/usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp WARNING 2021-10-13 22:28:55,164 launch.py:359] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode INFO 2021-10-13 22:28:55,164 launch_utils.py:621] Change selected_gpus into reletive values. --ips:0,1,2,3 will change into relative_ips:[0, 1, 2, 3] according to your CUDA_VISIBLE_DEVICES:['0', '1', '2', '3'] INFO 2021-10-13 22:28:55,167 launch_utils.py:510] Local start 4 processes. First process distributed environment info (Only For Debug): +=======================================================================================+ | Distributed Envs Value | +---------------------------------------------------------------------------------------+ | PADDLE_TRAINER_ID 0 | | PADDLE_CURRENT_ENDPOINT 127.0.0.1:60007 | | PADDLE_TRAINERS_NUM 4 | | PADDLE_TRAINER_ENDPOINTS ... 0.1:60008,127.0.0.1:60009,127.0.0.1:60010| | PADDLE_RANK_IN_NODE 0 | | PADDLE_LOCAL_DEVICE_IDS 0 | | PADDLE_WORLD_DEVICE_IDS 0,1,2,3 | | FLAGS_selected_gpus 0 | | FLAGS_selected_accelerators 0 | +=======================================================================================+ INFO 2021-10-13 22:28:55,167 launch_utils.py:514] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0 ----------- Configuration Arguments ----------- gpus: 0,1,2,3 heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None run_mode: None server_num: None servers: training_script: tools/train.py training_script_args: ['-c', 'configs/picodet/picodet_lcnet_1_5x_416_coco.yml', '--eval'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode! launch proc_id:17257 idx:0 launch proc_id:17260 idx:1 launch proc_id:17263 idx:2 launch proc_id:17266 idx:3 /usr/local/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp Warning: import ppdet from source directory without installing, run 'python setup.py install' to install ppdet firstly W1013 22:28:59.154403 17257 gen_comm_id_helper.cc:120] connect addr=127.0.0.1:60008 failed 1 times with reason: Connection refused retry after 0.5 seconds I1013 22:28:59.654826 17257 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 W1013 22:29:00.234699 17257 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.1 W1013 22:29:00.234925 17257 device_context.cc:422] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=21.26s) creating index... index created! [10/13 22:29:36] 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. [10/13 22:29:52] 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. [10/13 22:30:20] ppdet.engine INFO: Epoch: [0] [ 0/523] learning_rate: 0.040000 loss_vfl: 1.276988 loss_bbox: 0.798493 loss_dfl: 0.397028 loss: 2.472509 eta: 38 days, 12:03:16 batch_cost: 21.2020 data_cost: 4.8903 ips: 2.6413 images/s [10/13 22:31:11] ppdet.engine INFO: Epoch: [0] [ 20/523] learning_rate: 0.064000 loss_vfl: 1.175833 loss_bbox: 1.074640 loss_dfl: 0.475594 loss: 2.731905 eta: 6 days, 0:51:28 batch_cost: 2.4302 data_cost: 0.0018 ips: 23.0431 images/s [10/13 22:32:00] ppdet.engine INFO: Epoch: [0] [ 40/523] learning_rate: 0.088000 loss_vfl: 1.157000 loss_bbox: 0.906602 loss_dfl: 0.428394 loss: 2.525967 eta: 5 days, 4:04:35 batch_cost: 2.3473 data_cost: 0.0014 ips: 23.8575 images/s [10/13 22:32:48] ppdet.engine INFO: Epoch: [0] [ 60/523] learning_rate: 0.112000 loss_vfl: 1.092762 loss_bbox: 0.760205 loss_dfl: 0.365366 loss: 2.209444 eta: 4 days, 20:28:15 batch_cost: 2.3163 data_cost: 0.0014 ips: 24.1769 images/s [10/13 22:33:37] ppdet.engine INFO: Epoch: [0] [ 80/523] learning_rate: 0.136000 loss_vfl: 1.064757 loss_bbox: 0.710654 loss_dfl: 0.336662 loss: 2.080302 eta: 4 days, 16:52:26 batch_cost: 2.3404 data_cost: 0.0012 ips: 23.9279 images/s [10/13 22:34:27] ppdet.engine INFO: Epoch: [0] [100/523] learning_rate: 0.160000 loss_vfl: 1.101360 loss_bbox: 0.655103 loss_dfl: 0.311651 loss: 2.118398 eta: 4 days, 15:07:43 batch_cost: 2.3905 data_cost: 0.0013 ips: 23.4264 images/s [10/13 22:35:16] ppdet.engine INFO: Epoch: [0] [120/523] learning_rate: 0.184000 loss_vfl: 1.158512 loss_bbox: 0.624326 loss_dfl: 0.315957 loss: 2.084449 eta: 4 days, 13:35:24 batch_cost: 2.3397 data_cost: 0.0012 ips: 23.9350 images/s [10/13 22:36:05] ppdet.engine INFO: Epoch: [0] [140/523] learning_rate: 0.208000 loss_vfl: 1.158792 loss_bbox: 0.637663 loss_dfl: 0.310556 loss: 2.117538 eta: 4 days, 12:25:08 batch_cost: 2.3290 data_cost: 0.0014 ips: 24.0443 images/s [10/13 22:36:53] ppdet.engine INFO: Epoch: [0] [160/523] learning_rate: 0.232000 loss_vfl: 1.213348 loss_bbox: 0.564583 loss_dfl: 0.287035 loss: 2.053815 eta: 4 days, 11:11:20 batch_cost: 2.2650 data_cost: 0.0013 ips: 24.7241 images/s [10/13 22:37:40] ppdet.engine INFO: Epoch: [0] [180/523] learning_rate: 0.256000 loss_vfl: 1.191996 loss_bbox: 0.542720 loss_dfl: 0.275347 loss: 2.011558 eta: 4 days, 10:09:52 batch_cost: 2.2518 data_cost: 0.0013 ips: 24.8690 images/s [10/13 22:38:27] ppdet.engine INFO: Epoch: [0] [200/523] learning_rate: 0.280000 loss_vfl: 1.212627 loss_bbox: 0.539981 loss_dfl: 0.272849 loss: 2.003867 eta: 4 days, 9:13:54 batch_cost: 2.2265 data_cost: 0.0012 ips: 25.1521 images/s [10/13 22:39:15] ppdet.engine INFO: Epoch: [0] [220/523] learning_rate: 0.304000 loss_vfl: 1.214266 loss_bbox: 0.545257 loss_dfl: 0.279020 loss: 2.044576 eta: 4 days, 8:50:00 batch_cost: 2.3198 data_cost: 0.0012 ips: 24.1397 images/s [10/13 22:40:03] ppdet.engine INFO: Epoch: [0] [240/523] learning_rate: 0.328000 loss_vfl: 1.230458 loss_bbox: 0.535636 loss_dfl: 0.270640 loss: 2.012300 eta: 4 days, 8:17:27 batch_cost: 2.2623 data_cost: 0.0013 ips: 24.7541 images/s [10/13 22:40:50] ppdet.engine INFO: Epoch: [0] [260/523] learning_rate: 0.352000 loss_vfl: 1.226745 loss_bbox: 0.505934 loss_dfl: 0.271759 loss: 2.010890 eta: 4 days, 7:53:22 batch_cost: 2.2802 data_cost: 0.0013 ips: 24.5596 images/s [10/13 22:41:39] ppdet.engine INFO: Epoch: [0] [280/523] learning_rate: 0.376000 loss_vfl: 1.180343 loss_bbox: 0.522780 loss_dfl: 0.279697 loss: 1.983043 eta: 4 days, 7:40:56 batch_cost: 2.3250 data_cost: 0.0014 ips: 24.0856 images/s [10/13 22:42:28] ppdet.engine INFO: Epoch: [0] [300/523] learning_rate: 0.399996 loss_vfl: 1.173513 loss_bbox: 0.476224 loss_dfl: 0.255513 loss: 1.920277 eta: 4 days, 7:29:56 batch_cost: 2.3243 data_cost: 0.0012 ips: 24.0929 images/s [10/13 22:43:18] ppdet.engine INFO: Epoch: [0] [320/523] learning_rate: 0.399996 loss_vfl: 1.199967 loss_bbox: 0.481071 loss_dfl: 0.255666 loss: 1.918590 eta: 4 days, 7:25:01 batch_cost: 2.3539 data_cost: 0.0013 ips: 23.7904 images/s [10/13 22:44:07] ppdet.engine INFO: Epoch: [0] [340/523] learning_rate: 0.399995 loss_vfl: 1.200554 loss_bbox: 0.446789 loss_dfl: 0.242790 loss: 1.898084 eta: 4 days, 7:18:42 batch_cost: 2.3417 data_cost: 0.0012 ips: 23.9143 images/s [10/13 22:44:55] ppdet.engine INFO: Epoch: [0] [360/523] learning_rate: 0.399995 loss_vfl: 1.172351 loss_bbox: 0.455491 loss_dfl: 0.250360 loss: 1.898363 eta: 4 days, 7:07:07 batch_cost: 2.3009 data_cost: 0.0012 ips: 24.3383 images/s [10/13 22:45:44] ppdet.engine INFO: Epoch: [0] [380/523] learning_rate: 0.399994 loss_vfl: 1.199131 loss_bbox: 0.478454 loss_dfl: 0.253378 loss: 1.914479 eta: 4 days, 7:02:28 batch_cost: 2.3433 data_cost: 0.0012 ips: 23.8984 images/s [10/13 22:46:32] ppdet.engine INFO: Epoch: [0] [400/523] learning_rate: 0.399994 loss_vfl: 1.178151 loss_bbox: 0.464449 loss_dfl: 0.255670 loss: 1.897515 eta: 4 days, 6:49:25 batch_cost: 2.2758 data_cost: 0.0012 ips: 24.6069 images/s [10/13 22:47:21] ppdet.engine INFO: Epoch: [0] [420/523] learning_rate: 0.399993 loss_vfl: 1.189953 loss_bbox: 0.468966 loss_dfl: 0.255804 loss: 1.902828 eta: 4 days, 6:39:57 batch_cost: 2.2951 data_cost: 0.0012 ips: 24.3996 images/s [10/13 22:48:09] ppdet.engine INFO: Epoch: [0] [440/523] learning_rate: 0.399992 loss_vfl: 1.172602 loss_bbox: 0.476813 loss_dfl: 0.250153 loss: 1.899870 eta: 4 days, 6:31:44 batch_cost: 2.2991 data_cost: 0.0013 ips: 24.3570 images/s [10/13 22:48:58] ppdet.engine INFO: Epoch: [0] [460/523] learning_rate: 0.399992 loss_vfl: 1.164659 loss_bbox: 0.439149 loss_dfl: 0.250697 loss: 1.868389 eta: 4 days, 6:30:25 batch_cost: 2.3545 data_cost: 0.0013 ips: 23.7846 images/s [10/13 22:49:48] ppdet.engine INFO: Epoch: [0] [480/523] learning_rate: 0.399991 loss_vfl: 1.155351 loss_bbox: 0.482580 loss_dfl: 0.261272 loss: 1.908117 eta: 4 days, 6:33:33 batch_cost: 2.3951 data_cost: 0.0012 ips: 23.3815 images/s [10/13 22:50:35] ppdet.engine INFO: Epoch: [0] [500/523] learning_rate: 0.399990 loss_vfl: 1.151164 loss_bbox: 0.457016 loss_dfl: 0.248092 loss: 1.877263 eta: 4 days, 6:21:31 batch_cost: 2.2523 data_cost: 0.0013 ips: 24.8638 images/s [10/13 22:51:19] ppdet.engine INFO: Epoch: [0] [520/523] learning_rate: 0.399989 loss_vfl: 1.144812 loss_bbox: 0.438103 loss_dfl: 0.241219 loss: 1.816922 eta: 4 days, 5:51:41 batch_cost: 2.0657 data_cost: 0.0012 ips: 27.1090 images/s [10/13 22:51:46] ppdet.engine INFO: Epoch: [1] [ 0/523] learning_rate: 0.399989 loss_vfl: 1.153615 loss_bbox: 0.425332 loss_dfl: 0.237895 loss: 1.812068 eta: 4 days, 7:17:28 batch_cost: 2.9371 data_cost: 0.5140 ips: 19.0663 images/s [10/13 22:52:37] ppdet.engine INFO: Epoch: [1] [ 20/523] learning_rate: 0.399988 loss_vfl: 1.147947 loss_bbox: 0.438936 loss_dfl: 0.244803 loss: 1.856528 eta: 4 days, 7:24:40 batch_cost: 2.4612 data_cost: 0.0013 ips: 22.7531 images/s [10/13 22:53:27] ppdet.engine INFO: Epoch: [1] [ 40/523] learning_rate: 0.399987 loss_vfl: 1.130168 loss_bbox: 0.448079 loss_dfl: 0.243127 loss: 1.795665 eta: 4 days, 7:19:54 batch_cost: 2.3381 data_cost: 0.0013 ips: 23.9512 images/s [10/13 22:54:14] ppdet.engine INFO: Epoch: [1] [ 60/523] learning_rate: 0.399986 loss_vfl: 1.140999 loss_bbox: 0.435414 loss_dfl: 0.239162 loss: 1.816966 eta: 4 days, 7:10:48 batch_cost: 2.2862 data_cost: 0.0013 ips: 24.4945 images/s [10/13 22:55:03] ppdet.engine INFO: Epoch: [1] [ 80/523] learning_rate: 0.399985 loss_vfl: 1.135342 loss_bbox: 0.456274 loss_dfl: 0.250516 loss: 1.832615 eta: 4 days, 7:03:28 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3425 images/s [10/13 22:55:52] ppdet.engine INFO: Epoch: [1] [100/523] learning_rate: 0.399984 loss_vfl: 1.160250 loss_bbox: 0.412619 loss_dfl: 0.231383 loss: 1.811075 eta: 4 days, 7:00:43 batch_cost: 2.3502 data_cost: 0.0012 ips: 23.8275 images/s [10/13 22:56:42] ppdet.engine INFO: Epoch: [1] [120/523] learning_rate: 0.399983 loss_vfl: 1.163442 loss_bbox: 0.401470 loss_dfl: 0.223365 loss: 1.830278 eta: 4 days, 7:00:07 batch_cost: 2.3754 data_cost: 0.0012 ips: 23.5750 images/s [10/13 22:57:33] ppdet.engine INFO: Epoch: [1] [140/523] learning_rate: 0.399982 loss_vfl: 1.167456 loss_bbox: 0.415232 loss_dfl: 0.227677 loss: 1.808751 eta: 4 days, 7:04:14 batch_cost: 2.4356 data_cost: 0.0013 ips: 22.9924 images/s [10/13 22:58:22] ppdet.engine INFO: Epoch: [1] [160/523] learning_rate: 0.399981 loss_vfl: 1.109517 loss_bbox: 0.430465 loss_dfl: 0.242413 loss: 1.791040 eta: 4 days, 7:03:12 batch_cost: 2.3717 data_cost: 0.0024 ips: 23.6114 images/s [10/13 22:59:11] ppdet.engine INFO: Epoch: [1] [180/523] learning_rate: 0.399980 loss_vfl: 1.141288 loss_bbox: 0.401436 loss_dfl: 0.221449 loss: 1.764892 eta: 4 days, 6:59:29 batch_cost: 2.3353 data_cost: 0.0012 ips: 23.9802 images/s [10/13 23:00:01] ppdet.engine INFO: Epoch: [1] [200/523] learning_rate: 0.399979 loss_vfl: 1.129105 loss_bbox: 0.424126 loss_dfl: 0.231698 loss: 1.804758 eta: 4 days, 6:57:15 batch_cost: 2.3537 data_cost: 0.0012 ips: 23.7924 images/s [10/13 23:00:49] ppdet.engine INFO: Epoch: [1] [220/523] learning_rate: 0.399978 loss_vfl: 1.103156 loss_bbox: 0.422988 loss_dfl: 0.230092 loss: 1.758120 eta: 4 days, 6:49:59 batch_cost: 2.2807 data_cost: 0.0012 ips: 24.5535 images/s [10/13 23:01:38] ppdet.engine INFO: Epoch: [1] [240/523] learning_rate: 0.399977 loss_vfl: 1.110149 loss_bbox: 0.422506 loss_dfl: 0.230361 loss: 1.766227 eta: 4 days, 6:46:53 batch_cost: 2.3368 data_cost: 0.0013 ips: 23.9649 images/s [10/13 23:02:27] ppdet.engine INFO: Epoch: [1] [260/523] learning_rate: 0.399975 loss_vfl: 1.126259 loss_bbox: 0.408207 loss_dfl: 0.229364 loss: 1.767344 eta: 4 days, 6:44:49 batch_cost: 2.3505 data_cost: 0.0026 ips: 23.8247 images/s [10/13 23:03:15] ppdet.engine INFO: Epoch: [1] [280/523] learning_rate: 0.399974 loss_vfl: 1.089318 loss_bbox: 0.425346 loss_dfl: 0.237831 loss: 1.745602 eta: 4 days, 6:39:00 batch_cost: 2.2916 data_cost: 0.0012 ips: 24.4370 images/s [10/13 23:04:04] ppdet.engine INFO: Epoch: [1] [300/523] learning_rate: 0.399973 loss_vfl: 1.125814 loss_bbox: 0.424179 loss_dfl: 0.239734 loss: 1.798962 eta: 4 days, 6:35:29 batch_cost: 2.3243 data_cost: 0.0016 ips: 24.0928 images/s [10/13 23:04:53] ppdet.engine INFO: Epoch: [1] [320/523] learning_rate: 0.399972 loss_vfl: 1.131064 loss_bbox: 0.412102 loss_dfl: 0.230573 loss: 1.781367 eta: 4 days, 6:31:52 batch_cost: 2.3204 data_cost: 0.0012 ips: 24.1342 images/s [10/13 23:05:41] ppdet.engine INFO: Epoch: [1] [340/523] learning_rate: 0.399970 loss_vfl: 1.117442 loss_bbox: 0.415525 loss_dfl: 0.238898 loss: 1.778528 eta: 4 days, 6:28:48 batch_cost: 2.3273 data_cost: 0.0012 ips: 24.0626 images/s [10/13 23:06:30] ppdet.engine INFO: Epoch: [1] [360/523] learning_rate: 0.399969 loss_vfl: 1.097814 loss_bbox: 0.385996 loss_dfl: 0.220550 loss: 1.720503 eta: 4 days, 6:25:31 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1150 images/s [10/13 23:07:18] ppdet.engine INFO: Epoch: [1] [380/523] learning_rate: 0.399967 loss_vfl: 1.075274 loss_bbox: 0.426197 loss_dfl: 0.242848 loss: 1.728918 eta: 4 days, 6:21:08 batch_cost: 2.3007 data_cost: 0.0013 ips: 24.3403 images/s [10/13 23:08:06] ppdet.engine INFO: Epoch: [1] [400/523] learning_rate: 0.399966 loss_vfl: 1.092392 loss_bbox: 0.395003 loss_dfl: 0.222913 loss: 1.715527 eta: 4 days, 6:15:54 batch_cost: 2.2829 data_cost: 0.0020 ips: 24.5298 images/s [10/13 23:08:55] ppdet.engine INFO: Epoch: [1] [420/523] learning_rate: 0.399964 loss_vfl: 1.082557 loss_bbox: 0.407934 loss_dfl: 0.224530 loss: 1.725990 eta: 4 days, 6:14:36 batch_cost: 2.3511 data_cost: 0.0013 ips: 23.8188 images/s [10/13 23:09:43] ppdet.engine INFO: Epoch: [1] [440/523] learning_rate: 0.399963 loss_vfl: 1.114111 loss_bbox: 0.376628 loss_dfl: 0.217633 loss: 1.726862 eta: 4 days, 6:11:09 batch_cost: 2.3108 data_cost: 0.0012 ips: 24.2340 images/s [10/13 23:10:32] ppdet.engine INFO: Epoch: [1] [460/523] learning_rate: 0.399961 loss_vfl: 1.090220 loss_bbox: 0.409582 loss_dfl: 0.224213 loss: 1.721274 eta: 4 days, 6:09:23 batch_cost: 2.3405 data_cost: 0.0012 ips: 23.9270 images/s [10/13 23:11:20] ppdet.engine INFO: Epoch: [1] [480/523] learning_rate: 0.399960 loss_vfl: 1.078564 loss_bbox: 0.415715 loss_dfl: 0.241273 loss: 1.728129 eta: 4 days, 6:04:22 batch_cost: 2.2769 data_cost: 0.0025 ips: 24.5951 images/s [10/13 23:12:09] ppdet.engine INFO: Epoch: [1] [500/523] learning_rate: 0.399958 loss_vfl: 1.068547 loss_bbox: 0.407380 loss_dfl: 0.224768 loss: 1.676673 eta: 4 days, 6:01:39 batch_cost: 2.3190 data_cost: 0.0012 ips: 24.1479 images/s [10/13 23:12:51] ppdet.engine INFO: Epoch: [1] [520/523] learning_rate: 0.399956 loss_vfl: 1.072245 loss_bbox: 0.440634 loss_dfl: 0.244718 loss: 1.766149 eta: 4 days, 5:42:27 batch_cost: 1.9864 data_cost: 0.0012 ips: 28.1923 images/s [10/13 23:13:18] ppdet.engine INFO: Epoch: [2] [ 0/523] learning_rate: 0.399956 loss_vfl: 1.070716 loss_bbox: 0.440634 loss_dfl: 0.247254 loss: 1.761921 eta: 4 days, 6:24:58 batch_cost: 2.8592 data_cost: 0.3474 ips: 19.5857 images/s [10/13 23:14:08] ppdet.engine INFO: Epoch: [2] [ 20/523] learning_rate: 0.399954 loss_vfl: 1.102021 loss_bbox: 0.408533 loss_dfl: 0.238169 loss: 1.748619 eta: 4 days, 6:26:04 batch_cost: 2.4045 data_cost: 0.0017 ips: 23.2894 images/s [10/13 23:14:57] ppdet.engine INFO: Epoch: [2] [ 40/523] learning_rate: 0.399953 loss_vfl: 1.088770 loss_bbox: 0.396610 loss_dfl: 0.226144 loss: 1.731648 eta: 4 days, 6:22:29 batch_cost: 2.3078 data_cost: 0.0013 ips: 24.2652 images/s [10/13 23:15:44] ppdet.engine INFO: Epoch: [2] [ 60/523] learning_rate: 0.399951 loss_vfl: 1.095245 loss_bbox: 0.401719 loss_dfl: 0.228176 loss: 1.735367 eta: 4 days, 6:16:57 batch_cost: 2.2643 data_cost: 0.0015 ips: 24.7314 images/s [10/13 23:16:33] ppdet.engine INFO: Epoch: [2] [ 80/523] learning_rate: 0.399949 loss_vfl: 1.087393 loss_bbox: 0.404854 loss_dfl: 0.227544 loss: 1.716006 eta: 4 days, 6:14:06 batch_cost: 2.3186 data_cost: 0.0013 ips: 24.1521 images/s [10/13 23:17:21] ppdet.engine INFO: Epoch: [2] [100/523] learning_rate: 0.399947 loss_vfl: 1.084818 loss_bbox: 0.408365 loss_dfl: 0.235655 loss: 1.708927 eta: 4 days, 6:10:14 batch_cost: 2.2948 data_cost: 0.0013 ips: 24.4030 images/s [10/13 23:18:10] ppdet.engine INFO: Epoch: [2] [120/523] learning_rate: 0.399945 loss_vfl: 1.090857 loss_bbox: 0.378221 loss_dfl: 0.223993 loss: 1.685452 eta: 4 days, 6:08:21 batch_cost: 2.3366 data_cost: 0.0014 ips: 23.9661 images/s [10/13 23:18:59] ppdet.engine INFO: Epoch: [2] [140/523] learning_rate: 0.399944 loss_vfl: 1.063668 loss_bbox: 0.413815 loss_dfl: 0.237494 loss: 1.732323 eta: 4 days, 6:06:26 batch_cost: 2.3352 data_cost: 0.0012 ips: 23.9805 images/s [10/13 23:19:48] ppdet.engine INFO: Epoch: [2] [160/523] learning_rate: 0.399942 loss_vfl: 1.074218 loss_bbox: 0.383768 loss_dfl: 0.214283 loss: 1.661295 eta: 4 days, 6:04:34 batch_cost: 2.3358 data_cost: 0.0028 ips: 23.9749 images/s [10/13 23:20:36] ppdet.engine INFO: Epoch: [2] [180/523] learning_rate: 0.399940 loss_vfl: 1.068899 loss_bbox: 0.389696 loss_dfl: 0.221369 loss: 1.689601 eta: 4 days, 6:00:54 batch_cost: 2.2921 data_cost: 0.0013 ips: 24.4314 images/s [10/13 23:21:24] ppdet.engine INFO: Epoch: [2] [200/523] learning_rate: 0.399938 loss_vfl: 1.075444 loss_bbox: 0.396515 loss_dfl: 0.219498 loss: 1.690919 eta: 4 days, 5:57:06 batch_cost: 2.2866 data_cost: 0.0013 ips: 24.4901 images/s [10/13 23:22:12] ppdet.engine INFO: Epoch: [2] [220/523] learning_rate: 0.399936 loss_vfl: 1.056201 loss_bbox: 0.398931 loss_dfl: 0.224767 loss: 1.699419 eta: 4 days, 5:53:54 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3584 images/s [10/13 23:23:00] ppdet.engine INFO: Epoch: [2] [240/523] learning_rate: 0.399934 loss_vfl: 1.044868 loss_bbox: 0.419920 loss_dfl: 0.237006 loss: 1.717180 eta: 4 days, 5:49:02 batch_cost: 2.2556 data_cost: 0.0012 ips: 24.8270 images/s [10/13 23:23:47] ppdet.engine INFO: Epoch: [2] [260/523] learning_rate: 0.399932 loss_vfl: 1.061270 loss_bbox: 0.393527 loss_dfl: 0.230540 loss: 1.686026 eta: 4 days, 5:44:27 batch_cost: 2.2601 data_cost: 0.0012 ips: 24.7778 images/s [10/13 23:24:37] ppdet.engine INFO: Epoch: [2] [280/523] learning_rate: 0.399930 loss_vfl: 1.065184 loss_bbox: 0.419151 loss_dfl: 0.229072 loss: 1.701404 eta: 4 days, 5:43:32 batch_cost: 2.3506 data_cost: 0.0013 ips: 23.8235 images/s [10/13 23:25:24] ppdet.engine INFO: Epoch: [2] [300/523] learning_rate: 0.399927 loss_vfl: 1.075432 loss_bbox: 0.396823 loss_dfl: 0.225907 loss: 1.699059 eta: 4 days, 5:38:33 batch_cost: 2.2447 data_cost: 0.0012 ips: 24.9479 images/s [10/13 23:26:11] ppdet.engine INFO: Epoch: [2] [320/523] learning_rate: 0.399925 loss_vfl: 1.064709 loss_bbox: 0.382375 loss_dfl: 0.223106 loss: 1.697670 eta: 4 days, 5:33:07 batch_cost: 2.2296 data_cost: 0.0012 ips: 25.1170 images/s [10/13 23:27:00] ppdet.engine INFO: Epoch: [2] [340/523] learning_rate: 0.399923 loss_vfl: 1.062412 loss_bbox: 0.395032 loss_dfl: 0.220200 loss: 1.653368 eta: 4 days, 5:31:49 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9654 images/s [10/13 23:27:48] ppdet.engine INFO: Epoch: [2] [360/523] learning_rate: 0.399921 loss_vfl: 1.065792 loss_bbox: 0.376222 loss_dfl: 0.218531 loss: 1.672618 eta: 4 days, 5:28:52 batch_cost: 2.2915 data_cost: 0.0012 ips: 24.4378 images/s [10/13 23:28:37] ppdet.engine INFO: Epoch: [2] [380/523] learning_rate: 0.399918 loss_vfl: 1.058282 loss_bbox: 0.370687 loss_dfl: 0.212936 loss: 1.634942 eta: 4 days, 5:26:29 batch_cost: 2.3058 data_cost: 0.0013 ips: 24.2866 images/s [10/13 23:29:25] ppdet.engine INFO: Epoch: [2] [400/523] learning_rate: 0.399916 loss_vfl: 1.039360 loss_bbox: 0.380724 loss_dfl: 0.218194 loss: 1.636183 eta: 4 days, 5:23:26 batch_cost: 2.2851 data_cost: 0.0014 ips: 24.5062 images/s [10/13 23:30:12] ppdet.engine INFO: Epoch: [2] [420/523] learning_rate: 0.399914 loss_vfl: 1.056582 loss_bbox: 0.389021 loss_dfl: 0.223328 loss: 1.675365 eta: 4 days, 5:19:23 batch_cost: 2.2555 data_cost: 0.0012 ips: 24.8283 images/s [10/13 23:31:00] ppdet.engine INFO: Epoch: [2] [440/523] learning_rate: 0.399911 loss_vfl: 1.053700 loss_bbox: 0.361416 loss_dfl: 0.217566 loss: 1.639761 eta: 4 days, 5:16:05 batch_cost: 2.2747 data_cost: 0.0013 ips: 24.6186 images/s [10/13 23:31:49] ppdet.engine INFO: Epoch: [2] [460/523] learning_rate: 0.399909 loss_vfl: 1.065049 loss_bbox: 0.390048 loss_dfl: 0.229427 loss: 1.678978 eta: 4 days, 5:15:32 batch_cost: 2.3525 data_cost: 0.0020 ips: 23.8044 images/s [10/13 23:32:39] ppdet.engine INFO: Epoch: [2] [480/523] learning_rate: 0.399907 loss_vfl: 1.080594 loss_bbox: 0.395186 loss_dfl: 0.222619 loss: 1.662999 eta: 4 days, 5:15:33 batch_cost: 2.3693 data_cost: 0.0013 ips: 23.6358 images/s [10/13 23:33:27] ppdet.engine INFO: Epoch: [2] [500/523] learning_rate: 0.399904 loss_vfl: 1.074182 loss_bbox: 0.371099 loss_dfl: 0.217516 loss: 1.677578 eta: 4 days, 5:11:54 batch_cost: 2.2606 data_cost: 0.0012 ips: 24.7721 images/s [10/13 23:34:09] ppdet.engine INFO: Epoch: [2] [520/523] learning_rate: 0.399902 loss_vfl: 1.064586 loss_bbox: 0.375015 loss_dfl: 0.215025 loss: 1.678772 eta: 4 days, 4:59:33 batch_cost: 1.9950 data_cost: 0.0011 ips: 28.0697 images/s [10/13 23:34:35] ppdet.engine INFO: Epoch: [3] [ 0/523] learning_rate: 0.399901 loss_vfl: 1.064586 loss_bbox: 0.389930 loss_dfl: 0.219696 loss: 1.672413 eta: 4 days, 5:26:25 batch_cost: 2.8396 data_cost: 0.4646 ips: 19.7208 images/s [10/13 23:35:25] ppdet.engine INFO: Epoch: [3] [ 20/523] learning_rate: 0.399899 loss_vfl: 1.041582 loss_bbox: 0.378185 loss_dfl: 0.211705 loss: 1.647019 eta: 4 days, 5:27:02 batch_cost: 2.3939 data_cost: 0.0013 ips: 23.3925 images/s [10/13 23:36:14] ppdet.engine INFO: Epoch: [3] [ 40/523] learning_rate: 0.399896 loss_vfl: 1.036873 loss_bbox: 0.383354 loss_dfl: 0.226166 loss: 1.657019 eta: 4 days, 5:25:08 batch_cost: 2.3169 data_cost: 0.0013 ips: 24.1700 images/s [10/13 23:37:03] ppdet.engine INFO: Epoch: [3] [ 60/523] learning_rate: 0.399894 loss_vfl: 1.052453 loss_bbox: 0.383313 loss_dfl: 0.216794 loss: 1.631148 eta: 4 days, 5:23:33 batch_cost: 2.3257 data_cost: 0.0013 ips: 24.0784 images/s [10/13 23:37:52] ppdet.engine INFO: Epoch: [3] [ 80/523] learning_rate: 0.399891 loss_vfl: 1.057787 loss_bbox: 0.398168 loss_dfl: 0.228559 loss: 1.677563 eta: 4 days, 5:22:13 batch_cost: 2.3332 data_cost: 0.0013 ips: 24.0015 images/s [10/13 23:38:40] ppdet.engine INFO: Epoch: [3] [100/523] learning_rate: 0.399888 loss_vfl: 1.031265 loss_bbox: 0.373812 loss_dfl: 0.218398 loss: 1.633252 eta: 4 days, 5:19:37 batch_cost: 2.2922 data_cost: 0.0013 ips: 24.4310 images/s [10/13 23:39:29] ppdet.engine INFO: Epoch: [3] [120/523] learning_rate: 0.399886 loss_vfl: 1.045793 loss_bbox: 0.382630 loss_dfl: 0.211528 loss: 1.655849 eta: 4 days, 5:17:06 batch_cost: 2.2932 data_cost: 0.0013 ips: 24.4197 images/s [10/13 23:40:18] ppdet.engine INFO: Epoch: [3] [140/523] learning_rate: 0.399883 loss_vfl: 1.022730 loss_bbox: 0.410755 loss_dfl: 0.228931 loss: 1.658535 eta: 4 days, 5:16:10 batch_cost: 2.3444 data_cost: 0.0013 ips: 23.8867 images/s [10/13 23:41:06] ppdet.engine INFO: Epoch: [3] [160/523] learning_rate: 0.399880 loss_vfl: 1.053926 loss_bbox: 0.360690 loss_dfl: 0.213712 loss: 1.649204 eta: 4 days, 5:14:19 batch_cost: 2.3132 data_cost: 0.0013 ips: 24.2084 images/s [10/13 23:41:54] ppdet.engine INFO: Epoch: [3] [180/523] learning_rate: 0.399877 loss_vfl: 1.069737 loss_bbox: 0.367626 loss_dfl: 0.222121 loss: 1.658373 eta: 4 days, 5:11:08 batch_cost: 2.2674 data_cost: 0.0012 ips: 24.6983 images/s [10/13 23:42:40] ppdet.engine INFO: Epoch: [3] [200/523] learning_rate: 0.399875 loss_vfl: 1.045896 loss_bbox: 0.387611 loss_dfl: 0.224725 loss: 1.652249 eta: 4 days, 5:06:13 batch_cost: 2.2064 data_cost: 0.0012 ips: 25.3811 images/s [10/13 23:43:28] ppdet.engine INFO: Epoch: [3] [220/523] learning_rate: 0.399872 loss_vfl: 1.059822 loss_bbox: 0.368415 loss_dfl: 0.215638 loss: 1.636403 eta: 4 days, 5:03:16 batch_cost: 2.2717 data_cost: 0.0012 ips: 24.6516 images/s [10/13 23:44:16] ppdet.engine INFO: Epoch: [3] [240/523] learning_rate: 0.399869 loss_vfl: 1.042562 loss_bbox: 0.389238 loss_dfl: 0.217237 loss: 1.670252 eta: 4 days, 5:00:22 batch_cost: 2.2711 data_cost: 0.0023 ips: 24.6579 images/s [10/13 23:45:05] ppdet.engine INFO: Epoch: [3] [260/523] learning_rate: 0.399866 loss_vfl: 1.057063 loss_bbox: 0.353332 loss_dfl: 0.207606 loss: 1.629382 eta: 4 days, 4:59:23 batch_cost: 2.3374 data_cost: 0.0019 ips: 23.9581 images/s [10/13 23:45:53] ppdet.engine INFO: Epoch: [3] [280/523] learning_rate: 0.399863 loss_vfl: 1.030142 loss_bbox: 0.368614 loss_dfl: 0.215192 loss: 1.615485 eta: 4 days, 4:56:56 batch_cost: 2.2849 data_cost: 0.0013 ips: 24.5088 images/s [10/13 23:46:40] ppdet.engine INFO: Epoch: [3] [300/523] learning_rate: 0.399860 loss_vfl: 1.032340 loss_bbox: 0.386486 loss_dfl: 0.224280 loss: 1.660104 eta: 4 days, 4:54:14 batch_cost: 2.2743 data_cost: 0.0014 ips: 24.6225 images/s [10/13 23:47:28] ppdet.engine INFO: Epoch: [3] [320/523] learning_rate: 0.399857 loss_vfl: 1.018885 loss_bbox: 0.388388 loss_dfl: 0.217501 loss: 1.643761 eta: 4 days, 4:51:36 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6118 images/s [10/13 23:48:16] ppdet.engine INFO: Epoch: [3] [340/523] learning_rate: 0.399854 loss_vfl: 1.012594 loss_bbox: 0.380873 loss_dfl: 0.225196 loss: 1.631698 eta: 4 days, 4:49:53 batch_cost: 2.3078 data_cost: 0.0013 ips: 24.2659 images/s [10/13 23:49:03] ppdet.engine INFO: Epoch: [3] [360/523] learning_rate: 0.399851 loss_vfl: 1.019095 loss_bbox: 0.403995 loss_dfl: 0.232392 loss: 1.658468 eta: 4 days, 4:46:04 batch_cost: 2.2285 data_cost: 0.0012 ips: 25.1295 images/s [10/13 23:49:51] ppdet.engine INFO: Epoch: [3] [380/523] learning_rate: 0.399848 loss_vfl: 1.047725 loss_bbox: 0.361636 loss_dfl: 0.213362 loss: 1.630762 eta: 4 days, 4:43:05 batch_cost: 2.2580 data_cost: 0.0012 ips: 24.8005 images/s [10/13 23:50:39] ppdet.engine INFO: Epoch: [3] [400/523] learning_rate: 0.399845 loss_vfl: 1.030026 loss_bbox: 0.383647 loss_dfl: 0.221708 loss: 1.633887 eta: 4 days, 4:41:00 batch_cost: 2.2900 data_cost: 0.0013 ips: 24.4539 images/s [10/13 23:51:27] ppdet.engine INFO: Epoch: [3] [420/523] learning_rate: 0.399841 loss_vfl: 1.063359 loss_bbox: 0.367748 loss_dfl: 0.219641 loss: 1.655615 eta: 4 days, 4:38:58 batch_cost: 2.2915 data_cost: 0.0012 ips: 24.4386 images/s [10/13 23:52:13] ppdet.engine INFO: Epoch: [3] [440/523] learning_rate: 0.399838 loss_vfl: 1.048168 loss_bbox: 0.365712 loss_dfl: 0.212566 loss: 1.629648 eta: 4 days, 4:34:58 batch_cost: 2.2132 data_cost: 0.0012 ips: 25.3031 images/s [10/13 23:53:00] ppdet.engine INFO: Epoch: [3] [460/523] learning_rate: 0.399835 loss_vfl: 1.019874 loss_bbox: 0.384611 loss_dfl: 0.222767 loss: 1.612927 eta: 4 days, 4:31:43 batch_cost: 2.2406 data_cost: 0.0014 ips: 24.9933 images/s [10/13 23:53:48] ppdet.engine INFO: Epoch: [3] [480/523] learning_rate: 0.399832 loss_vfl: 1.036953 loss_bbox: 0.368848 loss_dfl: 0.210401 loss: 1.633368 eta: 4 days, 4:29:39 batch_cost: 2.2857 data_cost: 0.0012 ips: 24.5002 images/s [10/13 23:54:35] ppdet.engine INFO: Epoch: [3] [500/523] learning_rate: 0.399828 loss_vfl: 1.026379 loss_bbox: 0.379494 loss_dfl: 0.222504 loss: 1.654334 eta: 4 days, 4:26:38 batch_cost: 2.2466 data_cost: 0.0012 ips: 24.9270 images/s [10/13 23:55:18] ppdet.engine INFO: Epoch: [3] [520/523] learning_rate: 0.399825 loss_vfl: 1.048513 loss_bbox: 0.376648 loss_dfl: 0.223683 loss: 1.640815 eta: 4 days, 4:17:41 batch_cost: 2.0048 data_cost: 0.0011 ips: 27.9335 images/s [10/13 23:55:44] ppdet.engine INFO: Epoch: [4] [ 0/523] learning_rate: 0.399825 loss_vfl: 1.039106 loss_bbox: 0.376648 loss_dfl: 0.223683 loss: 1.640815 eta: 4 days, 4:37:22 batch_cost: 2.8152 data_cost: 0.5433 ips: 19.8918 images/s [10/13 23:56:36] ppdet.engine INFO: Epoch: [4] [ 20/523] learning_rate: 0.399821 loss_vfl: 1.041522 loss_bbox: 0.362439 loss_dfl: 0.216752 loss: 1.607431 eta: 4 days, 4:41:23 batch_cost: 2.5367 data_cost: 0.0014 ips: 22.0763 images/s [10/13 23:57:26] ppdet.engine INFO: Epoch: [4] [ 40/523] learning_rate: 0.399818 loss_vfl: 1.015806 loss_bbox: 0.368692 loss_dfl: 0.216581 loss: 1.624983 eta: 4 days, 4:40:55 batch_cost: 2.3547 data_cost: 0.0012 ips: 23.7820 images/s [10/13 23:58:13] ppdet.engine INFO: Epoch: [4] [ 60/523] learning_rate: 0.399814 loss_vfl: 1.020590 loss_bbox: 0.358729 loss_dfl: 0.202940 loss: 1.570457 eta: 4 days, 4:38:16 batch_cost: 2.2637 data_cost: 0.0012 ips: 24.7379 images/s [10/13 23:59:00] ppdet.engine INFO: Epoch: [4] [ 80/523] learning_rate: 0.399811 loss_vfl: 1.032777 loss_bbox: 0.359608 loss_dfl: 0.215354 loss: 1.621521 eta: 4 days, 4:34:49 batch_cost: 2.2287 data_cost: 0.0012 ips: 25.1262 images/s [10/13 23:59:47] ppdet.engine INFO: Epoch: [4] [100/523] learning_rate: 0.399807 loss_vfl: 1.043614 loss_bbox: 0.378779 loss_dfl: 0.221835 loss: 1.617501 eta: 4 days, 4:31:48 batch_cost: 2.2450 data_cost: 0.0012 ips: 24.9446 images/s [10/14 00:00:35] ppdet.engine INFO: Epoch: [4] [120/523] learning_rate: 0.399804 loss_vfl: 1.017201 loss_bbox: 0.363303 loss_dfl: 0.209504 loss: 1.599563 eta: 4 days, 4:29:54 batch_cost: 2.2910 data_cost: 0.0013 ips: 24.4436 images/s [10/14 00:01:23] ppdet.engine INFO: Epoch: [4] [140/523] learning_rate: 0.399800 loss_vfl: 1.004226 loss_bbox: 0.357597 loss_dfl: 0.211572 loss: 1.580711 eta: 4 days, 4:27:21 batch_cost: 2.2624 data_cost: 0.0012 ips: 24.7527 images/s [10/14 00:02:11] ppdet.engine INFO: Epoch: [4] [160/523] learning_rate: 0.399797 loss_vfl: 1.014217 loss_bbox: 0.378317 loss_dfl: 0.220679 loss: 1.621365 eta: 4 days, 4:26:02 batch_cost: 2.3146 data_cost: 0.0014 ips: 24.1947 images/s [10/14 00:03:00] ppdet.engine INFO: Epoch: [4] [180/523] learning_rate: 0.399793 loss_vfl: 1.024269 loss_bbox: 0.381367 loss_dfl: 0.221290 loss: 1.618670 eta: 4 days, 4:24:42 batch_cost: 2.3135 data_cost: 0.0019 ips: 24.2053 images/s [10/14 00:03:47] ppdet.engine INFO: Epoch: [4] [200/523] learning_rate: 0.399789 loss_vfl: 1.007615 loss_bbox: 0.371176 loss_dfl: 0.219349 loss: 1.593751 eta: 4 days, 4:21:48 batch_cost: 2.2439 data_cost: 0.0013 ips: 24.9571 images/s [10/14 00:04:37] ppdet.engine INFO: Epoch: [4] [220/523] learning_rate: 0.399786 loss_vfl: 1.030373 loss_bbox: 0.373229 loss_dfl: 0.216426 loss: 1.622970 eta: 4 days, 4:22:11 batch_cost: 2.3891 data_cost: 0.0012 ips: 23.4393 images/s [10/14 00:05:25] ppdet.engine INFO: Epoch: [4] [240/523] learning_rate: 0.399782 loss_vfl: 1.029971 loss_bbox: 0.365050 loss_dfl: 0.223646 loss: 1.609624 eta: 4 days, 4:20:36 batch_cost: 2.3008 data_cost: 0.0013 ips: 24.3398 images/s [10/14 00:06:13] ppdet.engine INFO: Epoch: [4] [260/523] learning_rate: 0.399778 loss_vfl: 1.016266 loss_bbox: 0.349565 loss_dfl: 0.213492 loss: 1.601199 eta: 4 days, 4:18:37 batch_cost: 2.2821 data_cost: 0.0012 ips: 24.5390 images/s [10/14 00:07:02] ppdet.engine INFO: Epoch: [4] [280/523] learning_rate: 0.399774 loss_vfl: 1.039139 loss_bbox: 0.363475 loss_dfl: 0.218709 loss: 1.622492 eta: 4 days, 4:17:44 batch_cost: 2.3321 data_cost: 0.0024 ips: 24.0124 images/s [10/14 00:07:50] ppdet.engine INFO: Epoch: [4] [300/523] learning_rate: 0.399771 loss_vfl: 1.006332 loss_bbox: 0.379526 loss_dfl: 0.219770 loss: 1.605589 eta: 4 days, 4:15:40 batch_cost: 2.2765 data_cost: 0.0019 ips: 24.5997 images/s [10/14 00:08:37] ppdet.engine INFO: Epoch: [4] [320/523] learning_rate: 0.399767 loss_vfl: 1.008671 loss_bbox: 0.374764 loss_dfl: 0.220475 loss: 1.629612 eta: 4 days, 4:12:50 batch_cost: 2.2399 data_cost: 0.0013 ips: 25.0017 images/s [10/14 00:09:25] ppdet.engine INFO: Epoch: [4] [340/523] learning_rate: 0.399763 loss_vfl: 1.002366 loss_bbox: 0.369012 loss_dfl: 0.218654 loss: 1.603317 eta: 4 days, 4:10:20 batch_cost: 2.2535 data_cost: 0.0012 ips: 24.8507 images/s [10/14 00:10:11] ppdet.engine INFO: Epoch: [4] [360/523] learning_rate: 0.399759 loss_vfl: 0.992741 loss_bbox: 0.390694 loss_dfl: 0.224584 loss: 1.620004 eta: 4 days, 4:06:30 batch_cost: 2.1897 data_cost: 0.0014 ips: 25.5748 images/s [10/14 00:11:02] ppdet.engine INFO: Epoch: [4] [380/523] learning_rate: 0.399755 loss_vfl: 1.012131 loss_bbox: 0.367689 loss_dfl: 0.213078 loss: 1.618703 eta: 4 days, 4:07:19 batch_cost: 2.4097 data_cost: 0.0013 ips: 23.2396 images/s [10/14 00:11:50] ppdet.engine INFO: Epoch: [4] [400/523] learning_rate: 0.399751 loss_vfl: 1.027988 loss_bbox: 0.373100 loss_dfl: 0.217235 loss: 1.636420 eta: 4 days, 4:06:21 batch_cost: 2.3248 data_cost: 0.0014 ips: 24.0884 images/s [10/14 00:12:38] ppdet.engine INFO: Epoch: [4] [420/523] learning_rate: 0.399747 loss_vfl: 0.992633 loss_bbox: 0.388095 loss_dfl: 0.223788 loss: 1.605506 eta: 4 days, 4:04:55 batch_cost: 2.3018 data_cost: 0.0015 ips: 24.3291 images/s [10/14 00:13:28] ppdet.engine INFO: Epoch: [4] [440/523] learning_rate: 0.399743 loss_vfl: 1.004888 loss_bbox: 0.372803 loss_dfl: 0.217561 loss: 1.586004 eta: 4 days, 4:04:21 batch_cost: 2.3447 data_cost: 0.0012 ips: 23.8837 images/s [10/14 00:14:14] ppdet.engine INFO: Epoch: [4] [460/523] learning_rate: 0.399739 loss_vfl: 1.002538 loss_bbox: 0.372353 loss_dfl: 0.213286 loss: 1.597257 eta: 4 days, 4:00:34 batch_cost: 2.1843 data_cost: 0.0012 ips: 25.6381 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learning_rate: 0.399722 loss_vfl: 1.015191 loss_bbox: 0.372929 loss_dfl: 0.217092 loss: 1.606692 eta: 4 days, 4:07:42 batch_cost: 2.4787 data_cost: 0.0012 ips: 22.5927 images/s [10/14 00:18:39] ppdet.engine INFO: Epoch: [5] [ 40/523] learning_rate: 0.399717 loss_vfl: 1.022976 loss_bbox: 0.362487 loss_dfl: 0.209835 loss: 1.582945 eta: 4 days, 4:07:05 batch_cost: 2.3452 data_cost: 0.0013 ips: 23.8789 images/s [10/14 00:19:26] ppdet.engine INFO: Epoch: [5] [ 60/523] learning_rate: 0.399713 loss_vfl: 1.007280 loss_bbox: 0.358571 loss_dfl: 0.213750 loss: 1.583832 eta: 4 days, 4:05:28 batch_cost: 2.2929 data_cost: 0.0012 ips: 24.4231 images/s [10/14 00:20:16] ppdet.engine INFO: Epoch: [5] [ 80/523] learning_rate: 0.399709 loss_vfl: 1.014179 loss_bbox: 0.364496 loss_dfl: 0.211567 loss: 1.582326 eta: 4 days, 4:05:00 batch_cost: 2.3526 data_cost: 0.0013 ips: 23.8035 images/s [10/14 00:21:03] ppdet.engine INFO: Epoch: [5] [100/523] learning_rate: 0.399705 loss_vfl: 1.014226 loss_bbox: 0.364921 loss_dfl: 0.214063 loss: 1.593881 eta: 4 days, 4:02:59 batch_cost: 2.2711 data_cost: 0.0013 ips: 24.6577 images/s [10/14 00:21:51] ppdet.engine INFO: Epoch: [5] [120/523] learning_rate: 0.399700 loss_vfl: 1.028674 loss_bbox: 0.372565 loss_dfl: 0.213400 loss: 1.618562 eta: 4 days, 4:01:07 batch_cost: 2.2778 data_cost: 0.0012 ips: 24.5847 images/s [10/14 00:22:38] ppdet.engine INFO: Epoch: [5] [140/523] learning_rate: 0.399696 loss_vfl: 1.013679 loss_bbox: 0.361319 loss_dfl: 0.214471 loss: 1.584855 eta: 4 days, 3:58:59 batch_cost: 2.2634 data_cost: 0.0012 ips: 24.7417 images/s [10/14 00:23:26] ppdet.engine INFO: Epoch: [5] [160/523] learning_rate: 0.399691 loss_vfl: 0.997207 loss_bbox: 0.376205 loss_dfl: 0.217114 loss: 1.598324 eta: 4 days, 3:57:12 batch_cost: 2.2810 data_cost: 0.0013 ips: 24.5510 images/s [10/14 00:24:14] ppdet.engine INFO: Epoch: [5] [180/523] learning_rate: 0.399687 loss_vfl: 0.998013 loss_bbox: 0.376388 loss_dfl: 0.215747 loss: 1.610698 eta: 4 days, 3:55:36 batch_cost: 2.2895 data_cost: 0.0016 ips: 24.4596 images/s [10/14 00:25:03] ppdet.engine INFO: Epoch: [5] [200/523] learning_rate: 0.399682 loss_vfl: 1.000071 loss_bbox: 0.346920 loss_dfl: 0.198196 loss: 1.559688 eta: 4 days, 3:54:47 batch_cost: 2.3328 data_cost: 0.0022 ips: 24.0057 images/s [10/14 00:25:50] ppdet.engine INFO: Epoch: [5] [220/523] learning_rate: 0.399678 loss_vfl: 0.990545 loss_bbox: 0.363101 loss_dfl: 0.215172 loss: 1.600996 eta: 4 days, 3:52:05 batch_cost: 2.2282 data_cost: 0.0012 ips: 25.1323 images/s [10/14 00:26:37] ppdet.engine INFO: Epoch: [5] [240/523] learning_rate: 0.399673 loss_vfl: 1.001155 loss_bbox: 0.373582 loss_dfl: 0.220561 loss: 1.618511 eta: 4 days, 3:49:52 batch_cost: 2.2530 data_cost: 0.0012 ips: 24.8555 images/s [10/14 00:27:24] ppdet.engine INFO: Epoch: [5] [260/523] learning_rate: 0.399669 loss_vfl: 1.028120 loss_bbox: 0.357345 loss_dfl: 0.213865 loss: 1.622678 eta: 4 days, 3:48:10 batch_cost: 2.2810 data_cost: 0.0013 ips: 24.5503 images/s [10/14 00:28:11] ppdet.engine INFO: Epoch: [5] [280/523] learning_rate: 0.399664 loss_vfl: 1.028053 loss_bbox: 0.348316 loss_dfl: 0.203122 loss: 1.595824 eta: 4 days, 3:45:18 batch_cost: 2.2152 data_cost: 0.0013 ips: 25.2798 images/s [10/14 00:28:57] ppdet.engine INFO: Epoch: [5] [300/523] learning_rate: 0.399659 loss_vfl: 0.987815 loss_bbox: 0.363022 loss_dfl: 0.218194 loss: 1.558806 eta: 4 days, 3:41:59 batch_cost: 2.1879 data_cost: 0.0012 ips: 25.5950 images/s [10/14 00:29:43] ppdet.engine INFO: Epoch: [5] [320/523] learning_rate: 0.399655 loss_vfl: 0.981719 loss_bbox: 0.378513 loss_dfl: 0.216488 loss: 1.569162 eta: 4 days, 3:39:15 batch_cost: 2.2191 data_cost: 0.0012 ips: 25.2352 images/s [10/14 00:30:30] ppdet.engine INFO: Epoch: [5] [340/523] learning_rate: 0.399650 loss_vfl: 0.986286 loss_bbox: 0.367411 loss_dfl: 0.217214 loss: 1.569913 eta: 4 days, 3:36:30 batch_cost: 2.2162 data_cost: 0.0019 ips: 25.2685 images/s [10/14 00:31:17] ppdet.engine INFO: Epoch: [5] [360/523] learning_rate: 0.399645 loss_vfl: 1.000799 loss_bbox: 0.352347 loss_dfl: 0.207965 loss: 1.539837 eta: 4 days, 3:34:13 batch_cost: 2.2421 data_cost: 0.0012 ips: 24.9768 images/s [10/14 00:32:04] ppdet.engine INFO: Epoch: [5] [380/523] learning_rate: 0.399640 loss_vfl: 1.000012 loss_bbox: 0.378429 loss_dfl: 0.214254 loss: 1.578110 eta: 4 days, 3:32:24 batch_cost: 2.2680 data_cost: 0.0014 ips: 24.6914 images/s [10/14 00:32:53] ppdet.engine INFO: Epoch: [5] [400/523] learning_rate: 0.399636 loss_vfl: 1.005676 loss_bbox: 0.349745 loss_dfl: 0.205057 loss: 1.566488 eta: 4 days, 3:31:27 batch_cost: 2.3175 data_cost: 0.0021 ips: 24.1640 images/s [10/14 00:33:41] ppdet.engine INFO: Epoch: [5] [420/523] learning_rate: 0.399631 loss_vfl: 0.998520 loss_bbox: 0.364596 loss_dfl: 0.214460 loss: 1.574252 eta: 4 days, 3:29:57 batch_cost: 2.2860 data_cost: 0.0012 ips: 24.4965 images/s [10/14 00:34:28] ppdet.engine INFO: Epoch: [5] [440/523] learning_rate: 0.399626 loss_vfl: 1.003115 loss_bbox: 0.380481 loss_dfl: 0.217477 loss: 1.607990 eta: 4 days, 3:27:58 batch_cost: 2.2558 data_cost: 0.0012 ips: 24.8254 images/s [10/14 00:35:17] ppdet.engine INFO: Epoch: [5] [460/523] learning_rate: 0.399621 loss_vfl: 0.995010 loss_bbox: 0.363287 loss_dfl: 0.211272 loss: 1.589313 eta: 4 days, 3:27:08 batch_cost: 2.3242 data_cost: 0.0013 ips: 24.0944 images/s [10/14 00:36:05] ppdet.engine INFO: Epoch: [5] [480/523] learning_rate: 0.399616 loss_vfl: 1.022637 loss_bbox: 0.334807 loss_dfl: 0.206950 loss: 1.580900 eta: 4 days, 3:26:23 batch_cost: 2.3286 data_cost: 0.0012 ips: 24.0484 images/s [10/14 00:36:54] ppdet.engine INFO: Epoch: [5] [500/523] learning_rate: 0.399611 loss_vfl: 1.006027 loss_bbox: 0.366920 loss_dfl: 0.212894 loss: 1.613781 eta: 4 days, 3:25:31 batch_cost: 2.3223 data_cost: 0.0013 ips: 24.1142 images/s [10/14 00:37:36] ppdet.engine INFO: Epoch: [5] [520/523] learning_rate: 0.399606 loss_vfl: 0.990607 loss_bbox: 0.380231 loss_dfl: 0.227318 loss: 1.605647 eta: 4 days, 3:19:16 batch_cost: 1.9929 data_cost: 0.0012 ips: 28.0999 images/s [10/14 00:38:02] ppdet.engine INFO: Epoch: [6] [ 0/523] learning_rate: 0.399605 loss_vfl: 0.981737 loss_bbox: 0.382645 loss_dfl: 0.228708 loss: 1.605647 eta: 4 days, 3:32:17 batch_cost: 2.8201 data_cost: 0.3242 ips: 19.8573 images/s [10/14 00:38:53] ppdet.engine INFO: Epoch: [6] [ 20/523] learning_rate: 0.399600 loss_vfl: 0.997103 loss_bbox: 0.368947 loss_dfl: 0.213691 loss: 1.588802 eta: 4 days, 3:33:36 batch_cost: 2.4597 data_cost: 0.0014 ips: 22.7667 images/s [10/14 00:39:42] ppdet.engine INFO: Epoch: [6] [ 40/523] learning_rate: 0.399595 loss_vfl: 0.996587 loss_bbox: 0.353555 loss_dfl: 0.208352 loss: 1.546579 eta: 4 days, 3:32:30 batch_cost: 2.3109 data_cost: 0.0028 ips: 24.2332 images/s [10/14 00:40:30] ppdet.engine INFO: Epoch: [6] [ 60/523] learning_rate: 0.399590 loss_vfl: 0.993480 loss_bbox: 0.361056 loss_dfl: 0.213622 loss: 1.574051 eta: 4 days, 3:30:44 batch_cost: 2.2694 data_cost: 0.0021 ips: 24.6766 images/s [10/14 00:41:20] ppdet.engine INFO: Epoch: [6] [ 80/523] learning_rate: 0.399585 loss_vfl: 1.003665 loss_bbox: 0.338683 loss_dfl: 0.199572 loss: 1.546914 eta: 4 days, 3:31:28 batch_cost: 2.4254 data_cost: 0.0014 ips: 23.0890 images/s [10/14 00:42:09] ppdet.engine INFO: Epoch: [6] [100/523] learning_rate: 0.399580 loss_vfl: 1.019536 loss_bbox: 0.357056 loss_dfl: 0.214440 loss: 1.579569 eta: 4 days, 3:30:50 batch_cost: 2.3410 data_cost: 0.0013 ips: 23.9217 images/s [10/14 00:42:57] ppdet.engine INFO: Epoch: [6] [120/523] learning_rate: 0.399575 loss_vfl: 1.015307 loss_bbox: 0.345682 loss_dfl: 0.212964 loss: 1.572738 eta: 4 days, 3:29:18 batch_cost: 2.2833 data_cost: 0.0012 ips: 24.5258 images/s [10/14 00:43:46] ppdet.engine INFO: Epoch: [6] [140/523] learning_rate: 0.399569 loss_vfl: 0.988890 loss_bbox: 0.354957 loss_dfl: 0.212423 loss: 1.579631 eta: 4 days, 3:28:34 batch_cost: 2.3343 data_cost: 0.0019 ips: 23.9900 images/s [10/14 00:44:34] ppdet.engine INFO: Epoch: [6] [160/523] learning_rate: 0.399564 loss_vfl: 0.969727 loss_bbox: 0.379351 loss_dfl: 0.216262 loss: 1.569426 eta: 4 days, 3:26:58 batch_cost: 2.2773 data_cost: 0.0013 ips: 24.5906 images/s [10/14 00:45:21] ppdet.engine INFO: Epoch: [6] [180/523] learning_rate: 0.399559 loss_vfl: 0.986899 loss_bbox: 0.346742 loss_dfl: 0.212190 loss: 1.574816 eta: 4 days, 3:24:50 batch_cost: 2.2430 data_cost: 0.0012 ips: 24.9664 images/s [10/14 00:46:08] ppdet.engine INFO: Epoch: [6] [200/523] learning_rate: 0.399553 loss_vfl: 0.982293 loss_bbox: 0.387509 loss_dfl: 0.217124 loss: 1.584238 eta: 4 days, 3:22:50 batch_cost: 2.2503 data_cost: 0.0013 ips: 24.8857 images/s [10/14 00:46:56] ppdet.engine INFO: Epoch: [6] [220/523] learning_rate: 0.399548 loss_vfl: 0.995770 loss_bbox: 0.361705 loss_dfl: 0.215800 loss: 1.563843 eta: 4 days, 3:20:51 batch_cost: 2.2512 data_cost: 0.0012 ips: 24.8760 images/s [10/14 00:47:44] ppdet.engine INFO: Epoch: [6] [240/523] learning_rate: 0.399543 loss_vfl: 1.020419 loss_bbox: 0.359334 loss_dfl: 0.210095 loss: 1.589919 eta: 4 days, 3:18:56 batch_cost: 2.2542 data_cost: 0.0012 ips: 24.8430 images/s [10/14 00:48:30] ppdet.engine INFO: Epoch: [6] [260/523] learning_rate: 0.399537 loss_vfl: 0.997872 loss_bbox: 0.361933 loss_dfl: 0.210761 loss: 1.568218 eta: 4 days, 3:16:28 batch_cost: 2.2160 data_cost: 0.0013 ips: 25.2708 images/s [10/14 00:49:18] ppdet.engine INFO: Epoch: [6] [280/523] learning_rate: 0.399532 loss_vfl: 0.990348 loss_bbox: 0.373624 loss_dfl: 0.214981 loss: 1.575273 eta: 4 days, 3:15:06 batch_cost: 2.2897 data_cost: 0.0012 ips: 24.4575 images/s [10/14 00:50:06] ppdet.engine INFO: Epoch: [6] [300/523] learning_rate: 0.399526 loss_vfl: 0.986016 loss_bbox: 0.382541 loss_dfl: 0.221299 loss: 1.602789 eta: 4 days, 3:13:51 batch_cost: 2.2954 data_cost: 0.0012 ips: 24.3962 images/s [10/14 00:50:53] ppdet.engine INFO: Epoch: [6] [320/523] learning_rate: 0.399521 loss_vfl: 0.995740 loss_bbox: 0.355661 loss_dfl: 0.219361 loss: 1.573821 eta: 4 days, 3:12:06 batch_cost: 2.2625 data_cost: 0.0012 ips: 24.7516 images/s [10/14 00:51:42] ppdet.engine INFO: Epoch: [6] [340/523] learning_rate: 0.399515 loss_vfl: 0.992674 loss_bbox: 0.367665 loss_dfl: 0.216719 loss: 1.590184 eta: 4 days, 3:10:45 batch_cost: 2.2883 data_cost: 0.0012 ips: 24.4719 images/s [10/14 00:52:28] ppdet.engine INFO: Epoch: [6] [360/523] learning_rate: 0.399510 loss_vfl: 1.006886 loss_bbox: 0.331184 loss_dfl: 0.198817 loss: 1.554518 eta: 4 days, 3:08:37 batch_cost: 2.2344 data_cost: 0.0064 ips: 25.0630 images/s [10/14 00:53:15] ppdet.engine INFO: Epoch: [6] [380/523] learning_rate: 0.399504 loss_vfl: 1.009579 loss_bbox: 0.350676 loss_dfl: 0.214078 loss: 1.563404 eta: 4 days, 3:06:05 batch_cost: 2.2055 data_cost: 0.0013 ips: 25.3906 images/s [10/14 00:54:03] ppdet.engine INFO: Epoch: [6] [400/523] learning_rate: 0.399498 loss_vfl: 1.004051 loss_bbox: 0.355286 loss_dfl: 0.218497 loss: 1.586129 eta: 4 days, 3:04:51 batch_cost: 2.2937 data_cost: 0.0012 ips: 24.4148 images/s [10/14 00:54:49] ppdet.engine INFO: Epoch: [6] [420/523] learning_rate: 0.399493 loss_vfl: 1.013629 loss_bbox: 0.349809 loss_dfl: 0.211543 loss: 1.582301 eta: 4 days, 3:02:23 batch_cost: 2.2085 data_cost: 0.0013 ips: 25.3562 images/s [10/14 00:55:37] ppdet.engine INFO: Epoch: [6] [440/523] learning_rate: 0.399487 loss_vfl: 0.998434 loss_bbox: 0.349550 loss_dfl: 0.211932 loss: 1.563899 eta: 4 days, 3:01:04 batch_cost: 2.2875 data_cost: 0.0012 ips: 24.4805 images/s [10/14 00:56:25] ppdet.engine INFO: Epoch: [6] [460/523] learning_rate: 0.399481 loss_vfl: 1.004160 loss_bbox: 0.339968 loss_dfl: 0.207298 loss: 1.560462 eta: 4 days, 2:59:33 batch_cost: 2.2718 data_cost: 0.0012 ips: 24.6501 images/s [10/14 00:57:13] ppdet.engine INFO: Epoch: [6] [480/523] learning_rate: 0.399475 loss_vfl: 0.998467 loss_bbox: 0.381806 loss_dfl: 0.220471 loss: 1.604897 eta: 4 days, 2:58:23 batch_cost: 2.2979 data_cost: 0.0012 ips: 24.3697 images/s [10/14 00:58:01] ppdet.engine INFO: Epoch: [6] [500/523] learning_rate: 0.399470 loss_vfl: 0.983429 loss_bbox: 0.365712 loss_dfl: 0.218488 loss: 1.572988 eta: 4 days, 2:56:52 batch_cost: 2.2709 data_cost: 0.0012 ips: 24.6601 images/s [10/14 00:58:43] ppdet.engine INFO: Epoch: [6] [520/523] learning_rate: 0.399464 loss_vfl: 0.984435 loss_bbox: 0.344970 loss_dfl: 0.208480 loss: 1.538814 eta: 4 days, 2:51:51 batch_cost: 2.0211 data_cost: 0.0011 ips: 27.7073 images/s [10/14 00:59:11] ppdet.engine INFO: Epoch: [7] [ 0/523] learning_rate: 0.399463 loss_vfl: 0.992776 loss_bbox: 0.353078 loss_dfl: 0.208480 loss: 1.544635 eta: 4 days, 3:04:22 batch_cost: 2.9245 data_cost: 0.4320 ips: 19.1485 images/s [10/14 01:00:01] ppdet.engine INFO: Epoch: [7] [ 20/523] learning_rate: 0.399457 loss_vfl: 0.978411 loss_bbox: 0.366086 loss_dfl: 0.207476 loss: 1.553138 eta: 4 days, 3:04:38 batch_cost: 2.4025 data_cost: 0.0013 ips: 23.3088 images/s [10/14 01:00:49] ppdet.engine INFO: Epoch: [7] [ 40/523] learning_rate: 0.399451 loss_vfl: 0.984224 loss_bbox: 0.362490 loss_dfl: 0.214092 loss: 1.544033 eta: 4 days, 3:03:12 batch_cost: 2.2813 data_cost: 0.0013 ips: 24.5479 images/s [10/14 01:01:37] ppdet.engine INFO: Epoch: [7] [ 60/523] learning_rate: 0.399445 loss_vfl: 0.975613 loss_bbox: 0.351731 loss_dfl: 0.210344 loss: 1.525758 eta: 4 days, 3:01:32 batch_cost: 2.2626 data_cost: 0.0013 ips: 24.7498 images/s [10/14 01:02:25] ppdet.engine INFO: Epoch: [7] [ 80/523] learning_rate: 0.399439 loss_vfl: 0.980832 loss_bbox: 0.357489 loss_dfl: 0.207048 loss: 1.539315 eta: 4 days, 2:59:47 batch_cost: 2.2556 data_cost: 0.0013 ips: 24.8268 images/s [10/14 01:03:14] ppdet.engine INFO: Epoch: [7] [100/523] learning_rate: 0.399433 loss_vfl: 0.981749 loss_bbox: 0.348379 loss_dfl: 0.206129 loss: 1.524831 eta: 4 days, 2:58:41 batch_cost: 2.3032 data_cost: 0.0014 ips: 24.3140 images/s [10/14 01:04:02] ppdet.engine INFO: Epoch: [7] [120/523] learning_rate: 0.399427 loss_vfl: 0.975184 loss_bbox: 0.360279 loss_dfl: 0.216928 loss: 1.544701 eta: 4 days, 2:57:21 batch_cost: 2.2847 data_cost: 0.0013 ips: 24.5107 images/s [10/14 01:04:49] ppdet.engine INFO: Epoch: [7] [140/523] learning_rate: 0.399421 loss_vfl: 0.976342 loss_bbox: 0.355493 loss_dfl: 0.217134 loss: 1.558975 eta: 4 days, 2:55:30 batch_cost: 2.2466 data_cost: 0.0014 ips: 24.9266 images/s [10/14 01:05:35] ppdet.engine INFO: Epoch: [7] [160/523] learning_rate: 0.399415 loss_vfl: 0.998428 loss_bbox: 0.353599 loss_dfl: 0.216852 loss: 1.552342 eta: 4 days, 2:52:57 batch_cost: 2.1935 data_cost: 0.0014 ips: 25.5299 images/s [10/14 01:06:24] ppdet.engine INFO: Epoch: [7] [180/523] learning_rate: 0.399409 loss_vfl: 0.987900 loss_bbox: 0.341837 loss_dfl: 0.208325 loss: 1.550454 eta: 4 days, 2:52:22 batch_cost: 2.3397 data_cost: 0.0013 ips: 23.9342 images/s [10/14 01:07:11] ppdet.engine INFO: Epoch: [7] [200/523] learning_rate: 0.399403 loss_vfl: 0.973742 loss_bbox: 0.362394 loss_dfl: 0.217503 loss: 1.552963 eta: 4 days, 2:50:14 batch_cost: 2.2234 data_cost: 0.0014 ips: 25.1872 images/s [10/14 01:07:58] ppdet.engine INFO: Epoch: [7] [220/523] learning_rate: 0.399396 loss_vfl: 0.966972 loss_bbox: 0.355418 loss_dfl: 0.213796 loss: 1.540402 eta: 4 days, 2:47:43 batch_cost: 2.1924 data_cost: 0.0012 ips: 25.5429 images/s [10/14 01:08:43] ppdet.engine INFO: Epoch: [7] [240/523] learning_rate: 0.399390 loss_vfl: 0.984444 loss_bbox: 0.358922 loss_dfl: 0.214250 loss: 1.545385 eta: 4 days, 2:45:00 batch_cost: 2.1757 data_cost: 0.0012 ips: 25.7386 images/s [10/14 01:09:31] ppdet.engine INFO: Epoch: [7] [260/523] learning_rate: 0.399384 loss_vfl: 1.003718 loss_bbox: 0.369343 loss_dfl: 0.221648 loss: 1.578070 eta: 4 days, 2:43:19 batch_cost: 2.2527 data_cost: 0.0013 ips: 24.8585 images/s [10/14 01:10:18] ppdet.engine INFO: Epoch: [7] [280/523] learning_rate: 0.399378 loss_vfl: 0.982516 loss_bbox: 0.369051 loss_dfl: 0.219692 loss: 1.569602 eta: 4 days, 2:41:41 batch_cost: 2.2574 data_cost: 0.0013 ips: 24.8075 images/s [10/14 01:11:05] ppdet.engine INFO: Epoch: [7] [300/523] learning_rate: 0.399371 loss_vfl: 0.990045 loss_bbox: 0.360072 loss_dfl: 0.212176 loss: 1.565531 eta: 4 days, 2:39:22 batch_cost: 2.2031 data_cost: 0.0013 ips: 25.4182 images/s [10/14 01:11:52] ppdet.engine INFO: Epoch: [7] [320/523] learning_rate: 0.399365 loss_vfl: 0.991907 loss_bbox: 0.360260 loss_dfl: 0.216196 loss: 1.578401 eta: 4 days, 2:37:21 batch_cost: 2.2244 data_cost: 0.0013 ips: 25.1751 images/s [10/14 01:12:40] ppdet.engine INFO: Epoch: [7] [340/523] learning_rate: 0.399359 loss_vfl: 0.971674 loss_bbox: 0.361156 loss_dfl: 0.222422 loss: 1.589902 eta: 4 days, 2:36:02 batch_cost: 2.2793 data_cost: 0.0013 ips: 24.5695 images/s [10/14 01:13:29] ppdet.engine INFO: Epoch: [7] [360/523] learning_rate: 0.399352 loss_vfl: 0.981676 loss_bbox: 0.361672 loss_dfl: 0.220435 loss: 1.566378 eta: 4 days, 2:35:33 batch_cost: 2.3442 data_cost: 0.0015 ips: 23.8887 images/s [10/14 01:14:17] ppdet.engine INFO: Epoch: [7] [380/523] learning_rate: 0.399346 loss_vfl: 0.989771 loss_bbox: 0.352782 loss_dfl: 0.214039 loss: 1.565289 eta: 4 days, 2:34:10 batch_cost: 2.2733 data_cost: 0.0013 ips: 24.6343 images/s [10/14 01:15:05] ppdet.engine INFO: Epoch: [7] [400/523] learning_rate: 0.399339 loss_vfl: 0.966667 loss_bbox: 0.360076 loss_dfl: 0.208856 loss: 1.530092 eta: 4 days, 2:32:51 batch_cost: 2.2791 data_cost: 0.0013 ips: 24.5712 images/s [10/14 01:15:54] ppdet.engine INFO: Epoch: [7] [420/523] learning_rate: 0.399333 loss_vfl: 0.999440 loss_bbox: 0.349349 loss_dfl: 0.206244 loss: 1.552483 eta: 4 days, 2:32:21 batch_cost: 2.3434 data_cost: 0.0019 ips: 23.8970 images/s [10/14 01:16:43] ppdet.engine INFO: Epoch: [7] [440/523] learning_rate: 0.399326 loss_vfl: 0.999614 loss_bbox: 0.345883 loss_dfl: 0.209395 loss: 1.541211 eta: 4 days, 2:31:56 batch_cost: 2.3489 data_cost: 0.0012 ips: 23.8411 images/s [10/14 01:17:31] ppdet.engine INFO: Epoch: [7] [460/523] learning_rate: 0.399320 loss_vfl: 0.966482 loss_bbox: 0.359878 loss_dfl: 0.211093 loss: 1.558518 eta: 4 days, 2:30:17 batch_cost: 2.2518 data_cost: 0.0013 ips: 24.8692 images/s [10/14 01:18:19] ppdet.engine INFO: Epoch: [7] [480/523] learning_rate: 0.399313 loss_vfl: 0.986344 loss_bbox: 0.341949 loss_dfl: 0.210214 loss: 1.554525 eta: 4 days, 2:28:47 batch_cost: 2.2611 data_cost: 0.0012 ips: 24.7669 images/s [10/14 01:19:07] ppdet.engine INFO: Epoch: [7] [500/523] learning_rate: 0.399306 loss_vfl: 0.990134 loss_bbox: 0.348772 loss_dfl: 0.215347 loss: 1.576068 eta: 4 days, 2:27:27 batch_cost: 2.2757 data_cost: 0.0013 ips: 24.6073 images/s [10/14 01:19:48] ppdet.engine INFO: Epoch: [7] [520/523] learning_rate: 0.399300 loss_vfl: 1.000207 loss_bbox: 0.347739 loss_dfl: 0.204761 loss: 1.567722 eta: 4 days, 2:22:11 batch_cost: 1.9514 data_cost: 0.0012 ips: 28.6970 images/s [10/14 01:20:15] ppdet.engine INFO: Epoch: [8] [ 0/523] learning_rate: 0.399299 loss_vfl: 1.001290 loss_bbox: 0.357438 loss_dfl: 0.208312 loss: 1.586704 eta: 4 days, 2:32:29 batch_cost: 2.8403 data_cost: 0.4894 ips: 19.7165 images/s [10/14 01:21:07] ppdet.engine INFO: Epoch: [8] [ 20/523] learning_rate: 0.399292 loss_vfl: 0.978320 loss_bbox: 0.353441 loss_dfl: 0.215369 loss: 1.539332 eta: 4 days, 2:33:28 batch_cost: 2.4688 data_cost: 0.0013 ips: 22.6828 images/s [10/14 01:21:56] ppdet.engine INFO: Epoch: [8] [ 40/523] learning_rate: 0.399285 loss_vfl: 1.006621 loss_bbox: 0.352780 loss_dfl: 0.206526 loss: 1.566160 eta: 4 days, 2:32:40 batch_cost: 2.3212 data_cost: 0.0014 ips: 24.1254 images/s [10/14 01:22:44] ppdet.engine INFO: Epoch: [8] [ 60/523] learning_rate: 0.399278 loss_vfl: 0.960873 loss_bbox: 0.350238 loss_dfl: 0.209742 loss: 1.515151 eta: 4 days, 2:31:26 batch_cost: 2.2854 data_cost: 0.0013 ips: 24.5034 images/s [10/14 01:23:32] ppdet.engine INFO: Epoch: [8] [ 80/523] learning_rate: 0.399272 loss_vfl: 0.976452 loss_bbox: 0.357010 loss_dfl: 0.209312 loss: 1.548577 eta: 4 days, 2:30:12 batch_cost: 2.2843 data_cost: 0.0013 ips: 24.5151 images/s [10/14 01:24:18] ppdet.engine INFO: Epoch: [8] [100/523] learning_rate: 0.399265 loss_vfl: 0.989429 loss_bbox: 0.354520 loss_dfl: 0.216844 loss: 1.568871 eta: 4 days, 2:27:49 batch_cost: 2.1886 data_cost: 0.0013 ips: 25.5877 images/s [10/14 01:25:06] ppdet.engine INFO: Epoch: [8] [120/523] learning_rate: 0.399258 loss_vfl: 0.983863 loss_bbox: 0.348966 loss_dfl: 0.208474 loss: 1.545325 eta: 4 days, 2:26:30 batch_cost: 2.2759 data_cost: 0.0012 ips: 24.6053 images/s [10/14 01:25:52] ppdet.engine INFO: Epoch: [8] [140/523] learning_rate: 0.399251 loss_vfl: 0.992395 loss_bbox: 0.349901 loss_dfl: 0.210280 loss: 1.539307 eta: 4 days, 2:24:04 batch_cost: 2.1822 data_cost: 0.0012 ips: 25.6620 images/s [10/14 01:26:39] ppdet.engine INFO: Epoch: [8] [160/523] learning_rate: 0.399244 loss_vfl: 1.002398 loss_bbox: 0.353505 loss_dfl: 0.209611 loss: 1.562669 eta: 4 days, 2:22:15 batch_cost: 2.2322 data_cost: 0.0014 ips: 25.0873 images/s [10/14 01:27:27] ppdet.engine INFO: Epoch: [8] [180/523] learning_rate: 0.399237 loss_vfl: 0.970481 loss_bbox: 0.360975 loss_dfl: 0.216660 loss: 1.539865 eta: 4 days, 2:21:02 batch_cost: 2.2837 data_cost: 0.0013 ips: 24.5214 images/s [10/14 01:28:15] ppdet.engine INFO: Epoch: [8] [200/523] learning_rate: 0.399230 loss_vfl: 0.969735 loss_bbox: 0.352177 loss_dfl: 0.212111 loss: 1.538092 eta: 4 days, 2:19:34 batch_cost: 2.2610 data_cost: 0.0013 ips: 24.7674 images/s [10/14 01:29:03] ppdet.engine INFO: Epoch: [8] [220/523] learning_rate: 0.399223 loss_vfl: 0.972701 loss_bbox: 0.358952 loss_dfl: 0.210277 loss: 1.551626 eta: 4 days, 2:18:23 batch_cost: 2.2856 data_cost: 0.0012 ips: 24.5010 images/s [10/14 01:29:50] ppdet.engine INFO: Epoch: [8] [240/523] learning_rate: 0.399216 loss_vfl: 0.987647 loss_bbox: 0.336539 loss_dfl: 0.203265 loss: 1.520435 eta: 4 days, 2:16:47 batch_cost: 2.2481 data_cost: 0.0013 ips: 24.9096 images/s [10/14 01:30:38] ppdet.engine INFO: Epoch: [8] [260/523] learning_rate: 0.399209 loss_vfl: 0.980261 loss_bbox: 0.351640 loss_dfl: 0.211979 loss: 1.538812 eta: 4 days, 2:16:03 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0980 images/s [10/14 01:31:25] ppdet.engine INFO: Epoch: [8] [280/523] learning_rate: 0.399202 loss_vfl: 0.983420 loss_bbox: 0.350928 loss_dfl: 0.209029 loss: 1.561178 eta: 4 days, 2:14:09 batch_cost: 2.2222 data_cost: 0.0012 ips: 25.2006 images/s [10/14 01:32:12] ppdet.engine INFO: Epoch: [8] [300/523] learning_rate: 0.399194 loss_vfl: 0.966407 loss_bbox: 0.329501 loss_dfl: 0.205989 loss: 1.533696 eta: 4 days, 2:12:15 batch_cost: 2.2212 data_cost: 0.0012 ips: 25.2118 images/s [10/14 01:32:58] ppdet.engine INFO: Epoch: [8] [320/523] learning_rate: 0.399187 loss_vfl: 0.994479 loss_bbox: 0.328065 loss_dfl: 0.203609 loss: 1.518498 eta: 4 days, 2:10:07 batch_cost: 2.1984 data_cost: 0.0012 ips: 25.4727 images/s [10/14 01:33:46] ppdet.engine INFO: Epoch: [8] [340/523] learning_rate: 0.399180 loss_vfl: 0.961922 loss_bbox: 0.346539 loss_dfl: 0.212704 loss: 1.525569 eta: 4 days, 2:08:51 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6116 images/s [10/14 01:34:34] ppdet.engine INFO: Epoch: [8] [360/523] learning_rate: 0.399173 loss_vfl: 0.980350 loss_bbox: 0.350516 loss_dfl: 0.212176 loss: 1.537071 eta: 4 days, 2:07:39 batch_cost: 2.2797 data_cost: 0.0013 ips: 24.5649 images/s [10/14 01:35:22] ppdet.engine INFO: Epoch: [8] [380/523] learning_rate: 0.399165 loss_vfl: 0.968201 loss_bbox: 0.349722 loss_dfl: 0.209565 loss: 1.544116 eta: 4 days, 2:06:31 batch_cost: 2.2864 data_cost: 0.0012 ips: 24.4932 images/s [10/14 01:36:10] ppdet.engine INFO: Epoch: [8] [400/523] learning_rate: 0.399158 loss_vfl: 0.964359 loss_bbox: 0.335467 loss_dfl: 0.206587 loss: 1.517360 eta: 4 days, 2:05:06 batch_cost: 2.2608 data_cost: 0.0013 ips: 24.7698 images/s [10/14 01:36:59] ppdet.engine INFO: Epoch: [8] [420/523] learning_rate: 0.399151 loss_vfl: 0.982354 loss_bbox: 0.344320 loss_dfl: 0.196413 loss: 1.530817 eta: 4 days, 2:04:28 batch_cost: 2.3304 data_cost: 0.0012 ips: 24.0300 images/s [10/14 01:37:47] ppdet.engine INFO: Epoch: [8] [440/523] learning_rate: 0.399143 loss_vfl: 0.965530 loss_bbox: 0.362310 loss_dfl: 0.221126 loss: 1.555346 eta: 4 days, 2:03:30 batch_cost: 2.3004 data_cost: 0.0022 ips: 24.3434 images/s [10/14 01:38:35] ppdet.engine INFO: Epoch: [8] [460/523] learning_rate: 0.399136 loss_vfl: 0.986278 loss_bbox: 0.356420 loss_dfl: 0.209958 loss: 1.568476 eta: 4 days, 2:01:57 batch_cost: 2.2479 data_cost: 0.0013 ips: 24.9126 images/s [10/14 01:39:23] ppdet.engine INFO: Epoch: [8] [480/523] learning_rate: 0.399129 loss_vfl: 0.979077 loss_bbox: 0.378914 loss_dfl: 0.227723 loss: 1.553695 eta: 4 days, 2:00:58 batch_cost: 2.2982 data_cost: 0.0013 ips: 24.3669 images/s [10/14 01:40:11] ppdet.engine INFO: Epoch: [8] [500/523] learning_rate: 0.399121 loss_vfl: 1.007931 loss_bbox: 0.342318 loss_dfl: 0.205798 loss: 1.576697 eta: 4 days, 1:59:38 batch_cost: 2.2667 data_cost: 0.0012 ips: 24.7050 images/s [10/14 01:40:53] ppdet.engine INFO: Epoch: [8] [520/523] learning_rate: 0.399114 loss_vfl: 0.990740 loss_bbox: 0.342402 loss_dfl: 0.206857 loss: 1.554282 eta: 4 days, 1:55:47 batch_cost: 2.0309 data_cost: 0.0018 ips: 27.5742 images/s [10/14 01:41:23] ppdet.engine INFO: Epoch: [9] [ 0/523] learning_rate: 0.399112 loss_vfl: 0.987583 loss_bbox: 0.344710 loss_dfl: 0.207934 loss: 1.551349 eta: 4 days, 2:06:00 batch_cost: 2.9941 data_cost: 0.5516 ips: 18.7032 images/s [10/14 01:42:13] ppdet.engine INFO: Epoch: [9] [ 20/523] learning_rate: 0.399105 loss_vfl: 0.961122 loss_bbox: 0.365032 loss_dfl: 0.214736 loss: 1.555507 eta: 4 days, 2:05:45 batch_cost: 2.3689 data_cost: 0.0024 ips: 23.6396 images/s [10/14 01:43:02] ppdet.engine INFO: Epoch: [9] [ 40/523] learning_rate: 0.399097 loss_vfl: 0.962446 loss_bbox: 0.354636 loss_dfl: 0.204534 loss: 1.510804 eta: 4 days, 2:05:04 batch_cost: 2.3285 data_cost: 0.0014 ips: 24.0500 images/s [10/14 01:43:50] ppdet.engine INFO: Epoch: [9] [ 60/523] learning_rate: 0.399090 loss_vfl: 0.976503 loss_bbox: 0.344705 loss_dfl: 0.208881 loss: 1.512955 eta: 4 days, 2:03:55 batch_cost: 2.2862 data_cost: 0.0013 ips: 24.4952 images/s [10/14 01:44:37] ppdet.engine INFO: Epoch: [9] [ 80/523] learning_rate: 0.399082 loss_vfl: 0.971042 loss_bbox: 0.336055 loss_dfl: 0.204396 loss: 1.529259 eta: 4 days, 2:02:48 batch_cost: 2.2873 data_cost: 0.0014 ips: 24.4828 images/s [10/14 01:45:26] ppdet.engine INFO: Epoch: [9] [100/523] learning_rate: 0.399074 loss_vfl: 0.963318 loss_bbox: 0.359085 loss_dfl: 0.216589 loss: 1.538813 eta: 4 days, 2:01:57 batch_cost: 2.3128 data_cost: 0.0023 ips: 24.2133 images/s [10/14 01:46:14] ppdet.engine INFO: Epoch: [9] [120/523] learning_rate: 0.399067 loss_vfl: 0.990645 loss_bbox: 0.328671 loss_dfl: 0.204301 loss: 1.512396 eta: 4 days, 2:00:57 batch_cost: 2.2995 data_cost: 0.0013 ips: 24.3536 images/s [10/14 01:47:02] ppdet.engine INFO: Epoch: [9] [140/523] learning_rate: 0.399059 loss_vfl: 0.967067 loss_bbox: 0.337552 loss_dfl: 0.205432 loss: 1.510663 eta: 4 days, 1:59:46 batch_cost: 2.2820 data_cost: 0.0012 ips: 24.5399 images/s [10/14 01:47:50] ppdet.engine INFO: Epoch: [9] [160/523] learning_rate: 0.399051 loss_vfl: 0.959487 loss_bbox: 0.358087 loss_dfl: 0.211254 loss: 1.521944 eta: 4 days, 1:58:48 batch_cost: 2.3012 data_cost: 0.0013 ips: 24.3352 images/s [10/14 01:48:37] ppdet.engine INFO: Epoch: [9] [180/523] learning_rate: 0.399043 loss_vfl: 0.962812 loss_bbox: 0.343187 loss_dfl: 0.208597 loss: 1.532626 eta: 4 days, 1:56:59 batch_cost: 2.2193 data_cost: 0.0014 ips: 25.2336 images/s [10/14 01:49:25] ppdet.engine INFO: Epoch: [9] [200/523] learning_rate: 0.399035 loss_vfl: 0.970659 loss_bbox: 0.346223 loss_dfl: 0.213695 loss: 1.537279 eta: 4 days, 1:56:00 batch_cost: 2.2997 data_cost: 0.0013 ips: 24.3514 images/s [10/14 01:50:15] ppdet.engine INFO: Epoch: [9] [220/523] learning_rate: 0.399028 loss_vfl: 0.991000 loss_bbox: 0.335317 loss_dfl: 0.210121 loss: 1.509851 eta: 4 days, 1:55:49 batch_cost: 2.3768 data_cost: 0.0013 ips: 23.5609 images/s [10/14 01:51:05] ppdet.engine INFO: Epoch: [9] [240/523] learning_rate: 0.399020 loss_vfl: 0.972231 loss_bbox: 0.324531 loss_dfl: 0.204544 loss: 1.512592 eta: 4 days, 1:55:43 batch_cost: 2.3844 data_cost: 0.0013 ips: 23.4857 images/s [10/14 01:51:54] ppdet.engine INFO: Epoch: [9] [260/523] learning_rate: 0.399012 loss_vfl: 0.956435 loss_bbox: 0.365596 loss_dfl: 0.221750 loss: 1.552478 eta: 4 days, 1:54:52 batch_cost: 2.3133 data_cost: 0.0012 ips: 24.2079 images/s [10/14 01:52:41] ppdet.engine INFO: Epoch: [9] [280/523] learning_rate: 0.399004 loss_vfl: 0.978250 loss_bbox: 0.333712 loss_dfl: 0.205286 loss: 1.523278 eta: 4 days, 1:53:45 batch_cost: 2.2857 data_cost: 0.0013 ips: 24.5007 images/s [10/14 01:53:29] ppdet.engine INFO: Epoch: [9] [300/523] learning_rate: 0.398996 loss_vfl: 0.966568 loss_bbox: 0.354181 loss_dfl: 0.217772 loss: 1.548897 eta: 4 days, 1:52:15 batch_cost: 2.2479 data_cost: 0.0014 ips: 24.9125 images/s [10/14 01:54:17] ppdet.engine INFO: Epoch: [9] [320/523] learning_rate: 0.398988 loss_vfl: 0.950476 loss_bbox: 0.341060 loss_dfl: 0.206450 loss: 1.543550 eta: 4 days, 1:50:53 batch_cost: 2.2617 data_cost: 0.0070 ips: 24.7605 images/s [10/14 01:55:05] ppdet.engine INFO: Epoch: [9] [340/523] learning_rate: 0.398980 loss_vfl: 0.975564 loss_bbox: 0.330344 loss_dfl: 0.210270 loss: 1.535876 eta: 4 days, 1:49:47 batch_cost: 2.2874 data_cost: 0.0013 ips: 24.4823 images/s [10/14 01:55:52] ppdet.engine INFO: Epoch: [9] [360/523] learning_rate: 0.398972 loss_vfl: 0.974380 loss_bbox: 0.350688 loss_dfl: 0.207631 loss: 1.548460 eta: 4 days, 1:48:31 batch_cost: 2.2684 data_cost: 0.0012 ips: 24.6865 images/s [10/14 01:56:40] ppdet.engine INFO: Epoch: [9] [380/523] learning_rate: 0.398963 loss_vfl: 0.981047 loss_bbox: 0.346894 loss_dfl: 0.213069 loss: 1.545577 eta: 4 days, 1:47:23 batch_cost: 2.2843 data_cost: 0.0013 ips: 24.5151 images/s [10/14 01:57:28] ppdet.engine INFO: Epoch: [9] [400/523] learning_rate: 0.398955 loss_vfl: 0.958491 loss_bbox: 0.357831 loss_dfl: 0.214027 loss: 1.524457 eta: 4 days, 1:46:04 batch_cost: 2.2635 data_cost: 0.0013 ips: 24.7408 images/s [10/14 01:58:16] ppdet.engine INFO: Epoch: [9] [420/523] learning_rate: 0.398947 loss_vfl: 0.965140 loss_bbox: 0.356953 loss_dfl: 0.211858 loss: 1.539536 eta: 4 days, 1:45:22 batch_cost: 2.3255 data_cost: 0.0013 ips: 24.0809 images/s [10/14 01:59:05] ppdet.engine INFO: Epoch: [9] [440/523] learning_rate: 0.398939 loss_vfl: 0.964502 loss_bbox: 0.346817 loss_dfl: 0.208903 loss: 1.515897 eta: 4 days, 1:44:33 batch_cost: 2.3153 data_cost: 0.0013 ips: 24.1868 images/s [10/14 01:59:52] ppdet.engine INFO: Epoch: [9] [460/523] learning_rate: 0.398931 loss_vfl: 0.987553 loss_bbox: 0.337477 loss_dfl: 0.208334 loss: 1.533551 eta: 4 days, 1:42:58 batch_cost: 2.2360 data_cost: 0.0012 ips: 25.0448 images/s [10/14 02:00:40] ppdet.engine INFO: Epoch: [9] [480/523] learning_rate: 0.398922 loss_vfl: 0.985544 loss_bbox: 0.341438 loss_dfl: 0.213481 loss: 1.534427 eta: 4 days, 1:42:15 batch_cost: 2.3233 data_cost: 0.0052 ips: 24.1034 images/s [10/14 02:01:28] ppdet.engine INFO: Epoch: [9] [500/523] learning_rate: 0.398914 loss_vfl: 0.973606 loss_bbox: 0.357697 loss_dfl: 0.206220 loss: 1.506955 eta: 4 days, 1:41:19 batch_cost: 2.3016 data_cost: 0.0025 ips: 24.3314 images/s [10/14 02:02:10] ppdet.engine INFO: Epoch: [9] [520/523] learning_rate: 0.398906 loss_vfl: 0.974979 loss_bbox: 0.360148 loss_dfl: 0.213230 loss: 1.547475 eta: 4 days, 1:37:24 batch_cost: 1.9940 data_cost: 0.0012 ips: 28.0847 images/s [10/14 02:02:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco loading annotations into memory... Done (t=1.41s) creating index... index created! loading annotations into memory... Done (t=1.38s) creating index... index created! [10/14 02:02:29] ppdet.engine INFO: Eval iter: 0 [10/14 02:03:02] ppdet.engine INFO: Eval iter: 100 [10/14 02:03:23] ppdet.engine INFO: Eval iter: 200 [10/14 02:03:45] ppdet.engine INFO: Eval iter: 300 [10/14 02:04:06] ppdet.engine INFO: Eval iter: 400 [10/14 02:04:28] ppdet.engine INFO: Eval iter: 500 [10/14 02:04:49] ppdet.engine INFO: Eval iter: 600 [10/14 02:05:09] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.01s) creating index... index created! [10/14 02:05:10] 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=99.27s). Accumulating evaluation results... DONE (t=18.61s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.256 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.396 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.087 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.268 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.421 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.249 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.423 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.649 [10/14 02:07:16] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.735548280951896 [10/14 02:07:16] ppdet.engine INFO: Best test bbox ap is 0.256. [10/14 02:07:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 02:07:18] ppdet.engine INFO: Epoch: [10] [ 0/523] learning_rate: 0.398904 loss_vfl: 0.962101 loss_bbox: 0.360148 loss_dfl: 0.216089 loss: 1.541414 eta: 4 days, 1:36:38 batch_cost: 1.9279 data_cost: 0.0012 ips: 29.0470 images/s [10/14 02:08:08] ppdet.engine INFO: Epoch: [10] [ 20/523] learning_rate: 0.398896 loss_vfl: 0.962379 loss_bbox: 0.344758 loss_dfl: 0.203372 loss: 1.521523 eta: 4 days, 1:36:28 batch_cost: 2.3803 data_cost: 0.0020 ips: 23.5268 images/s [10/14 02:08:56] ppdet.engine INFO: Epoch: [10] [ 40/523] learning_rate: 0.398888 loss_vfl: 0.960461 loss_bbox: 0.333363 loss_dfl: 0.202610 loss: 1.504235 eta: 4 days, 1:35:42 batch_cost: 2.3175 data_cost: 0.0017 ips: 24.1635 images/s [10/14 02:09:44] ppdet.engine INFO: Epoch: [10] [ 60/523] learning_rate: 0.398879 loss_vfl: 0.945185 loss_bbox: 0.353613 loss_dfl: 0.208510 loss: 1.506519 eta: 4 days, 1:34:35 batch_cost: 2.2810 data_cost: 0.0012 ips: 24.5505 images/s [10/14 02:10:33] ppdet.engine INFO: Epoch: [10] [ 80/523] learning_rate: 0.398871 loss_vfl: 0.961126 loss_bbox: 0.359894 loss_dfl: 0.215278 loss: 1.543410 eta: 4 days, 1:33:32 batch_cost: 2.2877 data_cost: 0.0012 ips: 24.4783 images/s [10/14 02:11:21] ppdet.engine INFO: Epoch: [10] [100/523] learning_rate: 0.398862 loss_vfl: 0.973260 loss_bbox: 0.332216 loss_dfl: 0.201804 loss: 1.533103 eta: 4 days, 1:32:33 batch_cost: 2.2945 data_cost: 0.0012 ips: 24.4062 images/s [10/14 02:12:08] ppdet.engine INFO: Epoch: [10] [120/523] learning_rate: 0.398854 loss_vfl: 0.952654 loss_bbox: 0.365023 loss_dfl: 0.214400 loss: 1.526652 eta: 4 days, 1:31:27 batch_cost: 2.2831 data_cost: 0.0012 ips: 24.5286 images/s [10/14 02:12:57] ppdet.engine INFO: Epoch: [10] [140/523] learning_rate: 0.398845 loss_vfl: 0.964386 loss_bbox: 0.353866 loss_dfl: 0.206123 loss: 1.525931 eta: 4 days, 1:30:35 batch_cost: 2.3061 data_cost: 0.0012 ips: 24.2833 images/s [10/14 02:13:45] ppdet.engine INFO: Epoch: [10] [160/523] learning_rate: 0.398836 loss_vfl: 0.979579 loss_bbox: 0.339412 loss_dfl: 0.208297 loss: 1.531002 eta: 4 days, 1:29:58 batch_cost: 2.3332 data_cost: 0.0012 ips: 24.0012 images/s [10/14 02:14:32] ppdet.engine INFO: Epoch: [10] [180/523] learning_rate: 0.398828 loss_vfl: 0.982991 loss_bbox: 0.335265 loss_dfl: 0.203668 loss: 1.535257 eta: 4 days, 1:28:33 batch_cost: 2.2466 data_cost: 0.0012 ips: 24.9269 images/s [10/14 02:15:20] ppdet.engine INFO: Epoch: [10] [200/523] learning_rate: 0.398819 loss_vfl: 0.982524 loss_bbox: 0.345967 loss_dfl: 0.205118 loss: 1.528688 eta: 4 days, 1:27:40 batch_cost: 2.3046 data_cost: 0.0012 ips: 24.2992 images/s [10/14 02:16:10] ppdet.engine INFO: Epoch: [10] [220/523] learning_rate: 0.398810 loss_vfl: 0.940581 loss_bbox: 0.364682 loss_dfl: 0.214261 loss: 1.550457 eta: 4 days, 1:27:22 batch_cost: 2.3675 data_cost: 0.0012 ips: 23.6536 images/s [10/14 02:16:57] ppdet.engine INFO: Epoch: [10] [240/523] learning_rate: 0.398802 loss_vfl: 0.978311 loss_bbox: 0.335101 loss_dfl: 0.210670 loss: 1.511665 eta: 4 days, 1:26:07 batch_cost: 2.2660 data_cost: 0.0012 ips: 24.7128 images/s [10/14 02:17:45] ppdet.engine INFO: Epoch: [10] [260/523] learning_rate: 0.398793 loss_vfl: 0.969074 loss_bbox: 0.358071 loss_dfl: 0.207444 loss: 1.506535 eta: 4 days, 1:24:59 batch_cost: 2.2755 data_cost: 0.0012 ips: 24.6104 images/s [10/14 02:18:32] ppdet.engine INFO: Epoch: [10] [280/523] learning_rate: 0.398784 loss_vfl: 0.951470 loss_bbox: 0.351757 loss_dfl: 0.215631 loss: 1.522073 eta: 4 days, 1:23:08 batch_cost: 2.2001 data_cost: 0.0012 ips: 25.4530 images/s [10/14 02:19:20] ppdet.engine INFO: Epoch: [10] [300/523] learning_rate: 0.398775 loss_vfl: 0.978669 loss_bbox: 0.341378 loss_dfl: 0.206433 loss: 1.518345 eta: 4 days, 1:22:26 batch_cost: 2.3232 data_cost: 0.0012 ips: 24.1043 images/s [10/14 02:20:08] ppdet.engine INFO: Epoch: [10] [320/523] learning_rate: 0.398766 loss_vfl: 0.953849 loss_bbox: 0.341092 loss_dfl: 0.205055 loss: 1.504257 eta: 4 days, 1:21:28 batch_cost: 2.2936 data_cost: 0.0012 ips: 24.4158 images/s [10/14 02:20:58] ppdet.engine INFO: Epoch: [10] [340/523] learning_rate: 0.398757 loss_vfl: 0.974389 loss_bbox: 0.340327 loss_dfl: 0.207149 loss: 1.531589 eta: 4 days, 1:21:14 batch_cost: 2.3757 data_cost: 0.0012 ips: 23.5716 images/s [10/14 02:21:46] ppdet.engine INFO: Epoch: [10] [360/523] learning_rate: 0.398749 loss_vfl: 0.965121 loss_bbox: 0.338098 loss_dfl: 0.210698 loss: 1.531601 eta: 4 days, 1:20:11 batch_cost: 2.2848 data_cost: 0.0011 ips: 24.5101 images/s [10/14 02:22:35] ppdet.engine INFO: Epoch: [10] [380/523] learning_rate: 0.398740 loss_vfl: 0.964954 loss_bbox: 0.358013 loss_dfl: 0.211749 loss: 1.528952 eta: 4 days, 1:19:37 batch_cost: 2.3395 data_cost: 0.0012 ips: 23.9363 images/s [10/14 02:23:24] ppdet.engine INFO: Epoch: [10] [400/523] learning_rate: 0.398731 loss_vfl: 0.968488 loss_bbox: 0.339726 loss_dfl: 0.207429 loss: 1.526124 eta: 4 days, 1:19:12 batch_cost: 2.3559 data_cost: 0.0012 ips: 23.7699 images/s [10/14 02:24:11] ppdet.engine INFO: Epoch: [10] [420/523] learning_rate: 0.398722 loss_vfl: 0.983439 loss_bbox: 0.327357 loss_dfl: 0.200157 loss: 1.525553 eta: 4 days, 1:17:47 batch_cost: 2.2438 data_cost: 0.0012 ips: 24.9574 images/s [10/14 02:25:02] ppdet.engine INFO: Epoch: [10] [440/523] learning_rate: 0.398712 loss_vfl: 0.982464 loss_bbox: 0.342724 loss_dfl: 0.208918 loss: 1.546621 eta: 4 days, 1:17:57 batch_cost: 2.4209 data_cost: 0.0012 ips: 23.1322 images/s [10/14 02:25:52] ppdet.engine INFO: Epoch: [10] [460/523] learning_rate: 0.398703 loss_vfl: 0.963822 loss_bbox: 0.332111 loss_dfl: 0.203924 loss: 1.497274 eta: 4 days, 1:17:42 batch_cost: 2.3755 data_cost: 0.0021 ips: 23.5739 images/s [10/14 02:26:38] ppdet.engine INFO: Epoch: [10] [480/523] learning_rate: 0.398694 loss_vfl: 0.968120 loss_bbox: 0.345858 loss_dfl: 0.205665 loss: 1.542245 eta: 4 days, 1:16:12 batch_cost: 2.2340 data_cost: 0.0012 ips: 25.0671 images/s [10/14 02:27:26] ppdet.engine INFO: Epoch: [10] [500/523] learning_rate: 0.398685 loss_vfl: 0.967289 loss_bbox: 0.347243 loss_dfl: 0.208403 loss: 1.531425 eta: 4 days, 1:14:56 batch_cost: 2.2597 data_cost: 0.0012 ips: 24.7822 images/s [10/14 02:28:07] ppdet.engine INFO: Epoch: [10] [520/523] learning_rate: 0.398676 loss_vfl: 0.964481 loss_bbox: 0.353515 loss_dfl: 0.211201 loss: 1.524922 eta: 4 days, 1:10:53 batch_cost: 1.9415 data_cost: 0.0012 ips: 28.8431 images/s [10/14 02:28:33] ppdet.engine INFO: Epoch: [11] [ 0/523] learning_rate: 0.398675 loss_vfl: 0.965756 loss_bbox: 0.348544 loss_dfl: 0.210262 loss: 1.524922 eta: 4 days, 1:17:41 batch_cost: 2.7353 data_cost: 0.4399 ips: 20.4729 images/s [10/14 02:29:23] ppdet.engine INFO: Epoch: [11] [ 20/523] learning_rate: 0.398665 loss_vfl: 0.954955 loss_bbox: 0.359228 loss_dfl: 0.214182 loss: 1.534569 eta: 4 days, 1:17:44 batch_cost: 2.4122 data_cost: 0.0012 ips: 23.2156 images/s [10/14 02:30:11] ppdet.engine INFO: Epoch: [11] [ 40/523] learning_rate: 0.398656 loss_vfl: 0.964019 loss_bbox: 0.358884 loss_dfl: 0.209881 loss: 1.503732 eta: 4 days, 1:16:09 batch_cost: 2.2241 data_cost: 0.0012 ips: 25.1786 images/s [10/14 02:30:58] ppdet.engine INFO: Epoch: [11] [ 60/523] learning_rate: 0.398647 loss_vfl: 0.954510 loss_bbox: 0.325868 loss_dfl: 0.201070 loss: 1.506317 eta: 4 days, 1:14:32 batch_cost: 2.2197 data_cost: 0.0019 ips: 25.2289 images/s [10/14 02:31:47] ppdet.engine INFO: Epoch: [11] [ 80/523] learning_rate: 0.398637 loss_vfl: 0.967306 loss_bbox: 0.346002 loss_dfl: 0.205609 loss: 1.516438 eta: 4 days, 1:14:04 batch_cost: 2.3525 data_cost: 0.0014 ips: 23.8041 images/s [10/14 02:32:36] ppdet.engine INFO: Epoch: [11] [100/523] learning_rate: 0.398628 loss_vfl: 0.965002 loss_bbox: 0.334140 loss_dfl: 0.205638 loss: 1.491149 eta: 4 days, 1:13:26 batch_cost: 2.3344 data_cost: 0.0012 ips: 23.9892 images/s [10/14 02:33:24] ppdet.engine INFO: Epoch: [11] [120/523] learning_rate: 0.398619 loss_vfl: 0.944232 loss_bbox: 0.368322 loss_dfl: 0.215569 loss: 1.530011 eta: 4 days, 1:12:25 batch_cost: 2.2883 data_cost: 0.0013 ips: 24.4726 images/s [10/14 02:34:11] ppdet.engine INFO: Epoch: [11] [140/523] learning_rate: 0.398609 loss_vfl: 0.973466 loss_bbox: 0.353082 loss_dfl: 0.207241 loss: 1.520289 eta: 4 days, 1:10:58 batch_cost: 2.2386 data_cost: 0.0012 ips: 25.0154 images/s [10/14 02:34:59] ppdet.engine INFO: Epoch: [11] [160/523] learning_rate: 0.398600 loss_vfl: 0.949739 loss_bbox: 0.365536 loss_dfl: 0.211443 loss: 1.536126 eta: 4 days, 1:09:29 batch_cost: 2.2323 data_cost: 0.0013 ips: 25.0867 images/s [10/14 02:35:47] ppdet.engine INFO: Epoch: [11] [180/523] learning_rate: 0.398590 loss_vfl: 0.977697 loss_bbox: 0.334350 loss_dfl: 0.209165 loss: 1.529934 eta: 4 days, 1:08:38 batch_cost: 2.3071 data_cost: 0.0012 ips: 24.2731 images/s [10/14 02:36:34] ppdet.engine INFO: Epoch: [11] [200/523] learning_rate: 0.398581 loss_vfl: 0.965884 loss_bbox: 0.345269 loss_dfl: 0.208068 loss: 1.517431 eta: 4 days, 1:06:51 batch_cost: 2.1973 data_cost: 0.0012 ips: 25.4861 images/s [10/14 02:37:21] ppdet.engine INFO: Epoch: [11] [220/523] learning_rate: 0.398571 loss_vfl: 0.994500 loss_bbox: 0.327918 loss_dfl: 0.203711 loss: 1.529960 eta: 4 days, 1:05:23 batch_cost: 2.2330 data_cost: 0.0026 ips: 25.0784 images/s [10/14 02:38:09] ppdet.engine INFO: Epoch: [11] [240/523] learning_rate: 0.398562 loss_vfl: 0.967972 loss_bbox: 0.348548 loss_dfl: 0.219464 loss: 1.503871 eta: 4 days, 1:04:26 batch_cost: 2.2951 data_cost: 0.0013 ips: 24.4003 images/s [10/14 02:38:54] ppdet.engine INFO: Epoch: [11] [260/523] learning_rate: 0.398552 loss_vfl: 0.951335 loss_bbox: 0.350240 loss_dfl: 0.210117 loss: 1.530763 eta: 4 days, 1:02:31 batch_cost: 2.1784 data_cost: 0.0013 ips: 25.7065 images/s [10/14 02:39:43] ppdet.engine INFO: Epoch: [11] [280/523] learning_rate: 0.398543 loss_vfl: 0.949492 loss_bbox: 0.352358 loss_dfl: 0.216499 loss: 1.528186 eta: 4 days, 1:01:40 batch_cost: 2.3067 data_cost: 0.0013 ips: 24.2772 images/s [10/14 02:40:30] ppdet.engine INFO: Epoch: [11] [300/523] learning_rate: 0.398533 loss_vfl: 0.971789 loss_bbox: 0.344083 loss_dfl: 0.206711 loss: 1.530806 eta: 4 days, 1:00:39 batch_cost: 2.2856 data_cost: 0.0012 ips: 24.5017 images/s [10/14 02:41:19] ppdet.engine INFO: Epoch: [11] [320/523] learning_rate: 0.398523 loss_vfl: 0.937644 loss_bbox: 0.337525 loss_dfl: 0.203023 loss: 1.489781 eta: 4 days, 0:59:51 batch_cost: 2.3121 data_cost: 0.0021 ips: 24.2202 images/s [10/14 02:42:06] ppdet.engine INFO: Epoch: [11] [340/523] learning_rate: 0.398513 loss_vfl: 0.966272 loss_bbox: 0.339466 loss_dfl: 0.199718 loss: 1.525894 eta: 4 days, 0:58:31 batch_cost: 2.2466 data_cost: 0.0013 ips: 24.9262 images/s [10/14 02:42:52] ppdet.engine INFO: Epoch: [11] [360/523] learning_rate: 0.398504 loss_vfl: 0.963946 loss_bbox: 0.343079 loss_dfl: 0.211883 loss: 1.533341 eta: 4 days, 0:56:55 batch_cost: 2.2137 data_cost: 0.0016 ips: 25.2969 images/s [10/14 02:43:39] ppdet.engine INFO: Epoch: [11] 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loss_bbox: 0.345656 loss_dfl: 0.208142 loss: 1.519456 eta: 4 days, 0:50:56 batch_cost: 2.2729 data_cost: 0.0013 ips: 24.6386 images/s [10/14 02:47:38] ppdet.engine INFO: Epoch: [11] [480/523] learning_rate: 0.398444 loss_vfl: 0.967408 loss_bbox: 0.336990 loss_dfl: 0.204580 loss: 1.524015 eta: 4 days, 0:49:58 batch_cost: 2.2903 data_cost: 0.0012 ips: 24.4508 images/s [10/14 02:48:25] ppdet.engine INFO: Epoch: [11] [500/523] learning_rate: 0.398434 loss_vfl: 0.954621 loss_bbox: 0.357471 loss_dfl: 0.215147 loss: 1.519109 eta: 4 days, 0:48:23 batch_cost: 2.2126 data_cost: 0.0012 ips: 25.3100 images/s [10/14 02:49:08] ppdet.engine INFO: Epoch: [11] [520/523] learning_rate: 0.398424 loss_vfl: 0.963736 loss_bbox: 0.354386 loss_dfl: 0.208286 loss: 1.543460 eta: 4 days, 0:45:37 batch_cost: 2.0640 data_cost: 0.0013 ips: 27.1319 images/s [10/14 02:49:38] ppdet.engine INFO: Epoch: [12] [ 0/523] learning_rate: 0.398423 loss_vfl: 0.962241 loss_bbox: 0.361971 loss_dfl: 0.214089 loss: 1.550848 eta: 4 days, 0:53:24 batch_cost: 3.0588 data_cost: 0.5381 ips: 18.3079 images/s [10/14 02:50:28] ppdet.engine INFO: Epoch: [12] [ 20/523] learning_rate: 0.398413 loss_vfl: 0.954548 loss_bbox: 0.338506 loss_dfl: 0.210430 loss: 1.506161 eta: 4 days, 0:53:01 batch_cost: 2.3643 data_cost: 0.0013 ips: 23.6859 images/s [10/14 02:51:17] ppdet.engine INFO: Epoch: [12] [ 40/523] learning_rate: 0.398403 loss_vfl: 0.950511 loss_bbox: 0.348096 loss_dfl: 0.212121 loss: 1.512076 eta: 4 days, 0:52:29 batch_cost: 2.3459 data_cost: 0.0013 ips: 23.8710 images/s [10/14 02:52:04] ppdet.engine INFO: Epoch: [12] [ 60/523] learning_rate: 0.398393 loss_vfl: 0.965903 loss_bbox: 0.321536 loss_dfl: 0.198927 loss: 1.498959 eta: 4 days, 0:51:12 batch_cost: 2.2499 data_cost: 0.0012 ips: 24.8897 images/s [10/14 02:52:51] ppdet.engine INFO: Epoch: [12] [ 80/523] learning_rate: 0.398383 loss_vfl: 0.946220 loss_bbox: 0.341304 loss_dfl: 0.208475 loss: 1.500257 eta: 4 days, 0:49:42 batch_cost: 2.2244 data_cost: 0.0012 ips: 25.1751 images/s [10/14 02:53:38] ppdet.engine INFO: Epoch: [12] [100/523] learning_rate: 0.398372 loss_vfl: 0.958477 loss_bbox: 0.339830 loss_dfl: 0.203776 loss: 1.491173 eta: 4 days, 0:48:21 batch_cost: 2.2417 data_cost: 0.0011 ips: 24.9805 images/s [10/14 02:54:23] ppdet.engine INFO: Epoch: [12] [120/523] learning_rate: 0.398362 loss_vfl: 0.972133 loss_bbox: 0.322307 loss_dfl: 0.200747 loss: 1.483610 eta: 4 days, 0:46:32 batch_cost: 2.1814 data_cost: 0.0013 ips: 25.6713 images/s [10/14 02:55:11] ppdet.engine INFO: Epoch: [12] [140/523] learning_rate: 0.398352 loss_vfl: 0.947407 loss_bbox: 0.335863 loss_dfl: 0.201197 loss: 1.492915 eta: 4 days, 0:45:18 batch_cost: 2.2576 data_cost: 0.0018 ips: 24.8048 images/s [10/14 02:55:58] ppdet.engine INFO: Epoch: [12] [160/523] learning_rate: 0.398342 loss_vfl: 0.976589 loss_bbox: 0.356212 loss_dfl: 0.217564 loss: 1.526841 eta: 4 days, 0:44:18 batch_cost: 2.2841 data_cost: 0.0012 ips: 24.5168 images/s [10/14 02:56:46] ppdet.engine INFO: Epoch: [12] [180/523] learning_rate: 0.398331 loss_vfl: 0.967389 loss_bbox: 0.341986 loss_dfl: 0.208646 loss: 1.519192 eta: 4 days, 0:42:59 batch_cost: 2.2443 data_cost: 0.0013 ips: 24.9518 images/s [10/14 02:57:32] ppdet.engine INFO: Epoch: [12] [200/523] learning_rate: 0.398321 loss_vfl: 0.965876 loss_bbox: 0.349180 loss_dfl: 0.209090 loss: 1.518468 eta: 4 days, 0:41:16 batch_cost: 2.1916 data_cost: 0.0013 ips: 25.5517 images/s [10/14 02:58:18] ppdet.engine INFO: Epoch: [12] [220/523] learning_rate: 0.398311 loss_vfl: 0.944487 loss_bbox: 0.327753 loss_dfl: 0.203877 loss: 1.468728 eta: 4 days, 0:39:35 batch_cost: 2.1959 data_cost: 0.0018 ips: 25.5025 images/s [10/14 02:59:08] ppdet.engine INFO: Epoch: [12] [240/523] learning_rate: 0.398300 loss_vfl: 0.967050 loss_bbox: 0.363002 loss_dfl: 0.205944 loss: 1.525931 eta: 4 days, 0:39:16 batch_cost: 2.3745 data_cost: 0.0019 ips: 23.5841 images/s [10/14 02:59:57] ppdet.engine INFO: Epoch: [12] [260/523] learning_rate: 0.398290 loss_vfl: 0.948490 loss_bbox: 0.345469 loss_dfl: 0.204836 loss: 1.510398 eta: 4 days, 0:38:48 batch_cost: 2.3537 data_cost: 0.0012 ips: 23.7927 images/s [10/14 03:00:45] ppdet.engine INFO: Epoch: [12] [280/523] learning_rate: 0.398279 loss_vfl: 0.950862 loss_bbox: 0.325258 loss_dfl: 0.200477 loss: 1.485657 eta: 4 days, 0:37:53 batch_cost: 2.2936 data_cost: 0.0012 ips: 24.4161 images/s [10/14 03:01:33] ppdet.engine INFO: Epoch: [12] [300/523] learning_rate: 0.398269 loss_vfl: 0.968155 loss_bbox: 0.342995 loss_dfl: 0.209649 loss: 1.535766 eta: 4 days, 0:36:45 batch_cost: 2.2670 data_cost: 0.0012 ips: 24.7021 images/s [10/14 03:02:21] ppdet.engine INFO: Epoch: [12] [320/523] learning_rate: 0.398258 loss_vfl: 0.961321 loss_bbox: 0.333267 loss_dfl: 0.205823 loss: 1.502685 eta: 4 days, 0:35:34 batch_cost: 2.2589 data_cost: 0.0012 ips: 24.7909 images/s [10/14 03:03:08] ppdet.engine INFO: Epoch: [12] [340/523] learning_rate: 0.398248 loss_vfl: 0.962223 loss_bbox: 0.338323 loss_dfl: 0.206070 loss: 1.506922 eta: 4 days, 0:34:23 batch_cost: 2.2588 data_cost: 0.0012 ips: 24.7924 images/s [10/14 03:03:57] ppdet.engine INFO: Epoch: [12] [360/523] learning_rate: 0.398237 loss_vfl: 0.965079 loss_bbox: 0.352894 loss_dfl: 0.211694 loss: 1.508536 eta: 4 days, 0:33:28 batch_cost: 2.2943 data_cost: 0.0013 ips: 24.4081 images/s [10/14 03:04:44] ppdet.engine INFO: Epoch: [12] [380/523] learning_rate: 0.398226 loss_vfl: 0.967841 loss_bbox: 0.339871 loss_dfl: 0.209601 loss: 1.522378 eta: 4 days, 0:32:19 batch_cost: 2.2641 data_cost: 0.0013 ips: 24.7341 images/s [10/14 03:05:30] ppdet.engine INFO: Epoch: [12] [400/523] learning_rate: 0.398216 loss_vfl: 0.974967 loss_bbox: 0.332287 loss_dfl: 0.200836 loss: 1.513427 eta: 4 days, 0:30:36 batch_cost: 2.1856 data_cost: 0.0012 ips: 25.6221 images/s [10/14 03:06:18] ppdet.engine INFO: Epoch: [12] [420/523] learning_rate: 0.398205 loss_vfl: 0.960064 loss_bbox: 0.341435 loss_dfl: 0.198845 loss: 1.515998 eta: 4 days, 0:29:33 batch_cost: 2.2754 data_cost: 0.0012 ips: 24.6113 images/s [10/14 03:07:05] ppdet.engine INFO: Epoch: [12] [440/523] learning_rate: 0.398194 loss_vfl: 0.929954 loss_bbox: 0.333483 loss_dfl: 0.204882 loss: 1.467597 eta: 4 days, 0:28:03 batch_cost: 2.2158 data_cost: 0.0012 ips: 25.2728 images/s [10/14 03:07:52] ppdet.engine INFO: Epoch: [12] [460/523] learning_rate: 0.398184 loss_vfl: 0.962627 loss_bbox: 0.344857 loss_dfl: 0.208617 loss: 1.515201 eta: 4 days, 0:26:47 batch_cost: 2.2458 data_cost: 0.0012 ips: 24.9351 images/s [10/14 03:08:39] ppdet.engine INFO: Epoch: [12] [480/523] learning_rate: 0.398173 loss_vfl: 0.955391 loss_bbox: 0.342567 loss_dfl: 0.206510 loss: 1.522213 eta: 4 days, 0:25:31 batch_cost: 2.2447 data_cost: 0.0013 ips: 24.9481 images/s [10/14 03:09:25] ppdet.engine INFO: Epoch: [12] [500/523] learning_rate: 0.398162 loss_vfl: 0.962314 loss_bbox: 0.322999 loss_dfl: 0.199982 loss: 1.486951 eta: 4 days, 0:24:04 batch_cost: 2.2197 data_cost: 0.0012 ips: 25.2287 images/s [10/14 03:10:08] ppdet.engine INFO: Epoch: [12] [520/523] learning_rate: 0.398151 loss_vfl: 0.953486 loss_bbox: 0.341055 loss_dfl: 0.210471 loss: 1.517234 eta: 4 days, 0:21:08 batch_cost: 2.0193 data_cost: 0.0012 ips: 27.7321 images/s [10/14 03:10:38] ppdet.engine INFO: Epoch: [13] [ 0/523] learning_rate: 0.398150 loss_vfl: 0.951909 loss_bbox: 0.332996 loss_dfl: 0.209087 loss: 1.499634 eta: 4 days, 0:28:04 batch_cost: 2.9845 data_cost: 0.5187 ips: 18.7634 images/s [10/14 03:11:27] ppdet.engine INFO: Epoch: [13] [ 20/523] learning_rate: 0.398139 loss_vfl: 0.960153 loss_bbox: 0.346079 loss_dfl: 0.210704 loss: 1.523367 eta: 4 days, 0:27:39 batch_cost: 2.3613 data_cost: 0.0015 ips: 23.7155 images/s [10/14 03:12:15] ppdet.engine INFO: Epoch: [13] [ 40/523] learning_rate: 0.398128 loss_vfl: 0.957107 loss_bbox: 0.324976 loss_dfl: 0.200015 loss: 1.493883 eta: 4 days, 0:26:41 batch_cost: 2.2877 data_cost: 0.0012 ips: 24.4788 images/s [10/14 03:13:01] ppdet.engine INFO: Epoch: [13] [ 60/523] learning_rate: 0.398117 loss_vfl: 0.951272 loss_bbox: 0.344311 loss_dfl: 0.208347 loss: 1.517073 eta: 4 days, 0:24:52 batch_cost: 2.1705 data_cost: 0.0013 ips: 25.8008 images/s [10/14 03:13:50] ppdet.engine INFO: Epoch: [13] [ 80/523] learning_rate: 0.398106 loss_vfl: 0.965178 loss_bbox: 0.334707 loss_dfl: 0.198672 loss: 1.479970 eta: 4 days, 0:24:18 batch_cost: 2.3422 data_cost: 0.0013 ips: 23.9087 images/s [10/14 03:14:36] ppdet.engine INFO: Epoch: [13] [100/523] learning_rate: 0.398095 loss_vfl: 0.958281 loss_bbox: 0.333743 loss_dfl: 0.204968 loss: 1.500615 eta: 4 days, 0:22:43 batch_cost: 2.2018 data_cost: 0.0013 ips: 25.4340 images/s [10/14 03:15:24] ppdet.engine INFO: Epoch: [13] [120/523] learning_rate: 0.398084 loss_vfl: 0.948196 loss_bbox: 0.347384 loss_dfl: 0.209248 loss: 1.505762 eta: 4 days, 0:21:41 batch_cost: 2.2769 data_cost: 0.0012 ips: 24.5954 images/s [10/14 03:16:11] ppdet.engine INFO: Epoch: [13] [140/523] learning_rate: 0.398073 loss_vfl: 0.954684 loss_bbox: 0.353683 loss_dfl: 0.209789 loss: 1.517081 eta: 4 days, 0:20:42 batch_cost: 2.2834 data_cost: 0.0012 ips: 24.5250 images/s [10/14 03:16:59] ppdet.engine INFO: Epoch: [13] [160/523] learning_rate: 0.398062 loss_vfl: 1.001005 loss_bbox: 0.316862 loss_dfl: 0.200521 loss: 1.520390 eta: 4 days, 0:19:31 batch_cost: 2.2545 data_cost: 0.0012 ips: 24.8391 images/s [10/14 03:17:47] ppdet.engine INFO: Epoch: [13] [180/523] learning_rate: 0.398050 loss_vfl: 0.961143 loss_bbox: 0.350326 loss_dfl: 0.210650 loss: 1.531488 eta: 4 days, 0:18:52 batch_cost: 2.3299 data_cost: 0.0013 ips: 24.0351 images/s [10/14 03:18:37] ppdet.engine INFO: Epoch: [13] [200/523] learning_rate: 0.398039 loss_vfl: 0.964387 loss_bbox: 0.344784 loss_dfl: 0.203589 loss: 1.527535 eta: 4 days, 0:18:20 batch_cost: 2.3452 data_cost: 0.0014 ips: 23.8781 images/s [10/14 03:19:24] ppdet.engine INFO: Epoch: [13] [220/523] learning_rate: 0.398028 loss_vfl: 0.978125 loss_bbox: 0.337688 loss_dfl: 0.204595 loss: 1.518276 eta: 4 days, 0:17:21 batch_cost: 2.2841 data_cost: 0.0013 ips: 24.5172 images/s [10/14 03:20:12] ppdet.engine INFO: Epoch: [13] [240/523] learning_rate: 0.398017 loss_vfl: 0.965620 loss_bbox: 0.344148 loss_dfl: 0.208420 loss: 1.505919 eta: 4 days, 0:16:17 batch_cost: 2.2709 data_cost: 0.0014 ips: 24.6602 images/s [10/14 03:20:59] ppdet.engine INFO: Epoch: [13] [260/523] learning_rate: 0.398006 loss_vfl: 0.958372 loss_bbox: 0.362019 loss_dfl: 0.208203 loss: 1.505797 eta: 4 days, 0:14:59 batch_cost: 2.2387 data_cost: 0.0015 ips: 25.0142 images/s [10/14 03:21:47] ppdet.engine INFO: Epoch: [13] [280/523] learning_rate: 0.397994 loss_vfl: 0.942804 loss_bbox: 0.328432 loss_dfl: 0.200804 loss: 1.489040 eta: 4 days, 0:13:56 batch_cost: 2.2728 data_cost: 0.0013 ips: 24.6397 images/s [10/14 03:22:35] ppdet.engine INFO: Epoch: [13] [300/523] learning_rate: 0.397983 loss_vfl: 0.963844 loss_bbox: 0.335683 loss_dfl: 0.207220 loss: 1.532785 eta: 4 days, 0:13:16 batch_cost: 2.3252 data_cost: 0.0012 ips: 24.0844 images/s [10/14 03:23:22] ppdet.engine INFO: Epoch: [13] [320/523] learning_rate: 0.397972 loss_vfl: 0.964934 loss_bbox: 0.334056 loss_dfl: 0.199565 loss: 1.493982 eta: 4 days, 0:12:05 batch_cost: 2.2550 data_cost: 0.0012 ips: 24.8336 images/s [10/14 03:24:10] ppdet.engine INFO: Epoch: [13] [340/523] learning_rate: 0.397960 loss_vfl: 0.960252 loss_bbox: 0.340297 loss_dfl: 0.203532 loss: 1.489306 eta: 4 days, 0:11:11 batch_cost: 2.2940 data_cost: 0.0013 ips: 24.4116 images/s [10/14 03:24:58] ppdet.engine INFO: Epoch: [13] [360/523] learning_rate: 0.397949 loss_vfl: 0.952117 loss_bbox: 0.364612 loss_dfl: 0.221394 loss: 1.520952 eta: 4 days, 0:09:56 batch_cost: 2.2429 data_cost: 0.0013 ips: 24.9672 images/s [10/14 03:25:46] ppdet.engine INFO: Epoch: [13] [380/523] learning_rate: 0.397937 loss_vfl: 0.955336 loss_bbox: 0.353163 loss_dfl: 0.217829 loss: 1.513748 eta: 4 days, 0:09:03 batch_cost: 2.2964 data_cost: 0.0013 ips: 24.3857 images/s [10/14 03:26:34] ppdet.engine INFO: Epoch: [13] [400/523] learning_rate: 0.397926 loss_vfl: 0.958216 loss_bbox: 0.339846 loss_dfl: 0.206507 loss: 1.533356 eta: 4 days, 0:08:11 batch_cost: 2.2982 data_cost: 0.0013 ips: 24.3672 images/s [10/14 03:27:23] ppdet.engine INFO: Epoch: [13] [420/523] learning_rate: 0.397914 loss_vfl: 0.954204 loss_bbox: 0.329540 loss_dfl: 0.208121 loss: 1.499175 eta: 4 days, 0:07:27 batch_cost: 2.3170 data_cost: 0.0013 ips: 24.1692 images/s [10/14 03:28:10] ppdet.engine INFO: Epoch: [13] [440/523] learning_rate: 0.397903 loss_vfl: 0.966568 loss_bbox: 0.343582 loss_dfl: 0.212125 loss: 1.519666 eta: 4 days, 0:06:18 batch_cost: 2.2566 data_cost: 0.0012 ips: 24.8163 images/s [10/14 03:28:57] ppdet.engine INFO: Epoch: [13] [460/523] learning_rate: 0.397891 loss_vfl: 0.968649 loss_bbox: 0.330956 loss_dfl: 0.204614 loss: 1.524330 eta: 4 days, 0:05:06 batch_cost: 2.2482 data_cost: 0.0013 ips: 24.9089 images/s [10/14 03:29:45] ppdet.engine INFO: Epoch: [13] [480/523] learning_rate: 0.397880 loss_vfl: 0.948715 loss_bbox: 0.340617 loss_dfl: 0.205129 loss: 1.485562 eta: 4 days, 0:04:10 batch_cost: 2.2891 data_cost: 0.0012 ips: 24.4640 images/s [10/14 03:30:32] ppdet.engine INFO: Epoch: [13] [500/523] learning_rate: 0.397868 loss_vfl: 0.957637 loss_bbox: 0.333175 loss_dfl: 0.203475 loss: 1.516166 eta: 4 days, 0:02:42 batch_cost: 2.2089 data_cost: 0.0012 ips: 25.3518 images/s [10/14 03:31:15] ppdet.engine INFO: Epoch: [13] [520/523] learning_rate: 0.397856 loss_vfl: 0.953228 loss_bbox: 0.334995 loss_dfl: 0.208045 loss: 1.500826 eta: 3 days, 23:59:56 batch_cost: 2.0186 data_cost: 0.0012 ips: 27.7416 images/s [10/14 03:31:42] ppdet.engine INFO: Epoch: [14] [ 0/523] learning_rate: 0.397854 loss_vfl: 0.951163 loss_bbox: 0.345050 loss_dfl: 0.206899 loss: 1.506360 eta: 4 days, 0:05:07 batch_cost: 2.8169 data_cost: 0.4235 ips: 19.8802 images/s [10/14 03:32:35] ppdet.engine INFO: Epoch: [14] [ 20/523] learning_rate: 0.397843 loss_vfl: 0.931949 loss_bbox: 0.344323 loss_dfl: 0.207909 loss: 1.483427 eta: 4 days, 0:05:50 batch_cost: 2.5315 data_cost: 0.0015 ips: 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loss_bbox: 0.328469 loss_dfl: 0.203543 loss: 1.491402 eta: 3 days, 23:56:16 batch_cost: 2.2023 data_cost: 0.0013 ips: 25.4285 images/s [10/14 03:40:33] ppdet.engine INFO: Epoch: [14] [220/523] learning_rate: 0.397724 loss_vfl: 0.962258 loss_bbox: 0.338780 loss_dfl: 0.199921 loss: 1.532182 eta: 3 days, 23:55:25 batch_cost: 2.2999 data_cost: 0.0014 ips: 24.3489 images/s [10/14 03:41:21] ppdet.engine INFO: Epoch: [14] [240/523] learning_rate: 0.397712 loss_vfl: 0.943523 loss_bbox: 0.370372 loss_dfl: 0.209294 loss: 1.532523 eta: 3 days, 23:54:08 batch_cost: 2.2336 data_cost: 0.0012 ips: 25.0719 images/s [10/14 03:42:08] ppdet.engine INFO: Epoch: [14] [260/523] learning_rate: 0.397700 loss_vfl: 0.952616 loss_bbox: 0.353304 loss_dfl: 0.211227 loss: 1.518732 eta: 3 days, 23:52:53 batch_cost: 2.2378 data_cost: 0.0012 ips: 25.0247 images/s [10/14 03:42:56] ppdet.engine INFO: Epoch: [14] [280/523] learning_rate: 0.397688 loss_vfl: 0.947929 loss_bbox: 0.347639 loss_dfl: 0.205110 loss: 1.503180 eta: 3 days, 23:52:09 batch_cost: 2.3181 data_cost: 0.0013 ips: 24.1579 images/s [10/14 03:43:44] ppdet.engine INFO: Epoch: [14] [300/523] learning_rate: 0.397675 loss_vfl: 0.952644 loss_bbox: 0.330887 loss_dfl: 0.203078 loss: 1.488784 eta: 3 days, 23:50:52 batch_cost: 2.2334 data_cost: 0.0013 ips: 25.0741 images/s [10/14 03:44:31] ppdet.engine INFO: Epoch: [14] [320/523] learning_rate: 0.397663 loss_vfl: 0.950457 loss_bbox: 0.332696 loss_dfl: 0.201440 loss: 1.467775 eta: 3 days, 23:49:44 batch_cost: 2.2564 data_cost: 0.0012 ips: 24.8187 images/s [10/14 03:45:20] ppdet.engine INFO: Epoch: [14] [340/523] learning_rate: 0.397651 loss_vfl: 0.975742 loss_bbox: 0.317437 loss_dfl: 0.203703 loss: 1.499481 eta: 3 days, 23:48:54 batch_cost: 2.3002 data_cost: 0.0012 ips: 24.3462 images/s [10/14 03:46:08] ppdet.engine INFO: Epoch: [14] [360/523] learning_rate: 0.397639 loss_vfl: 0.946578 loss_bbox: 0.343361 loss_dfl: 0.217903 loss: 1.527591 eta: 3 days, 23:48:05 batch_cost: 2.3049 data_cost: 0.0013 ips: 24.2960 images/s [10/14 03:46:55] ppdet.engine INFO: Epoch: [14] [380/523] learning_rate: 0.397626 loss_vfl: 0.959033 loss_bbox: 0.344175 loss_dfl: 0.206769 loss: 1.499285 eta: 3 days, 23:47:01 batch_cost: 2.2653 data_cost: 0.0024 ips: 24.7206 images/s [10/14 03:47:42] ppdet.engine INFO: Epoch: [14] [400/523] learning_rate: 0.397614 loss_vfl: 0.937208 loss_bbox: 0.364796 loss_dfl: 0.212005 loss: 1.508098 eta: 3 days, 23:45:40 batch_cost: 2.2204 data_cost: 0.0013 ips: 25.2211 images/s [10/14 03:48:29] ppdet.engine INFO: Epoch: [14] [420/523] learning_rate: 0.397602 loss_vfl: 0.949933 loss_bbox: 0.325829 loss_dfl: 0.197806 loss: 1.452077 eta: 3 days, 23:44:21 batch_cost: 2.2262 data_cost: 0.0012 ips: 25.1553 images/s [10/14 03:49:19] ppdet.engine INFO: Epoch: [14] [440/523] learning_rate: 0.397589 loss_vfl: 0.969164 loss_bbox: 0.332360 loss_dfl: 0.207774 loss: 1.529234 eta: 3 days, 23:43:40 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0989 images/s [10/14 03:50:07] ppdet.engine INFO: Epoch: [14] [460/523] learning_rate: 0.397577 loss_vfl: 0.950902 loss_bbox: 0.336064 loss_dfl: 0.209846 loss: 1.501946 eta: 3 days, 23:42:43 batch_cost: 2.2844 data_cost: 0.0013 ips: 24.5138 images/s [10/14 03:50:53] ppdet.engine INFO: Epoch: [14] [480/523] learning_rate: 0.397565 loss_vfl: 0.955761 loss_bbox: 0.342540 loss_dfl: 0.202125 loss: 1.507107 eta: 3 days, 23:41:24 batch_cost: 2.2229 data_cost: 0.0012 ips: 25.1922 images/s [10/14 03:51:41] ppdet.engine INFO: Epoch: [14] [500/523] learning_rate: 0.397552 loss_vfl: 0.984251 loss_bbox: 0.314633 loss_dfl: 0.195048 loss: 1.505635 eta: 3 days, 23:40:22 batch_cost: 2.2698 data_cost: 0.0012 ips: 24.6722 images/s [10/14 03:52:23] ppdet.engine INFO: Epoch: [14] [520/523] learning_rate: 0.397540 loss_vfl: 0.961744 loss_bbox: 0.341593 loss_dfl: 0.208651 loss: 1.528865 eta: 3 days, 23:37:37 batch_cost: 1.9990 data_cost: 0.0012 ips: 28.0134 images/s [10/14 03:52:52] ppdet.engine INFO: Epoch: [15] [ 0/523] learning_rate: 0.397538 loss_vfl: 0.960548 loss_bbox: 0.346942 loss_dfl: 0.208651 loss: 1.528865 eta: 3 days, 23:43:23 batch_cost: 2.9357 data_cost: 0.6270 ips: 19.0758 images/s [10/14 03:53:41] ppdet.engine INFO: Epoch: [15] [ 20/523] learning_rate: 0.397525 loss_vfl: 0.959502 loss_bbox: 0.338426 loss_dfl: 0.207549 loss: 1.506859 eta: 3 days, 23:42:35 batch_cost: 2.3071 data_cost: 0.0013 ips: 24.2729 images/s [10/14 03:54:31] ppdet.engine INFO: Epoch: [15] [ 40/523] learning_rate: 0.397513 loss_vfl: 0.953038 loss_bbox: 0.331223 loss_dfl: 0.205570 loss: 1.500471 eta: 3 days, 23:42:09 batch_cost: 2.3650 data_cost: 0.0012 ips: 23.6783 images/s [10/14 03:55:19] ppdet.engine INFO: Epoch: [15] [ 60/523] learning_rate: 0.397500 loss_vfl: 0.932728 loss_bbox: 0.356395 loss_dfl: 0.208678 loss: 1.497785 eta: 3 days, 23:41:21 batch_cost: 2.3077 data_cost: 0.0012 ips: 24.2666 images/s [10/14 03:56:07] ppdet.engine INFO: Epoch: [15] [ 80/523] learning_rate: 0.397487 loss_vfl: 0.943850 loss_bbox: 0.340705 loss_dfl: 0.209406 loss: 1.513515 eta: 3 days, 23:40:24 batch_cost: 2.2823 data_cost: 0.0013 ips: 24.5367 images/s [10/14 03:56:55] ppdet.engine INFO: Epoch: [15] [100/523] learning_rate: 0.397475 loss_vfl: 0.969114 loss_bbox: 0.334700 loss_dfl: 0.203107 loss: 1.509791 eta: 3 days, 23:39:28 batch_cost: 2.2855 data_cost: 0.0013 ips: 24.5022 images/s [10/14 03:57:44] ppdet.engine INFO: Epoch: [15] [120/523] learning_rate: 0.397462 loss_vfl: 0.958564 loss_bbox: 0.339043 loss_dfl: 0.204295 loss: 1.474093 eta: 3 days, 23:38:35 batch_cost: 2.2959 data_cost: 0.0012 ips: 24.3913 images/s [10/14 03:58:31] ppdet.engine INFO: Epoch: [15] [140/523] learning_rate: 0.397449 loss_vfl: 0.960153 loss_bbox: 0.331690 loss_dfl: 0.203642 loss: 1.496440 eta: 3 days, 23:37:39 batch_cost: 2.2847 data_cost: 0.0012 ips: 24.5108 images/s [10/14 03:59:19] ppdet.engine INFO: Epoch: [15] [160/523] learning_rate: 0.397436 loss_vfl: 0.960421 loss_bbox: 0.326922 loss_dfl: 0.203416 loss: 1.491115 eta: 3 days, 23:36:33 batch_cost: 2.2583 data_cost: 0.0012 ips: 24.7973 images/s [10/14 04:00:06] ppdet.engine INFO: Epoch: [15] [180/523] learning_rate: 0.397424 loss_vfl: 0.956435 loss_bbox: 0.326649 loss_dfl: 0.203643 loss: 1.486856 eta: 3 days, 23:35:29 batch_cost: 2.2629 data_cost: 0.0025 ips: 24.7471 images/s [10/14 04:00:53] ppdet.engine INFO: Epoch: [15] [200/523] learning_rate: 0.397411 loss_vfl: 0.949197 loss_bbox: 0.339449 loss_dfl: 0.208377 loss: 1.512352 eta: 3 days, 23:34:20 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8767 images/s [10/14 04:01:40] ppdet.engine INFO: Epoch: [15] [220/523] learning_rate: 0.397398 loss_vfl: 0.957201 loss_bbox: 0.354353 loss_dfl: 0.215146 loss: 1.520664 eta: 3 days, 23:33:03 batch_cost: 2.2268 data_cost: 0.0012 ips: 25.1486 images/s [10/14 04:02:28] ppdet.engine INFO: Epoch: [15] [240/523] learning_rate: 0.397385 loss_vfl: 0.952571 loss_bbox: 0.308759 loss_dfl: 0.199274 loss: 1.464003 eta: 3 days, 23:32:03 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6124 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loss_bbox: 0.337115 loss_dfl: 0.205972 loss: 1.495653 eta: 3 days, 23:23:16 batch_cost: 2.2989 data_cost: 0.0012 ips: 24.3599 images/s [10/14 04:10:25] ppdet.engine INFO: Epoch: [15] [440/523] learning_rate: 0.397254 loss_vfl: 0.930804 loss_bbox: 0.350806 loss_dfl: 0.207638 loss: 1.508182 eta: 3 days, 23:22:08 batch_cost: 2.2477 data_cost: 0.0013 ips: 24.9147 images/s [10/14 04:11:12] ppdet.engine INFO: Epoch: [15] [460/523] learning_rate: 0.397241 loss_vfl: 0.959835 loss_bbox: 0.313882 loss_dfl: 0.200356 loss: 1.479790 eta: 3 days, 23:20:40 batch_cost: 2.1953 data_cost: 0.0013 ips: 25.5092 images/s [10/14 04:12:00] ppdet.engine INFO: Epoch: [15] [480/523] learning_rate: 0.397228 loss_vfl: 0.974489 loss_bbox: 0.323890 loss_dfl: 0.197331 loss: 1.479766 eta: 3 days, 23:19:44 batch_cost: 2.2807 data_cost: 0.0020 ips: 24.5534 images/s [10/14 04:12:47] ppdet.engine INFO: Epoch: [15] [500/523] learning_rate: 0.397215 loss_vfl: 0.953972 loss_bbox: 0.339547 loss_dfl: 0.207814 loss: 1.510398 eta: 3 days, 23:18:36 batch_cost: 2.2497 data_cost: 0.0012 ips: 24.8925 images/s [10/14 04:13:28] ppdet.engine INFO: Epoch: [15] [520/523] learning_rate: 0.397201 loss_vfl: 0.948514 loss_bbox: 0.340968 loss_dfl: 0.207773 loss: 1.509435 eta: 3 days, 23:15:40 batch_cost: 1.9431 data_cost: 0.0012 ips: 28.8204 images/s [10/14 04:13:58] ppdet.engine INFO: Epoch: [16] [ 0/523] learning_rate: 0.397199 loss_vfl: 0.946236 loss_bbox: 0.343413 loss_dfl: 0.203918 loss: 1.492699 eta: 3 days, 23:21:22 batch_cost: 2.9532 data_cost: 0.5990 ips: 18.9623 images/s [10/14 04:14:47] ppdet.engine INFO: Epoch: [16] [ 20/523] learning_rate: 0.397186 loss_vfl: 0.933228 loss_bbox: 0.340859 loss_dfl: 0.206667 loss: 1.485964 eta: 3 days, 23:20:22 batch_cost: 2.2715 data_cost: 0.0013 ips: 24.6536 images/s [10/14 04:15:35] ppdet.engine INFO: Epoch: [16] [ 40/523] learning_rate: 0.397172 loss_vfl: 0.963989 loss_bbox: 0.329974 loss_dfl: 0.206073 loss: 1.481493 eta: 3 days, 23:19:25 batch_cost: 2.2812 data_cost: 0.0013 ips: 24.5483 images/s [10/14 04:16:24] ppdet.engine INFO: Epoch: [16] [ 60/523] learning_rate: 0.397159 loss_vfl: 0.945070 loss_bbox: 0.344741 loss_dfl: 0.206637 loss: 1.476847 eta: 3 days, 23:18:42 batch_cost: 2.3195 data_cost: 0.0013 ips: 24.1430 images/s [10/14 04:17:12] ppdet.engine INFO: Epoch: [16] [ 80/523] learning_rate: 0.397146 loss_vfl: 0.940522 loss_bbox: 0.341891 loss_dfl: 0.204679 loss: 1.500935 eta: 3 days, 23:17:55 batch_cost: 2.3097 data_cost: 0.0014 ips: 24.2453 images/s [10/14 04:18:00] ppdet.engine INFO: Epoch: [16] [100/523] learning_rate: 0.397132 loss_vfl: 0.954098 loss_bbox: 0.327312 loss_dfl: 0.207222 loss: 1.501501 eta: 3 days, 23:16:56 batch_cost: 2.2732 data_cost: 0.0012 ips: 24.6346 images/s [10/14 04:18:47] ppdet.engine INFO: Epoch: [16] [120/523] learning_rate: 0.397118 loss_vfl: 0.934872 loss_bbox: 0.334245 loss_dfl: 0.200983 loss: 1.471410 eta: 3 days, 23:15:44 batch_cost: 2.2368 data_cost: 0.0012 ips: 25.0363 images/s [10/14 04:19:35] ppdet.engine INFO: Epoch: [16] [140/523] learning_rate: 0.397105 loss_vfl: 0.956877 loss_bbox: 0.312887 loss_dfl: 0.198068 loss: 1.451755 eta: 3 days, 23:14:49 batch_cost: 2.2850 data_cost: 0.0013 ips: 24.5078 images/s [10/14 04:20:23] ppdet.engine INFO: Epoch: [16] [160/523] learning_rate: 0.397091 loss_vfl: 0.959170 loss_bbox: 0.325327 loss_dfl: 0.196558 loss: 1.478287 eta: 3 days, 23:13:49 batch_cost: 2.2717 data_cost: 0.0012 ips: 24.6509 images/s [10/14 04:21:11] ppdet.engine INFO: Epoch: [16] [180/523] learning_rate: 0.397078 loss_vfl: 0.930942 loss_bbox: 0.325016 loss_dfl: 0.205276 loss: 1.472037 eta: 3 days, 23:12:43 batch_cost: 2.2543 data_cost: 0.0012 ips: 24.8413 images/s [10/14 04:21:58] ppdet.engine INFO: Epoch: [16] [200/523] learning_rate: 0.397064 loss_vfl: 0.926128 loss_bbox: 0.325283 loss_dfl: 0.206787 loss: 1.473842 eta: 3 days, 23:11:28 batch_cost: 2.2268 data_cost: 0.0013 ips: 25.1481 images/s [10/14 04:22:46] ppdet.engine INFO: Epoch: [16] [220/523] learning_rate: 0.397050 loss_vfl: 0.931538 loss_bbox: 0.355430 loss_dfl: 0.211664 loss: 1.493797 eta: 3 days, 23:10:39 batch_cost: 2.3025 data_cost: 0.0056 ips: 24.3216 images/s [10/14 04:23:33] ppdet.engine INFO: Epoch: [16] [240/523] learning_rate: 0.397037 loss_vfl: 0.933899 loss_bbox: 0.330194 loss_dfl: 0.199779 loss: 1.492651 eta: 3 days, 23:09:35 batch_cost: 2.2596 data_cost: 0.0013 ips: 24.7837 images/s [10/14 04:24:21] ppdet.engine INFO: Epoch: [16] [260/523] learning_rate: 0.397023 loss_vfl: 0.949574 loss_bbox: 0.325392 loss_dfl: 0.199932 loss: 1.469611 eta: 3 days, 23:08:41 batch_cost: 2.2852 data_cost: 0.0013 ips: 24.5056 images/s [10/14 04:25:09] ppdet.engine INFO: Epoch: [16] [280/523] learning_rate: 0.397009 loss_vfl: 0.940470 loss_bbox: 0.331946 loss_dfl: 0.200865 loss: 1.481052 eta: 3 days, 23:07:55 batch_cost: 2.3106 data_cost: 0.0013 ips: 24.2360 images/s [10/14 04:25:57] ppdet.engine INFO: Epoch: [16] [300/523] learning_rate: 0.396995 loss_vfl: 0.939411 loss_bbox: 0.356863 loss_dfl: 0.209685 loss: 1.498187 eta: 3 days, 23:06:37 batch_cost: 2.2177 data_cost: 0.0014 ips: 25.2514 images/s [10/14 04:26:44] ppdet.engine INFO: Epoch: [16] [320/523] learning_rate: 0.396981 loss_vfl: 0.918070 loss_bbox: 0.340383 loss_dfl: 0.204598 loss: 1.480488 eta: 3 days, 23:05:26 batch_cost: 2.2370 data_cost: 0.0051 ips: 25.0333 images/s [10/14 04:27:31] ppdet.engine INFO: Epoch: [16] [340/523] learning_rate: 0.396968 loss_vfl: 0.966749 loss_bbox: 0.337074 loss_dfl: 0.203642 loss: 1.472621 eta: 3 days, 23:04:14 batch_cost: 2.2343 data_cost: 0.0013 ips: 25.0632 images/s [10/14 04:28:18] ppdet.engine INFO: Epoch: [16] [360/523] learning_rate: 0.396954 loss_vfl: 0.933305 loss_bbox: 0.335776 loss_dfl: 0.207551 loss: 1.471547 eta: 3 days, 23:03:08 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8769 images/s [10/14 04:29:05] ppdet.engine INFO: Epoch: [16] [380/523] learning_rate: 0.396940 loss_vfl: 0.950164 loss_bbox: 0.340009 loss_dfl: 0.204494 loss: 1.494313 eta: 3 days, 23:01:57 batch_cost: 2.2360 data_cost: 0.0013 ips: 25.0444 images/s [10/14 04:29:50] ppdet.engine INFO: Epoch: [16] [400/523] learning_rate: 0.396926 loss_vfl: 0.965101 loss_bbox: 0.344146 loss_dfl: 0.208223 loss: 1.505202 eta: 3 days, 23:00:21 batch_cost: 2.1612 data_cost: 0.0013 ips: 25.9114 images/s [10/14 04:30:38] ppdet.engine INFO: Epoch: [16] [420/523] learning_rate: 0.396912 loss_vfl: 0.936579 loss_bbox: 0.340907 loss_dfl: 0.204959 loss: 1.504388 eta: 3 days, 22:59:14 batch_cost: 2.2475 data_cost: 0.0013 ips: 24.9164 images/s [10/14 04:31:25] ppdet.engine INFO: Epoch: [16] [440/523] learning_rate: 0.396898 loss_vfl: 0.949197 loss_bbox: 0.327837 loss_dfl: 0.207521 loss: 1.515913 eta: 3 days, 22:57:56 batch_cost: 2.2136 data_cost: 0.0013 ips: 25.2976 images/s [10/14 04:32:13] ppdet.engine INFO: Epoch: [16] [460/523] learning_rate: 0.396884 loss_vfl: 0.953305 loss_bbox: 0.310481 loss_dfl: 0.194885 loss: 1.475134 eta: 3 days, 22:57:01 batch_cost: 2.2846 data_cost: 0.0012 ips: 24.5123 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loss_bbox: 0.332820 loss_dfl: 0.200826 loss: 1.486527 eta: 3 days, 22:53:07 batch_cost: 2.2390 data_cost: 0.0012 ips: 25.0108 images/s [10/14 04:39:47] ppdet.engine INFO: Epoch: [17] [120/523] learning_rate: 0.396753 loss_vfl: 0.923542 loss_bbox: 0.342967 loss_dfl: 0.208218 loss: 1.477743 eta: 3 days, 22:52:06 batch_cost: 2.2659 data_cost: 0.0012 ips: 24.7144 images/s [10/14 04:40:35] ppdet.engine INFO: Epoch: [17] [140/523] learning_rate: 0.396739 loss_vfl: 0.948488 loss_bbox: 0.355252 loss_dfl: 0.211146 loss: 1.515341 eta: 3 days, 22:50:59 batch_cost: 2.2433 data_cost: 0.0012 ips: 24.9630 images/s [10/14 04:41:22] ppdet.engine INFO: Epoch: [17] [160/523] learning_rate: 0.396725 loss_vfl: 0.936621 loss_bbox: 0.340995 loss_dfl: 0.205776 loss: 1.480305 eta: 3 days, 22:49:56 batch_cost: 2.2595 data_cost: 0.0014 ips: 24.7847 images/s [10/14 04:42:08] ppdet.engine INFO: Epoch: [17] [180/523] learning_rate: 0.396710 loss_vfl: 0.929189 loss_bbox: 0.344826 loss_dfl: 0.206255 loss: 1.473729 eta: 3 days, 22:48:32 batch_cost: 2.1935 data_cost: 0.0012 ips: 25.5305 images/s [10/14 04:42:56] ppdet.engine INFO: Epoch: [17] [200/523] learning_rate: 0.396696 loss_vfl: 0.932102 loss_bbox: 0.331466 loss_dfl: 0.200738 loss: 1.470333 eta: 3 days, 22:47:41 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4229 images/s [10/14 04:43:43] ppdet.engine INFO: Epoch: [17] [220/523] learning_rate: 0.396681 loss_vfl: 0.942931 loss_bbox: 0.334364 loss_dfl: 0.202330 loss: 1.466562 eta: 3 days, 22:46:25 batch_cost: 2.2172 data_cost: 0.0013 ips: 25.2576 images/s [10/14 04:44:32] ppdet.engine INFO: Epoch: [17] [240/523] learning_rate: 0.396667 loss_vfl: 0.945098 loss_bbox: 0.329688 loss_dfl: 0.206302 loss: 1.493728 eta: 3 days, 22:45:33 batch_cost: 2.2907 data_cost: 0.0013 ips: 24.4470 images/s [10/14 04:45:19] ppdet.engine INFO: Epoch: [17] [260/523] learning_rate: 0.396652 loss_vfl: 0.930219 loss_bbox: 0.341469 loss_dfl: 0.205670 loss: 1.474488 eta: 3 days, 22:44:25 batch_cost: 2.2412 data_cost: 0.0012 ips: 24.9861 images/s [10/14 04:46:05] ppdet.engine INFO: Epoch: [17] [280/523] learning_rate: 0.396637 loss_vfl: 0.948717 loss_bbox: 0.344488 loss_dfl: 0.208856 loss: 1.503866 eta: 3 days, 22:43:08 batch_cost: 2.2135 data_cost: 0.0012 ips: 25.2997 images/s [10/14 04:46:52] ppdet.engine INFO: Epoch: [17] [300/523] learning_rate: 0.396623 loss_vfl: 0.936536 loss_bbox: 0.318832 loss_dfl: 0.204902 loss: 1.478927 eta: 3 days, 22:41:43 batch_cost: 2.1872 data_cost: 0.0012 ips: 25.6030 images/s [10/14 04:47:39] ppdet.engine INFO: Epoch: [17] [320/523] learning_rate: 0.396608 loss_vfl: 0.945018 loss_bbox: 0.333558 loss_dfl: 0.203071 loss: 1.483409 eta: 3 days, 22:40:35 batch_cost: 2.2374 data_cost: 0.0012 ips: 25.0296 images/s [10/14 04:48:27] ppdet.engine INFO: Epoch: [17] [340/523] learning_rate: 0.396593 loss_vfl: 0.956167 loss_bbox: 0.317698 loss_dfl: 0.195598 loss: 1.475598 eta: 3 days, 22:39:46 batch_cost: 2.2997 data_cost: 0.0012 ips: 24.3507 images/s [10/14 04:49:15] ppdet.engine INFO: Epoch: [17] [360/523] learning_rate: 0.396579 loss_vfl: 0.949479 loss_bbox: 0.334535 loss_dfl: 0.210992 loss: 1.492459 eta: 3 days, 22:38:52 batch_cost: 2.2848 data_cost: 0.0012 ips: 24.5093 images/s [10/14 04:50:03] ppdet.engine INFO: Epoch: [17] [380/523] learning_rate: 0.396564 loss_vfl: 0.934220 loss_bbox: 0.327990 loss_dfl: 0.201365 loss: 1.471512 eta: 3 days, 22:37:52 batch_cost: 2.2625 data_cost: 0.0012 ips: 24.7512 images/s [10/14 04:50:50] ppdet.engine INFO: Epoch: [17] [400/523] learning_rate: 0.396549 loss_vfl: 0.940966 loss_bbox: 0.326060 loss_dfl: 0.202010 loss: 1.461041 eta: 3 days, 22:36:51 batch_cost: 2.2614 data_cost: 0.0014 ips: 24.7629 images/s [10/14 04:51:39] ppdet.engine INFO: Epoch: [17] [420/523] learning_rate: 0.396534 loss_vfl: 0.943605 loss_bbox: 0.339306 loss_dfl: 0.206800 loss: 1.499614 eta: 3 days, 22:35:50 batch_cost: 2.2612 data_cost: 0.0013 ips: 24.7652 images/s [10/14 04:52:26] ppdet.engine INFO: Epoch: [17] [440/523] learning_rate: 0.396519 loss_vfl: 0.939779 loss_bbox: 0.334483 loss_dfl: 0.205472 loss: 1.478468 eta: 3 days, 22:34:45 batch_cost: 2.2484 data_cost: 0.0013 ips: 24.9065 images/s [10/14 04:53:14] ppdet.engine INFO: Epoch: [17] [460/523] learning_rate: 0.396505 loss_vfl: 0.959447 loss_bbox: 0.332441 loss_dfl: 0.200700 loss: 1.475233 eta: 3 days, 22:33:58 batch_cost: 2.3035 data_cost: 0.0019 ips: 24.3110 images/s [10/14 04:54:01] ppdet.engine INFO: Epoch: [17] [480/523] learning_rate: 0.396490 loss_vfl: 0.944021 loss_bbox: 0.369350 loss_dfl: 0.217021 loss: 1.530089 eta: 3 days, 22:32:45 batch_cost: 2.2211 data_cost: 0.0012 ips: 25.2131 images/s [10/14 04:54:48] ppdet.engine INFO: Epoch: [17] [500/523] learning_rate: 0.396475 loss_vfl: 0.952771 loss_bbox: 0.342819 loss_dfl: 0.210940 loss: 1.498115 eta: 3 days, 22:31:40 batch_cost: 2.2483 data_cost: 0.0012 ips: 24.9072 images/s [10/14 04:55:30] ppdet.engine INFO: Epoch: [17] [520/523] learning_rate: 0.396460 loss_vfl: 0.954877 loss_bbox: 0.339447 loss_dfl: 0.209700 loss: 1.513172 eta: 3 days, 22:29:07 batch_cost: 1.9649 data_cost: 0.0012 ips: 28.5006 images/s [10/14 04:56:01] ppdet.engine INFO: Epoch: [18] [ 0/523] learning_rate: 0.396457 loss_vfl: 0.954877 loss_bbox: 0.339447 loss_dfl: 0.209700 loss: 1.517751 eta: 3 days, 22:34:32 batch_cost: 3.0239 data_cost: 0.8504 ips: 18.5192 images/s [10/14 04:56:49] ppdet.engine INFO: Epoch: [18] [ 20/523] learning_rate: 0.396442 loss_vfl: 0.954600 loss_bbox: 0.334098 loss_dfl: 0.202187 loss: 1.470071 eta: 3 days, 22:33:43 batch_cost: 2.2970 data_cost: 0.0016 ips: 24.3795 images/s [10/14 04:57:37] ppdet.engine INFO: Epoch: [18] [ 40/523] learning_rate: 0.396427 loss_vfl: 0.939485 loss_bbox: 0.328164 loss_dfl: 0.199116 loss: 1.467190 eta: 3 days, 22:32:45 batch_cost: 2.2705 data_cost: 0.0013 ips: 24.6638 images/s [10/14 04:58:24] ppdet.engine INFO: Epoch: [18] [ 60/523] learning_rate: 0.396412 loss_vfl: 0.928094 loss_bbox: 0.321320 loss_dfl: 0.203588 loss: 1.433763 eta: 3 days, 22:31:37 batch_cost: 2.2405 data_cost: 0.0012 ips: 24.9949 images/s [10/14 04:59:12] ppdet.engine INFO: Epoch: [18] [ 80/523] learning_rate: 0.396397 loss_vfl: 0.928843 loss_bbox: 0.335462 loss_dfl: 0.209725 loss: 1.472278 eta: 3 days, 22:30:38 batch_cost: 2.2674 data_cost: 0.0013 ips: 24.6979 images/s [10/14 04:59:59] ppdet.engine INFO: Epoch: [18] [100/523] learning_rate: 0.396382 loss_vfl: 0.936382 loss_bbox: 0.331606 loss_dfl: 0.197049 loss: 1.472220 eta: 3 days, 22:29:41 batch_cost: 2.2706 data_cost: 0.0012 ips: 24.6625 images/s [10/14 05:00:47] ppdet.engine INFO: Epoch: [18] [120/523] learning_rate: 0.396367 loss_vfl: 0.957976 loss_bbox: 0.321610 loss_dfl: 0.196799 loss: 1.483513 eta: 3 days, 22:28:49 batch_cost: 2.2904 data_cost: 0.0013 ips: 24.4494 images/s [10/14 05:01:35] ppdet.engine INFO: Epoch: [18] [140/523] learning_rate: 0.396352 loss_vfl: 0.944311 loss_bbox: 0.341777 loss_dfl: 0.214700 loss: 1.495391 eta: 3 days, 22:27:54 batch_cost: 2.2806 data_cost: 0.0013 ips: 24.5544 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loss_bbox: 0.339885 loss_dfl: 0.207063 loss: 1.495578 eta: 3 days, 22:19:00 batch_cost: 2.2772 data_cost: 0.0012 ips: 24.5918 images/s [10/14 05:09:31] ppdet.engine INFO: Epoch: [18] [340/523] learning_rate: 0.396198 loss_vfl: 0.950573 loss_bbox: 0.309664 loss_dfl: 0.190044 loss: 1.450930 eta: 3 days, 22:18:02 batch_cost: 2.2702 data_cost: 0.0012 ips: 24.6672 images/s [10/14 05:10:18] ppdet.engine INFO: Epoch: [18] [360/523] learning_rate: 0.396182 loss_vfl: 0.949219 loss_bbox: 0.334287 loss_dfl: 0.209677 loss: 1.490062 eta: 3 days, 22:17:04 batch_cost: 2.2652 data_cost: 0.0012 ips: 24.7223 images/s [10/14 05:11:05] ppdet.engine INFO: Epoch: [18] [380/523] learning_rate: 0.396167 loss_vfl: 0.946283 loss_bbox: 0.335727 loss_dfl: 0.201283 loss: 1.477650 eta: 3 days, 22:15:57 batch_cost: 2.2380 data_cost: 0.0012 ips: 25.0220 images/s [10/14 05:11:53] ppdet.engine INFO: Epoch: [18] [400/523] learning_rate: 0.396151 loss_vfl: 0.945542 loss_bbox: 0.330244 loss_dfl: 0.209934 loss: 1.485575 eta: 3 days, 22:14:56 batch_cost: 2.2582 data_cost: 0.0014 ips: 24.7986 images/s [10/14 05:12:40] ppdet.engine INFO: Epoch: [18] [420/523] learning_rate: 0.396135 loss_vfl: 0.932687 loss_bbox: 0.328675 loss_dfl: 0.202629 loss: 1.465056 eta: 3 days, 22:13:53 batch_cost: 2.2509 data_cost: 0.0013 ips: 24.8787 images/s [10/14 05:13:28] ppdet.engine INFO: Epoch: [18] [440/523] learning_rate: 0.396120 loss_vfl: 0.946257 loss_bbox: 0.338267 loss_dfl: 0.207483 loss: 1.498353 eta: 3 days, 22:12:55 batch_cost: 2.2656 data_cost: 0.0013 ips: 24.7172 images/s [10/14 05:14:16] ppdet.engine INFO: Epoch: [18] [460/523] learning_rate: 0.396104 loss_vfl: 0.947704 loss_bbox: 0.321161 loss_dfl: 0.198900 loss: 1.470062 eta: 3 days, 22:12:10 batch_cost: 2.3124 data_cost: 0.0013 ips: 24.2170 images/s [10/14 05:15:05] ppdet.engine INFO: Epoch: [18] [480/523] learning_rate: 0.396088 loss_vfl: 0.979065 loss_bbox: 0.312213 loss_dfl: 0.193529 loss: 1.470228 eta: 3 days, 22:11:28 batch_cost: 2.3175 data_cost: 0.0013 ips: 24.1635 images/s [10/14 05:15:51] ppdet.engine INFO: Epoch: [18] [500/523] learning_rate: 0.396072 loss_vfl: 0.955349 loss_bbox: 0.341935 loss_dfl: 0.207774 loss: 1.508522 eta: 3 days, 22:10:15 batch_cost: 2.2185 data_cost: 0.0012 ips: 25.2418 images/s [10/14 05:16:33] ppdet.engine INFO: Epoch: [18] [520/523] learning_rate: 0.396057 loss_vfl: 0.926399 loss_bbox: 0.297873 loss_dfl: 0.184188 loss: 1.435882 eta: 3 days, 22:07:55 batch_cost: 1.9868 data_cost: 0.0013 ips: 28.1857 images/s [10/14 05:17:04] ppdet.engine INFO: Epoch: [19] [ 0/523] learning_rate: 0.396054 loss_vfl: 0.919623 loss_bbox: 0.291250 loss_dfl: 0.184188 loss: 1.443372 eta: 3 days, 22:12:57 batch_cost: 3.0446 data_cost: 0.5564 ips: 18.3929 images/s [10/14 05:17:54] ppdet.engine INFO: Epoch: [19] [ 20/523] learning_rate: 0.396038 loss_vfl: 0.932608 loss_bbox: 0.331199 loss_dfl: 0.197806 loss: 1.460649 eta: 3 days, 22:12:23 batch_cost: 2.3489 data_cost: 0.0013 ips: 23.8407 images/s [10/14 05:18:41] ppdet.engine INFO: Epoch: [19] [ 40/523] learning_rate: 0.396023 loss_vfl: 0.925800 loss_bbox: 0.337179 loss_dfl: 0.210513 loss: 1.470958 eta: 3 days, 22:11:24 batch_cost: 2.2654 data_cost: 0.0012 ips: 24.7193 images/s [10/14 05:19:28] ppdet.engine INFO: Epoch: [19] [ 60/523] learning_rate: 0.396007 loss_vfl: 0.927933 loss_bbox: 0.343870 loss_dfl: 0.203765 loss: 1.487808 eta: 3 days, 22:10:19 batch_cost: 2.2429 data_cost: 0.0013 ips: 24.9679 images/s [10/14 05:20:16] ppdet.engine INFO: Epoch: [19] [ 80/523] learning_rate: 0.395991 loss_vfl: 0.940640 loss_bbox: 0.309587 loss_dfl: 0.192333 loss: 1.447115 eta: 3 days, 22:09:19 batch_cost: 2.2622 data_cost: 0.0012 ips: 24.7551 images/s [10/14 05:21:04] ppdet.engine INFO: Epoch: [19] [100/523] learning_rate: 0.395975 loss_vfl: 0.930004 loss_bbox: 0.332486 loss_dfl: 0.204242 loss: 1.464749 eta: 3 days, 22:08:18 batch_cost: 2.2539 data_cost: 0.0013 ips: 24.8454 images/s [10/14 05:21:51] ppdet.engine INFO: Epoch: [19] [120/523] learning_rate: 0.395959 loss_vfl: 0.927914 loss_bbox: 0.339476 loss_dfl: 0.209447 loss: 1.475231 eta: 3 days, 22:07:19 batch_cost: 2.2636 data_cost: 0.0012 ips: 24.7399 images/s [10/14 05:22:38] ppdet.engine INFO: Epoch: [19] [140/523] learning_rate: 0.395943 loss_vfl: 0.921920 loss_bbox: 0.339082 loss_dfl: 0.204995 loss: 1.477591 eta: 3 days, 22:06:07 batch_cost: 2.2209 data_cost: 0.0013 ips: 25.2145 images/s [10/14 05:23:25] ppdet.engine INFO: Epoch: [19] [160/523] learning_rate: 0.395927 loss_vfl: 0.936926 loss_bbox: 0.349766 loss_dfl: 0.215482 loss: 1.493424 eta: 3 days, 22:05:01 batch_cost: 2.2388 data_cost: 0.0016 ips: 25.0133 images/s [10/14 05:24:11] ppdet.engine INFO: Epoch: [19] [180/523] learning_rate: 0.395910 loss_vfl: 0.926514 loss_bbox: 0.346748 loss_dfl: 0.202553 loss: 1.495237 eta: 3 days, 22:03:44 batch_cost: 2.2019 data_cost: 0.0012 ips: 25.4329 images/s [10/14 05:24:59] ppdet.engine INFO: Epoch: [19] [200/523] learning_rate: 0.395894 loss_vfl: 0.958373 loss_bbox: 0.326273 loss_dfl: 0.196132 loss: 1.466536 eta: 3 days, 22:02:40 batch_cost: 2.2434 data_cost: 0.0012 ips: 24.9622 images/s [10/14 05:25:46] ppdet.engine INFO: Epoch: [19] [220/523] learning_rate: 0.395878 loss_vfl: 0.950416 loss_bbox: 0.325050 loss_dfl: 0.202017 loss: 1.455105 eta: 3 days, 22:01:29 batch_cost: 2.2220 data_cost: 0.0012 ips: 25.2027 images/s [10/14 05:26:33] ppdet.engine INFO: Epoch: [19] [240/523] learning_rate: 0.395862 loss_vfl: 0.955733 loss_bbox: 0.340405 loss_dfl: 0.213716 loss: 1.511841 eta: 3 days, 22:00:27 batch_cost: 2.2512 data_cost: 0.0012 ips: 24.8759 images/s [10/14 05:27:20] ppdet.engine INFO: Epoch: [19] [260/523] learning_rate: 0.395846 loss_vfl: 0.942182 loss_bbox: 0.330560 loss_dfl: 0.204622 loss: 1.474152 eta: 3 days, 21:59:32 batch_cost: 2.2748 data_cost: 0.0012 ips: 24.6173 images/s [10/14 05:28:08] ppdet.engine INFO: Epoch: [19] [280/523] learning_rate: 0.395830 loss_vfl: 0.963346 loss_bbox: 0.326179 loss_dfl: 0.201598 loss: 1.502398 eta: 3 days, 21:58:32 batch_cost: 2.2575 data_cost: 0.0012 ips: 24.8062 images/s [10/14 05:28:56] ppdet.engine INFO: Epoch: [19] [300/523] learning_rate: 0.395813 loss_vfl: 0.944977 loss_bbox: 0.319058 loss_dfl: 0.196596 loss: 1.469001 eta: 3 days, 21:57:34 batch_cost: 2.2677 data_cost: 0.0012 ips: 24.6941 images/s [10/14 05:29:42] ppdet.engine INFO: Epoch: [19] [320/523] learning_rate: 0.395797 loss_vfl: 0.935483 loss_bbox: 0.317623 loss_dfl: 0.198223 loss: 1.485099 eta: 3 days, 21:56:24 batch_cost: 2.2229 data_cost: 0.0012 ips: 25.1918 images/s [10/14 05:30:29] ppdet.engine INFO: Epoch: [19] [340/523] learning_rate: 0.395781 loss_vfl: 0.948330 loss_bbox: 0.330838 loss_dfl: 0.203544 loss: 1.479532 eta: 3 days, 21:55:10 batch_cost: 2.2084 data_cost: 0.0013 ips: 25.3581 images/s [10/14 05:31:17] ppdet.engine INFO: Epoch: [19] [360/523] learning_rate: 0.395764 loss_vfl: 0.950602 loss_bbox: 0.338393 loss_dfl: 0.210172 loss: 1.484643 eta: 3 days, 21:54:21 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4231 images/s [10/14 05:32:04] ppdet.engine INFO: Epoch: [19] [380/523] learning_rate: 0.395748 loss_vfl: 0.924329 loss_bbox: 0.329100 loss_dfl: 0.204394 loss: 1.490266 eta: 3 days, 21:53:19 batch_cost: 2.2510 data_cost: 0.0013 ips: 24.8780 images/s [10/14 05:32:52] ppdet.engine INFO: Epoch: [19] [400/523] learning_rate: 0.395731 loss_vfl: 0.939676 loss_bbox: 0.331666 loss_dfl: 0.205723 loss: 1.474133 eta: 3 days, 21:52:11 batch_cost: 2.2305 data_cost: 0.0012 ips: 25.1060 images/s [10/14 05:33:39] ppdet.engine INFO: Epoch: [19] [420/523] learning_rate: 0.395715 loss_vfl: 0.943731 loss_bbox: 0.325785 loss_dfl: 0.197209 loss: 1.501238 eta: 3 days, 21:51:06 batch_cost: 2.2373 data_cost: 0.0013 ips: 25.0306 images/s [10/14 05:34:26] ppdet.engine INFO: Epoch: [19] [440/523] learning_rate: 0.395698 loss_vfl: 0.951528 loss_bbox: 0.330234 loss_dfl: 0.201880 loss: 1.497096 eta: 3 days, 21:49:55 batch_cost: 2.2194 data_cost: 0.0012 ips: 25.2322 images/s [10/14 05:35:14] ppdet.engine INFO: Epoch: [19] [460/523] learning_rate: 0.395682 loss_vfl: 0.951060 loss_bbox: 0.325241 loss_dfl: 0.201980 loss: 1.475197 eta: 3 days, 21:49:15 batch_cost: 2.3246 data_cost: 0.0013 ips: 24.0903 images/s [10/14 05:36:03] ppdet.engine INFO: Epoch: [19] [480/523] learning_rate: 0.395665 loss_vfl: 0.916491 loss_bbox: 0.333727 loss_dfl: 0.206516 loss: 1.459918 eta: 3 days, 21:48:25 batch_cost: 2.2931 data_cost: 0.0012 ips: 24.4206 images/s [10/14 05:36:49] ppdet.engine INFO: Epoch: [19] [500/523] learning_rate: 0.395649 loss_vfl: 0.939435 loss_bbox: 0.346543 loss_dfl: 0.208340 loss: 1.512153 eta: 3 days, 21:47:12 batch_cost: 2.2093 data_cost: 0.0012 ips: 25.3470 images/s [10/14 05:37:31] ppdet.engine INFO: Epoch: [19] [520/523] learning_rate: 0.395632 loss_vfl: 0.949294 loss_bbox: 0.325371 loss_dfl: 0.205330 loss: 1.477818 eta: 3 days, 21:45:03 batch_cost: 2.0108 data_cost: 0.0012 ips: 27.8500 images/s [10/14 05:37:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 05:37:40] ppdet.engine INFO: Eval iter: 0 [10/14 05:38:19] ppdet.engine INFO: Eval iter: 100 [10/14 05:38:40] ppdet.engine INFO: Eval iter: 200 [10/14 05:39:01] ppdet.engine INFO: Eval iter: 300 [10/14 05:39:22] ppdet.engine INFO: Eval iter: 400 [10/14 05:39:43] ppdet.engine INFO: Eval iter: 500 [10/14 05:40:04] ppdet.engine INFO: Eval iter: 600 [10/14 05:40:24] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.68s) creating index... index created! [10/14 05:40:25] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.32s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.70s). Accumulating evaluation results... DONE (t=18.41s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.290 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.437 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.102 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.311 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.474 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.267 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.424 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.452 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.183 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.688 [10/14 05:42:28] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.13772316939169 [10/14 05:42:28] ppdet.engine INFO: Best test bbox ap is 0.290. [10/14 05:42:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 05:42:30] ppdet.engine INFO: Epoch: [20] [ 0/523] learning_rate: 0.395630 loss_vfl: 0.949294 loss_bbox: 0.325905 loss_dfl: 0.207145 loss: 1.477818 eta: 3 days, 21:44:37 batch_cost: 1.9578 data_cost: 0.0013 ips: 28.6042 images/s [10/14 05:43:19] ppdet.engine INFO: Epoch: [20] [ 20/523] learning_rate: 0.395613 loss_vfl: 0.929648 loss_bbox: 0.321839 loss_dfl: 0.199702 loss: 1.452723 eta: 3 days, 21:43:55 batch_cost: 2.3201 data_cost: 0.0013 ips: 24.1374 images/s [10/14 05:44:08] ppdet.engine INFO: Epoch: [20] [ 40/523] learning_rate: 0.395596 loss_vfl: 0.916416 loss_bbox: 0.329421 loss_dfl: 0.196396 loss: 1.435780 eta: 3 days, 21:43:14 batch_cost: 2.3220 data_cost: 0.0014 ips: 24.1175 images/s [10/14 05:44:55] ppdet.engine INFO: Epoch: [20] [ 60/523] learning_rate: 0.395579 loss_vfl: 0.950147 loss_bbox: 0.312578 loss_dfl: 0.191576 loss: 1.441334 eta: 3 days, 21:42:12 batch_cost: 2.2460 data_cost: 0.0013 ips: 24.9333 images/s [10/14 05:45:43] ppdet.engine INFO: Epoch: [20] [ 80/523] learning_rate: 0.395563 loss_vfl: 0.925783 loss_bbox: 0.340914 loss_dfl: 0.205684 loss: 1.479852 eta: 3 days, 21:41:14 batch_cost: 2.2618 data_cost: 0.0013 ips: 24.7590 images/s [10/14 05:46:30] ppdet.engine INFO: Epoch: [20] [100/523] learning_rate: 0.395546 loss_vfl: 0.935764 loss_bbox: 0.330512 loss_dfl: 0.202768 loss: 1.470960 eta: 3 days, 21:40:17 batch_cost: 2.2646 data_cost: 0.0016 ips: 24.7286 images/s [10/14 05:47:17] ppdet.engine INFO: Epoch: [20] [120/523] learning_rate: 0.395529 loss_vfl: 0.922216 loss_bbox: 0.313130 loss_dfl: 0.201121 loss: 1.443558 eta: 3 days, 21:39:16 batch_cost: 2.2507 data_cost: 0.0013 ips: 24.8808 images/s [10/14 05:48:05] ppdet.engine INFO: Epoch: [20] [140/523] learning_rate: 0.395512 loss_vfl: 0.955863 loss_bbox: 0.345198 loss_dfl: 0.206659 loss: 1.500761 eta: 3 days, 21:38:18 batch_cost: 2.2602 data_cost: 0.0013 ips: 24.7765 images/s [10/14 05:48:53] ppdet.engine INFO: Epoch: [20] [160/523] learning_rate: 0.395495 loss_vfl: 0.919117 loss_bbox: 0.334021 loss_dfl: 0.203974 loss: 1.444702 eta: 3 days, 21:37:26 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5240 images/s [10/14 05:49:41] ppdet.engine INFO: Epoch: [20] [180/523] learning_rate: 0.395478 loss_vfl: 0.931215 loss_bbox: 0.324411 loss_dfl: 0.204140 loss: 1.460047 eta: 3 days, 21:36:29 batch_cost: 2.2661 data_cost: 0.0013 ips: 24.7116 images/s [10/14 05:50:28] ppdet.engine INFO: Epoch: [20] [200/523] learning_rate: 0.395461 loss_vfl: 0.926514 loss_bbox: 0.317253 loss_dfl: 0.202749 loss: 1.465867 eta: 3 days, 21:35:30 batch_cost: 2.2568 data_cost: 0.0020 ips: 24.8134 images/s [10/14 05:51:18] ppdet.engine INFO: Epoch: [20] [220/523] learning_rate: 0.395444 loss_vfl: 0.943327 loss_bbox: 0.325112 loss_dfl: 0.199902 loss: 1.464963 eta: 3 days, 21:35:03 batch_cost: 2.3730 data_cost: 0.0013 ips: 23.5990 images/s [10/14 05:52:06] ppdet.engine INFO: Epoch: [20] [240/523] learning_rate: 0.395427 loss_vfl: 0.958208 loss_bbox: 0.306269 loss_dfl: 0.195180 loss: 1.458168 eta: 3 days, 21:34:06 batch_cost: 2.2637 data_cost: 0.0012 ips: 24.7381 images/s [10/14 05:52:53] ppdet.engine INFO: Epoch: [20] [260/523] learning_rate: 0.395410 loss_vfl: 0.927196 loss_bbox: 0.337308 loss_dfl: 0.211973 loss: 1.498012 eta: 3 days, 21:33:05 batch_cost: 2.2493 data_cost: 0.0012 ips: 24.8964 images/s [10/14 05:53:39] ppdet.engine INFO: Epoch: [20] [280/523] learning_rate: 0.395393 loss_vfl: 0.925940 loss_bbox: 0.350895 loss_dfl: 0.206771 loss: 1.481196 eta: 3 days, 21:31:53 batch_cost: 2.2093 data_cost: 0.0013 ips: 25.3469 images/s [10/14 05:54:26] ppdet.engine INFO: Epoch: [20] [300/523] learning_rate: 0.395376 loss_vfl: 0.959221 loss_bbox: 0.319598 loss_dfl: 0.198088 loss: 1.482360 eta: 3 days, 21:30:58 batch_cost: 2.2721 data_cost: 0.0013 ips: 24.6466 images/s [10/14 05:55:14] ppdet.engine INFO: Epoch: [20] [320/523] learning_rate: 0.395359 loss_vfl: 0.924821 loss_bbox: 0.349780 loss_dfl: 0.216227 loss: 1.496892 eta: 3 days, 21:30:05 batch_cost: 2.2773 data_cost: 0.0012 ips: 24.5909 images/s [10/14 05:56:02] ppdet.engine INFO: Epoch: [20] [340/523] learning_rate: 0.395342 loss_vfl: 0.933004 loss_bbox: 0.356793 loss_dfl: 0.214344 loss: 1.495226 eta: 3 days, 21:29:04 batch_cost: 2.2465 data_cost: 0.0012 ips: 24.9273 images/s [10/14 05:56:49] ppdet.engine INFO: Epoch: [20] [360/523] learning_rate: 0.395325 loss_vfl: 0.930741 loss_bbox: 0.343987 loss_dfl: 0.205739 loss: 1.483449 eta: 3 days, 21:28:11 batch_cost: 2.2800 data_cost: 0.0013 ips: 24.5611 images/s [10/14 05:57:37] ppdet.engine INFO: Epoch: [20] [380/523] learning_rate: 0.395307 loss_vfl: 0.939032 loss_bbox: 0.324260 loss_dfl: 0.201832 loss: 1.460111 eta: 3 days, 21:27:18 batch_cost: 2.2783 data_cost: 0.0018 ips: 24.5799 images/s [10/14 05:58:25] ppdet.engine INFO: Epoch: [20] [400/523] learning_rate: 0.395290 loss_vfl: 0.937805 loss_bbox: 0.318916 loss_dfl: 0.198635 loss: 1.475488 eta: 3 days, 21:26:32 batch_cost: 2.3031 data_cost: 0.0013 ips: 24.3145 images/s [10/14 05:59:12] ppdet.engine INFO: Epoch: [20] [420/523] learning_rate: 0.395273 loss_vfl: 0.943058 loss_bbox: 0.332355 loss_dfl: 0.199838 loss: 1.466363 eta: 3 days, 21:25:31 batch_cost: 2.2470 data_cost: 0.0013 ips: 24.9220 images/s [10/14 06:00:00] ppdet.engine INFO: Epoch: [20] [440/523] learning_rate: 0.395256 loss_vfl: 0.955939 loss_bbox: 0.345743 loss_dfl: 0.207850 loss: 1.531272 eta: 3 days, 21:24:36 batch_cost: 2.2683 data_cost: 0.0012 ips: 24.6875 images/s [10/14 06:00:47] ppdet.engine INFO: Epoch: [20] [460/523] learning_rate: 0.395238 loss_vfl: 0.925384 loss_bbox: 0.340397 loss_dfl: 0.210252 loss: 1.478418 eta: 3 days, 21:23:25 batch_cost: 2.2109 data_cost: 0.0019 ips: 25.3286 images/s [10/14 06:01:34] ppdet.engine INFO: Epoch: [20] [480/523] learning_rate: 0.395221 loss_vfl: 0.929397 loss_bbox: 0.327538 loss_dfl: 0.203848 loss: 1.459167 eta: 3 days, 21:22:20 batch_cost: 2.2306 data_cost: 0.0012 ips: 25.1050 images/s [10/14 06:02:20] ppdet.engine INFO: Epoch: [20] [500/523] learning_rate: 0.395203 loss_vfl: 0.921548 loss_bbox: 0.349698 loss_dfl: 0.211794 loss: 1.489447 eta: 3 days, 21:21:13 batch_cost: 2.2263 data_cost: 0.0012 ips: 25.1536 images/s [10/14 06:03:02] ppdet.engine INFO: Epoch: [20] [520/523] learning_rate: 0.395186 loss_vfl: 0.939516 loss_bbox: 0.317246 loss_dfl: 0.199711 loss: 1.458417 eta: 3 days, 21:19:03 batch_cost: 1.9878 data_cost: 0.0012 ips: 28.1715 images/s [10/14 06:03:27] ppdet.engine INFO: Epoch: [21] [ 0/523] learning_rate: 0.395183 loss_vfl: 0.937721 loss_bbox: 0.327096 loss_dfl: 0.200744 loss: 1.464557 eta: 3 days, 21:22:28 batch_cost: 2.8045 data_cost: 0.5359 ips: 19.9681 images/s [10/14 06:04:20] ppdet.engine INFO: Epoch: [21] [ 20/523] learning_rate: 0.395166 loss_vfl: 0.931448 loss_bbox: 0.332464 loss_dfl: 0.203215 loss: 1.467312 eta: 3 days, 21:22:43 batch_cost: 2.5315 data_cost: 0.0024 ips: 22.1212 images/s [10/14 06:05:08] ppdet.engine INFO: Epoch: [21] [ 40/523] learning_rate: 0.395148 loss_vfl: 0.936796 loss_bbox: 0.312910 loss_dfl: 0.192594 loss: 1.433836 eta: 3 days, 21:21:57 batch_cost: 2.3067 data_cost: 0.0013 ips: 24.2767 images/s [10/14 06:05:57] ppdet.engine INFO: Epoch: [21] [ 60/523] learning_rate: 0.395131 loss_vfl: 0.952394 loss_bbox: 0.319463 loss_dfl: 0.194569 loss: 1.459179 eta: 3 days, 21:21:07 batch_cost: 2.2863 data_cost: 0.0013 ips: 24.4938 images/s [10/14 06:06:44] ppdet.engine INFO: Epoch: [21] [ 80/523] learning_rate: 0.395113 loss_vfl: 0.919491 loss_bbox: 0.332719 loss_dfl: 0.206012 loss: 1.475289 eta: 3 days, 21:20:12 batch_cost: 2.2706 data_cost: 0.0013 ips: 24.6628 images/s [10/14 06:07:34] ppdet.engine INFO: Epoch: [21] [100/523] learning_rate: 0.395096 loss_vfl: 0.957046 loss_bbox: 0.327932 loss_dfl: 0.203936 loss: 1.466221 eta: 3 days, 21:19:42 batch_cost: 2.3661 data_cost: 0.0020 ips: 23.6676 images/s [10/14 06:08:22] ppdet.engine INFO: Epoch: [21] [120/523] learning_rate: 0.395078 loss_vfl: 0.948202 loss_bbox: 0.346244 loss_dfl: 0.206165 loss: 1.495190 eta: 3 days, 21:18:57 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2677 images/s [10/14 06:09:10] ppdet.engine INFO: Epoch: [21] [140/523] learning_rate: 0.395060 loss_vfl: 0.924395 loss_bbox: 0.344057 loss_dfl: 0.209551 loss: 1.497794 eta: 3 days, 21:18:09 batch_cost: 2.2968 data_cost: 0.0014 ips: 24.3816 images/s [10/14 06:09:59] ppdet.engine INFO: Epoch: [21] [160/523] learning_rate: 0.395043 loss_vfl: 0.942926 loss_bbox: 0.311711 loss_dfl: 0.199654 loss: 1.451745 eta: 3 days, 21:17:25 batch_cost: 2.3141 data_cost: 0.0012 ips: 24.1993 images/s [10/14 06:10:47] ppdet.engine INFO: Epoch: [21] [180/523] learning_rate: 0.395025 loss_vfl: 0.932697 loss_bbox: 0.344923 loss_dfl: 0.205358 loss: 1.496544 eta: 3 days, 21:16:36 batch_cost: 2.2900 data_cost: 0.0012 ips: 24.4540 images/s [10/14 06:11:35] ppdet.engine INFO: Epoch: [21] [200/523] learning_rate: 0.395007 loss_vfl: 0.950137 loss_bbox: 0.324247 loss_dfl: 0.196230 loss: 1.434769 eta: 3 days, 21:15:48 batch_cost: 2.2984 data_cost: 0.0013 ips: 24.3645 images/s [10/14 06:12:22] ppdet.engine INFO: Epoch: [21] [220/523] learning_rate: 0.394989 loss_vfl: 0.937404 loss_bbox: 0.334117 loss_dfl: 0.206830 loss: 1.487818 eta: 3 days, 21:14:52 batch_cost: 2.2641 data_cost: 0.0012 ips: 24.7344 images/s [10/14 06:13:12] ppdet.engine INFO: Epoch: [21] [240/523] learning_rate: 0.394971 loss_vfl: 0.947097 loss_bbox: 0.316236 loss_dfl: 0.198740 loss: 1.477218 eta: 3 days, 21:14:20 batch_cost: 2.3600 data_cost: 0.0013 ips: 23.7293 images/s [10/14 06:14:00] ppdet.engine INFO: Epoch: [21] [260/523] learning_rate: 0.394954 loss_vfl: 0.949348 loss_bbox: 0.313782 loss_dfl: 0.195945 loss: 1.473343 eta: 3 days, 21:13:30 batch_cost: 2.2908 data_cost: 0.0013 ips: 24.4453 images/s [10/14 06:14:46] ppdet.engine INFO: Epoch: [21] [280/523] learning_rate: 0.394936 loss_vfl: 0.935046 loss_bbox: 0.328572 loss_dfl: 0.206026 loss: 1.476782 eta: 3 days, 21:12:18 batch_cost: 2.2016 data_cost: 0.0012 ips: 25.4365 images/s [10/14 06:15:34] ppdet.engine INFO: Epoch: [21] [300/523] learning_rate: 0.394918 loss_vfl: 0.928542 loss_bbox: 0.320101 loss_dfl: 0.200140 loss: 1.448548 eta: 3 days, 21:11:22 batch_cost: 2.2660 data_cost: 0.0014 ips: 24.7135 images/s [10/14 06:16:22] ppdet.engine INFO: Epoch: [21] [320/523] learning_rate: 0.394900 loss_vfl: 0.931493 loss_bbox: 0.344691 loss_dfl: 0.205768 loss: 1.505232 eta: 3 days, 21:10:37 batch_cost: 2.3100 data_cost: 0.0013 ips: 24.2424 images/s [10/14 06:17:11] ppdet.engine INFO: Epoch: [21] [340/523] learning_rate: 0.394882 loss_vfl: 0.931277 loss_bbox: 0.340701 loss_dfl: 0.207059 loss: 1.476246 eta: 3 days, 21:09:45 batch_cost: 2.2810 data_cost: 0.0013 ips: 24.5507 images/s [10/14 06:17:59] ppdet.engine INFO: Epoch: [21] [360/523] learning_rate: 0.394864 loss_vfl: 0.950875 loss_bbox: 0.340656 loss_dfl: 0.204383 loss: 1.498005 eta: 3 days, 21:08:56 batch_cost: 2.2892 data_cost: 0.0013 ips: 24.4627 images/s [10/14 06:18:46] ppdet.engine INFO: Epoch: [21] [380/523] learning_rate: 0.394846 loss_vfl: 0.915641 loss_bbox: 0.325667 loss_dfl: 0.209277 loss: 1.464551 eta: 3 days, 21:07:52 batch_cost: 2.2356 data_cost: 0.0015 ips: 25.0496 images/s [10/14 06:19:34] ppdet.engine INFO: Epoch: [21] [400/523] learning_rate: 0.394828 loss_vfl: 0.940126 loss_bbox: 0.335580 loss_dfl: 0.203545 loss: 1.470404 eta: 3 days, 21:07:07 batch_cost: 2.3060 data_cost: 0.0013 ips: 24.2842 images/s [10/14 06:20:22] ppdet.engine INFO: Epoch: [21] [420/523] learning_rate: 0.394810 loss_vfl: 0.936911 loss_bbox: 0.313118 loss_dfl: 0.197868 loss: 1.456923 eta: 3 days, 21:06:15 batch_cost: 2.2801 data_cost: 0.0012 ips: 24.5604 images/s [10/14 06:21:09] ppdet.engine INFO: Epoch: [21] [440/523] learning_rate: 0.394791 loss_vfl: 0.951849 loss_bbox: 0.332962 loss_dfl: 0.195684 loss: 1.457463 eta: 3 days, 21:05:09 batch_cost: 2.2287 data_cost: 0.0013 ips: 25.1264 images/s [10/14 06:21:58] ppdet.engine INFO: Epoch: [21] [460/523] learning_rate: 0.394773 loss_vfl: 0.946677 loss_bbox: 0.324176 loss_dfl: 0.200990 loss: 1.480963 eta: 3 days, 21:04:31 batch_cost: 2.3341 data_cost: 0.0013 ips: 23.9922 images/s [10/14 06:22:45] ppdet.engine INFO: Epoch: [21] [480/523] learning_rate: 0.394755 loss_vfl: 0.944717 loss_bbox: 0.332330 loss_dfl: 0.202164 loss: 1.478174 eta: 3 days, 21:03:35 batch_cost: 2.2650 data_cost: 0.0019 ips: 24.7239 images/s [10/14 06:23:32] ppdet.engine INFO: Epoch: [21] [500/523] learning_rate: 0.394737 loss_vfl: 0.914883 loss_bbox: 0.331297 loss_dfl: 0.200839 loss: 1.450170 eta: 3 days, 21:02:31 batch_cost: 2.2315 data_cost: 0.0012 ips: 25.0950 images/s [10/14 06:24:14] ppdet.engine INFO: Epoch: [21] [520/523] learning_rate: 0.394719 loss_vfl: 0.930337 loss_bbox: 0.337801 loss_dfl: 0.207526 loss: 1.467972 eta: 3 days, 21:00:29 batch_cost: 2.0031 data_cost: 0.0012 ips: 27.9569 images/s [10/14 06:24:44] ppdet.engine INFO: Epoch: [22] [ 0/523] learning_rate: 0.394716 loss_vfl: 0.923909 loss_bbox: 0.328388 loss_dfl: 0.201656 loss: 1.447715 eta: 3 days, 21:04:39 batch_cost: 3.0217 data_cost: 0.8035 ips: 18.5325 images/s [10/14 06:25:34] ppdet.engine INFO: Epoch: [22] [ 20/523] learning_rate: 0.394697 loss_vfl: 0.905222 loss_bbox: 0.331429 loss_dfl: 0.199786 loss: 1.458258 eta: 3 days, 21:04:16 batch_cost: 2.3966 data_cost: 0.0017 ips: 23.3663 images/s [10/14 06:26:25] ppdet.engine INFO: Epoch: [22] [ 40/523] learning_rate: 0.394679 loss_vfl: 0.940375 loss_bbox: 0.329703 loss_dfl: 0.201971 loss: 1.458419 eta: 3 days, 21:04:00 batch_cost: 2.4219 data_cost: 0.0012 ips: 23.1224 images/s [10/14 06:27:12] ppdet.engine INFO: Epoch: [22] [ 60/523] learning_rate: 0.394661 loss_vfl: 0.927146 loss_bbox: 0.313022 loss_dfl: 0.202121 loss: 1.465528 eta: 3 days, 21:03:01 batch_cost: 2.2548 data_cost: 0.0012 ips: 24.8355 images/s [10/14 06:27:59] ppdet.engine INFO: Epoch: [22] [ 80/523] learning_rate: 0.394642 loss_vfl: 0.905899 loss_bbox: 0.356360 loss_dfl: 0.207485 loss: 1.476921 eta: 3 days, 21:01:50 batch_cost: 2.2048 data_cost: 0.0012 ips: 25.3987 images/s [10/14 06:28:47] ppdet.engine INFO: Epoch: [22] [100/523] learning_rate: 0.394624 loss_vfl: 0.913086 loss_bbox: 0.331866 loss_dfl: 0.203834 loss: 1.473995 eta: 3 days, 21:01:04 batch_cost: 2.3084 data_cost: 0.0013 ips: 24.2597 images/s [10/14 06:29:34] ppdet.engine INFO: Epoch: [22] [120/523] learning_rate: 0.394605 loss_vfl: 0.924705 loss_bbox: 0.332392 loss_dfl: 0.206319 loss: 1.500500 eta: 3 days, 21:00:04 batch_cost: 2.2484 data_cost: 0.0012 ips: 24.9070 images/s [10/14 06:30:22] ppdet.engine INFO: Epoch: [22] [140/523] learning_rate: 0.394587 loss_vfl: 0.934045 loss_bbox: 0.311572 loss_dfl: 0.193985 loss: 1.448563 eta: 3 days, 20:59:15 batch_cost: 2.2902 data_cost: 0.0012 ips: 24.4519 images/s [10/14 06:31:10] ppdet.engine INFO: Epoch: [22] [160/523] learning_rate: 0.394568 loss_vfl: 0.926730 loss_bbox: 0.325718 loss_dfl: 0.199920 loss: 1.456617 eta: 3 days, 20:58:23 batch_cost: 2.2818 data_cost: 0.0013 ips: 24.5422 images/s [10/14 06:31:58] ppdet.engine INFO: Epoch: [22] [180/523] learning_rate: 0.394550 loss_vfl: 0.935931 loss_bbox: 0.310715 loss_dfl: 0.199156 loss: 1.465191 eta: 3 days, 20:57:26 batch_cost: 2.2630 data_cost: 0.0018 ips: 24.7458 images/s [10/14 06:32:46] ppdet.engine INFO: Epoch: [22] [200/523] learning_rate: 0.394531 loss_vfl: 0.936285 loss_bbox: 0.308872 loss_dfl: 0.198860 loss: 1.447275 eta: 3 days, 20:56:35 batch_cost: 2.2837 data_cost: 0.0015 ips: 24.5218 images/s [10/14 06:33:33] ppdet.engine INFO: Epoch: [22] [220/523] learning_rate: 0.394513 loss_vfl: 0.949459 loss_bbox: 0.310066 loss_dfl: 0.196616 loss: 1.479041 eta: 3 days, 20:55:42 batch_cost: 2.2763 data_cost: 0.0013 ips: 24.6012 images/s [10/14 06:34:22] ppdet.engine INFO: Epoch: [22] [240/523] learning_rate: 0.394494 loss_vfl: 0.960867 loss_bbox: 0.327576 loss_dfl: 0.202681 loss: 1.475210 eta: 3 days, 20:55:06 batch_cost: 2.3432 data_cost: 0.0013 ips: 23.8989 images/s [10/14 06:35:11] ppdet.engine INFO: Epoch: [22] 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loss_bbox: 0.333201 loss_dfl: 0.200307 loss: 1.475323 eta: 3 days, 20:50:55 batch_cost: 2.2365 data_cost: 0.0013 ips: 25.0395 images/s [10/14 06:39:09] ppdet.engine INFO: Epoch: [22] [360/523] learning_rate: 0.394382 loss_vfl: 0.932792 loss_bbox: 0.322231 loss_dfl: 0.203078 loss: 1.468025 eta: 3 days, 20:49:48 batch_cost: 2.2200 data_cost: 0.0013 ips: 25.2257 images/s [10/14 06:39:56] ppdet.engine INFO: Epoch: [22] [380/523] learning_rate: 0.394363 loss_vfl: 0.954942 loss_bbox: 0.326568 loss_dfl: 0.205291 loss: 1.500303 eta: 3 days, 20:48:48 batch_cost: 2.2448 data_cost: 0.0013 ips: 24.9462 images/s [10/14 06:40:42] ppdet.engine INFO: Epoch: [22] [400/523] learning_rate: 0.394344 loss_vfl: 0.932121 loss_bbox: 0.330778 loss_dfl: 0.204075 loss: 1.457808 eta: 3 days, 20:47:37 batch_cost: 2.2018 data_cost: 0.0012 ips: 25.4337 images/s [10/14 06:41:28] ppdet.engine INFO: Epoch: [22] [420/523] learning_rate: 0.394325 loss_vfl: 0.943894 loss_bbox: 0.314783 loss_dfl: 0.202877 loss: 1.446445 eta: 3 days, 20:46:29 batch_cost: 2.2132 data_cost: 0.0013 ips: 25.3029 images/s [10/14 06:42:15] ppdet.engine INFO: Epoch: [22] [440/523] learning_rate: 0.394306 loss_vfl: 0.956075 loss_bbox: 0.318652 loss_dfl: 0.200377 loss: 1.466892 eta: 3 days, 20:45:23 batch_cost: 2.2232 data_cost: 0.0012 ips: 25.1884 images/s [10/14 06:43:03] ppdet.engine INFO: Epoch: [22] [460/523] learning_rate: 0.394287 loss_vfl: 0.933239 loss_bbox: 0.331291 loss_dfl: 0.205680 loss: 1.486148 eta: 3 days, 20:44:33 batch_cost: 2.2862 data_cost: 0.0012 ips: 24.4943 images/s [10/14 06:43:51] ppdet.engine INFO: Epoch: [22] [480/523] learning_rate: 0.394268 loss_vfl: 0.917463 loss_bbox: 0.321480 loss_dfl: 0.199745 loss: 1.464504 eta: 3 days, 20:43:30 batch_cost: 2.2353 data_cost: 0.0012 ips: 25.0529 images/s [10/14 06:44:39] ppdet.engine INFO: Epoch: [22] [500/523] learning_rate: 0.394249 loss_vfl: 0.941869 loss_bbox: 0.327338 loss_dfl: 0.204438 loss: 1.481672 eta: 3 days, 20:42:37 batch_cost: 2.2762 data_cost: 0.0013 ips: 24.6023 images/s [10/14 06:45:20] ppdet.engine INFO: Epoch: [22] [520/523] learning_rate: 0.394230 loss_vfl: 0.940087 loss_bbox: 0.305549 loss_dfl: 0.197477 loss: 1.469095 eta: 3 days, 20:40:28 batch_cost: 1.9585 data_cost: 0.0012 ips: 28.5936 images/s [10/14 06:45:49] ppdet.engine INFO: Epoch: [23] [ 0/523] learning_rate: 0.394227 loss_vfl: 0.937713 loss_bbox: 0.307537 loss_dfl: 0.201947 loss: 1.471248 eta: 3 days, 20:43:59 batch_cost: 2.8880 data_cost: 0.4669 ips: 19.3909 images/s [10/14 06:46:39] ppdet.engine INFO: Epoch: [23] [ 20/523] learning_rate: 0.394208 loss_vfl: 0.921936 loss_bbox: 0.324945 loss_dfl: 0.200649 loss: 1.453050 eta: 3 days, 20:43:22 batch_cost: 2.3398 data_cost: 0.0015 ips: 23.9335 images/s [10/14 06:47:27] ppdet.engine INFO: Epoch: [23] [ 40/523] learning_rate: 0.394189 loss_vfl: 0.934662 loss_bbox: 0.309331 loss_dfl: 0.198625 loss: 1.445776 eta: 3 days, 20:42:25 batch_cost: 2.2602 data_cost: 0.0013 ips: 24.7763 images/s [10/14 06:48:14] ppdet.engine INFO: Epoch: [23] [ 60/523] learning_rate: 0.394169 loss_vfl: 0.905639 loss_bbox: 0.324000 loss_dfl: 0.205694 loss: 1.435587 eta: 3 days, 20:41:21 batch_cost: 2.2288 data_cost: 0.0014 ips: 25.1255 images/s [10/14 06:49:01] ppdet.engine INFO: Epoch: [23] [ 80/523] learning_rate: 0.394150 loss_vfl: 0.943528 loss_bbox: 0.314468 loss_dfl: 0.198284 loss: 1.445776 eta: 3 days, 20:40:26 batch_cost: 2.2697 data_cost: 0.0016 ips: 24.6732 images/s [10/14 06:49:48] ppdet.engine INFO: Epoch: [23] [100/523] learning_rate: 0.394131 loss_vfl: 0.927441 loss_bbox: 0.345252 loss_dfl: 0.205170 loss: 1.468866 eta: 3 days, 20:39:17 batch_cost: 2.2050 data_cost: 0.0020 ips: 25.3968 images/s [10/14 06:50:35] ppdet.engine INFO: Epoch: [23] [120/523] learning_rate: 0.394112 loss_vfl: 0.940998 loss_bbox: 0.336786 loss_dfl: 0.203111 loss: 1.475255 eta: 3 days, 20:38:26 batch_cost: 2.2850 data_cost: 0.0012 ips: 24.5076 images/s [10/14 06:51:23] ppdet.engine INFO: Epoch: [23] [140/523] learning_rate: 0.394092 loss_vfl: 0.926461 loss_bbox: 0.354099 loss_dfl: 0.210625 loss: 1.466236 eta: 3 days, 20:37:32 batch_cost: 2.2699 data_cost: 0.0024 ips: 24.6709 images/s [10/14 06:52:09] ppdet.engine INFO: Epoch: [23] [160/523] learning_rate: 0.394073 loss_vfl: 0.937927 loss_bbox: 0.332715 loss_dfl: 0.212374 loss: 1.473384 eta: 3 days, 20:36:23 batch_cost: 2.2090 data_cost: 0.0012 ips: 25.3510 images/s [10/14 06:52:56] ppdet.engine INFO: Epoch: [23] [180/523] learning_rate: 0.394054 loss_vfl: 0.927272 loss_bbox: 0.328802 loss_dfl: 0.200710 loss: 1.466531 eta: 3 days, 20:35:24 batch_cost: 2.2502 data_cost: 0.0012 ips: 24.8868 images/s [10/14 06:53:44] ppdet.engine INFO: Epoch: [23] [200/523] learning_rate: 0.394034 loss_vfl: 0.920701 loss_bbox: 0.313297 loss_dfl: 0.192392 loss: 1.431790 eta: 3 days, 20:34:27 batch_cost: 2.2559 data_cost: 0.0013 ips: 24.8242 images/s [10/14 06:54:30] ppdet.engine INFO: Epoch: [23] [220/523] learning_rate: 0.394015 loss_vfl: 0.937237 loss_bbox: 0.320217 loss_dfl: 0.199211 loss: 1.464815 eta: 3 days, 20:33:16 batch_cost: 2.1967 data_cost: 0.0013 ips: 25.4922 images/s [10/14 06:55:18] ppdet.engine INFO: Epoch: [23] [240/523] learning_rate: 0.393995 loss_vfl: 0.936385 loss_bbox: 0.323873 loss_dfl: 0.203711 loss: 1.479650 eta: 3 days, 20:32:15 batch_cost: 2.2410 data_cost: 0.0012 ips: 24.9887 images/s [10/14 06:56:05] ppdet.engine INFO: Epoch: [23] [260/523] learning_rate: 0.393976 loss_vfl: 0.924196 loss_bbox: 0.329911 loss_dfl: 0.201329 loss: 1.481486 eta: 3 days, 20:31:16 batch_cost: 2.2477 data_cost: 0.0012 ips: 24.9144 images/s [10/14 06:56:52] ppdet.engine INFO: Epoch: [23] [280/523] learning_rate: 0.393956 loss_vfl: 0.921291 loss_bbox: 0.346818 loss_dfl: 0.212755 loss: 1.468580 eta: 3 days, 20:30:11 batch_cost: 2.2222 data_cost: 0.0019 ips: 25.2004 images/s [10/14 06:57:38] ppdet.engine INFO: Epoch: [23] [300/523] learning_rate: 0.393937 loss_vfl: 0.903915 loss_bbox: 0.319768 loss_dfl: 0.202917 loss: 1.417410 eta: 3 days, 20:29:05 batch_cost: 2.2196 data_cost: 0.0013 ips: 25.2298 images/s [10/14 06:58:25] ppdet.engine INFO: Epoch: [23] [320/523] learning_rate: 0.393917 loss_vfl: 0.924923 loss_bbox: 0.333825 loss_dfl: 0.201239 loss: 1.443621 eta: 3 days, 20:28:02 batch_cost: 2.2306 data_cost: 0.0012 ips: 25.1057 images/s [10/14 06:59:11] ppdet.engine INFO: Epoch: [23] [340/523] learning_rate: 0.393898 loss_vfl: 0.943098 loss_bbox: 0.316102 loss_dfl: 0.199450 loss: 1.460088 eta: 3 days, 20:26:43 batch_cost: 2.1622 data_cost: 0.0012 ips: 25.9000 images/s [10/14 06:59:58] ppdet.engine INFO: Epoch: [23] [360/523] learning_rate: 0.393878 loss_vfl: 0.922169 loss_bbox: 0.329398 loss_dfl: 0.200961 loss: 1.457856 eta: 3 days, 20:25:46 batch_cost: 2.2538 data_cost: 0.0017 ips: 24.8469 images/s [10/14 07:00:47] ppdet.engine INFO: Epoch: [23] [380/523] learning_rate: 0.393858 loss_vfl: 0.922286 loss_bbox: 0.352845 loss_dfl: 0.212031 loss: 1.465961 eta: 3 days, 20:25:00 batch_cost: 2.3036 data_cost: 0.0019 ips: 24.3102 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loss_bbox: 0.343195 loss_dfl: 0.203482 loss: 1.448354 eta: 3 days, 20:19:45 batch_cost: 2.4256 data_cost: 0.0015 ips: 23.0871 images/s [10/14 07:08:16] ppdet.engine INFO: Epoch: [24] [ 40/523] learning_rate: 0.393677 loss_vfl: 0.930913 loss_bbox: 0.336883 loss_dfl: 0.204477 loss: 1.472210 eta: 3 days, 20:18:49 batch_cost: 2.2568 data_cost: 0.0012 ips: 24.8136 images/s [10/14 07:09:02] ppdet.engine INFO: Epoch: [24] [ 60/523] learning_rate: 0.393657 loss_vfl: 0.901593 loss_bbox: 0.335212 loss_dfl: 0.204515 loss: 1.458329 eta: 3 days, 20:17:30 batch_cost: 2.1576 data_cost: 0.0012 ips: 25.9543 images/s [10/14 07:09:49] ppdet.engine INFO: Epoch: [24] [ 80/523] learning_rate: 0.393637 loss_vfl: 0.927997 loss_bbox: 0.337540 loss_dfl: 0.201843 loss: 1.458387 eta: 3 days, 20:16:36 batch_cost: 2.2714 data_cost: 0.0013 ips: 24.6541 images/s [10/14 07:10:37] ppdet.engine INFO: Epoch: [24] [100/523] learning_rate: 0.393617 loss_vfl: 0.935560 loss_bbox: 0.327533 loss_dfl: 0.201544 loss: 1.467022 eta: 3 days, 20:15:42 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7197 images/s [10/14 07:11:24] ppdet.engine INFO: Epoch: [24] [120/523] learning_rate: 0.393597 loss_vfl: 0.932780 loss_bbox: 0.310764 loss_dfl: 0.194480 loss: 1.446451 eta: 3 days, 20:14:44 batch_cost: 2.2519 data_cost: 0.0013 ips: 24.8683 images/s [10/14 07:12:12] ppdet.engine INFO: Epoch: [24] [140/523] learning_rate: 0.393576 loss_vfl: 0.930089 loss_bbox: 0.341431 loss_dfl: 0.211544 loss: 1.472748 eta: 3 days, 20:13:46 batch_cost: 2.2495 data_cost: 0.0012 ips: 24.8941 images/s [10/14 07:13:00] ppdet.engine INFO: Epoch: [24] [160/523] learning_rate: 0.393556 loss_vfl: 0.938946 loss_bbox: 0.306520 loss_dfl: 0.190625 loss: 1.448779 eta: 3 days, 20:12:58 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4050 images/s [10/14 07:13:47] ppdet.engine INFO: Epoch: [24] [180/523] learning_rate: 0.393536 loss_vfl: 0.945920 loss_bbox: 0.326624 loss_dfl: 0.202717 loss: 1.461928 eta: 3 days, 20:12:04 batch_cost: 2.2652 data_cost: 0.0013 ips: 24.7217 images/s [10/14 07:14:33] ppdet.engine INFO: Epoch: [24] [200/523] learning_rate: 0.393516 loss_vfl: 0.935234 loss_bbox: 0.313544 loss_dfl: 0.198929 loss: 1.466321 eta: 3 days, 20:10:49 batch_cost: 2.1747 data_cost: 0.0013 ips: 25.7503 images/s [10/14 07:15:21] ppdet.engine INFO: Epoch: [24] [220/523] learning_rate: 0.393496 loss_vfl: 0.920755 loss_bbox: 0.311670 loss_dfl: 0.192218 loss: 1.433265 eta: 3 days, 20:09:49 batch_cost: 2.2418 data_cost: 0.0013 ips: 24.9799 images/s [10/14 07:16:07] ppdet.engine INFO: Epoch: [24] [240/523] learning_rate: 0.393475 loss_vfl: 0.953515 loss_bbox: 0.316306 loss_dfl: 0.196418 loss: 1.450134 eta: 3 days, 20:08:38 batch_cost: 2.1893 data_cost: 0.0013 ips: 25.5792 images/s [10/14 07:16:54] ppdet.engine INFO: Epoch: [24] [260/523] learning_rate: 0.393455 loss_vfl: 0.915715 loss_bbox: 0.341849 loss_dfl: 0.212760 loss: 1.481374 eta: 3 days, 20:07:39 batch_cost: 2.2445 data_cost: 0.0012 ips: 24.9504 images/s [10/14 07:17:41] ppdet.engine INFO: Epoch: [24] [280/523] learning_rate: 0.393435 loss_vfl: 0.933171 loss_bbox: 0.339478 loss_dfl: 0.204059 loss: 1.481379 eta: 3 days, 20:06:44 batch_cost: 2.2616 data_cost: 0.0014 ips: 24.7607 images/s [10/14 07:18:28] ppdet.engine INFO: Epoch: [24] [300/523] learning_rate: 0.393414 loss_vfl: 0.944617 loss_bbox: 0.312247 loss_dfl: 0.204977 loss: 1.474871 eta: 3 days, 20:05:41 batch_cost: 2.2269 data_cost: 0.0019 ips: 25.1472 images/s [10/14 07:19:16] ppdet.engine INFO: Epoch: [24] [320/523] learning_rate: 0.393394 loss_vfl: 0.942352 loss_bbox: 0.336899 loss_dfl: 0.207592 loss: 1.477366 eta: 3 days, 20:04:50 batch_cost: 2.2776 data_cost: 0.0018 ips: 24.5874 images/s [10/14 07:20:02] ppdet.engine INFO: Epoch: [24] [340/523] learning_rate: 0.393374 loss_vfl: 0.935845 loss_bbox: 0.333230 loss_dfl: 0.205438 loss: 1.482253 eta: 3 days, 20:03:39 batch_cost: 2.1916 data_cost: 0.0013 ips: 25.5517 images/s [10/14 07:20:49] ppdet.engine INFO: Epoch: [24] [360/523] learning_rate: 0.393353 loss_vfl: 0.935296 loss_bbox: 0.316262 loss_dfl: 0.205302 loss: 1.472576 eta: 3 days, 20:02:43 batch_cost: 2.2569 data_cost: 0.0012 ips: 24.8123 images/s [10/14 07:21:35] ppdet.engine INFO: Epoch: [24] [380/523] learning_rate: 0.393333 loss_vfl: 0.951131 loss_bbox: 0.325582 loss_dfl: 0.197037 loss: 1.439328 eta: 3 days, 20:01:31 batch_cost: 2.1844 data_cost: 0.0013 ips: 25.6359 images/s [10/14 07:22:22] ppdet.engine INFO: Epoch: [24] [400/523] learning_rate: 0.393312 loss_vfl: 0.940723 loss_bbox: 0.313620 loss_dfl: 0.202116 loss: 1.480425 eta: 3 days, 20:00:28 batch_cost: 2.2245 data_cost: 0.0013 ips: 25.1738 images/s [10/14 07:23:09] ppdet.engine INFO: Epoch: [24] [420/523] learning_rate: 0.393292 loss_vfl: 0.959975 loss_bbox: 0.319672 loss_dfl: 0.202757 loss: 1.487459 eta: 3 days, 19:59:31 batch_cost: 2.2510 data_cost: 0.0019 ips: 24.8778 images/s [10/14 07:23:56] ppdet.engine INFO: Epoch: [24] [440/523] learning_rate: 0.393271 loss_vfl: 0.944429 loss_bbox: 0.341384 loss_dfl: 0.210995 loss: 1.511006 eta: 3 days, 19:58:35 batch_cost: 2.2556 data_cost: 0.0013 ips: 24.8271 images/s [10/14 07:24:45] ppdet.engine INFO: Epoch: [24] [460/523] learning_rate: 0.393250 loss_vfl: 0.937686 loss_bbox: 0.324470 loss_dfl: 0.202605 loss: 1.486593 eta: 3 days, 19:57:47 batch_cost: 2.2915 data_cost: 0.0014 ips: 24.4384 images/s [10/14 07:25:33] ppdet.engine INFO: Epoch: [24] [480/523] learning_rate: 0.393230 loss_vfl: 0.923068 loss_bbox: 0.317494 loss_dfl: 0.200507 loss: 1.471434 eta: 3 days, 19:56:56 batch_cost: 2.2786 data_cost: 0.0013 ips: 24.5769 images/s [10/14 07:26:20] ppdet.engine INFO: Epoch: [24] [500/523] learning_rate: 0.393209 loss_vfl: 0.917783 loss_bbox: 0.313958 loss_dfl: 0.202784 loss: 1.472765 eta: 3 days, 19:55:54 batch_cost: 2.2300 data_cost: 0.0013 ips: 25.1124 images/s [10/14 07:27:02] ppdet.engine INFO: Epoch: [24] [520/523] learning_rate: 0.393188 loss_vfl: 0.919241 loss_bbox: 0.349268 loss_dfl: 0.209611 loss: 1.473365 eta: 3 days, 19:53:59 batch_cost: 1.9884 data_cost: 0.0012 ips: 28.1631 images/s [10/14 07:27:28] ppdet.engine INFO: Epoch: [25] [ 0/523] learning_rate: 0.393185 loss_vfl: 0.919241 loss_bbox: 0.342476 loss_dfl: 0.207777 loss: 1.473365 eta: 3 days, 19:56:49 batch_cost: 2.8234 data_cost: 0.5742 ips: 19.8346 images/s [10/14 07:28:20] ppdet.engine INFO: Epoch: [25] [ 20/523] learning_rate: 0.393164 loss_vfl: 0.927291 loss_bbox: 0.317546 loss_dfl: 0.197668 loss: 1.452478 eta: 3 days, 19:56:41 batch_cost: 2.4721 data_cost: 0.0014 ips: 22.6533 images/s [10/14 07:29:09] ppdet.engine INFO: Epoch: [25] [ 40/523] learning_rate: 0.393144 loss_vfl: 0.911588 loss_bbox: 0.320797 loss_dfl: 0.190438 loss: 1.433003 eta: 3 days, 19:55:57 batch_cost: 2.3137 data_cost: 0.0012 ips: 24.2032 images/s [10/14 07:29:56] ppdet.engine INFO: Epoch: [25] [ 60/523] learning_rate: 0.393123 loss_vfl: 0.926066 loss_bbox: 0.313954 loss_dfl: 0.200801 loss: 1.439922 eta: 3 days, 19:54:57 batch_cost: 2.2341 data_cost: 0.0012 ips: 25.0665 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loss_bbox: 0.344363 loss_dfl: 0.204088 loss: 1.449793 eta: 3 days, 19:47:41 batch_cost: 2.2892 data_cost: 0.0013 ips: 24.4632 images/s [10/14 07:37:56] ppdet.engine INFO: Epoch: [25] [260/523] learning_rate: 0.392913 loss_vfl: 0.955000 loss_bbox: 0.312233 loss_dfl: 0.193525 loss: 1.460407 eta: 3 days, 19:46:46 batch_cost: 2.2613 data_cost: 0.0037 ips: 24.7648 images/s [10/14 07:38:42] ppdet.engine INFO: Epoch: [25] [280/523] learning_rate: 0.392892 loss_vfl: 0.915469 loss_bbox: 0.339701 loss_dfl: 0.210495 loss: 1.470014 eta: 3 days, 19:45:40 batch_cost: 2.2088 data_cost: 0.0013 ips: 25.3536 images/s [10/14 07:39:30] ppdet.engine INFO: Epoch: [25] [300/523] learning_rate: 0.392871 loss_vfl: 0.923702 loss_bbox: 0.349706 loss_dfl: 0.208944 loss: 1.474791 eta: 3 days, 19:44:50 batch_cost: 2.2830 data_cost: 0.0013 ips: 24.5291 images/s [10/14 07:40:18] ppdet.engine INFO: Epoch: [25] [320/523] learning_rate: 0.392850 loss_vfl: 0.936257 loss_bbox: 0.329541 loss_dfl: 0.202357 loss: 1.478577 eta: 3 days, 19:44:07 batch_cost: 2.3147 data_cost: 0.0013 ips: 24.1927 images/s [10/14 07:41:06] ppdet.engine INFO: Epoch: [25] [340/523] learning_rate: 0.392828 loss_vfl: 0.934922 loss_bbox: 0.353444 loss_dfl: 0.216120 loss: 1.504759 eta: 3 days, 19:43:16 batch_cost: 2.2763 data_cost: 0.0013 ips: 24.6009 images/s [10/14 07:41:54] ppdet.engine INFO: Epoch: [25] [360/523] learning_rate: 0.392807 loss_vfl: 0.935756 loss_bbox: 0.313508 loss_dfl: 0.197000 loss: 1.448089 eta: 3 days, 19:42:33 batch_cost: 2.3147 data_cost: 0.0019 ips: 24.1929 images/s [10/14 07:42:42] ppdet.engine INFO: Epoch: [25] [380/523] learning_rate: 0.392786 loss_vfl: 0.938647 loss_bbox: 0.301621 loss_dfl: 0.191743 loss: 1.438743 eta: 3 days, 19:41:47 batch_cost: 2.3028 data_cost: 0.0012 ips: 24.3185 images/s [10/14 07:43:31] ppdet.engine INFO: Epoch: [25] [400/523] learning_rate: 0.392764 loss_vfl: 0.929561 loss_bbox: 0.326881 loss_dfl: 0.203627 loss: 1.466887 eta: 3 days, 19:41:08 batch_cost: 2.3328 data_cost: 0.0013 ips: 24.0050 images/s [10/14 07:44:18] ppdet.engine INFO: Epoch: [25] [420/523] learning_rate: 0.392743 loss_vfl: 0.940360 loss_bbox: 0.300975 loss_dfl: 0.191270 loss: 1.461855 eta: 3 days, 19:40:07 batch_cost: 2.2315 data_cost: 0.0013 ips: 25.0957 images/s [10/14 07:45:05] ppdet.engine INFO: Epoch: [25] [440/523] learning_rate: 0.392722 loss_vfl: 0.944013 loss_bbox: 0.324290 loss_dfl: 0.203053 loss: 1.481968 eta: 3 days, 19:39:10 batch_cost: 2.2495 data_cost: 0.0013 ips: 24.8940 images/s [10/14 07:45:52] ppdet.engine INFO: Epoch: [25] [460/523] learning_rate: 0.392700 loss_vfl: 0.946026 loss_bbox: 0.328965 loss_dfl: 0.200134 loss: 1.467201 eta: 3 days, 19:38:09 batch_cost: 2.2308 data_cost: 0.0012 ips: 25.1031 images/s [10/14 07:46:39] ppdet.engine INFO: Epoch: [25] [480/523] learning_rate: 0.392679 loss_vfl: 0.924536 loss_bbox: 0.319938 loss_dfl: 0.200604 loss: 1.457627 eta: 3 days, 19:37:08 batch_cost: 2.2316 data_cost: 0.0013 ips: 25.0942 images/s [10/14 07:47:27] ppdet.engine INFO: Epoch: [25] [500/523] learning_rate: 0.392657 loss_vfl: 0.922063 loss_bbox: 0.312990 loss_dfl: 0.194995 loss: 1.445699 eta: 3 days, 19:36:19 batch_cost: 2.2857 data_cost: 0.0019 ips: 24.5002 images/s [10/14 07:48:08] ppdet.engine INFO: Epoch: [25] [520/523] learning_rate: 0.392636 loss_vfl: 0.927632 loss_bbox: 0.337622 loss_dfl: 0.212203 loss: 1.464197 eta: 3 days, 19:34:24 batch_cost: 1.9753 data_cost: 0.0012 ips: 28.3508 images/s [10/14 07:48:34] ppdet.engine INFO: Epoch: [26] [ 0/523] learning_rate: 0.392633 loss_vfl: 0.922777 loss_bbox: 0.344413 loss_dfl: 0.213662 loss: 1.464197 eta: 3 days, 19:36:52 batch_cost: 2.7255 data_cost: 0.3471 ips: 20.5469 images/s [10/14 07:49:26] ppdet.engine INFO: Epoch: [26] [ 20/523] learning_rate: 0.392611 loss_vfl: 0.905459 loss_bbox: 0.334917 loss_dfl: 0.207156 loss: 1.454150 eta: 3 days, 19:36:38 batch_cost: 2.4535 data_cost: 0.0013 ips: 22.8242 images/s [10/14 07:50:14] ppdet.engine INFO: Epoch: [26] [ 40/523] learning_rate: 0.392589 loss_vfl: 0.953098 loss_bbox: 0.296636 loss_dfl: 0.179070 loss: 1.418935 eta: 3 days, 19:35:47 batch_cost: 2.2744 data_cost: 0.0012 ips: 24.6223 images/s [10/14 07:51:00] ppdet.engine INFO: Epoch: [26] [ 60/523] learning_rate: 0.392568 loss_vfl: 0.916191 loss_bbox: 0.315443 loss_dfl: 0.198688 loss: 1.439028 eta: 3 days, 19:34:44 batch_cost: 2.2236 data_cost: 0.0013 ips: 25.1841 images/s [10/14 07:51:47] ppdet.engine INFO: Epoch: [26] [ 80/523] learning_rate: 0.392546 loss_vfl: 0.938725 loss_bbox: 0.325097 loss_dfl: 0.202852 loss: 1.444621 eta: 3 days, 19:33:41 batch_cost: 2.2212 data_cost: 0.0020 ips: 25.2116 images/s [10/14 07:52:35] ppdet.engine INFO: Epoch: [26] [100/523] learning_rate: 0.392524 loss_vfl: 0.937403 loss_bbox: 0.344077 loss_dfl: 0.202599 loss: 1.464910 eta: 3 days, 19:32:49 batch_cost: 2.2731 data_cost: 0.0013 ips: 24.6361 images/s [10/14 07:53:23] ppdet.engine INFO: Epoch: [26] [120/523] learning_rate: 0.392503 loss_vfl: 0.925698 loss_bbox: 0.333041 loss_dfl: 0.204093 loss: 1.452631 eta: 3 days, 19:32:01 batch_cost: 2.2895 data_cost: 0.0012 ips: 24.4598 images/s [10/14 07:54:10] ppdet.engine INFO: Epoch: [26] [140/523] learning_rate: 0.392481 loss_vfl: 0.913846 loss_bbox: 0.321996 loss_dfl: 0.200420 loss: 1.440629 eta: 3 days, 19:31:05 batch_cost: 2.2538 data_cost: 0.0013 ips: 24.8472 images/s [10/14 07:54:57] ppdet.engine INFO: Epoch: [26] [160/523] learning_rate: 0.392459 loss_vfl: 0.927877 loss_bbox: 0.324263 loss_dfl: 0.201107 loss: 1.460011 eta: 3 days, 19:30:07 batch_cost: 2.2464 data_cost: 0.0012 ips: 24.9283 images/s [10/14 07:55:44] ppdet.engine INFO: Epoch: [26] [180/523] learning_rate: 0.392437 loss_vfl: 0.936926 loss_bbox: 0.324962 loss_dfl: 0.204048 loss: 1.458300 eta: 3 days, 19:29:08 batch_cost: 2.2387 data_cost: 0.0013 ips: 25.0150 images/s [10/14 07:56:30] ppdet.engine INFO: Epoch: [26] [200/523] learning_rate: 0.392416 loss_vfl: 0.946638 loss_bbox: 0.339690 loss_dfl: 0.212731 loss: 1.488568 eta: 3 days, 19:28:02 batch_cost: 2.2051 data_cost: 0.0015 ips: 25.3954 images/s [10/14 07:57:19] ppdet.engine INFO: Epoch: [26] [220/523] learning_rate: 0.392394 loss_vfl: 0.946300 loss_bbox: 0.307899 loss_dfl: 0.194061 loss: 1.466820 eta: 3 days, 19:27:13 batch_cost: 2.2845 data_cost: 0.0013 ips: 24.5131 images/s [10/14 07:58:06] ppdet.engine INFO: Epoch: [26] [240/523] learning_rate: 0.392372 loss_vfl: 0.936596 loss_bbox: 0.338504 loss_dfl: 0.213148 loss: 1.479570 eta: 3 days, 19:26:20 batch_cost: 2.2690 data_cost: 0.0014 ips: 24.6805 images/s [10/14 07:58:54] ppdet.engine INFO: Epoch: [26] [260/523] learning_rate: 0.392350 loss_vfl: 0.957721 loss_bbox: 0.339107 loss_dfl: 0.207039 loss: 1.518264 eta: 3 days, 19:25:33 batch_cost: 2.2962 data_cost: 0.0012 ips: 24.3884 images/s [10/14 07:59:42] ppdet.engine INFO: Epoch: [26] [280/523] learning_rate: 0.392328 loss_vfl: 0.920699 loss_bbox: 0.333927 loss_dfl: 0.197749 loss: 1.442695 eta: 3 days, 19:24:42 batch_cost: 2.2758 data_cost: 0.0012 ips: 24.6072 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loss_bbox: 0.333624 loss_dfl: 0.199123 loss: 1.465096 eta: 3 days, 19:16:10 batch_cost: 2.2523 data_cost: 0.0019 ips: 24.8634 images/s [10/14 08:07:34] ppdet.engine INFO: Epoch: [26] [480/523] learning_rate: 0.392107 loss_vfl: 0.929991 loss_bbox: 0.342447 loss_dfl: 0.208924 loss: 1.486525 eta: 3 days, 19:15:12 batch_cost: 2.2424 data_cost: 0.0012 ips: 24.9728 images/s [10/14 08:08:22] ppdet.engine INFO: Epoch: [26] [500/523] learning_rate: 0.392084 loss_vfl: 0.942524 loss_bbox: 0.310932 loss_dfl: 0.193424 loss: 1.455478 eta: 3 days, 19:14:25 batch_cost: 2.2926 data_cost: 0.0013 ips: 24.4263 images/s [10/14 08:09:04] ppdet.engine INFO: Epoch: [26] [520/523] learning_rate: 0.392062 loss_vfl: 0.956587 loss_bbox: 0.330597 loss_dfl: 0.211001 loss: 1.495135 eta: 3 days, 19:12:36 batch_cost: 1.9911 data_cost: 0.0024 ips: 28.1256 images/s [10/14 08:09:32] ppdet.engine INFO: Epoch: [27] [ 0/523] learning_rate: 0.392059 loss_vfl: 0.962575 loss_bbox: 0.327092 loss_dfl: 0.202088 loss: 1.475659 eta: 3 days, 19:15:25 batch_cost: 2.8791 data_cost: 0.3503 ips: 19.4502 images/s [10/14 08:10:25] ppdet.engine INFO: Epoch: [27] [ 20/523] learning_rate: 0.392036 loss_vfl: 0.933042 loss_bbox: 0.319228 loss_dfl: 0.204662 loss: 1.443467 eta: 3 days, 19:15:25 batch_cost: 2.5261 data_cost: 0.0014 ips: 22.1685 images/s [10/14 08:11:13] ppdet.engine INFO: Epoch: [27] [ 40/523] learning_rate: 0.392014 loss_vfl: 0.920144 loss_bbox: 0.339321 loss_dfl: 0.198540 loss: 1.448674 eta: 3 days, 19:14:36 batch_cost: 2.2873 data_cost: 0.0012 ips: 24.4828 images/s [10/14 08:12:01] ppdet.engine INFO: Epoch: [27] [ 60/523] learning_rate: 0.391992 loss_vfl: 0.925974 loss_bbox: 0.311755 loss_dfl: 0.194402 loss: 1.421069 eta: 3 days, 19:13:50 batch_cost: 2.3029 data_cost: 0.0012 ips: 24.3169 images/s [10/14 08:12:48] ppdet.engine INFO: Epoch: [27] [ 80/523] learning_rate: 0.391969 loss_vfl: 0.929599 loss_bbox: 0.319238 loss_dfl: 0.201265 loss: 1.436997 eta: 3 days, 19:12:50 batch_cost: 2.2298 data_cost: 0.0014 ips: 25.1146 images/s [10/14 08:13:35] ppdet.engine INFO: Epoch: [27] [100/523] learning_rate: 0.391947 loss_vfl: 0.948133 loss_bbox: 0.317345 loss_dfl: 0.201005 loss: 1.464088 eta: 3 days, 19:11:52 batch_cost: 2.2439 data_cost: 0.0012 ips: 24.9566 images/s [10/14 08:14:21] ppdet.engine INFO: Epoch: [27] [120/523] learning_rate: 0.391924 loss_vfl: 0.915980 loss_bbox: 0.330402 loss_dfl: 0.205597 loss: 1.464605 eta: 3 days, 19:10:42 batch_cost: 2.1789 data_cost: 0.0012 ips: 25.7013 images/s [10/14 08:15:08] ppdet.engine INFO: Epoch: [27] [140/523] learning_rate: 0.391902 loss_vfl: 0.927702 loss_bbox: 0.323334 loss_dfl: 0.202312 loss: 1.448969 eta: 3 days, 19:09:43 batch_cost: 2.2349 data_cost: 0.0012 ips: 25.0566 images/s [10/14 08:15:57] ppdet.engine INFO: Epoch: [27] [160/523] learning_rate: 0.391879 loss_vfl: 0.914132 loss_bbox: 0.320765 loss_dfl: 0.197923 loss: 1.447504 eta: 3 days, 19:08:57 batch_cost: 2.3015 data_cost: 0.0013 ips: 24.3320 images/s [10/14 08:16:42] ppdet.engine INFO: Epoch: [27] [180/523] learning_rate: 0.391856 loss_vfl: 0.914641 loss_bbox: 0.309288 loss_dfl: 0.198540 loss: 1.439495 eta: 3 days, 19:07:49 batch_cost: 2.1907 data_cost: 0.0013 ips: 25.5624 images/s [10/14 08:17:30] ppdet.engine INFO: Epoch: [27] [200/523] learning_rate: 0.391834 loss_vfl: 0.936615 loss_bbox: 0.327710 loss_dfl: 0.201694 loss: 1.455495 eta: 3 days, 19:06:50 batch_cost: 2.2370 data_cost: 0.0013 ips: 25.0332 images/s [10/14 08:18:16] ppdet.engine INFO: Epoch: [27] [220/523] learning_rate: 0.391811 loss_vfl: 0.924858 loss_bbox: 0.326865 loss_dfl: 0.201645 loss: 1.446954 eta: 3 days, 19:05:52 batch_cost: 2.2405 data_cost: 0.0013 ips: 24.9946 images/s [10/14 08:19:04] ppdet.engine INFO: Epoch: [27] [240/523] learning_rate: 0.391788 loss_vfl: 0.922445 loss_bbox: 0.339510 loss_dfl: 0.208715 loss: 1.467078 eta: 3 days, 19:05:04 batch_cost: 2.2875 data_cost: 0.0012 ips: 24.4811 images/s [10/14 08:19:52] ppdet.engine INFO: Epoch: [27] [260/523] learning_rate: 0.391766 loss_vfl: 0.929467 loss_bbox: 0.311247 loss_dfl: 0.197659 loss: 1.453320 eta: 3 days, 19:04:08 batch_cost: 2.2506 data_cost: 0.0012 ips: 24.8823 images/s [10/14 08:20:39] ppdet.engine INFO: Epoch: [27] [280/523] learning_rate: 0.391743 loss_vfl: 0.929738 loss_bbox: 0.327567 loss_dfl: 0.199950 loss: 1.442436 eta: 3 days, 19:03:15 batch_cost: 2.2650 data_cost: 0.0013 ips: 24.7244 images/s [10/14 08:21:27] ppdet.engine INFO: Epoch: [27] [300/523] learning_rate: 0.391720 loss_vfl: 0.940948 loss_bbox: 0.322824 loss_dfl: 0.196290 loss: 1.474625 eta: 3 days, 19:02:19 batch_cost: 2.2512 data_cost: 0.0012 ips: 24.8754 images/s [10/14 08:22:13] ppdet.engine INFO: Epoch: [27] [320/523] learning_rate: 0.391697 loss_vfl: 0.933779 loss_bbox: 0.330947 loss_dfl: 0.207842 loss: 1.473140 eta: 3 days, 19:01:19 batch_cost: 2.2307 data_cost: 0.0013 ips: 25.1047 images/s [10/14 08:23:00] ppdet.engine INFO: Epoch: [27] [340/523] learning_rate: 0.391674 loss_vfl: 0.943928 loss_bbox: 0.331198 loss_dfl: 0.205855 loss: 1.474263 eta: 3 days, 19:00:13 batch_cost: 2.1971 data_cost: 0.0012 ips: 25.4876 images/s [10/14 08:23:48] ppdet.engine INFO: Epoch: [27] [360/523] learning_rate: 0.391652 loss_vfl: 0.920229 loss_bbox: 0.304306 loss_dfl: 0.196620 loss: 1.418380 eta: 3 days, 18:59:15 batch_cost: 2.2397 data_cost: 0.0012 ips: 25.0031 images/s [10/14 08:24:34] ppdet.engine INFO: Epoch: [27] [380/523] learning_rate: 0.391629 loss_vfl: 0.927093 loss_bbox: 0.315586 loss_dfl: 0.199874 loss: 1.454050 eta: 3 days, 18:58:13 batch_cost: 2.2164 data_cost: 0.0013 ips: 25.2660 images/s [10/14 08:25:21] ppdet.engine INFO: Epoch: [27] [400/523] learning_rate: 0.391606 loss_vfl: 0.941232 loss_bbox: 0.321059 loss_dfl: 0.200832 loss: 1.469332 eta: 3 days, 18:57:09 batch_cost: 2.2086 data_cost: 0.0013 ips: 25.3551 images/s [10/14 08:26:09] ppdet.engine INFO: Epoch: [27] [420/523] learning_rate: 0.391583 loss_vfl: 0.923076 loss_bbox: 0.305587 loss_dfl: 0.193330 loss: 1.430470 eta: 3 days, 18:56:17 batch_cost: 2.2699 data_cost: 0.0012 ips: 24.6712 images/s [10/14 08:26:56] ppdet.engine INFO: Epoch: [27] [440/523] learning_rate: 0.391560 loss_vfl: 0.937281 loss_bbox: 0.310395 loss_dfl: 0.195708 loss: 1.447644 eta: 3 days, 18:55:21 batch_cost: 2.2494 data_cost: 0.0012 ips: 24.8958 images/s [10/14 08:27:43] ppdet.engine INFO: Epoch: [27] [460/523] learning_rate: 0.391537 loss_vfl: 0.940840 loss_bbox: 0.315398 loss_dfl: 0.199907 loss: 1.495735 eta: 3 days, 18:54:18 batch_cost: 2.2132 data_cost: 0.0012 ips: 25.3031 images/s [10/14 08:28:30] ppdet.engine INFO: Epoch: [27] [480/523] learning_rate: 0.391514 loss_vfl: 0.925307 loss_bbox: 0.327833 loss_dfl: 0.198833 loss: 1.443631 eta: 3 days, 18:53:14 batch_cost: 2.2046 data_cost: 0.0013 ips: 25.4012 images/s [10/14 08:29:15] ppdet.engine INFO: Epoch: [27] [500/523] learning_rate: 0.391491 loss_vfl: 0.937348 loss_bbox: 0.330258 loss_dfl: 0.209195 loss: 1.469343 eta: 3 days, 18:52:01 batch_cost: 2.1608 data_cost: 0.0013 ips: 25.9158 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loss_bbox: 0.307352 loss_dfl: 0.200933 loss: 1.439847 eta: 3 days, 18:47:30 batch_cost: 2.2310 data_cost: 0.0013 ips: 25.1013 images/s [10/14 08:36:50] ppdet.engine INFO: Epoch: [28] [160/523] learning_rate: 0.391278 loss_vfl: 0.944579 loss_bbox: 0.338063 loss_dfl: 0.205540 loss: 1.466861 eta: 3 days, 18:46:40 batch_cost: 2.2764 data_cost: 0.0013 ips: 24.5999 images/s [10/14 08:37:40] ppdet.engine INFO: Epoch: [28] [180/523] learning_rate: 0.391254 loss_vfl: 0.935590 loss_bbox: 0.349908 loss_dfl: 0.210681 loss: 1.487814 eta: 3 days, 18:46:05 batch_cost: 2.3576 data_cost: 0.0013 ips: 23.7528 images/s [10/14 08:38:27] ppdet.engine INFO: Epoch: [28] [200/523] learning_rate: 0.391231 loss_vfl: 0.905428 loss_bbox: 0.336405 loss_dfl: 0.208202 loss: 1.459721 eta: 3 days, 18:45:07 batch_cost: 2.2371 data_cost: 0.0013 ips: 25.0323 images/s [10/14 08:39:16] ppdet.engine INFO: Epoch: [28] [220/523] learning_rate: 0.391207 loss_vfl: 0.918652 loss_bbox: 0.323202 loss_dfl: 0.204236 loss: 1.456171 eta: 3 days, 18:44:25 batch_cost: 2.3184 data_cost: 0.0013 ips: 24.1546 images/s [10/14 08:40:05] ppdet.engine INFO: Epoch: [28] [240/523] learning_rate: 0.391184 loss_vfl: 0.925819 loss_bbox: 0.309762 loss_dfl: 0.196764 loss: 1.438853 eta: 3 days, 18:43:44 batch_cost: 2.3284 data_cost: 0.0012 ips: 24.0507 images/s [10/14 08:40:54] ppdet.engine INFO: Epoch: [28] [260/523] learning_rate: 0.391160 loss_vfl: 0.935941 loss_bbox: 0.339361 loss_dfl: 0.202394 loss: 1.497975 eta: 3 days, 18:43:09 batch_cost: 2.3599 data_cost: 0.0012 ips: 23.7303 images/s [10/14 08:41:42] ppdet.engine INFO: Epoch: [28] [280/523] learning_rate: 0.391137 loss_vfl: 0.933870 loss_bbox: 0.325980 loss_dfl: 0.199361 loss: 1.455017 eta: 3 days, 18:42:25 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2763 images/s [10/14 08:42:29] ppdet.engine INFO: Epoch: [28] [300/523] learning_rate: 0.391113 loss_vfl: 0.916890 loss_bbox: 0.333104 loss_dfl: 0.215227 loss: 1.460491 eta: 3 days, 18:41:18 batch_cost: 2.1894 data_cost: 0.0013 ips: 25.5773 images/s [10/14 08:43:17] ppdet.engine INFO: Epoch: [28] [320/523] learning_rate: 0.391090 loss_vfl: 0.925124 loss_bbox: 0.299310 loss_dfl: 0.186638 loss: 1.410416 eta: 3 days, 18:40:34 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2311 images/s [10/14 08:44:07] ppdet.engine INFO: Epoch: [28] [340/523] learning_rate: 0.391066 loss_vfl: 0.938350 loss_bbox: 0.329011 loss_dfl: 0.207319 loss: 1.457709 eta: 3 days, 18:40:04 batch_cost: 2.3856 data_cost: 0.0023 ips: 23.4740 images/s [10/14 08:44:55] ppdet.engine INFO: Epoch: [28] [360/523] learning_rate: 0.391042 loss_vfl: 0.938632 loss_bbox: 0.311796 loss_dfl: 0.189853 loss: 1.452459 eta: 3 days, 18:39:21 batch_cost: 2.3146 data_cost: 0.0013 ips: 24.1941 images/s [10/14 08:45:42] ppdet.engine INFO: Epoch: [28] [380/523] learning_rate: 0.391019 loss_vfl: 0.937279 loss_bbox: 0.316682 loss_dfl: 0.204300 loss: 1.487889 eta: 3 days, 18:38:24 batch_cost: 2.2409 data_cost: 0.0013 ips: 24.9904 images/s [10/14 08:46:30] ppdet.engine INFO: Epoch: [28] [400/523] learning_rate: 0.390995 loss_vfl: 0.924985 loss_bbox: 0.326055 loss_dfl: 0.199234 loss: 1.452640 eta: 3 days, 18:37:35 batch_cost: 2.2850 data_cost: 0.0012 ips: 24.5077 images/s [10/14 08:47:16] ppdet.engine INFO: Epoch: [28] [420/523] learning_rate: 0.390971 loss_vfl: 0.917677 loss_bbox: 0.319433 loss_dfl: 0.196497 loss: 1.426894 eta: 3 days, 18:36:32 batch_cost: 2.2113 data_cost: 0.0012 ips: 25.3246 images/s [10/14 08:48:04] ppdet.engine INFO: Epoch: [28] [440/523] learning_rate: 0.390947 loss_vfl: 0.919961 loss_bbox: 0.320201 loss_dfl: 0.197610 loss: 1.429735 eta: 3 days, 18:35:41 batch_cost: 2.2744 data_cost: 0.0013 ips: 24.6223 images/s [10/14 08:48:51] ppdet.engine INFO: Epoch: [28] [460/523] learning_rate: 0.390923 loss_vfl: 0.937498 loss_bbox: 0.316109 loss_dfl: 0.204316 loss: 1.445189 eta: 3 days, 18:34:38 batch_cost: 2.2080 data_cost: 0.0012 ips: 25.3622 images/s [10/14 08:49:37] ppdet.engine INFO: Epoch: [28] [480/523] learning_rate: 0.390899 loss_vfl: 0.919730 loss_bbox: 0.341910 loss_dfl: 0.208508 loss: 1.481150 eta: 3 days, 18:33:38 batch_cost: 2.2248 data_cost: 0.0015 ips: 25.1713 images/s [10/14 08:50:25] ppdet.engine INFO: Epoch: [28] [500/523] learning_rate: 0.390876 loss_vfl: 0.906164 loss_bbox: 0.303463 loss_dfl: 0.191185 loss: 1.433804 eta: 3 days, 18:32:48 batch_cost: 2.2750 data_cost: 0.0013 ips: 24.6153 images/s [10/14 08:51:07] ppdet.engine INFO: Epoch: [28] [520/523] learning_rate: 0.390852 loss_vfl: 0.955252 loss_bbox: 0.329851 loss_dfl: 0.199997 loss: 1.468082 eta: 3 days, 18:31:06 batch_cost: 2.0024 data_cost: 0.0012 ips: 27.9669 images/s [10/14 08:51:36] ppdet.engine INFO: Epoch: [29] [ 0/523] learning_rate: 0.390848 loss_vfl: 0.957902 loss_bbox: 0.325748 loss_dfl: 0.199997 loss: 1.461031 eta: 3 days, 18:33:52 batch_cost: 2.9302 data_cost: 0.6462 ips: 19.1112 images/s [10/14 08:52:26] ppdet.engine INFO: Epoch: [29] [ 20/523] learning_rate: 0.390824 loss_vfl: 0.920461 loss_bbox: 0.353445 loss_dfl: 0.208037 loss: 1.465834 eta: 3 days, 18:33:19 batch_cost: 2.3713 data_cost: 0.0013 ips: 23.6161 images/s [10/14 08:53:15] ppdet.engine INFO: Epoch: [29] [ 40/523] learning_rate: 0.390800 loss_vfl: 0.941680 loss_bbox: 0.339313 loss_dfl: 0.205575 loss: 1.481012 eta: 3 days, 18:32:36 batch_cost: 2.3152 data_cost: 0.0024 ips: 24.1884 images/s [10/14 08:54:04] ppdet.engine INFO: Epoch: [29] [ 60/523] learning_rate: 0.390776 loss_vfl: 0.937277 loss_bbox: 0.318891 loss_dfl: 0.193949 loss: 1.449363 eta: 3 days, 18:31:57 batch_cost: 2.3360 data_cost: 0.0013 ips: 23.9726 images/s [10/14 08:54:51] ppdet.engine INFO: Epoch: [29] [ 80/523] learning_rate: 0.390752 loss_vfl: 0.911605 loss_bbox: 0.324586 loss_dfl: 0.201086 loss: 1.459821 eta: 3 days, 18:30:58 batch_cost: 2.2295 data_cost: 0.0012 ips: 25.1178 images/s [10/14 08:55:39] ppdet.engine INFO: Epoch: [29] [100/523] learning_rate: 0.390728 loss_vfl: 0.932466 loss_bbox: 0.318426 loss_dfl: 0.202788 loss: 1.462224 eta: 3 days, 18:30:10 batch_cost: 2.2916 data_cost: 0.0012 ips: 24.4366 images/s [10/14 08:56:26] ppdet.engine INFO: Epoch: [29] [120/523] learning_rate: 0.390704 loss_vfl: 0.917820 loss_bbox: 0.319487 loss_dfl: 0.204141 loss: 1.437760 eta: 3 days, 18:29:20 batch_cost: 2.2812 data_cost: 0.0034 ips: 24.5488 images/s [10/14 08:57:12] ppdet.engine INFO: Epoch: [29] [140/523] learning_rate: 0.390680 loss_vfl: 0.936741 loss_bbox: 0.306183 loss_dfl: 0.189122 loss: 1.438356 eta: 3 days, 18:28:10 batch_cost: 2.1684 data_cost: 0.0013 ips: 25.8260 images/s [10/14 08:58:00] ppdet.engine INFO: Epoch: [29] [160/523] learning_rate: 0.390655 loss_vfl: 0.920183 loss_bbox: 0.316846 loss_dfl: 0.194051 loss: 1.452630 eta: 3 days, 18:27:28 batch_cost: 2.3199 data_cost: 0.0020 ips: 24.1388 images/s [10/14 08:58:48] ppdet.engine INFO: Epoch: [29] [180/523] learning_rate: 0.390631 loss_vfl: 0.924677 loss_bbox: 0.330630 loss_dfl: 0.207849 loss: 1.455708 eta: 3 days, 18:26:33 batch_cost: 2.2567 data_cost: 0.0012 ips: 24.8148 images/s [10/14 08:59:34] ppdet.engine INFO: Epoch: [29] [200/523] learning_rate: 0.390607 loss_vfl: 0.939129 loss_bbox: 0.330406 loss_dfl: 0.202532 loss: 1.487759 eta: 3 days, 18:25:32 batch_cost: 2.2143 data_cost: 0.0025 ips: 25.2899 images/s [10/14 09:00:21] ppdet.engine INFO: Epoch: [29] [220/523] learning_rate: 0.390583 loss_vfl: 0.932181 loss_bbox: 0.328858 loss_dfl: 0.206944 loss: 1.455706 eta: 3 days, 18:24:38 batch_cost: 2.2588 data_cost: 0.0013 ips: 24.7914 images/s [10/14 09:01:08] ppdet.engine INFO: Epoch: [29] [240/523] learning_rate: 0.390558 loss_vfl: 0.924406 loss_bbox: 0.314258 loss_dfl: 0.197905 loss: 1.431119 eta: 3 days, 18:23:41 batch_cost: 2.2402 data_cost: 0.0012 ips: 24.9983 images/s [10/14 09:01:56] ppdet.engine INFO: Epoch: [29] [260/523] learning_rate: 0.390534 loss_vfl: 0.944830 loss_bbox: 0.315713 loss_dfl: 0.210330 loss: 1.482393 eta: 3 days, 18:22:45 batch_cost: 2.2472 data_cost: 0.0013 ips: 24.9204 images/s [10/14 09:02:43] ppdet.engine INFO: Epoch: [29] [280/523] learning_rate: 0.390510 loss_vfl: 0.944323 loss_bbox: 0.316941 loss_dfl: 0.193123 loss: 1.468662 eta: 3 days, 18:21:50 batch_cost: 2.2486 data_cost: 0.0028 ips: 24.9048 images/s [10/14 09:03:29] ppdet.engine INFO: Epoch: [29] [300/523] learning_rate: 0.390485 loss_vfl: 0.918444 loss_bbox: 0.346414 loss_dfl: 0.210754 loss: 1.497430 eta: 3 days, 18:20:48 batch_cost: 2.2123 data_cost: 0.0013 ips: 25.3130 images/s [10/14 09:04:16] ppdet.engine INFO: Epoch: [29] [320/523] learning_rate: 0.390461 loss_vfl: 0.928877 loss_bbox: 0.301296 loss_dfl: 0.186176 loss: 1.400972 eta: 3 days, 18:19:49 batch_cost: 2.2285 data_cost: 0.0026 ips: 25.1287 images/s [10/14 09:05:04] ppdet.engine INFO: Epoch: [29] [340/523] learning_rate: 0.390436 loss_vfl: 0.921263 loss_bbox: 0.323559 loss_dfl: 0.202207 loss: 1.453824 eta: 3 days, 18:18:54 batch_cost: 2.2492 data_cost: 0.0018 ips: 24.8978 images/s [10/14 09:05:50] ppdet.engine INFO: Epoch: [29] [360/523] learning_rate: 0.390412 loss_vfl: 0.904952 loss_bbox: 0.318248 loss_dfl: 0.201266 loss: 1.433530 eta: 3 days, 18:17:55 batch_cost: 2.2278 data_cost: 0.0024 ips: 25.1372 images/s [10/14 09:06:37] ppdet.engine INFO: Epoch: [29] [380/523] learning_rate: 0.390387 loss_vfl: 0.937886 loss_bbox: 0.314285 loss_dfl: 0.192360 loss: 1.422029 eta: 3 days, 18:17:00 batch_cost: 2.2526 data_cost: 0.0023 ips: 24.8598 images/s [10/14 09:07:24] ppdet.engine INFO: Epoch: [29] [400/523] learning_rate: 0.390363 loss_vfl: 0.936656 loss_bbox: 0.333169 loss_dfl: 0.208877 loss: 1.474346 eta: 3 days, 18:16:02 batch_cost: 2.2297 data_cost: 0.0019 ips: 25.1159 images/s [10/14 09:08:12] ppdet.engine INFO: Epoch: [29] [420/523] learning_rate: 0.390338 loss_vfl: 0.941360 loss_bbox: 0.327869 loss_dfl: 0.197441 loss: 1.455466 eta: 3 days, 18:15:10 batch_cost: 2.2695 data_cost: 0.0013 ips: 24.6755 images/s [10/14 09:08:59] ppdet.engine INFO: Epoch: [29] [440/523] learning_rate: 0.390314 loss_vfl: 0.952986 loss_bbox: 0.307113 loss_dfl: 0.194234 loss: 1.461026 eta: 3 days, 18:14:20 batch_cost: 2.2774 data_cost: 0.0014 ips: 24.5891 images/s [10/14 09:09:48] ppdet.engine INFO: Epoch: [29] [460/523] learning_rate: 0.390289 loss_vfl: 0.922518 loss_bbox: 0.318583 loss_dfl: 0.203003 loss: 1.462189 eta: 3 days, 18:13:41 batch_cost: 2.3378 data_cost: 0.0013 ips: 23.9545 images/s [10/14 09:10:36] ppdet.engine INFO: Epoch: [29] [480/523] learning_rate: 0.390264 loss_vfl: 0.921528 loss_bbox: 0.329866 loss_dfl: 0.201486 loss: 1.458454 eta: 3 days, 18:12:52 batch_cost: 2.2785 data_cost: 0.0024 ips: 24.5780 images/s [10/14 09:11:23] ppdet.engine INFO: Epoch: [29] [500/523] learning_rate: 0.390240 loss_vfl: 0.915440 loss_bbox: 0.321232 loss_dfl: 0.202154 loss: 1.429337 eta: 3 days, 18:11:55 batch_cost: 2.2419 data_cost: 0.0012 ips: 24.9783 images/s [10/14 09:12:06] ppdet.engine INFO: Epoch: [29] [520/523] learning_rate: 0.390215 loss_vfl: 0.917742 loss_bbox: 0.338241 loss_dfl: 0.201854 loss: 1.465009 eta: 3 days, 18:10:21 batch_cost: 2.0331 data_cost: 0.0012 ips: 27.5441 images/s [10/14 09:12:13] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 09:12:13] ppdet.engine INFO: Eval iter: 0 [10/14 09:12:53] ppdet.engine INFO: Eval iter: 100 [10/14 09:13:14] ppdet.engine INFO: Eval iter: 200 [10/14 09:13:35] ppdet.engine INFO: Eval iter: 300 [10/14 09:13:56] ppdet.engine INFO: Eval iter: 400 [10/14 09:14:16] ppdet.engine INFO: Eval iter: 500 [10/14 09:14:37] ppdet.engine INFO: Eval iter: 600 [10/14 09:14:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.68s) creating index... index created! [10/14 09:14:58] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.34s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.87s). Accumulating evaluation results... DONE (t=18.40s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.451 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 ] = 0.327 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.275 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.436 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 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 ] = 0.519 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.702 [10/14 09:17:04] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.2283837215258 [10/14 09:17:04] ppdet.engine INFO: Best test bbox ap is 0.304. [10/14 09:17:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 09:17:06] ppdet.engine INFO: Epoch: [30] [ 0/523] learning_rate: 0.390211 loss_vfl: 0.931771 loss_bbox: 0.319701 loss_dfl: 0.200522 loss: 1.447042 eta: 3 days, 18:10:01 batch_cost: 1.9814 data_cost: 0.0013 ips: 28.2629 images/s [10/14 09:17:56] ppdet.engine INFO: Epoch: [30] [ 20/523] learning_rate: 0.390187 loss_vfl: 0.926192 loss_bbox: 0.309780 loss_dfl: 0.196368 loss: 1.436492 eta: 3 days, 18:09:29 batch_cost: 2.3760 data_cost: 0.0023 ips: 23.5686 images/s [10/14 09:18:45] ppdet.engine INFO: Epoch: [30] [ 40/523] learning_rate: 0.390162 loss_vfl: 0.919530 loss_bbox: 0.332276 loss_dfl: 0.206455 loss: 1.470549 eta: 3 days, 18:08:52 batch_cost: 2.3446 data_cost: 0.0023 ips: 23.8843 images/s [10/14 09:19:32] ppdet.engine INFO: Epoch: [30] [ 60/523] learning_rate: 0.390137 loss_vfl: 0.902246 loss_bbox: 0.316733 loss_dfl: 0.195186 loss: 1.415467 eta: 3 days, 18:08:02 batch_cost: 2.2766 data_cost: 0.0012 ips: 24.5985 images/s [10/14 09:20:19] ppdet.engine INFO: Epoch: [30] [ 80/523] learning_rate: 0.390112 loss_vfl: 0.910220 loss_bbox: 0.337273 loss_dfl: 0.204343 loss: 1.455153 eta: 3 days, 18:07:02 batch_cost: 2.2248 data_cost: 0.0012 ips: 25.1707 images/s [10/14 09:21:07] ppdet.engine INFO: Epoch: [30] [100/523] learning_rate: 0.390087 loss_vfl: 0.930392 loss_bbox: 0.325534 loss_dfl: 0.200202 loss: 1.445992 eta: 3 days, 18:06:12 batch_cost: 2.2718 data_cost: 0.0013 ips: 24.6505 images/s [10/14 09:21:55] ppdet.engine INFO: Epoch: [30] [120/523] learning_rate: 0.390062 loss_vfl: 0.924704 loss_bbox: 0.302456 loss_dfl: 0.194805 loss: 1.440829 eta: 3 days, 18:05:20 batch_cost: 2.2697 data_cost: 0.0013 ips: 24.6728 images/s [10/14 09:22:42] ppdet.engine INFO: Epoch: [30] [140/523] learning_rate: 0.390037 loss_vfl: 0.911306 loss_bbox: 0.326962 loss_dfl: 0.205549 loss: 1.447512 eta: 3 days, 18:04:28 batch_cost: 2.2597 data_cost: 0.0014 ips: 24.7818 images/s [10/14 09:23:30] ppdet.engine INFO: Epoch: [30] [160/523] learning_rate: 0.390012 loss_vfl: 0.925363 loss_bbox: 0.325758 loss_dfl: 0.202439 loss: 1.465214 eta: 3 days, 18:03:38 batch_cost: 2.2809 data_cost: 0.0013 ips: 24.5517 images/s [10/14 09:24:17] ppdet.engine INFO: Epoch: [30] [180/523] learning_rate: 0.389987 loss_vfl: 0.915236 loss_bbox: 0.320724 loss_dfl: 0.195678 loss: 1.440351 eta: 3 days, 18:02:42 batch_cost: 2.2378 data_cost: 0.0016 ips: 25.0243 images/s [10/14 09:25:04] ppdet.engine INFO: Epoch: [30] [200/523] learning_rate: 0.389962 loss_vfl: 0.923863 loss_bbox: 0.317593 loss_dfl: 0.194590 loss: 1.435193 eta: 3 days, 18:01:42 batch_cost: 2.2200 data_cost: 0.0066 ips: 25.2256 images/s [10/14 09:25:51] ppdet.engine INFO: Epoch: [30] [220/523] learning_rate: 0.389937 loss_vfl: 0.946063 loss_bbox: 0.313001 loss_dfl: 0.193636 loss: 1.439702 eta: 3 days, 18:00:46 batch_cost: 2.2424 data_cost: 0.0012 ips: 24.9733 images/s [10/14 09:26:38] ppdet.engine INFO: Epoch: [30] [240/523] learning_rate: 0.389912 loss_vfl: 0.930266 loss_bbox: 0.323851 loss_dfl: 0.202798 loss: 1.443284 eta: 3 days, 17:59:54 batch_cost: 2.2657 data_cost: 0.0012 ips: 24.7162 images/s [10/14 09:27:26] ppdet.engine INFO: Epoch: [30] [260/523] learning_rate: 0.389887 loss_vfl: 0.944311 loss_bbox: 0.340042 loss_dfl: 0.206775 loss: 1.483129 eta: 3 days, 17:59:04 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6093 images/s [10/14 09:28:13] ppdet.engine INFO: Epoch: [30] [280/523] learning_rate: 0.389862 loss_vfl: 0.930534 loss_bbox: 0.323946 loss_dfl: 0.203335 loss: 1.444254 eta: 3 days, 17:58:06 batch_cost: 2.2266 data_cost: 0.0012 ips: 25.1509 images/s [10/14 09:29:01] ppdet.engine INFO: Epoch: [30] [300/523] learning_rate: 0.389837 loss_vfl: 0.934036 loss_bbox: 0.325796 loss_dfl: 0.203260 loss: 1.476821 eta: 3 days, 17:57:15 batch_cost: 2.2719 data_cost: 0.0012 ips: 24.6493 images/s [10/14 09:29:47] ppdet.engine INFO: Epoch: [30] [320/523] learning_rate: 0.389811 loss_vfl: 0.935736 loss_bbox: 0.315623 loss_dfl: 0.199220 loss: 1.441416 eta: 3 days, 17:56:17 batch_cost: 2.2276 data_cost: 0.0012 ips: 25.1392 images/s [10/14 09:30:33] ppdet.engine INFO: Epoch: [30] [340/523] learning_rate: 0.389786 loss_vfl: 0.925676 loss_bbox: 0.319455 loss_dfl: 0.203994 loss: 1.435399 eta: 3 days, 17:55:10 batch_cost: 2.1833 data_cost: 0.0012 ips: 25.6498 images/s [10/14 09:31:22] ppdet.engine INFO: Epoch: [30] [360/523] learning_rate: 0.389761 loss_vfl: 0.922479 loss_bbox: 0.340340 loss_dfl: 0.211951 loss: 1.479667 eta: 3 days, 17:54:26 batch_cost: 2.3094 data_cost: 0.0013 ips: 24.2489 images/s [10/14 09:32:10] ppdet.engine INFO: Epoch: [30] [380/523] learning_rate: 0.389736 loss_vfl: 0.932613 loss_bbox: 0.308558 loss_dfl: 0.199432 loss: 1.444286 eta: 3 days, 17:53:41 batch_cost: 2.2984 data_cost: 0.0013 ips: 24.3652 images/s [10/14 09:32:57] ppdet.engine INFO: Epoch: [30] [400/523] learning_rate: 0.389710 loss_vfl: 0.927900 loss_bbox: 0.339907 loss_dfl: 0.203915 loss: 1.475345 eta: 3 days, 17:52:45 batch_cost: 2.2449 data_cost: 0.0012 ips: 24.9454 images/s [10/14 09:33:43] ppdet.engine INFO: Epoch: [30] [420/523] learning_rate: 0.389685 loss_vfl: 0.918859 loss_bbox: 0.345551 loss_dfl: 0.209691 loss: 1.466194 eta: 3 days, 17:51:50 batch_cost: 2.2432 data_cost: 0.0013 ips: 24.9643 images/s [10/14 09:34:30] ppdet.engine INFO: Epoch: [30] [440/523] learning_rate: 0.389659 loss_vfl: 0.924913 loss_bbox: 0.337494 loss_dfl: 0.205262 loss: 1.472081 eta: 3 days, 17:50:53 batch_cost: 2.2381 data_cost: 0.0013 ips: 25.0216 images/s [10/14 09:35:18] ppdet.engine INFO: Epoch: [30] [460/523] learning_rate: 0.389634 loss_vfl: 0.909512 loss_bbox: 0.321269 loss_dfl: 0.204111 loss: 1.422053 eta: 3 days, 17:50:02 batch_cost: 2.2651 data_cost: 0.0013 ips: 24.7227 images/s [10/14 09:36:06] ppdet.engine INFO: Epoch: [30] [480/523] learning_rate: 0.389609 loss_vfl: 0.942750 loss_bbox: 0.318119 loss_dfl: 0.206401 loss: 1.471696 eta: 3 days, 17:49:15 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4056 images/s [10/14 09:36:54] ppdet.engine INFO: Epoch: [30] [500/523] learning_rate: 0.389583 loss_vfl: 0.925347 loss_bbox: 0.322687 loss_dfl: 0.201630 loss: 1.471581 eta: 3 days, 17:48:27 batch_cost: 2.2864 data_cost: 0.0014 ips: 24.4926 images/s [10/14 09:37:36] ppdet.engine INFO: Epoch: [30] [520/523] learning_rate: 0.389558 loss_vfl: 0.921820 loss_bbox: 0.338097 loss_dfl: 0.204612 loss: 1.497268 eta: 3 days, 17:46:51 batch_cost: 2.0072 data_cost: 0.0013 ips: 27.8992 images/s [10/14 09:38:06] ppdet.engine INFO: Epoch: [31] [ 0/523] learning_rate: 0.389554 loss_vfl: 0.918729 loss_bbox: 0.339885 loss_dfl: 0.207988 loss: 1.489750 eta: 3 days, 17:49:30 batch_cost: 2.9633 data_cost: 0.6762 ips: 18.8978 images/s [10/14 09:38:55] ppdet.engine INFO: Epoch: [31] [ 20/523] learning_rate: 0.389528 loss_vfl: 0.919476 loss_bbox: 0.295002 loss_dfl: 0.182517 loss: 1.385074 eta: 3 days, 17:48:45 batch_cost: 2.3027 data_cost: 0.0013 ips: 24.3189 images/s [10/14 09:39:43] ppdet.engine INFO: Epoch: [31] 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loss_bbox: 0.336502 loss_dfl: 0.204424 loss: 1.444478 eta: 3 days, 17:44:17 batch_cost: 2.2536 data_cost: 0.0014 ips: 24.8493 images/s [10/14 09:43:38] ppdet.engine INFO: Epoch: [31] [140/523] learning_rate: 0.389374 loss_vfl: 0.939207 loss_bbox: 0.302564 loss_dfl: 0.196379 loss: 1.428987 eta: 3 days, 17:43:12 batch_cost: 2.1872 data_cost: 0.0014 ips: 25.6032 images/s [10/14 09:44:25] ppdet.engine INFO: Epoch: [31] [160/523] learning_rate: 0.389348 loss_vfl: 0.925928 loss_bbox: 0.332749 loss_dfl: 0.204153 loss: 1.461750 eta: 3 days, 17:42:15 batch_cost: 2.2310 data_cost: 0.0013 ips: 25.1014 images/s [10/14 09:45:12] ppdet.engine INFO: Epoch: [31] [180/523] learning_rate: 0.389323 loss_vfl: 0.914597 loss_bbox: 0.346121 loss_dfl: 0.210004 loss: 1.451993 eta: 3 days, 17:41:23 batch_cost: 2.2633 data_cost: 0.0013 ips: 24.7430 images/s [10/14 09:45:59] ppdet.engine INFO: Epoch: [31] [200/523] learning_rate: 0.389297 loss_vfl: 0.941050 loss_bbox: 0.311900 loss_dfl: 0.197482 loss: 1.458761 eta: 3 days, 17:40:27 batch_cost: 2.2366 data_cost: 0.0013 ips: 25.0376 images/s [10/14 09:46:47] ppdet.engine INFO: Epoch: [31] [220/523] learning_rate: 0.389271 loss_vfl: 0.940471 loss_bbox: 0.293954 loss_dfl: 0.188245 loss: 1.427591 eta: 3 days, 17:39:36 batch_cost: 2.2724 data_cost: 0.0012 ips: 24.6432 images/s [10/14 09:47:34] ppdet.engine INFO: Epoch: [31] [240/523] learning_rate: 0.389245 loss_vfl: 0.915904 loss_bbox: 0.332502 loss_dfl: 0.201989 loss: 1.450711 eta: 3 days, 17:38:41 batch_cost: 2.2465 data_cost: 0.0013 ips: 24.9281 images/s [10/14 09:48:21] ppdet.engine INFO: Epoch: [31] [260/523] learning_rate: 0.389219 loss_vfl: 0.925024 loss_bbox: 0.306588 loss_dfl: 0.197674 loss: 1.433229 eta: 3 days, 17:37:45 batch_cost: 2.2336 data_cost: 0.0013 ips: 25.0711 images/s [10/14 09:49:07] ppdet.engine INFO: Epoch: [31] [280/523] learning_rate: 0.389193 loss_vfl: 0.924781 loss_bbox: 0.334873 loss_dfl: 0.202957 loss: 1.446309 eta: 3 days, 17:36:39 batch_cost: 2.1849 data_cost: 0.0012 ips: 25.6304 images/s [10/14 09:49:54] ppdet.engine INFO: Epoch: [31] [300/523] learning_rate: 0.389167 loss_vfl: 0.910935 loss_bbox: 0.327889 loss_dfl: 0.206738 loss: 1.450888 eta: 3 days, 17:35:40 batch_cost: 2.2208 data_cost: 0.0013 ips: 25.2156 images/s [10/14 09:50:41] ppdet.engine INFO: Epoch: [31] [320/523] learning_rate: 0.389141 loss_vfl: 0.913977 loss_bbox: 0.332352 loss_dfl: 0.202861 loss: 1.453578 eta: 3 days, 17:34:48 batch_cost: 2.2613 data_cost: 0.0013 ips: 24.7648 images/s [10/14 09:51:29] ppdet.engine INFO: Epoch: [31] [340/523] learning_rate: 0.389115 loss_vfl: 0.936364 loss_bbox: 0.310802 loss_dfl: 0.198139 loss: 1.461838 eta: 3 days, 17:33:58 batch_cost: 2.2725 data_cost: 0.0012 ips: 24.6420 images/s [10/14 09:52:17] ppdet.engine INFO: Epoch: [31] [360/523] learning_rate: 0.389089 loss_vfl: 0.944192 loss_bbox: 0.333424 loss_dfl: 0.207539 loss: 1.462264 eta: 3 days, 17:33:19 batch_cost: 2.3358 data_cost: 0.0012 ips: 23.9746 images/s [10/14 09:53:06] ppdet.engine INFO: Epoch: [31] [380/523] learning_rate: 0.389063 loss_vfl: 0.928955 loss_bbox: 0.306861 loss_dfl: 0.195825 loss: 1.436266 eta: 3 days, 17:32:33 batch_cost: 2.3020 data_cost: 0.0013 ips: 24.3262 images/s [10/14 09:53:52] ppdet.engine INFO: Epoch: [31] [400/523] learning_rate: 0.389037 loss_vfl: 0.928083 loss_bbox: 0.297900 loss_dfl: 0.192198 loss: 1.430343 eta: 3 days, 17:31:28 batch_cost: 2.1843 data_cost: 0.0013 ips: 25.6373 images/s [10/14 09:54:37] ppdet.engine INFO: Epoch: [31] [420/523] learning_rate: 0.389011 loss_vfl: 0.948563 loss_bbox: 0.304940 loss_dfl: 0.189055 loss: 1.467992 eta: 3 days, 17:30:23 batch_cost: 2.1840 data_cost: 0.0012 ips: 25.6406 images/s [10/14 09:55:24] ppdet.engine INFO: Epoch: [31] [440/523] learning_rate: 0.388984 loss_vfl: 0.923933 loss_bbox: 0.335477 loss_dfl: 0.202515 loss: 1.461216 eta: 3 days, 17:29:25 batch_cost: 2.2252 data_cost: 0.0012 ips: 25.1659 images/s [10/14 09:56:11] ppdet.engine INFO: Epoch: [31] [460/523] learning_rate: 0.388958 loss_vfl: 0.910100 loss_bbox: 0.317668 loss_dfl: 0.200387 loss: 1.437379 eta: 3 days, 17:28:32 batch_cost: 2.2517 data_cost: 0.0012 ips: 24.8697 images/s [10/14 09:56:58] ppdet.engine INFO: Epoch: [31] [480/523] learning_rate: 0.388932 loss_vfl: 0.939454 loss_bbox: 0.306016 loss_dfl: 0.197295 loss: 1.420892 eta: 3 days, 17:27:30 batch_cost: 2.2006 data_cost: 0.0013 ips: 25.4472 images/s [10/14 09:57:45] ppdet.engine INFO: Epoch: [31] [500/523] learning_rate: 0.388906 loss_vfl: 0.927044 loss_bbox: 0.320270 loss_dfl: 0.197168 loss: 1.441974 eta: 3 days, 17:26:31 batch_cost: 2.2238 data_cost: 0.0012 ips: 25.1816 images/s [10/14 09:58:28] ppdet.engine INFO: Epoch: [31] [520/523] learning_rate: 0.388879 loss_vfl: 0.941829 loss_bbox: 0.296018 loss_dfl: 0.188860 loss: 1.443256 eta: 3 days, 17:25:03 batch_cost: 2.0424 data_cost: 0.0012 ips: 27.4193 images/s [10/14 09:58:57] ppdet.engine INFO: Epoch: [32] [ 0/523] learning_rate: 0.388875 loss_vfl: 0.933864 loss_bbox: 0.297331 loss_dfl: 0.192226 loss: 1.443256 eta: 3 days, 17:27:29 batch_cost: 2.9667 data_cost: 0.4886 ips: 18.8761 images/s [10/14 09:59:45] ppdet.engine INFO: Epoch: [32] [ 20/523] learning_rate: 0.388849 loss_vfl: 0.922020 loss_bbox: 0.293547 loss_dfl: 0.196102 loss: 1.431281 eta: 3 days, 17:26:40 batch_cost: 2.2826 data_cost: 0.0013 ips: 24.5336 images/s [10/14 10:00:35] ppdet.engine INFO: Epoch: [32] [ 40/523] learning_rate: 0.388823 loss_vfl: 0.934969 loss_bbox: 0.316698 loss_dfl: 0.206057 loss: 1.461867 eta: 3 days, 17:25:58 batch_cost: 2.3221 data_cost: 0.0013 ips: 24.1164 images/s [10/14 10:01:22] ppdet.engine INFO: Epoch: [32] [ 60/523] learning_rate: 0.388796 loss_vfl: 0.922853 loss_bbox: 0.313119 loss_dfl: 0.199054 loss: 1.434539 eta: 3 days, 17:25:04 batch_cost: 2.2472 data_cost: 0.0012 ips: 24.9200 images/s [10/14 10:02:09] ppdet.engine INFO: Epoch: [32] [ 80/523] learning_rate: 0.388770 loss_vfl: 0.912885 loss_bbox: 0.323917 loss_dfl: 0.196477 loss: 1.422690 eta: 3 days, 17:24:08 batch_cost: 2.2352 data_cost: 0.0012 ips: 25.0532 images/s [10/14 10:02:57] ppdet.engine INFO: Epoch: [32] [100/523] learning_rate: 0.388743 loss_vfl: 0.911209 loss_bbox: 0.304238 loss_dfl: 0.189893 loss: 1.421553 eta: 3 days, 17:23:22 batch_cost: 2.3009 data_cost: 0.0013 ips: 24.3380 images/s [10/14 10:03:46] ppdet.engine INFO: Epoch: [32] [120/523] learning_rate: 0.388717 loss_vfl: 0.920435 loss_bbox: 0.316448 loss_dfl: 0.201416 loss: 1.444843 eta: 3 days, 17:22:37 batch_cost: 2.3035 data_cost: 0.0013 ips: 24.3109 images/s [10/14 10:04:34] ppdet.engine INFO: Epoch: [32] [140/523] learning_rate: 0.388690 loss_vfl: 0.933670 loss_bbox: 0.308773 loss_dfl: 0.196541 loss: 1.451827 eta: 3 days, 17:21:50 batch_cost: 2.2922 data_cost: 0.0012 ips: 24.4304 images/s [10/14 10:05:21] ppdet.engine INFO: Epoch: [32] [160/523] learning_rate: 0.388664 loss_vfl: 0.925808 loss_bbox: 0.319199 loss_dfl: 0.201705 loss: 1.462713 eta: 3 days, 17:20:59 batch_cost: 2.2638 data_cost: 0.0013 ips: 24.7376 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[260/523] learning_rate: 0.388530 loss_vfl: 0.924099 loss_bbox: 0.326918 loss_dfl: 0.203013 loss: 1.452636 eta: 3 days, 17:16:11 batch_cost: 2.2086 data_cost: 0.0012 ips: 25.3559 images/s [10/14 10:10:02] ppdet.engine INFO: Epoch: [32] [280/523] learning_rate: 0.388504 loss_vfl: 0.919080 loss_bbox: 0.314607 loss_dfl: 0.201534 loss: 1.439271 eta: 3 days, 17:15:13 batch_cost: 2.2243 data_cost: 0.0013 ips: 25.1769 images/s [10/14 10:10:51] ppdet.engine INFO: Epoch: [32] [300/523] learning_rate: 0.388477 loss_vfl: 0.927390 loss_bbox: 0.314338 loss_dfl: 0.193961 loss: 1.424026 eta: 3 days, 17:14:35 batch_cost: 2.3452 data_cost: 0.0013 ips: 23.8788 images/s [10/14 10:11:39] ppdet.engine INFO: Epoch: [32] [320/523] learning_rate: 0.388450 loss_vfl: 0.932710 loss_bbox: 0.320442 loss_dfl: 0.199163 loss: 1.448447 eta: 3 days, 17:13:44 batch_cost: 2.2640 data_cost: 0.0013 ips: 24.7351 images/s [10/14 10:12:26] ppdet.engine INFO: Epoch: [32] [340/523] learning_rate: 0.388423 loss_vfl: 0.923120 loss_bbox: 0.321332 loss_dfl: 0.196636 loss: 1.438877 eta: 3 days, 17:12:40 batch_cost: 2.1895 data_cost: 0.0015 ips: 25.5761 images/s [10/14 10:13:12] ppdet.engine INFO: Epoch: [32] [360/523] learning_rate: 0.388396 loss_vfl: 0.923430 loss_bbox: 0.324493 loss_dfl: 0.206968 loss: 1.459925 eta: 3 days, 17:11:44 batch_cost: 2.2328 data_cost: 0.0014 ips: 25.0809 images/s [10/14 10:14:00] ppdet.engine INFO: Epoch: [32] [380/523] learning_rate: 0.388369 loss_vfl: 0.915365 loss_bbox: 0.350331 loss_dfl: 0.213636 loss: 1.480047 eta: 3 days, 17:10:52 batch_cost: 2.2610 data_cost: 0.0013 ips: 24.7680 images/s [10/14 10:14:47] ppdet.engine INFO: Epoch: [32] [400/523] learning_rate: 0.388342 loss_vfl: 0.923773 loss_bbox: 0.339186 loss_dfl: 0.207323 loss: 1.471620 eta: 3 days, 17:09:59 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8558 images/s [10/14 10:15:35] ppdet.engine INFO: Epoch: [32] [420/523] learning_rate: 0.388315 loss_vfl: 0.914134 loss_bbox: 0.324523 loss_dfl: 0.201957 loss: 1.442177 eta: 3 days, 17:09:10 batch_cost: 2.2809 data_cost: 0.0013 ips: 24.5519 images/s [10/14 10:16:22] ppdet.engine INFO: Epoch: [32] [440/523] learning_rate: 0.388288 loss_vfl: 0.923663 loss_bbox: 0.314138 loss_dfl: 0.191751 loss: 1.421303 eta: 3 days, 17:08:19 batch_cost: 2.2661 data_cost: 0.0021 ips: 24.7121 images/s [10/14 10:17:10] ppdet.engine INFO: Epoch: [32] [460/523] learning_rate: 0.388261 loss_vfl: 0.940109 loss_bbox: 0.323244 loss_dfl: 0.199393 loss: 1.467046 eta: 3 days, 17:07:29 batch_cost: 2.2702 data_cost: 0.0012 ips: 24.6678 images/s [10/14 10:17:58] ppdet.engine INFO: Epoch: [32] [480/523] learning_rate: 0.388234 loss_vfl: 0.931304 loss_bbox: 0.335096 loss_dfl: 0.207420 loss: 1.474843 eta: 3 days, 17:06:40 batch_cost: 2.2745 data_cost: 0.0020 ips: 24.6203 images/s [10/14 10:18:45] ppdet.engine INFO: Epoch: [32] [500/523] learning_rate: 0.388207 loss_vfl: 0.923103 loss_bbox: 0.317792 loss_dfl: 0.196328 loss: 1.441643 eta: 3 days, 17:05:45 batch_cost: 2.2458 data_cost: 0.0012 ips: 24.9352 images/s [10/14 10:19:28] ppdet.engine INFO: Epoch: [32] [520/523] learning_rate: 0.388180 loss_vfl: 0.935162 loss_bbox: 0.323596 loss_dfl: 0.204048 loss: 1.467678 eta: 3 days, 17:04:18 batch_cost: 2.0421 data_cost: 0.0013 ips: 27.4226 images/s [10/14 10:19:54] ppdet.engine INFO: Epoch: [33] [ 0/523] learning_rate: 0.388176 loss_vfl: 0.937105 loss_bbox: 0.313998 loss_dfl: 0.201996 loss: 1.471425 eta: 3 days, 17:06:13 batch_cost: 2.8004 data_cost: 0.3888 ips: 19.9969 images/s [10/14 10:20:44] ppdet.engine INFO: Epoch: [33] [ 20/523] learning_rate: 0.388149 loss_vfl: 0.905879 loss_bbox: 0.292396 loss_dfl: 0.183496 loss: 1.397007 eta: 3 days, 17:05:36 batch_cost: 2.3484 data_cost: 0.0020 ips: 23.8462 images/s [10/14 10:21:32] ppdet.engine INFO: Epoch: [33] [ 40/523] learning_rate: 0.388122 loss_vfl: 0.928135 loss_bbox: 0.335529 loss_dfl: 0.206159 loss: 1.448221 eta: 3 days, 17:04:52 batch_cost: 2.3122 data_cost: 0.0013 ips: 24.2198 images/s [10/14 10:22:19] ppdet.engine INFO: Epoch: [33] [ 60/523] learning_rate: 0.388095 loss_vfl: 0.918416 loss_bbox: 0.307289 loss_dfl: 0.199493 loss: 1.431775 eta: 3 days, 17:03:53 batch_cost: 2.2118 data_cost: 0.0012 ips: 25.3183 images/s [10/14 10:23:07] ppdet.engine INFO: Epoch: [33] [ 80/523] learning_rate: 0.388067 loss_vfl: 0.929512 loss_bbox: 0.322322 loss_dfl: 0.201178 loss: 1.477344 eta: 3 days, 17:03:06 batch_cost: 2.2966 data_cost: 0.0012 ips: 24.3841 images/s [10/14 10:23:56] ppdet.engine INFO: Epoch: [33] [100/523] learning_rate: 0.388040 loss_vfl: 0.938597 loss_bbox: 0.301848 loss_dfl: 0.191907 loss: 1.447482 eta: 3 days, 17:02:24 batch_cost: 2.3166 data_cost: 0.0012 ips: 24.1736 images/s [10/14 10:24:44] ppdet.engine INFO: Epoch: [33] [120/523] learning_rate: 0.388013 loss_vfl: 0.923680 loss_bbox: 0.306301 loss_dfl: 0.194197 loss: 1.438373 eta: 3 days, 17:01:40 batch_cost: 2.3115 data_cost: 0.0012 ips: 24.2266 images/s [10/14 10:25:32] ppdet.engine INFO: Epoch: [33] [140/523] learning_rate: 0.387986 loss_vfl: 0.904751 loss_bbox: 0.335993 loss_dfl: 0.201422 loss: 1.421673 eta: 3 days, 17:00:55 batch_cost: 2.3045 data_cost: 0.0063 ips: 24.3004 images/s [10/14 10:26:20] ppdet.engine INFO: Epoch: [33] [160/523] learning_rate: 0.387958 loss_vfl: 0.943462 loss_bbox: 0.305889 loss_dfl: 0.198309 loss: 1.453046 eta: 3 days, 17:00:11 batch_cost: 2.3091 data_cost: 0.0012 ips: 24.2518 images/s [10/14 10:27:10] ppdet.engine INFO: Epoch: [33] [180/523] learning_rate: 0.387931 loss_vfl: 0.925443 loss_bbox: 0.304867 loss_dfl: 0.195404 loss: 1.426219 eta: 3 days, 16:59:35 batch_cost: 2.3599 data_cost: 0.0012 ips: 23.7296 images/s [10/14 10:27:59] ppdet.engine INFO: Epoch: [33] [200/523] learning_rate: 0.387903 loss_vfl: 0.919791 loss_bbox: 0.333147 loss_dfl: 0.214725 loss: 1.477652 eta: 3 days, 16:58:56 batch_cost: 2.3415 data_cost: 0.0012 ips: 23.9161 images/s [10/14 10:28:46] ppdet.engine INFO: Epoch: [33] [220/523] learning_rate: 0.387876 loss_vfl: 0.934822 loss_bbox: 0.323966 loss_dfl: 0.198620 loss: 1.455438 eta: 3 days, 16:58:05 batch_cost: 2.2629 data_cost: 0.0012 ips: 24.7469 images/s [10/14 10:29:35] ppdet.engine INFO: Epoch: [33] [240/523] learning_rate: 0.387848 loss_vfl: 0.928165 loss_bbox: 0.329757 loss_dfl: 0.199993 loss: 1.460498 eta: 3 days, 16:57:25 batch_cost: 2.3316 data_cost: 0.0013 ips: 24.0176 images/s [10/14 10:30:23] ppdet.engine INFO: Epoch: [33] [260/523] learning_rate: 0.387821 loss_vfl: 0.938390 loss_bbox: 0.301459 loss_dfl: 0.195588 loss: 1.457009 eta: 3 days, 16:56:39 batch_cost: 2.2973 data_cost: 0.0013 ips: 24.3764 images/s [10/14 10:31:11] ppdet.engine INFO: Epoch: [33] [280/523] learning_rate: 0.387793 loss_vfl: 0.945264 loss_bbox: 0.328713 loss_dfl: 0.199166 loss: 1.460493 eta: 3 days, 16:55:50 batch_cost: 2.2788 data_cost: 0.0013 ips: 24.5742 images/s [10/14 10:31:59] ppdet.engine INFO: Epoch: [33] [300/523] learning_rate: 0.387766 loss_vfl: 0.912690 loss_bbox: 0.334671 loss_dfl: 0.202719 loss: 1.479748 eta: 3 days, 16:54:59 batch_cost: 2.2665 data_cost: 0.0020 ips: 24.7081 images/s [10/14 10:32:45] ppdet.engine INFO: Epoch: [33] [320/523] learning_rate: 0.387738 loss_vfl: 0.924443 loss_bbox: 0.322980 loss_dfl: 0.199517 loss: 1.456087 eta: 3 days, 16:54:00 batch_cost: 2.2145 data_cost: 0.0012 ips: 25.2876 images/s [10/14 10:33:33] ppdet.engine INFO: Epoch: [33] [340/523] learning_rate: 0.387711 loss_vfl: 0.916247 loss_bbox: 0.313072 loss_dfl: 0.193577 loss: 1.427403 eta: 3 days, 16:53:09 batch_cost: 2.2634 data_cost: 0.0013 ips: 24.7421 images/s [10/14 10:34:19] ppdet.engine INFO: Epoch: [33] [360/523] learning_rate: 0.387683 loss_vfl: 0.922597 loss_bbox: 0.330305 loss_dfl: 0.204531 loss: 1.467671 eta: 3 days, 16:52:07 batch_cost: 2.2006 data_cost: 0.0013 ips: 25.4481 images/s [10/14 10:35:06] ppdet.engine INFO: Epoch: [33] [380/523] learning_rate: 0.387655 loss_vfl: 0.930117 loss_bbox: 0.328545 loss_dfl: 0.204708 loss: 1.464418 eta: 3 days, 16:51:16 batch_cost: 2.2618 data_cost: 0.0013 ips: 24.7595 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loss_bbox: 0.317649 loss_dfl: 0.200267 loss: 1.448332 eta: 3 days, 16:46:40 batch_cost: 2.5472 data_cost: 0.0014 ips: 21.9847 images/s [10/14 10:42:44] ppdet.engine INFO: Epoch: [34] [ 40/523] learning_rate: 0.387401 loss_vfl: 0.908509 loss_bbox: 0.320033 loss_dfl: 0.198890 loss: 1.447598 eta: 3 days, 16:46:03 batch_cost: 2.3542 data_cost: 0.0012 ips: 23.7871 images/s [10/14 10:43:31] ppdet.engine INFO: Epoch: [34] [ 60/523] learning_rate: 0.387373 loss_vfl: 0.922055 loss_bbox: 0.310538 loss_dfl: 0.197520 loss: 1.434669 eta: 3 days, 16:45:08 batch_cost: 2.2352 data_cost: 0.0013 ips: 25.0541 images/s [10/14 10:44:18] ppdet.engine INFO: Epoch: [34] [ 80/523] learning_rate: 0.387344 loss_vfl: 0.936721 loss_bbox: 0.309340 loss_dfl: 0.189707 loss: 1.420988 eta: 3 days, 16:44:16 batch_cost: 2.2599 data_cost: 0.0012 ips: 24.7795 images/s [10/14 10:45:06] ppdet.engine INFO: Epoch: [34] [100/523] learning_rate: 0.387316 loss_vfl: 0.923211 loss_bbox: 0.307512 loss_dfl: 0.196145 loss: 1.431167 eta: 3 days, 16:43:32 batch_cost: 2.3127 data_cost: 0.0013 ips: 24.2140 images/s [10/14 10:45:54] ppdet.engine INFO: Epoch: [34] [120/523] learning_rate: 0.387288 loss_vfl: 0.910079 loss_bbox: 0.326327 loss_dfl: 0.203896 loss: 1.462838 eta: 3 days, 16:42:45 batch_cost: 2.2879 data_cost: 0.0013 ips: 24.4763 images/s [10/14 10:46:42] ppdet.engine INFO: Epoch: [34] [140/523] learning_rate: 0.387260 loss_vfl: 0.905465 loss_bbox: 0.324157 loss_dfl: 0.192890 loss: 1.442319 eta: 3 days, 16:42:00 batch_cost: 2.3065 data_cost: 0.0013 ips: 24.2792 images/s [10/14 10:47:30] ppdet.engine INFO: Epoch: [34] [160/523] learning_rate: 0.387232 loss_vfl: 0.929194 loss_bbox: 0.294823 loss_dfl: 0.191223 loss: 1.413463 eta: 3 days, 16:41:05 batch_cost: 2.2402 data_cost: 0.0013 ips: 24.9980 images/s [10/14 10:48:16] ppdet.engine INFO: Epoch: [34] [180/523] learning_rate: 0.387204 loss_vfl: 0.911141 loss_bbox: 0.329808 loss_dfl: 0.199522 loss: 1.436415 eta: 3 days, 16:40:08 batch_cost: 2.2264 data_cost: 0.0012 ips: 25.1526 images/s [10/14 10:49:03] ppdet.engine INFO: Epoch: [34] [200/523] learning_rate: 0.387176 loss_vfl: 0.938368 loss_bbox: 0.305504 loss_dfl: 0.193709 loss: 1.428898 eta: 3 days, 16:39:13 batch_cost: 2.2353 data_cost: 0.0012 ips: 25.0521 images/s [10/14 10:49:50] ppdet.engine INFO: Epoch: [34] [220/523] learning_rate: 0.387147 loss_vfl: 0.927118 loss_bbox: 0.326335 loss_dfl: 0.199029 loss: 1.460914 eta: 3 days, 16:38:20 batch_cost: 2.2551 data_cost: 0.0021 ips: 24.8331 images/s [10/14 10:50:39] ppdet.engine INFO: Epoch: [34] [240/523] learning_rate: 0.387119 loss_vfl: 0.912001 loss_bbox: 0.328893 loss_dfl: 0.204663 loss: 1.453837 eta: 3 days, 16:37:38 batch_cost: 2.3178 data_cost: 0.0012 ips: 24.1605 images/s [10/14 10:51:27] ppdet.engine INFO: Epoch: [34] [260/523] learning_rate: 0.387091 loss_vfl: 0.927670 loss_bbox: 0.306978 loss_dfl: 0.195355 loss: 1.426846 eta: 3 days, 16:36:55 batch_cost: 2.3221 data_cost: 0.0013 ips: 24.1165 images/s [10/14 10:52:16] ppdet.engine INFO: Epoch: [34] [280/523] learning_rate: 0.387063 loss_vfl: 0.930632 loss_bbox: 0.322966 loss_dfl: 0.203314 loss: 1.457467 eta: 3 days, 16:36:13 batch_cost: 2.3184 data_cost: 0.0013 ips: 24.1548 images/s [10/14 10:53:03] ppdet.engine INFO: Epoch: [34] [300/523] learning_rate: 0.387034 loss_vfl: 0.941297 loss_bbox: 0.320098 loss_dfl: 0.198523 loss: 1.464998 eta: 3 days, 16:35:19 batch_cost: 2.2454 data_cost: 0.0012 ips: 24.9403 images/s [10/14 10:53:50] ppdet.engine INFO: Epoch: [34] [320/523] learning_rate: 0.387006 loss_vfl: 0.923609 loss_bbox: 0.305819 loss_dfl: 0.197162 loss: 1.443714 eta: 3 days, 16:34:25 batch_cost: 2.2481 data_cost: 0.0013 ips: 24.9101 images/s [10/14 10:54:38] ppdet.engine INFO: Epoch: [34] [340/523] learning_rate: 0.386977 loss_vfl: 0.939194 loss_bbox: 0.332430 loss_dfl: 0.205047 loss: 1.474761 eta: 3 days, 16:33:36 batch_cost: 2.2774 data_cost: 0.0013 ips: 24.5898 images/s [10/14 10:55:25] ppdet.engine INFO: Epoch: [34] [360/523] learning_rate: 0.386949 loss_vfl: 0.932315 loss_bbox: 0.318740 loss_dfl: 0.200170 loss: 1.438337 eta: 3 days, 16:32:41 batch_cost: 2.2368 data_cost: 0.0013 ips: 25.0360 images/s [10/14 10:56:12] ppdet.engine INFO: Epoch: [34] [380/523] learning_rate: 0.386921 loss_vfl: 0.932648 loss_bbox: 0.312505 loss_dfl: 0.197642 loss: 1.458815 eta: 3 days, 16:31:48 batch_cost: 2.2531 data_cost: 0.0012 ips: 24.8550 images/s [10/14 10:57:00] ppdet.engine INFO: Epoch: [34] [400/523] learning_rate: 0.386892 loss_vfl: 0.936333 loss_bbox: 0.293512 loss_dfl: 0.182967 loss: 1.427768 eta: 3 days, 16:31:01 batch_cost: 2.2852 data_cost: 0.0013 ips: 24.5056 images/s [10/14 10:57:48] ppdet.engine INFO: Epoch: [34] [420/523] learning_rate: 0.386864 loss_vfl: 0.923022 loss_bbox: 0.322777 loss_dfl: 0.207414 loss: 1.449933 eta: 3 days, 16:30:11 batch_cost: 2.2770 data_cost: 0.0016 ips: 24.5940 images/s [10/14 10:58:35] ppdet.engine INFO: Epoch: [34] [440/523] learning_rate: 0.386835 loss_vfl: 0.937178 loss_bbox: 0.328070 loss_dfl: 0.201971 loss: 1.470080 eta: 3 days, 16:29:24 batch_cost: 2.2857 data_cost: 0.0013 ips: 24.5004 images/s [10/14 10:59:24] ppdet.engine INFO: Epoch: [34] [460/523] learning_rate: 0.386806 loss_vfl: 0.928567 loss_bbox: 0.322120 loss_dfl: 0.203052 loss: 1.476077 eta: 3 days, 16:28:40 batch_cost: 2.3108 data_cost: 0.0012 ips: 24.2343 images/s [10/14 11:00:12] ppdet.engine INFO: Epoch: [34] [480/523] learning_rate: 0.386778 loss_vfl: 0.911924 loss_bbox: 0.306270 loss_dfl: 0.193819 loss: 1.424806 eta: 3 days, 16:27:56 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2305 images/s [10/14 11:01:00] ppdet.engine INFO: Epoch: [34] [500/523] learning_rate: 0.386749 loss_vfl: 0.923628 loss_bbox: 0.309931 loss_dfl: 0.196940 loss: 1.429696 eta: 3 days, 16:27:06 batch_cost: 2.2692 data_cost: 0.0012 ips: 24.6782 images/s [10/14 11:01:41] ppdet.engine INFO: Epoch: [34] [520/523] learning_rate: 0.386720 loss_vfl: 0.922210 loss_bbox: 0.320135 loss_dfl: 0.201526 loss: 1.433187 eta: 3 days, 16:25:30 batch_cost: 1.9655 data_cost: 0.0012 ips: 28.4912 images/s [10/14 11:02:11] ppdet.engine INFO: Epoch: [35] [ 0/523] learning_rate: 0.386716 loss_vfl: 0.922210 loss_bbox: 0.317198 loss_dfl: 0.201526 loss: 1.430842 eta: 3 days, 16:27:44 batch_cost: 2.9189 data_cost: 0.2922 ips: 19.1856 images/s [10/14 11:03:04] ppdet.engine INFO: Epoch: [35] [ 20/523] learning_rate: 0.386687 loss_vfl: 0.914931 loss_bbox: 0.320369 loss_dfl: 0.205750 loss: 1.447031 eta: 3 days, 16:27:34 batch_cost: 2.5295 data_cost: 0.0012 ips: 22.1391 images/s [10/14 11:03:52] ppdet.engine INFO: Epoch: [35] [ 40/523] learning_rate: 0.386659 loss_vfl: 0.909640 loss_bbox: 0.327368 loss_dfl: 0.211212 loss: 1.447281 eta: 3 days, 16:26:52 batch_cost: 2.3268 data_cost: 0.0015 ips: 24.0676 images/s [10/14 11:04:40] ppdet.engine INFO: Epoch: [35] [ 60/523] learning_rate: 0.386630 loss_vfl: 0.906014 loss_bbox: 0.307940 loss_dfl: 0.193754 loss: 1.406558 eta: 3 days, 16:25:58 batch_cost: 2.2470 data_cost: 0.0012 ips: 24.9225 images/s [10/14 11:05:29] ppdet.engine INFO: Epoch: [35] [ 80/523] learning_rate: 0.386601 loss_vfl: 0.920242 loss_bbox: 0.325737 loss_dfl: 0.196470 loss: 1.427774 eta: 3 days, 16:25:15 batch_cost: 2.3147 data_cost: 0.0012 ips: 24.1927 images/s [10/14 11:06:17] ppdet.engine INFO: Epoch: [35] [100/523] learning_rate: 0.386572 loss_vfl: 0.939013 loss_bbox: 0.307271 loss_dfl: 0.201793 loss: 1.458177 eta: 3 days, 16:24:27 batch_cost: 2.2868 data_cost: 0.0012 ips: 24.4883 images/s [10/14 11:07:04] ppdet.engine INFO: Epoch: [35] [120/523] learning_rate: 0.386543 loss_vfl: 0.936314 loss_bbox: 0.324794 loss_dfl: 0.204011 loss: 1.457419 eta: 3 days, 16:23:33 batch_cost: 2.2432 data_cost: 0.0012 ips: 24.9648 images/s [10/14 11:07:51] ppdet.engine INFO: Epoch: [35] [140/523] learning_rate: 0.386514 loss_vfl: 0.898579 loss_bbox: 0.312620 loss_dfl: 0.198500 loss: 1.421756 eta: 3 days, 16:22:40 batch_cost: 2.2516 data_cost: 0.0013 ips: 24.8714 images/s [10/14 11:08:38] ppdet.engine INFO: Epoch: [35] 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loss_bbox: 0.322546 loss_dfl: 0.201332 loss: 1.478189 eta: 3 days, 16:18:26 batch_cost: 2.2616 data_cost: 0.0012 ips: 24.7609 images/s [10/14 11:12:36] ppdet.engine INFO: Epoch: [35] [260/523] learning_rate: 0.386340 loss_vfl: 0.894332 loss_bbox: 0.327040 loss_dfl: 0.202688 loss: 1.421347 eta: 3 days, 16:17:37 batch_cost: 2.2769 data_cost: 0.0015 ips: 24.5944 images/s [10/14 11:13:24] ppdet.engine INFO: Epoch: [35] [280/523] learning_rate: 0.386311 loss_vfl: 0.936094 loss_bbox: 0.310001 loss_dfl: 0.197038 loss: 1.415406 eta: 3 days, 16:16:52 batch_cost: 2.3035 data_cost: 0.0013 ips: 24.3113 images/s [10/14 11:14:11] ppdet.engine INFO: Epoch: [35] [300/523] learning_rate: 0.386282 loss_vfl: 0.926743 loss_bbox: 0.335102 loss_dfl: 0.205838 loss: 1.479971 eta: 3 days, 16:15:58 batch_cost: 2.2458 data_cost: 0.0013 ips: 24.9350 images/s [10/14 11:14:59] ppdet.engine INFO: Epoch: [35] [320/523] learning_rate: 0.386253 loss_vfl: 0.927370 loss_bbox: 0.320322 loss_dfl: 0.202678 loss: 1.439056 eta: 3 days, 16:15:10 batch_cost: 2.2862 data_cost: 0.0013 ips: 24.4945 images/s [10/14 11:15:47] ppdet.engine INFO: Epoch: [35] [340/523] learning_rate: 0.386224 loss_vfl: 0.932941 loss_bbox: 0.317737 loss_dfl: 0.200861 loss: 1.461534 eta: 3 days, 16:14:25 batch_cost: 2.2995 data_cost: 0.0013 ips: 24.3530 images/s [10/14 11:16:34] ppdet.engine INFO: Epoch: [35] [360/523] learning_rate: 0.386195 loss_vfl: 0.919327 loss_bbox: 0.319801 loss_dfl: 0.206589 loss: 1.465097 eta: 3 days, 16:13:28 batch_cost: 2.2268 data_cost: 0.0012 ips: 25.1481 images/s [10/14 11:17:20] ppdet.engine INFO: Epoch: [35] [380/523] learning_rate: 0.386165 loss_vfl: 0.918545 loss_bbox: 0.322633 loss_dfl: 0.199116 loss: 1.439593 eta: 3 days, 16:12:26 batch_cost: 2.1848 data_cost: 0.0012 ips: 25.6317 images/s [10/14 11:18:08] ppdet.engine INFO: Epoch: [35] [400/523] learning_rate: 0.386136 loss_vfl: 0.908380 loss_bbox: 0.327725 loss_dfl: 0.198884 loss: 1.439663 eta: 3 days, 16:11:41 batch_cost: 2.3026 data_cost: 0.0012 ips: 24.3199 images/s [10/14 11:18:56] ppdet.engine INFO: Epoch: [35] [420/523] learning_rate: 0.386107 loss_vfl: 0.936796 loss_bbox: 0.309758 loss_dfl: 0.197218 loss: 1.436548 eta: 3 days, 16:10:52 batch_cost: 2.2827 data_cost: 0.0016 ips: 24.5326 images/s [10/14 11:19:44] ppdet.engine INFO: Epoch: [35] [440/523] learning_rate: 0.386077 loss_vfl: 0.930523 loss_bbox: 0.315406 loss_dfl: 0.194684 loss: 1.465810 eta: 3 days, 16:09:58 batch_cost: 2.2417 data_cost: 0.0012 ips: 24.9812 images/s [10/14 11:20:31] ppdet.engine INFO: Epoch: [35] [460/523] learning_rate: 0.386048 loss_vfl: 0.924345 loss_bbox: 0.313269 loss_dfl: 0.193484 loss: 1.421085 eta: 3 days, 16:09:09 batch_cost: 2.2725 data_cost: 0.0013 ips: 24.6422 images/s [10/14 11:21:19] ppdet.engine INFO: Epoch: [35] [480/523] learning_rate: 0.386019 loss_vfl: 0.908029 loss_bbox: 0.345168 loss_dfl: 0.211861 loss: 1.464103 eta: 3 days, 16:08:22 batch_cost: 2.2923 data_cost: 0.0013 ips: 24.4298 images/s [10/14 11:22:07] ppdet.engine INFO: Epoch: [35] [500/523] learning_rate: 0.385989 loss_vfl: 0.924402 loss_bbox: 0.332078 loss_dfl: 0.201044 loss: 1.469004 eta: 3 days, 16:07:29 batch_cost: 2.2503 data_cost: 0.0018 ips: 24.8860 images/s [10/14 11:22:48] ppdet.engine INFO: Epoch: [35] [520/523] learning_rate: 0.385960 loss_vfl: 0.912572 loss_bbox: 0.344820 loss_dfl: 0.210170 loss: 1.466414 eta: 3 days, 16:05:57 batch_cost: 1.9802 data_cost: 0.0012 ips: 28.2800 images/s [10/14 11:23:17] ppdet.engine INFO: Epoch: [36] [ 0/523] learning_rate: 0.385955 loss_vfl: 0.925001 loss_bbox: 0.337484 loss_dfl: 0.210170 loss: 1.454482 eta: 3 days, 16:08:00 batch_cost: 2.8762 data_cost: 0.3674 ips: 19.4703 images/s [10/14 11:24:06] ppdet.engine INFO: Epoch: [36] [ 20/523] learning_rate: 0.385926 loss_vfl: 0.908276 loss_bbox: 0.320202 loss_dfl: 0.195482 loss: 1.430449 eta: 3 days, 16:07:18 batch_cost: 2.3265 data_cost: 0.0013 ips: 24.0707 images/s [10/14 11:24:54] ppdet.engine INFO: Epoch: [36] [ 40/523] learning_rate: 0.385896 loss_vfl: 0.922580 loss_bbox: 0.319277 loss_dfl: 0.202609 loss: 1.440722 eta: 3 days, 16:06:29 batch_cost: 2.2757 data_cost: 0.0013 ips: 24.6076 images/s [10/14 11:25:42] ppdet.engine INFO: Epoch: [36] [ 60/523] learning_rate: 0.385867 loss_vfl: 0.934109 loss_bbox: 0.313170 loss_dfl: 0.190261 loss: 1.447189 eta: 3 days, 16:05:40 batch_cost: 2.2747 data_cost: 0.0012 ips: 24.6185 images/s [10/14 11:26:30] ppdet.engine INFO: Epoch: [36] [ 80/523] learning_rate: 0.385837 loss_vfl: 0.903656 loss_bbox: 0.322202 loss_dfl: 0.200233 loss: 1.432783 eta: 3 days, 16:04:55 batch_cost: 2.3096 data_cost: 0.0012 ips: 24.2464 images/s [10/14 11:27:20] ppdet.engine INFO: Epoch: [36] [100/523] learning_rate: 0.385808 loss_vfl: 0.906020 loss_bbox: 0.331418 loss_dfl: 0.198332 loss: 1.446811 eta: 3 days, 16:04:23 batch_cost: 2.3900 data_cost: 0.0013 ips: 23.4311 images/s [10/14 11:28:08] ppdet.engine INFO: Epoch: [36] [120/523] learning_rate: 0.385778 loss_vfl: 0.925613 loss_bbox: 0.315901 loss_dfl: 0.204077 loss: 1.440246 eta: 3 days, 16:03:37 batch_cost: 2.3019 data_cost: 0.0012 ips: 24.3279 images/s [10/14 11:28:56] ppdet.engine INFO: Epoch: [36] [140/523] learning_rate: 0.385748 loss_vfl: 0.901556 loss_bbox: 0.312367 loss_dfl: 0.198002 loss: 1.430018 eta: 3 days, 16:02:48 batch_cost: 2.2755 data_cost: 0.0012 ips: 24.6095 images/s [10/14 11:29:43] ppdet.engine INFO: Epoch: [36] [160/523] learning_rate: 0.385718 loss_vfl: 0.924794 loss_bbox: 0.333492 loss_dfl: 0.204430 loss: 1.460417 eta: 3 days, 16:01:55 batch_cost: 2.2481 data_cost: 0.0012 ips: 24.9097 images/s [10/14 11:30:31] ppdet.engine INFO: Epoch: [36] [180/523] learning_rate: 0.385689 loss_vfl: 0.907383 loss_bbox: 0.300281 loss_dfl: 0.186921 loss: 1.419195 eta: 3 days, 16:01:08 batch_cost: 2.2934 data_cost: 0.0012 ips: 24.4179 images/s [10/14 11:31:19] ppdet.engine INFO: Epoch: [36] [200/523] learning_rate: 0.385659 loss_vfl: 0.909623 loss_bbox: 0.338658 loss_dfl: 0.205905 loss: 1.473197 eta: 3 days, 16:00:21 batch_cost: 2.2883 data_cost: 0.0012 ips: 24.4722 images/s [10/14 11:32:08] ppdet.engine INFO: Epoch: [36] [220/523] learning_rate: 0.385629 loss_vfl: 0.929033 loss_bbox: 0.305838 loss_dfl: 0.189688 loss: 1.416034 eta: 3 days, 15:59:37 batch_cost: 2.3144 data_cost: 0.0012 ips: 24.1968 images/s [10/14 11:32:55] ppdet.engine INFO: Epoch: [36] [240/523] learning_rate: 0.385599 loss_vfl: 0.913218 loss_bbox: 0.317594 loss_dfl: 0.197951 loss: 1.419689 eta: 3 days, 15:58:45 batch_cost: 2.2514 data_cost: 0.0012 ips: 24.8729 images/s [10/14 11:33:43] ppdet.engine INFO: Epoch: [36] [260/523] learning_rate: 0.385569 loss_vfl: 0.920855 loss_bbox: 0.348201 loss_dfl: 0.217904 loss: 1.493887 eta: 3 days, 15:57:50 batch_cost: 2.2383 data_cost: 0.0013 ips: 25.0185 images/s [10/14 11:34:30] ppdet.engine INFO: Epoch: [36] [280/523] learning_rate: 0.385540 loss_vfl: 0.904751 loss_bbox: 0.313218 loss_dfl: 0.199768 loss: 1.421929 eta: 3 days, 15:56:57 batch_cost: 2.2473 data_cost: 0.0053 ips: 24.9186 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loss_bbox: 0.324542 loss_dfl: 0.201896 loss: 1.432775 eta: 3 days, 15:50:04 batch_cost: 2.3717 data_cost: 0.0012 ips: 23.6116 images/s [10/14 11:42:32] ppdet.engine INFO: Epoch: [36] [480/523] learning_rate: 0.385239 loss_vfl: 0.931753 loss_bbox: 0.302499 loss_dfl: 0.196805 loss: 1.437268 eta: 3 days, 15:49:20 batch_cost: 2.3140 data_cost: 0.0012 ips: 24.2003 images/s [10/14 11:43:20] ppdet.engine INFO: Epoch: [36] [500/523] learning_rate: 0.385209 loss_vfl: 0.917529 loss_bbox: 0.320010 loss_dfl: 0.194439 loss: 1.417511 eta: 3 days, 15:48:28 batch_cost: 2.2568 data_cost: 0.0012 ips: 24.8138 images/s [10/14 11:44:02] ppdet.engine INFO: Epoch: [36] [520/523] learning_rate: 0.385179 loss_vfl: 0.930747 loss_bbox: 0.315405 loss_dfl: 0.196600 loss: 1.437899 eta: 3 days, 15:47:00 batch_cost: 2.0024 data_cost: 0.0012 ips: 27.9661 images/s [10/14 11:44:30] ppdet.engine INFO: Epoch: [37] [ 0/523] learning_rate: 0.385174 loss_vfl: 0.934059 loss_bbox: 0.315405 loss_dfl: 0.197229 loss: 1.438025 eta: 3 days, 15:49:05 batch_cost: 2.9501 data_cost: 0.6588 ips: 18.9824 images/s [10/14 11:45:21] ppdet.engine INFO: Epoch: [37] [ 20/523] learning_rate: 0.385144 loss_vfl: 0.918023 loss_bbox: 0.304338 loss_dfl: 0.194079 loss: 1.422638 eta: 3 days, 15:48:33 batch_cost: 2.3960 data_cost: 0.0013 ips: 23.3726 images/s [10/14 11:46:08] ppdet.engine INFO: Epoch: [37] [ 40/523] learning_rate: 0.385114 loss_vfl: 0.932586 loss_bbox: 0.316486 loss_dfl: 0.199616 loss: 1.439802 eta: 3 days, 15:47:37 batch_cost: 2.2250 data_cost: 0.0015 ips: 25.1689 images/s [10/14 11:46:56] ppdet.engine INFO: Epoch: [37] [ 60/523] learning_rate: 0.385083 loss_vfl: 0.914064 loss_bbox: 0.303106 loss_dfl: 0.195709 loss: 1.429789 eta: 3 days, 15:46:50 batch_cost: 2.2886 data_cost: 0.0012 ips: 24.4689 images/s [10/14 11:47:44] ppdet.engine INFO: Epoch: [37] [ 80/523] learning_rate: 0.385053 loss_vfl: 0.909270 loss_bbox: 0.335770 loss_dfl: 0.197940 loss: 1.437969 eta: 3 days, 15:46:03 batch_cost: 2.2959 data_cost: 0.0018 ips: 24.3911 images/s [10/14 11:48:32] ppdet.engine INFO: Epoch: [37] [100/523] learning_rate: 0.385022 loss_vfl: 0.934694 loss_bbox: 0.313882 loss_dfl: 0.202471 loss: 1.453358 eta: 3 days, 15:45:14 batch_cost: 2.2733 data_cost: 0.0012 ips: 24.6333 images/s [10/14 11:49:19] ppdet.engine INFO: Epoch: [37] [120/523] learning_rate: 0.384992 loss_vfl: 0.927514 loss_bbox: 0.313332 loss_dfl: 0.191712 loss: 1.448873 eta: 3 days, 15:44:23 batch_cost: 2.2630 data_cost: 0.0012 ips: 24.7458 images/s [10/14 11:50:08] ppdet.engine INFO: Epoch: [37] [140/523] learning_rate: 0.384962 loss_vfl: 0.925505 loss_bbox: 0.295878 loss_dfl: 0.193490 loss: 1.446772 eta: 3 days, 15:43:40 batch_cost: 2.3196 data_cost: 0.0013 ips: 24.1418 images/s [10/14 11:50:56] ppdet.engine INFO: Epoch: [37] [160/523] learning_rate: 0.384931 loss_vfl: 0.924473 loss_bbox: 0.321790 loss_dfl: 0.203751 loss: 1.420674 eta: 3 days, 15:42:54 batch_cost: 2.3000 data_cost: 0.0013 ips: 24.3475 images/s [10/14 11:51:45] ppdet.engine INFO: Epoch: [37] [180/523] learning_rate: 0.384901 loss_vfl: 0.933556 loss_bbox: 0.321145 loss_dfl: 0.198855 loss: 1.461982 eta: 3 days, 15:42:13 batch_cost: 2.3341 data_cost: 0.0012 ips: 23.9925 images/s [10/14 11:52:33] ppdet.engine INFO: Epoch: [37] [200/523] learning_rate: 0.384870 loss_vfl: 0.936637 loss_bbox: 0.320020 loss_dfl: 0.199562 loss: 1.438442 eta: 3 days, 15:41:29 batch_cost: 2.3146 data_cost: 0.0013 ips: 24.1941 images/s [10/14 11:53:22] ppdet.engine INFO: Epoch: [37] [220/523] learning_rate: 0.384839 loss_vfl: 0.899518 loss_bbox: 0.318087 loss_dfl: 0.200970 loss: 1.419907 eta: 3 days, 15:40:50 batch_cost: 2.3480 data_cost: 0.0013 ips: 23.8500 images/s [10/14 11:54:11] ppdet.engine INFO: Epoch: [37] [240/523] learning_rate: 0.384809 loss_vfl: 0.920149 loss_bbox: 0.321213 loss_dfl: 0.202987 loss: 1.446020 eta: 3 days, 15:40:07 batch_cost: 2.3168 data_cost: 0.0013 ips: 24.1716 images/s [10/14 11:54:57] ppdet.engine INFO: Epoch: [37] [260/523] learning_rate: 0.384778 loss_vfl: 0.904938 loss_bbox: 0.327389 loss_dfl: 0.204706 loss: 1.435964 eta: 3 days, 15:39:10 batch_cost: 2.2202 data_cost: 0.0012 ips: 25.2232 images/s [10/14 11:55:46] ppdet.engine INFO: Epoch: [37] [280/523] learning_rate: 0.384748 loss_vfl: 0.913622 loss_bbox: 0.318365 loss_dfl: 0.203868 loss: 1.427320 eta: 3 days, 15:38:25 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2680 images/s [10/14 11:56:34] ppdet.engine INFO: Epoch: [37] [300/523] learning_rate: 0.384717 loss_vfl: 0.918880 loss_bbox: 0.320226 loss_dfl: 0.202376 loss: 1.444812 eta: 3 days, 15:37:36 batch_cost: 2.2730 data_cost: 0.0014 ips: 24.6367 images/s [10/14 11:57:22] ppdet.engine INFO: Epoch: [37] [320/523] learning_rate: 0.384686 loss_vfl: 0.922921 loss_bbox: 0.327012 loss_dfl: 0.204119 loss: 1.480832 eta: 3 days, 15:36:45 batch_cost: 2.2648 data_cost: 0.0012 ips: 24.7268 images/s [10/14 11:58:11] ppdet.engine INFO: Epoch: [37] [340/523] learning_rate: 0.384655 loss_vfl: 0.928413 loss_bbox: 0.311016 loss_dfl: 0.198273 loss: 1.437375 eta: 3 days, 15:36:01 batch_cost: 2.3136 data_cost: 0.0012 ips: 24.2047 images/s [10/14 11:58:58] ppdet.engine INFO: Epoch: [37] [360/523] learning_rate: 0.384625 loss_vfl: 0.929504 loss_bbox: 0.331364 loss_dfl: 0.198468 loss: 1.442200 eta: 3 days, 15:35:08 batch_cost: 2.2440 data_cost: 0.0012 ips: 24.9549 images/s [10/14 11:59:46] ppdet.engine INFO: Epoch: [37] [380/523] learning_rate: 0.384594 loss_vfl: 0.917431 loss_bbox: 0.311941 loss_dfl: 0.195999 loss: 1.424896 eta: 3 days, 15:34:22 batch_cost: 2.2977 data_cost: 0.0012 ips: 24.3720 images/s [10/14 12:00:34] ppdet.engine INFO: Epoch: [37] [400/523] learning_rate: 0.384563 loss_vfl: 0.899104 loss_bbox: 0.333711 loss_dfl: 0.206571 loss: 1.456151 eta: 3 days, 15:33:36 batch_cost: 2.2983 data_cost: 0.0012 ips: 24.3658 images/s [10/14 12:01:22] ppdet.engine INFO: Epoch: [37] [420/523] learning_rate: 0.384532 loss_vfl: 0.918535 loss_bbox: 0.316466 loss_dfl: 0.199156 loss: 1.448766 eta: 3 days, 15:32:51 batch_cost: 2.3074 data_cost: 0.0013 ips: 24.2700 images/s [10/14 12:02:11] ppdet.engine INFO: Epoch: [37] [440/523] learning_rate: 0.384501 loss_vfl: 0.918629 loss_bbox: 0.309449 loss_dfl: 0.195422 loss: 1.433223 eta: 3 days, 15:32:07 batch_cost: 2.3141 data_cost: 0.0014 ips: 24.1999 images/s [10/14 12:02:59] ppdet.engine INFO: Epoch: [37] [460/523] learning_rate: 0.384470 loss_vfl: 0.925347 loss_bbox: 0.323689 loss_dfl: 0.197971 loss: 1.446175 eta: 3 days, 15:31:20 batch_cost: 2.2919 data_cost: 0.0012 ips: 24.4338 images/s [10/14 12:03:47] ppdet.engine INFO: Epoch: [37] [480/523] learning_rate: 0.384439 loss_vfl: 0.935138 loss_bbox: 0.299224 loss_dfl: 0.194655 loss: 1.429911 eta: 3 days, 15:30:31 batch_cost: 2.2734 data_cost: 0.0014 ips: 24.6327 images/s [10/14 12:04:34] ppdet.engine INFO: Epoch: [37] [500/523] learning_rate: 0.384408 loss_vfl: 0.926031 loss_bbox: 0.329906 loss_dfl: 0.204718 loss: 1.468645 eta: 3 days, 15:29:39 batch_cost: 2.2519 data_cost: 0.0012 ips: 24.8678 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loss_bbox: 0.309371 loss_dfl: 0.199410 loss: 1.416353 eta: 3 days, 15:24:56 batch_cost: 2.3321 data_cost: 0.0012 ips: 24.0127 images/s [10/14 12:12:11] ppdet.engine INFO: Epoch: [38] [160/523] learning_rate: 0.384123 loss_vfl: 0.907336 loss_bbox: 0.309379 loss_dfl: 0.193990 loss: 1.402750 eta: 3 days, 15:24:07 batch_cost: 2.2790 data_cost: 0.0017 ips: 24.5719 images/s [10/14 12:13:00] ppdet.engine INFO: Epoch: [38] [180/523] learning_rate: 0.384092 loss_vfl: 0.922690 loss_bbox: 0.329700 loss_dfl: 0.203522 loss: 1.452416 eta: 3 days, 15:23:23 batch_cost: 2.3128 data_cost: 0.0013 ips: 24.2134 images/s [10/14 12:13:48] ppdet.engine INFO: Epoch: [38] [200/523] learning_rate: 0.384061 loss_vfl: 0.913667 loss_bbox: 0.334311 loss_dfl: 0.207630 loss: 1.436454 eta: 3 days, 15:22:26 batch_cost: 2.2151 data_cost: 0.0013 ips: 25.2806 images/s [10/14 12:14:35] ppdet.engine INFO: Epoch: [38] [220/523] learning_rate: 0.384029 loss_vfl: 0.906301 loss_bbox: 0.329230 loss_dfl: 0.210890 loss: 1.444082 eta: 3 days, 15:21:36 batch_cost: 2.2723 data_cost: 0.0012 ips: 24.6449 images/s [10/14 12:15:21] ppdet.engine INFO: Epoch: [38] [240/523] learning_rate: 0.383998 loss_vfl: 0.936013 loss_bbox: 0.334156 loss_dfl: 0.204443 loss: 1.466424 eta: 3 days, 15:20:36 batch_cost: 2.1977 data_cost: 0.0012 ips: 25.4807 images/s [10/14 12:16:11] ppdet.engine INFO: Epoch: [38] [260/523] learning_rate: 0.383967 loss_vfl: 0.907306 loss_bbox: 0.334181 loss_dfl: 0.197652 loss: 1.433748 eta: 3 days, 15:20:02 batch_cost: 2.3850 data_cost: 0.0012 ips: 23.4799 images/s [10/14 12:17:01] ppdet.engine INFO: Epoch: [38] [280/523] learning_rate: 0.383935 loss_vfl: 0.921101 loss_bbox: 0.328881 loss_dfl: 0.205558 loss: 1.466560 eta: 3 days, 15:19:25 batch_cost: 2.3611 data_cost: 0.0012 ips: 23.7176 images/s [10/14 12:17:48] ppdet.engine INFO: Epoch: [38] [300/523] learning_rate: 0.383904 loss_vfl: 0.925112 loss_bbox: 0.326320 loss_dfl: 0.203769 loss: 1.459331 eta: 3 days, 15:18:37 batch_cost: 2.2894 data_cost: 0.0012 ips: 24.4600 images/s [10/14 12:18:35] ppdet.engine INFO: Epoch: [38] [320/523] learning_rate: 0.383872 loss_vfl: 0.924853 loss_bbox: 0.314415 loss_dfl: 0.195755 loss: 1.434053 eta: 3 days, 15:17:41 batch_cost: 2.2200 data_cost: 0.0012 ips: 25.2248 images/s [10/14 12:19:24] ppdet.engine INFO: Epoch: [38] [340/523] learning_rate: 0.383841 loss_vfl: 0.941868 loss_bbox: 0.314647 loss_dfl: 0.204297 loss: 1.453407 eta: 3 days, 15:16:56 batch_cost: 2.3106 data_cost: 0.0012 ips: 24.2366 images/s [10/14 12:20:13] ppdet.engine INFO: Epoch: [38] [360/523] learning_rate: 0.383809 loss_vfl: 0.917558 loss_bbox: 0.320447 loss_dfl: 0.198553 loss: 1.463406 eta: 3 days, 15:16:16 batch_cost: 2.3404 data_cost: 0.0013 ips: 23.9272 images/s [10/14 12:21:00] ppdet.engine INFO: Epoch: [38] [380/523] learning_rate: 0.383778 loss_vfl: 0.906901 loss_bbox: 0.316426 loss_dfl: 0.201839 loss: 1.414485 eta: 3 days, 15:15:23 batch_cost: 2.2454 data_cost: 0.0018 ips: 24.9399 images/s [10/14 12:21:47] ppdet.engine INFO: Epoch: [38] [400/523] learning_rate: 0.383746 loss_vfl: 0.907485 loss_bbox: 0.322096 loss_dfl: 0.198925 loss: 1.420025 eta: 3 days, 15:14:29 batch_cost: 2.2436 data_cost: 0.0012 ips: 24.9599 images/s [10/14 12:22:36] ppdet.engine INFO: Epoch: [38] [420/523] learning_rate: 0.383714 loss_vfl: 0.933425 loss_bbox: 0.310817 loss_dfl: 0.196663 loss: 1.434051 eta: 3 days, 15:13:46 batch_cost: 2.3154 data_cost: 0.0012 ips: 24.1855 images/s [10/14 12:23:24] ppdet.engine INFO: Epoch: [38] [440/523] learning_rate: 0.383683 loss_vfl: 0.915083 loss_bbox: 0.349561 loss_dfl: 0.211009 loss: 1.481623 eta: 3 days, 15:13:00 batch_cost: 2.2981 data_cost: 0.0015 ips: 24.3680 images/s [10/14 12:24:13] ppdet.engine INFO: Epoch: [38] [460/523] learning_rate: 0.383651 loss_vfl: 0.936989 loss_bbox: 0.310063 loss_dfl: 0.194550 loss: 1.456300 eta: 3 days, 15:12:20 batch_cost: 2.3431 data_cost: 0.0012 ips: 23.8998 images/s [10/14 12:25:01] ppdet.engine INFO: Epoch: [38] [480/523] learning_rate: 0.383619 loss_vfl: 0.914611 loss_bbox: 0.307298 loss_dfl: 0.196845 loss: 1.422747 eta: 3 days, 15:11:28 batch_cost: 2.2596 data_cost: 0.0012 ips: 24.7832 images/s [10/14 12:25:49] ppdet.engine INFO: Epoch: [38] [500/523] learning_rate: 0.383587 loss_vfl: 0.916996 loss_bbox: 0.324060 loss_dfl: 0.202629 loss: 1.433760 eta: 3 days, 15:10:41 batch_cost: 2.2903 data_cost: 0.0012 ips: 24.4509 images/s [10/14 12:26:32] ppdet.engine INFO: Epoch: [38] [520/523] learning_rate: 0.383556 loss_vfl: 0.913178 loss_bbox: 0.319197 loss_dfl: 0.204511 loss: 1.442714 eta: 3 days, 15:09:18 batch_cost: 2.0236 data_cost: 0.0012 ips: 27.6734 images/s [10/14 12:26:58] ppdet.engine INFO: Epoch: [39] [ 0/523] learning_rate: 0.383551 loss_vfl: 0.912657 loss_bbox: 0.306032 loss_dfl: 0.198824 loss: 1.418114 eta: 3 days, 15:10:55 batch_cost: 2.7998 data_cost: 0.4126 ips: 20.0013 images/s [10/14 12:27:50] ppdet.engine INFO: Epoch: [39] [ 20/523] learning_rate: 0.383519 loss_vfl: 0.933802 loss_bbox: 0.334145 loss_dfl: 0.203099 loss: 1.453732 eta: 3 days, 15:10:39 batch_cost: 2.5204 data_cost: 0.0013 ips: 22.2188 images/s [10/14 12:28:40] ppdet.engine INFO: Epoch: [39] [ 40/523] learning_rate: 0.383487 loss_vfl: 0.906239 loss_bbox: 0.329942 loss_dfl: 0.205355 loss: 1.448556 eta: 3 days, 15:10:04 batch_cost: 2.3826 data_cost: 0.0012 ips: 23.5035 images/s [10/14 12:29:29] ppdet.engine INFO: Epoch: [39] [ 60/523] learning_rate: 0.383455 loss_vfl: 0.908370 loss_bbox: 0.310363 loss_dfl: 0.197974 loss: 1.418267 eta: 3 days, 15:09:20 batch_cost: 2.3112 data_cost: 0.0012 ips: 24.2296 images/s [10/14 12:30:17] ppdet.engine INFO: Epoch: [39] [ 80/523] learning_rate: 0.383423 loss_vfl: 0.923303 loss_bbox: 0.314219 loss_dfl: 0.194767 loss: 1.424173 eta: 3 days, 15:08:31 batch_cost: 2.2813 data_cost: 0.0012 ips: 24.5469 images/s [10/14 12:31:04] ppdet.engine INFO: Epoch: [39] [100/523] learning_rate: 0.383392 loss_vfl: 0.916009 loss_bbox: 0.307130 loss_dfl: 0.195156 loss: 1.418922 eta: 3 days, 15:07:42 batch_cost: 2.2734 data_cost: 0.0012 ips: 24.6323 images/s [10/14 12:31:52] ppdet.engine INFO: Epoch: [39] [120/523] learning_rate: 0.383360 loss_vfl: 0.931097 loss_bbox: 0.327172 loss_dfl: 0.201709 loss: 1.446787 eta: 3 days, 15:06:49 batch_cost: 2.2503 data_cost: 0.0012 ips: 24.8851 images/s [10/14 12:32:40] ppdet.engine INFO: Epoch: [39] [140/523] learning_rate: 0.383328 loss_vfl: 0.912258 loss_bbox: 0.325639 loss_dfl: 0.194875 loss: 1.407761 eta: 3 days, 15:06:05 batch_cost: 2.3093 data_cost: 0.0013 ips: 24.2496 images/s [10/14 12:33:29] ppdet.engine INFO: Epoch: [39] [160/523] learning_rate: 0.383296 loss_vfl: 0.911143 loss_bbox: 0.329714 loss_dfl: 0.200920 loss: 1.431699 eta: 3 days, 15:05:20 batch_cost: 2.3068 data_cost: 0.0019 ips: 24.2757 images/s [10/14 12:34:17] ppdet.engine INFO: Epoch: [39] [180/523] learning_rate: 0.383263 loss_vfl: 0.915928 loss_bbox: 0.301543 loss_dfl: 0.201688 loss: 1.409919 eta: 3 days, 15:04:31 batch_cost: 2.2805 data_cost: 0.0012 ips: 24.5560 images/s [10/14 12:35:05] ppdet.engine INFO: Epoch: [39] [200/523] learning_rate: 0.383231 loss_vfl: 0.910338 loss_bbox: 0.310157 loss_dfl: 0.195030 loss: 1.414630 eta: 3 days, 15:03:41 batch_cost: 2.2699 data_cost: 0.0012 ips: 24.6712 images/s [10/14 12:35:53] ppdet.engine INFO: Epoch: [39] [220/523] learning_rate: 0.383199 loss_vfl: 0.911717 loss_bbox: 0.324784 loss_dfl: 0.203231 loss: 1.441113 eta: 3 days, 15:02:55 batch_cost: 2.2961 data_cost: 0.0012 ips: 24.3889 images/s [10/14 12:36:42] ppdet.engine INFO: Epoch: [39] [240/523] learning_rate: 0.383167 loss_vfl: 0.950594 loss_bbox: 0.306040 loss_dfl: 0.194839 loss: 1.451572 eta: 3 days, 15:02:14 batch_cost: 2.3413 data_cost: 0.0012 ips: 23.9184 images/s [10/14 12:37:29] ppdet.engine INFO: Epoch: [39] [260/523] learning_rate: 0.383135 loss_vfl: 0.887202 loss_bbox: 0.320852 loss_dfl: 0.202715 loss: 1.437586 eta: 3 days, 15:01:24 batch_cost: 2.2695 data_cost: 0.0012 ips: 24.6747 images/s [10/14 12:38:16] ppdet.engine INFO: Epoch: [39] [280/523] learning_rate: 0.383103 loss_vfl: 0.934163 loss_bbox: 0.303866 loss_dfl: 0.192462 loss: 1.417979 eta: 3 days, 15:00:32 batch_cost: 2.2536 data_cost: 0.0012 ips: 24.8491 images/s [10/14 12:39:05] ppdet.engine INFO: Epoch: [39] [300/523] learning_rate: 0.383070 loss_vfl: 0.910715 loss_bbox: 0.319209 loss_dfl: 0.198672 loss: 1.439404 eta: 3 days, 14:59:47 batch_cost: 2.3008 data_cost: 0.0012 ips: 24.3391 images/s [10/14 12:39:52] ppdet.engine INFO: Epoch: [39] [320/523] learning_rate: 0.383038 loss_vfl: 0.929505 loss_bbox: 0.311325 loss_dfl: 0.199730 loss: 1.438878 eta: 3 days, 14:58:55 batch_cost: 2.2556 data_cost: 0.0012 ips: 24.8275 images/s [10/14 12:40:42] ppdet.engine INFO: Epoch: [39] [340/523] learning_rate: 0.383006 loss_vfl: 0.940246 loss_bbox: 0.310100 loss_dfl: 0.198272 loss: 1.456231 eta: 3 days, 14:58:18 batch_cost: 2.3708 data_cost: 0.0012 ips: 23.6208 images/s [10/14 12:41:31] ppdet.engine INFO: Epoch: [39] [360/523] learning_rate: 0.382974 loss_vfl: 0.935548 loss_bbox: 0.310662 loss_dfl: 0.197362 loss: 1.441127 eta: 3 days, 14:57:38 batch_cost: 2.3433 data_cost: 0.0012 ips: 23.8975 images/s [10/14 12:42:19] ppdet.engine INFO: Epoch: [39] [380/523] learning_rate: 0.382941 loss_vfl: 0.911391 loss_bbox: 0.319062 loss_dfl: 0.203157 loss: 1.415782 eta: 3 days, 14:56:48 batch_cost: 2.2730 data_cost: 0.0012 ips: 24.6369 images/s [10/14 12:43:06] ppdet.engine INFO: Epoch: [39] [400/523] learning_rate: 0.382909 loss_vfl: 0.926166 loss_bbox: 0.307215 loss_dfl: 0.190854 loss: 1.440521 eta: 3 days, 14:55:53 batch_cost: 2.2292 data_cost: 0.0012 ips: 25.1209 images/s [10/14 12:43:54] ppdet.engine INFO: Epoch: [39] [420/523] learning_rate: 0.382876 loss_vfl: 0.914791 loss_bbox: 0.327048 loss_dfl: 0.201099 loss: 1.451097 eta: 3 days, 14:55:06 batch_cost: 2.2861 data_cost: 0.0013 ips: 24.4960 images/s [10/14 12:44:42] ppdet.engine INFO: Epoch: [39] [440/523] learning_rate: 0.382844 loss_vfl: 0.919857 loss_bbox: 0.329371 loss_dfl: 0.208432 loss: 1.463493 eta: 3 days, 14:54:15 batch_cost: 2.2641 data_cost: 0.0012 ips: 24.7343 images/s [10/14 12:45:30] ppdet.engine INFO: Epoch: [39] [460/523] learning_rate: 0.382812 loss_vfl: 0.920463 loss_bbox: 0.320938 loss_dfl: 0.199508 loss: 1.453636 eta: 3 days, 14:53:27 batch_cost: 2.2830 data_cost: 0.0015 ips: 24.5296 images/s [10/14 12:46:16] ppdet.engine INFO: Epoch: [39] [480/523] learning_rate: 0.382779 loss_vfl: 0.918104 loss_bbox: 0.341397 loss_dfl: 0.212532 loss: 1.474211 eta: 3 days, 14:52:34 batch_cost: 2.2432 data_cost: 0.0012 ips: 24.9648 images/s [10/14 12:47:05] ppdet.engine INFO: Epoch: [39] [500/523] learning_rate: 0.382747 loss_vfl: 0.914736 loss_bbox: 0.328168 loss_dfl: 0.205145 loss: 1.451334 eta: 3 days, 14:51:49 batch_cost: 2.3080 data_cost: 0.0016 ips: 24.2637 images/s [10/14 12:47:47] ppdet.engine INFO: Epoch: [39] [520/523] learning_rate: 0.382714 loss_vfl: 0.929400 loss_bbox: 0.307027 loss_dfl: 0.200303 loss: 1.437490 eta: 3 days, 14:50:26 batch_cost: 2.0152 data_cost: 0.0012 ips: 27.7893 images/s [10/14 12:47:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 12:47:54] ppdet.engine INFO: Eval iter: 0 [10/14 12:48:35] ppdet.engine INFO: Eval iter: 100 [10/14 12:48:57] ppdet.engine INFO: Eval iter: 200 [10/14 12:49:18] ppdet.engine INFO: Eval iter: 300 [10/14 12:49:39] ppdet.engine INFO: Eval iter: 400 [10/14 12:50:00] ppdet.engine INFO: Eval iter: 500 [10/14 12:50:22] ppdet.engine INFO: Eval iter: 600 [10/14 12:50:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.99s) creating index... index created! [10/14 12:50:44] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.18s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.83s). Accumulating evaluation results... DONE (t=18.06s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.463 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.330 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.337 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.280 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.201 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.530 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711 [10/14 12:52:51] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.191007575442576 [10/14 12:52:51] ppdet.engine INFO: Best test bbox ap is 0.314. [10/14 12:52:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 12:52:53] ppdet.engine INFO: Epoch: [40] [ 0/523] learning_rate: 0.382709 loss_vfl: 0.933555 loss_bbox: 0.310403 loss_dfl: 0.200303 loss: 1.442357 eta: 3 days, 14:50:08 batch_cost: 1.9381 data_cost: 0.0012 ips: 28.8939 images/s [10/14 12:53:43] ppdet.engine INFO: Epoch: [40] [ 20/523] learning_rate: 0.382677 loss_vfl: 0.904963 loss_bbox: 0.339845 loss_dfl: 0.209171 loss: 1.416785 eta: 3 days, 14:49:34 batch_cost: 2.3906 data_cost: 0.0014 ips: 23.4250 images/s [10/14 12:54:32] ppdet.engine INFO: Epoch: [40] [ 40/523] learning_rate: 0.382644 loss_vfl: 0.910173 loss_bbox: 0.317139 loss_dfl: 0.199075 loss: 1.437655 eta: 3 days, 14:48:55 batch_cost: 2.3514 data_cost: 0.0014 ips: 23.8156 images/s [10/14 12:55:19] ppdet.engine INFO: Epoch: [40] [ 60/523] learning_rate: 0.382611 loss_vfl: 0.917339 loss_bbox: 0.299631 loss_dfl: 0.190832 loss: 1.412565 eta: 3 days, 14:48:01 batch_cost: 2.2401 data_cost: 0.0013 ips: 24.9986 images/s [10/14 12:56:06] ppdet.engine INFO: Epoch: [40] [ 80/523] learning_rate: 0.382579 loss_vfl: 0.918438 loss_bbox: 0.312742 loss_dfl: 0.203051 loss: 1.458871 eta: 3 days, 14:47:07 batch_cost: 2.2363 data_cost: 0.0013 ips: 25.0409 images/s [10/14 12:56:54] ppdet.engine INFO: Epoch: [40] [100/523] learning_rate: 0.382546 loss_vfl: 0.894047 loss_bbox: 0.315037 loss_dfl: 0.198227 loss: 1.400994 eta: 3 days, 14:46:22 batch_cost: 2.3077 data_cost: 0.0023 ips: 24.2663 images/s [10/14 12:57:41] ppdet.engine INFO: Epoch: [40] [120/523] learning_rate: 0.382513 loss_vfl: 0.911827 loss_bbox: 0.320800 loss_dfl: 0.202032 loss: 1.435346 eta: 3 days, 14:45:27 batch_cost: 2.2289 data_cost: 0.0012 ips: 25.1242 images/s [10/14 12:58:28] ppdet.engine INFO: Epoch: [40] [140/523] learning_rate: 0.382480 loss_vfl: 0.894197 loss_bbox: 0.344476 loss_dfl: 0.209631 loss: 1.441016 eta: 3 days, 14:44:33 batch_cost: 2.2369 data_cost: 0.0013 ips: 25.0343 images/s [10/14 12:59:17] ppdet.engine INFO: Epoch: [40] [160/523] learning_rate: 0.382448 loss_vfl: 0.904326 loss_bbox: 0.323574 loss_dfl: 0.200240 loss: 1.435317 eta: 3 days, 14:43:53 batch_cost: 2.3457 data_cost: 0.0012 ips: 23.8738 images/s [10/14 13:00:05] ppdet.engine INFO: Epoch: [40] [180/523] learning_rate: 0.382415 loss_vfl: 0.913652 loss_bbox: 0.317851 loss_dfl: 0.187510 loss: 1.439840 eta: 3 days, 14:43:07 batch_cost: 2.2937 data_cost: 0.0012 ips: 24.4142 images/s [10/14 13:00:53] ppdet.engine INFO: Epoch: [40] [200/523] learning_rate: 0.382382 loss_vfl: 0.899482 loss_bbox: 0.317711 loss_dfl: 0.197027 loss: 1.423362 eta: 3 days, 14:42:23 batch_cost: 2.3194 data_cost: 0.0013 ips: 24.1441 images/s [10/14 13:01:41] ppdet.engine INFO: Epoch: [40] [220/523] learning_rate: 0.382349 loss_vfl: 0.925792 loss_bbox: 0.343111 loss_dfl: 0.208344 loss: 1.467793 eta: 3 days, 14:41:32 batch_cost: 2.2571 data_cost: 0.0012 ips: 24.8109 images/s [10/14 13:02:28] ppdet.engine INFO: Epoch: [40] [240/523] learning_rate: 0.382316 loss_vfl: 0.924122 loss_bbox: 0.317383 loss_dfl: 0.196755 loss: 1.437614 eta: 3 days, 14:40:39 batch_cost: 2.2472 data_cost: 0.0012 ips: 24.9198 images/s [10/14 13:03:17] ppdet.engine INFO: Epoch: [40] [260/523] learning_rate: 0.382283 loss_vfl: 0.907338 loss_bbox: 0.355009 loss_dfl: 0.210331 loss: 1.484982 eta: 3 days, 14:40:02 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7016 images/s [10/14 13:04:05] ppdet.engine INFO: Epoch: [40] [280/523] learning_rate: 0.382250 loss_vfl: 0.907064 loss_bbox: 0.337713 loss_dfl: 0.205516 loss: 1.444532 eta: 3 days, 14:39:14 batch_cost: 2.2877 data_cost: 0.0012 ips: 24.4786 images/s [10/14 13:04:53] ppdet.engine INFO: Epoch: [40] [300/523] learning_rate: 0.382217 loss_vfl: 0.941285 loss_bbox: 0.308367 loss_dfl: 0.199750 loss: 1.448279 eta: 3 days, 14:38:27 batch_cost: 2.2892 data_cost: 0.0013 ips: 24.4624 images/s [10/14 13:05:41] ppdet.engine INFO: Epoch: [40] [320/523] learning_rate: 0.382184 loss_vfl: 0.927742 loss_bbox: 0.318375 loss_dfl: 0.194286 loss: 1.416355 eta: 3 days, 14:37:37 batch_cost: 2.2702 data_cost: 0.0013 ips: 24.6670 images/s [10/14 13:06:27] ppdet.engine INFO: Epoch: [40] [340/523] learning_rate: 0.382151 loss_vfl: 0.900096 loss_bbox: 0.332711 loss_dfl: 0.199550 loss: 1.446015 eta: 3 days, 14:36:37 batch_cost: 2.1839 data_cost: 0.0013 ips: 25.6421 images/s [10/14 13:07:15] ppdet.engine INFO: Epoch: [40] [360/523] learning_rate: 0.382118 loss_vfl: 0.910278 loss_bbox: 0.335522 loss_dfl: 0.204328 loss: 1.462752 eta: 3 days, 14:35:47 batch_cost: 2.2727 data_cost: 0.0013 ips: 24.6407 images/s [10/14 13:08:02] ppdet.engine INFO: Epoch: [40] [380/523] learning_rate: 0.382085 loss_vfl: 0.915887 loss_bbox: 0.315065 loss_dfl: 0.197865 loss: 1.443480 eta: 3 days, 14:34:58 batch_cost: 2.2700 data_cost: 0.0013 ips: 24.6693 images/s [10/14 13:08:50] ppdet.engine INFO: Epoch: [40] [400/523] learning_rate: 0.382052 loss_vfl: 0.920308 loss_bbox: 0.309702 loss_dfl: 0.198493 loss: 1.444665 eta: 3 days, 14:34:06 batch_cost: 2.2503 data_cost: 0.0012 ips: 24.8851 images/s [10/14 13:09:39] ppdet.engine INFO: Epoch: [40] [420/523] learning_rate: 0.382019 loss_vfl: 0.917568 loss_bbox: 0.338250 loss_dfl: 0.204999 loss: 1.473687 eta: 3 days, 14:33:25 batch_cost: 2.3437 data_cost: 0.0055 ips: 23.8934 images/s [10/14 13:10:27] ppdet.engine INFO: Epoch: [40] [440/523] learning_rate: 0.381985 loss_vfl: 0.932233 loss_bbox: 0.303867 loss_dfl: 0.187673 loss: 1.433674 eta: 3 days, 14:32:40 batch_cost: 2.3047 data_cost: 0.0026 ips: 24.2986 images/s [10/14 13:11:16] ppdet.engine INFO: Epoch: [40] [460/523] learning_rate: 0.381952 loss_vfl: 0.908618 loss_bbox: 0.326512 loss_dfl: 0.206264 loss: 1.442922 eta: 3 days, 14:31:57 batch_cost: 2.3233 data_cost: 0.0013 ips: 24.1032 images/s [10/14 13:12:03] ppdet.engine INFO: Epoch: [40] [480/523] learning_rate: 0.381919 loss_vfl: 0.929831 loss_bbox: 0.325228 loss_dfl: 0.198068 loss: 1.441976 eta: 3 days, 14:31:07 batch_cost: 2.2623 data_cost: 0.0020 ips: 24.7539 images/s [10/14 13:12:50] ppdet.engine INFO: Epoch: [40] [500/523] learning_rate: 0.381886 loss_vfl: 0.939535 loss_bbox: 0.300904 loss_dfl: 0.198091 loss: 1.413761 eta: 3 days, 14:30:16 batch_cost: 2.2631 data_cost: 0.0012 ips: 24.7447 images/s [10/14 13:13:33] ppdet.engine INFO: Epoch: [40] [520/523] learning_rate: 0.381852 loss_vfl: 0.908586 loss_bbox: 0.348613 loss_dfl: 0.216528 loss: 1.498613 eta: 3 days, 14:28:55 batch_cost: 2.0213 data_cost: 0.0012 ips: 27.7055 images/s [10/14 13:14:01] ppdet.engine INFO: Epoch: [41] [ 0/523] learning_rate: 0.381847 loss_vfl: 0.898733 loss_bbox: 0.338537 loss_dfl: 0.213276 loss: 1.486052 eta: 3 days, 14:30:43 batch_cost: 2.9170 data_cost: 0.3743 ips: 19.1979 images/s [10/14 13:14:52] ppdet.engine INFO: Epoch: [41] [ 20/523] learning_rate: 0.381814 loss_vfl: 0.899932 loss_bbox: 0.319502 loss_dfl: 0.199232 loss: 1.418667 eta: 3 days, 14:30:15 batch_cost: 2.4431 data_cost: 0.0012 ips: 22.9215 images/s [10/14 13:15:41] ppdet.engine INFO: Epoch: [41] 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loss_bbox: 0.322702 loss_dfl: 0.196829 loss: 1.427503 eta: 3 days, 14:26:28 batch_cost: 2.2643 data_cost: 0.0012 ips: 24.7322 images/s [10/14 13:19:42] ppdet.engine INFO: Epoch: [41] [140/523] learning_rate: 0.381613 loss_vfl: 0.907980 loss_bbox: 0.327104 loss_dfl: 0.202630 loss: 1.439287 eta: 3 days, 14:25:40 batch_cost: 2.2832 data_cost: 0.0012 ips: 24.5268 images/s [10/14 13:20:32] ppdet.engine INFO: Epoch: [41] [160/523] learning_rate: 0.381580 loss_vfl: 0.904236 loss_bbox: 0.314677 loss_dfl: 0.204191 loss: 1.450654 eta: 3 days, 14:25:04 batch_cost: 2.3795 data_cost: 0.0027 ips: 23.5345 images/s [10/14 13:21:22] ppdet.engine INFO: Epoch: [41] [180/523] learning_rate: 0.381546 loss_vfl: 0.922604 loss_bbox: 0.318102 loss_dfl: 0.200527 loss: 1.469396 eta: 3 days, 14:24:26 batch_cost: 2.3698 data_cost: 0.0025 ips: 23.6305 images/s [10/14 13:22:11] ppdet.engine INFO: Epoch: [41] [200/523] learning_rate: 0.381512 loss_vfl: 0.906475 loss_bbox: 0.316331 loss_dfl: 0.195741 loss: 1.418908 eta: 3 days, 14:23:51 batch_cost: 2.3811 data_cost: 0.0013 ips: 23.5185 images/s [10/14 13:23:01] ppdet.engine INFO: Epoch: [41] [220/523] learning_rate: 0.381479 loss_vfl: 0.932423 loss_bbox: 0.306691 loss_dfl: 0.191314 loss: 1.447116 eta: 3 days, 14:23:14 batch_cost: 2.3721 data_cost: 0.0012 ips: 23.6075 images/s [10/14 13:23:50] ppdet.engine INFO: Epoch: [41] [240/523] learning_rate: 0.381445 loss_vfl: 0.926191 loss_bbox: 0.326934 loss_dfl: 0.205944 loss: 1.477928 eta: 3 days, 14:22:31 batch_cost: 2.3248 data_cost: 0.0031 ips: 24.0884 images/s [10/14 13:24:37] ppdet.engine INFO: Epoch: [41] [260/523] learning_rate: 0.381411 loss_vfl: 0.900948 loss_bbox: 0.338474 loss_dfl: 0.205719 loss: 1.452136 eta: 3 days, 14:21:38 batch_cost: 2.2408 data_cost: 0.0012 ips: 24.9913 images/s [10/14 13:25:26] ppdet.engine INFO: Epoch: [41] [280/523] learning_rate: 0.381378 loss_vfl: 0.913427 loss_bbox: 0.315388 loss_dfl: 0.191291 loss: 1.407588 eta: 3 days, 14:20:59 batch_cost: 2.3595 data_cost: 0.0023 ips: 23.7341 images/s [10/14 13:26:16] ppdet.engine INFO: Epoch: [41] [300/523] learning_rate: 0.381344 loss_vfl: 0.929256 loss_bbox: 0.311579 loss_dfl: 0.195325 loss: 1.442745 eta: 3 days, 14:20:25 batch_cost: 2.3925 data_cost: 0.0024 ips: 23.4064 images/s [10/14 13:27:05] ppdet.engine INFO: Epoch: [41] [320/523] learning_rate: 0.381310 loss_vfl: 0.930502 loss_bbox: 0.317452 loss_dfl: 0.199611 loss: 1.451859 eta: 3 days, 14:19:39 batch_cost: 2.3018 data_cost: 0.0013 ips: 24.3291 images/s [10/14 13:27:54] ppdet.engine INFO: Epoch: [41] [340/523] learning_rate: 0.381276 loss_vfl: 0.904585 loss_bbox: 0.316432 loss_dfl: 0.195122 loss: 1.394557 eta: 3 days, 14:18:59 batch_cost: 2.3471 data_cost: 0.0012 ips: 23.8590 images/s [10/14 13:28:43] ppdet.engine INFO: Epoch: [41] [360/523] learning_rate: 0.381242 loss_vfl: 0.926832 loss_bbox: 0.313028 loss_dfl: 0.202603 loss: 1.436335 eta: 3 days, 14:18:18 batch_cost: 2.3427 data_cost: 0.0012 ips: 23.9045 images/s [10/14 13:29:32] ppdet.engine INFO: Epoch: [41] [380/523] learning_rate: 0.381208 loss_vfl: 0.925110 loss_bbox: 0.337785 loss_dfl: 0.205614 loss: 1.480728 eta: 3 days, 14:17:33 batch_cost: 2.3104 data_cost: 0.0013 ips: 24.2387 images/s [10/14 13:30:20] ppdet.engine INFO: Epoch: [41] [400/523] learning_rate: 0.381175 loss_vfl: 0.917363 loss_bbox: 0.305189 loss_dfl: 0.193803 loss: 1.423880 eta: 3 days, 14:16:47 batch_cost: 2.2980 data_cost: 0.0013 ips: 24.3695 images/s [10/14 13:31:06] ppdet.engine INFO: Epoch: [41] [420/523] learning_rate: 0.381141 loss_vfl: 0.904960 loss_bbox: 0.308310 loss_dfl: 0.200070 loss: 1.422085 eta: 3 days, 14:15:50 batch_cost: 2.2064 data_cost: 0.0012 ips: 25.3810 images/s [10/14 13:31:55] ppdet.engine INFO: Epoch: [41] [440/523] learning_rate: 0.381107 loss_vfl: 0.933724 loss_bbox: 0.325616 loss_dfl: 0.206835 loss: 1.475066 eta: 3 days, 14:15:08 batch_cost: 2.3386 data_cost: 0.0013 ips: 23.9460 images/s [10/14 13:32:43] ppdet.engine INFO: Epoch: [41] [460/523] learning_rate: 0.381073 loss_vfl: 0.915676 loss_bbox: 0.320145 loss_dfl: 0.200852 loss: 1.449430 eta: 3 days, 14:14:20 batch_cost: 2.2831 data_cost: 0.0027 ips: 24.5276 images/s [10/14 13:33:31] ppdet.engine INFO: Epoch: [41] [480/523] learning_rate: 0.381039 loss_vfl: 0.915081 loss_bbox: 0.303902 loss_dfl: 0.197866 loss: 1.443725 eta: 3 days, 14:13:30 batch_cost: 2.2656 data_cost: 0.0012 ips: 24.7173 images/s [10/14 13:34:19] ppdet.engine INFO: Epoch: [41] [500/523] learning_rate: 0.381005 loss_vfl: 0.912306 loss_bbox: 0.309752 loss_dfl: 0.193656 loss: 1.415938 eta: 3 days, 14:12:42 batch_cost: 2.2854 data_cost: 0.0013 ips: 24.5034 images/s [10/14 13:35:01] ppdet.engine INFO: Epoch: [41] [520/523] learning_rate: 0.380971 loss_vfl: 0.917347 loss_bbox: 0.318437 loss_dfl: 0.198278 loss: 1.438172 eta: 3 days, 14:11:24 batch_cost: 2.0394 data_cost: 0.0012 ips: 27.4590 images/s [10/14 13:35:28] ppdet.engine INFO: Epoch: [42] [ 0/523] learning_rate: 0.380965 loss_vfl: 0.917347 loss_bbox: 0.317686 loss_dfl: 0.198278 loss: 1.429655 eta: 3 days, 14:12:54 batch_cost: 2.8059 data_cost: 0.2709 ips: 19.9580 images/s [10/14 13:36:18] ppdet.engine INFO: Epoch: [42] [ 20/523] learning_rate: 0.380931 loss_vfl: 0.902585 loss_bbox: 0.317587 loss_dfl: 0.197801 loss: 1.426626 eta: 3 days, 14:12:17 batch_cost: 2.3749 data_cost: 0.0013 ips: 23.5803 images/s [10/14 13:37:07] ppdet.engine INFO: Epoch: [42] [ 40/523] learning_rate: 0.380897 loss_vfl: 0.897367 loss_bbox: 0.318523 loss_dfl: 0.196321 loss: 1.413998 eta: 3 days, 14:11:34 batch_cost: 2.3262 data_cost: 0.0012 ips: 24.0741 images/s [10/14 13:37:55] ppdet.engine INFO: Epoch: [42] [ 60/523] learning_rate: 0.380863 loss_vfl: 0.897040 loss_bbox: 0.310199 loss_dfl: 0.195662 loss: 1.424851 eta: 3 days, 14:10:48 batch_cost: 2.2994 data_cost: 0.0021 ips: 24.3543 images/s [10/14 13:38:43] ppdet.engine INFO: Epoch: [42] [ 80/523] learning_rate: 0.380829 loss_vfl: 0.915101 loss_bbox: 0.321932 loss_dfl: 0.200150 loss: 1.438766 eta: 3 days, 14:09:58 batch_cost: 2.2691 data_cost: 0.0012 ips: 24.6795 images/s [10/14 13:39:30] ppdet.engine INFO: Epoch: [42] [100/523] learning_rate: 0.380795 loss_vfl: 0.911787 loss_bbox: 0.322601 loss_dfl: 0.197668 loss: 1.431474 eta: 3 days, 14:09:10 batch_cost: 2.2855 data_cost: 0.0014 ips: 24.5018 images/s [10/14 13:40:19] ppdet.engine INFO: Epoch: [42] [120/523] learning_rate: 0.380760 loss_vfl: 0.896961 loss_bbox: 0.330275 loss_dfl: 0.206081 loss: 1.435854 eta: 3 days, 14:08:27 batch_cost: 2.3217 data_cost: 0.0013 ips: 24.1205 images/s [10/14 13:41:07] ppdet.engine INFO: Epoch: [42] [140/523] learning_rate: 0.380726 loss_vfl: 0.918092 loss_bbox: 0.314649 loss_dfl: 0.196502 loss: 1.435468 eta: 3 days, 14:07:34 batch_cost: 2.2471 data_cost: 0.0057 ips: 24.9212 images/s [10/14 13:41:56] ppdet.engine INFO: Epoch: [42] [160/523] learning_rate: 0.380692 loss_vfl: 0.890215 loss_bbox: 0.321606 loss_dfl: 0.203757 loss: 1.424006 eta: 3 days, 14:06:53 batch_cost: 2.3428 data_cost: 0.0013 ips: 23.9033 images/s [10/14 13:42:44] ppdet.engine INFO: Epoch: [42] [180/523] learning_rate: 0.380657 loss_vfl: 0.911404 loss_bbox: 0.316492 loss_dfl: 0.191634 loss: 1.452034 eta: 3 days, 14:06:06 batch_cost: 2.2903 data_cost: 0.0013 ips: 24.4510 images/s [10/14 13:43:31] ppdet.engine INFO: Epoch: [42] [200/523] learning_rate: 0.380623 loss_vfl: 0.913862 loss_bbox: 0.318980 loss_dfl: 0.193335 loss: 1.439969 eta: 3 days, 14:05:19 batch_cost: 2.2885 data_cost: 0.0017 ips: 24.4707 images/s [10/14 13:44:21] ppdet.engine INFO: Epoch: [42] [220/523] learning_rate: 0.380589 loss_vfl: 0.902320 loss_bbox: 0.317202 loss_dfl: 0.198898 loss: 1.423985 eta: 3 days, 14:04:37 batch_cost: 2.3351 data_cost: 0.0013 ips: 23.9823 images/s [10/14 13:45:08] ppdet.engine INFO: Epoch: [42] [240/523] learning_rate: 0.380554 loss_vfl: 0.914985 loss_bbox: 0.306757 loss_dfl: 0.193376 loss: 1.424160 eta: 3 days, 14:03:47 batch_cost: 2.2690 data_cost: 0.0012 ips: 24.6807 images/s [10/14 13:45:56] ppdet.engine INFO: Epoch: [42] 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loss_bbox: 0.313775 loss_dfl: 0.198325 loss: 1.411892 eta: 3 days, 13:59:27 batch_cost: 2.2673 data_cost: 0.0014 ips: 24.6992 images/s [10/14 13:49:52] ppdet.engine INFO: Epoch: [42] [360/523] learning_rate: 0.380347 loss_vfl: 0.902632 loss_bbox: 0.322883 loss_dfl: 0.196366 loss: 1.442211 eta: 3 days, 13:58:37 batch_cost: 2.2707 data_cost: 0.0013 ips: 24.6624 images/s [10/14 13:50:41] ppdet.engine INFO: Epoch: [42] [380/523] learning_rate: 0.380312 loss_vfl: 0.930086 loss_bbox: 0.298161 loss_dfl: 0.191124 loss: 1.433902 eta: 3 days, 13:57:58 batch_cost: 2.3574 data_cost: 0.0012 ips: 23.7551 images/s [10/14 13:51:27] ppdet.engine INFO: Epoch: [42] [400/523] learning_rate: 0.380278 loss_vfl: 0.914392 loss_bbox: 0.314602 loss_dfl: 0.198719 loss: 1.426994 eta: 3 days, 13:56:58 batch_cost: 2.1842 data_cost: 0.0012 ips: 25.6388 images/s [10/14 13:52:15] ppdet.engine INFO: Epoch: [42] [420/523] learning_rate: 0.380243 loss_vfl: 0.931257 loss_bbox: 0.292322 loss_dfl: 0.187331 loss: 1.422972 eta: 3 days, 13:56:09 batch_cost: 2.2705 data_cost: 0.0013 ips: 24.6638 images/s [10/14 13:53:02] ppdet.engine INFO: Epoch: [42] [440/523] learning_rate: 0.380208 loss_vfl: 0.916715 loss_bbox: 0.312718 loss_dfl: 0.194090 loss: 1.450611 eta: 3 days, 13:55:14 batch_cost: 2.2289 data_cost: 0.0013 ips: 25.1244 images/s [10/14 13:53:49] ppdet.engine INFO: Epoch: [42] [460/523] learning_rate: 0.380173 loss_vfl: 0.907371 loss_bbox: 0.332555 loss_dfl: 0.205139 loss: 1.458766 eta: 3 days, 13:54:25 batch_cost: 2.2737 data_cost: 0.0013 ips: 24.6297 images/s [10/14 13:54:39] ppdet.engine INFO: Epoch: [42] [480/523] learning_rate: 0.380139 loss_vfl: 0.916543 loss_bbox: 0.313653 loss_dfl: 0.203252 loss: 1.434010 eta: 3 days, 13:53:42 batch_cost: 2.3293 data_cost: 0.0014 ips: 24.0415 images/s [10/14 13:55:26] ppdet.engine INFO: Epoch: [42] [500/523] learning_rate: 0.380104 loss_vfl: 0.932782 loss_bbox: 0.302507 loss_dfl: 0.191805 loss: 1.438278 eta: 3 days, 13:52:49 batch_cost: 2.2378 data_cost: 0.0019 ips: 25.0246 images/s [10/14 13:56:09] ppdet.engine INFO: Epoch: [42] [520/523] learning_rate: 0.380069 loss_vfl: 0.922524 loss_bbox: 0.336281 loss_dfl: 0.211370 loss: 1.474352 eta: 3 days, 13:51:31 batch_cost: 2.0352 data_cost: 0.0012 ips: 27.5154 images/s [10/14 13:56:35] ppdet.engine INFO: Epoch: [43] [ 0/523] learning_rate: 0.380064 loss_vfl: 0.922073 loss_bbox: 0.336281 loss_dfl: 0.211370 loss: 1.464328 eta: 3 days, 13:52:58 batch_cost: 2.8466 data_cost: 0.3716 ips: 19.6725 images/s [10/14 13:57:27] ppdet.engine INFO: Epoch: [43] [ 20/523] learning_rate: 0.380029 loss_vfl: 0.913836 loss_bbox: 0.322168 loss_dfl: 0.197243 loss: 1.421896 eta: 3 days, 13:52:25 batch_cost: 2.4161 data_cost: 0.0021 ips: 23.1775 images/s [10/14 13:58:16] ppdet.engine INFO: Epoch: [43] [ 40/523] learning_rate: 0.379994 loss_vfl: 0.913729 loss_bbox: 0.318236 loss_dfl: 0.192749 loss: 1.415582 eta: 3 days, 13:51:41 batch_cost: 2.3107 data_cost: 0.0012 ips: 24.2347 images/s [10/14 13:59:03] ppdet.engine INFO: Epoch: [43] [ 60/523] learning_rate: 0.379959 loss_vfl: 0.900803 loss_bbox: 0.328640 loss_dfl: 0.201783 loss: 1.446605 eta: 3 days, 13:50:44 batch_cost: 2.2084 data_cost: 0.0013 ips: 25.3582 images/s [10/14 13:59:52] ppdet.engine INFO: Epoch: [43] [ 80/523] learning_rate: 0.379924 loss_vfl: 0.921317 loss_bbox: 0.325521 loss_dfl: 0.199525 loss: 1.438764 eta: 3 days, 13:50:07 batch_cost: 2.3760 data_cost: 0.0021 ips: 23.5686 images/s [10/14 14:00:42] ppdet.engine INFO: Epoch: [43] [100/523] learning_rate: 0.379889 loss_vfl: 0.908528 loss_bbox: 0.300774 loss_dfl: 0.195627 loss: 1.417586 eta: 3 days, 13:49:31 batch_cost: 2.3907 data_cost: 0.0018 ips: 23.4242 images/s [10/14 14:01:30] ppdet.engine INFO: Epoch: [43] [120/523] learning_rate: 0.379854 loss_vfl: 0.919919 loss_bbox: 0.326171 loss_dfl: 0.199946 loss: 1.428604 eta: 3 days, 13:48:41 batch_cost: 2.2641 data_cost: 0.0019 ips: 24.7342 images/s [10/14 14:02:18] ppdet.engine INFO: Epoch: [43] [140/523] learning_rate: 0.379819 loss_vfl: 0.908363 loss_bbox: 0.330424 loss_dfl: 0.203039 loss: 1.444337 eta: 3 days, 13:47:50 batch_cost: 2.2580 data_cost: 0.0013 ips: 24.8008 images/s [10/14 14:03:06] ppdet.engine INFO: Epoch: [43] [160/523] learning_rate: 0.379784 loss_vfl: 0.907381 loss_bbox: 0.309685 loss_dfl: 0.196582 loss: 1.401815 eta: 3 days, 13:47:06 batch_cost: 2.3200 data_cost: 0.0013 ips: 24.1383 images/s [10/14 14:03:53] ppdet.engine INFO: Epoch: [43] [180/523] learning_rate: 0.379749 loss_vfl: 0.923198 loss_bbox: 0.296043 loss_dfl: 0.194953 loss: 1.417796 eta: 3 days, 13:46:17 batch_cost: 2.2694 data_cost: 0.0012 ips: 24.6766 images/s [10/14 14:04:41] ppdet.engine INFO: Epoch: [43] [200/523] learning_rate: 0.379714 loss_vfl: 0.901491 loss_bbox: 0.326196 loss_dfl: 0.199314 loss: 1.453333 eta: 3 days, 13:45:25 batch_cost: 2.2492 data_cost: 0.0012 ips: 24.8972 images/s [10/14 14:05:28] ppdet.engine INFO: Epoch: [43] [220/523] learning_rate: 0.379679 loss_vfl: 0.931106 loss_bbox: 0.308547 loss_dfl: 0.192495 loss: 1.451010 eta: 3 days, 13:44:31 batch_cost: 2.2386 data_cost: 0.0012 ips: 25.0156 images/s [10/14 14:06:17] ppdet.engine INFO: Epoch: [43] [240/523] learning_rate: 0.379643 loss_vfl: 0.921109 loss_bbox: 0.332619 loss_dfl: 0.207932 loss: 1.464861 eta: 3 days, 13:43:52 batch_cost: 2.3530 data_cost: 0.0014 ips: 23.7995 images/s [10/14 14:07:05] ppdet.engine INFO: Epoch: [43] [260/523] learning_rate: 0.379608 loss_vfl: 0.913080 loss_bbox: 0.319659 loss_dfl: 0.200868 loss: 1.418805 eta: 3 days, 13:43:03 batch_cost: 2.2769 data_cost: 0.0059 ips: 24.5951 images/s [10/14 14:07:52] ppdet.engine INFO: Epoch: [43] [280/523] learning_rate: 0.379573 loss_vfl: 0.901016 loss_bbox: 0.311596 loss_dfl: 0.197880 loss: 1.407709 eta: 3 days, 13:42:13 batch_cost: 2.2680 data_cost: 0.0012 ips: 24.6916 images/s [10/14 14:08:40] ppdet.engine INFO: Epoch: [43] [300/523] learning_rate: 0.379538 loss_vfl: 0.923155 loss_bbox: 0.320143 loss_dfl: 0.199211 loss: 1.424345 eta: 3 days, 13:41:28 batch_cost: 2.3078 data_cost: 0.0012 ips: 24.2652 images/s [10/14 14:09:28] ppdet.engine INFO: Epoch: [43] [320/523] learning_rate: 0.379502 loss_vfl: 0.898142 loss_bbox: 0.327808 loss_dfl: 0.202652 loss: 1.429112 eta: 3 days, 13:40:37 batch_cost: 2.2591 data_cost: 0.0012 ips: 24.7887 images/s [10/14 14:10:17] ppdet.engine INFO: Epoch: [43] [340/523] learning_rate: 0.379467 loss_vfl: 0.939044 loss_bbox: 0.336909 loss_dfl: 0.207895 loss: 1.486729 eta: 3 days, 13:39:58 batch_cost: 2.3583 data_cost: 0.0013 ips: 23.7463 images/s [10/14 14:11:07] ppdet.engine INFO: Epoch: [43] [360/523] learning_rate: 0.379432 loss_vfl: 0.905628 loss_bbox: 0.312131 loss_dfl: 0.196467 loss: 1.410724 eta: 3 days, 13:39:20 batch_cost: 2.3688 data_cost: 0.0013 ips: 23.6405 images/s [10/14 14:11:54] ppdet.engine INFO: Epoch: [43] [380/523] learning_rate: 0.379396 loss_vfl: 0.923094 loss_bbox: 0.316362 loss_dfl: 0.197500 loss: 1.422947 eta: 3 days, 13:38:30 batch_cost: 2.2640 data_cost: 0.0012 ips: 24.7348 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loss_bbox: 0.313136 loss_dfl: 0.199718 loss: 1.419098 eta: 3 days, 13:33:45 batch_cost: 2.4145 data_cost: 0.0014 ips: 23.1931 images/s [10/14 14:19:35] ppdet.engine INFO: Epoch: [44] [ 40/523] learning_rate: 0.379071 loss_vfl: 0.900112 loss_bbox: 0.318119 loss_dfl: 0.202846 loss: 1.414980 eta: 3 days, 13:33:04 batch_cost: 2.3411 data_cost: 0.0013 ips: 23.9207 images/s [10/14 14:20:23] ppdet.engine INFO: Epoch: [44] [ 60/523] learning_rate: 0.379035 loss_vfl: 0.902923 loss_bbox: 0.303400 loss_dfl: 0.193486 loss: 1.406441 eta: 3 days, 13:32:16 batch_cost: 2.2855 data_cost: 0.0013 ips: 24.5023 images/s [10/14 14:21:10] ppdet.engine INFO: Epoch: [44] [ 80/523] learning_rate: 0.379000 loss_vfl: 0.934312 loss_bbox: 0.300665 loss_dfl: 0.196057 loss: 1.437427 eta: 3 days, 13:31:23 batch_cost: 2.2405 data_cost: 0.0012 ips: 24.9942 images/s [10/14 14:21:57] ppdet.engine INFO: Epoch: [44] [100/523] learning_rate: 0.378964 loss_vfl: 0.924228 loss_bbox: 0.319846 loss_dfl: 0.197824 loss: 1.445305 eta: 3 days, 13:30:30 batch_cost: 2.2396 data_cost: 0.0012 ips: 25.0049 images/s [10/14 14:22:44] ppdet.engine INFO: Epoch: [44] [120/523] learning_rate: 0.378928 loss_vfl: 0.907351 loss_bbox: 0.329741 loss_dfl: 0.203787 loss: 1.436427 eta: 3 days, 13:29:41 batch_cost: 2.2736 data_cost: 0.0013 ips: 24.6302 images/s [10/14 14:23:32] ppdet.engine INFO: Epoch: [44] [140/523] learning_rate: 0.378892 loss_vfl: 0.918209 loss_bbox: 0.299174 loss_dfl: 0.197280 loss: 1.423577 eta: 3 days, 13:28:53 batch_cost: 2.2859 data_cost: 0.0013 ips: 24.4977 images/s [10/14 14:24:20] ppdet.engine INFO: Epoch: [44] [160/523] learning_rate: 0.378857 loss_vfl: 0.921921 loss_bbox: 0.329851 loss_dfl: 0.201471 loss: 1.440868 eta: 3 days, 13:28:04 batch_cost: 2.2719 data_cost: 0.0012 ips: 24.6485 images/s [10/14 14:25:07] ppdet.engine INFO: Epoch: [44] [180/523] learning_rate: 0.378821 loss_vfl: 0.913090 loss_bbox: 0.307994 loss_dfl: 0.194288 loss: 1.399262 eta: 3 days, 13:27:15 batch_cost: 2.2797 data_cost: 0.0012 ips: 24.5642 images/s [10/14 14:25:56] ppdet.engine INFO: Epoch: [44] [200/523] learning_rate: 0.378785 loss_vfl: 0.924334 loss_bbox: 0.327178 loss_dfl: 0.202200 loss: 1.467862 eta: 3 days, 13:26:31 batch_cost: 2.3178 data_cost: 0.0012 ips: 24.1605 images/s [10/14 14:26:45] ppdet.engine INFO: Epoch: [44] [220/523] learning_rate: 0.378749 loss_vfl: 0.915554 loss_bbox: 0.328115 loss_dfl: 0.212064 loss: 1.472255 eta: 3 days, 13:25:53 batch_cost: 2.3705 data_cost: 0.0012 ips: 23.6236 images/s [10/14 14:27:33] ppdet.engine INFO: Epoch: [44] [240/523] learning_rate: 0.378713 loss_vfl: 0.920659 loss_bbox: 0.336288 loss_dfl: 0.205910 loss: 1.437346 eta: 3 days, 13:25:03 batch_cost: 2.2693 data_cost: 0.0012 ips: 24.6772 images/s [10/14 14:28:23] ppdet.engine INFO: Epoch: [44] [260/523] learning_rate: 0.378677 loss_vfl: 0.913457 loss_bbox: 0.304062 loss_dfl: 0.192499 loss: 1.409617 eta: 3 days, 13:24:25 batch_cost: 2.3666 data_cost: 0.0012 ips: 23.6628 images/s [10/14 14:29:12] ppdet.engine INFO: Epoch: [44] [280/523] learning_rate: 0.378641 loss_vfl: 0.918977 loss_bbox: 0.307106 loss_dfl: 0.191333 loss: 1.428644 eta: 3 days, 13:23:47 batch_cost: 2.3730 data_cost: 0.0012 ips: 23.5991 images/s [10/14 14:30:00] ppdet.engine INFO: Epoch: [44] [300/523] learning_rate: 0.378605 loss_vfl: 0.933609 loss_bbox: 0.296760 loss_dfl: 0.196025 loss: 1.439543 eta: 3 days, 13:22:58 batch_cost: 2.2713 data_cost: 0.0012 ips: 24.6559 images/s [10/14 14:30:48] ppdet.engine INFO: Epoch: [44] [320/523] learning_rate: 0.378569 loss_vfl: 0.916152 loss_bbox: 0.300530 loss_dfl: 0.191369 loss: 1.416574 eta: 3 days, 13:22:12 batch_cost: 2.3049 data_cost: 0.0012 ips: 24.2958 images/s [10/14 14:31:36] ppdet.engine INFO: Epoch: [44] [340/523] learning_rate: 0.378533 loss_vfl: 0.925045 loss_bbox: 0.330377 loss_dfl: 0.198963 loss: 1.454449 eta: 3 days, 13:21:22 batch_cost: 2.2637 data_cost: 0.0012 ips: 24.7380 images/s [10/14 14:32:25] ppdet.engine INFO: Epoch: [44] [360/523] learning_rate: 0.378497 loss_vfl: 0.921377 loss_bbox: 0.302753 loss_dfl: 0.190843 loss: 1.396698 eta: 3 days, 13:20:40 batch_cost: 2.3405 data_cost: 0.0013 ips: 23.9267 images/s [10/14 14:33:12] ppdet.engine INFO: Epoch: [44] [380/523] learning_rate: 0.378461 loss_vfl: 0.905000 loss_bbox: 0.322227 loss_dfl: 0.199979 loss: 1.420996 eta: 3 days, 13:19:50 batch_cost: 2.2599 data_cost: 0.0013 ips: 24.7796 images/s [10/14 14:34:00] ppdet.engine INFO: Epoch: [44] [400/523] learning_rate: 0.378424 loss_vfl: 0.925212 loss_bbox: 0.312092 loss_dfl: 0.201425 loss: 1.444622 eta: 3 days, 13:18:59 batch_cost: 2.2613 data_cost: 0.0013 ips: 24.7648 images/s [10/14 14:34:48] ppdet.engine INFO: Epoch: [44] [420/523] learning_rate: 0.378388 loss_vfl: 0.915601 loss_bbox: 0.323219 loss_dfl: 0.196401 loss: 1.434132 eta: 3 days, 13:18:12 batch_cost: 2.2910 data_cost: 0.0012 ips: 24.4431 images/s [10/14 14:35:36] ppdet.engine INFO: Epoch: [44] [440/523] learning_rate: 0.378352 loss_vfl: 0.930754 loss_bbox: 0.302368 loss_dfl: 0.189855 loss: 1.425642 eta: 3 days, 13:17:24 batch_cost: 2.2840 data_cost: 0.0012 ips: 24.5185 images/s [10/14 14:36:23] ppdet.engine INFO: Epoch: [44] [460/523] learning_rate: 0.378316 loss_vfl: 0.926887 loss_bbox: 0.312475 loss_dfl: 0.195165 loss: 1.401971 eta: 3 days, 13:16:34 batch_cost: 2.2665 data_cost: 0.0012 ips: 24.7074 images/s [10/14 14:37:12] ppdet.engine INFO: Epoch: [44] [480/523] learning_rate: 0.378279 loss_vfl: 0.915965 loss_bbox: 0.306580 loss_dfl: 0.196407 loss: 1.424578 eta: 3 days, 13:15:54 batch_cost: 2.3510 data_cost: 0.0013 ips: 23.8192 images/s [10/14 14:38:01] ppdet.engine INFO: Epoch: [44] [500/523] learning_rate: 0.378243 loss_vfl: 0.913919 loss_bbox: 0.306624 loss_dfl: 0.194904 loss: 1.416857 eta: 3 days, 13:15:14 batch_cost: 2.3529 data_cost: 0.0013 ips: 23.8007 images/s [10/14 14:38:44] ppdet.engine INFO: Epoch: [44] [520/523] learning_rate: 0.378207 loss_vfl: 0.911996 loss_bbox: 0.315853 loss_dfl: 0.201337 loss: 1.433487 eta: 3 days, 13:13:59 batch_cost: 2.0437 data_cost: 0.0012 ips: 27.4012 images/s [10/14 14:39:15] ppdet.engine INFO: Epoch: [45] [ 0/523] learning_rate: 0.378201 loss_vfl: 0.912201 loss_bbox: 0.318425 loss_dfl: 0.199598 loss: 1.433487 eta: 3 days, 13:15:46 batch_cost: 3.0416 data_cost: 0.7247 ips: 18.4116 images/s [10/14 14:40:08] ppdet.engine INFO: Epoch: [45] [ 20/523] learning_rate: 0.378165 loss_vfl: 0.913245 loss_bbox: 0.322521 loss_dfl: 0.197710 loss: 1.430861 eta: 3 days, 13:15:24 batch_cost: 2.5089 data_cost: 0.0019 ips: 22.3206 images/s [10/14 14:40:56] ppdet.engine INFO: Epoch: [45] [ 40/523] learning_rate: 0.378129 loss_vfl: 0.924137 loss_bbox: 0.294106 loss_dfl: 0.185159 loss: 1.406930 eta: 3 days, 13:14:37 batch_cost: 2.2939 data_cost: 0.0016 ips: 24.4125 images/s [10/14 14:41:44] ppdet.engine INFO: Epoch: [45] [ 60/523] learning_rate: 0.378092 loss_vfl: 0.910443 loss_bbox: 0.319420 loss_dfl: 0.200897 loss: 1.426272 eta: 3 days, 13:13:54 batch_cost: 2.3259 data_cost: 0.0014 ips: 24.0762 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loss_bbox: 0.306357 loss_dfl: 0.194598 loss: 1.404331 eta: 3 days, 13:07:08 batch_cost: 2.3025 data_cost: 0.0013 ips: 24.3216 images/s [10/14 14:49:48] ppdet.engine INFO: Epoch: [45] [260/523] learning_rate: 0.377726 loss_vfl: 0.916478 loss_bbox: 0.309386 loss_dfl: 0.194299 loss: 1.436128 eta: 3 days, 13:06:20 batch_cost: 2.2871 data_cost: 0.0013 ips: 24.4853 images/s [10/14 14:50:37] ppdet.engine INFO: Epoch: [45] [280/523] learning_rate: 0.377689 loss_vfl: 0.906469 loss_bbox: 0.317107 loss_dfl: 0.196612 loss: 1.436175 eta: 3 days, 13:05:38 batch_cost: 2.3381 data_cost: 0.0013 ips: 23.9506 images/s [10/14 14:51:25] ppdet.engine INFO: Epoch: [45] [300/523] learning_rate: 0.377653 loss_vfl: 0.889931 loss_bbox: 0.308086 loss_dfl: 0.197183 loss: 1.439863 eta: 3 days, 13:04:48 batch_cost: 2.2634 data_cost: 0.0013 ips: 24.7411 images/s [10/14 14:52:14] ppdet.engine INFO: Epoch: [45] [320/523] learning_rate: 0.377616 loss_vfl: 0.916740 loss_bbox: 0.324588 loss_dfl: 0.207563 loss: 1.436814 eta: 3 days, 13:04:08 batch_cost: 2.3523 data_cost: 0.0025 ips: 23.8069 images/s [10/14 14:53:02] ppdet.engine INFO: Epoch: [45] [340/523] learning_rate: 0.377579 loss_vfl: 0.898855 loss_bbox: 0.309167 loss_dfl: 0.198017 loss: 1.407093 eta: 3 days, 13:03:22 batch_cost: 2.3095 data_cost: 0.0013 ips: 24.2477 images/s [10/14 14:53:50] ppdet.engine INFO: Epoch: [45] [360/523] learning_rate: 0.377542 loss_vfl: 0.929772 loss_bbox: 0.318943 loss_dfl: 0.197568 loss: 1.422498 eta: 3 days, 13:02:34 batch_cost: 2.2782 data_cost: 0.0013 ips: 24.5811 images/s [10/14 14:54:39] ppdet.engine INFO: Epoch: [45] [380/523] learning_rate: 0.377505 loss_vfl: 0.932202 loss_bbox: 0.315988 loss_dfl: 0.202849 loss: 1.463210 eta: 3 days, 13:01:53 batch_cost: 2.3509 data_cost: 0.0012 ips: 23.8211 images/s [10/14 14:55:29] ppdet.engine INFO: Epoch: [45] [400/523] learning_rate: 0.377468 loss_vfl: 0.912025 loss_bbox: 0.333988 loss_dfl: 0.203921 loss: 1.432933 eta: 3 days, 13:01:14 batch_cost: 2.3650 data_cost: 0.0012 ips: 23.6784 images/s [10/14 14:56:17] ppdet.engine INFO: Epoch: [45] [420/523] learning_rate: 0.377431 loss_vfl: 0.917829 loss_bbox: 0.311546 loss_dfl: 0.197402 loss: 1.412397 eta: 3 days, 13:00:29 batch_cost: 2.3093 data_cost: 0.0012 ips: 24.2494 images/s [10/14 14:57:06] ppdet.engine INFO: Epoch: [45] [440/523] learning_rate: 0.377394 loss_vfl: 0.926033 loss_bbox: 0.320512 loss_dfl: 0.199278 loss: 1.447286 eta: 3 days, 12:59:44 batch_cost: 2.3133 data_cost: 0.0015 ips: 24.2074 images/s [10/14 14:57:54] ppdet.engine INFO: Epoch: [45] [460/523] learning_rate: 0.377357 loss_vfl: 0.905969 loss_bbox: 0.310069 loss_dfl: 0.199943 loss: 1.440931 eta: 3 days, 12:58:59 batch_cost: 2.3084 data_cost: 0.0013 ips: 24.2592 images/s [10/14 14:58:44] ppdet.engine INFO: Epoch: [45] [480/523] learning_rate: 0.377320 loss_vfl: 0.955802 loss_bbox: 0.317105 loss_dfl: 0.200247 loss: 1.470239 eta: 3 days, 12:58:16 batch_cost: 2.3301 data_cost: 0.0012 ips: 24.0337 images/s [10/14 14:59:31] ppdet.engine INFO: Epoch: [45] [500/523] learning_rate: 0.377283 loss_vfl: 0.931529 loss_bbox: 0.320213 loss_dfl: 0.200630 loss: 1.447403 eta: 3 days, 12:57:28 batch_cost: 2.2867 data_cost: 0.0012 ips: 24.4890 images/s [10/14 15:00:14] ppdet.engine INFO: Epoch: [45] [520/523] learning_rate: 0.377246 loss_vfl: 0.932455 loss_bbox: 0.305651 loss_dfl: 0.198014 loss: 1.447904 eta: 3 days, 12:56:14 batch_cost: 2.0472 data_cost: 0.0013 ips: 27.3547 images/s [10/14 15:00:44] ppdet.engine INFO: Epoch: [46] [ 0/523] learning_rate: 0.377241 loss_vfl: 0.923618 loss_bbox: 0.295565 loss_dfl: 0.188422 loss: 1.435144 eta: 3 days, 12:57:54 batch_cost: 3.0144 data_cost: 0.7922 ips: 18.5774 images/s [10/14 15:01:32] ppdet.engine INFO: Epoch: [46] [ 20/523] learning_rate: 0.377204 loss_vfl: 0.904356 loss_bbox: 0.318504 loss_dfl: 0.201278 loss: 1.424680 eta: 3 days, 12:57:07 batch_cost: 2.2981 data_cost: 0.0014 ips: 24.3676 images/s [10/14 15:02:21] ppdet.engine INFO: Epoch: [46] [ 40/523] learning_rate: 0.377166 loss_vfl: 0.889839 loss_bbox: 0.314347 loss_dfl: 0.195505 loss: 1.411471 eta: 3 days, 12:56:22 batch_cost: 2.3112 data_cost: 0.0012 ips: 24.2297 images/s [10/14 15:03:10] ppdet.engine INFO: Epoch: [46] [ 60/523] learning_rate: 0.377129 loss_vfl: 0.900456 loss_bbox: 0.322439 loss_dfl: 0.197058 loss: 1.404665 eta: 3 days, 12:55:37 batch_cost: 2.3148 data_cost: 0.0012 ips: 24.1922 images/s [10/14 15:03:57] ppdet.engine INFO: Epoch: [46] [ 80/523] learning_rate: 0.377092 loss_vfl: 0.911576 loss_bbox: 0.325431 loss_dfl: 0.199675 loss: 1.417013 eta: 3 days, 12:54:46 batch_cost: 2.2528 data_cost: 0.0013 ips: 24.8584 images/s [10/14 15:04:44] ppdet.engine INFO: Epoch: [46] [100/523] learning_rate: 0.377055 loss_vfl: 0.905105 loss_bbox: 0.319989 loss_dfl: 0.209428 loss: 1.450169 eta: 3 days, 12:53:50 batch_cost: 2.2152 data_cost: 0.0012 ips: 25.2795 images/s [10/14 15:05:33] ppdet.engine INFO: Epoch: [46] [120/523] learning_rate: 0.377018 loss_vfl: 0.910620 loss_bbox: 0.297533 loss_dfl: 0.197138 loss: 1.414221 eta: 3 days, 12:53:08 batch_cost: 2.3421 data_cost: 0.0013 ips: 23.9107 images/s [10/14 15:06:20] ppdet.engine INFO: Epoch: [46] [140/523] learning_rate: 0.376980 loss_vfl: 0.888782 loss_bbox: 0.320904 loss_dfl: 0.198566 loss: 1.433194 eta: 3 days, 12:52:14 batch_cost: 2.2244 data_cost: 0.0015 ips: 25.1751 images/s [10/14 15:07:06] ppdet.engine INFO: Epoch: [46] [160/523] learning_rate: 0.376943 loss_vfl: 0.902942 loss_bbox: 0.315466 loss_dfl: 0.202295 loss: 1.418512 eta: 3 days, 12:51:18 batch_cost: 2.2089 data_cost: 0.0013 ips: 25.3517 images/s [10/14 15:07:55] ppdet.engine INFO: Epoch: [46] [180/523] learning_rate: 0.376906 loss_vfl: 0.901279 loss_bbox: 0.300494 loss_dfl: 0.188600 loss: 1.413049 eta: 3 days, 12:50:35 batch_cost: 2.3322 data_cost: 0.0012 ips: 24.0117 images/s [10/14 15:08:42] ppdet.engine INFO: Epoch: [46] [200/523] learning_rate: 0.376868 loss_vfl: 0.899740 loss_bbox: 0.327330 loss_dfl: 0.203887 loss: 1.424863 eta: 3 days, 12:49:44 batch_cost: 2.2590 data_cost: 0.0018 ips: 24.7897 images/s [10/14 15:09:29] ppdet.engine INFO: Epoch: [46] [220/523] learning_rate: 0.376831 loss_vfl: 0.913558 loss_bbox: 0.306385 loss_dfl: 0.192649 loss: 1.401925 eta: 3 days, 12:48:50 batch_cost: 2.2341 data_cost: 0.0012 ips: 25.0660 images/s [10/14 15:10:19] ppdet.engine INFO: Epoch: [46] [240/523] learning_rate: 0.376793 loss_vfl: 0.932027 loss_bbox: 0.285137 loss_dfl: 0.188616 loss: 1.426068 eta: 3 days, 12:48:12 batch_cost: 2.3700 data_cost: 0.0014 ips: 23.6289 images/s [10/14 15:11:07] ppdet.engine INFO: Epoch: [46] [260/523] learning_rate: 0.376756 loss_vfl: 0.915392 loss_bbox: 0.287507 loss_dfl: 0.187217 loss: 1.393366 eta: 3 days, 12:47:23 batch_cost: 2.2783 data_cost: 0.0012 ips: 24.5795 images/s [10/14 15:11:54] ppdet.engine INFO: Epoch: [46] [280/523] learning_rate: 0.376718 loss_vfl: 0.917006 loss_bbox: 0.321844 loss_dfl: 0.204862 loss: 1.466867 eta: 3 days, 12:46:30 batch_cost: 2.2389 data_cost: 0.0013 ips: 25.0125 images/s [10/14 15:12:42] ppdet.engine INFO: Epoch: [46] [300/523] learning_rate: 0.376681 loss_vfl: 0.902418 loss_bbox: 0.326268 loss_dfl: 0.199380 loss: 1.440864 eta: 3 days, 12:45:47 batch_cost: 2.3302 data_cost: 0.0012 ips: 24.0323 images/s [10/14 15:13:31] ppdet.engine INFO: Epoch: [46] [320/523] learning_rate: 0.376643 loss_vfl: 0.916845 loss_bbox: 0.307017 loss_dfl: 0.195989 loss: 1.420700 eta: 3 days, 12:45:02 batch_cost: 2.3099 data_cost: 0.0024 ips: 24.2439 images/s [10/14 15:14:20] ppdet.engine INFO: Epoch: [46] [340/523] learning_rate: 0.376606 loss_vfl: 0.919734 loss_bbox: 0.311114 loss_dfl: 0.199542 loss: 1.426045 eta: 3 days, 12:44:18 batch_cost: 2.3202 data_cost: 0.0013 ips: 24.1363 images/s [10/14 15:15:09] ppdet.engine INFO: Epoch: [46] [360/523] learning_rate: 0.376568 loss_vfl: 0.915637 loss_bbox: 0.322308 loss_dfl: 0.197216 loss: 1.422136 eta: 3 days, 12:43:34 batch_cost: 2.3232 data_cost: 0.0023 ips: 24.1046 images/s [10/14 15:15:57] ppdet.engine INFO: Epoch: [46] 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loss_bbox: 0.306786 loss_dfl: 0.196441 loss: 1.437713 eta: 3 days, 12:39:40 batch_cost: 2.2945 data_cost: 0.0012 ips: 24.4060 images/s [10/14 15:19:56] ppdet.engine INFO: Epoch: [46] [480/523] learning_rate: 0.376342 loss_vfl: 0.912381 loss_bbox: 0.330931 loss_dfl: 0.207485 loss: 1.453036 eta: 3 days, 12:38:47 batch_cost: 2.2294 data_cost: 0.0012 ips: 25.1190 images/s [10/14 15:20:43] ppdet.engine INFO: Epoch: [46] [500/523] learning_rate: 0.376304 loss_vfl: 0.916710 loss_bbox: 0.322223 loss_dfl: 0.202961 loss: 1.444807 eta: 3 days, 12:37:56 batch_cost: 2.2576 data_cost: 0.0012 ips: 24.8049 images/s [10/14 15:21:27] ppdet.engine INFO: Epoch: [46] [520/523] learning_rate: 0.376266 loss_vfl: 0.917038 loss_bbox: 0.301549 loss_dfl: 0.200794 loss: 1.448633 eta: 3 days, 12:36:43 batch_cost: 2.0509 data_cost: 0.0011 ips: 27.3047 images/s [10/14 15:21:52] ppdet.engine INFO: Epoch: [47] [ 0/523] learning_rate: 0.376261 loss_vfl: 0.915901 loss_bbox: 0.301549 loss_dfl: 0.200794 loss: 1.448633 eta: 3 days, 12:37:52 batch_cost: 2.7511 data_cost: 0.3573 ips: 20.3556 images/s [10/14 15:22:44] ppdet.engine INFO: Epoch: [47] [ 20/523] learning_rate: 0.376223 loss_vfl: 0.889837 loss_bbox: 0.335270 loss_dfl: 0.209876 loss: 1.435208 eta: 3 days, 12:37:25 batch_cost: 2.4804 data_cost: 0.0029 ips: 22.5767 images/s [10/14 15:23:34] ppdet.engine INFO: Epoch: [47] [ 40/523] learning_rate: 0.376185 loss_vfl: 0.926563 loss_bbox: 0.312228 loss_dfl: 0.201314 loss: 1.430090 eta: 3 days, 12:36:49 batch_cost: 2.3950 data_cost: 0.0012 ips: 23.3818 images/s [10/14 15:24:22] ppdet.engine INFO: Epoch: [47] [ 60/523] learning_rate: 0.376147 loss_vfl: 0.913491 loss_bbox: 0.347061 loss_dfl: 0.209432 loss: 1.461597 eta: 3 days, 12:36:03 batch_cost: 2.2988 data_cost: 0.0012 ips: 24.3608 images/s [10/14 15:25:09] ppdet.engine INFO: Epoch: [47] [ 80/523] learning_rate: 0.376109 loss_vfl: 0.901471 loss_bbox: 0.311695 loss_dfl: 0.196628 loss: 1.423935 eta: 3 days, 12:35:13 batch_cost: 2.2662 data_cost: 0.0024 ips: 24.7109 images/s [10/14 15:25:56] ppdet.engine INFO: Epoch: [47] [100/523] learning_rate: 0.376071 loss_vfl: 0.904729 loss_bbox: 0.306113 loss_dfl: 0.198176 loss: 1.418977 eta: 3 days, 12:34:20 batch_cost: 2.2415 data_cost: 0.0026 ips: 24.9835 images/s [10/14 15:26:43] ppdet.engine INFO: Epoch: [47] [120/523] learning_rate: 0.376033 loss_vfl: 0.937709 loss_bbox: 0.307542 loss_dfl: 0.194056 loss: 1.442449 eta: 3 days, 12:33:26 batch_cost: 2.2303 data_cost: 0.0019 ips: 25.1082 images/s [10/14 15:27:32] ppdet.engine INFO: Epoch: [47] [140/523] learning_rate: 0.375995 loss_vfl: 0.910926 loss_bbox: 0.307318 loss_dfl: 0.191512 loss: 1.401901 eta: 3 days, 12:32:40 batch_cost: 2.3041 data_cost: 0.0012 ips: 24.3041 images/s [10/14 15:28:20] ppdet.engine INFO: Epoch: [47] [160/523] learning_rate: 0.375957 loss_vfl: 0.904570 loss_bbox: 0.333044 loss_dfl: 0.206387 loss: 1.439596 eta: 3 days, 12:31:50 batch_cost: 2.2609 data_cost: 0.0012 ips: 24.7690 images/s [10/14 15:29:07] ppdet.engine INFO: Epoch: [47] [180/523] learning_rate: 0.375919 loss_vfl: 0.918541 loss_bbox: 0.316511 loss_dfl: 0.193825 loss: 1.422813 eta: 3 days, 12:30:57 batch_cost: 2.2359 data_cost: 0.0013 ips: 25.0454 images/s [10/14 15:29:54] ppdet.engine INFO: Epoch: [47] [200/523] learning_rate: 0.375881 loss_vfl: 0.930060 loss_bbox: 0.313432 loss_dfl: 0.194923 loss: 1.435897 eta: 3 days, 12:30:04 batch_cost: 2.2438 data_cost: 0.0012 ips: 24.9571 images/s [10/14 15:30:42] ppdet.engine INFO: Epoch: [47] [220/523] learning_rate: 0.375843 loss_vfl: 0.920665 loss_bbox: 0.293965 loss_dfl: 0.195368 loss: 1.427509 eta: 3 days, 12:29:14 batch_cost: 2.2609 data_cost: 0.0012 ips: 24.7692 images/s [10/14 15:31:31] ppdet.engine INFO: Epoch: [47] [240/523] learning_rate: 0.375804 loss_vfl: 0.911140 loss_bbox: 0.314125 loss_dfl: 0.200956 loss: 1.425608 eta: 3 days, 12:28:28 batch_cost: 2.3048 data_cost: 0.0013 ips: 24.2971 images/s [10/14 15:32:19] ppdet.engine INFO: Epoch: [47] [260/523] learning_rate: 0.375766 loss_vfl: 0.895420 loss_bbox: 0.319143 loss_dfl: 0.199611 loss: 1.411083 eta: 3 days, 12:27:39 batch_cost: 2.2727 data_cost: 0.0013 ips: 24.6398 images/s [10/14 15:33:06] ppdet.engine INFO: Epoch: [47] [280/523] learning_rate: 0.375728 loss_vfl: 0.915306 loss_bbox: 0.324876 loss_dfl: 0.200193 loss: 1.429183 eta: 3 days, 12:26:51 batch_cost: 2.2849 data_cost: 0.0013 ips: 24.5092 images/s [10/14 15:33:55] ppdet.engine INFO: Epoch: [47] [300/523] learning_rate: 0.375690 loss_vfl: 0.914016 loss_bbox: 0.318241 loss_dfl: 0.206176 loss: 1.448230 eta: 3 days, 12:26:05 batch_cost: 2.3028 data_cost: 0.0012 ips: 24.3187 images/s [10/14 15:34:42] ppdet.engine INFO: Epoch: [47] [320/523] learning_rate: 0.375652 loss_vfl: 0.909626 loss_bbox: 0.313666 loss_dfl: 0.200873 loss: 1.426980 eta: 3 days, 12:25:14 batch_cost: 2.2557 data_cost: 0.0012 ips: 24.8263 images/s [10/14 15:35:31] ppdet.engine INFO: Epoch: [47] [340/523] learning_rate: 0.375613 loss_vfl: 0.912003 loss_bbox: 0.311662 loss_dfl: 0.199249 loss: 1.422501 eta: 3 days, 12:24:30 batch_cost: 2.3242 data_cost: 0.0012 ips: 24.0944 images/s [10/14 15:36:19] ppdet.engine INFO: Epoch: [47] [360/523] learning_rate: 0.375575 loss_vfl: 0.919955 loss_bbox: 0.300064 loss_dfl: 0.201133 loss: 1.410433 eta: 3 days, 12:23:41 batch_cost: 2.2771 data_cost: 0.0013 ips: 24.5922 images/s [10/14 15:37:07] ppdet.engine INFO: Epoch: [47] [380/523] learning_rate: 0.375536 loss_vfl: 0.886614 loss_bbox: 0.320878 loss_dfl: 0.202328 loss: 1.432525 eta: 3 days, 12:22:51 batch_cost: 2.2577 data_cost: 0.0012 ips: 24.8038 images/s [10/14 15:37:54] ppdet.engine INFO: Epoch: [47] [400/523] learning_rate: 0.375498 loss_vfl: 0.902277 loss_bbox: 0.320113 loss_dfl: 0.198461 loss: 1.442907 eta: 3 days, 12:22:02 batch_cost: 2.2758 data_cost: 0.0012 ips: 24.6063 images/s [10/14 15:38:41] ppdet.engine INFO: Epoch: [47] [420/523] learning_rate: 0.375460 loss_vfl: 0.911185 loss_bbox: 0.312377 loss_dfl: 0.199321 loss: 1.420785 eta: 3 days, 12:21:07 batch_cost: 2.2199 data_cost: 0.0012 ips: 25.2259 images/s [10/14 15:39:29] ppdet.engine INFO: Epoch: [47] [440/523] learning_rate: 0.375421 loss_vfl: 0.900270 loss_bbox: 0.304302 loss_dfl: 0.201066 loss: 1.435341 eta: 3 days, 12:20:21 batch_cost: 2.2979 data_cost: 0.0012 ips: 24.3697 images/s [10/14 15:40:17] ppdet.engine INFO: Epoch: [47] [460/523] learning_rate: 0.375383 loss_vfl: 0.913226 loss_bbox: 0.321418 loss_dfl: 0.203356 loss: 1.448824 eta: 3 days, 12:19:35 batch_cost: 2.3055 data_cost: 0.0012 ips: 24.2896 images/s [10/14 15:41:04] ppdet.engine INFO: Epoch: [47] [480/523] learning_rate: 0.375344 loss_vfl: 0.920947 loss_bbox: 0.324128 loss_dfl: 0.199459 loss: 1.448942 eta: 3 days, 12:18:44 batch_cost: 2.2515 data_cost: 0.0012 ips: 24.8722 images/s [10/14 15:41:52] ppdet.engine INFO: Epoch: [47] [500/523] learning_rate: 0.375306 loss_vfl: 0.926062 loss_bbox: 0.307479 loss_dfl: 0.197562 loss: 1.435790 eta: 3 days, 12:17:54 batch_cost: 2.2647 data_cost: 0.0013 ips: 24.7270 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loss_bbox: 0.341617 loss_dfl: 0.203520 loss: 1.427858 eta: 3 days, 12:13:03 batch_cost: 2.3192 data_cost: 0.0014 ips: 24.1463 images/s [10/14 15:49:34] ppdet.engine INFO: Epoch: [48] [160/523] learning_rate: 0.374952 loss_vfl: 0.916223 loss_bbox: 0.314011 loss_dfl: 0.200828 loss: 1.432515 eta: 3 days, 12:12:16 batch_cost: 2.2936 data_cost: 0.0021 ips: 24.4157 images/s [10/14 15:50:22] ppdet.engine INFO: Epoch: [48] [180/523] learning_rate: 0.374913 loss_vfl: 0.906590 loss_bbox: 0.326662 loss_dfl: 0.201176 loss: 1.431096 eta: 3 days, 12:11:31 batch_cost: 2.3112 data_cost: 0.0021 ips: 24.2294 images/s [10/14 15:51:09] ppdet.engine INFO: Epoch: [48] [200/523] learning_rate: 0.374874 loss_vfl: 0.921918 loss_bbox: 0.303076 loss_dfl: 0.200418 loss: 1.417700 eta: 3 days, 12:10:40 batch_cost: 2.2544 data_cost: 0.0013 ips: 24.8401 images/s [10/14 15:51:57] ppdet.engine INFO: Epoch: [48] [220/523] learning_rate: 0.374835 loss_vfl: 0.894551 loss_bbox: 0.318115 loss_dfl: 0.192343 loss: 1.425597 eta: 3 days, 12:09:54 batch_cost: 2.3012 data_cost: 0.0013 ips: 24.3351 images/s [10/14 15:52:45] ppdet.engine INFO: Epoch: [48] [240/523] learning_rate: 0.374796 loss_vfl: 0.889608 loss_bbox: 0.312457 loss_dfl: 0.197597 loss: 1.418579 eta: 3 days, 12:09:06 batch_cost: 2.2853 data_cost: 0.0026 ips: 24.5045 images/s [10/14 15:53:32] ppdet.engine INFO: Epoch: [48] [260/523] learning_rate: 0.374757 loss_vfl: 0.905688 loss_bbox: 0.325631 loss_dfl: 0.197387 loss: 1.422099 eta: 3 days, 12:08:13 batch_cost: 2.2352 data_cost: 0.0025 ips: 25.0535 images/s [10/14 15:54:19] ppdet.engine INFO: Epoch: [48] [280/523] learning_rate: 0.374718 loss_vfl: 0.905361 loss_bbox: 0.337453 loss_dfl: 0.198093 loss: 1.425381 eta: 3 days, 12:07:19 batch_cost: 2.2254 data_cost: 0.0012 ips: 25.1644 images/s [10/14 15:55:07] ppdet.engine INFO: Epoch: [48] [300/523] learning_rate: 0.374679 loss_vfl: 0.895744 loss_bbox: 0.295873 loss_dfl: 0.203643 loss: 1.394925 eta: 3 days, 12:06:31 batch_cost: 2.2853 data_cost: 0.0019 ips: 24.5047 images/s [10/14 15:55:56] ppdet.engine INFO: Epoch: [48] [320/523] learning_rate: 0.374640 loss_vfl: 0.909586 loss_bbox: 0.326735 loss_dfl: 0.197530 loss: 1.432983 eta: 3 days, 12:05:48 batch_cost: 2.3346 data_cost: 0.0012 ips: 23.9874 images/s [10/14 15:56:44] ppdet.engine INFO: Epoch: [48] [340/523] learning_rate: 0.374601 loss_vfl: 0.895877 loss_bbox: 0.357990 loss_dfl: 0.218711 loss: 1.460619 eta: 3 days, 12:05:04 batch_cost: 2.3211 data_cost: 0.0012 ips: 24.1268 images/s [10/14 15:57:32] ppdet.engine INFO: Epoch: [48] [360/523] learning_rate: 0.374562 loss_vfl: 0.927539 loss_bbox: 0.310199 loss_dfl: 0.205971 loss: 1.434771 eta: 3 days, 12:04:17 batch_cost: 2.2924 data_cost: 0.0012 ips: 24.4286 images/s [10/14 15:58:20] ppdet.engine INFO: Epoch: [48] [380/523] learning_rate: 0.374523 loss_vfl: 0.918425 loss_bbox: 0.288082 loss_dfl: 0.188298 loss: 1.390356 eta: 3 days, 12:03:29 batch_cost: 2.2868 data_cost: 0.0021 ips: 24.4888 images/s [10/14 15:59:06] ppdet.engine INFO: Epoch: [48] [400/523] learning_rate: 0.374484 loss_vfl: 0.917847 loss_bbox: 0.314796 loss_dfl: 0.199967 loss: 1.428208 eta: 3 days, 12:02:32 batch_cost: 2.1982 data_cost: 0.0012 ips: 25.4758 images/s [10/14 15:59:54] ppdet.engine INFO: Epoch: [48] [420/523] learning_rate: 0.374445 loss_vfl: 0.912287 loss_bbox: 0.305725 loss_dfl: 0.195547 loss: 1.403877 eta: 3 days, 12:01:44 batch_cost: 2.2833 data_cost: 0.0013 ips: 24.5256 images/s [10/14 16:00:41] ppdet.engine INFO: Epoch: [48] [440/523] learning_rate: 0.374406 loss_vfl: 0.929884 loss_bbox: 0.329359 loss_dfl: 0.208717 loss: 1.467041 eta: 3 days, 12:00:54 batch_cost: 2.2614 data_cost: 0.0022 ips: 24.7632 images/s [10/14 16:01:30] ppdet.engine INFO: Epoch: [48] [460/523] learning_rate: 0.374366 loss_vfl: 0.922176 loss_bbox: 0.302400 loss_dfl: 0.196207 loss: 1.431061 eta: 3 days, 12:00:09 batch_cost: 2.3098 data_cost: 0.0012 ips: 24.2444 images/s [10/14 16:02:18] ppdet.engine INFO: Epoch: [48] [480/523] learning_rate: 0.374327 loss_vfl: 0.926450 loss_bbox: 0.335167 loss_dfl: 0.197817 loss: 1.458201 eta: 3 days, 11:59:22 batch_cost: 2.2911 data_cost: 0.0019 ips: 24.4420 images/s [10/14 16:03:07] ppdet.engine INFO: Epoch: [48] [500/523] learning_rate: 0.374288 loss_vfl: 0.912065 loss_bbox: 0.330610 loss_dfl: 0.205456 loss: 1.469715 eta: 3 days, 11:58:42 batch_cost: 2.3616 data_cost: 0.0012 ips: 23.7129 images/s [10/14 16:03:50] ppdet.engine INFO: Epoch: [48] [520/523] learning_rate: 0.374249 loss_vfl: 0.936486 loss_bbox: 0.311816 loss_dfl: 0.194255 loss: 1.414646 eta: 3 days, 11:57:29 batch_cost: 2.0397 data_cost: 0.0011 ips: 27.4551 images/s [10/14 16:04:19] ppdet.engine INFO: Epoch: [49] [ 0/523] learning_rate: 0.374243 loss_vfl: 0.927393 loss_bbox: 0.315832 loss_dfl: 0.196808 loss: 1.432050 eta: 3 days, 11:58:59 batch_cost: 2.9957 data_cost: 0.4397 ips: 18.6935 images/s [10/14 16:05:11] ppdet.engine INFO: Epoch: [49] [ 20/523] learning_rate: 0.374203 loss_vfl: 0.896692 loss_bbox: 0.312512 loss_dfl: 0.198582 loss: 1.405771 eta: 3 days, 11:58:23 batch_cost: 2.4012 data_cost: 0.0016 ips: 23.3217 images/s [10/14 16:05:59] ppdet.engine INFO: Epoch: [49] [ 40/523] learning_rate: 0.374164 loss_vfl: 0.900478 loss_bbox: 0.316818 loss_dfl: 0.201305 loss: 1.434168 eta: 3 days, 11:57:36 batch_cost: 2.2908 data_cost: 0.0014 ips: 24.4453 images/s [10/14 16:06:47] ppdet.engine INFO: Epoch: [49] [ 60/523] learning_rate: 0.374125 loss_vfl: 0.918773 loss_bbox: 0.309296 loss_dfl: 0.197131 loss: 1.432380 eta: 3 days, 11:56:50 batch_cost: 2.3008 data_cost: 0.0013 ips: 24.3395 images/s [10/14 16:07:36] ppdet.engine INFO: Epoch: [49] [ 80/523] learning_rate: 0.374085 loss_vfl: 0.917234 loss_bbox: 0.296914 loss_dfl: 0.192389 loss: 1.425337 eta: 3 days, 11:56:07 batch_cost: 2.3421 data_cost: 0.0021 ips: 23.9103 images/s [10/14 16:08:23] ppdet.engine INFO: Epoch: [49] [100/523] learning_rate: 0.374046 loss_vfl: 0.895143 loss_bbox: 0.320775 loss_dfl: 0.194793 loss: 1.414593 eta: 3 days, 11:55:15 batch_cost: 2.2436 data_cost: 0.0019 ips: 24.9597 images/s [10/14 16:09:12] ppdet.engine INFO: Epoch: [49] [120/523] learning_rate: 0.374006 loss_vfl: 0.918088 loss_bbox: 0.311176 loss_dfl: 0.195977 loss: 1.420455 eta: 3 days, 11:54:29 batch_cost: 2.3030 data_cost: 0.0013 ips: 24.3163 images/s [10/14 16:09:59] ppdet.engine INFO: Epoch: [49] [140/523] learning_rate: 0.373967 loss_vfl: 0.897703 loss_bbox: 0.308811 loss_dfl: 0.194002 loss: 1.413244 eta: 3 days, 11:53:38 batch_cost: 2.2474 data_cost: 0.0014 ips: 24.9178 images/s [10/14 16:10:47] ppdet.engine INFO: Epoch: [49] [160/523] learning_rate: 0.373927 loss_vfl: 0.908735 loss_bbox: 0.321653 loss_dfl: 0.190727 loss: 1.436250 eta: 3 days, 11:52:52 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2763 images/s [10/14 16:11:36] ppdet.engine INFO: Epoch: [49] [180/523] learning_rate: 0.373888 loss_vfl: 0.926983 loss_bbox: 0.285897 loss_dfl: 0.194028 loss: 1.416448 eta: 3 days, 11:52:11 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8225 images/s [10/14 16:12:25] ppdet.engine INFO: Epoch: [49] [200/523] learning_rate: 0.373848 loss_vfl: 0.896144 loss_bbox: 0.316243 loss_dfl: 0.198706 loss: 1.408820 eta: 3 days, 11:51:28 batch_cost: 2.3350 data_cost: 0.0012 ips: 23.9833 images/s [10/14 16:13:14] ppdet.engine INFO: Epoch: [49] [220/523] learning_rate: 0.373809 loss_vfl: 0.890561 loss_bbox: 0.323502 loss_dfl: 0.203959 loss: 1.431563 eta: 3 days, 11:50:45 batch_cost: 2.3357 data_cost: 0.0012 ips: 23.9759 images/s [10/14 16:14:04] ppdet.engine INFO: Epoch: [49] [240/523] learning_rate: 0.373769 loss_vfl: 0.913520 loss_bbox: 0.312872 loss_dfl: 0.204483 loss: 1.436676 eta: 3 days, 11:50:05 batch_cost: 2.3679 data_cost: 0.0014 ips: 23.6492 images/s [10/14 16:14:52] ppdet.engine INFO: Epoch: [49] [260/523] learning_rate: 0.373729 loss_vfl: 0.901283 loss_bbox: 0.310004 loss_dfl: 0.197223 loss: 1.411192 eta: 3 days, 11:49:21 batch_cost: 2.3194 data_cost: 0.0013 ips: 24.1444 images/s [10/14 16:15:41] ppdet.engine INFO: Epoch: [49] [280/523] learning_rate: 0.373690 loss_vfl: 0.922397 loss_bbox: 0.303174 loss_dfl: 0.189683 loss: 1.426181 eta: 3 days, 11:48:39 batch_cost: 2.3424 data_cost: 0.0013 ips: 23.9072 images/s [10/14 16:16:29] ppdet.engine INFO: Epoch: [49] [300/523] learning_rate: 0.373650 loss_vfl: 0.887792 loss_bbox: 0.324870 loss_dfl: 0.196831 loss: 1.430163 eta: 3 days, 11:47:46 batch_cost: 2.2387 data_cost: 0.0013 ips: 25.0144 images/s [10/14 16:17:17] ppdet.engine INFO: Epoch: [49] [320/523] learning_rate: 0.373610 loss_vfl: 0.914026 loss_bbox: 0.308983 loss_dfl: 0.192430 loss: 1.426756 eta: 3 days, 11:46:58 batch_cost: 2.2808 data_cost: 0.0013 ips: 24.5528 images/s [10/14 16:18:06] ppdet.engine INFO: Epoch: [49] [340/523] learning_rate: 0.373570 loss_vfl: 0.919513 loss_bbox: 0.318525 loss_dfl: 0.200929 loss: 1.432538 eta: 3 days, 11:46:18 batch_cost: 2.3621 data_cost: 0.0012 ips: 23.7076 images/s [10/14 16:18:55] ppdet.engine INFO: Epoch: [49] [360/523] learning_rate: 0.373531 loss_vfl: 0.911381 loss_bbox: 0.316105 loss_dfl: 0.207581 loss: 1.422634 eta: 3 days, 11:45:35 batch_cost: 2.3389 data_cost: 0.0014 ips: 23.9433 images/s [10/14 16:19:43] ppdet.engine INFO: Epoch: [49] [380/523] learning_rate: 0.373491 loss_vfl: 0.929387 loss_bbox: 0.319966 loss_dfl: 0.199065 loss: 1.453984 eta: 3 days, 11:44:50 batch_cost: 2.3122 data_cost: 0.0016 ips: 24.2191 images/s [10/14 16:20:31] ppdet.engine INFO: Epoch: [49] [400/523] learning_rate: 0.373451 loss_vfl: 0.908006 loss_bbox: 0.322687 loss_dfl: 0.209543 loss: 1.440648 eta: 3 days, 11:43:59 batch_cost: 2.2491 data_cost: 0.0024 ips: 24.8988 images/s [10/14 16:21:19] ppdet.engine INFO: Epoch: [49] [420/523] learning_rate: 0.373411 loss_vfl: 0.903422 loss_bbox: 0.325462 loss_dfl: 0.202315 loss: 1.431901 eta: 3 days, 11:43:16 batch_cost: 2.3407 data_cost: 0.0013 ips: 23.9245 images/s [10/14 16:22:08] ppdet.engine INFO: Epoch: [49] [440/523] learning_rate: 0.373371 loss_vfl: 0.917012 loss_bbox: 0.325097 loss_dfl: 0.193933 loss: 1.409781 eta: 3 days, 11:42:31 batch_cost: 2.3148 data_cost: 0.0013 ips: 24.1927 images/s [10/14 16:22:57] ppdet.engine INFO: Epoch: [49] [460/523] learning_rate: 0.373331 loss_vfl: 0.908497 loss_bbox: 0.315679 loss_dfl: 0.202532 loss: 1.444607 eta: 3 days, 11:41:49 batch_cost: 2.3363 data_cost: 0.0016 ips: 23.9699 images/s [10/14 16:23:48] ppdet.engine INFO: Epoch: [49] [480/523] learning_rate: 0.373291 loss_vfl: 0.924951 loss_bbox: 0.297348 loss_dfl: 0.191828 loss: 1.409412 eta: 3 days, 11:41:15 batch_cost: 2.4282 data_cost: 0.0013 ips: 23.0623 images/s [10/14 16:24:37] ppdet.engine INFO: Epoch: [49] [500/523] learning_rate: 0.373251 loss_vfl: 0.898970 loss_bbox: 0.301733 loss_dfl: 0.189870 loss: 1.381351 eta: 3 days, 11:40:32 batch_cost: 2.3313 data_cost: 0.0013 ips: 24.0209 images/s [10/14 16:25:19] ppdet.engine INFO: Epoch: [49] [520/523] learning_rate: 0.373211 loss_vfl: 0.905165 loss_bbox: 0.325324 loss_dfl: 0.198494 loss: 1.415491 eta: 3 days, 11:39:16 batch_cost: 2.0080 data_cost: 0.0024 ips: 27.8879 images/s [10/14 16:25:26] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 16:25:27] ppdet.engine INFO: Eval iter: 0 [10/14 16:26:05] ppdet.engine INFO: Eval iter: 100 [10/14 16:26:26] ppdet.engine INFO: Eval iter: 200 [10/14 16:26:47] ppdet.engine INFO: Eval iter: 300 [10/14 16:27:08] ppdet.engine INFO: Eval iter: 400 [10/14 16:27:29] ppdet.engine INFO: Eval iter: 500 [10/14 16:27:51] ppdet.engine INFO: Eval iter: 600 [10/14 16:28:11] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.67s) creating index... index created! [10/14 16:28:12] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.03s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.55s). Accumulating evaluation results... DONE (t=18.22s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.319 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.467 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.336 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.117 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.337 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 ] = 0.285 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.452 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.481 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.200 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.540 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.720 [10/14 16:30:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.249632459644204 [10/14 16:30:19] ppdet.engine INFO: Best test bbox ap is 0.319. [10/14 16:30:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 16:30:21] ppdet.engine INFO: Epoch: [50] [ 0/523] learning_rate: 0.373205 loss_vfl: 0.907702 loss_bbox: 0.333610 loss_dfl: 0.202178 loss: 1.427892 eta: 3 days, 11:38:59 batch_cost: 1.9442 data_cost: 0.0025 ips: 28.8042 images/s [10/14 16:31:10] ppdet.engine INFO: Epoch: [50] [ 20/523] learning_rate: 0.373165 loss_vfl: 0.909946 loss_bbox: 0.298014 loss_dfl: 0.191962 loss: 1.417359 eta: 3 days, 11:38:21 batch_cost: 2.3775 data_cost: 0.0014 ips: 23.5545 images/s [10/14 16:31:59] ppdet.engine INFO: Epoch: [50] [ 40/523] learning_rate: 0.373125 loss_vfl: 0.904231 loss_bbox: 0.303275 loss_dfl: 0.193642 loss: 1.395119 eta: 3 days, 11:37:35 batch_cost: 2.3033 data_cost: 0.0013 ips: 24.3130 images/s [10/14 16:32:48] ppdet.engine INFO: Epoch: [50] [ 60/523] learning_rate: 0.373085 loss_vfl: 0.920032 loss_bbox: 0.302653 loss_dfl: 0.198863 loss: 1.429494 eta: 3 days, 11:36:53 batch_cost: 2.3463 data_cost: 0.0013 ips: 23.8677 images/s [10/14 16:33:37] ppdet.engine INFO: Epoch: [50] [ 80/523] learning_rate: 0.373045 loss_vfl: 0.906775 loss_bbox: 0.289292 loss_dfl: 0.186727 loss: 1.414740 eta: 3 days, 11:36:13 batch_cost: 2.3618 data_cost: 0.0069 ips: 23.7102 images/s [10/14 16:34:25] ppdet.engine INFO: Epoch: [50] [100/523] learning_rate: 0.373005 loss_vfl: 0.895574 loss_bbox: 0.318462 loss_dfl: 0.197794 loss: 1.427552 eta: 3 days, 11:35:22 batch_cost: 2.2546 data_cost: 0.0015 ips: 24.8382 images/s [10/14 16:35:13] ppdet.engine INFO: Epoch: [50] [120/523] learning_rate: 0.372964 loss_vfl: 0.894128 loss_bbox: 0.323062 loss_dfl: 0.196070 loss: 1.415874 eta: 3 days, 11:34:36 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2756 images/s [10/14 16:36:02] ppdet.engine INFO: Epoch: [50] [140/523] learning_rate: 0.372924 loss_vfl: 0.910626 loss_bbox: 0.320840 loss_dfl: 0.200525 loss: 1.420182 eta: 3 days, 11:33:52 batch_cost: 2.3272 data_cost: 0.0012 ips: 24.0636 images/s [10/14 16:36:48] ppdet.engine INFO: Epoch: [50] [160/523] learning_rate: 0.372884 loss_vfl: 0.892688 loss_bbox: 0.301034 loss_dfl: 0.196366 loss: 1.406349 eta: 3 days, 11:32:59 batch_cost: 2.2293 data_cost: 0.0012 ips: 25.1204 images/s [10/14 16:37:36] ppdet.engine INFO: Epoch: [50] [180/523] learning_rate: 0.372844 loss_vfl: 0.910197 loss_bbox: 0.313782 loss_dfl: 0.197693 loss: 1.433072 eta: 3 days, 11:32:09 batch_cost: 2.2609 data_cost: 0.0013 ips: 24.7684 images/s [10/14 16:38:23] ppdet.engine INFO: Epoch: [50] [200/523] learning_rate: 0.372803 loss_vfl: 0.917592 loss_bbox: 0.330690 loss_dfl: 0.201973 loss: 1.427677 eta: 3 days, 11:31:15 batch_cost: 2.2291 data_cost: 0.0013 ips: 25.1221 images/s [10/14 16:39:10] ppdet.engine INFO: Epoch: [50] [220/523] learning_rate: 0.372763 loss_vfl: 0.920772 loss_bbox: 0.308976 loss_dfl: 0.196995 loss: 1.427917 eta: 3 days, 11:30:22 batch_cost: 2.2310 data_cost: 0.0012 ips: 25.1013 images/s [10/14 16:39:58] ppdet.engine INFO: Epoch: [50] [240/523] learning_rate: 0.372723 loss_vfl: 0.901862 loss_bbox: 0.317732 loss_dfl: 0.197197 loss: 1.431903 eta: 3 days, 11:29:34 batch_cost: 2.2800 data_cost: 0.0012 ips: 24.5612 images/s [10/14 16:40:46] ppdet.engine INFO: Epoch: [50] [260/523] learning_rate: 0.372682 loss_vfl: 0.900489 loss_bbox: 0.319861 loss_dfl: 0.200136 loss: 1.406082 eta: 3 days, 11:28:49 batch_cost: 2.3206 data_cost: 0.0012 ips: 24.1315 images/s [10/14 16:41:34] ppdet.engine INFO: Epoch: [50] [280/523] learning_rate: 0.372642 loss_vfl: 0.921322 loss_bbox: 0.331652 loss_dfl: 0.204400 loss: 1.458112 eta: 3 days, 11:28:02 batch_cost: 2.2897 data_cost: 0.0013 ips: 24.4574 images/s [10/14 16:42:23] ppdet.engine INFO: Epoch: [50] [300/523] learning_rate: 0.372601 loss_vfl: 0.907200 loss_bbox: 0.312909 loss_dfl: 0.201278 loss: 1.458397 eta: 3 days, 11:27:17 batch_cost: 2.3144 data_cost: 0.0013 ips: 24.1968 images/s [10/14 16:43:10] ppdet.engine INFO: Epoch: [50] [320/523] learning_rate: 0.372561 loss_vfl: 0.910023 loss_bbox: 0.292230 loss_dfl: 0.194417 loss: 1.410986 eta: 3 days, 11:26:26 batch_cost: 2.2544 data_cost: 0.0013 ips: 24.8402 images/s [10/14 16:43:58] ppdet.engine INFO: Epoch: [50] [340/523] learning_rate: 0.372520 loss_vfl: 0.907660 loss_bbox: 0.319364 loss_dfl: 0.199165 loss: 1.429339 eta: 3 days, 11:25:35 batch_cost: 2.2530 data_cost: 0.0012 ips: 24.8557 images/s [10/14 16:44:45] ppdet.engine INFO: Epoch: [50] [360/523] learning_rate: 0.372480 loss_vfl: 0.902498 loss_bbox: 0.308666 loss_dfl: 0.193898 loss: 1.413782 eta: 3 days, 11:24:42 batch_cost: 2.2260 data_cost: 0.0013 ips: 25.1570 images/s [10/14 16:45:32] ppdet.engine INFO: Epoch: [50] [380/523] learning_rate: 0.372439 loss_vfl: 0.927723 loss_bbox: 0.313415 loss_dfl: 0.197106 loss: 1.441543 eta: 3 days, 11:23:54 batch_cost: 2.2829 data_cost: 0.0012 ips: 24.5303 images/s [10/14 16:46:21] ppdet.engine INFO: Epoch: [50] [400/523] learning_rate: 0.372399 loss_vfl: 0.905034 loss_bbox: 0.333811 loss_dfl: 0.209565 loss: 1.447352 eta: 3 days, 11:23:07 batch_cost: 2.3017 data_cost: 0.0012 ips: 24.3299 images/s [10/14 16:47:09] ppdet.engine INFO: Epoch: [50] [420/523] learning_rate: 0.372358 loss_vfl: 0.906669 loss_bbox: 0.311725 loss_dfl: 0.200429 loss: 1.423952 eta: 3 days, 11:22:19 batch_cost: 2.2790 data_cost: 0.0013 ips: 24.5724 images/s [10/14 16:47:57] ppdet.engine INFO: Epoch: [50] [440/523] learning_rate: 0.372317 loss_vfl: 0.920491 loss_bbox: 0.303579 loss_dfl: 0.193761 loss: 1.437198 eta: 3 days, 11:21:34 batch_cost: 2.3102 data_cost: 0.0013 ips: 24.2408 images/s [10/14 16:48:45] ppdet.engine INFO: Epoch: [50] [460/523] learning_rate: 0.372277 loss_vfl: 0.912075 loss_bbox: 0.313134 loss_dfl: 0.203534 loss: 1.436864 eta: 3 days, 11:20:43 batch_cost: 2.2553 data_cost: 0.0013 ips: 24.8305 images/s [10/14 16:49:33] ppdet.engine INFO: Epoch: [50] [480/523] learning_rate: 0.372236 loss_vfl: 0.923731 loss_bbox: 0.298782 loss_dfl: 0.188929 loss: 1.431468 eta: 3 days, 11:19:56 batch_cost: 2.2989 data_cost: 0.0018 ips: 24.3590 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loss_bbox: 0.303793 loss_dfl: 0.192994 loss: 1.401705 eta: 3 days, 11:14:53 batch_cost: 2.3220 data_cost: 0.0013 ips: 24.1173 images/s [10/14 16:57:12] ppdet.engine INFO: Epoch: [51] [140/523] learning_rate: 0.371862 loss_vfl: 0.899213 loss_bbox: 0.289645 loss_dfl: 0.187524 loss: 1.379252 eta: 3 days, 11:14:05 batch_cost: 2.2825 data_cost: 0.0014 ips: 24.5344 images/s [10/14 16:58:01] ppdet.engine INFO: Epoch: [51] [160/523] learning_rate: 0.371821 loss_vfl: 0.906192 loss_bbox: 0.311321 loss_dfl: 0.192218 loss: 1.420842 eta: 3 days, 11:13:22 batch_cost: 2.3279 data_cost: 0.0022 ips: 24.0559 images/s [10/14 16:58:50] ppdet.engine INFO: Epoch: [51] [180/523] learning_rate: 0.371780 loss_vfl: 0.892597 loss_bbox: 0.307276 loss_dfl: 0.195954 loss: 1.425063 eta: 3 days, 11:12:37 batch_cost: 2.3172 data_cost: 0.0013 ips: 24.1669 images/s [10/14 16:59:38] ppdet.engine INFO: Epoch: [51] [200/523] learning_rate: 0.371739 loss_vfl: 0.906640 loss_bbox: 0.310415 loss_dfl: 0.191369 loss: 1.427734 eta: 3 days, 11:11:51 batch_cost: 2.3061 data_cost: 0.0013 ips: 24.2834 images/s [10/14 17:00:26] ppdet.engine INFO: Epoch: [51] [220/523] learning_rate: 0.371698 loss_vfl: 0.904357 loss_bbox: 0.321649 loss_dfl: 0.201278 loss: 1.419099 eta: 3 days, 11:11:01 batch_cost: 2.2587 data_cost: 0.0013 ips: 24.7931 images/s [10/14 17:01:14] ppdet.engine INFO: Epoch: [51] [240/523] learning_rate: 0.371657 loss_vfl: 0.928834 loss_bbox: 0.304854 loss_dfl: 0.198074 loss: 1.416591 eta: 3 days, 11:10:16 batch_cost: 2.3194 data_cost: 0.0014 ips: 24.1443 images/s [10/14 17:02:02] ppdet.engine INFO: Epoch: [51] [260/523] learning_rate: 0.371616 loss_vfl: 0.922159 loss_bbox: 0.300508 loss_dfl: 0.189324 loss: 1.400513 eta: 3 days, 11:09:27 batch_cost: 2.2660 data_cost: 0.0012 ips: 24.7127 images/s [10/14 17:02:50] ppdet.engine INFO: Epoch: [51] [280/523] learning_rate: 0.371575 loss_vfl: 0.907415 loss_bbox: 0.307999 loss_dfl: 0.197795 loss: 1.426499 eta: 3 days, 11:08:38 batch_cost: 2.2746 data_cost: 0.0013 ips: 24.6201 images/s [10/14 17:03:37] ppdet.engine INFO: Epoch: [51] [300/523] learning_rate: 0.371534 loss_vfl: 0.911620 loss_bbox: 0.330773 loss_dfl: 0.206879 loss: 1.467697 eta: 3 days, 11:07:49 batch_cost: 2.2759 data_cost: 0.0012 ips: 24.6054 images/s [10/14 17:04:26] ppdet.engine INFO: Epoch: [51] [320/523] learning_rate: 0.371493 loss_vfl: 0.906987 loss_bbox: 0.317957 loss_dfl: 0.198960 loss: 1.416085 eta: 3 days, 11:07:03 batch_cost: 2.3067 data_cost: 0.0013 ips: 24.2772 images/s [10/14 17:05:14] ppdet.engine INFO: Epoch: [51] [340/523] learning_rate: 0.371451 loss_vfl: 0.920518 loss_bbox: 0.315996 loss_dfl: 0.199086 loss: 1.436326 eta: 3 days, 11:06:16 batch_cost: 2.2916 data_cost: 0.0012 ips: 24.4371 images/s [10/14 17:06:01] ppdet.engine INFO: Epoch: [51] [360/523] learning_rate: 0.371410 loss_vfl: 0.895420 loss_bbox: 0.316672 loss_dfl: 0.196826 loss: 1.410179 eta: 3 days, 11:05:27 batch_cost: 2.2754 data_cost: 0.0013 ips: 24.6106 images/s [10/14 17:06:50] ppdet.engine INFO: Epoch: [51] [380/523] learning_rate: 0.371369 loss_vfl: 0.909053 loss_bbox: 0.292370 loss_dfl: 0.191235 loss: 1.419959 eta: 3 days, 11:04:46 batch_cost: 2.3499 data_cost: 0.0012 ips: 23.8310 images/s [10/14 17:07:39] ppdet.engine INFO: Epoch: [51] [400/523] learning_rate: 0.371327 loss_vfl: 0.906062 loss_bbox: 0.309622 loss_dfl: 0.191902 loss: 1.404004 eta: 3 days, 11:03:59 batch_cost: 2.2969 data_cost: 0.0014 ips: 24.3804 images/s [10/14 17:08:28] ppdet.engine INFO: Epoch: [51] [420/523] learning_rate: 0.371286 loss_vfl: 0.909609 loss_bbox: 0.328126 loss_dfl: 0.205809 loss: 1.448382 eta: 3 days, 11:03:15 batch_cost: 2.3285 data_cost: 0.0014 ips: 24.0493 images/s [10/14 17:09:14] ppdet.engine INFO: Epoch: [51] [440/523] learning_rate: 0.371245 loss_vfl: 0.919566 loss_bbox: 0.303763 loss_dfl: 0.200350 loss: 1.409525 eta: 3 days, 11:02:20 batch_cost: 2.2021 data_cost: 0.0012 ips: 25.4305 images/s [10/14 17:10:02] ppdet.engine INFO: Epoch: [51] [460/523] learning_rate: 0.371203 loss_vfl: 0.913980 loss_bbox: 0.312066 loss_dfl: 0.191021 loss: 1.414652 eta: 3 days, 11:01:28 batch_cost: 2.2472 data_cost: 0.0012 ips: 24.9194 images/s [10/14 17:10:50] ppdet.engine INFO: Epoch: [51] [480/523] learning_rate: 0.371162 loss_vfl: 0.917627 loss_bbox: 0.309182 loss_dfl: 0.200623 loss: 1.419962 eta: 3 days, 11:00:44 batch_cost: 2.3249 data_cost: 0.0013 ips: 24.0870 images/s [10/14 17:11:38] ppdet.engine INFO: Epoch: [51] [500/523] learning_rate: 0.371121 loss_vfl: 0.919330 loss_bbox: 0.312125 loss_dfl: 0.200283 loss: 1.442982 eta: 3 days, 10:59:56 batch_cost: 2.2856 data_cost: 0.0013 ips: 24.5008 images/s [10/14 17:12:21] ppdet.engine INFO: Epoch: [51] [520/523] learning_rate: 0.371079 loss_vfl: 0.912908 loss_bbox: 0.308988 loss_dfl: 0.191515 loss: 1.416699 eta: 3 days, 10:58:46 batch_cost: 2.0462 data_cost: 0.0013 ips: 27.3676 images/s [10/14 17:12:49] ppdet.engine INFO: Epoch: [52] [ 0/523] learning_rate: 0.371073 loss_vfl: 0.916187 loss_bbox: 0.307183 loss_dfl: 0.190659 loss: 1.419868 eta: 3 days, 11:00:03 batch_cost: 2.9511 data_cost: 0.6617 ips: 18.9761 images/s [10/14 17:13:41] ppdet.engine INFO: Epoch: [52] [ 20/523] learning_rate: 0.371031 loss_vfl: 0.891130 loss_bbox: 0.325526 loss_dfl: 0.203557 loss: 1.419754 eta: 3 days, 10:59:33 batch_cost: 2.4764 data_cost: 0.0013 ips: 22.6132 images/s [10/14 17:14:30] ppdet.engine INFO: Epoch: [52] [ 40/523] learning_rate: 0.370990 loss_vfl: 0.888163 loss_bbox: 0.330514 loss_dfl: 0.204850 loss: 1.428004 eta: 3 days, 10:58:49 batch_cost: 2.3289 data_cost: 0.0012 ips: 24.0460 images/s [10/14 17:15:18] ppdet.engine INFO: Epoch: [52] [ 60/523] learning_rate: 0.370948 loss_vfl: 0.900216 loss_bbox: 0.318430 loss_dfl: 0.199633 loss: 1.419306 eta: 3 days, 10:57:57 batch_cost: 2.2429 data_cost: 0.0012 ips: 24.9680 images/s [10/14 17:16:05] ppdet.engine INFO: Epoch: [52] [ 80/523] learning_rate: 0.370907 loss_vfl: 0.893243 loss_bbox: 0.323180 loss_dfl: 0.203231 loss: 1.435319 eta: 3 days, 10:57:05 batch_cost: 2.2359 data_cost: 0.0013 ips: 25.0457 images/s [10/14 17:16:55] ppdet.engine INFO: Epoch: [52] [100/523] learning_rate: 0.370865 loss_vfl: 0.909001 loss_bbox: 0.318257 loss_dfl: 0.199262 loss: 1.413253 eta: 3 days, 10:56:26 batch_cost: 2.3778 data_cost: 0.0013 ips: 23.5509 images/s [10/14 17:17:42] ppdet.engine INFO: Epoch: [52] [120/523] learning_rate: 0.370823 loss_vfl: 0.908416 loss_bbox: 0.285621 loss_dfl: 0.187617 loss: 1.403337 eta: 3 days, 10:55:36 batch_cost: 2.2625 data_cost: 0.0013 ips: 24.7511 images/s [10/14 17:18:29] ppdet.engine INFO: Epoch: [52] [140/523] learning_rate: 0.370782 loss_vfl: 0.892750 loss_bbox: 0.295049 loss_dfl: 0.189627 loss: 1.385343 eta: 3 days, 10:54:43 batch_cost: 2.2274 data_cost: 0.0019 ips: 25.1416 images/s [10/14 17:19:17] ppdet.engine INFO: Epoch: [52] [160/523] learning_rate: 0.370740 loss_vfl: 0.887365 loss_bbox: 0.336328 loss_dfl: 0.205952 loss: 1.448748 eta: 3 days, 10:53:57 batch_cost: 2.3115 data_cost: 0.0012 ips: 24.2272 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loss_bbox: 0.315400 loss_dfl: 0.199015 loss: 1.448871 eta: 3 days, 10:46:36 batch_cost: 2.3327 data_cost: 0.0013 ips: 24.0069 images/s [10/14 17:27:14] ppdet.engine INFO: Epoch: [52] [360/523] learning_rate: 0.370322 loss_vfl: 0.904349 loss_bbox: 0.318635 loss_dfl: 0.200160 loss: 1.415481 eta: 3 days, 10:45:52 batch_cost: 2.3225 data_cost: 0.0013 ips: 24.1117 images/s [10/14 17:28:02] ppdet.engine INFO: Epoch: [52] [380/523] learning_rate: 0.370280 loss_vfl: 0.895883 loss_bbox: 0.330793 loss_dfl: 0.197196 loss: 1.428321 eta: 3 days, 10:45:04 batch_cost: 2.2885 data_cost: 0.0012 ips: 24.4699 images/s [10/14 17:28:49] ppdet.engine INFO: Epoch: [52] [400/523] learning_rate: 0.370238 loss_vfl: 0.919607 loss_bbox: 0.310368 loss_dfl: 0.198664 loss: 1.436776 eta: 3 days, 10:44:14 batch_cost: 2.2536 data_cost: 0.0012 ips: 24.8492 images/s [10/14 17:29:37] ppdet.engine INFO: Epoch: [52] [420/523] learning_rate: 0.370196 loss_vfl: 0.897301 loss_bbox: 0.325536 loss_dfl: 0.206080 loss: 1.413416 eta: 3 days, 10:43:26 batch_cost: 2.2809 data_cost: 0.0019 ips: 24.5516 images/s [10/14 17:30:26] ppdet.engine INFO: Epoch: [52] [440/523] learning_rate: 0.370153 loss_vfl: 0.907548 loss_bbox: 0.315415 loss_dfl: 0.203377 loss: 1.434025 eta: 3 days, 10:42:39 batch_cost: 2.2962 data_cost: 0.0012 ips: 24.3886 images/s [10/14 17:31:15] ppdet.engine INFO: Epoch: [52] [460/523] learning_rate: 0.370111 loss_vfl: 0.916130 loss_bbox: 0.321023 loss_dfl: 0.202421 loss: 1.435208 eta: 3 days, 10:41:55 batch_cost: 2.3307 data_cost: 0.0014 ips: 24.0270 images/s [10/14 17:32:04] ppdet.engine INFO: Epoch: [52] [480/523] learning_rate: 0.370069 loss_vfl: 0.910257 loss_bbox: 0.325591 loss_dfl: 0.201699 loss: 1.443877 eta: 3 days, 10:41:15 batch_cost: 2.3666 data_cost: 0.0013 ips: 23.6623 images/s [10/14 17:32:55] ppdet.engine INFO: Epoch: [52] [500/523] learning_rate: 0.370027 loss_vfl: 0.920686 loss_bbox: 0.294355 loss_dfl: 0.191412 loss: 1.401205 eta: 3 days, 10:40:39 batch_cost: 2.4141 data_cost: 0.0024 ips: 23.1974 images/s [10/14 17:33:38] ppdet.engine INFO: Epoch: [52] [520/523] learning_rate: 0.369985 loss_vfl: 0.896649 loss_bbox: 0.288043 loss_dfl: 0.189986 loss: 1.400813 eta: 3 days, 10:39:31 batch_cost: 2.0650 data_cost: 0.0012 ips: 27.1184 images/s [10/14 17:34:09] ppdet.engine INFO: Epoch: [53] [ 0/523] learning_rate: 0.369979 loss_vfl: 0.909409 loss_bbox: 0.288041 loss_dfl: 0.187912 loss: 1.402152 eta: 3 days, 10:41:00 batch_cost: 3.0809 data_cost: 0.3362 ips: 18.1763 images/s [10/14 17:34:58] ppdet.engine INFO: Epoch: [53] [ 20/523] learning_rate: 0.369936 loss_vfl: 0.905367 loss_bbox: 0.308237 loss_dfl: 0.196980 loss: 1.408240 eta: 3 days, 10:40:21 batch_cost: 2.3740 data_cost: 0.0014 ips: 23.5887 images/s [10/14 17:35:46] ppdet.engine INFO: Epoch: [53] [ 40/523] learning_rate: 0.369894 loss_vfl: 0.893691 loss_bbox: 0.320503 loss_dfl: 0.202336 loss: 1.447453 eta: 3 days, 10:39:33 batch_cost: 2.2922 data_cost: 0.0013 ips: 24.4311 images/s [10/14 17:36:36] ppdet.engine INFO: Epoch: [53] [ 60/523] learning_rate: 0.369852 loss_vfl: 0.921205 loss_bbox: 0.297455 loss_dfl: 0.193952 loss: 1.420287 eta: 3 days, 10:38:54 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6278 images/s [10/14 17:37:23] ppdet.engine INFO: Epoch: [53] [ 80/523] learning_rate: 0.369810 loss_vfl: 0.898760 loss_bbox: 0.296589 loss_dfl: 0.194629 loss: 1.400665 eta: 3 days, 10:38:04 batch_cost: 2.2640 data_cost: 0.0012 ips: 24.7355 images/s [10/14 17:38:12] ppdet.engine INFO: Epoch: [53] [100/523] learning_rate: 0.369767 loss_vfl: 0.891768 loss_bbox: 0.312356 loss_dfl: 0.198025 loss: 1.425384 eta: 3 days, 10:37:19 batch_cost: 2.3200 data_cost: 0.0012 ips: 24.1377 images/s [10/14 17:39:01] ppdet.engine INFO: Epoch: [53] [120/523] learning_rate: 0.369725 loss_vfl: 0.905519 loss_bbox: 0.303342 loss_dfl: 0.189135 loss: 1.414727 eta: 3 days, 10:36:36 batch_cost: 2.3353 data_cost: 0.0013 ips: 23.9799 images/s [10/14 17:39:49] ppdet.engine INFO: Epoch: [53] [140/523] learning_rate: 0.369682 loss_vfl: 0.895426 loss_bbox: 0.322234 loss_dfl: 0.199642 loss: 1.436489 eta: 3 days, 10:35:51 batch_cost: 2.3179 data_cost: 0.0013 ips: 24.1593 images/s [10/14 17:40:36] ppdet.engine INFO: Epoch: [53] [160/523] learning_rate: 0.369640 loss_vfl: 0.918135 loss_bbox: 0.329369 loss_dfl: 0.203980 loss: 1.430553 eta: 3 days, 10:35:00 batch_cost: 2.2474 data_cost: 0.0013 ips: 24.9172 images/s [10/14 17:41:25] ppdet.engine INFO: Epoch: [53] [180/523] learning_rate: 0.369598 loss_vfl: 0.913464 loss_bbox: 0.326035 loss_dfl: 0.209686 loss: 1.456737 eta: 3 days, 10:34:16 batch_cost: 2.3284 data_cost: 0.0013 ips: 24.0506 images/s [10/14 17:42:13] ppdet.engine INFO: Epoch: [53] [200/523] learning_rate: 0.369555 loss_vfl: 0.899336 loss_bbox: 0.311871 loss_dfl: 0.194732 loss: 1.404173 eta: 3 days, 10:33:28 batch_cost: 2.2897 data_cost: 0.0013 ips: 24.4578 images/s [10/14 17:43:01] ppdet.engine INFO: Epoch: [53] [220/523] learning_rate: 0.369513 loss_vfl: 0.909928 loss_bbox: 0.300082 loss_dfl: 0.191550 loss: 1.388195 eta: 3 days, 10:32:41 batch_cost: 2.2941 data_cost: 0.0013 ips: 24.4100 images/s [10/14 17:43:50] ppdet.engine INFO: Epoch: [53] [240/523] learning_rate: 0.369470 loss_vfl: 0.915257 loss_bbox: 0.312387 loss_dfl: 0.196227 loss: 1.417077 eta: 3 days, 10:31:57 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1154 images/s [10/14 17:44:38] ppdet.engine INFO: Epoch: [53] [260/523] learning_rate: 0.369428 loss_vfl: 0.898919 loss_bbox: 0.317817 loss_dfl: 0.199587 loss: 1.419738 eta: 3 days, 10:31:06 batch_cost: 2.2552 data_cost: 0.0013 ips: 24.8320 images/s [10/14 17:45:26] ppdet.engine INFO: Epoch: [53] [280/523] learning_rate: 0.369385 loss_vfl: 0.912349 loss_bbox: 0.309287 loss_dfl: 0.194263 loss: 1.417394 eta: 3 days, 10:30:20 batch_cost: 2.3023 data_cost: 0.0013 ips: 24.3237 images/s [10/14 17:46:14] ppdet.engine INFO: Epoch: [53] [300/523] learning_rate: 0.369342 loss_vfl: 0.903707 loss_bbox: 0.312377 loss_dfl: 0.199977 loss: 1.435490 eta: 3 days, 10:29:31 batch_cost: 2.2743 data_cost: 0.0012 ips: 24.6234 images/s [10/14 17:47:01] ppdet.engine INFO: Epoch: [53] [320/523] learning_rate: 0.369300 loss_vfl: 0.919870 loss_bbox: 0.303636 loss_dfl: 0.190881 loss: 1.419067 eta: 3 days, 10:28:39 batch_cost: 2.2367 data_cost: 0.0012 ips: 25.0369 images/s [10/14 17:47:49] ppdet.engine INFO: Epoch: [53] [340/523] learning_rate: 0.369257 loss_vfl: 0.920578 loss_bbox: 0.327516 loss_dfl: 0.205639 loss: 1.460354 eta: 3 days, 10:27:55 batch_cost: 2.3280 data_cost: 0.0013 ips: 24.0554 images/s [10/14 17:48:37] ppdet.engine INFO: Epoch: [53] [360/523] learning_rate: 0.369214 loss_vfl: 0.896950 loss_bbox: 0.324814 loss_dfl: 0.199487 loss: 1.417981 eta: 3 days, 10:27:06 batch_cost: 2.2757 data_cost: 0.0012 ips: 24.6075 images/s [10/14 17:49:25] ppdet.engine INFO: Epoch: [53] [380/523] learning_rate: 0.369172 loss_vfl: 0.915530 loss_bbox: 0.316043 loss_dfl: 0.200261 loss: 1.441952 eta: 3 days, 10:26:20 batch_cost: 2.2994 data_cost: 0.0013 ips: 24.3537 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[480/523] learning_rate: 0.368958 loss_vfl: 0.923606 loss_bbox: 0.317570 loss_dfl: 0.195876 loss: 1.426531 eta: 3 days, 10:22:54 batch_cost: 2.3494 data_cost: 0.0013 ips: 23.8354 images/s [10/14 17:54:19] ppdet.engine INFO: Epoch: [53] [500/523] learning_rate: 0.368915 loss_vfl: 0.918619 loss_bbox: 0.317849 loss_dfl: 0.202288 loss: 1.432608 eta: 3 days, 10:22:05 batch_cost: 2.2687 data_cost: 0.0013 ips: 24.6840 images/s [10/14 17:55:01] ppdet.engine INFO: Epoch: [53] [520/523] learning_rate: 0.368872 loss_vfl: 0.909874 loss_bbox: 0.305484 loss_dfl: 0.193639 loss: 1.405180 eta: 3 days, 10:20:51 batch_cost: 2.0035 data_cost: 0.0012 ips: 27.9512 images/s [10/14 17:55:31] ppdet.engine INFO: Epoch: [54] [ 0/523] learning_rate: 0.368866 loss_vfl: 0.916003 loss_bbox: 0.304113 loss_dfl: 0.194309 loss: 1.417580 eta: 3 days, 10:22:11 batch_cost: 2.9396 data_cost: 0.6897 ips: 19.0504 images/s [10/14 17:56:20] ppdet.engine INFO: Epoch: [54] [ 20/523] learning_rate: 0.368823 loss_vfl: 0.905817 loss_bbox: 0.313354 loss_dfl: 0.197162 loss: 1.427248 eta: 3 days, 10:21:30 batch_cost: 2.3554 data_cost: 0.0015 ips: 23.7748 images/s [10/14 17:57:07] ppdet.engine INFO: Epoch: [54] [ 40/523] learning_rate: 0.368780 loss_vfl: 0.892094 loss_bbox: 0.303011 loss_dfl: 0.191348 loss: 1.401381 eta: 3 days, 10:20:37 batch_cost: 2.2342 data_cost: 0.0013 ips: 25.0652 images/s [10/14 17:57:54] ppdet.engine INFO: Epoch: [54] [ 60/523] learning_rate: 0.368737 loss_vfl: 0.905628 loss_bbox: 0.310170 loss_dfl: 0.199092 loss: 1.398700 eta: 3 days, 10:19:45 batch_cost: 2.2350 data_cost: 0.0015 ips: 25.0557 images/s [10/14 17:58:43] ppdet.engine INFO: Epoch: [54] [ 80/523] learning_rate: 0.368694 loss_vfl: 0.881074 loss_bbox: 0.330072 loss_dfl: 0.204875 loss: 1.427360 eta: 3 days, 10:19:04 batch_cost: 2.3661 data_cost: 0.0012 ips: 23.6681 images/s [10/14 17:59:31] ppdet.engine INFO: Epoch: [54] [100/523] learning_rate: 0.368651 loss_vfl: 0.906362 loss_bbox: 0.322432 loss_dfl: 0.194130 loss: 1.416124 eta: 3 days, 10:18:17 batch_cost: 2.2888 data_cost: 0.0012 ips: 24.4673 images/s [10/14 18:00:19] ppdet.engine INFO: Epoch: [54] [120/523] learning_rate: 0.368608 loss_vfl: 0.884552 loss_bbox: 0.297136 loss_dfl: 0.188854 loss: 1.371386 eta: 3 days, 10:17:29 batch_cost: 2.2851 data_cost: 0.0014 ips: 24.5063 images/s [10/14 18:01:07] ppdet.engine INFO: Epoch: [54] [140/523] learning_rate: 0.368565 loss_vfl: 0.920790 loss_bbox: 0.301576 loss_dfl: 0.196603 loss: 1.421723 eta: 3 days, 10:16:43 batch_cost: 2.3099 data_cost: 0.0013 ips: 24.2431 images/s [10/14 18:01:56] ppdet.engine INFO: Epoch: [54] [160/523] learning_rate: 0.368521 loss_vfl: 0.898544 loss_bbox: 0.317341 loss_dfl: 0.199675 loss: 1.415784 eta: 3 days, 10:16:00 batch_cost: 2.3416 data_cost: 0.0012 ips: 23.9154 images/s [10/14 18:02:44] ppdet.engine INFO: Epoch: [54] [180/523] learning_rate: 0.368478 loss_vfl: 0.888492 loss_bbox: 0.320756 loss_dfl: 0.198348 loss: 1.407838 eta: 3 days, 10:15:13 batch_cost: 2.2948 data_cost: 0.0012 ips: 24.4035 images/s [10/14 18:03:32] ppdet.engine INFO: Epoch: [54] [200/523] learning_rate: 0.368435 loss_vfl: 0.901304 loss_bbox: 0.329689 loss_dfl: 0.206284 loss: 1.433937 eta: 3 days, 10:14:24 batch_cost: 2.2654 data_cost: 0.0013 ips: 24.7196 images/s [10/14 18:04:20] ppdet.engine INFO: Epoch: [54] [220/523] learning_rate: 0.368392 loss_vfl: 0.902009 loss_bbox: 0.327709 loss_dfl: 0.202852 loss: 1.432391 eta: 3 days, 10:13:38 batch_cost: 2.3098 data_cost: 0.0012 ips: 24.2448 images/s [10/14 18:05:09] ppdet.engine INFO: Epoch: [54] [240/523] learning_rate: 0.368349 loss_vfl: 0.903247 loss_bbox: 0.307860 loss_dfl: 0.188149 loss: 1.408383 eta: 3 days, 10:12:55 batch_cost: 2.3382 data_cost: 0.0012 ips: 23.9498 images/s [10/14 18:05:56] ppdet.engine INFO: Epoch: [54] [260/523] learning_rate: 0.368305 loss_vfl: 0.917610 loss_bbox: 0.326065 loss_dfl: 0.205012 loss: 1.439413 eta: 3 days, 10:12:02 batch_cost: 2.2285 data_cost: 0.0012 ips: 25.1295 images/s [10/14 18:06:44] ppdet.engine INFO: Epoch: [54] [280/523] learning_rate: 0.368262 loss_vfl: 0.902096 loss_bbox: 0.321387 loss_dfl: 0.200870 loss: 1.420936 eta: 3 days, 10:11:14 batch_cost: 2.2866 data_cost: 0.0013 ips: 24.4900 images/s [10/14 18:07:34] ppdet.engine INFO: Epoch: [54] [300/523] learning_rate: 0.368219 loss_vfl: 0.886437 loss_bbox: 0.296389 loss_dfl: 0.194047 loss: 1.379019 eta: 3 days, 10:10:36 batch_cost: 2.3922 data_cost: 0.0013 ips: 23.4095 images/s [10/14 18:08:25] ppdet.engine INFO: Epoch: [54] [320/523] learning_rate: 0.368175 loss_vfl: 0.915374 loss_bbox: 0.310228 loss_dfl: 0.200082 loss: 1.420223 eta: 3 days, 10:09:59 batch_cost: 2.4019 data_cost: 0.0015 ips: 23.3146 images/s [10/14 18:09:12] ppdet.engine INFO: Epoch: [54] [340/523] learning_rate: 0.368132 loss_vfl: 0.919853 loss_bbox: 0.322104 loss_dfl: 0.198806 loss: 1.426141 eta: 3 days, 10:09:07 batch_cost: 2.2442 data_cost: 0.0013 ips: 24.9537 images/s [10/14 18:09:59] ppdet.engine INFO: Epoch: [54] [360/523] learning_rate: 0.368089 loss_vfl: 0.922432 loss_bbox: 0.308635 loss_dfl: 0.196595 loss: 1.430129 eta: 3 days, 10:08:19 batch_cost: 2.2868 data_cost: 0.0013 ips: 24.4881 images/s [10/14 18:10:47] ppdet.engine INFO: Epoch: [54] [380/523] learning_rate: 0.368045 loss_vfl: 0.900360 loss_bbox: 0.329225 loss_dfl: 0.206461 loss: 1.448080 eta: 3 days, 10:07:30 batch_cost: 2.2627 data_cost: 0.0012 ips: 24.7496 images/s [10/14 18:11:35] ppdet.engine INFO: Epoch: [54] [400/523] learning_rate: 0.368002 loss_vfl: 0.892632 loss_bbox: 0.303927 loss_dfl: 0.195612 loss: 1.392780 eta: 3 days, 10:06:43 batch_cost: 2.2950 data_cost: 0.0012 ips: 24.4011 images/s [10/14 18:12:22] ppdet.engine INFO: Epoch: [54] [420/523] learning_rate: 0.367958 loss_vfl: 0.895641 loss_bbox: 0.311375 loss_dfl: 0.192516 loss: 1.409444 eta: 3 days, 10:05:51 batch_cost: 2.2468 data_cost: 0.0014 ips: 24.9244 images/s [10/14 18:13:10] ppdet.engine INFO: Epoch: [54] [440/523] learning_rate: 0.367915 loss_vfl: 0.917820 loss_bbox: 0.307541 loss_dfl: 0.202970 loss: 1.426083 eta: 3 days, 10:05:03 batch_cost: 2.2767 data_cost: 0.0012 ips: 24.5967 images/s [10/14 18:13:59] ppdet.engine INFO: Epoch: [54] [460/523] learning_rate: 0.367871 loss_vfl: 0.907730 loss_bbox: 0.321228 loss_dfl: 0.199367 loss: 1.415355 eta: 3 days, 10:04:20 batch_cost: 2.3458 data_cost: 0.0013 ips: 23.8729 images/s [10/14 18:14:47] ppdet.engine INFO: Epoch: [54] [480/523] learning_rate: 0.367828 loss_vfl: 0.908521 loss_bbox: 0.317394 loss_dfl: 0.196424 loss: 1.442323 eta: 3 days, 10:03:35 batch_cost: 2.3121 data_cost: 0.0013 ips: 24.2200 images/s [10/14 18:15:35] ppdet.engine INFO: Epoch: [54] [500/523] learning_rate: 0.367784 loss_vfl: 0.917081 loss_bbox: 0.321327 loss_dfl: 0.203118 loss: 1.459066 eta: 3 days, 10:02:44 batch_cost: 2.2544 data_cost: 0.0013 ips: 24.8400 images/s [10/14 18:16:16] ppdet.engine INFO: Epoch: [54] [520/523] learning_rate: 0.367741 loss_vfl: 0.905982 loss_bbox: 0.301202 loss_dfl: 0.195844 loss: 1.409535 eta: 3 days, 10:01:28 batch_cost: 1.9715 data_cost: 0.0012 ips: 28.4050 images/s [10/14 18:16:43] ppdet.engine INFO: Epoch: [55] [ 0/523] learning_rate: 0.367734 loss_vfl: 0.905982 loss_bbox: 0.293241 loss_dfl: 0.187348 loss: 1.407552 eta: 3 days, 10:02:37 batch_cost: 2.8431 data_cost: 0.3677 ips: 19.6970 images/s [10/14 18:17:36] ppdet.engine INFO: Epoch: [55] [ 20/523] learning_rate: 0.367690 loss_vfl: 0.905942 loss_bbox: 0.317923 loss_dfl: 0.197302 loss: 1.425512 eta: 3 days, 10:02:09 batch_cost: 2.5068 data_cost: 0.0015 ips: 22.3394 images/s [10/14 18:18:25] ppdet.engine INFO: Epoch: [55] [ 40/523] learning_rate: 0.367647 loss_vfl: 0.888021 loss_bbox: 0.299266 loss_dfl: 0.191689 loss: 1.380746 eta: 3 days, 10:01:26 batch_cost: 2.3429 data_cost: 0.0020 ips: 23.9025 images/s [10/14 18:19:12] ppdet.engine INFO: Epoch: [55] [ 60/523] learning_rate: 0.367603 loss_vfl: 0.907491 loss_bbox: 0.304181 loss_dfl: 0.196276 loss: 1.417212 eta: 3 days, 10:00:36 batch_cost: 2.2588 data_cost: 0.0012 ips: 24.7924 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loss_bbox: 0.320299 loss_dfl: 0.205644 loss: 1.452893 eta: 3 days, 9:53:57 batch_cost: 2.3658 data_cost: 0.0013 ips: 23.6707 images/s [10/14 18:27:19] ppdet.engine INFO: Epoch: [55] [260/523] learning_rate: 0.367165 loss_vfl: 0.914566 loss_bbox: 0.294291 loss_dfl: 0.186054 loss: 1.399113 eta: 3 days, 9:53:13 batch_cost: 2.3292 data_cost: 0.0012 ips: 24.0431 images/s [10/14 18:28:06] ppdet.engine INFO: Epoch: [55] [280/523] learning_rate: 0.367121 loss_vfl: 0.902780 loss_bbox: 0.308913 loss_dfl: 0.194125 loss: 1.411718 eta: 3 days, 9:52:22 batch_cost: 2.2470 data_cost: 0.0013 ips: 24.9224 images/s [10/14 18:28:54] ppdet.engine INFO: Epoch: [55] [300/523] learning_rate: 0.367077 loss_vfl: 0.910788 loss_bbox: 0.311174 loss_dfl: 0.200907 loss: 1.430248 eta: 3 days, 9:51:35 batch_cost: 2.3003 data_cost: 0.0012 ips: 24.3444 images/s [10/14 18:29:42] ppdet.engine INFO: Epoch: [55] [320/523] learning_rate: 0.367033 loss_vfl: 0.908951 loss_bbox: 0.302895 loss_dfl: 0.194275 loss: 1.424443 eta: 3 days, 9:50:46 batch_cost: 2.2656 data_cost: 0.0012 ips: 24.7171 images/s [10/14 18:30:30] ppdet.engine INFO: Epoch: [55] [340/523] learning_rate: 0.366989 loss_vfl: 0.923249 loss_bbox: 0.299556 loss_dfl: 0.190726 loss: 1.429560 eta: 3 days, 9:49:59 batch_cost: 2.2950 data_cost: 0.0012 ips: 24.4011 images/s [10/14 18:31:18] ppdet.engine INFO: Epoch: [55] [360/523] learning_rate: 0.366945 loss_vfl: 0.917220 loss_bbox: 0.301719 loss_dfl: 0.200583 loss: 1.429047 eta: 3 days, 9:49:10 batch_cost: 2.2802 data_cost: 0.0012 ips: 24.5594 images/s [10/14 18:32:05] ppdet.engine INFO: Epoch: [55] [380/523] learning_rate: 0.366900 loss_vfl: 0.907867 loss_bbox: 0.318891 loss_dfl: 0.194897 loss: 1.441012 eta: 3 days, 9:48:18 batch_cost: 2.2375 data_cost: 0.0012 ips: 25.0274 images/s [10/14 18:32:54] ppdet.engine INFO: Epoch: [55] [400/523] learning_rate: 0.366856 loss_vfl: 0.918389 loss_bbox: 0.301485 loss_dfl: 0.193623 loss: 1.416028 eta: 3 days, 9:47:36 batch_cost: 2.3462 data_cost: 0.0013 ips: 23.8682 images/s [10/14 18:33:43] ppdet.engine INFO: Epoch: [55] [420/523] learning_rate: 0.366812 loss_vfl: 0.910362 loss_bbox: 0.330207 loss_dfl: 0.200508 loss: 1.437568 eta: 3 days, 9:46:51 batch_cost: 2.3140 data_cost: 0.0013 ips: 24.2008 images/s [10/14 18:34:33] ppdet.engine INFO: Epoch: [55] [440/523] learning_rate: 0.366768 loss_vfl: 0.905177 loss_bbox: 0.314983 loss_dfl: 0.197869 loss: 1.417014 eta: 3 days, 9:46:13 batch_cost: 2.4052 data_cost: 0.0013 ips: 23.2827 images/s [10/14 18:35:23] ppdet.engine INFO: Epoch: [55] [460/523] learning_rate: 0.366724 loss_vfl: 0.905990 loss_bbox: 0.309025 loss_dfl: 0.196225 loss: 1.416945 eta: 3 days, 9:45:36 batch_cost: 2.4100 data_cost: 0.0013 ips: 23.2364 images/s [10/14 18:36:13] ppdet.engine INFO: Epoch: [55] [480/523] learning_rate: 0.366679 loss_vfl: 0.907834 loss_bbox: 0.312435 loss_dfl: 0.199112 loss: 1.416855 eta: 3 days, 9:44:55 batch_cost: 2.3645 data_cost: 0.0013 ips: 23.6837 images/s [10/14 18:37:01] ppdet.engine INFO: Epoch: [55] [500/523] learning_rate: 0.366635 loss_vfl: 0.905579 loss_bbox: 0.322236 loss_dfl: 0.203575 loss: 1.429514 eta: 3 days, 9:44:10 batch_cost: 2.3144 data_cost: 0.0012 ips: 24.1962 images/s [10/14 18:37:43] ppdet.engine INFO: Epoch: [55] [520/523] learning_rate: 0.366591 loss_vfl: 0.926726 loss_bbox: 0.303609 loss_dfl: 0.196630 loss: 1.418953 eta: 3 days, 9:42:58 batch_cost: 2.0037 data_cost: 0.0012 ips: 27.9489 images/s [10/14 18:38:13] ppdet.engine INFO: Epoch: [56] [ 0/523] learning_rate: 0.366584 loss_vfl: 0.923441 loss_bbox: 0.311502 loss_dfl: 0.199529 loss: 1.425773 eta: 3 days, 9:44:14 batch_cost: 2.9526 data_cost: 0.5556 ips: 18.9665 images/s [10/14 18:39:03] ppdet.engine INFO: Epoch: [56] [ 20/523] learning_rate: 0.366540 loss_vfl: 0.882299 loss_bbox: 0.312581 loss_dfl: 0.198545 loss: 1.407982 eta: 3 days, 9:43:36 batch_cost: 2.3971 data_cost: 0.0014 ips: 23.3620 images/s [10/14 18:39:51] ppdet.engine INFO: Epoch: [56] [ 40/523] learning_rate: 0.366496 loss_vfl: 0.878270 loss_bbox: 0.332132 loss_dfl: 0.200704 loss: 1.424770 eta: 3 days, 9:42:52 batch_cost: 2.3278 data_cost: 0.0013 ips: 24.0575 images/s [10/14 18:40:41] ppdet.engine INFO: Epoch: [56] [ 60/523] learning_rate: 0.366451 loss_vfl: 0.898865 loss_bbox: 0.299696 loss_dfl: 0.198695 loss: 1.406029 eta: 3 days, 9:42:10 batch_cost: 2.3609 data_cost: 0.0013 ips: 23.7201 images/s [10/14 18:41:29] ppdet.engine INFO: Epoch: [56] [ 80/523] learning_rate: 0.366407 loss_vfl: 0.902647 loss_bbox: 0.294737 loss_dfl: 0.191076 loss: 1.397039 eta: 3 days, 9:41:24 batch_cost: 2.3077 data_cost: 0.0012 ips: 24.2664 images/s [10/14 18:42:18] ppdet.engine INFO: Epoch: [56] [100/523] learning_rate: 0.366362 loss_vfl: 0.900317 loss_bbox: 0.290776 loss_dfl: 0.189837 loss: 1.386105 eta: 3 days, 9:40:41 batch_cost: 2.3406 data_cost: 0.0019 ips: 23.9254 images/s [10/14 18:43:09] ppdet.engine INFO: Epoch: [56] [120/523] learning_rate: 0.366318 loss_vfl: 0.916299 loss_bbox: 0.317208 loss_dfl: 0.199170 loss: 1.419324 eta: 3 days, 9:40:08 batch_cost: 2.4563 data_cost: 0.0013 ips: 22.7985 images/s [10/14 18:43:57] ppdet.engine INFO: Epoch: [56] [140/523] learning_rate: 0.366273 loss_vfl: 0.901160 loss_bbox: 0.312842 loss_dfl: 0.198242 loss: 1.405192 eta: 3 days, 9:39:19 batch_cost: 2.2775 data_cost: 0.0012 ips: 24.5888 images/s [10/14 18:44:45] ppdet.engine INFO: Epoch: [56] [160/523] learning_rate: 0.366229 loss_vfl: 0.901344 loss_bbox: 0.299017 loss_dfl: 0.198539 loss: 1.395011 eta: 3 days, 9:38:32 batch_cost: 2.2931 data_cost: 0.0012 ips: 24.4211 images/s [10/14 18:45:32] ppdet.engine INFO: Epoch: [56] [180/523] learning_rate: 0.366184 loss_vfl: 0.903324 loss_bbox: 0.319147 loss_dfl: 0.200544 loss: 1.442952 eta: 3 days, 9:37:42 batch_cost: 2.2542 data_cost: 0.0012 ips: 24.8425 images/s [10/14 18:46:20] ppdet.engine INFO: Epoch: [56] [200/523] learning_rate: 0.366140 loss_vfl: 0.929737 loss_bbox: 0.312629 loss_dfl: 0.195769 loss: 1.429458 eta: 3 days, 9:36:51 batch_cost: 2.2518 data_cost: 0.0013 ips: 24.8695 images/s [10/14 18:47:07] ppdet.engine INFO: Epoch: [56] [220/523] learning_rate: 0.366095 loss_vfl: 0.928535 loss_bbox: 0.314626 loss_dfl: 0.195653 loss: 1.436766 eta: 3 days, 9:36:02 batch_cost: 2.2734 data_cost: 0.0012 ips: 24.6324 images/s [10/14 18:47:54] ppdet.engine INFO: Epoch: [56] [240/523] learning_rate: 0.366050 loss_vfl: 0.899467 loss_bbox: 0.300581 loss_dfl: 0.197270 loss: 1.401425 eta: 3 days, 9:35:12 batch_cost: 2.2632 data_cost: 0.0012 ips: 24.7436 images/s [10/14 18:48:42] ppdet.engine INFO: Epoch: [56] [260/523] learning_rate: 0.366006 loss_vfl: 0.913599 loss_bbox: 0.349931 loss_dfl: 0.210393 loss: 1.432731 eta: 3 days, 9:34:22 batch_cost: 2.2610 data_cost: 0.0013 ips: 24.7677 images/s [10/14 18:49:30] ppdet.engine INFO: Epoch: [56] [280/523] learning_rate: 0.365961 loss_vfl: 0.906262 loss_bbox: 0.313828 loss_dfl: 0.197223 loss: 1.434478 eta: 3 days, 9:33:35 batch_cost: 2.2926 data_cost: 0.0013 ips: 24.4268 images/s [10/14 18:50:18] ppdet.engine INFO: Epoch: [56] [300/523] learning_rate: 0.365916 loss_vfl: 0.901926 loss_bbox: 0.300956 loss_dfl: 0.194996 loss: 1.389181 eta: 3 days, 9:32:45 batch_cost: 2.2616 data_cost: 0.0012 ips: 24.7612 images/s [10/14 18:51:06] ppdet.engine INFO: Epoch: [56] [320/523] learning_rate: 0.365872 loss_vfl: 0.906512 loss_bbox: 0.327374 loss_dfl: 0.202094 loss: 1.441377 eta: 3 days, 9:31:59 batch_cost: 2.3039 data_cost: 0.0021 ips: 24.3071 images/s [10/14 18:51:54] ppdet.engine INFO: Epoch: [56] [340/523] learning_rate: 0.365827 loss_vfl: 0.916664 loss_bbox: 0.303419 loss_dfl: 0.197614 loss: 1.432951 eta: 3 days, 9:31:10 batch_cost: 2.2726 data_cost: 0.0013 ips: 24.6413 images/s [10/14 18:52:41] ppdet.engine INFO: Epoch: [56] [360/523] learning_rate: 0.365782 loss_vfl: 0.921517 loss_bbox: 0.307301 loss_dfl: 0.194000 loss: 1.419057 eta: 3 days, 9:30:20 batch_cost: 2.2652 data_cost: 0.0014 ips: 24.7214 images/s [10/14 18:53:29] ppdet.engine INFO: Epoch: [56] [380/523] learning_rate: 0.365737 loss_vfl: 0.923285 loss_bbox: 0.309442 loss_dfl: 0.196759 loss: 1.418114 eta: 3 days, 9:29:30 batch_cost: 2.2595 data_cost: 0.0013 ips: 24.7842 images/s [10/14 18:54:17] ppdet.engine INFO: Epoch: [56] [400/523] learning_rate: 0.365692 loss_vfl: 0.926447 loss_bbox: 0.295237 loss_dfl: 0.192799 loss: 1.426382 eta: 3 days, 9:28:44 batch_cost: 2.3073 data_cost: 0.0012 ips: 24.2704 images/s [10/14 18:55:06] ppdet.engine INFO: Epoch: [56] [420/523] learning_rate: 0.365648 loss_vfl: 0.911045 loss_bbox: 0.305850 loss_dfl: 0.192178 loss: 1.410203 eta: 3 days, 9:28:00 batch_cost: 2.3275 data_cost: 0.0012 ips: 24.0598 images/s [10/14 18:55:53] ppdet.engine INFO: Epoch: [56] [440/523] learning_rate: 0.365603 loss_vfl: 0.921157 loss_bbox: 0.322780 loss_dfl: 0.197847 loss: 1.431026 eta: 3 days, 9:27:09 batch_cost: 2.2574 data_cost: 0.0014 ips: 24.8075 images/s [10/14 18:56:42] ppdet.engine INFO: Epoch: [56] [460/523] learning_rate: 0.365558 loss_vfl: 0.909072 loss_bbox: 0.302099 loss_dfl: 0.191243 loss: 1.415778 eta: 3 days, 9:26:24 batch_cost: 2.3134 data_cost: 0.0014 ips: 24.2066 images/s [10/14 18:57:31] ppdet.engine INFO: Epoch: [56] [480/523] learning_rate: 0.365513 loss_vfl: 0.939702 loss_bbox: 0.302749 loss_dfl: 0.193428 loss: 1.433509 eta: 3 days, 9:25:40 batch_cost: 2.3353 data_cost: 0.0013 ips: 23.9796 images/s [10/14 18:58:19] ppdet.engine INFO: Epoch: [56] [500/523] learning_rate: 0.365468 loss_vfl: 0.926690 loss_bbox: 0.318500 loss_dfl: 0.200854 loss: 1.459462 eta: 3 days, 9:24:55 batch_cost: 2.3113 data_cost: 0.0017 ips: 24.2292 images/s [10/14 18:59:03] ppdet.engine INFO: Epoch: [56] [520/523] learning_rate: 0.365423 loss_vfl: 0.927389 loss_bbox: 0.305447 loss_dfl: 0.196567 loss: 1.434844 eta: 3 days, 9:23:48 batch_cost: 2.0647 data_cost: 0.0012 ips: 27.1220 images/s [10/14 18:59:30] ppdet.engine INFO: Epoch: [57] [ 0/523] learning_rate: 0.365416 loss_vfl: 0.932069 loss_bbox: 0.305447 loss_dfl: 0.198965 loss: 1.434844 eta: 3 days, 9:24:53 batch_cost: 2.9072 data_cost: 0.3601 ips: 19.2622 images/s [10/14 19:00:20] ppdet.engine INFO: Epoch: [57] [ 20/523] learning_rate: 0.365371 loss_vfl: 0.887522 loss_bbox: 0.337934 loss_dfl: 0.207219 loss: 1.435319 eta: 3 days, 9:24:11 batch_cost: 2.3597 data_cost: 0.0012 ips: 23.7319 images/s [10/14 19:01:08] ppdet.engine INFO: Epoch: [57] [ 40/523] learning_rate: 0.365326 loss_vfl: 0.909221 loss_bbox: 0.319533 loss_dfl: 0.198452 loss: 1.424938 eta: 3 days, 9:23:23 batch_cost: 2.2795 data_cost: 0.0012 ips: 24.5672 images/s [10/14 19:01:56] ppdet.engine INFO: Epoch: [57] [ 60/523] learning_rate: 0.365281 loss_vfl: 0.910665 loss_bbox: 0.301985 loss_dfl: 0.197270 loss: 1.404387 eta: 3 days, 9:22:35 batch_cost: 2.2873 data_cost: 0.0012 ips: 24.4834 images/s [10/14 19:02:43] ppdet.engine INFO: Epoch: [57] [ 80/523] learning_rate: 0.365236 loss_vfl: 0.895414 loss_bbox: 0.323638 loss_dfl: 0.196316 loss: 1.395794 eta: 3 days, 9:21:45 batch_cost: 2.2578 data_cost: 0.0013 ips: 24.8033 images/s [10/14 19:03:31] ppdet.engine INFO: Epoch: [57] [100/523] learning_rate: 0.365191 loss_vfl: 0.899311 loss_bbox: 0.304995 loss_dfl: 0.194650 loss: 1.407874 eta: 3 days, 9:20:56 batch_cost: 2.2704 data_cost: 0.0013 ips: 24.6655 images/s [10/14 19:04:18] ppdet.engine INFO: Epoch: [57] [120/523] learning_rate: 0.365146 loss_vfl: 0.913189 loss_bbox: 0.311583 loss_dfl: 0.199415 loss: 1.419520 eta: 3 days, 9:20:05 batch_cost: 2.2510 data_cost: 0.0012 ips: 24.8780 images/s [10/14 19:05:06] ppdet.engine INFO: Epoch: [57] [140/523] learning_rate: 0.365100 loss_vfl: 0.887173 loss_bbox: 0.318032 loss_dfl: 0.191330 loss: 1.416310 eta: 3 days, 9:19:18 batch_cost: 2.3014 data_cost: 0.0012 ips: 24.3332 images/s [10/14 19:05:52] ppdet.engine INFO: Epoch: [57] [160/523] learning_rate: 0.365055 loss_vfl: 0.897975 loss_bbox: 0.331347 loss_dfl: 0.203130 loss: 1.437820 eta: 3 days, 9:18:21 batch_cost: 2.1703 data_cost: 0.0012 ips: 25.8025 images/s [10/14 19:06:40] ppdet.engine INFO: Epoch: [57] [180/523] learning_rate: 0.365010 loss_vfl: 0.900956 loss_bbox: 0.326122 loss_dfl: 0.203338 loss: 1.432584 eta: 3 days, 9:17:33 batch_cost: 2.2906 data_cost: 0.0013 ips: 24.4483 images/s [10/14 19:07:29] ppdet.engine INFO: Epoch: [57] [200/523] learning_rate: 0.364965 loss_vfl: 0.932176 loss_bbox: 0.329721 loss_dfl: 0.210108 loss: 1.463668 eta: 3 days, 9:16:49 batch_cost: 2.3260 data_cost: 0.0012 ips: 24.0758 images/s [10/14 19:08:18] ppdet.engine INFO: Epoch: [57] [220/523] learning_rate: 0.364919 loss_vfl: 0.913315 loss_bbox: 0.319066 loss_dfl: 0.199417 loss: 1.420202 eta: 3 days, 9:16:07 batch_cost: 2.3494 data_cost: 0.0013 ips: 23.8359 images/s [10/14 19:09:07] ppdet.engine INFO: Epoch: [57] [240/523] learning_rate: 0.364874 loss_vfl: 0.922101 loss_bbox: 0.300625 loss_dfl: 0.191258 loss: 1.427863 eta: 3 days, 9:15:22 batch_cost: 2.3260 data_cost: 0.0012 ips: 24.0757 images/s [10/14 19:09:54] ppdet.engine INFO: Epoch: [57] [260/523] learning_rate: 0.364829 loss_vfl: 0.910959 loss_bbox: 0.313513 loss_dfl: 0.194346 loss: 1.409986 eta: 3 days, 9:14:32 batch_cost: 2.2606 data_cost: 0.0013 ips: 24.7726 images/s [10/14 19:10:42] ppdet.engine INFO: Epoch: [57] [280/523] learning_rate: 0.364783 loss_vfl: 0.906210 loss_bbox: 0.314003 loss_dfl: 0.200534 loss: 1.430768 eta: 3 days, 9:13:46 batch_cost: 2.3068 data_cost: 0.0012 ips: 24.2758 images/s [10/14 19:11:30] ppdet.engine INFO: Epoch: [57] [300/523] learning_rate: 0.364738 loss_vfl: 0.915018 loss_bbox: 0.311242 loss_dfl: 0.194224 loss: 1.426030 eta: 3 days, 9:12:55 batch_cost: 2.2520 data_cost: 0.0012 ips: 24.8673 images/s [10/14 19:12:18] ppdet.engine INFO: Epoch: [57] [320/523] learning_rate: 0.364692 loss_vfl: 0.907507 loss_bbox: 0.303389 loss_dfl: 0.196617 loss: 1.390722 eta: 3 days, 9:12:08 batch_cost: 2.2951 data_cost: 0.0012 ips: 24.4000 images/s [10/14 19:13:07] ppdet.engine INFO: Epoch: [57] [340/523] learning_rate: 0.364647 loss_vfl: 0.927835 loss_bbox: 0.295837 loss_dfl: 0.193760 loss: 1.412712 eta: 3 days, 9:11:25 batch_cost: 2.3396 data_cost: 0.0013 ips: 23.9355 images/s [10/14 19:13:55] ppdet.engine INFO: Epoch: [57] [360/523] learning_rate: 0.364601 loss_vfl: 0.904417 loss_bbox: 0.324604 loss_dfl: 0.205511 loss: 1.442823 eta: 3 days, 9:10:41 batch_cost: 2.3327 data_cost: 0.0012 ips: 24.0061 images/s [10/14 19:14:44] ppdet.engine INFO: Epoch: [57] [380/523] learning_rate: 0.364556 loss_vfl: 0.906735 loss_bbox: 0.308562 loss_dfl: 0.192715 loss: 1.405669 eta: 3 days, 9:09:56 batch_cost: 2.3214 data_cost: 0.0013 ips: 24.1229 images/s [10/14 19:15:32] ppdet.engine INFO: Epoch: [57] [400/523] learning_rate: 0.364510 loss_vfl: 0.923531 loss_bbox: 0.302486 loss_dfl: 0.194657 loss: 1.409689 eta: 3 days, 9:09:09 batch_cost: 2.2961 data_cost: 0.0012 ips: 24.3890 images/s [10/14 19:16:21] ppdet.engine INFO: Epoch: [57] [420/523] learning_rate: 0.364465 loss_vfl: 0.895310 loss_bbox: 0.305558 loss_dfl: 0.191511 loss: 1.395843 eta: 3 days, 9:08:26 batch_cost: 2.3412 data_cost: 0.0027 ips: 23.9198 images/s [10/14 19:17:09] ppdet.engine INFO: Epoch: [57] [440/523] learning_rate: 0.364419 loss_vfl: 0.887241 loss_bbox: 0.314723 loss_dfl: 0.200681 loss: 1.398540 eta: 3 days, 9:07:37 batch_cost: 2.2724 data_cost: 0.0012 ips: 24.6433 images/s [10/14 19:17:58] ppdet.engine INFO: Epoch: [57] [460/523] learning_rate: 0.364374 loss_vfl: 0.903486 loss_bbox: 0.299998 loss_dfl: 0.197260 loss: 1.407526 eta: 3 days, 9:06:54 batch_cost: 2.3341 data_cost: 0.0013 ips: 23.9919 images/s [10/14 19:18:45] ppdet.engine INFO: Epoch: [57] [480/523] learning_rate: 0.364328 loss_vfl: 0.920289 loss_bbox: 0.293776 loss_dfl: 0.194081 loss: 1.397089 eta: 3 days, 9:06:05 batch_cost: 2.2726 data_cost: 0.0012 ips: 24.6415 images/s [10/14 19:19:32] ppdet.engine INFO: Epoch: [57] [500/523] learning_rate: 0.364282 loss_vfl: 0.913473 loss_bbox: 0.315476 loss_dfl: 0.196032 loss: 1.409931 eta: 3 days, 9:05:12 batch_cost: 2.2227 data_cost: 0.0012 ips: 25.1948 images/s [10/14 19:20:13] ppdet.engine INFO: Epoch: [57] [520/523] learning_rate: 0.364237 loss_vfl: 0.887280 loss_bbox: 0.326066 loss_dfl: 0.199785 loss: 1.421371 eta: 3 days, 9:03:55 batch_cost: 1.9454 data_cost: 0.0011 ips: 28.7854 images/s [10/14 19:20:40] ppdet.engine INFO: Epoch: [58] [ 0/523] learning_rate: 0.364230 loss_vfl: 0.892285 loss_bbox: 0.311902 loss_dfl: 0.195800 loss: 1.416630 eta: 3 days, 9:05:00 batch_cost: 2.8155 data_cost: 0.6148 ips: 19.8899 images/s [10/14 19:21:33] ppdet.engine INFO: Epoch: [58] [ 20/523] learning_rate: 0.364184 loss_vfl: 0.903909 loss_bbox: 0.307294 loss_dfl: 0.195008 loss: 1.401433 eta: 3 days, 9:04:31 batch_cost: 2.5151 data_cost: 0.0015 ips: 22.2659 images/s [10/14 19:22:21] ppdet.engine INFO: Epoch: [58] [ 40/523] learning_rate: 0.364138 loss_vfl: 0.909324 loss_bbox: 0.308903 loss_dfl: 0.195675 loss: 1.412856 eta: 3 days, 9:03:46 batch_cost: 2.3175 data_cost: 0.0013 ips: 24.1640 images/s [10/14 19:23:08] ppdet.engine INFO: Epoch: [58] [ 60/523] learning_rate: 0.364093 loss_vfl: 0.900076 loss_bbox: 0.305451 loss_dfl: 0.188606 loss: 1.390598 eta: 3 days, 9:02:52 batch_cost: 2.2172 data_cost: 0.0012 ips: 25.2576 images/s [10/14 19:23:55] ppdet.engine INFO: Epoch: [58] [ 80/523] learning_rate: 0.364047 loss_vfl: 0.913436 loss_bbox: 0.306487 loss_dfl: 0.193784 loss: 1.416096 eta: 3 days, 9:02:01 batch_cost: 2.2417 data_cost: 0.0013 ips: 24.9806 images/s [10/14 19:24:41] ppdet.engine INFO: Epoch: [58] [100/523] learning_rate: 0.364001 loss_vfl: 0.890176 loss_bbox: 0.296649 loss_dfl: 0.184703 loss: 1.396775 eta: 3 days, 9:01:08 batch_cost: 2.2240 data_cost: 0.0014 ips: 25.1795 images/s [10/14 19:25:30] ppdet.engine INFO: Epoch: [58] [120/523] learning_rate: 0.363955 loss_vfl: 0.906309 loss_bbox: 0.313924 loss_dfl: 0.200923 loss: 1.423538 eta: 3 days, 9:00:24 batch_cost: 2.3339 data_cost: 0.0012 ips: 23.9946 images/s [10/14 19:26:18] ppdet.engine INFO: Epoch: [58] [140/523] learning_rate: 0.363909 loss_vfl: 0.929601 loss_bbox: 0.285540 loss_dfl: 0.186949 loss: 1.412629 eta: 3 days, 8:59:36 batch_cost: 2.2831 data_cost: 0.0012 ips: 24.5278 images/s [10/14 19:27:07] ppdet.engine INFO: Epoch: [58] [160/523] learning_rate: 0.363863 loss_vfl: 0.896573 loss_bbox: 0.320267 loss_dfl: 0.203491 loss: 1.419520 eta: 3 days, 8:58:51 batch_cost: 2.3265 data_cost: 0.0012 ips: 24.0702 images/s [10/14 19:27:55] ppdet.engine INFO: Epoch: [58] [180/523] learning_rate: 0.363817 loss_vfl: 0.905700 loss_bbox: 0.295865 loss_dfl: 0.195410 loss: 1.394379 eta: 3 days, 8:58:07 batch_cost: 2.3291 data_cost: 0.0013 ips: 24.0432 images/s [10/14 19:28:43] ppdet.engine INFO: Epoch: [58] [200/523] learning_rate: 0.363771 loss_vfl: 0.911134 loss_bbox: 0.293407 loss_dfl: 0.190235 loss: 1.388629 eta: 3 days, 8:57:19 batch_cost: 2.2802 data_cost: 0.0012 ips: 24.5592 images/s [10/14 19:29:31] ppdet.engine INFO: Epoch: [58] [220/523] learning_rate: 0.363725 loss_vfl: 0.905562 loss_bbox: 0.338380 loss_dfl: 0.209565 loss: 1.443628 eta: 3 days, 8:56:31 batch_cost: 2.2813 data_cost: 0.0029 ips: 24.5471 images/s [10/14 19:30:18] ppdet.engine INFO: Epoch: [58] [240/523] learning_rate: 0.363679 loss_vfl: 0.922005 loss_bbox: 0.287470 loss_dfl: 0.188658 loss: 1.405611 eta: 3 days, 8:55:40 batch_cost: 2.2523 data_cost: 0.0012 ips: 24.8636 images/s [10/14 19:31:06] ppdet.engine INFO: Epoch: [58] [260/523] learning_rate: 0.363633 loss_vfl: 0.918042 loss_bbox: 0.305940 loss_dfl: 0.193625 loss: 1.433146 eta: 3 days, 8:54:50 batch_cost: 2.2537 data_cost: 0.0012 ips: 24.8476 images/s [10/14 19:31:52] ppdet.engine INFO: Epoch: [58] [280/523] learning_rate: 0.363587 loss_vfl: 0.908264 loss_bbox: 0.306060 loss_dfl: 0.196813 loss: 1.399206 eta: 3 days, 8:53:55 batch_cost: 2.2075 data_cost: 0.0018 ips: 25.3682 images/s [10/14 19:32:40] ppdet.engine INFO: Epoch: [58] [300/523] learning_rate: 0.363541 loss_vfl: 0.903899 loss_bbox: 0.293357 loss_dfl: 0.190915 loss: 1.412292 eta: 3 days, 8:53:05 batch_cost: 2.2551 data_cost: 0.0019 ips: 24.8323 images/s [10/14 19:33:27] ppdet.engine INFO: Epoch: [58] [320/523] learning_rate: 0.363495 loss_vfl: 0.911288 loss_bbox: 0.305649 loss_dfl: 0.196833 loss: 1.426299 eta: 3 days, 8:52:15 batch_cost: 2.2562 data_cost: 0.0013 ips: 24.8200 images/s [10/14 19:34:14] ppdet.engine INFO: Epoch: [58] [340/523] learning_rate: 0.363449 loss_vfl: 0.906960 loss_bbox: 0.342220 loss_dfl: 0.210452 loss: 1.449963 eta: 3 days, 8:51:22 batch_cost: 2.2263 data_cost: 0.0013 ips: 25.1541 images/s [10/14 19:35:00] ppdet.engine INFO: Epoch: [58] [360/523] learning_rate: 0.363403 loss_vfl: 0.906028 loss_bbox: 0.308708 loss_dfl: 0.193773 loss: 1.429572 eta: 3 days, 8:50:27 batch_cost: 2.2014 data_cost: 0.0013 ips: 25.4381 images/s [10/14 19:35:49] ppdet.engine INFO: Epoch: [58] [380/523] learning_rate: 0.363357 loss_vfl: 0.910869 loss_bbox: 0.297530 loss_dfl: 0.186112 loss: 1.402523 eta: 3 days, 8:49:44 batch_cost: 2.3398 data_cost: 0.0012 ips: 23.9333 images/s [10/14 19:36:36] ppdet.engine INFO: Epoch: [58] [400/523] learning_rate: 0.363310 loss_vfl: 0.911574 loss_bbox: 0.303803 loss_dfl: 0.194571 loss: 1.385942 eta: 3 days, 8:48:53 batch_cost: 2.2507 data_cost: 0.0012 ips: 24.8806 images/s [10/14 19:37:24] ppdet.engine INFO: Epoch: [58] [420/523] learning_rate: 0.363264 loss_vfl: 0.908959 loss_bbox: 0.300676 loss_dfl: 0.192025 loss: 1.398716 eta: 3 days, 8:48:08 batch_cost: 2.3152 data_cost: 0.0013 ips: 24.1883 images/s [10/14 19:38:13] ppdet.engine INFO: Epoch: [58] [440/523] learning_rate: 0.363218 loss_vfl: 0.908202 loss_bbox: 0.312970 loss_dfl: 0.194292 loss: 1.423297 eta: 3 days, 8:47:21 batch_cost: 2.2893 data_cost: 0.0012 ips: 24.4616 images/s [10/14 19:39:01] ppdet.engine INFO: Epoch: [58] [460/523] learning_rate: 0.363172 loss_vfl: 0.919578 loss_bbox: 0.308772 loss_dfl: 0.199354 loss: 1.420074 eta: 3 days, 8:46:33 batch_cost: 2.2892 data_cost: 0.0013 ips: 24.4625 images/s [10/14 19:39:49] ppdet.engine INFO: Epoch: [58] [480/523] learning_rate: 0.363125 loss_vfl: 0.900713 loss_bbox: 0.314409 loss_dfl: 0.202480 loss: 1.430808 eta: 3 days, 8:45:46 batch_cost: 2.2953 data_cost: 0.0013 ips: 24.3977 images/s [10/14 19:40:37] ppdet.engine INFO: Epoch: [58] [500/523] learning_rate: 0.363079 loss_vfl: 0.908947 loss_bbox: 0.309035 loss_dfl: 0.194678 loss: 1.421637 eta: 3 days, 8:45:01 batch_cost: 2.3234 data_cost: 0.0012 ips: 24.1030 images/s [10/14 19:41:19] ppdet.engine INFO: Epoch: [58] [520/523] learning_rate: 0.363033 loss_vfl: 0.896594 loss_bbox: 0.335100 loss_dfl: 0.203515 loss: 1.425354 eta: 3 days, 8:43:48 batch_cost: 1.9742 data_cost: 0.0012 ips: 28.3658 images/s [10/14 19:41:48] ppdet.engine INFO: Epoch: [59] [ 0/523] learning_rate: 0.363026 loss_vfl: 0.898748 loss_bbox: 0.335100 loss_dfl: 0.202655 loss: 1.427127 eta: 3 days, 8:44:59 batch_cost: 2.9373 data_cost: 0.7550 ips: 19.0653 images/s [10/14 19:42:39] ppdet.engine INFO: Epoch: [59] [ 20/523] learning_rate: 0.362979 loss_vfl: 0.878169 loss_bbox: 0.317161 loss_dfl: 0.200361 loss: 1.407463 eta: 3 days, 8:44:24 batch_cost: 2.4447 data_cost: 0.0019 ips: 22.9070 images/s [10/14 19:43:28] ppdet.engine INFO: Epoch: [59] [ 40/523] learning_rate: 0.362933 loss_vfl: 0.886735 loss_bbox: 0.309910 loss_dfl: 0.196439 loss: 1.398162 eta: 3 days, 8:43:37 batch_cost: 2.3008 data_cost: 0.0024 ips: 24.3389 images/s [10/14 19:44:16] ppdet.engine INFO: Epoch: [59] [ 60/523] learning_rate: 0.362886 loss_vfl: 0.917849 loss_bbox: 0.339663 loss_dfl: 0.206539 loss: 1.448286 eta: 3 days, 8:42:49 batch_cost: 2.2841 data_cost: 0.0013 ips: 24.5177 images/s [10/14 19:45:04] ppdet.engine INFO: Epoch: [59] [ 80/523] learning_rate: 0.362840 loss_vfl: 0.916457 loss_bbox: 0.290353 loss_dfl: 0.188160 loss: 1.402865 eta: 3 days, 8:42:05 batch_cost: 2.3228 data_cost: 0.0012 ips: 24.1093 images/s [10/14 19:45:52] ppdet.engine INFO: Epoch: [59] [100/523] learning_rate: 0.362793 loss_vfl: 0.889121 loss_bbox: 0.329934 loss_dfl: 0.205157 loss: 1.403396 eta: 3 days, 8:41:15 batch_cost: 2.2590 data_cost: 0.0019 ips: 24.7903 images/s [10/14 19:46:40] ppdet.engine INFO: Epoch: [59] [120/523] learning_rate: 0.362747 loss_vfl: 0.900266 loss_bbox: 0.318375 loss_dfl: 0.202992 loss: 1.412843 eta: 3 days, 8:40:24 batch_cost: 2.2509 data_cost: 0.0012 ips: 24.8784 images/s [10/14 19:47:28] ppdet.engine INFO: Epoch: [59] [140/523] learning_rate: 0.362700 loss_vfl: 0.896974 loss_bbox: 0.320175 loss_dfl: 0.207151 loss: 1.421094 eta: 3 days, 8:39:38 batch_cost: 2.3131 data_cost: 0.0014 ips: 24.2095 images/s [10/14 19:48:16] ppdet.engine INFO: Epoch: [59] [160/523] learning_rate: 0.362654 loss_vfl: 0.885594 loss_bbox: 0.315664 loss_dfl: 0.196421 loss: 1.406374 eta: 3 days, 8:38:49 batch_cost: 2.2635 data_cost: 0.0012 ips: 24.7409 images/s [10/14 19:49:04] ppdet.engine INFO: Epoch: [59] [180/523] learning_rate: 0.362607 loss_vfl: 0.903535 loss_bbox: 0.319027 loss_dfl: 0.194730 loss: 1.397822 eta: 3 days, 8:38:04 batch_cost: 2.3214 data_cost: 0.0013 ips: 24.1232 images/s [10/14 19:49:52] ppdet.engine INFO: Epoch: [59] [200/523] learning_rate: 0.362560 loss_vfl: 0.912471 loss_bbox: 0.303307 loss_dfl: 0.196568 loss: 1.399168 eta: 3 days, 8:37:14 batch_cost: 2.2587 data_cost: 0.0012 ips: 24.7926 images/s [10/14 19:50:39] ppdet.engine INFO: Epoch: [59] [220/523] learning_rate: 0.362514 loss_vfl: 0.893127 loss_bbox: 0.299441 loss_dfl: 0.189551 loss: 1.394621 eta: 3 days, 8:36:25 batch_cost: 2.2685 data_cost: 0.0012 ips: 24.6854 images/s [10/14 19:51:29] ppdet.engine INFO: Epoch: [59] [240/523] learning_rate: 0.362467 loss_vfl: 0.889622 loss_bbox: 0.311527 loss_dfl: 0.190718 loss: 1.399569 eta: 3 days, 8:35:44 batch_cost: 2.3749 data_cost: 0.0012 ips: 23.5804 images/s [10/14 19:52:18] ppdet.engine INFO: Epoch: [59] [260/523] learning_rate: 0.362420 loss_vfl: 0.900654 loss_bbox: 0.315587 loss_dfl: 0.205501 loss: 1.425788 eta: 3 days, 8:35:02 batch_cost: 2.3598 data_cost: 0.0031 ips: 23.7309 images/s [10/14 19:53:06] ppdet.engine INFO: Epoch: [59] [280/523] learning_rate: 0.362373 loss_vfl: 0.910425 loss_bbox: 0.310714 loss_dfl: 0.196183 loss: 1.415198 eta: 3 days, 8:34:13 batch_cost: 2.2734 data_cost: 0.0012 ips: 24.6324 images/s [10/14 19:53:54] ppdet.engine INFO: Epoch: [59] [300/523] learning_rate: 0.362327 loss_vfl: 0.915852 loss_bbox: 0.309709 loss_dfl: 0.198649 loss: 1.424424 eta: 3 days, 8:33:25 batch_cost: 2.2802 data_cost: 0.0012 ips: 24.5590 images/s [10/14 19:54:43] ppdet.engine INFO: Epoch: [59] [320/523] learning_rate: 0.362280 loss_vfl: 0.923411 loss_bbox: 0.292812 loss_dfl: 0.193764 loss: 1.415303 eta: 3 days, 8:32:40 batch_cost: 2.3119 data_cost: 0.0013 ips: 24.2225 images/s [10/14 19:55:30] ppdet.engine INFO: Epoch: [59] [340/523] learning_rate: 0.362233 loss_vfl: 0.909145 loss_bbox: 0.306429 loss_dfl: 0.193023 loss: 1.409890 eta: 3 days, 8:31:50 batch_cost: 2.2614 data_cost: 0.0012 ips: 24.7634 images/s [10/14 19:56:19] ppdet.engine INFO: Epoch: [59] [360/523] learning_rate: 0.362186 loss_vfl: 0.895836 loss_bbox: 0.311291 loss_dfl: 0.197271 loss: 1.409370 eta: 3 days, 8:31:06 batch_cost: 2.3385 data_cost: 0.0013 ips: 23.9467 images/s [10/14 19:57:07] ppdet.engine INFO: Epoch: [59] [380/523] learning_rate: 0.362139 loss_vfl: 0.898064 loss_bbox: 0.311895 loss_dfl: 0.198037 loss: 1.414459 eta: 3 days, 8:30:20 batch_cost: 2.3089 data_cost: 0.0012 ips: 24.2542 images/s [10/14 19:57:56] ppdet.engine INFO: Epoch: [59] [400/523] learning_rate: 0.362092 loss_vfl: 0.915487 loss_bbox: 0.296202 loss_dfl: 0.194824 loss: 1.436269 eta: 3 days, 8:29:37 batch_cost: 2.3439 data_cost: 0.0012 ips: 23.8921 images/s [10/14 19:58:43] ppdet.engine INFO: Epoch: [59] [420/523] learning_rate: 0.362045 loss_vfl: 0.901823 loss_bbox: 0.307994 loss_dfl: 0.195485 loss: 1.426074 eta: 3 days, 8:28:46 batch_cost: 2.2400 data_cost: 0.0013 ips: 24.9995 images/s [10/14 19:59:33] ppdet.engine INFO: Epoch: [59] [440/523] learning_rate: 0.361999 loss_vfl: 0.884521 loss_bbox: 0.304840 loss_dfl: 0.189524 loss: 1.392705 eta: 3 days, 8:28:03 batch_cost: 2.3540 data_cost: 0.0012 ips: 23.7890 images/s [10/14 20:00:20] ppdet.engine INFO: Epoch: [59] [460/523] learning_rate: 0.361952 loss_vfl: 0.913468 loss_bbox: 0.316446 loss_dfl: 0.207720 loss: 1.437593 eta: 3 days, 8:27:15 batch_cost: 2.2757 data_cost: 0.0013 ips: 24.6077 images/s [10/14 20:01:08] ppdet.engine INFO: Epoch: [59] [480/523] learning_rate: 0.361905 loss_vfl: 0.910465 loss_bbox: 0.306825 loss_dfl: 0.193069 loss: 1.431226 eta: 3 days, 8:26:25 batch_cost: 2.2544 data_cost: 0.0012 ips: 24.8398 images/s [10/14 20:01:57] ppdet.engine INFO: Epoch: [59] [500/523] learning_rate: 0.361858 loss_vfl: 0.898945 loss_bbox: 0.302580 loss_dfl: 0.200598 loss: 1.425362 eta: 3 days, 8:25:42 batch_cost: 2.3551 data_cost: 0.0013 ips: 23.7778 images/s [10/14 20:02:40] ppdet.engine INFO: Epoch: [59] [520/523] learning_rate: 0.361810 loss_vfl: 0.925369 loss_bbox: 0.314551 loss_dfl: 0.203153 loss: 1.422482 eta: 3 days, 8:24:34 batch_cost: 2.0328 data_cost: 0.0012 ips: 27.5485 images/s [10/14 20:02:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 20:02:48] ppdet.engine INFO: Eval iter: 0 [10/14 20:03:25] ppdet.engine INFO: Eval iter: 100 [10/14 20:03:46] ppdet.engine INFO: Eval iter: 200 [10/14 20:04:07] ppdet.engine INFO: Eval iter: 300 [10/14 20:04:28] ppdet.engine INFO: Eval iter: 400 [10/14 20:04:48] ppdet.engine INFO: Eval iter: 500 [10/14 20:05:09] ppdet.engine INFO: Eval iter: 600 [10/14 20:05:30] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.74s) creating index... index created! [10/14 20:05:30] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.08s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.28s). Accumulating evaluation results... DONE (t=18.28s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.324 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.475 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.342 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.122 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.345 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.286 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 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 ] = 0.547 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.719 [10/14 20:07:36] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.80246447881607 [10/14 20:07:36] ppdet.engine INFO: Best test bbox ap is 0.324. [10/14 20:07:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 20:07:39] ppdet.engine INFO: Epoch: [60] [ 0/523] learning_rate: 0.361803 loss_vfl: 0.923588 loss_bbox: 0.310884 loss_dfl: 0.201282 loss: 1.419734 eta: 3 days, 8:24:23 batch_cost: 1.9951 data_cost: 0.0013 ips: 28.0689 images/s [10/14 20:08:26] ppdet.engine INFO: Epoch: [60] [ 20/523] learning_rate: 0.361756 loss_vfl: 0.894039 loss_bbox: 0.339896 loss_dfl: 0.208577 loss: 1.439899 eta: 3 days, 8:23:36 batch_cost: 2.2909 data_cost: 0.0014 ips: 24.4446 images/s [10/14 20:09:15] ppdet.engine INFO: Epoch: [60] [ 40/523] learning_rate: 0.361709 loss_vfl: 0.902539 loss_bbox: 0.315403 loss_dfl: 0.198779 loss: 1.425939 eta: 3 days, 8:22:49 batch_cost: 2.3067 data_cost: 0.0012 ips: 24.2775 images/s [10/14 20:10:03] ppdet.engine INFO: Epoch: [60] [ 60/523] learning_rate: 0.361662 loss_vfl: 0.893068 loss_bbox: 0.307525 loss_dfl: 0.196749 loss: 1.392002 eta: 3 days, 8:22:03 batch_cost: 2.3074 data_cost: 0.0012 ips: 24.2693 images/s [10/14 20:10:50] ppdet.engine INFO: Epoch: [60] [ 80/523] learning_rate: 0.361615 loss_vfl: 0.909765 loss_bbox: 0.311223 loss_dfl: 0.192745 loss: 1.408492 eta: 3 days, 8:21:11 batch_cost: 2.2249 data_cost: 0.0012 ips: 25.1700 images/s [10/14 20:11:37] ppdet.engine INFO: Epoch: [60] [100/523] learning_rate: 0.361568 loss_vfl: 0.904224 loss_bbox: 0.284185 loss_dfl: 0.191224 loss: 1.411724 eta: 3 days, 8:20:23 batch_cost: 2.2807 data_cost: 0.0012 ips: 24.5542 images/s [10/14 20:12:25] ppdet.engine INFO: Epoch: [60] [120/523] learning_rate: 0.361520 loss_vfl: 0.908205 loss_bbox: 0.303093 loss_dfl: 0.190678 loss: 1.419528 eta: 3 days, 8:19:36 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3588 images/s [10/14 20:13:13] ppdet.engine INFO: Epoch: [60] [140/523] learning_rate: 0.361473 loss_vfl: 0.911743 loss_bbox: 0.312714 loss_dfl: 0.197530 loss: 1.434018 eta: 3 days, 8:18:45 batch_cost: 2.2412 data_cost: 0.0012 ips: 24.9861 images/s [10/14 20:14:00] ppdet.engine INFO: Epoch: [60] [160/523] learning_rate: 0.361426 loss_vfl: 0.896196 loss_bbox: 0.327480 loss_dfl: 0.204352 loss: 1.422343 eta: 3 days, 8:17:56 batch_cost: 2.2752 data_cost: 0.0012 ips: 24.6133 images/s [10/14 20:14:48] ppdet.engine INFO: Epoch: [60] [180/523] learning_rate: 0.361379 loss_vfl: 0.910318 loss_bbox: 0.306997 loss_dfl: 0.199083 loss: 1.436139 eta: 3 days, 8:17:09 batch_cost: 2.2909 data_cost: 0.0012 ips: 24.4442 images/s [10/14 20:15:36] ppdet.engine INFO: Epoch: [60] [200/523] learning_rate: 0.361331 loss_vfl: 0.902745 loss_bbox: 0.317206 loss_dfl: 0.204213 loss: 1.452639 eta: 3 days, 8:16:21 batch_cost: 2.2850 data_cost: 0.0012 ips: 24.5082 images/s [10/14 20:16:25] ppdet.engine INFO: Epoch: [60] [220/523] learning_rate: 0.361284 loss_vfl: 0.893597 loss_bbox: 0.308574 loss_dfl: 0.193749 loss: 1.407728 eta: 3 days, 8:15:36 batch_cost: 2.3243 data_cost: 0.0013 ips: 24.0936 images/s [10/14 20:17:12] ppdet.engine INFO: Epoch: [60] [240/523] learning_rate: 0.361237 loss_vfl: 0.904279 loss_bbox: 0.320779 loss_dfl: 0.200561 loss: 1.418325 eta: 3 days, 8:14:46 batch_cost: 2.2453 data_cost: 0.0012 ips: 24.9407 images/s [10/14 20:17:58] ppdet.engine INFO: Epoch: [60] [260/523] learning_rate: 0.361189 loss_vfl: 0.895649 loss_bbox: 0.312916 loss_dfl: 0.197738 loss: 1.404546 eta: 3 days, 8:13:54 batch_cost: 2.2383 data_cost: 0.0013 ips: 25.0188 images/s [10/14 20:18:47] ppdet.engine INFO: Epoch: [60] [280/523] learning_rate: 0.361142 loss_vfl: 0.907639 loss_bbox: 0.313612 loss_dfl: 0.195034 loss: 1.424118 eta: 3 days, 8:13:09 batch_cost: 2.3187 data_cost: 0.0012 ips: 24.1516 images/s [10/14 20:19:35] ppdet.engine INFO: Epoch: [60] [300/523] learning_rate: 0.361094 loss_vfl: 0.918334 loss_bbox: 0.296019 loss_dfl: 0.193449 loss: 1.402440 eta: 3 days, 8:12:18 batch_cost: 2.2509 data_cost: 0.0012 ips: 24.8784 images/s [10/14 20:20:23] ppdet.engine INFO: Epoch: [60] [320/523] learning_rate: 0.361047 loss_vfl: 0.902175 loss_bbox: 0.296748 loss_dfl: 0.189647 loss: 1.392119 eta: 3 days, 8:11:31 batch_cost: 2.2928 data_cost: 0.0012 ips: 24.4238 images/s [10/14 20:21:10] ppdet.engine INFO: Epoch: [60] [340/523] learning_rate: 0.360999 loss_vfl: 0.899228 loss_bbox: 0.296625 loss_dfl: 0.197272 loss: 1.389169 eta: 3 days, 8:10:41 batch_cost: 2.2557 data_cost: 0.0012 ips: 24.8264 images/s [10/14 20:21:59] ppdet.engine INFO: Epoch: [60] [360/523] learning_rate: 0.360952 loss_vfl: 0.908573 loss_bbox: 0.311967 loss_dfl: 0.196068 loss: 1.427315 eta: 3 days, 8:09:56 batch_cost: 2.3115 data_cost: 0.0012 ips: 24.2262 images/s [10/14 20:22:47] ppdet.engine INFO: Epoch: [60] [380/523] learning_rate: 0.360904 loss_vfl: 0.880771 loss_bbox: 0.333353 loss_dfl: 0.207394 loss: 1.424093 eta: 3 days, 8:09:09 batch_cost: 2.2963 data_cost: 0.0012 ips: 24.3870 images/s [10/14 20:23:34] ppdet.engine INFO: Epoch: [60] [400/523] learning_rate: 0.360857 loss_vfl: 0.902075 loss_bbox: 0.294730 loss_dfl: 0.193190 loss: 1.393733 eta: 3 days, 8:08:19 batch_cost: 2.2592 data_cost: 0.0012 ips: 24.7874 images/s [10/14 20:24:22] ppdet.engine INFO: Epoch: [60] [420/523] learning_rate: 0.360809 loss_vfl: 0.919167 loss_bbox: 0.302638 loss_dfl: 0.192309 loss: 1.410799 eta: 3 days, 8:07:30 batch_cost: 2.2659 data_cost: 0.0013 ips: 24.7146 images/s [10/14 20:25:09] ppdet.engine INFO: Epoch: [60] [440/523] learning_rate: 0.360761 loss_vfl: 0.919451 loss_bbox: 0.296285 loss_dfl: 0.197017 loss: 1.412910 eta: 3 days, 8:06:37 batch_cost: 2.2274 data_cost: 0.0014 ips: 25.1410 images/s [10/14 20:25:58] ppdet.engine INFO: Epoch: [60] [460/523] learning_rate: 0.360714 loss_vfl: 0.922313 loss_bbox: 0.306720 loss_dfl: 0.192656 loss: 1.433249 eta: 3 days, 8:05:54 batch_cost: 2.3418 data_cost: 0.0028 ips: 23.9136 images/s [10/14 20:26:49] ppdet.engine INFO: Epoch: [60] [480/523] learning_rate: 0.360666 loss_vfl: 0.921679 loss_bbox: 0.308920 loss_dfl: 0.183797 loss: 1.423233 eta: 3 days, 8:05:16 batch_cost: 2.4106 data_cost: 0.0012 ips: 23.2307 images/s [10/14 20:27:37] ppdet.engine INFO: Epoch: [60] [500/523] learning_rate: 0.360618 loss_vfl: 0.889005 loss_bbox: 0.315807 loss_dfl: 0.196151 loss: 1.412510 eta: 3 days, 8:04:29 batch_cost: 2.2910 data_cost: 0.0013 ips: 24.4436 images/s [10/14 20:28:19] ppdet.engine INFO: Epoch: [60] [520/523] learning_rate: 0.360571 loss_vfl: 0.898271 loss_bbox: 0.312800 loss_dfl: 0.194911 loss: 1.412120 eta: 3 days, 8:03:20 batch_cost: 2.0121 data_cost: 0.0014 ips: 27.8315 images/s [10/14 20:28:47] ppdet.engine INFO: Epoch: [61] [ 0/523] learning_rate: 0.360563 loss_vfl: 0.896614 loss_bbox: 0.312800 loss_dfl: 0.194911 loss: 1.421619 eta: 3 days, 8:04:22 batch_cost: 2.9076 data_cost: 0.5870 ips: 19.2597 images/s [10/14 20:29:37] ppdet.engine INFO: Epoch: [61] [ 20/523] learning_rate: 0.360516 loss_vfl: 0.899193 loss_bbox: 0.306662 loss_dfl: 0.199715 loss: 1.416756 eta: 3 days, 8:03:40 batch_cost: 2.3644 data_cost: 0.0015 ips: 23.6846 images/s [10/14 20:30:25] ppdet.engine INFO: Epoch: [61] [ 40/523] learning_rate: 0.360468 loss_vfl: 0.896653 loss_bbox: 0.326094 loss_dfl: 0.196967 loss: 1.422382 eta: 3 days, 8:02:54 batch_cost: 2.3042 data_cost: 0.0012 ips: 24.3036 images/s [10/14 20:31:12] ppdet.engine INFO: Epoch: [61] [ 60/523] learning_rate: 0.360420 loss_vfl: 0.890859 loss_bbox: 0.319826 loss_dfl: 0.200650 loss: 1.405880 eta: 3 days, 8:02:05 batch_cost: 2.2677 data_cost: 0.0013 ips: 24.6947 images/s [10/14 20:32:00] ppdet.engine INFO: Epoch: [61] [ 80/523] learning_rate: 0.360372 loss_vfl: 0.892873 loss_bbox: 0.305907 loss_dfl: 0.191574 loss: 1.398977 eta: 3 days, 8:01:16 batch_cost: 2.2734 data_cost: 0.0013 ips: 24.6323 images/s [10/14 20:32:48] ppdet.engine INFO: Epoch: [61] [100/523] learning_rate: 0.360324 loss_vfl: 0.895705 loss_bbox: 0.297533 loss_dfl: 0.192561 loss: 1.389515 eta: 3 days, 8:00:28 batch_cost: 2.2770 data_cost: 0.0012 ips: 24.5941 images/s [10/14 20:33:35] ppdet.engine INFO: Epoch: [61] [120/523] learning_rate: 0.360277 loss_vfl: 0.915223 loss_bbox: 0.302146 loss_dfl: 0.189988 loss: 1.411470 eta: 3 days, 7:59:38 batch_cost: 2.2576 data_cost: 0.0013 ips: 24.8053 images/s [10/14 20:34:22] ppdet.engine INFO: Epoch: [61] [140/523] learning_rate: 0.360229 loss_vfl: 0.925597 loss_bbox: 0.303423 loss_dfl: 0.197176 loss: 1.415151 eta: 3 days, 7:58:48 batch_cost: 2.2645 data_cost: 0.0012 ips: 24.7297 images/s [10/14 20:35:09] ppdet.engine INFO: Epoch: [61] [160/523] learning_rate: 0.360181 loss_vfl: 0.883005 loss_bbox: 0.303131 loss_dfl: 0.190818 loss: 1.399619 eta: 3 days, 7:57:58 batch_cost: 2.2522 data_cost: 0.0034 ips: 24.8642 images/s [10/14 20:35:57] ppdet.engine INFO: Epoch: [61] [180/523] learning_rate: 0.360133 loss_vfl: 0.900798 loss_bbox: 0.301360 loss_dfl: 0.194594 loss: 1.386972 eta: 3 days, 7:57:08 batch_cost: 2.2626 data_cost: 0.0013 ips: 24.7498 images/s [10/14 20:36:45] ppdet.engine INFO: Epoch: [61] [200/523] learning_rate: 0.360085 loss_vfl: 0.898197 loss_bbox: 0.313146 loss_dfl: 0.198291 loss: 1.401519 eta: 3 days, 7:56:21 batch_cost: 2.2876 data_cost: 0.0014 ips: 24.4797 images/s [10/14 20:37:34] ppdet.engine INFO: Epoch: [61] [220/523] learning_rate: 0.360037 loss_vfl: 0.910084 loss_bbox: 0.331719 loss_dfl: 0.201925 loss: 1.445943 eta: 3 days, 7:55:36 batch_cost: 2.3222 data_cost: 0.0012 ips: 24.1147 images/s [10/14 20:38:21] ppdet.engine INFO: Epoch: [61] [240/523] learning_rate: 0.359989 loss_vfl: 0.916051 loss_bbox: 0.311831 loss_dfl: 0.202992 loss: 1.433316 eta: 3 days, 7:54:47 batch_cost: 2.2701 data_cost: 0.0012 ips: 24.6689 images/s [10/14 20:39:09] ppdet.engine INFO: Epoch: [61] [260/523] learning_rate: 0.359941 loss_vfl: 0.888967 loss_bbox: 0.313170 loss_dfl: 0.201583 loss: 1.412151 eta: 3 days, 7:54:00 batch_cost: 2.2915 data_cost: 0.0012 ips: 24.4384 images/s [10/14 20:39:57] ppdet.engine INFO: Epoch: [61] [280/523] learning_rate: 0.359892 loss_vfl: 0.917339 loss_bbox: 0.300893 loss_dfl: 0.188183 loss: 1.402638 eta: 3 days, 7:53:11 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7151 images/s [10/14 20:40:44] ppdet.engine INFO: Epoch: [61] [300/523] learning_rate: 0.359844 loss_vfl: 0.906660 loss_bbox: 0.324899 loss_dfl: 0.199233 loss: 1.425201 eta: 3 days, 7:52:22 batch_cost: 2.2762 data_cost: 0.0013 ips: 24.6026 images/s [10/14 20:41:31] ppdet.engine INFO: Epoch: [61] [320/523] learning_rate: 0.359796 loss_vfl: 0.885370 loss_bbox: 0.315637 loss_dfl: 0.202541 loss: 1.404430 eta: 3 days, 7:51:28 batch_cost: 2.2073 data_cost: 0.0013 ips: 25.3699 images/s [10/14 20:42:17] ppdet.engine INFO: Epoch: [61] [340/523] learning_rate: 0.359748 loss_vfl: 0.899379 loss_bbox: 0.320651 loss_dfl: 0.205847 loss: 1.445466 eta: 3 days, 7:50:34 batch_cost: 2.1930 data_cost: 0.0013 ips: 25.5354 images/s [10/14 20:43:04] ppdet.engine INFO: Epoch: [61] [360/523] learning_rate: 0.359700 loss_vfl: 0.915277 loss_bbox: 0.302027 loss_dfl: 0.194070 loss: 1.397822 eta: 3 days, 7:49:41 batch_cost: 2.2210 data_cost: 0.0012 ips: 25.2144 images/s [10/14 20:43:53] ppdet.engine INFO: Epoch: [61] 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loss_bbox: 0.317270 loss_dfl: 0.195281 loss: 1.410117 eta: 3 days, 7:45:45 batch_cost: 2.2336 data_cost: 0.0012 ips: 25.0714 images/s [10/14 20:47:51] ppdet.engine INFO: Epoch: [61] [480/523] learning_rate: 0.359410 loss_vfl: 0.900376 loss_bbox: 0.310457 loss_dfl: 0.199900 loss: 1.398004 eta: 3 days, 7:44:54 batch_cost: 2.2365 data_cost: 0.0012 ips: 25.0392 images/s [10/14 20:48:39] ppdet.engine INFO: Epoch: [61] [500/523] learning_rate: 0.359362 loss_vfl: 0.920815 loss_bbox: 0.310336 loss_dfl: 0.195152 loss: 1.416126 eta: 3 days, 7:44:06 batch_cost: 2.2793 data_cost: 0.0012 ips: 24.5687 images/s [10/14 20:49:21] ppdet.engine INFO: Epoch: [61] [520/523] learning_rate: 0.359313 loss_vfl: 0.916185 loss_bbox: 0.308008 loss_dfl: 0.195320 loss: 1.422991 eta: 3 days, 7:42:56 batch_cost: 1.9976 data_cost: 0.0012 ips: 28.0337 images/s [10/14 20:49:50] ppdet.engine INFO: Epoch: [62] [ 0/523] learning_rate: 0.359306 loss_vfl: 0.919030 loss_bbox: 0.309260 loss_dfl: 0.194992 loss: 1.423684 eta: 3 days, 7:44:04 batch_cost: 2.9871 data_cost: 0.7761 ips: 18.7473 images/s [10/14 20:50:39] ppdet.engine INFO: Epoch: [62] [ 20/523] learning_rate: 0.359258 loss_vfl: 0.910207 loss_bbox: 0.325712 loss_dfl: 0.203628 loss: 1.444042 eta: 3 days, 7:43:16 batch_cost: 2.2800 data_cost: 0.0014 ips: 24.5609 images/s [10/14 20:51:28] ppdet.engine INFO: Epoch: [62] [ 40/523] learning_rate: 0.359209 loss_vfl: 0.900122 loss_bbox: 0.311519 loss_dfl: 0.197995 loss: 1.393675 eta: 3 days, 7:42:33 batch_cost: 2.3508 data_cost: 0.0014 ips: 23.8222 images/s [10/14 20:52:16] ppdet.engine INFO: Epoch: [62] [ 60/523] learning_rate: 0.359161 loss_vfl: 0.896486 loss_bbox: 0.293795 loss_dfl: 0.186459 loss: 1.393604 eta: 3 days, 7:41:44 batch_cost: 2.2675 data_cost: 0.0012 ips: 24.6972 images/s [10/14 20:53:03] ppdet.engine INFO: Epoch: [62] [ 80/523] learning_rate: 0.359112 loss_vfl: 0.907650 loss_bbox: 0.320198 loss_dfl: 0.194374 loss: 1.399648 eta: 3 days, 7:40:54 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8562 images/s [10/14 20:53:51] ppdet.engine INFO: Epoch: [62] [100/523] learning_rate: 0.359064 loss_vfl: 0.908170 loss_bbox: 0.311204 loss_dfl: 0.201352 loss: 1.411952 eta: 3 days, 7:40:05 batch_cost: 2.2687 data_cost: 0.0012 ips: 24.6840 images/s [10/14 20:54:38] ppdet.engine INFO: Epoch: [62] [120/523] learning_rate: 0.359015 loss_vfl: 0.891916 loss_bbox: 0.317120 loss_dfl: 0.199424 loss: 1.417490 eta: 3 days, 7:39:15 batch_cost: 2.2530 data_cost: 0.0013 ips: 24.8552 images/s [10/14 20:55:24] ppdet.engine INFO: Epoch: [62] [140/523] learning_rate: 0.358966 loss_vfl: 0.925168 loss_bbox: 0.285762 loss_dfl: 0.181701 loss: 1.388825 eta: 3 days, 7:38:18 batch_cost: 2.1675 data_cost: 0.0012 ips: 25.8362 images/s [10/14 20:56:11] ppdet.engine INFO: Epoch: [62] [160/523] learning_rate: 0.358918 loss_vfl: 0.905227 loss_bbox: 0.303930 loss_dfl: 0.191383 loss: 1.388100 eta: 3 days, 7:37:24 batch_cost: 2.2085 data_cost: 0.0012 ips: 25.3566 images/s [10/14 20:56:58] ppdet.engine INFO: Epoch: [62] [180/523] learning_rate: 0.358869 loss_vfl: 0.887944 loss_bbox: 0.324224 loss_dfl: 0.197791 loss: 1.410068 eta: 3 days, 7:36:35 batch_cost: 2.2615 data_cost: 0.0013 ips: 24.7625 images/s [10/14 20:57:45] ppdet.engine INFO: Epoch: [62] [200/523] learning_rate: 0.358820 loss_vfl: 0.922097 loss_bbox: 0.315317 loss_dfl: 0.198418 loss: 1.428268 eta: 3 days, 7:35:42 batch_cost: 2.2175 data_cost: 0.0013 ips: 25.2540 images/s [10/14 20:58:32] ppdet.engine INFO: Epoch: [62] [220/523] learning_rate: 0.358772 loss_vfl: 0.903953 loss_bbox: 0.322029 loss_dfl: 0.196696 loss: 1.430779 eta: 3 days, 7:34:52 batch_cost: 2.2486 data_cost: 0.0012 ips: 24.9043 images/s [10/14 20:59:19] ppdet.engine INFO: Epoch: [62] [240/523] learning_rate: 0.358723 loss_vfl: 0.903298 loss_bbox: 0.320358 loss_dfl: 0.199319 loss: 1.433464 eta: 3 days, 7:34:00 batch_cost: 2.2304 data_cost: 0.0012 ips: 25.1071 images/s [10/14 21:00:07] ppdet.engine INFO: Epoch: [62] [260/523] learning_rate: 0.358674 loss_vfl: 0.913273 loss_bbox: 0.321162 loss_dfl: 0.197667 loss: 1.427079 eta: 3 days, 7:33:12 batch_cost: 2.2910 data_cost: 0.0013 ips: 24.4434 images/s [10/14 21:00:57] ppdet.engine INFO: Epoch: [62] [280/523] learning_rate: 0.358626 loss_vfl: 0.888654 loss_bbox: 0.286123 loss_dfl: 0.190269 loss: 1.384373 eta: 3 days, 7:32:31 batch_cost: 2.3707 data_cost: 0.0023 ips: 23.6222 images/s [10/14 21:01:46] ppdet.engine INFO: Epoch: [62] [300/523] learning_rate: 0.358577 loss_vfl: 0.899985 loss_bbox: 0.310339 loss_dfl: 0.197000 loss: 1.406742 eta: 3 days, 7:31:43 batch_cost: 2.2801 data_cost: 0.0013 ips: 24.5603 images/s [10/14 21:02:33] ppdet.engine INFO: Epoch: [62] [320/523] learning_rate: 0.358528 loss_vfl: 0.921511 loss_bbox: 0.311958 loss_dfl: 0.197308 loss: 1.439762 eta: 3 days, 7:30:54 batch_cost: 2.2708 data_cost: 0.0012 ips: 24.6614 images/s [10/14 21:03:21] ppdet.engine INFO: Epoch: [62] [340/523] learning_rate: 0.358479 loss_vfl: 0.896572 loss_bbox: 0.312991 loss_dfl: 0.195286 loss: 1.423121 eta: 3 days, 7:30:04 batch_cost: 2.2536 data_cost: 0.0012 ips: 24.8494 images/s [10/14 21:04:09] ppdet.engine INFO: Epoch: [62] [360/523] learning_rate: 0.358430 loss_vfl: 0.890861 loss_bbox: 0.299440 loss_dfl: 0.193615 loss: 1.398694 eta: 3 days, 7:29:14 batch_cost: 2.2541 data_cost: 0.0013 ips: 24.8438 images/s [10/14 21:04:57] ppdet.engine INFO: Epoch: [62] [380/523] learning_rate: 0.358381 loss_vfl: 0.906959 loss_bbox: 0.307638 loss_dfl: 0.197057 loss: 1.412076 eta: 3 days, 7:28:27 batch_cost: 2.2945 data_cost: 0.0012 ips: 24.4062 images/s [10/14 21:05:44] ppdet.engine INFO: Epoch: [62] [400/523] learning_rate: 0.358332 loss_vfl: 0.907583 loss_bbox: 0.300396 loss_dfl: 0.197540 loss: 1.417496 eta: 3 days, 7:27:37 batch_cost: 2.2444 data_cost: 0.0012 ips: 24.9507 images/s [10/14 21:06:31] ppdet.engine INFO: Epoch: [62] [420/523] learning_rate: 0.358283 loss_vfl: 0.904926 loss_bbox: 0.312589 loss_dfl: 0.194196 loss: 1.402251 eta: 3 days, 7:26:47 batch_cost: 2.2524 data_cost: 0.0012 ips: 24.8620 images/s [10/14 21:07:18] ppdet.engine INFO: Epoch: [62] [440/523] learning_rate: 0.358235 loss_vfl: 0.896368 loss_bbox: 0.309180 loss_dfl: 0.198288 loss: 1.389456 eta: 3 days, 7:25:57 batch_cost: 2.2574 data_cost: 0.0013 ips: 24.8073 images/s [10/14 21:08:06] ppdet.engine INFO: Epoch: [62] [460/523] learning_rate: 0.358186 loss_vfl: 0.907620 loss_bbox: 0.333634 loss_dfl: 0.202844 loss: 1.446038 eta: 3 days, 7:25:09 batch_cost: 2.2886 data_cost: 0.0012 ips: 24.4688 images/s [10/14 21:08:52] ppdet.engine INFO: Epoch: [62] [480/523] learning_rate: 0.358136 loss_vfl: 0.892488 loss_bbox: 0.321560 loss_dfl: 0.208872 loss: 1.424389 eta: 3 days, 7:24:15 batch_cost: 2.1950 data_cost: 0.0012 ips: 25.5131 images/s [10/14 21:09:39] ppdet.engine INFO: Epoch: [62] [500/523] learning_rate: 0.358087 loss_vfl: 0.915265 loss_bbox: 0.317863 loss_dfl: 0.197416 loss: 1.417920 eta: 3 days, 7:23:24 batch_cost: 2.2449 data_cost: 0.0013 ips: 24.9454 images/s [10/14 21:10:22] ppdet.engine INFO: Epoch: [62] [520/523] learning_rate: 0.358038 loss_vfl: 0.908411 loss_bbox: 0.286536 loss_dfl: 0.185012 loss: 1.386009 eta: 3 days, 7:22:18 batch_cost: 2.0326 data_cost: 0.0012 ips: 27.5503 images/s [10/14 21:10:50] ppdet.engine INFO: Epoch: [63] [ 0/523] learning_rate: 0.358031 loss_vfl: 0.912154 loss_bbox: 0.284643 loss_dfl: 0.182640 loss: 1.386009 eta: 3 days, 7:23:17 batch_cost: 2.8917 data_cost: 0.4026 ips: 19.3660 images/s [10/14 21:11:41] ppdet.engine INFO: Epoch: [63] [ 20/523] learning_rate: 0.357982 loss_vfl: 0.892565 loss_bbox: 0.318310 loss_dfl: 0.199186 loss: 1.402369 eta: 3 days, 7:22:34 batch_cost: 2.3577 data_cost: 0.0013 ips: 23.7516 images/s [10/14 21:12:28] ppdet.engine INFO: Epoch: [63] [ 40/523] learning_rate: 0.357933 loss_vfl: 0.899032 loss_bbox: 0.311383 loss_dfl: 0.199513 loss: 1.400821 eta: 3 days, 7:21:42 batch_cost: 2.2269 data_cost: 0.0020 ips: 25.1472 images/s [10/14 21:13:16] ppdet.engine INFO: Epoch: [63] [ 60/523] learning_rate: 0.357884 loss_vfl: 0.892516 loss_bbox: 0.310508 loss_dfl: 0.196242 loss: 1.398224 eta: 3 days, 7:20:55 batch_cost: 2.2865 data_cost: 0.0012 ips: 24.4921 images/s [10/14 21:14:04] ppdet.engine INFO: Epoch: [63] [ 80/523] learning_rate: 0.357834 loss_vfl: 0.893969 loss_bbox: 0.311577 loss_dfl: 0.196382 loss: 1.409701 eta: 3 days, 7:20:08 batch_cost: 2.3026 data_cost: 0.0013 ips: 24.3207 images/s [10/14 21:14:53] ppdet.engine INFO: Epoch: [63] [100/523] learning_rate: 0.357785 loss_vfl: 0.910873 loss_bbox: 0.329597 loss_dfl: 0.206275 loss: 1.441347 eta: 3 days, 7:19:19 batch_cost: 2.2685 data_cost: 0.0012 ips: 24.6859 images/s [10/14 21:15:40] ppdet.engine INFO: Epoch: [63] [120/523] learning_rate: 0.357736 loss_vfl: 0.882062 loss_bbox: 0.321768 loss_dfl: 0.199054 loss: 1.411874 eta: 3 days, 7:18:32 batch_cost: 2.2870 data_cost: 0.0015 ips: 24.4861 images/s [10/14 21:16:29] ppdet.engine INFO: Epoch: [63] [140/523] learning_rate: 0.357687 loss_vfl: 0.892496 loss_bbox: 0.308522 loss_dfl: 0.205051 loss: 1.420024 eta: 3 days, 7:17:46 batch_cost: 2.3032 data_cost: 0.0013 ips: 24.3137 images/s [10/14 21:17:17] ppdet.engine INFO: Epoch: [63] [160/523] learning_rate: 0.357637 loss_vfl: 0.899786 loss_bbox: 0.312528 loss_dfl: 0.200709 loss: 1.423628 eta: 3 days, 7:17:01 batch_cost: 2.3195 data_cost: 0.0014 ips: 24.1433 images/s [10/14 21:18:05] ppdet.engine INFO: Epoch: [63] [180/523] learning_rate: 0.357588 loss_vfl: 0.889865 loss_bbox: 0.300804 loss_dfl: 0.195545 loss: 1.390718 eta: 3 days, 7:16:13 batch_cost: 2.2818 data_cost: 0.0013 ips: 24.5422 images/s [10/14 21:18:54] ppdet.engine INFO: Epoch: [63] [200/523] learning_rate: 0.357539 loss_vfl: 0.887012 loss_bbox: 0.333105 loss_dfl: 0.205866 loss: 1.427576 eta: 3 days, 7:15:29 batch_cost: 2.3336 data_cost: 0.0012 ips: 23.9977 images/s [10/14 21:19:42] ppdet.engine INFO: Epoch: [63] [220/523] learning_rate: 0.357489 loss_vfl: 0.882270 loss_bbox: 0.307106 loss_dfl: 0.193990 loss: 1.386515 eta: 3 days, 7:14:42 batch_cost: 2.2980 data_cost: 0.0012 ips: 24.3688 images/s [10/14 21:20:29] ppdet.engine INFO: Epoch: [63] [240/523] learning_rate: 0.357440 loss_vfl: 0.916041 loss_bbox: 0.301311 loss_dfl: 0.196392 loss: 1.415921 eta: 3 days, 7:13:52 batch_cost: 2.2514 data_cost: 0.0017 ips: 24.8731 images/s [10/14 21:21:17] ppdet.engine INFO: Epoch: [63] [260/523] learning_rate: 0.357391 loss_vfl: 0.915861 loss_bbox: 0.323109 loss_dfl: 0.207527 loss: 1.430187 eta: 3 days, 7:13:03 batch_cost: 2.2648 data_cost: 0.0021 ips: 24.7261 images/s [10/14 21:22:05] ppdet.engine INFO: Epoch: [63] [280/523] learning_rate: 0.357341 loss_vfl: 0.900295 loss_bbox: 0.285814 loss_dfl: 0.196968 loss: 1.398864 eta: 3 days, 7:12:13 batch_cost: 2.2586 data_cost: 0.0013 ips: 24.7942 images/s [10/14 21:22:53] ppdet.engine INFO: Epoch: [63] [300/523] learning_rate: 0.357292 loss_vfl: 0.911512 loss_bbox: 0.314128 loss_dfl: 0.192083 loss: 1.422331 eta: 3 days, 7:11:26 batch_cost: 2.2974 data_cost: 0.0024 ips: 24.3757 images/s [10/14 21:23:41] ppdet.engine INFO: Epoch: [63] [320/523] learning_rate: 0.357242 loss_vfl: 0.910202 loss_bbox: 0.316930 loss_dfl: 0.199076 loss: 1.428238 eta: 3 days, 7:10:41 batch_cost: 2.3225 data_cost: 0.0018 ips: 24.1117 images/s [10/14 21:24:30] ppdet.engine INFO: Epoch: [63] [340/523] learning_rate: 0.357193 loss_vfl: 0.910396 loss_bbox: 0.286813 loss_dfl: 0.182355 loss: 1.400997 eta: 3 days, 7:09:54 batch_cost: 2.2929 data_cost: 0.0012 ips: 24.4233 images/s [10/14 21:25:19] ppdet.engine INFO: Epoch: [63] [360/523] learning_rate: 0.357143 loss_vfl: 0.900035 loss_bbox: 0.298785 loss_dfl: 0.194353 loss: 1.398187 eta: 3 days, 7:09:10 batch_cost: 2.3336 data_cost: 0.0021 ips: 23.9975 images/s [10/14 21:26:07] ppdet.engine INFO: Epoch: [63] [380/523] learning_rate: 0.357094 loss_vfl: 0.910533 loss_bbox: 0.321873 loss_dfl: 0.200042 loss: 1.437623 eta: 3 days, 7:08:25 batch_cost: 2.3110 data_cost: 0.0013 ips: 24.2322 images/s [10/14 21:26:55] ppdet.engine INFO: Epoch: [63] [400/523] learning_rate: 0.357044 loss_vfl: 0.928768 loss_bbox: 0.315810 loss_dfl: 0.200961 loss: 1.458144 eta: 3 days, 7:07:36 batch_cost: 2.2702 data_cost: 0.0013 ips: 24.6676 images/s [10/14 21:27:42] ppdet.engine INFO: Epoch: [63] [420/523] learning_rate: 0.356995 loss_vfl: 0.886155 loss_bbox: 0.314049 loss_dfl: 0.201932 loss: 1.393939 eta: 3 days, 7:06:46 batch_cost: 2.2580 data_cost: 0.0012 ips: 24.8008 images/s [10/14 21:28:29] ppdet.engine INFO: Epoch: [63] [440/523] learning_rate: 0.356945 loss_vfl: 0.898633 loss_bbox: 0.295747 loss_dfl: 0.191831 loss: 1.396370 eta: 3 days, 7:05:53 batch_cost: 2.2088 data_cost: 0.0013 ips: 25.3526 images/s [10/14 21:29:18] ppdet.engine INFO: Epoch: [63] [460/523] learning_rate: 0.356895 loss_vfl: 0.937863 loss_bbox: 0.311118 loss_dfl: 0.207915 loss: 1.436823 eta: 3 days, 7:05:09 batch_cost: 2.3339 data_cost: 0.0012 ips: 23.9944 images/s [10/14 21:30:07] ppdet.engine INFO: Epoch: [63] [480/523] learning_rate: 0.356846 loss_vfl: 0.929165 loss_bbox: 0.314109 loss_dfl: 0.201528 loss: 1.445571 eta: 3 days, 7:04:27 batch_cost: 2.3555 data_cost: 0.0012 ips: 23.7739 images/s [10/14 21:30:57] ppdet.engine INFO: Epoch: [63] [500/523] learning_rate: 0.356796 loss_vfl: 0.917819 loss_bbox: 0.297280 loss_dfl: 0.191638 loss: 1.438287 eta: 3 days, 7:03:44 batch_cost: 2.3578 data_cost: 0.0013 ips: 23.7505 images/s [10/14 21:31:40] ppdet.engine INFO: Epoch: [63] [520/523] learning_rate: 0.356746 loss_vfl: 0.938178 loss_bbox: 0.298128 loss_dfl: 0.190260 loss: 1.424645 eta: 3 days, 7:02:41 batch_cost: 2.0676 data_cost: 0.0012 ips: 27.0851 images/s [10/14 21:32:09] ppdet.engine INFO: Epoch: [64] [ 0/523] learning_rate: 0.356739 loss_vfl: 0.927144 loss_bbox: 0.293012 loss_dfl: 0.187172 loss: 1.416380 eta: 3 days, 7:03:41 batch_cost: 2.9709 data_cost: 0.6711 ips: 18.8495 images/s [10/14 21:32:59] ppdet.engine INFO: Epoch: [64] [ 20/523] learning_rate: 0.356689 loss_vfl: 0.883899 loss_bbox: 0.306745 loss_dfl: 0.195761 loss: 1.393954 eta: 3 days, 7:03:01 batch_cost: 2.3939 data_cost: 0.0013 ips: 23.3925 images/s [10/14 21:33:47] ppdet.engine INFO: Epoch: [64] [ 40/523] learning_rate: 0.356639 loss_vfl: 0.896521 loss_bbox: 0.326105 loss_dfl: 0.203122 loss: 1.424935 eta: 3 days, 7:02:15 batch_cost: 2.3085 data_cost: 0.0012 ips: 24.2587 images/s [10/14 21:34:35] ppdet.engine INFO: Epoch: [64] [ 60/523] learning_rate: 0.356589 loss_vfl: 0.907190 loss_bbox: 0.301251 loss_dfl: 0.199721 loss: 1.408140 eta: 3 days, 7:01:29 batch_cost: 2.3082 data_cost: 0.0017 ips: 24.2613 images/s [10/14 21:35:26] ppdet.engine INFO: Epoch: [64] [ 80/523] learning_rate: 0.356539 loss_vfl: 0.904744 loss_bbox: 0.315539 loss_dfl: 0.199116 loss: 1.416341 eta: 3 days, 7:00:49 batch_cost: 2.3906 data_cost: 0.0015 ips: 23.4254 images/s [10/14 21:36:14] ppdet.engine INFO: Epoch: [64] [100/523] learning_rate: 0.356490 loss_vfl: 0.910573 loss_bbox: 0.292294 loss_dfl: 0.186105 loss: 1.392309 eta: 3 days, 7:00:01 batch_cost: 2.2742 data_cost: 0.0012 ips: 24.6241 images/s [10/14 21:37:02] ppdet.engine INFO: Epoch: [64] [120/523] learning_rate: 0.356440 loss_vfl: 0.892165 loss_bbox: 0.317943 loss_dfl: 0.203750 loss: 1.425316 eta: 3 days, 6:59:12 batch_cost: 2.2749 data_cost: 0.0012 ips: 24.6162 images/s [10/14 21:37:50] ppdet.engine INFO: Epoch: [64] [140/523] learning_rate: 0.356390 loss_vfl: 0.895057 loss_bbox: 0.301069 loss_dfl: 0.193329 loss: 1.374576 eta: 3 days, 6:58:28 batch_cost: 2.3316 data_cost: 0.0019 ips: 24.0177 images/s [10/14 21:38:38] ppdet.engine INFO: Epoch: [64] [160/523] learning_rate: 0.356340 loss_vfl: 0.885603 loss_bbox: 0.301286 loss_dfl: 0.201280 loss: 1.395283 eta: 3 days, 6:57:42 batch_cost: 2.3037 data_cost: 0.0013 ips: 24.3086 images/s [10/14 21:39:26] ppdet.engine INFO: Epoch: [64] [180/523] learning_rate: 0.356290 loss_vfl: 0.899228 loss_bbox: 0.309178 loss_dfl: 0.193665 loss: 1.388852 eta: 3 days, 6:56:54 batch_cost: 2.2857 data_cost: 0.0013 ips: 24.4997 images/s [10/14 21:40:14] ppdet.engine INFO: Epoch: [64] [200/523] learning_rate: 0.356240 loss_vfl: 0.915198 loss_bbox: 0.315028 loss_dfl: 0.197677 loss: 1.433219 eta: 3 days, 6:56:06 batch_cost: 2.2773 data_cost: 0.0012 ips: 24.5906 images/s [10/14 21:41:03] ppdet.engine INFO: Epoch: [64] [220/523] learning_rate: 0.356190 loss_vfl: 0.910162 loss_bbox: 0.305507 loss_dfl: 0.192136 loss: 1.407852 eta: 3 days, 6:55:22 batch_cost: 2.3370 data_cost: 0.0012 ips: 23.9621 images/s [10/14 21:41:52] ppdet.engine INFO: Epoch: [64] [240/523] learning_rate: 0.356140 loss_vfl: 0.922219 loss_bbox: 0.295201 loss_dfl: 0.189471 loss: 1.414570 eta: 3 days, 6:54:40 batch_cost: 2.3608 data_cost: 0.0012 ips: 23.7207 images/s [10/14 21:42:41] ppdet.engine INFO: Epoch: [64] [260/523] learning_rate: 0.356090 loss_vfl: 0.892511 loss_bbox: 0.304567 loss_dfl: 0.188363 loss: 1.382435 eta: 3 days, 6:53:53 batch_cost: 2.2990 data_cost: 0.0012 ips: 24.3583 images/s [10/14 21:43:29] ppdet.engine INFO: Epoch: [64] [280/523] learning_rate: 0.356040 loss_vfl: 0.906434 loss_bbox: 0.331883 loss_dfl: 0.203037 loss: 1.439514 eta: 3 days, 6:53:06 batch_cost: 2.2853 data_cost: 0.0013 ips: 24.5040 images/s [10/14 21:44:16] ppdet.engine INFO: Epoch: [64] [300/523] learning_rate: 0.355990 loss_vfl: 0.898764 loss_bbox: 0.294851 loss_dfl: 0.187414 loss: 1.368679 eta: 3 days, 6:52:16 batch_cost: 2.2612 data_cost: 0.0012 ips: 24.7652 images/s [10/14 21:45:03] ppdet.engine INFO: Epoch: [64] [320/523] learning_rate: 0.355940 loss_vfl: 0.887900 loss_bbox: 0.315720 loss_dfl: 0.195380 loss: 1.411182 eta: 3 days, 6:51:28 batch_cost: 2.2733 data_cost: 0.0012 ips: 24.6336 images/s [10/14 21:45:52] ppdet.engine INFO: Epoch: [64] [340/523] learning_rate: 0.355889 loss_vfl: 0.913252 loss_bbox: 0.302470 loss_dfl: 0.196496 loss: 1.425968 eta: 3 days, 6:50:42 batch_cost: 2.3039 data_cost: 0.0013 ips: 24.3070 images/s [10/14 21:46:40] ppdet.engine INFO: Epoch: [64] [360/523] learning_rate: 0.355839 loss_vfl: 0.896988 loss_bbox: 0.322389 loss_dfl: 0.198210 loss: 1.400634 eta: 3 days, 6:49:56 batch_cost: 2.3156 data_cost: 0.0014 ips: 24.1834 images/s [10/14 21:47:30] ppdet.engine INFO: Epoch: [64] [380/523] learning_rate: 0.355789 loss_vfl: 0.885332 loss_bbox: 0.313555 loss_dfl: 0.200744 loss: 1.412419 eta: 3 days, 6:49:16 batch_cost: 2.3906 data_cost: 0.0013 ips: 23.4252 images/s [10/14 21:48:17] ppdet.engine INFO: Epoch: [64] [400/523] learning_rate: 0.355739 loss_vfl: 0.889978 loss_bbox: 0.319908 loss_dfl: 0.199742 loss: 1.418134 eta: 3 days, 6:48:25 batch_cost: 2.2303 data_cost: 0.0013 ips: 25.1085 images/s [10/14 21:49:05] ppdet.engine INFO: Epoch: [64] [420/523] learning_rate: 0.355688 loss_vfl: 0.915645 loss_bbox: 0.285632 loss_dfl: 0.187766 loss: 1.397356 eta: 3 days, 6:47:37 batch_cost: 2.2846 data_cost: 0.0019 ips: 24.5123 images/s [10/14 21:49:53] ppdet.engine INFO: Epoch: [64] [440/523] learning_rate: 0.355638 loss_vfl: 0.937895 loss_bbox: 0.312911 loss_dfl: 0.196068 loss: 1.449965 eta: 3 days, 6:46:50 batch_cost: 2.2901 data_cost: 0.0012 ips: 24.4532 images/s [10/14 21:50:39] ppdet.engine INFO: Epoch: [64] [460/523] learning_rate: 0.355588 loss_vfl: 0.901557 loss_bbox: 0.308245 loss_dfl: 0.188709 loss: 1.393533 eta: 3 days, 6:45:56 batch_cost: 2.2077 data_cost: 0.0013 ips: 25.3659 images/s [10/14 21:51:27] ppdet.engine INFO: Epoch: [64] [480/523] learning_rate: 0.355538 loss_vfl: 0.891721 loss_bbox: 0.300136 loss_dfl: 0.193002 loss: 1.378636 eta: 3 days, 6:45:08 batch_cost: 2.2714 data_cost: 0.0012 ips: 24.6544 images/s [10/14 21:52:14] ppdet.engine INFO: Epoch: [64] [500/523] learning_rate: 0.355487 loss_vfl: 0.901746 loss_bbox: 0.303082 loss_dfl: 0.190109 loss: 1.390503 eta: 3 days, 6:44:19 batch_cost: 2.2754 data_cost: 0.0012 ips: 24.6112 images/s [10/14 21:52:56] ppdet.engine INFO: Epoch: [64] [520/523] learning_rate: 0.355437 loss_vfl: 0.910591 loss_bbox: 0.318920 loss_dfl: 0.195187 loss: 1.415281 eta: 3 days, 6:43:11 batch_cost: 1.9919 data_cost: 0.0012 ips: 28.1134 images/s [10/14 21:53:20] ppdet.engine INFO: Epoch: [65] [ 0/523] learning_rate: 0.355429 loss_vfl: 0.906369 loss_bbox: 0.317483 loss_dfl: 0.197300 loss: 1.415281 eta: 3 days, 6:43:50 batch_cost: 2.6453 data_cost: 0.4888 ips: 21.1696 images/s [10/14 21:54:15] ppdet.engine INFO: Epoch: [65] [ 20/523] learning_rate: 0.355379 loss_vfl: 0.880748 loss_bbox: 0.296947 loss_dfl: 0.194325 loss: 1.364682 eta: 3 days, 6:43:27 batch_cost: 2.6266 data_cost: 0.0015 ips: 21.3203 images/s [10/14 21:55:04] ppdet.engine INFO: Epoch: [65] [ 40/523] learning_rate: 0.355328 loss_vfl: 0.893778 loss_bbox: 0.291916 loss_dfl: 0.186365 loss: 1.364023 eta: 3 days, 6:42:42 batch_cost: 2.3192 data_cost: 0.0015 ips: 24.1459 images/s [10/14 21:55:51] ppdet.engine INFO: Epoch: [65] [ 60/523] learning_rate: 0.355278 loss_vfl: 0.889700 loss_bbox: 0.314379 loss_dfl: 0.198586 loss: 1.412737 eta: 3 days, 6:41:51 batch_cost: 2.2397 data_cost: 0.0015 ips: 25.0028 images/s [10/14 21:56:39] ppdet.engine INFO: Epoch: [65] [ 80/523] learning_rate: 0.355227 loss_vfl: 0.896062 loss_bbox: 0.331268 loss_dfl: 0.205054 loss: 1.432067 eta: 3 days, 6:41:02 batch_cost: 2.2675 data_cost: 0.0020 ips: 24.6963 images/s [10/14 21:57:26] ppdet.engine INFO: Epoch: [65] [100/523] learning_rate: 0.355177 loss_vfl: 0.896509 loss_bbox: 0.313715 loss_dfl: 0.195522 loss: 1.411338 eta: 3 days, 6:40:12 batch_cost: 2.2488 data_cost: 0.0022 ips: 24.9021 images/s [10/14 21:58:13] ppdet.engine INFO: Epoch: [65] [120/523] learning_rate: 0.355126 loss_vfl: 0.908747 loss_bbox: 0.325860 loss_dfl: 0.198098 loss: 1.421312 eta: 3 days, 6:39:22 batch_cost: 2.2520 data_cost: 0.0014 ips: 24.8664 images/s [10/14 21:59:01] ppdet.engine INFO: Epoch: [65] [140/523] learning_rate: 0.355076 loss_vfl: 0.906094 loss_bbox: 0.298255 loss_dfl: 0.194222 loss: 1.404402 eta: 3 days, 6:38:35 batch_cost: 2.3044 data_cost: 0.0014 ips: 24.3016 images/s [10/14 21:59:50] ppdet.engine INFO: Epoch: [65] [160/523] learning_rate: 0.355025 loss_vfl: 0.909344 loss_bbox: 0.304100 loss_dfl: 0.190361 loss: 1.390926 eta: 3 days, 6:37:49 batch_cost: 2.3065 data_cost: 0.0024 ips: 24.2790 images/s [10/14 22:00:38] ppdet.engine INFO: Epoch: [65] [180/523] learning_rate: 0.354975 loss_vfl: 0.889031 loss_bbox: 0.313513 loss_dfl: 0.197394 loss: 1.401867 eta: 3 days, 6:37:02 batch_cost: 2.2836 data_cost: 0.0013 ips: 24.5226 images/s [10/14 22:01:26] ppdet.engine INFO: Epoch: [65] [200/523] learning_rate: 0.354924 loss_vfl: 0.910313 loss_bbox: 0.330060 loss_dfl: 0.207570 loss: 1.442916 eta: 3 days, 6:36:15 batch_cost: 2.3033 data_cost: 0.0013 ips: 24.3133 images/s [10/14 22:02:15] ppdet.engine INFO: Epoch: [65] [220/523] learning_rate: 0.354873 loss_vfl: 0.895996 loss_bbox: 0.300304 loss_dfl: 0.191502 loss: 1.414210 eta: 3 days, 6:35:27 batch_cost: 2.2757 data_cost: 0.0013 ips: 24.6083 images/s [10/14 22:03:01] ppdet.engine INFO: Epoch: [65] [240/523] learning_rate: 0.354823 loss_vfl: 0.895325 loss_bbox: 0.307116 loss_dfl: 0.199663 loss: 1.389114 eta: 3 days, 6:34:35 batch_cost: 2.2182 data_cost: 0.0020 ips: 25.2454 images/s [10/14 22:03:47] ppdet.engine INFO: Epoch: [65] [260/523] learning_rate: 0.354772 loss_vfl: 0.893199 loss_bbox: 0.325693 loss_dfl: 0.198766 loss: 1.419155 eta: 3 days, 6:33:42 batch_cost: 2.2132 data_cost: 0.0013 ips: 25.3022 images/s [10/14 22:04:37] ppdet.engine INFO: Epoch: [65] [280/523] learning_rate: 0.354721 loss_vfl: 0.898274 loss_bbox: 0.323389 loss_dfl: 0.202692 loss: 1.437107 eta: 3 days, 6:32:57 batch_cost: 2.3249 data_cost: 0.0013 ips: 24.0875 images/s [10/14 22:05:26] ppdet.engine INFO: Epoch: [65] [300/523] learning_rate: 0.354670 loss_vfl: 0.904724 loss_bbox: 0.308566 loss_dfl: 0.201119 loss: 1.400071 eta: 3 days, 6:32:15 batch_cost: 2.3599 data_cost: 0.0013 ips: 23.7301 images/s [10/14 22:06:15] ppdet.engine INFO: Epoch: [65] [320/523] learning_rate: 0.354620 loss_vfl: 0.918045 loss_bbox: 0.306306 loss_dfl: 0.197462 loss: 1.424465 eta: 3 days, 6:31:29 batch_cost: 2.3159 data_cost: 0.0013 ips: 24.1802 images/s [10/14 22:07:03] ppdet.engine INFO: Epoch: [65] [340/523] learning_rate: 0.354569 loss_vfl: 0.926231 loss_bbox: 0.307655 loss_dfl: 0.192674 loss: 1.415130 eta: 3 days, 6:30:44 batch_cost: 2.3108 data_cost: 0.0013 ips: 24.2343 images/s [10/14 22:07:51] ppdet.engine INFO: Epoch: [65] [360/523] learning_rate: 0.354518 loss_vfl: 0.911636 loss_bbox: 0.304032 loss_dfl: 0.197258 loss: 1.420401 eta: 3 days, 6:29:55 batch_cost: 2.2674 data_cost: 0.0013 ips: 24.6980 images/s [10/14 22:08:38] ppdet.engine INFO: Epoch: [65] [380/523] learning_rate: 0.354467 loss_vfl: 0.900201 loss_bbox: 0.317598 loss_dfl: 0.201524 loss: 1.420826 eta: 3 days, 6:29:04 batch_cost: 2.2367 data_cost: 0.0012 ips: 25.0367 images/s [10/14 22:09:27] ppdet.engine INFO: Epoch: [65] [400/523] learning_rate: 0.354416 loss_vfl: 0.898195 loss_bbox: 0.314503 loss_dfl: 0.198633 loss: 1.409312 eta: 3 days, 6:28:18 batch_cost: 2.3074 data_cost: 0.0029 ips: 24.2701 images/s [10/14 22:10:16] ppdet.engine INFO: Epoch: [65] [420/523] learning_rate: 0.354365 loss_vfl: 0.893060 loss_bbox: 0.326854 loss_dfl: 0.206453 loss: 1.433797 eta: 3 days, 6:27:36 batch_cost: 2.3734 data_cost: 0.0013 ips: 23.5953 images/s [10/14 22:11:03] ppdet.engine INFO: Epoch: [65] [440/523] learning_rate: 0.354314 loss_vfl: 0.892799 loss_bbox: 0.314615 loss_dfl: 0.193978 loss: 1.401446 eta: 3 days, 6:26:47 batch_cost: 2.2555 data_cost: 0.0024 ips: 24.8287 images/s [10/14 22:11:51] ppdet.engine INFO: Epoch: [65] [460/523] learning_rate: 0.354263 loss_vfl: 0.911772 loss_bbox: 0.322500 loss_dfl: 0.202691 loss: 1.433862 eta: 3 days, 6:25:57 batch_cost: 2.2593 data_cost: 0.0012 ips: 24.7863 images/s [10/14 22:12:38] ppdet.engine INFO: Epoch: [65] [480/523] learning_rate: 0.354212 loss_vfl: 0.904274 loss_bbox: 0.329535 loss_dfl: 0.207670 loss: 1.461394 eta: 3 days, 6:25:08 batch_cost: 2.2646 data_cost: 0.0013 ips: 24.7279 images/s [10/14 22:13:26] ppdet.engine INFO: Epoch: [65] [500/523] learning_rate: 0.354161 loss_vfl: 0.902942 loss_bbox: 0.313265 loss_dfl: 0.194945 loss: 1.413633 eta: 3 days, 6:24:21 batch_cost: 2.2869 data_cost: 0.0013 ips: 24.4871 images/s [10/14 22:14:07] ppdet.engine INFO: Epoch: [65] [520/523] learning_rate: 0.354110 loss_vfl: 0.912864 loss_bbox: 0.316127 loss_dfl: 0.193355 loss: 1.394994 eta: 3 days, 6:23:10 batch_cost: 1.9650 data_cost: 0.0012 ips: 28.4984 images/s [10/14 22:14:33] ppdet.engine INFO: Epoch: [66] [ 0/523] learning_rate: 0.354103 loss_vfl: 0.912864 loss_bbox: 0.319427 loss_dfl: 0.200882 loss: 1.410801 eta: 3 days, 6:23:57 batch_cost: 2.7281 data_cost: 0.5104 ips: 20.5274 images/s [10/14 22:15:25] ppdet.engine INFO: Epoch: [66] [ 20/523] learning_rate: 0.354052 loss_vfl: 0.891320 loss_bbox: 0.308133 loss_dfl: 0.195326 loss: 1.405607 eta: 3 days, 6:23:23 batch_cost: 2.4724 data_cost: 0.0013 ips: 22.6500 images/s [10/14 22:16:15] ppdet.engine INFO: Epoch: [66] [ 40/523] learning_rate: 0.354000 loss_vfl: 0.892172 loss_bbox: 0.305544 loss_dfl: 0.193671 loss: 1.388402 eta: 3 days, 6:22:40 batch_cost: 2.3601 data_cost: 0.0013 ips: 23.7277 images/s [10/14 22:17:03] ppdet.engine INFO: Epoch: [66] [ 60/523] learning_rate: 0.353949 loss_vfl: 0.902382 loss_bbox: 0.311515 loss_dfl: 0.193355 loss: 1.398628 eta: 3 days, 6:21:55 batch_cost: 2.3173 data_cost: 0.0012 ips: 24.1656 images/s [10/14 22:17:51] ppdet.engine INFO: Epoch: [66] [ 80/523] learning_rate: 0.353898 loss_vfl: 0.903079 loss_bbox: 0.310094 loss_dfl: 0.195807 loss: 1.411894 eta: 3 days, 6:21:07 batch_cost: 2.2747 data_cost: 0.0012 ips: 24.6190 images/s [10/14 22:18:39] ppdet.engine INFO: Epoch: [66] [100/523] learning_rate: 0.353847 loss_vfl: 0.899013 loss_bbox: 0.307222 loss_dfl: 0.196179 loss: 1.417238 eta: 3 days, 6:20:18 batch_cost: 2.2655 data_cost: 0.0013 ips: 24.7181 images/s [10/14 22:19:28] ppdet.engine INFO: Epoch: [66] [120/523] learning_rate: 0.353796 loss_vfl: 0.885317 loss_bbox: 0.307368 loss_dfl: 0.194554 loss: 1.390265 eta: 3 days, 6:19:33 batch_cost: 2.3210 data_cost: 0.0013 ips: 24.1277 images/s [10/14 22:20:15] ppdet.engine INFO: Epoch: [66] [140/523] learning_rate: 0.353745 loss_vfl: 0.891241 loss_bbox: 0.324497 loss_dfl: 0.197338 loss: 1.424308 eta: 3 days, 6:18:42 batch_cost: 2.2470 data_cost: 0.0013 ips: 24.9217 images/s [10/14 22:21:02] ppdet.engine INFO: Epoch: [66] [160/523] learning_rate: 0.353693 loss_vfl: 0.892926 loss_bbox: 0.311483 loss_dfl: 0.190902 loss: 1.390706 eta: 3 days, 6:17:52 batch_cost: 2.2513 data_cost: 0.0019 ips: 24.8749 images/s [10/14 22:21:50] ppdet.engine INFO: Epoch: [66] [180/523] learning_rate: 0.353642 loss_vfl: 0.911813 loss_bbox: 0.301330 loss_dfl: 0.197228 loss: 1.424623 eta: 3 days, 6:17:04 batch_cost: 2.2796 data_cost: 0.0012 ips: 24.5659 images/s [10/14 22:22:37] ppdet.engine INFO: Epoch: [66] [200/523] learning_rate: 0.353591 loss_vfl: 0.906116 loss_bbox: 0.320428 loss_dfl: 0.203296 loss: 1.416814 eta: 3 days, 6:16:14 batch_cost: 2.2511 data_cost: 0.0013 ips: 24.8770 images/s [10/14 22:23:25] ppdet.engine INFO: Epoch: [66] [220/523] learning_rate: 0.353540 loss_vfl: 0.884393 loss_bbox: 0.290143 loss_dfl: 0.193059 loss: 1.393696 eta: 3 days, 6:15:28 batch_cost: 2.2978 data_cost: 0.0013 ips: 24.3716 images/s [10/14 22:24:13] ppdet.engine INFO: Epoch: [66] [240/523] learning_rate: 0.353488 loss_vfl: 0.911890 loss_bbox: 0.326033 loss_dfl: 0.204040 loss: 1.426475 eta: 3 days, 6:14:39 batch_cost: 2.2732 data_cost: 0.0021 ips: 24.6352 images/s [10/14 22:25:00] ppdet.engine INFO: Epoch: [66] [260/523] learning_rate: 0.353437 loss_vfl: 0.905657 loss_bbox: 0.311165 loss_dfl: 0.191761 loss: 1.404636 eta: 3 days, 6:13:49 batch_cost: 2.2517 data_cost: 0.0013 ips: 24.8702 images/s [10/14 22:25:47] ppdet.engine INFO: Epoch: [66] [280/523] learning_rate: 0.353385 loss_vfl: 0.918936 loss_bbox: 0.315656 loss_dfl: 0.204952 loss: 1.460736 eta: 3 days, 6:12:58 batch_cost: 2.2276 data_cost: 0.0012 ips: 25.1394 images/s [10/14 22:26:35] ppdet.engine INFO: Epoch: [66] [300/523] learning_rate: 0.353334 loss_vfl: 0.897903 loss_bbox: 0.310398 loss_dfl: 0.196857 loss: 1.403980 eta: 3 days, 6:12:10 batch_cost: 2.2861 data_cost: 0.0012 ips: 24.4958 images/s [10/14 22:27:25] ppdet.engine INFO: Epoch: [66] [320/523] learning_rate: 0.353283 loss_vfl: 0.902063 loss_bbox: 0.291835 loss_dfl: 0.195917 loss: 1.414916 eta: 3 days, 6:11:28 batch_cost: 2.3602 data_cost: 0.0012 ips: 23.7271 images/s [10/14 22:28:12] ppdet.engine INFO: Epoch: [66] [340/523] learning_rate: 0.353231 loss_vfl: 0.903932 loss_bbox: 0.329993 loss_dfl: 0.200470 loss: 1.444363 eta: 3 days, 6:10:40 batch_cost: 2.2790 data_cost: 0.0013 ips: 24.5720 images/s [10/14 22:29:00] ppdet.engine INFO: Epoch: [66] [360/523] learning_rate: 0.353180 loss_vfl: 0.900674 loss_bbox: 0.341750 loss_dfl: 0.208411 loss: 1.453821 eta: 3 days, 6:09:51 batch_cost: 2.2692 data_cost: 0.0013 ips: 24.6782 images/s [10/14 22:29:46] ppdet.engine INFO: Epoch: [66] [380/523] learning_rate: 0.353128 loss_vfl: 0.919484 loss_bbox: 0.301748 loss_dfl: 0.190619 loss: 1.406159 eta: 3 days, 6:09:00 batch_cost: 2.2306 data_cost: 0.0012 ips: 25.1054 images/s [10/14 22:30:34] ppdet.engine INFO: Epoch: [66] [400/523] learning_rate: 0.353077 loss_vfl: 0.897564 loss_bbox: 0.310415 loss_dfl: 0.198125 loss: 1.425449 eta: 3 days, 6:08:13 batch_cost: 2.2917 data_cost: 0.0012 ips: 24.4358 images/s [10/14 22:31:22] ppdet.engine INFO: Epoch: [66] [420/523] learning_rate: 0.353025 loss_vfl: 0.905188 loss_bbox: 0.295580 loss_dfl: 0.192380 loss: 1.391248 eta: 3 days, 6:07:26 batch_cost: 2.2950 data_cost: 0.0020 ips: 24.4009 images/s [10/14 22:32:09] ppdet.engine INFO: Epoch: [66] [440/523] learning_rate: 0.352974 loss_vfl: 0.904193 loss_bbox: 0.298181 loss_dfl: 0.187290 loss: 1.378458 eta: 3 days, 6:06:36 batch_cost: 2.2497 data_cost: 0.0019 ips: 24.8927 images/s [10/14 22:32:57] ppdet.engine INFO: Epoch: [66] [460/523] learning_rate: 0.352922 loss_vfl: 0.897097 loss_bbox: 0.313889 loss_dfl: 0.196381 loss: 1.426813 eta: 3 days, 6:05:47 batch_cost: 2.2724 data_cost: 0.0012 ips: 24.6431 images/s [10/14 22:33:46] ppdet.engine INFO: Epoch: [66] [480/523] learning_rate: 0.352870 loss_vfl: 0.920156 loss_bbox: 0.321806 loss_dfl: 0.207741 loss: 1.453517 eta: 3 days, 6:05:03 batch_cost: 2.3294 data_cost: 0.0012 ips: 24.0405 images/s [10/14 22:34:33] ppdet.engine INFO: Epoch: [66] [500/523] learning_rate: 0.352819 loss_vfl: 0.922047 loss_bbox: 0.317062 loss_dfl: 0.203574 loss: 1.437981 eta: 3 days, 6:04:13 batch_cost: 2.2571 data_cost: 0.0024 ips: 24.8108 images/s [10/14 22:35:14] ppdet.engine INFO: Epoch: [66] [520/523] learning_rate: 0.352767 loss_vfl: 0.911147 loss_bbox: 0.291716 loss_dfl: 0.189017 loss: 1.387498 eta: 3 days, 6:03:02 batch_cost: 1.9447 data_cost: 0.0013 ips: 28.7969 images/s [10/14 22:35:42] ppdet.engine INFO: Epoch: [67] [ 0/523] learning_rate: 0.352759 loss_vfl: 0.899411 loss_bbox: 0.291716 loss_dfl: 0.188564 loss: 1.376342 eta: 3 days, 6:03:55 batch_cost: 2.8111 data_cost: 0.4544 ips: 19.9209 images/s [10/14 22:36:33] ppdet.engine INFO: Epoch: [67] [ 20/523] learning_rate: 0.352707 loss_vfl: 0.904689 loss_bbox: 0.302263 loss_dfl: 0.199971 loss: 1.435267 eta: 3 days, 6:03:18 batch_cost: 2.4457 data_cost: 0.0014 ips: 22.8975 images/s [10/14 22:37:22] ppdet.engine INFO: Epoch: [67] [ 40/523] learning_rate: 0.352656 loss_vfl: 0.900078 loss_bbox: 0.310525 loss_dfl: 0.200414 loss: 1.414633 eta: 3 days, 6:02:34 batch_cost: 2.3249 data_cost: 0.0014 ips: 24.0871 images/s [10/14 22:38:11] ppdet.engine INFO: Epoch: [67] [ 60/523] learning_rate: 0.352604 loss_vfl: 0.877131 loss_bbox: 0.309731 loss_dfl: 0.199641 loss: 1.413351 eta: 3 days, 6:01:49 batch_cost: 2.3363 data_cost: 0.0013 ips: 23.9693 images/s [10/14 22:39:01] ppdet.engine INFO: Epoch: [67] [ 80/523] learning_rate: 0.352552 loss_vfl: 0.882694 loss_bbox: 0.296390 loss_dfl: 0.190573 loss: 1.380629 eta: 3 days, 6:01:07 batch_cost: 2.3644 data_cost: 0.0013 ips: 23.6849 images/s [10/14 22:39:49] ppdet.engine INFO: Epoch: [67] [100/523] learning_rate: 0.352500 loss_vfl: 0.901497 loss_bbox: 0.299461 loss_dfl: 0.188347 loss: 1.400553 eta: 3 days, 6:00:20 batch_cost: 2.2824 data_cost: 0.0013 ips: 24.5353 images/s [10/14 22:40:37] ppdet.engine INFO: Epoch: [67] [120/523] learning_rate: 0.352449 loss_vfl: 0.906488 loss_bbox: 0.309192 loss_dfl: 0.199141 loss: 1.417895 eta: 3 days, 5:59:33 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4054 images/s [10/14 22:41:26] ppdet.engine INFO: Epoch: [67] [140/523] learning_rate: 0.352397 loss_vfl: 0.883290 loss_bbox: 0.301391 loss_dfl: 0.193396 loss: 1.418554 eta: 3 days, 5:58:49 batch_cost: 2.3484 data_cost: 0.0014 ips: 23.8464 images/s [10/14 22:42:14] ppdet.engine INFO: Epoch: [67] [160/523] learning_rate: 0.352345 loss_vfl: 0.906173 loss_bbox: 0.298520 loss_dfl: 0.191353 loss: 1.411046 eta: 3 days, 5:58:03 batch_cost: 2.3048 data_cost: 0.0015 ips: 24.2969 images/s [10/14 22:43:02] ppdet.engine INFO: Epoch: [67] [180/523] learning_rate: 0.352293 loss_vfl: 0.902232 loss_bbox: 0.321434 loss_dfl: 0.203278 loss: 1.438326 eta: 3 days, 5:57:13 batch_cost: 2.2471 data_cost: 0.0013 ips: 24.9213 images/s [10/14 22:43:52] ppdet.engine INFO: Epoch: [67] [200/523] learning_rate: 0.352241 loss_vfl: 0.895583 loss_bbox: 0.303458 loss_dfl: 0.192612 loss: 1.398987 eta: 3 days, 5:56:32 batch_cost: 2.3881 data_cost: 0.0026 ips: 23.4493 images/s [10/14 22:44:42] ppdet.engine INFO: Epoch: [67] [220/523] learning_rate: 0.352189 loss_vfl: 0.911511 loss_bbox: 0.297102 loss_dfl: 0.193461 loss: 1.415337 eta: 3 days, 5:55:53 batch_cost: 2.4021 data_cost: 0.0022 ips: 23.3131 images/s [10/14 22:45:30] ppdet.engine INFO: Epoch: [67] [240/523] learning_rate: 0.352137 loss_vfl: 0.900502 loss_bbox: 0.280036 loss_dfl: 0.183495 loss: 1.368035 eta: 3 days, 5:55:05 batch_cost: 2.2860 data_cost: 0.0013 ips: 24.4966 images/s [10/14 22:46:18] ppdet.engine INFO: Epoch: [67] [260/523] learning_rate: 0.352085 loss_vfl: 0.896630 loss_bbox: 0.307863 loss_dfl: 0.192681 loss: 1.410558 eta: 3 days, 5:54:18 batch_cost: 2.2919 data_cost: 0.0013 ips: 24.4338 images/s [10/14 22:47:05] ppdet.engine INFO: Epoch: [67] [280/523] learning_rate: 0.352033 loss_vfl: 0.908093 loss_bbox: 0.312118 loss_dfl: 0.195874 loss: 1.424337 eta: 3 days, 5:53:28 batch_cost: 2.2486 data_cost: 0.0012 ips: 24.9040 images/s [10/14 22:47:53] ppdet.engine INFO: Epoch: [67] [300/523] learning_rate: 0.351981 loss_vfl: 0.911848 loss_bbox: 0.296136 loss_dfl: 0.189835 loss: 1.426852 eta: 3 days, 5:52:40 batch_cost: 2.2795 data_cost: 0.0013 ips: 24.5667 images/s [10/14 22:48:40] ppdet.engine INFO: Epoch: [67] [320/523] learning_rate: 0.351929 loss_vfl: 0.889301 loss_bbox: 0.326530 loss_dfl: 0.205897 loss: 1.408391 eta: 3 days, 5:51:50 batch_cost: 2.2533 data_cost: 0.0013 ips: 24.8528 images/s [10/14 22:49:28] ppdet.engine INFO: Epoch: [67] [340/523] learning_rate: 0.351877 loss_vfl: 0.892012 loss_bbox: 0.306709 loss_dfl: 0.188937 loss: 1.412156 eta: 3 days, 5:51:01 batch_cost: 2.2547 data_cost: 0.0013 ips: 24.8370 images/s [10/14 22:50:16] ppdet.engine INFO: Epoch: [67] [360/523] learning_rate: 0.351825 loss_vfl: 0.915347 loss_bbox: 0.315774 loss_dfl: 0.196056 loss: 1.431575 eta: 3 days, 5:50:13 batch_cost: 2.2898 data_cost: 0.0012 ips: 24.4560 images/s [10/14 22:51:03] ppdet.engine INFO: Epoch: [67] [380/523] learning_rate: 0.351773 loss_vfl: 0.890001 loss_bbox: 0.323753 loss_dfl: 0.206019 loss: 1.427193 eta: 3 days, 5:49:23 batch_cost: 2.2407 data_cost: 0.0013 ips: 24.9923 images/s [10/14 22:51:51] ppdet.engine INFO: Epoch: [67] [400/523] learning_rate: 0.351720 loss_vfl: 0.913244 loss_bbox: 0.305597 loss_dfl: 0.196432 loss: 1.418829 eta: 3 days, 5:48:36 batch_cost: 2.2956 data_cost: 0.0012 ips: 24.3948 images/s [10/14 22:52:38] ppdet.engine INFO: Epoch: [67] [420/523] learning_rate: 0.351668 loss_vfl: 0.895837 loss_bbox: 0.308534 loss_dfl: 0.192030 loss: 1.398378 eta: 3 days, 5:47:47 batch_cost: 2.2642 data_cost: 0.0013 ips: 24.7324 images/s [10/14 22:53:28] ppdet.engine INFO: Epoch: [67] [440/523] learning_rate: 0.351616 loss_vfl: 0.900330 loss_bbox: 0.319216 loss_dfl: 0.201282 loss: 1.436713 eta: 3 days, 5:47:05 batch_cost: 2.3663 data_cost: 0.0017 ips: 23.6657 images/s [10/14 22:54:17] ppdet.engine INFO: Epoch: [67] [460/523] learning_rate: 0.351564 loss_vfl: 0.914602 loss_bbox: 0.313669 loss_dfl: 0.194515 loss: 1.414840 eta: 3 days, 5:46:20 batch_cost: 2.3201 data_cost: 0.0012 ips: 24.1366 images/s [10/14 22:55:05] ppdet.engine INFO: Epoch: [67] [480/523] learning_rate: 0.351511 loss_vfl: 0.900370 loss_bbox: 0.303130 loss_dfl: 0.188709 loss: 1.384372 eta: 3 days, 5:45:33 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3586 images/s [10/14 22:55:51] ppdet.engine INFO: Epoch: [67] [500/523] learning_rate: 0.351459 loss_vfl: 0.917988 loss_bbox: 0.282094 loss_dfl: 0.186524 loss: 1.385983 eta: 3 days, 5:44:40 batch_cost: 2.2073 data_cost: 0.0012 ips: 25.3699 images/s [10/14 22:56:33] ppdet.engine INFO: Epoch: [67] [520/523] learning_rate: 0.351407 loss_vfl: 0.916955 loss_bbox: 0.301376 loss_dfl: 0.192757 loss: 1.424092 eta: 3 days, 5:43:34 batch_cost: 2.0096 data_cost: 0.0012 ips: 27.8666 images/s [10/14 22:57:04] ppdet.engine INFO: Epoch: [68] [ 0/523] learning_rate: 0.351399 loss_vfl: 0.929625 loss_bbox: 0.299103 loss_dfl: 0.192757 loss: 1.418294 eta: 3 days, 5:44:35 batch_cost: 3.0008 data_cost: 0.7580 ips: 18.6615 images/s [10/14 22:57:53] ppdet.engine INFO: Epoch: [68] [ 20/523] learning_rate: 0.351347 loss_vfl: 0.896420 loss_bbox: 0.317510 loss_dfl: 0.203064 loss: 1.401401 eta: 3 days, 5:43:52 batch_cost: 2.3564 data_cost: 0.0015 ips: 23.7653 images/s [10/14 22:58:43] ppdet.engine INFO: Epoch: [68] [ 40/523] learning_rate: 0.351294 loss_vfl: 0.896933 loss_bbox: 0.307705 loss_dfl: 0.195201 loss: 1.403910 eta: 3 days, 5:43:11 batch_cost: 2.3786 data_cost: 0.0013 ips: 23.5436 images/s [10/14 22:59:32] ppdet.engine INFO: Epoch: [68] [ 60/523] learning_rate: 0.351242 loss_vfl: 0.898296 loss_bbox: 0.313091 loss_dfl: 0.195908 loss: 1.419742 eta: 3 days, 5:42:26 batch_cost: 2.3274 data_cost: 0.0015 ips: 24.0608 images/s [10/14 23:00:19] ppdet.engine INFO: Epoch: [68] [ 80/523] learning_rate: 0.351189 loss_vfl: 0.875478 loss_bbox: 0.296368 loss_dfl: 0.192701 loss: 1.373923 eta: 3 days, 5:41:37 batch_cost: 2.2571 data_cost: 0.0013 ips: 24.8103 images/s [10/14 23:01:07] ppdet.engine INFO: Epoch: [68] [100/523] learning_rate: 0.351137 loss_vfl: 0.906236 loss_bbox: 0.293945 loss_dfl: 0.190526 loss: 1.384471 eta: 3 days, 5:40:47 batch_cost: 2.2516 data_cost: 0.0012 ips: 24.8717 images/s [10/14 23:01:56] ppdet.engine INFO: Epoch: [68] [120/523] learning_rate: 0.351085 loss_vfl: 0.867359 loss_bbox: 0.300941 loss_dfl: 0.200456 loss: 1.391355 eta: 3 days, 5:40:02 batch_cost: 2.3255 data_cost: 0.0012 ips: 24.0812 images/s [10/14 23:02:44] ppdet.engine INFO: Epoch: [68] [140/523] learning_rate: 0.351032 loss_vfl: 0.906289 loss_bbox: 0.313090 loss_dfl: 0.192888 loss: 1.419060 eta: 3 days, 5:39:15 batch_cost: 2.3007 data_cost: 0.0013 ips: 24.3407 images/s [10/14 23:03:33] ppdet.engine INFO: Epoch: [68] [160/523] learning_rate: 0.350980 loss_vfl: 0.895976 loss_bbox: 0.301838 loss_dfl: 0.194311 loss: 1.393610 eta: 3 days, 5:38:31 batch_cost: 2.3302 data_cost: 0.0012 ips: 24.0322 images/s [10/14 23:04:20] ppdet.engine INFO: Epoch: [68] [180/523] learning_rate: 0.350927 loss_vfl: 0.910040 loss_bbox: 0.298184 loss_dfl: 0.191839 loss: 1.404482 eta: 3 days, 5:37:40 batch_cost: 2.2390 data_cost: 0.0019 ips: 25.0110 images/s [10/14 23:05:07] ppdet.engine INFO: Epoch: [68] [200/523] learning_rate: 0.350874 loss_vfl: 0.909230 loss_bbox: 0.306739 loss_dfl: 0.200699 loss: 1.399033 eta: 3 days, 5:36:51 batch_cost: 2.2612 data_cost: 0.0012 ips: 24.7661 images/s [10/14 23:05:56] ppdet.engine INFO: Epoch: [68] [220/523] learning_rate: 0.350822 loss_vfl: 0.897249 loss_bbox: 0.299223 loss_dfl: 0.198086 loss: 1.413382 eta: 3 days, 5:36:05 batch_cost: 2.3161 data_cost: 0.0013 ips: 24.1789 images/s [10/14 23:06:44] ppdet.engine INFO: Epoch: [68] [240/523] learning_rate: 0.350769 loss_vfl: 0.892000 loss_bbox: 0.328048 loss_dfl: 0.203851 loss: 1.440737 eta: 3 days, 5:35:19 batch_cost: 2.3102 data_cost: 0.0012 ips: 24.2401 images/s [10/14 23:07:33] ppdet.engine INFO: Epoch: [68] [260/523] learning_rate: 0.350717 loss_vfl: 0.911621 loss_bbox: 0.319144 loss_dfl: 0.197827 loss: 1.426633 eta: 3 days, 5:34:33 batch_cost: 2.3015 data_cost: 0.0012 ips: 24.3321 images/s [10/14 23:08:21] ppdet.engine INFO: Epoch: [68] [280/523] learning_rate: 0.350664 loss_vfl: 0.899098 loss_bbox: 0.297786 loss_dfl: 0.189569 loss: 1.381075 eta: 3 days, 5:33:47 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2672 images/s [10/14 23:09:09] ppdet.engine INFO: Epoch: [68] [300/523] learning_rate: 0.350611 loss_vfl: 0.911663 loss_bbox: 0.303041 loss_dfl: 0.191842 loss: 1.418746 eta: 3 days, 5:33:02 batch_cost: 2.3277 data_cost: 0.0012 ips: 24.0586 images/s [10/14 23:09:58] ppdet.engine INFO: Epoch: [68] [320/523] learning_rate: 0.350559 loss_vfl: 0.909739 loss_bbox: 0.311332 loss_dfl: 0.194220 loss: 1.415127 eta: 3 days, 5:32:16 batch_cost: 2.3064 data_cost: 0.0018 ips: 24.2803 images/s [10/14 23:10:46] ppdet.engine INFO: Epoch: [68] [340/523] learning_rate: 0.350506 loss_vfl: 0.889496 loss_bbox: 0.302396 loss_dfl: 0.197061 loss: 1.413108 eta: 3 days, 5:31:28 batch_cost: 2.2822 data_cost: 0.0013 ips: 24.5378 images/s [10/14 23:11:33] ppdet.engine INFO: Epoch: [68] [360/523] learning_rate: 0.350453 loss_vfl: 0.892411 loss_bbox: 0.308987 loss_dfl: 0.194615 loss: 1.396475 eta: 3 days, 5:30:38 batch_cost: 2.2403 data_cost: 0.0018 ips: 24.9972 images/s [10/14 23:12:21] ppdet.engine INFO: Epoch: [68] [380/523] learning_rate: 0.350400 loss_vfl: 0.894466 loss_bbox: 0.311643 loss_dfl: 0.195213 loss: 1.397236 eta: 3 days, 5:29:50 batch_cost: 2.2900 data_cost: 0.0012 ips: 24.4541 images/s [10/14 23:13:09] ppdet.engine INFO: Epoch: [68] [400/523] learning_rate: 0.350347 loss_vfl: 0.927966 loss_bbox: 0.308100 loss_dfl: 0.198132 loss: 1.426719 eta: 3 days, 5:29:03 batch_cost: 2.2808 data_cost: 0.0012 ips: 24.5532 images/s [10/14 23:13:57] ppdet.engine INFO: Epoch: [68] [420/523] learning_rate: 0.350295 loss_vfl: 0.938881 loss_bbox: 0.314137 loss_dfl: 0.198678 loss: 1.436088 eta: 3 days, 5:28:15 batch_cost: 2.2834 data_cost: 0.0013 ips: 24.5246 images/s [10/14 23:14:44] ppdet.engine INFO: Epoch: [68] [440/523] learning_rate: 0.350242 loss_vfl: 0.878762 loss_bbox: 0.316399 loss_dfl: 0.205002 loss: 1.424327 eta: 3 days, 5:27:27 batch_cost: 2.2782 data_cost: 0.0012 ips: 24.5812 images/s [10/14 23:15:33] ppdet.engine INFO: Epoch: [68] [460/523] learning_rate: 0.350189 loss_vfl: 0.898164 loss_bbox: 0.331662 loss_dfl: 0.208679 loss: 1.453025 eta: 3 days, 5:26:40 batch_cost: 2.2940 data_cost: 0.0012 ips: 24.4118 images/s [10/14 23:16:21] ppdet.engine INFO: Epoch: [68] [480/523] learning_rate: 0.350136 loss_vfl: 0.907770 loss_bbox: 0.300396 loss_dfl: 0.189460 loss: 1.403093 eta: 3 days, 5:25:54 batch_cost: 2.3090 data_cost: 0.0012 ips: 24.2531 images/s [10/14 23:17:08] ppdet.engine INFO: Epoch: [68] [500/523] learning_rate: 0.350083 loss_vfl: 0.909815 loss_bbox: 0.309708 loss_dfl: 0.195325 loss: 1.436408 eta: 3 days, 5:25:03 batch_cost: 2.2309 data_cost: 0.0012 ips: 25.1024 images/s [10/14 23:17:50] ppdet.engine INFO: Epoch: [68] [520/523] learning_rate: 0.350030 loss_vfl: 0.900026 loss_bbox: 0.303681 loss_dfl: 0.191981 loss: 1.414524 eta: 3 days, 5:23:56 batch_cost: 1.9931 data_cost: 0.0012 ips: 28.0975 images/s [10/14 23:18:23] ppdet.engine INFO: Epoch: [69] [ 0/523] learning_rate: 0.350022 loss_vfl: 0.910707 loss_bbox: 0.289262 loss_dfl: 0.191634 loss: 1.403541 eta: 3 days, 5:25:02 batch_cost: 3.0891 data_cost: 0.4232 ips: 18.1285 images/s [10/14 23:19:13] ppdet.engine INFO: Epoch: [69] [ 20/523] learning_rate: 0.349969 loss_vfl: 0.911077 loss_bbox: 0.321218 loss_dfl: 0.196686 loss: 1.423447 eta: 3 days, 5:24:21 batch_cost: 2.3834 data_cost: 0.0016 ips: 23.4963 images/s [10/14 23:20:02] ppdet.engine INFO: Epoch: [69] [ 40/523] learning_rate: 0.349916 loss_vfl: 0.887340 loss_bbox: 0.304102 loss_dfl: 0.197146 loss: 1.383236 eta: 3 days, 5:23:38 batch_cost: 2.3602 data_cost: 0.0012 ips: 23.7268 images/s [10/14 23:20:51] ppdet.engine INFO: Epoch: [69] [ 60/523] learning_rate: 0.349863 loss_vfl: 0.897074 loss_bbox: 0.296805 loss_dfl: 0.192912 loss: 1.392160 eta: 3 days, 5:22:53 batch_cost: 2.3204 data_cost: 0.0013 ips: 24.1342 images/s [10/14 23:21:39] ppdet.engine INFO: Epoch: [69] [ 80/523] learning_rate: 0.349810 loss_vfl: 0.894411 loss_bbox: 0.292302 loss_dfl: 0.186398 loss: 1.378579 eta: 3 days, 5:22:05 batch_cost: 2.2831 data_cost: 0.0013 ips: 24.5277 images/s [10/14 23:22:26] ppdet.engine INFO: Epoch: [69] [100/523] learning_rate: 0.349757 loss_vfl: 0.915940 loss_bbox: 0.327270 loss_dfl: 0.207445 loss: 1.419826 eta: 3 days, 5:21:17 batch_cost: 2.2798 data_cost: 0.0013 ips: 24.5637 images/s [10/14 23:23:15] ppdet.engine INFO: Epoch: [69] [120/523] learning_rate: 0.349704 loss_vfl: 0.922366 loss_bbox: 0.309754 loss_dfl: 0.197847 loss: 1.445065 eta: 3 days, 5:20:31 batch_cost: 2.3076 data_cost: 0.0014 ips: 24.2680 images/s [10/14 23:24:02] ppdet.engine INFO: Epoch: [69] [140/523] learning_rate: 0.349651 loss_vfl: 0.911977 loss_bbox: 0.307575 loss_dfl: 0.198583 loss: 1.418399 eta: 3 days, 5:19:42 batch_cost: 2.2664 data_cost: 0.0012 ips: 24.7088 images/s [10/14 23:24:50] ppdet.engine INFO: Epoch: [69] [160/523] learning_rate: 0.349598 loss_vfl: 0.890712 loss_bbox: 0.301160 loss_dfl: 0.196090 loss: 1.398294 eta: 3 days, 5:18:56 batch_cost: 2.3045 data_cost: 0.0012 ips: 24.3003 images/s [10/14 23:25:39] ppdet.engine INFO: Epoch: [69] [180/523] learning_rate: 0.349545 loss_vfl: 0.886953 loss_bbox: 0.294683 loss_dfl: 0.194966 loss: 1.406940 eta: 3 days, 5:18:12 batch_cost: 2.3350 data_cost: 0.0012 ips: 23.9827 images/s [10/14 23:26:26] ppdet.engine INFO: Epoch: [69] [200/523] learning_rate: 0.349491 loss_vfl: 0.887398 loss_bbox: 0.314505 loss_dfl: 0.201958 loss: 1.396987 eta: 3 days, 5:17:22 batch_cost: 2.2435 data_cost: 0.0012 ips: 24.9609 images/s [10/14 23:27:14] ppdet.engine INFO: Epoch: [69] [220/523] learning_rate: 0.349438 loss_vfl: 0.897609 loss_bbox: 0.322450 loss_dfl: 0.194262 loss: 1.421898 eta: 3 days, 5:16:35 batch_cost: 2.2973 data_cost: 0.0013 ips: 24.3765 images/s [10/14 23:28:03] ppdet.engine INFO: Epoch: [69] [240/523] learning_rate: 0.349385 loss_vfl: 0.889637 loss_bbox: 0.326571 loss_dfl: 0.204727 loss: 1.432902 eta: 3 days, 5:15:48 batch_cost: 2.3028 data_cost: 0.0012 ips: 24.3181 images/s [10/14 23:28:51] ppdet.engine INFO: Epoch: [69] [260/523] learning_rate: 0.349332 loss_vfl: 0.892435 loss_bbox: 0.330041 loss_dfl: 0.206346 loss: 1.437957 eta: 3 days, 5:15:03 batch_cost: 2.3228 data_cost: 0.0012 ips: 24.1093 images/s [10/14 23:29:39] ppdet.engine INFO: Epoch: [69] [280/523] learning_rate: 0.349278 loss_vfl: 0.903358 loss_bbox: 0.307225 loss_dfl: 0.195583 loss: 1.411000 eta: 3 days, 5:14:15 batch_cost: 2.2802 data_cost: 0.0013 ips: 24.5598 images/s [10/14 23:30:27] ppdet.engine INFO: Epoch: [69] [300/523] learning_rate: 0.349225 loss_vfl: 0.902250 loss_bbox: 0.341083 loss_dfl: 0.202033 loss: 1.439482 eta: 3 days, 5:13:27 batch_cost: 2.2804 data_cost: 0.0012 ips: 24.5576 images/s [10/14 23:31:15] ppdet.engine INFO: Epoch: [69] [320/523] learning_rate: 0.349172 loss_vfl: 0.924986 loss_bbox: 0.301516 loss_dfl: 0.200122 loss: 1.424882 eta: 3 days, 5:12:39 batch_cost: 2.2712 data_cost: 0.0012 ips: 24.6564 images/s [10/14 23:32:03] ppdet.engine INFO: Epoch: [69] [340/523] learning_rate: 0.349118 loss_vfl: 0.896761 loss_bbox: 0.296090 loss_dfl: 0.184220 loss: 1.379784 eta: 3 days, 5:11:52 batch_cost: 2.2909 data_cost: 0.0012 ips: 24.4445 images/s [10/14 23:32:50] ppdet.engine INFO: Epoch: [69] [360/523] learning_rate: 0.349065 loss_vfl: 0.907726 loss_bbox: 0.299219 loss_dfl: 0.194641 loss: 1.413379 eta: 3 days, 5:11:00 batch_cost: 2.2276 data_cost: 0.0013 ips: 25.1396 images/s [10/14 23:33:37] ppdet.engine INFO: Epoch: [69] [380/523] learning_rate: 0.349012 loss_vfl: 0.906604 loss_bbox: 0.313070 loss_dfl: 0.191246 loss: 1.406716 eta: 3 days, 5:10:12 batch_cost: 2.2703 data_cost: 0.0012 ips: 24.6659 images/s [10/14 23:34:24] ppdet.engine INFO: Epoch: [69] [400/523] learning_rate: 0.348958 loss_vfl: 0.909794 loss_bbox: 0.316637 loss_dfl: 0.206849 loss: 1.411822 eta: 3 days, 5:09:20 batch_cost: 2.2229 data_cost: 0.0013 ips: 25.1918 images/s [10/14 23:35:12] ppdet.engine INFO: Epoch: [69] [420/523] learning_rate: 0.348905 loss_vfl: 0.896814 loss_bbox: 0.321827 loss_dfl: 0.199996 loss: 1.421623 eta: 3 days, 5:08:31 batch_cost: 2.2662 data_cost: 0.0013 ips: 24.7104 images/s [10/14 23:35:59] ppdet.engine INFO: Epoch: [69] [440/523] learning_rate: 0.348851 loss_vfl: 0.909854 loss_bbox: 0.317415 loss_dfl: 0.200120 loss: 1.429794 eta: 3 days, 5:07:42 batch_cost: 2.2566 data_cost: 0.0012 ips: 24.8166 images/s [10/14 23:36:47] ppdet.engine INFO: Epoch: [69] [460/523] learning_rate: 0.348798 loss_vfl: 0.915296 loss_bbox: 0.310673 loss_dfl: 0.198528 loss: 1.425443 eta: 3 days, 5:06:55 batch_cost: 2.2955 data_cost: 0.0013 ips: 24.3960 images/s [10/14 23:37:35] ppdet.engine INFO: Epoch: [69] [480/523] learning_rate: 0.348744 loss_vfl: 0.908922 loss_bbox: 0.298040 loss_dfl: 0.194289 loss: 1.411332 eta: 3 days, 5:06:09 batch_cost: 2.3022 data_cost: 0.0013 ips: 24.3246 images/s [10/14 23:38:22] ppdet.engine INFO: Epoch: [69] [500/523] learning_rate: 0.348691 loss_vfl: 0.893523 loss_bbox: 0.333767 loss_dfl: 0.207684 loss: 1.428989 eta: 3 days, 5:05:15 batch_cost: 2.1853 data_cost: 0.0014 ips: 25.6252 images/s [10/14 23:39:03] ppdet.engine INFO: Epoch: [69] [520/523] learning_rate: 0.348637 loss_vfl: 0.912131 loss_bbox: 0.302952 loss_dfl: 0.189785 loss: 1.394565 eta: 3 days, 5:04:05 batch_cost: 1.9494 data_cost: 0.0012 ips: 28.7270 images/s [10/14 23:39:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 23:39:11] ppdet.engine INFO: Eval iter: 0 [10/14 23:39:49] ppdet.engine INFO: Eval iter: 100 [10/14 23:40:10] ppdet.engine INFO: Eval iter: 200 [10/14 23:40:30] ppdet.engine INFO: Eval iter: 300 [10/14 23:40:50] ppdet.engine INFO: Eval iter: 400 [10/14 23:41:11] ppdet.engine INFO: Eval iter: 500 [10/14 23:41:31] ppdet.engine INFO: Eval iter: 600 [10/14 23:41:52] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.69s) creating index... index created! [10/14 23:41:52] 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=100.10s). Accumulating evaluation results... DONE (t=18.50s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.329 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.479 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.347 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.123 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 ] = 0.532 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.289 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.458 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.215 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.550 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.726 [10/14 23:43:58] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.97773532497883 [10/14 23:43:58] ppdet.engine INFO: Best test bbox ap is 0.329. [10/14 23:43:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/14 23:44:01] ppdet.engine INFO: Epoch: [70] [ 0/523] learning_rate: 0.348629 loss_vfl: 0.899659 loss_bbox: 0.302952 loss_dfl: 0.189785 loss: 1.394565 eta: 3 days, 5:03:53 batch_cost: 1.8968 data_cost: 0.0013 ips: 29.5230 images/s [10/14 23:44:50] ppdet.engine INFO: Epoch: [70] [ 20/523] learning_rate: 0.348575 loss_vfl: 0.902329 loss_bbox: 0.317281 loss_dfl: 0.191996 loss: 1.404422 eta: 3 days, 5:03:10 batch_cost: 2.3424 data_cost: 0.0013 ips: 23.9069 images/s [10/14 23:45:39] ppdet.engine INFO: Epoch: [70] [ 40/523] learning_rate: 0.348522 loss_vfl: 0.889835 loss_bbox: 0.293188 loss_dfl: 0.192377 loss: 1.374026 eta: 3 days, 5:02:27 batch_cost: 2.3618 data_cost: 0.0014 ips: 23.7104 images/s [10/14 23:46:28] ppdet.engine INFO: Epoch: [70] [ 60/523] learning_rate: 0.348468 loss_vfl: 0.882886 loss_bbox: 0.322675 loss_dfl: 0.198025 loss: 1.406525 eta: 3 days, 5:01:44 batch_cost: 2.3493 data_cost: 0.0013 ips: 23.8372 images/s [10/14 23:47:17] ppdet.engine INFO: Epoch: [70] [ 80/523] learning_rate: 0.348414 loss_vfl: 0.891075 loss_bbox: 0.295751 loss_dfl: 0.201328 loss: 1.386081 eta: 3 days, 5:00:58 batch_cost: 2.3093 data_cost: 0.0018 ips: 24.2501 images/s [10/14 23:48:05] ppdet.engine INFO: Epoch: [70] [100/523] learning_rate: 0.348361 loss_vfl: 0.890347 loss_bbox: 0.301886 loss_dfl: 0.189714 loss: 1.375868 eta: 3 days, 5:00:11 batch_cost: 2.2904 data_cost: 0.0012 ips: 24.4500 images/s [10/14 23:48:54] ppdet.engine INFO: Epoch: [70] [120/523] learning_rate: 0.348307 loss_vfl: 0.890984 loss_bbox: 0.286032 loss_dfl: 0.186459 loss: 1.378677 eta: 3 days, 4:59:27 batch_cost: 2.3453 data_cost: 0.0018 ips: 23.8778 images/s [10/14 23:49:43] ppdet.engine INFO: Epoch: [70] [140/523] learning_rate: 0.348253 loss_vfl: 0.911304 loss_bbox: 0.312782 loss_dfl: 0.196721 loss: 1.419811 eta: 3 days, 4:58:40 batch_cost: 2.2972 data_cost: 0.0012 ips: 24.3773 images/s [10/14 23:50:32] ppdet.engine INFO: Epoch: [70] [160/523] learning_rate: 0.348199 loss_vfl: 0.900856 loss_bbox: 0.311125 loss_dfl: 0.195325 loss: 1.398493 eta: 3 days, 4:57:57 batch_cost: 2.3572 data_cost: 0.0012 ips: 23.7565 images/s [10/14 23:51:20] ppdet.engine INFO: Epoch: [70] [180/523] learning_rate: 0.348146 loss_vfl: 0.907978 loss_bbox: 0.306985 loss_dfl: 0.204559 loss: 1.423898 eta: 3 days, 4:57:12 batch_cost: 2.3108 data_cost: 0.0013 ips: 24.2343 images/s [10/14 23:52:09] ppdet.engine INFO: Epoch: [70] [200/523] learning_rate: 0.348092 loss_vfl: 0.884497 loss_bbox: 0.318313 loss_dfl: 0.194155 loss: 1.415067 eta: 3 days, 4:56:28 batch_cost: 2.3463 data_cost: 0.0026 ips: 23.8678 images/s [10/14 23:52:58] ppdet.engine INFO: Epoch: [70] [220/523] learning_rate: 0.348038 loss_vfl: 0.880996 loss_bbox: 0.319328 loss_dfl: 0.198205 loss: 1.383137 eta: 3 days, 4:55:44 batch_cost: 2.3331 data_cost: 0.0013 ips: 24.0025 images/s [10/14 23:53:47] ppdet.engine INFO: Epoch: [70] [240/523] learning_rate: 0.347984 loss_vfl: 0.878402 loss_bbox: 0.314658 loss_dfl: 0.194080 loss: 1.391849 eta: 3 days, 4:54:59 batch_cost: 2.3345 data_cost: 0.0027 ips: 23.9877 images/s [10/14 23:54:36] ppdet.engine INFO: Epoch: [70] [260/523] learning_rate: 0.347930 loss_vfl: 0.910586 loss_bbox: 0.284980 loss_dfl: 0.188238 loss: 1.402478 eta: 3 days, 4:54:15 batch_cost: 2.3302 data_cost: 0.0012 ips: 24.0320 images/s [10/14 23:55:25] ppdet.engine INFO: Epoch: [70] [280/523] learning_rate: 0.347876 loss_vfl: 0.889041 loss_bbox: 0.316127 loss_dfl: 0.194401 loss: 1.374514 eta: 3 days, 4:53:31 batch_cost: 2.3376 data_cost: 0.0012 ips: 23.9559 images/s [10/14 23:56:12] ppdet.engine INFO: Epoch: [70] [300/523] learning_rate: 0.347822 loss_vfl: 0.894899 loss_bbox: 0.302644 loss_dfl: 0.197250 loss: 1.415056 eta: 3 days, 4:52:43 batch_cost: 2.2806 data_cost: 0.0012 ips: 24.5549 images/s [10/14 23:57:00] ppdet.engine INFO: Epoch: [70] [320/523] learning_rate: 0.347768 loss_vfl: 0.890375 loss_bbox: 0.334001 loss_dfl: 0.199177 loss: 1.424155 eta: 3 days, 4:51:54 batch_cost: 2.2706 data_cost: 0.0018 ips: 24.6633 images/s [10/14 23:57:48] ppdet.engine INFO: Epoch: [70] [340/523] learning_rate: 0.347714 loss_vfl: 0.910129 loss_bbox: 0.308334 loss_dfl: 0.190469 loss: 1.428672 eta: 3 days, 4:51:08 batch_cost: 2.3018 data_cost: 0.0012 ips: 24.3292 images/s [10/14 23:58:36] ppdet.engine INFO: Epoch: [70] [360/523] learning_rate: 0.347660 loss_vfl: 0.917684 loss_bbox: 0.303614 loss_dfl: 0.192701 loss: 1.396595 eta: 3 days, 4:50:21 batch_cost: 2.2962 data_cost: 0.0015 ips: 24.3884 images/s [10/14 23:59:24] ppdet.engine INFO: Epoch: [70] [380/523] learning_rate: 0.347606 loss_vfl: 0.902415 loss_bbox: 0.293452 loss_dfl: 0.192680 loss: 1.404202 eta: 3 days, 4:49:34 batch_cost: 2.2934 data_cost: 0.0012 ips: 24.4183 images/s [10/15 00:00:13] ppdet.engine INFO: Epoch: [70] [400/523] learning_rate: 0.347552 loss_vfl: 0.923863 loss_bbox: 0.306602 loss_dfl: 0.192593 loss: 1.437864 eta: 3 days, 4:48:50 batch_cost: 2.3377 data_cost: 0.0012 ips: 23.9549 images/s [10/15 00:01:01] ppdet.engine INFO: Epoch: [70] [420/523] learning_rate: 0.347498 loss_vfl: 0.898532 loss_bbox: 0.320267 loss_dfl: 0.208130 loss: 1.422764 eta: 3 days, 4:48:02 batch_cost: 2.2840 data_cost: 0.0013 ips: 24.5184 images/s [10/15 00:01:49] ppdet.engine INFO: Epoch: [70] [440/523] learning_rate: 0.347444 loss_vfl: 0.918741 loss_bbox: 0.311301 loss_dfl: 0.200935 loss: 1.438843 eta: 3 days, 4:47:13 batch_cost: 2.2554 data_cost: 0.0013 ips: 24.8296 images/s [10/15 00:02:36] ppdet.engine INFO: Epoch: [70] [460/523] learning_rate: 0.347390 loss_vfl: 0.928434 loss_bbox: 0.304320 loss_dfl: 0.196699 loss: 1.433693 eta: 3 days, 4:46:24 batch_cost: 2.2610 data_cost: 0.0023 ips: 24.7677 images/s [10/15 00:03:24] ppdet.engine INFO: Epoch: [70] [480/523] learning_rate: 0.347336 loss_vfl: 0.894390 loss_bbox: 0.296118 loss_dfl: 0.190250 loss: 1.387217 eta: 3 days, 4:45:36 batch_cost: 2.2832 data_cost: 0.0012 ips: 24.5270 images/s [10/15 00:04:12] ppdet.engine INFO: Epoch: [70] [500/523] learning_rate: 0.347282 loss_vfl: 0.900699 loss_bbox: 0.300983 loss_dfl: 0.198178 loss: 1.389008 eta: 3 days, 4:44:49 batch_cost: 2.2932 data_cost: 0.0018 ips: 24.4198 images/s [10/15 00:04:53] ppdet.engine INFO: Epoch: [70] [520/523] learning_rate: 0.347228 loss_vfl: 0.901594 loss_bbox: 0.294630 loss_dfl: 0.188202 loss: 1.385570 eta: 3 days, 4:43:42 batch_cost: 1.9828 data_cost: 0.0012 ips: 28.2427 images/s [10/15 00:05:22] ppdet.engine INFO: Epoch: [71] [ 0/523] learning_rate: 0.347219 loss_vfl: 0.901594 loss_bbox: 0.294630 loss_dfl: 0.190336 loss: 1.385570 eta: 3 days, 4:44:30 batch_cost: 2.8422 data_cost: 0.6549 ips: 19.7029 images/s [10/15 00:06:15] ppdet.engine INFO: Epoch: [71] [ 20/523] learning_rate: 0.347165 loss_vfl: 0.898267 loss_bbox: 0.312611 loss_dfl: 0.201223 loss: 1.439131 eta: 3 days, 4:43:58 batch_cost: 2.5181 data_cost: 0.0016 ips: 22.2386 images/s [10/15 00:07:03] ppdet.engine INFO: Epoch: [71] [ 40/523] learning_rate: 0.347111 loss_vfl: 0.899850 loss_bbox: 0.316135 loss_dfl: 0.201608 loss: 1.394009 eta: 3 days, 4:43:13 batch_cost: 2.3299 data_cost: 0.0024 ips: 24.0357 images/s [10/15 00:07:54] ppdet.engine INFO: Epoch: [71] [ 60/523] learning_rate: 0.347057 loss_vfl: 0.892496 loss_bbox: 0.314313 loss_dfl: 0.191343 loss: 1.408731 eta: 3 days, 4:42:33 batch_cost: 2.3987 data_cost: 0.0012 ips: 23.3460 images/s [10/15 00:08:42] ppdet.engine INFO: Epoch: [71] [ 80/523] learning_rate: 0.347002 loss_vfl: 0.869054 loss_bbox: 0.300322 loss_dfl: 0.191325 loss: 1.371111 eta: 3 days, 4:41:48 batch_cost: 2.3201 data_cost: 0.0013 ips: 24.1365 images/s [10/15 00:09:31] ppdet.engine INFO: Epoch: [71] [100/523] learning_rate: 0.346948 loss_vfl: 0.904437 loss_bbox: 0.293159 loss_dfl: 0.194156 loss: 1.401178 eta: 3 days, 4:41:01 batch_cost: 2.3001 data_cost: 0.0013 ips: 24.3466 images/s [10/15 00:10:19] ppdet.engine INFO: Epoch: [71] [120/523] learning_rate: 0.346894 loss_vfl: 0.903922 loss_bbox: 0.287614 loss_dfl: 0.187909 loss: 1.393422 eta: 3 days, 4:40:16 batch_cost: 2.3202 data_cost: 0.0013 ips: 24.1357 images/s [10/15 00:11:07] ppdet.engine INFO: Epoch: [71] [140/523] learning_rate: 0.346839 loss_vfl: 0.911294 loss_bbox: 0.302103 loss_dfl: 0.196637 loss: 1.406603 eta: 3 days, 4:39:28 batch_cost: 2.2761 data_cost: 0.0013 ips: 24.6037 images/s [10/15 00:11:56] ppdet.engine INFO: Epoch: [71] [160/523] learning_rate: 0.346785 loss_vfl: 0.902125 loss_bbox: 0.296880 loss_dfl: 0.193504 loss: 1.386418 eta: 3 days, 4:38:43 batch_cost: 2.3321 data_cost: 0.0013 ips: 24.0124 images/s [10/15 00:12:45] ppdet.engine INFO: Epoch: [71] [180/523] learning_rate: 0.346731 loss_vfl: 0.893969 loss_bbox: 0.294485 loss_dfl: 0.188986 loss: 1.381513 eta: 3 days, 4:37:57 batch_cost: 2.3127 data_cost: 0.0017 ips: 24.2137 images/s [10/15 00:13:34] ppdet.engine INFO: Epoch: [71] [200/523] learning_rate: 0.346676 loss_vfl: 0.885171 loss_bbox: 0.332775 loss_dfl: 0.202627 loss: 1.409601 eta: 3 days, 4:37:12 batch_cost: 2.3166 data_cost: 0.0012 ips: 24.1738 images/s [10/15 00:14:22] ppdet.engine INFO: Epoch: [71] [220/523] learning_rate: 0.346622 loss_vfl: 0.914903 loss_bbox: 0.317477 loss_dfl: 0.201589 loss: 1.432018 eta: 3 days, 4:36:27 batch_cost: 2.3202 data_cost: 0.0012 ips: 24.1362 images/s [10/15 00:15:11] ppdet.engine INFO: Epoch: [71] [240/523] learning_rate: 0.346567 loss_vfl: 0.887468 loss_bbox: 0.320330 loss_dfl: 0.199341 loss: 1.418063 eta: 3 days, 4:35:41 batch_cost: 2.3137 data_cost: 0.0012 ips: 24.2033 images/s [10/15 00:15:59] ppdet.engine INFO: Epoch: [71] [260/523] learning_rate: 0.346513 loss_vfl: 0.893155 loss_bbox: 0.300448 loss_dfl: 0.192612 loss: 1.394035 eta: 3 days, 4:34:56 batch_cost: 2.3259 data_cost: 0.0012 ips: 24.0763 images/s [10/15 00:16:47] ppdet.engine INFO: Epoch: [71] [280/523] learning_rate: 0.346458 loss_vfl: 0.863434 loss_bbox: 0.308931 loss_dfl: 0.199825 loss: 1.367646 eta: 3 days, 4:34:09 batch_cost: 2.3018 data_cost: 0.0013 ips: 24.3293 images/s [10/15 00:17:37] ppdet.engine INFO: Epoch: [71] [300/523] learning_rate: 0.346404 loss_vfl: 0.915089 loss_bbox: 0.282856 loss_dfl: 0.188293 loss: 1.402793 eta: 3 days, 4:33:26 batch_cost: 2.3556 data_cost: 0.0013 ips: 23.7728 images/s [10/15 00:18:23] ppdet.engine INFO: Epoch: [71] [320/523] learning_rate: 0.346349 loss_vfl: 0.907773 loss_bbox: 0.311489 loss_dfl: 0.200339 loss: 1.416730 eta: 3 days, 4:32:32 batch_cost: 2.1784 data_cost: 0.0013 ips: 25.7065 images/s [10/15 00:19:10] ppdet.engine INFO: Epoch: [71] [340/523] learning_rate: 0.346294 loss_vfl: 0.894094 loss_bbox: 0.302450 loss_dfl: 0.193773 loss: 1.411006 eta: 3 days, 4:31:43 batch_cost: 2.2670 data_cost: 0.0025 ips: 24.7024 images/s [10/15 00:19:59] ppdet.engine INFO: Epoch: [71] [360/523] learning_rate: 0.346240 loss_vfl: 0.915248 loss_bbox: 0.318924 loss_dfl: 0.197940 loss: 1.450992 eta: 3 days, 4:30:58 batch_cost: 2.3167 data_cost: 0.0012 ips: 24.1727 images/s [10/15 00:20:47] ppdet.engine INFO: Epoch: [71] [380/523] learning_rate: 0.346185 loss_vfl: 0.915034 loss_bbox: 0.314188 loss_dfl: 0.204579 loss: 1.431520 eta: 3 days, 4:30:11 batch_cost: 2.2892 data_cost: 0.0021 ips: 24.4627 images/s [10/15 00:21:35] ppdet.engine INFO: Epoch: [71] [400/523] learning_rate: 0.346130 loss_vfl: 0.893763 loss_bbox: 0.307574 loss_dfl: 0.196003 loss: 1.405350 eta: 3 days, 4:29:23 batch_cost: 2.2878 data_cost: 0.0012 ips: 24.4775 images/s [10/15 00:22:23] ppdet.engine INFO: Epoch: [71] [420/523] learning_rate: 0.346076 loss_vfl: 0.907504 loss_bbox: 0.325925 loss_dfl: 0.203822 loss: 1.407059 eta: 3 days, 4:28:38 batch_cost: 2.3139 data_cost: 0.0013 ips: 24.2014 images/s [10/15 00:23:11] ppdet.engine INFO: Epoch: [71] [440/523] learning_rate: 0.346021 loss_vfl: 0.912629 loss_bbox: 0.338829 loss_dfl: 0.209705 loss: 1.438885 eta: 3 days, 4:27:49 batch_cost: 2.2677 data_cost: 0.0013 ips: 24.6950 images/s [10/15 00:24:00] ppdet.engine INFO: Epoch: [71] [460/523] learning_rate: 0.345966 loss_vfl: 0.906199 loss_bbox: 0.320174 loss_dfl: 0.202385 loss: 1.430350 eta: 3 days, 4:27:05 batch_cost: 2.3387 data_cost: 0.0012 ips: 23.9451 images/s [10/15 00:24:48] ppdet.engine INFO: Epoch: [71] [480/523] learning_rate: 0.345912 loss_vfl: 0.913597 loss_bbox: 0.316840 loss_dfl: 0.200772 loss: 1.406744 eta: 3 days, 4:26:18 batch_cost: 2.2914 data_cost: 0.0013 ips: 24.4396 images/s [10/15 00:25:35] ppdet.engine INFO: Epoch: [71] [500/523] learning_rate: 0.345857 loss_vfl: 0.921717 loss_bbox: 0.273849 loss_dfl: 0.180341 loss: 1.382091 eta: 3 days, 4:25:29 batch_cost: 2.2615 data_cost: 0.0012 ips: 24.7618 images/s [10/15 00:26:17] ppdet.engine INFO: Epoch: [71] [520/523] learning_rate: 0.345802 loss_vfl: 0.923953 loss_bbox: 0.312329 loss_dfl: 0.197478 loss: 1.443327 eta: 3 days, 4:24:22 batch_cost: 1.9835 data_cost: 0.0012 ips: 28.2332 images/s [10/15 00:26:47] ppdet.engine INFO: Epoch: [72] [ 0/523] learning_rate: 0.345794 loss_vfl: 0.931391 loss_bbox: 0.311994 loss_dfl: 0.194837 loss: 1.437243 eta: 3 days, 4:25:17 batch_cost: 2.9802 data_cost: 0.7770 ips: 18.7907 images/s [10/15 00:27:37] ppdet.engine INFO: Epoch: [72] [ 20/523] learning_rate: 0.345739 loss_vfl: 0.911229 loss_bbox: 0.313932 loss_dfl: 0.208364 loss: 1.415380 eta: 3 days, 4:24:35 batch_cost: 2.3664 data_cost: 0.0013 ips: 23.6648 images/s [10/15 00:28:29] ppdet.engine INFO: Epoch: [72] [ 40/523] learning_rate: 0.345684 loss_vfl: 0.894324 loss_bbox: 0.314116 loss_dfl: 0.199847 loss: 1.413494 eta: 3 days, 4:24:00 batch_cost: 2.4825 data_cost: 0.0041 ips: 22.5577 images/s [10/15 00:29:18] ppdet.engine INFO: Epoch: [72] [ 60/523] learning_rate: 0.345629 loss_vfl: 0.907135 loss_bbox: 0.293911 loss_dfl: 0.185442 loss: 1.381101 eta: 3 days, 4:23:14 batch_cost: 2.3148 data_cost: 0.0013 ips: 24.1918 images/s [10/15 00:30:07] ppdet.engine INFO: Epoch: [72] [ 80/523] learning_rate: 0.345574 loss_vfl: 0.905667 loss_bbox: 0.314581 loss_dfl: 0.202606 loss: 1.410135 eta: 3 days, 4:22:31 batch_cost: 2.3540 data_cost: 0.0012 ips: 23.7892 images/s [10/15 00:30:55] ppdet.engine INFO: Epoch: [72] [100/523] learning_rate: 0.345519 loss_vfl: 0.879319 loss_bbox: 0.309392 loss_dfl: 0.203633 loss: 1.395479 eta: 3 days, 4:21:43 batch_cost: 2.2845 data_cost: 0.0012 ips: 24.5128 images/s [10/15 00:31:43] ppdet.engine INFO: Epoch: [72] [120/523] learning_rate: 0.345464 loss_vfl: 0.892114 loss_bbox: 0.313022 loss_dfl: 0.204983 loss: 1.398602 eta: 3 days, 4:20:55 batch_cost: 2.2793 data_cost: 0.0013 ips: 24.5686 images/s [10/15 00:32:31] ppdet.engine INFO: Epoch: [72] [140/523] learning_rate: 0.345409 loss_vfl: 0.896203 loss_bbox: 0.315766 loss_dfl: 0.201258 loss: 1.434621 eta: 3 days, 4:20:09 batch_cost: 2.3079 data_cost: 0.0013 ips: 24.2648 images/s [10/15 00:33:20] ppdet.engine INFO: Epoch: [72] [160/523] learning_rate: 0.345354 loss_vfl: 0.906281 loss_bbox: 0.315069 loss_dfl: 0.191814 loss: 1.403654 eta: 3 days, 4:19:24 batch_cost: 2.3198 data_cost: 0.0013 ips: 24.1396 images/s [10/15 00:34:07] ppdet.engine INFO: Epoch: [72] [180/523] learning_rate: 0.345299 loss_vfl: 0.894407 loss_bbox: 0.312620 loss_dfl: 0.195771 loss: 1.400591 eta: 3 days, 4:18:33 batch_cost: 2.2231 data_cost: 0.0014 ips: 25.1899 images/s [10/15 00:34:54] ppdet.engine INFO: Epoch: [72] [200/523] learning_rate: 0.345244 loss_vfl: 0.899892 loss_bbox: 0.311419 loss_dfl: 0.198381 loss: 1.401771 eta: 3 days, 4:17:44 batch_cost: 2.2737 data_cost: 0.0012 ips: 24.6297 images/s [10/15 00:35:42] ppdet.engine INFO: Epoch: [72] [220/523] learning_rate: 0.345189 loss_vfl: 0.901534 loss_bbox: 0.309923 loss_dfl: 0.198448 loss: 1.426951 eta: 3 days, 4:16:55 batch_cost: 2.2632 data_cost: 0.0051 ips: 24.7436 images/s [10/15 00:36:31] ppdet.engine INFO: Epoch: [72] [240/523] learning_rate: 0.345134 loss_vfl: 0.886270 loss_bbox: 0.291306 loss_dfl: 0.192508 loss: 1.370711 eta: 3 days, 4:16:11 batch_cost: 2.3382 data_cost: 0.0013 ips: 23.9499 images/s [10/15 00:37:19] ppdet.engine INFO: Epoch: [72] [260/523] learning_rate: 0.345079 loss_vfl: 0.908226 loss_bbox: 0.317516 loss_dfl: 0.203364 loss: 1.439626 eta: 3 days, 4:15:27 batch_cost: 2.3322 data_cost: 0.0025 ips: 24.0120 images/s [10/15 00:38:07] ppdet.engine INFO: Epoch: [72] [280/523] learning_rate: 0.345024 loss_vfl: 0.878681 loss_bbox: 0.324570 loss_dfl: 0.207533 loss: 1.384620 eta: 3 days, 4:14:38 batch_cost: 2.2735 data_cost: 0.0013 ips: 24.6321 images/s [10/15 00:38:54] ppdet.engine INFO: Epoch: [72] [300/523] learning_rate: 0.344969 loss_vfl: 0.916697 loss_bbox: 0.317443 loss_dfl: 0.199064 loss: 1.426219 eta: 3 days, 4:13:47 batch_cost: 2.2296 data_cost: 0.0014 ips: 25.1165 images/s [10/15 00:39:41] ppdet.engine INFO: Epoch: [72] [320/523] learning_rate: 0.344914 loss_vfl: 0.891940 loss_bbox: 0.301756 loss_dfl: 0.194515 loss: 1.384853 eta: 3 days, 4:12:55 batch_cost: 2.2063 data_cost: 0.0013 ips: 25.3818 images/s [10/15 00:40:28] ppdet.engine INFO: Epoch: [72] [340/523] learning_rate: 0.344858 loss_vfl: 0.888468 loss_bbox: 0.305069 loss_dfl: 0.192395 loss: 1.393439 eta: 3 days, 4:12:04 batch_cost: 2.2340 data_cost: 0.0013 ips: 25.0676 images/s [10/15 00:41:15] ppdet.engine INFO: Epoch: [72] [360/523] learning_rate: 0.344803 loss_vfl: 0.902551 loss_bbox: 0.299279 loss_dfl: 0.192474 loss: 1.396952 eta: 3 days, 4:11:15 batch_cost: 2.2629 data_cost: 0.0013 ips: 24.7473 images/s [10/15 00:42:03] ppdet.engine INFO: Epoch: [72] [380/523] learning_rate: 0.344748 loss_vfl: 0.929643 loss_bbox: 0.301766 loss_dfl: 0.194333 loss: 1.427284 eta: 3 days, 4:10:26 batch_cost: 2.2635 data_cost: 0.0013 ips: 24.7407 images/s [10/15 00:42:51] ppdet.engine INFO: Epoch: [72] [400/523] learning_rate: 0.344693 loss_vfl: 0.896746 loss_bbox: 0.288627 loss_dfl: 0.196434 loss: 1.370961 eta: 3 days, 4:09:39 batch_cost: 2.2878 data_cost: 0.0013 ips: 24.4778 images/s [10/15 00:43:38] ppdet.engine INFO: Epoch: [72] [420/523] learning_rate: 0.344637 loss_vfl: 0.919988 loss_bbox: 0.303085 loss_dfl: 0.189608 loss: 1.409511 eta: 3 days, 4:08:50 batch_cost: 2.2552 data_cost: 0.0012 ips: 24.8320 images/s [10/15 00:44:26] ppdet.engine INFO: Epoch: [72] [440/523] learning_rate: 0.344582 loss_vfl: 0.897413 loss_bbox: 0.322593 loss_dfl: 0.201512 loss: 1.428484 eta: 3 days, 4:08:03 batch_cost: 2.2937 data_cost: 0.0014 ips: 24.4144 images/s [10/15 00:45:15] ppdet.engine INFO: Epoch: [72] [460/523] learning_rate: 0.344527 loss_vfl: 0.898609 loss_bbox: 0.303363 loss_dfl: 0.195451 loss: 1.395509 eta: 3 days, 4:07:18 batch_cost: 2.3237 data_cost: 0.0013 ips: 24.0999 images/s [10/15 00:46:03] ppdet.engine INFO: Epoch: [72] [480/523] learning_rate: 0.344471 loss_vfl: 0.888005 loss_bbox: 0.308907 loss_dfl: 0.199996 loss: 1.417602 eta: 3 days, 4:06:31 batch_cost: 2.2961 data_cost: 0.0013 ips: 24.3888 images/s [10/15 00:46:51] ppdet.engine INFO: Epoch: [72] [500/523] learning_rate: 0.344416 loss_vfl: 0.909165 loss_bbox: 0.303444 loss_dfl: 0.197265 loss: 1.384038 eta: 3 days, 4:05:43 batch_cost: 2.2832 data_cost: 0.0013 ips: 24.5266 images/s [10/15 00:47:34] ppdet.engine INFO: Epoch: [72] [520/523] learning_rate: 0.344360 loss_vfl: 0.899118 loss_bbox: 0.297357 loss_dfl: 0.194589 loss: 1.396298 eta: 3 days, 4:04:40 batch_cost: 2.0394 data_cost: 0.0012 ips: 27.4586 images/s [10/15 00:48:03] ppdet.engine INFO: Epoch: [73] [ 0/523] learning_rate: 0.344352 loss_vfl: 0.904569 loss_bbox: 0.290458 loss_dfl: 0.192353 loss: 1.400345 eta: 3 days, 4:05:30 batch_cost: 2.9419 data_cost: 0.5934 ips: 19.0354 images/s [10/15 00:48:54] ppdet.engine INFO: Epoch: [73] [ 20/523] learning_rate: 0.344297 loss_vfl: 0.890430 loss_bbox: 0.302834 loss_dfl: 0.185852 loss: 1.356559 eta: 3 days, 4:04:50 batch_cost: 2.4048 data_cost: 0.0015 ips: 23.2865 images/s [10/15 00:49:43] ppdet.engine INFO: Epoch: [73] [ 40/523] learning_rate: 0.344241 loss_vfl: 0.884507 loss_bbox: 0.280250 loss_dfl: 0.187033 loss: 1.387474 eta: 3 days, 4:04:05 batch_cost: 2.3204 data_cost: 0.0017 ips: 24.1337 images/s [10/15 00:50:32] ppdet.engine INFO: Epoch: [73] [ 60/523] learning_rate: 0.344186 loss_vfl: 0.899360 loss_bbox: 0.300600 loss_dfl: 0.192649 loss: 1.400476 eta: 3 days, 4:03:22 batch_cost: 2.3661 data_cost: 0.0021 ips: 23.6676 images/s [10/15 00:51:22] ppdet.engine INFO: Epoch: [73] [ 80/523] learning_rate: 0.344130 loss_vfl: 0.881680 loss_bbox: 0.322159 loss_dfl: 0.203265 loss: 1.394371 eta: 3 days, 4:02:41 batch_cost: 2.3905 data_cost: 0.0016 ips: 23.4258 images/s [10/15 00:52:11] ppdet.engine INFO: Epoch: [73] [100/523] learning_rate: 0.344075 loss_vfl: 0.897530 loss_bbox: 0.305430 loss_dfl: 0.197482 loss: 1.410298 eta: 3 days, 4:01:56 batch_cost: 2.3302 data_cost: 0.0014 ips: 24.0320 images/s [10/15 00:52:58] ppdet.engine INFO: Epoch: [73] [120/523] learning_rate: 0.344019 loss_vfl: 0.896419 loss_bbox: 0.303129 loss_dfl: 0.192840 loss: 1.394785 eta: 3 days, 4:01:07 batch_cost: 2.2605 data_cost: 0.0014 ips: 24.7731 images/s [10/15 00:53:47] ppdet.engine INFO: Epoch: [73] [140/523] learning_rate: 0.343963 loss_vfl: 0.872759 loss_bbox: 0.302287 loss_dfl: 0.190647 loss: 1.386700 eta: 3 days, 4:00:23 batch_cost: 2.3318 data_cost: 0.0013 ips: 24.0157 images/s [10/15 00:54:35] ppdet.engine INFO: Epoch: [73] [160/523] learning_rate: 0.343908 loss_vfl: 0.899644 loss_bbox: 0.305990 loss_dfl: 0.193520 loss: 1.395158 eta: 3 days, 3:59:38 batch_cost: 2.3261 data_cost: 0.0013 ips: 24.0745 images/s [10/15 00:55:24] ppdet.engine INFO: Epoch: [73] [180/523] learning_rate: 0.343852 loss_vfl: 0.890677 loss_bbox: 0.305130 loss_dfl: 0.196332 loss: 1.390080 eta: 3 days, 3:58:51 batch_cost: 2.2962 data_cost: 0.0016 ips: 24.3881 images/s [10/15 00:56:10] ppdet.engine INFO: Epoch: [73] [200/523] learning_rate: 0.343797 loss_vfl: 0.894091 loss_bbox: 0.302407 loss_dfl: 0.196137 loss: 1.395953 eta: 3 days, 3:57:59 batch_cost: 2.2125 data_cost: 0.0013 ips: 25.3104 images/s [10/15 00:56:58] ppdet.engine INFO: Epoch: [73] [220/523] learning_rate: 0.343741 loss_vfl: 0.904210 loss_bbox: 0.318834 loss_dfl: 0.199546 loss: 1.437721 eta: 3 days, 3:57:12 batch_cost: 2.3044 data_cost: 0.0013 ips: 24.3018 images/s [10/15 00:57:47] ppdet.engine INFO: Epoch: [73] [240/523] learning_rate: 0.343685 loss_vfl: 0.898007 loss_bbox: 0.305161 loss_dfl: 0.198075 loss: 1.403916 eta: 3 days, 3:56:27 batch_cost: 2.3225 data_cost: 0.0014 ips: 24.1124 images/s [10/15 00:58:36] ppdet.engine INFO: Epoch: [73] [260/523] learning_rate: 0.343629 loss_vfl: 0.907974 loss_bbox: 0.293464 loss_dfl: 0.183345 loss: 1.402335 eta: 3 days, 3:55:44 batch_cost: 2.3484 data_cost: 0.0014 ips: 23.8462 images/s [10/15 00:59:24] ppdet.engine INFO: Epoch: [73] [280/523] learning_rate: 0.343574 loss_vfl: 0.897248 loss_bbox: 0.323072 loss_dfl: 0.207059 loss: 1.426660 eta: 3 days, 3:54:57 batch_cost: 2.2958 data_cost: 0.0013 ips: 24.3925 images/s [10/15 01:00:12] ppdet.engine INFO: Epoch: [73] [300/523] learning_rate: 0.343518 loss_vfl: 0.918129 loss_bbox: 0.317412 loss_dfl: 0.201778 loss: 1.423222 eta: 3 days, 3:54:08 batch_cost: 2.2644 data_cost: 0.0015 ips: 24.7305 images/s [10/15 01:01:00] ppdet.engine INFO: Epoch: [73] [320/523] learning_rate: 0.343462 loss_vfl: 0.895511 loss_bbox: 0.301277 loss_dfl: 0.196031 loss: 1.390930 eta: 3 days, 3:53:21 batch_cost: 2.3015 data_cost: 0.0013 ips: 24.3318 images/s [10/15 01:01:48] ppdet.engine INFO: Epoch: [73] [340/523] learning_rate: 0.343406 loss_vfl: 0.900799 loss_bbox: 0.309264 loss_dfl: 0.194308 loss: 1.398184 eta: 3 days, 3:52:34 batch_cost: 2.2846 data_cost: 0.0015 ips: 24.5124 images/s [10/15 01:02:39] ppdet.engine INFO: Epoch: [73] [360/523] learning_rate: 0.343350 loss_vfl: 0.909011 loss_bbox: 0.300317 loss_dfl: 0.194116 loss: 1.417751 eta: 3 days, 3:51:56 batch_cost: 2.4375 data_cost: 0.0019 ips: 22.9747 images/s [10/15 01:03:27] ppdet.engine INFO: Epoch: [73] [380/523] learning_rate: 0.343295 loss_vfl: 0.897303 loss_bbox: 0.283257 loss_dfl: 0.186445 loss: 1.359138 eta: 3 days, 3:51:10 batch_cost: 2.3088 data_cost: 0.0023 ips: 24.2546 images/s [10/15 01:04:15] ppdet.engine INFO: Epoch: [73] [400/523] learning_rate: 0.343239 loss_vfl: 0.905834 loss_bbox: 0.307953 loss_dfl: 0.197720 loss: 1.407747 eta: 3 days, 3:50:22 batch_cost: 2.2860 data_cost: 0.0013 ips: 24.4971 images/s [10/15 01:05:05] ppdet.engine INFO: Epoch: [73] [420/523] learning_rate: 0.343183 loss_vfl: 0.892485 loss_bbox: 0.295281 loss_dfl: 0.186883 loss: 1.361668 eta: 3 days, 3:49:39 batch_cost: 2.3584 data_cost: 0.0014 ips: 23.7447 images/s [10/15 01:05:52] ppdet.engine INFO: Epoch: [73] [440/523] learning_rate: 0.343127 loss_vfl: 0.922210 loss_bbox: 0.291262 loss_dfl: 0.189557 loss: 1.420957 eta: 3 days, 3:48:50 batch_cost: 2.2575 data_cost: 0.0014 ips: 24.8057 images/s [10/15 01:06:39] ppdet.engine INFO: Epoch: [73] [460/523] learning_rate: 0.343071 loss_vfl: 0.898143 loss_bbox: 0.298081 loss_dfl: 0.191713 loss: 1.400704 eta: 3 days, 3:47:59 batch_cost: 2.2294 data_cost: 0.0013 ips: 25.1189 images/s [10/15 01:07:26] ppdet.engine INFO: Epoch: [73] [480/523] learning_rate: 0.343015 loss_vfl: 0.891388 loss_bbox: 0.306949 loss_dfl: 0.193850 loss: 1.396559 eta: 3 days, 3:47:11 batch_cost: 2.2828 data_cost: 0.0013 ips: 24.5309 images/s [10/15 01:08:13] ppdet.engine INFO: Epoch: [73] [500/523] learning_rate: 0.342959 loss_vfl: 0.898627 loss_bbox: 0.307871 loss_dfl: 0.197047 loss: 1.404902 eta: 3 days, 3:46:19 batch_cost: 2.2084 data_cost: 0.0013 ips: 25.3580 images/s [10/15 01:08:57] ppdet.engine INFO: Epoch: [73] [520/523] learning_rate: 0.342903 loss_vfl: 0.896728 loss_bbox: 0.310287 loss_dfl: 0.193288 loss: 1.401543 eta: 3 days, 3:45:19 batch_cost: 2.0816 data_cost: 0.0012 ips: 26.9027 images/s [10/15 01:09:28] ppdet.engine INFO: Epoch: [74] [ 0/523] learning_rate: 0.342895 loss_vfl: 0.892483 loss_bbox: 0.312400 loss_dfl: 0.200868 loss: 1.417450 eta: 3 days, 3:46:11 batch_cost: 3.0613 data_cost: 0.5418 ips: 18.2928 images/s [10/15 01:10:16] ppdet.engine INFO: Epoch: [74] [ 20/523] learning_rate: 0.342838 loss_vfl: 0.887186 loss_bbox: 0.302024 loss_dfl: 0.194173 loss: 1.382144 eta: 3 days, 3:45:22 batch_cost: 2.2564 data_cost: 0.0023 ips: 24.8181 images/s [10/15 01:11:05] ppdet.engine INFO: Epoch: [74] [ 40/523] learning_rate: 0.342782 loss_vfl: 0.878987 loss_bbox: 0.307392 loss_dfl: 0.202738 loss: 1.407812 eta: 3 days, 3:44:38 batch_cost: 2.3450 data_cost: 0.0017 ips: 23.8806 images/s [10/15 01:11:54] ppdet.engine INFO: Epoch: [74] [ 60/523] learning_rate: 0.342726 loss_vfl: 0.894702 loss_bbox: 0.292893 loss_dfl: 0.189134 loss: 1.409081 eta: 3 days, 3:43:54 batch_cost: 2.3396 data_cost: 0.0015 ips: 23.9357 images/s [10/15 01:12:43] ppdet.engine INFO: Epoch: [74] [ 80/523] learning_rate: 0.342670 loss_vfl: 0.883304 loss_bbox: 0.295153 loss_dfl: 0.191174 loss: 1.383955 eta: 3 days, 3:43:10 batch_cost: 2.3499 data_cost: 0.0014 ips: 23.8311 images/s [10/15 01:13:31] ppdet.engine INFO: Epoch: [74] [100/523] learning_rate: 0.342614 loss_vfl: 0.891617 loss_bbox: 0.303450 loss_dfl: 0.192407 loss: 1.407967 eta: 3 days, 3:42:24 batch_cost: 2.2956 data_cost: 0.0014 ips: 24.3940 images/s [10/15 01:14:18] ppdet.engine INFO: Epoch: [74] [120/523] learning_rate: 0.342558 loss_vfl: 0.896491 loss_bbox: 0.293767 loss_dfl: 0.187466 loss: 1.399613 eta: 3 days, 3:41:34 batch_cost: 2.2562 data_cost: 0.0013 ips: 24.8206 images/s [10/15 01:15:08] ppdet.engine INFO: Epoch: [74] [140/523] learning_rate: 0.342502 loss_vfl: 0.902838 loss_bbox: 0.296568 loss_dfl: 0.189746 loss: 1.372344 eta: 3 days, 3:40:50 batch_cost: 2.3413 data_cost: 0.0014 ips: 23.9184 images/s [10/15 01:15:56] ppdet.engine INFO: Epoch: [74] [160/523] learning_rate: 0.342446 loss_vfl: 0.882802 loss_bbox: 0.345423 loss_dfl: 0.206085 loss: 1.432930 eta: 3 days, 3:40:04 batch_cost: 2.3145 data_cost: 0.0020 ips: 24.1951 images/s [10/15 01:16:45] ppdet.engine INFO: Epoch: [74] [180/523] learning_rate: 0.342389 loss_vfl: 0.896812 loss_bbox: 0.300340 loss_dfl: 0.193991 loss: 1.381843 eta: 3 days, 3:39:19 batch_cost: 2.3261 data_cost: 0.0013 ips: 24.0743 images/s [10/15 01:17:35] ppdet.engine INFO: Epoch: [74] [200/523] learning_rate: 0.342333 loss_vfl: 0.896486 loss_bbox: 0.296969 loss_dfl: 0.192836 loss: 1.396423 eta: 3 days, 3:38:38 batch_cost: 2.3898 data_cost: 0.0014 ips: 23.4331 images/s [10/15 01:18:24] ppdet.engine INFO: Epoch: [74] [220/523] learning_rate: 0.342277 loss_vfl: 0.906076 loss_bbox: 0.296405 loss_dfl: 0.193083 loss: 1.413231 eta: 3 days, 3:37:50 batch_cost: 2.2712 data_cost: 0.0014 ips: 24.6562 images/s [10/15 01:19:12] ppdet.engine INFO: Epoch: [74] [240/523] learning_rate: 0.342220 loss_vfl: 0.891155 loss_bbox: 0.302063 loss_dfl: 0.194842 loss: 1.392500 eta: 3 days, 3:37:05 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1146 images/s [10/15 01:19:59] ppdet.engine INFO: Epoch: [74] [260/523] learning_rate: 0.342164 loss_vfl: 0.896248 loss_bbox: 0.306021 loss_dfl: 0.191081 loss: 1.386225 eta: 3 days, 3:36:15 batch_cost: 2.2484 data_cost: 0.0013 ips: 24.9062 images/s [10/15 01:20:48] ppdet.engine INFO: Epoch: [74] [280/523] learning_rate: 0.342108 loss_vfl: 0.899667 loss_bbox: 0.300850 loss_dfl: 0.191044 loss: 1.389531 eta: 3 days, 3:35:31 batch_cost: 2.3391 data_cost: 0.0012 ips: 23.9410 images/s [10/15 01:21:36] ppdet.engine INFO: Epoch: [74] [300/523] learning_rate: 0.342051 loss_vfl: 0.899252 loss_bbox: 0.305685 loss_dfl: 0.200786 loss: 1.411810 eta: 3 days, 3:34:42 batch_cost: 2.2636 data_cost: 0.0012 ips: 24.7390 images/s [10/15 01:22:23] ppdet.engine INFO: Epoch: [74] [320/523] learning_rate: 0.341995 loss_vfl: 0.890892 loss_bbox: 0.308671 loss_dfl: 0.201211 loss: 1.400528 eta: 3 days, 3:33:52 batch_cost: 2.2497 data_cost: 0.0016 ips: 24.8919 images/s [10/15 01:23:11] ppdet.engine INFO: Epoch: [74] [340/523] learning_rate: 0.341939 loss_vfl: 0.901794 loss_bbox: 0.313373 loss_dfl: 0.203035 loss: 1.418925 eta: 3 days, 3:33:05 batch_cost: 2.2908 data_cost: 0.0013 ips: 24.4452 images/s [10/15 01:23:59] ppdet.engine INFO: Epoch: [74] [360/523] learning_rate: 0.341882 loss_vfl: 0.915475 loss_bbox: 0.300761 loss_dfl: 0.195976 loss: 1.403188 eta: 3 days, 3:32:18 batch_cost: 2.2956 data_cost: 0.0014 ips: 24.3950 images/s [10/15 01:24:47] ppdet.engine INFO: Epoch: [74] [380/523] learning_rate: 0.341826 loss_vfl: 0.906364 loss_bbox: 0.317677 loss_dfl: 0.200535 loss: 1.400142 eta: 3 days, 3:31:29 batch_cost: 2.2637 data_cost: 0.0013 ips: 24.7380 images/s [10/15 01:25:35] ppdet.engine INFO: Epoch: [74] [400/523] learning_rate: 0.341769 loss_vfl: 0.883424 loss_bbox: 0.314268 loss_dfl: 0.195886 loss: 1.407554 eta: 3 days, 3:30:44 batch_cost: 2.3244 data_cost: 0.0014 ips: 24.0922 images/s [10/15 01:26:24] ppdet.engine INFO: Epoch: [74] [420/523] learning_rate: 0.341713 loss_vfl: 0.893181 loss_bbox: 0.322234 loss_dfl: 0.199018 loss: 1.393820 eta: 3 days, 3:29:58 batch_cost: 2.3015 data_cost: 0.0015 ips: 24.3319 images/s [10/15 01:27:12] ppdet.engine INFO: Epoch: [74] [440/523] learning_rate: 0.341656 loss_vfl: 0.891366 loss_bbox: 0.300279 loss_dfl: 0.192024 loss: 1.394942 eta: 3 days, 3:29:11 batch_cost: 2.3073 data_cost: 0.0014 ips: 24.2709 images/s [10/15 01:28:01] ppdet.engine INFO: Epoch: [74] [460/523] learning_rate: 0.341600 loss_vfl: 0.907123 loss_bbox: 0.308980 loss_dfl: 0.203622 loss: 1.409530 eta: 3 days, 3:28:29 batch_cost: 2.3665 data_cost: 0.0013 ips: 23.6634 images/s [10/15 01:28:51] ppdet.engine INFO: Epoch: [74] [480/523] learning_rate: 0.341543 loss_vfl: 0.916205 loss_bbox: 0.311024 loss_dfl: 0.195924 loss: 1.422256 eta: 3 days, 3:27:46 batch_cost: 2.3662 data_cost: 0.0013 ips: 23.6667 images/s [10/15 01:29:39] ppdet.engine INFO: Epoch: [74] [500/523] learning_rate: 0.341486 loss_vfl: 0.909918 loss_bbox: 0.314527 loss_dfl: 0.200341 loss: 1.430920 eta: 3 days, 3:27:00 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2053 images/s [10/15 01:30:22] ppdet.engine INFO: Epoch: [74] [520/523] learning_rate: 0.341430 loss_vfl: 0.902992 loss_bbox: 0.320942 loss_dfl: 0.207373 loss: 1.435171 eta: 3 days, 3:25:58 batch_cost: 2.0416 data_cost: 0.0013 ips: 27.4300 images/s [10/15 01:30:53] ppdet.engine INFO: Epoch: [75] [ 0/523] learning_rate: 0.341421 loss_vfl: 0.903945 loss_bbox: 0.315233 loss_dfl: 0.203404 loss: 1.420514 eta: 3 days, 3:26:51 batch_cost: 3.0415 data_cost: 0.4315 ips: 18.4118 images/s [10/15 01:31:43] ppdet.engine INFO: Epoch: [75] [ 20/523] learning_rate: 0.341365 loss_vfl: 0.883891 loss_bbox: 0.310091 loss_dfl: 0.192733 loss: 1.379911 eta: 3 days, 3:26:07 batch_cost: 2.3330 data_cost: 0.0017 ips: 24.0032 images/s [10/15 01:32:31] ppdet.engine INFO: Epoch: [75] [ 40/523] learning_rate: 0.341308 loss_vfl: 0.881272 loss_bbox: 0.297802 loss_dfl: 0.196538 loss: 1.375086 eta: 3 days, 3:25:22 batch_cost: 2.3325 data_cost: 0.0015 ips: 24.0086 images/s [10/15 01:33:20] ppdet.engine INFO: Epoch: [75] [ 60/523] learning_rate: 0.341251 loss_vfl: 0.901973 loss_bbox: 0.292251 loss_dfl: 0.193695 loss: 1.371340 eta: 3 days, 3:24:36 batch_cost: 2.3064 data_cost: 0.0014 ips: 24.2800 images/s [10/15 01:34:08] ppdet.engine INFO: Epoch: [75] [ 80/523] learning_rate: 0.341195 loss_vfl: 0.870596 loss_bbox: 0.325434 loss_dfl: 0.199802 loss: 1.397941 eta: 3 days, 3:23:50 batch_cost: 2.3140 data_cost: 0.0013 ips: 24.2010 images/s [10/15 01:34:57] ppdet.engine INFO: Epoch: [75] [100/523] learning_rate: 0.341138 loss_vfl: 0.911160 loss_bbox: 0.290225 loss_dfl: 0.188946 loss: 1.408853 eta: 3 days, 3:23:04 batch_cost: 2.3171 data_cost: 0.0013 ips: 24.1679 images/s [10/15 01:35:47] ppdet.engine INFO: Epoch: [75] [120/523] learning_rate: 0.341081 loss_vfl: 0.892907 loss_bbox: 0.276655 loss_dfl: 0.185972 loss: 1.357284 eta: 3 days, 3:22:22 batch_cost: 2.3659 data_cost: 0.0014 ips: 23.6691 images/s [10/15 01:36:36] ppdet.engine INFO: Epoch: [75] [140/523] learning_rate: 0.341024 loss_vfl: 0.897561 loss_bbox: 0.318786 loss_dfl: 0.206355 loss: 1.428373 eta: 3 days, 3:21:39 batch_cost: 2.3614 data_cost: 0.0013 ips: 23.7146 images/s [10/15 01:37:26] ppdet.engine INFO: Epoch: [75] [160/523] learning_rate: 0.340968 loss_vfl: 0.889749 loss_bbox: 0.318623 loss_dfl: 0.201987 loss: 1.407835 eta: 3 days, 3:20:57 batch_cost: 2.3938 data_cost: 0.0013 ips: 23.3941 images/s [10/15 01:38:17] ppdet.engine INFO: Epoch: [75] [180/523] learning_rate: 0.340911 loss_vfl: 0.874098 loss_bbox: 0.326632 loss_dfl: 0.206539 loss: 1.429089 eta: 3 days, 3:20:20 batch_cost: 2.4560 data_cost: 0.0023 ips: 22.8014 images/s [10/15 01:39:05] ppdet.engine INFO: Epoch: [75] [200/523] learning_rate: 0.340854 loss_vfl: 0.900239 loss_bbox: 0.326432 loss_dfl: 0.201050 loss: 1.430886 eta: 3 days, 3:19:32 batch_cost: 2.2742 data_cost: 0.0013 ips: 24.6243 images/s [10/15 01:39:54] ppdet.engine INFO: Epoch: [75] [220/523] learning_rate: 0.340797 loss_vfl: 0.906753 loss_bbox: 0.304979 loss_dfl: 0.194735 loss: 1.395470 eta: 3 days, 3:18:45 batch_cost: 2.3040 data_cost: 0.0013 ips: 24.3053 images/s [10/15 01:40:41] ppdet.engine INFO: Epoch: [75] [240/523] learning_rate: 0.340740 loss_vfl: 0.902402 loss_bbox: 0.299859 loss_dfl: 0.187050 loss: 1.392400 eta: 3 days, 3:17:57 batch_cost: 2.2726 data_cost: 0.0013 ips: 24.6412 images/s [10/15 01:41:28] ppdet.engine INFO: Epoch: [75] [260/523] learning_rate: 0.340683 loss_vfl: 0.885572 loss_bbox: 0.306055 loss_dfl: 0.194041 loss: 1.404849 eta: 3 days, 3:17:07 batch_cost: 2.2360 data_cost: 0.0013 ips: 25.0450 images/s [10/15 01:42:16] ppdet.engine INFO: Epoch: [75] [280/523] learning_rate: 0.340626 loss_vfl: 0.910392 loss_bbox: 0.297691 loss_dfl: 0.190396 loss: 1.394640 eta: 3 days, 3:16:18 batch_cost: 2.2658 data_cost: 0.0014 ips: 24.7154 images/s [10/15 01:43:03] ppdet.engine INFO: Epoch: [75] [300/523] learning_rate: 0.340569 loss_vfl: 0.876855 loss_bbox: 0.304036 loss_dfl: 0.194801 loss: 1.379712 eta: 3 days, 3:15:28 batch_cost: 2.2458 data_cost: 0.0013 ips: 24.9350 images/s [10/15 01:43:51] ppdet.engine INFO: Epoch: [75] [320/523] learning_rate: 0.340512 loss_vfl: 0.895205 loss_bbox: 0.319676 loss_dfl: 0.204699 loss: 1.430217 eta: 3 days, 3:14:41 batch_cost: 2.2843 data_cost: 0.0013 ips: 24.5152 images/s [10/15 01:44:39] ppdet.engine INFO: Epoch: [75] [340/523] learning_rate: 0.340455 loss_vfl: 0.904058 loss_bbox: 0.301792 loss_dfl: 0.195088 loss: 1.403567 eta: 3 days, 3:13:53 batch_cost: 2.2915 data_cost: 0.0012 ips: 24.4378 images/s [10/15 01:45:27] ppdet.engine INFO: Epoch: [75] [360/523] learning_rate: 0.340398 loss_vfl: 0.890528 loss_bbox: 0.305512 loss_dfl: 0.193227 loss: 1.389553 eta: 3 days, 3:13:05 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5954 images/s [10/15 01:46:15] ppdet.engine INFO: Epoch: [75] [380/523] learning_rate: 0.340341 loss_vfl: 0.913073 loss_bbox: 0.300320 loss_dfl: 0.185058 loss: 1.391645 eta: 3 days, 3:12:19 batch_cost: 2.2985 data_cost: 0.0013 ips: 24.3638 images/s [10/15 01:47:04] ppdet.engine INFO: Epoch: [75] [400/523] learning_rate: 0.340284 loss_vfl: 0.911697 loss_bbox: 0.306619 loss_dfl: 0.189450 loss: 1.392001 eta: 3 days, 3:11:35 batch_cost: 2.3469 data_cost: 0.0013 ips: 23.8612 images/s [10/15 01:47:53] ppdet.engine INFO: Epoch: [75] [420/523] learning_rate: 0.340227 loss_vfl: 0.900675 loss_bbox: 0.303336 loss_dfl: 0.189014 loss: 1.405103 eta: 3 days, 3:10:49 batch_cost: 2.3178 data_cost: 0.0013 ips: 24.1605 images/s [10/15 01:48:40] ppdet.engine INFO: Epoch: [75] [440/523] learning_rate: 0.340170 loss_vfl: 0.904560 loss_bbox: 0.305626 loss_dfl: 0.190453 loss: 1.383968 eta: 3 days, 3:10:00 batch_cost: 2.2558 data_cost: 0.0012 ips: 24.8245 images/s [10/15 01:49:28] ppdet.engine INFO: Epoch: [75] [460/523] learning_rate: 0.340113 loss_vfl: 0.902345 loss_bbox: 0.300893 loss_dfl: 0.191211 loss: 1.385134 eta: 3 days, 3:09:13 batch_cost: 2.2873 data_cost: 0.0013 ips: 24.4830 images/s [10/15 01:50:16] ppdet.engine INFO: Epoch: [75] [480/523] learning_rate: 0.340056 loss_vfl: 0.908742 loss_bbox: 0.314144 loss_dfl: 0.196914 loss: 1.430936 eta: 3 days, 3:08:26 batch_cost: 2.2959 data_cost: 0.0012 ips: 24.3912 images/s [10/15 01:51:04] ppdet.engine INFO: Epoch: [75] [500/523] learning_rate: 0.339998 loss_vfl: 0.894093 loss_bbox: 0.293461 loss_dfl: 0.193067 loss: 1.407064 eta: 3 days, 3:07:38 batch_cost: 2.2822 data_cost: 0.0012 ips: 24.5382 images/s [10/15 01:51:45] ppdet.engine INFO: Epoch: [75] [520/523] learning_rate: 0.339941 loss_vfl: 0.896798 loss_bbox: 0.323655 loss_dfl: 0.205300 loss: 1.437981 eta: 3 days, 3:06:32 batch_cost: 1.9773 data_cost: 0.0013 ips: 28.3218 images/s [10/15 01:52:14] ppdet.engine INFO: Epoch: [76] [ 0/523] learning_rate: 0.339933 loss_vfl: 0.903933 loss_bbox: 0.316848 loss_dfl: 0.205044 loss: 1.437981 eta: 3 days, 3:07:19 batch_cost: 2.8831 data_cost: 0.4521 ips: 19.4234 images/s [10/15 01:53:05] ppdet.engine INFO: Epoch: [76] [ 20/523] learning_rate: 0.339875 loss_vfl: 0.897140 loss_bbox: 0.284424 loss_dfl: 0.193694 loss: 1.390655 eta: 3 days, 3:06:36 batch_cost: 2.3741 data_cost: 0.0015 ips: 23.5875 images/s [10/15 01:53:53] ppdet.engine INFO: Epoch: [76] [ 40/523] learning_rate: 0.339818 loss_vfl: 0.905984 loss_bbox: 0.297138 loss_dfl: 0.193536 loss: 1.400990 eta: 3 days, 3:05:47 batch_cost: 2.2529 data_cost: 0.0013 ips: 24.8570 images/s [10/15 01:54:41] ppdet.engine INFO: Epoch: [76] [ 60/523] learning_rate: 0.339761 loss_vfl: 0.900458 loss_bbox: 0.294599 loss_dfl: 0.189331 loss: 1.367130 eta: 3 days, 3:05:01 batch_cost: 2.3096 data_cost: 0.0013 ips: 24.2462 images/s [10/15 01:55:30] ppdet.engine INFO: Epoch: [76] [ 80/523] learning_rate: 0.339704 loss_vfl: 0.896527 loss_bbox: 0.314806 loss_dfl: 0.202667 loss: 1.406781 eta: 3 days, 3:04:14 batch_cost: 2.3013 data_cost: 0.0014 ips: 24.3339 images/s [10/15 01:56:18] ppdet.engine INFO: Epoch: [76] [100/523] learning_rate: 0.339646 loss_vfl: 0.902787 loss_bbox: 0.312743 loss_dfl: 0.203905 loss: 1.418024 eta: 3 days, 3:03:28 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2304 images/s [10/15 01:57:06] ppdet.engine INFO: Epoch: [76] [120/523] learning_rate: 0.339589 loss_vfl: 0.894772 loss_bbox: 0.304633 loss_dfl: 0.200313 loss: 1.412832 eta: 3 days, 3:02:39 batch_cost: 2.2523 data_cost: 0.0013 ips: 24.8637 images/s [10/15 01:57:53] ppdet.engine INFO: Epoch: [76] [140/523] learning_rate: 0.339532 loss_vfl: 0.889609 loss_bbox: 0.296439 loss_dfl: 0.197078 loss: 1.398583 eta: 3 days, 3:01:50 batch_cost: 2.2597 data_cost: 0.0012 ips: 24.7815 images/s [10/15 01:58:42] ppdet.engine INFO: Epoch: [76] [160/523] learning_rate: 0.339474 loss_vfl: 0.925025 loss_bbox: 0.305111 loss_dfl: 0.191185 loss: 1.415780 eta: 3 days, 3:01:04 batch_cost: 2.3150 data_cost: 0.0013 ips: 24.1902 images/s [10/15 01:59:29] ppdet.engine INFO: Epoch: [76] [180/523] learning_rate: 0.339417 loss_vfl: 0.897834 loss_bbox: 0.310286 loss_dfl: 0.198262 loss: 1.405990 eta: 3 days, 3:00:14 batch_cost: 2.2404 data_cost: 0.0012 ips: 24.9952 images/s [10/15 02:00:18] ppdet.engine INFO: Epoch: [76] [200/523] learning_rate: 0.339359 loss_vfl: 0.912499 loss_bbox: 0.310463 loss_dfl: 0.195680 loss: 1.411435 eta: 3 days, 2:59:30 batch_cost: 2.3448 data_cost: 0.0013 ips: 23.8827 images/s [10/15 02:01:06] ppdet.engine INFO: Epoch: [76] [220/523] learning_rate: 0.339302 loss_vfl: 0.884041 loss_bbox: 0.311600 loss_dfl: 0.194214 loss: 1.389171 eta: 3 days, 2:58:44 batch_cost: 2.3173 data_cost: 0.0013 ips: 24.1665 images/s [10/15 02:01:54] ppdet.engine INFO: Epoch: [76] [240/523] learning_rate: 0.339244 loss_vfl: 0.905095 loss_bbox: 0.307212 loss_dfl: 0.192133 loss: 1.419024 eta: 3 days, 2:57:56 batch_cost: 2.2794 data_cost: 0.0013 ips: 24.5683 images/s [10/15 02:02:43] ppdet.engine INFO: Epoch: [76] [260/523] learning_rate: 0.339187 loss_vfl: 0.905552 loss_bbox: 0.312023 loss_dfl: 0.191012 loss: 1.394019 eta: 3 days, 2:57:13 batch_cost: 2.3528 data_cost: 0.0013 ips: 23.8014 images/s [10/15 02:03:32] ppdet.engine INFO: Epoch: [76] [280/523] learning_rate: 0.339129 loss_vfl: 0.894812 loss_bbox: 0.304656 loss_dfl: 0.201860 loss: 1.405505 eta: 3 days, 2:56:26 batch_cost: 2.2937 data_cost: 0.0013 ips: 24.4151 images/s [10/15 02:04:21] ppdet.engine INFO: Epoch: [76] [300/523] learning_rate: 0.339072 loss_vfl: 0.896223 loss_bbox: 0.307219 loss_dfl: 0.190711 loss: 1.398545 eta: 3 days, 2:55:41 batch_cost: 2.3373 data_cost: 0.0013 ips: 23.9591 images/s [10/15 02:05:09] ppdet.engine INFO: Epoch: [76] [320/523] learning_rate: 0.339014 loss_vfl: 0.897232 loss_bbox: 0.301542 loss_dfl: 0.188111 loss: 1.377525 eta: 3 days, 2:54:56 batch_cost: 2.3289 data_cost: 0.0012 ips: 24.0458 images/s [10/15 02:05:58] ppdet.engine INFO: Epoch: [76] [340/523] learning_rate: 0.338957 loss_vfl: 0.905942 loss_bbox: 0.278069 loss_dfl: 0.183149 loss: 1.392113 eta: 3 days, 2:54:11 batch_cost: 2.3320 data_cost: 0.0012 ips: 24.0141 images/s [10/15 02:06:47] ppdet.engine INFO: Epoch: [76] [360/523] learning_rate: 0.338899 loss_vfl: 0.899597 loss_bbox: 0.305261 loss_dfl: 0.196698 loss: 1.413338 eta: 3 days, 2:53:29 batch_cost: 2.3692 data_cost: 0.0013 ips: 23.6362 images/s [10/15 02:07:36] ppdet.engine INFO: Epoch: [76] [380/523] learning_rate: 0.338841 loss_vfl: 0.901226 loss_bbox: 0.315513 loss_dfl: 0.199482 loss: 1.424030 eta: 3 days, 2:52:45 batch_cost: 2.3432 data_cost: 0.0014 ips: 23.8989 images/s [10/15 02:08:25] ppdet.engine INFO: Epoch: [76] [400/523] learning_rate: 0.338784 loss_vfl: 0.895608 loss_bbox: 0.298467 loss_dfl: 0.193545 loss: 1.406076 eta: 3 days, 2:51:57 batch_cost: 2.2898 data_cost: 0.0013 ips: 24.4562 images/s [10/15 02:09:13] ppdet.engine INFO: Epoch: [76] [420/523] learning_rate: 0.338726 loss_vfl: 0.895188 loss_bbox: 0.321229 loss_dfl: 0.203061 loss: 1.411387 eta: 3 days, 2:51:10 batch_cost: 2.2951 data_cost: 0.0015 ips: 24.4002 images/s [10/15 02:10:01] ppdet.engine INFO: Epoch: [76] [440/523] learning_rate: 0.338668 loss_vfl: 0.908054 loss_bbox: 0.314135 loss_dfl: 0.194878 loss: 1.418653 eta: 3 days, 2:50:26 batch_cost: 2.3318 data_cost: 0.0013 ips: 24.0154 images/s [10/15 02:10:50] ppdet.engine INFO: Epoch: [76] [460/523] learning_rate: 0.338611 loss_vfl: 0.910548 loss_bbox: 0.308568 loss_dfl: 0.199953 loss: 1.425395 eta: 3 days, 2:49:39 batch_cost: 2.3021 data_cost: 0.0012 ips: 24.3251 images/s [10/15 02:11:38] ppdet.engine INFO: Epoch: [76] [480/523] learning_rate: 0.338553 loss_vfl: 0.899788 loss_bbox: 0.301775 loss_dfl: 0.198628 loss: 1.412643 eta: 3 days, 2:48:53 batch_cost: 2.3117 data_cost: 0.0013 ips: 24.2241 images/s [10/15 02:12:28] ppdet.engine INFO: Epoch: [76] [500/523] learning_rate: 0.338495 loss_vfl: 0.888243 loss_bbox: 0.300546 loss_dfl: 0.194925 loss: 1.383378 eta: 3 days, 2:48:10 batch_cost: 2.3536 data_cost: 0.0021 ips: 23.7935 images/s [10/15 02:13:11] ppdet.engine INFO: Epoch: [76] [520/523] learning_rate: 0.338437 loss_vfl: 0.900285 loss_bbox: 0.287810 loss_dfl: 0.183938 loss: 1.404578 eta: 3 days, 2:47:09 batch_cost: 2.0634 data_cost: 0.0028 ips: 27.1393 images/s [10/15 02:13:37] ppdet.engine INFO: Epoch: [77] [ 0/523] learning_rate: 0.338429 loss_vfl: 0.899081 loss_bbox: 0.302209 loss_dfl: 0.186675 loss: 1.404578 eta: 3 days, 2:47:48 batch_cost: 2.8552 data_cost: 0.6201 ips: 19.6135 images/s [10/15 02:14:29] ppdet.engine INFO: Epoch: [77] [ 20/523] learning_rate: 0.338371 loss_vfl: 0.878428 loss_bbox: 0.293848 loss_dfl: 0.184273 loss: 1.353410 eta: 3 days, 2:47:09 batch_cost: 2.4328 data_cost: 0.0015 ips: 23.0187 images/s [10/15 02:15:17] ppdet.engine INFO: Epoch: [77] [ 40/523] learning_rate: 0.338313 loss_vfl: 0.877849 loss_bbox: 0.309520 loss_dfl: 0.198909 loss: 1.393169 eta: 3 days, 2:46:23 batch_cost: 2.3139 data_cost: 0.0013 ips: 24.2019 images/s [10/15 02:16:05] ppdet.engine INFO: Epoch: [77] [ 60/523] learning_rate: 0.338255 loss_vfl: 0.878027 loss_bbox: 0.309122 loss_dfl: 0.200264 loss: 1.376896 eta: 3 days, 2:45:35 batch_cost: 2.2760 data_cost: 0.0013 ips: 24.6046 images/s [10/15 02:16:53] ppdet.engine INFO: Epoch: [77] [ 80/523] learning_rate: 0.338197 loss_vfl: 0.897292 loss_bbox: 0.301703 loss_dfl: 0.199009 loss: 1.424312 eta: 3 days, 2:44:47 batch_cost: 2.2734 data_cost: 0.0020 ips: 24.6325 images/s [10/15 02:17:41] ppdet.engine INFO: Epoch: [77] [100/523] learning_rate: 0.338139 loss_vfl: 0.886483 loss_bbox: 0.296166 loss_dfl: 0.190540 loss: 1.362120 eta: 3 days, 2:43:59 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5240 images/s [10/15 02:18:29] ppdet.engine INFO: Epoch: [77] [120/523] learning_rate: 0.338081 loss_vfl: 0.901930 loss_bbox: 0.309959 loss_dfl: 0.197437 loss: 1.406104 eta: 3 days, 2:43:12 batch_cost: 2.2977 data_cost: 0.0013 ips: 24.3723 images/s [10/15 02:19:17] ppdet.engine INFO: Epoch: [77] [140/523] learning_rate: 0.338023 loss_vfl: 0.871388 loss_bbox: 0.305905 loss_dfl: 0.193011 loss: 1.396786 eta: 3 days, 2:42:27 batch_cost: 2.3154 data_cost: 0.0013 ips: 24.1862 images/s [10/15 02:20:06] ppdet.engine INFO: Epoch: [77] [160/523] learning_rate: 0.337965 loss_vfl: 0.901776 loss_bbox: 0.321539 loss_dfl: 0.205535 loss: 1.419393 eta: 3 days, 2:41:41 batch_cost: 2.3254 data_cost: 0.0014 ips: 24.0817 images/s [10/15 02:20:53] ppdet.engine INFO: Epoch: [77] [180/523] learning_rate: 0.337907 loss_vfl: 0.884829 loss_bbox: 0.293656 loss_dfl: 0.198512 loss: 1.387812 eta: 3 days, 2:40:52 batch_cost: 2.2575 data_cost: 0.0013 ips: 24.8060 images/s [10/15 02:21:41] ppdet.engine INFO: Epoch: 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loss_bbox: 0.296114 loss_dfl: 0.193885 loss: 1.396367 eta: 3 days, 2:37:04 batch_cost: 2.3177 data_cost: 0.0012 ips: 24.1619 images/s [10/15 02:25:43] ppdet.engine INFO: Epoch: [77] [300/523] learning_rate: 0.337559 loss_vfl: 0.916485 loss_bbox: 0.309426 loss_dfl: 0.191973 loss: 1.412616 eta: 3 days, 2:36:16 batch_cost: 2.2733 data_cost: 0.0013 ips: 24.6336 images/s [10/15 02:26:31] ppdet.engine INFO: Epoch: [77] [320/523] learning_rate: 0.337501 loss_vfl: 0.905788 loss_bbox: 0.315541 loss_dfl: 0.199346 loss: 1.423728 eta: 3 days, 2:35:28 batch_cost: 2.2752 data_cost: 0.0013 ips: 24.6129 images/s [10/15 02:27:20] ppdet.engine INFO: Epoch: [77] [340/523] learning_rate: 0.337443 loss_vfl: 0.920395 loss_bbox: 0.302255 loss_dfl: 0.196277 loss: 1.420428 eta: 3 days, 2:34:43 batch_cost: 2.3302 data_cost: 0.0012 ips: 24.0320 images/s [10/15 02:28:07] ppdet.engine INFO: Epoch: [77] [360/523] learning_rate: 0.337385 loss_vfl: 0.896730 loss_bbox: 0.284222 loss_dfl: 0.187475 loss: 1.374348 eta: 3 days, 2:33:54 batch_cost: 2.2728 data_cost: 0.0013 ips: 24.6390 images/s [10/15 02:28:55] ppdet.engine INFO: Epoch: [77] [380/523] learning_rate: 0.337326 loss_vfl: 0.897143 loss_bbox: 0.318861 loss_dfl: 0.204287 loss: 1.411542 eta: 3 days, 2:33:06 batch_cost: 2.2789 data_cost: 0.0013 ips: 24.5728 images/s [10/15 02:29:43] ppdet.engine INFO: Epoch: [77] [400/523] learning_rate: 0.337268 loss_vfl: 0.910253 loss_bbox: 0.299229 loss_dfl: 0.183990 loss: 1.389291 eta: 3 days, 2:32:20 batch_cost: 2.2996 data_cost: 0.0013 ips: 24.3524 images/s [10/15 02:30:31] ppdet.engine INFO: Epoch: [77] [420/523] learning_rate: 0.337210 loss_vfl: 0.890691 loss_bbox: 0.315454 loss_dfl: 0.204913 loss: 1.398892 eta: 3 days, 2:31:34 batch_cost: 2.3234 data_cost: 0.0013 ips: 24.1021 images/s [10/15 02:31:20] ppdet.engine INFO: Epoch: [77] [440/523] learning_rate: 0.337152 loss_vfl: 0.905023 loss_bbox: 0.293576 loss_dfl: 0.188977 loss: 1.391458 eta: 3 days, 2:30:48 batch_cost: 2.3073 data_cost: 0.0013 ips: 24.2711 images/s [10/15 02:32:07] ppdet.engine INFO: Epoch: [77] [460/523] learning_rate: 0.337093 loss_vfl: 0.895688 loss_bbox: 0.299508 loss_dfl: 0.190800 loss: 1.387920 eta: 3 days, 2:29:59 batch_cost: 2.2589 data_cost: 0.0019 ips: 24.7908 images/s [10/15 02:32:55] ppdet.engine INFO: Epoch: [77] [480/523] learning_rate: 0.337035 loss_vfl: 0.870449 loss_bbox: 0.323584 loss_dfl: 0.202184 loss: 1.412509 eta: 3 days, 2:29:10 batch_cost: 2.2516 data_cost: 0.0014 ips: 24.8715 images/s [10/15 02:33:42] ppdet.engine INFO: Epoch: [77] [500/523] learning_rate: 0.336977 loss_vfl: 0.904492 loss_bbox: 0.301817 loss_dfl: 0.199458 loss: 1.403548 eta: 3 days, 2:28:20 batch_cost: 2.2507 data_cost: 0.0015 ips: 24.8816 images/s [10/15 02:34:24] ppdet.engine INFO: Epoch: [77] [520/523] learning_rate: 0.336918 loss_vfl: 0.887407 loss_bbox: 0.316703 loss_dfl: 0.193547 loss: 1.409715 eta: 3 days, 2:27:16 batch_cost: 1.9845 data_cost: 0.0013 ips: 28.2185 images/s [10/15 02:34:56] ppdet.engine INFO: Epoch: [78] [ 0/523] learning_rate: 0.336909 loss_vfl: 0.892860 loss_bbox: 0.320191 loss_dfl: 0.193623 loss: 1.410665 eta: 3 days, 2:28:08 batch_cost: 3.0620 data_cost: 0.2997 ips: 18.2888 images/s [10/15 02:35:46] ppdet.engine INFO: Epoch: [78] [ 20/523] learning_rate: 0.336851 loss_vfl: 0.898164 loss_bbox: 0.300867 loss_dfl: 0.198287 loss: 1.387576 eta: 3 days, 2:27:29 batch_cost: 2.4265 data_cost: 0.0014 ips: 23.0785 images/s [10/15 02:36:35] ppdet.engine INFO: Epoch: [78] [ 40/523] learning_rate: 0.336793 loss_vfl: 0.867659 loss_bbox: 0.312350 loss_dfl: 0.203087 loss: 1.401874 eta: 3 days, 2:26:42 batch_cost: 2.2996 data_cost: 0.0013 ips: 24.3519 images/s [10/15 02:37:24] ppdet.engine INFO: Epoch: [78] [ 60/523] learning_rate: 0.336734 loss_vfl: 0.876637 loss_bbox: 0.308713 loss_dfl: 0.193712 loss: 1.410166 eta: 3 days, 2:25:59 batch_cost: 2.3625 data_cost: 0.0012 ips: 23.7033 images/s [10/15 02:38:13] ppdet.engine INFO: Epoch: [78] [ 80/523] learning_rate: 0.336676 loss_vfl: 0.901444 loss_bbox: 0.290837 loss_dfl: 0.185844 loss: 1.403323 eta: 3 days, 2:25:15 batch_cost: 2.3501 data_cost: 0.0012 ips: 23.8284 images/s [10/15 02:39:01] ppdet.engine INFO: Epoch: [78] [100/523] learning_rate: 0.336617 loss_vfl: 0.873941 loss_bbox: 0.304299 loss_dfl: 0.197185 loss: 1.368182 eta: 3 days, 2:24:28 batch_cost: 2.2972 data_cost: 0.0014 ips: 24.3780 images/s [10/15 02:39:51] ppdet.engine INFO: Epoch: [78] [120/523] learning_rate: 0.336559 loss_vfl: 0.895429 loss_bbox: 0.309686 loss_dfl: 0.191022 loss: 1.419176 eta: 3 days, 2:23:45 batch_cost: 2.3540 data_cost: 0.0013 ips: 23.7895 images/s [10/15 02:40:39] ppdet.engine INFO: Epoch: [78] [140/523] learning_rate: 0.336500 loss_vfl: 0.898664 loss_bbox: 0.291880 loss_dfl: 0.194875 loss: 1.407543 eta: 3 days, 2:22:59 batch_cost: 2.3276 data_cost: 0.0014 ips: 24.0587 images/s [10/15 02:41:28] ppdet.engine INFO: Epoch: [78] [160/523] learning_rate: 0.336442 loss_vfl: 0.903715 loss_bbox: 0.314603 loss_dfl: 0.190667 loss: 1.387134 eta: 3 days, 2:22:15 batch_cost: 2.3438 data_cost: 0.0019 ips: 23.8927 images/s [10/15 02:42:17] ppdet.engine INFO: Epoch: [78] [180/523] learning_rate: 0.336383 loss_vfl: 0.874050 loss_bbox: 0.315109 loss_dfl: 0.204059 loss: 1.393652 eta: 3 days, 2:21:29 batch_cost: 2.3099 data_cost: 0.0013 ips: 24.2436 images/s [10/15 02:43:06] ppdet.engine INFO: Epoch: [78] [200/523] learning_rate: 0.336324 loss_vfl: 0.905206 loss_bbox: 0.305527 loss_dfl: 0.201462 loss: 1.422193 eta: 3 days, 2:20:46 batch_cost: 2.3593 data_cost: 0.0013 ips: 23.7357 images/s [10/15 02:43:54] ppdet.engine INFO: Epoch: [78] [220/523] learning_rate: 0.336266 loss_vfl: 0.892603 loss_bbox: 0.318929 loss_dfl: 0.202412 loss: 1.425804 eta: 3 days, 2:20:00 batch_cost: 2.3185 data_cost: 0.0012 ips: 24.1536 images/s [10/15 02:44:43] ppdet.engine INFO: Epoch: [78] [240/523] learning_rate: 0.336207 loss_vfl: 0.911439 loss_bbox: 0.287658 loss_dfl: 0.191323 loss: 1.371361 eta: 3 days, 2:19:14 batch_cost: 2.3132 data_cost: 0.0013 ips: 24.2087 images/s [10/15 02:45:31] ppdet.engine INFO: Epoch: [78] [260/523] learning_rate: 0.336149 loss_vfl: 0.886197 loss_bbox: 0.316832 loss_dfl: 0.200817 loss: 1.399522 eta: 3 days, 2:18:29 batch_cost: 2.3326 data_cost: 0.0015 ips: 24.0078 images/s [10/15 02:46:21] ppdet.engine INFO: Epoch: [78] [280/523] learning_rate: 0.336090 loss_vfl: 0.894286 loss_bbox: 0.316905 loss_dfl: 0.196113 loss: 1.404061 eta: 3 days, 2:17:46 batch_cost: 2.3672 data_cost: 0.0014 ips: 23.6563 images/s [10/15 02:47:11] ppdet.engine INFO: Epoch: [78] [300/523] learning_rate: 0.336031 loss_vfl: 0.899412 loss_bbox: 0.301230 loss_dfl: 0.193330 loss: 1.406062 eta: 3 days, 2:17:03 batch_cost: 2.3666 data_cost: 0.0035 ips: 23.6629 images/s [10/15 02:48:00] ppdet.engine INFO: Epoch: [78] [320/523] learning_rate: 0.335972 loss_vfl: 0.896271 loss_bbox: 0.304107 loss_dfl: 0.190051 loss: 1.393381 eta: 3 days, 2:16:19 batch_cost: 2.3404 data_cost: 0.0014 ips: 23.9273 images/s [10/15 02:48:46] ppdet.engine INFO: Epoch: [78] [340/523] learning_rate: 0.335914 loss_vfl: 0.912909 loss_bbox: 0.319948 loss_dfl: 0.202329 loss: 1.420051 eta: 3 days, 2:15:26 batch_cost: 2.1919 data_cost: 0.0015 ips: 25.5492 images/s [10/15 02:49:34] ppdet.engine INFO: Epoch: [78] [360/523] learning_rate: 0.335855 loss_vfl: 0.909607 loss_bbox: 0.308795 loss_dfl: 0.193306 loss: 1.406489 eta: 3 days, 2:14:38 batch_cost: 2.2733 data_cost: 0.0013 ips: 24.6339 images/s [10/15 02:50:21] ppdet.engine INFO: Epoch: [78] [380/523] learning_rate: 0.335796 loss_vfl: 0.893086 loss_bbox: 0.326530 loss_dfl: 0.207716 loss: 1.428320 eta: 3 days, 2:13:49 batch_cost: 2.2557 data_cost: 0.0012 ips: 24.8256 images/s [10/15 02:51:10] ppdet.engine INFO: Epoch: [78] [400/523] learning_rate: 0.335737 loss_vfl: 0.901400 loss_bbox: 0.302421 loss_dfl: 0.187789 loss: 1.390071 eta: 3 days, 2:13:03 batch_cost: 2.3087 data_cost: 0.0013 ips: 24.2563 images/s [10/15 02:51:58] ppdet.engine INFO: Epoch: [78] [420/523] learning_rate: 0.335679 loss_vfl: 0.885815 loss_bbox: 0.288637 loss_dfl: 0.188816 loss: 1.364715 eta: 3 days, 2:12:14 batch_cost: 2.2663 data_cost: 0.0012 ips: 24.7104 images/s [10/15 02:52:46] ppdet.engine INFO: Epoch: [78] [440/523] learning_rate: 0.335620 loss_vfl: 0.900460 loss_bbox: 0.328136 loss_dfl: 0.197262 loss: 1.418619 eta: 3 days, 2:11:27 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4049 images/s [10/15 02:53:36] ppdet.engine INFO: Epoch: [78] [460/523] learning_rate: 0.335561 loss_vfl: 0.916690 loss_bbox: 0.287769 loss_dfl: 0.187813 loss: 1.399476 eta: 3 days, 2:10:45 batch_cost: 2.3834 data_cost: 0.0012 ips: 23.4959 images/s [10/15 02:54:22] ppdet.engine INFO: Epoch: [78] [480/523] learning_rate: 0.335502 loss_vfl: 0.896878 loss_bbox: 0.301897 loss_dfl: 0.189482 loss: 1.393212 eta: 3 days, 2:09:55 batch_cost: 2.2394 data_cost: 0.0013 ips: 25.0063 images/s [10/15 02:55:11] ppdet.engine INFO: Epoch: [78] [500/523] learning_rate: 0.335443 loss_vfl: 0.889783 loss_bbox: 0.298386 loss_dfl: 0.190452 loss: 1.374054 eta: 3 days, 2:09:08 batch_cost: 2.2990 data_cost: 0.0067 ips: 24.3580 images/s [10/15 02:55:52] ppdet.engine INFO: Epoch: [78] [520/523] learning_rate: 0.335384 loss_vfl: 0.910550 loss_bbox: 0.282457 loss_dfl: 0.188543 loss: 1.398671 eta: 3 days, 2:08:02 batch_cost: 1.9612 data_cost: 0.0013 ips: 28.5540 images/s [10/15 02:56:21] ppdet.engine INFO: Epoch: [79] [ 0/523] learning_rate: 0.335375 loss_vfl: 0.910550 loss_bbox: 0.279675 loss_dfl: 0.188363 loss: 1.379246 eta: 3 days, 2:08:46 batch_cost: 2.8475 data_cost: 0.2507 ips: 19.6663 images/s [10/15 02:57:12] ppdet.engine INFO: Epoch: [79] [ 20/523] learning_rate: 0.335316 loss_vfl: 0.866603 loss_bbox: 0.297018 loss_dfl: 0.197627 loss: 1.368913 eta: 3 days, 2:08:04 batch_cost: 2.3818 data_cost: 0.0014 ips: 23.5113 images/s [10/15 02:58:01] ppdet.engine INFO: Epoch: [79] [ 40/523] learning_rate: 0.335257 loss_vfl: 0.899551 loss_bbox: 0.294627 loss_dfl: 0.191361 loss: 1.389729 eta: 3 days, 2:07:21 batch_cost: 2.3693 data_cost: 0.0021 ips: 23.6353 images/s [10/15 02:58:50] ppdet.engine INFO: Epoch: [79] [ 60/523] learning_rate: 0.335198 loss_vfl: 0.883530 loss_bbox: 0.323229 loss_dfl: 0.204111 loss: 1.424075 eta: 3 days, 2:06:36 batch_cost: 2.3362 data_cost: 0.0013 ips: 23.9708 images/s [10/15 02:59:38] ppdet.engine INFO: Epoch: [79] [ 80/523] learning_rate: 0.335139 loss_vfl: 0.895921 loss_bbox: 0.310155 loss_dfl: 0.190841 loss: 1.393290 eta: 3 days, 2:05:48 batch_cost: 2.2824 data_cost: 0.0013 ips: 24.5358 images/s [10/15 03:00:26] ppdet.engine INFO: Epoch: [79] [100/523] learning_rate: 0.335080 loss_vfl: 0.892261 loss_bbox: 0.319591 loss_dfl: 0.204525 loss: 1.399529 eta: 3 days, 2:05:01 batch_cost: 2.2793 data_cost: 0.0013 ips: 24.5690 images/s [10/15 03:01:14] ppdet.engine INFO: Epoch: [79] [120/523] learning_rate: 0.335021 loss_vfl: 0.895987 loss_bbox: 0.296364 loss_dfl: 0.193275 loss: 1.390896 eta: 3 days, 2:04:15 batch_cost: 2.3201 data_cost: 0.0013 ips: 24.1364 images/s [10/15 03:02:02] ppdet.engine INFO: Epoch: [79] [140/523] learning_rate: 0.334962 loss_vfl: 0.894947 loss_bbox: 0.282051 loss_dfl: 0.190647 loss: 1.367484 eta: 3 days, 2:03:28 batch_cost: 2.2902 data_cost: 0.0013 ips: 24.4519 images/s [10/15 03:02:51] ppdet.engine INFO: Epoch: [79] [160/523] learning_rate: 0.334903 loss_vfl: 0.894676 loss_bbox: 0.296031 loss_dfl: 0.188784 loss: 1.401526 eta: 3 days, 2:02:44 batch_cost: 2.3568 data_cost: 0.0013 ips: 23.7607 images/s [10/15 03:03:41] ppdet.engine INFO: Epoch: [79] [180/523] learning_rate: 0.334844 loss_vfl: 0.913354 loss_bbox: 0.311213 loss_dfl: 0.197155 loss: 1.424414 eta: 3 days, 2:02:03 batch_cost: 2.3953 data_cost: 0.0013 ips: 23.3791 images/s [10/15 03:04:30] ppdet.engine INFO: Epoch: [79] [200/523] learning_rate: 0.334785 loss_vfl: 0.879889 loss_bbox: 0.300354 loss_dfl: 0.196682 loss: 1.376250 eta: 3 days, 2:01:17 batch_cost: 2.3127 data_cost: 0.0013 ips: 24.2144 images/s [10/15 03:05:17] ppdet.engine INFO: Epoch: [79] [220/523] learning_rate: 0.334725 loss_vfl: 0.889655 loss_bbox: 0.308461 loss_dfl: 0.193260 loss: 1.391402 eta: 3 days, 2:00:28 batch_cost: 2.2558 data_cost: 0.0012 ips: 24.8252 images/s [10/15 03:06:06] ppdet.engine INFO: Epoch: [79] [240/523] learning_rate: 0.334666 loss_vfl: 0.898391 loss_bbox: 0.306545 loss_dfl: 0.194160 loss: 1.402203 eta: 3 days, 1:59:42 batch_cost: 2.3152 data_cost: 0.0013 ips: 24.1879 images/s [10/15 03:06:53] ppdet.engine INFO: Epoch: [79] [260/523] learning_rate: 0.334607 loss_vfl: 0.888464 loss_bbox: 0.299922 loss_dfl: 0.200564 loss: 1.407124 eta: 3 days, 1:58:53 batch_cost: 2.2626 data_cost: 0.0013 ips: 24.7507 images/s [10/15 03:07:41] ppdet.engine INFO: Epoch: [79] [280/523] learning_rate: 0.334548 loss_vfl: 0.888976 loss_bbox: 0.299459 loss_dfl: 0.195249 loss: 1.409561 eta: 3 days, 1:58:05 batch_cost: 2.2715 data_cost: 0.0014 ips: 24.6538 images/s [10/15 03:08:30] ppdet.engine INFO: Epoch: [79] [300/523] learning_rate: 0.334488 loss_vfl: 0.892277 loss_bbox: 0.324893 loss_dfl: 0.197370 loss: 1.414510 eta: 3 days, 1:57:19 batch_cost: 2.3272 data_cost: 0.0012 ips: 24.0636 images/s [10/15 03:09:18] ppdet.engine INFO: Epoch: [79] [320/523] learning_rate: 0.334429 loss_vfl: 0.887294 loss_bbox: 0.316368 loss_dfl: 0.193372 loss: 1.415531 eta: 3 days, 1:56:31 batch_cost: 2.2618 data_cost: 0.0012 ips: 24.7592 images/s [10/15 03:10:06] ppdet.engine INFO: Epoch: [79] [340/523] learning_rate: 0.334370 loss_vfl: 0.910687 loss_bbox: 0.292469 loss_dfl: 0.184023 loss: 1.390474 eta: 3 days, 1:55:42 batch_cost: 2.2662 data_cost: 0.0013 ips: 24.7109 images/s [10/15 03:10:55] ppdet.engine INFO: Epoch: [79] [360/523] learning_rate: 0.334310 loss_vfl: 0.922502 loss_bbox: 0.270289 loss_dfl: 0.188377 loss: 1.423123 eta: 3 days, 1:54:58 batch_cost: 2.3462 data_cost: 0.0013 ips: 23.8680 images/s [10/15 03:11:44] ppdet.engine INFO: Epoch: [79] [380/523] learning_rate: 0.334251 loss_vfl: 0.906582 loss_bbox: 0.310411 loss_dfl: 0.200484 loss: 1.403766 eta: 3 days, 1:54:13 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0449 images/s [10/15 03:12:31] ppdet.engine INFO: Epoch: [79] [400/523] learning_rate: 0.334192 loss_vfl: 0.893348 loss_bbox: 0.315184 loss_dfl: 0.199625 loss: 1.405008 eta: 3 days, 1:53:26 batch_cost: 2.2922 data_cost: 0.0013 ips: 24.4302 images/s [10/15 03:13:20] ppdet.engine INFO: Epoch: [79] [420/523] learning_rate: 0.334132 loss_vfl: 0.885114 loss_bbox: 0.294254 loss_dfl: 0.194755 loss: 1.390720 eta: 3 days, 1:52:40 batch_cost: 2.3231 data_cost: 0.0077 ips: 24.1052 images/s [10/15 03:14:09] ppdet.engine INFO: Epoch: [79] [440/523] learning_rate: 0.334073 loss_vfl: 0.893267 loss_bbox: 0.316794 loss_dfl: 0.201197 loss: 1.413175 eta: 3 days, 1:51:54 batch_cost: 2.3154 data_cost: 0.0013 ips: 24.1857 images/s [10/15 03:14:57] ppdet.engine INFO: Epoch: [79] [460/523] learning_rate: 0.334014 loss_vfl: 0.894962 loss_bbox: 0.310782 loss_dfl: 0.195704 loss: 1.419921 eta: 3 days, 1:51:09 batch_cost: 2.3231 data_cost: 0.0013 ips: 24.1054 images/s [10/15 03:15:46] ppdet.engine INFO: Epoch: [79] [480/523] learning_rate: 0.333954 loss_vfl: 0.900641 loss_bbox: 0.292770 loss_dfl: 0.196124 loss: 1.397746 eta: 3 days, 1:50:25 batch_cost: 2.3469 data_cost: 0.0013 ips: 23.8611 images/s [10/15 03:16:35] ppdet.engine INFO: Epoch: [79] [500/523] learning_rate: 0.333895 loss_vfl: 0.904587 loss_bbox: 0.299332 loss_dfl: 0.189116 loss: 1.401546 eta: 3 days, 1:49:38 batch_cost: 2.3074 data_cost: 0.0025 ips: 24.2698 images/s [10/15 03:17:15] ppdet.engine INFO: Epoch: [79] [520/523] learning_rate: 0.333835 loss_vfl: 0.920186 loss_bbox: 0.298468 loss_dfl: 0.196369 loss: 1.404813 eta: 3 days, 1:48:32 batch_cost: 1.9407 data_cost: 0.0013 ips: 28.8552 images/s [10/15 03:17:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 03:17:24] ppdet.engine INFO: Eval iter: 0 [10/15 03:18:03] ppdet.engine INFO: Eval iter: 100 [10/15 03:18:24] ppdet.engine INFO: Eval iter: 200 [10/15 03:18:44] ppdet.engine INFO: Eval iter: 300 [10/15 03:19:05] ppdet.engine INFO: Eval iter: 400 [10/15 03:19:26] ppdet.engine INFO: Eval iter: 500 [10/15 03:19:47] ppdet.engine INFO: Eval iter: 600 [10/15 03:20:07] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.94s) creating index... index created! [10/15 03:20:08] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.93s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.71s). Accumulating evaluation results... DONE (t=18.12s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.332 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.483 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.126 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.356 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.530 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.290 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.461 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 ] = 0.219 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.552 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733 [10/15 03:22:14] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.415624032419316 [10/15 03:22:14] ppdet.engine INFO: Best test bbox ap is 0.332. [10/15 03:22:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 03:22:16] ppdet.engine INFO: Epoch: [80] [ 0/523] learning_rate: 0.333826 loss_vfl: 0.913526 loss_bbox: 0.311446 loss_dfl: 0.203986 loss: 1.404813 eta: 3 days, 1:48:22 batch_cost: 1.8875 data_cost: 0.0013 ips: 29.6691 images/s [10/15 03:23:05] ppdet.engine INFO: Epoch: [80] [ 20/523] learning_rate: 0.333767 loss_vfl: 0.899289 loss_bbox: 0.310687 loss_dfl: 0.197319 loss: 1.397851 eta: 3 days, 1:47:36 batch_cost: 2.3148 data_cost: 0.0014 ips: 24.1924 images/s [10/15 03:23:55] ppdet.engine INFO: Epoch: [80] [ 40/523] learning_rate: 0.333707 loss_vfl: 0.892635 loss_bbox: 0.308103 loss_dfl: 0.197148 loss: 1.394544 eta: 3 days, 1:46:53 batch_cost: 2.3669 data_cost: 0.0012 ips: 23.6598 images/s [10/15 03:24:45] ppdet.engine INFO: Epoch: [80] [ 60/523] learning_rate: 0.333647 loss_vfl: 0.897982 loss_bbox: 0.295320 loss_dfl: 0.186268 loss: 1.404254 eta: 3 days, 1:46:10 batch_cost: 2.3723 data_cost: 0.0012 ips: 23.6053 images/s [10/15 03:25:34] ppdet.engine INFO: Epoch: [80] [ 80/523] learning_rate: 0.333588 loss_vfl: 0.879312 loss_bbox: 0.305822 loss_dfl: 0.189639 loss: 1.386120 eta: 3 days, 1:45:26 batch_cost: 2.3585 data_cost: 0.0012 ips: 23.7441 images/s [10/15 03:26:23] ppdet.engine INFO: Epoch: [80] [100/523] learning_rate: 0.333528 loss_vfl: 0.882740 loss_bbox: 0.298561 loss_dfl: 0.191865 loss: 1.387933 eta: 3 days, 1:44:42 batch_cost: 2.3440 data_cost: 0.0012 ips: 23.8906 images/s [10/15 03:27:12] ppdet.engine INFO: Epoch: [80] [120/523] learning_rate: 0.333469 loss_vfl: 0.892681 loss_bbox: 0.303421 loss_dfl: 0.198152 loss: 1.388585 eta: 3 days, 1:43:58 batch_cost: 2.3451 data_cost: 0.0012 ips: 23.8800 images/s [10/15 03:28:02] ppdet.engine INFO: Epoch: [80] [140/523] learning_rate: 0.333409 loss_vfl: 0.884228 loss_bbox: 0.296460 loss_dfl: 0.188898 loss: 1.376055 eta: 3 days, 1:43:15 batch_cost: 2.3623 data_cost: 0.0013 ips: 23.7054 images/s [10/15 03:28:50] ppdet.engine INFO: Epoch: [80] [160/523] learning_rate: 0.333349 loss_vfl: 0.901459 loss_bbox: 0.306913 loss_dfl: 0.196010 loss: 1.401025 eta: 3 days, 1:42:26 batch_cost: 2.2660 data_cost: 0.0012 ips: 24.7133 images/s [10/15 03:29:38] ppdet.engine INFO: Epoch: [80] [180/523] learning_rate: 0.333290 loss_vfl: 0.897719 loss_bbox: 0.311617 loss_dfl: 0.201184 loss: 1.419726 eta: 3 days, 1:41:39 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3421 images/s [10/15 03:30:26] ppdet.engine INFO: Epoch: [80] [200/523] learning_rate: 0.333230 loss_vfl: 0.897362 loss_bbox: 0.318284 loss_dfl: 0.199777 loss: 1.427234 eta: 3 days, 1:40:52 batch_cost: 2.2865 data_cost: 0.0012 ips: 24.4921 images/s [10/15 03:31:14] ppdet.engine INFO: Epoch: [80] [220/523] learning_rate: 0.333170 loss_vfl: 0.889181 loss_bbox: 0.323874 loss_dfl: 0.204971 loss: 1.412310 eta: 3 days, 1:40:04 batch_cost: 2.2849 data_cost: 0.0012 ips: 24.5091 images/s [10/15 03:32:04] ppdet.engine INFO: Epoch: [80] [240/523] learning_rate: 0.333110 loss_vfl: 0.913381 loss_bbox: 0.303320 loss_dfl: 0.195860 loss: 1.408422 eta: 3 days, 1:39:21 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7017 images/s [10/15 03:32:53] ppdet.engine INFO: Epoch: [80] [260/523] learning_rate: 0.333051 loss_vfl: 0.900631 loss_bbox: 0.315139 loss_dfl: 0.193615 loss: 1.407748 eta: 3 days, 1:38:38 batch_cost: 2.3660 data_cost: 0.0013 ips: 23.6690 images/s [10/15 03:33:41] ppdet.engine INFO: Epoch: [80] [280/523] learning_rate: 0.332991 loss_vfl: 0.898307 loss_bbox: 0.316334 loss_dfl: 0.196432 loss: 1.410789 eta: 3 days, 1:37:52 batch_cost: 2.3055 data_cost: 0.0013 ips: 24.2902 images/s [10/15 03:34:29] ppdet.engine INFO: Epoch: [80] [300/523] learning_rate: 0.332931 loss_vfl: 0.900066 loss_bbox: 0.306916 loss_dfl: 0.198394 loss: 1.416394 eta: 3 days, 1:37:03 batch_cost: 2.2626 data_cost: 0.0016 ips: 24.7506 images/s [10/15 03:35:17] ppdet.engine INFO: Epoch: [80] [320/523] learning_rate: 0.332871 loss_vfl: 0.896279 loss_bbox: 0.299570 loss_dfl: 0.196486 loss: 1.402061 eta: 3 days, 1:36:15 batch_cost: 2.2855 data_cost: 0.0012 ips: 24.5024 images/s [10/15 03:36:06] ppdet.engine INFO: Epoch: [80] [340/523] learning_rate: 0.332811 loss_vfl: 0.884949 loss_bbox: 0.303736 loss_dfl: 0.190323 loss: 1.384911 eta: 3 days, 1:35:32 batch_cost: 2.3516 data_cost: 0.0012 ips: 23.8134 images/s [10/15 03:36:54] ppdet.engine INFO: Epoch: [80] [360/523] learning_rate: 0.332751 loss_vfl: 0.899823 loss_bbox: 0.295392 loss_dfl: 0.186572 loss: 1.360517 eta: 3 days, 1:34:45 batch_cost: 2.3021 data_cost: 0.0013 ips: 24.3260 images/s [10/15 03:37:44] ppdet.engine INFO: Epoch: [80] [380/523] learning_rate: 0.332691 loss_vfl: 0.908472 loss_bbox: 0.305031 loss_dfl: 0.192953 loss: 1.411959 eta: 3 days, 1:34:03 batch_cost: 2.3820 data_cost: 0.0013 ips: 23.5096 images/s [10/15 03:38:32] ppdet.engine INFO: Epoch: [80] [400/523] learning_rate: 0.332631 loss_vfl: 0.894586 loss_bbox: 0.298823 loss_dfl: 0.191260 loss: 1.409812 eta: 3 days, 1:33:16 batch_cost: 2.3032 data_cost: 0.0012 ips: 24.3144 images/s [10/15 03:39:19] ppdet.engine INFO: Epoch: [80] [420/523] learning_rate: 0.332571 loss_vfl: 0.908091 loss_bbox: 0.317510 loss_dfl: 0.201617 loss: 1.423965 eta: 3 days, 1:32:27 batch_cost: 2.2527 data_cost: 0.0012 ips: 24.8586 images/s [10/15 03:40:08] ppdet.engine INFO: Epoch: [80] [440/523] learning_rate: 0.332512 loss_vfl: 0.869006 loss_bbox: 0.292088 loss_dfl: 0.191277 loss: 1.353140 eta: 3 days, 1:31:42 batch_cost: 2.3306 data_cost: 0.0012 ips: 24.0281 images/s [10/15 03:40:56] ppdet.engine INFO: Epoch: [80] [460/523] learning_rate: 0.332452 loss_vfl: 0.891004 loss_bbox: 0.303704 loss_dfl: 0.199179 loss: 1.390630 eta: 3 days, 1:30:53 batch_cost: 2.2594 data_cost: 0.0013 ips: 24.7851 images/s [10/15 03:41:45] ppdet.engine INFO: Epoch: [80] [480/523] learning_rate: 0.332391 loss_vfl: 0.902695 loss_bbox: 0.295555 loss_dfl: 0.197046 loss: 1.417098 eta: 3 days, 1:30:10 batch_cost: 2.3603 data_cost: 0.0012 ips: 23.7256 images/s [10/15 03:42:33] ppdet.engine INFO: Epoch: [80] [500/523] learning_rate: 0.332331 loss_vfl: 0.890535 loss_bbox: 0.312507 loss_dfl: 0.198700 loss: 1.401635 eta: 3 days, 1:29:21 batch_cost: 2.2669 data_cost: 0.0012 ips: 24.7029 images/s [10/15 03:43:15] ppdet.engine INFO: Epoch: [80] [520/523] learning_rate: 0.332271 loss_vfl: 0.889405 loss_bbox: 0.305215 loss_dfl: 0.193178 loss: 1.395923 eta: 3 days, 1:28:19 batch_cost: 2.0249 data_cost: 0.0012 ips: 27.6564 images/s [10/15 03:43:46] ppdet.engine INFO: Epoch: [81] [ 0/523] learning_rate: 0.332262 loss_vfl: 0.891337 loss_bbox: 0.303091 loss_dfl: 0.192926 loss: 1.386215 eta: 3 days, 1:29:05 batch_cost: 2.9911 data_cost: 0.6702 ips: 18.7222 images/s [10/15 03:44:35] ppdet.engine INFO: Epoch: [81] [ 20/523] learning_rate: 0.332202 loss_vfl: 0.897095 loss_bbox: 0.293655 loss_dfl: 0.185956 loss: 1.366584 eta: 3 days, 1:28:20 batch_cost: 2.3355 data_cost: 0.0016 ips: 23.9773 images/s [10/15 03:45:22] ppdet.engine INFO: Epoch: [81] [ 40/523] learning_rate: 0.332142 loss_vfl: 0.870904 loss_bbox: 0.292184 loss_dfl: 0.196049 loss: 1.363454 eta: 3 days, 1:27:29 batch_cost: 2.2194 data_cost: 0.0013 ips: 25.2319 images/s [10/15 03:46:10] ppdet.engine INFO: Epoch: [81] [ 60/523] learning_rate: 0.332082 loss_vfl: 0.901019 loss_bbox: 0.290857 loss_dfl: 0.186223 loss: 1.371725 eta: 3 days, 1:26:41 batch_cost: 2.2735 data_cost: 0.0013 ips: 24.6321 images/s [10/15 03:46:59] ppdet.engine INFO: Epoch: [81] [ 80/523] learning_rate: 0.332022 loss_vfl: 0.891293 loss_bbox: 0.299827 loss_dfl: 0.192928 loss: 1.354217 eta: 3 days, 1:25:54 batch_cost: 2.3076 data_cost: 0.0012 ips: 24.2677 images/s [10/15 03:47:48] ppdet.engine INFO: Epoch: [81] [100/523] learning_rate: 0.331962 loss_vfl: 0.889686 loss_bbox: 0.285072 loss_dfl: 0.191884 loss: 1.372496 eta: 3 days, 1:25:08 batch_cost: 2.3105 data_cost: 0.0013 ips: 24.2370 images/s [10/15 03:48:36] ppdet.engine INFO: Epoch: [81] [120/523] learning_rate: 0.331902 loss_vfl: 0.895842 loss_bbox: 0.306597 loss_dfl: 0.190493 loss: 1.369861 eta: 3 days, 1:24:23 batch_cost: 2.3353 data_cost: 0.0012 ips: 23.9799 images/s [10/15 03:49:24] ppdet.engine INFO: Epoch: [81] [140/523] learning_rate: 0.331841 loss_vfl: 0.891465 loss_bbox: 0.301161 loss_dfl: 0.198294 loss: 1.400190 eta: 3 days, 1:23:36 batch_cost: 2.2926 data_cost: 0.0012 ips: 24.4265 images/s [10/15 03:50:13] ppdet.engine INFO: Epoch: [81] [160/523] learning_rate: 0.331781 loss_vfl: 0.880676 loss_bbox: 0.306428 loss_dfl: 0.196232 loss: 1.409227 eta: 3 days, 1:22:49 batch_cost: 2.2931 data_cost: 0.0013 ips: 24.4215 images/s [10/15 03:51:01] ppdet.engine INFO: Epoch: [81] [180/523] learning_rate: 0.331721 loss_vfl: 0.892751 loss_bbox: 0.310032 loss_dfl: 0.192994 loss: 1.413202 eta: 3 days, 1:22:03 batch_cost: 2.3048 data_cost: 0.0013 ips: 24.2974 images/s [10/15 03:51:51] ppdet.engine INFO: Epoch: [81] [200/523] learning_rate: 0.331661 loss_vfl: 0.888682 loss_bbox: 0.307810 loss_dfl: 0.195322 loss: 1.374994 eta: 3 days, 1:21:20 batch_cost: 2.3830 data_cost: 0.0014 ips: 23.4993 images/s [10/15 03:52:40] ppdet.engine INFO: Epoch: [81] [220/523] learning_rate: 0.331600 loss_vfl: 0.883580 loss_bbox: 0.319751 loss_dfl: 0.193725 loss: 1.415267 eta: 3 days, 1:20:35 batch_cost: 2.3271 data_cost: 0.0013 ips: 24.0643 images/s [10/15 03:53:27] ppdet.engine INFO: Epoch: [81] [240/523] learning_rate: 0.331540 loss_vfl: 0.893405 loss_bbox: 0.291948 loss_dfl: 0.189521 loss: 1.367654 eta: 3 days, 1:19:44 batch_cost: 2.2238 data_cost: 0.0013 ips: 25.1824 images/s [10/15 03:54:14] ppdet.engine INFO: Epoch: [81] [260/523] learning_rate: 0.331480 loss_vfl: 0.892339 loss_bbox: 0.291667 loss_dfl: 0.194696 loss: 1.388938 eta: 3 days, 1:18:54 batch_cost: 2.2348 data_cost: 0.0013 ips: 25.0580 images/s [10/15 03:55:03] ppdet.engine INFO: Epoch: [81] [280/523] learning_rate: 0.331419 loss_vfl: 0.888031 loss_bbox: 0.307859 loss_dfl: 0.201783 loss: 1.421277 eta: 3 days, 1:18:08 batch_cost: 2.3168 data_cost: 0.0012 ips: 24.1715 images/s [10/15 03:55:52] ppdet.engine INFO: Epoch: [81] [300/523] learning_rate: 0.331359 loss_vfl: 0.893650 loss_bbox: 0.301429 loss_dfl: 0.196927 loss: 1.419706 eta: 3 days, 1:17:26 batch_cost: 2.3822 data_cost: 0.0013 ips: 23.5075 images/s [10/15 03:56:42] ppdet.engine INFO: Epoch: [81] [320/523] learning_rate: 0.331298 loss_vfl: 0.904191 loss_bbox: 0.309831 loss_dfl: 0.198268 loss: 1.418016 eta: 3 days, 1:16:44 batch_cost: 2.3857 data_cost: 0.0020 ips: 23.4728 images/s [10/15 03:57:31] ppdet.engine INFO: Epoch: [81] [340/523] learning_rate: 0.331238 loss_vfl: 0.895747 loss_bbox: 0.313921 loss_dfl: 0.205831 loss: 1.416159 eta: 3 days, 1:15:58 batch_cost: 2.3208 data_cost: 0.0013 ips: 24.1298 images/s [10/15 03:58:20] ppdet.engine INFO: Epoch: [81] [360/523] learning_rate: 0.331178 loss_vfl: 0.896426 loss_bbox: 0.307130 loss_dfl: 0.193180 loss: 1.408305 eta: 3 days, 1:15:13 batch_cost: 2.3223 data_cost: 0.0012 ips: 24.1135 images/s [10/15 03:59:08] ppdet.engine INFO: Epoch: [81] [380/523] learning_rate: 0.331117 loss_vfl: 0.904316 loss_bbox: 0.296990 loss_dfl: 0.184909 loss: 1.390186 eta: 3 days, 1:14:25 batch_cost: 2.2862 data_cost: 0.0013 ips: 24.4949 images/s [10/15 03:59:55] ppdet.engine INFO: Epoch: [81] [400/523] learning_rate: 0.331057 loss_vfl: 0.897655 loss_bbox: 0.298136 loss_dfl: 0.189673 loss: 1.388222 eta: 3 days, 1:13:36 batch_cost: 2.2433 data_cost: 0.0023 ips: 24.9629 images/s [10/15 04:00:43] ppdet.engine INFO: Epoch: [81] [420/523] learning_rate: 0.330996 loss_vfl: 0.911955 loss_bbox: 0.317437 loss_dfl: 0.196994 loss: 1.423047 eta: 3 days, 1:12:48 batch_cost: 2.2902 data_cost: 0.0012 ips: 24.4516 images/s [10/15 04:01:30] ppdet.engine INFO: Epoch: [81] [440/523] learning_rate: 0.330936 loss_vfl: 0.887310 loss_bbox: 0.301259 loss_dfl: 0.192379 loss: 1.380914 eta: 3 days, 1:12:00 batch_cost: 2.2712 data_cost: 0.0013 ips: 24.6563 images/s [10/15 04:02:20] ppdet.engine INFO: Epoch: [81] [460/523] learning_rate: 0.330875 loss_vfl: 0.896807 loss_bbox: 0.305500 loss_dfl: 0.191888 loss: 1.388512 eta: 3 days, 1:11:16 batch_cost: 2.3510 data_cost: 0.0012 ips: 23.8198 images/s [10/15 04:03:08] ppdet.engine INFO: Epoch: [81] [480/523] learning_rate: 0.330814 loss_vfl: 0.892487 loss_bbox: 0.306106 loss_dfl: 0.193742 loss: 1.394389 eta: 3 days, 1:10:30 batch_cost: 2.3119 data_cost: 0.0020 ips: 24.2225 images/s [10/15 04:03:57] ppdet.engine INFO: Epoch: [81] [500/523] learning_rate: 0.330754 loss_vfl: 0.890475 loss_bbox: 0.321157 loss_dfl: 0.203523 loss: 1.400369 eta: 3 days, 1:09:44 batch_cost: 2.3201 data_cost: 0.0030 ips: 24.1372 images/s [10/15 04:04:40] ppdet.engine INFO: Epoch: [81] [520/523] learning_rate: 0.330693 loss_vfl: 0.888785 loss_bbox: 0.320906 loss_dfl: 0.200839 loss: 1.404691 eta: 3 days, 1:08:44 batch_cost: 2.0492 data_cost: 0.0012 ips: 27.3279 images/s [10/15 04:05:09] ppdet.engine INFO: Epoch: [82] [ 0/523] learning_rate: 0.330684 loss_vfl: 0.897496 loss_bbox: 0.317382 loss_dfl: 0.203387 loss: 1.408713 eta: 3 days, 1:09:28 batch_cost: 3.0105 data_cost: 0.7987 ips: 18.6015 images/s [10/15 04:06:02] ppdet.engine INFO: Epoch: [82] [ 20/523] learning_rate: 0.330623 loss_vfl: 0.907759 loss_bbox: 0.285981 loss_dfl: 0.186206 loss: 1.385692 eta: 3 days, 1:08:53 batch_cost: 2.5195 data_cost: 0.0014 ips: 22.2262 images/s [10/15 04:06:51] ppdet.engine INFO: Epoch: [82] [ 40/523] learning_rate: 0.330563 loss_vfl: 0.900753 loss_bbox: 0.298404 loss_dfl: 0.186143 loss: 1.396461 eta: 3 days, 1:08:06 batch_cost: 2.2987 data_cost: 0.0018 ips: 24.3617 images/s [10/15 04:07:39] ppdet.engine INFO: Epoch: [82] [ 60/523] learning_rate: 0.330502 loss_vfl: 0.868161 loss_bbox: 0.309770 loss_dfl: 0.203575 loss: 1.398360 eta: 3 days, 1:07:20 batch_cost: 2.3200 data_cost: 0.0013 ips: 24.1379 images/s [10/15 04:08:29] ppdet.engine INFO: Epoch: [82] [ 80/523] learning_rate: 0.330441 loss_vfl: 0.904266 loss_bbox: 0.302844 loss_dfl: 0.193999 loss: 1.409250 eta: 3 days, 1:06:37 batch_cost: 2.3695 data_cost: 0.0014 ips: 23.6335 images/s [10/15 04:09:18] ppdet.engine INFO: Epoch: [82] [100/523] learning_rate: 0.330381 loss_vfl: 0.904689 loss_bbox: 0.326996 loss_dfl: 0.202769 loss: 1.407388 eta: 3 days, 1:05:52 batch_cost: 2.3308 data_cost: 0.0012 ips: 24.0260 images/s [10/15 04:10:06] ppdet.engine INFO: Epoch: [82] [120/523] learning_rate: 0.330320 loss_vfl: 0.881772 loss_bbox: 0.312785 loss_dfl: 0.192271 loss: 1.377037 eta: 3 days, 1:05:04 batch_cost: 2.2802 data_cost: 0.0014 ips: 24.5598 images/s [10/15 04:10:52] ppdet.engine INFO: Epoch: [82] [140/523] learning_rate: 0.330259 loss_vfl: 0.877887 loss_bbox: 0.311755 loss_dfl: 0.198727 loss: 1.396289 eta: 3 days, 1:04:15 batch_cost: 2.2465 data_cost: 0.0013 ips: 24.9277 images/s [10/15 04:11:41] ppdet.engine INFO: Epoch: [82] [160/523] learning_rate: 0.330198 loss_vfl: 0.896815 loss_bbox: 0.314069 loss_dfl: 0.199872 loss: 1.418598 eta: 3 days, 1:03:30 batch_cost: 2.3301 data_cost: 0.0014 ips: 24.0333 images/s [10/15 04:12:31] ppdet.engine INFO: Epoch: [82] [180/523] learning_rate: 0.330138 loss_vfl: 0.890794 loss_bbox: 0.297135 loss_dfl: 0.192558 loss: 1.379160 eta: 3 days, 1:02:46 batch_cost: 2.3537 data_cost: 0.0014 ips: 23.7923 images/s [10/15 04:13:20] ppdet.engine INFO: Epoch: [82] [200/523] learning_rate: 0.330077 loss_vfl: 0.902895 loss_bbox: 0.313588 loss_dfl: 0.204039 loss: 1.445555 eta: 3 days, 1:02:02 batch_cost: 2.3503 data_cost: 0.0013 ips: 23.8270 images/s [10/15 04:14:08] ppdet.engine INFO: Epoch: [82] [220/523] learning_rate: 0.330016 loss_vfl: 0.899368 loss_bbox: 0.316265 loss_dfl: 0.200940 loss: 1.409345 eta: 3 days, 1:01:15 batch_cost: 2.2993 data_cost: 0.0013 ips: 24.3551 images/s [10/15 04:14:56] ppdet.engine INFO: Epoch: [82] [240/523] learning_rate: 0.329955 loss_vfl: 0.901398 loss_bbox: 0.306978 loss_dfl: 0.193278 loss: 1.407706 eta: 3 days, 1:00:28 batch_cost: 2.2996 data_cost: 0.0013 ips: 24.3525 images/s [10/15 04:15:43] ppdet.engine INFO: Epoch: [82] [260/523] learning_rate: 0.329894 loss_vfl: 0.882367 loss_bbox: 0.315482 loss_dfl: 0.200933 loss: 1.403207 eta: 3 days, 0:59:39 batch_cost: 2.2556 data_cost: 0.0013 ips: 24.8272 images/s [10/15 04:16:31] ppdet.engine INFO: Epoch: [82] [280/523] learning_rate: 0.329833 loss_vfl: 0.899719 loss_bbox: 0.309108 loss_dfl: 0.197808 loss: 1.402924 eta: 3 days, 0:58:53 batch_cost: 2.3135 data_cost: 0.0014 ips: 24.2059 images/s [10/15 04:17:20] ppdet.engine INFO: Epoch: [82] [300/523] learning_rate: 0.329772 loss_vfl: 0.894890 loss_bbox: 0.308787 loss_dfl: 0.196016 loss: 1.407464 eta: 3 days, 0:58:07 batch_cost: 2.3158 data_cost: 0.0014 ips: 24.1813 images/s [10/15 04:18:09] ppdet.engine INFO: Epoch: [82] [320/523] learning_rate: 0.329711 loss_vfl: 0.895403 loss_bbox: 0.305685 loss_dfl: 0.199150 loss: 1.408143 eta: 3 days, 0:57:22 batch_cost: 2.3232 data_cost: 0.0014 ips: 24.1052 images/s [10/15 04:18:56] ppdet.engine INFO: Epoch: [82] [340/523] learning_rate: 0.329650 loss_vfl: 0.890835 loss_bbox: 0.309733 loss_dfl: 0.201015 loss: 1.403519 eta: 3 days, 0:56:32 batch_cost: 2.2505 data_cost: 0.0013 ips: 24.8829 images/s [10/15 04:19:45] ppdet.engine INFO: Epoch: [82] [360/523] learning_rate: 0.329589 loss_vfl: 0.901391 loss_bbox: 0.306379 loss_dfl: 0.185615 loss: 1.385813 eta: 3 days, 0:55:46 batch_cost: 2.3080 data_cost: 0.0013 ips: 24.2634 images/s [10/15 04:20:34] ppdet.engine INFO: Epoch: [82] [380/523] learning_rate: 0.329528 loss_vfl: 0.905961 loss_bbox: 0.319783 loss_dfl: 0.199615 loss: 1.430476 eta: 3 days, 0:54:59 batch_cost: 2.3026 data_cost: 0.0015 ips: 24.3206 images/s [10/15 04:21:22] ppdet.engine INFO: Epoch: [82] [400/523] learning_rate: 0.329467 loss_vfl: 0.911198 loss_bbox: 0.298477 loss_dfl: 0.187381 loss: 1.395521 eta: 3 days, 0:54:13 batch_cost: 2.3165 data_cost: 0.0014 ips: 24.1744 images/s [10/15 04:22:11] ppdet.engine INFO: Epoch: [82] [420/523] learning_rate: 0.329406 loss_vfl: 0.903438 loss_bbox: 0.308664 loss_dfl: 0.197151 loss: 1.423143 eta: 3 days, 0:53:28 batch_cost: 2.3253 data_cost: 0.0013 ips: 24.0833 images/s [10/15 04:22:58] ppdet.engine INFO: Epoch: [82] [440/523] learning_rate: 0.329345 loss_vfl: 0.885248 loss_bbox: 0.294938 loss_dfl: 0.185247 loss: 1.375515 eta: 3 days, 0:52:39 batch_cost: 2.2591 data_cost: 0.0013 ips: 24.7891 images/s [10/15 04:23:46] ppdet.engine INFO: Epoch: [82] [460/523] learning_rate: 0.329284 loss_vfl: 0.920597 loss_bbox: 0.305935 loss_dfl: 0.191409 loss: 1.416376 eta: 3 days, 0:51:51 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5945 images/s [10/15 04:24:35] ppdet.engine INFO: Epoch: [82] [480/523] learning_rate: 0.329223 loss_vfl: 0.892870 loss_bbox: 0.309442 loss_dfl: 0.199478 loss: 1.396227 eta: 3 days, 0:51:06 batch_cost: 2.3313 data_cost: 0.0013 ips: 24.0208 images/s [10/15 04:25:23] ppdet.engine INFO: Epoch: [82] [500/523] learning_rate: 0.329162 loss_vfl: 0.909979 loss_bbox: 0.286590 loss_dfl: 0.190709 loss: 1.405184 eta: 3 days, 0:50:19 batch_cost: 2.2933 data_cost: 0.0015 ips: 24.4193 images/s [10/15 04:26:06] ppdet.engine INFO: Epoch: [82] [520/523] learning_rate: 0.329101 loss_vfl: 0.888124 loss_bbox: 0.308455 loss_dfl: 0.199325 loss: 1.384897 eta: 3 days, 0:49:20 batch_cost: 2.0652 data_cost: 0.0013 ips: 27.1162 images/s [10/15 04:26:37] ppdet.engine INFO: Epoch: [83] [ 0/523] learning_rate: 0.329092 loss_vfl: 0.885958 loss_bbox: 0.305318 loss_dfl: 0.198577 loss: 1.384310 eta: 3 days, 0:50:05 batch_cost: 3.0424 data_cost: 0.7813 ips: 18.4067 images/s [10/15 04:27:26] ppdet.engine INFO: Epoch: [83] [ 20/523] learning_rate: 0.329030 loss_vfl: 0.882272 loss_bbox: 0.291051 loss_dfl: 0.194788 loss: 1.367652 eta: 3 days, 0:49:22 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6483 images/s [10/15 04:28:17] ppdet.engine INFO: Epoch: [83] [ 40/523] learning_rate: 0.328969 loss_vfl: 0.886838 loss_bbox: 0.316811 loss_dfl: 0.200761 loss: 1.387061 eta: 3 days, 0:48:40 batch_cost: 2.4002 data_cost: 0.0014 ips: 23.3314 images/s [10/15 04:29:04] ppdet.engine INFO: Epoch: [83] [ 60/523] learning_rate: 0.328908 loss_vfl: 0.881761 loss_bbox: 0.299946 loss_dfl: 0.192760 loss: 1.367901 eta: 3 days, 0:47:52 batch_cost: 2.2657 data_cost: 0.0013 ips: 24.7160 images/s [10/15 04:29:53] ppdet.engine INFO: Epoch: [83] [ 80/523] learning_rate: 0.328847 loss_vfl: 0.898533 loss_bbox: 0.304087 loss_dfl: 0.194405 loss: 1.389977 eta: 3 days, 0:47:06 batch_cost: 2.3205 data_cost: 0.0026 ips: 24.1328 images/s [10/15 04:30:44] ppdet.engine INFO: Epoch: [83] [100/523] learning_rate: 0.328785 loss_vfl: 0.875769 loss_bbox: 0.310482 loss_dfl: 0.200533 loss: 1.395507 eta: 3 days, 0:46:26 batch_cost: 2.4282 data_cost: 0.0012 ips: 23.0623 images/s [10/15 04:31:32] ppdet.engine INFO: Epoch: [83] [120/523] learning_rate: 0.328724 loss_vfl: 0.897697 loss_bbox: 0.315835 loss_dfl: 0.205328 loss: 1.408747 eta: 3 days, 0:45:40 batch_cost: 2.3181 data_cost: 0.0013 ips: 24.1582 images/s [10/15 04:32:21] ppdet.engine INFO: Epoch: [83] [140/523] learning_rate: 0.328663 loss_vfl: 0.900843 loss_bbox: 0.296465 loss_dfl: 0.187039 loss: 1.395183 eta: 3 days, 0:44:53 batch_cost: 2.2902 data_cost: 0.0013 ips: 24.4515 images/s [10/15 04:33:10] ppdet.engine INFO: Epoch: [83] [160/523] learning_rate: 0.328601 loss_vfl: 0.888538 loss_bbox: 0.302697 loss_dfl: 0.192171 loss: 1.385575 eta: 3 days, 0:44:11 batch_cost: 2.3896 data_cost: 0.0013 ips: 23.4348 images/s [10/15 04:34:00] ppdet.engine INFO: Epoch: [83] [180/523] learning_rate: 0.328540 loss_vfl: 0.896054 loss_bbox: 0.289381 loss_dfl: 0.191757 loss: 1.374405 eta: 3 days, 0:43:27 batch_cost: 2.3577 data_cost: 0.0014 ips: 23.7523 images/s [10/15 04:34:48] ppdet.engine INFO: Epoch: [83] [200/523] learning_rate: 0.328479 loss_vfl: 0.884872 loss_bbox: 0.306931 loss_dfl: 0.197581 loss: 1.390910 eta: 3 days, 0:42:41 batch_cost: 2.3172 data_cost: 0.0013 ips: 24.1669 images/s [10/15 04:35:36] ppdet.engine INFO: Epoch: [83] [220/523] learning_rate: 0.328417 loss_vfl: 0.883038 loss_bbox: 0.286185 loss_dfl: 0.192206 loss: 1.379851 eta: 3 days, 0:41:52 batch_cost: 2.2568 data_cost: 0.0013 ips: 24.8135 images/s [10/15 04:36:25] ppdet.engine INFO: Epoch: [83] [240/523] learning_rate: 0.328356 loss_vfl: 0.891034 loss_bbox: 0.328614 loss_dfl: 0.202333 loss: 1.420272 eta: 3 days, 0:41:07 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0986 images/s [10/15 04:37:13] ppdet.engine INFO: Epoch: [83] [260/523] learning_rate: 0.328295 loss_vfl: 0.881956 loss_bbox: 0.331305 loss_dfl: 0.209968 loss: 1.409176 eta: 3 days, 0:40:19 batch_cost: 2.2826 data_cost: 0.0020 ips: 24.5335 images/s [10/15 04:38:02] ppdet.engine INFO: Epoch: [83] [280/523] learning_rate: 0.328233 loss_vfl: 0.869512 loss_bbox: 0.310716 loss_dfl: 0.196087 loss: 1.372584 eta: 3 days, 0:39:33 batch_cost: 2.3138 data_cost: 0.0014 ips: 24.2026 images/s [10/15 04:38:51] ppdet.engine INFO: Epoch: [83] [300/523] learning_rate: 0.328172 loss_vfl: 0.882440 loss_bbox: 0.286967 loss_dfl: 0.184597 loss: 1.366387 eta: 3 days, 0:38:49 batch_cost: 2.3414 data_cost: 0.0014 ips: 23.9171 images/s [10/15 04:39:39] ppdet.engine INFO: Epoch: [83] [320/523] learning_rate: 0.328110 loss_vfl: 0.907979 loss_bbox: 0.286578 loss_dfl: 0.190881 loss: 1.386014 eta: 3 days, 0:38:00 batch_cost: 2.2685 data_cost: 0.0014 ips: 24.6856 images/s [10/15 04:40:27] ppdet.engine INFO: Epoch: [83] [340/523] learning_rate: 0.328049 loss_vfl: 0.896654 loss_bbox: 0.323322 loss_dfl: 0.201066 loss: 1.418539 eta: 3 days, 0:37:12 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5943 images/s [10/15 04:41:16] ppdet.engine INFO: Epoch: [83] [360/523] learning_rate: 0.327987 loss_vfl: 0.890221 loss_bbox: 0.328894 loss_dfl: 0.200219 loss: 1.428304 eta: 3 days, 0:36:26 batch_cost: 2.3072 data_cost: 0.0013 ips: 24.2720 images/s [10/15 04:42:03] ppdet.engine INFO: Epoch: [83] [380/523] learning_rate: 0.327926 loss_vfl: 0.912239 loss_bbox: 0.296958 loss_dfl: 0.191223 loss: 1.388394 eta: 3 days, 0:35:36 batch_cost: 2.2436 data_cost: 0.0017 ips: 24.9595 images/s [10/15 04:42:51] ppdet.engine INFO: Epoch: [83] [400/523] learning_rate: 0.327864 loss_vfl: 0.898962 loss_bbox: 0.309672 loss_dfl: 0.205631 loss: 1.426932 eta: 3 days, 0:34:49 batch_cost: 2.2873 data_cost: 0.0014 ips: 24.4827 images/s [10/15 04:43:39] ppdet.engine INFO: Epoch: [83] [420/523] learning_rate: 0.327802 loss_vfl: 0.892338 loss_bbox: 0.300273 loss_dfl: 0.196562 loss: 1.403035 eta: 3 days, 0:34:03 batch_cost: 2.3139 data_cost: 0.0013 ips: 24.2015 images/s [10/15 04:44:28] ppdet.engine INFO: Epoch: [83] [440/523] learning_rate: 0.327741 loss_vfl: 0.884996 loss_bbox: 0.311919 loss_dfl: 0.195450 loss: 1.408755 eta: 3 days, 0:33:18 batch_cost: 2.3325 data_cost: 0.0013 ips: 24.0087 images/s [10/15 04:45:17] ppdet.engine INFO: Epoch: [83] [460/523] learning_rate: 0.327679 loss_vfl: 0.901134 loss_bbox: 0.308519 loss_dfl: 0.198724 loss: 1.415374 eta: 3 days, 0:32:33 batch_cost: 2.3460 data_cost: 0.0012 ips: 23.8705 images/s [10/15 04:46:05] ppdet.engine INFO: Epoch: [83] [480/523] learning_rate: 0.327617 loss_vfl: 0.899145 loss_bbox: 0.294132 loss_dfl: 0.190958 loss: 1.397189 eta: 3 days, 0:31:43 batch_cost: 2.2316 data_cost: 0.0013 ips: 25.0945 images/s [10/15 04:46:53] ppdet.engine INFO: Epoch: [83] [500/523] learning_rate: 0.327556 loss_vfl: 0.908688 loss_bbox: 0.313828 loss_dfl: 0.196686 loss: 1.407209 eta: 3 days, 0:30:56 batch_cost: 2.3017 data_cost: 0.0013 ips: 24.3301 images/s [10/15 04:47:34] ppdet.engine INFO: Epoch: [83] [520/523] learning_rate: 0.327494 loss_vfl: 0.895780 loss_bbox: 0.314521 loss_dfl: 0.202098 loss: 1.422820 eta: 3 days, 0:29:54 batch_cost: 1.9864 data_cost: 0.0012 ips: 28.1913 images/s [10/15 04:48:01] ppdet.engine INFO: Epoch: [84] [ 0/523] learning_rate: 0.327485 loss_vfl: 0.893345 loss_bbox: 0.318782 loss_dfl: 0.203162 loss: 1.428461 eta: 3 days, 0:30:28 batch_cost: 2.7949 data_cost: 0.4397 ips: 20.0365 images/s [10/15 04:48:54] ppdet.engine INFO: Epoch: [84] [ 20/523] learning_rate: 0.327423 loss_vfl: 0.886870 loss_bbox: 0.294076 loss_dfl: 0.197505 loss: 1.378220 eta: 3 days, 0:29:53 batch_cost: 2.5353 data_cost: 0.0018 ips: 22.0880 images/s [10/15 04:49:44] ppdet.engine INFO: Epoch: [84] [ 40/523] learning_rate: 0.327361 loss_vfl: 0.900714 loss_bbox: 0.309816 loss_dfl: 0.191137 loss: 1.392910 eta: 3 days, 0:29:10 batch_cost: 2.3791 data_cost: 0.0014 ips: 23.5382 images/s [10/15 04:50:32] ppdet.engine INFO: Epoch: [84] [ 60/523] learning_rate: 0.327300 loss_vfl: 0.885439 loss_bbox: 0.291800 loss_dfl: 0.192037 loss: 1.372084 eta: 3 days, 0:28:24 batch_cost: 2.3158 data_cost: 0.0013 ips: 24.1817 images/s [10/15 04:51:20] ppdet.engine INFO: Epoch: [84] [ 80/523] learning_rate: 0.327238 loss_vfl: 0.891336 loss_bbox: 0.300747 loss_dfl: 0.192214 loss: 1.401021 eta: 3 days, 0:27:36 batch_cost: 2.2680 data_cost: 0.0013 ips: 24.6912 images/s [10/15 04:52:08] ppdet.engine INFO: Epoch: [84] [100/523] learning_rate: 0.327176 loss_vfl: 0.870026 loss_bbox: 0.292159 loss_dfl: 0.194290 loss: 1.382100 eta: 3 days, 0:26:47 batch_cost: 2.2685 data_cost: 0.0014 ips: 24.6862 images/s [10/15 04:52:56] ppdet.engine INFO: Epoch: [84] [120/523] learning_rate: 0.327114 loss_vfl: 0.894732 loss_bbox: 0.300918 loss_dfl: 0.193040 loss: 1.399576 eta: 3 days, 0:26:02 batch_cost: 2.3272 data_cost: 0.0014 ips: 24.0634 images/s [10/15 04:53:44] ppdet.engine INFO: Epoch: [84] [140/523] learning_rate: 0.327052 loss_vfl: 0.880053 loss_bbox: 0.313186 loss_dfl: 0.198833 loss: 1.382897 eta: 3 days, 0:25:13 batch_cost: 2.2471 data_cost: 0.0013 ips: 24.9210 images/s [10/15 04:54:32] ppdet.engine INFO: Epoch: [84] [160/523] learning_rate: 0.326990 loss_vfl: 0.888101 loss_bbox: 0.324152 loss_dfl: 0.204279 loss: 1.433001 eta: 3 days, 0:24:28 batch_cost: 2.3324 data_cost: 0.0013 ips: 24.0098 images/s [10/15 04:55:19] ppdet.engine INFO: Epoch: [84] [180/523] learning_rate: 0.326929 loss_vfl: 0.896341 loss_bbox: 0.318247 loss_dfl: 0.202576 loss: 1.424919 eta: 3 days, 0:23:37 batch_cost: 2.2223 data_cost: 0.0013 ips: 25.1993 images/s [10/15 04:56:07] ppdet.engine INFO: Epoch: [84] [200/523] learning_rate: 0.326867 loss_vfl: 0.907588 loss_bbox: 0.297604 loss_dfl: 0.192535 loss: 1.386411 eta: 3 days, 0:22:50 batch_cost: 2.3015 data_cost: 0.0012 ips: 24.3316 images/s [10/15 04:56:55] ppdet.engine INFO: Epoch: [84] [220/523] learning_rate: 0.326805 loss_vfl: 0.899834 loss_bbox: 0.302849 loss_dfl: 0.192136 loss: 1.410666 eta: 3 days, 0:22:03 batch_cost: 2.2845 data_cost: 0.0014 ips: 24.5131 images/s [10/15 04:57:43] ppdet.engine INFO: Epoch: [84] [240/523] learning_rate: 0.326743 loss_vfl: 0.884988 loss_bbox: 0.305004 loss_dfl: 0.190878 loss: 1.394826 eta: 3 days, 0:21:14 batch_cost: 2.2745 data_cost: 0.0013 ips: 24.6213 images/s [10/15 04:58:31] ppdet.engine INFO: Epoch: [84] [260/523] learning_rate: 0.326681 loss_vfl: 0.896645 loss_bbox: 0.302063 loss_dfl: 0.194958 loss: 1.393548 eta: 3 days, 0:20:28 batch_cost: 2.3087 data_cost: 0.0016 ips: 24.2556 images/s [10/15 04:59:21] ppdet.engine INFO: Epoch: [84] [280/523] learning_rate: 0.326619 loss_vfl: 0.900407 loss_bbox: 0.306682 loss_dfl: 0.196760 loss: 1.413503 eta: 3 days, 0:19:43 batch_cost: 2.3271 data_cost: 0.0013 ips: 24.0642 images/s [10/15 05:00:09] ppdet.engine INFO: Epoch: [84] [300/523] learning_rate: 0.326557 loss_vfl: 0.894921 loss_bbox: 0.276488 loss_dfl: 0.186470 loss: 1.396513 eta: 3 days, 0:18:55 batch_cost: 2.2760 data_cost: 0.0013 ips: 24.6044 images/s [10/15 05:00:58] ppdet.engine INFO: Epoch: [84] [320/523] learning_rate: 0.326495 loss_vfl: 0.898305 loss_bbox: 0.308412 loss_dfl: 0.195409 loss: 1.411031 eta: 3 days, 0:18:11 batch_cost: 2.3565 data_cost: 0.0012 ips: 23.7637 images/s [10/15 05:01:46] ppdet.engine INFO: Epoch: [84] [340/523] learning_rate: 0.326433 loss_vfl: 0.890445 loss_bbox: 0.319370 loss_dfl: 0.198459 loss: 1.402682 eta: 3 days, 0:17:23 batch_cost: 2.2790 data_cost: 0.0012 ips: 24.5723 images/s [10/15 05:02:35] ppdet.engine INFO: Epoch: [84] [360/523] learning_rate: 0.326371 loss_vfl: 0.859164 loss_bbox: 0.307372 loss_dfl: 0.196807 loss: 1.388993 eta: 3 days, 0:16:39 batch_cost: 2.3497 data_cost: 0.0013 ips: 23.8329 images/s [10/15 05:03:23] ppdet.engine INFO: Epoch: [84] [380/523] learning_rate: 0.326309 loss_vfl: 0.892940 loss_bbox: 0.307486 loss_dfl: 0.199516 loss: 1.398578 eta: 3 days, 0:15:52 batch_cost: 2.3053 data_cost: 0.0012 ips: 24.2924 images/s [10/15 05:04:12] ppdet.engine INFO: Epoch: [84] [400/523] learning_rate: 0.326246 loss_vfl: 0.889622 loss_bbox: 0.320480 loss_dfl: 0.208720 loss: 1.407057 eta: 3 days, 0:15:06 batch_cost: 2.3113 data_cost: 0.0012 ips: 24.2288 images/s [10/15 05:05:04] ppdet.engine INFO: Epoch: [84] [420/523] learning_rate: 0.326184 loss_vfl: 0.880875 loss_bbox: 0.311429 loss_dfl: 0.192565 loss: 1.387835 eta: 3 days, 0:14:29 batch_cost: 2.4898 data_cost: 0.0020 ips: 22.4917 images/s [10/15 05:05:52] ppdet.engine INFO: Epoch: [84] [440/523] learning_rate: 0.326122 loss_vfl: 0.932825 loss_bbox: 0.302677 loss_dfl: 0.193379 loss: 1.415693 eta: 3 days, 0:13:43 batch_cost: 2.3200 data_cost: 0.0012 ips: 24.1376 images/s [10/15 05:06:41] ppdet.engine INFO: Epoch: [84] [460/523] learning_rate: 0.326060 loss_vfl: 0.911144 loss_bbox: 0.303979 loss_dfl: 0.192008 loss: 1.414567 eta: 3 days, 0:12:59 batch_cost: 2.3527 data_cost: 0.0013 ips: 23.8024 images/s [10/15 05:07:30] ppdet.engine INFO: Epoch: [84] [480/523] learning_rate: 0.325998 loss_vfl: 0.891747 loss_bbox: 0.312274 loss_dfl: 0.199668 loss: 1.400490 eta: 3 days, 0:12:15 batch_cost: 2.3460 data_cost: 0.0015 ips: 23.8706 images/s [10/15 05:08:19] ppdet.engine INFO: Epoch: [84] [500/523] learning_rate: 0.325936 loss_vfl: 0.893786 loss_bbox: 0.292504 loss_dfl: 0.193426 loss: 1.391266 eta: 3 days, 0:11:29 batch_cost: 2.3101 data_cost: 0.0012 ips: 24.2412 images/s [10/15 05:09:02] ppdet.engine INFO: Epoch: [84] [520/523] learning_rate: 0.325873 loss_vfl: 0.894185 loss_bbox: 0.304797 loss_dfl: 0.197541 loss: 1.399040 eta: 3 days, 0:10:31 batch_cost: 2.0830 data_cost: 0.0012 ips: 26.8849 images/s [10/15 05:09:28] ppdet.engine INFO: Epoch: [85] [ 0/523] learning_rate: 0.325864 loss_vfl: 0.885682 loss_bbox: 0.316892 loss_dfl: 0.198060 loss: 1.399040 eta: 3 days, 0:11:01 batch_cost: 2.8082 data_cost: 0.4730 ips: 19.9415 images/s [10/15 05:10:20] ppdet.engine INFO: Epoch: [85] [ 20/523] learning_rate: 0.325802 loss_vfl: 0.880328 loss_bbox: 0.309211 loss_dfl: 0.199069 loss: 1.377594 eta: 3 days, 0:10:26 batch_cost: 2.5287 data_cost: 0.0014 ips: 22.1456 images/s [10/15 05:11:10] ppdet.engine INFO: Epoch: [85] [ 40/523] learning_rate: 0.325740 loss_vfl: 0.890569 loss_bbox: 0.310758 loss_dfl: 0.201548 loss: 1.421147 eta: 3 days, 0:09:42 batch_cost: 2.3581 data_cost: 0.0014 ips: 23.7474 images/s [10/15 05:11:58] ppdet.engine INFO: Epoch: [85] [ 60/523] learning_rate: 0.325677 loss_vfl: 0.907068 loss_bbox: 0.302209 loss_dfl: 0.191951 loss: 1.397710 eta: 3 days, 0:08:54 batch_cost: 2.2724 data_cost: 0.0013 ips: 24.6434 images/s [10/15 05:12:45] ppdet.engine INFO: Epoch: [85] [ 80/523] learning_rate: 0.325615 loss_vfl: 0.888387 loss_bbox: 0.300625 loss_dfl: 0.195229 loss: 1.392112 eta: 3 days, 0:08:06 batch_cost: 2.2729 data_cost: 0.0013 ips: 24.6376 images/s [10/15 05:13:35] ppdet.engine INFO: Epoch: [85] [100/523] learning_rate: 0.325553 loss_vfl: 0.883710 loss_bbox: 0.311823 loss_dfl: 0.198202 loss: 1.413851 eta: 3 days, 0:07:21 batch_cost: 2.3455 data_cost: 0.0013 ips: 23.8751 images/s [10/15 05:14:23] ppdet.engine INFO: Epoch: [85] [120/523] learning_rate: 0.325490 loss_vfl: 0.894971 loss_bbox: 0.304876 loss_dfl: 0.201433 loss: 1.401602 eta: 3 days, 0:06:35 batch_cost: 2.3101 data_cost: 0.0014 ips: 24.2413 images/s [10/15 05:15:12] ppdet.engine INFO: Epoch: [85] [140/523] learning_rate: 0.325428 loss_vfl: 0.872602 loss_bbox: 0.317190 loss_dfl: 0.197883 loss: 1.386834 eta: 3 days, 0:05:50 batch_cost: 2.3246 data_cost: 0.0013 ips: 24.0898 images/s [10/15 05:16:00] ppdet.engine INFO: Epoch: [85] [160/523] learning_rate: 0.325365 loss_vfl: 0.899400 loss_bbox: 0.316525 loss_dfl: 0.200485 loss: 1.414057 eta: 3 days, 0:05:02 batch_cost: 2.2827 data_cost: 0.0013 ips: 24.5320 images/s [10/15 05:16:49] ppdet.engine INFO: Epoch: [85] [180/523] learning_rate: 0.325303 loss_vfl: 0.915609 loss_bbox: 0.284391 loss_dfl: 0.181596 loss: 1.385672 eta: 3 days, 0:04:16 batch_cost: 2.3092 data_cost: 0.0013 ips: 24.2510 images/s [10/15 05:17:37] ppdet.engine INFO: Epoch: [85] [200/523] learning_rate: 0.325241 loss_vfl: 0.881156 loss_bbox: 0.327845 loss_dfl: 0.207092 loss: 1.417461 eta: 3 days, 0:03:29 batch_cost: 2.2970 data_cost: 0.0013 ips: 24.3795 images/s [10/15 05:18:23] ppdet.engine INFO: Epoch: [85] [220/523] learning_rate: 0.325178 loss_vfl: 0.895696 loss_bbox: 0.296012 loss_dfl: 0.194383 loss: 1.401151 eta: 3 days, 0:02:37 batch_cost: 2.2074 data_cost: 0.0013 ips: 25.3693 images/s [10/15 05:19:12] ppdet.engine INFO: Epoch: [85] [240/523] learning_rate: 0.325116 loss_vfl: 0.899028 loss_bbox: 0.294001 loss_dfl: 0.187002 loss: 1.371225 eta: 3 days, 0:01:50 batch_cost: 2.2932 data_cost: 0.0012 ips: 24.4196 images/s [10/15 05:19:59] ppdet.engine INFO: Epoch: [85] [260/523] learning_rate: 0.325053 loss_vfl: 0.877680 loss_bbox: 0.284141 loss_dfl: 0.187112 loss: 1.361583 eta: 3 days, 0:00:59 batch_cost: 2.2144 data_cost: 0.0014 ips: 25.2896 images/s [10/15 05:20:48] ppdet.engine INFO: Epoch: [85] [280/523] learning_rate: 0.324991 loss_vfl: 0.899285 loss_bbox: 0.311864 loss_dfl: 0.202434 loss: 1.422585 eta: 3 days, 0:00:13 batch_cost: 2.3220 data_cost: 0.0014 ips: 24.1170 images/s [10/15 05:21:36] ppdet.engine INFO: Epoch: [85] [300/523] learning_rate: 0.324928 loss_vfl: 0.933020 loss_bbox: 0.309509 loss_dfl: 0.199467 loss: 1.431886 eta: 2 days, 23:59:26 batch_cost: 2.2952 data_cost: 0.0013 ips: 24.3988 images/s [10/15 05:22:24] ppdet.engine INFO: Epoch: [85] [320/523] learning_rate: 0.324866 loss_vfl: 0.885400 loss_bbox: 0.321296 loss_dfl: 0.200440 loss: 1.399286 eta: 2 days, 23:58:39 batch_cost: 2.2960 data_cost: 0.0021 ips: 24.3906 images/s [10/15 05:23:12] ppdet.engine INFO: Epoch: [85] [340/523] learning_rate: 0.324803 loss_vfl: 0.870294 loss_bbox: 0.309354 loss_dfl: 0.200228 loss: 1.372683 eta: 2 days, 23:57:53 batch_cost: 2.2997 data_cost: 0.0013 ips: 24.3508 images/s [10/15 05:23:58] ppdet.engine INFO: Epoch: [85] [360/523] learning_rate: 0.324740 loss_vfl: 0.895707 loss_bbox: 0.309919 loss_dfl: 0.195338 loss: 1.410075 eta: 2 days, 23:57:02 batch_cost: 2.2123 data_cost: 0.0012 ips: 25.3130 images/s [10/15 05:24:47] ppdet.engine INFO: Epoch: [85] [380/523] learning_rate: 0.324678 loss_vfl: 0.896094 loss_bbox: 0.313103 loss_dfl: 0.196217 loss: 1.401389 eta: 2 days, 23:56:18 batch_cost: 2.3582 data_cost: 0.0013 ips: 23.7465 images/s [10/15 05:25:36] ppdet.engine INFO: Epoch: [85] [400/523] learning_rate: 0.324615 loss_vfl: 0.915388 loss_bbox: 0.307995 loss_dfl: 0.195539 loss: 1.420775 eta: 2 days, 23:55:32 batch_cost: 2.3163 data_cost: 0.0012 ips: 24.1762 images/s [10/15 05:26:24] ppdet.engine INFO: Epoch: [85] [420/523] learning_rate: 0.324553 loss_vfl: 0.907310 loss_bbox: 0.317265 loss_dfl: 0.201629 loss: 1.420699 eta: 2 days, 23:54:43 batch_cost: 2.2573 data_cost: 0.0012 ips: 24.8088 images/s [10/15 05:27:11] ppdet.engine INFO: Epoch: [85] [440/523] learning_rate: 0.324490 loss_vfl: 0.893714 loss_bbox: 0.307829 loss_dfl: 0.200473 loss: 1.410590 eta: 2 days, 23:53:53 batch_cost: 2.2450 data_cost: 0.0012 ips: 24.9441 images/s [10/15 05:27:58] ppdet.engine INFO: Epoch: [85] [460/523] learning_rate: 0.324427 loss_vfl: 0.893364 loss_bbox: 0.319695 loss_dfl: 0.202187 loss: 1.417674 eta: 2 days, 23:53:05 batch_cost: 2.2778 data_cost: 0.0013 ips: 24.5852 images/s [10/15 05:28:46] ppdet.engine INFO: Epoch: [85] [480/523] learning_rate: 0.324364 loss_vfl: 0.894893 loss_bbox: 0.293299 loss_dfl: 0.192497 loss: 1.379458 eta: 2 days, 23:52:16 batch_cost: 2.2532 data_cost: 0.0013 ips: 24.8535 images/s [10/15 05:29:33] ppdet.engine INFO: Epoch: [85] [500/523] learning_rate: 0.324302 loss_vfl: 0.890534 loss_bbox: 0.302546 loss_dfl: 0.195321 loss: 1.407493 eta: 2 days, 23:51:27 batch_cost: 2.2403 data_cost: 0.0013 ips: 24.9969 images/s [10/15 05:30:15] ppdet.engine INFO: Epoch: [85] [520/523] learning_rate: 0.324239 loss_vfl: 0.927708 loss_bbox: 0.311537 loss_dfl: 0.197116 loss: 1.407764 eta: 2 days, 23:50:24 batch_cost: 1.9808 data_cost: 0.0012 ips: 28.2710 images/s [10/15 05:30:40] ppdet.engine INFO: Epoch: [86] [ 0/523] learning_rate: 0.324230 loss_vfl: 0.904967 loss_bbox: 0.303323 loss_dfl: 0.192466 loss: 1.399692 eta: 2 days, 23:50:54 batch_cost: 2.7136 data_cost: 0.2853 ips: 20.6370 images/s [10/15 05:31:33] ppdet.engine INFO: Epoch: [86] [ 20/523] learning_rate: 0.324167 loss_vfl: 0.888899 loss_bbox: 0.301324 loss_dfl: 0.193606 loss: 1.365489 eta: 2 days, 23:50:20 batch_cost: 2.5573 data_cost: 0.0013 ips: 21.8983 images/s [10/15 05:32:23] ppdet.engine INFO: Epoch: [86] [ 40/523] learning_rate: 0.324104 loss_vfl: 0.890297 loss_bbox: 0.303975 loss_dfl: 0.191294 loss: 1.380773 eta: 2 days, 23:49:36 batch_cost: 2.3569 data_cost: 0.0012 ips: 23.7596 images/s [10/15 05:33:11] ppdet.engine INFO: Epoch: [86] [ 60/523] learning_rate: 0.324041 loss_vfl: 0.879673 loss_bbox: 0.320243 loss_dfl: 0.196065 loss: 1.384261 eta: 2 days, 23:48:50 batch_cost: 2.3066 data_cost: 0.0013 ips: 24.2783 images/s [10/15 05:33:59] ppdet.engine INFO: Epoch: [86] [ 80/523] learning_rate: 0.323978 loss_vfl: 0.882050 loss_bbox: 0.314920 loss_dfl: 0.196563 loss: 1.393750 eta: 2 days, 23:48:03 batch_cost: 2.2986 data_cost: 0.0013 ips: 24.3622 images/s [10/15 05:34:47] ppdet.engine INFO: Epoch: [86] [100/523] learning_rate: 0.323915 loss_vfl: 0.898493 loss_bbox: 0.297017 loss_dfl: 0.194017 loss: 1.383660 eta: 2 days, 23:47:16 batch_cost: 2.2931 data_cost: 0.0015 ips: 24.4214 images/s [10/15 05:35:36] ppdet.engine INFO: Epoch: [86] [120/523] learning_rate: 0.323853 loss_vfl: 0.886519 loss_bbox: 0.282584 loss_dfl: 0.186379 loss: 1.356999 eta: 2 days, 23:46:29 batch_cost: 2.3003 data_cost: 0.0013 ips: 24.3443 images/s [10/15 05:36:23] ppdet.engine INFO: Epoch: [86] [140/523] learning_rate: 0.323790 loss_vfl: 0.886912 loss_bbox: 0.305750 loss_dfl: 0.194441 loss: 1.399008 eta: 2 days, 23:45:41 batch_cost: 2.2854 data_cost: 0.0013 ips: 24.5037 images/s [10/15 05:37:12] ppdet.engine INFO: Epoch: [86] [160/523] learning_rate: 0.323727 loss_vfl: 0.883981 loss_bbox: 0.302222 loss_dfl: 0.199436 loss: 1.381019 eta: 2 days, 23:44:55 batch_cost: 2.2982 data_cost: 0.0013 ips: 24.3667 images/s [10/15 05:38:01] ppdet.engine INFO: Epoch: [86] [180/523] learning_rate: 0.323664 loss_vfl: 0.890028 loss_bbox: 0.302068 loss_dfl: 0.189612 loss: 1.385120 eta: 2 days, 23:44:10 batch_cost: 2.3391 data_cost: 0.0022 ips: 23.9405 images/s [10/15 05:38:49] ppdet.engine INFO: Epoch: [86] [200/523] learning_rate: 0.323601 loss_vfl: 0.896074 loss_bbox: 0.296266 loss_dfl: 0.191712 loss: 1.395425 eta: 2 days, 23:43:23 batch_cost: 2.2963 data_cost: 0.0013 ips: 24.3874 images/s [10/15 05:39:38] ppdet.engine INFO: Epoch: [86] [220/523] learning_rate: 0.323538 loss_vfl: 0.894708 loss_bbox: 0.294323 loss_dfl: 0.191141 loss: 1.369612 eta: 2 days, 23:42:38 batch_cost: 2.3444 data_cost: 0.0015 ips: 23.8867 images/s [10/15 05:40:27] ppdet.engine INFO: Epoch: [86] [240/523] learning_rate: 0.323475 loss_vfl: 0.892971 loss_bbox: 0.310521 loss_dfl: 0.193974 loss: 1.401456 eta: 2 days, 23:41:52 batch_cost: 2.3121 data_cost: 0.0013 ips: 24.2207 images/s [10/15 05:41:15] ppdet.engine INFO: Epoch: [86] [260/523] learning_rate: 0.323412 loss_vfl: 0.914424 loss_bbox: 0.300964 loss_dfl: 0.190638 loss: 1.375529 eta: 2 days, 23:41:05 batch_cost: 2.2882 data_cost: 0.0013 ips: 24.4737 images/s [10/15 05:42:02] ppdet.engine INFO: Epoch: [86] [280/523] learning_rate: 0.323349 loss_vfl: 0.902605 loss_bbox: 0.305573 loss_dfl: 0.190236 loss: 1.390721 eta: 2 days, 23:40:14 batch_cost: 2.2219 data_cost: 0.0015 ips: 25.2034 images/s [10/15 05:42:49] ppdet.engine INFO: Epoch: [86] [300/523] learning_rate: 0.323286 loss_vfl: 0.894835 loss_bbox: 0.303937 loss_dfl: 0.197178 loss: 1.409694 eta: 2 days, 23:39:25 batch_cost: 2.2552 data_cost: 0.0013 ips: 24.8318 images/s [10/15 05:43:37] ppdet.engine INFO: Epoch: [86] [320/523] learning_rate: 0.323223 loss_vfl: 0.905453 loss_bbox: 0.324309 loss_dfl: 0.196812 loss: 1.414212 eta: 2 days, 23:38:36 batch_cost: 2.2591 data_cost: 0.0013 ips: 24.7883 images/s [10/15 05:44:23] ppdet.engine INFO: Epoch: [86] [340/523] learning_rate: 0.323160 loss_vfl: 0.877424 loss_bbox: 0.299432 loss_dfl: 0.197416 loss: 1.384067 eta: 2 days, 23:37:45 batch_cost: 2.2085 data_cost: 0.0014 ips: 25.3569 images/s [10/15 05:45:11] ppdet.engine INFO: Epoch: [86] [360/523] learning_rate: 0.323097 loss_vfl: 0.903111 loss_bbox: 0.304254 loss_dfl: 0.199246 loss: 1.402682 eta: 2 days, 23:36:57 batch_cost: 2.2774 data_cost: 0.0013 ips: 24.5893 images/s [10/15 05:45:59] ppdet.engine INFO: Epoch: [86] [380/523] learning_rate: 0.323033 loss_vfl: 0.897429 loss_bbox: 0.295363 loss_dfl: 0.194234 loss: 1.396409 eta: 2 days, 23:36:10 batch_cost: 2.2955 data_cost: 0.0012 ips: 24.3954 images/s [10/15 05:46:48] ppdet.engine INFO: Epoch: [86] [400/523] learning_rate: 0.322970 loss_vfl: 0.904473 loss_bbox: 0.316308 loss_dfl: 0.203242 loss: 1.431723 eta: 2 days, 23:35:25 batch_cost: 2.3306 data_cost: 0.0012 ips: 24.0280 images/s [10/15 05:47:37] ppdet.engine INFO: Epoch: [86] [420/523] learning_rate: 0.322907 loss_vfl: 0.893754 loss_bbox: 0.308933 loss_dfl: 0.194987 loss: 1.419422 eta: 2 days, 23:34:40 batch_cost: 2.3281 data_cost: 0.0013 ips: 24.0544 images/s [10/15 05:48:25] ppdet.engine INFO: Epoch: [86] [440/523] learning_rate: 0.322844 loss_vfl: 0.898116 loss_bbox: 0.309683 loss_dfl: 0.189979 loss: 1.381783 eta: 2 days, 23:33:52 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4229 images/s [10/15 05:49:13] ppdet.engine INFO: Epoch: [86] [460/523] learning_rate: 0.322781 loss_vfl: 0.883446 loss_bbox: 0.299923 loss_dfl: 0.189437 loss: 1.378692 eta: 2 days, 23:33:03 batch_cost: 2.2549 data_cost: 0.0013 ips: 24.8344 images/s [10/15 05:50:00] ppdet.engine INFO: Epoch: [86] 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loss_bbox: 0.317797 loss_dfl: 0.194210 loss: 1.375441 eta: 2 days, 23:30:07 batch_cost: 2.1971 data_cost: 0.0020 ips: 25.4883 images/s [10/15 05:53:34] ppdet.engine INFO: Epoch: [87] [ 40/523] learning_rate: 0.322455 loss_vfl: 0.883683 loss_bbox: 0.291436 loss_dfl: 0.185292 loss: 1.341760 eta: 2 days, 23:29:22 batch_cost: 2.3191 data_cost: 0.0015 ips: 24.1478 images/s [10/15 05:54:22] ppdet.engine INFO: Epoch: [87] [ 60/523] learning_rate: 0.322391 loss_vfl: 0.886455 loss_bbox: 0.299486 loss_dfl: 0.190752 loss: 1.375840 eta: 2 days, 23:28:36 batch_cost: 2.3159 data_cost: 0.0014 ips: 24.1802 images/s [10/15 05:55:10] ppdet.engine INFO: Epoch: [87] [ 80/523] learning_rate: 0.322328 loss_vfl: 0.869506 loss_bbox: 0.331487 loss_dfl: 0.208111 loss: 1.402338 eta: 2 days, 23:27:48 batch_cost: 2.2912 data_cost: 0.0020 ips: 24.4416 images/s [10/15 05:55:59] ppdet.engine INFO: Epoch: [87] [100/523] learning_rate: 0.322265 loss_vfl: 0.906191 loss_bbox: 0.312385 loss_dfl: 0.201179 loss: 1.420639 eta: 2 days, 23:27:03 batch_cost: 2.3324 data_cost: 0.0013 ips: 24.0094 images/s [10/15 05:56:48] ppdet.engine INFO: Epoch: [87] [120/523] learning_rate: 0.322201 loss_vfl: 0.888078 loss_bbox: 0.302732 loss_dfl: 0.194151 loss: 1.386216 eta: 2 days, 23:26:18 batch_cost: 2.3309 data_cost: 0.0013 ips: 24.0253 images/s [10/15 05:57:36] ppdet.engine INFO: Epoch: [87] [140/523] learning_rate: 0.322138 loss_vfl: 0.883808 loss_bbox: 0.301486 loss_dfl: 0.197655 loss: 1.380449 eta: 2 days, 23:25:32 batch_cost: 2.3080 data_cost: 0.0015 ips: 24.2639 images/s [10/15 05:58:24] ppdet.engine INFO: Epoch: [87] [160/523] learning_rate: 0.322075 loss_vfl: 0.903513 loss_bbox: 0.300929 loss_dfl: 0.194065 loss: 1.398302 eta: 2 days, 23:24:44 batch_cost: 2.2893 data_cost: 0.0053 ips: 24.4620 images/s [10/15 05:59:12] ppdet.engine INFO: Epoch: [87] [180/523] learning_rate: 0.322011 loss_vfl: 0.882213 loss_bbox: 0.297289 loss_dfl: 0.199028 loss: 1.381816 eta: 2 days, 23:23:55 batch_cost: 2.2505 data_cost: 0.0013 ips: 24.8838 images/s [10/15 06:00:00] ppdet.engine INFO: Epoch: [87] [200/523] learning_rate: 0.321948 loss_vfl: 0.878378 loss_bbox: 0.305378 loss_dfl: 0.192569 loss: 1.381769 eta: 2 days, 23:23:10 batch_cost: 2.3278 data_cost: 0.0012 ips: 24.0566 images/s [10/15 06:00:48] ppdet.engine INFO: Epoch: [87] [220/523] learning_rate: 0.321884 loss_vfl: 0.888629 loss_bbox: 0.327006 loss_dfl: 0.205737 loss: 1.424183 eta: 2 days, 23:22:21 batch_cost: 2.2626 data_cost: 0.0012 ips: 24.7504 images/s [10/15 06:01:36] ppdet.engine INFO: Epoch: [87] [240/523] learning_rate: 0.321821 loss_vfl: 0.893171 loss_bbox: 0.288158 loss_dfl: 0.180722 loss: 1.366134 eta: 2 days, 23:21:34 batch_cost: 2.2994 data_cost: 0.0013 ips: 24.3542 images/s [10/15 06:02:24] ppdet.engine INFO: Epoch: [87] [260/523] learning_rate: 0.321757 loss_vfl: 0.897904 loss_bbox: 0.299031 loss_dfl: 0.195302 loss: 1.409907 eta: 2 days, 23:20:47 batch_cost: 2.2923 data_cost: 0.0013 ips: 24.4299 images/s [10/15 06:03:13] ppdet.engine INFO: Epoch: [87] [280/523] learning_rate: 0.321694 loss_vfl: 0.895403 loss_bbox: 0.298344 loss_dfl: 0.192262 loss: 1.381239 eta: 2 days, 23:20:03 batch_cost: 2.3441 data_cost: 0.0013 ips: 23.8900 images/s [10/15 06:04:02] ppdet.engine INFO: Epoch: [87] [300/523] learning_rate: 0.321630 loss_vfl: 0.900390 loss_bbox: 0.299668 loss_dfl: 0.192488 loss: 1.414828 eta: 2 days, 23:19:17 batch_cost: 2.3174 data_cost: 0.0012 ips: 24.1649 images/s [10/15 06:04:51] ppdet.engine INFO: Epoch: [87] [320/523] learning_rate: 0.321566 loss_vfl: 0.889593 loss_bbox: 0.314580 loss_dfl: 0.198270 loss: 1.393091 eta: 2 days, 23:18:31 batch_cost: 2.3259 data_cost: 0.0014 ips: 24.0766 images/s [10/15 06:05:40] ppdet.engine INFO: Epoch: [87] [340/523] learning_rate: 0.321503 loss_vfl: 0.881394 loss_bbox: 0.316112 loss_dfl: 0.201604 loss: 1.406554 eta: 2 days, 23:17:45 batch_cost: 2.3208 data_cost: 0.0013 ips: 24.1299 images/s [10/15 06:06:29] ppdet.engine INFO: Epoch: [87] [360/523] learning_rate: 0.321439 loss_vfl: 0.894005 loss_bbox: 0.315410 loss_dfl: 0.199385 loss: 1.398017 eta: 2 days, 23:16:59 batch_cost: 2.3160 data_cost: 0.0012 ips: 24.1800 images/s [10/15 06:07:17] ppdet.engine INFO: Epoch: [87] [380/523] learning_rate: 0.321375 loss_vfl: 0.910475 loss_bbox: 0.305813 loss_dfl: 0.200716 loss: 1.419913 eta: 2 days, 23:16:13 batch_cost: 2.3018 data_cost: 0.0014 ips: 24.3287 images/s [10/15 06:08:06] ppdet.engine INFO: Epoch: [87] [400/523] learning_rate: 0.321312 loss_vfl: 0.886054 loss_bbox: 0.303877 loss_dfl: 0.190845 loss: 1.397591 eta: 2 days, 23:15:27 batch_cost: 2.3166 data_cost: 0.0025 ips: 24.1734 images/s [10/15 06:08:53] ppdet.engine INFO: Epoch: [87] [420/523] learning_rate: 0.321248 loss_vfl: 0.862368 loss_bbox: 0.302930 loss_dfl: 0.191574 loss: 1.378545 eta: 2 days, 23:14:38 batch_cost: 2.2469 data_cost: 0.0017 ips: 24.9236 images/s [10/15 06:09:42] ppdet.engine INFO: Epoch: [87] [440/523] learning_rate: 0.321184 loss_vfl: 0.890708 loss_bbox: 0.323864 loss_dfl: 0.198185 loss: 1.414269 eta: 2 days, 23:13:52 batch_cost: 2.3206 data_cost: 0.0014 ips: 24.1312 images/s [10/15 06:10:30] ppdet.engine INFO: Epoch: [87] [460/523] learning_rate: 0.321121 loss_vfl: 0.890645 loss_bbox: 0.306726 loss_dfl: 0.194038 loss: 1.390264 eta: 2 days, 23:13:03 batch_cost: 2.2536 data_cost: 0.0013 ips: 24.8487 images/s [10/15 06:11:17] ppdet.engine INFO: Epoch: [87] [480/523] learning_rate: 0.321057 loss_vfl: 0.893446 loss_bbox: 0.300532 loss_dfl: 0.194174 loss: 1.400846 eta: 2 days, 23:12:15 batch_cost: 2.2684 data_cost: 0.0013 ips: 24.6868 images/s [10/15 06:12:05] ppdet.engine INFO: Epoch: [87] [500/523] learning_rate: 0.320993 loss_vfl: 0.896041 loss_bbox: 0.306492 loss_dfl: 0.198776 loss: 1.406917 eta: 2 days, 23:11:27 batch_cost: 2.2768 data_cost: 0.0013 ips: 24.5963 images/s [10/15 06:12:48] ppdet.engine INFO: Epoch: [87] [520/523] learning_rate: 0.320929 loss_vfl: 0.900256 loss_bbox: 0.303080 loss_dfl: 0.195716 loss: 1.382914 eta: 2 days, 23:10:29 batch_cost: 2.0685 data_cost: 0.0012 ips: 27.0725 images/s [10/15 06:13:18] ppdet.engine INFO: Epoch: [88] [ 0/523] learning_rate: 0.320920 loss_vfl: 0.894960 loss_bbox: 0.306325 loss_dfl: 0.201224 loss: 1.395195 eta: 2 days, 23:11:10 batch_cost: 3.0678 data_cost: 0.5130 ips: 18.2541 images/s [10/15 06:14:11] ppdet.engine INFO: Epoch: [88] [ 20/523] learning_rate: 0.320856 loss_vfl: 0.864851 loss_bbox: 0.312366 loss_dfl: 0.197431 loss: 1.360310 eta: 2 days, 23:10:34 batch_cost: 2.5092 data_cost: 0.0014 ips: 22.3176 images/s [10/15 06:14:58] ppdet.engine INFO: Epoch: [88] [ 40/523] learning_rate: 0.320792 loss_vfl: 0.908221 loss_bbox: 0.293247 loss_dfl: 0.192568 loss: 1.422945 eta: 2 days, 23:09:46 batch_cost: 2.2726 data_cost: 0.0012 ips: 24.6412 images/s [10/15 06:15:46] ppdet.engine INFO: Epoch: [88] [ 60/523] learning_rate: 0.320728 loss_vfl: 0.912822 loss_bbox: 0.298380 loss_dfl: 0.191998 loss: 1.406096 eta: 2 days, 23:08:58 batch_cost: 2.2717 data_cost: 0.0060 ips: 24.6513 images/s [10/15 06:16:34] ppdet.engine INFO: Epoch: [88] [ 80/523] learning_rate: 0.320664 loss_vfl: 0.901887 loss_bbox: 0.291843 loss_dfl: 0.188421 loss: 1.391422 eta: 2 days, 23:08:08 batch_cost: 2.2500 data_cost: 0.0012 ips: 24.8892 images/s [10/15 06:17:22] ppdet.engine INFO: Epoch: [88] [100/523] learning_rate: 0.320601 loss_vfl: 0.909532 loss_bbox: 0.292158 loss_dfl: 0.192591 loss: 1.405568 eta: 2 days, 23:07:20 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7151 images/s [10/15 06:18:09] ppdet.engine INFO: Epoch: [88] [120/523] learning_rate: 0.320537 loss_vfl: 0.897196 loss_bbox: 0.298255 loss_dfl: 0.192768 loss: 1.402673 eta: 2 days, 23:06:32 batch_cost: 2.2667 data_cost: 0.0013 ips: 24.7051 images/s [10/15 06:18:57] ppdet.engine INFO: Epoch: [88] [140/523] learning_rate: 0.320473 loss_vfl: 0.891807 loss_bbox: 0.301997 loss_dfl: 0.192447 loss: 1.389180 eta: 2 days, 23:05:44 batch_cost: 2.2733 data_cost: 0.0014 ips: 24.6342 images/s [10/15 06:19:45] ppdet.engine INFO: Epoch: [88] 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loss_bbox: 0.295346 loss_dfl: 0.193518 loss: 1.399032 eta: 2 days, 23:01:35 batch_cost: 2.2160 data_cost: 0.0012 ips: 25.2711 images/s [10/15 06:23:40] ppdet.engine INFO: Epoch: [88] [260/523] learning_rate: 0.320089 loss_vfl: 0.889861 loss_bbox: 0.294998 loss_dfl: 0.194102 loss: 1.380617 eta: 2 days, 23:00:47 batch_cost: 2.2811 data_cost: 0.0014 ips: 24.5492 images/s [10/15 06:24:27] ppdet.engine INFO: Epoch: [88] [280/523] learning_rate: 0.320025 loss_vfl: 0.885324 loss_bbox: 0.321169 loss_dfl: 0.203328 loss: 1.409064 eta: 2 days, 22:59:57 batch_cost: 2.2266 data_cost: 0.0013 ips: 25.1505 images/s [10/15 06:25:15] ppdet.engine INFO: Epoch: [88] [300/523] learning_rate: 0.319961 loss_vfl: 0.903437 loss_bbox: 0.305483 loss_dfl: 0.201103 loss: 1.406574 eta: 2 days, 22:59:09 batch_cost: 2.2792 data_cost: 0.0013 ips: 24.5700 images/s [10/15 06:26:04] ppdet.engine INFO: Epoch: [88] [320/523] learning_rate: 0.319897 loss_vfl: 0.890594 loss_bbox: 0.301943 loss_dfl: 0.192594 loss: 1.386614 eta: 2 days, 22:58:23 batch_cost: 2.3148 data_cost: 0.0012 ips: 24.1921 images/s [10/15 06:26:51] ppdet.engine INFO: Epoch: [88] [340/523] learning_rate: 0.319833 loss_vfl: 0.898405 loss_bbox: 0.289825 loss_dfl: 0.190623 loss: 1.392279 eta: 2 days, 22:57:35 batch_cost: 2.2777 data_cost: 0.0013 ips: 24.5857 images/s [10/15 06:27:40] ppdet.engine INFO: Epoch: [88] [360/523] learning_rate: 0.319768 loss_vfl: 0.885892 loss_bbox: 0.329559 loss_dfl: 0.202513 loss: 1.431285 eta: 2 days, 22:56:48 batch_cost: 2.2827 data_cost: 0.0014 ips: 24.5322 images/s [10/15 06:28:27] ppdet.engine INFO: Epoch: [88] [380/523] learning_rate: 0.319704 loss_vfl: 0.873019 loss_bbox: 0.311736 loss_dfl: 0.198468 loss: 1.369624 eta: 2 days, 22:55:59 batch_cost: 2.2700 data_cost: 0.0012 ips: 24.6700 images/s [10/15 06:29:15] ppdet.engine INFO: Epoch: [88] [400/523] learning_rate: 0.319640 loss_vfl: 0.879681 loss_bbox: 0.303162 loss_dfl: 0.199207 loss: 1.380041 eta: 2 days, 22:55:11 batch_cost: 2.2632 data_cost: 0.0013 ips: 24.7435 images/s [10/15 06:30:03] ppdet.engine INFO: Epoch: [88] [420/523] learning_rate: 0.319576 loss_vfl: 0.890802 loss_bbox: 0.307552 loss_dfl: 0.198250 loss: 1.405955 eta: 2 days, 22:54:24 batch_cost: 2.2881 data_cost: 0.0060 ips: 24.4745 images/s [10/15 06:30:51] ppdet.engine INFO: Epoch: [88] [440/523] learning_rate: 0.319512 loss_vfl: 0.899339 loss_bbox: 0.299660 loss_dfl: 0.188523 loss: 1.383539 eta: 2 days, 22:53:36 batch_cost: 2.2809 data_cost: 0.0012 ips: 24.5512 images/s [10/15 06:31:39] ppdet.engine INFO: Epoch: [88] [460/523] learning_rate: 0.319447 loss_vfl: 0.895042 loss_bbox: 0.289018 loss_dfl: 0.187579 loss: 1.368969 eta: 2 days, 22:52:49 batch_cost: 2.2915 data_cost: 0.0013 ips: 24.4385 images/s [10/15 06:32:27] ppdet.engine INFO: Epoch: [88] [480/523] learning_rate: 0.319383 loss_vfl: 0.900031 loss_bbox: 0.304967 loss_dfl: 0.199098 loss: 1.417440 eta: 2 days, 22:52:01 batch_cost: 2.2852 data_cost: 0.0013 ips: 24.5052 images/s [10/15 06:33:14] ppdet.engine INFO: Epoch: [88] [500/523] learning_rate: 0.319319 loss_vfl: 0.880509 loss_bbox: 0.305129 loss_dfl: 0.193694 loss: 1.374057 eta: 2 days, 22:51:11 batch_cost: 2.2257 data_cost: 0.0012 ips: 25.1605 images/s [10/15 06:33:56] ppdet.engine INFO: Epoch: [88] [520/523] learning_rate: 0.319255 loss_vfl: 0.897626 loss_bbox: 0.302078 loss_dfl: 0.192976 loss: 1.393757 eta: 2 days, 22:50:09 batch_cost: 1.9817 data_cost: 0.0012 ips: 28.2587 images/s [10/15 06:34:26] ppdet.engine INFO: Epoch: [89] [ 0/523] learning_rate: 0.319245 loss_vfl: 0.893410 loss_bbox: 0.299602 loss_dfl: 0.192288 loss: 1.392194 eta: 2 days, 22:50:49 batch_cost: 2.9854 data_cost: 0.6686 ips: 18.7582 images/s [10/15 06:35:15] ppdet.engine INFO: Epoch: [89] [ 20/523] learning_rate: 0.319181 loss_vfl: 0.896834 loss_bbox: 0.298771 loss_dfl: 0.193994 loss: 1.393201 eta: 2 days, 22:50:04 batch_cost: 2.3259 data_cost: 0.0014 ips: 24.0765 images/s [10/15 06:36:04] ppdet.engine INFO: Epoch: [89] [ 40/523] learning_rate: 0.319116 loss_vfl: 0.888860 loss_bbox: 0.319988 loss_dfl: 0.193081 loss: 1.390293 eta: 2 days, 22:49:19 batch_cost: 2.3311 data_cost: 0.0013 ips: 24.0227 images/s [10/15 06:36:52] ppdet.engine INFO: Epoch: [89] [ 60/523] learning_rate: 0.319052 loss_vfl: 0.908855 loss_bbox: 0.297457 loss_dfl: 0.190214 loss: 1.400487 eta: 2 days, 22:48:33 batch_cost: 2.3229 data_cost: 0.0013 ips: 24.1077 images/s [10/15 06:37:41] ppdet.engine INFO: Epoch: [89] [ 80/523] learning_rate: 0.318988 loss_vfl: 0.911443 loss_bbox: 0.302344 loss_dfl: 0.193291 loss: 1.387952 eta: 2 days, 22:47:48 batch_cost: 2.3425 data_cost: 0.0013 ips: 23.9058 images/s [10/15 06:38:29] ppdet.engine INFO: Epoch: [89] [100/523] learning_rate: 0.318923 loss_vfl: 0.882764 loss_bbox: 0.328121 loss_dfl: 0.203443 loss: 1.426304 eta: 2 days, 22:47:01 batch_cost: 2.2905 data_cost: 0.0012 ips: 24.4486 images/s [10/15 06:39:17] ppdet.engine INFO: Epoch: [89] [120/523] learning_rate: 0.318859 loss_vfl: 0.886521 loss_bbox: 0.322998 loss_dfl: 0.195822 loss: 1.409367 eta: 2 days, 22:46:12 batch_cost: 2.2563 data_cost: 0.0013 ips: 24.8191 images/s [10/15 06:40:04] ppdet.engine INFO: Epoch: [89] [140/523] learning_rate: 0.318794 loss_vfl: 0.905280 loss_bbox: 0.300947 loss_dfl: 0.194406 loss: 1.416270 eta: 2 days, 22:45:24 batch_cost: 2.2672 data_cost: 0.0013 ips: 24.7002 images/s [10/15 06:40:53] ppdet.engine INFO: Epoch: [89] [160/523] learning_rate: 0.318730 loss_vfl: 0.875598 loss_bbox: 0.299141 loss_dfl: 0.190310 loss: 1.383637 eta: 2 days, 22:44:37 batch_cost: 2.3012 data_cost: 0.0013 ips: 24.3351 images/s [10/15 06:41:40] ppdet.engine INFO: Epoch: [89] [180/523] learning_rate: 0.318666 loss_vfl: 0.881199 loss_bbox: 0.296362 loss_dfl: 0.193457 loss: 1.373752 eta: 2 days, 22:43:49 batch_cost: 2.2601 data_cost: 0.0013 ips: 24.7772 images/s [10/15 06:42:29] ppdet.engine INFO: Epoch: [89] [200/523] learning_rate: 0.318601 loss_vfl: 0.888760 loss_bbox: 0.309202 loss_dfl: 0.193531 loss: 1.407436 eta: 2 days, 22:43:02 batch_cost: 2.3020 data_cost: 0.0013 ips: 24.3263 images/s [10/15 06:43:17] ppdet.engine INFO: Epoch: [89] [220/523] learning_rate: 0.318537 loss_vfl: 0.895757 loss_bbox: 0.309014 loss_dfl: 0.197706 loss: 1.405098 eta: 2 days, 22:42:16 batch_cost: 2.3105 data_cost: 0.0013 ips: 24.2373 images/s [10/15 06:44:05] ppdet.engine INFO: Epoch: [89] [240/523] learning_rate: 0.318472 loss_vfl: 0.877158 loss_bbox: 0.302678 loss_dfl: 0.187131 loss: 1.358499 eta: 2 days, 22:41:28 batch_cost: 2.2769 data_cost: 0.0012 ips: 24.5950 images/s [10/15 06:44:53] ppdet.engine INFO: Epoch: [89] [260/523] learning_rate: 0.318407 loss_vfl: 0.884362 loss_bbox: 0.298491 loss_dfl: 0.189153 loss: 1.374566 eta: 2 days, 22:40:39 batch_cost: 2.2476 data_cost: 0.0013 ips: 24.9154 images/s [10/15 06:45:41] ppdet.engine INFO: Epoch: [89] [280/523] learning_rate: 0.318343 loss_vfl: 0.884197 loss_bbox: 0.289893 loss_dfl: 0.196090 loss: 1.391693 eta: 2 days, 22:39:53 batch_cost: 2.3140 data_cost: 0.0013 ips: 24.2001 images/s [10/15 06:46:30] ppdet.engine INFO: Epoch: [89] [300/523] learning_rate: 0.318278 loss_vfl: 0.896777 loss_bbox: 0.278942 loss_dfl: 0.187403 loss: 1.371511 eta: 2 days, 22:39:07 batch_cost: 2.3324 data_cost: 0.0012 ips: 24.0098 images/s [10/15 06:47:16] ppdet.engine INFO: Epoch: [89] [320/523] learning_rate: 0.318214 loss_vfl: 0.895157 loss_bbox: 0.311492 loss_dfl: 0.198392 loss: 1.390312 eta: 2 days, 22:38:17 batch_cost: 2.2210 data_cost: 0.0013 ips: 25.2134 images/s [10/15 06:48:05] ppdet.engine INFO: Epoch: [89] [340/523] learning_rate: 0.318149 loss_vfl: 0.892937 loss_bbox: 0.301603 loss_dfl: 0.194197 loss: 1.380686 eta: 2 days, 22:37:32 batch_cost: 2.3473 data_cost: 0.0022 ips: 23.8571 images/s [10/15 06:48:55] ppdet.engine INFO: Epoch: [89] [360/523] learning_rate: 0.318085 loss_vfl: 0.894644 loss_bbox: 0.294638 loss_dfl: 0.185652 loss: 1.361946 eta: 2 days, 22:36:48 batch_cost: 2.3405 data_cost: 0.0013 ips: 23.9270 images/s [10/15 06:49:42] ppdet.engine INFO: Epoch: [89] [380/523] learning_rate: 0.318020 loss_vfl: 0.909830 loss_bbox: 0.303327 loss_dfl: 0.197091 loss: 1.423055 eta: 2 days, 22:36:00 batch_cost: 2.2742 data_cost: 0.0013 ips: 24.6237 images/s [10/15 06:50:29] ppdet.engine INFO: Epoch: [89] [400/523] learning_rate: 0.317955 loss_vfl: 0.905369 loss_bbox: 0.316930 loss_dfl: 0.200136 loss: 1.430396 eta: 2 days, 22:35:08 batch_cost: 2.2053 data_cost: 0.0013 ips: 25.3934 images/s [10/15 06:51:17] ppdet.engine INFO: Epoch: [89] [420/523] learning_rate: 0.317890 loss_vfl: 0.897155 loss_bbox: 0.300217 loss_dfl: 0.191867 loss: 1.382219 eta: 2 days, 22:34:19 batch_cost: 2.2541 data_cost: 0.0013 ips: 24.8440 images/s [10/15 06:52:06] ppdet.engine INFO: Epoch: [89] [440/523] learning_rate: 0.317826 loss_vfl: 0.898088 loss_bbox: 0.301250 loss_dfl: 0.194699 loss: 1.397865 eta: 2 days, 22:33:34 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0446 images/s [10/15 06:52:54] ppdet.engine INFO: Epoch: [89] [460/523] learning_rate: 0.317761 loss_vfl: 0.897751 loss_bbox: 0.294839 loss_dfl: 0.190836 loss: 1.380764 eta: 2 days, 22:32:48 batch_cost: 2.3060 data_cost: 0.0013 ips: 24.2846 images/s [10/15 06:53:42] ppdet.engine INFO: Epoch: [89] [480/523] learning_rate: 0.317696 loss_vfl: 0.882480 loss_bbox: 0.310050 loss_dfl: 0.196808 loss: 1.376357 eta: 2 days, 22:31:59 batch_cost: 2.2681 data_cost: 0.0014 ips: 24.6899 images/s [10/15 06:54:30] ppdet.engine INFO: Epoch: [89] [500/523] learning_rate: 0.317632 loss_vfl: 0.893236 loss_bbox: 0.318693 loss_dfl: 0.204067 loss: 1.412643 eta: 2 days, 22:31:12 batch_cost: 2.2806 data_cost: 0.0022 ips: 24.5552 images/s [10/15 06:55:11] ppdet.engine INFO: Epoch: [89] [520/523] learning_rate: 0.317567 loss_vfl: 0.880247 loss_bbox: 0.305684 loss_dfl: 0.203801 loss: 1.404638 eta: 2 days, 22:30:09 batch_cost: 1.9582 data_cost: 0.0012 ips: 28.5974 images/s [10/15 06:55:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 06:55:19] ppdet.engine INFO: Eval iter: 0 [10/15 06:55:57] ppdet.engine INFO: Eval iter: 100 [10/15 06:56:18] ppdet.engine INFO: Eval iter: 200 [10/15 06:56:39] ppdet.engine INFO: Eval iter: 300 [10/15 06:56:59] ppdet.engine INFO: Eval iter: 400 [10/15 06:57:20] ppdet.engine INFO: Eval iter: 500 [10/15 06:57:41] ppdet.engine INFO: Eval iter: 600 [10/15 06:58:01] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.09s) creating index... index created! [10/15 06:58:03] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.19s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.09s). Accumulating evaluation results... DONE (t=18.35s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.332 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.484 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.352 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.129 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.357 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.292 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 ] = 0.550 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.734 [10/15 07:00:07] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.55747402528936 [10/15 07:00:07] ppdet.engine INFO: Best test bbox ap is 0.332. [10/15 07:00:09] ppdet.engine INFO: Epoch: [90] [ 0/523] learning_rate: 0.317557 loss_vfl: 0.875264 loss_bbox: 0.304253 loss_dfl: 0.202754 loss: 1.404638 eta: 2 days, 22:29:57 batch_cost: 1.8635 data_cost: 0.0012 ips: 30.0502 images/s [10/15 07:01:00] ppdet.engine INFO: Epoch: [90] [ 20/523] learning_rate: 0.317492 loss_vfl: 0.881804 loss_bbox: 0.310744 loss_dfl: 0.192996 loss: 1.380555 eta: 2 days, 22:29:16 batch_cost: 2.4138 data_cost: 0.0014 ips: 23.1995 images/s [10/15 07:01:48] ppdet.engine INFO: Epoch: [90] [ 40/523] learning_rate: 0.317427 loss_vfl: 0.913287 loss_bbox: 0.283241 loss_dfl: 0.187270 loss: 1.363965 eta: 2 days, 22:28:29 batch_cost: 2.2927 data_cost: 0.0013 ips: 24.4250 images/s [10/15 07:02:37] ppdet.engine INFO: Epoch: [90] [ 60/523] learning_rate: 0.317363 loss_vfl: 0.903787 loss_bbox: 0.316313 loss_dfl: 0.196596 loss: 1.410857 eta: 2 days, 22:27:44 batch_cost: 2.3397 data_cost: 0.0013 ips: 23.9344 images/s [10/15 07:03:25] ppdet.engine INFO: Epoch: [90] [ 80/523] learning_rate: 0.317298 loss_vfl: 0.896543 loss_bbox: 0.293049 loss_dfl: 0.192351 loss: 1.366987 eta: 2 days, 22:26:57 batch_cost: 2.3045 data_cost: 0.0013 ips: 24.3000 images/s [10/15 07:04:14] ppdet.engine INFO: Epoch: [90] [100/523] learning_rate: 0.317233 loss_vfl: 0.909712 loss_bbox: 0.290008 loss_dfl: 0.192137 loss: 1.391669 eta: 2 days, 22:26:14 batch_cost: 2.3760 data_cost: 0.0014 ips: 23.5688 images/s [10/15 07:05:02] ppdet.engine INFO: Epoch: [90] [120/523] learning_rate: 0.317168 loss_vfl: 0.878439 loss_bbox: 0.288965 loss_dfl: 0.190102 loss: 1.371731 eta: 2 days, 22:25:28 batch_cost: 2.3012 data_cost: 0.0012 ips: 24.3352 images/s [10/15 07:05:50] ppdet.engine INFO: Epoch: [90] [140/523] learning_rate: 0.317103 loss_vfl: 0.885822 loss_bbox: 0.309378 loss_dfl: 0.201472 loss: 1.406154 eta: 2 days, 22:24:41 batch_cost: 2.2968 data_cost: 0.0012 ips: 24.3815 images/s [10/15 07:06:40] ppdet.engine INFO: Epoch: [90] [160/523] learning_rate: 0.317038 loss_vfl: 0.889146 loss_bbox: 0.289382 loss_dfl: 0.190098 loss: 1.379006 eta: 2 days, 22:23:56 batch_cost: 2.3444 data_cost: 0.0024 ips: 23.8871 images/s [10/15 07:07:29] ppdet.engine INFO: Epoch: [90] [180/523] learning_rate: 0.316973 loss_vfl: 0.874430 loss_bbox: 0.293817 loss_dfl: 0.189081 loss: 1.344220 eta: 2 days, 22:23:11 batch_cost: 2.3341 data_cost: 0.0014 ips: 23.9926 images/s [10/15 07:08:18] ppdet.engine INFO: Epoch: [90] [200/523] learning_rate: 0.316908 loss_vfl: 0.862770 loss_bbox: 0.304506 loss_dfl: 0.192380 loss: 1.346866 eta: 2 days, 22:22:28 batch_cost: 2.3884 data_cost: 0.0013 ips: 23.4466 images/s [10/15 07:09:07] ppdet.engine INFO: Epoch: [90] [220/523] learning_rate: 0.316843 loss_vfl: 0.886697 loss_bbox: 0.304966 loss_dfl: 0.199588 loss: 1.393190 eta: 2 days, 22:21:42 batch_cost: 2.2992 data_cost: 0.0012 ips: 24.3567 images/s [10/15 07:09:54] ppdet.engine INFO: Epoch: [90] [240/523] learning_rate: 0.316778 loss_vfl: 0.853967 loss_bbox: 0.302493 loss_dfl: 0.190636 loss: 1.349552 eta: 2 days, 22:20:52 batch_cost: 2.2469 data_cost: 0.0012 ips: 24.9234 images/s [10/15 07:10:43] ppdet.engine INFO: Epoch: [90] [260/523] learning_rate: 0.316713 loss_vfl: 0.877937 loss_bbox: 0.315246 loss_dfl: 0.198871 loss: 1.393573 eta: 2 days, 22:20:08 batch_cost: 2.3540 data_cost: 0.0013 ips: 23.7891 images/s [10/15 07:11:31] ppdet.engine INFO: Epoch: [90] [280/523] learning_rate: 0.316648 loss_vfl: 0.900316 loss_bbox: 0.302224 loss_dfl: 0.206052 loss: 1.402816 eta: 2 days, 22:19:21 batch_cost: 2.2888 data_cost: 0.0012 ips: 24.4664 images/s [10/15 07:12:21] ppdet.engine INFO: Epoch: [90] [300/523] learning_rate: 0.316583 loss_vfl: 0.903711 loss_bbox: 0.307262 loss_dfl: 0.197740 loss: 1.396438 eta: 2 days, 22:18:38 batch_cost: 2.3932 data_cost: 0.0013 ips: 23.3996 images/s [10/15 07:13:10] ppdet.engine INFO: Epoch: [90] [320/523] learning_rate: 0.316518 loss_vfl: 0.884804 loss_bbox: 0.299860 loss_dfl: 0.192108 loss: 1.391536 eta: 2 days, 22:17:52 batch_cost: 2.3036 data_cost: 0.0013 ips: 24.3093 images/s [10/15 07:13:56] ppdet.engine INFO: Epoch: [90] [340/523] learning_rate: 0.316453 loss_vfl: 0.873786 loss_bbox: 0.292082 loss_dfl: 0.187607 loss: 1.360337 eta: 2 days, 22:17:01 batch_cost: 2.2174 data_cost: 0.0012 ips: 25.2547 images/s [10/15 07:14:44] ppdet.engine INFO: Epoch: [90] [360/523] learning_rate: 0.316388 loss_vfl: 0.881191 loss_bbox: 0.303618 loss_dfl: 0.194256 loss: 1.393868 eta: 2 days, 22:16:16 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1151 images/s [10/15 07:15:33] ppdet.engine INFO: Epoch: [90] [380/523] learning_rate: 0.316323 loss_vfl: 0.898167 loss_bbox: 0.303747 loss_dfl: 0.195322 loss: 1.402468 eta: 2 days, 22:15:31 batch_cost: 2.3461 data_cost: 0.0012 ips: 23.8693 images/s [10/15 07:16:22] ppdet.engine INFO: Epoch: [90] [400/523] learning_rate: 0.316257 loss_vfl: 0.865949 loss_bbox: 0.305124 loss_dfl: 0.189827 loss: 1.371037 eta: 2 days, 22:14:46 batch_cost: 2.3314 data_cost: 0.0016 ips: 24.0203 images/s [10/15 07:17:11] ppdet.engine INFO: Epoch: [90] [420/523] learning_rate: 0.316192 loss_vfl: 0.882420 loss_bbox: 0.300021 loss_dfl: 0.194584 loss: 1.382344 eta: 2 days, 22:14:00 batch_cost: 2.3117 data_cost: 0.0013 ips: 24.2251 images/s [10/15 07:18:00] ppdet.engine INFO: Epoch: [90] [440/523] learning_rate: 0.316127 loss_vfl: 0.909294 loss_bbox: 0.279712 loss_dfl: 0.185191 loss: 1.388251 eta: 2 days, 22:13:16 batch_cost: 2.3643 data_cost: 0.0013 ips: 23.6852 images/s [10/15 07:18:49] ppdet.engine INFO: Epoch: [90] [460/523] learning_rate: 0.316062 loss_vfl: 0.883443 loss_bbox: 0.316083 loss_dfl: 0.207445 loss: 1.395364 eta: 2 days, 22:12:30 batch_cost: 2.3200 data_cost: 0.0014 ips: 24.1377 images/s [10/15 07:19:38] ppdet.engine INFO: Epoch: [90] [480/523] learning_rate: 0.315997 loss_vfl: 0.885895 loss_bbox: 0.308776 loss_dfl: 0.197474 loss: 1.377505 eta: 2 days, 22:11:46 batch_cost: 2.3511 data_cost: 0.0013 ips: 23.8182 images/s [10/15 07:20:26] ppdet.engine INFO: Epoch: [90] [500/523] learning_rate: 0.315931 loss_vfl: 0.893685 loss_bbox: 0.306655 loss_dfl: 0.196625 loss: 1.400108 eta: 2 days, 22:10:59 batch_cost: 2.3077 data_cost: 0.0013 ips: 24.2671 images/s [10/15 07:21:10] ppdet.engine INFO: Epoch: [90] [520/523] learning_rate: 0.315866 loss_vfl: 0.896107 loss_bbox: 0.307150 loss_dfl: 0.195005 loss: 1.400403 eta: 2 days, 22:10:02 batch_cost: 2.0735 data_cost: 0.0012 ips: 27.0081 images/s [10/15 07:21:40] ppdet.engine INFO: Epoch: [91] [ 0/523] learning_rate: 0.315856 loss_vfl: 0.899107 loss_bbox: 0.321539 loss_dfl: 0.196954 loss: 1.426760 eta: 2 days, 22:10:40 batch_cost: 3.0342 data_cost: 0.3781 ips: 18.4560 images/s [10/15 07:22:32] ppdet.engine INFO: Epoch: [91] [ 20/523] learning_rate: 0.315791 loss_vfl: 0.884657 loss_bbox: 0.309244 loss_dfl: 0.200120 loss: 1.380004 eta: 2 days, 22:10:01 batch_cost: 2.4740 data_cost: 0.0025 ips: 22.6352 images/s [10/15 07:23:23] ppdet.engine INFO: Epoch: [91] [ 40/523] learning_rate: 0.315726 loss_vfl: 0.895058 loss_bbox: 0.315546 loss_dfl: 0.194642 loss: 1.379692 eta: 2 days, 22:09:19 batch_cost: 2.4096 data_cost: 0.0013 ips: 23.2407 images/s [10/15 07:24:11] ppdet.engine INFO: Epoch: [91] [ 60/523] learning_rate: 0.315660 loss_vfl: 0.897165 loss_bbox: 0.300004 loss_dfl: 0.188130 loss: 1.369447 eta: 2 days, 22:08:33 batch_cost: 2.3074 data_cost: 0.0012 ips: 24.2702 images/s [10/15 07:25:00] ppdet.engine INFO: Epoch: [91] [ 80/523] learning_rate: 0.315595 loss_vfl: 0.896411 loss_bbox: 0.330040 loss_dfl: 0.207027 loss: 1.432241 eta: 2 days, 22:07:46 batch_cost: 2.3082 data_cost: 0.0013 ips: 24.2611 images/s [10/15 07:25:48] ppdet.engine INFO: Epoch: [91] [100/523] learning_rate: 0.315530 loss_vfl: 0.893653 loss_bbox: 0.303371 loss_dfl: 0.196579 loss: 1.395448 eta: 2 days, 22:07:01 batch_cost: 2.3276 data_cost: 0.0012 ips: 24.0590 images/s [10/15 07:26:37] ppdet.engine INFO: Epoch: [91] [120/523] learning_rate: 0.315464 loss_vfl: 0.892903 loss_bbox: 0.312116 loss_dfl: 0.200609 loss: 1.382783 eta: 2 days, 22:06:16 batch_cost: 2.3366 data_cost: 0.0014 ips: 23.9666 images/s [10/15 07:27:26] ppdet.engine INFO: Epoch: [91] [140/523] learning_rate: 0.315399 loss_vfl: 0.877671 loss_bbox: 0.328521 loss_dfl: 0.202483 loss: 1.409198 eta: 2 days, 22:05:31 batch_cost: 2.3386 data_cost: 0.0013 ips: 23.9461 images/s [10/15 07:28:15] ppdet.engine INFO: Epoch: [91] [160/523] learning_rate: 0.315333 loss_vfl: 0.909958 loss_bbox: 0.317383 loss_dfl: 0.197370 loss: 1.432946 eta: 2 days, 22:04:45 batch_cost: 2.3262 data_cost: 0.0014 ips: 24.0740 images/s [10/15 07:29:05] ppdet.engine INFO: Epoch: [91] [180/523] learning_rate: 0.315268 loss_vfl: 0.879126 loss_bbox: 0.316804 loss_dfl: 0.202025 loss: 1.400377 eta: 2 days, 22:04:02 batch_cost: 2.3706 data_cost: 0.0019 ips: 23.6229 images/s [10/15 07:29:53] ppdet.engine INFO: Epoch: [91] [200/523] learning_rate: 0.315202 loss_vfl: 0.881878 loss_bbox: 0.312272 loss_dfl: 0.193279 loss: 1.383067 eta: 2 days, 22:03:15 batch_cost: 2.2931 data_cost: 0.0013 ips: 24.4209 images/s [10/15 07:30:41] ppdet.engine INFO: Epoch: [91] [220/523] learning_rate: 0.315137 loss_vfl: 0.908717 loss_bbox: 0.305912 loss_dfl: 0.192560 loss: 1.399055 eta: 2 days, 22:02:28 batch_cost: 2.3068 data_cost: 0.0019 ips: 24.2762 images/s [10/15 07:31:30] ppdet.engine INFO: Epoch: [91] [240/523] learning_rate: 0.315071 loss_vfl: 0.892099 loss_bbox: 0.296421 loss_dfl: 0.191930 loss: 1.372719 eta: 2 days, 22:01:42 batch_cost: 2.3159 data_cost: 0.0012 ips: 24.1802 images/s [10/15 07:32:18] ppdet.engine INFO: Epoch: [91] [260/523] learning_rate: 0.315006 loss_vfl: 0.872230 loss_bbox: 0.284133 loss_dfl: 0.194014 loss: 1.356007 eta: 2 days, 22:00:55 batch_cost: 2.2865 data_cost: 0.0012 ips: 24.4915 images/s [10/15 07:33:06] ppdet.engine INFO: Epoch: [91] [280/523] learning_rate: 0.314940 loss_vfl: 0.887260 loss_bbox: 0.297544 loss_dfl: 0.184630 loss: 1.392359 eta: 2 days, 22:00:09 batch_cost: 2.3159 data_cost: 0.0013 ips: 24.1806 images/s [10/15 07:33:55] ppdet.engine INFO: Epoch: [91] [300/523] learning_rate: 0.314875 loss_vfl: 0.913843 loss_bbox: 0.288514 loss_dfl: 0.188654 loss: 1.383122 eta: 2 days, 21:59:22 batch_cost: 2.3072 data_cost: 0.0012 ips: 24.2715 images/s [10/15 07:34:44] ppdet.engine INFO: Epoch: [91] [320/523] learning_rate: 0.314809 loss_vfl: 0.890099 loss_bbox: 0.291908 loss_dfl: 0.188911 loss: 1.391246 eta: 2 days, 21:58:38 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7815 images/s [10/15 07:35:31] ppdet.engine INFO: Epoch: [91] [340/523] learning_rate: 0.314744 loss_vfl: 0.886503 loss_bbox: 0.294029 loss_dfl: 0.191795 loss: 1.378637 eta: 2 days, 21:57:50 batch_cost: 2.2680 data_cost: 0.0012 ips: 24.6915 images/s [10/15 07:36:19] ppdet.engine INFO: Epoch: [91] [360/523] learning_rate: 0.314678 loss_vfl: 0.902943 loss_bbox: 0.320288 loss_dfl: 0.204762 loss: 1.430055 eta: 2 days, 21:57:03 batch_cost: 2.2900 data_cost: 0.0013 ips: 24.4543 images/s [10/15 07:37:08] ppdet.engine INFO: Epoch: [91] [380/523] learning_rate: 0.314612 loss_vfl: 0.902975 loss_bbox: 0.308681 loss_dfl: 0.196775 loss: 1.391841 eta: 2 days, 21:56:17 batch_cost: 2.3110 data_cost: 0.0013 ips: 24.2321 images/s [10/15 07:37:56] ppdet.engine INFO: Epoch: [91] [400/523] learning_rate: 0.314547 loss_vfl: 0.884527 loss_bbox: 0.301161 loss_dfl: 0.191996 loss: 1.378725 eta: 2 days, 21:55:30 batch_cost: 2.3010 data_cost: 0.0030 ips: 24.3368 images/s [10/15 07:38:45] ppdet.engine INFO: Epoch: [91] [420/523] learning_rate: 0.314481 loss_vfl: 0.883441 loss_bbox: 0.307081 loss_dfl: 0.188574 loss: 1.398090 eta: 2 days, 21:54:45 batch_cost: 2.3384 data_cost: 0.0012 ips: 23.9479 images/s [10/15 07:39:33] ppdet.engine INFO: Epoch: [91] [440/523] learning_rate: 0.314415 loss_vfl: 0.895324 loss_bbox: 0.327906 loss_dfl: 0.203992 loss: 1.442933 eta: 2 days, 21:54:00 batch_cost: 2.3314 data_cost: 0.0013 ips: 24.0201 images/s [10/15 07:40:23] ppdet.engine INFO: Epoch: [91] [460/523] learning_rate: 0.314350 loss_vfl: 0.893629 loss_bbox: 0.298079 loss_dfl: 0.190428 loss: 1.372788 eta: 2 days, 21:53:15 batch_cost: 2.3450 data_cost: 0.0013 ips: 23.8802 images/s [10/15 07:41:12] ppdet.engine INFO: Epoch: [91] [480/523] learning_rate: 0.314284 loss_vfl: 0.892166 loss_bbox: 0.302476 loss_dfl: 0.196807 loss: 1.423553 eta: 2 days, 21:52:31 batch_cost: 2.3618 data_cost: 0.0013 ips: 23.7111 images/s [10/15 07:42:01] ppdet.engine INFO: Epoch: [91] [500/523] learning_rate: 0.314218 loss_vfl: 0.879638 loss_bbox: 0.301809 loss_dfl: 0.199450 loss: 1.372832 eta: 2 days, 21:51:46 batch_cost: 2.3347 data_cost: 0.0012 ips: 23.9860 images/s [10/15 07:42:44] ppdet.engine INFO: Epoch: [91] [520/523] learning_rate: 0.314153 loss_vfl: 0.903304 loss_bbox: 0.312567 loss_dfl: 0.194273 loss: 1.422956 eta: 2 days, 21:50:47 batch_cost: 2.0458 data_cost: 0.0012 ips: 27.3737 images/s [10/15 07:43:15] ppdet.engine INFO: Epoch: [92] [ 0/523] learning_rate: 0.314143 loss_vfl: 0.903304 loss_bbox: 0.313370 loss_dfl: 0.194273 loss: 1.422956 eta: 2 days, 21:51:24 batch_cost: 3.0302 data_cost: 0.6648 ips: 18.4808 images/s [10/15 07:44:05] ppdet.engine INFO: Epoch: [92] [ 20/523] learning_rate: 0.314077 loss_vfl: 0.885381 loss_bbox: 0.312818 loss_dfl: 0.194526 loss: 1.400854 eta: 2 days, 21:50:42 batch_cost: 2.3878 data_cost: 0.0015 ips: 23.4522 images/s [10/15 07:44:55] ppdet.engine INFO: Epoch: [92] [ 40/523] learning_rate: 0.314011 loss_vfl: 0.898418 loss_bbox: 0.306132 loss_dfl: 0.192330 loss: 1.393420 eta: 2 days, 21:49:58 batch_cost: 2.3720 data_cost: 0.0014 ips: 23.6083 images/s [10/15 07:45:44] ppdet.engine INFO: Epoch: [92] [ 60/523] learning_rate: 0.313945 loss_vfl: 0.873848 loss_bbox: 0.320040 loss_dfl: 0.199207 loss: 1.387799 eta: 2 days, 21:49:13 batch_cost: 2.3286 data_cost: 0.0013 ips: 24.0485 images/s [10/15 07:46:32] ppdet.engine INFO: Epoch: [92] [ 80/523] learning_rate: 0.313879 loss_vfl: 0.872901 loss_bbox: 0.305105 loss_dfl: 0.198992 loss: 1.389731 eta: 2 days, 21:48:26 batch_cost: 2.3092 data_cost: 0.0013 ips: 24.2507 images/s [10/15 07:47:20] ppdet.engine INFO: Epoch: [92] 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loss_bbox: 0.310004 loss_dfl: 0.194095 loss: 1.401793 eta: 2 days, 21:44:36 batch_cost: 2.3082 data_cost: 0.0013 ips: 24.2615 images/s [10/15 07:51:23] ppdet.engine INFO: Epoch: [92] [200/523] learning_rate: 0.313484 loss_vfl: 0.903098 loss_bbox: 0.310520 loss_dfl: 0.202768 loss: 1.423749 eta: 2 days, 21:43:49 batch_cost: 2.2979 data_cost: 0.0027 ips: 24.3698 images/s [10/15 07:52:11] ppdet.engine INFO: Epoch: [92] [220/523] learning_rate: 0.313418 loss_vfl: 0.886755 loss_bbox: 0.304105 loss_dfl: 0.202084 loss: 1.394857 eta: 2 days, 21:43:03 batch_cost: 2.3214 data_cost: 0.0012 ips: 24.1236 images/s [10/15 07:53:00] ppdet.engine INFO: Epoch: [92] [240/523] learning_rate: 0.313352 loss_vfl: 0.878973 loss_bbox: 0.321101 loss_dfl: 0.203778 loss: 1.402925 eta: 2 days, 21:42:16 batch_cost: 2.2931 data_cost: 0.0012 ips: 24.4207 images/s [10/15 07:53:48] ppdet.engine INFO: Epoch: [92] [260/523] learning_rate: 0.313286 loss_vfl: 0.871915 loss_bbox: 0.287317 loss_dfl: 0.182076 loss: 1.364558 eta: 2 days, 21:41:31 batch_cost: 2.3436 data_cost: 0.0013 ips: 23.8954 images/s [10/15 07:54:37] ppdet.engine INFO: Epoch: [92] [280/523] learning_rate: 0.313220 loss_vfl: 0.886572 loss_bbox: 0.299289 loss_dfl: 0.194708 loss: 1.384904 eta: 2 days, 21:40:44 batch_cost: 2.2970 data_cost: 0.0013 ips: 24.3797 images/s [10/15 07:55:26] ppdet.engine INFO: Epoch: [92] [300/523] learning_rate: 0.313154 loss_vfl: 0.888648 loss_bbox: 0.312621 loss_dfl: 0.196175 loss: 1.393410 eta: 2 days, 21:40:00 batch_cost: 2.3488 data_cost: 0.0018 ips: 23.8425 images/s [10/15 07:56:14] ppdet.engine INFO: Epoch: [92] [320/523] learning_rate: 0.313088 loss_vfl: 0.904681 loss_bbox: 0.285852 loss_dfl: 0.189518 loss: 1.365021 eta: 2 days, 21:39:13 batch_cost: 2.3067 data_cost: 0.0013 ips: 24.2770 images/s [10/15 07:57:04] ppdet.engine INFO: Epoch: [92] [340/523] learning_rate: 0.313022 loss_vfl: 0.901957 loss_bbox: 0.306281 loss_dfl: 0.197207 loss: 1.412370 eta: 2 days, 21:38:32 batch_cost: 2.4141 data_cost: 0.0039 ips: 23.1967 images/s [10/15 07:57:53] ppdet.engine INFO: Epoch: [92] [360/523] learning_rate: 0.312956 loss_vfl: 0.900786 loss_bbox: 0.306654 loss_dfl: 0.197611 loss: 1.391970 eta: 2 days, 21:37:46 batch_cost: 2.3299 data_cost: 0.0021 ips: 24.0354 images/s [10/15 07:58:42] ppdet.engine INFO: Epoch: [92] [380/523] learning_rate: 0.312890 loss_vfl: 0.877303 loss_bbox: 0.312054 loss_dfl: 0.189516 loss: 1.395054 eta: 2 days, 21:37:02 batch_cost: 2.3489 data_cost: 0.0015 ips: 23.8410 images/s [10/15 07:59:31] ppdet.engine INFO: Epoch: [92] [400/523] learning_rate: 0.312824 loss_vfl: 0.904339 loss_bbox: 0.318924 loss_dfl: 0.206041 loss: 1.441838 eta: 2 days, 21:36:16 batch_cost: 2.3277 data_cost: 0.0028 ips: 24.0577 images/s [10/15 08:00:20] ppdet.engine INFO: Epoch: [92] [420/523] learning_rate: 0.312758 loss_vfl: 0.900098 loss_bbox: 0.292254 loss_dfl: 0.190158 loss: 1.389726 eta: 2 days, 21:35:31 batch_cost: 2.3479 data_cost: 0.0013 ips: 23.8512 images/s [10/15 08:01:08] ppdet.engine INFO: Epoch: [92] [440/523] learning_rate: 0.312691 loss_vfl: 0.880311 loss_bbox: 0.315170 loss_dfl: 0.201220 loss: 1.394954 eta: 2 days, 21:34:44 batch_cost: 2.2928 data_cost: 0.0013 ips: 24.4239 images/s [10/15 08:01:57] ppdet.engine INFO: Epoch: [92] [460/523] learning_rate: 0.312625 loss_vfl: 0.901473 loss_bbox: 0.318333 loss_dfl: 0.202810 loss: 1.419679 eta: 2 days, 21:33:59 batch_cost: 2.3254 data_cost: 0.0016 ips: 24.0822 images/s [10/15 08:02:46] ppdet.engine INFO: Epoch: [92] [480/523] learning_rate: 0.312559 loss_vfl: 0.899631 loss_bbox: 0.301073 loss_dfl: 0.198698 loss: 1.388921 eta: 2 days, 21:33:11 batch_cost: 2.2842 data_cost: 0.0020 ips: 24.5167 images/s [10/15 08:03:35] ppdet.engine INFO: Epoch: [92] [500/523] learning_rate: 0.312493 loss_vfl: 0.877558 loss_bbox: 0.313093 loss_dfl: 0.195683 loss: 1.370965 eta: 2 days, 21:32:28 batch_cost: 2.3775 data_cost: 0.0018 ips: 23.5543 images/s [10/15 08:04:19] ppdet.engine INFO: Epoch: [92] [520/523] learning_rate: 0.312427 loss_vfl: 0.892834 loss_bbox: 0.299900 loss_dfl: 0.194384 loss: 1.383892 eta: 2 days, 21:31:32 batch_cost: 2.0877 data_cost: 0.0012 ips: 26.8236 images/s [10/15 08:04:49] ppdet.engine INFO: Epoch: [93] [ 0/523] learning_rate: 0.312417 loss_vfl: 0.886034 loss_bbox: 0.303827 loss_dfl: 0.195129 loss: 1.383892 eta: 2 days, 21:32:08 batch_cost: 3.0563 data_cost: 0.4261 ips: 18.3225 images/s [10/15 08:05:39] ppdet.engine INFO: Epoch: [93] [ 20/523] learning_rate: 0.312350 loss_vfl: 0.856656 loss_bbox: 0.300615 loss_dfl: 0.200157 loss: 1.384321 eta: 2 days, 21:31:25 batch_cost: 2.3836 data_cost: 0.0013 ips: 23.4936 images/s [10/15 08:06:28] ppdet.engine INFO: Epoch: [93] [ 40/523] learning_rate: 0.312284 loss_vfl: 0.880633 loss_bbox: 0.296326 loss_dfl: 0.189528 loss: 1.373433 eta: 2 days, 21:30:39 batch_cost: 2.3326 data_cost: 0.0012 ips: 24.0072 images/s [10/15 08:07:17] ppdet.engine INFO: Epoch: [93] [ 60/523] learning_rate: 0.312218 loss_vfl: 0.880824 loss_bbox: 0.304581 loss_dfl: 0.192329 loss: 1.382306 eta: 2 days, 21:29:55 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7813 images/s [10/15 08:08:06] ppdet.engine INFO: Epoch: [93] [ 80/523] learning_rate: 0.312152 loss_vfl: 0.892363 loss_bbox: 0.306465 loss_dfl: 0.202050 loss: 1.374372 eta: 2 days, 21:29:11 batch_cost: 2.3592 data_cost: 0.0013 ips: 23.7366 images/s [10/15 08:08:56] ppdet.engine INFO: Epoch: [93] [100/523] learning_rate: 0.312085 loss_vfl: 0.906955 loss_bbox: 0.282133 loss_dfl: 0.186374 loss: 1.368712 eta: 2 days, 21:28:26 batch_cost: 2.3549 data_cost: 0.0013 ips: 23.7801 images/s [10/15 08:09:43] ppdet.engine INFO: Epoch: [93] [120/523] learning_rate: 0.312019 loss_vfl: 0.884214 loss_bbox: 0.285855 loss_dfl: 0.184297 loss: 1.326325 eta: 2 days, 21:27:38 batch_cost: 2.2636 data_cost: 0.0013 ips: 24.7388 images/s [10/15 08:10:32] ppdet.engine INFO: Epoch: [93] [140/523] learning_rate: 0.311953 loss_vfl: 0.893130 loss_bbox: 0.296046 loss_dfl: 0.190120 loss: 1.395867 eta: 2 days, 21:26:53 batch_cost: 2.3446 data_cost: 0.0013 ips: 23.8844 images/s [10/15 08:11:19] ppdet.engine INFO: Epoch: [93] [160/523] learning_rate: 0.311886 loss_vfl: 0.883847 loss_bbox: 0.284315 loss_dfl: 0.190159 loss: 1.375206 eta: 2 days, 21:26:03 batch_cost: 2.2332 data_cost: 0.0013 ips: 25.0761 images/s [10/15 08:12:09] ppdet.engine INFO: Epoch: [93] [180/523] learning_rate: 0.311820 loss_vfl: 0.891115 loss_bbox: 0.292566 loss_dfl: 0.193657 loss: 1.406531 eta: 2 days, 21:25:19 batch_cost: 2.3586 data_cost: 0.0013 ips: 23.7433 images/s [10/15 08:12:57] ppdet.engine INFO: Epoch: [93] [200/523] learning_rate: 0.311753 loss_vfl: 0.876227 loss_bbox: 0.287845 loss_dfl: 0.189658 loss: 1.360934 eta: 2 days, 21:24:33 batch_cost: 2.3166 data_cost: 0.0021 ips: 24.1731 images/s [10/15 08:13:46] ppdet.engine INFO: Epoch: [93] [220/523] learning_rate: 0.311687 loss_vfl: 0.884858 loss_bbox: 0.290098 loss_dfl: 0.188662 loss: 1.378523 eta: 2 days, 21:23:46 batch_cost: 2.3007 data_cost: 0.0012 ips: 24.3408 images/s [10/15 08:14:34] ppdet.engine INFO: Epoch: [93] [240/523] learning_rate: 0.311620 loss_vfl: 0.867680 loss_bbox: 0.297675 loss_dfl: 0.190422 loss: 1.353331 eta: 2 days, 21:23:00 batch_cost: 2.3161 data_cost: 0.0015 ips: 24.1785 images/s [10/15 08:15:24] ppdet.engine INFO: Epoch: [93] [260/523] learning_rate: 0.311554 loss_vfl: 0.891630 loss_bbox: 0.301659 loss_dfl: 0.197054 loss: 1.370129 eta: 2 days, 21:22:17 batch_cost: 2.3716 data_cost: 0.0013 ips: 23.6123 images/s [10/15 08:16:12] ppdet.engine INFO: Epoch: [93] [280/523] learning_rate: 0.311488 loss_vfl: 0.907188 loss_bbox: 0.276568 loss_dfl: 0.185975 loss: 1.360328 eta: 2 days, 21:21:31 batch_cost: 2.3162 data_cost: 0.0016 ips: 24.1771 images/s [10/15 08:17:01] ppdet.engine INFO: Epoch: [93] [300/523] learning_rate: 0.311421 loss_vfl: 0.887067 loss_bbox: 0.291935 loss_dfl: 0.188402 loss: 1.367319 eta: 2 days, 21:20:44 batch_cost: 2.3128 data_cost: 0.0013 ips: 24.2126 images/s [10/15 08:17:49] ppdet.engine INFO: Epoch: [93] 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loss_bbox: 0.298459 loss_dfl: 0.197702 loss: 1.398841 eta: 2 days, 21:16:47 batch_cost: 2.3158 data_cost: 0.0013 ips: 24.1812 images/s [10/15 08:21:50] ppdet.engine INFO: Epoch: [93] [420/523] learning_rate: 0.311022 loss_vfl: 0.871582 loss_bbox: 0.281487 loss_dfl: 0.188289 loss: 1.357590 eta: 2 days, 21:16:04 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6575 images/s [10/15 08:22:38] ppdet.engine INFO: Epoch: [93] [440/523] learning_rate: 0.310955 loss_vfl: 0.883104 loss_bbox: 0.310286 loss_dfl: 0.194511 loss: 1.376459 eta: 2 days, 21:15:17 batch_cost: 2.3003 data_cost: 0.0014 ips: 24.3450 images/s [10/15 08:23:27] ppdet.engine INFO: Epoch: [93] [460/523] learning_rate: 0.310888 loss_vfl: 0.898609 loss_bbox: 0.281884 loss_dfl: 0.184426 loss: 1.371214 eta: 2 days, 21:14:33 batch_cost: 2.3659 data_cost: 0.0013 ips: 23.6694 images/s [10/15 08:24:16] ppdet.engine INFO: Epoch: [93] [480/523] learning_rate: 0.310822 loss_vfl: 0.891296 loss_bbox: 0.293600 loss_dfl: 0.190409 loss: 1.390278 eta: 2 days, 21:13:46 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4742 images/s [10/15 08:25:04] ppdet.engine INFO: Epoch: [93] [500/523] learning_rate: 0.310755 loss_vfl: 0.887840 loss_bbox: 0.313907 loss_dfl: 0.202305 loss: 1.407467 eta: 2 days, 21:12:59 batch_cost: 2.2999 data_cost: 0.0012 ips: 24.3484 images/s [10/15 08:25:47] ppdet.engine INFO: Epoch: [93] [520/523] learning_rate: 0.310688 loss_vfl: 0.898530 loss_bbox: 0.302871 loss_dfl: 0.196737 loss: 1.406027 eta: 2 days, 21:12:01 batch_cost: 2.0410 data_cost: 0.0013 ips: 27.4379 images/s [10/15 08:26:16] ppdet.engine INFO: Epoch: [94] [ 0/523] learning_rate: 0.310678 loss_vfl: 0.898530 loss_bbox: 0.293780 loss_dfl: 0.196737 loss: 1.392044 eta: 2 days, 21:12:34 batch_cost: 2.9628 data_cost: 0.5984 ips: 18.9009 images/s [10/15 08:27:06] ppdet.engine INFO: Epoch: [94] [ 20/523] learning_rate: 0.310612 loss_vfl: 0.878707 loss_bbox: 0.296230 loss_dfl: 0.189130 loss: 1.366982 eta: 2 days, 21:11:50 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6281 images/s [10/15 08:27:55] ppdet.engine INFO: Epoch: [94] [ 40/523] learning_rate: 0.310545 loss_vfl: 0.889448 loss_bbox: 0.314406 loss_dfl: 0.196971 loss: 1.408038 eta: 2 days, 21:11:06 batch_cost: 2.3757 data_cost: 0.0013 ips: 23.5721 images/s [10/15 08:28:43] ppdet.engine INFO: Epoch: [94] [ 60/523] learning_rate: 0.310478 loss_vfl: 0.873595 loss_bbox: 0.289917 loss_dfl: 0.187224 loss: 1.386083 eta: 2 days, 21:10:18 batch_cost: 2.2740 data_cost: 0.0013 ips: 24.6264 images/s [10/15 08:29:32] ppdet.engine INFO: Epoch: [94] [ 80/523] learning_rate: 0.310411 loss_vfl: 0.888445 loss_bbox: 0.300714 loss_dfl: 0.195760 loss: 1.389370 eta: 2 days, 21:09:33 batch_cost: 2.3405 data_cost: 0.0013 ips: 23.9261 images/s [10/15 08:30:21] ppdet.engine INFO: Epoch: [94] [100/523] learning_rate: 0.310345 loss_vfl: 0.883205 loss_bbox: 0.317253 loss_dfl: 0.205066 loss: 1.408025 eta: 2 days, 21:08:48 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0450 images/s [10/15 08:31:10] ppdet.engine INFO: Epoch: [94] [120/523] learning_rate: 0.310278 loss_vfl: 0.884264 loss_bbox: 0.300183 loss_dfl: 0.196580 loss: 1.363531 eta: 2 days, 21:08:03 batch_cost: 2.3398 data_cost: 0.0013 ips: 23.9337 images/s [10/15 08:31:59] ppdet.engine INFO: Epoch: [94] [140/523] learning_rate: 0.310211 loss_vfl: 0.878809 loss_bbox: 0.287718 loss_dfl: 0.181619 loss: 1.370782 eta: 2 days, 21:07:17 batch_cost: 2.3214 data_cost: 0.0023 ips: 24.1238 images/s [10/15 08:32:47] ppdet.engine INFO: Epoch: [94] [160/523] learning_rate: 0.310144 loss_vfl: 0.883621 loss_bbox: 0.294005 loss_dfl: 0.196652 loss: 1.384008 eta: 2 days, 21:06:30 batch_cost: 2.2861 data_cost: 0.0013 ips: 24.4960 images/s [10/15 08:33:35] ppdet.engine INFO: Epoch: [94] [180/523] learning_rate: 0.310077 loss_vfl: 0.880404 loss_bbox: 0.290891 loss_dfl: 0.190065 loss: 1.364620 eta: 2 days, 21:05:42 batch_cost: 2.2749 data_cost: 0.0013 ips: 24.6169 images/s [10/15 08:34:23] ppdet.engine INFO: Epoch: [94] [200/523] learning_rate: 0.310010 loss_vfl: 0.884067 loss_bbox: 0.302395 loss_dfl: 0.194557 loss: 1.419400 eta: 2 days, 21:04:55 batch_cost: 2.3011 data_cost: 0.0021 ips: 24.3358 images/s [10/15 08:35:12] ppdet.engine INFO: Epoch: [94] [220/523] learning_rate: 0.309943 loss_vfl: 0.885577 loss_bbox: 0.288130 loss_dfl: 0.190858 loss: 1.367578 eta: 2 days, 21:04:08 batch_cost: 2.2895 data_cost: 0.0013 ips: 24.4590 images/s [10/15 08:36:00] ppdet.engine INFO: Epoch: [94] [240/523] learning_rate: 0.309877 loss_vfl: 0.870533 loss_bbox: 0.311360 loss_dfl: 0.196418 loss: 1.396091 eta: 2 days, 21:03:21 batch_cost: 2.3055 data_cost: 0.0013 ips: 24.2894 images/s [10/15 08:36:48] ppdet.engine INFO: Epoch: [94] [260/523] learning_rate: 0.309810 loss_vfl: 0.881501 loss_bbox: 0.309873 loss_dfl: 0.197897 loss: 1.369076 eta: 2 days, 21:02:33 batch_cost: 2.2769 data_cost: 0.0012 ips: 24.5953 images/s [10/15 08:37:38] ppdet.engine INFO: Epoch: [94] [280/523] learning_rate: 0.309743 loss_vfl: 0.905082 loss_bbox: 0.297592 loss_dfl: 0.187442 loss: 1.368084 eta: 2 days, 21:01:51 batch_cost: 2.4037 data_cost: 0.0013 ips: 23.2979 images/s [10/15 08:38:27] ppdet.engine INFO: Epoch: [94] [300/523] learning_rate: 0.309676 loss_vfl: 0.887021 loss_bbox: 0.316753 loss_dfl: 0.202566 loss: 1.399312 eta: 2 days, 21:01:06 batch_cost: 2.3319 data_cost: 0.0013 ips: 24.0143 images/s [10/15 08:39:16] ppdet.engine INFO: Epoch: [94] [320/523] learning_rate: 0.309609 loss_vfl: 0.883742 loss_bbox: 0.318738 loss_dfl: 0.199378 loss: 1.410776 eta: 2 days, 21:00:21 batch_cost: 2.3511 data_cost: 0.0012 ips: 23.8185 images/s [10/15 08:40:03] ppdet.engine INFO: Epoch: [94] [340/523] learning_rate: 0.309542 loss_vfl: 0.871894 loss_bbox: 0.291159 loss_dfl: 0.186132 loss: 1.365606 eta: 2 days, 20:59:33 batch_cost: 2.2826 data_cost: 0.0012 ips: 24.5339 images/s [10/15 08:40:51] ppdet.engine INFO: Epoch: [94] [360/523] learning_rate: 0.309475 loss_vfl: 0.895884 loss_bbox: 0.304040 loss_dfl: 0.197288 loss: 1.388055 eta: 2 days, 20:58:45 batch_cost: 2.2520 data_cost: 0.0013 ips: 24.8671 images/s [10/15 08:41:39] ppdet.engine INFO: Epoch: [94] [380/523] learning_rate: 0.309408 loss_vfl: 0.871034 loss_bbox: 0.319202 loss_dfl: 0.198884 loss: 1.406047 eta: 2 days, 20:57:59 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1314 images/s [10/15 08:42:28] ppdet.engine INFO: Epoch: [94] [400/523] learning_rate: 0.309341 loss_vfl: 0.881722 loss_bbox: 0.310297 loss_dfl: 0.194193 loss: 1.394351 eta: 2 days, 20:57:12 batch_cost: 2.3010 data_cost: 0.0013 ips: 24.3374 images/s [10/15 08:43:16] ppdet.engine INFO: Epoch: [94] [420/523] learning_rate: 0.309274 loss_vfl: 0.877428 loss_bbox: 0.292720 loss_dfl: 0.188242 loss: 1.381998 eta: 2 days, 20:56:24 batch_cost: 2.2700 data_cost: 0.0015 ips: 24.6694 images/s [10/15 08:44:04] ppdet.engine INFO: Epoch: [94] [440/523] learning_rate: 0.309206 loss_vfl: 0.877537 loss_bbox: 0.289277 loss_dfl: 0.190141 loss: 1.366297 eta: 2 days, 20:55:38 batch_cost: 2.3292 data_cost: 0.0014 ips: 24.0424 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loss_bbox: 0.296273 loss_dfl: 0.188774 loss: 1.370414 eta: 2 days, 20:49:50 batch_cost: 2.3072 data_cost: 0.0012 ips: 24.2719 images/s [10/15 08:51:44] ppdet.engine INFO: Epoch: [95] [100/523] learning_rate: 0.308592 loss_vfl: 0.878977 loss_bbox: 0.330489 loss_dfl: 0.213429 loss: 1.401625 eta: 2 days, 20:49:01 batch_cost: 2.2508 data_cost: 0.0013 ips: 24.8796 images/s [10/15 08:52:33] ppdet.engine INFO: Epoch: [95] [120/523] learning_rate: 0.308524 loss_vfl: 0.865618 loss_bbox: 0.285844 loss_dfl: 0.186955 loss: 1.348190 eta: 2 days, 20:48:15 batch_cost: 2.3100 data_cost: 0.0012 ips: 24.2428 images/s [10/15 08:53:20] ppdet.engine INFO: Epoch: [95] [140/523] learning_rate: 0.308457 loss_vfl: 0.885984 loss_bbox: 0.298950 loss_dfl: 0.194926 loss: 1.389762 eta: 2 days, 20:47:26 batch_cost: 2.2581 data_cost: 0.0013 ips: 24.8000 images/s [10/15 08:54:08] ppdet.engine INFO: Epoch: [95] [160/523] learning_rate: 0.308390 loss_vfl: 0.887964 loss_bbox: 0.315170 loss_dfl: 0.195512 loss: 1.405311 eta: 2 days, 20:46:39 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3427 images/s [10/15 08:54:56] ppdet.engine INFO: Epoch: [95] [180/523] learning_rate: 0.308323 loss_vfl: 0.891455 loss_bbox: 0.306346 loss_dfl: 0.197313 loss: 1.416671 eta: 2 days, 20:45:51 batch_cost: 2.2746 data_cost: 0.0013 ips: 24.6199 images/s [10/15 08:55:44] ppdet.engine INFO: Epoch: [95] [200/523] learning_rate: 0.308255 loss_vfl: 0.880244 loss_bbox: 0.311958 loss_dfl: 0.194360 loss: 1.396365 eta: 2 days, 20:45:05 batch_cost: 2.3118 data_cost: 0.0013 ips: 24.2240 images/s [10/15 08:56:32] ppdet.engine INFO: Epoch: [95] [220/523] learning_rate: 0.308188 loss_vfl: 0.871192 loss_bbox: 0.287102 loss_dfl: 0.192614 loss: 1.373920 eta: 2 days, 20:44:15 batch_cost: 2.2388 data_cost: 0.0012 ips: 25.0135 images/s [10/15 08:57:21] ppdet.engine INFO: Epoch: [95] [240/523] learning_rate: 0.308121 loss_vfl: 0.911919 loss_bbox: 0.272895 loss_dfl: 0.180438 loss: 1.379135 eta: 2 days, 20:43:31 batch_cost: 2.3531 data_cost: 0.0013 ips: 23.7984 images/s [10/15 08:58:10] ppdet.engine INFO: Epoch: [95] [260/523] learning_rate: 0.308053 loss_vfl: 0.898695 loss_bbox: 0.291046 loss_dfl: 0.190449 loss: 1.371671 eta: 2 days, 20:42:45 batch_cost: 2.3300 data_cost: 0.0012 ips: 24.0347 images/s [10/15 08:58:57] ppdet.engine INFO: Epoch: [95] [280/523] learning_rate: 0.307986 loss_vfl: 0.903394 loss_bbox: 0.307965 loss_dfl: 0.195032 loss: 1.392453 eta: 2 days, 20:41:57 batch_cost: 2.2648 data_cost: 0.0013 ips: 24.7260 images/s [10/15 08:59:45] ppdet.engine INFO: Epoch: [95] [300/523] learning_rate: 0.307918 loss_vfl: 0.869694 loss_bbox: 0.306163 loss_dfl: 0.191326 loss: 1.378549 eta: 2 days, 20:41:08 batch_cost: 2.2502 data_cost: 0.0017 ips: 24.8867 images/s [10/15 09:00:32] ppdet.engine INFO: Epoch: [95] [320/523] learning_rate: 0.307851 loss_vfl: 0.869259 loss_bbox: 0.317060 loss_dfl: 0.194496 loss: 1.397281 eta: 2 days, 20:40:19 batch_cost: 2.2419 data_cost: 0.0014 ips: 24.9785 images/s [10/15 09:01:19] ppdet.engine INFO: Epoch: [95] [340/523] learning_rate: 0.307783 loss_vfl: 0.880051 loss_bbox: 0.307829 loss_dfl: 0.193726 loss: 1.391374 eta: 2 days, 20:39:31 batch_cost: 2.2788 data_cost: 0.0015 ips: 24.5739 images/s [10/15 09:02:07] ppdet.engine INFO: Epoch: [95] [360/523] learning_rate: 0.307716 loss_vfl: 0.879328 loss_bbox: 0.281039 loss_dfl: 0.183230 loss: 1.361686 eta: 2 days, 20:38:43 batch_cost: 2.2774 data_cost: 0.0012 ips: 24.5897 images/s [10/15 09:02:55] ppdet.engine INFO: Epoch: [95] [380/523] learning_rate: 0.307648 loss_vfl: 0.898295 loss_bbox: 0.311501 loss_dfl: 0.199788 loss: 1.422733 eta: 2 days, 20:37:57 batch_cost: 2.3127 data_cost: 0.0014 ips: 24.2142 images/s [10/15 09:03:44] ppdet.engine INFO: Epoch: [95] [400/523] learning_rate: 0.307581 loss_vfl: 0.893894 loss_bbox: 0.290505 loss_dfl: 0.185112 loss: 1.346484 eta: 2 days, 20:37:12 batch_cost: 2.3379 data_cost: 0.0013 ips: 23.9530 images/s [10/15 09:04:32] ppdet.engine INFO: Epoch: [95] [420/523] learning_rate: 0.307513 loss_vfl: 0.882133 loss_bbox: 0.294290 loss_dfl: 0.194636 loss: 1.353072 eta: 2 days, 20:36:25 batch_cost: 2.2969 data_cost: 0.0012 ips: 24.3804 images/s [10/15 09:05:21] ppdet.engine INFO: Epoch: [95] [440/523] learning_rate: 0.307446 loss_vfl: 0.886751 loss_bbox: 0.302617 loss_dfl: 0.192551 loss: 1.409489 eta: 2 days, 20:35:41 batch_cost: 2.3528 data_cost: 0.0020 ips: 23.8011 images/s [10/15 09:06:12] ppdet.engine INFO: Epoch: [95] [460/523] learning_rate: 0.307378 loss_vfl: 0.888061 loss_bbox: 0.304931 loss_dfl: 0.198457 loss: 1.406822 eta: 2 days, 20:34:57 batch_cost: 2.3775 data_cost: 0.0013 ips: 23.5537 images/s [10/15 09:07:00] ppdet.engine INFO: Epoch: [95] [480/523] learning_rate: 0.307311 loss_vfl: 0.871258 loss_bbox: 0.293907 loss_dfl: 0.190563 loss: 1.343906 eta: 2 days, 20:34:10 batch_cost: 2.2932 data_cost: 0.0019 ips: 24.4198 images/s [10/15 09:07:49] ppdet.engine INFO: Epoch: [95] [500/523] learning_rate: 0.307243 loss_vfl: 0.887767 loss_bbox: 0.288704 loss_dfl: 0.186000 loss: 1.358631 eta: 2 days, 20:33:24 batch_cost: 2.3210 data_cost: 0.0013 ips: 24.1278 images/s [10/15 09:08:31] ppdet.engine INFO: Epoch: [95] [520/523] learning_rate: 0.307176 loss_vfl: 0.880861 loss_bbox: 0.293609 loss_dfl: 0.192246 loss: 1.383290 eta: 2 days, 20:32:25 batch_cost: 2.0099 data_cost: 0.0012 ips: 27.8623 images/s [10/15 09:08:58] ppdet.engine INFO: Epoch: [96] [ 0/523] learning_rate: 0.307165 loss_vfl: 0.880861 loss_bbox: 0.287439 loss_dfl: 0.189991 loss: 1.377857 eta: 2 days, 20:32:54 batch_cost: 2.8548 data_cost: 0.6483 ips: 19.6158 images/s [10/15 09:09:53] ppdet.engine INFO: Epoch: [96] [ 20/523] learning_rate: 0.307098 loss_vfl: 0.888130 loss_bbox: 0.288908 loss_dfl: 0.191688 loss: 1.351171 eta: 2 days, 20:32:20 batch_cost: 2.6009 data_cost: 0.0026 ips: 21.5314 images/s [10/15 09:10:43] ppdet.engine INFO: Epoch: [96] [ 40/523] learning_rate: 0.307030 loss_vfl: 0.876173 loss_bbox: 0.304198 loss_dfl: 0.190505 loss: 1.367549 eta: 2 days, 20:31:36 batch_cost: 2.3819 data_cost: 0.0013 ips: 23.5108 images/s [10/15 09:11:31] ppdet.engine INFO: Epoch: [96] [ 60/523] learning_rate: 0.306962 loss_vfl: 0.883598 loss_bbox: 0.308457 loss_dfl: 0.197810 loss: 1.387233 eta: 2 days, 20:30:50 batch_cost: 2.3219 data_cost: 0.0013 ips: 24.1181 images/s [10/15 09:12:19] ppdet.engine INFO: Epoch: [96] [ 80/523] learning_rate: 0.306895 loss_vfl: 0.881284 loss_bbox: 0.311073 loss_dfl: 0.196622 loss: 1.399299 eta: 2 days, 20:30:03 batch_cost: 2.2916 data_cost: 0.0013 ips: 24.4374 images/s [10/15 09:13:06] ppdet.engine INFO: Epoch: [96] [100/523] learning_rate: 0.306827 loss_vfl: 0.878901 loss_bbox: 0.311174 loss_dfl: 0.192391 loss: 1.348403 eta: 2 days, 20:29:15 batch_cost: 2.2565 data_cost: 0.0012 ips: 24.8168 images/s [10/15 09:13:55] ppdet.engine INFO: Epoch: [96] [120/523] learning_rate: 0.306759 loss_vfl: 0.872040 loss_bbox: 0.321516 loss_dfl: 0.202022 loss: 1.414313 eta: 2 days, 20:28:28 batch_cost: 2.3081 data_cost: 0.0014 ips: 24.2619 images/s [10/15 09:14:42] ppdet.engine INFO: Epoch: [96] [140/523] learning_rate: 0.306692 loss_vfl: 0.906030 loss_bbox: 0.289002 loss_dfl: 0.189613 loss: 1.381169 eta: 2 days, 20:27:40 batch_cost: 2.2670 data_cost: 0.0013 ips: 24.7023 images/s [10/15 09:15:31] ppdet.engine INFO: Epoch: [96] [160/523] learning_rate: 0.306624 loss_vfl: 0.881360 loss_bbox: 0.308732 loss_dfl: 0.196413 loss: 1.378158 eta: 2 days, 20:26:54 batch_cost: 2.3173 data_cost: 0.0013 ips: 24.1658 images/s [10/15 09:16:21] ppdet.engine INFO: Epoch: [96] [180/523] learning_rate: 0.306556 loss_vfl: 0.882160 loss_bbox: 0.300814 loss_dfl: 0.191444 loss: 1.366414 eta: 2 days, 20:26:10 batch_cost: 2.3759 data_cost: 0.0013 ips: 23.5697 images/s [10/15 09:17:10] ppdet.engine INFO: Epoch: [96] [200/523] learning_rate: 0.306488 loss_vfl: 0.896680 loss_bbox: 0.306125 loss_dfl: 0.195847 loss: 1.386654 eta: 2 days, 20:25:24 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2058 images/s [10/15 09:18:00] ppdet.engine INFO: Epoch: [96] 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loss_bbox: 0.305235 loss_dfl: 0.194547 loss: 1.378012 eta: 2 days, 20:21:33 batch_cost: 2.3004 data_cost: 0.0012 ips: 24.3440 images/s [10/15 09:22:02] ppdet.engine INFO: Epoch: [96] [320/523] learning_rate: 0.306081 loss_vfl: 0.889825 loss_bbox: 0.305437 loss_dfl: 0.200115 loss: 1.417868 eta: 2 days, 20:20:46 batch_cost: 2.2929 data_cost: 0.0013 ips: 24.4229 images/s [10/15 09:22:51] ppdet.engine INFO: Epoch: [96] [340/523] learning_rate: 0.306013 loss_vfl: 0.916988 loss_bbox: 0.300059 loss_dfl: 0.192669 loss: 1.384331 eta: 2 days, 20:20:02 batch_cost: 2.3738 data_cost: 0.0013 ips: 23.5908 images/s [10/15 09:23:39] ppdet.engine INFO: Epoch: [96] [360/523] learning_rate: 0.305945 loss_vfl: 0.875847 loss_bbox: 0.304003 loss_dfl: 0.191869 loss: 1.381251 eta: 2 days, 20:19:14 batch_cost: 2.2757 data_cost: 0.0012 ips: 24.6079 images/s [10/15 09:24:28] ppdet.engine INFO: Epoch: [96] [380/523] learning_rate: 0.305877 loss_vfl: 0.884931 loss_bbox: 0.299088 loss_dfl: 0.192577 loss: 1.376719 eta: 2 days, 20:18:28 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1151 images/s [10/15 09:25:17] ppdet.engine INFO: Epoch: [96] [400/523] learning_rate: 0.305809 loss_vfl: 0.878822 loss_bbox: 0.312685 loss_dfl: 0.201407 loss: 1.403041 eta: 2 days, 20:17:43 batch_cost: 2.3272 data_cost: 0.0013 ips: 24.0631 images/s [10/15 09:26:05] ppdet.engine INFO: Epoch: [96] [420/523] learning_rate: 0.305741 loss_vfl: 0.881101 loss_bbox: 0.314646 loss_dfl: 0.199294 loss: 1.402271 eta: 2 days, 20:16:54 batch_cost: 2.2655 data_cost: 0.0014 ips: 24.7189 images/s [10/15 09:26:53] ppdet.engine INFO: Epoch: [96] [440/523] learning_rate: 0.305674 loss_vfl: 0.890884 loss_bbox: 0.285418 loss_dfl: 0.186532 loss: 1.377367 eta: 2 days, 20:16:07 batch_cost: 2.2806 data_cost: 0.0013 ips: 24.5550 images/s [10/15 09:27:41] ppdet.engine INFO: Epoch: [96] [460/523] learning_rate: 0.305605 loss_vfl: 0.899505 loss_bbox: 0.298759 loss_dfl: 0.185141 loss: 1.386336 eta: 2 days, 20:15:19 batch_cost: 2.2652 data_cost: 0.0013 ips: 24.7222 images/s [10/15 09:28:30] ppdet.engine INFO: Epoch: [96] [480/523] learning_rate: 0.305537 loss_vfl: 0.876588 loss_bbox: 0.311866 loss_dfl: 0.199726 loss: 1.396088 eta: 2 days, 20:14:34 batch_cost: 2.3587 data_cost: 0.0013 ips: 23.7416 images/s [10/15 09:29:20] ppdet.engine INFO: Epoch: [96] [500/523] learning_rate: 0.305469 loss_vfl: 0.889856 loss_bbox: 0.287545 loss_dfl: 0.183834 loss: 1.378232 eta: 2 days, 20:13:50 batch_cost: 2.3653 data_cost: 0.0059 ips: 23.6756 images/s [10/15 09:30:03] ppdet.engine INFO: Epoch: [96] [520/523] learning_rate: 0.305401 loss_vfl: 0.887932 loss_bbox: 0.306564 loss_dfl: 0.197816 loss: 1.390886 eta: 2 days, 20:12:53 batch_cost: 2.0521 data_cost: 0.0012 ips: 27.2896 images/s [10/15 09:30:34] ppdet.engine INFO: Epoch: [97] [ 0/523] learning_rate: 0.305391 loss_vfl: 0.891433 loss_bbox: 0.304663 loss_dfl: 0.199529 loss: 1.391631 eta: 2 days, 20:13:29 batch_cost: 3.0659 data_cost: 0.6801 ips: 18.2657 images/s [10/15 09:31:25] ppdet.engine INFO: Epoch: [97] [ 20/523] learning_rate: 0.305323 loss_vfl: 0.869689 loss_bbox: 0.317464 loss_dfl: 0.198266 loss: 1.397253 eta: 2 days, 20:12:47 batch_cost: 2.4117 data_cost: 0.0014 ips: 23.2198 images/s [10/15 09:32:14] ppdet.engine INFO: Epoch: [97] [ 40/523] learning_rate: 0.305255 loss_vfl: 0.871159 loss_bbox: 0.302919 loss_dfl: 0.204190 loss: 1.383720 eta: 2 days, 20:12:04 batch_cost: 2.3839 data_cost: 0.0013 ips: 23.4905 images/s [10/15 09:33:04] ppdet.engine INFO: Epoch: [97] [ 60/523] learning_rate: 0.305187 loss_vfl: 0.886480 loss_bbox: 0.293897 loss_dfl: 0.191412 loss: 1.390296 eta: 2 days, 20:11:20 batch_cost: 2.3736 data_cost: 0.0013 ips: 23.5929 images/s [10/15 09:33:53] ppdet.engine INFO: Epoch: [97] [ 80/523] learning_rate: 0.305119 loss_vfl: 0.878140 loss_bbox: 0.295544 loss_dfl: 0.194732 loss: 1.367003 eta: 2 days, 20:10:34 batch_cost: 2.3199 data_cost: 0.0013 ips: 24.1386 images/s [10/15 09:34:42] ppdet.engine INFO: Epoch: [97] [100/523] learning_rate: 0.305051 loss_vfl: 0.899320 loss_bbox: 0.290595 loss_dfl: 0.187301 loss: 1.391591 eta: 2 days, 20:09:48 batch_cost: 2.3242 data_cost: 0.0013 ips: 24.0945 images/s [10/15 09:35:31] ppdet.engine INFO: Epoch: [97] [120/523] learning_rate: 0.304982 loss_vfl: 0.883947 loss_bbox: 0.285063 loss_dfl: 0.186470 loss: 1.355406 eta: 2 days, 20:09:04 batch_cost: 2.3456 data_cost: 0.0012 ips: 23.8744 images/s [10/15 09:36:20] ppdet.engine INFO: Epoch: [97] [140/523] learning_rate: 0.304914 loss_vfl: 0.889511 loss_bbox: 0.299122 loss_dfl: 0.193050 loss: 1.379044 eta: 2 days, 20:08:17 batch_cost: 2.3189 data_cost: 0.0013 ips: 24.1492 images/s [10/15 09:37:09] ppdet.engine INFO: Epoch: [97] [160/523] learning_rate: 0.304846 loss_vfl: 0.894015 loss_bbox: 0.315308 loss_dfl: 0.204280 loss: 1.418371 eta: 2 days, 20:07:32 batch_cost: 2.3428 data_cost: 0.0013 ips: 23.9035 images/s [10/15 09:37:58] ppdet.engine INFO: Epoch: [97] [180/523] learning_rate: 0.304778 loss_vfl: 0.871576 loss_bbox: 0.322590 loss_dfl: 0.200991 loss: 1.383139 eta: 2 days, 20:06:48 batch_cost: 2.3655 data_cost: 0.0013 ips: 23.6735 images/s [10/15 09:38:47] ppdet.engine INFO: Epoch: [97] [200/523] learning_rate: 0.304710 loss_vfl: 0.894749 loss_bbox: 0.298591 loss_dfl: 0.184657 loss: 1.374962 eta: 2 days, 20:06:03 batch_cost: 2.3432 data_cost: 0.0013 ips: 23.8988 images/s [10/15 09:39:36] ppdet.engine INFO: Epoch: [97] [220/523] learning_rate: 0.304641 loss_vfl: 0.895907 loss_bbox: 0.309061 loss_dfl: 0.200911 loss: 1.394890 eta: 2 days, 20:05:19 batch_cost: 2.3545 data_cost: 0.0070 ips: 23.7841 images/s [10/15 09:40:26] ppdet.engine INFO: Epoch: [97] [240/523] learning_rate: 0.304573 loss_vfl: 0.888680 loss_bbox: 0.304877 loss_dfl: 0.195190 loss: 1.392323 eta: 2 days, 20:04:35 batch_cost: 2.3697 data_cost: 0.0012 ips: 23.6312 images/s [10/15 09:41:15] ppdet.engine INFO: Epoch: [97] [260/523] learning_rate: 0.304505 loss_vfl: 0.880983 loss_bbox: 0.300816 loss_dfl: 0.198219 loss: 1.390412 eta: 2 days, 20:03:49 batch_cost: 2.3339 data_cost: 0.0015 ips: 23.9943 images/s [10/15 09:42:03] ppdet.engine INFO: Epoch: [97] [280/523] learning_rate: 0.304437 loss_vfl: 0.881317 loss_bbox: 0.294486 loss_dfl: 0.188653 loss: 1.369029 eta: 2 days, 20:03:02 batch_cost: 2.2921 data_cost: 0.0013 ips: 24.4319 images/s [10/15 09:42:51] ppdet.engine INFO: Epoch: [97] [300/523] learning_rate: 0.304368 loss_vfl: 0.876135 loss_bbox: 0.291166 loss_dfl: 0.187630 loss: 1.370605 eta: 2 days, 20:02:15 batch_cost: 2.2819 data_cost: 0.0013 ips: 24.5412 images/s [10/15 09:43:38] ppdet.engine INFO: Epoch: [97] [320/523] learning_rate: 0.304300 loss_vfl: 0.886987 loss_bbox: 0.317823 loss_dfl: 0.201445 loss: 1.395470 eta: 2 days, 20:01:27 batch_cost: 2.2808 data_cost: 0.0014 ips: 24.5525 images/s [10/15 09:44:28] ppdet.engine INFO: Epoch: [97] [340/523] learning_rate: 0.304232 loss_vfl: 0.897920 loss_bbox: 0.291055 loss_dfl: 0.182439 loss: 1.382075 eta: 2 days, 20:00:44 batch_cost: 2.3815 data_cost: 0.0012 ips: 23.5148 images/s [10/15 09:45:18] ppdet.engine INFO: Epoch: [97] [360/523] learning_rate: 0.304163 loss_vfl: 0.891245 loss_bbox: 0.304517 loss_dfl: 0.197418 loss: 1.408587 eta: 2 days, 20:00:00 batch_cost: 2.3702 data_cost: 0.0013 ips: 23.6269 images/s [10/15 09:46:07] ppdet.engine INFO: Epoch: [97] [380/523] learning_rate: 0.304095 loss_vfl: 0.895736 loss_bbox: 0.316387 loss_dfl: 0.200385 loss: 1.422286 eta: 2 days, 19:59:14 batch_cost: 2.3340 data_cost: 0.0013 ips: 23.9935 images/s [10/15 09:46:55] ppdet.engine INFO: Epoch: [97] [400/523] learning_rate: 0.304026 loss_vfl: 0.867087 loss_bbox: 0.282385 loss_dfl: 0.184130 loss: 1.328118 eta: 2 days, 19:58:26 batch_cost: 2.2722 data_cost: 0.0013 ips: 24.6462 images/s [10/15 09:47:42] ppdet.engine INFO: Epoch: [97] [420/523] learning_rate: 0.303958 loss_vfl: 0.896389 loss_bbox: 0.288205 loss_dfl: 0.183098 loss: 1.356192 eta: 2 days, 19:57:38 batch_cost: 2.2708 data_cost: 0.0012 ips: 24.6614 images/s [10/15 09:48:30] ppdet.engine INFO: Epoch: [97] 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loss_bbox: 0.302283 loss_dfl: 0.191452 loss: 1.420778 eta: 2 days, 19:53:33 batch_cost: 2.0125 data_cost: 0.0012 ips: 27.8255 images/s [10/15 09:52:05] ppdet.engine INFO: Epoch: [98] [ 0/523] learning_rate: 0.303605 loss_vfl: 0.884738 loss_bbox: 0.297247 loss_dfl: 0.186085 loss: 1.369691 eta: 2 days, 19:53:59 batch_cost: 2.8163 data_cost: 0.5497 ips: 19.8843 images/s [10/15 09:52:58] ppdet.engine INFO: Epoch: [98] [ 20/523] learning_rate: 0.303537 loss_vfl: 0.870365 loss_bbox: 0.313725 loss_dfl: 0.196110 loss: 1.390899 eta: 2 days, 19:53:22 batch_cost: 2.5266 data_cost: 0.0013 ips: 22.1639 images/s [10/15 09:53:47] ppdet.engine INFO: Epoch: [98] [ 40/523] learning_rate: 0.303468 loss_vfl: 0.883778 loss_bbox: 0.302136 loss_dfl: 0.193357 loss: 1.384957 eta: 2 days, 19:52:37 batch_cost: 2.3407 data_cost: 0.0012 ips: 23.9244 images/s [10/15 09:54:36] ppdet.engine INFO: Epoch: [98] [ 60/523] learning_rate: 0.303400 loss_vfl: 0.860692 loss_bbox: 0.302834 loss_dfl: 0.193445 loss: 1.348462 eta: 2 days, 19:51:51 batch_cost: 2.3170 data_cost: 0.0013 ips: 24.1695 images/s [10/15 09:55:24] ppdet.engine INFO: Epoch: [98] [ 80/523] learning_rate: 0.303331 loss_vfl: 0.892999 loss_bbox: 0.326876 loss_dfl: 0.201864 loss: 1.406413 eta: 2 days, 19:51:03 batch_cost: 2.2740 data_cost: 0.0012 ips: 24.6257 images/s [10/15 09:56:12] ppdet.engine INFO: Epoch: [98] [100/523] learning_rate: 0.303263 loss_vfl: 0.879710 loss_bbox: 0.306825 loss_dfl: 0.194184 loss: 1.388697 eta: 2 days, 19:50:15 batch_cost: 2.2759 data_cost: 0.0053 ips: 24.6052 images/s [10/15 09:57:01] ppdet.engine INFO: Epoch: [98] [120/523] learning_rate: 0.303194 loss_vfl: 0.878079 loss_bbox: 0.292060 loss_dfl: 0.182930 loss: 1.360533 eta: 2 days, 19:49:29 batch_cost: 2.3230 data_cost: 0.0022 ips: 24.1068 images/s [10/15 09:57:50] ppdet.engine INFO: Epoch: [98] [140/523] learning_rate: 0.303125 loss_vfl: 0.888224 loss_bbox: 0.302376 loss_dfl: 0.195910 loss: 1.393931 eta: 2 days, 19:48:44 batch_cost: 2.3476 data_cost: 0.0013 ips: 23.8540 images/s [10/15 09:58:39] ppdet.engine INFO: Epoch: [98] [160/523] learning_rate: 0.303057 loss_vfl: 0.874730 loss_bbox: 0.302337 loss_dfl: 0.192876 loss: 1.369649 eta: 2 days, 19:48:00 batch_cost: 2.3613 data_cost: 0.0013 ips: 23.7162 images/s [10/15 09:59:28] ppdet.engine INFO: Epoch: [98] [180/523] learning_rate: 0.302988 loss_vfl: 0.872088 loss_bbox: 0.299828 loss_dfl: 0.187482 loss: 1.357452 eta: 2 days, 19:47:15 batch_cost: 2.3513 data_cost: 0.0013 ips: 23.8170 images/s [10/15 10:00:17] ppdet.engine INFO: Epoch: [98] [200/523] learning_rate: 0.302919 loss_vfl: 0.871866 loss_bbox: 0.307443 loss_dfl: 0.192976 loss: 1.376805 eta: 2 days, 19:46:28 batch_cost: 2.3010 data_cost: 0.0014 ips: 24.3368 images/s [10/15 10:01:05] ppdet.engine INFO: Epoch: [98] [220/523] learning_rate: 0.302851 loss_vfl: 0.871779 loss_bbox: 0.298259 loss_dfl: 0.195126 loss: 1.366258 eta: 2 days, 19:45:41 batch_cost: 2.2932 data_cost: 0.0013 ips: 24.4200 images/s [10/15 10:01:54] ppdet.engine INFO: Epoch: [98] [240/523] learning_rate: 0.302782 loss_vfl: 0.899720 loss_bbox: 0.309442 loss_dfl: 0.193445 loss: 1.424543 eta: 2 days, 19:44:55 batch_cost: 2.3246 data_cost: 0.0014 ips: 24.0898 images/s [10/15 10:02:43] ppdet.engine INFO: Epoch: [98] [260/523] learning_rate: 0.302713 loss_vfl: 0.880840 loss_bbox: 0.301968 loss_dfl: 0.189334 loss: 1.375847 eta: 2 days, 19:44:10 batch_cost: 2.3380 data_cost: 0.0013 ips: 23.9526 images/s [10/15 10:03:32] ppdet.engine INFO: Epoch: [98] [280/523] learning_rate: 0.302645 loss_vfl: 0.903846 loss_bbox: 0.304371 loss_dfl: 0.189202 loss: 1.391229 eta: 2 days, 19:43:25 batch_cost: 2.3424 data_cost: 0.0012 ips: 23.9069 images/s [10/15 10:04:21] ppdet.engine INFO: Epoch: [98] [300/523] learning_rate: 0.302576 loss_vfl: 0.864460 loss_bbox: 0.300097 loss_dfl: 0.197598 loss: 1.409733 eta: 2 days, 19:42:39 batch_cost: 2.3285 data_cost: 0.0013 ips: 24.0500 images/s [10/15 10:05:10] ppdet.engine INFO: Epoch: [98] [320/523] learning_rate: 0.302507 loss_vfl: 0.879308 loss_bbox: 0.293855 loss_dfl: 0.185603 loss: 1.396654 eta: 2 days, 19:41:55 batch_cost: 2.3713 data_cost: 0.0019 ips: 23.6154 images/s [10/15 10:05:58] ppdet.engine INFO: Epoch: [98] [340/523] learning_rate: 0.302438 loss_vfl: 0.885143 loss_bbox: 0.294695 loss_dfl: 0.194086 loss: 1.358520 eta: 2 days, 19:41:08 batch_cost: 2.3025 data_cost: 0.0012 ips: 24.3214 images/s [10/15 10:06:48] ppdet.engine INFO: Epoch: [98] [360/523] learning_rate: 0.302370 loss_vfl: 0.871050 loss_bbox: 0.298197 loss_dfl: 0.187289 loss: 1.352851 eta: 2 days, 19:40:25 batch_cost: 2.3846 data_cost: 0.0012 ips: 23.4837 images/s [10/15 10:07:37] ppdet.engine INFO: Epoch: [98] [380/523] learning_rate: 0.302301 loss_vfl: 0.894120 loss_bbox: 0.288403 loss_dfl: 0.183647 loss: 1.372829 eta: 2 days, 19:39:40 batch_cost: 2.3363 data_cost: 0.0033 ips: 23.9699 images/s [10/15 10:08:27] ppdet.engine INFO: Epoch: [98] [400/523] learning_rate: 0.302232 loss_vfl: 0.871162 loss_bbox: 0.315746 loss_dfl: 0.200829 loss: 1.392373 eta: 2 days, 19:38:58 batch_cost: 2.4146 data_cost: 0.0012 ips: 23.1926 images/s [10/15 10:09:15] ppdet.engine INFO: Epoch: [98] [420/523] learning_rate: 0.302163 loss_vfl: 0.880051 loss_bbox: 0.309185 loss_dfl: 0.199376 loss: 1.390712 eta: 2 days, 19:38:11 batch_cost: 2.3003 data_cost: 0.0012 ips: 24.3452 images/s [10/15 10:10:04] ppdet.engine INFO: Epoch: [98] [440/523] learning_rate: 0.302094 loss_vfl: 0.884818 loss_bbox: 0.292024 loss_dfl: 0.190534 loss: 1.367150 eta: 2 days, 19:37:24 batch_cost: 2.3109 data_cost: 0.0013 ips: 24.2331 images/s [10/15 10:10:52] ppdet.engine INFO: Epoch: [98] [460/523] learning_rate: 0.302025 loss_vfl: 0.912634 loss_bbox: 0.316986 loss_dfl: 0.197544 loss: 1.408528 eta: 2 days, 19:36:37 batch_cost: 2.2810 data_cost: 0.0022 ips: 24.5509 images/s [10/15 10:11:40] ppdet.engine INFO: Epoch: [98] [480/523] learning_rate: 0.301956 loss_vfl: 0.887469 loss_bbox: 0.308475 loss_dfl: 0.195028 loss: 1.400558 eta: 2 days, 19:35:51 batch_cost: 2.3240 data_cost: 0.0012 ips: 24.0965 images/s [10/15 10:12:28] ppdet.engine INFO: Epoch: [98] [500/523] learning_rate: 0.301888 loss_vfl: 0.879458 loss_bbox: 0.315984 loss_dfl: 0.198164 loss: 1.399171 eta: 2 days, 19:35:04 batch_cost: 2.3032 data_cost: 0.0012 ips: 24.3138 images/s [10/15 10:13:10] ppdet.engine INFO: Epoch: [98] [520/523] learning_rate: 0.301819 loss_vfl: 0.892452 loss_bbox: 0.295329 loss_dfl: 0.189598 loss: 1.378356 eta: 2 days, 19:34:04 batch_cost: 1.9835 data_cost: 0.0012 ips: 28.2331 images/s [10/15 10:13:40] ppdet.engine INFO: Epoch: [99] [ 0/523] learning_rate: 0.301808 loss_vfl: 0.888740 loss_bbox: 0.295329 loss_dfl: 0.185191 loss: 1.378356 eta: 2 days, 19:34:35 batch_cost: 2.9247 data_cost: 0.7080 ips: 19.1471 images/s [10/15 10:14:29] ppdet.engine INFO: Epoch: [99] [ 20/523] learning_rate: 0.301739 loss_vfl: 0.876451 loss_bbox: 0.316344 loss_dfl: 0.203749 loss: 1.409334 eta: 2 days, 19:33:50 batch_cost: 2.3370 data_cost: 0.0014 ips: 23.9625 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loss_bbox: 0.312658 loss_dfl: 0.200700 loss: 1.402014 eta: 2 days, 19:26:39 batch_cost: 2.2614 data_cost: 0.0012 ips: 24.7634 images/s [10/15 10:22:28] ppdet.engine INFO: Epoch: [99] [220/523] learning_rate: 0.301049 loss_vfl: 0.872167 loss_bbox: 0.306537 loss_dfl: 0.194290 loss: 1.382821 eta: 2 days, 19:25:52 batch_cost: 2.2965 data_cost: 0.0012 ips: 24.3850 images/s [10/15 10:23:17] ppdet.engine INFO: Epoch: [99] [240/523] learning_rate: 0.300980 loss_vfl: 0.881494 loss_bbox: 0.312429 loss_dfl: 0.195735 loss: 1.394337 eta: 2 days, 19:25:06 batch_cost: 2.3133 data_cost: 0.0012 ips: 24.2076 images/s [10/15 10:24:06] ppdet.engine INFO: Epoch: [99] [260/523] learning_rate: 0.300911 loss_vfl: 0.882499 loss_bbox: 0.296301 loss_dfl: 0.193258 loss: 1.365457 eta: 2 days, 19:24:20 batch_cost: 2.3285 data_cost: 0.0013 ips: 24.0496 images/s [10/15 10:24:54] ppdet.engine INFO: Epoch: [99] [280/523] learning_rate: 0.300842 loss_vfl: 0.873997 loss_bbox: 0.300303 loss_dfl: 0.190160 loss: 1.369033 eta: 2 days, 19:23:34 batch_cost: 2.3026 data_cost: 0.0012 ips: 24.3207 images/s [10/15 10:25:43] ppdet.engine INFO: Epoch: [99] [300/523] learning_rate: 0.300772 loss_vfl: 0.900686 loss_bbox: 0.302879 loss_dfl: 0.192487 loss: 1.371177 eta: 2 days, 19:22:46 batch_cost: 2.2925 data_cost: 0.0013 ips: 24.4274 images/s [10/15 10:26:30] ppdet.engine INFO: Epoch: [99] [320/523] learning_rate: 0.300703 loss_vfl: 0.877178 loss_bbox: 0.309592 loss_dfl: 0.201296 loss: 1.407241 eta: 2 days, 19:21:58 batch_cost: 2.2627 data_cost: 0.0012 ips: 24.7492 images/s [10/15 10:27:18] ppdet.engine INFO: Epoch: [99] [340/523] learning_rate: 0.300634 loss_vfl: 0.878385 loss_bbox: 0.334957 loss_dfl: 0.206302 loss: 1.428332 eta: 2 days, 19:21:11 batch_cost: 2.2883 data_cost: 0.0012 ips: 24.4721 images/s [10/15 10:28:06] ppdet.engine INFO: Epoch: [99] [360/523] learning_rate: 0.300565 loss_vfl: 0.886616 loss_bbox: 0.317227 loss_dfl: 0.193892 loss: 1.380192 eta: 2 days, 19:20:22 batch_cost: 2.2608 data_cost: 0.0012 ips: 24.7695 images/s [10/15 10:28:53] ppdet.engine INFO: Epoch: [99] [380/523] learning_rate: 0.300496 loss_vfl: 0.880080 loss_bbox: 0.306070 loss_dfl: 0.196977 loss: 1.393487 eta: 2 days, 19:19:34 batch_cost: 2.2514 data_cost: 0.0013 ips: 24.8737 images/s [10/15 10:29:42] ppdet.engine INFO: Epoch: [99] [400/523] learning_rate: 0.300426 loss_vfl: 0.898547 loss_bbox: 0.302625 loss_dfl: 0.191481 loss: 1.388022 eta: 2 days, 19:18:46 batch_cost: 2.2911 data_cost: 0.0013 ips: 24.4427 images/s [10/15 10:30:29] ppdet.engine INFO: Epoch: [99] [420/523] learning_rate: 0.300357 loss_vfl: 0.871317 loss_bbox: 0.304413 loss_dfl: 0.188300 loss: 1.372143 eta: 2 days, 19:17:57 batch_cost: 2.2373 data_cost: 0.0013 ips: 25.0299 images/s [10/15 10:31:17] ppdet.engine INFO: Epoch: [99] [440/523] learning_rate: 0.300288 loss_vfl: 0.910472 loss_bbox: 0.292178 loss_dfl: 0.186597 loss: 1.394742 eta: 2 days, 19:17:09 batch_cost: 2.2737 data_cost: 0.0012 ips: 24.6295 images/s [10/15 10:32:07] ppdet.engine INFO: Epoch: [99] [460/523] learning_rate: 0.300218 loss_vfl: 0.887692 loss_bbox: 0.292126 loss_dfl: 0.192312 loss: 1.376080 eta: 2 days, 19:16:26 batch_cost: 2.3932 data_cost: 0.0013 ips: 23.3994 images/s [10/15 10:32:56] ppdet.engine INFO: Epoch: [99] [480/523] learning_rate: 0.300149 loss_vfl: 0.889782 loss_bbox: 0.299379 loss_dfl: 0.192530 loss: 1.387185 eta: 2 days, 19:15:40 batch_cost: 2.3291 data_cost: 0.0013 ips: 24.0440 images/s [10/15 10:33:44] ppdet.engine INFO: Epoch: [99] [500/523] learning_rate: 0.300080 loss_vfl: 0.874571 loss_bbox: 0.292365 loss_dfl: 0.186801 loss: 1.369171 eta: 2 days, 19:14:55 batch_cost: 2.3279 data_cost: 0.0013 ips: 24.0557 images/s [10/15 10:34:27] ppdet.engine INFO: Epoch: [99] [520/523] learning_rate: 0.300010 loss_vfl: 0.904846 loss_bbox: 0.286534 loss_dfl: 0.187623 loss: 1.394152 eta: 2 days, 19:13:57 batch_cost: 2.0230 data_cost: 0.0012 ips: 27.6812 images/s [10/15 10:34:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 10:34:35] ppdet.engine INFO: Eval iter: 0 [10/15 10:35:15] ppdet.engine INFO: Eval iter: 100 [10/15 10:35:34] ppdet.engine INFO: Eval iter: 200 [10/15 10:35:54] ppdet.engine INFO: Eval iter: 300 [10/15 10:36:14] ppdet.engine INFO: Eval iter: 400 [10/15 10:36:33] ppdet.engine INFO: Eval iter: 500 [10/15 10:36:53] ppdet.engine INFO: Eval iter: 600 [10/15 10:37:13] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.99s) creating index... index created! [10/15 10:37:14] 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=100.38s). Accumulating evaluation results... DONE (t=18.61s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.490 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.355 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.130 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.543 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.292 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.223 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 ] = 0.735 [10/15 10:39:20] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.64996264081155 [10/15 10:39:20] ppdet.engine INFO: Best test bbox ap is 0.335. [10/15 10:39:20] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 10:39:22] ppdet.engine INFO: Epoch: [100] [ 0/523] learning_rate: 0.300000 loss_vfl: 0.903043 loss_bbox: 0.286534 loss_dfl: 0.187280 loss: 1.401201 eta: 2 days, 19:13:47 batch_cost: 1.9540 data_cost: 0.0013 ips: 28.6590 images/s [10/15 10:40:13] ppdet.engine INFO: Epoch: [100] [ 20/523] learning_rate: 0.299931 loss_vfl: 0.873969 loss_bbox: 0.298954 loss_dfl: 0.196659 loss: 1.378894 eta: 2 days, 19:13:05 batch_cost: 2.4369 data_cost: 0.0013 ips: 22.9801 images/s [10/15 10:41:04] ppdet.engine INFO: Epoch: [100] [ 40/523] learning_rate: 0.299861 loss_vfl: 0.869960 loss_bbox: 0.305421 loss_dfl: 0.193065 loss: 1.382601 eta: 2 days, 19:12:24 batch_cost: 2.4508 data_cost: 0.0012 ips: 22.8501 images/s [10/15 10:41:54] ppdet.engine INFO: Epoch: [100] [ 60/523] learning_rate: 0.299792 loss_vfl: 0.875980 loss_bbox: 0.289467 loss_dfl: 0.192179 loss: 1.346806 eta: 2 days, 19:11:40 batch_cost: 2.3639 data_cost: 0.0013 ips: 23.6900 images/s [10/15 10:42:42] ppdet.engine INFO: Epoch: [100] [ 80/523] learning_rate: 0.299722 loss_vfl: 0.890378 loss_bbox: 0.283912 loss_dfl: 0.189720 loss: 1.366256 eta: 2 days, 19:10:54 batch_cost: 2.3110 data_cost: 0.0025 ips: 24.2322 images/s [10/15 10:43:31] ppdet.engine INFO: Epoch: [100] [100/523] learning_rate: 0.299653 loss_vfl: 0.873781 loss_bbox: 0.293832 loss_dfl: 0.187848 loss: 1.363421 eta: 2 days, 19:10:09 batch_cost: 2.3557 data_cost: 0.0022 ips: 23.7724 images/s [10/15 10:44:21] ppdet.engine INFO: Epoch: [100] [120/523] learning_rate: 0.299584 loss_vfl: 0.883140 loss_bbox: 0.298435 loss_dfl: 0.202723 loss: 1.410932 eta: 2 days, 19:09:24 batch_cost: 2.3516 data_cost: 0.0019 ips: 23.8134 images/s [10/15 10:45:09] ppdet.engine INFO: Epoch: [100] [140/523] learning_rate: 0.299514 loss_vfl: 0.876052 loss_bbox: 0.287608 loss_dfl: 0.187050 loss: 1.353252 eta: 2 days, 19:08:38 batch_cost: 2.3138 data_cost: 0.0013 ips: 24.2025 images/s [10/15 10:45:58] ppdet.engine INFO: Epoch: [100] [160/523] learning_rate: 0.299445 loss_vfl: 0.879812 loss_bbox: 0.298500 loss_dfl: 0.191344 loss: 1.376034 eta: 2 days, 19:07:53 batch_cost: 2.3510 data_cost: 0.0012 ips: 23.8201 images/s [10/15 10:46:47] ppdet.engine INFO: Epoch: [100] [180/523] learning_rate: 0.299375 loss_vfl: 0.894660 loss_bbox: 0.294835 loss_dfl: 0.194703 loss: 1.377922 eta: 2 days, 19:07:08 batch_cost: 2.3305 data_cost: 0.0012 ips: 24.0287 images/s [10/15 10:47:37] ppdet.engine INFO: Epoch: [100] [200/523] learning_rate: 0.299306 loss_vfl: 0.904175 loss_bbox: 0.309499 loss_dfl: 0.194398 loss: 1.423904 eta: 2 days, 19:06:25 batch_cost: 2.3920 data_cost: 0.0013 ips: 23.4112 images/s [10/15 10:48:26] ppdet.engine INFO: Epoch: [100] [220/523] learning_rate: 0.299236 loss_vfl: 0.888412 loss_bbox: 0.334780 loss_dfl: 0.208606 loss: 1.424077 eta: 2 days, 19:05:40 batch_cost: 2.3484 data_cost: 0.0013 ips: 23.8464 images/s [10/15 10:49:16] ppdet.engine INFO: Epoch: [100] [240/523] learning_rate: 0.299167 loss_vfl: 0.880749 loss_bbox: 0.316364 loss_dfl: 0.199958 loss: 1.392114 eta: 2 days, 19:04:56 batch_cost: 2.3841 data_cost: 0.0038 ips: 23.4892 images/s [10/15 10:50:05] ppdet.engine INFO: Epoch: [100] [260/523] learning_rate: 0.299097 loss_vfl: 0.857368 loss_bbox: 0.309574 loss_dfl: 0.197990 loss: 1.357635 eta: 2 days, 19:04:11 batch_cost: 2.3493 data_cost: 0.0012 ips: 23.8370 images/s [10/15 10:50:53] ppdet.engine INFO: Epoch: [100] [280/523] learning_rate: 0.299027 loss_vfl: 0.865716 loss_bbox: 0.305305 loss_dfl: 0.192045 loss: 1.360453 eta: 2 days, 19:03:24 batch_cost: 2.2827 data_cost: 0.0013 ips: 24.5327 images/s [10/15 10:51:42] ppdet.engine INFO: Epoch: [100] [300/523] learning_rate: 0.298958 loss_vfl: 0.869411 loss_bbox: 0.311854 loss_dfl: 0.203075 loss: 1.404621 eta: 2 days, 19:02:39 batch_cost: 2.3526 data_cost: 0.0012 ips: 23.8038 images/s [10/15 10:52:31] ppdet.engine INFO: Epoch: [100] [320/523] learning_rate: 0.298888 loss_vfl: 0.879365 loss_bbox: 0.285498 loss_dfl: 0.190158 loss: 1.366559 eta: 2 days, 19:01:53 batch_cost: 2.3150 data_cost: 0.0012 ips: 24.1905 images/s [10/15 10:53:20] ppdet.engine INFO: Epoch: [100] [340/523] learning_rate: 0.298819 loss_vfl: 0.885766 loss_bbox: 0.304052 loss_dfl: 0.191585 loss: 1.385492 eta: 2 days, 19:01:09 batch_cost: 2.3753 data_cost: 0.0012 ips: 23.5760 images/s [10/15 10:54:09] ppdet.engine INFO: Epoch: [100] [360/523] learning_rate: 0.298749 loss_vfl: 0.877144 loss_bbox: 0.299989 loss_dfl: 0.193821 loss: 1.375521 eta: 2 days, 19:00:24 batch_cost: 2.3549 data_cost: 0.0012 ips: 23.7803 images/s [10/15 10:54:58] ppdet.engine INFO: Epoch: [100] [380/523] learning_rate: 0.298679 loss_vfl: 0.890821 loss_bbox: 0.310385 loss_dfl: 0.198195 loss: 1.428921 eta: 2 days, 18:59:39 batch_cost: 2.3454 data_cost: 0.0012 ips: 23.8761 images/s [10/15 10:55:47] ppdet.engine INFO: Epoch: [100] [400/523] learning_rate: 0.298610 loss_vfl: 0.882260 loss_bbox: 0.287965 loss_dfl: 0.187437 loss: 1.377516 eta: 2 days, 18:58:53 batch_cost: 2.3298 data_cost: 0.0019 ips: 24.0365 images/s [10/15 10:56:36] ppdet.engine INFO: Epoch: [100] [420/523] learning_rate: 0.298540 loss_vfl: 0.909920 loss_bbox: 0.285445 loss_dfl: 0.188479 loss: 1.351704 eta: 2 days, 18:58:09 batch_cost: 2.3516 data_cost: 0.0023 ips: 23.8133 images/s [10/15 10:57:25] ppdet.engine INFO: Epoch: [100] [440/523] learning_rate: 0.298470 loss_vfl: 0.870040 loss_bbox: 0.278460 loss_dfl: 0.181934 loss: 1.333920 eta: 2 days, 18:57:24 batch_cost: 2.3526 data_cost: 0.0012 ips: 23.8031 images/s [10/15 10:58:13] ppdet.engine INFO: Epoch: [100] [460/523] learning_rate: 0.298400 loss_vfl: 0.886539 loss_bbox: 0.298524 loss_dfl: 0.192742 loss: 1.360387 eta: 2 days, 18:56:37 batch_cost: 2.2912 data_cost: 0.0026 ips: 24.4410 images/s [10/15 10:59:02] ppdet.engine INFO: Epoch: [100] [480/523] learning_rate: 0.298331 loss_vfl: 0.882907 loss_bbox: 0.304949 loss_dfl: 0.189935 loss: 1.391752 eta: 2 days, 18:55:50 batch_cost: 2.3056 data_cost: 0.0020 ips: 24.2883 images/s [10/15 10:59:50] ppdet.engine INFO: Epoch: [100] [500/523] learning_rate: 0.298261 loss_vfl: 0.885968 loss_bbox: 0.290446 loss_dfl: 0.185702 loss: 1.384364 eta: 2 days, 18:55:04 batch_cost: 2.3099 data_cost: 0.0012 ips: 24.2440 images/s [10/15 11:00:33] ppdet.engine INFO: Epoch: [100] [520/523] learning_rate: 0.298191 loss_vfl: 0.876817 loss_bbox: 0.321642 loss_dfl: 0.196063 loss: 1.380718 eta: 2 days, 18:54:07 batch_cost: 2.0545 data_cost: 0.0012 ips: 27.2574 images/s [10/15 11:01:01] ppdet.engine INFO: Epoch: [101] [ 0/523] learning_rate: 0.298181 loss_vfl: 0.883567 loss_bbox: 0.312280 loss_dfl: 0.197402 loss: 1.387508 eta: 2 days, 18:54:33 batch_cost: 2.8837 data_cost: 0.6503 ips: 19.4195 images/s [10/15 11:01:55] ppdet.engine INFO: Epoch: [101] [ 20/523] learning_rate: 0.298111 loss_vfl: 0.873198 loss_bbox: 0.300138 loss_dfl: 0.193963 loss: 1.370605 eta: 2 days, 18:53:59 batch_cost: 2.6231 data_cost: 0.0015 ips: 21.3491 images/s [10/15 11:02:46] ppdet.engine INFO: Epoch: [101] [ 40/523] learning_rate: 0.298041 loss_vfl: 0.863866 loss_bbox: 0.297774 loss_dfl: 0.191829 loss: 1.377192 eta: 2 days, 18:53:18 batch_cost: 2.4377 data_cost: 0.0013 ips: 22.9721 images/s [10/15 11:03:36] ppdet.engine INFO: Epoch: [101] [ 60/523] learning_rate: 0.297971 loss_vfl: 0.884508 loss_bbox: 0.294399 loss_dfl: 0.187411 loss: 1.359495 eta: 2 days, 18:52:34 batch_cost: 2.3836 data_cost: 0.0019 ips: 23.4937 images/s [10/15 11:04:24] ppdet.engine INFO: Epoch: [101] [ 80/523] learning_rate: 0.297902 loss_vfl: 0.898275 loss_bbox: 0.299528 loss_dfl: 0.190767 loss: 1.388816 eta: 2 days, 18:51:49 batch_cost: 2.3321 data_cost: 0.0012 ips: 24.0128 images/s [10/15 11:05:13] ppdet.engine INFO: Epoch: [101] [100/523] learning_rate: 0.297832 loss_vfl: 0.885559 loss_bbox: 0.303237 loss_dfl: 0.199588 loss: 1.380994 eta: 2 days, 18:51:04 batch_cost: 2.3515 data_cost: 0.0013 ips: 23.8151 images/s [10/15 11:06:02] ppdet.engine INFO: Epoch: [101] [120/523] learning_rate: 0.297762 loss_vfl: 0.884138 loss_bbox: 0.313805 loss_dfl: 0.198605 loss: 1.380255 eta: 2 days, 18:50:18 batch_cost: 2.3388 data_cost: 0.0019 ips: 23.9438 images/s [10/15 11:06:51] ppdet.engine INFO: Epoch: [101] [140/523] learning_rate: 0.297692 loss_vfl: 0.876415 loss_bbox: 0.304010 loss_dfl: 0.192452 loss: 1.366888 eta: 2 days, 18:49:33 batch_cost: 2.3500 data_cost: 0.0013 ips: 23.8294 images/s [10/15 11:07:41] ppdet.engine INFO: Epoch: [101] [160/523] learning_rate: 0.297622 loss_vfl: 0.868366 loss_bbox: 0.301506 loss_dfl: 0.190644 loss: 1.373149 eta: 2 days, 18:48:48 batch_cost: 2.3488 data_cost: 0.0022 ips: 23.8418 images/s [10/15 11:08:31] ppdet.engine INFO: Epoch: [101] [180/523] learning_rate: 0.297552 loss_vfl: 0.871135 loss_bbox: 0.293461 loss_dfl: 0.190131 loss: 1.385251 eta: 2 days, 18:48:05 batch_cost: 2.3837 data_cost: 0.0024 ips: 23.4930 images/s [10/15 11:09:20] ppdet.engine INFO: Epoch: [101] [200/523] learning_rate: 0.297482 loss_vfl: 0.880794 loss_bbox: 0.292400 loss_dfl: 0.185693 loss: 1.362424 eta: 2 days, 18:47:21 batch_cost: 2.3868 data_cost: 0.0033 ips: 23.4628 images/s [10/15 11:10:11] ppdet.engine INFO: Epoch: [101] [220/523] learning_rate: 0.297412 loss_vfl: 0.870017 loss_bbox: 0.318735 loss_dfl: 0.201005 loss: 1.389634 eta: 2 days, 18:46:39 batch_cost: 2.4055 data_cost: 0.0028 ips: 23.2799 images/s [10/15 11:10:59] ppdet.engine INFO: Epoch: [101] [240/523] learning_rate: 0.297342 loss_vfl: 0.878998 loss_bbox: 0.308311 loss_dfl: 0.198903 loss: 1.367055 eta: 2 days, 18:45:52 batch_cost: 2.2968 data_cost: 0.0019 ips: 24.3815 images/s [10/15 11:11:48] ppdet.engine INFO: Epoch: [101] [260/523] learning_rate: 0.297272 loss_vfl: 0.881033 loss_bbox: 0.290135 loss_dfl: 0.191912 loss: 1.367216 eta: 2 days, 18:45:07 batch_cost: 2.3612 data_cost: 0.0014 ips: 23.7167 images/s [10/15 11:12:39] ppdet.engine INFO: Epoch: [101] [280/523] learning_rate: 0.297202 loss_vfl: 0.890959 loss_bbox: 0.294280 loss_dfl: 0.187395 loss: 1.365109 eta: 2 days, 18:44:24 batch_cost: 2.4034 data_cost: 0.0013 ips: 23.3001 images/s [10/15 11:13:27] ppdet.engine INFO: Epoch: [101] [300/523] learning_rate: 0.297132 loss_vfl: 0.872970 loss_bbox: 0.305597 loss_dfl: 0.192473 loss: 1.372971 eta: 2 days, 18:43:38 batch_cost: 2.3044 data_cost: 0.0032 ips: 24.3013 images/s [10/15 11:14:16] ppdet.engine INFO: Epoch: [101] [320/523] learning_rate: 0.297062 loss_vfl: 0.877058 loss_bbox: 0.292122 loss_dfl: 0.189362 loss: 1.375755 eta: 2 days, 18:42:53 batch_cost: 2.3432 data_cost: 0.0013 ips: 23.8989 images/s [10/15 11:15:04] ppdet.engine INFO: Epoch: [101] [340/523] learning_rate: 0.296992 loss_vfl: 0.862177 loss_bbox: 0.310696 loss_dfl: 0.197497 loss: 1.384892 eta: 2 days, 18:42:07 batch_cost: 2.3228 data_cost: 0.0012 ips: 24.1084 images/s [10/15 11:15:52] ppdet.engine INFO: Epoch: [101] [360/523] learning_rate: 0.296922 loss_vfl: 0.901481 loss_bbox: 0.307161 loss_dfl: 0.194190 loss: 1.399861 eta: 2 days, 18:41:19 batch_cost: 2.2818 data_cost: 0.0012 ips: 24.5426 images/s [10/15 11:16:41] ppdet.engine INFO: Epoch: [101] [380/523] learning_rate: 0.296852 loss_vfl: 0.887486 loss_bbox: 0.288161 loss_dfl: 0.186030 loss: 1.367046 eta: 2 days, 18:40:35 batch_cost: 2.3630 data_cost: 0.0012 ips: 23.6986 images/s [10/15 11:17:30] ppdet.engine INFO: Epoch: [101] [400/523] learning_rate: 0.296782 loss_vfl: 0.879762 loss_bbox: 0.304517 loss_dfl: 0.192237 loss: 1.373395 eta: 2 days, 18:39:49 batch_cost: 2.3354 data_cost: 0.0037 ips: 23.9787 images/s [10/15 11:18:18] ppdet.engine INFO: Epoch: [101] [420/523] learning_rate: 0.296712 loss_vfl: 0.870582 loss_bbox: 0.304528 loss_dfl: 0.193634 loss: 1.369528 eta: 2 days, 18:39:02 batch_cost: 2.2876 data_cost: 0.0012 ips: 24.4793 images/s [10/15 11:19:07] ppdet.engine INFO: Epoch: [101] [440/523] learning_rate: 0.296642 loss_vfl: 0.903239 loss_bbox: 0.305305 loss_dfl: 0.198184 loss: 1.411737 eta: 2 days, 18:38:16 batch_cost: 2.3401 data_cost: 0.0021 ips: 23.9304 images/s [10/15 11:19:57] ppdet.engine INFO: Epoch: [101] [460/523] learning_rate: 0.296572 loss_vfl: 0.898273 loss_bbox: 0.301650 loss_dfl: 0.191254 loss: 1.416003 eta: 2 days, 18:37:33 batch_cost: 2.3841 data_cost: 0.0013 ips: 23.4890 images/s [10/15 11:20:45] ppdet.engine INFO: Epoch: [101] [480/523] learning_rate: 0.296502 loss_vfl: 0.902509 loss_bbox: 0.309930 loss_dfl: 0.192558 loss: 1.406778 eta: 2 days, 18:36:46 batch_cost: 2.3012 data_cost: 0.0026 ips: 24.3356 images/s [10/15 11:21:33] ppdet.engine INFO: Epoch: [101] [500/523] learning_rate: 0.296431 loss_vfl: 0.879040 loss_bbox: 0.292300 loss_dfl: 0.186370 loss: 1.362126 eta: 2 days, 18:36:00 batch_cost: 2.3113 data_cost: 0.0012 ips: 24.2283 images/s [10/15 11:22:14] ppdet.engine INFO: Epoch: [101] [520/523] learning_rate: 0.296361 loss_vfl: 0.901038 loss_bbox: 0.297347 loss_dfl: 0.191724 loss: 1.382967 eta: 2 days, 18:35:00 batch_cost: 1.9775 data_cost: 0.0012 ips: 28.3189 images/s [10/15 11:22:47] ppdet.engine INFO: Epoch: [102] [ 0/523] learning_rate: 0.296351 loss_vfl: 0.895814 loss_bbox: 0.305310 loss_dfl: 0.196210 loss: 1.401152 eta: 2 days, 18:35:36 batch_cost: 3.0883 data_cost: 0.7864 ips: 18.1332 images/s [10/15 11:23:39] ppdet.engine INFO: Epoch: [102] [ 20/523] learning_rate: 0.296281 loss_vfl: 0.896498 loss_bbox: 0.295542 loss_dfl: 0.196051 loss: 1.392236 eta: 2 days, 18:34:56 batch_cost: 2.4946 data_cost: 0.0017 ips: 22.4486 images/s [10/15 11:24:31] ppdet.engine INFO: Epoch: [102] [ 40/523] learning_rate: 0.296210 loss_vfl: 0.891635 loss_bbox: 0.296014 loss_dfl: 0.191355 loss: 1.367362 eta: 2 days, 18:34:17 batch_cost: 2.4859 data_cost: 0.0026 ips: 22.5267 images/s [10/15 11:25:23] ppdet.engine INFO: Epoch: [102] [ 60/523] learning_rate: 0.296140 loss_vfl: 0.884561 loss_bbox: 0.301352 loss_dfl: 0.188847 loss: 1.375796 eta: 2 days, 18:33:36 batch_cost: 2.4622 data_cost: 0.0016 ips: 22.7440 images/s [10/15 11:26:13] ppdet.engine INFO: Epoch: [102] [ 80/523] learning_rate: 0.296070 loss_vfl: 0.893269 loss_bbox: 0.302413 loss_dfl: 0.194264 loss: 1.376531 eta: 2 days, 18:32:53 batch_cost: 2.3847 data_cost: 0.0015 ips: 23.4828 images/s [10/15 11:27:02] ppdet.engine INFO: Epoch: [102] [100/523] learning_rate: 0.296000 loss_vfl: 0.872170 loss_bbox: 0.296423 loss_dfl: 0.194201 loss: 1.352614 eta: 2 days, 18:32:07 batch_cost: 2.3241 data_cost: 0.0014 ips: 24.0953 images/s [10/15 11:27:50] ppdet.engine INFO: Epoch: [102] [120/523] learning_rate: 0.295929 loss_vfl: 0.876155 loss_bbox: 0.304800 loss_dfl: 0.195801 loss: 1.377592 eta: 2 days, 18:31:20 batch_cost: 2.3086 data_cost: 0.0014 ips: 24.2576 images/s [10/15 11:28:38] ppdet.engine INFO: Epoch: [102] [140/523] learning_rate: 0.295859 loss_vfl: 0.882447 loss_bbox: 0.287287 loss_dfl: 0.191778 loss: 1.358975 eta: 2 days, 18:30:32 batch_cost: 2.2763 data_cost: 0.0013 ips: 24.6016 images/s [10/15 11:29:26] ppdet.engine INFO: Epoch: [102] [160/523] learning_rate: 0.295789 loss_vfl: 0.889788 loss_bbox: 0.288233 loss_dfl: 0.183676 loss: 1.352493 eta: 2 days, 18:29:44 batch_cost: 2.2599 data_cost: 0.0014 ips: 24.7797 images/s [10/15 11:30:13] ppdet.engine INFO: Epoch: [102] [180/523] learning_rate: 0.295718 loss_vfl: 0.860803 loss_bbox: 0.290083 loss_dfl: 0.194330 loss: 1.356782 eta: 2 days, 18:28:55 batch_cost: 2.2476 data_cost: 0.0013 ips: 24.9151 images/s [10/15 11:31:01] ppdet.engine INFO: Epoch: [102] [200/523] learning_rate: 0.295648 loss_vfl: 0.871319 loss_bbox: 0.304622 loss_dfl: 0.196194 loss: 1.375197 eta: 2 days, 18:28:07 batch_cost: 2.2843 data_cost: 0.0014 ips: 24.5147 images/s [10/15 11:31:49] ppdet.engine INFO: Epoch: [102] [220/523] learning_rate: 0.295578 loss_vfl: 0.894713 loss_bbox: 0.323396 loss_dfl: 0.200907 loss: 1.419123 eta: 2 days, 18:27:20 batch_cost: 2.2859 data_cost: 0.0013 ips: 24.4980 images/s [10/15 11:32:37] ppdet.engine INFO: Epoch: [102] [240/523] learning_rate: 0.295507 loss_vfl: 0.888282 loss_bbox: 0.285577 loss_dfl: 0.183493 loss: 1.369291 eta: 2 days, 18:26:33 batch_cost: 2.3060 data_cost: 0.0013 ips: 24.2840 images/s [10/15 11:33:27] ppdet.engine INFO: Epoch: [102] [260/523] learning_rate: 0.295437 loss_vfl: 0.877324 loss_bbox: 0.321660 loss_dfl: 0.202242 loss: 1.406341 eta: 2 days, 18:25:47 batch_cost: 2.3050 data_cost: 0.0014 ips: 24.2948 images/s [10/15 11:34:14] ppdet.engine INFO: Epoch: [102] [280/523] learning_rate: 0.295367 loss_vfl: 0.875131 loss_bbox: 0.313424 loss_dfl: 0.196240 loss: 1.371427 eta: 2 days, 18:24:58 batch_cost: 2.2694 data_cost: 0.0012 ips: 24.6762 images/s [10/15 11:35:03] ppdet.engine INFO: Epoch: [102] [300/523] learning_rate: 0.295296 loss_vfl: 0.879068 loss_bbox: 0.307177 loss_dfl: 0.190489 loss: 1.368592 eta: 2 days, 18:24:12 batch_cost: 2.3191 data_cost: 0.0013 ips: 24.1478 images/s [10/15 11:35:52] ppdet.engine INFO: Epoch: [102] [320/523] learning_rate: 0.295226 loss_vfl: 0.871629 loss_bbox: 0.294911 loss_dfl: 0.189123 loss: 1.362524 eta: 2 days, 18:23:26 batch_cost: 2.3238 data_cost: 0.0015 ips: 24.0989 images/s [10/15 11:36:41] ppdet.engine INFO: Epoch: [102] [340/523] learning_rate: 0.295155 loss_vfl: 0.888736 loss_bbox: 0.302792 loss_dfl: 0.197706 loss: 1.380845 eta: 2 days, 18:22:41 batch_cost: 2.3461 data_cost: 0.0014 ips: 23.8699 images/s [10/15 11:37:31] ppdet.engine INFO: Epoch: [102] [360/523] learning_rate: 0.295085 loss_vfl: 0.886658 loss_bbox: 0.293721 loss_dfl: 0.188467 loss: 1.374510 eta: 2 days, 18:21:56 batch_cost: 2.3485 data_cost: 0.0013 ips: 23.8446 images/s [10/15 11:38:19] ppdet.engine INFO: Epoch: [102] [380/523] learning_rate: 0.295014 loss_vfl: 0.894796 loss_bbox: 0.302670 loss_dfl: 0.194779 loss: 1.396572 eta: 2 days, 18:21:09 batch_cost: 2.2921 data_cost: 0.0012 ips: 24.4319 images/s [10/15 11:39:07] ppdet.engine INFO: Epoch: [102] [400/523] learning_rate: 0.294944 loss_vfl: 0.889207 loss_bbox: 0.295316 loss_dfl: 0.188613 loss: 1.351903 eta: 2 days, 18:20:20 batch_cost: 2.2462 data_cost: 0.0014 ips: 24.9310 images/s [10/15 11:39:54] ppdet.engine INFO: Epoch: [102] [420/523] learning_rate: 0.294873 loss_vfl: 0.900912 loss_bbox: 0.311432 loss_dfl: 0.190965 loss: 1.404535 eta: 2 days, 18:19:29 batch_cost: 2.2012 data_cost: 0.0012 ips: 25.4402 images/s [10/15 11:40:42] ppdet.engine INFO: Epoch: [102] [440/523] learning_rate: 0.294803 loss_vfl: 0.891286 loss_bbox: 0.303388 loss_dfl: 0.199690 loss: 1.396187 eta: 2 days, 18:18:42 batch_cost: 2.2850 data_cost: 0.0013 ips: 24.5079 images/s [10/15 11:41:29] ppdet.engine INFO: Epoch: [102] [460/523] learning_rate: 0.294732 loss_vfl: 0.877152 loss_bbox: 0.298864 loss_dfl: 0.193945 loss: 1.397511 eta: 2 days, 18:17:54 batch_cost: 2.2794 data_cost: 0.0012 ips: 24.5674 images/s [10/15 11:42:17] ppdet.engine INFO: Epoch: [102] [480/523] learning_rate: 0.294662 loss_vfl: 0.892555 loss_bbox: 0.289174 loss_dfl: 0.194429 loss: 1.366940 eta: 2 days, 18:17:07 batch_cost: 2.2906 data_cost: 0.0014 ips: 24.4480 images/s [10/15 11:43:06] ppdet.engine INFO: Epoch: [102] [500/523] learning_rate: 0.294591 loss_vfl: 0.892607 loss_bbox: 0.299465 loss_dfl: 0.196244 loss: 1.378905 eta: 2 days, 18:16:21 batch_cost: 2.3215 data_cost: 0.0014 ips: 24.1220 images/s [10/15 11:43:47] ppdet.engine INFO: Epoch: [102] [520/523] learning_rate: 0.294521 loss_vfl: 0.897179 loss_bbox: 0.282169 loss_dfl: 0.190556 loss: 1.371471 eta: 2 days, 18:15:20 batch_cost: 1.9337 data_cost: 0.0012 ips: 28.9601 images/s [10/15 11:44:14] ppdet.engine INFO: Epoch: [103] [ 0/523] learning_rate: 0.294510 loss_vfl: 0.892110 loss_bbox: 0.285319 loss_dfl: 0.194856 loss: 1.375757 eta: 2 days, 18:15:42 batch_cost: 2.6958 data_cost: 0.2994 ips: 20.7733 images/s [10/15 11:45:07] ppdet.engine INFO: Epoch: [103] [ 20/523] learning_rate: 0.294440 loss_vfl: 0.860443 loss_bbox: 0.289196 loss_dfl: 0.191976 loss: 1.358188 eta: 2 days, 18:15:03 batch_cost: 2.4945 data_cost: 0.0021 ips: 22.4495 images/s [10/15 11:45:55] ppdet.engine INFO: Epoch: [103] [ 40/523] learning_rate: 0.294369 loss_vfl: 0.891098 loss_bbox: 0.290150 loss_dfl: 0.189022 loss: 1.361109 eta: 2 days, 18:14:15 batch_cost: 2.2693 data_cost: 0.0015 ips: 24.6770 images/s [10/15 11:46:44] ppdet.engine INFO: Epoch: [103] [ 60/523] learning_rate: 0.294298 loss_vfl: 0.864907 loss_bbox: 0.306957 loss_dfl: 0.187190 loss: 1.357094 eta: 2 days, 18:13:29 batch_cost: 2.3299 data_cost: 0.0013 ips: 24.0356 images/s [10/15 11:47:31] ppdet.engine INFO: Epoch: [103] [ 80/523] learning_rate: 0.294228 loss_vfl: 0.888085 loss_bbox: 0.294103 loss_dfl: 0.194501 loss: 1.367355 eta: 2 days, 18:12:40 batch_cost: 2.2446 data_cost: 0.0014 ips: 24.9485 images/s [10/15 11:48:20] ppdet.engine INFO: Epoch: [103] [100/523] learning_rate: 0.294157 loss_vfl: 0.859555 loss_bbox: 0.308698 loss_dfl: 0.193495 loss: 1.367361 eta: 2 days, 18:11:54 batch_cost: 2.3227 data_cost: 0.0015 ips: 24.1100 images/s [10/15 11:49:08] ppdet.engine INFO: Epoch: [103] [120/523] learning_rate: 0.294086 loss_vfl: 0.871115 loss_bbox: 0.314076 loss_dfl: 0.197177 loss: 1.365064 eta: 2 days, 18:11:07 batch_cost: 2.3033 data_cost: 0.0013 ips: 24.3128 images/s [10/15 11:49:57] ppdet.engine INFO: Epoch: [103] [140/523] learning_rate: 0.294016 loss_vfl: 0.889557 loss_bbox: 0.307112 loss_dfl: 0.200531 loss: 1.407964 eta: 2 days, 18:10:21 batch_cost: 2.3212 data_cost: 0.0013 ips: 24.1253 images/s [10/15 11:50:45] ppdet.engine INFO: Epoch: [103] [160/523] learning_rate: 0.293945 loss_vfl: 0.881422 loss_bbox: 0.293609 loss_dfl: 0.195572 loss: 1.383568 eta: 2 days, 18:09:34 batch_cost: 2.2782 data_cost: 0.0013 ips: 24.5805 images/s [10/15 11:51:33] ppdet.engine INFO: Epoch: [103] [180/523] learning_rate: 0.293874 loss_vfl: 0.860030 loss_bbox: 0.306370 loss_dfl: 0.196232 loss: 1.358134 eta: 2 days, 18:08:46 batch_cost: 2.2834 data_cost: 0.0013 ips: 24.5247 images/s [10/15 11:52:20] ppdet.engine INFO: Epoch: [103] [200/523] learning_rate: 0.293804 loss_vfl: 0.865277 loss_bbox: 0.311633 loss_dfl: 0.202373 loss: 1.390271 eta: 2 days, 18:07:57 batch_cost: 2.2430 data_cost: 0.0012 ips: 24.9662 images/s [10/15 11:53:07] ppdet.engine INFO: Epoch: [103] [220/523] learning_rate: 0.293733 loss_vfl: 0.867275 loss_bbox: 0.307517 loss_dfl: 0.197288 loss: 1.374203 eta: 2 days, 18:07:07 batch_cost: 2.2157 data_cost: 0.0012 ips: 25.2740 images/s [10/15 11:53:55] ppdet.engine INFO: Epoch: [103] [240/523] learning_rate: 0.293662 loss_vfl: 0.875960 loss_bbox: 0.284071 loss_dfl: 0.189176 loss: 1.351873 eta: 2 days, 18:06:18 batch_cost: 2.2533 data_cost: 0.0013 ips: 24.8521 images/s [10/15 11:54:42] ppdet.engine INFO: Epoch: [103] [260/523] learning_rate: 0.293591 loss_vfl: 0.873153 loss_bbox: 0.314380 loss_dfl: 0.196652 loss: 1.391507 eta: 2 days, 18:05:29 batch_cost: 2.2488 data_cost: 0.0014 ips: 24.9025 images/s [10/15 11:55:30] ppdet.engine INFO: Epoch: [103] [280/523] learning_rate: 0.293520 loss_vfl: 0.867605 loss_bbox: 0.313010 loss_dfl: 0.193542 loss: 1.369495 eta: 2 days, 18:04:41 batch_cost: 2.2693 data_cost: 0.0013 ips: 24.6770 images/s [10/15 11:56:17] ppdet.engine INFO: Epoch: [103] [300/523] learning_rate: 0.293450 loss_vfl: 0.881478 loss_bbox: 0.290899 loss_dfl: 0.193101 loss: 1.377027 eta: 2 days, 18:03:53 batch_cost: 2.2524 data_cost: 0.0012 ips: 24.8626 images/s [10/15 11:57:04] ppdet.engine INFO: Epoch: [103] [320/523] learning_rate: 0.293379 loss_vfl: 0.887845 loss_bbox: 0.281836 loss_dfl: 0.186813 loss: 1.373003 eta: 2 days, 18:03:03 batch_cost: 2.2317 data_cost: 0.0012 ips: 25.0929 images/s [10/15 11:57:52] ppdet.engine INFO: Epoch: [103] [340/523] learning_rate: 0.293308 loss_vfl: 0.876350 loss_bbox: 0.320440 loss_dfl: 0.195803 loss: 1.401906 eta: 2 days, 18:02:16 batch_cost: 2.2803 data_cost: 0.0012 ips: 24.5585 images/s [10/15 11:58:43] ppdet.engine INFO: Epoch: [103] [360/523] learning_rate: 0.293237 loss_vfl: 0.899426 loss_bbox: 0.303987 loss_dfl: 0.193516 loss: 1.397569 eta: 2 days, 18:01:33 batch_cost: 2.4130 data_cost: 0.0019 ips: 23.2079 images/s [10/15 11:59:31] ppdet.engine INFO: Epoch: [103] [380/523] learning_rate: 0.293166 loss_vfl: 0.878993 loss_bbox: 0.308615 loss_dfl: 0.198983 loss: 1.402436 eta: 2 days, 18:00:47 batch_cost: 2.3123 data_cost: 0.0012 ips: 24.2182 images/s [10/15 12:00:20] ppdet.engine INFO: Epoch: [103] [400/523] learning_rate: 0.293095 loss_vfl: 0.878416 loss_bbox: 0.306424 loss_dfl: 0.192692 loss: 1.378308 eta: 2 days, 18:00:01 batch_cost: 2.3379 data_cost: 0.0013 ips: 23.9533 images/s [10/15 12:01:08] ppdet.engine INFO: Epoch: [103] [420/523] learning_rate: 0.293025 loss_vfl: 0.884613 loss_bbox: 0.308278 loss_dfl: 0.203448 loss: 1.407394 eta: 2 days, 17:59:13 batch_cost: 2.2536 data_cost: 0.0013 ips: 24.8495 images/s [10/15 12:01:55] ppdet.engine INFO: Epoch: [103] [440/523] learning_rate: 0.292954 loss_vfl: 0.874459 loss_bbox: 0.302580 loss_dfl: 0.200353 loss: 1.375637 eta: 2 days, 17:58:24 batch_cost: 2.2449 data_cost: 0.0012 ips: 24.9459 images/s [10/15 12:02:44] ppdet.engine INFO: Epoch: [103] [460/523] learning_rate: 0.292883 loss_vfl: 0.865905 loss_bbox: 0.295276 loss_dfl: 0.193902 loss: 1.364674 eta: 2 days, 17:57:37 batch_cost: 2.3207 data_cost: 0.0012 ips: 24.1310 images/s [10/15 12:03:32] ppdet.engine INFO: Epoch: [103] [480/523] learning_rate: 0.292812 loss_vfl: 0.881180 loss_bbox: 0.323312 loss_dfl: 0.201825 loss: 1.410569 eta: 2 days, 17:56:48 batch_cost: 2.2412 data_cost: 0.0012 ips: 24.9865 images/s [10/15 12:04:20] ppdet.engine INFO: Epoch: [103] [500/523] learning_rate: 0.292741 loss_vfl: 0.866885 loss_bbox: 0.301746 loss_dfl: 0.200055 loss: 1.375773 eta: 2 days, 17:56:01 batch_cost: 2.2771 data_cost: 0.0012 ips: 24.5924 images/s [10/15 12:05:03] ppdet.engine INFO: Epoch: [103] [520/523] learning_rate: 0.292670 loss_vfl: 0.888480 loss_bbox: 0.321184 loss_dfl: 0.201844 loss: 1.415271 eta: 2 days, 17:55:03 batch_cost: 2.0213 data_cost: 0.0012 ips: 27.7050 images/s [10/15 12:05:31] ppdet.engine INFO: Epoch: [104] [ 0/523] learning_rate: 0.292659 loss_vfl: 0.893900 loss_bbox: 0.321184 loss_dfl: 0.198752 loss: 1.406490 eta: 2 days, 17:55:29 batch_cost: 2.9190 data_cost: 0.5561 ips: 19.1847 images/s [10/15 12:06:21] ppdet.engine INFO: Epoch: [104] [ 20/523] learning_rate: 0.292588 loss_vfl: 0.875227 loss_bbox: 0.317311 loss_dfl: 0.197512 loss: 1.388378 eta: 2 days, 17:54:47 batch_cost: 2.4260 data_cost: 0.0013 ips: 23.0828 images/s [10/15 12:07:10] ppdet.engine INFO: Epoch: [104] [ 40/523] learning_rate: 0.292517 loss_vfl: 0.866582 loss_bbox: 0.306723 loss_dfl: 0.196381 loss: 1.396259 eta: 2 days, 17:54:00 batch_cost: 2.2893 data_cost: 0.0012 ips: 24.4621 images/s [10/15 12:07:58] ppdet.engine INFO: Epoch: [104] [ 60/523] learning_rate: 0.292446 loss_vfl: 0.868613 loss_bbox: 0.279016 loss_dfl: 0.190267 loss: 1.344365 eta: 2 days, 17:53:14 batch_cost: 2.3344 data_cost: 0.0014 ips: 23.9893 images/s [10/15 12:08:46] ppdet.engine INFO: Epoch: [104] [ 80/523] learning_rate: 0.292375 loss_vfl: 0.894655 loss_bbox: 0.282723 loss_dfl: 0.184521 loss: 1.356244 eta: 2 days, 17:52:25 batch_cost: 2.2479 data_cost: 0.0013 ips: 24.9123 images/s [10/15 12:09:34] ppdet.engine INFO: Epoch: [104] [100/523] learning_rate: 0.292304 loss_vfl: 0.872550 loss_bbox: 0.304782 loss_dfl: 0.193137 loss: 1.363876 eta: 2 days, 17:51:38 batch_cost: 2.2942 data_cost: 0.0012 ips: 24.4091 images/s [10/15 12:10:24] ppdet.engine INFO: Epoch: [104] [120/523] learning_rate: 0.292233 loss_vfl: 0.887604 loss_bbox: 0.303556 loss_dfl: 0.195037 loss: 1.385864 eta: 2 days, 17:50:53 batch_cost: 2.3499 data_cost: 0.0012 ips: 23.8303 images/s [10/15 12:11:13] ppdet.engine INFO: Epoch: [104] [140/523] learning_rate: 0.292162 loss_vfl: 0.882467 loss_bbox: 0.310307 loss_dfl: 0.200370 loss: 1.403497 eta: 2 days, 17:50:07 batch_cost: 2.3262 data_cost: 0.0013 ips: 24.0739 images/s [10/15 12:12:01] ppdet.engine INFO: Epoch: [104] [160/523] learning_rate: 0.292091 loss_vfl: 0.862804 loss_bbox: 0.328808 loss_dfl: 0.205581 loss: 1.382309 eta: 2 days, 17:49:19 batch_cost: 2.2788 data_cost: 0.0012 ips: 24.5742 images/s [10/15 12:12:49] ppdet.engine INFO: Epoch: [104] [180/523] learning_rate: 0.292020 loss_vfl: 0.880776 loss_bbox: 0.299762 loss_dfl: 0.190200 loss: 1.367800 eta: 2 days, 17:48:33 batch_cost: 2.3123 data_cost: 0.0013 ips: 24.2181 images/s [10/15 12:13:38] ppdet.engine INFO: Epoch: [104] [200/523] learning_rate: 0.291949 loss_vfl: 0.882967 loss_bbox: 0.307039 loss_dfl: 0.198300 loss: 1.378366 eta: 2 days, 17:47:47 batch_cost: 2.3329 data_cost: 0.0012 ips: 24.0047 images/s [10/15 12:14:26] ppdet.engine INFO: Epoch: [104] [220/523] learning_rate: 0.291878 loss_vfl: 0.882404 loss_bbox: 0.304282 loss_dfl: 0.192225 loss: 1.398848 eta: 2 days, 17:46:59 batch_cost: 2.2641 data_cost: 0.0012 ips: 24.7340 images/s [10/15 12:15:13] ppdet.engine INFO: Epoch: [104] [240/523] learning_rate: 0.291806 loss_vfl: 0.891493 loss_bbox: 0.279938 loss_dfl: 0.180978 loss: 1.353947 eta: 2 days, 17:46:12 batch_cost: 2.2840 data_cost: 0.0012 ips: 24.5186 images/s [10/15 12:16:01] ppdet.engine INFO: Epoch: [104] [260/523] learning_rate: 0.291735 loss_vfl: 0.880370 loss_bbox: 0.307289 loss_dfl: 0.193007 loss: 1.372016 eta: 2 days, 17:45:24 batch_cost: 2.2724 data_cost: 0.0012 ips: 24.6440 images/s [10/15 12:16:51] ppdet.engine INFO: Epoch: [104] [280/523] learning_rate: 0.291664 loss_vfl: 0.877260 loss_bbox: 0.301837 loss_dfl: 0.196284 loss: 1.376772 eta: 2 days, 17:44:40 batch_cost: 2.3781 data_cost: 0.0012 ips: 23.5478 images/s [10/15 12:17:40] ppdet.engine INFO: Epoch: [104] [300/523] learning_rate: 0.291593 loss_vfl: 0.887421 loss_bbox: 0.311653 loss_dfl: 0.203722 loss: 1.402323 eta: 2 days, 17:43:54 batch_cost: 2.3380 data_cost: 0.0013 ips: 23.9523 images/s [10/15 12:18:28] ppdet.engine INFO: Epoch: [104] [320/523] learning_rate: 0.291522 loss_vfl: 0.863095 loss_bbox: 0.302268 loss_dfl: 0.200144 loss: 1.380258 eta: 2 days, 17:43:08 batch_cost: 2.3123 data_cost: 0.0013 ips: 24.2185 images/s [10/15 12:19:18] ppdet.engine INFO: Epoch: [104] [340/523] learning_rate: 0.291450 loss_vfl: 0.880803 loss_bbox: 0.288274 loss_dfl: 0.192411 loss: 1.382722 eta: 2 days, 17:42:23 batch_cost: 2.3592 data_cost: 0.0012 ips: 23.7370 images/s [10/15 12:20:06] ppdet.engine INFO: Epoch: [104] [360/523] learning_rate: 0.291379 loss_vfl: 0.885526 loss_bbox: 0.300869 loss_dfl: 0.189509 loss: 1.393896 eta: 2 days, 17:41:37 batch_cost: 2.3066 data_cost: 0.0012 ips: 24.2777 images/s [10/15 12:20:56] ppdet.engine INFO: Epoch: [104] [380/523] learning_rate: 0.291308 loss_vfl: 0.900817 loss_bbox: 0.290872 loss_dfl: 0.192456 loss: 1.393847 eta: 2 days, 17:40:53 batch_cost: 2.3866 data_cost: 0.0012 ips: 23.4648 images/s [10/15 12:21:44] ppdet.engine INFO: Epoch: [104] [400/523] learning_rate: 0.291237 loss_vfl: 0.882950 loss_bbox: 0.291330 loss_dfl: 0.195841 loss: 1.370522 eta: 2 days, 17:40:06 batch_cost: 2.2965 data_cost: 0.0012 ips: 24.3846 images/s [10/15 12:22:33] ppdet.engine INFO: Epoch: [104] [420/523] learning_rate: 0.291165 loss_vfl: 0.884852 loss_bbox: 0.309506 loss_dfl: 0.195707 loss: 1.391390 eta: 2 days, 17:39:21 batch_cost: 2.3491 data_cost: 0.0013 ips: 23.8389 images/s [10/15 12:23:22] ppdet.engine INFO: Epoch: [104] [440/523] learning_rate: 0.291094 loss_vfl: 0.890499 loss_bbox: 0.329815 loss_dfl: 0.204242 loss: 1.411186 eta: 2 days, 17:38:36 batch_cost: 2.3425 data_cost: 0.0013 ips: 23.9059 images/s [10/15 12:24:10] ppdet.engine INFO: Epoch: [104] [460/523] learning_rate: 0.291023 loss_vfl: 0.890377 loss_bbox: 0.302102 loss_dfl: 0.197157 loss: 1.400905 eta: 2 days, 17:37:49 batch_cost: 2.2976 data_cost: 0.0013 ips: 24.3733 images/s [10/15 12:24:59] ppdet.engine INFO: Epoch: [104] [480/523] learning_rate: 0.290951 loss_vfl: 0.887828 loss_bbox: 0.297616 loss_dfl: 0.196677 loss: 1.355800 eta: 2 days, 17:37:03 batch_cost: 2.3312 data_cost: 0.0013 ips: 24.0219 images/s [10/15 12:25:49] ppdet.engine INFO: Epoch: [104] [500/523] learning_rate: 0.290880 loss_vfl: 0.896354 loss_bbox: 0.302763 loss_dfl: 0.197774 loss: 1.388294 eta: 2 days, 17:36:19 batch_cost: 2.3750 data_cost: 0.0013 ips: 23.5794 images/s [10/15 12:26:31] ppdet.engine INFO: Epoch: [104] [520/523] learning_rate: 0.290809 loss_vfl: 0.875323 loss_bbox: 0.304625 loss_dfl: 0.188308 loss: 1.365481 eta: 2 days, 17:35:21 batch_cost: 2.0124 data_cost: 0.0012 ips: 27.8278 images/s [10/15 12:27:02] ppdet.engine INFO: Epoch: [105] [ 0/523] learning_rate: 0.290798 loss_vfl: 0.858946 loss_bbox: 0.304625 loss_dfl: 0.188308 loss: 1.365481 eta: 2 days, 17:35:52 batch_cost: 3.0482 data_cost: 0.6200 ips: 18.3714 images/s [10/15 12:27:52] ppdet.engine INFO: Epoch: [105] [ 20/523] learning_rate: 0.290727 loss_vfl: 0.872425 loss_bbox: 0.301900 loss_dfl: 0.192503 loss: 1.367729 eta: 2 days, 17:35:07 batch_cost: 2.3368 data_cost: 0.0012 ips: 23.9649 images/s [10/15 12:28:41] ppdet.engine INFO: Epoch: [105] [ 40/523] learning_rate: 0.290655 loss_vfl: 0.874542 loss_bbox: 0.311578 loss_dfl: 0.200188 loss: 1.389016 eta: 2 days, 17:34:22 batch_cost: 2.3701 data_cost: 0.0018 ips: 23.6272 images/s [10/15 12:29:30] ppdet.engine INFO: Epoch: [105] [ 60/523] learning_rate: 0.290584 loss_vfl: 0.855867 loss_bbox: 0.295748 loss_dfl: 0.185762 loss: 1.356524 eta: 2 days, 17:33:37 batch_cost: 2.3466 data_cost: 0.0013 ips: 23.8647 images/s [10/15 12:30:19] ppdet.engine INFO: Epoch: [105] [ 80/523] learning_rate: 0.290513 loss_vfl: 0.874652 loss_bbox: 0.302151 loss_dfl: 0.194620 loss: 1.362490 eta: 2 days, 17:32:51 batch_cost: 2.3266 data_cost: 0.0012 ips: 24.0695 images/s [10/15 12:31:07] ppdet.engine INFO: Epoch: [105] [100/523] learning_rate: 0.290441 loss_vfl: 0.889093 loss_bbox: 0.308421 loss_dfl: 0.203569 loss: 1.388800 eta: 2 days, 17:32:04 batch_cost: 2.2941 data_cost: 0.0014 ips: 24.4108 images/s [10/15 12:31:55] ppdet.engine INFO: Epoch: [105] [120/523] learning_rate: 0.290370 loss_vfl: 0.885884 loss_bbox: 0.285261 loss_dfl: 0.184550 loss: 1.353655 eta: 2 days, 17:31:17 batch_cost: 2.2810 data_cost: 0.0013 ips: 24.5506 images/s [10/15 12:32:44] ppdet.engine INFO: Epoch: [105] [140/523] learning_rate: 0.290298 loss_vfl: 0.866310 loss_bbox: 0.288886 loss_dfl: 0.182607 loss: 1.321665 eta: 2 days, 17:30:30 batch_cost: 2.3010 data_cost: 0.0013 ips: 24.3369 images/s [10/15 12:33:35] ppdet.engine INFO: Epoch: [105] [160/523] learning_rate: 0.290227 loss_vfl: 0.892786 loss_bbox: 0.290246 loss_dfl: 0.194751 loss: 1.375950 eta: 2 days, 17:29:49 batch_cost: 2.4504 data_cost: 0.0013 ips: 22.8531 images/s [10/15 12:34:24] ppdet.engine INFO: Epoch: [105] [180/523] learning_rate: 0.290155 loss_vfl: 0.872351 loss_bbox: 0.306288 loss_dfl: 0.200670 loss: 1.381753 eta: 2 days, 17:29:02 batch_cost: 2.3088 data_cost: 0.0014 ips: 24.2545 images/s [10/15 12:35:13] ppdet.engine INFO: Epoch: [105] [200/523] learning_rate: 0.290084 loss_vfl: 0.881582 loss_bbox: 0.301297 loss_dfl: 0.191754 loss: 1.376171 eta: 2 days, 17:28:17 batch_cost: 2.3477 data_cost: 0.0013 ips: 23.8528 images/s [10/15 12:36:01] ppdet.engine INFO: Epoch: [105] [220/523] learning_rate: 0.290012 loss_vfl: 0.886496 loss_bbox: 0.305428 loss_dfl: 0.192501 loss: 1.363000 eta: 2 days, 17:27:29 batch_cost: 2.2732 data_cost: 0.0015 ips: 24.6347 images/s [10/15 12:36:49] ppdet.engine INFO: Epoch: [105] [240/523] learning_rate: 0.289941 loss_vfl: 0.868549 loss_bbox: 0.329532 loss_dfl: 0.210345 loss: 1.393277 eta: 2 days, 17:26:42 batch_cost: 2.3047 data_cost: 0.0013 ips: 24.2984 images/s [10/15 12:37:40] ppdet.engine INFO: Epoch: [105] [260/523] learning_rate: 0.289869 loss_vfl: 0.879219 loss_bbox: 0.295028 loss_dfl: 0.193278 loss: 1.356641 eta: 2 days, 17:26:00 batch_cost: 2.4300 data_cost: 0.0013 ips: 23.0453 images/s [10/15 12:38:30] ppdet.engine INFO: Epoch: [105] [280/523] learning_rate: 0.289798 loss_vfl: 0.895462 loss_bbox: 0.303133 loss_dfl: 0.193273 loss: 1.384583 eta: 2 days, 17:25:16 batch_cost: 2.3759 data_cost: 0.0012 ips: 23.5699 images/s [10/15 12:39:19] ppdet.engine INFO: Epoch: [105] [300/523] learning_rate: 0.289726 loss_vfl: 0.872814 loss_bbox: 0.305978 loss_dfl: 0.199886 loss: 1.401453 eta: 2 days, 17:24:30 batch_cost: 2.3158 data_cost: 0.0012 ips: 24.1819 images/s [10/15 12:40:07] ppdet.engine INFO: Epoch: [105] [320/523] learning_rate: 0.289654 loss_vfl: 0.908716 loss_bbox: 0.304559 loss_dfl: 0.191066 loss: 1.401626 eta: 2 days, 17:23:42 batch_cost: 2.2876 data_cost: 0.0015 ips: 24.4798 images/s [10/15 12:40:56] ppdet.engine INFO: Epoch: [105] [340/523] learning_rate: 0.289583 loss_vfl: 0.892345 loss_bbox: 0.297227 loss_dfl: 0.191261 loss: 1.385465 eta: 2 days, 17:22:57 batch_cost: 2.3425 data_cost: 0.0012 ips: 23.9065 images/s [10/15 12:41:46] ppdet.engine INFO: Epoch: [105] [360/523] learning_rate: 0.289511 loss_vfl: 0.871784 loss_bbox: 0.292562 loss_dfl: 0.192267 loss: 1.353667 eta: 2 days, 17:22:13 batch_cost: 2.3849 data_cost: 0.0013 ips: 23.4809 images/s [10/15 12:42:34] ppdet.engine INFO: Epoch: [105] [380/523] learning_rate: 0.289440 loss_vfl: 0.878661 loss_bbox: 0.309990 loss_dfl: 0.195015 loss: 1.387509 eta: 2 days, 17:21:27 batch_cost: 2.3228 data_cost: 0.0012 ips: 24.1089 images/s [10/15 12:43:23] ppdet.engine INFO: Epoch: [105] [400/523] learning_rate: 0.289368 loss_vfl: 0.896358 loss_bbox: 0.293038 loss_dfl: 0.189857 loss: 1.360518 eta: 2 days, 17:20:42 batch_cost: 2.3434 data_cost: 0.0013 ips: 23.8968 images/s [10/15 12:44:13] ppdet.engine INFO: Epoch: [105] [420/523] learning_rate: 0.289296 loss_vfl: 0.898003 loss_bbox: 0.294516 loss_dfl: 0.191069 loss: 1.399913 eta: 2 days, 17:19:57 batch_cost: 2.3604 data_cost: 0.0012 ips: 23.7248 images/s [10/15 12:45:01] ppdet.engine INFO: Epoch: [105] [440/523] learning_rate: 0.289225 loss_vfl: 0.871106 loss_bbox: 0.300321 loss_dfl: 0.199747 loss: 1.374092 eta: 2 days, 17:19:10 batch_cost: 2.2873 data_cost: 0.0013 ips: 24.4830 images/s [10/15 12:45:49] ppdet.engine INFO: Epoch: [105] [460/523] learning_rate: 0.289153 loss_vfl: 0.891676 loss_bbox: 0.307129 loss_dfl: 0.196252 loss: 1.394985 eta: 2 days, 17:18:23 batch_cost: 2.2931 data_cost: 0.0013 ips: 24.4213 images/s [10/15 12:46:38] ppdet.engine INFO: Epoch: [105] [480/523] learning_rate: 0.289081 loss_vfl: 0.858554 loss_bbox: 0.288742 loss_dfl: 0.186204 loss: 1.356868 eta: 2 days, 17:17:36 batch_cost: 2.3152 data_cost: 0.0024 ips: 24.1879 images/s [10/15 12:47:27] ppdet.engine INFO: Epoch: [105] [500/523] learning_rate: 0.289010 loss_vfl: 0.895768 loss_bbox: 0.282300 loss_dfl: 0.183850 loss: 1.364322 eta: 2 days, 17:16:50 batch_cost: 2.3197 data_cost: 0.0013 ips: 24.1407 images/s [10/15 12:48:10] ppdet.engine INFO: Epoch: [105] [520/523] learning_rate: 0.288938 loss_vfl: 0.894776 loss_bbox: 0.298818 loss_dfl: 0.187243 loss: 1.386517 eta: 2 days, 17:15:54 batch_cost: 2.0320 data_cost: 0.0014 ips: 27.5596 images/s [10/15 12:48:37] ppdet.engine INFO: Epoch: [106] [ 0/523] learning_rate: 0.288927 loss_vfl: 0.890192 loss_bbox: 0.300688 loss_dfl: 0.191275 loss: 1.376052 eta: 2 days, 17:16:16 batch_cost: 2.8265 data_cost: 0.3489 ips: 19.8126 images/s [10/15 12:49:29] ppdet.engine INFO: Epoch: [106] [ 20/523] learning_rate: 0.288855 loss_vfl: 0.874738 loss_bbox: 0.306388 loss_dfl: 0.192471 loss: 1.364090 eta: 2 days, 17:15:37 batch_cost: 2.5080 data_cost: 0.0013 ips: 22.3285 images/s [10/15 12:50:19] ppdet.engine INFO: Epoch: [106] [ 40/523] learning_rate: 0.288784 loss_vfl: 0.870987 loss_bbox: 0.300196 loss_dfl: 0.195773 loss: 1.356209 eta: 2 days, 17:14:53 batch_cost: 2.3856 data_cost: 0.0012 ips: 23.4743 images/s [10/15 12:51:08] ppdet.engine INFO: Epoch: [106] [ 60/523] learning_rate: 0.288712 loss_vfl: 0.872842 loss_bbox: 0.291240 loss_dfl: 0.196956 loss: 1.380775 eta: 2 days, 17:14:08 batch_cost: 2.3515 data_cost: 0.0012 ips: 23.8144 images/s [10/15 12:51:59] ppdet.engine INFO: Epoch: [106] [ 80/523] learning_rate: 0.288640 loss_vfl: 0.883910 loss_bbox: 0.301767 loss_dfl: 0.195157 loss: 1.362231 eta: 2 days, 17:13:25 batch_cost: 2.4069 data_cost: 0.0013 ips: 23.2669 images/s [10/15 12:52:48] ppdet.engine INFO: Epoch: [106] [100/523] learning_rate: 0.288568 loss_vfl: 0.878857 loss_bbox: 0.297959 loss_dfl: 0.189436 loss: 1.386917 eta: 2 days, 17:12:39 batch_cost: 2.3413 data_cost: 0.0012 ips: 23.9188 images/s [10/15 12:53:35] ppdet.engine INFO: Epoch: [106] [120/523] learning_rate: 0.288496 loss_vfl: 0.883007 loss_bbox: 0.303718 loss_dfl: 0.197942 loss: 1.377942 eta: 2 days, 17:11:51 batch_cost: 2.2583 data_cost: 0.0012 ips: 24.7979 images/s [10/15 12:54:23] ppdet.engine INFO: Epoch: [106] [140/523] learning_rate: 0.288425 loss_vfl: 0.866557 loss_bbox: 0.326865 loss_dfl: 0.204928 loss: 1.401446 eta: 2 days, 17:11:05 batch_cost: 2.3167 data_cost: 0.0012 ips: 24.1728 images/s [10/15 12:55:13] ppdet.engine INFO: Epoch: [106] [160/523] learning_rate: 0.288353 loss_vfl: 0.905799 loss_bbox: 0.298656 loss_dfl: 0.195234 loss: 1.411361 eta: 2 days, 17:10:21 batch_cost: 2.3907 data_cost: 0.0013 ips: 23.4245 images/s [10/15 12:56:02] ppdet.engine INFO: Epoch: [106] [180/523] learning_rate: 0.288281 loss_vfl: 0.884191 loss_bbox: 0.288440 loss_dfl: 0.187173 loss: 1.385149 eta: 2 days, 17:09:35 batch_cost: 2.3152 data_cost: 0.0012 ips: 24.1881 images/s [10/15 12:56:49] ppdet.engine INFO: Epoch: [106] [200/523] learning_rate: 0.288209 loss_vfl: 0.890386 loss_bbox: 0.293511 loss_dfl: 0.185805 loss: 1.357156 eta: 2 days, 17:08:46 batch_cost: 2.2610 data_cost: 0.0012 ips: 24.7679 images/s [10/15 12:57:37] ppdet.engine INFO: Epoch: [106] [220/523] learning_rate: 0.288137 loss_vfl: 0.882847 loss_bbox: 0.300807 loss_dfl: 0.194592 loss: 1.373183 eta: 2 days, 17:07:59 batch_cost: 2.2757 data_cost: 0.0012 ips: 24.6073 images/s [10/15 12:58:25] ppdet.engine INFO: Epoch: [106] [240/523] learning_rate: 0.288065 loss_vfl: 0.884092 loss_bbox: 0.284695 loss_dfl: 0.184394 loss: 1.348612 eta: 2 days, 17:07:12 batch_cost: 2.2978 data_cost: 0.0012 ips: 24.3708 images/s [10/15 12:59:13] ppdet.engine INFO: Epoch: [106] [260/523] learning_rate: 0.287993 loss_vfl: 0.877310 loss_bbox: 0.279757 loss_dfl: 0.187165 loss: 1.353031 eta: 2 days, 17:06:26 batch_cost: 2.3320 data_cost: 0.0013 ips: 24.0134 images/s [10/15 13:00:01] ppdet.engine INFO: Epoch: [106] [280/523] learning_rate: 0.287921 loss_vfl: 0.847005 loss_bbox: 0.303028 loss_dfl: 0.195701 loss: 1.350913 eta: 2 days, 17:05:38 batch_cost: 2.2804 data_cost: 0.0012 ips: 24.5568 images/s [10/15 13:00:50] ppdet.engine INFO: Epoch: [106] [300/523] learning_rate: 0.287849 loss_vfl: 0.888883 loss_bbox: 0.290484 loss_dfl: 0.188331 loss: 1.367956 eta: 2 days, 17:04:52 batch_cost: 2.3297 data_cost: 0.0013 ips: 24.0374 images/s [10/15 13:01:39] ppdet.engine INFO: Epoch: [106] [320/523] learning_rate: 0.287777 loss_vfl: 0.896294 loss_bbox: 0.306593 loss_dfl: 0.197077 loss: 1.401068 eta: 2 days, 17:04:06 batch_cost: 2.3248 data_cost: 0.0012 ips: 24.0876 images/s [10/15 13:02:26] ppdet.engine INFO: Epoch: [106] [340/523] learning_rate: 0.287705 loss_vfl: 0.886585 loss_bbox: 0.280017 loss_dfl: 0.186691 loss: 1.352615 eta: 2 days, 17:03:19 batch_cost: 2.2815 data_cost: 0.0013 ips: 24.5453 images/s [10/15 13:03:15] ppdet.engine INFO: Epoch: [106] [360/523] learning_rate: 0.287633 loss_vfl: 0.884808 loss_bbox: 0.310068 loss_dfl: 0.198155 loss: 1.384924 eta: 2 days, 17:02:32 batch_cost: 2.3045 data_cost: 0.0012 ips: 24.2998 images/s [10/15 13:04:04] ppdet.engine INFO: Epoch: [106] [380/523] learning_rate: 0.287561 loss_vfl: 0.879482 loss_bbox: 0.310464 loss_dfl: 0.194004 loss: 1.390116 eta: 2 days, 17:01:46 batch_cost: 2.3138 data_cost: 0.0012 ips: 24.2025 images/s [10/15 13:04:53] ppdet.engine INFO: Epoch: [106] [400/523] learning_rate: 0.287489 loss_vfl: 0.892173 loss_bbox: 0.277645 loss_dfl: 0.183008 loss: 1.353051 eta: 2 days, 17:00:59 batch_cost: 2.3170 data_cost: 0.0013 ips: 24.1687 images/s [10/15 13:05:41] ppdet.engine INFO: Epoch: [106] [420/523] learning_rate: 0.287417 loss_vfl: 0.867043 loss_bbox: 0.311914 loss_dfl: 0.201221 loss: 1.381763 eta: 2 days, 17:00:12 batch_cost: 2.2790 data_cost: 0.0012 ips: 24.5724 images/s [10/15 13:06:28] ppdet.engine INFO: Epoch: [106] [440/523] learning_rate: 0.287345 loss_vfl: 0.867765 loss_bbox: 0.288328 loss_dfl: 0.190151 loss: 1.339051 eta: 2 days, 16:59:23 batch_cost: 2.2352 data_cost: 0.0012 ips: 25.0541 images/s [10/15 13:07:16] ppdet.engine INFO: Epoch: [106] [460/523] learning_rate: 0.287273 loss_vfl: 0.880219 loss_bbox: 0.321214 loss_dfl: 0.202598 loss: 1.409121 eta: 2 days, 16:58:37 batch_cost: 2.3388 data_cost: 0.0012 ips: 23.9438 images/s [10/15 13:08:06] ppdet.engine INFO: Epoch: [106] [480/523] learning_rate: 0.287201 loss_vfl: 0.889500 loss_bbox: 0.301002 loss_dfl: 0.187912 loss: 1.393019 eta: 2 days, 16:57:52 batch_cost: 2.3645 data_cost: 0.0014 ips: 23.6832 images/s [10/15 13:08:54] ppdet.engine INFO: Epoch: [106] [500/523] learning_rate: 0.287129 loss_vfl: 0.892846 loss_bbox: 0.305837 loss_dfl: 0.197964 loss: 1.392281 eta: 2 days, 16:57:04 batch_cost: 2.2552 data_cost: 0.0012 ips: 24.8313 images/s [10/15 13:09:37] ppdet.engine INFO: Epoch: [106] [520/523] learning_rate: 0.287057 loss_vfl: 0.886997 loss_bbox: 0.320673 loss_dfl: 0.199520 loss: 1.409218 eta: 2 days, 16:56:07 batch_cost: 2.0322 data_cost: 0.0012 ips: 27.5562 images/s [10/15 13:10:05] ppdet.engine INFO: Epoch: [107] [ 0/523] learning_rate: 0.287046 loss_vfl: 0.872818 loss_bbox: 0.312367 loss_dfl: 0.195095 loss: 1.384270 eta: 2 days, 16:56:33 batch_cost: 2.9307 data_cost: 0.4413 ips: 19.1083 images/s [10/15 13:10:55] ppdet.engine INFO: Epoch: [107] [ 20/523] learning_rate: 0.286974 loss_vfl: 0.881175 loss_bbox: 0.304249 loss_dfl: 0.193335 loss: 1.362027 eta: 2 days, 16:55:49 batch_cost: 2.3784 data_cost: 0.0013 ips: 23.5449 images/s [10/15 13:11:43] ppdet.engine INFO: Epoch: [107] [ 40/523] learning_rate: 0.286902 loss_vfl: 0.877218 loss_bbox: 0.294275 loss_dfl: 0.195585 loss: 1.371498 eta: 2 days, 16:55:02 batch_cost: 2.3134 data_cost: 0.0013 ips: 24.2073 images/s [10/15 13:12:31] ppdet.engine INFO: Epoch: [107] [ 60/523] learning_rate: 0.286830 loss_vfl: 0.858399 loss_bbox: 0.318087 loss_dfl: 0.196156 loss: 1.384254 eta: 2 days, 16:54:15 batch_cost: 2.2990 data_cost: 0.0013 ips: 24.3589 images/s [10/15 13:13:20] ppdet.engine INFO: Epoch: [107] [ 80/523] learning_rate: 0.286758 loss_vfl: 0.885737 loss_bbox: 0.292105 loss_dfl: 0.186768 loss: 1.362969 eta: 2 days, 16:53:29 batch_cost: 2.3215 data_cost: 0.0012 ips: 24.1221 images/s [10/15 13:14:09] ppdet.engine INFO: Epoch: [107] [100/523] learning_rate: 0.286686 loss_vfl: 0.884725 loss_bbox: 0.292418 loss_dfl: 0.187136 loss: 1.371499 eta: 2 days, 16:52:43 batch_cost: 2.3122 data_cost: 0.0012 ips: 24.2195 images/s [10/15 13:14:57] ppdet.engine INFO: Epoch: [107] [120/523] learning_rate: 0.286613 loss_vfl: 0.900073 loss_bbox: 0.293467 loss_dfl: 0.193824 loss: 1.381678 eta: 2 days, 16:51:56 batch_cost: 2.2961 data_cost: 0.0013 ips: 24.3893 images/s [10/15 13:15:44] ppdet.engine INFO: Epoch: [107] [140/523] learning_rate: 0.286541 loss_vfl: 0.878830 loss_bbox: 0.290889 loss_dfl: 0.182577 loss: 1.361540 eta: 2 days, 16:51:08 batch_cost: 2.2738 data_cost: 0.0012 ips: 24.6283 images/s [10/15 13:16:32] ppdet.engine INFO: Epoch: [107] [160/523] learning_rate: 0.286469 loss_vfl: 0.876258 loss_bbox: 0.302074 loss_dfl: 0.192218 loss: 1.361690 eta: 2 days, 16:50:20 batch_cost: 2.2757 data_cost: 0.0013 ips: 24.6082 images/s [10/15 13:17:21] ppdet.engine INFO: Epoch: [107] [180/523] learning_rate: 0.286397 loss_vfl: 0.862345 loss_bbox: 0.291777 loss_dfl: 0.190423 loss: 1.362214 eta: 2 days, 16:49:33 batch_cost: 2.2844 data_cost: 0.0013 ips: 24.5139 images/s [10/15 13:18:11] ppdet.engine INFO: Epoch: [107] [200/523] learning_rate: 0.286324 loss_vfl: 0.883234 loss_bbox: 0.298641 loss_dfl: 0.189930 loss: 1.378165 eta: 2 days, 16:48:49 batch_cost: 2.3783 data_cost: 0.0013 ips: 23.5463 images/s [10/15 13:19:00] ppdet.engine INFO: Epoch: [107] [220/523] learning_rate: 0.286252 loss_vfl: 0.879882 loss_bbox: 0.295145 loss_dfl: 0.185716 loss: 1.365445 eta: 2 days, 16:48:03 batch_cost: 2.3314 data_cost: 0.0012 ips: 24.0200 images/s [10/15 13:19:47] ppdet.engine INFO: Epoch: [107] [240/523] learning_rate: 0.286180 loss_vfl: 0.873078 loss_bbox: 0.281363 loss_dfl: 0.178716 loss: 1.362107 eta: 2 days, 16:47:15 batch_cost: 2.2641 data_cost: 0.0013 ips: 24.7343 images/s [10/15 13:20:35] ppdet.engine INFO: Epoch: [107] [260/523] learning_rate: 0.286108 loss_vfl: 0.868913 loss_bbox: 0.295679 loss_dfl: 0.184415 loss: 1.344220 eta: 2 days, 16:46:26 batch_cost: 2.2570 data_cost: 0.0012 ips: 24.8115 images/s [10/15 13:21:22] ppdet.engine INFO: Epoch: [107] [280/523] learning_rate: 0.286035 loss_vfl: 0.854119 loss_bbox: 0.298903 loss_dfl: 0.197531 loss: 1.361117 eta: 2 days, 16:45:37 batch_cost: 2.2283 data_cost: 0.0012 ips: 25.1315 images/s [10/15 13:22:10] ppdet.engine INFO: Epoch: [107] [300/523] learning_rate: 0.285963 loss_vfl: 0.887965 loss_bbox: 0.301045 loss_dfl: 0.194369 loss: 1.380741 eta: 2 days, 16:44:49 batch_cost: 2.2673 data_cost: 0.0012 ips: 24.6989 images/s [10/15 13:22:57] ppdet.engine INFO: Epoch: [107] [320/523] learning_rate: 0.285891 loss_vfl: 0.869319 loss_bbox: 0.291512 loss_dfl: 0.194109 loss: 1.361881 eta: 2 days, 16:43:59 batch_cost: 2.2361 data_cost: 0.0012 ips: 25.0434 images/s [10/15 13:23:45] ppdet.engine INFO: Epoch: [107] [340/523] learning_rate: 0.285818 loss_vfl: 0.883720 loss_bbox: 0.281248 loss_dfl: 0.184012 loss: 1.355431 eta: 2 days, 16:43:11 batch_cost: 2.2660 data_cost: 0.0013 ips: 24.7132 images/s [10/15 13:24:31] ppdet.engine INFO: Epoch: [107] [360/523] learning_rate: 0.285746 loss_vfl: 0.874193 loss_bbox: 0.293690 loss_dfl: 0.188586 loss: 1.351639 eta: 2 days, 16:42:20 batch_cost: 2.1883 data_cost: 0.0013 ips: 25.5903 images/s [10/15 13:25:20] ppdet.engine INFO: Epoch: [107] [380/523] learning_rate: 0.285674 loss_vfl: 0.901593 loss_bbox: 0.301103 loss_dfl: 0.193500 loss: 1.400351 eta: 2 days, 16:41:35 batch_cost: 2.3423 data_cost: 0.0013 ips: 23.9079 images/s [10/15 13:26:09] ppdet.engine INFO: Epoch: [107] [400/523] learning_rate: 0.285601 loss_vfl: 0.881040 loss_bbox: 0.286847 loss_dfl: 0.190381 loss: 1.363612 eta: 2 days, 16:40:48 batch_cost: 2.2968 data_cost: 0.0012 ips: 24.3818 images/s [10/15 13:26:58] ppdet.engine INFO: Epoch: [107] [420/523] learning_rate: 0.285529 loss_vfl: 0.890253 loss_bbox: 0.307063 loss_dfl: 0.189462 loss: 1.367948 eta: 2 days, 16:40:02 batch_cost: 2.3213 data_cost: 0.0012 ips: 24.1244 images/s [10/15 13:27:46] ppdet.engine INFO: Epoch: [107] [440/523] learning_rate: 0.285456 loss_vfl: 0.883695 loss_bbox: 0.310495 loss_dfl: 0.200063 loss: 1.390050 eta: 2 days, 16:39:15 batch_cost: 2.2928 data_cost: 0.0013 ips: 24.4238 images/s [10/15 13:28:33] ppdet.engine INFO: Epoch: [107] [460/523] learning_rate: 0.285384 loss_vfl: 0.891667 loss_bbox: 0.297377 loss_dfl: 0.190939 loss: 1.382077 eta: 2 days, 16:38:26 batch_cost: 2.2359 data_cost: 0.0013 ips: 25.0459 images/s [10/15 13:29:22] ppdet.engine INFO: Epoch: [107] [480/523] learning_rate: 0.285312 loss_vfl: 0.886921 loss_bbox: 0.318760 loss_dfl: 0.201413 loss: 1.399660 eta: 2 days, 16:37:40 batch_cost: 2.3261 data_cost: 0.0012 ips: 24.0744 images/s [10/15 13:30:10] ppdet.engine INFO: Epoch: [107] [500/523] learning_rate: 0.285239 loss_vfl: 0.865019 loss_bbox: 0.300442 loss_dfl: 0.195454 loss: 1.372559 eta: 2 days, 16:36:53 batch_cost: 2.2957 data_cost: 0.0012 ips: 24.3930 images/s [10/15 13:30:53] ppdet.engine INFO: Epoch: [107] [520/523] learning_rate: 0.285167 loss_vfl: 0.888588 loss_bbox: 0.300360 loss_dfl: 0.190915 loss: 1.371907 eta: 2 days, 16:35:56 batch_cost: 2.0166 data_cost: 0.0012 ips: 27.7697 images/s [10/15 13:31:22] ppdet.engine INFO: Epoch: [108] [ 0/523] learning_rate: 0.285156 loss_vfl: 0.888588 loss_bbox: 0.298083 loss_dfl: 0.192682 loss: 1.376437 eta: 2 days, 16:36:22 batch_cost: 2.9661 data_cost: 0.5596 ips: 18.8798 images/s [10/15 13:32:12] ppdet.engine INFO: Epoch: [108] [ 20/523] learning_rate: 0.285083 loss_vfl: 0.862218 loss_bbox: 0.284772 loss_dfl: 0.191380 loss: 1.347611 eta: 2 days, 16:35:37 batch_cost: 2.3270 data_cost: 0.0012 ips: 24.0650 images/s [10/15 13:33:01] ppdet.engine INFO: Epoch: [108] [ 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loss_bbox: 0.322771 loss_dfl: 0.205829 loss: 1.408782 eta: 2 days, 16:31:47 batch_cost: 2.3251 data_cost: 0.0013 ips: 24.0850 images/s [10/15 13:37:04] ppdet.engine INFO: Epoch: [108] [140/523] learning_rate: 0.284648 loss_vfl: 0.871174 loss_bbox: 0.287901 loss_dfl: 0.188275 loss: 1.340747 eta: 2 days, 16:31:00 batch_cost: 2.2973 data_cost: 0.0013 ips: 24.3760 images/s [10/15 13:37:54] ppdet.engine INFO: Epoch: [108] [160/523] learning_rate: 0.284576 loss_vfl: 0.881455 loss_bbox: 0.314944 loss_dfl: 0.198250 loss: 1.387799 eta: 2 days, 16:30:16 batch_cost: 2.3790 data_cost: 0.0013 ips: 23.5392 images/s [10/15 13:38:43] ppdet.engine INFO: Epoch: [108] [180/523] learning_rate: 0.284503 loss_vfl: 0.885732 loss_bbox: 0.283169 loss_dfl: 0.184896 loss: 1.369144 eta: 2 days, 16:29:29 batch_cost: 2.3056 data_cost: 0.0013 ips: 24.2883 images/s [10/15 13:39:31] ppdet.engine INFO: Epoch: [108] [200/523] learning_rate: 0.284430 loss_vfl: 0.873999 loss_bbox: 0.289816 loss_dfl: 0.186444 loss: 1.359383 eta: 2 days, 16:28:42 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4048 images/s [10/15 13:40:19] ppdet.engine INFO: Epoch: [108] [220/523] learning_rate: 0.284358 loss_vfl: 0.893789 loss_bbox: 0.296645 loss_dfl: 0.196139 loss: 1.380679 eta: 2 days, 16:27:55 batch_cost: 2.2862 data_cost: 0.0013 ips: 24.4951 images/s [10/15 13:41:08] ppdet.engine INFO: Epoch: [108] [240/523] learning_rate: 0.284285 loss_vfl: 0.864955 loss_bbox: 0.296961 loss_dfl: 0.185442 loss: 1.348649 eta: 2 days, 16:27:10 batch_cost: 2.3573 data_cost: 0.0014 ips: 23.7561 images/s [10/15 13:41:58] ppdet.engine INFO: Epoch: [108] [260/523] learning_rate: 0.284213 loss_vfl: 0.881759 loss_bbox: 0.296165 loss_dfl: 0.193069 loss: 1.375075 eta: 2 days, 16:26:25 batch_cost: 2.3532 data_cost: 0.0013 ips: 23.7973 images/s [10/15 13:42:47] ppdet.engine INFO: Epoch: [108] [280/523] learning_rate: 0.284140 loss_vfl: 0.873082 loss_bbox: 0.285717 loss_dfl: 0.186165 loss: 1.354476 eta: 2 days, 16:25:40 batch_cost: 2.3673 data_cost: 0.0013 ips: 23.6559 images/s [10/15 13:43:36] ppdet.engine INFO: Epoch: [108] [300/523] learning_rate: 0.284067 loss_vfl: 0.886037 loss_bbox: 0.297446 loss_dfl: 0.185788 loss: 1.359579 eta: 2 days, 16:24:54 batch_cost: 2.3130 data_cost: 0.0019 ips: 24.2112 images/s [10/15 13:44:24] ppdet.engine INFO: Epoch: [108] [320/523] learning_rate: 0.283995 loss_vfl: 0.882619 loss_bbox: 0.279784 loss_dfl: 0.191783 loss: 1.338474 eta: 2 days, 16:24:07 batch_cost: 2.3017 data_cost: 0.0012 ips: 24.3295 images/s [10/15 13:45:13] ppdet.engine INFO: Epoch: [108] [340/523] learning_rate: 0.283922 loss_vfl: 0.885076 loss_bbox: 0.302617 loss_dfl: 0.200457 loss: 1.388627 eta: 2 days, 16:23:21 batch_cost: 2.3099 data_cost: 0.0013 ips: 24.2437 images/s [10/15 13:46:00] ppdet.engine INFO: Epoch: [108] [360/523] learning_rate: 0.283849 loss_vfl: 0.857595 loss_bbox: 0.299769 loss_dfl: 0.196212 loss: 1.368357 eta: 2 days, 16:22:32 batch_cost: 2.2492 data_cost: 0.0013 ips: 24.8976 images/s [10/15 13:46:48] ppdet.engine INFO: Epoch: [108] [380/523] learning_rate: 0.283776 loss_vfl: 0.904635 loss_bbox: 0.298115 loss_dfl: 0.192380 loss: 1.384357 eta: 2 days, 16:21:46 batch_cost: 2.3223 data_cost: 0.0013 ips: 24.1135 images/s [10/15 13:47:36] ppdet.engine INFO: Epoch: [108] [400/523] learning_rate: 0.283704 loss_vfl: 0.879959 loss_bbox: 0.294242 loss_dfl: 0.194431 loss: 1.363446 eta: 2 days, 16:20:58 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5954 images/s [10/15 13:48:26] ppdet.engine INFO: Epoch: [108] [420/523] learning_rate: 0.283631 loss_vfl: 0.899712 loss_bbox: 0.296634 loss_dfl: 0.188276 loss: 1.381822 eta: 2 days, 16:20:13 batch_cost: 2.3642 data_cost: 0.0013 ips: 23.6862 images/s [10/15 13:49:14] ppdet.engine INFO: Epoch: [108] [440/523] learning_rate: 0.283558 loss_vfl: 0.907009 loss_bbox: 0.302102 loss_dfl: 0.196508 loss: 1.384453 eta: 2 days, 16:19:27 batch_cost: 2.3186 data_cost: 0.0013 ips: 24.1530 images/s [10/15 13:50:04] ppdet.engine INFO: Epoch: [108] [460/523] learning_rate: 0.283485 loss_vfl: 0.873619 loss_bbox: 0.315964 loss_dfl: 0.203840 loss: 1.411787 eta: 2 days, 16:18:42 batch_cost: 2.3406 data_cost: 0.0012 ips: 23.9259 images/s [10/15 13:50:52] ppdet.engine INFO: Epoch: [108] [480/523] learning_rate: 0.283413 loss_vfl: 0.879189 loss_bbox: 0.296705 loss_dfl: 0.190610 loss: 1.360896 eta: 2 days, 16:17:55 batch_cost: 2.3008 data_cost: 0.0013 ips: 24.3396 images/s [10/15 13:51:40] ppdet.engine INFO: Epoch: [108] [500/523] learning_rate: 0.283340 loss_vfl: 0.880758 loss_bbox: 0.289477 loss_dfl: 0.196913 loss: 1.396688 eta: 2 days, 16:17:08 batch_cost: 2.3070 data_cost: 0.0012 ips: 24.2744 images/s [10/15 13:52:22] ppdet.engine INFO: Epoch: [108] [520/523] learning_rate: 0.283267 loss_vfl: 0.887184 loss_bbox: 0.284325 loss_dfl: 0.187692 loss: 1.385969 eta: 2 days, 16:16:11 batch_cost: 2.0158 data_cost: 0.0012 ips: 27.7811 images/s [10/15 13:52:53] ppdet.engine INFO: Epoch: [109] [ 0/523] learning_rate: 0.283256 loss_vfl: 0.881995 loss_bbox: 0.290682 loss_dfl: 0.188418 loss: 1.385969 eta: 2 days, 16:16:40 batch_cost: 3.0526 data_cost: 0.5740 ips: 18.3453 images/s [10/15 13:53:43] ppdet.engine INFO: Epoch: [109] [ 20/523] learning_rate: 0.283183 loss_vfl: 0.874460 loss_bbox: 0.290573 loss_dfl: 0.186069 loss: 1.349551 eta: 2 days, 16:15:56 batch_cost: 2.3731 data_cost: 0.0013 ips: 23.5977 images/s [10/15 13:54:33] ppdet.engine INFO: Epoch: [109] [ 40/523] learning_rate: 0.283110 loss_vfl: 0.895898 loss_bbox: 0.312854 loss_dfl: 0.197800 loss: 1.400689 eta: 2 days, 16:15:13 batch_cost: 2.4114 data_cost: 0.0013 ips: 23.2231 images/s [10/15 13:55:22] ppdet.engine INFO: Epoch: [109] [ 60/523] learning_rate: 0.283038 loss_vfl: 0.865082 loss_bbox: 0.284733 loss_dfl: 0.190518 loss: 1.357108 eta: 2 days, 16:14:27 batch_cost: 2.3260 data_cost: 0.0013 ips: 24.0755 images/s [10/15 13:56:11] ppdet.engine INFO: Epoch: [109] [ 80/523] learning_rate: 0.282965 loss_vfl: 0.872494 loss_bbox: 0.291012 loss_dfl: 0.188587 loss: 1.361712 eta: 2 days, 16:13:41 batch_cost: 2.3159 data_cost: 0.0012 ips: 24.1804 images/s [10/15 13:57:00] ppdet.engine INFO: Epoch: [109] [100/523] learning_rate: 0.282892 loss_vfl: 0.890058 loss_bbox: 0.283773 loss_dfl: 0.188416 loss: 1.359991 eta: 2 days, 16:12:56 batch_cost: 2.3547 data_cost: 0.0013 ips: 23.7826 images/s [10/15 13:57:49] ppdet.engine INFO: Epoch: [109] [120/523] learning_rate: 0.282819 loss_vfl: 0.886038 loss_bbox: 0.302526 loss_dfl: 0.190165 loss: 1.367555 eta: 2 days, 16:12:10 batch_cost: 2.3468 data_cost: 0.0012 ips: 23.8626 images/s [10/15 13:58:37] ppdet.engine INFO: Epoch: [109] [140/523] learning_rate: 0.282746 loss_vfl: 0.880357 loss_bbox: 0.304007 loss_dfl: 0.197734 loss: 1.381880 eta: 2 days, 16:11:23 batch_cost: 2.2746 data_cost: 0.0012 ips: 24.6201 images/s [10/15 13:59:26] ppdet.engine INFO: Epoch: [109] [160/523] learning_rate: 0.282673 loss_vfl: 0.879893 loss_bbox: 0.308446 loss_dfl: 0.193182 loss: 1.389548 eta: 2 days, 16:10:37 batch_cost: 2.3438 data_cost: 0.0013 ips: 23.8933 images/s [10/15 14:00:16] ppdet.engine INFO: Epoch: [109] [180/523] learning_rate: 0.282600 loss_vfl: 0.863893 loss_bbox: 0.278940 loss_dfl: 0.177655 loss: 1.331530 eta: 2 days, 16:09:53 batch_cost: 2.3681 data_cost: 0.0017 ips: 23.6480 images/s [10/15 14:01:05] ppdet.engine INFO: Epoch: [109] [200/523] learning_rate: 0.282527 loss_vfl: 0.855721 loss_bbox: 0.329072 loss_dfl: 0.208307 loss: 1.414924 eta: 2 days, 16:09:07 batch_cost: 2.3441 data_cost: 0.0028 ips: 23.8894 images/s [10/15 14:01:53] ppdet.engine INFO: Epoch: [109] [220/523] learning_rate: 0.282454 loss_vfl: 0.869923 loss_bbox: 0.305722 loss_dfl: 0.201141 loss: 1.383554 eta: 2 days, 16:08:20 batch_cost: 2.2904 data_cost: 0.0012 ips: 24.4498 images/s [10/15 14:02:41] ppdet.engine INFO: Epoch: [109] [240/523] learning_rate: 0.282381 loss_vfl: 0.882096 loss_bbox: 0.328147 loss_dfl: 0.199613 loss: 1.409138 eta: 2 days, 16:07:32 batch_cost: 2.2702 data_cost: 0.0013 ips: 24.6679 images/s [10/15 14:03:30] ppdet.engine INFO: Epoch: [109] [260/523] learning_rate: 0.282308 loss_vfl: 0.879062 loss_bbox: 0.302757 loss_dfl: 0.196513 loss: 1.357214 eta: 2 days, 16:06:47 batch_cost: 2.3487 data_cost: 0.0012 ips: 23.8431 images/s [10/15 14:04:19] ppdet.engine INFO: Epoch: [109] [280/523] learning_rate: 0.282235 loss_vfl: 0.886110 loss_bbox: 0.295601 loss_dfl: 0.191363 loss: 1.371862 eta: 2 days, 16:06:01 batch_cost: 2.3415 data_cost: 0.0012 ips: 23.9158 images/s [10/15 14:05:07] ppdet.engine INFO: Epoch: [109] [300/523] learning_rate: 0.282162 loss_vfl: 0.886788 loss_bbox: 0.283754 loss_dfl: 0.193361 loss: 1.352764 eta: 2 days, 16:05:14 batch_cost: 2.2901 data_cost: 0.0012 ips: 24.4536 images/s [10/15 14:05:57] ppdet.engine INFO: Epoch: [109] [320/523] learning_rate: 0.282089 loss_vfl: 0.858944 loss_bbox: 0.291103 loss_dfl: 0.188810 loss: 1.343957 eta: 2 days, 16:04:29 batch_cost: 2.3587 data_cost: 0.0013 ips: 23.7419 images/s [10/15 14:06:46] ppdet.engine INFO: Epoch: [109] [340/523] learning_rate: 0.282016 loss_vfl: 0.880491 loss_bbox: 0.289969 loss_dfl: 0.189265 loss: 1.350616 eta: 2 days, 16:03:44 batch_cost: 2.3540 data_cost: 0.0018 ips: 23.7891 images/s [10/15 14:07:37] ppdet.engine INFO: Epoch: [109] [360/523] learning_rate: 0.281943 loss_vfl: 0.858901 loss_bbox: 0.297103 loss_dfl: 0.191413 loss: 1.333482 eta: 2 days, 16:03:01 batch_cost: 2.4022 data_cost: 0.0013 ips: 23.3119 images/s [10/15 14:08:26] ppdet.engine INFO: Epoch: [109] [380/523] learning_rate: 0.281870 loss_vfl: 0.903708 loss_bbox: 0.297216 loss_dfl: 0.189052 loss: 1.391110 eta: 2 days, 16:02:17 batch_cost: 2.3849 data_cost: 0.0014 ips: 23.4812 images/s [10/15 14:09:14] ppdet.engine INFO: Epoch: [109] [400/523] learning_rate: 0.281797 loss_vfl: 0.888297 loss_bbox: 0.298554 loss_dfl: 0.188671 loss: 1.391214 eta: 2 days, 16:01:30 batch_cost: 2.2832 data_cost: 0.0012 ips: 24.5265 images/s [10/15 14:10:03] ppdet.engine INFO: Epoch: [109] [420/523] learning_rate: 0.281724 loss_vfl: 0.899228 loss_bbox: 0.293802 loss_dfl: 0.191823 loss: 1.391455 eta: 2 days, 16:00:43 batch_cost: 2.3233 data_cost: 0.0018 ips: 24.1040 images/s [10/15 14:10:52] ppdet.engine INFO: Epoch: [109] [440/523] learning_rate: 0.281651 loss_vfl: 0.876918 loss_bbox: 0.298555 loss_dfl: 0.189650 loss: 1.378705 eta: 2 days, 15:59:58 batch_cost: 2.3371 data_cost: 0.0025 ips: 23.9611 images/s [10/15 14:11:41] ppdet.engine INFO: Epoch: [109] [460/523] learning_rate: 0.281578 loss_vfl: 0.880856 loss_bbox: 0.297127 loss_dfl: 0.191652 loss: 1.372536 eta: 2 days, 15:59:13 batch_cost: 2.3684 data_cost: 0.0013 ips: 23.6444 images/s [10/15 14:12:31] ppdet.engine INFO: Epoch: [109] [480/523] learning_rate: 0.281505 loss_vfl: 0.852618 loss_bbox: 0.300331 loss_dfl: 0.188769 loss: 1.360226 eta: 2 days, 15:58:29 batch_cost: 2.3881 data_cost: 0.0013 ips: 23.4492 images/s [10/15 14:13:21] ppdet.engine INFO: Epoch: [109] [500/523] learning_rate: 0.281431 loss_vfl: 0.909033 loss_bbox: 0.308177 loss_dfl: 0.189862 loss: 1.394385 eta: 2 days, 15:57:45 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7100 images/s [10/15 14:14:03] ppdet.engine INFO: Epoch: [109] [520/523] learning_rate: 0.281358 loss_vfl: 0.865578 loss_bbox: 0.299691 loss_dfl: 0.194952 loss: 1.360147 eta: 2 days, 15:56:48 batch_cost: 2.0245 data_cost: 0.0012 ips: 27.6606 images/s [10/15 14:14:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 14:14:12] ppdet.engine INFO: Eval iter: 0 [10/15 14:14:51] ppdet.engine INFO: Eval iter: 100 [10/15 14:15:12] ppdet.engine INFO: Eval iter: 200 [10/15 14:15:32] ppdet.engine INFO: Eval iter: 300 [10/15 14:15:53] ppdet.engine INFO: Eval iter: 400 [10/15 14:16:15] ppdet.engine INFO: Eval iter: 500 [10/15 14:16:37] ppdet.engine INFO: Eval iter: 600 [10/15 14:16:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.09s) creating index... index created! [10/15 14:16:58] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.52s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.91s). Accumulating evaluation results... DONE (t=18.00s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.338 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.359 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 ] = 0.363 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.294 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.468 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 ] = 0.224 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.562 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.738 [10/15 14:19:05] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.89287889401873 [10/15 14:19:05] ppdet.engine INFO: Best test bbox ap is 0.338. [10/15 14:19:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 14:19:07] ppdet.engine INFO: Epoch: [110] [ 0/523] learning_rate: 0.281347 loss_vfl: 0.865578 loss_bbox: 0.305022 loss_dfl: 0.194042 loss: 1.374786 eta: 2 days, 15:56:38 batch_cost: 1.9416 data_cost: 0.0012 ips: 28.8422 images/s [10/15 14:19:56] ppdet.engine INFO: Epoch: [110] [ 20/523] learning_rate: 0.281274 loss_vfl: 0.867561 loss_bbox: 0.309543 loss_dfl: 0.200734 loss: 1.378293 eta: 2 days, 15:55:53 batch_cost: 2.3518 data_cost: 0.0013 ips: 23.8117 images/s [10/15 14:20:47] ppdet.engine INFO: Epoch: [110] [ 40/523] learning_rate: 0.281201 loss_vfl: 0.887552 loss_bbox: 0.293749 loss_dfl: 0.190096 loss: 1.379639 eta: 2 days, 15:55:10 batch_cost: 2.4271 data_cost: 0.0012 ips: 23.0731 images/s [10/15 14:21:37] ppdet.engine INFO: Epoch: [110] [ 60/523] learning_rate: 0.281128 loss_vfl: 0.869856 loss_bbox: 0.311113 loss_dfl: 0.189711 loss: 1.367234 eta: 2 days, 15:54:25 batch_cost: 2.3560 data_cost: 0.0013 ips: 23.7695 images/s [10/15 14:22:25] ppdet.engine INFO: Epoch: [110] [ 80/523] learning_rate: 0.281055 loss_vfl: 0.881885 loss_bbox: 0.291592 loss_dfl: 0.184951 loss: 1.366517 eta: 2 days, 15:53:39 batch_cost: 2.3161 data_cost: 0.0012 ips: 24.1787 images/s [10/15 14:23:12] ppdet.engine INFO: Epoch: [110] [100/523] learning_rate: 0.280981 loss_vfl: 0.867697 loss_bbox: 0.297869 loss_dfl: 0.190685 loss: 1.363185 eta: 2 days, 15:52:49 batch_cost: 2.2156 data_cost: 0.0012 ips: 25.2750 images/s [10/15 14:23:59] ppdet.engine INFO: Epoch: [110] [120/523] learning_rate: 0.280908 loss_vfl: 0.906762 loss_bbox: 0.286330 loss_dfl: 0.188408 loss: 1.379626 eta: 2 days, 15:52:00 batch_cost: 2.2319 data_cost: 0.0012 ips: 25.0910 images/s [10/15 14:24:47] ppdet.engine INFO: Epoch: [110] [140/523] learning_rate: 0.280835 loss_vfl: 0.865646 loss_bbox: 0.306715 loss_dfl: 0.197191 loss: 1.378650 eta: 2 days, 15:51:13 batch_cost: 2.3029 data_cost: 0.0013 ips: 24.3169 images/s [10/15 14:25:35] ppdet.engine INFO: Epoch: [110] [160/523] learning_rate: 0.280762 loss_vfl: 0.877224 loss_bbox: 0.288111 loss_dfl: 0.186796 loss: 1.357522 eta: 2 days, 15:50:26 batch_cost: 2.2980 data_cost: 0.0013 ips: 24.3689 images/s [10/15 14:26:23] ppdet.engine INFO: Epoch: [110] [180/523] learning_rate: 0.280688 loss_vfl: 0.889923 loss_bbox: 0.294766 loss_dfl: 0.195916 loss: 1.393732 eta: 2 days, 15:49:39 batch_cost: 2.3025 data_cost: 0.0012 ips: 24.3215 images/s [10/15 14:27:12] ppdet.engine INFO: Epoch: [110] [200/523] learning_rate: 0.280615 loss_vfl: 0.884842 loss_bbox: 0.294276 loss_dfl: 0.194713 loss: 1.394768 eta: 2 days, 15:48:53 batch_cost: 2.3094 data_cost: 0.0013 ips: 24.2488 images/s [10/15 14:27:59] ppdet.engine INFO: Epoch: [110] [220/523] learning_rate: 0.280542 loss_vfl: 0.877900 loss_bbox: 0.296563 loss_dfl: 0.194258 loss: 1.389518 eta: 2 days, 15:48:04 batch_cost: 2.2377 data_cost: 0.0012 ips: 25.0256 images/s [10/15 14:28:48] ppdet.engine INFO: Epoch: [110] [240/523] learning_rate: 0.280468 loss_vfl: 0.873678 loss_bbox: 0.297783 loss_dfl: 0.193346 loss: 1.357833 eta: 2 days, 15:47:18 batch_cost: 2.3211 data_cost: 0.0012 ips: 24.1262 images/s [10/15 14:29:35] ppdet.engine INFO: Epoch: [110] [260/523] learning_rate: 0.280395 loss_vfl: 0.897207 loss_bbox: 0.277371 loss_dfl: 0.192223 loss: 1.366645 eta: 2 days, 15:46:29 batch_cost: 2.2448 data_cost: 0.0013 ips: 24.9461 images/s [10/15 14:30:22] ppdet.engine INFO: Epoch: [110] [280/523] learning_rate: 0.280322 loss_vfl: 0.885659 loss_bbox: 0.270294 loss_dfl: 0.180120 loss: 1.333336 eta: 2 days, 15:45:40 batch_cost: 2.2315 data_cost: 0.0012 ips: 25.0955 images/s [10/15 14:31:10] ppdet.engine INFO: Epoch: [110] [300/523] learning_rate: 0.280248 loss_vfl: 0.884779 loss_bbox: 0.327923 loss_dfl: 0.204470 loss: 1.394823 eta: 2 days, 15:44:51 batch_cost: 2.2356 data_cost: 0.0012 ips: 25.0494 images/s [10/15 14:31:57] ppdet.engine INFO: Epoch: [110] [320/523] learning_rate: 0.280175 loss_vfl: 0.875343 loss_bbox: 0.312812 loss_dfl: 0.199010 loss: 1.377112 eta: 2 days, 15:44:02 batch_cost: 2.2430 data_cost: 0.0012 ips: 24.9661 images/s [10/15 14:32:44] ppdet.engine INFO: Epoch: [110] [340/523] learning_rate: 0.280102 loss_vfl: 0.896392 loss_bbox: 0.303148 loss_dfl: 0.202079 loss: 1.401495 eta: 2 days, 15:43:12 batch_cost: 2.2104 data_cost: 0.0013 ips: 25.3350 images/s [10/15 14:33:31] ppdet.engine INFO: Epoch: [110] [360/523] learning_rate: 0.280028 loss_vfl: 0.878130 loss_bbox: 0.298769 loss_dfl: 0.197866 loss: 1.382183 eta: 2 days, 15:42:23 batch_cost: 2.2503 data_cost: 0.0013 ips: 24.8851 images/s [10/15 14:34:18] ppdet.engine INFO: Epoch: [110] [380/523] learning_rate: 0.279955 loss_vfl: 0.861609 loss_bbox: 0.296709 loss_dfl: 0.190707 loss: 1.350409 eta: 2 days, 15:41:35 batch_cost: 2.2537 data_cost: 0.0012 ips: 24.8484 images/s [10/15 14:35:07] ppdet.engine INFO: Epoch: [110] [400/523] learning_rate: 0.279881 loss_vfl: 0.874169 loss_bbox: 0.302628 loss_dfl: 0.198715 loss: 1.388873 eta: 2 days, 15:40:50 batch_cost: 2.3590 data_cost: 0.0012 ips: 23.7390 images/s [10/15 14:35:55] ppdet.engine INFO: Epoch: [110] [420/523] learning_rate: 0.279808 loss_vfl: 0.885561 loss_bbox: 0.302530 loss_dfl: 0.195982 loss: 1.378346 eta: 2 days, 15:40:02 batch_cost: 2.2649 data_cost: 0.0014 ips: 24.7255 images/s [10/15 14:36:43] ppdet.engine INFO: Epoch: [110] [440/523] learning_rate: 0.279735 loss_vfl: 0.880762 loss_bbox: 0.323954 loss_dfl: 0.200072 loss: 1.411063 eta: 2 days, 15:39:16 batch_cost: 2.3262 data_cost: 0.0013 ips: 24.0739 images/s [10/15 14:37:32] ppdet.engine INFO: Epoch: [110] [460/523] learning_rate: 0.279661 loss_vfl: 0.886139 loss_bbox: 0.277335 loss_dfl: 0.185963 loss: 1.362643 eta: 2 days, 15:38:28 batch_cost: 2.2848 data_cost: 0.0013 ips: 24.5102 images/s [10/15 14:38:20] ppdet.engine INFO: Epoch: [110] [480/523] learning_rate: 0.279588 loss_vfl: 0.861264 loss_bbox: 0.311184 loss_dfl: 0.197848 loss: 1.384516 eta: 2 days, 15:37:41 batch_cost: 2.2912 data_cost: 0.0013 ips: 24.4418 images/s [10/15 14:39:08] ppdet.engine INFO: Epoch: [110] [500/523] learning_rate: 0.279514 loss_vfl: 0.888949 loss_bbox: 0.294362 loss_dfl: 0.191776 loss: 1.364171 eta: 2 days, 15:36:53 batch_cost: 2.2733 data_cost: 0.0012 ips: 24.6341 images/s [10/15 14:39:49] ppdet.engine INFO: Epoch: [110] [520/523] learning_rate: 0.279441 loss_vfl: 0.883414 loss_bbox: 0.309892 loss_dfl: 0.197058 loss: 1.375029 eta: 2 days, 15:35:54 batch_cost: 1.9412 data_cost: 0.0011 ips: 28.8474 images/s [10/15 14:40:14] ppdet.engine INFO: Epoch: [111] [ 0/523] learning_rate: 0.279430 loss_vfl: 0.883414 loss_bbox: 0.306700 loss_dfl: 0.197058 loss: 1.385430 eta: 2 days, 15:36:12 batch_cost: 2.6877 data_cost: 0.4245 ips: 20.8356 images/s [10/15 14:41:05] ppdet.engine INFO: Epoch: [111] [ 20/523] learning_rate: 0.279356 loss_vfl: 0.854849 loss_bbox: 0.297176 loss_dfl: 0.191295 loss: 1.374431 eta: 2 days, 15:35:29 batch_cost: 2.4190 data_cost: 0.0016 ips: 23.1498 images/s [10/15 14:41:54] ppdet.engine INFO: Epoch: [111] [ 40/523] learning_rate: 0.279283 loss_vfl: 0.878485 loss_bbox: 0.319815 loss_dfl: 0.199397 loss: 1.403945 eta: 2 days, 15:34:43 batch_cost: 2.3259 data_cost: 0.0014 ips: 24.0766 images/s [10/15 14:42:44] ppdet.engine INFO: Epoch: [111] [ 60/523] learning_rate: 0.279209 loss_vfl: 0.875035 loss_bbox: 0.303564 loss_dfl: 0.200877 loss: 1.374014 eta: 2 days, 15:34:00 batch_cost: 2.3908 data_cost: 0.0017 ips: 23.4235 images/s [10/15 14:43:31] ppdet.engine INFO: Epoch: [111] [ 80/523] learning_rate: 0.279135 loss_vfl: 0.863994 loss_bbox: 0.301358 loss_dfl: 0.193371 loss: 1.358577 eta: 2 days, 15:33:11 batch_cost: 2.2507 data_cost: 0.0012 ips: 24.8813 images/s [10/15 14:44:18] ppdet.engine INFO: Epoch: [111] [100/523] learning_rate: 0.279062 loss_vfl: 0.865028 loss_bbox: 0.292754 loss_dfl: 0.187759 loss: 1.363915 eta: 2 days, 15:32:21 batch_cost: 2.2142 data_cost: 0.0013 ips: 25.2917 images/s [10/15 14:45:06] ppdet.engine INFO: Epoch: [111] [120/523] learning_rate: 0.278988 loss_vfl: 0.893258 loss_bbox: 0.278565 loss_dfl: 0.182494 loss: 1.365642 eta: 2 days, 15:31:34 batch_cost: 2.2997 data_cost: 0.0013 ips: 24.3506 images/s [10/15 14:45:54] ppdet.engine INFO: Epoch: [111] [140/523] learning_rate: 0.278915 loss_vfl: 0.865340 loss_bbox: 0.302789 loss_dfl: 0.194315 loss: 1.367218 eta: 2 days, 15:30:47 batch_cost: 2.2873 data_cost: 0.0014 ips: 24.4832 images/s [10/15 14:46:42] ppdet.engine INFO: Epoch: [111] [160/523] learning_rate: 0.278841 loss_vfl: 0.852894 loss_bbox: 0.303985 loss_dfl: 0.192053 loss: 1.360624 eta: 2 days, 15:30:00 batch_cost: 2.2811 data_cost: 0.0012 ips: 24.5499 images/s [10/15 14:47:30] ppdet.engine INFO: Epoch: [111] [180/523] learning_rate: 0.278768 loss_vfl: 0.867830 loss_bbox: 0.296498 loss_dfl: 0.191514 loss: 1.371750 eta: 2 days, 15:29:11 batch_cost: 2.2649 data_cost: 0.0012 ips: 24.7253 images/s [10/15 14:48:19] ppdet.engine INFO: Epoch: [111] [200/523] learning_rate: 0.278694 loss_vfl: 0.861411 loss_bbox: 0.289481 loss_dfl: 0.191875 loss: 1.349458 eta: 2 days, 15:28:25 batch_cost: 2.3059 data_cost: 0.0012 ips: 24.2857 images/s [10/15 14:49:07] ppdet.engine INFO: Epoch: [111] [220/523] learning_rate: 0.278620 loss_vfl: 0.879600 loss_bbox: 0.295442 loss_dfl: 0.189482 loss: 1.369142 eta: 2 days, 15:27:38 batch_cost: 2.3011 data_cost: 0.0013 ips: 24.3366 images/s [10/15 14:49:55] ppdet.engine INFO: Epoch: [111] [240/523] learning_rate: 0.278547 loss_vfl: 0.868872 loss_bbox: 0.290738 loss_dfl: 0.189715 loss: 1.339256 eta: 2 days, 15:26:51 batch_cost: 2.2853 data_cost: 0.0013 ips: 24.5044 images/s [10/15 14:50:44] ppdet.engine INFO: Epoch: [111] [260/523] learning_rate: 0.278473 loss_vfl: 0.882094 loss_bbox: 0.285968 loss_dfl: 0.183393 loss: 1.355911 eta: 2 days, 15:26:04 batch_cost: 2.3194 data_cost: 0.0014 ips: 24.1438 images/s [10/15 14:51:33] ppdet.engine INFO: Epoch: [111] [280/523] learning_rate: 0.278399 loss_vfl: 0.865419 loss_bbox: 0.312959 loss_dfl: 0.197987 loss: 1.363639 eta: 2 days, 15:25:19 batch_cost: 2.3612 data_cost: 0.0013 ips: 23.7164 images/s [10/15 14:52:21] ppdet.engine INFO: Epoch: [111] [300/523] learning_rate: 0.278326 loss_vfl: 0.872463 loss_bbox: 0.306270 loss_dfl: 0.195326 loss: 1.388737 eta: 2 days, 15:24:32 batch_cost: 2.2902 data_cost: 0.0014 ips: 24.4519 images/s [10/15 14:53:10] ppdet.engine INFO: Epoch: [111] [320/523] learning_rate: 0.278252 loss_vfl: 0.872934 loss_bbox: 0.311258 loss_dfl: 0.196775 loss: 1.356431 eta: 2 days, 15:23:45 batch_cost: 2.2966 data_cost: 0.0013 ips: 24.3841 images/s [10/15 14:53:57] ppdet.engine INFO: Epoch: [111] [340/523] learning_rate: 0.278178 loss_vfl: 0.867272 loss_bbox: 0.297548 loss_dfl: 0.188865 loss: 1.371065 eta: 2 days, 15:22:56 batch_cost: 2.2385 data_cost: 0.0013 ips: 25.0169 images/s [10/15 14:54:45] ppdet.engine INFO: Epoch: [111] [360/523] learning_rate: 0.278104 loss_vfl: 0.884435 loss_bbox: 0.293871 loss_dfl: 0.193469 loss: 1.378155 eta: 2 days, 15:22:08 batch_cost: 2.2493 data_cost: 0.0013 ips: 24.8972 images/s [10/15 14:55:32] ppdet.engine INFO: Epoch: [111] [380/523] learning_rate: 0.278031 loss_vfl: 0.877105 loss_bbox: 0.289851 loss_dfl: 0.177626 loss: 1.346575 eta: 2 days, 15:21:19 batch_cost: 2.2480 data_cost: 0.0013 ips: 24.9110 images/s [10/15 14:56:20] ppdet.engine INFO: Epoch: [111] [400/523] learning_rate: 0.277957 loss_vfl: 0.874794 loss_bbox: 0.292491 loss_dfl: 0.186819 loss: 1.338050 eta: 2 days, 15:20:31 batch_cost: 2.2616 data_cost: 0.0013 ips: 24.7616 images/s [10/15 14:57:08] ppdet.engine INFO: Epoch: [111] [420/523] learning_rate: 0.277883 loss_vfl: 0.882442 loss_bbox: 0.312343 loss_dfl: 0.192935 loss: 1.401513 eta: 2 days, 15:19:42 batch_cost: 2.2503 data_cost: 0.0025 ips: 24.8860 images/s [10/15 14:57:56] ppdet.engine INFO: Epoch: [111] [440/523] learning_rate: 0.277809 loss_vfl: 0.859298 loss_bbox: 0.301467 loss_dfl: 0.188114 loss: 1.353592 eta: 2 days, 15:18:56 batch_cost: 2.3226 data_cost: 0.0012 ips: 24.1113 images/s [10/15 14:58:46] ppdet.engine INFO: Epoch: [111] [460/523] learning_rate: 0.277736 loss_vfl: 0.872067 loss_bbox: 0.292656 loss_dfl: 0.184522 loss: 1.363575 eta: 2 days, 15:18:12 batch_cost: 2.3884 data_cost: 0.0013 ips: 23.4469 images/s [10/15 14:59:37] ppdet.engine INFO: Epoch: [111] [480/523] learning_rate: 0.277662 loss_vfl: 0.876996 loss_bbox: 0.299269 loss_dfl: 0.196260 loss: 1.384027 eta: 2 days, 15:17:29 batch_cost: 2.4018 data_cost: 0.0013 ips: 23.3154 images/s [10/15 15:00:24] ppdet.engine INFO: Epoch: [111] [500/523] learning_rate: 0.277588 loss_vfl: 0.885538 loss_bbox: 0.299891 loss_dfl: 0.193635 loss: 1.361436 eta: 2 days, 15:16:40 batch_cost: 2.2498 data_cost: 0.0022 ips: 24.8913 images/s [10/15 15:01:05] ppdet.engine INFO: Epoch: [111] [520/523] learning_rate: 0.277514 loss_vfl: 0.862584 loss_bbox: 0.311107 loss_dfl: 0.193069 loss: 1.371570 eta: 2 days, 15:15:42 batch_cost: 1.9476 data_cost: 0.0012 ips: 28.7530 images/s [10/15 15:01:33] ppdet.engine INFO: Epoch: [112] [ 0/523] learning_rate: 0.277503 loss_vfl: 0.860966 loss_bbox: 0.312539 loss_dfl: 0.198236 loss: 1.389260 eta: 2 days, 15:16:04 batch_cost: 2.8399 data_cost: 0.6545 ips: 19.7192 images/s [10/15 15:02:25] ppdet.engine INFO: Epoch: [112] [ 20/523] learning_rate: 0.277429 loss_vfl: 0.860901 loss_bbox: 0.317244 loss_dfl: 0.196754 loss: 1.372832 eta: 2 days, 15:15:21 batch_cost: 2.4199 data_cost: 0.0016 ips: 23.1415 images/s [10/15 15:03:13] ppdet.engine INFO: Epoch: [112] [ 40/523] learning_rate: 0.277355 loss_vfl: 0.866573 loss_bbox: 0.322571 loss_dfl: 0.201742 loss: 1.387775 eta: 2 days, 15:14:34 batch_cost: 2.2849 data_cost: 0.0024 ips: 24.5089 images/s [10/15 15:04:03] ppdet.engine INFO: Epoch: [112] [ 60/523] learning_rate: 0.277282 loss_vfl: 0.879026 loss_bbox: 0.294981 loss_dfl: 0.190921 loss: 1.382960 eta: 2 days, 15:13:48 batch_cost: 2.3393 data_cost: 0.0029 ips: 23.9390 images/s [10/15 15:04:51] ppdet.engine INFO: Epoch: [112] [ 80/523] learning_rate: 0.277208 loss_vfl: 0.874620 loss_bbox: 0.290689 loss_dfl: 0.184059 loss: 1.342913 eta: 2 days, 15:13:02 batch_cost: 2.3208 data_cost: 0.0013 ips: 24.1294 images/s [10/15 15:05:39] ppdet.engine INFO: Epoch: [112] [100/523] learning_rate: 0.277134 loss_vfl: 0.874810 loss_bbox: 0.305820 loss_dfl: 0.193179 loss: 1.361375 eta: 2 days, 15:12:14 batch_cost: 2.2746 data_cost: 0.0013 ips: 24.6194 images/s [10/15 15:06:28] ppdet.engine INFO: Epoch: [112] [120/523] learning_rate: 0.277060 loss_vfl: 0.871645 loss_bbox: 0.289437 loss_dfl: 0.191619 loss: 1.342466 eta: 2 days, 15:11:29 batch_cost: 2.3463 data_cost: 0.0013 ips: 23.8673 images/s [10/15 15:07:16] ppdet.engine INFO: Epoch: [112] [140/523] learning_rate: 0.276986 loss_vfl: 0.861510 loss_bbox: 0.295262 loss_dfl: 0.195352 loss: 1.367862 eta: 2 days, 15:10:42 batch_cost: 2.2891 data_cost: 0.0013 ips: 24.4640 images/s [10/15 15:08:05] ppdet.engine INFO: Epoch: [112] [160/523] learning_rate: 0.276912 loss_vfl: 0.855141 loss_bbox: 0.314274 loss_dfl: 0.203355 loss: 1.407147 eta: 2 days, 15:09:57 batch_cost: 2.3647 data_cost: 0.0012 ips: 23.6820 images/s [10/15 15:08:54] ppdet.engine INFO: Epoch: [112] [180/523] learning_rate: 0.276838 loss_vfl: 0.876604 loss_bbox: 0.295554 loss_dfl: 0.195413 loss: 1.379395 eta: 2 days, 15:09:11 batch_cost: 2.3222 data_cost: 0.0013 ips: 24.1153 images/s [10/15 15:09:42] ppdet.engine INFO: Epoch: [112] [200/523] learning_rate: 0.276764 loss_vfl: 0.869162 loss_bbox: 0.293080 loss_dfl: 0.185588 loss: 1.342675 eta: 2 days, 15:08:25 batch_cost: 2.3342 data_cost: 0.0012 ips: 23.9911 images/s [10/15 15:10:31] ppdet.engine INFO: Epoch: [112] [220/523] learning_rate: 0.276690 loss_vfl: 0.866784 loss_bbox: 0.291346 loss_dfl: 0.191266 loss: 1.335674 eta: 2 days, 15:07:37 batch_cost: 2.2785 data_cost: 0.0013 ips: 24.5775 images/s [10/15 15:11:19] ppdet.engine INFO: Epoch: [112] [240/523] learning_rate: 0.276616 loss_vfl: 0.862401 loss_bbox: 0.283472 loss_dfl: 0.187431 loss: 1.336586 eta: 2 days, 15:06:50 batch_cost: 2.2912 data_cost: 0.0013 ips: 24.4413 images/s [10/15 15:12:06] ppdet.engine INFO: Epoch: [112] [260/523] learning_rate: 0.276542 loss_vfl: 0.885464 loss_bbox: 0.288559 loss_dfl: 0.190895 loss: 1.370677 eta: 2 days, 15:06:01 batch_cost: 2.2454 data_cost: 0.0013 ips: 24.9393 images/s [10/15 15:12:55] ppdet.engine INFO: Epoch: [112] [280/523] learning_rate: 0.276468 loss_vfl: 0.881335 loss_bbox: 0.292570 loss_dfl: 0.188887 loss: 1.359823 eta: 2 days, 15:05:16 batch_cost: 2.3284 data_cost: 0.0012 ips: 24.0505 images/s [10/15 15:13:44] ppdet.engine INFO: Epoch: [112] [300/523] learning_rate: 0.276394 loss_vfl: 0.875754 loss_bbox: 0.298821 loss_dfl: 0.194791 loss: 1.371250 eta: 2 days, 15:04:30 batch_cost: 2.3541 data_cost: 0.0014 ips: 23.7884 images/s [10/15 15:14:31] ppdet.engine INFO: Epoch: [112] [320/523] learning_rate: 0.276320 loss_vfl: 0.872132 loss_bbox: 0.287889 loss_dfl: 0.192647 loss: 1.357183 eta: 2 days, 15:03:43 batch_cost: 2.2751 data_cost: 0.0024 ips: 24.6139 images/s [10/15 15:15:20] ppdet.engine INFO: Epoch: [112] [340/523] learning_rate: 0.276246 loss_vfl: 0.879748 loss_bbox: 0.304166 loss_dfl: 0.194114 loss: 1.394097 eta: 2 days, 15:02:55 batch_cost: 2.2672 data_cost: 0.0015 ips: 24.7005 images/s [10/15 15:16:07] ppdet.engine INFO: Epoch: [112] [360/523] learning_rate: 0.276172 loss_vfl: 0.886499 loss_bbox: 0.297485 loss_dfl: 0.193004 loss: 1.392609 eta: 2 days, 15:02:07 batch_cost: 2.2735 data_cost: 0.0012 ips: 24.6321 images/s [10/15 15:16:55] ppdet.engine INFO: Epoch: [112] [380/523] learning_rate: 0.276098 loss_vfl: 0.889969 loss_bbox: 0.287270 loss_dfl: 0.182459 loss: 1.376768 eta: 2 days, 15:01:20 batch_cost: 2.3023 data_cost: 0.0013 ips: 24.3236 images/s [10/15 15:17:45] ppdet.engine INFO: Epoch: [112] [400/523] learning_rate: 0.276024 loss_vfl: 0.884189 loss_bbox: 0.304951 loss_dfl: 0.191461 loss: 1.377177 eta: 2 days, 15:00:36 batch_cost: 2.3801 data_cost: 0.0013 ips: 23.5285 images/s [10/15 15:18:33] ppdet.engine INFO: Epoch: [112] [420/523] learning_rate: 0.275950 loss_vfl: 0.874249 loss_bbox: 0.282091 loss_dfl: 0.182519 loss: 1.358870 eta: 2 days, 14:59:49 batch_cost: 2.2989 data_cost: 0.0013 ips: 24.3595 images/s [10/15 15:19:21] ppdet.engine INFO: Epoch: [112] [440/523] learning_rate: 0.275876 loss_vfl: 0.883212 loss_bbox: 0.304494 loss_dfl: 0.197408 loss: 1.394031 eta: 2 days, 14:59:01 batch_cost: 2.2612 data_cost: 0.0018 ips: 24.7656 images/s [10/15 15:20:10] ppdet.engine INFO: Epoch: [112] [460/523] learning_rate: 0.275802 loss_vfl: 0.882818 loss_bbox: 0.304022 loss_dfl: 0.196516 loss: 1.362977 eta: 2 days, 14:58:15 batch_cost: 2.3219 data_cost: 0.0019 ips: 24.1185 images/s [10/15 15:20:59] ppdet.engine INFO: Epoch: [112] [480/523] learning_rate: 0.275728 loss_vfl: 0.868321 loss_bbox: 0.299366 loss_dfl: 0.193192 loss: 1.359940 eta: 2 days, 14:57:29 batch_cost: 2.3346 data_cost: 0.0012 ips: 23.9869 images/s [10/15 15:21:48] ppdet.engine INFO: Epoch: [112] [500/523] learning_rate: 0.275653 loss_vfl: 0.889286 loss_bbox: 0.286277 loss_dfl: 0.186538 loss: 1.369821 eta: 2 days, 14:56:44 batch_cost: 2.3454 data_cost: 0.0012 ips: 23.8769 images/s [10/15 15:22:30] ppdet.engine INFO: Epoch: [112] [520/523] learning_rate: 0.275579 loss_vfl: 0.889267 loss_bbox: 0.283707 loss_dfl: 0.186481 loss: 1.356344 eta: 2 days, 14:55:46 batch_cost: 1.9768 data_cost: 0.0012 ips: 28.3284 images/s [10/15 15:22:59] ppdet.engine INFO: Epoch: [113] [ 0/523] learning_rate: 0.275568 loss_vfl: 0.890277 loss_bbox: 0.282121 loss_dfl: 0.186481 loss: 1.356344 eta: 2 days, 14:56:10 batch_cost: 2.9119 data_cost: 0.7754 ips: 19.2313 images/s [10/15 15:23:49] ppdet.engine INFO: Epoch: [113] [ 20/523] learning_rate: 0.275494 loss_vfl: 0.855644 loss_bbox: 0.296230 loss_dfl: 0.200526 loss: 1.367281 eta: 2 days, 14:55:27 batch_cost: 2.3972 data_cost: 0.0021 ips: 23.3602 images/s [10/15 15:24:39] ppdet.engine INFO: Epoch: [113] [ 40/523] learning_rate: 0.275420 loss_vfl: 0.876513 loss_bbox: 0.297662 loss_dfl: 0.195949 loss: 1.357386 eta: 2 days, 14:54:42 batch_cost: 2.3579 data_cost: 0.0013 ips: 23.7502 images/s [10/15 15:25:27] ppdet.engine INFO: Epoch: [113] [ 60/523] learning_rate: 0.275346 loss_vfl: 0.863506 loss_bbox: 0.286817 loss_dfl: 0.182680 loss: 1.352203 eta: 2 days, 14:53:54 batch_cost: 2.2855 data_cost: 0.0013 ips: 24.5022 images/s [10/15 15:26:15] ppdet.engine INFO: Epoch: [113] [ 80/523] learning_rate: 0.275271 loss_vfl: 0.865676 loss_bbox: 0.292892 loss_dfl: 0.187945 loss: 1.361029 eta: 2 days, 14:53:08 batch_cost: 2.3108 data_cost: 0.0014 ips: 24.2341 images/s [10/15 15:27:05] ppdet.engine INFO: Epoch: [113] [100/523] learning_rate: 0.275197 loss_vfl: 0.874030 loss_bbox: 0.291914 loss_dfl: 0.190305 loss: 1.333370 eta: 2 days, 14:52:23 batch_cost: 2.3652 data_cost: 0.0013 ips: 23.6768 images/s [10/15 15:27:52] ppdet.engine INFO: Epoch: [113] [120/523] learning_rate: 0.275123 loss_vfl: 0.868049 loss_bbox: 0.297412 loss_dfl: 0.188514 loss: 1.374470 eta: 2 days, 14:51:36 batch_cost: 2.2844 data_cost: 0.0012 ips: 24.5138 images/s [10/15 15:28:40] ppdet.engine INFO: Epoch: [113] [140/523] learning_rate: 0.275049 loss_vfl: 0.885125 loss_bbox: 0.289771 loss_dfl: 0.189834 loss: 1.368637 eta: 2 days, 14:50:48 batch_cost: 2.2875 data_cost: 0.0013 ips: 24.4807 images/s [10/15 15:29:28] ppdet.engine INFO: Epoch: [113] [160/523] learning_rate: 0.274975 loss_vfl: 0.899094 loss_bbox: 0.309417 loss_dfl: 0.197788 loss: 1.393135 eta: 2 days, 14:50:01 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6126 images/s [10/15 15:30:17] ppdet.engine INFO: Epoch: [113] [180/523] learning_rate: 0.274900 loss_vfl: 0.880270 loss_bbox: 0.304006 loss_dfl: 0.193330 loss: 1.396930 eta: 2 days, 14:49:16 batch_cost: 2.3588 data_cost: 0.0013 ips: 23.7413 images/s [10/15 15:31:05] ppdet.engine INFO: Epoch: [113] [200/523] learning_rate: 0.274826 loss_vfl: 0.882449 loss_bbox: 0.303633 loss_dfl: 0.193595 loss: 1.356838 eta: 2 days, 14:48:28 batch_cost: 2.2792 data_cost: 0.0015 ips: 24.5705 images/s [10/15 15:31:53] ppdet.engine INFO: Epoch: [113] [220/523] learning_rate: 0.274752 loss_vfl: 0.868619 loss_bbox: 0.313639 loss_dfl: 0.198144 loss: 1.365953 eta: 2 days, 14:47:40 batch_cost: 2.2704 data_cost: 0.0012 ips: 24.6655 images/s [10/15 15:32:40] ppdet.engine INFO: Epoch: [113] [240/523] learning_rate: 0.274677 loss_vfl: 0.866333 loss_bbox: 0.296109 loss_dfl: 0.190880 loss: 1.369773 eta: 2 days, 14:46:52 batch_cost: 2.2664 data_cost: 0.0012 ips: 24.7086 images/s [10/15 15:33:27] ppdet.engine INFO: Epoch: [113] [260/523] learning_rate: 0.274603 loss_vfl: 0.878310 loss_bbox: 0.294909 loss_dfl: 0.192523 loss: 1.344415 eta: 2 days, 14:46:03 batch_cost: 2.2179 data_cost: 0.0019 ips: 25.2491 images/s [10/15 15:34:15] ppdet.engine INFO: Epoch: [113] [280/523] learning_rate: 0.274529 loss_vfl: 0.903582 loss_bbox: 0.293156 loss_dfl: 0.186595 loss: 1.379749 eta: 2 days, 14:45:16 batch_cost: 2.3046 data_cost: 0.0012 ips: 24.2994 images/s [10/15 15:35:03] ppdet.engine INFO: Epoch: [113] [300/523] learning_rate: 0.274454 loss_vfl: 0.881972 loss_bbox: 0.304253 loss_dfl: 0.192726 loss: 1.368661 eta: 2 days, 14:44:29 batch_cost: 2.3015 data_cost: 0.0013 ips: 24.3323 images/s [10/15 15:35:52] ppdet.engine INFO: Epoch: [113] [320/523] learning_rate: 0.274380 loss_vfl: 0.862195 loss_bbox: 0.294424 loss_dfl: 0.193674 loss: 1.387561 eta: 2 days, 14:43:43 batch_cost: 2.3288 data_cost: 0.0020 ips: 24.0470 images/s [10/15 15:36:41] ppdet.engine INFO: Epoch: [113] [340/523] learning_rate: 0.274306 loss_vfl: 0.881141 loss_bbox: 0.295132 loss_dfl: 0.192639 loss: 1.353531 eta: 2 days, 14:42:57 batch_cost: 2.3187 data_cost: 0.0012 ips: 24.1515 images/s [10/15 15:37:29] ppdet.engine INFO: Epoch: [113] [360/523] learning_rate: 0.274231 loss_vfl: 0.862932 loss_bbox: 0.305883 loss_dfl: 0.200315 loss: 1.364342 eta: 2 days, 14:42:11 batch_cost: 2.3206 data_cost: 0.0012 ips: 24.1315 images/s [10/15 15:38:18] ppdet.engine INFO: Epoch: [113] [380/523] learning_rate: 0.274157 loss_vfl: 0.884237 loss_bbox: 0.305407 loss_dfl: 0.198844 loss: 1.379514 eta: 2 days, 14:41:25 batch_cost: 2.3235 data_cost: 0.0013 ips: 24.1019 images/s [10/15 15:39:07] ppdet.engine INFO: Epoch: [113] [400/523] learning_rate: 0.274083 loss_vfl: 0.868217 loss_bbox: 0.293038 loss_dfl: 0.191604 loss: 1.341953 eta: 2 days, 14:40:40 batch_cost: 2.3581 data_cost: 0.0013 ips: 23.7482 images/s [10/15 15:39:55] ppdet.engine INFO: Epoch: [113] [420/523] learning_rate: 0.274008 loss_vfl: 0.874158 loss_bbox: 0.298818 loss_dfl: 0.190868 loss: 1.373901 eta: 2 days, 14:39:53 batch_cost: 2.3078 data_cost: 0.0012 ips: 24.2661 images/s [10/15 15:40:43] ppdet.engine INFO: Epoch: [113] [440/523] learning_rate: 0.273934 loss_vfl: 0.869220 loss_bbox: 0.322745 loss_dfl: 0.199758 loss: 1.394383 eta: 2 days, 14:39:06 batch_cost: 2.3033 data_cost: 0.0012 ips: 24.3134 images/s [10/15 15:41:31] ppdet.engine INFO: Epoch: [113] [460/523] learning_rate: 0.273859 loss_vfl: 0.877956 loss_bbox: 0.293898 loss_dfl: 0.192020 loss: 1.382211 eta: 2 days, 14:38:19 batch_cost: 2.2758 data_cost: 0.0013 ips: 24.6063 images/s [10/15 15:42:19] ppdet.engine INFO: Epoch: [113] [480/523] learning_rate: 0.273785 loss_vfl: 0.866203 loss_bbox: 0.314152 loss_dfl: 0.198015 loss: 1.392632 eta: 2 days, 14:37:30 batch_cost: 2.2586 data_cost: 0.0021 ips: 24.7941 images/s [10/15 15:43:07] ppdet.engine INFO: Epoch: [113] [500/523] learning_rate: 0.273711 loss_vfl: 0.879724 loss_bbox: 0.307882 loss_dfl: 0.197493 loss: 1.379433 eta: 2 days, 14:36:43 batch_cost: 2.2926 data_cost: 0.0022 ips: 24.4264 images/s [10/15 15:43:50] ppdet.engine INFO: Epoch: [113] [520/523] learning_rate: 0.273636 loss_vfl: 0.878665 loss_bbox: 0.312398 loss_dfl: 0.201646 loss: 1.398002 eta: 2 days, 14:35:48 batch_cost: 2.0493 data_cost: 0.0012 ips: 27.3262 images/s [10/15 15:44:17] ppdet.engine INFO: Epoch: [114] [ 0/523] learning_rate: 0.273625 loss_vfl: 0.878838 loss_bbox: 0.313016 loss_dfl: 0.200163 loss: 1.398002 eta: 2 days, 14:36:09 batch_cost: 2.8905 data_cost: 0.4845 ips: 19.3741 images/s [10/15 15:45:10] ppdet.engine INFO: Epoch: [114] [ 20/523] learning_rate: 0.273550 loss_vfl: 0.880210 loss_bbox: 0.309110 loss_dfl: 0.199162 loss: 1.348792 eta: 2 days, 14:35:27 batch_cost: 2.4673 data_cost: 0.0013 ips: 22.6965 images/s [10/15 15:46:00] ppdet.engine INFO: Epoch: [114] [ 40/523] learning_rate: 0.273476 loss_vfl: 0.849696 loss_bbox: 0.289851 loss_dfl: 0.184212 loss: 1.327407 eta: 2 days, 14:34:41 batch_cost: 2.3118 data_cost: 0.0015 ips: 24.2235 images/s [10/15 15:46:47] ppdet.engine INFO: Epoch: [114] [ 60/523] learning_rate: 0.273401 loss_vfl: 0.869002 loss_bbox: 0.291468 loss_dfl: 0.191298 loss: 1.352429 eta: 2 days, 14:33:52 batch_cost: 2.2533 data_cost: 0.0013 ips: 24.8522 images/s [10/15 15:47:34] ppdet.engine INFO: Epoch: [114] [ 80/523] learning_rate: 0.273327 loss_vfl: 0.879485 loss_bbox: 0.298605 loss_dfl: 0.193847 loss: 1.382775 eta: 2 days, 14:33:04 batch_cost: 2.2424 data_cost: 0.0013 ips: 24.9728 images/s [10/15 15:48:22] ppdet.engine INFO: Epoch: [114] [100/523] learning_rate: 0.273252 loss_vfl: 0.863864 loss_bbox: 0.335631 loss_dfl: 0.201017 loss: 1.390787 eta: 2 days, 14:32:16 batch_cost: 2.2807 data_cost: 0.0013 ips: 24.5539 images/s [10/15 15:49:10] ppdet.engine INFO: Epoch: [114] [120/523] learning_rate: 0.273178 loss_vfl: 0.874363 loss_bbox: 0.298718 loss_dfl: 0.191102 loss: 1.385211 eta: 2 days, 14:31:29 batch_cost: 2.2873 data_cost: 0.0013 ips: 24.4834 images/s [10/15 15:49:57] ppdet.engine INFO: Epoch: [114] [140/523] learning_rate: 0.273103 loss_vfl: 0.865822 loss_bbox: 0.282299 loss_dfl: 0.187299 loss: 1.340982 eta: 2 days, 14:30:39 batch_cost: 2.2102 data_cost: 0.0012 ips: 25.3373 images/s [10/15 15:50:43] ppdet.engine INFO: Epoch: [114] [160/523] learning_rate: 0.273029 loss_vfl: 0.867362 loss_bbox: 0.295046 loss_dfl: 0.189770 loss: 1.358071 eta: 2 days, 14:29:49 batch_cost: 2.2213 data_cost: 0.0013 ips: 25.2109 images/s [10/15 15:51:31] ppdet.engine INFO: Epoch: [114] [180/523] learning_rate: 0.272954 loss_vfl: 0.878953 loss_bbox: 0.293886 loss_dfl: 0.191718 loss: 1.347977 eta: 2 days, 14:29:02 batch_cost: 2.2782 data_cost: 0.0013 ips: 24.5803 images/s [10/15 15:52:19] ppdet.engine INFO: Epoch: [114] [200/523] learning_rate: 0.272880 loss_vfl: 0.879003 loss_bbox: 0.306896 loss_dfl: 0.194061 loss: 1.375631 eta: 2 days, 14:28:14 batch_cost: 2.2677 data_cost: 0.0012 ips: 24.6951 images/s [10/15 15:53:05] ppdet.engine INFO: Epoch: [114] [220/523] learning_rate: 0.272805 loss_vfl: 0.883455 loss_bbox: 0.281228 loss_dfl: 0.185998 loss: 1.361462 eta: 2 days, 14:27:25 batch_cost: 2.2244 data_cost: 0.0013 ips: 25.1749 images/s [10/15 15:53:54] ppdet.engine INFO: Epoch: [114] [240/523] learning_rate: 0.272730 loss_vfl: 0.887049 loss_bbox: 0.299753 loss_dfl: 0.192938 loss: 1.380627 eta: 2 days, 14:26:37 batch_cost: 2.2891 data_cost: 0.0013 ips: 24.4638 images/s [10/15 15:54:42] ppdet.engine INFO: Epoch: [114] [260/523] learning_rate: 0.272656 loss_vfl: 0.868688 loss_bbox: 0.312468 loss_dfl: 0.194470 loss: 1.363023 eta: 2 days, 14:25:50 batch_cost: 2.2940 data_cost: 0.0013 ips: 24.4119 images/s [10/15 15:55:30] ppdet.engine INFO: Epoch: [114] [280/523] learning_rate: 0.272581 loss_vfl: 0.886822 loss_bbox: 0.312602 loss_dfl: 0.196501 loss: 1.394473 eta: 2 days, 14:25:03 batch_cost: 2.2766 data_cost: 0.0013 ips: 24.5977 images/s [10/15 15:56:18] ppdet.engine INFO: Epoch: [114] [300/523] learning_rate: 0.272507 loss_vfl: 0.880780 loss_bbox: 0.288210 loss_dfl: 0.187303 loss: 1.350073 eta: 2 days, 14:24:15 batch_cost: 2.2725 data_cost: 0.0014 ips: 24.6424 images/s [10/15 15:57:05] ppdet.engine INFO: Epoch: [114] [320/523] learning_rate: 0.272432 loss_vfl: 0.890814 loss_bbox: 0.297882 loss_dfl: 0.190115 loss: 1.378072 eta: 2 days, 14:23:26 batch_cost: 2.2437 data_cost: 0.0013 ips: 24.9591 images/s [10/15 15:57:53] ppdet.engine INFO: Epoch: [114] [340/523] learning_rate: 0.272357 loss_vfl: 0.869952 loss_bbox: 0.298639 loss_dfl: 0.190403 loss: 1.381223 eta: 2 days, 14:22:39 batch_cost: 2.2768 data_cost: 0.0013 ips: 24.5964 images/s [10/15 15:58:41] ppdet.engine INFO: Epoch: [114] [360/523] learning_rate: 0.272283 loss_vfl: 0.871499 loss_bbox: 0.307516 loss_dfl: 0.197491 loss: 1.385710 eta: 2 days, 14:21:51 batch_cost: 2.2673 data_cost: 0.0013 ips: 24.6985 images/s [10/15 15:59:29] ppdet.engine INFO: Epoch: [114] [380/523] learning_rate: 0.272208 loss_vfl: 0.876692 loss_bbox: 0.296506 loss_dfl: 0.187993 loss: 1.364025 eta: 2 days, 14:21:04 batch_cost: 2.2921 data_cost: 0.0013 ips: 24.4318 images/s [10/15 16:00:17] ppdet.engine INFO: Epoch: [114] [400/523] learning_rate: 0.272133 loss_vfl: 0.866374 loss_bbox: 0.289560 loss_dfl: 0.185686 loss: 1.352076 eta: 2 days, 14:20:16 batch_cost: 2.2718 data_cost: 0.0013 ips: 24.6498 images/s [10/15 16:01:07] ppdet.engine INFO: Epoch: [114] [420/523] learning_rate: 0.272059 loss_vfl: 0.876279 loss_bbox: 0.300811 loss_dfl: 0.192173 loss: 1.379433 eta: 2 days, 14:19:32 batch_cost: 2.3998 data_cost: 0.0013 ips: 23.3350 images/s [10/15 16:01:55] ppdet.engine INFO: Epoch: [114] [440/523] learning_rate: 0.271984 loss_vfl: 0.883446 loss_bbox: 0.316459 loss_dfl: 0.205827 loss: 1.415973 eta: 2 days, 14:18:45 batch_cost: 2.2778 data_cost: 0.0023 ips: 24.5855 images/s [10/15 16:02:42] ppdet.engine INFO: Epoch: [114] [460/523] learning_rate: 0.271909 loss_vfl: 0.896855 loss_bbox: 0.301326 loss_dfl: 0.195648 loss: 1.388288 eta: 2 days, 14:17:57 batch_cost: 2.2692 data_cost: 0.0015 ips: 24.6785 images/s [10/15 16:03:30] ppdet.engine INFO: Epoch: [114] [480/523] learning_rate: 0.271834 loss_vfl: 0.869873 loss_bbox: 0.315698 loss_dfl: 0.203434 loss: 1.376584 eta: 2 days, 14:17:09 batch_cost: 2.2633 data_cost: 0.0013 ips: 24.7428 images/s [10/15 16:04:17] ppdet.engine INFO: Epoch: [114] [500/523] learning_rate: 0.271760 loss_vfl: 0.875459 loss_bbox: 0.311290 loss_dfl: 0.202520 loss: 1.369936 eta: 2 days, 14:16:21 batch_cost: 2.2819 data_cost: 0.0014 ips: 24.5406 images/s [10/15 16:05:00] ppdet.engine INFO: Epoch: [114] [520/523] learning_rate: 0.271685 loss_vfl: 0.884251 loss_bbox: 0.295387 loss_dfl: 0.185206 loss: 1.388527 eta: 2 days, 14:15:26 batch_cost: 2.0387 data_cost: 0.0012 ips: 27.4682 images/s [10/15 16:05:27] ppdet.engine INFO: Epoch: [115] [ 0/523] learning_rate: 0.271674 loss_vfl: 0.884039 loss_bbox: 0.299075 loss_dfl: 0.189832 loss: 1.388527 eta: 2 days, 14:15:44 batch_cost: 2.8148 data_cost: 0.5175 ips: 19.8948 images/s [10/15 16:06:19] ppdet.engine INFO: Epoch: [115] [ 20/523] learning_rate: 0.271599 loss_vfl: 0.873111 loss_bbox: 0.306865 loss_dfl: 0.195763 loss: 1.390607 eta: 2 days, 14:15:03 batch_cost: 2.4685 data_cost: 0.0014 ips: 22.6862 images/s [10/15 16:07:07] ppdet.engine INFO: Epoch: [115] [ 40/523] learning_rate: 0.271524 loss_vfl: 0.869535 loss_bbox: 0.298927 loss_dfl: 0.195374 loss: 1.363903 eta: 2 days, 14:14:16 batch_cost: 2.3005 data_cost: 0.0014 ips: 24.3423 images/s [10/15 16:07:56] ppdet.engine INFO: Epoch: [115] [ 60/523] learning_rate: 0.271449 loss_vfl: 0.867737 loss_bbox: 0.302450 loss_dfl: 0.200760 loss: 1.360988 eta: 2 days, 14:13:30 batch_cost: 2.3177 data_cost: 0.0012 ips: 24.1621 images/s [10/15 16:08:43] ppdet.engine INFO: Epoch: [115] [ 80/523] learning_rate: 0.271374 loss_vfl: 0.877563 loss_bbox: 0.265307 loss_dfl: 0.178002 loss: 1.334341 eta: 2 days, 14:12:41 batch_cost: 2.2556 data_cost: 0.0012 ips: 24.8271 images/s [10/15 16:09:32] ppdet.engine INFO: Epoch: [115] [100/523] learning_rate: 0.271300 loss_vfl: 0.865816 loss_bbox: 0.294048 loss_dfl: 0.185265 loss: 1.349164 eta: 2 days, 14:11:56 batch_cost: 2.3446 data_cost: 0.0012 ips: 23.8849 images/s [10/15 16:10:19] ppdet.engine INFO: Epoch: [115] [120/523] learning_rate: 0.271225 loss_vfl: 0.873281 loss_bbox: 0.292891 loss_dfl: 0.189575 loss: 1.388062 eta: 2 days, 14:11:08 batch_cost: 2.2616 data_cost: 0.0012 ips: 24.7615 images/s [10/15 16:11:06] ppdet.engine INFO: Epoch: [115] [140/523] learning_rate: 0.271150 loss_vfl: 0.874692 loss_bbox: 0.302896 loss_dfl: 0.194783 loss: 1.376619 eta: 2 days, 14:10:19 batch_cost: 2.2327 data_cost: 0.0012 ips: 25.0816 images/s [10/15 16:11:54] ppdet.engine INFO: Epoch: [115] [160/523] learning_rate: 0.271075 loss_vfl: 0.887360 loss_bbox: 0.300953 loss_dfl: 0.199058 loss: 1.363006 eta: 2 days, 14:09:31 batch_cost: 2.2801 data_cost: 0.0012 ips: 24.5608 images/s [10/15 16:12:42] ppdet.engine INFO: Epoch: [115] [180/523] learning_rate: 0.271000 loss_vfl: 0.877264 loss_bbox: 0.312387 loss_dfl: 0.196057 loss: 1.379990 eta: 2 days, 14:08:43 batch_cost: 2.2586 data_cost: 0.0013 ips: 24.7945 images/s [10/15 16:13:30] ppdet.engine INFO: Epoch: [115] [200/523] learning_rate: 0.270925 loss_vfl: 0.882013 loss_bbox: 0.296302 loss_dfl: 0.196166 loss: 1.381977 eta: 2 days, 14:07:56 batch_cost: 2.2838 data_cost: 0.0012 ips: 24.5208 images/s [10/15 16:14:18] ppdet.engine INFO: Epoch: [115] [220/523] learning_rate: 0.270850 loss_vfl: 0.863275 loss_bbox: 0.288620 loss_dfl: 0.196686 loss: 1.353076 eta: 2 days, 14:07:08 batch_cost: 2.2750 data_cost: 0.0012 ips: 24.6157 images/s [10/15 16:15:05] ppdet.engine INFO: Epoch: [115] [240/523] learning_rate: 0.270776 loss_vfl: 0.864031 loss_bbox: 0.299145 loss_dfl: 0.194781 loss: 1.356314 eta: 2 days, 14:06:18 batch_cost: 2.2125 data_cost: 0.0013 ips: 25.3105 images/s [10/15 16:15:52] ppdet.engine INFO: Epoch: [115] [260/523] learning_rate: 0.270701 loss_vfl: 0.877054 loss_bbox: 0.316171 loss_dfl: 0.194353 loss: 1.387321 eta: 2 days, 14:05:29 batch_cost: 2.2199 data_cost: 0.0012 ips: 25.2268 images/s [10/15 16:16:39] ppdet.engine INFO: Epoch: [115] [280/523] learning_rate: 0.270626 loss_vfl: 0.869010 loss_bbox: 0.291273 loss_dfl: 0.193665 loss: 1.334791 eta: 2 days, 14:04:41 batch_cost: 2.2521 data_cost: 0.0012 ips: 24.8662 images/s [10/15 16:17:25] ppdet.engine INFO: Epoch: [115] [300/523] learning_rate: 0.270551 loss_vfl: 0.873259 loss_bbox: 0.289589 loss_dfl: 0.190190 loss: 1.346800 eta: 2 days, 14:03:51 batch_cost: 2.2144 data_cost: 0.0012 ips: 25.2893 images/s [10/15 16:18:14] ppdet.engine INFO: Epoch: [115] [320/523] learning_rate: 0.270476 loss_vfl: 0.868758 loss_bbox: 0.293545 loss_dfl: 0.195351 loss: 1.344432 eta: 2 days, 14:03:05 batch_cost: 2.3118 data_cost: 0.0014 ips: 24.2235 images/s [10/15 16:19:02] ppdet.engine INFO: Epoch: [115] [340/523] learning_rate: 0.270401 loss_vfl: 0.870315 loss_bbox: 0.309491 loss_dfl: 0.205406 loss: 1.382045 eta: 2 days, 14:02:17 batch_cost: 2.2703 data_cost: 0.0013 ips: 24.6669 images/s [10/15 16:19:49] ppdet.engine INFO: Epoch: [115] [360/523] learning_rate: 0.270326 loss_vfl: 0.867395 loss_bbox: 0.290316 loss_dfl: 0.190379 loss: 1.353021 eta: 2 days, 14:01:29 batch_cost: 2.2722 data_cost: 0.0013 ips: 24.6459 images/s [10/15 16:20:38] ppdet.engine INFO: Epoch: [115] [380/523] learning_rate: 0.270251 loss_vfl: 0.885424 loss_bbox: 0.294105 loss_dfl: 0.190220 loss: 1.369178 eta: 2 days, 14:00:42 batch_cost: 2.2863 data_cost: 0.0012 ips: 24.4934 images/s [10/15 16:21:27] ppdet.engine INFO: Epoch: [115] [400/523] learning_rate: 0.270176 loss_vfl: 0.870790 loss_bbox: 0.285258 loss_dfl: 0.184844 loss: 1.341662 eta: 2 days, 13:59:55 batch_cost: 2.2949 data_cost: 0.0013 ips: 24.4015 images/s [10/15 16:22:14] ppdet.engine INFO: Epoch: [115] [420/523] learning_rate: 0.270101 loss_vfl: 0.877288 loss_bbox: 0.285298 loss_dfl: 0.188518 loss: 1.391709 eta: 2 days, 13:59:06 batch_cost: 2.2309 data_cost: 0.0013 ips: 25.1020 images/s [10/15 16:23:00] ppdet.engine INFO: Epoch: [115] [440/523] learning_rate: 0.270026 loss_vfl: 0.888320 loss_bbox: 0.292200 loss_dfl: 0.191891 loss: 1.361217 eta: 2 days, 13:58:16 batch_cost: 2.2223 data_cost: 0.0012 ips: 25.1986 images/s [10/15 16:23:48] ppdet.engine INFO: Epoch: [115] [460/523] learning_rate: 0.269951 loss_vfl: 0.867957 loss_bbox: 0.281710 loss_dfl: 0.184882 loss: 1.337753 eta: 2 days, 13:57:27 batch_cost: 2.2335 data_cost: 0.0013 ips: 25.0732 images/s [10/15 16:24:36] ppdet.engine INFO: Epoch: [115] [480/523] learning_rate: 0.269876 loss_vfl: 0.860708 loss_bbox: 0.292218 loss_dfl: 0.191684 loss: 1.363808 eta: 2 days, 13:56:40 batch_cost: 2.2860 data_cost: 0.0019 ips: 24.4972 images/s [10/15 16:25:24] ppdet.engine INFO: Epoch: [115] [500/523] learning_rate: 0.269801 loss_vfl: 0.880748 loss_bbox: 0.311760 loss_dfl: 0.191637 loss: 1.373683 eta: 2 days, 13:55:54 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1260 images/s [10/15 16:26:07] ppdet.engine INFO: Epoch: [115] [520/523] learning_rate: 0.269726 loss_vfl: 0.878580 loss_bbox: 0.315377 loss_dfl: 0.202960 loss: 1.406396 eta: 2 days, 13:54:59 batch_cost: 2.0481 data_cost: 0.0013 ips: 27.3423 images/s [10/15 16:26:36] ppdet.engine INFO: Epoch: [116] [ 0/523] learning_rate: 0.269714 loss_vfl: 0.876530 loss_bbox: 0.313156 loss_dfl: 0.202410 loss: 1.397864 eta: 2 days, 13:55:21 batch_cost: 2.9516 data_cost: 0.3701 ips: 18.9726 images/s [10/15 16:27:27] ppdet.engine INFO: Epoch: [116] [ 20/523] learning_rate: 0.269639 loss_vfl: 0.876970 loss_bbox: 0.302102 loss_dfl: 0.197781 loss: 1.364742 eta: 2 days, 13:54:39 batch_cost: 2.4804 data_cost: 0.0014 ips: 22.5773 images/s [10/15 16:28:16] ppdet.engine INFO: Epoch: [116] [ 40/523] learning_rate: 0.269564 loss_vfl: 0.868734 loss_bbox: 0.297382 loss_dfl: 0.194026 loss: 1.347185 eta: 2 days, 13:53:54 batch_cost: 2.3456 data_cost: 0.0013 ips: 23.8740 images/s [10/15 16:29:05] ppdet.engine INFO: Epoch: [116] [ 60/523] learning_rate: 0.269489 loss_vfl: 0.844351 loss_bbox: 0.289544 loss_dfl: 0.187373 loss: 1.353603 eta: 2 days, 13:53:08 batch_cost: 2.3162 data_cost: 0.0014 ips: 24.1772 images/s [10/15 16:29:53] ppdet.engine INFO: Epoch: [116] [ 80/523] learning_rate: 0.269414 loss_vfl: 0.873478 loss_bbox: 0.312430 loss_dfl: 0.201725 loss: 1.384243 eta: 2 days, 13:52:22 batch_cost: 2.3215 data_cost: 0.0013 ips: 24.1222 images/s [10/15 16:30:41] ppdet.engine INFO: Epoch: [116] [100/523] learning_rate: 0.269339 loss_vfl: 0.878538 loss_bbox: 0.321099 loss_dfl: 0.204072 loss: 1.405998 eta: 2 days, 13:51:33 batch_cost: 2.2488 data_cost: 0.0012 ips: 24.9025 images/s [10/15 16:31:28] ppdet.engine INFO: Epoch: [116] [120/523] learning_rate: 0.269264 loss_vfl: 0.877031 loss_bbox: 0.303914 loss_dfl: 0.196094 loss: 1.361209 eta: 2 days, 13:50:45 batch_cost: 2.2653 data_cost: 0.0012 ips: 24.7206 images/s [10/15 16:32:16] ppdet.engine INFO: Epoch: [116] [140/523] learning_rate: 0.269189 loss_vfl: 0.874205 loss_bbox: 0.293008 loss_dfl: 0.189330 loss: 1.363509 eta: 2 days, 13:49:58 batch_cost: 2.2775 data_cost: 0.0013 ips: 24.5882 images/s [10/15 16:33:04] ppdet.engine INFO: Epoch: [116] [160/523] learning_rate: 0.269114 loss_vfl: 0.873728 loss_bbox: 0.288629 loss_dfl: 0.192880 loss: 1.359205 eta: 2 days, 13:49:10 batch_cost: 2.2710 data_cost: 0.0012 ips: 24.6585 images/s [10/15 16:33:52] ppdet.engine INFO: Epoch: [116] [180/523] learning_rate: 0.269038 loss_vfl: 0.865390 loss_bbox: 0.315528 loss_dfl: 0.202211 loss: 1.366453 eta: 2 days, 13:48:23 batch_cost: 2.2948 data_cost: 0.0014 ips: 24.4031 images/s [10/15 16:34:41] ppdet.engine INFO: Epoch: [116] [200/523] learning_rate: 0.268963 loss_vfl: 0.883166 loss_bbox: 0.306158 loss_dfl: 0.195918 loss: 1.383440 eta: 2 days, 13:47:37 batch_cost: 2.3466 data_cost: 0.0013 ips: 23.8640 images/s [10/15 16:35:32] ppdet.engine INFO: Epoch: [116] [220/523] learning_rate: 0.268888 loss_vfl: 0.906345 loss_bbox: 0.305891 loss_dfl: 0.194489 loss: 1.424012 eta: 2 days, 13:46:54 batch_cost: 2.4205 data_cost: 0.0020 ips: 23.1355 images/s [10/15 16:36:19] ppdet.engine INFO: Epoch: [116] [240/523] learning_rate: 0.268813 loss_vfl: 0.865524 loss_bbox: 0.289346 loss_dfl: 0.189433 loss: 1.333380 eta: 2 days, 13:46:06 batch_cost: 2.2616 data_cost: 0.0013 ips: 24.7609 images/s [10/15 16:37:06] ppdet.engine INFO: Epoch: [116] [260/523] learning_rate: 0.268738 loss_vfl: 0.897031 loss_bbox: 0.291485 loss_dfl: 0.193604 loss: 1.378337 eta: 2 days, 13:45:17 batch_cost: 2.2178 data_cost: 0.0014 ips: 25.2499 images/s [10/15 16:37:54] ppdet.engine INFO: Epoch: [116] [280/523] learning_rate: 0.268662 loss_vfl: 0.897937 loss_bbox: 0.292904 loss_dfl: 0.192436 loss: 1.395439 eta: 2 days, 13:44:30 batch_cost: 2.2973 data_cost: 0.0013 ips: 24.3760 images/s [10/15 16:38:41] ppdet.engine INFO: Epoch: [116] [300/523] learning_rate: 0.268587 loss_vfl: 0.868985 loss_bbox: 0.312924 loss_dfl: 0.200013 loss: 1.391713 eta: 2 days, 13:43:40 batch_cost: 2.2092 data_cost: 0.0013 ips: 25.3481 images/s [10/15 16:39:29] ppdet.engine INFO: Epoch: [116] [320/523] learning_rate: 0.268512 loss_vfl: 0.882012 loss_bbox: 0.279132 loss_dfl: 0.182743 loss: 1.365020 eta: 2 days, 13:42:52 batch_cost: 2.2660 data_cost: 0.0013 ips: 24.7129 images/s [10/15 16:40:16] ppdet.engine INFO: Epoch: [116] [340/523] learning_rate: 0.268437 loss_vfl: 0.887403 loss_bbox: 0.294665 loss_dfl: 0.190725 loss: 1.395424 eta: 2 days, 13:42:05 batch_cost: 2.2819 data_cost: 0.0013 ips: 24.5412 images/s [10/15 16:41:03] ppdet.engine INFO: Epoch: [116] [360/523] learning_rate: 0.268361 loss_vfl: 0.889066 loss_bbox: 0.290446 loss_dfl: 0.189261 loss: 1.382181 eta: 2 days, 13:41:15 batch_cost: 2.2041 data_cost: 0.0013 ips: 25.4076 images/s [10/15 16:41:51] ppdet.engine INFO: Epoch: [116] [380/523] learning_rate: 0.268286 loss_vfl: 0.878388 loss_bbox: 0.301916 loss_dfl: 0.194625 loss: 1.392598 eta: 2 days, 13:40:28 batch_cost: 2.2872 data_cost: 0.0012 ips: 24.4845 images/s [10/15 16:42:39] ppdet.engine INFO: Epoch: [116] [400/523] learning_rate: 0.268211 loss_vfl: 0.843875 loss_bbox: 0.294855 loss_dfl: 0.194956 loss: 1.350896 eta: 2 days, 13:39:41 batch_cost: 2.2991 data_cost: 0.0013 ips: 24.3574 images/s [10/15 16:43:25] ppdet.engine INFO: Epoch: [116] [420/523] learning_rate: 0.268136 loss_vfl: 0.845293 loss_bbox: 0.294708 loss_dfl: 0.195458 loss: 1.342636 eta: 2 days, 13:38:52 batch_cost: 2.2203 data_cost: 0.0012 ips: 25.2220 images/s [10/15 16:44:13] ppdet.engine INFO: Epoch: [116] [440/523] learning_rate: 0.268060 loss_vfl: 0.882653 loss_bbox: 0.294920 loss_dfl: 0.192082 loss: 1.364224 eta: 2 days, 13:38:03 batch_cost: 2.2551 data_cost: 0.0013 ips: 24.8325 images/s [10/15 16:45:00] ppdet.engine INFO: Epoch: [116] [460/523] learning_rate: 0.267985 loss_vfl: 0.880401 loss_bbox: 0.289230 loss_dfl: 0.194076 loss: 1.362672 eta: 2 days, 13:37:14 batch_cost: 2.2256 data_cost: 0.0013 ips: 25.1618 images/s [10/15 16:45:47] ppdet.engine INFO: Epoch: [116] [480/523] learning_rate: 0.267910 loss_vfl: 0.844776 loss_bbox: 0.287378 loss_dfl: 0.187657 loss: 1.321193 eta: 2 days, 13:36:26 batch_cost: 2.2653 data_cost: 0.0012 ips: 24.7209 images/s [10/15 16:46:35] ppdet.engine INFO: Epoch: [116] [500/523] learning_rate: 0.267834 loss_vfl: 0.880364 loss_bbox: 0.278286 loss_dfl: 0.189171 loss: 1.343211 eta: 2 days, 13:35:38 batch_cost: 2.2679 data_cost: 0.0012 ips: 24.6929 images/s [10/15 16:47:18] ppdet.engine INFO: Epoch: [116] [520/523] learning_rate: 0.267759 loss_vfl: 0.870085 loss_bbox: 0.297724 loss_dfl: 0.190789 loss: 1.383867 eta: 2 days, 13:34:44 batch_cost: 2.0454 data_cost: 0.0013 ips: 27.3786 images/s [10/15 16:47:44] ppdet.engine INFO: Epoch: [117] [ 0/523] learning_rate: 0.267748 loss_vfl: 0.870085 loss_bbox: 0.289294 loss_dfl: 0.187877 loss: 1.372278 eta: 2 days, 13:35:01 batch_cost: 2.8089 data_cost: 0.6491 ips: 19.9366 images/s [10/15 16:48:37] ppdet.engine INFO: Epoch: [117] [ 20/523] learning_rate: 0.267672 loss_vfl: 0.858901 loss_bbox: 0.318685 loss_dfl: 0.197128 loss: 1.390193 eta: 2 days, 13:34:21 batch_cost: 2.5485 data_cost: 0.0017 ips: 21.9736 images/s [10/15 16:49:26] ppdet.engine INFO: Epoch: [117] [ 40/523] learning_rate: 0.267597 loss_vfl: 0.858589 loss_bbox: 0.293829 loss_dfl: 0.189499 loss: 1.342911 eta: 2 days, 13:33:34 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4047 images/s [10/15 16:50:13] ppdet.engine INFO: Epoch: [117] [ 60/523] learning_rate: 0.267521 loss_vfl: 0.862317 loss_bbox: 0.312989 loss_dfl: 0.197668 loss: 1.381827 eta: 2 days, 13:32:46 batch_cost: 2.2619 data_cost: 0.0013 ips: 24.7578 images/s [10/15 16:51:00] ppdet.engine INFO: Epoch: [117] [ 80/523] learning_rate: 0.267446 loss_vfl: 0.860272 loss_bbox: 0.301392 loss_dfl: 0.191271 loss: 1.341497 eta: 2 days, 13:31:58 batch_cost: 2.2374 data_cost: 0.0014 ips: 25.0293 images/s [10/15 16:51:48] ppdet.engine INFO: Epoch: [117] [100/523] learning_rate: 0.267371 loss_vfl: 0.884301 loss_bbox: 0.276572 loss_dfl: 0.179932 loss: 1.398965 eta: 2 days, 13:31:10 batch_cost: 2.2764 data_cost: 0.0013 ips: 24.6005 images/s [10/15 16:52:37] ppdet.engine INFO: Epoch: [117] [120/523] learning_rate: 0.267295 loss_vfl: 0.875547 loss_bbox: 0.287546 loss_dfl: 0.182466 loss: 1.360355 eta: 2 days, 13:30:24 batch_cost: 2.3391 data_cost: 0.0012 ips: 23.9411 images/s [10/15 16:53:24] ppdet.engine INFO: Epoch: [117] [140/523] learning_rate: 0.267220 loss_vfl: 0.863910 loss_bbox: 0.298832 loss_dfl: 0.192459 loss: 1.358893 eta: 2 days, 13:29:36 batch_cost: 2.2372 data_cost: 0.0013 ips: 25.0309 images/s [10/15 16:54:12] ppdet.engine INFO: Epoch: [117] [160/523] learning_rate: 0.267144 loss_vfl: 0.871842 loss_bbox: 0.296302 loss_dfl: 0.191988 loss: 1.392868 eta: 2 days, 13:28:48 batch_cost: 2.2769 data_cost: 0.0019 ips: 24.5952 images/s [10/15 16:54:59] ppdet.engine INFO: Epoch: [117] [180/523] learning_rate: 0.267069 loss_vfl: 0.890243 loss_bbox: 0.295761 loss_dfl: 0.181756 loss: 1.380700 eta: 2 days, 13:28:00 batch_cost: 2.2676 data_cost: 0.0022 ips: 24.6954 images/s [10/15 16:55:48] ppdet.engine INFO: Epoch: [117] [200/523] learning_rate: 0.266993 loss_vfl: 0.873167 loss_bbox: 0.282100 loss_dfl: 0.183948 loss: 1.352538 eta: 2 days, 13:27:14 batch_cost: 2.3322 data_cost: 0.0012 ips: 24.0112 images/s [10/15 16:56:36] ppdet.engine INFO: Epoch: [117] [220/523] learning_rate: 0.266918 loss_vfl: 0.882738 loss_bbox: 0.311561 loss_dfl: 0.194730 loss: 1.385107 eta: 2 days, 13:26:29 batch_cost: 2.3356 data_cost: 0.0012 ips: 23.9766 images/s [10/15 16:57:26] ppdet.engine INFO: Epoch: [117] [240/523] learning_rate: 0.266843 loss_vfl: 0.873748 loss_bbox: 0.282065 loss_dfl: 0.186383 loss: 1.345073 eta: 2 days, 13:25:44 batch_cost: 2.3586 data_cost: 0.0013 ips: 23.7431 images/s [10/15 16:58:16] ppdet.engine INFO: Epoch: [117] [260/523] learning_rate: 0.266767 loss_vfl: 0.883250 loss_bbox: 0.310460 loss_dfl: 0.193120 loss: 1.376361 eta: 2 days, 13:24:59 batch_cost: 2.3835 data_cost: 0.0013 ips: 23.4946 images/s [10/15 16:59:05] ppdet.engine INFO: Epoch: [117] [280/523] learning_rate: 0.266692 loss_vfl: 0.893587 loss_bbox: 0.284264 loss_dfl: 0.183686 loss: 1.359100 eta: 2 days, 13:24:13 batch_cost: 2.3269 data_cost: 0.0012 ips: 24.0661 images/s [10/15 16:59:54] ppdet.engine INFO: Epoch: [117] [300/523] learning_rate: 0.266616 loss_vfl: 0.874403 loss_bbox: 0.286076 loss_dfl: 0.183487 loss: 1.338826 eta: 2 days, 13:23:29 batch_cost: 2.3839 data_cost: 0.0026 ips: 23.4908 images/s [10/15 17:00:42] ppdet.engine INFO: Epoch: [117] [320/523] learning_rate: 0.266540 loss_vfl: 0.876293 loss_bbox: 0.287109 loss_dfl: 0.194558 loss: 1.365239 eta: 2 days, 13:22:41 batch_cost: 2.2510 data_cost: 0.0012 ips: 24.8775 images/s [10/15 17:01:29] ppdet.engine INFO: Epoch: [117] [340/523] learning_rate: 0.266465 loss_vfl: 0.881093 loss_bbox: 0.296713 loss_dfl: 0.195745 loss: 1.381302 eta: 2 days, 13:21:53 batch_cost: 2.2774 data_cost: 0.0012 ips: 24.5895 images/s [10/15 17:02:17] ppdet.engine INFO: Epoch: [117] [360/523] learning_rate: 0.266389 loss_vfl: 0.875845 loss_bbox: 0.291191 loss_dfl: 0.192654 loss: 1.363234 eta: 2 days, 13:21:06 batch_cost: 2.2917 data_cost: 0.0013 ips: 24.4355 images/s [10/15 17:03:05] ppdet.engine INFO: Epoch: [117] [380/523] learning_rate: 0.266314 loss_vfl: 0.865483 loss_bbox: 0.301824 loss_dfl: 0.191191 loss: 1.354342 eta: 2 days, 13:20:18 batch_cost: 2.2495 data_cost: 0.0025 ips: 24.8943 images/s [10/15 17:03:52] ppdet.engine INFO: Epoch: [117] [400/523] learning_rate: 0.266238 loss_vfl: 0.878038 loss_bbox: 0.311508 loss_dfl: 0.202957 loss: 1.379856 eta: 2 days, 13:19:30 batch_cost: 2.2756 data_cost: 0.0014 ips: 24.6090 images/s [10/15 17:04:39] ppdet.engine INFO: Epoch: [117] [420/523] learning_rate: 0.266163 loss_vfl: 0.873434 loss_bbox: 0.313396 loss_dfl: 0.203180 loss: 1.394899 eta: 2 days, 13:18:41 batch_cost: 2.2102 data_cost: 0.0012 ips: 25.3375 images/s [10/15 17:05:26] ppdet.engine INFO: Epoch: [117] [440/523] learning_rate: 0.266087 loss_vfl: 0.893237 loss_bbox: 0.294837 loss_dfl: 0.189920 loss: 1.368514 eta: 2 days, 13:17:52 batch_cost: 2.2549 data_cost: 0.0012 ips: 24.8351 images/s [10/15 17:06:15] ppdet.engine INFO: Epoch: [117] [460/523] learning_rate: 0.266012 loss_vfl: 0.880550 loss_bbox: 0.285337 loss_dfl: 0.186017 loss: 1.371266 eta: 2 days, 13:17:06 batch_cost: 2.3155 data_cost: 0.0012 ips: 24.1847 images/s [10/15 17:07:03] ppdet.engine INFO: Epoch: [117] [480/523] learning_rate: 0.265936 loss_vfl: 0.864247 loss_bbox: 0.285830 loss_dfl: 0.185391 loss: 1.349416 eta: 2 days, 13:16:20 batch_cost: 2.3141 data_cost: 0.0012 ips: 24.1993 images/s [10/15 17:07:51] ppdet.engine INFO: Epoch: [117] [500/523] learning_rate: 0.265860 loss_vfl: 0.869871 loss_bbox: 0.286646 loss_dfl: 0.191721 loss: 1.377284 eta: 2 days, 13:15:32 batch_cost: 2.2657 data_cost: 0.0025 ips: 24.7167 images/s [10/15 17:08:33] ppdet.engine INFO: Epoch: [117] [520/523] learning_rate: 0.265785 loss_vfl: 0.883001 loss_bbox: 0.278748 loss_dfl: 0.193682 loss: 1.357845 eta: 2 days, 13:14:37 batch_cost: 2.0415 data_cost: 0.0012 ips: 27.4303 images/s [10/15 17:09:06] ppdet.engine INFO: Epoch: [118] [ 0/523] learning_rate: 0.265773 loss_vfl: 0.880400 loss_bbox: 0.282282 loss_dfl: 0.191383 loss: 1.355827 eta: 2 days, 13:15:04 batch_cost: 3.1575 data_cost: 0.8916 ips: 17.7357 images/s [10/15 17:09:56] ppdet.engine INFO: Epoch: [118] [ 20/523] learning_rate: 0.265698 loss_vfl: 0.870133 loss_bbox: 0.283908 loss_dfl: 0.192744 loss: 1.356741 eta: 2 days, 13:14:20 batch_cost: 2.3863 data_cost: 0.0015 ips: 23.4670 images/s [10/15 17:10:45] ppdet.engine INFO: Epoch: [118] [ 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loss_bbox: 0.276120 loss_dfl: 0.182815 loss: 1.348547 eta: 2 days, 13:10:27 batch_cost: 2.3023 data_cost: 0.0026 ips: 24.3236 images/s [10/15 17:14:46] ppdet.engine INFO: Epoch: [118] [140/523] learning_rate: 0.265244 loss_vfl: 0.859924 loss_bbox: 0.287033 loss_dfl: 0.192027 loss: 1.362305 eta: 2 days, 13:09:39 batch_cost: 2.2907 data_cost: 0.0014 ips: 24.4462 images/s [10/15 17:15:34] ppdet.engine INFO: Epoch: [118] [160/523] learning_rate: 0.265168 loss_vfl: 0.875674 loss_bbox: 0.286972 loss_dfl: 0.187791 loss: 1.349216 eta: 2 days, 13:08:51 batch_cost: 2.2520 data_cost: 0.0013 ips: 24.8670 images/s [10/15 17:16:22] ppdet.engine INFO: Epoch: [118] [180/523] learning_rate: 0.265092 loss_vfl: 0.882933 loss_bbox: 0.273841 loss_dfl: 0.183479 loss: 1.364472 eta: 2 days, 13:08:04 batch_cost: 2.3024 data_cost: 0.0012 ips: 24.3225 images/s [10/15 17:17:10] ppdet.engine INFO: Epoch: [118] [200/523] learning_rate: 0.265016 loss_vfl: 0.866568 loss_bbox: 0.290716 loss_dfl: 0.188348 loss: 1.344798 eta: 2 days, 13:07:17 batch_cost: 2.2930 data_cost: 0.0013 ips: 24.4220 images/s [10/15 17:17:57] ppdet.engine INFO: Epoch: [118] [220/523] learning_rate: 0.264941 loss_vfl: 0.869263 loss_bbox: 0.290054 loss_dfl: 0.186248 loss: 1.341895 eta: 2 days, 13:06:30 batch_cost: 2.2734 data_cost: 0.0013 ips: 24.6324 images/s [10/15 17:18:44] ppdet.engine INFO: Epoch: [118] [240/523] learning_rate: 0.264865 loss_vfl: 0.869326 loss_bbox: 0.284145 loss_dfl: 0.190898 loss: 1.330782 eta: 2 days, 13:05:42 batch_cost: 2.2566 data_cost: 0.0013 ips: 24.8165 images/s [10/15 17:19:32] ppdet.engine INFO: Epoch: [118] [260/523] learning_rate: 0.264789 loss_vfl: 0.869459 loss_bbox: 0.298250 loss_dfl: 0.194599 loss: 1.367478 eta: 2 days, 13:04:55 batch_cost: 2.2970 data_cost: 0.0012 ips: 24.3800 images/s [10/15 17:20:21] ppdet.engine INFO: Epoch: [118] [280/523] learning_rate: 0.264713 loss_vfl: 0.863662 loss_bbox: 0.294507 loss_dfl: 0.199003 loss: 1.350642 eta: 2 days, 13:04:08 batch_cost: 2.3224 data_cost: 0.0013 ips: 24.1132 images/s [10/15 17:21:10] ppdet.engine INFO: Epoch: [118] [300/523] learning_rate: 0.264638 loss_vfl: 0.871975 loss_bbox: 0.309506 loss_dfl: 0.193248 loss: 1.383783 eta: 2 days, 13:03:23 batch_cost: 2.3333 data_cost: 0.0013 ips: 24.0008 images/s [10/15 17:22:00] ppdet.engine INFO: Epoch: [118] [320/523] learning_rate: 0.264562 loss_vfl: 0.875975 loss_bbox: 0.305143 loss_dfl: 0.200642 loss: 1.387177 eta: 2 days, 13:02:38 batch_cost: 2.3785 data_cost: 0.0013 ips: 23.5440 images/s [10/15 17:22:47] ppdet.engine INFO: Epoch: [118] [340/523] learning_rate: 0.264486 loss_vfl: 0.861893 loss_bbox: 0.279439 loss_dfl: 0.182217 loss: 1.331371 eta: 2 days, 13:01:50 batch_cost: 2.2652 data_cost: 0.0013 ips: 24.7216 images/s [10/15 17:23:35] ppdet.engine INFO: Epoch: [118] [360/523] learning_rate: 0.264410 loss_vfl: 0.867414 loss_bbox: 0.294290 loss_dfl: 0.191758 loss: 1.350569 eta: 2 days, 13:01:03 batch_cost: 2.2768 data_cost: 0.0012 ips: 24.5956 images/s [10/15 17:24:23] ppdet.engine INFO: Epoch: [118] [380/523] learning_rate: 0.264334 loss_vfl: 0.884196 loss_bbox: 0.282914 loss_dfl: 0.188452 loss: 1.355867 eta: 2 days, 13:00:15 batch_cost: 2.2840 data_cost: 0.0012 ips: 24.5182 images/s [10/15 17:25:09] ppdet.engine INFO: Epoch: [118] [400/523] learning_rate: 0.264259 loss_vfl: 0.862505 loss_bbox: 0.311839 loss_dfl: 0.193208 loss: 1.373610 eta: 2 days, 12:59:26 batch_cost: 2.2007 data_cost: 0.0013 ips: 25.4463 images/s [10/15 17:25:56] ppdet.engine INFO: Epoch: [118] [420/523] learning_rate: 0.264183 loss_vfl: 0.870860 loss_bbox: 0.311522 loss_dfl: 0.196628 loss: 1.379175 eta: 2 days, 12:58:38 batch_cost: 2.2695 data_cost: 0.0014 ips: 24.6752 images/s [10/15 17:26:45] ppdet.engine INFO: Epoch: [118] [440/523] learning_rate: 0.264107 loss_vfl: 0.875728 loss_bbox: 0.318483 loss_dfl: 0.203556 loss: 1.385979 eta: 2 days, 12:57:52 batch_cost: 2.3252 data_cost: 0.0013 ips: 24.0841 images/s [10/15 17:27:33] ppdet.engine INFO: Epoch: [118] [460/523] learning_rate: 0.264031 loss_vfl: 0.871934 loss_bbox: 0.299860 loss_dfl: 0.192630 loss: 1.388177 eta: 2 days, 12:57:05 batch_cost: 2.2977 data_cost: 0.0015 ips: 24.3726 images/s [10/15 17:28:22] ppdet.engine INFO: Epoch: [118] [480/523] learning_rate: 0.263955 loss_vfl: 0.872158 loss_bbox: 0.317608 loss_dfl: 0.204394 loss: 1.390379 eta: 2 days, 12:56:19 batch_cost: 2.3383 data_cost: 0.0012 ips: 23.9493 images/s [10/15 17:29:11] ppdet.engine INFO: Epoch: [118] [500/523] learning_rate: 0.263879 loss_vfl: 0.873478 loss_bbox: 0.302690 loss_dfl: 0.195560 loss: 1.365194 eta: 2 days, 12:55:33 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1263 images/s [10/15 17:29:53] ppdet.engine INFO: Epoch: [118] [520/523] learning_rate: 0.263803 loss_vfl: 0.881339 loss_bbox: 0.287575 loss_dfl: 0.185436 loss: 1.356169 eta: 2 days, 12:54:37 batch_cost: 1.9939 data_cost: 0.0012 ips: 28.0861 images/s [10/15 17:30:21] ppdet.engine INFO: Epoch: [119] [ 0/523] learning_rate: 0.263792 loss_vfl: 0.876105 loss_bbox: 0.283408 loss_dfl: 0.178011 loss: 1.346681 eta: 2 days, 12:54:56 batch_cost: 2.8670 data_cost: 0.6252 ips: 19.5327 images/s [10/15 17:31:12] ppdet.engine INFO: Epoch: [119] [ 20/523] learning_rate: 0.263716 loss_vfl: 0.866393 loss_bbox: 0.301591 loss_dfl: 0.195796 loss: 1.401266 eta: 2 days, 12:54:13 batch_cost: 2.3999 data_cost: 0.0012 ips: 23.3338 images/s [10/15 17:32:01] ppdet.engine INFO: Epoch: [119] [ 40/523] learning_rate: 0.263640 loss_vfl: 0.883096 loss_bbox: 0.307911 loss_dfl: 0.199117 loss: 1.408529 eta: 2 days, 12:53:27 batch_cost: 2.3558 data_cost: 0.0012 ips: 23.7716 images/s [10/15 17:32:50] ppdet.engine INFO: Epoch: [119] [ 60/523] learning_rate: 0.263564 loss_vfl: 0.872152 loss_bbox: 0.299920 loss_dfl: 0.187737 loss: 1.360228 eta: 2 days, 12:52:42 batch_cost: 2.3375 data_cost: 0.0013 ips: 23.9573 images/s [10/15 17:33:40] ppdet.engine INFO: Epoch: [119] [ 80/523] learning_rate: 0.263488 loss_vfl: 0.860614 loss_bbox: 0.286752 loss_dfl: 0.183232 loss: 1.326651 eta: 2 days, 12:51:57 batch_cost: 2.3575 data_cost: 0.0013 ips: 23.7543 images/s [10/15 17:34:28] ppdet.engine INFO: Epoch: [119] [100/523] learning_rate: 0.263412 loss_vfl: 0.873831 loss_bbox: 0.295109 loss_dfl: 0.192457 loss: 1.356762 eta: 2 days, 12:51:10 batch_cost: 2.3043 data_cost: 0.0013 ips: 24.3027 images/s [10/15 17:35:17] ppdet.engine INFO: Epoch: [119] [120/523] learning_rate: 0.263336 loss_vfl: 0.876262 loss_bbox: 0.300965 loss_dfl: 0.194105 loss: 1.348239 eta: 2 days, 12:50:23 batch_cost: 2.3038 data_cost: 0.0023 ips: 24.3076 images/s [10/15 17:36:04] ppdet.engine INFO: Epoch: [119] [140/523] learning_rate: 0.263260 loss_vfl: 0.865845 loss_bbox: 0.298357 loss_dfl: 0.196631 loss: 1.359046 eta: 2 days, 12:49:35 batch_cost: 2.2401 data_cost: 0.0012 ips: 24.9989 images/s [10/15 17:36:52] ppdet.engine INFO: Epoch: [119] [160/523] learning_rate: 0.263184 loss_vfl: 0.853173 loss_bbox: 0.286555 loss_dfl: 0.189687 loss: 1.339008 eta: 2 days, 12:48:47 batch_cost: 2.2770 data_cost: 0.0023 ips: 24.5938 images/s [10/15 17:37:40] ppdet.engine INFO: Epoch: [119] [180/523] learning_rate: 0.263108 loss_vfl: 0.877593 loss_bbox: 0.289945 loss_dfl: 0.187497 loss: 1.339859 eta: 2 days, 12:48:00 batch_cost: 2.3102 data_cost: 0.0013 ips: 24.2408 images/s [10/15 17:38:28] ppdet.engine INFO: Epoch: [119] [200/523] learning_rate: 0.263032 loss_vfl: 0.871185 loss_bbox: 0.313981 loss_dfl: 0.197380 loss: 1.397305 eta: 2 days, 12:47:13 batch_cost: 2.2675 data_cost: 0.0014 ips: 24.6964 images/s [10/15 17:39:15] ppdet.engine INFO: Epoch: [119] [220/523] learning_rate: 0.262956 loss_vfl: 0.853999 loss_bbox: 0.301036 loss_dfl: 0.197980 loss: 1.373652 eta: 2 days, 12:46:23 batch_cost: 2.2101 data_cost: 0.0014 ips: 25.3385 images/s [10/15 17:40:03] ppdet.engine INFO: Epoch: [119] [240/523] learning_rate: 0.262880 loss_vfl: 0.854386 loss_bbox: 0.312436 loss_dfl: 0.199205 loss: 1.352314 eta: 2 days, 12:45:35 batch_cost: 2.2488 data_cost: 0.0012 ips: 24.9026 images/s [10/15 17:40:51] ppdet.engine INFO: Epoch: [119] [260/523] learning_rate: 0.262804 loss_vfl: 0.877990 loss_bbox: 0.298613 loss_dfl: 0.192042 loss: 1.365044 eta: 2 days, 12:44:49 batch_cost: 2.3249 data_cost: 0.0015 ips: 24.0868 images/s [10/15 17:41:40] ppdet.engine INFO: Epoch: [119] [280/523] learning_rate: 0.262728 loss_vfl: 0.875391 loss_bbox: 0.309113 loss_dfl: 0.193251 loss: 1.370065 eta: 2 days, 12:44:02 batch_cost: 2.2985 data_cost: 0.0014 ips: 24.3633 images/s [10/15 17:42:28] ppdet.engine INFO: Epoch: [119] [300/523] learning_rate: 0.262652 loss_vfl: 0.870865 loss_bbox: 0.282948 loss_dfl: 0.193592 loss: 1.345246 eta: 2 days, 12:43:15 batch_cost: 2.2988 data_cost: 0.0014 ips: 24.3602 images/s [10/15 17:43:17] ppdet.engine INFO: Epoch: [119] [320/523] learning_rate: 0.262576 loss_vfl: 0.874643 loss_bbox: 0.274672 loss_dfl: 0.186535 loss: 1.337385 eta: 2 days, 12:42:28 batch_cost: 2.2926 data_cost: 0.0014 ips: 24.4265 images/s [10/15 17:44:06] ppdet.engine INFO: Epoch: [119] [340/523] learning_rate: 0.262500 loss_vfl: 0.852956 loss_bbox: 0.312016 loss_dfl: 0.205371 loss: 1.382674 eta: 2 days, 12:41:43 batch_cost: 2.3714 data_cost: 0.0027 ips: 23.6144 images/s [10/15 17:44:56] ppdet.engine INFO: Epoch: [119] [360/523] learning_rate: 0.262424 loss_vfl: 0.864390 loss_bbox: 0.290384 loss_dfl: 0.190495 loss: 1.347805 eta: 2 days, 12:40:59 batch_cost: 2.3719 data_cost: 0.0026 ips: 23.6094 images/s [10/15 17:45:43] ppdet.engine INFO: Epoch: [119] [380/523] learning_rate: 0.262348 loss_vfl: 0.876526 loss_bbox: 0.291421 loss_dfl: 0.187958 loss: 1.356085 eta: 2 days, 12:40:10 batch_cost: 2.2590 data_cost: 0.0013 ips: 24.7902 images/s [10/15 17:46:31] ppdet.engine INFO: Epoch: [119] [400/523] learning_rate: 0.262272 loss_vfl: 0.893891 loss_bbox: 0.301360 loss_dfl: 0.200549 loss: 1.386253 eta: 2 days, 12:39:22 batch_cost: 2.2419 data_cost: 0.0012 ips: 24.9788 images/s [10/15 17:47:18] ppdet.engine INFO: Epoch: [119] [420/523] learning_rate: 0.262196 loss_vfl: 0.847725 loss_bbox: 0.306519 loss_dfl: 0.198410 loss: 1.366052 eta: 2 days, 12:38:34 batch_cost: 2.2507 data_cost: 0.0013 ips: 24.8817 images/s [10/15 17:48:06] ppdet.engine INFO: Epoch: [119] [440/523] learning_rate: 0.262119 loss_vfl: 0.861631 loss_bbox: 0.299673 loss_dfl: 0.194878 loss: 1.353344 eta: 2 days, 12:37:47 batch_cost: 2.2967 data_cost: 0.0013 ips: 24.3826 images/s [10/15 17:48:53] ppdet.engine INFO: Epoch: [119] [460/523] learning_rate: 0.262043 loss_vfl: 0.878798 loss_bbox: 0.314172 loss_dfl: 0.197858 loss: 1.384947 eta: 2 days, 12:36:59 batch_cost: 2.2617 data_cost: 0.0013 ips: 24.7605 images/s [10/15 17:49:40] ppdet.engine INFO: Epoch: [119] [480/523] learning_rate: 0.261967 loss_vfl: 0.882216 loss_bbox: 0.320801 loss_dfl: 0.197296 loss: 1.381359 eta: 2 days, 12:36:09 batch_cost: 2.2209 data_cost: 0.0013 ips: 25.2150 images/s [10/15 17:50:27] ppdet.engine INFO: Epoch: [119] [500/523] learning_rate: 0.261891 loss_vfl: 0.876757 loss_bbox: 0.300598 loss_dfl: 0.193244 loss: 1.376346 eta: 2 days, 12:35:20 batch_cost: 2.2262 data_cost: 0.0019 ips: 25.1552 images/s [10/15 17:51:09] ppdet.engine INFO: Epoch: [119] [520/523] learning_rate: 0.261815 loss_vfl: 0.881080 loss_bbox: 0.303030 loss_dfl: 0.193489 loss: 1.398809 eta: 2 days, 12:34:25 batch_cost: 2.0067 data_cost: 0.0012 ips: 27.9071 images/s [10/15 17:51:17] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 17:51:18] ppdet.engine INFO: Eval iter: 0 [10/15 17:51:57] ppdet.engine INFO: Eval iter: 100 [10/15 17:52:16] ppdet.engine INFO: Eval iter: 200 [10/15 17:52:36] ppdet.engine INFO: Eval iter: 300 [10/15 17:52:56] ppdet.engine INFO: Eval iter: 400 [10/15 17:53:15] ppdet.engine INFO: Eval iter: 500 [10/15 17:53:34] ppdet.engine INFO: Eval iter: 600 [10/15 17:53:55] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/15 17:53:55] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.39s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.82s). Accumulating evaluation results... DONE (t=17.94s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.341 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.496 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.361 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.136 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.369 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.543 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 ] = 0.470 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 ] = 0.229 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 ] = 0.736 [10/15 17:56:01] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.93158009077029 [10/15 17:56:01] ppdet.engine INFO: Best test bbox ap is 0.341. [10/15 17:56:01] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 17:56:03] ppdet.engine INFO: Epoch: [120] [ 0/523] learning_rate: 0.261803 loss_vfl: 0.886234 loss_bbox: 0.301803 loss_dfl: 0.195479 loss: 1.398809 eta: 2 days, 12:34:15 batch_cost: 1.9120 data_cost: 0.0013 ips: 29.2885 images/s [10/15 17:56:53] ppdet.engine INFO: Epoch: [120] [ 20/523] learning_rate: 0.261727 loss_vfl: 0.882686 loss_bbox: 0.294473 loss_dfl: 0.191070 loss: 1.376887 eta: 2 days, 12:33:30 batch_cost: 2.3456 data_cost: 0.0014 ips: 23.8750 images/s [10/15 17:57:41] ppdet.engine INFO: Epoch: [120] [ 40/523] learning_rate: 0.261651 loss_vfl: 0.862624 loss_bbox: 0.283818 loss_dfl: 0.186400 loss: 1.345276 eta: 2 days, 12:32:43 batch_cost: 2.3036 data_cost: 0.0013 ips: 24.3098 images/s [10/15 17:58:29] ppdet.engine INFO: Epoch: [120] [ 60/523] learning_rate: 0.261575 loss_vfl: 0.858537 loss_bbox: 0.299599 loss_dfl: 0.198616 loss: 1.362821 eta: 2 days, 12:31:56 batch_cost: 2.2693 data_cost: 0.0012 ips: 24.6771 images/s [10/15 17:59:15] ppdet.engine INFO: Epoch: [120] [ 80/523] learning_rate: 0.261499 loss_vfl: 0.871409 loss_bbox: 0.292464 loss_dfl: 0.192016 loss: 1.348446 eta: 2 days, 12:31:07 batch_cost: 2.2297 data_cost: 0.0012 ips: 25.1151 images/s [10/15 18:00:03] ppdet.engine INFO: Epoch: [120] [100/523] learning_rate: 0.261422 loss_vfl: 0.844290 loss_bbox: 0.284416 loss_dfl: 0.188312 loss: 1.328906 eta: 2 days, 12:30:19 batch_cost: 2.2822 data_cost: 0.0014 ips: 24.5375 images/s [10/15 18:00:50] ppdet.engine INFO: Epoch: [120] [120/523] learning_rate: 0.261346 loss_vfl: 0.859100 loss_bbox: 0.311531 loss_dfl: 0.202360 loss: 1.369112 eta: 2 days, 12:29:31 batch_cost: 2.2537 data_cost: 0.0023 ips: 24.8478 images/s [10/15 18:01:38] ppdet.engine INFO: Epoch: [120] [140/523] learning_rate: 0.261270 loss_vfl: 0.860594 loss_bbox: 0.330243 loss_dfl: 0.204339 loss: 1.394179 eta: 2 days, 12:28:44 batch_cost: 2.2749 data_cost: 0.0012 ips: 24.6164 images/s [10/15 18:02:25] ppdet.engine INFO: Epoch: [120] [160/523] learning_rate: 0.261194 loss_vfl: 0.876226 loss_bbox: 0.284393 loss_dfl: 0.191127 loss: 1.357247 eta: 2 days, 12:27:55 batch_cost: 2.2261 data_cost: 0.0012 ips: 25.1558 images/s [10/15 18:03:14] ppdet.engine INFO: Epoch: [120] [180/523] learning_rate: 0.261117 loss_vfl: 0.862202 loss_bbox: 0.313208 loss_dfl: 0.203230 loss: 1.369471 eta: 2 days, 12:27:08 batch_cost: 2.3124 data_cost: 0.0012 ips: 24.2175 images/s [10/15 18:04:01] ppdet.engine INFO: Epoch: [120] [200/523] learning_rate: 0.261041 loss_vfl: 0.865137 loss_bbox: 0.316274 loss_dfl: 0.193227 loss: 1.372374 eta: 2 days, 12:26:19 batch_cost: 2.2209 data_cost: 0.0013 ips: 25.2154 images/s [10/15 18:04:48] ppdet.engine INFO: Epoch: [120] [220/523] learning_rate: 0.260965 loss_vfl: 0.874862 loss_bbox: 0.299832 loss_dfl: 0.188730 loss: 1.366492 eta: 2 days, 12:25:30 batch_cost: 2.2451 data_cost: 0.0012 ips: 24.9434 images/s [10/15 18:05:36] ppdet.engine INFO: Epoch: [120] [240/523] learning_rate: 0.260889 loss_vfl: 0.868422 loss_bbox: 0.316179 loss_dfl: 0.196445 loss: 1.376741 eta: 2 days, 12:24:43 batch_cost: 2.2737 data_cost: 0.0012 ips: 24.6293 images/s [10/15 18:06:24] ppdet.engine INFO: Epoch: [120] [260/523] learning_rate: 0.260812 loss_vfl: 0.856346 loss_bbox: 0.301153 loss_dfl: 0.188252 loss: 1.371771 eta: 2 days, 12:23:56 batch_cost: 2.3038 data_cost: 0.0012 ips: 24.3074 images/s [10/15 18:07:12] ppdet.engine INFO: Epoch: [120] [280/523] learning_rate: 0.260736 loss_vfl: 0.865490 loss_bbox: 0.311012 loss_dfl: 0.198310 loss: 1.405124 eta: 2 days, 12:23:09 batch_cost: 2.2744 data_cost: 0.0012 ips: 24.6217 images/s [10/15 18:07:59] ppdet.engine INFO: Epoch: [120] [300/523] learning_rate: 0.260660 loss_vfl: 0.867279 loss_bbox: 0.297989 loss_dfl: 0.192278 loss: 1.361966 eta: 2 days, 12:22:20 batch_cost: 2.2474 data_cost: 0.0012 ips: 24.9175 images/s [10/15 18:08:48] ppdet.engine INFO: Epoch: [120] [320/523] learning_rate: 0.260583 loss_vfl: 0.873472 loss_bbox: 0.288594 loss_dfl: 0.186957 loss: 1.331693 eta: 2 days, 12:21:34 batch_cost: 2.3109 data_cost: 0.0013 ips: 24.2327 images/s [10/15 18:09:36] ppdet.engine INFO: Epoch: [120] [340/523] learning_rate: 0.260507 loss_vfl: 0.857965 loss_bbox: 0.291734 loss_dfl: 0.187026 loss: 1.340098 eta: 2 days, 12:20:46 batch_cost: 2.2728 data_cost: 0.0013 ips: 24.6395 images/s [10/15 18:10:23] ppdet.engine INFO: Epoch: [120] [360/523] learning_rate: 0.260431 loss_vfl: 0.866262 loss_bbox: 0.299287 loss_dfl: 0.188439 loss: 1.364260 eta: 2 days, 12:19:58 batch_cost: 2.2474 data_cost: 0.0012 ips: 24.9181 images/s [10/15 18:11:10] ppdet.engine INFO: Epoch: [120] [380/523] learning_rate: 0.260354 loss_vfl: 0.849567 loss_bbox: 0.298579 loss_dfl: 0.195976 loss: 1.358296 eta: 2 days, 12:19:09 batch_cost: 2.2390 data_cost: 0.0013 ips: 25.0113 images/s [10/15 18:11:58] ppdet.engine INFO: Epoch: [120] [400/523] learning_rate: 0.260278 loss_vfl: 0.878950 loss_bbox: 0.292284 loss_dfl: 0.188343 loss: 1.363131 eta: 2 days, 12:18:22 batch_cost: 2.2711 data_cost: 0.0012 ips: 24.6577 images/s [10/15 18:12:47] ppdet.engine INFO: Epoch: [120] [420/523] learning_rate: 0.260202 loss_vfl: 0.870091 loss_bbox: 0.300368 loss_dfl: 0.195886 loss: 1.366971 eta: 2 days, 12:17:35 batch_cost: 2.3138 data_cost: 0.0013 ips: 24.2023 images/s [10/15 18:13:34] ppdet.engine INFO: Epoch: [120] [440/523] learning_rate: 0.260125 loss_vfl: 0.878146 loss_bbox: 0.300985 loss_dfl: 0.199407 loss: 1.371548 eta: 2 days, 12:16:48 batch_cost: 2.2955 data_cost: 0.0012 ips: 24.3960 images/s [10/15 18:14:21] ppdet.engine INFO: Epoch: [120] [460/523] learning_rate: 0.260049 loss_vfl: 0.871983 loss_bbox: 0.277593 loss_dfl: 0.191439 loss: 1.342935 eta: 2 days, 12:15:59 batch_cost: 2.2104 data_cost: 0.0013 ips: 25.3353 images/s [10/15 18:15:08] ppdet.engine INFO: Epoch: [120] [480/523] learning_rate: 0.259972 loss_vfl: 0.857973 loss_bbox: 0.317225 loss_dfl: 0.198201 loss: 1.368503 eta: 2 days, 12:15:10 batch_cost: 2.2489 data_cost: 0.0013 ips: 24.9015 images/s [10/15 18:15:57] ppdet.engine INFO: Epoch: [120] [500/523] learning_rate: 0.259896 loss_vfl: 0.894016 loss_bbox: 0.294076 loss_dfl: 0.188011 loss: 1.380367 eta: 2 days, 12:14:25 batch_cost: 2.3563 data_cost: 0.0013 ips: 23.7656 images/s [10/15 18:16:39] ppdet.engine INFO: Epoch: [120] [520/523] learning_rate: 0.259820 loss_vfl: 0.871582 loss_bbox: 0.284569 loss_dfl: 0.192888 loss: 1.364712 eta: 2 days, 12:13:29 batch_cost: 1.9676 data_cost: 0.0012 ips: 28.4608 images/s [10/15 18:17:06] ppdet.engine INFO: Epoch: [121] [ 0/523] learning_rate: 0.259808 loss_vfl: 0.873876 loss_bbox: 0.293683 loss_dfl: 0.194582 loss: 1.370401 eta: 2 days, 12:13:46 batch_cost: 2.7817 data_cost: 0.5034 ips: 20.1313 images/s [10/15 18:17:56] ppdet.engine INFO: Epoch: [121] [ 20/523] learning_rate: 0.259732 loss_vfl: 0.857334 loss_bbox: 0.291714 loss_dfl: 0.188479 loss: 1.365838 eta: 2 days, 12:13:02 batch_cost: 2.4073 data_cost: 0.0018 ips: 23.2626 images/s [10/15 18:18:44] ppdet.engine INFO: Epoch: [121] [ 40/523] learning_rate: 0.259655 loss_vfl: 0.875008 loss_bbox: 0.304786 loss_dfl: 0.189264 loss: 1.357130 eta: 2 days, 12:12:15 batch_cost: 2.3029 data_cost: 0.0023 ips: 24.3169 images/s [10/15 18:19:33] ppdet.engine INFO: Epoch: [121] [ 60/523] learning_rate: 0.259579 loss_vfl: 0.872785 loss_bbox: 0.302260 loss_dfl: 0.196876 loss: 1.369864 eta: 2 days, 12:11:29 batch_cost: 2.3281 data_cost: 0.0027 ips: 24.0544 images/s [10/15 18:20:20] ppdet.engine INFO: Epoch: [121] [ 80/523] learning_rate: 0.259502 loss_vfl: 0.853076 loss_bbox: 0.289444 loss_dfl: 0.186110 loss: 1.328916 eta: 2 days, 12:10:41 batch_cost: 2.2342 data_cost: 0.0013 ips: 25.0650 images/s [10/15 18:21:07] ppdet.engine INFO: Epoch: [121] [100/523] learning_rate: 0.259426 loss_vfl: 0.855347 loss_bbox: 0.281343 loss_dfl: 0.182957 loss: 1.332442 eta: 2 days, 12:09:52 batch_cost: 2.2396 data_cost: 0.0014 ips: 25.0046 images/s [10/15 18:21:55] ppdet.engine INFO: Epoch: [121] [120/523] learning_rate: 0.259349 loss_vfl: 0.871612 loss_bbox: 0.304650 loss_dfl: 0.190463 loss: 1.373685 eta: 2 days, 12:09:05 batch_cost: 2.2985 data_cost: 0.0013 ips: 24.3642 images/s [10/15 18:22:43] ppdet.engine INFO: Epoch: [121] [140/523] learning_rate: 0.259273 loss_vfl: 0.859934 loss_bbox: 0.283205 loss_dfl: 0.185881 loss: 1.343257 eta: 2 days, 12:08:17 batch_cost: 2.2661 data_cost: 0.0019 ips: 24.7125 images/s [10/15 18:23:31] ppdet.engine INFO: Epoch: [121] [160/523] learning_rate: 0.259196 loss_vfl: 0.866883 loss_bbox: 0.314165 loss_dfl: 0.200369 loss: 1.379725 eta: 2 days, 12:07:29 batch_cost: 2.2522 data_cost: 0.0013 ips: 24.8651 images/s [10/15 18:24:18] ppdet.engine INFO: Epoch: [121] [180/523] learning_rate: 0.259120 loss_vfl: 0.874200 loss_bbox: 0.295029 loss_dfl: 0.189232 loss: 1.368731 eta: 2 days, 12:06:42 batch_cost: 2.2769 data_cost: 0.0012 ips: 24.5949 images/s [10/15 18:25:06] ppdet.engine INFO: Epoch: [121] [200/523] learning_rate: 0.259043 loss_vfl: 0.859209 loss_bbox: 0.302248 loss_dfl: 0.196620 loss: 1.383441 eta: 2 days, 12:05:54 batch_cost: 2.2729 data_cost: 0.0013 ips: 24.6381 images/s [10/15 18:25:54] ppdet.engine INFO: Epoch: [121] [220/523] learning_rate: 0.258967 loss_vfl: 0.850896 loss_bbox: 0.272041 loss_dfl: 0.184127 loss: 1.307256 eta: 2 days, 12:05:06 batch_cost: 2.2557 data_cost: 0.0013 ips: 24.8258 images/s [10/15 18:26:41] ppdet.engine INFO: Epoch: [121] [240/523] learning_rate: 0.258890 loss_vfl: 0.862822 loss_bbox: 0.289906 loss_dfl: 0.187316 loss: 1.346205 eta: 2 days, 12:04:18 batch_cost: 2.2659 data_cost: 0.0014 ips: 24.7143 images/s [10/15 18:27:29] ppdet.engine INFO: Epoch: [121] [260/523] learning_rate: 0.258814 loss_vfl: 0.888923 loss_bbox: 0.280543 loss_dfl: 0.183609 loss: 1.381257 eta: 2 days, 12:03:31 batch_cost: 2.2778 data_cost: 0.0013 ips: 24.5852 images/s [10/15 18:28:18] ppdet.engine INFO: Epoch: [121] [280/523] learning_rate: 0.258737 loss_vfl: 0.871665 loss_bbox: 0.295462 loss_dfl: 0.195902 loss: 1.369601 eta: 2 days, 12:02:45 batch_cost: 2.3233 data_cost: 0.0012 ips: 24.1038 images/s [10/15 18:29:06] ppdet.engine INFO: Epoch: [121] [300/523] learning_rate: 0.258661 loss_vfl: 0.865797 loss_bbox: 0.291643 loss_dfl: 0.192728 loss: 1.383033 eta: 2 days, 12:01:58 batch_cost: 2.3040 data_cost: 0.0012 ips: 24.3061 images/s [10/15 18:29:53] ppdet.engine INFO: Epoch: [121] [320/523] learning_rate: 0.258584 loss_vfl: 0.877709 loss_bbox: 0.318868 loss_dfl: 0.201495 loss: 1.393176 eta: 2 days, 12:01:09 batch_cost: 2.2336 data_cost: 0.0016 ips: 25.0713 images/s [10/15 18:30:42] ppdet.engine INFO: Epoch: [121] [340/523] learning_rate: 0.258508 loss_vfl: 0.872154 loss_bbox: 0.297195 loss_dfl: 0.186205 loss: 1.364480 eta: 2 days, 12:00:22 batch_cost: 2.2808 data_cost: 0.0013 ips: 24.5528 images/s [10/15 18:31:30] ppdet.engine INFO: Epoch: [121] [360/523] learning_rate: 0.258431 loss_vfl: 0.873575 loss_bbox: 0.298137 loss_dfl: 0.198728 loss: 1.391174 eta: 2 days, 11:59:35 batch_cost: 2.2831 data_cost: 0.0013 ips: 24.5282 images/s [10/15 18:32:17] ppdet.engine INFO: Epoch: [121] [380/523] learning_rate: 0.258354 loss_vfl: 0.877163 loss_bbox: 0.310302 loss_dfl: 0.198959 loss: 1.379818 eta: 2 days, 11:58:47 batch_cost: 2.2685 data_cost: 0.0064 ips: 24.6855 images/s [10/15 18:33:05] ppdet.engine INFO: Epoch: [121] [400/523] learning_rate: 0.258278 loss_vfl: 0.882392 loss_bbox: 0.280803 loss_dfl: 0.183648 loss: 1.330000 eta: 2 days, 11:57:59 batch_cost: 2.2664 data_cost: 0.0013 ips: 24.7087 images/s [10/15 18:33:52] ppdet.engine INFO: Epoch: [121] [420/523] learning_rate: 0.258201 loss_vfl: 0.874329 loss_bbox: 0.286320 loss_dfl: 0.188886 loss: 1.331089 eta: 2 days, 11:57:12 batch_cost: 2.2722 data_cost: 0.0013 ips: 24.6452 images/s [10/15 18:34:41] ppdet.engine INFO: Epoch: [121] [440/523] learning_rate: 0.258124 loss_vfl: 0.891847 loss_bbox: 0.326875 loss_dfl: 0.202493 loss: 1.413988 eta: 2 days, 11:56:25 batch_cost: 2.2991 data_cost: 0.0013 ips: 24.3576 images/s [10/15 18:35:28] ppdet.engine INFO: Epoch: [121] [460/523] learning_rate: 0.258048 loss_vfl: 0.867539 loss_bbox: 0.297023 loss_dfl: 0.186035 loss: 1.329271 eta: 2 days, 11:55:37 batch_cost: 2.2610 data_cost: 0.0013 ips: 24.7680 images/s [10/15 18:36:18] ppdet.engine INFO: Epoch: [121] [480/523] learning_rate: 0.257971 loss_vfl: 0.869068 loss_bbox: 0.298781 loss_dfl: 0.191523 loss: 1.346678 eta: 2 days, 11:54:51 batch_cost: 2.3348 data_cost: 0.0013 ips: 23.9853 images/s [10/15 18:37:05] ppdet.engine INFO: Epoch: [121] [500/523] learning_rate: 0.257895 loss_vfl: 0.884298 loss_bbox: 0.289414 loss_dfl: 0.187850 loss: 1.355282 eta: 2 days, 11:54:03 batch_cost: 2.2536 data_cost: 0.0012 ips: 24.8495 images/s [10/15 18:37:46] ppdet.engine INFO: Epoch: [121] [520/523] learning_rate: 0.257818 loss_vfl: 0.870536 loss_bbox: 0.285840 loss_dfl: 0.188961 loss: 1.336536 eta: 2 days, 11:53:06 batch_cost: 1.9666 data_cost: 0.0012 ips: 28.4759 images/s [10/15 18:38:14] ppdet.engine INFO: Epoch: [122] [ 0/523] learning_rate: 0.257806 loss_vfl: 0.870056 loss_bbox: 0.279063 loss_dfl: 0.185575 loss: 1.326496 eta: 2 days, 11:53:24 batch_cost: 2.8193 data_cost: 0.6410 ips: 19.8628 images/s [10/15 18:39:05] ppdet.engine INFO: Epoch: [122] [ 20/523] learning_rate: 0.257730 loss_vfl: 0.881644 loss_bbox: 0.318089 loss_dfl: 0.196653 loss: 1.411494 eta: 2 days, 11:52:40 batch_cost: 2.4159 data_cost: 0.0013 ips: 23.1793 images/s [10/15 18:39:54] ppdet.engine INFO: Epoch: [122] [ 40/523] learning_rate: 0.257653 loss_vfl: 0.886904 loss_bbox: 0.289667 loss_dfl: 0.188172 loss: 1.377835 eta: 2 days, 11:51:54 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1269 images/s [10/15 18:40:43] ppdet.engine INFO: Epoch: [122] [ 60/523] learning_rate: 0.257576 loss_vfl: 0.873228 loss_bbox: 0.288900 loss_dfl: 0.183786 loss: 1.344492 eta: 2 days, 11:51:08 batch_cost: 2.3332 data_cost: 0.0013 ips: 24.0009 images/s [10/15 18:41:31] ppdet.engine INFO: Epoch: [122] [ 80/523] learning_rate: 0.257500 loss_vfl: 0.866436 loss_bbox: 0.284111 loss_dfl: 0.182570 loss: 1.351270 eta: 2 days, 11:50:21 batch_cost: 2.2827 data_cost: 0.0013 ips: 24.5324 images/s [10/15 18:42:19] ppdet.engine INFO: Epoch: [122] [100/523] learning_rate: 0.257423 loss_vfl: 0.874480 loss_bbox: 0.287883 loss_dfl: 0.186680 loss: 1.342419 eta: 2 days, 11:49:34 batch_cost: 2.2784 data_cost: 0.0012 ips: 24.5784 images/s [10/15 18:43:07] ppdet.engine INFO: Epoch: [122] [120/523] learning_rate: 0.257346 loss_vfl: 0.870316 loss_bbox: 0.295009 loss_dfl: 0.192637 loss: 1.345297 eta: 2 days, 11:48:46 batch_cost: 2.2651 data_cost: 0.0012 ips: 24.7234 images/s [10/15 18:43:56] ppdet.engine INFO: Epoch: [122] [140/523] learning_rate: 0.257269 loss_vfl: 0.852922 loss_bbox: 0.294205 loss_dfl: 0.188095 loss: 1.358256 eta: 2 days, 11:48:00 batch_cost: 2.3303 data_cost: 0.0013 ips: 24.0315 images/s [10/15 18:44:43] ppdet.engine INFO: Epoch: [122] [160/523] learning_rate: 0.257193 loss_vfl: 0.864573 loss_bbox: 0.300756 loss_dfl: 0.195747 loss: 1.361659 eta: 2 days, 11:47:13 batch_cost: 2.2813 data_cost: 0.0013 ips: 24.5471 images/s [10/15 18:45:31] ppdet.engine INFO: Epoch: [122] [180/523] learning_rate: 0.257116 loss_vfl: 0.852835 loss_bbox: 0.329953 loss_dfl: 0.200810 loss: 1.371104 eta: 2 days, 11:46:25 batch_cost: 2.2851 data_cost: 0.0013 ips: 24.5061 images/s [10/15 18:46:18] ppdet.engine INFO: Epoch: [122] [200/523] learning_rate: 0.257039 loss_vfl: 0.863197 loss_bbox: 0.305530 loss_dfl: 0.193160 loss: 1.367013 eta: 2 days, 11:45:37 batch_cost: 2.2372 data_cost: 0.0013 ips: 25.0314 images/s [10/15 18:47:06] ppdet.engine INFO: Epoch: [122] [220/523] learning_rate: 0.256962 loss_vfl: 0.873905 loss_bbox: 0.302958 loss_dfl: 0.192640 loss: 1.370106 eta: 2 days, 11:44:48 batch_cost: 2.2364 data_cost: 0.0013 ips: 25.0406 images/s [10/15 18:47:53] ppdet.engine INFO: Epoch: [122] [240/523] learning_rate: 0.256886 loss_vfl: 0.868109 loss_bbox: 0.305820 loss_dfl: 0.197351 loss: 1.376274 eta: 2 days, 11:44:00 batch_cost: 2.2712 data_cost: 0.0012 ips: 24.6569 images/s [10/15 18:48:41] ppdet.engine INFO: Epoch: [122] [260/523] learning_rate: 0.256809 loss_vfl: 0.858879 loss_bbox: 0.292135 loss_dfl: 0.189994 loss: 1.339480 eta: 2 days, 11:43:12 batch_cost: 2.2480 data_cost: 0.0013 ips: 24.9111 images/s [10/15 18:49:29] ppdet.engine INFO: Epoch: [122] [280/523] learning_rate: 0.256732 loss_vfl: 0.855415 loss_bbox: 0.315715 loss_dfl: 0.197974 loss: 1.376526 eta: 2 days, 11:42:25 batch_cost: 2.3002 data_cost: 0.0012 ips: 24.3455 images/s [10/15 18:50:17] ppdet.engine INFO: Epoch: [122] [300/523] learning_rate: 0.256655 loss_vfl: 0.867365 loss_bbox: 0.311250 loss_dfl: 0.201156 loss: 1.390700 eta: 2 days, 11:41:38 batch_cost: 2.2771 data_cost: 0.0012 ips: 24.5922 images/s [10/15 18:51:04] ppdet.engine INFO: Epoch: [122] [320/523] learning_rate: 0.256578 loss_vfl: 0.887280 loss_bbox: 0.297303 loss_dfl: 0.189700 loss: 1.359630 eta: 2 days, 11:40:50 batch_cost: 2.2663 data_cost: 0.0012 ips: 24.7101 images/s [10/15 18:51:51] ppdet.engine INFO: Epoch: [122] [340/523] learning_rate: 0.256502 loss_vfl: 0.868662 loss_bbox: 0.294166 loss_dfl: 0.197060 loss: 1.354085 eta: 2 days, 11:40:02 batch_cost: 2.2421 data_cost: 0.0014 ips: 24.9765 images/s [10/15 18:52:40] ppdet.engine INFO: Epoch: [122] [360/523] learning_rate: 0.256425 loss_vfl: 0.865988 loss_bbox: 0.306676 loss_dfl: 0.193849 loss: 1.365565 eta: 2 days, 11:39:16 batch_cost: 2.3332 data_cost: 0.0056 ips: 24.0011 images/s [10/15 18:53:30] ppdet.engine INFO: Epoch: [122] [380/523] learning_rate: 0.256348 loss_vfl: 0.864029 loss_bbox: 0.298598 loss_dfl: 0.189879 loss: 1.372774 eta: 2 days, 11:38:31 batch_cost: 2.3585 data_cost: 0.0026 ips: 23.7438 images/s [10/15 18:54:17] ppdet.engine INFO: Epoch: [122] [400/523] learning_rate: 0.256271 loss_vfl: 0.870773 loss_bbox: 0.291052 loss_dfl: 0.189749 loss: 1.344671 eta: 2 days, 11:37:41 batch_cost: 2.2017 data_cost: 0.0013 ips: 25.4351 images/s [10/15 18:55:04] ppdet.engine INFO: Epoch: [122] [420/523] learning_rate: 0.256194 loss_vfl: 0.895138 loss_bbox: 0.295072 loss_dfl: 0.188056 loss: 1.358056 eta: 2 days, 11:36:53 batch_cost: 2.2603 data_cost: 0.0013 ips: 24.7752 images/s [10/15 18:55:52] ppdet.engine INFO: Epoch: [122] [440/523] learning_rate: 0.256117 loss_vfl: 0.889557 loss_bbox: 0.298191 loss_dfl: 0.188117 loss: 1.371433 eta: 2 days, 11:36:06 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6084 images/s [10/15 18:56:38] ppdet.engine INFO: Epoch: [122] [460/523] learning_rate: 0.256040 loss_vfl: 0.877944 loss_bbox: 0.311637 loss_dfl: 0.203634 loss: 1.395134 eta: 2 days, 11:35:16 batch_cost: 2.1895 data_cost: 0.0012 ips: 25.5770 images/s [10/15 18:57:25] ppdet.engine INFO: Epoch: [122] [480/523] learning_rate: 0.255964 loss_vfl: 0.884922 loss_bbox: 0.270158 loss_dfl: 0.180124 loss: 1.321396 eta: 2 days, 11:34:27 batch_cost: 2.2413 data_cost: 0.0019 ips: 24.9860 images/s [10/15 18:58:13] ppdet.engine INFO: Epoch: [122] [500/523] learning_rate: 0.255887 loss_vfl: 0.870290 loss_bbox: 0.291257 loss_dfl: 0.193761 loss: 1.377327 eta: 2 days, 11:33:39 batch_cost: 2.2391 data_cost: 0.0019 ips: 25.0101 images/s [10/15 18:58:55] ppdet.engine INFO: Epoch: [122] [520/523] learning_rate: 0.255810 loss_vfl: 0.893452 loss_bbox: 0.296363 loss_dfl: 0.190613 loss: 1.374491 eta: 2 days, 11:32:44 batch_cost: 2.0187 data_cost: 0.0012 ips: 27.7402 images/s [10/15 18:59:26] ppdet.engine INFO: Epoch: [123] [ 0/523] learning_rate: 0.255798 loss_vfl: 0.891828 loss_bbox: 0.296473 loss_dfl: 0.191474 loss: 1.364165 eta: 2 days, 11:33:06 batch_cost: 2.9984 data_cost: 0.5129 ips: 18.6768 images/s [10/15 19:00:14] ppdet.engine INFO: Epoch: [123] [ 20/523] learning_rate: 0.255721 loss_vfl: 0.869991 loss_bbox: 0.317423 loss_dfl: 0.198587 loss: 1.370765 eta: 2 days, 11:32:18 batch_cost: 2.2565 data_cost: 0.0013 ips: 24.8170 images/s [10/15 19:01:01] ppdet.engine INFO: Epoch: [123] [ 40/523] learning_rate: 0.255644 loss_vfl: 0.858736 loss_bbox: 0.288918 loss_dfl: 0.187669 loss: 1.336568 eta: 2 days, 11:31:29 batch_cost: 2.2393 data_cost: 0.0013 ips: 25.0078 images/s [10/15 19:01:48] ppdet.engine INFO: Epoch: [123] [ 60/523] learning_rate: 0.255567 loss_vfl: 0.872931 loss_bbox: 0.300423 loss_dfl: 0.188777 loss: 1.376431 eta: 2 days, 11:30:40 batch_cost: 2.2293 data_cost: 0.0014 ips: 25.1195 images/s [10/15 19:02:36] ppdet.engine INFO: Epoch: [123] [ 80/523] learning_rate: 0.255491 loss_vfl: 0.875275 loss_bbox: 0.278986 loss_dfl: 0.181451 loss: 1.341634 eta: 2 days, 11:29:54 batch_cost: 2.3004 data_cost: 0.0012 ips: 24.3431 images/s [10/15 19:03:24] ppdet.engine INFO: Epoch: [123] [100/523] learning_rate: 0.255414 loss_vfl: 0.871389 loss_bbox: 0.292405 loss_dfl: 0.191708 loss: 1.361335 eta: 2 days, 11:29:07 batch_cost: 2.2868 data_cost: 0.0013 ips: 24.4886 images/s [10/15 19:04:12] ppdet.engine INFO: Epoch: [123] [120/523] learning_rate: 0.255337 loss_vfl: 0.855263 loss_bbox: 0.290455 loss_dfl: 0.187805 loss: 1.334941 eta: 2 days, 11:28:19 batch_cost: 2.2771 data_cost: 0.0012 ips: 24.5929 images/s [10/15 19:04:59] ppdet.engine INFO: Epoch: [123] [140/523] learning_rate: 0.255260 loss_vfl: 0.857160 loss_bbox: 0.296404 loss_dfl: 0.196222 loss: 1.339392 eta: 2 days, 11:27:31 batch_cost: 2.2542 data_cost: 0.0013 ips: 24.8423 images/s [10/15 19:05:47] ppdet.engine INFO: Epoch: [123] [160/523] learning_rate: 0.255183 loss_vfl: 0.838340 loss_bbox: 0.309346 loss_dfl: 0.194018 loss: 1.338275 eta: 2 days, 11:26:43 batch_cost: 2.2591 data_cost: 0.0014 ips: 24.7887 images/s [10/15 19:06:33] ppdet.engine INFO: Epoch: [123] [180/523] learning_rate: 0.255106 loss_vfl: 0.869695 loss_bbox: 0.265748 loss_dfl: 0.183034 loss: 1.345122 eta: 2 days, 11:25:53 batch_cost: 2.1893 data_cost: 0.0013 ips: 25.5790 images/s [10/15 19:07:21] ppdet.engine INFO: Epoch: [123] [200/523] learning_rate: 0.255029 loss_vfl: 0.884725 loss_bbox: 0.276428 loss_dfl: 0.183988 loss: 1.354941 eta: 2 days, 11:25:05 batch_cost: 2.2504 data_cost: 0.0014 ips: 24.8845 images/s [10/15 19:08:08] ppdet.engine INFO: Epoch: [123] [220/523] learning_rate: 0.254952 loss_vfl: 0.875393 loss_bbox: 0.290919 loss_dfl: 0.190891 loss: 1.367974 eta: 2 days, 11:24:17 batch_cost: 2.2575 data_cost: 0.0012 ips: 24.8059 images/s [10/15 19:08:55] ppdet.engine INFO: Epoch: [123] [240/523] learning_rate: 0.254875 loss_vfl: 0.871319 loss_bbox: 0.281534 loss_dfl: 0.185153 loss: 1.333694 eta: 2 days, 11:23:28 batch_cost: 2.2145 data_cost: 0.0012 ips: 25.2874 images/s [10/15 19:09:42] ppdet.engine INFO: Epoch: [123] [260/523] learning_rate: 0.254798 loss_vfl: 0.857731 loss_bbox: 0.288409 loss_dfl: 0.188756 loss: 1.327485 eta: 2 days, 11:22:40 batch_cost: 2.2762 data_cost: 0.0012 ips: 24.6029 images/s [10/15 19:10:30] ppdet.engine INFO: Epoch: [123] [280/523] learning_rate: 0.254721 loss_vfl: 0.876042 loss_bbox: 0.288376 loss_dfl: 0.189393 loss: 1.370035 eta: 2 days, 11:21:53 batch_cost: 2.2691 data_cost: 0.0014 ips: 24.6793 images/s [10/15 19:11:19] ppdet.engine INFO: Epoch: [123] [300/523] learning_rate: 0.254644 loss_vfl: 0.878799 loss_bbox: 0.310810 loss_dfl: 0.199116 loss: 1.388881 eta: 2 days, 11:21:07 batch_cost: 2.3265 data_cost: 0.0012 ips: 24.0707 images/s [10/15 19:12:07] ppdet.engine INFO: Epoch: [123] [320/523] learning_rate: 0.254567 loss_vfl: 0.873435 loss_bbox: 0.297561 loss_dfl: 0.194516 loss: 1.350338 eta: 2 days, 11:20:19 batch_cost: 2.2760 data_cost: 0.0013 ips: 24.6049 images/s [10/15 19:12:55] ppdet.engine INFO: Epoch: [123] [340/523] learning_rate: 0.254489 loss_vfl: 0.869974 loss_bbox: 0.313985 loss_dfl: 0.196794 loss: 1.371168 eta: 2 days, 11:19:32 batch_cost: 2.2668 data_cost: 0.0016 ips: 24.7040 images/s [10/15 19:13:43] ppdet.engine INFO: Epoch: [123] [360/523] learning_rate: 0.254412 loss_vfl: 0.897050 loss_bbox: 0.298692 loss_dfl: 0.189529 loss: 1.375154 eta: 2 days, 11:18:44 batch_cost: 2.2552 data_cost: 0.0013 ips: 24.8317 images/s [10/15 19:14:30] ppdet.engine INFO: Epoch: [123] [380/523] learning_rate: 0.254335 loss_vfl: 0.884970 loss_bbox: 0.294427 loss_dfl: 0.200301 loss: 1.384687 eta: 2 days, 11:17:55 batch_cost: 2.2399 data_cost: 0.0021 ips: 25.0006 images/s [10/15 19:15:20] ppdet.engine INFO: Epoch: [123] [400/523] learning_rate: 0.254258 loss_vfl: 0.860608 loss_bbox: 0.319181 loss_dfl: 0.199230 loss: 1.383429 eta: 2 days, 11:17:10 batch_cost: 2.3479 data_cost: 0.0014 ips: 23.8508 images/s [10/15 19:16:06] ppdet.engine INFO: Epoch: [123] [420/523] learning_rate: 0.254181 loss_vfl: 0.855619 loss_bbox: 0.300483 loss_dfl: 0.192727 loss: 1.344606 eta: 2 days, 11:16:20 batch_cost: 2.2049 data_cost: 0.0014 ips: 25.3978 images/s [10/15 19:16:53] ppdet.engine INFO: Epoch: [123] [440/523] learning_rate: 0.254104 loss_vfl: 0.872768 loss_bbox: 0.328015 loss_dfl: 0.201102 loss: 1.399698 eta: 2 days, 11:15:30 batch_cost: 2.1886 data_cost: 0.0012 ips: 25.5870 images/s [10/15 19:17:40] ppdet.engine INFO: Epoch: [123] [460/523] learning_rate: 0.254027 loss_vfl: 0.855740 loss_bbox: 0.291997 loss_dfl: 0.194683 loss: 1.346925 eta: 2 days, 11:14:42 batch_cost: 2.2402 data_cost: 0.0012 ips: 24.9976 images/s [10/15 19:18:28] ppdet.engine INFO: Epoch: [123] [480/523] learning_rate: 0.253950 loss_vfl: 0.873128 loss_bbox: 0.300875 loss_dfl: 0.194822 loss: 1.374507 eta: 2 days, 11:13:54 batch_cost: 2.2561 data_cost: 0.0012 ips: 24.8211 images/s [10/15 19:19:16] ppdet.engine INFO: Epoch: [123] [500/523] learning_rate: 0.253873 loss_vfl: 0.884769 loss_bbox: 0.277354 loss_dfl: 0.196012 loss: 1.340820 eta: 2 days, 11:13:06 batch_cost: 2.2771 data_cost: 0.0013 ips: 24.5921 images/s [10/15 19:19:57] ppdet.engine INFO: Epoch: [123] [520/523] learning_rate: 0.253796 loss_vfl: 0.903911 loss_bbox: 0.294329 loss_dfl: 0.187278 loss: 1.398841 eta: 2 days, 11:12:10 batch_cost: 1.9503 data_cost: 0.0012 ips: 28.7132 images/s [10/15 19:20:25] ppdet.engine INFO: Epoch: [124] [ 0/523] learning_rate: 0.253784 loss_vfl: 0.903142 loss_bbox: 0.303561 loss_dfl: 0.195406 loss: 1.409595 eta: 2 days, 11:12:27 batch_cost: 2.8168 data_cost: 0.3690 ips: 19.8810 images/s [10/15 19:21:17] ppdet.engine INFO: Epoch: [124] [ 20/523] learning_rate: 0.253707 loss_vfl: 0.859373 loss_bbox: 0.309180 loss_dfl: 0.194275 loss: 1.366889 eta: 2 days, 11:11:46 batch_cost: 2.5040 data_cost: 0.0014 ips: 22.3644 images/s [10/15 19:22:05] ppdet.engine INFO: Epoch: [124] [ 40/523] learning_rate: 0.253630 loss_vfl: 0.856732 loss_bbox: 0.286836 loss_dfl: 0.187195 loss: 1.330108 eta: 2 days, 11:10:59 batch_cost: 2.2823 data_cost: 0.0013 ips: 24.5363 images/s [10/15 19:22:53] ppdet.engine INFO: Epoch: [124] [ 60/523] learning_rate: 0.253553 loss_vfl: 0.855766 loss_bbox: 0.285679 loss_dfl: 0.187142 loss: 1.323809 eta: 2 days, 11:10:11 batch_cost: 2.2747 data_cost: 0.0013 ips: 24.6189 images/s [10/15 19:23:41] ppdet.engine INFO: Epoch: [124] [ 80/523] learning_rate: 0.253475 loss_vfl: 0.849837 loss_bbox: 0.322371 loss_dfl: 0.193683 loss: 1.361755 eta: 2 days, 11:09:24 batch_cost: 2.2773 data_cost: 0.0013 ips: 24.5908 images/s [10/15 19:24:28] ppdet.engine INFO: Epoch: [124] [100/523] learning_rate: 0.253398 loss_vfl: 0.854759 loss_bbox: 0.291282 loss_dfl: 0.188442 loss: 1.333561 eta: 2 days, 11:08:36 batch_cost: 2.2421 data_cost: 0.0012 ips: 24.9770 images/s [10/15 19:25:16] ppdet.engine INFO: Epoch: [124] [120/523] learning_rate: 0.253321 loss_vfl: 0.870318 loss_bbox: 0.299117 loss_dfl: 0.191750 loss: 1.354536 eta: 2 days, 11:07:48 batch_cost: 2.2849 data_cost: 0.0012 ips: 24.5089 images/s [10/15 19:26:03] ppdet.engine INFO: Epoch: [124] [140/523] learning_rate: 0.253244 loss_vfl: 0.874300 loss_bbox: 0.275230 loss_dfl: 0.182216 loss: 1.332532 eta: 2 days, 11:07:00 batch_cost: 2.2331 data_cost: 0.0012 ips: 25.0775 images/s [10/15 19:26:51] ppdet.engine INFO: Epoch: [124] [160/523] learning_rate: 0.253167 loss_vfl: 0.875128 loss_bbox: 0.289358 loss_dfl: 0.181878 loss: 1.343668 eta: 2 days, 11:06:13 batch_cost: 2.2850 data_cost: 0.0013 ips: 24.5076 images/s [10/15 19:27:43] ppdet.engine INFO: Epoch: [124] [180/523] learning_rate: 0.253089 loss_vfl: 0.885705 loss_bbox: 0.268877 loss_dfl: 0.180197 loss: 1.330004 eta: 2 days, 11:05:31 batch_cost: 2.4748 data_cost: 0.0014 ips: 22.6280 images/s [10/15 19:28:30] ppdet.engine INFO: Epoch: [124] [200/523] learning_rate: 0.253012 loss_vfl: 0.879388 loss_bbox: 0.299278 loss_dfl: 0.187318 loss: 1.371994 eta: 2 days, 11:04:43 batch_cost: 2.2816 data_cost: 0.0013 ips: 24.5441 images/s [10/15 19:29:19] ppdet.engine INFO: Epoch: [124] [220/523] learning_rate: 0.252935 loss_vfl: 0.864195 loss_bbox: 0.287118 loss_dfl: 0.182855 loss: 1.337333 eta: 2 days, 11:03:57 batch_cost: 2.3085 data_cost: 0.0014 ips: 24.2586 images/s [10/15 19:30:05] ppdet.engine INFO: Epoch: [124] [240/523] learning_rate: 0.252858 loss_vfl: 0.859413 loss_bbox: 0.283921 loss_dfl: 0.185690 loss: 1.331681 eta: 2 days, 11:03:08 batch_cost: 2.2249 data_cost: 0.0013 ips: 25.1702 images/s [10/15 19:30:53] ppdet.engine INFO: Epoch: [124] [260/523] learning_rate: 0.252780 loss_vfl: 0.876028 loss_bbox: 0.304149 loss_dfl: 0.205969 loss: 1.384813 eta: 2 days, 11:02:21 batch_cost: 2.2977 data_cost: 0.0016 ips: 24.3725 images/s [10/15 19:31:42] ppdet.engine INFO: Epoch: [124] [280/523] learning_rate: 0.252703 loss_vfl: 0.873102 loss_bbox: 0.274755 loss_dfl: 0.179887 loss: 1.326422 eta: 2 days, 11:01:35 batch_cost: 2.3083 data_cost: 0.0013 ips: 24.2607 images/s [10/15 19:32:30] ppdet.engine INFO: Epoch: [124] [300/523] learning_rate: 0.252626 loss_vfl: 0.883212 loss_bbox: 0.284619 loss_dfl: 0.188794 loss: 1.357689 eta: 2 days, 11:00:47 batch_cost: 2.2587 data_cost: 0.0013 ips: 24.7925 images/s [10/15 19:33:16] ppdet.engine INFO: Epoch: [124] [320/523] learning_rate: 0.252549 loss_vfl: 0.843572 loss_bbox: 0.299549 loss_dfl: 0.191601 loss: 1.333909 eta: 2 days, 10:59:56 batch_cost: 2.1669 data_cost: 0.0012 ips: 25.8432 images/s [10/15 19:34:03] ppdet.engine INFO: Epoch: [124] [340/523] learning_rate: 0.252471 loss_vfl: 0.856243 loss_bbox: 0.290435 loss_dfl: 0.190005 loss: 1.342424 eta: 2 days, 10:59:09 batch_cost: 2.2678 data_cost: 0.0012 ips: 24.6931 images/s [10/15 19:34:50] ppdet.engine INFO: Epoch: [124] [360/523] learning_rate: 0.252394 loss_vfl: 0.871982 loss_bbox: 0.299893 loss_dfl: 0.192342 loss: 1.366084 eta: 2 days, 10:58:19 batch_cost: 2.2017 data_cost: 0.0013 ips: 25.4345 images/s [10/15 19:35:38] ppdet.engine INFO: Epoch: [124] [380/523] learning_rate: 0.252317 loss_vfl: 0.864416 loss_bbox: 0.314920 loss_dfl: 0.200177 loss: 1.349902 eta: 2 days, 10:57:32 batch_cost: 2.2835 data_cost: 0.0013 ips: 24.5240 images/s [10/15 19:36:26] ppdet.engine INFO: Epoch: [124] [400/523] learning_rate: 0.252239 loss_vfl: 0.848312 loss_bbox: 0.310030 loss_dfl: 0.196168 loss: 1.358043 eta: 2 days, 10:56:45 batch_cost: 2.2927 data_cost: 0.0013 ips: 24.4257 images/s [10/15 19:37:14] ppdet.engine INFO: Epoch: [124] [420/523] learning_rate: 0.252162 loss_vfl: 0.868509 loss_bbox: 0.299413 loss_dfl: 0.194911 loss: 1.380076 eta: 2 days, 10:55:59 batch_cost: 2.3168 data_cost: 0.0014 ips: 24.1708 images/s [10/15 19:38:04] ppdet.engine INFO: Epoch: [124] [440/523] learning_rate: 0.252085 loss_vfl: 0.864412 loss_bbox: 0.309414 loss_dfl: 0.200379 loss: 1.367687 eta: 2 days, 10:55:15 batch_cost: 2.4010 data_cost: 0.0013 ips: 23.3234 images/s [10/15 19:38:52] ppdet.engine INFO: Epoch: [124] [460/523] learning_rate: 0.252007 loss_vfl: 0.884673 loss_bbox: 0.277658 loss_dfl: 0.178849 loss: 1.336369 eta: 2 days, 10:54:27 batch_cost: 2.2712 data_cost: 0.0013 ips: 24.6571 images/s [10/15 19:39:40] ppdet.engine INFO: Epoch: [124] [480/523] learning_rate: 0.251930 loss_vfl: 0.869478 loss_bbox: 0.324991 loss_dfl: 0.206332 loss: 1.410421 eta: 2 days, 10:53:41 batch_cost: 2.3315 data_cost: 0.0015 ips: 24.0190 images/s [10/15 19:40:29] ppdet.engine INFO: Epoch: [124] [500/523] learning_rate: 0.251853 loss_vfl: 0.868903 loss_bbox: 0.277483 loss_dfl: 0.191168 loss: 1.347537 eta: 2 days, 10:52:55 batch_cost: 2.3236 data_cost: 0.0012 ips: 24.1009 images/s [10/15 19:41:12] ppdet.engine INFO: Epoch: [124] [520/523] learning_rate: 0.251775 loss_vfl: 0.886446 loss_bbox: 0.304466 loss_dfl: 0.193837 loss: 1.368313 eta: 2 days, 10:52:02 batch_cost: 2.0633 data_cost: 0.0011 ips: 27.1408 images/s [10/15 19:41:44] ppdet.engine INFO: Epoch: [125] [ 0/523] learning_rate: 0.251764 loss_vfl: 0.886446 loss_bbox: 0.302662 loss_dfl: 0.191572 loss: 1.384920 eta: 2 days, 10:52:24 batch_cost: 3.0905 data_cost: 0.4958 ips: 18.1202 images/s [10/15 19:42:31] ppdet.engine INFO: Epoch: [125] [ 20/523] learning_rate: 0.251686 loss_vfl: 0.868022 loss_bbox: 0.296060 loss_dfl: 0.197359 loss: 1.358107 eta: 2 days, 10:51:36 batch_cost: 2.2655 data_cost: 0.0014 ips: 24.7182 images/s [10/15 19:43:19] ppdet.engine INFO: Epoch: [125] [ 40/523] learning_rate: 0.251609 loss_vfl: 0.854562 loss_bbox: 0.285724 loss_dfl: 0.191505 loss: 1.337561 eta: 2 days, 10:50:49 batch_cost: 2.2743 data_cost: 0.0012 ips: 24.6226 images/s [10/15 19:44:05] ppdet.engine INFO: Epoch: [125] [ 60/523] learning_rate: 0.251532 loss_vfl: 0.850791 loss_bbox: 0.304335 loss_dfl: 0.200214 loss: 1.357352 eta: 2 days, 10:49:59 batch_cost: 2.2075 data_cost: 0.0012 ips: 25.3681 images/s [10/15 19:44:52] ppdet.engine INFO: Epoch: [125] [ 80/523] learning_rate: 0.251454 loss_vfl: 0.839117 loss_bbox: 0.305888 loss_dfl: 0.192602 loss: 1.349583 eta: 2 days, 10:49:10 batch_cost: 2.2193 data_cost: 0.0013 ips: 25.2336 images/s [10/15 19:45:40] ppdet.engine INFO: Epoch: [125] [100/523] learning_rate: 0.251377 loss_vfl: 0.854664 loss_bbox: 0.294754 loss_dfl: 0.195825 loss: 1.340657 eta: 2 days, 10:48:23 batch_cost: 2.2727 data_cost: 0.0013 ips: 24.6402 images/s [10/15 19:46:28] ppdet.engine INFO: Epoch: [125] [120/523] learning_rate: 0.251299 loss_vfl: 0.867517 loss_bbox: 0.310212 loss_dfl: 0.201672 loss: 1.376114 eta: 2 days, 10:47:36 batch_cost: 2.3042 data_cost: 0.0012 ips: 24.3033 images/s [10/15 19:47:16] ppdet.engine INFO: Epoch: [125] [140/523] learning_rate: 0.251222 loss_vfl: 0.865209 loss_bbox: 0.300594 loss_dfl: 0.197253 loss: 1.358896 eta: 2 days, 10:46:50 batch_cost: 2.3067 data_cost: 0.0013 ips: 24.2766 images/s [10/15 19:48:04] ppdet.engine INFO: Epoch: [125] [160/523] learning_rate: 0.251145 loss_vfl: 0.862689 loss_bbox: 0.288805 loss_dfl: 0.188475 loss: 1.339437 eta: 2 days, 10:46:03 batch_cost: 2.2964 data_cost: 0.0013 ips: 24.3861 images/s [10/15 19:48:53] ppdet.engine INFO: Epoch: [125] [180/523] learning_rate: 0.251067 loss_vfl: 0.856591 loss_bbox: 0.291823 loss_dfl: 0.184203 loss: 1.356256 eta: 2 days, 10:45:16 batch_cost: 2.3114 data_cost: 0.0013 ips: 24.2278 images/s [10/15 19:49:40] ppdet.engine INFO: Epoch: [125] [200/523] learning_rate: 0.250990 loss_vfl: 0.858783 loss_bbox: 0.313097 loss_dfl: 0.201188 loss: 1.389632 eta: 2 days, 10:44:29 batch_cost: 2.2907 data_cost: 0.0013 ips: 24.4467 images/s [10/15 19:50:27] ppdet.engine INFO: Epoch: [125] [220/523] learning_rate: 0.250912 loss_vfl: 0.870392 loss_bbox: 0.309157 loss_dfl: 0.199178 loss: 1.383034 eta: 2 days, 10:43:40 batch_cost: 2.2223 data_cost: 0.0013 ips: 25.1988 images/s [10/15 19:51:15] ppdet.engine INFO: Epoch: [125] [240/523] learning_rate: 0.250835 loss_vfl: 0.861697 loss_bbox: 0.283924 loss_dfl: 0.183091 loss: 1.342101 eta: 2 days, 10:42:53 batch_cost: 2.2653 data_cost: 0.0013 ips: 24.7207 images/s [10/15 19:52:03] ppdet.engine INFO: Epoch: [125] [260/523] learning_rate: 0.250757 loss_vfl: 0.874030 loss_bbox: 0.307204 loss_dfl: 0.201384 loss: 1.374853 eta: 2 days, 10:42:06 batch_cost: 2.3126 data_cost: 0.0012 ips: 24.2150 images/s [10/15 19:52:52] ppdet.engine INFO: Epoch: [125] [280/523] learning_rate: 0.250680 loss_vfl: 0.869586 loss_bbox: 0.297420 loss_dfl: 0.193593 loss: 1.341153 eta: 2 days, 10:41:20 batch_cost: 2.3126 data_cost: 0.0013 ips: 24.2155 images/s [10/15 19:53:39] ppdet.engine INFO: Epoch: [125] [300/523] learning_rate: 0.250602 loss_vfl: 0.874153 loss_bbox: 0.280057 loss_dfl: 0.193531 loss: 1.336002 eta: 2 days, 10:40:33 batch_cost: 2.2780 data_cost: 0.0019 ips: 24.5835 images/s [10/15 19:54:26] ppdet.engine INFO: Epoch: [125] [320/523] learning_rate: 0.250525 loss_vfl: 0.866612 loss_bbox: 0.283476 loss_dfl: 0.191940 loss: 1.344648 eta: 2 days, 10:39:44 batch_cost: 2.2251 data_cost: 0.0012 ips: 25.1673 images/s [10/15 19:55:13] ppdet.engine INFO: Epoch: [125] [340/523] learning_rate: 0.250447 loss_vfl: 0.879328 loss_bbox: 0.292195 loss_dfl: 0.186484 loss: 1.358330 eta: 2 days, 10:38:56 batch_cost: 2.2548 data_cost: 0.0012 ips: 24.8364 images/s [10/15 19:56:02] ppdet.engine INFO: Epoch: [125] [360/523] learning_rate: 0.250370 loss_vfl: 0.873509 loss_bbox: 0.299290 loss_dfl: 0.190110 loss: 1.386991 eta: 2 days, 10:38:10 batch_cost: 2.3294 data_cost: 0.0012 ips: 24.0409 images/s [10/15 19:56:49] ppdet.engine INFO: Epoch: [125] [380/523] learning_rate: 0.250292 loss_vfl: 0.880847 loss_bbox: 0.286004 loss_dfl: 0.188600 loss: 1.365605 eta: 2 days, 10:37:21 batch_cost: 2.2282 data_cost: 0.0012 ips: 25.1319 images/s [10/15 19:57:35] ppdet.engine INFO: Epoch: [125] [400/523] learning_rate: 0.250215 loss_vfl: 0.858695 loss_bbox: 0.312509 loss_dfl: 0.189450 loss: 1.364408 eta: 2 days, 10:36:32 batch_cost: 2.2133 data_cost: 0.0012 ips: 25.3020 images/s [10/15 19:58:23] ppdet.engine INFO: Epoch: [125] [420/523] learning_rate: 0.250137 loss_vfl: 0.880047 loss_bbox: 0.297346 loss_dfl: 0.192419 loss: 1.350050 eta: 2 days, 10:35:45 batch_cost: 2.2846 data_cost: 0.0013 ips: 24.5119 images/s [10/15 19:59:10] ppdet.engine INFO: Epoch: [125] [440/523] learning_rate: 0.250060 loss_vfl: 0.849701 loss_bbox: 0.316567 loss_dfl: 0.193974 loss: 1.376162 eta: 2 days, 10:34:57 batch_cost: 2.2516 data_cost: 0.0012 ips: 24.8715 images/s [10/15 19:59:57] ppdet.engine INFO: Epoch: [125] [460/523] learning_rate: 0.249982 loss_vfl: 0.875495 loss_bbox: 0.291076 loss_dfl: 0.188652 loss: 1.357790 eta: 2 days, 10:34:09 batch_cost: 2.2472 data_cost: 0.0015 ips: 24.9199 images/s [10/15 20:00:44] ppdet.engine INFO: Epoch: [125] [480/523] learning_rate: 0.249905 loss_vfl: 0.885087 loss_bbox: 0.313121 loss_dfl: 0.196328 loss: 1.376070 eta: 2 days, 10:33:20 batch_cost: 2.2378 data_cost: 0.0018 ips: 25.0242 images/s [10/15 20:01:31] ppdet.engine INFO: Epoch: [125] [500/523] learning_rate: 0.249827 loss_vfl: 0.868501 loss_bbox: 0.293064 loss_dfl: 0.189640 loss: 1.354573 eta: 2 days, 10:32:33 batch_cost: 2.2751 data_cost: 0.0023 ips: 24.6146 images/s [10/15 20:02:14] ppdet.engine INFO: Epoch: [125] [520/523] learning_rate: 0.249750 loss_vfl: 0.861527 loss_bbox: 0.301148 loss_dfl: 0.194846 loss: 1.357800 eta: 2 days, 10:31:39 batch_cost: 2.0580 data_cost: 0.0012 ips: 27.2107 images/s [10/15 20:02:44] ppdet.engine INFO: Epoch: [126] [ 0/523] learning_rate: 0.249738 loss_vfl: 0.861527 loss_bbox: 0.297841 loss_dfl: 0.189083 loss: 1.355790 eta: 2 days, 10:31:57 batch_cost: 2.9392 data_cost: 0.5969 ips: 19.0528 images/s [10/15 20:03:32] ppdet.engine INFO: Epoch: [126] [ 20/523] learning_rate: 0.249660 loss_vfl: 0.859496 loss_bbox: 0.284557 loss_dfl: 0.182668 loss: 1.329659 eta: 2 days, 10:31:09 batch_cost: 2.2472 data_cost: 0.0013 ips: 24.9203 images/s [10/15 20:04:19] ppdet.engine INFO: Epoch: [126] [ 40/523] learning_rate: 0.249583 loss_vfl: 0.861150 loss_bbox: 0.294350 loss_dfl: 0.188667 loss: 1.342209 eta: 2 days, 10:30:21 batch_cost: 2.2573 data_cost: 0.0013 ips: 24.8080 images/s [10/15 20:05:07] ppdet.engine INFO: Epoch: [126] [ 60/523] learning_rate: 0.249505 loss_vfl: 0.868165 loss_bbox: 0.306155 loss_dfl: 0.194414 loss: 1.362102 eta: 2 days, 10:29:34 batch_cost: 2.2826 data_cost: 0.0013 ips: 24.5336 images/s [10/15 20:05:55] ppdet.engine INFO: Epoch: [126] [ 80/523] learning_rate: 0.249428 loss_vfl: 0.857559 loss_bbox: 0.293415 loss_dfl: 0.194302 loss: 1.373145 eta: 2 days, 10:28:46 batch_cost: 2.2758 data_cost: 0.0060 ips: 24.6067 images/s [10/15 20:06:43] ppdet.engine INFO: Epoch: [126] [100/523] learning_rate: 0.249350 loss_vfl: 0.876442 loss_bbox: 0.273652 loss_dfl: 0.184897 loss: 1.349936 eta: 2 days, 10:28:00 batch_cost: 2.3160 data_cost: 0.0012 ips: 24.1794 images/s [10/15 20:07:30] ppdet.engine INFO: Epoch: [126] [120/523] learning_rate: 0.249272 loss_vfl: 0.867128 loss_bbox: 0.291559 loss_dfl: 0.195383 loss: 1.355108 eta: 2 days, 10:27:12 batch_cost: 2.2430 data_cost: 0.0012 ips: 24.9668 images/s [10/15 20:08:18] ppdet.engine INFO: Epoch: [126] [140/523] learning_rate: 0.249195 loss_vfl: 0.855875 loss_bbox: 0.303976 loss_dfl: 0.194379 loss: 1.357680 eta: 2 days, 10:26:25 batch_cost: 2.3067 data_cost: 0.0015 ips: 24.2774 images/s [10/15 20:09:05] ppdet.engine INFO: Epoch: [126] [160/523] learning_rate: 0.249117 loss_vfl: 0.851555 loss_bbox: 0.307994 loss_dfl: 0.196403 loss: 1.371599 eta: 2 days, 10:25:36 batch_cost: 2.2249 data_cost: 0.0012 ips: 25.1701 images/s [10/15 20:09:53] ppdet.engine INFO: Epoch: [126] [180/523] learning_rate: 0.249039 loss_vfl: 0.858500 loss_bbox: 0.292831 loss_dfl: 0.187350 loss: 1.345101 eta: 2 days, 10:24:49 batch_cost: 2.2671 data_cost: 0.0012 ips: 24.7006 images/s [10/15 20:10:41] ppdet.engine INFO: Epoch: [126] [200/523] learning_rate: 0.248962 loss_vfl: 0.866278 loss_bbox: 0.324061 loss_dfl: 0.201384 loss: 1.383599 eta: 2 days, 10:24:02 batch_cost: 2.2948 data_cost: 0.0012 ips: 24.4031 images/s [10/15 20:11:28] ppdet.engine INFO: Epoch: [126] [220/523] learning_rate: 0.248884 loss_vfl: 0.855277 loss_bbox: 0.292438 loss_dfl: 0.193492 loss: 1.347159 eta: 2 days, 10:23:14 batch_cost: 2.2704 data_cost: 0.0014 ips: 24.6656 images/s [10/15 20:12:17] ppdet.engine INFO: Epoch: [126] [240/523] learning_rate: 0.248807 loss_vfl: 0.860793 loss_bbox: 0.311492 loss_dfl: 0.197690 loss: 1.383673 eta: 2 days, 10:22:28 batch_cost: 2.3079 data_cost: 0.0018 ips: 24.2640 images/s [10/15 20:13:05] ppdet.engine INFO: Epoch: [126] [260/523] learning_rate: 0.248729 loss_vfl: 0.852236 loss_bbox: 0.286769 loss_dfl: 0.185131 loss: 1.343423 eta: 2 days, 10:21:41 batch_cost: 2.3011 data_cost: 0.0018 ips: 24.3357 images/s [10/15 20:13:51] ppdet.engine INFO: Epoch: [126] [280/523] learning_rate: 0.248651 loss_vfl: 0.862070 loss_bbox: 0.293759 loss_dfl: 0.189817 loss: 1.337956 eta: 2 days, 10:20:52 batch_cost: 2.2274 data_cost: 0.0019 ips: 25.1415 images/s [10/15 20:14:40] ppdet.engine INFO: Epoch: [126] [300/523] learning_rate: 0.248573 loss_vfl: 0.848533 loss_bbox: 0.282923 loss_dfl: 0.183147 loss: 1.328648 eta: 2 days, 10:20:07 batch_cost: 2.3369 data_cost: 0.0012 ips: 23.9639 images/s [10/15 20:15:29] ppdet.engine INFO: Epoch: [126] [320/523] learning_rate: 0.248496 loss_vfl: 0.848044 loss_bbox: 0.295767 loss_dfl: 0.187571 loss: 1.343274 eta: 2 days, 10:19:21 batch_cost: 2.3306 data_cost: 0.0013 ips: 24.0278 images/s [10/15 20:16:17] ppdet.engine INFO: Epoch: [126] [340/523] learning_rate: 0.248418 loss_vfl: 0.874040 loss_bbox: 0.300347 loss_dfl: 0.197280 loss: 1.372098 eta: 2 days, 10:18:34 batch_cost: 2.3059 data_cost: 0.0012 ips: 24.2856 images/s [10/15 20:17:04] ppdet.engine INFO: Epoch: [126] [360/523] learning_rate: 0.248340 loss_vfl: 0.848502 loss_bbox: 0.303704 loss_dfl: 0.187128 loss: 1.358794 eta: 2 days, 10:17:46 batch_cost: 2.2457 data_cost: 0.0012 ips: 24.9363 images/s [10/15 20:17:51] ppdet.engine INFO: Epoch: [126] [380/523] learning_rate: 0.248263 loss_vfl: 0.871187 loss_bbox: 0.308198 loss_dfl: 0.194342 loss: 1.376377 eta: 2 days, 10:16:57 batch_cost: 2.2174 data_cost: 0.0028 ips: 25.2547 images/s [10/15 20:18:39] ppdet.engine INFO: Epoch: [126] [400/523] learning_rate: 0.248185 loss_vfl: 0.879301 loss_bbox: 0.295051 loss_dfl: 0.194735 loss: 1.371048 eta: 2 days, 10:16:10 batch_cost: 2.2957 data_cost: 0.0012 ips: 24.3938 images/s [10/15 20:19:25] ppdet.engine INFO: Epoch: [126] [420/523] learning_rate: 0.248107 loss_vfl: 0.845601 loss_bbox: 0.306976 loss_dfl: 0.195362 loss: 1.332725 eta: 2 days, 10:15:21 batch_cost: 2.1982 data_cost: 0.0012 ips: 25.4749 images/s [10/15 20:20:12] ppdet.engine INFO: Epoch: [126] [440/523] learning_rate: 0.248029 loss_vfl: 0.869875 loss_bbox: 0.296856 loss_dfl: 0.194502 loss: 1.357314 eta: 2 days, 10:14:33 batch_cost: 2.2635 data_cost: 0.0013 ips: 24.7401 images/s [10/15 20:21:00] ppdet.engine INFO: Epoch: [126] [460/523] learning_rate: 0.247952 loss_vfl: 0.889519 loss_bbox: 0.303718 loss_dfl: 0.192697 loss: 1.393432 eta: 2 days, 10:13:45 batch_cost: 2.2434 data_cost: 0.0012 ips: 24.9618 images/s [10/15 20:21:46] ppdet.engine INFO: Epoch: [126] [480/523] learning_rate: 0.247874 loss_vfl: 0.885719 loss_bbox: 0.292552 loss_dfl: 0.192763 loss: 1.381539 eta: 2 days, 10:12:56 batch_cost: 2.2313 data_cost: 0.0013 ips: 25.0979 images/s [10/15 20:22:34] ppdet.engine INFO: Epoch: [126] [500/523] learning_rate: 0.247796 loss_vfl: 0.870806 loss_bbox: 0.289677 loss_dfl: 0.192475 loss: 1.370757 eta: 2 days, 10:12:08 batch_cost: 2.2514 data_cost: 0.0029 ips: 24.8737 images/s [10/15 20:23:15] ppdet.engine INFO: Epoch: [126] [520/523] learning_rate: 0.247718 loss_vfl: 0.888422 loss_bbox: 0.283105 loss_dfl: 0.184294 loss: 1.358750 eta: 2 days, 10:11:12 batch_cost: 1.9763 data_cost: 0.0012 ips: 28.3353 images/s [10/15 20:23:44] ppdet.engine INFO: Epoch: [127] [ 0/523] learning_rate: 0.247707 loss_vfl: 0.879075 loss_bbox: 0.283105 loss_dfl: 0.184490 loss: 1.345589 eta: 2 days, 10:11:30 batch_cost: 2.8811 data_cost: 0.5414 ips: 19.4369 images/s [10/15 20:24:35] ppdet.engine INFO: Epoch: [127] [ 20/523] learning_rate: 0.247629 loss_vfl: 0.863156 loss_bbox: 0.284326 loss_dfl: 0.184623 loss: 1.341159 eta: 2 days, 10:10:46 batch_cost: 2.4167 data_cost: 0.0013 ips: 23.1721 images/s [10/15 20:25:22] ppdet.engine INFO: Epoch: [127] [ 40/523] learning_rate: 0.247551 loss_vfl: 0.854285 loss_bbox: 0.299968 loss_dfl: 0.190918 loss: 1.356053 eta: 2 days, 10:09:58 batch_cost: 2.2553 data_cost: 0.0012 ips: 24.8309 images/s [10/15 20:26:10] ppdet.engine INFO: Epoch: [127] [ 60/523] learning_rate: 0.247473 loss_vfl: 0.846516 loss_bbox: 0.318696 loss_dfl: 0.202608 loss: 1.360348 eta: 2 days, 10:09:11 batch_cost: 2.2617 data_cost: 0.0013 ips: 24.7602 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[127] [160/523] learning_rate: 0.247084 loss_vfl: 0.867550 loss_bbox: 0.307935 loss_dfl: 0.190342 loss: 1.353718 eta: 2 days, 10:05:12 batch_cost: 2.2951 data_cost: 0.0012 ips: 24.4003 images/s [10/15 20:30:54] ppdet.engine INFO: Epoch: [127] [180/523] learning_rate: 0.247006 loss_vfl: 0.863421 loss_bbox: 0.288365 loss_dfl: 0.182829 loss: 1.352215 eta: 2 days, 10:04:24 batch_cost: 2.2400 data_cost: 0.0019 ips: 24.9999 images/s [10/15 20:31:42] ppdet.engine INFO: Epoch: [127] [200/523] learning_rate: 0.246929 loss_vfl: 0.860405 loss_bbox: 0.294041 loss_dfl: 0.190944 loss: 1.336488 eta: 2 days, 10:03:36 batch_cost: 2.2561 data_cost: 0.0013 ips: 24.8213 images/s [10/15 20:32:29] ppdet.engine INFO: Epoch: [127] [220/523] learning_rate: 0.246851 loss_vfl: 0.865442 loss_bbox: 0.310626 loss_dfl: 0.199814 loss: 1.369802 eta: 2 days, 10:02:48 batch_cost: 2.2720 data_cost: 0.0013 ips: 24.6481 images/s [10/15 20:33:17] ppdet.engine INFO: Epoch: [127] [240/523] learning_rate: 0.246773 loss_vfl: 0.856982 loss_bbox: 0.301870 loss_dfl: 0.191947 loss: 1.361587 eta: 2 days, 10:02:00 batch_cost: 2.2522 data_cost: 0.0012 ips: 24.8642 images/s [10/15 20:34:05] ppdet.engine INFO: Epoch: [127] [260/523] learning_rate: 0.246695 loss_vfl: 0.853409 loss_bbox: 0.290379 loss_dfl: 0.191391 loss: 1.348902 eta: 2 days, 10:01:13 batch_cost: 2.2838 data_cost: 0.0012 ips: 24.5204 images/s [10/15 20:34:53] ppdet.engine INFO: Epoch: [127] [280/523] learning_rate: 0.246617 loss_vfl: 0.870060 loss_bbox: 0.308055 loss_dfl: 0.195961 loss: 1.370750 eta: 2 days, 10:00:27 batch_cost: 2.2999 data_cost: 0.0013 ips: 24.3486 images/s [10/15 20:35:40] ppdet.engine INFO: Epoch: [127] [300/523] learning_rate: 0.246539 loss_vfl: 0.869474 loss_bbox: 0.293799 loss_dfl: 0.192832 loss: 1.376965 eta: 2 days, 9:59:38 batch_cost: 2.2188 data_cost: 0.0013 ips: 25.2388 images/s [10/15 20:36:28] ppdet.engine INFO: Epoch: [127] [320/523] learning_rate: 0.246461 loss_vfl: 0.873655 loss_bbox: 0.292803 loss_dfl: 0.193511 loss: 1.378003 eta: 2 days, 9:58:51 batch_cost: 2.2994 data_cost: 0.0012 ips: 24.3537 images/s [10/15 20:37:17] ppdet.engine INFO: Epoch: [127] [340/523] learning_rate: 0.246383 loss_vfl: 0.856448 loss_bbox: 0.300018 loss_dfl: 0.194246 loss: 1.360306 eta: 2 days, 9:58:06 batch_cost: 2.3592 data_cost: 0.0014 ips: 23.7367 images/s [10/15 20:38:05] ppdet.engine INFO: Epoch: [127] [360/523] learning_rate: 0.246305 loss_vfl: 0.854795 loss_bbox: 0.303659 loss_dfl: 0.198284 loss: 1.370454 eta: 2 days, 9:57:18 batch_cost: 2.2556 data_cost: 0.0018 ips: 24.8273 images/s [10/15 20:38:53] ppdet.engine INFO: Epoch: [127] [380/523] learning_rate: 0.246228 loss_vfl: 0.862343 loss_bbox: 0.289056 loss_dfl: 0.188452 loss: 1.340584 eta: 2 days, 9:56:31 batch_cost: 2.2964 data_cost: 0.0013 ips: 24.3858 images/s [10/15 20:39:40] ppdet.engine INFO: Epoch: [127] [400/523] learning_rate: 0.246150 loss_vfl: 0.862561 loss_bbox: 0.301857 loss_dfl: 0.194875 loss: 1.377246 eta: 2 days, 9:55:43 batch_cost: 2.2403 data_cost: 0.0013 ips: 24.9966 images/s [10/15 20:40:27] ppdet.engine INFO: Epoch: [127] [420/523] learning_rate: 0.246072 loss_vfl: 0.873137 loss_bbox: 0.299267 loss_dfl: 0.189353 loss: 1.358361 eta: 2 days, 9:54:55 batch_cost: 2.2651 data_cost: 0.0012 ips: 24.7229 images/s [10/15 20:41:13] ppdet.engine INFO: Epoch: [127] [440/523] learning_rate: 0.245994 loss_vfl: 0.879620 loss_bbox: 0.281846 loss_dfl: 0.184335 loss: 1.343187 eta: 2 days, 9:54:06 batch_cost: 2.1957 data_cost: 0.0012 ips: 25.5048 images/s [10/15 20:42:01] ppdet.engine INFO: Epoch: [127] [460/523] learning_rate: 0.245916 loss_vfl: 0.862206 loss_bbox: 0.279088 loss_dfl: 0.184838 loss: 1.330729 eta: 2 days, 9:53:18 batch_cost: 2.2688 data_cost: 0.0018 ips: 24.6823 images/s [10/15 20:42:50] ppdet.engine INFO: Epoch: [127] [480/523] learning_rate: 0.245838 loss_vfl: 0.871396 loss_bbox: 0.267708 loss_dfl: 0.178411 loss: 1.334263 eta: 2 days, 9:52:33 batch_cost: 2.3451 data_cost: 0.0013 ips: 23.8799 images/s [10/15 20:43:38] ppdet.engine INFO: Epoch: [127] [500/523] learning_rate: 0.245760 loss_vfl: 0.863906 loss_bbox: 0.308106 loss_dfl: 0.192574 loss: 1.362061 eta: 2 days, 9:51:47 batch_cost: 2.3226 data_cost: 0.0013 ips: 24.1113 images/s [10/15 20:44:20] ppdet.engine INFO: Epoch: [127] [520/523] learning_rate: 0.245682 loss_vfl: 0.864318 loss_bbox: 0.289219 loss_dfl: 0.186734 loss: 1.352162 eta: 2 days, 9:50:51 batch_cost: 1.9856 data_cost: 0.0012 ips: 28.2024 images/s [10/15 20:44:52] ppdet.engine INFO: Epoch: [128] [ 0/523] learning_rate: 0.245670 loss_vfl: 0.864318 loss_bbox: 0.296275 loss_dfl: 0.188102 loss: 1.356456 eta: 2 days, 9:51:13 batch_cost: 3.0429 data_cost: 0.8125 ips: 18.4035 images/s [10/15 20:45:42] ppdet.engine INFO: Epoch: [128] [ 20/523] learning_rate: 0.245592 loss_vfl: 0.844037 loss_bbox: 0.292143 loss_dfl: 0.188497 loss: 1.323403 eta: 2 days, 9:50:28 batch_cost: 2.3532 data_cost: 0.0013 ips: 23.7970 images/s [10/15 20:46:30] ppdet.engine INFO: Epoch: [128] [ 40/523] learning_rate: 0.245514 loss_vfl: 0.856491 loss_bbox: 0.280649 loss_dfl: 0.187391 loss: 1.323869 eta: 2 days, 9:49:40 batch_cost: 2.2756 data_cost: 0.0020 ips: 24.6084 images/s [10/15 20:47:18] ppdet.engine INFO: Epoch: [128] [ 60/523] learning_rate: 0.245436 loss_vfl: 0.873919 loss_bbox: 0.298607 loss_dfl: 0.189772 loss: 1.372803 eta: 2 days, 9:48:53 batch_cost: 2.2811 data_cost: 0.0014 ips: 24.5494 images/s [10/15 20:48:06] ppdet.engine INFO: Epoch: [128] [ 80/523] learning_rate: 0.245358 loss_vfl: 0.862810 loss_bbox: 0.293245 loss_dfl: 0.193288 loss: 1.323562 eta: 2 days, 9:48:06 batch_cost: 2.2799 data_cost: 0.0022 ips: 24.5623 images/s [10/15 20:48:53] ppdet.engine INFO: Epoch: [128] [100/523] learning_rate: 0.245280 loss_vfl: 0.860590 loss_bbox: 0.316451 loss_dfl: 0.195942 loss: 1.352093 eta: 2 days, 9:47:18 batch_cost: 2.2555 data_cost: 0.0013 ips: 24.8282 images/s [10/15 20:49:39] ppdet.engine INFO: Epoch: [128] [120/523] learning_rate: 0.245202 loss_vfl: 0.853232 loss_bbox: 0.300601 loss_dfl: 0.201558 loss: 1.365387 eta: 2 days, 9:46:29 batch_cost: 2.2228 data_cost: 0.0024 ips: 25.1936 images/s [10/15 20:50:28] ppdet.engine INFO: Epoch: [128] [140/523] learning_rate: 0.245124 loss_vfl: 0.864088 loss_bbox: 0.299639 loss_dfl: 0.187659 loss: 1.357044 eta: 2 days, 9:45:43 batch_cost: 2.3220 data_cost: 0.0013 ips: 24.1173 images/s [10/15 20:51:16] ppdet.engine INFO: Epoch: [128] [160/523] learning_rate: 0.245046 loss_vfl: 0.848554 loss_bbox: 0.306432 loss_dfl: 0.196662 loss: 1.343642 eta: 2 days, 9:44:56 batch_cost: 2.2884 data_cost: 0.0013 ips: 24.4710 images/s [10/15 20:52:03] ppdet.engine INFO: Epoch: [128] [180/523] learning_rate: 0.244968 loss_vfl: 0.862006 loss_bbox: 0.291498 loss_dfl: 0.190520 loss: 1.328753 eta: 2 days, 9:44:08 batch_cost: 2.2516 data_cost: 0.0012 ips: 24.8708 images/s [10/15 20:52:51] ppdet.engine INFO: Epoch: [128] [200/523] learning_rate: 0.244890 loss_vfl: 0.865219 loss_bbox: 0.291501 loss_dfl: 0.187349 loss: 1.361969 eta: 2 days, 9:43:21 batch_cost: 2.2967 data_cost: 0.0013 ips: 24.3830 images/s [10/15 20:53:39] ppdet.engine INFO: Epoch: [128] [220/523] learning_rate: 0.244812 loss_vfl: 0.886325 loss_bbox: 0.309405 loss_dfl: 0.192408 loss: 1.387356 eta: 2 days, 9:42:34 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4741 images/s [10/15 20:54:27] ppdet.engine INFO: Epoch: [128] [240/523] learning_rate: 0.244734 loss_vfl: 0.854005 loss_bbox: 0.290391 loss_dfl: 0.189650 loss: 1.341377 eta: 2 days, 9:41:47 batch_cost: 2.2923 data_cost: 0.0015 ips: 24.4295 images/s [10/15 20:55:14] ppdet.engine INFO: Epoch: [128] [260/523] learning_rate: 0.244656 loss_vfl: 0.863679 loss_bbox: 0.306320 loss_dfl: 0.196641 loss: 1.351599 eta: 2 days, 9:40:59 batch_cost: 2.2628 data_cost: 0.0017 ips: 24.7483 images/s [10/15 20:56:02] ppdet.engine INFO: Epoch: [128] [280/523] learning_rate: 0.244578 loss_vfl: 0.869937 loss_bbox: 0.296761 loss_dfl: 0.191551 loss: 1.360796 eta: 2 days, 9:40:11 batch_cost: 2.2522 data_cost: 0.0013 ips: 24.8643 images/s [10/15 20:56:49] ppdet.engine INFO: Epoch: [128] [300/523] learning_rate: 0.244500 loss_vfl: 0.875496 loss_bbox: 0.318532 loss_dfl: 0.196889 loss: 1.371474 eta: 2 days, 9:39:23 batch_cost: 2.2498 data_cost: 0.0012 ips: 24.8912 images/s [10/15 20:57:38] ppdet.engine INFO: Epoch: [128] [320/523] learning_rate: 0.244422 loss_vfl: 0.855519 loss_bbox: 0.303281 loss_dfl: 0.198553 loss: 1.365015 eta: 2 days, 9:38:37 batch_cost: 2.3060 data_cost: 0.0013 ips: 24.2844 images/s [10/15 20:58:25] ppdet.engine INFO: Epoch: [128] [340/523] learning_rate: 0.244344 loss_vfl: 0.853529 loss_bbox: 0.285376 loss_dfl: 0.185708 loss: 1.337856 eta: 2 days, 9:37:50 batch_cost: 2.2840 data_cost: 0.0013 ips: 24.5183 images/s [10/15 20:59:14] ppdet.engine INFO: Epoch: [128] [360/523] learning_rate: 0.244265 loss_vfl: 0.870997 loss_bbox: 0.283752 loss_dfl: 0.184295 loss: 1.344162 eta: 2 days, 9:37:03 batch_cost: 2.3052 data_cost: 0.0014 ips: 24.2927 images/s [10/15 21:00:02] ppdet.engine INFO: Epoch: [128] [380/523] learning_rate: 0.244187 loss_vfl: 0.869248 loss_bbox: 0.294951 loss_dfl: 0.192478 loss: 1.367784 eta: 2 days, 9:36:17 batch_cost: 2.3101 data_cost: 0.0026 ips: 24.2412 images/s [10/15 21:00:49] ppdet.engine INFO: Epoch: [128] [400/523] learning_rate: 0.244109 loss_vfl: 0.870282 loss_bbox: 0.312313 loss_dfl: 0.196930 loss: 1.371711 eta: 2 days, 9:35:29 batch_cost: 2.2743 data_cost: 0.0013 ips: 24.6229 images/s [10/15 21:01:37] ppdet.engine INFO: Epoch: [128] [420/523] learning_rate: 0.244031 loss_vfl: 0.884508 loss_bbox: 0.299067 loss_dfl: 0.193536 loss: 1.367202 eta: 2 days, 9:34:42 batch_cost: 2.2727 data_cost: 0.0021 ips: 24.6399 images/s [10/15 21:02:26] ppdet.engine INFO: Epoch: [128] [440/523] learning_rate: 0.243953 loss_vfl: 0.859705 loss_bbox: 0.291060 loss_dfl: 0.184238 loss: 1.330178 eta: 2 days, 9:33:56 batch_cost: 2.3154 data_cost: 0.0014 ips: 24.1862 images/s [10/15 21:03:13] ppdet.engine INFO: Epoch: [128] [460/523] learning_rate: 0.243875 loss_vfl: 0.856609 loss_bbox: 0.300491 loss_dfl: 0.191105 loss: 1.349433 eta: 2 days, 9:33:07 batch_cost: 2.2246 data_cost: 0.0013 ips: 25.1725 images/s [10/15 21:04:00] ppdet.engine INFO: Epoch: [128] [480/523] learning_rate: 0.243797 loss_vfl: 0.859606 loss_bbox: 0.303579 loss_dfl: 0.193804 loss: 1.362725 eta: 2 days, 9:32:19 batch_cost: 2.2723 data_cost: 0.0013 ips: 24.6448 images/s [10/15 21:04:48] ppdet.engine INFO: Epoch: [128] [500/523] learning_rate: 0.243719 loss_vfl: 0.857755 loss_bbox: 0.306017 loss_dfl: 0.192981 loss: 1.354285 eta: 2 days, 9:31:32 batch_cost: 2.2761 data_cost: 0.0013 ips: 24.6039 images/s [10/15 21:05:30] ppdet.engine INFO: Epoch: [128] [520/523] learning_rate: 0.243640 loss_vfl: 0.862728 loss_bbox: 0.284254 loss_dfl: 0.189532 loss: 1.342391 eta: 2 days, 9:30:37 batch_cost: 1.9962 data_cost: 0.0012 ips: 28.0529 images/s [10/15 21:05:58] ppdet.engine INFO: Epoch: [129] [ 0/523] learning_rate: 0.243629 loss_vfl: 0.862728 loss_bbox: 0.282280 loss_dfl: 0.187957 loss: 1.334160 eta: 2 days, 9:30:52 batch_cost: 2.7879 data_cost: 0.6088 ips: 20.0865 images/s [10/15 21:06:50] ppdet.engine INFO: Epoch: [129] [ 20/523] learning_rate: 0.243550 loss_vfl: 0.853443 loss_bbox: 0.297987 loss_dfl: 0.188746 loss: 1.333519 eta: 2 days, 9:30:10 batch_cost: 2.4912 data_cost: 0.0031 ips: 22.4796 images/s [10/15 21:07:40] ppdet.engine INFO: Epoch: [129] [ 40/523] learning_rate: 0.243472 loss_vfl: 0.865826 loss_bbox: 0.280096 loss_dfl: 0.187204 loss: 1.335915 eta: 2 days, 9:29:25 batch_cost: 2.3684 data_cost: 0.0023 ips: 23.6447 images/s [10/15 21:08:30] ppdet.engine INFO: Epoch: [129] [ 60/523] learning_rate: 0.243394 loss_vfl: 0.852935 loss_bbox: 0.311818 loss_dfl: 0.201253 loss: 1.356949 eta: 2 days, 9:28:40 batch_cost: 2.3563 data_cost: 0.0018 ips: 23.7661 images/s [10/15 21:09:18] ppdet.engine INFO: Epoch: [129] [ 80/523] learning_rate: 0.243316 loss_vfl: 0.882601 loss_bbox: 0.277805 loss_dfl: 0.179188 loss: 1.343542 eta: 2 days, 9:27:53 batch_cost: 2.3050 data_cost: 0.0016 ips: 24.2955 images/s [10/15 21:10:07] ppdet.engine INFO: Epoch: [129] [100/523] learning_rate: 0.243238 loss_vfl: 0.886606 loss_bbox: 0.289111 loss_dfl: 0.190034 loss: 1.378195 eta: 2 days, 9:27:07 batch_cost: 2.3169 data_cost: 0.0014 ips: 24.1698 images/s [10/15 21:10:56] ppdet.engine INFO: Epoch: [129] [120/523] learning_rate: 0.243160 loss_vfl: 0.868665 loss_bbox: 0.275337 loss_dfl: 0.184373 loss: 1.343357 eta: 2 days, 9:26:22 batch_cost: 2.3699 data_cost: 0.0013 ips: 23.6299 images/s [10/15 21:11:46] ppdet.engine INFO: Epoch: [129] [140/523] learning_rate: 0.243081 loss_vfl: 0.861552 loss_bbox: 0.293327 loss_dfl: 0.185057 loss: 1.357848 eta: 2 days, 9:25:38 batch_cost: 2.3994 data_cost: 0.0014 ips: 23.3391 images/s [10/15 21:12:34] ppdet.engine INFO: Epoch: [129] [160/523] learning_rate: 0.243003 loss_vfl: 0.871148 loss_bbox: 0.305441 loss_dfl: 0.191794 loss: 1.360583 eta: 2 days, 9:24:51 batch_cost: 2.2767 data_cost: 0.0013 ips: 24.5972 images/s [10/15 21:13:23] ppdet.engine INFO: Epoch: [129] [180/523] learning_rate: 0.242925 loss_vfl: 0.845803 loss_bbox: 0.302524 loss_dfl: 0.196348 loss: 1.351215 eta: 2 days, 9:24:04 batch_cost: 2.2718 data_cost: 0.0014 ips: 24.6498 images/s [10/15 21:14:11] ppdet.engine INFO: Epoch: [129] [200/523] learning_rate: 0.242847 loss_vfl: 0.852981 loss_bbox: 0.278426 loss_dfl: 0.182347 loss: 1.327509 eta: 2 days, 9:23:17 batch_cost: 2.3160 data_cost: 0.0014 ips: 24.1798 images/s [10/15 21:14:59] ppdet.engine INFO: Epoch: [129] [220/523] learning_rate: 0.242768 loss_vfl: 0.873057 loss_bbox: 0.285325 loss_dfl: 0.184031 loss: 1.352882 eta: 2 days, 9:22:30 batch_cost: 2.2801 data_cost: 0.0014 ips: 24.5606 images/s [10/15 21:15:47] ppdet.engine INFO: Epoch: [129] [240/523] learning_rate: 0.242690 loss_vfl: 0.868381 loss_bbox: 0.293837 loss_dfl: 0.189880 loss: 1.353175 eta: 2 days, 9:21:43 batch_cost: 2.2774 data_cost: 0.0054 ips: 24.5892 images/s [10/15 21:16:34] ppdet.engine INFO: Epoch: [129] [260/523] learning_rate: 0.242612 loss_vfl: 0.855862 loss_bbox: 0.293648 loss_dfl: 0.190323 loss: 1.342926 eta: 2 days, 9:20:54 batch_cost: 2.2206 data_cost: 0.0013 ips: 25.2189 images/s [10/15 21:17:22] ppdet.engine INFO: Epoch: [129] [280/523] learning_rate: 0.242534 loss_vfl: 0.848047 loss_bbox: 0.302320 loss_dfl: 0.198250 loss: 1.353932 eta: 2 days, 9:20:07 batch_cost: 2.2830 data_cost: 0.0014 ips: 24.5287 images/s [10/15 21:18:10] ppdet.engine INFO: Epoch: [129] [300/523] learning_rate: 0.242455 loss_vfl: 0.871976 loss_bbox: 0.307982 loss_dfl: 0.189753 loss: 1.375391 eta: 2 days, 9:19:21 batch_cost: 2.3244 data_cost: 0.0012 ips: 24.0919 images/s [10/15 21:18:58] ppdet.engine INFO: Epoch: [129] [320/523] learning_rate: 0.242377 loss_vfl: 0.857137 loss_bbox: 0.303329 loss_dfl: 0.192771 loss: 1.361838 eta: 2 days, 9:18:34 batch_cost: 2.2870 data_cost: 0.0015 ips: 24.4860 images/s [10/15 21:19:45] ppdet.engine INFO: Epoch: [129] [340/523] learning_rate: 0.242299 loss_vfl: 0.856718 loss_bbox: 0.304913 loss_dfl: 0.200626 loss: 1.359907 eta: 2 days, 9:17:45 batch_cost: 2.2335 data_cost: 0.0013 ips: 25.0722 images/s [10/15 21:20:33] ppdet.engine INFO: Epoch: [129] [360/523] learning_rate: 0.242221 loss_vfl: 0.862368 loss_bbox: 0.303792 loss_dfl: 0.195290 loss: 1.376783 eta: 2 days, 9:16:58 batch_cost: 2.2783 data_cost: 0.0017 ips: 24.5797 images/s [10/15 21:21:20] ppdet.engine INFO: Epoch: [129] [380/523] learning_rate: 0.242142 loss_vfl: 0.882870 loss_bbox: 0.291131 loss_dfl: 0.191276 loss: 1.368211 eta: 2 days, 9:16:10 batch_cost: 2.2707 data_cost: 0.0014 ips: 24.6615 images/s [10/15 21:22:07] ppdet.engine INFO: Epoch: [129] [400/523] learning_rate: 0.242064 loss_vfl: 0.859603 loss_bbox: 0.299256 loss_dfl: 0.194282 loss: 1.370869 eta: 2 days, 9:15:22 batch_cost: 2.2390 data_cost: 0.0013 ips: 25.0109 images/s [10/15 21:22:54] ppdet.engine INFO: Epoch: [129] [420/523] learning_rate: 0.241986 loss_vfl: 0.875671 loss_bbox: 0.299079 loss_dfl: 0.192490 loss: 1.364332 eta: 2 days, 9:14:33 batch_cost: 2.2151 data_cost: 0.0013 ips: 25.2810 images/s [10/15 21:23:41] ppdet.engine INFO: Epoch: [129] [440/523] learning_rate: 0.241907 loss_vfl: 0.868770 loss_bbox: 0.284319 loss_dfl: 0.189378 loss: 1.373165 eta: 2 days, 9:13:46 batch_cost: 2.2621 data_cost: 0.0013 ips: 24.7557 images/s [10/15 21:24:29] ppdet.engine INFO: Epoch: [129] [460/523] learning_rate: 0.241829 loss_vfl: 0.880103 loss_bbox: 0.300314 loss_dfl: 0.191500 loss: 1.366704 eta: 2 days, 9:12:58 batch_cost: 2.2563 data_cost: 0.0016 ips: 24.8197 images/s [10/15 21:25:16] ppdet.engine INFO: Epoch: [129] [480/523] learning_rate: 0.241751 loss_vfl: 0.870691 loss_bbox: 0.299609 loss_dfl: 0.191789 loss: 1.348478 eta: 2 days, 9:12:10 batch_cost: 2.2622 data_cost: 0.0013 ips: 24.7548 images/s [10/15 21:26:04] ppdet.engine INFO: Epoch: [129] [500/523] learning_rate: 0.241672 loss_vfl: 0.866882 loss_bbox: 0.303719 loss_dfl: 0.195527 loss: 1.355719 eta: 2 days, 9:11:22 batch_cost: 2.2586 data_cost: 0.0013 ips: 24.7938 images/s [10/15 21:26:46] ppdet.engine INFO: Epoch: [129] [520/523] learning_rate: 0.241594 loss_vfl: 0.865516 loss_bbox: 0.290339 loss_dfl: 0.190169 loss: 1.376051 eta: 2 days, 9:10:27 batch_cost: 1.9694 data_cost: 0.0012 ips: 28.4346 images/s [10/15 21:26:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/15 21:26:53] ppdet.engine INFO: Eval iter: 0 [10/15 21:27:32] ppdet.engine INFO: Eval iter: 100 [10/15 21:27:52] ppdet.engine INFO: Eval iter: 200 [10/15 21:28:12] ppdet.engine INFO: Eval iter: 300 [10/15 21:28:32] ppdet.engine INFO: Eval iter: 400 [10/15 21:28:52] ppdet.engine INFO: Eval iter: 500 [10/15 21:29:11] ppdet.engine INFO: Eval iter: 600 [10/15 21:29:32] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.12s) creating index... index created! [10/15 21:29:33] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.67s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=104.10s). Accumulating evaluation results... DONE (t=18.87s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.340 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.494 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.358 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 ] = 0.365 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.295 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.468 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 ] = 0.228 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.558 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735 [10/15 21:31:45] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.496560328656905 [10/15 21:31:45] ppdet.engine INFO: Best test bbox ap is 0.341. [10/15 21:31:47] ppdet.engine INFO: Epoch: [130] [ 0/523] learning_rate: 0.241582 loss_vfl: 0.876027 loss_bbox: 0.297454 loss_dfl: 0.196250 loss: 1.397556 eta: 2 days, 9:10:19 batch_cost: 1.9410 data_cost: 0.0013 ips: 28.8516 images/s [10/15 21:32:39] ppdet.engine INFO: Epoch: [130] [ 20/523] learning_rate: 0.241504 loss_vfl: 0.835679 loss_bbox: 0.296304 loss_dfl: 0.199045 loss: 1.342785 eta: 2 days, 9:09:36 batch_cost: 2.4471 data_cost: 0.0019 ips: 22.8842 images/s [10/15 21:33:28] ppdet.engine INFO: Epoch: [130] [ 40/523] learning_rate: 0.241426 loss_vfl: 0.859417 loss_bbox: 0.303320 loss_dfl: 0.200879 loss: 1.347256 eta: 2 days, 9:08:51 batch_cost: 2.3618 data_cost: 0.0016 ips: 23.7106 images/s [10/15 21:34:17] ppdet.engine INFO: Epoch: [130] [ 60/523] learning_rate: 0.241347 loss_vfl: 0.867126 loss_bbox: 0.307716 loss_dfl: 0.194256 loss: 1.363854 eta: 2 days, 9:08:05 batch_cost: 2.3512 data_cost: 0.0014 ips: 23.8181 images/s [10/15 21:35:06] ppdet.engine INFO: Epoch: [130] [ 80/523] learning_rate: 0.241269 loss_vfl: 0.862603 loss_bbox: 0.303729 loss_dfl: 0.194931 loss: 1.352196 eta: 2 days, 9:07:20 batch_cost: 2.3403 data_cost: 0.0013 ips: 23.9282 images/s [10/15 21:35:54] ppdet.engine INFO: Epoch: [130] [100/523] learning_rate: 0.241191 loss_vfl: 0.879293 loss_bbox: 0.286893 loss_dfl: 0.188008 loss: 1.349568 eta: 2 days, 9:06:33 batch_cost: 2.2980 data_cost: 0.0013 ips: 24.3694 images/s [10/15 21:36:43] ppdet.engine INFO: Epoch: [130] [120/523] learning_rate: 0.241112 loss_vfl: 0.856265 loss_bbox: 0.291938 loss_dfl: 0.189599 loss: 1.347571 eta: 2 days, 9:05:47 batch_cost: 2.3322 data_cost: 0.0020 ips: 24.0118 images/s [10/15 21:37:32] ppdet.engine INFO: Epoch: [130] [140/523] learning_rate: 0.241034 loss_vfl: 0.854452 loss_bbox: 0.303664 loss_dfl: 0.190621 loss: 1.365147 eta: 2 days, 9:05:01 batch_cost: 2.3388 data_cost: 0.0013 ips: 23.9441 images/s [10/15 21:38:20] ppdet.engine INFO: Epoch: [130] [160/523] learning_rate: 0.240955 loss_vfl: 0.856540 loss_bbox: 0.302843 loss_dfl: 0.187166 loss: 1.341729 eta: 2 days, 9:04:14 batch_cost: 2.2776 data_cost: 0.0014 ips: 24.5870 images/s [10/15 21:39:08] ppdet.engine INFO: Epoch: [130] [180/523] learning_rate: 0.240877 loss_vfl: 0.865837 loss_bbox: 0.310867 loss_dfl: 0.199908 loss: 1.365861 eta: 2 days, 9:03:26 batch_cost: 2.2480 data_cost: 0.0012 ips: 24.9108 images/s [10/15 21:39:57] ppdet.engine INFO: Epoch: [130] [200/523] learning_rate: 0.240799 loss_vfl: 0.881678 loss_bbox: 0.275742 loss_dfl: 0.186109 loss: 1.354557 eta: 2 days, 9:02:40 batch_cost: 2.3198 data_cost: 0.0014 ips: 24.1400 images/s [10/15 21:40:46] ppdet.engine INFO: Epoch: [130] [220/523] learning_rate: 0.240720 loss_vfl: 0.878145 loss_bbox: 0.308084 loss_dfl: 0.193926 loss: 1.389642 eta: 2 days, 9:01:54 batch_cost: 2.3360 data_cost: 0.0014 ips: 23.9725 images/s [10/15 21:41:35] ppdet.engine INFO: Epoch: [130] [240/523] learning_rate: 0.240642 loss_vfl: 0.866078 loss_bbox: 0.303084 loss_dfl: 0.200696 loss: 1.376918 eta: 2 days, 9:01:08 batch_cost: 2.3374 data_cost: 0.0014 ips: 23.9584 images/s [10/15 21:42:24] ppdet.engine INFO: Epoch: [130] [260/523] learning_rate: 0.240563 loss_vfl: 0.874829 loss_bbox: 0.288606 loss_dfl: 0.183020 loss: 1.332830 eta: 2 days, 9:00:23 batch_cost: 2.3589 data_cost: 0.0014 ips: 23.7396 images/s [10/15 21:43:11] ppdet.engine INFO: Epoch: [130] [280/523] learning_rate: 0.240485 loss_vfl: 0.869661 loss_bbox: 0.287228 loss_dfl: 0.196147 loss: 1.365119 eta: 2 days, 8:59:36 batch_cost: 2.2648 data_cost: 0.0013 ips: 24.7258 images/s [10/15 21:44:00] ppdet.engine INFO: Epoch: [130] [300/523] learning_rate: 0.240406 loss_vfl: 0.859129 loss_bbox: 0.296120 loss_dfl: 0.203721 loss: 1.370286 eta: 2 days, 8:58:49 batch_cost: 2.3127 data_cost: 0.0013 ips: 24.2137 images/s [10/15 21:44:48] ppdet.engine INFO: Epoch: [130] [320/523] learning_rate: 0.240328 loss_vfl: 0.848842 loss_bbox: 0.284472 loss_dfl: 0.189836 loss: 1.327366 eta: 2 days, 8:58:03 batch_cost: 2.3126 data_cost: 0.0013 ips: 24.2151 images/s [10/15 21:45:36] ppdet.engine INFO: Epoch: [130] [340/523] learning_rate: 0.240250 loss_vfl: 0.858445 loss_bbox: 0.306786 loss_dfl: 0.191998 loss: 1.365664 eta: 2 days, 8:57:16 batch_cost: 2.2989 data_cost: 0.0032 ips: 24.3592 images/s [10/15 21:46:26] ppdet.engine INFO: Epoch: [130] [360/523] learning_rate: 0.240171 loss_vfl: 0.857415 loss_bbox: 0.297607 loss_dfl: 0.188804 loss: 1.345492 eta: 2 days, 8:56:32 batch_cost: 2.3883 data_cost: 0.0053 ips: 23.4473 images/s [10/15 21:47:14] ppdet.engine INFO: Epoch: [130] [380/523] learning_rate: 0.240093 loss_vfl: 0.844823 loss_bbox: 0.291434 loss_dfl: 0.192075 loss: 1.336054 eta: 2 days, 8:55:44 batch_cost: 2.2745 data_cost: 0.0013 ips: 24.6204 images/s [10/15 21:48:00] ppdet.engine INFO: Epoch: [130] [400/523] learning_rate: 0.240014 loss_vfl: 0.865711 loss_bbox: 0.305806 loss_dfl: 0.199287 loss: 1.372070 eta: 2 days, 8:54:56 batch_cost: 2.2326 data_cost: 0.0013 ips: 25.0832 images/s [10/15 21:48:47] ppdet.engine INFO: Epoch: [130] [420/523] learning_rate: 0.239936 loss_vfl: 0.862872 loss_bbox: 0.293292 loss_dfl: 0.187344 loss: 1.336739 eta: 2 days, 8:54:08 batch_cost: 2.2333 data_cost: 0.0012 ips: 25.0750 images/s [10/15 21:49:35] ppdet.engine INFO: Epoch: [130] [440/523] learning_rate: 0.239857 loss_vfl: 0.873752 loss_bbox: 0.296025 loss_dfl: 0.194677 loss: 1.356598 eta: 2 days, 8:53:20 batch_cost: 2.2795 data_cost: 0.0013 ips: 24.5672 images/s [10/15 21:50:23] ppdet.engine INFO: Epoch: [130] [460/523] learning_rate: 0.239779 loss_vfl: 0.875457 loss_bbox: 0.280732 loss_dfl: 0.182530 loss: 1.346546 eta: 2 days, 8:52:35 batch_cost: 2.3313 data_cost: 0.0012 ips: 24.0211 images/s [10/15 21:51:11] ppdet.engine INFO: Epoch: [130] [480/523] learning_rate: 0.239700 loss_vfl: 0.875928 loss_bbox: 0.296066 loss_dfl: 0.193454 loss: 1.364161 eta: 2 days, 8:51:47 batch_cost: 2.2566 data_cost: 0.0012 ips: 24.8162 images/s [10/15 21:51:59] ppdet.engine INFO: Epoch: [130] [500/523] learning_rate: 0.239622 loss_vfl: 0.866124 loss_bbox: 0.290425 loss_dfl: 0.192189 loss: 1.362074 eta: 2 days, 8:51:01 batch_cost: 2.3273 data_cost: 0.0013 ips: 24.0626 images/s [10/15 21:52:42] ppdet.engine INFO: Epoch: [130] [520/523] learning_rate: 0.239543 loss_vfl: 0.867232 loss_bbox: 0.309957 loss_dfl: 0.193758 loss: 1.377120 eta: 2 days, 8:50:07 batch_cost: 2.0441 data_cost: 0.0013 ips: 27.3960 images/s [10/15 21:53:11] ppdet.engine INFO: Epoch: [131] [ 0/523] learning_rate: 0.239531 loss_vfl: 0.859047 loss_bbox: 0.310273 loss_dfl: 0.199331 loss: 1.366848 eta: 2 days, 8:50:23 batch_cost: 2.9278 data_cost: 0.4872 ips: 19.1267 images/s [10/15 21:54:00] ppdet.engine INFO: Epoch: [131] [ 20/523] learning_rate: 0.239453 loss_vfl: 0.836221 loss_bbox: 0.287761 loss_dfl: 0.192785 loss: 1.320473 eta: 2 days, 8:49:39 batch_cost: 2.3824 data_cost: 0.0015 ips: 23.5053 images/s [10/15 21:54:49] ppdet.engine INFO: Epoch: [131] [ 40/523] learning_rate: 0.239374 loss_vfl: 0.866649 loss_bbox: 0.302560 loss_dfl: 0.201277 loss: 1.370960 eta: 2 days, 8:48:52 batch_cost: 2.2932 data_cost: 0.0023 ips: 24.4196 images/s [10/15 21:55:38] ppdet.engine INFO: Epoch: [131] [ 60/523] learning_rate: 0.239296 loss_vfl: 0.858068 loss_bbox: 0.285146 loss_dfl: 0.190828 loss: 1.372180 eta: 2 days, 8:48:07 batch_cost: 2.3642 data_cost: 0.0013 ips: 23.6867 images/s [10/15 21:56:27] ppdet.engine INFO: Epoch: [131] [ 80/523] learning_rate: 0.239217 loss_vfl: 0.861080 loss_bbox: 0.299635 loss_dfl: 0.187529 loss: 1.367488 eta: 2 days, 8:47:21 batch_cost: 2.3388 data_cost: 0.0013 ips: 23.9439 images/s [10/15 21:57:15] ppdet.engine INFO: Epoch: [131] [100/523] learning_rate: 0.239139 loss_vfl: 0.863661 loss_bbox: 0.287504 loss_dfl: 0.188215 loss: 1.349864 eta: 2 days, 8:46:34 batch_cost: 2.2838 data_cost: 0.0013 ips: 24.5204 images/s [10/15 21:58:04] ppdet.engine INFO: Epoch: [131] [120/523] learning_rate: 0.239060 loss_vfl: 0.856696 loss_bbox: 0.304378 loss_dfl: 0.192392 loss: 1.342257 eta: 2 days, 8:45:48 batch_cost: 2.3345 data_cost: 0.0013 ips: 23.9885 images/s [10/15 21:58:52] ppdet.engine INFO: Epoch: [131] [140/523] learning_rate: 0.238982 loss_vfl: 0.870232 loss_bbox: 0.308986 loss_dfl: 0.198382 loss: 1.360596 eta: 2 days, 8:45:01 batch_cost: 2.2781 data_cost: 0.0012 ips: 24.5824 images/s [10/15 21:59:40] ppdet.engine INFO: Epoch: [131] [160/523] learning_rate: 0.238903 loss_vfl: 0.861962 loss_bbox: 0.297938 loss_dfl: 0.198865 loss: 1.361344 eta: 2 days, 8:44:14 batch_cost: 2.2918 data_cost: 0.0025 ips: 24.4345 images/s [10/15 22:00:29] ppdet.engine INFO: Epoch: [131] [180/523] learning_rate: 0.238825 loss_vfl: 0.846050 loss_bbox: 0.301679 loss_dfl: 0.192825 loss: 1.347334 eta: 2 days, 8:43:29 batch_cost: 2.3586 data_cost: 0.0013 ips: 23.7427 images/s [10/15 22:01:16] ppdet.engine INFO: Epoch: [131] [200/523] learning_rate: 0.238746 loss_vfl: 0.867844 loss_bbox: 0.289994 loss_dfl: 0.184782 loss: 1.325241 eta: 2 days, 8:42:40 batch_cost: 2.2373 data_cost: 0.0012 ips: 25.0304 images/s [10/15 22:02:05] ppdet.engine INFO: Epoch: [131] [220/523] learning_rate: 0.238667 loss_vfl: 0.852616 loss_bbox: 0.299215 loss_dfl: 0.192408 loss: 1.341133 eta: 2 days, 8:41:54 batch_cost: 2.3094 data_cost: 0.0013 ips: 24.2491 images/s [10/15 22:02:54] ppdet.engine INFO: Epoch: [131] [240/523] learning_rate: 0.238589 loss_vfl: 0.864217 loss_bbox: 0.289074 loss_dfl: 0.193067 loss: 1.360740 eta: 2 days, 8:41:08 batch_cost: 2.3193 data_cost: 0.0013 ips: 24.1457 images/s [10/15 22:03:43] ppdet.engine INFO: Epoch: [131] [260/523] learning_rate: 0.238510 loss_vfl: 0.877210 loss_bbox: 0.300403 loss_dfl: 0.191874 loss: 1.364281 eta: 2 days, 8:40:23 batch_cost: 2.3594 data_cost: 0.0013 ips: 23.7347 images/s [10/15 22:04:32] ppdet.engine INFO: Epoch: [131] [280/523] learning_rate: 0.238432 loss_vfl: 0.853750 loss_bbox: 0.290392 loss_dfl: 0.190422 loss: 1.334089 eta: 2 days, 8:39:37 batch_cost: 2.3320 data_cost: 0.0013 ips: 24.0133 images/s [10/15 22:05:20] ppdet.engine INFO: Epoch: [131] [300/523] learning_rate: 0.238353 loss_vfl: 0.864382 loss_bbox: 0.277928 loss_dfl: 0.190449 loss: 1.343893 eta: 2 days, 8:38:51 batch_cost: 2.3305 data_cost: 0.0013 ips: 24.0290 images/s [10/15 22:06:09] ppdet.engine INFO: Epoch: [131] [320/523] learning_rate: 0.238274 loss_vfl: 0.862669 loss_bbox: 0.298041 loss_dfl: 0.191775 loss: 1.367875 eta: 2 days, 8:38:04 batch_cost: 2.2841 data_cost: 0.0013 ips: 24.5174 images/s [10/15 22:06:57] ppdet.engine INFO: Epoch: [131] [340/523] learning_rate: 0.238196 loss_vfl: 0.877651 loss_bbox: 0.290192 loss_dfl: 0.190025 loss: 1.361690 eta: 2 days, 8:37:17 batch_cost: 2.3081 data_cost: 0.0013 ips: 24.2621 images/s [10/15 22:07:47] ppdet.engine INFO: Epoch: [131] [360/523] learning_rate: 0.238117 loss_vfl: 0.852390 loss_bbox: 0.297848 loss_dfl: 0.197914 loss: 1.383235 eta: 2 days, 8:36:32 batch_cost: 2.3568 data_cost: 0.0013 ips: 23.7615 images/s [10/15 22:08:35] ppdet.engine INFO: Epoch: [131] [380/523] learning_rate: 0.238039 loss_vfl: 0.860940 loss_bbox: 0.315433 loss_dfl: 0.200818 loss: 1.387825 eta: 2 days, 8:35:46 batch_cost: 2.3312 data_cost: 0.0013 ips: 24.0218 images/s [10/15 22:09:25] ppdet.engine INFO: Epoch: [131] [400/523] learning_rate: 0.237960 loss_vfl: 0.872162 loss_bbox: 0.283064 loss_dfl: 0.182924 loss: 1.350312 eta: 2 days, 8:35:01 batch_cost: 2.3662 data_cost: 0.0013 ips: 23.6667 images/s [10/15 22:10:12] ppdet.engine INFO: Epoch: [131] [420/523] learning_rate: 0.237881 loss_vfl: 0.873773 loss_bbox: 0.303545 loss_dfl: 0.190447 loss: 1.355656 eta: 2 days, 8:34:14 batch_cost: 2.2678 data_cost: 0.0013 ips: 24.6933 images/s [10/15 22:11:01] ppdet.engine INFO: Epoch: [131] [440/523] learning_rate: 0.237803 loss_vfl: 0.871233 loss_bbox: 0.295865 loss_dfl: 0.188836 loss: 1.349991 eta: 2 days, 8:33:28 batch_cost: 2.3419 data_cost: 0.0013 ips: 23.9119 images/s [10/15 22:11:49] ppdet.engine INFO: Epoch: [131] [460/523] learning_rate: 0.237724 loss_vfl: 0.859747 loss_bbox: 0.301536 loss_dfl: 0.198949 loss: 1.364097 eta: 2 days, 8:32:41 batch_cost: 2.2809 data_cost: 0.0012 ips: 24.5517 images/s [10/15 22:12:38] ppdet.engine INFO: Epoch: [131] [480/523] learning_rate: 0.237645 loss_vfl: 0.880467 loss_bbox: 0.303457 loss_dfl: 0.195216 loss: 1.353329 eta: 2 days, 8:31:54 batch_cost: 2.3059 data_cost: 0.0014 ips: 24.2856 images/s [10/15 22:13:26] ppdet.engine INFO: Epoch: [131] [500/523] learning_rate: 0.237567 loss_vfl: 0.852898 loss_bbox: 0.301541 loss_dfl: 0.193904 loss: 1.355195 eta: 2 days, 8:31:08 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3429 images/s [10/15 22:14:08] ppdet.engine INFO: Epoch: [131] [520/523] learning_rate: 0.237488 loss_vfl: 0.883637 loss_bbox: 0.305901 loss_dfl: 0.196861 loss: 1.369412 eta: 2 days, 8:30:14 batch_cost: 2.0104 data_cost: 0.0012 ips: 27.8545 images/s [10/15 22:14:35] ppdet.engine INFO: Epoch: [132] [ 0/523] learning_rate: 0.237476 loss_vfl: 0.883637 loss_bbox: 0.304084 loss_dfl: 0.195968 loss: 1.370426 eta: 2 days, 8:30:28 batch_cost: 2.8589 data_cost: 0.2845 ips: 19.5880 images/s [10/15 22:15:27] ppdet.engine INFO: Epoch: [132] [ 20/523] learning_rate: 0.237398 loss_vfl: 0.855970 loss_bbox: 0.278064 loss_dfl: 0.185754 loss: 1.345221 eta: 2 days, 8:29:46 batch_cost: 2.4970 data_cost: 0.0014 ips: 22.4266 images/s [10/15 22:16:18] ppdet.engine INFO: Epoch: [132] [ 40/523] learning_rate: 0.237319 loss_vfl: 0.855631 loss_bbox: 0.298643 loss_dfl: 0.193719 loss: 1.356521 eta: 2 days, 8:29:02 batch_cost: 2.4083 data_cost: 0.0015 ips: 23.2530 images/s [10/15 22:17:08] ppdet.engine INFO: Epoch: [132] [ 60/523] learning_rate: 0.237240 loss_vfl: 0.851492 loss_bbox: 0.290142 loss_dfl: 0.190021 loss: 1.370588 eta: 2 days, 8:28:18 batch_cost: 2.4100 data_cost: 0.0014 ips: 23.2364 images/s [10/15 22:17:57] ppdet.engine INFO: Epoch: [132] [ 80/523] learning_rate: 0.237162 loss_vfl: 0.863061 loss_bbox: 0.296886 loss_dfl: 0.189111 loss: 1.348523 eta: 2 days, 8:27:33 batch_cost: 2.3498 data_cost: 0.0013 ips: 23.8315 images/s [10/15 22:18:45] ppdet.engine INFO: Epoch: [132] [100/523] learning_rate: 0.237083 loss_vfl: 0.873453 loss_bbox: 0.286803 loss_dfl: 0.184315 loss: 1.346860 eta: 2 days, 8:26:46 batch_cost: 2.3136 data_cost: 0.0013 ips: 24.2051 images/s [10/15 22:19:34] ppdet.engine INFO: Epoch: [132] [120/523] learning_rate: 0.237004 loss_vfl: 0.879165 loss_bbox: 0.305819 loss_dfl: 0.200440 loss: 1.362157 eta: 2 days, 8:25:59 batch_cost: 2.2898 data_cost: 0.0014 ips: 24.4564 images/s [10/15 22:20:24] ppdet.engine INFO: Epoch: [132] [140/523] learning_rate: 0.236925 loss_vfl: 0.878869 loss_bbox: 0.270617 loss_dfl: 0.181201 loss: 1.326406 eta: 2 days, 8:25:15 batch_cost: 2.3830 data_cost: 0.0026 ips: 23.4994 images/s [10/15 22:21:13] ppdet.engine INFO: Epoch: [132] [160/523] learning_rate: 0.236847 loss_vfl: 0.850320 loss_bbox: 0.307899 loss_dfl: 0.190552 loss: 1.359000 eta: 2 days, 8:24:29 batch_cost: 2.3425 data_cost: 0.0014 ips: 23.9066 images/s [10/15 22:22:03] ppdet.engine INFO: Epoch: [132] [180/523] learning_rate: 0.236768 loss_vfl: 0.853498 loss_bbox: 0.295034 loss_dfl: 0.191765 loss: 1.325471 eta: 2 days, 8:23:45 batch_cost: 2.4013 data_cost: 0.0013 ips: 23.3207 images/s [10/15 22:22:51] ppdet.engine INFO: Epoch: [132] [200/523] learning_rate: 0.236689 loss_vfl: 0.855861 loss_bbox: 0.295681 loss_dfl: 0.188142 loss: 1.353038 eta: 2 days, 8:22:59 batch_cost: 2.3051 data_cost: 0.0014 ips: 24.2937 images/s [10/15 22:23:39] ppdet.engine INFO: Epoch: [132] [220/523] learning_rate: 0.236610 loss_vfl: 0.864065 loss_bbox: 0.308577 loss_dfl: 0.196126 loss: 1.346606 eta: 2 days, 8:22:11 batch_cost: 2.2826 data_cost: 0.0013 ips: 24.5330 images/s [10/15 22:24:28] ppdet.engine INFO: Epoch: [132] [240/523] learning_rate: 0.236532 loss_vfl: 0.862898 loss_bbox: 0.283122 loss_dfl: 0.185382 loss: 1.339119 eta: 2 days, 8:21:25 batch_cost: 2.3048 data_cost: 0.0013 ips: 24.2971 images/s [10/15 22:25:17] ppdet.engine INFO: Epoch: [132] [260/523] learning_rate: 0.236453 loss_vfl: 0.865044 loss_bbox: 0.286167 loss_dfl: 0.188647 loss: 1.332921 eta: 2 days, 8:20:40 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7018 images/s [10/15 22:26:05] ppdet.engine INFO: Epoch: [132] [280/523] learning_rate: 0.236374 loss_vfl: 0.860045 loss_bbox: 0.295389 loss_dfl: 0.197544 loss: 1.344472 eta: 2 days, 8:19:52 batch_cost: 2.2468 data_cost: 0.0013 ips: 24.9242 images/s [10/15 22:26:52] ppdet.engine INFO: Epoch: [132] [300/523] learning_rate: 0.236295 loss_vfl: 0.864193 loss_bbox: 0.311415 loss_dfl: 0.200554 loss: 1.385191 eta: 2 days, 8:19:04 batch_cost: 2.2787 data_cost: 0.0015 ips: 24.5755 images/s [10/15 22:27:41] ppdet.engine INFO: Epoch: [132] [320/523] learning_rate: 0.236217 loss_vfl: 0.867503 loss_bbox: 0.296935 loss_dfl: 0.194826 loss: 1.357134 eta: 2 days, 8:18:18 batch_cost: 2.3075 data_cost: 0.0015 ips: 24.2685 images/s [10/15 22:28:29] ppdet.engine INFO: Epoch: [132] [340/523] learning_rate: 0.236138 loss_vfl: 0.875764 loss_bbox: 0.277460 loss_dfl: 0.187342 loss: 1.348148 eta: 2 days, 8:17:30 batch_cost: 2.2673 data_cost: 0.0013 ips: 24.6990 images/s [10/15 22:29:17] ppdet.engine INFO: Epoch: [132] [360/523] learning_rate: 0.236059 loss_vfl: 0.855353 loss_bbox: 0.280167 loss_dfl: 0.180988 loss: 1.324584 eta: 2 days, 8:16:44 batch_cost: 2.2957 data_cost: 0.0012 ips: 24.3934 images/s [10/15 22:30:06] ppdet.engine INFO: Epoch: [132] [380/523] learning_rate: 0.235980 loss_vfl: 0.882963 loss_bbox: 0.317256 loss_dfl: 0.201900 loss: 1.390698 eta: 2 days, 8:15:58 batch_cost: 2.3604 data_cost: 0.0012 ips: 23.7243 images/s [10/15 22:30:56] ppdet.engine INFO: Epoch: [132] [400/523] learning_rate: 0.235902 loss_vfl: 0.871929 loss_bbox: 0.270941 loss_dfl: 0.187815 loss: 1.341385 eta: 2 days, 8:15:13 batch_cost: 2.3407 data_cost: 0.0013 ips: 23.9243 images/s [10/15 22:31:45] ppdet.engine INFO: Epoch: [132] [420/523] learning_rate: 0.235823 loss_vfl: 0.856455 loss_bbox: 0.288783 loss_dfl: 0.187653 loss: 1.339359 eta: 2 days, 8:14:27 batch_cost: 2.3483 data_cost: 0.0013 ips: 23.8467 images/s [10/15 22:32:35] ppdet.engine INFO: Epoch: [132] [440/523] learning_rate: 0.235744 loss_vfl: 0.867812 loss_bbox: 0.319106 loss_dfl: 0.203325 loss: 1.377750 eta: 2 days, 8:13:43 batch_cost: 2.3947 data_cost: 0.0013 ips: 23.3851 images/s [10/15 22:33:24] ppdet.engine INFO: Epoch: [132] [460/523] learning_rate: 0.235665 loss_vfl: 0.877693 loss_bbox: 0.297903 loss_dfl: 0.194000 loss: 1.345443 eta: 2 days, 8:12:57 batch_cost: 2.3401 data_cost: 0.0013 ips: 23.9306 images/s [10/15 22:34:12] ppdet.engine INFO: Epoch: [132] [480/523] learning_rate: 0.235586 loss_vfl: 0.862572 loss_bbox: 0.301111 loss_dfl: 0.194164 loss: 1.369990 eta: 2 days, 8:12:11 batch_cost: 2.3192 data_cost: 0.0013 ips: 24.1458 images/s [10/15 22:35:00] ppdet.engine INFO: Epoch: [132] [500/523] learning_rate: 0.235508 loss_vfl: 0.853888 loss_bbox: 0.272144 loss_dfl: 0.182306 loss: 1.318503 eta: 2 days, 8:11:24 batch_cost: 2.2955 data_cost: 0.0012 ips: 24.3951 images/s [10/15 22:35:43] ppdet.engine INFO: Epoch: [132] [520/523] learning_rate: 0.235429 loss_vfl: 0.872036 loss_bbox: 0.297701 loss_dfl: 0.191305 loss: 1.345974 eta: 2 days, 8:10:31 batch_cost: 2.0413 data_cost: 0.0012 ips: 27.4338 images/s [10/15 22:36:14] ppdet.engine INFO: Epoch: [133] [ 0/523] learning_rate: 0.235417 loss_vfl: 0.876113 loss_bbox: 0.298847 loss_dfl: 0.189265 loss: 1.345974 eta: 2 days, 8:10:48 batch_cost: 3.0111 data_cost: 0.6690 ips: 18.5978 images/s [10/15 22:37:04] ppdet.engine INFO: Epoch: [133] [ 20/523] learning_rate: 0.235338 loss_vfl: 0.852725 loss_bbox: 0.296294 loss_dfl: 0.198399 loss: 1.371016 eta: 2 days, 8:10:05 batch_cost: 2.4160 data_cost: 0.0012 ips: 23.1785 images/s [10/15 22:37:54] ppdet.engine INFO: Epoch: [133] [ 40/523] learning_rate: 0.235259 loss_vfl: 0.878788 loss_bbox: 0.266600 loss_dfl: 0.181173 loss: 1.343994 eta: 2 days, 8:09:20 batch_cost: 2.3845 data_cost: 0.0027 ips: 23.4853 images/s [10/15 22:38:44] ppdet.engine INFO: Epoch: [133] [ 60/523] learning_rate: 0.235180 loss_vfl: 0.861643 loss_bbox: 0.284692 loss_dfl: 0.188815 loss: 1.350936 eta: 2 days, 8:08:35 batch_cost: 2.3628 data_cost: 0.0014 ips: 23.7002 images/s [10/15 22:39:32] ppdet.engine INFO: Epoch: [133] [ 80/523] learning_rate: 0.235102 loss_vfl: 0.855351 loss_bbox: 0.277967 loss_dfl: 0.187503 loss: 1.330310 eta: 2 days, 8:07:48 batch_cost: 2.2946 data_cost: 0.0013 ips: 24.4050 images/s [10/15 22:40:19] ppdet.engine INFO: Epoch: [133] [100/523] learning_rate: 0.235023 loss_vfl: 0.850664 loss_bbox: 0.300304 loss_dfl: 0.192646 loss: 1.342430 eta: 2 days, 8:07:01 batch_cost: 2.2700 data_cost: 0.0013 ips: 24.6693 images/s [10/15 22:41:07] ppdet.engine INFO: Epoch: [133] [120/523] learning_rate: 0.234944 loss_vfl: 0.877118 loss_bbox: 0.281406 loss_dfl: 0.188173 loss: 1.356425 eta: 2 days, 8:06:13 batch_cost: 2.2770 data_cost: 0.0013 ips: 24.5934 images/s [10/15 22:41:56] ppdet.engine INFO: Epoch: [133] [140/523] learning_rate: 0.234865 loss_vfl: 0.863429 loss_bbox: 0.296860 loss_dfl: 0.185174 loss: 1.345721 eta: 2 days, 8:05:27 batch_cost: 2.3123 data_cost: 0.0023 ips: 24.2188 images/s [10/15 22:42:44] ppdet.engine INFO: Epoch: [133] [160/523] learning_rate: 0.234786 loss_vfl: 0.864351 loss_bbox: 0.298813 loss_dfl: 0.194892 loss: 1.348237 eta: 2 days, 8:04:40 batch_cost: 2.3040 data_cost: 0.0014 ips: 24.3055 images/s [10/15 22:43:33] ppdet.engine INFO: Epoch: [133] [180/523] learning_rate: 0.234707 loss_vfl: 0.883954 loss_bbox: 0.271643 loss_dfl: 0.179812 loss: 1.336578 eta: 2 days, 8:03:54 batch_cost: 2.3136 data_cost: 0.0013 ips: 24.2044 images/s [10/15 22:44:22] ppdet.engine INFO: Epoch: [133] [200/523] learning_rate: 0.234628 loss_vfl: 0.859146 loss_bbox: 0.296106 loss_dfl: 0.183690 loss: 1.341025 eta: 2 days, 8:03:09 batch_cost: 2.3662 data_cost: 0.0012 ips: 23.6664 images/s [10/15 22:45:11] ppdet.engine INFO: Epoch: [133] [220/523] learning_rate: 0.234550 loss_vfl: 0.866034 loss_bbox: 0.310546 loss_dfl: 0.197153 loss: 1.380942 eta: 2 days, 8:02:22 batch_cost: 2.3128 data_cost: 0.0014 ips: 24.2132 images/s [10/15 22:45:59] ppdet.engine INFO: Epoch: [133] [240/523] learning_rate: 0.234471 loss_vfl: 0.885491 loss_bbox: 0.285412 loss_dfl: 0.186105 loss: 1.338746 eta: 2 days, 8:01:36 batch_cost: 2.3003 data_cost: 0.0012 ips: 24.3449 images/s [10/15 22:46:47] ppdet.engine INFO: Epoch: [133] [260/523] learning_rate: 0.234392 loss_vfl: 0.851417 loss_bbox: 0.290221 loss_dfl: 0.195039 loss: 1.342180 eta: 2 days, 8:00:49 batch_cost: 2.2809 data_cost: 0.0012 ips: 24.5520 images/s [10/15 22:47:36] ppdet.engine INFO: Epoch: [133] [280/523] learning_rate: 0.234313 loss_vfl: 0.864295 loss_bbox: 0.283907 loss_dfl: 0.188392 loss: 1.349846 eta: 2 days, 8:00:02 batch_cost: 2.3049 data_cost: 0.0013 ips: 24.2962 images/s [10/15 22:48:25] ppdet.engine INFO: Epoch: [133] [300/523] learning_rate: 0.234234 loss_vfl: 0.857549 loss_bbox: 0.295586 loss_dfl: 0.191867 loss: 1.353873 eta: 2 days, 7:59:16 batch_cost: 2.3345 data_cost: 0.0014 ips: 23.9881 images/s [10/15 22:49:13] ppdet.engine INFO: Epoch: [133] [320/523] learning_rate: 0.234155 loss_vfl: 0.847959 loss_bbox: 0.292941 loss_dfl: 0.189688 loss: 1.352186 eta: 2 days, 7:58:29 batch_cost: 2.2988 data_cost: 0.0013 ips: 24.3608 images/s [10/15 22:50:03] ppdet.engine INFO: Epoch: [133] [340/523] learning_rate: 0.234076 loss_vfl: 0.856914 loss_bbox: 0.292778 loss_dfl: 0.187564 loss: 1.342569 eta: 2 days, 7:57:45 batch_cost: 2.3933 data_cost: 0.0012 ips: 23.3986 images/s [10/15 22:50:51] ppdet.engine INFO: Epoch: [133] [360/523] learning_rate: 0.233997 loss_vfl: 0.857441 loss_bbox: 0.294615 loss_dfl: 0.195443 loss: 1.352681 eta: 2 days, 7:56:58 batch_cost: 2.2852 data_cost: 0.0013 ips: 24.5053 images/s [10/15 22:51:40] ppdet.engine INFO: Epoch: [133] [380/523] learning_rate: 0.233918 loss_vfl: 0.892655 loss_bbox: 0.293378 loss_dfl: 0.190958 loss: 1.377757 eta: 2 days, 7:56:12 batch_cost: 2.3312 data_cost: 0.0013 ips: 24.0218 images/s [10/15 22:52:28] ppdet.engine INFO: Epoch: [133] [400/523] learning_rate: 0.233839 loss_vfl: 0.839984 loss_bbox: 0.293417 loss_dfl: 0.196372 loss: 1.335829 eta: 2 days, 7:55:25 batch_cost: 2.2698 data_cost: 0.0013 ips: 24.6722 images/s [10/15 22:53:17] ppdet.engine INFO: Epoch: [133] [420/523] learning_rate: 0.233760 loss_vfl: 0.868788 loss_bbox: 0.286666 loss_dfl: 0.190872 loss: 1.361418 eta: 2 days, 7:54:39 batch_cost: 2.3590 data_cost: 0.0014 ips: 23.7386 images/s [10/15 22:54:06] ppdet.engine INFO: Epoch: [133] [440/523] learning_rate: 0.233681 loss_vfl: 0.875804 loss_bbox: 0.305389 loss_dfl: 0.197433 loss: 1.377022 eta: 2 days, 7:53:53 batch_cost: 2.3236 data_cost: 0.0013 ips: 24.1001 images/s [10/15 22:54:55] ppdet.engine INFO: Epoch: [133] [460/523] learning_rate: 0.233602 loss_vfl: 0.858372 loss_bbox: 0.292220 loss_dfl: 0.185778 loss: 1.336314 eta: 2 days, 7:53:08 batch_cost: 2.3646 data_cost: 0.0013 ips: 23.6829 images/s [10/15 22:55:44] ppdet.engine INFO: Epoch: [133] [480/523] learning_rate: 0.233524 loss_vfl: 0.873136 loss_bbox: 0.294090 loss_dfl: 0.184486 loss: 1.376756 eta: 2 days, 7:52:21 batch_cost: 2.2866 data_cost: 0.0013 ips: 24.4909 images/s [10/15 22:56:33] ppdet.engine INFO: Epoch: [133] [500/523] learning_rate: 0.233445 loss_vfl: 0.854805 loss_bbox: 0.290050 loss_dfl: 0.188294 loss: 1.347321 eta: 2 days, 7:51:35 batch_cost: 2.3265 data_cost: 0.0014 ips: 24.0704 images/s [10/15 22:57:15] ppdet.engine INFO: Epoch: [133] [520/523] learning_rate: 0.233366 loss_vfl: 0.882475 loss_bbox: 0.296286 loss_dfl: 0.191738 loss: 1.362604 eta: 2 days, 7:50:41 batch_cost: 2.0003 data_cost: 0.0012 ips: 27.9954 images/s [10/15 22:57:44] ppdet.engine INFO: Epoch: [134] [ 0/523] learning_rate: 0.233354 loss_vfl: 0.877470 loss_bbox: 0.296286 loss_dfl: 0.193447 loss: 1.365602 eta: 2 days, 7:50:56 batch_cost: 2.9092 data_cost: 0.3802 ips: 19.2493 images/s [10/15 22:58:35] ppdet.engine INFO: Epoch: [134] [ 20/523] learning_rate: 0.233275 loss_vfl: 0.855088 loss_bbox: 0.291156 loss_dfl: 0.188205 loss: 1.366565 eta: 2 days, 7:50:12 batch_cost: 2.3973 data_cost: 0.0013 ips: 23.3595 images/s [10/15 22:59:22] ppdet.engine INFO: Epoch: [134] [ 40/523] learning_rate: 0.233196 loss_vfl: 0.868808 loss_bbox: 0.282395 loss_dfl: 0.188617 loss: 1.340670 eta: 2 days, 7:49:25 batch_cost: 2.2781 data_cost: 0.0012 ips: 24.5816 images/s [10/15 23:00:11] ppdet.engine INFO: Epoch: [134] [ 60/523] learning_rate: 0.233117 loss_vfl: 0.862328 loss_bbox: 0.281014 loss_dfl: 0.186333 loss: 1.331510 eta: 2 days, 7:48:39 batch_cost: 2.3311 data_cost: 0.0014 ips: 24.0227 images/s [10/15 23:01:01] ppdet.engine INFO: Epoch: [134] [ 80/523] learning_rate: 0.233038 loss_vfl: 0.845272 loss_bbox: 0.291765 loss_dfl: 0.190451 loss: 1.328113 eta: 2 days, 7:47:54 batch_cost: 2.3657 data_cost: 0.0025 ips: 23.6712 images/s [10/15 23:01:50] ppdet.engine INFO: Epoch: [134] [100/523] learning_rate: 0.232959 loss_vfl: 0.862818 loss_bbox: 0.276163 loss_dfl: 0.182321 loss: 1.330227 eta: 2 days, 7:47:08 batch_cost: 2.3199 data_cost: 0.0013 ips: 24.1392 images/s [10/15 23:02:37] ppdet.engine INFO: Epoch: [134] [120/523] learning_rate: 0.232880 loss_vfl: 0.841935 loss_bbox: 0.302166 loss_dfl: 0.191724 loss: 1.336111 eta: 2 days, 7:46:21 batch_cost: 2.2947 data_cost: 0.0013 ips: 24.4036 images/s [10/15 23:03:25] ppdet.engine INFO: Epoch: [134] [140/523] learning_rate: 0.232801 loss_vfl: 0.884347 loss_bbox: 0.282256 loss_dfl: 0.181752 loss: 1.360019 eta: 2 days, 7:45:34 batch_cost: 2.2900 data_cost: 0.0013 ips: 24.4547 images/s [10/15 23:04:14] ppdet.engine INFO: Epoch: [134] [160/523] learning_rate: 0.232722 loss_vfl: 0.863582 loss_bbox: 0.315024 loss_dfl: 0.196116 loss: 1.359792 eta: 2 days, 7:44:47 batch_cost: 2.2982 data_cost: 0.0012 ips: 24.3672 images/s [10/15 23:05:02] ppdet.engine INFO: Epoch: [134] [180/523] learning_rate: 0.232643 loss_vfl: 0.850309 loss_bbox: 0.283013 loss_dfl: 0.184919 loss: 1.341640 eta: 2 days, 7:44:00 batch_cost: 2.3082 data_cost: 0.0013 ips: 24.2611 images/s [10/15 23:05:49] ppdet.engine INFO: Epoch: [134] [200/523] learning_rate: 0.232564 loss_vfl: 0.856250 loss_bbox: 0.277045 loss_dfl: 0.182596 loss: 1.326150 eta: 2 days, 7:43:12 batch_cost: 2.2460 data_cost: 0.0013 ips: 24.9334 images/s [10/15 23:06:37] ppdet.engine INFO: Epoch: [134] [220/523] learning_rate: 0.232485 loss_vfl: 0.852522 loss_bbox: 0.323879 loss_dfl: 0.201507 loss: 1.380940 eta: 2 days, 7:42:24 batch_cost: 2.2503 data_cost: 0.0012 ips: 24.8853 images/s [10/15 23:07:27] ppdet.engine INFO: Epoch: [134] [240/523] learning_rate: 0.232406 loss_vfl: 0.876929 loss_bbox: 0.306055 loss_dfl: 0.202815 loss: 1.387647 eta: 2 days, 7:41:41 batch_cost: 2.4345 data_cost: 0.0013 ips: 23.0029 images/s [10/15 23:08:16] ppdet.engine INFO: Epoch: [134] [260/523] learning_rate: 0.232327 loss_vfl: 0.851975 loss_bbox: 0.281665 loss_dfl: 0.186977 loss: 1.332496 eta: 2 days, 7:40:54 batch_cost: 2.2877 data_cost: 0.0013 ips: 24.4785 images/s [10/15 23:09:03] ppdet.engine INFO: Epoch: [134] [280/523] learning_rate: 0.232248 loss_vfl: 0.859216 loss_bbox: 0.292185 loss_dfl: 0.193825 loss: 1.347378 eta: 2 days, 7:40:07 batch_cost: 2.2877 data_cost: 0.0012 ips: 24.4790 images/s [10/15 23:09:52] ppdet.engine INFO: Epoch: [134] [300/523] learning_rate: 0.232169 loss_vfl: 0.856080 loss_bbox: 0.287658 loss_dfl: 0.181796 loss: 1.320465 eta: 2 days, 7:39:21 batch_cost: 2.3358 data_cost: 0.0012 ips: 23.9742 images/s [10/15 23:10:40] ppdet.engine INFO: Epoch: [134] [320/523] learning_rate: 0.232090 loss_vfl: 0.876779 loss_bbox: 0.299405 loss_dfl: 0.194780 loss: 1.352937 eta: 2 days, 7:38:34 batch_cost: 2.2590 data_cost: 0.0012 ips: 24.7898 images/s [10/15 23:11:29] ppdet.engine INFO: Epoch: [134] [340/523] learning_rate: 0.232010 loss_vfl: 0.858339 loss_bbox: 0.300089 loss_dfl: 0.195916 loss: 1.340048 eta: 2 days, 7:37:47 batch_cost: 2.3259 data_cost: 0.0012 ips: 24.0762 images/s [10/15 23:12:17] ppdet.engine INFO: Epoch: [134] [360/523] learning_rate: 0.231931 loss_vfl: 0.867520 loss_bbox: 0.315450 loss_dfl: 0.199920 loss: 1.392461 eta: 2 days, 7:37:01 batch_cost: 2.3062 data_cost: 0.0013 ips: 24.2821 images/s [10/15 23:13:06] ppdet.engine INFO: Epoch: [134] [380/523] learning_rate: 0.231852 loss_vfl: 0.857992 loss_bbox: 0.300959 loss_dfl: 0.197081 loss: 1.343182 eta: 2 days, 7:36:15 batch_cost: 2.3328 data_cost: 0.0020 ips: 24.0053 images/s [10/15 23:13:56] ppdet.engine INFO: Epoch: [134] [400/523] learning_rate: 0.231773 loss_vfl: 0.882772 loss_bbox: 0.301248 loss_dfl: 0.189747 loss: 1.384658 eta: 2 days, 7:35:30 batch_cost: 2.3788 data_cost: 0.0012 ips: 23.5409 images/s [10/15 23:14:45] ppdet.engine INFO: Epoch: [134] [420/523] learning_rate: 0.231694 loss_vfl: 0.851810 loss_bbox: 0.288639 loss_dfl: 0.190215 loss: 1.339402 eta: 2 days, 7:34:44 batch_cost: 2.3149 data_cost: 0.0012 ips: 24.1908 images/s [10/15 23:15:34] ppdet.engine INFO: Epoch: [134] [440/523] learning_rate: 0.231615 loss_vfl: 0.866843 loss_bbox: 0.307990 loss_dfl: 0.197857 loss: 1.382972 eta: 2 days, 7:33:58 batch_cost: 2.3228 data_cost: 0.0012 ips: 24.1091 images/s [10/15 23:16:21] ppdet.engine INFO: Epoch: [134] [460/523] learning_rate: 0.231536 loss_vfl: 0.870678 loss_bbox: 0.305347 loss_dfl: 0.191256 loss: 1.365526 eta: 2 days, 7:33:09 batch_cost: 2.2064 data_cost: 0.0013 ips: 25.3810 images/s [10/15 23:17:09] ppdet.engine INFO: Epoch: [134] [480/523] learning_rate: 0.231457 loss_vfl: 0.854783 loss_bbox: 0.315852 loss_dfl: 0.198431 loss: 1.360502 eta: 2 days, 7:32:22 batch_cost: 2.2952 data_cost: 0.0013 ips: 24.3984 images/s [10/15 23:17:57] ppdet.engine INFO: Epoch: [134] [500/523] learning_rate: 0.231378 loss_vfl: 0.871204 loss_bbox: 0.314639 loss_dfl: 0.197795 loss: 1.378533 eta: 2 days, 7:31:36 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0988 images/s [10/15 23:18:39] ppdet.engine INFO: Epoch: [134] [520/523] learning_rate: 0.231299 loss_vfl: 0.862106 loss_bbox: 0.279838 loss_dfl: 0.192045 loss: 1.334957 eta: 2 days, 7:30:42 batch_cost: 1.9970 data_cost: 0.0012 ips: 28.0416 images/s [10/15 23:19:12] ppdet.engine INFO: Epoch: [135] [ 0/523] learning_rate: 0.231287 loss_vfl: 0.859014 loss_bbox: 0.277743 loss_dfl: 0.193293 loss: 1.334957 eta: 2 days, 7:31:01 batch_cost: 3.0683 data_cost: 0.4410 ips: 18.2509 images/s [10/15 23:20:03] ppdet.engine INFO: Epoch: [135] [ 20/523] learning_rate: 0.231208 loss_vfl: 0.878389 loss_bbox: 0.267687 loss_dfl: 0.172408 loss: 1.325718 eta: 2 days, 7:30:17 batch_cost: 2.3973 data_cost: 0.0021 ips: 23.3594 images/s [10/15 23:20:52] ppdet.engine INFO: Epoch: [135] [ 40/523] learning_rate: 0.231129 loss_vfl: 0.866876 loss_bbox: 0.283787 loss_dfl: 0.185532 loss: 1.331687 eta: 2 days, 7:29:31 batch_cost: 2.3418 data_cost: 0.0016 ips: 23.9133 images/s [10/15 23:21:40] ppdet.engine INFO: Epoch: [135] [ 60/523] learning_rate: 0.231050 loss_vfl: 0.852872 loss_bbox: 0.311570 loss_dfl: 0.194099 loss: 1.351324 eta: 2 days, 7:28:44 batch_cost: 2.2803 data_cost: 0.0015 ips: 24.5583 images/s [10/15 23:22:29] ppdet.engine INFO: Epoch: [135] [ 80/523] learning_rate: 0.230970 loss_vfl: 0.863302 loss_bbox: 0.279855 loss_dfl: 0.185456 loss: 1.315775 eta: 2 days, 7:27:57 batch_cost: 2.3175 data_cost: 0.0014 ips: 24.1640 images/s [10/15 23:23:18] ppdet.engine INFO: Epoch: [135] [100/523] learning_rate: 0.230891 loss_vfl: 0.857172 loss_bbox: 0.299332 loss_dfl: 0.192481 loss: 1.356698 eta: 2 days, 7:27:12 batch_cost: 2.3437 data_cost: 0.0013 ips: 23.8935 images/s [10/15 23:24:06] ppdet.engine INFO: Epoch: [135] [120/523] learning_rate: 0.230812 loss_vfl: 0.862024 loss_bbox: 0.290851 loss_dfl: 0.191246 loss: 1.357222 eta: 2 days, 7:26:25 batch_cost: 2.2951 data_cost: 0.0013 ips: 24.4001 images/s [10/15 23:24:55] ppdet.engine INFO: Epoch: [135] [140/523] learning_rate: 0.230733 loss_vfl: 0.859939 loss_bbox: 0.284237 loss_dfl: 0.194682 loss: 1.336764 eta: 2 days, 7:25:39 batch_cost: 2.3436 data_cost: 0.0013 ips: 23.8951 images/s [10/15 23:25:44] ppdet.engine INFO: Epoch: [135] [160/523] learning_rate: 0.230654 loss_vfl: 0.858059 loss_bbox: 0.305368 loss_dfl: 0.195389 loss: 1.379261 eta: 2 days, 7:24:52 batch_cost: 2.2938 data_cost: 0.0013 ips: 24.4131 images/s [10/15 23:26:32] ppdet.engine INFO: Epoch: [135] [180/523] learning_rate: 0.230575 loss_vfl: 0.856786 loss_bbox: 0.303237 loss_dfl: 0.188195 loss: 1.357966 eta: 2 days, 7:24:06 batch_cost: 2.3027 data_cost: 0.0013 ips: 24.3195 images/s [10/15 23:27:20] ppdet.engine INFO: Epoch: [135] [200/523] learning_rate: 0.230496 loss_vfl: 0.835943 loss_bbox: 0.293133 loss_dfl: 0.191135 loss: 1.328615 eta: 2 days, 7:23:19 batch_cost: 2.2896 data_cost: 0.0014 ips: 24.4582 images/s [10/15 23:28:08] ppdet.engine INFO: Epoch: [135] [220/523] learning_rate: 0.230416 loss_vfl: 0.857366 loss_bbox: 0.285979 loss_dfl: 0.191609 loss: 1.340397 eta: 2 days, 7:22:31 batch_cost: 2.2726 data_cost: 0.0013 ips: 24.6413 images/s [10/15 23:28:58] ppdet.engine INFO: Epoch: [135] [240/523] learning_rate: 0.230337 loss_vfl: 0.856875 loss_bbox: 0.295306 loss_dfl: 0.193242 loss: 1.337505 eta: 2 days, 7:21:47 batch_cost: 2.4078 data_cost: 0.0014 ips: 23.2576 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[135] [340/523] learning_rate: 0.229941 loss_vfl: 0.875997 loss_bbox: 0.296267 loss_dfl: 0.188707 loss: 1.364019 eta: 2 days, 7:17:56 batch_cost: 2.3088 data_cost: 0.0013 ips: 24.2547 images/s [10/15 23:33:51] ppdet.engine INFO: Epoch: [135] [360/523] learning_rate: 0.229862 loss_vfl: 0.866902 loss_bbox: 0.294000 loss_dfl: 0.188197 loss: 1.348600 eta: 2 days, 7:17:09 batch_cost: 2.3243 data_cost: 0.0013 ips: 24.0935 images/s [10/15 23:34:39] ppdet.engine INFO: Epoch: [135] [380/523] learning_rate: 0.229783 loss_vfl: 0.869808 loss_bbox: 0.290506 loss_dfl: 0.186295 loss: 1.345972 eta: 2 days, 7:16:23 batch_cost: 2.3266 data_cost: 0.0013 ips: 24.0695 images/s [10/15 23:35:29] ppdet.engine INFO: Epoch: [135] [400/523] learning_rate: 0.229704 loss_vfl: 0.848870 loss_bbox: 0.287970 loss_dfl: 0.183755 loss: 1.324638 eta: 2 days, 7:15:38 batch_cost: 2.3743 data_cost: 0.0014 ips: 23.5854 images/s [10/15 23:36:18] ppdet.engine INFO: Epoch: [135] [420/523] learning_rate: 0.229625 loss_vfl: 0.851038 loss_bbox: 0.270677 loss_dfl: 0.181100 loss: 1.347922 eta: 2 days, 7:14:53 batch_cost: 2.3309 data_cost: 0.0013 ips: 24.0249 images/s [10/15 23:37:07] ppdet.engine INFO: Epoch: [135] [440/523] learning_rate: 0.229545 loss_vfl: 0.867131 loss_bbox: 0.297820 loss_dfl: 0.184177 loss: 1.349567 eta: 2 days, 7:14:06 batch_cost: 2.3275 data_cost: 0.0012 ips: 24.0599 images/s [10/15 23:37:56] ppdet.engine INFO: Epoch: [135] [460/523] learning_rate: 0.229466 loss_vfl: 0.853622 loss_bbox: 0.296665 loss_dfl: 0.189575 loss: 1.362214 eta: 2 days, 7:13:21 batch_cost: 2.3684 data_cost: 0.0012 ips: 23.6451 images/s [10/15 23:38:45] ppdet.engine INFO: Epoch: [135] [480/523] learning_rate: 0.229387 loss_vfl: 0.870013 loss_bbox: 0.299594 loss_dfl: 0.193911 loss: 1.354767 eta: 2 days, 7:12:36 batch_cost: 2.3433 data_cost: 0.0013 ips: 23.8977 images/s [10/15 23:39:35] ppdet.engine INFO: Epoch: [135] [500/523] learning_rate: 0.229308 loss_vfl: 0.858747 loss_bbox: 0.302483 loss_dfl: 0.186330 loss: 1.333978 eta: 2 days, 7:11:50 batch_cost: 2.3524 data_cost: 0.0013 ips: 23.8054 images/s [10/15 23:40:17] ppdet.engine INFO: Epoch: [135] [520/523] learning_rate: 0.229228 loss_vfl: 0.880347 loss_bbox: 0.288343 loss_dfl: 0.186289 loss: 1.351700 eta: 2 days, 7:10:57 batch_cost: 2.0432 data_cost: 0.0012 ips: 27.4077 images/s [10/15 23:40:47] ppdet.engine INFO: Epoch: [136] [ 0/523] learning_rate: 0.229217 loss_vfl: 0.881138 loss_bbox: 0.289673 loss_dfl: 0.188268 loss: 1.350717 eta: 2 days, 7:11:13 batch_cost: 2.9628 data_cost: 0.4198 ips: 18.9013 images/s [10/15 23:41:37] ppdet.engine INFO: Epoch: [136] [ 20/523] learning_rate: 0.229137 loss_vfl: 0.862281 loss_bbox: 0.293758 loss_dfl: 0.186450 loss: 1.357706 eta: 2 days, 7:10:27 batch_cost: 2.3555 data_cost: 0.0014 ips: 23.7739 images/s [10/15 23:42:26] ppdet.engine INFO: Epoch: [136] [ 40/523] learning_rate: 0.229058 loss_vfl: 0.855624 loss_bbox: 0.296617 loss_dfl: 0.185857 loss: 1.336590 eta: 2 days, 7:09:42 batch_cost: 2.3501 data_cost: 0.0013 ips: 23.8285 images/s [10/15 23:43:15] ppdet.engine INFO: Epoch: [136] [ 60/523] learning_rate: 0.228979 loss_vfl: 0.859399 loss_bbox: 0.286851 loss_dfl: 0.189514 loss: 1.323641 eta: 2 days, 7:08:56 batch_cost: 2.3221 data_cost: 0.0013 ips: 24.1158 images/s [10/15 23:44:02] ppdet.engine INFO: Epoch: [136] [ 80/523] learning_rate: 0.228900 loss_vfl: 0.863457 loss_bbox: 0.288762 loss_dfl: 0.189657 loss: 1.340087 eta: 2 days, 7:08:08 batch_cost: 2.2481 data_cost: 0.0013 ips: 24.9100 images/s [10/15 23:44:49] ppdet.engine INFO: Epoch: [136] [100/523] learning_rate: 0.228820 loss_vfl: 0.838315 loss_bbox: 0.306457 loss_dfl: 0.197819 loss: 1.343055 eta: 2 days, 7:07:20 batch_cost: 2.2792 data_cost: 0.0012 ips: 24.5698 images/s [10/15 23:45:37] ppdet.engine INFO: Epoch: [136] [120/523] learning_rate: 0.228741 loss_vfl: 0.844427 loss_bbox: 0.298563 loss_dfl: 0.195022 loss: 1.339187 eta: 2 days, 7:06:33 batch_cost: 2.2754 data_cost: 0.0013 ips: 24.6114 images/s [10/15 23:46:27] ppdet.engine INFO: Epoch: [136] [140/523] learning_rate: 0.228662 loss_vfl: 0.870893 loss_bbox: 0.295904 loss_dfl: 0.189951 loss: 1.362745 eta: 2 days, 7:05:48 batch_cost: 2.3780 data_cost: 0.0018 ips: 23.5494 images/s [10/15 23:47:15] ppdet.engine INFO: Epoch: [136] [160/523] learning_rate: 0.228583 loss_vfl: 0.861526 loss_bbox: 0.298145 loss_dfl: 0.188338 loss: 1.341022 eta: 2 days, 7:05:02 batch_cost: 2.3316 data_cost: 0.0013 ips: 24.0179 images/s [10/15 23:48:04] ppdet.engine INFO: Epoch: [136] [180/523] learning_rate: 0.228503 loss_vfl: 0.872898 loss_bbox: 0.303864 loss_dfl: 0.187133 loss: 1.357307 eta: 2 days, 7:04:16 batch_cost: 2.3357 data_cost: 0.0012 ips: 23.9756 images/s [10/15 23:48:54] ppdet.engine INFO: Epoch: [136] [200/523] learning_rate: 0.228424 loss_vfl: 0.873085 loss_bbox: 0.284555 loss_dfl: 0.183327 loss: 1.347549 eta: 2 days, 7:03:31 batch_cost: 2.3545 data_cost: 0.0013 ips: 23.7842 images/s [10/15 23:49:44] ppdet.engine INFO: Epoch: [136] [220/523] learning_rate: 0.228345 loss_vfl: 0.853851 loss_bbox: 0.304774 loss_dfl: 0.194228 loss: 1.343269 eta: 2 days, 7:02:47 batch_cost: 2.4068 data_cost: 0.0013 ips: 23.2675 images/s [10/15 23:50:31] ppdet.engine INFO: Epoch: [136] [240/523] learning_rate: 0.228265 loss_vfl: 0.866341 loss_bbox: 0.290564 loss_dfl: 0.190693 loss: 1.343115 eta: 2 days, 7:01:58 batch_cost: 2.2277 data_cost: 0.0013 ips: 25.1384 images/s [10/15 23:51:18] ppdet.engine INFO: Epoch: [136] [260/523] learning_rate: 0.228186 loss_vfl: 0.873564 loss_bbox: 0.297764 loss_dfl: 0.190256 loss: 1.372227 eta: 2 days, 7:01:11 batch_cost: 2.2727 data_cost: 0.0013 ips: 24.6400 images/s [10/15 23:52:07] ppdet.engine INFO: Epoch: [136] [280/523] learning_rate: 0.228107 loss_vfl: 0.844942 loss_bbox: 0.310179 loss_dfl: 0.193788 loss: 1.356558 eta: 2 days, 7:00:25 batch_cost: 2.3073 data_cost: 0.0025 ips: 24.2703 images/s [10/15 23:52:54] ppdet.engine INFO: Epoch: [136] [300/523] learning_rate: 0.228028 loss_vfl: 0.866970 loss_bbox: 0.295384 loss_dfl: 0.195471 loss: 1.380159 eta: 2 days, 6:59:36 batch_cost: 2.2425 data_cost: 0.0012 ips: 24.9719 images/s [10/15 23:53:42] ppdet.engine INFO: Epoch: [136] [320/523] learning_rate: 0.227948 loss_vfl: 0.869313 loss_bbox: 0.290769 loss_dfl: 0.187967 loss: 1.346934 eta: 2 days, 6:58:50 batch_cost: 2.3167 data_cost: 0.0012 ips: 24.1720 images/s [10/15 23:54:31] ppdet.engine INFO: Epoch: [136] [340/523] learning_rate: 0.227869 loss_vfl: 0.854064 loss_bbox: 0.296663 loss_dfl: 0.196228 loss: 1.347259 eta: 2 days, 6:58:04 batch_cost: 2.3401 data_cost: 0.0012 ips: 23.9310 images/s [10/15 23:55:20] ppdet.engine INFO: Epoch: [136] [360/523] learning_rate: 0.227790 loss_vfl: 0.866731 loss_bbox: 0.306880 loss_dfl: 0.205244 loss: 1.362150 eta: 2 days, 6:57:18 batch_cost: 2.3204 data_cost: 0.0024 ips: 24.1339 images/s [10/15 23:56:08] ppdet.engine INFO: Epoch: [136] [380/523] learning_rate: 0.227710 loss_vfl: 0.877257 loss_bbox: 0.293854 loss_dfl: 0.190180 loss: 1.353925 eta: 2 days, 6:56:31 batch_cost: 2.2798 data_cost: 0.0018 ips: 24.5640 images/s [10/15 23:56:54] ppdet.engine INFO: Epoch: [136] [400/523] learning_rate: 0.227631 loss_vfl: 0.868261 loss_bbox: 0.301392 loss_dfl: 0.198821 loss: 1.373970 eta: 2 days, 6:55:41 batch_cost: 2.1759 data_cost: 0.0015 ips: 25.7369 images/s [10/15 23:57:41] ppdet.engine INFO: Epoch: [136] [420/523] learning_rate: 0.227552 loss_vfl: 0.870281 loss_bbox: 0.300017 loss_dfl: 0.189339 loss: 1.323408 eta: 2 days, 6:54:54 batch_cost: 2.2710 data_cost: 0.0020 ips: 24.6591 images/s [10/15 23:58:29] ppdet.engine INFO: Epoch: [136] [440/523] learning_rate: 0.227472 loss_vfl: 0.868340 loss_bbox: 0.300807 loss_dfl: 0.199551 loss: 1.353531 eta: 2 days, 6:54:07 batch_cost: 2.2896 data_cost: 0.0013 ips: 24.4586 images/s [10/15 23:59:19] ppdet.engine INFO: Epoch: [136] [460/523] learning_rate: 0.227393 loss_vfl: 0.863194 loss_bbox: 0.294315 loss_dfl: 0.186744 loss: 1.348023 eta: 2 days, 6:53:22 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6579 images/s [10/16 00:00:07] ppdet.engine INFO: Epoch: [136] [480/523] learning_rate: 0.227314 loss_vfl: 0.868623 loss_bbox: 0.290583 loss_dfl: 0.186831 loss: 1.345860 eta: 2 days, 6:52:35 batch_cost: 2.3060 data_cost: 0.0012 ips: 24.2848 images/s [10/16 00:00:55] ppdet.engine INFO: Epoch: [136] [500/523] learning_rate: 0.227234 loss_vfl: 0.866950 loss_bbox: 0.307276 loss_dfl: 0.189786 loss: 1.371251 eta: 2 days, 6:51:48 batch_cost: 2.2861 data_cost: 0.0013 ips: 24.4954 images/s [10/16 00:01:37] ppdet.engine INFO: Epoch: [136] [520/523] learning_rate: 0.227155 loss_vfl: 0.867744 loss_bbox: 0.295674 loss_dfl: 0.189962 loss: 1.341224 eta: 2 days, 6:50:55 batch_cost: 2.0333 data_cost: 0.0012 ips: 27.5413 images/s [10/16 00:02:08] ppdet.engine INFO: Epoch: [137] [ 0/523] learning_rate: 0.227143 loss_vfl: 0.874038 loss_bbox: 0.290055 loss_dfl: 0.191776 loss: 1.345129 eta: 2 days, 6:51:11 batch_cost: 3.0064 data_cost: 0.3666 ips: 18.6272 images/s [10/16 00:02:58] ppdet.engine INFO: Epoch: [137] 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loss_bbox: 0.283076 loss_dfl: 0.187019 loss: 1.333940 eta: 2 days, 6:47:29 batch_cost: 2.3486 data_cost: 0.0014 ips: 23.8437 images/s [10/16 00:07:06] ppdet.engine INFO: Epoch: [137] [120/523] learning_rate: 0.226667 loss_vfl: 0.852519 loss_bbox: 0.275241 loss_dfl: 0.185077 loss: 1.324699 eta: 2 days, 6:46:41 batch_cost: 2.2371 data_cost: 0.0022 ips: 25.0323 images/s [10/16 00:07:54] ppdet.engine INFO: Epoch: [137] [140/523] learning_rate: 0.226588 loss_vfl: 0.846422 loss_bbox: 0.291058 loss_dfl: 0.186258 loss: 1.340914 eta: 2 days, 6:45:54 batch_cost: 2.2945 data_cost: 0.0028 ips: 24.4067 images/s [10/16 00:08:42] ppdet.engine INFO: Epoch: [137] [160/523] learning_rate: 0.226508 loss_vfl: 0.861360 loss_bbox: 0.306538 loss_dfl: 0.191797 loss: 1.348949 eta: 2 days, 6:45:07 batch_cost: 2.2822 data_cost: 0.0013 ips: 24.5374 images/s [10/16 00:09:29] ppdet.engine INFO: Epoch: [137] [180/523] learning_rate: 0.226429 loss_vfl: 0.839956 loss_bbox: 0.290716 loss_dfl: 0.185207 loss: 1.330029 eta: 2 days, 6:44:19 batch_cost: 2.2705 data_cost: 0.0014 ips: 24.6642 images/s [10/16 00:10:17] ppdet.engine INFO: Epoch: [137] [200/523] learning_rate: 0.226349 loss_vfl: 0.854917 loss_bbox: 0.307871 loss_dfl: 0.193177 loss: 1.360879 eta: 2 days, 6:43:32 batch_cost: 2.2784 data_cost: 0.0016 ips: 24.5784 images/s [10/16 00:11:05] ppdet.engine INFO: Epoch: [137] [220/523] learning_rate: 0.226270 loss_vfl: 0.874466 loss_bbox: 0.295365 loss_dfl: 0.188732 loss: 1.370002 eta: 2 days, 6:42:45 batch_cost: 2.2781 data_cost: 0.0013 ips: 24.5824 images/s [10/16 00:11:53] ppdet.engine INFO: Epoch: [137] [240/523] learning_rate: 0.226191 loss_vfl: 0.891936 loss_bbox: 0.287242 loss_dfl: 0.189593 loss: 1.355899 eta: 2 days, 6:41:58 batch_cost: 2.2963 data_cost: 0.0013 ips: 24.3869 images/s [10/16 00:12:42] ppdet.engine INFO: Epoch: [137] [260/523] learning_rate: 0.226111 loss_vfl: 0.850088 loss_bbox: 0.278696 loss_dfl: 0.191307 loss: 1.333493 eta: 2 days, 6:41:12 batch_cost: 2.3337 data_cost: 0.0012 ips: 23.9964 images/s [10/16 00:13:30] ppdet.engine INFO: Epoch: [137] [280/523] learning_rate: 0.226032 loss_vfl: 0.851044 loss_bbox: 0.306690 loss_dfl: 0.191948 loss: 1.354674 eta: 2 days, 6:40:25 batch_cost: 2.2997 data_cost: 0.0012 ips: 24.3511 images/s [10/16 00:14:18] ppdet.engine INFO: Epoch: [137] [300/523] learning_rate: 0.225952 loss_vfl: 0.858670 loss_bbox: 0.300250 loss_dfl: 0.195536 loss: 1.371308 eta: 2 days, 6:39:39 batch_cost: 2.3203 data_cost: 0.0013 ips: 24.1345 images/s [10/16 00:15:08] ppdet.engine INFO: Epoch: [137] [320/523] learning_rate: 0.225873 loss_vfl: 0.876339 loss_bbox: 0.287794 loss_dfl: 0.185247 loss: 1.366202 eta: 2 days, 6:38:54 batch_cost: 2.3668 data_cost: 0.0013 ips: 23.6609 images/s [10/16 00:15:57] ppdet.engine INFO: Epoch: [137] [340/523] learning_rate: 0.225794 loss_vfl: 0.851035 loss_bbox: 0.296499 loss_dfl: 0.192611 loss: 1.328372 eta: 2 days, 6:38:09 batch_cost: 2.3664 data_cost: 0.0012 ips: 23.6646 images/s [10/16 00:16:46] ppdet.engine INFO: Epoch: [137] [360/523] learning_rate: 0.225714 loss_vfl: 0.862415 loss_bbox: 0.303740 loss_dfl: 0.197017 loss: 1.367529 eta: 2 days, 6:37:23 batch_cost: 2.3486 data_cost: 0.0013 ips: 23.8440 images/s [10/16 00:17:34] ppdet.engine INFO: Epoch: [137] [380/523] learning_rate: 0.225635 loss_vfl: 0.847196 loss_bbox: 0.300547 loss_dfl: 0.191986 loss: 1.349938 eta: 2 days, 6:36:36 batch_cost: 2.2594 data_cost: 0.0012 ips: 24.7859 images/s [10/16 00:18:23] ppdet.engine INFO: Epoch: [137] [400/523] learning_rate: 0.225555 loss_vfl: 0.866033 loss_bbox: 0.278305 loss_dfl: 0.188266 loss: 1.349899 eta: 2 days, 6:35:50 batch_cost: 2.3470 data_cost: 0.0013 ips: 23.8606 images/s [10/16 00:19:11] ppdet.engine INFO: Epoch: [137] [420/523] learning_rate: 0.225476 loss_vfl: 0.870357 loss_bbox: 0.286309 loss_dfl: 0.183487 loss: 1.348466 eta: 2 days, 6:35:03 batch_cost: 2.2977 data_cost: 0.0013 ips: 24.3723 images/s [10/16 00:19:59] ppdet.engine INFO: Epoch: [137] [440/523] learning_rate: 0.225396 loss_vfl: 0.880699 loss_bbox: 0.289630 loss_dfl: 0.186967 loss: 1.370380 eta: 2 days, 6:34:16 batch_cost: 2.2584 data_cost: 0.0024 ips: 24.7958 images/s [10/16 00:20:46] ppdet.engine INFO: Epoch: [137] [460/523] learning_rate: 0.225317 loss_vfl: 0.857817 loss_bbox: 0.303053 loss_dfl: 0.199577 loss: 1.359893 eta: 2 days, 6:33:28 batch_cost: 2.2434 data_cost: 0.0018 ips: 24.9616 images/s [10/16 00:21:34] ppdet.engine INFO: Epoch: [137] [480/523] learning_rate: 0.225237 loss_vfl: 0.884148 loss_bbox: 0.287132 loss_dfl: 0.184165 loss: 1.359189 eta: 2 days, 6:32:41 batch_cost: 2.3034 data_cost: 0.0013 ips: 24.3116 images/s [10/16 00:22:22] ppdet.engine INFO: Epoch: [137] [500/523] learning_rate: 0.225158 loss_vfl: 0.854419 loss_bbox: 0.287642 loss_dfl: 0.191751 loss: 1.351619 eta: 2 days, 6:31:54 batch_cost: 2.2709 data_cost: 0.0013 ips: 24.6602 images/s [10/16 00:23:05] ppdet.engine INFO: Epoch: [137] [520/523] learning_rate: 0.225079 loss_vfl: 0.862763 loss_bbox: 0.281953 loss_dfl: 0.190356 loss: 1.329338 eta: 2 days, 6:31:01 batch_cost: 2.0608 data_cost: 0.0013 ips: 27.1735 images/s [10/16 00:23:31] ppdet.engine INFO: Epoch: [138] [ 0/523] learning_rate: 0.225067 loss_vfl: 0.857749 loss_bbox: 0.276759 loss_dfl: 0.190356 loss: 1.324513 eta: 2 days, 6:31:11 batch_cost: 2.7739 data_cost: 0.3943 ips: 20.1883 images/s [10/16 00:24:23] ppdet.engine INFO: Epoch: [138] [ 20/523] learning_rate: 0.224987 loss_vfl: 0.866919 loss_bbox: 0.294228 loss_dfl: 0.185708 loss: 1.345541 eta: 2 days, 6:30:29 batch_cost: 2.4847 data_cost: 0.0014 ips: 22.5380 images/s [10/16 00:25:12] ppdet.engine INFO: Epoch: [138] [ 40/523] learning_rate: 0.224908 loss_vfl: 0.873166 loss_bbox: 0.283759 loss_dfl: 0.187161 loss: 1.346576 eta: 2 days, 6:29:42 batch_cost: 2.2881 data_cost: 0.0013 ips: 24.4749 images/s [10/16 00:25:59] ppdet.engine INFO: Epoch: [138] [ 60/523] learning_rate: 0.224828 loss_vfl: 0.855525 loss_bbox: 0.293884 loss_dfl: 0.190547 loss: 1.321423 eta: 2 days, 6:28:54 batch_cost: 2.2597 data_cost: 0.0012 ips: 24.7823 images/s [10/16 00:26:48] ppdet.engine INFO: Epoch: [138] [ 80/523] learning_rate: 0.224749 loss_vfl: 0.853878 loss_bbox: 0.287139 loss_dfl: 0.195471 loss: 1.336185 eta: 2 days, 6:28:08 batch_cost: 2.3161 data_cost: 0.0014 ips: 24.1784 images/s [10/16 00:27:35] ppdet.engine INFO: Epoch: [138] [100/523] learning_rate: 0.224669 loss_vfl: 0.849969 loss_bbox: 0.296655 loss_dfl: 0.187524 loss: 1.329044 eta: 2 days, 6:27:20 batch_cost: 2.2599 data_cost: 0.0014 ips: 24.7800 images/s [10/16 00:28:23] ppdet.engine INFO: Epoch: [138] [120/523] learning_rate: 0.224590 loss_vfl: 0.860915 loss_bbox: 0.289714 loss_dfl: 0.183611 loss: 1.339999 eta: 2 days, 6:26:33 batch_cost: 2.2756 data_cost: 0.0013 ips: 24.6090 images/s [10/16 00:29:11] ppdet.engine INFO: Epoch: [138] [140/523] learning_rate: 0.224510 loss_vfl: 0.852390 loss_bbox: 0.302211 loss_dfl: 0.197616 loss: 1.346661 eta: 2 days, 6:25:45 batch_cost: 2.2568 data_cost: 0.0013 ips: 24.8143 images/s [10/16 00:30:00] ppdet.engine INFO: Epoch: [138] [160/523] learning_rate: 0.224431 loss_vfl: 0.852268 loss_bbox: 0.286654 loss_dfl: 0.185160 loss: 1.350610 eta: 2 days, 6:24:59 batch_cost: 2.3483 data_cost: 0.0013 ips: 23.8467 images/s [10/16 00:30:49] ppdet.engine INFO: Epoch: [138] [180/523] learning_rate: 0.224351 loss_vfl: 0.848674 loss_bbox: 0.292429 loss_dfl: 0.189771 loss: 1.349411 eta: 2 days, 6:24:13 batch_cost: 2.3229 data_cost: 0.0013 ips: 24.1078 images/s [10/16 00:31:38] ppdet.engine INFO: Epoch: [138] [200/523] learning_rate: 0.224272 loss_vfl: 0.854278 loss_bbox: 0.292853 loss_dfl: 0.191638 loss: 1.380903 eta: 2 days, 6:23:27 batch_cost: 2.3354 data_cost: 0.0013 ips: 23.9785 images/s [10/16 00:32:27] ppdet.engine INFO: Epoch: [138] [220/523] learning_rate: 0.224192 loss_vfl: 0.867576 loss_bbox: 0.317952 loss_dfl: 0.191594 loss: 1.372423 eta: 2 days, 6:22:42 batch_cost: 2.3387 data_cost: 0.0012 ips: 23.9445 images/s [10/16 00:33:15] ppdet.engine INFO: Epoch: [138] [240/523] learning_rate: 0.224113 loss_vfl: 0.831254 loss_bbox: 0.309677 loss_dfl: 0.190782 loss: 1.343158 eta: 2 days, 6:21:54 batch_cost: 2.2732 data_cost: 0.0013 ips: 24.6345 images/s [10/16 00:34:03] ppdet.engine INFO: Epoch: [138] [260/523] learning_rate: 0.224033 loss_vfl: 0.864278 loss_bbox: 0.290233 loss_dfl: 0.192457 loss: 1.349916 eta: 2 days, 6:21:08 batch_cost: 2.3118 data_cost: 0.0014 ips: 24.2233 images/s [10/16 00:34:52] ppdet.engine INFO: Epoch: [138] [280/523] learning_rate: 0.223954 loss_vfl: 0.872348 loss_bbox: 0.305818 loss_dfl: 0.200117 loss: 1.383332 eta: 2 days, 6:20:21 batch_cost: 2.2996 data_cost: 0.0013 ips: 24.3525 images/s [10/16 00:35:40] ppdet.engine INFO: Epoch: [138] [300/523] learning_rate: 0.223874 loss_vfl: 0.869816 loss_bbox: 0.274836 loss_dfl: 0.185728 loss: 1.356656 eta: 2 days, 6:19:34 batch_cost: 2.2961 data_cost: 0.0013 ips: 24.3892 images/s [10/16 00:36:28] ppdet.engine INFO: Epoch: [138] [320/523] learning_rate: 0.223795 loss_vfl: 0.844619 loss_bbox: 0.292057 loss_dfl: 0.185143 loss: 1.338030 eta: 2 days, 6:18:47 batch_cost: 2.2933 data_cost: 0.0013 ips: 24.4191 images/s [10/16 00:37:15] ppdet.engine INFO: Epoch: [138] [340/523] learning_rate: 0.223715 loss_vfl: 0.843568 loss_bbox: 0.307217 loss_dfl: 0.195648 loss: 1.362130 eta: 2 days, 6:18:00 batch_cost: 2.2509 data_cost: 0.0013 ips: 24.8790 images/s [10/16 00:38:04] ppdet.engine INFO: Epoch: [138] [360/523] learning_rate: 0.223636 loss_vfl: 0.870784 loss_bbox: 0.300686 loss_dfl: 0.192572 loss: 1.353621 eta: 2 days, 6:17:14 batch_cost: 2.3377 data_cost: 0.0021 ips: 23.9548 images/s [10/16 00:38:53] ppdet.engine INFO: Epoch: [138] [380/523] learning_rate: 0.223556 loss_vfl: 0.864293 loss_bbox: 0.292235 loss_dfl: 0.197179 loss: 1.369232 eta: 2 days, 6:16:28 batch_cost: 2.3234 data_cost: 0.0013 ips: 24.1023 images/s [10/16 00:39:40] ppdet.engine INFO: Epoch: [138] [400/523] learning_rate: 0.223477 loss_vfl: 0.852289 loss_bbox: 0.300422 loss_dfl: 0.193922 loss: 1.348294 eta: 2 days, 6:15:39 batch_cost: 2.2123 data_cost: 0.0013 ips: 25.3134 images/s [10/16 00:40:26] ppdet.engine INFO: Epoch: [138] [420/523] learning_rate: 0.223397 loss_vfl: 0.869485 loss_bbox: 0.281299 loss_dfl: 0.182685 loss: 1.340472 eta: 2 days, 6:14:50 batch_cost: 2.2202 data_cost: 0.0013 ips: 25.2229 images/s [10/16 00:41:13] ppdet.engine INFO: Epoch: [138] [440/523] learning_rate: 0.223318 loss_vfl: 0.876455 loss_bbox: 0.289663 loss_dfl: 0.190171 loss: 1.351649 eta: 2 days, 6:14:02 batch_cost: 2.2284 data_cost: 0.0013 ips: 25.1301 images/s [10/16 00:42:01] ppdet.engine INFO: Epoch: [138] [460/523] learning_rate: 0.223238 loss_vfl: 0.864198 loss_bbox: 0.288345 loss_dfl: 0.187788 loss: 1.312408 eta: 2 days, 6:13:15 batch_cost: 2.2762 data_cost: 0.0013 ips: 24.6028 images/s [10/16 00:42:48] ppdet.engine INFO: Epoch: [138] [480/523] learning_rate: 0.223158 loss_vfl: 0.867806 loss_bbox: 0.295394 loss_dfl: 0.189964 loss: 1.349756 eta: 2 days, 6:12:27 batch_cost: 2.2623 data_cost: 0.0013 ips: 24.7538 images/s [10/16 00:43:35] ppdet.engine INFO: Epoch: [138] [500/523] learning_rate: 0.223079 loss_vfl: 0.860270 loss_bbox: 0.282792 loss_dfl: 0.183462 loss: 1.337011 eta: 2 days, 6:11:39 batch_cost: 2.2369 data_cost: 0.0012 ips: 25.0347 images/s [10/16 00:44:17] ppdet.engine INFO: Epoch: [138] [520/523] learning_rate: 0.222999 loss_vfl: 0.894627 loss_bbox: 0.301650 loss_dfl: 0.204043 loss: 1.387166 eta: 2 days, 6:10:45 batch_cost: 1.9885 data_cost: 0.0012 ips: 28.1624 images/s [10/16 00:44:47] ppdet.engine INFO: Epoch: [139] [ 0/523] learning_rate: 0.222987 loss_vfl: 0.873289 loss_bbox: 0.305928 loss_dfl: 0.207291 loss: 1.361533 eta: 2 days, 6:11:00 batch_cost: 2.9769 data_cost: 0.6034 ips: 18.8117 images/s [10/16 00:45:35] ppdet.engine INFO: Epoch: [139] [ 20/523] learning_rate: 0.222908 loss_vfl: 0.860391 loss_bbox: 0.295461 loss_dfl: 0.191894 loss: 1.347722 eta: 2 days, 6:10:13 batch_cost: 2.2973 data_cost: 0.0015 ips: 24.3765 images/s [10/16 00:46:24] ppdet.engine INFO: Epoch: [139] [ 40/523] learning_rate: 0.222828 loss_vfl: 0.843227 loss_bbox: 0.287976 loss_dfl: 0.188723 loss: 1.325672 eta: 2 days, 6:09:28 batch_cost: 2.3404 data_cost: 0.0015 ips: 23.9274 images/s [10/16 00:47:12] ppdet.engine INFO: Epoch: [139] [ 60/523] learning_rate: 0.222749 loss_vfl: 0.861778 loss_bbox: 0.286743 loss_dfl: 0.190052 loss: 1.343408 eta: 2 days, 6:08:41 batch_cost: 2.3003 data_cost: 0.0014 ips: 24.3451 images/s [10/16 00:48:00] ppdet.engine INFO: Epoch: [139] [ 80/523] learning_rate: 0.222669 loss_vfl: 0.852722 loss_bbox: 0.306047 loss_dfl: 0.195478 loss: 1.355517 eta: 2 days, 6:07:54 batch_cost: 2.2948 data_cost: 0.0013 ips: 24.4027 images/s [10/16 00:48:49] ppdet.engine INFO: Epoch: [139] [100/523] learning_rate: 0.222590 loss_vfl: 0.849047 loss_bbox: 0.286707 loss_dfl: 0.190990 loss: 1.320726 eta: 2 days, 6:07:06 batch_cost: 2.2559 data_cost: 0.0014 ips: 24.8240 images/s [10/16 00:49:35] ppdet.engine INFO: Epoch: [139] [120/523] learning_rate: 0.222510 loss_vfl: 0.845599 loss_bbox: 0.304350 loss_dfl: 0.196696 loss: 1.339600 eta: 2 days, 6:06:18 batch_cost: 2.2280 data_cost: 0.0013 ips: 25.1345 images/s [10/16 00:50:24] ppdet.engine INFO: Epoch: [139] [140/523] learning_rate: 0.222430 loss_vfl: 0.852827 loss_bbox: 0.310345 loss_dfl: 0.202494 loss: 1.367837 eta: 2 days, 6:05:31 batch_cost: 2.2910 data_cost: 0.0015 ips: 24.4430 images/s [10/16 00:51:11] ppdet.engine INFO: Epoch: [139] [160/523] learning_rate: 0.222351 loss_vfl: 0.842192 loss_bbox: 0.287540 loss_dfl: 0.189665 loss: 1.347285 eta: 2 days, 6:04:43 batch_cost: 2.2423 data_cost: 0.0014 ips: 24.9743 images/s [10/16 00:51:57] ppdet.engine INFO: Epoch: [139] [180/523] learning_rate: 0.222271 loss_vfl: 0.863106 loss_bbox: 0.284593 loss_dfl: 0.191165 loss: 1.327675 eta: 2 days, 6:03:54 batch_cost: 2.2086 data_cost: 0.0013 ips: 25.3549 images/s [10/16 00:52:43] ppdet.engine INFO: Epoch: [139] [200/523] learning_rate: 0.222192 loss_vfl: 0.876153 loss_bbox: 0.281531 loss_dfl: 0.184417 loss: 1.327642 eta: 2 days, 6:03:04 batch_cost: 2.1642 data_cost: 0.0013 ips: 25.8759 images/s [10/16 00:53:31] ppdet.engine INFO: Epoch: [139] [220/523] learning_rate: 0.222112 loss_vfl: 0.856907 loss_bbox: 0.273091 loss_dfl: 0.183840 loss: 1.318128 eta: 2 days, 6:02:16 batch_cost: 2.2456 data_cost: 0.0014 ips: 24.9374 images/s [10/16 00:54:19] ppdet.engine INFO: Epoch: [139] [240/523] learning_rate: 0.222032 loss_vfl: 0.854551 loss_bbox: 0.303941 loss_dfl: 0.196764 loss: 1.345327 eta: 2 days, 6:01:30 batch_cost: 2.2992 data_cost: 0.0013 ips: 24.3568 images/s [10/16 00:55:07] ppdet.engine INFO: Epoch: [139] [260/523] learning_rate: 0.221953 loss_vfl: 0.866526 loss_bbox: 0.311719 loss_dfl: 0.193027 loss: 1.360581 eta: 2 days, 6:00:41 batch_cost: 2.2184 data_cost: 0.0012 ips: 25.2432 images/s [10/16 00:55:55] ppdet.engine INFO: Epoch: [139] [280/523] learning_rate: 0.221873 loss_vfl: 0.869133 loss_bbox: 0.281434 loss_dfl: 0.183208 loss: 1.327966 eta: 2 days, 5:59:54 batch_cost: 2.3004 data_cost: 0.0013 ips: 24.3435 images/s [10/16 00:56:43] ppdet.engine INFO: Epoch: [139] [300/523] learning_rate: 0.221794 loss_vfl: 0.848254 loss_bbox: 0.297951 loss_dfl: 0.189354 loss: 1.332596 eta: 2 days, 5:59:07 batch_cost: 2.2670 data_cost: 0.0015 ips: 24.7019 images/s [10/16 00:57:30] ppdet.engine INFO: Epoch: [139] [320/523] learning_rate: 0.221714 loss_vfl: 0.848649 loss_bbox: 0.311832 loss_dfl: 0.198323 loss: 1.356031 eta: 2 days, 5:58:19 batch_cost: 2.2492 data_cost: 0.0013 ips: 24.8972 images/s [10/16 00:58:17] ppdet.engine INFO: Epoch: [139] [340/523] learning_rate: 0.221634 loss_vfl: 0.836778 loss_bbox: 0.304035 loss_dfl: 0.200546 loss: 1.358904 eta: 2 days, 5:57:31 batch_cost: 2.2546 data_cost: 0.0014 ips: 24.8382 images/s [10/16 00:59:04] ppdet.engine INFO: Epoch: [139] [360/523] learning_rate: 0.221555 loss_vfl: 0.855315 loss_bbox: 0.306865 loss_dfl: 0.194840 loss: 1.363074 eta: 2 days, 5:56:43 batch_cost: 2.2346 data_cost: 0.0012 ips: 25.0601 images/s [10/16 00:59:51] ppdet.engine INFO: Epoch: [139] [380/523] learning_rate: 0.221475 loss_vfl: 0.862214 loss_bbox: 0.291331 loss_dfl: 0.192224 loss: 1.332969 eta: 2 days, 5:55:55 batch_cost: 2.2193 data_cost: 0.0013 ips: 25.2327 images/s [10/16 01:00:39] ppdet.engine INFO: Epoch: [139] [400/523] learning_rate: 0.221395 loss_vfl: 0.853099 loss_bbox: 0.297295 loss_dfl: 0.195845 loss: 1.356962 eta: 2 days, 5:55:08 batch_cost: 2.2872 data_cost: 0.0013 ips: 24.4840 images/s [10/16 01:01:28] ppdet.engine INFO: Epoch: [139] [420/523] learning_rate: 0.221316 loss_vfl: 0.851804 loss_bbox: 0.294381 loss_dfl: 0.190470 loss: 1.349516 eta: 2 days, 5:54:21 batch_cost: 2.2872 data_cost: 0.0014 ips: 24.4840 images/s [10/16 01:02:17] ppdet.engine INFO: Epoch: [139] [440/523] learning_rate: 0.221236 loss_vfl: 0.864222 loss_bbox: 0.296205 loss_dfl: 0.192669 loss: 1.371369 eta: 2 days, 5:53:35 batch_cost: 2.3582 data_cost: 0.0013 ips: 23.7467 images/s [10/16 01:03:08] ppdet.engine INFO: Epoch: [139] [460/523] learning_rate: 0.221157 loss_vfl: 0.837067 loss_bbox: 0.312330 loss_dfl: 0.194727 loss: 1.371474 eta: 2 days, 5:52:52 batch_cost: 2.4509 data_cost: 0.0015 ips: 22.8486 images/s [10/16 01:03:58] ppdet.engine INFO: Epoch: [139] [480/523] learning_rate: 0.221077 loss_vfl: 0.859222 loss_bbox: 0.289166 loss_dfl: 0.186880 loss: 1.350443 eta: 2 days, 5:52:07 batch_cost: 2.3638 data_cost: 0.0012 ips: 23.6903 images/s [10/16 01:04:48] ppdet.engine INFO: Epoch: [139] [500/523] learning_rate: 0.220997 loss_vfl: 0.869533 loss_bbox: 0.292218 loss_dfl: 0.192173 loss: 1.336289 eta: 2 days, 5:51:22 batch_cost: 2.3985 data_cost: 0.0018 ips: 23.3480 images/s [10/16 01:05:31] ppdet.engine INFO: Epoch: [139] [520/523] learning_rate: 0.220918 loss_vfl: 0.856798 loss_bbox: 0.291602 loss_dfl: 0.193202 loss: 1.345924 eta: 2 days, 5:50:30 batch_cost: 2.0524 data_cost: 0.0013 ips: 27.2849 images/s [10/16 01:05:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 01:05:40] ppdet.engine INFO: Eval iter: 0 [10/16 01:06:18] ppdet.engine INFO: Eval iter: 100 [10/16 01:06:38] ppdet.engine INFO: Eval iter: 200 [10/16 01:06:59] ppdet.engine INFO: Eval iter: 300 [10/16 01:07:19] ppdet.engine INFO: Eval iter: 400 [10/16 01:07:40] ppdet.engine INFO: Eval iter: 500 [10/16 01:08:01] ppdet.engine INFO: Eval iter: 600 [10/16 01:08:22] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.78s) creating index... index created! [10/16 01:08:22] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.61s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.94s). Accumulating evaluation results... DONE (t=19.16s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.346 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.500 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.365 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138 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 ] = 0.551 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 ] = 0.474 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.505 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.236 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 ] = 0.737 [10/16 01:10:31] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.824649439411104 [10/16 01:10:31] ppdet.engine INFO: Best test bbox ap is 0.346. [10/16 01:10:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 01:10:33] ppdet.engine INFO: Epoch: [140] [ 0/523] learning_rate: 0.220906 loss_vfl: 0.865564 loss_bbox: 0.291602 loss_dfl: 0.191771 loss: 1.344525 eta: 2 days, 5:50:21 batch_cost: 1.9821 data_cost: 0.0013 ips: 28.2530 images/s [10/16 01:11:25] ppdet.engine INFO: Epoch: [140] [ 20/523] learning_rate: 0.220826 loss_vfl: 0.848010 loss_bbox: 0.296861 loss_dfl: 0.191181 loss: 1.330565 eta: 2 days, 5:49:39 batch_cost: 2.4898 data_cost: 0.0014 ips: 22.4914 images/s [10/16 01:12:17] ppdet.engine INFO: Epoch: [140] [ 40/523] learning_rate: 0.220746 loss_vfl: 0.847811 loss_bbox: 0.291832 loss_dfl: 0.190874 loss: 1.320140 eta: 2 days, 5:48:57 batch_cost: 2.4843 data_cost: 0.0017 ips: 22.5413 images/s [10/16 01:13:11] ppdet.engine INFO: Epoch: [140] [ 60/523] learning_rate: 0.220667 loss_vfl: 0.848930 loss_bbox: 0.291955 loss_dfl: 0.184367 loss: 1.309743 eta: 2 days, 5:48:16 batch_cost: 2.5835 data_cost: 0.0021 ips: 21.6763 images/s [10/16 01:14:03] ppdet.engine INFO: Epoch: [140] [ 80/523] learning_rate: 0.220587 loss_vfl: 0.859475 loss_bbox: 0.294651 loss_dfl: 0.189664 loss: 1.340360 eta: 2 days, 5:47:34 batch_cost: 2.4811 data_cost: 0.0013 ips: 22.5705 images/s [10/16 01:14:54] ppdet.engine INFO: Epoch: [140] [100/523] learning_rate: 0.220507 loss_vfl: 0.841166 loss_bbox: 0.293787 loss_dfl: 0.193786 loss: 1.319707 eta: 2 days, 5:46:49 batch_cost: 2.4030 data_cost: 0.0023 ips: 23.3042 images/s [10/16 01:15:43] ppdet.engine INFO: Epoch: [140] [120/523] learning_rate: 0.220428 loss_vfl: 0.844280 loss_bbox: 0.271971 loss_dfl: 0.182855 loss: 1.317701 eta: 2 days, 5:46:04 batch_cost: 2.3443 data_cost: 0.0014 ips: 23.8874 images/s [10/16 01:16:33] ppdet.engine INFO: Epoch: [140] [140/523] learning_rate: 0.220348 loss_vfl: 0.854465 loss_bbox: 0.301780 loss_dfl: 0.197436 loss: 1.363881 eta: 2 days, 5:45:19 batch_cost: 2.3991 data_cost: 0.0013 ips: 23.3420 images/s [10/16 01:17:23] ppdet.engine INFO: Epoch: [140] [160/523] learning_rate: 0.220268 loss_vfl: 0.865832 loss_bbox: 0.285935 loss_dfl: 0.188122 loss: 1.340725 eta: 2 days, 5:44:34 batch_cost: 2.3843 data_cost: 0.0014 ips: 23.4874 images/s [10/16 01:18:12] ppdet.engine INFO: Epoch: [140] [180/523] learning_rate: 0.220189 loss_vfl: 0.874980 loss_bbox: 0.289733 loss_dfl: 0.183953 loss: 1.341054 eta: 2 days, 5:43:49 batch_cost: 2.3510 data_cost: 0.0015 ips: 23.8194 images/s [10/16 01:19:02] ppdet.engine INFO: Epoch: [140] [200/523] learning_rate: 0.220109 loss_vfl: 0.862896 loss_bbox: 0.310128 loss_dfl: 0.196327 loss: 1.352959 eta: 2 days, 5:43:04 batch_cost: 2.3801 data_cost: 0.0027 ips: 23.5289 images/s [10/16 01:19:53] ppdet.engine INFO: Epoch: [140] [220/523] learning_rate: 0.220029 loss_vfl: 0.870879 loss_bbox: 0.287844 loss_dfl: 0.193905 loss: 1.348424 eta: 2 days, 5:42:20 batch_cost: 2.4388 data_cost: 0.0014 ips: 22.9617 images/s [10/16 01:20:43] ppdet.engine INFO: Epoch: [140] [240/523] learning_rate: 0.219950 loss_vfl: 0.842301 loss_bbox: 0.297402 loss_dfl: 0.188393 loss: 1.317664 eta: 2 days, 5:41:36 batch_cost: 2.4091 data_cost: 0.0036 ips: 23.2454 images/s [10/16 01:21:34] ppdet.engine INFO: Epoch: [140] [260/523] learning_rate: 0.219870 loss_vfl: 0.849676 loss_bbox: 0.291104 loss_dfl: 0.195429 loss: 1.346562 eta: 2 days, 5:40:52 batch_cost: 2.4064 data_cost: 0.0026 ips: 23.2713 images/s [10/16 01:22:25] ppdet.engine INFO: Epoch: [140] [280/523] learning_rate: 0.219790 loss_vfl: 0.860717 loss_bbox: 0.302695 loss_dfl: 0.194829 loss: 1.360845 eta: 2 days, 5:40:09 batch_cost: 2.4589 data_cost: 0.0013 ips: 22.7747 images/s [10/16 01:23:16] ppdet.engine INFO: Epoch: [140] [300/523] learning_rate: 0.219711 loss_vfl: 0.860126 loss_bbox: 0.269804 loss_dfl: 0.181402 loss: 1.325069 eta: 2 days, 5:39:25 batch_cost: 2.4236 data_cost: 0.0027 ips: 23.1063 images/s [10/16 01:24:03] ppdet.engine INFO: Epoch: [140] [320/523] learning_rate: 0.219631 loss_vfl: 0.850323 loss_bbox: 0.274180 loss_dfl: 0.182796 loss: 1.325964 eta: 2 days, 5:38:38 batch_cost: 2.2889 data_cost: 0.0044 ips: 24.4655 images/s [10/16 01:24:52] ppdet.engine INFO: Epoch: [140] [340/523] learning_rate: 0.219551 loss_vfl: 0.855745 loss_bbox: 0.286865 loss_dfl: 0.194196 loss: 1.342702 eta: 2 days, 5:37:52 batch_cost: 2.3322 data_cost: 0.0021 ips: 24.0121 images/s [10/16 01:25:44] ppdet.engine INFO: Epoch: [140] [360/523] learning_rate: 0.219471 loss_vfl: 0.858425 loss_bbox: 0.285475 loss_dfl: 0.188913 loss: 1.338061 eta: 2 days, 5:37:09 batch_cost: 2.4429 data_cost: 0.0017 ips: 22.9235 images/s [10/16 01:26:33] ppdet.engine INFO: Epoch: [140] [380/523] learning_rate: 0.219392 loss_vfl: 0.857418 loss_bbox: 0.276205 loss_dfl: 0.181820 loss: 1.313948 eta: 2 days, 5:36:23 batch_cost: 2.3625 data_cost: 0.0026 ips: 23.7034 images/s [10/16 01:27:23] ppdet.engine INFO: Epoch: [140] [400/523] learning_rate: 0.219312 loss_vfl: 0.853374 loss_bbox: 0.306966 loss_dfl: 0.191490 loss: 1.340108 eta: 2 days, 5:35:39 batch_cost: 2.4012 data_cost: 0.0025 ips: 23.3222 images/s [10/16 01:28:13] ppdet.engine INFO: Epoch: [140] [420/523] learning_rate: 0.219232 loss_vfl: 0.849056 loss_bbox: 0.302717 loss_dfl: 0.196407 loss: 1.322825 eta: 2 days, 5:34:54 batch_cost: 2.3687 data_cost: 0.0022 ips: 23.6414 images/s [10/16 01:29:03] ppdet.engine INFO: Epoch: [140] [440/523] learning_rate: 0.219153 loss_vfl: 0.854027 loss_bbox: 0.297924 loss_dfl: 0.192499 loss: 1.358988 eta: 2 days, 5:34:10 batch_cost: 2.4161 data_cost: 0.0013 ips: 23.1778 images/s [10/16 01:29:56] ppdet.engine INFO: Epoch: [140] [460/523] learning_rate: 0.219073 loss_vfl: 0.856353 loss_bbox: 0.293884 loss_dfl: 0.190692 loss: 1.329636 eta: 2 days, 5:33:28 batch_cost: 2.5330 data_cost: 0.0025 ips: 22.1082 images/s [10/16 01:30:46] ppdet.engine INFO: Epoch: [140] [480/523] learning_rate: 0.218993 loss_vfl: 0.858884 loss_bbox: 0.298061 loss_dfl: 0.196015 loss: 1.336168 eta: 2 days, 5:32:43 batch_cost: 2.3878 data_cost: 0.0015 ips: 23.4526 images/s [10/16 01:31:36] ppdet.engine INFO: Epoch: [140] [500/523] learning_rate: 0.218913 loss_vfl: 0.878962 loss_bbox: 0.295088 loss_dfl: 0.188072 loss: 1.341432 eta: 2 days, 5:31:59 batch_cost: 2.3888 data_cost: 0.0025 ips: 23.4427 images/s [10/16 01:32:20] ppdet.engine INFO: Epoch: [140] [520/523] learning_rate: 0.218834 loss_vfl: 0.853202 loss_bbox: 0.295597 loss_dfl: 0.188459 loss: 1.352941 eta: 2 days, 5:31:08 batch_cost: 2.1117 data_cost: 0.0013 ips: 26.5191 images/s [10/16 01:32:50] ppdet.engine INFO: Epoch: [141] [ 0/523] learning_rate: 0.218822 loss_vfl: 0.863984 loss_bbox: 0.293699 loss_dfl: 0.182697 loss: 1.352941 eta: 2 days, 5:31:21 batch_cost: 2.9932 data_cost: 0.4508 ips: 18.7093 images/s [10/16 01:33:45] ppdet.engine INFO: Epoch: [141] [ 20/523] learning_rate: 0.218742 loss_vfl: 0.828433 loss_bbox: 0.293754 loss_dfl: 0.195285 loss: 1.334720 eta: 2 days, 5:30:41 batch_cost: 2.5965 data_cost: 0.0015 ips: 21.5678 images/s [10/16 01:34:34] ppdet.engine INFO: Epoch: [141] 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loss_bbox: 0.286274 loss_dfl: 0.182746 loss: 1.320804 eta: 2 days, 5:27:04 batch_cost: 2.4583 data_cost: 0.0014 ips: 22.7798 images/s [10/16 01:38:50] ppdet.engine INFO: Epoch: [141] [140/523] learning_rate: 0.218263 loss_vfl: 0.850515 loss_bbox: 0.294928 loss_dfl: 0.188125 loss: 1.356671 eta: 2 days, 5:26:20 batch_cost: 2.4212 data_cost: 0.0013 ips: 23.1289 images/s [10/16 01:39:41] ppdet.engine INFO: Epoch: [141] [160/523] learning_rate: 0.218184 loss_vfl: 0.860336 loss_bbox: 0.284692 loss_dfl: 0.189113 loss: 1.344998 eta: 2 days, 5:25:35 batch_cost: 2.3922 data_cost: 0.0014 ips: 23.4091 images/s [10/16 01:40:31] ppdet.engine INFO: Epoch: [141] [180/523] learning_rate: 0.218104 loss_vfl: 0.855574 loss_bbox: 0.298115 loss_dfl: 0.189127 loss: 1.331027 eta: 2 days, 5:24:51 batch_cost: 2.3999 data_cost: 0.0023 ips: 23.3345 images/s [10/16 01:41:22] ppdet.engine INFO: Epoch: [141] [200/523] learning_rate: 0.218024 loss_vfl: 0.836235 loss_bbox: 0.304842 loss_dfl: 0.192915 loss: 1.337347 eta: 2 days, 5:24:07 batch_cost: 2.4467 data_cost: 0.0013 ips: 22.8876 images/s [10/16 01:42:12] ppdet.engine INFO: Epoch: [141] [220/523] learning_rate: 0.217944 loss_vfl: 0.882115 loss_bbox: 0.294508 loss_dfl: 0.190937 loss: 1.348668 eta: 2 days, 5:23:23 batch_cost: 2.4239 data_cost: 0.0031 ips: 23.1034 images/s [10/16 01:43:03] ppdet.engine INFO: Epoch: [141] [240/523] learning_rate: 0.217865 loss_vfl: 0.846772 loss_bbox: 0.298303 loss_dfl: 0.200049 loss: 1.360297 eta: 2 days, 5:22:40 batch_cost: 2.4480 data_cost: 0.0013 ips: 22.8761 images/s [10/16 01:43:54] ppdet.engine INFO: Epoch: [141] [260/523] learning_rate: 0.217785 loss_vfl: 0.844181 loss_bbox: 0.296632 loss_dfl: 0.190968 loss: 1.331962 eta: 2 days, 5:21:56 batch_cost: 2.4148 data_cost: 0.0026 ips: 23.1901 images/s [10/16 01:44:44] ppdet.engine INFO: Epoch: [141] [280/523] learning_rate: 0.217705 loss_vfl: 0.861436 loss_bbox: 0.277800 loss_dfl: 0.181161 loss: 1.315321 eta: 2 days, 5:21:11 batch_cost: 2.3917 data_cost: 0.0024 ips: 23.4147 images/s [10/16 01:45:34] ppdet.engine INFO: Epoch: [141] [300/523] learning_rate: 0.217625 loss_vfl: 0.899920 loss_bbox: 0.288473 loss_dfl: 0.186235 loss: 1.380832 eta: 2 days, 5:20:26 batch_cost: 2.3951 data_cost: 0.0013 ips: 23.3808 images/s [10/16 01:46:23] ppdet.engine INFO: Epoch: [141] [320/523] learning_rate: 0.217546 loss_vfl: 0.856265 loss_bbox: 0.290881 loss_dfl: 0.194855 loss: 1.339994 eta: 2 days, 5:19:41 batch_cost: 2.3660 data_cost: 0.0015 ips: 23.6689 images/s [10/16 01:47:13] ppdet.engine INFO: Epoch: [141] [340/523] learning_rate: 0.217466 loss_vfl: 0.880575 loss_bbox: 0.303260 loss_dfl: 0.194441 loss: 1.367743 eta: 2 days, 5:18:56 batch_cost: 2.3696 data_cost: 0.0023 ips: 23.6327 images/s [10/16 01:48:07] ppdet.engine INFO: Epoch: [141] [360/523] learning_rate: 0.217386 loss_vfl: 0.840081 loss_bbox: 0.304907 loss_dfl: 0.198759 loss: 1.350243 eta: 2 days, 5:18:16 batch_cost: 2.6073 data_cost: 0.0033 ips: 21.4782 images/s [10/16 01:49:01] ppdet.engine INFO: Epoch: [141] [380/523] learning_rate: 0.217306 loss_vfl: 0.858461 loss_bbox: 0.294485 loss_dfl: 0.189883 loss: 1.352112 eta: 2 days, 5:17:35 batch_cost: 2.5634 data_cost: 0.0015 ips: 21.8457 images/s [10/16 01:49:50] ppdet.engine INFO: Epoch: [141] [400/523] learning_rate: 0.217226 loss_vfl: 0.841248 loss_bbox: 0.286623 loss_dfl: 0.190983 loss: 1.335691 eta: 2 days, 5:16:50 batch_cost: 2.3723 data_cost: 0.0013 ips: 23.6060 images/s [10/16 01:50:39] ppdet.engine INFO: Epoch: [141] [420/523] learning_rate: 0.217147 loss_vfl: 0.854018 loss_bbox: 0.295367 loss_dfl: 0.191719 loss: 1.359018 eta: 2 days, 5:16:04 batch_cost: 2.3419 data_cost: 0.0013 ips: 23.9119 images/s [10/16 01:51:29] ppdet.engine INFO: Epoch: [141] [440/523] learning_rate: 0.217067 loss_vfl: 0.866451 loss_bbox: 0.280917 loss_dfl: 0.184131 loss: 1.318819 eta: 2 days, 5:15:19 batch_cost: 2.3729 data_cost: 0.0027 ips: 23.5996 images/s [10/16 01:52:20] ppdet.engine INFO: Epoch: [141] [460/523] learning_rate: 0.216987 loss_vfl: 0.861975 loss_bbox: 0.304103 loss_dfl: 0.203103 loss: 1.370748 eta: 2 days, 5:14:36 batch_cost: 2.4506 data_cost: 0.0014 ips: 22.8516 images/s [10/16 01:53:11] ppdet.engine INFO: Epoch: [141] [480/523] learning_rate: 0.216907 loss_vfl: 0.863860 loss_bbox: 0.291212 loss_dfl: 0.191249 loss: 1.348423 eta: 2 days, 5:13:52 batch_cost: 2.4522 data_cost: 0.0013 ips: 22.8362 images/s [10/16 01:54:02] ppdet.engine INFO: Epoch: [141] [500/523] learning_rate: 0.216827 loss_vfl: 0.846905 loss_bbox: 0.304578 loss_dfl: 0.190368 loss: 1.341144 eta: 2 days, 5:13:08 batch_cost: 2.4183 data_cost: 0.0019 ips: 23.1566 images/s [10/16 01:54:46] ppdet.engine INFO: Epoch: [141] [520/523] learning_rate: 0.216748 loss_vfl: 0.863725 loss_bbox: 0.283290 loss_dfl: 0.184169 loss: 1.348865 eta: 2 days, 5:12:17 batch_cost: 2.1103 data_cost: 0.0013 ips: 26.5369 images/s [10/16 01:55:17] ppdet.engine INFO: Epoch: [142] [ 0/523] learning_rate: 0.216736 loss_vfl: 0.856249 loss_bbox: 0.283305 loss_dfl: 0.183416 loss: 1.340976 eta: 2 days, 5:12:32 batch_cost: 3.0394 data_cost: 0.4426 ips: 18.4245 images/s [10/16 01:56:11] ppdet.engine INFO: Epoch: [142] [ 20/523] learning_rate: 0.216656 loss_vfl: 0.843265 loss_bbox: 0.286368 loss_dfl: 0.188690 loss: 1.336669 eta: 2 days, 5:11:51 batch_cost: 2.5770 data_cost: 0.0014 ips: 21.7311 images/s [10/16 01:57:03] ppdet.engine INFO: Epoch: [142] [ 40/523] learning_rate: 0.216576 loss_vfl: 0.851470 loss_bbox: 0.283652 loss_dfl: 0.189645 loss: 1.342058 eta: 2 days, 5:11:09 batch_cost: 2.5345 data_cost: 0.0027 ips: 22.0947 images/s [10/16 01:57:54] ppdet.engine INFO: Epoch: [142] [ 60/523] learning_rate: 0.216496 loss_vfl: 0.846053 loss_bbox: 0.281974 loss_dfl: 0.187058 loss: 1.331292 eta: 2 days, 5:10:25 batch_cost: 2.4111 data_cost: 0.0013 ips: 23.2262 images/s [10/16 01:58:44] ppdet.engine INFO: Epoch: [142] [ 80/523] learning_rate: 0.216416 loss_vfl: 0.844018 loss_bbox: 0.295144 loss_dfl: 0.193174 loss: 1.339602 eta: 2 days, 5:09:41 batch_cost: 2.4241 data_cost: 0.0023 ips: 23.1015 images/s [10/16 01:59:34] ppdet.engine INFO: Epoch: [142] [100/523] learning_rate: 0.216336 loss_vfl: 0.858762 loss_bbox: 0.294981 loss_dfl: 0.188518 loss: 1.357064 eta: 2 days, 5:08:57 batch_cost: 2.4004 data_cost: 0.0013 ips: 23.3299 images/s [10/16 02:00:24] ppdet.engine INFO: Epoch: [142] [120/523] learning_rate: 0.216257 loss_vfl: 0.846923 loss_bbox: 0.272165 loss_dfl: 0.181051 loss: 1.305918 eta: 2 days, 5:08:12 batch_cost: 2.4023 data_cost: 0.0012 ips: 23.3106 images/s [10/16 02:01:14] ppdet.engine INFO: Epoch: [142] [140/523] learning_rate: 0.216177 loss_vfl: 0.835087 loss_bbox: 0.298279 loss_dfl: 0.195435 loss: 1.327886 eta: 2 days, 5:07:27 batch_cost: 2.3632 data_cost: 0.0021 ips: 23.6966 images/s [10/16 02:02:04] ppdet.engine INFO: Epoch: [142] [160/523] learning_rate: 0.216097 loss_vfl: 0.845929 loss_bbox: 0.290599 loss_dfl: 0.186722 loss: 1.330740 eta: 2 days, 5:06:42 batch_cost: 2.3721 data_cost: 0.0014 ips: 23.6077 images/s [10/16 02:02:54] ppdet.engine INFO: Epoch: [142] [180/523] learning_rate: 0.216017 loss_vfl: 0.845930 loss_bbox: 0.285511 loss_dfl: 0.191437 loss: 1.346525 eta: 2 days, 5:05:57 batch_cost: 2.4075 data_cost: 0.0025 ips: 23.2608 images/s [10/16 02:03:43] ppdet.engine INFO: Epoch: [142] [200/523] learning_rate: 0.215937 loss_vfl: 0.859712 loss_bbox: 0.294154 loss_dfl: 0.194331 loss: 1.339292 eta: 2 days, 5:05:12 batch_cost: 2.3531 data_cost: 0.0019 ips: 23.7983 images/s [10/16 02:04:33] ppdet.engine INFO: Epoch: [142] [220/523] learning_rate: 0.215857 loss_vfl: 0.852881 loss_bbox: 0.294623 loss_dfl: 0.197072 loss: 1.340153 eta: 2 days, 5:04:26 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9655 images/s [10/16 02:05:22] ppdet.engine INFO: Epoch: [142] [240/523] learning_rate: 0.215778 loss_vfl: 0.878887 loss_bbox: 0.295356 loss_dfl: 0.191639 loss: 1.379804 eta: 2 days, 5:03:41 batch_cost: 2.3815 data_cost: 0.0013 ips: 23.5150 images/s [10/16 02:06:13] ppdet.engine INFO: Epoch: [142] [260/523] learning_rate: 0.215698 loss_vfl: 0.862694 loss_bbox: 0.281061 loss_dfl: 0.193586 loss: 1.331127 eta: 2 days, 5:02:57 batch_cost: 2.4415 data_cost: 0.0013 ips: 22.9372 images/s [10/16 02:07:03] ppdet.engine INFO: Epoch: [142] [280/523] learning_rate: 0.215618 loss_vfl: 0.860069 loss_bbox: 0.263988 loss_dfl: 0.177704 loss: 1.310044 eta: 2 days, 5:02:12 batch_cost: 2.4006 data_cost: 0.0013 ips: 23.3277 images/s [10/16 02:07:54] ppdet.engine INFO: Epoch: [142] [300/523] learning_rate: 0.215538 loss_vfl: 0.861156 loss_bbox: 0.287130 loss_dfl: 0.184562 loss: 1.339911 eta: 2 days, 5:01:29 batch_cost: 2.4347 data_cost: 0.0029 ips: 23.0008 images/s [10/16 02:08:45] ppdet.engine INFO: Epoch: [142] [320/523] learning_rate: 0.215458 loss_vfl: 0.852397 loss_bbox: 0.295380 loss_dfl: 0.193524 loss: 1.338515 eta: 2 days, 5:00:45 batch_cost: 2.4246 data_cost: 0.0013 ips: 23.0967 images/s [10/16 02:09:35] ppdet.engine INFO: Epoch: [142] [340/523] learning_rate: 0.215378 loss_vfl: 0.885595 loss_bbox: 0.283303 loss_dfl: 0.190303 loss: 1.364695 eta: 2 days, 4:59:59 batch_cost: 2.3614 data_cost: 0.0013 ips: 23.7147 images/s [10/16 02:10:25] ppdet.engine INFO: Epoch: [142] [360/523] learning_rate: 0.215299 loss_vfl: 0.870210 loss_bbox: 0.301748 loss_dfl: 0.194264 loss: 1.357615 eta: 2 days, 4:59:14 batch_cost: 2.3937 data_cost: 0.0013 ips: 23.3949 images/s [10/16 02:11:14] ppdet.engine INFO: Epoch: [142] [380/523] learning_rate: 0.215219 loss_vfl: 0.847319 loss_bbox: 0.311673 loss_dfl: 0.193886 loss: 1.349065 eta: 2 days, 4:58:29 batch_cost: 2.3725 data_cost: 0.0025 ips: 23.6038 images/s [10/16 02:12:05] ppdet.engine INFO: Epoch: [142] [400/523] learning_rate: 0.215139 loss_vfl: 0.848242 loss_bbox: 0.303803 loss_dfl: 0.189602 loss: 1.324576 eta: 2 days, 4:57:45 batch_cost: 2.4214 data_cost: 0.0013 ips: 23.1269 images/s [10/16 02:12:54] ppdet.engine INFO: Epoch: [142] [420/523] learning_rate: 0.215059 loss_vfl: 0.850791 loss_bbox: 0.295168 loss_dfl: 0.190277 loss: 1.337497 eta: 2 days, 4:57:00 batch_cost: 2.3726 data_cost: 0.0013 ips: 23.6025 images/s [10/16 02:13:44] ppdet.engine INFO: Epoch: [142] [440/523] learning_rate: 0.214979 loss_vfl: 0.864534 loss_bbox: 0.291469 loss_dfl: 0.189573 loss: 1.346084 eta: 2 days, 4:56:15 batch_cost: 2.3864 data_cost: 0.0012 ips: 23.4661 images/s [10/16 02:14:32] ppdet.engine INFO: Epoch: [142] [460/523] learning_rate: 0.214899 loss_vfl: 0.863564 loss_bbox: 0.304983 loss_dfl: 0.198602 loss: 1.352519 eta: 2 days, 4:55:28 batch_cost: 2.2992 data_cost: 0.0014 ips: 24.3561 images/s [10/16 02:15:23] ppdet.engine INFO: Epoch: [142] [480/523] learning_rate: 0.214819 loss_vfl: 0.857699 loss_bbox: 0.282881 loss_dfl: 0.191204 loss: 1.344644 eta: 2 days, 4:54:44 batch_cost: 2.4158 data_cost: 0.0013 ips: 23.1805 images/s [10/16 02:16:12] ppdet.engine INFO: Epoch: [142] [500/523] learning_rate: 0.214739 loss_vfl: 0.842948 loss_bbox: 0.305688 loss_dfl: 0.190775 loss: 1.346156 eta: 2 days, 4:53:59 batch_cost: 2.3902 data_cost: 0.0013 ips: 23.4292 images/s [10/16 02:16:57] ppdet.engine INFO: Epoch: [142] [520/523] learning_rate: 0.214660 loss_vfl: 0.869051 loss_bbox: 0.290911 loss_dfl: 0.192662 loss: 1.365877 eta: 2 days, 4:53:09 batch_cost: 2.1183 data_cost: 0.0012 ips: 26.4357 images/s [10/16 02:17:27] ppdet.engine INFO: Epoch: [143] [ 0/523] learning_rate: 0.214648 loss_vfl: 0.871697 loss_bbox: 0.289163 loss_dfl: 0.192662 loss: 1.365877 eta: 2 days, 4:53:22 batch_cost: 3.0549 data_cost: 0.6438 ips: 18.3311 images/s [10/16 02:18:23] ppdet.engine INFO: Epoch: [143] [ 20/523] learning_rate: 0.214568 loss_vfl: 0.846801 loss_bbox: 0.302170 loss_dfl: 0.199763 loss: 1.329713 eta: 2 days, 4:52:44 batch_cost: 2.6641 data_cost: 0.0013 ips: 21.0203 images/s [10/16 02:19:15] ppdet.engine INFO: Epoch: [143] [ 40/523] learning_rate: 0.214488 loss_vfl: 0.858925 loss_bbox: 0.285925 loss_dfl: 0.178008 loss: 1.302077 eta: 2 days, 4:52:01 batch_cost: 2.4827 data_cost: 0.0013 ips: 22.5561 images/s [10/16 02:20:06] ppdet.engine INFO: Epoch: [143] [ 60/523] learning_rate: 0.214408 loss_vfl: 0.838236 loss_bbox: 0.287979 loss_dfl: 0.185809 loss: 1.314040 eta: 2 days, 4:51:18 batch_cost: 2.4665 data_cost: 0.0013 ips: 22.7046 images/s [10/16 02:20:56] ppdet.engine INFO: Epoch: [143] [ 80/523] learning_rate: 0.214328 loss_vfl: 0.829302 loss_bbox: 0.268368 loss_dfl: 0.180657 loss: 1.274892 eta: 2 days, 4:50:33 batch_cost: 2.3755 data_cost: 0.0028 ips: 23.5739 images/s [10/16 02:21:46] ppdet.engine INFO: Epoch: [143] [100/523] learning_rate: 0.214248 loss_vfl: 0.852834 loss_bbox: 0.284180 loss_dfl: 0.187801 loss: 1.311634 eta: 2 days, 4:49:48 batch_cost: 2.4110 data_cost: 0.0013 ips: 23.2265 images/s [10/16 02:22:37] ppdet.engine INFO: Epoch: [143] [120/523] learning_rate: 0.214168 loss_vfl: 0.833854 loss_bbox: 0.264065 loss_dfl: 0.175482 loss: 1.309691 eta: 2 days, 4:49:04 batch_cost: 2.4166 data_cost: 0.0013 ips: 23.1734 images/s [10/16 02:23:30] ppdet.engine INFO: Epoch: [143] [140/523] learning_rate: 0.214088 loss_vfl: 0.842102 loss_bbox: 0.287748 loss_dfl: 0.189598 loss: 1.323830 eta: 2 days, 4:48:22 batch_cost: 2.5316 data_cost: 0.0017 ips: 22.1208 images/s [10/16 02:24:22] ppdet.engine INFO: Epoch: [143] [160/523] learning_rate: 0.214009 loss_vfl: 0.856324 loss_bbox: 0.290769 loss_dfl: 0.186683 loss: 1.349529 eta: 2 days, 4:47:40 batch_cost: 2.5265 data_cost: 0.0015 ips: 22.1654 images/s [10/16 02:25:12] ppdet.engine INFO: Epoch: [143] [180/523] learning_rate: 0.213929 loss_vfl: 0.861039 loss_bbox: 0.281010 loss_dfl: 0.191460 loss: 1.329756 eta: 2 days, 4:46:55 batch_cost: 2.3727 data_cost: 0.0018 ips: 23.6017 images/s [10/16 02:26:01] ppdet.engine INFO: Epoch: [143] [200/523] learning_rate: 0.213849 loss_vfl: 0.835665 loss_bbox: 0.292487 loss_dfl: 0.185237 loss: 1.297513 eta: 2 days, 4:46:09 batch_cost: 2.3299 data_cost: 0.0020 ips: 24.0353 images/s [10/16 02:26:50] ppdet.engine INFO: Epoch: [143] [220/523] learning_rate: 0.213769 loss_vfl: 0.854164 loss_bbox: 0.286087 loss_dfl: 0.191116 loss: 1.341598 eta: 2 days, 4:45:24 batch_cost: 2.3850 data_cost: 0.0012 ips: 23.4800 images/s [10/16 02:27:41] ppdet.engine INFO: Epoch: [143] [240/523] learning_rate: 0.213689 loss_vfl: 0.842290 loss_bbox: 0.293994 loss_dfl: 0.189391 loss: 1.310160 eta: 2 days, 4:44:39 batch_cost: 2.3960 data_cost: 0.0013 ips: 23.3726 images/s [10/16 02:28:30] ppdet.engine INFO: Epoch: [143] [260/523] learning_rate: 0.213609 loss_vfl: 0.863881 loss_bbox: 0.269108 loss_dfl: 0.183249 loss: 1.339663 eta: 2 days, 4:43:54 batch_cost: 2.3783 data_cost: 0.0022 ips: 23.5464 images/s [10/16 02:29:19] ppdet.engine INFO: Epoch: [143] [280/523] learning_rate: 0.213529 loss_vfl: 0.892074 loss_bbox: 0.285230 loss_dfl: 0.184552 loss: 1.350330 eta: 2 days, 4:43:08 batch_cost: 2.3331 data_cost: 0.0013 ips: 24.0021 images/s [10/16 02:30:10] ppdet.engine INFO: Epoch: [143] [300/523] learning_rate: 0.213449 loss_vfl: 0.873020 loss_bbox: 0.292926 loss_dfl: 0.190846 loss: 1.363609 eta: 2 days, 4:42:25 batch_cost: 2.4503 data_cost: 0.0015 ips: 22.8546 images/s [10/16 02:31:00] ppdet.engine INFO: Epoch: [143] [320/523] learning_rate: 0.213369 loss_vfl: 0.862751 loss_bbox: 0.295028 loss_dfl: 0.196185 loss: 1.356352 eta: 2 days, 4:41:39 batch_cost: 2.3716 data_cost: 0.0013 ips: 23.6126 images/s [10/16 02:31:50] ppdet.engine INFO: Epoch: [143] [340/523] learning_rate: 0.213289 loss_vfl: 0.841973 loss_bbox: 0.310353 loss_dfl: 0.195990 loss: 1.343929 eta: 2 days, 4:40:55 batch_cost: 2.4123 data_cost: 0.0025 ips: 23.2140 images/s [10/16 02:32:41] ppdet.engine INFO: Epoch: [143] [360/523] learning_rate: 0.213209 loss_vfl: 0.881308 loss_bbox: 0.301938 loss_dfl: 0.195933 loss: 1.375622 eta: 2 days, 4:40:12 batch_cost: 2.4600 data_cost: 0.0013 ips: 22.7645 images/s [10/16 02:33:32] ppdet.engine INFO: Epoch: [143] [380/523] learning_rate: 0.213130 loss_vfl: 0.834968 loss_bbox: 0.298966 loss_dfl: 0.186278 loss: 1.332983 eta: 2 days, 4:39:28 batch_cost: 2.4558 data_cost: 0.0014 ips: 22.8035 images/s [10/16 02:34:22] ppdet.engine INFO: Epoch: [143] [400/523] learning_rate: 0.213050 loss_vfl: 0.847280 loss_bbox: 0.293976 loss_dfl: 0.185689 loss: 1.305722 eta: 2 days, 4:38:43 batch_cost: 2.3617 data_cost: 0.0013 ips: 23.7116 images/s [10/16 02:35:10] ppdet.engine INFO: Epoch: [143] [420/523] learning_rate: 0.212970 loss_vfl: 0.858434 loss_bbox: 0.296231 loss_dfl: 0.201716 loss: 1.352517 eta: 2 days, 4:37:57 batch_cost: 2.3302 data_cost: 0.0013 ips: 24.0322 images/s [10/16 02:36:01] ppdet.engine INFO: Epoch: [143] [440/523] learning_rate: 0.212890 loss_vfl: 0.858268 loss_bbox: 0.277860 loss_dfl: 0.188530 loss: 1.316068 eta: 2 days, 4:37:12 batch_cost: 2.4162 data_cost: 0.0028 ips: 23.1766 images/s [10/16 02:36:51] ppdet.engine INFO: Epoch: [143] [460/523] learning_rate: 0.212810 loss_vfl: 0.841953 loss_bbox: 0.297068 loss_dfl: 0.195257 loss: 1.326270 eta: 2 days, 4:36:28 batch_cost: 2.4134 data_cost: 0.0013 ips: 23.2040 images/s [10/16 02:37:42] ppdet.engine INFO: Epoch: [143] [480/523] learning_rate: 0.212730 loss_vfl: 0.868643 loss_bbox: 0.282233 loss_dfl: 0.189029 loss: 1.343520 eta: 2 days, 4:35:44 batch_cost: 2.4096 data_cost: 0.0021 ips: 23.2404 images/s [10/16 02:38:31] ppdet.engine INFO: Epoch: [143] [500/523] learning_rate: 0.212650 loss_vfl: 0.890243 loss_bbox: 0.298472 loss_dfl: 0.191049 loss: 1.380832 eta: 2 days, 4:34:58 batch_cost: 2.3542 data_cost: 0.0013 ips: 23.7876 images/s [10/16 02:39:14] ppdet.engine INFO: Epoch: [143] [520/523] learning_rate: 0.212570 loss_vfl: 0.844095 loss_bbox: 0.308980 loss_dfl: 0.194787 loss: 1.345363 eta: 2 days, 4:34:06 batch_cost: 2.0606 data_cost: 0.0012 ips: 27.1762 images/s [10/16 02:39:41] ppdet.engine INFO: Epoch: [144] [ 0/523] learning_rate: 0.212558 loss_vfl: 0.842254 loss_bbox: 0.301432 loss_dfl: 0.193485 loss: 1.344320 eta: 2 days, 4:34:17 batch_cost: 2.8755 data_cost: 0.5351 ips: 19.4751 images/s [10/16 02:40:38] ppdet.engine INFO: Epoch: [144] [ 20/523] learning_rate: 0.212478 loss_vfl: 0.859943 loss_bbox: 0.303003 loss_dfl: 0.192136 loss: 1.358841 eta: 2 days, 4:33:38 batch_cost: 2.6597 data_cost: 0.0019 ips: 21.0546 images/s [10/16 02:41:28] ppdet.engine INFO: Epoch: [144] [ 40/523] learning_rate: 0.212398 loss_vfl: 0.849366 loss_bbox: 0.295361 loss_dfl: 0.198131 loss: 1.352311 eta: 2 days, 4:32:53 batch_cost: 2.3926 data_cost: 0.0012 ips: 23.4059 images/s [10/16 02:42:17] ppdet.engine INFO: Epoch: [144] [ 60/523] learning_rate: 0.212318 loss_vfl: 0.846496 loss_bbox: 0.288041 loss_dfl: 0.192535 loss: 1.363063 eta: 2 days, 4:32:07 batch_cost: 2.3622 data_cost: 0.0014 ips: 23.7072 images/s [10/16 02:43:08] ppdet.engine INFO: Epoch: [144] [ 80/523] learning_rate: 0.212238 loss_vfl: 0.845010 loss_bbox: 0.295209 loss_dfl: 0.194446 loss: 1.349174 eta: 2 days, 4:31:23 batch_cost: 2.4204 data_cost: 0.0014 ips: 23.1365 images/s [10/16 02:43:57] ppdet.engine INFO: Epoch: [144] [100/523] learning_rate: 0.212158 loss_vfl: 0.847159 loss_bbox: 0.287645 loss_dfl: 0.189039 loss: 1.307739 eta: 2 days, 4:30:38 batch_cost: 2.3762 data_cost: 0.0013 ips: 23.5671 images/s [10/16 02:44:46] ppdet.engine INFO: Epoch: [144] [120/523] learning_rate: 0.212078 loss_vfl: 0.852127 loss_bbox: 0.302085 loss_dfl: 0.202047 loss: 1.356210 eta: 2 days, 4:29:52 batch_cost: 2.3274 data_cost: 0.0013 ips: 24.0617 images/s [10/16 02:45:35] ppdet.engine INFO: Epoch: [144] [140/523] learning_rate: 0.211999 loss_vfl: 0.845207 loss_bbox: 0.310893 loss_dfl: 0.197763 loss: 1.359864 eta: 2 days, 4:29:06 batch_cost: 2.3338 data_cost: 0.0013 ips: 23.9956 images/s [10/16 02:46:24] ppdet.engine INFO: Epoch: [144] [160/523] learning_rate: 0.211919 loss_vfl: 0.855239 loss_bbox: 0.287948 loss_dfl: 0.179361 loss: 1.325155 eta: 2 days, 4:28:21 batch_cost: 2.3829 data_cost: 0.0014 ips: 23.5006 images/s [10/16 02:47:12] ppdet.engine INFO: Epoch: [144] [180/523] learning_rate: 0.211839 loss_vfl: 0.845162 loss_bbox: 0.293816 loss_dfl: 0.191876 loss: 1.333505 eta: 2 days, 4:27:34 batch_cost: 2.2944 data_cost: 0.0013 ips: 24.4069 images/s [10/16 02:48:02] ppdet.engine INFO: Epoch: [144] [200/523] learning_rate: 0.211759 loss_vfl: 0.840033 loss_bbox: 0.304376 loss_dfl: 0.190620 loss: 1.334248 eta: 2 days, 4:26:49 batch_cost: 2.4048 data_cost: 0.0020 ips: 23.2868 images/s [10/16 02:48:52] ppdet.engine INFO: Epoch: [144] [220/523] learning_rate: 0.211679 loss_vfl: 0.837855 loss_bbox: 0.306732 loss_dfl: 0.196978 loss: 1.353193 eta: 2 days, 4:26:03 batch_cost: 2.3595 data_cost: 0.0020 ips: 23.7341 images/s [10/16 02:49:41] ppdet.engine INFO: Epoch: [144] [240/523] learning_rate: 0.211599 loss_vfl: 0.851636 loss_bbox: 0.277556 loss_dfl: 0.187098 loss: 1.337662 eta: 2 days, 4:25:17 batch_cost: 2.3327 data_cost: 0.0013 ips: 24.0065 images/s [10/16 02:50:30] ppdet.engine INFO: Epoch: [144] [260/523] learning_rate: 0.211519 loss_vfl: 0.859592 loss_bbox: 0.292706 loss_dfl: 0.193426 loss: 1.328883 eta: 2 days, 4:24:32 batch_cost: 2.3590 data_cost: 0.0020 ips: 23.7390 images/s [10/16 02:51:20] ppdet.engine INFO: Epoch: [144] [280/523] learning_rate: 0.211439 loss_vfl: 0.868495 loss_bbox: 0.289559 loss_dfl: 0.193239 loss: 1.352357 eta: 2 days, 4:23:47 batch_cost: 2.3875 data_cost: 0.0014 ips: 23.4559 images/s [10/16 02:52:10] ppdet.engine INFO: Epoch: [144] [300/523] learning_rate: 0.211359 loss_vfl: 0.876171 loss_bbox: 0.298499 loss_dfl: 0.198822 loss: 1.363451 eta: 2 days, 4:23:02 batch_cost: 2.3763 data_cost: 0.0028 ips: 23.5659 images/s [10/16 02:53:00] ppdet.engine INFO: Epoch: [144] [320/523] learning_rate: 0.211279 loss_vfl: 0.843821 loss_bbox: 0.284571 loss_dfl: 0.177839 loss: 1.332888 eta: 2 days, 4:22:18 batch_cost: 2.4307 data_cost: 0.0073 ips: 23.0383 images/s [10/16 02:53:50] ppdet.engine INFO: Epoch: [144] [340/523] learning_rate: 0.211199 loss_vfl: 0.855932 loss_bbox: 0.307790 loss_dfl: 0.196864 loss: 1.358525 eta: 2 days, 4:21:33 batch_cost: 2.3912 data_cost: 0.0024 ips: 23.4188 images/s [10/16 02:54:40] ppdet.engine INFO: Epoch: [144] [360/523] learning_rate: 0.211119 loss_vfl: 0.854772 loss_bbox: 0.305845 loss_dfl: 0.194040 loss: 1.354033 eta: 2 days, 4:20:47 batch_cost: 2.3685 data_cost: 0.0013 ips: 23.6434 images/s [10/16 02:55:29] ppdet.engine INFO: Epoch: [144] [380/523] learning_rate: 0.211039 loss_vfl: 0.851472 loss_bbox: 0.300239 loss_dfl: 0.191853 loss: 1.342025 eta: 2 days, 4:20:02 batch_cost: 2.3594 data_cost: 0.0013 ips: 23.7351 images/s [10/16 02:56:18] ppdet.engine INFO: Epoch: [144] [400/523] learning_rate: 0.210959 loss_vfl: 0.846418 loss_bbox: 0.275399 loss_dfl: 0.189402 loss: 1.318457 eta: 2 days, 4:19:16 batch_cost: 2.3337 data_cost: 0.0013 ips: 23.9959 images/s [10/16 02:57:06] ppdet.engine INFO: Epoch: [144] [420/523] learning_rate: 0.210879 loss_vfl: 0.855853 loss_bbox: 0.296408 loss_dfl: 0.190998 loss: 1.324734 eta: 2 days, 4:18:29 batch_cost: 2.3119 data_cost: 0.0027 ips: 24.2223 images/s [10/16 02:57:55] ppdet.engine INFO: Epoch: [144] [440/523] learning_rate: 0.210799 loss_vfl: 0.855635 loss_bbox: 0.316711 loss_dfl: 0.193878 loss: 1.362189 eta: 2 days, 4:17:43 batch_cost: 2.3317 data_cost: 0.0013 ips: 24.0171 images/s [10/16 02:58:47] ppdet.engine INFO: Epoch: [144] [460/523] learning_rate: 0.210719 loss_vfl: 0.838818 loss_bbox: 0.282031 loss_dfl: 0.185885 loss: 1.326661 eta: 2 days, 4:17:00 batch_cost: 2.4644 data_cost: 0.0013 ips: 22.7238 images/s [10/16 02:59:38] ppdet.engine INFO: Epoch: [144] [480/523] learning_rate: 0.210639 loss_vfl: 0.839387 loss_bbox: 0.283860 loss_dfl: 0.186183 loss: 1.334037 eta: 2 days, 4:16:16 batch_cost: 2.4290 data_cost: 0.0032 ips: 23.0551 images/s [10/16 03:00:27] ppdet.engine INFO: Epoch: [144] [500/523] learning_rate: 0.210559 loss_vfl: 0.867452 loss_bbox: 0.284745 loss_dfl: 0.190381 loss: 1.374952 eta: 2 days, 4:15:31 batch_cost: 2.3879 data_cost: 0.0025 ips: 23.4518 images/s [10/16 03:01:09] ppdet.engine INFO: Epoch: [144] [520/523] learning_rate: 0.210479 loss_vfl: 0.837779 loss_bbox: 0.279444 loss_dfl: 0.185474 loss: 1.310165 eta: 2 days, 4:14:37 batch_cost: 1.9995 data_cost: 0.0012 ips: 28.0072 images/s [10/16 03:01:38] ppdet.engine INFO: Epoch: [145] [ 0/523] learning_rate: 0.210467 loss_vfl: 0.840830 loss_bbox: 0.286398 loss_dfl: 0.190866 loss: 1.321959 eta: 2 days, 4:14:49 batch_cost: 2.8839 data_cost: 0.7212 ips: 19.4182 images/s [10/16 03:02:30] ppdet.engine INFO: Epoch: [145] [ 20/523] learning_rate: 0.210387 loss_vfl: 0.860888 loss_bbox: 0.276236 loss_dfl: 0.185166 loss: 1.319076 eta: 2 days, 4:14:07 batch_cost: 2.5137 data_cost: 0.0016 ips: 22.2780 images/s [10/16 03:03:20] ppdet.engine INFO: Epoch: [145] [ 40/523] learning_rate: 0.210307 loss_vfl: 0.840881 loss_bbox: 0.305067 loss_dfl: 0.202537 loss: 1.350421 eta: 2 days, 4:13:22 batch_cost: 2.3677 data_cost: 0.0014 ips: 23.6519 images/s [10/16 03:04:10] ppdet.engine INFO: Epoch: [145] [ 60/523] learning_rate: 0.210227 loss_vfl: 0.844541 loss_bbox: 0.290956 loss_dfl: 0.196483 loss: 1.308827 eta: 2 days, 4:12:37 batch_cost: 2.3829 data_cost: 0.0019 ips: 23.5012 images/s [10/16 03:04:58] ppdet.engine INFO: Epoch: [145] [ 80/523] learning_rate: 0.210147 loss_vfl: 0.852336 loss_bbox: 0.294136 loss_dfl: 0.194142 loss: 1.351487 eta: 2 days, 4:11:50 batch_cost: 2.3027 data_cost: 0.0018 ips: 24.3194 images/s [10/16 03:05:50] ppdet.engine INFO: Epoch: [145] [100/523] learning_rate: 0.210067 loss_vfl: 0.839613 loss_bbox: 0.288605 loss_dfl: 0.186871 loss: 1.319301 eta: 2 days, 4:11:07 batch_cost: 2.4759 data_cost: 0.0022 ips: 22.6184 images/s [10/16 03:06:40] ppdet.engine INFO: Epoch: [145] [120/523] learning_rate: 0.209987 loss_vfl: 0.852413 loss_bbox: 0.299890 loss_dfl: 0.196461 loss: 1.372782 eta: 2 days, 4:10:21 batch_cost: 2.3552 data_cost: 0.0028 ips: 23.7775 images/s [10/16 03:07:29] ppdet.engine INFO: Epoch: [145] [140/523] learning_rate: 0.209907 loss_vfl: 0.837734 loss_bbox: 0.299863 loss_dfl: 0.195073 loss: 1.346364 eta: 2 days, 4:09:35 batch_cost: 2.3258 data_cost: 0.0019 ips: 24.0774 images/s [10/16 03:08:19] ppdet.engine INFO: Epoch: [145] [160/523] learning_rate: 0.209827 loss_vfl: 0.845588 loss_bbox: 0.289308 loss_dfl: 0.187337 loss: 1.333393 eta: 2 days, 4:08:51 batch_cost: 2.4240 data_cost: 0.0013 ips: 23.1025 images/s [10/16 03:09:09] ppdet.engine INFO: Epoch: [145] [180/523] learning_rate: 0.209747 loss_vfl: 0.864636 loss_bbox: 0.292285 loss_dfl: 0.193818 loss: 1.339636 eta: 2 days, 4:08:05 batch_cost: 2.3786 data_cost: 0.0021 ips: 23.5434 images/s [10/16 03:09:59] ppdet.engine INFO: Epoch: [145] [200/523] learning_rate: 0.209667 loss_vfl: 0.859298 loss_bbox: 0.294241 loss_dfl: 0.190659 loss: 1.341651 eta: 2 days, 4:07:21 batch_cost: 2.4047 data_cost: 0.0013 ips: 23.2873 images/s [10/16 03:10:49] ppdet.engine INFO: Epoch: [145] [220/523] learning_rate: 0.209587 loss_vfl: 0.841608 loss_bbox: 0.303171 loss_dfl: 0.199202 loss: 1.340905 eta: 2 days, 4:06:35 batch_cost: 2.3530 data_cost: 0.0014 ips: 23.7995 images/s [10/16 03:11:38] ppdet.engine INFO: Epoch: [145] [240/523] learning_rate: 0.209507 loss_vfl: 0.857720 loss_bbox: 0.281927 loss_dfl: 0.186595 loss: 1.337738 eta: 2 days, 4:05:50 batch_cost: 2.3807 data_cost: 0.0019 ips: 23.5220 images/s [10/16 03:12:27] ppdet.engine INFO: Epoch: [145] [260/523] learning_rate: 0.209427 loss_vfl: 0.859160 loss_bbox: 0.274053 loss_dfl: 0.185327 loss: 1.308154 eta: 2 days, 4:05:04 batch_cost: 2.3270 data_cost: 0.0013 ips: 24.0658 images/s [10/16 03:13:16] ppdet.engine INFO: Epoch: [145] [280/523] learning_rate: 0.209347 loss_vfl: 0.867603 loss_bbox: 0.306968 loss_dfl: 0.196078 loss: 1.323924 eta: 2 days, 4:04:17 batch_cost: 2.3248 data_cost: 0.0014 ips: 24.0880 images/s [10/16 03:14:05] ppdet.engine INFO: Epoch: [145] [300/523] learning_rate: 0.209267 loss_vfl: 0.855254 loss_bbox: 0.286733 loss_dfl: 0.189112 loss: 1.319182 eta: 2 days, 4:03:31 batch_cost: 2.3306 data_cost: 0.0027 ips: 24.0279 images/s [10/16 03:14:53] ppdet.engine INFO: Epoch: [145] [320/523] learning_rate: 0.209187 loss_vfl: 0.841419 loss_bbox: 0.314708 loss_dfl: 0.201521 loss: 1.361339 eta: 2 days, 4:02:44 batch_cost: 2.2870 data_cost: 0.0025 ips: 24.4864 images/s [10/16 03:15:42] ppdet.engine INFO: Epoch: [145] [340/523] learning_rate: 0.209107 loss_vfl: 0.844482 loss_bbox: 0.295644 loss_dfl: 0.192480 loss: 1.334484 eta: 2 days, 4:01:58 batch_cost: 2.3377 data_cost: 0.0023 ips: 23.9548 images/s [10/16 03:16:30] ppdet.engine INFO: Epoch: [145] [360/523] learning_rate: 0.209027 loss_vfl: 0.855432 loss_bbox: 0.277893 loss_dfl: 0.187767 loss: 1.357954 eta: 2 days, 4:01:12 batch_cost: 2.3162 data_cost: 0.0013 ips: 24.1773 images/s [10/16 03:17:19] ppdet.engine INFO: Epoch: [145] [380/523] learning_rate: 0.208947 loss_vfl: 0.862383 loss_bbox: 0.284837 loss_dfl: 0.184231 loss: 1.352070 eta: 2 days, 4:00:25 batch_cost: 2.3232 data_cost: 0.0014 ips: 24.1050 images/s [10/16 03:18:09] ppdet.engine INFO: Epoch: [145] [400/523] learning_rate: 0.208867 loss_vfl: 0.848574 loss_bbox: 0.298306 loss_dfl: 0.192893 loss: 1.341563 eta: 2 days, 3:59:40 batch_cost: 2.3983 data_cost: 0.0013 ips: 23.3495 images/s [10/16 03:18:59] ppdet.engine INFO: Epoch: [145] [420/523] learning_rate: 0.208787 loss_vfl: 0.858403 loss_bbox: 0.286000 loss_dfl: 0.188470 loss: 1.346707 eta: 2 days, 3:58:56 batch_cost: 2.3930 data_cost: 0.0015 ips: 23.4012 images/s [10/16 03:19:48] ppdet.engine INFO: Epoch: [145] [440/523] learning_rate: 0.208707 loss_vfl: 0.859255 loss_bbox: 0.292417 loss_dfl: 0.191631 loss: 1.352067 eta: 2 days, 3:58:10 batch_cost: 2.3407 data_cost: 0.0012 ips: 23.9247 images/s [10/16 03:20:36] ppdet.engine INFO: Epoch: [145] [460/523] learning_rate: 0.208627 loss_vfl: 0.838342 loss_bbox: 0.293646 loss_dfl: 0.188517 loss: 1.327526 eta: 2 days, 3:57:23 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1262 images/s [10/16 03:21:24] ppdet.engine INFO: Epoch: [145] [480/523] learning_rate: 0.208547 loss_vfl: 0.848374 loss_bbox: 0.271930 loss_dfl: 0.182165 loss: 1.320513 eta: 2 days, 3:56:36 batch_cost: 2.2754 data_cost: 0.0022 ips: 24.6115 images/s [10/16 03:22:13] ppdet.engine INFO: Epoch: [145] [500/523] learning_rate: 0.208467 loss_vfl: 0.840165 loss_bbox: 0.304188 loss_dfl: 0.185582 loss: 1.350402 eta: 2 days, 3:55:50 batch_cost: 2.3630 data_cost: 0.0014 ips: 23.6986 images/s [10/16 03:22:56] ppdet.engine INFO: Epoch: [145] [520/523] learning_rate: 0.208387 loss_vfl: 0.851406 loss_bbox: 0.298498 loss_dfl: 0.186447 loss: 1.352388 eta: 2 days, 3:54:57 batch_cost: 2.0024 data_cost: 0.0012 ips: 27.9671 images/s [10/16 03:23:29] ppdet.engine INFO: Epoch: [146] [ 0/523] learning_rate: 0.208375 loss_vfl: 0.852472 loss_bbox: 0.280910 loss_dfl: 0.182708 loss: 1.324416 eta: 2 days, 3:55:14 batch_cost: 3.1156 data_cost: 0.6207 ips: 17.9743 images/s [10/16 03:24:20] ppdet.engine INFO: Epoch: [146] [ 20/523] learning_rate: 0.208295 loss_vfl: 0.870369 loss_bbox: 0.288365 loss_dfl: 0.189806 loss: 1.330383 eta: 2 days, 3:54:30 batch_cost: 2.4404 data_cost: 0.0016 ips: 22.9474 images/s [10/16 03:25:11] ppdet.engine INFO: Epoch: [146] [ 40/523] learning_rate: 0.208215 loss_vfl: 0.850485 loss_bbox: 0.274916 loss_dfl: 0.186547 loss: 1.309313 eta: 2 days, 3:53:45 batch_cost: 2.4123 data_cost: 0.0038 ips: 23.2141 images/s [10/16 03:26:00] ppdet.engine INFO: Epoch: [146] [ 60/523] learning_rate: 0.208135 loss_vfl: 0.855461 loss_bbox: 0.290140 loss_dfl: 0.191610 loss: 1.330885 eta: 2 days, 3:53:00 batch_cost: 2.3627 data_cost: 0.0019 ips: 23.7019 images/s [10/16 03:26:50] ppdet.engine INFO: Epoch: [146] [ 80/523] learning_rate: 0.208055 loss_vfl: 0.851102 loss_bbox: 0.306432 loss_dfl: 0.193575 loss: 1.350234 eta: 2 days, 3:52:15 batch_cost: 2.3850 data_cost: 0.0014 ips: 23.4805 images/s [10/16 03:27:40] ppdet.engine INFO: Epoch: [146] [100/523] learning_rate: 0.207975 loss_vfl: 0.860341 loss_bbox: 0.293912 loss_dfl: 0.194904 loss: 1.319283 eta: 2 days, 3:51:30 batch_cost: 2.3766 data_cost: 0.0015 ips: 23.5630 images/s [10/16 03:28:30] ppdet.engine INFO: Epoch: [146] [120/523] learning_rate: 0.207895 loss_vfl: 0.833384 loss_bbox: 0.305781 loss_dfl: 0.197161 loss: 1.340984 eta: 2 days, 3:50:45 batch_cost: 2.3828 data_cost: 0.0014 ips: 23.5020 images/s [10/16 03:29:19] ppdet.engine INFO: Epoch: [146] [140/523] learning_rate: 0.207815 loss_vfl: 0.862494 loss_bbox: 0.293127 loss_dfl: 0.195133 loss: 1.342469 eta: 2 days, 3:49:59 batch_cost: 2.3400 data_cost: 0.0012 ips: 23.9317 images/s [10/16 03:30:10] ppdet.engine INFO: Epoch: [146] [160/523] learning_rate: 0.207735 loss_vfl: 0.825846 loss_bbox: 0.292626 loss_dfl: 0.193638 loss: 1.317089 eta: 2 days, 3:49:14 batch_cost: 2.4170 data_cost: 0.0015 ips: 23.1692 images/s [10/16 03:30:59] ppdet.engine INFO: Epoch: [146] [180/523] learning_rate: 0.207655 loss_vfl: 0.860057 loss_bbox: 0.282352 loss_dfl: 0.186082 loss: 1.336942 eta: 2 days, 3:48:29 batch_cost: 2.3620 data_cost: 0.0026 ips: 23.7091 images/s [10/16 03:31:49] ppdet.engine INFO: Epoch: [146] [200/523] learning_rate: 0.207575 loss_vfl: 0.844725 loss_bbox: 0.295948 loss_dfl: 0.197373 loss: 1.350197 eta: 2 days, 3:47:43 batch_cost: 2.3784 data_cost: 0.0013 ips: 23.5454 images/s [10/16 03:32:39] ppdet.engine INFO: Epoch: [146] [220/523] learning_rate: 0.207495 loss_vfl: 0.868493 loss_bbox: 0.297166 loss_dfl: 0.192996 loss: 1.366781 eta: 2 days, 3:46:59 batch_cost: 2.4018 data_cost: 0.0012 ips: 23.3163 images/s [10/16 03:33:28] ppdet.engine INFO: Epoch: [146] [240/523] learning_rate: 0.207415 loss_vfl: 0.849445 loss_bbox: 0.284716 loss_dfl: 0.187022 loss: 1.311626 eta: 2 days, 3:46:13 batch_cost: 2.3397 data_cost: 0.0013 ips: 23.9347 images/s [10/16 03:34:19] ppdet.engine INFO: Epoch: [146] [260/523] learning_rate: 0.207335 loss_vfl: 0.833017 loss_bbox: 0.288691 loss_dfl: 0.188637 loss: 1.313900 eta: 2 days, 3:45:29 batch_cost: 2.4332 data_cost: 0.0024 ips: 23.0149 images/s [10/16 03:35:11] ppdet.engine INFO: Epoch: [146] [280/523] learning_rate: 0.207255 loss_vfl: 0.845862 loss_bbox: 0.291896 loss_dfl: 0.192370 loss: 1.323582 eta: 2 days, 3:44:45 batch_cost: 2.4580 data_cost: 0.0051 ips: 22.7831 images/s [10/16 03:36:00] ppdet.engine INFO: Epoch: [146] [300/523] learning_rate: 0.207175 loss_vfl: 0.850117 loss_bbox: 0.315754 loss_dfl: 0.207832 loss: 1.368681 eta: 2 days, 3:43:59 batch_cost: 2.3488 data_cost: 0.0013 ips: 23.8417 images/s [10/16 03:36:50] ppdet.engine INFO: Epoch: [146] [320/523] learning_rate: 0.207095 loss_vfl: 0.883897 loss_bbox: 0.283293 loss_dfl: 0.185917 loss: 1.349293 eta: 2 days, 3:43:14 batch_cost: 2.4034 data_cost: 0.0014 ips: 23.2999 images/s [10/16 03:37:40] ppdet.engine INFO: Epoch: [146] [340/523] learning_rate: 0.207015 loss_vfl: 0.844398 loss_bbox: 0.289324 loss_dfl: 0.188888 loss: 1.336549 eta: 2 days, 3:42:30 batch_cost: 2.3990 data_cost: 0.0014 ips: 23.3433 images/s [10/16 03:38:29] ppdet.engine INFO: Epoch: [146] [360/523] learning_rate: 0.206935 loss_vfl: 0.849527 loss_bbox: 0.296325 loss_dfl: 0.193360 loss: 1.334319 eta: 2 days, 3:41:43 batch_cost: 2.3183 data_cost: 0.0013 ips: 24.1555 images/s [10/16 03:39:19] ppdet.engine INFO: Epoch: [146] [380/523] learning_rate: 0.206854 loss_vfl: 0.846560 loss_bbox: 0.293802 loss_dfl: 0.192206 loss: 1.329383 eta: 2 days, 3:40:58 batch_cost: 2.3927 data_cost: 0.0014 ips: 23.4043 images/s [10/16 03:40:07] ppdet.engine INFO: Epoch: [146] [400/523] learning_rate: 0.206774 loss_vfl: 0.852799 loss_bbox: 0.297955 loss_dfl: 0.191002 loss: 1.351591 eta: 2 days, 3:40:11 batch_cost: 2.3023 data_cost: 0.0012 ips: 24.3230 images/s [10/16 03:40:59] ppdet.engine INFO: Epoch: [146] [420/523] learning_rate: 0.206694 loss_vfl: 0.877008 loss_bbox: 0.275950 loss_dfl: 0.177418 loss: 1.320909 eta: 2 days, 3:39:28 batch_cost: 2.4552 data_cost: 0.0019 ips: 22.8086 images/s [10/16 03:41:49] ppdet.engine INFO: Epoch: [146] [440/523] learning_rate: 0.206614 loss_vfl: 0.857603 loss_bbox: 0.288191 loss_dfl: 0.189560 loss: 1.345824 eta: 2 days, 3:38:43 batch_cost: 2.4162 data_cost: 0.0012 ips: 23.1767 images/s [10/16 03:42:40] ppdet.engine INFO: Epoch: [146] [460/523] learning_rate: 0.206534 loss_vfl: 0.848654 loss_bbox: 0.297035 loss_dfl: 0.187995 loss: 1.317366 eta: 2 days, 3:37:59 batch_cost: 2.4301 data_cost: 0.0014 ips: 23.0440 images/s [10/16 03:43:30] ppdet.engine INFO: Epoch: [146] [480/523] learning_rate: 0.206454 loss_vfl: 0.855438 loss_bbox: 0.297186 loss_dfl: 0.194932 loss: 1.319085 eta: 2 days, 3:37:14 batch_cost: 2.3756 data_cost: 0.0014 ips: 23.5735 images/s [10/16 03:44:19] ppdet.engine INFO: Epoch: [146] [500/523] learning_rate: 0.206374 loss_vfl: 0.855674 loss_bbox: 0.295928 loss_dfl: 0.195454 loss: 1.355640 eta: 2 days, 3:36:28 batch_cost: 2.3519 data_cost: 0.0037 ips: 23.8106 images/s [10/16 03:45:02] ppdet.engine INFO: Epoch: [146] [520/523] learning_rate: 0.206294 loss_vfl: 0.853784 loss_bbox: 0.305272 loss_dfl: 0.191552 loss: 1.372694 eta: 2 days, 3:35:36 batch_cost: 2.0221 data_cost: 0.0019 ips: 27.6946 images/s [10/16 03:45:31] ppdet.engine INFO: Epoch: [147] [ 0/523] learning_rate: 0.206282 loss_vfl: 0.853648 loss_bbox: 0.305272 loss_dfl: 0.191329 loss: 1.360517 eta: 2 days, 3:35:48 batch_cost: 2.9627 data_cost: 0.7302 ips: 18.9015 images/s [10/16 03:46:26] ppdet.engine INFO: Epoch: [147] [ 20/523] learning_rate: 0.206202 loss_vfl: 0.850991 loss_bbox: 0.291017 loss_dfl: 0.191597 loss: 1.332352 eta: 2 days, 3:35:08 batch_cost: 2.6566 data_cost: 0.0015 ips: 21.0797 images/s [10/16 03:47:17] ppdet.engine INFO: Epoch: [147] [ 40/523] learning_rate: 0.206122 loss_vfl: 0.847930 loss_bbox: 0.289264 loss_dfl: 0.193474 loss: 1.324734 eta: 2 days, 3:34:24 batch_cost: 2.4233 data_cost: 0.0019 ips: 23.1088 images/s [10/16 03:48:06] ppdet.engine INFO: Epoch: [147] [ 60/523] learning_rate: 0.206042 loss_vfl: 0.845424 loss_bbox: 0.280919 loss_dfl: 0.183501 loss: 1.310144 eta: 2 days, 3:33:38 batch_cost: 2.3400 data_cost: 0.0013 ips: 23.9316 images/s [10/16 03:48:56] ppdet.engine INFO: Epoch: [147] [ 80/523] learning_rate: 0.205962 loss_vfl: 0.842204 loss_bbox: 0.294358 loss_dfl: 0.191733 loss: 1.319768 eta: 2 days, 3:32:53 batch_cost: 2.3799 data_cost: 0.0013 ips: 23.5303 images/s [10/16 03:49:47] ppdet.engine INFO: Epoch: [147] [100/523] learning_rate: 0.205882 loss_vfl: 0.844523 loss_bbox: 0.296925 loss_dfl: 0.191944 loss: 1.339999 eta: 2 days, 3:32:09 batch_cost: 2.4330 data_cost: 0.0013 ips: 23.0171 images/s [10/16 03:50:35] ppdet.engine INFO: Epoch: [147] [120/523] learning_rate: 0.205802 loss_vfl: 0.828895 loss_bbox: 0.314201 loss_dfl: 0.198613 loss: 1.338511 eta: 2 days, 3:31:22 batch_cost: 2.2932 data_cost: 0.0013 ips: 24.4204 images/s [10/16 03:51:24] ppdet.engine INFO: Epoch: [147] [140/523] learning_rate: 0.205722 loss_vfl: 0.839054 loss_bbox: 0.277431 loss_dfl: 0.184919 loss: 1.307994 eta: 2 days, 3:30:36 batch_cost: 2.3691 data_cost: 0.0012 ips: 23.6376 images/s [10/16 03:52:14] ppdet.engine INFO: Epoch: [147] [160/523] learning_rate: 0.205642 loss_vfl: 0.840560 loss_bbox: 0.291130 loss_dfl: 0.189302 loss: 1.339674 eta: 2 days, 3:29:51 batch_cost: 2.3863 data_cost: 0.0012 ips: 23.4672 images/s [10/16 03:53:03] ppdet.engine INFO: Epoch: [147] [180/523] learning_rate: 0.205562 loss_vfl: 0.849581 loss_bbox: 0.297308 loss_dfl: 0.182885 loss: 1.324476 eta: 2 days, 3:29:06 batch_cost: 2.3620 data_cost: 0.0012 ips: 23.7089 images/s [10/16 03:53:52] ppdet.engine INFO: Epoch: [147] [200/523] learning_rate: 0.205482 loss_vfl: 0.861360 loss_bbox: 0.290156 loss_dfl: 0.183329 loss: 1.335112 eta: 2 days, 3:28:20 batch_cost: 2.3466 data_cost: 0.0022 ips: 23.8639 images/s [10/16 03:54:42] ppdet.engine INFO: Epoch: [147] [220/523] learning_rate: 0.205402 loss_vfl: 0.862873 loss_bbox: 0.305178 loss_dfl: 0.199404 loss: 1.376178 eta: 2 days, 3:27:35 batch_cost: 2.3944 data_cost: 0.0012 ips: 23.3883 images/s [10/16 03:55:32] ppdet.engine INFO: Epoch: [147] [240/523] learning_rate: 0.205321 loss_vfl: 0.836594 loss_bbox: 0.314699 loss_dfl: 0.196557 loss: 1.344314 eta: 2 days, 3:26:50 batch_cost: 2.3926 data_cost: 0.0021 ips: 23.4051 images/s [10/16 03:56:22] ppdet.engine INFO: Epoch: [147] [260/523] learning_rate: 0.205241 loss_vfl: 0.857895 loss_bbox: 0.284683 loss_dfl: 0.188646 loss: 1.323888 eta: 2 days, 3:26:05 batch_cost: 2.3885 data_cost: 0.0012 ips: 23.4461 images/s [10/16 03:57:11] ppdet.engine INFO: Epoch: [147] [280/523] learning_rate: 0.205161 loss_vfl: 0.827172 loss_bbox: 0.293581 loss_dfl: 0.191203 loss: 1.345594 eta: 2 days, 3:25:19 batch_cost: 2.3498 data_cost: 0.0013 ips: 23.8321 images/s [10/16 03:58:01] ppdet.engine INFO: Epoch: [147] [300/523] learning_rate: 0.205081 loss_vfl: 0.848411 loss_bbox: 0.320184 loss_dfl: 0.202407 loss: 1.366047 eta: 2 days, 3:24:34 batch_cost: 2.3865 data_cost: 0.0019 ips: 23.4655 images/s [10/16 03:58:51] ppdet.engine INFO: Epoch: [147] [320/523] learning_rate: 0.205001 loss_vfl: 0.847822 loss_bbox: 0.292035 loss_dfl: 0.185453 loss: 1.323244 eta: 2 days, 3:23:49 batch_cost: 2.3986 data_cost: 0.0013 ips: 23.3470 images/s [10/16 03:59:42] ppdet.engine INFO: Epoch: [147] [340/523] learning_rate: 0.204921 loss_vfl: 0.851671 loss_bbox: 0.296591 loss_dfl: 0.186048 loss: 1.339944 eta: 2 days, 3:23:05 batch_cost: 2.4337 data_cost: 0.0012 ips: 23.0105 images/s [10/16 04:00:31] ppdet.engine INFO: Epoch: [147] [360/523] learning_rate: 0.204841 loss_vfl: 0.849283 loss_bbox: 0.288215 loss_dfl: 0.193357 loss: 1.349637 eta: 2 days, 3:22:19 batch_cost: 2.3451 data_cost: 0.0014 ips: 23.8799 images/s [10/16 04:01:22] ppdet.engine INFO: Epoch: [147] [380/523] learning_rate: 0.204761 loss_vfl: 0.860337 loss_bbox: 0.298422 loss_dfl: 0.190830 loss: 1.319563 eta: 2 days, 3:21:34 batch_cost: 2.4126 data_cost: 0.0013 ips: 23.2116 images/s [10/16 04:02:12] ppdet.engine INFO: Epoch: [147] [400/523] learning_rate: 0.204681 loss_vfl: 0.852307 loss_bbox: 0.291448 loss_dfl: 0.193400 loss: 1.337418 eta: 2 days, 3:20:50 batch_cost: 2.4054 data_cost: 0.0013 ips: 23.2812 images/s [10/16 04:02:59] ppdet.engine INFO: Epoch: [147] [420/523] learning_rate: 0.204601 loss_vfl: 0.843388 loss_bbox: 0.307497 loss_dfl: 0.189993 loss: 1.351432 eta: 2 days, 3:20:02 batch_cost: 2.2658 data_cost: 0.0013 ips: 24.7158 images/s [10/16 04:03:48] ppdet.engine INFO: Epoch: [147] [440/523] learning_rate: 0.204521 loss_vfl: 0.864547 loss_bbox: 0.292659 loss_dfl: 0.185414 loss: 1.311749 eta: 2 days, 3:19:16 batch_cost: 2.3285 data_cost: 0.0017 ips: 24.0497 images/s [10/16 04:04:37] ppdet.engine INFO: Epoch: [147] [460/523] learning_rate: 0.204441 loss_vfl: 0.850506 loss_bbox: 0.294989 loss_dfl: 0.190032 loss: 1.343865 eta: 2 days, 3:18:29 batch_cost: 2.3206 data_cost: 0.0020 ips: 24.1318 images/s [10/16 04:05:26] ppdet.engine INFO: Epoch: [147] [480/523] learning_rate: 0.204361 loss_vfl: 0.862579 loss_bbox: 0.273509 loss_dfl: 0.183359 loss: 1.324851 eta: 2 days, 3:17:44 batch_cost: 2.3674 data_cost: 0.0013 ips: 23.6547 images/s [10/16 04:06:17] ppdet.engine INFO: Epoch: [147] [500/523] learning_rate: 0.204281 loss_vfl: 0.849425 loss_bbox: 0.298518 loss_dfl: 0.192669 loss: 1.334430 eta: 2 days, 3:17:00 batch_cost: 2.4264 data_cost: 0.0013 ips: 23.0790 images/s [10/16 04:07:00] ppdet.engine INFO: Epoch: [147] [520/523] learning_rate: 0.204200 loss_vfl: 0.835576 loss_bbox: 0.303180 loss_dfl: 0.191580 loss: 1.337239 eta: 2 days, 3:16:08 batch_cost: 2.0615 data_cost: 0.0013 ips: 27.1652 images/s [10/16 04:07:33] ppdet.engine INFO: Epoch: [148] [ 0/523] learning_rate: 0.204188 loss_vfl: 0.835576 loss_bbox: 0.294757 loss_dfl: 0.192795 loss: 1.318119 eta: 2 days, 3:16:23 batch_cost: 3.1764 data_cost: 0.4638 ips: 17.6302 images/s [10/16 04:08:24] ppdet.engine INFO: Epoch: [148] [ 20/523] learning_rate: 0.204108 loss_vfl: 0.839039 loss_bbox: 0.306648 loss_dfl: 0.192181 loss: 1.345877 eta: 2 days, 3:15:40 batch_cost: 2.4652 data_cost: 0.0016 ips: 22.7162 images/s [10/16 04:09:15] ppdet.engine INFO: Epoch: [148] [ 40/523] learning_rate: 0.204028 loss_vfl: 0.845765 loss_bbox: 0.305346 loss_dfl: 0.194173 loss: 1.340338 eta: 2 days, 3:14:55 batch_cost: 2.4125 data_cost: 0.0013 ips: 23.2123 images/s [10/16 04:10:07] ppdet.engine INFO: Epoch: [148] [ 60/523] learning_rate: 0.203948 loss_vfl: 0.843600 loss_bbox: 0.282967 loss_dfl: 0.192082 loss: 1.328910 eta: 2 days, 3:14:12 batch_cost: 2.4752 data_cost: 0.0025 ips: 22.6243 images/s [10/16 04:10:58] ppdet.engine INFO: Epoch: [148] [ 80/523] learning_rate: 0.203868 loss_vfl: 0.845332 loss_bbox: 0.301511 loss_dfl: 0.193946 loss: 1.341233 eta: 2 days, 3:13:28 batch_cost: 2.4358 data_cost: 0.0018 ips: 22.9904 images/s [10/16 04:11:48] ppdet.engine INFO: Epoch: [148] [100/523] learning_rate: 0.203788 loss_vfl: 0.855917 loss_bbox: 0.291937 loss_dfl: 0.190899 loss: 1.326831 eta: 2 days, 3:12:43 batch_cost: 2.3688 data_cost: 0.0014 ips: 23.6403 images/s [10/16 04:12:35] ppdet.engine INFO: Epoch: [148] [120/523] learning_rate: 0.203708 loss_vfl: 0.843174 loss_bbox: 0.283774 loss_dfl: 0.193856 loss: 1.332026 eta: 2 days, 3:11:55 batch_cost: 2.2903 data_cost: 0.0013 ips: 24.4511 images/s [10/16 04:13:25] ppdet.engine INFO: Epoch: [148] [140/523] learning_rate: 0.203628 loss_vfl: 0.846094 loss_bbox: 0.284530 loss_dfl: 0.188963 loss: 1.330169 eta: 2 days, 3:11:10 batch_cost: 2.3611 data_cost: 0.0013 ips: 23.7176 images/s [10/16 04:14:15] ppdet.engine INFO: Epoch: [148] [160/523] learning_rate: 0.203548 loss_vfl: 0.845084 loss_bbox: 0.272559 loss_dfl: 0.176719 loss: 1.303552 eta: 2 days, 3:10:25 batch_cost: 2.3899 data_cost: 0.0024 ips: 23.4321 images/s [10/16 04:15:03] ppdet.engine INFO: Epoch: [148] [180/523] learning_rate: 0.203468 loss_vfl: 0.851112 loss_bbox: 0.296721 loss_dfl: 0.199561 loss: 1.356433 eta: 2 days, 3:09:38 batch_cost: 2.3235 data_cost: 0.0013 ips: 24.1018 images/s [10/16 04:15:52] ppdet.engine INFO: Epoch: [148] [200/523] learning_rate: 0.203388 loss_vfl: 0.847866 loss_bbox: 0.302962 loss_dfl: 0.194144 loss: 1.334740 eta: 2 days, 3:08:52 batch_cost: 2.3299 data_cost: 0.0013 ips: 24.0352 images/s [10/16 04:16:42] ppdet.engine INFO: Epoch: [148] [220/523] learning_rate: 0.203308 loss_vfl: 0.836597 loss_bbox: 0.297072 loss_dfl: 0.190387 loss: 1.325637 eta: 2 days, 3:08:07 batch_cost: 2.3854 data_cost: 0.0013 ips: 23.4757 images/s [10/16 04:17:31] ppdet.engine INFO: Epoch: [148] [240/523] learning_rate: 0.203228 loss_vfl: 0.844012 loss_bbox: 0.301135 loss_dfl: 0.192957 loss: 1.340904 eta: 2 days, 3:07:21 batch_cost: 2.3628 data_cost: 0.0012 ips: 23.7010 images/s [10/16 04:18:21] ppdet.engine INFO: Epoch: [148] [260/523] learning_rate: 0.203147 loss_vfl: 0.857790 loss_bbox: 0.292154 loss_dfl: 0.194073 loss: 1.347092 eta: 2 days, 3:06:36 batch_cost: 2.3780 data_cost: 0.0013 ips: 23.5495 images/s [10/16 04:19:11] ppdet.engine INFO: Epoch: [148] [280/523] learning_rate: 0.203067 loss_vfl: 0.834798 loss_bbox: 0.293389 loss_dfl: 0.191955 loss: 1.321022 eta: 2 days, 3:05:51 batch_cost: 2.3862 data_cost: 0.0012 ips: 23.4682 images/s [10/16 04:20:00] ppdet.engine INFO: Epoch: [148] [300/523] learning_rate: 0.202987 loss_vfl: 0.837536 loss_bbox: 0.301968 loss_dfl: 0.188464 loss: 1.331067 eta: 2 days, 3:05:05 batch_cost: 2.3325 data_cost: 0.0012 ips: 24.0089 images/s [10/16 04:20:48] ppdet.engine INFO: Epoch: [148] [320/523] learning_rate: 0.202907 loss_vfl: 0.859317 loss_bbox: 0.270623 loss_dfl: 0.182416 loss: 1.305392 eta: 2 days, 3:04:18 batch_cost: 2.3139 data_cost: 0.0048 ips: 24.2012 images/s [10/16 04:21:37] ppdet.engine INFO: Epoch: [148] [340/523] learning_rate: 0.202827 loss_vfl: 0.844184 loss_bbox: 0.302584 loss_dfl: 0.194476 loss: 1.356399 eta: 2 days, 3:03:32 batch_cost: 2.3518 data_cost: 0.0013 ips: 23.8112 images/s [10/16 04:22:27] ppdet.engine INFO: Epoch: [148] [360/523] learning_rate: 0.202747 loss_vfl: 0.863435 loss_bbox: 0.288630 loss_dfl: 0.191547 loss: 1.345247 eta: 2 days, 3:02:47 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6581 images/s [10/16 04:23:17] ppdet.engine INFO: Epoch: [148] [380/523] learning_rate: 0.202667 loss_vfl: 0.843026 loss_bbox: 0.267790 loss_dfl: 0.186604 loss: 1.300822 eta: 2 days, 3:02:01 batch_cost: 2.3793 data_cost: 0.0013 ips: 23.5361 images/s [10/16 04:24:06] ppdet.engine INFO: Epoch: [148] [400/523] learning_rate: 0.202587 loss_vfl: 0.860248 loss_bbox: 0.291618 loss_dfl: 0.189658 loss: 1.344962 eta: 2 days, 3:01:16 batch_cost: 2.3700 data_cost: 0.0021 ips: 23.6292 images/s [10/16 04:24:55] ppdet.engine INFO: Epoch: [148] [420/523] learning_rate: 0.202507 loss_vfl: 0.857111 loss_bbox: 0.288275 loss_dfl: 0.185652 loss: 1.350300 eta: 2 days, 3:00:30 batch_cost: 2.3373 data_cost: 0.0012 ips: 23.9597 images/s [10/16 04:25:44] ppdet.engine INFO: Epoch: [148] [440/523] learning_rate: 0.202427 loss_vfl: 0.852710 loss_bbox: 0.303224 loss_dfl: 0.191893 loss: 1.346805 eta: 2 days, 2:59:43 batch_cost: 2.3160 data_cost: 0.0056 ips: 24.1793 images/s [10/16 04:26:33] ppdet.engine INFO: Epoch: [148] [460/523] learning_rate: 0.202347 loss_vfl: 0.867621 loss_bbox: 0.283734 loss_dfl: 0.189096 loss: 1.343336 eta: 2 days, 2:58:57 batch_cost: 2.3455 data_cost: 0.0014 ips: 23.8758 images/s [10/16 04:27:22] ppdet.engine INFO: Epoch: [148] [480/523] learning_rate: 0.202267 loss_vfl: 0.836088 loss_bbox: 0.305506 loss_dfl: 0.196760 loss: 1.358701 eta: 2 days, 2:58:12 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7094 images/s [10/16 04:28:11] ppdet.engine INFO: Epoch: [148] [500/523] learning_rate: 0.202186 loss_vfl: 0.857084 loss_bbox: 0.286336 loss_dfl: 0.189321 loss: 1.335988 eta: 2 days, 2:57:25 batch_cost: 2.3336 data_cost: 0.0015 ips: 23.9974 images/s [10/16 04:28:53] ppdet.engine INFO: Epoch: [148] [520/523] learning_rate: 0.202106 loss_vfl: 0.860709 loss_bbox: 0.281751 loss_dfl: 0.189218 loss: 1.341793 eta: 2 days, 2:56:33 batch_cost: 2.0270 data_cost: 0.0012 ips: 27.6271 images/s [10/16 04:29:22] ppdet.engine INFO: Epoch: [149] [ 0/523] learning_rate: 0.202094 loss_vfl: 0.860822 loss_bbox: 0.289888 loss_dfl: 0.193719 loss: 1.349108 eta: 2 days, 2:56:44 batch_cost: 2.9285 data_cost: 0.4274 ips: 19.1222 images/s [10/16 04:30:15] ppdet.engine INFO: Epoch: [149] [ 20/523] learning_rate: 0.202014 loss_vfl: 0.819690 loss_bbox: 0.302468 loss_dfl: 0.194874 loss: 1.318366 eta: 2 days, 2:56:03 batch_cost: 2.5759 data_cost: 0.0032 ips: 21.7402 images/s [10/16 04:31:04] ppdet.engine INFO: Epoch: [149] [ 40/523] learning_rate: 0.201934 loss_vfl: 0.822703 loss_bbox: 0.272743 loss_dfl: 0.179156 loss: 1.262875 eta: 2 days, 2:55:17 batch_cost: 2.3374 data_cost: 0.0012 ips: 23.9585 images/s [10/16 04:31:54] ppdet.engine INFO: Epoch: [149] [ 60/523] learning_rate: 0.201854 loss_vfl: 0.852250 loss_bbox: 0.304454 loss_dfl: 0.196746 loss: 1.348976 eta: 2 days, 2:54:31 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6275 images/s [10/16 04:32:43] ppdet.engine INFO: Epoch: [149] [ 80/523] learning_rate: 0.201774 loss_vfl: 0.845336 loss_bbox: 0.264889 loss_dfl: 0.177807 loss: 1.300890 eta: 2 days, 2:53:46 batch_cost: 2.3801 data_cost: 0.0019 ips: 23.5286 images/s [10/16 04:33:33] ppdet.engine INFO: Epoch: [149] [100/523] learning_rate: 0.201694 loss_vfl: 0.846583 loss_bbox: 0.285221 loss_dfl: 0.188597 loss: 1.326135 eta: 2 days, 2:53:01 batch_cost: 2.3928 data_cost: 0.0026 ips: 23.4036 images/s [10/16 04:34:22] ppdet.engine INFO: Epoch: [149] [120/523] learning_rate: 0.201614 loss_vfl: 0.864557 loss_bbox: 0.279485 loss_dfl: 0.185401 loss: 1.320985 eta: 2 days, 2:52:15 batch_cost: 2.3529 data_cost: 0.0013 ips: 23.8003 images/s [10/16 04:35:11] ppdet.engine INFO: Epoch: [149] [140/523] learning_rate: 0.201534 loss_vfl: 0.831639 loss_bbox: 0.286051 loss_dfl: 0.193475 loss: 1.332929 eta: 2 days, 2:51:28 batch_cost: 2.3126 data_cost: 0.0019 ips: 24.2147 images/s [10/16 04:36:00] ppdet.engine INFO: Epoch: [149] [160/523] learning_rate: 0.201454 loss_vfl: 0.853625 loss_bbox: 0.284964 loss_dfl: 0.189508 loss: 1.345893 eta: 2 days, 2:50:43 batch_cost: 2.3543 data_cost: 0.0019 ips: 23.7860 images/s [10/16 04:36:49] ppdet.engine INFO: Epoch: [149] [180/523] learning_rate: 0.201374 loss_vfl: 0.862393 loss_bbox: 0.264772 loss_dfl: 0.182279 loss: 1.312334 eta: 2 days, 2:49:56 batch_cost: 2.3266 data_cost: 0.0013 ips: 24.0699 images/s [10/16 04:37:38] ppdet.engine INFO: Epoch: [149] [200/523] learning_rate: 0.201293 loss_vfl: 0.853017 loss_bbox: 0.281704 loss_dfl: 0.190014 loss: 1.328236 eta: 2 days, 2:49:11 batch_cost: 2.3700 data_cost: 0.0013 ips: 23.6286 images/s [10/16 04:38:29] ppdet.engine INFO: Epoch: [149] [220/523] learning_rate: 0.201213 loss_vfl: 0.857968 loss_bbox: 0.284258 loss_dfl: 0.187268 loss: 1.339449 eta: 2 days, 2:48:27 batch_cost: 2.4455 data_cost: 0.0013 ips: 22.8993 images/s [10/16 04:39:19] ppdet.engine INFO: Epoch: [149] [240/523] learning_rate: 0.201133 loss_vfl: 0.830174 loss_bbox: 0.298328 loss_dfl: 0.195638 loss: 1.345263 eta: 2 days, 2:47:42 batch_cost: 2.3847 data_cost: 0.0012 ips: 23.4828 images/s [10/16 04:40:08] ppdet.engine INFO: Epoch: [149] [260/523] learning_rate: 0.201053 loss_vfl: 0.861882 loss_bbox: 0.290630 loss_dfl: 0.191019 loss: 1.340997 eta: 2 days, 2:46:55 batch_cost: 2.3365 data_cost: 0.0015 ips: 23.9679 images/s [10/16 04:40:58] ppdet.engine INFO: Epoch: [149] [280/523] learning_rate: 0.200973 loss_vfl: 0.847429 loss_bbox: 0.288843 loss_dfl: 0.191443 loss: 1.337931 eta: 2 days, 2:46:10 batch_cost: 2.3942 data_cost: 0.0015 ips: 23.3900 images/s [10/16 04:41:46] ppdet.engine INFO: Epoch: [149] [300/523] learning_rate: 0.200893 loss_vfl: 0.843098 loss_bbox: 0.303813 loss_dfl: 0.198899 loss: 1.361036 eta: 2 days, 2:45:24 batch_cost: 2.3213 data_cost: 0.0013 ips: 24.1248 images/s [10/16 04:42:37] ppdet.engine INFO: Epoch: [149] [320/523] learning_rate: 0.200813 loss_vfl: 0.843540 loss_bbox: 0.300343 loss_dfl: 0.193486 loss: 1.336540 eta: 2 days, 2:44:39 batch_cost: 2.3952 data_cost: 0.0013 ips: 23.3801 images/s [10/16 04:43:26] ppdet.engine INFO: Epoch: [149] [340/523] learning_rate: 0.200733 loss_vfl: 0.852260 loss_bbox: 0.258043 loss_dfl: 0.178667 loss: 1.307125 eta: 2 days, 2:43:53 batch_cost: 2.3237 data_cost: 0.0012 ips: 24.0993 images/s [10/16 04:44:13] ppdet.engine INFO: Epoch: [149] [360/523] learning_rate: 0.200653 loss_vfl: 0.867192 loss_bbox: 0.290535 loss_dfl: 0.192362 loss: 1.359456 eta: 2 days, 2:43:05 batch_cost: 2.2838 data_cost: 0.0018 ips: 24.5209 images/s [10/16 04:45:02] ppdet.engine INFO: Epoch: [149] [380/523] learning_rate: 0.200573 loss_vfl: 0.841439 loss_bbox: 0.310191 loss_dfl: 0.198478 loss: 1.371971 eta: 2 days, 2:42:19 batch_cost: 2.3244 data_cost: 0.0012 ips: 24.0925 images/s [10/16 04:45:52] ppdet.engine INFO: Epoch: [149] [400/523] learning_rate: 0.200493 loss_vfl: 0.859803 loss_bbox: 0.308563 loss_dfl: 0.196727 loss: 1.365639 eta: 2 days, 2:41:33 batch_cost: 2.3603 data_cost: 0.0019 ips: 23.7253 images/s [10/16 04:46:43] ppdet.engine INFO: Epoch: [149] [420/523] learning_rate: 0.200412 loss_vfl: 0.855475 loss_bbox: 0.294912 loss_dfl: 0.191513 loss: 1.329851 eta: 2 days, 2:40:50 batch_cost: 2.4615 data_cost: 0.0018 ips: 22.7501 images/s [10/16 04:47:33] ppdet.engine INFO: Epoch: [149] [440/523] learning_rate: 0.200332 loss_vfl: 0.861433 loss_bbox: 0.270250 loss_dfl: 0.180484 loss: 1.312796 eta: 2 days, 2:40:05 batch_cost: 2.4006 data_cost: 0.0019 ips: 23.3273 images/s [10/16 04:48:23] ppdet.engine INFO: Epoch: [149] [460/523] learning_rate: 0.200252 loss_vfl: 0.839300 loss_bbox: 0.291851 loss_dfl: 0.184728 loss: 1.313180 eta: 2 days, 2:39:19 batch_cost: 2.3520 data_cost: 0.0019 ips: 23.8099 images/s [10/16 04:49:12] ppdet.engine INFO: Epoch: [149] [480/523] learning_rate: 0.200172 loss_vfl: 0.847799 loss_bbox: 0.291005 loss_dfl: 0.190973 loss: 1.325635 eta: 2 days, 2:38:33 batch_cost: 2.3595 data_cost: 0.0019 ips: 23.7334 images/s [10/16 04:50:00] ppdet.engine INFO: Epoch: [149] [500/523] learning_rate: 0.200092 loss_vfl: 0.862488 loss_bbox: 0.282455 loss_dfl: 0.186847 loss: 1.326670 eta: 2 days, 2:37:46 batch_cost: 2.3104 data_cost: 0.0012 ips: 24.2377 images/s [10/16 04:50:43] ppdet.engine INFO: Epoch: [149] [520/523] learning_rate: 0.200012 loss_vfl: 0.848312 loss_bbox: 0.284596 loss_dfl: 0.189657 loss: 1.340476 eta: 2 days, 2:36:55 batch_cost: 2.0566 data_cost: 0.0012 ips: 27.2291 images/s [10/16 04:50:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 04:50:52] ppdet.engine INFO: Eval iter: 0 [10/16 04:51:32] ppdet.engine INFO: Eval iter: 100 [10/16 04:51:53] ppdet.engine INFO: Eval iter: 200 [10/16 04:52:13] ppdet.engine INFO: Eval iter: 300 [10/16 04:52:33] ppdet.engine INFO: Eval iter: 400 [10/16 04:52:54] ppdet.engine INFO: Eval iter: 500 [10/16 04:53:15] ppdet.engine INFO: Eval iter: 600 [10/16 04:53:36] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.28s) creating index... index created! [10/16 04:53:38] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.51s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.41s). Accumulating evaluation results... DONE (t=18.54s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.348 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.504 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.369 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.378 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 ] = 0.299 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.476 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.234 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.573 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.740 [10/16 04:55:45] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.19663721005529 [10/16 04:55:45] ppdet.engine INFO: Best test bbox ap is 0.348. [10/16 04:55:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 04:55:48] ppdet.engine INFO: Epoch: [150] [ 0/523] learning_rate: 0.200000 loss_vfl: 0.846800 loss_bbox: 0.284596 loss_dfl: 0.187300 loss: 1.327139 eta: 2 days, 2:36:46 batch_cost: 2.0136 data_cost: 0.0013 ips: 27.8111 images/s [10/16 04:56:38] ppdet.engine INFO: Epoch: [150] [ 20/523] learning_rate: 0.199920 loss_vfl: 0.837506 loss_bbox: 0.310368 loss_dfl: 0.198312 loss: 1.330833 eta: 2 days, 2:36:02 batch_cost: 2.4411 data_cost: 0.0017 ips: 22.9402 images/s [10/16 04:57:30] ppdet.engine INFO: Epoch: [150] [ 40/523] learning_rate: 0.199840 loss_vfl: 0.822472 loss_bbox: 0.313755 loss_dfl: 0.196523 loss: 1.328554 eta: 2 days, 2:35:19 batch_cost: 2.4803 data_cost: 0.0014 ips: 22.5783 images/s [10/16 04:58:19] ppdet.engine INFO: Epoch: [150] [ 60/523] learning_rate: 0.199760 loss_vfl: 0.824606 loss_bbox: 0.287556 loss_dfl: 0.191869 loss: 1.303779 eta: 2 days, 2:34:33 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1315 images/s [10/16 04:59:07] ppdet.engine INFO: Epoch: [150] [ 80/523] learning_rate: 0.199680 loss_vfl: 0.854634 loss_bbox: 0.288549 loss_dfl: 0.191335 loss: 1.323067 eta: 2 days, 2:33:46 batch_cost: 2.3176 data_cost: 0.0013 ips: 24.1627 images/s [10/16 04:59:57] ppdet.engine INFO: Epoch: [150] [100/523] learning_rate: 0.199600 loss_vfl: 0.864421 loss_bbox: 0.295639 loss_dfl: 0.190996 loss: 1.345018 eta: 2 days, 2:33:01 batch_cost: 2.3807 data_cost: 0.0014 ips: 23.5220 images/s [10/16 05:00:45] ppdet.engine INFO: Epoch: [150] [120/523] learning_rate: 0.199519 loss_vfl: 0.815215 loss_bbox: 0.286091 loss_dfl: 0.189931 loss: 1.300846 eta: 2 days, 2:32:13 batch_cost: 2.2769 data_cost: 0.0013 ips: 24.5948 images/s [10/16 05:01:33] ppdet.engine INFO: Epoch: [150] [140/523] learning_rate: 0.199439 loss_vfl: 0.842927 loss_bbox: 0.294955 loss_dfl: 0.191290 loss: 1.329598 eta: 2 days, 2:31:27 batch_cost: 2.3242 data_cost: 0.0013 ips: 24.0941 images/s [10/16 05:02:22] ppdet.engine INFO: Epoch: [150] [160/523] learning_rate: 0.199359 loss_vfl: 0.841845 loss_bbox: 0.293976 loss_dfl: 0.193765 loss: 1.322690 eta: 2 days, 2:30:40 batch_cost: 2.3138 data_cost: 0.0012 ips: 24.2030 images/s [10/16 05:03:12] ppdet.engine INFO: Epoch: [150] [180/523] learning_rate: 0.199279 loss_vfl: 0.847337 loss_bbox: 0.285057 loss_dfl: 0.190506 loss: 1.320488 eta: 2 days, 2:29:55 batch_cost: 2.4045 data_cost: 0.0013 ips: 23.2894 images/s [10/16 05:04:03] ppdet.engine INFO: Epoch: [150] [200/523] learning_rate: 0.199199 loss_vfl: 0.842486 loss_bbox: 0.307343 loss_dfl: 0.194783 loss: 1.346232 eta: 2 days, 2:29:11 batch_cost: 2.4254 data_cost: 0.0013 ips: 23.0890 images/s [10/16 05:04:53] ppdet.engine INFO: Epoch: [150] [220/523] learning_rate: 0.199119 loss_vfl: 0.854099 loss_bbox: 0.296374 loss_dfl: 0.194470 loss: 1.351790 eta: 2 days, 2:28:26 batch_cost: 2.3846 data_cost: 0.0016 ips: 23.4842 images/s [10/16 05:05:43] ppdet.engine INFO: Epoch: [150] [240/523] learning_rate: 0.199039 loss_vfl: 0.845276 loss_bbox: 0.284314 loss_dfl: 0.188580 loss: 1.329972 eta: 2 days, 2:27:41 batch_cost: 2.4033 data_cost: 0.0013 ips: 23.3010 images/s [10/16 05:06:31] ppdet.engine INFO: Epoch: [150] [260/523] learning_rate: 0.198959 loss_vfl: 0.846002 loss_bbox: 0.290289 loss_dfl: 0.187706 loss: 1.341588 eta: 2 days, 2:26:54 batch_cost: 2.2897 data_cost: 0.0012 ips: 24.4574 images/s [10/16 05:07:20] ppdet.engine INFO: Epoch: [150] [280/523] learning_rate: 0.198879 loss_vfl: 0.845140 loss_bbox: 0.297791 loss_dfl: 0.195580 loss: 1.343255 eta: 2 days, 2:26:08 batch_cost: 2.3345 data_cost: 0.0021 ips: 23.9882 images/s [10/16 05:08:11] ppdet.engine INFO: Epoch: [150] [300/523] learning_rate: 0.198799 loss_vfl: 0.849691 loss_bbox: 0.300536 loss_dfl: 0.190567 loss: 1.342989 eta: 2 days, 2:25:23 batch_cost: 2.4024 data_cost: 0.0013 ips: 23.3096 images/s [10/16 05:09:01] ppdet.engine INFO: Epoch: [150] [320/523] learning_rate: 0.198719 loss_vfl: 0.848041 loss_bbox: 0.285315 loss_dfl: 0.190332 loss: 1.321953 eta: 2 days, 2:24:38 batch_cost: 2.3856 data_cost: 0.0013 ips: 23.4742 images/s [10/16 05:09:51] ppdet.engine INFO: Epoch: [150] [340/523] learning_rate: 0.198638 loss_vfl: 0.859997 loss_bbox: 0.275373 loss_dfl: 0.189837 loss: 1.335492 eta: 2 days, 2:23:52 batch_cost: 2.3895 data_cost: 0.0013 ips: 23.4359 images/s [10/16 05:10:40] ppdet.engine INFO: Epoch: [150] [360/523] learning_rate: 0.198558 loss_vfl: 0.824741 loss_bbox: 0.303065 loss_dfl: 0.197378 loss: 1.330532 eta: 2 days, 2:23:06 batch_cost: 2.3312 data_cost: 0.0013 ips: 24.0224 images/s [10/16 05:11:28] ppdet.engine INFO: Epoch: [150] [380/523] learning_rate: 0.198478 loss_vfl: 0.849206 loss_bbox: 0.299537 loss_dfl: 0.192460 loss: 1.338546 eta: 2 days, 2:22:20 batch_cost: 2.3294 data_cost: 0.0014 ips: 24.0410 images/s [10/16 05:12:18] ppdet.engine INFO: Epoch: [150] [400/523] learning_rate: 0.198398 loss_vfl: 0.867615 loss_bbox: 0.291061 loss_dfl: 0.194191 loss: 1.344860 eta: 2 days, 2:21:34 batch_cost: 2.3769 data_cost: 0.0013 ips: 23.5606 images/s [10/16 05:13:07] ppdet.engine INFO: Epoch: [150] [420/523] learning_rate: 0.198318 loss_vfl: 0.868573 loss_bbox: 0.280112 loss_dfl: 0.184071 loss: 1.338170 eta: 2 days, 2:20:48 batch_cost: 2.3267 data_cost: 0.0013 ips: 24.0683 images/s [10/16 05:13:57] ppdet.engine INFO: Epoch: [150] [440/523] learning_rate: 0.198238 loss_vfl: 0.835764 loss_bbox: 0.289654 loss_dfl: 0.195791 loss: 1.335673 eta: 2 days, 2:20:03 batch_cost: 2.3834 data_cost: 0.0013 ips: 23.4962 images/s [10/16 05:14:47] ppdet.engine INFO: Epoch: [150] [460/523] learning_rate: 0.198158 loss_vfl: 0.848152 loss_bbox: 0.288147 loss_dfl: 0.191701 loss: 1.341599 eta: 2 days, 2:19:17 batch_cost: 2.3764 data_cost: 0.0013 ips: 23.5649 images/s [10/16 05:15:36] ppdet.engine INFO: Epoch: [150] [480/523] learning_rate: 0.198078 loss_vfl: 0.837176 loss_bbox: 0.286301 loss_dfl: 0.183107 loss: 1.315189 eta: 2 days, 2:18:31 batch_cost: 2.3335 data_cost: 0.0015 ips: 23.9983 images/s [10/16 05:16:25] ppdet.engine INFO: Epoch: [150] [500/523] learning_rate: 0.197998 loss_vfl: 0.845955 loss_bbox: 0.302918 loss_dfl: 0.185121 loss: 1.348600 eta: 2 days, 2:17:45 batch_cost: 2.3535 data_cost: 0.0012 ips: 23.7940 images/s [10/16 05:17:08] ppdet.engine INFO: Epoch: [150] [520/523] learning_rate: 0.197918 loss_vfl: 0.848597 loss_bbox: 0.288516 loss_dfl: 0.192203 loss: 1.343297 eta: 2 days, 2:16:54 batch_cost: 2.0616 data_cost: 0.0012 ips: 27.1630 images/s [10/16 05:17:41] ppdet.engine INFO: Epoch: [151] [ 0/523] learning_rate: 0.197906 loss_vfl: 0.860691 loss_bbox: 0.283612 loss_dfl: 0.188319 loss: 1.336673 eta: 2 days, 2:17:08 batch_cost: 3.1369 data_cost: 0.7998 ips: 17.8518 images/s [10/16 05:18:34] ppdet.engine INFO: Epoch: [151] [ 20/523] learning_rate: 0.197826 loss_vfl: 0.832839 loss_bbox: 0.300987 loss_dfl: 0.197300 loss: 1.327202 eta: 2 days, 2:16:26 batch_cost: 2.5575 data_cost: 0.0014 ips: 21.8968 images/s [10/16 05:19:26] ppdet.engine INFO: Epoch: [151] [ 40/523] learning_rate: 0.197745 loss_vfl: 0.849391 loss_bbox: 0.271615 loss_dfl: 0.178434 loss: 1.279541 eta: 2 days, 2:15:42 batch_cost: 2.4691 data_cost: 0.0013 ips: 22.6799 images/s [10/16 05:20:16] ppdet.engine INFO: Epoch: [151] [ 60/523] learning_rate: 0.197665 loss_vfl: 0.836559 loss_bbox: 0.292889 loss_dfl: 0.188839 loss: 1.299682 eta: 2 days, 2:14:58 batch_cost: 2.4177 data_cost: 0.0014 ips: 23.1627 images/s [10/16 05:21:06] ppdet.engine INFO: Epoch: [151] [ 80/523] learning_rate: 0.197585 loss_vfl: 0.833411 loss_bbox: 0.278606 loss_dfl: 0.185270 loss: 1.308677 eta: 2 days, 2:14:13 batch_cost: 2.3898 data_cost: 0.0014 ips: 23.4327 images/s [10/16 05:21:58] ppdet.engine INFO: Epoch: [151] [100/523] learning_rate: 0.197505 loss_vfl: 0.842135 loss_bbox: 0.281210 loss_dfl: 0.188427 loss: 1.313644 eta: 2 days, 2:13:29 batch_cost: 2.4566 data_cost: 0.0027 ips: 22.7962 images/s [10/16 05:22:50] ppdet.engine INFO: Epoch: [151] [120/523] learning_rate: 0.197425 loss_vfl: 0.841060 loss_bbox: 0.289479 loss_dfl: 0.186733 loss: 1.313918 eta: 2 days, 2:12:45 batch_cost: 2.4736 data_cost: 0.0014 ips: 22.6388 images/s [10/16 05:23:40] ppdet.engine INFO: Epoch: [151] [140/523] learning_rate: 0.197345 loss_vfl: 0.840821 loss_bbox: 0.269107 loss_dfl: 0.173410 loss: 1.296693 eta: 2 days, 2:12:01 batch_cost: 2.4368 data_cost: 0.0013 ips: 22.9806 images/s [10/16 05:24:31] ppdet.engine INFO: Epoch: [151] [160/523] learning_rate: 0.197265 loss_vfl: 0.846673 loss_bbox: 0.298629 loss_dfl: 0.193416 loss: 1.343841 eta: 2 days, 2:11:16 batch_cost: 2.4119 data_cost: 0.0013 ips: 23.2185 images/s [10/16 05:25:21] ppdet.engine INFO: Epoch: [151] [180/523] learning_rate: 0.197185 loss_vfl: 0.852219 loss_bbox: 0.281074 loss_dfl: 0.193199 loss: 1.333301 eta: 2 days, 2:10:31 batch_cost: 2.4100 data_cost: 0.0014 ips: 23.2363 images/s [10/16 05:26:12] ppdet.engine INFO: Epoch: [151] [200/523] learning_rate: 0.197105 loss_vfl: 0.866818 loss_bbox: 0.296728 loss_dfl: 0.197745 loss: 1.338210 eta: 2 days, 2:09:47 batch_cost: 2.4393 data_cost: 0.0013 ips: 22.9572 images/s [10/16 05:27:02] ppdet.engine INFO: Epoch: [151] [220/523] learning_rate: 0.197025 loss_vfl: 0.851644 loss_bbox: 0.279646 loss_dfl: 0.181308 loss: 1.340267 eta: 2 days, 2:09:02 batch_cost: 2.3727 data_cost: 0.0014 ips: 23.6020 images/s [10/16 05:27:52] ppdet.engine INFO: Epoch: [151] [240/523] learning_rate: 0.196945 loss_vfl: 0.849808 loss_bbox: 0.265936 loss_dfl: 0.181926 loss: 1.311869 eta: 2 days, 2:08:16 batch_cost: 2.3682 data_cost: 0.0014 ips: 23.6465 images/s [10/16 05:28:41] ppdet.engine INFO: Epoch: [151] [260/523] learning_rate: 0.196865 loss_vfl: 0.869475 loss_bbox: 0.282931 loss_dfl: 0.189978 loss: 1.343648 eta: 2 days, 2:07:30 batch_cost: 2.3565 data_cost: 0.0034 ips: 23.7643 images/s [10/16 05:29:30] ppdet.engine INFO: Epoch: [151] [280/523] learning_rate: 0.196784 loss_vfl: 0.859112 loss_bbox: 0.281858 loss_dfl: 0.187825 loss: 1.339258 eta: 2 days, 2:06:44 batch_cost: 2.3276 data_cost: 0.0014 ips: 24.0596 images/s [10/16 05:30:20] ppdet.engine INFO: Epoch: [151] [300/523] learning_rate: 0.196704 loss_vfl: 0.854951 loss_bbox: 0.304935 loss_dfl: 0.194425 loss: 1.324592 eta: 2 days, 2:05:59 batch_cost: 2.3944 data_cost: 0.0031 ips: 23.3875 images/s [10/16 05:31:10] ppdet.engine INFO: Epoch: [151] [320/523] learning_rate: 0.196624 loss_vfl: 0.853438 loss_bbox: 0.283850 loss_dfl: 0.188631 loss: 1.318648 eta: 2 days, 2:05:14 batch_cost: 2.4184 data_cost: 0.0025 ips: 23.1561 images/s [10/16 05:31:58] ppdet.engine INFO: Epoch: [151] [340/523] learning_rate: 0.196544 loss_vfl: 0.832347 loss_bbox: 0.283067 loss_dfl: 0.187557 loss: 1.320103 eta: 2 days, 2:04:27 batch_cost: 2.2880 data_cost: 0.0019 ips: 24.4751 images/s [10/16 05:32:49] ppdet.engine INFO: Epoch: [151] [360/523] learning_rate: 0.196464 loss_vfl: 0.866930 loss_bbox: 0.286950 loss_dfl: 0.186989 loss: 1.331391 eta: 2 days, 2:03:43 batch_cost: 2.4214 data_cost: 0.0015 ips: 23.1271 images/s [10/16 05:33:39] ppdet.engine INFO: Epoch: [151] [380/523] learning_rate: 0.196384 loss_vfl: 0.835654 loss_bbox: 0.276265 loss_dfl: 0.185396 loss: 1.308550 eta: 2 days, 2:02:57 batch_cost: 2.3776 data_cost: 0.0013 ips: 23.5531 images/s [10/16 05:34:30] ppdet.engine INFO: Epoch: [151] [400/523] learning_rate: 0.196304 loss_vfl: 0.840907 loss_bbox: 0.292479 loss_dfl: 0.193505 loss: 1.347144 eta: 2 days, 2:02:13 batch_cost: 2.4555 data_cost: 0.0013 ips: 22.8056 images/s [10/16 05:35:21] ppdet.engine INFO: Epoch: [151] [420/523] learning_rate: 0.196224 loss_vfl: 0.846103 loss_bbox: 0.294229 loss_dfl: 0.189685 loss: 1.332406 eta: 2 days, 2:01:29 batch_cost: 2.4366 data_cost: 0.0013 ips: 22.9828 images/s [10/16 05:36:10] ppdet.engine INFO: Epoch: [151] [440/523] learning_rate: 0.196144 loss_vfl: 0.832023 loss_bbox: 0.281319 loss_dfl: 0.191294 loss: 1.295898 eta: 2 days, 2:00:43 batch_cost: 2.3290 data_cost: 0.0021 ips: 24.0451 images/s [10/16 05:37:00] ppdet.engine INFO: Epoch: [151] [460/523] learning_rate: 0.196064 loss_vfl: 0.835440 loss_bbox: 0.300113 loss_dfl: 0.191578 loss: 1.320771 eta: 2 days, 1:59:57 batch_cost: 2.3804 data_cost: 0.0015 ips: 23.5256 images/s [10/16 05:37:50] ppdet.engine INFO: Epoch: [151] [480/523] learning_rate: 0.195984 loss_vfl: 0.847974 loss_bbox: 0.310036 loss_dfl: 0.199314 loss: 1.356093 eta: 2 days, 1:59:12 batch_cost: 2.3948 data_cost: 0.0039 ips: 23.3838 images/s [10/16 05:38:39] ppdet.engine INFO: Epoch: [151] [500/523] learning_rate: 0.195904 loss_vfl: 0.853756 loss_bbox: 0.308618 loss_dfl: 0.193078 loss: 1.330911 eta: 2 days, 1:58:27 batch_cost: 2.3661 data_cost: 0.0015 ips: 23.6673 images/s [10/16 05:39:22] ppdet.engine INFO: Epoch: [151] [520/523] learning_rate: 0.195824 loss_vfl: 0.842128 loss_bbox: 0.297015 loss_dfl: 0.195237 loss: 1.330373 eta: 2 days, 1:57:34 batch_cost: 2.0357 data_cost: 0.0013 ips: 27.5093 images/s [10/16 05:39:49] ppdet.engine INFO: Epoch: [152] [ 0/523] learning_rate: 0.195812 loss_vfl: 0.831541 loss_bbox: 0.291661 loss_dfl: 0.191687 loss: 1.326304 eta: 2 days, 1:57:43 batch_cost: 2.8276 data_cost: 0.4739 ips: 19.8047 images/s [10/16 05:40:46] ppdet.engine INFO: Epoch: [152] [ 20/523] learning_rate: 0.195731 loss_vfl: 0.839187 loss_bbox: 0.285748 loss_dfl: 0.190978 loss: 1.336120 eta: 2 days, 1:57:04 batch_cost: 2.7288 data_cost: 0.0023 ips: 20.5217 images/s [10/16 05:41:36] ppdet.engine INFO: Epoch: [152] [ 40/523] learning_rate: 0.195651 loss_vfl: 0.825504 loss_bbox: 0.289628 loss_dfl: 0.190617 loss: 1.318570 eta: 2 days, 1:56:20 batch_cost: 2.4230 data_cost: 0.0013 ips: 23.1120 images/s [10/16 05:42:25] ppdet.engine INFO: Epoch: [152] [ 60/523] learning_rate: 0.195571 loss_vfl: 0.848927 loss_bbox: 0.275321 loss_dfl: 0.185584 loss: 1.323494 eta: 2 days, 1:55:33 batch_cost: 2.3379 data_cost: 0.0013 ips: 23.9530 images/s [10/16 05:43:13] ppdet.engine INFO: Epoch: [152] [ 80/523] learning_rate: 0.195491 loss_vfl: 0.828894 loss_bbox: 0.283770 loss_dfl: 0.188796 loss: 1.289606 eta: 2 days, 1:54:46 batch_cost: 2.2765 data_cost: 0.0023 ips: 24.5994 images/s [10/16 05:44:02] ppdet.engine INFO: Epoch: [152] [100/523] learning_rate: 0.195411 loss_vfl: 0.854480 loss_bbox: 0.303408 loss_dfl: 0.193498 loss: 1.342740 eta: 2 days, 1:54:00 batch_cost: 2.3395 data_cost: 0.0013 ips: 23.9367 images/s [10/16 05:44:53] ppdet.engine INFO: Epoch: [152] [120/523] learning_rate: 0.195331 loss_vfl: 0.847947 loss_bbox: 0.304292 loss_dfl: 0.192948 loss: 1.358922 eta: 2 days, 1:53:16 batch_cost: 2.4568 data_cost: 0.0013 ips: 22.7936 images/s [10/16 05:45:43] ppdet.engine INFO: Epoch: [152] [140/523] learning_rate: 0.195251 loss_vfl: 0.853351 loss_bbox: 0.277072 loss_dfl: 0.183308 loss: 1.321275 eta: 2 days, 1:52:30 batch_cost: 2.3742 data_cost: 0.0013 ips: 23.5869 images/s [10/16 05:46:33] ppdet.engine INFO: Epoch: [152] [160/523] learning_rate: 0.195171 loss_vfl: 0.852863 loss_bbox: 0.297291 loss_dfl: 0.194713 loss: 1.347779 eta: 2 days, 1:51:45 batch_cost: 2.3899 data_cost: 0.0013 ips: 23.4315 images/s [10/16 05:47:25] ppdet.engine INFO: Epoch: [152] [180/523] learning_rate: 0.195091 loss_vfl: 0.841994 loss_bbox: 0.277546 loss_dfl: 0.181614 loss: 1.309492 eta: 2 days, 1:51:02 batch_cost: 2.4978 data_cost: 0.0013 ips: 22.4196 images/s [10/16 05:48:16] ppdet.engine INFO: Epoch: [152] [200/523] learning_rate: 0.195011 loss_vfl: 0.858108 loss_bbox: 0.281311 loss_dfl: 0.188517 loss: 1.336329 eta: 2 days, 1:50:18 batch_cost: 2.4461 data_cost: 0.0029 ips: 22.8940 images/s [10/16 05:49:06] ppdet.engine INFO: Epoch: [152] [220/523] learning_rate: 0.194931 loss_vfl: 0.834237 loss_bbox: 0.279786 loss_dfl: 0.183904 loss: 1.307728 eta: 2 days, 1:49:32 batch_cost: 2.3711 data_cost: 0.0013 ips: 23.6177 images/s [10/16 05:49:55] ppdet.engine INFO: Epoch: [152] [240/523] learning_rate: 0.194851 loss_vfl: 0.863210 loss_bbox: 0.265549 loss_dfl: 0.187660 loss: 1.318225 eta: 2 days, 1:48:47 batch_cost: 2.3540 data_cost: 0.0017 ips: 23.7893 images/s [10/16 05:50:43] ppdet.engine INFO: Epoch: [152] [260/523] learning_rate: 0.194771 loss_vfl: 0.854117 loss_bbox: 0.289141 loss_dfl: 0.184249 loss: 1.341253 eta: 2 days, 1:48:00 batch_cost: 2.3146 data_cost: 0.0013 ips: 24.1947 images/s [10/16 05:51:32] ppdet.engine INFO: Epoch: [152] [280/523] learning_rate: 0.194691 loss_vfl: 0.847516 loss_bbox: 0.291017 loss_dfl: 0.188704 loss: 1.333161 eta: 2 days, 1:47:14 batch_cost: 2.3375 data_cost: 0.0025 ips: 23.9574 images/s [10/16 05:52:22] ppdet.engine INFO: Epoch: [152] [300/523] learning_rate: 0.194610 loss_vfl: 0.862058 loss_bbox: 0.269725 loss_dfl: 0.174403 loss: 1.299669 eta: 2 days, 1:46:29 batch_cost: 2.4137 data_cost: 0.0014 ips: 23.2008 images/s [10/16 05:53:11] ppdet.engine INFO: Epoch: [152] [320/523] learning_rate: 0.194530 loss_vfl: 0.844124 loss_bbox: 0.274605 loss_dfl: 0.185311 loss: 1.303065 eta: 2 days, 1:45:43 batch_cost: 2.3278 data_cost: 0.0013 ips: 24.0575 images/s [10/16 05:54:01] ppdet.engine INFO: Epoch: [152] [340/523] learning_rate: 0.194450 loss_vfl: 0.846221 loss_bbox: 0.288516 loss_dfl: 0.187840 loss: 1.326034 eta: 2 days, 1:44:57 batch_cost: 2.3804 data_cost: 0.0024 ips: 23.5256 images/s [10/16 05:54:50] ppdet.engine INFO: Epoch: [152] [360/523] learning_rate: 0.194370 loss_vfl: 0.844769 loss_bbox: 0.301270 loss_dfl: 0.188473 loss: 1.344148 eta: 2 days, 1:44:11 batch_cost: 2.3419 data_cost: 0.0015 ips: 23.9117 images/s [10/16 05:55:39] ppdet.engine INFO: Epoch: [152] [380/523] learning_rate: 0.194290 loss_vfl: 0.842954 loss_bbox: 0.286474 loss_dfl: 0.190652 loss: 1.320648 eta: 2 days, 1:43:25 batch_cost: 2.3502 data_cost: 0.0013 ips: 23.8282 images/s [10/16 05:56:27] ppdet.engine INFO: Epoch: [152] [400/523] learning_rate: 0.194210 loss_vfl: 0.862528 loss_bbox: 0.302253 loss_dfl: 0.194169 loss: 1.356627 eta: 2 days, 1:42:38 batch_cost: 2.2994 data_cost: 0.0013 ips: 24.3537 images/s [10/16 05:57:17] ppdet.engine INFO: Epoch: [152] [420/523] learning_rate: 0.194130 loss_vfl: 0.855308 loss_bbox: 0.288268 loss_dfl: 0.188982 loss: 1.335189 eta: 2 days, 1:41:53 batch_cost: 2.3883 data_cost: 0.0033 ips: 23.4476 images/s [10/16 05:58:09] ppdet.engine INFO: Epoch: [152] [440/523] learning_rate: 0.194050 loss_vfl: 0.852664 loss_bbox: 0.301660 loss_dfl: 0.192498 loss: 1.342248 eta: 2 days, 1:41:09 batch_cost: 2.4710 data_cost: 0.0022 ips: 22.6631 images/s [10/16 05:58:59] ppdet.engine INFO: Epoch: [152] [460/523] learning_rate: 0.193970 loss_vfl: 0.848883 loss_bbox: 0.294700 loss_dfl: 0.191481 loss: 1.325434 eta: 2 days, 1:40:24 batch_cost: 2.4045 data_cost: 0.0013 ips: 23.2898 images/s [10/16 05:59:48] ppdet.engine INFO: Epoch: [152] [480/523] learning_rate: 0.193890 loss_vfl: 0.835635 loss_bbox: 0.300615 loss_dfl: 0.195677 loss: 1.327382 eta: 2 days, 1:39:38 batch_cost: 2.3299 data_cost: 0.0013 ips: 24.0358 images/s [10/16 06:00:39] ppdet.engine INFO: Epoch: [152] [500/523] learning_rate: 0.193810 loss_vfl: 0.847758 loss_bbox: 0.309128 loss_dfl: 0.191007 loss: 1.354960 eta: 2 days, 1:38:54 batch_cost: 2.4414 data_cost: 0.0013 ips: 22.9375 images/s [10/16 06:01:23] ppdet.engine INFO: Epoch: [152] [520/523] learning_rate: 0.193730 loss_vfl: 0.854813 loss_bbox: 0.284039 loss_dfl: 0.189410 loss: 1.327021 eta: 2 days, 1:38:03 batch_cost: 2.1241 data_cost: 0.0013 ips: 26.3641 images/s [10/16 06:01:55] ppdet.engine INFO: Epoch: [153] [ 0/523] learning_rate: 0.193718 loss_vfl: 0.857145 loss_bbox: 0.278362 loss_dfl: 0.189410 loss: 1.327021 eta: 2 days, 1:38:16 batch_cost: 3.1534 data_cost: 0.7494 ips: 17.7585 images/s [10/16 06:02:48] ppdet.engine INFO: Epoch: [153] [ 20/523] learning_rate: 0.193638 loss_vfl: 0.823100 loss_bbox: 0.289688 loss_dfl: 0.183315 loss: 1.303944 eta: 2 days, 1:37:34 batch_cost: 2.5463 data_cost: 0.0015 ips: 21.9925 images/s [10/16 06:03:40] ppdet.engine INFO: Epoch: [153] [ 40/523] learning_rate: 0.193558 loss_vfl: 0.845741 loss_bbox: 0.307697 loss_dfl: 0.196277 loss: 1.351410 eta: 2 days, 1:36:51 batch_cost: 2.4941 data_cost: 0.0015 ips: 22.4531 images/s [10/16 06:04:31] ppdet.engine INFO: Epoch: [153] [ 60/523] learning_rate: 0.193478 loss_vfl: 0.849383 loss_bbox: 0.281380 loss_dfl: 0.186011 loss: 1.322542 eta: 2 days, 1:36:07 batch_cost: 2.4402 data_cost: 0.0016 ips: 22.9488 images/s [10/16 06:05:23] ppdet.engine INFO: Epoch: [153] [ 80/523] learning_rate: 0.193398 loss_vfl: 0.838167 loss_bbox: 0.283515 loss_dfl: 0.187085 loss: 1.328501 eta: 2 days, 1:35:23 batch_cost: 2.4515 data_cost: 0.0014 ips: 22.8430 images/s [10/16 06:06:14] ppdet.engine INFO: Epoch: [153] [100/523] learning_rate: 0.193318 loss_vfl: 0.835502 loss_bbox: 0.282586 loss_dfl: 0.192113 loss: 1.331685 eta: 2 days, 1:34:38 batch_cost: 2.4414 data_cost: 0.0014 ips: 22.9381 images/s [10/16 06:07:04] ppdet.engine INFO: Epoch: [153] [120/523] learning_rate: 0.193238 loss_vfl: 0.853898 loss_bbox: 0.291468 loss_dfl: 0.195597 loss: 1.354240 eta: 2 days, 1:33:53 batch_cost: 2.3870 data_cost: 0.0019 ips: 23.4607 images/s [10/16 06:07:55] ppdet.engine INFO: Epoch: [153] [140/523] learning_rate: 0.193158 loss_vfl: 0.843641 loss_bbox: 0.294943 loss_dfl: 0.192984 loss: 1.341206 eta: 2 days, 1:33:09 batch_cost: 2.4579 data_cost: 0.0013 ips: 22.7839 images/s [10/16 06:08:46] ppdet.engine INFO: Epoch: [153] [160/523] learning_rate: 0.193077 loss_vfl: 0.834723 loss_bbox: 0.286006 loss_dfl: 0.182121 loss: 1.311889 eta: 2 days, 1:32:25 batch_cost: 2.4378 data_cost: 0.0013 ips: 22.9712 images/s [10/16 06:09:36] ppdet.engine INFO: Epoch: [153] [180/523] learning_rate: 0.192997 loss_vfl: 0.849506 loss_bbox: 0.279014 loss_dfl: 0.186493 loss: 1.345247 eta: 2 days, 1:31:39 batch_cost: 2.3862 data_cost: 0.0013 ips: 23.4682 images/s [10/16 06:10:27] ppdet.engine INFO: Epoch: [153] [200/523] learning_rate: 0.192917 loss_vfl: 0.846105 loss_bbox: 0.275456 loss_dfl: 0.184055 loss: 1.304072 eta: 2 days, 1:30:55 batch_cost: 2.4434 data_cost: 0.0014 ips: 22.9193 images/s [10/16 06:11:17] ppdet.engine INFO: Epoch: [153] [220/523] learning_rate: 0.192837 loss_vfl: 0.846717 loss_bbox: 0.282871 loss_dfl: 0.193785 loss: 1.335505 eta: 2 days, 1:30:10 batch_cost: 2.3790 data_cost: 0.0013 ips: 23.5389 images/s [10/16 06:12:08] ppdet.engine INFO: Epoch: [153] [240/523] learning_rate: 0.192757 loss_vfl: 0.857699 loss_bbox: 0.292177 loss_dfl: 0.192779 loss: 1.353159 eta: 2 days, 1:29:25 batch_cost: 2.4354 data_cost: 0.0013 ips: 22.9945 images/s [10/16 06:12:57] ppdet.engine INFO: Epoch: [153] [260/523] learning_rate: 0.192677 loss_vfl: 0.857851 loss_bbox: 0.298157 loss_dfl: 0.194324 loss: 1.367696 eta: 2 days, 1:28:39 batch_cost: 2.3283 data_cost: 0.0013 ips: 24.0520 images/s [10/16 06:13:47] ppdet.engine INFO: Epoch: [153] [280/523] learning_rate: 0.192597 loss_vfl: 0.855177 loss_bbox: 0.301624 loss_dfl: 0.192541 loss: 1.345009 eta: 2 days, 1:27:54 batch_cost: 2.4136 data_cost: 0.0012 ips: 23.2016 images/s [10/16 06:14:38] ppdet.engine INFO: Epoch: [153] [300/523] learning_rate: 0.192517 loss_vfl: 0.855363 loss_bbox: 0.296165 loss_dfl: 0.189249 loss: 1.322426 eta: 2 days, 1:27:10 batch_cost: 2.4485 data_cost: 0.0013 ips: 22.8716 images/s [10/16 06:15:28] ppdet.engine INFO: Epoch: [153] [320/523] learning_rate: 0.192437 loss_vfl: 0.858675 loss_bbox: 0.298257 loss_dfl: 0.196743 loss: 1.341561 eta: 2 days, 1:26:25 batch_cost: 2.3955 data_cost: 0.0013 ips: 23.3771 images/s [10/16 06:16:18] ppdet.engine INFO: Epoch: [153] [340/523] learning_rate: 0.192357 loss_vfl: 0.848935 loss_bbox: 0.299870 loss_dfl: 0.189743 loss: 1.350460 eta: 2 days, 1:25:39 batch_cost: 2.3749 data_cost: 0.0013 ips: 23.5800 images/s [10/16 06:17:07] ppdet.engine INFO: Epoch: [153] [360/523] learning_rate: 0.192277 loss_vfl: 0.859984 loss_bbox: 0.314122 loss_dfl: 0.203514 loss: 1.360992 eta: 2 days, 1:24:53 batch_cost: 2.3532 data_cost: 0.0014 ips: 23.7974 images/s [10/16 06:17:57] ppdet.engine INFO: Epoch: [153] [380/523] learning_rate: 0.192197 loss_vfl: 0.846670 loss_bbox: 0.294345 loss_dfl: 0.196778 loss: 1.345393 eta: 2 days, 1:24:08 batch_cost: 2.3947 data_cost: 0.0013 ips: 23.3852 images/s [10/16 06:18:48] ppdet.engine INFO: Epoch: [153] [400/523] learning_rate: 0.192117 loss_vfl: 0.845353 loss_bbox: 0.312286 loss_dfl: 0.196455 loss: 1.340881 eta: 2 days, 1:23:24 batch_cost: 2.4428 data_cost: 0.0013 ips: 22.9242 images/s [10/16 06:19:38] ppdet.engine INFO: Epoch: [153] [420/523] learning_rate: 0.192037 loss_vfl: 0.857697 loss_bbox: 0.287714 loss_dfl: 0.187492 loss: 1.336846 eta: 2 days, 1:22:39 batch_cost: 2.4044 data_cost: 0.0014 ips: 23.2903 images/s [10/16 06:20:29] ppdet.engine INFO: Epoch: [153] [440/523] learning_rate: 0.191957 loss_vfl: 0.853678 loss_bbox: 0.295360 loss_dfl: 0.190036 loss: 1.337578 eta: 2 days, 1:21:54 batch_cost: 2.3957 data_cost: 0.0013 ips: 23.3751 images/s [10/16 06:21:19] ppdet.engine INFO: Epoch: [153] [460/523] learning_rate: 0.191877 loss_vfl: 0.857152 loss_bbox: 0.279664 loss_dfl: 0.182660 loss: 1.329108 eta: 2 days, 1:21:08 batch_cost: 2.3847 data_cost: 0.0014 ips: 23.4831 images/s [10/16 06:22:07] ppdet.engine INFO: Epoch: [153] [480/523] learning_rate: 0.191797 loss_vfl: 0.833042 loss_bbox: 0.293056 loss_dfl: 0.183574 loss: 1.326007 eta: 2 days, 1:20:22 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0449 images/s [10/16 06:22:56] ppdet.engine INFO: Epoch: [153] [500/523] learning_rate: 0.191717 loss_vfl: 0.849521 loss_bbox: 0.306030 loss_dfl: 0.201289 loss: 1.342816 eta: 2 days, 1:19:36 batch_cost: 2.3280 data_cost: 0.0014 ips: 24.0551 images/s [10/16 06:23:39] ppdet.engine INFO: Epoch: [153] [520/523] learning_rate: 0.191637 loss_vfl: 0.856410 loss_bbox: 0.306079 loss_dfl: 0.201516 loss: 1.366811 eta: 2 days, 1:18:44 batch_cost: 2.0567 data_cost: 0.0013 ips: 27.2275 images/s [10/16 06:24:12] ppdet.engine INFO: Epoch: [154] [ 0/523] learning_rate: 0.191625 loss_vfl: 0.852604 loss_bbox: 0.306079 loss_dfl: 0.201516 loss: 1.365842 eta: 2 days, 1:18:58 batch_cost: 3.1171 data_cost: 0.4450 ips: 17.9656 images/s [10/16 06:25:04] ppdet.engine INFO: Epoch: [154] [ 20/523] learning_rate: 0.191545 loss_vfl: 0.832800 loss_bbox: 0.303835 loss_dfl: 0.188455 loss: 1.317261 eta: 2 days, 1:18:14 batch_cost: 2.4891 data_cost: 0.0014 ips: 22.4982 images/s [10/16 06:25:54] ppdet.engine INFO: Epoch: [154] [ 40/523] learning_rate: 0.191465 loss_vfl: 0.846816 loss_bbox: 0.296006 loss_dfl: 0.190659 loss: 1.325034 eta: 2 days, 1:17:29 batch_cost: 2.3811 data_cost: 0.0023 ips: 23.5188 images/s [10/16 06:26:45] ppdet.engine INFO: Epoch: [154] [ 60/523] learning_rate: 0.191385 loss_vfl: 0.837052 loss_bbox: 0.254032 loss_dfl: 0.175253 loss: 1.308772 eta: 2 days, 1:16:45 batch_cost: 2.4644 data_cost: 0.0016 ips: 22.7238 images/s [10/16 06:27:36] ppdet.engine INFO: Epoch: [154] [ 80/523] learning_rate: 0.191305 loss_vfl: 0.841050 loss_bbox: 0.312588 loss_dfl: 0.195279 loss: 1.351740 eta: 2 days, 1:16:01 batch_cost: 2.4500 data_cost: 0.0018 ips: 22.8569 images/s [10/16 06:28:26] ppdet.engine INFO: Epoch: [154] [100/523] learning_rate: 0.191225 loss_vfl: 0.844193 loss_bbox: 0.288620 loss_dfl: 0.189821 loss: 1.307100 eta: 2 days, 1:15:15 batch_cost: 2.3782 data_cost: 0.0026 ips: 23.5474 images/s [10/16 06:29:16] ppdet.engine INFO: Epoch: [154] [120/523] learning_rate: 0.191145 loss_vfl: 0.845696 loss_bbox: 0.282871 loss_dfl: 0.182409 loss: 1.321429 eta: 2 days, 1:14:30 batch_cost: 2.3868 data_cost: 0.0014 ips: 23.4621 images/s [10/16 06:30:05] ppdet.engine INFO: Epoch: [154] [140/523] learning_rate: 0.191065 loss_vfl: 0.846279 loss_bbox: 0.289413 loss_dfl: 0.186937 loss: 1.307226 eta: 2 days, 1:13:44 batch_cost: 2.3349 data_cost: 0.0013 ips: 23.9842 images/s [10/16 06:30:54] ppdet.engine INFO: Epoch: [154] [160/523] learning_rate: 0.190985 loss_vfl: 0.846043 loss_bbox: 0.285435 loss_dfl: 0.187802 loss: 1.307582 eta: 2 days, 1:12:58 batch_cost: 2.3543 data_cost: 0.0014 ips: 23.7860 images/s [10/16 06:31:43] ppdet.engine INFO: Epoch: [154] [180/523] learning_rate: 0.190905 loss_vfl: 0.830095 loss_bbox: 0.292175 loss_dfl: 0.187330 loss: 1.322934 eta: 2 days, 1:12:12 batch_cost: 2.3481 data_cost: 0.0013 ips: 23.8486 images/s [10/16 06:32:35] ppdet.engine INFO: Epoch: [154] [200/523] learning_rate: 0.190825 loss_vfl: 0.847242 loss_bbox: 0.303450 loss_dfl: 0.191475 loss: 1.332203 eta: 2 days, 1:11:28 batch_cost: 2.4587 data_cost: 0.0016 ips: 22.7760 images/s [10/16 06:33:29] ppdet.engine INFO: Epoch: [154] [220/523] learning_rate: 0.190745 loss_vfl: 0.841550 loss_bbox: 0.278947 loss_dfl: 0.189037 loss: 1.302640 eta: 2 days, 1:10:46 batch_cost: 2.5986 data_cost: 0.0036 ips: 21.5497 images/s [10/16 06:34:20] ppdet.engine INFO: Epoch: [154] [240/523] learning_rate: 0.190665 loss_vfl: 0.827105 loss_bbox: 0.292789 loss_dfl: 0.190569 loss: 1.330592 eta: 2 days, 1:10:02 batch_cost: 2.4585 data_cost: 0.0013 ips: 22.7781 images/s [10/16 06:35:09] ppdet.engine INFO: Epoch: [154] [260/523] learning_rate: 0.190585 loss_vfl: 0.859823 loss_bbox: 0.273152 loss_dfl: 0.182642 loss: 1.328356 eta: 2 days, 1:09:16 batch_cost: 2.3344 data_cost: 0.0014 ips: 23.9891 images/s [10/16 06:35:58] ppdet.engine INFO: Epoch: [154] [280/523] learning_rate: 0.190505 loss_vfl: 0.869649 loss_bbox: 0.284351 loss_dfl: 0.192240 loss: 1.330256 eta: 2 days, 1:08:30 batch_cost: 2.3399 data_cost: 0.0013 ips: 23.9329 images/s [10/16 06:36:47] ppdet.engine INFO: Epoch: [154] [300/523] learning_rate: 0.190425 loss_vfl: 0.844453 loss_bbox: 0.291272 loss_dfl: 0.188751 loss: 1.319042 eta: 2 days, 1:07:43 batch_cost: 2.3269 data_cost: 0.0013 ips: 24.0665 images/s [10/16 06:37:36] ppdet.engine INFO: Epoch: [154] [320/523] learning_rate: 0.190345 loss_vfl: 0.857424 loss_bbox: 0.273490 loss_dfl: 0.179971 loss: 1.317253 eta: 2 days, 1:06:58 batch_cost: 2.3618 data_cost: 0.0013 ips: 23.7110 images/s [10/16 06:38:25] ppdet.engine INFO: Epoch: [154] [340/523] learning_rate: 0.190265 loss_vfl: 0.851843 loss_bbox: 0.285668 loss_dfl: 0.186543 loss: 1.321047 eta: 2 days, 1:06:11 batch_cost: 2.3279 data_cost: 0.0012 ips: 24.0557 images/s [10/16 06:39:13] ppdet.engine INFO: Epoch: [154] [360/523] learning_rate: 0.190185 loss_vfl: 0.828924 loss_bbox: 0.281770 loss_dfl: 0.187596 loss: 1.306453 eta: 2 days, 1:05:25 batch_cost: 2.3411 data_cost: 0.0012 ips: 23.9204 images/s [10/16 06:40:02] ppdet.engine INFO: Epoch: [154] [380/523] learning_rate: 0.190105 loss_vfl: 0.848161 loss_bbox: 0.278058 loss_dfl: 0.186361 loss: 1.327442 eta: 2 days, 1:04:39 batch_cost: 2.3396 data_cost: 0.0014 ips: 23.9357 images/s [10/16 06:40:51] ppdet.engine INFO: Epoch: [154] [400/523] learning_rate: 0.190025 loss_vfl: 0.830686 loss_bbox: 0.291378 loss_dfl: 0.191887 loss: 1.325169 eta: 2 days, 1:03:52 batch_cost: 2.3136 data_cost: 0.0013 ips: 24.2049 images/s [10/16 06:41:42] ppdet.engine INFO: Epoch: [154] [420/523] learning_rate: 0.189945 loss_vfl: 0.866687 loss_bbox: 0.275171 loss_dfl: 0.180111 loss: 1.313563 eta: 2 days, 1:03:08 batch_cost: 2.4633 data_cost: 0.0013 ips: 22.7336 images/s [10/16 06:42:32] ppdet.engine INFO: Epoch: [154] [440/523] learning_rate: 0.189865 loss_vfl: 0.843454 loss_bbox: 0.282552 loss_dfl: 0.184678 loss: 1.317856 eta: 2 days, 1:02:22 batch_cost: 2.3810 data_cost: 0.0014 ips: 23.5198 images/s [10/16 06:43:22] ppdet.engine INFO: Epoch: [154] [460/523] learning_rate: 0.189785 loss_vfl: 0.853349 loss_bbox: 0.269624 loss_dfl: 0.185158 loss: 1.324230 eta: 2 days, 1:01:37 batch_cost: 2.4014 data_cost: 0.0015 ips: 23.3195 images/s [10/16 06:44:11] ppdet.engine INFO: Epoch: [154] [480/523] learning_rate: 0.189705 loss_vfl: 0.862875 loss_bbox: 0.287819 loss_dfl: 0.187183 loss: 1.335762 eta: 2 days, 1:00:51 batch_cost: 2.3396 data_cost: 0.0015 ips: 23.9361 images/s [10/16 06:45:00] ppdet.engine INFO: Epoch: [154] [500/523] learning_rate: 0.189625 loss_vfl: 0.856262 loss_bbox: 0.288353 loss_dfl: 0.188224 loss: 1.356199 eta: 2 days, 1:00:05 batch_cost: 2.3355 data_cost: 0.0013 ips: 23.9782 images/s [10/16 06:45:43] ppdet.engine INFO: Epoch: [154] [520/523] learning_rate: 0.189545 loss_vfl: 0.864426 loss_bbox: 0.286336 loss_dfl: 0.186486 loss: 1.335909 eta: 2 days, 0:59:13 batch_cost: 2.0560 data_cost: 0.0013 ips: 27.2369 images/s [10/16 06:46:17] ppdet.engine INFO: Epoch: [155] [ 0/523] learning_rate: 0.189533 loss_vfl: 0.870188 loss_bbox: 0.290913 loss_dfl: 0.186849 loss: 1.336587 eta: 2 days, 0:59:27 batch_cost: 3.1485 data_cost: 0.2881 ips: 17.7860 images/s [10/16 06:47:10] ppdet.engine INFO: Epoch: [155] [ 20/523] learning_rate: 0.189453 loss_vfl: 0.840025 loss_bbox: 0.297190 loss_dfl: 0.197924 loss: 1.341478 eta: 2 days, 0:58:45 batch_cost: 2.5323 data_cost: 0.0013 ips: 22.1139 images/s [10/16 06:48:01] ppdet.engine INFO: Epoch: [155] [ 40/523] learning_rate: 0.189373 loss_vfl: 0.854900 loss_bbox: 0.278068 loss_dfl: 0.184191 loss: 1.316077 eta: 2 days, 0:58:00 batch_cost: 2.4181 data_cost: 0.0015 ips: 23.1591 images/s [10/16 06:48:49] ppdet.engine INFO: Epoch: [155] [ 60/523] learning_rate: 0.189293 loss_vfl: 0.857472 loss_bbox: 0.283182 loss_dfl: 0.186999 loss: 1.322839 eta: 2 days, 0:57:14 batch_cost: 2.3437 data_cost: 0.0013 ips: 23.8938 images/s [10/16 06:49:39] ppdet.engine INFO: Epoch: [155] [ 80/523] learning_rate: 0.189213 loss_vfl: 0.842851 loss_bbox: 0.297231 loss_dfl: 0.195358 loss: 1.327705 eta: 2 days, 0:56:28 batch_cost: 2.3689 data_cost: 0.0014 ips: 23.6397 images/s [10/16 06:50:28] ppdet.engine INFO: Epoch: [155] [100/523] learning_rate: 0.189133 loss_vfl: 0.828231 loss_bbox: 0.291168 loss_dfl: 0.193430 loss: 1.320532 eta: 2 days, 0:55:42 batch_cost: 2.3483 data_cost: 0.0027 ips: 23.8466 images/s [10/16 06:51:19] ppdet.engine INFO: Epoch: [155] [120/523] learning_rate: 0.189053 loss_vfl: 0.841932 loss_bbox: 0.316575 loss_dfl: 0.203391 loss: 1.357133 eta: 2 days, 0:54:57 batch_cost: 2.4277 data_cost: 0.0014 ips: 23.0668 images/s [10/16 06:52:09] ppdet.engine INFO: Epoch: [155] [140/523] learning_rate: 0.188973 loss_vfl: 0.848240 loss_bbox: 0.287261 loss_dfl: 0.191876 loss: 1.323270 eta: 2 days, 0:54:11 batch_cost: 2.3688 data_cost: 0.0020 ips: 23.6406 images/s [10/16 06:52:58] ppdet.engine INFO: Epoch: [155] [160/523] learning_rate: 0.188893 loss_vfl: 0.842815 loss_bbox: 0.289423 loss_dfl: 0.186999 loss: 1.301997 eta: 2 days, 0:53:25 batch_cost: 2.3260 data_cost: 0.0014 ips: 24.0752 images/s [10/16 06:53:48] ppdet.engine INFO: Epoch: [155] [180/523] learning_rate: 0.188813 loss_vfl: 0.836227 loss_bbox: 0.291620 loss_dfl: 0.192684 loss: 1.314307 eta: 2 days, 0:52:40 batch_cost: 2.3988 data_cost: 0.0013 ips: 23.3447 images/s [10/16 06:54:38] ppdet.engine INFO: Epoch: [155] [200/523] learning_rate: 0.188733 loss_vfl: 0.850700 loss_bbox: 0.288432 loss_dfl: 0.190058 loss: 1.314041 eta: 2 days, 0:51:54 batch_cost: 2.3714 data_cost: 0.0014 ips: 23.6144 images/s [10/16 06:55:27] ppdet.engine INFO: Epoch: [155] [220/523] learning_rate: 0.188653 loss_vfl: 0.858448 loss_bbox: 0.304433 loss_dfl: 0.197939 loss: 1.372302 eta: 2 days, 0:51:08 batch_cost: 2.3503 data_cost: 0.0013 ips: 23.8272 images/s [10/16 06:56:16] ppdet.engine INFO: Epoch: [155] [240/523] learning_rate: 0.188573 loss_vfl: 0.848754 loss_bbox: 0.310020 loss_dfl: 0.204570 loss: 1.347484 eta: 2 days, 0:50:22 batch_cost: 2.3414 data_cost: 0.0013 ips: 23.9169 images/s [10/16 06:57:05] ppdet.engine INFO: Epoch: [155] [260/523] learning_rate: 0.188493 loss_vfl: 0.836145 loss_bbox: 0.291760 loss_dfl: 0.191988 loss: 1.316869 eta: 2 days, 0:49:36 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6573 images/s [10/16 06:57:54] ppdet.engine INFO: Epoch: [155] [280/523] learning_rate: 0.188413 loss_vfl: 0.833365 loss_bbox: 0.279084 loss_dfl: 0.186049 loss: 1.311208 eta: 2 days, 0:48:50 batch_cost: 2.3544 data_cost: 0.0022 ips: 23.7850 images/s [10/16 06:58:44] ppdet.engine INFO: Epoch: [155] [300/523] learning_rate: 0.188333 loss_vfl: 0.839918 loss_bbox: 0.286634 loss_dfl: 0.188519 loss: 1.311888 eta: 2 days, 0:48:04 batch_cost: 2.3553 data_cost: 0.0012 ips: 23.7762 images/s [10/16 06:59:35] ppdet.engine INFO: Epoch: [155] [320/523] learning_rate: 0.188253 loss_vfl: 0.845612 loss_bbox: 0.277979 loss_dfl: 0.188073 loss: 1.329376 eta: 2 days, 0:47:20 batch_cost: 2.4531 data_cost: 0.0029 ips: 22.8279 images/s [10/16 07:00:24] ppdet.engine INFO: Epoch: [155] [340/523] learning_rate: 0.188173 loss_vfl: 0.832407 loss_bbox: 0.301101 loss_dfl: 0.194081 loss: 1.337249 eta: 2 days, 0:46:34 batch_cost: 2.3461 data_cost: 0.0013 ips: 23.8690 images/s [10/16 07:01:17] ppdet.engine INFO: Epoch: [155] [360/523] learning_rate: 0.188093 loss_vfl: 0.859678 loss_bbox: 0.306623 loss_dfl: 0.191114 loss: 1.363390 eta: 2 days, 0:45:51 batch_cost: 2.5348 data_cost: 0.0016 ips: 22.0928 images/s [10/16 07:02:11] ppdet.engine INFO: Epoch: [155] [380/523] learning_rate: 0.188013 loss_vfl: 0.847717 loss_bbox: 0.302407 loss_dfl: 0.190154 loss: 1.339017 eta: 2 days, 0:45:09 batch_cost: 2.5502 data_cost: 0.0032 ips: 21.9589 images/s [10/16 07:03:05] ppdet.engine INFO: Epoch: [155] [400/523] learning_rate: 0.187934 loss_vfl: 0.851417 loss_bbox: 0.286545 loss_dfl: 0.191810 loss: 1.326291 eta: 2 days, 0:44:27 batch_cost: 2.5905 data_cost: 0.0027 ips: 21.6173 images/s [10/16 07:03:58] ppdet.engine INFO: Epoch: [155] [420/523] learning_rate: 0.187854 loss_vfl: 0.850074 loss_bbox: 0.286052 loss_dfl: 0.187847 loss: 1.318728 eta: 2 days, 0:43:45 batch_cost: 2.5714 data_cost: 0.0022 ips: 21.7783 images/s [10/16 07:04:50] ppdet.engine INFO: Epoch: [155] [440/523] learning_rate: 0.187774 loss_vfl: 0.839444 loss_bbox: 0.292641 loss_dfl: 0.194137 loss: 1.349269 eta: 2 days, 0:43:01 batch_cost: 2.4649 data_cost: 0.0030 ips: 22.7192 images/s [10/16 07:05:44] ppdet.engine INFO: Epoch: [155] [460/523] learning_rate: 0.187694 loss_vfl: 0.851243 loss_bbox: 0.289984 loss_dfl: 0.195404 loss: 1.327925 eta: 2 days, 0:42:19 batch_cost: 2.5767 data_cost: 0.0036 ips: 21.7335 images/s [10/16 07:06:37] ppdet.engine INFO: Epoch: [155] [480/523] learning_rate: 0.187614 loss_vfl: 0.869922 loss_bbox: 0.289746 loss_dfl: 0.182532 loss: 1.323983 eta: 2 days, 0:41:36 batch_cost: 2.5034 data_cost: 0.0029 ips: 22.3696 images/s [10/16 07:07:30] ppdet.engine INFO: Epoch: [155] [500/523] learning_rate: 0.187534 loss_vfl: 0.855465 loss_bbox: 0.276130 loss_dfl: 0.183789 loss: 1.317736 eta: 2 days, 0:40:54 batch_cost: 2.5742 data_cost: 0.0024 ips: 21.7545 images/s [10/16 07:08:16] ppdet.engine INFO: Epoch: [155] [520/523] learning_rate: 0.187454 loss_vfl: 0.837288 loss_bbox: 0.302262 loss_dfl: 0.196243 loss: 1.330321 eta: 2 days, 0:40:05 batch_cost: 2.1686 data_cost: 0.0024 ips: 25.8231 images/s [10/16 07:08:45] ppdet.engine INFO: Epoch: [156] [ 0/523] learning_rate: 0.187442 loss_vfl: 0.833608 loss_bbox: 0.302262 loss_dfl: 0.194857 loss: 1.330321 eta: 2 days, 0:40:14 batch_cost: 3.0030 data_cost: 0.5344 ips: 18.6479 images/s [10/16 07:09:50] ppdet.engine INFO: Epoch: [156] [ 20/523] learning_rate: 0.187362 loss_vfl: 0.842488 loss_bbox: 0.285859 loss_dfl: 0.187344 loss: 1.343749 eta: 2 days, 0:39:41 batch_cost: 3.0776 data_cost: 0.0049 ips: 18.1958 images/s [10/16 07:10:42] ppdet.engine INFO: Epoch: [156] [ 40/523] learning_rate: 0.187282 loss_vfl: 0.831623 loss_bbox: 0.299568 loss_dfl: 0.192328 loss: 1.333669 eta: 2 days, 0:38:58 batch_cost: 2.5068 data_cost: 0.0031 ips: 22.3391 images/s [10/16 07:11:35] ppdet.engine INFO: Epoch: [156] [ 60/523] learning_rate: 0.187202 loss_vfl: 0.831010 loss_bbox: 0.307451 loss_dfl: 0.200136 loss: 1.334872 eta: 2 days, 0:38:15 batch_cost: 2.5374 data_cost: 0.0015 ips: 22.0700 images/s [10/16 07:12:28] ppdet.engine INFO: Epoch: [156] [ 80/523] learning_rate: 0.187122 loss_vfl: 0.844669 loss_bbox: 0.285448 loss_dfl: 0.192173 loss: 1.328602 eta: 2 days, 0:37:33 batch_cost: 2.5309 data_cost: 0.0033 ips: 22.1262 images/s [10/16 07:13:18] ppdet.engine INFO: Epoch: [156] [100/523] learning_rate: 0.187042 loss_vfl: 0.843209 loss_bbox: 0.289344 loss_dfl: 0.196814 loss: 1.325757 eta: 2 days, 0:36:47 batch_cost: 2.3719 data_cost: 0.0014 ips: 23.6093 images/s [10/16 07:14:07] ppdet.engine INFO: Epoch: [156] [120/523] learning_rate: 0.186962 loss_vfl: 0.852039 loss_bbox: 0.286717 loss_dfl: 0.186978 loss: 1.327232 eta: 2 days, 0:36:01 batch_cost: 2.3643 data_cost: 0.0014 ips: 23.6853 images/s [10/16 07:14:56] ppdet.engine INFO: Epoch: [156] [140/523] learning_rate: 0.186882 loss_vfl: 0.832110 loss_bbox: 0.285148 loss_dfl: 0.184108 loss: 1.316774 eta: 2 days, 0:35:15 batch_cost: 2.3413 data_cost: 0.0013 ips: 23.9186 images/s [10/16 07:15:44] ppdet.engine INFO: Epoch: [156] [160/523] learning_rate: 0.186802 loss_vfl: 0.843182 loss_bbox: 0.298627 loss_dfl: 0.190013 loss: 1.317528 eta: 2 days, 0:34:28 batch_cost: 2.2878 data_cost: 0.0013 ips: 24.4778 images/s [10/16 07:16:34] ppdet.engine INFO: Epoch: [156] [180/523] learning_rate: 0.186723 loss_vfl: 0.854104 loss_bbox: 0.298861 loss_dfl: 0.185466 loss: 1.326602 eta: 2 days, 0:33:42 batch_cost: 2.3785 data_cost: 0.0023 ips: 23.5446 images/s [10/16 07:17:22] ppdet.engine INFO: Epoch: [156] [200/523] learning_rate: 0.186643 loss_vfl: 0.850857 loss_bbox: 0.291186 loss_dfl: 0.187795 loss: 1.329595 eta: 2 days, 0:32:55 batch_cost: 2.3111 data_cost: 0.0015 ips: 24.2309 images/s [10/16 07:18:11] ppdet.engine INFO: Epoch: [156] [220/523] learning_rate: 0.186563 loss_vfl: 0.841991 loss_bbox: 0.289439 loss_dfl: 0.187185 loss: 1.323895 eta: 2 days, 0:32:08 batch_cost: 2.3176 data_cost: 0.0013 ips: 24.1634 images/s [10/16 07:18:59] ppdet.engine INFO: Epoch: [156] [240/523] learning_rate: 0.186483 loss_vfl: 0.836699 loss_bbox: 0.310185 loss_dfl: 0.190665 loss: 1.320173 eta: 2 days, 0:31:21 batch_cost: 2.2869 data_cost: 0.0019 ips: 24.4872 images/s [10/16 07:19:49] ppdet.engine INFO: Epoch: [156] [260/523] learning_rate: 0.186403 loss_vfl: 0.842026 loss_bbox: 0.289761 loss_dfl: 0.184057 loss: 1.329429 eta: 2 days, 0:30:36 batch_cost: 2.3853 data_cost: 0.0013 ips: 23.4772 images/s [10/16 07:20:37] ppdet.engine INFO: Epoch: [156] [280/523] learning_rate: 0.186323 loss_vfl: 0.825081 loss_bbox: 0.300848 loss_dfl: 0.198658 loss: 1.331987 eta: 2 days, 0:29:49 batch_cost: 2.3279 data_cost: 0.0014 ips: 24.0558 images/s [10/16 07:21:26] ppdet.engine INFO: Epoch: [156] [300/523] learning_rate: 0.186243 loss_vfl: 0.852386 loss_bbox: 0.320000 loss_dfl: 0.202741 loss: 1.372343 eta: 2 days, 0:29:03 batch_cost: 2.3459 data_cost: 0.0021 ips: 23.8712 images/s [10/16 07:22:15] ppdet.engine INFO: Epoch: [156] [320/523] learning_rate: 0.186163 loss_vfl: 0.845679 loss_bbox: 0.286799 loss_dfl: 0.195194 loss: 1.319659 eta: 2 days, 0:28:16 batch_cost: 2.3011 data_cost: 0.0027 ips: 24.3363 images/s [10/16 07:23:04] ppdet.engine INFO: Epoch: [156] [340/523] learning_rate: 0.186083 loss_vfl: 0.843139 loss_bbox: 0.297740 loss_dfl: 0.195600 loss: 1.323937 eta: 2 days, 0:27:30 batch_cost: 2.3480 data_cost: 0.0019 ips: 23.8498 images/s [10/16 07:23:53] ppdet.engine INFO: Epoch: [156] [360/523] learning_rate: 0.186003 loss_vfl: 0.844290 loss_bbox: 0.308264 loss_dfl: 0.199422 loss: 1.339292 eta: 2 days, 0:26:43 batch_cost: 2.3129 data_cost: 0.0012 ips: 24.2117 images/s [10/16 07:24:41] ppdet.engine INFO: Epoch: [156] [380/523] learning_rate: 0.185924 loss_vfl: 0.839462 loss_bbox: 0.289402 loss_dfl: 0.186442 loss: 1.327064 eta: 2 days, 0:25:56 batch_cost: 2.3069 data_cost: 0.0016 ips: 24.2754 images/s [10/16 07:25:31] ppdet.engine INFO: Epoch: [156] [400/523] learning_rate: 0.185844 loss_vfl: 0.857340 loss_bbox: 0.271586 loss_dfl: 0.181725 loss: 1.298141 eta: 2 days, 0:25:10 batch_cost: 2.3663 data_cost: 0.0019 ips: 23.6651 images/s [10/16 07:26:19] ppdet.engine INFO: Epoch: [156] [420/523] learning_rate: 0.185764 loss_vfl: 0.838749 loss_bbox: 0.289568 loss_dfl: 0.189140 loss: 1.344930 eta: 2 days, 0:24:24 batch_cost: 2.3187 data_cost: 0.0013 ips: 24.1513 images/s [10/16 07:27:08] ppdet.engine INFO: Epoch: [156] [440/523] learning_rate: 0.185684 loss_vfl: 0.861327 loss_bbox: 0.292618 loss_dfl: 0.188512 loss: 1.325686 eta: 2 days, 0:23:38 batch_cost: 2.3529 data_cost: 0.0013 ips: 23.8006 images/s [10/16 07:27:57] ppdet.engine INFO: Epoch: [156] [460/523] learning_rate: 0.185604 loss_vfl: 0.854025 loss_bbox: 0.308581 loss_dfl: 0.198650 loss: 1.358744 eta: 2 days, 0:22:51 batch_cost: 2.3376 data_cost: 0.0013 ips: 23.9557 images/s [10/16 07:28:46] ppdet.engine INFO: Epoch: [156] [480/523] learning_rate: 0.185524 loss_vfl: 0.848535 loss_bbox: 0.308047 loss_dfl: 0.201515 loss: 1.356338 eta: 2 days, 0:22:05 batch_cost: 2.3343 data_cost: 0.0012 ips: 23.9903 images/s [10/16 07:29:36] ppdet.engine INFO: Epoch: [156] [500/523] learning_rate: 0.185444 loss_vfl: 0.848030 loss_bbox: 0.277904 loss_dfl: 0.184154 loss: 1.326542 eta: 2 days, 0:21:19 batch_cost: 2.3571 data_cost: 0.0013 ips: 23.7579 images/s [10/16 07:30:19] ppdet.engine INFO: Epoch: [156] [520/523] learning_rate: 0.185364 loss_vfl: 0.847303 loss_bbox: 0.298578 loss_dfl: 0.194142 loss: 1.335995 eta: 2 days, 0:20:28 batch_cost: 2.0717 data_cost: 0.0012 ips: 27.0310 images/s [10/16 07:30:51] ppdet.engine INFO: Epoch: [157] [ 0/523] learning_rate: 0.185352 loss_vfl: 0.851157 loss_bbox: 0.298578 loss_dfl: 0.194331 loss: 1.336255 eta: 2 days, 0:20:40 batch_cost: 3.1354 data_cost: 0.7684 ips: 17.8607 images/s [10/16 07:31:42] ppdet.engine INFO: Epoch: [157] [ 20/523] learning_rate: 0.185272 loss_vfl: 0.863228 loss_bbox: 0.299809 loss_dfl: 0.191641 loss: 1.347059 eta: 2 days, 0:19:55 batch_cost: 2.4010 data_cost: 0.0020 ips: 23.3239 images/s [10/16 07:32:32] ppdet.engine INFO: Epoch: [157] [ 40/523] learning_rate: 0.185193 loss_vfl: 0.837242 loss_bbox: 0.294446 loss_dfl: 0.188847 loss: 1.308958 eta: 2 days, 0:19:10 batch_cost: 2.4206 data_cost: 0.0029 ips: 23.1343 images/s [10/16 07:33:22] ppdet.engine INFO: Epoch: [157] [ 60/523] learning_rate: 0.185113 loss_vfl: 0.856754 loss_bbox: 0.272533 loss_dfl: 0.188306 loss: 1.322122 eta: 2 days, 0:18:25 batch_cost: 2.3908 data_cost: 0.0018 ips: 23.4231 images/s [10/16 07:34:12] ppdet.engine INFO: Epoch: [157] [ 80/523] learning_rate: 0.185033 loss_vfl: 0.840871 loss_bbox: 0.280476 loss_dfl: 0.187214 loss: 1.300423 eta: 2 days, 0:17:39 batch_cost: 2.3680 data_cost: 0.0014 ips: 23.6484 images/s [10/16 07:35:01] ppdet.engine INFO: Epoch: [157] [100/523] learning_rate: 0.184953 loss_vfl: 0.858966 loss_bbox: 0.294405 loss_dfl: 0.188281 loss: 1.354269 eta: 2 days, 0:16:53 batch_cost: 2.3783 data_cost: 0.0016 ips: 23.5467 images/s [10/16 07:35:51] ppdet.engine INFO: Epoch: [157] [120/523] learning_rate: 0.184873 loss_vfl: 0.836762 loss_bbox: 0.278272 loss_dfl: 0.186678 loss: 1.298402 eta: 2 days, 0:16:08 batch_cost: 2.3848 data_cost: 0.0023 ips: 23.4822 images/s [10/16 07:36:40] ppdet.engine INFO: Epoch: [157] [140/523] learning_rate: 0.184793 loss_vfl: 0.839151 loss_bbox: 0.280501 loss_dfl: 0.186804 loss: 1.301378 eta: 2 days, 0:15:21 batch_cost: 2.3177 data_cost: 0.0013 ips: 24.1624 images/s [10/16 07:37:28] ppdet.engine INFO: Epoch: [157] [160/523] learning_rate: 0.184713 loss_vfl: 0.848764 loss_bbox: 0.295350 loss_dfl: 0.197086 loss: 1.336875 eta: 2 days, 0:14:35 batch_cost: 2.3272 data_cost: 0.0012 ips: 24.0636 images/s [10/16 07:38:18] ppdet.engine INFO: Epoch: [157] [180/523] learning_rate: 0.184634 loss_vfl: 0.833456 loss_bbox: 0.271238 loss_dfl: 0.185691 loss: 1.298116 eta: 2 days, 0:13:49 batch_cost: 2.3659 data_cost: 0.0012 ips: 23.6696 images/s [10/16 07:39:07] ppdet.engine INFO: Epoch: [157] [200/523] learning_rate: 0.184554 loss_vfl: 0.841515 loss_bbox: 0.268889 loss_dfl: 0.181432 loss: 1.294937 eta: 2 days, 0:13:03 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8228 images/s [10/16 07:39:56] ppdet.engine INFO: Epoch: [157] [220/523] learning_rate: 0.184474 loss_vfl: 0.846542 loss_bbox: 0.257411 loss_dfl: 0.178089 loss: 1.292174 eta: 2 days, 0:12:16 batch_cost: 2.3084 data_cost: 0.0013 ips: 24.2590 images/s [10/16 07:40:44] ppdet.engine INFO: Epoch: [157] [240/523] learning_rate: 0.184394 loss_vfl: 0.838530 loss_bbox: 0.279983 loss_dfl: 0.189098 loss: 1.295653 eta: 2 days, 0:11:29 batch_cost: 2.3236 data_cost: 0.0013 ips: 24.1008 images/s [10/16 07:41:34] ppdet.engine INFO: Epoch: [157] [260/523] learning_rate: 0.184314 loss_vfl: 0.842010 loss_bbox: 0.291187 loss_dfl: 0.189834 loss: 1.321358 eta: 2 days, 0:10:43 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6676 images/s [10/16 07:42:23] ppdet.engine INFO: Epoch: [157] [280/523] learning_rate: 0.184234 loss_vfl: 0.833022 loss_bbox: 0.276243 loss_dfl: 0.188741 loss: 1.308354 eta: 2 days, 0:09:57 batch_cost: 2.3226 data_cost: 0.0013 ips: 24.1112 images/s [10/16 07:43:11] ppdet.engine INFO: Epoch: [157] [300/523] learning_rate: 0.184154 loss_vfl: 0.844153 loss_bbox: 0.305786 loss_dfl: 0.189641 loss: 1.318984 eta: 2 days, 0:09:10 batch_cost: 2.3201 data_cost: 0.0012 ips: 24.1373 images/s [10/16 07:44:00] ppdet.engine INFO: Epoch: [157] [320/523] learning_rate: 0.184075 loss_vfl: 0.851298 loss_bbox: 0.280255 loss_dfl: 0.189786 loss: 1.316000 eta: 2 days, 0:08:23 batch_cost: 2.3203 data_cost: 0.0018 ips: 24.1352 images/s [10/16 07:44:49] ppdet.engine INFO: Epoch: [157] [340/523] learning_rate: 0.183995 loss_vfl: 0.845549 loss_bbox: 0.296235 loss_dfl: 0.192702 loss: 1.338718 eta: 2 days, 0:07:38 batch_cost: 2.3819 data_cost: 0.0023 ips: 23.5105 images/s [10/16 07:45:40] ppdet.engine INFO: Epoch: [157] [360/523] learning_rate: 0.183915 loss_vfl: 0.825169 loss_bbox: 0.293418 loss_dfl: 0.189780 loss: 1.302280 eta: 2 days, 0:06:53 batch_cost: 2.4090 data_cost: 0.0019 ips: 23.2459 images/s [10/16 07:46:29] ppdet.engine INFO: Epoch: [157] [380/523] learning_rate: 0.183835 loss_vfl: 0.839143 loss_bbox: 0.290335 loss_dfl: 0.188701 loss: 1.324892 eta: 2 days, 0:06:07 batch_cost: 2.3625 data_cost: 0.0024 ips: 23.7042 images/s [10/16 07:47:18] ppdet.engine INFO: Epoch: [157] [400/523] learning_rate: 0.183755 loss_vfl: 0.845135 loss_bbox: 0.277443 loss_dfl: 0.189282 loss: 1.309483 eta: 2 days, 0:05:20 batch_cost: 2.3181 data_cost: 0.0013 ips: 24.1577 images/s [10/16 07:48:07] ppdet.engine INFO: Epoch: [157] [420/523] learning_rate: 0.183675 loss_vfl: 0.841477 loss_bbox: 0.307865 loss_dfl: 0.195884 loss: 1.357995 eta: 2 days, 0:04:34 batch_cost: 2.3485 data_cost: 0.0019 ips: 23.8450 images/s [10/16 07:48:56] ppdet.engine INFO: Epoch: [157] [440/523] learning_rate: 0.183596 loss_vfl: 0.854403 loss_bbox: 0.288906 loss_dfl: 0.188494 loss: 1.337222 eta: 2 days, 0:03:47 batch_cost: 2.3269 data_cost: 0.0012 ips: 24.0659 images/s [10/16 07:49:45] ppdet.engine INFO: Epoch: [157] [460/523] learning_rate: 0.183516 loss_vfl: 0.843297 loss_bbox: 0.286038 loss_dfl: 0.190682 loss: 1.328126 eta: 2 days, 0:03:01 batch_cost: 2.3402 data_cost: 0.0012 ips: 23.9301 images/s [10/16 07:50:35] ppdet.engine INFO: Epoch: [157] [480/523] learning_rate: 0.183436 loss_vfl: 0.855599 loss_bbox: 0.287525 loss_dfl: 0.184966 loss: 1.343866 eta: 2 days, 0:02:16 batch_cost: 2.3916 data_cost: 0.0013 ips: 23.4153 images/s [10/16 07:51:24] ppdet.engine INFO: Epoch: [157] [500/523] learning_rate: 0.183356 loss_vfl: 0.849009 loss_bbox: 0.302457 loss_dfl: 0.188132 loss: 1.327106 eta: 2 days, 0:01:30 batch_cost: 2.3753 data_cost: 0.0013 ips: 23.5759 images/s [10/16 07:52:08] ppdet.engine INFO: Epoch: [157] [520/523] learning_rate: 0.183276 loss_vfl: 0.867875 loss_bbox: 0.280722 loss_dfl: 0.189057 loss: 1.329377 eta: 2 days, 0:00:39 batch_cost: 2.0624 data_cost: 0.0013 ips: 27.1530 images/s [10/16 07:52:40] ppdet.engine INFO: Epoch: [158] [ 0/523] learning_rate: 0.183264 loss_vfl: 0.876115 loss_bbox: 0.275814 loss_dfl: 0.185374 loss: 1.325110 eta: 2 days, 0:00:51 batch_cost: 3.1255 data_cost: 0.8144 ips: 17.9169 images/s [10/16 07:53:28] ppdet.engine INFO: Epoch: [158] [ 20/523] learning_rate: 0.183185 loss_vfl: 0.829046 loss_bbox: 0.293546 loss_dfl: 0.197048 loss: 1.347747 eta: 2 days, 0:00:04 batch_cost: 2.3096 data_cost: 0.0013 ips: 24.2469 images/s [10/16 07:54:19] ppdet.engine INFO: Epoch: [158] [ 40/523] learning_rate: 0.183105 loss_vfl: 0.833654 loss_bbox: 0.294605 loss_dfl: 0.190561 loss: 1.347155 eta: 1 day, 23:59:19 batch_cost: 2.4142 data_cost: 0.0012 ips: 23.1966 images/s [10/16 07:55:08] ppdet.engine INFO: Epoch: [158] [ 60/523] learning_rate: 0.183025 loss_vfl: 0.814402 loss_bbox: 0.277444 loss_dfl: 0.183938 loss: 1.290483 eta: 1 day, 23:58:33 batch_cost: 2.3730 data_cost: 0.0012 ips: 23.5985 images/s [10/16 07:55:57] ppdet.engine INFO: Epoch: [158] [ 80/523] learning_rate: 0.182945 loss_vfl: 0.828419 loss_bbox: 0.298154 loss_dfl: 0.188134 loss: 1.325852 eta: 1 day, 23:57:47 batch_cost: 2.3295 data_cost: 0.0019 ips: 24.0397 images/s [10/16 07:56:45] ppdet.engine INFO: Epoch: [158] [100/523] learning_rate: 0.182865 loss_vfl: 0.816975 loss_bbox: 0.289035 loss_dfl: 0.185569 loss: 1.297930 eta: 1 day, 23:56:59 batch_cost: 2.2735 data_cost: 0.0012 ips: 24.6321 images/s [10/16 07:57:35] ppdet.engine INFO: Epoch: [158] [120/523] learning_rate: 0.182786 loss_vfl: 0.856732 loss_bbox: 0.293504 loss_dfl: 0.191166 loss: 1.345002 eta: 1 day, 23:56:14 batch_cost: 2.4038 data_cost: 0.0013 ips: 23.2961 images/s [10/16 07:58:25] ppdet.engine INFO: Epoch: [158] [140/523] learning_rate: 0.182706 loss_vfl: 0.846580 loss_bbox: 0.285352 loss_dfl: 0.187799 loss: 1.300740 eta: 1 day, 23:55:29 batch_cost: 2.3964 data_cost: 0.0012 ips: 23.3684 images/s [10/16 07:59:13] ppdet.engine INFO: Epoch: [158] [160/523] learning_rate: 0.182626 loss_vfl: 0.851683 loss_bbox: 0.274773 loss_dfl: 0.186013 loss: 1.318660 eta: 1 day, 23:54:42 batch_cost: 2.3234 data_cost: 0.0012 ips: 24.1022 images/s [10/16 08:00:02] ppdet.engine INFO: Epoch: [158] [180/523] learning_rate: 0.182546 loss_vfl: 0.867982 loss_bbox: 0.286790 loss_dfl: 0.187203 loss: 1.322478 eta: 1 day, 23:53:55 batch_cost: 2.2917 data_cost: 0.0012 ips: 24.4357 images/s [10/16 08:00:50] ppdet.engine INFO: Epoch: [158] [200/523] learning_rate: 0.182466 loss_vfl: 0.843225 loss_bbox: 0.287938 loss_dfl: 0.187121 loss: 1.307746 eta: 1 day, 23:53:08 batch_cost: 2.3129 data_cost: 0.0012 ips: 24.2117 images/s [10/16 08:01:40] ppdet.engine INFO: Epoch: [158] [220/523] learning_rate: 0.182387 loss_vfl: 0.820626 loss_bbox: 0.300346 loss_dfl: 0.196531 loss: 1.337957 eta: 1 day, 23:52:22 batch_cost: 2.3665 data_cost: 0.0012 ips: 23.6639 images/s [10/16 08:02:28] ppdet.engine INFO: Epoch: [158] [240/523] learning_rate: 0.182307 loss_vfl: 0.851634 loss_bbox: 0.296404 loss_dfl: 0.188602 loss: 1.311897 eta: 1 day, 23:51:36 batch_cost: 2.3263 data_cost: 0.0013 ips: 24.0726 images/s [10/16 08:03:18] ppdet.engine INFO: Epoch: [158] [260/523] learning_rate: 0.182227 loss_vfl: 0.835690 loss_bbox: 0.289090 loss_dfl: 0.196357 loss: 1.309776 eta: 1 day, 23:50:50 batch_cost: 2.3563 data_cost: 0.0019 ips: 23.7661 images/s [10/16 08:04:05] ppdet.engine INFO: Epoch: [158] [280/523] learning_rate: 0.182147 loss_vfl: 0.867393 loss_bbox: 0.274999 loss_dfl: 0.190470 loss: 1.337231 eta: 1 day, 23:50:02 batch_cost: 2.2772 data_cost: 0.0025 ips: 24.5913 images/s [10/16 08:04:56] ppdet.engine INFO: Epoch: [158] [300/523] learning_rate: 0.182068 loss_vfl: 0.832856 loss_bbox: 0.296851 loss_dfl: 0.186217 loss: 1.328048 eta: 1 day, 23:49:17 batch_cost: 2.4045 data_cost: 0.0012 ips: 23.2898 images/s [10/16 08:05:46] ppdet.engine INFO: Epoch: [158] [320/523] learning_rate: 0.181988 loss_vfl: 0.844694 loss_bbox: 0.289585 loss_dfl: 0.194333 loss: 1.331637 eta: 1 day, 23:48:32 batch_cost: 2.4116 data_cost: 0.0012 ips: 23.2211 images/s [10/16 08:06:35] ppdet.engine INFO: Epoch: [158] [340/523] learning_rate: 0.181908 loss_vfl: 0.816181 loss_bbox: 0.287302 loss_dfl: 0.189495 loss: 1.302983 eta: 1 day, 23:47:46 batch_cost: 2.3685 data_cost: 0.0012 ips: 23.6440 images/s [10/16 08:07:25] ppdet.engine INFO: Epoch: [158] [360/523] learning_rate: 0.181828 loss_vfl: 0.826712 loss_bbox: 0.286809 loss_dfl: 0.193629 loss: 1.340866 eta: 1 day, 23:47:00 batch_cost: 2.3711 data_cost: 0.0012 ips: 23.6179 images/s [10/16 08:08:14] ppdet.engine INFO: Epoch: [158] [380/523] learning_rate: 0.181749 loss_vfl: 0.857381 loss_bbox: 0.278910 loss_dfl: 0.180867 loss: 1.308819 eta: 1 day, 23:46:14 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8231 images/s [10/16 08:09:03] ppdet.engine INFO: Epoch: [158] [400/523] learning_rate: 0.181669 loss_vfl: 0.826896 loss_bbox: 0.282597 loss_dfl: 0.185474 loss: 1.291848 eta: 1 day, 23:45:28 batch_cost: 2.3220 data_cost: 0.0012 ips: 24.1173 images/s [10/16 08:09:51] ppdet.engine INFO: Epoch: [158] [420/523] learning_rate: 0.181589 loss_vfl: 0.825391 loss_bbox: 0.317640 loss_dfl: 0.202645 loss: 1.356561 eta: 1 day, 23:44:41 batch_cost: 2.3229 data_cost: 0.0012 ips: 24.1073 images/s [10/16 08:10:41] ppdet.engine INFO: Epoch: [158] [440/523] learning_rate: 0.181509 loss_vfl: 0.825850 loss_bbox: 0.291399 loss_dfl: 0.192978 loss: 1.308560 eta: 1 day, 23:43:55 batch_cost: 2.3596 data_cost: 0.0013 ips: 23.7332 images/s [10/16 08:11:30] ppdet.engine INFO: Epoch: [158] [460/523] learning_rate: 0.181430 loss_vfl: 0.853296 loss_bbox: 0.307473 loss_dfl: 0.193167 loss: 1.340348 eta: 1 day, 23:43:09 batch_cost: 2.3754 data_cost: 0.0013 ips: 23.5754 images/s [10/16 08:12:20] ppdet.engine INFO: Epoch: [158] [480/523] learning_rate: 0.181350 loss_vfl: 0.855099 loss_bbox: 0.281391 loss_dfl: 0.177872 loss: 1.341526 eta: 1 day, 23:42:24 batch_cost: 2.3917 data_cost: 0.0012 ips: 23.4146 images/s [10/16 08:13:09] ppdet.engine INFO: Epoch: [158] [500/523] learning_rate: 0.181270 loss_vfl: 0.817973 loss_bbox: 0.300862 loss_dfl: 0.198048 loss: 1.317074 eta: 1 day, 23:41:38 batch_cost: 2.3630 data_cost: 0.0012 ips: 23.6988 images/s [10/16 08:13:52] ppdet.engine INFO: Epoch: [158] [520/523] learning_rate: 0.181190 loss_vfl: 0.866315 loss_bbox: 0.288774 loss_dfl: 0.187045 loss: 1.323238 eta: 1 day, 23:40:46 batch_cost: 2.0273 data_cost: 0.0012 ips: 27.6227 images/s [10/16 08:14:24] ppdet.engine INFO: Epoch: [159] [ 0/523] learning_rate: 0.181178 loss_vfl: 0.866315 loss_bbox: 0.282409 loss_dfl: 0.184845 loss: 1.323238 eta: 1 day, 23:40:58 batch_cost: 3.0957 data_cost: 0.7938 ips: 18.0893 images/s [10/16 08:15:13] ppdet.engine INFO: Epoch: [159] [ 20/523] learning_rate: 0.181099 loss_vfl: 0.852556 loss_bbox: 0.303514 loss_dfl: 0.194207 loss: 1.356819 eta: 1 day, 23:40:12 batch_cost: 2.3697 data_cost: 0.0015 ips: 23.6318 images/s [10/16 08:16:02] ppdet.engine INFO: Epoch: [159] [ 40/523] learning_rate: 0.181019 loss_vfl: 0.824910 loss_bbox: 0.288625 loss_dfl: 0.187197 loss: 1.318861 eta: 1 day, 23:39:26 batch_cost: 2.3417 data_cost: 0.0013 ips: 23.9142 images/s [10/16 08:16:50] ppdet.engine INFO: Epoch: [159] [ 60/523] learning_rate: 0.180939 loss_vfl: 0.827165 loss_bbox: 0.275718 loss_dfl: 0.189444 loss: 1.294280 eta: 1 day, 23:38:38 batch_cost: 2.2690 data_cost: 0.0013 ips: 24.6808 images/s [10/16 08:17:38] ppdet.engine INFO: Epoch: [159] [ 80/523] learning_rate: 0.180859 loss_vfl: 0.836695 loss_bbox: 0.286362 loss_dfl: 0.187812 loss: 1.305255 eta: 1 day, 23:37:51 batch_cost: 2.3114 data_cost: 0.0012 ips: 24.2280 images/s [10/16 08:18:27] ppdet.engine INFO: Epoch: [159] [100/523] learning_rate: 0.180780 loss_vfl: 0.842869 loss_bbox: 0.282518 loss_dfl: 0.192558 loss: 1.328359 eta: 1 day, 23:37:04 batch_cost: 2.3096 data_cost: 0.0012 ips: 24.2468 images/s [10/16 08:19:16] ppdet.engine INFO: Epoch: [159] [120/523] learning_rate: 0.180700 loss_vfl: 0.834383 loss_bbox: 0.290938 loss_dfl: 0.189522 loss: 1.307793 eta: 1 day, 23:36:19 batch_cost: 2.3779 data_cost: 0.0014 ips: 23.5497 images/s [10/16 08:20:07] ppdet.engine INFO: Epoch: [159] [140/523] learning_rate: 0.180620 loss_vfl: 0.843106 loss_bbox: 0.304891 loss_dfl: 0.192169 loss: 1.348286 eta: 1 day, 23:35:33 batch_cost: 2.3992 data_cost: 0.0026 ips: 23.3412 images/s [10/16 08:20:58] ppdet.engine INFO: Epoch: [159] [160/523] learning_rate: 0.180541 loss_vfl: 0.844537 loss_bbox: 0.288337 loss_dfl: 0.186839 loss: 1.310976 eta: 1 day, 23:34:48 batch_cost: 2.4188 data_cost: 0.0037 ips: 23.1524 images/s [10/16 08:21:47] ppdet.engine INFO: Epoch: [159] [180/523] learning_rate: 0.180461 loss_vfl: 0.852403 loss_bbox: 0.269203 loss_dfl: 0.179477 loss: 1.288732 eta: 1 day, 23:34:03 batch_cost: 2.3811 data_cost: 0.0013 ips: 23.5185 images/s [10/16 08:22:38] ppdet.engine INFO: Epoch: [159] [200/523] learning_rate: 0.180381 loss_vfl: 0.826425 loss_bbox: 0.291525 loss_dfl: 0.190550 loss: 1.331443 eta: 1 day, 23:33:18 batch_cost: 2.4230 data_cost: 0.0013 ips: 23.1119 images/s [10/16 08:23:28] ppdet.engine INFO: Epoch: [159] [220/523] learning_rate: 0.180301 loss_vfl: 0.828150 loss_bbox: 0.311334 loss_dfl: 0.197505 loss: 1.348103 eta: 1 day, 23:32:32 batch_cost: 2.3740 data_cost: 0.0013 ips: 23.5890 images/s [10/16 08:24:17] ppdet.engine INFO: Epoch: [159] [240/523] learning_rate: 0.180222 loss_vfl: 0.829904 loss_bbox: 0.294015 loss_dfl: 0.194145 loss: 1.327184 eta: 1 day, 23:31:46 batch_cost: 2.3564 data_cost: 0.0013 ips: 23.7646 images/s [10/16 08:25:06] ppdet.engine INFO: Epoch: [159] [260/523] learning_rate: 0.180142 loss_vfl: 0.839185 loss_bbox: 0.289520 loss_dfl: 0.182632 loss: 1.280062 eta: 1 day, 23:31:00 batch_cost: 2.3331 data_cost: 0.0020 ips: 24.0026 images/s [10/16 08:25:57] ppdet.engine INFO: Epoch: [159] [280/523] learning_rate: 0.180062 loss_vfl: 0.847780 loss_bbox: 0.280889 loss_dfl: 0.188206 loss: 1.346640 eta: 1 day, 23:30:15 batch_cost: 2.4212 data_cost: 0.0012 ips: 23.1291 images/s [10/16 08:26:48] ppdet.engine INFO: Epoch: [159] [300/523] learning_rate: 0.179983 loss_vfl: 0.840183 loss_bbox: 0.264749 loss_dfl: 0.176756 loss: 1.292188 eta: 1 day, 23:29:30 batch_cost: 2.4288 data_cost: 0.0012 ips: 23.0562 images/s [10/16 08:27:38] ppdet.engine INFO: Epoch: [159] [320/523] learning_rate: 0.179903 loss_vfl: 0.822317 loss_bbox: 0.305864 loss_dfl: 0.198149 loss: 1.326757 eta: 1 day, 23:28:44 batch_cost: 2.3604 data_cost: 0.0013 ips: 23.7247 images/s [10/16 08:28:29] ppdet.engine INFO: Epoch: [159] [340/523] learning_rate: 0.179823 loss_vfl: 0.823942 loss_bbox: 0.286036 loss_dfl: 0.190405 loss: 1.308294 eta: 1 day, 23:27:59 batch_cost: 2.4377 data_cost: 0.0016 ips: 22.9724 images/s [10/16 08:29:19] ppdet.engine INFO: Epoch: [159] [360/523] learning_rate: 0.179744 loss_vfl: 0.838706 loss_bbox: 0.289421 loss_dfl: 0.190356 loss: 1.328131 eta: 1 day, 23:27:14 batch_cost: 2.4019 data_cost: 0.0013 ips: 23.3149 images/s [10/16 08:30:07] ppdet.engine INFO: Epoch: [159] [380/523] learning_rate: 0.179664 loss_vfl: 0.841130 loss_bbox: 0.299058 loss_dfl: 0.193108 loss: 1.318247 eta: 1 day, 23:26:27 batch_cost: 2.2868 data_cost: 0.0012 ips: 24.4884 images/s [10/16 08:30:57] ppdet.engine INFO: Epoch: [159] [400/523] learning_rate: 0.179584 loss_vfl: 0.842866 loss_bbox: 0.299351 loss_dfl: 0.195117 loss: 1.342355 eta: 1 day, 23:25:41 batch_cost: 2.3935 data_cost: 0.0013 ips: 23.3966 images/s [10/16 08:31:47] ppdet.engine INFO: Epoch: [159] [420/523] learning_rate: 0.179505 loss_vfl: 0.842860 loss_bbox: 0.296488 loss_dfl: 0.191488 loss: 1.331498 eta: 1 day, 23:24:55 batch_cost: 2.3564 data_cost: 0.0012 ips: 23.7649 images/s [10/16 08:32:37] ppdet.engine INFO: Epoch: [159] [440/523] learning_rate: 0.179425 loss_vfl: 0.861603 loss_bbox: 0.269549 loss_dfl: 0.179299 loss: 1.307617 eta: 1 day, 23:24:09 batch_cost: 2.3691 data_cost: 0.0013 ips: 23.6376 images/s [10/16 08:33:26] ppdet.engine INFO: Epoch: [159] [460/523] learning_rate: 0.179345 loss_vfl: 0.864055 loss_bbox: 0.289980 loss_dfl: 0.193884 loss: 1.339835 eta: 1 day, 23:23:23 batch_cost: 2.3605 data_cost: 0.0019 ips: 23.7242 images/s [10/16 08:34:15] ppdet.engine INFO: Epoch: [159] [480/523] learning_rate: 0.179266 loss_vfl: 0.861459 loss_bbox: 0.297127 loss_dfl: 0.192404 loss: 1.332047 eta: 1 day, 23:22:36 batch_cost: 2.3047 data_cost: 0.0012 ips: 24.2984 images/s [10/16 08:35:03] ppdet.engine INFO: Epoch: [159] [500/523] learning_rate: 0.179186 loss_vfl: 0.846374 loss_bbox: 0.294764 loss_dfl: 0.194980 loss: 1.323352 eta: 1 day, 23:21:50 batch_cost: 2.3120 data_cost: 0.0012 ips: 24.2216 images/s [10/16 08:35:47] ppdet.engine INFO: Epoch: [159] [520/523] learning_rate: 0.179106 loss_vfl: 0.849983 loss_bbox: 0.291047 loss_dfl: 0.185897 loss: 1.327122 eta: 1 day, 23:20:59 batch_cost: 2.1179 data_cost: 0.0013 ips: 26.4410 images/s [10/16 08:35:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 08:35:56] ppdet.engine INFO: Eval iter: 0 [10/16 08:36:34] ppdet.engine INFO: Eval iter: 100 [10/16 08:36:55] ppdet.engine INFO: Eval iter: 200 [10/16 08:37:15] ppdet.engine INFO: Eval iter: 300 [10/16 08:37:35] ppdet.engine INFO: Eval iter: 400 [10/16 08:37:56] ppdet.engine INFO: Eval iter: 500 [10/16 08:38:16] ppdet.engine INFO: Eval iter: 600 [10/16 08:38:36] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.02s) creating index... index created! [10/16 08:38:37] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.99s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.11s). Accumulating evaluation results... DONE (t=19.10s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.350 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.506 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 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 ] = 0.558 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 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 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 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.743 [10/16 08:40:45] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.113432498486596 [10/16 08:40:45] ppdet.engine INFO: Best test bbox ap is 0.350. [10/16 08:40:45] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 08:40:47] ppdet.engine INFO: Epoch: [160] [ 0/523] learning_rate: 0.179094 loss_vfl: 0.856217 loss_bbox: 0.296722 loss_dfl: 0.191372 loss: 1.329687 eta: 1 day, 23:20:51 batch_cost: 2.0472 data_cost: 0.0013 ips: 27.3539 images/s [10/16 08:41:36] ppdet.engine INFO: Epoch: [160] [ 20/523] learning_rate: 0.179015 loss_vfl: 0.833937 loss_bbox: 0.289173 loss_dfl: 0.189542 loss: 1.320570 eta: 1 day, 23:20:05 batch_cost: 2.3462 data_cost: 0.0014 ips: 23.8686 images/s [10/16 08:42:26] ppdet.engine INFO: Epoch: [160] [ 40/523] learning_rate: 0.178935 loss_vfl: 0.839731 loss_bbox: 0.299688 loss_dfl: 0.181698 loss: 1.311536 eta: 1 day, 23:19:19 batch_cost: 2.3657 data_cost: 0.0023 ips: 23.6721 images/s [10/16 08:43:15] ppdet.engine INFO: Epoch: [160] [ 60/523] learning_rate: 0.178855 loss_vfl: 0.827348 loss_bbox: 0.305988 loss_dfl: 0.201311 loss: 1.348863 eta: 1 day, 23:18:33 batch_cost: 2.3354 data_cost: 0.0013 ips: 23.9793 images/s [10/16 08:44:05] ppdet.engine INFO: Epoch: [160] [ 80/523] learning_rate: 0.178776 loss_vfl: 0.806396 loss_bbox: 0.297195 loss_dfl: 0.189846 loss: 1.298142 eta: 1 day, 23:17:47 batch_cost: 2.4016 data_cost: 0.0013 ips: 23.3174 images/s [10/16 08:44:55] ppdet.engine INFO: Epoch: [160] [100/523] learning_rate: 0.178696 loss_vfl: 0.810546 loss_bbox: 0.292316 loss_dfl: 0.191572 loss: 1.315005 eta: 1 day, 23:17:01 batch_cost: 2.3462 data_cost: 0.0013 ips: 23.8679 images/s [10/16 08:45:43] ppdet.engine INFO: Epoch: [160] [120/523] learning_rate: 0.178616 loss_vfl: 0.834634 loss_bbox: 0.282918 loss_dfl: 0.190955 loss: 1.332603 eta: 1 day, 23:16:14 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2311 images/s [10/16 08:46:33] ppdet.engine INFO: Epoch: [160] [140/523] learning_rate: 0.178537 loss_vfl: 0.854092 loss_bbox: 0.276844 loss_dfl: 0.183606 loss: 1.293650 eta: 1 day, 23:15:28 batch_cost: 2.3696 data_cost: 0.0024 ips: 23.6330 images/s [10/16 08:47:22] ppdet.engine INFO: Epoch: [160] [160/523] learning_rate: 0.178457 loss_vfl: 0.830057 loss_bbox: 0.291081 loss_dfl: 0.195937 loss: 1.321891 eta: 1 day, 23:14:43 batch_cost: 2.3814 data_cost: 0.0013 ips: 23.5159 images/s [10/16 08:48:12] ppdet.engine INFO: Epoch: [160] [180/523] learning_rate: 0.178378 loss_vfl: 0.833062 loss_bbox: 0.292870 loss_dfl: 0.195522 loss: 1.315719 eta: 1 day, 23:13:57 batch_cost: 2.3770 data_cost: 0.0013 ips: 23.5591 images/s [10/16 08:49:02] ppdet.engine INFO: Epoch: [160] [200/523] learning_rate: 0.178298 loss_vfl: 0.857964 loss_bbox: 0.287293 loss_dfl: 0.191931 loss: 1.318800 eta: 1 day, 23:13:11 batch_cost: 2.3554 data_cost: 0.0014 ips: 23.7749 images/s [10/16 08:49:51] ppdet.engine INFO: Epoch: [160] [220/523] learning_rate: 0.178218 loss_vfl: 0.847225 loss_bbox: 0.299578 loss_dfl: 0.193968 loss: 1.334679 eta: 1 day, 23:12:25 batch_cost: 2.3852 data_cost: 0.0012 ips: 23.4785 images/s [10/16 08:50:40] ppdet.engine INFO: Epoch: [160] [240/523] learning_rate: 0.178139 loss_vfl: 0.846215 loss_bbox: 0.294480 loss_dfl: 0.191534 loss: 1.327746 eta: 1 day, 23:11:39 batch_cost: 2.3133 data_cost: 0.0013 ips: 24.2077 images/s [10/16 08:51:29] ppdet.engine INFO: Epoch: [160] [260/523] learning_rate: 0.178059 loss_vfl: 0.826661 loss_bbox: 0.285020 loss_dfl: 0.184651 loss: 1.303427 eta: 1 day, 23:10:52 batch_cost: 2.3434 data_cost: 0.0012 ips: 23.8972 images/s [10/16 08:52:19] ppdet.engine INFO: Epoch: [160] [280/523] learning_rate: 0.177980 loss_vfl: 0.836491 loss_bbox: 0.291522 loss_dfl: 0.188755 loss: 1.308726 eta: 1 day, 23:10:07 batch_cost: 2.3869 data_cost: 0.0012 ips: 23.4615 images/s [10/16 08:53:08] ppdet.engine INFO: Epoch: [160] [300/523] learning_rate: 0.177900 loss_vfl: 0.840523 loss_bbox: 0.264697 loss_dfl: 0.181566 loss: 1.295520 eta: 1 day, 23:09:21 batch_cost: 2.3709 data_cost: 0.0012 ips: 23.6193 images/s [10/16 08:53:58] ppdet.engine INFO: Epoch: [160] [320/523] learning_rate: 0.177820 loss_vfl: 0.848561 loss_bbox: 0.297302 loss_dfl: 0.194404 loss: 1.349276 eta: 1 day, 23:08:35 batch_cost: 2.3521 data_cost: 0.0012 ips: 23.8089 images/s [10/16 08:54:48] ppdet.engine INFO: Epoch: [160] [340/523] learning_rate: 0.177741 loss_vfl: 0.841932 loss_bbox: 0.287420 loss_dfl: 0.189748 loss: 1.327254 eta: 1 day, 23:07:49 batch_cost: 2.3875 data_cost: 0.0021 ips: 23.4553 images/s [10/16 08:55:39] ppdet.engine INFO: Epoch: [160] [360/523] learning_rate: 0.177661 loss_vfl: 0.841554 loss_bbox: 0.305105 loss_dfl: 0.198387 loss: 1.349834 eta: 1 day, 23:07:04 batch_cost: 2.4260 data_cost: 0.0021 ips: 23.0837 images/s [10/16 08:56:28] ppdet.engine INFO: Epoch: [160] [380/523] learning_rate: 0.177582 loss_vfl: 0.850028 loss_bbox: 0.297955 loss_dfl: 0.195174 loss: 1.351957 eta: 1 day, 23:06:18 batch_cost: 2.3473 data_cost: 0.0012 ips: 23.8569 images/s [10/16 08:57:17] ppdet.engine INFO: Epoch: [160] [400/523] learning_rate: 0.177502 loss_vfl: 0.872873 loss_bbox: 0.294122 loss_dfl: 0.191624 loss: 1.349109 eta: 1 day, 23:05:32 batch_cost: 2.3583 data_cost: 0.0012 ips: 23.7463 images/s [10/16 08:58:06] ppdet.engine INFO: Epoch: [160] [420/523] learning_rate: 0.177422 loss_vfl: 0.842405 loss_bbox: 0.294730 loss_dfl: 0.193717 loss: 1.333057 eta: 1 day, 23:04:46 batch_cost: 2.3560 data_cost: 0.0012 ips: 23.7689 images/s [10/16 08:58:55] ppdet.engine INFO: Epoch: [160] [440/523] learning_rate: 0.177343 loss_vfl: 0.837140 loss_bbox: 0.297897 loss_dfl: 0.194472 loss: 1.309731 eta: 1 day, 23:03:59 batch_cost: 2.3048 data_cost: 0.0013 ips: 24.2973 images/s [10/16 08:59:43] ppdet.engine INFO: Epoch: [160] [460/523] learning_rate: 0.177263 loss_vfl: 0.849116 loss_bbox: 0.293575 loss_dfl: 0.191254 loss: 1.317177 eta: 1 day, 23:03:12 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1268 images/s [10/16 09:00:31] ppdet.engine INFO: Epoch: [160] [480/523] learning_rate: 0.177184 loss_vfl: 0.851317 loss_bbox: 0.283783 loss_dfl: 0.187927 loss: 1.309480 eta: 1 day, 23:02:25 batch_cost: 2.2605 data_cost: 0.0013 ips: 24.7738 images/s [10/16 09:01:20] ppdet.engine INFO: Epoch: [160] [500/523] learning_rate: 0.177104 loss_vfl: 0.850439 loss_bbox: 0.286752 loss_dfl: 0.187085 loss: 1.317153 eta: 1 day, 23:01:38 batch_cost: 2.3393 data_cost: 0.0012 ips: 23.9384 images/s [10/16 09:02:02] ppdet.engine INFO: Epoch: [160] [520/523] learning_rate: 0.177025 loss_vfl: 0.841013 loss_bbox: 0.285335 loss_dfl: 0.193661 loss: 1.320488 eta: 1 day, 23:00:47 batch_cost: 2.0311 data_cost: 0.0012 ips: 27.5718 images/s [10/16 09:02:34] ppdet.engine INFO: Epoch: [161] [ 0/523] learning_rate: 0.177013 loss_vfl: 0.841013 loss_bbox: 0.294490 loss_dfl: 0.193111 loss: 1.333983 eta: 1 day, 23:00:57 batch_cost: 3.0591 data_cost: 0.5248 ips: 18.3058 images/s [10/16 09:03:23] ppdet.engine INFO: Epoch: [161] [ 20/523] learning_rate: 0.176933 loss_vfl: 0.832754 loss_bbox: 0.287394 loss_dfl: 0.190823 loss: 1.327284 eta: 1 day, 23:00:11 batch_cost: 2.3096 data_cost: 0.0017 ips: 24.2467 images/s [10/16 09:04:12] ppdet.engine INFO: Epoch: [161] [ 40/523] learning_rate: 0.176853 loss_vfl: 0.822438 loss_bbox: 0.321340 loss_dfl: 0.199365 loss: 1.367580 eta: 1 day, 22:59:25 batch_cost: 2.3630 data_cost: 0.0015 ips: 23.6987 images/s [10/16 09:05:00] ppdet.engine INFO: Epoch: [161] [ 60/523] learning_rate: 0.176774 loss_vfl: 0.855658 loss_bbox: 0.304655 loss_dfl: 0.198220 loss: 1.362810 eta: 1 day, 22:58:37 batch_cost: 2.2689 data_cost: 0.0014 ips: 24.6812 images/s [10/16 09:05:50] ppdet.engine INFO: Epoch: [161] [ 80/523] learning_rate: 0.176694 loss_vfl: 0.826759 loss_bbox: 0.284846 loss_dfl: 0.191852 loss: 1.308799 eta: 1 day, 22:57:51 batch_cost: 2.3818 data_cost: 0.0020 ips: 23.5116 images/s [10/16 09:06:39] ppdet.engine INFO: Epoch: [161] [100/523] learning_rate: 0.176615 loss_vfl: 0.819480 loss_bbox: 0.283263 loss_dfl: 0.187536 loss: 1.296539 eta: 1 day, 22:57:05 batch_cost: 2.3485 data_cost: 0.0014 ips: 23.8455 images/s [10/16 09:07:28] ppdet.engine INFO: Epoch: [161] [120/523] learning_rate: 0.176535 loss_vfl: 0.823364 loss_bbox: 0.317763 loss_dfl: 0.198785 loss: 1.330809 eta: 1 day, 22:56:19 batch_cost: 2.3517 data_cost: 0.0019 ips: 23.8129 images/s [10/16 09:08:17] ppdet.engine INFO: Epoch: [161] [140/523] learning_rate: 0.176456 loss_vfl: 0.853975 loss_bbox: 0.281545 loss_dfl: 0.186491 loss: 1.323283 eta: 1 day, 22:55:32 batch_cost: 2.3083 data_cost: 0.0021 ips: 24.2606 images/s [10/16 09:09:07] ppdet.engine INFO: Epoch: [161] [160/523] learning_rate: 0.176376 loss_vfl: 0.825957 loss_bbox: 0.305186 loss_dfl: 0.192493 loss: 1.311112 eta: 1 day, 22:54:46 batch_cost: 2.3766 data_cost: 0.0038 ips: 23.5631 images/s [10/16 09:09:56] ppdet.engine INFO: Epoch: [161] [180/523] learning_rate: 0.176297 loss_vfl: 0.827622 loss_bbox: 0.288224 loss_dfl: 0.189091 loss: 1.331410 eta: 1 day, 22:54:00 batch_cost: 2.3675 data_cost: 0.0013 ips: 23.6535 images/s [10/16 09:10:45] ppdet.engine INFO: Epoch: [161] [200/523] learning_rate: 0.176217 loss_vfl: 0.832831 loss_bbox: 0.280534 loss_dfl: 0.193284 loss: 1.317318 eta: 1 day, 22:53:14 batch_cost: 2.3271 data_cost: 0.0026 ips: 24.0646 images/s [10/16 09:11:34] ppdet.engine INFO: Epoch: [161] [220/523] learning_rate: 0.176138 loss_vfl: 0.835640 loss_bbox: 0.302543 loss_dfl: 0.193402 loss: 1.321643 eta: 1 day, 22:52:28 batch_cost: 2.3501 data_cost: 0.0021 ips: 23.8293 images/s [10/16 09:12:25] ppdet.engine INFO: Epoch: [161] [240/523] learning_rate: 0.176058 loss_vfl: 0.845921 loss_bbox: 0.289322 loss_dfl: 0.196636 loss: 1.329834 eta: 1 day, 22:51:42 batch_cost: 2.4090 data_cost: 0.0013 ips: 23.2464 images/s [10/16 09:13:13] ppdet.engine INFO: Epoch: [161] [260/523] learning_rate: 0.175979 loss_vfl: 0.847362 loss_bbox: 0.286463 loss_dfl: 0.184881 loss: 1.310839 eta: 1 day, 22:50:55 batch_cost: 2.2941 data_cost: 0.0024 ips: 24.4105 images/s [10/16 09:14:03] ppdet.engine INFO: Epoch: [161] [280/523] learning_rate: 0.175899 loss_vfl: 0.842203 loss_bbox: 0.278841 loss_dfl: 0.190797 loss: 1.326395 eta: 1 day, 22:50:09 batch_cost: 2.3709 data_cost: 0.0021 ips: 23.6195 images/s [10/16 09:14:52] ppdet.engine INFO: Epoch: [161] [300/523] learning_rate: 0.175820 loss_vfl: 0.853716 loss_bbox: 0.273333 loss_dfl: 0.180349 loss: 1.318039 eta: 1 day, 22:49:24 batch_cost: 2.3658 data_cost: 0.0013 ips: 23.6711 images/s [10/16 09:15:41] ppdet.engine INFO: Epoch: [161] [320/523] learning_rate: 0.175740 loss_vfl: 0.830631 loss_bbox: 0.287249 loss_dfl: 0.187206 loss: 1.305893 eta: 1 day, 22:48:37 batch_cost: 2.3262 data_cost: 0.0013 ips: 24.0739 images/s [10/16 09:16:30] ppdet.engine INFO: Epoch: [161] [340/523] learning_rate: 0.175661 loss_vfl: 0.833125 loss_bbox: 0.283152 loss_dfl: 0.188133 loss: 1.309021 eta: 1 day, 22:47:51 batch_cost: 2.3457 data_cost: 0.0012 ips: 23.8732 images/s [10/16 09:17:21] ppdet.engine INFO: Epoch: [161] [360/523] learning_rate: 0.175581 loss_vfl: 0.844268 loss_bbox: 0.278122 loss_dfl: 0.185571 loss: 1.318701 eta: 1 day, 22:47:06 batch_cost: 2.4165 data_cost: 0.0025 ips: 23.1744 images/s [10/16 09:18:10] ppdet.engine INFO: Epoch: [161] [380/523] learning_rate: 0.175502 loss_vfl: 0.830538 loss_bbox: 0.300957 loss_dfl: 0.187523 loss: 1.331289 eta: 1 day, 22:46:20 batch_cost: 2.3805 data_cost: 0.0013 ips: 23.5249 images/s [10/16 09:18:59] ppdet.engine INFO: Epoch: [161] [400/523] learning_rate: 0.175422 loss_vfl: 0.837028 loss_bbox: 0.299177 loss_dfl: 0.191360 loss: 1.309555 eta: 1 day, 22:45:33 batch_cost: 2.3343 data_cost: 0.0012 ips: 23.9904 images/s [10/16 09:19:48] ppdet.engine INFO: Epoch: [161] [420/523] learning_rate: 0.175343 loss_vfl: 0.826920 loss_bbox: 0.290823 loss_dfl: 0.191413 loss: 1.338794 eta: 1 day, 22:44:47 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1314 images/s [10/16 09:20:37] ppdet.engine INFO: Epoch: [161] [440/523] learning_rate: 0.175263 loss_vfl: 0.827998 loss_bbox: 0.284265 loss_dfl: 0.186246 loss: 1.299691 eta: 1 day, 22:44:01 batch_cost: 2.3557 data_cost: 0.0012 ips: 23.7719 images/s [10/16 09:21:26] ppdet.engine INFO: Epoch: [161] [460/523] learning_rate: 0.175184 loss_vfl: 0.838891 loss_bbox: 0.301770 loss_dfl: 0.193542 loss: 1.328181 eta: 1 day, 22:43:14 batch_cost: 2.3209 data_cost: 0.0020 ips: 24.1283 images/s [10/16 09:22:15] ppdet.engine INFO: Epoch: [161] [480/523] learning_rate: 0.175104 loss_vfl: 0.841633 loss_bbox: 0.276928 loss_dfl: 0.184901 loss: 1.332132 eta: 1 day, 22:42:28 batch_cost: 2.3444 data_cost: 0.0013 ips: 23.8871 images/s [10/16 09:23:04] ppdet.engine INFO: Epoch: [161] [500/523] learning_rate: 0.175025 loss_vfl: 0.828330 loss_bbox: 0.276825 loss_dfl: 0.179799 loss: 1.298841 eta: 1 day, 22:41:41 batch_cost: 2.3482 data_cost: 0.0014 ips: 23.8484 images/s [10/16 09:23:46] ppdet.engine INFO: Epoch: [161] [520/523] learning_rate: 0.174945 loss_vfl: 0.845135 loss_bbox: 0.287528 loss_dfl: 0.190436 loss: 1.312017 eta: 1 day, 22:40:50 batch_cost: 2.0211 data_cost: 0.0016 ips: 27.7080 images/s [10/16 09:24:18] ppdet.engine INFO: Epoch: [162] [ 0/523] learning_rate: 0.174933 loss_vfl: 0.845988 loss_bbox: 0.287528 loss_dfl: 0.192094 loss: 1.312017 eta: 1 day, 22:41:00 batch_cost: 3.0716 data_cost: 0.4318 ips: 18.2313 images/s [10/16 09:25:11] ppdet.engine INFO: Epoch: [162] [ 20/523] learning_rate: 0.174854 loss_vfl: 0.827220 loss_bbox: 0.297045 loss_dfl: 0.190080 loss: 1.308198 eta: 1 day, 22:40:17 batch_cost: 2.5305 data_cost: 0.0021 ips: 22.1298 images/s [10/16 09:26:02] ppdet.engine INFO: Epoch: [162] [ 40/523] learning_rate: 0.174774 loss_vfl: 0.827340 loss_bbox: 0.293695 loss_dfl: 0.194758 loss: 1.312082 eta: 1 day, 22:39:32 batch_cost: 2.3918 data_cost: 0.0014 ips: 23.4132 images/s [10/16 09:26:52] ppdet.engine INFO: Epoch: [162] [ 60/523] learning_rate: 0.174695 loss_vfl: 0.832663 loss_bbox: 0.275927 loss_dfl: 0.182236 loss: 1.281026 eta: 1 day, 22:38:46 batch_cost: 2.4006 data_cost: 0.0016 ips: 23.3271 images/s [10/16 09:27:43] ppdet.engine INFO: Epoch: [162] [ 80/523] learning_rate: 0.174616 loss_vfl: 0.839136 loss_bbox: 0.273983 loss_dfl: 0.189092 loss: 1.304067 eta: 1 day, 22:38:02 batch_cost: 2.4356 data_cost: 0.0023 ips: 22.9921 images/s [10/16 09:28:33] ppdet.engine INFO: Epoch: [162] [100/523] learning_rate: 0.174536 loss_vfl: 0.837354 loss_bbox: 0.295627 loss_dfl: 0.188020 loss: 1.335968 eta: 1 day, 22:37:16 batch_cost: 2.3930 data_cost: 0.0020 ips: 23.4019 images/s [10/16 09:29:22] ppdet.engine INFO: Epoch: [162] [120/523] learning_rate: 0.174457 loss_vfl: 0.840946 loss_bbox: 0.289095 loss_dfl: 0.183615 loss: 1.318767 eta: 1 day, 22:36:30 batch_cost: 2.3614 data_cost: 0.0020 ips: 23.7151 images/s [10/16 09:30:12] ppdet.engine INFO: Epoch: [162] [140/523] learning_rate: 0.174377 loss_vfl: 0.842253 loss_bbox: 0.278500 loss_dfl: 0.186912 loss: 1.309311 eta: 1 day, 22:35:44 batch_cost: 2.3443 data_cost: 0.0013 ips: 23.8875 images/s [10/16 09:31:02] ppdet.engine INFO: Epoch: [162] [160/523] learning_rate: 0.174298 loss_vfl: 0.850423 loss_bbox: 0.315489 loss_dfl: 0.198131 loss: 1.355913 eta: 1 day, 22:34:59 batch_cost: 2.4154 data_cost: 0.0037 ips: 23.1845 images/s [10/16 09:31:55] ppdet.engine INFO: Epoch: [162] [180/523] learning_rate: 0.174218 loss_vfl: 0.846583 loss_bbox: 0.269609 loss_dfl: 0.181273 loss: 1.285137 eta: 1 day, 22:34:15 batch_cost: 2.4815 data_cost: 0.0024 ips: 22.5670 images/s [10/16 09:32:45] ppdet.engine INFO: Epoch: [162] [200/523] learning_rate: 0.174139 loss_vfl: 0.813578 loss_bbox: 0.303231 loss_dfl: 0.195609 loss: 1.327501 eta: 1 day, 22:33:30 batch_cost: 2.4178 data_cost: 0.0012 ips: 23.1611 images/s [10/16 09:33:36] ppdet.engine INFO: Epoch: [162] [220/523] learning_rate: 0.174060 loss_vfl: 0.837891 loss_bbox: 0.285326 loss_dfl: 0.195015 loss: 1.329697 eta: 1 day, 22:32:45 batch_cost: 2.4101 data_cost: 0.0012 ips: 23.2357 images/s [10/16 09:34:25] ppdet.engine INFO: Epoch: [162] [240/523] learning_rate: 0.173980 loss_vfl: 0.837341 loss_bbox: 0.301295 loss_dfl: 0.199628 loss: 1.337035 eta: 1 day, 22:31:59 batch_cost: 2.3601 data_cost: 0.0012 ips: 23.7274 images/s [10/16 09:35:16] ppdet.engine INFO: Epoch: [162] [260/523] learning_rate: 0.173901 loss_vfl: 0.847860 loss_bbox: 0.275319 loss_dfl: 0.182760 loss: 1.326458 eta: 1 day, 22:31:14 batch_cost: 2.4277 data_cost: 0.0034 ips: 23.0669 images/s [10/16 09:36:05] ppdet.engine INFO: Epoch: [162] [280/523] learning_rate: 0.173821 loss_vfl: 0.851361 loss_bbox: 0.274303 loss_dfl: 0.179341 loss: 1.327103 eta: 1 day, 22:30:28 batch_cost: 2.3717 data_cost: 0.0020 ips: 23.6117 images/s [10/16 09:36:57] ppdet.engine INFO: Epoch: [162] [300/523] learning_rate: 0.173742 loss_vfl: 0.838702 loss_bbox: 0.289266 loss_dfl: 0.188794 loss: 1.311042 eta: 1 day, 22:29:43 batch_cost: 2.4527 data_cost: 0.0019 ips: 22.8324 images/s [10/16 09:37:48] ppdet.engine INFO: Epoch: [162] [320/523] learning_rate: 0.173663 loss_vfl: 0.827177 loss_bbox: 0.287927 loss_dfl: 0.190949 loss: 1.315513 eta: 1 day, 22:28:59 batch_cost: 2.4584 data_cost: 0.0022 ips: 22.7787 images/s [10/16 09:38:38] ppdet.engine INFO: Epoch: [162] [340/523] learning_rate: 0.173583 loss_vfl: 0.858169 loss_bbox: 0.289913 loss_dfl: 0.195891 loss: 1.349714 eta: 1 day, 22:28:13 batch_cost: 2.3667 data_cost: 0.0013 ips: 23.6621 images/s [10/16 09:39:28] ppdet.engine INFO: Epoch: [162] [360/523] learning_rate: 0.173504 loss_vfl: 0.838565 loss_bbox: 0.272646 loss_dfl: 0.177941 loss: 1.301783 eta: 1 day, 22:27:27 batch_cost: 2.3740 data_cost: 0.0019 ips: 23.5890 images/s [10/16 09:40:16] ppdet.engine INFO: Epoch: [162] [380/523] learning_rate: 0.173424 loss_vfl: 0.819116 loss_bbox: 0.297559 loss_dfl: 0.186064 loss: 1.298101 eta: 1 day, 22:26:41 batch_cost: 2.3274 data_cost: 0.0019 ips: 24.0617 images/s [10/16 09:41:06] ppdet.engine INFO: Epoch: [162] [400/523] learning_rate: 0.173345 loss_vfl: 0.844105 loss_bbox: 0.298333 loss_dfl: 0.196457 loss: 1.346191 eta: 1 day, 22:25:55 batch_cost: 2.3824 data_cost: 0.0013 ips: 23.5059 images/s [10/16 09:41:54] ppdet.engine INFO: Epoch: [162] [420/523] learning_rate: 0.173266 loss_vfl: 0.828520 loss_bbox: 0.286363 loss_dfl: 0.187825 loss: 1.308073 eta: 1 day, 22:25:08 batch_cost: 2.2907 data_cost: 0.0012 ips: 24.4466 images/s [10/16 09:42:44] ppdet.engine INFO: Epoch: [162] [440/523] learning_rate: 0.173186 loss_vfl: 0.828929 loss_bbox: 0.298966 loss_dfl: 0.193218 loss: 1.316487 eta: 1 day, 22:24:22 batch_cost: 2.3715 data_cost: 0.0013 ips: 23.6142 images/s [10/16 09:43:35] ppdet.engine INFO: Epoch: [162] [460/523] learning_rate: 0.173107 loss_vfl: 0.853486 loss_bbox: 0.283842 loss_dfl: 0.188496 loss: 1.320667 eta: 1 day, 22:23:37 batch_cost: 2.4182 data_cost: 0.0012 ips: 23.1577 images/s [10/16 09:44:25] ppdet.engine INFO: Epoch: [162] [480/523] learning_rate: 0.173027 loss_vfl: 0.851831 loss_bbox: 0.297434 loss_dfl: 0.194715 loss: 1.348636 eta: 1 day, 22:22:51 batch_cost: 2.3708 data_cost: 0.0025 ips: 23.6204 images/s [10/16 09:45:13] ppdet.engine INFO: Epoch: [162] [500/523] learning_rate: 0.172948 loss_vfl: 0.857860 loss_bbox: 0.292442 loss_dfl: 0.194833 loss: 1.348482 eta: 1 day, 22:22:04 batch_cost: 2.3324 data_cost: 0.0021 ips: 24.0099 images/s [10/16 09:45:56] ppdet.engine INFO: Epoch: [162] [520/523] learning_rate: 0.172869 loss_vfl: 0.835848 loss_bbox: 0.293449 loss_dfl: 0.190351 loss: 1.334108 eta: 1 day, 22:21:13 batch_cost: 2.0424 data_cost: 0.0012 ips: 27.4188 images/s [10/16 09:46:25] ppdet.engine INFO: Epoch: [163] [ 0/523] learning_rate: 0.172857 loss_vfl: 0.829132 loss_bbox: 0.295605 loss_dfl: 0.198654 loss: 1.334108 eta: 1 day, 22:21:20 batch_cost: 2.8778 data_cost: 0.4971 ips: 19.4595 images/s [10/16 09:47:19] ppdet.engine INFO: Epoch: [163] [ 20/523] learning_rate: 0.172778 loss_vfl: 0.825505 loss_bbox: 0.273842 loss_dfl: 0.187820 loss: 1.285471 eta: 1 day, 22:20:38 batch_cost: 2.5974 data_cost: 0.0019 ips: 21.5597 images/s [10/16 09:48:11] ppdet.engine INFO: Epoch: [163] [ 40/523] learning_rate: 0.172698 loss_vfl: 0.840687 loss_bbox: 0.276116 loss_dfl: 0.181866 loss: 1.290135 eta: 1 day, 22:19:54 batch_cost: 2.5006 data_cost: 0.0012 ips: 22.3942 images/s [10/16 09:49:01] ppdet.engine INFO: Epoch: [163] [ 60/523] learning_rate: 0.172619 loss_vfl: 0.838731 loss_bbox: 0.295151 loss_dfl: 0.192910 loss: 1.329119 eta: 1 day, 22:19:09 batch_cost: 2.4154 data_cost: 0.0019 ips: 23.1848 images/s [10/16 09:49:52] ppdet.engine INFO: Epoch: [163] [ 80/523] learning_rate: 0.172540 loss_vfl: 0.843458 loss_bbox: 0.290079 loss_dfl: 0.195553 loss: 1.316919 eta: 1 day, 22:18:24 batch_cost: 2.4124 data_cost: 0.0012 ips: 23.2131 images/s [10/16 09:50:41] ppdet.engine INFO: Epoch: [163] [100/523] learning_rate: 0.172460 loss_vfl: 0.811524 loss_bbox: 0.285337 loss_dfl: 0.192611 loss: 1.292073 eta: 1 day, 22:17:38 batch_cost: 2.3338 data_cost: 0.0036 ips: 23.9954 images/s [10/16 09:51:31] ppdet.engine INFO: Epoch: [163] [120/523] learning_rate: 0.172381 loss_vfl: 0.843208 loss_bbox: 0.281231 loss_dfl: 0.190887 loss: 1.312946 eta: 1 day, 22:16:53 batch_cost: 2.4215 data_cost: 0.0029 ips: 23.1259 images/s [10/16 09:52:22] ppdet.engine INFO: Epoch: [163] [140/523] learning_rate: 0.172302 loss_vfl: 0.829243 loss_bbox: 0.280574 loss_dfl: 0.187005 loss: 1.298383 eta: 1 day, 22:16:07 batch_cost: 2.4183 data_cost: 0.0014 ips: 23.1566 images/s [10/16 09:53:12] ppdet.engine INFO: Epoch: [163] [160/523] learning_rate: 0.172222 loss_vfl: 0.858587 loss_bbox: 0.297211 loss_dfl: 0.190808 loss: 1.339929 eta: 1 day, 22:15:22 batch_cost: 2.4264 data_cost: 0.0026 ips: 23.0799 images/s [10/16 09:54:02] ppdet.engine INFO: Epoch: [163] [180/523] learning_rate: 0.172143 loss_vfl: 0.827888 loss_bbox: 0.288154 loss_dfl: 0.196399 loss: 1.327423 eta: 1 day, 22:14:37 batch_cost: 2.3670 data_cost: 0.0019 ips: 23.6586 images/s [10/16 09:54:53] ppdet.engine INFO: Epoch: [163] [200/523] learning_rate: 0.172064 loss_vfl: 0.825160 loss_bbox: 0.278914 loss_dfl: 0.182593 loss: 1.304558 eta: 1 day, 22:13:52 batch_cost: 2.4280 data_cost: 0.0025 ips: 23.0644 images/s [10/16 09:55:43] ppdet.engine INFO: Epoch: [163] [220/523] learning_rate: 0.171984 loss_vfl: 0.839618 loss_bbox: 0.294566 loss_dfl: 0.197397 loss: 1.342453 eta: 1 day, 22:13:07 batch_cost: 2.4243 data_cost: 0.0013 ips: 23.0998 images/s [10/16 09:56:33] ppdet.engine INFO: Epoch: [163] [240/523] learning_rate: 0.171905 loss_vfl: 0.845422 loss_bbox: 0.304132 loss_dfl: 0.197877 loss: 1.339627 eta: 1 day, 22:12:21 batch_cost: 2.3890 data_cost: 0.0045 ips: 23.4408 images/s [10/16 09:57:23] ppdet.engine INFO: Epoch: [163] [260/523] learning_rate: 0.171826 loss_vfl: 0.828627 loss_bbox: 0.271326 loss_dfl: 0.185390 loss: 1.308363 eta: 1 day, 22:11:35 batch_cost: 2.3710 data_cost: 0.0026 ips: 23.6184 images/s [10/16 09:58:13] ppdet.engine INFO: Epoch: [163] [280/523] learning_rate: 0.171746 loss_vfl: 0.840644 loss_bbox: 0.282072 loss_dfl: 0.190406 loss: 1.324247 eta: 1 day, 22:10:50 batch_cost: 2.4186 data_cost: 0.0018 ips: 23.1538 images/s [10/16 09:59:04] ppdet.engine INFO: Epoch: [163] [300/523] learning_rate: 0.171667 loss_vfl: 0.841137 loss_bbox: 0.267260 loss_dfl: 0.180821 loss: 1.310792 eta: 1 day, 22:10:05 batch_cost: 2.4139 data_cost: 0.0033 ips: 23.1992 images/s [10/16 09:59:53] ppdet.engine INFO: Epoch: [163] [320/523] learning_rate: 0.171588 loss_vfl: 0.837015 loss_bbox: 0.300266 loss_dfl: 0.189918 loss: 1.329006 eta: 1 day, 22:09:19 batch_cost: 2.3711 data_cost: 0.0020 ips: 23.6176 images/s [10/16 10:00:43] ppdet.engine INFO: Epoch: [163] [340/523] learning_rate: 0.171509 loss_vfl: 0.834092 loss_bbox: 0.273472 loss_dfl: 0.183935 loss: 1.294657 eta: 1 day, 22:08:33 batch_cost: 2.3922 data_cost: 0.0021 ips: 23.4099 images/s [10/16 10:01:35] ppdet.engine INFO: Epoch: [163] [360/523] learning_rate: 0.171429 loss_vfl: 0.833568 loss_bbox: 0.279091 loss_dfl: 0.182912 loss: 1.287300 eta: 1 day, 22:07:49 batch_cost: 2.4542 data_cost: 0.0021 ips: 22.8178 images/s [10/16 10:02:25] ppdet.engine INFO: Epoch: [163] [380/523] learning_rate: 0.171350 loss_vfl: 0.832412 loss_bbox: 0.278350 loss_dfl: 0.185132 loss: 1.291507 eta: 1 day, 22:07:04 batch_cost: 2.4095 data_cost: 0.0028 ips: 23.2414 images/s [10/16 10:03:16] ppdet.engine INFO: Epoch: [163] [400/523] learning_rate: 0.171271 loss_vfl: 0.828807 loss_bbox: 0.283944 loss_dfl: 0.187279 loss: 1.296513 eta: 1 day, 22:06:19 batch_cost: 2.4401 data_cost: 0.0035 ips: 22.9500 images/s [10/16 10:04:07] ppdet.engine INFO: Epoch: [163] [420/523] learning_rate: 0.171192 loss_vfl: 0.853813 loss_bbox: 0.289483 loss_dfl: 0.191037 loss: 1.309688 eta: 1 day, 22:05:35 batch_cost: 2.4629 data_cost: 0.0012 ips: 22.7377 images/s [10/16 10:04:58] ppdet.engine INFO: Epoch: [163] [440/523] learning_rate: 0.171112 loss_vfl: 0.841891 loss_bbox: 0.293355 loss_dfl: 0.191812 loss: 1.315842 eta: 1 day, 22:04:49 batch_cost: 2.4056 data_cost: 0.0033 ips: 23.2786 images/s [10/16 10:05:47] ppdet.engine INFO: Epoch: [163] [460/523] learning_rate: 0.171033 loss_vfl: 0.845687 loss_bbox: 0.282692 loss_dfl: 0.188719 loss: 1.321290 eta: 1 day, 22:04:03 batch_cost: 2.3780 data_cost: 0.0037 ips: 23.5491 images/s [10/16 10:06:39] ppdet.engine INFO: Epoch: [163] [480/523] learning_rate: 0.170954 loss_vfl: 0.858028 loss_bbox: 0.281770 loss_dfl: 0.186906 loss: 1.333381 eta: 1 day, 22:03:19 batch_cost: 2.4811 data_cost: 0.0018 ips: 22.5709 images/s [10/16 10:07:29] ppdet.engine INFO: Epoch: [163] [500/523] learning_rate: 0.170875 loss_vfl: 0.830888 loss_bbox: 0.287888 loss_dfl: 0.188155 loss: 1.316883 eta: 1 day, 22:02:33 batch_cost: 2.3657 data_cost: 0.0051 ips: 23.6717 images/s [10/16 10:08:12] ppdet.engine INFO: Epoch: [163] [520/523] learning_rate: 0.170795 loss_vfl: 0.842101 loss_bbox: 0.294633 loss_dfl: 0.189309 loss: 1.330644 eta: 1 day, 22:01:42 batch_cost: 2.0580 data_cost: 0.0023 ips: 27.2112 images/s [10/16 10:08:40] ppdet.engine INFO: Epoch: [164] [ 0/523] learning_rate: 0.170783 loss_vfl: 0.845386 loss_bbox: 0.285579 loss_dfl: 0.183711 loss: 1.315161 eta: 1 day, 22:01:50 batch_cost: 2.9379 data_cost: 0.5904 ips: 19.0610 images/s [10/16 10:09:37] ppdet.engine INFO: Epoch: [164] [ 20/523] learning_rate: 0.170704 loss_vfl: 0.845007 loss_bbox: 0.286641 loss_dfl: 0.188512 loss: 1.336711 eta: 1 day, 22:01:09 batch_cost: 2.6569 data_cost: 0.0017 ips: 21.0775 images/s [10/16 10:10:27] ppdet.engine INFO: Epoch: [164] [ 40/523] learning_rate: 0.170625 loss_vfl: 0.819386 loss_bbox: 0.276096 loss_dfl: 0.184549 loss: 1.282458 eta: 1 day, 22:00:24 batch_cost: 2.4231 data_cost: 0.0017 ips: 23.1107 images/s [10/16 10:11:17] ppdet.engine INFO: Epoch: [164] [ 60/523] learning_rate: 0.170546 loss_vfl: 0.815689 loss_bbox: 0.282251 loss_dfl: 0.183304 loss: 1.289750 eta: 1 day, 21:59:38 batch_cost: 2.3640 data_cost: 0.0019 ips: 23.6891 images/s [10/16 10:12:06] ppdet.engine INFO: Epoch: [164] [ 80/523] learning_rate: 0.170467 loss_vfl: 0.849351 loss_bbox: 0.275271 loss_dfl: 0.180680 loss: 1.275544 eta: 1 day, 21:58:52 batch_cost: 2.3646 data_cost: 0.0038 ips: 23.6824 images/s [10/16 10:12:57] ppdet.engine INFO: Epoch: [164] [100/523] learning_rate: 0.170387 loss_vfl: 0.830659 loss_bbox: 0.273617 loss_dfl: 0.186841 loss: 1.305024 eta: 1 day, 21:58:07 batch_cost: 2.4531 data_cost: 0.0013 ips: 22.8281 images/s [10/16 10:13:47] ppdet.engine INFO: Epoch: [164] [120/523] learning_rate: 0.170308 loss_vfl: 0.818379 loss_bbox: 0.286287 loss_dfl: 0.188892 loss: 1.302763 eta: 1 day, 21:57:22 batch_cost: 2.3781 data_cost: 0.0019 ips: 23.5484 images/s [10/16 10:14:36] ppdet.engine INFO: Epoch: [164] [140/523] learning_rate: 0.170229 loss_vfl: 0.815324 loss_bbox: 0.291380 loss_dfl: 0.194508 loss: 1.291393 eta: 1 day, 21:56:35 batch_cost: 2.3211 data_cost: 0.0028 ips: 24.1262 images/s [10/16 10:15:26] ppdet.engine INFO: Epoch: [164] [160/523] learning_rate: 0.170150 loss_vfl: 0.834211 loss_bbox: 0.263542 loss_dfl: 0.177991 loss: 1.282213 eta: 1 day, 21:55:49 batch_cost: 2.3980 data_cost: 0.0043 ips: 23.3528 images/s [10/16 10:16:16] ppdet.engine INFO: Epoch: [164] [180/523] learning_rate: 0.170070 loss_vfl: 0.844715 loss_bbox: 0.293769 loss_dfl: 0.197363 loss: 1.337716 eta: 1 day, 21:55:04 batch_cost: 2.3828 data_cost: 0.0021 ips: 23.5019 images/s [10/16 10:17:06] ppdet.engine INFO: Epoch: [164] [200/523] learning_rate: 0.169991 loss_vfl: 0.854526 loss_bbox: 0.293683 loss_dfl: 0.191141 loss: 1.325277 eta: 1 day, 21:54:18 batch_cost: 2.3826 data_cost: 0.0018 ips: 23.5041 images/s [10/16 10:17:55] ppdet.engine INFO: Epoch: [164] [220/523] learning_rate: 0.169912 loss_vfl: 0.843845 loss_bbox: 0.283784 loss_dfl: 0.185660 loss: 1.320547 eta: 1 day, 21:53:32 batch_cost: 2.3719 data_cost: 0.0018 ips: 23.6102 images/s [10/16 10:18:46] ppdet.engine INFO: Epoch: [164] [240/523] learning_rate: 0.169833 loss_vfl: 0.834982 loss_bbox: 0.284247 loss_dfl: 0.190214 loss: 1.332102 eta: 1 day, 21:52:47 batch_cost: 2.4229 data_cost: 0.0013 ips: 23.1130 images/s [10/16 10:19:35] ppdet.engine INFO: Epoch: [164] [260/523] learning_rate: 0.169754 loss_vfl: 0.849664 loss_bbox: 0.303542 loss_dfl: 0.186773 loss: 1.337135 eta: 1 day, 21:52:00 batch_cost: 2.3245 data_cost: 0.0013 ips: 24.0912 images/s [10/16 10:20:25] ppdet.engine INFO: Epoch: [164] [280/523] learning_rate: 0.169675 loss_vfl: 0.834004 loss_bbox: 0.283470 loss_dfl: 0.183180 loss: 1.306166 eta: 1 day, 21:51:15 batch_cost: 2.3883 data_cost: 0.0019 ips: 23.4479 images/s [10/16 10:21:14] ppdet.engine INFO: Epoch: [164] [300/523] learning_rate: 0.169595 loss_vfl: 0.838308 loss_bbox: 0.284713 loss_dfl: 0.182105 loss: 1.311217 eta: 1 day, 21:50:28 batch_cost: 2.3429 data_cost: 0.0015 ips: 23.9017 images/s [10/16 10:22:03] ppdet.engine INFO: Epoch: [164] [320/523] learning_rate: 0.169516 loss_vfl: 0.830247 loss_bbox: 0.292097 loss_dfl: 0.188860 loss: 1.302417 eta: 1 day, 21:49:42 batch_cost: 2.3613 data_cost: 0.0020 ips: 23.7157 images/s [10/16 10:22:54] ppdet.engine INFO: Epoch: [164] [340/523] learning_rate: 0.169437 loss_vfl: 0.825824 loss_bbox: 0.316297 loss_dfl: 0.200251 loss: 1.352074 eta: 1 day, 21:48:57 batch_cost: 2.4162 data_cost: 0.0013 ips: 23.1771 images/s [10/16 10:23:44] ppdet.engine INFO: Epoch: [164] [360/523] learning_rate: 0.169358 loss_vfl: 0.833814 loss_bbox: 0.264326 loss_dfl: 0.180854 loss: 1.268523 eta: 1 day, 21:48:11 batch_cost: 2.3918 data_cost: 0.0020 ips: 23.4130 images/s [10/16 10:24:35] ppdet.engine INFO: Epoch: [164] [380/523] learning_rate: 0.169279 loss_vfl: 0.856729 loss_bbox: 0.299154 loss_dfl: 0.189970 loss: 1.329191 eta: 1 day, 21:47:27 batch_cost: 2.4420 data_cost: 0.0013 ips: 22.9319 images/s [10/16 10:25:24] ppdet.engine INFO: Epoch: [164] [400/523] learning_rate: 0.169200 loss_vfl: 0.838469 loss_bbox: 0.292569 loss_dfl: 0.193175 loss: 1.327223 eta: 1 day, 21:46:41 batch_cost: 2.3746 data_cost: 0.0033 ips: 23.5828 images/s [10/16 10:26:13] ppdet.engine INFO: Epoch: [164] [420/523] learning_rate: 0.169121 loss_vfl: 0.817732 loss_bbox: 0.303213 loss_dfl: 0.189982 loss: 1.335001 eta: 1 day, 21:45:54 batch_cost: 2.3232 data_cost: 0.0025 ips: 24.1052 images/s [10/16 10:27:02] ppdet.engine INFO: Epoch: [164] [440/523] learning_rate: 0.169041 loss_vfl: 0.838035 loss_bbox: 0.302246 loss_dfl: 0.197996 loss: 1.338975 eta: 1 day, 21:45:08 batch_cost: 2.3533 data_cost: 0.0022 ips: 23.7961 images/s [10/16 10:27:52] ppdet.engine INFO: Epoch: [164] [460/523] learning_rate: 0.168962 loss_vfl: 0.828781 loss_bbox: 0.276891 loss_dfl: 0.185099 loss: 1.325346 eta: 1 day, 21:44:22 batch_cost: 2.3621 data_cost: 0.0025 ips: 23.7081 images/s [10/16 10:28:42] ppdet.engine INFO: Epoch: [164] [480/523] learning_rate: 0.168883 loss_vfl: 0.840794 loss_bbox: 0.291990 loss_dfl: 0.184856 loss: 1.307034 eta: 1 day, 21:43:36 batch_cost: 2.3767 data_cost: 0.0029 ips: 23.5618 images/s [10/16 10:29:31] ppdet.engine INFO: Epoch: [164] [500/523] learning_rate: 0.168804 loss_vfl: 0.822076 loss_bbox: 0.276202 loss_dfl: 0.187492 loss: 1.293343 eta: 1 day, 21:42:50 batch_cost: 2.3574 data_cost: 0.0024 ips: 23.7555 images/s [10/16 10:30:14] ppdet.engine INFO: Epoch: [164] [520/523] learning_rate: 0.168725 loss_vfl: 0.833061 loss_bbox: 0.285552 loss_dfl: 0.184751 loss: 1.313201 eta: 1 day, 21:41:58 batch_cost: 2.0480 data_cost: 0.0012 ips: 27.3440 images/s [10/16 10:30:41] ppdet.engine INFO: Epoch: [165] [ 0/523] learning_rate: 0.168713 loss_vfl: 0.833061 loss_bbox: 0.285552 loss_dfl: 0.184751 loss: 1.309882 eta: 1 day, 21:42:04 batch_cost: 2.8330 data_cost: 0.5796 ips: 19.7672 images/s [10/16 10:31:36] ppdet.engine INFO: Epoch: [165] [ 20/523] learning_rate: 0.168634 loss_vfl: 0.837771 loss_bbox: 0.289799 loss_dfl: 0.187532 loss: 1.312072 eta: 1 day, 21:41:22 batch_cost: 2.6087 data_cost: 0.0014 ips: 21.4664 images/s [10/16 10:32:27] ppdet.engine INFO: Epoch: [165] [ 40/523] learning_rate: 0.168555 loss_vfl: 0.833510 loss_bbox: 0.290359 loss_dfl: 0.185830 loss: 1.318063 eta: 1 day, 21:40:37 batch_cost: 2.4388 data_cost: 0.0013 ips: 22.9620 images/s [10/16 10:33:19] ppdet.engine INFO: Epoch: [165] [ 60/523] learning_rate: 0.168476 loss_vfl: 0.821098 loss_bbox: 0.295808 loss_dfl: 0.189027 loss: 1.313295 eta: 1 day, 21:39:53 batch_cost: 2.4654 data_cost: 0.0036 ips: 22.7142 images/s [10/16 10:34:08] ppdet.engine INFO: Epoch: [165] [ 80/523] learning_rate: 0.168397 loss_vfl: 0.830534 loss_bbox: 0.286982 loss_dfl: 0.193690 loss: 1.311703 eta: 1 day, 21:39:07 batch_cost: 2.3736 data_cost: 0.0032 ips: 23.5930 images/s [10/16 10:34:58] ppdet.engine INFO: Epoch: [165] [100/523] learning_rate: 0.168318 loss_vfl: 0.829597 loss_bbox: 0.287658 loss_dfl: 0.191544 loss: 1.331564 eta: 1 day, 21:38:22 batch_cost: 2.3917 data_cost: 0.0019 ips: 23.4141 images/s [10/16 10:35:48] ppdet.engine INFO: Epoch: [165] [120/523] learning_rate: 0.168239 loss_vfl: 0.841494 loss_bbox: 0.287925 loss_dfl: 0.185849 loss: 1.314849 eta: 1 day, 21:37:35 batch_cost: 2.3646 data_cost: 0.0013 ips: 23.6828 images/s [10/16 10:36:37] ppdet.engine INFO: Epoch: [165] [140/523] learning_rate: 0.168159 loss_vfl: 0.824038 loss_bbox: 0.296969 loss_dfl: 0.192010 loss: 1.307456 eta: 1 day, 21:36:49 batch_cost: 2.3668 data_cost: 0.0013 ips: 23.6609 images/s [10/16 10:37:27] ppdet.engine INFO: Epoch: [165] [160/523] learning_rate: 0.168080 loss_vfl: 0.829021 loss_bbox: 0.287518 loss_dfl: 0.186083 loss: 1.295957 eta: 1 day, 21:36:04 batch_cost: 2.3870 data_cost: 0.0014 ips: 23.4608 images/s [10/16 10:38:18] ppdet.engine INFO: Epoch: [165] [180/523] learning_rate: 0.168001 loss_vfl: 0.838564 loss_bbox: 0.281929 loss_dfl: 0.188832 loss: 1.313779 eta: 1 day, 21:35:19 batch_cost: 2.4569 data_cost: 0.0012 ips: 22.7926 images/s [10/16 10:39:08] ppdet.engine INFO: Epoch: [165] [200/523] learning_rate: 0.167922 loss_vfl: 0.827241 loss_bbox: 0.276746 loss_dfl: 0.186027 loss: 1.295091 eta: 1 day, 21:34:33 batch_cost: 2.3704 data_cost: 0.0014 ips: 23.6249 images/s [10/16 10:39:58] ppdet.engine INFO: Epoch: [165] [220/523] learning_rate: 0.167843 loss_vfl: 0.822210 loss_bbox: 0.274190 loss_dfl: 0.182960 loss: 1.279953 eta: 1 day, 21:33:47 batch_cost: 2.3800 data_cost: 0.0017 ips: 23.5294 images/s [10/16 10:40:49] ppdet.engine INFO: Epoch: [165] [240/523] learning_rate: 0.167764 loss_vfl: 0.835398 loss_bbox: 0.283057 loss_dfl: 0.182788 loss: 1.302088 eta: 1 day, 21:33:03 batch_cost: 2.4631 data_cost: 0.0023 ips: 22.7353 images/s [10/16 10:41:40] ppdet.engine INFO: Epoch: [165] [260/523] learning_rate: 0.167685 loss_vfl: 0.825386 loss_bbox: 0.295078 loss_dfl: 0.192483 loss: 1.296222 eta: 1 day, 21:32:18 batch_cost: 2.4255 data_cost: 0.0019 ips: 23.0881 images/s [10/16 10:42:31] ppdet.engine INFO: Epoch: [165] [280/523] learning_rate: 0.167606 loss_vfl: 0.850669 loss_bbox: 0.284134 loss_dfl: 0.182061 loss: 1.306414 eta: 1 day, 21:31:33 batch_cost: 2.4508 data_cost: 0.0023 ips: 22.8499 images/s [10/16 10:43:23] ppdet.engine INFO: Epoch: [165] [300/523] learning_rate: 0.167527 loss_vfl: 0.844192 loss_bbox: 0.294291 loss_dfl: 0.193457 loss: 1.342197 eta: 1 day, 21:30:49 batch_cost: 2.4683 data_cost: 0.0053 ips: 22.6881 images/s [10/16 10:44:14] ppdet.engine INFO: Epoch: [165] [320/523] learning_rate: 0.167448 loss_vfl: 0.825439 loss_bbox: 0.303669 loss_dfl: 0.197706 loss: 1.325435 eta: 1 day, 21:30:04 batch_cost: 2.4134 data_cost: 0.0015 ips: 23.2039 images/s [10/16 10:45:02] ppdet.engine INFO: Epoch: [165] [340/523] learning_rate: 0.167369 loss_vfl: 0.846749 loss_bbox: 0.300111 loss_dfl: 0.196791 loss: 1.356990 eta: 1 day, 21:29:17 batch_cost: 2.3236 data_cost: 0.0019 ips: 24.1010 images/s [10/16 10:45:53] ppdet.engine INFO: Epoch: [165] [360/523] learning_rate: 0.167290 loss_vfl: 0.833718 loss_bbox: 0.290788 loss_dfl: 0.188989 loss: 1.318045 eta: 1 day, 21:28:31 batch_cost: 2.3890 data_cost: 0.0020 ips: 23.4407 images/s [10/16 10:46:43] ppdet.engine INFO: Epoch: [165] [380/523] learning_rate: 0.167211 loss_vfl: 0.840643 loss_bbox: 0.290838 loss_dfl: 0.182212 loss: 1.308449 eta: 1 day, 21:27:46 batch_cost: 2.3977 data_cost: 0.0021 ips: 23.3557 images/s [10/16 10:47:33] ppdet.engine INFO: Epoch: [165] [400/523] learning_rate: 0.167132 loss_vfl: 0.834821 loss_bbox: 0.285739 loss_dfl: 0.200002 loss: 1.322274 eta: 1 day, 21:27:01 batch_cost: 2.4150 data_cost: 0.0012 ips: 23.1883 images/s [10/16 10:48:23] ppdet.engine INFO: Epoch: [165] [420/523] learning_rate: 0.167053 loss_vfl: 0.833646 loss_bbox: 0.279561 loss_dfl: 0.185318 loss: 1.300049 eta: 1 day, 21:26:15 batch_cost: 2.3748 data_cost: 0.0014 ips: 23.5814 images/s [10/16 10:49:11] ppdet.engine INFO: Epoch: [165] [440/523] learning_rate: 0.166974 loss_vfl: 0.830782 loss_bbox: 0.285135 loss_dfl: 0.180266 loss: 1.303565 eta: 1 day, 21:25:28 batch_cost: 2.3245 data_cost: 0.0021 ips: 24.0913 images/s [10/16 10:50:02] ppdet.engine INFO: Epoch: [165] [460/523] learning_rate: 0.166895 loss_vfl: 0.850415 loss_bbox: 0.281802 loss_dfl: 0.187691 loss: 1.308553 eta: 1 day, 21:24:43 batch_cost: 2.4153 data_cost: 0.0013 ips: 23.1859 images/s [10/16 10:50:52] ppdet.engine INFO: Epoch: [165] [480/523] learning_rate: 0.166816 loss_vfl: 0.838410 loss_bbox: 0.272839 loss_dfl: 0.186082 loss: 1.308352 eta: 1 day, 21:23:57 batch_cost: 2.3618 data_cost: 0.0015 ips: 23.7109 images/s [10/16 10:51:42] ppdet.engine INFO: Epoch: [165] [500/523] learning_rate: 0.166737 loss_vfl: 0.859758 loss_bbox: 0.296473 loss_dfl: 0.190678 loss: 1.336121 eta: 1 day, 21:23:11 batch_cost: 2.4020 data_cost: 0.0030 ips: 23.3138 images/s [10/16 10:52:25] ppdet.engine INFO: Epoch: [165] [520/523] learning_rate: 0.166658 loss_vfl: 0.842308 loss_bbox: 0.281269 loss_dfl: 0.184763 loss: 1.313753 eta: 1 day, 21:22:20 batch_cost: 2.0557 data_cost: 0.0013 ips: 27.2412 images/s [10/16 10:52:57] ppdet.engine INFO: Epoch: [166] [ 0/523] learning_rate: 0.166646 loss_vfl: 0.831159 loss_bbox: 0.281269 loss_dfl: 0.180143 loss: 1.283504 eta: 1 day, 21:22:29 batch_cost: 3.0450 data_cost: 0.4846 ips: 18.3910 images/s [10/16 10:53:46] ppdet.engine INFO: Epoch: [166] [ 20/523] learning_rate: 0.166567 loss_vfl: 0.837391 loss_bbox: 0.277526 loss_dfl: 0.185782 loss: 1.308960 eta: 1 day, 21:21:43 batch_cost: 2.3722 data_cost: 0.0013 ips: 23.6071 images/s [10/16 10:54:36] ppdet.engine INFO: Epoch: [166] [ 40/523] learning_rate: 0.166488 loss_vfl: 0.828645 loss_bbox: 0.297901 loss_dfl: 0.197058 loss: 1.320262 eta: 1 day, 21:20:57 batch_cost: 2.3735 data_cost: 0.0031 ips: 23.5936 images/s [10/16 10:55:27] ppdet.engine INFO: Epoch: [166] [ 60/523] learning_rate: 0.166409 loss_vfl: 0.816636 loss_bbox: 0.279381 loss_dfl: 0.184619 loss: 1.291157 eta: 1 day, 21:20:12 batch_cost: 2.4448 data_cost: 0.0013 ips: 22.9058 images/s [10/16 10:56:18] ppdet.engine INFO: Epoch: [166] [ 80/523] learning_rate: 0.166330 loss_vfl: 0.837011 loss_bbox: 0.273592 loss_dfl: 0.185068 loss: 1.281077 eta: 1 day, 21:19:27 batch_cost: 2.4313 data_cost: 0.0013 ips: 23.0325 images/s [10/16 10:57:08] ppdet.engine INFO: Epoch: [166] [100/523] learning_rate: 0.166251 loss_vfl: 0.836970 loss_bbox: 0.290168 loss_dfl: 0.185328 loss: 1.319524 eta: 1 day, 21:18:42 batch_cost: 2.3961 data_cost: 0.0018 ips: 23.3711 images/s [10/16 10:57:59] ppdet.engine INFO: Epoch: [166] [120/523] learning_rate: 0.166173 loss_vfl: 0.829131 loss_bbox: 0.288639 loss_dfl: 0.185529 loss: 1.295066 eta: 1 day, 21:17:56 batch_cost: 2.4084 data_cost: 0.0012 ips: 23.2516 images/s [10/16 10:58:48] ppdet.engine INFO: Epoch: [166] [140/523] learning_rate: 0.166094 loss_vfl: 0.823905 loss_bbox: 0.299356 loss_dfl: 0.191121 loss: 1.312570 eta: 1 day, 21:17:10 batch_cost: 2.3592 data_cost: 0.0018 ips: 23.7366 images/s [10/16 10:59:38] ppdet.engine INFO: Epoch: [166] [160/523] learning_rate: 0.166015 loss_vfl: 0.851411 loss_bbox: 0.270052 loss_dfl: 0.182712 loss: 1.312978 eta: 1 day, 21:16:24 batch_cost: 2.3380 data_cost: 0.0036 ips: 23.9519 images/s [10/16 11:00:26] ppdet.engine INFO: Epoch: [166] [180/523] learning_rate: 0.165936 loss_vfl: 0.825204 loss_bbox: 0.285909 loss_dfl: 0.192124 loss: 1.303285 eta: 1 day, 21:15:37 batch_cost: 2.2928 data_cost: 0.0031 ips: 24.4246 images/s [10/16 11:01:15] ppdet.engine INFO: Epoch: [166] [200/523] learning_rate: 0.165857 loss_vfl: 0.816159 loss_bbox: 0.274448 loss_dfl: 0.179746 loss: 1.272927 eta: 1 day, 21:14:50 batch_cost: 2.3559 data_cost: 0.0013 ips: 23.7702 images/s [10/16 11:02:05] ppdet.engine INFO: Epoch: [166] [220/523] learning_rate: 0.165778 loss_vfl: 0.835194 loss_bbox: 0.304103 loss_dfl: 0.195053 loss: 1.324884 eta: 1 day, 21:14:05 batch_cost: 2.3883 data_cost: 0.0013 ips: 23.4479 images/s [10/16 11:02:55] ppdet.engine INFO: Epoch: [166] [240/523] learning_rate: 0.165699 loss_vfl: 0.852638 loss_bbox: 0.279419 loss_dfl: 0.180942 loss: 1.329608 eta: 1 day, 21:13:19 batch_cost: 2.3779 data_cost: 0.0019 ips: 23.5502 images/s [10/16 11:03:44] ppdet.engine INFO: Epoch: [166] [260/523] learning_rate: 0.165620 loss_vfl: 0.839299 loss_bbox: 0.285181 loss_dfl: 0.186270 loss: 1.326808 eta: 1 day, 21:12:32 batch_cost: 2.3310 data_cost: 0.0024 ips: 24.0236 images/s [10/16 11:04:34] ppdet.engine INFO: Epoch: [166] [280/523] learning_rate: 0.165541 loss_vfl: 0.832928 loss_bbox: 0.289258 loss_dfl: 0.192723 loss: 1.317738 eta: 1 day, 21:11:47 batch_cost: 2.4118 data_cost: 0.0020 ips: 23.2195 images/s [10/16 11:05:24] ppdet.engine INFO: Epoch: [166] [300/523] learning_rate: 0.165462 loss_vfl: 0.849618 loss_bbox: 0.274023 loss_dfl: 0.187691 loss: 1.304898 eta: 1 day, 21:11:01 batch_cost: 2.3919 data_cost: 0.0013 ips: 23.4124 images/s [10/16 11:06:15] ppdet.engine INFO: Epoch: [166] [320/523] learning_rate: 0.165383 loss_vfl: 0.819308 loss_bbox: 0.287812 loss_dfl: 0.190103 loss: 1.312056 eta: 1 day, 21:10:16 batch_cost: 2.4412 data_cost: 0.0019 ips: 22.9395 images/s [10/16 11:07:05] ppdet.engine INFO: Epoch: [166] [340/523] learning_rate: 0.165305 loss_vfl: 0.830396 loss_bbox: 0.268435 loss_dfl: 0.183173 loss: 1.288255 eta: 1 day, 21:09:30 batch_cost: 2.3781 data_cost: 0.0026 ips: 23.5485 images/s [10/16 11:07:57] ppdet.engine INFO: Epoch: [166] [360/523] learning_rate: 0.165226 loss_vfl: 0.825739 loss_bbox: 0.294367 loss_dfl: 0.186999 loss: 1.285504 eta: 1 day, 21:08:46 batch_cost: 2.4528 data_cost: 0.0012 ips: 22.8313 images/s [10/16 11:08:47] ppdet.engine INFO: Epoch: [166] [380/523] learning_rate: 0.165147 loss_vfl: 0.838937 loss_bbox: 0.283122 loss_dfl: 0.185094 loss: 1.332648 eta: 1 day, 21:08:00 batch_cost: 2.3890 data_cost: 0.0012 ips: 23.4405 images/s [10/16 11:09:36] ppdet.engine INFO: Epoch: [166] [400/523] learning_rate: 0.165068 loss_vfl: 0.834874 loss_bbox: 0.300184 loss_dfl: 0.192550 loss: 1.314194 eta: 1 day, 21:07:14 batch_cost: 2.3853 data_cost: 0.0012 ips: 23.4775 images/s [10/16 11:10:27] ppdet.engine INFO: Epoch: [166] [420/523] learning_rate: 0.164989 loss_vfl: 0.840469 loss_bbox: 0.287110 loss_dfl: 0.186300 loss: 1.317542 eta: 1 day, 21:06:29 batch_cost: 2.4062 data_cost: 0.0018 ips: 23.2737 images/s [10/16 11:11:16] ppdet.engine INFO: Epoch: [166] [440/523] learning_rate: 0.164910 loss_vfl: 0.840279 loss_bbox: 0.284139 loss_dfl: 0.184259 loss: 1.317557 eta: 1 day, 21:05:42 batch_cost: 2.3338 data_cost: 0.0019 ips: 23.9956 images/s [10/16 11:12:05] ppdet.engine INFO: Epoch: [166] [460/523] learning_rate: 0.164831 loss_vfl: 0.844146 loss_bbox: 0.276053 loss_dfl: 0.184282 loss: 1.307486 eta: 1 day, 21:04:56 batch_cost: 2.3605 data_cost: 0.0035 ips: 23.7236 images/s [10/16 11:12:55] ppdet.engine INFO: Epoch: [166] [480/523] learning_rate: 0.164753 loss_vfl: 0.842258 loss_bbox: 0.282752 loss_dfl: 0.189238 loss: 1.298725 eta: 1 day, 21:04:11 batch_cost: 2.4044 data_cost: 0.0013 ips: 23.2907 images/s [10/16 11:13:45] ppdet.engine INFO: Epoch: [166] [500/523] learning_rate: 0.164674 loss_vfl: 0.834364 loss_bbox: 0.288336 loss_dfl: 0.190279 loss: 1.312194 eta: 1 day, 21:03:25 batch_cost: 2.3792 data_cost: 0.0012 ips: 23.5378 images/s [10/16 11:14:28] ppdet.engine INFO: Epoch: [166] [520/523] learning_rate: 0.164595 loss_vfl: 0.851285 loss_bbox: 0.288711 loss_dfl: 0.192109 loss: 1.327372 eta: 1 day, 21:02:34 batch_cost: 2.0472 data_cost: 0.0013 ips: 27.3549 images/s [10/16 11:15:00] ppdet.engine INFO: Epoch: [167] [ 0/523] learning_rate: 0.164583 loss_vfl: 0.851285 loss_bbox: 0.284623 loss_dfl: 0.193280 loss: 1.321167 eta: 1 day, 21:02:44 batch_cost: 3.1001 data_cost: 0.4518 ips: 18.0641 images/s [10/16 11:15:54] ppdet.engine INFO: Epoch: [167] [ 20/523] learning_rate: 0.164504 loss_vfl: 0.822392 loss_bbox: 0.305641 loss_dfl: 0.191933 loss: 1.318462 eta: 1 day, 21:02:01 batch_cost: 2.5739 data_cost: 0.0017 ips: 21.7569 images/s [10/16 11:16:45] ppdet.engine INFO: Epoch: [167] [ 40/523] learning_rate: 0.164425 loss_vfl: 0.832724 loss_bbox: 0.292483 loss_dfl: 0.186241 loss: 1.317905 eta: 1 day, 21:01:16 batch_cost: 2.4756 data_cost: 0.0014 ips: 22.6210 images/s [10/16 11:17:36] ppdet.engine INFO: Epoch: [167] [ 60/523] learning_rate: 0.164347 loss_vfl: 0.814218 loss_bbox: 0.264640 loss_dfl: 0.179446 loss: 1.279435 eta: 1 day, 21:00:32 batch_cost: 2.4484 data_cost: 0.0014 ips: 22.8722 images/s [10/16 11:18:29] ppdet.engine INFO: Epoch: [167] [ 80/523] learning_rate: 0.164268 loss_vfl: 0.845189 loss_bbox: 0.293081 loss_dfl: 0.192141 loss: 1.302565 eta: 1 day, 20:59:48 batch_cost: 2.5082 data_cost: 0.0028 ips: 22.3269 images/s [10/16 11:19:21] ppdet.engine INFO: Epoch: [167] [100/523] learning_rate: 0.164189 loss_vfl: 0.833464 loss_bbox: 0.271859 loss_dfl: 0.181622 loss: 1.289723 eta: 1 day, 20:59:04 batch_cost: 2.5168 data_cost: 0.0037 ips: 22.2503 images/s [10/16 11:20:11] ppdet.engine INFO: Epoch: [167] [120/523] learning_rate: 0.164110 loss_vfl: 0.834760 loss_bbox: 0.273255 loss_dfl: 0.185883 loss: 1.282917 eta: 1 day, 20:58:19 batch_cost: 2.4006 data_cost: 0.0012 ips: 23.3274 images/s [10/16 11:21:01] ppdet.engine INFO: Epoch: [167] [140/523] learning_rate: 0.164031 loss_vfl: 0.828985 loss_bbox: 0.285032 loss_dfl: 0.193286 loss: 1.305102 eta: 1 day, 20:57:32 batch_cost: 2.3497 data_cost: 0.0012 ips: 23.8329 images/s [10/16 11:21:50] ppdet.engine INFO: Epoch: [167] [160/523] learning_rate: 0.163953 loss_vfl: 0.846499 loss_bbox: 0.278004 loss_dfl: 0.186092 loss: 1.303389 eta: 1 day, 20:56:46 batch_cost: 2.3391 data_cost: 0.0012 ips: 23.9404 images/s [10/16 11:22:39] ppdet.engine INFO: Epoch: [167] [180/523] learning_rate: 0.163874 loss_vfl: 0.823975 loss_bbox: 0.258035 loss_dfl: 0.180636 loss: 1.259312 eta: 1 day, 20:56:00 batch_cost: 2.3832 data_cost: 0.0014 ips: 23.4976 images/s [10/16 11:23:30] ppdet.engine INFO: Epoch: [167] [200/523] learning_rate: 0.163795 loss_vfl: 0.842692 loss_bbox: 0.261893 loss_dfl: 0.179145 loss: 1.291602 eta: 1 day, 20:55:15 batch_cost: 2.4238 data_cost: 0.0013 ips: 23.1043 images/s [10/16 11:24:19] ppdet.engine INFO: Epoch: [167] [220/523] learning_rate: 0.163716 loss_vfl: 0.831767 loss_bbox: 0.288634 loss_dfl: 0.187207 loss: 1.325207 eta: 1 day, 20:54:28 batch_cost: 2.3456 data_cost: 0.0020 ips: 23.8749 images/s [10/16 11:25:09] ppdet.engine INFO: Epoch: [167] [240/523] learning_rate: 0.163638 loss_vfl: 0.828576 loss_bbox: 0.280360 loss_dfl: 0.192837 loss: 1.307773 eta: 1 day, 20:53:42 batch_cost: 2.3669 data_cost: 0.0013 ips: 23.6600 images/s [10/16 11:25:58] ppdet.engine INFO: Epoch: [167] [260/523] learning_rate: 0.163559 loss_vfl: 0.832815 loss_bbox: 0.278101 loss_dfl: 0.185504 loss: 1.301610 eta: 1 day, 20:52:56 batch_cost: 2.3568 data_cost: 0.0012 ips: 23.7612 images/s [10/16 11:26:50] ppdet.engine INFO: Epoch: [167] [280/523] learning_rate: 0.163480 loss_vfl: 0.836030 loss_bbox: 0.292889 loss_dfl: 0.196787 loss: 1.318334 eta: 1 day, 20:52:12 batch_cost: 2.4764 data_cost: 0.0012 ips: 22.6136 images/s [10/16 11:27:42] ppdet.engine INFO: Epoch: [167] [300/523] learning_rate: 0.163401 loss_vfl: 0.829453 loss_bbox: 0.305430 loss_dfl: 0.197563 loss: 1.347370 eta: 1 day, 20:51:27 batch_cost: 2.4817 data_cost: 0.0013 ips: 22.5654 images/s [10/16 11:28:33] ppdet.engine INFO: Epoch: [167] [320/523] learning_rate: 0.163323 loss_vfl: 0.860985 loss_bbox: 0.293325 loss_dfl: 0.191842 loss: 1.344845 eta: 1 day, 20:50:42 batch_cost: 2.4276 data_cost: 0.0013 ips: 23.0680 images/s [10/16 11:29:23] ppdet.engine INFO: Epoch: [167] [340/523] learning_rate: 0.163244 loss_vfl: 0.827898 loss_bbox: 0.292195 loss_dfl: 0.190885 loss: 1.306272 eta: 1 day, 20:49:57 batch_cost: 2.4331 data_cost: 0.0013 ips: 23.0161 images/s [10/16 11:30:13] ppdet.engine INFO: Epoch: [167] [360/523] learning_rate: 0.163165 loss_vfl: 0.837637 loss_bbox: 0.303884 loss_dfl: 0.196775 loss: 1.330770 eta: 1 day, 20:49:11 batch_cost: 2.3525 data_cost: 0.0022 ips: 23.8045 images/s [10/16 11:31:02] ppdet.engine INFO: Epoch: [167] [380/523] learning_rate: 0.163086 loss_vfl: 0.832362 loss_bbox: 0.299257 loss_dfl: 0.193625 loss: 1.323534 eta: 1 day, 20:48:25 batch_cost: 2.3846 data_cost: 0.0020 ips: 23.4841 images/s [10/16 11:31:53] ppdet.engine INFO: Epoch: [167] [400/523] learning_rate: 0.163008 loss_vfl: 0.844326 loss_bbox: 0.290218 loss_dfl: 0.190163 loss: 1.316737 eta: 1 day, 20:47:40 batch_cost: 2.4042 data_cost: 0.0013 ips: 23.2924 images/s [10/16 11:32:42] ppdet.engine INFO: Epoch: [167] [420/523] learning_rate: 0.162929 loss_vfl: 0.849468 loss_bbox: 0.287397 loss_dfl: 0.193744 loss: 1.333499 eta: 1 day, 20:46:53 batch_cost: 2.3358 data_cost: 0.0013 ips: 23.9750 images/s [10/16 11:33:31] ppdet.engine INFO: Epoch: [167] [440/523] learning_rate: 0.162850 loss_vfl: 0.834000 loss_bbox: 0.274575 loss_dfl: 0.179376 loss: 1.318398 eta: 1 day, 20:46:07 batch_cost: 2.3357 data_cost: 0.0012 ips: 23.9753 images/s [10/16 11:34:19] ppdet.engine INFO: Epoch: [167] [460/523] learning_rate: 0.162772 loss_vfl: 0.832104 loss_bbox: 0.280398 loss_dfl: 0.188634 loss: 1.309655 eta: 1 day, 20:45:19 batch_cost: 2.2984 data_cost: 0.0013 ips: 24.3648 images/s [10/16 11:35:10] ppdet.engine INFO: Epoch: [167] [480/523] learning_rate: 0.162693 loss_vfl: 0.841338 loss_bbox: 0.283400 loss_dfl: 0.185897 loss: 1.320400 eta: 1 day, 20:44:34 batch_cost: 2.4195 data_cost: 0.0012 ips: 23.1449 images/s [10/16 11:35:59] ppdet.engine INFO: Epoch: [167] [500/523] learning_rate: 0.162614 loss_vfl: 0.837232 loss_bbox: 0.294190 loss_dfl: 0.187129 loss: 1.333241 eta: 1 day, 20:43:48 batch_cost: 2.3736 data_cost: 0.0012 ips: 23.5932 images/s [10/16 11:36:43] ppdet.engine INFO: Epoch: [167] [520/523] learning_rate: 0.162536 loss_vfl: 0.825138 loss_bbox: 0.293844 loss_dfl: 0.194619 loss: 1.303537 eta: 1 day, 20:42:57 batch_cost: 2.0639 data_cost: 0.0012 ips: 27.1332 images/s [10/16 11:37:13] ppdet.engine INFO: Epoch: [168] [ 0/523] learning_rate: 0.162524 loss_vfl: 0.828580 loss_bbox: 0.293844 loss_dfl: 0.194619 loss: 1.307152 eta: 1 day, 20:43:05 batch_cost: 3.0035 data_cost: 0.2676 ips: 18.6449 images/s [10/16 11:38:07] ppdet.engine INFO: Epoch: [168] [ 20/523] learning_rate: 0.162445 loss_vfl: 0.821200 loss_bbox: 0.288326 loss_dfl: 0.191345 loss: 1.305642 eta: 1 day, 20:42:22 batch_cost: 2.5917 data_cost: 0.0030 ips: 21.6077 images/s [10/16 11:38:57] ppdet.engine INFO: Epoch: [168] [ 40/523] learning_rate: 0.162366 loss_vfl: 0.825725 loss_bbox: 0.313465 loss_dfl: 0.194101 loss: 1.338511 eta: 1 day, 20:41:37 batch_cost: 2.3776 data_cost: 0.0014 ips: 23.5532 images/s [10/16 11:39:47] ppdet.engine INFO: Epoch: [168] [ 60/523] learning_rate: 0.162288 loss_vfl: 0.821646 loss_bbox: 0.290000 loss_dfl: 0.189312 loss: 1.311085 eta: 1 day, 20:40:51 batch_cost: 2.4101 data_cost: 0.0021 ips: 23.2351 images/s [10/16 11:40:40] ppdet.engine INFO: Epoch: [168] [ 80/523] learning_rate: 0.162209 loss_vfl: 0.819852 loss_bbox: 0.281506 loss_dfl: 0.187019 loss: 1.289852 eta: 1 day, 20:40:07 batch_cost: 2.5101 data_cost: 0.0020 ips: 22.3102 images/s [10/16 11:41:30] ppdet.engine INFO: Epoch: [168] [100/523] learning_rate: 0.162130 loss_vfl: 0.826179 loss_bbox: 0.304320 loss_dfl: 0.192437 loss: 1.358986 eta: 1 day, 20:39:22 batch_cost: 2.3941 data_cost: 0.0013 ips: 23.3904 images/s [10/16 11:42:18] ppdet.engine INFO: Epoch: [168] [120/523] learning_rate: 0.162052 loss_vfl: 0.849264 loss_bbox: 0.299526 loss_dfl: 0.194543 loss: 1.334067 eta: 1 day, 20:38:34 batch_cost: 2.3001 data_cost: 0.0050 ips: 24.3468 images/s [10/16 11:43:09] ppdet.engine INFO: Epoch: [168] [140/523] learning_rate: 0.161973 loss_vfl: 0.816380 loss_bbox: 0.287011 loss_dfl: 0.186264 loss: 1.280129 eta: 1 day, 20:37:49 batch_cost: 2.4084 data_cost: 0.0013 ips: 23.2524 images/s [10/16 11:44:00] ppdet.engine INFO: Epoch: [168] [160/523] learning_rate: 0.161895 loss_vfl: 0.848307 loss_bbox: 0.280917 loss_dfl: 0.189879 loss: 1.312615 eta: 1 day, 20:37:05 batch_cost: 2.4845 data_cost: 0.0020 ips: 22.5397 images/s [10/16 11:44:51] ppdet.engine INFO: Epoch: [168] [180/523] learning_rate: 0.161816 loss_vfl: 0.838162 loss_bbox: 0.295249 loss_dfl: 0.190105 loss: 1.327548 eta: 1 day, 20:36:20 batch_cost: 2.4239 data_cost: 0.0013 ips: 23.1030 images/s [10/16 11:45:40] ppdet.engine INFO: Epoch: [168] [200/523] learning_rate: 0.161737 loss_vfl: 0.822118 loss_bbox: 0.280938 loss_dfl: 0.187153 loss: 1.308243 eta: 1 day, 20:35:33 batch_cost: 2.3553 data_cost: 0.0012 ips: 23.7766 images/s [10/16 11:46:30] ppdet.engine INFO: Epoch: [168] [220/523] learning_rate: 0.161659 loss_vfl: 0.823042 loss_bbox: 0.304304 loss_dfl: 0.199658 loss: 1.306587 eta: 1 day, 20:34:47 batch_cost: 2.3692 data_cost: 0.0019 ips: 23.6363 images/s [10/16 11:47:20] ppdet.engine INFO: Epoch: [168] [240/523] learning_rate: 0.161580 loss_vfl: 0.848213 loss_bbox: 0.285252 loss_dfl: 0.184475 loss: 1.322147 eta: 1 day, 20:34:01 batch_cost: 2.3799 data_cost: 0.0012 ips: 23.5304 images/s [10/16 11:48:09] ppdet.engine INFO: Epoch: [168] [260/523] learning_rate: 0.161502 loss_vfl: 0.835669 loss_bbox: 0.276854 loss_dfl: 0.187602 loss: 1.313467 eta: 1 day, 20:33:15 batch_cost: 2.3421 data_cost: 0.0024 ips: 23.9100 images/s [10/16 11:49:00] ppdet.engine INFO: Epoch: [168] [280/523] learning_rate: 0.161423 loss_vfl: 0.830574 loss_bbox: 0.276515 loss_dfl: 0.181708 loss: 1.295898 eta: 1 day, 20:32:30 batch_cost: 2.4489 data_cost: 0.0012 ips: 22.8671 images/s [10/16 11:49:50] ppdet.engine INFO: Epoch: [168] [300/523] learning_rate: 0.161344 loss_vfl: 0.842549 loss_bbox: 0.266499 loss_dfl: 0.175959 loss: 1.298549 eta: 1 day, 20:31:45 batch_cost: 2.4057 data_cost: 0.0012 ips: 23.2781 images/s [10/16 11:50:38] ppdet.engine INFO: Epoch: [168] [320/523] learning_rate: 0.161266 loss_vfl: 0.814563 loss_bbox: 0.281719 loss_dfl: 0.186249 loss: 1.286828 eta: 1 day, 20:30:57 batch_cost: 2.2998 data_cost: 0.0013 ips: 24.3503 images/s [10/16 11:51:28] ppdet.engine INFO: Epoch: [168] [340/523] learning_rate: 0.161187 loss_vfl: 0.843095 loss_bbox: 0.282109 loss_dfl: 0.189072 loss: 1.331637 eta: 1 day, 20:30:12 batch_cost: 2.3976 data_cost: 0.0013 ips: 23.3567 images/s [10/16 11:52:19] ppdet.engine INFO: Epoch: [168] [360/523] learning_rate: 0.161109 loss_vfl: 0.838726 loss_bbox: 0.296512 loss_dfl: 0.189443 loss: 1.324335 eta: 1 day, 20:29:26 batch_cost: 2.4199 data_cost: 0.0013 ips: 23.1411 images/s [10/16 11:53:08] ppdet.engine INFO: Epoch: [168] [380/523] learning_rate: 0.161030 loss_vfl: 0.821134 loss_bbox: 0.287485 loss_dfl: 0.186439 loss: 1.294702 eta: 1 day, 20:28:40 batch_cost: 2.3651 data_cost: 0.0012 ips: 23.6777 images/s [10/16 11:54:00] ppdet.engine INFO: Epoch: [168] [400/523] learning_rate: 0.160951 loss_vfl: 0.828368 loss_bbox: 0.300984 loss_dfl: 0.189831 loss: 1.325153 eta: 1 day, 20:27:56 batch_cost: 2.4655 data_cost: 0.0042 ips: 22.7133 images/s [10/16 11:54:52] ppdet.engine INFO: Epoch: [168] [420/523] learning_rate: 0.160873 loss_vfl: 0.837679 loss_bbox: 0.301757 loss_dfl: 0.195909 loss: 1.336684 eta: 1 day, 20:27:12 batch_cost: 2.4978 data_cost: 0.0014 ips: 22.4200 images/s [10/16 11:55:41] ppdet.engine INFO: Epoch: [168] [440/523] learning_rate: 0.160794 loss_vfl: 0.822634 loss_bbox: 0.296943 loss_dfl: 0.196040 loss: 1.297408 eta: 1 day, 20:26:25 batch_cost: 2.3314 data_cost: 0.0013 ips: 24.0199 images/s [10/16 11:56:31] ppdet.engine INFO: Epoch: [168] [460/523] learning_rate: 0.160716 loss_vfl: 0.828714 loss_bbox: 0.274673 loss_dfl: 0.180501 loss: 1.292071 eta: 1 day, 20:25:39 batch_cost: 2.3938 data_cost: 0.0013 ips: 23.3935 images/s [10/16 11:57:20] ppdet.engine INFO: Epoch: [168] [480/523] learning_rate: 0.160637 loss_vfl: 0.841669 loss_bbox: 0.281152 loss_dfl: 0.189023 loss: 1.323580 eta: 1 day, 20:24:53 batch_cost: 2.3199 data_cost: 0.0012 ips: 24.1387 images/s [10/16 11:58:09] ppdet.engine INFO: Epoch: [168] [500/523] learning_rate: 0.160559 loss_vfl: 0.829743 loss_bbox: 0.289556 loss_dfl: 0.187711 loss: 1.314469 eta: 1 day, 20:24:06 batch_cost: 2.3660 data_cost: 0.0013 ips: 23.6685 images/s [10/16 11:58:53] ppdet.engine INFO: Epoch: [168] [520/523] learning_rate: 0.160480 loss_vfl: 0.850137 loss_bbox: 0.303474 loss_dfl: 0.192465 loss: 1.336128 eta: 1 day, 20:23:16 batch_cost: 2.0836 data_cost: 0.0012 ips: 26.8760 images/s [10/16 11:59:22] ppdet.engine INFO: Epoch: [169] [ 0/523] learning_rate: 0.160469 loss_vfl: 0.841104 loss_bbox: 0.288158 loss_dfl: 0.188031 loss: 1.322714 eta: 1 day, 20:23:22 batch_cost: 2.8987 data_cost: 0.5387 ips: 19.3187 images/s [10/16 12:00:16] ppdet.engine INFO: Epoch: [169] [ 20/523] learning_rate: 0.160390 loss_vfl: 0.836651 loss_bbox: 0.277671 loss_dfl: 0.183324 loss: 1.286894 eta: 1 day, 20:22:40 batch_cost: 2.6248 data_cost: 0.0023 ips: 21.3349 images/s [10/16 12:01:09] ppdet.engine INFO: Epoch: [169] [ 40/523] learning_rate: 0.160312 loss_vfl: 0.823258 loss_bbox: 0.281088 loss_dfl: 0.182631 loss: 1.289197 eta: 1 day, 20:21:56 batch_cost: 2.5178 data_cost: 0.0013 ips: 22.2414 images/s [10/16 12:01:59] ppdet.engine INFO: Epoch: [169] [ 60/523] learning_rate: 0.160233 loss_vfl: 0.817688 loss_bbox: 0.285690 loss_dfl: 0.190121 loss: 1.299216 eta: 1 day, 20:21:10 batch_cost: 2.3819 data_cost: 0.0013 ips: 23.5108 images/s [10/16 12:02:50] ppdet.engine INFO: Epoch: [169] [ 80/523] learning_rate: 0.160155 loss_vfl: 0.822196 loss_bbox: 0.300454 loss_dfl: 0.199539 loss: 1.319697 eta: 1 day, 20:20:26 batch_cost: 2.4593 data_cost: 0.0019 ips: 22.7705 images/s [10/16 12:03:41] ppdet.engine INFO: Epoch: [169] [100/523] learning_rate: 0.160076 loss_vfl: 0.833632 loss_bbox: 0.276349 loss_dfl: 0.190690 loss: 1.321873 eta: 1 day, 20:19:40 batch_cost: 2.4028 data_cost: 0.0013 ips: 23.3058 images/s [10/16 12:04:31] ppdet.engine INFO: Epoch: [169] [120/523] learning_rate: 0.159998 loss_vfl: 0.829612 loss_bbox: 0.274652 loss_dfl: 0.185587 loss: 1.305520 eta: 1 day, 20:18:54 batch_cost: 2.3773 data_cost: 0.0018 ips: 23.5561 images/s [10/16 12:05:22] ppdet.engine INFO: Epoch: [169] [140/523] learning_rate: 0.159919 loss_vfl: 0.821905 loss_bbox: 0.293153 loss_dfl: 0.190623 loss: 1.301709 eta: 1 day, 20:18:09 batch_cost: 2.4252 data_cost: 0.0012 ips: 23.0909 images/s [10/16 12:06:11] ppdet.engine INFO: Epoch: [169] [160/523] learning_rate: 0.159841 loss_vfl: 0.847528 loss_bbox: 0.298540 loss_dfl: 0.195077 loss: 1.340780 eta: 1 day, 20:17:22 batch_cost: 2.3504 data_cost: 0.0012 ips: 23.8256 images/s [10/16 12:07:01] ppdet.engine INFO: Epoch: [169] [180/523] learning_rate: 0.159762 loss_vfl: 0.815845 loss_bbox: 0.288975 loss_dfl: 0.189307 loss: 1.307480 eta: 1 day, 20:16:37 batch_cost: 2.3859 data_cost: 0.0031 ips: 23.4711 images/s [10/16 12:07:52] ppdet.engine INFO: Epoch: [169] [200/523] learning_rate: 0.159684 loss_vfl: 0.825816 loss_bbox: 0.274889 loss_dfl: 0.181720 loss: 1.288291 eta: 1 day, 20:15:52 batch_cost: 2.4462 data_cost: 0.0019 ips: 22.8928 images/s [10/16 12:08:42] ppdet.engine INFO: Epoch: [169] [220/523] learning_rate: 0.159605 loss_vfl: 0.831751 loss_bbox: 0.268407 loss_dfl: 0.188052 loss: 1.305203 eta: 1 day, 20:15:06 batch_cost: 2.3748 data_cost: 0.0019 ips: 23.5810 images/s [10/16 12:09:31] ppdet.engine INFO: Epoch: [169] [240/523] learning_rate: 0.159527 loss_vfl: 0.837125 loss_bbox: 0.295377 loss_dfl: 0.194841 loss: 1.336774 eta: 1 day, 20:14:19 batch_cost: 2.3548 data_cost: 0.0012 ips: 23.7812 images/s [10/16 12:10:21] ppdet.engine INFO: Epoch: [169] [260/523] learning_rate: 0.159448 loss_vfl: 0.838004 loss_bbox: 0.291699 loss_dfl: 0.192471 loss: 1.333669 eta: 1 day, 20:13:33 batch_cost: 2.3551 data_cost: 0.0012 ips: 23.7783 images/s [10/16 12:11:12] ppdet.engine INFO: Epoch: [169] [280/523] learning_rate: 0.159370 loss_vfl: 0.818382 loss_bbox: 0.290772 loss_dfl: 0.184482 loss: 1.308119 eta: 1 day, 20:12:48 batch_cost: 2.4387 data_cost: 0.0013 ips: 22.9633 images/s [10/16 12:12:03] ppdet.engine INFO: Epoch: [169] [300/523] learning_rate: 0.159292 loss_vfl: 0.833769 loss_bbox: 0.298872 loss_dfl: 0.195883 loss: 1.321689 eta: 1 day, 20:12:03 batch_cost: 2.4439 data_cost: 0.0013 ips: 22.9143 images/s [10/16 12:12:53] ppdet.engine INFO: Epoch: [169] [320/523] learning_rate: 0.159213 loss_vfl: 0.823832 loss_bbox: 0.287885 loss_dfl: 0.189086 loss: 1.283627 eta: 1 day, 20:11:17 batch_cost: 2.3861 data_cost: 0.0012 ips: 23.4693 images/s [10/16 12:13:43] ppdet.engine INFO: Epoch: [169] [340/523] learning_rate: 0.159135 loss_vfl: 0.829537 loss_bbox: 0.250380 loss_dfl: 0.173463 loss: 1.246098 eta: 1 day, 20:10:32 batch_cost: 2.4056 data_cost: 0.0012 ips: 23.2790 images/s [10/16 12:14:32] ppdet.engine INFO: Epoch: [169] [360/523] learning_rate: 0.159056 loss_vfl: 0.843683 loss_bbox: 0.284749 loss_dfl: 0.190922 loss: 1.326017 eta: 1 day, 20:09:45 batch_cost: 2.3579 data_cost: 0.0012 ips: 23.7496 images/s [10/16 12:15:23] ppdet.engine INFO: Epoch: [169] [380/523] learning_rate: 0.158978 loss_vfl: 0.826347 loss_bbox: 0.288447 loss_dfl: 0.181068 loss: 1.272987 eta: 1 day, 20:09:00 batch_cost: 2.4057 data_cost: 0.0013 ips: 23.2782 images/s [10/16 12:16:14] ppdet.engine INFO: Epoch: [169] [400/523] learning_rate: 0.158900 loss_vfl: 0.823919 loss_bbox: 0.289032 loss_dfl: 0.192681 loss: 1.300908 eta: 1 day, 20:08:15 batch_cost: 2.4454 data_cost: 0.0012 ips: 22.9003 images/s [10/16 12:17:04] ppdet.engine INFO: Epoch: [169] [420/523] learning_rate: 0.158821 loss_vfl: 0.850769 loss_bbox: 0.289892 loss_dfl: 0.194636 loss: 1.338157 eta: 1 day, 20:07:29 batch_cost: 2.4087 data_cost: 0.0013 ips: 23.2493 images/s [10/16 12:17:53] ppdet.engine INFO: Epoch: [169] [440/523] learning_rate: 0.158743 loss_vfl: 0.851759 loss_bbox: 0.288289 loss_dfl: 0.188866 loss: 1.328007 eta: 1 day, 20:06:43 batch_cost: 2.3572 data_cost: 0.0012 ips: 23.7574 images/s [10/16 12:18:42] ppdet.engine INFO: Epoch: [169] [460/523] learning_rate: 0.158664 loss_vfl: 0.843044 loss_bbox: 0.291638 loss_dfl: 0.193257 loss: 1.326488 eta: 1 day, 20:05:56 batch_cost: 2.3148 data_cost: 0.0012 ips: 24.1917 images/s [10/16 12:19:33] ppdet.engine INFO: Epoch: [169] [480/523] learning_rate: 0.158586 loss_vfl: 0.838129 loss_bbox: 0.291179 loss_dfl: 0.194208 loss: 1.321886 eta: 1 day, 20:05:11 batch_cost: 2.4360 data_cost: 0.0013 ips: 22.9882 images/s [10/16 12:20:22] ppdet.engine INFO: Epoch: [169] [500/523] learning_rate: 0.158508 loss_vfl: 0.826767 loss_bbox: 0.300377 loss_dfl: 0.193893 loss: 1.325709 eta: 1 day, 20:04:25 batch_cost: 2.3681 data_cost: 0.0012 ips: 23.6479 images/s [10/16 12:21:06] ppdet.engine INFO: Epoch: [169] [520/523] learning_rate: 0.158429 loss_vfl: 0.846346 loss_bbox: 0.300469 loss_dfl: 0.203669 loss: 1.347438 eta: 1 day, 20:03:34 batch_cost: 2.0692 data_cost: 0.0012 ips: 27.0637 images/s [10/16 12:21:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 12:21:14] ppdet.engine INFO: Eval iter: 0 [10/16 12:21:54] ppdet.engine INFO: Eval iter: 100 [10/16 12:22:15] ppdet.engine INFO: Eval iter: 200 [10/16 12:22:35] ppdet.engine INFO: Eval iter: 300 [10/16 12:22:55] ppdet.engine INFO: Eval iter: 400 [10/16 12:23:15] ppdet.engine INFO: Eval iter: 500 [10/16 12:23:35] ppdet.engine INFO: Eval iter: 600 [10/16 12:23:56] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/16 12:23:56] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.58s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.83s). Accumulating evaluation results... DONE (t=18.50s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.349 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.504 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.367 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.376 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.556 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 ] = 0.476 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.235 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.744 [10/16 12:26:02] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.857026438143166 [10/16 12:26:02] ppdet.engine INFO: Best test bbox ap is 0.350. [10/16 12:26:04] ppdet.engine INFO: Epoch: [170] [ 0/523] learning_rate: 0.158418 loss_vfl: 0.839755 loss_bbox: 0.303706 loss_dfl: 0.206152 loss: 1.355463 eta: 1 day, 20:03:26 batch_cost: 2.0051 data_cost: 0.0013 ips: 27.9295 images/s [10/16 12:26:53] ppdet.engine INFO: Epoch: [170] [ 20/523] learning_rate: 0.158339 loss_vfl: 0.815684 loss_bbox: 0.287832 loss_dfl: 0.187336 loss: 1.304891 eta: 1 day, 20:02:40 batch_cost: 2.3427 data_cost: 0.0013 ips: 23.9040 images/s [10/16 12:27:43] ppdet.engine INFO: Epoch: [170] [ 40/523] learning_rate: 0.158261 loss_vfl: 0.818519 loss_bbox: 0.299888 loss_dfl: 0.187534 loss: 1.313214 eta: 1 day, 20:01:54 batch_cost: 2.4043 data_cost: 0.0012 ips: 23.2918 images/s [10/16 12:28:33] ppdet.engine INFO: Epoch: [170] [ 60/523] learning_rate: 0.158183 loss_vfl: 0.829152 loss_bbox: 0.269663 loss_dfl: 0.184819 loss: 1.290284 eta: 1 day, 20:01:09 batch_cost: 2.4099 data_cost: 0.0012 ips: 23.2377 images/s [10/16 12:29:26] ppdet.engine INFO: Epoch: [170] [ 80/523] learning_rate: 0.158104 loss_vfl: 0.845383 loss_bbox: 0.280307 loss_dfl: 0.185894 loss: 1.307911 eta: 1 day, 20:00:25 batch_cost: 2.5258 data_cost: 0.0046 ips: 22.1711 images/s [10/16 12:30:19] ppdet.engine INFO: Epoch: [170] [100/523] learning_rate: 0.158026 loss_vfl: 0.841203 loss_bbox: 0.269217 loss_dfl: 0.181948 loss: 1.287245 eta: 1 day, 19:59:41 batch_cost: 2.5114 data_cost: 0.0013 ips: 22.2983 images/s [10/16 12:31:08] ppdet.engine INFO: Epoch: [170] [120/523] learning_rate: 0.157948 loss_vfl: 0.827865 loss_bbox: 0.271380 loss_dfl: 0.187291 loss: 1.294432 eta: 1 day, 19:58:55 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7021 images/s [10/16 12:31:58] ppdet.engine INFO: Epoch: [170] [140/523] learning_rate: 0.157869 loss_vfl: 0.819772 loss_bbox: 0.302880 loss_dfl: 0.186936 loss: 1.303854 eta: 1 day, 19:58:09 batch_cost: 2.4010 data_cost: 0.0012 ips: 23.3235 images/s [10/16 12:32:47] ppdet.engine INFO: Epoch: [170] [160/523] learning_rate: 0.157791 loss_vfl: 0.826600 loss_bbox: 0.308020 loss_dfl: 0.199279 loss: 1.333878 eta: 1 day, 19:57:23 batch_cost: 2.3499 data_cost: 0.0012 ips: 23.8305 images/s [10/16 12:33:37] ppdet.engine INFO: Epoch: [170] [180/523] learning_rate: 0.157713 loss_vfl: 0.825071 loss_bbox: 0.272958 loss_dfl: 0.185516 loss: 1.287736 eta: 1 day, 19:56:37 batch_cost: 2.3677 data_cost: 0.0019 ips: 23.6515 images/s [10/16 12:34:26] ppdet.engine INFO: Epoch: [170] [200/523] learning_rate: 0.157635 loss_vfl: 0.829357 loss_bbox: 0.295593 loss_dfl: 0.197895 loss: 1.332961 eta: 1 day, 19:55:50 batch_cost: 2.3420 data_cost: 0.0013 ips: 23.9116 images/s [10/16 12:35:15] ppdet.engine INFO: Epoch: [170] [220/523] learning_rate: 0.157556 loss_vfl: 0.835175 loss_bbox: 0.281070 loss_dfl: 0.180731 loss: 1.295907 eta: 1 day, 19:55:04 batch_cost: 2.3437 data_cost: 0.0012 ips: 23.8941 images/s [10/16 12:36:03] ppdet.engine INFO: Epoch: [170] [240/523] learning_rate: 0.157478 loss_vfl: 0.826347 loss_bbox: 0.310285 loss_dfl: 0.203484 loss: 1.348191 eta: 1 day, 19:54:17 batch_cost: 2.3230 data_cost: 0.0012 ips: 24.1063 images/s [10/16 12:36:53] ppdet.engine INFO: Epoch: [170] [260/523] learning_rate: 0.157400 loss_vfl: 0.826431 loss_bbox: 0.271017 loss_dfl: 0.183951 loss: 1.284183 eta: 1 day, 19:53:31 batch_cost: 2.3794 data_cost: 0.0012 ips: 23.5355 images/s [10/16 12:37:44] ppdet.engine INFO: Epoch: [170] [280/523] learning_rate: 0.157322 loss_vfl: 0.847277 loss_bbox: 0.282962 loss_dfl: 0.184379 loss: 1.313282 eta: 1 day, 19:52:46 batch_cost: 2.4116 data_cost: 0.0013 ips: 23.2212 images/s [10/16 12:38:34] ppdet.engine INFO: Epoch: [170] [300/523] learning_rate: 0.157243 loss_vfl: 0.835591 loss_bbox: 0.291849 loss_dfl: 0.185866 loss: 1.319174 eta: 1 day, 19:52:00 batch_cost: 2.3945 data_cost: 0.0012 ips: 23.3867 images/s [10/16 12:39:21] ppdet.engine INFO: Epoch: [170] [320/523] learning_rate: 0.157165 loss_vfl: 0.840549 loss_bbox: 0.279209 loss_dfl: 0.191684 loss: 1.312813 eta: 1 day, 19:51:12 batch_cost: 2.2768 data_cost: 0.0013 ips: 24.5955 images/s [10/16 12:40:12] ppdet.engine INFO: Epoch: [170] [340/523] learning_rate: 0.157087 loss_vfl: 0.834729 loss_bbox: 0.281821 loss_dfl: 0.189065 loss: 1.320817 eta: 1 day, 19:50:27 batch_cost: 2.4416 data_cost: 0.0012 ips: 22.9357 images/s [10/16 12:41:02] ppdet.engine INFO: Epoch: [170] [360/523] learning_rate: 0.157009 loss_vfl: 0.834555 loss_bbox: 0.294290 loss_dfl: 0.194950 loss: 1.326530 eta: 1 day, 19:49:41 batch_cost: 2.3557 data_cost: 0.0014 ips: 23.7719 images/s [10/16 12:41:51] ppdet.engine INFO: Epoch: [170] [380/523] learning_rate: 0.156930 loss_vfl: 0.826279 loss_bbox: 0.287492 loss_dfl: 0.191768 loss: 1.319174 eta: 1 day, 19:48:55 batch_cost: 2.3569 data_cost: 0.0013 ips: 23.7596 images/s [10/16 12:42:41] ppdet.engine INFO: Epoch: [170] [400/523] learning_rate: 0.156852 loss_vfl: 0.835928 loss_bbox: 0.288433 loss_dfl: 0.189698 loss: 1.322153 eta: 1 day, 19:48:09 batch_cost: 2.3967 data_cost: 0.0012 ips: 23.3657 images/s [10/16 12:43:31] ppdet.engine INFO: Epoch: [170] [420/523] learning_rate: 0.156774 loss_vfl: 0.825108 loss_bbox: 0.277423 loss_dfl: 0.181691 loss: 1.300233 eta: 1 day, 19:47:23 batch_cost: 2.3584 data_cost: 0.0012 ips: 23.7453 images/s [10/16 12:44:21] ppdet.engine INFO: Epoch: [170] [440/523] learning_rate: 0.156696 loss_vfl: 0.819921 loss_bbox: 0.286322 loss_dfl: 0.193318 loss: 1.317628 eta: 1 day, 19:46:37 batch_cost: 2.4040 data_cost: 0.0026 ips: 23.2945 images/s [10/16 12:45:09] ppdet.engine INFO: Epoch: [170] [460/523] learning_rate: 0.156618 loss_vfl: 0.837859 loss_bbox: 0.272816 loss_dfl: 0.185965 loss: 1.296674 eta: 1 day, 19:45:50 batch_cost: 2.3209 data_cost: 0.0012 ips: 24.1285 images/s [10/16 12:45:59] ppdet.engine INFO: Epoch: [170] [480/523] learning_rate: 0.156539 loss_vfl: 0.843693 loss_bbox: 0.299960 loss_dfl: 0.196569 loss: 1.329431 eta: 1 day, 19:45:05 batch_cost: 2.3933 data_cost: 0.0012 ips: 23.3985 images/s [10/16 12:46:49] ppdet.engine INFO: Epoch: [170] [500/523] learning_rate: 0.156461 loss_vfl: 0.835283 loss_bbox: 0.255678 loss_dfl: 0.178707 loss: 1.283237 eta: 1 day, 19:44:18 batch_cost: 2.3704 data_cost: 0.0012 ips: 23.6250 images/s [10/16 12:47:33] ppdet.engine INFO: Epoch: [170] [520/523] learning_rate: 0.156383 loss_vfl: 0.837040 loss_bbox: 0.314447 loss_dfl: 0.200410 loss: 1.346734 eta: 1 day, 19:43:29 batch_cost: 2.1171 data_cost: 0.0013 ips: 26.4517 images/s [10/16 12:48:03] ppdet.engine INFO: Epoch: [171] [ 0/523] learning_rate: 0.156371 loss_vfl: 0.839648 loss_bbox: 0.314928 loss_dfl: 0.200410 loss: 1.359611 eta: 1 day, 19:43:35 batch_cost: 2.9633 data_cost: 0.4644 ips: 18.8981 images/s [10/16 12:48:59] ppdet.engine INFO: Epoch: [171] [ 20/523] learning_rate: 0.156293 loss_vfl: 0.814315 loss_bbox: 0.271886 loss_dfl: 0.180874 loss: 1.271846 eta: 1 day, 19:42:54 batch_cost: 2.6906 data_cost: 0.0013 ips: 20.8129 images/s [10/16 12:49:49] ppdet.engine INFO: Epoch: [171] [ 40/523] learning_rate: 0.156215 loss_vfl: 0.833678 loss_bbox: 0.278940 loss_dfl: 0.185182 loss: 1.312071 eta: 1 day, 19:42:08 batch_cost: 2.3911 data_cost: 0.0013 ips: 23.4203 images/s [10/16 12:50:39] ppdet.engine INFO: Epoch: [171] [ 60/523] learning_rate: 0.156137 loss_vfl: 0.822274 loss_bbox: 0.290216 loss_dfl: 0.189277 loss: 1.333005 eta: 1 day, 19:41:22 batch_cost: 2.4059 data_cost: 0.0013 ips: 23.2757 images/s [10/16 12:51:30] ppdet.engine INFO: Epoch: [171] [ 80/523] learning_rate: 0.156059 loss_vfl: 0.818097 loss_bbox: 0.293207 loss_dfl: 0.185781 loss: 1.295467 eta: 1 day, 19:40:37 batch_cost: 2.3995 data_cost: 0.0013 ips: 23.3384 images/s [10/16 12:52:19] ppdet.engine INFO: Epoch: [171] [100/523] learning_rate: 0.155981 loss_vfl: 0.828884 loss_bbox: 0.291491 loss_dfl: 0.190280 loss: 1.304022 eta: 1 day, 19:39:50 batch_cost: 2.3604 data_cost: 0.0012 ips: 23.7243 images/s [10/16 12:53:09] ppdet.engine INFO: Epoch: [171] [120/523] learning_rate: 0.155903 loss_vfl: 0.843068 loss_bbox: 0.276613 loss_dfl: 0.184388 loss: 1.304805 eta: 1 day, 19:39:05 batch_cost: 2.4065 data_cost: 0.0012 ips: 23.2703 images/s [10/16 12:53:59] ppdet.engine INFO: Epoch: [171] [140/523] learning_rate: 0.155824 loss_vfl: 0.822916 loss_bbox: 0.284589 loss_dfl: 0.186965 loss: 1.297293 eta: 1 day, 19:38:19 batch_cost: 2.3898 data_cost: 0.0013 ips: 23.4330 images/s [10/16 12:54:50] ppdet.engine INFO: Epoch: [171] [160/523] learning_rate: 0.155746 loss_vfl: 0.836126 loss_bbox: 0.273470 loss_dfl: 0.183601 loss: 1.301306 eta: 1 day, 19:37:34 batch_cost: 2.4392 data_cost: 0.0012 ips: 22.9587 images/s [10/16 12:55:40] ppdet.engine INFO: Epoch: [171] [180/523] learning_rate: 0.155668 loss_vfl: 0.817515 loss_bbox: 0.294851 loss_dfl: 0.193197 loss: 1.301432 eta: 1 day, 19:36:48 batch_cost: 2.3779 data_cost: 0.0014 ips: 23.5504 images/s [10/16 12:56:28] ppdet.engine INFO: Epoch: [171] [200/523] learning_rate: 0.155590 loss_vfl: 0.826248 loss_bbox: 0.274322 loss_dfl: 0.181500 loss: 1.299888 eta: 1 day, 19:36:01 batch_cost: 2.3002 data_cost: 0.0013 ips: 24.3461 images/s [10/16 12:57:20] ppdet.engine INFO: Epoch: [171] [220/523] learning_rate: 0.155512 loss_vfl: 0.831893 loss_bbox: 0.300378 loss_dfl: 0.188460 loss: 1.327108 eta: 1 day, 19:35:16 batch_cost: 2.4584 data_cost: 0.0013 ips: 22.7791 images/s [10/16 12:58:10] ppdet.engine INFO: Epoch: [171] [240/523] learning_rate: 0.155434 loss_vfl: 0.832184 loss_bbox: 0.279916 loss_dfl: 0.187970 loss: 1.305355 eta: 1 day, 19:34:30 batch_cost: 2.3946 data_cost: 0.0019 ips: 23.3855 images/s [10/16 12:59:01] ppdet.engine INFO: Epoch: [171] [260/523] learning_rate: 0.155356 loss_vfl: 0.840015 loss_bbox: 0.301941 loss_dfl: 0.201118 loss: 1.316348 eta: 1 day, 19:33:44 batch_cost: 2.3946 data_cost: 0.0013 ips: 23.3857 images/s [10/16 12:59:51] ppdet.engine INFO: Epoch: [171] [280/523] learning_rate: 0.155278 loss_vfl: 0.829170 loss_bbox: 0.264796 loss_dfl: 0.179479 loss: 1.263675 eta: 1 day, 19:32:59 batch_cost: 2.4035 data_cost: 0.0014 ips: 23.2997 images/s [10/16 13:00:42] ppdet.engine INFO: Epoch: [171] [300/523] learning_rate: 0.155200 loss_vfl: 0.832946 loss_bbox: 0.278170 loss_dfl: 0.187268 loss: 1.290874 eta: 1 day, 19:32:14 batch_cost: 2.4559 data_cost: 0.0012 ips: 22.8020 images/s [10/16 13:01:33] ppdet.engine INFO: Epoch: [171] [320/523] learning_rate: 0.155122 loss_vfl: 0.851503 loss_bbox: 0.279710 loss_dfl: 0.188006 loss: 1.311944 eta: 1 day, 19:31:29 batch_cost: 2.4235 data_cost: 0.0012 ips: 23.1069 images/s [10/16 13:02:22] ppdet.engine INFO: Epoch: [171] [340/523] learning_rate: 0.155044 loss_vfl: 0.832727 loss_bbox: 0.300017 loss_dfl: 0.192541 loss: 1.306674 eta: 1 day, 19:30:42 batch_cost: 2.3614 data_cost: 0.0013 ips: 23.7144 images/s [10/16 13:03:12] ppdet.engine INFO: Epoch: [171] [360/523] learning_rate: 0.154966 loss_vfl: 0.836816 loss_bbox: 0.293384 loss_dfl: 0.183019 loss: 1.322871 eta: 1 day, 19:29:56 batch_cost: 2.3633 data_cost: 0.0012 ips: 23.6958 images/s [10/16 13:04:01] ppdet.engine INFO: Epoch: [171] [380/523] learning_rate: 0.154888 loss_vfl: 0.813249 loss_bbox: 0.292875 loss_dfl: 0.193670 loss: 1.319617 eta: 1 day, 19:29:10 batch_cost: 2.3500 data_cost: 0.0012 ips: 23.8295 images/s [10/16 13:04:53] ppdet.engine INFO: Epoch: [171] [400/523] learning_rate: 0.154810 loss_vfl: 0.846076 loss_bbox: 0.295140 loss_dfl: 0.195761 loss: 1.325368 eta: 1 day, 19:28:26 batch_cost: 2.5024 data_cost: 0.0019 ips: 22.3789 images/s [10/16 13:05:45] ppdet.engine INFO: Epoch: [171] [420/523] learning_rate: 0.154731 loss_vfl: 0.838765 loss_bbox: 0.280971 loss_dfl: 0.185658 loss: 1.323618 eta: 1 day, 19:27:40 batch_cost: 2.4401 data_cost: 0.0027 ips: 22.9496 images/s [10/16 13:06:34] ppdet.engine INFO: Epoch: [171] [440/523] learning_rate: 0.154653 loss_vfl: 0.827313 loss_bbox: 0.293937 loss_dfl: 0.188457 loss: 1.307238 eta: 1 day, 19:26:54 batch_cost: 2.3469 data_cost: 0.0014 ips: 23.8613 images/s [10/16 13:07:24] ppdet.engine INFO: Epoch: [171] [460/523] learning_rate: 0.154575 loss_vfl: 0.849671 loss_bbox: 0.301539 loss_dfl: 0.193250 loss: 1.337469 eta: 1 day, 19:26:09 batch_cost: 2.4190 data_cost: 0.0014 ips: 23.1501 images/s [10/16 13:08:15] ppdet.engine INFO: Epoch: [171] [480/523] learning_rate: 0.154497 loss_vfl: 0.824837 loss_bbox: 0.286593 loss_dfl: 0.185921 loss: 1.284042 eta: 1 day, 19:25:23 batch_cost: 2.4108 data_cost: 0.0013 ips: 23.2292 images/s [10/16 13:09:06] ppdet.engine INFO: Epoch: [171] [500/523] learning_rate: 0.154420 loss_vfl: 0.840526 loss_bbox: 0.282593 loss_dfl: 0.184709 loss: 1.325816 eta: 1 day, 19:24:38 batch_cost: 2.4602 data_cost: 0.0018 ips: 22.7621 images/s [10/16 13:09:50] ppdet.engine INFO: Epoch: [171] [520/523] learning_rate: 0.154342 loss_vfl: 0.831719 loss_bbox: 0.282171 loss_dfl: 0.187346 loss: 1.317995 eta: 1 day, 19:23:48 batch_cost: 2.1161 data_cost: 0.0012 ips: 26.4640 images/s [10/16 13:10:23] ppdet.engine INFO: Epoch: [172] [ 0/523] learning_rate: 0.154330 loss_vfl: 0.831719 loss_bbox: 0.294348 loss_dfl: 0.190675 loss: 1.331188 eta: 1 day, 19:23:58 batch_cost: 3.2100 data_cost: 0.8236 ips: 17.4457 images/s [10/16 13:11:16] ppdet.engine INFO: Epoch: [172] [ 20/523] learning_rate: 0.154252 loss_vfl: 0.817470 loss_bbox: 0.282107 loss_dfl: 0.186778 loss: 1.290851 eta: 1 day, 19:23:14 batch_cost: 2.4879 data_cost: 0.0018 ips: 22.5090 images/s [10/16 13:12:05] ppdet.engine INFO: Epoch: [172] [ 40/523] learning_rate: 0.154174 loss_vfl: 0.826644 loss_bbox: 0.284015 loss_dfl: 0.191361 loss: 1.296406 eta: 1 day, 19:22:27 batch_cost: 2.3436 data_cost: 0.0016 ips: 23.8947 images/s [10/16 13:12:55] ppdet.engine INFO: Epoch: [172] [ 60/523] learning_rate: 0.154096 loss_vfl: 0.823754 loss_bbox: 0.285388 loss_dfl: 0.189380 loss: 1.308370 eta: 1 day, 19:21:41 batch_cost: 2.3801 data_cost: 0.0013 ips: 23.5284 images/s [10/16 13:13:46] ppdet.engine INFO: Epoch: [172] [ 80/523] learning_rate: 0.154018 loss_vfl: 0.830393 loss_bbox: 0.289659 loss_dfl: 0.191983 loss: 1.314546 eta: 1 day, 19:20:55 batch_cost: 2.4102 data_cost: 0.0013 ips: 23.2347 images/s [10/16 13:14:35] ppdet.engine INFO: Epoch: [172] [100/523] learning_rate: 0.153940 loss_vfl: 0.824984 loss_bbox: 0.284380 loss_dfl: 0.182986 loss: 1.289868 eta: 1 day, 19:20:09 batch_cost: 2.3635 data_cost: 0.0013 ips: 23.6933 images/s [10/16 13:15:25] ppdet.engine INFO: Epoch: [172] [120/523] learning_rate: 0.153862 loss_vfl: 0.828650 loss_bbox: 0.264821 loss_dfl: 0.179022 loss: 1.268960 eta: 1 day, 19:19:23 batch_cost: 2.3944 data_cost: 0.0012 ips: 23.3877 images/s [10/16 13:16:15] ppdet.engine INFO: Epoch: [172] [140/523] learning_rate: 0.153784 loss_vfl: 0.821387 loss_bbox: 0.275838 loss_dfl: 0.184743 loss: 1.293440 eta: 1 day, 19:18:38 batch_cost: 2.3883 data_cost: 0.0019 ips: 23.4481 images/s [10/16 13:17:06] ppdet.engine INFO: Epoch: [172] [160/523] learning_rate: 0.153706 loss_vfl: 0.808938 loss_bbox: 0.285717 loss_dfl: 0.189930 loss: 1.282007 eta: 1 day, 19:17:52 batch_cost: 2.3972 data_cost: 0.0013 ips: 23.3602 images/s [10/16 13:17:59] ppdet.engine INFO: Epoch: [172] [180/523] learning_rate: 0.153628 loss_vfl: 0.841135 loss_bbox: 0.272619 loss_dfl: 0.182667 loss: 1.306481 eta: 1 day, 19:17:08 batch_cost: 2.5314 data_cost: 0.0012 ips: 22.1225 images/s [10/16 13:18:48] ppdet.engine INFO: Epoch: [172] [200/523] learning_rate: 0.153550 loss_vfl: 0.836365 loss_bbox: 0.278577 loss_dfl: 0.186590 loss: 1.306410 eta: 1 day, 19:16:22 batch_cost: 2.3499 data_cost: 0.0012 ips: 23.8310 images/s [10/16 13:19:38] ppdet.engine INFO: Epoch: [172] [220/523] learning_rate: 0.153473 loss_vfl: 0.854031 loss_bbox: 0.267807 loss_dfl: 0.180960 loss: 1.299799 eta: 1 day, 19:15:36 batch_cost: 2.3818 data_cost: 0.0012 ips: 23.5120 images/s [10/16 13:20:27] ppdet.engine INFO: Epoch: [172] [240/523] learning_rate: 0.153395 loss_vfl: 0.815013 loss_bbox: 0.278417 loss_dfl: 0.181677 loss: 1.295274 eta: 1 day, 19:14:49 batch_cost: 2.3307 data_cost: 0.0013 ips: 24.0276 images/s [10/16 13:21:17] ppdet.engine INFO: Epoch: [172] [260/523] learning_rate: 0.153317 loss_vfl: 0.798298 loss_bbox: 0.290858 loss_dfl: 0.186191 loss: 1.277390 eta: 1 day, 19:14:03 batch_cost: 2.4063 data_cost: 0.0012 ips: 23.2720 images/s [10/16 13:22:08] ppdet.engine INFO: Epoch: [172] [280/523] learning_rate: 0.153239 loss_vfl: 0.823402 loss_bbox: 0.296506 loss_dfl: 0.197238 loss: 1.329226 eta: 1 day, 19:13:18 batch_cost: 2.4165 data_cost: 0.0013 ips: 23.1736 images/s [10/16 13:22:59] ppdet.engine INFO: Epoch: [172] [300/523] learning_rate: 0.153161 loss_vfl: 0.838259 loss_bbox: 0.290210 loss_dfl: 0.192120 loss: 1.322841 eta: 1 day, 19:12:33 batch_cost: 2.4490 data_cost: 0.0012 ips: 22.8661 images/s [10/16 13:23:50] ppdet.engine INFO: Epoch: [172] [320/523] learning_rate: 0.153083 loss_vfl: 0.861264 loss_bbox: 0.265546 loss_dfl: 0.177178 loss: 1.307090 eta: 1 day, 19:11:48 batch_cost: 2.4330 data_cost: 0.0022 ips: 23.0165 images/s [10/16 13:24:42] ppdet.engine INFO: Epoch: [172] [340/523] learning_rate: 0.153005 loss_vfl: 0.823168 loss_bbox: 0.274580 loss_dfl: 0.183550 loss: 1.297224 eta: 1 day, 19:11:03 batch_cost: 2.4792 data_cost: 0.0025 ips: 22.5881 images/s [10/16 13:25:31] ppdet.engine INFO: Epoch: [172] [360/523] learning_rate: 0.152927 loss_vfl: 0.840028 loss_bbox: 0.272312 loss_dfl: 0.187282 loss: 1.294424 eta: 1 day, 19:10:17 batch_cost: 2.3774 data_cost: 0.0025 ips: 23.5548 images/s [10/16 13:26:22] ppdet.engine INFO: Epoch: [172] [380/523] learning_rate: 0.152850 loss_vfl: 0.818743 loss_bbox: 0.290664 loss_dfl: 0.193767 loss: 1.326566 eta: 1 day, 19:09:32 batch_cost: 2.4180 data_cost: 0.0012 ips: 23.1596 images/s [10/16 13:27:12] ppdet.engine INFO: Epoch: [172] [400/523] learning_rate: 0.152772 loss_vfl: 0.815157 loss_bbox: 0.281774 loss_dfl: 0.182828 loss: 1.286435 eta: 1 day, 19:08:46 batch_cost: 2.4134 data_cost: 0.0012 ips: 23.2041 images/s [10/16 13:28:03] ppdet.engine INFO: Epoch: [172] [420/523] learning_rate: 0.152694 loss_vfl: 0.806098 loss_bbox: 0.292642 loss_dfl: 0.192004 loss: 1.325765 eta: 1 day, 19:08:01 batch_cost: 2.4104 data_cost: 0.0013 ips: 23.2328 images/s [10/16 13:28:55] ppdet.engine INFO: Epoch: [172] [440/523] learning_rate: 0.152616 loss_vfl: 0.833223 loss_bbox: 0.287498 loss_dfl: 0.191696 loss: 1.307550 eta: 1 day, 19:07:16 batch_cost: 2.4630 data_cost: 0.0012 ips: 22.7369 images/s [10/16 13:29:44] ppdet.engine INFO: Epoch: [172] [460/523] learning_rate: 0.152538 loss_vfl: 0.842231 loss_bbox: 0.291604 loss_dfl: 0.191089 loss: 1.314383 eta: 1 day, 19:06:29 batch_cost: 2.3608 data_cost: 0.0013 ips: 23.7212 images/s [10/16 13:30:35] ppdet.engine INFO: Epoch: [172] [480/523] learning_rate: 0.152461 loss_vfl: 0.836079 loss_bbox: 0.293434 loss_dfl: 0.196083 loss: 1.324649 eta: 1 day, 19:05:44 batch_cost: 2.4135 data_cost: 0.0013 ips: 23.2032 images/s [10/16 13:31:25] ppdet.engine INFO: Epoch: [172] [500/523] learning_rate: 0.152383 loss_vfl: 0.828425 loss_bbox: 0.287969 loss_dfl: 0.184496 loss: 1.298751 eta: 1 day, 19:04:58 batch_cost: 2.3798 data_cost: 0.0013 ips: 23.5310 images/s [10/16 13:32:08] ppdet.engine INFO: Epoch: [172] [520/523] learning_rate: 0.152305 loss_vfl: 0.833277 loss_bbox: 0.290283 loss_dfl: 0.184974 loss: 1.317553 eta: 1 day, 19:04:07 batch_cost: 2.0445 data_cost: 0.0012 ips: 27.3907 images/s [10/16 13:32:40] ppdet.engine INFO: Epoch: [173] [ 0/523] learning_rate: 0.152293 loss_vfl: 0.833879 loss_bbox: 0.280680 loss_dfl: 0.184974 loss: 1.314917 eta: 1 day, 19:04:15 batch_cost: 3.0946 data_cost: 0.7761 ips: 18.0959 images/s [10/16 13:33:32] ppdet.engine INFO: Epoch: [173] [ 20/523] learning_rate: 0.152216 loss_vfl: 0.837608 loss_bbox: 0.281327 loss_dfl: 0.186575 loss: 1.309759 eta: 1 day, 19:03:31 batch_cost: 2.4603 data_cost: 0.0021 ips: 22.7612 images/s [10/16 13:34:24] ppdet.engine INFO: Epoch: [173] [ 40/523] learning_rate: 0.152138 loss_vfl: 0.814547 loss_bbox: 0.289535 loss_dfl: 0.186407 loss: 1.301211 eta: 1 day, 19:02:46 batch_cost: 2.4827 data_cost: 0.0013 ips: 22.5562 images/s [10/16 13:35:14] ppdet.engine INFO: Epoch: [173] [ 60/523] learning_rate: 0.152060 loss_vfl: 0.820446 loss_bbox: 0.303137 loss_dfl: 0.200766 loss: 1.321429 eta: 1 day, 19:02:00 batch_cost: 2.3672 data_cost: 0.0013 ips: 23.6570 images/s [10/16 13:36:04] ppdet.engine INFO: Epoch: [173] [ 80/523] learning_rate: 0.151982 loss_vfl: 0.838169 loss_bbox: 0.273178 loss_dfl: 0.179127 loss: 1.290432 eta: 1 day, 19:01:14 batch_cost: 2.3907 data_cost: 0.0013 ips: 23.4241 images/s [10/16 13:36:53] ppdet.engine INFO: Epoch: [173] [100/523] learning_rate: 0.151905 loss_vfl: 0.832992 loss_bbox: 0.301928 loss_dfl: 0.197060 loss: 1.321645 eta: 1 day, 19:00:28 batch_cost: 2.3611 data_cost: 0.0012 ips: 23.7182 images/s [10/16 13:37:43] ppdet.engine INFO: Epoch: [173] [120/523] learning_rate: 0.151827 loss_vfl: 0.828207 loss_bbox: 0.275959 loss_dfl: 0.179429 loss: 1.292598 eta: 1 day, 18:59:42 batch_cost: 2.3993 data_cost: 0.0025 ips: 23.3402 images/s [10/16 13:38:32] ppdet.engine INFO: Epoch: [173] [140/523] learning_rate: 0.151749 loss_vfl: 0.825813 loss_bbox: 0.280323 loss_dfl: 0.190870 loss: 1.295480 eta: 1 day, 18:58:55 batch_cost: 2.3455 data_cost: 0.0015 ips: 23.8750 images/s [10/16 13:39:21] ppdet.engine INFO: Epoch: [173] [160/523] learning_rate: 0.151671 loss_vfl: 0.824971 loss_bbox: 0.283615 loss_dfl: 0.182964 loss: 1.284457 eta: 1 day, 18:58:09 batch_cost: 2.3261 data_cost: 0.0018 ips: 24.0745 images/s [10/16 13:40:11] ppdet.engine INFO: Epoch: [173] [180/523] learning_rate: 0.151594 loss_vfl: 0.815376 loss_bbox: 0.284881 loss_dfl: 0.185141 loss: 1.283789 eta: 1 day, 18:57:23 batch_cost: 2.4052 data_cost: 0.0034 ips: 23.2826 images/s [10/16 13:41:04] ppdet.engine INFO: Epoch: [173] [200/523] learning_rate: 0.151516 loss_vfl: 0.825321 loss_bbox: 0.279860 loss_dfl: 0.189461 loss: 1.278362 eta: 1 day, 18:56:40 batch_cost: 2.5538 data_cost: 0.0019 ips: 21.9278 images/s [10/16 13:41:54] ppdet.engine INFO: Epoch: [173] [220/523] learning_rate: 0.151438 loss_vfl: 0.832827 loss_bbox: 0.282914 loss_dfl: 0.184755 loss: 1.317176 eta: 1 day, 18:55:53 batch_cost: 2.3581 data_cost: 0.0013 ips: 23.7478 images/s [10/16 13:42:42] ppdet.engine INFO: Epoch: [173] [240/523] learning_rate: 0.151361 loss_vfl: 0.817510 loss_bbox: 0.297713 loss_dfl: 0.188439 loss: 1.297503 eta: 1 day, 18:55:06 batch_cost: 2.3097 data_cost: 0.0013 ips: 24.2453 images/s [10/16 13:43:31] ppdet.engine INFO: Epoch: [173] [260/523] learning_rate: 0.151283 loss_vfl: 0.815432 loss_bbox: 0.290025 loss_dfl: 0.179824 loss: 1.301105 eta: 1 day, 18:54:19 batch_cost: 2.3257 data_cost: 0.0014 ips: 24.0786 images/s [10/16 13:44:19] ppdet.engine INFO: Epoch: [173] [280/523] learning_rate: 0.151205 loss_vfl: 0.832947 loss_bbox: 0.288727 loss_dfl: 0.200909 loss: 1.317176 eta: 1 day, 18:53:32 batch_cost: 2.3147 data_cost: 0.0012 ips: 24.1928 images/s [10/16 13:45:09] ppdet.engine INFO: Epoch: [173] [300/523] learning_rate: 0.151127 loss_vfl: 0.823267 loss_bbox: 0.257852 loss_dfl: 0.181874 loss: 1.286922 eta: 1 day, 18:52:46 batch_cost: 2.3795 data_cost: 0.0013 ips: 23.5339 images/s [10/16 13:45:58] ppdet.engine INFO: Epoch: [173] [320/523] learning_rate: 0.151050 loss_vfl: 0.832548 loss_bbox: 0.271925 loss_dfl: 0.181315 loss: 1.281868 eta: 1 day, 18:52:00 batch_cost: 2.3389 data_cost: 0.0012 ips: 23.9426 images/s [10/16 13:46:46] ppdet.engine INFO: Epoch: [173] [340/523] learning_rate: 0.150972 loss_vfl: 0.810613 loss_bbox: 0.278334 loss_dfl: 0.189672 loss: 1.290507 eta: 1 day, 18:51:13 batch_cost: 2.3195 data_cost: 0.0012 ips: 24.1428 images/s [10/16 13:47:35] ppdet.engine INFO: Epoch: [173] [360/523] learning_rate: 0.150895 loss_vfl: 0.811849 loss_bbox: 0.288484 loss_dfl: 0.192488 loss: 1.292262 eta: 1 day, 18:50:26 batch_cost: 2.3254 data_cost: 0.0013 ips: 24.0819 images/s [10/16 13:48:25] ppdet.engine INFO: Epoch: [173] [380/523] learning_rate: 0.150817 loss_vfl: 0.839707 loss_bbox: 0.289360 loss_dfl: 0.193105 loss: 1.304137 eta: 1 day, 18:49:40 batch_cost: 2.3657 data_cost: 0.0024 ips: 23.6712 images/s [10/16 13:49:14] ppdet.engine INFO: Epoch: [173] [400/523] learning_rate: 0.150739 loss_vfl: 0.817981 loss_bbox: 0.294978 loss_dfl: 0.192020 loss: 1.295040 eta: 1 day, 18:48:54 batch_cost: 2.3803 data_cost: 0.0014 ips: 23.5264 images/s [10/16 13:50:03] ppdet.engine INFO: Epoch: [173] [420/523] learning_rate: 0.150662 loss_vfl: 0.850375 loss_bbox: 0.277248 loss_dfl: 0.183447 loss: 1.312168 eta: 1 day, 18:48:07 batch_cost: 2.3284 data_cost: 0.0015 ips: 24.0504 images/s [10/16 13:50:51] ppdet.engine INFO: Epoch: [173] [440/523] learning_rate: 0.150584 loss_vfl: 0.838466 loss_bbox: 0.288004 loss_dfl: 0.183689 loss: 1.295297 eta: 1 day, 18:47:20 batch_cost: 2.3031 data_cost: 0.0012 ips: 24.3151 images/s [10/16 13:51:41] ppdet.engine INFO: Epoch: [173] [460/523] learning_rate: 0.150506 loss_vfl: 0.812314 loss_bbox: 0.284292 loss_dfl: 0.193940 loss: 1.285266 eta: 1 day, 18:46:33 batch_cost: 2.3463 data_cost: 0.0022 ips: 23.8671 images/s [10/16 13:52:29] ppdet.engine INFO: Epoch: [173] [480/523] learning_rate: 0.150429 loss_vfl: 0.830873 loss_bbox: 0.283620 loss_dfl: 0.187585 loss: 1.303679 eta: 1 day, 18:45:46 batch_cost: 2.3057 data_cost: 0.0012 ips: 24.2879 images/s [10/16 13:53:17] ppdet.engine INFO: Epoch: [173] [500/523] learning_rate: 0.150351 loss_vfl: 0.823542 loss_bbox: 0.291080 loss_dfl: 0.189572 loss: 1.298903 eta: 1 day, 18:44:59 batch_cost: 2.3061 data_cost: 0.0013 ips: 24.2830 images/s [10/16 13:54:00] ppdet.engine INFO: Epoch: [173] [520/523] learning_rate: 0.150274 loss_vfl: 0.831516 loss_bbox: 0.286090 loss_dfl: 0.186320 loss: 1.302214 eta: 1 day, 18:44:08 batch_cost: 2.0260 data_cost: 0.0012 ips: 27.6408 images/s [10/16 13:54:31] ppdet.engine INFO: Epoch: [174] [ 0/523] learning_rate: 0.150262 loss_vfl: 0.833757 loss_bbox: 0.292629 loss_dfl: 0.191718 loss: 1.313406 eta: 1 day, 18:44:16 batch_cost: 3.0692 data_cost: 0.6527 ips: 18.2459 images/s [10/16 13:55:22] ppdet.engine INFO: Epoch: [174] [ 20/523] learning_rate: 0.150184 loss_vfl: 0.814211 loss_bbox: 0.303923 loss_dfl: 0.195029 loss: 1.299594 eta: 1 day, 18:43:30 batch_cost: 2.4339 data_cost: 0.0022 ips: 23.0084 images/s [10/16 13:56:13] ppdet.engine INFO: Epoch: [174] [ 40/523] learning_rate: 0.150107 loss_vfl: 0.811882 loss_bbox: 0.277841 loss_dfl: 0.181740 loss: 1.291007 eta: 1 day, 18:42:45 batch_cost: 2.4218 data_cost: 0.0013 ips: 23.1232 images/s [10/16 13:57:03] ppdet.engine INFO: Epoch: [174] [ 60/523] learning_rate: 0.150029 loss_vfl: 0.824630 loss_bbox: 0.285977 loss_dfl: 0.183722 loss: 1.283605 eta: 1 day, 18:41:59 batch_cost: 2.3912 data_cost: 0.0014 ips: 23.4196 images/s [10/16 13:57:52] ppdet.engine INFO: Epoch: [174] [ 80/523] learning_rate: 0.149952 loss_vfl: 0.817917 loss_bbox: 0.263198 loss_dfl: 0.181936 loss: 1.288274 eta: 1 day, 18:41:12 batch_cost: 2.3331 data_cost: 0.0013 ips: 24.0020 images/s [10/16 13:58:39] ppdet.engine INFO: Epoch: [174] [100/523] learning_rate: 0.149874 loss_vfl: 0.828870 loss_bbox: 0.303537 loss_dfl: 0.192140 loss: 1.328918 eta: 1 day, 18:40:25 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6121 images/s [10/16 13:59:27] ppdet.engine INFO: Epoch: [174] [120/523] learning_rate: 0.149797 loss_vfl: 0.823041 loss_bbox: 0.274524 loss_dfl: 0.188950 loss: 1.296323 eta: 1 day, 18:39:38 batch_cost: 2.3006 data_cost: 0.0024 ips: 24.3417 images/s [10/16 14:00:16] ppdet.engine INFO: Epoch: [174] [140/523] learning_rate: 0.149719 loss_vfl: 0.816463 loss_bbox: 0.293896 loss_dfl: 0.187840 loss: 1.310721 eta: 1 day, 18:38:51 batch_cost: 2.3377 data_cost: 0.0018 ips: 23.9548 images/s [10/16 14:01:06] ppdet.engine INFO: Epoch: [174] [160/523] learning_rate: 0.149642 loss_vfl: 0.830397 loss_bbox: 0.280991 loss_dfl: 0.185711 loss: 1.288354 eta: 1 day, 18:38:05 batch_cost: 2.3677 data_cost: 0.0012 ips: 23.6513 images/s [10/16 14:01:55] ppdet.engine INFO: Epoch: [174] [180/523] learning_rate: 0.149564 loss_vfl: 0.827071 loss_bbox: 0.275941 loss_dfl: 0.187111 loss: 1.308264 eta: 1 day, 18:37:18 batch_cost: 2.3364 data_cost: 0.0013 ips: 23.9680 images/s [10/16 14:02:44] ppdet.engine INFO: Epoch: [174] [200/523] learning_rate: 0.149487 loss_vfl: 0.811367 loss_bbox: 0.304737 loss_dfl: 0.192143 loss: 1.309905 eta: 1 day, 18:36:32 batch_cost: 2.3511 data_cost: 0.0018 ips: 23.8188 images/s [10/16 14:03:33] ppdet.engine INFO: Epoch: [174] [220/523] learning_rate: 0.149409 loss_vfl: 0.802458 loss_bbox: 0.301063 loss_dfl: 0.190434 loss: 1.302890 eta: 1 day, 18:35:45 batch_cost: 2.3553 data_cost: 0.0012 ips: 23.7765 images/s [10/16 14:04:22] ppdet.engine INFO: Epoch: [174] [240/523] learning_rate: 0.149332 loss_vfl: 0.821134 loss_bbox: 0.289610 loss_dfl: 0.195102 loss: 1.299327 eta: 1 day, 18:34:59 batch_cost: 2.3293 data_cost: 0.0013 ips: 24.0412 images/s [10/16 14:05:10] ppdet.engine INFO: Epoch: [174] [260/523] learning_rate: 0.149254 loss_vfl: 0.820459 loss_bbox: 0.282103 loss_dfl: 0.192261 loss: 1.296061 eta: 1 day, 18:34:12 batch_cost: 2.3186 data_cost: 0.0020 ips: 24.1524 images/s [10/16 14:06:00] ppdet.engine INFO: Epoch: [174] [280/523] learning_rate: 0.149177 loss_vfl: 0.831031 loss_bbox: 0.263875 loss_dfl: 0.177033 loss: 1.269619 eta: 1 day, 18:33:26 batch_cost: 2.4144 data_cost: 0.0013 ips: 23.1943 images/s [10/16 14:06:49] ppdet.engine INFO: Epoch: [174] [300/523] learning_rate: 0.149099 loss_vfl: 0.836609 loss_bbox: 0.298531 loss_dfl: 0.190980 loss: 1.309938 eta: 1 day, 18:32:39 batch_cost: 2.2972 data_cost: 0.0024 ips: 24.3780 images/s [10/16 14:07:36] ppdet.engine INFO: Epoch: [174] [320/523] learning_rate: 0.149022 loss_vfl: 0.835635 loss_bbox: 0.284880 loss_dfl: 0.188629 loss: 1.297860 eta: 1 day, 18:31:51 batch_cost: 2.2716 data_cost: 0.0013 ips: 24.6524 images/s [10/16 14:08:24] ppdet.engine INFO: Epoch: [174] [340/523] learning_rate: 0.148944 loss_vfl: 0.836860 loss_bbox: 0.282403 loss_dfl: 0.188326 loss: 1.301991 eta: 1 day, 18:31:04 batch_cost: 2.3049 data_cost: 0.0034 ips: 24.2957 images/s [10/16 14:09:13] ppdet.engine INFO: Epoch: [174] [360/523] learning_rate: 0.148867 loss_vfl: 0.830634 loss_bbox: 0.286612 loss_dfl: 0.191133 loss: 1.309117 eta: 1 day, 18:30:17 batch_cost: 2.3037 data_cost: 0.0013 ips: 24.3084 images/s [10/16 14:10:02] ppdet.engine INFO: Epoch: [174] [380/523] learning_rate: 0.148790 loss_vfl: 0.841695 loss_bbox: 0.272434 loss_dfl: 0.182921 loss: 1.296174 eta: 1 day, 18:29:30 batch_cost: 2.3498 data_cost: 0.0015 ips: 23.8318 images/s [10/16 14:10:51] ppdet.engine INFO: Epoch: [174] [400/523] learning_rate: 0.148712 loss_vfl: 0.850702 loss_bbox: 0.283769 loss_dfl: 0.191317 loss: 1.317408 eta: 1 day, 18:28:44 batch_cost: 2.3383 data_cost: 0.0023 ips: 23.9489 images/s [10/16 14:11:40] ppdet.engine INFO: Epoch: [174] [420/523] learning_rate: 0.148635 loss_vfl: 0.821295 loss_bbox: 0.277655 loss_dfl: 0.186317 loss: 1.303335 eta: 1 day, 18:27:58 batch_cost: 2.3824 data_cost: 0.0013 ips: 23.5054 images/s [10/16 14:12:30] ppdet.engine INFO: Epoch: [174] [440/523] learning_rate: 0.148557 loss_vfl: 0.834987 loss_bbox: 0.277553 loss_dfl: 0.182129 loss: 1.307761 eta: 1 day, 18:27:12 batch_cost: 2.3722 data_cost: 0.0015 ips: 23.6064 images/s [10/16 14:13:20] ppdet.engine INFO: Epoch: [174] [460/523] learning_rate: 0.148480 loss_vfl: 0.838250 loss_bbox: 0.294335 loss_dfl: 0.190931 loss: 1.329476 eta: 1 day, 18:26:26 batch_cost: 2.4040 data_cost: 0.0013 ips: 23.2941 images/s [10/16 14:14:10] ppdet.engine INFO: Epoch: [174] [480/523] learning_rate: 0.148403 loss_vfl: 0.841297 loss_bbox: 0.266059 loss_dfl: 0.180041 loss: 1.306426 eta: 1 day, 18:25:40 batch_cost: 2.3572 data_cost: 0.0012 ips: 23.7572 images/s [10/16 14:14:59] ppdet.engine INFO: Epoch: [174] [500/523] learning_rate: 0.148325 loss_vfl: 0.840372 loss_bbox: 0.272046 loss_dfl: 0.188064 loss: 1.307550 eta: 1 day, 18:24:53 batch_cost: 2.3618 data_cost: 0.0018 ips: 23.7104 images/s [10/16 14:15:42] ppdet.engine INFO: Epoch: [174] [520/523] learning_rate: 0.148248 loss_vfl: 0.849381 loss_bbox: 0.275763 loss_dfl: 0.185018 loss: 1.306573 eta: 1 day, 18:24:02 batch_cost: 2.0482 data_cost: 0.0012 ips: 27.3411 images/s [10/16 14:16:12] ppdet.engine INFO: Epoch: [175] [ 0/523] learning_rate: 0.148236 loss_vfl: 0.836475 loss_bbox: 0.278438 loss_dfl: 0.187445 loss: 1.309016 eta: 1 day, 18:24:08 batch_cost: 2.9586 data_cost: 0.3824 ips: 18.9279 images/s [10/16 14:17:08] ppdet.engine INFO: Epoch: [175] [ 20/523] learning_rate: 0.148159 loss_vfl: 0.828640 loss_bbox: 0.290794 loss_dfl: 0.191404 loss: 1.318069 eta: 1 day, 18:23:26 batch_cost: 2.6586 data_cost: 0.0048 ips: 21.0636 images/s [10/16 14:17:58] ppdet.engine INFO: Epoch: [175] [ 40/523] learning_rate: 0.148081 loss_vfl: 0.838607 loss_bbox: 0.265115 loss_dfl: 0.182312 loss: 1.294347 eta: 1 day, 18:22:41 batch_cost: 2.4010 data_cost: 0.0016 ips: 23.3232 images/s [10/16 14:18:47] ppdet.engine INFO: Epoch: [175] [ 60/523] learning_rate: 0.148004 loss_vfl: 0.827811 loss_bbox: 0.280424 loss_dfl: 0.182487 loss: 1.315757 eta: 1 day, 18:21:54 batch_cost: 2.3693 data_cost: 0.0023 ips: 23.6355 images/s [10/16 14:19:35] ppdet.engine INFO: Epoch: [175] [ 80/523] learning_rate: 0.147927 loss_vfl: 0.824570 loss_bbox: 0.273831 loss_dfl: 0.185597 loss: 1.299297 eta: 1 day, 18:21:07 batch_cost: 2.2652 data_cost: 0.0012 ips: 24.7218 images/s [10/16 14:20:24] ppdet.engine INFO: Epoch: [175] [100/523] learning_rate: 0.147849 loss_vfl: 0.819369 loss_bbox: 0.266877 loss_dfl: 0.180058 loss: 1.256544 eta: 1 day, 18:20:20 batch_cost: 2.3554 data_cost: 0.0013 ips: 23.7748 images/s [10/16 14:21:12] ppdet.engine INFO: Epoch: [175] [120/523] learning_rate: 0.147772 loss_vfl: 0.821226 loss_bbox: 0.252256 loss_dfl: 0.172809 loss: 1.285457 eta: 1 day, 18:19:33 batch_cost: 2.3002 data_cost: 0.0019 ips: 24.3462 images/s [10/16 14:22:00] ppdet.engine INFO: Epoch: [175] [140/523] learning_rate: 0.147695 loss_vfl: 0.826768 loss_bbox: 0.279263 loss_dfl: 0.187955 loss: 1.285658 eta: 1 day, 18:18:46 batch_cost: 2.2999 data_cost: 0.0012 ips: 24.3486 images/s [10/16 14:22:50] ppdet.engine INFO: Epoch: [175] [160/523] learning_rate: 0.147618 loss_vfl: 0.838910 loss_bbox: 0.286911 loss_dfl: 0.184843 loss: 1.311164 eta: 1 day, 18:17:59 batch_cost: 2.3496 data_cost: 0.0013 ips: 23.8335 images/s [10/16 14:23:36] ppdet.engine INFO: Epoch: [175] [180/523] learning_rate: 0.147540 loss_vfl: 0.814632 loss_bbox: 0.281632 loss_dfl: 0.190433 loss: 1.284013 eta: 1 day, 18:17:11 batch_cost: 2.2351 data_cost: 0.0031 ips: 25.0544 images/s [10/16 14:24:26] ppdet.engine INFO: Epoch: [175] [200/523] learning_rate: 0.147463 loss_vfl: 0.824070 loss_bbox: 0.278174 loss_dfl: 0.186046 loss: 1.303840 eta: 1 day, 18:16:25 batch_cost: 2.3963 data_cost: 0.0019 ips: 23.3692 images/s [10/16 14:25:16] ppdet.engine INFO: Epoch: [175] [220/523] learning_rate: 0.147386 loss_vfl: 0.831310 loss_bbox: 0.281938 loss_dfl: 0.184216 loss: 1.290755 eta: 1 day, 18:15:39 batch_cost: 2.3504 data_cost: 0.0013 ips: 23.8253 images/s [10/16 14:26:03] ppdet.engine INFO: Epoch: [175] [240/523] learning_rate: 0.147308 loss_vfl: 0.817165 loss_bbox: 0.271749 loss_dfl: 0.187538 loss: 1.269922 eta: 1 day, 18:14:51 batch_cost: 2.2762 data_cost: 0.0013 ips: 24.6026 images/s [10/16 14:26:53] ppdet.engine INFO: Epoch: [175] [260/523] learning_rate: 0.147231 loss_vfl: 0.811957 loss_bbox: 0.303190 loss_dfl: 0.199992 loss: 1.326531 eta: 1 day, 18:14:05 batch_cost: 2.3744 data_cost: 0.0013 ips: 23.5852 images/s [10/16 14:27:43] ppdet.engine INFO: Epoch: [175] [280/523] learning_rate: 0.147154 loss_vfl: 0.822929 loss_bbox: 0.284283 loss_dfl: 0.183112 loss: 1.284372 eta: 1 day, 18:13:19 batch_cost: 2.3993 data_cost: 0.0013 ips: 23.3399 images/s [10/16 14:28:31] ppdet.engine INFO: Epoch: [175] [300/523] learning_rate: 0.147077 loss_vfl: 0.822524 loss_bbox: 0.273753 loss_dfl: 0.184634 loss: 1.299858 eta: 1 day, 18:12:32 batch_cost: 2.3145 data_cost: 0.0023 ips: 24.1952 images/s [10/16 14:29:21] ppdet.engine INFO: Epoch: [175] [320/523] learning_rate: 0.146999 loss_vfl: 0.831776 loss_bbox: 0.282380 loss_dfl: 0.188314 loss: 1.300535 eta: 1 day, 18:11:47 batch_cost: 2.3964 data_cost: 0.0025 ips: 23.3682 images/s [10/16 14:30:10] ppdet.engine INFO: Epoch: [175] [340/523] learning_rate: 0.146922 loss_vfl: 0.826027 loss_bbox: 0.284059 loss_dfl: 0.187220 loss: 1.304159 eta: 1 day, 18:11:00 batch_cost: 2.3079 data_cost: 0.0027 ips: 24.2644 images/s [10/16 14:30:59] ppdet.engine INFO: Epoch: [175] [360/523] learning_rate: 0.146845 loss_vfl: 0.815867 loss_bbox: 0.277300 loss_dfl: 0.185874 loss: 1.266380 eta: 1 day, 18:10:13 batch_cost: 2.3826 data_cost: 0.0012 ips: 23.5033 images/s [10/16 14:31:48] ppdet.engine INFO: Epoch: [175] [380/523] learning_rate: 0.146768 loss_vfl: 0.818826 loss_bbox: 0.287557 loss_dfl: 0.191055 loss: 1.289223 eta: 1 day, 18:09:27 batch_cost: 2.3167 data_cost: 0.0015 ips: 24.1720 images/s [10/16 14:32:36] ppdet.engine INFO: Epoch: [175] [400/523] learning_rate: 0.146691 loss_vfl: 0.830845 loss_bbox: 0.282768 loss_dfl: 0.186969 loss: 1.313603 eta: 1 day, 18:08:40 batch_cost: 2.3278 data_cost: 0.0026 ips: 24.0575 images/s [10/16 14:33:25] ppdet.engine INFO: Epoch: [175] [420/523] learning_rate: 0.146613 loss_vfl: 0.820724 loss_bbox: 0.302266 loss_dfl: 0.203722 loss: 1.336686 eta: 1 day, 18:07:53 batch_cost: 2.3437 data_cost: 0.0026 ips: 23.8942 images/s [10/16 14:34:14] ppdet.engine INFO: Epoch: [175] [440/523] learning_rate: 0.146536 loss_vfl: 0.815984 loss_bbox: 0.311046 loss_dfl: 0.202178 loss: 1.335481 eta: 1 day, 18:07:06 batch_cost: 2.3123 data_cost: 0.0013 ips: 24.2179 images/s [10/16 14:35:02] ppdet.engine INFO: Epoch: [175] [460/523] learning_rate: 0.146459 loss_vfl: 0.832045 loss_bbox: 0.293525 loss_dfl: 0.197504 loss: 1.316557 eta: 1 day, 18:06:19 batch_cost: 2.2937 data_cost: 0.0024 ips: 24.4142 images/s [10/16 14:35:51] ppdet.engine INFO: Epoch: [175] [480/523] learning_rate: 0.146382 loss_vfl: 0.830582 loss_bbox: 0.285590 loss_dfl: 0.193999 loss: 1.305937 eta: 1 day, 18:05:33 batch_cost: 2.3611 data_cost: 0.0013 ips: 23.7173 images/s [10/16 14:36:39] ppdet.engine INFO: Epoch: [175] [500/523] learning_rate: 0.146305 loss_vfl: 0.808417 loss_bbox: 0.293296 loss_dfl: 0.187878 loss: 1.297099 eta: 1 day, 18:04:45 batch_cost: 2.2874 data_cost: 0.0013 ips: 24.4824 images/s [10/16 14:37:22] ppdet.engine INFO: Epoch: [175] [520/523] learning_rate: 0.146228 loss_vfl: 0.828092 loss_bbox: 0.301014 loss_dfl: 0.192188 loss: 1.334646 eta: 1 day, 18:03:54 batch_cost: 2.0391 data_cost: 0.0013 ips: 27.4631 images/s [10/16 14:37:53] ppdet.engine INFO: Epoch: [176] [ 0/523] learning_rate: 0.146216 loss_vfl: 0.826168 loss_bbox: 0.304695 loss_dfl: 0.195092 loss: 1.345079 eta: 1 day, 18:04:02 batch_cost: 3.0860 data_cost: 0.5453 ips: 18.1465 images/s [10/16 14:38:44] ppdet.engine INFO: Epoch: [176] [ 20/523] learning_rate: 0.146139 loss_vfl: 0.819034 loss_bbox: 0.270104 loss_dfl: 0.187806 loss: 1.272462 eta: 1 day, 18:03:17 batch_cost: 2.4568 data_cost: 0.0015 ips: 22.7939 images/s [10/16 14:39:34] ppdet.engine INFO: Epoch: [176] [ 40/523] learning_rate: 0.146062 loss_vfl: 0.811095 loss_bbox: 0.282677 loss_dfl: 0.184542 loss: 1.286549 eta: 1 day, 18:02:31 batch_cost: 2.3568 data_cost: 0.0028 ips: 23.7611 images/s [10/16 14:40:22] ppdet.engine INFO: Epoch: [176] [ 60/523] learning_rate: 0.145985 loss_vfl: 0.824380 loss_bbox: 0.292614 loss_dfl: 0.188693 loss: 1.305123 eta: 1 day, 18:01:44 batch_cost: 2.3264 data_cost: 0.0014 ips: 24.0718 images/s [10/16 14:41:11] ppdet.engine INFO: Epoch: [176] [ 80/523] learning_rate: 0.145908 loss_vfl: 0.833491 loss_bbox: 0.273193 loss_dfl: 0.178325 loss: 1.298745 eta: 1 day, 18:00:57 batch_cost: 2.3321 data_cost: 0.0012 ips: 24.0130 images/s [10/16 14:42:02] ppdet.engine INFO: Epoch: [176] [100/523] learning_rate: 0.145830 loss_vfl: 0.819101 loss_bbox: 0.286854 loss_dfl: 0.192381 loss: 1.292803 eta: 1 day, 18:00:12 batch_cost: 2.4290 data_cost: 0.0019 ips: 23.0546 images/s [10/16 14:42:51] ppdet.engine INFO: Epoch: [176] [120/523] learning_rate: 0.145753 loss_vfl: 0.834624 loss_bbox: 0.275213 loss_dfl: 0.178988 loss: 1.291891 eta: 1 day, 17:59:25 batch_cost: 2.3383 data_cost: 0.0013 ips: 23.9493 images/s [10/16 14:43:40] ppdet.engine INFO: Epoch: [176] [140/523] learning_rate: 0.145676 loss_vfl: 0.828321 loss_bbox: 0.282975 loss_dfl: 0.195229 loss: 1.297028 eta: 1 day, 17:58:39 batch_cost: 2.3823 data_cost: 0.0013 ips: 23.5063 images/s [10/16 14:44:30] ppdet.engine INFO: Epoch: [176] [160/523] learning_rate: 0.145599 loss_vfl: 0.824294 loss_bbox: 0.285324 loss_dfl: 0.183196 loss: 1.301444 eta: 1 day, 17:57:53 batch_cost: 2.3726 data_cost: 0.0018 ips: 23.6032 images/s [10/16 14:45:19] ppdet.engine INFO: Epoch: [176] [180/523] learning_rate: 0.145522 loss_vfl: 0.822114 loss_bbox: 0.307242 loss_dfl: 0.193023 loss: 1.303800 eta: 1 day, 17:57:06 batch_cost: 2.3541 data_cost: 0.0012 ips: 23.7884 images/s [10/16 14:46:09] ppdet.engine INFO: Epoch: [176] [200/523] learning_rate: 0.145445 loss_vfl: 0.819334 loss_bbox: 0.298239 loss_dfl: 0.194719 loss: 1.324122 eta: 1 day, 17:56:20 batch_cost: 2.3650 data_cost: 0.0022 ips: 23.6783 images/s [10/16 14:46:58] ppdet.engine INFO: Epoch: [176] [220/523] learning_rate: 0.145368 loss_vfl: 0.836225 loss_bbox: 0.279508 loss_dfl: 0.187578 loss: 1.311199 eta: 1 day, 17:55:34 batch_cost: 2.3472 data_cost: 0.0012 ips: 23.8584 images/s [10/16 14:47:46] ppdet.engine INFO: Epoch: [176] [240/523] learning_rate: 0.145291 loss_vfl: 0.801417 loss_bbox: 0.294617 loss_dfl: 0.194277 loss: 1.294764 eta: 1 day, 17:54:46 batch_cost: 2.3078 data_cost: 0.0019 ips: 24.2650 images/s [10/16 14:48:35] ppdet.engine INFO: Epoch: [176] [260/523] learning_rate: 0.145214 loss_vfl: 0.812051 loss_bbox: 0.294563 loss_dfl: 0.190556 loss: 1.310227 eta: 1 day, 17:54:00 batch_cost: 2.3204 data_cost: 0.0039 ips: 24.1342 images/s [10/16 14:49:24] ppdet.engine INFO: Epoch: [176] [280/523] learning_rate: 0.145137 loss_vfl: 0.815542 loss_bbox: 0.273588 loss_dfl: 0.183046 loss: 1.293904 eta: 1 day, 17:53:13 batch_cost: 2.3568 data_cost: 0.0026 ips: 23.7610 images/s [10/16 14:50:13] ppdet.engine INFO: Epoch: [176] [300/523] learning_rate: 0.145060 loss_vfl: 0.829344 loss_bbox: 0.295580 loss_dfl: 0.195428 loss: 1.329885 eta: 1 day, 17:52:27 batch_cost: 2.3717 data_cost: 0.0022 ips: 23.6122 images/s [10/16 14:51:02] ppdet.engine INFO: Epoch: [176] [320/523] learning_rate: 0.144983 loss_vfl: 0.840826 loss_bbox: 0.285007 loss_dfl: 0.191231 loss: 1.326226 eta: 1 day, 17:51:40 batch_cost: 2.3188 data_cost: 0.0013 ips: 24.1507 images/s [10/16 14:51:54] ppdet.engine INFO: Epoch: [176] [340/523] learning_rate: 0.144906 loss_vfl: 0.837351 loss_bbox: 0.276378 loss_dfl: 0.188154 loss: 1.303437 eta: 1 day, 17:50:56 batch_cost: 2.4927 data_cost: 0.0029 ips: 22.4659 images/s [10/16 14:52:46] ppdet.engine INFO: Epoch: [176] [360/523] learning_rate: 0.144829 loss_vfl: 0.828864 loss_bbox: 0.285482 loss_dfl: 0.191621 loss: 1.306820 eta: 1 day, 17:50:11 batch_cost: 2.4699 data_cost: 0.0013 ips: 22.6733 images/s [10/16 14:53:34] ppdet.engine INFO: Epoch: [176] [380/523] learning_rate: 0.144752 loss_vfl: 0.827913 loss_bbox: 0.292550 loss_dfl: 0.189493 loss: 1.332974 eta: 1 day, 17:49:24 batch_cost: 2.3129 data_cost: 0.0012 ips: 24.2123 images/s [10/16 14:54:23] ppdet.engine INFO: Epoch: [176] [400/523] learning_rate: 0.144675 loss_vfl: 0.833866 loss_bbox: 0.286624 loss_dfl: 0.190997 loss: 1.314998 eta: 1 day, 17:48:37 batch_cost: 2.3429 data_cost: 0.0013 ips: 23.9015 images/s [10/16 14:55:11] ppdet.engine INFO: Epoch: [176] [420/523] learning_rate: 0.144598 loss_vfl: 0.833661 loss_bbox: 0.304010 loss_dfl: 0.200986 loss: 1.346281 eta: 1 day, 17:47:50 batch_cost: 2.2839 data_cost: 0.0018 ips: 24.5192 images/s [10/16 14:56:00] ppdet.engine INFO: Epoch: [176] [440/523] learning_rate: 0.144521 loss_vfl: 0.822490 loss_bbox: 0.272869 loss_dfl: 0.186718 loss: 1.302247 eta: 1 day, 17:47:03 batch_cost: 2.3297 data_cost: 0.0013 ips: 24.0376 images/s [10/16 14:56:49] ppdet.engine INFO: Epoch: [176] [460/523] learning_rate: 0.144444 loss_vfl: 0.839020 loss_bbox: 0.278884 loss_dfl: 0.190146 loss: 1.309820 eta: 1 day, 17:46:16 batch_cost: 2.3513 data_cost: 0.0014 ips: 23.8171 images/s [10/16 14:57:39] ppdet.engine INFO: Epoch: [176] [480/523] learning_rate: 0.144367 loss_vfl: 0.835375 loss_bbox: 0.295019 loss_dfl: 0.194053 loss: 1.327807 eta: 1 day, 17:45:30 batch_cost: 2.3754 data_cost: 0.0012 ips: 23.5749 images/s [10/16 14:58:27] ppdet.engine INFO: Epoch: [176] [500/523] learning_rate: 0.144290 loss_vfl: 0.829356 loss_bbox: 0.287817 loss_dfl: 0.189347 loss: 1.307193 eta: 1 day, 17:44:43 batch_cost: 2.3054 data_cost: 0.0012 ips: 24.2909 images/s [10/16 14:59:11] ppdet.engine INFO: Epoch: [176] [520/523] learning_rate: 0.144213 loss_vfl: 0.828565 loss_bbox: 0.285246 loss_dfl: 0.183070 loss: 1.318861 eta: 1 day, 17:43:53 batch_cost: 2.0971 data_cost: 0.0012 ips: 26.7034 images/s [10/16 14:59:38] ppdet.engine INFO: Epoch: [177] [ 0/523] learning_rate: 0.144202 loss_vfl: 0.825291 loss_bbox: 0.286000 loss_dfl: 0.186269 loss: 1.314713 eta: 1 day, 17:43:57 batch_cost: 2.8573 data_cost: 0.4169 ips: 19.5991 images/s [10/16 15:00:32] ppdet.engine INFO: Epoch: [177] 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loss_bbox: 0.269381 loss_dfl: 0.177736 loss: 1.286286 eta: 1 day, 17:40:09 batch_cost: 2.3422 data_cost: 0.0033 ips: 23.9088 images/s [10/16 15:04:41] ppdet.engine INFO: Epoch: [177] [120/523] learning_rate: 0.143740 loss_vfl: 0.820049 loss_bbox: 0.287856 loss_dfl: 0.187094 loss: 1.296554 eta: 1 day, 17:39:23 batch_cost: 2.4145 data_cost: 0.0028 ips: 23.1929 images/s [10/16 15:05:32] ppdet.engine INFO: Epoch: [177] [140/523] learning_rate: 0.143664 loss_vfl: 0.804851 loss_bbox: 0.290513 loss_dfl: 0.188694 loss: 1.284796 eta: 1 day, 17:38:37 batch_cost: 2.4189 data_cost: 0.0028 ips: 23.1507 images/s [10/16 15:06:21] ppdet.engine INFO: Epoch: [177] [160/523] learning_rate: 0.143587 loss_vfl: 0.815882 loss_bbox: 0.277705 loss_dfl: 0.178515 loss: 1.276397 eta: 1 day, 17:37:51 batch_cost: 2.3384 data_cost: 0.0018 ips: 23.9482 images/s [10/16 15:07:10] ppdet.engine INFO: Epoch: [177] [180/523] learning_rate: 0.143510 loss_vfl: 0.810379 loss_bbox: 0.275638 loss_dfl: 0.183428 loss: 1.295873 eta: 1 day, 17:37:04 batch_cost: 2.3639 data_cost: 0.0013 ips: 23.6900 images/s [10/16 15:08:00] ppdet.engine INFO: Epoch: [177] [200/523] learning_rate: 0.143433 loss_vfl: 0.818290 loss_bbox: 0.288484 loss_dfl: 0.187341 loss: 1.305338 eta: 1 day, 17:36:18 batch_cost: 2.3684 data_cost: 0.0017 ips: 23.6445 images/s [10/16 15:08:49] ppdet.engine INFO: Epoch: [177] [220/523] learning_rate: 0.143356 loss_vfl: 0.824030 loss_bbox: 0.276784 loss_dfl: 0.186799 loss: 1.283261 eta: 1 day, 17:35:31 batch_cost: 2.3359 data_cost: 0.0012 ips: 23.9739 images/s [10/16 15:09:38] ppdet.engine INFO: Epoch: [177] [240/523] learning_rate: 0.143279 loss_vfl: 0.834825 loss_bbox: 0.288195 loss_dfl: 0.188025 loss: 1.329441 eta: 1 day, 17:34:45 batch_cost: 2.3807 data_cost: 0.0020 ips: 23.5226 images/s [10/16 15:10:28] ppdet.engine INFO: Epoch: [177] [260/523] learning_rate: 0.143203 loss_vfl: 0.820163 loss_bbox: 0.279221 loss_dfl: 0.187822 loss: 1.290527 eta: 1 day, 17:33:59 batch_cost: 2.3602 data_cost: 0.0014 ips: 23.7268 images/s [10/16 15:11:18] ppdet.engine INFO: Epoch: [177] [280/523] learning_rate: 0.143126 loss_vfl: 0.815467 loss_bbox: 0.275875 loss_dfl: 0.185749 loss: 1.275015 eta: 1 day, 17:33:13 batch_cost: 2.4085 data_cost: 0.0014 ips: 23.2511 images/s [10/16 15:12:07] ppdet.engine INFO: Epoch: [177] [300/523] learning_rate: 0.143049 loss_vfl: 0.830168 loss_bbox: 0.295928 loss_dfl: 0.190347 loss: 1.312695 eta: 1 day, 17:32:26 batch_cost: 2.3104 data_cost: 0.0024 ips: 24.2378 images/s [10/16 15:12:57] ppdet.engine INFO: Epoch: [177] [320/523] learning_rate: 0.142972 loss_vfl: 0.819370 loss_bbox: 0.275637 loss_dfl: 0.182987 loss: 1.299054 eta: 1 day, 17:31:41 batch_cost: 2.4089 data_cost: 0.0014 ips: 23.2472 images/s [10/16 15:13:48] ppdet.engine INFO: Epoch: [177] [340/523] learning_rate: 0.142896 loss_vfl: 0.829714 loss_bbox: 0.287181 loss_dfl: 0.184701 loss: 1.291847 eta: 1 day, 17:30:55 batch_cost: 2.4432 data_cost: 0.0025 ips: 22.9210 images/s [10/16 15:14:38] ppdet.engine INFO: Epoch: [177] [360/523] learning_rate: 0.142819 loss_vfl: 0.832467 loss_bbox: 0.270480 loss_dfl: 0.176545 loss: 1.267185 eta: 1 day, 17:30:10 batch_cost: 2.4049 data_cost: 0.0030 ips: 23.2859 images/s [10/16 15:15:28] ppdet.engine INFO: Epoch: [177] [380/523] learning_rate: 0.142742 loss_vfl: 0.819208 loss_bbox: 0.276399 loss_dfl: 0.184448 loss: 1.296607 eta: 1 day, 17:29:24 batch_cost: 2.3917 data_cost: 0.0013 ips: 23.4140 images/s [10/16 15:16:17] ppdet.engine INFO: Epoch: [177] [400/523] learning_rate: 0.142665 loss_vfl: 0.823526 loss_bbox: 0.295700 loss_dfl: 0.194508 loss: 1.338124 eta: 1 day, 17:28:37 batch_cost: 2.3206 data_cost: 0.0019 ips: 24.1312 images/s [10/16 15:17:06] ppdet.engine INFO: Epoch: [177] [420/523] learning_rate: 0.142589 loss_vfl: 0.803502 loss_bbox: 0.286257 loss_dfl: 0.191515 loss: 1.303553 eta: 1 day, 17:27:50 batch_cost: 2.3673 data_cost: 0.0015 ips: 23.6559 images/s [10/16 15:17:55] ppdet.engine INFO: Epoch: [177] [440/523] learning_rate: 0.142512 loss_vfl: 0.836735 loss_bbox: 0.277288 loss_dfl: 0.178967 loss: 1.297249 eta: 1 day, 17:27:04 batch_cost: 2.3514 data_cost: 0.0026 ips: 23.8154 images/s [10/16 15:18:45] ppdet.engine INFO: Epoch: [177] [460/523] learning_rate: 0.142435 loss_vfl: 0.825502 loss_bbox: 0.274566 loss_dfl: 0.177902 loss: 1.283487 eta: 1 day, 17:26:18 batch_cost: 2.3652 data_cost: 0.0012 ips: 23.6769 images/s [10/16 15:19:34] ppdet.engine INFO: Epoch: [177] [480/523] learning_rate: 0.142359 loss_vfl: 0.819073 loss_bbox: 0.288411 loss_dfl: 0.190192 loss: 1.289102 eta: 1 day, 17:25:31 batch_cost: 2.3464 data_cost: 0.0025 ips: 23.8661 images/s [10/16 15:20:23] ppdet.engine INFO: Epoch: [177] [500/523] learning_rate: 0.142282 loss_vfl: 0.827712 loss_bbox: 0.300428 loss_dfl: 0.195824 loss: 1.321488 eta: 1 day, 17:24:45 batch_cost: 2.3704 data_cost: 0.0013 ips: 23.6244 images/s [10/16 15:21:06] ppdet.engine INFO: Epoch: [177] [520/523] learning_rate: 0.142205 loss_vfl: 0.835904 loss_bbox: 0.310756 loss_dfl: 0.202088 loss: 1.349505 eta: 1 day, 17:23:54 batch_cost: 2.0101 data_cost: 0.0020 ips: 27.8596 images/s [10/16 15:21:40] ppdet.engine INFO: Epoch: [178] [ 0/523] learning_rate: 0.142194 loss_vfl: 0.827885 loss_bbox: 0.304964 loss_dfl: 0.199341 loss: 1.330231 eta: 1 day, 17:24:02 batch_cost: 3.1884 data_cost: 0.9085 ips: 17.5634 images/s [10/16 15:22:29] ppdet.engine INFO: Epoch: [178] [ 20/523] learning_rate: 0.142117 loss_vfl: 0.819696 loss_bbox: 0.293347 loss_dfl: 0.187134 loss: 1.314783 eta: 1 day, 17:23:16 batch_cost: 2.3504 data_cost: 0.0015 ips: 23.8258 images/s [10/16 15:23:17] ppdet.engine INFO: Epoch: [178] [ 40/523] learning_rate: 0.142040 loss_vfl: 0.826780 loss_bbox: 0.275571 loss_dfl: 0.183335 loss: 1.272908 eta: 1 day, 17:22:29 batch_cost: 2.3120 data_cost: 0.0012 ips: 24.2212 images/s [10/16 15:24:07] ppdet.engine INFO: Epoch: [178] [ 60/523] learning_rate: 0.141964 loss_vfl: 0.815478 loss_bbox: 0.269739 loss_dfl: 0.179181 loss: 1.278603 eta: 1 day, 17:21:43 batch_cost: 2.3822 data_cost: 0.0035 ips: 23.5079 images/s [10/16 15:24:56] ppdet.engine INFO: Epoch: [178] [ 80/523] learning_rate: 0.141887 loss_vfl: 0.810940 loss_bbox: 0.271842 loss_dfl: 0.186403 loss: 1.280847 eta: 1 day, 17:20:56 batch_cost: 2.3644 data_cost: 0.0015 ips: 23.6842 images/s [10/16 15:25:46] ppdet.engine INFO: Epoch: [178] [100/523] learning_rate: 0.141810 loss_vfl: 0.809064 loss_bbox: 0.261871 loss_dfl: 0.178039 loss: 1.250202 eta: 1 day, 17:20:10 batch_cost: 2.3583 data_cost: 0.0012 ips: 23.7461 images/s [10/16 15:26:35] ppdet.engine INFO: Epoch: [178] [120/523] learning_rate: 0.141734 loss_vfl: 0.819811 loss_bbox: 0.283427 loss_dfl: 0.187015 loss: 1.289777 eta: 1 day, 17:19:24 batch_cost: 2.3745 data_cost: 0.0016 ips: 23.5835 images/s [10/16 15:27:26] ppdet.engine INFO: Epoch: [178] [140/523] learning_rate: 0.141657 loss_vfl: 0.810679 loss_bbox: 0.282229 loss_dfl: 0.185149 loss: 1.293662 eta: 1 day, 17:18:39 batch_cost: 2.4499 data_cost: 0.0019 ips: 22.8581 images/s [10/16 15:28:18] ppdet.engine INFO: Epoch: [178] [160/523] learning_rate: 0.141581 loss_vfl: 0.819437 loss_bbox: 0.283261 loss_dfl: 0.185450 loss: 1.294455 eta: 1 day, 17:17:54 batch_cost: 2.4572 data_cost: 0.0061 ips: 22.7906 images/s [10/16 15:29:07] ppdet.engine INFO: Epoch: [178] [180/523] learning_rate: 0.141504 loss_vfl: 0.812155 loss_bbox: 0.285494 loss_dfl: 0.185379 loss: 1.289770 eta: 1 day, 17:17:07 batch_cost: 2.3157 data_cost: 0.0012 ips: 24.1823 images/s [10/16 15:29:56] ppdet.engine INFO: Epoch: [178] [200/523] learning_rate: 0.141427 loss_vfl: 0.825464 loss_bbox: 0.293877 loss_dfl: 0.193377 loss: 1.307128 eta: 1 day, 17:16:20 batch_cost: 2.3517 data_cost: 0.0014 ips: 23.8130 images/s [10/16 15:30:45] ppdet.engine INFO: Epoch: [178] [220/523] learning_rate: 0.141351 loss_vfl: 0.815276 loss_bbox: 0.270115 loss_dfl: 0.180950 loss: 1.267675 eta: 1 day, 17:15:33 batch_cost: 2.3411 data_cost: 0.0013 ips: 23.9207 images/s [10/16 15:31:33] ppdet.engine INFO: Epoch: [178] [240/523] learning_rate: 0.141274 loss_vfl: 0.810110 loss_bbox: 0.312411 loss_dfl: 0.195775 loss: 1.317726 eta: 1 day, 17:14:46 batch_cost: 2.2680 data_cost: 0.0021 ips: 24.6909 images/s [10/16 15:32:21] ppdet.engine INFO: Epoch: [178] [260/523] learning_rate: 0.141198 loss_vfl: 0.832589 loss_bbox: 0.283852 loss_dfl: 0.188705 loss: 1.321364 eta: 1 day, 17:13:59 batch_cost: 2.3110 data_cost: 0.0013 ips: 24.2320 images/s [10/16 15:33:09] ppdet.engine INFO: Epoch: [178] [280/523] learning_rate: 0.141121 loss_vfl: 0.838247 loss_bbox: 0.264866 loss_dfl: 0.178323 loss: 1.287096 eta: 1 day, 17:13:11 batch_cost: 2.2864 data_cost: 0.0029 ips: 24.4923 images/s [10/16 15:33:57] ppdet.engine INFO: Epoch: [178] [300/523] learning_rate: 0.141045 loss_vfl: 0.828607 loss_bbox: 0.287494 loss_dfl: 0.187958 loss: 1.311952 eta: 1 day, 17:12:24 batch_cost: 2.3028 data_cost: 0.0012 ips: 24.3186 images/s [10/16 15:34:45] ppdet.engine INFO: Epoch: [178] [320/523] learning_rate: 0.140968 loss_vfl: 0.821297 loss_bbox: 0.262522 loss_dfl: 0.182731 loss: 1.281836 eta: 1 day, 17:11:37 batch_cost: 2.3018 data_cost: 0.0025 ips: 24.3293 images/s [10/16 15:35:34] ppdet.engine INFO: Epoch: [178] [340/523] learning_rate: 0.140892 loss_vfl: 0.827275 loss_bbox: 0.292267 loss_dfl: 0.190483 loss: 1.313863 eta: 1 day, 17:10:50 batch_cost: 2.3239 data_cost: 0.0013 ips: 24.0970 images/s [10/16 15:36:23] ppdet.engine INFO: Epoch: [178] [360/523] learning_rate: 0.140815 loss_vfl: 0.835438 loss_bbox: 0.281885 loss_dfl: 0.188652 loss: 1.285949 eta: 1 day, 17:10:03 batch_cost: 2.3276 data_cost: 0.0022 ips: 24.0589 images/s [10/16 15:37:13] ppdet.engine INFO: Epoch: [178] [380/523] learning_rate: 0.140739 loss_vfl: 0.839052 loss_bbox: 0.288414 loss_dfl: 0.193061 loss: 1.315243 eta: 1 day, 17:09:17 batch_cost: 2.3870 data_cost: 0.0028 ips: 23.4607 images/s [10/16 15:38:03] ppdet.engine INFO: Epoch: [178] [400/523] learning_rate: 0.140662 loss_vfl: 0.829014 loss_bbox: 0.281181 loss_dfl: 0.178950 loss: 1.281826 eta: 1 day, 17:08:31 batch_cost: 2.3858 data_cost: 0.0019 ips: 23.4726 images/s [10/16 15:38:52] ppdet.engine INFO: Epoch: [178] [420/523] learning_rate: 0.140586 loss_vfl: 0.818777 loss_bbox: 0.280850 loss_dfl: 0.185818 loss: 1.291582 eta: 1 day, 17:07:45 batch_cost: 2.3663 data_cost: 0.0019 ips: 23.6655 images/s [10/16 15:39:41] ppdet.engine INFO: Epoch: [178] [440/523] learning_rate: 0.140509 loss_vfl: 0.819111 loss_bbox: 0.275009 loss_dfl: 0.184439 loss: 1.294985 eta: 1 day, 17:06:58 batch_cost: 2.3161 data_cost: 0.0031 ips: 24.1786 images/s [10/16 15:40:31] ppdet.engine INFO: Epoch: [178] [460/523] learning_rate: 0.140433 loss_vfl: 0.830092 loss_bbox: 0.274459 loss_dfl: 0.186421 loss: 1.295162 eta: 1 day, 17:06:12 batch_cost: 2.4074 data_cost: 0.0035 ips: 23.2617 images/s [10/16 15:41:20] ppdet.engine INFO: Epoch: [178] [480/523] learning_rate: 0.140356 loss_vfl: 0.829915 loss_bbox: 0.280520 loss_dfl: 0.184355 loss: 1.297441 eta: 1 day, 17:05:26 batch_cost: 2.3554 data_cost: 0.0029 ips: 23.7756 images/s [10/16 15:42:09] ppdet.engine INFO: Epoch: [178] [500/523] learning_rate: 0.140280 loss_vfl: 0.841628 loss_bbox: 0.291252 loss_dfl: 0.187756 loss: 1.317991 eta: 1 day, 17:04:39 batch_cost: 2.3156 data_cost: 0.0030 ips: 24.1834 images/s [10/16 15:42:52] ppdet.engine INFO: Epoch: [178] [520/523] learning_rate: 0.140203 loss_vfl: 0.816880 loss_bbox: 0.284028 loss_dfl: 0.190105 loss: 1.301200 eta: 1 day, 17:03:48 batch_cost: 2.0654 data_cost: 0.0012 ips: 27.1133 images/s [10/16 15:43:19] ppdet.engine INFO: Epoch: [179] [ 0/523] learning_rate: 0.140192 loss_vfl: 0.821759 loss_bbox: 0.280337 loss_dfl: 0.189947 loss: 1.304338 eta: 1 day, 17:03:52 batch_cost: 2.8386 data_cost: 0.4603 ips: 19.7278 images/s [10/16 15:44:14] ppdet.engine INFO: Epoch: [179] [ 20/523] learning_rate: 0.140115 loss_vfl: 0.831000 loss_bbox: 0.275590 loss_dfl: 0.184213 loss: 1.299164 eta: 1 day, 17:03:10 batch_cost: 2.6508 data_cost: 0.0013 ips: 21.1261 images/s [10/16 15:45:04] ppdet.engine INFO: Epoch: [179] [ 40/523] learning_rate: 0.140039 loss_vfl: 0.810361 loss_bbox: 0.287244 loss_dfl: 0.182925 loss: 1.281007 eta: 1 day, 17:02:23 batch_cost: 2.3567 data_cost: 0.0013 ips: 23.7618 images/s [10/16 15:45:53] ppdet.engine INFO: Epoch: [179] [ 60/523] learning_rate: 0.139963 loss_vfl: 0.817598 loss_bbox: 0.285725 loss_dfl: 0.186999 loss: 1.285773 eta: 1 day, 17:01:37 batch_cost: 2.3683 data_cost: 0.0013 ips: 23.6453 images/s [10/16 15:46:43] ppdet.engine INFO: Epoch: [179] [ 80/523] learning_rate: 0.139886 loss_vfl: 0.817521 loss_bbox: 0.286848 loss_dfl: 0.190505 loss: 1.302718 eta: 1 day, 17:00:51 batch_cost: 2.3686 data_cost: 0.0043 ips: 23.6429 images/s [10/16 15:47:32] ppdet.engine INFO: Epoch: [179] [100/523] learning_rate: 0.139810 loss_vfl: 0.806862 loss_bbox: 0.283126 loss_dfl: 0.185360 loss: 1.312184 eta: 1 day, 17:00:04 batch_cost: 2.3470 data_cost: 0.0034 ips: 23.8605 images/s [10/16 15:48:20] ppdet.engine INFO: Epoch: [179] [120/523] learning_rate: 0.139733 loss_vfl: 0.810540 loss_bbox: 0.292430 loss_dfl: 0.189815 loss: 1.304142 eta: 1 day, 16:59:17 batch_cost: 2.2939 data_cost: 0.0019 ips: 24.4121 images/s [10/16 15:49:10] ppdet.engine INFO: Epoch: [179] [140/523] learning_rate: 0.139657 loss_vfl: 0.843795 loss_bbox: 0.287782 loss_dfl: 0.188935 loss: 1.308550 eta: 1 day, 16:58:31 batch_cost: 2.3738 data_cost: 0.0013 ips: 23.5913 images/s [10/16 15:49:59] ppdet.engine INFO: Epoch: [179] [160/523] learning_rate: 0.139581 loss_vfl: 0.818176 loss_bbox: 0.296364 loss_dfl: 0.195698 loss: 1.302160 eta: 1 day, 16:57:44 batch_cost: 2.3421 data_cost: 0.0033 ips: 23.9105 images/s [10/16 15:50:47] ppdet.engine INFO: Epoch: [179] [180/523] learning_rate: 0.139504 loss_vfl: 0.825417 loss_bbox: 0.305398 loss_dfl: 0.199964 loss: 1.343967 eta: 1 day, 16:56:57 batch_cost: 2.2915 data_cost: 0.0012 ips: 24.4377 images/s [10/16 15:51:35] ppdet.engine INFO: Epoch: [179] [200/523] learning_rate: 0.139428 loss_vfl: 0.818101 loss_bbox: 0.285835 loss_dfl: 0.188991 loss: 1.301490 eta: 1 day, 16:56:10 batch_cost: 2.3220 data_cost: 0.0013 ips: 24.1170 images/s [10/16 15:52:25] ppdet.engine INFO: Epoch: [179] [220/523] learning_rate: 0.139352 loss_vfl: 0.827765 loss_bbox: 0.265695 loss_dfl: 0.183413 loss: 1.275906 eta: 1 day, 16:55:23 batch_cost: 2.3721 data_cost: 0.0027 ips: 23.6079 images/s [10/16 15:53:14] ppdet.engine INFO: Epoch: [179] [240/523] learning_rate: 0.139275 loss_vfl: 0.817924 loss_bbox: 0.310517 loss_dfl: 0.207797 loss: 1.335724 eta: 1 day, 16:54:37 batch_cost: 2.3445 data_cost: 0.0025 ips: 23.8853 images/s [10/16 15:54:03] ppdet.engine INFO: Epoch: [179] [260/523] learning_rate: 0.139199 loss_vfl: 0.842048 loss_bbox: 0.280754 loss_dfl: 0.180244 loss: 1.283080 eta: 1 day, 16:53:50 batch_cost: 2.3515 data_cost: 0.0013 ips: 23.8149 images/s [10/16 15:54:52] ppdet.engine INFO: Epoch: [179] [280/523] learning_rate: 0.139123 loss_vfl: 0.816766 loss_bbox: 0.294786 loss_dfl: 0.193647 loss: 1.302593 eta: 1 day, 16:53:03 batch_cost: 2.3295 data_cost: 0.0044 ips: 24.0392 images/s [10/16 15:55:41] ppdet.engine INFO: Epoch: [179] [300/523] learning_rate: 0.139047 loss_vfl: 0.828695 loss_bbox: 0.292162 loss_dfl: 0.196267 loss: 1.303843 eta: 1 day, 16:52:17 batch_cost: 2.3679 data_cost: 0.0014 ips: 23.6492 images/s [10/16 15:56:31] ppdet.engine INFO: Epoch: [179] [320/523] learning_rate: 0.138970 loss_vfl: 0.834227 loss_bbox: 0.283553 loss_dfl: 0.185612 loss: 1.304387 eta: 1 day, 16:51:31 batch_cost: 2.3835 data_cost: 0.0013 ips: 23.4953 images/s [10/16 15:57:21] ppdet.engine INFO: Epoch: [179] [340/523] learning_rate: 0.138894 loss_vfl: 0.792782 loss_bbox: 0.296790 loss_dfl: 0.192013 loss: 1.283769 eta: 1 day, 16:50:45 batch_cost: 2.3891 data_cost: 0.0025 ips: 23.4398 images/s [10/16 15:58:10] ppdet.engine INFO: Epoch: [179] [360/523] learning_rate: 0.138818 loss_vfl: 0.842640 loss_bbox: 0.278512 loss_dfl: 0.189416 loss: 1.303877 eta: 1 day, 16:49:59 batch_cost: 2.3585 data_cost: 0.0012 ips: 23.7442 images/s [10/16 15:58:58] ppdet.engine INFO: Epoch: [179] [380/523] learning_rate: 0.138741 loss_vfl: 0.822816 loss_bbox: 0.292141 loss_dfl: 0.190823 loss: 1.293628 eta: 1 day, 16:49:11 batch_cost: 2.2861 data_cost: 0.0014 ips: 24.4954 images/s [10/16 15:59:47] ppdet.engine INFO: Epoch: [179] [400/523] learning_rate: 0.138665 loss_vfl: 0.827925 loss_bbox: 0.276196 loss_dfl: 0.186513 loss: 1.306859 eta: 1 day, 16:48:25 batch_cost: 2.3514 data_cost: 0.0026 ips: 23.8156 images/s [10/16 16:00:36] ppdet.engine INFO: Epoch: [179] [420/523] learning_rate: 0.138589 loss_vfl: 0.821409 loss_bbox: 0.281919 loss_dfl: 0.191040 loss: 1.300269 eta: 1 day, 16:47:38 batch_cost: 2.3361 data_cost: 0.0034 ips: 23.9719 images/s [10/16 16:01:24] ppdet.engine INFO: Epoch: [179] [440/523] learning_rate: 0.138513 loss_vfl: 0.811406 loss_bbox: 0.285900 loss_dfl: 0.187397 loss: 1.286238 eta: 1 day, 16:46:51 batch_cost: 2.3154 data_cost: 0.0012 ips: 24.1855 images/s [10/16 16:02:13] ppdet.engine INFO: Epoch: [179] [460/523] learning_rate: 0.138437 loss_vfl: 0.825579 loss_bbox: 0.280060 loss_dfl: 0.186536 loss: 1.295826 eta: 1 day, 16:46:04 batch_cost: 2.3079 data_cost: 0.0031 ips: 24.2644 images/s [10/16 16:03:04] ppdet.engine INFO: Epoch: [179] [480/523] learning_rate: 0.138360 loss_vfl: 0.810628 loss_bbox: 0.281241 loss_dfl: 0.186040 loss: 1.283256 eta: 1 day, 16:45:18 batch_cost: 2.4097 data_cost: 0.0041 ips: 23.2398 images/s [10/16 16:03:55] ppdet.engine INFO: Epoch: [179] [500/523] learning_rate: 0.138284 loss_vfl: 0.835242 loss_bbox: 0.260364 loss_dfl: 0.180803 loss: 1.279108 eta: 1 day, 16:44:33 batch_cost: 2.4608 data_cost: 0.0052 ips: 22.7572 images/s [10/16 16:04:38] ppdet.engine INFO: Epoch: [179] [520/523] learning_rate: 0.138208 loss_vfl: 0.830613 loss_bbox: 0.300157 loss_dfl: 0.194988 loss: 1.321655 eta: 1 day, 16:43:43 batch_cost: 2.0570 data_cost: 0.0012 ips: 27.2236 images/s [10/16 16:04:47] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 16:04:47] ppdet.engine INFO: Eval iter: 0 [10/16 16:05:27] ppdet.engine INFO: Eval iter: 100 [10/16 16:05:47] ppdet.engine INFO: Eval iter: 200 [10/16 16:06:08] ppdet.engine INFO: Eval iter: 300 [10/16 16:06:28] ppdet.engine INFO: Eval iter: 400 [10/16 16:06:48] ppdet.engine INFO: Eval iter: 500 [10/16 16:07:08] ppdet.engine INFO: Eval iter: 600 [10/16 16:07:30] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/16 16:07:30] 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=100.37s). Accumulating evaluation results... DONE (t=18.44s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.353 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.510 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.374 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.145 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 ] = 0.568 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.302 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 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 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.746 [10/16 16:09:36] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.71999930069437 [10/16 16:09:36] ppdet.engine INFO: Best test bbox ap is 0.353. [10/16 16:09:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 16:09:38] ppdet.engine INFO: Epoch: [180] [ 0/523] learning_rate: 0.138197 loss_vfl: 0.830613 loss_bbox: 0.298008 loss_dfl: 0.193854 loss: 1.321655 eta: 1 day, 16:43:35 batch_cost: 1.9869 data_cost: 0.0013 ips: 28.1844 images/s [10/16 16:10:30] ppdet.engine INFO: Epoch: [180] [ 20/523] learning_rate: 0.138120 loss_vfl: 0.831076 loss_bbox: 0.291352 loss_dfl: 0.187200 loss: 1.294262 eta: 1 day, 16:42:50 batch_cost: 2.4679 data_cost: 0.0020 ips: 22.6916 images/s [10/16 16:11:20] ppdet.engine INFO: Epoch: [180] [ 40/523] learning_rate: 0.138044 loss_vfl: 0.826951 loss_bbox: 0.285413 loss_dfl: 0.187842 loss: 1.300151 eta: 1 day, 16:42:04 batch_cost: 2.4208 data_cost: 0.0012 ips: 23.1333 images/s [10/16 16:12:10] ppdet.engine INFO: Epoch: [180] [ 60/523] learning_rate: 0.137968 loss_vfl: 0.798575 loss_bbox: 0.269405 loss_dfl: 0.179327 loss: 1.247997 eta: 1 day, 16:41:18 batch_cost: 2.3683 data_cost: 0.0012 ips: 23.6455 images/s [10/16 16:12:59] ppdet.engine INFO: Epoch: [180] [ 80/523] learning_rate: 0.137892 loss_vfl: 0.828362 loss_bbox: 0.288092 loss_dfl: 0.188014 loss: 1.306537 eta: 1 day, 16:40:31 batch_cost: 2.3576 data_cost: 0.0013 ips: 23.7531 images/s [10/16 16:13:48] ppdet.engine INFO: Epoch: [180] [100/523] learning_rate: 0.137816 loss_vfl: 0.827984 loss_bbox: 0.285155 loss_dfl: 0.196959 loss: 1.294603 eta: 1 day, 16:39:45 batch_cost: 2.3428 data_cost: 0.0014 ips: 23.9028 images/s [10/16 16:14:36] ppdet.engine INFO: Epoch: [180] [120/523] learning_rate: 0.137740 loss_vfl: 0.802707 loss_bbox: 0.274963 loss_dfl: 0.191005 loss: 1.261125 eta: 1 day, 16:38:57 batch_cost: 2.2721 data_cost: 0.0013 ips: 24.6463 images/s [10/16 16:15:25] ppdet.engine INFO: Epoch: [180] [140/523] learning_rate: 0.137664 loss_vfl: 0.828526 loss_bbox: 0.274745 loss_dfl: 0.177007 loss: 1.264200 eta: 1 day, 16:38:10 batch_cost: 2.3119 data_cost: 0.0019 ips: 24.2225 images/s [10/16 16:16:14] ppdet.engine INFO: Epoch: [180] [160/523] learning_rate: 0.137588 loss_vfl: 0.812900 loss_bbox: 0.263264 loss_dfl: 0.180521 loss: 1.263635 eta: 1 day, 16:37:24 batch_cost: 2.3563 data_cost: 0.0035 ips: 23.7666 images/s [10/16 16:17:02] ppdet.engine INFO: Epoch: [180] [180/523] learning_rate: 0.137511 loss_vfl: 0.823696 loss_bbox: 0.278990 loss_dfl: 0.185852 loss: 1.287131 eta: 1 day, 16:36:36 batch_cost: 2.2695 data_cost: 0.0012 ips: 24.6751 images/s [10/16 16:17:50] ppdet.engine INFO: Epoch: [180] [200/523] learning_rate: 0.137435 loss_vfl: 0.821804 loss_bbox: 0.306038 loss_dfl: 0.200481 loss: 1.334064 eta: 1 day, 16:35:49 batch_cost: 2.3232 data_cost: 0.0012 ips: 24.1046 images/s [10/16 16:18:39] ppdet.engine INFO: Epoch: [180] [220/523] learning_rate: 0.137359 loss_vfl: 0.843954 loss_bbox: 0.283085 loss_dfl: 0.184855 loss: 1.315274 eta: 1 day, 16:35:02 batch_cost: 2.3314 data_cost: 0.0012 ips: 24.0198 images/s [10/16 16:19:27] ppdet.engine INFO: Epoch: [180] [240/523] learning_rate: 0.137283 loss_vfl: 0.844921 loss_bbox: 0.284412 loss_dfl: 0.186901 loss: 1.308579 eta: 1 day, 16:34:15 batch_cost: 2.3101 data_cost: 0.0013 ips: 24.2410 images/s [10/16 16:20:17] ppdet.engine INFO: Epoch: [180] [260/523] learning_rate: 0.137207 loss_vfl: 0.810885 loss_bbox: 0.270468 loss_dfl: 0.179290 loss: 1.281501 eta: 1 day, 16:33:29 batch_cost: 2.3717 data_cost: 0.0019 ips: 23.6113 images/s [10/16 16:21:07] ppdet.engine INFO: Epoch: [180] [280/523] learning_rate: 0.137131 loss_vfl: 0.829847 loss_bbox: 0.274343 loss_dfl: 0.185773 loss: 1.298136 eta: 1 day, 16:32:43 batch_cost: 2.3722 data_cost: 0.0013 ips: 23.6070 images/s [10/16 16:21:56] ppdet.engine INFO: Epoch: [180] [300/523] learning_rate: 0.137055 loss_vfl: 0.816057 loss_bbox: 0.309713 loss_dfl: 0.194395 loss: 1.319706 eta: 1 day, 16:31:57 batch_cost: 2.3859 data_cost: 0.0012 ips: 23.4714 images/s [10/16 16:22:45] ppdet.engine INFO: Epoch: [180] [320/523] learning_rate: 0.136979 loss_vfl: 0.822543 loss_bbox: 0.291455 loss_dfl: 0.188937 loss: 1.309206 eta: 1 day, 16:31:10 batch_cost: 2.3167 data_cost: 0.0068 ips: 24.1718 images/s [10/16 16:23:33] ppdet.engine INFO: Epoch: [180] [340/523] learning_rate: 0.136903 loss_vfl: 0.819153 loss_bbox: 0.278124 loss_dfl: 0.183091 loss: 1.288726 eta: 1 day, 16:30:23 batch_cost: 2.3039 data_cost: 0.0012 ips: 24.3066 images/s [10/16 16:24:23] ppdet.engine INFO: Epoch: [180] [360/523] learning_rate: 0.136827 loss_vfl: 0.825736 loss_bbox: 0.272720 loss_dfl: 0.178453 loss: 1.281017 eta: 1 day, 16:29:37 batch_cost: 2.3867 data_cost: 0.0013 ips: 23.4634 images/s [10/16 16:25:12] ppdet.engine INFO: Epoch: [180] [380/523] learning_rate: 0.136751 loss_vfl: 0.826434 loss_bbox: 0.282820 loss_dfl: 0.185253 loss: 1.306679 eta: 1 day, 16:28:50 batch_cost: 2.3266 data_cost: 0.0015 ips: 24.0698 images/s [10/16 16:26:01] ppdet.engine INFO: Epoch: [180] [400/523] learning_rate: 0.136675 loss_vfl: 0.826103 loss_bbox: 0.267381 loss_dfl: 0.181640 loss: 1.298572 eta: 1 day, 16:28:03 batch_cost: 2.3336 data_cost: 0.0018 ips: 23.9972 images/s [10/16 16:26:51] ppdet.engine INFO: Epoch: [180] [420/523] learning_rate: 0.136599 loss_vfl: 0.830483 loss_bbox: 0.285753 loss_dfl: 0.193231 loss: 1.308333 eta: 1 day, 16:27:17 batch_cost: 2.3948 data_cost: 0.0036 ips: 23.3839 images/s [10/16 16:27:40] ppdet.engine INFO: Epoch: [180] [440/523] learning_rate: 0.136523 loss_vfl: 0.829810 loss_bbox: 0.295161 loss_dfl: 0.187886 loss: 1.288271 eta: 1 day, 16:26:30 batch_cost: 2.3282 data_cost: 0.0018 ips: 24.0526 images/s [10/16 16:28:28] ppdet.engine INFO: Epoch: [180] [460/523] learning_rate: 0.136447 loss_vfl: 0.839657 loss_bbox: 0.279745 loss_dfl: 0.181991 loss: 1.281912 eta: 1 day, 16:25:43 batch_cost: 2.3166 data_cost: 0.0022 ips: 24.1729 images/s [10/16 16:29:17] ppdet.engine INFO: Epoch: [180] [480/523] learning_rate: 0.136371 loss_vfl: 0.816268 loss_bbox: 0.290157 loss_dfl: 0.191590 loss: 1.300097 eta: 1 day, 16:24:57 batch_cost: 2.3455 data_cost: 0.0022 ips: 23.8755 images/s [10/16 16:30:06] ppdet.engine INFO: Epoch: [180] [500/523] learning_rate: 0.136295 loss_vfl: 0.826323 loss_bbox: 0.302618 loss_dfl: 0.196372 loss: 1.324463 eta: 1 day, 16:24:10 batch_cost: 2.3231 data_cost: 0.0021 ips: 24.1062 images/s [10/16 16:30:48] ppdet.engine INFO: Epoch: [180] [520/523] learning_rate: 0.136220 loss_vfl: 0.835247 loss_bbox: 0.263912 loss_dfl: 0.178285 loss: 1.304186 eta: 1 day, 16:23:19 batch_cost: 2.0173 data_cost: 0.0020 ips: 27.7595 images/s [10/16 16:31:21] ppdet.engine INFO: Epoch: [181] [ 0/523] learning_rate: 0.136208 loss_vfl: 0.827825 loss_bbox: 0.264824 loss_dfl: 0.177450 loss: 1.288302 eta: 1 day, 16:23:26 batch_cost: 3.1010 data_cost: 0.9186 ips: 18.0587 images/s [10/16 16:32:13] ppdet.engine INFO: Epoch: [181] [ 20/523] learning_rate: 0.136132 loss_vfl: 0.812929 loss_bbox: 0.270210 loss_dfl: 0.179556 loss: 1.271475 eta: 1 day, 16:22:41 batch_cost: 2.4873 data_cost: 0.0015 ips: 22.5143 images/s [10/16 16:33:02] ppdet.engine INFO: Epoch: [181] [ 40/523] learning_rate: 0.136056 loss_vfl: 0.820718 loss_bbox: 0.273030 loss_dfl: 0.182529 loss: 1.281817 eta: 1 day, 16:21:55 batch_cost: 2.3652 data_cost: 0.0066 ips: 23.6764 images/s [10/16 16:33:50] ppdet.engine INFO: Epoch: [181] [ 60/523] learning_rate: 0.135980 loss_vfl: 0.815265 loss_bbox: 0.278476 loss_dfl: 0.185230 loss: 1.300573 eta: 1 day, 16:21:08 batch_cost: 2.2979 data_cost: 0.0013 ips: 24.3700 images/s [10/16 16:34:40] ppdet.engine INFO: Epoch: [181] [ 80/523] learning_rate: 0.135905 loss_vfl: 0.808518 loss_bbox: 0.289099 loss_dfl: 0.187667 loss: 1.292318 eta: 1 day, 16:20:21 batch_cost: 2.3601 data_cost: 0.0048 ips: 23.7279 images/s [10/16 16:35:29] ppdet.engine INFO: Epoch: [181] [100/523] learning_rate: 0.135829 loss_vfl: 0.821470 loss_bbox: 0.267830 loss_dfl: 0.184423 loss: 1.277702 eta: 1 day, 16:19:35 batch_cost: 2.3461 data_cost: 0.0020 ips: 23.8692 images/s [10/16 16:36:18] ppdet.engine INFO: Epoch: [181] [120/523] learning_rate: 0.135753 loss_vfl: 0.828658 loss_bbox: 0.259305 loss_dfl: 0.181392 loss: 1.274311 eta: 1 day, 16:18:48 batch_cost: 2.3653 data_cost: 0.0013 ips: 23.6757 images/s [10/16 16:37:10] ppdet.engine INFO: Epoch: [181] [140/523] learning_rate: 0.135677 loss_vfl: 0.789410 loss_bbox: 0.258773 loss_dfl: 0.182874 loss: 1.261575 eta: 1 day, 16:18:03 batch_cost: 2.4346 data_cost: 0.0014 ips: 23.0019 images/s [10/16 16:37:59] ppdet.engine INFO: Epoch: [181] [160/523] learning_rate: 0.135601 loss_vfl: 0.801901 loss_bbox: 0.283771 loss_dfl: 0.190288 loss: 1.281410 eta: 1 day, 16:17:17 batch_cost: 2.3721 data_cost: 0.0013 ips: 23.6076 images/s [10/16 16:38:50] ppdet.engine INFO: Epoch: [181] [180/523] learning_rate: 0.135525 loss_vfl: 0.841678 loss_bbox: 0.269425 loss_dfl: 0.181796 loss: 1.322960 eta: 1 day, 16:16:31 batch_cost: 2.4418 data_cost: 0.0038 ips: 22.9336 images/s [10/16 16:39:41] ppdet.engine INFO: Epoch: [181] [200/523] learning_rate: 0.135450 loss_vfl: 0.815261 loss_bbox: 0.271511 loss_dfl: 0.188702 loss: 1.275801 eta: 1 day, 16:15:46 batch_cost: 2.4082 data_cost: 0.0019 ips: 23.2534 images/s [10/16 16:40:29] ppdet.engine INFO: Epoch: [181] [220/523] learning_rate: 0.135374 loss_vfl: 0.819270 loss_bbox: 0.274863 loss_dfl: 0.183227 loss: 1.285910 eta: 1 day, 16:14:58 batch_cost: 2.2970 data_cost: 0.0025 ips: 24.3796 images/s [10/16 16:41:18] ppdet.engine INFO: Epoch: [181] [240/523] learning_rate: 0.135298 loss_vfl: 0.802856 loss_bbox: 0.290139 loss_dfl: 0.191249 loss: 1.284384 eta: 1 day, 16:14:12 batch_cost: 2.3676 data_cost: 0.0012 ips: 23.6525 images/s [10/16 16:42:07] ppdet.engine INFO: Epoch: [181] [260/523] learning_rate: 0.135222 loss_vfl: 0.836845 loss_bbox: 0.271432 loss_dfl: 0.182919 loss: 1.309397 eta: 1 day, 16:13:25 batch_cost: 2.3499 data_cost: 0.0035 ips: 23.8307 images/s [10/16 16:42:57] ppdet.engine INFO: Epoch: [181] [280/523] learning_rate: 0.135146 loss_vfl: 0.801932 loss_bbox: 0.275055 loss_dfl: 0.182235 loss: 1.275306 eta: 1 day, 16:12:39 batch_cost: 2.3674 data_cost: 0.0013 ips: 23.6543 images/s [10/16 16:43:47] ppdet.engine INFO: Epoch: [181] [300/523] learning_rate: 0.135071 loss_vfl: 0.817369 loss_bbox: 0.286731 loss_dfl: 0.189020 loss: 1.287433 eta: 1 day, 16:11:53 batch_cost: 2.3872 data_cost: 0.0019 ips: 23.4588 images/s [10/16 16:44:36] ppdet.engine INFO: Epoch: [181] [320/523] learning_rate: 0.134995 loss_vfl: 0.848212 loss_bbox: 0.274002 loss_dfl: 0.180098 loss: 1.293700 eta: 1 day, 16:11:06 batch_cost: 2.3276 data_cost: 0.0035 ips: 24.0594 images/s [10/16 16:45:24] ppdet.engine INFO: Epoch: [181] [340/523] learning_rate: 0.134919 loss_vfl: 0.815651 loss_bbox: 0.267352 loss_dfl: 0.175465 loss: 1.259982 eta: 1 day, 16:10:19 batch_cost: 2.3063 data_cost: 0.0019 ips: 24.2808 images/s [10/16 16:46:12] ppdet.engine INFO: Epoch: [181] [360/523] learning_rate: 0.134843 loss_vfl: 0.817591 loss_bbox: 0.291996 loss_dfl: 0.193001 loss: 1.306777 eta: 1 day, 16:09:32 batch_cost: 2.2953 data_cost: 0.0034 ips: 24.3981 images/s [10/16 16:47:02] ppdet.engine INFO: Epoch: [181] [380/523] learning_rate: 0.134768 loss_vfl: 0.832184 loss_bbox: 0.292622 loss_dfl: 0.192464 loss: 1.320435 eta: 1 day, 16:08:46 batch_cost: 2.4064 data_cost: 0.0044 ips: 23.2715 images/s [10/16 16:47:51] ppdet.engine INFO: Epoch: [181] [400/523] learning_rate: 0.134692 loss_vfl: 0.833947 loss_bbox: 0.262669 loss_dfl: 0.179482 loss: 1.259403 eta: 1 day, 16:07:59 batch_cost: 2.3442 data_cost: 0.0037 ips: 23.8891 images/s [10/16 16:48:40] ppdet.engine INFO: Epoch: [181] [420/523] learning_rate: 0.134616 loss_vfl: 0.824397 loss_bbox: 0.292232 loss_dfl: 0.193689 loss: 1.322614 eta: 1 day, 16:07:12 batch_cost: 2.3200 data_cost: 0.0012 ips: 24.1375 images/s [10/16 16:49:29] ppdet.engine INFO: Epoch: [181] [440/523] learning_rate: 0.134541 loss_vfl: 0.811363 loss_bbox: 0.305854 loss_dfl: 0.196959 loss: 1.310531 eta: 1 day, 16:06:26 batch_cost: 2.3312 data_cost: 0.0031 ips: 24.0216 images/s [10/16 16:50:17] ppdet.engine INFO: Epoch: [181] [460/523] learning_rate: 0.134465 loss_vfl: 0.810710 loss_bbox: 0.272792 loss_dfl: 0.180180 loss: 1.290546 eta: 1 day, 16:05:39 batch_cost: 2.3129 data_cost: 0.0012 ips: 24.2122 images/s [10/16 16:51:07] ppdet.engine INFO: Epoch: [181] [480/523] learning_rate: 0.134389 loss_vfl: 0.814446 loss_bbox: 0.286189 loss_dfl: 0.190464 loss: 1.297277 eta: 1 day, 16:04:52 batch_cost: 2.3703 data_cost: 0.0018 ips: 23.6259 images/s [10/16 16:51:57] ppdet.engine INFO: Epoch: [181] [500/523] learning_rate: 0.134314 loss_vfl: 0.819401 loss_bbox: 0.285064 loss_dfl: 0.191554 loss: 1.289191 eta: 1 day, 16:04:07 batch_cost: 2.4262 data_cost: 0.0021 ips: 23.0810 images/s [10/16 16:52:40] ppdet.engine INFO: Epoch: [181] [520/523] learning_rate: 0.134238 loss_vfl: 0.809916 loss_bbox: 0.306038 loss_dfl: 0.194226 loss: 1.333916 eta: 1 day, 16:03:16 batch_cost: 2.0427 data_cost: 0.0012 ips: 27.4148 images/s [10/16 16:53:09] ppdet.engine INFO: Epoch: [182] [ 0/523] learning_rate: 0.134227 loss_vfl: 0.812408 loss_bbox: 0.300360 loss_dfl: 0.190893 loss: 1.326555 eta: 1 day, 16:03:21 batch_cost: 2.9658 data_cost: 0.5244 ips: 18.8821 images/s [10/16 16:54:04] ppdet.engine INFO: Epoch: [182] [ 20/523] learning_rate: 0.134151 loss_vfl: 0.807204 loss_bbox: 0.271573 loss_dfl: 0.182334 loss: 1.265189 eta: 1 day, 16:02:38 batch_cost: 2.6451 data_cost: 0.0015 ips: 21.1716 images/s [10/16 16:54:54] ppdet.engine INFO: Epoch: [182] [ 40/523] learning_rate: 0.134075 loss_vfl: 0.797506 loss_bbox: 0.291837 loss_dfl: 0.192150 loss: 1.289026 eta: 1 day, 16:01:52 batch_cost: 2.3706 data_cost: 0.0023 ips: 23.6225 images/s [10/16 16:55:43] ppdet.engine INFO: Epoch: [182] [ 60/523] learning_rate: 0.134000 loss_vfl: 0.834137 loss_bbox: 0.279430 loss_dfl: 0.191637 loss: 1.303044 eta: 1 day, 16:01:05 batch_cost: 2.3328 data_cost: 0.0027 ips: 24.0058 images/s [10/16 16:56:34] ppdet.engine INFO: Epoch: [182] [ 80/523] learning_rate: 0.133924 loss_vfl: 0.819731 loss_bbox: 0.271136 loss_dfl: 0.186461 loss: 1.289015 eta: 1 day, 16:00:20 batch_cost: 2.4533 data_cost: 0.0020 ips: 22.8266 images/s [10/16 16:57:24] ppdet.engine INFO: Epoch: [182] [100/523] learning_rate: 0.133849 loss_vfl: 0.843973 loss_bbox: 0.271849 loss_dfl: 0.187655 loss: 1.290573 eta: 1 day, 15:59:34 batch_cost: 2.3855 data_cost: 0.0013 ips: 23.4755 images/s [10/16 16:58:15] ppdet.engine INFO: Epoch: [182] [120/523] learning_rate: 0.133773 loss_vfl: 0.813913 loss_bbox: 0.287926 loss_dfl: 0.189473 loss: 1.268133 eta: 1 day, 15:58:49 batch_cost: 2.4736 data_cost: 0.0025 ips: 22.6389 images/s [10/16 16:59:04] ppdet.engine INFO: Epoch: [182] [140/523] learning_rate: 0.133697 loss_vfl: 0.825652 loss_bbox: 0.293478 loss_dfl: 0.188728 loss: 1.299005 eta: 1 day, 15:58:02 batch_cost: 2.2991 data_cost: 0.0023 ips: 24.3577 images/s [10/16 16:59:54] ppdet.engine INFO: Epoch: [182] [160/523] learning_rate: 0.133622 loss_vfl: 0.840895 loss_bbox: 0.287381 loss_dfl: 0.186298 loss: 1.310483 eta: 1 day, 15:57:16 batch_cost: 2.4341 data_cost: 0.0023 ips: 23.0064 images/s [10/16 17:00:43] ppdet.engine INFO: Epoch: [182] [180/523] learning_rate: 0.133546 loss_vfl: 0.824676 loss_bbox: 0.277852 loss_dfl: 0.185003 loss: 1.291069 eta: 1 day, 15:56:29 batch_cost: 2.3178 data_cost: 0.0018 ips: 24.1604 images/s [10/16 17:01:34] ppdet.engine INFO: Epoch: [182] [200/523] learning_rate: 0.133471 loss_vfl: 0.827436 loss_bbox: 0.277957 loss_dfl: 0.185916 loss: 1.283938 eta: 1 day, 15:55:44 batch_cost: 2.4383 data_cost: 0.0022 ips: 22.9673 images/s [10/16 17:02:25] ppdet.engine INFO: Epoch: [182] [220/523] learning_rate: 0.133395 loss_vfl: 0.826122 loss_bbox: 0.266116 loss_dfl: 0.180735 loss: 1.270760 eta: 1 day, 15:54:58 batch_cost: 2.4328 data_cost: 0.0021 ips: 23.0187 images/s [10/16 17:03:15] ppdet.engine INFO: Epoch: [182] [240/523] learning_rate: 0.133320 loss_vfl: 0.822833 loss_bbox: 0.285458 loss_dfl: 0.187972 loss: 1.290056 eta: 1 day, 15:54:12 batch_cost: 2.3714 data_cost: 0.0033 ips: 23.6151 images/s [10/16 17:04:04] ppdet.engine INFO: Epoch: [182] [260/523] learning_rate: 0.133244 loss_vfl: 0.813732 loss_bbox: 0.280296 loss_dfl: 0.185549 loss: 1.279462 eta: 1 day, 15:53:25 batch_cost: 2.3473 data_cost: 0.0020 ips: 23.8570 images/s [10/16 17:04:53] ppdet.engine INFO: Epoch: [182] [280/523] learning_rate: 0.133169 loss_vfl: 0.820054 loss_bbox: 0.267844 loss_dfl: 0.186278 loss: 1.293663 eta: 1 day, 15:52:39 batch_cost: 2.3497 data_cost: 0.0039 ips: 23.8332 images/s [10/16 17:05:42] ppdet.engine INFO: Epoch: [182] [300/523] learning_rate: 0.133093 loss_vfl: 0.833728 loss_bbox: 0.299472 loss_dfl: 0.195497 loss: 1.324666 eta: 1 day, 15:51:52 batch_cost: 2.3411 data_cost: 0.0020 ips: 23.9201 images/s [10/16 17:06:33] ppdet.engine INFO: Epoch: [182] [320/523] learning_rate: 0.133018 loss_vfl: 0.806328 loss_bbox: 0.284281 loss_dfl: 0.187863 loss: 1.289838 eta: 1 day, 15:51:06 batch_cost: 2.4053 data_cost: 0.0012 ips: 23.2818 images/s [10/16 17:07:23] ppdet.engine INFO: Epoch: [182] [340/523] learning_rate: 0.132942 loss_vfl: 0.826393 loss_bbox: 0.274950 loss_dfl: 0.179676 loss: 1.283493 eta: 1 day, 15:50:20 batch_cost: 2.4052 data_cost: 0.0012 ips: 23.2833 images/s [10/16 17:08:13] ppdet.engine INFO: Epoch: [182] [360/523] learning_rate: 0.132867 loss_vfl: 0.822232 loss_bbox: 0.274016 loss_dfl: 0.184559 loss: 1.286592 eta: 1 day, 15:49:34 batch_cost: 2.4003 data_cost: 0.0019 ips: 23.3305 images/s [10/16 17:09:04] ppdet.engine INFO: Epoch: [182] [380/523] learning_rate: 0.132791 loss_vfl: 0.822541 loss_bbox: 0.266870 loss_dfl: 0.175794 loss: 1.272407 eta: 1 day, 15:48:49 batch_cost: 2.4054 data_cost: 0.0027 ips: 23.2806 images/s [10/16 17:09:53] ppdet.engine INFO: Epoch: [182] [400/523] learning_rate: 0.132716 loss_vfl: 0.814497 loss_bbox: 0.294319 loss_dfl: 0.188809 loss: 1.299472 eta: 1 day, 15:48:02 batch_cost: 2.3517 data_cost: 0.0013 ips: 23.8124 images/s [10/16 17:10:44] ppdet.engine INFO: Epoch: [182] [420/523] learning_rate: 0.132641 loss_vfl: 0.811200 loss_bbox: 0.286295 loss_dfl: 0.190691 loss: 1.292179 eta: 1 day, 15:47:16 batch_cost: 2.4162 data_cost: 0.0027 ips: 23.1773 images/s [10/16 17:11:33] ppdet.engine INFO: Epoch: [182] [440/523] learning_rate: 0.132565 loss_vfl: 0.831660 loss_bbox: 0.286355 loss_dfl: 0.191971 loss: 1.298988 eta: 1 day, 15:46:30 batch_cost: 2.3586 data_cost: 0.0019 ips: 23.7428 images/s [10/16 17:12:23] ppdet.engine INFO: Epoch: [182] [460/523] learning_rate: 0.132490 loss_vfl: 0.820591 loss_bbox: 0.279443 loss_dfl: 0.183320 loss: 1.298060 eta: 1 day, 15:45:44 batch_cost: 2.3764 data_cost: 0.0018 ips: 23.5648 images/s [10/16 17:13:11] ppdet.engine INFO: Epoch: [182] [480/523] learning_rate: 0.132414 loss_vfl: 0.819428 loss_bbox: 0.296340 loss_dfl: 0.192502 loss: 1.308682 eta: 1 day, 15:44:57 batch_cost: 2.3132 data_cost: 0.0013 ips: 24.2085 images/s [10/16 17:14:03] ppdet.engine INFO: Epoch: [182] [500/523] learning_rate: 0.132339 loss_vfl: 0.828470 loss_bbox: 0.292866 loss_dfl: 0.192984 loss: 1.295543 eta: 1 day, 15:44:12 batch_cost: 2.4677 data_cost: 0.0025 ips: 22.6935 images/s [10/16 17:14:48] ppdet.engine INFO: Epoch: [182] [520/523] learning_rate: 0.132264 loss_vfl: 0.816805 loss_bbox: 0.272415 loss_dfl: 0.188268 loss: 1.290533 eta: 1 day, 15:43:22 batch_cost: 2.1456 data_cost: 0.0014 ips: 26.1003 images/s [10/16 17:15:17] ppdet.engine INFO: Epoch: [183] [ 0/523] learning_rate: 0.132252 loss_vfl: 0.817199 loss_bbox: 0.263948 loss_dfl: 0.186480 loss: 1.282536 eta: 1 day, 15:43:27 batch_cost: 3.0393 data_cost: 0.3219 ips: 18.4254 images/s [10/16 17:16:09] ppdet.engine INFO: Epoch: [183] [ 20/523] learning_rate: 0.132177 loss_vfl: 0.818632 loss_bbox: 0.269274 loss_dfl: 0.187926 loss: 1.285501 eta: 1 day, 15:42:42 batch_cost: 2.4719 data_cost: 0.0023 ips: 22.6548 images/s [10/16 17:17:00] ppdet.engine INFO: Epoch: [183] [ 40/523] learning_rate: 0.132102 loss_vfl: 0.819927 loss_bbox: 0.294945 loss_dfl: 0.192220 loss: 1.304614 eta: 1 day, 15:41:57 batch_cost: 2.4481 data_cost: 0.0020 ips: 22.8749 images/s [10/16 17:17:49] ppdet.engine INFO: Epoch: [183] [ 60/523] learning_rate: 0.132026 loss_vfl: 0.811969 loss_bbox: 0.286266 loss_dfl: 0.182457 loss: 1.281328 eta: 1 day, 15:41:11 batch_cost: 2.3904 data_cost: 0.0012 ips: 23.4267 images/s [10/16 17:18:38] ppdet.engine INFO: Epoch: [183] [ 80/523] learning_rate: 0.131951 loss_vfl: 0.806933 loss_bbox: 0.272270 loss_dfl: 0.183378 loss: 1.273530 eta: 1 day, 15:40:23 batch_cost: 2.2944 data_cost: 0.0033 ips: 24.4069 images/s [10/16 17:19:27] ppdet.engine INFO: Epoch: [183] [100/523] learning_rate: 0.131876 loss_vfl: 0.799352 loss_bbox: 0.288984 loss_dfl: 0.190534 loss: 1.290339 eta: 1 day, 15:39:37 batch_cost: 2.3301 data_cost: 0.0032 ips: 24.0337 images/s [10/16 17:20:15] ppdet.engine INFO: Epoch: [183] [120/523] learning_rate: 0.131800 loss_vfl: 0.817316 loss_bbox: 0.298563 loss_dfl: 0.197789 loss: 1.324141 eta: 1 day, 15:38:50 batch_cost: 2.3350 data_cost: 0.0012 ips: 23.9831 images/s [10/16 17:21:05] ppdet.engine INFO: Epoch: [183] [140/523] learning_rate: 0.131725 loss_vfl: 0.829482 loss_bbox: 0.282699 loss_dfl: 0.186003 loss: 1.299585 eta: 1 day, 15:38:04 batch_cost: 2.3985 data_cost: 0.0045 ips: 23.3483 images/s [10/16 17:21:54] ppdet.engine INFO: Epoch: [183] [160/523] learning_rate: 0.131650 loss_vfl: 0.835597 loss_bbox: 0.277736 loss_dfl: 0.184142 loss: 1.299308 eta: 1 day, 15:37:17 batch_cost: 2.3297 data_cost: 0.0013 ips: 24.0377 images/s [10/16 17:22:44] ppdet.engine INFO: Epoch: [183] [180/523] learning_rate: 0.131575 loss_vfl: 0.827853 loss_bbox: 0.268286 loss_dfl: 0.184228 loss: 1.281281 eta: 1 day, 15:36:31 batch_cost: 2.3949 data_cost: 0.0012 ips: 23.3826 images/s [10/16 17:23:34] ppdet.engine INFO: Epoch: [183] [200/523] learning_rate: 0.131499 loss_vfl: 0.816960 loss_bbox: 0.289731 loss_dfl: 0.190667 loss: 1.297686 eta: 1 day, 15:35:45 batch_cost: 2.3938 data_cost: 0.0012 ips: 23.3939 images/s [10/16 17:24:23] ppdet.engine INFO: Epoch: [183] [220/523] learning_rate: 0.131424 loss_vfl: 0.825553 loss_bbox: 0.274514 loss_dfl: 0.178333 loss: 1.281102 eta: 1 day, 15:34:58 batch_cost: 2.3377 data_cost: 0.0024 ips: 23.9556 images/s [10/16 17:25:13] ppdet.engine INFO: Epoch: [183] [240/523] learning_rate: 0.131349 loss_vfl: 0.805866 loss_bbox: 0.287707 loss_dfl: 0.183578 loss: 1.261836 eta: 1 day, 15:34:12 batch_cost: 2.3662 data_cost: 0.0018 ips: 23.6670 images/s [10/16 17:26:02] ppdet.engine INFO: Epoch: [183] [260/523] learning_rate: 0.131274 loss_vfl: 0.838828 loss_bbox: 0.276792 loss_dfl: 0.189560 loss: 1.289829 eta: 1 day, 15:33:25 batch_cost: 2.3587 data_cost: 0.0019 ips: 23.7420 images/s [10/16 17:26:50] ppdet.engine INFO: Epoch: [183] [280/523] learning_rate: 0.131198 loss_vfl: 0.813314 loss_bbox: 0.293590 loss_dfl: 0.191845 loss: 1.310873 eta: 1 day, 15:32:38 batch_cost: 2.2968 data_cost: 0.0019 ips: 24.3815 images/s [10/16 17:27:39] ppdet.engine INFO: Epoch: [183] [300/523] learning_rate: 0.131123 loss_vfl: 0.816002 loss_bbox: 0.259792 loss_dfl: 0.183493 loss: 1.260775 eta: 1 day, 15:31:52 batch_cost: 2.3709 data_cost: 0.0013 ips: 23.6200 images/s [10/16 17:28:29] ppdet.engine INFO: Epoch: [183] [320/523] learning_rate: 0.131048 loss_vfl: 0.838011 loss_bbox: 0.299190 loss_dfl: 0.197010 loss: 1.332560 eta: 1 day, 15:31:05 batch_cost: 2.3680 data_cost: 0.0027 ips: 23.6485 images/s [10/16 17:29:19] ppdet.engine INFO: Epoch: [183] [340/523] learning_rate: 0.130973 loss_vfl: 0.831948 loss_bbox: 0.272092 loss_dfl: 0.185803 loss: 1.294739 eta: 1 day, 15:30:19 batch_cost: 2.3876 data_cost: 0.0014 ips: 23.4543 images/s [10/16 17:30:08] ppdet.engine INFO: Epoch: [183] [360/523] learning_rate: 0.130898 loss_vfl: 0.829770 loss_bbox: 0.307596 loss_dfl: 0.198501 loss: 1.344655 eta: 1 day, 15:29:33 batch_cost: 2.3565 data_cost: 0.0023 ips: 23.7638 images/s [10/16 17:30:58] ppdet.engine INFO: Epoch: [183] [380/523] learning_rate: 0.130823 loss_vfl: 0.814390 loss_bbox: 0.300300 loss_dfl: 0.194242 loss: 1.310972 eta: 1 day, 15:28:47 batch_cost: 2.3898 data_cost: 0.0015 ips: 23.4328 images/s [10/16 17:31:48] ppdet.engine INFO: Epoch: [183] [400/523] learning_rate: 0.130747 loss_vfl: 0.814802 loss_bbox: 0.286099 loss_dfl: 0.193011 loss: 1.300684 eta: 1 day, 15:28:00 batch_cost: 2.3670 data_cost: 0.0022 ips: 23.6591 images/s [10/16 17:32:37] ppdet.engine INFO: Epoch: [183] [420/523] learning_rate: 0.130672 loss_vfl: 0.807769 loss_bbox: 0.269697 loss_dfl: 0.184415 loss: 1.274528 eta: 1 day, 15:27:14 batch_cost: 2.3431 data_cost: 0.0020 ips: 23.8995 images/s [10/16 17:33:27] ppdet.engine INFO: Epoch: [183] [440/523] learning_rate: 0.130597 loss_vfl: 0.823999 loss_bbox: 0.298157 loss_dfl: 0.196090 loss: 1.305780 eta: 1 day, 15:26:28 batch_cost: 2.4109 data_cost: 0.0013 ips: 23.2276 images/s [10/16 17:34:16] ppdet.engine INFO: Epoch: [183] [460/523] learning_rate: 0.130522 loss_vfl: 0.794052 loss_bbox: 0.297913 loss_dfl: 0.194753 loss: 1.284796 eta: 1 day, 15:25:41 batch_cost: 2.3205 data_cost: 0.0012 ips: 24.1326 images/s [10/16 17:35:05] ppdet.engine INFO: Epoch: [183] [480/523] learning_rate: 0.130447 loss_vfl: 0.807676 loss_bbox: 0.296766 loss_dfl: 0.197303 loss: 1.309293 eta: 1 day, 15:24:54 batch_cost: 2.3503 data_cost: 0.0015 ips: 23.8268 images/s [10/16 17:35:54] ppdet.engine INFO: Epoch: [183] [500/523] learning_rate: 0.130372 loss_vfl: 0.829596 loss_bbox: 0.272580 loss_dfl: 0.185468 loss: 1.297356 eta: 1 day, 15:24:07 batch_cost: 2.3252 data_cost: 0.0043 ips: 24.0841 images/s [10/16 17:36:36] ppdet.engine INFO: Epoch: [183] [520/523] learning_rate: 0.130297 loss_vfl: 0.823292 loss_bbox: 0.283491 loss_dfl: 0.184037 loss: 1.279521 eta: 1 day, 15:23:16 batch_cost: 1.9943 data_cost: 0.0012 ips: 28.0797 images/s [10/16 17:37:05] ppdet.engine INFO: Epoch: [184] [ 0/523] learning_rate: 0.130286 loss_vfl: 0.834734 loss_bbox: 0.284833 loss_dfl: 0.184037 loss: 1.284417 eta: 1 day, 15:23:21 batch_cost: 2.8679 data_cost: 0.5288 ips: 19.5266 images/s [10/16 17:37:58] ppdet.engine INFO: Epoch: [184] [ 20/523] learning_rate: 0.130211 loss_vfl: 0.809464 loss_bbox: 0.294925 loss_dfl: 0.190219 loss: 1.283436 eta: 1 day, 15:22:36 batch_cost: 2.5266 data_cost: 0.0019 ips: 22.1639 images/s [10/16 17:38:47] ppdet.engine INFO: Epoch: [184] [ 40/523] learning_rate: 0.130135 loss_vfl: 0.815125 loss_bbox: 0.274062 loss_dfl: 0.180606 loss: 1.260961 eta: 1 day, 15:21:49 batch_cost: 2.3362 data_cost: 0.0012 ips: 23.9708 images/s [10/16 17:39:36] ppdet.engine INFO: Epoch: [184] [ 60/523] learning_rate: 0.130060 loss_vfl: 0.827730 loss_bbox: 0.284447 loss_dfl: 0.181213 loss: 1.297157 eta: 1 day, 15:21:03 batch_cost: 2.3750 data_cost: 0.0033 ips: 23.5794 images/s [10/16 17:40:27] ppdet.engine INFO: Epoch: [184] [ 80/523] learning_rate: 0.129985 loss_vfl: 0.815971 loss_bbox: 0.296138 loss_dfl: 0.195274 loss: 1.316895 eta: 1 day, 15:20:17 batch_cost: 2.4060 data_cost: 0.0037 ips: 23.2749 images/s [10/16 17:41:17] ppdet.engine INFO: Epoch: [184] [100/523] learning_rate: 0.129910 loss_vfl: 0.820755 loss_bbox: 0.290028 loss_dfl: 0.180626 loss: 1.282906 eta: 1 day, 15:19:31 batch_cost: 2.4046 data_cost: 0.0047 ips: 23.2890 images/s [10/16 17:42:07] ppdet.engine INFO: Epoch: [184] [120/523] learning_rate: 0.129835 loss_vfl: 0.827127 loss_bbox: 0.287933 loss_dfl: 0.184053 loss: 1.287893 eta: 1 day, 15:18:45 batch_cost: 2.4040 data_cost: 0.0028 ips: 23.2945 images/s [10/16 17:42:58] ppdet.engine INFO: Epoch: [184] [140/523] learning_rate: 0.129760 loss_vfl: 0.808895 loss_bbox: 0.286789 loss_dfl: 0.192485 loss: 1.286001 eta: 1 day, 15:18:00 batch_cost: 2.4077 data_cost: 0.0013 ips: 23.2588 images/s [10/16 17:43:48] ppdet.engine INFO: Epoch: [184] [160/523] learning_rate: 0.129685 loss_vfl: 0.836160 loss_bbox: 0.276193 loss_dfl: 0.183300 loss: 1.281130 eta: 1 day, 15:17:14 batch_cost: 2.4253 data_cost: 0.0021 ips: 23.0897 images/s [10/16 17:44:36] ppdet.engine INFO: Epoch: [184] [180/523] learning_rate: 0.129610 loss_vfl: 0.821503 loss_bbox: 0.309965 loss_dfl: 0.196643 loss: 1.315329 eta: 1 day, 15:16:27 batch_cost: 2.2911 data_cost: 0.0032 ips: 24.4420 images/s [10/16 17:45:24] ppdet.engine INFO: Epoch: [184] [200/523] learning_rate: 0.129535 loss_vfl: 0.804990 loss_bbox: 0.289605 loss_dfl: 0.194656 loss: 1.291394 eta: 1 day, 15:15:39 batch_cost: 2.2886 data_cost: 0.0013 ips: 24.4690 images/s [10/16 17:46:12] ppdet.engine INFO: Epoch: [184] [220/523] learning_rate: 0.129461 loss_vfl: 0.832652 loss_bbox: 0.278520 loss_dfl: 0.182109 loss: 1.272215 eta: 1 day, 15:14:52 batch_cost: 2.2922 data_cost: 0.0025 ips: 24.4307 images/s [10/16 17:47:01] ppdet.engine INFO: Epoch: [184] [240/523] learning_rate: 0.129386 loss_vfl: 0.823277 loss_bbox: 0.275120 loss_dfl: 0.187213 loss: 1.270588 eta: 1 day, 15:14:05 batch_cost: 2.3020 data_cost: 0.0025 ips: 24.3271 images/s [10/16 17:47:50] ppdet.engine INFO: Epoch: [184] [260/523] learning_rate: 0.129311 loss_vfl: 0.820301 loss_bbox: 0.283593 loss_dfl: 0.186889 loss: 1.285137 eta: 1 day, 15:13:18 batch_cost: 2.3464 data_cost: 0.0021 ips: 23.8660 images/s [10/16 17:48:38] ppdet.engine INFO: Epoch: [184] [280/523] learning_rate: 0.129236 loss_vfl: 0.821817 loss_bbox: 0.278752 loss_dfl: 0.179355 loss: 1.291301 eta: 1 day, 15:12:31 batch_cost: 2.3124 data_cost: 0.0017 ips: 24.2175 images/s [10/16 17:49:28] ppdet.engine INFO: Epoch: [184] [300/523] learning_rate: 0.129161 loss_vfl: 0.819654 loss_bbox: 0.285222 loss_dfl: 0.183231 loss: 1.282864 eta: 1 day, 15:11:45 batch_cost: 2.3738 data_cost: 0.0027 ips: 23.5909 images/s [10/16 17:50:21] ppdet.engine INFO: Epoch: [184] [320/523] learning_rate: 0.129086 loss_vfl: 0.820147 loss_bbox: 0.285174 loss_dfl: 0.190032 loss: 1.305716 eta: 1 day, 15:11:00 batch_cost: 2.5359 data_cost: 0.0015 ips: 22.0825 images/s [10/16 17:51:11] ppdet.engine INFO: Epoch: [184] [340/523] learning_rate: 0.129011 loss_vfl: 0.822948 loss_bbox: 0.286919 loss_dfl: 0.184751 loss: 1.282389 eta: 1 day, 15:10:14 batch_cost: 2.3659 data_cost: 0.0013 ips: 23.6696 images/s [10/16 17:52:01] ppdet.engine INFO: Epoch: [184] [360/523] learning_rate: 0.128936 loss_vfl: 0.815440 loss_bbox: 0.277180 loss_dfl: 0.180098 loss: 1.282521 eta: 1 day, 15:09:28 batch_cost: 2.4048 data_cost: 0.0021 ips: 23.2871 images/s [10/16 17:52:51] ppdet.engine INFO: Epoch: [184] [380/523] learning_rate: 0.128861 loss_vfl: 0.816313 loss_bbox: 0.273640 loss_dfl: 0.181080 loss: 1.275773 eta: 1 day, 15:08:42 batch_cost: 2.3857 data_cost: 0.0015 ips: 23.4728 images/s [10/16 17:53:41] ppdet.engine INFO: Epoch: [184] [400/523] learning_rate: 0.128786 loss_vfl: 0.818831 loss_bbox: 0.275072 loss_dfl: 0.189975 loss: 1.310971 eta: 1 day, 15:07:56 batch_cost: 2.3940 data_cost: 0.0026 ips: 23.3915 images/s [10/16 17:54:30] ppdet.engine INFO: Epoch: [184] [420/523] learning_rate: 0.128712 loss_vfl: 0.820255 loss_bbox: 0.297284 loss_dfl: 0.188136 loss: 1.302405 eta: 1 day, 15:07:09 batch_cost: 2.3521 data_cost: 0.0028 ips: 23.8083 images/s [10/16 17:55:20] ppdet.engine INFO: Epoch: [184] [440/523] learning_rate: 0.128637 loss_vfl: 0.810585 loss_bbox: 0.284152 loss_dfl: 0.186703 loss: 1.293703 eta: 1 day, 15:06:23 batch_cost: 2.3785 data_cost: 0.0022 ips: 23.5447 images/s [10/16 17:56:10] ppdet.engine INFO: Epoch: [184] [460/523] learning_rate: 0.128562 loss_vfl: 0.816890 loss_bbox: 0.284165 loss_dfl: 0.185309 loss: 1.279860 eta: 1 day, 15:05:37 batch_cost: 2.3955 data_cost: 0.0024 ips: 23.3768 images/s [10/16 17:57:00] ppdet.engine INFO: Epoch: [184] [480/523] learning_rate: 0.128487 loss_vfl: 0.838922 loss_bbox: 0.271981 loss_dfl: 0.190168 loss: 1.319732 eta: 1 day, 15:04:51 batch_cost: 2.3987 data_cost: 0.0016 ips: 23.3461 images/s [10/16 17:57:50] ppdet.engine INFO: Epoch: [184] [500/523] learning_rate: 0.128412 loss_vfl: 0.848809 loss_bbox: 0.288436 loss_dfl: 0.184456 loss: 1.309904 eta: 1 day, 15:04:05 batch_cost: 2.3697 data_cost: 0.0019 ips: 23.6312 images/s [10/16 17:58:34] ppdet.engine INFO: Epoch: [184] [520/523] learning_rate: 0.128338 loss_vfl: 0.813590 loss_bbox: 0.283206 loss_dfl: 0.188672 loss: 1.289826 eta: 1 day, 15:03:15 batch_cost: 2.1251 data_cost: 0.0020 ips: 26.3513 images/s [10/16 17:59:02] ppdet.engine INFO: Epoch: [185] [ 0/523] learning_rate: 0.128326 loss_vfl: 0.815099 loss_bbox: 0.285828 loss_dfl: 0.188672 loss: 1.289826 eta: 1 day, 15:03:19 batch_cost: 2.9668 data_cost: 0.4421 ips: 18.8753 images/s [10/16 17:59:56] ppdet.engine INFO: Epoch: [185] [ 20/523] learning_rate: 0.128252 loss_vfl: 0.796800 loss_bbox: 0.282930 loss_dfl: 0.190561 loss: 1.270559 eta: 1 day, 15:02:35 batch_cost: 2.5787 data_cost: 0.0023 ips: 21.7165 images/s [10/16 18:00:47] ppdet.engine INFO: Epoch: [185] [ 40/523] learning_rate: 0.128177 loss_vfl: 0.822824 loss_bbox: 0.275299 loss_dfl: 0.181414 loss: 1.248881 eta: 1 day, 15:01:50 batch_cost: 2.4653 data_cost: 0.0020 ips: 22.7151 images/s [10/16 18:01:37] ppdet.engine INFO: Epoch: [185] [ 60/523] learning_rate: 0.128102 loss_vfl: 0.802201 loss_bbox: 0.283680 loss_dfl: 0.184169 loss: 1.292393 eta: 1 day, 15:01:04 batch_cost: 2.4031 data_cost: 0.0019 ips: 23.3032 images/s [10/16 18:02:28] ppdet.engine INFO: Epoch: [185] [ 80/523] learning_rate: 0.128027 loss_vfl: 0.809834 loss_bbox: 0.277617 loss_dfl: 0.182269 loss: 1.280591 eta: 1 day, 15:00:18 batch_cost: 2.4007 data_cost: 0.0014 ips: 23.3265 images/s [10/16 18:03:17] ppdet.engine INFO: Epoch: [185] [100/523] learning_rate: 0.127953 loss_vfl: 0.822570 loss_bbox: 0.280661 loss_dfl: 0.183432 loss: 1.287796 eta: 1 day, 14:59:31 batch_cost: 2.3372 data_cost: 0.0013 ips: 23.9598 images/s [10/16 18:04:06] ppdet.engine INFO: Epoch: [185] [120/523] learning_rate: 0.127878 loss_vfl: 0.791430 loss_bbox: 0.267198 loss_dfl: 0.180436 loss: 1.241354 eta: 1 day, 14:58:45 batch_cost: 2.3551 data_cost: 0.0013 ips: 23.7777 images/s [10/16 18:04:57] ppdet.engine INFO: Epoch: [185] [140/523] learning_rate: 0.127803 loss_vfl: 0.820658 loss_bbox: 0.298047 loss_dfl: 0.191622 loss: 1.328913 eta: 1 day, 14:57:59 batch_cost: 2.4426 data_cost: 0.0013 ips: 22.9260 images/s [10/16 18:05:46] ppdet.engine INFO: Epoch: [185] [160/523] learning_rate: 0.127729 loss_vfl: 0.826282 loss_bbox: 0.276921 loss_dfl: 0.183985 loss: 1.274883 eta: 1 day, 14:57:13 batch_cost: 2.3698 data_cost: 0.0032 ips: 23.6303 images/s [10/16 18:06:36] ppdet.engine INFO: Epoch: [185] [180/523] learning_rate: 0.127654 loss_vfl: 0.824067 loss_bbox: 0.269763 loss_dfl: 0.181781 loss: 1.271818 eta: 1 day, 14:56:27 batch_cost: 2.3934 data_cost: 0.0014 ips: 23.3973 images/s [10/16 18:07:25] ppdet.engine INFO: Epoch: [185] [200/523] learning_rate: 0.127579 loss_vfl: 0.799720 loss_bbox: 0.286173 loss_dfl: 0.193371 loss: 1.330662 eta: 1 day, 14:55:40 batch_cost: 2.3323 data_cost: 0.0040 ips: 24.0104 images/s [10/16 18:08:16] ppdet.engine INFO: Epoch: [185] [220/523] learning_rate: 0.127505 loss_vfl: 0.816030 loss_bbox: 0.283408 loss_dfl: 0.182491 loss: 1.283692 eta: 1 day, 14:54:54 batch_cost: 2.4119 data_cost: 0.0035 ips: 23.2181 images/s [10/16 18:09:06] ppdet.engine INFO: Epoch: [185] [240/523] learning_rate: 0.127430 loss_vfl: 0.806259 loss_bbox: 0.268426 loss_dfl: 0.174386 loss: 1.248076 eta: 1 day, 14:54:08 batch_cost: 2.4115 data_cost: 0.0019 ips: 23.2217 images/s [10/16 18:09:56] ppdet.engine INFO: Epoch: [185] [260/523] learning_rate: 0.127355 loss_vfl: 0.824187 loss_bbox: 0.278768 loss_dfl: 0.180908 loss: 1.278448 eta: 1 day, 14:53:22 batch_cost: 2.3781 data_cost: 0.0019 ips: 23.5481 images/s [10/16 18:10:45] ppdet.engine INFO: Epoch: [185] [280/523] learning_rate: 0.127281 loss_vfl: 0.807734 loss_bbox: 0.291365 loss_dfl: 0.188195 loss: 1.301716 eta: 1 day, 14:52:36 batch_cost: 2.3759 data_cost: 0.0019 ips: 23.5703 images/s [10/16 18:11:34] ppdet.engine INFO: Epoch: [185] [300/523] learning_rate: 0.127206 loss_vfl: 0.814480 loss_bbox: 0.291003 loss_dfl: 0.193669 loss: 1.291633 eta: 1 day, 14:51:49 batch_cost: 2.3211 data_cost: 0.0013 ips: 24.1265 images/s [10/16 18:12:23] ppdet.engine INFO: Epoch: [185] [320/523] learning_rate: 0.127132 loss_vfl: 0.794751 loss_bbox: 0.277288 loss_dfl: 0.181692 loss: 1.289677 eta: 1 day, 14:51:02 batch_cost: 2.3374 data_cost: 0.0014 ips: 23.9587 images/s [10/16 18:13:13] ppdet.engine INFO: Epoch: [185] [340/523] learning_rate: 0.127057 loss_vfl: 0.821031 loss_bbox: 0.283300 loss_dfl: 0.186938 loss: 1.283751 eta: 1 day, 14:50:16 batch_cost: 2.3760 data_cost: 0.0024 ips: 23.5689 images/s [10/16 18:14:02] ppdet.engine INFO: Epoch: [185] [360/523] learning_rate: 0.126982 loss_vfl: 0.810779 loss_bbox: 0.271104 loss_dfl: 0.180473 loss: 1.280781 eta: 1 day, 14:49:30 batch_cost: 2.3797 data_cost: 0.0012 ips: 23.5326 images/s [10/16 18:14:52] ppdet.engine INFO: Epoch: [185] [380/523] learning_rate: 0.126908 loss_vfl: 0.802327 loss_bbox: 0.293976 loss_dfl: 0.185315 loss: 1.277377 eta: 1 day, 14:48:44 batch_cost: 2.3982 data_cost: 0.0016 ips: 23.3512 images/s [10/16 18:15:41] ppdet.engine INFO: Epoch: [185] [400/523] learning_rate: 0.126833 loss_vfl: 0.824572 loss_bbox: 0.274488 loss_dfl: 0.189974 loss: 1.301007 eta: 1 day, 14:47:57 batch_cost: 2.3516 data_cost: 0.0020 ips: 23.8132 images/s [10/16 18:16:32] ppdet.engine INFO: Epoch: [185] [420/523] learning_rate: 0.126759 loss_vfl: 0.833453 loss_bbox: 0.271716 loss_dfl: 0.179125 loss: 1.303523 eta: 1 day, 14:47:11 batch_cost: 2.4054 data_cost: 0.0013 ips: 23.2811 images/s [10/16 18:17:21] ppdet.engine INFO: Epoch: [185] [440/523] learning_rate: 0.126684 loss_vfl: 0.807472 loss_bbox: 0.278694 loss_dfl: 0.182500 loss: 1.275251 eta: 1 day, 14:46:25 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6677 images/s [10/16 18:18:11] ppdet.engine INFO: Epoch: [185] [460/523] learning_rate: 0.126610 loss_vfl: 0.827332 loss_bbox: 0.286268 loss_dfl: 0.185033 loss: 1.300859 eta: 1 day, 14:45:38 batch_cost: 2.3741 data_cost: 0.0013 ips: 23.5884 images/s [10/16 18:19:00] ppdet.engine INFO: Epoch: [185] [480/523] learning_rate: 0.126535 loss_vfl: 0.824691 loss_bbox: 0.277690 loss_dfl: 0.181633 loss: 1.280483 eta: 1 day, 14:44:52 batch_cost: 2.3639 data_cost: 0.0019 ips: 23.6893 images/s [10/16 18:19:50] ppdet.engine INFO: Epoch: [185] [500/523] learning_rate: 0.126461 loss_vfl: 0.820277 loss_bbox: 0.297771 loss_dfl: 0.191910 loss: 1.303829 eta: 1 day, 14:44:06 batch_cost: 2.3789 data_cost: 0.0013 ips: 23.5406 images/s [10/16 18:20:34] ppdet.engine INFO: Epoch: [185] [520/523] learning_rate: 0.126386 loss_vfl: 0.807642 loss_bbox: 0.288722 loss_dfl: 0.189642 loss: 1.265947 eta: 1 day, 14:43:16 batch_cost: 2.0793 data_cost: 0.0013 ips: 26.9327 images/s [10/16 18:21:07] ppdet.engine INFO: Epoch: [186] [ 0/523] learning_rate: 0.126375 loss_vfl: 0.804150 loss_bbox: 0.284141 loss_dfl: 0.180900 loss: 1.254347 eta: 1 day, 14:43:22 batch_cost: 3.1848 data_cost: 0.8570 ips: 17.5837 images/s [10/16 18:21:59] ppdet.engine INFO: Epoch: [186] [ 20/523] learning_rate: 0.126301 loss_vfl: 0.826924 loss_bbox: 0.279690 loss_dfl: 0.186298 loss: 1.308817 eta: 1 day, 14:42:37 batch_cost: 2.4977 data_cost: 0.0012 ips: 22.4210 images/s [10/16 18:22:49] ppdet.engine INFO: Epoch: [186] [ 40/523] learning_rate: 0.126226 loss_vfl: 0.815328 loss_bbox: 0.291213 loss_dfl: 0.191426 loss: 1.305867 eta: 1 day, 14:41:51 batch_cost: 2.3872 data_cost: 0.0012 ips: 23.4587 images/s [10/16 18:23:40] ppdet.engine INFO: Epoch: [186] [ 60/523] learning_rate: 0.126152 loss_vfl: 0.821876 loss_bbox: 0.299590 loss_dfl: 0.195982 loss: 1.307483 eta: 1 day, 14:41:06 batch_cost: 2.4302 data_cost: 0.0019 ips: 23.0435 images/s [10/16 18:24:30] ppdet.engine INFO: Epoch: [186] [ 80/523] learning_rate: 0.126077 loss_vfl: 0.818644 loss_bbox: 0.281075 loss_dfl: 0.179326 loss: 1.271476 eta: 1 day, 14:40:19 batch_cost: 2.3796 data_cost: 0.0021 ips: 23.5334 images/s [10/16 18:25:22] ppdet.engine INFO: Epoch: [186] [100/523] learning_rate: 0.126003 loss_vfl: 0.821506 loss_bbox: 0.263900 loss_dfl: 0.181950 loss: 1.283004 eta: 1 day, 14:39:34 batch_cost: 2.4832 data_cost: 0.0018 ips: 22.5517 images/s [10/16 18:26:13] ppdet.engine INFO: Epoch: [186] [120/523] learning_rate: 0.125928 loss_vfl: 0.812032 loss_bbox: 0.274609 loss_dfl: 0.182223 loss: 1.260942 eta: 1 day, 14:38:49 batch_cost: 2.4358 data_cost: 0.0045 ips: 22.9900 images/s [10/16 18:27:02] ppdet.engine INFO: Epoch: [186] [140/523] learning_rate: 0.125854 loss_vfl: 0.825171 loss_bbox: 0.290475 loss_dfl: 0.190266 loss: 1.304167 eta: 1 day, 14:38:03 batch_cost: 2.3866 data_cost: 0.0012 ips: 23.4643 images/s [10/16 18:27:53] ppdet.engine INFO: Epoch: [186] [160/523] learning_rate: 0.125780 loss_vfl: 0.810377 loss_bbox: 0.274801 loss_dfl: 0.182263 loss: 1.277022 eta: 1 day, 14:37:17 batch_cost: 2.4124 data_cost: 0.0012 ips: 23.2134 images/s [10/16 18:28:42] ppdet.engine INFO: Epoch: [186] [180/523] learning_rate: 0.125705 loss_vfl: 0.819254 loss_bbox: 0.279222 loss_dfl: 0.189705 loss: 1.303207 eta: 1 day, 14:36:30 batch_cost: 2.3273 data_cost: 0.0012 ips: 24.0626 images/s [10/16 18:29:31] ppdet.engine INFO: Epoch: [186] [200/523] learning_rate: 0.125631 loss_vfl: 0.782594 loss_bbox: 0.293774 loss_dfl: 0.194948 loss: 1.273275 eta: 1 day, 14:35:43 batch_cost: 2.3601 data_cost: 0.0013 ips: 23.7274 images/s [10/16 18:30:20] ppdet.engine INFO: Epoch: [186] [220/523] learning_rate: 0.125557 loss_vfl: 0.817061 loss_bbox: 0.281954 loss_dfl: 0.186086 loss: 1.277463 eta: 1 day, 14:34:57 batch_cost: 2.3612 data_cost: 0.0013 ips: 23.7170 images/s [10/16 18:31:10] ppdet.engine INFO: Epoch: [186] [240/523] learning_rate: 0.125482 loss_vfl: 0.829686 loss_bbox: 0.282441 loss_dfl: 0.185818 loss: 1.296181 eta: 1 day, 14:34:11 batch_cost: 2.3784 data_cost: 0.0013 ips: 23.5452 images/s [10/16 18:32:00] ppdet.engine INFO: Epoch: [186] [260/523] learning_rate: 0.125408 loss_vfl: 0.821168 loss_bbox: 0.272580 loss_dfl: 0.180065 loss: 1.285550 eta: 1 day, 14:33:25 batch_cost: 2.3943 data_cost: 0.0013 ips: 23.3891 images/s [10/16 18:32:50] ppdet.engine INFO: Epoch: [186] [280/523] learning_rate: 0.125334 loss_vfl: 0.809970 loss_bbox: 0.283912 loss_dfl: 0.183867 loss: 1.265046 eta: 1 day, 14:32:38 batch_cost: 2.3728 data_cost: 0.0012 ips: 23.6005 images/s [10/16 18:33:37] ppdet.engine INFO: Epoch: [186] [300/523] learning_rate: 0.125259 loss_vfl: 0.817038 loss_bbox: 0.303999 loss_dfl: 0.192895 loss: 1.325668 eta: 1 day, 14:31:51 batch_cost: 2.2650 data_cost: 0.0012 ips: 24.7236 images/s [10/16 18:34:28] ppdet.engine INFO: Epoch: [186] [320/523] learning_rate: 0.125185 loss_vfl: 0.830409 loss_bbox: 0.281430 loss_dfl: 0.188591 loss: 1.291143 eta: 1 day, 14:31:05 batch_cost: 2.4135 data_cost: 0.0044 ips: 23.2032 images/s [10/16 18:35:17] ppdet.engine INFO: Epoch: [186] [340/523] learning_rate: 0.125111 loss_vfl: 0.827017 loss_bbox: 0.266433 loss_dfl: 0.179493 loss: 1.285979 eta: 1 day, 14:30:18 batch_cost: 2.3501 data_cost: 0.0019 ips: 23.8288 images/s [10/16 18:36:08] ppdet.engine INFO: Epoch: [186] [360/523] learning_rate: 0.125037 loss_vfl: 0.815058 loss_bbox: 0.286431 loss_dfl: 0.185735 loss: 1.290622 eta: 1 day, 14:29:32 batch_cost: 2.4218 data_cost: 0.0012 ips: 23.1232 images/s [10/16 18:36:58] ppdet.engine INFO: Epoch: [186] [380/523] learning_rate: 0.124962 loss_vfl: 0.827825 loss_bbox: 0.275204 loss_dfl: 0.181929 loss: 1.271162 eta: 1 day, 14:28:46 batch_cost: 2.3800 data_cost: 0.0013 ips: 23.5289 images/s [10/16 18:37:48] ppdet.engine INFO: Epoch: [186] [400/523] learning_rate: 0.124888 loss_vfl: 0.809057 loss_bbox: 0.272006 loss_dfl: 0.183369 loss: 1.265847 eta: 1 day, 14:28:00 batch_cost: 2.4074 data_cost: 0.0024 ips: 23.2618 images/s [10/16 18:38:38] ppdet.engine INFO: Epoch: [186] [420/523] learning_rate: 0.124814 loss_vfl: 0.817161 loss_bbox: 0.292889 loss_dfl: 0.194138 loss: 1.304646 eta: 1 day, 14:27:14 batch_cost: 2.3947 data_cost: 0.0018 ips: 23.3852 images/s [10/16 18:39:27] ppdet.engine INFO: Epoch: [186] [440/523] learning_rate: 0.124740 loss_vfl: 0.813743 loss_bbox: 0.275981 loss_dfl: 0.185222 loss: 1.293150 eta: 1 day, 14:26:28 batch_cost: 2.3628 data_cost: 0.0013 ips: 23.7005 images/s [10/16 18:40:18] ppdet.engine INFO: Epoch: [186] [460/523] learning_rate: 0.124665 loss_vfl: 0.826178 loss_bbox: 0.285939 loss_dfl: 0.190892 loss: 1.301856 eta: 1 day, 14:25:42 batch_cost: 2.4024 data_cost: 0.0012 ips: 23.3096 images/s [10/16 18:41:07] ppdet.engine INFO: Epoch: [186] [480/523] learning_rate: 0.124591 loss_vfl: 0.825040 loss_bbox: 0.269353 loss_dfl: 0.181382 loss: 1.288470 eta: 1 day, 14:24:55 batch_cost: 2.3817 data_cost: 0.0034 ips: 23.5129 images/s [10/16 18:41:58] ppdet.engine INFO: Epoch: [186] [500/523] learning_rate: 0.124517 loss_vfl: 0.811159 loss_bbox: 0.320249 loss_dfl: 0.200865 loss: 1.318199 eta: 1 day, 14:24:09 batch_cost: 2.4162 data_cost: 0.0013 ips: 23.1773 images/s [10/16 18:42:42] ppdet.engine INFO: Epoch: [186] [520/523] learning_rate: 0.124443 loss_vfl: 0.802730 loss_bbox: 0.271259 loss_dfl: 0.173719 loss: 1.263491 eta: 1 day, 14:23:20 batch_cost: 2.0868 data_cost: 0.0020 ips: 26.8356 images/s [10/16 18:43:14] ppdet.engine INFO: Epoch: [187] [ 0/523] learning_rate: 0.124432 loss_vfl: 0.810792 loss_bbox: 0.271259 loss_dfl: 0.173719 loss: 1.263491 eta: 1 day, 14:23:25 batch_cost: 3.1054 data_cost: 0.6097 ips: 18.0329 images/s [10/16 18:44:06] ppdet.engine INFO: Epoch: [187] [ 20/523] learning_rate: 0.124358 loss_vfl: 0.814484 loss_bbox: 0.297824 loss_dfl: 0.192048 loss: 1.303329 eta: 1 day, 14:22:40 batch_cost: 2.5046 data_cost: 0.0012 ips: 22.3590 images/s [10/16 18:44:56] ppdet.engine INFO: Epoch: [187] [ 40/523] learning_rate: 0.124284 loss_vfl: 0.807667 loss_bbox: 0.284079 loss_dfl: 0.184196 loss: 1.291210 eta: 1 day, 14:21:54 batch_cost: 2.3929 data_cost: 0.0012 ips: 23.4029 images/s [10/16 18:45:45] ppdet.engine INFO: Epoch: [187] [ 60/523] learning_rate: 0.124209 loss_vfl: 0.808565 loss_bbox: 0.269343 loss_dfl: 0.184271 loss: 1.285093 eta: 1 day, 14:21:07 batch_cost: 2.3516 data_cost: 0.0012 ips: 23.8137 images/s [10/16 18:46:34] ppdet.engine INFO: Epoch: [187] [ 80/523] learning_rate: 0.124135 loss_vfl: 0.808981 loss_bbox: 0.288571 loss_dfl: 0.186181 loss: 1.261031 eta: 1 day, 14:20:21 batch_cost: 2.3714 data_cost: 0.0012 ips: 23.6152 images/s [10/16 18:47:24] ppdet.engine INFO: Epoch: [187] [100/523] learning_rate: 0.124061 loss_vfl: 0.814317 loss_bbox: 0.253904 loss_dfl: 0.173563 loss: 1.248348 eta: 1 day, 14:19:34 batch_cost: 2.3594 data_cost: 0.0021 ips: 23.7346 images/s [10/16 18:48:13] ppdet.engine INFO: Epoch: [187] [120/523] learning_rate: 0.123987 loss_vfl: 0.810585 loss_bbox: 0.283849 loss_dfl: 0.186395 loss: 1.296177 eta: 1 day, 14:18:48 batch_cost: 2.3474 data_cost: 0.0012 ips: 23.8561 images/s [10/16 18:49:02] ppdet.engine INFO: Epoch: [187] [140/523] learning_rate: 0.123913 loss_vfl: 0.801894 loss_bbox: 0.272929 loss_dfl: 0.181927 loss: 1.266353 eta: 1 day, 14:18:01 batch_cost: 2.3693 data_cost: 0.0013 ips: 23.6359 images/s [10/16 18:49:51] ppdet.engine INFO: Epoch: [187] [160/523] learning_rate: 0.123839 loss_vfl: 0.820955 loss_bbox: 0.263683 loss_dfl: 0.185041 loss: 1.269002 eta: 1 day, 14:17:15 batch_cost: 2.3315 data_cost: 0.0019 ips: 24.0184 images/s [10/16 18:50:42] ppdet.engine INFO: Epoch: [187] [180/523] learning_rate: 0.123765 loss_vfl: 0.809144 loss_bbox: 0.285438 loss_dfl: 0.186274 loss: 1.293555 eta: 1 day, 14:16:29 batch_cost: 2.4144 data_cost: 0.0021 ips: 23.1940 images/s [10/16 18:51:30] ppdet.engine INFO: Epoch: [187] [200/523] learning_rate: 0.123691 loss_vfl: 0.807736 loss_bbox: 0.269447 loss_dfl: 0.182482 loss: 1.252769 eta: 1 day, 14:15:41 batch_cost: 2.3024 data_cost: 0.0020 ips: 24.3224 images/s [10/16 18:52:19] ppdet.engine INFO: Epoch: [187] [220/523] learning_rate: 0.123617 loss_vfl: 0.821226 loss_bbox: 0.276857 loss_dfl: 0.185536 loss: 1.280716 eta: 1 day, 14:14:54 batch_cost: 2.3123 data_cost: 0.0013 ips: 24.2185 images/s [10/16 18:53:09] ppdet.engine INFO: Epoch: [187] [240/523] learning_rate: 0.123543 loss_vfl: 0.827697 loss_bbox: 0.276647 loss_dfl: 0.183124 loss: 1.278995 eta: 1 day, 14:14:08 batch_cost: 2.3990 data_cost: 0.0012 ips: 23.3428 images/s [10/16 18:53:57] ppdet.engine INFO: Epoch: [187] [260/523] learning_rate: 0.123469 loss_vfl: 0.816501 loss_bbox: 0.276522 loss_dfl: 0.186272 loss: 1.293558 eta: 1 day, 14:13:21 batch_cost: 2.3278 data_cost: 0.0012 ips: 24.0574 images/s [10/16 18:54:48] ppdet.engine INFO: Epoch: [187] [280/523] learning_rate: 0.123395 loss_vfl: 0.808751 loss_bbox: 0.275996 loss_dfl: 0.181183 loss: 1.270504 eta: 1 day, 14:12:36 batch_cost: 2.4140 data_cost: 0.0012 ips: 23.1981 images/s [10/16 18:55:36] ppdet.engine INFO: Epoch: [187] [300/523] learning_rate: 0.123321 loss_vfl: 0.806627 loss_bbox: 0.280820 loss_dfl: 0.186827 loss: 1.287402 eta: 1 day, 14:11:49 batch_cost: 2.3255 data_cost: 0.0013 ips: 24.0804 images/s [10/16 18:56:26] ppdet.engine INFO: Epoch: [187] [320/523] learning_rate: 0.123247 loss_vfl: 0.821960 loss_bbox: 0.275645 loss_dfl: 0.176007 loss: 1.262141 eta: 1 day, 14:11:02 batch_cost: 2.3807 data_cost: 0.0013 ips: 23.5224 images/s [10/16 18:57:15] ppdet.engine INFO: Epoch: [187] [340/523] learning_rate: 0.123173 loss_vfl: 0.810498 loss_bbox: 0.289753 loss_dfl: 0.191913 loss: 1.307271 eta: 1 day, 14:10:15 batch_cost: 2.3210 data_cost: 0.0012 ips: 24.1271 images/s [10/16 18:58:04] ppdet.engine INFO: Epoch: [187] [360/523] learning_rate: 0.123099 loss_vfl: 0.814696 loss_bbox: 0.267169 loss_dfl: 0.181477 loss: 1.275756 eta: 1 day, 14:09:29 batch_cost: 2.3488 data_cost: 0.0018 ips: 23.8415 images/s [10/16 18:58:53] ppdet.engine INFO: Epoch: [187] [380/523] learning_rate: 0.123025 loss_vfl: 0.808535 loss_bbox: 0.289086 loss_dfl: 0.186039 loss: 1.288876 eta: 1 day, 14:08:42 batch_cost: 2.3419 data_cost: 0.0013 ips: 23.9126 images/s [10/16 18:59:43] ppdet.engine INFO: Epoch: [187] [400/523] learning_rate: 0.122951 loss_vfl: 0.811955 loss_bbox: 0.290844 loss_dfl: 0.186705 loss: 1.295017 eta: 1 day, 14:07:56 batch_cost: 2.3747 data_cost: 0.0013 ips: 23.5822 images/s [10/16 19:00:34] ppdet.engine INFO: Epoch: [187] [420/523] learning_rate: 0.122877 loss_vfl: 0.825593 loss_bbox: 0.282898 loss_dfl: 0.191777 loss: 1.293909 eta: 1 day, 14:07:10 batch_cost: 2.4120 data_cost: 0.0020 ips: 23.2172 images/s [10/16 19:01:26] ppdet.engine INFO: Epoch: [187] [440/523] learning_rate: 0.122803 loss_vfl: 0.800548 loss_bbox: 0.265722 loss_dfl: 0.179970 loss: 1.258424 eta: 1 day, 14:06:25 batch_cost: 2.4876 data_cost: 0.0018 ips: 22.5118 images/s [10/16 19:02:16] ppdet.engine INFO: Epoch: [187] [460/523] learning_rate: 0.122730 loss_vfl: 0.806744 loss_bbox: 0.264939 loss_dfl: 0.183202 loss: 1.257539 eta: 1 day, 14:05:39 batch_cost: 2.3959 data_cost: 0.0020 ips: 23.3736 images/s [10/16 19:03:05] ppdet.engine INFO: Epoch: [187] [480/523] learning_rate: 0.122656 loss_vfl: 0.824395 loss_bbox: 0.289837 loss_dfl: 0.188965 loss: 1.311296 eta: 1 day, 14:04:52 batch_cost: 2.3851 data_cost: 0.0012 ips: 23.4792 images/s [10/16 19:03:55] ppdet.engine INFO: Epoch: [187] [500/523] learning_rate: 0.122582 loss_vfl: 0.822727 loss_bbox: 0.299682 loss_dfl: 0.190815 loss: 1.300865 eta: 1 day, 14:04:06 batch_cost: 2.3574 data_cost: 0.0027 ips: 23.7553 images/s [10/16 19:04:37] ppdet.engine INFO: Epoch: [187] [520/523] learning_rate: 0.122508 loss_vfl: 0.813153 loss_bbox: 0.284206 loss_dfl: 0.188745 loss: 1.297955 eta: 1 day, 14:03:16 batch_cost: 2.0418 data_cost: 0.0012 ips: 27.4272 images/s [10/16 19:05:07] ppdet.engine INFO: Epoch: [188] [ 0/523] learning_rate: 0.122497 loss_vfl: 0.817061 loss_bbox: 0.284206 loss_dfl: 0.188745 loss: 1.302516 eta: 1 day, 14:03:20 batch_cost: 2.9561 data_cost: 0.6982 ips: 18.9440 images/s [10/16 19:05:59] ppdet.engine INFO: Epoch: [188] [ 20/523] learning_rate: 0.122423 loss_vfl: 0.806939 loss_bbox: 0.273224 loss_dfl: 0.184086 loss: 1.270989 eta: 1 day, 14:02:35 batch_cost: 2.4995 data_cost: 0.0013 ips: 22.4047 images/s [10/16 19:06:50] ppdet.engine INFO: Epoch: [188] [ 40/523] learning_rate: 0.122349 loss_vfl: 0.812259 loss_bbox: 0.281986 loss_dfl: 0.179223 loss: 1.280620 eta: 1 day, 14:01:49 batch_cost: 2.4422 data_cost: 0.0021 ips: 22.9300 images/s [10/16 19:07:41] ppdet.engine INFO: Epoch: [188] [ 60/523] learning_rate: 0.122275 loss_vfl: 0.814200 loss_bbox: 0.290774 loss_dfl: 0.189297 loss: 1.291631 eta: 1 day, 14:01:04 batch_cost: 2.4391 data_cost: 0.0028 ips: 22.9591 images/s [10/16 19:08:31] ppdet.engine INFO: Epoch: [188] [ 80/523] learning_rate: 0.122202 loss_vfl: 0.805584 loss_bbox: 0.278873 loss_dfl: 0.194399 loss: 1.279743 eta: 1 day, 14:00:18 batch_cost: 2.3849 data_cost: 0.0036 ips: 23.4813 images/s [10/16 19:09:20] ppdet.engine INFO: Epoch: [188] [100/523] learning_rate: 0.122128 loss_vfl: 0.807098 loss_bbox: 0.270943 loss_dfl: 0.184361 loss: 1.252580 eta: 1 day, 13:59:31 batch_cost: 2.3709 data_cost: 0.0019 ips: 23.6198 images/s [10/16 19:10:10] ppdet.engine INFO: Epoch: [188] [120/523] learning_rate: 0.122054 loss_vfl: 0.835043 loss_bbox: 0.285509 loss_dfl: 0.185184 loss: 1.297578 eta: 1 day, 13:58:45 batch_cost: 2.3661 data_cost: 0.0012 ips: 23.6678 images/s [10/16 19:10:58] ppdet.engine INFO: Epoch: [188] [140/523] learning_rate: 0.121980 loss_vfl: 0.818399 loss_bbox: 0.272067 loss_dfl: 0.182271 loss: 1.272354 eta: 1 day, 13:57:58 batch_cost: 2.3231 data_cost: 0.0012 ips: 24.1053 images/s [10/16 19:11:48] ppdet.engine INFO: Epoch: [188] [160/523] learning_rate: 0.121907 loss_vfl: 0.804164 loss_bbox: 0.285733 loss_dfl: 0.188912 loss: 1.306621 eta: 1 day, 13:57:11 batch_cost: 2.3634 data_cost: 0.0036 ips: 23.6942 images/s [10/16 19:12:36] ppdet.engine INFO: Epoch: [188] [180/523] learning_rate: 0.121833 loss_vfl: 0.804570 loss_bbox: 0.285533 loss_dfl: 0.184896 loss: 1.285052 eta: 1 day, 13:56:24 batch_cost: 2.3141 data_cost: 0.0012 ips: 24.1996 images/s [10/16 19:13:26] ppdet.engine INFO: Epoch: [188] [200/523] learning_rate: 0.121759 loss_vfl: 0.828796 loss_bbox: 0.282722 loss_dfl: 0.186345 loss: 1.309763 eta: 1 day, 13:55:38 batch_cost: 2.3537 data_cost: 0.0012 ips: 23.7928 images/s [10/16 19:14:16] ppdet.engine INFO: Epoch: [188] [220/523] learning_rate: 0.121685 loss_vfl: 0.815637 loss_bbox: 0.298527 loss_dfl: 0.187733 loss: 1.303213 eta: 1 day, 13:54:51 batch_cost: 2.3956 data_cost: 0.0020 ips: 23.3764 images/s [10/16 19:15:04] ppdet.engine INFO: Epoch: [188] [240/523] learning_rate: 0.121612 loss_vfl: 0.811181 loss_bbox: 0.265891 loss_dfl: 0.174648 loss: 1.243860 eta: 1 day, 13:54:04 batch_cost: 2.2909 data_cost: 0.0012 ips: 24.4444 images/s [10/16 19:15:53] ppdet.engine INFO: Epoch: [188] [260/523] learning_rate: 0.121538 loss_vfl: 0.797203 loss_bbox: 0.295540 loss_dfl: 0.191590 loss: 1.285020 eta: 1 day, 13:53:18 batch_cost: 2.3817 data_cost: 0.0023 ips: 23.5124 images/s [10/16 19:16:43] ppdet.engine INFO: Epoch: [188] [280/523] learning_rate: 0.121464 loss_vfl: 0.810126 loss_bbox: 0.271556 loss_dfl: 0.184050 loss: 1.272484 eta: 1 day, 13:52:31 batch_cost: 2.3647 data_cost: 0.0013 ips: 23.6816 images/s [10/16 19:17:32] ppdet.engine INFO: Epoch: [188] [300/523] learning_rate: 0.121391 loss_vfl: 0.820046 loss_bbox: 0.273264 loss_dfl: 0.187119 loss: 1.276538 eta: 1 day, 13:51:45 batch_cost: 2.3478 data_cost: 0.0013 ips: 23.8525 images/s [10/16 19:18:23] ppdet.engine INFO: Epoch: [188] [320/523] learning_rate: 0.121317 loss_vfl: 0.802008 loss_bbox: 0.284083 loss_dfl: 0.189675 loss: 1.283020 eta: 1 day, 13:50:59 batch_cost: 2.4582 data_cost: 0.0019 ips: 22.7812 images/s [10/16 19:19:13] ppdet.engine INFO: Epoch: [188] [340/523] learning_rate: 0.121244 loss_vfl: 0.812906 loss_bbox: 0.274701 loss_dfl: 0.182957 loss: 1.282289 eta: 1 day, 13:50:13 batch_cost: 2.3779 data_cost: 0.0028 ips: 23.5499 images/s [10/16 19:20:03] ppdet.engine INFO: Epoch: [188] [360/523] learning_rate: 0.121170 loss_vfl: 0.815425 loss_bbox: 0.287417 loss_dfl: 0.187164 loss: 1.283713 eta: 1 day, 13:49:27 batch_cost: 2.3911 data_cost: 0.0013 ips: 23.4201 images/s [10/16 19:20:53] ppdet.engine INFO: Epoch: [188] [380/523] learning_rate: 0.121096 loss_vfl: 0.812122 loss_bbox: 0.292830 loss_dfl: 0.192806 loss: 1.283610 eta: 1 day, 13:48:40 batch_cost: 2.3571 data_cost: 0.0019 ips: 23.7576 images/s [10/16 19:21:42] ppdet.engine INFO: Epoch: [188] [400/523] learning_rate: 0.121023 loss_vfl: 0.815927 loss_bbox: 0.293027 loss_dfl: 0.199237 loss: 1.317821 eta: 1 day, 13:47:54 batch_cost: 2.3568 data_cost: 0.0026 ips: 23.7608 images/s [10/16 19:22:32] ppdet.engine INFO: Epoch: [188] [420/523] learning_rate: 0.120949 loss_vfl: 0.812238 loss_bbox: 0.276294 loss_dfl: 0.188076 loss: 1.273207 eta: 1 day, 13:47:07 batch_cost: 2.3857 data_cost: 0.0019 ips: 23.4734 images/s [10/16 19:23:21] ppdet.engine INFO: Epoch: [188] [440/523] learning_rate: 0.120876 loss_vfl: 0.827481 loss_bbox: 0.290092 loss_dfl: 0.187994 loss: 1.322651 eta: 1 day, 13:46:21 batch_cost: 2.3571 data_cost: 0.0012 ips: 23.7585 images/s [10/16 19:24:11] ppdet.engine INFO: Epoch: [188] [460/523] learning_rate: 0.120802 loss_vfl: 0.812405 loss_bbox: 0.278659 loss_dfl: 0.180292 loss: 1.290433 eta: 1 day, 13:45:35 batch_cost: 2.4047 data_cost: 0.0014 ips: 23.2878 images/s [10/16 19:25:01] ppdet.engine INFO: Epoch: [188] [480/523] learning_rate: 0.120728 loss_vfl: 0.816823 loss_bbox: 0.292799 loss_dfl: 0.194797 loss: 1.310610 eta: 1 day, 13:44:48 batch_cost: 2.3415 data_cost: 0.0013 ips: 23.9168 images/s [10/16 19:25:49] ppdet.engine INFO: Epoch: [188] [500/523] learning_rate: 0.120655 loss_vfl: 0.799069 loss_bbox: 0.289525 loss_dfl: 0.189837 loss: 1.264614 eta: 1 day, 13:44:01 batch_cost: 2.3280 data_cost: 0.0028 ips: 24.0550 images/s [10/16 19:26:34] ppdet.engine INFO: Epoch: [188] [520/523] learning_rate: 0.120581 loss_vfl: 0.804646 loss_bbox: 0.285459 loss_dfl: 0.193466 loss: 1.285050 eta: 1 day, 13:43:12 batch_cost: 2.1396 data_cost: 0.0019 ips: 26.1731 images/s [10/16 19:27:04] ppdet.engine INFO: Epoch: [189] [ 0/523] learning_rate: 0.120570 loss_vfl: 0.805562 loss_bbox: 0.285459 loss_dfl: 0.192818 loss: 1.291439 eta: 1 day, 13:43:15 batch_cost: 3.0109 data_cost: 0.6749 ips: 18.5992 images/s [10/16 19:28:00] ppdet.engine INFO: Epoch: [189] [ 20/523] learning_rate: 0.120497 loss_vfl: 0.824382 loss_bbox: 0.274862 loss_dfl: 0.178998 loss: 1.271776 eta: 1 day, 13:42:33 batch_cost: 2.7044 data_cost: 0.0014 ips: 20.7070 images/s [10/16 19:28:53] ppdet.engine INFO: Epoch: [189] [ 40/523] learning_rate: 0.120423 loss_vfl: 0.808147 loss_bbox: 0.287117 loss_dfl: 0.193056 loss: 1.276660 eta: 1 day, 13:41:48 batch_cost: 2.5362 data_cost: 0.0014 ips: 22.0804 images/s [10/16 19:29:44] ppdet.engine INFO: Epoch: [189] [ 60/523] learning_rate: 0.120350 loss_vfl: 0.804839 loss_bbox: 0.284552 loss_dfl: 0.192504 loss: 1.268166 eta: 1 day, 13:41:03 batch_cost: 2.4503 data_cost: 0.0019 ips: 22.8545 images/s [10/16 19:30:35] ppdet.engine INFO: Epoch: [189] [ 80/523] learning_rate: 0.120277 loss_vfl: 0.804433 loss_bbox: 0.273423 loss_dfl: 0.185688 loss: 1.273147 eta: 1 day, 13:40:17 batch_cost: 2.3980 data_cost: 0.0019 ips: 23.3524 images/s [10/16 19:31:25] ppdet.engine INFO: Epoch: [189] [100/523] learning_rate: 0.120203 loss_vfl: 0.807652 loss_bbox: 0.276008 loss_dfl: 0.179460 loss: 1.270775 eta: 1 day, 13:39:31 batch_cost: 2.3945 data_cost: 0.0012 ips: 23.3868 images/s [10/16 19:32:15] ppdet.engine INFO: Epoch: [189] [120/523] learning_rate: 0.120130 loss_vfl: 0.801035 loss_bbox: 0.282725 loss_dfl: 0.188604 loss: 1.274014 eta: 1 day, 13:38:44 batch_cost: 2.3711 data_cost: 0.0023 ips: 23.6180 images/s [10/16 19:33:06] ppdet.engine INFO: Epoch: [189] [140/523] learning_rate: 0.120056 loss_vfl: 0.805452 loss_bbox: 0.279682 loss_dfl: 0.188102 loss: 1.280193 eta: 1 day, 13:37:59 batch_cost: 2.4370 data_cost: 0.0012 ips: 22.9792 images/s [10/16 19:33:55] ppdet.engine INFO: Epoch: [189] [160/523] learning_rate: 0.119983 loss_vfl: 0.819125 loss_bbox: 0.285701 loss_dfl: 0.185734 loss: 1.293824 eta: 1 day, 13:37:12 batch_cost: 2.3731 data_cost: 0.0012 ips: 23.5976 images/s [10/16 19:34:45] ppdet.engine INFO: Epoch: [189] [180/523] learning_rate: 0.119909 loss_vfl: 0.821774 loss_bbox: 0.269889 loss_dfl: 0.180600 loss: 1.265297 eta: 1 day, 13:36:26 batch_cost: 2.3659 data_cost: 0.0012 ips: 23.6695 images/s [10/16 19:35:34] ppdet.engine INFO: Epoch: [189] [200/523] learning_rate: 0.119836 loss_vfl: 0.807948 loss_bbox: 0.276655 loss_dfl: 0.188909 loss: 1.281581 eta: 1 day, 13:35:39 batch_cost: 2.3295 data_cost: 0.0013 ips: 24.0399 images/s [10/16 19:36:26] ppdet.engine INFO: Epoch: [189] [220/523] learning_rate: 0.119763 loss_vfl: 0.824812 loss_bbox: 0.291000 loss_dfl: 0.190323 loss: 1.302090 eta: 1 day, 13:34:54 batch_cost: 2.4777 data_cost: 0.0041 ips: 22.6018 images/s [10/16 19:37:18] ppdet.engine INFO: Epoch: [189] [240/523] learning_rate: 0.119689 loss_vfl: 0.810260 loss_bbox: 0.290886 loss_dfl: 0.194494 loss: 1.293378 eta: 1 day, 13:34:09 batch_cost: 2.5203 data_cost: 0.0027 ips: 22.2195 images/s [10/16 19:38:07] ppdet.engine INFO: Epoch: [189] [260/523] learning_rate: 0.119616 loss_vfl: 0.806295 loss_bbox: 0.276843 loss_dfl: 0.184667 loss: 1.277944 eta: 1 day, 13:33:22 batch_cost: 2.3129 data_cost: 0.0012 ips: 24.2121 images/s [10/16 19:38:57] ppdet.engine INFO: Epoch: [189] [280/523] learning_rate: 0.119543 loss_vfl: 0.803455 loss_bbox: 0.260175 loss_dfl: 0.179916 loss: 1.253614 eta: 1 day, 13:32:35 batch_cost: 2.3752 data_cost: 0.0026 ips: 23.5768 images/s [10/16 19:39:45] ppdet.engine INFO: Epoch: [189] [300/523] learning_rate: 0.119469 loss_vfl: 0.821761 loss_bbox: 0.286065 loss_dfl: 0.183564 loss: 1.270524 eta: 1 day, 13:31:48 batch_cost: 2.3022 data_cost: 0.0018 ips: 24.3245 images/s [10/16 19:40:35] ppdet.engine INFO: Epoch: [189] [320/523] learning_rate: 0.119396 loss_vfl: 0.821386 loss_bbox: 0.286074 loss_dfl: 0.184594 loss: 1.288839 eta: 1 day, 13:31:02 batch_cost: 2.3941 data_cost: 0.0012 ips: 23.3909 images/s [10/16 19:41:25] ppdet.engine INFO: Epoch: [189] [340/523] learning_rate: 0.119323 loss_vfl: 0.800614 loss_bbox: 0.280518 loss_dfl: 0.186530 loss: 1.269734 eta: 1 day, 13:30:15 batch_cost: 2.3558 data_cost: 0.0022 ips: 23.7707 images/s [10/16 19:42:13] ppdet.engine INFO: Epoch: [189] [360/523] learning_rate: 0.119249 loss_vfl: 0.819009 loss_bbox: 0.302917 loss_dfl: 0.191150 loss: 1.312414 eta: 1 day, 13:29:29 batch_cost: 2.3318 data_cost: 0.0018 ips: 24.0153 images/s [10/16 19:43:04] ppdet.engine INFO: Epoch: [189] [380/523] learning_rate: 0.119176 loss_vfl: 0.817667 loss_bbox: 0.279466 loss_dfl: 0.185853 loss: 1.292590 eta: 1 day, 13:28:42 batch_cost: 2.3982 data_cost: 0.0012 ips: 23.3508 images/s [10/16 19:43:54] ppdet.engine INFO: Epoch: [189] [400/523] learning_rate: 0.119103 loss_vfl: 0.815702 loss_bbox: 0.275394 loss_dfl: 0.188913 loss: 1.280773 eta: 1 day, 13:27:56 batch_cost: 2.3966 data_cost: 0.0012 ips: 23.3668 images/s [10/16 19:44:44] ppdet.engine INFO: Epoch: [189] [420/523] learning_rate: 0.119030 loss_vfl: 0.811699 loss_bbox: 0.274304 loss_dfl: 0.185587 loss: 1.278555 eta: 1 day, 13:27:10 batch_cost: 2.3730 data_cost: 0.0016 ips: 23.5990 images/s [10/16 19:45:34] ppdet.engine INFO: Epoch: [189] [440/523] learning_rate: 0.118956 loss_vfl: 0.831248 loss_bbox: 0.262188 loss_dfl: 0.182003 loss: 1.272881 eta: 1 day, 13:26:24 batch_cost: 2.4073 data_cost: 0.0013 ips: 23.2627 images/s [10/16 19:46:22] ppdet.engine INFO: Epoch: [189] [460/523] learning_rate: 0.118883 loss_vfl: 0.793046 loss_bbox: 0.283569 loss_dfl: 0.189013 loss: 1.265463 eta: 1 day, 13:25:37 batch_cost: 2.3105 data_cost: 0.0013 ips: 24.2376 images/s [10/16 19:47:12] ppdet.engine INFO: Epoch: [189] [480/523] learning_rate: 0.118810 loss_vfl: 0.819881 loss_bbox: 0.291554 loss_dfl: 0.190000 loss: 1.297737 eta: 1 day, 13:24:50 batch_cost: 2.3674 data_cost: 0.0012 ips: 23.6545 images/s [10/16 19:48:02] ppdet.engine INFO: Epoch: [189] [500/523] learning_rate: 0.118737 loss_vfl: 0.797163 loss_bbox: 0.281363 loss_dfl: 0.188677 loss: 1.301550 eta: 1 day, 13:24:04 batch_cost: 2.3616 data_cost: 0.0018 ips: 23.7132 images/s [10/16 19:48:46] ppdet.engine INFO: Epoch: [189] [520/523] learning_rate: 0.118664 loss_vfl: 0.818971 loss_bbox: 0.274070 loss_dfl: 0.186735 loss: 1.294125 eta: 1 day, 13:23:14 batch_cost: 2.1153 data_cost: 0.0012 ips: 26.4735 images/s [10/16 19:48:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 19:48:55] ppdet.engine INFO: Eval iter: 0 [10/16 19:49:34] ppdet.engine INFO: Eval iter: 100 [10/16 19:49:53] ppdet.engine INFO: Eval iter: 200 [10/16 19:50:13] ppdet.engine INFO: Eval iter: 300 [10/16 19:50:33] ppdet.engine INFO: Eval iter: 400 [10/16 19:50:53] ppdet.engine INFO: Eval iter: 500 [10/16 19:51:13] ppdet.engine INFO: Eval iter: 600 [10/16 19:51:33] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.01s) creating index... index created! [10/16 19:51:35] 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=102.00s). Accumulating evaluation results... DONE (t=18.51s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.358 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.148 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 ] = 0.569 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.304 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.514 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.243 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.754 [10/16 19:53:42] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.283750106303394 [10/16 19:53:42] ppdet.engine INFO: Best test bbox ap is 0.358. [10/16 19:53:42] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 19:53:44] ppdet.engine INFO: Epoch: [190] [ 0/523] learning_rate: 0.118653 loss_vfl: 0.822590 loss_bbox: 0.273391 loss_dfl: 0.184065 loss: 1.291444 eta: 1 day, 13:23:06 batch_cost: 2.0031 data_cost: 0.0013 ips: 27.9573 images/s [10/16 19:54:35] ppdet.engine INFO: Epoch: [190] [ 20/523] learning_rate: 0.118580 loss_vfl: 0.811950 loss_bbox: 0.284324 loss_dfl: 0.181262 loss: 1.277808 eta: 1 day, 13:22:21 batch_cost: 2.4467 data_cost: 0.0013 ips: 22.8878 images/s [10/16 19:55:25] ppdet.engine INFO: Epoch: [190] [ 40/523] learning_rate: 0.118506 loss_vfl: 0.814121 loss_bbox: 0.266490 loss_dfl: 0.177957 loss: 1.275565 eta: 1 day, 13:21:35 batch_cost: 2.3792 data_cost: 0.0012 ips: 23.5372 images/s [10/16 19:56:16] ppdet.engine INFO: Epoch: [190] [ 60/523] learning_rate: 0.118433 loss_vfl: 0.816538 loss_bbox: 0.287102 loss_dfl: 0.188265 loss: 1.288362 eta: 1 day, 13:20:49 batch_cost: 2.4109 data_cost: 0.0012 ips: 23.2276 images/s [10/16 19:57:05] ppdet.engine INFO: Epoch: [190] [ 80/523] learning_rate: 0.118360 loss_vfl: 0.793866 loss_bbox: 0.270568 loss_dfl: 0.178306 loss: 1.263478 eta: 1 day, 13:20:02 batch_cost: 2.3558 data_cost: 0.0025 ips: 23.7706 images/s [10/16 19:57:55] ppdet.engine INFO: Epoch: [190] [100/523] learning_rate: 0.118287 loss_vfl: 0.794748 loss_bbox: 0.285600 loss_dfl: 0.186458 loss: 1.283574 eta: 1 day, 13:19:16 batch_cost: 2.3755 data_cost: 0.0014 ips: 23.5742 images/s [10/16 19:58:43] ppdet.engine INFO: Epoch: [190] [120/523] learning_rate: 0.118214 loss_vfl: 0.809911 loss_bbox: 0.273353 loss_dfl: 0.189865 loss: 1.287768 eta: 1 day, 13:18:28 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2056 images/s [10/16 19:59:33] ppdet.engine INFO: Epoch: [190] [140/523] learning_rate: 0.118141 loss_vfl: 0.813871 loss_bbox: 0.289956 loss_dfl: 0.190841 loss: 1.298545 eta: 1 day, 13:17:42 batch_cost: 2.3560 data_cost: 0.0019 ips: 23.7689 images/s [10/16 20:00:22] ppdet.engine INFO: Epoch: [190] [160/523] learning_rate: 0.118068 loss_vfl: 0.819089 loss_bbox: 0.256542 loss_dfl: 0.172782 loss: 1.240413 eta: 1 day, 13:16:55 batch_cost: 2.3492 data_cost: 0.0012 ips: 23.8382 images/s [10/16 20:01:11] ppdet.engine INFO: Epoch: [190] [180/523] learning_rate: 0.117995 loss_vfl: 0.804034 loss_bbox: 0.280436 loss_dfl: 0.186117 loss: 1.276736 eta: 1 day, 13:16:08 batch_cost: 2.3371 data_cost: 0.0012 ips: 23.9614 images/s [10/16 20:02:00] ppdet.engine INFO: Epoch: [190] [200/523] learning_rate: 0.117922 loss_vfl: 0.805343 loss_bbox: 0.282939 loss_dfl: 0.189832 loss: 1.279698 eta: 1 day, 13:15:22 batch_cost: 2.3373 data_cost: 0.0013 ips: 23.9588 images/s [10/16 20:02:49] ppdet.engine INFO: Epoch: [190] [220/523] learning_rate: 0.117849 loss_vfl: 0.818604 loss_bbox: 0.295992 loss_dfl: 0.187264 loss: 1.299650 eta: 1 day, 13:14:35 batch_cost: 2.3756 data_cost: 0.0013 ips: 23.5727 images/s [10/16 20:03:38] ppdet.engine INFO: Epoch: [190] [240/523] learning_rate: 0.117776 loss_vfl: 0.793132 loss_bbox: 0.267109 loss_dfl: 0.181392 loss: 1.245699 eta: 1 day, 13:13:48 batch_cost: 2.3003 data_cost: 0.0012 ips: 24.3447 images/s [10/16 20:04:26] ppdet.engine INFO: Epoch: [190] [260/523] learning_rate: 0.117703 loss_vfl: 0.819012 loss_bbox: 0.273265 loss_dfl: 0.185012 loss: 1.277670 eta: 1 day, 13:13:01 batch_cost: 2.3213 data_cost: 0.0021 ips: 24.1246 images/s [10/16 20:05:16] ppdet.engine INFO: Epoch: [190] [280/523] learning_rate: 0.117630 loss_vfl: 0.814437 loss_bbox: 0.283583 loss_dfl: 0.188178 loss: 1.290099 eta: 1 day, 13:12:15 batch_cost: 2.3729 data_cost: 0.0019 ips: 23.6000 images/s [10/16 20:06:05] ppdet.engine INFO: Epoch: [190] [300/523] learning_rate: 0.117557 loss_vfl: 0.803947 loss_bbox: 0.281212 loss_dfl: 0.187661 loss: 1.278672 eta: 1 day, 13:11:28 batch_cost: 2.3590 data_cost: 0.0012 ips: 23.7388 images/s [10/16 20:06:53] ppdet.engine INFO: Epoch: [190] [320/523] learning_rate: 0.117484 loss_vfl: 0.802434 loss_bbox: 0.280733 loss_dfl: 0.186198 loss: 1.276389 eta: 1 day, 13:10:40 batch_cost: 2.2772 data_cost: 0.0012 ips: 24.5918 images/s [10/16 20:07:44] ppdet.engine INFO: Epoch: [190] [340/523] learning_rate: 0.117411 loss_vfl: 0.820918 loss_bbox: 0.279112 loss_dfl: 0.183929 loss: 1.291095 eta: 1 day, 13:09:54 batch_cost: 2.3954 data_cost: 0.0022 ips: 23.3786 images/s [10/16 20:08:33] ppdet.engine INFO: Epoch: [190] [360/523] learning_rate: 0.117338 loss_vfl: 0.816214 loss_bbox: 0.271412 loss_dfl: 0.183505 loss: 1.297127 eta: 1 day, 13:09:08 batch_cost: 2.3767 data_cost: 0.0013 ips: 23.5619 images/s [10/16 20:09:23] ppdet.engine INFO: Epoch: [190] [380/523] learning_rate: 0.117265 loss_vfl: 0.818120 loss_bbox: 0.291801 loss_dfl: 0.185898 loss: 1.287825 eta: 1 day, 13:08:22 batch_cost: 2.3711 data_cost: 0.0020 ips: 23.6181 images/s [10/16 20:10:14] ppdet.engine INFO: Epoch: [190] [400/523] learning_rate: 0.117192 loss_vfl: 0.802944 loss_bbox: 0.288183 loss_dfl: 0.185878 loss: 1.273574 eta: 1 day, 13:07:36 batch_cost: 2.4364 data_cost: 0.0012 ips: 22.9852 images/s [10/16 20:11:03] ppdet.engine INFO: Epoch: [190] [420/523] learning_rate: 0.117119 loss_vfl: 0.804464 loss_bbox: 0.289185 loss_dfl: 0.184930 loss: 1.287257 eta: 1 day, 13:06:49 batch_cost: 2.3665 data_cost: 0.0025 ips: 23.6634 images/s [10/16 20:11:56] ppdet.engine INFO: Epoch: [190] [440/523] learning_rate: 0.117046 loss_vfl: 0.807274 loss_bbox: 0.294492 loss_dfl: 0.193353 loss: 1.295245 eta: 1 day, 13:06:05 batch_cost: 2.5074 data_cost: 0.0012 ips: 22.3341 images/s [10/16 20:12:49] ppdet.engine INFO: Epoch: [190] [460/523] learning_rate: 0.116973 loss_vfl: 0.802776 loss_bbox: 0.280100 loss_dfl: 0.187810 loss: 1.290466 eta: 1 day, 13:05:20 batch_cost: 2.5589 data_cost: 0.0030 ips: 21.8840 images/s [10/16 20:13:37] ppdet.engine INFO: Epoch: [190] [480/523] learning_rate: 0.116900 loss_vfl: 0.824712 loss_bbox: 0.285797 loss_dfl: 0.190932 loss: 1.294053 eta: 1 day, 13:04:33 batch_cost: 2.3082 data_cost: 0.0013 ips: 24.2611 images/s [10/16 20:14:28] ppdet.engine INFO: Epoch: [190] [500/523] learning_rate: 0.116828 loss_vfl: 0.817950 loss_bbox: 0.279744 loss_dfl: 0.185744 loss: 1.283265 eta: 1 day, 13:03:47 batch_cost: 2.3946 data_cost: 0.0013 ips: 23.3858 images/s [10/16 20:15:12] ppdet.engine INFO: Epoch: [190] [520/523] learning_rate: 0.116755 loss_vfl: 0.824458 loss_bbox: 0.278368 loss_dfl: 0.184298 loss: 1.280005 eta: 1 day, 13:02:57 batch_cost: 2.0956 data_cost: 0.0013 ips: 26.7226 images/s [10/16 20:15:43] ppdet.engine INFO: Epoch: [191] [ 0/523] learning_rate: 0.116744 loss_vfl: 0.822466 loss_bbox: 0.265409 loss_dfl: 0.180575 loss: 1.267808 eta: 1 day, 13:03:02 batch_cost: 3.1354 data_cost: 0.5362 ips: 17.8603 images/s [10/16 20:16:37] ppdet.engine INFO: Epoch: [191] [ 20/523] learning_rate: 0.116671 loss_vfl: 0.796515 loss_bbox: 0.271642 loss_dfl: 0.182036 loss: 1.259281 eta: 1 day, 13:02:18 batch_cost: 2.5835 data_cost: 0.0021 ips: 21.6762 images/s [10/16 20:17:27] ppdet.engine INFO: Epoch: [191] [ 40/523] learning_rate: 0.116598 loss_vfl: 0.813732 loss_bbox: 0.278300 loss_dfl: 0.183498 loss: 1.266278 eta: 1 day, 13:01:32 batch_cost: 2.3481 data_cost: 0.0030 ips: 23.8494 images/s [10/16 20:18:15] ppdet.engine INFO: Epoch: [191] [ 60/523] learning_rate: 0.116525 loss_vfl: 0.811047 loss_bbox: 0.271688 loss_dfl: 0.183956 loss: 1.286582 eta: 1 day, 13:00:45 batch_cost: 2.3181 data_cost: 0.0012 ips: 24.1579 images/s [10/16 20:19:05] ppdet.engine INFO: Epoch: [191] [ 80/523] learning_rate: 0.116453 loss_vfl: 0.810292 loss_bbox: 0.281769 loss_dfl: 0.178774 loss: 1.284256 eta: 1 day, 12:59:58 batch_cost: 2.3972 data_cost: 0.0019 ips: 23.3608 images/s [10/16 20:19:55] ppdet.engine INFO: Epoch: [191] [100/523] learning_rate: 0.116380 loss_vfl: 0.817696 loss_bbox: 0.286632 loss_dfl: 0.193085 loss: 1.277551 eta: 1 day, 12:59:12 batch_cost: 2.3803 data_cost: 0.0012 ips: 23.5260 images/s [10/16 20:20:46] ppdet.engine INFO: Epoch: [191] [120/523] learning_rate: 0.116307 loss_vfl: 0.810810 loss_bbox: 0.298140 loss_dfl: 0.195494 loss: 1.315298 eta: 1 day, 12:58:26 batch_cost: 2.4344 data_cost: 0.0013 ips: 23.0040 images/s [10/16 20:21:36] ppdet.engine INFO: Epoch: [191] [140/523] learning_rate: 0.116234 loss_vfl: 0.805866 loss_bbox: 0.257254 loss_dfl: 0.178452 loss: 1.260367 eta: 1 day, 12:57:40 batch_cost: 2.3901 data_cost: 0.0013 ips: 23.4303 images/s [10/16 20:22:26] ppdet.engine INFO: Epoch: [191] [160/523] learning_rate: 0.116162 loss_vfl: 0.811801 loss_bbox: 0.273188 loss_dfl: 0.187387 loss: 1.268620 eta: 1 day, 12:56:54 batch_cost: 2.3968 data_cost: 0.0013 ips: 23.3641 images/s [10/16 20:23:15] ppdet.engine INFO: Epoch: [191] [180/523] learning_rate: 0.116089 loss_vfl: 0.817152 loss_bbox: 0.268087 loss_dfl: 0.182647 loss: 1.261512 eta: 1 day, 12:56:07 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6489 images/s [10/16 20:24:04] ppdet.engine INFO: Epoch: [191] [200/523] learning_rate: 0.116016 loss_vfl: 0.798607 loss_bbox: 0.287511 loss_dfl: 0.191048 loss: 1.257660 eta: 1 day, 12:55:20 batch_cost: 2.3207 data_cost: 0.0012 ips: 24.1311 images/s [10/16 20:24:52] ppdet.engine INFO: Epoch: [191] [220/523] learning_rate: 0.115944 loss_vfl: 0.812925 loss_bbox: 0.281732 loss_dfl: 0.188560 loss: 1.289265 eta: 1 day, 12:54:33 batch_cost: 2.3112 data_cost: 0.0013 ips: 24.2299 images/s [10/16 20:25:42] ppdet.engine INFO: Epoch: [191] [240/523] learning_rate: 0.115871 loss_vfl: 0.809264 loss_bbox: 0.265879 loss_dfl: 0.184473 loss: 1.284164 eta: 1 day, 12:53:47 batch_cost: 2.3699 data_cost: 0.0013 ips: 23.6296 images/s [10/16 20:26:31] ppdet.engine INFO: Epoch: [191] [260/523] learning_rate: 0.115798 loss_vfl: 0.799775 loss_bbox: 0.255177 loss_dfl: 0.181700 loss: 1.260334 eta: 1 day, 12:53:00 batch_cost: 2.3703 data_cost: 0.0013 ips: 23.6254 images/s [10/16 20:27:21] ppdet.engine INFO: Epoch: [191] [280/523] learning_rate: 0.115726 loss_vfl: 0.803297 loss_bbox: 0.282981 loss_dfl: 0.183675 loss: 1.258118 eta: 1 day, 12:52:14 batch_cost: 2.3897 data_cost: 0.0012 ips: 23.4340 images/s [10/16 20:28:11] ppdet.engine INFO: Epoch: [191] [300/523] learning_rate: 0.115653 loss_vfl: 0.807692 loss_bbox: 0.272117 loss_dfl: 0.184866 loss: 1.257423 eta: 1 day, 12:51:28 batch_cost: 2.3838 data_cost: 0.0016 ips: 23.4918 images/s [10/16 20:29:01] ppdet.engine INFO: Epoch: [191] [320/523] learning_rate: 0.115580 loss_vfl: 0.801561 loss_bbox: 0.286326 loss_dfl: 0.195144 loss: 1.271974 eta: 1 day, 12:50:42 batch_cost: 2.3897 data_cost: 0.0026 ips: 23.4336 images/s [10/16 20:29:50] ppdet.engine INFO: Epoch: [191] [340/523] learning_rate: 0.115508 loss_vfl: 0.829324 loss_bbox: 0.283266 loss_dfl: 0.183637 loss: 1.299950 eta: 1 day, 12:49:55 batch_cost: 2.3257 data_cost: 0.0013 ips: 24.0785 images/s [10/16 20:30:39] ppdet.engine INFO: Epoch: [191] [360/523] learning_rate: 0.115435 loss_vfl: 0.802479 loss_bbox: 0.290314 loss_dfl: 0.186732 loss: 1.280320 eta: 1 day, 12:49:08 batch_cost: 2.3646 data_cost: 0.0032 ips: 23.6823 images/s [10/16 20:31:28] ppdet.engine INFO: Epoch: [191] [380/523] learning_rate: 0.115363 loss_vfl: 0.833551 loss_bbox: 0.292361 loss_dfl: 0.195806 loss: 1.319253 eta: 1 day, 12:48:21 batch_cost: 2.3364 data_cost: 0.0013 ips: 23.9686 images/s [10/16 20:32:17] ppdet.engine INFO: Epoch: [191] [400/523] learning_rate: 0.115290 loss_vfl: 0.816679 loss_bbox: 0.270161 loss_dfl: 0.183289 loss: 1.293794 eta: 1 day, 12:47:35 batch_cost: 2.3379 data_cost: 0.0013 ips: 23.9536 images/s [10/16 20:33:08] ppdet.engine INFO: Epoch: [191] [420/523] learning_rate: 0.115218 loss_vfl: 0.807456 loss_bbox: 0.260026 loss_dfl: 0.178286 loss: 1.249085 eta: 1 day, 12:46:49 batch_cost: 2.4404 data_cost: 0.0013 ips: 22.9466 images/s [10/16 20:33:58] ppdet.engine INFO: Epoch: [191] [440/523] learning_rate: 0.115145 loss_vfl: 0.805567 loss_bbox: 0.277402 loss_dfl: 0.185254 loss: 1.277576 eta: 1 day, 12:46:02 batch_cost: 2.3723 data_cost: 0.0012 ips: 23.6060 images/s [10/16 20:34:47] ppdet.engine INFO: Epoch: [191] [460/523] learning_rate: 0.115072 loss_vfl: 0.809080 loss_bbox: 0.278993 loss_dfl: 0.185666 loss: 1.283392 eta: 1 day, 12:45:16 batch_cost: 2.3582 data_cost: 0.0013 ips: 23.7473 images/s [10/16 20:35:37] ppdet.engine INFO: Epoch: [191] [480/523] learning_rate: 0.115000 loss_vfl: 0.815803 loss_bbox: 0.293260 loss_dfl: 0.192424 loss: 1.287161 eta: 1 day, 12:44:29 batch_cost: 2.3751 data_cost: 0.0012 ips: 23.5777 images/s [10/16 20:36:26] ppdet.engine INFO: Epoch: [191] [500/523] learning_rate: 0.114927 loss_vfl: 0.821694 loss_bbox: 0.247826 loss_dfl: 0.176828 loss: 1.272869 eta: 1 day, 12:43:43 batch_cost: 2.3438 data_cost: 0.0018 ips: 23.8927 images/s [10/16 20:37:10] ppdet.engine INFO: Epoch: [191] [520/523] learning_rate: 0.114855 loss_vfl: 0.810953 loss_bbox: 0.277741 loss_dfl: 0.180857 loss: 1.270122 eta: 1 day, 12:42:53 batch_cost: 2.0763 data_cost: 0.0013 ips: 26.9714 images/s [10/16 20:37:42] ppdet.engine INFO: Epoch: [192] [ 0/523] learning_rate: 0.114844 loss_vfl: 0.806176 loss_bbox: 0.281110 loss_dfl: 0.183711 loss: 1.273419 eta: 1 day, 12:42:58 batch_cost: 3.1628 data_cost: 0.7550 ips: 17.7059 images/s [10/16 20:38:36] ppdet.engine INFO: Epoch: [192] [ 20/523] learning_rate: 0.114772 loss_vfl: 0.799547 loss_bbox: 0.286913 loss_dfl: 0.185724 loss: 1.269605 eta: 1 day, 12:42:13 batch_cost: 2.5031 data_cost: 0.0015 ips: 22.3726 images/s [10/16 20:39:27] ppdet.engine INFO: Epoch: [192] [ 40/523] learning_rate: 0.114699 loss_vfl: 0.823196 loss_bbox: 0.300682 loss_dfl: 0.195704 loss: 1.310173 eta: 1 day, 12:41:27 batch_cost: 2.4138 data_cost: 0.0019 ips: 23.1995 images/s [10/16 20:40:18] ppdet.engine INFO: Epoch: [192] [ 60/523] learning_rate: 0.114627 loss_vfl: 0.804211 loss_bbox: 0.283226 loss_dfl: 0.181488 loss: 1.273096 eta: 1 day, 12:40:41 batch_cost: 2.4336 data_cost: 0.0025 ips: 23.0116 images/s [10/16 20:41:07] ppdet.engine INFO: Epoch: [192] [ 80/523] learning_rate: 0.114554 loss_vfl: 0.814542 loss_bbox: 0.255349 loss_dfl: 0.177415 loss: 1.246914 eta: 1 day, 12:39:55 batch_cost: 2.3614 data_cost: 0.0012 ips: 23.7152 images/s [10/16 20:41:56] ppdet.engine INFO: Epoch: [192] [100/523] learning_rate: 0.114482 loss_vfl: 0.815031 loss_bbox: 0.292157 loss_dfl: 0.192411 loss: 1.294682 eta: 1 day, 12:39:08 batch_cost: 2.3684 data_cost: 0.0026 ips: 23.6449 images/s [10/16 20:42:46] ppdet.engine INFO: Epoch: [192] [120/523] learning_rate: 0.114410 loss_vfl: 0.804129 loss_bbox: 0.271239 loss_dfl: 0.185017 loss: 1.277531 eta: 1 day, 12:38:22 batch_cost: 2.3596 data_cost: 0.0012 ips: 23.7324 images/s [10/16 20:43:35] ppdet.engine INFO: Epoch: [192] [140/523] learning_rate: 0.114337 loss_vfl: 0.815561 loss_bbox: 0.269425 loss_dfl: 0.180378 loss: 1.254518 eta: 1 day, 12:37:35 batch_cost: 2.3630 data_cost: 0.0012 ips: 23.6984 images/s [10/16 20:44:26] ppdet.engine INFO: Epoch: [192] [160/523] learning_rate: 0.114265 loss_vfl: 0.803812 loss_bbox: 0.284705 loss_dfl: 0.191276 loss: 1.291005 eta: 1 day, 12:36:49 batch_cost: 2.4494 data_cost: 0.0012 ips: 22.8632 images/s [10/16 20:45:15] ppdet.engine INFO: Epoch: [192] [180/523] learning_rate: 0.114192 loss_vfl: 0.816775 loss_bbox: 0.275412 loss_dfl: 0.178769 loss: 1.270185 eta: 1 day, 12:36:02 batch_cost: 2.3139 data_cost: 0.0012 ips: 24.2017 images/s [10/16 20:46:05] ppdet.engine INFO: Epoch: [192] [200/523] learning_rate: 0.114120 loss_vfl: 0.805654 loss_bbox: 0.263497 loss_dfl: 0.176423 loss: 1.247760 eta: 1 day, 12:35:16 batch_cost: 2.3910 data_cost: 0.0019 ips: 23.4209 images/s [10/16 20:46:54] ppdet.engine INFO: Epoch: [192] [220/523] learning_rate: 0.114048 loss_vfl: 0.814131 loss_bbox: 0.271676 loss_dfl: 0.179021 loss: 1.262854 eta: 1 day, 12:34:30 batch_cost: 2.3693 data_cost: 0.0020 ips: 23.6356 images/s [10/16 20:47:45] ppdet.engine INFO: Epoch: [192] [240/523] learning_rate: 0.113975 loss_vfl: 0.808972 loss_bbox: 0.267660 loss_dfl: 0.178886 loss: 1.247763 eta: 1 day, 12:33:44 batch_cost: 2.4281 data_cost: 0.0051 ips: 23.0632 images/s [10/16 20:48:36] ppdet.engine INFO: Epoch: [192] [260/523] learning_rate: 0.113903 loss_vfl: 0.805684 loss_bbox: 0.277296 loss_dfl: 0.185391 loss: 1.258063 eta: 1 day, 12:32:58 batch_cost: 2.4152 data_cost: 0.0034 ips: 23.1863 images/s [10/16 20:49:24] ppdet.engine INFO: Epoch: [192] [280/523] learning_rate: 0.113831 loss_vfl: 0.804714 loss_bbox: 0.274585 loss_dfl: 0.187239 loss: 1.247686 eta: 1 day, 12:32:11 batch_cost: 2.3165 data_cost: 0.0028 ips: 24.1746 images/s [10/16 20:50:12] ppdet.engine INFO: Epoch: [192] [300/523] learning_rate: 0.113759 loss_vfl: 0.808986 loss_bbox: 0.288418 loss_dfl: 0.192975 loss: 1.290300 eta: 1 day, 12:31:23 batch_cost: 2.2876 data_cost: 0.0013 ips: 24.4803 images/s [10/16 20:51:01] ppdet.engine INFO: Epoch: [192] [320/523] learning_rate: 0.113686 loss_vfl: 0.807565 loss_bbox: 0.296498 loss_dfl: 0.188297 loss: 1.291788 eta: 1 day, 12:30:37 batch_cost: 2.3455 data_cost: 0.0030 ips: 23.8758 images/s [10/16 20:51:51] ppdet.engine INFO: Epoch: [192] [340/523] learning_rate: 0.113614 loss_vfl: 0.808025 loss_bbox: 0.271407 loss_dfl: 0.182044 loss: 1.286469 eta: 1 day, 12:29:50 batch_cost: 2.3713 data_cost: 0.0028 ips: 23.6156 images/s [10/16 20:52:41] ppdet.engine INFO: Epoch: [192] [360/523] learning_rate: 0.113542 loss_vfl: 0.812224 loss_bbox: 0.272621 loss_dfl: 0.183784 loss: 1.272742 eta: 1 day, 12:29:04 batch_cost: 2.3964 data_cost: 0.0023 ips: 23.3681 images/s [10/16 20:53:31] ppdet.engine INFO: Epoch: [192] [380/523] learning_rate: 0.113470 loss_vfl: 0.811137 loss_bbox: 0.284993 loss_dfl: 0.191234 loss: 1.297023 eta: 1 day, 12:28:18 batch_cost: 2.3989 data_cost: 0.0032 ips: 23.3436 images/s [10/16 20:54:21] ppdet.engine INFO: Epoch: [192] [400/523] learning_rate: 0.113398 loss_vfl: 0.808072 loss_bbox: 0.286831 loss_dfl: 0.186988 loss: 1.279841 eta: 1 day, 12:27:32 batch_cost: 2.4111 data_cost: 0.0012 ips: 23.2258 images/s [10/16 20:55:10] ppdet.engine INFO: Epoch: [192] [420/523] learning_rate: 0.113325 loss_vfl: 0.836580 loss_bbox: 0.275983 loss_dfl: 0.181626 loss: 1.298766 eta: 1 day, 12:26:45 batch_cost: 2.3297 data_cost: 0.0019 ips: 24.0373 images/s [10/16 20:55:59] ppdet.engine INFO: Epoch: [192] [440/523] learning_rate: 0.113253 loss_vfl: 0.812348 loss_bbox: 0.281341 loss_dfl: 0.191310 loss: 1.278612 eta: 1 day, 12:25:58 batch_cost: 2.3577 data_cost: 0.0019 ips: 23.7523 images/s [10/16 20:56:49] ppdet.engine INFO: Epoch: [192] [460/523] learning_rate: 0.113181 loss_vfl: 0.802298 loss_bbox: 0.280953 loss_dfl: 0.183123 loss: 1.270694 eta: 1 day, 12:25:12 batch_cost: 2.3727 data_cost: 0.0012 ips: 23.6016 images/s [10/16 20:57:38] ppdet.engine INFO: Epoch: [192] [480/523] learning_rate: 0.113109 loss_vfl: 0.801317 loss_bbox: 0.281722 loss_dfl: 0.192888 loss: 1.295251 eta: 1 day, 12:24:25 batch_cost: 2.3486 data_cost: 0.0014 ips: 23.8441 images/s [10/16 20:58:28] ppdet.engine INFO: Epoch: [192] [500/523] learning_rate: 0.113037 loss_vfl: 0.818985 loss_bbox: 0.270858 loss_dfl: 0.179357 loss: 1.264281 eta: 1 day, 12:23:39 batch_cost: 2.3940 data_cost: 0.0013 ips: 23.3922 images/s [10/16 20:59:11] ppdet.engine INFO: Epoch: [192] [520/523] learning_rate: 0.112965 loss_vfl: 0.813677 loss_bbox: 0.282306 loss_dfl: 0.187440 loss: 1.280104 eta: 1 day, 12:22:49 batch_cost: 2.0285 data_cost: 0.0012 ips: 27.6062 images/s [10/16 20:59:41] ppdet.engine INFO: Epoch: [193] [ 0/523] learning_rate: 0.112954 loss_vfl: 0.816683 loss_bbox: 0.282306 loss_dfl: 0.184017 loss: 1.280104 eta: 1 day, 12:22:52 batch_cost: 2.9825 data_cost: 0.6982 ips: 18.7764 images/s [10/16 21:00:35] ppdet.engine INFO: Epoch: [193] [ 20/523] learning_rate: 0.112882 loss_vfl: 0.814669 loss_bbox: 0.268591 loss_dfl: 0.179212 loss: 1.259747 eta: 1 day, 12:22:08 batch_cost: 2.6004 data_cost: 0.0016 ips: 21.5350 images/s [10/16 21:01:25] ppdet.engine INFO: Epoch: [193] [ 40/523] learning_rate: 0.112810 loss_vfl: 0.796919 loss_bbox: 0.272510 loss_dfl: 0.182766 loss: 1.250018 eta: 1 day, 12:21:22 batch_cost: 2.3751 data_cost: 0.0019 ips: 23.5783 images/s [10/16 21:02:14] ppdet.engine INFO: Epoch: [193] [ 60/523] learning_rate: 0.112738 loss_vfl: 0.812846 loss_bbox: 0.290977 loss_dfl: 0.189938 loss: 1.290145 eta: 1 day, 12:20:35 batch_cost: 2.3285 data_cost: 0.0012 ips: 24.0496 images/s [10/16 21:03:02] ppdet.engine INFO: Epoch: [193] [ 80/523] learning_rate: 0.112665 loss_vfl: 0.801628 loss_bbox: 0.274945 loss_dfl: 0.185123 loss: 1.245060 eta: 1 day, 12:19:48 batch_cost: 2.2999 data_cost: 0.0023 ips: 24.3486 images/s [10/16 21:03:51] ppdet.engine INFO: Epoch: [193] [100/523] learning_rate: 0.112593 loss_vfl: 0.805056 loss_bbox: 0.283894 loss_dfl: 0.191242 loss: 1.283010 eta: 1 day, 12:19:01 batch_cost: 2.3470 data_cost: 0.0012 ips: 23.8607 images/s [10/16 21:04:42] ppdet.engine INFO: Epoch: [193] [120/523] learning_rate: 0.112521 loss_vfl: 0.799333 loss_bbox: 0.266434 loss_dfl: 0.183049 loss: 1.276144 eta: 1 day, 12:18:15 batch_cost: 2.4135 data_cost: 0.0012 ips: 23.2031 images/s [10/16 21:05:32] ppdet.engine INFO: Epoch: [193] [140/523] learning_rate: 0.112449 loss_vfl: 0.817867 loss_bbox: 0.283828 loss_dfl: 0.188578 loss: 1.266830 eta: 1 day, 12:17:29 batch_cost: 2.3837 data_cost: 0.0012 ips: 23.4932 images/s [10/16 21:06:21] ppdet.engine INFO: Epoch: [193] [160/523] learning_rate: 0.112377 loss_vfl: 0.815240 loss_bbox: 0.287273 loss_dfl: 0.185835 loss: 1.299815 eta: 1 day, 12:16:42 batch_cost: 2.3754 data_cost: 0.0015 ips: 23.5747 images/s [10/16 21:07:12] ppdet.engine INFO: Epoch: [193] [180/523] learning_rate: 0.112305 loss_vfl: 0.802592 loss_bbox: 0.291539 loss_dfl: 0.189314 loss: 1.284653 eta: 1 day, 12:15:56 batch_cost: 2.4254 data_cost: 0.0049 ips: 23.0888 images/s [10/16 21:08:01] ppdet.engine INFO: Epoch: [193] [200/523] learning_rate: 0.112233 loss_vfl: 0.832579 loss_bbox: 0.278568 loss_dfl: 0.188593 loss: 1.291193 eta: 1 day, 12:15:09 batch_cost: 2.3175 data_cost: 0.0014 ips: 24.1644 images/s [10/16 21:08:49] ppdet.engine INFO: Epoch: [193] [220/523] learning_rate: 0.112161 loss_vfl: 0.797504 loss_bbox: 0.281058 loss_dfl: 0.180195 loss: 1.265992 eta: 1 day, 12:14:22 batch_cost: 2.3068 data_cost: 0.0013 ips: 24.2763 images/s [10/16 21:09:38] ppdet.engine INFO: Epoch: [193] [240/523] learning_rate: 0.112089 loss_vfl: 0.808070 loss_bbox: 0.290107 loss_dfl: 0.189920 loss: 1.269092 eta: 1 day, 12:13:35 batch_cost: 2.3375 data_cost: 0.0012 ips: 23.9570 images/s [10/16 21:10:26] ppdet.engine INFO: Epoch: [193] [260/523] learning_rate: 0.112018 loss_vfl: 0.805801 loss_bbox: 0.273733 loss_dfl: 0.183280 loss: 1.258136 eta: 1 day, 12:12:48 batch_cost: 2.3303 data_cost: 0.0013 ips: 24.0309 images/s [10/16 21:11:16] ppdet.engine INFO: Epoch: [193] [280/523] learning_rate: 0.111946 loss_vfl: 0.816167 loss_bbox: 0.276355 loss_dfl: 0.181975 loss: 1.277138 eta: 1 day, 12:12:02 batch_cost: 2.3593 data_cost: 0.0012 ips: 23.7358 images/s [10/16 21:12:05] ppdet.engine INFO: Epoch: [193] [300/523] learning_rate: 0.111874 loss_vfl: 0.798524 loss_bbox: 0.288477 loss_dfl: 0.192715 loss: 1.278780 eta: 1 day, 12:11:15 batch_cost: 2.3424 data_cost: 0.0013 ips: 23.9075 images/s [10/16 21:12:54] ppdet.engine INFO: Epoch: [193] [320/523] learning_rate: 0.111802 loss_vfl: 0.803686 loss_bbox: 0.270706 loss_dfl: 0.187859 loss: 1.268283 eta: 1 day, 12:10:28 batch_cost: 2.3404 data_cost: 0.0024 ips: 23.9278 images/s [10/16 21:13:42] ppdet.engine INFO: Epoch: [193] [340/523] learning_rate: 0.111730 loss_vfl: 0.788002 loss_bbox: 0.277865 loss_dfl: 0.191033 loss: 1.270217 eta: 1 day, 12:09:41 batch_cost: 2.3423 data_cost: 0.0013 ips: 23.9081 images/s [10/16 21:14:31] ppdet.engine INFO: Epoch: [193] [360/523] learning_rate: 0.111658 loss_vfl: 0.812295 loss_bbox: 0.280520 loss_dfl: 0.183694 loss: 1.290874 eta: 1 day, 12:08:54 batch_cost: 2.3290 data_cost: 0.0013 ips: 24.0444 images/s [10/16 21:15:21] ppdet.engine INFO: Epoch: [193] [380/523] learning_rate: 0.111586 loss_vfl: 0.819737 loss_bbox: 0.268710 loss_dfl: 0.186365 loss: 1.258727 eta: 1 day, 12:08:08 batch_cost: 2.4067 data_cost: 0.0028 ips: 23.2680 images/s [10/16 21:16:11] ppdet.engine INFO: Epoch: [193] [400/523] learning_rate: 0.111514 loss_vfl: 0.820660 loss_bbox: 0.256269 loss_dfl: 0.173927 loss: 1.258534 eta: 1 day, 12:07:22 batch_cost: 2.3823 data_cost: 0.0025 ips: 23.5063 images/s [10/16 21:17:01] ppdet.engine INFO: Epoch: [193] [420/523] learning_rate: 0.111443 loss_vfl: 0.806809 loss_bbox: 0.290214 loss_dfl: 0.186226 loss: 1.276428 eta: 1 day, 12:06:36 batch_cost: 2.3835 data_cost: 0.0012 ips: 23.4953 images/s [10/16 21:17:52] ppdet.engine INFO: Epoch: [193] [440/523] learning_rate: 0.111371 loss_vfl: 0.823203 loss_bbox: 0.268902 loss_dfl: 0.177350 loss: 1.260325 eta: 1 day, 12:05:50 batch_cost: 2.4240 data_cost: 0.0013 ips: 23.1022 images/s [10/16 21:18:41] ppdet.engine INFO: Epoch: [193] [460/523] learning_rate: 0.111299 loss_vfl: 0.806699 loss_bbox: 0.288549 loss_dfl: 0.190976 loss: 1.289748 eta: 1 day, 12:05:03 batch_cost: 2.3395 data_cost: 0.0018 ips: 23.9368 images/s [10/16 21:19:29] ppdet.engine INFO: Epoch: [193] [480/523] learning_rate: 0.111227 loss_vfl: 0.819818 loss_bbox: 0.275091 loss_dfl: 0.186377 loss: 1.279921 eta: 1 day, 12:04:16 batch_cost: 2.3041 data_cost: 0.0014 ips: 24.3050 images/s [10/16 21:20:20] ppdet.engine INFO: Epoch: [193] [500/523] learning_rate: 0.111155 loss_vfl: 0.807055 loss_bbox: 0.288952 loss_dfl: 0.185691 loss: 1.270576 eta: 1 day, 12:03:30 batch_cost: 2.4138 data_cost: 0.0013 ips: 23.1996 images/s [10/16 21:21:04] ppdet.engine INFO: Epoch: [193] [520/523] learning_rate: 0.111084 loss_vfl: 0.812683 loss_bbox: 0.285338 loss_dfl: 0.189226 loss: 1.306343 eta: 1 day, 12:02:40 batch_cost: 2.0907 data_cost: 0.0012 ips: 26.7847 images/s [10/16 21:21:35] ppdet.engine INFO: Epoch: [194] [ 0/523] learning_rate: 0.111073 loss_vfl: 0.805406 loss_bbox: 0.285338 loss_dfl: 0.189226 loss: 1.293584 eta: 1 day, 12:02:44 batch_cost: 3.0760 data_cost: 0.7672 ips: 18.2056 images/s [10/16 21:22:26] ppdet.engine INFO: Epoch: [194] [ 20/523] learning_rate: 0.111001 loss_vfl: 0.805545 loss_bbox: 0.277891 loss_dfl: 0.183527 loss: 1.274026 eta: 1 day, 12:01:58 batch_cost: 2.4049 data_cost: 0.0013 ips: 23.2856 images/s [10/16 21:23:18] ppdet.engine INFO: Epoch: [194] [ 40/523] learning_rate: 0.110930 loss_vfl: 0.794322 loss_bbox: 0.269684 loss_dfl: 0.178643 loss: 1.262186 eta: 1 day, 12:01:13 batch_cost: 2.4800 data_cost: 0.0031 ips: 22.5810 images/s [10/16 21:24:12] ppdet.engine INFO: Epoch: [194] [ 60/523] learning_rate: 0.110858 loss_vfl: 0.808728 loss_bbox: 0.261546 loss_dfl: 0.180492 loss: 1.261900 eta: 1 day, 12:00:28 batch_cost: 2.5871 data_cost: 0.0032 ips: 21.6460 images/s [10/16 21:25:01] ppdet.engine INFO: Epoch: [194] [ 80/523] learning_rate: 0.110786 loss_vfl: 0.815704 loss_bbox: 0.299551 loss_dfl: 0.195035 loss: 1.310563 eta: 1 day, 11:59:42 batch_cost: 2.3574 data_cost: 0.0020 ips: 23.7550 images/s [10/16 21:25:49] ppdet.engine INFO: Epoch: [194] [100/523] learning_rate: 0.110714 loss_vfl: 0.799011 loss_bbox: 0.273978 loss_dfl: 0.181623 loss: 1.243305 eta: 1 day, 11:58:54 batch_cost: 2.2741 data_cost: 0.0013 ips: 24.6256 images/s [10/16 21:26:37] ppdet.engine INFO: Epoch: [194] [120/523] learning_rate: 0.110643 loss_vfl: 0.807326 loss_bbox: 0.288587 loss_dfl: 0.190403 loss: 1.279628 eta: 1 day, 11:58:07 batch_cost: 2.2991 data_cost: 0.0020 ips: 24.3569 images/s [10/16 21:27:26] ppdet.engine INFO: Epoch: [194] [140/523] learning_rate: 0.110571 loss_vfl: 0.812957 loss_bbox: 0.268688 loss_dfl: 0.181907 loss: 1.270097 eta: 1 day, 11:57:20 batch_cost: 2.3431 data_cost: 0.0020 ips: 23.8998 images/s [10/16 21:28:15] ppdet.engine INFO: Epoch: [194] [160/523] learning_rate: 0.110500 loss_vfl: 0.797716 loss_bbox: 0.279728 loss_dfl: 0.181612 loss: 1.269943 eta: 1 day, 11:56:33 batch_cost: 2.3486 data_cost: 0.0014 ips: 23.8439 images/s [10/16 21:29:04] ppdet.engine INFO: Epoch: [194] [180/523] learning_rate: 0.110428 loss_vfl: 0.793319 loss_bbox: 0.288415 loss_dfl: 0.193303 loss: 1.272206 eta: 1 day, 11:55:47 batch_cost: 2.3454 data_cost: 0.0012 ips: 23.8762 images/s [10/16 21:29:55] ppdet.engine INFO: Epoch: [194] [200/523] learning_rate: 0.110356 loss_vfl: 0.786909 loss_bbox: 0.285721 loss_dfl: 0.186190 loss: 1.251273 eta: 1 day, 11:55:01 batch_cost: 2.4275 data_cost: 0.0012 ips: 23.0690 images/s [10/16 21:30:43] ppdet.engine INFO: Epoch: [194] [220/523] learning_rate: 0.110285 loss_vfl: 0.793992 loss_bbox: 0.293987 loss_dfl: 0.192800 loss: 1.260732 eta: 1 day, 11:54:13 batch_cost: 2.2822 data_cost: 0.0013 ips: 24.5377 images/s [10/16 21:31:32] ppdet.engine INFO: Epoch: [194] [240/523] learning_rate: 0.110213 loss_vfl: 0.812356 loss_bbox: 0.288717 loss_dfl: 0.186815 loss: 1.293982 eta: 1 day, 11:53:27 batch_cost: 2.3636 data_cost: 0.0020 ips: 23.6924 images/s [10/16 21:32:21] ppdet.engine INFO: Epoch: [194] [260/523] learning_rate: 0.110142 loss_vfl: 0.805949 loss_bbox: 0.282217 loss_dfl: 0.188733 loss: 1.282347 eta: 1 day, 11:52:40 batch_cost: 2.3383 data_cost: 0.0013 ips: 23.9493 images/s [10/16 21:33:09] ppdet.engine INFO: Epoch: [194] [280/523] learning_rate: 0.110070 loss_vfl: 0.792622 loss_bbox: 0.288528 loss_dfl: 0.191798 loss: 1.260729 eta: 1 day, 11:51:53 batch_cost: 2.2785 data_cost: 0.0019 ips: 24.5772 images/s [10/16 21:33:59] ppdet.engine INFO: Epoch: [194] [300/523] learning_rate: 0.109998 loss_vfl: 0.825193 loss_bbox: 0.273589 loss_dfl: 0.186226 loss: 1.281682 eta: 1 day, 11:51:06 batch_cost: 2.3882 data_cost: 0.0023 ips: 23.4487 images/s [10/16 21:34:49] ppdet.engine INFO: Epoch: [194] [320/523] learning_rate: 0.109927 loss_vfl: 0.784835 loss_bbox: 0.278730 loss_dfl: 0.181182 loss: 1.251312 eta: 1 day, 11:50:20 batch_cost: 2.3950 data_cost: 0.0035 ips: 23.3821 images/s [10/16 21:35:38] ppdet.engine INFO: Epoch: [194] [340/523] learning_rate: 0.109855 loss_vfl: 0.810559 loss_bbox: 0.308639 loss_dfl: 0.192696 loss: 1.301260 eta: 1 day, 11:49:33 batch_cost: 2.2975 data_cost: 0.0012 ips: 24.3739 images/s [10/16 21:36:27] ppdet.engine INFO: Epoch: [194] [360/523] learning_rate: 0.109784 loss_vfl: 0.784059 loss_bbox: 0.264470 loss_dfl: 0.178830 loss: 1.251101 eta: 1 day, 11:48:46 batch_cost: 2.3693 data_cost: 0.0022 ips: 23.6361 images/s [10/16 21:37:17] ppdet.engine INFO: Epoch: [194] [380/523] learning_rate: 0.109713 loss_vfl: 0.795689 loss_bbox: 0.292896 loss_dfl: 0.199148 loss: 1.271916 eta: 1 day, 11:48:00 batch_cost: 2.3667 data_cost: 0.0016 ips: 23.6613 images/s [10/16 21:38:07] ppdet.engine INFO: Epoch: [194] [400/523] learning_rate: 0.109641 loss_vfl: 0.804859 loss_bbox: 0.273698 loss_dfl: 0.178481 loss: 1.255917 eta: 1 day, 11:47:14 batch_cost: 2.4053 data_cost: 0.0021 ips: 23.2818 images/s [10/16 21:38:55] ppdet.engine INFO: Epoch: [194] [420/523] learning_rate: 0.109570 loss_vfl: 0.807789 loss_bbox: 0.290809 loss_dfl: 0.186977 loss: 1.290052 eta: 1 day, 11:46:26 batch_cost: 2.2734 data_cost: 0.0014 ips: 24.6322 images/s [10/16 21:39:43] ppdet.engine INFO: Epoch: [194] [440/523] learning_rate: 0.109498 loss_vfl: 0.817233 loss_bbox: 0.284743 loss_dfl: 0.185788 loss: 1.296017 eta: 1 day, 11:45:39 batch_cost: 2.3260 data_cost: 0.0014 ips: 24.0759 images/s [10/16 21:40:33] ppdet.engine INFO: Epoch: [194] [460/523] learning_rate: 0.109427 loss_vfl: 0.801402 loss_bbox: 0.270007 loss_dfl: 0.184491 loss: 1.259229 eta: 1 day, 11:44:53 batch_cost: 2.3745 data_cost: 0.0012 ips: 23.5836 images/s [10/16 21:41:23] ppdet.engine INFO: Epoch: [194] [480/523] learning_rate: 0.109355 loss_vfl: 0.802826 loss_bbox: 0.263546 loss_dfl: 0.178218 loss: 1.241951 eta: 1 day, 11:44:06 batch_cost: 2.3951 data_cost: 0.0012 ips: 23.3810 images/s [10/16 21:42:13] ppdet.engine INFO: Epoch: [194] [500/523] learning_rate: 0.109284 loss_vfl: 0.795770 loss_bbox: 0.285971 loss_dfl: 0.185295 loss: 1.253681 eta: 1 day, 11:43:20 batch_cost: 2.4003 data_cost: 0.0023 ips: 23.3307 images/s [10/16 21:42:58] ppdet.engine INFO: Epoch: [194] [520/523] learning_rate: 0.109213 loss_vfl: 0.802274 loss_bbox: 0.279238 loss_dfl: 0.181450 loss: 1.259165 eta: 1 day, 11:42:31 batch_cost: 2.1114 data_cost: 0.0012 ips: 26.5232 images/s [10/16 21:43:30] ppdet.engine INFO: Epoch: [195] [ 0/523] learning_rate: 0.109202 loss_vfl: 0.798204 loss_bbox: 0.283677 loss_dfl: 0.187785 loss: 1.261414 eta: 1 day, 11:42:35 batch_cost: 3.1639 data_cost: 0.7577 ips: 17.6994 images/s [10/16 21:44:21] ppdet.engine INFO: Epoch: [195] [ 20/523] learning_rate: 0.109131 loss_vfl: 0.790915 loss_bbox: 0.277174 loss_dfl: 0.188724 loss: 1.278412 eta: 1 day, 11:41:50 batch_cost: 2.4508 data_cost: 0.0014 ips: 22.8493 images/s [10/16 21:45:11] ppdet.engine INFO: Epoch: [195] [ 40/523] learning_rate: 0.109059 loss_vfl: 0.813558 loss_bbox: 0.276662 loss_dfl: 0.187718 loss: 1.266002 eta: 1 day, 11:41:03 batch_cost: 2.3642 data_cost: 0.0013 ips: 23.6862 images/s [10/16 21:46:02] ppdet.engine INFO: Epoch: [195] [ 60/523] learning_rate: 0.108988 loss_vfl: 0.804742 loss_bbox: 0.270092 loss_dfl: 0.179788 loss: 1.238210 eta: 1 day, 11:40:17 batch_cost: 2.4392 data_cost: 0.0013 ips: 22.9587 images/s [10/16 21:46:50] ppdet.engine INFO: Epoch: [195] [ 80/523] learning_rate: 0.108917 loss_vfl: 0.812943 loss_bbox: 0.269978 loss_dfl: 0.183203 loss: 1.272834 eta: 1 day, 11:39:30 batch_cost: 2.3304 data_cost: 0.0045 ips: 24.0302 images/s [10/16 21:47:40] ppdet.engine INFO: Epoch: [195] [100/523] learning_rate: 0.108845 loss_vfl: 0.798656 loss_bbox: 0.280388 loss_dfl: 0.188806 loss: 1.262309 eta: 1 day, 11:38:44 batch_cost: 2.3574 data_cost: 0.0026 ips: 23.7553 images/s [10/16 21:48:30] ppdet.engine INFO: Epoch: [195] [120/523] learning_rate: 0.108774 loss_vfl: 0.801327 loss_bbox: 0.301109 loss_dfl: 0.197199 loss: 1.319213 eta: 1 day, 11:37:58 batch_cost: 2.3930 data_cost: 0.0013 ips: 23.4017 images/s [10/16 21:49:19] ppdet.engine INFO: Epoch: [195] [140/523] learning_rate: 0.108703 loss_vfl: 0.802565 loss_bbox: 0.285224 loss_dfl: 0.188154 loss: 1.278496 eta: 1 day, 11:37:11 batch_cost: 2.3480 data_cost: 0.0012 ips: 23.8502 images/s [10/16 21:50:07] ppdet.engine INFO: Epoch: [195] [160/523] learning_rate: 0.108631 loss_vfl: 0.785748 loss_bbox: 0.274814 loss_dfl: 0.183424 loss: 1.253562 eta: 1 day, 11:36:24 batch_cost: 2.3255 data_cost: 0.0012 ips: 24.0805 images/s [10/16 21:50:57] ppdet.engine INFO: Epoch: [195] [180/523] learning_rate: 0.108560 loss_vfl: 0.796872 loss_bbox: 0.271950 loss_dfl: 0.184233 loss: 1.256552 eta: 1 day, 11:35:37 batch_cost: 2.3807 data_cost: 0.0012 ips: 23.5220 images/s [10/16 21:51:47] ppdet.engine INFO: Epoch: [195] [200/523] learning_rate: 0.108489 loss_vfl: 0.807016 loss_bbox: 0.279238 loss_dfl: 0.186127 loss: 1.275250 eta: 1 day, 11:34:51 batch_cost: 2.3874 data_cost: 0.0012 ips: 23.4561 images/s [10/16 21:52:39] ppdet.engine INFO: Epoch: [195] [220/523] learning_rate: 0.108418 loss_vfl: 0.800776 loss_bbox: 0.272256 loss_dfl: 0.181778 loss: 1.257185 eta: 1 day, 11:34:05 batch_cost: 2.4328 data_cost: 0.0012 ips: 23.0186 images/s [10/16 21:53:29] ppdet.engine INFO: Epoch: [195] [240/523] learning_rate: 0.108347 loss_vfl: 0.812717 loss_bbox: 0.289413 loss_dfl: 0.188002 loss: 1.277510 eta: 1 day, 11:33:19 batch_cost: 2.3592 data_cost: 0.0014 ips: 23.7371 images/s [10/16 21:54:17] ppdet.engine INFO: Epoch: [195] [260/523] learning_rate: 0.108275 loss_vfl: 0.788905 loss_bbox: 0.282548 loss_dfl: 0.188910 loss: 1.245623 eta: 1 day, 11:32:32 batch_cost: 2.3186 data_cost: 0.0019 ips: 24.1520 images/s [10/16 21:55:06] ppdet.engine INFO: Epoch: [195] [280/523] learning_rate: 0.108204 loss_vfl: 0.800382 loss_bbox: 0.272529 loss_dfl: 0.189408 loss: 1.286290 eta: 1 day, 11:31:45 batch_cost: 2.3333 data_cost: 0.0013 ips: 24.0005 images/s [10/16 21:55:56] ppdet.engine INFO: Epoch: [195] [300/523] learning_rate: 0.108133 loss_vfl: 0.814790 loss_bbox: 0.269618 loss_dfl: 0.185605 loss: 1.276019 eta: 1 day, 11:30:58 batch_cost: 2.3866 data_cost: 0.0012 ips: 23.4644 images/s [10/16 21:56:45] ppdet.engine INFO: Epoch: [195] [320/523] learning_rate: 0.108062 loss_vfl: 0.801460 loss_bbox: 0.271215 loss_dfl: 0.185628 loss: 1.286248 eta: 1 day, 11:30:11 batch_cost: 2.3226 data_cost: 0.0013 ips: 24.1111 images/s [10/16 21:57:34] ppdet.engine INFO: Epoch: [195] [340/523] learning_rate: 0.107991 loss_vfl: 0.803062 loss_bbox: 0.281495 loss_dfl: 0.191199 loss: 1.279576 eta: 1 day, 11:29:25 batch_cost: 2.3516 data_cost: 0.0012 ips: 23.8139 images/s [10/16 21:58:26] ppdet.engine INFO: Epoch: [195] [360/523] learning_rate: 0.107920 loss_vfl: 0.795721 loss_bbox: 0.279866 loss_dfl: 0.182012 loss: 1.259107 eta: 1 day, 11:28:39 batch_cost: 2.4504 data_cost: 0.0019 ips: 22.8536 images/s [10/16 21:59:17] ppdet.engine INFO: Epoch: [195] [380/523] learning_rate: 0.107849 loss_vfl: 0.813349 loss_bbox: 0.296679 loss_dfl: 0.188642 loss: 1.291134 eta: 1 day, 11:27:53 batch_cost: 2.4686 data_cost: 0.0012 ips: 22.6848 images/s [10/16 22:00:06] ppdet.engine INFO: Epoch: [195] [400/523] learning_rate: 0.107778 loss_vfl: 0.802759 loss_bbox: 0.271244 loss_dfl: 0.188275 loss: 1.271616 eta: 1 day, 11:27:07 batch_cost: 2.3309 data_cost: 0.0013 ips: 24.0251 images/s [10/16 22:00:57] ppdet.engine INFO: Epoch: [195] [420/523] learning_rate: 0.107707 loss_vfl: 0.815206 loss_bbox: 0.265855 loss_dfl: 0.181901 loss: 1.263182 eta: 1 day, 11:26:21 batch_cost: 2.4336 data_cost: 0.0012 ips: 23.0114 images/s [10/16 22:01:48] ppdet.engine INFO: Epoch: [195] [440/523] learning_rate: 0.107635 loss_vfl: 0.804431 loss_bbox: 0.273046 loss_dfl: 0.179924 loss: 1.251014 eta: 1 day, 11:25:35 batch_cost: 2.4753 data_cost: 0.0018 ips: 22.6238 images/s [10/16 22:02:38] ppdet.engine INFO: Epoch: [195] [460/523] learning_rate: 0.107564 loss_vfl: 0.803421 loss_bbox: 0.272175 loss_dfl: 0.181152 loss: 1.253455 eta: 1 day, 11:24:49 batch_cost: 2.3487 data_cost: 0.0012 ips: 23.8429 images/s [10/16 22:03:27] ppdet.engine INFO: Epoch: [195] [480/523] learning_rate: 0.107493 loss_vfl: 0.810895 loss_bbox: 0.288359 loss_dfl: 0.186592 loss: 1.280223 eta: 1 day, 11:24:02 batch_cost: 2.3642 data_cost: 0.0012 ips: 23.6870 images/s [10/16 22:04:17] ppdet.engine INFO: Epoch: [195] [500/523] learning_rate: 0.107422 loss_vfl: 0.815496 loss_bbox: 0.265370 loss_dfl: 0.184209 loss: 1.279266 eta: 1 day, 11:23:16 batch_cost: 2.3870 data_cost: 0.0030 ips: 23.4606 images/s [10/16 22:05:00] ppdet.engine INFO: Epoch: [195] [520/523] learning_rate: 0.107351 loss_vfl: 0.807858 loss_bbox: 0.266580 loss_dfl: 0.180659 loss: 1.271717 eta: 1 day, 11:22:26 batch_cost: 2.0626 data_cost: 0.0012 ips: 27.1500 images/s [10/16 22:05:33] ppdet.engine INFO: Epoch: [196] [ 0/523] learning_rate: 0.107341 loss_vfl: 0.806408 loss_bbox: 0.268117 loss_dfl: 0.184406 loss: 1.271517 eta: 1 day, 11:22:30 batch_cost: 3.0944 data_cost: 0.8217 ips: 18.0973 images/s [10/16 22:06:27] ppdet.engine INFO: Epoch: [196] [ 20/523] learning_rate: 0.107270 loss_vfl: 0.801608 loss_bbox: 0.274427 loss_dfl: 0.192106 loss: 1.274120 eta: 1 day, 11:21:44 batch_cost: 2.4713 data_cost: 0.0014 ips: 22.6604 images/s [10/16 22:07:18] ppdet.engine INFO: Epoch: [196] [ 40/523] learning_rate: 0.107199 loss_vfl: 0.814321 loss_bbox: 0.276246 loss_dfl: 0.181573 loss: 1.291068 eta: 1 day, 11:20:59 batch_cost: 2.4609 data_cost: 0.0019 ips: 22.7559 images/s [10/16 22:08:08] ppdet.engine INFO: Epoch: [196] [ 60/523] learning_rate: 0.107128 loss_vfl: 0.806210 loss_bbox: 0.281872 loss_dfl: 0.184865 loss: 1.265048 eta: 1 day, 11:20:13 batch_cost: 2.4066 data_cost: 0.0014 ips: 23.2690 images/s [10/16 22:09:00] ppdet.engine INFO: Epoch: [196] [ 80/523] learning_rate: 0.107057 loss_vfl: 0.807666 loss_bbox: 0.282116 loss_dfl: 0.188786 loss: 1.276378 eta: 1 day, 11:19:27 batch_cost: 2.4485 data_cost: 0.0016 ips: 22.8716 images/s [10/16 22:09:49] ppdet.engine INFO: Epoch: [196] [100/523] learning_rate: 0.106986 loss_vfl: 0.800536 loss_bbox: 0.286072 loss_dfl: 0.190913 loss: 1.267628 eta: 1 day, 11:18:40 batch_cost: 2.3539 data_cost: 0.0013 ips: 23.7905 images/s [10/16 22:10:39] ppdet.engine INFO: Epoch: [196] [120/523] learning_rate: 0.106915 loss_vfl: 0.799545 loss_bbox: 0.277185 loss_dfl: 0.182046 loss: 1.265615 eta: 1 day, 11:17:54 batch_cost: 2.3841 data_cost: 0.0012 ips: 23.4886 images/s [10/16 22:11:29] ppdet.engine INFO: Epoch: [196] [140/523] learning_rate: 0.106844 loss_vfl: 0.800736 loss_bbox: 0.278623 loss_dfl: 0.189791 loss: 1.277240 eta: 1 day, 11:17:08 batch_cost: 2.3766 data_cost: 0.0028 ips: 23.5634 images/s [10/16 22:12:17] ppdet.engine INFO: Epoch: [196] [160/523] learning_rate: 0.106773 loss_vfl: 0.796935 loss_bbox: 0.290356 loss_dfl: 0.190988 loss: 1.287931 eta: 1 day, 11:16:21 batch_cost: 2.3395 data_cost: 0.0019 ips: 23.9368 images/s [10/16 22:13:08] ppdet.engine INFO: Epoch: [196] [180/523] learning_rate: 0.106703 loss_vfl: 0.806756 loss_bbox: 0.286189 loss_dfl: 0.196948 loss: 1.291752 eta: 1 day, 11:15:35 batch_cost: 2.4417 data_cost: 0.0028 ips: 22.9344 images/s [10/16 22:14:00] ppdet.engine INFO: Epoch: [196] [200/523] learning_rate: 0.106632 loss_vfl: 0.803129 loss_bbox: 0.271496 loss_dfl: 0.185737 loss: 1.260548 eta: 1 day, 11:14:49 batch_cost: 2.4604 data_cost: 0.0014 ips: 22.7604 images/s [10/16 22:14:49] ppdet.engine INFO: Epoch: [196] [220/523] learning_rate: 0.106561 loss_vfl: 0.805215 loss_bbox: 0.300158 loss_dfl: 0.198504 loss: 1.304507 eta: 1 day, 11:14:03 batch_cost: 2.3710 data_cost: 0.0012 ips: 23.6188 images/s [10/16 22:15:39] ppdet.engine INFO: Epoch: [196] [240/523] learning_rate: 0.106490 loss_vfl: 0.818860 loss_bbox: 0.276057 loss_dfl: 0.187694 loss: 1.282013 eta: 1 day, 11:13:16 batch_cost: 2.3766 data_cost: 0.0013 ips: 23.5626 images/s [10/16 22:16:30] ppdet.engine INFO: Epoch: [196] [260/523] learning_rate: 0.106419 loss_vfl: 0.795645 loss_bbox: 0.289867 loss_dfl: 0.191234 loss: 1.282513 eta: 1 day, 11:12:30 batch_cost: 2.4186 data_cost: 0.0012 ips: 23.1540 images/s [10/16 22:17:19] ppdet.engine INFO: Epoch: [196] [280/523] learning_rate: 0.106349 loss_vfl: 0.798365 loss_bbox: 0.273038 loss_dfl: 0.181946 loss: 1.257377 eta: 1 day, 11:11:44 batch_cost: 2.3832 data_cost: 0.0033 ips: 23.4975 images/s [10/16 22:18:09] ppdet.engine INFO: Epoch: [196] [300/523] learning_rate: 0.106278 loss_vfl: 0.805966 loss_bbox: 0.288324 loss_dfl: 0.189485 loss: 1.271974 eta: 1 day, 11:10:58 batch_cost: 2.3924 data_cost: 0.0027 ips: 23.4076 images/s [10/16 22:18:59] ppdet.engine INFO: Epoch: [196] [320/523] learning_rate: 0.106207 loss_vfl: 0.815408 loss_bbox: 0.280850 loss_dfl: 0.189869 loss: 1.281128 eta: 1 day, 11:10:11 batch_cost: 2.3676 data_cost: 0.0012 ips: 23.6526 images/s [10/16 22:19:48] ppdet.engine INFO: Epoch: [196] [340/523] learning_rate: 0.106136 loss_vfl: 0.822435 loss_bbox: 0.289252 loss_dfl: 0.192461 loss: 1.284476 eta: 1 day, 11:09:24 batch_cost: 2.3461 data_cost: 0.0020 ips: 23.8690 images/s [10/16 22:20:38] ppdet.engine INFO: Epoch: [196] [360/523] learning_rate: 0.106066 loss_vfl: 0.816617 loss_bbox: 0.299882 loss_dfl: 0.193096 loss: 1.311543 eta: 1 day, 11:08:38 batch_cost: 2.4035 data_cost: 0.0023 ips: 23.2995 images/s [10/16 22:21:29] ppdet.engine INFO: Epoch: [196] [380/523] learning_rate: 0.105995 loss_vfl: 0.802998 loss_bbox: 0.301602 loss_dfl: 0.193760 loss: 1.276487 eta: 1 day, 11:07:52 batch_cost: 2.4285 data_cost: 0.0013 ips: 23.0594 images/s [10/16 22:22:19] ppdet.engine INFO: Epoch: [196] [400/523] learning_rate: 0.105924 loss_vfl: 0.794531 loss_bbox: 0.260969 loss_dfl: 0.177741 loss: 1.221290 eta: 1 day, 11:07:06 batch_cost: 2.3978 data_cost: 0.0012 ips: 23.3549 images/s [10/16 22:23:10] ppdet.engine INFO: Epoch: [196] [420/523] learning_rate: 0.105854 loss_vfl: 0.792484 loss_bbox: 0.265246 loss_dfl: 0.172263 loss: 1.260442 eta: 1 day, 11:06:20 batch_cost: 2.4201 data_cost: 0.0013 ips: 23.1393 images/s [10/16 22:24:02] ppdet.engine INFO: Epoch: [196] [440/523] learning_rate: 0.105783 loss_vfl: 0.812204 loss_bbox: 0.271398 loss_dfl: 0.179342 loss: 1.269702 eta: 1 day, 11:05:35 batch_cost: 2.4797 data_cost: 0.0026 ips: 22.5832 images/s [10/16 22:24:51] ppdet.engine INFO: Epoch: [196] [460/523] learning_rate: 0.105712 loss_vfl: 0.786074 loss_bbox: 0.279870 loss_dfl: 0.182483 loss: 1.256943 eta: 1 day, 11:04:48 batch_cost: 2.3824 data_cost: 0.0030 ips: 23.5058 images/s [10/16 22:25:42] ppdet.engine INFO: Epoch: [196] [480/523] learning_rate: 0.105642 loss_vfl: 0.802410 loss_bbox: 0.293477 loss_dfl: 0.190340 loss: 1.293797 eta: 1 day, 11:04:02 batch_cost: 2.4255 data_cost: 0.0012 ips: 23.0878 images/s [10/16 22:26:33] ppdet.engine INFO: Epoch: [196] [500/523] learning_rate: 0.105571 loss_vfl: 0.827631 loss_bbox: 0.266582 loss_dfl: 0.180876 loss: 1.272606 eta: 1 day, 11:03:16 batch_cost: 2.4365 data_cost: 0.0013 ips: 22.9840 images/s [10/16 22:27:19] ppdet.engine INFO: Epoch: [196] [520/523] learning_rate: 0.105500 loss_vfl: 0.821061 loss_bbox: 0.268772 loss_dfl: 0.178466 loss: 1.277367 eta: 1 day, 11:02:28 batch_cost: 2.1887 data_cost: 0.0018 ips: 25.5863 images/s [10/16 22:27:49] ppdet.engine INFO: Epoch: [197] [ 0/523] learning_rate: 0.105490 loss_vfl: 0.823595 loss_bbox: 0.270477 loss_dfl: 0.177332 loss: 1.277367 eta: 1 day, 11:02:31 batch_cost: 3.1037 data_cost: 0.3987 ips: 18.0430 images/s [10/16 22:28:45] ppdet.engine INFO: Epoch: [197] [ 20/523] learning_rate: 0.105419 loss_vfl: 0.799102 loss_bbox: 0.281807 loss_dfl: 0.184111 loss: 1.275725 eta: 1 day, 11:01:47 batch_cost: 2.6849 data_cost: 0.0017 ips: 20.8572 images/s [10/16 22:29:35] ppdet.engine INFO: Epoch: [197] [ 40/523] learning_rate: 0.105349 loss_vfl: 0.797176 loss_bbox: 0.276293 loss_dfl: 0.183355 loss: 1.262972 eta: 1 day, 11:01:01 batch_cost: 2.3952 data_cost: 0.0027 ips: 23.3805 images/s [10/16 22:30:25] ppdet.engine INFO: Epoch: [197] [ 60/523] learning_rate: 0.105278 loss_vfl: 0.789694 loss_bbox: 0.277964 loss_dfl: 0.186751 loss: 1.260910 eta: 1 day, 11:00:15 batch_cost: 2.3756 data_cost: 0.0020 ips: 23.5730 images/s [10/16 22:31:16] ppdet.engine INFO: Epoch: [197] [ 80/523] learning_rate: 0.105208 loss_vfl: 0.792376 loss_bbox: 0.276150 loss_dfl: 0.184567 loss: 1.255126 eta: 1 day, 10:59:29 batch_cost: 2.4474 data_cost: 0.0013 ips: 22.8813 images/s [10/16 22:32:06] ppdet.engine INFO: Epoch: [197] [100/523] learning_rate: 0.105137 loss_vfl: 0.797879 loss_bbox: 0.290282 loss_dfl: 0.188110 loss: 1.284985 eta: 1 day, 10:58:43 batch_cost: 2.3970 data_cost: 0.0015 ips: 23.3626 images/s [10/16 22:32:56] ppdet.engine INFO: Epoch: [197] [120/523] learning_rate: 0.105067 loss_vfl: 0.802180 loss_bbox: 0.283565 loss_dfl: 0.189580 loss: 1.282707 eta: 1 day, 10:57:56 batch_cost: 2.3941 data_cost: 0.0013 ips: 23.3913 images/s [10/16 22:33:47] ppdet.engine INFO: Epoch: [197] [140/523] learning_rate: 0.104996 loss_vfl: 0.807281 loss_bbox: 0.266058 loss_dfl: 0.179538 loss: 1.262487 eta: 1 day, 10:57:10 batch_cost: 2.4150 data_cost: 0.0019 ips: 23.1886 images/s [10/16 22:34:39] ppdet.engine INFO: Epoch: [197] [160/523] learning_rate: 0.104926 loss_vfl: 0.820622 loss_bbox: 0.269939 loss_dfl: 0.178138 loss: 1.276073 eta: 1 day, 10:56:25 batch_cost: 2.5040 data_cost: 0.0018 ips: 22.3643 images/s [10/16 22:35:29] ppdet.engine INFO: Epoch: [197] [180/523] learning_rate: 0.104855 loss_vfl: 0.803684 loss_bbox: 0.271318 loss_dfl: 0.184778 loss: 1.250208 eta: 1 day, 10:55:39 batch_cost: 2.3770 data_cost: 0.0013 ips: 23.5591 images/s [10/16 22:36:19] ppdet.engine INFO: Epoch: [197] [200/523] learning_rate: 0.104785 loss_vfl: 0.801819 loss_bbox: 0.293365 loss_dfl: 0.191700 loss: 1.279649 eta: 1 day, 10:54:52 batch_cost: 2.3883 data_cost: 0.0023 ips: 23.4473 images/s [10/16 22:37:09] ppdet.engine INFO: Epoch: [197] [220/523] learning_rate: 0.104714 loss_vfl: 0.812817 loss_bbox: 0.278622 loss_dfl: 0.178728 loss: 1.260722 eta: 1 day, 10:54:06 batch_cost: 2.3828 data_cost: 0.0017 ips: 23.5021 images/s [10/16 22:38:00] ppdet.engine INFO: Epoch: [197] [240/523] learning_rate: 0.104644 loss_vfl: 0.789044 loss_bbox: 0.257501 loss_dfl: 0.173906 loss: 1.232794 eta: 1 day, 10:53:20 batch_cost: 2.4337 data_cost: 0.0029 ips: 23.0100 images/s [10/16 22:38:50] ppdet.engine INFO: Epoch: [197] [260/523] learning_rate: 0.104574 loss_vfl: 0.801837 loss_bbox: 0.282471 loss_dfl: 0.185117 loss: 1.262214 eta: 1 day, 10:52:34 batch_cost: 2.4086 data_cost: 0.0024 ips: 23.2498 images/s [10/16 22:39:41] ppdet.engine INFO: Epoch: [197] [280/523] learning_rate: 0.104503 loss_vfl: 0.799233 loss_bbox: 0.266706 loss_dfl: 0.190212 loss: 1.280111 eta: 1 day, 10:51:48 batch_cost: 2.4235 data_cost: 0.0013 ips: 23.1074 images/s [10/16 22:40:33] ppdet.engine INFO: Epoch: [197] [300/523] learning_rate: 0.104433 loss_vfl: 0.814053 loss_bbox: 0.264987 loss_dfl: 0.185179 loss: 1.259682 eta: 1 day, 10:51:03 batch_cost: 2.4866 data_cost: 0.0013 ips: 22.5206 images/s [10/16 22:41:22] ppdet.engine INFO: Epoch: [197] [320/523] learning_rate: 0.104362 loss_vfl: 0.811126 loss_bbox: 0.281716 loss_dfl: 0.192046 loss: 1.290362 eta: 1 day, 10:50:16 batch_cost: 2.3776 data_cost: 0.0019 ips: 23.5529 images/s [10/16 22:42:13] ppdet.engine INFO: Epoch: [197] [340/523] learning_rate: 0.104292 loss_vfl: 0.811139 loss_bbox: 0.269108 loss_dfl: 0.175724 loss: 1.270103 eta: 1 day, 10:49:30 batch_cost: 2.4188 data_cost: 0.0012 ips: 23.1518 images/s [10/16 22:43:03] ppdet.engine INFO: Epoch: [197] [360/523] learning_rate: 0.104222 loss_vfl: 0.814856 loss_bbox: 0.295986 loss_dfl: 0.189959 loss: 1.291837 eta: 1 day, 10:48:44 batch_cost: 2.3963 data_cost: 0.0013 ips: 23.3696 images/s [10/16 22:43:54] ppdet.engine INFO: Epoch: [197] [380/523] learning_rate: 0.104151 loss_vfl: 0.795861 loss_bbox: 0.292156 loss_dfl: 0.196651 loss: 1.288136 eta: 1 day, 10:47:58 batch_cost: 2.4132 data_cost: 0.0013 ips: 23.2054 images/s [10/16 22:44:44] ppdet.engine INFO: Epoch: [197] [400/523] learning_rate: 0.104081 loss_vfl: 0.808611 loss_bbox: 0.267456 loss_dfl: 0.179858 loss: 1.270893 eta: 1 day, 10:47:12 batch_cost: 2.4131 data_cost: 0.0013 ips: 23.2062 images/s [10/16 22:45:34] ppdet.engine INFO: Epoch: [197] [420/523] learning_rate: 0.104011 loss_vfl: 0.800863 loss_bbox: 0.262478 loss_dfl: 0.177635 loss: 1.248326 eta: 1 day, 10:46:25 batch_cost: 2.4095 data_cost: 0.0026 ips: 23.2413 images/s [10/16 22:46:24] ppdet.engine INFO: Epoch: [197] [440/523] learning_rate: 0.103941 loss_vfl: 0.802921 loss_bbox: 0.277695 loss_dfl: 0.183784 loss: 1.253174 eta: 1 day, 10:45:39 batch_cost: 2.3731 data_cost: 0.0013 ips: 23.5983 images/s [10/16 22:47:14] ppdet.engine INFO: Epoch: [197] [460/523] learning_rate: 0.103870 loss_vfl: 0.788231 loss_bbox: 0.278803 loss_dfl: 0.182411 loss: 1.261772 eta: 1 day, 10:44:52 batch_cost: 2.3846 data_cost: 0.0020 ips: 23.4843 images/s [10/16 22:48:04] ppdet.engine INFO: Epoch: [197] [480/523] learning_rate: 0.103800 loss_vfl: 0.812712 loss_bbox: 0.271003 loss_dfl: 0.185066 loss: 1.260945 eta: 1 day, 10:44:06 batch_cost: 2.3821 data_cost: 0.0020 ips: 23.5090 images/s [10/16 22:48:55] ppdet.engine INFO: Epoch: [197] [500/523] learning_rate: 0.103730 loss_vfl: 0.796874 loss_bbox: 0.269201 loss_dfl: 0.180533 loss: 1.232579 eta: 1 day, 10:43:20 batch_cost: 2.4493 data_cost: 0.0015 ips: 22.8637 images/s [10/16 22:49:38] ppdet.engine INFO: Epoch: [197] [520/523] learning_rate: 0.103660 loss_vfl: 0.816417 loss_bbox: 0.275019 loss_dfl: 0.185784 loss: 1.264668 eta: 1 day, 10:42:31 batch_cost: 2.0678 data_cost: 0.0012 ips: 27.0816 images/s [10/16 22:50:05] ppdet.engine INFO: Epoch: [198] [ 0/523] learning_rate: 0.103649 loss_vfl: 0.811578 loss_bbox: 0.270169 loss_dfl: 0.182600 loss: 1.261921 eta: 1 day, 10:42:32 batch_cost: 2.8261 data_cost: 0.6325 ips: 19.8150 images/s [10/16 22:51:00] ppdet.engine INFO: Epoch: [198] [ 20/523] learning_rate: 0.103579 loss_vfl: 0.803787 loss_bbox: 0.271660 loss_dfl: 0.184690 loss: 1.238437 eta: 1 day, 10:41:48 batch_cost: 2.6267 data_cost: 0.0032 ips: 21.3194 images/s [10/16 22:51:51] ppdet.engine INFO: Epoch: [198] [ 40/523] learning_rate: 0.103509 loss_vfl: 0.796659 loss_bbox: 0.271429 loss_dfl: 0.181721 loss: 1.250091 eta: 1 day, 10:41:02 batch_cost: 2.4233 data_cost: 0.0023 ips: 23.1092 images/s [10/16 22:52:41] ppdet.engine INFO: Epoch: [198] [ 60/523] learning_rate: 0.103439 loss_vfl: 0.788700 loss_bbox: 0.280194 loss_dfl: 0.187116 loss: 1.256926 eta: 1 day, 10:40:15 batch_cost: 2.4024 data_cost: 0.0015 ips: 23.3104 images/s [10/16 22:53:31] ppdet.engine INFO: Epoch: [198] [ 80/523] learning_rate: 0.103369 loss_vfl: 0.801458 loss_bbox: 0.275234 loss_dfl: 0.178603 loss: 1.238086 eta: 1 day, 10:39:29 batch_cost: 2.3797 data_cost: 0.0013 ips: 23.5319 images/s [10/16 22:54:21] ppdet.engine INFO: Epoch: [198] [100/523] learning_rate: 0.103299 loss_vfl: 0.812617 loss_bbox: 0.260275 loss_dfl: 0.175018 loss: 1.235904 eta: 1 day, 10:38:43 batch_cost: 2.3966 data_cost: 0.0036 ips: 23.3660 images/s [10/16 22:55:12] ppdet.engine INFO: Epoch: [198] [120/523] learning_rate: 0.103228 loss_vfl: 0.792418 loss_bbox: 0.280654 loss_dfl: 0.182519 loss: 1.247136 eta: 1 day, 10:37:57 batch_cost: 2.4242 data_cost: 0.0013 ips: 23.1006 images/s [10/16 22:56:04] ppdet.engine INFO: Epoch: [198] [140/523] learning_rate: 0.103158 loss_vfl: 0.800349 loss_bbox: 0.275729 loss_dfl: 0.185071 loss: 1.268889 eta: 1 day, 10:37:11 batch_cost: 2.4820 data_cost: 0.0056 ips: 22.5628 images/s [10/16 22:56:53] ppdet.engine INFO: Epoch: [198] [160/523] learning_rate: 0.103088 loss_vfl: 0.797365 loss_bbox: 0.305100 loss_dfl: 0.189946 loss: 1.276842 eta: 1 day, 10:36:25 batch_cost: 2.3787 data_cost: 0.0019 ips: 23.5419 images/s [10/16 22:57:43] ppdet.engine INFO: Epoch: [198] [180/523] learning_rate: 0.103018 loss_vfl: 0.807266 loss_bbox: 0.256814 loss_dfl: 0.181792 loss: 1.239726 eta: 1 day, 10:35:38 batch_cost: 2.3858 data_cost: 0.0013 ips: 23.4720 images/s [10/16 22:58:33] ppdet.engine INFO: Epoch: [198] [200/523] learning_rate: 0.102948 loss_vfl: 0.798012 loss_bbox: 0.282895 loss_dfl: 0.186792 loss: 1.261513 eta: 1 day, 10:34:52 batch_cost: 2.3672 data_cost: 0.0020 ips: 23.6565 images/s [10/16 22:59:24] ppdet.engine INFO: Epoch: [198] [220/523] learning_rate: 0.102878 loss_vfl: 0.819434 loss_bbox: 0.282887 loss_dfl: 0.188326 loss: 1.279930 eta: 1 day, 10:34:06 batch_cost: 2.4722 data_cost: 0.0028 ips: 22.6517 images/s [10/16 23:00:15] ppdet.engine INFO: Epoch: [198] [240/523] learning_rate: 0.102808 loss_vfl: 0.795618 loss_bbox: 0.283548 loss_dfl: 0.186798 loss: 1.272828 eta: 1 day, 10:33:20 batch_cost: 2.4308 data_cost: 0.0064 ips: 23.0379 images/s [10/16 23:01:06] ppdet.engine INFO: Epoch: [198] [260/523] learning_rate: 0.102738 loss_vfl: 0.781686 loss_bbox: 0.277981 loss_dfl: 0.182852 loss: 1.248442 eta: 1 day, 10:32:35 batch_cost: 2.4510 data_cost: 0.0013 ips: 22.8475 images/s [10/16 23:01:55] ppdet.engine INFO: Epoch: [198] [280/523] learning_rate: 0.102668 loss_vfl: 0.806463 loss_bbox: 0.290623 loss_dfl: 0.188647 loss: 1.272629 eta: 1 day, 10:31:48 batch_cost: 2.3475 data_cost: 0.0014 ips: 23.8548 images/s [10/16 23:02:45] ppdet.engine INFO: Epoch: [198] [300/523] learning_rate: 0.102598 loss_vfl: 0.805016 loss_bbox: 0.292672 loss_dfl: 0.191404 loss: 1.300331 eta: 1 day, 10:31:01 batch_cost: 2.3870 data_cost: 0.0027 ips: 23.4608 images/s [10/16 23:03:35] ppdet.engine INFO: Epoch: [198] [320/523] learning_rate: 0.102528 loss_vfl: 0.801985 loss_bbox: 0.290192 loss_dfl: 0.186610 loss: 1.261979 eta: 1 day, 10:30:15 batch_cost: 2.3657 data_cost: 0.0026 ips: 23.6713 images/s [10/16 23:04:24] ppdet.engine INFO: Epoch: [198] [340/523] learning_rate: 0.102458 loss_vfl: 0.810820 loss_bbox: 0.279491 loss_dfl: 0.191861 loss: 1.285562 eta: 1 day, 10:29:28 batch_cost: 2.3473 data_cost: 0.0014 ips: 23.8574 images/s [10/16 23:05:14] ppdet.engine INFO: Epoch: [198] [360/523] learning_rate: 0.102388 loss_vfl: 0.802664 loss_bbox: 0.288731 loss_dfl: 0.189703 loss: 1.268263 eta: 1 day, 10:28:41 batch_cost: 2.3540 data_cost: 0.0014 ips: 23.7893 images/s [10/16 23:06:04] ppdet.engine INFO: Epoch: [198] [380/523] learning_rate: 0.102319 loss_vfl: 0.807004 loss_bbox: 0.286860 loss_dfl: 0.189662 loss: 1.284904 eta: 1 day, 10:27:55 batch_cost: 2.3986 data_cost: 0.0013 ips: 23.3469 images/s [10/16 23:06:54] ppdet.engine INFO: Epoch: [198] [400/523] learning_rate: 0.102249 loss_vfl: 0.801247 loss_bbox: 0.302561 loss_dfl: 0.192403 loss: 1.310022 eta: 1 day, 10:27:09 batch_cost: 2.4169 data_cost: 0.0014 ips: 23.1705 images/s [10/16 23:07:45] ppdet.engine INFO: Epoch: [198] [420/523] learning_rate: 0.102179 loss_vfl: 0.781348 loss_bbox: 0.270232 loss_dfl: 0.181749 loss: 1.224234 eta: 1 day, 10:26:23 batch_cost: 2.4550 data_cost: 0.0013 ips: 22.8107 images/s [10/16 23:08:36] ppdet.engine INFO: Epoch: [198] [440/523] learning_rate: 0.102109 loss_vfl: 0.821598 loss_bbox: 0.272253 loss_dfl: 0.180405 loss: 1.280375 eta: 1 day, 10:25:37 batch_cost: 2.4041 data_cost: 0.0015 ips: 23.2934 images/s [10/16 23:09:27] ppdet.engine INFO: Epoch: [198] [460/523] learning_rate: 0.102039 loss_vfl: 0.809081 loss_bbox: 0.272242 loss_dfl: 0.184799 loss: 1.302281 eta: 1 day, 10:24:51 batch_cost: 2.4114 data_cost: 0.0027 ips: 23.2229 images/s [10/16 23:10:18] ppdet.engine INFO: Epoch: [198] [480/523] learning_rate: 0.101969 loss_vfl: 0.803396 loss_bbox: 0.288065 loss_dfl: 0.191646 loss: 1.288303 eta: 1 day, 10:24:05 batch_cost: 2.4489 data_cost: 0.0021 ips: 22.8679 images/s [10/16 23:11:09] ppdet.engine INFO: Epoch: [198] [500/523] learning_rate: 0.101900 loss_vfl: 0.813303 loss_bbox: 0.285785 loss_dfl: 0.180993 loss: 1.306386 eta: 1 day, 10:23:19 batch_cost: 2.4139 data_cost: 0.0025 ips: 23.1987 images/s [10/16 23:11:54] ppdet.engine INFO: Epoch: [198] [520/523] learning_rate: 0.101830 loss_vfl: 0.818897 loss_bbox: 0.264804 loss_dfl: 0.183873 loss: 1.283252 eta: 1 day, 10:22:30 batch_cost: 2.1580 data_cost: 0.0013 ips: 25.9505 images/s [10/16 23:12:21] ppdet.engine INFO: Epoch: [199] [ 0/523] learning_rate: 0.101819 loss_vfl: 0.806773 loss_bbox: 0.264553 loss_dfl: 0.183873 loss: 1.271901 eta: 1 day, 10:22:31 batch_cost: 2.9180 data_cost: 0.6429 ips: 19.1915 images/s [10/16 23:13:16] ppdet.engine INFO: Epoch: [199] [ 20/523] learning_rate: 0.101749 loss_vfl: 0.799977 loss_bbox: 0.292410 loss_dfl: 0.187169 loss: 1.266588 eta: 1 day, 10:21:47 batch_cost: 2.6174 data_cost: 0.0020 ips: 21.3952 images/s [10/16 23:14:08] ppdet.engine INFO: Epoch: [199] [ 40/523] learning_rate: 0.101680 loss_vfl: 0.791393 loss_bbox: 0.291000 loss_dfl: 0.190829 loss: 1.270553 eta: 1 day, 10:21:02 batch_cost: 2.4977 data_cost: 0.0015 ips: 22.4203 images/s [10/16 23:14:58] ppdet.engine INFO: Epoch: [199] [ 60/523] learning_rate: 0.101610 loss_vfl: 0.797332 loss_bbox: 0.277136 loss_dfl: 0.185742 loss: 1.247349 eta: 1 day, 10:20:16 batch_cost: 2.4085 data_cost: 0.0013 ips: 23.2510 images/s [10/16 23:15:49] ppdet.engine INFO: Epoch: [199] [ 80/523] learning_rate: 0.101540 loss_vfl: 0.800403 loss_bbox: 0.283354 loss_dfl: 0.189331 loss: 1.288565 eta: 1 day, 10:19:30 batch_cost: 2.4353 data_cost: 0.0040 ips: 22.9949 images/s [10/16 23:16:39] ppdet.engine INFO: Epoch: [199] [100/523] learning_rate: 0.101471 loss_vfl: 0.791155 loss_bbox: 0.273656 loss_dfl: 0.185646 loss: 1.245809 eta: 1 day, 10:18:43 batch_cost: 2.3757 data_cost: 0.0025 ips: 23.5719 images/s [10/16 23:17:29] ppdet.engine INFO: Epoch: [199] [120/523] learning_rate: 0.101401 loss_vfl: 0.793547 loss_bbox: 0.278009 loss_dfl: 0.190569 loss: 1.272044 eta: 1 day, 10:17:57 batch_cost: 2.3811 data_cost: 0.0013 ips: 23.5181 images/s [10/16 23:18:18] ppdet.engine INFO: Epoch: [199] [140/523] learning_rate: 0.101331 loss_vfl: 0.810945 loss_bbox: 0.275631 loss_dfl: 0.192845 loss: 1.256819 eta: 1 day, 10:17:10 batch_cost: 2.3797 data_cost: 0.0019 ips: 23.5327 images/s [10/16 23:19:08] ppdet.engine INFO: Epoch: [199] [160/523] learning_rate: 0.101262 loss_vfl: 0.795637 loss_bbox: 0.290417 loss_dfl: 0.193300 loss: 1.274938 eta: 1 day, 10:16:24 batch_cost: 2.3944 data_cost: 0.0040 ips: 23.3875 images/s [10/16 23:19:57] ppdet.engine INFO: Epoch: [199] [180/523] learning_rate: 0.101192 loss_vfl: 0.812952 loss_bbox: 0.280340 loss_dfl: 0.186908 loss: 1.279851 eta: 1 day, 10:15:37 batch_cost: 2.3381 data_cost: 0.0053 ips: 23.9512 images/s [10/16 23:20:46] ppdet.engine INFO: Epoch: [199] [200/523] learning_rate: 0.101122 loss_vfl: 0.786872 loss_bbox: 0.285551 loss_dfl: 0.193097 loss: 1.260393 eta: 1 day, 10:14:50 batch_cost: 2.3332 data_cost: 0.0026 ips: 24.0011 images/s [10/16 23:21:36] ppdet.engine INFO: Epoch: [199] [220/523] learning_rate: 0.101053 loss_vfl: 0.794299 loss_bbox: 0.276575 loss_dfl: 0.186587 loss: 1.262898 eta: 1 day, 10:14:04 batch_cost: 2.4173 data_cost: 0.0013 ips: 23.1660 images/s [10/16 23:22:28] ppdet.engine INFO: Epoch: [199] [240/523] learning_rate: 0.100983 loss_vfl: 0.797008 loss_bbox: 0.280259 loss_dfl: 0.186369 loss: 1.279716 eta: 1 day, 10:13:18 batch_cost: 2.4480 data_cost: 0.0017 ips: 22.8762 images/s [10/16 23:23:18] ppdet.engine INFO: Epoch: [199] [260/523] learning_rate: 0.100913 loss_vfl: 0.817631 loss_bbox: 0.269979 loss_dfl: 0.190191 loss: 1.287960 eta: 1 day, 10:12:32 batch_cost: 2.4030 data_cost: 0.0041 ips: 23.3044 images/s [10/16 23:24:08] ppdet.engine INFO: Epoch: [199] [280/523] learning_rate: 0.100844 loss_vfl: 0.796653 loss_bbox: 0.280389 loss_dfl: 0.188071 loss: 1.291310 eta: 1 day, 10:11:45 batch_cost: 2.3916 data_cost: 0.0013 ips: 23.4153 images/s [10/16 23:24:57] ppdet.engine INFO: Epoch: [199] [300/523] learning_rate: 0.100774 loss_vfl: 0.797410 loss_bbox: 0.300043 loss_dfl: 0.193089 loss: 1.278639 eta: 1 day, 10:10:59 batch_cost: 2.3616 data_cost: 0.0014 ips: 23.7126 images/s [10/16 23:25:48] ppdet.engine INFO: Epoch: [199] [320/523] learning_rate: 0.100705 loss_vfl: 0.799368 loss_bbox: 0.267186 loss_dfl: 0.176512 loss: 1.241417 eta: 1 day, 10:10:13 batch_cost: 2.4221 data_cost: 0.0032 ips: 23.1202 images/s [10/16 23:26:38] ppdet.engine INFO: Epoch: [199] [340/523] learning_rate: 0.100635 loss_vfl: 0.792678 loss_bbox: 0.273550 loss_dfl: 0.188707 loss: 1.263959 eta: 1 day, 10:09:26 batch_cost: 2.4004 data_cost: 0.0014 ips: 23.3291 images/s [10/16 23:27:29] ppdet.engine INFO: Epoch: [199] [360/523] learning_rate: 0.100566 loss_vfl: 0.794742 loss_bbox: 0.285894 loss_dfl: 0.193954 loss: 1.270270 eta: 1 day, 10:08:40 batch_cost: 2.4249 data_cost: 0.0017 ips: 23.0933 images/s [10/16 23:28:19] ppdet.engine INFO: Epoch: [199] [380/523] learning_rate: 0.100496 loss_vfl: 0.821291 loss_bbox: 0.281481 loss_dfl: 0.194951 loss: 1.308068 eta: 1 day, 10:07:54 batch_cost: 2.4039 data_cost: 0.0013 ips: 23.2956 images/s [10/16 23:29:09] ppdet.engine INFO: Epoch: [199] [400/523] learning_rate: 0.100427 loss_vfl: 0.785267 loss_bbox: 0.275207 loss_dfl: 0.183927 loss: 1.257586 eta: 1 day, 10:07:08 batch_cost: 2.4082 data_cost: 0.0028 ips: 23.2543 images/s [10/16 23:29:59] ppdet.engine INFO: Epoch: [199] [420/523] learning_rate: 0.100357 loss_vfl: 0.819291 loss_bbox: 0.287248 loss_dfl: 0.194051 loss: 1.290374 eta: 1 day, 10:06:22 batch_cost: 2.4150 data_cost: 0.0014 ips: 23.1884 images/s [10/16 23:30:50] ppdet.engine INFO: Epoch: [199] [440/523] learning_rate: 0.100288 loss_vfl: 0.808522 loss_bbox: 0.285291 loss_dfl: 0.189926 loss: 1.284783 eta: 1 day, 10:05:36 batch_cost: 2.4255 data_cost: 0.0020 ips: 23.0881 images/s [10/16 23:31:41] ppdet.engine INFO: Epoch: [199] [460/523] learning_rate: 0.100219 loss_vfl: 0.800635 loss_bbox: 0.278336 loss_dfl: 0.190964 loss: 1.278239 eta: 1 day, 10:04:50 batch_cost: 2.4231 data_cost: 0.0014 ips: 23.1113 images/s [10/16 23:32:31] ppdet.engine INFO: Epoch: [199] [480/523] learning_rate: 0.100149 loss_vfl: 0.827376 loss_bbox: 0.267775 loss_dfl: 0.176046 loss: 1.271266 eta: 1 day, 10:04:03 batch_cost: 2.3859 data_cost: 0.0019 ips: 23.4711 images/s [10/16 23:33:21] ppdet.engine INFO: Epoch: [199] [500/523] learning_rate: 0.100080 loss_vfl: 0.809132 loss_bbox: 0.276763 loss_dfl: 0.189019 loss: 1.276044 eta: 1 day, 10:03:17 batch_cost: 2.3947 data_cost: 0.0012 ips: 23.3845 images/s [10/16 23:34:05] ppdet.engine INFO: Epoch: [199] [520/523] learning_rate: 0.100010 loss_vfl: 0.799803 loss_bbox: 0.290392 loss_dfl: 0.190354 loss: 1.275033 eta: 1 day, 10:02:27 batch_cost: 2.0784 data_cost: 0.0013 ips: 26.9433 images/s [10/16 23:34:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 23:34:14] ppdet.engine INFO: Eval iter: 0 [10/16 23:34:54] ppdet.engine INFO: Eval iter: 100 [10/16 23:35:15] ppdet.engine INFO: Eval iter: 200 [10/16 23:35:35] ppdet.engine INFO: Eval iter: 300 [10/16 23:35:55] ppdet.engine INFO: Eval iter: 400 [10/16 23:36:15] ppdet.engine INFO: Eval iter: 500 [10/16 23:36:36] ppdet.engine INFO: Eval iter: 600 [10/16 23:36:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/16 23:36:58] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.75s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.89s). Accumulating evaluation results... DONE (t=18.79s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.382 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 ] = 0.389 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.573 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.306 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.245 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.584 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.754 [10/16 23:39:07] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.53137373506205 [10/16 23:39:07] ppdet.engine INFO: Best test bbox ap is 0.360. [10/16 23:39:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/16 23:39:09] ppdet.engine INFO: Epoch: [200] [ 0/523] learning_rate: 0.100000 loss_vfl: 0.800367 loss_bbox: 0.281631 loss_dfl: 0.194421 loss: 1.277257 eta: 1 day, 10:02:20 batch_cost: 2.0475 data_cost: 0.0013 ips: 27.3503 images/s [10/16 23:40:03] ppdet.engine INFO: Epoch: [200] [ 20/523] learning_rate: 0.099931 loss_vfl: 0.781035 loss_bbox: 0.280288 loss_dfl: 0.186317 loss: 1.247313 eta: 1 day, 10:01:35 batch_cost: 2.5721 data_cost: 0.0013 ips: 21.7719 images/s [10/16 23:40:55] ppdet.engine INFO: Epoch: [200] [ 40/523] learning_rate: 0.099861 loss_vfl: 0.785864 loss_bbox: 0.267590 loss_dfl: 0.178651 loss: 1.241597 eta: 1 day, 10:00:50 batch_cost: 2.4976 data_cost: 0.0014 ips: 22.4215 images/s [10/16 23:41:46] ppdet.engine INFO: Epoch: [200] [ 60/523] learning_rate: 0.099792 loss_vfl: 0.784997 loss_bbox: 0.265463 loss_dfl: 0.178714 loss: 1.249808 eta: 1 day, 10:00:04 batch_cost: 2.4620 data_cost: 0.0024 ips: 22.7456 images/s [10/16 23:42:37] ppdet.engine INFO: Epoch: [200] [ 80/523] learning_rate: 0.099723 loss_vfl: 0.804378 loss_bbox: 0.264766 loss_dfl: 0.174400 loss: 1.268919 eta: 1 day, 9:59:18 batch_cost: 2.4228 data_cost: 0.0014 ips: 23.1141 images/s [10/16 23:43:27] ppdet.engine INFO: Epoch: [200] [100/523] learning_rate: 0.099653 loss_vfl: 0.801044 loss_bbox: 0.276113 loss_dfl: 0.190475 loss: 1.279655 eta: 1 day, 9:58:32 batch_cost: 2.3875 data_cost: 0.0019 ips: 23.4556 images/s [10/16 23:44:18] ppdet.engine INFO: Epoch: [200] [120/523] learning_rate: 0.099584 loss_vfl: 0.810833 loss_bbox: 0.276656 loss_dfl: 0.193271 loss: 1.273973 eta: 1 day, 9:57:46 batch_cost: 2.4513 data_cost: 0.0018 ips: 22.8453 images/s [10/16 23:45:10] ppdet.engine INFO: Epoch: [200] [140/523] learning_rate: 0.099515 loss_vfl: 0.807900 loss_bbox: 0.271042 loss_dfl: 0.180264 loss: 1.249321 eta: 1 day, 9:57:01 batch_cost: 2.5036 data_cost: 0.0045 ips: 22.3682 images/s [10/16 23:46:02] ppdet.engine INFO: Epoch: [200] [160/523] learning_rate: 0.099446 loss_vfl: 0.794394 loss_bbox: 0.270967 loss_dfl: 0.179783 loss: 1.254203 eta: 1 day, 9:56:15 batch_cost: 2.4841 data_cost: 0.0013 ips: 22.5434 images/s [10/16 23:46:52] ppdet.engine INFO: Epoch: [200] [180/523] learning_rate: 0.099376 loss_vfl: 0.800918 loss_bbox: 0.275370 loss_dfl: 0.185090 loss: 1.253216 eta: 1 day, 9:55:29 batch_cost: 2.3666 data_cost: 0.0026 ips: 23.6629 images/s [10/16 23:47:41] ppdet.engine INFO: Epoch: [200] [200/523] learning_rate: 0.099307 loss_vfl: 0.798472 loss_bbox: 0.283251 loss_dfl: 0.191822 loss: 1.275106 eta: 1 day, 9:54:42 batch_cost: 2.3732 data_cost: 0.0064 ips: 23.5967 images/s [10/16 23:48:30] ppdet.engine INFO: Epoch: [200] [220/523] learning_rate: 0.099238 loss_vfl: 0.785386 loss_bbox: 0.297318 loss_dfl: 0.192334 loss: 1.279303 eta: 1 day, 9:53:55 batch_cost: 2.3376 data_cost: 0.0014 ips: 23.9560 images/s [10/16 23:49:21] ppdet.engine INFO: Epoch: [200] [240/523] learning_rate: 0.099169 loss_vfl: 0.795660 loss_bbox: 0.297451 loss_dfl: 0.190623 loss: 1.293626 eta: 1 day, 9:53:09 batch_cost: 2.4229 data_cost: 0.0020 ips: 23.1130 images/s [10/16 23:50:13] ppdet.engine INFO: Epoch: [200] [260/523] learning_rate: 0.099100 loss_vfl: 0.786541 loss_bbox: 0.298923 loss_dfl: 0.191729 loss: 1.276802 eta: 1 day, 9:52:24 batch_cost: 2.4806 data_cost: 0.0013 ips: 22.5756 images/s [10/16 23:51:03] ppdet.engine INFO: Epoch: [200] [280/523] learning_rate: 0.099031 loss_vfl: 0.801601 loss_bbox: 0.295512 loss_dfl: 0.194639 loss: 1.288713 eta: 1 day, 9:51:38 batch_cost: 2.4363 data_cost: 0.0020 ips: 22.9855 images/s [10/16 23:51:53] ppdet.engine INFO: Epoch: [200] [300/523] learning_rate: 0.098961 loss_vfl: 0.800633 loss_bbox: 0.266268 loss_dfl: 0.185270 loss: 1.244086 eta: 1 day, 9:50:51 batch_cost: 2.3711 data_cost: 0.0028 ips: 23.6174 images/s [10/16 23:52:42] ppdet.engine INFO: Epoch: [200] [320/523] learning_rate: 0.098892 loss_vfl: 0.813068 loss_bbox: 0.275851 loss_dfl: 0.178774 loss: 1.262546 eta: 1 day, 9:50:04 batch_cost: 2.3400 data_cost: 0.0013 ips: 23.9318 images/s [10/16 23:53:31] ppdet.engine INFO: Epoch: [200] [340/523] learning_rate: 0.098823 loss_vfl: 0.802436 loss_bbox: 0.273508 loss_dfl: 0.179159 loss: 1.267578 eta: 1 day, 9:49:17 batch_cost: 2.3411 data_cost: 0.0013 ips: 23.9203 images/s [10/16 23:54:21] ppdet.engine INFO: Epoch: [200] [360/523] learning_rate: 0.098754 loss_vfl: 0.796657 loss_bbox: 0.261756 loss_dfl: 0.177563 loss: 1.248387 eta: 1 day, 9:48:31 batch_cost: 2.3909 data_cost: 0.0012 ips: 23.4217 images/s [10/16 23:55:12] ppdet.engine INFO: Epoch: [200] [380/523] learning_rate: 0.098685 loss_vfl: 0.807269 loss_bbox: 0.299014 loss_dfl: 0.190439 loss: 1.297141 eta: 1 day, 9:47:45 batch_cost: 2.4532 data_cost: 0.0013 ips: 22.8269 images/s [10/16 23:56:03] ppdet.engine INFO: Epoch: [200] [400/523] learning_rate: 0.098616 loss_vfl: 0.810601 loss_bbox: 0.272866 loss_dfl: 0.185012 loss: 1.280589 eta: 1 day, 9:46:59 batch_cost: 2.4226 data_cost: 0.0013 ips: 23.1160 images/s [10/16 23:56:51] ppdet.engine INFO: Epoch: [200] [420/523] learning_rate: 0.098547 loss_vfl: 0.802339 loss_bbox: 0.276996 loss_dfl: 0.180829 loss: 1.246742 eta: 1 day, 9:46:12 batch_cost: 2.3088 data_cost: 0.0013 ips: 24.2547 images/s [10/16 23:57:41] ppdet.engine INFO: Epoch: [200] [440/523] learning_rate: 0.098478 loss_vfl: 0.782886 loss_bbox: 0.302352 loss_dfl: 0.197148 loss: 1.276969 eta: 1 day, 9:45:25 batch_cost: 2.3576 data_cost: 0.0014 ips: 23.7531 images/s [10/16 23:58:30] ppdet.engine INFO: Epoch: [200] [460/523] learning_rate: 0.098409 loss_vfl: 0.785810 loss_bbox: 0.274883 loss_dfl: 0.187361 loss: 1.258334 eta: 1 day, 9:44:39 batch_cost: 2.3658 data_cost: 0.0014 ips: 23.6711 images/s [10/16 23:59:20] ppdet.engine INFO: Epoch: [200] [480/523] learning_rate: 0.098340 loss_vfl: 0.807005 loss_bbox: 0.251022 loss_dfl: 0.180493 loss: 1.245008 eta: 1 day, 9:43:52 batch_cost: 2.3915 data_cost: 0.0014 ips: 23.4165 images/s [10/17 00:00:10] ppdet.engine INFO: Epoch: [200] [500/523] learning_rate: 0.098271 loss_vfl: 0.810021 loss_bbox: 0.289342 loss_dfl: 0.192302 loss: 1.293053 eta: 1 day, 9:43:06 batch_cost: 2.4049 data_cost: 0.0013 ips: 23.2857 images/s [10/17 00:00:56] ppdet.engine INFO: Epoch: [200] [520/523] learning_rate: 0.098202 loss_vfl: 0.797735 loss_bbox: 0.269336 loss_dfl: 0.182265 loss: 1.267564 eta: 1 day, 9:42:17 batch_cost: 2.1541 data_cost: 0.0020 ips: 25.9975 images/s [10/17 00:01:27] ppdet.engine INFO: Epoch: [201] [ 0/523] learning_rate: 0.098192 loss_vfl: 0.807058 loss_bbox: 0.278218 loss_dfl: 0.183543 loss: 1.275525 eta: 1 day, 9:42:20 batch_cost: 3.1674 data_cost: 0.6063 ips: 17.6800 images/s [10/17 00:02:19] ppdet.engine INFO: Epoch: [201] [ 20/523] learning_rate: 0.098123 loss_vfl: 0.787277 loss_bbox: 0.274351 loss_dfl: 0.177570 loss: 1.232901 eta: 1 day, 9:41:35 batch_cost: 2.4492 data_cost: 0.0017 ips: 22.8643 images/s [10/17 00:03:09] ppdet.engine INFO: Epoch: [201] [ 40/523] learning_rate: 0.098054 loss_vfl: 0.796616 loss_bbox: 0.294810 loss_dfl: 0.192897 loss: 1.293156 eta: 1 day, 9:40:48 batch_cost: 2.3722 data_cost: 0.0038 ips: 23.6063 images/s [10/17 00:03:57] ppdet.engine INFO: Epoch: [201] [ 60/523] learning_rate: 0.097985 loss_vfl: 0.800204 loss_bbox: 0.276724 loss_dfl: 0.194702 loss: 1.265391 eta: 1 day, 9:40:01 batch_cost: 2.3066 data_cost: 0.0028 ips: 24.2783 images/s [10/17 00:04:47] ppdet.engine INFO: Epoch: [201] [ 80/523] learning_rate: 0.097916 loss_vfl: 0.783495 loss_bbox: 0.269769 loss_dfl: 0.181925 loss: 1.254026 eta: 1 day, 9:39:14 batch_cost: 2.3924 data_cost: 0.0030 ips: 23.4072 images/s [10/17 00:05:37] ppdet.engine INFO: Epoch: [201] [100/523] learning_rate: 0.097847 loss_vfl: 0.794535 loss_bbox: 0.280461 loss_dfl: 0.192066 loss: 1.273360 eta: 1 day, 9:38:28 batch_cost: 2.3755 data_cost: 0.0021 ips: 23.5739 images/s [10/17 00:06:25] ppdet.engine INFO: Epoch: [201] [120/523] learning_rate: 0.097778 loss_vfl: 0.794977 loss_bbox: 0.278853 loss_dfl: 0.181620 loss: 1.247773 eta: 1 day, 9:37:40 batch_cost: 2.2855 data_cost: 0.0014 ips: 24.5021 images/s [10/17 00:07:14] ppdet.engine INFO: Epoch: [201] [140/523] learning_rate: 0.097710 loss_vfl: 0.802401 loss_bbox: 0.297818 loss_dfl: 0.186916 loss: 1.277561 eta: 1 day, 9:36:54 batch_cost: 2.3702 data_cost: 0.0021 ips: 23.6266 images/s [10/17 00:08:05] ppdet.engine INFO: Epoch: [201] [160/523] learning_rate: 0.097641 loss_vfl: 0.795781 loss_bbox: 0.300333 loss_dfl: 0.191257 loss: 1.285217 eta: 1 day, 9:36:07 batch_cost: 2.4033 data_cost: 0.0013 ips: 23.3016 images/s [10/17 00:08:55] ppdet.engine INFO: Epoch: [201] [180/523] learning_rate: 0.097572 loss_vfl: 0.796193 loss_bbox: 0.268581 loss_dfl: 0.185337 loss: 1.240331 eta: 1 day, 9:35:21 batch_cost: 2.3921 data_cost: 0.0014 ips: 23.4100 images/s [10/17 00:09:45] ppdet.engine INFO: Epoch: [201] [200/523] learning_rate: 0.097503 loss_vfl: 0.802778 loss_bbox: 0.290585 loss_dfl: 0.195260 loss: 1.280851 eta: 1 day, 9:34:35 batch_cost: 2.3818 data_cost: 0.0013 ips: 23.5112 images/s [10/17 00:10:33] ppdet.engine INFO: Epoch: [201] [220/523] learning_rate: 0.097434 loss_vfl: 0.802230 loss_bbox: 0.279614 loss_dfl: 0.187396 loss: 1.267626 eta: 1 day, 9:33:47 batch_cost: 2.2939 data_cost: 0.0017 ips: 24.4125 images/s [10/17 00:11:22] ppdet.engine INFO: Epoch: [201] [240/523] learning_rate: 0.097366 loss_vfl: 0.781535 loss_bbox: 0.271779 loss_dfl: 0.180900 loss: 1.234113 eta: 1 day, 9:33:00 batch_cost: 2.3421 data_cost: 0.0020 ips: 23.9106 images/s [10/17 00:12:11] ppdet.engine INFO: Epoch: [201] [260/523] learning_rate: 0.097297 loss_vfl: 0.797972 loss_bbox: 0.294318 loss_dfl: 0.193619 loss: 1.287042 eta: 1 day, 9:32:14 batch_cost: 2.3607 data_cost: 0.0014 ips: 23.7214 images/s [10/17 00:13:00] ppdet.engine INFO: Epoch: [201] [280/523] learning_rate: 0.097228 loss_vfl: 0.799123 loss_bbox: 0.262726 loss_dfl: 0.179741 loss: 1.230935 eta: 1 day, 9:31:27 batch_cost: 2.3445 data_cost: 0.0033 ips: 23.8857 images/s [10/17 00:13:51] ppdet.engine INFO: Epoch: [201] [300/523] learning_rate: 0.097159 loss_vfl: 0.810565 loss_bbox: 0.281783 loss_dfl: 0.187219 loss: 1.284198 eta: 1 day, 9:30:41 batch_cost: 2.4118 data_cost: 0.0016 ips: 23.2192 images/s [10/17 00:14:40] ppdet.engine INFO: Epoch: [201] [320/523] learning_rate: 0.097091 loss_vfl: 0.802111 loss_bbox: 0.268658 loss_dfl: 0.178979 loss: 1.251840 eta: 1 day, 9:29:54 batch_cost: 2.3810 data_cost: 0.0020 ips: 23.5197 images/s [10/17 00:15:29] ppdet.engine INFO: Epoch: [201] [340/523] learning_rate: 0.097022 loss_vfl: 0.801002 loss_bbox: 0.286789 loss_dfl: 0.188142 loss: 1.271337 eta: 1 day, 9:29:07 batch_cost: 2.3209 data_cost: 0.0013 ips: 24.1285 images/s [10/17 00:16:19] ppdet.engine INFO: Epoch: [201] [360/523] learning_rate: 0.096953 loss_vfl: 0.799200 loss_bbox: 0.290381 loss_dfl: 0.184544 loss: 1.263457 eta: 1 day, 9:28:20 batch_cost: 2.3732 data_cost: 0.0020 ips: 23.5968 images/s [10/17 00:17:10] ppdet.engine INFO: Epoch: [201] [380/523] learning_rate: 0.096885 loss_vfl: 0.799221 loss_bbox: 0.264828 loss_dfl: 0.183586 loss: 1.232056 eta: 1 day, 9:27:35 batch_cost: 2.4462 data_cost: 0.0022 ips: 22.8926 images/s [10/17 00:18:01] ppdet.engine INFO: Epoch: [201] [400/523] learning_rate: 0.096816 loss_vfl: 0.805240 loss_bbox: 0.273371 loss_dfl: 0.187977 loss: 1.292198 eta: 1 day, 9:26:49 batch_cost: 2.4415 data_cost: 0.0013 ips: 22.9371 images/s [10/17 00:18:50] ppdet.engine INFO: Epoch: [201] [420/523] learning_rate: 0.096748 loss_vfl: 0.815796 loss_bbox: 0.296282 loss_dfl: 0.188239 loss: 1.297177 eta: 1 day, 9:26:02 batch_cost: 2.3529 data_cost: 0.0014 ips: 23.8004 images/s [10/17 00:19:40] ppdet.engine INFO: Epoch: [201] [440/523] learning_rate: 0.096679 loss_vfl: 0.801244 loss_bbox: 0.291957 loss_dfl: 0.189073 loss: 1.283878 eta: 1 day, 9:25:15 batch_cost: 2.3711 data_cost: 0.0020 ips: 23.6181 images/s [10/17 00:20:32] ppdet.engine INFO: Epoch: [201] [460/523] learning_rate: 0.096610 loss_vfl: 0.805710 loss_bbox: 0.285226 loss_dfl: 0.186124 loss: 1.280150 eta: 1 day, 9:24:30 batch_cost: 2.4820 data_cost: 0.0021 ips: 22.5625 images/s [10/17 00:21:22] ppdet.engine INFO: Epoch: [201] [480/523] learning_rate: 0.096542 loss_vfl: 0.798431 loss_bbox: 0.298634 loss_dfl: 0.193802 loss: 1.287812 eta: 1 day, 9:23:44 batch_cost: 2.4178 data_cost: 0.0016 ips: 23.1619 images/s [10/17 00:22:13] ppdet.engine INFO: Epoch: [201] [500/523] learning_rate: 0.096473 loss_vfl: 0.803042 loss_bbox: 0.267080 loss_dfl: 0.183201 loss: 1.268171 eta: 1 day, 9:22:57 batch_cost: 2.3858 data_cost: 0.0020 ips: 23.4726 images/s [10/17 00:22:57] ppdet.engine INFO: Epoch: [201] [520/523] learning_rate: 0.096405 loss_vfl: 0.796284 loss_bbox: 0.273634 loss_dfl: 0.181504 loss: 1.260159 eta: 1 day, 9:22:08 batch_cost: 2.1110 data_cost: 0.0013 ips: 26.5280 images/s [10/17 00:23:27] ppdet.engine INFO: Epoch: [202] [ 0/523] learning_rate: 0.096395 loss_vfl: 0.802031 loss_bbox: 0.268855 loss_dfl: 0.179059 loss: 1.258618 eta: 1 day, 9:22:10 batch_cost: 3.0338 data_cost: 0.7406 ips: 18.4588 images/s [10/17 00:24:21] ppdet.engine INFO: Epoch: [202] [ 20/523] learning_rate: 0.096326 loss_vfl: 0.794343 loss_bbox: 0.268384 loss_dfl: 0.184325 loss: 1.260849 eta: 1 day, 9:21:26 batch_cost: 2.6031 data_cost: 0.0033 ips: 21.5131 images/s [10/17 00:25:13] ppdet.engine INFO: Epoch: [202] [ 40/523] learning_rate: 0.096258 loss_vfl: 0.781442 loss_bbox: 0.281336 loss_dfl: 0.187021 loss: 1.263433 eta: 1 day, 9:20:40 batch_cost: 2.4797 data_cost: 0.0015 ips: 22.5831 images/s [10/17 00:26:04] ppdet.engine INFO: Epoch: [202] [ 60/523] learning_rate: 0.096189 loss_vfl: 0.788516 loss_bbox: 0.291285 loss_dfl: 0.187622 loss: 1.266847 eta: 1 day, 9:19:54 batch_cost: 2.4485 data_cost: 0.0013 ips: 22.8711 images/s [10/17 00:26:54] ppdet.engine INFO: Epoch: [202] [ 80/523] learning_rate: 0.096121 loss_vfl: 0.776712 loss_bbox: 0.285451 loss_dfl: 0.187372 loss: 1.264897 eta: 1 day, 9:19:08 batch_cost: 2.3938 data_cost: 0.0023 ips: 23.3937 images/s [10/17 00:27:44] ppdet.engine INFO: Epoch: [202] [100/523] learning_rate: 0.096052 loss_vfl: 0.796005 loss_bbox: 0.279614 loss_dfl: 0.185001 loss: 1.259358 eta: 1 day, 9:18:21 batch_cost: 2.3731 data_cost: 0.0022 ips: 23.5975 images/s [10/17 00:28:35] ppdet.engine INFO: Epoch: [202] [120/523] learning_rate: 0.095984 loss_vfl: 0.782426 loss_bbox: 0.280744 loss_dfl: 0.180849 loss: 1.245671 eta: 1 day, 9:17:35 batch_cost: 2.4345 data_cost: 0.0014 ips: 23.0025 images/s [10/17 00:29:26] ppdet.engine INFO: Epoch: [202] [140/523] learning_rate: 0.095915 loss_vfl: 0.787378 loss_bbox: 0.280424 loss_dfl: 0.193500 loss: 1.257817 eta: 1 day, 9:16:49 batch_cost: 2.4479 data_cost: 0.0021 ips: 22.8764 images/s [10/17 00:30:16] ppdet.engine INFO: Epoch: [202] [160/523] learning_rate: 0.095847 loss_vfl: 0.786964 loss_bbox: 0.286132 loss_dfl: 0.188661 loss: 1.257614 eta: 1 day, 9:16:03 batch_cost: 2.3588 data_cost: 0.0013 ips: 23.7411 images/s [10/17 00:31:07] ppdet.engine INFO: Epoch: [202] [180/523] learning_rate: 0.095779 loss_vfl: 0.797368 loss_bbox: 0.269201 loss_dfl: 0.181991 loss: 1.239452 eta: 1 day, 9:15:17 batch_cost: 2.4353 data_cost: 0.0032 ips: 22.9950 images/s [10/17 00:31:57] ppdet.engine INFO: Epoch: [202] [200/523] learning_rate: 0.095710 loss_vfl: 0.790653 loss_bbox: 0.282727 loss_dfl: 0.185354 loss: 1.257606 eta: 1 day, 9:14:30 batch_cost: 2.3878 data_cost: 0.0028 ips: 23.4524 images/s [10/17 00:32:46] ppdet.engine INFO: Epoch: [202] [220/523] learning_rate: 0.095642 loss_vfl: 0.803235 loss_bbox: 0.272347 loss_dfl: 0.183665 loss: 1.259056 eta: 1 day, 9:13:43 batch_cost: 2.3520 data_cost: 0.0017 ips: 23.8091 images/s [10/17 00:33:35] ppdet.engine INFO: Epoch: [202] [240/523] learning_rate: 0.095574 loss_vfl: 0.807958 loss_bbox: 0.263012 loss_dfl: 0.177974 loss: 1.241455 eta: 1 day, 9:12:57 batch_cost: 2.3635 data_cost: 0.0027 ips: 23.6938 images/s [10/17 00:34:25] ppdet.engine INFO: Epoch: [202] [260/523] learning_rate: 0.095505 loss_vfl: 0.802034 loss_bbox: 0.286295 loss_dfl: 0.188813 loss: 1.272381 eta: 1 day, 9:12:10 batch_cost: 2.3871 data_cost: 0.0013 ips: 23.4598 images/s [10/17 00:35:15] ppdet.engine INFO: Epoch: [202] [280/523] learning_rate: 0.095437 loss_vfl: 0.791323 loss_bbox: 0.275260 loss_dfl: 0.184432 loss: 1.275913 eta: 1 day, 9:11:24 batch_cost: 2.3589 data_cost: 0.0013 ips: 23.7398 images/s [10/17 00:36:05] ppdet.engine INFO: Epoch: [202] [300/523] learning_rate: 0.095369 loss_vfl: 0.782488 loss_bbox: 0.301957 loss_dfl: 0.199326 loss: 1.278273 eta: 1 day, 9:10:37 batch_cost: 2.4133 data_cost: 0.0015 ips: 23.2047 images/s [10/17 00:36:54] ppdet.engine INFO: Epoch: [202] [320/523] learning_rate: 0.095301 loss_vfl: 0.801769 loss_bbox: 0.288116 loss_dfl: 0.187037 loss: 1.272230 eta: 1 day, 9:09:51 batch_cost: 2.3542 data_cost: 0.0020 ips: 23.7877 images/s [10/17 00:37:44] ppdet.engine INFO: Epoch: [202] [340/523] learning_rate: 0.095232 loss_vfl: 0.790369 loss_bbox: 0.283157 loss_dfl: 0.190872 loss: 1.265918 eta: 1 day, 9:09:04 batch_cost: 2.3477 data_cost: 0.0047 ips: 23.8529 images/s [10/17 00:38:32] ppdet.engine INFO: Epoch: [202] [360/523] learning_rate: 0.095164 loss_vfl: 0.803963 loss_bbox: 0.300730 loss_dfl: 0.188831 loss: 1.279064 eta: 1 day, 9:08:17 batch_cost: 2.3257 data_cost: 0.0019 ips: 24.0784 images/s [10/17 00:39:22] ppdet.engine INFO: Epoch: [202] [380/523] learning_rate: 0.095096 loss_vfl: 0.803085 loss_bbox: 0.281739 loss_dfl: 0.189278 loss: 1.272201 eta: 1 day, 9:07:30 batch_cost: 2.4001 data_cost: 0.0029 ips: 23.3323 images/s [10/17 00:40:13] ppdet.engine INFO: Epoch: [202] [400/523] learning_rate: 0.095028 loss_vfl: 0.808348 loss_bbox: 0.304150 loss_dfl: 0.198083 loss: 1.300671 eta: 1 day, 9:06:44 batch_cost: 2.4228 data_cost: 0.0013 ips: 23.1140 images/s [10/17 00:41:04] ppdet.engine INFO: Epoch: [202] [420/523] learning_rate: 0.094960 loss_vfl: 0.802185 loss_bbox: 0.281986 loss_dfl: 0.186242 loss: 1.270950 eta: 1 day, 9:05:58 batch_cost: 2.4186 data_cost: 0.0015 ips: 23.1540 images/s [10/17 00:41:54] ppdet.engine INFO: Epoch: [202] [440/523] learning_rate: 0.094891 loss_vfl: 0.798406 loss_bbox: 0.275396 loss_dfl: 0.180681 loss: 1.253732 eta: 1 day, 9:05:12 batch_cost: 2.3925 data_cost: 0.0013 ips: 23.4065 images/s [10/17 00:42:43] ppdet.engine INFO: Epoch: [202] [460/523] learning_rate: 0.094823 loss_vfl: 0.805667 loss_bbox: 0.263736 loss_dfl: 0.172515 loss: 1.242197 eta: 1 day, 9:04:25 batch_cost: 2.3569 data_cost: 0.0013 ips: 23.7596 images/s [10/17 00:43:34] ppdet.engine INFO: Epoch: [202] [480/523] learning_rate: 0.094755 loss_vfl: 0.797813 loss_bbox: 0.270357 loss_dfl: 0.183057 loss: 1.240680 eta: 1 day, 9:03:39 batch_cost: 2.4264 data_cost: 0.0020 ips: 23.0790 images/s [10/17 00:44:25] ppdet.engine INFO: Epoch: [202] [500/523] learning_rate: 0.094687 loss_vfl: 0.786579 loss_bbox: 0.268967 loss_dfl: 0.180231 loss: 1.251957 eta: 1 day, 9:02:53 batch_cost: 2.4503 data_cost: 0.0019 ips: 22.8547 images/s [10/17 00:45:09] ppdet.engine INFO: Epoch: [202] [520/523] learning_rate: 0.094619 loss_vfl: 0.799440 loss_bbox: 0.262095 loss_dfl: 0.174267 loss: 1.238528 eta: 1 day, 9:02:03 batch_cost: 2.0684 data_cost: 0.0022 ips: 27.0744 images/s [10/17 00:45:38] ppdet.engine INFO: Epoch: [203] [ 0/523] learning_rate: 0.094609 loss_vfl: 0.799440 loss_bbox: 0.259626 loss_dfl: 0.174267 loss: 1.236203 eta: 1 day, 9:02:05 batch_cost: 3.0400 data_cost: 0.4144 ips: 18.4213 images/s [10/17 00:46:30] ppdet.engine INFO: Epoch: [203] [ 20/523] learning_rate: 0.094541 loss_vfl: 0.786392 loss_bbox: 0.294820 loss_dfl: 0.195608 loss: 1.272925 eta: 1 day, 9:01:19 batch_cost: 2.4267 data_cost: 0.0033 ips: 23.0768 images/s [10/17 00:47:21] ppdet.engine INFO: Epoch: [203] [ 40/523] learning_rate: 0.094473 loss_vfl: 0.799157 loss_bbox: 0.277809 loss_dfl: 0.182727 loss: 1.258645 eta: 1 day, 9:00:33 batch_cost: 2.4288 data_cost: 0.0020 ips: 23.0571 images/s [10/17 00:48:11] ppdet.engine INFO: Epoch: [203] [ 60/523] learning_rate: 0.094405 loss_vfl: 0.808431 loss_bbox: 0.273104 loss_dfl: 0.179445 loss: 1.260806 eta: 1 day, 8:59:47 batch_cost: 2.3731 data_cost: 0.0024 ips: 23.5980 images/s [10/17 00:49:01] ppdet.engine INFO: Epoch: [203] [ 80/523] learning_rate: 0.094337 loss_vfl: 0.786192 loss_bbox: 0.291898 loss_dfl: 0.192499 loss: 1.269097 eta: 1 day, 8:59:00 batch_cost: 2.4078 data_cost: 0.0015 ips: 23.2580 images/s [10/17 00:49:52] ppdet.engine INFO: Epoch: [203] [100/523] learning_rate: 0.094269 loss_vfl: 0.795737 loss_bbox: 0.273352 loss_dfl: 0.187989 loss: 1.266011 eta: 1 day, 8:58:14 batch_cost: 2.4033 data_cost: 0.0013 ips: 23.3010 images/s [10/17 00:50:41] ppdet.engine INFO: Epoch: [203] [120/523] learning_rate: 0.094201 loss_vfl: 0.787107 loss_bbox: 0.280932 loss_dfl: 0.187627 loss: 1.261697 eta: 1 day, 8:57:27 batch_cost: 2.3432 data_cost: 0.0013 ips: 23.8985 images/s [10/17 00:51:30] ppdet.engine INFO: Epoch: [203] [140/523] learning_rate: 0.094133 loss_vfl: 0.779323 loss_bbox: 0.276445 loss_dfl: 0.187410 loss: 1.264733 eta: 1 day, 8:56:40 batch_cost: 2.3514 data_cost: 0.0025 ips: 23.8156 images/s [10/17 00:52:20] ppdet.engine INFO: Epoch: [203] [160/523] learning_rate: 0.094065 loss_vfl: 0.785254 loss_bbox: 0.285780 loss_dfl: 0.191918 loss: 1.268043 eta: 1 day, 8:55:54 batch_cost: 2.3618 data_cost: 0.0013 ips: 23.7107 images/s [10/17 00:53:10] ppdet.engine INFO: Epoch: [203] [180/523] learning_rate: 0.093997 loss_vfl: 0.813363 loss_bbox: 0.260307 loss_dfl: 0.174108 loss: 1.235080 eta: 1 day, 8:55:07 batch_cost: 2.4085 data_cost: 0.0013 ips: 23.2509 images/s [10/17 00:53:59] ppdet.engine INFO: Epoch: [203] [200/523] learning_rate: 0.093929 loss_vfl: 0.780007 loss_bbox: 0.259889 loss_dfl: 0.187332 loss: 1.248458 eta: 1 day, 8:54:20 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9651 images/s [10/17 00:54:48] ppdet.engine INFO: Epoch: [203] [220/523] learning_rate: 0.093861 loss_vfl: 0.796005 loss_bbox: 0.287803 loss_dfl: 0.193749 loss: 1.265221 eta: 1 day, 8:53:33 batch_cost: 2.3381 data_cost: 0.0019 ips: 23.9516 images/s [10/17 00:55:37] ppdet.engine INFO: Epoch: [203] [240/523] learning_rate: 0.093793 loss_vfl: 0.788219 loss_bbox: 0.269069 loss_dfl: 0.178577 loss: 1.240331 eta: 1 day, 8:52:46 batch_cost: 2.3379 data_cost: 0.0022 ips: 23.9527 images/s [10/17 00:56:30] ppdet.engine INFO: Epoch: [203] [260/523] learning_rate: 0.093725 loss_vfl: 0.784701 loss_bbox: 0.284336 loss_dfl: 0.192835 loss: 1.267328 eta: 1 day, 8:52:01 batch_cost: 2.5297 data_cost: 0.0037 ips: 22.1374 images/s [10/17 00:57:20] ppdet.engine INFO: Epoch: [203] [280/523] learning_rate: 0.093658 loss_vfl: 0.781900 loss_bbox: 0.291802 loss_dfl: 0.186028 loss: 1.258482 eta: 1 day, 8:51:15 batch_cost: 2.3854 data_cost: 0.0013 ips: 23.4763 images/s [10/17 00:58:09] ppdet.engine INFO: Epoch: [203] [300/523] learning_rate: 0.093590 loss_vfl: 0.803844 loss_bbox: 0.277766 loss_dfl: 0.183690 loss: 1.279531 eta: 1 day, 8:50:28 batch_cost: 2.3777 data_cost: 0.0019 ips: 23.5521 images/s [10/17 00:58:58] ppdet.engine INFO: Epoch: [203] [320/523] learning_rate: 0.093522 loss_vfl: 0.790754 loss_bbox: 0.265634 loss_dfl: 0.183179 loss: 1.260200 eta: 1 day, 8:49:41 batch_cost: 2.3334 data_cost: 0.0014 ips: 23.9991 images/s [10/17 00:59:47] ppdet.engine INFO: Epoch: [203] [340/523] learning_rate: 0.093454 loss_vfl: 0.821557 loss_bbox: 0.281123 loss_dfl: 0.187214 loss: 1.292106 eta: 1 day, 8:48:54 batch_cost: 2.3357 data_cost: 0.0013 ips: 23.9758 images/s [10/17 01:00:37] ppdet.engine INFO: Epoch: [203] [360/523] learning_rate: 0.093386 loss_vfl: 0.800420 loss_bbox: 0.261849 loss_dfl: 0.175248 loss: 1.254100 eta: 1 day, 8:48:08 batch_cost: 2.3595 data_cost: 0.0023 ips: 23.7337 images/s [10/17 01:01:25] ppdet.engine INFO: Epoch: [203] [380/523] learning_rate: 0.093319 loss_vfl: 0.797592 loss_bbox: 0.268944 loss_dfl: 0.180122 loss: 1.238711 eta: 1 day, 8:47:21 batch_cost: 2.3367 data_cost: 0.0013 ips: 23.9659 images/s [10/17 01:02:16] ppdet.engine INFO: Epoch: [203] [400/523] learning_rate: 0.093251 loss_vfl: 0.801489 loss_bbox: 0.278650 loss_dfl: 0.187476 loss: 1.275759 eta: 1 day, 8:46:34 batch_cost: 2.4152 data_cost: 0.0013 ips: 23.1869 images/s [10/17 01:03:06] ppdet.engine INFO: Epoch: [203] [420/523] learning_rate: 0.093183 loss_vfl: 0.806402 loss_bbox: 0.253527 loss_dfl: 0.181907 loss: 1.257459 eta: 1 day, 8:45:48 batch_cost: 2.4066 data_cost: 0.0014 ips: 23.2697 images/s [10/17 01:03:57] ppdet.engine INFO: Epoch: [203] [440/523] learning_rate: 0.093115 loss_vfl: 0.792144 loss_bbox: 0.278808 loss_dfl: 0.185507 loss: 1.262604 eta: 1 day, 8:45:02 batch_cost: 2.4194 data_cost: 0.0014 ips: 23.1465 images/s [10/17 01:04:47] ppdet.engine INFO: Epoch: [203] [460/523] learning_rate: 0.093048 loss_vfl: 0.791289 loss_bbox: 0.261281 loss_dfl: 0.175432 loss: 1.237520 eta: 1 day, 8:44:15 batch_cost: 2.3737 data_cost: 0.0018 ips: 23.5921 images/s [10/17 01:05:37] ppdet.engine INFO: Epoch: [203] [480/523] learning_rate: 0.092980 loss_vfl: 0.802300 loss_bbox: 0.280012 loss_dfl: 0.192141 loss: 1.278853 eta: 1 day, 8:43:29 batch_cost: 2.3921 data_cost: 0.0013 ips: 23.4107 images/s [10/17 01:06:26] ppdet.engine INFO: Epoch: [203] [500/523] learning_rate: 0.092912 loss_vfl: 0.800662 loss_bbox: 0.270025 loss_dfl: 0.180807 loss: 1.270330 eta: 1 day, 8:42:42 batch_cost: 2.3573 data_cost: 0.0019 ips: 23.7564 images/s [10/17 01:07:09] ppdet.engine INFO: Epoch: [203] [520/523] learning_rate: 0.092845 loss_vfl: 0.791082 loss_bbox: 0.266436 loss_dfl: 0.176012 loss: 1.235563 eta: 1 day, 8:41:52 batch_cost: 2.0548 data_cost: 0.0013 ips: 27.2537 images/s [10/17 01:07:39] ppdet.engine INFO: Epoch: [204] [ 0/523] learning_rate: 0.092835 loss_vfl: 0.791778 loss_bbox: 0.266436 loss_dfl: 0.182767 loss: 1.251043 eta: 1 day, 8:41:55 batch_cost: 3.0280 data_cost: 0.7026 ips: 18.4942 images/s [10/17 01:08:33] ppdet.engine INFO: Epoch: [204] [ 20/523] learning_rate: 0.092767 loss_vfl: 0.781153 loss_bbox: 0.279133 loss_dfl: 0.189323 loss: 1.249737 eta: 1 day, 8:41:10 batch_cost: 2.5854 data_cost: 0.0014 ips: 21.6601 images/s [10/17 01:09:24] ppdet.engine INFO: Epoch: [204] [ 40/523] learning_rate: 0.092699 loss_vfl: 0.777964 loss_bbox: 0.278226 loss_dfl: 0.178039 loss: 1.230863 eta: 1 day, 8:40:24 batch_cost: 2.4515 data_cost: 0.0013 ips: 22.8429 images/s [10/17 01:10:14] ppdet.engine INFO: Epoch: [204] [ 60/523] learning_rate: 0.092632 loss_vfl: 0.795096 loss_bbox: 0.252404 loss_dfl: 0.175314 loss: 1.233655 eta: 1 day, 8:39:37 batch_cost: 2.3577 data_cost: 0.0013 ips: 23.7519 images/s [10/17 01:11:03] ppdet.engine INFO: Epoch: [204] [ 80/523] learning_rate: 0.092564 loss_vfl: 0.782907 loss_bbox: 0.285353 loss_dfl: 0.186629 loss: 1.249759 eta: 1 day, 8:38:51 batch_cost: 2.3656 data_cost: 0.0013 ips: 23.6726 images/s [10/17 01:11:52] ppdet.engine INFO: Epoch: [204] [100/523] learning_rate: 0.092497 loss_vfl: 0.798717 loss_bbox: 0.293292 loss_dfl: 0.194798 loss: 1.283376 eta: 1 day, 8:38:03 batch_cost: 2.3093 data_cost: 0.0030 ips: 24.2502 images/s [10/17 01:12:42] ppdet.engine INFO: Epoch: [204] [120/523] learning_rate: 0.092429 loss_vfl: 0.786131 loss_bbox: 0.263275 loss_dfl: 0.175158 loss: 1.227686 eta: 1 day, 8:37:17 batch_cost: 2.3939 data_cost: 0.0025 ips: 23.3930 images/s [10/17 01:13:33] ppdet.engine INFO: Epoch: [204] [140/523] learning_rate: 0.092362 loss_vfl: 0.804342 loss_bbox: 0.274064 loss_dfl: 0.187112 loss: 1.263231 eta: 1 day, 8:36:31 batch_cost: 2.4553 data_cost: 0.0022 ips: 22.8076 images/s [10/17 01:14:23] ppdet.engine INFO: Epoch: [204] [160/523] learning_rate: 0.092294 loss_vfl: 0.790787 loss_bbox: 0.279924 loss_dfl: 0.193379 loss: 1.257237 eta: 1 day, 8:35:44 batch_cost: 2.3784 data_cost: 0.0013 ips: 23.5455 images/s [10/17 01:15:14] ppdet.engine INFO: Epoch: [204] [180/523] learning_rate: 0.092227 loss_vfl: 0.792034 loss_bbox: 0.285186 loss_dfl: 0.187142 loss: 1.274469 eta: 1 day, 8:34:58 batch_cost: 2.4115 data_cost: 0.0022 ips: 23.2220 images/s [10/17 01:16:03] ppdet.engine INFO: Epoch: [204] [200/523] learning_rate: 0.092159 loss_vfl: 0.800666 loss_bbox: 0.273476 loss_dfl: 0.188543 loss: 1.272263 eta: 1 day, 8:34:11 batch_cost: 2.3517 data_cost: 0.0013 ips: 23.8121 images/s [10/17 01:16:53] ppdet.engine INFO: Epoch: [204] [220/523] learning_rate: 0.092092 loss_vfl: 0.786895 loss_bbox: 0.277653 loss_dfl: 0.185053 loss: 1.254116 eta: 1 day, 8:33:25 batch_cost: 2.3849 data_cost: 0.0025 ips: 23.4812 images/s [10/17 01:17:43] ppdet.engine INFO: Epoch: [204] [240/523] learning_rate: 0.092024 loss_vfl: 0.781252 loss_bbox: 0.275101 loss_dfl: 0.188811 loss: 1.246279 eta: 1 day, 8:32:38 batch_cost: 2.3950 data_cost: 0.0014 ips: 23.3821 images/s [10/17 01:18:34] ppdet.engine INFO: Epoch: [204] [260/523] learning_rate: 0.091957 loss_vfl: 0.796571 loss_bbox: 0.259188 loss_dfl: 0.183186 loss: 1.250302 eta: 1 day, 8:31:52 batch_cost: 2.3930 data_cost: 0.0025 ips: 23.4015 images/s [10/17 01:19:23] ppdet.engine INFO: Epoch: [204] [280/523] learning_rate: 0.091890 loss_vfl: 0.794766 loss_bbox: 0.283680 loss_dfl: 0.198650 loss: 1.264690 eta: 1 day, 8:31:05 batch_cost: 2.3689 data_cost: 0.0013 ips: 23.6396 images/s [10/17 01:20:13] ppdet.engine INFO: Epoch: [204] [300/523] learning_rate: 0.091822 loss_vfl: 0.786839 loss_bbox: 0.268114 loss_dfl: 0.186858 loss: 1.266196 eta: 1 day, 8:30:19 batch_cost: 2.3913 data_cost: 0.0013 ips: 23.4179 images/s [10/17 01:21:03] ppdet.engine INFO: Epoch: [204] [320/523] learning_rate: 0.091755 loss_vfl: 0.781893 loss_bbox: 0.263453 loss_dfl: 0.188964 loss: 1.257665 eta: 1 day, 8:29:32 batch_cost: 2.3760 data_cost: 0.0015 ips: 23.5686 images/s [10/17 01:21:52] ppdet.engine INFO: Epoch: [204] [340/523] learning_rate: 0.091688 loss_vfl: 0.797717 loss_bbox: 0.282039 loss_dfl: 0.193934 loss: 1.281630 eta: 1 day, 8:28:45 batch_cost: 2.3524 data_cost: 0.0026 ips: 23.8053 images/s [10/17 01:22:42] ppdet.engine INFO: Epoch: [204] [360/523] learning_rate: 0.091620 loss_vfl: 0.786219 loss_bbox: 0.283730 loss_dfl: 0.187120 loss: 1.250876 eta: 1 day, 8:27:59 batch_cost: 2.3808 data_cost: 0.0013 ips: 23.5214 images/s [10/17 01:23:33] ppdet.engine INFO: Epoch: [204] [380/523] learning_rate: 0.091553 loss_vfl: 0.782523 loss_bbox: 0.279386 loss_dfl: 0.187690 loss: 1.244997 eta: 1 day, 8:27:13 batch_cost: 2.4381 data_cost: 0.0013 ips: 22.9691 images/s [10/17 01:24:23] ppdet.engine INFO: Epoch: [204] [400/523] learning_rate: 0.091486 loss_vfl: 0.815806 loss_bbox: 0.278434 loss_dfl: 0.185671 loss: 1.267110 eta: 1 day, 8:26:26 batch_cost: 2.3720 data_cost: 0.0013 ips: 23.6090 images/s [10/17 01:25:12] ppdet.engine INFO: Epoch: [204] [420/523] learning_rate: 0.091418 loss_vfl: 0.793878 loss_bbox: 0.285972 loss_dfl: 0.190429 loss: 1.268559 eta: 1 day, 8:25:40 batch_cost: 2.3820 data_cost: 0.0013 ips: 23.5097 images/s [10/17 01:26:02] ppdet.engine INFO: Epoch: [204] [440/523] learning_rate: 0.091351 loss_vfl: 0.800765 loss_bbox: 0.263607 loss_dfl: 0.179224 loss: 1.222555 eta: 1 day, 8:24:53 batch_cost: 2.3664 data_cost: 0.0016 ips: 23.6647 images/s [10/17 01:26:50] ppdet.engine INFO: Epoch: [204] [460/523] learning_rate: 0.091284 loss_vfl: 0.800748 loss_bbox: 0.264289 loss_dfl: 0.181931 loss: 1.261490 eta: 1 day, 8:24:06 batch_cost: 2.3045 data_cost: 0.0013 ips: 24.3005 images/s [10/17 01:27:39] ppdet.engine INFO: Epoch: [204] [480/523] learning_rate: 0.091217 loss_vfl: 0.783039 loss_bbox: 0.262257 loss_dfl: 0.173801 loss: 1.221413 eta: 1 day, 8:23:19 batch_cost: 2.3307 data_cost: 0.0013 ips: 24.0272 images/s [10/17 01:28:30] ppdet.engine INFO: Epoch: [204] [500/523] learning_rate: 0.091149 loss_vfl: 0.810397 loss_bbox: 0.264151 loss_dfl: 0.181244 loss: 1.274951 eta: 1 day, 8:22:33 batch_cost: 2.4265 data_cost: 0.0013 ips: 23.0783 images/s [10/17 01:29:13] ppdet.engine INFO: Epoch: [204] [520/523] learning_rate: 0.091082 loss_vfl: 0.786930 loss_bbox: 0.267099 loss_dfl: 0.177642 loss: 1.231392 eta: 1 day, 8:21:43 batch_cost: 2.0491 data_cost: 0.0013 ips: 27.3297 images/s [10/17 01:29:43] ppdet.engine INFO: Epoch: [205] [ 0/523] learning_rate: 0.091072 loss_vfl: 0.791697 loss_bbox: 0.267099 loss_dfl: 0.175804 loss: 1.236673 eta: 1 day, 8:21:45 batch_cost: 3.0421 data_cost: 0.8494 ips: 18.4086 images/s [10/17 01:30:34] ppdet.engine INFO: Epoch: [205] [ 20/523] learning_rate: 0.091005 loss_vfl: 0.791830 loss_bbox: 0.284807 loss_dfl: 0.187561 loss: 1.286497 eta: 1 day, 8:20:58 batch_cost: 2.3821 data_cost: 0.0015 ips: 23.5092 images/s [10/17 01:31:26] ppdet.engine INFO: Epoch: [205] [ 40/523] learning_rate: 0.090938 loss_vfl: 0.799130 loss_bbox: 0.271094 loss_dfl: 0.185085 loss: 1.276774 eta: 1 day, 8:20:13 batch_cost: 2.4767 data_cost: 0.0013 ips: 22.6109 images/s [10/17 01:32:19] ppdet.engine INFO: Epoch: [205] [ 60/523] learning_rate: 0.090871 loss_vfl: 0.797168 loss_bbox: 0.267860 loss_dfl: 0.181071 loss: 1.237357 eta: 1 day, 8:19:28 batch_cost: 2.5207 data_cost: 0.0013 ips: 22.2162 images/s [10/17 01:33:08] ppdet.engine INFO: Epoch: [205] [ 80/523] learning_rate: 0.090804 loss_vfl: 0.794278 loss_bbox: 0.281537 loss_dfl: 0.190174 loss: 1.280264 eta: 1 day, 8:18:41 batch_cost: 2.3639 data_cost: 0.0014 ips: 23.6895 images/s [10/17 01:33:58] ppdet.engine INFO: Epoch: [205] [100/523] learning_rate: 0.090737 loss_vfl: 0.783115 loss_bbox: 0.291482 loss_dfl: 0.188635 loss: 1.247690 eta: 1 day, 8:17:54 batch_cost: 2.3569 data_cost: 0.0013 ips: 23.7599 images/s [10/17 01:34:47] ppdet.engine INFO: Epoch: [205] [120/523] learning_rate: 0.090669 loss_vfl: 0.819471 loss_bbox: 0.273272 loss_dfl: 0.186409 loss: 1.280926 eta: 1 day, 8:17:07 batch_cost: 2.3350 data_cost: 0.0016 ips: 23.9831 images/s [10/17 01:35:35] ppdet.engine INFO: Epoch: [205] [140/523] learning_rate: 0.090602 loss_vfl: 0.802813 loss_bbox: 0.288514 loss_dfl: 0.184788 loss: 1.258393 eta: 1 day, 8:16:20 batch_cost: 2.3295 data_cost: 0.0024 ips: 24.0392 images/s [10/17 01:36:25] ppdet.engine INFO: Epoch: [205] [160/523] learning_rate: 0.090535 loss_vfl: 0.795350 loss_bbox: 0.276038 loss_dfl: 0.187167 loss: 1.275324 eta: 1 day, 8:15:33 batch_cost: 2.3837 data_cost: 0.0014 ips: 23.4932 images/s [10/17 01:37:13] ppdet.engine INFO: Epoch: [205] [180/523] learning_rate: 0.090468 loss_vfl: 0.810245 loss_bbox: 0.260280 loss_dfl: 0.171401 loss: 1.233477 eta: 1 day, 8:14:46 batch_cost: 2.2958 data_cost: 0.0030 ips: 24.3920 images/s [10/17 01:38:03] ppdet.engine INFO: Epoch: [205] [200/523] learning_rate: 0.090401 loss_vfl: 0.799369 loss_bbox: 0.262123 loss_dfl: 0.175332 loss: 1.227372 eta: 1 day, 8:13:59 batch_cost: 2.3621 data_cost: 0.0025 ips: 23.7080 images/s [10/17 01:38:53] ppdet.engine INFO: Epoch: [205] [220/523] learning_rate: 0.090334 loss_vfl: 0.805739 loss_bbox: 0.272343 loss_dfl: 0.183925 loss: 1.246250 eta: 1 day, 8:13:13 batch_cost: 2.3715 data_cost: 0.0013 ips: 23.6137 images/s [10/17 01:39:42] ppdet.engine INFO: Epoch: [205] [240/523] learning_rate: 0.090267 loss_vfl: 0.806583 loss_bbox: 0.261517 loss_dfl: 0.182125 loss: 1.271802 eta: 1 day, 8:12:26 batch_cost: 2.3835 data_cost: 0.0013 ips: 23.4953 images/s [10/17 01:40:33] ppdet.engine INFO: Epoch: [205] [260/523] learning_rate: 0.090200 loss_vfl: 0.809286 loss_bbox: 0.293549 loss_dfl: 0.197247 loss: 1.300517 eta: 1 day, 8:11:40 batch_cost: 2.4111 data_cost: 0.0022 ips: 23.2259 images/s [10/17 01:41:23] ppdet.engine INFO: Epoch: [205] [280/523] learning_rate: 0.090134 loss_vfl: 0.781944 loss_bbox: 0.262696 loss_dfl: 0.176830 loss: 1.246194 eta: 1 day, 8:10:54 batch_cost: 2.4194 data_cost: 0.0024 ips: 23.1462 images/s [10/17 01:42:13] ppdet.engine INFO: Epoch: [205] [300/523] learning_rate: 0.090067 loss_vfl: 0.793648 loss_bbox: 0.292553 loss_dfl: 0.190132 loss: 1.266403 eta: 1 day, 8:10:07 batch_cost: 2.3833 data_cost: 0.0013 ips: 23.4968 images/s [10/17 01:43:02] ppdet.engine INFO: Epoch: [205] [320/523] learning_rate: 0.090000 loss_vfl: 0.792765 loss_bbox: 0.275919 loss_dfl: 0.186166 loss: 1.239902 eta: 1 day, 8:09:20 batch_cost: 2.3418 data_cost: 0.0013 ips: 23.9130 images/s [10/17 01:43:51] ppdet.engine INFO: Epoch: [205] [340/523] learning_rate: 0.089933 loss_vfl: 0.782765 loss_bbox: 0.276849 loss_dfl: 0.185859 loss: 1.245334 eta: 1 day, 8:08:33 batch_cost: 2.3208 data_cost: 0.0013 ips: 24.1299 images/s [10/17 01:44:40] ppdet.engine INFO: Epoch: [205] [360/523] learning_rate: 0.089866 loss_vfl: 0.801850 loss_bbox: 0.283680 loss_dfl: 0.183831 loss: 1.279186 eta: 1 day, 8:07:46 batch_cost: 2.3639 data_cost: 0.0012 ips: 23.6901 images/s [10/17 01:45:29] ppdet.engine INFO: Epoch: [205] [380/523] learning_rate: 0.089799 loss_vfl: 0.787687 loss_bbox: 0.266502 loss_dfl: 0.185225 loss: 1.236043 eta: 1 day, 8:06:59 batch_cost: 2.3336 data_cost: 0.0021 ips: 23.9976 images/s [10/17 01:46:18] ppdet.engine INFO: Epoch: [205] [400/523] learning_rate: 0.089732 loss_vfl: 0.788474 loss_bbox: 0.290324 loss_dfl: 0.191870 loss: 1.268926 eta: 1 day, 8:06:13 batch_cost: 2.3607 data_cost: 0.0038 ips: 23.7220 images/s [10/17 01:47:09] ppdet.engine INFO: Epoch: [205] [420/523] learning_rate: 0.089665 loss_vfl: 0.785842 loss_bbox: 0.267365 loss_dfl: 0.180206 loss: 1.231875 eta: 1 day, 8:05:26 batch_cost: 2.4232 data_cost: 0.0013 ips: 23.1102 images/s [10/17 01:47:59] ppdet.engine INFO: Epoch: [205] [440/523] learning_rate: 0.089599 loss_vfl: 0.804406 loss_bbox: 0.282357 loss_dfl: 0.189089 loss: 1.272557 eta: 1 day, 8:04:40 batch_cost: 2.3778 data_cost: 0.0013 ips: 23.5516 images/s [10/17 01:48:49] ppdet.engine INFO: Epoch: [205] [460/523] learning_rate: 0.089532 loss_vfl: 0.796602 loss_bbox: 0.275841 loss_dfl: 0.188103 loss: 1.259629 eta: 1 day, 8:03:54 batch_cost: 2.4165 data_cost: 0.0031 ips: 23.1740 images/s [10/17 01:49:40] ppdet.engine INFO: Epoch: [205] [480/523] learning_rate: 0.089465 loss_vfl: 0.798948 loss_bbox: 0.296998 loss_dfl: 0.196382 loss: 1.285611 eta: 1 day, 8:03:08 batch_cost: 2.4526 data_cost: 0.0027 ips: 22.8327 images/s [10/17 01:50:30] ppdet.engine INFO: Epoch: [205] [500/523] learning_rate: 0.089398 loss_vfl: 0.801489 loss_bbox: 0.290831 loss_dfl: 0.192017 loss: 1.293747 eta: 1 day, 8:02:21 batch_cost: 2.3828 data_cost: 0.0014 ips: 23.5014 images/s [10/17 01:51:13] ppdet.engine INFO: Epoch: [205] [520/523] learning_rate: 0.089332 loss_vfl: 0.775369 loss_bbox: 0.267348 loss_dfl: 0.182060 loss: 1.236201 eta: 1 day, 8:01:31 batch_cost: 2.0257 data_cost: 0.0026 ips: 27.6445 images/s [10/17 01:51:42] ppdet.engine INFO: Epoch: [206] [ 0/523] learning_rate: 0.089322 loss_vfl: 0.770202 loss_bbox: 0.272435 loss_dfl: 0.182060 loss: 1.226412 eta: 1 day, 8:01:32 batch_cost: 2.8774 data_cost: 0.7075 ips: 19.4620 images/s [10/17 01:52:34] ppdet.engine INFO: Epoch: [206] [ 20/523] learning_rate: 0.089255 loss_vfl: 0.779034 loss_bbox: 0.274585 loss_dfl: 0.188440 loss: 1.241808 eta: 1 day, 8:00:46 batch_cost: 2.4721 data_cost: 0.0015 ips: 22.6524 images/s [10/17 01:53:24] ppdet.engine INFO: Epoch: [206] [ 40/523] learning_rate: 0.089188 loss_vfl: 0.774190 loss_bbox: 0.261454 loss_dfl: 0.176631 loss: 1.230597 eta: 1 day, 8:00:00 batch_cost: 2.4325 data_cost: 0.0019 ips: 23.0220 images/s [10/17 01:54:14] ppdet.engine INFO: Epoch: [206] [ 60/523] learning_rate: 0.089122 loss_vfl: 0.769748 loss_bbox: 0.286602 loss_dfl: 0.185063 loss: 1.240460 eta: 1 day, 7:59:13 batch_cost: 2.3450 data_cost: 0.0016 ips: 23.8808 images/s [10/17 01:55:02] ppdet.engine INFO: Epoch: [206] [ 80/523] learning_rate: 0.089055 loss_vfl: 0.784683 loss_bbox: 0.292366 loss_dfl: 0.190436 loss: 1.280400 eta: 1 day, 7:58:26 batch_cost: 2.3343 data_cost: 0.0015 ips: 23.9896 images/s [10/17 01:55:52] ppdet.engine INFO: Epoch: [206] [100/523] learning_rate: 0.088988 loss_vfl: 0.777582 loss_bbox: 0.257246 loss_dfl: 0.176223 loss: 1.227178 eta: 1 day, 7:57:40 batch_cost: 2.3675 data_cost: 0.0016 ips: 23.6533 images/s [10/17 01:56:41] ppdet.engine INFO: Epoch: [206] [120/523] learning_rate: 0.088922 loss_vfl: 0.793457 loss_bbox: 0.269753 loss_dfl: 0.189669 loss: 1.261958 eta: 1 day, 7:56:53 batch_cost: 2.3519 data_cost: 0.0013 ips: 23.8106 images/s [10/17 01:57:30] ppdet.engine INFO: Epoch: [206] [140/523] learning_rate: 0.088855 loss_vfl: 0.783350 loss_bbox: 0.265094 loss_dfl: 0.183820 loss: 1.241634 eta: 1 day, 7:56:06 batch_cost: 2.3197 data_cost: 0.0014 ips: 24.1408 images/s [10/17 01:58:19] ppdet.engine INFO: Epoch: [206] [160/523] learning_rate: 0.088789 loss_vfl: 0.785443 loss_bbox: 0.287714 loss_dfl: 0.186587 loss: 1.248725 eta: 1 day, 7:55:19 batch_cost: 2.3501 data_cost: 0.0015 ips: 23.8285 images/s [10/17 01:59:09] ppdet.engine INFO: Epoch: [206] [180/523] learning_rate: 0.088722 loss_vfl: 0.809209 loss_bbox: 0.273571 loss_dfl: 0.180556 loss: 1.266161 eta: 1 day, 7:54:32 batch_cost: 2.4074 data_cost: 0.0029 ips: 23.2620 images/s [10/17 01:59:58] ppdet.engine INFO: Epoch: [206] [200/523] learning_rate: 0.088655 loss_vfl: 0.803354 loss_bbox: 0.281289 loss_dfl: 0.192478 loss: 1.268705 eta: 1 day, 7:53:45 batch_cost: 2.3392 data_cost: 0.0022 ips: 23.9402 images/s [10/17 02:00:46] ppdet.engine INFO: Epoch: [206] [220/523] learning_rate: 0.088589 loss_vfl: 0.792010 loss_bbox: 0.264447 loss_dfl: 0.181317 loss: 1.243131 eta: 1 day, 7:52:58 batch_cost: 2.3097 data_cost: 0.0025 ips: 24.2453 images/s [10/17 02:01:33] ppdet.engine INFO: Epoch: [206] [240/523] learning_rate: 0.088522 loss_vfl: 0.793776 loss_bbox: 0.281169 loss_dfl: 0.186145 loss: 1.267505 eta: 1 day, 7:52:10 batch_cost: 2.2418 data_cost: 0.0014 ips: 24.9798 images/s [10/17 02:02:23] ppdet.engine INFO: Epoch: [206] [260/523] learning_rate: 0.088456 loss_vfl: 0.793526 loss_bbox: 0.302055 loss_dfl: 0.191556 loss: 1.246987 eta: 1 day, 7:51:24 batch_cost: 2.3484 data_cost: 0.0020 ips: 23.8461 images/s [10/17 02:03:12] ppdet.engine INFO: Epoch: [206] [280/523] learning_rate: 0.088389 loss_vfl: 0.800461 loss_bbox: 0.282770 loss_dfl: 0.183468 loss: 1.263474 eta: 1 day, 7:50:37 batch_cost: 2.3851 data_cost: 0.0020 ips: 23.4796 images/s [10/17 02:04:02] ppdet.engine INFO: Epoch: [206] [300/523] learning_rate: 0.088323 loss_vfl: 0.807504 loss_bbox: 0.294518 loss_dfl: 0.197656 loss: 1.302212 eta: 1 day, 7:49:50 batch_cost: 2.3846 data_cost: 0.0013 ips: 23.4844 images/s [10/17 02:04:51] ppdet.engine INFO: Epoch: [206] [320/523] learning_rate: 0.088257 loss_vfl: 0.777813 loss_bbox: 0.285423 loss_dfl: 0.185308 loss: 1.258743 eta: 1 day, 7:49:03 batch_cost: 2.3060 data_cost: 0.0014 ips: 24.2842 images/s [10/17 02:05:40] ppdet.engine INFO: Epoch: [206] [340/523] learning_rate: 0.088190 loss_vfl: 0.805256 loss_bbox: 0.262097 loss_dfl: 0.176797 loss: 1.251319 eta: 1 day, 7:48:16 batch_cost: 2.3602 data_cost: 0.0013 ips: 23.7266 images/s [10/17 02:06:32] ppdet.engine INFO: Epoch: [206] [360/523] learning_rate: 0.088124 loss_vfl: 0.798430 loss_bbox: 0.274189 loss_dfl: 0.185440 loss: 1.250392 eta: 1 day, 7:47:31 batch_cost: 2.4563 data_cost: 0.0013 ips: 22.7982 images/s [10/17 02:07:26] ppdet.engine INFO: Epoch: [206] [380/523] learning_rate: 0.088057 loss_vfl: 0.779455 loss_bbox: 0.286380 loss_dfl: 0.184869 loss: 1.279059 eta: 1 day, 7:46:46 batch_cost: 2.5931 data_cost: 0.0021 ips: 21.5955 images/s [10/17 02:08:16] ppdet.engine INFO: Epoch: [206] [400/523] learning_rate: 0.087991 loss_vfl: 0.785068 loss_bbox: 0.284711 loss_dfl: 0.190727 loss: 1.278748 eta: 1 day, 7:46:00 batch_cost: 2.4194 data_cost: 0.0012 ips: 23.1466 images/s [10/17 02:09:05] ppdet.engine INFO: Epoch: [206] [420/523] learning_rate: 0.087925 loss_vfl: 0.785118 loss_bbox: 0.265982 loss_dfl: 0.180006 loss: 1.235489 eta: 1 day, 7:45:13 batch_cost: 2.3220 data_cost: 0.0012 ips: 24.1171 images/s [10/17 02:09:54] ppdet.engine INFO: Epoch: [206] [440/523] learning_rate: 0.087858 loss_vfl: 0.786768 loss_bbox: 0.287212 loss_dfl: 0.188298 loss: 1.258279 eta: 1 day, 7:44:26 batch_cost: 2.3428 data_cost: 0.0020 ips: 23.9029 images/s [10/17 02:10:44] ppdet.engine INFO: Epoch: [206] [460/523] learning_rate: 0.087792 loss_vfl: 0.800980 loss_bbox: 0.286569 loss_dfl: 0.196081 loss: 1.278854 eta: 1 day, 7:43:39 batch_cost: 2.4227 data_cost: 0.0013 ips: 23.1143 images/s [10/17 02:11:33] ppdet.engine INFO: Epoch: [206] [480/523] learning_rate: 0.087726 loss_vfl: 0.791237 loss_bbox: 0.286734 loss_dfl: 0.189943 loss: 1.269181 eta: 1 day, 7:42:52 batch_cost: 2.3271 data_cost: 0.0013 ips: 24.0641 images/s [10/17 02:12:22] ppdet.engine INFO: Epoch: [206] [500/523] learning_rate: 0.087660 loss_vfl: 0.786052 loss_bbox: 0.289274 loss_dfl: 0.190490 loss: 1.267913 eta: 1 day, 7:42:05 batch_cost: 2.3476 data_cost: 0.0013 ips: 23.8542 images/s [10/17 02:13:06] ppdet.engine INFO: Epoch: [206] [520/523] learning_rate: 0.087593 loss_vfl: 0.786844 loss_bbox: 0.267323 loss_dfl: 0.190435 loss: 1.251991 eta: 1 day, 7:41:16 batch_cost: 2.0995 data_cost: 0.0013 ips: 26.6732 images/s [10/17 02:13:33] ppdet.engine INFO: Epoch: [207] [ 0/523] learning_rate: 0.087583 loss_vfl: 0.788548 loss_bbox: 0.268601 loss_dfl: 0.189690 loss: 1.258705 eta: 1 day, 7:41:16 batch_cost: 2.8735 data_cost: 0.5619 ips: 19.4883 images/s [10/17 02:14:28] ppdet.engine INFO: Epoch: [207] [ 20/523] learning_rate: 0.087517 loss_vfl: 0.788830 loss_bbox: 0.270672 loss_dfl: 0.177546 loss: 1.235956 eta: 1 day, 7:40:32 batch_cost: 2.6770 data_cost: 0.0013 ips: 20.9192 images/s [10/17 02:15:17] ppdet.engine INFO: Epoch: [207] [ 40/523] learning_rate: 0.087451 loss_vfl: 0.789809 loss_bbox: 0.287735 loss_dfl: 0.181667 loss: 1.267724 eta: 1 day, 7:39:45 batch_cost: 2.3314 data_cost: 0.0013 ips: 24.0202 images/s [10/17 02:16:06] ppdet.engine INFO: Epoch: [207] [ 60/523] learning_rate: 0.087385 loss_vfl: 0.776114 loss_bbox: 0.255894 loss_dfl: 0.177138 loss: 1.223823 eta: 1 day, 7:38:58 batch_cost: 2.2966 data_cost: 0.0013 ips: 24.3842 images/s [10/17 02:16:55] ppdet.engine INFO: Epoch: [207] [ 80/523] learning_rate: 0.087318 loss_vfl: 0.777747 loss_bbox: 0.279424 loss_dfl: 0.185492 loss: 1.246485 eta: 1 day, 7:38:11 batch_cost: 2.3813 data_cost: 0.0014 ips: 23.5161 images/s [10/17 02:17:44] ppdet.engine INFO: Epoch: [207] [100/523] learning_rate: 0.087252 loss_vfl: 0.782836 loss_bbox: 0.277295 loss_dfl: 0.189390 loss: 1.261027 eta: 1 day, 7:37:24 batch_cost: 2.3194 data_cost: 0.0013 ips: 24.1439 images/s [10/17 02:18:32] ppdet.engine INFO: Epoch: [207] [120/523] learning_rate: 0.087186 loss_vfl: 0.797171 loss_bbox: 0.275079 loss_dfl: 0.183666 loss: 1.276509 eta: 1 day, 7:36:37 batch_cost: 2.3116 data_cost: 0.0013 ips: 24.2252 images/s [10/17 02:19:21] ppdet.engine INFO: Epoch: [207] [140/523] learning_rate: 0.087120 loss_vfl: 0.788716 loss_bbox: 0.277621 loss_dfl: 0.192137 loss: 1.243945 eta: 1 day, 7:35:50 batch_cost: 2.3394 data_cost: 0.0013 ips: 23.9381 images/s [10/17 02:20:10] ppdet.engine INFO: Epoch: [207] [160/523] learning_rate: 0.087054 loss_vfl: 0.787290 loss_bbox: 0.289305 loss_dfl: 0.188466 loss: 1.267754 eta: 1 day, 7:35:03 batch_cost: 2.3303 data_cost: 0.0026 ips: 24.0316 images/s [10/17 02:20:58] ppdet.engine INFO: Epoch: [207] [180/523] learning_rate: 0.086988 loss_vfl: 0.796823 loss_bbox: 0.256303 loss_dfl: 0.180884 loss: 1.241652 eta: 1 day, 7:34:16 batch_cost: 2.3124 data_cost: 0.0013 ips: 24.2176 images/s [10/17 02:21:47] ppdet.engine INFO: Epoch: [207] [200/523] learning_rate: 0.086922 loss_vfl: 0.794344 loss_bbox: 0.289189 loss_dfl: 0.189847 loss: 1.290728 eta: 1 day, 7:33:29 batch_cost: 2.3340 data_cost: 0.0012 ips: 23.9932 images/s [10/17 02:22:36] ppdet.engine INFO: Epoch: [207] [220/523] learning_rate: 0.086856 loss_vfl: 0.807232 loss_bbox: 0.276673 loss_dfl: 0.180961 loss: 1.268907 eta: 1 day, 7:32:42 batch_cost: 2.3449 data_cost: 0.0013 ips: 23.8811 images/s [10/17 02:23:26] ppdet.engine INFO: Epoch: [207] [240/523] learning_rate: 0.086790 loss_vfl: 0.781407 loss_bbox: 0.268489 loss_dfl: 0.184442 loss: 1.240819 eta: 1 day, 7:31:55 batch_cost: 2.3765 data_cost: 0.0013 ips: 23.5642 images/s [10/17 02:24:14] ppdet.engine INFO: Epoch: [207] [260/523] learning_rate: 0.086724 loss_vfl: 0.785152 loss_bbox: 0.280601 loss_dfl: 0.192101 loss: 1.254151 eta: 1 day, 7:31:08 batch_cost: 2.3106 data_cost: 0.0012 ips: 24.2363 images/s [10/17 02:25:04] ppdet.engine INFO: Epoch: [207] [280/523] learning_rate: 0.086658 loss_vfl: 0.781439 loss_bbox: 0.296850 loss_dfl: 0.192910 loss: 1.278256 eta: 1 day, 7:30:21 batch_cost: 2.3838 data_cost: 0.0013 ips: 23.4923 images/s [10/17 02:25:53] ppdet.engine INFO: Epoch: [207] [300/523] learning_rate: 0.086592 loss_vfl: 0.779886 loss_bbox: 0.278877 loss_dfl: 0.181633 loss: 1.236598 eta: 1 day, 7:29:35 batch_cost: 2.3787 data_cost: 0.0013 ips: 23.5418 images/s [10/17 02:26:42] ppdet.engine INFO: Epoch: [207] [320/523] learning_rate: 0.086526 loss_vfl: 0.796072 loss_bbox: 0.293062 loss_dfl: 0.187342 loss: 1.273876 eta: 1 day, 7:28:48 batch_cost: 2.3484 data_cost: 0.0013 ips: 23.8462 images/s [10/17 02:27:32] ppdet.engine INFO: Epoch: [207] [340/523] learning_rate: 0.086460 loss_vfl: 0.789537 loss_bbox: 0.293768 loss_dfl: 0.194397 loss: 1.261600 eta: 1 day, 7:28:01 batch_cost: 2.3614 data_cost: 0.0014 ips: 23.7150 images/s [10/17 02:28:20] ppdet.engine INFO: Epoch: [207] [360/523] learning_rate: 0.086394 loss_vfl: 0.794398 loss_bbox: 0.302698 loss_dfl: 0.192980 loss: 1.272776 eta: 1 day, 7:27:14 batch_cost: 2.3155 data_cost: 0.0032 ips: 24.1844 images/s [10/17 02:29:09] ppdet.engine INFO: Epoch: [207] [380/523] learning_rate: 0.086328 loss_vfl: 0.793202 loss_bbox: 0.275516 loss_dfl: 0.183887 loss: 1.265083 eta: 1 day, 7:26:27 batch_cost: 2.3297 data_cost: 0.0013 ips: 24.0370 images/s [10/17 02:29:59] ppdet.engine INFO: Epoch: [207] [400/523] learning_rate: 0.086262 loss_vfl: 0.769278 loss_bbox: 0.279860 loss_dfl: 0.184074 loss: 1.233835 eta: 1 day, 7:25:41 batch_cost: 2.3908 data_cost: 0.0014 ips: 23.4231 images/s [10/17 02:30:48] ppdet.engine INFO: Epoch: [207] [420/523] learning_rate: 0.086196 loss_vfl: 0.772817 loss_bbox: 0.261372 loss_dfl: 0.174900 loss: 1.211745 eta: 1 day, 7:24:54 batch_cost: 2.3684 data_cost: 0.0013 ips: 23.6443 images/s [10/17 02:31:38] ppdet.engine INFO: Epoch: [207] [440/523] learning_rate: 0.086130 loss_vfl: 0.807279 loss_bbox: 0.274025 loss_dfl: 0.183900 loss: 1.259774 eta: 1 day, 7:24:08 batch_cost: 2.4199 data_cost: 0.0013 ips: 23.1411 images/s [10/17 02:32:29] ppdet.engine INFO: Epoch: [207] [460/523] learning_rate: 0.086065 loss_vfl: 0.792622 loss_bbox: 0.293405 loss_dfl: 0.191228 loss: 1.267200 eta: 1 day, 7:23:21 batch_cost: 2.4233 data_cost: 0.0014 ips: 23.1088 images/s [10/17 02:33:18] ppdet.engine INFO: Epoch: [207] [480/523] learning_rate: 0.085999 loss_vfl: 0.788863 loss_bbox: 0.281015 loss_dfl: 0.186290 loss: 1.259243 eta: 1 day, 7:22:34 batch_cost: 2.3232 data_cost: 0.0021 ips: 24.1048 images/s [10/17 02:34:08] ppdet.engine INFO: Epoch: [207] [500/523] learning_rate: 0.085933 loss_vfl: 0.794502 loss_bbox: 0.280455 loss_dfl: 0.188395 loss: 1.266415 eta: 1 day, 7:21:48 batch_cost: 2.3858 data_cost: 0.0019 ips: 23.4721 images/s [10/17 02:34:53] ppdet.engine INFO: Epoch: [207] [520/523] learning_rate: 0.085867 loss_vfl: 0.783220 loss_bbox: 0.279531 loss_dfl: 0.183758 loss: 1.232903 eta: 1 day, 7:20:59 batch_cost: 2.1844 data_cost: 0.0038 ips: 25.6359 images/s [10/17 02:35:24] ppdet.engine INFO: Epoch: [208] [ 0/523] learning_rate: 0.085857 loss_vfl: 0.784155 loss_bbox: 0.281622 loss_dfl: 0.183758 loss: 1.234580 eta: 1 day, 7:21:01 batch_cost: 3.1578 data_cost: 0.6794 ips: 17.7338 images/s [10/17 02:36:17] ppdet.engine INFO: Epoch: [208] [ 20/523] learning_rate: 0.085792 loss_vfl: 0.785363 loss_bbox: 0.276589 loss_dfl: 0.183982 loss: 1.241976 eta: 1 day, 7:20:16 batch_cost: 2.5152 data_cost: 0.0016 ips: 22.2643 images/s [10/17 02:37:08] ppdet.engine INFO: Epoch: [208] [ 40/523] learning_rate: 0.085726 loss_vfl: 0.790547 loss_bbox: 0.282479 loss_dfl: 0.182159 loss: 1.256772 eta: 1 day, 7:19:29 batch_cost: 2.4222 data_cost: 0.0030 ips: 23.1191 images/s [10/17 02:37:57] ppdet.engine INFO: Epoch: [208] [ 60/523] learning_rate: 0.085660 loss_vfl: 0.791165 loss_bbox: 0.289259 loss_dfl: 0.188897 loss: 1.255848 eta: 1 day, 7:18:42 batch_cost: 2.3340 data_cost: 0.0020 ips: 23.9928 images/s [10/17 02:38:46] ppdet.engine INFO: Epoch: [208] [ 80/523] learning_rate: 0.085594 loss_vfl: 0.789196 loss_bbox: 0.285805 loss_dfl: 0.189977 loss: 1.254449 eta: 1 day, 7:17:56 batch_cost: 2.3571 data_cost: 0.0017 ips: 23.7577 images/s [10/17 02:39:36] ppdet.engine INFO: Epoch: [208] [100/523] learning_rate: 0.085529 loss_vfl: 0.795528 loss_bbox: 0.276568 loss_dfl: 0.182742 loss: 1.222191 eta: 1 day, 7:17:09 batch_cost: 2.3774 data_cost: 0.0015 ips: 23.5548 images/s [10/17 02:40:25] ppdet.engine INFO: Epoch: [208] [120/523] learning_rate: 0.085463 loss_vfl: 0.775878 loss_bbox: 0.287670 loss_dfl: 0.191382 loss: 1.251457 eta: 1 day, 7:16:22 batch_cost: 2.3379 data_cost: 0.0014 ips: 23.9533 images/s [10/17 02:41:13] ppdet.engine INFO: Epoch: [208] [140/523] learning_rate: 0.085397 loss_vfl: 0.801069 loss_bbox: 0.276601 loss_dfl: 0.185846 loss: 1.279500 eta: 1 day, 7:15:35 batch_cost: 2.3119 data_cost: 0.0014 ips: 24.2230 images/s [10/17 02:42:03] ppdet.engine INFO: Epoch: [208] [160/523] learning_rate: 0.085332 loss_vfl: 0.790300 loss_bbox: 0.302874 loss_dfl: 0.195079 loss: 1.269179 eta: 1 day, 7:14:48 batch_cost: 2.3663 data_cost: 0.0013 ips: 23.6661 images/s [10/17 02:42:55] ppdet.engine INFO: Epoch: [208] [180/523] learning_rate: 0.085266 loss_vfl: 0.796401 loss_bbox: 0.282993 loss_dfl: 0.188409 loss: 1.268586 eta: 1 day, 7:14:03 batch_cost: 2.5077 data_cost: 0.0026 ips: 22.3311 images/s [10/17 02:43:45] ppdet.engine INFO: Epoch: [208] [200/523] learning_rate: 0.085201 loss_vfl: 0.784581 loss_bbox: 0.275695 loss_dfl: 0.177628 loss: 1.238864 eta: 1 day, 7:13:16 batch_cost: 2.3822 data_cost: 0.0028 ips: 23.5080 images/s [10/17 02:44:34] ppdet.engine INFO: Epoch: [208] [220/523] learning_rate: 0.085135 loss_vfl: 0.786758 loss_bbox: 0.275604 loss_dfl: 0.182273 loss: 1.250987 eta: 1 day, 7:12:29 batch_cost: 2.3436 data_cost: 0.0013 ips: 23.8951 images/s [10/17 02:45:23] ppdet.engine INFO: Epoch: [208] [240/523] learning_rate: 0.085069 loss_vfl: 0.778702 loss_bbox: 0.283367 loss_dfl: 0.183412 loss: 1.240627 eta: 1 day, 7:11:42 batch_cost: 2.3221 data_cost: 0.0014 ips: 24.1160 images/s [10/17 02:46:11] ppdet.engine INFO: Epoch: [208] [260/523] learning_rate: 0.085004 loss_vfl: 0.790032 loss_bbox: 0.266743 loss_dfl: 0.180642 loss: 1.242309 eta: 1 day, 7:10:55 batch_cost: 2.2992 data_cost: 0.0013 ips: 24.3559 images/s [10/17 02:46:59] ppdet.engine INFO: Epoch: [208] [280/523] learning_rate: 0.084938 loss_vfl: 0.781070 loss_bbox: 0.255843 loss_dfl: 0.180277 loss: 1.221921 eta: 1 day, 7:10:07 batch_cost: 2.2665 data_cost: 0.0012 ips: 24.7078 images/s [10/17 02:47:47] ppdet.engine INFO: Epoch: [208] [300/523] learning_rate: 0.084873 loss_vfl: 0.783566 loss_bbox: 0.267241 loss_dfl: 0.176979 loss: 1.233693 eta: 1 day, 7:09:20 batch_cost: 2.2981 data_cost: 0.0014 ips: 24.3684 images/s [10/17 02:48:34] ppdet.engine INFO: Epoch: [208] [320/523] learning_rate: 0.084807 loss_vfl: 0.786017 loss_bbox: 0.273440 loss_dfl: 0.181020 loss: 1.261282 eta: 1 day, 7:08:32 batch_cost: 2.2838 data_cost: 0.0012 ips: 24.5201 images/s [10/17 02:49:22] ppdet.engine INFO: Epoch: [208] [340/523] learning_rate: 0.084742 loss_vfl: 0.777198 loss_bbox: 0.272809 loss_dfl: 0.179559 loss: 1.236267 eta: 1 day, 7:07:45 batch_cost: 2.2729 data_cost: 0.0019 ips: 24.6378 images/s [10/17 02:50:10] ppdet.engine INFO: Epoch: [208] [360/523] learning_rate: 0.084676 loss_vfl: 0.772170 loss_bbox: 0.289812 loss_dfl: 0.185403 loss: 1.259569 eta: 1 day, 7:06:57 batch_cost: 2.2744 data_cost: 0.0012 ips: 24.6220 images/s [10/17 02:50:58] ppdet.engine INFO: Epoch: [208] [380/523] learning_rate: 0.084611 loss_vfl: 0.803086 loss_bbox: 0.279019 loss_dfl: 0.183049 loss: 1.267993 eta: 1 day, 7:06:10 batch_cost: 2.3171 data_cost: 0.0012 ips: 24.1684 images/s [10/17 02:51:47] ppdet.engine INFO: Epoch: [208] [400/523] learning_rate: 0.084546 loss_vfl: 0.797417 loss_bbox: 0.281350 loss_dfl: 0.190496 loss: 1.278157 eta: 1 day, 7:05:23 batch_cost: 2.3414 data_cost: 0.0012 ips: 23.9176 images/s [10/17 02:52:36] ppdet.engine INFO: Epoch: [208] [420/523] learning_rate: 0.084480 loss_vfl: 0.791479 loss_bbox: 0.281137 loss_dfl: 0.184440 loss: 1.276021 eta: 1 day, 7:04:36 batch_cost: 2.3476 data_cost: 0.0012 ips: 23.8546 images/s [10/17 02:53:26] ppdet.engine INFO: Epoch: [208] [440/523] learning_rate: 0.084415 loss_vfl: 0.788931 loss_bbox: 0.292104 loss_dfl: 0.192694 loss: 1.278375 eta: 1 day, 7:03:49 batch_cost: 2.3539 data_cost: 0.0020 ips: 23.7899 images/s [10/17 02:54:14] ppdet.engine INFO: Epoch: [208] [460/523] learning_rate: 0.084350 loss_vfl: 0.798822 loss_bbox: 0.284889 loss_dfl: 0.188802 loss: 1.272659 eta: 1 day, 7:03:02 batch_cost: 2.3180 data_cost: 0.0012 ips: 24.1588 images/s [10/17 02:55:02] ppdet.engine INFO: Epoch: [208] [480/523] learning_rate: 0.084284 loss_vfl: 0.797104 loss_bbox: 0.281655 loss_dfl: 0.189069 loss: 1.267832 eta: 1 day, 7:02:15 batch_cost: 2.3052 data_cost: 0.0012 ips: 24.2933 images/s [10/17 02:55:51] ppdet.engine INFO: Epoch: [208] [500/523] learning_rate: 0.084219 loss_vfl: 0.783808 loss_bbox: 0.295229 loss_dfl: 0.196333 loss: 1.271673 eta: 1 day, 7:01:28 batch_cost: 2.3238 data_cost: 0.0012 ips: 24.0985 images/s [10/17 02:56:33] ppdet.engine INFO: Epoch: [208] [520/523] learning_rate: 0.084154 loss_vfl: 0.764472 loss_bbox: 0.256990 loss_dfl: 0.186495 loss: 1.220066 eta: 1 day, 7:00:38 batch_cost: 2.0192 data_cost: 0.0012 ips: 27.7332 images/s [10/17 02:57:03] ppdet.engine INFO: Epoch: [209] [ 0/523] learning_rate: 0.084144 loss_vfl: 0.770789 loss_bbox: 0.260894 loss_dfl: 0.186495 loss: 1.225951 eta: 1 day, 7:00:39 batch_cost: 2.9384 data_cost: 0.6208 ips: 19.0581 images/s [10/17 02:57:56] ppdet.engine INFO: Epoch: [209] [ 20/523] learning_rate: 0.084078 loss_vfl: 0.780445 loss_bbox: 0.272141 loss_dfl: 0.179333 loss: 1.247191 eta: 1 day, 6:59:54 batch_cost: 2.5261 data_cost: 0.0014 ips: 22.1688 images/s [10/17 02:58:45] ppdet.engine INFO: Epoch: [209] [ 40/523] learning_rate: 0.084013 loss_vfl: 0.789389 loss_bbox: 0.293929 loss_dfl: 0.186903 loss: 1.264613 eta: 1 day, 6:59:07 batch_cost: 2.3554 data_cost: 0.0013 ips: 23.7753 images/s [10/17 02:59:35] ppdet.engine INFO: Epoch: [209] [ 60/523] learning_rate: 0.083948 loss_vfl: 0.799786 loss_bbox: 0.270597 loss_dfl: 0.185482 loss: 1.261546 eta: 1 day, 6:58:20 batch_cost: 2.3835 data_cost: 0.0013 ips: 23.4951 images/s [10/17 03:00:23] ppdet.engine INFO: Epoch: [209] [ 80/523] learning_rate: 0.083883 loss_vfl: 0.776022 loss_bbox: 0.271637 loss_dfl: 0.184937 loss: 1.244448 eta: 1 day, 6:57:33 batch_cost: 2.3047 data_cost: 0.0013 ips: 24.2984 images/s [10/17 03:01:12] ppdet.engine INFO: Epoch: [209] [100/523] learning_rate: 0.083818 loss_vfl: 0.784503 loss_bbox: 0.261200 loss_dfl: 0.176696 loss: 1.247587 eta: 1 day, 6:56:46 batch_cost: 2.3417 data_cost: 0.0027 ips: 23.9143 images/s [10/17 03:02:02] ppdet.engine INFO: Epoch: [209] [120/523] learning_rate: 0.083752 loss_vfl: 0.792699 loss_bbox: 0.291203 loss_dfl: 0.190271 loss: 1.281632 eta: 1 day, 6:55:59 batch_cost: 2.3720 data_cost: 0.0022 ips: 23.6089 images/s [10/17 03:02:49] ppdet.engine INFO: Epoch: [209] [140/523] learning_rate: 0.083687 loss_vfl: 0.780083 loss_bbox: 0.273755 loss_dfl: 0.185512 loss: 1.232437 eta: 1 day, 6:55:12 batch_cost: 2.2551 data_cost: 0.0012 ips: 24.8329 images/s [10/17 03:03:37] ppdet.engine INFO: Epoch: [209] [160/523] learning_rate: 0.083622 loss_vfl: 0.809544 loss_bbox: 0.248270 loss_dfl: 0.174984 loss: 1.228082 eta: 1 day, 6:54:24 batch_cost: 2.2802 data_cost: 0.0012 ips: 24.5589 images/s [10/17 03:04:27] ppdet.engine INFO: Epoch: [209] [180/523] learning_rate: 0.083557 loss_vfl: 0.784687 loss_bbox: 0.273515 loss_dfl: 0.179846 loss: 1.241825 eta: 1 day, 6:53:37 batch_cost: 2.3688 data_cost: 0.0013 ips: 23.6406 images/s [10/17 03:05:16] ppdet.engine INFO: Epoch: [209] [200/523] learning_rate: 0.083492 loss_vfl: 0.778464 loss_bbox: 0.298449 loss_dfl: 0.196242 loss: 1.260044 eta: 1 day, 6:52:51 batch_cost: 2.3879 data_cost: 0.0013 ips: 23.4511 images/s [10/17 03:06:06] ppdet.engine INFO: Epoch: [209] [220/523] learning_rate: 0.083427 loss_vfl: 0.773812 loss_bbox: 0.274447 loss_dfl: 0.185728 loss: 1.240395 eta: 1 day, 6:52:04 batch_cost: 2.3689 data_cost: 0.0013 ips: 23.6401 images/s [10/17 03:06:55] ppdet.engine INFO: Epoch: [209] [240/523] learning_rate: 0.083362 loss_vfl: 0.794161 loss_bbox: 0.280816 loss_dfl: 0.190575 loss: 1.251248 eta: 1 day, 6:51:17 batch_cost: 2.3390 data_cost: 0.0013 ips: 23.9419 images/s [10/17 03:07:44] ppdet.engine INFO: Epoch: [209] [260/523] learning_rate: 0.083297 loss_vfl: 0.773409 loss_bbox: 0.285471 loss_dfl: 0.189635 loss: 1.243761 eta: 1 day, 6:50:30 batch_cost: 2.3315 data_cost: 0.0021 ips: 24.0192 images/s [10/17 03:08:33] ppdet.engine INFO: Epoch: [209] [280/523] learning_rate: 0.083232 loss_vfl: 0.800931 loss_bbox: 0.284611 loss_dfl: 0.184248 loss: 1.257475 eta: 1 day, 6:49:43 batch_cost: 2.3840 data_cost: 0.0012 ips: 23.4902 images/s [10/17 03:09:22] ppdet.engine INFO: Epoch: [209] [300/523] learning_rate: 0.083167 loss_vfl: 0.799163 loss_bbox: 0.276032 loss_dfl: 0.186041 loss: 1.263357 eta: 1 day, 6:48:56 batch_cost: 2.3122 data_cost: 0.0024 ips: 24.2190 images/s [10/17 03:10:11] ppdet.engine INFO: Epoch: [209] [320/523] learning_rate: 0.083102 loss_vfl: 0.798100 loss_bbox: 0.278197 loss_dfl: 0.178884 loss: 1.255103 eta: 1 day, 6:48:09 batch_cost: 2.3218 data_cost: 0.0013 ips: 24.1193 images/s [10/17 03:10:59] ppdet.engine INFO: Epoch: [209] [340/523] learning_rate: 0.083037 loss_vfl: 0.782298 loss_bbox: 0.281994 loss_dfl: 0.190079 loss: 1.247624 eta: 1 day, 6:47:22 batch_cost: 2.2929 data_cost: 0.0012 ips: 24.4236 images/s [10/17 03:11:47] ppdet.engine INFO: Epoch: [209] [360/523] learning_rate: 0.082972 loss_vfl: 0.792888 loss_bbox: 0.278327 loss_dfl: 0.182790 loss: 1.248241 eta: 1 day, 6:46:35 batch_cost: 2.3196 data_cost: 0.0013 ips: 24.1419 images/s [10/17 03:12:36] ppdet.engine INFO: Epoch: [209] [380/523] learning_rate: 0.082907 loss_vfl: 0.790872 loss_bbox: 0.273446 loss_dfl: 0.181161 loss: 1.244651 eta: 1 day, 6:45:48 batch_cost: 2.3261 data_cost: 0.0019 ips: 24.0743 images/s [10/17 03:13:25] ppdet.engine INFO: Epoch: [209] [400/523] learning_rate: 0.082842 loss_vfl: 0.785041 loss_bbox: 0.286142 loss_dfl: 0.187951 loss: 1.258244 eta: 1 day, 6:45:00 batch_cost: 2.3258 data_cost: 0.0013 ips: 24.0778 images/s [10/17 03:14:13] ppdet.engine INFO: Epoch: [209] [420/523] learning_rate: 0.082777 loss_vfl: 0.798795 loss_bbox: 0.279035 loss_dfl: 0.190946 loss: 1.292694 eta: 1 day, 6:44:13 batch_cost: 2.3089 data_cost: 0.0013 ips: 24.2542 images/s [10/17 03:15:02] ppdet.engine INFO: Epoch: [209] [440/523] learning_rate: 0.082712 loss_vfl: 0.802690 loss_bbox: 0.257344 loss_dfl: 0.177104 loss: 1.242330 eta: 1 day, 6:43:26 batch_cost: 2.3354 data_cost: 0.0013 ips: 23.9788 images/s [10/17 03:15:51] ppdet.engine INFO: Epoch: [209] [460/523] learning_rate: 0.082647 loss_vfl: 0.779316 loss_bbox: 0.272054 loss_dfl: 0.177537 loss: 1.231332 eta: 1 day, 6:42:39 batch_cost: 2.3475 data_cost: 0.0020 ips: 23.8555 images/s [10/17 03:16:39] ppdet.engine INFO: Epoch: [209] [480/523] learning_rate: 0.082582 loss_vfl: 0.786233 loss_bbox: 0.271416 loss_dfl: 0.186463 loss: 1.250226 eta: 1 day, 6:41:52 batch_cost: 2.2672 data_cost: 0.0014 ips: 24.6996 images/s [10/17 03:17:29] ppdet.engine INFO: Epoch: [209] [500/523] learning_rate: 0.082517 loss_vfl: 0.801862 loss_bbox: 0.279358 loss_dfl: 0.188492 loss: 1.280703 eta: 1 day, 6:41:05 batch_cost: 2.3609 data_cost: 0.0031 ips: 23.7196 images/s [10/17 03:18:14] ppdet.engine INFO: Epoch: [209] [520/523] learning_rate: 0.082453 loss_vfl: 0.802235 loss_bbox: 0.276712 loss_dfl: 0.181344 loss: 1.243107 eta: 1 day, 6:40:16 batch_cost: 2.1530 data_cost: 0.0022 ips: 26.0099 images/s [10/17 03:18:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 03:18:24] ppdet.engine INFO: Eval iter: 0 [10/17 03:19:01] ppdet.engine INFO: Eval iter: 100 [10/17 03:19:20] ppdet.engine INFO: Eval iter: 200 [10/17 03:19:41] ppdet.engine INFO: Eval iter: 300 [10/17 03:20:02] ppdet.engine INFO: Eval iter: 400 [10/17 03:20:22] ppdet.engine INFO: Eval iter: 500 [10/17 03:20:42] ppdet.engine INFO: Eval iter: 600 [10/17 03:21:03] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.72s) creating index... index created! [10/17 03:21:04] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.65s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.54s). Accumulating evaluation results... DONE (t=19.14s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.356 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.514 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.377 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 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 ] = 0.563 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.303 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.515 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.242 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.747 [10/17 03:23:11] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.24902843553107 [10/17 03:23:11] ppdet.engine INFO: Best test bbox ap is 0.360. [10/17 03:23:13] ppdet.engine INFO: Epoch: [210] [ 0/523] learning_rate: 0.082443 loss_vfl: 0.804145 loss_bbox: 0.276712 loss_dfl: 0.182721 loss: 1.243107 eta: 1 day, 6:40:09 batch_cost: 2.0753 data_cost: 0.0023 ips: 26.9837 images/s [10/17 03:24:06] ppdet.engine INFO: Epoch: [210] [ 20/523] learning_rate: 0.082378 loss_vfl: 0.786006 loss_bbox: 0.296967 loss_dfl: 0.191710 loss: 1.283348 eta: 1 day, 6:39:23 batch_cost: 2.4945 data_cost: 0.0024 ips: 22.4494 images/s [10/17 03:24:57] ppdet.engine INFO: Epoch: [210] [ 40/523] learning_rate: 0.082313 loss_vfl: 0.784499 loss_bbox: 0.274563 loss_dfl: 0.185728 loss: 1.229637 eta: 1 day, 6:38:37 batch_cost: 2.4319 data_cost: 0.0027 ips: 23.0274 images/s [10/17 03:25:47] ppdet.engine INFO: Epoch: [210] [ 60/523] learning_rate: 0.082249 loss_vfl: 0.780656 loss_bbox: 0.263501 loss_dfl: 0.176394 loss: 1.215355 eta: 1 day, 6:37:51 batch_cost: 2.4344 data_cost: 0.0014 ips: 23.0041 images/s [10/17 03:26:37] ppdet.engine INFO: Epoch: [210] [ 80/523] learning_rate: 0.082184 loss_vfl: 0.767651 loss_bbox: 0.281351 loss_dfl: 0.184831 loss: 1.245907 eta: 1 day, 6:37:04 batch_cost: 2.3864 data_cost: 0.0028 ips: 23.4659 images/s [10/17 03:27:27] ppdet.engine INFO: Epoch: [210] [100/523] learning_rate: 0.082119 loss_vfl: 0.789736 loss_bbox: 0.258549 loss_dfl: 0.173736 loss: 1.222813 eta: 1 day, 6:36:18 batch_cost: 2.3756 data_cost: 0.0020 ips: 23.5733 images/s [10/17 03:28:19] ppdet.engine INFO: Epoch: [210] [120/523] learning_rate: 0.082055 loss_vfl: 0.777484 loss_bbox: 0.259843 loss_dfl: 0.179949 loss: 1.217507 eta: 1 day, 6:35:32 batch_cost: 2.4778 data_cost: 0.0013 ips: 22.6009 images/s [10/17 03:29:07] ppdet.engine INFO: Epoch: [210] [140/523] learning_rate: 0.081990 loss_vfl: 0.769708 loss_bbox: 0.276416 loss_dfl: 0.185246 loss: 1.225749 eta: 1 day, 6:34:45 batch_cost: 2.3120 data_cost: 0.0012 ips: 24.2217 images/s [10/17 03:29:57] ppdet.engine INFO: Epoch: [210] [160/523] learning_rate: 0.081925 loss_vfl: 0.774453 loss_bbox: 0.283737 loss_dfl: 0.190449 loss: 1.255498 eta: 1 day, 6:33:58 batch_cost: 2.3544 data_cost: 0.0015 ips: 23.7848 images/s [10/17 03:30:46] ppdet.engine INFO: Epoch: [210] [180/523] learning_rate: 0.081861 loss_vfl: 0.801349 loss_bbox: 0.287398 loss_dfl: 0.190043 loss: 1.262457 eta: 1 day, 6:33:11 batch_cost: 2.3708 data_cost: 0.0020 ips: 23.6208 images/s [10/17 03:31:35] ppdet.engine INFO: Epoch: [210] [200/523] learning_rate: 0.081796 loss_vfl: 0.788154 loss_bbox: 0.294384 loss_dfl: 0.199582 loss: 1.270660 eta: 1 day, 6:32:24 batch_cost: 2.3477 data_cost: 0.0013 ips: 23.8534 images/s [10/17 03:32:26] ppdet.engine INFO: Epoch: [210] [220/523] learning_rate: 0.081731 loss_vfl: 0.803940 loss_bbox: 0.282495 loss_dfl: 0.182356 loss: 1.270686 eta: 1 day, 6:31:38 batch_cost: 2.4285 data_cost: 0.0019 ips: 23.0592 images/s [10/17 03:33:15] ppdet.engine INFO: Epoch: [210] [240/523] learning_rate: 0.081667 loss_vfl: 0.794421 loss_bbox: 0.276759 loss_dfl: 0.184342 loss: 1.258741 eta: 1 day, 6:30:51 batch_cost: 2.3586 data_cost: 0.0014 ips: 23.7428 images/s [10/17 03:34:04] ppdet.engine INFO: Epoch: [210] [260/523] learning_rate: 0.081602 loss_vfl: 0.792074 loss_bbox: 0.261744 loss_dfl: 0.177390 loss: 1.224388 eta: 1 day, 6:30:04 batch_cost: 2.3324 data_cost: 0.0023 ips: 24.0093 images/s [10/17 03:34:54] ppdet.engine INFO: Epoch: [210] [280/523] learning_rate: 0.081538 loss_vfl: 0.786838 loss_bbox: 0.249408 loss_dfl: 0.170742 loss: 1.212647 eta: 1 day, 6:29:17 batch_cost: 2.3748 data_cost: 0.0013 ips: 23.5808 images/s [10/17 03:35:42] ppdet.engine INFO: Epoch: [210] [300/523] learning_rate: 0.081473 loss_vfl: 0.800978 loss_bbox: 0.265325 loss_dfl: 0.184693 loss: 1.250578 eta: 1 day, 6:28:30 batch_cost: 2.3035 data_cost: 0.0013 ips: 24.3104 images/s [10/17 03:36:32] ppdet.engine INFO: Epoch: [210] [320/523] learning_rate: 0.081409 loss_vfl: 0.783890 loss_bbox: 0.283048 loss_dfl: 0.186574 loss: 1.273666 eta: 1 day, 6:27:44 batch_cost: 2.3955 data_cost: 0.0023 ips: 23.3771 images/s [10/17 03:37:23] ppdet.engine INFO: Epoch: [210] [340/523] learning_rate: 0.081344 loss_vfl: 0.793046 loss_bbox: 0.284638 loss_dfl: 0.183758 loss: 1.248000 eta: 1 day, 6:26:57 batch_cost: 2.4270 data_cost: 0.0019 ips: 23.0740 images/s [10/17 03:38:12] ppdet.engine INFO: Epoch: [210] [360/523] learning_rate: 0.081280 loss_vfl: 0.803951 loss_bbox: 0.275424 loss_dfl: 0.186384 loss: 1.236751 eta: 1 day, 6:26:11 batch_cost: 2.3496 data_cost: 0.0013 ips: 23.8340 images/s [10/17 03:39:01] ppdet.engine INFO: Epoch: [210] [380/523] learning_rate: 0.081215 loss_vfl: 0.771030 loss_bbox: 0.281857 loss_dfl: 0.183335 loss: 1.248410 eta: 1 day, 6:25:23 batch_cost: 2.3201 data_cost: 0.0019 ips: 24.1367 images/s [10/17 03:39:50] ppdet.engine INFO: Epoch: [210] [400/523] learning_rate: 0.081151 loss_vfl: 0.786584 loss_bbox: 0.268646 loss_dfl: 0.182531 loss: 1.238681 eta: 1 day, 6:24:37 batch_cost: 2.3599 data_cost: 0.0021 ips: 23.7300 images/s [10/17 03:40:40] ppdet.engine INFO: Epoch: [210] [420/523] learning_rate: 0.081086 loss_vfl: 0.786279 loss_bbox: 0.260654 loss_dfl: 0.177259 loss: 1.220474 eta: 1 day, 6:23:50 batch_cost: 2.4030 data_cost: 0.0013 ips: 23.3040 images/s [10/17 03:41:30] ppdet.engine INFO: Epoch: [210] [440/523] learning_rate: 0.081022 loss_vfl: 0.792285 loss_bbox: 0.274325 loss_dfl: 0.186051 loss: 1.263313 eta: 1 day, 6:23:03 batch_cost: 2.3590 data_cost: 0.0014 ips: 23.7390 images/s [10/17 03:42:20] ppdet.engine INFO: Epoch: [210] [460/523] learning_rate: 0.080958 loss_vfl: 0.764036 loss_bbox: 0.273815 loss_dfl: 0.185710 loss: 1.229856 eta: 1 day, 6:22:17 batch_cost: 2.4036 data_cost: 0.0012 ips: 23.2981 images/s [10/17 03:43:09] ppdet.engine INFO: Epoch: [210] [480/523] learning_rate: 0.080893 loss_vfl: 0.773545 loss_bbox: 0.276527 loss_dfl: 0.187340 loss: 1.273945 eta: 1 day, 6:21:30 batch_cost: 2.3694 data_cost: 0.0013 ips: 23.6343 images/s [10/17 03:43:58] ppdet.engine INFO: Epoch: [210] [500/523] learning_rate: 0.080829 loss_vfl: 0.785424 loss_bbox: 0.257989 loss_dfl: 0.174535 loss: 1.218352 eta: 1 day, 6:20:43 batch_cost: 2.3404 data_cost: 0.0013 ips: 23.9271 images/s [10/17 03:44:42] ppdet.engine INFO: Epoch: [210] [520/523] learning_rate: 0.080765 loss_vfl: 0.795827 loss_bbox: 0.274307 loss_dfl: 0.181562 loss: 1.261601 eta: 1 day, 6:19:54 batch_cost: 2.1175 data_cost: 0.0014 ips: 26.4468 images/s [10/17 03:45:14] ppdet.engine INFO: Epoch: [211] [ 0/523] learning_rate: 0.080755 loss_vfl: 0.811046 loss_bbox: 0.277266 loss_dfl: 0.181653 loss: 1.269694 eta: 1 day, 6:19:56 batch_cost: 3.1277 data_cost: 0.5291 ips: 17.9045 images/s [10/17 03:46:05] ppdet.engine INFO: Epoch: [211] [ 20/523] learning_rate: 0.080691 loss_vfl: 0.773253 loss_bbox: 0.271887 loss_dfl: 0.184034 loss: 1.226921 eta: 1 day, 6:19:10 batch_cost: 2.4095 data_cost: 0.0014 ips: 23.2417 images/s [10/17 03:46:55] ppdet.engine INFO: Epoch: [211] [ 40/523] learning_rate: 0.080626 loss_vfl: 0.793152 loss_bbox: 0.277272 loss_dfl: 0.181363 loss: 1.246614 eta: 1 day, 6:18:23 batch_cost: 2.4016 data_cost: 0.0015 ips: 23.3173 images/s [10/17 03:47:46] ppdet.engine INFO: Epoch: [211] [ 60/523] learning_rate: 0.080562 loss_vfl: 0.787802 loss_bbox: 0.275132 loss_dfl: 0.182773 loss: 1.248042 eta: 1 day, 6:17:37 batch_cost: 2.4177 data_cost: 0.0022 ips: 23.1626 images/s [10/17 03:48:36] ppdet.engine INFO: Epoch: [211] [ 80/523] learning_rate: 0.080498 loss_vfl: 0.783503 loss_bbox: 0.277899 loss_dfl: 0.185677 loss: 1.243706 eta: 1 day, 6:16:51 batch_cost: 2.4086 data_cost: 0.0013 ips: 23.2497 images/s [10/17 03:49:26] ppdet.engine INFO: Epoch: [211] [100/523] learning_rate: 0.080434 loss_vfl: 0.786994 loss_bbox: 0.256031 loss_dfl: 0.178745 loss: 1.232887 eta: 1 day, 6:16:04 batch_cost: 2.4061 data_cost: 0.0014 ips: 23.2738 images/s [10/17 03:50:16] ppdet.engine INFO: Epoch: [211] [120/523] learning_rate: 0.080370 loss_vfl: 0.798236 loss_bbox: 0.275443 loss_dfl: 0.184631 loss: 1.254679 eta: 1 day, 6:15:17 batch_cost: 2.3678 data_cost: 0.0014 ips: 23.6509 images/s [10/17 03:51:05] ppdet.engine INFO: Epoch: [211] [140/523] learning_rate: 0.080305 loss_vfl: 0.791968 loss_bbox: 0.284516 loss_dfl: 0.186605 loss: 1.274670 eta: 1 day, 6:14:30 batch_cost: 2.3303 data_cost: 0.0018 ips: 24.0313 images/s [10/17 03:51:53] ppdet.engine INFO: Epoch: [211] [160/523] learning_rate: 0.080241 loss_vfl: 0.787234 loss_bbox: 0.270072 loss_dfl: 0.182674 loss: 1.240626 eta: 1 day, 6:13:43 batch_cost: 2.3310 data_cost: 0.0020 ips: 24.0238 images/s [10/17 03:52:44] ppdet.engine INFO: Epoch: [211] [180/523] learning_rate: 0.080177 loss_vfl: 0.779294 loss_bbox: 0.277395 loss_dfl: 0.186315 loss: 1.249177 eta: 1 day, 6:12:57 batch_cost: 2.4143 data_cost: 0.0019 ips: 23.1949 images/s [10/17 03:53:35] ppdet.engine INFO: Epoch: [211] [200/523] learning_rate: 0.080113 loss_vfl: 0.807289 loss_bbox: 0.285471 loss_dfl: 0.186601 loss: 1.259729 eta: 1 day, 6:12:11 batch_cost: 2.4605 data_cost: 0.0045 ips: 22.7596 images/s [10/17 03:54:25] ppdet.engine INFO: Epoch: [211] [220/523] learning_rate: 0.080049 loss_vfl: 0.798524 loss_bbox: 0.270206 loss_dfl: 0.184545 loss: 1.233842 eta: 1 day, 6:11:24 batch_cost: 2.3818 data_cost: 0.0026 ips: 23.5118 images/s [10/17 03:55:14] ppdet.engine INFO: Epoch: [211] [240/523] learning_rate: 0.079985 loss_vfl: 0.793121 loss_bbox: 0.280251 loss_dfl: 0.191881 loss: 1.259791 eta: 1 day, 6:10:38 batch_cost: 2.3695 data_cost: 0.0015 ips: 23.6333 images/s [10/17 03:56:04] ppdet.engine INFO: Epoch: [211] [260/523] learning_rate: 0.079921 loss_vfl: 0.787513 loss_bbox: 0.298240 loss_dfl: 0.187682 loss: 1.267634 eta: 1 day, 6:09:51 batch_cost: 2.3810 data_cost: 0.0022 ips: 23.5199 images/s [10/17 03:56:53] ppdet.engine INFO: Epoch: [211] [280/523] learning_rate: 0.079857 loss_vfl: 0.772287 loss_bbox: 0.259177 loss_dfl: 0.176992 loss: 1.220682 eta: 1 day, 6:09:04 batch_cost: 2.3566 data_cost: 0.0013 ips: 23.7633 images/s [10/17 03:57:44] ppdet.engine INFO: Epoch: [211] [300/523] learning_rate: 0.079793 loss_vfl: 0.792182 loss_bbox: 0.276886 loss_dfl: 0.188061 loss: 1.248575 eta: 1 day, 6:08:18 batch_cost: 2.4378 data_cost: 0.0014 ips: 22.9717 images/s [10/17 03:58:35] ppdet.engine INFO: Epoch: [211] [320/523] learning_rate: 0.079729 loss_vfl: 0.790125 loss_bbox: 0.276780 loss_dfl: 0.186379 loss: 1.261997 eta: 1 day, 6:07:32 batch_cost: 2.4349 data_cost: 0.0013 ips: 22.9985 images/s [10/17 03:59:25] ppdet.engine INFO: Epoch: [211] [340/523] learning_rate: 0.079665 loss_vfl: 0.804652 loss_bbox: 0.248962 loss_dfl: 0.173967 loss: 1.228203 eta: 1 day, 6:06:45 batch_cost: 2.3949 data_cost: 0.0014 ips: 23.3828 images/s [10/17 04:00:15] ppdet.engine INFO: Epoch: [211] [360/523] learning_rate: 0.079601 loss_vfl: 0.779375 loss_bbox: 0.272584 loss_dfl: 0.190151 loss: 1.240947 eta: 1 day, 6:05:59 batch_cost: 2.3925 data_cost: 0.0019 ips: 23.4067 images/s [10/17 04:01:06] ppdet.engine INFO: Epoch: [211] [380/523] learning_rate: 0.079537 loss_vfl: 0.778554 loss_bbox: 0.284346 loss_dfl: 0.190294 loss: 1.247835 eta: 1 day, 6:05:12 batch_cost: 2.4183 data_cost: 0.0013 ips: 23.1563 images/s [10/17 04:01:54] ppdet.engine INFO: Epoch: [211] [400/523] learning_rate: 0.079473 loss_vfl: 0.777618 loss_bbox: 0.278656 loss_dfl: 0.183269 loss: 1.246523 eta: 1 day, 6:04:25 batch_cost: 2.3169 data_cost: 0.0028 ips: 24.1704 images/s [10/17 04:02:44] ppdet.engine INFO: Epoch: [211] [420/523] learning_rate: 0.079409 loss_vfl: 0.772566 loss_bbox: 0.259579 loss_dfl: 0.180967 loss: 1.228442 eta: 1 day, 6:03:39 batch_cost: 2.3883 data_cost: 0.0013 ips: 23.4478 images/s [10/17 04:03:34] ppdet.engine INFO: Epoch: [211] [440/523] learning_rate: 0.079345 loss_vfl: 0.778185 loss_bbox: 0.279965 loss_dfl: 0.185537 loss: 1.247527 eta: 1 day, 6:02:52 batch_cost: 2.4066 data_cost: 0.0027 ips: 23.2698 images/s [10/17 04:04:24] ppdet.engine INFO: Epoch: [211] [460/523] learning_rate: 0.079281 loss_vfl: 0.780556 loss_bbox: 0.280612 loss_dfl: 0.190557 loss: 1.255285 eta: 1 day, 6:02:05 batch_cost: 2.3598 data_cost: 0.0013 ips: 23.7304 images/s [10/17 04:05:13] ppdet.engine INFO: Epoch: [211] [480/523] learning_rate: 0.079217 loss_vfl: 0.794160 loss_bbox: 0.288795 loss_dfl: 0.189952 loss: 1.264913 eta: 1 day, 6:01:19 batch_cost: 2.3653 data_cost: 0.0013 ips: 23.6761 images/s [10/17 04:06:03] ppdet.engine INFO: Epoch: [211] [500/523] learning_rate: 0.079154 loss_vfl: 0.801759 loss_bbox: 0.266184 loss_dfl: 0.178668 loss: 1.245315 eta: 1 day, 6:00:32 batch_cost: 2.3786 data_cost: 0.0013 ips: 23.5432 images/s [10/17 04:06:46] ppdet.engine INFO: Epoch: [211] [520/523] learning_rate: 0.079090 loss_vfl: 0.787406 loss_bbox: 0.245846 loss_dfl: 0.171289 loss: 1.218520 eta: 1 day, 5:59:43 batch_cost: 2.0476 data_cost: 0.0013 ips: 27.3486 images/s [10/17 04:07:11] ppdet.engine INFO: Epoch: [212] [ 0/523] learning_rate: 0.079080 loss_vfl: 0.785886 loss_bbox: 0.251876 loss_dfl: 0.180464 loss: 1.225035 eta: 1 day, 5:59:42 batch_cost: 2.7628 data_cost: 0.5545 ips: 20.2691 images/s [10/17 04:08:08] ppdet.engine INFO: Epoch: [212] [ 20/523] learning_rate: 0.079016 loss_vfl: 0.791096 loss_bbox: 0.279707 loss_dfl: 0.189746 loss: 1.270442 eta: 1 day, 5:58:58 batch_cost: 2.7206 data_cost: 0.0013 ips: 20.5834 images/s [10/17 04:08:58] ppdet.engine INFO: Epoch: [212] [ 40/523] learning_rate: 0.078953 loss_vfl: 0.777531 loss_bbox: 0.286820 loss_dfl: 0.190007 loss: 1.255796 eta: 1 day, 5:58:11 batch_cost: 2.4170 data_cost: 0.0013 ips: 23.1690 images/s [10/17 04:09:48] ppdet.engine INFO: Epoch: [212] [ 60/523] learning_rate: 0.078889 loss_vfl: 0.785302 loss_bbox: 0.267246 loss_dfl: 0.176200 loss: 1.240671 eta: 1 day, 5:57:25 batch_cost: 2.3737 data_cost: 0.0036 ips: 23.5923 images/s [10/17 04:10:37] ppdet.engine INFO: Epoch: [212] [ 80/523] learning_rate: 0.078825 loss_vfl: 0.791651 loss_bbox: 0.289635 loss_dfl: 0.192047 loss: 1.266566 eta: 1 day, 5:56:38 batch_cost: 2.3682 data_cost: 0.0023 ips: 23.6471 images/s [10/17 04:11:25] ppdet.engine INFO: Epoch: [212] [100/523] learning_rate: 0.078761 loss_vfl: 0.770685 loss_bbox: 0.264342 loss_dfl: 0.178578 loss: 1.220600 eta: 1 day, 5:55:51 batch_cost: 2.2866 data_cost: 0.0016 ips: 24.4907 images/s [10/17 04:12:14] ppdet.engine INFO: Epoch: [212] [120/523] learning_rate: 0.078698 loss_vfl: 0.758767 loss_bbox: 0.266565 loss_dfl: 0.186468 loss: 1.239240 eta: 1 day, 5:55:03 batch_cost: 2.3034 data_cost: 0.0016 ips: 24.3115 images/s [10/17 04:13:02] ppdet.engine INFO: Epoch: [212] [140/523] learning_rate: 0.078634 loss_vfl: 0.781378 loss_bbox: 0.288038 loss_dfl: 0.192547 loss: 1.252253 eta: 1 day, 5:54:16 batch_cost: 2.2902 data_cost: 0.0022 ips: 24.4525 images/s [10/17 04:13:50] ppdet.engine INFO: Epoch: [212] [160/523] learning_rate: 0.078570 loss_vfl: 0.780460 loss_bbox: 0.261021 loss_dfl: 0.179516 loss: 1.231672 eta: 1 day, 5:53:29 batch_cost: 2.3186 data_cost: 0.0013 ips: 24.1528 images/s [10/17 04:14:39] ppdet.engine INFO: Epoch: [212] [180/523] learning_rate: 0.078507 loss_vfl: 0.780549 loss_bbox: 0.277477 loss_dfl: 0.186760 loss: 1.253580 eta: 1 day, 5:52:42 batch_cost: 2.3276 data_cost: 0.0014 ips: 24.0590 images/s [10/17 04:15:29] ppdet.engine INFO: Epoch: [212] [200/523] learning_rate: 0.078443 loss_vfl: 0.785967 loss_bbox: 0.262248 loss_dfl: 0.182026 loss: 1.236527 eta: 1 day, 5:51:55 batch_cost: 2.4041 data_cost: 0.0013 ips: 23.2938 images/s [10/17 04:16:19] ppdet.engine INFO: Epoch: [212] [220/523] learning_rate: 0.078380 loss_vfl: 0.778029 loss_bbox: 0.272245 loss_dfl: 0.186161 loss: 1.258795 eta: 1 day, 5:51:09 batch_cost: 2.3734 data_cost: 0.0016 ips: 23.5947 images/s [10/17 04:17:08] ppdet.engine INFO: Epoch: [212] [240/523] learning_rate: 0.078316 loss_vfl: 0.771313 loss_bbox: 0.280468 loss_dfl: 0.181994 loss: 1.237230 eta: 1 day, 5:50:21 batch_cost: 2.3316 data_cost: 0.0013 ips: 24.0176 images/s [10/17 04:17:57] ppdet.engine INFO: Epoch: [212] [260/523] learning_rate: 0.078252 loss_vfl: 0.789851 loss_bbox: 0.276017 loss_dfl: 0.183449 loss: 1.252707 eta: 1 day, 5:49:35 batch_cost: 2.3473 data_cost: 0.0013 ips: 23.8573 images/s [10/17 04:18:44] ppdet.engine INFO: Epoch: [212] [280/523] learning_rate: 0.078189 loss_vfl: 0.782609 loss_bbox: 0.282929 loss_dfl: 0.189720 loss: 1.262449 eta: 1 day, 5:48:47 batch_cost: 2.2625 data_cost: 0.0013 ips: 24.7511 images/s [10/17 04:19:32] ppdet.engine INFO: Epoch: [212] [300/523] learning_rate: 0.078125 loss_vfl: 0.790536 loss_bbox: 0.268699 loss_dfl: 0.185487 loss: 1.250265 eta: 1 day, 5:48:00 batch_cost: 2.2865 data_cost: 0.0013 ips: 24.4918 images/s [10/17 04:20:21] ppdet.engine INFO: Epoch: [212] [320/523] learning_rate: 0.078062 loss_vfl: 0.783353 loss_bbox: 0.287212 loss_dfl: 0.187571 loss: 1.276144 eta: 1 day, 5:47:13 batch_cost: 2.3368 data_cost: 0.0014 ips: 23.9646 images/s [10/17 04:21:10] ppdet.engine INFO: Epoch: [212] [340/523] learning_rate: 0.077998 loss_vfl: 0.784325 loss_bbox: 0.271191 loss_dfl: 0.188509 loss: 1.244292 eta: 1 day, 5:46:25 batch_cost: 2.3300 data_cost: 0.0020 ips: 24.0341 images/s [10/17 04:22:00] ppdet.engine INFO: Epoch: [212] [360/523] learning_rate: 0.077935 loss_vfl: 0.775621 loss_bbox: 0.254200 loss_dfl: 0.178653 loss: 1.204416 eta: 1 day, 5:45:39 batch_cost: 2.3909 data_cost: 0.0013 ips: 23.4217 images/s [10/17 04:22:50] ppdet.engine INFO: Epoch: [212] [380/523] learning_rate: 0.077872 loss_vfl: 0.794815 loss_bbox: 0.274362 loss_dfl: 0.178817 loss: 1.258700 eta: 1 day, 5:44:52 batch_cost: 2.4001 data_cost: 0.0015 ips: 23.3320 images/s [10/17 04:23:38] ppdet.engine INFO: Epoch: [212] [400/523] learning_rate: 0.077808 loss_vfl: 0.796916 loss_bbox: 0.276945 loss_dfl: 0.191207 loss: 1.265302 eta: 1 day, 5:44:05 batch_cost: 2.2335 data_cost: 0.0012 ips: 25.0731 images/s [10/17 04:24:27] ppdet.engine INFO: Epoch: [212] [420/523] learning_rate: 0.077745 loss_vfl: 0.794080 loss_bbox: 0.282502 loss_dfl: 0.185533 loss: 1.264829 eta: 1 day, 5:43:18 batch_cost: 2.3343 data_cost: 0.0015 ips: 23.9900 images/s [10/17 04:25:17] ppdet.engine INFO: Epoch: [212] [440/523] learning_rate: 0.077681 loss_vfl: 0.794808 loss_bbox: 0.265016 loss_dfl: 0.180568 loss: 1.220443 eta: 1 day, 5:42:31 batch_cost: 2.4153 data_cost: 0.0019 ips: 23.1855 images/s [10/17 04:26:07] ppdet.engine INFO: Epoch: [212] [460/523] learning_rate: 0.077618 loss_vfl: 0.772323 loss_bbox: 0.279589 loss_dfl: 0.187515 loss: 1.256496 eta: 1 day, 5:41:44 batch_cost: 2.3528 data_cost: 0.0014 ips: 23.8012 images/s [10/17 04:26:55] ppdet.engine INFO: Epoch: [212] [480/523] learning_rate: 0.077555 loss_vfl: 0.784991 loss_bbox: 0.274624 loss_dfl: 0.193475 loss: 1.260715 eta: 1 day, 5:40:57 batch_cost: 2.3098 data_cost: 0.0013 ips: 24.2450 images/s [10/17 04:27:44] ppdet.engine INFO: Epoch: [212] [500/523] learning_rate: 0.077491 loss_vfl: 0.796810 loss_bbox: 0.293500 loss_dfl: 0.195084 loss: 1.285890 eta: 1 day, 5:40:10 batch_cost: 2.3627 data_cost: 0.0014 ips: 23.7015 images/s [10/17 04:28:29] ppdet.engine INFO: Epoch: [212] [520/523] learning_rate: 0.077428 loss_vfl: 0.777902 loss_bbox: 0.265532 loss_dfl: 0.185501 loss: 1.235965 eta: 1 day, 5:39:21 batch_cost: 2.1069 data_cost: 0.0020 ips: 26.5796 images/s [10/17 04:29:05] ppdet.engine INFO: Epoch: [213] [ 0/523] learning_rate: 0.077419 loss_vfl: 0.777902 loss_bbox: 0.265532 loss_dfl: 0.185501 loss: 1.241478 eta: 1 day, 5:39:24 batch_cost: 3.3021 data_cost: 0.3424 ips: 16.9589 images/s [10/17 04:29:57] ppdet.engine INFO: Epoch: [213] [ 20/523] learning_rate: 0.077355 loss_vfl: 0.796854 loss_bbox: 0.285859 loss_dfl: 0.184474 loss: 1.254413 eta: 1 day, 5:38:38 batch_cost: 2.4308 data_cost: 0.0033 ips: 23.0380 images/s [10/17 04:30:48] ppdet.engine INFO: Epoch: [213] [ 40/523] learning_rate: 0.077292 loss_vfl: 0.777918 loss_bbox: 0.281349 loss_dfl: 0.188190 loss: 1.252799 eta: 1 day, 5:37:52 batch_cost: 2.4409 data_cost: 0.0023 ips: 22.9421 images/s [10/17 04:31:37] ppdet.engine INFO: Epoch: [213] [ 60/523] learning_rate: 0.077229 loss_vfl: 0.781836 loss_bbox: 0.273625 loss_dfl: 0.187522 loss: 1.244343 eta: 1 day, 5:37:05 batch_cost: 2.3709 data_cost: 0.0029 ips: 23.6202 images/s [10/17 04:32:28] ppdet.engine INFO: Epoch: [213] [ 80/523] learning_rate: 0.077166 loss_vfl: 0.748120 loss_bbox: 0.298900 loss_dfl: 0.185305 loss: 1.239433 eta: 1 day, 5:36:19 batch_cost: 2.4283 data_cost: 0.0015 ips: 23.0616 images/s [10/17 04:33:19] ppdet.engine INFO: Epoch: [213] [100/523] learning_rate: 0.077102 loss_vfl: 0.778994 loss_bbox: 0.275448 loss_dfl: 0.181077 loss: 1.227262 eta: 1 day, 5:35:33 batch_cost: 2.4702 data_cost: 0.0020 ips: 22.6704 images/s [10/17 04:34:08] ppdet.engine INFO: Epoch: [213] [120/523] learning_rate: 0.077039 loss_vfl: 0.780156 loss_bbox: 0.251569 loss_dfl: 0.173648 loss: 1.223453 eta: 1 day, 5:34:46 batch_cost: 2.2994 data_cost: 0.0024 ips: 24.3544 images/s [10/17 04:34:58] ppdet.engine INFO: Epoch: [213] [140/523] learning_rate: 0.076976 loss_vfl: 0.770256 loss_bbox: 0.291692 loss_dfl: 0.187942 loss: 1.252600 eta: 1 day, 5:33:59 batch_cost: 2.3822 data_cost: 0.0016 ips: 23.5076 images/s [10/17 04:35:46] ppdet.engine INFO: Epoch: [213] [160/523] learning_rate: 0.076913 loss_vfl: 0.779032 loss_bbox: 0.268789 loss_dfl: 0.184723 loss: 1.252137 eta: 1 day, 5:33:12 batch_cost: 2.2998 data_cost: 0.0014 ips: 24.3500 images/s [10/17 04:36:36] ppdet.engine INFO: Epoch: [213] [180/523] learning_rate: 0.076850 loss_vfl: 0.803910 loss_bbox: 0.267748 loss_dfl: 0.184793 loss: 1.255445 eta: 1 day, 5:32:25 batch_cost: 2.3514 data_cost: 0.0032 ips: 23.8157 images/s [10/17 04:37:26] ppdet.engine INFO: Epoch: [213] [200/523] learning_rate: 0.076787 loss_vfl: 0.787433 loss_bbox: 0.279764 loss_dfl: 0.189133 loss: 1.255569 eta: 1 day, 5:31:39 batch_cost: 2.4255 data_cost: 0.0013 ips: 23.0878 images/s [10/17 04:38:16] ppdet.engine INFO: Epoch: [213] [220/523] learning_rate: 0.076724 loss_vfl: 0.796516 loss_bbox: 0.284590 loss_dfl: 0.189649 loss: 1.254611 eta: 1 day, 5:30:52 batch_cost: 2.3688 data_cost: 0.0013 ips: 23.6406 images/s [10/17 04:39:06] ppdet.engine INFO: Epoch: [213] [240/523] learning_rate: 0.076661 loss_vfl: 0.796181 loss_bbox: 0.272809 loss_dfl: 0.184219 loss: 1.233961 eta: 1 day, 5:30:05 batch_cost: 2.3860 data_cost: 0.0021 ips: 23.4706 images/s [10/17 04:39:55] ppdet.engine INFO: Epoch: [213] [260/523] learning_rate: 0.076598 loss_vfl: 0.776938 loss_bbox: 0.253951 loss_dfl: 0.176687 loss: 1.211164 eta: 1 day, 5:29:18 batch_cost: 2.3005 data_cost: 0.0013 ips: 24.3428 images/s [10/17 04:40:43] ppdet.engine INFO: Epoch: [213] [280/523] learning_rate: 0.076535 loss_vfl: 0.787522 loss_bbox: 0.278158 loss_dfl: 0.189393 loss: 1.244375 eta: 1 day, 5:28:31 batch_cost: 2.3081 data_cost: 0.0026 ips: 24.2623 images/s [10/17 04:41:34] ppdet.engine INFO: Epoch: [213] [300/523] learning_rate: 0.076472 loss_vfl: 0.771818 loss_bbox: 0.270234 loss_dfl: 0.183274 loss: 1.231653 eta: 1 day, 5:27:45 batch_cost: 2.4424 data_cost: 0.0022 ips: 22.9285 images/s [10/17 04:42:25] ppdet.engine INFO: Epoch: [213] [320/523] learning_rate: 0.076409 loss_vfl: 0.793198 loss_bbox: 0.281488 loss_dfl: 0.187230 loss: 1.262512 eta: 1 day, 5:26:58 batch_cost: 2.4217 data_cost: 0.0026 ips: 23.1246 images/s [10/17 04:43:15] ppdet.engine INFO: Epoch: [213] [340/523] learning_rate: 0.076346 loss_vfl: 0.783467 loss_bbox: 0.263662 loss_dfl: 0.182531 loss: 1.226444 eta: 1 day, 5:26:12 batch_cost: 2.3901 data_cost: 0.0026 ips: 23.4303 images/s [10/17 04:44:04] ppdet.engine INFO: Epoch: [213] [360/523] learning_rate: 0.076283 loss_vfl: 0.785597 loss_bbox: 0.279371 loss_dfl: 0.182161 loss: 1.252690 eta: 1 day, 5:25:25 batch_cost: 2.3560 data_cost: 0.0022 ips: 23.7687 images/s [10/17 04:44:54] ppdet.engine INFO: Epoch: [213] [380/523] learning_rate: 0.076220 loss_vfl: 0.780269 loss_bbox: 0.259540 loss_dfl: 0.173684 loss: 1.217345 eta: 1 day, 5:24:38 batch_cost: 2.3911 data_cost: 0.0012 ips: 23.4201 images/s [10/17 04:45:44] ppdet.engine INFO: Epoch: [213] [400/523] learning_rate: 0.076157 loss_vfl: 0.794543 loss_bbox: 0.276179 loss_dfl: 0.187027 loss: 1.268734 eta: 1 day, 5:23:52 batch_cost: 2.4125 data_cost: 0.0016 ips: 23.2126 images/s [10/17 04:46:35] ppdet.engine INFO: Epoch: [213] [420/523] learning_rate: 0.076094 loss_vfl: 0.777914 loss_bbox: 0.274031 loss_dfl: 0.187508 loss: 1.222529 eta: 1 day, 5:23:06 batch_cost: 2.4353 data_cost: 0.0014 ips: 22.9951 images/s [10/17 04:47:26] ppdet.engine INFO: Epoch: [213] [440/523] learning_rate: 0.076031 loss_vfl: 0.783476 loss_bbox: 0.285323 loss_dfl: 0.193199 loss: 1.258247 eta: 1 day, 5:22:19 batch_cost: 2.4182 data_cost: 0.0013 ips: 23.1577 images/s [10/17 04:48:16] ppdet.engine INFO: Epoch: [213] [460/523] learning_rate: 0.075968 loss_vfl: 0.796545 loss_bbox: 0.266045 loss_dfl: 0.182786 loss: 1.241000 eta: 1 day, 5:21:33 batch_cost: 2.4054 data_cost: 0.0019 ips: 23.2814 images/s [10/17 04:49:06] ppdet.engine INFO: Epoch: [213] [480/523] learning_rate: 0.075905 loss_vfl: 0.789087 loss_bbox: 0.263046 loss_dfl: 0.176739 loss: 1.230260 eta: 1 day, 5:20:46 batch_cost: 2.3934 data_cost: 0.0019 ips: 23.3981 images/s [10/17 04:49:57] ppdet.engine INFO: Epoch: [213] [500/523] learning_rate: 0.075843 loss_vfl: 0.773805 loss_bbox: 0.262285 loss_dfl: 0.180274 loss: 1.224277 eta: 1 day, 5:20:00 batch_cost: 2.4183 data_cost: 0.0014 ips: 23.1569 images/s [10/17 04:50:41] ppdet.engine INFO: Epoch: [213] [520/523] learning_rate: 0.075780 loss_vfl: 0.784809 loss_bbox: 0.247070 loss_dfl: 0.178787 loss: 1.214509 eta: 1 day, 5:19:11 batch_cost: 2.0913 data_cost: 0.0014 ips: 26.7781 images/s [10/17 04:51:06] ppdet.engine INFO: Epoch: [214] [ 0/523] learning_rate: 0.075770 loss_vfl: 0.793998 loss_bbox: 0.246976 loss_dfl: 0.177005 loss: 1.218946 eta: 1 day, 5:19:10 batch_cost: 2.7829 data_cost: 0.5837 ips: 20.1230 images/s [10/17 04:52:02] ppdet.engine INFO: Epoch: [214] [ 20/523] learning_rate: 0.075708 loss_vfl: 0.777119 loss_bbox: 0.278661 loss_dfl: 0.192743 loss: 1.248174 eta: 1 day, 5:18:25 batch_cost: 2.6166 data_cost: 0.0029 ips: 21.4017 images/s [10/17 04:52:53] ppdet.engine INFO: Epoch: [214] [ 40/523] learning_rate: 0.075645 loss_vfl: 0.779837 loss_bbox: 0.273840 loss_dfl: 0.182833 loss: 1.237579 eta: 1 day, 5:17:39 batch_cost: 2.4254 data_cost: 0.0020 ips: 23.0885 images/s [10/17 04:53:42] ppdet.engine INFO: Epoch: [214] [ 60/523] learning_rate: 0.075582 loss_vfl: 0.781620 loss_bbox: 0.268739 loss_dfl: 0.178545 loss: 1.230900 eta: 1 day, 5:16:52 batch_cost: 2.3786 data_cost: 0.0019 ips: 23.5433 images/s [10/17 04:54:32] ppdet.engine INFO: Epoch: [214] [ 80/523] learning_rate: 0.075520 loss_vfl: 0.773120 loss_bbox: 0.262667 loss_dfl: 0.178075 loss: 1.211633 eta: 1 day, 5:16:05 batch_cost: 2.3816 data_cost: 0.0014 ips: 23.5139 images/s [10/17 04:55:22] ppdet.engine INFO: Epoch: [214] [100/523] learning_rate: 0.075457 loss_vfl: 0.771244 loss_bbox: 0.273270 loss_dfl: 0.177939 loss: 1.230817 eta: 1 day, 5:15:18 batch_cost: 2.3791 data_cost: 0.0014 ips: 23.5379 images/s [10/17 04:56:12] ppdet.engine INFO: Epoch: [214] [120/523] learning_rate: 0.075394 loss_vfl: 0.785796 loss_bbox: 0.252334 loss_dfl: 0.176429 loss: 1.214961 eta: 1 day, 5:14:32 batch_cost: 2.3837 data_cost: 0.0013 ips: 23.4930 images/s [10/17 04:57:00] ppdet.engine INFO: Epoch: [214] [140/523] learning_rate: 0.075332 loss_vfl: 0.780243 loss_bbox: 0.264204 loss_dfl: 0.175233 loss: 1.244074 eta: 1 day, 5:13:45 batch_cost: 2.3309 data_cost: 0.0013 ips: 24.0254 images/s [10/17 04:57:50] ppdet.engine INFO: Epoch: [214] [160/523] learning_rate: 0.075269 loss_vfl: 0.785814 loss_bbox: 0.285316 loss_dfl: 0.193610 loss: 1.268945 eta: 1 day, 5:12:58 batch_cost: 2.4051 data_cost: 0.0013 ips: 23.2835 images/s [10/17 04:58:40] ppdet.engine INFO: Epoch: [214] [180/523] learning_rate: 0.075206 loss_vfl: 0.784667 loss_bbox: 0.261375 loss_dfl: 0.181581 loss: 1.224024 eta: 1 day, 5:12:12 batch_cost: 2.3836 data_cost: 0.0012 ips: 23.4935 images/s [10/17 04:59:29] ppdet.engine INFO: Epoch: [214] [200/523] learning_rate: 0.075144 loss_vfl: 0.798828 loss_bbox: 0.272322 loss_dfl: 0.190507 loss: 1.258454 eta: 1 day, 5:11:25 batch_cost: 2.3520 data_cost: 0.0013 ips: 23.8093 images/s [10/17 05:00:18] ppdet.engine INFO: Epoch: [214] [220/523] learning_rate: 0.075081 loss_vfl: 0.784137 loss_bbox: 0.269985 loss_dfl: 0.177376 loss: 1.243188 eta: 1 day, 5:10:38 batch_cost: 2.3264 data_cost: 0.0013 ips: 24.0715 images/s [10/17 05:01:09] ppdet.engine INFO: Epoch: [214] [240/523] learning_rate: 0.075019 loss_vfl: 0.785473 loss_bbox: 0.266544 loss_dfl: 0.176689 loss: 1.232080 eta: 1 day, 5:09:51 batch_cost: 2.4409 data_cost: 0.0013 ips: 22.9420 images/s [10/17 05:01:59] ppdet.engine INFO: Epoch: [214] [260/523] learning_rate: 0.074956 loss_vfl: 0.784566 loss_bbox: 0.273760 loss_dfl: 0.181811 loss: 1.264603 eta: 1 day, 5:09:05 batch_cost: 2.3892 data_cost: 0.0013 ips: 23.4391 images/s [10/17 05:02:47] ppdet.engine INFO: Epoch: [214] [280/523] learning_rate: 0.074894 loss_vfl: 0.781361 loss_bbox: 0.261392 loss_dfl: 0.181712 loss: 1.230857 eta: 1 day, 5:08:18 batch_cost: 2.2906 data_cost: 0.0012 ips: 24.4482 images/s [10/17 05:03:38] ppdet.engine INFO: Epoch: [214] [300/523] learning_rate: 0.074831 loss_vfl: 0.775426 loss_bbox: 0.263111 loss_dfl: 0.182121 loss: 1.218815 eta: 1 day, 5:07:31 batch_cost: 2.4535 data_cost: 0.0026 ips: 22.8243 images/s [10/17 05:04:30] ppdet.engine INFO: Epoch: [214] [320/523] learning_rate: 0.074769 loss_vfl: 0.784876 loss_bbox: 0.274442 loss_dfl: 0.183434 loss: 1.251788 eta: 1 day, 5:06:46 batch_cost: 2.4800 data_cost: 0.0022 ips: 22.5805 images/s [10/17 05:05:20] ppdet.engine INFO: Epoch: [214] [340/523] learning_rate: 0.074706 loss_vfl: 0.768478 loss_bbox: 0.253391 loss_dfl: 0.178342 loss: 1.208828 eta: 1 day, 5:05:59 batch_cost: 2.3649 data_cost: 0.0013 ips: 23.6793 images/s [10/17 05:06:10] ppdet.engine INFO: Epoch: [214] [360/523] learning_rate: 0.074644 loss_vfl: 0.783023 loss_bbox: 0.253243 loss_dfl: 0.180295 loss: 1.240737 eta: 1 day, 5:05:12 batch_cost: 2.4176 data_cost: 0.0014 ips: 23.1631 images/s [10/17 05:07:00] ppdet.engine INFO: Epoch: [214] [380/523] learning_rate: 0.074581 loss_vfl: 0.779800 loss_bbox: 0.277985 loss_dfl: 0.192375 loss: 1.253996 eta: 1 day, 5:04:26 batch_cost: 2.3925 data_cost: 0.0012 ips: 23.4063 images/s [10/17 05:07:50] ppdet.engine INFO: Epoch: [214] [400/523] learning_rate: 0.074519 loss_vfl: 0.775869 loss_bbox: 0.274637 loss_dfl: 0.189313 loss: 1.230361 eta: 1 day, 5:03:39 batch_cost: 2.4067 data_cost: 0.0012 ips: 23.2687 images/s [10/17 05:08:41] ppdet.engine INFO: Epoch: [214] [420/523] learning_rate: 0.074457 loss_vfl: 0.789208 loss_bbox: 0.269755 loss_dfl: 0.186603 loss: 1.242616 eta: 1 day, 5:02:53 batch_cost: 2.4131 data_cost: 0.0013 ips: 23.2071 images/s [10/17 05:09:30] ppdet.engine INFO: Epoch: [214] [440/523] learning_rate: 0.074394 loss_vfl: 0.789348 loss_bbox: 0.282049 loss_dfl: 0.186994 loss: 1.253925 eta: 1 day, 5:02:06 batch_cost: 2.3812 data_cost: 0.0012 ips: 23.5178 images/s [10/17 05:10:21] ppdet.engine INFO: Epoch: [214] [460/523] learning_rate: 0.074332 loss_vfl: 0.792505 loss_bbox: 0.269880 loss_dfl: 0.184050 loss: 1.260772 eta: 1 day, 5:01:20 batch_cost: 2.4324 data_cost: 0.0012 ips: 23.0225 images/s [10/17 05:11:11] ppdet.engine INFO: Epoch: [214] [480/523] learning_rate: 0.074270 loss_vfl: 0.783804 loss_bbox: 0.270459 loss_dfl: 0.178855 loss: 1.237548 eta: 1 day, 5:00:33 batch_cost: 2.3689 data_cost: 0.0028 ips: 23.6398 images/s [10/17 05:11:59] ppdet.engine INFO: Epoch: [214] [500/523] learning_rate: 0.074208 loss_vfl: 0.763747 loss_bbox: 0.278232 loss_dfl: 0.189459 loss: 1.240563 eta: 1 day, 4:59:46 batch_cost: 2.3149 data_cost: 0.0019 ips: 24.1912 images/s [10/17 05:12:41] ppdet.engine INFO: Epoch: [214] [520/523] learning_rate: 0.074145 loss_vfl: 0.798935 loss_bbox: 0.269093 loss_dfl: 0.182667 loss: 1.246069 eta: 1 day, 4:58:56 batch_cost: 2.0030 data_cost: 0.0012 ips: 27.9575 images/s [10/17 05:13:11] ppdet.engine INFO: Epoch: [215] [ 0/523] learning_rate: 0.074136 loss_vfl: 0.802267 loss_bbox: 0.262269 loss_dfl: 0.177638 loss: 1.228677 eta: 1 day, 4:58:57 batch_cost: 2.9729 data_cost: 0.6813 ips: 18.8370 images/s [10/17 05:14:03] ppdet.engine INFO: Epoch: [215] [ 20/523] learning_rate: 0.074074 loss_vfl: 0.781650 loss_bbox: 0.265009 loss_dfl: 0.184019 loss: 1.233435 eta: 1 day, 4:58:11 batch_cost: 2.5242 data_cost: 0.0020 ips: 22.1855 images/s [10/17 05:14:55] ppdet.engine INFO: Epoch: [215] [ 40/523] learning_rate: 0.074011 loss_vfl: 0.770530 loss_bbox: 0.270826 loss_dfl: 0.186487 loss: 1.231630 eta: 1 day, 4:57:25 batch_cost: 2.4806 data_cost: 0.0013 ips: 22.5752 images/s [10/17 05:15:45] ppdet.engine INFO: Epoch: [215] [ 60/523] learning_rate: 0.073949 loss_vfl: 0.766305 loss_bbox: 0.264111 loss_dfl: 0.180029 loss: 1.210263 eta: 1 day, 4:56:39 batch_cost: 2.3975 data_cost: 0.0014 ips: 23.3573 images/s [10/17 05:16:36] ppdet.engine INFO: Epoch: [215] [ 80/523] learning_rate: 0.073887 loss_vfl: 0.790093 loss_bbox: 0.301281 loss_dfl: 0.202730 loss: 1.282506 eta: 1 day, 4:55:53 batch_cost: 2.4394 data_cost: 0.0015 ips: 22.9565 images/s [10/17 05:17:26] ppdet.engine INFO: Epoch: [215] [100/523] learning_rate: 0.073825 loss_vfl: 0.778260 loss_bbox: 0.281821 loss_dfl: 0.183085 loss: 1.224255 eta: 1 day, 4:55:06 batch_cost: 2.3772 data_cost: 0.0013 ips: 23.5573 images/s [10/17 05:18:16] ppdet.engine INFO: Epoch: [215] [120/523] learning_rate: 0.073763 loss_vfl: 0.783083 loss_bbox: 0.280510 loss_dfl: 0.185648 loss: 1.247195 eta: 1 day, 4:54:19 batch_cost: 2.4060 data_cost: 0.0025 ips: 23.2749 images/s [10/17 05:19:05] ppdet.engine INFO: Epoch: [215] [140/523] learning_rate: 0.073701 loss_vfl: 0.785611 loss_bbox: 0.248145 loss_dfl: 0.170087 loss: 1.190272 eta: 1 day, 4:53:32 batch_cost: 2.3537 data_cost: 0.0013 ips: 23.7921 images/s [10/17 05:19:55] ppdet.engine INFO: Epoch: [215] [160/523] learning_rate: 0.073639 loss_vfl: 0.777378 loss_bbox: 0.259873 loss_dfl: 0.169925 loss: 1.202254 eta: 1 day, 4:52:46 batch_cost: 2.4122 data_cost: 0.0013 ips: 23.2155 images/s [10/17 05:20:44] ppdet.engine INFO: Epoch: [215] [180/523] learning_rate: 0.073577 loss_vfl: 0.770225 loss_bbox: 0.287875 loss_dfl: 0.188204 loss: 1.243347 eta: 1 day, 4:51:59 batch_cost: 2.3376 data_cost: 0.0013 ips: 23.9564 images/s [10/17 05:21:33] ppdet.engine INFO: Epoch: [215] [200/523] learning_rate: 0.073515 loss_vfl: 0.783394 loss_bbox: 0.260031 loss_dfl: 0.179120 loss: 1.231742 eta: 1 day, 4:51:12 batch_cost: 2.3551 data_cost: 0.0025 ips: 23.7781 images/s [10/17 05:22:25] ppdet.engine INFO: Epoch: [215] [220/523] learning_rate: 0.073452 loss_vfl: 0.769757 loss_bbox: 0.272814 loss_dfl: 0.180652 loss: 1.247938 eta: 1 day, 4:50:26 batch_cost: 2.4629 data_cost: 0.0019 ips: 22.7372 images/s [10/17 05:23:16] ppdet.engine INFO: Epoch: [215] [240/523] learning_rate: 0.073390 loss_vfl: 0.774005 loss_bbox: 0.289159 loss_dfl: 0.187940 loss: 1.246325 eta: 1 day, 4:49:40 batch_cost: 2.4385 data_cost: 0.0013 ips: 22.9653 images/s [10/17 05:24:05] ppdet.engine INFO: Epoch: [215] [260/523] learning_rate: 0.073328 loss_vfl: 0.778674 loss_bbox: 0.274951 loss_dfl: 0.179868 loss: 1.241062 eta: 1 day, 4:48:53 batch_cost: 2.3215 data_cost: 0.0012 ips: 24.1223 images/s [10/17 05:24:54] ppdet.engine INFO: Epoch: [215] [280/523] learning_rate: 0.073267 loss_vfl: 0.775049 loss_bbox: 0.264236 loss_dfl: 0.181917 loss: 1.231219 eta: 1 day, 4:48:06 batch_cost: 2.3870 data_cost: 0.0020 ips: 23.4602 images/s [10/17 05:25:44] ppdet.engine INFO: Epoch: [215] [300/523] learning_rate: 0.073205 loss_vfl: 0.777169 loss_bbox: 0.274946 loss_dfl: 0.182569 loss: 1.235291 eta: 1 day, 4:47:20 batch_cost: 2.3885 data_cost: 0.0013 ips: 23.4461 images/s [10/17 05:26:34] ppdet.engine INFO: Epoch: [215] [320/523] learning_rate: 0.073143 loss_vfl: 0.780112 loss_bbox: 0.284754 loss_dfl: 0.188919 loss: 1.269102 eta: 1 day, 4:46:33 batch_cost: 2.3745 data_cost: 0.0012 ips: 23.5837 images/s [10/17 05:27:23] ppdet.engine INFO: Epoch: [215] [340/523] learning_rate: 0.073081 loss_vfl: 0.802548 loss_bbox: 0.269860 loss_dfl: 0.185386 loss: 1.264802 eta: 1 day, 4:45:46 batch_cost: 2.3587 data_cost: 0.0013 ips: 23.7421 images/s [10/17 05:28:12] ppdet.engine INFO: Epoch: [215] [360/523] learning_rate: 0.073019 loss_vfl: 0.778917 loss_bbox: 0.264632 loss_dfl: 0.179778 loss: 1.218936 eta: 1 day, 4:44:59 batch_cost: 2.3210 data_cost: 0.0012 ips: 24.1270 images/s [10/17 05:29:01] ppdet.engine INFO: Epoch: [215] [380/523] learning_rate: 0.072957 loss_vfl: 0.798352 loss_bbox: 0.277059 loss_dfl: 0.193611 loss: 1.277653 eta: 1 day, 4:44:12 batch_cost: 2.3578 data_cost: 0.0012 ips: 23.7506 images/s [10/17 05:29:50] ppdet.engine INFO: Epoch: [215] [400/523] learning_rate: 0.072895 loss_vfl: 0.787465 loss_bbox: 0.264233 loss_dfl: 0.176370 loss: 1.230688 eta: 1 day, 4:43:25 batch_cost: 2.3440 data_cost: 0.0015 ips: 23.8911 images/s [10/17 05:30:39] ppdet.engine INFO: Epoch: [215] [420/523] learning_rate: 0.072833 loss_vfl: 0.778682 loss_bbox: 0.276047 loss_dfl: 0.189356 loss: 1.237835 eta: 1 day, 4:42:38 batch_cost: 2.3243 data_cost: 0.0013 ips: 24.0935 images/s [10/17 05:31:29] ppdet.engine INFO: Epoch: [215] [440/523] learning_rate: 0.072771 loss_vfl: 0.781352 loss_bbox: 0.266053 loss_dfl: 0.178773 loss: 1.232259 eta: 1 day, 4:41:51 batch_cost: 2.3865 data_cost: 0.0013 ips: 23.4652 images/s [10/17 05:32:19] ppdet.engine INFO: Epoch: [215] [460/523] learning_rate: 0.072710 loss_vfl: 0.784957 loss_bbox: 0.295503 loss_dfl: 0.192956 loss: 1.261254 eta: 1 day, 4:41:05 batch_cost: 2.3882 data_cost: 0.0012 ips: 23.4490 images/s [10/17 05:33:08] ppdet.engine INFO: Epoch: [215] [480/523] learning_rate: 0.072648 loss_vfl: 0.777656 loss_bbox: 0.266064 loss_dfl: 0.181644 loss: 1.247296 eta: 1 day, 4:40:18 batch_cost: 2.3472 data_cost: 0.0013 ips: 23.8585 images/s [10/17 05:33:57] ppdet.engine INFO: Epoch: [215] [500/523] learning_rate: 0.072586 loss_vfl: 0.790829 loss_bbox: 0.266150 loss_dfl: 0.175517 loss: 1.222465 eta: 1 day, 4:39:31 batch_cost: 2.3486 data_cost: 0.0012 ips: 23.8442 images/s [10/17 05:34:41] ppdet.engine INFO: Epoch: [215] [520/523] learning_rate: 0.072524 loss_vfl: 0.796884 loss_bbox: 0.263931 loss_dfl: 0.182046 loss: 1.265658 eta: 1 day, 4:38:42 batch_cost: 2.0698 data_cost: 0.0012 ips: 27.0562 images/s [10/17 05:35:10] ppdet.engine INFO: Epoch: [216] [ 0/523] learning_rate: 0.072515 loss_vfl: 0.794542 loss_bbox: 0.263578 loss_dfl: 0.176880 loss: 1.229020 eta: 1 day, 4:38:42 batch_cost: 3.0192 data_cost: 0.6684 ips: 18.5477 images/s [10/17 05:36:03] ppdet.engine INFO: Epoch: [216] [ 20/523] learning_rate: 0.072454 loss_vfl: 0.776483 loss_bbox: 0.257990 loss_dfl: 0.180082 loss: 1.226246 eta: 1 day, 4:37:56 batch_cost: 2.5277 data_cost: 0.0016 ips: 22.1541 images/s [10/17 05:36:52] ppdet.engine INFO: Epoch: [216] [ 40/523] learning_rate: 0.072392 loss_vfl: 0.785121 loss_bbox: 0.267349 loss_dfl: 0.176841 loss: 1.205773 eta: 1 day, 4:37:09 batch_cost: 2.3350 data_cost: 0.0017 ips: 23.9829 images/s [10/17 05:37:41] ppdet.engine INFO: Epoch: [216] [ 60/523] learning_rate: 0.072330 loss_vfl: 0.774451 loss_bbox: 0.270886 loss_dfl: 0.184775 loss: 1.231273 eta: 1 day, 4:36:23 batch_cost: 2.3708 data_cost: 0.0014 ips: 23.6206 images/s [10/17 05:38:31] ppdet.engine INFO: Epoch: [216] [ 80/523] learning_rate: 0.072269 loss_vfl: 0.778943 loss_bbox: 0.260869 loss_dfl: 0.183432 loss: 1.258904 eta: 1 day, 4:35:36 batch_cost: 2.3760 data_cost: 0.0024 ips: 23.5694 images/s [10/17 05:39:23] ppdet.engine INFO: Epoch: [216] [100/523] learning_rate: 0.072207 loss_vfl: 0.766695 loss_bbox: 0.268535 loss_dfl: 0.182583 loss: 1.235629 eta: 1 day, 4:34:50 batch_cost: 2.4807 data_cost: 0.0013 ips: 22.5743 images/s [10/17 05:40:11] ppdet.engine INFO: Epoch: [216] [120/523] learning_rate: 0.072145 loss_vfl: 0.792201 loss_bbox: 0.276903 loss_dfl: 0.185819 loss: 1.248149 eta: 1 day, 4:34:03 batch_cost: 2.3067 data_cost: 0.0012 ips: 24.2776 images/s [10/17 05:41:00] ppdet.engine INFO: Epoch: [216] [140/523] learning_rate: 0.072084 loss_vfl: 0.782609 loss_bbox: 0.265453 loss_dfl: 0.181447 loss: 1.244702 eta: 1 day, 4:33:16 batch_cost: 2.3641 data_cost: 0.0012 ips: 23.6881 images/s [10/17 05:41:49] ppdet.engine INFO: Epoch: [216] [160/523] learning_rate: 0.072022 loss_vfl: 0.778576 loss_bbox: 0.270456 loss_dfl: 0.176914 loss: 1.223608 eta: 1 day, 4:32:29 batch_cost: 2.3258 data_cost: 0.0013 ips: 24.0775 images/s [10/17 05:42:38] ppdet.engine INFO: Epoch: [216] [180/523] learning_rate: 0.071961 loss_vfl: 0.762399 loss_bbox: 0.292743 loss_dfl: 0.192536 loss: 1.251021 eta: 1 day, 4:31:42 batch_cost: 2.3217 data_cost: 0.0013 ips: 24.1199 images/s [10/17 05:43:27] ppdet.engine INFO: Epoch: [216] [200/523] learning_rate: 0.071899 loss_vfl: 0.762570 loss_bbox: 0.266477 loss_dfl: 0.177093 loss: 1.206861 eta: 1 day, 4:30:55 batch_cost: 2.3590 data_cost: 0.0014 ips: 23.7389 images/s [10/17 05:44:16] ppdet.engine INFO: Epoch: [216] [220/523] learning_rate: 0.071838 loss_vfl: 0.782907 loss_bbox: 0.281719 loss_dfl: 0.186932 loss: 1.264829 eta: 1 day, 4:30:08 batch_cost: 2.3420 data_cost: 0.0019 ips: 23.9109 images/s [10/17 05:45:05] ppdet.engine INFO: Epoch: [216] [240/523] learning_rate: 0.071776 loss_vfl: 0.770539 loss_bbox: 0.272314 loss_dfl: 0.183337 loss: 1.238661 eta: 1 day, 4:29:21 batch_cost: 2.3612 data_cost: 0.0013 ips: 23.7169 images/s [10/17 05:45:55] ppdet.engine INFO: Epoch: [216] [260/523] learning_rate: 0.071715 loss_vfl: 0.771095 loss_bbox: 0.280638 loss_dfl: 0.187288 loss: 1.237623 eta: 1 day, 4:28:34 batch_cost: 2.3914 data_cost: 0.0021 ips: 23.4173 images/s [10/17 05:46:45] ppdet.engine INFO: Epoch: [216] [280/523] learning_rate: 0.071653 loss_vfl: 0.784546 loss_bbox: 0.271715 loss_dfl: 0.178093 loss: 1.228832 eta: 1 day, 4:27:48 batch_cost: 2.3855 data_cost: 0.0013 ips: 23.4757 images/s [10/17 05:47:34] ppdet.engine INFO: Epoch: [216] [300/523] learning_rate: 0.071592 loss_vfl: 0.777748 loss_bbox: 0.258544 loss_dfl: 0.173221 loss: 1.218772 eta: 1 day, 4:27:00 batch_cost: 2.3167 data_cost: 0.0013 ips: 24.1721 images/s [10/17 05:48:23] ppdet.engine INFO: Epoch: [216] [320/523] learning_rate: 0.071530 loss_vfl: 0.769463 loss_bbox: 0.281056 loss_dfl: 0.190429 loss: 1.255893 eta: 1 day, 4:26:14 batch_cost: 2.3532 data_cost: 0.0021 ips: 23.7971 images/s [10/17 05:49:12] ppdet.engine INFO: Epoch: [216] [340/523] learning_rate: 0.071469 loss_vfl: 0.779474 loss_bbox: 0.280530 loss_dfl: 0.181367 loss: 1.246335 eta: 1 day, 4:25:26 batch_cost: 2.3348 data_cost: 0.0015 ips: 23.9849 images/s [10/17 05:50:01] ppdet.engine INFO: Epoch: [216] [360/523] learning_rate: 0.071408 loss_vfl: 0.788325 loss_bbox: 0.287610 loss_dfl: 0.183055 loss: 1.240633 eta: 1 day, 4:24:40 batch_cost: 2.3488 data_cost: 0.0014 ips: 23.8418 images/s [10/17 05:50:50] ppdet.engine INFO: Epoch: [216] [380/523] learning_rate: 0.071346 loss_vfl: 0.780838 loss_bbox: 0.266205 loss_dfl: 0.178462 loss: 1.240865 eta: 1 day, 4:23:53 batch_cost: 2.3796 data_cost: 0.0014 ips: 23.5329 images/s [10/17 05:51:41] ppdet.engine INFO: Epoch: [216] [400/523] learning_rate: 0.071285 loss_vfl: 0.790365 loss_bbox: 0.267538 loss_dfl: 0.181173 loss: 1.254288 eta: 1 day, 4:23:06 batch_cost: 2.4264 data_cost: 0.0013 ips: 23.0792 images/s [10/17 05:52:30] ppdet.engine INFO: Epoch: [216] [420/523] learning_rate: 0.071224 loss_vfl: 0.786343 loss_bbox: 0.267336 loss_dfl: 0.184189 loss: 1.264558 eta: 1 day, 4:22:20 batch_cost: 2.3528 data_cost: 0.0028 ips: 23.8010 images/s [10/17 05:53:19] ppdet.engine INFO: Epoch: [216] [440/523] learning_rate: 0.071163 loss_vfl: 0.771240 loss_bbox: 0.267202 loss_dfl: 0.184687 loss: 1.246217 eta: 1 day, 4:21:32 batch_cost: 2.3287 data_cost: 0.0025 ips: 24.0482 images/s [10/17 05:54:09] ppdet.engine INFO: Epoch: [216] [460/523] learning_rate: 0.071101 loss_vfl: 0.763111 loss_bbox: 0.284380 loss_dfl: 0.192171 loss: 1.243469 eta: 1 day, 4:20:46 batch_cost: 2.4120 data_cost: 0.0026 ips: 23.2171 images/s [10/17 05:54:58] ppdet.engine INFO: Epoch: [216] [480/523] learning_rate: 0.071040 loss_vfl: 0.781373 loss_bbox: 0.266295 loss_dfl: 0.183071 loss: 1.235981 eta: 1 day, 4:19:59 batch_cost: 2.3624 data_cost: 0.0014 ips: 23.7052 images/s [10/17 05:55:48] ppdet.engine INFO: Epoch: [216] [500/523] learning_rate: 0.070979 loss_vfl: 0.794017 loss_bbox: 0.276931 loss_dfl: 0.185282 loss: 1.254936 eta: 1 day, 4:19:12 batch_cost: 2.3505 data_cost: 0.0019 ips: 23.8246 images/s [10/17 05:56:31] ppdet.engine INFO: Epoch: [216] [520/523] learning_rate: 0.070918 loss_vfl: 0.784478 loss_bbox: 0.280091 loss_dfl: 0.181077 loss: 1.252588 eta: 1 day, 4:18:23 batch_cost: 2.0764 data_cost: 0.0019 ips: 26.9701 images/s [10/17 05:57:00] ppdet.engine INFO: Epoch: [217] [ 0/523] learning_rate: 0.070908 loss_vfl: 0.782310 loss_bbox: 0.280091 loss_dfl: 0.180475 loss: 1.249724 eta: 1 day, 4:18:23 batch_cost: 2.9295 data_cost: 0.4964 ips: 19.1160 images/s [10/17 05:57:54] ppdet.engine INFO: Epoch: [217] [ 20/523] learning_rate: 0.070847 loss_vfl: 0.762842 loss_bbox: 0.280327 loss_dfl: 0.186812 loss: 1.216645 eta: 1 day, 4:17:38 batch_cost: 2.5951 data_cost: 0.0018 ips: 21.5792 images/s [10/17 05:58:44] ppdet.engine INFO: Epoch: [217] [ 40/523] learning_rate: 0.070786 loss_vfl: 0.772161 loss_bbox: 0.262725 loss_dfl: 0.179619 loss: 1.221980 eta: 1 day, 4:16:51 batch_cost: 2.3983 data_cost: 0.0023 ips: 23.3500 images/s [10/17 05:59:36] ppdet.engine INFO: Epoch: [217] [ 60/523] learning_rate: 0.070725 loss_vfl: 0.793135 loss_bbox: 0.277831 loss_dfl: 0.177505 loss: 1.247917 eta: 1 day, 4:16:05 batch_cost: 2.4560 data_cost: 0.0015 ips: 22.8012 images/s [10/17 06:00:26] ppdet.engine INFO: Epoch: [217] [ 80/523] learning_rate: 0.070664 loss_vfl: 0.793707 loss_bbox: 0.269566 loss_dfl: 0.180718 loss: 1.246503 eta: 1 day, 4:15:19 batch_cost: 2.3984 data_cost: 0.0013 ips: 23.3488 images/s [10/17 06:01:14] ppdet.engine INFO: Epoch: [217] [100/523] learning_rate: 0.070603 loss_vfl: 0.770339 loss_bbox: 0.271051 loss_dfl: 0.184414 loss: 1.248981 eta: 1 day, 4:14:31 batch_cost: 2.3018 data_cost: 0.0035 ips: 24.3287 images/s [10/17 06:02:04] ppdet.engine INFO: Epoch: [217] [120/523] learning_rate: 0.070542 loss_vfl: 0.764239 loss_bbox: 0.270923 loss_dfl: 0.184869 loss: 1.218866 eta: 1 day, 4:13:45 batch_cost: 2.3701 data_cost: 0.0028 ips: 23.6282 images/s [10/17 06:02:53] ppdet.engine INFO: Epoch: [217] [140/523] learning_rate: 0.070481 loss_vfl: 0.767404 loss_bbox: 0.280542 loss_dfl: 0.191052 loss: 1.241008 eta: 1 day, 4:12:58 batch_cost: 2.3836 data_cost: 0.0012 ips: 23.4938 images/s [10/17 06:03:43] ppdet.engine INFO: Epoch: [217] [160/523] learning_rate: 0.070420 loss_vfl: 0.779171 loss_bbox: 0.266673 loss_dfl: 0.183537 loss: 1.238714 eta: 1 day, 4:12:11 batch_cost: 2.3739 data_cost: 0.0013 ips: 23.5897 images/s [10/17 06:04:33] ppdet.engine INFO: Epoch: [217] [180/523] learning_rate: 0.070359 loss_vfl: 0.787442 loss_bbox: 0.265323 loss_dfl: 0.180069 loss: 1.249827 eta: 1 day, 4:11:24 batch_cost: 2.3952 data_cost: 0.0013 ips: 23.3797 images/s [10/17 06:05:22] ppdet.engine INFO: Epoch: [217] [200/523] learning_rate: 0.070298 loss_vfl: 0.772457 loss_bbox: 0.277189 loss_dfl: 0.187419 loss: 1.244544 eta: 1 day, 4:10:37 batch_cost: 2.3204 data_cost: 0.0013 ips: 24.1341 images/s [10/17 06:06:11] ppdet.engine INFO: Epoch: [217] [220/523] learning_rate: 0.070237 loss_vfl: 0.780555 loss_bbox: 0.276439 loss_dfl: 0.190712 loss: 1.270525 eta: 1 day, 4:09:51 batch_cost: 2.3686 data_cost: 0.0013 ips: 23.6426 images/s [10/17 06:07:01] ppdet.engine INFO: Epoch: [217] [240/523] learning_rate: 0.070176 loss_vfl: 0.770351 loss_bbox: 0.268557 loss_dfl: 0.186291 loss: 1.208865 eta: 1 day, 4:09:04 batch_cost: 2.3698 data_cost: 0.0013 ips: 23.6303 images/s [10/17 06:07:50] ppdet.engine INFO: Epoch: [217] [260/523] learning_rate: 0.070115 loss_vfl: 0.776554 loss_bbox: 0.264810 loss_dfl: 0.179653 loss: 1.222470 eta: 1 day, 4:08:17 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7815 images/s [10/17 06:08:39] ppdet.engine INFO: Epoch: [217] [280/523] learning_rate: 0.070054 loss_vfl: 0.774967 loss_bbox: 0.276261 loss_dfl: 0.183786 loss: 1.228824 eta: 1 day, 4:07:30 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7013 images/s [10/17 06:09:28] ppdet.engine INFO: Epoch: [217] [300/523] learning_rate: 0.069993 loss_vfl: 0.764581 loss_bbox: 0.272666 loss_dfl: 0.187281 loss: 1.237463 eta: 1 day, 4:06:43 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8230 images/s [10/17 06:10:17] ppdet.engine INFO: Epoch: [217] [320/523] learning_rate: 0.069932 loss_vfl: 0.784806 loss_bbox: 0.281089 loss_dfl: 0.186887 loss: 1.257823 eta: 1 day, 4:05:56 batch_cost: 2.3512 data_cost: 0.0014 ips: 23.8176 images/s [10/17 06:11:06] ppdet.engine INFO: Epoch: [217] [340/523] learning_rate: 0.069872 loss_vfl: 0.782784 loss_bbox: 0.259323 loss_dfl: 0.181589 loss: 1.216496 eta: 1 day, 4:05:09 batch_cost: 2.2989 data_cost: 0.0015 ips: 24.3596 images/s [10/17 06:11:55] ppdet.engine INFO: Epoch: [217] [360/523] learning_rate: 0.069811 loss_vfl: 0.768601 loss_bbox: 0.271338 loss_dfl: 0.177380 loss: 1.232022 eta: 1 day, 4:04:22 batch_cost: 2.3866 data_cost: 0.0012 ips: 23.4640 images/s [10/17 06:12:45] ppdet.engine INFO: Epoch: [217] [380/523] learning_rate: 0.069750 loss_vfl: 0.788805 loss_bbox: 0.256061 loss_dfl: 0.178242 loss: 1.231637 eta: 1 day, 4:03:35 batch_cost: 2.3676 data_cost: 0.0013 ips: 23.6529 images/s [10/17 06:13:35] ppdet.engine INFO: Epoch: [217] [400/523] learning_rate: 0.069689 loss_vfl: 0.767651 loss_bbox: 0.267002 loss_dfl: 0.183111 loss: 1.226913 eta: 1 day, 4:02:49 batch_cost: 2.4037 data_cost: 0.0015 ips: 23.2975 images/s [10/17 06:14:27] ppdet.engine INFO: Epoch: [217] [420/523] learning_rate: 0.069628 loss_vfl: 0.779438 loss_bbox: 0.267285 loss_dfl: 0.184084 loss: 1.222825 eta: 1 day, 4:02:03 batch_cost: 2.4838 data_cost: 0.0026 ips: 22.5462 images/s [10/17 06:15:17] ppdet.engine INFO: Epoch: [217] [440/523] learning_rate: 0.069568 loss_vfl: 0.777570 loss_bbox: 0.277353 loss_dfl: 0.187772 loss: 1.256800 eta: 1 day, 4:01:16 batch_cost: 2.4040 data_cost: 0.0012 ips: 23.2948 images/s [10/17 06:16:06] ppdet.engine INFO: Epoch: [217] [460/523] learning_rate: 0.069507 loss_vfl: 0.779070 loss_bbox: 0.276848 loss_dfl: 0.182923 loss: 1.237062 eta: 1 day, 4:00:29 batch_cost: 2.3227 data_cost: 0.0012 ips: 24.1100 images/s [10/17 06:16:55] ppdet.engine INFO: Epoch: [217] [480/523] learning_rate: 0.069446 loss_vfl: 0.788055 loss_bbox: 0.265867 loss_dfl: 0.181339 loss: 1.229473 eta: 1 day, 3:59:42 batch_cost: 2.3355 data_cost: 0.0012 ips: 23.9776 images/s [10/17 06:17:43] ppdet.engine INFO: Epoch: [217] [500/523] learning_rate: 0.069386 loss_vfl: 0.777535 loss_bbox: 0.281076 loss_dfl: 0.188245 loss: 1.237500 eta: 1 day, 3:58:55 batch_cost: 2.3009 data_cost: 0.0013 ips: 24.3379 images/s [10/17 06:18:27] ppdet.engine INFO: Epoch: [217] [520/523] learning_rate: 0.069325 loss_vfl: 0.785201 loss_bbox: 0.248805 loss_dfl: 0.185270 loss: 1.206401 eta: 1 day, 3:58:06 batch_cost: 2.1042 data_cost: 0.0013 ips: 26.6140 images/s [10/17 06:18:58] ppdet.engine INFO: Epoch: [218] [ 0/523] learning_rate: 0.069316 loss_vfl: 0.778760 loss_bbox: 0.248534 loss_dfl: 0.181432 loss: 1.198949 eta: 1 day, 3:58:06 batch_cost: 3.0607 data_cost: 0.7336 ips: 18.2965 images/s [10/17 06:19:50] ppdet.engine INFO: Epoch: [218] [ 20/523] learning_rate: 0.069255 loss_vfl: 0.792924 loss_bbox: 0.272055 loss_dfl: 0.182601 loss: 1.244039 eta: 1 day, 3:57:20 batch_cost: 2.4455 data_cost: 0.0020 ips: 22.8992 images/s [10/17 06:20:39] ppdet.engine INFO: Epoch: [218] [ 40/523] learning_rate: 0.069195 loss_vfl: 0.783964 loss_bbox: 0.265814 loss_dfl: 0.182537 loss: 1.251968 eta: 1 day, 3:56:33 batch_cost: 2.3696 data_cost: 0.0014 ips: 23.6330 images/s [10/17 06:21:28] ppdet.engine INFO: Epoch: [218] [ 60/523] learning_rate: 0.069134 loss_vfl: 0.774882 loss_bbox: 0.259848 loss_dfl: 0.183269 loss: 1.240531 eta: 1 day, 3:55:46 batch_cost: 2.3486 data_cost: 0.0014 ips: 23.8445 images/s [10/17 06:22:18] ppdet.engine INFO: Epoch: [218] [ 80/523] learning_rate: 0.069074 loss_vfl: 0.762457 loss_bbox: 0.280817 loss_dfl: 0.186112 loss: 1.227806 eta: 1 day, 3:55:00 batch_cost: 2.3663 data_cost: 0.0014 ips: 23.6655 images/s [10/17 06:23:08] ppdet.engine INFO: Epoch: [218] [100/523] learning_rate: 0.069013 loss_vfl: 0.779982 loss_bbox: 0.265446 loss_dfl: 0.181849 loss: 1.221040 eta: 1 day, 3:54:13 batch_cost: 2.4124 data_cost: 0.0012 ips: 23.2132 images/s [10/17 06:23:56] ppdet.engine INFO: Epoch: [218] [120/523] learning_rate: 0.068952 loss_vfl: 0.769533 loss_bbox: 0.269243 loss_dfl: 0.181356 loss: 1.225611 eta: 1 day, 3:53:26 batch_cost: 2.3034 data_cost: 0.0012 ips: 24.3122 images/s [10/17 06:24:45] ppdet.engine INFO: Epoch: [218] [140/523] learning_rate: 0.068892 loss_vfl: 0.782549 loss_bbox: 0.279721 loss_dfl: 0.185167 loss: 1.244308 eta: 1 day, 3:52:39 batch_cost: 2.3247 data_cost: 0.0013 ips: 24.0892 images/s [10/17 06:25:35] ppdet.engine INFO: Epoch: [218] [160/523] learning_rate: 0.068832 loss_vfl: 0.784293 loss_bbox: 0.283327 loss_dfl: 0.189396 loss: 1.247965 eta: 1 day, 3:51:52 batch_cost: 2.4041 data_cost: 0.0012 ips: 23.2933 images/s [10/17 06:26:25] ppdet.engine INFO: Epoch: [218] [180/523] learning_rate: 0.068771 loss_vfl: 0.766164 loss_bbox: 0.264735 loss_dfl: 0.177130 loss: 1.214338 eta: 1 day, 3:51:05 batch_cost: 2.3450 data_cost: 0.0013 ips: 23.8804 images/s [10/17 06:27:14] ppdet.engine INFO: Epoch: [218] [200/523] learning_rate: 0.068711 loss_vfl: 0.778972 loss_bbox: 0.276342 loss_dfl: 0.181232 loss: 1.228518 eta: 1 day, 3:50:18 batch_cost: 2.3348 data_cost: 0.0013 ips: 23.9853 images/s [10/17 06:28:03] ppdet.engine INFO: Epoch: [218] [220/523] learning_rate: 0.068650 loss_vfl: 0.782956 loss_bbox: 0.266110 loss_dfl: 0.179562 loss: 1.238536 eta: 1 day, 3:49:31 batch_cost: 2.3636 data_cost: 0.0013 ips: 23.6923 images/s [10/17 06:28:53] ppdet.engine INFO: Epoch: [218] [240/523] learning_rate: 0.068590 loss_vfl: 0.778926 loss_bbox: 0.279544 loss_dfl: 0.189347 loss: 1.250571 eta: 1 day, 3:48:45 batch_cost: 2.3888 data_cost: 0.0013 ips: 23.4426 images/s [10/17 06:29:43] ppdet.engine INFO: Epoch: [218] [260/523] learning_rate: 0.068529 loss_vfl: 0.775398 loss_bbox: 0.266326 loss_dfl: 0.177165 loss: 1.239224 eta: 1 day, 3:47:58 batch_cost: 2.3798 data_cost: 0.0013 ips: 23.5315 images/s [10/17 06:30:33] ppdet.engine INFO: Epoch: [218] [280/523] learning_rate: 0.068469 loss_vfl: 0.775381 loss_bbox: 0.277541 loss_dfl: 0.189228 loss: 1.254577 eta: 1 day, 3:47:11 batch_cost: 2.4045 data_cost: 0.0013 ips: 23.2900 images/s [10/17 06:31:23] ppdet.engine INFO: Epoch: [218] [300/523] learning_rate: 0.068409 loss_vfl: 0.782023 loss_bbox: 0.260096 loss_dfl: 0.178832 loss: 1.233277 eta: 1 day, 3:46:25 batch_cost: 2.3846 data_cost: 0.0013 ips: 23.4842 images/s [10/17 06:32:13] ppdet.engine INFO: Epoch: [218] [320/523] learning_rate: 0.068349 loss_vfl: 0.781335 loss_bbox: 0.268611 loss_dfl: 0.184049 loss: 1.237994 eta: 1 day, 3:45:38 batch_cost: 2.3810 data_cost: 0.0013 ips: 23.5191 images/s [10/17 06:33:03] ppdet.engine INFO: Epoch: [218] [340/523] learning_rate: 0.068288 loss_vfl: 0.767019 loss_bbox: 0.284268 loss_dfl: 0.190445 loss: 1.238462 eta: 1 day, 3:44:51 batch_cost: 2.3926 data_cost: 0.0019 ips: 23.4054 images/s [10/17 06:33:52] ppdet.engine INFO: Epoch: [218] [360/523] learning_rate: 0.068228 loss_vfl: 0.764603 loss_bbox: 0.277206 loss_dfl: 0.189096 loss: 1.243261 eta: 1 day, 3:44:04 batch_cost: 2.3464 data_cost: 0.0013 ips: 23.8660 images/s [10/17 06:34:42] ppdet.engine INFO: Epoch: [218] [380/523] learning_rate: 0.068168 loss_vfl: 0.791892 loss_bbox: 0.263389 loss_dfl: 0.181811 loss: 1.232392 eta: 1 day, 3:43:18 batch_cost: 2.3763 data_cost: 0.0013 ips: 23.5662 images/s [10/17 06:35:32] ppdet.engine INFO: Epoch: [218] [400/523] learning_rate: 0.068108 loss_vfl: 0.776634 loss_bbox: 0.256394 loss_dfl: 0.183624 loss: 1.219139 eta: 1 day, 3:42:31 batch_cost: 2.3890 data_cost: 0.0013 ips: 23.4404 images/s [10/17 06:36:21] ppdet.engine INFO: Epoch: [218] [420/523] learning_rate: 0.068047 loss_vfl: 0.782456 loss_bbox: 0.267430 loss_dfl: 0.181645 loss: 1.257479 eta: 1 day, 3:41:44 batch_cost: 2.3516 data_cost: 0.0012 ips: 23.8136 images/s [10/17 06:37:11] ppdet.engine INFO: Epoch: [218] [440/523] learning_rate: 0.067987 loss_vfl: 0.795473 loss_bbox: 0.262603 loss_dfl: 0.184540 loss: 1.239014 eta: 1 day, 3:40:58 batch_cost: 2.3924 data_cost: 0.0013 ips: 23.4075 images/s [10/17 06:38:00] ppdet.engine INFO: Epoch: [218] [460/523] learning_rate: 0.067927 loss_vfl: 0.770847 loss_bbox: 0.275411 loss_dfl: 0.182476 loss: 1.221951 eta: 1 day, 3:40:10 batch_cost: 2.3206 data_cost: 0.0013 ips: 24.1313 images/s [10/17 06:38:49] ppdet.engine INFO: Epoch: [218] [480/523] learning_rate: 0.067867 loss_vfl: 0.785931 loss_bbox: 0.276798 loss_dfl: 0.184285 loss: 1.230461 eta: 1 day, 3:39:24 batch_cost: 2.3805 data_cost: 0.0013 ips: 23.5241 images/s [10/17 06:39:38] ppdet.engine INFO: Epoch: [218] [500/523] learning_rate: 0.067807 loss_vfl: 0.783064 loss_bbox: 0.279282 loss_dfl: 0.190003 loss: 1.248215 eta: 1 day, 3:38:37 batch_cost: 2.3392 data_cost: 0.0012 ips: 23.9397 images/s [10/17 06:40:21] ppdet.engine INFO: Epoch: [218] [520/523] learning_rate: 0.067747 loss_vfl: 0.775485 loss_bbox: 0.283297 loss_dfl: 0.184640 loss: 1.262195 eta: 1 day, 3:37:47 batch_cost: 2.0135 data_cost: 0.0012 ips: 27.8122 images/s [10/17 06:40:50] ppdet.engine INFO: Epoch: [219] [ 0/523] learning_rate: 0.067738 loss_vfl: 0.777039 loss_bbox: 0.283297 loss_dfl: 0.184640 loss: 1.262195 eta: 1 day, 3:37:47 batch_cost: 2.9135 data_cost: 0.6321 ips: 19.2212 images/s [10/17 06:41:44] ppdet.engine INFO: Epoch: [219] [ 20/523] learning_rate: 0.067678 loss_vfl: 0.776657 loss_bbox: 0.258666 loss_dfl: 0.174947 loss: 1.219068 eta: 1 day, 3:37:02 batch_cost: 2.5881 data_cost: 0.0019 ips: 21.6374 images/s [10/17 06:42:34] ppdet.engine INFO: Epoch: [219] [ 40/523] learning_rate: 0.067618 loss_vfl: 0.781486 loss_bbox: 0.265779 loss_dfl: 0.180336 loss: 1.220656 eta: 1 day, 3:36:15 batch_cost: 2.4077 data_cost: 0.0017 ips: 23.2588 images/s [10/17 06:43:25] ppdet.engine INFO: Epoch: [219] [ 60/523] learning_rate: 0.067557 loss_vfl: 0.774331 loss_bbox: 0.263578 loss_dfl: 0.177532 loss: 1.218574 eta: 1 day, 3:35:29 batch_cost: 2.4050 data_cost: 0.0024 ips: 23.2851 images/s [10/17 06:44:15] ppdet.engine INFO: Epoch: [219] [ 80/523] learning_rate: 0.067497 loss_vfl: 0.773989 loss_bbox: 0.277145 loss_dfl: 0.187837 loss: 1.230572 eta: 1 day, 3:34:42 batch_cost: 2.4249 data_cost: 0.0014 ips: 23.0941 images/s [10/17 06:45:05] ppdet.engine INFO: Epoch: [219] [100/523] learning_rate: 0.067438 loss_vfl: 0.765502 loss_bbox: 0.285592 loss_dfl: 0.194239 loss: 1.241433 eta: 1 day, 3:33:55 batch_cost: 2.3824 data_cost: 0.0013 ips: 23.5061 images/s [10/17 06:45:53] ppdet.engine INFO: Epoch: [219] [120/523] learning_rate: 0.067378 loss_vfl: 0.774438 loss_bbox: 0.275888 loss_dfl: 0.184785 loss: 1.239769 eta: 1 day, 3:33:08 batch_cost: 2.3095 data_cost: 0.0013 ips: 24.2472 images/s [10/17 06:46:42] ppdet.engine INFO: Epoch: [219] [140/523] learning_rate: 0.067318 loss_vfl: 0.778519 loss_bbox: 0.257277 loss_dfl: 0.177110 loss: 1.206055 eta: 1 day, 3:32:21 batch_cost: 2.3271 data_cost: 0.0026 ips: 24.0641 images/s [10/17 06:47:31] ppdet.engine INFO: Epoch: [219] [160/523] learning_rate: 0.067258 loss_vfl: 0.767213 loss_bbox: 0.267584 loss_dfl: 0.188691 loss: 1.218592 eta: 1 day, 3:31:34 batch_cost: 2.3579 data_cost: 0.0013 ips: 23.7499 images/s [10/17 06:48:20] ppdet.engine INFO: Epoch: [219] [180/523] learning_rate: 0.067198 loss_vfl: 0.765077 loss_bbox: 0.270762 loss_dfl: 0.188085 loss: 1.246373 eta: 1 day, 3:30:47 batch_cost: 2.3316 data_cost: 0.0030 ips: 24.0175 images/s [10/17 06:49:12] ppdet.engine INFO: Epoch: [219] [200/523] learning_rate: 0.067138 loss_vfl: 0.771531 loss_bbox: 0.270791 loss_dfl: 0.180226 loss: 1.238763 eta: 1 day, 3:30:01 batch_cost: 2.4836 data_cost: 0.0013 ips: 22.5480 images/s [10/17 06:50:03] ppdet.engine INFO: Epoch: [219] [220/523] learning_rate: 0.067078 loss_vfl: 0.775706 loss_bbox: 0.274898 loss_dfl: 0.184603 loss: 1.228877 eta: 1 day, 3:29:15 batch_cost: 2.4370 data_cost: 0.0023 ips: 22.9791 images/s [10/17 06:50:52] ppdet.engine INFO: Epoch: [219] [240/523] learning_rate: 0.067018 loss_vfl: 0.790336 loss_bbox: 0.270530 loss_dfl: 0.183527 loss: 1.246232 eta: 1 day, 3:28:28 batch_cost: 2.3546 data_cost: 0.0014 ips: 23.7836 images/s [10/17 06:51:40] ppdet.engine INFO: Epoch: [219] [260/523] learning_rate: 0.066958 loss_vfl: 0.777638 loss_bbox: 0.254131 loss_dfl: 0.173375 loss: 1.203158 eta: 1 day, 3:27:41 batch_cost: 2.2933 data_cost: 0.0012 ips: 24.4186 images/s [10/17 06:52:31] ppdet.engine INFO: Epoch: [219] [280/523] learning_rate: 0.066899 loss_vfl: 0.779918 loss_bbox: 0.277790 loss_dfl: 0.188466 loss: 1.245327 eta: 1 day, 3:26:54 batch_cost: 2.4310 data_cost: 0.0013 ips: 23.0357 images/s [10/17 06:53:19] ppdet.engine INFO: Epoch: [219] [300/523] learning_rate: 0.066839 loss_vfl: 0.791647 loss_bbox: 0.265705 loss_dfl: 0.180517 loss: 1.232192 eta: 1 day, 3:26:07 batch_cost: 2.3273 data_cost: 0.0013 ips: 24.0627 images/s [10/17 06:54:09] ppdet.engine INFO: Epoch: [219] [320/523] learning_rate: 0.066779 loss_vfl: 0.783600 loss_bbox: 0.256364 loss_dfl: 0.178996 loss: 1.235916 eta: 1 day, 3:25:21 batch_cost: 2.4062 data_cost: 0.0013 ips: 23.2729 images/s [10/17 06:55:00] ppdet.engine INFO: Epoch: [219] [340/523] learning_rate: 0.066719 loss_vfl: 0.782566 loss_bbox: 0.252225 loss_dfl: 0.176486 loss: 1.223322 eta: 1 day, 3:24:34 batch_cost: 2.3797 data_cost: 0.0019 ips: 23.5325 images/s [10/17 06:55:50] ppdet.engine INFO: Epoch: [219] [360/523] learning_rate: 0.066660 loss_vfl: 0.768641 loss_bbox: 0.276930 loss_dfl: 0.190753 loss: 1.234593 eta: 1 day, 3:23:47 batch_cost: 2.4197 data_cost: 0.0027 ips: 23.1438 images/s [10/17 06:56:38] ppdet.engine INFO: Epoch: [219] [380/523] learning_rate: 0.066600 loss_vfl: 0.772763 loss_bbox: 0.276963 loss_dfl: 0.186280 loss: 1.240760 eta: 1 day, 3:23:00 batch_cost: 2.2725 data_cost: 0.0013 ips: 24.6421 images/s [10/17 06:57:26] ppdet.engine INFO: Epoch: [219] [400/523] learning_rate: 0.066540 loss_vfl: 0.778674 loss_bbox: 0.261484 loss_dfl: 0.179954 loss: 1.217302 eta: 1 day, 3:22:13 batch_cost: 2.3164 data_cost: 0.0013 ips: 24.1759 images/s [10/17 06:58:15] ppdet.engine INFO: Epoch: [219] [420/523] learning_rate: 0.066481 loss_vfl: 0.777435 loss_bbox: 0.276763 loss_dfl: 0.190563 loss: 1.244399 eta: 1 day, 3:21:26 batch_cost: 2.3646 data_cost: 0.0026 ips: 23.6824 images/s [10/17 06:59:05] ppdet.engine INFO: Epoch: [219] [440/523] learning_rate: 0.066421 loss_vfl: 0.791603 loss_bbox: 0.279052 loss_dfl: 0.189211 loss: 1.251337 eta: 1 day, 3:20:39 batch_cost: 2.3726 data_cost: 0.0012 ips: 23.6026 images/s [10/17 06:59:53] ppdet.engine INFO: Epoch: [219] [460/523] learning_rate: 0.066361 loss_vfl: 0.784531 loss_bbox: 0.280484 loss_dfl: 0.182516 loss: 1.250298 eta: 1 day, 3:19:52 batch_cost: 2.2983 data_cost: 0.0012 ips: 24.3660 images/s [10/17 07:00:42] ppdet.engine INFO: Epoch: [219] [480/523] learning_rate: 0.066302 loss_vfl: 0.791775 loss_bbox: 0.259797 loss_dfl: 0.177060 loss: 1.216333 eta: 1 day, 3:19:05 batch_cost: 2.3447 data_cost: 0.0012 ips: 23.8837 images/s [10/17 07:01:31] ppdet.engine INFO: Epoch: [219] [500/523] learning_rate: 0.066242 loss_vfl: 0.779557 loss_bbox: 0.270261 loss_dfl: 0.177937 loss: 1.209472 eta: 1 day, 3:18:18 batch_cost: 2.3660 data_cost: 0.0013 ips: 23.6683 images/s [10/17 07:02:16] ppdet.engine INFO: Epoch: [219] [520/523] learning_rate: 0.066183 loss_vfl: 0.789503 loss_bbox: 0.273006 loss_dfl: 0.185010 loss: 1.235585 eta: 1 day, 3:17:29 batch_cost: 2.1164 data_cost: 0.0012 ips: 26.4598 images/s [10/17 07:02:24] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 07:02:25] ppdet.engine INFO: Eval iter: 0 [10/17 07:03:05] ppdet.engine INFO: Eval iter: 100 [10/17 07:03:25] ppdet.engine INFO: Eval iter: 200 [10/17 07:03:45] ppdet.engine INFO: Eval iter: 300 [10/17 07:04:05] ppdet.engine INFO: Eval iter: 400 [10/17 07:04:25] ppdet.engine INFO: Eval iter: 500 [10/17 07:04:45] ppdet.engine INFO: Eval iter: 600 [10/17 07:05:06] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/17 07:05:07] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.50s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.88s). Accumulating evaluation results... DONE (t=18.28s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.359 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.380 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 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 ] = 0.568 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.306 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.485 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.516 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.248 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.750 [10/17 07:07:13] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.94540128224518 [10/17 07:07:13] ppdet.engine INFO: Best test bbox ap is 0.360. [10/17 07:07:15] ppdet.engine INFO: Epoch: [220] [ 0/523] learning_rate: 0.066174 loss_vfl: 0.770907 loss_bbox: 0.271453 loss_dfl: 0.185010 loss: 1.231562 eta: 1 day, 3:17:22 batch_cost: 2.0450 data_cost: 0.0013 ips: 27.3833 images/s [10/17 07:08:08] ppdet.engine INFO: Epoch: [220] [ 20/523] learning_rate: 0.066114 loss_vfl: 0.766452 loss_bbox: 0.246682 loss_dfl: 0.176494 loss: 1.200977 eta: 1 day, 3:16:36 batch_cost: 2.5207 data_cost: 0.0014 ips: 22.2160 images/s [10/17 07:08:57] ppdet.engine INFO: Epoch: [220] [ 40/523] learning_rate: 0.066055 loss_vfl: 0.765082 loss_bbox: 0.261348 loss_dfl: 0.184008 loss: 1.206650 eta: 1 day, 3:15:49 batch_cost: 2.3831 data_cost: 0.0015 ips: 23.4988 images/s [10/17 07:09:47] ppdet.engine INFO: Epoch: [220] [ 60/523] learning_rate: 0.065995 loss_vfl: 0.768259 loss_bbox: 0.282077 loss_dfl: 0.194871 loss: 1.257942 eta: 1 day, 3:15:03 batch_cost: 2.3895 data_cost: 0.0022 ips: 23.4359 images/s [10/17 07:10:37] ppdet.engine INFO: Epoch: [220] [ 80/523] learning_rate: 0.065936 loss_vfl: 0.786464 loss_bbox: 0.275126 loss_dfl: 0.183358 loss: 1.231577 eta: 1 day, 3:14:16 batch_cost: 2.3829 data_cost: 0.0020 ips: 23.5003 images/s [10/17 07:11:27] ppdet.engine INFO: Epoch: [220] [100/523] learning_rate: 0.065877 loss_vfl: 0.773435 loss_bbox: 0.281978 loss_dfl: 0.180690 loss: 1.221001 eta: 1 day, 3:13:29 batch_cost: 2.3909 data_cost: 0.0013 ips: 23.4225 images/s [10/17 07:12:18] ppdet.engine INFO: Epoch: [220] [120/523] learning_rate: 0.065817 loss_vfl: 0.775170 loss_bbox: 0.276977 loss_dfl: 0.187337 loss: 1.242956 eta: 1 day, 3:12:43 batch_cost: 2.4114 data_cost: 0.0021 ips: 23.2228 images/s [10/17 07:13:07] ppdet.engine INFO: Epoch: [220] [140/523] learning_rate: 0.065758 loss_vfl: 0.774193 loss_bbox: 0.280841 loss_dfl: 0.187341 loss: 1.235697 eta: 1 day, 3:11:56 batch_cost: 2.3569 data_cost: 0.0014 ips: 23.7599 images/s [10/17 07:13:57] ppdet.engine INFO: Epoch: [220] [160/523] learning_rate: 0.065698 loss_vfl: 0.770625 loss_bbox: 0.271850 loss_dfl: 0.187608 loss: 1.241866 eta: 1 day, 3:11:09 batch_cost: 2.3906 data_cost: 0.0014 ips: 23.4249 images/s [10/17 07:14:47] ppdet.engine INFO: Epoch: [220] [180/523] learning_rate: 0.065639 loss_vfl: 0.786339 loss_bbox: 0.266501 loss_dfl: 0.180346 loss: 1.238758 eta: 1 day, 3:10:23 batch_cost: 2.3984 data_cost: 0.0013 ips: 23.3486 images/s [10/17 07:15:37] ppdet.engine INFO: Epoch: [220] [200/523] learning_rate: 0.065580 loss_vfl: 0.777989 loss_bbox: 0.273742 loss_dfl: 0.186149 loss: 1.236216 eta: 1 day, 3:09:36 batch_cost: 2.3786 data_cost: 0.0014 ips: 23.5434 images/s [10/17 07:16:27] ppdet.engine INFO: Epoch: [220] [220/523] learning_rate: 0.065520 loss_vfl: 0.768638 loss_bbox: 0.269245 loss_dfl: 0.180975 loss: 1.223263 eta: 1 day, 3:08:49 batch_cost: 2.3941 data_cost: 0.0013 ips: 23.3913 images/s [10/17 07:17:17] ppdet.engine INFO: Epoch: [220] [240/523] learning_rate: 0.065461 loss_vfl: 0.770742 loss_bbox: 0.253120 loss_dfl: 0.176024 loss: 1.211974 eta: 1 day, 3:08:03 batch_cost: 2.3890 data_cost: 0.0013 ips: 23.4407 images/s [10/17 07:18:07] ppdet.engine INFO: Epoch: [220] [260/523] learning_rate: 0.065402 loss_vfl: 0.772940 loss_bbox: 0.281714 loss_dfl: 0.187632 loss: 1.249600 eta: 1 day, 3:07:16 batch_cost: 2.3689 data_cost: 0.0017 ips: 23.6398 images/s [10/17 07:18:57] ppdet.engine INFO: Epoch: [220] [280/523] learning_rate: 0.065343 loss_vfl: 0.784731 loss_bbox: 0.269342 loss_dfl: 0.183174 loss: 1.245184 eta: 1 day, 3:06:29 batch_cost: 2.3883 data_cost: 0.0013 ips: 23.4476 images/s [10/17 07:19:45] ppdet.engine INFO: Epoch: [220] [300/523] learning_rate: 0.065284 loss_vfl: 0.764925 loss_bbox: 0.273733 loss_dfl: 0.181213 loss: 1.228697 eta: 1 day, 3:05:42 batch_cost: 2.3090 data_cost: 0.0015 ips: 24.2532 images/s [10/17 07:20:34] ppdet.engine INFO: Epoch: [220] [320/523] learning_rate: 0.065224 loss_vfl: 0.774784 loss_bbox: 0.274344 loss_dfl: 0.189119 loss: 1.243975 eta: 1 day, 3:04:55 batch_cost: 2.3279 data_cost: 0.0014 ips: 24.0560 images/s [10/17 07:21:23] ppdet.engine INFO: Epoch: [220] [340/523] learning_rate: 0.065165 loss_vfl: 0.786018 loss_bbox: 0.290885 loss_dfl: 0.183343 loss: 1.244754 eta: 1 day, 3:04:08 batch_cost: 2.3587 data_cost: 0.0014 ips: 23.7416 images/s [10/17 07:22:12] ppdet.engine INFO: Epoch: [220] [360/523] learning_rate: 0.065106 loss_vfl: 0.774897 loss_bbox: 0.266974 loss_dfl: 0.177673 loss: 1.217271 eta: 1 day, 3:03:21 batch_cost: 2.3344 data_cost: 0.0014 ips: 23.9889 images/s [10/17 07:23:01] ppdet.engine INFO: Epoch: [220] [380/523] learning_rate: 0.065047 loss_vfl: 0.766786 loss_bbox: 0.258650 loss_dfl: 0.178232 loss: 1.203343 eta: 1 day, 3:02:34 batch_cost: 2.3591 data_cost: 0.0014 ips: 23.7374 images/s [10/17 07:23:51] ppdet.engine INFO: Epoch: [220] [400/523] learning_rate: 0.064988 loss_vfl: 0.765830 loss_bbox: 0.276366 loss_dfl: 0.183289 loss: 1.245646 eta: 1 day, 3:01:47 batch_cost: 2.3904 data_cost: 0.0013 ips: 23.4266 images/s [10/17 07:24:41] ppdet.engine INFO: Epoch: [220] 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loss_bbox: 0.271685 loss_dfl: 0.185774 loss: 1.242516 eta: 1 day, 2:57:52 batch_cost: 2.3380 data_cost: 0.0013 ips: 23.9520 images/s [10/17 07:28:40] ppdet.engine INFO: Epoch: [220] [520/523] learning_rate: 0.064634 loss_vfl: 0.786753 loss_bbox: 0.264856 loss_dfl: 0.177239 loss: 1.228075 eta: 1 day, 2:57:03 batch_cost: 2.0341 data_cost: 0.0012 ips: 27.5311 images/s [10/17 07:29:08] ppdet.engine INFO: Epoch: [221] [ 0/523] learning_rate: 0.064625 loss_vfl: 0.790714 loss_bbox: 0.269888 loss_dfl: 0.177239 loss: 1.242429 eta: 1 day, 2:57:02 batch_cost: 2.8231 data_cost: 0.5387 ips: 19.8360 images/s [10/17 07:30:03] ppdet.engine INFO: Epoch: [221] [ 20/523] learning_rate: 0.064566 loss_vfl: 0.787705 loss_bbox: 0.279361 loss_dfl: 0.184940 loss: 1.236346 eta: 1 day, 2:56:17 batch_cost: 2.6681 data_cost: 0.0020 ips: 20.9885 images/s [10/17 07:30:54] ppdet.engine INFO: Epoch: [221] [ 40/523] learning_rate: 0.064507 loss_vfl: 0.774078 loss_bbox: 0.287806 loss_dfl: 0.191323 loss: 1.235557 eta: 1 day, 2:55:31 batch_cost: 2.4286 data_cost: 0.0021 ips: 23.0584 images/s [10/17 07:31:43] ppdet.engine INFO: Epoch: [221] [ 60/523] learning_rate: 0.064448 loss_vfl: 0.764493 loss_bbox: 0.274013 loss_dfl: 0.184755 loss: 1.212739 eta: 1 day, 2:54:43 batch_cost: 2.3101 data_cost: 0.0015 ips: 24.2412 images/s [10/17 07:32:32] ppdet.engine INFO: Epoch: [221] [ 80/523] learning_rate: 0.064389 loss_vfl: 0.761961 loss_bbox: 0.278045 loss_dfl: 0.188236 loss: 1.231571 eta: 1 day, 2:53:56 batch_cost: 2.3618 data_cost: 0.0014 ips: 23.7108 images/s [10/17 07:33:21] ppdet.engine INFO: Epoch: [221] [100/523] learning_rate: 0.064330 loss_vfl: 0.755643 loss_bbox: 0.261027 loss_dfl: 0.179090 loss: 1.191073 eta: 1 day, 2:53:09 batch_cost: 2.3250 data_cost: 0.0022 ips: 24.0860 images/s [10/17 07:34:11] ppdet.engine INFO: Epoch: [221] [120/523] learning_rate: 0.064271 loss_vfl: 0.772461 loss_bbox: 0.256098 loss_dfl: 0.177157 loss: 1.216076 eta: 1 day, 2:52:23 batch_cost: 2.3693 data_cost: 0.0013 ips: 23.6356 images/s [10/17 07:35:01] ppdet.engine INFO: Epoch: [221] [140/523] learning_rate: 0.064213 loss_vfl: 0.782466 loss_bbox: 0.273660 loss_dfl: 0.179030 loss: 1.236968 eta: 1 day, 2:51:36 batch_cost: 2.3991 data_cost: 0.0019 ips: 23.3423 images/s [10/17 07:35:51] ppdet.engine INFO: Epoch: [221] [160/523] learning_rate: 0.064154 loss_vfl: 0.778610 loss_bbox: 0.273047 loss_dfl: 0.188703 loss: 1.233104 eta: 1 day, 2:50:49 batch_cost: 2.3690 data_cost: 0.0019 ips: 23.6387 images/s [10/17 07:36:39] ppdet.engine INFO: Epoch: [221] [180/523] learning_rate: 0.064095 loss_vfl: 0.761667 loss_bbox: 0.283598 loss_dfl: 0.188245 loss: 1.249761 eta: 1 day, 2:50:02 batch_cost: 2.3004 data_cost: 0.0012 ips: 24.3440 images/s [10/17 07:37:29] ppdet.engine INFO: Epoch: [221] [200/523] learning_rate: 0.064036 loss_vfl: 0.775220 loss_bbox: 0.259287 loss_dfl: 0.184062 loss: 1.206047 eta: 1 day, 2:49:15 batch_cost: 2.3884 data_cost: 0.0029 ips: 23.4471 images/s [10/17 07:38:18] ppdet.engine INFO: Epoch: [221] [220/523] learning_rate: 0.063978 loss_vfl: 0.787039 loss_bbox: 0.266003 loss_dfl: 0.178315 loss: 1.231547 eta: 1 day, 2:48:28 batch_cost: 2.3373 data_cost: 0.0013 ips: 23.9590 images/s [10/17 07:39:07] ppdet.engine INFO: Epoch: [221] [240/523] learning_rate: 0.063919 loss_vfl: 0.782465 loss_bbox: 0.264515 loss_dfl: 0.177185 loss: 1.243459 eta: 1 day, 2:47:41 batch_cost: 2.3472 data_cost: 0.0019 ips: 23.8582 images/s [10/17 07:39:56] ppdet.engine INFO: Epoch: [221] [260/523] learning_rate: 0.063860 loss_vfl: 0.774845 loss_bbox: 0.255237 loss_dfl: 0.174016 loss: 1.203578 eta: 1 day, 2:46:54 batch_cost: 2.3418 data_cost: 0.0012 ips: 23.9135 images/s [10/17 07:40:46] ppdet.engine INFO: Epoch: [221] [280/523] learning_rate: 0.063802 loss_vfl: 0.772866 loss_bbox: 0.276987 loss_dfl: 0.181971 loss: 1.234550 eta: 1 day, 2:46:07 batch_cost: 2.3596 data_cost: 0.0013 ips: 23.7329 images/s [10/17 07:41:35] ppdet.engine INFO: Epoch: [221] [300/523] learning_rate: 0.063743 loss_vfl: 0.762812 loss_bbox: 0.267523 loss_dfl: 0.178590 loss: 1.196529 eta: 1 day, 2:45:20 batch_cost: 2.3675 data_cost: 0.0012 ips: 23.6541 images/s [10/17 07:42:24] ppdet.engine INFO: Epoch: [221] [320/523] learning_rate: 0.063684 loss_vfl: 0.777841 loss_bbox: 0.258931 loss_dfl: 0.179383 loss: 1.218168 eta: 1 day, 2:44:33 batch_cost: 2.3564 data_cost: 0.0012 ips: 23.7650 images/s [10/17 07:43:14] ppdet.engine INFO: Epoch: [221] [340/523] learning_rate: 0.063626 loss_vfl: 0.760658 loss_bbox: 0.273213 loss_dfl: 0.185145 loss: 1.211336 eta: 1 day, 2:43:47 batch_cost: 2.3584 data_cost: 0.0013 ips: 23.7448 images/s [10/17 07:44:04] ppdet.engine INFO: Epoch: [221] [360/523] learning_rate: 0.063567 loss_vfl: 0.776797 loss_bbox: 0.275216 loss_dfl: 0.181096 loss: 1.243311 eta: 1 day, 2:43:00 batch_cost: 2.3937 data_cost: 0.0012 ips: 23.3944 images/s [10/17 07:44:55] ppdet.engine INFO: Epoch: [221] [380/523] learning_rate: 0.063509 loss_vfl: 0.791339 loss_bbox: 0.266564 loss_dfl: 0.183335 loss: 1.252586 eta: 1 day, 2:42:14 batch_cost: 2.4496 data_cost: 0.0013 ips: 22.8611 images/s [10/17 07:45:44] ppdet.engine INFO: Epoch: [221] [400/523] learning_rate: 0.063450 loss_vfl: 0.766004 loss_bbox: 0.273842 loss_dfl: 0.180313 loss: 1.225116 eta: 1 day, 2:41:27 batch_cost: 2.3654 data_cost: 0.0025 ips: 23.6745 images/s [10/17 07:46:33] ppdet.engine INFO: Epoch: [221] [420/523] learning_rate: 0.063392 loss_vfl: 0.782613 loss_bbox: 0.271245 loss_dfl: 0.180616 loss: 1.226895 eta: 1 day, 2:40:40 batch_cost: 2.3089 data_cost: 0.0022 ips: 24.2537 images/s [10/17 07:47:23] ppdet.engine INFO: Epoch: [221] [440/523] learning_rate: 0.063333 loss_vfl: 0.750007 loss_bbox: 0.271149 loss_dfl: 0.180972 loss: 1.207650 eta: 1 day, 2:39:53 batch_cost: 2.3619 data_cost: 0.0012 ips: 23.7097 images/s [10/17 07:48:12] ppdet.engine INFO: Epoch: [221] [460/523] learning_rate: 0.063275 loss_vfl: 0.770236 loss_bbox: 0.290780 loss_dfl: 0.187487 loss: 1.251613 eta: 1 day, 2:39:05 batch_cost: 2.3094 data_cost: 0.0013 ips: 24.2489 images/s [10/17 07:49:01] ppdet.engine INFO: Epoch: [221] [480/523] learning_rate: 0.063216 loss_vfl: 0.773296 loss_bbox: 0.271630 loss_dfl: 0.183531 loss: 1.256533 eta: 1 day, 2:38:18 batch_cost: 2.3398 data_cost: 0.0012 ips: 23.9335 images/s [10/17 07:49:50] ppdet.engine INFO: Epoch: [221] [500/523] learning_rate: 0.063158 loss_vfl: 0.775889 loss_bbox: 0.267428 loss_dfl: 0.178056 loss: 1.227073 eta: 1 day, 2:37:31 batch_cost: 2.3501 data_cost: 0.0012 ips: 23.8290 images/s [10/17 07:50:33] ppdet.engine INFO: Epoch: [221] [520/523] learning_rate: 0.063099 loss_vfl: 0.788331 loss_bbox: 0.275579 loss_dfl: 0.184977 loss: 1.261047 eta: 1 day, 2:36:42 batch_cost: 2.0397 data_cost: 0.0012 ips: 27.4547 images/s [10/17 07:51:04] ppdet.engine INFO: Epoch: [222] [ 0/523] learning_rate: 0.063091 loss_vfl: 0.788331 loss_bbox: 0.275579 loss_dfl: 0.184977 loss: 1.250265 eta: 1 day, 2:36:42 batch_cost: 3.0432 data_cost: 0.7398 ips: 18.4018 images/s [10/17 07:51:56] ppdet.engine INFO: Epoch: [222] [ 20/523] learning_rate: 0.063032 loss_vfl: 0.756347 loss_bbox: 0.257250 loss_dfl: 0.176413 loss: 1.199711 eta: 1 day, 2:35:56 batch_cost: 2.5046 data_cost: 0.0014 ips: 22.3588 images/s [10/17 07:52:47] ppdet.engine INFO: Epoch: [222] [ 40/523] learning_rate: 0.062974 loss_vfl: 0.793918 loss_bbox: 0.284673 loss_dfl: 0.185375 loss: 1.257745 eta: 1 day, 2:35:10 batch_cost: 2.4057 data_cost: 0.0015 ips: 23.2778 images/s [10/17 07:53:36] ppdet.engine INFO: Epoch: [222] [ 60/523] learning_rate: 0.062916 loss_vfl: 0.746873 loss_bbox: 0.271395 loss_dfl: 0.180906 loss: 1.194779 eta: 1 day, 2:34:23 batch_cost: 2.3478 data_cost: 0.0014 ips: 23.8522 images/s [10/17 07:54:26] ppdet.engine INFO: Epoch: [222] [ 80/523] learning_rate: 0.062857 loss_vfl: 0.759680 loss_bbox: 0.264295 loss_dfl: 0.183244 loss: 1.195923 eta: 1 day, 2:33:36 batch_cost: 2.4097 data_cost: 0.0016 ips: 23.2395 images/s [10/17 07:55:16] ppdet.engine INFO: Epoch: [222] [100/523] learning_rate: 0.062799 loss_vfl: 0.753864 loss_bbox: 0.265097 loss_dfl: 0.186200 loss: 1.213561 eta: 1 day, 2:32:50 batch_cost: 2.3749 data_cost: 0.0017 ips: 23.5800 images/s [10/17 07:56:07] ppdet.engine INFO: Epoch: [222] [120/523] learning_rate: 0.062741 loss_vfl: 0.765445 loss_bbox: 0.288354 loss_dfl: 0.194643 loss: 1.240309 eta: 1 day, 2:32:03 batch_cost: 2.4109 data_cost: 0.0014 ips: 23.2275 images/s [10/17 07:56:56] ppdet.engine INFO: Epoch: [222] [140/523] learning_rate: 0.062682 loss_vfl: 0.770858 loss_bbox: 0.263162 loss_dfl: 0.176626 loss: 1.207034 eta: 1 day, 2:31:16 batch_cost: 2.3702 data_cost: 0.0013 ips: 23.6271 images/s [10/17 07:57:46] ppdet.engine INFO: Epoch: [222] [160/523] learning_rate: 0.062624 loss_vfl: 0.761919 loss_bbox: 0.269477 loss_dfl: 0.183196 loss: 1.236903 eta: 1 day, 2:30:29 batch_cost: 2.3837 data_cost: 0.0012 ips: 23.4925 images/s [10/17 07:58:35] ppdet.engine INFO: Epoch: [222] [180/523] learning_rate: 0.062566 loss_vfl: 0.783190 loss_bbox: 0.274781 loss_dfl: 0.186822 loss: 1.238712 eta: 1 day, 2:29:42 batch_cost: 2.3350 data_cost: 0.0013 ips: 23.9825 images/s [10/17 07:59:26] ppdet.engine INFO: Epoch: [222] [200/523] learning_rate: 0.062508 loss_vfl: 0.767718 loss_bbox: 0.263854 loss_dfl: 0.178090 loss: 1.226851 eta: 1 day, 2:28:56 batch_cost: 2.3973 data_cost: 0.0013 ips: 23.3594 images/s [10/17 08:00:16] ppdet.engine INFO: Epoch: [222] [220/523] learning_rate: 0.062450 loss_vfl: 0.782642 loss_bbox: 0.257469 loss_dfl: 0.182083 loss: 1.215065 eta: 1 day, 2:28:09 batch_cost: 2.4288 data_cost: 0.0017 ips: 23.0567 images/s [10/17 08:01:06] ppdet.engine INFO: Epoch: [222] [240/523] learning_rate: 0.062392 loss_vfl: 0.762283 loss_bbox: 0.272461 loss_dfl: 0.186571 loss: 1.229025 eta: 1 day, 2:27:22 batch_cost: 2.3495 data_cost: 0.0033 ips: 23.8350 images/s [10/17 08:01:55] ppdet.engine INFO: Epoch: [222] [260/523] learning_rate: 0.062333 loss_vfl: 0.764827 loss_bbox: 0.285784 loss_dfl: 0.191815 loss: 1.257878 eta: 1 day, 2:26:35 batch_cost: 2.3221 data_cost: 0.0013 ips: 24.1157 images/s [10/17 08:02:44] ppdet.engine INFO: Epoch: [222] [280/523] learning_rate: 0.062275 loss_vfl: 0.774462 loss_bbox: 0.270041 loss_dfl: 0.176123 loss: 1.205953 eta: 1 day, 2:25:48 batch_cost: 2.3512 data_cost: 0.0019 ips: 23.8174 images/s [10/17 08:03:33] ppdet.engine INFO: Epoch: [222] [300/523] learning_rate: 0.062217 loss_vfl: 0.771550 loss_bbox: 0.289373 loss_dfl: 0.190294 loss: 1.260606 eta: 1 day, 2:25:01 batch_cost: 2.3559 data_cost: 0.0012 ips: 23.7698 images/s [10/17 08:04:24] ppdet.engine INFO: Epoch: [222] [320/523] learning_rate: 0.062159 loss_vfl: 0.776832 loss_bbox: 0.271535 loss_dfl: 0.178877 loss: 1.220270 eta: 1 day, 2:24:15 batch_cost: 2.4122 data_cost: 0.0012 ips: 23.2150 images/s [10/17 08:05:12] ppdet.engine INFO: Epoch: [222] [340/523] learning_rate: 0.062101 loss_vfl: 0.773803 loss_bbox: 0.283621 loss_dfl: 0.185970 loss: 1.247972 eta: 1 day, 2:23:28 batch_cost: 2.2974 data_cost: 0.0012 ips: 24.3756 images/s [10/17 08:06:00] ppdet.engine INFO: Epoch: [222] [360/523] learning_rate: 0.062043 loss_vfl: 0.785121 loss_bbox: 0.270228 loss_dfl: 0.186849 loss: 1.248147 eta: 1 day, 2:22:40 batch_cost: 2.3037 data_cost: 0.0013 ips: 24.3090 images/s [10/17 08:06:49] ppdet.engine INFO: Epoch: [222] [380/523] learning_rate: 0.061985 loss_vfl: 0.761358 loss_bbox: 0.283605 loss_dfl: 0.182384 loss: 1.226752 eta: 1 day, 2:21:53 batch_cost: 2.3461 data_cost: 0.0012 ips: 23.8697 images/s [10/17 08:07:38] ppdet.engine INFO: Epoch: [222] [400/523] learning_rate: 0.061927 loss_vfl: 0.773178 loss_bbox: 0.284987 loss_dfl: 0.187405 loss: 1.247049 eta: 1 day, 2:21:06 batch_cost: 2.3259 data_cost: 0.0026 ips: 24.0762 images/s [10/17 08:08:28] ppdet.engine INFO: Epoch: [222] [420/523] learning_rate: 0.061869 loss_vfl: 0.772035 loss_bbox: 0.276844 loss_dfl: 0.186022 loss: 1.214277 eta: 1 day, 2:20:19 batch_cost: 2.3693 data_cost: 0.0012 ips: 23.6358 images/s [10/17 08:09:18] ppdet.engine INFO: Epoch: [222] [440/523] learning_rate: 0.061811 loss_vfl: 0.776587 loss_bbox: 0.266634 loss_dfl: 0.181563 loss: 1.215367 eta: 1 day, 2:19:33 batch_cost: 2.4003 data_cost: 0.0012 ips: 23.3303 images/s [10/17 08:10:06] ppdet.engine INFO: Epoch: [222] [460/523] learning_rate: 0.061754 loss_vfl: 0.781870 loss_bbox: 0.278314 loss_dfl: 0.183269 loss: 1.213214 eta: 1 day, 2:18:45 batch_cost: 2.3095 data_cost: 0.0012 ips: 24.2479 images/s [10/17 08:10:55] ppdet.engine INFO: Epoch: [222] [480/523] learning_rate: 0.061696 loss_vfl: 0.787106 loss_bbox: 0.276004 loss_dfl: 0.183532 loss: 1.254511 eta: 1 day, 2:17:58 batch_cost: 2.3164 data_cost: 0.0014 ips: 24.1757 images/s [10/17 08:11:45] ppdet.engine INFO: Epoch: [222] [500/523] learning_rate: 0.061638 loss_vfl: 0.782569 loss_bbox: 0.277583 loss_dfl: 0.180742 loss: 1.251664 eta: 1 day, 2:17:12 batch_cost: 2.3795 data_cost: 0.0014 ips: 23.5348 images/s [10/17 08:12:29] ppdet.engine INFO: Epoch: [222] [520/523] learning_rate: 0.061580 loss_vfl: 0.780692 loss_bbox: 0.264452 loss_dfl: 0.182858 loss: 1.215882 eta: 1 day, 2:16:23 batch_cost: 2.1077 data_cost: 0.0013 ips: 26.5688 images/s [10/17 08:12:56] ppdet.engine INFO: Epoch: [223] [ 0/523] learning_rate: 0.061571 loss_vfl: 0.779218 loss_bbox: 0.266668 loss_dfl: 0.181761 loss: 1.223727 eta: 1 day, 2:16:21 batch_cost: 2.8787 data_cost: 0.5421 ips: 19.4534 images/s [10/17 08:13:50] ppdet.engine INFO: Epoch: [223] [ 20/523] learning_rate: 0.061514 loss_vfl: 0.765392 loss_bbox: 0.268190 loss_dfl: 0.184212 loss: 1.230149 eta: 1 day, 2:15:36 batch_cost: 2.5805 data_cost: 0.0012 ips: 21.7016 images/s [10/17 08:14:41] ppdet.engine INFO: Epoch: [223] [ 40/523] learning_rate: 0.061456 loss_vfl: 0.764612 loss_bbox: 0.276115 loss_dfl: 0.179641 loss: 1.224403 eta: 1 day, 2:14:49 batch_cost: 2.4097 data_cost: 0.0014 ips: 23.2396 images/s [10/17 08:15:31] ppdet.engine INFO: Epoch: [223] [ 60/523] learning_rate: 0.061398 loss_vfl: 0.774070 loss_bbox: 0.269009 loss_dfl: 0.181229 loss: 1.229406 eta: 1 day, 2:14:03 batch_cost: 2.4121 data_cost: 0.0013 ips: 23.2164 images/s [10/17 08:16:21] ppdet.engine INFO: Epoch: [223] [ 80/523] learning_rate: 0.061340 loss_vfl: 0.762073 loss_bbox: 0.271801 loss_dfl: 0.188005 loss: 1.219284 eta: 1 day, 2:13:16 batch_cost: 2.3863 data_cost: 0.0019 ips: 23.4674 images/s [10/17 08:17:10] ppdet.engine INFO: Epoch: [223] [100/523] learning_rate: 0.061283 loss_vfl: 0.770478 loss_bbox: 0.280782 loss_dfl: 0.191496 loss: 1.239557 eta: 1 day, 2:12:29 batch_cost: 2.3593 data_cost: 0.0012 ips: 23.7355 images/s [10/17 08:18:00] ppdet.engine INFO: Epoch: [223] [120/523] learning_rate: 0.061225 loss_vfl: 0.785083 loss_bbox: 0.256352 loss_dfl: 0.176641 loss: 1.206274 eta: 1 day, 2:11:42 batch_cost: 2.3424 data_cost: 0.0013 ips: 23.9068 images/s [10/17 08:18:49] ppdet.engine INFO: Epoch: [223] [140/523] learning_rate: 0.061167 loss_vfl: 0.767950 loss_bbox: 0.255707 loss_dfl: 0.176412 loss: 1.188535 eta: 1 day, 2:10:55 batch_cost: 2.3422 data_cost: 0.0013 ips: 23.9088 images/s [10/17 08:19:38] ppdet.engine INFO: Epoch: [223] [160/523] learning_rate: 0.061110 loss_vfl: 0.756153 loss_bbox: 0.289172 loss_dfl: 0.193139 loss: 1.272600 eta: 1 day, 2:10:08 batch_cost: 2.3385 data_cost: 0.0018 ips: 23.9465 images/s [10/17 08:20:27] ppdet.engine INFO: Epoch: [223] [180/523] learning_rate: 0.061052 loss_vfl: 0.771760 loss_bbox: 0.277219 loss_dfl: 0.188279 loss: 1.235238 eta: 1 day, 2:09:21 batch_cost: 2.3628 data_cost: 0.0012 ips: 23.7009 images/s [10/17 08:21:17] ppdet.engine INFO: Epoch: [223] [200/523] learning_rate: 0.060994 loss_vfl: 0.782191 loss_bbox: 0.267327 loss_dfl: 0.184627 loss: 1.221921 eta: 1 day, 2:08:34 batch_cost: 2.3916 data_cost: 0.0013 ips: 23.4150 images/s [10/17 08:22:07] ppdet.engine INFO: Epoch: [223] [220/523] learning_rate: 0.060937 loss_vfl: 0.763184 loss_bbox: 0.268734 loss_dfl: 0.188987 loss: 1.213051 eta: 1 day, 2:07:48 batch_cost: 2.3712 data_cost: 0.0020 ips: 23.6170 images/s [10/17 08:22:57] ppdet.engine INFO: Epoch: [223] [240/523] learning_rate: 0.060879 loss_vfl: 0.787899 loss_bbox: 0.285804 loss_dfl: 0.187865 loss: 1.266047 eta: 1 day, 2:07:01 batch_cost: 2.4221 data_cost: 0.0012 ips: 23.1206 images/s [10/17 08:23:46] ppdet.engine INFO: Epoch: [223] [260/523] learning_rate: 0.060822 loss_vfl: 0.749339 loss_bbox: 0.278734 loss_dfl: 0.188155 loss: 1.249321 eta: 1 day, 2:06:14 batch_cost: 2.3342 data_cost: 0.0013 ips: 23.9908 images/s [10/17 08:24:34] ppdet.engine INFO: Epoch: [223] [280/523] learning_rate: 0.060764 loss_vfl: 0.773691 loss_bbox: 0.279570 loss_dfl: 0.184705 loss: 1.229355 eta: 1 day, 2:05:27 batch_cost: 2.2897 data_cost: 0.0012 ips: 24.4578 images/s [10/17 08:25:24] ppdet.engine INFO: Epoch: [223] [300/523] learning_rate: 0.060707 loss_vfl: 0.766868 loss_bbox: 0.269007 loss_dfl: 0.184620 loss: 1.212500 eta: 1 day, 2:04:40 batch_cost: 2.3863 data_cost: 0.0012 ips: 23.4677 images/s [10/17 08:26:12] ppdet.engine INFO: Epoch: [223] [320/523] learning_rate: 0.060649 loss_vfl: 0.768228 loss_bbox: 0.268543 loss_dfl: 0.183115 loss: 1.219148 eta: 1 day, 2:03:53 batch_cost: 2.2952 data_cost: 0.0013 ips: 24.3992 images/s [10/17 08:27:01] ppdet.engine INFO: Epoch: [223] [340/523] learning_rate: 0.060592 loss_vfl: 0.767007 loss_bbox: 0.263703 loss_dfl: 0.179723 loss: 1.222682 eta: 1 day, 2:03:06 batch_cost: 2.3365 data_cost: 0.0013 ips: 23.9673 images/s [10/17 08:27:51] ppdet.engine INFO: Epoch: [223] [360/523] learning_rate: 0.060534 loss_vfl: 0.762220 loss_bbox: 0.282976 loss_dfl: 0.184533 loss: 1.231600 eta: 1 day, 2:02:19 batch_cost: 2.3933 data_cost: 0.0013 ips: 23.3986 images/s [10/17 08:28:41] ppdet.engine INFO: Epoch: [223] [380/523] learning_rate: 0.060477 loss_vfl: 0.777865 loss_bbox: 0.267838 loss_dfl: 0.184305 loss: 1.229132 eta: 1 day, 2:01:32 batch_cost: 2.3600 data_cost: 0.0013 ips: 23.7285 images/s [10/17 08:29:31] ppdet.engine INFO: Epoch: [223] [400/523] learning_rate: 0.060420 loss_vfl: 0.762929 loss_bbox: 0.277070 loss_dfl: 0.188601 loss: 1.217706 eta: 1 day, 2:00:45 batch_cost: 2.3832 data_cost: 0.0019 ips: 23.4974 images/s [10/17 08:30:21] ppdet.engine INFO: Epoch: [223] [420/523] learning_rate: 0.060362 loss_vfl: 0.765256 loss_bbox: 0.271809 loss_dfl: 0.184943 loss: 1.227244 eta: 1 day, 1:59:58 batch_cost: 2.3853 data_cost: 0.0012 ips: 23.4769 images/s [10/17 08:31:08] ppdet.engine INFO: Epoch: [223] [440/523] learning_rate: 0.060305 loss_vfl: 0.765927 loss_bbox: 0.266855 loss_dfl: 0.178702 loss: 1.211471 eta: 1 day, 1:59:11 batch_cost: 2.2838 data_cost: 0.0012 ips: 24.5209 images/s [10/17 08:31:57] ppdet.engine INFO: Epoch: [223] [460/523] learning_rate: 0.060248 loss_vfl: 0.777952 loss_bbox: 0.263837 loss_dfl: 0.177672 loss: 1.213840 eta: 1 day, 1:58:24 batch_cost: 2.3268 data_cost: 0.0012 ips: 24.0677 images/s [10/17 08:32:46] ppdet.engine INFO: Epoch: [223] [480/523] learning_rate: 0.060190 loss_vfl: 0.774848 loss_bbox: 0.263371 loss_dfl: 0.176256 loss: 1.208339 eta: 1 day, 1:57:37 batch_cost: 2.3381 data_cost: 0.0013 ips: 23.9510 images/s [10/17 08:33:36] ppdet.engine INFO: Epoch: [223] [500/523] learning_rate: 0.060133 loss_vfl: 0.785355 loss_bbox: 0.281005 loss_dfl: 0.185031 loss: 1.243993 eta: 1 day, 1:56:50 batch_cost: 2.3672 data_cost: 0.0013 ips: 23.6570 images/s [10/17 08:34:20] ppdet.engine INFO: Epoch: [223] [520/523] learning_rate: 0.060076 loss_vfl: 0.774676 loss_bbox: 0.274966 loss_dfl: 0.179292 loss: 1.239445 eta: 1 day, 1:56:01 batch_cost: 2.0958 data_cost: 0.0013 ips: 26.7198 images/s [10/17 08:34:55] ppdet.engine INFO: Epoch: [224] [ 0/523] learning_rate: 0.060067 loss_vfl: 0.779001 loss_bbox: 0.269662 loss_dfl: 0.177130 loss: 1.228329 eta: 1 day, 1:56:03 batch_cost: 3.2882 data_cost: 0.3155 ips: 17.0305 images/s [10/17 08:35:47] ppdet.engine INFO: Epoch: [224] [ 20/523] learning_rate: 0.060010 loss_vfl: 0.769140 loss_bbox: 0.289047 loss_dfl: 0.189300 loss: 1.260877 eta: 1 day, 1:55:16 batch_cost: 2.4736 data_cost: 0.0035 ips: 22.6392 images/s [10/17 08:36:38] ppdet.engine INFO: Epoch: [224] [ 40/523] learning_rate: 0.059953 loss_vfl: 0.763454 loss_bbox: 0.275047 loss_dfl: 0.188693 loss: 1.234118 eta: 1 day, 1:54:30 batch_cost: 2.4785 data_cost: 0.0021 ips: 22.5946 images/s [10/17 08:37:30] ppdet.engine INFO: Epoch: [224] [ 60/523] learning_rate: 0.059896 loss_vfl: 0.775263 loss_bbox: 0.273814 loss_dfl: 0.187116 loss: 1.235064 eta: 1 day, 1:53:44 batch_cost: 2.4547 data_cost: 0.0015 ips: 22.8137 images/s [10/17 08:38:20] ppdet.engine INFO: Epoch: [224] [ 80/523] learning_rate: 0.059839 loss_vfl: 0.772048 loss_bbox: 0.274560 loss_dfl: 0.191989 loss: 1.244379 eta: 1 day, 1:52:57 batch_cost: 2.3977 data_cost: 0.0014 ips: 23.3558 images/s [10/17 08:39:10] ppdet.engine INFO: Epoch: [224] [100/523] learning_rate: 0.059781 loss_vfl: 0.781094 loss_bbox: 0.260251 loss_dfl: 0.183221 loss: 1.216645 eta: 1 day, 1:52:11 batch_cost: 2.3787 data_cost: 0.0013 ips: 23.5421 images/s [10/17 08:39:59] ppdet.engine INFO: Epoch: [224] [120/523] learning_rate: 0.059724 loss_vfl: 0.768287 loss_bbox: 0.260088 loss_dfl: 0.183580 loss: 1.231137 eta: 1 day, 1:51:24 batch_cost: 2.3491 data_cost: 0.0013 ips: 23.8392 images/s [10/17 08:40:47] ppdet.engine INFO: Epoch: [224] [140/523] learning_rate: 0.059667 loss_vfl: 0.759315 loss_bbox: 0.271884 loss_dfl: 0.181426 loss: 1.211276 eta: 1 day, 1:50:36 batch_cost: 2.3179 data_cost: 0.0015 ips: 24.1601 images/s [10/17 08:41:37] ppdet.engine INFO: Epoch: [224] [160/523] learning_rate: 0.059610 loss_vfl: 0.764771 loss_bbox: 0.280334 loss_dfl: 0.187210 loss: 1.233714 eta: 1 day, 1:49:50 batch_cost: 2.3842 data_cost: 0.0035 ips: 23.4879 images/s [10/17 08:42:28] ppdet.engine INFO: Epoch: [224] [180/523] learning_rate: 0.059553 loss_vfl: 0.781290 loss_bbox: 0.264358 loss_dfl: 0.180868 loss: 1.222692 eta: 1 day, 1:49:03 batch_cost: 2.4067 data_cost: 0.0013 ips: 23.2679 images/s [10/17 08:43:17] ppdet.engine INFO: Epoch: [224] [200/523] learning_rate: 0.059496 loss_vfl: 0.764939 loss_bbox: 0.260618 loss_dfl: 0.180536 loss: 1.210262 eta: 1 day, 1:48:16 batch_cost: 2.3560 data_cost: 0.0013 ips: 23.7689 images/s [10/17 08:44:06] ppdet.engine INFO: Epoch: [224] [220/523] learning_rate: 0.059439 loss_vfl: 0.766715 loss_bbox: 0.267751 loss_dfl: 0.186166 loss: 1.209578 eta: 1 day, 1:47:29 batch_cost: 2.3376 data_cost: 0.0013 ips: 23.9557 images/s [10/17 08:44:55] ppdet.engine INFO: Epoch: [224] [240/523] learning_rate: 0.059382 loss_vfl: 0.763436 loss_bbox: 0.280921 loss_dfl: 0.187586 loss: 1.222982 eta: 1 day, 1:46:42 batch_cost: 2.3252 data_cost: 0.0012 ips: 24.0841 images/s [10/17 08:45:44] ppdet.engine INFO: Epoch: [224] [260/523] learning_rate: 0.059325 loss_vfl: 0.760337 loss_bbox: 0.266105 loss_dfl: 0.181689 loss: 1.202883 eta: 1 day, 1:45:55 batch_cost: 2.3427 data_cost: 0.0013 ips: 23.9036 images/s [10/17 08:46:33] ppdet.engine INFO: Epoch: [224] [280/523] learning_rate: 0.059268 loss_vfl: 0.780352 loss_bbox: 0.278718 loss_dfl: 0.182800 loss: 1.225004 eta: 1 day, 1:45:08 batch_cost: 2.3453 data_cost: 0.0013 ips: 23.8776 images/s [10/17 08:47:22] ppdet.engine INFO: Epoch: [224] [300/523] learning_rate: 0.059212 loss_vfl: 0.778979 loss_bbox: 0.268735 loss_dfl: 0.183806 loss: 1.232711 eta: 1 day, 1:44:21 batch_cost: 2.3339 data_cost: 0.0014 ips: 23.9945 images/s [10/17 08:48:11] ppdet.engine INFO: Epoch: [224] [320/523] learning_rate: 0.059155 loss_vfl: 0.761946 loss_bbox: 0.260716 loss_dfl: 0.181929 loss: 1.196842 eta: 1 day, 1:43:34 batch_cost: 2.3678 data_cost: 0.0020 ips: 23.6504 images/s [10/17 08:49:00] ppdet.engine INFO: Epoch: [224] [340/523] learning_rate: 0.059098 loss_vfl: 0.765365 loss_bbox: 0.273699 loss_dfl: 0.184069 loss: 1.245566 eta: 1 day, 1:42:47 batch_cost: 2.3283 data_cost: 0.0012 ips: 24.0520 images/s [10/17 08:49:49] ppdet.engine INFO: Epoch: [224] [360/523] learning_rate: 0.059041 loss_vfl: 0.761887 loss_bbox: 0.276738 loss_dfl: 0.184839 loss: 1.238378 eta: 1 day, 1:42:00 batch_cost: 2.3517 data_cost: 0.0015 ips: 23.8130 images/s [10/17 08:50:40] ppdet.engine INFO: Epoch: [224] [380/523] learning_rate: 0.058984 loss_vfl: 0.765323 loss_bbox: 0.256085 loss_dfl: 0.180142 loss: 1.217354 eta: 1 day, 1:41:13 batch_cost: 2.3980 data_cost: 0.0019 ips: 23.3530 images/s [10/17 08:51:28] ppdet.engine INFO: Epoch: [224] [400/523] learning_rate: 0.058927 loss_vfl: 0.767035 loss_bbox: 0.251717 loss_dfl: 0.172094 loss: 1.194024 eta: 1 day, 1:40:26 batch_cost: 2.3098 data_cost: 0.0014 ips: 24.2441 images/s [10/17 08:52:18] ppdet.engine INFO: Epoch: [224] [420/523] learning_rate: 0.058871 loss_vfl: 0.775793 loss_bbox: 0.271338 loss_dfl: 0.187424 loss: 1.238878 eta: 1 day, 1:39:39 batch_cost: 2.3666 data_cost: 0.0012 ips: 23.6622 images/s [10/17 08:53:07] ppdet.engine INFO: Epoch: [224] [440/523] learning_rate: 0.058814 loss_vfl: 0.775789 loss_bbox: 0.267909 loss_dfl: 0.185690 loss: 1.228765 eta: 1 day, 1:38:52 batch_cost: 2.3654 data_cost: 0.0019 ips: 23.6750 images/s [10/17 08:53:56] ppdet.engine INFO: Epoch: [224] [460/523] learning_rate: 0.058757 loss_vfl: 0.769472 loss_bbox: 0.259120 loss_dfl: 0.180942 loss: 1.217007 eta: 1 day, 1:38:05 batch_cost: 2.3184 data_cost: 0.0012 ips: 24.1549 images/s [10/17 08:54:45] ppdet.engine INFO: Epoch: [224] [480/523] learning_rate: 0.058700 loss_vfl: 0.763501 loss_bbox: 0.264771 loss_dfl: 0.177307 loss: 1.205864 eta: 1 day, 1:37:18 batch_cost: 2.3248 data_cost: 0.0013 ips: 24.0882 images/s [10/17 08:55:34] ppdet.engine INFO: Epoch: [224] [500/523] learning_rate: 0.058644 loss_vfl: 0.759445 loss_bbox: 0.259069 loss_dfl: 0.176542 loss: 1.197331 eta: 1 day, 1:36:31 batch_cost: 2.3566 data_cost: 0.0025 ips: 23.7633 images/s [10/17 08:56:18] ppdet.engine INFO: Epoch: [224] [520/523] learning_rate: 0.058587 loss_vfl: 0.770506 loss_bbox: 0.273890 loss_dfl: 0.181670 loss: 1.248084 eta: 1 day, 1:35:42 batch_cost: 2.0988 data_cost: 0.0012 ips: 26.6825 images/s [10/17 08:56:51] ppdet.engine INFO: Epoch: [225] [ 0/523] learning_rate: 0.058579 loss_vfl: 0.770506 loss_bbox: 0.269289 loss_dfl: 0.179572 loss: 1.239669 eta: 1 day, 1:35:42 batch_cost: 3.1241 data_cost: 0.7748 ips: 17.9253 images/s [10/17 08:57:42] ppdet.engine INFO: Epoch: [225] [ 20/523] learning_rate: 0.058522 loss_vfl: 0.772312 loss_bbox: 0.284237 loss_dfl: 0.183729 loss: 1.253970 eta: 1 day, 1:34:56 batch_cost: 2.4394 data_cost: 0.0023 ips: 22.9567 images/s [10/17 08:58:31] ppdet.engine INFO: Epoch: [225] [ 40/523] learning_rate: 0.058465 loss_vfl: 0.766938 loss_bbox: 0.276858 loss_dfl: 0.182830 loss: 1.221581 eta: 1 day, 1:34:09 batch_cost: 2.3721 data_cost: 0.0033 ips: 23.6073 images/s [10/17 08:59:21] ppdet.engine INFO: Epoch: [225] [ 60/523] learning_rate: 0.058409 loss_vfl: 0.772861 loss_bbox: 0.269200 loss_dfl: 0.180746 loss: 1.225428 eta: 1 day, 1:33:22 batch_cost: 2.3611 data_cost: 0.0012 ips: 23.7178 images/s [10/17 09:00:10] ppdet.engine INFO: Epoch: [225] [ 80/523] learning_rate: 0.058352 loss_vfl: 0.774467 loss_bbox: 0.284883 loss_dfl: 0.190590 loss: 1.240299 eta: 1 day, 1:32:35 batch_cost: 2.3634 data_cost: 0.0013 ips: 23.6944 images/s [10/17 09:01:01] ppdet.engine INFO: Epoch: [225] [100/523] learning_rate: 0.058296 loss_vfl: 0.773016 loss_bbox: 0.270315 loss_dfl: 0.181651 loss: 1.221390 eta: 1 day, 1:31:49 batch_cost: 2.4231 data_cost: 0.0021 ips: 23.1109 images/s [10/17 09:01:50] ppdet.engine INFO: Epoch: [225] [120/523] learning_rate: 0.058239 loss_vfl: 0.767125 loss_bbox: 0.270716 loss_dfl: 0.179528 loss: 1.226712 eta: 1 day, 1:31:02 batch_cost: 2.3390 data_cost: 0.0014 ips: 23.9422 images/s [10/17 09:02:39] ppdet.engine INFO: Epoch: [225] [140/523] learning_rate: 0.058183 loss_vfl: 0.779893 loss_bbox: 0.264860 loss_dfl: 0.185834 loss: 1.227873 eta: 1 day, 1:30:15 batch_cost: 2.3629 data_cost: 0.0013 ips: 23.6993 images/s [10/17 09:03:28] ppdet.engine INFO: Epoch: [225] [160/523] learning_rate: 0.058126 loss_vfl: 0.753889 loss_bbox: 0.273965 loss_dfl: 0.189449 loss: 1.225733 eta: 1 day, 1:29:28 batch_cost: 2.3486 data_cost: 0.0013 ips: 23.8440 images/s [10/17 09:04:17] ppdet.engine INFO: Epoch: [225] [180/523] learning_rate: 0.058070 loss_vfl: 0.757631 loss_bbox: 0.290945 loss_dfl: 0.193290 loss: 1.242863 eta: 1 day, 1:28:41 batch_cost: 2.3425 data_cost: 0.0013 ips: 23.9066 images/s [10/17 09:05:07] ppdet.engine INFO: Epoch: [225] [200/523] learning_rate: 0.058013 loss_vfl: 0.752402 loss_bbox: 0.267279 loss_dfl: 0.180789 loss: 1.211857 eta: 1 day, 1:27:54 batch_cost: 2.3588 data_cost: 0.0013 ips: 23.7409 images/s [10/17 09:05:56] ppdet.engine INFO: Epoch: [225] [220/523] learning_rate: 0.057957 loss_vfl: 0.762405 loss_bbox: 0.271611 loss_dfl: 0.183340 loss: 1.215227 eta: 1 day, 1:27:07 batch_cost: 2.3367 data_cost: 0.0014 ips: 23.9651 images/s [10/17 09:06:45] ppdet.engine INFO: Epoch: [225] [240/523] learning_rate: 0.057901 loss_vfl: 0.774311 loss_bbox: 0.274130 loss_dfl: 0.186152 loss: 1.247712 eta: 1 day, 1:26:20 batch_cost: 2.3538 data_cost: 0.0025 ips: 23.7918 images/s [10/17 09:07:34] ppdet.engine INFO: Epoch: [225] [260/523] learning_rate: 0.057844 loss_vfl: 0.754167 loss_bbox: 0.256404 loss_dfl: 0.177659 loss: 1.206521 eta: 1 day, 1:25:33 batch_cost: 2.3104 data_cost: 0.0014 ips: 24.2380 images/s [10/17 09:08:22] ppdet.engine INFO: Epoch: [225] [280/523] learning_rate: 0.057788 loss_vfl: 0.757874 loss_bbox: 0.274206 loss_dfl: 0.181588 loss: 1.219901 eta: 1 day, 1:24:45 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2057 images/s [10/17 09:09:12] ppdet.engine INFO: Epoch: [225] [300/523] learning_rate: 0.057732 loss_vfl: 0.751434 loss_bbox: 0.277003 loss_dfl: 0.188125 loss: 1.222837 eta: 1 day, 1:23:59 batch_cost: 2.3885 data_cost: 0.0012 ips: 23.4452 images/s [10/17 09:10:00] ppdet.engine INFO: Epoch: [225] [320/523] learning_rate: 0.057675 loss_vfl: 0.763551 loss_bbox: 0.275714 loss_dfl: 0.189199 loss: 1.217403 eta: 1 day, 1:23:11 batch_cost: 2.2909 data_cost: 0.0013 ips: 24.4448 images/s [10/17 09:10:52] ppdet.engine INFO: Epoch: [225] [340/523] learning_rate: 0.057619 loss_vfl: 0.765088 loss_bbox: 0.269057 loss_dfl: 0.180948 loss: 1.216243 eta: 1 day, 1:22:25 batch_cost: 2.4776 data_cost: 0.0023 ips: 22.6024 images/s [10/17 09:11:42] ppdet.engine INFO: Epoch: [225] [360/523] learning_rate: 0.057563 loss_vfl: 0.783615 loss_bbox: 0.289872 loss_dfl: 0.183046 loss: 1.222682 eta: 1 day, 1:21:39 batch_cost: 2.3889 data_cost: 0.0033 ips: 23.4413 images/s [10/17 09:12:31] ppdet.engine INFO: Epoch: [225] [380/523] learning_rate: 0.057507 loss_vfl: 0.777885 loss_bbox: 0.273528 loss_dfl: 0.186421 loss: 1.231049 eta: 1 day, 1:20:52 batch_cost: 2.3552 data_cost: 0.0019 ips: 23.7774 images/s [10/17 09:13:21] ppdet.engine INFO: Epoch: [225] [400/523] learning_rate: 0.057451 loss_vfl: 0.773136 loss_bbox: 0.273676 loss_dfl: 0.180836 loss: 1.237327 eta: 1 day, 1:20:05 batch_cost: 2.3918 data_cost: 0.0013 ips: 23.4137 images/s [10/17 09:14:11] ppdet.engine INFO: Epoch: [225] [420/523] learning_rate: 0.057394 loss_vfl: 0.796419 loss_bbox: 0.278185 loss_dfl: 0.187900 loss: 1.271631 eta: 1 day, 1:19:18 batch_cost: 2.3635 data_cost: 0.0024 ips: 23.6937 images/s [10/17 09:14:59] ppdet.engine INFO: Epoch: [225] [440/523] learning_rate: 0.057338 loss_vfl: 0.765291 loss_bbox: 0.274859 loss_dfl: 0.191475 loss: 1.243103 eta: 1 day, 1:18:31 batch_cost: 2.3254 data_cost: 0.0012 ips: 24.0823 images/s [10/17 09:15:48] ppdet.engine INFO: Epoch: [225] [460/523] learning_rate: 0.057282 loss_vfl: 0.767261 loss_bbox: 0.268137 loss_dfl: 0.185356 loss: 1.236728 eta: 1 day, 1:17:44 batch_cost: 2.3247 data_cost: 0.0012 ips: 24.0889 images/s [10/17 09:16:36] ppdet.engine INFO: Epoch: [225] [480/523] learning_rate: 0.057226 loss_vfl: 0.770112 loss_bbox: 0.240752 loss_dfl: 0.170595 loss: 1.179077 eta: 1 day, 1:16:56 batch_cost: 2.3010 data_cost: 0.0016 ips: 24.3373 images/s [10/17 09:17:27] ppdet.engine INFO: Epoch: [225] [500/523] learning_rate: 0.057170 loss_vfl: 0.765599 loss_bbox: 0.289154 loss_dfl: 0.183975 loss: 1.231130 eta: 1 day, 1:16:10 batch_cost: 2.4325 data_cost: 0.0021 ips: 23.0216 images/s [10/17 09:18:11] ppdet.engine INFO: Epoch: [225] [520/523] learning_rate: 0.057114 loss_vfl: 0.772396 loss_bbox: 0.275450 loss_dfl: 0.185241 loss: 1.233432 eta: 1 day, 1:15:21 batch_cost: 2.0656 data_cost: 0.0019 ips: 27.1104 images/s [10/17 09:18:43] ppdet.engine INFO: Epoch: [226] [ 0/523] learning_rate: 0.057105 loss_vfl: 0.772396 loss_bbox: 0.277203 loss_dfl: 0.190823 loss: 1.242981 eta: 1 day, 1:15:21 batch_cost: 3.1588 data_cost: 0.8447 ips: 17.7285 images/s [10/17 09:19:34] ppdet.engine INFO: Epoch: [226] [ 20/523] learning_rate: 0.057049 loss_vfl: 0.764078 loss_bbox: 0.258299 loss_dfl: 0.183704 loss: 1.211788 eta: 1 day, 1:14:35 batch_cost: 2.4284 data_cost: 0.0015 ips: 23.0601 images/s [10/17 09:20:24] ppdet.engine INFO: Epoch: [226] [ 40/523] learning_rate: 0.056993 loss_vfl: 0.771091 loss_bbox: 0.260584 loss_dfl: 0.179832 loss: 1.202681 eta: 1 day, 1:13:48 batch_cost: 2.3856 data_cost: 0.0014 ips: 23.4739 images/s [10/17 09:21:15] ppdet.engine INFO: Epoch: [226] [ 60/523] learning_rate: 0.056937 loss_vfl: 0.754777 loss_bbox: 0.252742 loss_dfl: 0.179229 loss: 1.178109 eta: 1 day, 1:13:02 batch_cost: 2.4316 data_cost: 0.0013 ips: 23.0296 images/s [10/17 09:22:04] ppdet.engine INFO: Epoch: [226] [ 80/523] learning_rate: 0.056881 loss_vfl: 0.759548 loss_bbox: 0.274633 loss_dfl: 0.188459 loss: 1.225841 eta: 1 day, 1:12:15 batch_cost: 2.3661 data_cost: 0.0015 ips: 23.6681 images/s [10/17 09:22:54] ppdet.engine INFO: Epoch: [226] [100/523] learning_rate: 0.056826 loss_vfl: 0.750908 loss_bbox: 0.272583 loss_dfl: 0.179689 loss: 1.206241 eta: 1 day, 1:11:28 batch_cost: 2.3670 data_cost: 0.0012 ips: 23.6588 images/s [10/17 09:23:45] ppdet.engine INFO: Epoch: [226] [120/523] learning_rate: 0.056770 loss_vfl: 0.751705 loss_bbox: 0.268835 loss_dfl: 0.186936 loss: 1.216365 eta: 1 day, 1:10:42 batch_cost: 2.4715 data_cost: 0.0024 ips: 22.6580 images/s [10/17 09:24:34] ppdet.engine INFO: Epoch: [226] [140/523] learning_rate: 0.056714 loss_vfl: 0.765385 loss_bbox: 0.272703 loss_dfl: 0.178652 loss: 1.204231 eta: 1 day, 1:09:55 batch_cost: 2.3203 data_cost: 0.0012 ips: 24.1352 images/s [10/17 09:25:22] ppdet.engine INFO: Epoch: [226] [160/523] learning_rate: 0.056658 loss_vfl: 0.767786 loss_bbox: 0.282473 loss_dfl: 0.180920 loss: 1.234312 eta: 1 day, 1:09:07 batch_cost: 2.2927 data_cost: 0.0038 ips: 24.4257 images/s [10/17 09:26:12] ppdet.engine INFO: Epoch: [226] [180/523] learning_rate: 0.056602 loss_vfl: 0.758618 loss_bbox: 0.277910 loss_dfl: 0.187749 loss: 1.238782 eta: 1 day, 1:08:20 batch_cost: 2.3969 data_cost: 0.0013 ips: 23.3633 images/s [10/17 09:27:02] ppdet.engine INFO: Epoch: [226] [200/523] learning_rate: 0.056546 loss_vfl: 0.761930 loss_bbox: 0.265566 loss_dfl: 0.177738 loss: 1.191166 eta: 1 day, 1:07:34 batch_cost: 2.3684 data_cost: 0.0012 ips: 23.6447 images/s [10/17 09:27:51] ppdet.engine INFO: Epoch: [226] [220/523] learning_rate: 0.056490 loss_vfl: 0.767390 loss_bbox: 0.281148 loss_dfl: 0.189417 loss: 1.224265 eta: 1 day, 1:06:47 batch_cost: 2.3578 data_cost: 0.0012 ips: 23.7506 images/s [10/17 09:28:39] ppdet.engine INFO: Epoch: [226] [240/523] learning_rate: 0.056435 loss_vfl: 0.778418 loss_bbox: 0.268984 loss_dfl: 0.182597 loss: 1.211495 eta: 1 day, 1:05:59 batch_cost: 2.3132 data_cost: 0.0013 ips: 24.2093 images/s [10/17 09:29:28] ppdet.engine INFO: Epoch: [226] [260/523] learning_rate: 0.056379 loss_vfl: 0.776719 loss_bbox: 0.283941 loss_dfl: 0.191712 loss: 1.245558 eta: 1 day, 1:05:12 batch_cost: 2.3073 data_cost: 0.0033 ips: 24.2710 images/s [10/17 09:30:16] ppdet.engine INFO: Epoch: [226] [280/523] learning_rate: 0.056323 loss_vfl: 0.760276 loss_bbox: 0.267947 loss_dfl: 0.176990 loss: 1.218550 eta: 1 day, 1:04:25 batch_cost: 2.3160 data_cost: 0.0014 ips: 24.1796 images/s [10/17 09:31:05] ppdet.engine INFO: Epoch: [226] [300/523] learning_rate: 0.056267 loss_vfl: 0.771546 loss_bbox: 0.277153 loss_dfl: 0.189568 loss: 1.230793 eta: 1 day, 1:03:38 batch_cost: 2.3326 data_cost: 0.0013 ips: 24.0074 images/s [10/17 09:31:54] ppdet.engine INFO: Epoch: [226] [320/523] learning_rate: 0.056212 loss_vfl: 0.769787 loss_bbox: 0.257454 loss_dfl: 0.182649 loss: 1.229702 eta: 1 day, 1:02:51 batch_cost: 2.3482 data_cost: 0.0016 ips: 23.8484 images/s [10/17 09:32:44] ppdet.engine INFO: Epoch: [226] [340/523] learning_rate: 0.056156 loss_vfl: 0.757388 loss_bbox: 0.269202 loss_dfl: 0.179956 loss: 1.212146 eta: 1 day, 1:02:04 batch_cost: 2.4007 data_cost: 0.0014 ips: 23.3261 images/s [10/17 09:33:35] ppdet.engine INFO: Epoch: [226] [360/523] learning_rate: 0.056101 loss_vfl: 0.759712 loss_bbox: 0.260912 loss_dfl: 0.175473 loss: 1.181677 eta: 1 day, 1:01:18 batch_cost: 2.4364 data_cost: 0.0014 ips: 22.9849 images/s [10/17 09:34:25] ppdet.engine INFO: Epoch: [226] [380/523] learning_rate: 0.056045 loss_vfl: 0.770362 loss_bbox: 0.268384 loss_dfl: 0.182606 loss: 1.238075 eta: 1 day, 1:00:31 batch_cost: 2.3779 data_cost: 0.0013 ips: 23.5503 images/s [10/17 09:35:15] ppdet.engine INFO: Epoch: [226] [400/523] learning_rate: 0.055989 loss_vfl: 0.764579 loss_bbox: 0.257122 loss_dfl: 0.180766 loss: 1.224754 eta: 1 day, 0:59:44 batch_cost: 2.3700 data_cost: 0.0018 ips: 23.6290 images/s [10/17 09:36:04] ppdet.engine INFO: Epoch: [226] [420/523] learning_rate: 0.055934 loss_vfl: 0.768245 loss_bbox: 0.291904 loss_dfl: 0.190494 loss: 1.247963 eta: 1 day, 0:58:57 batch_cost: 2.3528 data_cost: 0.0012 ips: 23.8011 images/s [10/17 09:36:54] ppdet.engine INFO: Epoch: [226] [440/523] learning_rate: 0.055878 loss_vfl: 0.781953 loss_bbox: 0.244296 loss_dfl: 0.174339 loss: 1.199503 eta: 1 day, 0:58:11 batch_cost: 2.4226 data_cost: 0.0012 ips: 23.1160 images/s [10/17 09:37:44] ppdet.engine INFO: Epoch: [226] [460/523] learning_rate: 0.055823 loss_vfl: 0.772543 loss_bbox: 0.270652 loss_dfl: 0.182833 loss: 1.221217 eta: 1 day, 0:57:24 batch_cost: 2.3818 data_cost: 0.0014 ips: 23.5113 images/s [10/17 09:38:33] ppdet.engine INFO: Epoch: [226] [480/523] learning_rate: 0.055767 loss_vfl: 0.764584 loss_bbox: 0.265286 loss_dfl: 0.186973 loss: 1.210114 eta: 1 day, 0:56:37 batch_cost: 2.3009 data_cost: 0.0014 ips: 24.3387 images/s [10/17 09:39:22] ppdet.engine INFO: Epoch: [226] [500/523] learning_rate: 0.055712 loss_vfl: 0.783955 loss_bbox: 0.270021 loss_dfl: 0.182694 loss: 1.230745 eta: 1 day, 0:55:50 batch_cost: 2.3536 data_cost: 0.0013 ips: 23.7932 images/s [10/17 09:40:04] ppdet.engine INFO: Epoch: [226] [520/523] learning_rate: 0.055656 loss_vfl: 0.772323 loss_bbox: 0.273193 loss_dfl: 0.185907 loss: 1.243269 eta: 1 day, 0:55:00 batch_cost: 2.0108 data_cost: 0.0012 ips: 27.8493 images/s [10/17 09:40:35] ppdet.engine INFO: Epoch: [227] [ 0/523] learning_rate: 0.055648 loss_vfl: 0.768495 loss_bbox: 0.268151 loss_dfl: 0.184768 loss: 1.236130 eta: 1 day, 0:55:00 batch_cost: 2.9951 data_cost: 0.2548 ips: 18.6971 images/s [10/17 09:41:27] ppdet.engine INFO: Epoch: [227] [ 20/523] learning_rate: 0.055593 loss_vfl: 0.771433 loss_bbox: 0.273112 loss_dfl: 0.179103 loss: 1.224364 eta: 1 day, 0:54:14 batch_cost: 2.4986 data_cost: 0.0016 ips: 22.4124 images/s [10/17 09:42:17] ppdet.engine INFO: Epoch: [227] [ 40/523] learning_rate: 0.055537 loss_vfl: 0.759783 loss_bbox: 0.247099 loss_dfl: 0.173817 loss: 1.193074 eta: 1 day, 0:53:27 batch_cost: 2.3980 data_cost: 0.0015 ips: 23.3529 images/s [10/17 09:43:07] ppdet.engine INFO: Epoch: [227] [ 60/523] learning_rate: 0.055482 loss_vfl: 0.766620 loss_bbox: 0.281702 loss_dfl: 0.181317 loss: 1.237440 eta: 1 day, 0:52:40 batch_cost: 2.3769 data_cost: 0.0021 ips: 23.5599 images/s [10/17 09:43:56] ppdet.engine INFO: Epoch: [227] [ 80/523] learning_rate: 0.055426 loss_vfl: 0.765574 loss_bbox: 0.273680 loss_dfl: 0.181083 loss: 1.220580 eta: 1 day, 0:51:53 batch_cost: 2.3421 data_cost: 0.0013 ips: 23.9099 images/s [10/17 09:44:45] ppdet.engine INFO: Epoch: [227] [100/523] learning_rate: 0.055371 loss_vfl: 0.784612 loss_bbox: 0.257724 loss_dfl: 0.175171 loss: 1.230615 eta: 1 day, 0:51:06 batch_cost: 2.3573 data_cost: 0.0024 ips: 23.7556 images/s [10/17 09:45:34] ppdet.engine INFO: Epoch: [227] [120/523] learning_rate: 0.055316 loss_vfl: 0.781199 loss_bbox: 0.271833 loss_dfl: 0.182539 loss: 1.240722 eta: 1 day, 0:50:19 batch_cost: 2.3398 data_cost: 0.0012 ips: 23.9333 images/s [10/17 09:46:25] ppdet.engine INFO: Epoch: [227] [140/523] learning_rate: 0.055260 loss_vfl: 0.777204 loss_bbox: 0.273169 loss_dfl: 0.180163 loss: 1.225092 eta: 1 day, 0:49:33 batch_cost: 2.4450 data_cost: 0.0037 ips: 22.9038 images/s [10/17 09:47:15] ppdet.engine INFO: Epoch: [227] [160/523] learning_rate: 0.055205 loss_vfl: 0.760719 loss_bbox: 0.266460 loss_dfl: 0.178384 loss: 1.201410 eta: 1 day, 0:48:46 batch_cost: 2.3607 data_cost: 0.0013 ips: 23.7214 images/s [10/17 09:48:04] ppdet.engine INFO: Epoch: [227] [180/523] learning_rate: 0.055150 loss_vfl: 0.758470 loss_bbox: 0.252336 loss_dfl: 0.177150 loss: 1.202934 eta: 1 day, 0:47:59 batch_cost: 2.3642 data_cost: 0.0012 ips: 23.6870 images/s [10/17 09:48:52] ppdet.engine INFO: Epoch: [227] [200/523] learning_rate: 0.055095 loss_vfl: 0.762996 loss_bbox: 0.277680 loss_dfl: 0.186200 loss: 1.229650 eta: 1 day, 0:47:12 batch_cost: 2.2774 data_cost: 0.0012 ips: 24.5896 images/s [10/17 09:49:41] ppdet.engine INFO: Epoch: [227] [220/523] learning_rate: 0.055040 loss_vfl: 0.765720 loss_bbox: 0.257464 loss_dfl: 0.178698 loss: 1.197202 eta: 1 day, 0:46:24 batch_cost: 2.3355 data_cost: 0.0012 ips: 23.9776 images/s [10/17 09:50:29] ppdet.engine INFO: Epoch: [227] [240/523] learning_rate: 0.054984 loss_vfl: 0.766370 loss_bbox: 0.253315 loss_dfl: 0.176113 loss: 1.179478 eta: 1 day, 0:45:37 batch_cost: 2.3347 data_cost: 0.0012 ips: 23.9863 images/s [10/17 09:51:19] ppdet.engine INFO: Epoch: [227] [260/523] learning_rate: 0.054929 loss_vfl: 0.763042 loss_bbox: 0.253222 loss_dfl: 0.170907 loss: 1.192427 eta: 1 day, 0:44:51 batch_cost: 2.3951 data_cost: 0.0022 ips: 23.3812 images/s [10/17 09:52:09] ppdet.engine INFO: Epoch: [227] [280/523] learning_rate: 0.054874 loss_vfl: 0.772227 loss_bbox: 0.261481 loss_dfl: 0.178522 loss: 1.200457 eta: 1 day, 0:44:04 batch_cost: 2.3710 data_cost: 0.0012 ips: 23.6190 images/s [10/17 09:52:59] ppdet.engine INFO: Epoch: [227] [300/523] learning_rate: 0.054819 loss_vfl: 0.766054 loss_bbox: 0.282821 loss_dfl: 0.191420 loss: 1.223753 eta: 1 day, 0:43:17 batch_cost: 2.3815 data_cost: 0.0029 ips: 23.5150 images/s [10/17 09:53:48] ppdet.engine INFO: Epoch: [227] [320/523] learning_rate: 0.054764 loss_vfl: 0.756825 loss_bbox: 0.250387 loss_dfl: 0.175345 loss: 1.200672 eta: 1 day, 0:42:30 batch_cost: 2.3636 data_cost: 0.0015 ips: 23.6923 images/s [10/17 09:54:37] ppdet.engine INFO: Epoch: [227] [340/523] learning_rate: 0.054709 loss_vfl: 0.776042 loss_bbox: 0.272162 loss_dfl: 0.187659 loss: 1.235903 eta: 1 day, 0:41:43 batch_cost: 2.3364 data_cost: 0.0012 ips: 23.9687 images/s [10/17 09:55:26] ppdet.engine INFO: Epoch: [227] [360/523] learning_rate: 0.054654 loss_vfl: 0.767049 loss_bbox: 0.273179 loss_dfl: 0.178562 loss: 1.215141 eta: 1 day, 0:40:56 batch_cost: 2.3437 data_cost: 0.0012 ips: 23.8939 images/s [10/17 09:56:15] ppdet.engine INFO: Epoch: [227] [380/523] learning_rate: 0.054599 loss_vfl: 0.766389 loss_bbox: 0.249680 loss_dfl: 0.174467 loss: 1.209538 eta: 1 day, 0:40:09 batch_cost: 2.3666 data_cost: 0.0013 ips: 23.6625 images/s [10/17 09:57:04] ppdet.engine INFO: Epoch: [227] [400/523] learning_rate: 0.054544 loss_vfl: 0.767256 loss_bbox: 0.275537 loss_dfl: 0.181787 loss: 1.229954 eta: 1 day, 0:39:22 batch_cost: 2.3478 data_cost: 0.0012 ips: 23.8520 images/s [10/17 09:57:53] ppdet.engine INFO: Epoch: [227] [420/523] learning_rate: 0.054489 loss_vfl: 0.765209 loss_bbox: 0.265262 loss_dfl: 0.177783 loss: 1.207538 eta: 1 day, 0:38:35 batch_cost: 2.3223 data_cost: 0.0018 ips: 24.1137 images/s [10/17 09:58:44] ppdet.engine INFO: Epoch: [227] [440/523] learning_rate: 0.054434 loss_vfl: 0.772575 loss_bbox: 0.274756 loss_dfl: 0.186840 loss: 1.239776 eta: 1 day, 0:37:48 batch_cost: 2.4140 data_cost: 0.0018 ips: 23.1982 images/s [10/17 09:59:33] ppdet.engine INFO: Epoch: [227] [460/523] learning_rate: 0.054379 loss_vfl: 0.763268 loss_bbox: 0.276274 loss_dfl: 0.181996 loss: 1.230946 eta: 1 day, 0:37:01 batch_cost: 2.3562 data_cost: 0.0012 ips: 23.7672 images/s [10/17 10:00:22] ppdet.engine INFO: Epoch: [227] [480/523] learning_rate: 0.054324 loss_vfl: 0.769240 loss_bbox: 0.269197 loss_dfl: 0.178026 loss: 1.209768 eta: 1 day, 0:36:15 batch_cost: 2.3590 data_cost: 0.0012 ips: 23.7388 images/s [10/17 10:01:11] ppdet.engine INFO: Epoch: [227] [500/523] learning_rate: 0.054269 loss_vfl: 0.786026 loss_bbox: 0.287764 loss_dfl: 0.192060 loss: 1.256778 eta: 1 day, 0:35:28 batch_cost: 2.3479 data_cost: 0.0012 ips: 23.8516 images/s [10/17 10:01:54] ppdet.engine INFO: Epoch: [227] [520/523] learning_rate: 0.054214 loss_vfl: 0.765729 loss_bbox: 0.270532 loss_dfl: 0.185083 loss: 1.230346 eta: 1 day, 0:34:39 batch_cost: 2.0435 data_cost: 0.0012 ips: 27.4043 images/s [10/17 10:02:25] ppdet.engine INFO: Epoch: [228] [ 0/523] learning_rate: 0.054206 loss_vfl: 0.773145 loss_bbox: 0.277732 loss_dfl: 0.185083 loss: 1.231754 eta: 1 day, 0:34:38 batch_cost: 3.0221 data_cost: 0.6530 ips: 18.5300 images/s [10/17 10:03:17] ppdet.engine INFO: Epoch: [228] [ 20/523] learning_rate: 0.054151 loss_vfl: 0.753029 loss_bbox: 0.250131 loss_dfl: 0.178476 loss: 1.159190 eta: 1 day, 0:33:52 batch_cost: 2.5030 data_cost: 0.0016 ips: 22.3734 images/s [10/17 10:04:08] ppdet.engine INFO: Epoch: [228] [ 40/523] learning_rate: 0.054097 loss_vfl: 0.760858 loss_bbox: 0.267401 loss_dfl: 0.187316 loss: 1.210758 eta: 1 day, 0:33:05 batch_cost: 2.3877 data_cost: 0.0014 ips: 23.4533 images/s [10/17 10:04:57] ppdet.engine INFO: Epoch: [228] [ 60/523] learning_rate: 0.054042 loss_vfl: 0.752496 loss_bbox: 0.276086 loss_dfl: 0.180679 loss: 1.218063 eta: 1 day, 0:32:18 batch_cost: 2.3362 data_cost: 0.0013 ips: 23.9706 images/s [10/17 10:05:46] ppdet.engine INFO: Epoch: [228] [ 80/523] learning_rate: 0.053987 loss_vfl: 0.768367 loss_bbox: 0.273032 loss_dfl: 0.183301 loss: 1.233948 eta: 1 day, 0:31:31 batch_cost: 2.3479 data_cost: 0.0012 ips: 23.8516 images/s [10/17 10:06:34] ppdet.engine INFO: Epoch: [228] [100/523] learning_rate: 0.053932 loss_vfl: 0.757860 loss_bbox: 0.273979 loss_dfl: 0.179194 loss: 1.208715 eta: 1 day, 0:30:44 batch_cost: 2.3180 data_cost: 0.0022 ips: 24.1589 images/s [10/17 10:07:24] ppdet.engine INFO: Epoch: [228] [120/523] learning_rate: 0.053878 loss_vfl: 0.773022 loss_bbox: 0.273758 loss_dfl: 0.180657 loss: 1.215427 eta: 1 day, 0:29:57 batch_cost: 2.3731 data_cost: 0.0024 ips: 23.5981 images/s [10/17 10:08:12] ppdet.engine INFO: Epoch: [228] [140/523] learning_rate: 0.053823 loss_vfl: 0.774713 loss_bbox: 0.262295 loss_dfl: 0.181704 loss: 1.212231 eta: 1 day, 0:29:10 batch_cost: 2.3147 data_cost: 0.0012 ips: 24.1930 images/s [10/17 10:08:59] ppdet.engine INFO: Epoch: [228] [160/523] learning_rate: 0.053768 loss_vfl: 0.747835 loss_bbox: 0.269914 loss_dfl: 0.187901 loss: 1.224300 eta: 1 day, 0:28:22 batch_cost: 2.2383 data_cost: 0.0016 ips: 25.0193 images/s [10/17 10:09:48] ppdet.engine INFO: Epoch: [228] [180/523] learning_rate: 0.053714 loss_vfl: 0.779178 loss_bbox: 0.273930 loss_dfl: 0.185763 loss: 1.219854 eta: 1 day, 0:27:35 batch_cost: 2.3259 data_cost: 0.0013 ips: 24.0770 images/s [10/17 10:10:36] ppdet.engine INFO: Epoch: [228] [200/523] learning_rate: 0.053659 loss_vfl: 0.761167 loss_bbox: 0.256811 loss_dfl: 0.178307 loss: 1.180450 eta: 1 day, 0:26:48 batch_cost: 2.3072 data_cost: 0.0013 ips: 24.2718 images/s [10/17 10:11:24] ppdet.engine INFO: Epoch: [228] [220/523] learning_rate: 0.053605 loss_vfl: 0.755790 loss_bbox: 0.254206 loss_dfl: 0.176538 loss: 1.205926 eta: 1 day, 0:26:00 batch_cost: 2.3016 data_cost: 0.0014 ips: 24.3313 images/s [10/17 10:12:11] ppdet.engine INFO: Epoch: [228] [240/523] learning_rate: 0.053550 loss_vfl: 0.767989 loss_bbox: 0.268517 loss_dfl: 0.180405 loss: 1.207161 eta: 1 day, 0:25:13 batch_cost: 2.2435 data_cost: 0.0019 ips: 24.9606 images/s [10/17 10:13:00] ppdet.engine INFO: Epoch: [228] [260/523] learning_rate: 0.053496 loss_vfl: 0.777940 loss_bbox: 0.258095 loss_dfl: 0.177107 loss: 1.225216 eta: 1 day, 0:24:26 batch_cost: 2.3415 data_cost: 0.0023 ips: 23.9161 images/s [10/17 10:13:48] ppdet.engine INFO: Epoch: [228] [280/523] learning_rate: 0.053441 loss_vfl: 0.763881 loss_bbox: 0.275391 loss_dfl: 0.183225 loss: 1.237587 eta: 1 day, 0:23:38 batch_cost: 2.2759 data_cost: 0.0013 ips: 24.6052 images/s [10/17 10:14:36] ppdet.engine INFO: Epoch: [228] [300/523] learning_rate: 0.053387 loss_vfl: 0.779579 loss_bbox: 0.263628 loss_dfl: 0.180034 loss: 1.214158 eta: 1 day, 0:22:51 batch_cost: 2.3111 data_cost: 0.0022 ips: 24.2312 images/s [10/17 10:15:25] ppdet.engine INFO: Epoch: [228] [320/523] learning_rate: 0.053332 loss_vfl: 0.760267 loss_bbox: 0.281616 loss_dfl: 0.185690 loss: 1.205133 eta: 1 day, 0:22:04 batch_cost: 2.3104 data_cost: 0.0019 ips: 24.2386 images/s [10/17 10:16:12] ppdet.engine INFO: Epoch: [228] [340/523] learning_rate: 0.053278 loss_vfl: 0.751848 loss_bbox: 0.288062 loss_dfl: 0.190921 loss: 1.218249 eta: 1 day, 0:21:16 batch_cost: 2.2818 data_cost: 0.0019 ips: 24.5420 images/s [10/17 10:17:01] ppdet.engine INFO: Epoch: [228] [360/523] learning_rate: 0.053223 loss_vfl: 0.771122 loss_bbox: 0.273385 loss_dfl: 0.184066 loss: 1.218639 eta: 1 day, 0:20:29 batch_cost: 2.3268 data_cost: 0.0029 ips: 24.0676 images/s [10/17 10:17:50] ppdet.engine INFO: Epoch: [228] [380/523] learning_rate: 0.053169 loss_vfl: 0.758687 loss_bbox: 0.270757 loss_dfl: 0.187825 loss: 1.220311 eta: 1 day, 0:19:42 batch_cost: 2.3452 data_cost: 0.0040 ips: 23.8790 images/s [10/17 10:18:40] ppdet.engine INFO: Epoch: [228] [400/523] learning_rate: 0.053114 loss_vfl: 0.762299 loss_bbox: 0.269867 loss_dfl: 0.185080 loss: 1.212288 eta: 1 day, 0:18:55 batch_cost: 2.3989 data_cost: 0.0021 ips: 23.3441 images/s [10/17 10:19:30] ppdet.engine INFO: Epoch: [228] [420/523] learning_rate: 0.053060 loss_vfl: 0.762416 loss_bbox: 0.268372 loss_dfl: 0.178768 loss: 1.209248 eta: 1 day, 0:18:08 batch_cost: 2.3567 data_cost: 0.0050 ips: 23.7616 images/s [10/17 10:20:18] ppdet.engine INFO: Epoch: [228] [440/523] learning_rate: 0.053006 loss_vfl: 0.759015 loss_bbox: 0.264722 loss_dfl: 0.183830 loss: 1.207700 eta: 1 day, 0:17:21 batch_cost: 2.3371 data_cost: 0.0026 ips: 23.9611 images/s [10/17 10:21:08] ppdet.engine INFO: Epoch: [228] [460/523] learning_rate: 0.052951 loss_vfl: 0.760667 loss_bbox: 0.295813 loss_dfl: 0.198040 loss: 1.249755 eta: 1 day, 0:16:34 batch_cost: 2.3621 data_cost: 0.0012 ips: 23.7072 images/s [10/17 10:21:59] ppdet.engine INFO: Epoch: [228] [480/523] learning_rate: 0.052897 loss_vfl: 0.763337 loss_bbox: 0.269719 loss_dfl: 0.179557 loss: 1.227757 eta: 1 day, 0:15:48 batch_cost: 2.4271 data_cost: 0.0031 ips: 23.0724 images/s [10/17 10:22:46] ppdet.engine INFO: Epoch: [228] [500/523] learning_rate: 0.052843 loss_vfl: 0.743343 loss_bbox: 0.274508 loss_dfl: 0.182930 loss: 1.199756 eta: 1 day, 0:15:00 batch_cost: 2.2379 data_cost: 0.0013 ips: 25.0238 images/s [10/17 10:23:28] ppdet.engine INFO: Epoch: [228] [520/523] learning_rate: 0.052789 loss_vfl: 0.761532 loss_bbox: 0.256407 loss_dfl: 0.173136 loss: 1.187633 eta: 1 day, 0:14:11 batch_cost: 2.0076 data_cost: 0.0013 ips: 27.8942 images/s [10/17 10:23:57] ppdet.engine INFO: Epoch: [229] [ 0/523] learning_rate: 0.052781 loss_vfl: 0.761532 loss_bbox: 0.262331 loss_dfl: 0.175848 loss: 1.187633 eta: 1 day, 0:14:09 batch_cost: 2.8665 data_cost: 0.3519 ips: 19.5360 images/s [10/17 10:24:50] ppdet.engine INFO: Epoch: [229] [ 20/523] learning_rate: 0.052726 loss_vfl: 0.742084 loss_bbox: 0.282586 loss_dfl: 0.184946 loss: 1.211328 eta: 1 day, 0:13:24 batch_cost: 2.5474 data_cost: 0.0027 ips: 21.9831 images/s [10/17 10:25:39] ppdet.engine INFO: Epoch: [229] [ 40/523] learning_rate: 0.052672 loss_vfl: 0.765037 loss_bbox: 0.256526 loss_dfl: 0.177959 loss: 1.219467 eta: 1 day, 0:12:37 batch_cost: 2.3507 data_cost: 0.0012 ips: 23.8230 images/s [10/17 10:26:28] ppdet.engine INFO: Epoch: [229] [ 60/523] learning_rate: 0.052618 loss_vfl: 0.765287 loss_bbox: 0.269598 loss_dfl: 0.182279 loss: 1.194317 eta: 1 day, 0:11:50 batch_cost: 2.3446 data_cost: 0.0012 ips: 23.8848 images/s [10/17 10:27:18] ppdet.engine INFO: Epoch: [229] [ 80/523] learning_rate: 0.052564 loss_vfl: 0.770442 loss_bbox: 0.264618 loss_dfl: 0.181882 loss: 1.224626 eta: 1 day, 0:11:03 batch_cost: 2.3964 data_cost: 0.0012 ips: 23.3680 images/s [10/17 10:28:07] ppdet.engine INFO: Epoch: [229] [100/523] learning_rate: 0.052510 loss_vfl: 0.768328 loss_bbox: 0.255593 loss_dfl: 0.177082 loss: 1.216818 eta: 1 day, 0:10:16 batch_cost: 2.3416 data_cost: 0.0013 ips: 23.9156 images/s [10/17 10:28:56] ppdet.engine INFO: Epoch: [229] [120/523] learning_rate: 0.052456 loss_vfl: 0.760250 loss_bbox: 0.236231 loss_dfl: 0.167403 loss: 1.162394 eta: 1 day, 0:09:29 batch_cost: 2.3560 data_cost: 0.0012 ips: 23.7696 images/s [10/17 10:29:45] ppdet.engine INFO: Epoch: [229] [140/523] learning_rate: 0.052402 loss_vfl: 0.781003 loss_bbox: 0.267955 loss_dfl: 0.179473 loss: 1.224849 eta: 1 day, 0:08:42 batch_cost: 2.3362 data_cost: 0.0020 ips: 23.9707 images/s [10/17 10:30:34] ppdet.engine INFO: Epoch: [229] [160/523] learning_rate: 0.052348 loss_vfl: 0.772984 loss_bbox: 0.257819 loss_dfl: 0.182143 loss: 1.232463 eta: 1 day, 0:07:55 batch_cost: 2.3262 data_cost: 0.0014 ips: 24.0736 images/s [10/17 10:31:23] ppdet.engine INFO: Epoch: [229] [180/523] learning_rate: 0.052294 loss_vfl: 0.762866 loss_bbox: 0.252907 loss_dfl: 0.179203 loss: 1.194751 eta: 1 day, 0:07:08 batch_cost: 2.3506 data_cost: 0.0013 ips: 23.8238 images/s [10/17 10:32:11] ppdet.engine INFO: Epoch: [229] [200/523] learning_rate: 0.052240 loss_vfl: 0.767238 loss_bbox: 0.282393 loss_dfl: 0.187158 loss: 1.253397 eta: 1 day, 0:06:20 batch_cost: 2.2860 data_cost: 0.0021 ips: 24.4964 images/s [10/17 10:32:59] ppdet.engine INFO: Epoch: [229] [220/523] learning_rate: 0.052186 loss_vfl: 0.768478 loss_bbox: 0.269725 loss_dfl: 0.184632 loss: 1.218772 eta: 1 day, 0:05:33 batch_cost: 2.3245 data_cost: 0.0013 ips: 24.0909 images/s [10/17 10:33:48] ppdet.engine INFO: Epoch: [229] [240/523] learning_rate: 0.052132 loss_vfl: 0.758563 loss_bbox: 0.263433 loss_dfl: 0.179425 loss: 1.217131 eta: 1 day, 0:04:46 batch_cost: 2.3370 data_cost: 0.0013 ips: 23.9618 images/s [10/17 10:34:37] ppdet.engine INFO: Epoch: [229] [260/523] learning_rate: 0.052078 loss_vfl: 0.755470 loss_bbox: 0.268206 loss_dfl: 0.181215 loss: 1.196049 eta: 1 day, 0:03:59 batch_cost: 2.3410 data_cost: 0.0013 ips: 23.9217 images/s [10/17 10:35:25] ppdet.engine INFO: Epoch: [229] [280/523] learning_rate: 0.052024 loss_vfl: 0.780344 loss_bbox: 0.275004 loss_dfl: 0.187294 loss: 1.250228 eta: 1 day, 0:03:12 batch_cost: 2.2943 data_cost: 0.0020 ips: 24.4083 images/s [10/17 10:36:14] ppdet.engine INFO: Epoch: [229] [300/523] learning_rate: 0.051970 loss_vfl: 0.756422 loss_bbox: 0.287008 loss_dfl: 0.190498 loss: 1.226835 eta: 1 day, 0:02:25 batch_cost: 2.3332 data_cost: 0.0014 ips: 24.0014 images/s [10/17 10:37:03] ppdet.engine INFO: Epoch: [229] [320/523] learning_rate: 0.051916 loss_vfl: 0.756875 loss_bbox: 0.271374 loss_dfl: 0.184191 loss: 1.226052 eta: 1 day, 0:01:38 batch_cost: 2.3408 data_cost: 0.0012 ips: 23.9235 images/s [10/17 10:37:51] ppdet.engine INFO: Epoch: [229] [340/523] learning_rate: 0.051862 loss_vfl: 0.768656 loss_bbox: 0.271834 loss_dfl: 0.182592 loss: 1.212889 eta: 1 day, 0:00:50 batch_cost: 2.3007 data_cost: 0.0012 ips: 24.3408 images/s [10/17 10:38:40] ppdet.engine INFO: Epoch: [229] [360/523] learning_rate: 0.051809 loss_vfl: 0.751504 loss_bbox: 0.276995 loss_dfl: 0.183783 loss: 1.235343 eta: 1 day, 0:00:03 batch_cost: 2.3497 data_cost: 0.0024 ips: 23.8333 images/s [10/17 10:39:29] ppdet.engine INFO: Epoch: [229] [380/523] learning_rate: 0.051755 loss_vfl: 0.763794 loss_bbox: 0.264964 loss_dfl: 0.180288 loss: 1.213066 eta: 23:59:16 batch_cost: 2.3473 data_cost: 0.0014 ips: 23.8569 images/s [10/17 10:40:17] ppdet.engine INFO: Epoch: [229] [400/523] learning_rate: 0.051701 loss_vfl: 0.751855 loss_bbox: 0.265384 loss_dfl: 0.183984 loss: 1.194793 eta: 23:58:29 batch_cost: 2.3119 data_cost: 0.0014 ips: 24.2222 images/s [10/17 10:41:06] ppdet.engine INFO: Epoch: [229] [420/523] learning_rate: 0.051647 loss_vfl: 0.753702 loss_bbox: 0.263788 loss_dfl: 0.177804 loss: 1.198269 eta: 23:57:42 batch_cost: 2.3188 data_cost: 0.0012 ips: 24.1503 images/s [10/17 10:41:54] ppdet.engine INFO: Epoch: [229] [440/523] learning_rate: 0.051594 loss_vfl: 0.749196 loss_bbox: 0.276494 loss_dfl: 0.190637 loss: 1.217868 eta: 23:56:55 batch_cost: 2.2891 data_cost: 0.0019 ips: 24.4641 images/s [10/17 10:42:42] ppdet.engine INFO: Epoch: [229] [460/523] learning_rate: 0.051540 loss_vfl: 0.765114 loss_bbox: 0.263750 loss_dfl: 0.180551 loss: 1.216551 eta: 23:56:07 batch_cost: 2.2926 data_cost: 0.0013 ips: 24.4269 images/s [10/17 10:43:30] ppdet.engine INFO: Epoch: [229] [480/523] learning_rate: 0.051486 loss_vfl: 0.756291 loss_bbox: 0.245710 loss_dfl: 0.170533 loss: 1.173394 eta: 23:55:20 batch_cost: 2.3008 data_cost: 0.0013 ips: 24.3396 images/s [10/17 10:44:18] ppdet.engine INFO: Epoch: [229] [500/523] learning_rate: 0.051433 loss_vfl: 0.757106 loss_bbox: 0.272188 loss_dfl: 0.185331 loss: 1.223387 eta: 23:54:33 batch_cost: 2.3186 data_cost: 0.0015 ips: 24.1526 images/s [10/17 10:45:01] ppdet.engine INFO: Epoch: [229] [520/523] learning_rate: 0.051379 loss_vfl: 0.749646 loss_bbox: 0.257666 loss_dfl: 0.175775 loss: 1.207744 eta: 23:53:44 batch_cost: 2.0473 data_cost: 0.0018 ips: 27.3529 images/s [10/17 10:45:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 10:45:09] ppdet.engine INFO: Eval iter: 0 [10/17 10:45:47] ppdet.engine INFO: Eval iter: 100 [10/17 10:46:07] ppdet.engine INFO: Eval iter: 200 [10/17 10:46:26] ppdet.engine INFO: Eval iter: 300 [10/17 10:46:46] ppdet.engine INFO: Eval iter: 400 [10/17 10:47:06] ppdet.engine INFO: Eval iter: 500 [10/17 10:47:25] ppdet.engine INFO: Eval iter: 600 [10/17 10:47:46] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.02s) creating index... index created! [10/17 10:47:47] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.04s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.41s). Accumulating evaluation results... DONE (t=19.46s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.363 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.522 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.383 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.148 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.391 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.575 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.309 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.519 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.757 [10/17 10:49:53] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.95113761790446 [10/17 10:49:53] ppdet.engine INFO: Best test bbox ap is 0.363. [10/17 10:49:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 10:49:55] ppdet.engine INFO: Epoch: [230] [ 0/523] learning_rate: 0.051371 loss_vfl: 0.753439 loss_bbox: 0.267464 loss_dfl: 0.177724 loss: 1.219006 eta: 23:53:36 batch_cost: 1.9984 data_cost: 0.0013 ips: 28.0221 images/s [10/17 10:50:46] ppdet.engine INFO: Epoch: [230] [ 20/523] learning_rate: 0.051317 loss_vfl: 0.774763 loss_bbox: 0.268176 loss_dfl: 0.182942 loss: 1.210999 eta: 23:52:50 batch_cost: 2.4401 data_cost: 0.0020 ips: 22.9497 images/s [10/17 10:51:35] ppdet.engine INFO: Epoch: [230] [ 40/523] learning_rate: 0.051264 loss_vfl: 0.747931 loss_bbox: 0.268902 loss_dfl: 0.182664 loss: 1.197822 eta: 23:52:03 batch_cost: 2.3062 data_cost: 0.0012 ips: 24.2824 images/s [10/17 10:52:23] ppdet.engine INFO: Epoch: [230] [ 60/523] learning_rate: 0.051210 loss_vfl: 0.760870 loss_bbox: 0.264992 loss_dfl: 0.186300 loss: 1.195789 eta: 23:51:16 batch_cost: 2.3198 data_cost: 0.0013 ips: 24.1401 images/s [10/17 10:53:11] ppdet.engine INFO: Epoch: [230] [ 80/523] learning_rate: 0.051157 loss_vfl: 0.768559 loss_bbox: 0.269718 loss_dfl: 0.185071 loss: 1.207698 eta: 23:50:28 batch_cost: 2.2980 data_cost: 0.0013 ips: 24.3693 images/s [10/17 10:53:59] ppdet.engine INFO: Epoch: [230] [100/523] learning_rate: 0.051103 loss_vfl: 0.745597 loss_bbox: 0.265951 loss_dfl: 0.182971 loss: 1.213563 eta: 23:49:41 batch_cost: 2.2858 data_cost: 0.0025 ips: 24.4995 images/s [10/17 10:54:47] ppdet.engine INFO: Epoch: [230] [120/523] learning_rate: 0.051050 loss_vfl: 0.760769 loss_bbox: 0.284007 loss_dfl: 0.192544 loss: 1.245625 eta: 23:48:54 batch_cost: 2.3214 data_cost: 0.0012 ips: 24.1230 images/s [10/17 10:55:35] ppdet.engine INFO: Epoch: [230] [140/523] learning_rate: 0.050996 loss_vfl: 0.742169 loss_bbox: 0.271714 loss_dfl: 0.184302 loss: 1.213607 eta: 23:48:06 batch_cost: 2.2717 data_cost: 0.0023 ips: 24.6515 images/s [10/17 10:56:26] ppdet.engine INFO: Epoch: [230] [160/523] learning_rate: 0.050943 loss_vfl: 0.765645 loss_bbox: 0.264825 loss_dfl: 0.178188 loss: 1.221673 eta: 23:47:20 batch_cost: 2.4474 data_cost: 0.0021 ips: 22.8814 images/s [10/17 10:57:17] ppdet.engine INFO: Epoch: [230] [180/523] learning_rate: 0.050890 loss_vfl: 0.745314 loss_bbox: 0.260302 loss_dfl: 0.176845 loss: 1.184693 eta: 23:46:33 batch_cost: 2.4093 data_cost: 0.0025 ips: 23.2436 images/s [10/17 10:58:07] ppdet.engine INFO: Epoch: [230] [200/523] learning_rate: 0.050836 loss_vfl: 0.762230 loss_bbox: 0.254261 loss_dfl: 0.169486 loss: 1.188254 eta: 23:45:47 batch_cost: 2.3975 data_cost: 0.0040 ips: 23.3578 images/s [10/17 10:58:56] ppdet.engine INFO: Epoch: [230] [220/523] learning_rate: 0.050783 loss_vfl: 0.764720 loss_bbox: 0.264166 loss_dfl: 0.176191 loss: 1.207652 eta: 23:44:59 batch_cost: 2.3332 data_cost: 0.0012 ips: 24.0010 images/s [10/17 10:59:45] ppdet.engine INFO: Epoch: [230] [240/523] learning_rate: 0.050730 loss_vfl: 0.751791 loss_bbox: 0.277750 loss_dfl: 0.179893 loss: 1.224575 eta: 23:44:12 batch_cost: 2.3525 data_cost: 0.0012 ips: 23.8040 images/s [10/17 11:00:34] ppdet.engine INFO: Epoch: [230] [260/523] learning_rate: 0.050676 loss_vfl: 0.746393 loss_bbox: 0.268903 loss_dfl: 0.184959 loss: 1.208240 eta: 23:43:26 batch_cost: 2.3631 data_cost: 0.0013 ips: 23.6972 images/s [10/17 11:01:23] ppdet.engine INFO: Epoch: [230] [280/523] learning_rate: 0.050623 loss_vfl: 0.762896 loss_bbox: 0.267399 loss_dfl: 0.177552 loss: 1.223586 eta: 23:42:38 batch_cost: 2.3311 data_cost: 0.0013 ips: 24.0232 images/s [10/17 11:02:11] ppdet.engine INFO: Epoch: [230] [300/523] learning_rate: 0.050570 loss_vfl: 0.762299 loss_bbox: 0.271563 loss_dfl: 0.183193 loss: 1.212197 eta: 23:41:51 batch_cost: 2.3069 data_cost: 0.0014 ips: 24.2748 images/s [10/17 11:03:01] ppdet.engine INFO: Epoch: [230] [320/523] learning_rate: 0.050517 loss_vfl: 0.755037 loss_bbox: 0.265900 loss_dfl: 0.181762 loss: 1.195518 eta: 23:41:04 batch_cost: 2.3657 data_cost: 0.0012 ips: 23.6714 images/s [10/17 11:03:49] ppdet.engine INFO: Epoch: [230] [340/523] learning_rate: 0.050463 loss_vfl: 0.772526 loss_bbox: 0.270148 loss_dfl: 0.184082 loss: 1.215837 eta: 23:40:17 batch_cost: 2.3169 data_cost: 0.0012 ips: 24.1703 images/s [10/17 11:04:40] ppdet.engine INFO: Epoch: [230] [360/523] learning_rate: 0.050410 loss_vfl: 0.751756 loss_bbox: 0.267464 loss_dfl: 0.176930 loss: 1.185999 eta: 23:39:30 batch_cost: 2.4104 data_cost: 0.0014 ips: 23.2327 images/s [10/17 11:05:29] ppdet.engine INFO: Epoch: [230] [380/523] learning_rate: 0.050357 loss_vfl: 0.762951 loss_bbox: 0.271958 loss_dfl: 0.180252 loss: 1.217146 eta: 23:38:44 batch_cost: 2.3677 data_cost: 0.0013 ips: 23.6518 images/s [10/17 11:06:18] ppdet.engine INFO: Epoch: [230] [400/523] learning_rate: 0.050304 loss_vfl: 0.768366 loss_bbox: 0.294260 loss_dfl: 0.189746 loss: 1.231151 eta: 23:37:56 batch_cost: 2.3284 data_cost: 0.0013 ips: 24.0507 images/s [10/17 11:07:06] ppdet.engine INFO: Epoch: [230] [420/523] learning_rate: 0.050251 loss_vfl: 0.776850 loss_bbox: 0.264602 loss_dfl: 0.180986 loss: 1.235259 eta: 23:37:09 batch_cost: 2.3007 data_cost: 0.0020 ips: 24.3407 images/s [10/17 11:07:55] ppdet.engine INFO: Epoch: [230] [440/523] learning_rate: 0.050198 loss_vfl: 0.747761 loss_bbox: 0.291722 loss_dfl: 0.184477 loss: 1.218782 eta: 23:36:22 batch_cost: 2.3164 data_cost: 0.0012 ips: 24.1752 images/s [10/17 11:08:43] ppdet.engine INFO: Epoch: [230] [460/523] learning_rate: 0.050145 loss_vfl: 0.759275 loss_bbox: 0.259835 loss_dfl: 0.177547 loss: 1.207357 eta: 23:35:35 batch_cost: 2.3237 data_cost: 0.0013 ips: 24.0998 images/s [10/17 11:09:31] ppdet.engine INFO: Epoch: [230] [480/523] learning_rate: 0.050092 loss_vfl: 0.774766 loss_bbox: 0.267384 loss_dfl: 0.181010 loss: 1.220577 eta: 23:34:48 batch_cost: 2.2872 data_cost: 0.0025 ips: 24.4840 images/s [10/17 11:10:20] ppdet.engine INFO: Epoch: [230] [500/523] learning_rate: 0.050039 loss_vfl: 0.756057 loss_bbox: 0.276814 loss_dfl: 0.182468 loss: 1.201168 eta: 23:34:00 batch_cost: 2.3071 data_cost: 0.0013 ips: 24.2724 images/s [10/17 11:11:01] ppdet.engine INFO: Epoch: [230] [520/523] learning_rate: 0.049986 loss_vfl: 0.766203 loss_bbox: 0.263366 loss_dfl: 0.189007 loss: 1.222596 eta: 23:33:11 batch_cost: 1.9912 data_cost: 0.0012 ips: 28.1240 images/s [10/17 11:11:33] ppdet.engine INFO: Epoch: [231] [ 0/523] learning_rate: 0.049978 loss_vfl: 0.769356 loss_bbox: 0.263366 loss_dfl: 0.180594 loss: 1.216484 eta: 23:33:10 batch_cost: 2.9937 data_cost: 0.8003 ips: 18.7062 images/s [10/17 11:12:23] ppdet.engine INFO: Epoch: [231] [ 20/523] learning_rate: 0.049925 loss_vfl: 0.748729 loss_bbox: 0.266547 loss_dfl: 0.180641 loss: 1.194644 eta: 23:32:24 batch_cost: 2.4325 data_cost: 0.0036 ips: 23.0220 images/s [10/17 11:13:13] ppdet.engine INFO: Epoch: [231] [ 40/523] learning_rate: 0.049872 loss_vfl: 0.754584 loss_bbox: 0.266667 loss_dfl: 0.187314 loss: 1.210781 eta: 23:31:37 batch_cost: 2.3399 data_cost: 0.0012 ips: 23.9323 images/s [10/17 11:14:00] ppdet.engine INFO: Epoch: [231] [ 60/523] learning_rate: 0.049819 loss_vfl: 0.759630 loss_bbox: 0.263341 loss_dfl: 0.178500 loss: 1.188792 eta: 23:30:49 batch_cost: 2.2781 data_cost: 0.0026 ips: 24.5824 images/s [10/17 11:14:49] ppdet.engine INFO: Epoch: [231] [ 80/523] learning_rate: 0.049766 loss_vfl: 0.759497 loss_bbox: 0.262856 loss_dfl: 0.180851 loss: 1.193989 eta: 23:30:02 batch_cost: 2.3310 data_cost: 0.0013 ips: 24.0243 images/s [10/17 11:15:38] ppdet.engine INFO: Epoch: [231] [100/523] learning_rate: 0.049713 loss_vfl: 0.754521 loss_bbox: 0.273210 loss_dfl: 0.182166 loss: 1.209837 eta: 23:29:15 batch_cost: 2.3422 data_cost: 0.0013 ips: 23.9091 images/s [10/17 11:16:27] ppdet.engine INFO: Epoch: [231] [120/523] learning_rate: 0.049660 loss_vfl: 0.747570 loss_bbox: 0.267598 loss_dfl: 0.185225 loss: 1.208729 eta: 23:28:28 batch_cost: 2.3199 data_cost: 0.0013 ips: 24.1391 images/s [10/17 11:17:17] ppdet.engine INFO: Epoch: [231] [140/523] learning_rate: 0.049608 loss_vfl: 0.762954 loss_bbox: 0.275988 loss_dfl: 0.194483 loss: 1.217118 eta: 23:27:41 batch_cost: 2.3959 data_cost: 0.0013 ips: 23.3732 images/s [10/17 11:18:05] ppdet.engine INFO: Epoch: [231] [160/523] learning_rate: 0.049555 loss_vfl: 0.776700 loss_bbox: 0.256954 loss_dfl: 0.177955 loss: 1.224363 eta: 23:26:54 batch_cost: 2.3177 data_cost: 0.0012 ips: 24.1619 images/s [10/17 11:18:56] ppdet.engine INFO: Epoch: [231] [180/523] learning_rate: 0.049502 loss_vfl: 0.750156 loss_bbox: 0.256526 loss_dfl: 0.177254 loss: 1.203328 eta: 23:26:07 batch_cost: 2.4141 data_cost: 0.0013 ips: 23.1969 images/s [10/17 11:19:45] ppdet.engine INFO: Epoch: [231] [200/523] learning_rate: 0.049449 loss_vfl: 0.766121 loss_bbox: 0.271372 loss_dfl: 0.175632 loss: 1.223647 eta: 23:25:20 batch_cost: 2.3514 data_cost: 0.0012 ips: 23.8156 images/s [10/17 11:20:34] ppdet.engine INFO: Epoch: [231] [220/523] learning_rate: 0.049397 loss_vfl: 0.756852 loss_bbox: 0.262106 loss_dfl: 0.182383 loss: 1.197923 eta: 23:24:33 batch_cost: 2.3506 data_cost: 0.0013 ips: 23.8232 images/s [10/17 11:21:22] ppdet.engine INFO: Epoch: [231] [240/523] learning_rate: 0.049344 loss_vfl: 0.772086 loss_bbox: 0.276542 loss_dfl: 0.190830 loss: 1.212692 eta: 23:23:46 batch_cost: 2.3329 data_cost: 0.0013 ips: 24.0047 images/s [10/17 11:22:10] ppdet.engine INFO: Epoch: [231] [260/523] learning_rate: 0.049291 loss_vfl: 0.757513 loss_bbox: 0.276809 loss_dfl: 0.185599 loss: 1.242365 eta: 23:22:59 batch_cost: 2.2777 data_cost: 0.0013 ips: 24.5860 images/s [10/17 11:22:58] ppdet.engine INFO: Epoch: [231] [280/523] learning_rate: 0.049239 loss_vfl: 0.752333 loss_bbox: 0.269209 loss_dfl: 0.181849 loss: 1.235300 eta: 23:22:11 batch_cost: 2.2744 data_cost: 0.0019 ips: 24.6217 images/s [10/17 11:23:46] ppdet.engine INFO: Epoch: [231] [300/523] learning_rate: 0.049186 loss_vfl: 0.749812 loss_bbox: 0.275070 loss_dfl: 0.186988 loss: 1.222770 eta: 23:21:24 batch_cost: 2.2912 data_cost: 0.0012 ips: 24.4416 images/s [10/17 11:24:33] ppdet.engine INFO: Epoch: [231] [320/523] learning_rate: 0.049133 loss_vfl: 0.770334 loss_bbox: 0.279175 loss_dfl: 0.187701 loss: 1.221452 eta: 23:20:37 batch_cost: 2.2708 data_cost: 0.0013 ips: 24.6615 images/s [10/17 11:25:22] ppdet.engine INFO: Epoch: [231] [340/523] learning_rate: 0.049081 loss_vfl: 0.764183 loss_bbox: 0.279070 loss_dfl: 0.183062 loss: 1.223121 eta: 23:19:49 batch_cost: 2.3125 data_cost: 0.0019 ips: 24.2158 images/s [10/17 11:26:11] ppdet.engine INFO: Epoch: [231] [360/523] learning_rate: 0.049028 loss_vfl: 0.763168 loss_bbox: 0.308751 loss_dfl: 0.185779 loss: 1.235545 eta: 23:19:02 batch_cost: 2.3437 data_cost: 0.0013 ips: 23.8941 images/s [10/17 11:27:00] ppdet.engine INFO: Epoch: [231] [380/523] learning_rate: 0.048976 loss_vfl: 0.762056 loss_bbox: 0.277859 loss_dfl: 0.184771 loss: 1.237590 eta: 23:18:15 batch_cost: 2.3682 data_cost: 0.0024 ips: 23.6462 images/s [10/17 11:27:49] ppdet.engine INFO: Epoch: [231] [400/523] learning_rate: 0.048923 loss_vfl: 0.756656 loss_bbox: 0.272060 loss_dfl: 0.185329 loss: 1.213570 eta: 23:17:28 batch_cost: 2.3329 data_cost: 0.0012 ips: 24.0047 images/s [10/17 11:28:37] ppdet.engine INFO: Epoch: [231] [420/523] learning_rate: 0.048871 loss_vfl: 0.768020 loss_bbox: 0.267036 loss_dfl: 0.176985 loss: 1.237819 eta: 23:16:41 batch_cost: 2.3313 data_cost: 0.0012 ips: 24.0205 images/s [10/17 11:29:26] ppdet.engine INFO: Epoch: [231] [440/523] learning_rate: 0.048818 loss_vfl: 0.752770 loss_bbox: 0.260925 loss_dfl: 0.187699 loss: 1.202200 eta: 23:15:54 batch_cost: 2.3457 data_cost: 0.0018 ips: 23.8734 images/s [10/17 11:30:14] ppdet.engine INFO: Epoch: [231] [460/523] learning_rate: 0.048766 loss_vfl: 0.778476 loss_bbox: 0.267031 loss_dfl: 0.180711 loss: 1.218780 eta: 23:15:07 batch_cost: 2.2702 data_cost: 0.0014 ips: 24.6675 images/s [10/17 11:31:05] ppdet.engine INFO: Epoch: [231] [480/523] learning_rate: 0.048714 loss_vfl: 0.753697 loss_bbox: 0.263897 loss_dfl: 0.178038 loss: 1.203459 eta: 23:14:20 batch_cost: 2.4541 data_cost: 0.0026 ips: 22.8185 images/s [10/17 11:31:57] ppdet.engine INFO: Epoch: [231] [500/523] learning_rate: 0.048661 loss_vfl: 0.766505 loss_bbox: 0.271386 loss_dfl: 0.183401 loss: 1.207276 eta: 23:13:34 batch_cost: 2.4164 data_cost: 0.0028 ips: 23.1747 images/s [10/17 11:32:39] ppdet.engine INFO: Epoch: [231] [520/523] learning_rate: 0.048609 loss_vfl: 0.750389 loss_bbox: 0.258157 loss_dfl: 0.175916 loss: 1.196589 eta: 23:12:45 batch_cost: 2.0287 data_cost: 0.0012 ips: 27.6038 images/s [10/17 11:33:11] ppdet.engine INFO: Epoch: [232] [ 0/523] learning_rate: 0.048601 loss_vfl: 0.750389 loss_bbox: 0.258157 loss_dfl: 0.177174 loss: 1.187808 eta: 23:12:44 batch_cost: 3.0755 data_cost: 0.7305 ips: 18.2085 images/s [10/17 11:34:01] ppdet.engine INFO: Epoch: [232] [ 20/523] learning_rate: 0.048549 loss_vfl: 0.756946 loss_bbox: 0.280732 loss_dfl: 0.190615 loss: 1.250383 eta: 23:11:57 batch_cost: 2.4074 data_cost: 0.0012 ips: 23.2613 images/s [10/17 11:34:51] ppdet.engine INFO: Epoch: [232] [ 40/523] learning_rate: 0.048496 loss_vfl: 0.759530 loss_bbox: 0.268888 loss_dfl: 0.183485 loss: 1.193522 eta: 23:11:11 batch_cost: 2.3727 data_cost: 0.0014 ips: 23.6013 images/s [10/17 11:35:42] ppdet.engine INFO: Epoch: [232] [ 60/523] learning_rate: 0.048444 loss_vfl: 0.749563 loss_bbox: 0.275699 loss_dfl: 0.190642 loss: 1.228308 eta: 23:10:24 batch_cost: 2.4472 data_cost: 0.0012 ips: 22.8836 images/s [10/17 11:36:30] ppdet.engine INFO: Epoch: [232] [ 80/523] learning_rate: 0.048392 loss_vfl: 0.749208 loss_bbox: 0.265981 loss_dfl: 0.184753 loss: 1.191457 eta: 23:09:37 batch_cost: 2.3025 data_cost: 0.0013 ips: 24.3217 images/s [10/17 11:37:18] ppdet.engine INFO: Epoch: [232] [100/523] learning_rate: 0.048340 loss_vfl: 0.749326 loss_bbox: 0.271376 loss_dfl: 0.185867 loss: 1.210475 eta: 23:08:50 batch_cost: 2.3104 data_cost: 0.0014 ips: 24.2382 images/s [10/17 11:38:08] ppdet.engine INFO: Epoch: [232] [120/523] learning_rate: 0.048287 loss_vfl: 0.768447 loss_bbox: 0.250949 loss_dfl: 0.183991 loss: 1.218803 eta: 23:08:03 batch_cost: 2.3556 data_cost: 0.0020 ips: 23.7728 images/s [10/17 11:38:56] ppdet.engine INFO: Epoch: [232] [140/523] learning_rate: 0.048235 loss_vfl: 0.768474 loss_bbox: 0.269286 loss_dfl: 0.179382 loss: 1.224669 eta: 23:07:16 batch_cost: 2.3292 data_cost: 0.0012 ips: 24.0428 images/s [10/17 11:39:46] ppdet.engine INFO: Epoch: [232] [160/523] learning_rate: 0.048183 loss_vfl: 0.755328 loss_bbox: 0.252193 loss_dfl: 0.173558 loss: 1.222844 eta: 23:06:29 batch_cost: 2.3748 data_cost: 0.0022 ips: 23.5809 images/s [10/17 11:40:34] ppdet.engine INFO: Epoch: [232] [180/523] learning_rate: 0.048131 loss_vfl: 0.752244 loss_bbox: 0.274743 loss_dfl: 0.184797 loss: 1.224847 eta: 23:05:41 batch_cost: 2.2846 data_cost: 0.0012 ips: 24.5120 images/s [10/17 11:41:23] ppdet.engine INFO: Epoch: [232] [200/523] learning_rate: 0.048079 loss_vfl: 0.765022 loss_bbox: 0.272727 loss_dfl: 0.181270 loss: 1.222296 eta: 23:04:54 batch_cost: 2.3084 data_cost: 0.0013 ips: 24.2588 images/s [10/17 11:42:12] ppdet.engine INFO: Epoch: [232] [220/523] learning_rate: 0.048027 loss_vfl: 0.756858 loss_bbox: 0.265155 loss_dfl: 0.182719 loss: 1.196337 eta: 23:04:07 batch_cost: 2.3690 data_cost: 0.0012 ips: 23.6386 images/s [10/17 11:43:00] ppdet.engine INFO: Epoch: [232] [240/523] learning_rate: 0.047975 loss_vfl: 0.751122 loss_bbox: 0.278170 loss_dfl: 0.183217 loss: 1.206020 eta: 23:03:20 batch_cost: 2.2832 data_cost: 0.0019 ips: 24.5271 images/s [10/17 11:43:47] ppdet.engine INFO: Epoch: [232] [260/523] learning_rate: 0.047923 loss_vfl: 0.747209 loss_bbox: 0.289445 loss_dfl: 0.186999 loss: 1.227468 eta: 23:02:32 batch_cost: 2.2556 data_cost: 0.0012 ips: 24.8275 images/s [10/17 11:44:35] ppdet.engine INFO: Epoch: [232] [280/523] learning_rate: 0.047871 loss_vfl: 0.754695 loss_bbox: 0.277118 loss_dfl: 0.186684 loss: 1.217929 eta: 23:01:45 batch_cost: 2.2689 data_cost: 0.0013 ips: 24.6813 images/s [10/17 11:45:23] ppdet.engine INFO: Epoch: [232] [300/523] learning_rate: 0.047819 loss_vfl: 0.762900 loss_bbox: 0.260463 loss_dfl: 0.173544 loss: 1.189499 eta: 23:00:58 batch_cost: 2.3191 data_cost: 0.0013 ips: 24.1477 images/s [10/17 11:46:12] ppdet.engine INFO: Epoch: [232] [320/523] learning_rate: 0.047767 loss_vfl: 0.756815 loss_bbox: 0.275114 loss_dfl: 0.185087 loss: 1.214354 eta: 23:00:10 batch_cost: 2.3221 data_cost: 0.0015 ips: 24.1156 images/s [10/17 11:47:00] ppdet.engine INFO: Epoch: [232] [340/523] learning_rate: 0.047715 loss_vfl: 0.755876 loss_bbox: 0.283933 loss_dfl: 0.184791 loss: 1.227154 eta: 22:59:23 batch_cost: 2.3140 data_cost: 0.0012 ips: 24.2002 images/s [10/17 11:47:50] ppdet.engine INFO: Epoch: [232] [360/523] learning_rate: 0.047663 loss_vfl: 0.770040 loss_bbox: 0.271750 loss_dfl: 0.182973 loss: 1.225965 eta: 22:58:36 batch_cost: 2.3634 data_cost: 0.0012 ips: 23.6943 images/s [10/17 11:48:40] ppdet.engine INFO: Epoch: [232] [380/523] learning_rate: 0.047611 loss_vfl: 0.751334 loss_bbox: 0.274129 loss_dfl: 0.184290 loss: 1.225288 eta: 22:57:50 batch_cost: 2.3862 data_cost: 0.0013 ips: 23.4683 images/s [10/17 11:49:29] ppdet.engine INFO: Epoch: [232] [400/523] learning_rate: 0.047559 loss_vfl: 0.763167 loss_bbox: 0.274716 loss_dfl: 0.180312 loss: 1.217714 eta: 22:57:03 batch_cost: 2.3450 data_cost: 0.0012 ips: 23.8807 images/s [10/17 11:50:18] ppdet.engine INFO: Epoch: [232] [420/523] learning_rate: 0.047507 loss_vfl: 0.767846 loss_bbox: 0.257159 loss_dfl: 0.171234 loss: 1.209117 eta: 22:56:16 batch_cost: 2.3679 data_cost: 0.0014 ips: 23.6496 images/s [10/17 11:51:08] ppdet.engine INFO: Epoch: [232] [440/523] learning_rate: 0.047456 loss_vfl: 0.767888 loss_bbox: 0.265773 loss_dfl: 0.181763 loss: 1.196962 eta: 22:55:29 batch_cost: 2.3581 data_cost: 0.0025 ips: 23.7475 images/s [10/17 11:51:55] ppdet.engine INFO: Epoch: [232] [460/523] learning_rate: 0.047404 loss_vfl: 0.757714 loss_bbox: 0.269559 loss_dfl: 0.182987 loss: 1.196524 eta: 22:54:41 batch_cost: 2.2878 data_cost: 0.0012 ips: 24.4777 images/s [10/17 11:52:44] ppdet.engine INFO: Epoch: [232] [480/523] learning_rate: 0.047352 loss_vfl: 0.774360 loss_bbox: 0.265943 loss_dfl: 0.179558 loss: 1.216061 eta: 22:53:54 batch_cost: 2.3383 data_cost: 0.0012 ips: 23.9486 images/s [10/17 11:53:34] ppdet.engine INFO: Epoch: [232] [500/523] learning_rate: 0.047300 loss_vfl: 0.744892 loss_bbox: 0.269333 loss_dfl: 0.179599 loss: 1.209567 eta: 22:53:07 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7817 images/s [10/17 11:54:17] ppdet.engine INFO: Epoch: [232] [520/523] learning_rate: 0.047249 loss_vfl: 0.770227 loss_bbox: 0.266398 loss_dfl: 0.180745 loss: 1.215840 eta: 22:52:19 batch_cost: 2.0681 data_cost: 0.0012 ips: 27.0774 images/s [10/17 11:54:43] ppdet.engine INFO: Epoch: [233] [ 0/523] learning_rate: 0.047241 loss_vfl: 0.770227 loss_bbox: 0.255331 loss_dfl: 0.177112 loss: 1.199389 eta: 22:52:16 batch_cost: 2.7912 data_cost: 0.5275 ips: 20.0627 images/s [10/17 11:55:38] ppdet.engine INFO: Epoch: [233] [ 20/523] learning_rate: 0.047189 loss_vfl: 0.745599 loss_bbox: 0.262996 loss_dfl: 0.181004 loss: 1.191891 eta: 22:51:30 batch_cost: 2.6010 data_cost: 0.0014 ips: 21.5299 images/s [10/17 11:56:27] ppdet.engine INFO: Epoch: [233] [ 40/523] learning_rate: 0.047137 loss_vfl: 0.751256 loss_bbox: 0.273455 loss_dfl: 0.183665 loss: 1.211767 eta: 22:50:43 batch_cost: 2.3314 data_cost: 0.0014 ips: 24.0201 images/s [10/17 11:57:17] ppdet.engine INFO: Epoch: [233] [ 60/523] learning_rate: 0.047086 loss_vfl: 0.751961 loss_bbox: 0.274132 loss_dfl: 0.194940 loss: 1.223896 eta: 22:49:56 batch_cost: 2.3752 data_cost: 0.0013 ips: 23.5768 images/s [10/17 11:58:06] ppdet.engine INFO: Epoch: [233] [ 80/523] learning_rate: 0.047034 loss_vfl: 0.746275 loss_bbox: 0.276016 loss_dfl: 0.187636 loss: 1.210763 eta: 22:49:09 batch_cost: 2.3576 data_cost: 0.0013 ips: 23.7527 images/s [10/17 11:58:54] ppdet.engine INFO: Epoch: [233] [100/523] learning_rate: 0.046983 loss_vfl: 0.762062 loss_bbox: 0.260325 loss_dfl: 0.187006 loss: 1.206071 eta: 22:48:22 batch_cost: 2.2807 data_cost: 0.0022 ips: 24.5544 images/s [10/17 11:59:43] ppdet.engine INFO: Epoch: [233] [120/523] learning_rate: 0.046931 loss_vfl: 0.736917 loss_bbox: 0.251793 loss_dfl: 0.179575 loss: 1.164169 eta: 22:47:35 batch_cost: 2.3680 data_cost: 0.0014 ips: 23.6487 images/s [10/17 12:00:33] ppdet.engine INFO: Epoch: [233] [140/523] learning_rate: 0.046880 loss_vfl: 0.736106 loss_bbox: 0.271079 loss_dfl: 0.180750 loss: 1.184692 eta: 22:46:48 batch_cost: 2.3672 data_cost: 0.0021 ips: 23.6566 images/s [10/17 12:01:23] ppdet.engine INFO: Epoch: [233] [160/523] learning_rate: 0.046828 loss_vfl: 0.745634 loss_bbox: 0.287067 loss_dfl: 0.185246 loss: 1.231665 eta: 22:46:02 batch_cost: 2.3881 data_cost: 0.0013 ips: 23.4497 images/s [10/17 12:02:11] ppdet.engine INFO: Epoch: [233] [180/523] learning_rate: 0.046777 loss_vfl: 0.747923 loss_bbox: 0.275936 loss_dfl: 0.178165 loss: 1.204511 eta: 22:45:14 batch_cost: 2.2983 data_cost: 0.0013 ips: 24.3654 images/s [10/17 12:02:59] ppdet.engine INFO: Epoch: [233] [200/523] learning_rate: 0.046725 loss_vfl: 0.769585 loss_bbox: 0.280878 loss_dfl: 0.187288 loss: 1.231546 eta: 22:44:27 batch_cost: 2.3139 data_cost: 0.0012 ips: 24.2017 images/s [10/17 12:03:48] ppdet.engine INFO: Epoch: [233] [220/523] learning_rate: 0.046674 loss_vfl: 0.743295 loss_bbox: 0.264182 loss_dfl: 0.180254 loss: 1.185560 eta: 22:43:40 batch_cost: 2.3375 data_cost: 0.0013 ips: 23.9576 images/s [10/17 12:04:37] ppdet.engine INFO: Epoch: [233] [240/523] learning_rate: 0.046622 loss_vfl: 0.752852 loss_bbox: 0.276230 loss_dfl: 0.190993 loss: 1.210760 eta: 22:42:53 batch_cost: 2.3159 data_cost: 0.0012 ips: 24.1805 images/s [10/17 12:05:25] ppdet.engine INFO: Epoch: [233] [260/523] learning_rate: 0.046571 loss_vfl: 0.757366 loss_bbox: 0.272689 loss_dfl: 0.180186 loss: 1.224247 eta: 22:42:05 batch_cost: 2.2938 data_cost: 0.0015 ips: 24.4131 images/s [10/17 12:06:16] ppdet.engine INFO: Epoch: [233] [280/523] learning_rate: 0.046519 loss_vfl: 0.767300 loss_bbox: 0.256972 loss_dfl: 0.178451 loss: 1.209247 eta: 22:41:19 batch_cost: 2.4385 data_cost: 0.0038 ips: 22.9653 images/s [10/17 12:07:07] ppdet.engine INFO: Epoch: [233] [300/523] learning_rate: 0.046468 loss_vfl: 0.754168 loss_bbox: 0.254603 loss_dfl: 0.181088 loss: 1.190656 eta: 22:40:33 batch_cost: 2.4740 data_cost: 0.0020 ips: 22.6354 images/s [10/17 12:07:58] ppdet.engine INFO: Epoch: [233] [320/523] learning_rate: 0.046417 loss_vfl: 0.761893 loss_bbox: 0.258662 loss_dfl: 0.180992 loss: 1.218572 eta: 22:39:46 batch_cost: 2.4000 data_cost: 0.0026 ips: 23.3331 images/s [10/17 12:08:46] ppdet.engine INFO: Epoch: [233] [340/523] learning_rate: 0.046366 loss_vfl: 0.754343 loss_bbox: 0.262534 loss_dfl: 0.183832 loss: 1.207862 eta: 22:38:59 batch_cost: 2.3142 data_cost: 0.0013 ips: 24.1986 images/s [10/17 12:09:35] ppdet.engine INFO: Epoch: [233] [360/523] learning_rate: 0.046314 loss_vfl: 0.765643 loss_bbox: 0.282882 loss_dfl: 0.185202 loss: 1.221599 eta: 22:38:12 batch_cost: 2.3150 data_cost: 0.0012 ips: 24.1902 images/s [10/17 12:10:24] ppdet.engine INFO: Epoch: [233] [380/523] learning_rate: 0.046263 loss_vfl: 0.752296 loss_bbox: 0.274197 loss_dfl: 0.184138 loss: 1.198809 eta: 22:37:25 batch_cost: 2.3614 data_cost: 0.0013 ips: 23.7143 images/s [10/17 12:11:12] ppdet.engine INFO: Epoch: [233] [400/523] learning_rate: 0.046212 loss_vfl: 0.759023 loss_bbox: 0.277906 loss_dfl: 0.190802 loss: 1.221356 eta: 22:36:37 batch_cost: 2.2922 data_cost: 0.0012 ips: 24.4308 images/s [10/17 12:12:00] ppdet.engine INFO: Epoch: [233] [420/523] learning_rate: 0.046161 loss_vfl: 0.770023 loss_bbox: 0.269839 loss_dfl: 0.190077 loss: 1.223770 eta: 22:35:50 batch_cost: 2.3092 data_cost: 0.0019 ips: 24.2505 images/s [10/17 12:12:48] ppdet.engine INFO: Epoch: [233] [440/523] learning_rate: 0.046109 loss_vfl: 0.747865 loss_bbox: 0.279875 loss_dfl: 0.188183 loss: 1.209288 eta: 22:35:03 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2060 images/s [10/17 12:13:37] ppdet.engine INFO: Epoch: [233] [460/523] learning_rate: 0.046058 loss_vfl: 0.773986 loss_bbox: 0.273609 loss_dfl: 0.185238 loss: 1.214982 eta: 22:34:16 batch_cost: 2.3354 data_cost: 0.0013 ips: 23.9784 images/s [10/17 12:14:26] ppdet.engine INFO: Epoch: [233] [480/523] learning_rate: 0.046007 loss_vfl: 0.749267 loss_bbox: 0.274516 loss_dfl: 0.185052 loss: 1.216544 eta: 22:33:29 batch_cost: 2.3062 data_cost: 0.0012 ips: 24.2828 images/s [10/17 12:15:14] ppdet.engine INFO: Epoch: [233] [500/523] learning_rate: 0.045956 loss_vfl: 0.753707 loss_bbox: 0.279734 loss_dfl: 0.186870 loss: 1.207143 eta: 22:32:42 batch_cost: 2.3339 data_cost: 0.0021 ips: 23.9944 images/s [10/17 12:15:56] ppdet.engine INFO: Epoch: [233] [520/523] learning_rate: 0.045905 loss_vfl: 0.766131 loss_bbox: 0.276739 loss_dfl: 0.187392 loss: 1.233886 eta: 22:31:53 batch_cost: 1.9893 data_cost: 0.0012 ips: 28.1505 images/s [10/17 12:16:23] ppdet.engine INFO: Epoch: [234] [ 0/523] learning_rate: 0.045897 loss_vfl: 0.762893 loss_bbox: 0.273198 loss_dfl: 0.187392 loss: 1.233606 eta: 22:31:50 batch_cost: 2.7841 data_cost: 0.6089 ips: 20.1139 images/s [10/17 12:17:17] ppdet.engine INFO: Epoch: [234] [ 20/523] learning_rate: 0.045846 loss_vfl: 0.749563 loss_bbox: 0.258730 loss_dfl: 0.178998 loss: 1.187095 eta: 22:31:04 batch_cost: 2.5972 data_cost: 0.0020 ips: 21.5618 images/s [10/17 12:18:07] ppdet.engine INFO: Epoch: [234] [ 40/523] learning_rate: 0.045795 loss_vfl: 0.750640 loss_bbox: 0.270084 loss_dfl: 0.184884 loss: 1.187280 eta: 22:30:18 batch_cost: 2.3968 data_cost: 0.0014 ips: 23.3644 images/s [10/17 12:18:58] ppdet.engine INFO: Epoch: [234] [ 60/523] learning_rate: 0.045744 loss_vfl: 0.744157 loss_bbox: 0.251067 loss_dfl: 0.182827 loss: 1.183571 eta: 22:29:31 batch_cost: 2.4201 data_cost: 0.0012 ips: 23.1398 images/s [10/17 12:19:49] ppdet.engine INFO: Epoch: [234] [ 80/523] learning_rate: 0.045693 loss_vfl: 0.745474 loss_bbox: 0.261593 loss_dfl: 0.184205 loss: 1.200575 eta: 22:28:45 batch_cost: 2.4594 data_cost: 0.0013 ips: 22.7694 images/s [10/17 12:20:39] ppdet.engine INFO: Epoch: [234] [100/523] learning_rate: 0.045642 loss_vfl: 0.744785 loss_bbox: 0.273055 loss_dfl: 0.188633 loss: 1.216160 eta: 22:27:58 batch_cost: 2.3985 data_cost: 0.0012 ips: 23.3479 images/s [10/17 12:21:29] ppdet.engine INFO: Epoch: [234] [120/523] learning_rate: 0.045591 loss_vfl: 0.746625 loss_bbox: 0.264414 loss_dfl: 0.187333 loss: 1.197679 eta: 22:27:11 batch_cost: 2.3553 data_cost: 0.0013 ips: 23.7757 images/s [10/17 12:22:18] ppdet.engine INFO: Epoch: [234] [140/523] learning_rate: 0.045541 loss_vfl: 0.751698 loss_bbox: 0.241881 loss_dfl: 0.174274 loss: 1.187793 eta: 22:26:24 batch_cost: 2.3630 data_cost: 0.0012 ips: 23.6991 images/s [10/17 12:23:07] ppdet.engine INFO: Epoch: [234] [160/523] learning_rate: 0.045490 loss_vfl: 0.757322 loss_bbox: 0.265334 loss_dfl: 0.189990 loss: 1.207373 eta: 22:25:37 batch_cost: 2.3223 data_cost: 0.0013 ips: 24.1144 images/s [10/17 12:23:56] ppdet.engine INFO: Epoch: [234] [180/523] learning_rate: 0.045439 loss_vfl: 0.747554 loss_bbox: 0.281046 loss_dfl: 0.181812 loss: 1.210860 eta: 22:24:50 batch_cost: 2.3519 data_cost: 0.0013 ips: 23.8103 images/s [10/17 12:24:46] ppdet.engine INFO: Epoch: [234] [200/523] learning_rate: 0.045388 loss_vfl: 0.759434 loss_bbox: 0.263542 loss_dfl: 0.186787 loss: 1.211310 eta: 22:24:03 batch_cost: 2.4017 data_cost: 0.0013 ips: 23.3171 images/s [10/17 12:25:36] ppdet.engine INFO: Epoch: [234] [220/523] learning_rate: 0.045337 loss_vfl: 0.743017 loss_bbox: 0.275957 loss_dfl: 0.182445 loss: 1.215684 eta: 22:23:16 batch_cost: 2.3832 data_cost: 0.0012 ips: 23.4980 images/s [10/17 12:26:25] ppdet.engine INFO: Epoch: [234] [240/523] learning_rate: 0.045287 loss_vfl: 0.761312 loss_bbox: 0.274144 loss_dfl: 0.176966 loss: 1.206520 eta: 22:22:29 batch_cost: 2.3320 data_cost: 0.0012 ips: 24.0136 images/s [10/17 12:27:14] ppdet.engine INFO: Epoch: [234] [260/523] learning_rate: 0.045236 loss_vfl: 0.757266 loss_bbox: 0.284925 loss_dfl: 0.190753 loss: 1.230824 eta: 22:21:42 batch_cost: 2.3168 data_cost: 0.0013 ips: 24.1711 images/s [10/17 12:28:02] ppdet.engine INFO: Epoch: [234] [280/523] learning_rate: 0.045185 loss_vfl: 0.747585 loss_bbox: 0.282409 loss_dfl: 0.194351 loss: 1.248354 eta: 22:20:55 batch_cost: 2.3358 data_cost: 0.0020 ips: 23.9749 images/s [10/17 12:28:50] ppdet.engine INFO: Epoch: [234] [300/523] learning_rate: 0.045134 loss_vfl: 0.756564 loss_bbox: 0.273529 loss_dfl: 0.186205 loss: 1.213347 eta: 22:20:08 batch_cost: 2.2913 data_cost: 0.0012 ips: 24.4406 images/s [10/17 12:29:40] ppdet.engine INFO: Epoch: [234] [320/523] learning_rate: 0.045084 loss_vfl: 0.766734 loss_bbox: 0.269911 loss_dfl: 0.179898 loss: 1.220036 eta: 22:19:21 batch_cost: 2.3598 data_cost: 0.0012 ips: 23.7305 images/s [10/17 12:30:30] ppdet.engine INFO: Epoch: [234] [340/523] learning_rate: 0.045033 loss_vfl: 0.751249 loss_bbox: 0.264593 loss_dfl: 0.175174 loss: 1.200854 eta: 22:18:34 batch_cost: 2.3805 data_cost: 0.0013 ips: 23.5248 images/s [10/17 12:31:20] ppdet.engine INFO: Epoch: [234] [360/523] learning_rate: 0.044982 loss_vfl: 0.757170 loss_bbox: 0.238153 loss_dfl: 0.168021 loss: 1.166706 eta: 22:17:47 batch_cost: 2.3867 data_cost: 0.0012 ips: 23.4638 images/s [10/17 12:32:09] ppdet.engine INFO: Epoch: [234] [380/523] learning_rate: 0.044932 loss_vfl: 0.757396 loss_bbox: 0.270171 loss_dfl: 0.182083 loss: 1.220592 eta: 22:17:00 batch_cost: 2.3532 data_cost: 0.0013 ips: 23.7970 images/s [10/17 12:32:59] ppdet.engine INFO: Epoch: [234] [400/523] learning_rate: 0.044881 loss_vfl: 0.754600 loss_bbox: 0.274112 loss_dfl: 0.177288 loss: 1.214112 eta: 22:16:13 batch_cost: 2.4158 data_cost: 0.0012 ips: 23.1809 images/s [10/17 12:33:51] ppdet.engine INFO: Epoch: [234] [420/523] learning_rate: 0.044831 loss_vfl: 0.777420 loss_bbox: 0.279606 loss_dfl: 0.185338 loss: 1.238743 eta: 22:15:27 batch_cost: 2.4501 data_cost: 0.0039 ips: 22.8560 images/s [10/17 12:34:41] ppdet.engine INFO: Epoch: [234] [440/523] learning_rate: 0.044780 loss_vfl: 0.743116 loss_bbox: 0.279521 loss_dfl: 0.187922 loss: 1.222714 eta: 22:14:40 batch_cost: 2.3701 data_cost: 0.0014 ips: 23.6275 images/s [10/17 12:35:30] ppdet.engine INFO: Epoch: [234] [460/523] learning_rate: 0.044730 loss_vfl: 0.756261 loss_bbox: 0.262134 loss_dfl: 0.183240 loss: 1.202352 eta: 22:13:53 batch_cost: 2.3517 data_cost: 0.0013 ips: 23.8122 images/s [10/17 12:36:19] ppdet.engine INFO: Epoch: [234] [480/523] learning_rate: 0.044679 loss_vfl: 0.765790 loss_bbox: 0.265612 loss_dfl: 0.176936 loss: 1.207672 eta: 22:13:06 batch_cost: 2.3316 data_cost: 0.0013 ips: 24.0183 images/s [10/17 12:37:09] ppdet.engine INFO: Epoch: [234] [500/523] learning_rate: 0.044629 loss_vfl: 0.761388 loss_bbox: 0.254377 loss_dfl: 0.178318 loss: 1.180282 eta: 22:12:19 batch_cost: 2.3746 data_cost: 0.0012 ips: 23.5832 images/s [10/17 12:37:53] ppdet.engine INFO: Epoch: [234] [520/523] learning_rate: 0.044578 loss_vfl: 0.732263 loss_bbox: 0.263441 loss_dfl: 0.184043 loss: 1.202273 eta: 22:11:31 batch_cost: 2.0995 data_cost: 0.0018 ips: 26.6736 images/s [10/17 12:38:24] ppdet.engine INFO: Epoch: [235] [ 0/523] learning_rate: 0.044571 loss_vfl: 0.732365 loss_bbox: 0.263441 loss_dfl: 0.184043 loss: 1.187769 eta: 22:11:29 batch_cost: 3.0850 data_cost: 0.4540 ips: 18.1521 images/s [10/17 12:39:15] ppdet.engine INFO: Epoch: [235] [ 20/523] learning_rate: 0.044520 loss_vfl: 0.761609 loss_bbox: 0.257192 loss_dfl: 0.177585 loss: 1.204164 eta: 22:10:43 batch_cost: 2.4426 data_cost: 0.0012 ips: 22.9263 images/s [10/17 12:40:04] ppdet.engine INFO: Epoch: [235] [ 40/523] learning_rate: 0.044470 loss_vfl: 0.750970 loss_bbox: 0.268443 loss_dfl: 0.183931 loss: 1.208572 eta: 22:09:56 batch_cost: 2.3151 data_cost: 0.0012 ips: 24.1891 images/s [10/17 12:40:52] ppdet.engine INFO: Epoch: [235] [ 60/523] learning_rate: 0.044420 loss_vfl: 0.751932 loss_bbox: 0.281028 loss_dfl: 0.188128 loss: 1.241058 eta: 22:09:08 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0984 images/s [10/17 12:41:43] ppdet.engine INFO: Epoch: [235] [ 80/523] learning_rate: 0.044369 loss_vfl: 0.765264 loss_bbox: 0.265376 loss_dfl: 0.183824 loss: 1.220831 eta: 22:08:22 batch_cost: 2.4249 data_cost: 0.0013 ips: 23.0934 images/s [10/17 12:42:34] ppdet.engine INFO: Epoch: [235] [100/523] learning_rate: 0.044319 loss_vfl: 0.742185 loss_bbox: 0.280321 loss_dfl: 0.189351 loss: 1.217208 eta: 22:07:35 batch_cost: 2.4236 data_cost: 0.0020 ips: 23.1065 images/s [10/17 12:43:22] ppdet.engine INFO: Epoch: [235] [120/523] learning_rate: 0.044269 loss_vfl: 0.734843 loss_bbox: 0.257325 loss_dfl: 0.180085 loss: 1.176271 eta: 22:06:48 batch_cost: 2.3167 data_cost: 0.0012 ips: 24.1722 images/s [10/17 12:44:11] ppdet.engine INFO: Epoch: [235] [140/523] learning_rate: 0.044219 loss_vfl: 0.743500 loss_bbox: 0.266125 loss_dfl: 0.178205 loss: 1.206611 eta: 22:06:01 batch_cost: 2.3363 data_cost: 0.0013 ips: 23.9695 images/s [10/17 12:45:00] ppdet.engine INFO: Epoch: [235] [160/523] learning_rate: 0.044168 loss_vfl: 0.737112 loss_bbox: 0.271683 loss_dfl: 0.185781 loss: 1.196217 eta: 22:05:14 batch_cost: 2.3170 data_cost: 0.0013 ips: 24.1697 images/s [10/17 12:45:49] ppdet.engine INFO: Epoch: [235] [180/523] learning_rate: 0.044118 loss_vfl: 0.749980 loss_bbox: 0.254476 loss_dfl: 0.177104 loss: 1.191477 eta: 22:04:27 batch_cost: 2.3550 data_cost: 0.0013 ips: 23.7790 images/s [10/17 12:46:38] ppdet.engine INFO: Epoch: [235] [200/523] learning_rate: 0.044068 loss_vfl: 0.744076 loss_bbox: 0.248070 loss_dfl: 0.172301 loss: 1.180768 eta: 22:03:40 batch_cost: 2.3588 data_cost: 0.0013 ips: 23.7412 images/s [10/17 12:47:27] ppdet.engine INFO: Epoch: [235] [220/523] learning_rate: 0.044018 loss_vfl: 0.769267 loss_bbox: 0.254469 loss_dfl: 0.177099 loss: 1.201149 eta: 22:02:53 batch_cost: 2.3244 data_cost: 0.0012 ips: 24.0919 images/s [10/17 12:48:18] ppdet.engine INFO: Epoch: [235] [240/523] learning_rate: 0.043968 loss_vfl: 0.749498 loss_bbox: 0.273984 loss_dfl: 0.183582 loss: 1.207343 eta: 22:02:06 batch_cost: 2.4310 data_cost: 0.0014 ips: 23.0357 images/s [10/17 12:49:08] ppdet.engine INFO: Epoch: [235] [260/523] learning_rate: 0.043918 loss_vfl: 0.751768 loss_bbox: 0.272638 loss_dfl: 0.179232 loss: 1.194400 eta: 22:01:19 batch_cost: 2.3853 data_cost: 0.0013 ips: 23.4776 images/s [10/17 12:49:56] ppdet.engine INFO: Epoch: [235] [280/523] learning_rate: 0.043868 loss_vfl: 0.755036 loss_bbox: 0.269600 loss_dfl: 0.185426 loss: 1.200713 eta: 22:00:32 batch_cost: 2.2821 data_cost: 0.0019 ips: 24.5392 images/s [10/17 12:50:46] ppdet.engine INFO: Epoch: [235] [300/523] learning_rate: 0.043818 loss_vfl: 0.744912 loss_bbox: 0.265491 loss_dfl: 0.172414 loss: 1.182138 eta: 21:59:45 batch_cost: 2.3799 data_cost: 0.0013 ips: 23.5304 images/s [10/17 12:51:35] ppdet.engine INFO: Epoch: [235] [320/523] learning_rate: 0.043768 loss_vfl: 0.769916 loss_bbox: 0.267367 loss_dfl: 0.185524 loss: 1.234962 eta: 21:58:58 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6572 images/s [10/17 12:52:26] ppdet.engine INFO: Epoch: [235] [340/523] learning_rate: 0.043718 loss_vfl: 0.762904 loss_bbox: 0.248556 loss_dfl: 0.174818 loss: 1.184371 eta: 21:58:12 batch_cost: 2.4217 data_cost: 0.0013 ips: 23.1242 images/s [10/17 12:53:14] ppdet.engine INFO: Epoch: [235] [360/523] learning_rate: 0.043668 loss_vfl: 0.747067 loss_bbox: 0.269259 loss_dfl: 0.174903 loss: 1.188417 eta: 21:57:24 batch_cost: 2.2910 data_cost: 0.0013 ips: 24.4431 images/s [10/17 12:54:02] ppdet.engine INFO: Epoch: [235] [380/523] learning_rate: 0.043618 loss_vfl: 0.753222 loss_bbox: 0.261933 loss_dfl: 0.178179 loss: 1.220832 eta: 21:56:37 batch_cost: 2.2767 data_cost: 0.0021 ips: 24.5968 images/s [10/17 12:54:53] ppdet.engine INFO: Epoch: [235] [400/523] learning_rate: 0.043568 loss_vfl: 0.753525 loss_bbox: 0.272695 loss_dfl: 0.181659 loss: 1.209018 eta: 21:55:50 batch_cost: 2.4251 data_cost: 0.0013 ips: 23.0916 images/s [10/17 12:55:42] ppdet.engine INFO: Epoch: [235] [420/523] learning_rate: 0.043518 loss_vfl: 0.737098 loss_bbox: 0.262342 loss_dfl: 0.179038 loss: 1.189939 eta: 21:55:03 batch_cost: 2.3519 data_cost: 0.0018 ips: 23.8109 images/s [10/17 12:56:32] ppdet.engine INFO: Epoch: [235] [440/523] learning_rate: 0.043468 loss_vfl: 0.759033 loss_bbox: 0.269183 loss_dfl: 0.180336 loss: 1.201023 eta: 21:54:17 batch_cost: 2.4006 data_cost: 0.0012 ips: 23.3276 images/s [10/17 12:57:22] ppdet.engine INFO: Epoch: [235] [460/523] learning_rate: 0.043418 loss_vfl: 0.761442 loss_bbox: 0.260860 loss_dfl: 0.179605 loss: 1.202837 eta: 21:53:30 batch_cost: 2.3859 data_cost: 0.0014 ips: 23.4713 images/s [10/17 12:58:10] ppdet.engine INFO: Epoch: [235] [480/523] learning_rate: 0.043368 loss_vfl: 0.754269 loss_bbox: 0.260521 loss_dfl: 0.180329 loss: 1.181686 eta: 21:52:42 batch_cost: 2.2840 data_cost: 0.0012 ips: 24.5187 images/s [10/17 12:59:00] ppdet.engine INFO: Epoch: [235] [500/523] learning_rate: 0.043319 loss_vfl: 0.743825 loss_bbox: 0.267662 loss_dfl: 0.185997 loss: 1.207188 eta: 21:51:56 batch_cost: 2.4039 data_cost: 0.0013 ips: 23.2950 images/s [10/17 12:59:44] ppdet.engine INFO: Epoch: [235] [520/523] learning_rate: 0.043269 loss_vfl: 0.767183 loss_bbox: 0.261969 loss_dfl: 0.176096 loss: 1.204403 eta: 21:51:07 batch_cost: 2.0890 data_cost: 0.0023 ips: 26.8070 images/s [10/17 13:00:18] ppdet.engine INFO: Epoch: [236] [ 0/523] learning_rate: 0.043261 loss_vfl: 0.757771 loss_bbox: 0.261969 loss_dfl: 0.173334 loss: 1.189839 eta: 21:51:06 batch_cost: 3.2159 data_cost: 0.8575 ips: 17.4134 images/s [10/17 13:01:10] ppdet.engine INFO: Epoch: [236] [ 20/523] learning_rate: 0.043212 loss_vfl: 0.755359 loss_bbox: 0.259070 loss_dfl: 0.176566 loss: 1.196463 eta: 21:50:20 batch_cost: 2.4601 data_cost: 0.0029 ips: 22.7634 images/s [10/17 13:02:00] ppdet.engine INFO: Epoch: [236] [ 40/523] learning_rate: 0.043162 loss_vfl: 0.750809 loss_bbox: 0.257453 loss_dfl: 0.181736 loss: 1.188779 eta: 21:49:33 batch_cost: 2.3949 data_cost: 0.0022 ips: 23.3832 images/s [10/17 13:02:50] ppdet.engine INFO: Epoch: [236] [ 60/523] learning_rate: 0.043112 loss_vfl: 0.752007 loss_bbox: 0.281150 loss_dfl: 0.189881 loss: 1.221670 eta: 21:48:47 batch_cost: 2.4066 data_cost: 0.0016 ips: 23.2690 images/s [10/17 13:03:39] ppdet.engine INFO: Epoch: [236] [ 80/523] learning_rate: 0.043063 loss_vfl: 0.744628 loss_bbox: 0.266975 loss_dfl: 0.189416 loss: 1.203353 eta: 21:48:00 batch_cost: 2.3535 data_cost: 0.0014 ips: 23.7941 images/s [10/17 13:04:28] ppdet.engine INFO: Epoch: [236] [100/523] learning_rate: 0.043013 loss_vfl: 0.770596 loss_bbox: 0.270004 loss_dfl: 0.179284 loss: 1.205732 eta: 21:47:13 batch_cost: 2.3465 data_cost: 0.0012 ips: 23.8658 images/s [10/17 13:05:17] ppdet.engine INFO: Epoch: [236] [120/523] learning_rate: 0.042963 loss_vfl: 0.757153 loss_bbox: 0.288361 loss_dfl: 0.194301 loss: 1.232497 eta: 21:46:25 batch_cost: 2.3479 data_cost: 0.0012 ips: 23.8509 images/s [10/17 13:06:04] ppdet.engine INFO: Epoch: [236] [140/523] learning_rate: 0.042914 loss_vfl: 0.752596 loss_bbox: 0.271381 loss_dfl: 0.187834 loss: 1.210786 eta: 21:45:38 batch_cost: 2.2519 data_cost: 0.0023 ips: 24.8676 images/s [10/17 13:06:53] ppdet.engine INFO: Epoch: [236] [160/523] learning_rate: 0.042864 loss_vfl: 0.749330 loss_bbox: 0.282604 loss_dfl: 0.192734 loss: 1.222900 eta: 21:44:51 batch_cost: 2.3295 data_cost: 0.0012 ips: 24.0399 images/s [10/17 13:07:42] ppdet.engine INFO: Epoch: [236] [180/523] learning_rate: 0.042815 loss_vfl: 0.745067 loss_bbox: 0.281774 loss_dfl: 0.188691 loss: 1.236755 eta: 21:44:04 batch_cost: 2.3406 data_cost: 0.0012 ips: 23.9251 images/s [10/17 13:08:33] ppdet.engine INFO: Epoch: [236] [200/523] learning_rate: 0.042765 loss_vfl: 0.752127 loss_bbox: 0.246505 loss_dfl: 0.171894 loss: 1.179456 eta: 21:43:17 batch_cost: 2.4306 data_cost: 0.0013 ips: 23.0395 images/s [10/17 13:09:22] ppdet.engine INFO: Epoch: [236] [220/523] learning_rate: 0.042716 loss_vfl: 0.743438 loss_bbox: 0.258906 loss_dfl: 0.183206 loss: 1.192263 eta: 21:42:30 batch_cost: 2.3642 data_cost: 0.0012 ips: 23.6866 images/s [10/17 13:10:10] ppdet.engine INFO: Epoch: [236] [240/523] learning_rate: 0.042666 loss_vfl: 0.747326 loss_bbox: 0.260517 loss_dfl: 0.184819 loss: 1.201080 eta: 21:41:43 batch_cost: 2.2960 data_cost: 0.0012 ips: 24.3905 images/s [10/17 13:10:59] ppdet.engine INFO: Epoch: [236] [260/523] learning_rate: 0.042617 loss_vfl: 0.745767 loss_bbox: 0.261823 loss_dfl: 0.180195 loss: 1.179188 eta: 21:40:56 batch_cost: 2.3252 data_cost: 0.0012 ips: 24.0843 images/s [10/17 13:11:47] ppdet.engine INFO: Epoch: [236] [280/523] learning_rate: 0.042567 loss_vfl: 0.756855 loss_bbox: 0.268631 loss_dfl: 0.187453 loss: 1.195266 eta: 21:40:09 batch_cost: 2.3226 data_cost: 0.0013 ips: 24.1111 images/s [10/17 13:12:38] ppdet.engine INFO: Epoch: [236] [300/523] learning_rate: 0.042518 loss_vfl: 0.750976 loss_bbox: 0.256775 loss_dfl: 0.175311 loss: 1.186576 eta: 21:39:22 batch_cost: 2.4079 data_cost: 0.0013 ips: 23.2569 images/s [10/17 13:13:28] ppdet.engine INFO: Epoch: [236] [320/523] learning_rate: 0.042469 loss_vfl: 0.749839 loss_bbox: 0.261851 loss_dfl: 0.175652 loss: 1.201730 eta: 21:38:35 batch_cost: 2.4067 data_cost: 0.0016 ips: 23.2688 images/s [10/17 13:14:17] ppdet.engine INFO: Epoch: [236] [340/523] learning_rate: 0.042419 loss_vfl: 0.764414 loss_bbox: 0.274582 loss_dfl: 0.182748 loss: 1.216907 eta: 21:37:48 batch_cost: 2.3570 data_cost: 0.0015 ips: 23.7591 images/s [10/17 13:15:06] ppdet.engine INFO: Epoch: [236] [360/523] learning_rate: 0.042370 loss_vfl: 0.752186 loss_bbox: 0.278629 loss_dfl: 0.188239 loss: 1.230502 eta: 21:37:01 batch_cost: 2.2918 data_cost: 0.0013 ips: 24.4351 images/s [10/17 13:15:54] ppdet.engine INFO: Epoch: [236] [380/523] learning_rate: 0.042321 loss_vfl: 0.766701 loss_bbox: 0.278094 loss_dfl: 0.188241 loss: 1.207534 eta: 21:36:14 batch_cost: 2.3220 data_cost: 0.0012 ips: 24.1176 images/s [10/17 13:16:42] ppdet.engine INFO: Epoch: [236] [400/523] learning_rate: 0.042271 loss_vfl: 0.743994 loss_bbox: 0.259567 loss_dfl: 0.181584 loss: 1.206385 eta: 21:35:27 batch_cost: 2.2871 data_cost: 0.0013 ips: 24.4855 images/s [10/17 13:17:33] ppdet.engine INFO: Epoch: [236] [420/523] learning_rate: 0.042222 loss_vfl: 0.764384 loss_bbox: 0.264936 loss_dfl: 0.186428 loss: 1.207717 eta: 21:34:40 batch_cost: 2.4419 data_cost: 0.0028 ips: 22.9334 images/s [10/17 13:18:23] ppdet.engine INFO: Epoch: [236] [440/523] learning_rate: 0.042173 loss_vfl: 0.754795 loss_bbox: 0.275386 loss_dfl: 0.186635 loss: 1.204835 eta: 21:33:53 batch_cost: 2.3548 data_cost: 0.0012 ips: 23.7816 images/s [10/17 13:19:12] ppdet.engine INFO: Epoch: [236] [460/523] learning_rate: 0.042124 loss_vfl: 0.744291 loss_bbox: 0.292859 loss_dfl: 0.189914 loss: 1.242578 eta: 21:33:06 batch_cost: 2.3629 data_cost: 0.0012 ips: 23.6999 images/s [10/17 13:20:01] ppdet.engine INFO: Epoch: [236] [480/523] learning_rate: 0.042075 loss_vfl: 0.751234 loss_bbox: 0.263282 loss_dfl: 0.181227 loss: 1.192118 eta: 21:32:19 batch_cost: 2.3517 data_cost: 0.0012 ips: 23.8127 images/s [10/17 13:20:52] ppdet.engine INFO: Epoch: [236] [500/523] learning_rate: 0.042025 loss_vfl: 0.750977 loss_bbox: 0.268611 loss_dfl: 0.181282 loss: 1.195162 eta: 21:31:32 batch_cost: 2.4131 data_cost: 0.0027 ips: 23.2068 images/s [10/17 13:21:39] ppdet.engine INFO: Epoch: [236] [520/523] learning_rate: 0.041976 loss_vfl: 0.748219 loss_bbox: 0.263345 loss_dfl: 0.183354 loss: 1.194754 eta: 21:30:45 batch_cost: 2.2141 data_cost: 0.0013 ips: 25.2922 images/s [10/17 13:22:10] ppdet.engine INFO: Epoch: [237] [ 0/523] learning_rate: 0.041969 loss_vfl: 0.738822 loss_bbox: 0.252595 loss_dfl: 0.178527 loss: 1.187543 eta: 21:30:43 batch_cost: 3.2583 data_cost: 0.5772 ips: 17.1867 images/s [10/17 13:23:01] ppdet.engine INFO: Epoch: [237] [ 20/523] learning_rate: 0.041920 loss_vfl: 0.726524 loss_bbox: 0.260689 loss_dfl: 0.183667 loss: 1.165504 eta: 21:29:56 batch_cost: 2.3828 data_cost: 0.0015 ips: 23.5020 images/s [10/17 13:23:50] ppdet.engine INFO: Epoch: [237] [ 40/523] learning_rate: 0.041871 loss_vfl: 0.756374 loss_bbox: 0.270121 loss_dfl: 0.182580 loss: 1.213924 eta: 21:29:10 batch_cost: 2.3814 data_cost: 0.0013 ips: 23.5152 images/s [10/17 13:24:39] ppdet.engine INFO: Epoch: [237] [ 60/523] learning_rate: 0.041822 loss_vfl: 0.723270 loss_bbox: 0.261437 loss_dfl: 0.181574 loss: 1.170907 eta: 21:28:22 batch_cost: 2.3012 data_cost: 0.0012 ips: 24.3351 images/s [10/17 13:25:29] ppdet.engine INFO: Epoch: [237] [ 80/523] learning_rate: 0.041773 loss_vfl: 0.744455 loss_bbox: 0.280444 loss_dfl: 0.185225 loss: 1.202393 eta: 21:27:35 batch_cost: 2.3765 data_cost: 0.0013 ips: 23.5644 images/s [10/17 13:26:18] ppdet.engine INFO: Epoch: [237] [100/523] learning_rate: 0.041724 loss_vfl: 0.757963 loss_bbox: 0.286626 loss_dfl: 0.187979 loss: 1.238700 eta: 21:26:49 batch_cost: 2.3680 data_cost: 0.0012 ips: 23.6483 images/s [10/17 13:27:06] ppdet.engine INFO: Epoch: [237] [120/523] learning_rate: 0.041675 loss_vfl: 0.732986 loss_bbox: 0.260431 loss_dfl: 0.185001 loss: 1.188651 eta: 21:26:01 batch_cost: 2.2920 data_cost: 0.0013 ips: 24.4324 images/s [10/17 13:27:57] ppdet.engine INFO: Epoch: [237] [140/523] learning_rate: 0.041626 loss_vfl: 0.758367 loss_bbox: 0.279534 loss_dfl: 0.189237 loss: 1.203010 eta: 21:25:15 batch_cost: 2.4147 data_cost: 0.0029 ips: 23.1913 images/s [10/17 13:28:46] ppdet.engine INFO: Epoch: [237] [160/523] learning_rate: 0.041577 loss_vfl: 0.755476 loss_bbox: 0.268382 loss_dfl: 0.188353 loss: 1.229641 eta: 21:24:28 batch_cost: 2.3803 data_cost: 0.0015 ips: 23.5269 images/s [10/17 13:29:35] ppdet.engine INFO: Epoch: [237] [180/523] learning_rate: 0.041528 loss_vfl: 0.757686 loss_bbox: 0.275636 loss_dfl: 0.186321 loss: 1.213133 eta: 21:23:41 batch_cost: 2.3425 data_cost: 0.0013 ips: 23.9065 images/s [10/17 13:30:24] ppdet.engine INFO: Epoch: [237] [200/523] learning_rate: 0.041479 loss_vfl: 0.748815 loss_bbox: 0.273956 loss_dfl: 0.187339 loss: 1.207810 eta: 21:22:54 batch_cost: 2.3379 data_cost: 0.0025 ips: 23.9533 images/s [10/17 13:31:13] ppdet.engine INFO: Epoch: [237] [220/523] learning_rate: 0.041431 loss_vfl: 0.737901 loss_bbox: 0.257394 loss_dfl: 0.181002 loss: 1.192170 eta: 21:22:07 batch_cost: 2.3509 data_cost: 0.0012 ips: 23.8202 images/s [10/17 13:32:02] ppdet.engine INFO: Epoch: [237] [240/523] learning_rate: 0.041382 loss_vfl: 0.761235 loss_bbox: 0.248925 loss_dfl: 0.177282 loss: 1.187356 eta: 21:21:20 batch_cost: 2.3437 data_cost: 0.0019 ips: 23.8942 images/s [10/17 13:32:50] ppdet.engine INFO: Epoch: [237] [260/523] learning_rate: 0.041333 loss_vfl: 0.760504 loss_bbox: 0.262240 loss_dfl: 0.183875 loss: 1.193534 eta: 21:20:32 batch_cost: 2.2681 data_cost: 0.0012 ips: 24.6905 images/s [10/17 13:33:38] ppdet.engine INFO: Epoch: [237] [280/523] learning_rate: 0.041284 loss_vfl: 0.751676 loss_bbox: 0.269657 loss_dfl: 0.187838 loss: 1.221866 eta: 21:19:45 batch_cost: 2.3243 data_cost: 0.0012 ips: 24.0928 images/s [10/17 13:34:27] ppdet.engine INFO: Epoch: [237] [300/523] learning_rate: 0.041236 loss_vfl: 0.766039 loss_bbox: 0.259766 loss_dfl: 0.175769 loss: 1.211715 eta: 21:18:58 batch_cost: 2.3491 data_cost: 0.0026 ips: 23.8387 images/s [10/17 13:35:17] ppdet.engine INFO: Epoch: [237] [320/523] learning_rate: 0.041187 loss_vfl: 0.757672 loss_bbox: 0.263139 loss_dfl: 0.180656 loss: 1.196469 eta: 21:18:11 batch_cost: 2.3971 data_cost: 0.0014 ips: 23.3620 images/s [10/17 13:36:08] ppdet.engine INFO: Epoch: [237] [340/523] learning_rate: 0.041138 loss_vfl: 0.753456 loss_bbox: 0.272108 loss_dfl: 0.182817 loss: 1.220044 eta: 21:17:24 batch_cost: 2.3989 data_cost: 0.0019 ips: 23.3442 images/s [10/17 13:36:56] ppdet.engine INFO: Epoch: [237] [360/523] learning_rate: 0.041090 loss_vfl: 0.754251 loss_bbox: 0.278890 loss_dfl: 0.185213 loss: 1.220491 eta: 21:16:37 batch_cost: 2.3257 data_cost: 0.0015 ips: 24.0784 images/s [10/17 13:37:45] ppdet.engine INFO: Epoch: [237] [380/523] learning_rate: 0.041041 loss_vfl: 0.748209 loss_bbox: 0.251708 loss_dfl: 0.181883 loss: 1.185232 eta: 21:15:50 batch_cost: 2.3360 data_cost: 0.0024 ips: 23.9729 images/s [10/17 13:38:34] ppdet.engine INFO: Epoch: [237] [400/523] learning_rate: 0.040992 loss_vfl: 0.750853 loss_bbox: 0.262925 loss_dfl: 0.180979 loss: 1.183749 eta: 21:15:03 batch_cost: 2.3502 data_cost: 0.0036 ips: 23.8281 images/s [10/17 13:39:25] ppdet.engine INFO: Epoch: [237] [420/523] learning_rate: 0.040944 loss_vfl: 0.739193 loss_bbox: 0.267770 loss_dfl: 0.188567 loss: 1.205698 eta: 21:14:16 batch_cost: 2.3926 data_cost: 0.0014 ips: 23.4058 images/s [10/17 13:40:14] ppdet.engine INFO: Epoch: [237] [440/523] learning_rate: 0.040895 loss_vfl: 0.756477 loss_bbox: 0.248626 loss_dfl: 0.178149 loss: 1.185292 eta: 21:13:29 batch_cost: 2.3527 data_cost: 0.0012 ips: 23.8028 images/s [10/17 13:41:05] ppdet.engine INFO: Epoch: [237] [460/523] learning_rate: 0.040847 loss_vfl: 0.737907 loss_bbox: 0.254872 loss_dfl: 0.178892 loss: 1.171428 eta: 21:12:43 batch_cost: 2.4371 data_cost: 0.0013 ips: 22.9784 images/s [10/17 13:41:55] ppdet.engine INFO: Epoch: [237] [480/523] learning_rate: 0.040798 loss_vfl: 0.755743 loss_bbox: 0.265050 loss_dfl: 0.174342 loss: 1.191872 eta: 21:11:56 batch_cost: 2.4295 data_cost: 0.0018 ips: 23.0503 images/s [10/17 13:42:44] ppdet.engine INFO: Epoch: [237] [500/523] learning_rate: 0.040750 loss_vfl: 0.756209 loss_bbox: 0.274424 loss_dfl: 0.186581 loss: 1.213466 eta: 21:11:09 batch_cost: 2.3303 data_cost: 0.0013 ips: 24.0314 images/s [10/17 13:43:27] ppdet.engine INFO: Epoch: [237] [520/523] learning_rate: 0.040701 loss_vfl: 0.749870 loss_bbox: 0.262613 loss_dfl: 0.178669 loss: 1.200551 eta: 21:10:21 batch_cost: 2.0461 data_cost: 0.0012 ips: 27.3696 images/s [10/17 13:43:54] ppdet.engine INFO: Epoch: [238] [ 0/523] learning_rate: 0.040694 loss_vfl: 0.749870 loss_bbox: 0.262613 loss_dfl: 0.180429 loss: 1.208652 eta: 21:10:17 batch_cost: 2.7866 data_cost: 0.4967 ips: 20.0959 images/s [10/17 13:44:47] ppdet.engine INFO: Epoch: [238] [ 20/523] learning_rate: 0.040646 loss_vfl: 0.748996 loss_bbox: 0.250758 loss_dfl: 0.175977 loss: 1.164791 eta: 21:09:31 batch_cost: 2.5512 data_cost: 0.0015 ips: 21.9504 images/s [10/17 13:45:38] ppdet.engine INFO: Epoch: [238] [ 40/523] learning_rate: 0.040597 loss_vfl: 0.741647 loss_bbox: 0.265073 loss_dfl: 0.182891 loss: 1.202103 eta: 21:08:45 batch_cost: 2.3903 data_cost: 0.0013 ips: 23.4282 images/s [10/17 13:46:28] ppdet.engine INFO: Epoch: [238] [ 60/523] learning_rate: 0.040549 loss_vfl: 0.741803 loss_bbox: 0.274362 loss_dfl: 0.186056 loss: 1.192442 eta: 21:07:58 batch_cost: 2.3971 data_cost: 0.0012 ips: 23.3617 images/s [10/17 13:47:17] ppdet.engine INFO: Epoch: [238] [ 80/523] learning_rate: 0.040501 loss_vfl: 0.750767 loss_bbox: 0.265760 loss_dfl: 0.181507 loss: 1.208277 eta: 21:07:11 batch_cost: 2.3416 data_cost: 0.0012 ips: 23.9155 images/s [10/17 13:48:06] ppdet.engine INFO: Epoch: [238] [100/523] learning_rate: 0.040452 loss_vfl: 0.736238 loss_bbox: 0.257330 loss_dfl: 0.174032 loss: 1.164483 eta: 21:06:24 batch_cost: 2.3603 data_cost: 0.0013 ips: 23.7257 images/s [10/17 13:48:56] ppdet.engine INFO: Epoch: [238] [120/523] learning_rate: 0.040404 loss_vfl: 0.748880 loss_bbox: 0.259039 loss_dfl: 0.177142 loss: 1.191206 eta: 21:05:37 batch_cost: 2.3851 data_cost: 0.0013 ips: 23.4795 images/s [10/17 13:49:46] ppdet.engine INFO: Epoch: [238] [140/523] learning_rate: 0.040356 loss_vfl: 0.748352 loss_bbox: 0.261519 loss_dfl: 0.188392 loss: 1.190178 eta: 21:04:50 batch_cost: 2.3780 data_cost: 0.0027 ips: 23.5494 images/s [10/17 13:50:35] ppdet.engine INFO: Epoch: [238] [160/523] learning_rate: 0.040307 loss_vfl: 0.745561 loss_bbox: 0.247759 loss_dfl: 0.175220 loss: 1.172439 eta: 21:04:03 batch_cost: 2.3462 data_cost: 0.0012 ips: 23.8685 images/s [10/17 13:51:24] ppdet.engine INFO: Epoch: [238] [180/523] learning_rate: 0.040259 loss_vfl: 0.746598 loss_bbox: 0.261736 loss_dfl: 0.179339 loss: 1.202183 eta: 21:03:16 batch_cost: 2.3495 data_cost: 0.0013 ips: 23.8349 images/s [10/17 13:52:14] ppdet.engine INFO: Epoch: [238] [200/523] learning_rate: 0.040211 loss_vfl: 0.752248 loss_bbox: 0.254064 loss_dfl: 0.175415 loss: 1.163785 eta: 21:02:29 batch_cost: 2.3876 data_cost: 0.0034 ips: 23.4541 images/s [10/17 13:53:05] ppdet.engine INFO: Epoch: [238] [220/523] learning_rate: 0.040163 loss_vfl: 0.746832 loss_bbox: 0.271259 loss_dfl: 0.184744 loss: 1.223799 eta: 21:01:43 batch_cost: 2.4586 data_cost: 0.0020 ips: 22.7775 images/s [10/17 13:53:54] ppdet.engine INFO: Epoch: [238] [240/523] learning_rate: 0.040115 loss_vfl: 0.758556 loss_bbox: 0.251373 loss_dfl: 0.170699 loss: 1.191105 eta: 21:00:56 batch_cost: 2.3145 data_cost: 0.0012 ips: 24.1952 images/s [10/17 13:54:44] ppdet.engine INFO: Epoch: [238] [260/523] learning_rate: 0.040067 loss_vfl: 0.727417 loss_bbox: 0.266192 loss_dfl: 0.176179 loss: 1.177555 eta: 21:00:09 batch_cost: 2.3925 data_cost: 0.0013 ips: 23.4068 images/s [10/17 13:55:32] ppdet.engine INFO: Epoch: [238] [280/523] learning_rate: 0.040019 loss_vfl: 0.746560 loss_bbox: 0.260026 loss_dfl: 0.182112 loss: 1.186905 eta: 20:59:22 batch_cost: 2.3179 data_cost: 0.0018 ips: 24.1598 images/s [10/17 13:56:22] ppdet.engine INFO: Epoch: [238] [300/523] learning_rate: 0.039971 loss_vfl: 0.747206 loss_bbox: 0.268015 loss_dfl: 0.182438 loss: 1.205371 eta: 20:58:35 batch_cost: 2.3733 data_cost: 0.0013 ips: 23.5957 images/s [10/17 13:57:11] ppdet.engine INFO: Epoch: [238] [320/523] learning_rate: 0.039923 loss_vfl: 0.731804 loss_bbox: 0.266705 loss_dfl: 0.181584 loss: 1.186042 eta: 20:57:48 batch_cost: 2.3651 data_cost: 0.0013 ips: 23.6772 images/s [10/17 13:58:00] ppdet.engine INFO: Epoch: [238] [340/523] learning_rate: 0.039875 loss_vfl: 0.748785 loss_bbox: 0.265537 loss_dfl: 0.183432 loss: 1.207893 eta: 20:57:01 batch_cost: 2.3269 data_cost: 0.0014 ips: 24.0662 images/s [10/17 13:58:51] ppdet.engine INFO: Epoch: [238] [360/523] learning_rate: 0.039827 loss_vfl: 0.758695 loss_bbox: 0.268743 loss_dfl: 0.178697 loss: 1.184309 eta: 20:56:14 batch_cost: 2.4311 data_cost: 0.0015 ips: 23.0353 images/s [10/17 13:59:40] ppdet.engine INFO: Epoch: [238] [380/523] learning_rate: 0.039779 loss_vfl: 0.743111 loss_bbox: 0.278648 loss_dfl: 0.185976 loss: 1.218168 eta: 20:55:27 batch_cost: 2.3713 data_cost: 0.0026 ips: 23.6154 images/s [10/17 14:00:30] ppdet.engine INFO: Epoch: [238] [400/523] learning_rate: 0.039731 loss_vfl: 0.761055 loss_bbox: 0.255608 loss_dfl: 0.178695 loss: 1.199227 eta: 20:54:40 batch_cost: 2.3927 data_cost: 0.0012 ips: 23.4041 images/s [10/17 14:01:21] ppdet.engine INFO: Epoch: [238] [420/523] learning_rate: 0.039683 loss_vfl: 0.746433 loss_bbox: 0.270683 loss_dfl: 0.176489 loss: 1.203310 eta: 20:53:54 batch_cost: 2.4317 data_cost: 0.0013 ips: 23.0290 images/s [10/17 14:02:11] ppdet.engine INFO: Epoch: [238] [440/523] learning_rate: 0.039635 loss_vfl: 0.747621 loss_bbox: 0.267683 loss_dfl: 0.186047 loss: 1.199986 eta: 20:53:07 batch_cost: 2.3766 data_cost: 0.0013 ips: 23.5630 images/s [10/17 14:03:00] ppdet.engine INFO: Epoch: [238] [460/523] learning_rate: 0.039587 loss_vfl: 0.756343 loss_bbox: 0.262347 loss_dfl: 0.170001 loss: 1.185781 eta: 20:52:20 batch_cost: 2.3584 data_cost: 0.0023 ips: 23.7450 images/s [10/17 14:03:49] ppdet.engine INFO: Epoch: [238] [480/523] learning_rate: 0.039539 loss_vfl: 0.754401 loss_bbox: 0.260114 loss_dfl: 0.180376 loss: 1.201798 eta: 20:51:33 batch_cost: 2.3693 data_cost: 0.0019 ips: 23.6355 images/s [10/17 14:04:38] ppdet.engine INFO: Epoch: [238] [500/523] learning_rate: 0.039491 loss_vfl: 0.754671 loss_bbox: 0.262212 loss_dfl: 0.179077 loss: 1.200483 eta: 20:50:46 batch_cost: 2.3368 data_cost: 0.0013 ips: 23.9647 images/s [10/17 14:05:23] ppdet.engine INFO: Epoch: [238] [520/523] learning_rate: 0.039444 loss_vfl: 0.740417 loss_bbox: 0.271387 loss_dfl: 0.183702 loss: 1.210434 eta: 20:49:58 batch_cost: 2.0982 data_cost: 0.0012 ips: 26.6893 images/s [10/17 14:05:52] ppdet.engine INFO: Epoch: [239] [ 0/523] learning_rate: 0.039437 loss_vfl: 0.744401 loss_bbox: 0.271387 loss_dfl: 0.183702 loss: 1.210434 eta: 20:49:55 batch_cost: 3.0220 data_cost: 0.3545 ips: 18.5305 images/s [10/17 14:06:45] ppdet.engine INFO: Epoch: [239] [ 20/523] learning_rate: 0.039389 loss_vfl: 0.739962 loss_bbox: 0.266577 loss_dfl: 0.175016 loss: 1.167172 eta: 20:49:09 batch_cost: 2.5374 data_cost: 0.0013 ips: 22.0697 images/s [10/17 14:07:35] ppdet.engine INFO: Epoch: [239] [ 40/523] learning_rate: 0.039341 loss_vfl: 0.743051 loss_bbox: 0.261329 loss_dfl: 0.184486 loss: 1.192541 eta: 20:48:22 batch_cost: 2.3914 data_cost: 0.0015 ips: 23.4177 images/s [10/17 14:08:26] ppdet.engine INFO: Epoch: [239] [ 60/523] learning_rate: 0.039293 loss_vfl: 0.758477 loss_bbox: 0.262033 loss_dfl: 0.183012 loss: 1.205056 eta: 20:47:36 batch_cost: 2.4283 data_cost: 0.0021 ips: 23.0612 images/s [10/17 14:09:16] ppdet.engine INFO: Epoch: [239] [ 80/523] learning_rate: 0.039246 loss_vfl: 0.746523 loss_bbox: 0.275773 loss_dfl: 0.186628 loss: 1.231878 eta: 20:46:49 batch_cost: 2.3909 data_cost: 0.0015 ips: 23.4220 images/s [10/17 14:10:05] ppdet.engine INFO: Epoch: [239] [100/523] learning_rate: 0.039198 loss_vfl: 0.735460 loss_bbox: 0.259440 loss_dfl: 0.182364 loss: 1.169600 eta: 20:46:02 batch_cost: 2.3238 data_cost: 0.0029 ips: 24.0983 images/s [10/17 14:10:55] ppdet.engine INFO: Epoch: [239] [120/523] learning_rate: 0.039150 loss_vfl: 0.746855 loss_bbox: 0.271028 loss_dfl: 0.187153 loss: 1.195078 eta: 20:45:15 batch_cost: 2.4088 data_cost: 0.0014 ips: 23.2485 images/s [10/17 14:11:45] ppdet.engine INFO: Epoch: [239] [140/523] learning_rate: 0.039103 loss_vfl: 0.750554 loss_bbox: 0.262869 loss_dfl: 0.180529 loss: 1.211473 eta: 20:44:28 batch_cost: 2.3627 data_cost: 0.0027 ips: 23.7013 images/s [10/17 14:12:33] ppdet.engine INFO: Epoch: [239] [160/523] learning_rate: 0.039055 loss_vfl: 0.748124 loss_bbox: 0.287504 loss_dfl: 0.186372 loss: 1.226743 eta: 20:43:41 batch_cost: 2.3171 data_cost: 0.0013 ips: 24.1686 images/s [10/17 14:13:22] ppdet.engine INFO: Epoch: [239] [180/523] learning_rate: 0.039008 loss_vfl: 0.747597 loss_bbox: 0.252019 loss_dfl: 0.173594 loss: 1.165420 eta: 20:42:54 batch_cost: 2.3655 data_cost: 0.0014 ips: 23.6736 images/s [10/17 14:14:11] ppdet.engine INFO: Epoch: [239] [200/523] learning_rate: 0.038960 loss_vfl: 0.753129 loss_bbox: 0.264236 loss_dfl: 0.183290 loss: 1.181439 eta: 20:42:07 batch_cost: 2.3349 data_cost: 0.0013 ips: 23.9834 images/s [10/17 14:15:01] ppdet.engine INFO: Epoch: [239] [220/523] learning_rate: 0.038913 loss_vfl: 0.755367 loss_bbox: 0.255239 loss_dfl: 0.178009 loss: 1.197075 eta: 20:41:20 batch_cost: 2.3751 data_cost: 0.0013 ips: 23.5775 images/s [10/17 14:15:50] ppdet.engine INFO: Epoch: [239] [240/523] learning_rate: 0.038865 loss_vfl: 0.720978 loss_bbox: 0.257995 loss_dfl: 0.178749 loss: 1.165209 eta: 20:40:33 batch_cost: 2.3683 data_cost: 0.0013 ips: 23.6460 images/s [10/17 14:16:40] ppdet.engine INFO: Epoch: [239] [260/523] learning_rate: 0.038818 loss_vfl: 0.748179 loss_bbox: 0.247514 loss_dfl: 0.175577 loss: 1.190927 eta: 20:39:46 batch_cost: 2.3568 data_cost: 0.0014 ips: 23.7614 images/s [10/17 14:17:30] ppdet.engine INFO: Epoch: [239] [280/523] learning_rate: 0.038770 loss_vfl: 0.750193 loss_bbox: 0.275405 loss_dfl: 0.173978 loss: 1.185879 eta: 20:38:59 batch_cost: 2.3945 data_cost: 0.0014 ips: 23.3867 images/s [10/17 14:18:20] ppdet.engine INFO: Epoch: [239] [300/523] learning_rate: 0.038723 loss_vfl: 0.746006 loss_bbox: 0.253634 loss_dfl: 0.181504 loss: 1.179726 eta: 20:38:13 batch_cost: 2.4346 data_cost: 0.0013 ips: 23.0020 images/s [10/17 14:19:08] ppdet.engine INFO: Epoch: [239] [320/523] learning_rate: 0.038676 loss_vfl: 0.753802 loss_bbox: 0.264917 loss_dfl: 0.176366 loss: 1.192692 eta: 20:37:25 batch_cost: 2.2743 data_cost: 0.0012 ips: 24.6229 images/s [10/17 14:19:57] ppdet.engine INFO: Epoch: [239] [340/523] learning_rate: 0.038628 loss_vfl: 0.755829 loss_bbox: 0.255222 loss_dfl: 0.178312 loss: 1.193951 eta: 20:36:38 batch_cost: 2.3401 data_cost: 0.0012 ips: 23.9311 images/s [10/17 14:20:46] ppdet.engine INFO: Epoch: [239] [360/523] learning_rate: 0.038581 loss_vfl: 0.765052 loss_bbox: 0.268798 loss_dfl: 0.183621 loss: 1.230111 eta: 20:35:51 batch_cost: 2.3476 data_cost: 0.0013 ips: 23.8540 images/s [10/17 14:21:36] ppdet.engine INFO: Epoch: [239] [380/523] learning_rate: 0.038534 loss_vfl: 0.739469 loss_bbox: 0.254100 loss_dfl: 0.176412 loss: 1.180634 eta: 20:35:04 batch_cost: 2.3842 data_cost: 0.0060 ips: 23.4881 images/s [10/17 14:22:26] ppdet.engine INFO: Epoch: [239] [400/523] learning_rate: 0.038487 loss_vfl: 0.751412 loss_bbox: 0.251014 loss_dfl: 0.178454 loss: 1.202527 eta: 20:34:18 batch_cost: 2.4195 data_cost: 0.0013 ips: 23.1453 images/s [10/17 14:23:16] ppdet.engine INFO: Epoch: [239] [420/523] learning_rate: 0.038439 loss_vfl: 0.747272 loss_bbox: 0.271792 loss_dfl: 0.182062 loss: 1.215939 eta: 20:33:31 batch_cost: 2.3565 data_cost: 0.0013 ips: 23.7644 images/s [10/17 14:24:05] ppdet.engine INFO: Epoch: [239] [440/523] learning_rate: 0.038392 loss_vfl: 0.745191 loss_bbox: 0.264285 loss_dfl: 0.182209 loss: 1.212365 eta: 20:32:44 batch_cost: 2.3834 data_cost: 0.0012 ips: 23.4957 images/s [10/17 14:24:55] ppdet.engine INFO: Epoch: [239] [460/523] learning_rate: 0.038345 loss_vfl: 0.744720 loss_bbox: 0.272909 loss_dfl: 0.180769 loss: 1.187044 eta: 20:31:57 batch_cost: 2.3914 data_cost: 0.0021 ips: 23.4177 images/s [10/17 14:25:46] ppdet.engine INFO: Epoch: [239] [480/523] learning_rate: 0.038298 loss_vfl: 0.739203 loss_bbox: 0.263497 loss_dfl: 0.178431 loss: 1.186433 eta: 20:31:11 batch_cost: 2.4421 data_cost: 0.0013 ips: 22.9309 images/s [10/17 14:26:35] ppdet.engine INFO: Epoch: [239] [500/523] learning_rate: 0.038251 loss_vfl: 0.749689 loss_bbox: 0.272143 loss_dfl: 0.182801 loss: 1.207933 eta: 20:30:23 batch_cost: 2.3175 data_cost: 0.0013 ips: 24.1642 images/s [10/17 14:27:19] ppdet.engine INFO: Epoch: [239] [520/523] learning_rate: 0.038204 loss_vfl: 0.759928 loss_bbox: 0.269854 loss_dfl: 0.186073 loss: 1.222518 eta: 20:29:35 batch_cost: 2.1004 data_cost: 0.0019 ips: 26.6612 images/s [10/17 14:27:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 14:27:30] ppdet.engine INFO: Eval iter: 0 [10/17 14:28:09] ppdet.engine INFO: Eval iter: 100 [10/17 14:28:30] ppdet.engine INFO: Eval iter: 200 [10/17 14:28:51] ppdet.engine INFO: Eval iter: 300 [10/17 14:29:10] ppdet.engine INFO: Eval iter: 400 [10/17 14:29:29] ppdet.engine INFO: Eval iter: 500 [10/17 14:29:49] ppdet.engine INFO: Eval iter: 600 [10/17 14:30:10] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.70s) creating index... index created! [10/17 14:30:11] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=6.37s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.60s). Accumulating evaluation results... DONE (t=20.04s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.362 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.523 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.383 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.148 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.390 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.307 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.485 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.518 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.751 [10/17 14:32:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.07276500064254 [10/17 14:32:19] ppdet.engine INFO: Best test bbox ap is 0.363. [10/17 14:32:21] ppdet.engine INFO: Epoch: [240] [ 0/523] learning_rate: 0.038197 loss_vfl: 0.756414 loss_bbox: 0.274758 loss_dfl: 0.185160 loss: 1.222518 eta: 20:29:28 batch_cost: 2.0485 data_cost: 0.0013 ips: 27.3370 images/s [10/17 14:33:11] ppdet.engine INFO: Epoch: [240] [ 20/523] learning_rate: 0.038150 loss_vfl: 0.733740 loss_bbox: 0.272364 loss_dfl: 0.183462 loss: 1.204480 eta: 20:28:41 batch_cost: 2.3454 data_cost: 0.0013 ips: 23.8764 images/s [10/17 14:34:01] ppdet.engine INFO: Epoch: [240] [ 40/523] learning_rate: 0.038102 loss_vfl: 0.744058 loss_bbox: 0.270008 loss_dfl: 0.180508 loss: 1.176808 eta: 20:27:54 batch_cost: 2.4061 data_cost: 0.0016 ips: 23.2745 images/s [10/17 14:34:51] ppdet.engine INFO: Epoch: [240] [ 60/523] learning_rate: 0.038055 loss_vfl: 0.741214 loss_bbox: 0.276814 loss_dfl: 0.187522 loss: 1.199541 eta: 20:27:07 batch_cost: 2.3974 data_cost: 0.0012 ips: 23.3591 images/s [10/17 14:35:41] ppdet.engine INFO: Epoch: [240] [ 80/523] learning_rate: 0.038009 loss_vfl: 0.739410 loss_bbox: 0.259553 loss_dfl: 0.178605 loss: 1.165875 eta: 20:26:20 batch_cost: 2.4242 data_cost: 0.0020 ips: 23.1001 images/s [10/17 14:36:32] ppdet.engine INFO: Epoch: [240] [100/523] learning_rate: 0.037962 loss_vfl: 0.738534 loss_bbox: 0.285063 loss_dfl: 0.192358 loss: 1.213733 eta: 20:25:34 batch_cost: 2.3867 data_cost: 0.0012 ips: 23.4631 images/s [10/17 14:37:21] ppdet.engine INFO: Epoch: [240] [120/523] learning_rate: 0.037915 loss_vfl: 0.752267 loss_bbox: 0.259892 loss_dfl: 0.178372 loss: 1.202634 eta: 20:24:47 batch_cost: 2.3766 data_cost: 0.0012 ips: 23.5632 images/s [10/17 14:38:11] ppdet.engine INFO: Epoch: [240] [140/523] learning_rate: 0.037868 loss_vfl: 0.756441 loss_bbox: 0.258565 loss_dfl: 0.184336 loss: 1.186763 eta: 20:24:00 batch_cost: 2.3860 data_cost: 0.0012 ips: 23.4707 images/s [10/17 14:39:01] ppdet.engine INFO: Epoch: [240] [160/523] learning_rate: 0.037821 loss_vfl: 0.736494 loss_bbox: 0.252400 loss_dfl: 0.175910 loss: 1.181310 eta: 20:23:13 batch_cost: 2.3840 data_cost: 0.0012 ips: 23.4900 images/s [10/17 14:39:50] ppdet.engine INFO: Epoch: [240] [180/523] learning_rate: 0.037774 loss_vfl: 0.744828 loss_bbox: 0.286892 loss_dfl: 0.189191 loss: 1.216741 eta: 20:22:26 batch_cost: 2.3511 data_cost: 0.0022 ips: 23.8183 images/s [10/17 14:40:41] ppdet.engine INFO: Epoch: [240] [200/523] learning_rate: 0.037727 loss_vfl: 0.738996 loss_bbox: 0.269550 loss_dfl: 0.181335 loss: 1.185517 eta: 20:21:39 batch_cost: 2.4275 data_cost: 0.0013 ips: 23.0693 images/s [10/17 14:41:30] ppdet.engine INFO: Epoch: [240] [220/523] learning_rate: 0.037680 loss_vfl: 0.751201 loss_bbox: 0.277736 loss_dfl: 0.185196 loss: 1.195807 eta: 20:20:52 batch_cost: 2.3413 data_cost: 0.0013 ips: 23.9181 images/s [10/17 14:42:19] ppdet.engine INFO: Epoch: [240] [240/523] learning_rate: 0.037634 loss_vfl: 0.750075 loss_bbox: 0.267680 loss_dfl: 0.187580 loss: 1.198404 eta: 20:20:05 batch_cost: 2.3729 data_cost: 0.0012 ips: 23.6003 images/s [10/17 14:43:09] ppdet.engine INFO: Epoch: [240] [260/523] learning_rate: 0.037587 loss_vfl: 0.744245 loss_bbox: 0.274685 loss_dfl: 0.185155 loss: 1.222291 eta: 20:19:18 batch_cost: 2.3548 data_cost: 0.0013 ips: 23.7808 images/s [10/17 14:43:59] ppdet.engine INFO: Epoch: [240] [280/523] learning_rate: 0.037540 loss_vfl: 0.753593 loss_bbox: 0.269492 loss_dfl: 0.181713 loss: 1.212848 eta: 20:18:32 batch_cost: 2.4231 data_cost: 0.0012 ips: 23.1109 images/s [10/17 14:44:48] ppdet.engine INFO: Epoch: [240] [300/523] learning_rate: 0.037493 loss_vfl: 0.743773 loss_bbox: 0.268626 loss_dfl: 0.186698 loss: 1.199175 eta: 20:17:45 batch_cost: 2.3283 data_cost: 0.0013 ips: 24.0523 images/s [10/17 14:45:38] ppdet.engine INFO: Epoch: [240] [320/523] learning_rate: 0.037447 loss_vfl: 0.757720 loss_bbox: 0.274211 loss_dfl: 0.187592 loss: 1.204818 eta: 20:16:58 batch_cost: 2.3768 data_cost: 0.0019 ips: 23.5609 images/s [10/17 14:46:28] ppdet.engine INFO: Epoch: [240] [340/523] learning_rate: 0.037400 loss_vfl: 0.745296 loss_bbox: 0.234399 loss_dfl: 0.167665 loss: 1.163311 eta: 20:16:11 batch_cost: 2.3788 data_cost: 0.0019 ips: 23.5414 images/s [10/17 14:47:18] ppdet.engine INFO: Epoch: [240] [360/523] learning_rate: 0.037353 loss_vfl: 0.738076 loss_bbox: 0.270726 loss_dfl: 0.185012 loss: 1.205850 eta: 20:15:24 batch_cost: 2.3898 data_cost: 0.0026 ips: 23.4334 images/s [10/17 14:48:08] ppdet.engine INFO: Epoch: [240] [380/523] learning_rate: 0.037307 loss_vfl: 0.746980 loss_bbox: 0.273535 loss_dfl: 0.178694 loss: 1.190927 eta: 20:14:37 batch_cost: 2.3871 data_cost: 0.0013 ips: 23.4597 images/s [10/17 14:48:58] ppdet.engine INFO: Epoch: [240] [400/523] learning_rate: 0.037260 loss_vfl: 0.750095 loss_bbox: 0.255620 loss_dfl: 0.175139 loss: 1.186095 eta: 20:13:50 batch_cost: 2.3970 data_cost: 0.0035 ips: 23.3621 images/s [10/17 14:49:46] ppdet.engine INFO: Epoch: [240] [420/523] learning_rate: 0.037214 loss_vfl: 0.743514 loss_bbox: 0.251503 loss_dfl: 0.178544 loss: 1.183106 eta: 20:13:03 batch_cost: 2.3054 data_cost: 0.0019 ips: 24.2903 images/s [10/17 14:50:36] ppdet.engine INFO: Epoch: [240] [440/523] learning_rate: 0.037167 loss_vfl: 0.748510 loss_bbox: 0.259432 loss_dfl: 0.176386 loss: 1.173510 eta: 20:12:16 batch_cost: 2.3854 data_cost: 0.0013 ips: 23.4762 images/s [10/17 14:51:24] ppdet.engine INFO: Epoch: [240] [460/523] learning_rate: 0.037121 loss_vfl: 0.756969 loss_bbox: 0.251021 loss_dfl: 0.173870 loss: 1.180283 eta: 20:11:29 batch_cost: 2.3089 data_cost: 0.0014 ips: 24.2543 images/s [10/17 14:52:13] ppdet.engine INFO: Epoch: [240] [480/523] learning_rate: 0.037074 loss_vfl: 0.744642 loss_bbox: 0.272125 loss_dfl: 0.184838 loss: 1.197528 eta: 20:10:42 batch_cost: 2.3317 data_cost: 0.0012 ips: 24.0171 images/s [10/17 14:53:02] ppdet.engine INFO: Epoch: [240] [500/523] learning_rate: 0.037028 loss_vfl: 0.738317 loss_bbox: 0.273316 loss_dfl: 0.184580 loss: 1.199062 eta: 20:09:55 batch_cost: 2.3139 data_cost: 0.0019 ips: 24.2016 images/s [10/17 14:53:45] ppdet.engine INFO: Epoch: [240] [520/523] learning_rate: 0.036981 loss_vfl: 0.743854 loss_bbox: 0.245054 loss_dfl: 0.172619 loss: 1.153413 eta: 20:09:06 batch_cost: 2.0451 data_cost: 0.0013 ips: 27.3826 images/s [10/17 14:54:17] ppdet.engine INFO: Epoch: [241] [ 0/523] learning_rate: 0.036974 loss_vfl: 0.743854 loss_bbox: 0.246424 loss_dfl: 0.175348 loss: 1.159323 eta: 20:09:04 batch_cost: 3.0958 data_cost: 0.8698 ips: 18.0890 images/s [10/17 14:55:09] ppdet.engine INFO: Epoch: [241] [ 20/523] learning_rate: 0.036928 loss_vfl: 0.740730 loss_bbox: 0.243180 loss_dfl: 0.176396 loss: 1.167089 eta: 20:08:18 batch_cost: 2.4531 data_cost: 0.0014 ips: 22.8281 images/s [10/17 14:55:59] ppdet.engine INFO: Epoch: [241] [ 40/523] learning_rate: 0.036882 loss_vfl: 0.750393 loss_bbox: 0.260684 loss_dfl: 0.184990 loss: 1.212529 eta: 20:07:31 batch_cost: 2.4059 data_cost: 0.0012 ips: 23.2760 images/s [10/17 14:56:51] ppdet.engine INFO: Epoch: [241] [ 60/523] learning_rate: 0.036835 loss_vfl: 0.744506 loss_bbox: 0.256682 loss_dfl: 0.181824 loss: 1.179530 eta: 20:06:45 batch_cost: 2.4768 data_cost: 0.0013 ips: 22.6096 images/s [10/17 14:57:42] ppdet.engine INFO: Epoch: [241] [ 80/523] learning_rate: 0.036789 loss_vfl: 0.749090 loss_bbox: 0.269708 loss_dfl: 0.182911 loss: 1.193633 eta: 20:05:58 batch_cost: 2.4375 data_cost: 0.0014 ips: 22.9746 images/s [10/17 14:58:31] ppdet.engine INFO: Epoch: [241] [100/523] learning_rate: 0.036743 loss_vfl: 0.727730 loss_bbox: 0.270908 loss_dfl: 0.181910 loss: 1.175199 eta: 20:05:11 batch_cost: 2.3617 data_cost: 0.0012 ips: 23.7119 images/s [10/17 14:59:22] ppdet.engine INFO: Epoch: [241] [120/523] learning_rate: 0.036697 loss_vfl: 0.744266 loss_bbox: 0.269221 loss_dfl: 0.185854 loss: 1.208042 eta: 20:04:24 batch_cost: 2.4288 data_cost: 0.0019 ips: 23.0568 images/s [10/17 15:00:11] ppdet.engine INFO: Epoch: [241] [140/523] learning_rate: 0.036650 loss_vfl: 0.758877 loss_bbox: 0.259779 loss_dfl: 0.181485 loss: 1.187941 eta: 20:03:37 batch_cost: 2.3644 data_cost: 0.0013 ips: 23.6843 images/s [10/17 15:01:00] ppdet.engine INFO: Epoch: [241] [160/523] learning_rate: 0.036604 loss_vfl: 0.723523 loss_bbox: 0.263433 loss_dfl: 0.187404 loss: 1.192590 eta: 20:02:50 batch_cost: 2.3178 data_cost: 0.0014 ips: 24.1609 images/s [10/17 15:01:49] ppdet.engine INFO: Epoch: [241] [180/523] learning_rate: 0.036558 loss_vfl: 0.746205 loss_bbox: 0.257817 loss_dfl: 0.175933 loss: 1.173934 eta: 20:02:03 batch_cost: 2.3408 data_cost: 0.0027 ips: 23.9231 images/s [10/17 15:02:38] ppdet.engine INFO: Epoch: [241] [200/523] learning_rate: 0.036512 loss_vfl: 0.757651 loss_bbox: 0.267362 loss_dfl: 0.183321 loss: 1.204861 eta: 20:01:16 batch_cost: 2.3638 data_cost: 0.0049 ips: 23.6910 images/s [10/17 15:03:30] ppdet.engine INFO: Epoch: [241] [220/523] learning_rate: 0.036466 loss_vfl: 0.750200 loss_bbox: 0.264970 loss_dfl: 0.179153 loss: 1.190568 eta: 20:00:30 batch_cost: 2.4625 data_cost: 0.0033 ips: 22.7409 images/s [10/17 15:04:19] ppdet.engine INFO: Epoch: [241] [240/523] learning_rate: 0.036420 loss_vfl: 0.754580 loss_bbox: 0.268845 loss_dfl: 0.175061 loss: 1.192331 eta: 19:59:43 batch_cost: 2.3406 data_cost: 0.0019 ips: 23.9255 images/s [10/17 15:05:08] ppdet.engine INFO: Epoch: [241] [260/523] learning_rate: 0.036374 loss_vfl: 0.747867 loss_bbox: 0.268951 loss_dfl: 0.181644 loss: 1.188426 eta: 19:58:56 batch_cost: 2.3532 data_cost: 0.0027 ips: 23.7972 images/s [10/17 15:05:57] ppdet.engine INFO: Epoch: [241] [280/523] learning_rate: 0.036327 loss_vfl: 0.738504 loss_bbox: 0.275817 loss_dfl: 0.183430 loss: 1.180853 eta: 19:58:09 batch_cost: 2.3444 data_cost: 0.0013 ips: 23.8871 images/s [10/17 15:06:47] ppdet.engine INFO: Epoch: [241] [300/523] learning_rate: 0.036281 loss_vfl: 0.756086 loss_bbox: 0.294092 loss_dfl: 0.194211 loss: 1.228943 eta: 19:57:22 batch_cost: 2.3784 data_cost: 0.0016 ips: 23.5448 images/s [10/17 15:07:36] ppdet.engine INFO: Epoch: [241] [320/523] learning_rate: 0.036235 loss_vfl: 0.745181 loss_bbox: 0.273354 loss_dfl: 0.181020 loss: 1.197881 eta: 19:56:35 batch_cost: 2.3440 data_cost: 0.0028 ips: 23.8907 images/s [10/17 15:08:24] ppdet.engine INFO: Epoch: [241] [340/523] learning_rate: 0.036190 loss_vfl: 0.735523 loss_bbox: 0.253459 loss_dfl: 0.174290 loss: 1.174896 eta: 19:55:48 batch_cost: 2.3281 data_cost: 0.0013 ips: 24.0544 images/s [10/17 15:09:13] ppdet.engine INFO: Epoch: [241] [360/523] learning_rate: 0.036144 loss_vfl: 0.744597 loss_bbox: 0.265909 loss_dfl: 0.182960 loss: 1.186238 eta: 19:55:00 batch_cost: 2.3101 data_cost: 0.0018 ips: 24.2417 images/s [10/17 15:10:01] ppdet.engine INFO: Epoch: [241] [380/523] learning_rate: 0.036098 loss_vfl: 0.750328 loss_bbox: 0.268384 loss_dfl: 0.182371 loss: 1.203166 eta: 19:54:13 batch_cost: 2.3145 data_cost: 0.0024 ips: 24.1958 images/s [10/17 15:10:51] ppdet.engine INFO: Epoch: [241] [400/523] learning_rate: 0.036052 loss_vfl: 0.749436 loss_bbox: 0.262081 loss_dfl: 0.178953 loss: 1.183648 eta: 19:53:26 batch_cost: 2.3597 data_cost: 0.0013 ips: 23.7314 images/s [10/17 15:11:39] ppdet.engine INFO: Epoch: [241] [420/523] learning_rate: 0.036006 loss_vfl: 0.743609 loss_bbox: 0.281559 loss_dfl: 0.184926 loss: 1.212790 eta: 19:52:39 batch_cost: 2.3150 data_cost: 0.0014 ips: 24.1899 images/s [10/17 15:12:28] ppdet.engine INFO: Epoch: [241] [440/523] learning_rate: 0.035960 loss_vfl: 0.748618 loss_bbox: 0.278366 loss_dfl: 0.184507 loss: 1.209250 eta: 19:51:52 batch_cost: 2.3193 data_cost: 0.0019 ips: 24.1448 images/s [10/17 15:13:16] ppdet.engine INFO: Epoch: [241] [460/523] learning_rate: 0.035914 loss_vfl: 0.734402 loss_bbox: 0.289169 loss_dfl: 0.189267 loss: 1.216043 eta: 19:51:04 batch_cost: 2.2866 data_cost: 0.0013 ips: 24.4900 images/s [10/17 15:14:05] ppdet.engine INFO: Epoch: [241] [480/523] learning_rate: 0.035868 loss_vfl: 0.737741 loss_bbox: 0.279489 loss_dfl: 0.184031 loss: 1.210760 eta: 19:50:17 batch_cost: 2.3536 data_cost: 0.0013 ips: 23.7934 images/s [10/17 15:14:52] ppdet.engine INFO: Epoch: [241] [500/523] learning_rate: 0.035823 loss_vfl: 0.744085 loss_bbox: 0.270299 loss_dfl: 0.181580 loss: 1.183032 eta: 19:49:30 batch_cost: 2.2620 data_cost: 0.0012 ips: 24.7564 images/s [10/17 15:15:35] ppdet.engine INFO: Epoch: [241] [520/523] learning_rate: 0.035777 loss_vfl: 0.739851 loss_bbox: 0.249348 loss_dfl: 0.177429 loss: 1.179464 eta: 19:48:42 batch_cost: 2.0546 data_cost: 0.0013 ips: 27.2561 images/s [10/17 15:16:07] ppdet.engine INFO: Epoch: [242] [ 0/523] learning_rate: 0.035770 loss_vfl: 0.739851 loss_bbox: 0.251958 loss_dfl: 0.179640 loss: 1.185583 eta: 19:48:40 batch_cost: 3.1098 data_cost: 0.7094 ips: 18.0074 images/s [10/17 15:16:57] ppdet.engine INFO: Epoch: [242] [ 20/523] learning_rate: 0.035724 loss_vfl: 0.739680 loss_bbox: 0.245244 loss_dfl: 0.175541 loss: 1.155848 eta: 19:47:53 batch_cost: 2.3604 data_cost: 0.0015 ips: 23.7243 images/s [10/17 15:17:48] ppdet.engine INFO: Epoch: [242] [ 40/523] learning_rate: 0.035679 loss_vfl: 0.743052 loss_bbox: 0.261336 loss_dfl: 0.186380 loss: 1.190501 eta: 19:47:06 batch_cost: 2.4306 data_cost: 0.0015 ips: 23.0393 images/s [10/17 15:18:38] ppdet.engine INFO: Epoch: [242] [ 60/523] learning_rate: 0.035633 loss_vfl: 0.737765 loss_bbox: 0.275143 loss_dfl: 0.185772 loss: 1.190193 eta: 19:46:19 batch_cost: 2.3845 data_cost: 0.0022 ips: 23.4850 images/s [10/17 15:19:27] ppdet.engine INFO: Epoch: [242] [ 80/523] learning_rate: 0.035588 loss_vfl: 0.745202 loss_bbox: 0.262640 loss_dfl: 0.184411 loss: 1.200568 eta: 19:45:32 batch_cost: 2.3566 data_cost: 0.0012 ips: 23.7631 images/s [10/17 15:20:16] ppdet.engine INFO: Epoch: [242] [100/523] learning_rate: 0.035542 loss_vfl: 0.743043 loss_bbox: 0.257466 loss_dfl: 0.180131 loss: 1.200806 eta: 19:44:45 batch_cost: 2.3533 data_cost: 0.0012 ips: 23.7965 images/s [10/17 15:21:06] ppdet.engine INFO: Epoch: [242] [120/523] learning_rate: 0.035496 loss_vfl: 0.728959 loss_bbox: 0.277621 loss_dfl: 0.183056 loss: 1.199386 eta: 19:43:58 batch_cost: 2.3752 data_cost: 0.0022 ips: 23.5769 images/s [10/17 15:21:56] ppdet.engine INFO: Epoch: [242] [140/523] learning_rate: 0.035451 loss_vfl: 0.737936 loss_bbox: 0.252823 loss_dfl: 0.177387 loss: 1.187217 eta: 19:43:11 batch_cost: 2.3960 data_cost: 0.0016 ips: 23.3727 images/s [10/17 15:22:44] ppdet.engine INFO: Epoch: [242] [160/523] learning_rate: 0.035405 loss_vfl: 0.736335 loss_bbox: 0.276853 loss_dfl: 0.187374 loss: 1.206346 eta: 19:42:24 batch_cost: 2.3015 data_cost: 0.0022 ips: 24.3320 images/s [10/17 15:23:33] ppdet.engine INFO: Epoch: [242] [180/523] learning_rate: 0.035360 loss_vfl: 0.738077 loss_bbox: 0.277264 loss_dfl: 0.183640 loss: 1.202969 eta: 19:41:37 batch_cost: 2.3273 data_cost: 0.0013 ips: 24.0626 images/s [10/17 15:24:23] ppdet.engine INFO: Epoch: [242] [200/523] learning_rate: 0.035314 loss_vfl: 0.743369 loss_bbox: 0.264303 loss_dfl: 0.185807 loss: 1.197353 eta: 19:40:50 batch_cost: 2.3469 data_cost: 0.0019 ips: 23.8608 images/s [10/17 15:25:12] ppdet.engine INFO: Epoch: [242] [220/523] learning_rate: 0.035269 loss_vfl: 0.743287 loss_bbox: 0.268951 loss_dfl: 0.189758 loss: 1.203554 eta: 19:40:03 batch_cost: 2.3699 data_cost: 0.0019 ips: 23.6300 images/s [10/17 15:26:02] ppdet.engine INFO: Epoch: [242] [240/523] learning_rate: 0.035224 loss_vfl: 0.749330 loss_bbox: 0.243391 loss_dfl: 0.172339 loss: 1.168065 eta: 19:39:16 batch_cost: 2.3627 data_cost: 0.0013 ips: 23.7022 images/s [10/17 15:26:50] ppdet.engine INFO: Epoch: [242] [260/523] learning_rate: 0.035178 loss_vfl: 0.737309 loss_bbox: 0.240411 loss_dfl: 0.178103 loss: 1.160764 eta: 19:38:29 batch_cost: 2.2806 data_cost: 0.0012 ips: 24.5552 images/s [10/17 15:27:38] ppdet.engine INFO: Epoch: [242] [280/523] learning_rate: 0.035133 loss_vfl: 0.739746 loss_bbox: 0.278519 loss_dfl: 0.188371 loss: 1.205955 eta: 19:37:41 batch_cost: 2.3175 data_cost: 0.0018 ips: 24.1644 images/s [10/17 15:28:27] ppdet.engine INFO: Epoch: [242] [300/523] learning_rate: 0.035087 loss_vfl: 0.739673 loss_bbox: 0.260529 loss_dfl: 0.182572 loss: 1.195670 eta: 19:36:54 batch_cost: 2.3422 data_cost: 0.0014 ips: 23.9091 images/s [10/17 15:29:16] ppdet.engine INFO: Epoch: [242] [320/523] learning_rate: 0.035042 loss_vfl: 0.751554 loss_bbox: 0.256904 loss_dfl: 0.178440 loss: 1.189407 eta: 19:36:07 batch_cost: 2.3440 data_cost: 0.0031 ips: 23.8904 images/s [10/17 15:30:06] ppdet.engine INFO: Epoch: [242] [340/523] learning_rate: 0.034997 loss_vfl: 0.757075 loss_bbox: 0.269228 loss_dfl: 0.179343 loss: 1.189808 eta: 19:35:20 batch_cost: 2.3473 data_cost: 0.0047 ips: 23.8577 images/s [10/17 15:30:54] ppdet.engine INFO: Epoch: [242] [360/523] learning_rate: 0.034952 loss_vfl: 0.740040 loss_bbox: 0.272660 loss_dfl: 0.182152 loss: 1.193365 eta: 19:34:33 batch_cost: 2.3138 data_cost: 0.0012 ips: 24.2025 images/s [10/17 15:31:44] ppdet.engine INFO: Epoch: [242] [380/523] learning_rate: 0.034906 loss_vfl: 0.764661 loss_bbox: 0.277407 loss_dfl: 0.185211 loss: 1.229856 eta: 19:33:46 batch_cost: 2.4022 data_cost: 0.0020 ips: 23.3117 images/s [10/17 15:32:34] ppdet.engine INFO: Epoch: [242] [400/523] learning_rate: 0.034861 loss_vfl: 0.753327 loss_bbox: 0.269205 loss_dfl: 0.192413 loss: 1.213932 eta: 19:32:59 batch_cost: 2.3836 data_cost: 0.0027 ips: 23.4943 images/s [10/17 15:33:22] ppdet.engine INFO: Epoch: [242] [420/523] learning_rate: 0.034816 loss_vfl: 0.744810 loss_bbox: 0.260305 loss_dfl: 0.181377 loss: 1.202299 eta: 19:32:12 batch_cost: 2.3107 data_cost: 0.0012 ips: 24.2349 images/s [10/17 15:34:11] ppdet.engine INFO: Epoch: [242] [440/523] learning_rate: 0.034771 loss_vfl: 0.745298 loss_bbox: 0.271245 loss_dfl: 0.188578 loss: 1.198394 eta: 19:31:25 batch_cost: 2.3183 data_cost: 0.0014 ips: 24.1556 images/s [10/17 15:35:00] ppdet.engine INFO: Epoch: [242] [460/523] learning_rate: 0.034726 loss_vfl: 0.739678 loss_bbox: 0.271827 loss_dfl: 0.179128 loss: 1.186918 eta: 19:30:38 batch_cost: 2.3623 data_cost: 0.0014 ips: 23.7059 images/s [10/17 15:35:49] ppdet.engine INFO: Epoch: [242] [480/523] learning_rate: 0.034681 loss_vfl: 0.750558 loss_bbox: 0.259684 loss_dfl: 0.175948 loss: 1.163740 eta: 19:29:51 batch_cost: 2.3597 data_cost: 0.0015 ips: 23.7316 images/s [10/17 15:36:38] ppdet.engine INFO: Epoch: [242] [500/523] learning_rate: 0.034636 loss_vfl: 0.767195 loss_bbox: 0.272179 loss_dfl: 0.185940 loss: 1.219131 eta: 19:29:04 batch_cost: 2.3470 data_cost: 0.0018 ips: 23.8607 images/s [10/17 15:37:22] ppdet.engine INFO: Epoch: [242] [520/523] learning_rate: 0.034591 loss_vfl: 0.739223 loss_bbox: 0.262002 loss_dfl: 0.181401 loss: 1.182988 eta: 19:28:16 batch_cost: 2.0801 data_cost: 0.0013 ips: 26.9218 images/s [10/17 15:37:57] ppdet.engine INFO: Epoch: [243] [ 0/523] learning_rate: 0.034584 loss_vfl: 0.737504 loss_bbox: 0.263788 loss_dfl: 0.180988 loss: 1.178154 eta: 19:28:14 batch_cost: 3.2747 data_cost: 0.5941 ips: 17.1006 images/s [10/17 15:38:53] ppdet.engine INFO: Epoch: [243] [ 20/523] learning_rate: 0.034539 loss_vfl: 0.731839 loss_bbox: 0.260671 loss_dfl: 0.176824 loss: 1.174649 eta: 19:27:29 batch_cost: 2.7238 data_cost: 0.0033 ips: 20.5594 images/s [10/17 15:39:44] ppdet.engine INFO: Epoch: [243] [ 40/523] learning_rate: 0.034494 loss_vfl: 0.745730 loss_bbox: 0.272445 loss_dfl: 0.182759 loss: 1.187615 eta: 19:26:42 batch_cost: 2.4199 data_cost: 0.0012 ips: 23.1413 images/s [10/17 15:40:34] ppdet.engine INFO: Epoch: [243] [ 60/523] learning_rate: 0.034449 loss_vfl: 0.743041 loss_bbox: 0.259198 loss_dfl: 0.179702 loss: 1.172492 eta: 19:25:55 batch_cost: 2.3761 data_cost: 0.0012 ips: 23.5679 images/s [10/17 15:41:22] ppdet.engine INFO: Epoch: [243] [ 80/523] learning_rate: 0.034404 loss_vfl: 0.734833 loss_bbox: 0.257556 loss_dfl: 0.176655 loss: 1.159414 eta: 19:25:08 batch_cost: 2.2994 data_cost: 0.0013 ips: 24.3541 images/s [10/17 15:42:12] ppdet.engine INFO: Epoch: [243] [100/523] learning_rate: 0.034359 loss_vfl: 0.744673 loss_bbox: 0.243360 loss_dfl: 0.178223 loss: 1.163102 eta: 19:24:21 batch_cost: 2.4105 data_cost: 0.0012 ips: 23.2312 images/s [10/17 15:43:02] ppdet.engine INFO: Epoch: [243] [120/523] learning_rate: 0.034314 loss_vfl: 0.740048 loss_bbox: 0.257242 loss_dfl: 0.178514 loss: 1.172979 eta: 19:23:34 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6678 images/s [10/17 15:43:51] ppdet.engine INFO: Epoch: [243] [140/523] learning_rate: 0.034269 loss_vfl: 0.728873 loss_bbox: 0.258662 loss_dfl: 0.180411 loss: 1.183835 eta: 19:22:47 batch_cost: 2.3698 data_cost: 0.0013 ips: 23.6310 images/s [10/17 15:44:42] ppdet.engine INFO: Epoch: [243] [160/523] learning_rate: 0.034225 loss_vfl: 0.750993 loss_bbox: 0.271552 loss_dfl: 0.186987 loss: 1.201643 eta: 19:22:01 batch_cost: 2.4065 data_cost: 0.0013 ips: 23.2703 images/s [10/17 15:45:31] ppdet.engine INFO: Epoch: [243] [180/523] learning_rate: 0.034180 loss_vfl: 0.739607 loss_bbox: 0.267775 loss_dfl: 0.177259 loss: 1.174248 eta: 19:21:14 batch_cost: 2.3756 data_cost: 0.0012 ips: 23.5731 images/s [10/17 15:46:21] ppdet.engine INFO: Epoch: [243] [200/523] learning_rate: 0.034135 loss_vfl: 0.747034 loss_bbox: 0.271515 loss_dfl: 0.183949 loss: 1.199711 eta: 19:20:27 batch_cost: 2.3919 data_cost: 0.0013 ips: 23.4125 images/s [10/17 15:47:09] ppdet.engine INFO: Epoch: [243] [220/523] learning_rate: 0.034090 loss_vfl: 0.740169 loss_bbox: 0.246138 loss_dfl: 0.172975 loss: 1.164119 eta: 19:19:40 batch_cost: 2.3079 data_cost: 0.0022 ips: 24.2647 images/s [10/17 15:47:58] ppdet.engine INFO: Epoch: [243] [240/523] learning_rate: 0.034046 loss_vfl: 0.752368 loss_bbox: 0.269237 loss_dfl: 0.180550 loss: 1.201783 eta: 19:18:53 batch_cost: 2.3262 data_cost: 0.0017 ips: 24.0733 images/s [10/17 15:48:48] ppdet.engine INFO: Epoch: [243] [260/523] learning_rate: 0.034001 loss_vfl: 0.734653 loss_bbox: 0.282534 loss_dfl: 0.187443 loss: 1.211196 eta: 19:18:06 batch_cost: 2.3770 data_cost: 0.0013 ips: 23.5593 images/s [10/17 15:49:35] ppdet.engine INFO: Epoch: [243] [280/523] learning_rate: 0.033956 loss_vfl: 0.739125 loss_bbox: 0.259579 loss_dfl: 0.178542 loss: 1.176687 eta: 19:17:18 batch_cost: 2.2809 data_cost: 0.0013 ips: 24.5514 images/s [10/17 15:50:23] ppdet.engine INFO: Epoch: [243] [300/523] learning_rate: 0.033912 loss_vfl: 0.727725 loss_bbox: 0.271122 loss_dfl: 0.184895 loss: 1.184244 eta: 19:16:31 batch_cost: 2.2754 data_cost: 0.0019 ips: 24.6109 images/s [10/17 15:51:12] ppdet.engine INFO: Epoch: [243] [320/523] learning_rate: 0.033867 loss_vfl: 0.732229 loss_bbox: 0.260061 loss_dfl: 0.177749 loss: 1.160093 eta: 19:15:44 batch_cost: 2.3363 data_cost: 0.0031 ips: 23.9697 images/s [10/17 15:52:00] ppdet.engine INFO: Epoch: [243] [340/523] learning_rate: 0.033822 loss_vfl: 0.759087 loss_bbox: 0.265550 loss_dfl: 0.175938 loss: 1.196354 eta: 19:14:57 batch_cost: 2.3041 data_cost: 0.0012 ips: 24.3048 images/s [10/17 15:52:50] ppdet.engine INFO: Epoch: [243] [360/523] learning_rate: 0.033778 loss_vfl: 0.742689 loss_bbox: 0.251491 loss_dfl: 0.176272 loss: 1.165732 eta: 19:14:10 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6676 images/s [10/17 15:53:39] ppdet.engine INFO: Epoch: [243] [380/523] learning_rate: 0.033733 loss_vfl: 0.748902 loss_bbox: 0.243921 loss_dfl: 0.176159 loss: 1.161247 eta: 19:13:23 batch_cost: 2.3493 data_cost: 0.0013 ips: 23.8372 images/s [10/17 15:54:28] ppdet.engine INFO: Epoch: [243] [400/523] learning_rate: 0.033689 loss_vfl: 0.733164 loss_bbox: 0.249803 loss_dfl: 0.176716 loss: 1.165818 eta: 19:12:36 batch_cost: 2.3486 data_cost: 0.0013 ips: 23.8442 images/s [10/17 15:55:18] ppdet.engine INFO: Epoch: [243] [420/523] learning_rate: 0.033644 loss_vfl: 0.758227 loss_bbox: 0.270361 loss_dfl: 0.187590 loss: 1.204068 eta: 19:11:49 batch_cost: 2.3595 data_cost: 0.0019 ips: 23.7339 images/s [10/17 15:56:07] ppdet.engine INFO: Epoch: [243] [440/523] learning_rate: 0.033600 loss_vfl: 0.739010 loss_bbox: 0.270486 loss_dfl: 0.182679 loss: 1.181195 eta: 19:11:02 batch_cost: 2.3758 data_cost: 0.0013 ips: 23.5709 images/s [10/17 15:56:56] ppdet.engine INFO: Epoch: [243] [460/523] learning_rate: 0.033555 loss_vfl: 0.734266 loss_bbox: 0.282019 loss_dfl: 0.194534 loss: 1.214968 eta: 19:10:15 batch_cost: 2.3508 data_cost: 0.0013 ips: 23.8213 images/s [10/17 15:57:46] ppdet.engine INFO: Epoch: [243] [480/523] learning_rate: 0.033511 loss_vfl: 0.757670 loss_bbox: 0.275761 loss_dfl: 0.186008 loss: 1.214219 eta: 19:09:28 batch_cost: 2.3594 data_cost: 0.0013 ips: 23.7352 images/s [10/17 15:58:35] ppdet.engine INFO: Epoch: [243] [500/523] learning_rate: 0.033467 loss_vfl: 0.739997 loss_bbox: 0.269874 loss_dfl: 0.183171 loss: 1.190150 eta: 19:08:41 batch_cost: 2.3689 data_cost: 0.0012 ips: 23.6398 images/s [10/17 15:59:18] ppdet.engine INFO: Epoch: [243] [520/523] learning_rate: 0.033422 loss_vfl: 0.722254 loss_bbox: 0.259843 loss_dfl: 0.177286 loss: 1.152055 eta: 19:07:52 batch_cost: 2.0276 data_cost: 0.0012 ips: 27.6195 images/s [10/17 15:59:46] ppdet.engine INFO: Epoch: [244] [ 0/523] learning_rate: 0.033416 loss_vfl: 0.708495 loss_bbox: 0.267623 loss_dfl: 0.173496 loss: 1.145693 eta: 19:07:49 batch_cost: 2.8825 data_cost: 0.4241 ips: 19.4276 images/s [10/17 16:00:39] ppdet.engine INFO: Epoch: [244] [ 20/523] learning_rate: 0.033371 loss_vfl: 0.742542 loss_bbox: 0.278291 loss_dfl: 0.181843 loss: 1.202274 eta: 19:07:03 batch_cost: 2.4959 data_cost: 0.0021 ips: 22.4372 images/s [10/17 16:01:29] ppdet.engine INFO: Epoch: [244] [ 40/523] learning_rate: 0.033327 loss_vfl: 0.743249 loss_bbox: 0.271639 loss_dfl: 0.181762 loss: 1.173852 eta: 19:06:16 batch_cost: 2.4281 data_cost: 0.0022 ips: 23.0630 images/s [10/17 16:02:21] ppdet.engine INFO: Epoch: [244] [ 60/523] learning_rate: 0.033283 loss_vfl: 0.730962 loss_bbox: 0.265638 loss_dfl: 0.183417 loss: 1.191467 eta: 19:05:29 batch_cost: 2.4511 data_cost: 0.0018 ips: 22.8469 images/s [10/17 16:03:10] ppdet.engine INFO: Epoch: [244] [ 80/523] learning_rate: 0.033239 loss_vfl: 0.735811 loss_bbox: 0.247994 loss_dfl: 0.174628 loss: 1.176220 eta: 19:04:42 batch_cost: 2.3560 data_cost: 0.0015 ips: 23.7688 images/s [10/17 16:03:58] ppdet.engine INFO: Epoch: [244] [100/523] learning_rate: 0.033194 loss_vfl: 0.739099 loss_bbox: 0.263025 loss_dfl: 0.178749 loss: 1.176925 eta: 19:03:55 batch_cost: 2.2670 data_cost: 0.0021 ips: 24.7019 images/s [10/17 16:04:47] ppdet.engine INFO: Epoch: [244] [120/523] learning_rate: 0.033150 loss_vfl: 0.736065 loss_bbox: 0.246861 loss_dfl: 0.173545 loss: 1.158325 eta: 19:03:08 batch_cost: 2.3802 data_cost: 0.0014 ips: 23.5270 images/s [10/17 16:05:38] ppdet.engine INFO: Epoch: [244] [140/523] learning_rate: 0.033106 loss_vfl: 0.727882 loss_bbox: 0.257252 loss_dfl: 0.174846 loss: 1.153496 eta: 19:02:21 batch_cost: 2.4253 data_cost: 0.0015 ips: 23.0900 images/s [10/17 16:06:27] ppdet.engine INFO: Epoch: [244] [160/523] learning_rate: 0.033062 loss_vfl: 0.727031 loss_bbox: 0.265090 loss_dfl: 0.180968 loss: 1.156979 eta: 19:01:34 batch_cost: 2.3062 data_cost: 0.0014 ips: 24.2829 images/s [10/17 16:07:16] ppdet.engine INFO: Epoch: [244] [180/523] learning_rate: 0.033018 loss_vfl: 0.746056 loss_bbox: 0.277990 loss_dfl: 0.186837 loss: 1.224706 eta: 19:00:47 batch_cost: 2.3675 data_cost: 0.0014 ips: 23.6534 images/s [10/17 16:08:05] ppdet.engine INFO: Epoch: [244] [200/523] learning_rate: 0.032974 loss_vfl: 0.737132 loss_bbox: 0.271599 loss_dfl: 0.180273 loss: 1.179212 eta: 19:00:00 batch_cost: 2.3559 data_cost: 0.0014 ips: 23.7697 images/s [10/17 16:08:53] ppdet.engine INFO: Epoch: [244] [220/523] learning_rate: 0.032930 loss_vfl: 0.755124 loss_bbox: 0.270933 loss_dfl: 0.184495 loss: 1.214186 eta: 18:59:13 batch_cost: 2.2848 data_cost: 0.0013 ips: 24.5096 images/s [10/17 16:09:44] ppdet.engine INFO: Epoch: [244] [240/523] learning_rate: 0.032886 loss_vfl: 0.735901 loss_bbox: 0.267465 loss_dfl: 0.179496 loss: 1.188533 eta: 18:58:26 batch_cost: 2.4148 data_cost: 0.0014 ips: 23.1905 images/s [10/17 16:10:33] ppdet.engine INFO: Epoch: [244] [260/523] learning_rate: 0.032842 loss_vfl: 0.738936 loss_bbox: 0.263022 loss_dfl: 0.179273 loss: 1.193905 eta: 18:57:39 batch_cost: 2.3896 data_cost: 0.0014 ips: 23.4347 images/s [10/17 16:11:22] ppdet.engine INFO: Epoch: [244] [280/523] learning_rate: 0.032798 loss_vfl: 0.745617 loss_bbox: 0.239546 loss_dfl: 0.173595 loss: 1.146889 eta: 18:56:52 batch_cost: 2.3427 data_cost: 0.0014 ips: 23.9037 images/s [10/17 16:12:11] ppdet.engine INFO: Epoch: [244] [300/523] learning_rate: 0.032754 loss_vfl: 0.724311 loss_bbox: 0.264141 loss_dfl: 0.176696 loss: 1.169827 eta: 18:56:05 batch_cost: 2.3230 data_cost: 0.0013 ips: 24.1069 images/s [10/17 16:13:01] ppdet.engine INFO: Epoch: [244] [320/523] learning_rate: 0.032710 loss_vfl: 0.740842 loss_bbox: 0.269759 loss_dfl: 0.182575 loss: 1.192094 eta: 18:55:18 batch_cost: 2.3614 data_cost: 0.0014 ips: 23.7151 images/s [10/17 16:13:51] ppdet.engine INFO: Epoch: [244] [340/523] learning_rate: 0.032666 loss_vfl: 0.753854 loss_bbox: 0.273223 loss_dfl: 0.189096 loss: 1.196427 eta: 18:54:31 batch_cost: 2.3824 data_cost: 0.0031 ips: 23.5053 images/s [10/17 16:14:42] ppdet.engine INFO: Epoch: [244] [360/523] learning_rate: 0.032622 loss_vfl: 0.739862 loss_bbox: 0.252185 loss_dfl: 0.174691 loss: 1.182122 eta: 18:53:44 batch_cost: 2.4432 data_cost: 0.0022 ips: 22.9207 images/s [10/17 16:15:30] ppdet.engine INFO: Epoch: [244] [380/523] learning_rate: 0.032578 loss_vfl: 0.743631 loss_bbox: 0.266054 loss_dfl: 0.180194 loss: 1.196207 eta: 18:52:57 batch_cost: 2.3291 data_cost: 0.0014 ips: 24.0435 images/s [10/17 16:16:21] ppdet.engine INFO: Epoch: [244] [400/523] learning_rate: 0.032535 loss_vfl: 0.732012 loss_bbox: 0.257911 loss_dfl: 0.176393 loss: 1.190532 eta: 18:52:11 batch_cost: 2.4054 data_cost: 0.0014 ips: 23.2809 images/s [10/17 16:17:11] ppdet.engine INFO: Epoch: [244] [420/523] learning_rate: 0.032491 loss_vfl: 0.742016 loss_bbox: 0.274069 loss_dfl: 0.186891 loss: 1.202617 eta: 18:51:24 batch_cost: 2.3999 data_cost: 0.0015 ips: 23.3342 images/s [10/17 16:18:01] ppdet.engine INFO: Epoch: [244] [440/523] learning_rate: 0.032447 loss_vfl: 0.741255 loss_bbox: 0.270222 loss_dfl: 0.186057 loss: 1.194149 eta: 18:50:37 batch_cost: 2.3831 data_cost: 0.0021 ips: 23.4991 images/s [10/17 16:18:49] ppdet.engine INFO: Epoch: [244] [460/523] learning_rate: 0.032403 loss_vfl: 0.749272 loss_bbox: 0.270184 loss_dfl: 0.178243 loss: 1.180035 eta: 18:49:50 batch_cost: 2.3235 data_cost: 0.0013 ips: 24.1015 images/s [10/17 16:19:39] ppdet.engine INFO: Epoch: [244] [480/523] learning_rate: 0.032360 loss_vfl: 0.742020 loss_bbox: 0.269405 loss_dfl: 0.191487 loss: 1.184063 eta: 18:49:03 batch_cost: 2.3547 data_cost: 0.0013 ips: 23.7818 images/s [10/17 16:20:30] ppdet.engine INFO: Epoch: [244] [500/523] learning_rate: 0.032316 loss_vfl: 0.734558 loss_bbox: 0.259417 loss_dfl: 0.184852 loss: 1.180774 eta: 18:48:16 batch_cost: 2.4432 data_cost: 0.0014 ips: 22.9211 images/s [10/17 16:21:12] ppdet.engine INFO: Epoch: [244] [520/523] learning_rate: 0.032272 loss_vfl: 0.744730 loss_bbox: 0.257135 loss_dfl: 0.186746 loss: 1.180230 eta: 18:47:27 batch_cost: 1.9946 data_cost: 0.0013 ips: 28.0762 images/s [10/17 16:21:40] ppdet.engine INFO: Epoch: [245] [ 0/523] learning_rate: 0.032266 loss_vfl: 0.744730 loss_bbox: 0.257135 loss_dfl: 0.186746 loss: 1.180230 eta: 18:47:24 batch_cost: 2.8860 data_cost: 0.7360 ips: 19.4041 images/s [10/17 16:22:33] ppdet.engine INFO: Epoch: [245] [ 20/523] learning_rate: 0.032222 loss_vfl: 0.734504 loss_bbox: 0.275676 loss_dfl: 0.187904 loss: 1.195723 eta: 18:46:38 batch_cost: 2.5563 data_cost: 0.0014 ips: 21.9067 images/s [10/17 16:23:23] ppdet.engine INFO: Epoch: [245] [ 40/523] learning_rate: 0.032179 loss_vfl: 0.726780 loss_bbox: 0.246230 loss_dfl: 0.177632 loss: 1.147853 eta: 18:45:51 batch_cost: 2.4049 data_cost: 0.0015 ips: 23.2855 images/s [10/17 16:24:12] ppdet.engine INFO: Epoch: [245] [ 60/523] learning_rate: 0.032135 loss_vfl: 0.743021 loss_bbox: 0.231187 loss_dfl: 0.167458 loss: 1.131944 eta: 18:45:04 batch_cost: 2.3241 data_cost: 0.0020 ips: 24.0955 images/s [10/17 16:25:02] ppdet.engine INFO: Epoch: [245] [ 80/523] learning_rate: 0.032092 loss_vfl: 0.716992 loss_bbox: 0.264743 loss_dfl: 0.179641 loss: 1.158421 eta: 18:44:17 batch_cost: 2.3970 data_cost: 0.0013 ips: 23.3626 images/s [10/17 16:25:52] ppdet.engine INFO: Epoch: [245] [100/523] learning_rate: 0.032048 loss_vfl: 0.723948 loss_bbox: 0.278344 loss_dfl: 0.188526 loss: 1.203434 eta: 18:43:31 batch_cost: 2.3991 data_cost: 0.0014 ips: 23.3424 images/s [10/17 16:26:41] ppdet.engine INFO: Epoch: [245] [120/523] learning_rate: 0.032005 loss_vfl: 0.734657 loss_bbox: 0.272269 loss_dfl: 0.182257 loss: 1.180509 eta: 18:42:44 batch_cost: 2.3703 data_cost: 0.0014 ips: 23.6253 images/s [10/17 16:27:29] ppdet.engine INFO: Epoch: [245] [140/523] learning_rate: 0.031961 loss_vfl: 0.741686 loss_bbox: 0.258313 loss_dfl: 0.176859 loss: 1.153927 eta: 18:41:56 batch_cost: 2.2868 data_cost: 0.0014 ips: 24.4879 images/s [10/17 16:28:18] ppdet.engine INFO: Epoch: [245] [160/523] learning_rate: 0.031918 loss_vfl: 0.737130 loss_bbox: 0.269100 loss_dfl: 0.183319 loss: 1.197946 eta: 18:41:09 batch_cost: 2.3298 data_cost: 0.0013 ips: 24.0365 images/s [10/17 16:29:06] ppdet.engine INFO: Epoch: [245] [180/523] learning_rate: 0.031874 loss_vfl: 0.733094 loss_bbox: 0.254942 loss_dfl: 0.180202 loss: 1.171041 eta: 18:40:22 batch_cost: 2.3357 data_cost: 0.0013 ips: 23.9752 images/s [10/17 16:29:55] ppdet.engine INFO: Epoch: [245] [200/523] learning_rate: 0.031831 loss_vfl: 0.742433 loss_bbox: 0.259158 loss_dfl: 0.180035 loss: 1.185538 eta: 18:39:35 batch_cost: 2.3247 data_cost: 0.0013 ips: 24.0888 images/s [10/17 16:30:45] ppdet.engine INFO: Epoch: [245] [220/523] learning_rate: 0.031788 loss_vfl: 0.751804 loss_bbox: 0.247938 loss_dfl: 0.174943 loss: 1.168375 eta: 18:38:48 batch_cost: 2.3888 data_cost: 0.0013 ips: 23.4429 images/s [10/17 16:31:36] ppdet.engine INFO: Epoch: [245] [240/523] learning_rate: 0.031744 loss_vfl: 0.728603 loss_bbox: 0.257409 loss_dfl: 0.178666 loss: 1.175346 eta: 18:38:01 batch_cost: 2.4183 data_cost: 0.0013 ips: 23.1565 images/s [10/17 16:32:25] ppdet.engine INFO: Epoch: [245] [260/523] learning_rate: 0.031701 loss_vfl: 0.739031 loss_bbox: 0.266576 loss_dfl: 0.176851 loss: 1.174263 eta: 18:37:14 batch_cost: 2.3691 data_cost: 0.0013 ips: 23.6378 images/s [10/17 16:33:15] ppdet.engine INFO: Epoch: [245] [280/523] learning_rate: 0.031658 loss_vfl: 0.748548 loss_bbox: 0.270928 loss_dfl: 0.177138 loss: 1.178611 eta: 18:36:27 batch_cost: 2.3686 data_cost: 0.0016 ips: 23.6428 images/s [10/17 16:34:03] ppdet.engine INFO: Epoch: [245] [300/523] learning_rate: 0.031615 loss_vfl: 0.740962 loss_bbox: 0.268330 loss_dfl: 0.182543 loss: 1.193107 eta: 18:35:40 batch_cost: 2.3329 data_cost: 0.0018 ips: 24.0040 images/s [10/17 16:34:52] ppdet.engine INFO: Epoch: [245] [320/523] learning_rate: 0.031571 loss_vfl: 0.742537 loss_bbox: 0.269971 loss_dfl: 0.185503 loss: 1.187494 eta: 18:34:53 batch_cost: 2.3333 data_cost: 0.0014 ips: 24.0005 images/s [10/17 16:35:43] ppdet.engine INFO: Epoch: [245] [340/523] learning_rate: 0.031528 loss_vfl: 0.734108 loss_bbox: 0.270438 loss_dfl: 0.179367 loss: 1.184076 eta: 18:34:06 batch_cost: 2.4348 data_cost: 0.0013 ips: 22.9999 images/s [10/17 16:36:33] ppdet.engine INFO: Epoch: [245] [360/523] learning_rate: 0.031485 loss_vfl: 0.741610 loss_bbox: 0.270745 loss_dfl: 0.179700 loss: 1.197115 eta: 18:33:20 batch_cost: 2.3818 data_cost: 0.0015 ips: 23.5116 images/s [10/17 16:37:23] ppdet.engine INFO: Epoch: [245] [380/523] learning_rate: 0.031442 loss_vfl: 0.715061 loss_bbox: 0.272150 loss_dfl: 0.185467 loss: 1.167057 eta: 18:32:33 batch_cost: 2.3845 data_cost: 0.0012 ips: 23.4851 images/s [10/17 16:38:12] ppdet.engine INFO: Epoch: [245] [400/523] learning_rate: 0.031399 loss_vfl: 0.725662 loss_bbox: 0.265422 loss_dfl: 0.182023 loss: 1.182269 eta: 18:31:46 batch_cost: 2.3686 data_cost: 0.0026 ips: 23.6429 images/s [10/17 16:39:01] ppdet.engine INFO: Epoch: [245] [420/523] learning_rate: 0.031356 loss_vfl: 0.727769 loss_bbox: 0.263737 loss_dfl: 0.181293 loss: 1.194797 eta: 18:30:59 batch_cost: 2.3298 data_cost: 0.0013 ips: 24.0360 images/s [10/17 16:39:48] ppdet.engine INFO: Epoch: [245] [440/523] learning_rate: 0.031313 loss_vfl: 0.743974 loss_bbox: 0.261135 loss_dfl: 0.178774 loss: 1.199831 eta: 18:30:11 batch_cost: 2.2837 data_cost: 0.0013 ips: 24.5217 images/s [10/17 16:40:38] ppdet.engine INFO: Epoch: [245] [460/523] learning_rate: 0.031270 loss_vfl: 0.744668 loss_bbox: 0.260990 loss_dfl: 0.178879 loss: 1.187523 eta: 18:29:24 batch_cost: 2.3538 data_cost: 0.0013 ips: 23.7911 images/s [10/17 16:41:27] ppdet.engine INFO: Epoch: [245] [480/523] learning_rate: 0.031227 loss_vfl: 0.747155 loss_bbox: 0.273736 loss_dfl: 0.185765 loss: 1.220676 eta: 18:28:37 batch_cost: 2.3754 data_cost: 0.0014 ips: 23.5748 images/s [10/17 16:42:16] ppdet.engine INFO: Epoch: [245] [500/523] learning_rate: 0.031184 loss_vfl: 0.733061 loss_bbox: 0.246536 loss_dfl: 0.168391 loss: 1.180671 eta: 18:27:50 batch_cost: 2.3652 data_cost: 0.0013 ips: 23.6762 images/s [10/17 16:43:00] ppdet.engine INFO: Epoch: [245] [520/523] learning_rate: 0.031141 loss_vfl: 0.735207 loss_bbox: 0.266377 loss_dfl: 0.180683 loss: 1.171121 eta: 18:27:02 batch_cost: 2.0953 data_cost: 0.0013 ips: 26.7267 images/s [10/17 16:43:30] ppdet.engine INFO: Epoch: [246] [ 0/523] learning_rate: 0.031134 loss_vfl: 0.734063 loss_bbox: 0.271752 loss_dfl: 0.181972 loss: 1.176028 eta: 18:26:59 batch_cost: 3.0420 data_cost: 0.4624 ips: 18.4089 images/s [10/17 16:44:22] ppdet.engine INFO: Epoch: [246] [ 20/523] learning_rate: 0.031092 loss_vfl: 0.749391 loss_bbox: 0.270638 loss_dfl: 0.188282 loss: 1.218103 eta: 18:26:13 batch_cost: 2.5039 data_cost: 0.0013 ips: 22.3655 images/s [10/17 16:45:13] ppdet.engine INFO: Epoch: [246] [ 40/523] learning_rate: 0.031049 loss_vfl: 0.732415 loss_bbox: 0.264717 loss_dfl: 0.186334 loss: 1.200613 eta: 18:25:26 batch_cost: 2.4438 data_cost: 0.0013 ips: 22.9152 images/s [10/17 16:46:03] ppdet.engine INFO: Epoch: [246] [ 60/523] learning_rate: 0.031006 loss_vfl: 0.726874 loss_bbox: 0.266521 loss_dfl: 0.186604 loss: 1.178220 eta: 18:24:39 batch_cost: 2.3712 data_cost: 0.0013 ips: 23.6168 images/s [10/17 16:46:52] ppdet.engine INFO: Epoch: [246] [ 80/523] learning_rate: 0.030963 loss_vfl: 0.721427 loss_bbox: 0.250540 loss_dfl: 0.183188 loss: 1.164480 eta: 18:23:52 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6576 images/s [10/17 16:47:41] ppdet.engine INFO: Epoch: [246] [100/523] learning_rate: 0.030920 loss_vfl: 0.746213 loss_bbox: 0.267585 loss_dfl: 0.179068 loss: 1.188206 eta: 18:23:05 batch_cost: 2.3376 data_cost: 0.0014 ips: 23.9559 images/s [10/17 16:48:31] ppdet.engine INFO: Epoch: [246] [120/523] learning_rate: 0.030877 loss_vfl: 0.758882 loss_bbox: 0.256886 loss_dfl: 0.179605 loss: 1.177226 eta: 18:22:18 batch_cost: 2.3886 data_cost: 0.0019 ips: 23.4446 images/s [10/17 16:49:22] ppdet.engine INFO: Epoch: [246] [140/523] learning_rate: 0.030835 loss_vfl: 0.730957 loss_bbox: 0.244356 loss_dfl: 0.173126 loss: 1.161804 eta: 18:21:32 batch_cost: 2.4122 data_cost: 0.0020 ips: 23.2158 images/s [10/17 16:50:12] ppdet.engine INFO: Epoch: [246] [160/523] learning_rate: 0.030792 loss_vfl: 0.710808 loss_bbox: 0.279153 loss_dfl: 0.184472 loss: 1.186977 eta: 18:20:45 batch_cost: 2.4159 data_cost: 0.0024 ips: 23.1801 images/s [10/17 16:51:01] ppdet.engine INFO: Epoch: [246] [180/523] learning_rate: 0.030749 loss_vfl: 0.745467 loss_bbox: 0.248327 loss_dfl: 0.173682 loss: 1.154882 eta: 18:19:58 batch_cost: 2.3395 data_cost: 0.0013 ips: 23.9363 images/s [10/17 16:51:51] ppdet.engine INFO: Epoch: [246] [200/523] learning_rate: 0.030707 loss_vfl: 0.737629 loss_bbox: 0.279567 loss_dfl: 0.191771 loss: 1.210159 eta: 18:19:11 batch_cost: 2.3611 data_cost: 0.0013 ips: 23.7181 images/s [10/17 16:52:40] ppdet.engine INFO: Epoch: [246] [220/523] learning_rate: 0.030664 loss_vfl: 0.726237 loss_bbox: 0.268746 loss_dfl: 0.188308 loss: 1.176044 eta: 18:18:24 batch_cost: 2.3494 data_cost: 0.0013 ips: 23.8362 images/s [10/17 16:53:29] ppdet.engine INFO: Epoch: [246] [240/523] learning_rate: 0.030621 loss_vfl: 0.743157 loss_bbox: 0.261594 loss_dfl: 0.178990 loss: 1.186745 eta: 18:17:37 batch_cost: 2.3929 data_cost: 0.0013 ips: 23.4029 images/s [10/17 16:54:19] ppdet.engine INFO: Epoch: [246] [260/523] learning_rate: 0.030579 loss_vfl: 0.721832 loss_bbox: 0.266263 loss_dfl: 0.182740 loss: 1.180644 eta: 18:16:50 batch_cost: 2.3695 data_cost: 0.0014 ips: 23.6332 images/s [10/17 16:55:08] ppdet.engine INFO: Epoch: [246] [280/523] learning_rate: 0.030536 loss_vfl: 0.732936 loss_bbox: 0.257812 loss_dfl: 0.184500 loss: 1.172728 eta: 18:16:03 batch_cost: 2.3322 data_cost: 0.0013 ips: 24.0120 images/s [10/17 16:55:58] ppdet.engine INFO: Epoch: [246] [300/523] learning_rate: 0.030494 loss_vfl: 0.751270 loss_bbox: 0.266412 loss_dfl: 0.176968 loss: 1.205938 eta: 18:15:16 batch_cost: 2.3935 data_cost: 0.0014 ips: 23.3970 images/s [10/17 16:56:46] ppdet.engine INFO: Epoch: [246] [320/523] learning_rate: 0.030451 loss_vfl: 0.720135 loss_bbox: 0.269681 loss_dfl: 0.183451 loss: 1.176672 eta: 18:14:29 batch_cost: 2.3091 data_cost: 0.0014 ips: 24.2519 images/s [10/17 16:57:35] ppdet.engine INFO: Epoch: [246] [340/523] learning_rate: 0.030409 loss_vfl: 0.736052 loss_bbox: 0.256089 loss_dfl: 0.176030 loss: 1.170946 eta: 18:13:42 batch_cost: 2.3233 data_cost: 0.0013 ips: 24.1032 images/s [10/17 16:58:25] ppdet.engine INFO: Epoch: [246] [360/523] learning_rate: 0.030366 loss_vfl: 0.740685 loss_bbox: 0.269483 loss_dfl: 0.174101 loss: 1.178678 eta: 18:12:55 batch_cost: 2.4094 data_cost: 0.0013 ips: 23.2427 images/s [10/17 16:59:14] ppdet.engine INFO: Epoch: [246] [380/523] learning_rate: 0.030324 loss_vfl: 0.747435 loss_bbox: 0.257996 loss_dfl: 0.171179 loss: 1.184160 eta: 18:12:08 batch_cost: 2.3294 data_cost: 0.0013 ips: 24.0409 images/s [10/17 17:00:03] ppdet.engine INFO: Epoch: [246] [400/523] learning_rate: 0.030282 loss_vfl: 0.738425 loss_bbox: 0.262739 loss_dfl: 0.176750 loss: 1.194412 eta: 18:11:20 batch_cost: 2.3217 data_cost: 0.0013 ips: 24.1205 images/s [10/17 17:00:53] ppdet.engine INFO: Epoch: [246] [420/523] learning_rate: 0.030239 loss_vfl: 0.753920 loss_bbox: 0.260601 loss_dfl: 0.171041 loss: 1.178282 eta: 18:10:34 batch_cost: 2.3975 data_cost: 0.0013 ips: 23.3578 images/s [10/17 17:01:43] ppdet.engine INFO: Epoch: [246] [440/523] learning_rate: 0.030197 loss_vfl: 0.733964 loss_bbox: 0.262150 loss_dfl: 0.186254 loss: 1.190764 eta: 18:09:47 batch_cost: 2.3978 data_cost: 0.0014 ips: 23.3543 images/s [10/17 17:02:32] ppdet.engine INFO: Epoch: [246] [460/523] learning_rate: 0.030155 loss_vfl: 0.743073 loss_bbox: 0.266086 loss_dfl: 0.186088 loss: 1.190746 eta: 18:09:00 batch_cost: 2.3173 data_cost: 0.0019 ips: 24.1665 images/s [10/17 17:03:21] ppdet.engine INFO: Epoch: [246] [480/523] learning_rate: 0.030112 loss_vfl: 0.735128 loss_bbox: 0.259089 loss_dfl: 0.179881 loss: 1.182239 eta: 18:08:12 batch_cost: 2.3365 data_cost: 0.0039 ips: 23.9679 images/s [10/17 17:04:11] ppdet.engine INFO: Epoch: [246] [500/523] learning_rate: 0.030070 loss_vfl: 0.754893 loss_bbox: 0.256161 loss_dfl: 0.181421 loss: 1.187949 eta: 18:07:26 batch_cost: 2.4265 data_cost: 0.0013 ips: 23.0788 images/s [10/17 17:04:53] ppdet.engine INFO: Epoch: [246] [520/523] learning_rate: 0.030028 loss_vfl: 0.732430 loss_bbox: 0.254262 loss_dfl: 0.179784 loss: 1.163410 eta: 18:06:37 batch_cost: 1.9730 data_cost: 0.0013 ips: 28.3830 images/s [10/17 17:05:22] ppdet.engine INFO: Epoch: [247] [ 0/523] learning_rate: 0.030021 loss_vfl: 0.737647 loss_bbox: 0.254262 loss_dfl: 0.178181 loss: 1.181191 eta: 18:06:34 batch_cost: 2.8493 data_cost: 0.5393 ips: 19.6543 images/s [10/17 17:06:17] ppdet.engine INFO: Epoch: [247] [ 20/523] learning_rate: 0.029979 loss_vfl: 0.729888 loss_bbox: 0.269773 loss_dfl: 0.180395 loss: 1.173502 eta: 18:05:48 batch_cost: 2.6418 data_cost: 0.0015 ips: 21.1975 images/s [10/17 17:07:05] ppdet.engine INFO: Epoch: [247] [ 40/523] learning_rate: 0.029937 loss_vfl: 0.721796 loss_bbox: 0.270327 loss_dfl: 0.181979 loss: 1.179690 eta: 18:05:01 batch_cost: 2.3114 data_cost: 0.0023 ips: 24.2277 images/s [10/17 17:07:54] ppdet.engine INFO: Epoch: [247] [ 60/523] learning_rate: 0.029895 loss_vfl: 0.733522 loss_bbox: 0.251274 loss_dfl: 0.178838 loss: 1.165970 eta: 18:04:14 batch_cost: 2.3568 data_cost: 0.0014 ips: 23.7615 images/s [10/17 17:08:43] ppdet.engine INFO: Epoch: [247] [ 80/523] learning_rate: 0.029853 loss_vfl: 0.740554 loss_bbox: 0.242983 loss_dfl: 0.165591 loss: 1.156999 eta: 18:03:27 batch_cost: 2.3455 data_cost: 0.0013 ips: 23.8754 images/s [10/17 17:09:33] ppdet.engine INFO: Epoch: [247] [100/523] learning_rate: 0.029811 loss_vfl: 0.735253 loss_bbox: 0.270038 loss_dfl: 0.189127 loss: 1.204935 eta: 18:02:40 batch_cost: 2.3549 data_cost: 0.0013 ips: 23.7805 images/s [10/17 17:10:21] ppdet.engine INFO: Epoch: [247] [120/523] learning_rate: 0.029769 loss_vfl: 0.745565 loss_bbox: 0.245085 loss_dfl: 0.165098 loss: 1.152393 eta: 18:01:52 batch_cost: 2.3330 data_cost: 0.0013 ips: 24.0037 images/s [10/17 17:11:11] ppdet.engine INFO: Epoch: [247] [140/523] learning_rate: 0.029727 loss_vfl: 0.717644 loss_bbox: 0.268655 loss_dfl: 0.184683 loss: 1.181331 eta: 18:01:05 batch_cost: 2.3635 data_cost: 0.0013 ips: 23.6937 images/s [10/17 17:12:01] ppdet.engine INFO: Epoch: [247] [160/523] learning_rate: 0.029685 loss_vfl: 0.743255 loss_bbox: 0.254291 loss_dfl: 0.172360 loss: 1.160610 eta: 18:00:19 batch_cost: 2.4221 data_cost: 0.0014 ips: 23.1209 images/s [10/17 17:12:49] ppdet.engine INFO: Epoch: [247] [180/523] learning_rate: 0.029643 loss_vfl: 0.723435 loss_bbox: 0.250334 loss_dfl: 0.179281 loss: 1.139735 eta: 17:59:32 batch_cost: 2.3140 data_cost: 0.0013 ips: 24.2007 images/s [10/17 17:13:38] ppdet.engine INFO: Epoch: [247] [200/523] learning_rate: 0.029601 loss_vfl: 0.722565 loss_bbox: 0.265557 loss_dfl: 0.186038 loss: 1.173291 eta: 17:58:44 batch_cost: 2.3424 data_cost: 0.0014 ips: 23.9074 images/s [10/17 17:14:28] ppdet.engine INFO: Epoch: [247] [220/523] learning_rate: 0.029559 loss_vfl: 0.731487 loss_bbox: 0.264963 loss_dfl: 0.179985 loss: 1.186470 eta: 17:57:58 batch_cost: 2.3936 data_cost: 0.0013 ips: 23.3961 images/s [10/17 17:15:18] ppdet.engine INFO: Epoch: [247] [240/523] learning_rate: 0.029517 loss_vfl: 0.729674 loss_bbox: 0.271861 loss_dfl: 0.190336 loss: 1.187546 eta: 17:57:11 batch_cost: 2.3557 data_cost: 0.0015 ips: 23.7721 images/s [10/17 17:16:07] ppdet.engine INFO: Epoch: [247] [260/523] learning_rate: 0.029475 loss_vfl: 0.735928 loss_bbox: 0.257092 loss_dfl: 0.181279 loss: 1.180699 eta: 17:56:24 batch_cost: 2.3591 data_cost: 0.0015 ips: 23.7375 images/s [10/17 17:16:56] ppdet.engine INFO: Epoch: [247] [280/523] learning_rate: 0.029433 loss_vfl: 0.734931 loss_bbox: 0.257300 loss_dfl: 0.172869 loss: 1.171362 eta: 17:55:37 batch_cost: 2.3545 data_cost: 0.0013 ips: 23.7843 images/s [10/17 17:17:45] ppdet.engine INFO: Epoch: [247] [300/523] learning_rate: 0.029391 loss_vfl: 0.736895 loss_bbox: 0.269798 loss_dfl: 0.184303 loss: 1.193986 eta: 17:54:49 batch_cost: 2.3419 data_cost: 0.0015 ips: 23.9123 images/s [10/17 17:18:35] ppdet.engine INFO: Epoch: [247] [320/523] learning_rate: 0.029350 loss_vfl: 0.725500 loss_bbox: 0.280764 loss_dfl: 0.182771 loss: 1.187398 eta: 17:54:03 batch_cost: 2.3977 data_cost: 0.0016 ips: 23.3558 images/s [10/17 17:19:24] ppdet.engine INFO: Epoch: [247] [340/523] learning_rate: 0.029308 loss_vfl: 0.737493 loss_bbox: 0.260366 loss_dfl: 0.178292 loss: 1.164855 eta: 17:53:15 batch_cost: 2.3350 data_cost: 0.0023 ips: 23.9832 images/s [10/17 17:20:14] ppdet.engine INFO: Epoch: [247] [360/523] learning_rate: 0.029266 loss_vfl: 0.732296 loss_bbox: 0.263426 loss_dfl: 0.177961 loss: 1.174312 eta: 17:52:29 batch_cost: 2.3813 data_cost: 0.0015 ips: 23.5163 images/s [10/17 17:21:02] ppdet.engine INFO: Epoch: [247] [380/523] learning_rate: 0.029224 loss_vfl: 0.726619 loss_bbox: 0.245633 loss_dfl: 0.172636 loss: 1.158718 eta: 17:51:41 batch_cost: 2.3251 data_cost: 0.0033 ips: 24.0848 images/s [10/17 17:21:50] ppdet.engine INFO: Epoch: [247] [400/523] learning_rate: 0.029183 loss_vfl: 0.733373 loss_bbox: 0.251429 loss_dfl: 0.176800 loss: 1.149898 eta: 17:50:54 batch_cost: 2.2574 data_cost: 0.0015 ips: 24.8078 images/s [10/17 17:22:39] ppdet.engine INFO: Epoch: [247] [420/523] learning_rate: 0.029141 loss_vfl: 0.724812 loss_bbox: 0.250439 loss_dfl: 0.173496 loss: 1.157136 eta: 17:50:07 batch_cost: 2.3845 data_cost: 0.0015 ips: 23.4848 images/s [10/17 17:23:31] ppdet.engine INFO: Epoch: [247] [440/523] learning_rate: 0.029100 loss_vfl: 0.744200 loss_bbox: 0.274922 loss_dfl: 0.189995 loss: 1.198687 eta: 17:49:20 batch_cost: 2.4388 data_cost: 0.0015 ips: 22.9621 images/s [10/17 17:24:21] ppdet.engine INFO: Epoch: [247] [460/523] learning_rate: 0.029058 loss_vfl: 0.737790 loss_bbox: 0.257146 loss_dfl: 0.181063 loss: 1.197075 eta: 17:48:34 batch_cost: 2.4272 data_cost: 0.0019 ips: 23.0721 images/s [10/17 17:25:12] ppdet.engine INFO: Epoch: [247] [480/523] learning_rate: 0.029016 loss_vfl: 0.739022 loss_bbox: 0.261643 loss_dfl: 0.175423 loss: 1.175825 eta: 17:47:47 batch_cost: 2.4385 data_cost: 0.0024 ips: 22.9645 images/s [10/17 17:26:03] ppdet.engine INFO: Epoch: [247] [500/523] learning_rate: 0.028975 loss_vfl: 0.736937 loss_bbox: 0.258326 loss_dfl: 0.175627 loss: 1.146041 eta: 17:47:00 batch_cost: 2.4088 data_cost: 0.0014 ips: 23.2485 images/s [10/17 17:26:47] ppdet.engine INFO: Epoch: [247] [520/523] learning_rate: 0.028933 loss_vfl: 0.735094 loss_bbox: 0.257813 loss_dfl: 0.181453 loss: 1.189283 eta: 17:46:12 batch_cost: 2.1129 data_cost: 0.0014 ips: 26.5039 images/s [10/17 17:27:19] ppdet.engine INFO: Epoch: [248] [ 0/523] learning_rate: 0.028927 loss_vfl: 0.730949 loss_bbox: 0.258848 loss_dfl: 0.181453 loss: 1.189283 eta: 17:46:10 batch_cost: 3.1659 data_cost: 0.7275 ips: 17.6884 images/s [10/17 17:28:08] ppdet.engine INFO: Epoch: [248] [ 20/523] learning_rate: 0.028886 loss_vfl: 0.725611 loss_bbox: 0.268391 loss_dfl: 0.180394 loss: 1.176828 eta: 17:45:22 batch_cost: 2.3277 data_cost: 0.0013 ips: 24.0583 images/s [10/17 17:28:58] ppdet.engine INFO: Epoch: [248] [ 40/523] learning_rate: 0.028844 loss_vfl: 0.717108 loss_bbox: 0.257701 loss_dfl: 0.177951 loss: 1.198545 eta: 17:44:36 batch_cost: 2.4087 data_cost: 0.0017 ips: 23.2488 images/s [10/17 17:29:47] ppdet.engine INFO: Epoch: [248] [ 60/523] learning_rate: 0.028803 loss_vfl: 0.734280 loss_bbox: 0.267276 loss_dfl: 0.182352 loss: 1.180460 eta: 17:43:49 batch_cost: 2.3616 data_cost: 0.0019 ips: 23.7128 images/s [10/17 17:30:37] ppdet.engine INFO: Epoch: [248] [ 80/523] learning_rate: 0.028761 loss_vfl: 0.730174 loss_bbox: 0.264110 loss_dfl: 0.183469 loss: 1.183692 eta: 17:43:02 batch_cost: 2.4011 data_cost: 0.0013 ips: 23.3226 images/s [10/17 17:31:26] ppdet.engine INFO: Epoch: [248] [100/523] learning_rate: 0.028720 loss_vfl: 0.729913 loss_bbox: 0.254509 loss_dfl: 0.178744 loss: 1.168228 eta: 17:42:15 batch_cost: 2.3439 data_cost: 0.0013 ips: 23.8923 images/s [10/17 17:32:14] ppdet.engine INFO: Epoch: [248] [120/523] learning_rate: 0.028679 loss_vfl: 0.720746 loss_bbox: 0.266326 loss_dfl: 0.180247 loss: 1.168375 eta: 17:41:27 batch_cost: 2.2989 data_cost: 0.0014 ips: 24.3596 images/s [10/17 17:33:03] ppdet.engine INFO: Epoch: [248] [140/523] learning_rate: 0.028637 loss_vfl: 0.732762 loss_bbox: 0.249275 loss_dfl: 0.185489 loss: 1.165240 eta: 17:40:40 batch_cost: 2.3508 data_cost: 0.0021 ips: 23.8218 images/s [10/17 17:33:53] ppdet.engine INFO: Epoch: [248] [160/523] learning_rate: 0.028596 loss_vfl: 0.745048 loss_bbox: 0.268592 loss_dfl: 0.187657 loss: 1.216302 eta: 17:39:53 batch_cost: 2.3581 data_cost: 0.0013 ips: 23.7478 images/s [10/17 17:34:43] ppdet.engine INFO: Epoch: [248] [180/523] learning_rate: 0.028555 loss_vfl: 0.739382 loss_bbox: 0.264950 loss_dfl: 0.179977 loss: 1.189468 eta: 17:39:07 batch_cost: 2.4202 data_cost: 0.0013 ips: 23.1388 images/s [10/17 17:35:33] ppdet.engine INFO: Epoch: [248] [200/523] learning_rate: 0.028514 loss_vfl: 0.743961 loss_bbox: 0.266319 loss_dfl: 0.181168 loss: 1.188528 eta: 17:38:20 batch_cost: 2.3623 data_cost: 0.0014 ips: 23.7053 images/s [10/17 17:36:22] ppdet.engine INFO: Epoch: [248] [220/523] learning_rate: 0.028472 loss_vfl: 0.727842 loss_bbox: 0.259823 loss_dfl: 0.180209 loss: 1.157452 eta: 17:37:33 batch_cost: 2.3592 data_cost: 0.0013 ips: 23.7369 images/s [10/17 17:37:11] ppdet.engine INFO: Epoch: [248] [240/523] learning_rate: 0.028431 loss_vfl: 0.733056 loss_bbox: 0.275546 loss_dfl: 0.184431 loss: 1.197838 eta: 17:36:46 batch_cost: 2.3698 data_cost: 0.0021 ips: 23.6304 images/s [10/17 17:38:00] ppdet.engine INFO: Epoch: [248] [260/523] learning_rate: 0.028390 loss_vfl: 0.739792 loss_bbox: 0.257493 loss_dfl: 0.176096 loss: 1.173890 eta: 17:35:58 batch_cost: 2.2889 data_cost: 0.0015 ips: 24.4658 images/s [10/17 17:38:49] ppdet.engine INFO: Epoch: [248] [280/523] learning_rate: 0.028349 loss_vfl: 0.737224 loss_bbox: 0.264453 loss_dfl: 0.182053 loss: 1.181317 eta: 17:35:11 batch_cost: 2.3588 data_cost: 0.0012 ips: 23.7407 images/s [10/17 17:39:39] ppdet.engine INFO: Epoch: [248] [300/523] learning_rate: 0.028308 loss_vfl: 0.745357 loss_bbox: 0.251919 loss_dfl: 0.179360 loss: 1.179694 eta: 17:34:24 batch_cost: 2.3681 data_cost: 0.0014 ips: 23.6479 images/s [10/17 17:40:27] ppdet.engine INFO: Epoch: [248] [320/523] learning_rate: 0.028267 loss_vfl: 0.735624 loss_bbox: 0.254071 loss_dfl: 0.178188 loss: 1.155006 eta: 17:33:37 batch_cost: 2.3046 data_cost: 0.0014 ips: 24.2989 images/s [10/17 17:41:15] ppdet.engine INFO: Epoch: [248] [340/523] learning_rate: 0.028226 loss_vfl: 0.736301 loss_bbox: 0.269191 loss_dfl: 0.188687 loss: 1.185532 eta: 17:32:50 batch_cost: 2.2744 data_cost: 0.0029 ips: 24.6224 images/s [10/17 17:42:03] ppdet.engine INFO: Epoch: [248] [360/523] learning_rate: 0.028185 loss_vfl: 0.729007 loss_bbox: 0.277231 loss_dfl: 0.190793 loss: 1.204542 eta: 17:32:02 batch_cost: 2.3186 data_cost: 0.0012 ips: 24.1522 images/s [10/17 17:42:53] ppdet.engine INFO: Epoch: [248] [380/523] learning_rate: 0.028144 loss_vfl: 0.727393 loss_bbox: 0.255321 loss_dfl: 0.179297 loss: 1.172547 eta: 17:31:15 batch_cost: 2.3545 data_cost: 0.0013 ips: 23.7838 images/s [10/17 17:43:42] ppdet.engine INFO: Epoch: [248] [400/523] learning_rate: 0.028103 loss_vfl: 0.752742 loss_bbox: 0.272022 loss_dfl: 0.185372 loss: 1.211632 eta: 17:30:28 batch_cost: 2.3485 data_cost: 0.0012 ips: 23.8455 images/s [10/17 17:44:31] ppdet.engine INFO: Epoch: [248] [420/523] learning_rate: 0.028062 loss_vfl: 0.729837 loss_bbox: 0.249288 loss_dfl: 0.180717 loss: 1.175806 eta: 17:29:41 batch_cost: 2.3543 data_cost: 0.0014 ips: 23.7864 images/s [10/17 17:45:20] ppdet.engine INFO: Epoch: [248] [440/523] learning_rate: 0.028021 loss_vfl: 0.739685 loss_bbox: 0.264552 loss_dfl: 0.182847 loss: 1.182136 eta: 17:28:54 batch_cost: 2.3547 data_cost: 0.0021 ips: 23.7823 images/s [10/17 17:46:10] ppdet.engine INFO: Epoch: [248] [460/523] learning_rate: 0.027980 loss_vfl: 0.736935 loss_bbox: 0.259506 loss_dfl: 0.177142 loss: 1.181478 eta: 17:28:07 batch_cost: 2.3767 data_cost: 0.0013 ips: 23.5618 images/s [10/17 17:47:00] ppdet.engine INFO: Epoch: [248] [480/523] learning_rate: 0.027939 loss_vfl: 0.732684 loss_bbox: 0.254061 loss_dfl: 0.177181 loss: 1.161884 eta: 17:27:20 batch_cost: 2.3880 data_cost: 0.0013 ips: 23.4510 images/s [10/17 17:47:49] ppdet.engine INFO: Epoch: [248] [500/523] learning_rate: 0.027898 loss_vfl: 0.728261 loss_bbox: 0.265945 loss_dfl: 0.183281 loss: 1.180165 eta: 17:26:33 batch_cost: 2.3411 data_cost: 0.0013 ips: 23.9208 images/s [10/17 17:48:32] ppdet.engine INFO: Epoch: [248] [520/523] learning_rate: 0.027858 loss_vfl: 0.733317 loss_bbox: 0.260208 loss_dfl: 0.178709 loss: 1.170218 eta: 17:25:45 batch_cost: 2.0516 data_cost: 0.0013 ips: 27.2962 images/s [10/17 17:49:01] ppdet.engine INFO: Epoch: [249] [ 0/523] learning_rate: 0.027852 loss_vfl: 0.733317 loss_bbox: 0.252161 loss_dfl: 0.176875 loss: 1.160735 eta: 17:25:42 batch_cost: 2.9268 data_cost: 0.5526 ips: 19.1336 images/s [10/17 17:49:54] ppdet.engine INFO: Epoch: [249] [ 20/523] learning_rate: 0.027811 loss_vfl: 0.719480 loss_bbox: 0.272011 loss_dfl: 0.186195 loss: 1.163473 eta: 17:24:55 batch_cost: 2.5484 data_cost: 0.0014 ips: 21.9746 images/s [10/17 17:50:45] ppdet.engine INFO: Epoch: [249] [ 40/523] learning_rate: 0.027770 loss_vfl: 0.723977 loss_bbox: 0.256130 loss_dfl: 0.180173 loss: 1.175060 eta: 17:24:09 batch_cost: 2.4147 data_cost: 0.0015 ips: 23.1917 images/s [10/17 17:51:35] ppdet.engine INFO: Epoch: [249] [ 60/523] learning_rate: 0.027729 loss_vfl: 0.725484 loss_bbox: 0.259344 loss_dfl: 0.179802 loss: 1.176748 eta: 17:23:22 batch_cost: 2.3760 data_cost: 0.0014 ips: 23.5693 images/s [10/17 17:52:24] ppdet.engine INFO: Epoch: [249] [ 80/523] learning_rate: 0.027689 loss_vfl: 0.737589 loss_bbox: 0.248058 loss_dfl: 0.174715 loss: 1.180875 eta: 17:22:35 batch_cost: 2.3448 data_cost: 0.0013 ips: 23.8823 images/s [10/17 17:53:13] ppdet.engine INFO: Epoch: [249] [100/523] learning_rate: 0.027648 loss_vfl: 0.743201 loss_bbox: 0.263067 loss_dfl: 0.180366 loss: 1.198826 eta: 17:21:48 batch_cost: 2.3440 data_cost: 0.0023 ips: 23.8910 images/s [10/17 17:54:01] ppdet.engine INFO: Epoch: [249] [120/523] learning_rate: 0.027607 loss_vfl: 0.730307 loss_bbox: 0.253502 loss_dfl: 0.178492 loss: 1.188919 eta: 17:21:00 batch_cost: 2.3105 data_cost: 0.0014 ips: 24.2368 images/s [10/17 17:54:51] ppdet.engine INFO: Epoch: [249] [140/523] learning_rate: 0.027567 loss_vfl: 0.718330 loss_bbox: 0.262695 loss_dfl: 0.176129 loss: 1.162938 eta: 17:20:13 batch_cost: 2.3914 data_cost: 0.0015 ips: 23.4174 images/s [10/17 17:55:41] ppdet.engine INFO: Epoch: [249] [160/523] learning_rate: 0.027526 loss_vfl: 0.727425 loss_bbox: 0.266070 loss_dfl: 0.177408 loss: 1.171196 eta: 17:19:27 batch_cost: 2.3990 data_cost: 0.0015 ips: 23.3427 images/s [10/17 17:56:31] ppdet.engine INFO: Epoch: [249] [180/523] learning_rate: 0.027486 loss_vfl: 0.731721 loss_bbox: 0.263038 loss_dfl: 0.185057 loss: 1.178584 eta: 17:18:40 batch_cost: 2.3877 data_cost: 0.0020 ips: 23.4535 images/s [10/17 17:57:21] ppdet.engine INFO: Epoch: [249] [200/523] learning_rate: 0.027445 loss_vfl: 0.725156 loss_bbox: 0.272418 loss_dfl: 0.180436 loss: 1.190876 eta: 17:17:53 batch_cost: 2.4006 data_cost: 0.0014 ips: 23.3279 images/s [10/17 17:58:10] ppdet.engine INFO: Epoch: [249] [220/523] learning_rate: 0.027405 loss_vfl: 0.716052 loss_bbox: 0.276142 loss_dfl: 0.181433 loss: 1.175555 eta: 17:17:06 batch_cost: 2.3485 data_cost: 0.0026 ips: 23.8448 images/s [10/17 17:59:02] ppdet.engine INFO: Epoch: [249] [240/523] learning_rate: 0.027364 loss_vfl: 0.724794 loss_bbox: 0.257217 loss_dfl: 0.178870 loss: 1.161049 eta: 17:16:19 batch_cost: 2.4908 data_cost: 0.0013 ips: 22.4825 images/s [10/17 17:59:54] ppdet.engine INFO: Epoch: [249] [260/523] learning_rate: 0.027324 loss_vfl: 0.734448 loss_bbox: 0.255579 loss_dfl: 0.178083 loss: 1.170060 eta: 17:15:33 batch_cost: 2.4685 data_cost: 0.0013 ips: 22.6856 images/s [10/17 18:00:43] ppdet.engine INFO: Epoch: [249] [280/523] learning_rate: 0.027284 loss_vfl: 0.732879 loss_bbox: 0.256350 loss_dfl: 0.180539 loss: 1.180882 eta: 17:14:46 batch_cost: 2.3745 data_cost: 0.0014 ips: 23.5843 images/s [10/17 18:01:32] ppdet.engine INFO: Epoch: [249] [300/523] learning_rate: 0.027243 loss_vfl: 0.725877 loss_bbox: 0.279386 loss_dfl: 0.184763 loss: 1.194498 eta: 17:13:59 batch_cost: 2.3473 data_cost: 0.0013 ips: 23.8572 images/s [10/17 18:02:20] ppdet.engine INFO: Epoch: [249] [320/523] learning_rate: 0.027203 loss_vfl: 0.711372 loss_bbox: 0.255458 loss_dfl: 0.179070 loss: 1.145395 eta: 17:13:11 batch_cost: 2.2608 data_cost: 0.0013 ips: 24.7700 images/s [10/17 18:03:09] ppdet.engine INFO: Epoch: [249] [340/523] learning_rate: 0.027163 loss_vfl: 0.735023 loss_bbox: 0.266487 loss_dfl: 0.177190 loss: 1.201293 eta: 17:12:24 batch_cost: 2.3296 data_cost: 0.0013 ips: 24.0383 images/s [10/17 18:03:58] ppdet.engine INFO: Epoch: [249] [360/523] learning_rate: 0.027122 loss_vfl: 0.749250 loss_bbox: 0.257787 loss_dfl: 0.178550 loss: 1.199710 eta: 17:11:37 batch_cost: 2.3330 data_cost: 0.0015 ips: 24.0033 images/s [10/17 18:04:46] ppdet.engine INFO: Epoch: [249] [380/523] learning_rate: 0.027082 loss_vfl: 0.726615 loss_bbox: 0.265546 loss_dfl: 0.183774 loss: 1.175382 eta: 17:10:50 batch_cost: 2.3429 data_cost: 0.0013 ips: 23.9016 images/s [10/17 18:05:35] ppdet.engine INFO: Epoch: [249] [400/523] learning_rate: 0.027042 loss_vfl: 0.732607 loss_bbox: 0.277179 loss_dfl: 0.184586 loss: 1.210728 eta: 17:10:03 batch_cost: 2.3218 data_cost: 0.0013 ips: 24.1192 images/s [10/17 18:06:24] ppdet.engine INFO: Epoch: [249] [420/523] learning_rate: 0.027002 loss_vfl: 0.726478 loss_bbox: 0.267494 loss_dfl: 0.192746 loss: 1.176815 eta: 17:09:16 batch_cost: 2.3282 data_cost: 0.0013 ips: 24.0533 images/s [10/17 18:07:13] ppdet.engine INFO: Epoch: [249] [440/523] learning_rate: 0.026961 loss_vfl: 0.715315 loss_bbox: 0.253434 loss_dfl: 0.178111 loss: 1.159297 eta: 17:08:29 batch_cost: 2.3338 data_cost: 0.0013 ips: 23.9950 images/s [10/17 18:08:03] ppdet.engine INFO: Epoch: [249] [460/523] learning_rate: 0.026921 loss_vfl: 0.736893 loss_bbox: 0.271246 loss_dfl: 0.181214 loss: 1.195668 eta: 17:07:42 batch_cost: 2.4158 data_cost: 0.0020 ips: 23.1805 images/s [10/17 18:08:53] ppdet.engine INFO: Epoch: [249] [480/523] learning_rate: 0.026881 loss_vfl: 0.733364 loss_bbox: 0.259773 loss_dfl: 0.181269 loss: 1.167412 eta: 17:06:55 batch_cost: 2.3600 data_cost: 0.0014 ips: 23.7284 images/s [10/17 18:09:41] ppdet.engine INFO: Epoch: [249] [500/523] learning_rate: 0.026841 loss_vfl: 0.726630 loss_bbox: 0.245712 loss_dfl: 0.169516 loss: 1.148247 eta: 17:06:08 batch_cost: 2.3177 data_cost: 0.0013 ips: 24.1616 images/s [10/17 18:10:24] ppdet.engine INFO: Epoch: [249] [520/523] learning_rate: 0.026801 loss_vfl: 0.737599 loss_bbox: 0.271271 loss_dfl: 0.184477 loss: 1.179681 eta: 17:05:19 batch_cost: 2.0192 data_cost: 0.0013 ips: 27.7334 images/s [10/17 18:10:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 18:10:33] ppdet.engine INFO: Eval iter: 0 [10/17 18:11:12] ppdet.engine INFO: Eval iter: 100 [10/17 18:11:32] ppdet.engine INFO: Eval iter: 200 [10/17 18:11:51] ppdet.engine INFO: Eval iter: 300 [10/17 18:12:10] ppdet.engine INFO: Eval iter: 400 [10/17 18:12:30] ppdet.engine INFO: Eval iter: 500 [10/17 18:12:49] ppdet.engine INFO: Eval iter: 600 [10/17 18:13:10] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.71s) creating index... index created! [10/17 18:13:10] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.34s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.02s). Accumulating evaluation results... DONE (t=18.33s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.359 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.519 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 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 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.304 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.514 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 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.744 [10/17 18:15:17] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.808447304574855 [10/17 18:15:17] ppdet.engine INFO: Best test bbox ap is 0.363. [10/17 18:15:19] ppdet.engine INFO: Epoch: [250] [ 0/523] learning_rate: 0.026795 loss_vfl: 0.738033 loss_bbox: 0.270370 loss_dfl: 0.183257 loss: 1.179681 eta: 17:05:12 batch_cost: 1.9699 data_cost: 0.0013 ips: 28.4283 images/s [10/17 18:16:12] ppdet.engine INFO: Epoch: [250] [ 20/523] learning_rate: 0.026755 loss_vfl: 0.709596 loss_bbox: 0.254896 loss_dfl: 0.170249 loss: 1.130422 eta: 17:04:25 batch_cost: 2.5015 data_cost: 0.0013 ips: 22.3862 images/s [10/17 18:17:02] ppdet.engine INFO: Epoch: [250] [ 40/523] learning_rate: 0.026715 loss_vfl: 0.729267 loss_bbox: 0.266238 loss_dfl: 0.183374 loss: 1.192200 eta: 17:03:39 batch_cost: 2.4248 data_cost: 0.0013 ips: 23.0948 images/s [10/17 18:17:53] ppdet.engine INFO: Epoch: [250] [ 60/523] learning_rate: 0.026675 loss_vfl: 0.726826 loss_bbox: 0.258321 loss_dfl: 0.171448 loss: 1.152066 eta: 17:02:52 batch_cost: 2.4158 data_cost: 0.0014 ips: 23.1808 images/s [10/17 18:18:44] ppdet.engine INFO: Epoch: [250] [ 80/523] learning_rate: 0.026635 loss_vfl: 0.715542 loss_bbox: 0.274036 loss_dfl: 0.179068 loss: 1.173854 eta: 17:02:05 batch_cost: 2.4248 data_cost: 0.0013 ips: 23.0950 images/s [10/17 18:19:33] ppdet.engine INFO: Epoch: [250] [100/523] learning_rate: 0.026595 loss_vfl: 0.725585 loss_bbox: 0.268268 loss_dfl: 0.187546 loss: 1.191399 eta: 17:01:18 batch_cost: 2.3601 data_cost: 0.0013 ips: 23.7275 images/s [10/17 18:20:22] ppdet.engine INFO: Epoch: [250] [120/523] learning_rate: 0.026555 loss_vfl: 0.726643 loss_bbox: 0.288049 loss_dfl: 0.186371 loss: 1.189174 eta: 17:00:31 batch_cost: 2.3383 data_cost: 0.0019 ips: 23.9491 images/s [10/17 18:21:10] ppdet.engine INFO: Epoch: [250] [140/523] learning_rate: 0.026515 loss_vfl: 0.737426 loss_bbox: 0.250271 loss_dfl: 0.173363 loss: 1.157900 eta: 16:59:44 batch_cost: 2.3259 data_cost: 0.0012 ips: 24.0762 images/s [10/17 18:21:59] ppdet.engine INFO: Epoch: [250] [160/523] learning_rate: 0.026475 loss_vfl: 0.740168 loss_bbox: 0.260683 loss_dfl: 0.187737 loss: 1.198205 eta: 16:58:57 batch_cost: 2.3416 data_cost: 0.0013 ips: 23.9149 images/s [10/17 18:22:48] ppdet.engine INFO: Epoch: [250] [180/523] learning_rate: 0.026436 loss_vfl: 0.715094 loss_bbox: 0.277993 loss_dfl: 0.176048 loss: 1.181703 eta: 16:58:10 batch_cost: 2.3636 data_cost: 0.0013 ips: 23.6923 images/s [10/17 18:23:37] ppdet.engine INFO: Epoch: [250] [200/523] learning_rate: 0.026396 loss_vfl: 0.722259 loss_bbox: 0.248522 loss_dfl: 0.174178 loss: 1.135201 eta: 16:57:23 batch_cost: 2.3293 data_cost: 0.0013 ips: 24.0415 images/s [10/17 18:24:27] ppdet.engine INFO: Epoch: [250] [220/523] learning_rate: 0.026356 loss_vfl: 0.726300 loss_bbox: 0.252522 loss_dfl: 0.173163 loss: 1.174711 eta: 16:56:36 batch_cost: 2.3810 data_cost: 0.0013 ips: 23.5200 images/s [10/17 18:25:16] ppdet.engine INFO: Epoch: [250] [240/523] learning_rate: 0.026316 loss_vfl: 0.721703 loss_bbox: 0.267089 loss_dfl: 0.181001 loss: 1.180140 eta: 16:55:48 batch_cost: 2.2920 data_cost: 0.0013 ips: 24.4327 images/s [10/17 18:26:04] ppdet.engine INFO: Epoch: [250] [260/523] learning_rate: 0.026277 loss_vfl: 0.708416 loss_bbox: 0.255201 loss_dfl: 0.180097 loss: 1.155316 eta: 16:55:01 batch_cost: 2.3207 data_cost: 0.0013 ips: 24.1309 images/s [10/17 18:26:53] ppdet.engine INFO: Epoch: [250] [280/523] learning_rate: 0.026237 loss_vfl: 0.728062 loss_bbox: 0.256154 loss_dfl: 0.184209 loss: 1.176848 eta: 16:54:14 batch_cost: 2.3650 data_cost: 0.0013 ips: 23.6787 images/s [10/17 18:27:43] ppdet.engine INFO: Epoch: [250] [300/523] learning_rate: 0.026197 loss_vfl: 0.735776 loss_bbox: 0.257574 loss_dfl: 0.180518 loss: 1.174568 eta: 16:53:27 batch_cost: 2.3695 data_cost: 0.0013 ips: 23.6339 images/s [10/17 18:28:34] ppdet.engine INFO: Epoch: [250] [320/523] learning_rate: 0.026158 loss_vfl: 0.734632 loss_bbox: 0.260758 loss_dfl: 0.176932 loss: 1.187873 eta: 16:52:41 batch_cost: 2.4582 data_cost: 0.0014 ips: 22.7804 images/s [10/17 18:29:24] ppdet.engine INFO: Epoch: [250] [340/523] learning_rate: 0.026118 loss_vfl: 0.728222 loss_bbox: 0.261109 loss_dfl: 0.173009 loss: 1.165916 eta: 16:51:54 batch_cost: 2.3408 data_cost: 0.0013 ips: 23.9237 images/s [10/17 18:30:13] ppdet.engine INFO: Epoch: [250] [360/523] learning_rate: 0.026079 loss_vfl: 0.725246 loss_bbox: 0.274046 loss_dfl: 0.180172 loss: 1.168601 eta: 16:51:06 batch_cost: 2.3335 data_cost: 0.0013 ips: 23.9988 images/s [10/17 18:31:02] ppdet.engine INFO: Epoch: [250] [380/523] learning_rate: 0.026039 loss_vfl: 0.728684 loss_bbox: 0.258386 loss_dfl: 0.179627 loss: 1.179506 eta: 16:50:19 batch_cost: 2.3067 data_cost: 0.0014 ips: 24.2771 images/s [10/17 18:31:50] ppdet.engine INFO: Epoch: [250] [400/523] learning_rate: 0.026000 loss_vfl: 0.733151 loss_bbox: 0.258239 loss_dfl: 0.178390 loss: 1.152511 eta: 16:49:32 batch_cost: 2.3183 data_cost: 0.0025 ips: 24.1556 images/s [10/17 18:32:39] ppdet.engine INFO: Epoch: [250] [420/523] learning_rate: 0.025960 loss_vfl: 0.740972 loss_bbox: 0.267035 loss_dfl: 0.181494 loss: 1.194097 eta: 16:48:45 batch_cost: 2.3517 data_cost: 0.0013 ips: 23.8126 images/s [10/17 18:33:28] ppdet.engine INFO: Epoch: [250] [440/523] learning_rate: 0.025921 loss_vfl: 0.744113 loss_bbox: 0.272638 loss_dfl: 0.194681 loss: 1.210384 eta: 16:47:58 batch_cost: 2.3008 data_cost: 0.0021 ips: 24.3391 images/s [10/17 18:34:18] ppdet.engine INFO: Epoch: [250] [460/523] learning_rate: 0.025881 loss_vfl: 0.746672 loss_bbox: 0.252980 loss_dfl: 0.184217 loss: 1.169512 eta: 16:47:11 batch_cost: 2.3880 data_cost: 0.0014 ips: 23.4510 images/s [10/17 18:35:10] ppdet.engine INFO: Epoch: [250] [480/523] learning_rate: 0.025842 loss_vfl: 0.738671 loss_bbox: 0.262668 loss_dfl: 0.175654 loss: 1.153984 eta: 16:46:24 batch_cost: 2.5027 data_cost: 0.0013 ips: 22.3755 images/s [10/17 18:35:59] ppdet.engine INFO: Epoch: [250] [500/523] learning_rate: 0.025802 loss_vfl: 0.746988 loss_bbox: 0.267722 loss_dfl: 0.174014 loss: 1.176943 eta: 16:45:37 batch_cost: 2.3117 data_cost: 0.0020 ips: 24.2251 images/s [10/17 18:36:41] ppdet.engine INFO: Epoch: [250] [520/523] learning_rate: 0.025763 loss_vfl: 0.729035 loss_bbox: 0.250740 loss_dfl: 0.178835 loss: 1.172426 eta: 16:44:49 batch_cost: 1.9961 data_cost: 0.0013 ips: 28.0545 images/s [10/17 18:37:14] ppdet.engine INFO: Epoch: [251] [ 0/523] learning_rate: 0.025757 loss_vfl: 0.715173 loss_bbox: 0.250740 loss_dfl: 0.178835 loss: 1.172426 eta: 16:44:46 batch_cost: 3.1251 data_cost: 0.8341 ips: 17.9194 images/s [10/17 18:38:03] ppdet.engine INFO: Epoch: [251] [ 20/523] learning_rate: 0.025718 loss_vfl: 0.728052 loss_bbox: 0.257270 loss_dfl: 0.179339 loss: 1.164064 eta: 16:43:59 batch_cost: 2.3658 data_cost: 0.0019 ips: 23.6710 images/s [10/17 18:38:53] ppdet.engine INFO: Epoch: [251] [ 40/523] learning_rate: 0.025679 loss_vfl: 0.711702 loss_bbox: 0.255673 loss_dfl: 0.174967 loss: 1.166775 eta: 16:43:12 batch_cost: 2.4003 data_cost: 0.0026 ips: 23.3306 images/s [10/17 18:39:43] ppdet.engine INFO: Epoch: [251] [ 60/523] learning_rate: 0.025639 loss_vfl: 0.729764 loss_bbox: 0.258051 loss_dfl: 0.180863 loss: 1.182205 eta: 16:42:25 batch_cost: 2.3578 data_cost: 0.0014 ips: 23.7513 images/s [10/17 18:40:31] ppdet.engine INFO: Epoch: [251] [ 80/523] learning_rate: 0.025600 loss_vfl: 0.734797 loss_bbox: 0.255086 loss_dfl: 0.178284 loss: 1.167084 eta: 16:41:38 batch_cost: 2.2894 data_cost: 0.0015 ips: 24.4607 images/s [10/17 18:41:19] ppdet.engine INFO: Epoch: [251] [100/523] learning_rate: 0.025561 loss_vfl: 0.734733 loss_bbox: 0.260431 loss_dfl: 0.179752 loss: 1.174866 eta: 16:40:51 batch_cost: 2.3258 data_cost: 0.0028 ips: 24.0773 images/s [10/17 18:42:07] ppdet.engine INFO: Epoch: [251] [120/523] learning_rate: 0.025522 loss_vfl: 0.743530 loss_bbox: 0.253913 loss_dfl: 0.175663 loss: 1.175093 eta: 16:40:03 batch_cost: 2.2935 data_cost: 0.0020 ips: 24.4168 images/s [10/17 18:42:56] ppdet.engine INFO: Epoch: [251] [140/523] learning_rate: 0.025483 loss_vfl: 0.741219 loss_bbox: 0.260487 loss_dfl: 0.185057 loss: 1.190473 eta: 16:39:16 batch_cost: 2.3189 data_cost: 0.0024 ips: 24.1490 images/s [10/17 18:43:44] ppdet.engine INFO: Epoch: [251] [160/523] learning_rate: 0.025444 loss_vfl: 0.737066 loss_bbox: 0.270327 loss_dfl: 0.182553 loss: 1.203848 eta: 16:38:29 batch_cost: 2.3166 data_cost: 0.0013 ips: 24.1731 images/s [10/17 18:44:33] ppdet.engine INFO: Epoch: [251] [180/523] learning_rate: 0.025405 loss_vfl: 0.749609 loss_bbox: 0.261968 loss_dfl: 0.182264 loss: 1.176555 eta: 16:37:42 batch_cost: 2.3524 data_cost: 0.0013 ips: 23.8059 images/s [10/17 18:45:21] ppdet.engine INFO: Epoch: [251] [200/523] learning_rate: 0.025365 loss_vfl: 0.728398 loss_bbox: 0.274003 loss_dfl: 0.187813 loss: 1.185309 eta: 16:36:55 batch_cost: 2.2748 data_cost: 0.0013 ips: 24.6171 images/s [10/17 18:46:10] ppdet.engine INFO: Epoch: [251] [220/523] learning_rate: 0.025326 loss_vfl: 0.729766 loss_bbox: 0.255002 loss_dfl: 0.174365 loss: 1.150426 eta: 16:36:08 batch_cost: 2.3506 data_cost: 0.0013 ips: 23.8240 images/s [10/17 18:47:00] ppdet.engine INFO: Epoch: [251] [240/523] learning_rate: 0.025287 loss_vfl: 0.725006 loss_bbox: 0.266646 loss_dfl: 0.182963 loss: 1.189437 eta: 16:35:21 batch_cost: 2.3767 data_cost: 0.0013 ips: 23.5617 images/s [10/17 18:47:50] ppdet.engine INFO: Epoch: [251] [260/523] learning_rate: 0.025248 loss_vfl: 0.722701 loss_bbox: 0.258266 loss_dfl: 0.175602 loss: 1.158551 eta: 16:34:34 batch_cost: 2.4159 data_cost: 0.0014 ips: 23.1793 images/s [10/17 18:48:39] ppdet.engine INFO: Epoch: [251] [280/523] learning_rate: 0.025210 loss_vfl: 0.733699 loss_bbox: 0.251762 loss_dfl: 0.173088 loss: 1.165876 eta: 16:33:47 batch_cost: 2.3293 data_cost: 0.0019 ips: 24.0413 images/s [10/17 18:49:28] ppdet.engine INFO: Epoch: [251] [300/523] learning_rate: 0.025171 loss_vfl: 0.720234 loss_bbox: 0.269243 loss_dfl: 0.183761 loss: 1.175714 eta: 16:33:00 batch_cost: 2.3320 data_cost: 0.0012 ips: 24.0141 images/s [10/17 18:50:16] ppdet.engine INFO: Epoch: [251] [320/523] learning_rate: 0.025132 loss_vfl: 0.719325 loss_bbox: 0.275883 loss_dfl: 0.180478 loss: 1.192290 eta: 16:32:12 batch_cost: 2.3094 data_cost: 0.0018 ips: 24.2487 images/s [10/17 18:51:06] ppdet.engine INFO: Epoch: [251] [340/523] learning_rate: 0.025093 loss_vfl: 0.737344 loss_bbox: 0.236747 loss_dfl: 0.170886 loss: 1.143044 eta: 16:31:25 batch_cost: 2.3634 data_cost: 0.0020 ips: 23.6948 images/s [10/17 18:51:55] ppdet.engine INFO: Epoch: [251] [360/523] learning_rate: 0.025054 loss_vfl: 0.719068 loss_bbox: 0.264278 loss_dfl: 0.180375 loss: 1.155915 eta: 16:30:38 batch_cost: 2.3576 data_cost: 0.0027 ips: 23.7529 images/s [10/17 18:52:44] ppdet.engine INFO: Epoch: [251] [380/523] learning_rate: 0.025015 loss_vfl: 0.731531 loss_bbox: 0.253034 loss_dfl: 0.175828 loss: 1.157577 eta: 16:29:51 batch_cost: 2.3401 data_cost: 0.0013 ips: 23.9303 images/s [10/17 18:53:33] ppdet.engine INFO: Epoch: [251] [400/523] learning_rate: 0.024976 loss_vfl: 0.722578 loss_bbox: 0.270626 loss_dfl: 0.185641 loss: 1.198937 eta: 16:29:04 batch_cost: 2.3264 data_cost: 0.0013 ips: 24.0719 images/s [10/17 18:54:21] ppdet.engine INFO: Epoch: [251] [420/523] learning_rate: 0.024938 loss_vfl: 0.741219 loss_bbox: 0.245173 loss_dfl: 0.176261 loss: 1.178480 eta: 16:28:17 batch_cost: 2.2859 data_cost: 0.0019 ips: 24.4978 images/s [10/17 18:55:08] ppdet.engine INFO: Epoch: [251] [440/523] learning_rate: 0.024899 loss_vfl: 0.718167 loss_bbox: 0.261902 loss_dfl: 0.181732 loss: 1.168984 eta: 16:27:29 batch_cost: 2.2818 data_cost: 0.0032 ips: 24.5416 images/s [10/17 18:55:56] ppdet.engine INFO: Epoch: [251] [460/523] learning_rate: 0.024860 loss_vfl: 0.732228 loss_bbox: 0.263499 loss_dfl: 0.184142 loss: 1.195358 eta: 16:26:42 batch_cost: 2.2745 data_cost: 0.0016 ips: 24.6209 images/s [10/17 18:56:45] ppdet.engine INFO: Epoch: [251] [480/523] learning_rate: 0.024822 loss_vfl: 0.734683 loss_bbox: 0.258015 loss_dfl: 0.180811 loss: 1.180300 eta: 16:25:55 batch_cost: 2.3264 data_cost: 0.0014 ips: 24.0713 images/s [10/17 18:57:33] ppdet.engine INFO: Epoch: [251] [500/523] learning_rate: 0.024783 loss_vfl: 0.734276 loss_bbox: 0.261430 loss_dfl: 0.180159 loss: 1.165282 eta: 16:25:08 batch_cost: 2.2914 data_cost: 0.0013 ips: 24.4397 images/s [10/17 18:58:15] ppdet.engine INFO: Epoch: [251] [520/523] learning_rate: 0.024744 loss_vfl: 0.738803 loss_bbox: 0.272183 loss_dfl: 0.183952 loss: 1.185650 eta: 16:24:19 batch_cost: 2.0121 data_cost: 0.0013 ips: 27.8310 images/s [10/17 18:58:47] ppdet.engine INFO: Epoch: [252] [ 0/523] learning_rate: 0.024739 loss_vfl: 0.737275 loss_bbox: 0.261847 loss_dfl: 0.178148 loss: 1.167495 eta: 16:24:16 batch_cost: 3.0867 data_cost: 0.7749 ips: 18.1424 images/s [10/17 18:59:36] ppdet.engine INFO: Epoch: [252] [ 20/523] learning_rate: 0.024700 loss_vfl: 0.722263 loss_bbox: 0.281618 loss_dfl: 0.183267 loss: 1.169160 eta: 16:23:29 batch_cost: 2.3314 data_cost: 0.0012 ips: 24.0195 images/s [10/17 19:00:26] ppdet.engine INFO: Epoch: [252] [ 40/523] learning_rate: 0.024662 loss_vfl: 0.731942 loss_bbox: 0.262401 loss_dfl: 0.179813 loss: 1.179000 eta: 16:22:42 batch_cost: 2.4017 data_cost: 0.0013 ips: 23.3164 images/s [10/17 19:01:16] ppdet.engine INFO: Epoch: [252] [ 60/523] learning_rate: 0.024623 loss_vfl: 0.707249 loss_bbox: 0.258760 loss_dfl: 0.173660 loss: 1.143611 eta: 16:21:55 batch_cost: 2.4013 data_cost: 0.0013 ips: 23.3205 images/s [10/17 19:02:04] ppdet.engine INFO: Epoch: [252] [ 80/523] learning_rate: 0.024585 loss_vfl: 0.720548 loss_bbox: 0.261754 loss_dfl: 0.178590 loss: 1.158859 eta: 16:21:08 batch_cost: 2.2997 data_cost: 0.0020 ips: 24.3508 images/s [10/17 19:02:53] ppdet.engine INFO: Epoch: [252] [100/523] learning_rate: 0.024546 loss_vfl: 0.728312 loss_bbox: 0.264271 loss_dfl: 0.185209 loss: 1.178231 eta: 16:20:21 batch_cost: 2.3117 data_cost: 0.0012 ips: 24.2246 images/s [10/17 19:03:41] ppdet.engine INFO: Epoch: [252] [120/523] learning_rate: 0.024508 loss_vfl: 0.734234 loss_bbox: 0.260449 loss_dfl: 0.180801 loss: 1.178918 eta: 16:19:34 batch_cost: 2.2793 data_cost: 0.0016 ips: 24.5690 images/s [10/17 19:04:30] ppdet.engine INFO: Epoch: [252] [140/523] learning_rate: 0.024469 loss_vfl: 0.718729 loss_bbox: 0.257815 loss_dfl: 0.178822 loss: 1.161503 eta: 16:18:47 batch_cost: 2.3449 data_cost: 0.0012 ips: 23.8814 images/s [10/17 19:05:18] ppdet.engine INFO: Epoch: [252] [160/523] learning_rate: 0.024431 loss_vfl: 0.720368 loss_bbox: 0.263833 loss_dfl: 0.180726 loss: 1.149912 eta: 16:18:00 batch_cost: 2.3339 data_cost: 0.0012 ips: 23.9941 images/s [10/17 19:06:07] ppdet.engine INFO: Epoch: [252] [180/523] learning_rate: 0.024393 loss_vfl: 0.712256 loss_bbox: 0.262048 loss_dfl: 0.176498 loss: 1.157507 eta: 16:17:12 batch_cost: 2.3076 data_cost: 0.0013 ips: 24.2679 images/s [10/17 19:06:55] ppdet.engine INFO: Epoch: [252] [200/523] learning_rate: 0.024354 loss_vfl: 0.726756 loss_bbox: 0.262696 loss_dfl: 0.185104 loss: 1.159110 eta: 16:16:25 batch_cost: 2.3122 data_cost: 0.0012 ips: 24.2197 images/s [10/17 19:07:45] ppdet.engine INFO: Epoch: [252] [220/523] learning_rate: 0.024316 loss_vfl: 0.709293 loss_bbox: 0.258235 loss_dfl: 0.180717 loss: 1.164901 eta: 16:15:38 batch_cost: 2.3632 data_cost: 0.0013 ips: 23.6967 images/s [10/17 19:08:33] ppdet.engine INFO: Epoch: [252] [240/523] learning_rate: 0.024278 loss_vfl: 0.723974 loss_bbox: 0.259694 loss_dfl: 0.175963 loss: 1.165258 eta: 16:14:51 batch_cost: 2.2892 data_cost: 0.0020 ips: 24.4626 images/s [10/17 19:09:22] ppdet.engine INFO: Epoch: [252] [260/523] learning_rate: 0.024239 loss_vfl: 0.719048 loss_bbox: 0.270052 loss_dfl: 0.181474 loss: 1.162490 eta: 16:14:04 batch_cost: 2.3568 data_cost: 0.0142 ips: 23.7605 images/s [10/17 19:10:13] ppdet.engine INFO: Epoch: [252] [280/523] learning_rate: 0.024201 loss_vfl: 0.726150 loss_bbox: 0.267928 loss_dfl: 0.186491 loss: 1.169490 eta: 16:13:17 batch_cost: 2.4041 data_cost: 0.0018 ips: 23.2935 images/s [10/17 19:11:04] ppdet.engine INFO: Epoch: [252] [300/523] learning_rate: 0.024163 loss_vfl: 0.716360 loss_bbox: 0.258023 loss_dfl: 0.178191 loss: 1.146176 eta: 16:12:30 batch_cost: 2.4577 data_cost: 0.0038 ips: 22.7852 images/s [10/17 19:11:53] ppdet.engine INFO: Epoch: [252] [320/523] learning_rate: 0.024125 loss_vfl: 0.724698 loss_bbox: 0.248153 loss_dfl: 0.172512 loss: 1.138943 eta: 16:11:43 batch_cost: 2.3558 data_cost: 0.0029 ips: 23.7707 images/s [10/17 19:12:42] ppdet.engine INFO: Epoch: [252] [340/523] learning_rate: 0.024087 loss_vfl: 0.727216 loss_bbox: 0.257290 loss_dfl: 0.178394 loss: 1.170825 eta: 16:10:56 batch_cost: 2.3184 data_cost: 0.0013 ips: 24.1544 images/s [10/17 19:13:30] ppdet.engine INFO: Epoch: [252] [360/523] learning_rate: 0.024049 loss_vfl: 0.735280 loss_bbox: 0.263402 loss_dfl: 0.183232 loss: 1.179233 eta: 16:10:09 batch_cost: 2.2978 data_cost: 0.0031 ips: 24.3709 images/s [10/17 19:14:18] ppdet.engine INFO: Epoch: [252] [380/523] learning_rate: 0.024011 loss_vfl: 0.727316 loss_bbox: 0.253921 loss_dfl: 0.175954 loss: 1.168912 eta: 16:09:22 batch_cost: 2.3334 data_cost: 0.0013 ips: 23.9997 images/s [10/17 19:15:07] ppdet.engine INFO: Epoch: [252] [400/523] learning_rate: 0.023973 loss_vfl: 0.726922 loss_bbox: 0.273282 loss_dfl: 0.184984 loss: 1.190073 eta: 16:08:35 batch_cost: 2.3483 data_cost: 0.0013 ips: 23.8467 images/s [10/17 19:15:56] ppdet.engine INFO: Epoch: [252] [420/523] learning_rate: 0.023935 loss_vfl: 0.741749 loss_bbox: 0.266858 loss_dfl: 0.186968 loss: 1.203371 eta: 16:07:48 batch_cost: 2.3434 data_cost: 0.0013 ips: 23.8965 images/s [10/17 19:16:45] ppdet.engine INFO: Epoch: [252] [440/523] learning_rate: 0.023897 loss_vfl: 0.733480 loss_bbox: 0.265274 loss_dfl: 0.191758 loss: 1.199880 eta: 16:07:00 batch_cost: 2.3184 data_cost: 0.0027 ips: 24.1549 images/s [10/17 19:17:33] ppdet.engine INFO: Epoch: [252] [460/523] learning_rate: 0.023859 loss_vfl: 0.723463 loss_bbox: 0.251968 loss_dfl: 0.175288 loss: 1.146454 eta: 16:06:13 batch_cost: 2.3143 data_cost: 0.0013 ips: 24.1975 images/s [10/17 19:18:24] ppdet.engine INFO: Epoch: [252] [480/523] learning_rate: 0.023821 loss_vfl: 0.735796 loss_bbox: 0.250804 loss_dfl: 0.174755 loss: 1.156495 eta: 16:05:26 batch_cost: 2.4317 data_cost: 0.0025 ips: 23.0290 images/s [10/17 19:19:12] ppdet.engine INFO: Epoch: [252] [500/523] learning_rate: 0.023783 loss_vfl: 0.735160 loss_bbox: 0.252603 loss_dfl: 0.179151 loss: 1.163960 eta: 16:04:39 batch_cost: 2.2918 data_cost: 0.0012 ips: 24.4352 images/s [10/17 19:19:55] ppdet.engine INFO: Epoch: [252] [520/523] learning_rate: 0.023745 loss_vfl: 0.729805 loss_bbox: 0.257730 loss_dfl: 0.177284 loss: 1.173011 eta: 16:03:51 batch_cost: 2.0162 data_cost: 0.0013 ips: 27.7756 images/s [10/17 19:20:24] ppdet.engine INFO: Epoch: [253] [ 0/523] learning_rate: 0.023739 loss_vfl: 0.719990 loss_bbox: 0.263227 loss_dfl: 0.179805 loss: 1.170122 eta: 16:03:47 batch_cost: 2.9675 data_cost: 0.4930 ips: 18.8709 images/s [10/17 19:21:20] ppdet.engine INFO: Epoch: [253] [ 20/523] learning_rate: 0.023701 loss_vfl: 0.716764 loss_bbox: 0.263760 loss_dfl: 0.190665 loss: 1.194133 eta: 16:03:01 batch_cost: 2.6548 data_cost: 0.0014 ips: 21.0938 images/s [10/17 19:22:09] ppdet.engine INFO: Epoch: [253] [ 40/523] learning_rate: 0.023664 loss_vfl: 0.715048 loss_bbox: 0.268302 loss_dfl: 0.185447 loss: 1.176804 eta: 16:02:14 batch_cost: 2.3372 data_cost: 0.0012 ips: 23.9604 images/s [10/17 19:22:59] ppdet.engine INFO: Epoch: [253] [ 60/523] learning_rate: 0.023626 loss_vfl: 0.718577 loss_bbox: 0.269284 loss_dfl: 0.185608 loss: 1.178421 eta: 16:01:27 batch_cost: 2.3862 data_cost: 0.0018 ips: 23.4685 images/s [10/17 19:23:47] ppdet.engine INFO: Epoch: [253] [ 80/523] learning_rate: 0.023588 loss_vfl: 0.714365 loss_bbox: 0.250349 loss_dfl: 0.176870 loss: 1.141163 eta: 16:00:40 batch_cost: 2.3139 data_cost: 0.0013 ips: 24.2017 images/s [10/17 19:24:37] ppdet.engine INFO: Epoch: [253] [100/523] learning_rate: 0.023550 loss_vfl: 0.723475 loss_bbox: 0.258663 loss_dfl: 0.180507 loss: 1.199063 eta: 15:59:53 batch_cost: 2.3470 data_cost: 0.0021 ips: 23.8604 images/s [10/17 19:25:25] ppdet.engine INFO: Epoch: [253] [120/523] learning_rate: 0.023513 loss_vfl: 0.722019 loss_bbox: 0.238352 loss_dfl: 0.169123 loss: 1.148840 eta: 15:59:06 batch_cost: 2.2989 data_cost: 0.0012 ips: 24.3599 images/s [10/17 19:26:13] ppdet.engine INFO: Epoch: [253] [140/523] learning_rate: 0.023475 loss_vfl: 0.721689 loss_bbox: 0.254791 loss_dfl: 0.176273 loss: 1.144406 eta: 15:58:19 batch_cost: 2.2955 data_cost: 0.0021 ips: 24.3957 images/s [10/17 19:27:01] ppdet.engine INFO: Epoch: [253] [160/523] learning_rate: 0.023437 loss_vfl: 0.721653 loss_bbox: 0.266982 loss_dfl: 0.188894 loss: 1.166014 eta: 15:57:31 batch_cost: 2.3270 data_cost: 0.0035 ips: 24.0656 images/s [10/17 19:27:51] ppdet.engine INFO: Epoch: [253] [180/523] learning_rate: 0.023400 loss_vfl: 0.727738 loss_bbox: 0.250968 loss_dfl: 0.175546 loss: 1.171311 eta: 15:56:44 batch_cost: 2.3686 data_cost: 0.0012 ips: 23.6427 images/s [10/17 19:28:39] ppdet.engine INFO: Epoch: [253] [200/523] learning_rate: 0.023362 loss_vfl: 0.723140 loss_bbox: 0.266480 loss_dfl: 0.180260 loss: 1.153802 eta: 15:55:57 batch_cost: 2.2931 data_cost: 0.0021 ips: 24.4207 images/s [10/17 19:29:27] ppdet.engine INFO: Epoch: [253] [220/523] learning_rate: 0.023325 loss_vfl: 0.710509 loss_bbox: 0.269066 loss_dfl: 0.190096 loss: 1.170499 eta: 15:55:10 batch_cost: 2.2745 data_cost: 0.0057 ips: 24.6206 images/s [10/17 19:30:16] ppdet.engine INFO: Epoch: [253] [240/523] learning_rate: 0.023287 loss_vfl: 0.724378 loss_bbox: 0.272205 loss_dfl: 0.186193 loss: 1.188842 eta: 15:54:23 batch_cost: 2.3714 data_cost: 0.0013 ips: 23.6152 images/s [10/17 19:31:05] ppdet.engine INFO: Epoch: [253] [260/523] learning_rate: 0.023250 loss_vfl: 0.709788 loss_bbox: 0.255979 loss_dfl: 0.177141 loss: 1.153605 eta: 15:53:36 batch_cost: 2.3322 data_cost: 0.0013 ips: 24.0112 images/s [10/17 19:31:54] ppdet.engine INFO: Epoch: [253] [280/523] learning_rate: 0.023212 loss_vfl: 0.725904 loss_bbox: 0.247061 loss_dfl: 0.168352 loss: 1.148519 eta: 15:52:49 batch_cost: 2.3310 data_cost: 0.0040 ips: 24.0240 images/s [10/17 19:32:43] ppdet.engine INFO: Epoch: [253] [300/523] learning_rate: 0.023175 loss_vfl: 0.728290 loss_bbox: 0.262051 loss_dfl: 0.177115 loss: 1.158081 eta: 15:52:01 batch_cost: 2.3372 data_cost: 0.0013 ips: 23.9604 images/s [10/17 19:33:32] ppdet.engine INFO: Epoch: [253] [320/523] learning_rate: 0.023137 loss_vfl: 0.712855 loss_bbox: 0.268753 loss_dfl: 0.188999 loss: 1.166864 eta: 15:51:14 batch_cost: 2.3519 data_cost: 0.0013 ips: 23.8106 images/s [10/17 19:34:20] ppdet.engine INFO: Epoch: [253] [340/523] learning_rate: 0.023100 loss_vfl: 0.734232 loss_bbox: 0.248270 loss_dfl: 0.176135 loss: 1.163252 eta: 15:50:27 batch_cost: 2.3121 data_cost: 0.0012 ips: 24.2202 images/s [10/17 19:35:10] ppdet.engine INFO: Epoch: [253] [360/523] learning_rate: 0.023063 loss_vfl: 0.740469 loss_bbox: 0.257060 loss_dfl: 0.177048 loss: 1.211153 eta: 15:49:40 batch_cost: 2.3690 data_cost: 0.0012 ips: 23.6386 images/s [10/17 19:35:59] ppdet.engine INFO: Epoch: [253] [380/523] learning_rate: 0.023025 loss_vfl: 0.722925 loss_bbox: 0.239740 loss_dfl: 0.175126 loss: 1.140629 eta: 15:48:53 batch_cost: 2.3506 data_cost: 0.0020 ips: 23.8242 images/s [10/17 19:36:48] ppdet.engine INFO: Epoch: [253] [400/523] learning_rate: 0.022988 loss_vfl: 0.713547 loss_bbox: 0.250242 loss_dfl: 0.179577 loss: 1.139610 eta: 15:48:06 batch_cost: 2.3255 data_cost: 0.0022 ips: 24.0808 images/s [10/17 19:37:36] ppdet.engine INFO: Epoch: [253] [420/523] learning_rate: 0.022951 loss_vfl: 0.711849 loss_bbox: 0.238076 loss_dfl: 0.168467 loss: 1.122713 eta: 15:47:19 batch_cost: 2.3266 data_cost: 0.0026 ips: 24.0691 images/s [10/17 19:38:25] ppdet.engine INFO: Epoch: [253] [440/523] learning_rate: 0.022914 loss_vfl: 0.722155 loss_bbox: 0.285327 loss_dfl: 0.188371 loss: 1.189832 eta: 15:46:32 batch_cost: 2.3298 data_cost: 0.0028 ips: 24.0366 images/s [10/17 19:39:14] ppdet.engine INFO: Epoch: [253] [460/523] learning_rate: 0.022876 loss_vfl: 0.727715 loss_bbox: 0.252662 loss_dfl: 0.174227 loss: 1.158032 eta: 15:45:45 batch_cost: 2.3325 data_cost: 0.0022 ips: 24.0082 images/s [10/17 19:40:02] ppdet.engine INFO: Epoch: [253] [480/523] learning_rate: 0.022839 loss_vfl: 0.724923 loss_bbox: 0.260344 loss_dfl: 0.176789 loss: 1.159409 eta: 15:44:57 batch_cost: 2.2806 data_cost: 0.0032 ips: 24.5555 images/s [10/17 19:40:50] ppdet.engine INFO: Epoch: [253] [500/523] learning_rate: 0.022802 loss_vfl: 0.723410 loss_bbox: 0.247095 loss_dfl: 0.177304 loss: 1.148529 eta: 15:44:10 batch_cost: 2.2963 data_cost: 0.0027 ips: 24.3871 images/s [10/17 19:41:33] ppdet.engine INFO: Epoch: [253] [520/523] learning_rate: 0.022765 loss_vfl: 0.724029 loss_bbox: 0.253321 loss_dfl: 0.181469 loss: 1.157331 eta: 15:43:22 batch_cost: 2.0481 data_cost: 0.0012 ips: 27.3419 images/s [10/17 19:42:04] ppdet.engine INFO: Epoch: [254] [ 0/523] learning_rate: 0.022759 loss_vfl: 0.724029 loss_bbox: 0.254251 loss_dfl: 0.185444 loss: 1.157527 eta: 15:43:18 batch_cost: 3.0419 data_cost: 0.4610 ips: 18.4093 images/s [10/17 19:42:53] ppdet.engine INFO: Epoch: [254] [ 20/523] learning_rate: 0.022722 loss_vfl: 0.734401 loss_bbox: 0.259857 loss_dfl: 0.182806 loss: 1.180692 eta: 15:42:31 batch_cost: 2.3490 data_cost: 0.0022 ips: 23.8397 images/s [10/17 19:43:43] ppdet.engine INFO: Epoch: [254] [ 40/523] learning_rate: 0.022685 loss_vfl: 0.712884 loss_bbox: 0.263589 loss_dfl: 0.178150 loss: 1.157407 eta: 15:41:44 batch_cost: 2.4019 data_cost: 0.0013 ips: 23.3145 images/s [10/17 19:44:33] ppdet.engine INFO: Epoch: [254] [ 60/523] learning_rate: 0.022648 loss_vfl: 0.720608 loss_bbox: 0.259001 loss_dfl: 0.180077 loss: 1.164112 eta: 15:40:58 batch_cost: 2.3819 data_cost: 0.0016 ips: 23.5110 images/s [10/17 19:45:25] ppdet.engine INFO: Epoch: [254] [ 80/523] learning_rate: 0.022611 loss_vfl: 0.731646 loss_bbox: 0.263074 loss_dfl: 0.185155 loss: 1.167356 eta: 15:40:11 batch_cost: 2.4908 data_cost: 0.0046 ips: 22.4824 images/s [10/17 19:46:17] ppdet.engine INFO: Epoch: [254] [100/523] learning_rate: 0.022574 loss_vfl: 0.712849 loss_bbox: 0.262266 loss_dfl: 0.182625 loss: 1.155318 eta: 15:39:24 batch_cost: 2.4659 data_cost: 0.0026 ips: 22.7094 images/s [10/17 19:47:06] ppdet.engine INFO: Epoch: [254] [120/523] learning_rate: 0.022537 loss_vfl: 0.724602 loss_bbox: 0.252830 loss_dfl: 0.171810 loss: 1.150283 eta: 15:38:37 batch_cost: 2.3678 data_cost: 0.0018 ips: 23.6510 images/s [10/17 19:47:54] ppdet.engine INFO: Epoch: [254] [140/523] learning_rate: 0.022500 loss_vfl: 0.716986 loss_bbox: 0.247286 loss_dfl: 0.181158 loss: 1.136107 eta: 15:37:50 batch_cost: 2.2764 data_cost: 0.0019 ips: 24.6005 images/s [10/17 19:48:42] ppdet.engine INFO: Epoch: [254] [160/523] learning_rate: 0.022463 loss_vfl: 0.722401 loss_bbox: 0.268041 loss_dfl: 0.179119 loss: 1.160747 eta: 15:37:03 batch_cost: 2.3207 data_cost: 0.0013 ips: 24.1307 images/s [10/17 19:49:29] ppdet.engine INFO: Epoch: [254] [180/523] learning_rate: 0.022426 loss_vfl: 0.722992 loss_bbox: 0.255008 loss_dfl: 0.175470 loss: 1.136188 eta: 15:36:15 batch_cost: 2.2479 data_cost: 0.0018 ips: 24.9122 images/s [10/17 19:50:17] ppdet.engine INFO: Epoch: [254] [200/523] learning_rate: 0.022390 loss_vfl: 0.717203 loss_bbox: 0.265192 loss_dfl: 0.187193 loss: 1.174301 eta: 15:35:28 batch_cost: 2.2691 data_cost: 0.0012 ips: 24.6799 images/s [10/17 19:51:04] ppdet.engine INFO: Epoch: [254] [220/523] learning_rate: 0.022353 loss_vfl: 0.715678 loss_bbox: 0.264063 loss_dfl: 0.185259 loss: 1.157807 eta: 15:34:41 batch_cost: 2.2387 data_cost: 0.0013 ips: 25.0148 images/s [10/17 19:51:53] ppdet.engine INFO: Epoch: [254] [240/523] learning_rate: 0.022316 loss_vfl: 0.730615 loss_bbox: 0.251921 loss_dfl: 0.175356 loss: 1.157625 eta: 15:33:53 batch_cost: 2.3151 data_cost: 0.0019 ips: 24.1894 images/s [10/17 19:52:41] ppdet.engine INFO: Epoch: [254] [260/523] learning_rate: 0.022279 loss_vfl: 0.722374 loss_bbox: 0.262398 loss_dfl: 0.178920 loss: 1.168451 eta: 15:33:06 batch_cost: 2.3333 data_cost: 0.0012 ips: 24.0008 images/s [10/17 19:53:31] ppdet.engine INFO: Epoch: [254] [280/523] learning_rate: 0.022243 loss_vfl: 0.707965 loss_bbox: 0.250006 loss_dfl: 0.183164 loss: 1.170079 eta: 15:32:19 batch_cost: 2.3650 data_cost: 0.0020 ips: 23.6787 images/s [10/17 19:54:20] ppdet.engine INFO: Epoch: [254] [300/523] learning_rate: 0.022206 loss_vfl: 0.719923 loss_bbox: 0.251611 loss_dfl: 0.172687 loss: 1.154663 eta: 15:31:32 batch_cost: 2.3289 data_cost: 0.0019 ips: 24.0453 images/s [10/17 19:55:08] ppdet.engine INFO: Epoch: [254] [320/523] learning_rate: 0.022169 loss_vfl: 0.715897 loss_bbox: 0.258659 loss_dfl: 0.178846 loss: 1.160176 eta: 15:30:45 batch_cost: 2.2920 data_cost: 0.0012 ips: 24.4324 images/s [10/17 19:55:58] ppdet.engine INFO: Epoch: [254] [340/523] learning_rate: 0.022133 loss_vfl: 0.733317 loss_bbox: 0.273654 loss_dfl: 0.186197 loss: 1.195277 eta: 15:29:58 batch_cost: 2.4096 data_cost: 0.0012 ips: 23.2402 images/s [10/17 19:56:46] ppdet.engine INFO: Epoch: [254] [360/523] learning_rate: 0.022096 loss_vfl: 0.730856 loss_bbox: 0.261579 loss_dfl: 0.177952 loss: 1.170413 eta: 15:29:11 batch_cost: 2.2753 data_cost: 0.0018 ips: 24.6124 images/s [10/17 19:57:34] ppdet.engine INFO: Epoch: [254] [380/523] learning_rate: 0.022059 loss_vfl: 0.717178 loss_bbox: 0.261805 loss_dfl: 0.177361 loss: 1.138318 eta: 15:28:23 batch_cost: 2.2832 data_cost: 0.0012 ips: 24.5272 images/s [10/17 19:58:22] ppdet.engine INFO: Epoch: [254] [400/523] learning_rate: 0.022023 loss_vfl: 0.717414 loss_bbox: 0.264712 loss_dfl: 0.169963 loss: 1.148556 eta: 15:27:36 batch_cost: 2.3337 data_cost: 0.0012 ips: 23.9967 images/s [10/17 19:59:10] ppdet.engine INFO: Epoch: [254] [420/523] learning_rate: 0.021986 loss_vfl: 0.711011 loss_bbox: 0.247504 loss_dfl: 0.177615 loss: 1.152639 eta: 15:26:49 batch_cost: 2.3010 data_cost: 0.0012 ips: 24.3376 images/s [10/17 19:59:59] ppdet.engine INFO: Epoch: [254] [440/523] learning_rate: 0.021950 loss_vfl: 0.717461 loss_bbox: 0.270492 loss_dfl: 0.189544 loss: 1.190219 eta: 15:26:02 batch_cost: 2.3442 data_cost: 0.0012 ips: 23.8890 images/s [10/17 20:00:48] ppdet.engine INFO: Epoch: [254] [460/523] learning_rate: 0.021913 loss_vfl: 0.717501 loss_bbox: 0.252494 loss_dfl: 0.175753 loss: 1.153906 eta: 15:25:15 batch_cost: 2.3063 data_cost: 0.0012 ips: 24.2812 images/s [10/17 20:01:36] ppdet.engine INFO: Epoch: [254] [480/523] learning_rate: 0.021877 loss_vfl: 0.721124 loss_bbox: 0.280642 loss_dfl: 0.188650 loss: 1.196744 eta: 15:24:28 batch_cost: 2.3299 data_cost: 0.0012 ips: 24.0357 images/s [10/17 20:02:25] ppdet.engine INFO: Epoch: [254] [500/523] learning_rate: 0.021841 loss_vfl: 0.732584 loss_bbox: 0.260492 loss_dfl: 0.180449 loss: 1.187275 eta: 15:23:41 batch_cost: 2.3287 data_cost: 0.0026 ips: 24.0482 images/s [10/17 20:03:08] ppdet.engine INFO: Epoch: [254] [520/523] learning_rate: 0.021804 loss_vfl: 0.716284 loss_bbox: 0.251756 loss_dfl: 0.181472 loss: 1.168388 eta: 15:22:52 batch_cost: 2.0486 data_cost: 0.0018 ips: 27.3363 images/s [10/17 20:03:38] ppdet.engine INFO: Epoch: [255] [ 0/523] learning_rate: 0.021799 loss_vfl: 0.710174 loss_bbox: 0.255709 loss_dfl: 0.183671 loss: 1.165393 eta: 15:22:49 batch_cost: 2.9899 data_cost: 0.5420 ips: 18.7300 images/s [10/17 20:04:29] ppdet.engine INFO: Epoch: [255] [ 20/523] learning_rate: 0.021762 loss_vfl: 0.709905 loss_bbox: 0.266250 loss_dfl: 0.183075 loss: 1.155146 eta: 15:22:02 batch_cost: 2.4349 data_cost: 0.0019 ips: 22.9985 images/s [10/17 20:05:19] ppdet.engine INFO: Epoch: [255] [ 40/523] learning_rate: 0.021726 loss_vfl: 0.719804 loss_bbox: 0.248286 loss_dfl: 0.171081 loss: 1.144682 eta: 15:21:15 batch_cost: 2.4014 data_cost: 0.0012 ips: 23.3194 images/s [10/17 20:06:09] ppdet.engine INFO: Epoch: [255] [ 60/523] learning_rate: 0.021690 loss_vfl: 0.731911 loss_bbox: 0.266480 loss_dfl: 0.181032 loss: 1.164145 eta: 15:20:28 batch_cost: 2.3896 data_cost: 0.0013 ips: 23.4347 images/s [10/17 20:06:58] ppdet.engine INFO: Epoch: [255] [ 80/523] learning_rate: 0.021653 loss_vfl: 0.717051 loss_bbox: 0.272489 loss_dfl: 0.192036 loss: 1.175302 eta: 15:19:41 batch_cost: 2.3383 data_cost: 0.0013 ips: 23.9491 images/s [10/17 20:07:48] ppdet.engine INFO: Epoch: [255] [100/523] learning_rate: 0.021617 loss_vfl: 0.717621 loss_bbox: 0.254576 loss_dfl: 0.175202 loss: 1.160861 eta: 15:18:54 batch_cost: 2.3563 data_cost: 0.0013 ips: 23.7666 images/s [10/17 20:08:37] ppdet.engine INFO: Epoch: [255] [120/523] learning_rate: 0.021581 loss_vfl: 0.714700 loss_bbox: 0.265346 loss_dfl: 0.176052 loss: 1.163979 eta: 15:18:07 batch_cost: 2.3683 data_cost: 0.0012 ips: 23.6452 images/s [10/17 20:09:26] ppdet.engine INFO: Epoch: [255] [140/523] learning_rate: 0.021545 loss_vfl: 0.727517 loss_bbox: 0.275639 loss_dfl: 0.185811 loss: 1.178235 eta: 15:17:20 batch_cost: 2.3226 data_cost: 0.0018 ips: 24.1104 images/s [10/17 20:10:15] ppdet.engine INFO: Epoch: [255] [160/523] learning_rate: 0.021509 loss_vfl: 0.713631 loss_bbox: 0.261455 loss_dfl: 0.177806 loss: 1.153735 eta: 15:16:33 batch_cost: 2.3591 data_cost: 0.0013 ips: 23.7384 images/s [10/17 20:11:05] ppdet.engine INFO: Epoch: [255] [180/523] learning_rate: 0.021473 loss_vfl: 0.719894 loss_bbox: 0.265178 loss_dfl: 0.183420 loss: 1.164537 eta: 15:15:46 batch_cost: 2.3769 data_cost: 0.0013 ips: 23.5603 images/s [10/17 20:11:54] ppdet.engine INFO: Epoch: [255] [200/523] learning_rate: 0.021437 loss_vfl: 0.705991 loss_bbox: 0.272989 loss_dfl: 0.188148 loss: 1.149201 eta: 15:14:59 batch_cost: 2.3743 data_cost: 0.0012 ips: 23.5861 images/s [10/17 20:12:44] ppdet.engine INFO: Epoch: [255] [220/523] learning_rate: 0.021400 loss_vfl: 0.712857 loss_bbox: 0.267396 loss_dfl: 0.179463 loss: 1.181471 eta: 15:14:12 batch_cost: 2.3933 data_cost: 0.0013 ips: 23.3991 images/s [10/17 20:13:34] ppdet.engine INFO: Epoch: [255] [240/523] learning_rate: 0.021364 loss_vfl: 0.728392 loss_bbox: 0.262164 loss_dfl: 0.177231 loss: 1.149677 eta: 15:13:25 batch_cost: 2.3500 data_cost: 0.0013 ips: 23.8303 images/s [10/17 20:14:23] ppdet.engine INFO: Epoch: [255] [260/523] learning_rate: 0.021328 loss_vfl: 0.720173 loss_bbox: 0.252169 loss_dfl: 0.183272 loss: 1.161973 eta: 15:12:38 batch_cost: 2.3367 data_cost: 0.0012 ips: 23.9653 images/s [10/17 20:15:11] ppdet.engine INFO: Epoch: [255] [280/523] learning_rate: 0.021292 loss_vfl: 0.716848 loss_bbox: 0.247648 loss_dfl: 0.178381 loss: 1.157815 eta: 15:11:50 batch_cost: 2.2868 data_cost: 0.0012 ips: 24.4878 images/s [10/17 20:15:59] ppdet.engine INFO: Epoch: [255] [300/523] learning_rate: 0.021257 loss_vfl: 0.717408 loss_bbox: 0.249170 loss_dfl: 0.177662 loss: 1.147593 eta: 15:11:03 batch_cost: 2.3128 data_cost: 0.0012 ips: 24.2130 images/s [10/17 20:16:48] ppdet.engine INFO: Epoch: [255] [320/523] learning_rate: 0.021221 loss_vfl: 0.717734 loss_bbox: 0.272889 loss_dfl: 0.186237 loss: 1.188098 eta: 15:10:16 batch_cost: 2.3454 data_cost: 0.0012 ips: 23.8766 images/s [10/17 20:17:38] ppdet.engine INFO: Epoch: [255] [340/523] learning_rate: 0.021185 loss_vfl: 0.730248 loss_bbox: 0.255778 loss_dfl: 0.172123 loss: 1.170524 eta: 15:09:29 batch_cost: 2.3792 data_cost: 0.0012 ips: 23.5373 images/s [10/17 20:18:27] ppdet.engine INFO: Epoch: [255] [360/523] learning_rate: 0.021149 loss_vfl: 0.731583 loss_bbox: 0.266631 loss_dfl: 0.179011 loss: 1.170853 eta: 15:08:42 batch_cost: 2.3509 data_cost: 0.0012 ips: 23.8210 images/s [10/17 20:19:15] ppdet.engine INFO: Epoch: [255] [380/523] learning_rate: 0.021113 loss_vfl: 0.737209 loss_bbox: 0.245957 loss_dfl: 0.174687 loss: 1.158064 eta: 15:07:55 batch_cost: 2.2907 data_cost: 0.0012 ips: 24.4470 images/s [10/17 20:20:05] ppdet.engine INFO: Epoch: [255] [400/523] learning_rate: 0.021077 loss_vfl: 0.721279 loss_bbox: 0.252503 loss_dfl: 0.177531 loss: 1.158957 eta: 15:07:08 batch_cost: 2.3968 data_cost: 0.0013 ips: 23.3646 images/s [10/17 20:20:56] ppdet.engine INFO: Epoch: [255] [420/523] learning_rate: 0.021041 loss_vfl: 0.725207 loss_bbox: 0.250473 loss_dfl: 0.171983 loss: 1.152923 eta: 15:06:21 batch_cost: 2.4066 data_cost: 0.0013 ips: 23.2697 images/s [10/17 20:21:45] ppdet.engine INFO: Epoch: [255] [440/523] learning_rate: 0.021006 loss_vfl: 0.723924 loss_bbox: 0.251327 loss_dfl: 0.176402 loss: 1.150913 eta: 15:05:34 batch_cost: 2.3643 data_cost: 0.0012 ips: 23.6861 images/s [10/17 20:22:34] ppdet.engine INFO: Epoch: [255] [460/523] learning_rate: 0.020970 loss_vfl: 0.733043 loss_bbox: 0.261776 loss_dfl: 0.178015 loss: 1.163020 eta: 15:04:47 batch_cost: 2.3284 data_cost: 0.0013 ips: 24.0507 images/s [10/17 20:23:23] ppdet.engine INFO: Epoch: [255] [480/523] learning_rate: 0.020934 loss_vfl: 0.722801 loss_bbox: 0.270411 loss_dfl: 0.184648 loss: 1.170579 eta: 15:04:00 batch_cost: 2.3644 data_cost: 0.0013 ips: 23.6849 images/s [10/17 20:24:13] ppdet.engine INFO: Epoch: [255] [500/523] learning_rate: 0.020899 loss_vfl: 0.729181 loss_bbox: 0.265425 loss_dfl: 0.181943 loss: 1.166225 eta: 15:03:13 batch_cost: 2.3753 data_cost: 0.0019 ips: 23.5760 images/s [10/17 20:24:57] ppdet.engine INFO: Epoch: [255] [520/523] learning_rate: 0.020863 loss_vfl: 0.705382 loss_bbox: 0.257308 loss_dfl: 0.176489 loss: 1.143710 eta: 15:02:25 batch_cost: 2.0882 data_cost: 0.0012 ips: 26.8180 images/s [10/17 20:25:30] ppdet.engine INFO: Epoch: [256] [ 0/523] learning_rate: 0.020858 loss_vfl: 0.705382 loss_bbox: 0.245904 loss_dfl: 0.176033 loss: 1.139217 eta: 15:02:22 batch_cost: 3.1801 data_cost: 0.8899 ips: 17.6096 images/s [10/17 20:26:20] ppdet.engine INFO: Epoch: [256] [ 20/523] learning_rate: 0.020822 loss_vfl: 0.715255 loss_bbox: 0.266919 loss_dfl: 0.183005 loss: 1.146919 eta: 15:01:35 batch_cost: 2.3557 data_cost: 0.0015 ips: 23.7719 images/s [10/17 20:27:10] ppdet.engine INFO: Epoch: [256] [ 40/523] learning_rate: 0.020786 loss_vfl: 0.704015 loss_bbox: 0.258645 loss_dfl: 0.180577 loss: 1.155453 eta: 15:00:48 batch_cost: 2.3760 data_cost: 0.0016 ips: 23.5695 images/s [10/17 20:27:59] ppdet.engine INFO: Epoch: [256] [ 60/523] learning_rate: 0.020751 loss_vfl: 0.733699 loss_bbox: 0.268218 loss_dfl: 0.181853 loss: 1.178606 eta: 15:00:01 batch_cost: 2.3726 data_cost: 0.0021 ips: 23.6024 images/s [10/17 20:28:48] ppdet.engine INFO: Epoch: [256] [ 80/523] learning_rate: 0.020715 loss_vfl: 0.702133 loss_bbox: 0.227462 loss_dfl: 0.169441 loss: 1.105999 eta: 14:59:14 batch_cost: 2.3426 data_cost: 0.0020 ips: 23.9046 images/s [10/17 20:29:37] ppdet.engine INFO: Epoch: [256] [100/523] learning_rate: 0.020680 loss_vfl: 0.724084 loss_bbox: 0.265420 loss_dfl: 0.185661 loss: 1.176507 eta: 14:58:27 batch_cost: 2.3332 data_cost: 0.0027 ips: 24.0010 images/s [10/17 20:30:26] ppdet.engine INFO: Epoch: [256] [120/523] learning_rate: 0.020644 loss_vfl: 0.721563 loss_bbox: 0.265243 loss_dfl: 0.184791 loss: 1.168324 eta: 14:57:40 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6490 images/s [10/17 20:31:16] ppdet.engine INFO: Epoch: [256] [140/523] learning_rate: 0.020609 loss_vfl: 0.729453 loss_bbox: 0.270431 loss_dfl: 0.175590 loss: 1.199192 eta: 14:56:53 batch_cost: 2.3756 data_cost: 0.0012 ips: 23.5730 images/s [10/17 20:32:05] ppdet.engine INFO: Epoch: [256] [160/523] learning_rate: 0.020574 loss_vfl: 0.723204 loss_bbox: 0.253962 loss_dfl: 0.177351 loss: 1.164738 eta: 14:56:05 batch_cost: 2.3161 data_cost: 0.0013 ips: 24.1783 images/s [10/17 20:32:54] ppdet.engine INFO: Epoch: [256] [180/523] learning_rate: 0.020538 loss_vfl: 0.742451 loss_bbox: 0.257791 loss_dfl: 0.180280 loss: 1.167486 eta: 14:55:18 batch_cost: 2.3775 data_cost: 0.0012 ips: 23.5538 images/s [10/17 20:33:43] ppdet.engine INFO: Epoch: [256] [200/523] learning_rate: 0.020503 loss_vfl: 0.723401 loss_bbox: 0.267489 loss_dfl: 0.180275 loss: 1.159304 eta: 14:54:31 batch_cost: 2.3479 data_cost: 0.0025 ips: 23.8506 images/s [10/17 20:34:33] ppdet.engine INFO: Epoch: [256] [220/523] learning_rate: 0.020468 loss_vfl: 0.716534 loss_bbox: 0.243079 loss_dfl: 0.172982 loss: 1.142262 eta: 14:53:44 batch_cost: 2.3448 data_cost: 0.0012 ips: 23.8824 images/s [10/17 20:35:21] ppdet.engine INFO: Epoch: [256] [240/523] learning_rate: 0.020432 loss_vfl: 0.722206 loss_bbox: 0.259036 loss_dfl: 0.177775 loss: 1.166006 eta: 14:52:57 batch_cost: 2.3376 data_cost: 0.0012 ips: 23.9559 images/s [10/17 20:36:11] ppdet.engine INFO: Epoch: [256] [260/523] learning_rate: 0.020397 loss_vfl: 0.727423 loss_bbox: 0.252702 loss_dfl: 0.175234 loss: 1.156539 eta: 14:52:10 batch_cost: 2.3505 data_cost: 0.0012 ips: 23.8245 images/s [10/17 20:37:00] ppdet.engine INFO: Epoch: [256] [280/523] learning_rate: 0.020362 loss_vfl: 0.715214 loss_bbox: 0.254256 loss_dfl: 0.173595 loss: 1.157084 eta: 14:51:23 batch_cost: 2.3527 data_cost: 0.0013 ips: 23.8023 images/s [10/17 20:37:50] ppdet.engine INFO: Epoch: [256] [300/523] learning_rate: 0.020327 loss_vfl: 0.708119 loss_bbox: 0.239388 loss_dfl: 0.171151 loss: 1.131467 eta: 14:50:36 batch_cost: 2.3658 data_cost: 0.0013 ips: 23.6711 images/s [10/17 20:38:40] ppdet.engine INFO: Epoch: [256] [320/523] learning_rate: 0.020292 loss_vfl: 0.724054 loss_bbox: 0.275778 loss_dfl: 0.182920 loss: 1.182529 eta: 14:49:49 batch_cost: 2.3870 data_cost: 0.0012 ips: 23.4608 images/s [10/17 20:39:31] ppdet.engine INFO: Epoch: [256] [340/523] learning_rate: 0.020256 loss_vfl: 0.731149 loss_bbox: 0.257841 loss_dfl: 0.181899 loss: 1.158233 eta: 14:49:02 batch_cost: 2.4482 data_cost: 0.0026 ips: 22.8740 images/s [10/17 20:40:20] ppdet.engine INFO: Epoch: [256] [360/523] learning_rate: 0.020221 loss_vfl: 0.719570 loss_bbox: 0.278664 loss_dfl: 0.187663 loss: 1.180206 eta: 14:48:15 batch_cost: 2.3127 data_cost: 0.0012 ips: 24.2137 images/s [10/17 20:41:09] ppdet.engine INFO: Epoch: [256] [380/523] learning_rate: 0.020186 loss_vfl: 0.708758 loss_bbox: 0.249872 loss_dfl: 0.172545 loss: 1.139904 eta: 14:47:28 batch_cost: 2.3378 data_cost: 0.0019 ips: 23.9541 images/s [10/17 20:41:57] ppdet.engine INFO: Epoch: [256] [400/523] learning_rate: 0.020151 loss_vfl: 0.712171 loss_bbox: 0.241301 loss_dfl: 0.172320 loss: 1.147859 eta: 14:46:41 batch_cost: 2.3230 data_cost: 0.0012 ips: 24.1070 images/s [10/17 20:42:48] ppdet.engine INFO: Epoch: [256] [420/523] learning_rate: 0.020116 loss_vfl: 0.716813 loss_bbox: 0.250127 loss_dfl: 0.174662 loss: 1.147127 eta: 14:45:54 batch_cost: 2.3801 data_cost: 0.0014 ips: 23.5283 images/s [10/17 20:43:37] ppdet.engine INFO: Epoch: [256] [440/523] learning_rate: 0.020081 loss_vfl: 0.731998 loss_bbox: 0.284876 loss_dfl: 0.197503 loss: 1.222445 eta: 14:45:07 batch_cost: 2.3821 data_cost: 0.0013 ips: 23.5084 images/s [10/17 20:44:26] ppdet.engine INFO: Epoch: [256] [460/523] learning_rate: 0.020046 loss_vfl: 0.704920 loss_bbox: 0.266761 loss_dfl: 0.178860 loss: 1.154696 eta: 14:44:20 batch_cost: 2.3086 data_cost: 0.0012 ips: 24.2567 images/s [10/17 20:45:15] ppdet.engine INFO: Epoch: [256] [480/523] learning_rate: 0.020011 loss_vfl: 0.738877 loss_bbox: 0.262472 loss_dfl: 0.175766 loss: 1.174119 eta: 14:43:33 batch_cost: 2.3570 data_cost: 0.0012 ips: 23.7588 images/s [10/17 20:46:04] ppdet.engine INFO: Epoch: [256] [500/523] learning_rate: 0.019976 loss_vfl: 0.717579 loss_bbox: 0.252419 loss_dfl: 0.179633 loss: 1.162761 eta: 14:42:46 batch_cost: 2.3052 data_cost: 0.0012 ips: 24.2927 images/s [10/17 20:46:49] ppdet.engine INFO: Epoch: [256] [520/523] learning_rate: 0.019941 loss_vfl: 0.693066 loss_bbox: 0.254427 loss_dfl: 0.172393 loss: 1.115879 eta: 14:41:58 batch_cost: 2.1557 data_cost: 0.0012 ips: 25.9775 images/s [10/17 20:47:19] ppdet.engine INFO: Epoch: [257] [ 0/523] learning_rate: 0.019936 loss_vfl: 0.716320 loss_bbox: 0.254427 loss_dfl: 0.172393 loss: 1.119187 eta: 14:41:54 batch_cost: 3.1086 data_cost: 0.7841 ips: 18.0147 images/s [10/17 20:48:13] ppdet.engine INFO: Epoch: [257] [ 20/523] learning_rate: 0.019901 loss_vfl: 0.729835 loss_bbox: 0.252532 loss_dfl: 0.180913 loss: 1.173540 eta: 14:41:08 batch_cost: 2.5444 data_cost: 0.0013 ips: 22.0093 images/s [10/17 20:49:05] ppdet.engine INFO: Epoch: [257] [ 40/523] learning_rate: 0.019867 loss_vfl: 0.729332 loss_bbox: 0.259077 loss_dfl: 0.178065 loss: 1.163813 eta: 14:40:21 batch_cost: 2.4754 data_cost: 0.0013 ips: 22.6230 images/s [10/17 20:49:54] ppdet.engine INFO: Epoch: [257] [ 60/523] learning_rate: 0.019832 loss_vfl: 0.719480 loss_bbox: 0.260310 loss_dfl: 0.178545 loss: 1.163410 eta: 14:39:34 batch_cost: 2.3758 data_cost: 0.0024 ips: 23.5714 images/s [10/17 20:50:45] ppdet.engine INFO: Epoch: [257] [ 80/523] learning_rate: 0.019797 loss_vfl: 0.719440 loss_bbox: 0.269291 loss_dfl: 0.181211 loss: 1.177476 eta: 14:38:47 batch_cost: 2.3820 data_cost: 0.0014 ips: 23.5096 images/s [10/17 20:51:34] ppdet.engine INFO: Epoch: [257] [100/523] learning_rate: 0.019762 loss_vfl: 0.726179 loss_bbox: 0.251415 loss_dfl: 0.175844 loss: 1.144235 eta: 14:38:00 batch_cost: 2.3682 data_cost: 0.0014 ips: 23.6466 images/s [10/17 20:52:24] ppdet.engine INFO: Epoch: [257] [120/523] learning_rate: 0.019728 loss_vfl: 0.723762 loss_bbox: 0.264775 loss_dfl: 0.179915 loss: 1.167142 eta: 14:37:13 batch_cost: 2.4034 data_cost: 0.0012 ips: 23.3003 images/s [10/17 20:53:14] ppdet.engine INFO: Epoch: [257] [140/523] learning_rate: 0.019693 loss_vfl: 0.724262 loss_bbox: 0.257003 loss_dfl: 0.177492 loss: 1.172572 eta: 14:36:26 batch_cost: 2.3677 data_cost: 0.0013 ips: 23.6520 images/s [10/17 20:54:04] ppdet.engine INFO: Epoch: [257] [160/523] learning_rate: 0.019658 loss_vfl: 0.713518 loss_bbox: 0.262087 loss_dfl: 0.185824 loss: 1.173116 eta: 14:35:39 batch_cost: 2.4102 data_cost: 0.0012 ips: 23.2344 images/s [10/17 20:54:53] ppdet.engine INFO: Epoch: [257] [180/523] learning_rate: 0.019624 loss_vfl: 0.733465 loss_bbox: 0.249245 loss_dfl: 0.173424 loss: 1.163646 eta: 14:34:52 batch_cost: 2.3171 data_cost: 0.0012 ips: 24.1683 images/s [10/17 20:55:45] ppdet.engine INFO: Epoch: [257] [200/523] learning_rate: 0.019589 loss_vfl: 0.719838 loss_bbox: 0.266066 loss_dfl: 0.188504 loss: 1.172666 eta: 14:34:05 batch_cost: 2.5054 data_cost: 0.0018 ips: 22.3515 images/s [10/17 20:56:37] ppdet.engine INFO: Epoch: [257] [220/523] learning_rate: 0.019555 loss_vfl: 0.712279 loss_bbox: 0.256756 loss_dfl: 0.180318 loss: 1.154217 eta: 14:33:19 batch_cost: 2.4911 data_cost: 0.0019 ips: 22.4798 images/s [10/17 20:57:27] ppdet.engine INFO: Epoch: [257] [240/523] learning_rate: 0.019520 loss_vfl: 0.704534 loss_bbox: 0.256101 loss_dfl: 0.179529 loss: 1.127643 eta: 14:32:32 batch_cost: 2.3854 data_cost: 0.0013 ips: 23.4765 images/s [10/17 20:58:17] ppdet.engine INFO: Epoch: [257] [260/523] learning_rate: 0.019486 loss_vfl: 0.722549 loss_bbox: 0.256530 loss_dfl: 0.179454 loss: 1.154711 eta: 14:31:45 batch_cost: 2.3915 data_cost: 0.0012 ips: 23.4163 images/s [10/17 20:59:06] ppdet.engine INFO: Epoch: [257] [280/523] learning_rate: 0.019451 loss_vfl: 0.719280 loss_bbox: 0.268152 loss_dfl: 0.184773 loss: 1.188198 eta: 14:30:58 batch_cost: 2.3625 data_cost: 0.0012 ips: 23.7042 images/s [10/17 20:59:54] ppdet.engine INFO: Epoch: [257] [300/523] learning_rate: 0.019417 loss_vfl: 0.728724 loss_bbox: 0.267125 loss_dfl: 0.183577 loss: 1.184695 eta: 14:30:11 batch_cost: 2.2712 data_cost: 0.0013 ips: 24.6562 images/s [10/17 21:00:42] ppdet.engine INFO: Epoch: [257] [320/523] learning_rate: 0.019382 loss_vfl: 0.712062 loss_bbox: 0.251747 loss_dfl: 0.171182 loss: 1.160055 eta: 14:29:23 batch_cost: 2.2876 data_cost: 0.0012 ips: 24.4803 images/s [10/17 21:01:32] ppdet.engine INFO: Epoch: [257] [340/523] learning_rate: 0.019348 loss_vfl: 0.705165 loss_bbox: 0.257579 loss_dfl: 0.177211 loss: 1.138719 eta: 14:28:36 batch_cost: 2.3641 data_cost: 0.0013 ips: 23.6877 images/s [10/17 21:02:22] ppdet.engine INFO: Epoch: [257] [360/523] learning_rate: 0.019313 loss_vfl: 0.723621 loss_bbox: 0.263757 loss_dfl: 0.179153 loss: 1.171117 eta: 14:27:49 batch_cost: 2.3997 data_cost: 0.0012 ips: 23.3361 images/s [10/17 21:03:11] ppdet.engine INFO: Epoch: [257] [380/523] learning_rate: 0.019279 loss_vfl: 0.708484 loss_bbox: 0.268021 loss_dfl: 0.188958 loss: 1.171158 eta: 14:27:02 batch_cost: 2.3550 data_cost: 0.0013 ips: 23.7793 images/s [10/17 21:04:00] ppdet.engine INFO: Epoch: [257] [400/523] learning_rate: 0.019245 loss_vfl: 0.733533 loss_bbox: 0.254218 loss_dfl: 0.178829 loss: 1.176810 eta: 14:26:15 batch_cost: 2.3529 data_cost: 0.0012 ips: 23.8007 images/s [10/17 21:04:48] ppdet.engine INFO: Epoch: [257] [420/523] learning_rate: 0.019211 loss_vfl: 0.719005 loss_bbox: 0.250310 loss_dfl: 0.171615 loss: 1.136727 eta: 14:25:28 batch_cost: 2.2892 data_cost: 0.0012 ips: 24.4631 images/s [10/17 21:05:37] ppdet.engine INFO: Epoch: [257] [440/523] learning_rate: 0.019176 loss_vfl: 0.712460 loss_bbox: 0.248162 loss_dfl: 0.178928 loss: 1.159101 eta: 14:24:41 batch_cost: 2.3158 data_cost: 0.0012 ips: 24.1815 images/s [10/17 21:06:27] ppdet.engine INFO: Epoch: [257] [460/523] learning_rate: 0.019142 loss_vfl: 0.717874 loss_bbox: 0.268284 loss_dfl: 0.176566 loss: 1.140000 eta: 14:23:54 batch_cost: 2.4079 data_cost: 0.0013 ips: 23.2564 images/s [10/17 21:07:15] ppdet.engine INFO: Epoch: [257] [480/523] learning_rate: 0.019108 loss_vfl: 0.728061 loss_bbox: 0.274257 loss_dfl: 0.179321 loss: 1.188334 eta: 14:23:07 batch_cost: 2.2960 data_cost: 0.0014 ips: 24.3905 images/s [10/17 21:08:04] ppdet.engine INFO: Epoch: [257] [500/523] learning_rate: 0.019074 loss_vfl: 0.722385 loss_bbox: 0.260165 loss_dfl: 0.175069 loss: 1.155190 eta: 14:22:20 batch_cost: 2.3234 data_cost: 0.0012 ips: 24.1029 images/s [10/17 21:08:47] ppdet.engine INFO: Epoch: [257] [520/523] learning_rate: 0.019040 loss_vfl: 0.719867 loss_bbox: 0.275144 loss_dfl: 0.187921 loss: 1.213970 eta: 14:21:32 batch_cost: 2.0676 data_cost: 0.0012 ips: 27.0840 images/s [10/17 21:09:17] ppdet.engine INFO: Epoch: [258] [ 0/523] learning_rate: 0.019035 loss_vfl: 0.737351 loss_bbox: 0.271981 loss_dfl: 0.181055 loss: 1.199744 eta: 14:21:28 batch_cost: 3.0872 data_cost: 0.6368 ips: 18.1396 images/s [10/17 21:10:09] ppdet.engine INFO: Epoch: [258] [ 20/523] learning_rate: 0.019001 loss_vfl: 0.720733 loss_bbox: 0.263050 loss_dfl: 0.182928 loss: 1.137365 eta: 14:20:41 batch_cost: 2.4668 data_cost: 0.0016 ips: 22.7011 images/s [10/17 21:10:59] ppdet.engine INFO: Epoch: [258] [ 40/523] learning_rate: 0.018966 loss_vfl: 0.710958 loss_bbox: 0.263136 loss_dfl: 0.183337 loss: 1.165894 eta: 14:19:54 batch_cost: 2.3875 data_cost: 0.0014 ips: 23.4559 images/s [10/17 21:11:49] ppdet.engine INFO: Epoch: [258] [ 60/523] learning_rate: 0.018932 loss_vfl: 0.719286 loss_bbox: 0.237895 loss_dfl: 0.170089 loss: 1.144048 eta: 14:19:07 batch_cost: 2.3753 data_cost: 0.0013 ips: 23.5762 images/s [10/17 21:12:39] ppdet.engine INFO: Epoch: [258] [ 80/523] learning_rate: 0.018898 loss_vfl: 0.722572 loss_bbox: 0.257463 loss_dfl: 0.184941 loss: 1.179142 eta: 14:18:20 batch_cost: 2.4260 data_cost: 0.0024 ips: 23.0830 images/s [10/17 21:13:31] ppdet.engine INFO: Epoch: [258] [100/523] learning_rate: 0.018864 loss_vfl: 0.711876 loss_bbox: 0.263624 loss_dfl: 0.178419 loss: 1.158125 eta: 14:17:34 batch_cost: 2.4583 data_cost: 0.0013 ips: 22.7801 images/s [10/17 21:14:20] ppdet.engine INFO: Epoch: [258] [120/523] learning_rate: 0.018831 loss_vfl: 0.708552 loss_bbox: 0.262616 loss_dfl: 0.182720 loss: 1.159606 eta: 14:16:47 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6275 images/s [10/17 21:15:11] ppdet.engine INFO: Epoch: [258] [140/523] learning_rate: 0.018797 loss_vfl: 0.709019 loss_bbox: 0.267356 loss_dfl: 0.177677 loss: 1.173554 eta: 14:16:00 batch_cost: 2.4554 data_cost: 0.0013 ips: 22.8072 images/s [10/17 21:16:02] ppdet.engine INFO: Epoch: [258] [160/523] learning_rate: 0.018763 loss_vfl: 0.741003 loss_bbox: 0.243123 loss_dfl: 0.176809 loss: 1.155913 eta: 14:15:13 batch_cost: 2.4138 data_cost: 0.0013 ips: 23.2000 images/s [10/17 21:16:50] ppdet.engine INFO: Epoch: [258] [180/523] learning_rate: 0.018729 loss_vfl: 0.722005 loss_bbox: 0.266771 loss_dfl: 0.180248 loss: 1.175383 eta: 14:14:26 batch_cost: 2.3260 data_cost: 0.0012 ips: 24.0758 images/s [10/17 21:17:39] ppdet.engine INFO: Epoch: [258] [200/523] learning_rate: 0.018695 loss_vfl: 0.716102 loss_bbox: 0.244660 loss_dfl: 0.171573 loss: 1.142633 eta: 14:13:39 batch_cost: 2.3093 data_cost: 0.0012 ips: 24.2500 images/s [10/17 21:18:27] ppdet.engine INFO: Epoch: [258] [220/523] learning_rate: 0.018661 loss_vfl: 0.706752 loss_bbox: 0.255425 loss_dfl: 0.176654 loss: 1.141327 eta: 14:12:51 batch_cost: 2.3243 data_cost: 0.0014 ips: 24.0935 images/s [10/17 21:19:17] ppdet.engine INFO: Epoch: [258] [240/523] learning_rate: 0.018627 loss_vfl: 0.716280 loss_bbox: 0.271832 loss_dfl: 0.184771 loss: 1.186678 eta: 14:12:04 batch_cost: 2.3517 data_cost: 0.0018 ips: 23.8121 images/s [10/17 21:20:06] ppdet.engine INFO: Epoch: [258] [260/523] learning_rate: 0.018594 loss_vfl: 0.731025 loss_bbox: 0.254847 loss_dfl: 0.173478 loss: 1.154244 eta: 14:11:17 batch_cost: 2.3568 data_cost: 0.0013 ips: 23.7612 images/s [10/17 21:20:55] ppdet.engine INFO: Epoch: [258] [280/523] learning_rate: 0.018560 loss_vfl: 0.716012 loss_bbox: 0.251106 loss_dfl: 0.178692 loss: 1.148647 eta: 14:10:30 batch_cost: 2.3515 data_cost: 0.0012 ips: 23.8149 images/s [10/17 21:21:46] ppdet.engine INFO: Epoch: [258] [300/523] learning_rate: 0.018526 loss_vfl: 0.722760 loss_bbox: 0.246952 loss_dfl: 0.168354 loss: 1.137035 eta: 14:09:43 batch_cost: 2.4170 data_cost: 0.0013 ips: 23.1691 images/s [10/17 21:22:35] ppdet.engine INFO: Epoch: [258] [320/523] learning_rate: 0.018493 loss_vfl: 0.726201 loss_bbox: 0.244234 loss_dfl: 0.175154 loss: 1.152441 eta: 14:08:56 batch_cost: 2.3860 data_cost: 0.0013 ips: 23.4706 images/s [10/17 21:23:25] ppdet.engine INFO: Epoch: [258] [340/523] learning_rate: 0.018459 loss_vfl: 0.726780 loss_bbox: 0.255795 loss_dfl: 0.181682 loss: 1.165301 eta: 14:08:09 batch_cost: 2.3520 data_cost: 0.0012 ips: 23.8096 images/s [10/17 21:24:15] ppdet.engine INFO: Epoch: [258] [360/523] learning_rate: 0.018425 loss_vfl: 0.723366 loss_bbox: 0.243615 loss_dfl: 0.174069 loss: 1.142432 eta: 14:07:22 batch_cost: 2.4002 data_cost: 0.0019 ips: 23.3310 images/s [10/17 21:25:06] ppdet.engine INFO: Epoch: [258] [380/523] learning_rate: 0.018392 loss_vfl: 0.715866 loss_bbox: 0.263325 loss_dfl: 0.177861 loss: 1.154049 eta: 14:06:36 batch_cost: 2.4380 data_cost: 0.0013 ips: 22.9700 images/s [10/17 21:25:55] ppdet.engine INFO: Epoch: [258] [400/523] learning_rate: 0.018358 loss_vfl: 0.710532 loss_bbox: 0.268141 loss_dfl: 0.184746 loss: 1.165220 eta: 14:05:49 batch_cost: 2.3364 data_cost: 0.0012 ips: 23.9686 images/s [10/17 21:26:45] ppdet.engine INFO: Epoch: [258] [420/523] learning_rate: 0.018325 loss_vfl: 0.706750 loss_bbox: 0.256708 loss_dfl: 0.172647 loss: 1.166778 eta: 14:05:02 batch_cost: 2.3711 data_cost: 0.0013 ips: 23.6181 images/s [10/17 21:27:36] ppdet.engine INFO: Epoch: [258] [440/523] learning_rate: 0.018291 loss_vfl: 0.720202 loss_bbox: 0.242086 loss_dfl: 0.178428 loss: 1.135193 eta: 14:04:15 batch_cost: 2.4569 data_cost: 0.0013 ips: 22.7927 images/s [10/17 21:28:25] ppdet.engine INFO: Epoch: [258] [460/523] learning_rate: 0.018258 loss_vfl: 0.712172 loss_bbox: 0.254490 loss_dfl: 0.173438 loss: 1.146476 eta: 14:03:28 batch_cost: 2.3548 data_cost: 0.0024 ips: 23.7812 images/s [10/17 21:29:16] ppdet.engine INFO: Epoch: [258] [480/523] learning_rate: 0.018225 loss_vfl: 0.717628 loss_bbox: 0.272853 loss_dfl: 0.182699 loss: 1.161427 eta: 14:02:41 batch_cost: 2.4021 data_cost: 0.0016 ips: 23.3126 images/s [10/17 21:30:07] ppdet.engine INFO: Epoch: [258] [500/523] learning_rate: 0.018191 loss_vfl: 0.719423 loss_bbox: 0.262011 loss_dfl: 0.179600 loss: 1.163483 eta: 14:01:54 batch_cost: 2.4550 data_cost: 0.0012 ips: 22.8109 images/s [10/17 21:30:52] ppdet.engine INFO: Epoch: [258] [520/523] learning_rate: 0.018158 loss_vfl: 0.725705 loss_bbox: 0.265383 loss_dfl: 0.183727 loss: 1.171876 eta: 14:01:06 batch_cost: 2.1731 data_cost: 0.0019 ips: 25.7697 images/s [10/17 21:31:24] ppdet.engine INFO: Epoch: [259] [ 0/523] learning_rate: 0.018153 loss_vfl: 0.729747 loss_bbox: 0.260851 loss_dfl: 0.182360 loss: 1.171876 eta: 14:01:02 batch_cost: 3.0984 data_cost: 0.5946 ips: 18.0739 images/s [10/17 21:32:17] ppdet.engine INFO: Epoch: [259] [ 20/523] learning_rate: 0.018119 loss_vfl: 0.713790 loss_bbox: 0.238654 loss_dfl: 0.165654 loss: 1.124650 eta: 14:00:16 batch_cost: 2.5018 data_cost: 0.0014 ips: 22.3838 images/s [10/17 21:33:08] ppdet.engine INFO: Epoch: [259] [ 40/523] learning_rate: 0.018086 loss_vfl: 0.731015 loss_bbox: 0.263551 loss_dfl: 0.180463 loss: 1.161063 eta: 13:59:29 batch_cost: 2.4467 data_cost: 0.0012 ips: 22.8878 images/s [10/17 21:33:58] ppdet.engine INFO: Epoch: [259] [ 60/523] learning_rate: 0.018053 loss_vfl: 0.705999 loss_bbox: 0.245056 loss_dfl: 0.172295 loss: 1.130407 eta: 13:58:42 batch_cost: 2.3952 data_cost: 0.0019 ips: 23.3797 images/s [10/17 21:34:47] ppdet.engine INFO: Epoch: [259] [ 80/523] learning_rate: 0.018020 loss_vfl: 0.713808 loss_bbox: 0.252680 loss_dfl: 0.178171 loss: 1.143819 eta: 13:57:55 batch_cost: 2.3556 data_cost: 0.0013 ips: 23.7728 images/s [10/17 21:35:37] ppdet.engine INFO: Epoch: [259] [100/523] learning_rate: 0.017986 loss_vfl: 0.719147 loss_bbox: 0.254620 loss_dfl: 0.182143 loss: 1.152845 eta: 13:57:08 batch_cost: 2.3569 data_cost: 0.0014 ips: 23.7598 images/s [10/17 21:36:27] ppdet.engine INFO: Epoch: [259] [120/523] learning_rate: 0.017953 loss_vfl: 0.716985 loss_bbox: 0.245567 loss_dfl: 0.174338 loss: 1.142533 eta: 13:56:21 batch_cost: 2.4020 data_cost: 0.0013 ips: 23.3135 images/s [10/17 21:37:16] ppdet.engine INFO: Epoch: [259] [140/523] learning_rate: 0.017920 loss_vfl: 0.712560 loss_bbox: 0.256107 loss_dfl: 0.176224 loss: 1.174289 eta: 13:55:34 batch_cost: 2.3497 data_cost: 0.0014 ips: 23.8333 images/s [10/17 21:38:05] ppdet.engine INFO: Epoch: [259] [160/523] learning_rate: 0.017887 loss_vfl: 0.722669 loss_bbox: 0.249893 loss_dfl: 0.169879 loss: 1.153469 eta: 13:54:47 batch_cost: 2.3061 data_cost: 0.0013 ips: 24.2830 images/s [10/17 21:38:54] ppdet.engine INFO: Epoch: [259] [180/523] learning_rate: 0.017854 loss_vfl: 0.709511 loss_bbox: 0.253596 loss_dfl: 0.174100 loss: 1.128430 eta: 13:54:00 batch_cost: 2.3493 data_cost: 0.0013 ips: 23.8365 images/s [10/17 21:39:43] ppdet.engine INFO: Epoch: [259] [200/523] learning_rate: 0.017821 loss_vfl: 0.697576 loss_bbox: 0.263886 loss_dfl: 0.176668 loss: 1.142305 eta: 13:53:13 batch_cost: 2.3577 data_cost: 0.0012 ips: 23.7515 images/s [10/17 21:40:33] ppdet.engine INFO: Epoch: [259] [220/523] learning_rate: 0.017788 loss_vfl: 0.720230 loss_bbox: 0.254193 loss_dfl: 0.182394 loss: 1.155969 eta: 13:52:26 batch_cost: 2.3535 data_cost: 0.0013 ips: 23.7946 images/s [10/17 21:41:21] ppdet.engine INFO: Epoch: [259] [240/523] learning_rate: 0.017755 loss_vfl: 0.727539 loss_bbox: 0.271123 loss_dfl: 0.189302 loss: 1.176029 eta: 13:51:38 batch_cost: 2.3150 data_cost: 0.0013 ips: 24.1898 images/s [10/17 21:42:10] ppdet.engine INFO: Epoch: [259] [260/523] learning_rate: 0.017722 loss_vfl: 0.712390 loss_bbox: 0.265234 loss_dfl: 0.191245 loss: 1.186924 eta: 13:50:51 batch_cost: 2.3272 data_cost: 0.0013 ips: 24.0629 images/s [10/17 21:43:00] ppdet.engine INFO: Epoch: [259] [280/523] learning_rate: 0.017689 loss_vfl: 0.712126 loss_bbox: 0.255685 loss_dfl: 0.176056 loss: 1.144472 eta: 13:50:04 batch_cost: 2.3769 data_cost: 0.0012 ips: 23.5601 images/s [10/17 21:43:49] ppdet.engine INFO: Epoch: [259] [300/523] learning_rate: 0.017656 loss_vfl: 0.685022 loss_bbox: 0.244306 loss_dfl: 0.173727 loss: 1.092214 eta: 13:49:17 batch_cost: 2.3500 data_cost: 0.0012 ips: 23.8299 images/s [10/17 21:44:37] ppdet.engine INFO: Epoch: [259] [320/523] learning_rate: 0.017623 loss_vfl: 0.722369 loss_bbox: 0.286356 loss_dfl: 0.186794 loss: 1.191594 eta: 13:48:30 batch_cost: 2.3274 data_cost: 0.0012 ips: 24.0609 images/s [10/17 21:45:27] ppdet.engine INFO: Epoch: [259] [340/523] learning_rate: 0.017590 loss_vfl: 0.734103 loss_bbox: 0.262549 loss_dfl: 0.186209 loss: 1.170511 eta: 13:47:43 batch_cost: 2.3971 data_cost: 0.0025 ips: 23.3611 images/s [10/17 21:46:18] ppdet.engine INFO: Epoch: [259] [360/523] learning_rate: 0.017557 loss_vfl: 0.717307 loss_bbox: 0.260304 loss_dfl: 0.180518 loss: 1.152396 eta: 13:46:56 batch_cost: 2.4022 data_cost: 0.0013 ips: 23.3117 images/s [10/17 21:47:07] ppdet.engine INFO: Epoch: [259] [380/523] learning_rate: 0.017525 loss_vfl: 0.721097 loss_bbox: 0.258453 loss_dfl: 0.181440 loss: 1.173265 eta: 13:46:09 batch_cost: 2.3449 data_cost: 0.0012 ips: 23.8812 images/s [10/17 21:47:56] ppdet.engine INFO: Epoch: [259] [400/523] learning_rate: 0.017492 loss_vfl: 0.720407 loss_bbox: 0.272637 loss_dfl: 0.184722 loss: 1.186471 eta: 13:45:22 batch_cost: 2.3704 data_cost: 0.0012 ips: 23.6251 images/s [10/17 21:48:45] ppdet.engine INFO: Epoch: [259] [420/523] learning_rate: 0.017459 loss_vfl: 0.733056 loss_bbox: 0.259565 loss_dfl: 0.180444 loss: 1.183389 eta: 13:44:35 batch_cost: 2.3407 data_cost: 0.0013 ips: 23.9244 images/s [10/17 21:49:34] ppdet.engine INFO: Epoch: [259] [440/523] learning_rate: 0.017426 loss_vfl: 0.711967 loss_bbox: 0.261123 loss_dfl: 0.175368 loss: 1.142419 eta: 13:43:48 batch_cost: 2.3435 data_cost: 0.0012 ips: 23.8954 images/s [10/17 21:50:23] ppdet.engine INFO: Epoch: [259] [460/523] learning_rate: 0.017394 loss_vfl: 0.721453 loss_bbox: 0.259611 loss_dfl: 0.180132 loss: 1.158616 eta: 13:43:01 batch_cost: 2.3245 data_cost: 0.0023 ips: 24.0910 images/s [10/17 21:51:12] ppdet.engine INFO: Epoch: [259] [480/523] learning_rate: 0.017361 loss_vfl: 0.715008 loss_bbox: 0.262134 loss_dfl: 0.188475 loss: 1.183994 eta: 13:42:14 batch_cost: 2.3465 data_cost: 0.0013 ips: 23.8653 images/s [10/17 21:52:00] ppdet.engine INFO: Epoch: [259] [500/523] learning_rate: 0.017328 loss_vfl: 0.720430 loss_bbox: 0.258097 loss_dfl: 0.181314 loss: 1.153076 eta: 13:41:26 batch_cost: 2.2898 data_cost: 0.0012 ips: 24.4563 images/s [10/17 21:52:43] ppdet.engine INFO: Epoch: [259] [520/523] learning_rate: 0.017296 loss_vfl: 0.713544 loss_bbox: 0.266430 loss_dfl: 0.177139 loss: 1.157812 eta: 13:40:38 batch_cost: 2.0301 data_cost: 0.0012 ips: 27.5853 images/s [10/17 21:52:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/17 21:52:52] ppdet.engine INFO: Eval iter: 0 [10/17 21:53:30] ppdet.engine INFO: Eval iter: 100 [10/17 21:53:50] ppdet.engine INFO: Eval iter: 200 [10/17 21:54:10] ppdet.engine INFO: Eval iter: 300 [10/17 21:54:29] ppdet.engine INFO: Eval iter: 400 [10/17 21:54:49] ppdet.engine INFO: Eval iter: 500 [10/17 21:55:09] ppdet.engine INFO: Eval iter: 600 [10/17 21:55:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.73s) creating index... index created! [10/17 21:55:30] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.14s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=101.30s). Accumulating evaluation results... DONE (t=18.60s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.520 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.380 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.140 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 ] = 0.566 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.304 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.481 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.513 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.242 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.744 [10/17 21:57:38] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.68024336774527 [10/17 21:57:38] ppdet.engine INFO: Best test bbox ap is 0.363. [10/17 21:57:40] ppdet.engine INFO: Epoch: [260] [ 0/523] learning_rate: 0.017291 loss_vfl: 0.726314 loss_bbox: 0.267454 loss_dfl: 0.178577 loss: 1.167787 eta: 13:40:31 batch_cost: 1.9979 data_cost: 0.0012 ips: 28.0295 images/s [10/17 21:58:32] ppdet.engine INFO: Epoch: [260] [ 20/523] learning_rate: 0.017258 loss_vfl: 0.711848 loss_bbox: 0.256772 loss_dfl: 0.171947 loss: 1.144127 eta: 13:39:44 batch_cost: 2.4947 data_cost: 0.0018 ips: 22.4480 images/s [10/17 21:59:24] ppdet.engine INFO: Epoch: [260] [ 40/523] learning_rate: 0.017226 loss_vfl: 0.707274 loss_bbox: 0.243373 loss_dfl: 0.175670 loss: 1.129886 eta: 13:38:58 batch_cost: 2.4538 data_cost: 0.0020 ips: 22.8217 images/s [10/17 22:00:16] ppdet.engine INFO: Epoch: [260] [ 60/523] learning_rate: 0.017193 loss_vfl: 0.721997 loss_bbox: 0.244301 loss_dfl: 0.176369 loss: 1.156568 eta: 13:38:11 batch_cost: 2.4754 data_cost: 0.0019 ips: 22.6226 images/s [10/17 22:01:05] ppdet.engine INFO: Epoch: [260] [ 80/523] learning_rate: 0.017161 loss_vfl: 0.714405 loss_bbox: 0.254977 loss_dfl: 0.174567 loss: 1.155085 eta: 13:37:24 batch_cost: 2.3797 data_cost: 0.0014 ips: 23.5319 images/s [10/17 22:01:56] ppdet.engine INFO: Epoch: [260] [100/523] learning_rate: 0.017128 loss_vfl: 0.716176 loss_bbox: 0.241479 loss_dfl: 0.168993 loss: 1.141345 eta: 13:36:37 batch_cost: 2.4315 data_cost: 0.0019 ips: 23.0308 images/s [10/17 22:02:47] ppdet.engine INFO: Epoch: [260] [120/523] learning_rate: 0.017096 loss_vfl: 0.712836 loss_bbox: 0.267502 loss_dfl: 0.177689 loss: 1.165850 eta: 13:35:50 batch_cost: 2.4692 data_cost: 0.0013 ips: 22.6794 images/s [10/17 22:03:39] ppdet.engine INFO: Epoch: [260] [140/523] learning_rate: 0.017064 loss_vfl: 0.717771 loss_bbox: 0.271041 loss_dfl: 0.184706 loss: 1.160139 eta: 13:35:04 batch_cost: 2.4794 data_cost: 0.0014 ips: 22.5862 images/s [10/17 22:04:28] ppdet.engine INFO: Epoch: [260] [160/523] learning_rate: 0.017031 loss_vfl: 0.715834 loss_bbox: 0.253208 loss_dfl: 0.173173 loss: 1.143899 eta: 13:34:17 batch_cost: 2.3506 data_cost: 0.0026 ips: 23.8242 images/s [10/17 22:05:19] ppdet.engine INFO: Epoch: [260] [180/523] learning_rate: 0.016999 loss_vfl: 0.712799 loss_bbox: 0.257007 loss_dfl: 0.177633 loss: 1.146803 eta: 13:33:30 batch_cost: 2.4264 data_cost: 0.0030 ips: 23.0793 images/s [10/17 22:06:11] ppdet.engine INFO: Epoch: [260] [200/523] learning_rate: 0.016967 loss_vfl: 0.712965 loss_bbox: 0.233228 loss_dfl: 0.161803 loss: 1.127213 eta: 13:32:43 batch_cost: 2.4864 data_cost: 0.0027 ips: 22.5221 images/s [10/17 22:06:59] ppdet.engine INFO: Epoch: [260] [220/523] learning_rate: 0.016934 loss_vfl: 0.713584 loss_bbox: 0.257219 loss_dfl: 0.180713 loss: 1.155458 eta: 13:31:56 batch_cost: 2.2923 data_cost: 0.0012 ips: 24.4294 images/s [10/17 22:07:48] ppdet.engine INFO: Epoch: [260] [240/523] learning_rate: 0.016902 loss_vfl: 0.717815 loss_bbox: 0.252401 loss_dfl: 0.179062 loss: 1.143433 eta: 13:31:09 batch_cost: 2.3313 data_cost: 0.0013 ips: 24.0213 images/s [10/17 22:08:37] ppdet.engine INFO: Epoch: [260] [260/523] learning_rate: 0.016870 loss_vfl: 0.725922 loss_bbox: 0.253461 loss_dfl: 0.173991 loss: 1.157700 eta: 13:30:22 batch_cost: 2.3600 data_cost: 0.0015 ips: 23.7285 images/s [10/17 22:09:26] ppdet.engine INFO: Epoch: [260] [280/523] learning_rate: 0.016838 loss_vfl: 0.710511 loss_bbox: 0.264872 loss_dfl: 0.179337 loss: 1.181064 eta: 13:29:35 batch_cost: 2.3251 data_cost: 0.0013 ips: 24.0849 images/s [10/17 22:10:17] ppdet.engine INFO: Epoch: [260] [300/523] learning_rate: 0.016806 loss_vfl: 0.717668 loss_bbox: 0.267720 loss_dfl: 0.181847 loss: 1.158404 eta: 13:28:48 batch_cost: 2.3987 data_cost: 0.0019 ips: 23.3461 images/s [10/17 22:11:06] ppdet.engine INFO: Epoch: [260] [320/523] learning_rate: 0.016773 loss_vfl: 0.704947 loss_bbox: 0.243243 loss_dfl: 0.175094 loss: 1.125514 eta: 13:28:01 batch_cost: 2.3694 data_cost: 0.0013 ips: 23.6344 images/s [10/17 22:11:56] ppdet.engine INFO: Epoch: [260] [340/523] learning_rate: 0.016741 loss_vfl: 0.724179 loss_bbox: 0.259522 loss_dfl: 0.176230 loss: 1.167046 eta: 13:27:14 batch_cost: 2.3724 data_cost: 0.0026 ips: 23.6049 images/s [10/17 22:12:46] ppdet.engine INFO: Epoch: [260] [360/523] learning_rate: 0.016709 loss_vfl: 0.721619 loss_bbox: 0.266839 loss_dfl: 0.183702 loss: 1.169651 eta: 13:26:27 batch_cost: 2.4071 data_cost: 0.0012 ips: 23.2649 images/s [10/17 22:13:36] ppdet.engine INFO: Epoch: [260] [380/523] learning_rate: 0.016677 loss_vfl: 0.718618 loss_bbox: 0.280596 loss_dfl: 0.186046 loss: 1.182358 eta: 13:25:40 batch_cost: 2.4105 data_cost: 0.0026 ips: 23.2318 images/s [10/17 22:14:25] ppdet.engine INFO: Epoch: [260] [400/523] learning_rate: 0.016645 loss_vfl: 0.730524 loss_bbox: 0.275385 loss_dfl: 0.179366 loss: 1.186808 eta: 13:24:53 batch_cost: 2.3457 data_cost: 0.0022 ips: 23.8732 images/s [10/17 22:15:15] ppdet.engine INFO: Epoch: [260] [420/523] learning_rate: 0.016613 loss_vfl: 0.713072 loss_bbox: 0.272170 loss_dfl: 0.180216 loss: 1.143885 eta: 13:24:06 batch_cost: 2.3642 data_cost: 0.0020 ips: 23.6865 images/s [10/17 22:16:04] ppdet.engine INFO: Epoch: [260] [440/523] learning_rate: 0.016581 loss_vfl: 0.725819 loss_bbox: 0.260140 loss_dfl: 0.181072 loss: 1.157796 eta: 13:23:19 batch_cost: 2.3424 data_cost: 0.0028 ips: 23.9072 images/s [10/17 22:16:53] ppdet.engine INFO: Epoch: [260] [460/523] learning_rate: 0.016549 loss_vfl: 0.707223 loss_bbox: 0.255412 loss_dfl: 0.177654 loss: 1.140978 eta: 13:22:31 batch_cost: 2.3334 data_cost: 0.0013 ips: 23.9995 images/s [10/17 22:17:43] ppdet.engine INFO: Epoch: [260] [480/523] learning_rate: 0.016518 loss_vfl: 0.699898 loss_bbox: 0.255918 loss_dfl: 0.177440 loss: 1.136973 eta: 13:21:45 batch_cost: 2.4135 data_cost: 0.0013 ips: 23.2032 images/s [10/17 22:18:32] ppdet.engine INFO: Epoch: [260] [500/523] learning_rate: 0.016486 loss_vfl: 0.732228 loss_bbox: 0.253064 loss_dfl: 0.181373 loss: 1.153321 eta: 13:20:57 batch_cost: 2.3376 data_cost: 0.0019 ips: 23.9562 images/s [10/17 22:19:16] ppdet.engine INFO: Epoch: [260] [520/523] learning_rate: 0.016454 loss_vfl: 0.728905 loss_bbox: 0.264915 loss_dfl: 0.182218 loss: 1.165145 eta: 13:20:10 batch_cost: 2.0704 data_cost: 0.0023 ips: 27.0483 images/s [10/17 22:19:47] ppdet.engine INFO: Epoch: [261] [ 0/523] learning_rate: 0.016449 loss_vfl: 0.729230 loss_bbox: 0.262824 loss_dfl: 0.182218 loss: 1.167856 eta: 13:20:05 batch_cost: 3.0631 data_cost: 0.7834 ips: 18.2822 images/s [10/17 22:20:40] ppdet.engine INFO: Epoch: [261] [ 20/523] learning_rate: 0.016417 loss_vfl: 0.730052 loss_bbox: 0.263045 loss_dfl: 0.183696 loss: 1.166343 eta: 13:19:19 batch_cost: 2.4445 data_cost: 0.0030 ips: 22.9084 images/s [10/17 22:21:30] ppdet.engine INFO: Epoch: [261] [ 40/523] learning_rate: 0.016386 loss_vfl: 0.705053 loss_bbox: 0.253792 loss_dfl: 0.181891 loss: 1.149495 eta: 13:18:32 batch_cost: 2.3936 data_cost: 0.0016 ips: 23.3956 images/s [10/17 22:22:20] ppdet.engine INFO: Epoch: [261] [ 60/523] learning_rate: 0.016354 loss_vfl: 0.717993 loss_bbox: 0.264688 loss_dfl: 0.175484 loss: 1.151186 eta: 13:17:45 batch_cost: 2.4133 data_cost: 0.0015 ips: 23.2051 images/s [10/17 22:23:11] ppdet.engine INFO: Epoch: [261] [ 80/523] learning_rate: 0.016322 loss_vfl: 0.704924 loss_bbox: 0.260505 loss_dfl: 0.181007 loss: 1.152746 eta: 13:16:58 batch_cost: 2.4294 data_cost: 0.0014 ips: 23.0507 images/s [10/17 22:24:00] ppdet.engine INFO: Epoch: [261] [100/523] learning_rate: 0.016290 loss_vfl: 0.704523 loss_bbox: 0.258198 loss_dfl: 0.180673 loss: 1.147940 eta: 13:16:11 batch_cost: 2.3708 data_cost: 0.0013 ips: 23.6207 images/s [10/17 22:24:52] ppdet.engine INFO: Epoch: [261] [120/523] learning_rate: 0.016259 loss_vfl: 0.706733 loss_bbox: 0.268939 loss_dfl: 0.182656 loss: 1.158737 eta: 13:15:24 batch_cost: 2.4740 data_cost: 0.0013 ips: 22.6356 images/s [10/17 22:25:43] ppdet.engine INFO: Epoch: [261] [140/523] learning_rate: 0.016227 loss_vfl: 0.710844 loss_bbox: 0.257624 loss_dfl: 0.176069 loss: 1.156846 eta: 13:14:37 batch_cost: 2.4309 data_cost: 0.0014 ips: 23.0369 images/s [10/17 22:26:35] ppdet.engine INFO: Epoch: [261] [160/523] learning_rate: 0.016196 loss_vfl: 0.707875 loss_bbox: 0.251998 loss_dfl: 0.174217 loss: 1.141893 eta: 13:13:51 batch_cost: 2.4737 data_cost: 0.0014 ips: 22.6381 images/s [10/17 22:27:26] ppdet.engine INFO: Epoch: [261] [180/523] learning_rate: 0.016164 loss_vfl: 0.695960 loss_bbox: 0.252552 loss_dfl: 0.169220 loss: 1.109808 eta: 13:13:04 batch_cost: 2.4246 data_cost: 0.0013 ips: 23.0969 images/s [10/17 22:28:16] ppdet.engine INFO: Epoch: [261] [200/523] learning_rate: 0.016132 loss_vfl: 0.727646 loss_bbox: 0.251307 loss_dfl: 0.173896 loss: 1.149335 eta: 13:12:17 batch_cost: 2.4073 data_cost: 0.0013 ips: 23.2621 images/s [10/17 22:29:07] ppdet.engine INFO: Epoch: [261] [220/523] learning_rate: 0.016101 loss_vfl: 0.711870 loss_bbox: 0.255810 loss_dfl: 0.177973 loss: 1.142256 eta: 13:11:30 batch_cost: 2.4399 data_cost: 0.0013 ips: 22.9514 images/s [10/17 22:29:56] ppdet.engine INFO: Epoch: [261] [240/523] learning_rate: 0.016069 loss_vfl: 0.725257 loss_bbox: 0.274104 loss_dfl: 0.182862 loss: 1.178256 eta: 13:10:43 batch_cost: 2.3492 data_cost: 0.0022 ips: 23.8377 images/s [10/17 22:30:45] ppdet.engine INFO: Epoch: [261] [260/523] learning_rate: 0.016038 loss_vfl: 0.702307 loss_bbox: 0.270324 loss_dfl: 0.184251 loss: 1.164197 eta: 13:09:56 batch_cost: 2.3697 data_cost: 0.0019 ips: 23.6320 images/s [10/17 22:31:35] ppdet.engine INFO: Epoch: [261] [280/523] learning_rate: 0.016007 loss_vfl: 0.703327 loss_bbox: 0.259027 loss_dfl: 0.178752 loss: 1.131303 eta: 13:09:09 batch_cost: 2.3761 data_cost: 0.0029 ips: 23.5679 images/s [10/17 22:32:25] ppdet.engine INFO: Epoch: [261] [300/523] learning_rate: 0.015975 loss_vfl: 0.718135 loss_bbox: 0.270431 loss_dfl: 0.188557 loss: 1.178721 eta: 13:08:22 batch_cost: 2.4046 data_cost: 0.0014 ips: 23.2882 images/s [10/17 22:33:15] ppdet.engine INFO: Epoch: [261] [320/523] learning_rate: 0.015944 loss_vfl: 0.710760 loss_bbox: 0.269084 loss_dfl: 0.179232 loss: 1.163121 eta: 13:07:35 batch_cost: 2.3932 data_cost: 0.0021 ips: 23.3998 images/s [10/17 22:34:05] ppdet.engine INFO: Epoch: [261] [340/523] learning_rate: 0.015913 loss_vfl: 0.718155 loss_bbox: 0.264152 loss_dfl: 0.179451 loss: 1.161694 eta: 13:06:48 batch_cost: 2.3741 data_cost: 0.0013 ips: 23.5876 images/s [10/17 22:34:56] ppdet.engine INFO: Epoch: [261] [360/523] learning_rate: 0.015881 loss_vfl: 0.715684 loss_bbox: 0.241265 loss_dfl: 0.171264 loss: 1.152721 eta: 13:06:01 batch_cost: 2.4182 data_cost: 0.0013 ips: 23.1579 images/s [10/17 22:35:46] ppdet.engine INFO: Epoch: [261] [380/523] learning_rate: 0.015850 loss_vfl: 0.719304 loss_bbox: 0.256471 loss_dfl: 0.176472 loss: 1.134564 eta: 13:05:14 batch_cost: 2.3964 data_cost: 0.0015 ips: 23.3687 images/s [10/17 22:36:36] ppdet.engine INFO: Epoch: [261] [400/523] learning_rate: 0.015819 loss_vfl: 0.715834 loss_bbox: 0.252665 loss_dfl: 0.179223 loss: 1.145244 eta: 13:04:27 batch_cost: 2.3861 data_cost: 0.0020 ips: 23.4690 images/s [10/17 22:37:25] ppdet.engine INFO: Epoch: [261] [420/523] learning_rate: 0.015788 loss_vfl: 0.724614 loss_bbox: 0.281223 loss_dfl: 0.184308 loss: 1.183203 eta: 13:03:40 batch_cost: 2.3424 data_cost: 0.0013 ips: 23.9073 images/s [10/17 22:38:14] ppdet.engine INFO: Epoch: [261] [440/523] learning_rate: 0.015756 loss_vfl: 0.713147 loss_bbox: 0.262432 loss_dfl: 0.183227 loss: 1.151557 eta: 13:02:53 batch_cost: 2.3551 data_cost: 0.0013 ips: 23.7781 images/s [10/17 22:39:05] ppdet.engine INFO: Epoch: [261] [460/523] learning_rate: 0.015725 loss_vfl: 0.716742 loss_bbox: 0.245371 loss_dfl: 0.177288 loss: 1.142770 eta: 13:02:06 batch_cost: 2.4076 data_cost: 0.0020 ips: 23.2595 images/s [10/17 22:39:56] ppdet.engine INFO: Epoch: [261] [480/523] learning_rate: 0.015694 loss_vfl: 0.704359 loss_bbox: 0.258111 loss_dfl: 0.180869 loss: 1.162482 eta: 13:01:19 batch_cost: 2.4307 data_cost: 0.0026 ips: 23.0383 images/s [10/17 22:40:47] ppdet.engine INFO: Epoch: [261] [500/523] learning_rate: 0.015663 loss_vfl: 0.698563 loss_bbox: 0.262093 loss_dfl: 0.180737 loss: 1.141456 eta: 13:00:33 batch_cost: 2.4608 data_cost: 0.0016 ips: 22.7569 images/s [10/17 22:41:32] ppdet.engine INFO: Epoch: [261] [520/523] learning_rate: 0.015632 loss_vfl: 0.708059 loss_bbox: 0.264100 loss_dfl: 0.178476 loss: 1.162312 eta: 12:59:45 batch_cost: 2.1604 data_cost: 0.0019 ips: 25.9213 images/s [10/17 22:42:00] ppdet.engine INFO: Epoch: [262] [ 0/523] learning_rate: 0.015627 loss_vfl: 0.710564 loss_bbox: 0.268549 loss_dfl: 0.182620 loss: 1.166587 eta: 12:59:40 batch_cost: 2.9548 data_cost: 0.3280 ips: 18.9522 images/s [10/17 22:42:56] ppdet.engine INFO: Epoch: [262] [ 20/523] learning_rate: 0.015596 loss_vfl: 0.708181 loss_bbox: 0.259415 loss_dfl: 0.182882 loss: 1.161991 eta: 12:58:54 batch_cost: 2.6889 data_cost: 0.0018 ips: 20.8261 images/s [10/17 22:43:46] ppdet.engine INFO: Epoch: [262] [ 40/523] learning_rate: 0.015565 loss_vfl: 0.709398 loss_bbox: 0.264494 loss_dfl: 0.186244 loss: 1.171469 eta: 12:58:07 batch_cost: 2.4031 data_cost: 0.0016 ips: 23.3030 images/s [10/17 22:44:36] ppdet.engine INFO: Epoch: [262] [ 60/523] learning_rate: 0.015534 loss_vfl: 0.704633 loss_bbox: 0.260726 loss_dfl: 0.180787 loss: 1.144706 eta: 12:57:20 batch_cost: 2.3920 data_cost: 0.0017 ips: 23.4110 images/s [10/17 22:45:26] ppdet.engine INFO: Epoch: [262] [ 80/523] learning_rate: 0.015503 loss_vfl: 0.717545 loss_bbox: 0.264748 loss_dfl: 0.180151 loss: 1.162717 eta: 12:56:33 batch_cost: 2.3644 data_cost: 0.0028 ips: 23.6850 images/s [10/17 22:46:14] ppdet.engine INFO: Epoch: [262] [100/523] learning_rate: 0.015473 loss_vfl: 0.712885 loss_bbox: 0.266317 loss_dfl: 0.179353 loss: 1.165789 eta: 12:55:46 batch_cost: 2.3082 data_cost: 0.0027 ips: 24.2609 images/s [10/17 22:47:04] ppdet.engine INFO: Epoch: [262] [120/523] learning_rate: 0.015442 loss_vfl: 0.704118 loss_bbox: 0.255018 loss_dfl: 0.180032 loss: 1.142654 eta: 12:54:59 batch_cost: 2.3944 data_cost: 0.0014 ips: 23.3879 images/s [10/17 22:47:54] ppdet.engine INFO: Epoch: [262] [140/523] learning_rate: 0.015411 loss_vfl: 0.723589 loss_bbox: 0.274465 loss_dfl: 0.182415 loss: 1.158818 eta: 12:54:12 batch_cost: 2.3842 data_cost: 0.0021 ips: 23.4883 images/s [10/17 22:48:45] ppdet.engine INFO: Epoch: [262] [160/523] learning_rate: 0.015380 loss_vfl: 0.711660 loss_bbox: 0.256313 loss_dfl: 0.176144 loss: 1.156758 eta: 12:53:25 batch_cost: 2.4198 data_cost: 0.0021 ips: 23.1424 images/s [10/17 22:49:35] ppdet.engine INFO: Epoch: [262] [180/523] learning_rate: 0.015349 loss_vfl: 0.703873 loss_bbox: 0.262073 loss_dfl: 0.176481 loss: 1.155462 eta: 12:52:38 batch_cost: 2.4118 data_cost: 0.0015 ips: 23.2189 images/s [10/17 22:50:25] ppdet.engine INFO: Epoch: [262] [200/523] learning_rate: 0.015318 loss_vfl: 0.706319 loss_bbox: 0.253461 loss_dfl: 0.177068 loss: 1.148383 eta: 12:51:51 batch_cost: 2.3690 data_cost: 0.0014 ips: 23.6382 images/s [10/17 22:51:16] ppdet.engine INFO: Epoch: [262] [220/523] learning_rate: 0.015288 loss_vfl: 0.707438 loss_bbox: 0.255825 loss_dfl: 0.176242 loss: 1.153646 eta: 12:51:04 batch_cost: 2.4360 data_cost: 0.0013 ips: 22.9884 images/s [10/17 22:52:06] ppdet.engine INFO: Epoch: [262] [240/523] learning_rate: 0.015257 loss_vfl: 0.704822 loss_bbox: 0.255386 loss_dfl: 0.177202 loss: 1.149627 eta: 12:50:17 batch_cost: 2.3848 data_cost: 0.0016 ips: 23.4817 images/s [10/17 22:52:55] ppdet.engine INFO: Epoch: [262] [260/523] learning_rate: 0.015226 loss_vfl: 0.717606 loss_bbox: 0.261411 loss_dfl: 0.169246 loss: 1.160175 eta: 12:49:30 batch_cost: 2.3782 data_cost: 0.0015 ips: 23.5469 images/s [10/17 22:53:46] ppdet.engine INFO: Epoch: [262] [280/523] learning_rate: 0.015196 loss_vfl: 0.708746 loss_bbox: 0.270725 loss_dfl: 0.179895 loss: 1.172707 eta: 12:48:43 batch_cost: 2.3888 data_cost: 0.0013 ips: 23.4423 images/s [10/17 22:54:35] ppdet.engine INFO: Epoch: [262] [300/523] learning_rate: 0.015165 loss_vfl: 0.703359 loss_bbox: 0.256645 loss_dfl: 0.175994 loss: 1.140722 eta: 12:47:56 batch_cost: 2.3790 data_cost: 0.0021 ips: 23.5388 images/s [10/17 22:55:25] ppdet.engine INFO: Epoch: [262] [320/523] learning_rate: 0.015135 loss_vfl: 0.720905 loss_bbox: 0.245039 loss_dfl: 0.177043 loss: 1.144450 eta: 12:47:09 batch_cost: 2.4005 data_cost: 0.0024 ips: 23.3289 images/s [10/17 22:56:15] ppdet.engine INFO: Epoch: [262] [340/523] learning_rate: 0.015104 loss_vfl: 0.706773 loss_bbox: 0.279514 loss_dfl: 0.188729 loss: 1.177519 eta: 12:46:22 batch_cost: 2.3653 data_cost: 0.0013 ips: 23.6756 images/s [10/17 22:57:04] ppdet.engine INFO: Epoch: [262] [360/523] learning_rate: 0.015074 loss_vfl: 0.701892 loss_bbox: 0.241028 loss_dfl: 0.174160 loss: 1.132834 eta: 12:45:35 batch_cost: 2.3198 data_cost: 0.0012 ips: 24.1397 images/s [10/17 22:57:53] ppdet.engine INFO: Epoch: [262] [380/523] learning_rate: 0.015043 loss_vfl: 0.716864 loss_bbox: 0.240084 loss_dfl: 0.174028 loss: 1.130383 eta: 12:44:48 batch_cost: 2.3370 data_cost: 0.0019 ips: 23.9621 images/s [10/17 22:58:43] ppdet.engine INFO: Epoch: [262] [400/523] learning_rate: 0.015013 loss_vfl: 0.716181 loss_bbox: 0.234049 loss_dfl: 0.168339 loss: 1.105328 eta: 12:44:01 batch_cost: 2.3906 data_cost: 0.0014 ips: 23.4256 images/s [10/17 22:59:33] ppdet.engine INFO: Epoch: [262] [420/523] learning_rate: 0.014982 loss_vfl: 0.728238 loss_bbox: 0.255158 loss_dfl: 0.177775 loss: 1.154160 eta: 12:43:14 batch_cost: 2.4042 data_cost: 0.0015 ips: 23.2922 images/s [10/17 23:00:22] ppdet.engine INFO: Epoch: [262] [440/523] learning_rate: 0.014952 loss_vfl: 0.701664 loss_bbox: 0.249082 loss_dfl: 0.173670 loss: 1.116469 eta: 12:42:27 batch_cost: 2.3540 data_cost: 0.0025 ips: 23.7894 images/s [10/17 23:01:13] ppdet.engine INFO: Epoch: [262] [460/523] learning_rate: 0.014921 loss_vfl: 0.704652 loss_bbox: 0.256535 loss_dfl: 0.176393 loss: 1.140666 eta: 12:41:40 batch_cost: 2.4158 data_cost: 0.0020 ips: 23.1807 images/s [10/17 23:02:02] ppdet.engine INFO: Epoch: [262] [480/523] learning_rate: 0.014891 loss_vfl: 0.707783 loss_bbox: 0.258245 loss_dfl: 0.177604 loss: 1.175731 eta: 12:40:53 batch_cost: 2.3589 data_cost: 0.0013 ips: 23.7403 images/s [10/17 23:02:51] ppdet.engine INFO: Epoch: [262] [500/523] learning_rate: 0.014861 loss_vfl: 0.714181 loss_bbox: 0.275531 loss_dfl: 0.184482 loss: 1.184495 eta: 12:40:06 batch_cost: 2.3643 data_cost: 0.0015 ips: 23.6860 images/s [10/17 23:03:36] ppdet.engine INFO: Epoch: [262] [520/523] learning_rate: 0.014830 loss_vfl: 0.729293 loss_bbox: 0.261196 loss_dfl: 0.176636 loss: 1.169606 eta: 12:39:18 batch_cost: 2.1163 data_cost: 0.0013 ips: 26.4609 images/s [10/17 23:04:01] ppdet.engine INFO: Epoch: [263] [ 0/523] learning_rate: 0.014826 loss_vfl: 0.729452 loss_bbox: 0.262955 loss_dfl: 0.182660 loss: 1.178530 eta: 12:39:13 batch_cost: 2.7907 data_cost: 0.5437 ips: 20.0663 images/s [10/17 23:04:57] ppdet.engine INFO: Epoch: [263] [ 20/523] learning_rate: 0.014796 loss_vfl: 0.695073 loss_bbox: 0.248511 loss_dfl: 0.180588 loss: 1.130861 eta: 12:38:27 batch_cost: 2.6648 data_cost: 0.0018 ips: 21.0150 images/s [10/17 23:05:50] ppdet.engine INFO: Epoch: [263] [ 40/523] learning_rate: 0.014765 loss_vfl: 0.704352 loss_bbox: 0.255176 loss_dfl: 0.168069 loss: 1.126637 eta: 12:37:40 batch_cost: 2.5127 data_cost: 0.0021 ips: 22.2864 images/s [10/17 23:06:41] ppdet.engine INFO: Epoch: [263] [ 60/523] learning_rate: 0.014735 loss_vfl: 0.699096 loss_bbox: 0.280586 loss_dfl: 0.190011 loss: 1.176821 eta: 12:36:53 batch_cost: 2.4226 data_cost: 0.0014 ips: 23.1157 images/s [10/17 23:07:32] ppdet.engine INFO: Epoch: [263] [ 80/523] learning_rate: 0.014705 loss_vfl: 0.703479 loss_bbox: 0.243998 loss_dfl: 0.169966 loss: 1.127975 eta: 12:36:07 batch_cost: 2.4181 data_cost: 0.0013 ips: 23.1585 images/s [10/17 23:08:22] ppdet.engine INFO: Epoch: [263] [100/523] learning_rate: 0.014675 loss_vfl: 0.701860 loss_bbox: 0.253420 loss_dfl: 0.182343 loss: 1.141176 eta: 12:35:20 batch_cost: 2.3950 data_cost: 0.0014 ips: 23.3823 images/s [10/17 23:09:13] ppdet.engine INFO: Epoch: [263] [120/523] learning_rate: 0.014645 loss_vfl: 0.696572 loss_bbox: 0.237693 loss_dfl: 0.173872 loss: 1.103745 eta: 12:34:33 batch_cost: 2.4247 data_cost: 0.0014 ips: 23.0955 images/s [10/17 23:10:03] ppdet.engine INFO: Epoch: [263] [140/523] learning_rate: 0.014615 loss_vfl: 0.717342 loss_bbox: 0.246916 loss_dfl: 0.179743 loss: 1.155394 eta: 12:33:46 batch_cost: 2.4134 data_cost: 0.0015 ips: 23.2040 images/s [10/17 23:10:54] ppdet.engine INFO: Epoch: [263] [160/523] learning_rate: 0.014585 loss_vfl: 0.718687 loss_bbox: 0.259422 loss_dfl: 0.188460 loss: 1.164666 eta: 12:32:59 batch_cost: 2.3991 data_cost: 0.0021 ips: 23.3421 images/s [10/17 23:11:44] ppdet.engine INFO: Epoch: [263] [180/523] learning_rate: 0.014555 loss_vfl: 0.714079 loss_bbox: 0.256848 loss_dfl: 0.174923 loss: 1.144350 eta: 12:32:12 batch_cost: 2.4061 data_cost: 0.0030 ips: 23.2745 images/s [10/17 23:12:33] ppdet.engine INFO: Epoch: [263] [200/523] learning_rate: 0.014525 loss_vfl: 0.709536 loss_bbox: 0.245926 loss_dfl: 0.180215 loss: 1.124817 eta: 12:31:25 batch_cost: 2.3643 data_cost: 0.0013 ips: 23.6861 images/s [10/17 23:13:24] ppdet.engine INFO: Epoch: [263] [220/523] learning_rate: 0.014495 loss_vfl: 0.697374 loss_bbox: 0.270830 loss_dfl: 0.186591 loss: 1.172516 eta: 12:30:38 batch_cost: 2.4045 data_cost: 0.0014 ips: 23.2899 images/s [10/17 23:14:15] ppdet.engine INFO: Epoch: [263] [240/523] learning_rate: 0.014465 loss_vfl: 0.696491 loss_bbox: 0.245484 loss_dfl: 0.169927 loss: 1.113908 eta: 12:29:51 batch_cost: 2.4416 data_cost: 0.0013 ips: 22.9361 images/s [10/17 23:15:07] ppdet.engine INFO: Epoch: [263] [260/523] learning_rate: 0.014435 loss_vfl: 0.717183 loss_bbox: 0.249965 loss_dfl: 0.173637 loss: 1.141387 eta: 12:29:04 batch_cost: 2.4884 data_cost: 0.0013 ips: 22.5043 images/s [10/17 23:16:00] ppdet.engine INFO: Epoch: [263] [280/523] learning_rate: 0.014405 loss_vfl: 0.716704 loss_bbox: 0.261879 loss_dfl: 0.177488 loss: 1.150057 eta: 12:28:18 batch_cost: 2.5196 data_cost: 0.0029 ips: 22.2259 images/s [10/17 23:16:50] ppdet.engine INFO: Epoch: [263] [300/523] learning_rate: 0.014375 loss_vfl: 0.717162 loss_bbox: 0.254501 loss_dfl: 0.177803 loss: 1.160487 eta: 12:27:31 batch_cost: 2.4069 data_cost: 0.0012 ips: 23.2661 images/s [10/17 23:17:39] ppdet.engine INFO: Epoch: [263] [320/523] learning_rate: 0.014345 loss_vfl: 0.708205 loss_bbox: 0.256840 loss_dfl: 0.184402 loss: 1.151568 eta: 12:26:44 batch_cost: 2.3512 data_cost: 0.0015 ips: 23.8172 images/s [10/17 23:18:28] ppdet.engine INFO: Epoch: [263] [340/523] learning_rate: 0.014316 loss_vfl: 0.694552 loss_bbox: 0.251075 loss_dfl: 0.174800 loss: 1.131362 eta: 12:25:57 batch_cost: 2.3445 data_cost: 0.0013 ips: 23.8861 images/s [10/17 23:19:19] ppdet.engine INFO: Epoch: [263] [360/523] learning_rate: 0.014286 loss_vfl: 0.707078 loss_bbox: 0.260270 loss_dfl: 0.182049 loss: 1.148465 eta: 12:25:10 batch_cost: 2.4142 data_cost: 0.0014 ips: 23.1959 images/s [10/17 23:20:09] ppdet.engine INFO: Epoch: [263] [380/523] learning_rate: 0.014256 loss_vfl: 0.710297 loss_bbox: 0.251141 loss_dfl: 0.173816 loss: 1.134227 eta: 12:24:23 batch_cost: 2.4031 data_cost: 0.0019 ips: 23.3036 images/s [10/17 23:20:59] ppdet.engine INFO: Epoch: [263] [400/523] learning_rate: 0.014227 loss_vfl: 0.697895 loss_bbox: 0.256122 loss_dfl: 0.178431 loss: 1.138753 eta: 12:23:36 batch_cost: 2.3922 data_cost: 0.0014 ips: 23.4095 images/s [10/17 23:21:51] ppdet.engine INFO: Epoch: [263] [420/523] learning_rate: 0.014197 loss_vfl: 0.718495 loss_bbox: 0.266792 loss_dfl: 0.182815 loss: 1.157532 eta: 12:22:49 batch_cost: 2.4738 data_cost: 0.0029 ips: 22.6370 images/s [10/17 23:22:42] ppdet.engine INFO: Epoch: [263] [440/523] learning_rate: 0.014167 loss_vfl: 0.702072 loss_bbox: 0.256952 loss_dfl: 0.178469 loss: 1.143787 eta: 12:22:02 batch_cost: 2.4237 data_cost: 0.0014 ips: 23.1056 images/s [10/17 23:23:33] ppdet.engine INFO: Epoch: [263] [460/523] learning_rate: 0.014138 loss_vfl: 0.698311 loss_bbox: 0.252578 loss_dfl: 0.185748 loss: 1.145690 eta: 12:21:15 batch_cost: 2.4924 data_cost: 0.0025 ips: 22.4679 images/s [10/17 23:24:22] ppdet.engine INFO: Epoch: [263] [480/523] learning_rate: 0.014108 loss_vfl: 0.709396 loss_bbox: 0.265490 loss_dfl: 0.185207 loss: 1.171914 eta: 12:20:28 batch_cost: 2.3160 data_cost: 0.0013 ips: 24.1799 images/s [10/17 23:25:10] ppdet.engine INFO: Epoch: [263] [500/523] learning_rate: 0.014079 loss_vfl: 0.711326 loss_bbox: 0.254274 loss_dfl: 0.176698 loss: 1.152038 eta: 12:19:41 batch_cost: 2.3012 data_cost: 0.0013 ips: 24.3354 images/s [10/17 23:25:54] ppdet.engine INFO: Epoch: [263] [520/523] learning_rate: 0.014049 loss_vfl: 0.712911 loss_bbox: 0.259643 loss_dfl: 0.179877 loss: 1.153136 eta: 12:18:53 batch_cost: 2.1096 data_cost: 0.0013 ips: 26.5451 images/s [10/17 23:26:26] ppdet.engine INFO: Epoch: [264] [ 0/523] learning_rate: 0.014045 loss_vfl: 0.707024 loss_bbox: 0.260823 loss_dfl: 0.178081 loss: 1.153136 eta: 12:18:49 batch_cost: 3.1302 data_cost: 0.7405 ips: 17.8902 images/s [10/17 23:27:16] ppdet.engine INFO: Epoch: [264] [ 20/523] learning_rate: 0.014015 loss_vfl: 0.688621 loss_bbox: 0.250570 loss_dfl: 0.180588 loss: 1.126176 eta: 12:18:02 batch_cost: 2.3694 data_cost: 0.0024 ips: 23.6345 images/s [10/17 23:28:07] ppdet.engine INFO: Epoch: [264] [ 40/523] learning_rate: 0.013986 loss_vfl: 0.707317 loss_bbox: 0.259121 loss_dfl: 0.175849 loss: 1.138348 eta: 12:17:15 batch_cost: 2.4624 data_cost: 0.0016 ips: 22.7424 images/s [10/17 23:28:57] ppdet.engine INFO: Epoch: [264] [ 60/523] learning_rate: 0.013956 loss_vfl: 0.699561 loss_bbox: 0.242909 loss_dfl: 0.172766 loss: 1.119934 eta: 12:16:28 batch_cost: 2.3677 data_cost: 0.0013 ips: 23.6519 images/s [10/17 23:29:47] ppdet.engine INFO: Epoch: [264] [ 80/523] learning_rate: 0.013927 loss_vfl: 0.702168 loss_bbox: 0.253848 loss_dfl: 0.180380 loss: 1.131197 eta: 12:15:41 batch_cost: 2.4220 data_cost: 0.0013 ips: 23.1215 images/s [10/17 23:30:38] ppdet.engine INFO: Epoch: [264] [100/523] learning_rate: 0.013898 loss_vfl: 0.708571 loss_bbox: 0.254170 loss_dfl: 0.169112 loss: 1.125870 eta: 12:14:54 batch_cost: 2.4072 data_cost: 0.0029 ips: 23.2637 images/s [10/17 23:31:28] ppdet.engine INFO: Epoch: [264] [120/523] learning_rate: 0.013868 loss_vfl: 0.716032 loss_bbox: 0.253554 loss_dfl: 0.177159 loss: 1.137814 eta: 12:14:07 batch_cost: 2.4156 data_cost: 0.0013 ips: 23.1825 images/s [10/17 23:32:18] ppdet.engine INFO: Epoch: [264] [140/523] learning_rate: 0.013839 loss_vfl: 0.704464 loss_bbox: 0.254681 loss_dfl: 0.179921 loss: 1.126297 eta: 12:13:20 batch_cost: 2.4137 data_cost: 0.0013 ips: 23.2012 images/s [10/17 23:33:08] ppdet.engine INFO: Epoch: [264] [160/523] learning_rate: 0.013810 loss_vfl: 0.716509 loss_bbox: 0.248634 loss_dfl: 0.172241 loss: 1.131736 eta: 12:12:33 batch_cost: 2.3750 data_cost: 0.0013 ips: 23.5791 images/s [10/17 23:33:58] ppdet.engine INFO: Epoch: [264] [180/523] learning_rate: 0.013781 loss_vfl: 0.692583 loss_bbox: 0.247173 loss_dfl: 0.175923 loss: 1.116528 eta: 12:11:46 batch_cost: 2.3984 data_cost: 0.0014 ips: 23.3485 images/s [10/17 23:34:48] ppdet.engine INFO: Epoch: [264] [200/523] learning_rate: 0.013751 loss_vfl: 0.701321 loss_bbox: 0.268486 loss_dfl: 0.183740 loss: 1.153854 eta: 12:10:59 batch_cost: 2.3868 data_cost: 0.0013 ips: 23.4623 images/s [10/17 23:35:38] ppdet.engine INFO: Epoch: [264] [220/523] learning_rate: 0.013722 loss_vfl: 0.682570 loss_bbox: 0.252120 loss_dfl: 0.183223 loss: 1.122470 eta: 12:10:12 batch_cost: 2.3864 data_cost: 0.0014 ips: 23.4667 images/s [10/17 23:36:28] ppdet.engine INFO: Epoch: [264] [240/523] learning_rate: 0.013693 loss_vfl: 0.704777 loss_bbox: 0.248742 loss_dfl: 0.175335 loss: 1.137700 eta: 12:09:25 batch_cost: 2.4066 data_cost: 0.0016 ips: 23.2696 images/s [10/17 23:37:18] ppdet.engine INFO: Epoch: [264] [260/523] learning_rate: 0.013664 loss_vfl: 0.713544 loss_bbox: 0.262960 loss_dfl: 0.177608 loss: 1.134531 eta: 12:08:38 batch_cost: 2.3719 data_cost: 0.0013 ips: 23.6101 images/s [10/17 23:38:09] ppdet.engine INFO: Epoch: [264] [280/523] learning_rate: 0.013635 loss_vfl: 0.708940 loss_bbox: 0.270650 loss_dfl: 0.184002 loss: 1.164740 eta: 12:07:51 batch_cost: 2.4356 data_cost: 0.0028 ips: 22.9921 images/s [10/17 23:38:58] ppdet.engine INFO: Epoch: [264] [300/523] learning_rate: 0.013606 loss_vfl: 0.718508 loss_bbox: 0.269659 loss_dfl: 0.188397 loss: 1.206718 eta: 12:07:04 batch_cost: 2.3260 data_cost: 0.0013 ips: 24.0754 images/s [10/17 23:39:48] ppdet.engine INFO: Epoch: [264] [320/523] learning_rate: 0.013577 loss_vfl: 0.695029 loss_bbox: 0.260456 loss_dfl: 0.181395 loss: 1.142027 eta: 12:06:17 batch_cost: 2.4052 data_cost: 0.0013 ips: 23.2826 images/s [10/17 23:40:39] ppdet.engine INFO: Epoch: [264] [340/523] learning_rate: 0.013548 loss_vfl: 0.707240 loss_bbox: 0.253872 loss_dfl: 0.176340 loss: 1.145492 eta: 12:05:31 batch_cost: 2.4651 data_cost: 0.0015 ips: 22.7175 images/s [10/17 23:41:31] ppdet.engine INFO: Epoch: [264] [360/523] learning_rate: 0.013519 loss_vfl: 0.708063 loss_bbox: 0.260772 loss_dfl: 0.179156 loss: 1.146407 eta: 12:04:44 batch_cost: 2.4761 data_cost: 0.0015 ips: 22.6159 images/s [10/17 23:42:23] ppdet.engine INFO: Epoch: [264] [380/523] learning_rate: 0.013490 loss_vfl: 0.715140 loss_bbox: 0.272121 loss_dfl: 0.183136 loss: 1.187482 eta: 12:03:57 batch_cost: 2.4961 data_cost: 0.0013 ips: 22.4351 images/s [10/17 23:43:13] ppdet.engine INFO: Epoch: [264] [400/523] learning_rate: 0.013461 loss_vfl: 0.701532 loss_bbox: 0.239518 loss_dfl: 0.165821 loss: 1.125146 eta: 12:03:10 batch_cost: 2.4104 data_cost: 0.0035 ips: 23.2324 images/s [10/17 23:44:03] ppdet.engine INFO: Epoch: [264] [420/523] learning_rate: 0.013432 loss_vfl: 0.703533 loss_bbox: 0.260285 loss_dfl: 0.184909 loss: 1.158413 eta: 12:02:23 batch_cost: 2.3681 data_cost: 0.0021 ips: 23.6472 images/s [10/17 23:44:53] ppdet.engine INFO: Epoch: [264] [440/523] learning_rate: 0.013403 loss_vfl: 0.715816 loss_bbox: 0.235530 loss_dfl: 0.175958 loss: 1.134028 eta: 12:01:36 batch_cost: 2.3828 data_cost: 0.0013 ips: 23.5014 images/s [10/17 23:45:42] ppdet.engine INFO: Epoch: [264] [460/523] learning_rate: 0.013374 loss_vfl: 0.705445 loss_bbox: 0.262664 loss_dfl: 0.175608 loss: 1.151463 eta: 12:00:49 batch_cost: 2.3764 data_cost: 0.0013 ips: 23.5654 images/s [10/17 23:46:32] ppdet.engine INFO: Epoch: [264] [480/523] learning_rate: 0.013346 loss_vfl: 0.704391 loss_bbox: 0.253529 loss_dfl: 0.179324 loss: 1.121006 eta: 12:00:02 batch_cost: 2.4003 data_cost: 0.0013 ips: 23.3302 images/s [10/17 23:47:21] ppdet.engine INFO: Epoch: [264] [500/523] learning_rate: 0.013317 loss_vfl: 0.711941 loss_bbox: 0.246042 loss_dfl: 0.176987 loss: 1.120070 eta: 11:59:15 batch_cost: 2.3415 data_cost: 0.0013 ips: 23.9164 images/s [10/17 23:48:05] ppdet.engine INFO: Epoch: [264] [520/523] learning_rate: 0.013288 loss_vfl: 0.718607 loss_bbox: 0.253070 loss_dfl: 0.177699 loss: 1.143090 eta: 11:58:27 batch_cost: 2.0950 data_cost: 0.0013 ips: 26.7307 images/s [10/17 23:48:34] ppdet.engine INFO: Epoch: [265] [ 0/523] learning_rate: 0.013284 loss_vfl: 0.716106 loss_bbox: 0.253070 loss_dfl: 0.173773 loss: 1.135978 eta: 11:58:22 batch_cost: 2.9621 data_cost: 0.7068 ips: 18.9055 images/s [10/17 23:49:29] ppdet.engine INFO: Epoch: [265] [ 20/523] learning_rate: 0.013255 loss_vfl: 0.721784 loss_bbox: 0.257137 loss_dfl: 0.182413 loss: 1.170173 eta: 11:57:36 batch_cost: 2.5987 data_cost: 0.0012 ips: 21.5494 images/s [10/17 23:50:20] ppdet.engine INFO: Epoch: [265] [ 40/523] learning_rate: 0.013227 loss_vfl: 0.703371 loss_bbox: 0.259291 loss_dfl: 0.180706 loss: 1.142887 eta: 11:56:49 batch_cost: 2.4411 data_cost: 0.0049 ips: 22.9406 images/s [10/17 23:51:11] ppdet.engine INFO: Epoch: [265] [ 60/523] learning_rate: 0.013198 loss_vfl: 0.699568 loss_bbox: 0.278585 loss_dfl: 0.184799 loss: 1.158025 eta: 11:56:02 batch_cost: 2.4682 data_cost: 0.0020 ips: 22.6890 images/s [10/17 23:52:02] ppdet.engine INFO: Epoch: [265] [ 80/523] learning_rate: 0.013169 loss_vfl: 0.699670 loss_bbox: 0.262113 loss_dfl: 0.176639 loss: 1.131762 eta: 11:55:15 batch_cost: 2.4450 data_cost: 0.0013 ips: 22.9037 images/s [10/17 23:52:52] ppdet.engine INFO: Epoch: [265] [100/523] learning_rate: 0.013141 loss_vfl: 0.702976 loss_bbox: 0.270790 loss_dfl: 0.186487 loss: 1.152771 eta: 11:54:28 batch_cost: 2.4078 data_cost: 0.0012 ips: 23.2579 images/s [10/17 23:53:41] ppdet.engine INFO: Epoch: [265] [120/523] learning_rate: 0.013112 loss_vfl: 0.713227 loss_bbox: 0.246270 loss_dfl: 0.175150 loss: 1.130079 eta: 11:53:41 batch_cost: 2.3301 data_cost: 0.0012 ips: 24.0333 images/s [10/17 23:54:28] ppdet.engine INFO: Epoch: [265] [140/523] learning_rate: 0.013084 loss_vfl: 0.693752 loss_bbox: 0.251997 loss_dfl: 0.184231 loss: 1.129265 eta: 11:52:54 batch_cost: 2.2320 data_cost: 0.0012 ips: 25.0900 images/s [10/17 23:55:18] ppdet.engine INFO: Epoch: [265] [160/523] learning_rate: 0.013055 loss_vfl: 0.696288 loss_bbox: 0.270370 loss_dfl: 0.178998 loss: 1.150920 eta: 11:52:07 batch_cost: 2.3951 data_cost: 0.0012 ips: 23.3808 images/s [10/17 23:56:08] ppdet.engine INFO: Epoch: [265] [180/523] learning_rate: 0.013027 loss_vfl: 0.707569 loss_bbox: 0.264426 loss_dfl: 0.183849 loss: 1.164915 eta: 11:51:20 batch_cost: 2.3686 data_cost: 0.0012 ips: 23.6426 images/s [10/17 23:56:58] ppdet.engine INFO: Epoch: [265] [200/523] learning_rate: 0.012998 loss_vfl: 0.713801 loss_bbox: 0.238675 loss_dfl: 0.171456 loss: 1.131071 eta: 11:50:33 batch_cost: 2.4076 data_cost: 0.0013 ips: 23.2598 images/s [10/17 23:57:47] ppdet.engine INFO: Epoch: [265] [220/523] learning_rate: 0.012970 loss_vfl: 0.705474 loss_bbox: 0.254430 loss_dfl: 0.179734 loss: 1.143171 eta: 11:49:46 batch_cost: 2.3620 data_cost: 0.0012 ips: 23.7089 images/s [10/17 23:58:37] ppdet.engine INFO: Epoch: [265] [240/523] learning_rate: 0.012942 loss_vfl: 0.707080 loss_bbox: 0.256174 loss_dfl: 0.171197 loss: 1.136661 eta: 11:48:59 batch_cost: 2.3941 data_cost: 0.0013 ips: 23.3913 images/s [10/17 23:59:26] ppdet.engine INFO: Epoch: [265] [260/523] learning_rate: 0.012913 loss_vfl: 0.707225 loss_bbox: 0.253392 loss_dfl: 0.181713 loss: 1.141522 eta: 11:48:12 batch_cost: 2.3637 data_cost: 0.0013 ips: 23.6918 images/s [10/18 00:00:17] ppdet.engine INFO: Epoch: [265] [280/523] learning_rate: 0.012885 loss_vfl: 0.708189 loss_bbox: 0.268748 loss_dfl: 0.187181 loss: 1.166391 eta: 11:47:25 batch_cost: 2.4376 data_cost: 0.0014 ips: 22.9734 images/s [10/18 00:01:08] ppdet.engine INFO: Epoch: [265] [300/523] learning_rate: 0.012857 loss_vfl: 0.720987 loss_bbox: 0.250811 loss_dfl: 0.175871 loss: 1.148025 eta: 11:46:38 batch_cost: 2.4155 data_cost: 0.0013 ips: 23.1832 images/s [10/18 00:01:58] ppdet.engine INFO: Epoch: [265] [320/523] learning_rate: 0.012829 loss_vfl: 0.695838 loss_bbox: 0.260516 loss_dfl: 0.180335 loss: 1.138547 eta: 11:45:51 batch_cost: 2.3848 data_cost: 0.0016 ips: 23.4822 images/s [10/18 00:02:48] ppdet.engine INFO: Epoch: [265] [340/523] learning_rate: 0.012800 loss_vfl: 0.714135 loss_bbox: 0.269328 loss_dfl: 0.177550 loss: 1.144852 eta: 11:45:04 batch_cost: 2.3665 data_cost: 0.0017 ips: 23.6641 images/s [10/18 00:03:36] ppdet.engine INFO: Epoch: [265] [360/523] learning_rate: 0.012772 loss_vfl: 0.694842 loss_bbox: 0.260462 loss_dfl: 0.178359 loss: 1.151601 eta: 11:44:17 batch_cost: 2.3196 data_cost: 0.0023 ips: 24.1424 images/s [10/18 00:04:26] ppdet.engine INFO: Epoch: [265] [380/523] learning_rate: 0.012744 loss_vfl: 0.687237 loss_bbox: 0.241893 loss_dfl: 0.167087 loss: 1.102766 eta: 11:43:30 batch_cost: 2.3572 data_cost: 0.0013 ips: 23.7571 images/s [10/18 00:05:15] ppdet.engine INFO: Epoch: [265] [400/523] learning_rate: 0.012716 loss_vfl: 0.693358 loss_bbox: 0.250134 loss_dfl: 0.178515 loss: 1.116745 eta: 11:42:42 batch_cost: 2.3196 data_cost: 0.0012 ips: 24.1416 images/s [10/18 00:06:03] ppdet.engine INFO: Epoch: [265] [420/523] learning_rate: 0.012688 loss_vfl: 0.710146 loss_bbox: 0.244239 loss_dfl: 0.173507 loss: 1.122020 eta: 11:41:55 batch_cost: 2.3387 data_cost: 0.0013 ips: 23.9451 images/s [10/18 00:06:53] ppdet.engine INFO: Epoch: [265] [440/523] learning_rate: 0.012660 loss_vfl: 0.690421 loss_bbox: 0.255585 loss_dfl: 0.181865 loss: 1.135693 eta: 11:41:08 batch_cost: 2.3707 data_cost: 0.0013 ips: 23.6215 images/s [10/18 00:07:44] ppdet.engine INFO: Epoch: [265] [460/523] learning_rate: 0.012632 loss_vfl: 0.706798 loss_bbox: 0.275622 loss_dfl: 0.181853 loss: 1.169283 eta: 11:40:21 batch_cost: 2.4483 data_cost: 0.0019 ips: 22.8727 images/s [10/18 00:08:34] ppdet.engine INFO: Epoch: [265] [480/523] learning_rate: 0.012604 loss_vfl: 0.705457 loss_bbox: 0.255865 loss_dfl: 0.176361 loss: 1.136523 eta: 11:39:34 batch_cost: 2.3846 data_cost: 0.0012 ips: 23.4842 images/s [10/18 00:09:23] ppdet.engine INFO: Epoch: [265] [500/523] learning_rate: 0.012576 loss_vfl: 0.707051 loss_bbox: 0.270999 loss_dfl: 0.187293 loss: 1.177097 eta: 11:38:47 batch_cost: 2.3442 data_cost: 0.0013 ips: 23.8886 images/s [10/18 00:10:08] ppdet.engine INFO: Epoch: [265] [520/523] learning_rate: 0.012548 loss_vfl: 0.699459 loss_bbox: 0.262549 loss_dfl: 0.178816 loss: 1.138497 eta: 11:38:00 batch_cost: 2.1459 data_cost: 0.0012 ips: 26.0964 images/s [10/18 00:10:35] ppdet.engine INFO: Epoch: [266] [ 0/523] learning_rate: 0.012544 loss_vfl: 0.699459 loss_bbox: 0.262549 loss_dfl: 0.178816 loss: 1.138497 eta: 11:37:55 batch_cost: 2.9453 data_cost: 0.5182 ips: 19.0133 images/s [10/18 00:11:28] ppdet.engine INFO: Epoch: [266] [ 20/523] learning_rate: 0.012516 loss_vfl: 0.709194 loss_bbox: 0.226168 loss_dfl: 0.167247 loss: 1.112638 eta: 11:37:08 batch_cost: 2.5076 data_cost: 0.0014 ips: 22.3323 images/s [10/18 00:12:19] ppdet.engine INFO: Epoch: [266] [ 40/523] learning_rate: 0.012488 loss_vfl: 0.696613 loss_bbox: 0.267190 loss_dfl: 0.190165 loss: 1.152561 eta: 11:36:21 batch_cost: 2.4153 data_cost: 0.0015 ips: 23.1854 images/s [10/18 00:13:09] ppdet.engine INFO: Epoch: [266] [ 60/523] learning_rate: 0.012460 loss_vfl: 0.700128 loss_bbox: 0.257726 loss_dfl: 0.178599 loss: 1.138826 eta: 11:35:34 batch_cost: 2.3896 data_cost: 0.0012 ips: 23.4351 images/s [10/18 00:13:57] ppdet.engine INFO: Epoch: [266] [ 80/523] learning_rate: 0.012432 loss_vfl: 0.715700 loss_bbox: 0.260555 loss_dfl: 0.180304 loss: 1.159496 eta: 11:34:47 batch_cost: 2.3181 data_cost: 0.0012 ips: 24.1576 images/s [10/18 00:14:46] ppdet.engine INFO: Epoch: [266] [100/523] learning_rate: 0.012404 loss_vfl: 0.714419 loss_bbox: 0.242397 loss_dfl: 0.171281 loss: 1.140936 eta: 11:34:00 batch_cost: 2.3685 data_cost: 0.0013 ips: 23.6437 images/s [10/18 00:15:36] ppdet.engine INFO: Epoch: [266] [120/523] learning_rate: 0.012377 loss_vfl: 0.703832 loss_bbox: 0.263785 loss_dfl: 0.175818 loss: 1.119445 eta: 11:33:13 batch_cost: 2.3765 data_cost: 0.0013 ips: 23.5637 images/s [10/18 00:16:26] ppdet.engine INFO: Epoch: [266] [140/523] learning_rate: 0.012349 loss_vfl: 0.707984 loss_bbox: 0.265218 loss_dfl: 0.178650 loss: 1.153651 eta: 11:32:26 batch_cost: 2.4095 data_cost: 0.0053 ips: 23.2413 images/s [10/18 00:17:17] ppdet.engine INFO: Epoch: [266] [160/523] learning_rate: 0.012321 loss_vfl: 0.706805 loss_bbox: 0.248859 loss_dfl: 0.169588 loss: 1.145910 eta: 11:31:39 batch_cost: 2.4547 data_cost: 0.0014 ips: 22.8135 images/s [10/18 00:18:07] ppdet.engine INFO: Epoch: [266] [180/523] learning_rate: 0.012294 loss_vfl: 0.712579 loss_bbox: 0.256256 loss_dfl: 0.174971 loss: 1.146388 eta: 11:30:52 batch_cost: 2.3783 data_cost: 0.0013 ips: 23.5460 images/s [10/18 00:18:58] ppdet.engine INFO: Epoch: [266] [200/523] learning_rate: 0.012266 loss_vfl: 0.715284 loss_bbox: 0.260060 loss_dfl: 0.176709 loss: 1.148296 eta: 11:30:05 batch_cost: 2.4435 data_cost: 0.0013 ips: 22.9184 images/s [10/18 00:19:48] ppdet.engine INFO: Epoch: [266] [220/523] learning_rate: 0.012238 loss_vfl: 0.706235 loss_bbox: 0.245874 loss_dfl: 0.171474 loss: 1.134166 eta: 11:29:18 batch_cost: 2.3878 data_cost: 0.0013 ips: 23.4522 images/s [10/18 00:20:38] ppdet.engine INFO: Epoch: [266] [240/523] learning_rate: 0.012211 loss_vfl: 0.710201 loss_bbox: 0.269124 loss_dfl: 0.184078 loss: 1.145316 eta: 11:28:31 batch_cost: 2.4126 data_cost: 0.0012 ips: 23.2115 images/s [10/18 00:21:28] ppdet.engine INFO: Epoch: [266] [260/523] learning_rate: 0.012183 loss_vfl: 0.705705 loss_bbox: 0.254934 loss_dfl: 0.180180 loss: 1.139963 eta: 11:27:44 batch_cost: 2.3928 data_cost: 0.0019 ips: 23.4038 images/s [10/18 00:22:18] ppdet.engine INFO: Epoch: [266] [280/523] learning_rate: 0.012156 loss_vfl: 0.701330 loss_bbox: 0.258596 loss_dfl: 0.178102 loss: 1.147117 eta: 11:26:57 batch_cost: 2.4037 data_cost: 0.0013 ips: 23.2977 images/s [10/18 00:23:09] ppdet.engine INFO: Epoch: [266] [300/523] learning_rate: 0.012128 loss_vfl: 0.692713 loss_bbox: 0.258666 loss_dfl: 0.169887 loss: 1.126030 eta: 11:26:10 batch_cost: 2.4229 data_cost: 0.0012 ips: 23.1133 images/s [10/18 00:23:58] ppdet.engine INFO: Epoch: [266] [320/523] learning_rate: 0.012101 loss_vfl: 0.710517 loss_bbox: 0.261230 loss_dfl: 0.181970 loss: 1.169394 eta: 11:25:23 batch_cost: 2.3621 data_cost: 0.0019 ips: 23.7076 images/s [10/18 00:24:49] ppdet.engine INFO: Epoch: [266] [340/523] learning_rate: 0.012073 loss_vfl: 0.695369 loss_bbox: 0.263807 loss_dfl: 0.184746 loss: 1.138648 eta: 11:24:36 batch_cost: 2.4433 data_cost: 0.0025 ips: 22.9197 images/s [10/18 00:25:41] ppdet.engine INFO: Epoch: [266] [360/523] learning_rate: 0.012046 loss_vfl: 0.701113 loss_bbox: 0.262006 loss_dfl: 0.185623 loss: 1.163786 eta: 11:23:49 batch_cost: 2.4895 data_cost: 0.0018 ips: 22.4944 images/s [10/18 00:26:32] ppdet.engine INFO: Epoch: [266] [380/523] learning_rate: 0.012019 loss_vfl: 0.704518 loss_bbox: 0.252055 loss_dfl: 0.177316 loss: 1.122490 eta: 11:23:02 batch_cost: 2.4292 data_cost: 0.0025 ips: 23.0529 images/s [10/18 00:27:20] ppdet.engine INFO: Epoch: [266] [400/523] learning_rate: 0.011991 loss_vfl: 0.713233 loss_bbox: 0.268935 loss_dfl: 0.188527 loss: 1.156176 eta: 11:22:15 batch_cost: 2.3032 data_cost: 0.0013 ips: 24.3140 images/s [10/18 00:28:09] ppdet.engine INFO: Epoch: [266] [420/523] learning_rate: 0.011964 loss_vfl: 0.703001 loss_bbox: 0.252115 loss_dfl: 0.177674 loss: 1.137472 eta: 11:21:28 batch_cost: 2.3636 data_cost: 0.0016 ips: 23.6924 images/s [10/18 00:28:59] ppdet.engine INFO: Epoch: [266] [440/523] learning_rate: 0.011937 loss_vfl: 0.698226 loss_bbox: 0.254457 loss_dfl: 0.177550 loss: 1.135862 eta: 11:20:41 batch_cost: 2.3514 data_cost: 0.0019 ips: 23.8154 images/s [10/18 00:29:50] ppdet.engine INFO: Epoch: [266] [460/523] learning_rate: 0.011909 loss_vfl: 0.706444 loss_bbox: 0.260121 loss_dfl: 0.178516 loss: 1.155548 eta: 11:19:54 batch_cost: 2.4517 data_cost: 0.0012 ips: 22.8410 images/s [10/18 00:30:40] ppdet.engine INFO: Epoch: [266] [480/523] learning_rate: 0.011882 loss_vfl: 0.704188 loss_bbox: 0.241135 loss_dfl: 0.170336 loss: 1.117921 eta: 11:19:07 batch_cost: 2.3702 data_cost: 0.0012 ips: 23.6270 images/s [10/18 00:31:29] ppdet.engine INFO: Epoch: [266] [500/523] learning_rate: 0.011855 loss_vfl: 0.708577 loss_bbox: 0.247128 loss_dfl: 0.175556 loss: 1.134713 eta: 11:18:20 batch_cost: 2.3370 data_cost: 0.0012 ips: 23.9623 images/s [10/18 00:32:13] ppdet.engine INFO: Epoch: [266] [520/523] learning_rate: 0.011828 loss_vfl: 0.716782 loss_bbox: 0.235485 loss_dfl: 0.173128 loss: 1.136864 eta: 11:17:32 batch_cost: 2.1184 data_cost: 0.0012 ips: 26.4356 images/s [10/18 00:32:47] ppdet.engine INFO: Epoch: [267] [ 0/523] learning_rate: 0.011824 loss_vfl: 0.724370 loss_bbox: 0.235564 loss_dfl: 0.175621 loss: 1.144862 eta: 11:17:28 batch_cost: 3.2724 data_cost: 0.8693 ips: 17.1129 images/s [10/18 00:33:38] ppdet.engine INFO: Epoch: [267] [ 20/523] learning_rate: 0.011797 loss_vfl: 0.695627 loss_bbox: 0.273934 loss_dfl: 0.189138 loss: 1.149492 eta: 11:16:41 batch_cost: 2.3921 data_cost: 0.0017 ips: 23.4102 images/s [10/18 00:34:29] ppdet.engine INFO: Epoch: [267] [ 40/523] learning_rate: 0.011770 loss_vfl: 0.703412 loss_bbox: 0.258273 loss_dfl: 0.179077 loss: 1.141756 eta: 11:15:54 batch_cost: 2.4569 data_cost: 0.0016 ips: 22.7926 images/s [10/18 00:35:20] ppdet.engine INFO: Epoch: [267] [ 60/523] learning_rate: 0.011743 loss_vfl: 0.696407 loss_bbox: 0.255098 loss_dfl: 0.180777 loss: 1.128104 eta: 11:15:07 batch_cost: 2.4786 data_cost: 0.0012 ips: 22.5933 images/s [10/18 00:36:11] ppdet.engine INFO: Epoch: [267] [ 80/523] learning_rate: 0.011716 loss_vfl: 0.709754 loss_bbox: 0.260973 loss_dfl: 0.187663 loss: 1.145009 eta: 11:14:20 batch_cost: 2.4311 data_cost: 0.0013 ips: 23.0352 images/s [10/18 00:37:02] ppdet.engine INFO: Epoch: [267] [100/523] learning_rate: 0.011689 loss_vfl: 0.704999 loss_bbox: 0.251215 loss_dfl: 0.175866 loss: 1.137111 eta: 11:13:33 batch_cost: 2.4233 data_cost: 0.0013 ips: 23.1091 images/s [10/18 00:37:51] ppdet.engine INFO: Epoch: [267] [120/523] learning_rate: 0.011662 loss_vfl: 0.688117 loss_bbox: 0.258784 loss_dfl: 0.186042 loss: 1.143928 eta: 11:12:46 batch_cost: 2.3753 data_cost: 0.0013 ips: 23.5759 images/s [10/18 00:38:43] ppdet.engine INFO: Epoch: [267] [140/523] learning_rate: 0.011635 loss_vfl: 0.708983 loss_bbox: 0.262975 loss_dfl: 0.182467 loss: 1.154400 eta: 11:11:59 batch_cost: 2.4438 data_cost: 0.0013 ips: 22.9154 images/s [10/18 00:39:33] ppdet.engine INFO: Epoch: [267] [160/523] learning_rate: 0.011608 loss_vfl: 0.726422 loss_bbox: 0.259573 loss_dfl: 0.176073 loss: 1.151347 eta: 11:11:12 batch_cost: 2.3997 data_cost: 0.0013 ips: 23.3361 images/s [10/18 00:40:24] ppdet.engine INFO: Epoch: [267] [180/523] learning_rate: 0.011581 loss_vfl: 0.691149 loss_bbox: 0.252873 loss_dfl: 0.172267 loss: 1.123421 eta: 11:10:26 batch_cost: 2.4493 data_cost: 0.0014 ips: 22.8640 images/s [10/18 00:41:13] ppdet.engine INFO: Epoch: [267] [200/523] learning_rate: 0.011554 loss_vfl: 0.716163 loss_bbox: 0.252702 loss_dfl: 0.179534 loss: 1.144280 eta: 11:09:38 batch_cost: 2.3577 data_cost: 0.0013 ips: 23.7517 images/s [10/18 00:42:03] ppdet.engine INFO: Epoch: [267] [220/523] learning_rate: 0.011527 loss_vfl: 0.702600 loss_bbox: 0.260188 loss_dfl: 0.183184 loss: 1.138069 eta: 11:08:51 batch_cost: 2.3851 data_cost: 0.0014 ips: 23.4789 images/s [10/18 00:42:53] ppdet.engine INFO: Epoch: [267] [240/523] learning_rate: 0.011500 loss_vfl: 0.700789 loss_bbox: 0.255649 loss_dfl: 0.174528 loss: 1.134125 eta: 11:08:04 batch_cost: 2.4093 data_cost: 0.0013 ips: 23.2434 images/s [10/18 00:43:44] ppdet.engine INFO: Epoch: [267] [260/523] learning_rate: 0.011474 loss_vfl: 0.704378 loss_bbox: 0.250995 loss_dfl: 0.177377 loss: 1.138370 eta: 11:07:17 batch_cost: 2.4187 data_cost: 0.0015 ips: 23.1533 images/s [10/18 00:44:34] ppdet.engine INFO: Epoch: [267] [280/523] learning_rate: 0.011447 loss_vfl: 0.696316 loss_bbox: 0.260590 loss_dfl: 0.178425 loss: 1.141431 eta: 11:06:30 batch_cost: 2.3925 data_cost: 0.0013 ips: 23.4061 images/s [10/18 00:45:24] ppdet.engine INFO: Epoch: [267] [300/523] learning_rate: 0.011420 loss_vfl: 0.688340 loss_bbox: 0.264977 loss_dfl: 0.185072 loss: 1.139031 eta: 11:05:44 batch_cost: 2.4297 data_cost: 0.0013 ips: 23.0485 images/s [10/18 00:46:13] ppdet.engine INFO: Epoch: [267] [320/523] learning_rate: 0.011394 loss_vfl: 0.716487 loss_bbox: 0.237689 loss_dfl: 0.172354 loss: 1.123318 eta: 11:04:56 batch_cost: 2.3145 data_cost: 0.0013 ips: 24.1954 images/s [10/18 00:47:02] ppdet.engine INFO: Epoch: [267] [340/523] learning_rate: 0.011367 loss_vfl: 0.694041 loss_bbox: 0.261327 loss_dfl: 0.179700 loss: 1.136779 eta: 11:04:09 batch_cost: 2.3556 data_cost: 0.0013 ips: 23.7728 images/s [10/18 00:47:51] ppdet.engine INFO: Epoch: [267] [360/523] learning_rate: 0.011340 loss_vfl: 0.701899 loss_bbox: 0.267410 loss_dfl: 0.178866 loss: 1.147046 eta: 11:03:22 batch_cost: 2.3641 data_cost: 0.0013 ips: 23.6880 images/s [10/18 00:48:41] ppdet.engine INFO: Epoch: [267] [380/523] learning_rate: 0.011314 loss_vfl: 0.715143 loss_bbox: 0.249458 loss_dfl: 0.172756 loss: 1.140787 eta: 11:02:35 batch_cost: 2.3855 data_cost: 0.0014 ips: 23.4748 images/s [10/18 00:49:32] ppdet.engine INFO: Epoch: [267] [400/523] learning_rate: 0.011287 loss_vfl: 0.700497 loss_bbox: 0.246464 loss_dfl: 0.176030 loss: 1.129538 eta: 11:01:48 batch_cost: 2.4392 data_cost: 0.0013 ips: 22.9581 images/s [10/18 00:50:24] ppdet.engine INFO: Epoch: [267] [420/523] learning_rate: 0.011261 loss_vfl: 0.716006 loss_bbox: 0.267935 loss_dfl: 0.178718 loss: 1.157013 eta: 11:01:01 batch_cost: 2.4437 data_cost: 0.0014 ips: 22.9162 images/s [10/18 00:51:14] ppdet.engine INFO: Epoch: [267] [440/523] learning_rate: 0.011234 loss_vfl: 0.700878 loss_bbox: 0.266602 loss_dfl: 0.182670 loss: 1.165865 eta: 11:00:14 batch_cost: 2.4132 data_cost: 0.0014 ips: 23.2053 images/s [10/18 00:52:04] ppdet.engine INFO: Epoch: [267] [460/523] learning_rate: 0.011208 loss_vfl: 0.701807 loss_bbox: 0.274014 loss_dfl: 0.181296 loss: 1.167947 eta: 10:59:27 batch_cost: 2.3750 data_cost: 0.0014 ips: 23.5794 images/s [10/18 00:52:54] ppdet.engine INFO: Epoch: [267] [480/523] learning_rate: 0.011181 loss_vfl: 0.699135 loss_bbox: 0.265274 loss_dfl: 0.178117 loss: 1.148776 eta: 10:58:40 batch_cost: 2.4206 data_cost: 0.0013 ips: 23.1344 images/s [10/18 00:53:44] ppdet.engine INFO: Epoch: [267] [500/523] learning_rate: 0.011155 loss_vfl: 0.705280 loss_bbox: 0.250806 loss_dfl: 0.176433 loss: 1.124490 eta: 10:57:53 batch_cost: 2.3697 data_cost: 0.0024 ips: 23.6315 images/s [10/18 00:54:28] ppdet.engine INFO: Epoch: [267] [520/523] learning_rate: 0.011129 loss_vfl: 0.710104 loss_bbox: 0.254685 loss_dfl: 0.181856 loss: 1.147579 eta: 10:57:06 batch_cost: 2.1133 data_cost: 0.0013 ips: 26.4985 images/s [10/18 00:54:58] ppdet.engine INFO: Epoch: [268] [ 0/523] learning_rate: 0.011125 loss_vfl: 0.716179 loss_bbox: 0.257288 loss_dfl: 0.182826 loss: 1.155679 eta: 10:57:01 batch_cost: 3.0169 data_cost: 0.7764 ips: 18.5623 images/s [10/18 00:55:50] ppdet.engine INFO: Epoch: [268] [ 20/523] learning_rate: 0.011098 loss_vfl: 0.695689 loss_bbox: 0.261189 loss_dfl: 0.174287 loss: 1.121948 eta: 10:56:14 batch_cost: 2.4738 data_cost: 0.0025 ips: 22.6373 images/s [10/18 00:56:40] ppdet.engine INFO: Epoch: [268] [ 40/523] learning_rate: 0.011072 loss_vfl: 0.708232 loss_bbox: 0.262967 loss_dfl: 0.185382 loss: 1.160744 eta: 10:55:27 batch_cost: 2.4135 data_cost: 0.0013 ips: 23.2031 images/s [10/18 00:57:31] ppdet.engine INFO: Epoch: [268] [ 60/523] learning_rate: 0.011046 loss_vfl: 0.687893 loss_bbox: 0.265686 loss_dfl: 0.181147 loss: 1.150943 eta: 10:54:40 batch_cost: 2.4420 data_cost: 0.0025 ips: 22.9324 images/s [10/18 00:58:22] ppdet.engine INFO: Epoch: [268] [ 80/523] learning_rate: 0.011020 loss_vfl: 0.688299 loss_bbox: 0.243247 loss_dfl: 0.169240 loss: 1.100217 eta: 10:53:53 batch_cost: 2.3877 data_cost: 0.0015 ips: 23.4536 images/s [10/18 00:59:11] ppdet.engine INFO: Epoch: [268] [100/523] learning_rate: 0.010993 loss_vfl: 0.709502 loss_bbox: 0.255580 loss_dfl: 0.176933 loss: 1.138490 eta: 10:53:06 batch_cost: 2.3756 data_cost: 0.0015 ips: 23.5727 images/s [10/18 01:00:02] ppdet.engine INFO: Epoch: [268] [120/523] learning_rate: 0.010967 loss_vfl: 0.713433 loss_bbox: 0.248710 loss_dfl: 0.176944 loss: 1.131700 eta: 10:52:19 batch_cost: 2.4394 data_cost: 0.0013 ips: 22.9561 images/s [10/18 01:00:55] ppdet.engine INFO: Epoch: [268] [140/523] learning_rate: 0.010941 loss_vfl: 0.708205 loss_bbox: 0.247372 loss_dfl: 0.176184 loss: 1.129566 eta: 10:51:32 batch_cost: 2.4941 data_cost: 0.0014 ips: 22.4528 images/s [10/18 01:01:46] ppdet.engine INFO: Epoch: [268] [160/523] learning_rate: 0.010915 loss_vfl: 0.702780 loss_bbox: 0.247393 loss_dfl: 0.175170 loss: 1.105780 eta: 10:50:45 batch_cost: 2.4422 data_cost: 0.0023 ips: 22.9299 images/s [10/18 01:02:35] ppdet.engine INFO: Epoch: [268] [180/523] learning_rate: 0.010889 loss_vfl: 0.694383 loss_bbox: 0.251834 loss_dfl: 0.173835 loss: 1.122533 eta: 10:49:58 batch_cost: 2.3524 data_cost: 0.0013 ips: 23.8055 images/s [10/18 01:03:26] ppdet.engine INFO: Epoch: [268] [200/523] learning_rate: 0.010863 loss_vfl: 0.707579 loss_bbox: 0.244239 loss_dfl: 0.177785 loss: 1.128652 eta: 10:49:11 batch_cost: 2.4036 data_cost: 0.0013 ips: 23.2982 images/s [10/18 01:04:16] ppdet.engine INFO: Epoch: [268] [220/523] learning_rate: 0.010837 loss_vfl: 0.709421 loss_bbox: 0.254835 loss_dfl: 0.172349 loss: 1.110665 eta: 10:48:24 batch_cost: 2.3860 data_cost: 0.0015 ips: 23.4701 images/s [10/18 01:05:05] ppdet.engine INFO: Epoch: [268] [240/523] learning_rate: 0.010811 loss_vfl: 0.697110 loss_bbox: 0.252548 loss_dfl: 0.184218 loss: 1.162030 eta: 10:47:37 batch_cost: 2.3718 data_cost: 0.0013 ips: 23.6105 images/s [10/18 01:05:55] ppdet.engine INFO: Epoch: [268] [260/523] learning_rate: 0.010785 loss_vfl: 0.715441 loss_bbox: 0.244366 loss_dfl: 0.171274 loss: 1.132091 eta: 10:46:50 batch_cost: 2.3923 data_cost: 0.0012 ips: 23.4085 images/s [10/18 01:06:46] ppdet.engine INFO: Epoch: [268] [280/523] learning_rate: 0.010759 loss_vfl: 0.699175 loss_bbox: 0.232318 loss_dfl: 0.169127 loss: 1.109221 eta: 10:46:03 batch_cost: 2.4425 data_cost: 0.0013 ips: 22.9275 images/s [10/18 01:07:37] ppdet.engine INFO: Epoch: [268] [300/523] learning_rate: 0.010733 loss_vfl: 0.694637 loss_bbox: 0.241121 loss_dfl: 0.171281 loss: 1.112159 eta: 10:45:16 batch_cost: 2.4067 data_cost: 0.0012 ips: 23.2679 images/s [10/18 01:08:27] ppdet.engine INFO: Epoch: [268] [320/523] learning_rate: 0.010707 loss_vfl: 0.691782 loss_bbox: 0.245165 loss_dfl: 0.175903 loss: 1.124112 eta: 10:44:29 batch_cost: 2.4304 data_cost: 0.0016 ips: 23.0410 images/s [10/18 01:09:16] ppdet.engine INFO: Epoch: [268] [340/523] learning_rate: 0.010681 loss_vfl: 0.707366 loss_bbox: 0.265069 loss_dfl: 0.183009 loss: 1.149294 eta: 10:43:42 batch_cost: 2.3496 data_cost: 0.0026 ips: 23.8340 images/s [10/18 01:10:05] ppdet.engine INFO: Epoch: [268] [360/523] learning_rate: 0.010656 loss_vfl: 0.714716 loss_bbox: 0.273912 loss_dfl: 0.190575 loss: 1.178873 eta: 10:42:55 batch_cost: 2.3268 data_cost: 0.0012 ips: 24.0677 images/s [10/18 01:10:54] ppdet.engine INFO: Epoch: [268] [380/523] learning_rate: 0.010630 loss_vfl: 0.715711 loss_bbox: 0.266902 loss_dfl: 0.174048 loss: 1.163663 eta: 10:42:08 batch_cost: 2.3490 data_cost: 0.0013 ips: 23.8394 images/s [10/18 01:11:44] ppdet.engine INFO: Epoch: [268] [400/523] learning_rate: 0.010604 loss_vfl: 0.699780 loss_bbox: 0.250561 loss_dfl: 0.177994 loss: 1.137216 eta: 10:41:21 batch_cost: 2.3632 data_cost: 0.0013 ips: 23.6965 images/s [10/18 01:12:34] ppdet.engine INFO: Epoch: [268] [420/523] learning_rate: 0.010578 loss_vfl: 0.688796 loss_bbox: 0.255444 loss_dfl: 0.176798 loss: 1.118415 eta: 10:40:34 batch_cost: 2.3939 data_cost: 0.0013 ips: 23.3927 images/s [10/18 01:13:23] ppdet.engine INFO: Epoch: [268] [440/523] learning_rate: 0.010553 loss_vfl: 0.704420 loss_bbox: 0.256415 loss_dfl: 0.175506 loss: 1.126336 eta: 10:39:47 batch_cost: 2.3729 data_cost: 0.0014 ips: 23.5996 images/s [10/18 01:14:12] ppdet.engine INFO: Epoch: [268] [460/523] learning_rate: 0.010527 loss_vfl: 0.707820 loss_bbox: 0.273217 loss_dfl: 0.182908 loss: 1.162375 eta: 10:38:59 batch_cost: 2.3213 data_cost: 0.0022 ips: 24.1241 images/s [10/18 01:15:02] ppdet.engine INFO: Epoch: [268] [480/523] learning_rate: 0.010501 loss_vfl: 0.694866 loss_bbox: 0.251143 loss_dfl: 0.177931 loss: 1.129901 eta: 10:38:12 batch_cost: 2.3848 data_cost: 0.0013 ips: 23.4818 images/s [10/18 01:15:51] ppdet.engine INFO: Epoch: [268] [500/523] learning_rate: 0.010476 loss_vfl: 0.715436 loss_bbox: 0.260968 loss_dfl: 0.184437 loss: 1.180558 eta: 10:37:25 batch_cost: 2.3613 data_cost: 0.0026 ips: 23.7157 images/s [10/18 01:16:35] ppdet.engine INFO: Epoch: [268] [520/523] learning_rate: 0.010450 loss_vfl: 0.697258 loss_bbox: 0.240486 loss_dfl: 0.180863 loss: 1.121705 eta: 10:36:38 batch_cost: 2.0832 data_cost: 0.0012 ips: 26.8815 images/s [10/18 01:17:03] ppdet.engine INFO: Epoch: [269] [ 0/523] learning_rate: 0.010446 loss_vfl: 0.695807 loss_bbox: 0.258271 loss_dfl: 0.182851 loss: 1.140929 eta: 10:36:32 batch_cost: 2.8502 data_cost: 0.6876 ips: 19.6477 images/s [10/18 01:17:55] ppdet.engine INFO: Epoch: [269] [ 20/523] learning_rate: 0.010421 loss_vfl: 0.691609 loss_bbox: 0.258673 loss_dfl: 0.176711 loss: 1.136289 eta: 10:35:45 batch_cost: 2.3737 data_cost: 0.0013 ips: 23.5919 images/s [10/18 01:18:45] ppdet.engine INFO: Epoch: [269] [ 40/523] learning_rate: 0.010395 loss_vfl: 0.694791 loss_bbox: 0.254008 loss_dfl: 0.176290 loss: 1.122632 eta: 10:34:58 batch_cost: 2.4062 data_cost: 0.0013 ips: 23.2733 images/s [10/18 01:19:34] ppdet.engine INFO: Epoch: [269] [ 60/523] learning_rate: 0.010370 loss_vfl: 0.691684 loss_bbox: 0.269515 loss_dfl: 0.181070 loss: 1.156067 eta: 10:34:11 batch_cost: 2.3424 data_cost: 0.0014 ips: 23.9072 images/s [10/18 01:20:24] ppdet.engine INFO: Epoch: [269] [ 80/523] learning_rate: 0.010344 loss_vfl: 0.707420 loss_bbox: 0.256450 loss_dfl: 0.176728 loss: 1.144425 eta: 10:33:24 batch_cost: 2.3851 data_cost: 0.0013 ips: 23.4790 images/s [10/18 01:21:15] ppdet.engine INFO: Epoch: [269] [100/523] learning_rate: 0.010319 loss_vfl: 0.705521 loss_bbox: 0.251033 loss_dfl: 0.181204 loss: 1.146922 eta: 10:32:37 batch_cost: 2.4428 data_cost: 0.0013 ips: 22.9246 images/s [10/18 01:22:04] ppdet.engine INFO: Epoch: [269] [120/523] learning_rate: 0.010294 loss_vfl: 0.699806 loss_bbox: 0.262822 loss_dfl: 0.181477 loss: 1.139233 eta: 10:31:50 batch_cost: 2.3482 data_cost: 0.0012 ips: 23.8484 images/s [10/18 01:22:55] ppdet.engine INFO: Epoch: [269] [140/523] learning_rate: 0.010268 loss_vfl: 0.708025 loss_bbox: 0.268955 loss_dfl: 0.184749 loss: 1.150892 eta: 10:31:03 batch_cost: 2.4274 data_cost: 0.0013 ips: 23.0703 images/s [10/18 01:23:44] ppdet.engine INFO: Epoch: [269] [160/523] learning_rate: 0.010243 loss_vfl: 0.707541 loss_bbox: 0.273124 loss_dfl: 0.186021 loss: 1.172490 eta: 10:30:16 batch_cost: 2.3621 data_cost: 0.0013 ips: 23.7080 images/s [10/18 01:24:34] ppdet.engine INFO: Epoch: [269] [180/523] learning_rate: 0.010218 loss_vfl: 0.694688 loss_bbox: 0.289382 loss_dfl: 0.191495 loss: 1.158421 eta: 10:29:29 batch_cost: 2.3795 data_cost: 0.0013 ips: 23.5339 images/s [10/18 01:25:23] ppdet.engine INFO: Epoch: [269] [200/523] learning_rate: 0.010192 loss_vfl: 0.706677 loss_bbox: 0.263036 loss_dfl: 0.182701 loss: 1.148819 eta: 10:28:42 batch_cost: 2.3417 data_cost: 0.0013 ips: 23.9139 images/s [10/18 01:26:11] ppdet.engine INFO: Epoch: [269] [220/523] learning_rate: 0.010167 loss_vfl: 0.691791 loss_bbox: 0.254237 loss_dfl: 0.175958 loss: 1.132447 eta: 10:27:55 batch_cost: 2.3314 data_cost: 0.0013 ips: 24.0198 images/s [10/18 01:27:02] ppdet.engine INFO: Epoch: [269] [240/523] learning_rate: 0.010142 loss_vfl: 0.698643 loss_bbox: 0.256839 loss_dfl: 0.182572 loss: 1.150503 eta: 10:27:08 batch_cost: 2.4217 data_cost: 0.0013 ips: 23.1242 images/s [10/18 01:27:52] ppdet.engine INFO: Epoch: [269] [260/523] learning_rate: 0.010117 loss_vfl: 0.683763 loss_bbox: 0.255811 loss_dfl: 0.177045 loss: 1.126497 eta: 10:26:21 batch_cost: 2.4056 data_cost: 0.0013 ips: 23.2786 images/s [10/18 01:28:43] ppdet.engine INFO: Epoch: [269] [280/523] learning_rate: 0.010092 loss_vfl: 0.702376 loss_bbox: 0.268362 loss_dfl: 0.183827 loss: 1.143665 eta: 10:25:34 batch_cost: 2.4290 data_cost: 0.0019 ips: 23.0548 images/s [10/18 01:29:33] ppdet.engine INFO: Epoch: [269] [300/523] learning_rate: 0.010067 loss_vfl: 0.696780 loss_bbox: 0.254075 loss_dfl: 0.173172 loss: 1.135040 eta: 10:24:47 batch_cost: 2.4259 data_cost: 0.0013 ips: 23.0846 images/s [10/18 01:30:23] ppdet.engine INFO: Epoch: [269] [320/523] learning_rate: 0.010041 loss_vfl: 0.715306 loss_bbox: 0.261894 loss_dfl: 0.181218 loss: 1.148381 eta: 10:24:00 batch_cost: 2.3856 data_cost: 0.0013 ips: 23.4738 images/s [10/18 01:31:13] ppdet.engine INFO: Epoch: [269] [340/523] learning_rate: 0.010016 loss_vfl: 0.722580 loss_bbox: 0.267576 loss_dfl: 0.182940 loss: 1.159218 eta: 10:23:13 batch_cost: 2.4040 data_cost: 0.0012 ips: 23.2949 images/s [10/18 01:32:03] ppdet.engine INFO: Epoch: [269] [360/523] learning_rate: 0.009991 loss_vfl: 0.697557 loss_bbox: 0.257911 loss_dfl: 0.180413 loss: 1.140340 eta: 10:22:26 batch_cost: 2.3898 data_cost: 0.0013 ips: 23.4329 images/s [10/18 01:32:53] ppdet.engine INFO: Epoch: [269] [380/523] learning_rate: 0.009966 loss_vfl: 0.702630 loss_bbox: 0.248788 loss_dfl: 0.174564 loss: 1.133464 eta: 10:21:39 batch_cost: 2.3657 data_cost: 0.0013 ips: 23.6717 images/s [10/18 01:33:43] ppdet.engine INFO: Epoch: [269] [400/523] learning_rate: 0.009941 loss_vfl: 0.695430 loss_bbox: 0.263253 loss_dfl: 0.191761 loss: 1.169166 eta: 10:20:51 batch_cost: 2.3812 data_cost: 0.0015 ips: 23.5174 images/s [10/18 01:34:33] ppdet.engine INFO: Epoch: [269] [420/523] learning_rate: 0.009917 loss_vfl: 0.711002 loss_bbox: 0.249414 loss_dfl: 0.177538 loss: 1.145352 eta: 10:20:04 batch_cost: 2.3923 data_cost: 0.0013 ips: 23.4083 images/s [10/18 01:35:22] ppdet.engine INFO: Epoch: [269] [440/523] learning_rate: 0.009892 loss_vfl: 0.707643 loss_bbox: 0.245297 loss_dfl: 0.175894 loss: 1.143741 eta: 10:19:17 batch_cost: 2.3648 data_cost: 0.0013 ips: 23.6808 images/s [10/18 01:36:13] ppdet.engine INFO: Epoch: [269] [460/523] learning_rate: 0.009867 loss_vfl: 0.692978 loss_bbox: 0.250060 loss_dfl: 0.172970 loss: 1.122440 eta: 10:18:30 batch_cost: 2.4517 data_cost: 0.0013 ips: 22.8414 images/s [10/18 01:37:05] ppdet.engine INFO: Epoch: [269] [480/523] learning_rate: 0.009842 loss_vfl: 0.709093 loss_bbox: 0.243838 loss_dfl: 0.171916 loss: 1.144077 eta: 10:17:44 batch_cost: 2.4667 data_cost: 0.0015 ips: 22.7021 images/s [10/18 01:37:55] ppdet.engine INFO: Epoch: [269] [500/523] learning_rate: 0.009817 loss_vfl: 0.704031 loss_bbox: 0.264796 loss_dfl: 0.180833 loss: 1.150977 eta: 10:16:57 batch_cost: 2.4093 data_cost: 0.0013 ips: 23.2435 images/s [10/18 01:38:38] ppdet.engine INFO: Epoch: [269] [520/523] learning_rate: 0.009792 loss_vfl: 0.697400 loss_bbox: 0.257591 loss_dfl: 0.176020 loss: 1.147723 eta: 10:16:09 batch_cost: 2.0469 data_cost: 0.0012 ips: 27.3580 images/s [10/18 01:38:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/18 01:38:46] ppdet.engine INFO: Eval iter: 0 [10/18 01:39:26] ppdet.engine INFO: Eval iter: 100 [10/18 01:39:47] ppdet.engine INFO: Eval iter: 200 [10/18 01:40:07] ppdet.engine INFO: Eval iter: 300 [10/18 01:40:27] ppdet.engine INFO: Eval iter: 400 [10/18 01:40:48] ppdet.engine INFO: Eval iter: 500 [10/18 01:41:08] ppdet.engine INFO: Eval iter: 600 [10/18 01:41:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.96s) creating index... index created! [10/18 01:41:30] 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=100.11s). Accumulating evaluation results... DONE (t=18.33s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.520 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.379 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 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 ] = 0.566 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.303 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.481 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.513 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.245 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.738 [10/18 01:43:35] ppdet.engine INFO: Total sample number: 5000, averge FPS: 33.56606417184807 [10/18 01:43:35] ppdet.engine INFO: Best test bbox ap is 0.363. [10/18 01:43:37] ppdet.engine INFO: Epoch: [270] [ 0/523] learning_rate: 0.009789 loss_vfl: 0.698439 loss_bbox: 0.253180 loss_dfl: 0.175702 loss: 1.142082 eta: 10:16:01 batch_cost: 1.9627 data_cost: 0.0013 ips: 28.5327 images/s [10/18 01:44:30] ppdet.engine INFO: Epoch: [270] [ 20/523] learning_rate: 0.009764 loss_vfl: 0.726308 loss_bbox: 0.271284 loss_dfl: 0.179163 loss: 1.160017 eta: 10:15:15 batch_cost: 2.5105 data_cost: 0.0015 ips: 22.3067 images/s [10/18 01:45:20] ppdet.engine INFO: Epoch: [270] [ 40/523] learning_rate: 0.009739 loss_vfl: 0.695118 loss_bbox: 0.267689 loss_dfl: 0.188923 loss: 1.137186 eta: 10:14:28 batch_cost: 2.4268 data_cost: 0.0037 ips: 23.0756 images/s [10/18 01:46:11] ppdet.engine INFO: Epoch: [270] [ 60/523] learning_rate: 0.009715 loss_vfl: 0.692323 loss_bbox: 0.248135 loss_dfl: 0.180758 loss: 1.122310 eta: 10:13:41 batch_cost: 2.4343 data_cost: 0.0014 ips: 23.0046 images/s [10/18 01:47:01] ppdet.engine INFO: Epoch: [270] [ 80/523] learning_rate: 0.009690 loss_vfl: 0.699382 loss_bbox: 0.253805 loss_dfl: 0.175533 loss: 1.117616 eta: 10:12:54 batch_cost: 2.3666 data_cost: 0.0016 ips: 23.6629 images/s [10/18 01:47:50] ppdet.engine INFO: Epoch: [270] [100/523] learning_rate: 0.009665 loss_vfl: 0.681489 loss_bbox: 0.262997 loss_dfl: 0.178391 loss: 1.127236 eta: 10:12:07 batch_cost: 2.3609 data_cost: 0.0013 ips: 23.7200 images/s [10/18 01:48:39] ppdet.engine INFO: Epoch: [270] [120/523] learning_rate: 0.009641 loss_vfl: 0.708335 loss_bbox: 0.253179 loss_dfl: 0.175602 loss: 1.123160 eta: 10:11:19 batch_cost: 2.3552 data_cost: 0.0013 ips: 23.7768 images/s [10/18 01:49:28] ppdet.engine INFO: Epoch: [270] [140/523] learning_rate: 0.009616 loss_vfl: 0.685178 loss_bbox: 0.253368 loss_dfl: 0.178586 loss: 1.134553 eta: 10:10:32 batch_cost: 2.3416 data_cost: 0.0013 ips: 23.9152 images/s [10/18 01:50:18] ppdet.engine INFO: Epoch: [270] [160/523] learning_rate: 0.009592 loss_vfl: 0.689682 loss_bbox: 0.251762 loss_dfl: 0.174794 loss: 1.136851 eta: 10:09:45 batch_cost: 2.3936 data_cost: 0.0014 ips: 23.3960 images/s [10/18 01:51:09] ppdet.engine INFO: Epoch: [270] [180/523] learning_rate: 0.009567 loss_vfl: 0.688310 loss_bbox: 0.244975 loss_dfl: 0.170222 loss: 1.103149 eta: 10:08:58 batch_cost: 2.4464 data_cost: 0.0014 ips: 22.8905 images/s [10/18 01:51:59] ppdet.engine INFO: Epoch: [270] [200/523] learning_rate: 0.009543 loss_vfl: 0.704801 loss_bbox: 0.259398 loss_dfl: 0.177677 loss: 1.132728 eta: 10:08:11 batch_cost: 2.3912 data_cost: 0.0020 ips: 23.4195 images/s [10/18 01:52:47] ppdet.engine INFO: Epoch: [270] [220/523] learning_rate: 0.009518 loss_vfl: 0.700443 loss_bbox: 0.252133 loss_dfl: 0.166484 loss: 1.115447 eta: 10:07:24 batch_cost: 2.3081 data_cost: 0.0013 ips: 24.2623 images/s [10/18 01:53:37] ppdet.engine INFO: Epoch: [270] [240/523] learning_rate: 0.009494 loss_vfl: 0.699465 loss_bbox: 0.260271 loss_dfl: 0.185024 loss: 1.148309 eta: 10:06:37 batch_cost: 2.3601 data_cost: 0.0032 ips: 23.7282 images/s [10/18 01:54:25] ppdet.engine INFO: Epoch: [270] [260/523] learning_rate: 0.009470 loss_vfl: 0.706582 loss_bbox: 0.256169 loss_dfl: 0.175068 loss: 1.136430 eta: 10:05:50 batch_cost: 2.3104 data_cost: 0.0013 ips: 24.2381 images/s [10/18 01:55:14] ppdet.engine INFO: Epoch: [270] [280/523] learning_rate: 0.009445 loss_vfl: 0.698785 loss_bbox: 0.256244 loss_dfl: 0.179774 loss: 1.133978 eta: 10:05:03 batch_cost: 2.3450 data_cost: 0.0013 ips: 23.8807 images/s [10/18 01:56:04] ppdet.engine INFO: Epoch: [270] [300/523] learning_rate: 0.009421 loss_vfl: 0.701187 loss_bbox: 0.259597 loss_dfl: 0.176334 loss: 1.138436 eta: 10:04:16 batch_cost: 2.3671 data_cost: 0.0013 ips: 23.6572 images/s [10/18 01:56:54] ppdet.engine INFO: Epoch: [270] [320/523] learning_rate: 0.009397 loss_vfl: 0.694494 loss_bbox: 0.252534 loss_dfl: 0.184511 loss: 1.128342 eta: 10:03:29 batch_cost: 2.4006 data_cost: 0.0013 ips: 23.3280 images/s [10/18 01:57:45] ppdet.engine INFO: Epoch: [270] [340/523] learning_rate: 0.009372 loss_vfl: 0.703611 loss_bbox: 0.248250 loss_dfl: 0.172132 loss: 1.124704 eta: 10:02:42 batch_cost: 2.4245 data_cost: 0.0014 ips: 23.0977 images/s [10/18 01:58:34] ppdet.engine INFO: Epoch: [270] [360/523] learning_rate: 0.009348 loss_vfl: 0.709793 loss_bbox: 0.259340 loss_dfl: 0.178818 loss: 1.135277 eta: 10:01:54 batch_cost: 2.3419 data_cost: 0.0013 ips: 23.9122 images/s [10/18 01:59:23] ppdet.engine INFO: Epoch: [270] [380/523] learning_rate: 0.009324 loss_vfl: 0.685714 loss_bbox: 0.248234 loss_dfl: 0.174224 loss: 1.118837 eta: 10:01:07 batch_cost: 2.3543 data_cost: 0.0013 ips: 23.7867 images/s [10/18 02:00:12] ppdet.engine INFO: Epoch: [270] [400/523] learning_rate: 0.009300 loss_vfl: 0.697497 loss_bbox: 0.266052 loss_dfl: 0.180806 loss: 1.146508 eta: 10:00:20 batch_cost: 2.3391 data_cost: 0.0023 ips: 23.9413 images/s [10/18 02:01:02] ppdet.engine INFO: Epoch: [270] [420/523] learning_rate: 0.009276 loss_vfl: 0.711586 loss_bbox: 0.245231 loss_dfl: 0.175738 loss: 1.133733 eta: 9:59:33 batch_cost: 2.4040 data_cost: 0.0013 ips: 23.2946 images/s [10/18 02:01:52] ppdet.engine INFO: Epoch: [270] [440/523] learning_rate: 0.009252 loss_vfl: 0.714055 loss_bbox: 0.260284 loss_dfl: 0.186282 loss: 1.141958 eta: 9:58:46 batch_cost: 2.3792 data_cost: 0.0022 ips: 23.5373 images/s [10/18 02:02:43] ppdet.engine INFO: Epoch: [270] [460/523] learning_rate: 0.009228 loss_vfl: 0.701699 loss_bbox: 0.260540 loss_dfl: 0.181568 loss: 1.164970 eta: 9:57:59 batch_cost: 2.4257 data_cost: 0.0014 ips: 23.0860 images/s [10/18 02:03:33] ppdet.engine INFO: Epoch: [270] [480/523] learning_rate: 0.009203 loss_vfl: 0.692926 loss_bbox: 0.271428 loss_dfl: 0.186294 loss: 1.159597 eta: 9:57:12 batch_cost: 2.3656 data_cost: 0.0013 ips: 23.6728 images/s [10/18 02:04:23] ppdet.engine INFO: Epoch: [270] [500/523] learning_rate: 0.009179 loss_vfl: 0.710365 loss_bbox: 0.255450 loss_dfl: 0.170595 loss: 1.161707 eta: 9:56:25 batch_cost: 2.4088 data_cost: 0.0013 ips: 23.2479 images/s [10/18 02:05:07] ppdet.engine INFO: Epoch: [270] [520/523] learning_rate: 0.009156 loss_vfl: 0.708382 loss_bbox: 0.254525 loss_dfl: 0.184867 loss: 1.143930 eta: 9:55:37 batch_cost: 2.1271 data_cost: 0.0013 ips: 26.3269 images/s [10/18 02:05:38] ppdet.engine INFO: Epoch: [271] [ 0/523] learning_rate: 0.009152 loss_vfl: 0.714668 loss_bbox: 0.246248 loss_dfl: 0.173265 loss: 1.134652 eta: 9:55:32 batch_cost: 3.1148 data_cost: 0.3964 ips: 17.9785 images/s [10/18 02:06:31] ppdet.engine INFO: Epoch: [271] [ 20/523] learning_rate: 0.009128 loss_vfl: 0.699875 loss_bbox: 0.249591 loss_dfl: 0.179367 loss: 1.134030 eta: 9:54:46 batch_cost: 2.5585 data_cost: 0.0015 ips: 21.8874 images/s [10/18 02:07:23] ppdet.engine INFO: Epoch: [271] [ 40/523] learning_rate: 0.009104 loss_vfl: 0.701754 loss_bbox: 0.250670 loss_dfl: 0.171986 loss: 1.120723 eta: 9:53:59 batch_cost: 2.4713 data_cost: 0.0012 ips: 22.6599 images/s [10/18 02:08:13] ppdet.engine INFO: Epoch: [271] [ 60/523] learning_rate: 0.009080 loss_vfl: 0.692729 loss_bbox: 0.267941 loss_dfl: 0.181179 loss: 1.151454 eta: 9:53:12 batch_cost: 2.4206 data_cost: 0.0013 ips: 23.1344 images/s [10/18 02:09:02] ppdet.engine INFO: Epoch: [271] [ 80/523] learning_rate: 0.009056 loss_vfl: 0.690350 loss_bbox: 0.261715 loss_dfl: 0.181053 loss: 1.131494 eta: 9:52:25 batch_cost: 2.2959 data_cost: 0.0013 ips: 24.3915 images/s [10/18 02:09:52] ppdet.engine INFO: Epoch: [271] [100/523] learning_rate: 0.009033 loss_vfl: 0.689208 loss_bbox: 0.259878 loss_dfl: 0.178869 loss: 1.158989 eta: 9:51:38 batch_cost: 2.3948 data_cost: 0.0012 ips: 23.3838 images/s [10/18 02:10:42] ppdet.engine INFO: Epoch: [271] [120/523] learning_rate: 0.009009 loss_vfl: 0.706644 loss_bbox: 0.265680 loss_dfl: 0.183074 loss: 1.160867 eta: 9:50:51 batch_cost: 2.4071 data_cost: 0.0014 ips: 23.2643 images/s [10/18 02:11:32] ppdet.engine INFO: Epoch: [271] [140/523] learning_rate: 0.008985 loss_vfl: 0.698426 loss_bbox: 0.260965 loss_dfl: 0.186057 loss: 1.152906 eta: 9:50:04 batch_cost: 2.3957 data_cost: 0.0013 ips: 23.3756 images/s [10/18 02:12:24] ppdet.engine INFO: Epoch: [271] [160/523] learning_rate: 0.008961 loss_vfl: 0.686254 loss_bbox: 0.249788 loss_dfl: 0.175959 loss: 1.110446 eta: 9:49:17 batch_cost: 2.4889 data_cost: 0.0032 ips: 22.4999 images/s [10/18 02:13:13] ppdet.engine INFO: Epoch: [271] [180/523] learning_rate: 0.008938 loss_vfl: 0.686080 loss_bbox: 0.267226 loss_dfl: 0.182396 loss: 1.135293 eta: 9:48:30 batch_cost: 2.3247 data_cost: 0.0013 ips: 24.0889 images/s [10/18 02:14:03] ppdet.engine INFO: Epoch: [271] [200/523] learning_rate: 0.008914 loss_vfl: 0.707504 loss_bbox: 0.269032 loss_dfl: 0.183795 loss: 1.147183 eta: 9:47:42 batch_cost: 2.3763 data_cost: 0.0014 ips: 23.5660 images/s [10/18 02:14:53] ppdet.engine INFO: Epoch: [271] [220/523] learning_rate: 0.008890 loss_vfl: 0.693755 loss_bbox: 0.245819 loss_dfl: 0.179315 loss: 1.134630 eta: 9:46:55 batch_cost: 2.3915 data_cost: 0.0014 ips: 23.4164 images/s [10/18 02:15:42] ppdet.engine INFO: Epoch: [271] [240/523] learning_rate: 0.008867 loss_vfl: 0.704350 loss_bbox: 0.258995 loss_dfl: 0.178994 loss: 1.140584 eta: 9:46:08 batch_cost: 2.3414 data_cost: 0.0013 ips: 23.9174 images/s [10/18 02:16:32] ppdet.engine INFO: Epoch: [271] [260/523] learning_rate: 0.008843 loss_vfl: 0.681039 loss_bbox: 0.237660 loss_dfl: 0.172739 loss: 1.092866 eta: 9:45:21 batch_cost: 2.3683 data_cost: 0.0014 ips: 23.6455 images/s [10/18 02:17:22] ppdet.engine INFO: Epoch: [271] [280/523] learning_rate: 0.008820 loss_vfl: 0.699346 loss_bbox: 0.251335 loss_dfl: 0.178345 loss: 1.116755 eta: 9:44:34 batch_cost: 2.3959 data_cost: 0.0013 ips: 23.3737 images/s [10/18 02:18:14] ppdet.engine INFO: Epoch: [271] [300/523] learning_rate: 0.008796 loss_vfl: 0.722283 loss_bbox: 0.252542 loss_dfl: 0.176370 loss: 1.137394 eta: 9:43:47 batch_cost: 2.4548 data_cost: 0.0013 ips: 22.8121 images/s [10/18 02:19:04] ppdet.engine INFO: Epoch: [271] [320/523] learning_rate: 0.008773 loss_vfl: 0.693386 loss_bbox: 0.250874 loss_dfl: 0.179184 loss: 1.138705 eta: 9:43:00 batch_cost: 2.4220 data_cost: 0.0020 ips: 23.1217 images/s [10/18 02:19:53] ppdet.engine INFO: Epoch: [271] [340/523] learning_rate: 0.008749 loss_vfl: 0.717169 loss_bbox: 0.272149 loss_dfl: 0.183001 loss: 1.175945 eta: 9:42:13 batch_cost: 2.3173 data_cost: 0.0013 ips: 24.1656 images/s [10/18 02:20:44] ppdet.engine INFO: Epoch: [271] [360/523] learning_rate: 0.008726 loss_vfl: 0.703907 loss_bbox: 0.252205 loss_dfl: 0.175071 loss: 1.134832 eta: 9:41:26 batch_cost: 2.4276 data_cost: 0.0012 ips: 23.0676 images/s [10/18 02:21:34] ppdet.engine INFO: Epoch: [271] [380/523] learning_rate: 0.008702 loss_vfl: 0.705705 loss_bbox: 0.240724 loss_dfl: 0.168161 loss: 1.119751 eta: 9:40:39 batch_cost: 2.3945 data_cost: 0.0019 ips: 23.3869 images/s [10/18 02:22:23] ppdet.engine INFO: Epoch: [271] [400/523] learning_rate: 0.008679 loss_vfl: 0.688444 loss_bbox: 0.246868 loss_dfl: 0.178698 loss: 1.111669 eta: 9:39:52 batch_cost: 2.3463 data_cost: 0.0012 ips: 23.8673 images/s [10/18 02:23:11] ppdet.engine INFO: Epoch: [271] [420/523] learning_rate: 0.008656 loss_vfl: 0.695821 loss_bbox: 0.250944 loss_dfl: 0.181827 loss: 1.129076 eta: 9:39:05 batch_cost: 2.3157 data_cost: 0.0012 ips: 24.1823 images/s [10/18 02:24:00] ppdet.engine INFO: Epoch: [271] [440/523] learning_rate: 0.008632 loss_vfl: 0.691826 loss_bbox: 0.255629 loss_dfl: 0.175132 loss: 1.129684 eta: 9:38:18 batch_cost: 2.3397 data_cost: 0.0014 ips: 23.9349 images/s [10/18 02:24:50] ppdet.engine INFO: Epoch: [271] [460/523] learning_rate: 0.008609 loss_vfl: 0.694785 loss_bbox: 0.253040 loss_dfl: 0.179883 loss: 1.125358 eta: 9:37:30 batch_cost: 2.4002 data_cost: 0.0013 ips: 23.3316 images/s [10/18 02:25:41] ppdet.engine INFO: Epoch: [271] [480/523] learning_rate: 0.008586 loss_vfl: 0.690728 loss_bbox: 0.263221 loss_dfl: 0.170959 loss: 1.127400 eta: 9:36:43 batch_cost: 2.3973 data_cost: 0.0012 ips: 23.3598 images/s [10/18 02:26:31] ppdet.engine INFO: Epoch: [271] [500/523] learning_rate: 0.008563 loss_vfl: 0.686521 loss_bbox: 0.249085 loss_dfl: 0.177222 loss: 1.150747 eta: 9:35:56 batch_cost: 2.3781 data_cost: 0.0022 ips: 23.5485 images/s [10/18 02:27:15] ppdet.engine INFO: Epoch: [271] [520/523] learning_rate: 0.008540 loss_vfl: 0.696856 loss_bbox: 0.255165 loss_dfl: 0.177429 loss: 1.106220 eta: 9:35:09 batch_cost: 2.1111 data_cost: 0.0012 ips: 26.5270 images/s [10/18 02:27:42] ppdet.engine INFO: Epoch: [272] [ 0/523] learning_rate: 0.008536 loss_vfl: 0.689776 loss_bbox: 0.248965 loss_dfl: 0.175688 loss: 1.106220 eta: 9:35:03 batch_cost: 2.8734 data_cost: 0.3478 ips: 19.4893 images/s [10/18 02:28:38] ppdet.engine INFO: Epoch: [272] [ 20/523] learning_rate: 0.008513 loss_vfl: 0.680968 loss_bbox: 0.260488 loss_dfl: 0.176684 loss: 1.115645 eta: 9:34:17 batch_cost: 2.6514 data_cost: 0.0015 ips: 21.1208 images/s [10/18 02:29:28] ppdet.engine INFO: Epoch: [272] [ 40/523] learning_rate: 0.008490 loss_vfl: 0.702337 loss_bbox: 0.264801 loss_dfl: 0.180315 loss: 1.150211 eta: 9:33:30 batch_cost: 2.4084 data_cost: 0.0013 ips: 23.2517 images/s [10/18 02:30:19] ppdet.engine INFO: Epoch: [272] [ 60/523] learning_rate: 0.008467 loss_vfl: 0.694188 loss_bbox: 0.249409 loss_dfl: 0.177454 loss: 1.127112 eta: 9:32:43 batch_cost: 2.4119 data_cost: 0.0012 ips: 23.2182 images/s [10/18 02:31:10] ppdet.engine INFO: Epoch: [272] [ 80/523] learning_rate: 0.008444 loss_vfl: 0.693420 loss_bbox: 0.252360 loss_dfl: 0.173791 loss: 1.122151 eta: 9:31:56 batch_cost: 2.4433 data_cost: 0.0013 ips: 22.9197 images/s [10/18 02:31:59] ppdet.engine INFO: Epoch: [272] [100/523] learning_rate: 0.008421 loss_vfl: 0.691841 loss_bbox: 0.261346 loss_dfl: 0.176526 loss: 1.131038 eta: 9:31:09 batch_cost: 2.3659 data_cost: 0.0013 ips: 23.6694 images/s [10/18 02:32:49] ppdet.engine INFO: Epoch: [272] [120/523] learning_rate: 0.008398 loss_vfl: 0.695106 loss_bbox: 0.259089 loss_dfl: 0.185162 loss: 1.134912 eta: 9:30:22 batch_cost: 2.3683 data_cost: 0.0014 ips: 23.6457 images/s [10/18 02:33:39] ppdet.engine INFO: Epoch: [272] [140/523] learning_rate: 0.008375 loss_vfl: 0.693156 loss_bbox: 0.247565 loss_dfl: 0.175213 loss: 1.105474 eta: 9:29:35 batch_cost: 2.3799 data_cost: 0.0019 ips: 23.5307 images/s [10/18 02:34:29] ppdet.engine INFO: Epoch: [272] [160/523] learning_rate: 0.008352 loss_vfl: 0.702113 loss_bbox: 0.262506 loss_dfl: 0.186031 loss: 1.147062 eta: 9:28:48 batch_cost: 2.4145 data_cost: 0.0019 ips: 23.1936 images/s [10/18 02:35:18] ppdet.engine INFO: Epoch: [272] [180/523] learning_rate: 0.008329 loss_vfl: 0.696756 loss_bbox: 0.254547 loss_dfl: 0.171889 loss: 1.146737 eta: 9:28:00 batch_cost: 2.3386 data_cost: 0.0013 ips: 23.9456 images/s [10/18 02:36:08] ppdet.engine INFO: Epoch: [272] [200/523] learning_rate: 0.008306 loss_vfl: 0.689574 loss_bbox: 0.248406 loss_dfl: 0.174511 loss: 1.126135 eta: 9:27:13 batch_cost: 2.3760 data_cost: 0.0015 ips: 23.5689 images/s [10/18 02:36:55] ppdet.engine INFO: Epoch: [272] [220/523] learning_rate: 0.008283 loss_vfl: 0.687979 loss_bbox: 0.256673 loss_dfl: 0.178673 loss: 1.114790 eta: 9:26:26 batch_cost: 2.2700 data_cost: 0.0013 ips: 24.6698 images/s [10/18 02:37:46] ppdet.engine INFO: Epoch: [272] [240/523] learning_rate: 0.008261 loss_vfl: 0.698632 loss_bbox: 0.255742 loss_dfl: 0.179890 loss: 1.132377 eta: 9:25:39 batch_cost: 2.4314 data_cost: 0.0013 ips: 23.0321 images/s [10/18 02:38:36] ppdet.engine INFO: Epoch: [272] [260/523] learning_rate: 0.008238 loss_vfl: 0.685219 loss_bbox: 0.242855 loss_dfl: 0.172616 loss: 1.108409 eta: 9:24:52 batch_cost: 2.3723 data_cost: 0.0017 ips: 23.6060 images/s [10/18 02:39:26] ppdet.engine INFO: Epoch: [272] [280/523] learning_rate: 0.008215 loss_vfl: 0.695207 loss_bbox: 0.258850 loss_dfl: 0.176754 loss: 1.136924 eta: 9:24:05 batch_cost: 2.3932 data_cost: 0.0013 ips: 23.3999 images/s [10/18 02:40:15] ppdet.engine INFO: Epoch: [272] [300/523] learning_rate: 0.008192 loss_vfl: 0.705769 loss_bbox: 0.261937 loss_dfl: 0.174123 loss: 1.157667 eta: 9:23:18 batch_cost: 2.3430 data_cost: 0.0015 ips: 23.9012 images/s [10/18 02:41:05] ppdet.engine INFO: Epoch: [272] [320/523] learning_rate: 0.008170 loss_vfl: 0.705233 loss_bbox: 0.261600 loss_dfl: 0.176191 loss: 1.140144 eta: 9:22:31 batch_cost: 2.3920 data_cost: 0.0013 ips: 23.4117 images/s [10/18 02:41:54] ppdet.engine INFO: Epoch: [272] [340/523] learning_rate: 0.008147 loss_vfl: 0.698865 loss_bbox: 0.256151 loss_dfl: 0.177371 loss: 1.138791 eta: 9:21:43 batch_cost: 2.3187 data_cost: 0.0012 ips: 24.1519 images/s [10/18 02:42:43] ppdet.engine INFO: Epoch: [272] [360/523] learning_rate: 0.008124 loss_vfl: 0.696013 loss_bbox: 0.264536 loss_dfl: 0.183148 loss: 1.141060 eta: 9:20:56 batch_cost: 2.3869 data_cost: 0.0013 ips: 23.4616 images/s [10/18 02:43:34] ppdet.engine INFO: Epoch: [272] [380/523] learning_rate: 0.008102 loss_vfl: 0.688815 loss_bbox: 0.241085 loss_dfl: 0.175839 loss: 1.120496 eta: 9:20:09 batch_cost: 2.3998 data_cost: 0.0013 ips: 23.3357 images/s [10/18 02:44:25] ppdet.engine INFO: Epoch: [272] [400/523] learning_rate: 0.008079 loss_vfl: 0.699241 loss_bbox: 0.248821 loss_dfl: 0.171300 loss: 1.112787 eta: 9:19:22 batch_cost: 2.4344 data_cost: 0.0013 ips: 23.0035 images/s [10/18 02:45:13] ppdet.engine INFO: Epoch: [272] [420/523] learning_rate: 0.008057 loss_vfl: 0.701562 loss_bbox: 0.265131 loss_dfl: 0.189405 loss: 1.164060 eta: 9:18:35 batch_cost: 2.3057 data_cost: 0.0013 ips: 24.2872 images/s [10/18 02:46:03] ppdet.engine INFO: Epoch: [272] [440/523] learning_rate: 0.008034 loss_vfl: 0.704358 loss_bbox: 0.239140 loss_dfl: 0.176928 loss: 1.125188 eta: 9:17:48 batch_cost: 2.3894 data_cost: 0.0020 ips: 23.4371 images/s [10/18 02:46:53] ppdet.engine INFO: Epoch: [272] [460/523] learning_rate: 0.008012 loss_vfl: 0.704249 loss_bbox: 0.258788 loss_dfl: 0.178659 loss: 1.151992 eta: 9:17:01 batch_cost: 2.4065 data_cost: 0.0013 ips: 23.2700 images/s [10/18 02:47:44] ppdet.engine INFO: Epoch: [272] [480/523] learning_rate: 0.007989 loss_vfl: 0.690565 loss_bbox: 0.253441 loss_dfl: 0.174266 loss: 1.130262 eta: 9:16:14 batch_cost: 2.4160 data_cost: 0.0026 ips: 23.1784 images/s [10/18 02:48:35] ppdet.engine INFO: Epoch: [272] [500/523] learning_rate: 0.007967 loss_vfl: 0.685775 loss_bbox: 0.258350 loss_dfl: 0.181877 loss: 1.133621 eta: 9:15:27 batch_cost: 2.4542 data_cost: 0.0015 ips: 22.8181 images/s [10/18 02:49:20] ppdet.engine INFO: Epoch: [272] [520/523] learning_rate: 0.007945 loss_vfl: 0.696655 loss_bbox: 0.247546 loss_dfl: 0.173063 loss: 1.129626 eta: 9:14:40 batch_cost: 2.1592 data_cost: 0.0013 ips: 25.9361 images/s [10/18 02:49:54] ppdet.engine INFO: Epoch: [273] [ 0/523] learning_rate: 0.007941 loss_vfl: 0.690377 loss_bbox: 0.249340 loss_dfl: 0.171230 loss: 1.129626 eta: 9:14:35 batch_cost: 3.2143 data_cost: 0.7856 ips: 17.4219 images/s [10/18 02:50:45] ppdet.engine INFO: Epoch: [273] [ 20/523] learning_rate: 0.007919 loss_vfl: 0.676256 loss_bbox: 0.244602 loss_dfl: 0.172852 loss: 1.096698 eta: 9:13:48 batch_cost: 2.3897 data_cost: 0.0018 ips: 23.4340 images/s [10/18 02:51:35] ppdet.engine INFO: Epoch: [273] [ 40/523] learning_rate: 0.007897 loss_vfl: 0.687046 loss_bbox: 0.266870 loss_dfl: 0.186628 loss: 1.151011 eta: 9:13:00 batch_cost: 2.3494 data_cost: 0.0014 ips: 23.8357 images/s [10/18 02:52:24] ppdet.engine INFO: Epoch: [273] [ 60/523] learning_rate: 0.007874 loss_vfl: 0.692875 loss_bbox: 0.261833 loss_dfl: 0.180493 loss: 1.129916 eta: 9:12:13 batch_cost: 2.3403 data_cost: 0.0016 ips: 23.9284 images/s [10/18 02:53:14] ppdet.engine INFO: Epoch: [273] [ 80/523] learning_rate: 0.007852 loss_vfl: 0.698908 loss_bbox: 0.262437 loss_dfl: 0.182908 loss: 1.151255 eta: 9:11:26 batch_cost: 2.4002 data_cost: 0.0013 ips: 23.3316 images/s [10/18 02:54:03] ppdet.engine INFO: Epoch: [273] [100/523] learning_rate: 0.007830 loss_vfl: 0.709070 loss_bbox: 0.250903 loss_dfl: 0.182763 loss: 1.140709 eta: 9:10:39 batch_cost: 2.3570 data_cost: 0.0013 ips: 23.7586 images/s [10/18 02:54:53] ppdet.engine INFO: Epoch: [273] [120/523] learning_rate: 0.007808 loss_vfl: 0.686948 loss_bbox: 0.237113 loss_dfl: 0.175518 loss: 1.103643 eta: 9:09:52 batch_cost: 2.3678 data_cost: 0.0013 ips: 23.6506 images/s [10/18 02:55:41] ppdet.engine INFO: Epoch: [273] [140/523] learning_rate: 0.007786 loss_vfl: 0.688651 loss_bbox: 0.259528 loss_dfl: 0.168940 loss: 1.118453 eta: 9:09:05 batch_cost: 2.3007 data_cost: 0.0013 ips: 24.3405 images/s [10/18 02:56:32] ppdet.engine INFO: Epoch: [273] [160/523] learning_rate: 0.007763 loss_vfl: 0.708347 loss_bbox: 0.252171 loss_dfl: 0.178487 loss: 1.151021 eta: 9:08:18 batch_cost: 2.4388 data_cost: 0.0013 ips: 22.9617 images/s [10/18 02:57:22] ppdet.engine INFO: Epoch: [273] [180/523] learning_rate: 0.007741 loss_vfl: 0.697908 loss_bbox: 0.244703 loss_dfl: 0.175042 loss: 1.134338 eta: 9:07:31 batch_cost: 2.4103 data_cost: 0.0014 ips: 23.2336 images/s [10/18 02:58:12] ppdet.engine INFO: Epoch: [273] [200/523] learning_rate: 0.007719 loss_vfl: 0.696064 loss_bbox: 0.247245 loss_dfl: 0.179695 loss: 1.132010 eta: 9:06:44 batch_cost: 2.3997 data_cost: 0.0013 ips: 23.3360 images/s [10/18 02:59:02] ppdet.engine INFO: Epoch: [273] [220/523] learning_rate: 0.007697 loss_vfl: 0.699898 loss_bbox: 0.259534 loss_dfl: 0.180036 loss: 1.139443 eta: 9:05:57 batch_cost: 2.3855 data_cost: 0.0013 ips: 23.4748 images/s [10/18 02:59:53] ppdet.engine INFO: Epoch: [273] [240/523] learning_rate: 0.007675 loss_vfl: 0.697812 loss_bbox: 0.258428 loss_dfl: 0.182809 loss: 1.137663 eta: 9:05:10 batch_cost: 2.4409 data_cost: 0.0013 ips: 22.9424 images/s [10/18 03:00:44] ppdet.engine INFO: Epoch: [273] [260/523] learning_rate: 0.007653 loss_vfl: 0.680102 loss_bbox: 0.247884 loss_dfl: 0.180104 loss: 1.106809 eta: 9:04:23 batch_cost: 2.4282 data_cost: 0.0014 ips: 23.0620 images/s [10/18 03:01:35] ppdet.engine INFO: Epoch: [273] [280/523] learning_rate: 0.007631 loss_vfl: 0.694676 loss_bbox: 0.249734 loss_dfl: 0.172438 loss: 1.119456 eta: 9:03:36 batch_cost: 2.4233 data_cost: 0.0013 ips: 23.1087 images/s [10/18 03:02:24] ppdet.engine INFO: Epoch: [273] [300/523] learning_rate: 0.007610 loss_vfl: 0.684486 loss_bbox: 0.263913 loss_dfl: 0.181441 loss: 1.131924 eta: 9:02:49 batch_cost: 2.3761 data_cost: 0.0013 ips: 23.5683 images/s [10/18 03:03:13] ppdet.engine INFO: Epoch: [273] [320/523] learning_rate: 0.007588 loss_vfl: 0.704702 loss_bbox: 0.252197 loss_dfl: 0.178140 loss: 1.124971 eta: 9:02:01 batch_cost: 2.3253 data_cost: 0.0012 ips: 24.0826 images/s [10/18 03:04:03] ppdet.engine INFO: Epoch: [273] [340/523] learning_rate: 0.007566 loss_vfl: 0.703829 loss_bbox: 0.263369 loss_dfl: 0.179289 loss: 1.144121 eta: 9:01:14 batch_cost: 2.3716 data_cost: 0.0013 ips: 23.6131 images/s [10/18 03:04:53] ppdet.engine INFO: Epoch: [273] [360/523] learning_rate: 0.007544 loss_vfl: 0.689147 loss_bbox: 0.252040 loss_dfl: 0.176354 loss: 1.120710 eta: 9:00:27 batch_cost: 2.4059 data_cost: 0.0013 ips: 23.2766 images/s [10/18 03:05:43] ppdet.engine INFO: Epoch: [273] [380/523] learning_rate: 0.007522 loss_vfl: 0.690038 loss_bbox: 0.270540 loss_dfl: 0.181243 loss: 1.130321 eta: 8:59:40 batch_cost: 2.4175 data_cost: 0.0015 ips: 23.1640 images/s [10/18 03:06:33] ppdet.engine INFO: Epoch: [273] [400/523] learning_rate: 0.007501 loss_vfl: 0.704919 loss_bbox: 0.278326 loss_dfl: 0.185784 loss: 1.167966 eta: 8:58:53 batch_cost: 2.3614 data_cost: 0.0013 ips: 23.7149 images/s [10/18 03:07:23] ppdet.engine INFO: Epoch: [273] [420/523] learning_rate: 0.007479 loss_vfl: 0.703889 loss_bbox: 0.260293 loss_dfl: 0.175804 loss: 1.133294 eta: 8:58:06 batch_cost: 2.3986 data_cost: 0.0013 ips: 23.3465 images/s [10/18 03:08:11] ppdet.engine INFO: Epoch: [273] [440/523] learning_rate: 0.007457 loss_vfl: 0.701164 loss_bbox: 0.268250 loss_dfl: 0.180438 loss: 1.144791 eta: 8:57:19 batch_cost: 2.3202 data_cost: 0.0013 ips: 24.1355 images/s [10/18 03:09:01] ppdet.engine INFO: Epoch: [273] [460/523] learning_rate: 0.007435 loss_vfl: 0.686627 loss_bbox: 0.263986 loss_dfl: 0.176656 loss: 1.151673 eta: 8:56:32 batch_cost: 2.3686 data_cost: 0.0012 ips: 23.6430 images/s [10/18 03:09:50] ppdet.engine INFO: Epoch: [273] [480/523] learning_rate: 0.007414 loss_vfl: 0.699945 loss_bbox: 0.253633 loss_dfl: 0.177347 loss: 1.139010 eta: 8:55:45 batch_cost: 2.3629 data_cost: 0.0013 ips: 23.6996 images/s [10/18 03:10:40] ppdet.engine INFO: Epoch: [273] [500/523] learning_rate: 0.007392 loss_vfl: 0.706840 loss_bbox: 0.251861 loss_dfl: 0.174641 loss: 1.141794 eta: 8:54:58 batch_cost: 2.3905 data_cost: 0.0016 ips: 23.4257 images/s [10/18 03:11:24] ppdet.engine INFO: Epoch: [273] [520/523] learning_rate: 0.007371 loss_vfl: 0.690431 loss_bbox: 0.257069 loss_dfl: 0.174340 loss: 1.124986 eta: 8:54:10 batch_cost: 2.0813 data_cost: 0.0012 ips: 26.9068 images/s [10/18 03:11:56] ppdet.engine INFO: Epoch: [274] [ 0/523] learning_rate: 0.007367 loss_vfl: 0.693381 loss_bbox: 0.265985 loss_dfl: 0.176523 loss: 1.132548 eta: 8:54:05 batch_cost: 3.1128 data_cost: 0.3633 ips: 17.9901 images/s [10/18 03:12:49] ppdet.engine INFO: Epoch: [274] [ 20/523] learning_rate: 0.007346 loss_vfl: 0.690479 loss_bbox: 0.259336 loss_dfl: 0.181547 loss: 1.145885 eta: 8:53:18 batch_cost: 2.5308 data_cost: 0.0013 ips: 22.1277 images/s [10/18 03:13:40] ppdet.engine INFO: Epoch: [274] [ 40/523] learning_rate: 0.007324 loss_vfl: 0.687688 loss_bbox: 0.252972 loss_dfl: 0.171835 loss: 1.111540 eta: 8:52:31 batch_cost: 2.4484 data_cost: 0.0014 ips: 22.8717 images/s [10/18 03:14:30] ppdet.engine INFO: Epoch: [274] [ 60/523] learning_rate: 0.007303 loss_vfl: 0.694155 loss_bbox: 0.240511 loss_dfl: 0.177245 loss: 1.098381 eta: 8:51:44 batch_cost: 2.4068 data_cost: 0.0012 ips: 23.2676 images/s [10/18 03:15:19] ppdet.engine INFO: Epoch: [274] [ 80/523] learning_rate: 0.007282 loss_vfl: 0.699590 loss_bbox: 0.248754 loss_dfl: 0.174446 loss: 1.111417 eta: 8:50:57 batch_cost: 2.3410 data_cost: 0.0013 ips: 23.9214 images/s [10/18 03:16:08] ppdet.engine INFO: Epoch: [274] [100/523] learning_rate: 0.007260 loss_vfl: 0.681660 loss_bbox: 0.253343 loss_dfl: 0.173702 loss: 1.116612 eta: 8:50:10 batch_cost: 2.3166 data_cost: 0.0012 ips: 24.1735 images/s [10/18 03:16:58] ppdet.engine INFO: Epoch: [274] [120/523] learning_rate: 0.007239 loss_vfl: 0.699754 loss_bbox: 0.253644 loss_dfl: 0.183048 loss: 1.132259 eta: 8:49:23 batch_cost: 2.4263 data_cost: 0.0013 ips: 23.0805 images/s [10/18 03:17:48] ppdet.engine INFO: Epoch: [274] [140/523] learning_rate: 0.007217 loss_vfl: 0.709038 loss_bbox: 0.264136 loss_dfl: 0.173313 loss: 1.144870 eta: 8:48:36 batch_cost: 2.3765 data_cost: 0.0013 ips: 23.5639 images/s [10/18 03:18:37] ppdet.engine INFO: Epoch: [274] [160/523] learning_rate: 0.007196 loss_vfl: 0.691787 loss_bbox: 0.255765 loss_dfl: 0.178323 loss: 1.124431 eta: 8:47:48 batch_cost: 2.3566 data_cost: 0.0015 ips: 23.7629 images/s [10/18 03:19:27] ppdet.engine INFO: Epoch: [274] [180/523] learning_rate: 0.007175 loss_vfl: 0.689735 loss_bbox: 0.261205 loss_dfl: 0.183796 loss: 1.142899 eta: 8:47:01 batch_cost: 2.3706 data_cost: 0.0014 ips: 23.6227 images/s [10/18 03:20:16] ppdet.engine INFO: Epoch: [274] [200/523] learning_rate: 0.007154 loss_vfl: 0.704739 loss_bbox: 0.243353 loss_dfl: 0.172686 loss: 1.139024 eta: 8:46:14 batch_cost: 2.3566 data_cost: 0.0013 ips: 23.7627 images/s [10/18 03:21:07] ppdet.engine INFO: Epoch: [274] [220/523] learning_rate: 0.007132 loss_vfl: 0.701632 loss_bbox: 0.255849 loss_dfl: 0.177637 loss: 1.112644 eta: 8:45:27 batch_cost: 2.4525 data_cost: 0.0023 ips: 22.8340 images/s [10/18 03:21:57] ppdet.engine INFO: Epoch: [274] [240/523] learning_rate: 0.007111 loss_vfl: 0.703654 loss_bbox: 0.244128 loss_dfl: 0.172666 loss: 1.105743 eta: 8:44:40 batch_cost: 2.4077 data_cost: 0.0012 ips: 23.2585 images/s [10/18 03:22:49] ppdet.engine INFO: Epoch: [274] [260/523] learning_rate: 0.007090 loss_vfl: 0.692782 loss_bbox: 0.254949 loss_dfl: 0.171092 loss: 1.126729 eta: 8:43:53 batch_cost: 2.4582 data_cost: 0.0015 ips: 22.7813 images/s [10/18 03:23:40] ppdet.engine INFO: Epoch: [274] [280/523] learning_rate: 0.007069 loss_vfl: 0.692013 loss_bbox: 0.247259 loss_dfl: 0.170980 loss: 1.099726 eta: 8:43:06 batch_cost: 2.4303 data_cost: 0.0023 ips: 23.0426 images/s [10/18 03:24:28] ppdet.engine INFO: Epoch: [274] [300/523] learning_rate: 0.007048 loss_vfl: 0.688927 loss_bbox: 0.251252 loss_dfl: 0.169951 loss: 1.117277 eta: 8:42:19 batch_cost: 2.3110 data_cost: 0.0013 ips: 24.2317 images/s [10/18 03:25:18] ppdet.engine INFO: Epoch: [274] [320/523] learning_rate: 0.007027 loss_vfl: 0.686963 loss_bbox: 0.270425 loss_dfl: 0.187791 loss: 1.163453 eta: 8:41:32 batch_cost: 2.3898 data_cost: 0.0013 ips: 23.4330 images/s [10/18 03:26:10] ppdet.engine INFO: Epoch: [274] [340/523] learning_rate: 0.007006 loss_vfl: 0.698950 loss_bbox: 0.252222 loss_dfl: 0.161981 loss: 1.123658 eta: 8:40:45 batch_cost: 2.4595 data_cost: 0.0013 ips: 22.7685 images/s [10/18 03:26:58] ppdet.engine INFO: Epoch: [274] [360/523] learning_rate: 0.006985 loss_vfl: 0.699356 loss_bbox: 0.238374 loss_dfl: 0.172632 loss: 1.104467 eta: 8:39:58 batch_cost: 2.3092 data_cost: 0.0014 ips: 24.2510 images/s [10/18 03:27:47] ppdet.engine INFO: Epoch: [274] [380/523] learning_rate: 0.006964 loss_vfl: 0.691990 loss_bbox: 0.245701 loss_dfl: 0.170205 loss: 1.113370 eta: 8:39:11 batch_cost: 2.3491 data_cost: 0.0013 ips: 23.8389 images/s [10/18 03:28:38] ppdet.engine INFO: Epoch: [274] [400/523] learning_rate: 0.006943 loss_vfl: 0.707813 loss_bbox: 0.256083 loss_dfl: 0.181290 loss: 1.141788 eta: 8:38:24 batch_cost: 2.4469 data_cost: 0.0013 ips: 22.8857 images/s [10/18 03:29:29] ppdet.engine INFO: Epoch: [274] [420/523] learning_rate: 0.006922 loss_vfl: 0.700457 loss_bbox: 0.257651 loss_dfl: 0.184353 loss: 1.151914 eta: 8:37:37 batch_cost: 2.4111 data_cost: 0.0019 ips: 23.2258 images/s [10/18 03:30:18] ppdet.engine INFO: Epoch: [274] [440/523] learning_rate: 0.006901 loss_vfl: 0.693177 loss_bbox: 0.260355 loss_dfl: 0.180739 loss: 1.135957 eta: 8:36:50 batch_cost: 2.3791 data_cost: 0.0013 ips: 23.5386 images/s [10/18 03:31:08] ppdet.engine INFO: Epoch: [274] [460/523] learning_rate: 0.006880 loss_vfl: 0.710004 loss_bbox: 0.251921 loss_dfl: 0.175296 loss: 1.137334 eta: 8:36:03 batch_cost: 2.3954 data_cost: 0.0013 ips: 23.3778 images/s [10/18 03:31:58] ppdet.engine INFO: Epoch: [274] [480/523] learning_rate: 0.006859 loss_vfl: 0.704978 loss_bbox: 0.268745 loss_dfl: 0.179217 loss: 1.162401 eta: 8:35:15 batch_cost: 2.3753 data_cost: 0.0024 ips: 23.5758 images/s [10/18 03:32:48] ppdet.engine INFO: Epoch: [274] [500/523] learning_rate: 0.006839 loss_vfl: 0.693018 loss_bbox: 0.253942 loss_dfl: 0.176665 loss: 1.132769 eta: 8:34:28 batch_cost: 2.3880 data_cost: 0.0012 ips: 23.4510 images/s [10/18 03:33:32] ppdet.engine INFO: Epoch: [274] [520/523] learning_rate: 0.006818 loss_vfl: 0.691931 loss_bbox: 0.260603 loss_dfl: 0.178131 loss: 1.132743 eta: 8:33:41 batch_cost: 2.1181 data_cost: 0.0013 ips: 26.4393 images/s [10/18 03:34:03] ppdet.engine INFO: Epoch: [275] [ 0/523] learning_rate: 0.006815 loss_vfl: 0.691931 loss_bbox: 0.257108 loss_dfl: 0.176469 loss: 1.125419 eta: 8:33:35 batch_cost: 3.1054 data_cost: 0.4638 ips: 18.0329 images/s [10/18 03:34:55] ppdet.engine INFO: Epoch: [275] [ 20/523] learning_rate: 0.006794 loss_vfl: 0.684520 loss_bbox: 0.272508 loss_dfl: 0.189525 loss: 1.150512 eta: 8:32:49 batch_cost: 2.5084 data_cost: 0.0013 ips: 22.3251 images/s [10/18 03:35:46] ppdet.engine INFO: Epoch: [275] [ 40/523] learning_rate: 0.006773 loss_vfl: 0.702133 loss_bbox: 0.247510 loss_dfl: 0.172622 loss: 1.111393 eta: 8:32:02 batch_cost: 2.4264 data_cost: 0.0013 ips: 23.0796 images/s [10/18 03:36:35] ppdet.engine INFO: Epoch: [275] [ 60/523] learning_rate: 0.006753 loss_vfl: 0.703701 loss_bbox: 0.239734 loss_dfl: 0.172383 loss: 1.118070 eta: 8:31:14 batch_cost: 2.3553 data_cost: 0.0013 ips: 23.7765 images/s [10/18 03:37:25] ppdet.engine INFO: Epoch: [275] [ 80/523] learning_rate: 0.006732 loss_vfl: 0.697210 loss_bbox: 0.255555 loss_dfl: 0.181854 loss: 1.130943 eta: 8:30:27 batch_cost: 2.3803 data_cost: 0.0012 ips: 23.5267 images/s [10/18 03:38:15] ppdet.engine INFO: Epoch: [275] [100/523] learning_rate: 0.006712 loss_vfl: 0.683221 loss_bbox: 0.272814 loss_dfl: 0.185586 loss: 1.158863 eta: 8:29:40 batch_cost: 2.3946 data_cost: 0.0012 ips: 23.3857 images/s [10/18 03:39:06] ppdet.engine INFO: Epoch: [275] [120/523] learning_rate: 0.006691 loss_vfl: 0.703601 loss_bbox: 0.251123 loss_dfl: 0.173310 loss: 1.138525 eta: 8:28:53 batch_cost: 2.4326 data_cost: 0.0013 ips: 23.0211 images/s [10/18 03:39:55] ppdet.engine INFO: Epoch: [275] [140/523] learning_rate: 0.006670 loss_vfl: 0.696494 loss_bbox: 0.257537 loss_dfl: 0.177886 loss: 1.130007 eta: 8:28:06 batch_cost: 2.3706 data_cost: 0.0019 ips: 23.6226 images/s [10/18 03:40:45] ppdet.engine INFO: Epoch: [275] [160/523] learning_rate: 0.006650 loss_vfl: 0.702338 loss_bbox: 0.264791 loss_dfl: 0.179319 loss: 1.143508 eta: 8:27:19 batch_cost: 2.3782 data_cost: 0.0013 ips: 23.5473 images/s [10/18 03:41:36] ppdet.engine INFO: Epoch: [275] [180/523] learning_rate: 0.006630 loss_vfl: 0.687013 loss_bbox: 0.257519 loss_dfl: 0.177254 loss: 1.121243 eta: 8:26:32 batch_cost: 2.4175 data_cost: 0.0013 ips: 23.1647 images/s [10/18 03:42:26] ppdet.engine INFO: Epoch: [275] [200/523] learning_rate: 0.006609 loss_vfl: 0.691510 loss_bbox: 0.248605 loss_dfl: 0.174611 loss: 1.127206 eta: 8:25:45 batch_cost: 2.3939 data_cost: 0.0012 ips: 23.3929 images/s [10/18 03:43:15] ppdet.engine INFO: Epoch: [275] [220/523] learning_rate: 0.006589 loss_vfl: 0.704405 loss_bbox: 0.268102 loss_dfl: 0.178064 loss: 1.150365 eta: 8:24:58 batch_cost: 2.3448 data_cost: 0.0012 ips: 23.8828 images/s [10/18 03:44:05] ppdet.engine INFO: Epoch: [275] [240/523] learning_rate: 0.006568 loss_vfl: 0.685069 loss_bbox: 0.247533 loss_dfl: 0.177425 loss: 1.120277 eta: 8:24:11 batch_cost: 2.3878 data_cost: 0.0013 ips: 23.4522 images/s [10/18 03:44:53] ppdet.engine INFO: Epoch: [275] [260/523] learning_rate: 0.006548 loss_vfl: 0.691964 loss_bbox: 0.251251 loss_dfl: 0.173956 loss: 1.119221 eta: 8:23:24 batch_cost: 2.3247 data_cost: 0.0012 ips: 24.0896 images/s [10/18 03:45:43] ppdet.engine INFO: Epoch: [275] [280/523] learning_rate: 0.006528 loss_vfl: 0.683908 loss_bbox: 0.246273 loss_dfl: 0.170961 loss: 1.095107 eta: 8:22:36 batch_cost: 2.3896 data_cost: 0.0013 ips: 23.4352 images/s [10/18 03:46:33] ppdet.engine INFO: Epoch: [275] [300/523] learning_rate: 0.006507 loss_vfl: 0.703041 loss_bbox: 0.250846 loss_dfl: 0.177623 loss: 1.131905 eta: 8:21:49 batch_cost: 2.3640 data_cost: 0.0013 ips: 23.6885 images/s [10/18 03:47:23] ppdet.engine INFO: Epoch: [275] [320/523] learning_rate: 0.006487 loss_vfl: 0.715403 loss_bbox: 0.247734 loss_dfl: 0.173550 loss: 1.117727 eta: 8:21:02 batch_cost: 2.3945 data_cost: 0.0013 ips: 23.3866 images/s [10/18 03:48:13] ppdet.engine INFO: Epoch: [275] [340/523] learning_rate: 0.006467 loss_vfl: 0.691816 loss_bbox: 0.280045 loss_dfl: 0.191163 loss: 1.158556 eta: 8:20:15 batch_cost: 2.3893 data_cost: 0.0012 ips: 23.4378 images/s [10/18 03:49:02] ppdet.engine INFO: Epoch: [275] [360/523] learning_rate: 0.006447 loss_vfl: 0.693516 loss_bbox: 0.253492 loss_dfl: 0.172842 loss: 1.132206 eta: 8:19:28 batch_cost: 2.3539 data_cost: 0.0012 ips: 23.7898 images/s [10/18 03:49:51] ppdet.engine INFO: Epoch: [275] [380/523] learning_rate: 0.006427 loss_vfl: 0.707480 loss_bbox: 0.248643 loss_dfl: 0.171559 loss: 1.128064 eta: 8:18:41 batch_cost: 2.3478 data_cost: 0.0013 ips: 23.8520 images/s [10/18 03:50:40] ppdet.engine INFO: Epoch: [275] [400/523] learning_rate: 0.006406 loss_vfl: 0.695132 loss_bbox: 0.251657 loss_dfl: 0.172194 loss: 1.133797 eta: 8:17:54 batch_cost: 2.3221 data_cost: 0.0012 ips: 24.1163 images/s [10/18 03:51:30] ppdet.engine INFO: Epoch: [275] [420/523] learning_rate: 0.006386 loss_vfl: 0.701596 loss_bbox: 0.257666 loss_dfl: 0.176512 loss: 1.137576 eta: 8:17:07 batch_cost: 2.4133 data_cost: 0.0013 ips: 23.2050 images/s [10/18 03:52:19] ppdet.engine INFO: Epoch: [275] [440/523] learning_rate: 0.006366 loss_vfl: 0.677217 loss_bbox: 0.269743 loss_dfl: 0.183003 loss: 1.123721 eta: 8:16:19 batch_cost: 2.3419 data_cost: 0.0012 ips: 23.9123 images/s [10/18 03:53:08] ppdet.engine INFO: Epoch: [275] [460/523] learning_rate: 0.006346 loss_vfl: 0.704408 loss_bbox: 0.267815 loss_dfl: 0.184542 loss: 1.156142 eta: 8:15:32 batch_cost: 2.3493 data_cost: 0.0012 ips: 23.8372 images/s [10/18 03:53:59] ppdet.engine INFO: Epoch: [275] [480/523] learning_rate: 0.006326 loss_vfl: 0.689165 loss_bbox: 0.252394 loss_dfl: 0.178519 loss: 1.119228 eta: 8:14:45 batch_cost: 2.4349 data_cost: 0.0012 ips: 22.9989 images/s [10/18 03:54:49] ppdet.engine INFO: Epoch: [275] [500/523] learning_rate: 0.006306 loss_vfl: 0.693746 loss_bbox: 0.241158 loss_dfl: 0.166829 loss: 1.090682 eta: 8:13:58 batch_cost: 2.3920 data_cost: 0.0013 ips: 23.4117 images/s [10/18 03:55:34] ppdet.engine INFO: Epoch: [275] [520/523] learning_rate: 0.006286 loss_vfl: 0.704612 loss_bbox: 0.273387 loss_dfl: 0.182580 loss: 1.154518 eta: 8:13:11 batch_cost: 2.1376 data_cost: 0.0012 ips: 26.1975 images/s [10/18 03:56:05] ppdet.engine INFO: Epoch: [276] [ 0/523] learning_rate: 0.006283 loss_vfl: 0.687514 loss_bbox: 0.260936 loss_dfl: 0.181666 loss: 1.143766 eta: 8:13:05 batch_cost: 3.1300 data_cost: 0.2836 ips: 17.8912 images/s [10/18 03:56:57] ppdet.engine INFO: Epoch: [276] [ 20/523] learning_rate: 0.006263 loss_vfl: 0.680240 loss_bbox: 0.250362 loss_dfl: 0.175570 loss: 1.106290 eta: 8:12:19 batch_cost: 2.4990 data_cost: 0.0013 ips: 22.4088 images/s [10/18 03:57:48] ppdet.engine INFO: Epoch: [276] [ 40/523] learning_rate: 0.006244 loss_vfl: 0.694735 loss_bbox: 0.244891 loss_dfl: 0.172026 loss: 1.097385 eta: 8:11:32 batch_cost: 2.4462 data_cost: 0.0023 ips: 22.8931 images/s [10/18 03:58:41] ppdet.engine INFO: Epoch: [276] [ 60/523] learning_rate: 0.006224 loss_vfl: 0.686632 loss_bbox: 0.263753 loss_dfl: 0.175574 loss: 1.110178 eta: 8:10:45 batch_cost: 2.5351 data_cost: 0.0034 ips: 22.0895 images/s [10/18 03:59:32] ppdet.engine INFO: Epoch: [276] [ 80/523] learning_rate: 0.006204 loss_vfl: 0.686125 loss_bbox: 0.244477 loss_dfl: 0.169426 loss: 1.100863 eta: 8:09:58 batch_cost: 2.4012 data_cost: 0.0013 ips: 23.3214 images/s [10/18 04:00:22] ppdet.engine INFO: Epoch: [276] [100/523] learning_rate: 0.006184 loss_vfl: 0.698585 loss_bbox: 0.253790 loss_dfl: 0.176861 loss: 1.117399 eta: 8:09:11 batch_cost: 2.4199 data_cost: 0.0014 ips: 23.1415 images/s [10/18 04:01:11] ppdet.engine INFO: Epoch: [276] [120/523] learning_rate: 0.006164 loss_vfl: 0.693818 loss_bbox: 0.258002 loss_dfl: 0.175723 loss: 1.128167 eta: 8:08:23 batch_cost: 2.3280 data_cost: 0.0013 ips: 24.0554 images/s [10/18 04:02:01] ppdet.engine INFO: Epoch: [276] [140/523] learning_rate: 0.006145 loss_vfl: 0.693177 loss_bbox: 0.246777 loss_dfl: 0.178013 loss: 1.125180 eta: 8:07:36 batch_cost: 2.3920 data_cost: 0.0014 ips: 23.4113 images/s [10/18 04:02:51] ppdet.engine INFO: Epoch: [276] [160/523] learning_rate: 0.006125 loss_vfl: 0.694278 loss_bbox: 0.240727 loss_dfl: 0.173214 loss: 1.082894 eta: 8:06:49 batch_cost: 2.3967 data_cost: 0.0013 ips: 23.3654 images/s [10/18 04:03:41] ppdet.engine INFO: Epoch: [276] [180/523] learning_rate: 0.006105 loss_vfl: 0.698607 loss_bbox: 0.261299 loss_dfl: 0.184056 loss: 1.151975 eta: 8:06:02 batch_cost: 2.3612 data_cost: 0.0012 ips: 23.7168 images/s [10/18 04:04:30] ppdet.engine INFO: Epoch: [276] [200/523] learning_rate: 0.006086 loss_vfl: 0.698205 loss_bbox: 0.260859 loss_dfl: 0.174980 loss: 1.137808 eta: 8:05:15 batch_cost: 2.3465 data_cost: 0.0013 ips: 23.8651 images/s [10/18 04:05:19] ppdet.engine INFO: Epoch: [276] [220/523] learning_rate: 0.006066 loss_vfl: 0.690577 loss_bbox: 0.245242 loss_dfl: 0.180442 loss: 1.128419 eta: 8:04:28 batch_cost: 2.3158 data_cost: 0.0012 ips: 24.1819 images/s [10/18 04:06:08] ppdet.engine INFO: Epoch: [276] [240/523] learning_rate: 0.006047 loss_vfl: 0.701534 loss_bbox: 0.247541 loss_dfl: 0.174504 loss: 1.126431 eta: 8:03:41 batch_cost: 2.3605 data_cost: 0.0013 ips: 23.7241 images/s [10/18 04:06:58] ppdet.engine INFO: Epoch: [276] [260/523] learning_rate: 0.006027 loss_vfl: 0.675781 loss_bbox: 0.262636 loss_dfl: 0.184894 loss: 1.123766 eta: 8:02:54 batch_cost: 2.3664 data_cost: 0.0013 ips: 23.6643 images/s [10/18 04:07:48] ppdet.engine INFO: Epoch: [276] [280/523] learning_rate: 0.006008 loss_vfl: 0.701346 loss_bbox: 0.269677 loss_dfl: 0.179102 loss: 1.154452 eta: 8:02:06 batch_cost: 2.3870 data_cost: 0.0012 ips: 23.4601 images/s [10/18 04:08:39] ppdet.engine INFO: Epoch: [276] [300/523] learning_rate: 0.005988 loss_vfl: 0.710099 loss_bbox: 0.254004 loss_dfl: 0.180580 loss: 1.149801 eta: 8:01:19 batch_cost: 2.4263 data_cost: 0.0013 ips: 23.0804 images/s [10/18 04:09:28] ppdet.engine INFO: Epoch: [276] [320/523] learning_rate: 0.005969 loss_vfl: 0.700204 loss_bbox: 0.248481 loss_dfl: 0.168934 loss: 1.122697 eta: 8:00:32 batch_cost: 2.3462 data_cost: 0.0013 ips: 23.8683 images/s [10/18 04:10:18] ppdet.engine INFO: Epoch: [276] [340/523] learning_rate: 0.005949 loss_vfl: 0.711191 loss_bbox: 0.247013 loss_dfl: 0.178159 loss: 1.133001 eta: 7:59:45 batch_cost: 2.4018 data_cost: 0.0013 ips: 23.3162 images/s [10/18 04:11:08] ppdet.engine INFO: Epoch: [276] [360/523] learning_rate: 0.005930 loss_vfl: 0.699859 loss_bbox: 0.252912 loss_dfl: 0.178553 loss: 1.133882 eta: 7:58:58 batch_cost: 2.3622 data_cost: 0.0019 ips: 23.7067 images/s [10/18 04:11:57] ppdet.engine INFO: Epoch: [276] [380/523] learning_rate: 0.005911 loss_vfl: 0.682854 loss_bbox: 0.248218 loss_dfl: 0.173203 loss: 1.090204 eta: 7:58:11 batch_cost: 2.3456 data_cost: 0.0013 ips: 23.8749 images/s [10/18 04:12:47] ppdet.engine INFO: Epoch: [276] [400/523] learning_rate: 0.005891 loss_vfl: 0.703112 loss_bbox: 0.276950 loss_dfl: 0.194092 loss: 1.164448 eta: 7:57:24 batch_cost: 2.3591 data_cost: 0.0013 ips: 23.7384 images/s [10/18 04:13:37] ppdet.engine INFO: Epoch: [276] [420/523] learning_rate: 0.005872 loss_vfl: 0.699894 loss_bbox: 0.260947 loss_dfl: 0.180215 loss: 1.131781 eta: 7:56:37 batch_cost: 2.4008 data_cost: 0.0020 ips: 23.3259 images/s [10/18 04:14:27] ppdet.engine INFO: Epoch: [276] [440/523] learning_rate: 0.005853 loss_vfl: 0.685153 loss_bbox: 0.254518 loss_dfl: 0.178485 loss: 1.125638 eta: 7:55:50 batch_cost: 2.4112 data_cost: 0.0012 ips: 23.2249 images/s [10/18 04:15:19] ppdet.engine INFO: Epoch: [276] [460/523] learning_rate: 0.005833 loss_vfl: 0.707425 loss_bbox: 0.241696 loss_dfl: 0.174078 loss: 1.128789 eta: 7:55:03 batch_cost: 2.4643 data_cost: 0.0013 ips: 22.7241 images/s [10/18 04:16:09] ppdet.engine INFO: Epoch: [276] [480/523] learning_rate: 0.005814 loss_vfl: 0.686851 loss_bbox: 0.246037 loss_dfl: 0.178446 loss: 1.099203 eta: 7:54:16 batch_cost: 2.4302 data_cost: 0.0012 ips: 23.0430 images/s [10/18 04:17:00] ppdet.engine INFO: Epoch: [276] [500/523] learning_rate: 0.005795 loss_vfl: 0.688950 loss_bbox: 0.251079 loss_dfl: 0.179078 loss: 1.121212 eta: 7:53:29 batch_cost: 2.4093 data_cost: 0.0013 ips: 23.2430 images/s [10/18 04:17:43] ppdet.engine INFO: Epoch: [276] [520/523] learning_rate: 0.005776 loss_vfl: 0.684629 loss_bbox: 0.266238 loss_dfl: 0.180707 loss: 1.119488 eta: 7:52:41 batch_cost: 2.0678 data_cost: 0.0012 ips: 27.0825 images/s [10/18 04:18:12] ppdet.engine INFO: Epoch: [277] [ 0/523] learning_rate: 0.005773 loss_vfl: 0.702276 loss_bbox: 0.256836 loss_dfl: 0.179401 loss: 1.121229 eta: 7:52:35 batch_cost: 3.0001 data_cost: 0.4352 ips: 18.6663 images/s [10/18 04:19:07] ppdet.engine INFO: Epoch: [277] [ 20/523] learning_rate: 0.005754 loss_vfl: 0.687062 loss_bbox: 0.268277 loss_dfl: 0.181858 loss: 1.122699 eta: 7:51:49 batch_cost: 2.6024 data_cost: 0.0021 ips: 21.5185 images/s [10/18 04:20:00] ppdet.engine INFO: Epoch: [277] [ 40/523] learning_rate: 0.005735 loss_vfl: 0.708227 loss_bbox: 0.260586 loss_dfl: 0.187884 loss: 1.149320 eta: 7:51:02 batch_cost: 2.5565 data_cost: 0.0019 ips: 21.9049 images/s [10/18 04:20:52] ppdet.engine INFO: Epoch: [277] [ 60/523] learning_rate: 0.005716 loss_vfl: 0.701910 loss_bbox: 0.261940 loss_dfl: 0.182172 loss: 1.144716 eta: 7:50:15 batch_cost: 2.4907 data_cost: 0.0014 ips: 22.4833 images/s [10/18 04:21:42] ppdet.engine INFO: Epoch: [277] [ 80/523] learning_rate: 0.005697 loss_vfl: 0.695068 loss_bbox: 0.247119 loss_dfl: 0.181614 loss: 1.127138 eta: 7:49:28 batch_cost: 2.3846 data_cost: 0.0014 ips: 23.4840 images/s [10/18 04:22:31] ppdet.engine INFO: Epoch: [277] [100/523] learning_rate: 0.005678 loss_vfl: 0.687810 loss_bbox: 0.248525 loss_dfl: 0.177980 loss: 1.112988 eta: 7:48:41 batch_cost: 2.3591 data_cost: 0.0013 ips: 23.7379 images/s [10/18 04:23:21] ppdet.engine INFO: Epoch: [277] [120/523] learning_rate: 0.005659 loss_vfl: 0.674519 loss_bbox: 0.267468 loss_dfl: 0.183050 loss: 1.119810 eta: 7:47:54 batch_cost: 2.4085 data_cost: 0.0013 ips: 23.2510 images/s [10/18 04:24:11] ppdet.engine INFO: Epoch: [277] [140/523] learning_rate: 0.005640 loss_vfl: 0.699449 loss_bbox: 0.275346 loss_dfl: 0.181518 loss: 1.155110 eta: 7:47:07 batch_cost: 2.3946 data_cost: 0.0018 ips: 23.3859 images/s [10/18 04:25:02] ppdet.engine INFO: Epoch: [277] [160/523] learning_rate: 0.005621 loss_vfl: 0.691171 loss_bbox: 0.249842 loss_dfl: 0.174549 loss: 1.112084 eta: 7:46:19 batch_cost: 2.3979 data_cost: 0.0014 ips: 23.3538 images/s [10/18 04:25:51] ppdet.engine INFO: Epoch: [277] [180/523] learning_rate: 0.005602 loss_vfl: 0.705134 loss_bbox: 0.236813 loss_dfl: 0.176579 loss: 1.114946 eta: 7:45:32 batch_cost: 2.3853 data_cost: 0.0015 ips: 23.4769 images/s [10/18 04:26:42] ppdet.engine INFO: Epoch: [277] [200/523] learning_rate: 0.005584 loss_vfl: 0.707492 loss_bbox: 0.262339 loss_dfl: 0.186535 loss: 1.146674 eta: 7:44:45 batch_cost: 2.3938 data_cost: 0.0013 ips: 23.3939 images/s [10/18 04:27:32] ppdet.engine INFO: Epoch: [277] [220/523] learning_rate: 0.005565 loss_vfl: 0.697837 loss_bbox: 0.280224 loss_dfl: 0.186897 loss: 1.139287 eta: 7:43:58 batch_cost: 2.3952 data_cost: 0.0013 ips: 23.3799 images/s [10/18 04:28:21] ppdet.engine INFO: Epoch: [277] 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0.179662 loss: 1.116822 eta: 7:40:03 batch_cost: 2.3748 data_cost: 0.0013 ips: 23.5809 images/s [10/18 04:32:29] ppdet.engine INFO: Epoch: [277] [340/523] learning_rate: 0.005453 loss_vfl: 0.698557 loss_bbox: 0.239665 loss_dfl: 0.169882 loss: 1.111809 eta: 7:39:15 batch_cost: 2.3557 data_cost: 0.0014 ips: 23.7723 images/s [10/18 04:33:19] ppdet.engine INFO: Epoch: [277] [360/523] learning_rate: 0.005434 loss_vfl: 0.688406 loss_bbox: 0.270287 loss_dfl: 0.183204 loss: 1.149111 eta: 7:38:28 batch_cost: 2.4296 data_cost: 0.0026 ips: 23.0486 images/s [10/18 04:34:12] ppdet.engine INFO: Epoch: [277] [380/523] learning_rate: 0.005416 loss_vfl: 0.691741 loss_bbox: 0.253493 loss_dfl: 0.182209 loss: 1.126288 eta: 7:37:41 batch_cost: 2.5049 data_cost: 0.0022 ips: 22.3559 images/s [10/18 04:35:02] ppdet.engine INFO: Epoch: [277] [400/523] learning_rate: 0.005397 loss_vfl: 0.701997 loss_bbox: 0.241535 loss_dfl: 0.176801 loss: 1.109242 eta: 7:36:54 batch_cost: 2.3918 data_cost: 0.0014 ips: 23.4133 images/s [10/18 04:35:52] ppdet.engine INFO: Epoch: [277] [420/523] learning_rate: 0.005379 loss_vfl: 0.689451 loss_bbox: 0.238450 loss_dfl: 0.174696 loss: 1.109123 eta: 7:36:07 batch_cost: 2.3886 data_cost: 0.0015 ips: 23.4446 images/s [10/18 04:36:42] ppdet.engine INFO: Epoch: [277] [440/523] learning_rate: 0.005360 loss_vfl: 0.679278 loss_bbox: 0.244375 loss_dfl: 0.162639 loss: 1.102766 eta: 7:35:20 batch_cost: 2.3690 data_cost: 0.0024 ips: 23.6389 images/s [10/18 04:37:32] ppdet.engine INFO: Epoch: [277] [460/523] learning_rate: 0.005342 loss_vfl: 0.698078 loss_bbox: 0.268056 loss_dfl: 0.180690 loss: 1.140198 eta: 7:34:33 batch_cost: 2.4013 data_cost: 0.0013 ips: 23.3209 images/s [10/18 04:38:21] ppdet.engine INFO: Epoch: [277] [480/523] learning_rate: 0.005324 loss_vfl: 0.688677 loss_bbox: 0.258130 loss_dfl: 0.179044 loss: 1.134206 eta: 7:33:46 batch_cost: 2.3435 data_cost: 0.0023 ips: 23.8963 images/s [10/18 04:39:11] ppdet.engine INFO: Epoch: [277] [500/523] learning_rate: 0.005305 loss_vfl: 0.689411 loss_bbox: 0.258663 loss_dfl: 0.176140 loss: 1.112538 eta: 7:32:59 batch_cost: 2.3896 data_cost: 0.0013 ips: 23.4346 images/s [10/18 04:39:55] ppdet.engine INFO: Epoch: [277] [520/523] learning_rate: 0.005287 loss_vfl: 0.705403 loss_bbox: 0.276406 loss_dfl: 0.189067 loss: 1.152604 eta: 7:32:11 batch_cost: 2.0869 data_cost: 0.0013 ips: 26.8347 images/s [10/18 04:40:24] ppdet.engine INFO: Epoch: [278] [ 0/523] learning_rate: 0.005284 loss_vfl: 0.711637 loss_bbox: 0.268305 loss_dfl: 0.183060 loss: 1.148379 eta: 7:32:06 batch_cost: 2.9846 data_cost: 0.4444 ips: 18.7631 images/s [10/18 04:41:16] ppdet.engine INFO: Epoch: [278] [ 20/523] learning_rate: 0.005266 loss_vfl: 0.688812 loss_bbox: 0.253985 loss_dfl: 0.180839 loss: 1.119721 eta: 7:31:19 batch_cost: 2.4917 data_cost: 0.0072 ips: 22.4746 images/s [10/18 04:42:05] ppdet.engine INFO: Epoch: [278] [ 40/523] learning_rate: 0.005248 loss_vfl: 0.707497 loss_bbox: 0.246035 loss_dfl: 0.177871 loss: 1.129180 eta: 7:30:31 batch_cost: 2.3838 data_cost: 0.0013 ips: 23.4922 images/s [10/18 04:42:55] ppdet.engine INFO: Epoch: [278] [ 60/523] learning_rate: 0.005229 loss_vfl: 0.677758 loss_bbox: 0.260945 loss_dfl: 0.180448 loss: 1.131922 eta: 7:29:44 batch_cost: 2.3811 data_cost: 0.0026 ips: 23.5190 images/s [10/18 04:43:44] ppdet.engine INFO: Epoch: [278] [ 80/523] learning_rate: 0.005211 loss_vfl: 0.690046 loss_bbox: 0.252561 loss_dfl: 0.177230 loss: 1.125782 eta: 7:28:57 batch_cost: 2.3361 data_cost: 0.0012 ips: 23.9713 images/s [10/18 04:44:33] ppdet.engine INFO: Epoch: [278] [100/523] learning_rate: 0.005193 loss_vfl: 0.693783 loss_bbox: 0.264074 loss_dfl: 0.181518 loss: 1.127123 eta: 7:28:10 batch_cost: 2.3377 data_cost: 0.0012 ips: 23.9556 images/s [10/18 04:45:22] ppdet.engine INFO: Epoch: [278] [120/523] learning_rate: 0.005175 loss_vfl: 0.701399 loss_bbox: 0.252243 loss_dfl: 0.178446 loss: 1.109971 eta: 7:27:23 batch_cost: 2.3679 data_cost: 0.0012 ips: 23.6496 images/s [10/18 04:46:14] ppdet.engine INFO: Epoch: [278] [140/523] learning_rate: 0.005157 loss_vfl: 0.698244 loss_bbox: 0.248448 loss_dfl: 0.172952 loss: 1.139188 eta: 7:26:36 batch_cost: 2.4603 data_cost: 0.0014 ips: 22.7614 images/s [10/18 04:47:03] ppdet.engine INFO: Epoch: [278] [160/523] learning_rate: 0.005139 loss_vfl: 0.691289 loss_bbox: 0.251511 loss_dfl: 0.174493 loss: 1.128975 eta: 7:25:49 batch_cost: 2.3639 data_cost: 0.0013 ips: 23.6894 images/s [10/18 04:47:52] ppdet.engine INFO: Epoch: [278] [180/523] learning_rate: 0.005121 loss_vfl: 0.689812 loss_bbox: 0.256384 loss_dfl: 0.176551 loss: 1.115138 eta: 7:25:02 batch_cost: 2.3565 data_cost: 0.0013 ips: 23.7637 images/s [10/18 04:48:42] ppdet.engine INFO: Epoch: [278] [200/523] learning_rate: 0.005103 loss_vfl: 0.691697 loss_bbox: 0.256263 loss_dfl: 0.177868 loss: 1.145356 eta: 7:24:14 batch_cost: 2.3724 data_cost: 0.0012 ips: 23.6051 images/s [10/18 04:49:31] ppdet.engine INFO: Epoch: [278] [220/523] learning_rate: 0.005085 loss_vfl: 0.693830 loss_bbox: 0.276579 loss_dfl: 0.184763 loss: 1.158280 eta: 7:23:27 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8229 images/s [10/18 04:50:20] ppdet.engine INFO: Epoch: [278] [240/523] learning_rate: 0.005067 loss_vfl: 0.696567 loss_bbox: 0.262906 loss_dfl: 0.182907 loss: 1.139691 eta: 7:22:40 batch_cost: 2.3463 data_cost: 0.0013 ips: 23.8676 images/s [10/18 04:51:10] ppdet.engine INFO: Epoch: [278] [260/523] learning_rate: 0.005049 loss_vfl: 0.686815 loss_bbox: 0.259630 loss_dfl: 0.176242 loss: 1.086432 eta: 7:21:53 batch_cost: 2.3796 data_cost: 0.0013 ips: 23.5338 images/s [10/18 04:52:00] ppdet.engine INFO: Epoch: [278] [280/523] learning_rate: 0.005031 loss_vfl: 0.694118 loss_bbox: 0.249360 loss_dfl: 0.178301 loss: 1.125035 eta: 7:21:06 batch_cost: 2.3759 data_cost: 0.0014 ips: 23.5699 images/s [10/18 04:52:50] ppdet.engine INFO: Epoch: [278] [300/523] learning_rate: 0.005013 loss_vfl: 0.705408 loss_bbox: 0.263226 loss_dfl: 0.186437 loss: 1.151202 eta: 7:20:19 batch_cost: 2.4321 data_cost: 0.0019 ips: 23.0251 images/s [10/18 04:53:39] ppdet.engine INFO: Epoch: [278] [320/523] learning_rate: 0.004996 loss_vfl: 0.695043 loss_bbox: 0.245964 loss_dfl: 0.173440 loss: 1.117585 eta: 7:19:32 batch_cost: 2.3148 data_cost: 0.0013 ips: 24.1925 images/s [10/18 04:54:29] ppdet.engine INFO: Epoch: [278] [340/523] learning_rate: 0.004978 loss_vfl: 0.674254 loss_bbox: 0.247000 loss_dfl: 0.177231 loss: 1.118547 eta: 7:18:45 batch_cost: 2.4159 data_cost: 0.0013 ips: 23.1798 images/s [10/18 04:55:19] ppdet.engine INFO: Epoch: [278] [360/523] learning_rate: 0.004960 loss_vfl: 0.699124 loss_bbox: 0.255784 loss_dfl: 0.174412 loss: 1.120002 eta: 7:17:57 batch_cost: 2.3697 data_cost: 0.0013 ips: 23.6322 images/s [10/18 04:56:09] ppdet.engine INFO: Epoch: [278] [380/523] learning_rate: 0.004942 loss_vfl: 0.701448 loss_bbox: 0.241936 loss_dfl: 0.173207 loss: 1.114385 eta: 7:17:10 batch_cost: 2.3940 data_cost: 0.0013 ips: 23.3920 images/s [10/18 04:56:58] ppdet.engine INFO: Epoch: [278] [400/523] learning_rate: 0.004925 loss_vfl: 0.699338 loss_bbox: 0.259435 loss_dfl: 0.177673 loss: 1.135036 eta: 7:16:23 batch_cost: 2.3196 data_cost: 0.0012 ips: 24.1420 images/s [10/18 04:57:46] ppdet.engine INFO: Epoch: [278] [420/523] learning_rate: 0.004907 loss_vfl: 0.692531 loss_bbox: 0.243175 loss_dfl: 0.170450 loss: 1.114897 eta: 7:15:36 batch_cost: 2.3206 data_cost: 0.0012 ips: 24.1318 images/s [10/18 04:58:34] ppdet.engine INFO: Epoch: [278] [440/523] learning_rate: 0.004889 loss_vfl: 0.699827 loss_bbox: 0.251062 loss_dfl: 0.174321 loss: 1.117639 eta: 7:14:49 batch_cost: 2.3113 data_cost: 0.0020 ips: 24.2283 images/s [10/18 04:59:24] ppdet.engine INFO: Epoch: [278] [460/523] learning_rate: 0.004872 loss_vfl: 0.700188 loss_bbox: 0.287505 loss_dfl: 0.190962 loss: 1.182324 eta: 7:14:02 batch_cost: 2.3627 data_cost: 0.0012 ips: 23.7019 images/s [10/18 05:00:15] ppdet.engine INFO: Epoch: [278] [480/523] learning_rate: 0.004854 loss_vfl: 0.689258 loss_bbox: 0.233761 loss_dfl: 0.166168 loss: 1.089323 eta: 7:13:15 batch_cost: 2.4352 data_cost: 0.0014 ips: 22.9957 images/s [10/18 05:01:03] ppdet.engine INFO: Epoch: [278] [500/523] learning_rate: 0.004837 loss_vfl: 0.683106 loss_bbox: 0.254472 loss_dfl: 0.174994 loss: 1.095585 eta: 7:12:27 batch_cost: 2.3096 data_cost: 0.0012 ips: 24.2462 images/s [10/18 05:01:47] ppdet.engine INFO: Epoch: [278] [520/523] learning_rate: 0.004819 loss_vfl: 0.690291 loss_bbox: 0.252308 loss_dfl: 0.173426 loss: 1.118495 eta: 7:11:40 batch_cost: 2.0759 data_cost: 0.0013 ips: 26.9757 images/s [10/18 05:02:15] ppdet.engine INFO: Epoch: [279] [ 0/523] learning_rate: 0.004817 loss_vfl: 0.700014 loss_bbox: 0.236120 loss_dfl: 0.170216 loss: 1.110717 eta: 7:11:34 batch_cost: 2.9241 data_cost: 0.6702 ips: 19.1513 images/s [10/18 05:03:09] ppdet.engine INFO: Epoch: [279] [ 20/523] learning_rate: 0.004799 loss_vfl: 0.704373 loss_bbox: 0.245109 loss_dfl: 0.179821 loss: 1.139780 eta: 7:10:47 batch_cost: 2.5727 data_cost: 0.0014 ips: 21.7670 images/s [10/18 05:03:59] ppdet.engine INFO: Epoch: [279] [ 40/523] learning_rate: 0.004782 loss_vfl: 0.678495 loss_bbox: 0.259690 loss_dfl: 0.177813 loss: 1.114223 eta: 7:10:00 batch_cost: 2.3899 data_cost: 0.0018 ips: 23.4319 images/s [10/18 05:04:50] ppdet.engine INFO: Epoch: [279] [ 60/523] learning_rate: 0.004764 loss_vfl: 0.704475 loss_bbox: 0.263023 loss_dfl: 0.183133 loss: 1.149308 eta: 7:09:13 batch_cost: 2.4087 data_cost: 0.0022 ips: 23.2490 images/s [10/18 05:05:39] ppdet.engine INFO: Epoch: [279] [ 80/523] learning_rate: 0.004747 loss_vfl: 0.701822 loss_bbox: 0.253779 loss_dfl: 0.178782 loss: 1.121763 eta: 7:08:26 batch_cost: 2.3760 data_cost: 0.0013 ips: 23.5692 images/s [10/18 05:06:29] ppdet.engine INFO: Epoch: [279] [100/523] learning_rate: 0.004730 loss_vfl: 0.680815 loss_bbox: 0.231982 loss_dfl: 0.168697 loss: 1.094127 eta: 7:07:39 batch_cost: 2.3603 data_cost: 0.0013 ips: 23.7257 images/s [10/18 05:07:17] ppdet.engine INFO: Epoch: [279] [120/523] learning_rate: 0.004712 loss_vfl: 0.704646 loss_bbox: 0.259135 loss_dfl: 0.176120 loss: 1.138592 eta: 7:06:51 batch_cost: 2.3275 data_cost: 0.0020 ips: 24.0605 images/s [10/18 05:08:07] ppdet.engine INFO: Epoch: [279] [140/523] learning_rate: 0.004695 loss_vfl: 0.686339 loss_bbox: 0.265925 loss_dfl: 0.181705 loss: 1.119978 eta: 7:06:04 batch_cost: 2.3741 data_cost: 0.0031 ips: 23.5879 images/s [10/18 05:08:59] ppdet.engine INFO: Epoch: [279] [160/523] learning_rate: 0.004678 loss_vfl: 0.696138 loss_bbox: 0.242869 loss_dfl: 0.176660 loss: 1.114075 eta: 7:05:17 batch_cost: 2.4841 data_cost: 0.0035 ips: 22.5430 images/s [10/18 05:09:51] ppdet.engine INFO: Epoch: [279] [180/523] learning_rate: 0.004661 loss_vfl: 0.696988 loss_bbox: 0.243258 loss_dfl: 0.178217 loss: 1.133616 eta: 7:04:30 batch_cost: 2.4609 data_cost: 0.0027 ips: 22.7556 images/s [10/18 05:10:41] ppdet.engine INFO: Epoch: [279] [200/523] learning_rate: 0.004643 loss_vfl: 0.691041 loss_bbox: 0.260707 loss_dfl: 0.176871 loss: 1.125420 eta: 7:03:43 batch_cost: 2.4258 data_cost: 0.0014 ips: 23.0847 images/s [10/18 05:11:30] ppdet.engine INFO: Epoch: [279] [220/523] learning_rate: 0.004626 loss_vfl: 0.678089 loss_bbox: 0.244886 loss_dfl: 0.174356 loss: 1.111703 eta: 7:02:56 batch_cost: 2.3278 data_cost: 0.0013 ips: 24.0573 images/s [10/18 05:12:19] ppdet.engine INFO: Epoch: [279] [240/523] learning_rate: 0.004609 loss_vfl: 0.694521 loss_bbox: 0.251279 loss_dfl: 0.174344 loss: 1.136622 eta: 7:02:09 batch_cost: 2.3656 data_cost: 0.0013 ips: 23.6726 images/s [10/18 05:13:09] ppdet.engine INFO: Epoch: [279] [260/523] learning_rate: 0.004592 loss_vfl: 0.692738 loss_bbox: 0.247292 loss_dfl: 0.173132 loss: 1.123185 eta: 7:01:22 batch_cost: 2.3959 data_cost: 0.0013 ips: 23.3733 images/s [10/18 05:14:00] ppdet.engine INFO: Epoch: [279] [280/523] learning_rate: 0.004575 loss_vfl: 0.692633 loss_bbox: 0.259318 loss_dfl: 0.175754 loss: 1.112033 eta: 7:00:35 batch_cost: 2.4147 data_cost: 0.0012 ips: 23.1913 images/s [10/18 05:14:48] ppdet.engine INFO: Epoch: [279] [300/523] learning_rate: 0.004558 loss_vfl: 0.693727 loss_bbox: 0.258142 loss_dfl: 0.179103 loss: 1.127554 eta: 6:59:48 batch_cost: 2.3201 data_cost: 0.0012 ips: 24.1365 images/s [10/18 05:15:37] ppdet.engine INFO: Epoch: [279] [320/523] learning_rate: 0.004541 loss_vfl: 0.681811 loss_bbox: 0.246324 loss_dfl: 0.176157 loss: 1.133159 eta: 6:59:00 batch_cost: 2.3467 data_cost: 0.0013 ips: 23.8634 images/s [10/18 05:16:26] ppdet.engine INFO: Epoch: [279] [340/523] learning_rate: 0.004524 loss_vfl: 0.688958 loss_bbox: 0.249569 loss_dfl: 0.176601 loss: 1.078733 eta: 6:58:13 batch_cost: 2.3444 data_cost: 0.0014 ips: 23.8864 images/s [10/18 05:17:16] ppdet.engine INFO: Epoch: [279] [360/523] learning_rate: 0.004507 loss_vfl: 0.692870 loss_bbox: 0.252906 loss_dfl: 0.176139 loss: 1.118148 eta: 6:57:26 batch_cost: 2.3900 data_cost: 0.0014 ips: 23.4306 images/s [10/18 05:18:07] ppdet.engine INFO: Epoch: [279] [380/523] learning_rate: 0.004490 loss_vfl: 0.689439 loss_bbox: 0.252669 loss_dfl: 0.179285 loss: 1.130649 eta: 6:56:39 batch_cost: 2.4097 data_cost: 0.0013 ips: 23.2392 images/s [10/18 05:18:56] ppdet.engine INFO: Epoch: [279] [400/523] learning_rate: 0.004473 loss_vfl: 0.705766 loss_bbox: 0.243288 loss_dfl: 0.178552 loss: 1.117699 eta: 6:55:52 batch_cost: 2.3774 data_cost: 0.0019 ips: 23.5555 images/s [10/18 05:19:45] ppdet.engine INFO: Epoch: [279] [420/523] learning_rate: 0.004457 loss_vfl: 0.677162 loss_bbox: 0.242538 loss_dfl: 0.174370 loss: 1.111708 eta: 6:55:05 batch_cost: 2.3177 data_cost: 0.0012 ips: 24.1614 images/s [10/18 05:20:35] ppdet.engine INFO: Epoch: [279] [440/523] learning_rate: 0.004440 loss_vfl: 0.700273 loss_bbox: 0.254403 loss_dfl: 0.172579 loss: 1.123623 eta: 6:54:18 batch_cost: 2.3942 data_cost: 0.0012 ips: 23.3895 images/s [10/18 05:21:26] ppdet.engine INFO: Epoch: [279] [460/523] learning_rate: 0.004423 loss_vfl: 0.689236 loss_bbox: 0.247723 loss_dfl: 0.178119 loss: 1.122967 eta: 6:53:31 batch_cost: 2.4153 data_cost: 0.0014 ips: 23.1851 images/s [10/18 05:22:16] ppdet.engine INFO: Epoch: [279] [480/523] learning_rate: 0.004406 loss_vfl: 0.689028 loss_bbox: 0.258924 loss_dfl: 0.173942 loss: 1.121734 eta: 6:52:43 batch_cost: 2.4035 data_cost: 0.0013 ips: 23.2990 images/s [10/18 05:23:07] ppdet.engine INFO: Epoch: [279] [500/523] learning_rate: 0.004390 loss_vfl: 0.708255 loss_bbox: 0.243240 loss_dfl: 0.174446 loss: 1.111949 eta: 6:51:56 batch_cost: 2.4408 data_cost: 0.0013 ips: 22.9434 images/s [10/18 05:23:50] ppdet.engine INFO: Epoch: [279] [520/523] learning_rate: 0.004373 loss_vfl: 0.685476 loss_bbox: 0.260268 loss_dfl: 0.178292 loss: 1.144563 eta: 6:51:09 batch_cost: 2.0651 data_cost: 0.0013 ips: 27.1170 images/s [10/18 05:23:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/18 05:23:58] ppdet.engine INFO: Eval iter: 0 [10/18 05:24:37] ppdet.engine INFO: Eval iter: 100 [10/18 05:24:57] ppdet.engine INFO: Eval iter: 200 [10/18 05:25:16] ppdet.engine INFO: Eval iter: 300 [10/18 05:25:36] ppdet.engine INFO: Eval iter: 400 [10/18 05:25:55] ppdet.engine INFO: Eval iter: 500 [10/18 05:26:15] ppdet.engine INFO: Eval iter: 600 [10/18 05:26:36] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.14s) creating index... index created! [10/18 05:26:37] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.32s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=100.93s). Accumulating evaluation results... DONE (t=18.22s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.358 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.518 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.378 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.384 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.562 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.302 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.244 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.731 [10/18 05:28:44] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.82779023073967 [10/18 05:28:44] ppdet.engine INFO: Best test bbox ap is 0.363. [10/18 05:28:46] ppdet.engine INFO: Epoch: [280] [ 0/523] learning_rate: 0.004370 loss_vfl: 0.685476 loss_bbox: 0.248718 loss_dfl: 0.178292 loss: 1.113883 eta: 6:51:02 batch_cost: 2.0175 data_cost: 0.0014 ips: 27.7570 images/s [10/18 05:29:38] ppdet.engine INFO: Epoch: [280] [ 20/523] learning_rate: 0.004354 loss_vfl: 0.690673 loss_bbox: 0.249794 loss_dfl: 0.175212 loss: 1.114409 eta: 6:50:15 batch_cost: 2.5009 data_cost: 0.0015 ips: 22.3921 images/s [10/18 05:30:29] ppdet.engine INFO: Epoch: [280] [ 40/523] learning_rate: 0.004337 loss_vfl: 0.690086 loss_bbox: 0.257999 loss_dfl: 0.181468 loss: 1.130780 eta: 6:49:28 batch_cost: 2.4104 data_cost: 0.0013 ips: 23.2325 images/s [10/18 05:31:19] ppdet.engine INFO: Epoch: [280] [ 60/523] learning_rate: 0.004321 loss_vfl: 0.701488 loss_bbox: 0.243134 loss_dfl: 0.173215 loss: 1.103595 eta: 6:48:41 batch_cost: 2.4010 data_cost: 0.0013 ips: 23.3238 images/s [10/18 05:32:10] ppdet.engine INFO: Epoch: [280] [ 80/523] learning_rate: 0.004304 loss_vfl: 0.679527 loss_bbox: 0.241125 loss_dfl: 0.170181 loss: 1.087902 eta: 6:47:53 batch_cost: 2.4461 data_cost: 0.0013 ips: 22.8931 images/s [10/18 05:33:00] ppdet.engine INFO: Epoch: [280] [100/523] learning_rate: 0.004288 loss_vfl: 0.681624 loss_bbox: 0.248733 loss_dfl: 0.179365 loss: 1.109416 eta: 6:47:06 batch_cost: 2.4103 data_cost: 0.0013 ips: 23.2333 images/s [10/18 05:33:51] ppdet.engine INFO: Epoch: [280] [120/523] learning_rate: 0.004271 loss_vfl: 0.685012 loss_bbox: 0.235286 loss_dfl: 0.176150 loss: 1.103637 eta: 6:46:19 batch_cost: 2.4201 data_cost: 0.0013 ips: 23.1398 images/s [10/18 05:34:41] ppdet.engine INFO: Epoch: [280] [140/523] learning_rate: 0.004255 loss_vfl: 0.679388 loss_bbox: 0.252652 loss_dfl: 0.175296 loss: 1.117577 eta: 6:45:32 batch_cost: 2.4113 data_cost: 0.0014 ips: 23.2237 images/s [10/18 05:35:32] ppdet.engine INFO: Epoch: [280] [160/523] learning_rate: 0.004238 loss_vfl: 0.693482 loss_bbox: 0.251931 loss_dfl: 0.178703 loss: 1.156908 eta: 6:44:45 batch_cost: 2.4370 data_cost: 0.0013 ips: 22.9793 images/s [10/18 05:36:21] ppdet.engine INFO: Epoch: [280] [180/523] learning_rate: 0.004222 loss_vfl: 0.682118 loss_bbox: 0.256466 loss_dfl: 0.177357 loss: 1.120357 eta: 6:43:58 batch_cost: 2.3485 data_cost: 0.0013 ips: 23.8451 images/s [10/18 05:37:11] ppdet.engine INFO: Epoch: [280] [200/523] learning_rate: 0.004206 loss_vfl: 0.676710 loss_bbox: 0.248083 loss_dfl: 0.176349 loss: 1.097471 eta: 6:43:11 batch_cost: 2.3923 data_cost: 0.0013 ips: 23.4084 images/s [10/18 05:38:00] ppdet.engine INFO: Epoch: [280] [220/523] learning_rate: 0.004189 loss_vfl: 0.680577 loss_bbox: 0.249916 loss_dfl: 0.175417 loss: 1.101618 eta: 6:42:24 batch_cost: 2.3545 data_cost: 0.0015 ips: 23.7839 images/s [10/18 05:38:50] ppdet.engine INFO: Epoch: [280] [240/523] learning_rate: 0.004173 loss_vfl: 0.672040 loss_bbox: 0.257121 loss_dfl: 0.183833 loss: 1.110478 eta: 6:41:37 batch_cost: 2.4146 data_cost: 0.0014 ips: 23.1920 images/s [10/18 05:39:39] ppdet.engine INFO: Epoch: [280] [260/523] learning_rate: 0.004157 loss_vfl: 0.678379 loss_bbox: 0.278778 loss_dfl: 0.184882 loss: 1.138959 eta: 6:40:49 batch_cost: 2.2929 data_cost: 0.0015 ips: 24.4232 images/s [10/18 05:40:29] ppdet.engine INFO: Epoch: [280] [280/523] learning_rate: 0.004140 loss_vfl: 0.690723 loss_bbox: 0.257941 loss_dfl: 0.177204 loss: 1.123963 eta: 6:40:02 batch_cost: 2.3891 data_cost: 0.0013 ips: 23.4397 images/s [10/18 05:41:19] ppdet.engine INFO: Epoch: [280] [300/523] learning_rate: 0.004124 loss_vfl: 0.683000 loss_bbox: 0.263812 loss_dfl: 0.180790 loss: 1.145244 eta: 6:39:15 batch_cost: 2.4162 data_cost: 0.0013 ips: 23.1772 images/s [10/18 05:42:09] ppdet.engine INFO: Epoch: [280] [320/523] learning_rate: 0.004108 loss_vfl: 0.695207 loss_bbox: 0.250521 loss_dfl: 0.172829 loss: 1.123221 eta: 6:38:28 batch_cost: 2.3646 data_cost: 0.0021 ips: 23.6826 images/s [10/18 05:42:58] ppdet.engine INFO: Epoch: [280] [340/523] learning_rate: 0.004092 loss_vfl: 0.683554 loss_bbox: 0.267135 loss_dfl: 0.185179 loss: 1.143055 eta: 6:37:41 batch_cost: 2.3419 data_cost: 0.0022 ips: 23.9117 images/s [10/18 05:43:48] ppdet.engine INFO: Epoch: [280] [360/523] learning_rate: 0.004076 loss_vfl: 0.682778 loss_bbox: 0.260326 loss_dfl: 0.171368 loss: 1.123224 eta: 6:36:54 batch_cost: 2.3794 data_cost: 0.0016 ips: 23.5350 images/s [10/18 05:44:40] ppdet.engine INFO: Epoch: [280] [380/523] learning_rate: 0.004060 loss_vfl: 0.690106 loss_bbox: 0.254960 loss_dfl: 0.180868 loss: 1.121121 eta: 6:36:07 batch_cost: 2.4841 data_cost: 0.0020 ips: 22.5431 images/s [10/18 05:45:31] ppdet.engine INFO: Epoch: [280] [400/523] learning_rate: 0.004044 loss_vfl: 0.692336 loss_bbox: 0.258123 loss_dfl: 0.176766 loss: 1.123763 eta: 6:35:20 batch_cost: 2.4533 data_cost: 0.0014 ips: 22.8264 images/s [10/18 05:46:23] ppdet.engine INFO: Epoch: [280] [420/523] learning_rate: 0.004028 loss_vfl: 0.692601 loss_bbox: 0.276736 loss_dfl: 0.184672 loss: 1.154531 eta: 6:34:33 batch_cost: 2.4683 data_cost: 0.0015 ips: 22.6875 images/s [10/18 05:47:12] ppdet.engine INFO: Epoch: [280] [440/523] learning_rate: 0.004012 loss_vfl: 0.682749 loss_bbox: 0.260482 loss_dfl: 0.178394 loss: 1.140916 eta: 6:33:46 batch_cost: 2.3873 data_cost: 0.0012 ips: 23.4571 images/s [10/18 05:48:01] ppdet.engine INFO: Epoch: [280] [460/523] learning_rate: 0.003996 loss_vfl: 0.690471 loss_bbox: 0.256457 loss_dfl: 0.175405 loss: 1.121865 eta: 6:32:58 batch_cost: 2.3297 data_cost: 0.0013 ips: 24.0372 images/s [10/18 05:48:50] ppdet.engine INFO: Epoch: [280] [480/523] learning_rate: 0.003980 loss_vfl: 0.694625 loss_bbox: 0.267288 loss_dfl: 0.181845 loss: 1.139726 eta: 6:32:11 batch_cost: 2.3504 data_cost: 0.0013 ips: 23.8255 images/s [10/18 05:49:39] ppdet.engine INFO: Epoch: [280] [500/523] learning_rate: 0.003964 loss_vfl: 0.698116 loss_bbox: 0.268073 loss_dfl: 0.187038 loss: 1.146480 eta: 6:31:24 batch_cost: 2.3512 data_cost: 0.0013 ips: 23.8176 images/s [10/18 05:50:24] ppdet.engine INFO: Epoch: [280] [520/523] learning_rate: 0.003948 loss_vfl: 0.694007 loss_bbox: 0.246285 loss_dfl: 0.179824 loss: 1.126105 eta: 6:30:37 batch_cost: 2.1085 data_cost: 0.0019 ips: 26.5586 images/s [10/18 05:50:56] ppdet.engine INFO: Epoch: [281] [ 0/523] learning_rate: 0.003946 loss_vfl: 0.683574 loss_bbox: 0.249683 loss_dfl: 0.179824 loss: 1.126105 eta: 6:30:31 batch_cost: 3.1242 data_cost: 0.4381 ips: 17.9249 images/s [10/18 05:51:45] ppdet.engine INFO: Epoch: [281] [ 20/523] learning_rate: 0.003930 loss_vfl: 0.679943 loss_bbox: 0.265966 loss_dfl: 0.187851 loss: 1.127643 eta: 6:29:44 batch_cost: 2.3634 data_cost: 0.0013 ips: 23.6943 images/s [10/18 05:52:36] ppdet.engine INFO: Epoch: [281] [ 40/523] learning_rate: 0.003914 loss_vfl: 0.678767 loss_bbox: 0.246569 loss_dfl: 0.175626 loss: 1.104398 eta: 6:28:57 batch_cost: 2.4154 data_cost: 0.0020 ips: 23.1846 images/s [10/18 05:53:24] ppdet.engine INFO: Epoch: [281] [ 60/523] learning_rate: 0.003898 loss_vfl: 0.672630 loss_bbox: 0.253076 loss_dfl: 0.175342 loss: 1.116253 eta: 6:28:10 batch_cost: 2.3084 data_cost: 0.0013 ips: 24.2594 images/s [10/18 05:54:14] ppdet.engine INFO: Epoch: [281] [ 80/523] learning_rate: 0.003883 loss_vfl: 0.701382 loss_bbox: 0.250542 loss_dfl: 0.174835 loss: 1.115553 eta: 6:27:22 batch_cost: 2.3973 data_cost: 0.0013 ips: 23.3595 images/s [10/18 05:55:04] ppdet.engine INFO: Epoch: [281] [100/523] learning_rate: 0.003867 loss_vfl: 0.687850 loss_bbox: 0.259576 loss_dfl: 0.170420 loss: 1.126728 eta: 6:26:35 batch_cost: 2.3704 data_cost: 0.0015 ips: 23.6252 images/s [10/18 05:55:54] ppdet.engine INFO: Epoch: [281] [120/523] learning_rate: 0.003851 loss_vfl: 0.691806 loss_bbox: 0.250399 loss_dfl: 0.177331 loss: 1.122283 eta: 6:25:48 batch_cost: 2.4071 data_cost: 0.0019 ips: 23.2648 images/s [10/18 05:56:42] ppdet.engine INFO: Epoch: [281] [140/523] learning_rate: 0.003836 loss_vfl: 0.685198 loss_bbox: 0.260555 loss_dfl: 0.183256 loss: 1.113861 eta: 6:25:01 batch_cost: 2.3211 data_cost: 0.0019 ips: 24.1269 images/s [10/18 05:57:32] ppdet.engine INFO: Epoch: [281] [160/523] learning_rate: 0.003820 loss_vfl: 0.683920 loss_bbox: 0.247747 loss_dfl: 0.175870 loss: 1.114748 eta: 6:24:14 batch_cost: 2.3599 data_cost: 0.0023 ips: 23.7296 images/s [10/18 05:58:21] ppdet.engine INFO: Epoch: [281] [180/523] learning_rate: 0.003805 loss_vfl: 0.683819 loss_bbox: 0.241369 loss_dfl: 0.172676 loss: 1.099350 eta: 6:23:27 batch_cost: 2.3503 data_cost: 0.0013 ips: 23.8270 images/s [10/18 05:59:11] ppdet.engine INFO: Epoch: [281] [200/523] learning_rate: 0.003789 loss_vfl: 0.687761 loss_bbox: 0.244966 loss_dfl: 0.174591 loss: 1.113611 eta: 6:22:40 batch_cost: 2.3973 data_cost: 0.0013 ips: 23.3593 images/s [10/18 05:59:59] ppdet.engine INFO: Epoch: [281] [220/523] learning_rate: 0.003774 loss_vfl: 0.690252 loss_bbox: 0.264621 loss_dfl: 0.183384 loss: 1.141416 eta: 6:21:52 batch_cost: 2.3155 data_cost: 0.0013 ips: 24.1848 images/s [10/18 06:00:49] ppdet.engine INFO: Epoch: [281] [240/523] learning_rate: 0.003758 loss_vfl: 0.693591 loss_bbox: 0.243044 loss_dfl: 0.183184 loss: 1.111049 eta: 6:21:05 batch_cost: 2.3603 data_cost: 0.0014 ips: 23.7256 images/s [10/18 06:01:36] ppdet.engine INFO: Epoch: [281] [260/523] learning_rate: 0.003743 loss_vfl: 0.688811 loss_bbox: 0.257843 loss_dfl: 0.185374 loss: 1.131557 eta: 6:20:18 batch_cost: 2.2753 data_cost: 0.0013 ips: 24.6123 images/s [10/18 06:02:26] ppdet.engine INFO: Epoch: [281] [280/523] learning_rate: 0.003727 loss_vfl: 0.693212 loss_bbox: 0.241414 loss_dfl: 0.178339 loss: 1.119145 eta: 6:19:31 batch_cost: 2.3701 data_cost: 0.0013 ips: 23.6276 images/s [10/18 06:03:16] ppdet.engine INFO: Epoch: [281] [300/523] learning_rate: 0.003712 loss_vfl: 0.673756 loss_bbox: 0.264418 loss_dfl: 0.176121 loss: 1.111192 eta: 6:18:44 batch_cost: 2.3716 data_cost: 0.0012 ips: 23.6125 images/s [10/18 06:04:05] ppdet.engine INFO: Epoch: [281] [320/523] learning_rate: 0.003697 loss_vfl: 0.674040 loss_bbox: 0.253390 loss_dfl: 0.179296 loss: 1.122263 eta: 6:17:56 batch_cost: 2.3511 data_cost: 0.0015 ips: 23.8189 images/s [10/18 06:04:54] ppdet.engine INFO: Epoch: [281] [340/523] learning_rate: 0.003681 loss_vfl: 0.692724 loss_bbox: 0.244515 loss_dfl: 0.172807 loss: 1.103551 eta: 6:17:09 batch_cost: 2.3438 data_cost: 0.0013 ips: 23.8925 images/s [10/18 06:05:43] ppdet.engine INFO: Epoch: [281] [360/523] learning_rate: 0.003666 loss_vfl: 0.693729 loss_bbox: 0.252961 loss_dfl: 0.178704 loss: 1.129501 eta: 6:16:22 batch_cost: 2.3624 data_cost: 0.0013 ips: 23.7050 images/s [10/18 06:06:32] ppdet.engine INFO: Epoch: [281] [380/523] learning_rate: 0.003651 loss_vfl: 0.686869 loss_bbox: 0.246937 loss_dfl: 0.169128 loss: 1.094549 eta: 6:15:35 batch_cost: 2.3533 data_cost: 0.0013 ips: 23.7959 images/s [10/18 06:07:21] ppdet.engine INFO: Epoch: [281] [400/523] learning_rate: 0.003635 loss_vfl: 0.687673 loss_bbox: 0.251884 loss_dfl: 0.175663 loss: 1.100250 eta: 6:14:48 batch_cost: 2.3623 data_cost: 0.0012 ips: 23.7062 images/s [10/18 06:08:11] ppdet.engine INFO: Epoch: [281] [420/523] learning_rate: 0.003620 loss_vfl: 0.692030 loss_bbox: 0.247881 loss_dfl: 0.172713 loss: 1.113504 eta: 6:14:01 batch_cost: 2.3587 data_cost: 0.0012 ips: 23.7421 images/s [10/18 06:09:01] ppdet.engine INFO: Epoch: [281] [440/523] learning_rate: 0.003605 loss_vfl: 0.677686 loss_bbox: 0.249823 loss_dfl: 0.173418 loss: 1.102961 eta: 6:13:13 batch_cost: 2.3926 data_cost: 0.0012 ips: 23.4057 images/s [10/18 06:09:51] ppdet.engine INFO: Epoch: [281] [460/523] learning_rate: 0.003590 loss_vfl: 0.694969 loss_bbox: 0.241098 loss_dfl: 0.178526 loss: 1.115804 eta: 6:12:26 batch_cost: 2.3830 data_cost: 0.0013 ips: 23.5000 images/s [10/18 06:10:40] ppdet.engine INFO: Epoch: [281] [480/523] learning_rate: 0.003575 loss_vfl: 0.680008 loss_bbox: 0.243019 loss_dfl: 0.173927 loss: 1.113640 eta: 6:11:39 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6483 images/s [10/18 06:11:29] ppdet.engine INFO: Epoch: [281] [500/523] learning_rate: 0.003560 loss_vfl: 0.691607 loss_bbox: 0.246340 loss_dfl: 0.170044 loss: 1.093976 eta: 6:10:52 batch_cost: 2.3561 data_cost: 0.0014 ips: 23.7685 images/s [10/18 06:12:13] ppdet.engine INFO: Epoch: [281] [520/523] learning_rate: 0.003545 loss_vfl: 0.694567 loss_bbox: 0.251767 loss_dfl: 0.176436 loss: 1.119537 eta: 6:10:05 batch_cost: 2.0766 data_cost: 0.0013 ips: 26.9669 images/s [10/18 06:12:41] ppdet.engine INFO: Epoch: [282] [ 0/523] learning_rate: 0.003543 loss_vfl: 0.696406 loss_bbox: 0.251767 loss_dfl: 0.177330 loss: 1.119537 eta: 6:09:59 batch_cost: 2.8912 data_cost: 0.5716 ips: 19.3690 images/s [10/18 06:13:37] ppdet.engine INFO: Epoch: [282] [ 20/523] learning_rate: 0.003528 loss_vfl: 0.686376 loss_bbox: 0.257793 loss_dfl: 0.180198 loss: 1.113625 eta: 6:09:12 batch_cost: 2.6514 data_cost: 0.0021 ips: 21.1206 images/s [10/18 06:14:26] ppdet.engine INFO: Epoch: [282] [ 40/523] learning_rate: 0.003513 loss_vfl: 0.687780 loss_bbox: 0.263455 loss_dfl: 0.182102 loss: 1.131120 eta: 6:08:25 batch_cost: 2.3472 data_cost: 0.0022 ips: 23.8578 images/s [10/18 06:15:17] ppdet.engine INFO: Epoch: [282] [ 60/523] learning_rate: 0.003498 loss_vfl: 0.685065 loss_bbox: 0.246736 loss_dfl: 0.174869 loss: 1.113575 eta: 6:07:38 batch_cost: 2.4738 data_cost: 0.0020 ips: 22.6369 images/s [10/18 06:16:07] ppdet.engine INFO: Epoch: [282] [ 80/523] learning_rate: 0.003483 loss_vfl: 0.671979 loss_bbox: 0.248142 loss_dfl: 0.178830 loss: 1.100960 eta: 6:06:50 batch_cost: 2.3598 data_cost: 0.0033 ips: 23.7311 images/s [10/18 06:16:55] ppdet.engine INFO: Epoch: [282] [100/523] learning_rate: 0.003468 loss_vfl: 0.680241 loss_bbox: 0.251602 loss_dfl: 0.177006 loss: 1.093210 eta: 6:06:03 batch_cost: 2.3306 data_cost: 0.0016 ips: 24.0283 images/s [10/18 06:17:46] ppdet.engine INFO: Epoch: [282] [120/523] learning_rate: 0.003453 loss_vfl: 0.691328 loss_bbox: 0.245499 loss_dfl: 0.178153 loss: 1.122428 eta: 6:05:16 batch_cost: 2.3897 data_cost: 0.0016 ips: 23.4339 images/s [10/18 06:18:36] ppdet.engine INFO: Epoch: [282] [140/523] learning_rate: 0.003438 loss_vfl: 0.691863 loss_bbox: 0.258833 loss_dfl: 0.179733 loss: 1.135945 eta: 6:04:29 batch_cost: 2.4026 data_cost: 0.0025 ips: 23.3078 images/s [10/18 06:19:27] ppdet.engine INFO: Epoch: [282] [160/523] learning_rate: 0.003423 loss_vfl: 0.698568 loss_bbox: 0.256242 loss_dfl: 0.179705 loss: 1.146471 eta: 6:03:42 batch_cost: 2.4438 data_cost: 0.0013 ips: 22.9156 images/s [10/18 06:20:16] ppdet.engine INFO: Epoch: [282] [180/523] learning_rate: 0.003409 loss_vfl: 0.686269 loss_bbox: 0.246853 loss_dfl: 0.175450 loss: 1.095490 eta: 6:02:55 batch_cost: 2.3632 data_cost: 0.0013 ips: 23.6965 images/s [10/18 06:21:06] ppdet.engine INFO: Epoch: [282] [200/523] learning_rate: 0.003394 loss_vfl: 0.681815 loss_bbox: 0.249960 loss_dfl: 0.173168 loss: 1.109930 eta: 6:02:08 batch_cost: 2.3645 data_cost: 0.0012 ips: 23.6832 images/s [10/18 06:21:55] ppdet.engine INFO: Epoch: [282] [220/523] learning_rate: 0.003379 loss_vfl: 0.689428 loss_bbox: 0.238295 loss_dfl: 0.172485 loss: 1.117558 eta: 6:01:20 batch_cost: 2.3804 data_cost: 0.0020 ips: 23.5251 images/s [10/18 06:22:44] ppdet.engine INFO: Epoch: [282] [240/523] learning_rate: 0.003365 loss_vfl: 0.677382 loss_bbox: 0.239413 loss_dfl: 0.169006 loss: 1.089728 eta: 6:00:33 batch_cost: 2.3436 data_cost: 0.0026 ips: 23.8952 images/s [10/18 06:23:34] ppdet.engine INFO: Epoch: [282] [260/523] learning_rate: 0.003350 loss_vfl: 0.692270 loss_bbox: 0.256452 loss_dfl: 0.178112 loss: 1.135798 eta: 5:59:46 batch_cost: 2.3544 data_cost: 0.0012 ips: 23.7855 images/s [10/18 06:24:23] ppdet.engine INFO: Epoch: [282] [280/523] learning_rate: 0.003336 loss_vfl: 0.682893 loss_bbox: 0.250462 loss_dfl: 0.176882 loss: 1.096270 eta: 5:58:59 batch_cost: 2.3423 data_cost: 0.0019 ips: 23.9084 images/s [10/18 06:25:12] ppdet.engine INFO: Epoch: [282] [300/523] learning_rate: 0.003321 loss_vfl: 0.678520 loss_bbox: 0.263943 loss_dfl: 0.181282 loss: 1.124131 eta: 5:58:12 batch_cost: 2.3655 data_cost: 0.0025 ips: 23.6740 images/s [10/18 06:26:02] ppdet.engine INFO: Epoch: [282] [320/523] learning_rate: 0.003306 loss_vfl: 0.695739 loss_bbox: 0.239469 loss_dfl: 0.173376 loss: 1.113251 eta: 5:57:25 batch_cost: 2.3736 data_cost: 0.0020 ips: 23.5933 images/s [10/18 06:26:51] ppdet.engine INFO: Epoch: [282] [340/523] learning_rate: 0.003292 loss_vfl: 0.692631 loss_bbox: 0.248568 loss_dfl: 0.179852 loss: 1.124952 eta: 5:56:37 batch_cost: 2.3578 data_cost: 0.0019 ips: 23.7511 images/s [10/18 06:27:39] ppdet.engine INFO: Epoch: [282] [360/523] learning_rate: 0.003278 loss_vfl: 0.692417 loss_bbox: 0.243958 loss_dfl: 0.177396 loss: 1.109481 eta: 5:55:50 batch_cost: 2.2872 data_cost: 0.0064 ips: 24.4837 images/s [10/18 06:28:27] ppdet.engine INFO: Epoch: [282] [380/523] learning_rate: 0.003263 loss_vfl: 0.686448 loss_bbox: 0.247865 loss_dfl: 0.179406 loss: 1.142334 eta: 5:55:03 batch_cost: 2.2943 data_cost: 0.0012 ips: 24.4085 images/s [10/18 06:29:17] ppdet.engine INFO: Epoch: [282] [400/523] learning_rate: 0.003249 loss_vfl: 0.705780 loss_bbox: 0.250347 loss_dfl: 0.172759 loss: 1.119937 eta: 5:54:16 batch_cost: 2.3850 data_cost: 0.0015 ips: 23.4805 images/s [10/18 06:30:06] ppdet.engine INFO: Epoch: [282] [420/523] learning_rate: 0.003234 loss_vfl: 0.690695 loss_bbox: 0.244205 loss_dfl: 0.166708 loss: 1.111912 eta: 5:53:29 batch_cost: 2.3611 data_cost: 0.0021 ips: 23.7176 images/s [10/18 06:30:55] ppdet.engine INFO: Epoch: [282] [440/523] learning_rate: 0.003220 loss_vfl: 0.675131 loss_bbox: 0.248850 loss_dfl: 0.175448 loss: 1.112754 eta: 5:52:42 batch_cost: 2.3433 data_cost: 0.0012 ips: 23.8980 images/s [10/18 06:31:45] ppdet.engine INFO: Epoch: [282] [460/523] learning_rate: 0.003206 loss_vfl: 0.708165 loss_bbox: 0.244350 loss_dfl: 0.172164 loss: 1.145546 eta: 5:51:54 batch_cost: 2.3805 data_cost: 0.0022 ips: 23.5240 images/s [10/18 06:32:34] ppdet.engine INFO: Epoch: [282] [480/523] learning_rate: 0.003191 loss_vfl: 0.689991 loss_bbox: 0.256495 loss_dfl: 0.177554 loss: 1.119546 eta: 5:51:07 batch_cost: 2.3153 data_cost: 0.0019 ips: 24.1874 images/s [10/18 06:33:24] ppdet.engine INFO: Epoch: [282] [500/523] learning_rate: 0.003177 loss_vfl: 0.685326 loss_bbox: 0.251216 loss_dfl: 0.179643 loss: 1.109750 eta: 5:50:20 batch_cost: 2.4049 data_cost: 0.0027 ips: 23.2862 images/s [10/18 06:34:07] ppdet.engine INFO: Epoch: [282] [520/523] learning_rate: 0.003163 loss_vfl: 0.705162 loss_bbox: 0.237238 loss_dfl: 0.178294 loss: 1.108578 eta: 5:49:33 batch_cost: 2.0576 data_cost: 0.0012 ips: 27.2160 images/s [10/18 06:34:37] ppdet.engine INFO: Epoch: [283] [ 0/523] learning_rate: 0.003161 loss_vfl: 0.705162 loss_bbox: 0.233394 loss_dfl: 0.170516 loss: 1.098812 eta: 5:49:27 batch_cost: 2.9477 data_cost: 0.4031 ips: 18.9980 images/s [10/18 06:35:29] ppdet.engine INFO: Epoch: [283] [ 20/523] learning_rate: 0.003147 loss_vfl: 0.694532 loss_bbox: 0.261556 loss_dfl: 0.173424 loss: 1.140748 eta: 5:48:40 batch_cost: 2.4737 data_cost: 0.0014 ips: 22.6380 images/s [10/18 06:36:20] ppdet.engine INFO: Epoch: [283] [ 40/523] learning_rate: 0.003133 loss_vfl: 0.690570 loss_bbox: 0.266718 loss_dfl: 0.178666 loss: 1.139184 eta: 5:47:52 batch_cost: 2.4414 data_cost: 0.0019 ips: 22.9374 images/s [10/18 06:37:10] ppdet.engine INFO: Epoch: [283] [ 60/523] learning_rate: 0.003118 loss_vfl: 0.675113 loss_bbox: 0.262761 loss_dfl: 0.188141 loss: 1.144835 eta: 5:47:05 batch_cost: 2.3925 data_cost: 0.0013 ips: 23.4063 images/s [10/18 06:38:01] ppdet.engine INFO: Epoch: [283] [ 80/523] learning_rate: 0.003104 loss_vfl: 0.692022 loss_bbox: 0.243412 loss_dfl: 0.171446 loss: 1.103619 eta: 5:46:18 batch_cost: 2.4604 data_cost: 0.0013 ips: 22.7610 images/s [10/18 06:38:52] ppdet.engine INFO: Epoch: [283] [100/523] learning_rate: 0.003090 loss_vfl: 0.688305 loss_bbox: 0.248853 loss_dfl: 0.175289 loss: 1.122198 eta: 5:45:31 batch_cost: 2.3967 data_cost: 0.0013 ips: 23.3650 images/s [10/18 06:39:42] ppdet.engine INFO: Epoch: [283] [120/523] learning_rate: 0.003076 loss_vfl: 0.682899 loss_bbox: 0.235943 loss_dfl: 0.172444 loss: 1.092074 eta: 5:44:44 batch_cost: 2.4135 data_cost: 0.0013 ips: 23.2028 images/s [10/18 06:40:32] ppdet.engine INFO: Epoch: [283] [140/523] learning_rate: 0.003062 loss_vfl: 0.691035 loss_bbox: 0.243337 loss_dfl: 0.169022 loss: 1.104926 eta: 5:43:57 batch_cost: 2.3979 data_cost: 0.0026 ips: 23.3536 images/s [10/18 06:41:23] ppdet.engine INFO: Epoch: [283] [160/523] learning_rate: 0.003048 loss_vfl: 0.683944 loss_bbox: 0.258719 loss_dfl: 0.173951 loss: 1.131387 eta: 5:43:10 batch_cost: 2.4100 data_cost: 0.0013 ips: 23.2368 images/s [10/18 06:42:14] ppdet.engine INFO: Epoch: [283] [180/523] learning_rate: 0.003035 loss_vfl: 0.692737 loss_bbox: 0.268526 loss_dfl: 0.185387 loss: 1.142008 eta: 5:42:23 batch_cost: 2.4406 data_cost: 0.0027 ips: 22.9454 images/s [10/18 06:43:03] ppdet.engine INFO: Epoch: [283] [200/523] learning_rate: 0.003021 loss_vfl: 0.687601 loss_bbox: 0.239184 loss_dfl: 0.171843 loss: 1.110677 eta: 5:41:36 batch_cost: 2.3495 data_cost: 0.0020 ips: 23.8348 images/s [10/18 06:43:51] ppdet.engine INFO: Epoch: [283] [220/523] learning_rate: 0.003007 loss_vfl: 0.671679 loss_bbox: 0.256356 loss_dfl: 0.172570 loss: 1.112549 eta: 5:40:48 batch_cost: 2.2832 data_cost: 0.0013 ips: 24.5266 images/s [10/18 06:44:40] ppdet.engine INFO: Epoch: [283] [240/523] learning_rate: 0.002993 loss_vfl: 0.688016 loss_bbox: 0.253913 loss_dfl: 0.175442 loss: 1.122720 eta: 5:40:01 batch_cost: 2.3519 data_cost: 0.0013 ips: 23.8107 images/s [10/18 06:45:30] ppdet.engine INFO: Epoch: [283] [260/523] learning_rate: 0.002979 loss_vfl: 0.690318 loss_bbox: 0.242723 loss_dfl: 0.174782 loss: 1.103979 eta: 5:39:14 batch_cost: 2.3922 data_cost: 0.0021 ips: 23.4090 images/s [10/18 06:46:20] ppdet.engine INFO: Epoch: [283] [280/523] learning_rate: 0.002965 loss_vfl: 0.686248 loss_bbox: 0.248734 loss_dfl: 0.175060 loss: 1.090847 eta: 5:38:27 batch_cost: 2.4071 data_cost: 0.0023 ips: 23.2642 images/s [10/18 06:47:11] ppdet.engine INFO: Epoch: [283] [300/523] learning_rate: 0.002952 loss_vfl: 0.676569 loss_bbox: 0.252054 loss_dfl: 0.174692 loss: 1.107876 eta: 5:37:40 batch_cost: 2.4007 data_cost: 0.0014 ips: 23.3263 images/s [10/18 06:48:00] ppdet.engine INFO: Epoch: [283] [320/523] learning_rate: 0.002938 loss_vfl: 0.689186 loss_bbox: 0.241450 loss_dfl: 0.174055 loss: 1.102912 eta: 5:36:53 batch_cost: 2.3636 data_cost: 0.0012 ips: 23.6924 images/s [10/18 06:48:51] ppdet.engine INFO: Epoch: [283] [340/523] learning_rate: 0.002924 loss_vfl: 0.684532 loss_bbox: 0.257213 loss_dfl: 0.177241 loss: 1.128443 eta: 5:36:06 batch_cost: 2.4277 data_cost: 0.0019 ips: 23.0673 images/s [10/18 06:49:40] ppdet.engine INFO: Epoch: [283] [360/523] learning_rate: 0.002911 loss_vfl: 0.688627 loss_bbox: 0.260489 loss_dfl: 0.178055 loss: 1.145381 eta: 5:35:18 batch_cost: 2.3812 data_cost: 0.0012 ips: 23.5172 images/s [10/18 06:50:31] ppdet.engine INFO: Epoch: [283] [380/523] learning_rate: 0.002897 loss_vfl: 0.696776 loss_bbox: 0.239252 loss_dfl: 0.174692 loss: 1.108765 eta: 5:34:31 batch_cost: 2.4124 data_cost: 0.0012 ips: 23.2131 images/s [10/18 06:51:21] ppdet.engine INFO: Epoch: [283] [400/523] learning_rate: 0.002884 loss_vfl: 0.688670 loss_bbox: 0.262898 loss_dfl: 0.178005 loss: 1.122148 eta: 5:33:44 batch_cost: 2.4067 data_cost: 0.0019 ips: 23.2687 images/s [10/18 06:52:10] ppdet.engine INFO: Epoch: [283] [420/523] learning_rate: 0.002870 loss_vfl: 0.709033 loss_bbox: 0.255221 loss_dfl: 0.182634 loss: 1.144015 eta: 5:32:57 batch_cost: 2.3636 data_cost: 0.0014 ips: 23.6926 images/s [10/18 06:53:00] ppdet.engine INFO: Epoch: [283] [440/523] learning_rate: 0.002856 loss_vfl: 0.681297 loss_bbox: 0.261444 loss_dfl: 0.181296 loss: 1.132908 eta: 5:32:10 batch_cost: 2.3668 data_cost: 0.0013 ips: 23.6606 images/s [10/18 06:53:50] ppdet.engine INFO: Epoch: [283] [460/523] learning_rate: 0.002843 loss_vfl: 0.690819 loss_bbox: 0.262685 loss_dfl: 0.180775 loss: 1.118917 eta: 5:31:23 batch_cost: 2.4071 data_cost: 0.0012 ips: 23.2647 images/s [10/18 06:54:43] ppdet.engine INFO: Epoch: [283] [480/523] learning_rate: 0.002830 loss_vfl: 0.687118 loss_bbox: 0.263395 loss_dfl: 0.184574 loss: 1.148983 eta: 5:30:36 batch_cost: 2.5103 data_cost: 0.0033 ips: 22.3081 images/s [10/18 06:55:33] ppdet.engine INFO: Epoch: [283] [500/523] learning_rate: 0.002816 loss_vfl: 0.676759 loss_bbox: 0.263654 loss_dfl: 0.183386 loss: 1.121406 eta: 5:29:49 batch_cost: 2.3874 data_cost: 0.0026 ips: 23.4561 images/s [10/18 06:56:17] ppdet.engine INFO: Epoch: [283] [520/523] learning_rate: 0.002803 loss_vfl: 0.698790 loss_bbox: 0.255851 loss_dfl: 0.181963 loss: 1.150828 eta: 5:29:01 batch_cost: 2.0975 data_cost: 0.0012 ips: 26.6979 images/s [10/18 06:56:46] ppdet.engine INFO: Epoch: [284] [ 0/523] learning_rate: 0.002801 loss_vfl: 0.698790 loss_bbox: 0.240235 loss_dfl: 0.180669 loss: 1.123688 eta: 5:28:55 batch_cost: 3.0295 data_cost: 0.7097 ips: 18.4850 images/s [10/18 06:57:38] ppdet.engine INFO: Epoch: [284] [ 20/523] learning_rate: 0.002787 loss_vfl: 0.683066 loss_bbox: 0.260381 loss_dfl: 0.181166 loss: 1.137553 eta: 5:28:08 batch_cost: 2.5113 data_cost: 0.0012 ips: 22.2990 images/s [10/18 06:58:29] ppdet.engine INFO: Epoch: [284] [ 40/523] learning_rate: 0.002774 loss_vfl: 0.690682 loss_bbox: 0.255473 loss_dfl: 0.175432 loss: 1.125417 eta: 5:27:21 batch_cost: 2.4094 data_cost: 0.0024 ips: 23.2425 images/s [10/18 06:59:18] ppdet.engine INFO: Epoch: [284] [ 60/523] learning_rate: 0.002761 loss_vfl: 0.694691 loss_bbox: 0.259642 loss_dfl: 0.186496 loss: 1.117720 eta: 5:26:34 batch_cost: 2.3512 data_cost: 0.0019 ips: 23.8174 images/s [10/18 07:00:08] ppdet.engine INFO: Epoch: [284] [ 80/523] learning_rate: 0.002748 loss_vfl: 0.685144 loss_bbox: 0.267583 loss_dfl: 0.186743 loss: 1.132832 eta: 5:25:47 batch_cost: 2.3773 data_cost: 0.0026 ips: 23.5560 images/s [10/18 07:00:58] ppdet.engine INFO: Epoch: [284] [100/523] learning_rate: 0.002734 loss_vfl: 0.676283 loss_bbox: 0.260085 loss_dfl: 0.182563 loss: 1.119875 eta: 5:25:00 batch_cost: 2.3986 data_cost: 0.0020 ips: 23.3467 images/s [10/18 07:01:47] ppdet.engine INFO: Epoch: [284] [120/523] learning_rate: 0.002721 loss_vfl: 0.679586 loss_bbox: 0.254271 loss_dfl: 0.175670 loss: 1.100020 eta: 5:24:12 batch_cost: 2.3277 data_cost: 0.0026 ips: 24.0582 images/s [10/18 07:02:37] ppdet.engine INFO: Epoch: [284] [140/523] learning_rate: 0.002708 loss_vfl: 0.680283 loss_bbox: 0.264437 loss_dfl: 0.184946 loss: 1.129573 eta: 5:23:25 batch_cost: 2.4180 data_cost: 0.0015 ips: 23.1599 images/s [10/18 07:03:27] ppdet.engine INFO: Epoch: [284] [160/523] learning_rate: 0.002695 loss_vfl: 0.691351 loss_bbox: 0.258041 loss_dfl: 0.177311 loss: 1.129900 eta: 5:22:38 batch_cost: 2.3902 data_cost: 0.0022 ips: 23.4294 images/s [10/18 07:04:17] ppdet.engine INFO: Epoch: [284] [180/523] learning_rate: 0.002682 loss_vfl: 0.689734 loss_bbox: 0.251069 loss_dfl: 0.179869 loss: 1.130404 eta: 5:21:51 batch_cost: 2.3540 data_cost: 0.0023 ips: 23.7898 images/s [10/18 07:05:07] ppdet.engine INFO: Epoch: [284] [200/523] learning_rate: 0.002669 loss_vfl: 0.680987 loss_bbox: 0.266680 loss_dfl: 0.175296 loss: 1.121807 eta: 5:21:04 batch_cost: 2.3820 data_cost: 0.0026 ips: 23.5094 images/s [10/18 07:05:55] ppdet.engine INFO: Epoch: [284] [220/523] learning_rate: 0.002656 loss_vfl: 0.686367 loss_bbox: 0.273056 loss_dfl: 0.181858 loss: 1.130940 eta: 5:20:17 batch_cost: 2.3335 data_cost: 0.0021 ips: 23.9983 images/s [10/18 07:06:44] ppdet.engine INFO: Epoch: [284] [240/523] learning_rate: 0.002643 loss_vfl: 0.689708 loss_bbox: 0.249555 loss_dfl: 0.171699 loss: 1.119191 eta: 5:19:29 batch_cost: 2.3313 data_cost: 0.0021 ips: 24.0208 images/s [10/18 07:07:36] ppdet.engine INFO: Epoch: [284] [260/523] learning_rate: 0.002630 loss_vfl: 0.687853 loss_bbox: 0.250807 loss_dfl: 0.173659 loss: 1.117321 eta: 5:18:42 batch_cost: 2.4615 data_cost: 0.0020 ips: 22.7506 images/s [10/18 07:08:25] ppdet.engine INFO: Epoch: [284] [280/523] learning_rate: 0.002617 loss_vfl: 0.678839 loss_bbox: 0.271523 loss_dfl: 0.184642 loss: 1.134355 eta: 5:17:55 batch_cost: 2.3474 data_cost: 0.0013 ips: 23.8561 images/s [10/18 07:09:13] ppdet.engine INFO: Epoch: [284] [300/523] learning_rate: 0.002604 loss_vfl: 0.690900 loss_bbox: 0.236962 loss_dfl: 0.167794 loss: 1.111239 eta: 5:17:08 batch_cost: 2.3204 data_cost: 0.0013 ips: 24.1336 images/s [10/18 07:10:03] ppdet.engine INFO: Epoch: [284] [320/523] learning_rate: 0.002591 loss_vfl: 0.691819 loss_bbox: 0.256920 loss_dfl: 0.172836 loss: 1.110166 eta: 5:16:21 batch_cost: 2.3671 data_cost: 0.0015 ips: 23.6573 images/s [10/18 07:10:52] ppdet.engine INFO: Epoch: [284] [340/523] learning_rate: 0.002578 loss_vfl: 0.693135 loss_bbox: 0.255544 loss_dfl: 0.177630 loss: 1.135097 eta: 5:15:34 batch_cost: 2.3753 data_cost: 0.0079 ips: 23.5755 images/s [10/18 07:11:41] ppdet.engine INFO: Epoch: [284] [360/523] learning_rate: 0.002565 loss_vfl: 0.681370 loss_bbox: 0.239767 loss_dfl: 0.175171 loss: 1.103453 eta: 5:14:46 batch_cost: 2.3402 data_cost: 0.0021 ips: 23.9296 images/s [10/18 07:12:32] ppdet.engine INFO: Epoch: [284] [380/523] learning_rate: 0.002553 loss_vfl: 0.700091 loss_bbox: 0.261328 loss_dfl: 0.177809 loss: 1.135176 eta: 5:13:59 batch_cost: 2.4211 data_cost: 0.0031 ips: 23.1299 images/s [10/18 07:13:21] ppdet.engine INFO: Epoch: [284] [400/523] learning_rate: 0.002540 loss_vfl: 0.680374 loss_bbox: 0.253223 loss_dfl: 0.175752 loss: 1.123739 eta: 5:13:12 batch_cost: 2.3363 data_cost: 0.0012 ips: 23.9692 images/s [10/18 07:14:09] ppdet.engine INFO: Epoch: [284] [420/523] learning_rate: 0.002527 loss_vfl: 0.684121 loss_bbox: 0.256620 loss_dfl: 0.176797 loss: 1.130780 eta: 5:12:25 batch_cost: 2.2813 data_cost: 0.0019 ips: 24.5474 images/s [10/18 07:14:59] ppdet.engine INFO: Epoch: [284] [440/523] learning_rate: 0.002515 loss_vfl: 0.702967 loss_bbox: 0.255414 loss_dfl: 0.176090 loss: 1.130400 eta: 5:11:38 batch_cost: 2.3718 data_cost: 0.0024 ips: 23.6106 images/s [10/18 07:15:47] ppdet.engine INFO: Epoch: [284] [460/523] learning_rate: 0.002502 loss_vfl: 0.691119 loss_bbox: 0.243340 loss_dfl: 0.181446 loss: 1.126364 eta: 5:10:51 batch_cost: 2.3326 data_cost: 0.0012 ips: 24.0075 images/s [10/18 07:16:36] ppdet.engine INFO: Epoch: [284] [480/523] learning_rate: 0.002489 loss_vfl: 0.682017 loss_bbox: 0.252413 loss_dfl: 0.175394 loss: 1.090906 eta: 5:10:03 batch_cost: 2.3289 data_cost: 0.0012 ips: 24.0460 images/s [10/18 07:17:26] ppdet.engine INFO: Epoch: [284] [500/523] learning_rate: 0.002477 loss_vfl: 0.682514 loss_bbox: 0.251416 loss_dfl: 0.178456 loss: 1.109553 eta: 5:09:16 batch_cost: 2.3878 data_cost: 0.0022 ips: 23.4523 images/s [10/18 07:18:08] ppdet.engine INFO: Epoch: [284] [520/523] learning_rate: 0.002464 loss_vfl: 0.667751 loss_bbox: 0.259134 loss_dfl: 0.182194 loss: 1.123736 eta: 5:08:29 batch_cost: 2.0244 data_cost: 0.0012 ips: 27.6619 images/s [10/18 07:18:37] ppdet.engine INFO: Epoch: [285] [ 0/523] learning_rate: 0.002462 loss_vfl: 0.668779 loss_bbox: 0.238116 loss_dfl: 0.178294 loss: 1.111480 eta: 5:08:23 batch_cost: 2.8717 data_cost: 0.6261 ips: 19.5003 images/s [10/18 07:19:31] ppdet.engine INFO: Epoch: [285] [ 20/523] learning_rate: 0.002450 loss_vfl: 0.674679 loss_bbox: 0.256263 loss_dfl: 0.181148 loss: 1.119304 eta: 5:07:36 batch_cost: 2.6115 data_cost: 0.0023 ips: 21.4440 images/s [10/18 07:20:24] ppdet.engine INFO: Epoch: [285] [ 40/523] learning_rate: 0.002437 loss_vfl: 0.683683 loss_bbox: 0.250845 loss_dfl: 0.177756 loss: 1.131097 eta: 5:06:49 batch_cost: 2.5154 data_cost: 0.0016 ips: 22.2627 images/s [10/18 07:21:14] ppdet.engine INFO: Epoch: [285] [ 60/523] learning_rate: 0.002425 loss_vfl: 0.686768 loss_bbox: 0.262457 loss_dfl: 0.183507 loss: 1.121809 eta: 5:06:01 batch_cost: 2.4139 data_cost: 0.0030 ips: 23.1989 images/s [10/18 07:22:05] ppdet.engine INFO: Epoch: [285] [ 80/523] learning_rate: 0.002412 loss_vfl: 0.688003 loss_bbox: 0.245852 loss_dfl: 0.176667 loss: 1.120915 eta: 5:05:14 batch_cost: 2.4184 data_cost: 0.0013 ips: 23.1554 images/s [10/18 07:22:55] ppdet.engine INFO: Epoch: [285] [100/523] learning_rate: 0.002400 loss_vfl: 0.684372 loss_bbox: 0.268399 loss_dfl: 0.180148 loss: 1.150350 eta: 5:04:27 batch_cost: 2.4138 data_cost: 0.0014 ips: 23.2003 images/s [10/18 07:23:45] ppdet.engine INFO: Epoch: [285] [120/523] learning_rate: 0.002388 loss_vfl: 0.678952 loss_bbox: 0.251682 loss_dfl: 0.175732 loss: 1.092916 eta: 5:03:40 batch_cost: 2.3885 data_cost: 0.0013 ips: 23.4457 images/s [10/18 07:24:35] ppdet.engine INFO: Epoch: [285] [140/523] learning_rate: 0.002375 loss_vfl: 0.682218 loss_bbox: 0.262052 loss_dfl: 0.181809 loss: 1.133421 eta: 5:02:53 batch_cost: 2.4148 data_cost: 0.0013 ips: 23.1906 images/s [10/18 07:25:25] ppdet.engine INFO: Epoch: [285] [160/523] learning_rate: 0.002363 loss_vfl: 0.689926 loss_bbox: 0.247309 loss_dfl: 0.173948 loss: 1.100478 eta: 5:02:06 batch_cost: 2.3740 data_cost: 0.0013 ips: 23.5890 images/s [10/18 07:26:15] ppdet.engine INFO: Epoch: [285] [180/523] learning_rate: 0.002351 loss_vfl: 0.681354 loss_bbox: 0.260986 loss_dfl: 0.182358 loss: 1.121330 eta: 5:01:19 batch_cost: 2.3999 data_cost: 0.0015 ips: 23.3347 images/s [10/18 07:27:05] ppdet.engine INFO: Epoch: [285] [200/523] learning_rate: 0.002339 loss_vfl: 0.682513 loss_bbox: 0.264666 loss_dfl: 0.178743 loss: 1.131165 eta: 5:00:32 batch_cost: 2.3694 data_cost: 0.0014 ips: 23.6348 images/s [10/18 07:27:55] ppdet.engine INFO: Epoch: [285] [220/523] learning_rate: 0.002326 loss_vfl: 0.684351 loss_bbox: 0.257179 loss_dfl: 0.184640 loss: 1.119235 eta: 4:59:44 batch_cost: 2.3874 data_cost: 0.0013 ips: 23.4561 images/s [10/18 07:28:44] ppdet.engine INFO: Epoch: [285] [240/523] learning_rate: 0.002314 loss_vfl: 0.690937 loss_bbox: 0.266125 loss_dfl: 0.178486 loss: 1.139305 eta: 4:58:57 batch_cost: 2.3330 data_cost: 0.0013 ips: 24.0037 images/s [10/18 07:29:34] ppdet.engine INFO: Epoch: [285] [260/523] learning_rate: 0.002302 loss_vfl: 0.680619 loss_bbox: 0.242279 loss_dfl: 0.171101 loss: 1.107338 eta: 4:58:10 batch_cost: 2.3972 data_cost: 0.0014 ips: 23.3604 images/s [10/18 07:30:25] ppdet.engine INFO: Epoch: [285] [280/523] learning_rate: 0.002290 loss_vfl: 0.686451 loss_bbox: 0.245417 loss_dfl: 0.181861 loss: 1.126107 eta: 4:57:23 batch_cost: 2.4694 data_cost: 0.0013 ips: 22.6774 images/s [10/18 07:31:14] ppdet.engine INFO: Epoch: [285] [300/523] learning_rate: 0.002278 loss_vfl: 0.692969 loss_bbox: 0.248692 loss_dfl: 0.168767 loss: 1.116648 eta: 4:56:36 batch_cost: 2.3551 data_cost: 0.0015 ips: 23.7779 images/s [10/18 07:32:04] ppdet.engine INFO: Epoch: [285] [320/523] learning_rate: 0.002266 loss_vfl: 0.679382 loss_bbox: 0.239987 loss_dfl: 0.168829 loss: 1.080195 eta: 4:55:49 batch_cost: 2.3282 data_cost: 0.0013 ips: 24.0532 images/s [10/18 07:32:54] ppdet.engine INFO: Epoch: [285] [340/523] learning_rate: 0.002254 loss_vfl: 0.682791 loss_bbox: 0.256776 loss_dfl: 0.183210 loss: 1.126732 eta: 4:55:01 batch_cost: 2.3920 data_cost: 0.0013 ips: 23.4118 images/s [10/18 07:33:43] ppdet.engine INFO: Epoch: [285] [360/523] learning_rate: 0.002242 loss_vfl: 0.693973 loss_bbox: 0.240247 loss_dfl: 0.174736 loss: 1.111329 eta: 4:54:14 batch_cost: 2.3663 data_cost: 0.0015 ips: 23.6655 images/s [10/18 07:34:34] ppdet.engine INFO: Epoch: [285] [380/523] learning_rate: 0.002230 loss_vfl: 0.694623 loss_bbox: 0.254952 loss_dfl: 0.179114 loss: 1.117517 eta: 4:53:27 batch_cost: 2.4303 data_cost: 0.0013 ips: 23.0424 images/s [10/18 07:35:24] ppdet.engine INFO: Epoch: [285] [400/523] learning_rate: 0.002218 loss_vfl: 0.703099 loss_bbox: 0.251000 loss_dfl: 0.173310 loss: 1.126250 eta: 4:52:40 batch_cost: 2.3867 data_cost: 0.0013 ips: 23.4633 images/s [10/18 07:36:13] ppdet.engine INFO: Epoch: [285] [420/523] learning_rate: 0.002206 loss_vfl: 0.684892 loss_bbox: 0.266629 loss_dfl: 0.180655 loss: 1.136191 eta: 4:51:53 batch_cost: 2.3626 data_cost: 0.0014 ips: 23.7026 images/s [10/18 07:37:02] ppdet.engine INFO: Epoch: [285] [440/523] learning_rate: 0.002194 loss_vfl: 0.699554 loss_bbox: 0.243767 loss_dfl: 0.169127 loss: 1.119944 eta: 4:51:06 batch_cost: 2.3419 data_cost: 0.0014 ips: 23.9120 images/s [10/18 07:37:52] ppdet.engine INFO: Epoch: [285] [460/523] learning_rate: 0.002183 loss_vfl: 0.697351 loss_bbox: 0.258061 loss_dfl: 0.177925 loss: 1.147094 eta: 4:50:19 batch_cost: 2.3975 data_cost: 0.0014 ips: 23.3581 images/s [10/18 07:38:43] ppdet.engine INFO: Epoch: [285] [480/523] learning_rate: 0.002171 loss_vfl: 0.691457 loss_bbox: 0.251342 loss_dfl: 0.175706 loss: 1.136681 eta: 4:49:31 batch_cost: 2.4342 data_cost: 0.0013 ips: 23.0054 images/s [10/18 07:39:33] ppdet.engine INFO: Epoch: [285] [500/523] learning_rate: 0.002159 loss_vfl: 0.683490 loss_bbox: 0.241648 loss_dfl: 0.173191 loss: 1.109670 eta: 4:48:44 batch_cost: 2.3804 data_cost: 0.0018 ips: 23.5255 images/s [10/18 07:40:18] ppdet.engine INFO: Epoch: [285] [520/523] learning_rate: 0.002147 loss_vfl: 0.695876 loss_bbox: 0.246586 loss_dfl: 0.175376 loss: 1.121539 eta: 4:47:57 batch_cost: 2.1501 data_cost: 0.0012 ips: 26.0448 images/s [10/18 07:40:47] ppdet.engine INFO: Epoch: [286] [ 0/523] learning_rate: 0.002146 loss_vfl: 0.695876 loss_bbox: 0.238894 loss_dfl: 0.172031 loss: 1.116860 eta: 4:47:51 batch_cost: 3.0267 data_cost: 0.3906 ips: 18.5020 images/s [10/18 07:41:40] ppdet.engine INFO: Epoch: [286] [ 20/523] learning_rate: 0.002134 loss_vfl: 0.685171 loss_bbox: 0.239387 loss_dfl: 0.178686 loss: 1.097986 eta: 4:47:04 batch_cost: 2.4675 data_cost: 0.0014 ips: 22.6952 images/s [10/18 07:42:30] ppdet.engine INFO: Epoch: [286] [ 40/523] learning_rate: 0.002122 loss_vfl: 0.688698 loss_bbox: 0.261615 loss_dfl: 0.179385 loss: 1.117521 eta: 4:46:17 batch_cost: 2.4216 data_cost: 0.0013 ips: 23.1249 images/s [10/18 07:43:21] ppdet.engine INFO: Epoch: [286] [ 60/523] learning_rate: 0.002111 loss_vfl: 0.696203 loss_bbox: 0.257833 loss_dfl: 0.181059 loss: 1.122498 eta: 4:45:29 batch_cost: 2.4015 data_cost: 0.0013 ips: 23.3190 images/s [10/18 07:44:11] ppdet.engine INFO: Epoch: [286] [ 80/523] learning_rate: 0.002099 loss_vfl: 0.682557 loss_bbox: 0.248805 loss_dfl: 0.173975 loss: 1.094412 eta: 4:44:42 batch_cost: 2.4124 data_cost: 0.0013 ips: 23.2131 images/s [10/18 07:45:01] ppdet.engine INFO: Epoch: [286] [100/523] learning_rate: 0.002087 loss_vfl: 0.689751 loss_bbox: 0.265245 loss_dfl: 0.181523 loss: 1.129762 eta: 4:43:55 batch_cost: 2.3994 data_cost: 0.0032 ips: 23.3387 images/s [10/18 07:45:50] ppdet.engine INFO: Epoch: [286] [120/523] learning_rate: 0.002076 loss_vfl: 0.672760 loss_bbox: 0.247508 loss_dfl: 0.174849 loss: 1.098860 eta: 4:43:08 batch_cost: 2.3118 data_cost: 0.0013 ips: 24.2231 images/s [10/18 07:46:39] ppdet.engine INFO: Epoch: [286] [140/523] learning_rate: 0.002064 loss_vfl: 0.683074 loss_bbox: 0.262678 loss_dfl: 0.182257 loss: 1.120399 eta: 4:42:21 batch_cost: 2.3414 data_cost: 0.0016 ips: 23.9178 images/s [10/18 07:47:28] ppdet.engine INFO: Epoch: [286] [160/523] learning_rate: 0.002053 loss_vfl: 0.676609 loss_bbox: 0.241394 loss_dfl: 0.168105 loss: 1.098257 eta: 4:41:34 batch_cost: 2.3783 data_cost: 0.0020 ips: 23.5464 images/s [10/18 07:48:17] ppdet.engine INFO: Epoch: [286] [180/523] learning_rate: 0.002042 loss_vfl: 0.681324 loss_bbox: 0.259758 loss_dfl: 0.179165 loss: 1.114493 eta: 4:40:46 batch_cost: 2.3420 data_cost: 0.0013 ips: 23.9108 images/s [10/18 07:49:08] ppdet.engine INFO: Epoch: [286] [200/523] learning_rate: 0.002030 loss_vfl: 0.668566 loss_bbox: 0.254943 loss_dfl: 0.174628 loss: 1.096491 eta: 4:39:59 batch_cost: 2.4054 data_cost: 0.0023 ips: 23.2810 images/s [10/18 07:49:56] ppdet.engine INFO: Epoch: [286] [220/523] learning_rate: 0.002019 loss_vfl: 0.676020 loss_bbox: 0.267707 loss_dfl: 0.195533 loss: 1.141914 eta: 4:39:12 batch_cost: 2.3111 data_cost: 0.0013 ips: 24.2306 images/s [10/18 07:50:46] ppdet.engine INFO: Epoch: [286] [240/523] learning_rate: 0.002007 loss_vfl: 0.697661 loss_bbox: 0.252670 loss_dfl: 0.178617 loss: 1.139733 eta: 4:38:25 batch_cost: 2.4073 data_cost: 0.0026 ips: 23.2622 images/s [10/18 07:51:36] ppdet.engine INFO: Epoch: [286] [260/523] learning_rate: 0.001996 loss_vfl: 0.693802 loss_bbox: 0.242198 loss_dfl: 0.173584 loss: 1.100130 eta: 4:37:38 batch_cost: 2.3626 data_cost: 0.0013 ips: 23.7025 images/s [10/18 07:52:24] ppdet.engine INFO: Epoch: [286] [280/523] learning_rate: 0.001985 loss_vfl: 0.672377 loss_bbox: 0.263192 loss_dfl: 0.179079 loss: 1.114372 eta: 4:36:50 batch_cost: 2.2749 data_cost: 0.0013 ips: 24.6162 images/s [10/18 07:53:13] ppdet.engine INFO: Epoch: [286] [300/523] learning_rate: 0.001974 loss_vfl: 0.672438 loss_bbox: 0.249558 loss_dfl: 0.177611 loss: 1.116505 eta: 4:36:03 batch_cost: 2.3131 data_cost: 0.0013 ips: 24.2104 images/s [10/18 07:54:01] ppdet.engine INFO: Epoch: [286] [320/523] learning_rate: 0.001962 loss_vfl: 0.675492 loss_bbox: 0.241571 loss_dfl: 0.177384 loss: 1.074722 eta: 4:35:16 batch_cost: 2.3061 data_cost: 0.0013 ips: 24.2831 images/s [10/18 07:54:51] ppdet.engine INFO: Epoch: [286] [340/523] learning_rate: 0.001951 loss_vfl: 0.698632 loss_bbox: 0.255596 loss_dfl: 0.175583 loss: 1.128712 eta: 4:34:29 batch_cost: 2.3946 data_cost: 0.0013 ips: 23.3858 images/s [10/18 07:55:42] ppdet.engine INFO: Epoch: [286] [360/523] learning_rate: 0.001940 loss_vfl: 0.701812 loss_bbox: 0.246926 loss_dfl: 0.172560 loss: 1.121883 eta: 4:33:42 batch_cost: 2.4387 data_cost: 0.0013 ips: 22.9631 images/s [10/18 07:56:31] ppdet.engine INFO: Epoch: [286] [380/523] learning_rate: 0.001929 loss_vfl: 0.676644 loss_bbox: 0.255914 loss_dfl: 0.178729 loss: 1.114853 eta: 4:32:55 batch_cost: 2.3762 data_cost: 0.0014 ips: 23.5670 images/s [10/18 07:57:21] ppdet.engine INFO: Epoch: [286] [400/523] learning_rate: 0.001918 loss_vfl: 0.683877 loss_bbox: 0.255047 loss_dfl: 0.181435 loss: 1.125237 eta: 4:32:07 batch_cost: 2.3503 data_cost: 0.0014 ips: 23.8265 images/s [10/18 07:58:09] ppdet.engine INFO: Epoch: [286] [420/523] learning_rate: 0.001907 loss_vfl: 0.684348 loss_bbox: 0.231002 loss_dfl: 0.174789 loss: 1.091090 eta: 4:31:20 batch_cost: 2.3038 data_cost: 0.0014 ips: 24.3078 images/s [10/18 07:58:58] ppdet.engine INFO: Epoch: [286] [440/523] learning_rate: 0.001896 loss_vfl: 0.685014 loss_bbox: 0.241693 loss_dfl: 0.168993 loss: 1.080478 eta: 4:30:33 batch_cost: 2.3307 data_cost: 0.0014 ips: 24.0267 images/s [10/18 07:59:48] ppdet.engine INFO: Epoch: [286] [460/523] learning_rate: 0.001885 loss_vfl: 0.685703 loss_bbox: 0.248393 loss_dfl: 0.180985 loss: 1.099622 eta: 4:29:46 batch_cost: 2.3766 data_cost: 0.0013 ips: 23.5632 images/s [10/18 08:00:37] ppdet.engine INFO: Epoch: [286] [480/523] learning_rate: 0.001874 loss_vfl: 0.685911 loss_bbox: 0.252778 loss_dfl: 0.181052 loss: 1.132898 eta: 4:28:59 batch_cost: 2.3119 data_cost: 0.0013 ips: 24.2222 images/s [10/18 08:01:27] ppdet.engine INFO: Epoch: [286] [500/523] learning_rate: 0.001863 loss_vfl: 0.684377 loss_bbox: 0.240852 loss_dfl: 0.175952 loss: 1.122893 eta: 4:28:11 batch_cost: 2.3865 data_cost: 0.0012 ips: 23.4655 images/s [10/18 08:02:11] ppdet.engine INFO: Epoch: [286] 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0.186154 loss: 1.128328 eta: 4:24:56 batch_cost: 2.4393 data_cost: 0.0015 ips: 22.9572 images/s [10/18 08:06:06] ppdet.engine INFO: Epoch: [287] [ 80/523] learning_rate: 0.001807 loss_vfl: 0.693695 loss_bbox: 0.265525 loss_dfl: 0.180579 loss: 1.123501 eta: 4:24:09 batch_cost: 2.5182 data_cost: 0.0019 ips: 22.2383 images/s [10/18 08:06:55] ppdet.engine INFO: Epoch: [287] [100/523] learning_rate: 0.001796 loss_vfl: 0.688847 loss_bbox: 0.260684 loss_dfl: 0.178353 loss: 1.116121 eta: 4:23:22 batch_cost: 2.3774 data_cost: 0.0013 ips: 23.5553 images/s [10/18 08:07:44] ppdet.engine INFO: Epoch: [287] [120/523] learning_rate: 0.001786 loss_vfl: 0.676494 loss_bbox: 0.243453 loss_dfl: 0.178799 loss: 1.094255 eta: 4:22:35 batch_cost: 2.3225 data_cost: 0.0022 ips: 24.1119 images/s [10/18 08:08:33] ppdet.engine INFO: Epoch: [287] [140/523] learning_rate: 0.001775 loss_vfl: 0.680382 loss_bbox: 0.242320 loss_dfl: 0.176732 loss: 1.106720 eta: 4:21:48 batch_cost: 2.3458 data_cost: 0.0026 ips: 23.8728 images/s [10/18 08:09:23] ppdet.engine INFO: Epoch: [287] [160/523] learning_rate: 0.001764 loss_vfl: 0.674508 loss_bbox: 0.241657 loss_dfl: 0.167555 loss: 1.080909 eta: 4:21:01 batch_cost: 2.3774 data_cost: 0.0013 ips: 23.5553 images/s [10/18 08:10:11] ppdet.engine INFO: Epoch: [287] [180/523] learning_rate: 0.001754 loss_vfl: 0.700886 loss_bbox: 0.255448 loss_dfl: 0.172559 loss: 1.117053 eta: 4:20:13 batch_cost: 2.2987 data_cost: 0.0013 ips: 24.3614 images/s [10/18 08:11:02] ppdet.engine INFO: Epoch: [287] [200/523] learning_rate: 0.001743 loss_vfl: 0.676562 loss_bbox: 0.266763 loss_dfl: 0.187450 loss: 1.141262 eta: 4:19:26 batch_cost: 2.4370 data_cost: 0.0013 ips: 22.9790 images/s [10/18 08:11:53] ppdet.engine INFO: Epoch: [287] [220/523] learning_rate: 0.001733 loss_vfl: 0.677851 loss_bbox: 0.268216 loss_dfl: 0.183279 loss: 1.139141 eta: 4:18:39 batch_cost: 2.4533 data_cost: 0.0019 ips: 22.8264 images/s [10/18 08:12:44] ppdet.engine INFO: Epoch: [287] [240/523] learning_rate: 0.001722 loss_vfl: 0.673523 loss_bbox: 0.238002 loss_dfl: 0.174609 loss: 1.100344 eta: 4:17:52 batch_cost: 2.4203 data_cost: 0.0015 ips: 23.1375 images/s [10/18 08:13:33] ppdet.engine INFO: Epoch: [287] [260/523] learning_rate: 0.001712 loss_vfl: 0.678519 loss_bbox: 0.262617 loss_dfl: 0.176452 loss: 1.104827 eta: 4:17:05 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7101 images/s [10/18 08:14:24] ppdet.engine INFO: Epoch: [287] [280/523] learning_rate: 0.001701 loss_vfl: 0.667146 loss_bbox: 0.251236 loss_dfl: 0.182794 loss: 1.107895 eta: 4:16:18 batch_cost: 2.4172 data_cost: 0.0014 ips: 23.1675 images/s [10/18 08:15:15] ppdet.engine INFO: Epoch: [287] [300/523] learning_rate: 0.001691 loss_vfl: 0.684895 loss_bbox: 0.245544 loss_dfl: 0.174392 loss: 1.100670 eta: 4:15:31 batch_cost: 2.4419 data_cost: 0.0014 ips: 22.9332 images/s [10/18 08:16:04] ppdet.engine INFO: Epoch: [287] [320/523] learning_rate: 0.001681 loss_vfl: 0.674026 loss_bbox: 0.249735 loss_dfl: 0.171377 loss: 1.094214 eta: 4:14:44 batch_cost: 2.3353 data_cost: 0.0029 ips: 23.9800 images/s [10/18 08:16:53] ppdet.engine INFO: Epoch: [287] [340/523] learning_rate: 0.001670 loss_vfl: 0.695679 loss_bbox: 0.241779 loss_dfl: 0.169845 loss: 1.110404 eta: 4:13:56 batch_cost: 2.3483 data_cost: 0.0014 ips: 23.8468 images/s [10/18 08:17:44] ppdet.engine INFO: Epoch: [287] [360/523] learning_rate: 0.001660 loss_vfl: 0.677804 loss_bbox: 0.261053 loss_dfl: 0.179922 loss: 1.127627 eta: 4:13:09 batch_cost: 2.4257 data_cost: 0.0029 ips: 23.0864 images/s [10/18 08:18:34] ppdet.engine INFO: Epoch: [287] [380/523] learning_rate: 0.001650 loss_vfl: 0.692805 loss_bbox: 0.247366 loss_dfl: 0.179123 loss: 1.116612 eta: 4:12:22 batch_cost: 2.4056 data_cost: 0.0023 ips: 23.2785 images/s [10/18 08:19:25] ppdet.engine INFO: Epoch: [287] [400/523] learning_rate: 0.001639 loss_vfl: 0.680106 loss_bbox: 0.257373 loss_dfl: 0.176867 loss: 1.123991 eta: 4:11:35 batch_cost: 2.4229 data_cost: 0.0014 ips: 23.1123 images/s [10/18 08:20:15] ppdet.engine INFO: Epoch: [287] [420/523] learning_rate: 0.001629 loss_vfl: 0.656424 loss_bbox: 0.255971 loss_dfl: 0.185414 loss: 1.131672 eta: 4:10:48 batch_cost: 2.4208 data_cost: 0.0016 ips: 23.1328 images/s [10/18 08:21:05] ppdet.engine INFO: Epoch: [287] [440/523] learning_rate: 0.001619 loss_vfl: 0.688833 loss_bbox: 0.247857 loss_dfl: 0.180142 loss: 1.110520 eta: 4:10:01 batch_cost: 2.3795 data_cost: 0.0016 ips: 23.5346 images/s [10/18 08:21:55] ppdet.engine INFO: Epoch: [287] [460/523] learning_rate: 0.001609 loss_vfl: 0.696090 loss_bbox: 0.261943 loss_dfl: 0.184292 loss: 1.142107 eta: 4:09:13 batch_cost: 2.3923 data_cost: 0.0027 ips: 23.4081 images/s [10/18 08:22:46] ppdet.engine INFO: Epoch: [287] [480/523] learning_rate: 0.001599 loss_vfl: 0.700941 loss_bbox: 0.251333 loss_dfl: 0.181369 loss: 1.113302 eta: 4:08:26 batch_cost: 2.4092 data_cost: 0.0013 ips: 23.2445 images/s [10/18 08:23:35] ppdet.engine INFO: Epoch: [287] [500/523] learning_rate: 0.001589 loss_vfl: 0.696789 loss_bbox: 0.250511 loss_dfl: 0.175722 loss: 1.104410 eta: 4:07:39 batch_cost: 2.3487 data_cost: 0.0012 ips: 23.8434 images/s [10/18 08:24:19] ppdet.engine INFO: Epoch: [287] [520/523] learning_rate: 0.001579 loss_vfl: 0.678264 loss_bbox: 0.248962 loss_dfl: 0.172774 loss: 1.115625 eta: 4:06:52 batch_cost: 2.1288 data_cost: 0.0013 ips: 26.3064 images/s [10/18 08:24:50] ppdet.engine INFO: Epoch: [288] [ 0/523] learning_rate: 0.001577 loss_vfl: 0.685450 loss_bbox: 0.245402 loss_dfl: 0.168523 loss: 1.102590 eta: 4:06:45 batch_cost: 3.0475 data_cost: 0.5234 ips: 18.3757 images/s [10/18 08:25:42] ppdet.engine INFO: Epoch: [288] [ 20/523] learning_rate: 0.001567 loss_vfl: 0.678283 loss_bbox: 0.250361 loss_dfl: 0.178768 loss: 1.113200 eta: 4:05:58 batch_cost: 2.4934 data_cost: 0.0017 ips: 22.4592 images/s [10/18 08:26:30] ppdet.engine INFO: Epoch: [288] [ 40/523] learning_rate: 0.001557 loss_vfl: 0.678253 loss_bbox: 0.252272 loss_dfl: 0.175635 loss: 1.112889 eta: 4:05:11 batch_cost: 2.2940 data_cost: 0.0013 ips: 24.4113 images/s [10/18 08:27:19] ppdet.engine INFO: Epoch: [288] [ 60/523] learning_rate: 0.001547 loss_vfl: 0.697190 loss_bbox: 0.244228 loss_dfl: 0.177437 loss: 1.122015 eta: 4:04:24 batch_cost: 2.3669 data_cost: 0.0014 ips: 23.6601 images/s [10/18 08:28:10] ppdet.engine INFO: Epoch: [288] [ 80/523] learning_rate: 0.001537 loss_vfl: 0.687635 loss_bbox: 0.248402 loss_dfl: 0.171665 loss: 1.097602 eta: 4:03:37 batch_cost: 2.3969 data_cost: 0.0059 ips: 23.3639 images/s [10/18 08:29:01] ppdet.engine INFO: Epoch: [288] [100/523] learning_rate: 0.001527 loss_vfl: 0.680959 loss_bbox: 0.257159 loss_dfl: 0.173474 loss: 1.149956 eta: 4:02:50 batch_cost: 2.4348 data_cost: 0.0028 ips: 23.0000 images/s [10/18 08:29:50] ppdet.engine INFO: Epoch: [288] [120/523] learning_rate: 0.001517 loss_vfl: 0.684561 loss_bbox: 0.255290 loss_dfl: 0.173867 loss: 1.123612 eta: 4:02:03 batch_cost: 2.3515 data_cost: 0.0013 ips: 23.8149 images/s [10/18 08:30:40] ppdet.engine INFO: Epoch: [288] [140/523] learning_rate: 0.001508 loss_vfl: 0.668112 loss_bbox: 0.237467 loss_dfl: 0.171728 loss: 1.085728 eta: 4:01:15 batch_cost: 2.3500 data_cost: 0.0014 ips: 23.8300 images/s [10/18 08:31:28] ppdet.engine INFO: Epoch: [288] [160/523] learning_rate: 0.001498 loss_vfl: 0.674468 loss_bbox: 0.248900 loss_dfl: 0.182496 loss: 1.116904 eta: 4:00:28 batch_cost: 2.3214 data_cost: 0.0019 ips: 24.1235 images/s [10/18 08:32:18] ppdet.engine INFO: Epoch: [288] [180/523] learning_rate: 0.001488 loss_vfl: 0.677262 loss_bbox: 0.245840 loss_dfl: 0.170425 loss: 1.095623 eta: 3:59:41 batch_cost: 2.3815 data_cost: 0.0014 ips: 23.5149 images/s [10/18 08:33:08] ppdet.engine INFO: Epoch: [288] [200/523] learning_rate: 0.001478 loss_vfl: 0.683465 loss_bbox: 0.250904 loss_dfl: 0.180103 loss: 1.124098 eta: 3:58:54 batch_cost: 2.4144 data_cost: 0.0015 ips: 23.1946 images/s [10/18 08:33:59] ppdet.engine INFO: Epoch: [288] [220/523] learning_rate: 0.001469 loss_vfl: 0.694996 loss_bbox: 0.247093 loss_dfl: 0.174166 loss: 1.116495 eta: 3:58:07 batch_cost: 2.3737 data_cost: 0.0016 ips: 23.5918 images/s [10/18 08:34:47] ppdet.engine INFO: Epoch: [288] [240/523] learning_rate: 0.001459 loss_vfl: 0.690424 loss_bbox: 0.253378 loss_dfl: 0.175022 loss: 1.115157 eta: 3:57:19 batch_cost: 2.3331 data_cost: 0.0025 ips: 24.0029 images/s [10/18 08:35:36] ppdet.engine INFO: Epoch: [288] [260/523] learning_rate: 0.001449 loss_vfl: 0.688119 loss_bbox: 0.253920 loss_dfl: 0.179555 loss: 1.116954 eta: 3:56:32 batch_cost: 2.3308 data_cost: 0.0013 ips: 24.0265 images/s [10/18 08:36:26] ppdet.engine INFO: Epoch: [288] [280/523] learning_rate: 0.001440 loss_vfl: 0.671374 loss_bbox: 0.253351 loss_dfl: 0.178160 loss: 1.121741 eta: 3:55:45 batch_cost: 2.3618 data_cost: 0.0013 ips: 23.7104 images/s [10/18 08:37:15] ppdet.engine INFO: Epoch: [288] [300/523] learning_rate: 0.001430 loss_vfl: 0.686909 loss_bbox: 0.247962 loss_dfl: 0.174474 loss: 1.100039 eta: 3:54:58 batch_cost: 2.3856 data_cost: 0.0019 ips: 23.4737 images/s [10/18 08:38:05] ppdet.engine INFO: Epoch: [288] [320/523] learning_rate: 0.001421 loss_vfl: 0.680079 loss_bbox: 0.235158 loss_dfl: 0.173932 loss: 1.094501 eta: 3:54:11 batch_cost: 2.3517 data_cost: 0.0014 ips: 23.8130 images/s [10/18 08:38:54] ppdet.engine INFO: Epoch: [288] [340/523] learning_rate: 0.001411 loss_vfl: 0.689852 loss_bbox: 0.252364 loss_dfl: 0.181343 loss: 1.121661 eta: 3:53:24 batch_cost: 2.3805 data_cost: 0.0013 ips: 23.5240 images/s [10/18 08:39:45] ppdet.engine INFO: Epoch: [288] [360/523] learning_rate: 0.001402 loss_vfl: 0.681543 loss_bbox: 0.262180 loss_dfl: 0.176975 loss: 1.128084 eta: 3:52:36 batch_cost: 2.3988 data_cost: 0.0015 ips: 23.3448 images/s [10/18 08:40:36] ppdet.engine INFO: Epoch: [288] [380/523] learning_rate: 0.001392 loss_vfl: 0.676566 loss_bbox: 0.238947 loss_dfl: 0.170696 loss: 1.095898 eta: 3:51:49 batch_cost: 2.4360 data_cost: 0.0037 ips: 22.9883 images/s [10/18 08:41:27] ppdet.engine INFO: Epoch: [288] [400/523] learning_rate: 0.001383 loss_vfl: 0.675208 loss_bbox: 0.254277 loss_dfl: 0.175455 loss: 1.128198 eta: 3:51:02 batch_cost: 2.4351 data_cost: 0.0027 ips: 22.9972 images/s [10/18 08:42:17] ppdet.engine INFO: Epoch: [288] [420/523] learning_rate: 0.001373 loss_vfl: 0.674208 loss_bbox: 0.241726 loss_dfl: 0.174150 loss: 1.094986 eta: 3:50:15 batch_cost: 2.3905 data_cost: 0.0013 ips: 23.4264 images/s [10/18 08:43:06] ppdet.engine INFO: Epoch: [288] [440/523] learning_rate: 0.001364 loss_vfl: 0.671510 loss_bbox: 0.258707 loss_dfl: 0.183028 loss: 1.118921 eta: 3:49:28 batch_cost: 2.3536 data_cost: 0.0014 ips: 23.7929 images/s [10/18 08:43:54] ppdet.engine INFO: Epoch: [288] [460/523] learning_rate: 0.001355 loss_vfl: 0.676426 loss_bbox: 0.264170 loss_dfl: 0.180068 loss: 1.126482 eta: 3:48:41 batch_cost: 2.2876 data_cost: 0.0027 ips: 24.4802 images/s [10/18 08:44:44] ppdet.engine INFO: Epoch: [288] [480/523] learning_rate: 0.001345 loss_vfl: 0.671263 loss_bbox: 0.249859 loss_dfl: 0.174114 loss: 1.106326 eta: 3:47:53 batch_cost: 2.3803 data_cost: 0.0013 ips: 23.5262 images/s [10/18 08:45:35] ppdet.engine INFO: Epoch: [288] [500/523] learning_rate: 0.001336 loss_vfl: 0.678454 loss_bbox: 0.234083 loss_dfl: 0.169193 loss: 1.096829 eta: 3:47:06 batch_cost: 2.4134 data_cost: 0.0020 ips: 23.2040 images/s [10/18 08:46:18] ppdet.engine INFO: Epoch: [288] [520/523] learning_rate: 0.001327 loss_vfl: 0.679007 loss_bbox: 0.255639 loss_dfl: 0.178952 loss: 1.106780 eta: 3:46:19 batch_cost: 2.0483 data_cost: 0.0012 ips: 27.3396 images/s [10/18 08:46:46] ppdet.engine INFO: Epoch: [289] [ 0/523] learning_rate: 0.001325 loss_vfl: 0.683698 loss_bbox: 0.257622 loss_dfl: 0.177514 loss: 1.115282 eta: 3:46:12 batch_cost: 2.8874 data_cost: 0.3895 ips: 19.3948 images/s [10/18 08:47:41] ppdet.engine INFO: Epoch: [289] [ 20/523] learning_rate: 0.001316 loss_vfl: 0.679433 loss_bbox: 0.254110 loss_dfl: 0.175732 loss: 1.089762 eta: 3:45:25 batch_cost: 2.6446 data_cost: 0.0020 ips: 21.1752 images/s [10/18 08:48:32] ppdet.engine INFO: Epoch: [289] [ 40/523] learning_rate: 0.001307 loss_vfl: 0.684074 loss_bbox: 0.253958 loss_dfl: 0.171734 loss: 1.122292 eta: 3:44:38 batch_cost: 2.4107 data_cost: 0.0027 ips: 23.2299 images/s [10/18 08:49:21] ppdet.engine INFO: Epoch: [289] [ 60/523] learning_rate: 0.001298 loss_vfl: 0.683417 loss_bbox: 0.237948 loss_dfl: 0.170791 loss: 1.106911 eta: 3:43:51 batch_cost: 2.3792 data_cost: 0.0013 ips: 23.5376 images/s [10/18 08:50:11] ppdet.engine INFO: Epoch: [289] [ 80/523] learning_rate: 0.001289 loss_vfl: 0.685180 loss_bbox: 0.270549 loss_dfl: 0.181454 loss: 1.134104 eta: 3:43:04 batch_cost: 2.3670 data_cost: 0.0034 ips: 23.6582 images/s [10/18 08:51:01] ppdet.engine INFO: Epoch: [289] [100/523] learning_rate: 0.001280 loss_vfl: 0.679905 loss_bbox: 0.246349 loss_dfl: 0.174166 loss: 1.103968 eta: 3:42:17 batch_cost: 2.3552 data_cost: 0.0027 ips: 23.7770 images/s [10/18 08:51:50] ppdet.engine INFO: Epoch: [289] [120/523] learning_rate: 0.001271 loss_vfl: 0.679453 loss_bbox: 0.244132 loss_dfl: 0.171575 loss: 1.086829 eta: 3:41:30 batch_cost: 2.3827 data_cost: 0.0014 ips: 23.5026 images/s [10/18 08:52:41] ppdet.engine INFO: Epoch: [289] [140/523] learning_rate: 0.001262 loss_vfl: 0.673473 loss_bbox: 0.240131 loss_dfl: 0.173865 loss: 1.096104 eta: 3:40:42 batch_cost: 2.4037 data_cost: 0.0013 ips: 23.2973 images/s [10/18 08:53:30] ppdet.engine INFO: Epoch: [289] [160/523] learning_rate: 0.001253 loss_vfl: 0.682052 loss_bbox: 0.251930 loss_dfl: 0.179717 loss: 1.112189 eta: 3:39:55 batch_cost: 2.3854 data_cost: 0.0014 ips: 23.4766 images/s [10/18 08:54:21] ppdet.engine INFO: Epoch: [289] [180/523] learning_rate: 0.001244 loss_vfl: 0.666416 loss_bbox: 0.246799 loss_dfl: 0.170085 loss: 1.093830 eta: 3:39:08 batch_cost: 2.4045 data_cost: 0.0029 ips: 23.2893 images/s [10/18 08:55:11] ppdet.engine INFO: Epoch: [289] [200/523] learning_rate: 0.001235 loss_vfl: 0.678235 loss_bbox: 0.242840 loss_dfl: 0.170160 loss: 1.103597 eta: 3:38:21 batch_cost: 2.4123 data_cost: 0.0014 ips: 23.2139 images/s [10/18 08:56:01] ppdet.engine INFO: Epoch: [289] [220/523] learning_rate: 0.001226 loss_vfl: 0.670393 loss_bbox: 0.236836 loss_dfl: 0.178035 loss: 1.080431 eta: 3:37:34 batch_cost: 2.4041 data_cost: 0.0022 ips: 23.2940 images/s [10/18 08:56:52] ppdet.engine INFO: Epoch: [289] [240/523] learning_rate: 0.001217 loss_vfl: 0.685993 loss_bbox: 0.250471 loss_dfl: 0.173523 loss: 1.133703 eta: 3:36:47 batch_cost: 2.4088 data_cost: 0.0014 ips: 23.2481 images/s [10/18 08:57:41] ppdet.engine INFO: Epoch: [289] [260/523] learning_rate: 0.001208 loss_vfl: 0.689234 loss_bbox: 0.240342 loss_dfl: 0.168686 loss: 1.097222 eta: 3:35:59 batch_cost: 2.3401 data_cost: 0.0014 ips: 23.9310 images/s [10/18 08:58:31] ppdet.engine INFO: Epoch: [289] [280/523] learning_rate: 0.001200 loss_vfl: 0.683853 loss_bbox: 0.248916 loss_dfl: 0.177059 loss: 1.139676 eta: 3:35:12 batch_cost: 2.3984 data_cost: 0.0016 ips: 23.3485 images/s [10/18 08:59:23] ppdet.engine INFO: Epoch: [289] [300/523] learning_rate: 0.001191 loss_vfl: 0.666781 loss_bbox: 0.242990 loss_dfl: 0.175233 loss: 1.093605 eta: 3:34:25 batch_cost: 2.4803 data_cost: 0.0013 ips: 22.5780 images/s [10/18 09:00:14] ppdet.engine INFO: Epoch: [289] [320/523] learning_rate: 0.001182 loss_vfl: 0.680755 loss_bbox: 0.237765 loss_dfl: 0.173135 loss: 1.084894 eta: 3:33:38 batch_cost: 2.4261 data_cost: 0.0016 ips: 23.0824 images/s [10/18 09:01:04] ppdet.engine INFO: Epoch: [289] [340/523] learning_rate: 0.001174 loss_vfl: 0.682436 loss_bbox: 0.259107 loss_dfl: 0.178681 loss: 1.116154 eta: 3:32:51 batch_cost: 2.3782 data_cost: 0.0014 ips: 23.5474 images/s [10/18 09:01:52] ppdet.engine INFO: Epoch: [289] [360/523] learning_rate: 0.001165 loss_vfl: 0.681924 loss_bbox: 0.246414 loss_dfl: 0.169662 loss: 1.108409 eta: 3:32:04 batch_cost: 2.3286 data_cost: 0.0013 ips: 24.0488 images/s [10/18 09:02:42] ppdet.engine INFO: Epoch: [289] [380/523] learning_rate: 0.001156 loss_vfl: 0.686058 loss_bbox: 0.254817 loss_dfl: 0.177596 loss: 1.122412 eta: 3:31:16 batch_cost: 2.3507 data_cost: 0.0015 ips: 23.8225 images/s [10/18 09:03:32] ppdet.engine INFO: Epoch: [289] [400/523] learning_rate: 0.001148 loss_vfl: 0.698607 loss_bbox: 0.258744 loss_dfl: 0.179591 loss: 1.114083 eta: 3:30:29 batch_cost: 2.4012 data_cost: 0.0018 ips: 23.3213 images/s [10/18 09:04:22] ppdet.engine INFO: Epoch: [289] [420/523] learning_rate: 0.001139 loss_vfl: 0.684425 loss_bbox: 0.244016 loss_dfl: 0.177403 loss: 1.095228 eta: 3:29:42 batch_cost: 2.3876 data_cost: 0.0015 ips: 23.4540 images/s [10/18 09:05:12] ppdet.engine INFO: Epoch: [289] [440/523] learning_rate: 0.001131 loss_vfl: 0.690593 loss_bbox: 0.252287 loss_dfl: 0.180406 loss: 1.111737 eta: 3:28:55 batch_cost: 2.3903 data_cost: 0.0013 ips: 23.4282 images/s [10/18 09:06:02] ppdet.engine INFO: Epoch: [289] [460/523] learning_rate: 0.001122 loss_vfl: 0.685641 loss_bbox: 0.245355 loss_dfl: 0.173945 loss: 1.097934 eta: 3:28:08 batch_cost: 2.4074 data_cost: 0.0021 ips: 23.2615 images/s [10/18 09:06:52] ppdet.engine INFO: Epoch: [289] [480/523] learning_rate: 0.001114 loss_vfl: 0.677586 loss_bbox: 0.258915 loss_dfl: 0.183806 loss: 1.130134 eta: 3:27:21 batch_cost: 2.3828 data_cost: 0.0027 ips: 23.5014 images/s [10/18 09:07:42] ppdet.engine INFO: Epoch: [289] [500/523] learning_rate: 0.001105 loss_vfl: 0.703982 loss_bbox: 0.226587 loss_dfl: 0.160927 loss: 1.101306 eta: 3:26:33 batch_cost: 2.3710 data_cost: 0.0020 ips: 23.6186 images/s [10/18 09:08:27] ppdet.engine INFO: Epoch: [289] [520/523] learning_rate: 0.001097 loss_vfl: 0.695375 loss_bbox: 0.253383 loss_dfl: 0.182674 loss: 1.126015 eta: 3:25:46 batch_cost: 2.1510 data_cost: 0.0013 ips: 26.0341 images/s [10/18 09:08:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/18 09:08:37] ppdet.engine INFO: Eval iter: 0 [10/18 09:09:15] ppdet.engine INFO: Eval iter: 100 [10/18 09:09:35] ppdet.engine INFO: Eval iter: 200 [10/18 09:09:55] ppdet.engine INFO: Eval iter: 300 [10/18 09:10:14] ppdet.engine INFO: Eval iter: 400 [10/18 09:10:33] ppdet.engine INFO: Eval iter: 500 [10/18 09:10:53] ppdet.engine INFO: Eval iter: 600 [10/18 09:11:13] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/18 09:11:14] 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=99.39s). Accumulating evaluation results... DONE (t=18.48s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.356 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.516 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.376 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 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 ] = 0.560 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.302 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.241 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733 [10/18 09:13:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 34.91893916052633 [10/18 09:13:19] ppdet.engine INFO: Best test bbox ap is 0.363. [10/18 09:13:21] ppdet.engine INFO: Epoch: [290] [ 0/523] learning_rate: 0.001096 loss_vfl: 0.685117 loss_bbox: 0.248161 loss_dfl: 0.180608 loss: 1.121710 eta: 3:25:39 batch_cost: 2.0880 data_cost: 0.0014 ips: 26.8205 images/s [10/18 09:14:13] ppdet.engine INFO: Epoch: [290] [ 20/523] learning_rate: 0.001087 loss_vfl: 0.683966 loss_bbox: 0.257341 loss_dfl: 0.177730 loss: 1.125389 eta: 3:24:52 batch_cost: 2.4718 data_cost: 0.0018 ips: 22.6559 images/s [10/18 09:15:06] ppdet.engine INFO: Epoch: [290] [ 40/523] learning_rate: 0.001079 loss_vfl: 0.680682 loss_bbox: 0.251267 loss_dfl: 0.181217 loss: 1.114664 eta: 3:24:05 batch_cost: 2.4929 data_cost: 0.0016 ips: 22.4634 images/s [10/18 09:15:57] ppdet.engine INFO: Epoch: [290] [ 60/523] learning_rate: 0.001071 loss_vfl: 0.699921 loss_bbox: 0.251771 loss_dfl: 0.175434 loss: 1.119220 eta: 3:23:18 batch_cost: 2.4058 data_cost: 0.0032 ips: 23.2773 images/s [10/18 09:16:47] ppdet.engine INFO: Epoch: [290] [ 80/523] learning_rate: 0.001062 loss_vfl: 0.688058 loss_bbox: 0.250113 loss_dfl: 0.183801 loss: 1.122316 eta: 3:22:30 batch_cost: 2.4150 data_cost: 0.0017 ips: 23.1884 images/s [10/18 09:17:38] ppdet.engine INFO: Epoch: [290] [100/523] learning_rate: 0.001054 loss_vfl: 0.686816 loss_bbox: 0.237637 loss_dfl: 0.175230 loss: 1.094943 eta: 3:21:43 batch_cost: 2.4117 data_cost: 0.0021 ips: 23.2200 images/s [10/18 09:18:26] ppdet.engine INFO: Epoch: [290] [120/523] learning_rate: 0.001046 loss_vfl: 0.676898 loss_bbox: 0.261261 loss_dfl: 0.182299 loss: 1.134534 eta: 3:20:56 batch_cost: 2.3042 data_cost: 0.0014 ips: 24.3035 images/s [10/18 09:19:17] ppdet.engine INFO: Epoch: [290] [140/523] learning_rate: 0.001038 loss_vfl: 0.686124 loss_bbox: 0.254486 loss_dfl: 0.181895 loss: 1.114919 eta: 3:20:09 batch_cost: 2.4344 data_cost: 0.0028 ips: 23.0041 images/s [10/18 09:20:06] ppdet.engine INFO: Epoch: [290] [160/523] learning_rate: 0.001030 loss_vfl: 0.698033 loss_bbox: 0.262762 loss_dfl: 0.184792 loss: 1.138975 eta: 3:19:22 batch_cost: 2.3623 data_cost: 0.0013 ips: 23.7058 images/s [10/18 09:20:56] ppdet.engine INFO: Epoch: [290] [180/523] learning_rate: 0.001022 loss_vfl: 0.670339 loss_bbox: 0.231069 loss_dfl: 0.178019 loss: 1.083074 eta: 3:18:35 batch_cost: 2.3798 data_cost: 0.0013 ips: 23.5311 images/s [10/18 09:21:47] ppdet.engine INFO: Epoch: [290] [200/523] learning_rate: 0.001013 loss_vfl: 0.668873 loss_bbox: 0.255374 loss_dfl: 0.177322 loss: 1.109087 eta: 3:17:47 batch_cost: 2.4399 data_cost: 0.0013 ips: 22.9515 images/s [10/18 09:22:37] ppdet.engine INFO: Epoch: [290] [220/523] learning_rate: 0.001005 loss_vfl: 0.693349 loss_bbox: 0.247543 loss_dfl: 0.177334 loss: 1.124162 eta: 3:17:00 batch_cost: 2.4104 data_cost: 0.0023 ips: 23.2322 images/s [10/18 09:23:28] ppdet.engine INFO: Epoch: [290] [240/523] learning_rate: 0.000997 loss_vfl: 0.703002 loss_bbox: 0.250365 loss_dfl: 0.171983 loss: 1.107519 eta: 3:16:13 batch_cost: 2.4077 data_cost: 0.0024 ips: 23.2591 images/s [10/18 09:24:18] ppdet.engine INFO: Epoch: [290] [260/523] learning_rate: 0.000989 loss_vfl: 0.685436 loss_bbox: 0.273807 loss_dfl: 0.178241 loss: 1.125419 eta: 3:15:26 batch_cost: 2.4108 data_cost: 0.0014 ips: 23.2288 images/s [10/18 09:25:09] ppdet.engine INFO: Epoch: [290] [280/523] learning_rate: 0.000982 loss_vfl: 0.686545 loss_bbox: 0.262505 loss_dfl: 0.184162 loss: 1.133025 eta: 3:14:39 batch_cost: 2.4331 data_cost: 0.0014 ips: 23.0163 images/s [10/18 09:25:58] ppdet.engine INFO: Epoch: [290] [300/523] learning_rate: 0.000974 loss_vfl: 0.680932 loss_bbox: 0.269792 loss_dfl: 0.188298 loss: 1.118902 eta: 3:13:52 batch_cost: 2.3268 data_cost: 0.0013 ips: 24.0676 images/s [10/18 09:26:46] ppdet.engine INFO: Epoch: [290] [320/523] learning_rate: 0.000966 loss_vfl: 0.678420 loss_bbox: 0.265525 loss_dfl: 0.187682 loss: 1.118092 eta: 3:13:04 batch_cost: 2.2912 data_cost: 0.0014 ips: 24.4412 images/s [10/18 09:27:34] ppdet.engine INFO: Epoch: [290] [340/523] learning_rate: 0.000958 loss_vfl: 0.673166 loss_bbox: 0.250623 loss_dfl: 0.181875 loss: 1.114157 eta: 3:12:17 batch_cost: 2.2908 data_cost: 0.0019 ips: 24.4460 images/s [10/18 09:28:22] ppdet.engine INFO: Epoch: [290] [360/523] learning_rate: 0.000950 loss_vfl: 0.674057 loss_bbox: 0.248288 loss_dfl: 0.173715 loss: 1.092070 eta: 3:11:30 batch_cost: 2.2765 data_cost: 0.0025 ips: 24.5988 images/s [10/18 09:29:11] ppdet.engine INFO: Epoch: [290] [380/523] learning_rate: 0.000942 loss_vfl: 0.682528 loss_bbox: 0.263524 loss_dfl: 0.176527 loss: 1.134198 eta: 3:10:43 batch_cost: 2.3315 data_cost: 0.0014 ips: 24.0193 images/s [10/18 09:30:01] ppdet.engine INFO: Epoch: [290] [400/523] learning_rate: 0.000935 loss_vfl: 0.690668 loss_bbox: 0.250039 loss_dfl: 0.177635 loss: 1.116489 eta: 3:09:56 batch_cost: 2.3692 data_cost: 0.0013 ips: 23.6371 images/s [10/18 09:30:52] ppdet.engine INFO: Epoch: [290] [420/523] learning_rate: 0.000927 loss_vfl: 0.690978 loss_bbox: 0.269846 loss_dfl: 0.180287 loss: 1.138306 eta: 3:09:08 batch_cost: 2.4275 data_cost: 0.0019 ips: 23.0691 images/s [10/18 09:31:41] ppdet.engine INFO: Epoch: [290] [440/523] learning_rate: 0.000919 loss_vfl: 0.677438 loss_bbox: 0.258130 loss_dfl: 0.183674 loss: 1.126619 eta: 3:08:21 batch_cost: 2.3779 data_cost: 0.0013 ips: 23.5502 images/s [10/18 09:32:32] ppdet.engine INFO: Epoch: [290] [460/523] learning_rate: 0.000912 loss_vfl: 0.690201 loss_bbox: 0.249028 loss_dfl: 0.168739 loss: 1.095542 eta: 3:07:34 batch_cost: 2.4120 data_cost: 0.0013 ips: 23.2170 images/s [10/18 09:33:24] ppdet.engine INFO: Epoch: [290] [480/523] learning_rate: 0.000904 loss_vfl: 0.674643 loss_bbox: 0.246682 loss_dfl: 0.172875 loss: 1.115999 eta: 3:06:47 batch_cost: 2.4599 data_cost: 0.0015 ips: 22.7647 images/s [10/18 09:34:12] ppdet.engine INFO: Epoch: [290] [500/523] learning_rate: 0.000896 loss_vfl: 0.696320 loss_bbox: 0.247165 loss_dfl: 0.178830 loss: 1.132079 eta: 3:06:00 batch_cost: 2.3131 data_cost: 0.0014 ips: 24.2100 images/s [10/18 09:34:56] ppdet.engine INFO: Epoch: [290] [520/523] learning_rate: 0.000889 loss_vfl: 0.698622 loss_bbox: 0.269432 loss_dfl: 0.178443 loss: 1.136861 eta: 3:05:12 batch_cost: 2.0644 data_cost: 0.0014 ips: 27.1261 images/s [10/18 09:35:22] ppdet.engine INFO: Epoch: [291] [ 0/523] learning_rate: 0.000888 loss_vfl: 0.698680 loss_bbox: 0.269432 loss_dfl: 0.178443 loss: 1.136861 eta: 3:05:06 batch_cost: 2.8491 data_cost: 0.2766 ips: 19.6552 images/s [10/18 09:36:18] ppdet.engine INFO: Epoch: [291] [ 20/523] learning_rate: 0.000880 loss_vfl: 0.674272 loss_bbox: 0.252005 loss_dfl: 0.175553 loss: 1.116034 eta: 3:04:19 batch_cost: 2.7003 data_cost: 0.0015 ips: 20.7386 images/s [10/18 09:37:10] ppdet.engine INFO: Epoch: [291] [ 40/523] learning_rate: 0.000873 loss_vfl: 0.678836 loss_bbox: 0.255350 loss_dfl: 0.182247 loss: 1.120677 eta: 3:03:32 batch_cost: 2.4617 data_cost: 0.0020 ips: 22.7484 images/s [10/18 09:38:01] ppdet.engine INFO: Epoch: [291] [ 60/523] learning_rate: 0.000865 loss_vfl: 0.682003 loss_bbox: 0.272296 loss_dfl: 0.189081 loss: 1.128230 eta: 3:02:45 batch_cost: 2.4279 data_cost: 0.0018 ips: 23.0654 images/s [10/18 09:38:51] ppdet.engine INFO: Epoch: [291] [ 80/523] learning_rate: 0.000858 loss_vfl: 0.672979 loss_bbox: 0.268110 loss_dfl: 0.183609 loss: 1.140760 eta: 3:01:57 batch_cost: 2.3823 data_cost: 0.0029 ips: 23.5070 images/s [10/18 09:39:42] ppdet.engine INFO: Epoch: [291] [100/523] learning_rate: 0.000850 loss_vfl: 0.667145 loss_bbox: 0.236862 loss_dfl: 0.168518 loss: 1.064334 eta: 3:01:10 batch_cost: 2.4089 data_cost: 0.0016 ips: 23.2472 images/s [10/18 09:40:33] ppdet.engine INFO: Epoch: [291] [120/523] learning_rate: 0.000843 loss_vfl: 0.699009 loss_bbox: 0.252537 loss_dfl: 0.175684 loss: 1.129435 eta: 3:00:23 batch_cost: 2.4576 data_cost: 0.0032 ips: 22.7865 images/s [10/18 09:41:24] ppdet.engine INFO: Epoch: [291] [140/523] learning_rate: 0.000836 loss_vfl: 0.673934 loss_bbox: 0.254446 loss_dfl: 0.170251 loss: 1.103287 eta: 2:59:36 batch_cost: 2.4113 data_cost: 0.0020 ips: 23.2236 images/s [10/18 09:42:14] ppdet.engine INFO: Epoch: [291] [160/523] learning_rate: 0.000828 loss_vfl: 0.682707 loss_bbox: 0.240530 loss_dfl: 0.172025 loss: 1.097133 eta: 2:58:49 batch_cost: 2.3834 data_cost: 0.0015 ips: 23.4959 images/s [10/18 09:43:03] ppdet.engine INFO: Epoch: [291] [180/523] learning_rate: 0.000821 loss_vfl: 0.684575 loss_bbox: 0.239355 loss_dfl: 0.179826 loss: 1.101386 eta: 2:58:02 batch_cost: 2.3550 data_cost: 0.0013 ips: 23.7796 images/s [10/18 09:43:53] ppdet.engine INFO: Epoch: [291] [200/523] learning_rate: 0.000814 loss_vfl: 0.683253 loss_bbox: 0.253636 loss_dfl: 0.176254 loss: 1.114552 eta: 2:57:14 batch_cost: 2.3826 data_cost: 0.0014 ips: 23.5041 images/s [10/18 09:44:43] ppdet.engine INFO: Epoch: [291] [220/523] learning_rate: 0.000807 loss_vfl: 0.681629 loss_bbox: 0.242651 loss_dfl: 0.172829 loss: 1.089363 eta: 2:56:27 batch_cost: 2.3792 data_cost: 0.0013 ips: 23.5370 images/s [10/18 09:45:32] ppdet.engine INFO: Epoch: [291] [240/523] learning_rate: 0.000799 loss_vfl: 0.691819 loss_bbox: 0.241635 loss_dfl: 0.172943 loss: 1.104570 eta: 2:55:40 batch_cost: 2.3739 data_cost: 0.0018 ips: 23.5901 images/s [10/18 09:46:22] ppdet.engine INFO: Epoch: [291] [260/523] learning_rate: 0.000792 loss_vfl: 0.677917 loss_bbox: 0.251741 loss_dfl: 0.174724 loss: 1.113837 eta: 2:54:53 batch_cost: 2.3928 data_cost: 0.0016 ips: 23.4038 images/s [10/18 09:47:11] ppdet.engine INFO: Epoch: [291] [280/523] learning_rate: 0.000785 loss_vfl: 0.680125 loss_bbox: 0.263119 loss_dfl: 0.179188 loss: 1.136554 eta: 2:54:06 batch_cost: 2.3177 data_cost: 0.0025 ips: 24.1621 images/s [10/18 09:48:01] ppdet.engine INFO: Epoch: [291] [300/523] learning_rate: 0.000778 loss_vfl: 0.675830 loss_bbox: 0.238982 loss_dfl: 0.170441 loss: 1.103344 eta: 2:53:18 batch_cost: 2.3747 data_cost: 0.0027 ips: 23.5818 images/s [10/18 09:48:49] ppdet.engine INFO: Epoch: [291] [320/523] learning_rate: 0.000771 loss_vfl: 0.667665 loss_bbox: 0.248887 loss_dfl: 0.177744 loss: 1.106910 eta: 2:52:31 batch_cost: 2.3062 data_cost: 0.0019 ips: 24.2820 images/s [10/18 09:49:41] ppdet.engine INFO: Epoch: [291] [340/523] learning_rate: 0.000764 loss_vfl: 0.687235 loss_bbox: 0.261839 loss_dfl: 0.178526 loss: 1.115241 eta: 2:51:44 batch_cost: 2.4994 data_cost: 0.0014 ips: 22.4057 images/s [10/18 09:50:33] ppdet.engine INFO: Epoch: [291] [360/523] learning_rate: 0.000757 loss_vfl: 0.684829 loss_bbox: 0.250444 loss_dfl: 0.175992 loss: 1.116776 eta: 2:50:57 batch_cost: 2.4572 data_cost: 0.0022 ips: 22.7906 images/s [10/18 09:51:22] ppdet.engine INFO: Epoch: [291] [380/523] learning_rate: 0.000750 loss_vfl: 0.673432 loss_bbox: 0.261601 loss_dfl: 0.181179 loss: 1.113988 eta: 2:50:10 batch_cost: 2.3817 data_cost: 0.0024 ips: 23.5129 images/s [10/18 09:52:11] ppdet.engine INFO: Epoch: [291] [400/523] learning_rate: 0.000743 loss_vfl: 0.700634 loss_bbox: 0.244369 loss_dfl: 0.180132 loss: 1.114487 eta: 2:49:23 batch_cost: 2.3278 data_cost: 0.0031 ips: 24.0569 images/s [10/18 09:53:01] ppdet.engine INFO: Epoch: [291] [420/523] learning_rate: 0.000736 loss_vfl: 0.696972 loss_bbox: 0.257240 loss_dfl: 0.183649 loss: 1.132039 eta: 2:48:35 batch_cost: 2.4124 data_cost: 0.0012 ips: 23.2138 images/s [10/18 09:53:53] ppdet.engine INFO: Epoch: [291] [440/523] learning_rate: 0.000730 loss_vfl: 0.685932 loss_bbox: 0.260233 loss_dfl: 0.178420 loss: 1.098997 eta: 2:47:48 batch_cost: 2.4695 data_cost: 0.0014 ips: 22.6764 images/s [10/18 09:54:42] ppdet.engine INFO: Epoch: [291] [460/523] learning_rate: 0.000723 loss_vfl: 0.676692 loss_bbox: 0.259300 loss_dfl: 0.177635 loss: 1.112154 eta: 2:47:01 batch_cost: 2.3494 data_cost: 0.0012 ips: 23.8359 images/s [10/18 09:55:32] ppdet.engine INFO: Epoch: [291] [480/523] learning_rate: 0.000716 loss_vfl: 0.680430 loss_bbox: 0.262842 loss_dfl: 0.184733 loss: 1.130237 eta: 2:46:14 batch_cost: 2.3756 data_cost: 0.0013 ips: 23.5728 images/s [10/18 09:56:22] ppdet.engine INFO: Epoch: [291] [500/523] learning_rate: 0.000709 loss_vfl: 0.703409 loss_bbox: 0.272281 loss_dfl: 0.179714 loss: 1.130230 eta: 2:45:27 batch_cost: 2.3926 data_cost: 0.0013 ips: 23.4054 images/s [10/18 09:57:06] ppdet.engine INFO: Epoch: [291] [520/523] learning_rate: 0.000702 loss_vfl: 0.681875 loss_bbox: 0.252232 loss_dfl: 0.179513 loss: 1.113349 eta: 2:44:39 batch_cost: 2.0798 data_cost: 0.0014 ips: 26.9252 images/s [10/18 09:57:34] ppdet.engine INFO: Epoch: [292] [ 0/523] learning_rate: 0.000701 loss_vfl: 0.681875 loss_bbox: 0.265491 loss_dfl: 0.181232 loss: 1.120940 eta: 2:44:33 batch_cost: 2.9812 data_cost: 0.5086 ips: 18.7846 images/s [10/18 09:58:28] ppdet.engine INFO: Epoch: [292] [ 20/523] learning_rate: 0.000695 loss_vfl: 0.667839 loss_bbox: 0.248190 loss_dfl: 0.172837 loss: 1.098981 eta: 2:43:46 batch_cost: 2.5920 data_cost: 0.0013 ips: 21.6052 images/s [10/18 09:59:19] ppdet.engine INFO: Epoch: [292] [ 40/523] learning_rate: 0.000688 loss_vfl: 0.683873 loss_bbox: 0.228105 loss_dfl: 0.166512 loss: 1.078581 eta: 2:42:59 batch_cost: 2.4332 data_cost: 0.0013 ips: 23.0154 images/s [10/18 10:00:09] ppdet.engine INFO: Epoch: [292] [ 60/523] learning_rate: 0.000681 loss_vfl: 0.689692 loss_bbox: 0.261483 loss_dfl: 0.177669 loss: 1.146905 eta: 2:42:11 batch_cost: 2.3951 data_cost: 0.0014 ips: 23.3808 images/s [10/18 10:00:59] ppdet.engine INFO: Epoch: [292] [ 80/523] learning_rate: 0.000675 loss_vfl: 0.681626 loss_bbox: 0.271520 loss_dfl: 0.182422 loss: 1.143245 eta: 2:41:24 batch_cost: 2.4027 data_cost: 0.0014 ips: 23.3072 images/s [10/18 10:01:50] ppdet.engine INFO: Epoch: [292] [100/523] learning_rate: 0.000668 loss_vfl: 0.683212 loss_bbox: 0.273123 loss_dfl: 0.187404 loss: 1.150696 eta: 2:40:37 batch_cost: 2.4018 data_cost: 0.0015 ips: 23.3162 images/s [10/18 10:02:39] ppdet.engine INFO: Epoch: [292] [120/523] learning_rate: 0.000662 loss_vfl: 0.686052 loss_bbox: 0.250748 loss_dfl: 0.169749 loss: 1.090957 eta: 2:39:50 batch_cost: 2.3497 data_cost: 0.0020 ips: 23.8330 images/s [10/18 10:03:28] ppdet.engine INFO: Epoch: [292] [140/523] learning_rate: 0.000655 loss_vfl: 0.691474 loss_bbox: 0.260238 loss_dfl: 0.188057 loss: 1.142244 eta: 2:39:03 batch_cost: 2.3662 data_cost: 0.0013 ips: 23.6663 images/s [10/18 10:04:18] ppdet.engine INFO: Epoch: [292] [160/523] learning_rate: 0.000649 loss_vfl: 0.672790 loss_bbox: 0.256354 loss_dfl: 0.179591 loss: 1.122558 eta: 2:38:15 batch_cost: 2.3792 data_cost: 0.0020 ips: 23.5373 images/s [10/18 10:05:06] ppdet.engine INFO: Epoch: [292] [180/523] learning_rate: 0.000642 loss_vfl: 0.659351 loss_bbox: 0.257019 loss_dfl: 0.177751 loss: 1.105629 eta: 2:37:28 batch_cost: 2.3238 data_cost: 0.0013 ips: 24.0980 images/s [10/18 10:05:56] ppdet.engine INFO: Epoch: [292] [200/523] learning_rate: 0.000636 loss_vfl: 0.683623 loss_bbox: 0.232318 loss_dfl: 0.172027 loss: 1.102186 eta: 2:36:41 batch_cost: 2.3554 data_cost: 0.0013 ips: 23.7751 images/s [10/18 10:06:45] ppdet.engine INFO: Epoch: [292] [220/523] learning_rate: 0.000630 loss_vfl: 0.676259 loss_bbox: 0.240832 loss_dfl: 0.170677 loss: 1.111553 eta: 2:35:54 batch_cost: 2.3429 data_cost: 0.0013 ips: 23.9016 images/s [10/18 10:07:34] ppdet.engine INFO: Epoch: [292] [240/523] learning_rate: 0.000623 loss_vfl: 0.672967 loss_bbox: 0.263636 loss_dfl: 0.181283 loss: 1.112639 eta: 2:35:07 batch_cost: 2.3479 data_cost: 0.0014 ips: 23.8514 images/s [10/18 10:08:23] ppdet.engine INFO: Epoch: [292] [260/523] learning_rate: 0.000617 loss_vfl: 0.692728 loss_bbox: 0.264652 loss_dfl: 0.183474 loss: 1.141966 eta: 2:34:19 batch_cost: 2.3676 data_cost: 0.0013 ips: 23.6523 images/s [10/18 10:09:14] ppdet.engine INFO: Epoch: [292] [280/523] learning_rate: 0.000611 loss_vfl: 0.674880 loss_bbox: 0.237363 loss_dfl: 0.165750 loss: 1.086724 eta: 2:33:32 batch_cost: 2.4062 data_cost: 0.0015 ips: 23.2730 images/s [10/18 10:10:03] ppdet.engine INFO: Epoch: [292] [300/523] learning_rate: 0.000604 loss_vfl: 0.685641 loss_bbox: 0.260538 loss_dfl: 0.181577 loss: 1.126704 eta: 2:32:45 batch_cost: 2.3362 data_cost: 0.0014 ips: 23.9704 images/s [10/18 10:10:52] ppdet.engine INFO: Epoch: [292] [320/523] learning_rate: 0.000598 loss_vfl: 0.672747 loss_bbox: 0.258505 loss_dfl: 0.181307 loss: 1.131043 eta: 2:31:58 batch_cost: 2.3502 data_cost: 0.0014 ips: 23.8280 images/s [10/18 10:11:41] ppdet.engine INFO: Epoch: [292] [340/523] learning_rate: 0.000592 loss_vfl: 0.674535 loss_bbox: 0.263759 loss_dfl: 0.182866 loss: 1.140433 eta: 2:31:11 batch_cost: 2.3687 data_cost: 0.0013 ips: 23.6415 images/s [10/18 10:12:31] ppdet.engine INFO: Epoch: [292] [360/523] learning_rate: 0.000586 loss_vfl: 0.691031 loss_bbox: 0.252286 loss_dfl: 0.176316 loss: 1.111015 eta: 2:30:23 batch_cost: 2.3587 data_cost: 0.0013 ips: 23.7422 images/s [10/18 10:13:20] ppdet.engine INFO: Epoch: [292] [380/523] learning_rate: 0.000580 loss_vfl: 0.677052 loss_bbox: 0.258621 loss_dfl: 0.183756 loss: 1.113812 eta: 2:29:36 batch_cost: 2.3403 data_cost: 0.0014 ips: 23.9286 images/s [10/18 10:14:09] ppdet.engine INFO: Epoch: [292] [400/523] learning_rate: 0.000574 loss_vfl: 0.688096 loss_bbox: 0.241103 loss_dfl: 0.171361 loss: 1.116380 eta: 2:28:49 batch_cost: 2.3331 data_cost: 0.0025 ips: 24.0019 images/s [10/18 10:14:58] ppdet.engine INFO: Epoch: [292] [420/523] learning_rate: 0.000568 loss_vfl: 0.692785 loss_bbox: 0.255294 loss_dfl: 0.177924 loss: 1.129263 eta: 2:28:02 batch_cost: 2.3529 data_cost: 0.0013 ips: 23.8000 images/s [10/18 10:15:48] ppdet.engine INFO: Epoch: [292] [440/523] learning_rate: 0.000562 loss_vfl: 0.672668 loss_bbox: 0.236135 loss_dfl: 0.167759 loss: 1.096196 eta: 2:27:15 batch_cost: 2.3973 data_cost: 0.0025 ips: 23.3593 images/s [10/18 10:16:37] ppdet.engine INFO: Epoch: [292] [460/523] learning_rate: 0.000556 loss_vfl: 0.684503 loss_bbox: 0.239806 loss_dfl: 0.177577 loss: 1.108886 eta: 2:26:27 batch_cost: 2.3494 data_cost: 0.0014 ips: 23.8361 images/s [10/18 10:17:28] ppdet.engine INFO: Epoch: [292] [480/523] learning_rate: 0.000550 loss_vfl: 0.692467 loss_bbox: 0.254537 loss_dfl: 0.175970 loss: 1.123407 eta: 2:25:40 batch_cost: 2.4317 data_cost: 0.0020 ips: 23.0292 images/s [10/18 10:18:16] ppdet.engine INFO: Epoch: [292] [500/523] learning_rate: 0.000544 loss_vfl: 0.691422 loss_bbox: 0.242273 loss_dfl: 0.173959 loss: 1.098178 eta: 2:24:53 batch_cost: 2.2785 data_cost: 0.0014 ips: 24.5774 images/s [10/18 10:18:58] ppdet.engine INFO: Epoch: [292] [520/523] learning_rate: 0.000538 loss_vfl: 0.689532 loss_bbox: 0.260826 loss_dfl: 0.178769 loss: 1.143508 eta: 2:24:06 batch_cost: 2.0143 data_cost: 0.0019 ips: 27.8019 images/s [10/18 10:19:27] ppdet.engine INFO: Epoch: [293] [ 0/523] learning_rate: 0.000537 loss_vfl: 0.691390 loss_bbox: 0.249183 loss_dfl: 0.178561 loss: 1.120145 eta: 2:23:59 batch_cost: 2.9374 data_cost: 0.6672 ips: 19.0643 images/s [10/18 10:20:22] ppdet.engine INFO: Epoch: [293] [ 20/523] learning_rate: 0.000531 loss_vfl: 0.664605 loss_bbox: 0.241036 loss_dfl: 0.172101 loss: 1.087601 eta: 2:23:12 batch_cost: 2.6013 data_cost: 0.0015 ips: 21.5273 images/s [10/18 10:21:11] ppdet.engine INFO: Epoch: [293] [ 40/523] learning_rate: 0.000525 loss_vfl: 0.677037 loss_bbox: 0.244338 loss_dfl: 0.164389 loss: 1.089409 eta: 2:22:25 batch_cost: 2.3737 data_cost: 0.0021 ips: 23.5916 images/s [10/18 10:21:59] ppdet.engine INFO: Epoch: [293] [ 60/523] learning_rate: 0.000520 loss_vfl: 0.681298 loss_bbox: 0.241357 loss_dfl: 0.164848 loss: 1.081211 eta: 2:21:38 batch_cost: 2.2909 data_cost: 0.0014 ips: 24.4450 images/s [10/18 10:22:47] ppdet.engine INFO: Epoch: [293] [ 80/523] learning_rate: 0.000514 loss_vfl: 0.681549 loss_bbox: 0.277170 loss_dfl: 0.183113 loss: 1.147575 eta: 2:20:50 batch_cost: 2.2904 data_cost: 0.0013 ips: 24.4498 images/s [10/18 10:23:36] ppdet.engine INFO: Epoch: [293] [100/523] learning_rate: 0.000508 loss_vfl: 0.687224 loss_bbox: 0.246509 loss_dfl: 0.175513 loss: 1.123344 eta: 2:20:03 batch_cost: 2.3463 data_cost: 0.0015 ips: 23.8677 images/s [10/18 10:24:26] ppdet.engine INFO: Epoch: [293] [120/523] learning_rate: 0.000502 loss_vfl: 0.673041 loss_bbox: 0.246726 loss_dfl: 0.167034 loss: 1.105871 eta: 2:19:16 batch_cost: 2.3870 data_cost: 0.0026 ips: 23.4604 images/s [10/18 10:25:16] ppdet.engine INFO: Epoch: [293] [140/523] learning_rate: 0.000497 loss_vfl: 0.680837 loss_bbox: 0.256607 loss_dfl: 0.179975 loss: 1.107085 eta: 2:18:29 batch_cost: 2.3997 data_cost: 0.0025 ips: 23.3365 images/s [10/18 10:26:07] ppdet.engine INFO: Epoch: [293] [160/523] learning_rate: 0.000491 loss_vfl: 0.677267 loss_bbox: 0.274209 loss_dfl: 0.187900 loss: 1.146880 eta: 2:17:42 batch_cost: 2.4354 data_cost: 0.0013 ips: 22.9940 images/s [10/18 10:26:57] ppdet.engine INFO: Epoch: [293] [180/523] learning_rate: 0.000486 loss_vfl: 0.696974 loss_bbox: 0.236863 loss_dfl: 0.173899 loss: 1.114842 eta: 2:16:54 batch_cost: 2.3909 data_cost: 0.0013 ips: 23.4220 images/s [10/18 10:27:47] ppdet.engine INFO: Epoch: [293] [200/523] learning_rate: 0.000480 loss_vfl: 0.678987 loss_bbox: 0.263778 loss_dfl: 0.176589 loss: 1.134629 eta: 2:16:07 batch_cost: 2.3586 data_cost: 0.0014 ips: 23.7426 images/s [10/18 10:28:37] ppdet.engine INFO: Epoch: [293] [220/523] learning_rate: 0.000475 loss_vfl: 0.694304 loss_bbox: 0.258256 loss_dfl: 0.172811 loss: 1.102927 eta: 2:15:20 batch_cost: 2.3962 data_cost: 0.0017 ips: 23.3704 images/s [10/18 10:29:25] ppdet.engine INFO: Epoch: [293] [240/523] learning_rate: 0.000469 loss_vfl: 0.690210 loss_bbox: 0.257391 loss_dfl: 0.180515 loss: 1.128041 eta: 2:14:33 batch_cost: 2.3034 data_cost: 0.0013 ips: 24.3117 images/s [10/18 10:30:15] ppdet.engine INFO: Epoch: [293] [260/523] learning_rate: 0.000464 loss_vfl: 0.680346 loss_bbox: 0.246368 loss_dfl: 0.177664 loss: 1.115612 eta: 2:13:46 batch_cost: 2.3891 data_cost: 0.0014 ips: 23.4396 images/s [10/18 10:31:05] ppdet.engine INFO: Epoch: [293] [280/523] learning_rate: 0.000458 loss_vfl: 0.688269 loss_bbox: 0.263513 loss_dfl: 0.184627 loss: 1.131389 eta: 2:12:58 batch_cost: 2.3666 data_cost: 0.0016 ips: 23.6628 images/s [10/18 10:31:54] ppdet.engine INFO: Epoch: [293] [300/523] learning_rate: 0.000453 loss_vfl: 0.685902 loss_bbox: 0.256029 loss_dfl: 0.181241 loss: 1.151123 eta: 2:12:11 batch_cost: 2.3337 data_cost: 0.0014 ips: 23.9962 images/s [10/18 10:32:43] ppdet.engine INFO: Epoch: [293] [320/523] learning_rate: 0.000447 loss_vfl: 0.676394 loss_bbox: 0.233040 loss_dfl: 0.170828 loss: 1.072504 eta: 2:11:24 batch_cost: 2.3510 data_cost: 0.0017 ips: 23.8192 images/s [10/18 10:33:32] ppdet.engine INFO: Epoch: [293] [340/523] learning_rate: 0.000442 loss_vfl: 0.668407 loss_bbox: 0.257102 loss_dfl: 0.177106 loss: 1.116090 eta: 2:10:37 batch_cost: 2.3303 data_cost: 0.0015 ips: 24.0313 images/s [10/18 10:34:23] ppdet.engine INFO: Epoch: [293] [360/523] learning_rate: 0.000437 loss_vfl: 0.693383 loss_bbox: 0.256985 loss_dfl: 0.180612 loss: 1.139038 eta: 2:09:50 batch_cost: 2.4236 data_cost: 0.0021 ips: 23.1061 images/s [10/18 10:35:12] ppdet.engine INFO: Epoch: [293] [380/523] learning_rate: 0.000431 loss_vfl: 0.683695 loss_bbox: 0.259499 loss_dfl: 0.178936 loss: 1.115739 eta: 2:09:02 batch_cost: 2.3456 data_cost: 0.0013 ips: 23.8741 images/s [10/18 10:36:01] ppdet.engine INFO: Epoch: [293] [400/523] learning_rate: 0.000426 loss_vfl: 0.675340 loss_bbox: 0.252125 loss_dfl: 0.176077 loss: 1.117033 eta: 2:08:15 batch_cost: 2.3499 data_cost: 0.0014 ips: 23.8311 images/s [10/18 10:36:50] ppdet.engine INFO: Epoch: [293] [420/523] learning_rate: 0.000421 loss_vfl: 0.674418 loss_bbox: 0.249074 loss_dfl: 0.172678 loss: 1.085922 eta: 2:07:28 batch_cost: 2.3319 data_cost: 0.0013 ips: 24.0145 images/s [10/18 10:37:38] ppdet.engine INFO: Epoch: [293] [440/523] learning_rate: 0.000416 loss_vfl: 0.683084 loss_bbox: 0.247671 loss_dfl: 0.176185 loss: 1.114290 eta: 2:06:41 batch_cost: 2.3380 data_cost: 0.0014 ips: 23.9521 images/s [10/18 10:38:27] ppdet.engine INFO: Epoch: [293] [460/523] learning_rate: 0.000411 loss_vfl: 0.676849 loss_bbox: 0.238496 loss_dfl: 0.179841 loss: 1.087294 eta: 2:05:54 batch_cost: 2.3362 data_cost: 0.0032 ips: 23.9706 images/s [10/18 10:39:15] ppdet.engine INFO: Epoch: [293] [480/523] learning_rate: 0.000406 loss_vfl: 0.686046 loss_bbox: 0.260910 loss_dfl: 0.183339 loss: 1.134423 eta: 2:05:06 batch_cost: 2.2980 data_cost: 0.0021 ips: 24.3687 images/s [10/18 10:40:06] ppdet.engine INFO: Epoch: [293] [500/523] learning_rate: 0.000400 loss_vfl: 0.699903 loss_bbox: 0.248648 loss_dfl: 0.181258 loss: 1.127189 eta: 2:04:19 batch_cost: 2.4254 data_cost: 0.0014 ips: 23.0887 images/s [10/18 10:40:50] ppdet.engine INFO: Epoch: [293] [520/523] learning_rate: 0.000395 loss_vfl: 0.684890 loss_bbox: 0.255060 loss_dfl: 0.176334 loss: 1.125368 eta: 2:03:32 batch_cost: 2.0831 data_cost: 0.0013 ips: 26.8828 images/s [10/18 10:41:22] ppdet.engine INFO: Epoch: [294] [ 0/523] learning_rate: 0.000395 loss_vfl: 0.687829 loss_bbox: 0.252493 loss_dfl: 0.179328 loss: 1.128314 eta: 2:03:25 batch_cost: 3.1558 data_cost: 0.8438 ips: 17.7451 images/s [10/18 10:42:13] ppdet.engine INFO: Epoch: [294] [ 20/523] learning_rate: 0.000390 loss_vfl: 0.679529 loss_bbox: 0.242172 loss_dfl: 0.174699 loss: 1.092214 eta: 2:02:38 batch_cost: 2.4464 data_cost: 0.0015 ips: 22.8907 images/s [10/18 10:43:04] ppdet.engine INFO: Epoch: [294] [ 40/523] learning_rate: 0.000385 loss_vfl: 0.679107 loss_bbox: 0.267496 loss_dfl: 0.176750 loss: 1.121898 eta: 2:01:51 batch_cost: 2.4058 data_cost: 0.0015 ips: 23.2770 images/s [10/18 10:43:53] ppdet.engine INFO: Epoch: [294] [ 60/523] learning_rate: 0.000380 loss_vfl: 0.692603 loss_bbox: 0.241290 loss_dfl: 0.178284 loss: 1.125917 eta: 2:01:04 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7096 images/s [10/18 10:44:44] ppdet.engine INFO: Epoch: [294] [ 80/523] learning_rate: 0.000375 loss_vfl: 0.680804 loss_bbox: 0.260822 loss_dfl: 0.186714 loss: 1.133622 eta: 2:00:16 batch_cost: 2.4389 data_cost: 0.0013 ips: 22.9613 images/s [10/18 10:45:34] ppdet.engine INFO: Epoch: [294] [100/523] learning_rate: 0.000370 loss_vfl: 0.664802 loss_bbox: 0.259762 loss_dfl: 0.180304 loss: 1.109636 eta: 1:59:29 batch_cost: 2.3967 data_cost: 0.0013 ips: 23.3655 images/s [10/18 10:46:24] ppdet.engine INFO: Epoch: [294] [120/523] learning_rate: 0.000365 loss_vfl: 0.688127 loss_bbox: 0.245398 loss_dfl: 0.176052 loss: 1.101691 eta: 1:58:42 batch_cost: 2.3794 data_cost: 0.0013 ips: 23.5356 images/s [10/18 10:47:13] ppdet.engine INFO: Epoch: [294] [140/523] learning_rate: 0.000360 loss_vfl: 0.682181 loss_bbox: 0.245814 loss_dfl: 0.179676 loss: 1.105257 eta: 1:57:55 batch_cost: 2.3287 data_cost: 0.0015 ips: 24.0473 images/s [10/18 10:48:01] ppdet.engine INFO: Epoch: [294] [160/523] learning_rate: 0.000355 loss_vfl: 0.678716 loss_bbox: 0.269025 loss_dfl: 0.179032 loss: 1.143304 eta: 1:57:08 batch_cost: 2.3242 data_cost: 0.0013 ips: 24.0943 images/s [10/18 10:48:50] ppdet.engine INFO: Epoch: [294] [180/523] learning_rate: 0.000351 loss_vfl: 0.667241 loss_bbox: 0.232399 loss_dfl: 0.177000 loss: 1.080188 eta: 1:56:20 batch_cost: 2.3512 data_cost: 0.0013 ips: 23.8173 images/s [10/18 10:49:39] ppdet.engine INFO: Epoch: [294] 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0.180288 loss: 1.117842 eta: 1:52:24 batch_cost: 2.3642 data_cost: 0.0013 ips: 23.6868 images/s [10/18 10:53:43] ppdet.engine INFO: Epoch: [294] [300/523] learning_rate: 0.000323 loss_vfl: 0.678441 loss_bbox: 0.240381 loss_dfl: 0.176326 loss: 1.103689 eta: 1:51:37 batch_cost: 2.2892 data_cost: 0.0013 ips: 24.4626 images/s [10/18 10:54:32] ppdet.engine INFO: Epoch: [294] [320/523] learning_rate: 0.000318 loss_vfl: 0.685001 loss_bbox: 0.246564 loss_dfl: 0.179342 loss: 1.111709 eta: 1:50:50 batch_cost: 2.3368 data_cost: 0.0013 ips: 23.9642 images/s [10/18 10:55:20] ppdet.engine INFO: Epoch: [294] [340/523] learning_rate: 0.000314 loss_vfl: 0.688293 loss_bbox: 0.250643 loss_dfl: 0.175255 loss: 1.095802 eta: 1:50:03 batch_cost: 2.3244 data_cost: 0.0026 ips: 24.0926 images/s [10/18 10:56:10] ppdet.engine INFO: Epoch: [294] [360/523] learning_rate: 0.000309 loss_vfl: 0.671751 loss_bbox: 0.232560 loss_dfl: 0.177021 loss: 1.085021 eta: 1:49:16 batch_cost: 2.3831 data_cost: 0.0020 ips: 23.4984 images/s [10/18 10:56:59] ppdet.engine INFO: Epoch: [294] [380/523] learning_rate: 0.000305 loss_vfl: 0.672673 loss_bbox: 0.242948 loss_dfl: 0.177544 loss: 1.097209 eta: 1:48:28 batch_cost: 2.3486 data_cost: 0.0014 ips: 23.8440 images/s [10/18 10:57:49] ppdet.engine INFO: Epoch: [294] [400/523] learning_rate: 0.000300 loss_vfl: 0.699896 loss_bbox: 0.263669 loss_dfl: 0.177762 loss: 1.147418 eta: 1:47:41 batch_cost: 2.3789 data_cost: 0.0014 ips: 23.5404 images/s [10/18 10:58:38] ppdet.engine INFO: Epoch: [294] [420/523] learning_rate: 0.000296 loss_vfl: 0.668311 loss_bbox: 0.258334 loss_dfl: 0.181826 loss: 1.099561 eta: 1:46:54 batch_cost: 2.3280 data_cost: 0.0013 ips: 24.0550 images/s [10/18 10:59:27] ppdet.engine INFO: Epoch: [294] [440/523] learning_rate: 0.000292 loss_vfl: 0.688062 loss_bbox: 0.252254 loss_dfl: 0.176420 loss: 1.108338 eta: 1:46:07 batch_cost: 2.3661 data_cost: 0.0013 ips: 23.6672 images/s [10/18 11:00:18] ppdet.engine INFO: Epoch: [294] [460/523] learning_rate: 0.000287 loss_vfl: 0.689895 loss_bbox: 0.256301 loss_dfl: 0.178425 loss: 1.134528 eta: 1:45:20 batch_cost: 2.4531 data_cost: 0.0015 ips: 22.8286 images/s [10/18 11:01:10] ppdet.engine INFO: Epoch: [294] [480/523] learning_rate: 0.000283 loss_vfl: 0.683915 loss_bbox: 0.256077 loss_dfl: 0.177841 loss: 1.112948 eta: 1:44:32 batch_cost: 2.4659 data_cost: 0.0014 ips: 22.7098 images/s [10/18 11:02:01] ppdet.engine INFO: Epoch: [294] [500/523] learning_rate: 0.000279 loss_vfl: 0.686534 loss_bbox: 0.241493 loss_dfl: 0.171421 loss: 1.093548 eta: 1:43:45 batch_cost: 2.4461 data_cost: 0.0017 ips: 22.8937 images/s [10/18 11:02:44] ppdet.engine INFO: Epoch: [294] [520/523] learning_rate: 0.000275 loss_vfl: 0.680121 loss_bbox: 0.263541 loss_dfl: 0.179026 loss: 1.129976 eta: 1:42:58 batch_cost: 2.0584 data_cost: 0.0013 ips: 27.2051 images/s [10/18 11:03:16] ppdet.engine INFO: Epoch: [295] [ 0/523] learning_rate: 0.000274 loss_vfl: 0.680121 loss_bbox: 0.266616 loss_dfl: 0.179332 loss: 1.132448 eta: 1:42:51 batch_cost: 3.0522 data_cost: 0.5879 ips: 18.3476 images/s [10/18 11:04:06] ppdet.engine INFO: Epoch: [295] [ 20/523] learning_rate: 0.000270 loss_vfl: 0.679642 loss_bbox: 0.255962 loss_dfl: 0.174547 loss: 1.122613 eta: 1:42:04 batch_cost: 2.3760 data_cost: 0.0014 ips: 23.5689 images/s [10/18 11:04:58] ppdet.engine INFO: Epoch: [295] [ 40/523] learning_rate: 0.000266 loss_vfl: 0.693871 loss_bbox: 0.241009 loss_dfl: 0.172833 loss: 1.119855 eta: 1:41:17 batch_cost: 2.4829 data_cost: 0.0016 ips: 22.5543 images/s [10/18 11:05:48] ppdet.engine INFO: Epoch: [295] [ 60/523] learning_rate: 0.000262 loss_vfl: 0.673713 loss_bbox: 0.246212 loss_dfl: 0.172629 loss: 1.073438 eta: 1:40:30 batch_cost: 2.3803 data_cost: 0.0014 ips: 23.5268 images/s [10/18 11:06:38] ppdet.engine INFO: Epoch: [295] [ 80/523] learning_rate: 0.000258 loss_vfl: 0.678060 loss_bbox: 0.237729 loss_dfl: 0.174590 loss: 1.102179 eta: 1:39:43 batch_cost: 2.4022 data_cost: 0.0018 ips: 23.3123 images/s [10/18 11:07:27] ppdet.engine INFO: Epoch: [295] [100/523] learning_rate: 0.000254 loss_vfl: 0.679960 loss_bbox: 0.227066 loss_dfl: 0.158646 loss: 1.061988 eta: 1:38:55 batch_cost: 2.3482 data_cost: 0.0015 ips: 23.8477 images/s [10/18 11:08:16] ppdet.engine INFO: Epoch: [295] [120/523] learning_rate: 0.000250 loss_vfl: 0.678829 loss_bbox: 0.241680 loss_dfl: 0.169526 loss: 1.094189 eta: 1:38:08 batch_cost: 2.3262 data_cost: 0.0017 ips: 24.0741 images/s [10/18 11:09:07] ppdet.engine INFO: Epoch: [295] [140/523] learning_rate: 0.000246 loss_vfl: 0.672473 loss_bbox: 0.254337 loss_dfl: 0.176730 loss: 1.104607 eta: 1:37:21 batch_cost: 2.4270 data_cost: 0.0013 ips: 23.0734 images/s [10/18 11:09:56] ppdet.engine INFO: Epoch: [295] [160/523] learning_rate: 0.000242 loss_vfl: 0.677995 loss_bbox: 0.224127 loss_dfl: 0.166281 loss: 1.078768 eta: 1:36:34 batch_cost: 2.3680 data_cost: 0.0013 ips: 23.6487 images/s [10/18 11:10:47] ppdet.engine INFO: Epoch: [295] [180/523] learning_rate: 0.000238 loss_vfl: 0.694927 loss_bbox: 0.258113 loss_dfl: 0.175315 loss: 1.125090 eta: 1:35:47 batch_cost: 2.4069 data_cost: 0.0023 ips: 23.2663 images/s [10/18 11:11:37] ppdet.engine INFO: Epoch: [295] [200/523] learning_rate: 0.000234 loss_vfl: 0.673639 loss_bbox: 0.255389 loss_dfl: 0.180664 loss: 1.127944 eta: 1:34:59 batch_cost: 2.3971 data_cost: 0.0013 ips: 23.3617 images/s [10/18 11:12:27] ppdet.engine INFO: Epoch: [295] [220/523] learning_rate: 0.000230 loss_vfl: 0.681589 loss_bbox: 0.265063 loss_dfl: 0.185148 loss: 1.138252 eta: 1:34:12 batch_cost: 2.4092 data_cost: 0.0014 ips: 23.2438 images/s [10/18 11:13:16] ppdet.engine INFO: Epoch: [295] [240/523] learning_rate: 0.000226 loss_vfl: 0.669349 loss_bbox: 0.257073 loss_dfl: 0.176065 loss: 1.098609 eta: 1:33:25 batch_cost: 2.3540 data_cost: 0.0013 ips: 23.7897 images/s [10/18 11:14:06] ppdet.engine INFO: Epoch: [295] [260/523] learning_rate: 0.000222 loss_vfl: 0.692449 loss_bbox: 0.253310 loss_dfl: 0.175203 loss: 1.125305 eta: 1:32:38 batch_cost: 2.3521 data_cost: 0.0014 ips: 23.8085 images/s [10/18 11:14:56] ppdet.engine INFO: Epoch: [295] [280/523] learning_rate: 0.000219 loss_vfl: 0.692211 loss_bbox: 0.245604 loss_dfl: 0.178088 loss: 1.123568 eta: 1:31:51 batch_cost: 2.3930 data_cost: 0.0013 ips: 23.4013 images/s [10/18 11:15:45] ppdet.engine INFO: Epoch: [295] [300/523] learning_rate: 0.000215 loss_vfl: 0.661116 loss_bbox: 0.246709 loss_dfl: 0.177553 loss: 1.087711 eta: 1:31:03 batch_cost: 2.3507 data_cost: 0.0013 ips: 23.8229 images/s [10/18 11:16:34] ppdet.engine INFO: Epoch: [295] [320/523] learning_rate: 0.000211 loss_vfl: 0.681992 loss_bbox: 0.242428 loss_dfl: 0.172744 loss: 1.079566 eta: 1:30:16 batch_cost: 2.3559 data_cost: 0.0015 ips: 23.7701 images/s [10/18 11:17:24] ppdet.engine INFO: Epoch: [295] [340/523] learning_rate: 0.000207 loss_vfl: 0.673835 loss_bbox: 0.249696 loss_dfl: 0.179661 loss: 1.096293 eta: 1:29:29 batch_cost: 2.3794 data_cost: 0.0021 ips: 23.5353 images/s [10/18 11:18:13] ppdet.engine INFO: Epoch: [295] [360/523] learning_rate: 0.000204 loss_vfl: 0.683303 loss_bbox: 0.251420 loss_dfl: 0.181213 loss: 1.133337 eta: 1:28:42 batch_cost: 2.3853 data_cost: 0.0014 ips: 23.4768 images/s [10/18 11:19:03] ppdet.engine INFO: Epoch: [295] [380/523] learning_rate: 0.000200 loss_vfl: 0.684459 loss_bbox: 0.235584 loss_dfl: 0.168271 loss: 1.107378 eta: 1:27:55 batch_cost: 2.3738 data_cost: 0.0013 ips: 23.5909 images/s [10/18 11:19:52] ppdet.engine INFO: Epoch: [295] [400/523] learning_rate: 0.000197 loss_vfl: 0.686864 loss_bbox: 0.256425 loss_dfl: 0.183489 loss: 1.132189 eta: 1:27:07 batch_cost: 2.3392 data_cost: 0.0013 ips: 23.9395 images/s [10/18 11:20:42] ppdet.engine INFO: Epoch: [295] [420/523] learning_rate: 0.000193 loss_vfl: 0.679728 loss_bbox: 0.258668 loss_dfl: 0.175923 loss: 1.099987 eta: 1:26:20 batch_cost: 2.3694 data_cost: 0.0015 ips: 23.6347 images/s [10/18 11:21:33] ppdet.engine INFO: Epoch: [295] [440/523] learning_rate: 0.000190 loss_vfl: 0.684690 loss_bbox: 0.255657 loss_dfl: 0.180869 loss: 1.123951 eta: 1:25:33 batch_cost: 2.4481 data_cost: 0.0013 ips: 22.8749 images/s [10/18 11:22:21] ppdet.engine INFO: Epoch: [295] [460/523] learning_rate: 0.000186 loss_vfl: 0.685135 loss_bbox: 0.245114 loss_dfl: 0.169872 loss: 1.082404 eta: 1:24:46 batch_cost: 2.3166 data_cost: 0.0021 ips: 24.1736 images/s [10/18 11:23:10] ppdet.engine INFO: Epoch: [295] [480/523] learning_rate: 0.000183 loss_vfl: 0.672323 loss_bbox: 0.235803 loss_dfl: 0.173768 loss: 1.094950 eta: 1:23:58 batch_cost: 2.3037 data_cost: 0.0012 ips: 24.3089 images/s [10/18 11:23:58] ppdet.engine INFO: Epoch: [295] [500/523] learning_rate: 0.000179 loss_vfl: 0.684719 loss_bbox: 0.260991 loss_dfl: 0.173614 loss: 1.118410 eta: 1:23:11 batch_cost: 2.3392 data_cost: 0.0012 ips: 23.9403 images/s [10/18 11:24:42] ppdet.engine INFO: Epoch: [295] [520/523] learning_rate: 0.000176 loss_vfl: 0.673093 loss_bbox: 0.241632 loss_dfl: 0.178098 loss: 1.091776 eta: 1:22:24 batch_cost: 2.0576 data_cost: 0.0012 ips: 27.2166 images/s [10/18 11:25:14] ppdet.engine INFO: Epoch: [296] [ 0/523] learning_rate: 0.000175 loss_vfl: 0.693426 loss_bbox: 0.239996 loss_dfl: 0.173615 loss: 1.097089 eta: 1:22:17 batch_cost: 3.1113 data_cost: 0.7587 ips: 17.9989 images/s [10/18 11:26:07] ppdet.engine INFO: Epoch: [296] [ 20/523] learning_rate: 0.000172 loss_vfl: 0.680262 loss_bbox: 0.256879 loss_dfl: 0.179635 loss: 1.099233 eta: 1:21:30 batch_cost: 2.5428 data_cost: 0.0014 ips: 22.0228 images/s [10/18 11:27:00] ppdet.engine INFO: Epoch: [296] [ 40/523] learning_rate: 0.000169 loss_vfl: 0.682621 loss_bbox: 0.228267 loss_dfl: 0.165053 loss: 1.066365 eta: 1:20:43 batch_cost: 2.5320 data_cost: 0.0019 ips: 22.1171 images/s [10/18 11:27:51] ppdet.engine INFO: Epoch: [296] [ 60/523] learning_rate: 0.000166 loss_vfl: 0.687397 loss_bbox: 0.251065 loss_dfl: 0.175184 loss: 1.108660 eta: 1:19:56 batch_cost: 2.4345 data_cost: 0.0025 ips: 23.0031 images/s [10/18 11:28:41] ppdet.engine INFO: Epoch: [296] [ 80/523] learning_rate: 0.000162 loss_vfl: 0.689216 loss_bbox: 0.257278 loss_dfl: 0.173592 loss: 1.121010 eta: 1:19:08 batch_cost: 2.3710 data_cost: 0.0013 ips: 23.6183 images/s [10/18 11:29:31] ppdet.engine INFO: Epoch: [296] [100/523] learning_rate: 0.000159 loss_vfl: 0.678876 loss_bbox: 0.250450 loss_dfl: 0.167954 loss: 1.095487 eta: 1:18:21 batch_cost: 2.3619 data_cost: 0.0013 ips: 23.7097 images/s [10/18 11:30:20] ppdet.engine INFO: Epoch: [296] [120/523] learning_rate: 0.000156 loss_vfl: 0.694932 loss_bbox: 0.234516 loss_dfl: 0.171377 loss: 1.098153 eta: 1:17:34 batch_cost: 2.3295 data_cost: 0.0013 ips: 24.0391 images/s [10/18 11:31:09] ppdet.engine INFO: Epoch: [296] [140/523] learning_rate: 0.000153 loss_vfl: 0.674291 loss_bbox: 0.256875 loss_dfl: 0.178858 loss: 1.124278 eta: 1:16:47 batch_cost: 2.3568 data_cost: 0.0013 ips: 23.7612 images/s [10/18 11:31:59] ppdet.engine INFO: Epoch: [296] [160/523] learning_rate: 0.000150 loss_vfl: 0.703541 loss_bbox: 0.240096 loss_dfl: 0.174012 loss: 1.117154 eta: 1:16:00 batch_cost: 2.3805 data_cost: 0.0024 ips: 23.5243 images/s [10/18 11:32:48] ppdet.engine INFO: Epoch: [296] [180/523] learning_rate: 0.000147 loss_vfl: 0.673125 loss_bbox: 0.246063 loss_dfl: 0.173935 loss: 1.112684 eta: 1:15:12 batch_cost: 2.3468 data_cost: 0.0013 ips: 23.8624 images/s [10/18 11:33:36] ppdet.engine INFO: Epoch: [296] [200/523] learning_rate: 0.000143 loss_vfl: 0.677263 loss_bbox: 0.249727 loss_dfl: 0.174008 loss: 1.098295 eta: 1:14:25 batch_cost: 2.2982 data_cost: 0.0012 ips: 24.3669 images/s [10/18 11:34:24] ppdet.engine INFO: Epoch: [296] [220/523] learning_rate: 0.000140 loss_vfl: 0.684135 loss_bbox: 0.237304 loss_dfl: 0.173112 loss: 1.085492 eta: 1:13:38 batch_cost: 2.2646 data_cost: 0.0013 ips: 24.7282 images/s [10/18 11:35:13] ppdet.engine INFO: Epoch: [296] [240/523] learning_rate: 0.000137 loss_vfl: 0.676397 loss_bbox: 0.259943 loss_dfl: 0.178527 loss: 1.112712 eta: 1:12:51 batch_cost: 2.3523 data_cost: 0.0012 ips: 23.8061 images/s [10/18 11:36:03] ppdet.engine INFO: Epoch: [296] [260/523] learning_rate: 0.000135 loss_vfl: 0.689217 loss_bbox: 0.257096 loss_dfl: 0.182957 loss: 1.123801 eta: 1:12:04 batch_cost: 2.3452 data_cost: 0.0012 ips: 23.8787 images/s [10/18 11:36:53] ppdet.engine INFO: Epoch: [296] [280/523] learning_rate: 0.000132 loss_vfl: 0.666402 loss_bbox: 0.254064 loss_dfl: 0.176690 loss: 1.092432 eta: 1:11:16 batch_cost: 2.4068 data_cost: 0.0019 ips: 23.2677 images/s [10/18 11:37:43] ppdet.engine INFO: Epoch: [296] [300/523] learning_rate: 0.000129 loss_vfl: 0.673199 loss_bbox: 0.226574 loss_dfl: 0.168080 loss: 1.080860 eta: 1:10:29 batch_cost: 2.3783 data_cost: 0.0034 ips: 23.5466 images/s [10/18 11:38:32] ppdet.engine INFO: Epoch: [296] [320/523] learning_rate: 0.000126 loss_vfl: 0.674753 loss_bbox: 0.259907 loss_dfl: 0.180692 loss: 1.116577 eta: 1:09:42 batch_cost: 2.3132 data_cost: 0.0015 ips: 24.2092 images/s [10/18 11:39:20] ppdet.engine INFO: Epoch: [296] [340/523] learning_rate: 0.000123 loss_vfl: 0.685195 loss_bbox: 0.272820 loss_dfl: 0.183785 loss: 1.129332 eta: 1:08:55 batch_cost: 2.3010 data_cost: 0.0013 ips: 24.3377 images/s [10/18 11:40:09] ppdet.engine INFO: Epoch: [296] [360/523] learning_rate: 0.000120 loss_vfl: 0.672083 loss_bbox: 0.255484 loss_dfl: 0.179062 loss: 1.099067 eta: 1:08:08 batch_cost: 2.3520 data_cost: 0.0013 ips: 23.8098 images/s [10/18 11:40:58] ppdet.engine INFO: Epoch: [296] [380/523] learning_rate: 0.000117 loss_vfl: 0.679559 loss_bbox: 0.254724 loss_dfl: 0.175571 loss: 1.127186 eta: 1:07:20 batch_cost: 2.3615 data_cost: 0.0013 ips: 23.7136 images/s [10/18 11:41:49] ppdet.engine INFO: Epoch: [296] [400/523] learning_rate: 0.000115 loss_vfl: 0.693717 loss_bbox: 0.251998 loss_dfl: 0.179350 loss: 1.114778 eta: 1:06:33 batch_cost: 2.3833 data_cost: 0.0019 ips: 23.4971 images/s [10/18 11:42:37] ppdet.engine INFO: Epoch: [296] [420/523] learning_rate: 0.000112 loss_vfl: 0.679472 loss_bbox: 0.245679 loss_dfl: 0.178526 loss: 1.097468 eta: 1:05:46 batch_cost: 2.3135 data_cost: 0.0013 ips: 24.2062 images/s [10/18 11:43:28] ppdet.engine INFO: Epoch: [296] [440/523] learning_rate: 0.000109 loss_vfl: 0.692024 loss_bbox: 0.249761 loss_dfl: 0.178205 loss: 1.126218 eta: 1:04:59 batch_cost: 2.3896 data_cost: 0.0012 ips: 23.4353 images/s [10/18 11:44:17] ppdet.engine INFO: Epoch: [296] [460/523] learning_rate: 0.000107 loss_vfl: 0.690302 loss_bbox: 0.226260 loss_dfl: 0.161460 loss: 1.083064 eta: 1:04:12 batch_cost: 2.3849 data_cost: 0.0012 ips: 23.4815 images/s [10/18 11:45:07] ppdet.engine INFO: Epoch: [296] [480/523] learning_rate: 0.000104 loss_vfl: 0.681548 loss_bbox: 0.252972 loss_dfl: 0.175098 loss: 1.111856 eta: 1:03:24 batch_cost: 2.3591 data_cost: 0.0013 ips: 23.7378 images/s [10/18 11:45:55] ppdet.engine INFO: Epoch: [296] [500/523] learning_rate: 0.000102 loss_vfl: 0.686961 loss_bbox: 0.251688 loss_dfl: 0.170587 loss: 1.120166 eta: 1:02:37 batch_cost: 2.3138 data_cost: 0.0013 ips: 24.2021 images/s [10/18 11:46:39] ppdet.engine INFO: Epoch: [296] 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0.174198 loss: 1.088791 eta: 0:59:21 batch_cost: 2.4565 data_cost: 0.0013 ips: 22.7968 images/s [10/18 11:50:34] ppdet.engine INFO: Epoch: [297] [ 80/523] learning_rate: 0.000089 loss_vfl: 0.694417 loss_bbox: 0.254084 loss_dfl: 0.172739 loss: 1.120626 eta: 0:58:34 batch_cost: 2.4221 data_cost: 0.0015 ips: 23.1207 images/s [10/18 11:51:24] ppdet.engine INFO: Epoch: [297] [100/523] learning_rate: 0.000087 loss_vfl: 0.662338 loss_bbox: 0.241010 loss_dfl: 0.181973 loss: 1.103976 eta: 0:57:47 batch_cost: 2.3795 data_cost: 0.0020 ips: 23.5345 images/s [10/18 11:52:13] ppdet.engine INFO: Epoch: [297] [120/523] learning_rate: 0.000084 loss_vfl: 0.681070 loss_bbox: 0.243070 loss_dfl: 0.161506 loss: 1.107215 eta: 0:57:00 batch_cost: 2.3298 data_cost: 0.0015 ips: 24.0362 images/s [10/18 11:53:01] ppdet.engine INFO: Epoch: [297] [140/523] learning_rate: 0.000082 loss_vfl: 0.692968 loss_bbox: 0.253416 loss_dfl: 0.175640 loss: 1.135918 eta: 0:56:13 batch_cost: 2.2721 data_cost: 0.0016 ips: 24.6469 images/s [10/18 11:53:49] ppdet.engine INFO: Epoch: [297] [160/523] learning_rate: 0.000080 loss_vfl: 0.689644 loss_bbox: 0.257481 loss_dfl: 0.177903 loss: 1.126237 eta: 0:55:25 batch_cost: 2.3132 data_cost: 0.0012 ips: 24.2085 images/s [10/18 11:54:37] ppdet.engine INFO: Epoch: [297] [180/523] learning_rate: 0.000077 loss_vfl: 0.666232 loss_bbox: 0.244121 loss_dfl: 0.174825 loss: 1.082055 eta: 0:54:38 batch_cost: 2.2968 data_cost: 0.0012 ips: 24.3821 images/s [10/18 11:55:27] ppdet.engine INFO: Epoch: [297] [200/523] learning_rate: 0.000075 loss_vfl: 0.679079 loss_bbox: 0.243059 loss_dfl: 0.178609 loss: 1.116227 eta: 0:53:51 batch_cost: 2.4043 data_cost: 0.0013 ips: 23.2917 images/s [10/18 11:56:16] ppdet.engine INFO: Epoch: [297] [220/523] learning_rate: 0.000073 loss_vfl: 0.687841 loss_bbox: 0.250383 loss_dfl: 0.170412 loss: 1.101421 eta: 0:53:04 batch_cost: 2.3128 data_cost: 0.0013 ips: 24.2128 images/s [10/18 11:57:05] ppdet.engine INFO: Epoch: [297] [240/523] learning_rate: 0.000071 loss_vfl: 0.670482 loss_bbox: 0.245905 loss_dfl: 0.172680 loss: 1.096524 eta: 0:52:16 batch_cost: 2.3786 data_cost: 0.0014 ips: 23.5433 images/s [10/18 11:57:55] ppdet.engine INFO: Epoch: [297] [260/523] learning_rate: 0.000069 loss_vfl: 0.672740 loss_bbox: 0.275162 loss_dfl: 0.188111 loss: 1.145499 eta: 0:51:29 batch_cost: 2.3654 data_cost: 0.0015 ips: 23.6742 images/s [10/18 11:58:43] ppdet.engine INFO: Epoch: [297] [280/523] learning_rate: 0.000067 loss_vfl: 0.679609 loss_bbox: 0.243171 loss_dfl: 0.168450 loss: 1.076266 eta: 0:50:42 batch_cost: 2.2946 data_cost: 0.0021 ips: 24.4046 images/s [10/18 11:59:33] ppdet.engine INFO: Epoch: [297] [300/523] learning_rate: 0.000065 loss_vfl: 0.704698 loss_bbox: 0.257288 loss_dfl: 0.176890 loss: 1.131124 eta: 0:49:55 batch_cost: 2.4232 data_cost: 0.0013 ips: 23.1100 images/s [10/18 12:00:23] ppdet.engine INFO: Epoch: [297] [320/523] learning_rate: 0.000063 loss_vfl: 0.678231 loss_bbox: 0.251777 loss_dfl: 0.177900 loss: 1.114527 eta: 0:49:08 batch_cost: 2.3772 data_cost: 0.0013 ips: 23.5575 images/s [10/18 12:01:11] ppdet.engine INFO: Epoch: [297] [340/523] learning_rate: 0.000061 loss_vfl: 0.672855 loss_bbox: 0.242846 loss_dfl: 0.178309 loss: 1.092762 eta: 0:48:20 batch_cost: 2.3103 data_cost: 0.0013 ips: 24.2391 images/s [10/18 12:02:00] ppdet.engine INFO: Epoch: [297] [360/523] learning_rate: 0.000059 loss_vfl: 0.674976 loss_bbox: 0.246804 loss_dfl: 0.176201 loss: 1.088586 eta: 0:47:33 batch_cost: 2.3179 data_cost: 0.0012 ips: 24.1593 images/s [10/18 12:02:49] ppdet.engine INFO: Epoch: [297] [380/523] learning_rate: 0.000057 loss_vfl: 0.684204 loss_bbox: 0.270775 loss_dfl: 0.188948 loss: 1.136990 eta: 0:46:46 batch_cost: 2.3618 data_cost: 0.0015 ips: 23.7111 images/s [10/18 12:03:38] ppdet.engine INFO: Epoch: [297] [400/523] learning_rate: 0.000055 loss_vfl: 0.671889 loss_bbox: 0.256506 loss_dfl: 0.181409 loss: 1.107049 eta: 0:45:59 batch_cost: 2.3529 data_cost: 0.0014 ips: 23.8004 images/s [10/18 12:04:29] ppdet.engine INFO: Epoch: [297] [420/523] learning_rate: 0.000053 loss_vfl: 0.681974 loss_bbox: 0.253843 loss_dfl: 0.175877 loss: 1.105794 eta: 0:45:12 batch_cost: 2.3915 data_cost: 0.0012 ips: 23.4163 images/s [10/18 12:05:19] ppdet.engine INFO: Epoch: [297] [440/523] learning_rate: 0.000051 loss_vfl: 0.681466 loss_bbox: 0.232631 loss_dfl: 0.170916 loss: 1.093926 eta: 0:44:24 batch_cost: 2.4062 data_cost: 0.0013 ips: 23.2733 images/s [10/18 12:06:10] ppdet.engine INFO: Epoch: [297] [460/523] learning_rate: 0.000049 loss_vfl: 0.670368 loss_bbox: 0.255925 loss_dfl: 0.177837 loss: 1.110761 eta: 0:43:37 batch_cost: 2.4390 data_cost: 0.0021 ips: 22.9606 images/s [10/18 12:07:00] ppdet.engine INFO: Epoch: [297] [480/523] learning_rate: 0.000048 loss_vfl: 0.684269 loss_bbox: 0.248607 loss_dfl: 0.174971 loss: 1.126656 eta: 0:42:50 batch_cost: 2.4146 data_cost: 0.0012 ips: 23.1921 images/s [10/18 12:07:49] ppdet.engine INFO: Epoch: [297] [500/523] learning_rate: 0.000046 loss_vfl: 0.682704 loss_bbox: 0.245033 loss_dfl: 0.176469 loss: 1.097775 eta: 0:42:03 batch_cost: 2.3637 data_cost: 0.0013 ips: 23.6915 images/s [10/18 12:08:33] ppdet.engine INFO: Epoch: [297] [520/523] learning_rate: 0.000044 loss_vfl: 0.684756 loss_bbox: 0.245286 loss_dfl: 0.174369 loss: 1.118954 eta: 0:41:16 batch_cost: 2.1066 data_cost: 0.0012 ips: 26.5831 images/s [10/18 12:09:06] ppdet.engine INFO: Epoch: [298] [ 0/523] learning_rate: 0.000044 loss_vfl: 0.684756 loss_bbox: 0.242162 loss_dfl: 0.174369 loss: 1.103733 eta: 0:41:09 batch_cost: 3.1361 data_cost: 0.7624 ips: 17.8567 images/s [10/18 12:09:58] ppdet.engine INFO: Epoch: [298] [ 20/523] learning_rate: 0.000042 loss_vfl: 0.670939 loss_bbox: 0.256364 loss_dfl: 0.172497 loss: 1.096097 eta: 0:40:21 batch_cost: 2.4648 data_cost: 0.0021 ips: 22.7198 images/s [10/18 12:10:49] ppdet.engine INFO: Epoch: [298] [ 40/523] learning_rate: 0.000041 loss_vfl: 0.671133 loss_bbox: 0.247002 loss_dfl: 0.176336 loss: 1.096802 eta: 0:39:34 batch_cost: 2.4312 data_cost: 0.0042 ips: 23.0340 images/s [10/18 12:11:40] ppdet.engine INFO: Epoch: [298] [ 60/523] learning_rate: 0.000039 loss_vfl: 0.665707 loss_bbox: 0.235114 loss_dfl: 0.179124 loss: 1.080663 eta: 0:38:47 batch_cost: 2.4634 data_cost: 0.0017 ips: 22.7332 images/s [10/18 12:12:30] ppdet.engine INFO: Epoch: [298] [ 80/523] learning_rate: 0.000037 loss_vfl: 0.678831 loss_bbox: 0.251361 loss_dfl: 0.174775 loss: 1.113464 eta: 0:38:00 batch_cost: 2.3608 data_cost: 0.0017 ips: 23.7207 images/s [10/18 12:13:21] ppdet.engine INFO: Epoch: [298] [100/523] learning_rate: 0.000036 loss_vfl: 0.670599 loss_bbox: 0.249121 loss_dfl: 0.173895 loss: 1.092770 eta: 0:37:13 batch_cost: 2.4327 data_cost: 0.0034 ips: 23.0198 images/s [10/18 12:14:13] ppdet.engine INFO: Epoch: [298] [120/523] learning_rate: 0.000034 loss_vfl: 0.677990 loss_bbox: 0.274212 loss_dfl: 0.181492 loss: 1.144196 eta: 0:36:25 batch_cost: 2.4749 data_cost: 0.0013 ips: 22.6268 images/s [10/18 12:15:03] ppdet.engine INFO: Epoch: [298] [140/523] learning_rate: 0.000033 loss_vfl: 0.686825 loss_bbox: 0.244322 loss_dfl: 0.171454 loss: 1.105604 eta: 0:35:38 batch_cost: 2.4222 data_cost: 0.0013 ips: 23.1193 images/s [10/18 12:15:51] ppdet.engine INFO: Epoch: [298] [160/523] learning_rate: 0.000031 loss_vfl: 0.684008 loss_bbox: 0.247313 loss_dfl: 0.178548 loss: 1.115531 eta: 0:34:51 batch_cost: 2.2957 data_cost: 0.0013 ips: 24.3931 images/s [10/18 12:16:40] ppdet.engine INFO: Epoch: [298] [180/523] learning_rate: 0.000030 loss_vfl: 0.678748 loss_bbox: 0.244385 loss_dfl: 0.180183 loss: 1.106143 eta: 0:34:04 batch_cost: 2.3194 data_cost: 0.0012 ips: 24.1440 images/s [10/18 12:17:29] ppdet.engine INFO: Epoch: [298] [200/523] learning_rate: 0.000029 loss_vfl: 0.682253 loss_bbox: 0.239126 loss_dfl: 0.173754 loss: 1.083479 eta: 0:33:17 batch_cost: 2.3481 data_cost: 0.0013 ips: 23.8493 images/s [10/18 12:18:18] ppdet.engine INFO: Epoch: [298] [220/523] learning_rate: 0.000027 loss_vfl: 0.682253 loss_bbox: 0.252295 loss_dfl: 0.175002 loss: 1.103308 eta: 0:32:29 batch_cost: 2.3899 data_cost: 0.0013 ips: 23.4322 images/s [10/18 12:19:09] ppdet.engine INFO: Epoch: [298] [240/523] learning_rate: 0.000026 loss_vfl: 0.671864 loss_bbox: 0.255738 loss_dfl: 0.183718 loss: 1.118783 eta: 0:31:42 batch_cost: 2.4031 data_cost: 0.0013 ips: 23.3029 images/s [10/18 12:19:58] ppdet.engine INFO: Epoch: [298] [260/523] learning_rate: 0.000025 loss_vfl: 0.677697 loss_bbox: 0.251676 loss_dfl: 0.181062 loss: 1.132877 eta: 0:30:55 batch_cost: 2.3590 data_cost: 0.0015 ips: 23.7385 images/s [10/18 12:20:48] ppdet.engine INFO: Epoch: [298] [280/523] learning_rate: 0.000024 loss_vfl: 0.700460 loss_bbox: 0.241154 loss_dfl: 0.178448 loss: 1.127902 eta: 0:30:08 batch_cost: 2.3990 data_cost: 0.0013 ips: 23.3429 images/s [10/18 12:21:38] ppdet.engine INFO: Epoch: [298] [300/523] learning_rate: 0.000022 loss_vfl: 0.697744 loss_bbox: 0.258582 loss_dfl: 0.176415 loss: 1.135708 eta: 0:29:21 batch_cost: 2.3804 data_cost: 0.0013 ips: 23.5252 images/s [10/18 12:22:28] ppdet.engine INFO: Epoch: [298] [320/523] learning_rate: 0.000021 loss_vfl: 0.703811 loss_bbox: 0.245139 loss_dfl: 0.173303 loss: 1.126753 eta: 0:28:33 batch_cost: 2.4025 data_cost: 0.0018 ips: 23.3094 images/s [10/18 12:23:18] ppdet.engine INFO: Epoch: [298] [340/523] learning_rate: 0.000020 loss_vfl: 0.695745 loss_bbox: 0.239525 loss_dfl: 0.174366 loss: 1.102338 eta: 0:27:46 batch_cost: 2.3989 data_cost: 0.0013 ips: 23.3443 images/s [10/18 12:24:06] ppdet.engine INFO: Epoch: [298] [360/523] learning_rate: 0.000019 loss_vfl: 0.691244 loss_bbox: 0.257034 loss_dfl: 0.180777 loss: 1.135576 eta: 0:26:59 batch_cost: 2.3045 data_cost: 0.0013 ips: 24.3003 images/s [10/18 12:24:56] ppdet.engine INFO: Epoch: [298] [380/523] learning_rate: 0.000018 loss_vfl: 0.681494 loss_bbox: 0.258780 loss_dfl: 0.183458 loss: 1.132226 eta: 0:26:12 batch_cost: 2.3688 data_cost: 0.0013 ips: 23.6410 images/s [10/18 12:25:45] ppdet.engine INFO: Epoch: [298] [400/523] learning_rate: 0.000017 loss_vfl: 0.670205 loss_bbox: 0.245945 loss_dfl: 0.175740 loss: 1.123878 eta: 0:25:24 batch_cost: 2.3506 data_cost: 0.0012 ips: 23.8240 images/s [10/18 12:26:34] ppdet.engine INFO: Epoch: [298] [420/523] learning_rate: 0.000016 loss_vfl: 0.664580 loss_bbox: 0.244454 loss_dfl: 0.168804 loss: 1.085056 eta: 0:24:37 batch_cost: 2.3201 data_cost: 0.0012 ips: 24.1364 images/s [10/18 12:27:23] ppdet.engine INFO: Epoch: [298] [440/523] learning_rate: 0.000015 loss_vfl: 0.677681 loss_bbox: 0.246475 loss_dfl: 0.173127 loss: 1.120031 eta: 0:23:50 batch_cost: 2.3847 data_cost: 0.0012 ips: 23.4835 images/s [10/18 12:28:13] ppdet.engine INFO: Epoch: [298] [460/523] learning_rate: 0.000014 loss_vfl: 0.698760 loss_bbox: 0.246344 loss_dfl: 0.172862 loss: 1.113954 eta: 0:23:03 batch_cost: 2.3846 data_cost: 0.0012 ips: 23.4836 images/s [10/18 12:29:02] ppdet.engine INFO: Epoch: [298] [480/523] learning_rate: 0.000013 loss_vfl: 0.680561 loss_bbox: 0.265265 loss_dfl: 0.180734 loss: 1.125761 eta: 0:22:16 batch_cost: 2.3273 data_cost: 0.0012 ips: 24.0620 images/s [10/18 12:29:51] ppdet.engine INFO: Epoch: [298] [500/523] learning_rate: 0.000012 loss_vfl: 0.664535 loss_bbox: 0.251880 loss_dfl: 0.174964 loss: 1.109493 eta: 0:21:28 batch_cost: 2.3633 data_cost: 0.0013 ips: 23.6961 images/s [10/18 12:30:35] ppdet.engine INFO: Epoch: [298] [520/523] learning_rate: 0.000011 loss_vfl: 0.688037 loss_bbox: 0.250656 loss_dfl: 0.175562 loss: 1.118105 eta: 0:20:41 batch_cost: 2.0795 data_cost: 0.0013 ips: 26.9296 images/s [10/18 12:31:06] ppdet.engine INFO: Epoch: [299] [ 0/523] learning_rate: 0.000011 loss_vfl: 0.693233 loss_bbox: 0.252666 loss_dfl: 0.175562 loss: 1.124624 eta: 0:20:34 batch_cost: 3.0223 data_cost: 0.6683 ips: 18.5290 images/s [10/18 12:31:56] ppdet.engine INFO: Epoch: [299] [ 20/523] learning_rate: 0.000010 loss_vfl: 0.676485 loss_bbox: 0.263720 loss_dfl: 0.179933 loss: 1.120432 eta: 0:19:47 batch_cost: 2.4227 data_cost: 0.0013 ips: 23.1144 images/s [10/18 12:32:47] ppdet.engine INFO: Epoch: [299] [ 40/523] learning_rate: 0.000009 loss_vfl: 0.670022 loss_bbox: 0.267579 loss_dfl: 0.186700 loss: 1.122743 eta: 0:19:00 batch_cost: 2.4492 data_cost: 0.0054 ips: 22.8647 images/s [10/18 12:33:36] ppdet.engine INFO: Epoch: [299] [ 60/523] learning_rate: 0.000009 loss_vfl: 0.672950 loss_bbox: 0.261500 loss_dfl: 0.183559 loss: 1.122041 eta: 0:18:13 batch_cost: 2.3475 data_cost: 0.0013 ips: 23.8550 images/s [10/18 12:34:27] ppdet.engine INFO: Epoch: [299] [ 80/523] learning_rate: 0.000008 loss_vfl: 0.677924 loss_bbox: 0.239418 loss_dfl: 0.174513 loss: 1.091440 eta: 0:17:25 batch_cost: 2.4228 data_cost: 0.0012 ips: 23.1133 images/s [10/18 12:35:17] ppdet.engine INFO: Epoch: [299] [100/523] learning_rate: 0.000007 loss_vfl: 0.684829 loss_bbox: 0.262160 loss_dfl: 0.183892 loss: 1.128380 eta: 0:16:38 batch_cost: 2.3987 data_cost: 0.0012 ips: 23.3456 images/s [10/18 12:36:08] ppdet.engine INFO: Epoch: [299] [120/523] learning_rate: 0.000007 loss_vfl: 0.688757 loss_bbox: 0.232548 loss_dfl: 0.165785 loss: 1.099810 eta: 0:15:51 batch_cost: 2.4233 data_cost: 0.0014 ips: 23.1086 images/s [10/18 12:36:58] ppdet.engine INFO: Epoch: [299] [140/523] learning_rate: 0.000006 loss_vfl: 0.668064 loss_bbox: 0.246076 loss_dfl: 0.172902 loss: 1.096367 eta: 0:15:04 batch_cost: 2.3759 data_cost: 0.0037 ips: 23.5705 images/s [10/18 12:37:47] ppdet.engine INFO: Epoch: [299] [160/523] learning_rate: 0.000005 loss_vfl: 0.676268 loss_bbox: 0.252907 loss_dfl: 0.177049 loss: 1.116892 eta: 0:14:16 batch_cost: 2.3766 data_cost: 0.0049 ips: 23.5632 images/s [10/18 12:38:37] ppdet.engine INFO: Epoch: [299] [180/523] learning_rate: 0.000005 loss_vfl: 0.688222 loss_bbox: 0.244242 loss_dfl: 0.168918 loss: 1.112087 eta: 0:13:29 batch_cost: 2.3604 data_cost: 0.0012 ips: 23.7247 images/s [10/18 12:39:25] ppdet.engine INFO: Epoch: [299] [200/523] learning_rate: 0.000004 loss_vfl: 0.694713 loss_bbox: 0.245437 loss_dfl: 0.173158 loss: 1.106915 eta: 0:12:42 batch_cost: 2.3269 data_cost: 0.0013 ips: 24.0663 images/s [10/18 12:40:14] ppdet.engine INFO: Epoch: [299] [220/523] learning_rate: 0.000004 loss_vfl: 0.679446 loss_bbox: 0.257738 loss_dfl: 0.183950 loss: 1.107659 eta: 0:11:55 batch_cost: 2.3222 data_cost: 0.0027 ips: 24.1150 images/s [10/18 12:41:03] ppdet.engine INFO: Epoch: [299] [240/523] learning_rate: 0.000003 loss_vfl: 0.696414 loss_bbox: 0.248725 loss_dfl: 0.175920 loss: 1.118962 eta: 0:11:08 batch_cost: 2.3470 data_cost: 0.0013 ips: 23.8598 images/s [10/18 12:41:50] ppdet.engine INFO: Epoch: [299] [260/523] learning_rate: 0.000003 loss_vfl: 0.685046 loss_bbox: 0.241774 loss_dfl: 0.168810 loss: 1.092146 eta: 0:10:20 batch_cost: 2.2778 data_cost: 0.0012 ips: 24.5856 images/s [10/18 12:42:41] ppdet.engine INFO: Epoch: [299] [280/523] learning_rate: 0.000002 loss_vfl: 0.665726 loss_bbox: 0.234734 loss_dfl: 0.167909 loss: 1.097924 eta: 0:09:33 batch_cost: 2.4243 data_cost: 0.0012 ips: 23.0998 images/s [10/18 12:43:31] ppdet.engine INFO: Epoch: [299] [300/523] learning_rate: 0.000002 loss_vfl: 0.690918 loss_bbox: 0.252836 loss_dfl: 0.176641 loss: 1.115373 eta: 0:08:46 batch_cost: 2.3871 data_cost: 0.0012 ips: 23.4591 images/s [10/18 12:44:20] ppdet.engine INFO: Epoch: [299] [320/523] learning_rate: 0.000002 loss_vfl: 0.683988 loss_bbox: 0.253210 loss_dfl: 0.174831 loss: 1.106980 eta: 0:07:59 batch_cost: 2.3471 data_cost: 0.0013 ips: 23.8592 images/s [10/18 12:45:10] ppdet.engine INFO: Epoch: [299] [340/523] learning_rate: 0.000001 loss_vfl: 0.672964 loss_bbox: 0.264710 loss_dfl: 0.182357 loss: 1.116878 eta: 0:07:12 batch_cost: 2.3871 data_cost: 0.0016 ips: 23.4597 images/s [10/18 12:46:00] ppdet.engine INFO: Epoch: [299] [360/523] learning_rate: 0.000001 loss_vfl: 0.693373 loss_bbox: 0.247300 loss_dfl: 0.172933 loss: 1.103781 eta: 0:06:24 batch_cost: 2.4313 data_cost: 0.0012 ips: 23.0334 images/s [10/18 12:46:48] ppdet.engine INFO: Epoch: [299] [380/523] learning_rate: 0.000001 loss_vfl: 0.676998 loss_bbox: 0.250008 loss_dfl: 0.168746 loss: 1.082748 eta: 0:05:37 batch_cost: 2.2792 data_cost: 0.0013 ips: 24.5703 images/s [10/18 12:47:37] ppdet.engine INFO: Epoch: [299] [400/523] learning_rate: 0.000001 loss_vfl: 0.674361 loss_bbox: 0.250465 loss_dfl: 0.176031 loss: 1.090437 eta: 0:04:50 batch_cost: 2.3393 data_cost: 0.0019 ips: 23.9389 images/s INFO 2021-10-18 12:57:16,181 launch.py:268] Local processes completed. [10/18 12:48:27] ppdet.engine INFO: Epoch: [299] [420/523] learning_rate: 0.000000 loss_vfl: 0.695290 loss_bbox: 0.238920 loss_dfl: 0.172362 loss: 1.106401 eta: 0:04:03 batch_cost: 2.4178 data_cost: 0.0034 ips: 23.1619 images/s [10/18 12:49:20] ppdet.engine INFO: Epoch: [299] [440/523] learning_rate: 0.000000 loss_vfl: 0.682279 loss_bbox: 0.235476 loss_dfl: 0.169534 loss: 1.084921 eta: 0:03:15 batch_cost: 2.5327 data_cost: 0.0013 ips: 22.1110 images/s [10/18 12:50:11] ppdet.engine INFO: Epoch: [299] [460/523] learning_rate: 0.000000 loss_vfl: 0.675560 loss_bbox: 0.260893 loss_dfl: 0.181104 loss: 1.120861 eta: 0:02:28 batch_cost: 2.4511 data_cost: 0.0014 ips: 22.8470 images/s [10/18 12:51:00] ppdet.engine INFO: Epoch: [299] [480/523] learning_rate: 0.000000 loss_vfl: 0.681641 loss_bbox: 0.255403 loss_dfl: 0.173487 loss: 1.121821 eta: 0:01:41 batch_cost: 2.3372 data_cost: 0.0019 ips: 23.9602 images/s [10/18 12:51:51] ppdet.engine INFO: Epoch: [299] [500/523] learning_rate: 0.000000 loss_vfl: 0.691281 loss_bbox: 0.244946 loss_dfl: 0.170440 loss: 1.087150 eta: 0:00:54 batch_cost: 2.4305 data_cost: 0.0013 ips: 23.0406 images/s [10/18 12:52:35] ppdet.engine INFO: Epoch: [299] [520/523] learning_rate: 0.000000 loss_vfl: 0.672560 loss_bbox: 0.251880 loss_dfl: 0.168974 loss: 1.114866 eta: 0:00:07 batch_cost: 2.0925 data_cost: 0.0012 ips: 26.7620 images/s [10/18 12:52:42] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_lcnet_1_5x_416_coco [10/18 12:52:42] ppdet.engine INFO: Eval iter: 0 [10/18 12:53:12] ppdet.engine INFO: Eval iter: 100 [10/18 12:53:31] ppdet.engine INFO: Eval iter: 200 [10/18 12:53:49] ppdet.engine INFO: Eval iter: 300 [10/18 12:54:07] ppdet.engine INFO: Eval iter: 400 [10/18 12:54:26] ppdet.engine INFO: Eval iter: 500 [10/18 12:54:44] ppdet.engine INFO: Eval iter: 600 [10/18 12:55:04] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.01s) creating index... index created! [10/18 12:55:05] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.85s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.67s). Accumulating evaluation results... DONE (t=18.01s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.357 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.516 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.376 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.142 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 ] = 0.559 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.302 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.478 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.241 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.575 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.733 [10/18 12:57:09] ppdet.engine INFO: Total sample number: 5000, averge FPS: 39.02542318505893 [10/18 12:57:09] ppdet.engine INFO: Best test bbox ap is 0.363. ERROR:root:DataLoader reader thread raised an exception! Exception in thread Thread-332: Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py", line 462, in _get_data data = self._data_queue.get(timeout=self._timeout) File "/usr/local/lib/python3.7/multiprocessing/queues.py", line 105, in get raise Empty _queue.Empty During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.7/threading.py", line 917, in _bootstrap_inner self.run() File "/usr/local/lib/python3.7/threading.py", line 865, in run self._target(*self._args, **self._kwargs) File "/usr/local/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py", line 391, in _thread_loop batch = self._get_data() File "/usr/local/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py", line 478, in _get_data "pids: {}".format(len(failed_workers), pids)) RuntimeError: DataLoader 8 workers exit unexpectedly, pids: 26178, 26179, 26180, 26181, 26182, 26183, 26184, 26185