/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 10:07:23,726 launch.py:359] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode INFO 2021-10-13 10:07:23,727 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 10:07:23,729 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 127.0.0.1:60009 | | PADDLE_TRAINERS_NUM 4 | | PADDLE_TRAINER_ENDPOINTS ... 0.1:60010,127.0.0.1:60011,127.0.0.1:60012| | 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 10:07:23,729 launch_utils.py:514] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0 ----------- Configuration Arguments ----------- gpus: 0,1,2,3 heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None run_mode: None server_num: None servers: training_script: tools/train.py training_script_args: ['-c', 'configs/picodet/picodet_s_416_coco.yml', '--eval'] worker_num: None workers: ------------------------------------------------ launch train in GPU mode! launch proc_id:2693 idx:0 launch proc_id:2696 idx:1 launch proc_id:2699 idx:2 launch proc_id:2702 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 10:07:27.350356 2693 gen_comm_id_helper.cc:120] connect addr=127.0.0.1:60010 failed 1 times with reason: Connection refused retry after 0.5 seconds I1013 10:07:27.850853 2693 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 W1013 10:07:28.349232 2693 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.1 W1013 10:07:28.349464 2693 device_context.cc:422] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=19.66s) creating index... index created! [10/13 10:08:00] 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 10:08:14] ppdet.data.source.coco WARNING: Found an invalid bbox in annotations: im_id: 550395, area: 0.0 x1: 9.98, y1: 188.56, x2: 15.52, y2: 188.56. [10/13 10:08:20] ppdet.utils.checkpoint INFO: ['_fc.bias', '_fc.weight', '_last_conv._batch_norm._mean', '_last_conv._batch_norm._variance', '_last_conv._batch_norm.bias', '_last_conv._batch_norm.weight', '_last_conv._conv.weight', 'last_conv.weight'] in pretrained weight is not used in the model, and its will not be loaded [10/13 10:08:20] ppdet.utils.checkpoint INFO: Finish loading model weights: shufflenetv2_s_pretrained_arch_89.pdparams [10/13 10:08:39] ppdet.engine INFO: Epoch: [0] [ 0/366] learning_rate: 0.040000 loss_vfl: 1.210380 loss_bbox: 1.200396 loss_dfl: 0.568320 loss: 2.979097 eta: 24 days, 6:20:42 batch_cost: 19.0933 data_cost: 9.2998 ips: 4.1900 images/s [10/13 10:09:36] ppdet.engine INFO: Epoch: [0] [ 20/366] learning_rate: 0.064000 loss_vfl: 1.180538 loss_bbox: 0.959626 loss_dfl: 0.447168 loss: 2.593888 eta: 4 days, 11:12:03 batch_cost: 2.7365 data_cost: 0.0016 ips: 29.2341 images/s [10/13 10:10:33] ppdet.engine INFO: Epoch: [0] [ 40/366] learning_rate: 0.088000 loss_vfl: 1.139125 loss_bbox: 0.863030 loss_dfl: 0.406442 loss: 2.434438 eta: 3 days, 23:18:03 batch_cost: 2.7166 data_cost: 0.0015 ips: 29.4485 images/s [10/13 10:11:29] ppdet.engine INFO: Epoch: [0] [ 60/366] learning_rate: 0.112000 loss_vfl: 1.121666 loss_bbox: 0.817943 loss_dfl: 0.386019 loss: 2.315113 eta: 3 days, 18:19:33 batch_cost: 2.6297 data_cost: 0.0015 ips: 30.4213 images/s [10/13 10:12:25] ppdet.engine INFO: Epoch: [0] [ 80/366] learning_rate: 0.136000 loss_vfl: 1.151618 loss_bbox: 0.739204 loss_dfl: 0.364777 loss: 2.269981 eta: 3 days, 16:02:24 batch_cost: 2.6616 data_cost: 0.0015 ips: 30.0575 images/s [10/13 10:13:22] ppdet.engine INFO: Epoch: [0] [100/366] learning_rate: 0.160000 loss_vfl: 1.176696 loss_bbox: 0.664388 loss_dfl: 0.339721 loss: 2.185451 eta: 3 days, 14:56:11 batch_cost: 2.7084 data_cost: 0.0015 ips: 29.5377 images/s [10/13 10:14:18] ppdet.engine INFO: Epoch: [0] [120/366] learning_rate: 0.184000 loss_vfl: 1.173870 loss_bbox: 0.593645 loss_dfl: 0.305784 loss: 2.074211 eta: 3 days, 14:01:24 batch_cost: 2.6748 data_cost: 0.0015 ips: 29.9083 images/s [10/13 10:15:16] ppdet.engine INFO: Epoch: [0] [140/366] learning_rate: 0.208000 loss_vfl: 1.219935 loss_bbox: 0.564187 loss_dfl: 0.298614 loss: 2.081261 eta: 3 days, 13:47:11 batch_cost: 2.7723 data_cost: 0.0015 ips: 28.8569 images/s [10/13 10:16:13] ppdet.engine INFO: Epoch: [0] [160/366] learning_rate: 0.232000 loss_vfl: 1.234069 loss_bbox: 0.601104 loss_dfl: 0.310234 loss: 2.145772 eta: 3 days, 13:17:37 batch_cost: 2.6902 data_cost: 0.0015 ips: 29.7379 images/s [10/13 10:17:09] ppdet.engine INFO: Epoch: [0] [180/366] learning_rate: 0.256000 loss_vfl: 1.220033 loss_bbox: 0.553910 loss_dfl: 0.288507 loss: 2.072192 eta: 3 days, 12:50:11 batch_cost: 2.6693 data_cost: 0.0016 ips: 29.9703 images/s [10/13 10:18:08] ppdet.engine INFO: Epoch: [0] [200/366] learning_rate: 0.280000 loss_vfl: 1.213944 loss_bbox: 0.519719 loss_dfl: 0.284178 loss: 1.992987 eta: 3 days, 12:49:56 batch_cost: 2.7898 data_cost: 0.0016 ips: 28.6760 images/s [10/13 10:19:05] ppdet.engine INFO: Epoch: [0] [220/366] learning_rate: 0.304000 loss_vfl: 1.200318 loss_bbox: 0.586841 loss_dfl: 0.298615 loss: 2.073529 eta: 3 days, 12:35:16 batch_cost: 2.7033 data_cost: 0.0015 ips: 29.5930 images/s [10/13 10:20:00] ppdet.engine INFO: Epoch: [0] [240/366] learning_rate: 0.328000 loss_vfl: 1.205254 loss_bbox: 0.520688 loss_dfl: 0.278601 loss: 1.990524 eta: 3 days, 12:13:03 batch_cost: 2.6385 data_cost: 0.0015 ips: 30.3207 images/s [10/13 10:20:56] ppdet.engine INFO: Epoch: [0] [260/366] learning_rate: 0.352000 loss_vfl: 1.176747 loss_bbox: 0.516708 loss_dfl: 0.272032 loss: 1.959270 eta: 3 days, 11:57:31 batch_cost: 2.6628 data_cost: 0.0015 ips: 30.0432 images/s [10/13 10:21:54] ppdet.engine INFO: Epoch: [0] [280/366] learning_rate: 0.376000 loss_vfl: 1.193094 loss_bbox: 0.507491 loss_dfl: 0.270776 loss: 1.984082 eta: 3 days, 11:58:25 batch_cost: 2.7733 data_cost: 0.0015 ips: 28.8461 images/s [10/13 10:22:53] ppdet.engine INFO: Epoch: [0] [300/366] learning_rate: 0.399993 loss_vfl: 1.185720 loss_bbox: 0.475514 loss_dfl: 0.248460 loss: 1.900055 eta: 3 days, 12:01:50 batch_cost: 2.7960 data_cost: 0.0017 ips: 28.6120 images/s [10/13 10:23:50] ppdet.engine INFO: Epoch: [0] [320/366] learning_rate: 0.399992 loss_vfl: 1.189195 loss_bbox: 0.469232 loss_dfl: 0.253590 loss: 1.907102 eta: 3 days, 11:52:28 batch_cost: 2.6884 data_cost: 0.0016 ips: 29.7579 images/s [10/13 10:24:48] ppdet.engine INFO: Epoch: [0] [340/366] learning_rate: 0.399991 loss_vfl: 1.191735 loss_bbox: 0.482360 loss_dfl: 0.262056 loss: 1.907512 eta: 3 days, 11:51:59 batch_cost: 2.7620 data_cost: 0.0016 ips: 28.9642 images/s [10/13 10:25:40] ppdet.engine INFO: Epoch: [0] [360/366] learning_rate: 0.399989 loss_vfl: 1.160011 loss_bbox: 0.465903 loss_dfl: 0.252383 loss: 1.878118 eta: 3 days, 11:20:44 batch_cost: 2.4582 data_cost: 0.0016 ips: 32.5448 images/s [10/13 10:26:14] ppdet.engine INFO: Epoch: [1] [ 0/366] learning_rate: 0.399989 loss_vfl: 1.158653 loss_bbox: 0.462175 loss_dfl: 0.252383 loss: 1.890073 eta: 3 days, 12:30:45 batch_cost: 3.1495 data_cost: 0.2268 ips: 25.4010 images/s [10/13 10:27:16] ppdet.engine INFO: Epoch: [1] [ 20/366] learning_rate: 0.399988 loss_vfl: 1.147232 loss_bbox: 0.463388 loss_dfl: 0.253405 loss: 1.874376 eta: 3 days, 12:40:20 batch_cost: 2.8918 data_cost: 0.0021 ips: 27.6644 images/s [10/13 10:28:15] ppdet.engine INFO: Epoch: [1] [ 40/366] learning_rate: 0.399987 loss_vfl: 1.173360 loss_bbox: 0.434381 loss_dfl: 0.240019 loss: 1.861803 eta: 3 days, 12:39:56 batch_cost: 2.7919 data_cost: 0.0016 ips: 28.6547 images/s [10/13 10:29:13] ppdet.engine INFO: Epoch: [1] [ 60/366] learning_rate: 0.399985 loss_vfl: 1.156061 loss_bbox: 0.451017 loss_dfl: 0.253924 loss: 1.861112 eta: 3 days, 12:34:07 batch_cost: 2.7289 data_cost: 0.0017 ips: 29.3156 images/s [10/13 10:30:11] ppdet.engine INFO: Epoch: [1] [ 80/366] learning_rate: 0.399984 loss_vfl: 1.140020 loss_bbox: 0.465982 loss_dfl: 0.254081 loss: 1.883251 eta: 3 days, 12:31:35 batch_cost: 2.7639 data_cost: 0.0016 ips: 28.9451 images/s [10/13 10:31:09] ppdet.engine INFO: Epoch: [1] [100/366] learning_rate: 0.399982 loss_vfl: 1.164209 loss_bbox: 0.457316 loss_dfl: 0.248927 loss: 1.863608 eta: 3 days, 12:28:46 batch_cost: 2.7584 data_cost: 0.0016 ips: 29.0020 images/s [10/13 10:32:07] ppdet.engine INFO: Epoch: [1] [120/366] learning_rate: 0.399981 loss_vfl: 1.144894 loss_bbox: 0.456190 loss_dfl: 0.244610 loss: 1.847992 eta: 3 days, 12:24:11 batch_cost: 2.7328 data_cost: 0.0017 ips: 29.2740 images/s [10/13 10:33:04] ppdet.engine INFO: Epoch: [1] [140/366] learning_rate: 0.399979 loss_vfl: 1.157728 loss_bbox: 0.437957 loss_dfl: 0.244813 loss: 1.844581 eta: 3 days, 12:20:56 batch_cost: 2.7472 data_cost: 0.0015 ips: 29.1201 images/s [10/13 10:34:02] ppdet.engine INFO: Epoch: [1] [160/366] learning_rate: 0.399977 loss_vfl: 1.119139 loss_bbox: 0.490168 loss_dfl: 0.264520 loss: 1.897379 eta: 3 days, 12:18:18 batch_cost: 2.7536 data_cost: 0.0015 ips: 29.0529 images/s [10/13 10:35:00] ppdet.engine INFO: Epoch: [1] [180/366] learning_rate: 0.399976 loss_vfl: 1.108111 loss_bbox: 0.456143 loss_dfl: 0.253699 loss: 1.856648 eta: 3 days, 12:12:59 batch_cost: 2.7116 data_cost: 0.0017 ips: 29.5034 images/s [10/13 10:35:57] ppdet.engine INFO: Epoch: [1] [200/366] learning_rate: 0.399974 loss_vfl: 1.108906 loss_bbox: 0.434451 loss_dfl: 0.239109 loss: 1.777150 eta: 3 days, 12:09:39 batch_cost: 2.7374 data_cost: 0.0016 ips: 29.2249 images/s [10/13 10:36:55] ppdet.engine INFO: Epoch: [1] [220/366] learning_rate: 0.399972 loss_vfl: 1.116358 loss_bbox: 0.441083 loss_dfl: 0.240353 loss: 1.803737 eta: 3 days, 12:07:54 batch_cost: 2.7604 data_cost: 0.0016 ips: 28.9815 images/s [10/13 10:37:52] ppdet.engine INFO: Epoch: [1] [240/366] learning_rate: 0.399970 loss_vfl: 1.122523 loss_bbox: 0.468579 loss_dfl: 0.243034 loss: 1.834253 eta: 3 days, 12:01:13 batch_cost: 2.6771 data_cost: 0.0015 ips: 29.8828 images/s [10/13 10:38:49] ppdet.engine INFO: Epoch: [1] [260/366] learning_rate: 0.399968 loss_vfl: 1.119579 loss_bbox: 0.465822 loss_dfl: 0.247282 loss: 1.825102 eta: 3 days, 11:56:35 batch_cost: 2.7063 data_cost: 0.0015 ips: 29.5603 images/s [10/13 10:39:47] ppdet.engine INFO: Epoch: [1] [280/366] learning_rate: 0.399966 loss_vfl: 1.108921 loss_bbox: 0.434220 loss_dfl: 0.236409 loss: 1.797303 eta: 3 days, 11:56:01 batch_cost: 2.7743 data_cost: 0.0017 ips: 28.8356 images/s [10/13 10:40:44] ppdet.engine INFO: Epoch: [1] [300/366] learning_rate: 0.399964 loss_vfl: 1.116762 loss_bbox: 0.450888 loss_dfl: 0.251974 loss: 1.807318 eta: 3 days, 11:50:45 batch_cost: 2.6886 data_cost: 0.0016 ips: 29.7555 images/s [10/13 10:41:42] ppdet.engine INFO: Epoch: [1] [320/366] learning_rate: 0.399961 loss_vfl: 1.107032 loss_bbox: 0.432975 loss_dfl: 0.236522 loss: 1.786305 eta: 3 days, 11:50:20 batch_cost: 2.7753 data_cost: 0.0015 ips: 28.8256 images/s [10/13 10:42:42] ppdet.engine INFO: Epoch: [1] [340/366] learning_rate: 0.399959 loss_vfl: 1.104038 loss_bbox: 0.437732 loss_dfl: 0.242568 loss: 1.782971 eta: 3 days, 11:53:11 batch_cost: 2.8393 data_cost: 0.0017 ips: 28.1755 images/s [10/13 10:43:35] ppdet.engine INFO: Epoch: [1] [360/366] learning_rate: 0.399957 loss_vfl: 1.104680 loss_bbox: 0.435960 loss_dfl: 0.238745 loss: 1.782441 eta: 3 days, 11:39:38 batch_cost: 2.5158 data_cost: 0.0016 ips: 31.7989 images/s [10/13 10:44:11] ppdet.engine INFO: Epoch: [2] [ 0/366] learning_rate: 0.399956 loss_vfl: 1.117518 loss_bbox: 0.429727 loss_dfl: 0.233017 loss: 1.781922 eta: 3 days, 12:20:10 batch_cost: 3.3334 data_cost: 0.5353 ips: 23.9996 images/s [10/13 10:45:09] ppdet.engine INFO: Epoch: [2] [ 20/366] learning_rate: 0.399954 loss_vfl: 1.114870 loss_bbox: 0.461172 loss_dfl: 0.248012 loss: 1.827132 eta: 3 days, 12:17:51 batch_cost: 2.7551 data_cost: 0.0017 ips: 29.0370 images/s [10/13 10:46:09] ppdet.engine INFO: Epoch: [2] [ 40/366] learning_rate: 0.399951 loss_vfl: 1.107420 loss_bbox: 0.418885 loss_dfl: 0.231242 loss: 1.759342 eta: 3 days, 12:18:17 batch_cost: 2.8117 data_cost: 0.0020 ips: 28.4530 images/s [10/13 10:47:06] ppdet.engine INFO: Epoch: [2] [ 60/366] learning_rate: 0.399949 loss_vfl: 1.090181 loss_bbox: 0.396379 loss_dfl: 0.225289 loss: 1.741534 eta: 3 days, 12:14:14 batch_cost: 2.7159 data_cost: 0.0022 ips: 29.4566 images/s [10/13 10:48:04] ppdet.engine INFO: Epoch: [2] [ 80/366] learning_rate: 0.399946 loss_vfl: 1.090376 loss_bbox: 0.413374 loss_dfl: 0.228789 loss: 1.758553 eta: 3 days, 12:12:50 batch_cost: 2.7713 data_cost: 0.0019 ips: 28.8668 images/s [10/13 10:49:04] ppdet.engine INFO: Epoch: [2] [100/366] learning_rate: 0.399943 loss_vfl: 1.096968 loss_bbox: 0.418348 loss_dfl: 0.235317 loss: 1.759684 eta: 3 days, 12:13:34 batch_cost: 2.8197 data_cost: 0.0016 ips: 28.3721 images/s [10/13 10:50:01] ppdet.engine INFO: Epoch: [2] [120/366] learning_rate: 0.399941 loss_vfl: 1.089988 loss_bbox: 0.418898 loss_dfl: 0.233517 loss: 1.752603 eta: 3 days, 12:10:27 batch_cost: 2.7311 data_cost: 0.0016 ips: 29.2922 images/s [10/13 10:50:59] ppdet.engine INFO: Epoch: [2] [140/366] learning_rate: 0.399938 loss_vfl: 1.078851 loss_bbox: 0.441784 loss_dfl: 0.242619 loss: 1.752584 eta: 3 days, 12:07:06 batch_cost: 2.7233 data_cost: 0.0015 ips: 29.3758 images/s [10/13 10:51:57] ppdet.engine INFO: Epoch: [2] [160/366] learning_rate: 0.399935 loss_vfl: 1.085461 loss_bbox: 0.436324 loss_dfl: 0.234234 loss: 1.764001 eta: 3 days, 12:06:28 batch_cost: 2.7870 data_cost: 0.0016 ips: 28.7042 images/s [10/13 10:52:55] ppdet.engine INFO: Epoch: [2] [180/366] learning_rate: 0.399932 loss_vfl: 1.080546 loss_bbox: 0.450294 loss_dfl: 0.250629 loss: 1.776199 eta: 3 days, 12:03:41 batch_cost: 2.7336 data_cost: 0.0016 ips: 29.2657 images/s [10/13 10:53:52] ppdet.engine INFO: Epoch: [2] [200/366] learning_rate: 0.399929 loss_vfl: 1.073203 loss_bbox: 0.433115 loss_dfl: 0.245788 loss: 1.768495 eta: 3 days, 11:59:46 batch_cost: 2.7022 data_cost: 0.0015 ips: 29.6059 images/s [10/13 10:54:51] ppdet.engine INFO: Epoch: [2] [220/366] learning_rate: 0.399926 loss_vfl: 1.077768 loss_bbox: 0.428996 loss_dfl: 0.241367 loss: 1.734864 eta: 3 days, 11:59:33 batch_cost: 2.7963 data_cost: 0.0015 ips: 28.6091 images/s [10/13 10:55:49] ppdet.engine INFO: Epoch: [2] [240/366] learning_rate: 0.399923 loss_vfl: 1.051021 loss_bbox: 0.444297 loss_dfl: 0.240711 loss: 1.734958 eta: 3 days, 11:57:35 batch_cost: 2.7500 data_cost: 0.0016 ips: 29.0907 images/s [10/13 10:56:47] ppdet.engine INFO: Epoch: [2] [260/366] learning_rate: 0.399919 loss_vfl: 1.099475 loss_bbox: 0.399831 loss_dfl: 0.231793 loss: 1.745520 eta: 3 days, 11:57:04 batch_cost: 2.7885 data_cost: 0.0016 ips: 28.6892 images/s [10/13 10:57:47] ppdet.engine INFO: Epoch: [2] [280/366] learning_rate: 0.399916 loss_vfl: 1.093750 loss_bbox: 0.412836 loss_dfl: 0.226043 loss: 1.731374 eta: 3 days, 11:56:21 batch_cost: 2.7834 data_cost: 0.0015 ips: 28.7415 images/s [10/13 10:58:45] ppdet.engine INFO: Epoch: [2] [300/366] learning_rate: 0.399913 loss_vfl: 1.070055 loss_bbox: 0.415761 loss_dfl: 0.229284 loss: 1.719197 eta: 3 days, 11:55:41 batch_cost: 2.7852 data_cost: 0.0015 ips: 28.7234 images/s [10/13 10:59:43] ppdet.engine INFO: Epoch: [2] [320/366] learning_rate: 0.399909 loss_vfl: 1.082404 loss_bbox: 0.408649 loss_dfl: 0.228847 loss: 1.726337 eta: 3 days, 11:54:01 batch_cost: 2.7564 data_cost: 0.0016 ips: 29.0229 images/s [10/13 11:00:42] ppdet.engine INFO: Epoch: [2] [340/366] learning_rate: 0.399906 loss_vfl: 1.067430 loss_bbox: 0.419576 loss_dfl: 0.232147 loss: 1.726869 eta: 3 days, 11:53:00 batch_cost: 2.7749 data_cost: 0.0016 ips: 28.8299 images/s [10/13 11:01:36] ppdet.engine INFO: Epoch: [2] [360/366] learning_rate: 0.399902 loss_vfl: 1.073716 loss_bbox: 0.420018 loss_dfl: 0.231777 loss: 1.696939 eta: 3 days, 11:45:03 batch_cost: 2.5655 data_cost: 0.0015 ips: 31.1831 images/s [10/13 11:02:09] ppdet.engine INFO: Epoch: [3] [ 0/366] learning_rate: 0.399901 loss_vfl: 1.077585 loss_bbox: 0.420134 loss_dfl: 0.234675 loss: 1.727244 eta: 3 days, 12:05:15 batch_cost: 3.1404 data_cost: 0.3403 ips: 25.4744 images/s [10/13 11:03:10] ppdet.engine INFO: Epoch: [3] [ 20/366] learning_rate: 0.399898 loss_vfl: 1.087444 loss_bbox: 0.432080 loss_dfl: 0.240408 loss: 1.745291 eta: 3 days, 12:07:22 batch_cost: 2.8788 data_cost: 0.0016 ips: 27.7893 images/s [10/13 11:04:08] ppdet.engine INFO: Epoch: [3] [ 40/366] learning_rate: 0.399894 loss_vfl: 1.048559 loss_bbox: 0.420331 loss_dfl: 0.234538 loss: 1.706241 eta: 3 days, 12:04:10 batch_cost: 2.7150 data_cost: 0.0016 ips: 29.4662 images/s [10/13 11:05:04] ppdet.engine INFO: Epoch: [3] [ 60/366] learning_rate: 0.399890 loss_vfl: 1.056466 loss_bbox: 0.416650 loss_dfl: 0.234824 loss: 1.716880 eta: 3 days, 12:00:00 batch_cost: 2.6820 data_cost: 0.0015 ips: 29.8289 images/s [10/13 11:06:03] ppdet.engine INFO: Epoch: [3] [ 80/366] learning_rate: 0.399886 loss_vfl: 1.061910 loss_bbox: 0.416082 loss_dfl: 0.234313 loss: 1.714076 eta: 3 days, 11:58:34 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9155 images/s [10/13 11:07:01] ppdet.engine INFO: Epoch: [3] [100/366] learning_rate: 0.399883 loss_vfl: 1.073578 loss_bbox: 0.400705 loss_dfl: 0.228783 loss: 1.706048 eta: 3 days, 11:56:52 batch_cost: 2.7578 data_cost: 0.0016 ips: 29.0087 images/s [10/13 11:08:00] ppdet.engine INFO: Epoch: [3] [120/366] learning_rate: 0.399879 loss_vfl: 1.059454 loss_bbox: 0.409645 loss_dfl: 0.231739 loss: 1.717508 eta: 3 days, 11:55:30 batch_cost: 2.7676 data_cost: 0.0016 ips: 28.9055 images/s [10/13 11:08:58] ppdet.engine INFO: Epoch: [3] [140/366] learning_rate: 0.399875 loss_vfl: 1.057517 loss_bbox: 0.428946 loss_dfl: 0.228184 loss: 1.704115 eta: 3 days, 11:53:11 batch_cost: 2.7351 data_cost: 0.0015 ips: 29.2490 images/s [10/13 11:09:56] ppdet.engine INFO: Epoch: [3] [160/366] learning_rate: 0.399870 loss_vfl: 1.066648 loss_bbox: 0.410998 loss_dfl: 0.225307 loss: 1.710175 eta: 3 days, 11:52:00 batch_cost: 2.7730 data_cost: 0.0016 ips: 28.8497 images/s [10/13 11:10:54] ppdet.engine INFO: Epoch: [3] [180/366] learning_rate: 0.399866 loss_vfl: 1.067520 loss_bbox: 0.423354 loss_dfl: 0.232315 loss: 1.723206 eta: 3 days, 11:49:54 batch_cost: 2.7399 data_cost: 0.0016 ips: 29.1985 images/s [10/13 11:11:52] ppdet.engine INFO: Epoch: [3] [200/366] learning_rate: 0.399862 loss_vfl: 1.051929 loss_bbox: 0.410916 loss_dfl: 0.231403 loss: 1.703620 eta: 3 days, 11:49:11 batch_cost: 2.7888 data_cost: 0.0015 ips: 28.6860 images/s [10/13 11:12:51] ppdet.engine INFO: Epoch: [3] [220/366] learning_rate: 0.399858 loss_vfl: 1.063431 loss_bbox: 0.412914 loss_dfl: 0.233352 loss: 1.691538 eta: 3 days, 11:47:10 batch_cost: 2.7413 data_cost: 0.0015 ips: 29.1838 images/s [10/13 11:13:49] ppdet.engine INFO: Epoch: [3] [240/366] learning_rate: 0.399853 loss_vfl: 1.056344 loss_bbox: 0.393685 loss_dfl: 0.221853 loss: 1.668380 eta: 3 days, 11:44:53 batch_cost: 2.7302 data_cost: 0.0015 ips: 29.3020 images/s [10/13 11:14:46] ppdet.engine INFO: Epoch: [3] [260/366] learning_rate: 0.399849 loss_vfl: 1.078109 loss_bbox: 0.410302 loss_dfl: 0.230900 loss: 1.710498 eta: 3 days, 11:42:43 batch_cost: 2.7333 data_cost: 0.0016 ips: 29.2688 images/s [10/13 11:15:43] ppdet.engine INFO: Epoch: [3] [280/366] learning_rate: 0.399845 loss_vfl: 1.070786 loss_bbox: 0.413801 loss_dfl: 0.230551 loss: 1.707168 eta: 3 days, 11:39:57 batch_cost: 2.7086 data_cost: 0.0015 ips: 29.5356 images/s [10/13 11:16:41] ppdet.engine INFO: Epoch: [3] [300/366] learning_rate: 0.399840 loss_vfl: 1.057782 loss_bbox: 0.401907 loss_dfl: 0.226003 loss: 1.673404 eta: 3 days, 11:38:27 batch_cost: 2.7555 data_cost: 0.0016 ips: 29.0327 images/s [10/13 11:17:39] ppdet.engine INFO: Epoch: [3] [320/366] learning_rate: 0.399835 loss_vfl: 1.063538 loss_bbox: 0.400736 loss_dfl: 0.228861 loss: 1.709562 eta: 3 days, 11:36:51 batch_cost: 2.7514 data_cost: 0.0022 ips: 29.0762 images/s [10/13 11:18:38] ppdet.engine INFO: Epoch: [3] [340/366] learning_rate: 0.399831 loss_vfl: 1.057516 loss_bbox: 0.406268 loss_dfl: 0.228332 loss: 1.682229 eta: 3 days, 11:35:47 batch_cost: 2.7716 data_cost: 0.0016 ips: 28.8647 images/s [10/13 11:19:33] ppdet.engine INFO: Epoch: [3] [360/366] learning_rate: 0.399826 loss_vfl: 1.062694 loss_bbox: 0.404002 loss_dfl: 0.224148 loss: 1.683468 eta: 3 days, 11:30:58 batch_cost: 2.6201 data_cost: 0.0015 ips: 30.5336 images/s [10/13 11:20:10] ppdet.engine INFO: Epoch: [4] [ 0/366] learning_rate: 0.399825 loss_vfl: 1.067563 loss_bbox: 0.405115 loss_dfl: 0.227347 loss: 1.702168 eta: 3 days, 11:51:03 batch_cost: 3.4354 data_cost: 0.4745 ips: 23.2868 images/s [10/13 11:21:11] ppdet.engine INFO: Epoch: [4] [ 20/366] learning_rate: 0.399820 loss_vfl: 1.073754 loss_bbox: 0.383254 loss_dfl: 0.222165 loss: 1.700585 eta: 3 days, 11:50:11 batch_cost: 2.7884 data_cost: 0.0025 ips: 28.6899 images/s [10/13 11:22:09] ppdet.engine INFO: Epoch: [4] [ 40/366] learning_rate: 0.399815 loss_vfl: 1.049706 loss_bbox: 0.396925 loss_dfl: 0.225536 loss: 1.695403 eta: 3 days, 11:48:33 batch_cost: 2.7573 data_cost: 0.0023 ips: 29.0138 images/s [10/13 11:23:07] ppdet.engine INFO: Epoch: [4] [ 60/366] learning_rate: 0.399810 loss_vfl: 1.048947 loss_bbox: 0.400984 loss_dfl: 0.223202 loss: 1.686931 eta: 3 days, 11:47:32 batch_cost: 2.7820 data_cost: 0.0020 ips: 28.7565 images/s [10/13 11:24:06] ppdet.engine INFO: Epoch: [4] [ 80/366] learning_rate: 0.399805 loss_vfl: 1.055617 loss_bbox: 0.406402 loss_dfl: 0.225924 loss: 1.690332 eta: 3 days, 11:45:50 batch_cost: 2.7534 data_cost: 0.0029 ips: 29.0546 images/s [10/13 11:25:04] ppdet.engine INFO: Epoch: [4] [100/366] learning_rate: 0.399800 loss_vfl: 1.046772 loss_bbox: 0.392911 loss_dfl: 0.220883 loss: 1.659847 eta: 3 days, 11:44:43 batch_cost: 2.7770 data_cost: 0.0024 ips: 28.8085 images/s [10/13 11:26:03] ppdet.engine INFO: Epoch: [4] [120/366] learning_rate: 0.399795 loss_vfl: 1.043279 loss_bbox: 0.428417 loss_dfl: 0.235121 loss: 1.721308 eta: 3 days, 11:44:16 batch_cost: 2.8067 data_cost: 0.0021 ips: 28.5035 images/s [10/13 11:27:01] ppdet.engine INFO: Epoch: [4] [140/366] learning_rate: 0.399789 loss_vfl: 1.054613 loss_bbox: 0.410058 loss_dfl: 0.231529 loss: 1.682590 eta: 3 days, 11:42:13 batch_cost: 2.7360 data_cost: 0.0018 ips: 29.2401 images/s [10/13 11:27:59] ppdet.engine INFO: Epoch: [4] [160/366] learning_rate: 0.399784 loss_vfl: 1.041948 loss_bbox: 0.390386 loss_dfl: 0.227081 loss: 1.669021 eta: 3 days, 11:40:25 batch_cost: 2.7455 data_cost: 0.0018 ips: 29.1390 images/s [10/13 11:28:57] ppdet.engine INFO: Epoch: [4] [180/366] learning_rate: 0.399779 loss_vfl: 1.041825 loss_bbox: 0.387411 loss_dfl: 0.217053 loss: 1.641066 eta: 3 days, 11:38:15 batch_cost: 2.7278 data_cost: 0.0017 ips: 29.3280 images/s [10/13 11:29:54] ppdet.engine INFO: Epoch: [4] [200/366] learning_rate: 0.399773 loss_vfl: 1.043527 loss_bbox: 0.399310 loss_dfl: 0.222374 loss: 1.686807 eta: 3 days, 11:36:09 batch_cost: 2.7304 data_cost: 0.0016 ips: 29.2995 images/s [10/13 11:30:53] ppdet.engine INFO: Epoch: [4] [220/366] learning_rate: 0.399768 loss_vfl: 1.047218 loss_bbox: 0.407660 loss_dfl: 0.229531 loss: 1.706701 eta: 3 days, 11:34:46 batch_cost: 2.7617 data_cost: 0.0018 ips: 28.9678 images/s [10/13 11:31:50] ppdet.engine INFO: Epoch: [4] [240/366] learning_rate: 0.399762 loss_vfl: 1.032903 loss_bbox: 0.397834 loss_dfl: 0.232983 loss: 1.680682 eta: 3 days, 11:32:39 batch_cost: 2.7265 data_cost: 0.0017 ips: 29.3417 images/s [10/13 11:32:47] ppdet.engine INFO: Epoch: [4] [260/366] learning_rate: 0.399757 loss_vfl: 1.044538 loss_bbox: 0.413197 loss_dfl: 0.233567 loss: 1.682473 eta: 3 days, 11:29:19 batch_cost: 2.6670 data_cost: 0.0017 ips: 29.9958 images/s [10/13 11:33:44] ppdet.engine INFO: Epoch: [4] [280/366] learning_rate: 0.399751 loss_vfl: 1.036024 loss_bbox: 0.397803 loss_dfl: 0.223581 loss: 1.658438 eta: 3 days, 11:27:34 batch_cost: 2.7411 data_cost: 0.0016 ips: 29.1858 images/s [10/13 11:34:44] ppdet.engine INFO: Epoch: [4] [300/366] learning_rate: 0.399745 loss_vfl: 1.036548 loss_bbox: 0.411343 loss_dfl: 0.227884 loss: 1.684578 eta: 3 days, 11:27:29 batch_cost: 2.8219 data_cost: 0.0016 ips: 28.3496 images/s [10/13 11:35:41] ppdet.engine INFO: Epoch: [4] [320/366] learning_rate: 0.399740 loss_vfl: 1.042365 loss_bbox: 0.415378 loss_dfl: 0.231154 loss: 1.671239 eta: 3 days, 11:25:03 batch_cost: 2.7069 data_cost: 0.0016 ips: 29.5542 images/s [10/13 11:36:39] ppdet.engine INFO: Epoch: [4] [340/366] learning_rate: 0.399734 loss_vfl: 1.032099 loss_bbox: 0.401075 loss_dfl: 0.229372 loss: 1.666776 eta: 3 days, 11:23:23 batch_cost: 2.7428 data_cost: 0.0017 ips: 29.1676 images/s [10/13 11:37:31] ppdet.engine INFO: Epoch: [4] [360/366] learning_rate: 0.399728 loss_vfl: 1.034697 loss_bbox: 0.402114 loss_dfl: 0.222179 loss: 1.640693 eta: 3 days, 11:16:34 batch_cost: 2.4814 data_cost: 0.0016 ips: 32.2394 images/s [10/13 11:38:05] ppdet.engine INFO: Epoch: [5] [ 0/366] learning_rate: 0.399726 loss_vfl: 1.030032 loss_bbox: 0.405371 loss_dfl: 0.223748 loss: 1.648480 eta: 3 days, 11:29:22 batch_cost: 3.1504 data_cost: 0.2802 ips: 25.3939 images/s [10/13 11:39:08] ppdet.engine INFO: Epoch: [5] [ 20/366] learning_rate: 0.399720 loss_vfl: 1.038723 loss_bbox: 0.383189 loss_dfl: 0.217817 loss: 1.655757 eta: 3 days, 11:32:31 batch_cost: 2.9930 data_cost: 0.0017 ips: 26.7292 images/s [10/13 11:40:07] ppdet.engine INFO: Epoch: [5] [ 40/366] learning_rate: 0.399714 loss_vfl: 1.043599 loss_bbox: 0.384676 loss_dfl: 0.218753 loss: 1.670133 eta: 3 days, 11:31:25 batch_cost: 2.7775 data_cost: 0.0017 ips: 28.8029 images/s [10/13 11:41:05] ppdet.engine INFO: Epoch: [5] [ 60/366] learning_rate: 0.399708 loss_vfl: 1.036793 loss_bbox: 0.406326 loss_dfl: 0.226114 loss: 1.675356 eta: 3 days, 11:29:54 batch_cost: 2.7546 data_cost: 0.0017 ips: 29.0427 images/s [10/13 11:42:02] ppdet.engine INFO: Epoch: [5] [ 80/366] learning_rate: 0.399701 loss_vfl: 1.045741 loss_bbox: 0.397732 loss_dfl: 0.226609 loss: 1.652887 eta: 3 days, 11:28:04 batch_cost: 2.7381 data_cost: 0.0017 ips: 29.2175 images/s [10/13 11:43:01] ppdet.engine INFO: Epoch: [5] [100/366] learning_rate: 0.399695 loss_vfl: 1.035427 loss_bbox: 0.412299 loss_dfl: 0.230996 loss: 1.676517 eta: 3 days, 11:27:12 batch_cost: 2.7884 data_cost: 0.0016 ips: 28.6898 images/s [10/13 11:43:59] ppdet.engine INFO: Epoch: [5] [120/366] learning_rate: 0.399689 loss_vfl: 1.037575 loss_bbox: 0.385097 loss_dfl: 0.221664 loss: 1.640596 eta: 3 days, 11:25:31 batch_cost: 2.7437 data_cost: 0.0016 ips: 29.1573 images/s [10/13 11:44:57] ppdet.engine INFO: Epoch: [5] [140/366] learning_rate: 0.399682 loss_vfl: 1.016571 loss_bbox: 0.418040 loss_dfl: 0.228129 loss: 1.667723 eta: 3 days, 11:24:02 batch_cost: 2.7542 data_cost: 0.0016 ips: 29.0463 images/s [10/13 11:45:55] ppdet.engine INFO: Epoch: [5] [160/366] learning_rate: 0.399676 loss_vfl: 1.048422 loss_bbox: 0.382673 loss_dfl: 0.213583 loss: 1.648706 eta: 3 days, 11:22:24 batch_cost: 2.7456 data_cost: 0.0016 ips: 29.1377 images/s [10/13 11:46:52] ppdet.engine INFO: Epoch: [5] [180/366] learning_rate: 0.399669 loss_vfl: 1.029689 loss_bbox: 0.400258 loss_dfl: 0.231013 loss: 1.656881 eta: 3 days, 11:19:58 batch_cost: 2.6992 data_cost: 0.0017 ips: 29.6379 images/s [10/13 11:47:50] ppdet.engine INFO: Epoch: [5] [200/366] learning_rate: 0.399663 loss_vfl: 1.019473 loss_bbox: 0.370435 loss_dfl: 0.215642 loss: 1.635105 eta: 3 days, 11:18:18 batch_cost: 2.7420 data_cost: 0.0016 ips: 29.1760 images/s [10/13 11:48:50] ppdet.engine INFO: Epoch: [5] [220/366] learning_rate: 0.399656 loss_vfl: 1.013644 loss_bbox: 0.379326 loss_dfl: 0.219619 loss: 1.635612 eta: 3 days, 11:18:16 batch_cost: 2.8336 data_cost: 0.0015 ips: 28.2328 images/s [10/13 11:49:50] ppdet.engine INFO: Epoch: [5] [240/366] learning_rate: 0.399649 loss_vfl: 1.037964 loss_bbox: 0.400537 loss_dfl: 0.231400 loss: 1.675180 eta: 3 days, 11:18:30 batch_cost: 2.8503 data_cost: 0.0016 ips: 28.0673 images/s [10/13 11:50:49] ppdet.engine INFO: Epoch: [5] [260/366] learning_rate: 0.399643 loss_vfl: 1.035853 loss_bbox: 0.397994 loss_dfl: 0.223419 loss: 1.649342 eta: 3 days, 11:18:16 batch_cost: 2.8247 data_cost: 0.0015 ips: 28.3216 images/s [10/13 11:51:49] ppdet.engine INFO: Epoch: [5] [280/366] learning_rate: 0.399636 loss_vfl: 1.021742 loss_bbox: 0.390304 loss_dfl: 0.217751 loss: 1.656419 eta: 3 days, 11:17:48 batch_cost: 2.8114 data_cost: 0.0015 ips: 28.4553 images/s [10/13 11:52:48] ppdet.engine INFO: Epoch: [5] [300/366] learning_rate: 0.399629 loss_vfl: 1.039283 loss_bbox: 0.401188 loss_dfl: 0.222609 loss: 1.684259 eta: 3 days, 11:17:19 batch_cost: 2.8106 data_cost: 0.0015 ips: 28.4640 images/s [10/13 11:53:46] ppdet.engine INFO: Epoch: [5] [320/366] learning_rate: 0.399622 loss_vfl: 1.043656 loss_bbox: 0.388137 loss_dfl: 0.225437 loss: 1.650045 eta: 3 days, 11:15:34 batch_cost: 2.7354 data_cost: 0.0015 ips: 29.2466 images/s [10/13 11:54:45] ppdet.engine INFO: Epoch: [5] [340/366] learning_rate: 0.399615 loss_vfl: 1.039243 loss_bbox: 0.402182 loss_dfl: 0.228465 loss: 1.672323 eta: 3 days, 11:14:56 batch_cost: 2.8021 data_cost: 0.0016 ips: 28.5496 images/s [10/13 11:55:38] ppdet.engine INFO: Epoch: [5] [360/366] learning_rate: 0.399607 loss_vfl: 1.026922 loss_bbox: 0.388427 loss_dfl: 0.221397 loss: 1.641411 eta: 3 days, 11:09:38 batch_cost: 2.5177 data_cost: 0.0016 ips: 31.7748 images/s [10/13 11:56:15] ppdet.engine INFO: Epoch: [6] [ 0/366] learning_rate: 0.399605 loss_vfl: 1.029519 loss_bbox: 0.387055 loss_dfl: 0.221397 loss: 1.641411 eta: 3 days, 11:22:24 batch_cost: 3.3186 data_cost: 0.5668 ips: 24.1065 images/s [10/13 11:57:13] ppdet.engine INFO: Epoch: [6] [ 20/366] learning_rate: 0.399598 loss_vfl: 1.029563 loss_bbox: 0.396780 loss_dfl: 0.223948 loss: 1.646643 eta: 3 days, 11:21:15 batch_cost: 2.7758 data_cost: 0.0019 ips: 28.8210 images/s [10/13 11:58:13] ppdet.engine INFO: Epoch: [6] [ 40/366] learning_rate: 0.399591 loss_vfl: 1.017306 loss_bbox: 0.421333 loss_dfl: 0.232319 loss: 1.670616 eta: 3 days, 11:20:17 batch_cost: 2.7877 data_cost: 0.0016 ips: 28.6978 images/s [10/13 11:59:12] ppdet.engine INFO: Epoch: [6] [ 60/366] learning_rate: 0.399583 loss_vfl: 1.019663 loss_bbox: 0.377312 loss_dfl: 0.215925 loss: 1.639358 eta: 3 days, 11:19:40 batch_cost: 2.8086 data_cost: 0.0016 ips: 28.4839 images/s [10/13 12:00:11] ppdet.engine INFO: Epoch: [6] [ 80/366] learning_rate: 0.399576 loss_vfl: 1.031850 loss_bbox: 0.362616 loss_dfl: 0.212085 loss: 1.597122 eta: 3 days, 11:19:13 batch_cost: 2.8200 data_cost: 0.0016 ips: 28.3683 images/s [10/13 12:01:11] ppdet.engine INFO: Epoch: [6] [100/366] learning_rate: 0.399569 loss_vfl: 1.033266 loss_bbox: 0.371810 loss_dfl: 0.213963 loss: 1.636244 eta: 3 days, 11:18:37 batch_cost: 2.8107 data_cost: 0.0016 ips: 28.4629 images/s [10/13 12:02:11] ppdet.engine INFO: Epoch: [6] [120/366] learning_rate: 0.399561 loss_vfl: 1.027871 loss_bbox: 0.392017 loss_dfl: 0.218901 loss: 1.643528 eta: 3 days, 11:19:19 batch_cost: 2.8949 data_cost: 0.0016 ips: 27.6352 images/s [10/13 12:03:11] ppdet.engine INFO: Epoch: [6] [140/366] learning_rate: 0.399553 loss_vfl: 1.035161 loss_bbox: 0.394950 loss_dfl: 0.222083 loss: 1.651501 eta: 3 days, 11:18:45 batch_cost: 2.8145 data_cost: 0.0017 ips: 28.4239 images/s [10/13 12:04:10] ppdet.engine INFO: Epoch: [6] [160/366] learning_rate: 0.399546 loss_vfl: 1.027836 loss_bbox: 0.411757 loss_dfl: 0.228822 loss: 1.662791 eta: 3 days, 11:18:24 batch_cost: 2.8294 data_cost: 0.0022 ips: 28.2743 images/s [10/13 12:05:11] ppdet.engine INFO: Epoch: [6] [180/366] learning_rate: 0.399538 loss_vfl: 1.025506 loss_bbox: 0.393300 loss_dfl: 0.221215 loss: 1.627161 eta: 3 days, 11:18:37 batch_cost: 2.8674 data_cost: 0.0016 ips: 27.9001 images/s [10/13 12:06:10] ppdet.engine INFO: Epoch: [6] [200/366] learning_rate: 0.399530 loss_vfl: 1.034410 loss_bbox: 0.378894 loss_dfl: 0.217525 loss: 1.643467 eta: 3 days, 11:18:05 batch_cost: 2.8179 data_cost: 0.0015 ips: 28.3901 images/s [10/13 12:07:09] ppdet.engine INFO: Epoch: [6] [220/366] learning_rate: 0.399522 loss_vfl: 1.011202 loss_bbox: 0.396534 loss_dfl: 0.232349 loss: 1.656237 eta: 3 days, 11:17:23 batch_cost: 2.8087 data_cost: 0.0016 ips: 28.4827 images/s [10/13 12:08:07] ppdet.engine INFO: Epoch: [6] [240/366] learning_rate: 0.399514 loss_vfl: 1.024024 loss_bbox: 0.396522 loss_dfl: 0.222241 loss: 1.658209 eta: 3 days, 11:15:43 batch_cost: 2.7413 data_cost: 0.0016 ips: 29.1829 images/s [10/13 12:09:05] ppdet.engine INFO: Epoch: [6] [260/366] learning_rate: 0.399506 loss_vfl: 1.021249 loss_bbox: 0.391662 loss_dfl: 0.221132 loss: 1.645174 eta: 3 days, 11:13:44 batch_cost: 2.7202 data_cost: 0.0015 ips: 29.4100 images/s [10/13 12:10:03] ppdet.engine INFO: Epoch: [6] [280/366] learning_rate: 0.399498 loss_vfl: 1.036182 loss_bbox: 0.387842 loss_dfl: 0.222352 loss: 1.646258 eta: 3 days, 11:12:29 batch_cost: 2.7689 data_cost: 0.0015 ips: 28.8920 images/s [10/13 12:11:03] ppdet.engine INFO: Epoch: [6] [300/366] learning_rate: 0.399490 loss_vfl: 1.042241 loss_bbox: 0.396123 loss_dfl: 0.224066 loss: 1.647481 eta: 3 days, 11:12:02 batch_cost: 2.8249 data_cost: 0.0016 ips: 28.3199 images/s [10/13 12:12:00] ppdet.engine INFO: Epoch: [6] [320/366] learning_rate: 0.399482 loss_vfl: 1.013882 loss_bbox: 0.385048 loss_dfl: 0.219795 loss: 1.615863 eta: 3 days, 11:09:59 batch_cost: 2.7121 data_cost: 0.0016 ips: 29.4973 images/s [10/13 12:13:00] ppdet.engine INFO: Epoch: [6] [340/366] learning_rate: 0.399474 loss_vfl: 1.021570 loss_bbox: 0.398329 loss_dfl: 0.221509 loss: 1.620696 eta: 3 days, 11:10:05 batch_cost: 2.8637 data_cost: 0.0022 ips: 27.9362 images/s [10/13 12:13:54] ppdet.engine INFO: Epoch: [6] [360/366] learning_rate: 0.399465 loss_vfl: 1.025433 loss_bbox: 0.381186 loss_dfl: 0.218219 loss: 1.637869 eta: 3 days, 11:06:12 batch_cost: 2.5801 data_cost: 0.0016 ips: 31.0061 images/s [10/13 12:14:30] ppdet.engine INFO: Epoch: [7] [ 0/366] learning_rate: 0.399463 loss_vfl: 1.016348 loss_bbox: 0.378487 loss_dfl: 0.218219 loss: 1.635669 eta: 3 days, 11:16:15 batch_cost: 3.3048 data_cost: 0.4283 ips: 24.2076 images/s [10/13 12:15:31] ppdet.engine INFO: Epoch: [7] [ 20/366] learning_rate: 0.399454 loss_vfl: 1.024075 loss_bbox: 0.402097 loss_dfl: 0.226279 loss: 1.654107 eta: 3 days, 11:17:11 batch_cost: 2.9306 data_cost: 0.0018 ips: 27.2983 images/s [10/13 12:16:30] ppdet.engine INFO: Epoch: [7] [ 40/366] learning_rate: 0.399446 loss_vfl: 1.021977 loss_bbox: 0.386914 loss_dfl: 0.218309 loss: 1.644293 eta: 3 days, 11:16:28 batch_cost: 2.8117 data_cost: 0.0017 ips: 28.4528 images/s [10/13 12:17:28] ppdet.engine INFO: Epoch: [7] [ 60/366] learning_rate: 0.399437 loss_vfl: 1.025267 loss_bbox: 0.375341 loss_dfl: 0.219991 loss: 1.630343 eta: 3 days, 11:14:52 batch_cost: 2.7478 data_cost: 0.0016 ips: 29.1147 images/s [10/13 12:18:26] ppdet.engine INFO: Epoch: [7] [ 80/366] learning_rate: 0.399429 loss_vfl: 1.005675 loss_bbox: 0.380442 loss_dfl: 0.222495 loss: 1.630526 eta: 3 days, 11:13:24 batch_cost: 2.7561 data_cost: 0.0016 ips: 29.0265 images/s [10/13 12:19:24] ppdet.engine INFO: Epoch: [7] [100/366] learning_rate: 0.399420 loss_vfl: 1.013974 loss_bbox: 0.384434 loss_dfl: 0.218112 loss: 1.623102 eta: 3 days, 11:11:41 batch_cost: 2.7380 data_cost: 0.0016 ips: 29.2179 images/s [10/13 12:20:21] ppdet.engine INFO: Epoch: [7] [120/366] learning_rate: 0.399411 loss_vfl: 1.035358 loss_bbox: 0.383717 loss_dfl: 0.217415 loss: 1.618412 eta: 3 days, 11:09:37 batch_cost: 2.7098 data_cost: 0.0016 ips: 29.5227 images/s [10/13 12:21:19] ppdet.engine INFO: Epoch: [7] [140/366] learning_rate: 0.399403 loss_vfl: 1.004383 loss_bbox: 0.406756 loss_dfl: 0.229383 loss: 1.640519 eta: 3 days, 11:08:17 batch_cost: 2.7646 data_cost: 0.0016 ips: 28.9371 images/s [10/13 12:22:17] ppdet.engine INFO: Epoch: [7] [160/366] learning_rate: 0.399394 loss_vfl: 1.038590 loss_bbox: 0.392336 loss_dfl: 0.223349 loss: 1.661877 eta: 3 days, 11:06:25 batch_cost: 2.7235 data_cost: 0.0015 ips: 29.3736 images/s [10/13 12:23:15] ppdet.engine INFO: Epoch: [7] [180/366] learning_rate: 0.399385 loss_vfl: 1.025069 loss_bbox: 0.389067 loss_dfl: 0.221118 loss: 1.638385 eta: 3 days, 11:05:12 batch_cost: 2.7716 data_cost: 0.0016 ips: 28.8645 images/s [10/13 12:24:13] ppdet.engine INFO: Epoch: [7] [200/366] learning_rate: 0.399376 loss_vfl: 1.013303 loss_bbox: 0.366639 loss_dfl: 0.215654 loss: 1.594005 eta: 3 days, 11:03:45 batch_cost: 2.7540 data_cost: 0.0015 ips: 29.0489 images/s [10/13 12:25:11] ppdet.engine INFO: Epoch: [7] [220/366] learning_rate: 0.399367 loss_vfl: 1.010612 loss_bbox: 0.369103 loss_dfl: 0.216436 loss: 1.598528 eta: 3 days, 11:02:16 batch_cost: 2.7504 data_cost: 0.0016 ips: 29.0863 images/s [10/13 12:26:09] ppdet.engine INFO: Epoch: [7] [240/366] learning_rate: 0.399358 loss_vfl: 1.007553 loss_bbox: 0.381261 loss_dfl: 0.219912 loss: 1.612017 eta: 3 days, 11:01:15 batch_cost: 2.7870 data_cost: 0.0016 ips: 28.7045 images/s [10/13 12:27:07] ppdet.engine INFO: Epoch: [7] [260/366] learning_rate: 0.399348 loss_vfl: 1.032599 loss_bbox: 0.366427 loss_dfl: 0.221590 loss: 1.639222 eta: 3 days, 10:59:47 batch_cost: 2.7508 data_cost: 0.0015 ips: 29.0826 images/s [10/13 12:28:04] ppdet.engine INFO: Epoch: [7] [280/366] learning_rate: 0.399339 loss_vfl: 1.009197 loss_bbox: 0.393899 loss_dfl: 0.219275 loss: 1.643314 eta: 3 days, 10:57:58 batch_cost: 2.7222 data_cost: 0.0015 ips: 29.3882 images/s [10/13 12:29:02] ppdet.engine INFO: Epoch: [7] [300/366] learning_rate: 0.399330 loss_vfl: 1.007885 loss_bbox: 0.389352 loss_dfl: 0.225132 loss: 1.632575 eta: 3 days, 10:56:04 batch_cost: 2.7151 data_cost: 0.0016 ips: 29.4646 images/s [10/13 12:29:59] ppdet.engine INFO: Epoch: [7] [320/366] learning_rate: 0.399320 loss_vfl: 1.020951 loss_bbox: 0.381440 loss_dfl: 0.219201 loss: 1.615150 eta: 3 days, 10:54:23 batch_cost: 2.7307 data_cost: 0.0016 ips: 29.2962 images/s [10/13 12:30:57] ppdet.engine INFO: Epoch: [7] [340/366] learning_rate: 0.399311 loss_vfl: 1.013741 loss_bbox: 0.393068 loss_dfl: 0.225967 loss: 1.633882 eta: 3 days, 10:52:54 batch_cost: 2.7463 data_cost: 0.0015 ips: 29.1306 images/s [10/13 12:31:49] ppdet.engine INFO: Epoch: [7] [360/366] learning_rate: 0.399301 loss_vfl: 1.029408 loss_bbox: 0.391945 loss_dfl: 0.223802 loss: 1.625379 eta: 3 days, 10:47:44 batch_cost: 2.4439 data_cost: 0.0015 ips: 32.7342 images/s [10/13 12:32:24] ppdet.engine INFO: Epoch: [8] [ 0/366] learning_rate: 0.399299 loss_vfl: 1.020710 loss_bbox: 0.395066 loss_dfl: 0.223878 loss: 1.625379 eta: 3 days, 10:56:43 batch_cost: 3.2461 data_cost: 0.4038 ips: 24.6453 images/s [10/13 12:33:23] ppdet.engine INFO: Epoch: [8] [ 20/366] learning_rate: 0.399289 loss_vfl: 1.018689 loss_bbox: 0.386718 loss_dfl: 0.223076 loss: 1.625260 eta: 3 days, 10:55:50 batch_cost: 2.7988 data_cost: 0.0018 ips: 28.5836 images/s [10/13 12:34:23] ppdet.engine INFO: Epoch: [8] [ 40/366] learning_rate: 0.399279 loss_vfl: 1.012127 loss_bbox: 0.374105 loss_dfl: 0.219196 loss: 1.604384 eta: 3 days, 10:55:29 batch_cost: 2.8427 data_cost: 0.0017 ips: 28.1422 images/s [10/13 12:35:21] ppdet.engine INFO: Epoch: [8] [ 60/366] learning_rate: 0.399270 loss_vfl: 1.005598 loss_bbox: 0.371910 loss_dfl: 0.215370 loss: 1.618393 eta: 3 days, 10:54:24 batch_cost: 2.7817 data_cost: 0.0016 ips: 28.7589 images/s [10/13 12:36:19] ppdet.engine INFO: Epoch: [8] [ 80/366] learning_rate: 0.399260 loss_vfl: 1.009722 loss_bbox: 0.389880 loss_dfl: 0.225508 loss: 1.614197 eta: 3 days, 10:52:31 batch_cost: 2.7133 data_cost: 0.0016 ips: 29.4843 images/s [10/13 12:37:17] ppdet.engine INFO: Epoch: [8] [100/366] learning_rate: 0.399250 loss_vfl: 1.013507 loss_bbox: 0.375792 loss_dfl: 0.217148 loss: 1.615961 eta: 3 days, 10:51:04 batch_cost: 2.7501 data_cost: 0.0016 ips: 29.0903 images/s [10/13 12:38:15] ppdet.engine INFO: Epoch: [8] [120/366] learning_rate: 0.399240 loss_vfl: 1.018717 loss_bbox: 0.388602 loss_dfl: 0.220440 loss: 1.617635 eta: 3 days, 10:49:45 batch_cost: 2.7599 data_cost: 0.0015 ips: 28.9865 images/s [10/13 12:39:14] ppdet.engine INFO: Epoch: [8] [140/366] learning_rate: 0.399230 loss_vfl: 1.009295 loss_bbox: 0.382861 loss_dfl: 0.220624 loss: 1.610393 eta: 3 days, 10:48:46 batch_cost: 2.7895 data_cost: 0.0016 ips: 28.6793 images/s [10/13 12:40:12] ppdet.engine INFO: Epoch: [8] [160/366] learning_rate: 0.399220 loss_vfl: 1.016263 loss_bbox: 0.393796 loss_dfl: 0.224101 loss: 1.627324 eta: 3 days, 10:47:23 batch_cost: 2.7530 data_cost: 0.0017 ips: 29.0597 images/s [10/13 12:41:10] ppdet.engine INFO: Epoch: [8] [180/366] learning_rate: 0.399210 loss_vfl: 1.019039 loss_bbox: 0.392733 loss_dfl: 0.224055 loss: 1.625689 eta: 3 days, 10:46:25 batch_cost: 2.7899 data_cost: 0.0016 ips: 28.6745 images/s [10/13 12:42:09] ppdet.engine INFO: Epoch: [8] [200/366] learning_rate: 0.399200 loss_vfl: 1.002095 loss_bbox: 0.355322 loss_dfl: 0.207056 loss: 1.581085 eta: 3 days, 10:45:17 batch_cost: 2.7758 data_cost: 0.0016 ips: 28.8201 images/s [10/13 12:43:06] ppdet.engine INFO: Epoch: [8] [220/366] learning_rate: 0.399189 loss_vfl: 1.006589 loss_bbox: 0.382466 loss_dfl: 0.217620 loss: 1.597850 eta: 3 days, 10:43:25 batch_cost: 2.7090 data_cost: 0.0016 ips: 29.5316 images/s [10/13 12:44:04] ppdet.engine INFO: Epoch: [8] [240/366] learning_rate: 0.399179 loss_vfl: 1.015129 loss_bbox: 0.371403 loss_dfl: 0.214067 loss: 1.595428 eta: 3 days, 10:41:56 batch_cost: 2.7436 data_cost: 0.0015 ips: 29.1587 images/s [10/13 12:45:01] ppdet.engine INFO: Epoch: [8] [260/366] learning_rate: 0.399169 loss_vfl: 1.006155 loss_bbox: 0.368251 loss_dfl: 0.217867 loss: 1.587612 eta: 3 days, 10:40:04 batch_cost: 2.7087 data_cost: 0.0016 ips: 29.5343 images/s [10/13 12:45:58] ppdet.engine INFO: Epoch: [8] [280/366] learning_rate: 0.399158 loss_vfl: 1.012119 loss_bbox: 0.392171 loss_dfl: 0.225717 loss: 1.632737 eta: 3 days, 10:38:14 batch_cost: 2.7099 data_cost: 0.0017 ips: 29.5214 images/s [10/13 12:46:55] ppdet.engine INFO: Epoch: [8] [300/366] learning_rate: 0.399148 loss_vfl: 1.032920 loss_bbox: 0.361823 loss_dfl: 0.210807 loss: 1.600203 eta: 3 days, 10:36:10 batch_cost: 2.6865 data_cost: 0.0016 ips: 29.7782 images/s [10/13 12:47:53] ppdet.engine INFO: Epoch: [8] [320/366] learning_rate: 0.399137 loss_vfl: 1.025171 loss_bbox: 0.376006 loss_dfl: 0.210429 loss: 1.610502 eta: 3 days, 10:34:49 batch_cost: 2.7519 data_cost: 0.0016 ips: 29.0710 images/s [10/13 12:48:52] ppdet.engine INFO: Epoch: [8] [340/366] learning_rate: 0.399126 loss_vfl: 1.011656 loss_bbox: 0.369147 loss_dfl: 0.215059 loss: 1.594687 eta: 3 days, 10:34:10 batch_cost: 2.8165 data_cost: 0.0015 ips: 28.4038 images/s [10/13 12:49:44] ppdet.engine INFO: Epoch: [8] [360/366] learning_rate: 0.399116 loss_vfl: 1.015328 loss_bbox: 0.388564 loss_dfl: 0.224248 loss: 1.623919 eta: 3 days, 10:29:43 batch_cost: 2.4642 data_cost: 0.0016 ips: 32.4655 images/s [10/13 12:50:20] ppdet.engine INFO: Epoch: [9] [ 0/366] learning_rate: 0.399112 loss_vfl: 1.006446 loss_bbox: 0.379974 loss_dfl: 0.224248 loss: 1.609476 eta: 3 days, 10:37:30 batch_cost: 3.2211 data_cost: 0.3360 ips: 24.8366 images/s [10/13 12:51:21] ppdet.engine INFO: Epoch: [9] [ 20/366] learning_rate: 0.399102 loss_vfl: 0.992834 loss_bbox: 0.404348 loss_dfl: 0.223435 loss: 1.613390 eta: 3 days, 10:37:25 batch_cost: 2.8722 data_cost: 0.0017 ips: 27.8529 images/s [10/13 12:52:19] ppdet.engine INFO: Epoch: [9] [ 40/366] learning_rate: 0.399091 loss_vfl: 0.998873 loss_bbox: 0.383940 loss_dfl: 0.219083 loss: 1.591109 eta: 3 days, 10:36:16 batch_cost: 2.7723 data_cost: 0.0016 ips: 28.8565 images/s [10/13 12:53:18] ppdet.engine INFO: Epoch: [9] [ 60/366] learning_rate: 0.399080 loss_vfl: 1.011027 loss_bbox: 0.403787 loss_dfl: 0.224640 loss: 1.637999 eta: 3 days, 10:35:46 batch_cost: 2.8335 data_cost: 0.0017 ips: 28.2333 images/s [10/13 12:54:18] ppdet.engine INFO: Epoch: [9] [ 80/366] learning_rate: 0.399069 loss_vfl: 1.013662 loss_bbox: 0.382688 loss_dfl: 0.220338 loss: 1.602981 eta: 3 days, 10:35:02 batch_cost: 2.8134 data_cost: 0.0016 ips: 28.4350 images/s [10/13 12:55:18] ppdet.engine INFO: Epoch: [9] [100/366] learning_rate: 0.399058 loss_vfl: 0.982206 loss_bbox: 0.378900 loss_dfl: 0.214849 loss: 1.569890 eta: 3 days, 10:34:32 batch_cost: 2.8336 data_cost: 0.0017 ips: 28.2330 images/s [10/13 12:56:16] ppdet.engine INFO: Epoch: [9] [120/366] learning_rate: 0.399047 loss_vfl: 1.012557 loss_bbox: 0.368439 loss_dfl: 0.209386 loss: 1.600405 eta: 3 days, 10:33:37 batch_cost: 2.7967 data_cost: 0.0015 ips: 28.6051 images/s [10/13 12:57:15] ppdet.engine INFO: Epoch: [9] [140/366] learning_rate: 0.399035 loss_vfl: 1.009209 loss_bbox: 0.377906 loss_dfl: 0.219655 loss: 1.598670 eta: 3 days, 10:32:41 batch_cost: 2.7931 data_cost: 0.0015 ips: 28.6420 images/s [10/13 12:58:14] ppdet.engine INFO: Epoch: [9] [160/366] learning_rate: 0.399024 loss_vfl: 1.020160 loss_bbox: 0.371012 loss_dfl: 0.217332 loss: 1.614377 eta: 3 days, 10:31:59 batch_cost: 2.8157 data_cost: 0.0016 ips: 28.4121 images/s [10/13 12:59:12] ppdet.engine INFO: Epoch: [9] [180/366] learning_rate: 0.399013 loss_vfl: 0.997455 loss_bbox: 0.397348 loss_dfl: 0.226101 loss: 1.629534 eta: 3 days, 10:30:39 batch_cost: 2.7549 data_cost: 0.0016 ips: 29.0391 images/s [10/13 13:00:11] ppdet.engine INFO: Epoch: [9] [200/366] learning_rate: 0.399001 loss_vfl: 1.004078 loss_bbox: 0.391554 loss_dfl: 0.227108 loss: 1.615582 eta: 3 days, 10:29:48 batch_cost: 2.8013 data_cost: 0.0016 ips: 28.5579 images/s [10/13 13:01:10] ppdet.engine INFO: Epoch: [9] [220/366] learning_rate: 0.398990 loss_vfl: 1.009107 loss_bbox: 0.392350 loss_dfl: 0.214389 loss: 1.590214 eta: 3 days, 10:29:03 batch_cost: 2.8116 data_cost: 0.0016 ips: 28.4540 images/s [10/13 13:02:08] ppdet.engine INFO: Epoch: [9] [240/366] learning_rate: 0.398978 loss_vfl: 1.007698 loss_bbox: 0.364991 loss_dfl: 0.209787 loss: 1.591812 eta: 3 days, 10:27:41 batch_cost: 2.7504 data_cost: 0.0016 ips: 29.0868 images/s [10/13 13:03:05] ppdet.engine INFO: Epoch: [9] [260/366] learning_rate: 0.398967 loss_vfl: 0.997256 loss_bbox: 0.367197 loss_dfl: 0.216590 loss: 1.599608 eta: 3 days, 10:25:42 batch_cost: 2.6885 data_cost: 0.0015 ips: 29.7565 images/s [10/13 13:04:05] ppdet.engine INFO: Epoch: [9] [280/366] learning_rate: 0.398955 loss_vfl: 1.013019 loss_bbox: 0.370108 loss_dfl: 0.214187 loss: 1.596921 eta: 3 days, 10:25:11 batch_cost: 2.8350 data_cost: 0.0016 ips: 28.2191 images/s [10/13 13:05:04] ppdet.engine INFO: Epoch: [9] [300/366] learning_rate: 0.398944 loss_vfl: 1.007187 loss_bbox: 0.379046 loss_dfl: 0.213619 loss: 1.596330 eta: 3 days, 10:24:32 batch_cost: 2.8209 data_cost: 0.0016 ips: 28.3599 images/s [10/13 13:06:02] ppdet.engine INFO: Epoch: [9] [320/366] learning_rate: 0.398932 loss_vfl: 1.011230 loss_bbox: 0.386357 loss_dfl: 0.221631 loss: 1.618450 eta: 3 days, 10:23:24 batch_cost: 2.7733 data_cost: 0.0015 ips: 28.8467 images/s [10/13 13:07:02] ppdet.engine INFO: Epoch: [9] [340/366] learning_rate: 0.398920 loss_vfl: 1.006901 loss_bbox: 0.370297 loss_dfl: 0.220814 loss: 1.599700 eta: 3 days, 10:22:44 batch_cost: 2.8206 data_cost: 0.0016 ips: 28.3633 images/s [10/13 13:07:56] ppdet.engine INFO: Epoch: [9] [360/366] learning_rate: 0.398908 loss_vfl: 0.984759 loss_bbox: 0.371665 loss_dfl: 0.212951 loss: 1.570799 eta: 3 days, 10:19:37 batch_cost: 2.5669 data_cost: 0.0016 ips: 31.1665 images/s [10/13 13:08:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco loading annotations into memory... Done (t=0.97s) creating index... index created! loading annotations into memory... Done (t=2.26s) creating index... index created! [10/13 13:08:24] ppdet.engine INFO: Eval iter: 0 [10/13 13:08:56] ppdet.engine INFO: Eval iter: 100 [10/13 13:09:21] ppdet.engine INFO: Eval iter: 200 [10/13 13:09:45] ppdet.engine INFO: Eval iter: 300 [10/13 13:10:09] ppdet.engine INFO: Eval iter: 400 [10/13 13:10:33] ppdet.engine INFO: Eval iter: 500 [10/13 13:10:58] ppdet.engine INFO: Eval iter: 600 [10/13 13:11:19] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.04s) creating index... index created! [10/13 13:11:20] 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=103.09s). Accumulating evaluation results... DONE (t=18.56s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.208 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.213 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.064 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.205 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.350 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.221 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.353 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.377 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.120 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.397 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.613 [10/13 13:13:29] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.52064190913843 [10/13 13:13:29] ppdet.engine INFO: Best test bbox ap is 0.208. [10/13 13:13:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 13:13:32] ppdet.engine INFO: Epoch: [10] [ 0/366] learning_rate: 0.398904 loss_vfl: 1.013929 loss_bbox: 0.361845 loss_dfl: 0.214289 loss: 1.592982 eta: 3 days, 10:17:38 batch_cost: 2.4067 data_cost: 0.0017 ips: 33.2410 images/s [10/13 13:14:34] ppdet.engine INFO: Epoch: [10] [ 20/366] learning_rate: 0.398892 loss_vfl: 1.010012 loss_bbox: 0.346554 loss_dfl: 0.208657 loss: 1.563411 eta: 3 days, 10:18:04 batch_cost: 2.9322 data_cost: 0.0020 ips: 27.2829 images/s [10/13 13:15:32] ppdet.engine INFO: Epoch: [10] [ 40/366] learning_rate: 0.398880 loss_vfl: 0.985902 loss_bbox: 0.396734 loss_dfl: 0.224539 loss: 1.607649 eta: 3 days, 10:16:54 batch_cost: 2.7677 data_cost: 0.0017 ips: 28.9046 images/s [10/13 13:16:29] ppdet.engine INFO: Epoch: [10] [ 60/366] learning_rate: 0.398868 loss_vfl: 0.994729 loss_bbox: 0.392992 loss_dfl: 0.221646 loss: 1.612849 eta: 3 days, 10:15:07 batch_cost: 2.7027 data_cost: 0.0016 ips: 29.6004 images/s [10/13 13:17:26] ppdet.engine INFO: Epoch: [10] [ 80/366] learning_rate: 0.398856 loss_vfl: 1.000329 loss_bbox: 0.382368 loss_dfl: 0.219711 loss: 1.604903 eta: 3 days, 10:13:30 batch_cost: 2.7188 data_cost: 0.0016 ips: 29.4249 images/s [10/13 13:18:23] ppdet.engine INFO: Epoch: [10] [100/366] learning_rate: 0.398844 loss_vfl: 1.008261 loss_bbox: 0.367023 loss_dfl: 0.210979 loss: 1.602726 eta: 3 days, 10:11:51 batch_cost: 2.7132 data_cost: 0.0016 ips: 29.4852 images/s [10/13 13:19:20] ppdet.engine INFO: Epoch: [10] [120/366] learning_rate: 0.398831 loss_vfl: 0.994828 loss_bbox: 0.383688 loss_dfl: 0.221084 loss: 1.622740 eta: 3 days, 10:10:02 batch_cost: 2.6965 data_cost: 0.0016 ips: 29.6683 images/s [10/13 13:20:17] ppdet.engine INFO: Epoch: [10] [140/366] learning_rate: 0.398819 loss_vfl: 0.996711 loss_bbox: 0.378918 loss_dfl: 0.221838 loss: 1.607031 eta: 3 days, 10:08:15 batch_cost: 2.6973 data_cost: 0.0016 ips: 29.6593 images/s [10/13 13:21:15] ppdet.engine INFO: Epoch: [10] [160/366] learning_rate: 0.398807 loss_vfl: 1.007697 loss_bbox: 0.386420 loss_dfl: 0.220948 loss: 1.609146 eta: 3 days, 10:06:59 batch_cost: 2.7541 data_cost: 0.0016 ips: 29.0478 images/s [10/13 13:22:15] ppdet.engine INFO: Epoch: [10] [180/366] learning_rate: 0.398794 loss_vfl: 0.995875 loss_bbox: 0.390180 loss_dfl: 0.223969 loss: 1.609783 eta: 3 days, 10:06:40 batch_cost: 2.8559 data_cost: 0.0016 ips: 28.0125 images/s [10/13 13:23:12] ppdet.engine INFO: Epoch: [10] [200/366] learning_rate: 0.398781 loss_vfl: 1.004411 loss_bbox: 0.366947 loss_dfl: 0.212832 loss: 1.578580 eta: 3 days, 10:05:04 batch_cost: 2.7172 data_cost: 0.0016 ips: 29.4419 images/s [10/13 13:24:12] ppdet.engine INFO: Epoch: [10] [220/366] learning_rate: 0.398769 loss_vfl: 0.990758 loss_bbox: 0.384252 loss_dfl: 0.222628 loss: 1.599626 eta: 3 days, 10:04:33 batch_cost: 2.8340 data_cost: 0.0016 ips: 28.2283 images/s [10/13 13:25:12] ppdet.engine INFO: Epoch: [10] [240/366] learning_rate: 0.398756 loss_vfl: 0.994561 loss_bbox: 0.368672 loss_dfl: 0.215396 loss: 1.580366 eta: 3 days, 10:03:50 batch_cost: 2.8128 data_cost: 0.0015 ips: 28.4417 images/s [10/13 13:26:11] ppdet.engine INFO: Epoch: [10] [260/366] learning_rate: 0.398743 loss_vfl: 0.997773 loss_bbox: 0.365829 loss_dfl: 0.213531 loss: 1.595215 eta: 3 days, 10:03:16 batch_cost: 2.8298 data_cost: 0.0015 ips: 28.2709 images/s [10/13 13:27:10] ppdet.engine INFO: Epoch: [10] [280/366] learning_rate: 0.398731 loss_vfl: 1.002049 loss_bbox: 0.373273 loss_dfl: 0.213793 loss: 1.592718 eta: 3 days, 10:02:22 batch_cost: 2.7933 data_cost: 0.0016 ips: 28.6403 images/s [10/13 13:28:07] ppdet.engine INFO: Epoch: [10] [300/366] learning_rate: 0.398718 loss_vfl: 1.011687 loss_bbox: 0.354240 loss_dfl: 0.211314 loss: 1.580292 eta: 3 days, 10:00:43 batch_cost: 2.7100 data_cost: 0.0016 ips: 29.5205 images/s [10/13 13:29:05] ppdet.engine INFO: Epoch: [10] [320/366] learning_rate: 0.398705 loss_vfl: 1.028627 loss_bbox: 0.364736 loss_dfl: 0.211965 loss: 1.603774 eta: 3 days, 9:59:16 batch_cost: 2.7314 data_cost: 0.0015 ips: 29.2886 images/s [10/13 13:30:02] ppdet.engine INFO: Epoch: [10] [340/366] learning_rate: 0.398692 loss_vfl: 1.010177 loss_bbox: 0.359460 loss_dfl: 0.203748 loss: 1.567941 eta: 3 days, 9:57:33 batch_cost: 2.6993 data_cost: 0.0015 ips: 29.6372 images/s [10/13 13:30:52] ppdet.engine INFO: Epoch: [10] [360/366] learning_rate: 0.398678 loss_vfl: 1.011171 loss_bbox: 0.383487 loss_dfl: 0.217655 loss: 1.615964 eta: 3 days, 9:53:08 batch_cost: 2.3914 data_cost: 0.0015 ips: 33.4538 images/s [10/13 13:31:29] ppdet.engine INFO: Epoch: [11] [ 0/366] learning_rate: 0.398675 loss_vfl: 1.002879 loss_bbox: 0.375283 loss_dfl: 0.213879 loss: 1.608113 eta: 3 days, 9:59:35 batch_cost: 3.2318 data_cost: 0.5066 ips: 24.7537 images/s [10/13 13:32:27] ppdet.engine INFO: Epoch: [11] [ 20/366] learning_rate: 0.398661 loss_vfl: 1.008794 loss_bbox: 0.374287 loss_dfl: 0.214853 loss: 1.600061 eta: 3 days, 9:58:18 batch_cost: 2.7513 data_cost: 0.0018 ips: 29.0771 images/s [10/13 13:33:24] ppdet.engine INFO: Epoch: [11] [ 40/366] learning_rate: 0.398648 loss_vfl: 0.977765 loss_bbox: 0.376045 loss_dfl: 0.222307 loss: 1.601959 eta: 3 days, 9:56:28 batch_cost: 2.6850 data_cost: 0.0016 ips: 29.7947 images/s [10/13 13:34:22] ppdet.engine INFO: Epoch: [11] [ 60/366] learning_rate: 0.398635 loss_vfl: 1.006721 loss_bbox: 0.369518 loss_dfl: 0.217707 loss: 1.592173 eta: 3 days, 9:55:26 batch_cost: 2.7772 data_cost: 0.0016 ips: 28.8057 images/s [10/13 13:35:19] ppdet.engine INFO: Epoch: [11] [ 80/366] learning_rate: 0.398621 loss_vfl: 0.999520 loss_bbox: 0.359513 loss_dfl: 0.214839 loss: 1.579452 eta: 3 days, 9:53:42 batch_cost: 2.6971 data_cost: 0.0016 ips: 29.6611 images/s [10/13 13:36:16] ppdet.engine INFO: Epoch: [11] [100/366] learning_rate: 0.398608 loss_vfl: 1.011522 loss_bbox: 0.373760 loss_dfl: 0.216272 loss: 1.606243 eta: 3 days, 9:52:00 batch_cost: 2.6997 data_cost: 0.0015 ips: 29.6332 images/s [10/13 13:37:12] ppdet.engine INFO: Epoch: [11] [120/366] learning_rate: 0.398594 loss_vfl: 0.991510 loss_bbox: 0.367031 loss_dfl: 0.215765 loss: 1.576118 eta: 3 days, 9:49:52 batch_cost: 2.6471 data_cost: 0.0015 ips: 30.2215 images/s [10/13 13:38:08] ppdet.engine INFO: Epoch: [11] [140/366] learning_rate: 0.398581 loss_vfl: 1.011175 loss_bbox: 0.369967 loss_dfl: 0.213343 loss: 1.603533 eta: 3 days, 9:47:46 batch_cost: 2.6498 data_cost: 0.0015 ips: 30.1912 images/s [10/13 13:39:03] ppdet.engine INFO: Epoch: [11] [160/366] learning_rate: 0.398567 loss_vfl: 1.012175 loss_bbox: 0.359090 loss_dfl: 0.206995 loss: 1.574934 eta: 3 days, 9:45:30 batch_cost: 2.6290 data_cost: 0.0016 ips: 30.4295 images/s [10/13 13:39:59] ppdet.engine INFO: Epoch: [11] [180/366] learning_rate: 0.398554 loss_vfl: 0.997536 loss_bbox: 0.378021 loss_dfl: 0.220574 loss: 1.607473 eta: 3 days, 9:43:30 batch_cost: 2.6586 data_cost: 0.0016 ips: 30.0916 images/s [10/13 13:40:55] ppdet.engine INFO: Epoch: [11] [200/366] learning_rate: 0.398540 loss_vfl: 0.990813 loss_bbox: 0.372506 loss_dfl: 0.216999 loss: 1.573066 eta: 3 days, 9:41:36 batch_cost: 2.6685 data_cost: 0.0015 ips: 29.9794 images/s [10/13 13:41:53] ppdet.engine INFO: Epoch: [11] [220/366] learning_rate: 0.398526 loss_vfl: 1.000268 loss_bbox: 0.383066 loss_dfl: 0.227095 loss: 1.617687 eta: 3 days, 9:40:14 batch_cost: 2.7328 data_cost: 0.0016 ips: 29.2735 images/s [10/13 13:42:50] ppdet.engine INFO: Epoch: [11] [240/366] learning_rate: 0.398512 loss_vfl: 0.997065 loss_bbox: 0.358458 loss_dfl: 0.211951 loss: 1.592606 eta: 3 days, 9:38:34 batch_cost: 2.6970 data_cost: 0.0017 ips: 29.6621 images/s [10/13 13:43:47] ppdet.engine INFO: Epoch: [11] [260/366] learning_rate: 0.398498 loss_vfl: 0.995296 loss_bbox: 0.375149 loss_dfl: 0.214808 loss: 1.583293 eta: 3 days, 9:37:08 batch_cost: 2.7219 data_cost: 0.0016 ips: 29.3910 images/s [10/13 13:44:44] ppdet.engine INFO: Epoch: [11] [280/366] learning_rate: 0.398484 loss_vfl: 1.000396 loss_bbox: 0.391996 loss_dfl: 0.221341 loss: 1.610992 eta: 3 days, 9:35:36 batch_cost: 2.7109 data_cost: 0.0017 ips: 29.5107 images/s [10/13 13:45:40] ppdet.engine INFO: Epoch: [11] [300/366] learning_rate: 0.398470 loss_vfl: 1.014263 loss_bbox: 0.367392 loss_dfl: 0.213638 loss: 1.596599 eta: 3 days, 9:33:30 batch_cost: 2.6403 data_cost: 0.0016 ips: 30.2993 images/s [10/13 13:46:37] ppdet.engine INFO: Epoch: [11] [320/366] learning_rate: 0.398456 loss_vfl: 0.981043 loss_bbox: 0.360613 loss_dfl: 0.210940 loss: 1.568437 eta: 3 days, 9:32:00 batch_cost: 2.7138 data_cost: 0.0016 ips: 29.4787 images/s [10/13 13:47:34] ppdet.engine INFO: Epoch: [11] [340/366] learning_rate: 0.398442 loss_vfl: 1.009600 loss_bbox: 0.359001 loss_dfl: 0.210306 loss: 1.601946 eta: 3 days, 9:30:26 batch_cost: 2.7030 data_cost: 0.0022 ips: 29.5970 images/s [10/13 13:48:26] ppdet.engine INFO: Epoch: [11] [360/366] learning_rate: 0.398427 loss_vfl: 1.015078 loss_bbox: 0.367893 loss_dfl: 0.217140 loss: 1.603352 eta: 3 days, 9:26:45 batch_cost: 2.4402 data_cost: 0.0016 ips: 32.7844 images/s [10/13 13:49:03] ppdet.engine INFO: Epoch: [12] [ 0/366] learning_rate: 0.398423 loss_vfl: 1.008953 loss_bbox: 0.355983 loss_dfl: 0.212311 loss: 1.593842 eta: 3 days, 9:32:54 batch_cost: 3.2705 data_cost: 0.4130 ips: 24.4614 images/s [10/13 13:50:00] ppdet.engine INFO: Epoch: [12] [ 20/366] learning_rate: 0.398409 loss_vfl: 0.990832 loss_bbox: 0.371948 loss_dfl: 0.212109 loss: 1.568406 eta: 3 days, 9:31:31 batch_cost: 2.7279 data_cost: 0.0023 ips: 29.3266 images/s [10/13 13:50:57] ppdet.engine INFO: Epoch: [12] [ 40/366] learning_rate: 0.398394 loss_vfl: 0.981848 loss_bbox: 0.379227 loss_dfl: 0.218132 loss: 1.574833 eta: 3 days, 9:29:56 batch_cost: 2.7020 data_cost: 0.0019 ips: 29.6072 images/s [10/13 13:51:55] ppdet.engine INFO: Epoch: [12] [ 60/366] learning_rate: 0.398380 loss_vfl: 0.998835 loss_bbox: 0.369679 loss_dfl: 0.222826 loss: 1.593962 eta: 3 days, 9:28:41 batch_cost: 2.7432 data_cost: 0.0018 ips: 29.1625 images/s [10/13 13:52:52] ppdet.engine INFO: Epoch: [12] [ 80/366] learning_rate: 0.398365 loss_vfl: 0.990297 loss_bbox: 0.370758 loss_dfl: 0.210946 loss: 1.582402 eta: 3 days, 9:27:13 batch_cost: 2.7162 data_cost: 0.0017 ips: 29.4531 images/s [10/13 13:53:49] ppdet.engine INFO: Epoch: [12] [100/366] learning_rate: 0.398350 loss_vfl: 0.992809 loss_bbox: 0.362668 loss_dfl: 0.206124 loss: 1.570938 eta: 3 days, 9:25:39 batch_cost: 2.7025 data_cost: 0.0016 ips: 29.6025 images/s [10/13 13:54:45] ppdet.engine INFO: Epoch: [12] [120/366] learning_rate: 0.398336 loss_vfl: 0.979002 loss_bbox: 0.365871 loss_dfl: 0.211731 loss: 1.555874 eta: 3 days, 9:23:50 batch_cost: 2.6691 data_cost: 0.0016 ips: 29.9729 images/s [10/13 13:55:42] ppdet.engine INFO: Epoch: [12] [140/366] learning_rate: 0.398321 loss_vfl: 0.980839 loss_bbox: 0.374691 loss_dfl: 0.216384 loss: 1.565579 eta: 3 days, 9:22:13 batch_cost: 2.6933 data_cost: 0.0016 ips: 29.7039 images/s [10/13 13:56:39] ppdet.engine INFO: Epoch: [12] [160/366] learning_rate: 0.398306 loss_vfl: 0.983691 loss_bbox: 0.387166 loss_dfl: 0.221244 loss: 1.602223 eta: 3 days, 9:20:25 batch_cost: 2.6695 data_cost: 0.0031 ips: 29.9678 images/s [10/13 13:57:37] ppdet.engine INFO: Epoch: [12] [180/366] learning_rate: 0.398291 loss_vfl: 1.007277 loss_bbox: 0.369203 loss_dfl: 0.218695 loss: 1.597967 eta: 3 days, 9:19:17 batch_cost: 2.7552 data_cost: 0.0016 ips: 29.0361 images/s [10/13 13:58:33] ppdet.engine INFO: Epoch: [12] [200/366] learning_rate: 0.398276 loss_vfl: 0.985695 loss_bbox: 0.378420 loss_dfl: 0.216319 loss: 1.583799 eta: 3 days, 9:17:37 batch_cost: 2.6850 data_cost: 0.0016 ips: 29.7954 images/s [10/13 13:59:30] ppdet.engine INFO: Epoch: [12] [220/366] learning_rate: 0.398261 loss_vfl: 1.006611 loss_bbox: 0.368012 loss_dfl: 0.214529 loss: 1.590392 eta: 3 days, 9:15:56 batch_cost: 2.6822 data_cost: 0.0016 ips: 29.8258 images/s [10/13 14:00:27] ppdet.engine INFO: Epoch: [12] [240/366] learning_rate: 0.398246 loss_vfl: 1.001115 loss_bbox: 0.353156 loss_dfl: 0.212171 loss: 1.586216 eta: 3 days, 9:14:32 batch_cost: 2.7198 data_cost: 0.0016 ips: 29.4137 images/s [10/13 14:01:23] ppdet.engine INFO: Epoch: [12] [260/366] learning_rate: 0.398231 loss_vfl: 0.982729 loss_bbox: 0.361872 loss_dfl: 0.207036 loss: 1.555557 eta: 3 days, 9:12:52 batch_cost: 2.6817 data_cost: 0.0015 ips: 29.8314 images/s [10/13 14:02:21] ppdet.engine INFO: Epoch: [12] [280/366] learning_rate: 0.398216 loss_vfl: 0.997806 loss_bbox: 0.366671 loss_dfl: 0.212554 loss: 1.588834 eta: 3 days, 9:11:29 batch_cost: 2.7197 data_cost: 0.0020 ips: 29.4151 images/s [10/13 14:03:19] ppdet.engine INFO: Epoch: [12] [300/366] learning_rate: 0.398200 loss_vfl: 1.000504 loss_bbox: 0.388501 loss_dfl: 0.220441 loss: 1.622526 eta: 3 days, 9:10:19 batch_cost: 2.7500 data_cost: 0.0016 ips: 29.0914 images/s [10/13 14:04:15] ppdet.engine INFO: Epoch: [12] [320/366] learning_rate: 0.398185 loss_vfl: 1.013973 loss_bbox: 0.360021 loss_dfl: 0.210150 loss: 1.595247 eta: 3 days, 9:08:40 batch_cost: 2.6825 data_cost: 0.0017 ips: 29.8235 images/s [10/13 14:05:11] ppdet.engine INFO: Epoch: [12] [340/366] learning_rate: 0.398170 loss_vfl: 0.988879 loss_bbox: 0.364360 loss_dfl: 0.219560 loss: 1.594112 eta: 3 days, 9:06:52 batch_cost: 2.6610 data_cost: 0.0017 ips: 30.0640 images/s [10/13 14:06:04] ppdet.engine INFO: Epoch: [12] [360/366] learning_rate: 0.398154 loss_vfl: 1.004832 loss_bbox: 0.360497 loss_dfl: 0.207753 loss: 1.593109 eta: 3 days, 9:03:46 batch_cost: 2.4838 data_cost: 0.0017 ips: 32.2091 images/s [10/13 14:06:40] ppdet.engine INFO: Epoch: [13] [ 0/366] learning_rate: 0.398150 loss_vfl: 1.004832 loss_bbox: 0.361996 loss_dfl: 0.209972 loss: 1.585361 eta: 3 days, 9:09:16 batch_cost: 3.2930 data_cost: 0.5303 ips: 24.2942 images/s [10/13 14:07:39] ppdet.engine INFO: Epoch: [13] [ 20/366] learning_rate: 0.398134 loss_vfl: 0.985544 loss_bbox: 0.348463 loss_dfl: 0.203822 loss: 1.538915 eta: 3 days, 9:08:20 batch_cost: 2.7791 data_cost: 0.0016 ips: 28.7866 images/s [10/13 14:08:37] ppdet.engine INFO: Epoch: [13] [ 40/366] learning_rate: 0.398118 loss_vfl: 0.997971 loss_bbox: 0.351374 loss_dfl: 0.211082 loss: 1.564267 eta: 3 days, 9:07:20 batch_cost: 2.7713 data_cost: 0.0016 ips: 28.8674 images/s [10/13 14:09:38] ppdet.engine INFO: Epoch: [13] [ 60/366] learning_rate: 0.398103 loss_vfl: 1.002701 loss_bbox: 0.367036 loss_dfl: 0.212631 loss: 1.565634 eta: 3 days, 9:07:24 batch_cost: 2.9177 data_cost: 0.0016 ips: 27.4185 images/s [10/13 14:10:37] ppdet.engine INFO: Epoch: [13] [ 80/366] learning_rate: 0.398087 loss_vfl: 0.990588 loss_bbox: 0.357093 loss_dfl: 0.209900 loss: 1.566832 eta: 3 days, 9:06:20 batch_cost: 2.7641 data_cost: 0.0016 ips: 28.9428 images/s [10/13 14:11:34] ppdet.engine INFO: Epoch: [13] [100/366] learning_rate: 0.398071 loss_vfl: 1.006891 loss_bbox: 0.362149 loss_dfl: 0.212157 loss: 1.587791 eta: 3 days, 9:04:46 batch_cost: 2.6925 data_cost: 0.0016 ips: 29.7120 images/s [10/13 14:12:32] ppdet.engine INFO: Epoch: [13] [120/366] learning_rate: 0.398055 loss_vfl: 0.989630 loss_bbox: 0.368849 loss_dfl: 0.216663 loss: 1.578553 eta: 3 days, 9:03:50 batch_cost: 2.7796 data_cost: 0.0016 ips: 28.7810 images/s [10/13 14:13:30] ppdet.engine INFO: Epoch: [13] [140/366] learning_rate: 0.398039 loss_vfl: 0.991455 loss_bbox: 0.393950 loss_dfl: 0.224553 loss: 1.598960 eta: 3 days, 9:02:40 batch_cost: 2.7494 data_cost: 0.0015 ips: 29.0971 images/s [10/13 14:14:29] ppdet.engine INFO: Epoch: [13] [160/366] learning_rate: 0.398023 loss_vfl: 1.003492 loss_bbox: 0.373538 loss_dfl: 0.221149 loss: 1.608924 eta: 3 days, 9:01:54 batch_cost: 2.8031 data_cost: 0.0016 ips: 28.5393 images/s [10/13 14:15:27] ppdet.engine INFO: Epoch: [13] [180/366] learning_rate: 0.398007 loss_vfl: 0.988977 loss_bbox: 0.376015 loss_dfl: 0.209323 loss: 1.578107 eta: 3 days, 9:00:45 batch_cost: 2.7495 data_cost: 0.0016 ips: 29.0958 images/s [10/13 14:16:25] ppdet.engine INFO: Epoch: [13] [200/366] learning_rate: 0.397991 loss_vfl: 0.985175 loss_bbox: 0.351616 loss_dfl: 0.210754 loss: 1.567189 eta: 3 days, 8:59:29 batch_cost: 2.7335 data_cost: 0.0015 ips: 29.2663 images/s [10/13 14:17:22] ppdet.engine INFO: Epoch: [13] [220/366] learning_rate: 0.397975 loss_vfl: 1.012535 loss_bbox: 0.388074 loss_dfl: 0.218543 loss: 1.605922 eta: 3 days, 8:58:16 batch_cost: 2.7397 data_cost: 0.0015 ips: 29.2001 images/s [10/13 14:18:20] ppdet.engine INFO: Epoch: [13] [240/366] learning_rate: 0.397959 loss_vfl: 0.986481 loss_bbox: 0.364394 loss_dfl: 0.214416 loss: 1.579581 eta: 3 days, 8:57:15 batch_cost: 2.7674 data_cost: 0.0016 ips: 28.9084 images/s [10/13 14:19:18] ppdet.engine INFO: Epoch: [13] [260/366] learning_rate: 0.397942 loss_vfl: 0.995475 loss_bbox: 0.361063 loss_dfl: 0.207289 loss: 1.553452 eta: 3 days, 8:55:49 batch_cost: 2.7078 data_cost: 0.0016 ips: 29.5438 images/s [10/13 14:20:16] ppdet.engine INFO: Epoch: [13] [280/366] learning_rate: 0.397926 loss_vfl: 1.003662 loss_bbox: 0.392844 loss_dfl: 0.220246 loss: 1.589029 eta: 3 days, 8:54:55 batch_cost: 2.7853 data_cost: 0.0016 ips: 28.7223 images/s [10/13 14:21:13] ppdet.engine INFO: Epoch: [13] [300/366] learning_rate: 0.397909 loss_vfl: 0.980078 loss_bbox: 0.374958 loss_dfl: 0.218883 loss: 1.577330 eta: 3 days, 8:53:33 batch_cost: 2.7155 data_cost: 0.0016 ips: 29.4600 images/s [10/13 14:22:12] ppdet.engine INFO: Epoch: [13] [320/366] learning_rate: 0.397893 loss_vfl: 1.010940 loss_bbox: 0.377636 loss_dfl: 0.215603 loss: 1.594278 eta: 3 days, 8:52:32 batch_cost: 2.7680 data_cost: 0.0015 ips: 28.9019 images/s [10/13 14:23:10] ppdet.engine INFO: Epoch: [13] [340/366] learning_rate: 0.397876 loss_vfl: 0.994712 loss_bbox: 0.395686 loss_dfl: 0.223375 loss: 1.613773 eta: 3 days, 8:51:27 batch_cost: 2.7573 data_cost: 0.0016 ips: 29.0136 images/s [10/13 14:24:03] ppdet.engine INFO: Epoch: [13] [360/366] learning_rate: 0.397859 loss_vfl: 0.974292 loss_bbox: 0.366798 loss_dfl: 0.217631 loss: 1.570029 eta: 3 days, 8:48:29 batch_cost: 2.4802 data_cost: 0.0016 ips: 32.2554 images/s [10/13 14:24:38] ppdet.engine INFO: Epoch: [14] [ 0/366] learning_rate: 0.397854 loss_vfl: 0.986136 loss_bbox: 0.366798 loss_dfl: 0.213349 loss: 1.577652 eta: 3 days, 8:53:00 batch_cost: 3.2044 data_cost: 0.2606 ips: 24.9660 images/s [10/13 14:25:38] ppdet.engine INFO: Epoch: [14] [ 20/366] learning_rate: 0.397838 loss_vfl: 0.994947 loss_bbox: 0.362934 loss_dfl: 0.210864 loss: 1.577764 eta: 3 days, 8:52:36 batch_cost: 2.8585 data_cost: 0.0018 ips: 27.9868 images/s [10/13 14:26:36] ppdet.engine INFO: Epoch: [14] [ 40/366] learning_rate: 0.397821 loss_vfl: 1.002689 loss_bbox: 0.348292 loss_dfl: 0.209656 loss: 1.559794 eta: 3 days, 8:51:36 batch_cost: 2.7728 data_cost: 0.0016 ips: 28.8517 images/s [10/13 14:27:34] ppdet.engine INFO: Epoch: [14] [ 60/366] learning_rate: 0.397804 loss_vfl: 1.005553 loss_bbox: 0.361260 loss_dfl: 0.210813 loss: 1.575987 eta: 3 days, 8:50:21 batch_cost: 2.7338 data_cost: 0.0022 ips: 29.2631 images/s [10/13 14:28:33] ppdet.engine INFO: Epoch: [14] [ 80/366] learning_rate: 0.397787 loss_vfl: 0.982260 loss_bbox: 0.366920 loss_dfl: 0.215974 loss: 1.583501 eta: 3 days, 8:49:48 batch_cost: 2.8389 data_cost: 0.0016 ips: 28.1798 images/s [10/13 14:29:32] ppdet.engine INFO: Epoch: [14] [100/366] learning_rate: 0.397770 loss_vfl: 0.988808 loss_bbox: 0.365714 loss_dfl: 0.211208 loss: 1.560968 eta: 3 days, 8:48:51 batch_cost: 2.7789 data_cost: 0.0016 ips: 28.7887 images/s [10/13 14:30:30] ppdet.engine INFO: Epoch: [14] [120/366] learning_rate: 0.397753 loss_vfl: 0.985439 loss_bbox: 0.361318 loss_dfl: 0.210511 loss: 1.567765 eta: 3 days, 8:47:39 batch_cost: 2.7389 data_cost: 0.0016 ips: 29.2084 images/s [10/13 14:31:29] ppdet.engine INFO: Epoch: [14] [140/366] learning_rate: 0.397736 loss_vfl: 0.997371 loss_bbox: 0.368833 loss_dfl: 0.210014 loss: 1.568640 eta: 3 days, 8:46:47 batch_cost: 2.7919 data_cost: 0.0016 ips: 28.6543 images/s [10/13 14:32:27] ppdet.engine INFO: Epoch: [14] [160/366] learning_rate: 0.397719 loss_vfl: 0.995034 loss_bbox: 0.360908 loss_dfl: 0.210528 loss: 1.553821 eta: 3 days, 8:45:26 batch_cost: 2.7174 data_cost: 0.0078 ips: 29.4395 images/s [10/13 14:33:24] ppdet.engine INFO: Epoch: [14] [180/366] learning_rate: 0.397701 loss_vfl: 0.980021 loss_bbox: 0.357241 loss_dfl: 0.212037 loss: 1.538091 eta: 3 days, 8:43:55 batch_cost: 2.6922 data_cost: 0.0015 ips: 29.7154 images/s [10/13 14:34:21] ppdet.engine INFO: Epoch: [14] [200/366] learning_rate: 0.397684 loss_vfl: 0.995686 loss_bbox: 0.333245 loss_dfl: 0.195393 loss: 1.538473 eta: 3 days, 8:42:31 batch_cost: 2.7092 data_cost: 0.0016 ips: 29.5287 images/s [10/13 14:35:19] ppdet.engine INFO: Epoch: [14] [220/366] learning_rate: 0.397667 loss_vfl: 0.995159 loss_bbox: 0.363287 loss_dfl: 0.212177 loss: 1.572966 eta: 3 days, 8:41:32 batch_cost: 2.7729 data_cost: 0.0016 ips: 28.8502 images/s [10/13 14:36:17] ppdet.engine INFO: Epoch: [14] [240/366] learning_rate: 0.397649 loss_vfl: 0.976467 loss_bbox: 0.371383 loss_dfl: 0.215036 loss: 1.551765 eta: 3 days, 8:40:22 batch_cost: 2.7423 data_cost: 0.0015 ips: 29.1721 images/s [10/13 14:37:15] ppdet.engine INFO: Epoch: [14] [260/366] learning_rate: 0.397632 loss_vfl: 0.973624 loss_bbox: 0.367181 loss_dfl: 0.213866 loss: 1.571512 eta: 3 days, 8:39:16 batch_cost: 2.7557 data_cost: 0.0016 ips: 29.0303 images/s [10/13 14:38:14] ppdet.engine INFO: Epoch: [14] [280/366] learning_rate: 0.397614 loss_vfl: 0.990373 loss_bbox: 0.351580 loss_dfl: 0.206539 loss: 1.559843 eta: 3 days, 8:38:23 batch_cost: 2.7874 data_cost: 0.0015 ips: 28.7003 images/s [10/13 14:39:11] ppdet.engine INFO: Epoch: [14] [300/366] learning_rate: 0.397596 loss_vfl: 1.018794 loss_bbox: 0.361467 loss_dfl: 0.216306 loss: 1.598315 eta: 3 days, 8:36:54 batch_cost: 2.6927 data_cost: 0.0016 ips: 29.7101 images/s [10/13 14:40:08] ppdet.engine INFO: Epoch: [14] [320/366] learning_rate: 0.397579 loss_vfl: 0.996122 loss_bbox: 0.374710 loss_dfl: 0.216497 loss: 1.580970 eta: 3 days, 8:35:40 batch_cost: 2.7323 data_cost: 0.0016 ips: 29.2792 images/s [10/13 14:41:04] ppdet.engine INFO: Epoch: [14] [340/366] learning_rate: 0.397561 loss_vfl: 0.990228 loss_bbox: 0.365933 loss_dfl: 0.214956 loss: 1.573384 eta: 3 days, 8:34:03 batch_cost: 2.6717 data_cost: 0.0015 ips: 29.9440 images/s [10/13 14:41:57] ppdet.engine INFO: Epoch: [14] [360/366] learning_rate: 0.397543 loss_vfl: 0.989177 loss_bbox: 0.396100 loss_dfl: 0.222236 loss: 1.592967 eta: 3 days, 8:31:23 batch_cost: 2.5058 data_cost: 0.0016 ips: 31.9259 images/s [10/13 14:42:34] ppdet.engine INFO: Epoch: [15] [ 0/366] learning_rate: 0.397538 loss_vfl: 0.992563 loss_bbox: 0.391799 loss_dfl: 0.217712 loss: 1.585760 eta: 3 days, 8:36:20 batch_cost: 3.3605 data_cost: 0.6079 ips: 23.8059 images/s [10/13 14:43:33] ppdet.engine INFO: Epoch: [15] [ 20/366] learning_rate: 0.397520 loss_vfl: 1.003659 loss_bbox: 0.365926 loss_dfl: 0.211977 loss: 1.558658 eta: 3 days, 8:35:18 batch_cost: 2.7660 data_cost: 0.0016 ips: 28.9231 images/s [10/13 14:44:30] ppdet.engine INFO: Epoch: [15] [ 40/366] learning_rate: 0.397502 loss_vfl: 0.996701 loss_bbox: 0.345238 loss_dfl: 0.200324 loss: 1.538912 eta: 3 days, 8:33:58 batch_cost: 2.7169 data_cost: 0.0016 ips: 29.4455 images/s [10/13 14:45:28] ppdet.engine INFO: Epoch: [15] [ 60/366] learning_rate: 0.397484 loss_vfl: 1.000798 loss_bbox: 0.355601 loss_dfl: 0.211324 loss: 1.577127 eta: 3 days, 8:32:49 batch_cost: 2.7444 data_cost: 0.0016 ips: 29.1499 images/s [10/13 14:46:26] ppdet.engine INFO: Epoch: [15] [ 80/366] learning_rate: 0.397466 loss_vfl: 0.983191 loss_bbox: 0.378458 loss_dfl: 0.215229 loss: 1.573914 eta: 3 days, 8:31:47 batch_cost: 2.7646 data_cost: 0.0016 ips: 28.9374 images/s [10/13 14:47:26] ppdet.engine INFO: Epoch: [15] [100/366] learning_rate: 0.397447 loss_vfl: 0.993227 loss_bbox: 0.367265 loss_dfl: 0.207198 loss: 1.564055 eta: 3 days, 8:31:04 batch_cost: 2.8158 data_cost: 0.0016 ips: 28.4107 images/s [10/13 14:48:24] ppdet.engine INFO: Epoch: [15] [120/366] learning_rate: 0.397429 loss_vfl: 0.993793 loss_bbox: 0.375110 loss_dfl: 0.217305 loss: 1.580620 eta: 3 days, 8:29:58 batch_cost: 2.7541 data_cost: 0.0016 ips: 29.0481 images/s [10/13 14:49:23] ppdet.engine INFO: Epoch: [15] [140/366] learning_rate: 0.397411 loss_vfl: 1.003116 loss_bbox: 0.364919 loss_dfl: 0.210735 loss: 1.568895 eta: 3 days, 8:29:03 batch_cost: 2.7838 data_cost: 0.0016 ips: 28.7377 images/s [10/13 14:50:23] ppdet.engine INFO: Epoch: [15] [160/366] learning_rate: 0.397392 loss_vfl: 0.969951 loss_bbox: 0.365684 loss_dfl: 0.211359 loss: 1.534044 eta: 3 days, 8:28:23 batch_cost: 2.8229 data_cost: 0.0016 ips: 28.3393 images/s [10/13 14:51:21] ppdet.engine INFO: Epoch: [15] [180/366] learning_rate: 0.397374 loss_vfl: 0.998958 loss_bbox: 0.342601 loss_dfl: 0.206979 loss: 1.541503 eta: 3 days, 8:27:21 batch_cost: 2.7642 data_cost: 0.0015 ips: 28.9416 images/s [10/13 14:52:20] ppdet.engine INFO: Epoch: [15] [200/366] learning_rate: 0.397355 loss_vfl: 1.002342 loss_bbox: 0.366050 loss_dfl: 0.218903 loss: 1.565815 eta: 3 days, 8:26:33 batch_cost: 2.8015 data_cost: 0.0015 ips: 28.5560 images/s [10/13 14:53:18] ppdet.engine INFO: Epoch: [15] [220/366] learning_rate: 0.397337 loss_vfl: 0.992016 loss_bbox: 0.332298 loss_dfl: 0.196632 loss: 1.532788 eta: 3 days, 8:25:19 batch_cost: 2.7315 data_cost: 0.0016 ips: 29.2884 images/s [10/13 14:54:15] ppdet.engine INFO: Epoch: [15] [240/366] learning_rate: 0.397318 loss_vfl: 0.990565 loss_bbox: 0.353634 loss_dfl: 0.202215 loss: 1.561189 eta: 3 days, 8:23:59 batch_cost: 2.7163 data_cost: 0.0016 ips: 29.4514 images/s [10/13 14:55:14] ppdet.engine INFO: Epoch: [15] [260/366] learning_rate: 0.397299 loss_vfl: 1.017708 loss_bbox: 0.373891 loss_dfl: 0.211238 loss: 1.583738 eta: 3 days, 8:23:05 batch_cost: 2.7841 data_cost: 0.0016 ips: 28.7350 images/s [10/13 14:56:12] ppdet.engine INFO: Epoch: [15] [280/366] learning_rate: 0.397281 loss_vfl: 0.998676 loss_bbox: 0.362282 loss_dfl: 0.218731 loss: 1.586352 eta: 3 days, 8:21:58 batch_cost: 2.7511 data_cost: 0.0016 ips: 29.0791 images/s [10/13 14:57:13] ppdet.engine INFO: Epoch: [15] [300/366] learning_rate: 0.397262 loss_vfl: 0.997124 loss_bbox: 0.371760 loss_dfl: 0.212672 loss: 1.584620 eta: 3 days, 8:21:41 batch_cost: 2.8884 data_cost: 0.0015 ips: 27.6970 images/s [10/13 14:58:12] ppdet.engine INFO: Epoch: [15] [320/366] learning_rate: 0.397243 loss_vfl: 0.993001 loss_bbox: 0.382652 loss_dfl: 0.218194 loss: 1.594684 eta: 3 days, 8:20:55 batch_cost: 2.8069 data_cost: 0.0017 ips: 28.5008 images/s [10/13 14:59:09] ppdet.engine INFO: Epoch: [15] [340/366] learning_rate: 0.397224 loss_vfl: 0.993981 loss_bbox: 0.369228 loss_dfl: 0.212023 loss: 1.552672 eta: 3 days, 8:19:38 batch_cost: 2.7218 data_cost: 0.0016 ips: 29.3924 images/s [10/13 15:00:02] ppdet.engine INFO: Epoch: [15] [360/366] learning_rate: 0.397205 loss_vfl: 0.993851 loss_bbox: 0.351894 loss_dfl: 0.207890 loss: 1.574388 eta: 3 days, 8:17:10 batch_cost: 2.5222 data_cost: 0.0016 ips: 31.7184 images/s [10/13 15:00:40] ppdet.engine INFO: Epoch: [16] [ 0/366] learning_rate: 0.397199 loss_vfl: 0.993851 loss_bbox: 0.352636 loss_dfl: 0.208076 loss: 1.560087 eta: 3 days, 8:21:55 batch_cost: 3.3547 data_cost: 0.6083 ips: 23.8475 images/s [10/13 15:01:37] ppdet.engine INFO: Epoch: [16] [ 20/366] learning_rate: 0.397180 loss_vfl: 0.985958 loss_bbox: 0.373464 loss_dfl: 0.220098 loss: 1.577813 eta: 3 days, 8:20:33 batch_cost: 2.7084 data_cost: 0.0019 ips: 29.5380 images/s [10/13 15:02:36] ppdet.engine INFO: Epoch: [16] [ 40/366] learning_rate: 0.397161 loss_vfl: 0.986310 loss_bbox: 0.374304 loss_dfl: 0.214294 loss: 1.571020 eta: 3 days, 8:19:40 batch_cost: 2.7928 data_cost: 0.0017 ips: 28.6455 images/s [10/13 15:03:35] ppdet.engine INFO: Epoch: [16] [ 60/366] learning_rate: 0.397142 loss_vfl: 0.991359 loss_bbox: 0.388692 loss_dfl: 0.222179 loss: 1.597624 eta: 3 days, 8:18:45 batch_cost: 2.7848 data_cost: 0.0016 ips: 28.7272 images/s [10/13 15:04:33] ppdet.engine INFO: Epoch: [16] [ 80/366] learning_rate: 0.397122 loss_vfl: 1.014442 loss_bbox: 0.357343 loss_dfl: 0.211865 loss: 1.588941 eta: 3 days, 8:17:35 batch_cost: 2.7417 data_cost: 0.0017 ips: 29.1794 images/s [10/13 15:05:32] ppdet.engine INFO: Epoch: [16] [100/366] learning_rate: 0.397103 loss_vfl: 0.988090 loss_bbox: 0.361693 loss_dfl: 0.208047 loss: 1.553826 eta: 3 days, 8:16:35 batch_cost: 2.7700 data_cost: 0.0022 ips: 28.8812 images/s [10/13 15:06:29] ppdet.engine INFO: Epoch: [16] [120/366] learning_rate: 0.397084 loss_vfl: 0.976003 loss_bbox: 0.351091 loss_dfl: 0.203588 loss: 1.540812 eta: 3 days, 8:15:12 batch_cost: 2.7056 data_cost: 0.0015 ips: 29.5682 images/s [10/13 15:07:27] ppdet.engine INFO: Epoch: [16] [140/366] learning_rate: 0.397064 loss_vfl: 1.001099 loss_bbox: 0.345145 loss_dfl: 0.203850 loss: 1.540339 eta: 3 days, 8:14:12 batch_cost: 2.7689 data_cost: 0.0016 ips: 28.8920 images/s [10/13 15:08:26] ppdet.engine INFO: Epoch: [16] [160/366] learning_rate: 0.397044 loss_vfl: 1.003915 loss_bbox: 0.366777 loss_dfl: 0.209839 loss: 1.557871 eta: 3 days, 8:13:20 batch_cost: 2.7928 data_cost: 0.0017 ips: 28.6453 images/s [10/13 15:09:22] ppdet.engine INFO: Epoch: [16] [180/366] learning_rate: 0.397025 loss_vfl: 0.987005 loss_bbox: 0.369936 loss_dfl: 0.218081 loss: 1.571690 eta: 3 days, 8:11:51 batch_cost: 2.6849 data_cost: 0.0016 ips: 29.7963 images/s [10/13 15:10:22] ppdet.engine INFO: Epoch: [16] [200/366] learning_rate: 0.397005 loss_vfl: 1.000067 loss_bbox: 0.371252 loss_dfl: 0.225664 loss: 1.581497 eta: 3 days, 8:11:05 batch_cost: 2.8113 data_cost: 0.0017 ips: 28.4565 images/s [10/13 15:11:20] ppdet.engine INFO: Epoch: [16] [220/366] learning_rate: 0.396985 loss_vfl: 0.992065 loss_bbox: 0.370280 loss_dfl: 0.211842 loss: 1.579200 eta: 3 days, 8:10:04 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9154 images/s [10/13 15:12:19] ppdet.engine INFO: Epoch: [16] [240/366] learning_rate: 0.396966 loss_vfl: 0.995530 loss_bbox: 0.353810 loss_dfl: 0.204159 loss: 1.569668 eta: 3 days, 8:09:13 batch_cost: 2.7977 data_cost: 0.0016 ips: 28.5949 images/s [10/13 15:13:16] ppdet.engine INFO: Epoch: [16] [260/366] learning_rate: 0.396946 loss_vfl: 0.986132 loss_bbox: 0.365168 loss_dfl: 0.218607 loss: 1.581188 eta: 3 days, 8:07:58 batch_cost: 2.7246 data_cost: 0.0017 ips: 29.3622 images/s [10/13 15:14:13] ppdet.engine INFO: Epoch: [16] [280/366] learning_rate: 0.396926 loss_vfl: 0.991484 loss_bbox: 0.358104 loss_dfl: 0.211904 loss: 1.568065 eta: 3 days, 8:06:37 batch_cost: 2.7057 data_cost: 0.0016 ips: 29.5676 images/s [10/13 15:15:12] ppdet.engine INFO: Epoch: [16] [300/366] learning_rate: 0.396906 loss_vfl: 0.987013 loss_bbox: 0.362250 loss_dfl: 0.215712 loss: 1.576455 eta: 3 days, 8:05:46 batch_cost: 2.7961 data_cost: 0.0015 ips: 28.6113 images/s [10/13 15:16:09] ppdet.engine INFO: Epoch: [16] [320/366] learning_rate: 0.396886 loss_vfl: 0.994903 loss_bbox: 0.357052 loss_dfl: 0.211009 loss: 1.571133 eta: 3 days, 8:04:28 batch_cost: 2.7178 data_cost: 0.0016 ips: 29.4359 images/s [10/13 15:17:08] ppdet.engine INFO: Epoch: [16] [340/366] learning_rate: 0.396865 loss_vfl: 0.988077 loss_bbox: 0.363589 loss_dfl: 0.214314 loss: 1.571639 eta: 3 days, 8:03:31 batch_cost: 2.7777 data_cost: 0.0016 ips: 28.8006 images/s [10/13 15:18:01] ppdet.engine INFO: Epoch: [16] [360/366] learning_rate: 0.396845 loss_vfl: 0.989185 loss_bbox: 0.353051 loss_dfl: 0.206633 loss: 1.561081 eta: 3 days, 8:01:12 batch_cost: 2.5292 data_cost: 0.0016 ips: 31.6302 images/s [10/13 15:18:38] ppdet.engine INFO: Epoch: [17] [ 0/366] learning_rate: 0.396839 loss_vfl: 0.992916 loss_bbox: 0.344659 loss_dfl: 0.200755 loss: 1.543262 eta: 3 days, 8:05:15 batch_cost: 3.2948 data_cost: 0.4753 ips: 24.2810 images/s [10/13 15:19:36] ppdet.engine INFO: Epoch: [17] [ 20/366] learning_rate: 0.396819 loss_vfl: 0.983817 loss_bbox: 0.353183 loss_dfl: 0.213318 loss: 1.542867 eta: 3 days, 8:04:05 batch_cost: 2.7419 data_cost: 0.0017 ips: 29.1771 images/s [10/13 15:20:33] ppdet.engine INFO: Epoch: [17] [ 40/366] learning_rate: 0.396798 loss_vfl: 0.992860 loss_bbox: 0.357115 loss_dfl: 0.205416 loss: 1.559648 eta: 3 days, 8:02:46 batch_cost: 2.7120 data_cost: 0.0016 ips: 29.4982 images/s [10/13 15:21:32] ppdet.engine INFO: Epoch: [17] [ 60/366] learning_rate: 0.396778 loss_vfl: 0.985166 loss_bbox: 0.364666 loss_dfl: 0.209236 loss: 1.559485 eta: 3 days, 8:01:55 batch_cost: 2.7979 data_cost: 0.0022 ips: 28.5925 images/s [10/13 15:22:31] ppdet.engine INFO: Epoch: [17] [ 80/366] learning_rate: 0.396758 loss_vfl: 0.975385 loss_bbox: 0.359997 loss_dfl: 0.210011 loss: 1.559801 eta: 3 days, 8:00:59 batch_cost: 2.7826 data_cost: 0.0017 ips: 28.7497 images/s [10/13 15:23:28] ppdet.engine INFO: Epoch: [17] [100/366] learning_rate: 0.396737 loss_vfl: 0.977601 loss_bbox: 0.361967 loss_dfl: 0.207674 loss: 1.553961 eta: 3 days, 7:59:52 batch_cost: 2.7458 data_cost: 0.0016 ips: 29.1358 images/s [10/13 15:24:27] ppdet.engine INFO: Epoch: [17] [120/366] learning_rate: 0.396716 loss_vfl: 0.993192 loss_bbox: 0.356841 loss_dfl: 0.206961 loss: 1.564653 eta: 3 days, 7:58:54 batch_cost: 2.7770 data_cost: 0.0017 ips: 28.8080 images/s [10/13 15:25:25] ppdet.engine INFO: Epoch: [17] [140/366] learning_rate: 0.396696 loss_vfl: 0.988850 loss_bbox: 0.366686 loss_dfl: 0.213076 loss: 1.575888 eta: 3 days, 7:57:52 batch_cost: 2.7646 data_cost: 0.0016 ips: 28.9368 images/s [10/13 15:26:25] ppdet.engine INFO: Epoch: [17] [160/366] learning_rate: 0.396675 loss_vfl: 0.988186 loss_bbox: 0.366868 loss_dfl: 0.213807 loss: 1.559068 eta: 3 days, 7:57:07 batch_cost: 2.8149 data_cost: 0.0016 ips: 28.4207 images/s [10/13 15:27:23] ppdet.engine INFO: Epoch: [17] [180/366] learning_rate: 0.396654 loss_vfl: 0.997462 loss_bbox: 0.338592 loss_dfl: 0.197132 loss: 1.531554 eta: 3 days, 7:56:03 batch_cost: 2.7585 data_cost: 0.0015 ips: 29.0010 images/s [10/13 15:28:21] ppdet.engine INFO: Epoch: [17] [200/366] learning_rate: 0.396633 loss_vfl: 0.979721 loss_bbox: 0.348873 loss_dfl: 0.209734 loss: 1.540367 eta: 3 days, 7:55:04 batch_cost: 2.7725 data_cost: 0.0015 ips: 28.8551 images/s [10/13 15:29:20] ppdet.engine INFO: Epoch: [17] [220/366] learning_rate: 0.396612 loss_vfl: 0.981421 loss_bbox: 0.335613 loss_dfl: 0.196662 loss: 1.527014 eta: 3 days, 7:54:18 batch_cost: 2.8138 data_cost: 0.0017 ips: 28.4317 images/s [10/13 15:30:19] ppdet.engine INFO: Epoch: [17] [240/366] learning_rate: 0.396591 loss_vfl: 0.979895 loss_bbox: 0.356671 loss_dfl: 0.208470 loss: 1.561702 eta: 3 days, 7:53:18 batch_cost: 2.7672 data_cost: 0.0017 ips: 28.9100 images/s [10/13 15:31:17] ppdet.engine INFO: Epoch: [17] [260/366] learning_rate: 0.396570 loss_vfl: 0.988894 loss_bbox: 0.359035 loss_dfl: 0.213749 loss: 1.558550 eta: 3 days, 7:52:15 batch_cost: 2.7606 data_cost: 0.0017 ips: 28.9788 images/s [10/13 15:32:16] ppdet.engine INFO: Epoch: [17] [280/366] learning_rate: 0.396549 loss_vfl: 0.991750 loss_bbox: 0.340019 loss_dfl: 0.204886 loss: 1.540866 eta: 3 days, 7:51:20 batch_cost: 2.7870 data_cost: 0.0016 ips: 28.7046 images/s [10/13 15:33:15] ppdet.engine INFO: Epoch: [17] [300/366] learning_rate: 0.396528 loss_vfl: 0.993116 loss_bbox: 0.367075 loss_dfl: 0.211109 loss: 1.569520 eta: 3 days, 7:50:31 batch_cost: 2.8033 data_cost: 0.0016 ips: 28.5377 images/s [10/13 15:34:12] ppdet.engine INFO: Epoch: [17] [320/366] learning_rate: 0.396507 loss_vfl: 0.976059 loss_bbox: 0.355634 loss_dfl: 0.202851 loss: 1.538310 eta: 3 days, 7:49:23 batch_cost: 2.7437 data_cost: 0.0016 ips: 29.1582 images/s [10/13 15:35:11] ppdet.engine INFO: Epoch: [17] [340/366] learning_rate: 0.396485 loss_vfl: 0.989763 loss_bbox: 0.371163 loss_dfl: 0.214149 loss: 1.569063 eta: 3 days, 7:48:28 batch_cost: 2.7840 data_cost: 0.0016 ips: 28.7355 images/s [10/13 15:36:04] ppdet.engine INFO: Epoch: [17] [360/366] learning_rate: 0.396464 loss_vfl: 0.996631 loss_bbox: 0.348775 loss_dfl: 0.202971 loss: 1.535906 eta: 3 days, 7:46:11 batch_cost: 2.5236 data_cost: 0.0015 ips: 31.7005 images/s [10/13 15:36:43] ppdet.engine INFO: Epoch: [18] [ 0/366] learning_rate: 0.396457 loss_vfl: 0.987166 loss_bbox: 0.358615 loss_dfl: 0.206051 loss: 1.526065 eta: 3 days, 7:50:32 batch_cost: 3.4180 data_cost: 0.5938 ips: 23.4058 images/s [10/13 15:37:42] ppdet.engine INFO: Epoch: [18] [ 20/366] learning_rate: 0.396436 loss_vfl: 0.991672 loss_bbox: 0.360727 loss_dfl: 0.207175 loss: 1.545660 eta: 3 days, 7:49:28 batch_cost: 2.7578 data_cost: 0.0018 ips: 29.0091 images/s [10/13 15:38:40] ppdet.engine INFO: Epoch: [18] [ 40/366] learning_rate: 0.396414 loss_vfl: 0.965658 loss_bbox: 0.362049 loss_dfl: 0.208940 loss: 1.537621 eta: 3 days, 7:48:36 batch_cost: 2.7955 data_cost: 0.0018 ips: 28.6176 images/s [10/13 15:39:39] ppdet.engine INFO: Epoch: [18] [ 60/366] learning_rate: 0.396393 loss_vfl: 0.981819 loss_bbox: 0.374004 loss_dfl: 0.212536 loss: 1.574180 eta: 3 days, 7:47:31 batch_cost: 2.7557 data_cost: 0.0016 ips: 29.0305 images/s [10/13 15:40:37] ppdet.engine INFO: Epoch: [18] [ 80/366] learning_rate: 0.396371 loss_vfl: 0.975099 loss_bbox: 0.361171 loss_dfl: 0.212104 loss: 1.550135 eta: 3 days, 7:46:25 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0668 images/s [10/13 15:41:35] ppdet.engine INFO: Epoch: [18] [100/366] learning_rate: 0.396349 loss_vfl: 0.987459 loss_bbox: 0.356058 loss_dfl: 0.212628 loss: 1.549947 eta: 3 days, 7:45:24 batch_cost: 2.7645 data_cost: 0.0016 ips: 28.9385 images/s [10/13 15:42:34] ppdet.engine INFO: Epoch: [18] [120/366] learning_rate: 0.396328 loss_vfl: 0.977713 loss_bbox: 0.349532 loss_dfl: 0.208152 loss: 1.531818 eta: 3 days, 7:44:29 batch_cost: 2.7878 data_cost: 0.0021 ips: 28.6964 images/s [10/13 15:43:31] ppdet.engine INFO: Epoch: [18] [140/366] learning_rate: 0.396306 loss_vfl: 0.977659 loss_bbox: 0.367957 loss_dfl: 0.219835 loss: 1.579405 eta: 3 days, 7:43:14 batch_cost: 2.7225 data_cost: 0.0016 ips: 29.3849 images/s [10/13 15:44:29] ppdet.engine INFO: Epoch: [18] [160/366] learning_rate: 0.396284 loss_vfl: 0.966630 loss_bbox: 0.359849 loss_dfl: 0.213077 loss: 1.536391 eta: 3 days, 7:42:04 batch_cost: 2.7359 data_cost: 0.0017 ips: 29.2407 images/s [10/13 15:45:27] ppdet.engine INFO: Epoch: [18] [180/366] learning_rate: 0.396262 loss_vfl: 0.972105 loss_bbox: 0.360166 loss_dfl: 0.210521 loss: 1.553061 eta: 3 days, 7:40:50 batch_cost: 2.7253 data_cost: 0.0016 ips: 29.3541 images/s [10/13 15:46:25] ppdet.engine INFO: Epoch: [18] [200/366] learning_rate: 0.396240 loss_vfl: 0.977575 loss_bbox: 0.367447 loss_dfl: 0.216392 loss: 1.554209 eta: 3 days, 7:39:51 batch_cost: 2.7722 data_cost: 0.0016 ips: 28.8578 images/s [10/13 15:47:24] ppdet.engine INFO: Epoch: [18] [220/366] learning_rate: 0.396218 loss_vfl: 0.991269 loss_bbox: 0.356433 loss_dfl: 0.207663 loss: 1.561522 eta: 3 days, 7:38:52 batch_cost: 2.7737 data_cost: 0.0016 ips: 28.8424 images/s [10/13 15:48:23] ppdet.engine INFO: Epoch: [18] [240/366] learning_rate: 0.396195 loss_vfl: 0.991252 loss_bbox: 0.348825 loss_dfl: 0.202771 loss: 1.554708 eta: 3 days, 7:37:58 batch_cost: 2.7888 data_cost: 0.0017 ips: 28.6857 images/s [10/13 15:49:21] ppdet.engine INFO: Epoch: [18] [260/366] learning_rate: 0.396173 loss_vfl: 0.983746 loss_bbox: 0.364900 loss_dfl: 0.209296 loss: 1.537070 eta: 3 days, 7:37:04 batch_cost: 2.7899 data_cost: 0.0016 ips: 28.6747 images/s [10/13 15:50:19] ppdet.engine INFO: Epoch: [18] [280/366] learning_rate: 0.396151 loss_vfl: 1.010391 loss_bbox: 0.349813 loss_dfl: 0.203493 loss: 1.577101 eta: 3 days, 7:35:56 batch_cost: 2.7421 data_cost: 0.0016 ips: 29.1746 images/s [10/13 15:51:16] ppdet.engine INFO: Epoch: [18] [300/366] learning_rate: 0.396129 loss_vfl: 0.987006 loss_bbox: 0.380255 loss_dfl: 0.217736 loss: 1.579768 eta: 3 days, 7:34:29 batch_cost: 2.6814 data_cost: 0.0016 ips: 29.8350 images/s [10/13 15:52:15] ppdet.engine INFO: Epoch: [18] [320/366] learning_rate: 0.396106 loss_vfl: 0.976627 loss_bbox: 0.366126 loss_dfl: 0.209467 loss: 1.556270 eta: 3 days, 7:33:34 batch_cost: 2.7868 data_cost: 0.0016 ips: 28.7071 images/s [10/13 15:53:12] ppdet.engine INFO: Epoch: [18] [340/366] learning_rate: 0.396084 loss_vfl: 0.987300 loss_bbox: 0.375424 loss_dfl: 0.216999 loss: 1.588931 eta: 3 days, 7:32:14 batch_cost: 2.7009 data_cost: 0.0016 ips: 29.6200 images/s [10/13 15:54:05] ppdet.engine INFO: Epoch: [18] [360/366] learning_rate: 0.396061 loss_vfl: 0.977965 loss_bbox: 0.367482 loss_dfl: 0.206741 loss: 1.556750 eta: 3 days, 7:29:56 batch_cost: 2.5035 data_cost: 0.0015 ips: 31.9548 images/s [10/13 15:54:41] ppdet.engine INFO: Epoch: [19] [ 0/366] learning_rate: 0.396054 loss_vfl: 0.978612 loss_bbox: 0.372347 loss_dfl: 0.211351 loss: 1.558858 eta: 3 days, 7:33:30 batch_cost: 3.3118 data_cost: 0.2418 ips: 24.1564 images/s [10/13 15:55:38] ppdet.engine INFO: Epoch: [19] [ 20/366] learning_rate: 0.396032 loss_vfl: 0.994327 loss_bbox: 0.348316 loss_dfl: 0.208552 loss: 1.554943 eta: 3 days, 7:32:14 batch_cost: 2.7164 data_cost: 0.0017 ips: 29.4507 images/s [10/13 15:56:36] ppdet.engine INFO: Epoch: [19] [ 40/366] learning_rate: 0.396009 loss_vfl: 0.979843 loss_bbox: 0.353026 loss_dfl: 0.204772 loss: 1.540822 eta: 3 days, 7:31:04 batch_cost: 2.7386 data_cost: 0.0016 ips: 29.2124 images/s [10/13 15:57:35] ppdet.engine INFO: Epoch: [19] [ 60/366] learning_rate: 0.395986 loss_vfl: 0.973033 loss_bbox: 0.373282 loss_dfl: 0.217725 loss: 1.540503 eta: 3 days, 7:30:12 batch_cost: 2.7961 data_cost: 0.0016 ips: 28.6109 images/s [10/13 15:58:34] ppdet.engine INFO: Epoch: [19] [ 80/366] learning_rate: 0.395963 loss_vfl: 0.980216 loss_bbox: 0.361829 loss_dfl: 0.206999 loss: 1.558086 eta: 3 days, 7:29:24 batch_cost: 2.8114 data_cost: 0.0016 ips: 28.4557 images/s [10/13 15:59:33] ppdet.engine INFO: Epoch: [19] [100/366] learning_rate: 0.395940 loss_vfl: 0.983808 loss_bbox: 0.362796 loss_dfl: 0.211029 loss: 1.549482 eta: 3 days, 7:28:33 batch_cost: 2.8005 data_cost: 0.0016 ips: 28.5662 images/s [10/13 16:00:32] ppdet.engine INFO: Epoch: [19] [120/366] learning_rate: 0.395917 loss_vfl: 0.975007 loss_bbox: 0.364538 loss_dfl: 0.216477 loss: 1.570447 eta: 3 days, 7:27:49 batch_cost: 2.8252 data_cost: 0.0016 ips: 28.3170 images/s [10/13 16:01:30] ppdet.engine INFO: Epoch: [19] [140/366] learning_rate: 0.395894 loss_vfl: 0.980430 loss_bbox: 0.362230 loss_dfl: 0.211493 loss: 1.552615 eta: 3 days, 7:26:40 batch_cost: 2.7380 data_cost: 0.0016 ips: 29.2187 images/s [10/13 16:02:27] ppdet.engine INFO: Epoch: [19] [160/366] learning_rate: 0.395871 loss_vfl: 0.967515 loss_bbox: 0.384972 loss_dfl: 0.214740 loss: 1.577563 eta: 3 days, 7:25:14 batch_cost: 2.6791 data_cost: 0.0016 ips: 29.8610 images/s [10/13 16:03:24] ppdet.engine INFO: Epoch: [19] [180/366] learning_rate: 0.395848 loss_vfl: 0.983543 loss_bbox: 0.351748 loss_dfl: 0.213763 loss: 1.557897 eta: 3 days, 7:23:59 batch_cost: 2.7183 data_cost: 0.0022 ips: 29.4300 images/s [10/13 16:04:21] ppdet.engine INFO: Epoch: [19] [200/366] learning_rate: 0.395825 loss_vfl: 0.978607 loss_bbox: 0.352373 loss_dfl: 0.207451 loss: 1.536357 eta: 3 days, 7:22:32 batch_cost: 2.6754 data_cost: 0.0017 ips: 29.9016 images/s [10/13 16:05:17] ppdet.engine INFO: Epoch: [19] [220/366] learning_rate: 0.395802 loss_vfl: 0.969295 loss_bbox: 0.360409 loss_dfl: 0.213537 loss: 1.554505 eta: 3 days, 7:20:58 batch_cost: 2.6485 data_cost: 0.0016 ips: 30.2056 images/s [10/13 16:06:13] ppdet.engine INFO: Epoch: [19] [240/366] learning_rate: 0.395778 loss_vfl: 0.986618 loss_bbox: 0.356043 loss_dfl: 0.209232 loss: 1.575395 eta: 3 days, 7:19:30 batch_cost: 2.6709 data_cost: 0.0016 ips: 29.9529 images/s [10/13 16:07:09] ppdet.engine INFO: Epoch: [19] [260/366] learning_rate: 0.395755 loss_vfl: 0.984589 loss_bbox: 0.363946 loss_dfl: 0.213863 loss: 1.555465 eta: 3 days, 7:18:04 batch_cost: 2.6742 data_cost: 0.0016 ips: 29.9151 images/s [10/13 16:08:05] ppdet.engine INFO: Epoch: [19] [280/366] learning_rate: 0.395731 loss_vfl: 0.968879 loss_bbox: 0.355279 loss_dfl: 0.212731 loss: 1.552669 eta: 3 days, 7:16:32 batch_cost: 2.6573 data_cost: 0.0016 ips: 30.1059 images/s [10/13 16:09:02] ppdet.engine INFO: Epoch: [19] [300/366] learning_rate: 0.395708 loss_vfl: 0.992201 loss_bbox: 0.339825 loss_dfl: 0.205602 loss: 1.553509 eta: 3 days, 7:15:13 batch_cost: 2.6999 data_cost: 0.0015 ips: 29.6311 images/s [10/13 16:09:58] ppdet.engine INFO: Epoch: [19] [320/366] learning_rate: 0.395684 loss_vfl: 0.979540 loss_bbox: 0.334580 loss_dfl: 0.202449 loss: 1.531956 eta: 3 days, 7:13:39 batch_cost: 2.6451 data_cost: 0.0016 ips: 30.2451 images/s [10/13 16:10:56] ppdet.engine INFO: Epoch: [19] [340/366] learning_rate: 0.395660 loss_vfl: 0.982940 loss_bbox: 0.359147 loss_dfl: 0.210663 loss: 1.555275 eta: 3 days, 7:12:29 batch_cost: 2.7317 data_cost: 0.0016 ips: 29.2861 images/s [10/13 16:11:48] ppdet.engine INFO: Epoch: [19] [360/366] learning_rate: 0.395637 loss_vfl: 0.991017 loss_bbox: 0.367841 loss_dfl: 0.211666 loss: 1.578640 eta: 3 days, 7:10:04 batch_cost: 2.4631 data_cost: 0.0015 ips: 32.4789 images/s [10/13 16:12:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 16:12:05] ppdet.engine INFO: Eval iter: 0 [10/13 16:12:43] ppdet.engine INFO: Eval iter: 100 [10/13 16:13:07] ppdet.engine INFO: Eval iter: 200 [10/13 16:13:30] ppdet.engine INFO: Eval iter: 300 [10/13 16:13:53] ppdet.engine INFO: Eval iter: 400 [10/13 16:14:18] ppdet.engine INFO: Eval iter: 500 [10/13 16:14:41] ppdet.engine INFO: Eval iter: 600 [10/13 16:15:03] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/13 16:15:04] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.80s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.63s). Accumulating evaluation results... DONE (t=17.58s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.235 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.367 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.245 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.077 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.235 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.391 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.238 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.376 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.402 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.141 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.431 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.645 [10/13 16:17:06] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.25660348244395 [10/13 16:17:06] ppdet.engine INFO: Best test bbox ap is 0.235. [10/13 16:17:06] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 16:17:09] ppdet.engine INFO: Epoch: [20] [ 0/366] learning_rate: 0.395630 loss_vfl: 0.989520 loss_bbox: 0.368662 loss_dfl: 0.212927 loss: 1.579073 eta: 3 days, 7:09:05 batch_cost: 2.2786 data_cost: 0.0016 ips: 35.1099 images/s [10/13 16:18:09] ppdet.engine INFO: Epoch: [20] [ 20/366] learning_rate: 0.395606 loss_vfl: 0.979156 loss_bbox: 0.362081 loss_dfl: 0.209357 loss: 1.549842 eta: 3 days, 7:08:34 batch_cost: 2.8691 data_cost: 0.0031 ips: 27.8833 images/s [10/13 16:19:07] ppdet.engine INFO: Epoch: [20] [ 40/366] learning_rate: 0.395582 loss_vfl: 0.970872 loss_bbox: 0.358875 loss_dfl: 0.211653 loss: 1.540100 eta: 3 days, 7:07:32 batch_cost: 2.7603 data_cost: 0.0016 ips: 28.9828 images/s [10/13 16:20:04] ppdet.engine INFO: Epoch: [20] [ 60/366] learning_rate: 0.395558 loss_vfl: 0.973939 loss_bbox: 0.362830 loss_dfl: 0.212112 loss: 1.553581 eta: 3 days, 7:06:18 batch_cost: 2.7149 data_cost: 0.0015 ips: 29.4670 images/s [10/13 16:21:03] ppdet.engine INFO: Epoch: [20] [ 80/366] learning_rate: 0.395534 loss_vfl: 0.993824 loss_bbox: 0.352935 loss_dfl: 0.214959 loss: 1.562180 eta: 3 days, 7:05:18 batch_cost: 2.7639 data_cost: 0.0016 ips: 28.9441 images/s [10/13 16:22:00] ppdet.engine INFO: Epoch: [20] [100/366] learning_rate: 0.395510 loss_vfl: 0.980102 loss_bbox: 0.360676 loss_dfl: 0.206419 loss: 1.546791 eta: 3 days, 7:04:07 batch_cost: 2.7244 data_cost: 0.0016 ips: 29.3644 images/s [10/13 16:22:58] ppdet.engine INFO: Epoch: [20] [120/366] learning_rate: 0.395486 loss_vfl: 0.987837 loss_bbox: 0.369777 loss_dfl: 0.213071 loss: 1.566435 eta: 3 days, 7:02:57 batch_cost: 2.7263 data_cost: 0.0016 ips: 29.3443 images/s [10/13 16:23:54] ppdet.engine INFO: Epoch: [20] [140/366] learning_rate: 0.395461 loss_vfl: 0.963368 loss_bbox: 0.355943 loss_dfl: 0.206461 loss: 1.523861 eta: 3 days, 7:01:41 batch_cost: 2.7054 data_cost: 0.0016 ips: 29.5701 images/s [10/13 16:24:52] ppdet.engine INFO: Epoch: [20] [160/366] learning_rate: 0.395437 loss_vfl: 0.950608 loss_bbox: 0.356780 loss_dfl: 0.210935 loss: 1.532776 eta: 3 days, 7:00:38 batch_cost: 2.7550 data_cost: 0.0016 ips: 29.0383 images/s [10/13 16:25:51] ppdet.engine INFO: Epoch: [20] [180/366] learning_rate: 0.395413 loss_vfl: 0.970757 loss_bbox: 0.353002 loss_dfl: 0.204783 loss: 1.526055 eta: 3 days, 6:59:36 batch_cost: 2.7559 data_cost: 0.0016 ips: 29.0283 images/s [10/13 16:26:48] ppdet.engine INFO: Epoch: [20] [200/366] learning_rate: 0.395388 loss_vfl: 0.986184 loss_bbox: 0.338509 loss_dfl: 0.200495 loss: 1.528925 eta: 3 days, 6:58:21 batch_cost: 2.7091 data_cost: 0.0015 ips: 29.5297 images/s [10/13 16:27:47] ppdet.engine INFO: Epoch: [20] [220/366] learning_rate: 0.395364 loss_vfl: 0.987156 loss_bbox: 0.344995 loss_dfl: 0.203467 loss: 1.535462 eta: 3 days, 6:57:39 batch_cost: 2.8276 data_cost: 0.0016 ips: 28.2926 images/s [10/13 16:28:46] ppdet.engine INFO: Epoch: [20] [240/366] learning_rate: 0.395339 loss_vfl: 0.980989 loss_bbox: 0.347834 loss_dfl: 0.206908 loss: 1.537504 eta: 3 days, 6:56:42 batch_cost: 2.7741 data_cost: 0.0016 ips: 28.8382 images/s [10/13 16:29:45] ppdet.engine INFO: Epoch: [20] [260/366] learning_rate: 0.395315 loss_vfl: 0.983447 loss_bbox: 0.352382 loss_dfl: 0.211169 loss: 1.541328 eta: 3 days, 6:55:49 batch_cost: 2.7905 data_cost: 0.0016 ips: 28.6685 images/s [10/13 16:30:44] ppdet.engine INFO: Epoch: [20] [280/366] learning_rate: 0.395290 loss_vfl: 0.982849 loss_bbox: 0.373423 loss_dfl: 0.215299 loss: 1.577689 eta: 3 days, 6:54:53 batch_cost: 2.7781 data_cost: 0.0017 ips: 28.7968 images/s [10/13 16:31:44] ppdet.engine INFO: Epoch: [20] [300/366] learning_rate: 0.395265 loss_vfl: 0.985664 loss_bbox: 0.347013 loss_dfl: 0.208087 loss: 1.554281 eta: 3 days, 6:54:20 batch_cost: 2.8651 data_cost: 0.0016 ips: 27.9220 images/s [10/13 16:32:42] ppdet.engine INFO: Epoch: [20] [320/366] learning_rate: 0.395241 loss_vfl: 0.971228 loss_bbox: 0.340659 loss_dfl: 0.206143 loss: 1.522492 eta: 3 days, 6:53:20 batch_cost: 2.7624 data_cost: 0.0015 ips: 28.9605 images/s [10/13 16:33:41] ppdet.engine INFO: Epoch: [20] [340/366] learning_rate: 0.395216 loss_vfl: 0.990927 loss_bbox: 0.369902 loss_dfl: 0.217120 loss: 1.582843 eta: 3 days, 6:52:29 batch_cost: 2.7989 data_cost: 0.0017 ips: 28.5825 images/s [10/13 16:34:35] ppdet.engine INFO: Epoch: [20] [360/366] learning_rate: 0.395191 loss_vfl: 0.979768 loss_bbox: 0.366531 loss_dfl: 0.212369 loss: 1.556215 eta: 3 days, 6:50:23 batch_cost: 2.5150 data_cost: 0.0015 ips: 31.8087 images/s [10/13 16:35:13] ppdet.engine INFO: Epoch: [21] [ 0/366] learning_rate: 0.395183 loss_vfl: 0.977022 loss_bbox: 0.361919 loss_dfl: 0.212369 loss: 1.556215 eta: 3 days, 6:53:58 batch_cost: 3.4130 data_cost: 0.6004 ips: 23.4398 images/s [10/13 16:36:11] ppdet.engine INFO: Epoch: [21] [ 20/366] learning_rate: 0.395158 loss_vfl: 0.974835 loss_bbox: 0.340740 loss_dfl: 0.206479 loss: 1.532998 eta: 3 days, 6:53:07 batch_cost: 2.7990 data_cost: 0.0018 ips: 28.5820 images/s [10/13 16:37:10] ppdet.engine INFO: Epoch: [21] [ 40/366] learning_rate: 0.395133 loss_vfl: 0.979347 loss_bbox: 0.355857 loss_dfl: 0.205512 loss: 1.542614 eta: 3 days, 6:52:09 batch_cost: 2.7747 data_cost: 0.0016 ips: 28.8318 images/s [10/13 16:38:08] ppdet.engine INFO: Epoch: [21] [ 60/366] learning_rate: 0.395108 loss_vfl: 0.973628 loss_bbox: 0.364344 loss_dfl: 0.216847 loss: 1.562012 eta: 3 days, 6:51:12 batch_cost: 2.7750 data_cost: 0.0016 ips: 28.8287 images/s [10/13 16:39:07] ppdet.engine INFO: Epoch: [21] [ 80/366] learning_rate: 0.395083 loss_vfl: 0.979796 loss_bbox: 0.365668 loss_dfl: 0.206760 loss: 1.545696 eta: 3 days, 6:50:11 batch_cost: 2.7611 data_cost: 0.0016 ips: 28.9744 images/s [10/13 16:40:05] ppdet.engine INFO: Epoch: [21] [100/366] learning_rate: 0.395058 loss_vfl: 0.973264 loss_bbox: 0.361456 loss_dfl: 0.209776 loss: 1.553109 eta: 3 days, 6:49:09 batch_cost: 2.7588 data_cost: 0.0016 ips: 28.9982 images/s [10/13 16:41:03] ppdet.engine INFO: Epoch: [21] [120/366] learning_rate: 0.395032 loss_vfl: 0.978052 loss_bbox: 0.342879 loss_dfl: 0.201687 loss: 1.528184 eta: 3 days, 6:48:00 batch_cost: 2.7301 data_cost: 0.0015 ips: 29.3033 images/s [10/13 16:42:01] ppdet.engine INFO: Epoch: [21] [140/366] learning_rate: 0.395007 loss_vfl: 0.984834 loss_bbox: 0.350556 loss_dfl: 0.203834 loss: 1.543395 eta: 3 days, 6:47:09 batch_cost: 2.7968 data_cost: 0.0016 ips: 28.6040 images/s [10/13 16:43:01] ppdet.engine INFO: Epoch: [21] [160/366] learning_rate: 0.394982 loss_vfl: 0.970373 loss_bbox: 0.352718 loss_dfl: 0.211862 loss: 1.561962 eta: 3 days, 6:46:18 batch_cost: 2.7985 data_cost: 0.0016 ips: 28.5870 images/s [10/13 16:44:00] ppdet.engine INFO: Epoch: [21] [180/366] learning_rate: 0.394956 loss_vfl: 0.988579 loss_bbox: 0.323706 loss_dfl: 0.201251 loss: 1.528735 eta: 3 days, 6:45:34 batch_cost: 2.8268 data_cost: 0.0016 ips: 28.3009 images/s [10/13 16:44:59] ppdet.engine INFO: Epoch: [21] [200/366] learning_rate: 0.394930 loss_vfl: 0.988397 loss_bbox: 0.352547 loss_dfl: 0.211026 loss: 1.559774 eta: 3 days, 6:44:37 batch_cost: 2.7773 data_cost: 0.0016 ips: 28.8049 images/s [10/13 16:45:56] ppdet.engine INFO: Epoch: [21] [220/366] learning_rate: 0.394905 loss_vfl: 0.978590 loss_bbox: 0.358844 loss_dfl: 0.216367 loss: 1.555048 eta: 3 days, 6:43:28 batch_cost: 2.7286 data_cost: 0.0015 ips: 29.3194 images/s [10/13 16:46:55] ppdet.engine INFO: Epoch: [21] [240/366] learning_rate: 0.394879 loss_vfl: 0.955293 loss_bbox: 0.369706 loss_dfl: 0.213069 loss: 1.558894 eta: 3 days, 6:42:37 batch_cost: 2.7989 data_cost: 0.0016 ips: 28.5831 images/s [10/13 16:47:54] ppdet.engine INFO: Epoch: [21] [260/366] learning_rate: 0.394853 loss_vfl: 1.003528 loss_bbox: 0.369760 loss_dfl: 0.218905 loss: 1.589716 eta: 3 days, 6:41:53 batch_cost: 2.8272 data_cost: 0.0017 ips: 28.2964 images/s [10/13 16:48:52] ppdet.engine INFO: Epoch: [21] [280/366] learning_rate: 0.394828 loss_vfl: 0.978154 loss_bbox: 0.370266 loss_dfl: 0.208606 loss: 1.541420 eta: 3 days, 6:40:47 batch_cost: 2.7430 data_cost: 0.0016 ips: 29.1646 images/s [10/13 16:49:50] ppdet.engine INFO: Epoch: [21] [300/366] learning_rate: 0.394802 loss_vfl: 0.970947 loss_bbox: 0.353052 loss_dfl: 0.212322 loss: 1.535230 eta: 3 days, 6:39:39 batch_cost: 2.7306 data_cost: 0.0016 ips: 29.2977 images/s [10/13 16:50:48] ppdet.engine INFO: Epoch: [21] [320/366] learning_rate: 0.394776 loss_vfl: 0.992488 loss_bbox: 0.333437 loss_dfl: 0.202555 loss: 1.525030 eta: 3 days, 6:38:45 batch_cost: 2.7888 data_cost: 0.0015 ips: 28.6859 images/s [10/13 16:51:46] ppdet.engine INFO: Epoch: [21] [340/366] learning_rate: 0.394750 loss_vfl: 0.974119 loss_bbox: 0.352214 loss_dfl: 0.203642 loss: 1.520503 eta: 3 days, 6:37:32 batch_cost: 2.7151 data_cost: 0.0016 ips: 29.4645 images/s [10/13 16:52:37] ppdet.engine INFO: Epoch: [21] [360/366] learning_rate: 0.394724 loss_vfl: 0.978325 loss_bbox: 0.372840 loss_dfl: 0.216601 loss: 1.560206 eta: 3 days, 6:35:10 batch_cost: 2.4367 data_cost: 0.0016 ips: 32.8317 images/s [10/13 16:53:13] ppdet.engine INFO: Epoch: [22] [ 0/366] learning_rate: 0.394716 loss_vfl: 0.960617 loss_bbox: 0.375685 loss_dfl: 0.213952 loss: 1.560206 eta: 3 days, 6:38:02 batch_cost: 3.1906 data_cost: 0.3453 ips: 25.0734 images/s [10/13 16:54:11] ppdet.engine INFO: Epoch: [22] [ 20/366] learning_rate: 0.394690 loss_vfl: 0.956432 loss_bbox: 0.362956 loss_dfl: 0.209916 loss: 1.536025 eta: 3 days, 6:36:55 batch_cost: 2.7384 data_cost: 0.0017 ips: 29.2145 images/s [10/13 16:55:09] ppdet.engine INFO: Epoch: [22] [ 40/366] learning_rate: 0.394663 loss_vfl: 0.971615 loss_bbox: 0.342090 loss_dfl: 0.202438 loss: 1.512617 eta: 3 days, 6:35:54 batch_cost: 2.7601 data_cost: 0.0017 ips: 28.9840 images/s [10/13 16:56:07] ppdet.engine INFO: Epoch: [22] [ 60/366] learning_rate: 0.394637 loss_vfl: 0.984490 loss_bbox: 0.348061 loss_dfl: 0.210240 loss: 1.538097 eta: 3 days, 6:34:49 batch_cost: 2.7430 data_cost: 0.0016 ips: 29.1651 images/s [10/13 16:57:06] ppdet.engine INFO: Epoch: [22] [ 80/366] learning_rate: 0.394611 loss_vfl: 0.976704 loss_bbox: 0.370078 loss_dfl: 0.214002 loss: 1.558733 eta: 3 days, 6:33:54 batch_cost: 2.7871 data_cost: 0.0016 ips: 28.7034 images/s [10/13 16:58:06] ppdet.engine INFO: Epoch: [22] [100/366] learning_rate: 0.394584 loss_vfl: 0.982471 loss_bbox: 0.348642 loss_dfl: 0.205792 loss: 1.552259 eta: 3 days, 6:33:17 batch_cost: 2.8554 data_cost: 0.0017 ips: 28.0171 images/s [10/13 16:59:05] ppdet.engine INFO: Epoch: [22] [120/366] learning_rate: 0.394558 loss_vfl: 0.974484 loss_bbox: 0.364485 loss_dfl: 0.207846 loss: 1.538279 eta: 3 days, 6:32:19 batch_cost: 2.7718 data_cost: 0.0063 ips: 28.8619 images/s [10/13 17:00:02] ppdet.engine INFO: Epoch: [22] [140/366] learning_rate: 0.394531 loss_vfl: 0.971466 loss_bbox: 0.354290 loss_dfl: 0.206576 loss: 1.530975 eta: 3 days, 6:31:04 batch_cost: 2.7046 data_cost: 0.0016 ips: 29.5788 images/s [10/13 17:00:59] ppdet.engine INFO: Epoch: [22] [160/366] learning_rate: 0.394505 loss_vfl: 0.973937 loss_bbox: 0.355597 loss_dfl: 0.213567 loss: 1.540944 eta: 3 days, 6:29:50 batch_cost: 2.7100 data_cost: 0.0016 ips: 29.5202 images/s [10/13 17:01:57] ppdet.engine INFO: Epoch: [22] [180/366] learning_rate: 0.394478 loss_vfl: 0.977943 loss_bbox: 0.346522 loss_dfl: 0.208860 loss: 1.522148 eta: 3 days, 6:28:43 batch_cost: 2.7335 data_cost: 0.0016 ips: 29.2660 images/s [10/13 17:02:55] ppdet.engine INFO: Epoch: [22] [200/366] learning_rate: 0.394451 loss_vfl: 0.971515 loss_bbox: 0.355293 loss_dfl: 0.207419 loss: 1.543826 eta: 3 days, 6:27:40 batch_cost: 2.7527 data_cost: 0.0018 ips: 29.0627 images/s [10/13 17:03:54] ppdet.engine INFO: Epoch: [22] [220/366] learning_rate: 0.394424 loss_vfl: 0.983455 loss_bbox: 0.359942 loss_dfl: 0.211613 loss: 1.557000 eta: 3 days, 6:26:49 batch_cost: 2.8002 data_cost: 0.0016 ips: 28.5690 images/s [10/13 17:04:52] ppdet.engine INFO: Epoch: [22] [240/366] learning_rate: 0.394398 loss_vfl: 0.988525 loss_bbox: 0.353314 loss_dfl: 0.206165 loss: 1.555811 eta: 3 days, 6:25:43 batch_cost: 2.7375 data_cost: 0.0016 ips: 29.2233 images/s [10/13 17:05:49] ppdet.engine INFO: Epoch: [22] [260/366] learning_rate: 0.394371 loss_vfl: 0.971891 loss_bbox: 0.352939 loss_dfl: 0.211946 loss: 1.536752 eta: 3 days, 6:24:39 batch_cost: 2.7469 data_cost: 0.0016 ips: 29.1239 images/s [10/13 17:06:47] ppdet.engine INFO: Epoch: [22] [280/366] learning_rate: 0.394344 loss_vfl: 0.981898 loss_bbox: 0.345662 loss_dfl: 0.206613 loss: 1.542636 eta: 3 days, 6:23:31 batch_cost: 2.7339 data_cost: 0.0016 ips: 29.2625 images/s [10/13 17:07:46] ppdet.engine INFO: Epoch: [22] [300/366] learning_rate: 0.394317 loss_vfl: 0.983275 loss_bbox: 0.341137 loss_dfl: 0.203167 loss: 1.505754 eta: 3 days, 6:22:45 batch_cost: 2.8180 data_cost: 0.0017 ips: 28.3891 images/s [10/13 17:08:44] ppdet.engine INFO: Epoch: [22] [320/366] learning_rate: 0.394289 loss_vfl: 0.971666 loss_bbox: 0.362852 loss_dfl: 0.210653 loss: 1.551515 eta: 3 days, 6:21:32 batch_cost: 2.7095 data_cost: 0.0017 ips: 29.5258 images/s [10/13 17:09:41] ppdet.engine INFO: Epoch: [22] [340/366] learning_rate: 0.394262 loss_vfl: 0.960124 loss_bbox: 0.361136 loss_dfl: 0.213247 loss: 1.553746 eta: 3 days, 6:20:25 batch_cost: 2.7370 data_cost: 0.0015 ips: 29.2295 images/s [10/13 17:10:34] ppdet.engine INFO: Epoch: [22] [360/366] learning_rate: 0.394235 loss_vfl: 0.985923 loss_bbox: 0.330880 loss_dfl: 0.200022 loss: 1.531142 eta: 3 days, 6:18:19 batch_cost: 2.4891 data_cost: 0.0015 ips: 32.1407 images/s [10/13 17:11:11] ppdet.engine INFO: Epoch: [23] [ 0/366] learning_rate: 0.394227 loss_vfl: 0.995448 loss_bbox: 0.352236 loss_dfl: 0.206409 loss: 1.542616 eta: 3 days, 6:21:19 batch_cost: 3.2934 data_cost: 0.4537 ips: 24.2911 images/s [10/13 17:12:12] ppdet.engine INFO: Epoch: [23] [ 20/366] learning_rate: 0.394200 loss_vfl: 0.964127 loss_bbox: 0.349414 loss_dfl: 0.213214 loss: 1.533847 eta: 3 days, 6:20:46 batch_cost: 2.8772 data_cost: 0.0019 ips: 27.8045 images/s [10/13 17:13:11] ppdet.engine INFO: Epoch: [23] [ 40/366] learning_rate: 0.394172 loss_vfl: 0.967293 loss_bbox: 0.350340 loss_dfl: 0.204953 loss: 1.538247 eta: 3 days, 6:19:44 batch_cost: 2.7546 data_cost: 0.0017 ips: 29.0422 images/s [10/13 17:14:10] ppdet.engine INFO: Epoch: [23] [ 60/366] learning_rate: 0.394145 loss_vfl: 0.975964 loss_bbox: 0.341157 loss_dfl: 0.201866 loss: 1.520959 eta: 3 days, 6:18:42 batch_cost: 2.7563 data_cost: 0.0016 ips: 29.0244 images/s [10/13 17:15:09] ppdet.engine INFO: Epoch: [23] [ 80/366] learning_rate: 0.394117 loss_vfl: 0.985182 loss_bbox: 0.354032 loss_dfl: 0.209249 loss: 1.538161 eta: 3 days, 6:17:49 batch_cost: 2.7950 data_cost: 0.0016 ips: 28.6225 images/s [10/13 17:16:09] ppdet.engine INFO: Epoch: [23] [100/366] learning_rate: 0.394090 loss_vfl: 0.978696 loss_bbox: 0.344433 loss_dfl: 0.210130 loss: 1.525132 eta: 3 days, 6:17:07 batch_cost: 2.8378 data_cost: 0.0017 ips: 28.1907 images/s [10/13 17:17:08] ppdet.engine INFO: Epoch: [23] 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loss_bbox: 0.350182 loss_dfl: 0.208279 loss: 1.537432 eta: 3 days, 6:12:25 batch_cost: 2.7576 data_cost: 0.0016 ips: 29.0106 images/s [10/13 17:22:00] ppdet.engine INFO: Epoch: [23] [220/366] learning_rate: 0.393923 loss_vfl: 0.970284 loss_bbox: 0.352232 loss_dfl: 0.205385 loss: 1.548717 eta: 3 days, 6:11:26 batch_cost: 2.7711 data_cost: 0.0016 ips: 28.8689 images/s [10/13 17:22:59] ppdet.engine INFO: Epoch: [23] [240/366] learning_rate: 0.393895 loss_vfl: 0.983225 loss_bbox: 0.373425 loss_dfl: 0.218326 loss: 1.567681 eta: 3 days, 6:10:33 batch_cost: 2.7911 data_cost: 0.0017 ips: 28.6621 images/s [10/13 17:23:56] ppdet.engine INFO: Epoch: [23] [260/366] learning_rate: 0.393867 loss_vfl: 0.969854 loss_bbox: 0.350194 loss_dfl: 0.208152 loss: 1.541414 eta: 3 days, 6:09:19 batch_cost: 2.7034 data_cost: 0.0024 ips: 29.5924 images/s [10/13 17:24:54] ppdet.engine INFO: Epoch: [23] [280/366] learning_rate: 0.393838 loss_vfl: 0.962905 loss_bbox: 0.358638 loss_dfl: 0.210125 loss: 1.510013 eta: 3 days, 6:08:07 batch_cost: 2.7138 data_cost: 0.0016 ips: 29.4792 images/s [10/13 17:25:53] ppdet.engine INFO: Epoch: [23] [300/366] learning_rate: 0.393810 loss_vfl: 0.963601 loss_bbox: 0.352679 loss_dfl: 0.211378 loss: 1.536240 eta: 3 days, 6:07:25 batch_cost: 2.8388 data_cost: 0.0016 ips: 28.1813 images/s [10/13 17:26:51] ppdet.engine INFO: Epoch: [23] [320/366] learning_rate: 0.393782 loss_vfl: 0.987428 loss_bbox: 0.341077 loss_dfl: 0.210256 loss: 1.550539 eta: 3 days, 6:06:25 batch_cost: 2.7636 data_cost: 0.0018 ips: 28.9474 images/s [10/13 17:27:50] ppdet.engine INFO: Epoch: [23] [340/366] learning_rate: 0.393754 loss_vfl: 0.977098 loss_bbox: 0.354490 loss_dfl: 0.208864 loss: 1.539728 eta: 3 days, 6:05:28 batch_cost: 2.7761 data_cost: 0.0016 ips: 28.8178 images/s [10/13 17:28:43] ppdet.engine INFO: Epoch: [23] [360/366] learning_rate: 0.393725 loss_vfl: 0.981212 loss_bbox: 0.355371 loss_dfl: 0.209791 loss: 1.558588 eta: 3 days, 6:03:34 batch_cost: 2.5307 data_cost: 0.0016 ips: 31.6115 images/s [10/13 17:29:20] ppdet.engine INFO: Epoch: [24] [ 0/366] learning_rate: 0.393717 loss_vfl: 0.976019 loss_bbox: 0.355987 loss_dfl: 0.205774 loss: 1.550659 eta: 3 days, 6:06:20 batch_cost: 3.3005 data_cost: 0.5255 ips: 24.2384 images/s [10/13 17:30:22] ppdet.engine INFO: Epoch: [24] [ 20/366] learning_rate: 0.393688 loss_vfl: 0.976977 loss_bbox: 0.345204 loss_dfl: 0.205378 loss: 1.537857 eta: 3 days, 6:05:54 batch_cost: 2.9096 data_cost: 0.0025 ips: 27.4950 images/s [10/13 17:31:20] ppdet.engine INFO: Epoch: [24] [ 40/366] learning_rate: 0.393660 loss_vfl: 0.967091 loss_bbox: 0.338677 loss_dfl: 0.200208 loss: 1.511448 eta: 3 days, 6:04:59 batch_cost: 2.7898 data_cost: 0.0017 ips: 28.6758 images/s [10/13 17:32:18] ppdet.engine INFO: Epoch: [24] [ 60/366] learning_rate: 0.393631 loss_vfl: 0.961666 loss_bbox: 0.344894 loss_dfl: 0.211874 loss: 1.519616 eta: 3 days, 6:03:54 batch_cost: 2.7404 data_cost: 0.0016 ips: 29.1924 images/s [10/13 17:33:18] ppdet.engine INFO: Epoch: [24] [ 80/366] learning_rate: 0.393602 loss_vfl: 0.965107 loss_bbox: 0.360136 loss_dfl: 0.212908 loss: 1.545622 eta: 3 days, 6:03:10 batch_cost: 2.8344 data_cost: 0.0016 ips: 28.2242 images/s [10/13 17:34:15] ppdet.engine INFO: Epoch: [24] [100/366] learning_rate: 0.393574 loss_vfl: 0.949303 loss_bbox: 0.346838 loss_dfl: 0.205619 loss: 1.509693 eta: 3 days, 6:02:04 batch_cost: 2.7388 data_cost: 0.0016 ips: 29.2099 images/s [10/13 17:35:14] ppdet.engine INFO: Epoch: [24] [120/366] learning_rate: 0.393545 loss_vfl: 0.974763 loss_bbox: 0.345779 loss_dfl: 0.204289 loss: 1.529510 eta: 3 days, 6:01:03 batch_cost: 2.7626 data_cost: 0.0017 ips: 28.9578 images/s [10/13 17:36:13] ppdet.engine INFO: Epoch: [24] [140/366] learning_rate: 0.393516 loss_vfl: 0.982440 loss_bbox: 0.341774 loss_dfl: 0.199999 loss: 1.541055 eta: 3 days, 6:00:20 batch_cost: 2.8390 data_cost: 0.0016 ips: 28.1791 images/s [10/13 17:37:12] ppdet.engine INFO: Epoch: [24] [160/366] learning_rate: 0.393487 loss_vfl: 0.971664 loss_bbox: 0.366797 loss_dfl: 0.217317 loss: 1.549316 eta: 3 days, 5:59:26 batch_cost: 2.7899 data_cost: 0.0016 ips: 28.6747 images/s [10/13 17:38:11] ppdet.engine INFO: Epoch: [24] [180/366] learning_rate: 0.393458 loss_vfl: 0.970972 loss_bbox: 0.329064 loss_dfl: 0.204613 loss: 1.529394 eta: 3 days, 5:58:36 batch_cost: 2.8111 data_cost: 0.0016 ips: 28.4590 images/s [10/13 17:39:10] ppdet.engine INFO: Epoch: [24] [200/366] learning_rate: 0.393429 loss_vfl: 0.997342 loss_bbox: 0.344798 loss_dfl: 0.204729 loss: 1.546660 eta: 3 days, 5:57:41 batch_cost: 2.7884 data_cost: 0.0016 ips: 28.6903 images/s [10/13 17:40:09] ppdet.engine INFO: Epoch: [24] [220/366] learning_rate: 0.393400 loss_vfl: 0.985826 loss_bbox: 0.365547 loss_dfl: 0.217491 loss: 1.558427 eta: 3 days, 5:56:48 batch_cost: 2.7930 data_cost: 0.0016 ips: 28.6432 images/s [10/13 17:41:06] ppdet.engine INFO: Epoch: [24] [240/366] learning_rate: 0.393371 loss_vfl: 0.981028 loss_bbox: 0.354536 loss_dfl: 0.213759 loss: 1.549660 eta: 3 days, 5:55:40 batch_cost: 2.7316 data_cost: 0.0016 ips: 29.2867 images/s [10/13 17:42:05] ppdet.engine INFO: Epoch: [24] [260/366] learning_rate: 0.393341 loss_vfl: 0.971980 loss_bbox: 0.354978 loss_dfl: 0.209339 loss: 1.521007 eta: 3 days, 5:54:44 batch_cost: 2.7814 data_cost: 0.0016 ips: 28.7626 images/s [10/13 17:43:02] ppdet.engine INFO: Epoch: [24] [280/366] learning_rate: 0.393312 loss_vfl: 0.973454 loss_bbox: 0.342036 loss_dfl: 0.207028 loss: 1.512459 eta: 3 days, 5:53:29 batch_cost: 2.6952 data_cost: 0.0015 ips: 29.6824 images/s [10/13 17:44:01] ppdet.engine INFO: Epoch: [24] [300/366] learning_rate: 0.393283 loss_vfl: 0.986114 loss_bbox: 0.371149 loss_dfl: 0.213248 loss: 1.570542 eta: 3 days, 5:52:33 batch_cost: 2.7822 data_cost: 0.0016 ips: 28.7539 images/s [10/13 17:45:00] ppdet.engine INFO: Epoch: [24] [320/366] learning_rate: 0.393253 loss_vfl: 0.973500 loss_bbox: 0.355553 loss_dfl: 0.215393 loss: 1.536832 eta: 3 days, 5:51:33 batch_cost: 2.7650 data_cost: 0.0016 ips: 28.9335 images/s [10/13 17:45:57] ppdet.engine INFO: Epoch: [24] [340/366] learning_rate: 0.393224 loss_vfl: 0.972206 loss_bbox: 0.349418 loss_dfl: 0.203046 loss: 1.521721 eta: 3 days, 5:50:30 batch_cost: 2.7497 data_cost: 0.0015 ips: 29.0943 images/s [10/13 17:46:53] ppdet.engine INFO: Epoch: [24] [360/366] learning_rate: 0.393194 loss_vfl: 0.991611 loss_bbox: 0.354401 loss_dfl: 0.205522 loss: 1.539357 eta: 3 days, 5:48:57 batch_cost: 2.6128 data_cost: 0.0016 ips: 30.6188 images/s [10/13 17:47:27] ppdet.engine INFO: Epoch: [25] [ 0/366] learning_rate: 0.393185 loss_vfl: 0.996277 loss_bbox: 0.345053 loss_dfl: 0.208084 loss: 1.541438 eta: 3 days, 5:51:15 batch_cost: 3.3308 data_cost: 0.3738 ips: 24.0182 images/s [10/13 17:48:31] ppdet.engine INFO: Epoch: [25] [ 20/366] learning_rate: 0.393156 loss_vfl: 0.965546 loss_bbox: 0.350811 loss_dfl: 0.200212 loss: 1.512354 eta: 3 days, 5:50:36 batch_cost: 2.8620 data_cost: 0.0017 ips: 27.9528 images/s [10/13 17:49:29] ppdet.engine INFO: Epoch: [25] [ 40/366] learning_rate: 0.393126 loss_vfl: 0.972470 loss_bbox: 0.359594 loss_dfl: 0.214085 loss: 1.524060 eta: 3 days, 5:49:36 batch_cost: 2.7669 data_cost: 0.0016 ips: 28.9133 images/s [10/13 17:50:27] ppdet.engine INFO: Epoch: [25] [ 60/366] learning_rate: 0.393096 loss_vfl: 0.981106 loss_bbox: 0.351914 loss_dfl: 0.213388 loss: 1.540402 eta: 3 days, 5:48:35 batch_cost: 2.7599 data_cost: 0.0016 ips: 28.9863 images/s [10/13 17:51:26] ppdet.engine INFO: Epoch: [25] [ 80/366] learning_rate: 0.393066 loss_vfl: 0.972732 loss_bbox: 0.347829 loss_dfl: 0.200377 loss: 1.512120 eta: 3 days, 5:47:42 batch_cost: 2.7960 data_cost: 0.0016 ips: 28.6122 images/s [10/13 17:52:23] ppdet.engine INFO: Epoch: [25] [100/366] learning_rate: 0.393036 loss_vfl: 0.970867 loss_bbox: 0.366333 loss_dfl: 0.217587 loss: 1.564644 eta: 3 days, 5:46:29 batch_cost: 2.7035 data_cost: 0.0016 ips: 29.5918 images/s [10/13 17:53:19] ppdet.engine INFO: Epoch: [25] [120/366] learning_rate: 0.393006 loss_vfl: 0.960395 loss_bbox: 0.349880 loss_dfl: 0.212224 loss: 1.525598 eta: 3 days, 5:45:09 batch_cost: 2.6741 data_cost: 0.0017 ips: 29.9167 images/s [10/13 17:54:18] ppdet.engine INFO: Epoch: [25] [140/366] learning_rate: 0.392976 loss_vfl: 0.980452 loss_bbox: 0.346768 loss_dfl: 0.209903 loss: 1.547098 eta: 3 days, 5:44:22 batch_cost: 2.8262 data_cost: 0.0016 ips: 28.3067 images/s [10/13 17:55:18] ppdet.engine INFO: Epoch: [25] [160/366] learning_rate: 0.392946 loss_vfl: 0.973063 loss_bbox: 0.331522 loss_dfl: 0.200965 loss: 1.518096 eta: 3 days, 5:43:32 batch_cost: 2.8095 data_cost: 0.0016 ips: 28.4745 images/s [10/13 17:56:15] ppdet.engine INFO: Epoch: [25] [180/366] learning_rate: 0.392916 loss_vfl: 0.972981 loss_bbox: 0.358033 loss_dfl: 0.212075 loss: 1.544394 eta: 3 days, 5:42:14 batch_cost: 2.6798 data_cost: 0.0017 ips: 29.8528 images/s [10/13 17:57:14] ppdet.engine INFO: Epoch: [25] [200/366] learning_rate: 0.392886 loss_vfl: 0.968674 loss_bbox: 0.346101 loss_dfl: 0.211116 loss: 1.517023 eta: 3 days, 5:41:23 batch_cost: 2.8052 data_cost: 0.0016 ips: 28.5185 images/s [10/13 17:58:12] ppdet.engine INFO: Epoch: [25] [220/366] learning_rate: 0.392856 loss_vfl: 0.965372 loss_bbox: 0.347794 loss_dfl: 0.205615 loss: 1.536581 eta: 3 days, 5:40:22 batch_cost: 2.7609 data_cost: 0.0016 ips: 28.9764 images/s [10/13 17:59:12] ppdet.engine INFO: Epoch: [25] [240/366] learning_rate: 0.392825 loss_vfl: 0.967818 loss_bbox: 0.339982 loss_dfl: 0.198845 loss: 1.516701 eta: 3 days, 5:39:37 batch_cost: 2.8333 data_cost: 0.0016 ips: 28.2361 images/s [10/13 18:00:10] ppdet.engine INFO: Epoch: [25] [260/366] learning_rate: 0.392795 loss_vfl: 0.978853 loss_bbox: 0.336485 loss_dfl: 0.209568 loss: 1.518802 eta: 3 days, 5:38:41 batch_cost: 2.7857 data_cost: 0.0016 ips: 28.7177 images/s [10/13 18:01:10] ppdet.engine INFO: Epoch: [25] [280/366] learning_rate: 0.392764 loss_vfl: 0.961408 loss_bbox: 0.357009 loss_dfl: 0.206843 loss: 1.531070 eta: 3 days, 5:37:50 batch_cost: 2.8031 data_cost: 0.0016 ips: 28.5395 images/s [10/13 18:02:09] ppdet.engine INFO: Epoch: [25] [300/366] learning_rate: 0.392734 loss_vfl: 0.992011 loss_bbox: 0.340073 loss_dfl: 0.203755 loss: 1.544569 eta: 3 days, 5:37:01 batch_cost: 2.8177 data_cost: 0.0016 ips: 28.3923 images/s [10/13 18:03:06] ppdet.engine INFO: Epoch: [25] [320/366] learning_rate: 0.392703 loss_vfl: 0.978329 loss_bbox: 0.350294 loss_dfl: 0.206186 loss: 1.531117 eta: 3 days, 5:35:49 batch_cost: 2.7079 data_cost: 0.0016 ips: 29.5428 images/s [10/13 18:04:04] ppdet.engine INFO: Epoch: [25] [340/366] learning_rate: 0.392672 loss_vfl: 0.979938 loss_bbox: 0.357273 loss_dfl: 0.213252 loss: 1.552532 eta: 3 days, 5:34:48 batch_cost: 2.7573 data_cost: 0.0017 ips: 29.0139 images/s [10/13 18:04:57] ppdet.engine INFO: Epoch: [25] [360/366] learning_rate: 0.392642 loss_vfl: 0.979225 loss_bbox: 0.352055 loss_dfl: 0.217014 loss: 1.555431 eta: 3 days, 5:32:48 batch_cost: 2.4799 data_cost: 0.0015 ips: 32.2596 images/s [10/13 18:05:34] ppdet.engine INFO: Epoch: [26] [ 0/366] learning_rate: 0.392633 loss_vfl: 0.985507 loss_bbox: 0.341810 loss_dfl: 0.201274 loss: 1.515836 eta: 3 days, 5:35:14 batch_cost: 3.2657 data_cost: 0.3530 ips: 24.4973 images/s [10/13 18:06:33] ppdet.engine INFO: Epoch: [26] [ 20/366] learning_rate: 0.392602 loss_vfl: 0.969254 loss_bbox: 0.345858 loss_dfl: 0.204191 loss: 1.531947 eta: 3 days, 5:34:27 batch_cost: 2.8246 data_cost: 0.0018 ips: 28.3229 images/s [10/13 18:07:30] ppdet.engine INFO: Epoch: [26] [ 40/366] learning_rate: 0.392571 loss_vfl: 0.976146 loss_bbox: 0.361295 loss_dfl: 0.214649 loss: 1.556347 eta: 3 days, 5:33:16 batch_cost: 2.7115 data_cost: 0.0016 ips: 29.5045 images/s [10/13 18:08:29] ppdet.engine INFO: Epoch: [26] [ 60/366] learning_rate: 0.392540 loss_vfl: 0.968372 loss_bbox: 0.357755 loss_dfl: 0.216347 loss: 1.525411 eta: 3 days, 5:32:23 batch_cost: 2.8002 data_cost: 0.0017 ips: 28.5694 images/s [10/13 18:09:27] ppdet.engine INFO: Epoch: [26] [ 80/366] learning_rate: 0.392509 loss_vfl: 0.983435 loss_bbox: 0.347597 loss_dfl: 0.206251 loss: 1.532946 eta: 3 days, 5:31:18 batch_cost: 2.7412 data_cost: 0.0016 ips: 29.1846 images/s [10/13 18:10:27] ppdet.engine INFO: Epoch: [26] [100/366] learning_rate: 0.392478 loss_vfl: 0.972643 loss_bbox: 0.371918 loss_dfl: 0.218151 loss: 1.571868 eta: 3 days, 5:30:40 batch_cost: 2.8679 data_cost: 0.0016 ips: 27.8954 images/s [10/13 18:11:24] ppdet.engine INFO: Epoch: [26] [120/366] learning_rate: 0.392447 loss_vfl: 0.996522 loss_bbox: 0.349577 loss_dfl: 0.209575 loss: 1.531621 eta: 3 days, 5:29:22 batch_cost: 2.6774 data_cost: 0.0018 ips: 29.8796 images/s [10/13 18:12:22] ppdet.engine INFO: Epoch: [26] [140/366] learning_rate: 0.392416 loss_vfl: 0.966600 loss_bbox: 0.350565 loss_dfl: 0.207186 loss: 1.530087 eta: 3 days, 5:28:23 batch_cost: 2.7713 data_cost: 0.0016 ips: 28.8678 images/s [10/13 18:13:21] ppdet.engine INFO: Epoch: [26] [160/366] learning_rate: 0.392384 loss_vfl: 0.984727 loss_bbox: 0.346552 loss_dfl: 0.203563 loss: 1.535621 eta: 3 days, 5:27:28 batch_cost: 2.7901 data_cost: 0.0021 ips: 28.6730 images/s [10/13 18:14:18] ppdet.engine INFO: Epoch: [26] [180/366] learning_rate: 0.392353 loss_vfl: 0.968848 loss_bbox: 0.357915 loss_dfl: 0.210487 loss: 1.557645 eta: 3 days, 5:26:20 batch_cost: 2.7244 data_cost: 0.0016 ips: 29.3640 images/s [10/13 18:15:16] ppdet.engine INFO: Epoch: [26] [200/366] learning_rate: 0.392322 loss_vfl: 0.981899 loss_bbox: 0.351207 loss_dfl: 0.207294 loss: 1.533634 eta: 3 days, 5:25:12 batch_cost: 2.7239 data_cost: 0.0016 ips: 29.3693 images/s [10/13 18:16:14] ppdet.engine INFO: Epoch: [26] [220/366] learning_rate: 0.392290 loss_vfl: 0.971185 loss_bbox: 0.368774 loss_dfl: 0.216876 loss: 1.534217 eta: 3 days, 5:24:10 batch_cost: 2.7548 data_cost: 0.0016 ips: 29.0400 images/s [10/13 18:17:11] ppdet.engine INFO: Epoch: [26] [240/366] learning_rate: 0.392259 loss_vfl: 0.963856 loss_bbox: 0.339681 loss_dfl: 0.201206 loss: 1.511213 eta: 3 days, 5:23:00 batch_cost: 2.7163 data_cost: 0.0016 ips: 29.4515 images/s [10/13 18:18:09] ppdet.engine INFO: Epoch: [26] [260/366] learning_rate: 0.392227 loss_vfl: 0.981313 loss_bbox: 0.340193 loss_dfl: 0.202587 loss: 1.526002 eta: 3 days, 5:21:49 batch_cost: 2.7083 data_cost: 0.0016 ips: 29.5389 images/s [10/13 18:19:08] ppdet.engine INFO: Epoch: [26] [280/366] learning_rate: 0.392195 loss_vfl: 0.950317 loss_bbox: 0.367384 loss_dfl: 0.210983 loss: 1.523190 eta: 3 days, 5:20:59 batch_cost: 2.8131 data_cost: 0.0017 ips: 28.4383 images/s [10/13 18:20:07] ppdet.engine INFO: Epoch: [26] [300/366] learning_rate: 0.392164 loss_vfl: 0.962933 loss_bbox: 0.360969 loss_dfl: 0.212107 loss: 1.545284 eta: 3 days, 5:20:07 batch_cost: 2.7992 data_cost: 0.0017 ips: 28.5800 images/s [10/13 18:21:05] ppdet.engine INFO: Epoch: [26] [320/366] learning_rate: 0.392132 loss_vfl: 0.971216 loss_bbox: 0.361325 loss_dfl: 0.212827 loss: 1.552093 eta: 3 days, 5:18:56 batch_cost: 2.7105 data_cost: 0.0016 ips: 29.5153 images/s [10/13 18:22:03] ppdet.engine INFO: Epoch: [26] [340/366] learning_rate: 0.392100 loss_vfl: 0.956101 loss_bbox: 0.355573 loss_dfl: 0.215341 loss: 1.515542 eta: 3 days, 5:17:53 batch_cost: 2.7468 data_cost: 0.0016 ips: 29.1244 images/s [10/13 18:22:55] ppdet.engine INFO: Epoch: [26] [360/366] learning_rate: 0.392068 loss_vfl: 0.977231 loss_bbox: 0.346344 loss_dfl: 0.206959 loss: 1.527905 eta: 3 days, 5:15:50 batch_cost: 2.4521 data_cost: 0.0015 ips: 32.6255 images/s [10/13 18:23:31] ppdet.engine INFO: Epoch: [27] [ 0/366] learning_rate: 0.392059 loss_vfl: 0.981110 loss_bbox: 0.354453 loss_dfl: 0.209239 loss: 1.540953 eta: 3 days, 5:18:11 batch_cost: 3.2442 data_cost: 0.5858 ips: 24.6591 images/s [10/13 18:24:32] ppdet.engine INFO: Epoch: [27] [ 20/366] learning_rate: 0.392027 loss_vfl: 0.970889 loss_bbox: 0.355600 loss_dfl: 0.214607 loss: 1.531556 eta: 3 days, 5:17:29 batch_cost: 2.8560 data_cost: 0.0017 ips: 28.0116 images/s [10/13 18:25:32] ppdet.engine INFO: Epoch: [27] [ 40/366] learning_rate: 0.391995 loss_vfl: 0.959305 loss_bbox: 0.344379 loss_dfl: 0.205628 loss: 1.517301 eta: 3 days, 5:16:44 batch_cost: 2.8343 data_cost: 0.0016 ips: 28.2255 images/s [10/13 18:26:30] ppdet.engine INFO: Epoch: [27] [ 60/366] learning_rate: 0.391963 loss_vfl: 0.979967 loss_bbox: 0.340814 loss_dfl: 0.201544 loss: 1.509847 eta: 3 days, 5:15:48 batch_cost: 2.7866 data_cost: 0.0016 ips: 28.7087 images/s [10/13 18:27:30] ppdet.engine INFO: Epoch: [27] [ 80/366] learning_rate: 0.391931 loss_vfl: 0.982169 loss_bbox: 0.345075 loss_dfl: 0.201177 loss: 1.548042 eta: 3 days, 5:15:08 batch_cost: 2.8628 data_cost: 0.0017 ips: 27.9444 images/s [10/13 18:28:30] ppdet.engine INFO: Epoch: [27] [100/366] learning_rate: 0.391898 loss_vfl: 0.976324 loss_bbox: 0.360346 loss_dfl: 0.214343 loss: 1.547511 eta: 3 days, 5:14:20 batch_cost: 2.8235 data_cost: 0.0016 ips: 28.3336 images/s [10/13 18:29:29] ppdet.engine INFO: Epoch: [27] [120/366] learning_rate: 0.391866 loss_vfl: 0.962082 loss_bbox: 0.346792 loss_dfl: 0.208578 loss: 1.542811 eta: 3 days, 5:13:27 batch_cost: 2.8028 data_cost: 0.0016 ips: 28.5427 images/s [10/13 18:30:28] ppdet.engine INFO: Epoch: [27] [140/366] learning_rate: 0.391834 loss_vfl: 0.961942 loss_bbox: 0.354095 loss_dfl: 0.208827 loss: 1.529628 eta: 3 days, 5:12:42 batch_cost: 2.8373 data_cost: 0.0016 ips: 28.1957 images/s [10/13 18:31:27] ppdet.engine INFO: Epoch: [27] [160/366] learning_rate: 0.391801 loss_vfl: 0.955491 loss_bbox: 0.355748 loss_dfl: 0.207103 loss: 1.516612 eta: 3 days, 5:11:46 batch_cost: 2.7846 data_cost: 0.0017 ips: 28.7293 images/s [10/13 18:32:24] ppdet.engine INFO: Epoch: [27] [180/366] learning_rate: 0.391769 loss_vfl: 0.973204 loss_bbox: 0.358292 loss_dfl: 0.213564 loss: 1.548692 eta: 3 days, 5:10:37 batch_cost: 2.7169 data_cost: 0.0016 ips: 29.4455 images/s [10/13 18:33:22] ppdet.engine INFO: Epoch: [27] [200/366] learning_rate: 0.391736 loss_vfl: 0.971547 loss_bbox: 0.335835 loss_dfl: 0.197703 loss: 1.524339 eta: 3 days, 5:09:28 batch_cost: 2.7217 data_cost: 0.0017 ips: 29.3932 images/s [10/13 18:34:21] ppdet.engine INFO: Epoch: [27] [220/366] learning_rate: 0.391704 loss_vfl: 0.963902 loss_bbox: 0.356006 loss_dfl: 0.208425 loss: 1.534440 eta: 3 days, 5:08:26 batch_cost: 2.7506 data_cost: 0.0016 ips: 29.0848 images/s [10/13 18:35:20] ppdet.engine INFO: Epoch: [27] [240/366] learning_rate: 0.391671 loss_vfl: 0.965794 loss_bbox: 0.357803 loss_dfl: 0.213787 loss: 1.542151 eta: 3 days, 5:07:36 batch_cost: 2.8135 data_cost: 0.0016 ips: 28.4339 images/s [10/13 18:36:19] ppdet.engine INFO: Epoch: [27] [260/366] learning_rate: 0.391638 loss_vfl: 0.970062 loss_bbox: 0.369590 loss_dfl: 0.208519 loss: 1.534624 eta: 3 days, 5:06:40 batch_cost: 2.7872 data_cost: 0.0016 ips: 28.7026 images/s [10/13 18:37:17] ppdet.engine INFO: Epoch: [27] [280/366] learning_rate: 0.391606 loss_vfl: 0.981761 loss_bbox: 0.349102 loss_dfl: 0.207357 loss: 1.540066 eta: 3 days, 5:05:40 batch_cost: 2.7633 data_cost: 0.0016 ips: 28.9507 images/s [10/13 18:38:15] ppdet.engine INFO: Epoch: [27] [300/366] learning_rate: 0.391573 loss_vfl: 0.974975 loss_bbox: 0.344810 loss_dfl: 0.206965 loss: 1.526170 eta: 3 days, 5:04:38 batch_cost: 2.7536 data_cost: 0.0015 ips: 29.0531 images/s [10/13 18:39:12] ppdet.engine INFO: Epoch: [27] [320/366] learning_rate: 0.391540 loss_vfl: 0.950216 loss_bbox: 0.357441 loss_dfl: 0.209362 loss: 1.522883 eta: 3 days, 5:03:26 batch_cost: 2.7019 data_cost: 0.0016 ips: 29.6089 images/s [10/13 18:40:10] ppdet.engine INFO: Epoch: [27] [340/366] learning_rate: 0.391507 loss_vfl: 0.981731 loss_bbox: 0.349071 loss_dfl: 0.200875 loss: 1.533733 eta: 3 days, 5:02:20 batch_cost: 2.7328 data_cost: 0.0015 ips: 29.2736 images/s [10/13 18:41:03] ppdet.engine INFO: Epoch: [27] [360/366] learning_rate: 0.391474 loss_vfl: 0.978367 loss_bbox: 0.358358 loss_dfl: 0.214543 loss: 1.536005 eta: 3 days, 5:00:29 batch_cost: 2.4989 data_cost: 0.0015 ips: 32.0134 images/s [10/13 18:41:40] ppdet.engine INFO: Epoch: [28] [ 0/366] learning_rate: 0.391464 loss_vfl: 0.989871 loss_bbox: 0.373220 loss_dfl: 0.220236 loss: 1.552340 eta: 3 days, 5:02:49 batch_cost: 3.3195 data_cost: 0.6363 ips: 24.1001 images/s [10/13 18:42:40] ppdet.engine INFO: Epoch: [28] [ 20/366] learning_rate: 0.391431 loss_vfl: 0.954339 loss_bbox: 0.370977 loss_dfl: 0.208908 loss: 1.533860 eta: 3 days, 5:02:11 batch_cost: 2.8790 data_cost: 0.0017 ips: 27.7874 images/s [10/13 18:43:38] ppdet.engine INFO: Epoch: [28] [ 40/366] learning_rate: 0.391398 loss_vfl: 0.971919 loss_bbox: 0.352965 loss_dfl: 0.210618 loss: 1.543648 eta: 3 days, 5:01:02 batch_cost: 2.7179 data_cost: 0.0016 ips: 29.4344 images/s [10/13 18:44:35] ppdet.engine INFO: Epoch: [28] [ 60/366] learning_rate: 0.391364 loss_vfl: 0.966178 loss_bbox: 0.344358 loss_dfl: 0.205716 loss: 1.525841 eta: 3 days, 4:59:56 batch_cost: 2.7334 data_cost: 0.0016 ips: 29.2679 images/s [10/13 18:45:33] ppdet.engine INFO: Epoch: [28] [ 80/366] learning_rate: 0.391331 loss_vfl: 0.966608 loss_bbox: 0.367634 loss_dfl: 0.210944 loss: 1.520307 eta: 3 days, 4:58:49 batch_cost: 2.7300 data_cost: 0.0016 ips: 29.3043 images/s [10/13 18:46:32] ppdet.engine INFO: Epoch: [28] [100/366] learning_rate: 0.391298 loss_vfl: 0.968720 loss_bbox: 0.320045 loss_dfl: 0.193503 loss: 1.508297 eta: 3 days, 4:57:54 batch_cost: 2.7864 data_cost: 0.0016 ips: 28.7110 images/s [10/13 18:47:30] ppdet.engine INFO: Epoch: [28] [120/366] learning_rate: 0.391264 loss_vfl: 0.968851 loss_bbox: 0.376562 loss_dfl: 0.214102 loss: 1.554288 eta: 3 days, 4:56:59 batch_cost: 2.7899 data_cost: 0.0017 ips: 28.6747 images/s [10/13 18:48:27] ppdet.engine INFO: Epoch: [28] [140/366] learning_rate: 0.391231 loss_vfl: 0.962725 loss_bbox: 0.345173 loss_dfl: 0.206633 loss: 1.507778 eta: 3 days, 4:55:47 batch_cost: 2.7043 data_cost: 0.0016 ips: 29.5826 images/s [10/13 18:49:27] ppdet.engine INFO: Epoch: [28] [160/366] learning_rate: 0.391197 loss_vfl: 0.979744 loss_bbox: 0.370212 loss_dfl: 0.218278 loss: 1.567567 eta: 3 days, 4:54:56 batch_cost: 2.8077 data_cost: 0.0017 ips: 28.4932 images/s [10/13 18:50:25] ppdet.engine INFO: Epoch: [28] [180/366] learning_rate: 0.391164 loss_vfl: 0.995825 loss_bbox: 0.339611 loss_dfl: 0.207153 loss: 1.525857 eta: 3 days, 4:54:01 batch_cost: 2.7893 data_cost: 0.0016 ips: 28.6812 images/s [10/13 18:51:24] ppdet.engine INFO: Epoch: [28] [200/366] learning_rate: 0.391130 loss_vfl: 0.964980 loss_bbox: 0.339855 loss_dfl: 0.204598 loss: 1.512396 eta: 3 days, 4:53:09 batch_cost: 2.8058 data_cost: 0.0017 ips: 28.5124 images/s [10/13 18:52:23] ppdet.engine INFO: Epoch: [28] [220/366] learning_rate: 0.391096 loss_vfl: 0.961886 loss_bbox: 0.357912 loss_dfl: 0.206651 loss: 1.532055 eta: 3 days, 4:52:14 batch_cost: 2.7932 data_cost: 0.0016 ips: 28.6414 images/s [10/13 18:53:20] ppdet.engine INFO: Epoch: [28] [240/366] learning_rate: 0.391062 loss_vfl: 0.966731 loss_bbox: 0.358866 loss_dfl: 0.219360 loss: 1.548494 eta: 3 days, 4:51:05 batch_cost: 2.7110 data_cost: 0.0015 ips: 29.5097 images/s [10/13 18:54:18] ppdet.engine INFO: Epoch: [28] [260/366] learning_rate: 0.391029 loss_vfl: 0.984671 loss_bbox: 0.335326 loss_dfl: 0.197144 loss: 1.495847 eta: 3 days, 4:49:56 batch_cost: 2.7171 data_cost: 0.0016 ips: 29.4432 images/s [10/13 18:55:18] ppdet.engine INFO: Epoch: [28] [280/366] learning_rate: 0.390995 loss_vfl: 0.967730 loss_bbox: 0.342508 loss_dfl: 0.212063 loss: 1.524630 eta: 3 days, 4:49:10 batch_cost: 2.8402 data_cost: 0.0017 ips: 28.1667 images/s [10/13 18:56:15] ppdet.engine INFO: Epoch: [28] [300/366] learning_rate: 0.390961 loss_vfl: 0.971249 loss_bbox: 0.343392 loss_dfl: 0.202311 loss: 1.515788 eta: 3 days, 4:48:01 batch_cost: 2.7103 data_cost: 0.0016 ips: 29.5173 images/s [10/13 18:57:14] ppdet.engine INFO: Epoch: [28] [320/366] learning_rate: 0.390927 loss_vfl: 0.990343 loss_bbox: 0.341227 loss_dfl: 0.204911 loss: 1.529979 eta: 3 days, 4:47:06 batch_cost: 2.7924 data_cost: 0.0016 ips: 28.6489 images/s [10/13 18:58:11] ppdet.engine INFO: Epoch: [28] [340/366] learning_rate: 0.390893 loss_vfl: 0.975479 loss_bbox: 0.358617 loss_dfl: 0.211767 loss: 1.562134 eta: 3 days, 4:45:58 batch_cost: 2.7215 data_cost: 0.0015 ips: 29.3951 images/s [10/13 18:59:04] ppdet.engine INFO: Epoch: [28] [360/366] learning_rate: 0.390858 loss_vfl: 0.968259 loss_bbox: 0.355173 loss_dfl: 0.210127 loss: 1.559524 eta: 3 days, 4:44:08 batch_cost: 2.4927 data_cost: 0.0016 ips: 32.0940 images/s [10/13 18:59:44] ppdet.engine INFO: Epoch: [29] [ 0/366] learning_rate: 0.390848 loss_vfl: 0.976710 loss_bbox: 0.351088 loss_dfl: 0.208577 loss: 1.559539 eta: 3 days, 4:46:49 batch_cost: 3.4420 data_cost: 0.4597 ips: 23.2425 images/s [10/13 19:00:43] ppdet.engine INFO: Epoch: [29] [ 20/366] learning_rate: 0.390814 loss_vfl: 0.959681 loss_bbox: 0.356292 loss_dfl: 0.201811 loss: 1.506237 eta: 3 days, 4:45:55 batch_cost: 2.7926 data_cost: 0.0017 ips: 28.6469 images/s [10/13 19:01:42] ppdet.engine INFO: Epoch: [29] [ 40/366] learning_rate: 0.390779 loss_vfl: 0.960550 loss_bbox: 0.349934 loss_dfl: 0.205124 loss: 1.527656 eta: 3 days, 4:45:03 batch_cost: 2.8083 data_cost: 0.0017 ips: 28.4867 images/s [10/13 19:02:39] ppdet.engine INFO: Epoch: [29] [ 60/366] learning_rate: 0.390745 loss_vfl: 0.961212 loss_bbox: 0.338921 loss_dfl: 0.201799 loss: 1.501159 eta: 3 days, 4:43:56 batch_cost: 2.7260 data_cost: 0.0016 ips: 29.3468 images/s [10/13 19:03:36] ppdet.engine INFO: Epoch: [29] [ 80/366] learning_rate: 0.390711 loss_vfl: 0.964343 loss_bbox: 0.358116 loss_dfl: 0.214482 loss: 1.545034 eta: 3 days, 4:42:44 batch_cost: 2.6997 data_cost: 0.0016 ips: 29.6324 images/s [10/13 19:04:34] ppdet.engine INFO: Epoch: [29] [100/366] learning_rate: 0.390676 loss_vfl: 0.950963 loss_bbox: 0.363560 loss_dfl: 0.211678 loss: 1.527014 eta: 3 days, 4:41:42 batch_cost: 2.7528 data_cost: 0.0016 ips: 29.0609 images/s [10/13 19:05:32] ppdet.engine INFO: Epoch: [29] [120/366] learning_rate: 0.390642 loss_vfl: 0.965156 loss_bbox: 0.351900 loss_dfl: 0.207581 loss: 1.526799 eta: 3 days, 4:40:42 batch_cost: 2.7623 data_cost: 0.0016 ips: 28.9615 images/s [10/13 19:06:32] ppdet.engine INFO: Epoch: [29] [140/366] learning_rate: 0.390607 loss_vfl: 0.965597 loss_bbox: 0.343288 loss_dfl: 0.208929 loss: 1.516564 eta: 3 days, 4:39:45 batch_cost: 2.7831 data_cost: 0.0016 ips: 28.7451 images/s [10/13 19:07:29] ppdet.engine INFO: Epoch: [29] [160/366] learning_rate: 0.390572 loss_vfl: 0.966293 loss_bbox: 0.341176 loss_dfl: 0.205648 loss: 1.508787 eta: 3 days, 4:38:43 batch_cost: 2.7494 data_cost: 0.0016 ips: 29.0973 images/s [10/13 19:08:28] ppdet.engine INFO: Epoch: [29] [180/366] learning_rate: 0.390538 loss_vfl: 0.957188 loss_bbox: 0.359517 loss_dfl: 0.208798 loss: 1.519135 eta: 3 days, 4:37:47 batch_cost: 2.7863 data_cost: 0.0016 ips: 28.7117 images/s [10/13 19:09:26] ppdet.engine INFO: Epoch: [29] [200/366] learning_rate: 0.390503 loss_vfl: 0.969566 loss_bbox: 0.337928 loss_dfl: 0.201625 loss: 1.511451 eta: 3 days, 4:36:47 batch_cost: 2.7637 data_cost: 0.0015 ips: 28.9462 images/s [10/13 19:10:23] ppdet.engine INFO: Epoch: [29] [220/366] learning_rate: 0.390468 loss_vfl: 0.971530 loss_bbox: 0.352631 loss_dfl: 0.209216 loss: 1.535176 eta: 3 days, 4:35:40 batch_cost: 2.7228 data_cost: 0.0016 ips: 29.3817 images/s [10/13 19:11:23] ppdet.engine INFO: Epoch: [29] [240/366] learning_rate: 0.390433 loss_vfl: 0.950109 loss_bbox: 0.372438 loss_dfl: 0.216840 loss: 1.538540 eta: 3 days, 4:34:49 batch_cost: 2.8148 data_cost: 0.0016 ips: 28.4212 images/s [10/13 19:12:22] ppdet.engine INFO: Epoch: [29] [260/366] learning_rate: 0.390398 loss_vfl: 0.960378 loss_bbox: 0.332692 loss_dfl: 0.207285 loss: 1.513918 eta: 3 days, 4:34:03 batch_cost: 2.8359 data_cost: 0.0017 ips: 28.2102 images/s [10/13 19:13:21] ppdet.engine INFO: Epoch: [29] [280/366] learning_rate: 0.390363 loss_vfl: 0.984120 loss_bbox: 0.330416 loss_dfl: 0.197296 loss: 1.499659 eta: 3 days, 4:33:08 batch_cost: 2.7896 data_cost: 0.0016 ips: 28.6781 images/s [10/13 19:14:19] ppdet.engine INFO: Epoch: [29] [300/366] learning_rate: 0.390328 loss_vfl: 0.972340 loss_bbox: 0.350893 loss_dfl: 0.206430 loss: 1.526241 eta: 3 days, 4:32:09 batch_cost: 2.7686 data_cost: 0.0016 ips: 28.8954 images/s [10/13 19:15:19] ppdet.engine INFO: Epoch: [29] [320/366] learning_rate: 0.390292 loss_vfl: 0.976676 loss_bbox: 0.321932 loss_dfl: 0.196485 loss: 1.493810 eta: 3 days, 4:31:18 batch_cost: 2.8139 data_cost: 0.0016 ips: 28.4299 images/s [10/13 19:16:17] ppdet.engine INFO: Epoch: [29] [340/366] learning_rate: 0.390257 loss_vfl: 0.962468 loss_bbox: 0.346001 loss_dfl: 0.208911 loss: 1.539223 eta: 3 days, 4:30:18 batch_cost: 2.7646 data_cost: 0.0016 ips: 28.9377 images/s [10/13 19:17:11] ppdet.engine INFO: Epoch: [29] [360/366] learning_rate: 0.390222 loss_vfl: 0.959300 loss_bbox: 0.344625 loss_dfl: 0.204368 loss: 1.528661 eta: 3 days, 4:28:44 batch_cost: 2.5740 data_cost: 0.0016 ips: 31.0804 images/s [10/13 19:17:28] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 19:17:29] ppdet.engine INFO: Eval iter: 0 [10/13 19:18:09] ppdet.engine INFO: Eval iter: 100 [10/13 19:18:32] ppdet.engine INFO: Eval iter: 200 [10/13 19:18:56] ppdet.engine INFO: Eval iter: 300 [10/13 19:19:20] ppdet.engine INFO: Eval iter: 400 [10/13 19:19:44] ppdet.engine INFO: Eval iter: 500 [10/13 19:20:08] ppdet.engine INFO: Eval iter: 600 [10/13 19:20:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/13 19:20:30] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.71s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.17s). Accumulating evaluation results... DONE (t=17.42s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.251 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.387 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.080 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.256 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.414 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.247 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.389 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.416 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.152 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.448 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.659 [10/13 19:22:33] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.845503191935915 [10/13 19:22:33] ppdet.engine INFO: Best test bbox ap is 0.251. [10/13 19:22:33] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 19:22:35] ppdet.engine INFO: Epoch: [30] [ 0/366] learning_rate: 0.390211 loss_vfl: 0.969748 loss_bbox: 0.344357 loss_dfl: 0.206877 loss: 1.524259 eta: 3 days, 4:28:03 batch_cost: 2.4230 data_cost: 0.0016 ips: 33.0174 images/s [10/13 19:23:35] ppdet.engine INFO: Epoch: [30] [ 20/366] learning_rate: 0.390176 loss_vfl: 0.968026 loss_bbox: 0.347183 loss_dfl: 0.205752 loss: 1.510044 eta: 3 days, 4:27:17 batch_cost: 2.8383 data_cost: 0.0017 ips: 28.1859 images/s [10/13 19:24:35] ppdet.engine INFO: Epoch: [30] [ 40/366] learning_rate: 0.390140 loss_vfl: 0.962026 loss_bbox: 0.355543 loss_dfl: 0.209039 loss: 1.541200 eta: 3 days, 4:26:28 batch_cost: 2.8200 data_cost: 0.0017 ips: 28.3688 images/s [10/13 19:25:33] ppdet.engine INFO: Epoch: [30] [ 60/366] learning_rate: 0.390105 loss_vfl: 0.977559 loss_bbox: 0.355977 loss_dfl: 0.209161 loss: 1.539369 eta: 3 days, 4:25:27 batch_cost: 2.7594 data_cost: 0.0016 ips: 28.9923 images/s [10/13 19:26:30] ppdet.engine INFO: Epoch: [30] [ 80/366] learning_rate: 0.390069 loss_vfl: 0.959311 loss_bbox: 0.352477 loss_dfl: 0.212032 loss: 1.516487 eta: 3 days, 4:24:16 batch_cost: 2.6977 data_cost: 0.0016 ips: 29.6547 images/s [10/13 19:27:28] ppdet.engine INFO: Epoch: [30] [100/366] learning_rate: 0.390034 loss_vfl: 0.976971 loss_bbox: 0.344236 loss_dfl: 0.211429 loss: 1.530002 eta: 3 days, 4:23:18 batch_cost: 2.7740 data_cost: 0.0016 ips: 28.8392 images/s [10/13 19:28:27] ppdet.engine INFO: Epoch: [30] [120/366] learning_rate: 0.389998 loss_vfl: 0.971990 loss_bbox: 0.339871 loss_dfl: 0.206034 loss: 1.526271 eta: 3 days, 4:22:28 batch_cost: 2.8186 data_cost: 0.0016 ips: 28.3828 images/s [10/13 19:29:26] ppdet.engine INFO: Epoch: [30] [140/366] learning_rate: 0.389962 loss_vfl: 0.957742 loss_bbox: 0.343985 loss_dfl: 0.205879 loss: 1.522119 eta: 3 days, 4:21:30 batch_cost: 2.7727 data_cost: 0.0016 ips: 28.8532 images/s [10/13 19:30:25] ppdet.engine INFO: Epoch: [30] [160/366] learning_rate: 0.389926 loss_vfl: 0.969396 loss_bbox: 0.345470 loss_dfl: 0.210960 loss: 1.526906 eta: 3 days, 4:20:43 batch_cost: 2.8345 data_cost: 0.0017 ips: 28.2236 images/s [10/13 19:31:24] ppdet.engine INFO: Epoch: [30] [180/366] learning_rate: 0.389890 loss_vfl: 0.965390 loss_bbox: 0.342232 loss_dfl: 0.209271 loss: 1.538875 eta: 3 days, 4:19:46 batch_cost: 2.7763 data_cost: 0.0017 ips: 28.8152 images/s [10/13 19:32:22] ppdet.engine INFO: Epoch: [30] [200/366] learning_rate: 0.389855 loss_vfl: 0.972179 loss_bbox: 0.343146 loss_dfl: 0.199933 loss: 1.523679 eta: 3 days, 4:18:44 batch_cost: 2.7526 data_cost: 0.0016 ips: 29.0638 images/s [10/13 19:33:19] ppdet.engine INFO: Epoch: [30] [220/366] learning_rate: 0.389819 loss_vfl: 0.963873 loss_bbox: 0.359851 loss_dfl: 0.214632 loss: 1.530509 eta: 3 days, 4:17:40 batch_cost: 2.7378 data_cost: 0.0016 ips: 29.2209 images/s [10/13 19:34:20] ppdet.engine INFO: Epoch: [30] [240/366] learning_rate: 0.389782 loss_vfl: 0.960843 loss_bbox: 0.354364 loss_dfl: 0.207684 loss: 1.519956 eta: 3 days, 4:17:02 batch_cost: 2.8865 data_cost: 0.0016 ips: 27.7152 images/s [10/13 19:35:20] ppdet.engine INFO: Epoch: [30] [260/366] learning_rate: 0.389746 loss_vfl: 0.959906 loss_bbox: 0.360253 loss_dfl: 0.212192 loss: 1.525862 eta: 3 days, 4:16:19 batch_cost: 2.8583 data_cost: 0.0016 ips: 27.9882 images/s [10/13 19:36:17] ppdet.engine INFO: Epoch: [30] [280/366] learning_rate: 0.389710 loss_vfl: 0.950697 loss_bbox: 0.353833 loss_dfl: 0.206295 loss: 1.522510 eta: 3 days, 4:15:06 batch_cost: 2.6892 data_cost: 0.0015 ips: 29.7488 images/s [10/13 19:37:14] ppdet.engine INFO: Epoch: [30] [300/366] learning_rate: 0.389674 loss_vfl: 0.954551 loss_bbox: 0.346312 loss_dfl: 0.206260 loss: 1.501893 eta: 3 days, 4:13:59 batch_cost: 2.7229 data_cost: 0.0016 ips: 29.3810 images/s [10/13 19:38:13] ppdet.engine INFO: Epoch: [30] [320/366] learning_rate: 0.389637 loss_vfl: 0.973609 loss_bbox: 0.344203 loss_dfl: 0.205021 loss: 1.514015 eta: 3 days, 4:13:05 batch_cost: 2.7932 data_cost: 0.0015 ips: 28.6405 images/s [10/13 19:39:12] ppdet.engine INFO: Epoch: [30] [340/366] learning_rate: 0.389601 loss_vfl: 0.981574 loss_bbox: 0.346360 loss_dfl: 0.206293 loss: 1.529390 eta: 3 days, 4:12:10 batch_cost: 2.7892 data_cost: 0.0016 ips: 28.6823 images/s [10/13 19:40:06] ppdet.engine INFO: Epoch: [30] [360/366] learning_rate: 0.389565 loss_vfl: 0.970556 loss_bbox: 0.347432 loss_dfl: 0.209059 loss: 1.548859 eta: 3 days, 4:10:36 batch_cost: 2.5680 data_cost: 0.0016 ips: 31.1527 images/s [10/13 19:40:43] ppdet.engine INFO: Epoch: [31] [ 0/366] learning_rate: 0.389554 loss_vfl: 0.967262 loss_bbox: 0.349202 loss_dfl: 0.206853 loss: 1.537027 eta: 3 days, 4:12:39 batch_cost: 3.3660 data_cost: 0.2850 ips: 23.7670 images/s [10/13 19:41:41] ppdet.engine INFO: Epoch: [31] [ 20/366] learning_rate: 0.389517 loss_vfl: 0.963769 loss_bbox: 0.344635 loss_dfl: 0.205034 loss: 1.495832 eta: 3 days, 4:11:40 batch_cost: 2.7636 data_cost: 0.0017 ips: 28.9481 images/s [10/13 19:42:38] ppdet.engine INFO: Epoch: [31] [ 40/366] learning_rate: 0.389481 loss_vfl: 0.976004 loss_bbox: 0.351206 loss_dfl: 0.211078 loss: 1.546368 eta: 3 days, 4:10:31 batch_cost: 2.7120 data_cost: 0.0017 ips: 29.4986 images/s [10/13 19:43:37] ppdet.engine INFO: Epoch: [31] [ 60/366] learning_rate: 0.389444 loss_vfl: 0.962457 loss_bbox: 0.354603 loss_dfl: 0.209267 loss: 1.527955 eta: 3 days, 4:09:35 batch_cost: 2.7820 data_cost: 0.0016 ips: 28.7558 images/s [10/13 19:44:35] ppdet.engine INFO: Epoch: [31] [ 80/366] learning_rate: 0.389407 loss_vfl: 0.961583 loss_bbox: 0.347182 loss_dfl: 0.204893 loss: 1.507946 eta: 3 days, 4:08:38 batch_cost: 2.7818 data_cost: 0.0016 ips: 28.7581 images/s [10/13 19:45:34] ppdet.engine INFO: Epoch: [31] [100/366] learning_rate: 0.389370 loss_vfl: 0.970200 loss_bbox: 0.355360 loss_dfl: 0.214448 loss: 1.547695 eta: 3 days, 4:07:40 batch_cost: 2.7711 data_cost: 0.0016 ips: 28.8697 images/s [10/13 19:46:32] ppdet.engine INFO: Epoch: [31] [120/366] learning_rate: 0.389334 loss_vfl: 0.956032 loss_bbox: 0.331221 loss_dfl: 0.204512 loss: 1.502517 eta: 3 days, 4:06:39 batch_cost: 2.7575 data_cost: 0.0016 ips: 29.0122 images/s [10/13 19:47:30] ppdet.engine INFO: Epoch: [31] [140/366] learning_rate: 0.389297 loss_vfl: 0.972073 loss_bbox: 0.347561 loss_dfl: 0.202873 loss: 1.517904 eta: 3 days, 4:05:39 batch_cost: 2.7604 data_cost: 0.0016 ips: 28.9811 images/s [10/13 19:48:29] ppdet.engine INFO: Epoch: [31] [160/366] learning_rate: 0.389260 loss_vfl: 0.968351 loss_bbox: 0.352635 loss_dfl: 0.205560 loss: 1.540180 eta: 3 days, 4:04:42 batch_cost: 2.7792 data_cost: 0.0016 ips: 28.7850 images/s [10/13 19:49:27] ppdet.engine INFO: Epoch: [31] [180/366] learning_rate: 0.389223 loss_vfl: 0.961277 loss_bbox: 0.344480 loss_dfl: 0.199566 loss: 1.511637 eta: 3 days, 4:03:40 batch_cost: 2.7522 data_cost: 0.0016 ips: 29.0678 images/s [10/13 19:50:26] ppdet.engine INFO: Epoch: [31] [200/366] learning_rate: 0.389186 loss_vfl: 0.960271 loss_bbox: 0.336109 loss_dfl: 0.201859 loss: 1.496199 eta: 3 days, 4:02:48 batch_cost: 2.8072 data_cost: 0.0016 ips: 28.4981 images/s [10/13 19:51:24] ppdet.engine INFO: Epoch: [31] [220/366] learning_rate: 0.389148 loss_vfl: 0.967000 loss_bbox: 0.339675 loss_dfl: 0.199661 loss: 1.518997 eta: 3 days, 4:01:49 batch_cost: 2.7678 data_cost: 0.0016 ips: 28.9040 images/s [10/13 19:52:23] ppdet.engine INFO: Epoch: [31] [240/366] learning_rate: 0.389111 loss_vfl: 0.962430 loss_bbox: 0.341407 loss_dfl: 0.200752 loss: 1.520112 eta: 3 days, 4:00:51 batch_cost: 2.7721 data_cost: 0.0016 ips: 28.8592 images/s [10/13 19:53:21] ppdet.engine INFO: Epoch: [31] [260/366] learning_rate: 0.389074 loss_vfl: 0.967503 loss_bbox: 0.354296 loss_dfl: 0.204881 loss: 1.521757 eta: 3 days, 3:59:54 batch_cost: 2.7784 data_cost: 0.0016 ips: 28.7933 images/s [10/13 19:54:19] ppdet.engine INFO: Epoch: [31] [280/366] learning_rate: 0.389037 loss_vfl: 0.964706 loss_bbox: 0.335395 loss_dfl: 0.206491 loss: 1.522573 eta: 3 days, 3:58:53 batch_cost: 2.7572 data_cost: 0.0016 ips: 29.0144 images/s [10/13 19:55:16] ppdet.engine INFO: Epoch: [31] [300/366] learning_rate: 0.388999 loss_vfl: 0.959624 loss_bbox: 0.354434 loss_dfl: 0.209439 loss: 1.518991 eta: 3 days, 3:57:46 batch_cost: 2.7176 data_cost: 0.0015 ips: 29.4382 images/s [10/13 19:56:13] ppdet.engine INFO: Epoch: [31] [320/366] learning_rate: 0.388962 loss_vfl: 0.968754 loss_bbox: 0.347049 loss_dfl: 0.208259 loss: 1.513712 eta: 3 days, 3:56:34 batch_cost: 2.6914 data_cost: 0.0016 ips: 29.7244 images/s [10/13 19:57:11] ppdet.engine INFO: Epoch: [31] [340/366] learning_rate: 0.388924 loss_vfl: 0.965078 loss_bbox: 0.343725 loss_dfl: 0.202288 loss: 1.508612 eta: 3 days, 3:55:30 batch_cost: 2.7321 data_cost: 0.0016 ips: 29.2817 images/s [10/13 19:58:05] ppdet.engine INFO: Epoch: [31] [360/366] learning_rate: 0.388887 loss_vfl: 0.980005 loss_bbox: 0.325818 loss_dfl: 0.202182 loss: 1.508331 eta: 3 days, 3:53:59 batch_cost: 2.5744 data_cost: 0.0016 ips: 31.0748 images/s [10/13 19:58:40] ppdet.engine INFO: Epoch: [32] [ 0/366] learning_rate: 0.388875 loss_vfl: 0.980434 loss_bbox: 0.329182 loss_dfl: 0.204777 loss: 1.504234 eta: 3 days, 3:55:36 batch_cost: 3.2575 data_cost: 0.3329 ips: 24.5590 images/s [10/13 19:59:43] ppdet.engine INFO: Epoch: [32] [ 20/366] learning_rate: 0.388838 loss_vfl: 0.950966 loss_bbox: 0.349642 loss_dfl: 0.205593 loss: 1.510863 eta: 3 days, 3:55:11 batch_cost: 2.9703 data_cost: 0.0017 ips: 26.9331 images/s [10/13 20:00:41] ppdet.engine INFO: Epoch: [32] [ 40/366] learning_rate: 0.388800 loss_vfl: 0.968160 loss_bbox: 0.339486 loss_dfl: 0.205690 loss: 1.528665 eta: 3 days, 3:54:12 batch_cost: 2.7673 data_cost: 0.0016 ips: 28.9087 images/s [10/13 20:01:40] ppdet.engine INFO: Epoch: [32] [ 60/366] learning_rate: 0.388762 loss_vfl: 0.971319 loss_bbox: 0.329757 loss_dfl: 0.202241 loss: 1.512767 eta: 3 days, 3:53:17 batch_cost: 2.7865 data_cost: 0.0016 ips: 28.7095 images/s [10/13 20:02:37] ppdet.engine INFO: Epoch: [32] [ 80/366] learning_rate: 0.388724 loss_vfl: 0.966213 loss_bbox: 0.347500 loss_dfl: 0.209769 loss: 1.515297 eta: 3 days, 3:52:13 batch_cost: 2.7396 data_cost: 0.0016 ips: 29.2013 images/s [10/13 20:03:35] ppdet.engine INFO: Epoch: [32] [100/366] learning_rate: 0.388686 loss_vfl: 0.960002 loss_bbox: 0.332674 loss_dfl: 0.204098 loss: 1.500490 eta: 3 days, 3:51:09 batch_cost: 2.7373 data_cost: 0.0016 ips: 29.2256 images/s [10/13 20:04:33] ppdet.engine INFO: Epoch: [32] [120/366] learning_rate: 0.388648 loss_vfl: 0.957402 loss_bbox: 0.340532 loss_dfl: 0.206008 loss: 1.508553 eta: 3 days, 3:50:10 batch_cost: 2.7636 data_cost: 0.0016 ips: 28.9474 images/s [10/13 20:05:32] ppdet.engine INFO: Epoch: [32] [140/366] learning_rate: 0.388610 loss_vfl: 0.962080 loss_bbox: 0.347500 loss_dfl: 0.201688 loss: 1.520971 eta: 3 days, 3:49:13 batch_cost: 2.7838 data_cost: 0.0016 ips: 28.7373 images/s [10/13 20:06:32] ppdet.engine INFO: Epoch: [32] [160/366] learning_rate: 0.388572 loss_vfl: 0.973701 loss_bbox: 0.344850 loss_dfl: 0.217343 loss: 1.547258 eta: 3 days, 3:48:27 batch_cost: 2.8443 data_cost: 0.0016 ips: 28.1268 images/s [10/13 20:07:31] ppdet.engine INFO: Epoch: [32] [180/366] learning_rate: 0.388534 loss_vfl: 0.954050 loss_bbox: 0.346637 loss_dfl: 0.204859 loss: 1.510401 eta: 3 days, 3:47:35 batch_cost: 2.8078 data_cost: 0.0016 ips: 28.4920 images/s [10/13 20:08:30] ppdet.engine INFO: Epoch: [32] [200/366] learning_rate: 0.388496 loss_vfl: 0.963185 loss_bbox: 0.363823 loss_dfl: 0.208459 loss: 1.539825 eta: 3 days, 3:46:40 batch_cost: 2.7903 data_cost: 0.0015 ips: 28.6704 images/s [10/13 20:09:27] ppdet.engine INFO: Epoch: [32] [220/366] learning_rate: 0.388458 loss_vfl: 0.995775 loss_bbox: 0.336930 loss_dfl: 0.202628 loss: 1.523707 eta: 3 days, 3:45:34 batch_cost: 2.7253 data_cost: 0.0015 ips: 29.3543 images/s [10/13 20:10:27] ppdet.engine INFO: Epoch: [32] [240/366] learning_rate: 0.388419 loss_vfl: 0.960593 loss_bbox: 0.336059 loss_dfl: 0.207456 loss: 1.522594 eta: 3 days, 3:44:48 batch_cost: 2.8462 data_cost: 0.0016 ips: 28.1079 images/s [10/13 20:11:26] ppdet.engine INFO: Epoch: [32] [260/366] learning_rate: 0.388381 loss_vfl: 0.965604 loss_bbox: 0.349435 loss_dfl: 0.207564 loss: 1.525911 eta: 3 days, 3:43:56 batch_cost: 2.8107 data_cost: 0.0016 ips: 28.4631 images/s [10/13 20:12:24] ppdet.engine INFO: Epoch: [32] [280/366] learning_rate: 0.388342 loss_vfl: 0.967922 loss_bbox: 0.349826 loss_dfl: 0.205565 loss: 1.527593 eta: 3 days, 3:42:52 batch_cost: 2.7394 data_cost: 0.0015 ips: 29.2031 images/s [10/13 20:13:22] ppdet.engine INFO: Epoch: [32] [300/366] learning_rate: 0.388304 loss_vfl: 0.961137 loss_bbox: 0.333783 loss_dfl: 0.199359 loss: 1.500193 eta: 3 days, 3:41:50 batch_cost: 2.7445 data_cost: 0.0016 ips: 29.1494 images/s [10/13 20:14:21] ppdet.engine INFO: Epoch: [32] [320/366] learning_rate: 0.388265 loss_vfl: 0.978434 loss_bbox: 0.341019 loss_dfl: 0.207918 loss: 1.514151 eta: 3 days, 3:40:56 batch_cost: 2.7972 data_cost: 0.0016 ips: 28.6004 images/s [10/13 20:15:20] ppdet.engine INFO: Epoch: [32] [340/366] learning_rate: 0.388226 loss_vfl: 0.959812 loss_bbox: 0.335910 loss_dfl: 0.207262 loss: 1.505728 eta: 3 days, 3:40:04 batch_cost: 2.8122 data_cost: 0.0016 ips: 28.4477 images/s [10/13 20:16:13] ppdet.engine INFO: Epoch: [32] [360/366] learning_rate: 0.388188 loss_vfl: 0.963947 loss_bbox: 0.341674 loss_dfl: 0.200465 loss: 1.508291 eta: 3 days, 3:38:24 batch_cost: 2.5096 data_cost: 0.0016 ips: 31.8778 images/s [10/13 20:16:50] ppdet.engine INFO: Epoch: [33] [ 0/366] learning_rate: 0.388176 loss_vfl: 0.984538 loss_bbox: 0.347945 loss_dfl: 0.204256 loss: 1.534057 eta: 3 days, 3:40:12 batch_cost: 3.2796 data_cost: 0.4367 ips: 24.3934 images/s [10/13 20:17:51] ppdet.engine INFO: Epoch: [33] [ 20/366] learning_rate: 0.388137 loss_vfl: 0.956156 loss_bbox: 0.326561 loss_dfl: 0.197279 loss: 1.497005 eta: 3 days, 3:39:30 batch_cost: 2.8720 data_cost: 0.0017 ips: 27.8548 images/s [10/13 20:18:50] ppdet.engine INFO: Epoch: [33] [ 40/366] learning_rate: 0.388098 loss_vfl: 0.958704 loss_bbox: 0.336618 loss_dfl: 0.202334 loss: 1.500279 eta: 3 days, 3:38:34 batch_cost: 2.7859 data_cost: 0.0017 ips: 28.7164 images/s [10/13 20:19:47] ppdet.engine INFO: Epoch: [33] [ 60/366] learning_rate: 0.388060 loss_vfl: 0.961995 loss_bbox: 0.340878 loss_dfl: 0.209003 loss: 1.522794 eta: 3 days, 3:37:31 batch_cost: 2.7428 data_cost: 0.0016 ips: 29.1674 images/s [10/13 20:20:46] ppdet.engine INFO: Epoch: [33] [ 80/366] learning_rate: 0.388021 loss_vfl: 0.965774 loss_bbox: 0.350732 loss_dfl: 0.207978 loss: 1.533309 eta: 3 days, 3:36:36 batch_cost: 2.7933 data_cost: 0.0016 ips: 28.6403 images/s [10/13 20:21:45] ppdet.engine INFO: Epoch: [33] [100/366] learning_rate: 0.387982 loss_vfl: 0.951434 loss_bbox: 0.357970 loss_dfl: 0.217921 loss: 1.545163 eta: 3 days, 3:35:41 batch_cost: 2.7917 data_cost: 0.0022 ips: 28.6564 images/s [10/13 20:22:44] ppdet.engine INFO: Epoch: [33] [120/366] learning_rate: 0.387942 loss_vfl: 0.959630 loss_bbox: 0.340497 loss_dfl: 0.201436 loss: 1.513231 eta: 3 days, 3:34:46 batch_cost: 2.7924 data_cost: 0.0016 ips: 28.6490 images/s [10/13 20:23:43] ppdet.engine INFO: Epoch: [33] [140/366] learning_rate: 0.387903 loss_vfl: 0.957347 loss_bbox: 0.346477 loss_dfl: 0.203521 loss: 1.506845 eta: 3 days, 3:33:49 batch_cost: 2.7828 data_cost: 0.0016 ips: 28.7481 images/s [10/13 20:24:41] ppdet.engine INFO: Epoch: [33] [160/366] learning_rate: 0.387864 loss_vfl: 0.956059 loss_bbox: 0.354081 loss_dfl: 0.208736 loss: 1.515579 eta: 3 days, 3:32:48 batch_cost: 2.7520 data_cost: 0.0015 ips: 29.0695 images/s [10/13 20:25:39] ppdet.engine INFO: Epoch: [33] [180/366] learning_rate: 0.387825 loss_vfl: 0.951712 loss_bbox: 0.356320 loss_dfl: 0.209494 loss: 1.510389 eta: 3 days, 3:31:53 batch_cost: 2.7936 data_cost: 0.0016 ips: 28.6365 images/s [10/13 20:26:38] ppdet.engine INFO: Epoch: [33] [200/366] learning_rate: 0.387785 loss_vfl: 0.978079 loss_bbox: 0.345213 loss_dfl: 0.199510 loss: 1.517598 eta: 3 days, 3:30:58 batch_cost: 2.7937 data_cost: 0.0016 ips: 28.6355 images/s [10/13 20:27:36] ppdet.engine INFO: Epoch: [33] [220/366] learning_rate: 0.387746 loss_vfl: 0.968911 loss_bbox: 0.353524 loss_dfl: 0.206757 loss: 1.516192 eta: 3 days, 3:29:59 batch_cost: 2.7633 data_cost: 0.0016 ips: 28.9513 images/s [10/13 20:28:34] ppdet.engine INFO: Epoch: [33] [240/366] learning_rate: 0.387707 loss_vfl: 0.966212 loss_bbox: 0.354692 loss_dfl: 0.212966 loss: 1.529037 eta: 3 days, 3:28:56 batch_cost: 2.7398 data_cost: 0.0016 ips: 29.1996 images/s [10/13 20:29:33] ppdet.engine INFO: Epoch: [33] [260/366] learning_rate: 0.387667 loss_vfl: 0.960373 loss_bbox: 0.343714 loss_dfl: 0.204353 loss: 1.504049 eta: 3 days, 3:27:59 batch_cost: 2.7857 data_cost: 0.0016 ips: 28.7177 images/s [10/13 20:30:33] ppdet.engine INFO: Epoch: [33] [280/366] learning_rate: 0.387627 loss_vfl: 0.965153 loss_bbox: 0.339101 loss_dfl: 0.204168 loss: 1.502272 eta: 3 days, 3:27:12 batch_cost: 2.8430 data_cost: 0.0017 ips: 28.1395 images/s [10/13 20:31:32] ppdet.engine INFO: Epoch: [33] [300/366] learning_rate: 0.387588 loss_vfl: 0.959966 loss_bbox: 0.352507 loss_dfl: 0.207824 loss: 1.515190 eta: 3 days, 3:26:21 batch_cost: 2.8120 data_cost: 0.0016 ips: 28.4498 images/s [10/13 20:32:32] ppdet.engine INFO: Epoch: [33] [320/366] learning_rate: 0.387548 loss_vfl: 0.955870 loss_bbox: 0.348298 loss_dfl: 0.204157 loss: 1.496134 eta: 3 days, 3:25:31 batch_cost: 2.8295 data_cost: 0.0016 ips: 28.2739 images/s [10/13 20:33:30] ppdet.engine INFO: Epoch: [33] [340/366] learning_rate: 0.387508 loss_vfl: 0.969561 loss_bbox: 0.346519 loss_dfl: 0.201803 loss: 1.509548 eta: 3 days, 3:24:32 batch_cost: 2.7673 data_cost: 0.0016 ips: 28.9092 images/s [10/13 20:34:26] ppdet.engine INFO: Epoch: [33] [360/366] learning_rate: 0.387468 loss_vfl: 0.964277 loss_bbox: 0.342361 loss_dfl: 0.205373 loss: 1.507780 eta: 3 days, 3:23:10 batch_cost: 2.6204 data_cost: 0.0016 ips: 30.5296 images/s [10/13 20:35:04] ppdet.engine INFO: Epoch: [34] [ 0/366] learning_rate: 0.387456 loss_vfl: 0.977101 loss_bbox: 0.335658 loss_dfl: 0.202788 loss: 1.507780 eta: 3 days, 3:25:09 batch_cost: 3.4530 data_cost: 0.5153 ips: 23.1684 images/s [10/13 20:36:03] ppdet.engine INFO: Epoch: [34] [ 20/366] learning_rate: 0.387416 loss_vfl: 0.970718 loss_bbox: 0.327324 loss_dfl: 0.196886 loss: 1.504467 eta: 3 days, 3:24:15 batch_cost: 2.7973 data_cost: 0.0018 ips: 28.5988 images/s [10/13 20:37:02] ppdet.engine INFO: Epoch: [34] [ 40/366] learning_rate: 0.387376 loss_vfl: 0.955972 loss_bbox: 0.346029 loss_dfl: 0.207500 loss: 1.508773 eta: 3 days, 3:23:18 batch_cost: 2.7835 data_cost: 0.0017 ips: 28.7408 images/s [10/13 20:38:01] ppdet.engine INFO: Epoch: [34] [ 60/366] learning_rate: 0.387336 loss_vfl: 0.968403 loss_bbox: 0.333005 loss_dfl: 0.202331 loss: 1.499849 eta: 3 days, 3:22:19 batch_cost: 2.7700 data_cost: 0.0016 ips: 28.8805 images/s [10/13 20:38:59] ppdet.engine INFO: Epoch: [34] [ 80/366] learning_rate: 0.387296 loss_vfl: 0.944320 loss_bbox: 0.341648 loss_dfl: 0.206074 loss: 1.500697 eta: 3 days, 3:21:24 batch_cost: 2.7941 data_cost: 0.0016 ips: 28.6318 images/s [10/13 20:40:00] ppdet.engine INFO: Epoch: [34] [100/366] learning_rate: 0.387256 loss_vfl: 0.952740 loss_bbox: 0.356506 loss_dfl: 0.210045 loss: 1.525044 eta: 3 days, 3:20:40 batch_cost: 2.8624 data_cost: 0.0017 ips: 27.9486 images/s [10/13 20:40:59] ppdet.engine INFO: Epoch: [34] [120/366] learning_rate: 0.387216 loss_vfl: 0.970019 loss_bbox: 0.340964 loss_dfl: 0.201833 loss: 1.513724 eta: 3 days, 3:19:48 batch_cost: 2.8121 data_cost: 0.0017 ips: 28.4486 images/s [10/13 20:41:58] ppdet.engine INFO: Epoch: [34] [140/366] learning_rate: 0.387176 loss_vfl: 0.954611 loss_bbox: 0.349190 loss_dfl: 0.205812 loss: 1.532768 eta: 3 days, 3:18:50 batch_cost: 2.7752 data_cost: 0.0016 ips: 28.8270 images/s [10/13 20:42:56] ppdet.engine INFO: Epoch: [34] [160/366] learning_rate: 0.387135 loss_vfl: 0.939473 loss_bbox: 0.361027 loss_dfl: 0.213649 loss: 1.526096 eta: 3 days, 3:17:50 batch_cost: 2.7633 data_cost: 0.0017 ips: 28.9506 images/s [10/13 20:43:54] ppdet.engine INFO: Epoch: [34] [180/366] learning_rate: 0.387095 loss_vfl: 0.964651 loss_bbox: 0.329943 loss_dfl: 0.199782 loss: 1.496070 eta: 3 days, 3:16:46 batch_cost: 2.7373 data_cost: 0.0016 ips: 29.2258 images/s [10/13 20:44:52] ppdet.engine INFO: Epoch: [34] [200/366] learning_rate: 0.387054 loss_vfl: 0.963379 loss_bbox: 0.336087 loss_dfl: 0.204009 loss: 1.500205 eta: 3 days, 3:15:44 batch_cost: 2.7456 data_cost: 0.0016 ips: 29.1376 images/s [10/13 20:45:51] ppdet.engine INFO: Epoch: [34] [220/366] learning_rate: 0.387014 loss_vfl: 0.969674 loss_bbox: 0.337083 loss_dfl: 0.199318 loss: 1.475340 eta: 3 days, 3:14:49 batch_cost: 2.7971 data_cost: 0.0016 ips: 28.6014 images/s [10/13 20:46:48] ppdet.engine INFO: Epoch: [34] [240/366] learning_rate: 0.386973 loss_vfl: 0.975182 loss_bbox: 0.335576 loss_dfl: 0.205827 loss: 1.521911 eta: 3 days, 3:13:45 batch_cost: 2.7322 data_cost: 0.0016 ips: 29.2800 images/s [10/13 20:47:47] ppdet.engine INFO: Epoch: [34] [260/366] learning_rate: 0.386933 loss_vfl: 0.954805 loss_bbox: 0.335489 loss_dfl: 0.202683 loss: 1.509528 eta: 3 days, 3:12:49 batch_cost: 2.7851 data_cost: 0.0016 ips: 28.7244 images/s [10/13 20:48:45] ppdet.engine INFO: Epoch: [34] [280/366] learning_rate: 0.386892 loss_vfl: 0.952788 loss_bbox: 0.345221 loss_dfl: 0.205929 loss: 1.514084 eta: 3 days, 3:11:46 batch_cost: 2.7411 data_cost: 0.0017 ips: 29.1854 images/s [10/13 20:49:41] ppdet.engine INFO: Epoch: [34] [300/366] learning_rate: 0.386851 loss_vfl: 0.978948 loss_bbox: 0.360574 loss_dfl: 0.209697 loss: 1.535855 eta: 3 days, 3:10:32 batch_cost: 2.6700 data_cost: 0.0016 ips: 29.9623 images/s [10/13 20:50:41] ppdet.engine INFO: Epoch: [34] [320/366] learning_rate: 0.386810 loss_vfl: 0.949823 loss_bbox: 0.336937 loss_dfl: 0.204416 loss: 1.499467 eta: 3 days, 3:09:42 batch_cost: 2.8251 data_cost: 0.0017 ips: 28.3174 images/s [10/13 20:51:40] ppdet.engine INFO: Epoch: [34] [340/366] learning_rate: 0.386769 loss_vfl: 0.950842 loss_bbox: 0.345860 loss_dfl: 0.204257 loss: 1.524144 eta: 3 days, 3:08:50 batch_cost: 2.8158 data_cost: 0.0016 ips: 28.4108 images/s [10/13 20:52:33] ppdet.engine INFO: Epoch: [34] [360/366] learning_rate: 0.386728 loss_vfl: 0.966667 loss_bbox: 0.361131 loss_dfl: 0.210375 loss: 1.534685 eta: 3 days, 3:07:15 batch_cost: 2.5268 data_cost: 0.0016 ips: 31.6603 images/s [10/13 20:53:11] ppdet.engine INFO: Epoch: [35] [ 0/366] learning_rate: 0.386716 loss_vfl: 0.952028 loss_bbox: 0.369139 loss_dfl: 0.210375 loss: 1.535082 eta: 3 days, 3:09:04 batch_cost: 3.3768 data_cost: 0.5771 ips: 23.6908 images/s [10/13 20:54:10] ppdet.engine INFO: Epoch: [35] [ 20/366] learning_rate: 0.386675 loss_vfl: 0.949419 loss_bbox: 0.342301 loss_dfl: 0.205047 loss: 1.520368 eta: 3 days, 3:08:15 batch_cost: 2.8349 data_cost: 0.0018 ips: 28.2193 images/s [10/13 20:55:10] ppdet.engine INFO: Epoch: [35] [ 40/366] learning_rate: 0.386634 loss_vfl: 0.951201 loss_bbox: 0.340845 loss_dfl: 0.204492 loss: 1.499448 eta: 3 days, 3:07:23 batch_cost: 2.8130 data_cost: 0.0017 ips: 28.4396 images/s [10/13 20:56:09] ppdet.engine INFO: Epoch: [35] [ 60/366] learning_rate: 0.386593 loss_vfl: 0.973519 loss_bbox: 0.370775 loss_dfl: 0.210410 loss: 1.531598 eta: 3 days, 3:06:32 batch_cost: 2.8247 data_cost: 0.0016 ips: 28.3219 images/s [10/13 20:57:06] ppdet.engine INFO: Epoch: [35] [ 80/366] learning_rate: 0.386552 loss_vfl: 0.967404 loss_bbox: 0.344901 loss_dfl: 0.209749 loss: 1.523781 eta: 3 days, 3:05:24 batch_cost: 2.7047 data_cost: 0.0016 ips: 29.5786 images/s [10/13 20:58:07] ppdet.engine INFO: Epoch: [35] [100/366] learning_rate: 0.386510 loss_vfl: 0.958004 loss_bbox: 0.341355 loss_dfl: 0.201177 loss: 1.493821 eta: 3 days, 3:04:41 batch_cost: 2.8724 data_cost: 0.0017 ips: 27.8508 images/s [10/13 20:59:05] ppdet.engine INFO: Epoch: [35] [120/366] learning_rate: 0.386469 loss_vfl: 0.967376 loss_bbox: 0.329167 loss_dfl: 0.196213 loss: 1.502430 eta: 3 days, 3:03:45 batch_cost: 2.7911 data_cost: 0.0016 ips: 28.6622 images/s [10/13 21:00:04] ppdet.engine INFO: Epoch: [35] [140/366] learning_rate: 0.386427 loss_vfl: 0.967296 loss_bbox: 0.344716 loss_dfl: 0.203323 loss: 1.513840 eta: 3 days, 3:02:48 batch_cost: 2.7827 data_cost: 0.0017 ips: 28.7490 images/s [10/13 21:01:02] ppdet.engine INFO: Epoch: [35] [160/366] learning_rate: 0.386386 loss_vfl: 0.948236 loss_bbox: 0.357650 loss_dfl: 0.211217 loss: 1.526316 eta: 3 days, 3:01:48 batch_cost: 2.7628 data_cost: 0.0017 ips: 28.9560 images/s [10/13 21:02:00] ppdet.engine INFO: Epoch: [35] [180/366] learning_rate: 0.386344 loss_vfl: 0.960669 loss_bbox: 0.345405 loss_dfl: 0.210250 loss: 1.521396 eta: 3 days, 3:00:50 batch_cost: 2.7749 data_cost: 0.0016 ips: 28.8297 images/s [10/13 21:03:00] ppdet.engine INFO: Epoch: [35] [200/366] learning_rate: 0.386303 loss_vfl: 0.955850 loss_bbox: 0.358215 loss_dfl: 0.213807 loss: 1.524506 eta: 3 days, 2:59:59 batch_cost: 2.8173 data_cost: 0.0016 ips: 28.3960 images/s [10/13 21:03:57] ppdet.engine INFO: Epoch: [35] [220/366] learning_rate: 0.386261 loss_vfl: 0.972955 loss_bbox: 0.341011 loss_dfl: 0.200376 loss: 1.511418 eta: 3 days, 2:58:55 batch_cost: 2.7369 data_cost: 0.0016 ips: 29.2302 images/s [10/13 21:04:54] ppdet.engine INFO: Epoch: [35] [240/366] learning_rate: 0.386220 loss_vfl: 0.973356 loss_bbox: 0.340709 loss_dfl: 0.201065 loss: 1.488024 eta: 3 days, 2:57:45 batch_cost: 2.6942 data_cost: 0.0016 ips: 29.6935 images/s [10/13 21:05:53] ppdet.engine INFO: Epoch: [35] [260/366] learning_rate: 0.386178 loss_vfl: 0.963462 loss_bbox: 0.345057 loss_dfl: 0.201355 loss: 1.524105 eta: 3 days, 2:56:50 batch_cost: 2.7923 data_cost: 0.0016 ips: 28.6499 images/s [10/13 21:06:51] ppdet.engine INFO: Epoch: [35] [280/366] learning_rate: 0.386136 loss_vfl: 0.951030 loss_bbox: 0.345755 loss_dfl: 0.203404 loss: 1.509447 eta: 3 days, 2:55:50 batch_cost: 2.7610 data_cost: 0.0017 ips: 28.9746 images/s [10/13 21:07:50] ppdet.engine INFO: Epoch: [35] [300/366] learning_rate: 0.386094 loss_vfl: 0.970715 loss_bbox: 0.355227 loss_dfl: 0.214166 loss: 1.533470 eta: 3 days, 2:54:51 batch_cost: 2.7671 data_cost: 0.0023 ips: 28.9109 images/s [10/13 21:08:47] ppdet.engine INFO: Epoch: [35] [320/366] learning_rate: 0.386052 loss_vfl: 0.960493 loss_bbox: 0.340748 loss_dfl: 0.203930 loss: 1.515005 eta: 3 days, 2:53:45 batch_cost: 2.7176 data_cost: 0.0016 ips: 29.4378 images/s [10/13 21:09:46] ppdet.engine INFO: Epoch: [35] [340/366] learning_rate: 0.386010 loss_vfl: 0.969914 loss_bbox: 0.347122 loss_dfl: 0.201512 loss: 1.528779 eta: 3 days, 2:52:54 batch_cost: 2.8268 data_cost: 0.0017 ips: 28.3005 images/s [10/13 21:10:41] ppdet.engine INFO: Epoch: [35] [360/366] learning_rate: 0.385968 loss_vfl: 0.963270 loss_bbox: 0.349295 loss_dfl: 0.209446 loss: 1.531871 eta: 3 days, 2:51:28 batch_cost: 2.5825 data_cost: 0.0016 ips: 30.9779 images/s [10/13 21:11:19] ppdet.engine INFO: Epoch: [36] [ 0/366] learning_rate: 0.385955 loss_vfl: 0.951661 loss_bbox: 0.353530 loss_dfl: 0.209532 loss: 1.523004 eta: 3 days, 2:53:13 batch_cost: 3.3721 data_cost: 0.3984 ips: 23.7241 images/s [10/13 21:12:20] ppdet.engine INFO: Epoch: [36] [ 20/366] learning_rate: 0.385913 loss_vfl: 0.929431 loss_bbox: 0.341756 loss_dfl: 0.205873 loss: 1.484952 eta: 3 days, 2:52:33 batch_cost: 2.8975 data_cost: 0.0017 ips: 27.6099 images/s [10/13 21:13:18] ppdet.engine INFO: Epoch: [36] [ 40/366] learning_rate: 0.385871 loss_vfl: 0.963617 loss_bbox: 0.344501 loss_dfl: 0.208236 loss: 1.503190 eta: 3 days, 2:51:35 batch_cost: 2.7775 data_cost: 0.0016 ips: 28.8026 images/s [10/13 21:14:17] ppdet.engine INFO: Epoch: [36] [ 60/366] learning_rate: 0.385829 loss_vfl: 0.956850 loss_bbox: 0.343134 loss_dfl: 0.205328 loss: 1.520961 eta: 3 days, 2:50:37 batch_cost: 2.7722 data_cost: 0.0018 ips: 28.8582 images/s [10/13 21:15:15] ppdet.engine INFO: Epoch: [36] [ 80/366] learning_rate: 0.385786 loss_vfl: 0.951657 loss_bbox: 0.340518 loss_dfl: 0.206709 loss: 1.507071 eta: 3 days, 2:49:37 batch_cost: 2.7605 data_cost: 0.0017 ips: 28.9802 images/s [10/13 21:16:14] ppdet.engine INFO: Epoch: [36] [100/366] learning_rate: 0.385744 loss_vfl: 0.961606 loss_bbox: 0.335352 loss_dfl: 0.199456 loss: 1.513631 eta: 3 days, 2:48:45 batch_cost: 2.8167 data_cost: 0.0016 ips: 28.4015 images/s [10/13 21:17:14] ppdet.engine INFO: Epoch: [36] [120/366] learning_rate: 0.385701 loss_vfl: 0.950945 loss_bbox: 0.349732 loss_dfl: 0.203814 loss: 1.497505 eta: 3 days, 2:47:56 batch_cost: 2.8368 data_cost: 0.0016 ips: 28.2010 images/s [10/13 21:18:13] ppdet.engine INFO: Epoch: [36] [140/366] learning_rate: 0.385659 loss_vfl: 0.955049 loss_bbox: 0.340091 loss_dfl: 0.201104 loss: 1.503414 eta: 3 days, 2:47:00 batch_cost: 2.7931 data_cost: 0.0019 ips: 28.6418 images/s [10/13 21:19:11] ppdet.engine INFO: Epoch: [36] [160/366] learning_rate: 0.385616 loss_vfl: 0.961384 loss_bbox: 0.339597 loss_dfl: 0.208714 loss: 1.498926 eta: 3 days, 2:46:02 batch_cost: 2.7700 data_cost: 0.0016 ips: 28.8806 images/s [10/13 21:20:10] ppdet.engine INFO: Epoch: [36] [180/366] learning_rate: 0.385574 loss_vfl: 0.953104 loss_bbox: 0.358930 loss_dfl: 0.211207 loss: 1.500820 eta: 3 days, 2:45:04 batch_cost: 2.7804 data_cost: 0.0022 ips: 28.7732 images/s [10/13 21:21:08] ppdet.engine INFO: Epoch: [36] [200/366] learning_rate: 0.385531 loss_vfl: 0.961904 loss_bbox: 0.358935 loss_dfl: 0.208094 loss: 1.520440 eta: 3 days, 2:44:03 batch_cost: 2.7548 data_cost: 0.0016 ips: 29.0403 images/s [10/13 21:22:07] ppdet.engine INFO: Epoch: [36] [220/366] learning_rate: 0.385488 loss_vfl: 0.955561 loss_bbox: 0.333897 loss_dfl: 0.202611 loss: 1.507537 eta: 3 days, 2:43:11 batch_cost: 2.8117 data_cost: 0.0016 ips: 28.4523 images/s [10/13 21:23:06] ppdet.engine INFO: Epoch: [36] [240/366] learning_rate: 0.385445 loss_vfl: 0.985167 loss_bbox: 0.347709 loss_dfl: 0.210885 loss: 1.531866 eta: 3 days, 2:42:14 batch_cost: 2.7809 data_cost: 0.0016 ips: 28.7682 images/s [10/13 21:24:04] ppdet.engine INFO: Epoch: [36] [260/366] learning_rate: 0.385402 loss_vfl: 0.949831 loss_bbox: 0.346472 loss_dfl: 0.199507 loss: 1.499570 eta: 3 days, 2:41:16 batch_cost: 2.7758 data_cost: 0.0016 ips: 28.8210 images/s [10/13 21:25:03] ppdet.engine INFO: Epoch: [36] [280/366] learning_rate: 0.385360 loss_vfl: 0.960546 loss_bbox: 0.349286 loss_dfl: 0.203868 loss: 1.502707 eta: 3 days, 2:40:25 batch_cost: 2.8260 data_cost: 0.0016 ips: 28.3090 images/s [10/13 21:26:03] ppdet.engine INFO: Epoch: [36] [300/366] learning_rate: 0.385316 loss_vfl: 0.960393 loss_bbox: 0.340174 loss_dfl: 0.206064 loss: 1.499586 eta: 3 days, 2:39:33 batch_cost: 2.8172 data_cost: 0.0016 ips: 28.3970 images/s [10/13 21:27:01] ppdet.engine INFO: Epoch: [36] [320/366] learning_rate: 0.385273 loss_vfl: 0.973384 loss_bbox: 0.347513 loss_dfl: 0.206518 loss: 1.512887 eta: 3 days, 2:38:31 batch_cost: 2.7474 data_cost: 0.0016 ips: 29.1183 images/s [10/13 21:28:00] ppdet.engine INFO: Epoch: [36] [340/366] learning_rate: 0.385230 loss_vfl: 0.983032 loss_bbox: 0.347394 loss_dfl: 0.202788 loss: 1.519514 eta: 3 days, 2:37:42 batch_cost: 2.8380 data_cost: 0.0017 ips: 28.1889 images/s [10/13 21:28:55] ppdet.engine INFO: Epoch: [36] [360/366] learning_rate: 0.385187 loss_vfl: 0.962980 loss_bbox: 0.373024 loss_dfl: 0.210465 loss: 1.532868 eta: 3 days, 2:36:14 batch_cost: 2.5624 data_cost: 0.0016 ips: 31.2213 images/s [10/13 21:29:34] ppdet.engine INFO: Epoch: [37] [ 0/366] learning_rate: 0.385174 loss_vfl: 0.961482 loss_bbox: 0.344662 loss_dfl: 0.203507 loss: 1.497826 eta: 3 days, 2:38:06 batch_cost: 3.4955 data_cost: 0.3807 ips: 22.8866 images/s [10/13 21:30:35] ppdet.engine INFO: Epoch: [37] [ 20/366] learning_rate: 0.385131 loss_vfl: 0.969126 loss_bbox: 0.347432 loss_dfl: 0.214572 loss: 1.529609 eta: 3 days, 2:37:25 batch_cost: 2.8949 data_cost: 0.0018 ips: 27.6344 images/s [10/13 21:31:35] ppdet.engine INFO: Epoch: [37] [ 40/366] learning_rate: 0.385088 loss_vfl: 0.966253 loss_bbox: 0.326252 loss_dfl: 0.199011 loss: 1.505457 eta: 3 days, 2:36:32 batch_cost: 2.8146 data_cost: 0.0016 ips: 28.4228 images/s [10/13 21:32:33] ppdet.engine INFO: Epoch: [37] [ 60/366] learning_rate: 0.385044 loss_vfl: 0.965976 loss_bbox: 0.351970 loss_dfl: 0.210679 loss: 1.523922 eta: 3 days, 2:35:32 batch_cost: 2.7587 data_cost: 0.0016 ips: 28.9992 images/s [10/13 21:33:32] ppdet.engine INFO: Epoch: [37] [ 80/366] learning_rate: 0.385001 loss_vfl: 0.956447 loss_bbox: 0.336353 loss_dfl: 0.204724 loss: 1.480618 eta: 3 days, 2:34:37 batch_cost: 2.7970 data_cost: 0.0016 ips: 28.6022 images/s [10/13 21:34:32] ppdet.engine INFO: Epoch: [37] [100/366] learning_rate: 0.384957 loss_vfl: 0.954060 loss_bbox: 0.363478 loss_dfl: 0.216165 loss: 1.538826 eta: 3 days, 2:33:49 batch_cost: 2.8460 data_cost: 0.0016 ips: 28.1096 images/s [10/13 21:35:30] ppdet.engine INFO: Epoch: [37] [120/366] learning_rate: 0.384914 loss_vfl: 0.950727 loss_bbox: 0.351353 loss_dfl: 0.209981 loss: 1.519221 eta: 3 days, 2:32:48 batch_cost: 2.7542 data_cost: 0.0016 ips: 29.0461 images/s [10/13 21:36:29] ppdet.engine INFO: Epoch: [37] [140/366] learning_rate: 0.384870 loss_vfl: 0.949419 loss_bbox: 0.357225 loss_dfl: 0.207970 loss: 1.509200 eta: 3 days, 2:31:52 batch_cost: 2.7945 data_cost: 0.0016 ips: 28.6274 images/s [10/13 21:37:28] ppdet.engine INFO: Epoch: [37] [160/366] learning_rate: 0.384826 loss_vfl: 0.970487 loss_bbox: 0.343464 loss_dfl: 0.201573 loss: 1.501735 eta: 3 days, 2:31:00 batch_cost: 2.8182 data_cost: 0.0017 ips: 28.3868 images/s [10/13 21:38:27] ppdet.engine INFO: Epoch: [37] [180/366] learning_rate: 0.384782 loss_vfl: 0.946890 loss_bbox: 0.349109 loss_dfl: 0.209177 loss: 1.505444 eta: 3 days, 2:30:01 batch_cost: 2.7691 data_cost: 0.0017 ips: 28.8906 images/s [10/13 21:39:26] ppdet.engine INFO: Epoch: [37] [200/366] learning_rate: 0.384739 loss_vfl: 0.957142 loss_bbox: 0.354319 loss_dfl: 0.204904 loss: 1.503918 eta: 3 days, 2:29:12 batch_cost: 2.8376 data_cost: 0.0016 ips: 28.1930 images/s [10/13 21:40:26] ppdet.engine INFO: Epoch: [37] [220/366] learning_rate: 0.384695 loss_vfl: 0.955002 loss_bbox: 0.334515 loss_dfl: 0.203962 loss: 1.520277 eta: 3 days, 2:28:21 batch_cost: 2.8295 data_cost: 0.0017 ips: 28.2737 images/s [10/13 21:41:23] ppdet.engine INFO: Epoch: [37] [240/366] learning_rate: 0.384651 loss_vfl: 0.951100 loss_bbox: 0.342292 loss_dfl: 0.206538 loss: 1.523042 eta: 3 days, 2:27:16 batch_cost: 2.7252 data_cost: 0.0016 ips: 29.3555 images/s [10/13 21:42:21] ppdet.engine INFO: Epoch: [37] [260/366] learning_rate: 0.384607 loss_vfl: 0.965907 loss_bbox: 0.334926 loss_dfl: 0.201705 loss: 1.514384 eta: 3 days, 2:26:14 batch_cost: 2.7424 data_cost: 0.0016 ips: 29.1717 images/s [10/13 21:43:20] ppdet.engine INFO: Epoch: [37] [280/366] learning_rate: 0.384563 loss_vfl: 0.960215 loss_bbox: 0.351117 loss_dfl: 0.208577 loss: 1.515774 eta: 3 days, 2:25:18 batch_cost: 2.7961 data_cost: 0.0016 ips: 28.6115 images/s [10/13 21:44:20] ppdet.engine INFO: Epoch: [37] [300/366] learning_rate: 0.384519 loss_vfl: 0.953746 loss_bbox: 0.348365 loss_dfl: 0.215400 loss: 1.506803 eta: 3 days, 2:24:26 batch_cost: 2.8172 data_cost: 0.0017 ips: 28.3971 images/s [10/13 21:45:18] ppdet.engine INFO: Epoch: [37] [320/366] learning_rate: 0.384474 loss_vfl: 0.950522 loss_bbox: 0.342357 loss_dfl: 0.205995 loss: 1.507546 eta: 3 days, 2:23:32 batch_cost: 2.8049 data_cost: 0.0016 ips: 28.5214 images/s [10/13 21:46:18] ppdet.engine INFO: Epoch: [37] [340/366] learning_rate: 0.384430 loss_vfl: 0.963747 loss_bbox: 0.339135 loss_dfl: 0.208312 loss: 1.525437 eta: 3 days, 2:22:38 batch_cost: 2.8032 data_cost: 0.0017 ips: 28.5389 images/s [10/13 21:47:11] ppdet.engine INFO: Epoch: [37] [360/366] learning_rate: 0.384386 loss_vfl: 0.957451 loss_bbox: 0.349460 loss_dfl: 0.204940 loss: 1.498436 eta: 3 days, 2:21:08 batch_cost: 2.5430 data_cost: 0.0015 ips: 31.4586 images/s [10/13 21:47:49] ppdet.engine INFO: Epoch: [38] [ 0/366] learning_rate: 0.384373 loss_vfl: 0.962192 loss_bbox: 0.350139 loss_dfl: 0.204940 loss: 1.515511 eta: 3 days, 2:22:47 batch_cost: 3.3641 data_cost: 0.4731 ips: 23.7806 images/s [10/13 21:48:50] ppdet.engine INFO: Epoch: [38] [ 20/366] learning_rate: 0.384328 loss_vfl: 0.966556 loss_bbox: 0.342259 loss_dfl: 0.201517 loss: 1.500989 eta: 3 days, 2:22:07 batch_cost: 2.9049 data_cost: 0.0019 ips: 27.5399 images/s [10/13 21:49:49] ppdet.engine INFO: Epoch: [38] [ 40/366] learning_rate: 0.384284 loss_vfl: 0.970054 loss_bbox: 0.336241 loss_dfl: 0.204026 loss: 1.511288 eta: 3 days, 2:21:07 batch_cost: 2.7650 data_cost: 0.0024 ips: 28.9330 images/s [10/13 21:50:47] ppdet.engine INFO: Epoch: [38] [ 60/366] learning_rate: 0.384239 loss_vfl: 0.935401 loss_bbox: 0.344723 loss_dfl: 0.202969 loss: 1.489655 eta: 3 days, 2:20:10 batch_cost: 2.7848 data_cost: 0.0018 ips: 28.7274 images/s [10/13 21:51:45] ppdet.engine INFO: Epoch: [38] [ 80/366] learning_rate: 0.384195 loss_vfl: 0.957974 loss_bbox: 0.346536 loss_dfl: 0.203721 loss: 1.496277 eta: 3 days, 2:19:09 batch_cost: 2.7553 data_cost: 0.0016 ips: 29.0351 images/s [10/13 21:52:44] ppdet.engine INFO: Epoch: [38] [100/366] learning_rate: 0.384150 loss_vfl: 0.955547 loss_bbox: 0.333761 loss_dfl: 0.192972 loss: 1.467043 eta: 3 days, 2:18:12 batch_cost: 2.7823 data_cost: 0.0016 ips: 28.7527 images/s [10/13 21:53:43] ppdet.engine INFO: Epoch: [38] [120/366] learning_rate: 0.384105 loss_vfl: 0.940775 loss_bbox: 0.340305 loss_dfl: 0.200607 loss: 1.496765 eta: 3 days, 2:17:21 batch_cost: 2.8287 data_cost: 0.0016 ips: 28.2813 images/s [10/13 21:54:42] ppdet.engine INFO: Epoch: [38] [140/366] learning_rate: 0.384061 loss_vfl: 0.971454 loss_bbox: 0.337908 loss_dfl: 0.203916 loss: 1.521833 eta: 3 days, 2:16:21 batch_cost: 2.7650 data_cost: 0.0016 ips: 28.9332 images/s [10/13 21:55:42] ppdet.engine INFO: Epoch: [38] [160/366] learning_rate: 0.384016 loss_vfl: 0.956625 loss_bbox: 0.360379 loss_dfl: 0.207740 loss: 1.512822 eta: 3 days, 2:15:35 batch_cost: 2.8598 data_cost: 0.0016 ips: 27.9736 images/s [10/13 21:56:40] ppdet.engine INFO: Epoch: [38] [180/366] learning_rate: 0.383971 loss_vfl: 0.959572 loss_bbox: 0.327101 loss_dfl: 0.206030 loss: 1.509063 eta: 3 days, 2:14:34 batch_cost: 2.7551 data_cost: 0.0016 ips: 29.0370 images/s [10/13 21:57:38] ppdet.engine INFO: Epoch: [38] [200/366] learning_rate: 0.383926 loss_vfl: 0.942480 loss_bbox: 0.343755 loss_dfl: 0.205709 loss: 1.489725 eta: 3 days, 2:13:34 batch_cost: 2.7636 data_cost: 0.0016 ips: 28.9479 images/s [10/13 21:58:36] ppdet.engine INFO: Epoch: [38] [220/366] learning_rate: 0.383881 loss_vfl: 0.966667 loss_bbox: 0.346364 loss_dfl: 0.208873 loss: 1.513768 eta: 3 days, 2:12:36 batch_cost: 2.7732 data_cost: 0.0016 ips: 28.8476 images/s [10/13 21:59:37] ppdet.engine INFO: Epoch: [38] [240/366] learning_rate: 0.383836 loss_vfl: 0.967265 loss_bbox: 0.346755 loss_dfl: 0.209712 loss: 1.519699 eta: 3 days, 2:11:48 batch_cost: 2.8508 data_cost: 0.0016 ips: 28.0628 images/s [10/13 22:00:36] ppdet.engine INFO: Epoch: [38] [260/366] learning_rate: 0.383791 loss_vfl: 0.957013 loss_bbox: 0.351024 loss_dfl: 0.208052 loss: 1.520199 eta: 3 days, 2:10:54 batch_cost: 2.8095 data_cost: 0.0017 ips: 28.4748 images/s [10/13 22:01:34] ppdet.engine INFO: Epoch: [38] [280/366] learning_rate: 0.383746 loss_vfl: 0.965414 loss_bbox: 0.343659 loss_dfl: 0.198195 loss: 1.504959 eta: 3 days, 2:09:53 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0923 images/s [10/13 22:02:31] ppdet.engine INFO: Epoch: [38] [300/366] learning_rate: 0.383701 loss_vfl: 0.964375 loss_bbox: 0.346577 loss_dfl: 0.202175 loss: 1.501429 eta: 3 days, 2:08:44 batch_cost: 2.6962 data_cost: 0.0016 ips: 29.6710 images/s [10/13 22:03:29] ppdet.engine INFO: Epoch: [38] [320/366] learning_rate: 0.383655 loss_vfl: 0.950657 loss_bbox: 0.357161 loss_dfl: 0.207527 loss: 1.505754 eta: 3 days, 2:07:45 batch_cost: 2.7721 data_cost: 0.0016 ips: 28.8585 images/s [10/13 22:04:27] ppdet.engine INFO: Epoch: [38] [340/366] learning_rate: 0.383610 loss_vfl: 0.969074 loss_bbox: 0.339827 loss_dfl: 0.208752 loss: 1.517989 eta: 3 days, 2:06:47 batch_cost: 2.7750 data_cost: 0.0015 ips: 28.8293 images/s [10/13 22:05:22] ppdet.engine INFO: Epoch: [38] [360/366] learning_rate: 0.383565 loss_vfl: 0.964218 loss_bbox: 0.357532 loss_dfl: 0.205690 loss: 1.516549 eta: 3 days, 2:05:26 batch_cost: 2.6066 data_cost: 0.0016 ips: 30.6911 images/s [10/13 22:05:59] ppdet.engine INFO: Epoch: [39] [ 0/366] learning_rate: 0.383551 loss_vfl: 0.965911 loss_bbox: 0.353955 loss_dfl: 0.209337 loss: 1.526822 eta: 3 days, 2:06:55 batch_cost: 3.3644 data_cost: 0.5649 ips: 23.7780 images/s [10/13 22:07:02] ppdet.engine INFO: Epoch: [39] [ 20/366] learning_rate: 0.383505 loss_vfl: 0.948670 loss_bbox: 0.341049 loss_dfl: 0.199760 loss: 1.493245 eta: 3 days, 2:06:26 batch_cost: 2.9933 data_cost: 0.0019 ips: 26.7264 images/s [10/13 22:08:01] ppdet.engine INFO: Epoch: [39] [ 40/366] learning_rate: 0.383460 loss_vfl: 0.941683 loss_bbox: 0.357406 loss_dfl: 0.216051 loss: 1.535450 eta: 3 days, 2:05:25 batch_cost: 2.7516 data_cost: 0.0016 ips: 29.0743 images/s [10/13 22:08:58] ppdet.engine INFO: Epoch: [39] [ 60/366] learning_rate: 0.383414 loss_vfl: 0.949847 loss_bbox: 0.353571 loss_dfl: 0.209018 loss: 1.499517 eta: 3 days, 2:04:21 batch_cost: 2.7320 data_cost: 0.0016 ips: 29.2826 images/s [10/13 22:09:58] ppdet.engine INFO: Epoch: [39] [ 80/366] learning_rate: 0.383369 loss_vfl: 0.963805 loss_bbox: 0.331551 loss_dfl: 0.198709 loss: 1.493315 eta: 3 days, 2:03:29 batch_cost: 2.8247 data_cost: 0.0017 ips: 28.3217 images/s [10/13 22:10:57] ppdet.engine INFO: Epoch: [39] [100/366] learning_rate: 0.383323 loss_vfl: 0.947800 loss_bbox: 0.335631 loss_dfl: 0.206602 loss: 1.492660 eta: 3 days, 2:02:34 batch_cost: 2.8025 data_cost: 0.0022 ips: 28.5459 images/s [10/13 22:11:57] ppdet.engine INFO: Epoch: [39] [120/366] learning_rate: 0.383277 loss_vfl: 0.953928 loss_bbox: 0.342813 loss_dfl: 0.199533 loss: 1.503044 eta: 3 days, 2:01:44 batch_cost: 2.8382 data_cost: 0.0016 ips: 28.1865 images/s [10/13 22:12:57] ppdet.engine INFO: Epoch: [39] [140/366] learning_rate: 0.383231 loss_vfl: 0.944097 loss_bbox: 0.335922 loss_dfl: 0.197910 loss: 1.487164 eta: 3 days, 2:00:51 batch_cost: 2.8155 data_cost: 0.0016 ips: 28.4145 images/s [10/13 22:13:55] ppdet.engine INFO: Epoch: [39] [160/366] learning_rate: 0.383185 loss_vfl: 0.954607 loss_bbox: 0.335487 loss_dfl: 0.202308 loss: 1.499395 eta: 3 days, 1:59:55 batch_cost: 2.7880 data_cost: 0.0015 ips: 28.6947 images/s [10/13 22:14:55] ppdet.engine INFO: Epoch: [39] [180/366] learning_rate: 0.383139 loss_vfl: 0.958797 loss_bbox: 0.349817 loss_dfl: 0.206232 loss: 1.505993 eta: 3 days, 1:59:03 batch_cost: 2.8224 data_cost: 0.0016 ips: 28.3445 images/s [10/13 22:15:53] ppdet.engine INFO: Epoch: [39] [200/366] learning_rate: 0.383093 loss_vfl: 0.934342 loss_bbox: 0.344230 loss_dfl: 0.207823 loss: 1.494398 eta: 3 days, 1:58:00 batch_cost: 2.7435 data_cost: 0.0016 ips: 29.1602 images/s [10/13 22:16:53] ppdet.engine INFO: Epoch: [39] [220/366] learning_rate: 0.383047 loss_vfl: 0.955248 loss_bbox: 0.328733 loss_dfl: 0.197320 loss: 1.480369 eta: 3 days, 1:57:16 batch_cost: 2.8806 data_cost: 0.0016 ips: 27.7723 images/s [10/13 22:17:53] ppdet.engine INFO: Epoch: [39] [240/366] learning_rate: 0.383001 loss_vfl: 0.965739 loss_bbox: 0.338507 loss_dfl: 0.203865 loss: 1.520588 eta: 3 days, 1:56:26 batch_cost: 2.8356 data_cost: 0.0016 ips: 28.2125 images/s [10/13 22:18:52] ppdet.engine INFO: Epoch: [39] [260/366] learning_rate: 0.382955 loss_vfl: 0.968711 loss_bbox: 0.357962 loss_dfl: 0.211434 loss: 1.541855 eta: 3 days, 1:55:32 batch_cost: 2.8108 data_cost: 0.0016 ips: 28.4617 images/s [10/13 22:19:52] ppdet.engine INFO: Epoch: [39] [280/366] learning_rate: 0.382909 loss_vfl: 0.952843 loss_bbox: 0.328312 loss_dfl: 0.200008 loss: 1.477221 eta: 3 days, 1:54:40 batch_cost: 2.8225 data_cost: 0.0017 ips: 28.3433 images/s [10/13 22:20:52] ppdet.engine INFO: Epoch: [39] [300/366] learning_rate: 0.382862 loss_vfl: 0.953204 loss_bbox: 0.344844 loss_dfl: 0.204693 loss: 1.507199 eta: 3 days, 1:53:56 batch_cost: 2.8844 data_cost: 0.0016 ips: 27.7352 images/s [10/13 22:21:53] ppdet.engine INFO: Epoch: [39] [320/366] learning_rate: 0.382816 loss_vfl: 0.945537 loss_bbox: 0.347787 loss_dfl: 0.210028 loss: 1.507033 eta: 3 days, 1:53:14 batch_cost: 2.9024 data_cost: 0.0016 ips: 27.5629 images/s [10/13 22:22:54] ppdet.engine INFO: Epoch: [39] [340/366] learning_rate: 0.382770 loss_vfl: 0.958566 loss_bbox: 0.347151 loss_dfl: 0.200310 loss: 1.520385 eta: 3 days, 1:52:29 batch_cost: 2.8744 data_cost: 0.0016 ips: 27.8320 images/s [10/13 22:23:49] ppdet.engine INFO: Epoch: [39] [360/366] learning_rate: 0.382723 loss_vfl: 0.978442 loss_bbox: 0.332107 loss_dfl: 0.198361 loss: 1.510267 eta: 3 days, 1:51:10 batch_cost: 2.6169 data_cost: 0.0016 ips: 30.5710 images/s [10/13 22:24:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 22:24:05] ppdet.engine INFO: Eval iter: 0 [10/13 22:24:44] ppdet.engine INFO: Eval iter: 100 [10/13 22:25:07] ppdet.engine INFO: Eval iter: 200 [10/13 22:25:30] ppdet.engine INFO: Eval iter: 300 [10/13 22:25:54] ppdet.engine INFO: Eval iter: 400 [10/13 22:26:17] ppdet.engine INFO: Eval iter: 500 [10/13 22:26:41] ppdet.engine INFO: Eval iter: 600 [10/13 22:27:03] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.03s) creating index... index created! [10/13 22:27:04] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.70s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.73s). Accumulating evaluation results... DONE (t=17.60s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.261 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.397 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.272 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.084 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.397 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.425 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.160 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.461 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.669 [10/13 22:29:08] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.512116288497754 [10/13 22:29:08] ppdet.engine INFO: Best test bbox ap is 0.261. [10/13 22:29:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/13 22:29:11] ppdet.engine INFO: Epoch: [40] [ 0/366] learning_rate: 0.382709 loss_vfl: 0.969464 loss_bbox: 0.336405 loss_dfl: 0.198584 loss: 1.503010 eta: 3 days, 1:50:34 batch_cost: 2.4756 data_cost: 0.0016 ips: 32.3155 images/s [10/13 22:30:10] ppdet.engine INFO: Epoch: [40] [ 20/366] learning_rate: 0.382663 loss_vfl: 0.943928 loss_bbox: 0.364475 loss_dfl: 0.205802 loss: 1.535481 eta: 3 days, 1:49:36 batch_cost: 2.7793 data_cost: 0.0018 ips: 28.7842 images/s [10/13 22:31:10] ppdet.engine INFO: Epoch: [40] [ 40/366] learning_rate: 0.382616 loss_vfl: 0.951909 loss_bbox: 0.341529 loss_dfl: 0.210047 loss: 1.493598 eta: 3 days, 1:48:48 batch_cost: 2.8492 data_cost: 0.0016 ips: 28.0779 images/s [10/13 22:32:09] ppdet.engine INFO: Epoch: [40] [ 60/366] learning_rate: 0.382569 loss_vfl: 0.951269 loss_bbox: 0.348934 loss_dfl: 0.198605 loss: 1.521043 eta: 3 days, 1:47:53 batch_cost: 2.8046 data_cost: 0.0016 ips: 28.5246 images/s [10/13 22:33:09] ppdet.engine INFO: Epoch: [40] [ 80/366] learning_rate: 0.382522 loss_vfl: 0.950617 loss_bbox: 0.333424 loss_dfl: 0.202384 loss: 1.480724 eta: 3 days, 1:46:57 batch_cost: 2.7936 data_cost: 0.0016 ips: 28.6372 images/s [10/13 22:34:05] ppdet.engine INFO: Epoch: [40] [100/366] learning_rate: 0.382476 loss_vfl: 0.951614 loss_bbox: 0.340380 loss_dfl: 0.197811 loss: 1.478392 eta: 3 days, 1:45:50 batch_cost: 2.7029 data_cost: 0.0016 ips: 29.5982 images/s [10/13 22:35:03] ppdet.engine INFO: Epoch: [40] [120/366] learning_rate: 0.382429 loss_vfl: 0.946253 loss_bbox: 0.342984 loss_dfl: 0.198968 loss: 1.508805 eta: 3 days, 1:44:44 batch_cost: 2.7199 data_cost: 0.0016 ips: 29.4124 images/s [10/13 22:36:01] ppdet.engine INFO: Epoch: [40] [140/366] learning_rate: 0.382382 loss_vfl: 0.958279 loss_bbox: 0.331151 loss_dfl: 0.203565 loss: 1.497562 eta: 3 days, 1:43:42 batch_cost: 2.7454 data_cost: 0.0016 ips: 29.1401 images/s [10/13 22:36:59] ppdet.engine INFO: Epoch: [40] [160/366] learning_rate: 0.382335 loss_vfl: 0.960069 loss_bbox: 0.362082 loss_dfl: 0.219688 loss: 1.532638 eta: 3 days, 1:42:40 batch_cost: 2.7458 data_cost: 0.0015 ips: 29.1359 images/s [10/13 22:37:57] ppdet.engine INFO: Epoch: [40] [180/366] learning_rate: 0.382288 loss_vfl: 0.954728 loss_bbox: 0.355870 loss_dfl: 0.210794 loss: 1.522737 eta: 3 days, 1:41:40 batch_cost: 2.7571 data_cost: 0.0015 ips: 29.0162 images/s [10/13 22:38:55] ppdet.engine INFO: Epoch: [40] [200/366] learning_rate: 0.382241 loss_vfl: 0.953955 loss_bbox: 0.334573 loss_dfl: 0.197836 loss: 1.490478 eta: 3 days, 1:40:39 batch_cost: 2.7579 data_cost: 0.0015 ips: 29.0079 images/s [10/13 22:39:54] ppdet.engine INFO: Epoch: [40] [220/366] learning_rate: 0.382193 loss_vfl: 0.947148 loss_bbox: 0.363561 loss_dfl: 0.212660 loss: 1.505827 eta: 3 days, 1:39:42 batch_cost: 2.7794 data_cost: 0.0017 ips: 28.7834 images/s [10/13 22:40:52] ppdet.engine INFO: Epoch: [40] [240/366] learning_rate: 0.382146 loss_vfl: 0.955159 loss_bbox: 0.334653 loss_dfl: 0.204501 loss: 1.500596 eta: 3 days, 1:38:42 batch_cost: 2.7625 data_cost: 0.0016 ips: 28.9596 images/s [10/13 22:41:51] ppdet.engine INFO: Epoch: [40] [260/366] learning_rate: 0.382099 loss_vfl: 0.955851 loss_bbox: 0.352163 loss_dfl: 0.205029 loss: 1.524859 eta: 3 days, 1:37:43 batch_cost: 2.7711 data_cost: 0.0015 ips: 28.8696 images/s [10/13 22:42:50] ppdet.engine INFO: Epoch: [40] [280/366] learning_rate: 0.382052 loss_vfl: 0.958223 loss_bbox: 0.323195 loss_dfl: 0.208862 loss: 1.490441 eta: 3 days, 1:36:53 batch_cost: 2.8367 data_cost: 0.0017 ips: 28.2019 images/s [10/13 22:43:50] ppdet.engine INFO: Epoch: [40] [300/366] learning_rate: 0.382004 loss_vfl: 0.973065 loss_bbox: 0.347101 loss_dfl: 0.211519 loss: 1.523226 eta: 3 days, 1:36:02 batch_cost: 2.8302 data_cost: 0.0016 ips: 28.2666 images/s [10/13 22:44:48] ppdet.engine INFO: Epoch: [40] [320/366] learning_rate: 0.381957 loss_vfl: 0.967147 loss_bbox: 0.341367 loss_dfl: 0.202383 loss: 1.512362 eta: 3 days, 1:35:04 batch_cost: 2.7796 data_cost: 0.0015 ips: 28.7808 images/s [10/13 22:45:46] ppdet.engine INFO: Epoch: [40] [340/366] learning_rate: 0.381909 loss_vfl: 0.959782 loss_bbox: 0.341396 loss_dfl: 0.209880 loss: 1.503522 eta: 3 days, 1:33:59 batch_cost: 2.7188 data_cost: 0.0015 ips: 29.4252 images/s [10/13 22:46:41] ppdet.engine INFO: Epoch: [40] [360/366] learning_rate: 0.381862 loss_vfl: 0.970146 loss_bbox: 0.320745 loss_dfl: 0.197543 loss: 1.497885 eta: 3 days, 1:32:38 batch_cost: 2.5961 data_cost: 0.0016 ips: 30.8159 images/s [10/13 22:47:17] ppdet.engine INFO: Epoch: [41] [ 0/366] learning_rate: 0.381847 loss_vfl: 0.962425 loss_bbox: 0.325387 loss_dfl: 0.197543 loss: 1.488843 eta: 3 days, 1:34:01 batch_cost: 3.3574 data_cost: 0.4498 ips: 23.8283 images/s [10/13 22:48:16] ppdet.engine INFO: Epoch: [41] [ 20/366] learning_rate: 0.381800 loss_vfl: 0.944685 loss_bbox: 0.325828 loss_dfl: 0.203760 loss: 1.504130 eta: 3 days, 1:33:01 batch_cost: 2.7616 data_cost: 0.0021 ips: 28.9684 images/s [10/13 22:49:14] ppdet.engine INFO: Epoch: [41] [ 40/366] learning_rate: 0.381752 loss_vfl: 0.947559 loss_bbox: 0.337668 loss_dfl: 0.199638 loss: 1.481423 eta: 3 days, 1:31:59 batch_cost: 2.7434 data_cost: 0.0017 ips: 29.1609 images/s [10/13 22:50:13] ppdet.engine INFO: Epoch: [41] [ 60/366] learning_rate: 0.381704 loss_vfl: 0.955244 loss_bbox: 0.352613 loss_dfl: 0.206288 loss: 1.520923 eta: 3 days, 1:31:01 batch_cost: 2.7768 data_cost: 0.0017 ips: 28.8103 images/s [10/13 22:51:11] ppdet.engine INFO: Epoch: [41] [ 80/366] learning_rate: 0.381656 loss_vfl: 0.947015 loss_bbox: 0.334501 loss_dfl: 0.203268 loss: 1.485314 eta: 3 days, 1:30:01 batch_cost: 2.7652 data_cost: 0.0020 ips: 28.9308 images/s [10/13 22:52:09] ppdet.engine INFO: Epoch: [41] [100/366] learning_rate: 0.381608 loss_vfl: 0.970735 loss_bbox: 0.346899 loss_dfl: 0.210874 loss: 1.517269 eta: 3 days, 1:28:58 batch_cost: 2.7315 data_cost: 0.0016 ips: 29.2874 images/s [10/13 22:53:07] ppdet.engine INFO: Epoch: [41] [120/366] learning_rate: 0.381560 loss_vfl: 0.953251 loss_bbox: 0.335856 loss_dfl: 0.202324 loss: 1.498921 eta: 3 days, 1:28:01 batch_cost: 2.7852 data_cost: 0.0019 ips: 28.7237 images/s [10/13 22:54:08] ppdet.engine INFO: Epoch: [41] [140/366] learning_rate: 0.381512 loss_vfl: 0.945033 loss_bbox: 0.352089 loss_dfl: 0.210265 loss: 1.519135 eta: 3 days, 1:27:14 batch_cost: 2.8658 data_cost: 0.0017 ips: 27.9156 images/s [10/13 22:55:05] ppdet.engine INFO: Epoch: [41] [160/366] learning_rate: 0.381464 loss_vfl: 0.962101 loss_bbox: 0.350538 loss_dfl: 0.210203 loss: 1.511374 eta: 3 days, 1:26:08 batch_cost: 2.7092 data_cost: 0.0017 ips: 29.5295 images/s [10/13 22:56:05] ppdet.engine INFO: Epoch: [41] [180/366] learning_rate: 0.381416 loss_vfl: 0.962270 loss_bbox: 0.332840 loss_dfl: 0.204379 loss: 1.506515 eta: 3 days, 1:25:18 batch_cost: 2.8460 data_cost: 0.0016 ips: 28.1096 images/s [10/13 22:57:03] ppdet.engine INFO: Epoch: [41] [200/366] learning_rate: 0.381368 loss_vfl: 0.968819 loss_bbox: 0.359299 loss_dfl: 0.209874 loss: 1.518601 eta: 3 days, 1:24:18 batch_cost: 2.7593 data_cost: 0.0016 ips: 28.9931 images/s [10/13 22:58:01] ppdet.engine INFO: Epoch: [41] [220/366] learning_rate: 0.381320 loss_vfl: 0.955449 loss_bbox: 0.338064 loss_dfl: 0.199369 loss: 1.519106 eta: 3 days, 1:23:15 batch_cost: 2.7385 data_cost: 0.0016 ips: 29.2131 images/s [10/13 22:59:00] ppdet.engine INFO: Epoch: [41] [240/366] learning_rate: 0.381271 loss_vfl: 0.959941 loss_bbox: 0.353610 loss_dfl: 0.210695 loss: 1.518869 eta: 3 days, 1:22:25 batch_cost: 2.8359 data_cost: 0.0016 ips: 28.2096 images/s [10/13 23:00:00] ppdet.engine INFO: Epoch: [41] [260/366] learning_rate: 0.381223 loss_vfl: 0.966135 loss_bbox: 0.335005 loss_dfl: 0.198452 loss: 1.504845 eta: 3 days, 1:21:33 batch_cost: 2.8245 data_cost: 0.0016 ips: 28.3240 images/s [10/13 23:00:58] ppdet.engine INFO: Epoch: [41] [280/366] learning_rate: 0.381174 loss_vfl: 0.942975 loss_bbox: 0.339790 loss_dfl: 0.198976 loss: 1.483337 eta: 3 days, 1:20:31 batch_cost: 2.7473 data_cost: 0.0017 ips: 29.1195 images/s [10/13 23:01:56] ppdet.engine INFO: Epoch: [41] [300/366] learning_rate: 0.381126 loss_vfl: 0.961983 loss_bbox: 0.336067 loss_dfl: 0.201329 loss: 1.494659 eta: 3 days, 1:19:34 batch_cost: 2.7841 data_cost: 0.0016 ips: 28.7346 images/s [10/13 23:02:55] ppdet.engine INFO: Epoch: [41] [320/366] learning_rate: 0.381077 loss_vfl: 0.967850 loss_bbox: 0.340411 loss_dfl: 0.201297 loss: 1.496434 eta: 3 days, 1:18:36 batch_cost: 2.7753 data_cost: 0.0016 ips: 28.8258 images/s [10/13 23:03:52] ppdet.engine INFO: Epoch: [41] [340/366] learning_rate: 0.381029 loss_vfl: 0.963291 loss_bbox: 0.340487 loss_dfl: 0.200733 loss: 1.509475 eta: 3 days, 1:17:30 batch_cost: 2.7151 data_cost: 0.0016 ips: 29.4647 images/s [10/13 23:04:46] ppdet.engine INFO: Epoch: [41] [360/366] learning_rate: 0.380980 loss_vfl: 0.960024 loss_bbox: 0.350602 loss_dfl: 0.209890 loss: 1.527607 eta: 3 days, 1:16:04 batch_cost: 2.5487 data_cost: 0.0017 ips: 31.3885 images/s [10/13 23:05:24] ppdet.engine INFO: Epoch: [42] [ 0/366] learning_rate: 0.380965 loss_vfl: 0.957534 loss_bbox: 0.333962 loss_dfl: 0.207154 loss: 1.489884 eta: 3 days, 1:17:29 batch_cost: 3.3854 data_cost: 0.2057 ips: 23.6308 images/s [10/13 23:06:21] ppdet.engine INFO: Epoch: [42] [ 20/366] learning_rate: 0.380917 loss_vfl: 0.952066 loss_bbox: 0.347021 loss_dfl: 0.207228 loss: 1.509694 eta: 3 days, 1:16:24 batch_cost: 2.7174 data_cost: 0.0017 ips: 29.4398 images/s [10/13 23:07:19] ppdet.engine INFO: Epoch: [42] [ 40/366] learning_rate: 0.380868 loss_vfl: 0.943009 loss_bbox: 0.336599 loss_dfl: 0.200403 loss: 1.462680 eta: 3 days, 1:15:18 batch_cost: 2.7091 data_cost: 0.0016 ips: 29.5305 images/s [10/13 23:08:18] ppdet.engine INFO: Epoch: [42] [ 60/366] learning_rate: 0.380819 loss_vfl: 0.940983 loss_bbox: 0.340956 loss_dfl: 0.197344 loss: 1.493330 eta: 3 days, 1:14:24 batch_cost: 2.8105 data_cost: 0.0016 ips: 28.4644 images/s [10/13 23:09:15] ppdet.engine INFO: Epoch: [42] [ 80/366] learning_rate: 0.380770 loss_vfl: 0.944201 loss_bbox: 0.310315 loss_dfl: 0.197697 loss: 1.468634 eta: 3 days, 1:13:21 batch_cost: 2.7355 data_cost: 0.0016 ips: 29.2448 images/s [10/13 23:10:15] ppdet.engine INFO: Epoch: [42] [100/366] learning_rate: 0.380721 loss_vfl: 0.962650 loss_bbox: 0.339548 loss_dfl: 0.204518 loss: 1.519186 eta: 3 days, 1:12:31 batch_cost: 2.8430 data_cost: 0.0016 ips: 28.1388 images/s [10/13 23:11:15] ppdet.engine INFO: Epoch: [42] [120/366] learning_rate: 0.380672 loss_vfl: 0.950979 loss_bbox: 0.331036 loss_dfl: 0.199655 loss: 1.485913 eta: 3 days, 1:11:39 batch_cost: 2.8287 data_cost: 0.0016 ips: 28.2815 images/s [10/13 23:12:14] ppdet.engine INFO: Epoch: [42] [140/366] learning_rate: 0.380623 loss_vfl: 0.953065 loss_bbox: 0.346996 loss_dfl: 0.211224 loss: 1.536305 eta: 3 days, 1:10:42 batch_cost: 2.7828 data_cost: 0.0016 ips: 28.7483 images/s [10/13 23:13:11] ppdet.engine INFO: Epoch: [42] [160/366] learning_rate: 0.380574 loss_vfl: 0.939704 loss_bbox: 0.338326 loss_dfl: 0.203919 loss: 1.502691 eta: 3 days, 1:09:40 batch_cost: 2.7409 data_cost: 0.0016 ips: 29.1874 images/s [10/13 23:14:09] ppdet.engine INFO: Epoch: [42] [180/366] learning_rate: 0.380524 loss_vfl: 0.966821 loss_bbox: 0.322617 loss_dfl: 0.201537 loss: 1.498224 eta: 3 days, 1:08:36 batch_cost: 2.7308 data_cost: 0.0017 ips: 29.2951 images/s [10/13 23:15:07] ppdet.engine INFO: Epoch: [42] [200/366] learning_rate: 0.380475 loss_vfl: 0.971585 loss_bbox: 0.328441 loss_dfl: 0.192918 loss: 1.492445 eta: 3 days, 1:07:36 batch_cost: 2.7625 data_cost: 0.0017 ips: 28.9598 images/s [10/13 23:16:07] ppdet.engine INFO: Epoch: [42] [220/366] learning_rate: 0.380426 loss_vfl: 0.955935 loss_bbox: 0.362074 loss_dfl: 0.211178 loss: 1.544540 eta: 3 days, 1:06:45 batch_cost: 2.8283 data_cost: 0.0016 ips: 28.2856 images/s [10/13 23:17:06] ppdet.engine INFO: Epoch: [42] [240/366] learning_rate: 0.380376 loss_vfl: 0.975881 loss_bbox: 0.342678 loss_dfl: 0.207954 loss: 1.505325 eta: 3 days, 1:05:50 batch_cost: 2.8037 data_cost: 0.0016 ips: 28.5334 images/s [10/13 23:18:05] ppdet.engine INFO: Epoch: [42] [260/366] learning_rate: 0.380327 loss_vfl: 0.957812 loss_bbox: 0.343197 loss_dfl: 0.210696 loss: 1.505140 eta: 3 days, 1:04:55 batch_cost: 2.8044 data_cost: 0.0016 ips: 28.5266 images/s [10/13 23:19:02] ppdet.engine INFO: Epoch: [42] [280/366] learning_rate: 0.380277 loss_vfl: 0.961401 loss_bbox: 0.352605 loss_dfl: 0.209406 loss: 1.514871 eta: 3 days, 1:03:51 batch_cost: 2.7265 data_cost: 0.0016 ips: 29.3422 images/s [10/13 23:20:03] ppdet.engine INFO: Epoch: [42] [300/366] learning_rate: 0.380228 loss_vfl: 0.951966 loss_bbox: 0.337129 loss_dfl: 0.203771 loss: 1.511276 eta: 3 days, 1:03:07 batch_cost: 2.8891 data_cost: 0.0017 ips: 27.6907 images/s [10/13 23:21:02] ppdet.engine INFO: Epoch: [42] [320/366] learning_rate: 0.380178 loss_vfl: 0.964504 loss_bbox: 0.348294 loss_dfl: 0.205092 loss: 1.530180 eta: 3 days, 1:02:09 batch_cost: 2.7793 data_cost: 0.0017 ips: 28.7840 images/s [10/13 23:22:01] ppdet.engine INFO: Epoch: [42] [340/366] learning_rate: 0.380128 loss_vfl: 0.959169 loss_bbox: 0.345242 loss_dfl: 0.208711 loss: 1.514692 eta: 3 days, 1:01:17 batch_cost: 2.8224 data_cost: 0.0016 ips: 28.3450 images/s [10/13 23:22:56] ppdet.engine INFO: Epoch: [42] [360/366] learning_rate: 0.380079 loss_vfl: 0.949555 loss_bbox: 0.355624 loss_dfl: 0.211416 loss: 1.521891 eta: 3 days, 0:59:53 batch_cost: 2.5588 data_cost: 0.0016 ips: 31.2645 images/s [10/13 23:23:33] ppdet.engine INFO: Epoch: [43] [ 0/366] learning_rate: 0.380064 loss_vfl: 0.945732 loss_bbox: 0.348764 loss_dfl: 0.207582 loss: 1.508681 eta: 3 days, 1:01:08 batch_cost: 3.3533 data_cost: 0.5911 ips: 23.8570 images/s [10/13 23:24:32] ppdet.engine INFO: Epoch: [43] [ 20/366] learning_rate: 0.380014 loss_vfl: 0.951351 loss_bbox: 0.333206 loss_dfl: 0.201334 loss: 1.474455 eta: 3 days, 1:00:17 batch_cost: 2.8336 data_cost: 0.0019 ips: 28.2329 images/s [10/13 23:25:32] ppdet.engine INFO: Epoch: [43] [ 40/366] learning_rate: 0.379964 loss_vfl: 0.942806 loss_bbox: 0.338275 loss_dfl: 0.207721 loss: 1.480222 eta: 3 days, 0:59:26 batch_cost: 2.8373 data_cost: 0.0016 ips: 28.1958 images/s [10/13 23:26:29] ppdet.engine INFO: Epoch: [43] [ 60/366] learning_rate: 0.379914 loss_vfl: 0.962227 loss_bbox: 0.328374 loss_dfl: 0.198025 loss: 1.505747 eta: 3 days, 0:58:20 batch_cost: 2.7109 data_cost: 0.0016 ips: 29.5104 images/s [10/13 23:27:28] ppdet.engine INFO: Epoch: [43] [ 80/366] learning_rate: 0.379864 loss_vfl: 0.952485 loss_bbox: 0.331993 loss_dfl: 0.209906 loss: 1.502395 eta: 3 days, 0:57:26 batch_cost: 2.8098 data_cost: 0.0016 ips: 28.4723 images/s [10/13 23:28:28] ppdet.engine INFO: Epoch: [43] [100/366] learning_rate: 0.379814 loss_vfl: 0.948151 loss_bbox: 0.329657 loss_dfl: 0.205104 loss: 1.473955 eta: 3 days, 0:56:33 batch_cost: 2.8162 data_cost: 0.0016 ips: 28.4075 images/s [10/13 23:29:25] ppdet.engine INFO: Epoch: [43] [120/366] learning_rate: 0.379764 loss_vfl: 0.951396 loss_bbox: 0.344138 loss_dfl: 0.206050 loss: 1.498027 eta: 3 days, 0:55:27 batch_cost: 2.7118 data_cost: 0.0016 ips: 29.5003 images/s [10/13 23:30:23] ppdet.engine INFO: Epoch: [43] [140/366] learning_rate: 0.379714 loss_vfl: 0.956571 loss_bbox: 0.325226 loss_dfl: 0.196778 loss: 1.482142 eta: 3 days, 0:54:27 batch_cost: 2.7603 data_cost: 0.0016 ips: 28.9825 images/s [10/13 23:31:22] ppdet.engine INFO: Epoch: [43] [160/366] learning_rate: 0.379663 loss_vfl: 0.945516 loss_bbox: 0.354763 loss_dfl: 0.210880 loss: 1.512465 eta: 3 days, 0:53:31 batch_cost: 2.7948 data_cost: 0.0016 ips: 28.6249 images/s [10/13 23:32:20] ppdet.engine INFO: Epoch: [43] [180/366] learning_rate: 0.379613 loss_vfl: 0.952157 loss_bbox: 0.344550 loss_dfl: 0.201270 loss: 1.512800 eta: 3 days, 0:52:29 batch_cost: 2.7448 data_cost: 0.0016 ips: 29.1464 images/s [10/13 23:33:20] ppdet.engine INFO: Epoch: [43] [200/366] learning_rate: 0.379563 loss_vfl: 0.942804 loss_bbox: 0.354605 loss_dfl: 0.210124 loss: 1.507237 eta: 3 days, 0:51:40 batch_cost: 2.8454 data_cost: 0.0018 ips: 28.1154 images/s [10/13 23:34:18] ppdet.engine INFO: Epoch: [43] [220/366] learning_rate: 0.379512 loss_vfl: 0.968413 loss_bbox: 0.330801 loss_dfl: 0.200199 loss: 1.509006 eta: 3 days, 0:50:43 batch_cost: 2.7929 data_cost: 0.0017 ips: 28.6437 images/s [10/13 23:35:17] ppdet.engine INFO: Epoch: [43] [240/366] learning_rate: 0.379462 loss_vfl: 0.964419 loss_bbox: 0.341489 loss_dfl: 0.202210 loss: 1.507097 eta: 3 days, 0:49:48 batch_cost: 2.7992 data_cost: 0.0016 ips: 28.5794 images/s [10/13 23:36:17] ppdet.engine INFO: Epoch: [43] [260/366] learning_rate: 0.379411 loss_vfl: 0.945945 loss_bbox: 0.340837 loss_dfl: 0.208359 loss: 1.483982 eta: 3 days, 0:48:55 batch_cost: 2.8184 data_cost: 0.0016 ips: 28.3850 images/s [10/13 23:37:15] ppdet.engine INFO: Epoch: [43] [280/366] learning_rate: 0.379361 loss_vfl: 0.951455 loss_bbox: 0.348717 loss_dfl: 0.205562 loss: 1.499071 eta: 3 days, 0:47:58 batch_cost: 2.7869 data_cost: 0.0017 ips: 28.7058 images/s [10/13 23:38:14] ppdet.engine INFO: Epoch: [43] [300/366] learning_rate: 0.379310 loss_vfl: 0.954931 loss_bbox: 0.359990 loss_dfl: 0.214704 loss: 1.539261 eta: 3 days, 0:46:57 batch_cost: 2.7478 data_cost: 0.0016 ips: 29.1140 images/s [10/13 23:39:12] ppdet.engine INFO: Epoch: [43] [320/366] learning_rate: 0.379259 loss_vfl: 0.941190 loss_bbox: 0.345515 loss_dfl: 0.205393 loss: 1.507658 eta: 3 days, 0:45:59 batch_cost: 2.7752 data_cost: 0.0016 ips: 28.8264 images/s [10/13 23:40:11] ppdet.engine INFO: Epoch: [43] [340/366] learning_rate: 0.379208 loss_vfl: 0.947784 loss_bbox: 0.365740 loss_dfl: 0.212131 loss: 1.530909 eta: 3 days, 0:45:01 batch_cost: 2.7794 data_cost: 0.0016 ips: 28.7835 images/s [10/13 23:41:03] ppdet.engine INFO: Epoch: [43] [360/366] learning_rate: 0.379158 loss_vfl: 0.967089 loss_bbox: 0.343068 loss_dfl: 0.204737 loss: 1.519742 eta: 3 days, 0:43:27 batch_cost: 2.4690 data_cost: 0.0016 ips: 32.4017 images/s [10/13 23:41:41] ppdet.engine INFO: Epoch: [44] [ 0/366] learning_rate: 0.379142 loss_vfl: 0.951281 loss_bbox: 0.343068 loss_dfl: 0.204815 loss: 1.504983 eta: 3 days, 0:44:50 batch_cost: 3.3374 data_cost: 0.6258 ips: 23.9706 images/s [10/13 23:42:40] ppdet.engine INFO: Epoch: [44] [ 20/366] learning_rate: 0.379091 loss_vfl: 0.939862 loss_bbox: 0.342694 loss_dfl: 0.207514 loss: 1.502871 eta: 3 days, 0:43:52 batch_cost: 2.7797 data_cost: 0.0018 ips: 28.7797 images/s [10/13 23:43:40] ppdet.engine INFO: Epoch: [44] [ 40/366] learning_rate: 0.379040 loss_vfl: 0.945123 loss_bbox: 0.342062 loss_dfl: 0.208632 loss: 1.499085 eta: 3 days, 0:43:02 batch_cost: 2.8464 data_cost: 0.0016 ips: 28.1059 images/s [10/13 23:44:39] ppdet.engine INFO: Epoch: [44] [ 60/366] learning_rate: 0.378989 loss_vfl: 0.939355 loss_bbox: 0.341870 loss_dfl: 0.204048 loss: 1.500441 eta: 3 days, 0:42:06 batch_cost: 2.7933 data_cost: 0.0016 ips: 28.6404 images/s [10/13 23:45:37] ppdet.engine INFO: Epoch: [44] [ 80/366] learning_rate: 0.378938 loss_vfl: 0.959352 loss_bbox: 0.341707 loss_dfl: 0.207285 loss: 1.531434 eta: 3 days, 0:41:02 batch_cost: 2.7211 data_cost: 0.0017 ips: 29.4000 images/s [10/13 23:46:34] ppdet.engine INFO: Epoch: [44] [100/366] learning_rate: 0.378887 loss_vfl: 0.950554 loss_bbox: 0.319537 loss_dfl: 0.195953 loss: 1.481634 eta: 3 days, 0:39:56 batch_cost: 2.7092 data_cost: 0.0016 ips: 29.5292 images/s [10/13 23:47:32] ppdet.engine INFO: Epoch: [44] [120/366] learning_rate: 0.378836 loss_vfl: 0.952103 loss_bbox: 0.341920 loss_dfl: 0.206843 loss: 1.488068 eta: 3 days, 0:38:52 batch_cost: 2.7288 data_cost: 0.0016 ips: 29.3170 images/s [10/13 23:48:29] ppdet.engine INFO: Epoch: [44] [140/366] learning_rate: 0.378785 loss_vfl: 0.975261 loss_bbox: 0.348593 loss_dfl: 0.201920 loss: 1.516623 eta: 3 days, 0:37:49 batch_cost: 2.7315 data_cost: 0.0017 ips: 29.2879 images/s [10/13 23:49:28] ppdet.engine INFO: Epoch: [44] [160/366] learning_rate: 0.378733 loss_vfl: 0.965970 loss_bbox: 0.332687 loss_dfl: 0.195414 loss: 1.495624 eta: 3 days, 0:36:49 batch_cost: 2.7602 data_cost: 0.0016 ips: 28.9837 images/s [10/13 23:50:26] ppdet.engine INFO: Epoch: [44] [180/366] learning_rate: 0.378682 loss_vfl: 0.969719 loss_bbox: 0.336882 loss_dfl: 0.199367 loss: 1.497480 eta: 3 days, 0:35:52 batch_cost: 2.7790 data_cost: 0.0016 ips: 28.7874 images/s [10/13 23:51:23] ppdet.engine INFO: Epoch: [44] [200/366] learning_rate: 0.378631 loss_vfl: 0.952516 loss_bbox: 0.346997 loss_dfl: 0.208761 loss: 1.501127 eta: 3 days, 0:34:44 batch_cost: 2.6906 data_cost: 0.0016 ips: 29.7328 images/s [10/13 23:52:23] ppdet.engine INFO: Epoch: [44] [220/366] learning_rate: 0.378579 loss_vfl: 0.956504 loss_bbox: 0.342010 loss_dfl: 0.207836 loss: 1.502844 eta: 3 days, 0:33:54 batch_cost: 2.8468 data_cost: 0.0016 ips: 28.1022 images/s [10/13 23:53:22] ppdet.engine INFO: Epoch: [44] [240/366] learning_rate: 0.378527 loss_vfl: 0.958540 loss_bbox: 0.346613 loss_dfl: 0.209460 loss: 1.525110 eta: 3 days, 0:32:58 batch_cost: 2.7925 data_cost: 0.0016 ips: 28.6481 images/s [10/13 23:54:20] ppdet.engine INFO: Epoch: [44] [260/366] learning_rate: 0.378476 loss_vfl: 0.941238 loss_bbox: 0.340494 loss_dfl: 0.204515 loss: 1.505934 eta: 3 days, 0:31:58 batch_cost: 2.7605 data_cost: 0.0016 ips: 28.9803 images/s [10/13 23:55:17] ppdet.engine INFO: Epoch: [44] [280/366] learning_rate: 0.378424 loss_vfl: 0.945729 loss_bbox: 0.342402 loss_dfl: 0.201893 loss: 1.522694 eta: 3 days, 0:30:51 batch_cost: 2.7020 data_cost: 0.0022 ips: 29.6074 images/s [10/13 23:56:15] ppdet.engine INFO: Epoch: [44] [300/366] learning_rate: 0.378372 loss_vfl: 0.959890 loss_bbox: 0.334897 loss_dfl: 0.201361 loss: 1.497348 eta: 3 days, 0:29:51 batch_cost: 2.7580 data_cost: 0.0016 ips: 29.0061 images/s [10/13 23:57:14] ppdet.engine INFO: Epoch: [44] [320/366] learning_rate: 0.378321 loss_vfl: 0.953776 loss_bbox: 0.334506 loss_dfl: 0.196963 loss: 1.499902 eta: 3 days, 0:28:55 batch_cost: 2.7920 data_cost: 0.0016 ips: 28.6533 images/s [10/13 23:58:10] ppdet.engine INFO: Epoch: [44] [340/366] learning_rate: 0.378269 loss_vfl: 0.950400 loss_bbox: 0.350188 loss_dfl: 0.205122 loss: 1.508684 eta: 3 days, 0:27:47 batch_cost: 2.6884 data_cost: 0.0016 ips: 29.7574 images/s [10/13 23:59:05] ppdet.engine INFO: Epoch: [44] [360/366] learning_rate: 0.378217 loss_vfl: 0.963818 loss_bbox: 0.329271 loss_dfl: 0.197754 loss: 1.491150 eta: 3 days, 0:26:22 batch_cost: 2.5309 data_cost: 0.0016 ips: 31.6089 images/s [10/13 23:59:42] ppdet.engine INFO: Epoch: [45] [ 0/366] learning_rate: 0.378201 loss_vfl: 0.959104 loss_bbox: 0.342111 loss_dfl: 0.197849 loss: 1.498827 eta: 3 days, 0:27:33 batch_cost: 3.3098 data_cost: 0.3199 ips: 24.1706 images/s [10/14 00:00:41] ppdet.engine INFO: Epoch: [45] [ 20/366] learning_rate: 0.378149 loss_vfl: 0.948597 loss_bbox: 0.345265 loss_dfl: 0.204978 loss: 1.504000 eta: 3 days, 0:26:39 batch_cost: 2.8115 data_cost: 0.0018 ips: 28.4549 images/s [10/14 00:01:40] ppdet.engine INFO: Epoch: [45] [ 40/366] learning_rate: 0.378097 loss_vfl: 0.937932 loss_bbox: 0.340439 loss_dfl: 0.202702 loss: 1.475505 eta: 3 days, 0:25:45 batch_cost: 2.8061 data_cost: 0.0017 ips: 28.5089 images/s [10/14 00:02:39] ppdet.engine INFO: Epoch: [45] [ 60/366] learning_rate: 0.378045 loss_vfl: 0.942450 loss_bbox: 0.340182 loss_dfl: 0.204478 loss: 1.475879 eta: 3 days, 0:24:47 batch_cost: 2.7815 data_cost: 0.0025 ips: 28.7618 images/s [10/14 00:03:37] ppdet.engine INFO: Epoch: [45] [ 80/366] learning_rate: 0.377993 loss_vfl: 0.955766 loss_bbox: 0.328668 loss_dfl: 0.201396 loss: 1.490594 eta: 3 days, 0:23:47 batch_cost: 2.7572 data_cost: 0.0017 ips: 29.0147 images/s [10/14 00:04:36] ppdet.engine INFO: Epoch: [45] [100/366] learning_rate: 0.377941 loss_vfl: 0.957935 loss_bbox: 0.338478 loss_dfl: 0.204378 loss: 1.490574 eta: 3 days, 0:22:55 batch_cost: 2.8317 data_cost: 0.0016 ips: 28.2515 images/s [10/14 00:05:36] ppdet.engine INFO: Epoch: [45] [120/366] learning_rate: 0.377889 loss_vfl: 0.942677 loss_bbox: 0.352975 loss_dfl: 0.211830 loss: 1.524532 eta: 3 days, 0:22:00 batch_cost: 2.8014 data_cost: 0.0016 ips: 28.5573 images/s [10/14 00:06:35] ppdet.engine INFO: Epoch: [45] [140/366] learning_rate: 0.377836 loss_vfl: 0.958947 loss_bbox: 0.344529 loss_dfl: 0.205558 loss: 1.513364 eta: 3 days, 0:21:09 batch_cost: 2.8364 data_cost: 0.0016 ips: 28.2045 images/s [10/14 00:07:34] ppdet.engine INFO: Epoch: [45] [160/366] learning_rate: 0.377784 loss_vfl: 0.959364 loss_bbox: 0.344526 loss_dfl: 0.209235 loss: 1.506047 eta: 3 days, 0:20:11 batch_cost: 2.7742 data_cost: 0.0016 ips: 28.8367 images/s [10/14 00:08:33] ppdet.engine INFO: Epoch: [45] [180/366] learning_rate: 0.377731 loss_vfl: 0.945011 loss_bbox: 0.338644 loss_dfl: 0.207326 loss: 1.514036 eta: 3 days, 0:19:16 batch_cost: 2.8026 data_cost: 0.0017 ips: 28.5447 images/s [10/14 00:09:32] ppdet.engine INFO: Epoch: [45] [200/366] learning_rate: 0.377679 loss_vfl: 0.956411 loss_bbox: 0.346681 loss_dfl: 0.207940 loss: 1.529067 eta: 3 days, 0:18:22 batch_cost: 2.8141 data_cost: 0.0017 ips: 28.4281 images/s [10/14 00:10:31] ppdet.engine INFO: Epoch: [45] [220/366] learning_rate: 0.377626 loss_vfl: 0.946068 loss_bbox: 0.332691 loss_dfl: 0.196689 loss: 1.485736 eta: 3 days, 0:17:22 batch_cost: 2.7580 data_cost: 0.0016 ips: 29.0064 images/s [10/14 00:11:31] ppdet.engine INFO: Epoch: [45] [240/366] learning_rate: 0.377574 loss_vfl: 0.942960 loss_bbox: 0.347612 loss_dfl: 0.201441 loss: 1.491997 eta: 3 days, 0:16:33 batch_cost: 2.8585 data_cost: 0.0024 ips: 27.9865 images/s [10/14 00:12:29] ppdet.engine INFO: Epoch: [45] [260/366] learning_rate: 0.377521 loss_vfl: 0.951968 loss_bbox: 0.345186 loss_dfl: 0.205001 loss: 1.502320 eta: 3 days, 0:15:34 batch_cost: 2.7631 data_cost: 0.0016 ips: 28.9535 images/s [10/14 00:13:30] ppdet.engine INFO: Epoch: [45] [280/366] learning_rate: 0.377468 loss_vfl: 0.941426 loss_bbox: 0.331206 loss_dfl: 0.195179 loss: 1.472997 eta: 3 days, 0:14:45 batch_cost: 2.8596 data_cost: 0.0017 ips: 27.9760 images/s [10/14 00:14:29] ppdet.engine INFO: Epoch: [45] [300/366] learning_rate: 0.377415 loss_vfl: 0.953274 loss_bbox: 0.342380 loss_dfl: 0.206155 loss: 1.490174 eta: 3 days, 0:13:49 batch_cost: 2.7990 data_cost: 0.0016 ips: 28.5818 images/s [10/14 00:15:27] ppdet.engine INFO: Epoch: [45] [320/366] learning_rate: 0.377363 loss_vfl: 0.946552 loss_bbox: 0.341737 loss_dfl: 0.209514 loss: 1.485271 eta: 3 days, 0:12:49 batch_cost: 2.7539 data_cost: 0.0016 ips: 29.0492 images/s [10/14 00:16:25] ppdet.engine INFO: Epoch: [45] [340/366] learning_rate: 0.377310 loss_vfl: 0.949421 loss_bbox: 0.348821 loss_dfl: 0.208141 loss: 1.507678 eta: 3 days, 0:11:49 batch_cost: 2.7626 data_cost: 0.0016 ips: 28.9587 images/s [10/14 00:17:19] ppdet.engine INFO: Epoch: [45] [360/366] learning_rate: 0.377257 loss_vfl: 0.962323 loss_bbox: 0.345825 loss_dfl: 0.200547 loss: 1.503410 eta: 3 days, 0:10:27 batch_cost: 2.5564 data_cost: 0.0016 ips: 31.2935 images/s [10/14 00:17:58] ppdet.engine INFO: Epoch: [46] [ 0/366] learning_rate: 0.377241 loss_vfl: 0.954119 loss_bbox: 0.345825 loss_dfl: 0.200547 loss: 1.512888 eta: 3 days, 0:11:45 batch_cost: 3.4182 data_cost: 0.6505 ips: 23.4042 images/s [10/14 00:18:58] ppdet.engine INFO: Epoch: [46] [ 20/366] learning_rate: 0.377188 loss_vfl: 0.943574 loss_bbox: 0.346461 loss_dfl: 0.204203 loss: 1.495171 eta: 3 days, 0:10:51 batch_cost: 2.8130 data_cost: 0.0025 ips: 28.4392 images/s [10/14 00:19:57] ppdet.engine INFO: Epoch: [46] [ 40/366] learning_rate: 0.377135 loss_vfl: 0.945042 loss_bbox: 0.331755 loss_dfl: 0.203126 loss: 1.476339 eta: 3 days, 0:09:54 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7082 images/s [10/14 00:20:57] ppdet.engine INFO: Epoch: [46] [ 60/366] learning_rate: 0.377081 loss_vfl: 0.960921 loss_bbox: 0.357516 loss_dfl: 0.209308 loss: 1.528581 eta: 3 days, 0:09:07 batch_cost: 2.8831 data_cost: 0.0017 ips: 27.7479 images/s [10/14 00:21:58] ppdet.engine INFO: Epoch: [46] [ 80/366] learning_rate: 0.377028 loss_vfl: 0.960592 loss_bbox: 0.347413 loss_dfl: 0.207637 loss: 1.495712 eta: 3 days, 0:08:20 batch_cost: 2.8688 data_cost: 0.0017 ips: 27.8860 images/s [10/14 00:22:55] ppdet.engine INFO: Epoch: [46] [100/366] learning_rate: 0.376975 loss_vfl: 0.953372 loss_bbox: 0.353773 loss_dfl: 0.204423 loss: 1.516437 eta: 3 days, 0:07:18 batch_cost: 2.7427 data_cost: 0.0016 ips: 29.1681 images/s [10/14 00:23:54] ppdet.engine INFO: Epoch: [46] [120/366] learning_rate: 0.376922 loss_vfl: 0.953277 loss_bbox: 0.354198 loss_dfl: 0.207497 loss: 1.516040 eta: 3 days, 0:06:21 batch_cost: 2.7861 data_cost: 0.0016 ips: 28.7140 images/s [10/14 00:24:53] ppdet.engine INFO: Epoch: [46] [140/366] learning_rate: 0.376868 loss_vfl: 0.963427 loss_bbox: 0.340155 loss_dfl: 0.195477 loss: 1.500848 eta: 3 days, 0:05:27 batch_cost: 2.8191 data_cost: 0.0016 ips: 28.3780 images/s [10/14 00:25:52] ppdet.engine INFO: Epoch: [46] [160/366] learning_rate: 0.376815 loss_vfl: 0.946714 loss_bbox: 0.330762 loss_dfl: 0.200269 loss: 1.487460 eta: 3 days, 0:04:30 batch_cost: 2.7845 data_cost: 0.0016 ips: 28.7304 images/s [10/14 00:26:52] ppdet.engine INFO: Epoch: [46] [180/366] learning_rate: 0.376761 loss_vfl: 0.967328 loss_bbox: 0.332202 loss_dfl: 0.201249 loss: 1.483722 eta: 3 days, 0:03:44 batch_cost: 2.8811 data_cost: 0.0016 ips: 27.7675 images/s [10/14 00:27:52] ppdet.engine INFO: Epoch: [46] [200/366] learning_rate: 0.376708 loss_vfl: 0.962979 loss_bbox: 0.342274 loss_dfl: 0.203488 loss: 1.495411 eta: 3 days, 0:02:51 batch_cost: 2.8227 data_cost: 0.0016 ips: 28.3413 images/s [10/14 00:28:50] ppdet.engine INFO: Epoch: [46] [220/366] learning_rate: 0.376654 loss_vfl: 0.959707 loss_bbox: 0.352706 loss_dfl: 0.208704 loss: 1.538051 eta: 3 days, 0:01:51 batch_cost: 2.7578 data_cost: 0.0022 ips: 29.0087 images/s [10/14 00:29:48] ppdet.engine INFO: Epoch: [46] [240/366] learning_rate: 0.376600 loss_vfl: 0.948693 loss_bbox: 0.355243 loss_dfl: 0.211174 loss: 1.513834 eta: 3 days, 0:00:52 batch_cost: 2.7710 data_cost: 0.0016 ips: 28.8705 images/s [10/14 00:30:47] ppdet.engine INFO: Epoch: [46] [260/366] learning_rate: 0.376547 loss_vfl: 0.956616 loss_bbox: 0.351051 loss_dfl: 0.199968 loss: 1.506498 eta: 2 days, 23:59:52 batch_cost: 2.7616 data_cost: 0.0017 ips: 28.9688 images/s [10/14 00:31:47] ppdet.engine INFO: Epoch: [46] [280/366] learning_rate: 0.376493 loss_vfl: 0.950443 loss_bbox: 0.333994 loss_dfl: 0.198446 loss: 1.501168 eta: 2 days, 23:59:03 batch_cost: 2.8551 data_cost: 0.0018 ips: 28.0196 images/s [10/14 00:32:46] ppdet.engine INFO: Epoch: [46] [300/366] learning_rate: 0.376439 loss_vfl: 0.959493 loss_bbox: 0.340479 loss_dfl: 0.204188 loss: 1.509776 eta: 2 days, 23:58:09 batch_cost: 2.8136 data_cost: 0.0016 ips: 28.4334 images/s [10/14 00:33:44] ppdet.engine INFO: Epoch: [46] [320/366] learning_rate: 0.376385 loss_vfl: 0.958442 loss_bbox: 0.341585 loss_dfl: 0.206310 loss: 1.506843 eta: 2 days, 23:57:11 batch_cost: 2.7788 data_cost: 0.0016 ips: 28.7894 images/s [10/14 00:34:43] ppdet.engine INFO: Epoch: [46] [340/366] learning_rate: 0.376331 loss_vfl: 0.966262 loss_bbox: 0.322792 loss_dfl: 0.195704 loss: 1.480570 eta: 2 days, 23:56:12 batch_cost: 2.7697 data_cost: 0.0017 ips: 28.8843 images/s [10/14 00:35:36] ppdet.engine INFO: Epoch: [46] [360/366] learning_rate: 0.376277 loss_vfl: 0.951511 loss_bbox: 0.336151 loss_dfl: 0.198205 loss: 1.497357 eta: 2 days, 23:54:47 batch_cost: 2.5262 data_cost: 0.0016 ips: 31.6680 images/s [10/14 00:36:13] ppdet.engine INFO: Epoch: [47] [ 0/366] learning_rate: 0.376261 loss_vfl: 0.969494 loss_bbox: 0.347019 loss_dfl: 0.201869 loss: 1.517508 eta: 2 days, 23:55:53 batch_cost: 3.3009 data_cost: 0.5717 ips: 24.2361 images/s [10/14 00:37:12] ppdet.engine INFO: Epoch: [47] [ 20/366] learning_rate: 0.376207 loss_vfl: 0.952605 loss_bbox: 0.351997 loss_dfl: 0.205452 loss: 1.510064 eta: 2 days, 23:55:02 batch_cost: 2.8421 data_cost: 0.0018 ips: 28.1481 images/s [10/14 00:38:12] ppdet.engine INFO: Epoch: [47] [ 40/366] learning_rate: 0.376152 loss_vfl: 0.943067 loss_bbox: 0.347432 loss_dfl: 0.202457 loss: 1.507801 eta: 2 days, 23:54:07 batch_cost: 2.8085 data_cost: 0.0017 ips: 28.4854 images/s [10/14 00:39:10] ppdet.engine INFO: Epoch: [47] [ 60/366] learning_rate: 0.376098 loss_vfl: 0.958735 loss_bbox: 0.329300 loss_dfl: 0.196998 loss: 1.458053 eta: 2 days, 23:53:07 batch_cost: 2.7544 data_cost: 0.0016 ips: 29.0447 images/s [10/14 00:40:08] ppdet.engine INFO: Epoch: [47] [ 80/366] learning_rate: 0.376044 loss_vfl: 0.961763 loss_bbox: 0.339751 loss_dfl: 0.203927 loss: 1.494319 eta: 2 days, 23:52:09 batch_cost: 2.7818 data_cost: 0.0016 ips: 28.7583 images/s [10/14 00:41:09] ppdet.engine INFO: Epoch: [47] [100/366] learning_rate: 0.375990 loss_vfl: 0.941841 loss_bbox: 0.321104 loss_dfl: 0.199881 loss: 1.479850 eta: 2 days, 23:51:25 batch_cost: 2.9061 data_cost: 0.0016 ips: 27.5286 images/s [10/14 00:42:09] ppdet.engine INFO: Epoch: [47] [120/366] learning_rate: 0.375935 loss_vfl: 0.958480 loss_bbox: 0.343134 loss_dfl: 0.209680 loss: 1.494017 eta: 2 days, 23:50:35 batch_cost: 2.8491 data_cost: 0.0017 ips: 28.0786 images/s [10/14 00:43:10] ppdet.engine INFO: Epoch: [47] [140/366] learning_rate: 0.375881 loss_vfl: 0.959063 loss_bbox: 0.331222 loss_dfl: 0.198378 loss: 1.488399 eta: 2 days, 23:49:47 batch_cost: 2.8693 data_cost: 0.0016 ips: 27.8809 images/s [10/14 00:44:09] ppdet.engine INFO: Epoch: [47] [160/366] learning_rate: 0.375826 loss_vfl: 0.962609 loss_bbox: 0.321111 loss_dfl: 0.200006 loss: 1.483519 eta: 2 days, 23:48:53 batch_cost: 2.8174 data_cost: 0.0017 ips: 28.3945 images/s [10/14 00:45:09] ppdet.engine INFO: Epoch: [47] [180/366] learning_rate: 0.375772 loss_vfl: 0.966307 loss_bbox: 0.334407 loss_dfl: 0.200837 loss: 1.501456 eta: 2 days, 23:47:59 batch_cost: 2.8194 data_cost: 0.0015 ips: 28.3749 images/s [10/14 00:46:09] ppdet.engine INFO: Epoch: [47] [200/366] learning_rate: 0.375717 loss_vfl: 0.941732 loss_bbox: 0.345550 loss_dfl: 0.202850 loss: 1.496556 eta: 2 days, 23:47:08 batch_cost: 2.8420 data_cost: 0.0015 ips: 28.1491 images/s [10/14 00:47:09] ppdet.engine INFO: Epoch: [47] [220/366] learning_rate: 0.375662 loss_vfl: 0.955636 loss_bbox: 0.332803 loss_dfl: 0.200079 loss: 1.484077 eta: 2 days, 23:46:17 batch_cost: 2.8400 data_cost: 0.0017 ips: 28.1691 images/s [10/14 00:48:08] ppdet.engine INFO: Epoch: [47] [240/366] learning_rate: 0.375608 loss_vfl: 0.950089 loss_bbox: 0.334281 loss_dfl: 0.197583 loss: 1.498093 eta: 2 days, 23:45:21 batch_cost: 2.7941 data_cost: 0.0017 ips: 28.6314 images/s [10/14 00:49:08] ppdet.engine INFO: Epoch: [47] [260/366] learning_rate: 0.375553 loss_vfl: 0.960190 loss_bbox: 0.340560 loss_dfl: 0.200900 loss: 1.489836 eta: 2 days, 23:44:30 batch_cost: 2.8459 data_cost: 0.0016 ips: 28.1110 images/s [10/14 00:50:08] ppdet.engine INFO: Epoch: [47] [280/366] learning_rate: 0.375498 loss_vfl: 0.948596 loss_bbox: 0.338646 loss_dfl: 0.206324 loss: 1.500658 eta: 2 days, 23:43:42 batch_cost: 2.8714 data_cost: 0.0015 ips: 27.8613 images/s [10/14 00:51:06] ppdet.engine INFO: Epoch: [47] [300/366] learning_rate: 0.375443 loss_vfl: 0.955078 loss_bbox: 0.337250 loss_dfl: 0.200985 loss: 1.498188 eta: 2 days, 23:42:42 batch_cost: 2.7597 data_cost: 0.0016 ips: 28.9890 images/s [10/14 00:52:07] ppdet.engine INFO: Epoch: [47] [320/366] learning_rate: 0.375388 loss_vfl: 0.964438 loss_bbox: 0.323743 loss_dfl: 0.195796 loss: 1.476448 eta: 2 days, 23:41:55 batch_cost: 2.8795 data_cost: 0.0016 ips: 27.7829 images/s [10/14 00:53:05] ppdet.engine INFO: Epoch: [47] [340/366] learning_rate: 0.375333 loss_vfl: 0.951436 loss_bbox: 0.333221 loss_dfl: 0.200997 loss: 1.494223 eta: 2 days, 23:40:59 batch_cost: 2.8047 data_cost: 0.0015 ips: 28.5232 images/s [10/14 00:53:58] ppdet.engine INFO: Epoch: [47] [360/366] learning_rate: 0.375278 loss_vfl: 0.955764 loss_bbox: 0.356739 loss_dfl: 0.216007 loss: 1.539015 eta: 2 days, 23:39:33 batch_cost: 2.5108 data_cost: 0.0015 ips: 31.8624 images/s [10/14 00:54:37] ppdet.engine INFO: Epoch: [48] [ 0/366] learning_rate: 0.375261 loss_vfl: 0.955764 loss_bbox: 0.344009 loss_dfl: 0.208211 loss: 1.523507 eta: 2 days, 23:40:50 batch_cost: 3.3863 data_cost: 0.5823 ips: 23.6249 images/s [10/14 00:55:35] ppdet.engine INFO: Epoch: [48] [ 20/366] learning_rate: 0.375206 loss_vfl: 0.959355 loss_bbox: 0.335240 loss_dfl: 0.206845 loss: 1.501559 eta: 2 days, 23:39:48 batch_cost: 2.7456 data_cost: 0.0018 ips: 29.1377 images/s [10/14 00:56:33] ppdet.engine INFO: Epoch: [48] [ 40/366] learning_rate: 0.375151 loss_vfl: 0.950116 loss_bbox: 0.349020 loss_dfl: 0.205613 loss: 1.525786 eta: 2 days, 23:38:46 batch_cost: 2.7400 data_cost: 0.0016 ips: 29.1971 images/s [10/14 00:57:32] ppdet.engine INFO: Epoch: [48] [ 60/366] learning_rate: 0.375096 loss_vfl: 0.947641 loss_bbox: 0.349803 loss_dfl: 0.207734 loss: 1.499985 eta: 2 days, 23:37:48 batch_cost: 2.7820 data_cost: 0.0023 ips: 28.7558 images/s [10/14 00:58:32] ppdet.engine INFO: Epoch: [48] [ 80/366] learning_rate: 0.375040 loss_vfl: 0.952877 loss_bbox: 0.341919 loss_dfl: 0.204693 loss: 1.479277 eta: 2 days, 23:36:58 batch_cost: 2.8483 data_cost: 0.0017 ips: 28.0872 images/s [10/14 00:59:31] ppdet.engine INFO: Epoch: [48] [100/366] learning_rate: 0.374985 loss_vfl: 0.961899 loss_bbox: 0.344069 loss_dfl: 0.205190 loss: 1.504817 eta: 2 days, 23:36:02 batch_cost: 2.7997 data_cost: 0.0016 ips: 28.5741 images/s [10/14 01:00:29] ppdet.engine INFO: Epoch: [48] [120/366] learning_rate: 0.374929 loss_vfl: 0.946084 loss_bbox: 0.352910 loss_dfl: 0.201513 loss: 1.485603 eta: 2 days, 23:35:06 batch_cost: 2.7979 data_cost: 0.0017 ips: 28.5932 images/s [10/14 01:01:28] ppdet.engine INFO: Epoch: [48] [140/366] learning_rate: 0.374874 loss_vfl: 0.949182 loss_bbox: 0.350656 loss_dfl: 0.207728 loss: 1.503880 eta: 2 days, 23:34:10 batch_cost: 2.7951 data_cost: 0.0016 ips: 28.6218 images/s [10/14 01:02:27] ppdet.engine INFO: Epoch: [48] [160/366] learning_rate: 0.374818 loss_vfl: 0.949226 loss_bbox: 0.351338 loss_dfl: 0.200971 loss: 1.484577 eta: 2 days, 23:33:13 batch_cost: 2.7872 data_cost: 0.0017 ips: 28.7022 images/s [10/14 01:03:26] ppdet.engine INFO: Epoch: [48] [180/366] learning_rate: 0.374763 loss_vfl: 0.940538 loss_bbox: 0.319074 loss_dfl: 0.203263 loss: 1.469986 eta: 2 days, 23:32:18 batch_cost: 2.8042 data_cost: 0.0017 ips: 28.5291 images/s [10/14 01:04:23] ppdet.engine INFO: Epoch: [48] [200/366] learning_rate: 0.374707 loss_vfl: 0.954176 loss_bbox: 0.334553 loss_dfl: 0.201041 loss: 1.500960 eta: 2 days, 23:31:13 batch_cost: 2.7150 data_cost: 0.0016 ips: 29.4655 images/s [10/14 01:05:22] ppdet.engine INFO: Epoch: [48] [220/366] learning_rate: 0.374651 loss_vfl: 0.955112 loss_bbox: 0.336411 loss_dfl: 0.205530 loss: 1.485310 eta: 2 days, 23:30:15 batch_cost: 2.7804 data_cost: 0.0016 ips: 28.7732 images/s [10/14 01:06:18] ppdet.engine INFO: Epoch: [48] [240/366] learning_rate: 0.374596 loss_vfl: 0.944693 loss_bbox: 0.321059 loss_dfl: 0.192350 loss: 1.457301 eta: 2 days, 23:29:08 batch_cost: 2.6840 data_cost: 0.0016 ips: 29.8064 images/s [10/14 01:07:15] ppdet.engine INFO: Epoch: [48] [260/366] learning_rate: 0.374540 loss_vfl: 0.934800 loss_bbox: 0.332086 loss_dfl: 0.199415 loss: 1.466193 eta: 2 days, 23:27:59 batch_cost: 2.6744 data_cost: 0.0016 ips: 29.9129 images/s [10/14 01:08:13] ppdet.engine INFO: Epoch: [48] [280/366] learning_rate: 0.374484 loss_vfl: 0.973428 loss_bbox: 0.353458 loss_dfl: 0.209948 loss: 1.518517 eta: 2 days, 23:26:59 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0042 images/s [10/14 01:09:11] ppdet.engine INFO: Epoch: [48] [300/366] learning_rate: 0.374428 loss_vfl: 0.956004 loss_bbox: 0.348296 loss_dfl: 0.203522 loss: 1.510633 eta: 2 days, 23:26:01 batch_cost: 2.7795 data_cost: 0.0016 ips: 28.7822 images/s [10/14 01:10:09] ppdet.engine INFO: Epoch: [48] [320/366] learning_rate: 0.374372 loss_vfl: 0.938255 loss_bbox: 0.347816 loss_dfl: 0.204369 loss: 1.474427 eta: 2 days, 23:25:00 batch_cost: 2.7491 data_cost: 0.0016 ips: 29.1005 images/s [10/14 01:11:08] ppdet.engine INFO: Epoch: [48] [340/366] learning_rate: 0.374316 loss_vfl: 0.955203 loss_bbox: 0.343539 loss_dfl: 0.201842 loss: 1.484016 eta: 2 days, 23:24:06 batch_cost: 2.8152 data_cost: 0.0024 ips: 28.4177 images/s [10/14 01:12:00] ppdet.engine INFO: Epoch: [48] [360/366] learning_rate: 0.374260 loss_vfl: 0.959179 loss_bbox: 0.326079 loss_dfl: 0.200626 loss: 1.493472 eta: 2 days, 23:22:34 batch_cost: 2.4400 data_cost: 0.0016 ips: 32.7871 images/s [10/14 01:12:37] ppdet.engine INFO: Epoch: [49] [ 0/366] learning_rate: 0.374243 loss_vfl: 0.958689 loss_bbox: 0.327571 loss_dfl: 0.200172 loss: 1.482534 eta: 2 days, 23:23:37 batch_cost: 3.2688 data_cost: 0.3565 ips: 24.4740 images/s [10/14 01:13:35] ppdet.engine INFO: Epoch: [49] [ 20/366] learning_rate: 0.374187 loss_vfl: 0.946631 loss_bbox: 0.348096 loss_dfl: 0.210233 loss: 1.496401 eta: 2 days, 23:22:36 batch_cost: 2.7533 data_cost: 0.0018 ips: 29.0558 images/s [10/14 01:14:32] ppdet.engine INFO: Epoch: [49] [ 40/366] learning_rate: 0.374130 loss_vfl: 0.953047 loss_bbox: 0.345414 loss_dfl: 0.210884 loss: 1.516733 eta: 2 days, 23:21:33 batch_cost: 2.7231 data_cost: 0.0017 ips: 29.3782 images/s [10/14 01:15:31] ppdet.engine INFO: Epoch: [49] [ 60/366] learning_rate: 0.374074 loss_vfl: 0.962093 loss_bbox: 0.343209 loss_dfl: 0.205502 loss: 1.514289 eta: 2 days, 23:20:37 batch_cost: 2.7987 data_cost: 0.0016 ips: 28.5851 images/s [10/14 01:16:30] ppdet.engine INFO: Epoch: [49] [ 80/366] learning_rate: 0.374018 loss_vfl: 0.981943 loss_bbox: 0.320670 loss_dfl: 0.199096 loss: 1.513643 eta: 2 days, 23:19:40 batch_cost: 2.7943 data_cost: 0.0016 ips: 28.6293 images/s [10/14 01:17:28] ppdet.engine INFO: Epoch: [49] [100/366] learning_rate: 0.373961 loss_vfl: 0.951044 loss_bbox: 0.327437 loss_dfl: 0.197446 loss: 1.490916 eta: 2 days, 23:18:37 batch_cost: 2.7285 data_cost: 0.0016 ips: 29.3205 images/s [10/14 01:18:26] ppdet.engine INFO: Epoch: [49] [120/366] learning_rate: 0.373905 loss_vfl: 0.965215 loss_bbox: 0.324254 loss_dfl: 0.194029 loss: 1.487672 eta: 2 days, 23:17:39 batch_cost: 2.7723 data_cost: 0.0015 ips: 28.8571 images/s [10/14 01:19:26] ppdet.engine INFO: Epoch: [49] [140/366] learning_rate: 0.373848 loss_vfl: 0.963261 loss_bbox: 0.313668 loss_dfl: 0.190727 loss: 1.468544 eta: 2 days, 23:16:51 batch_cost: 2.8765 data_cost: 0.0016 ips: 27.8112 images/s [10/14 01:20:25] ppdet.engine INFO: Epoch: [49] [160/366] learning_rate: 0.373791 loss_vfl: 0.947561 loss_bbox: 0.370728 loss_dfl: 0.216532 loss: 1.524285 eta: 2 days, 23:15:53 batch_cost: 2.7777 data_cost: 0.0015 ips: 28.8010 images/s [10/14 01:21:23] ppdet.engine INFO: Epoch: [49] [180/366] learning_rate: 0.373735 loss_vfl: 0.950727 loss_bbox: 0.331384 loss_dfl: 0.201009 loss: 1.479211 eta: 2 days, 23:14:51 batch_cost: 2.7395 data_cost: 0.0016 ips: 29.2025 images/s [10/14 01:22:21] ppdet.engine INFO: Epoch: [49] [200/366] learning_rate: 0.373678 loss_vfl: 0.950101 loss_bbox: 0.334300 loss_dfl: 0.201808 loss: 1.493734 eta: 2 days, 23:13:49 batch_cost: 2.7326 data_cost: 0.0016 ips: 29.2766 images/s [10/14 01:23:19] ppdet.engine INFO: Epoch: [49] [220/366] learning_rate: 0.373621 loss_vfl: 0.943118 loss_bbox: 0.335868 loss_dfl: 0.202736 loss: 1.484043 eta: 2 days, 23:12:49 batch_cost: 2.7620 data_cost: 0.0015 ips: 28.9647 images/s [10/14 01:24:16] ppdet.engine INFO: Epoch: [49] [240/366] learning_rate: 0.373564 loss_vfl: 0.944788 loss_bbox: 0.341936 loss_dfl: 0.205698 loss: 1.493535 eta: 2 days, 23:11:47 batch_cost: 2.7312 data_cost: 0.0016 ips: 29.2909 images/s [10/14 01:25:13] ppdet.engine INFO: Epoch: [49] [260/366] learning_rate: 0.373508 loss_vfl: 0.958791 loss_bbox: 0.344135 loss_dfl: 0.200692 loss: 1.494163 eta: 2 days, 23:10:39 batch_cost: 2.6803 data_cost: 0.0016 ips: 29.8475 images/s [10/14 01:26:11] ppdet.engine INFO: Epoch: [49] [280/366] learning_rate: 0.373451 loss_vfl: 0.954508 loss_bbox: 0.324995 loss_dfl: 0.200341 loss: 1.483982 eta: 2 days, 23:09:40 batch_cost: 2.7669 data_cost: 0.0016 ips: 28.9132 images/s [10/14 01:27:08] ppdet.engine INFO: Epoch: [49] [300/366] learning_rate: 0.373394 loss_vfl: 0.963788 loss_bbox: 0.313811 loss_dfl: 0.196645 loss: 1.486133 eta: 2 days, 23:08:36 batch_cost: 2.7212 data_cost: 0.0016 ips: 29.3991 images/s [10/14 01:28:07] ppdet.engine INFO: Epoch: [49] [320/366] learning_rate: 0.373337 loss_vfl: 0.961329 loss_bbox: 0.335793 loss_dfl: 0.198240 loss: 1.475234 eta: 2 days, 23:07:41 batch_cost: 2.8040 data_cost: 0.0016 ips: 28.5310 images/s [10/14 01:29:04] ppdet.engine INFO: Epoch: [49] [340/366] learning_rate: 0.373279 loss_vfl: 0.957738 loss_bbox: 0.352658 loss_dfl: 0.209146 loss: 1.522434 eta: 2 days, 23:06:35 batch_cost: 2.6955 data_cost: 0.0016 ips: 29.6787 images/s [10/14 01:29:56] ppdet.engine INFO: Epoch: [49] [360/366] learning_rate: 0.373222 loss_vfl: 0.937603 loss_bbox: 0.337053 loss_dfl: 0.200612 loss: 1.482613 eta: 2 days, 23:05:05 batch_cost: 2.4575 data_cost: 0.0016 ips: 32.5537 images/s [10/14 01:30:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 01:30:12] ppdet.engine INFO: Eval iter: 0 [10/14 01:30:53] ppdet.engine INFO: Eval iter: 100 [10/14 01:31:17] ppdet.engine INFO: Eval iter: 200 [10/14 01:31:41] ppdet.engine INFO: Eval iter: 300 [10/14 01:32:05] ppdet.engine INFO: Eval iter: 400 [10/14 01:32:30] ppdet.engine INFO: Eval iter: 500 [10/14 01:32:54] ppdet.engine INFO: Eval iter: 600 [10/14 01:33:15] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/14 01:33:16] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.79s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.99s). Accumulating evaluation results... DONE (t=17.55s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.266 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.404 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.087 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.274 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.254 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.402 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.430 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.467 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.677 [10/14 01:35:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.412619737711967 [10/14 01:35:19] ppdet.engine INFO: Best test bbox ap is 0.266. [10/14 01:35:20] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 01:35:22] ppdet.engine INFO: Epoch: [50] [ 0/366] learning_rate: 0.373205 loss_vfl: 0.937060 loss_bbox: 0.340983 loss_dfl: 0.200755 loss: 1.482613 eta: 2 days, 23:04:27 batch_cost: 2.2621 data_cost: 0.0016 ips: 35.3647 images/s [10/14 01:36:20] ppdet.engine INFO: Epoch: [50] [ 20/366] learning_rate: 0.373148 loss_vfl: 0.951074 loss_bbox: 0.336106 loss_dfl: 0.199772 loss: 1.490349 eta: 2 days, 23:03:30 batch_cost: 2.7877 data_cost: 0.0017 ips: 28.6978 images/s [10/14 01:37:21] ppdet.engine INFO: Epoch: [50] [ 40/366] learning_rate: 0.373091 loss_vfl: 0.954124 loss_bbox: 0.330967 loss_dfl: 0.198264 loss: 1.493189 eta: 2 days, 23:02:41 batch_cost: 2.8660 data_cost: 0.0016 ips: 27.9138 images/s [10/14 01:38:19] ppdet.engine INFO: Epoch: [50] [ 60/366] learning_rate: 0.373033 loss_vfl: 0.955770 loss_bbox: 0.334617 loss_dfl: 0.199478 loss: 1.490660 eta: 2 days, 23:01:45 batch_cost: 2.7974 data_cost: 0.0016 ips: 28.5981 images/s [10/14 01:39:16] ppdet.engine INFO: Epoch: [50] [ 80/366] learning_rate: 0.372976 loss_vfl: 0.946135 loss_bbox: 0.339325 loss_dfl: 0.199913 loss: 1.480702 eta: 2 days, 23:00:39 batch_cost: 2.6924 data_cost: 0.0016 ips: 29.7138 images/s [10/14 01:40:15] ppdet.engine INFO: Epoch: [50] [100/366] learning_rate: 0.372918 loss_vfl: 0.953045 loss_bbox: 0.337039 loss_dfl: 0.206209 loss: 1.514458 eta: 2 days, 22:59:40 batch_cost: 2.7672 data_cost: 0.0016 ips: 28.9105 images/s [10/14 01:41:14] ppdet.engine INFO: Epoch: [50] [120/366] learning_rate: 0.372861 loss_vfl: 0.954312 loss_bbox: 0.349249 loss_dfl: 0.205053 loss: 1.502673 eta: 2 days, 22:58:45 batch_cost: 2.7991 data_cost: 0.0016 ips: 28.5811 images/s [10/14 01:42:12] ppdet.engine INFO: Epoch: [50] [140/366] learning_rate: 0.372803 loss_vfl: 0.940700 loss_bbox: 0.359382 loss_dfl: 0.211936 loss: 1.507885 eta: 2 days, 22:57:45 batch_cost: 2.7614 data_cost: 0.0017 ips: 28.9706 images/s [10/14 01:43:10] ppdet.engine INFO: Epoch: [50] [160/366] learning_rate: 0.372745 loss_vfl: 0.952778 loss_bbox: 0.334760 loss_dfl: 0.198716 loss: 1.504795 eta: 2 days, 22:56:45 batch_cost: 2.7549 data_cost: 0.0020 ips: 29.0396 images/s [10/14 01:44:08] ppdet.engine INFO: Epoch: [50] [180/366] learning_rate: 0.372688 loss_vfl: 0.955628 loss_bbox: 0.342854 loss_dfl: 0.200135 loss: 1.501879 eta: 2 days, 22:55:44 batch_cost: 2.7436 data_cost: 0.0016 ips: 29.1584 images/s [10/14 01:45:05] ppdet.engine INFO: Epoch: [50] [200/366] learning_rate: 0.372630 loss_vfl: 0.954501 loss_bbox: 0.359288 loss_dfl: 0.210388 loss: 1.526010 eta: 2 days, 22:54:39 batch_cost: 2.6997 data_cost: 0.0016 ips: 29.6327 images/s [10/14 01:46:03] ppdet.engine INFO: Epoch: [50] [220/366] learning_rate: 0.372572 loss_vfl: 0.942649 loss_bbox: 0.357787 loss_dfl: 0.204934 loss: 1.488913 eta: 2 days, 22:53:39 batch_cost: 2.7599 data_cost: 0.0017 ips: 28.9863 images/s [10/14 01:47:02] ppdet.engine INFO: Epoch: [50] [240/366] learning_rate: 0.372514 loss_vfl: 0.967417 loss_bbox: 0.315956 loss_dfl: 0.201960 loss: 1.495643 eta: 2 days, 22:52:42 batch_cost: 2.7856 data_cost: 0.0016 ips: 28.7191 images/s [10/14 01:48:01] ppdet.engine INFO: Epoch: [50] [260/366] learning_rate: 0.372456 loss_vfl: 0.950289 loss_bbox: 0.344332 loss_dfl: 0.205605 loss: 1.498079 eta: 2 days, 22:51:47 batch_cost: 2.8049 data_cost: 0.0017 ips: 28.5215 images/s [10/14 01:48:59] ppdet.engine INFO: Epoch: [50] [280/366] learning_rate: 0.372398 loss_vfl: 0.963458 loss_bbox: 0.331054 loss_dfl: 0.201824 loss: 1.498526 eta: 2 days, 22:50:47 batch_cost: 2.7529 data_cost: 0.0015 ips: 29.0604 images/s [10/14 01:49:56] ppdet.engine INFO: Epoch: [50] [300/366] learning_rate: 0.372340 loss_vfl: 0.941123 loss_bbox: 0.331968 loss_dfl: 0.210174 loss: 1.497196 eta: 2 days, 22:49:39 batch_cost: 2.6754 data_cost: 0.0015 ips: 29.9018 images/s [10/14 01:50:53] ppdet.engine INFO: Epoch: [50] [320/366] learning_rate: 0.372282 loss_vfl: 0.955118 loss_bbox: 0.344146 loss_dfl: 0.203646 loss: 1.478023 eta: 2 days, 22:48:34 batch_cost: 2.6975 data_cost: 0.0017 ips: 29.6575 images/s [10/14 01:51:53] ppdet.engine INFO: Epoch: [50] [340/366] learning_rate: 0.372224 loss_vfl: 0.971709 loss_bbox: 0.347842 loss_dfl: 0.212112 loss: 1.520895 eta: 2 days, 22:47:43 batch_cost: 2.8512 data_cost: 0.0028 ips: 28.0579 images/s [10/14 01:52:47] ppdet.engine INFO: Epoch: [50] [360/366] learning_rate: 0.372166 loss_vfl: 0.938048 loss_bbox: 0.321909 loss_dfl: 0.193858 loss: 1.464283 eta: 2 days, 22:46:26 batch_cost: 2.5771 data_cost: 0.0016 ips: 31.0427 images/s [10/14 01:53:24] ppdet.engine INFO: Epoch: [51] [ 0/366] learning_rate: 0.372148 loss_vfl: 0.930760 loss_bbox: 0.338216 loss_dfl: 0.198953 loss: 1.468912 eta: 2 days, 22:47:26 batch_cost: 3.3347 data_cost: 0.4839 ips: 23.9900 images/s [10/14 01:54:25] ppdet.engine INFO: Epoch: [51] [ 20/366] learning_rate: 0.372090 loss_vfl: 0.938214 loss_bbox: 0.338527 loss_dfl: 0.209981 loss: 1.469624 eta: 2 days, 22:46:40 batch_cost: 2.9006 data_cost: 0.0017 ips: 27.5805 images/s [10/14 01:55:23] ppdet.engine INFO: Epoch: [51] [ 40/366] learning_rate: 0.372032 loss_vfl: 0.950540 loss_bbox: 0.312872 loss_dfl: 0.191848 loss: 1.466757 eta: 2 days, 22:45:40 batch_cost: 2.7534 data_cost: 0.0018 ips: 29.0555 images/s [10/14 01:56:20] ppdet.engine INFO: Epoch: [51] [ 60/366] learning_rate: 0.371973 loss_vfl: 0.959025 loss_bbox: 0.331331 loss_dfl: 0.198044 loss: 1.476471 eta: 2 days, 22:44:33 batch_cost: 2.6812 data_cost: 0.0017 ips: 29.8371 images/s [10/14 01:57:18] ppdet.engine INFO: Epoch: [51] [ 80/366] learning_rate: 0.371915 loss_vfl: 0.963558 loss_bbox: 0.323572 loss_dfl: 0.196398 loss: 1.501396 eta: 2 days, 22:43:35 batch_cost: 2.7796 data_cost: 0.0017 ips: 28.7810 images/s [10/14 01:58:16] ppdet.engine INFO: Epoch: [51] [100/366] learning_rate: 0.371856 loss_vfl: 0.959039 loss_bbox: 0.333981 loss_dfl: 0.198994 loss: 1.499892 eta: 2 days, 22:42:36 batch_cost: 2.7643 data_cost: 0.0016 ips: 28.9406 images/s [10/14 01:59:15] ppdet.engine INFO: Epoch: [51] [120/366] learning_rate: 0.371798 loss_vfl: 0.959984 loss_bbox: 0.325184 loss_dfl: 0.198356 loss: 1.492340 eta: 2 days, 22:41:40 batch_cost: 2.7903 data_cost: 0.0016 ips: 28.6707 images/s [10/14 02:00:13] ppdet.engine INFO: Epoch: [51] [140/366] learning_rate: 0.371739 loss_vfl: 0.945003 loss_bbox: 0.354925 loss_dfl: 0.207887 loss: 1.500077 eta: 2 days, 22:40:38 batch_cost: 2.7361 data_cost: 0.0016 ips: 29.2389 images/s [10/14 02:01:12] ppdet.engine INFO: Epoch: [51] [160/366] learning_rate: 0.371681 loss_vfl: 0.960457 loss_bbox: 0.336942 loss_dfl: 0.204610 loss: 1.505366 eta: 2 days, 22:39:43 batch_cost: 2.8062 data_cost: 0.0016 ips: 28.5087 images/s [10/14 02:02:12] ppdet.engine INFO: Epoch: [51] [180/366] learning_rate: 0.371622 loss_vfl: 0.949359 loss_bbox: 0.348507 loss_dfl: 0.205277 loss: 1.503746 eta: 2 days, 22:38:54 batch_cost: 2.8666 data_cost: 0.0016 ips: 27.9079 images/s [10/14 02:03:12] ppdet.engine INFO: Epoch: [51] [200/366] learning_rate: 0.371563 loss_vfl: 0.956990 loss_bbox: 0.325361 loss_dfl: 0.193405 loss: 1.480441 eta: 2 days, 22:38:00 batch_cost: 2.8160 data_cost: 0.0016 ips: 28.4096 images/s [10/14 02:04:09] ppdet.engine INFO: Epoch: [51] [220/366] learning_rate: 0.371504 loss_vfl: 0.943071 loss_bbox: 0.334650 loss_dfl: 0.203201 loss: 1.486874 eta: 2 days, 22:36:55 batch_cost: 2.7027 data_cost: 0.0016 ips: 29.6002 images/s [10/14 02:05:05] ppdet.engine INFO: Epoch: [51] [240/366] learning_rate: 0.371445 loss_vfl: 0.941044 loss_bbox: 0.337887 loss_dfl: 0.200808 loss: 1.479208 eta: 2 days, 22:35:49 batch_cost: 2.6905 data_cost: 0.0015 ips: 29.7338 images/s [10/14 02:06:05] ppdet.engine INFO: Epoch: [51] [260/366] learning_rate: 0.371386 loss_vfl: 0.939334 loss_bbox: 0.338478 loss_dfl: 0.201697 loss: 1.479689 eta: 2 days, 22:34:55 batch_cost: 2.8152 data_cost: 0.0016 ips: 28.4174 images/s [10/14 02:07:04] ppdet.engine INFO: Epoch: [51] [280/366] learning_rate: 0.371327 loss_vfl: 0.937790 loss_bbox: 0.336816 loss_dfl: 0.201243 loss: 1.484540 eta: 2 days, 22:33:59 batch_cost: 2.8031 data_cost: 0.0016 ips: 28.5395 images/s [10/14 02:08:03] ppdet.engine INFO: Epoch: [51] [300/366] learning_rate: 0.371268 loss_vfl: 0.952409 loss_bbox: 0.327843 loss_dfl: 0.200250 loss: 1.494639 eta: 2 days, 22:33:03 batch_cost: 2.7956 data_cost: 0.0015 ips: 28.6167 images/s [10/14 02:09:02] ppdet.engine INFO: Epoch: [51] [320/366] learning_rate: 0.371209 loss_vfl: 0.950392 loss_bbox: 0.346409 loss_dfl: 0.200291 loss: 1.515972 eta: 2 days, 22:32:06 batch_cost: 2.7838 data_cost: 0.0015 ips: 28.7376 images/s [10/14 02:10:00] ppdet.engine INFO: Epoch: [51] [340/366] learning_rate: 0.371150 loss_vfl: 0.954770 loss_bbox: 0.322300 loss_dfl: 0.199098 loss: 1.481055 eta: 2 days, 22:31:07 batch_cost: 2.7613 data_cost: 0.0016 ips: 28.9714 images/s [10/14 02:10:52] ppdet.engine INFO: Epoch: [51] [360/366] learning_rate: 0.371091 loss_vfl: 0.952156 loss_bbox: 0.340169 loss_dfl: 0.204453 loss: 1.503020 eta: 2 days, 22:29:40 batch_cost: 2.4656 data_cost: 0.0015 ips: 32.4464 images/s [10/14 02:11:32] ppdet.engine INFO: Epoch: [52] [ 0/366] learning_rate: 0.371073 loss_vfl: 0.959343 loss_bbox: 0.326747 loss_dfl: 0.199815 loss: 1.489418 eta: 2 days, 22:30:51 batch_cost: 3.4301 data_cost: 0.6410 ips: 23.3228 images/s [10/14 02:12:31] ppdet.engine INFO: Epoch: [52] [ 20/366] learning_rate: 0.371014 loss_vfl: 0.936808 loss_bbox: 0.326695 loss_dfl: 0.198677 loss: 1.505018 eta: 2 days, 22:29:55 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6359 images/s [10/14 02:13:30] ppdet.engine INFO: Epoch: [52] [ 40/366] learning_rate: 0.370954 loss_vfl: 0.945372 loss_bbox: 0.350195 loss_dfl: 0.210188 loss: 1.503258 eta: 2 days, 22:29:02 batch_cost: 2.8252 data_cost: 0.0016 ips: 28.3161 images/s [10/14 02:14:29] ppdet.engine INFO: Epoch: [52] [ 60/366] learning_rate: 0.370895 loss_vfl: 0.938313 loss_bbox: 0.335839 loss_dfl: 0.201446 loss: 1.501629 eta: 2 days, 22:28:05 batch_cost: 2.7860 data_cost: 0.0016 ips: 28.7154 images/s [10/14 02:15:28] ppdet.engine INFO: Epoch: [52] [ 80/366] learning_rate: 0.370835 loss_vfl: 0.944189 loss_bbox: 0.313517 loss_dfl: 0.193636 loss: 1.457770 eta: 2 days, 22:27:10 batch_cost: 2.8075 data_cost: 0.0017 ips: 28.4955 images/s [10/14 02:16:26] ppdet.engine INFO: Epoch: [52] [100/366] learning_rate: 0.370776 loss_vfl: 0.945084 loss_bbox: 0.341506 loss_dfl: 0.204439 loss: 1.493212 eta: 2 days, 22:26:08 batch_cost: 2.7325 data_cost: 0.0016 ips: 29.2777 images/s [10/14 02:17:24] ppdet.engine INFO: Epoch: [52] [120/366] learning_rate: 0.370716 loss_vfl: 0.942009 loss_bbox: 0.325635 loss_dfl: 0.200543 loss: 1.488373 eta: 2 days, 22:25:11 batch_cost: 2.7827 data_cost: 0.0016 ips: 28.7493 images/s [10/14 02:18:22] ppdet.engine INFO: Epoch: [52] [140/366] learning_rate: 0.370656 loss_vfl: 0.946908 loss_bbox: 0.340978 loss_dfl: 0.197682 loss: 1.483901 eta: 2 days, 22:24:09 batch_cost: 2.7306 data_cost: 0.0016 ips: 29.2977 images/s [10/14 02:19:19] ppdet.engine INFO: Epoch: [52] [160/366] learning_rate: 0.370597 loss_vfl: 0.955291 loss_bbox: 0.331403 loss_dfl: 0.201210 loss: 1.482655 eta: 2 days, 22:23:05 batch_cost: 2.7134 data_cost: 0.0016 ips: 29.4831 images/s [10/14 02:20:18] ppdet.engine INFO: Epoch: [52] [180/366] learning_rate: 0.370537 loss_vfl: 0.955058 loss_bbox: 0.335406 loss_dfl: 0.202332 loss: 1.491092 eta: 2 days, 22:22:06 batch_cost: 2.7647 data_cost: 0.0016 ips: 28.9359 images/s [10/14 02:21:16] ppdet.engine INFO: Epoch: [52] [200/366] learning_rate: 0.370477 loss_vfl: 0.947240 loss_bbox: 0.335686 loss_dfl: 0.196109 loss: 1.482033 eta: 2 days, 22:21:06 batch_cost: 2.7512 data_cost: 0.0016 ips: 29.0783 images/s [10/14 02:22:14] ppdet.engine INFO: Epoch: [52] [220/366] learning_rate: 0.370417 loss_vfl: 0.957376 loss_bbox: 0.331899 loss_dfl: 0.204329 loss: 1.486225 eta: 2 days, 22:20:08 batch_cost: 2.7774 data_cost: 0.0015 ips: 28.8035 images/s [10/14 02:23:12] ppdet.engine INFO: Epoch: [52] [240/366] learning_rate: 0.370357 loss_vfl: 0.947386 loss_bbox: 0.360790 loss_dfl: 0.213145 loss: 1.532489 eta: 2 days, 22:19:06 batch_cost: 2.7376 data_cost: 0.0015 ips: 29.2231 images/s [10/14 02:24:09] ppdet.engine INFO: Epoch: [52] [260/366] learning_rate: 0.370297 loss_vfl: 0.947801 loss_bbox: 0.339548 loss_dfl: 0.205813 loss: 1.492710 eta: 2 days, 22:18:01 batch_cost: 2.6921 data_cost: 0.0015 ips: 29.7167 images/s [10/14 02:25:07] ppdet.engine INFO: Epoch: [52] [280/366] learning_rate: 0.370237 loss_vfl: 0.964098 loss_bbox: 0.337249 loss_dfl: 0.204532 loss: 1.512503 eta: 2 days, 22:17:01 batch_cost: 2.7571 data_cost: 0.0015 ips: 29.0164 images/s [10/14 02:26:05] ppdet.engine INFO: Epoch: [52] [300/366] learning_rate: 0.370177 loss_vfl: 0.961500 loss_bbox: 0.323997 loss_dfl: 0.200338 loss: 1.477309 eta: 2 days, 22:16:03 batch_cost: 2.7761 data_cost: 0.0015 ips: 28.8177 images/s [10/14 02:27:03] ppdet.engine INFO: Epoch: [52] [320/366] learning_rate: 0.370117 loss_vfl: 0.954997 loss_bbox: 0.353257 loss_dfl: 0.210318 loss: 1.518963 eta: 2 days, 22:15:03 batch_cost: 2.7485 data_cost: 0.0016 ips: 29.1066 images/s [10/14 02:28:00] ppdet.engine INFO: Epoch: [52] [340/366] learning_rate: 0.370057 loss_vfl: 0.951795 loss_bbox: 0.323385 loss_dfl: 0.190106 loss: 1.487781 eta: 2 days, 22:13:57 batch_cost: 2.6891 data_cost: 0.0015 ips: 29.7494 images/s [10/14 02:28:52] ppdet.engine INFO: Epoch: [52] [360/366] learning_rate: 0.369997 loss_vfl: 0.960081 loss_bbox: 0.344713 loss_dfl: 0.209067 loss: 1.513378 eta: 2 days, 22:12:32 batch_cost: 2.4814 data_cost: 0.0016 ips: 32.2397 images/s [10/14 02:29:30] ppdet.engine INFO: Epoch: [53] [ 0/366] learning_rate: 0.369979 loss_vfl: 0.965956 loss_bbox: 0.343763 loss_dfl: 0.208385 loss: 1.500454 eta: 2 days, 22:13:32 batch_cost: 3.3014 data_cost: 0.5601 ips: 24.2321 images/s [10/14 02:30:29] ppdet.engine INFO: Epoch: [53] [ 20/366] learning_rate: 0.369918 loss_vfl: 0.945181 loss_bbox: 0.331621 loss_dfl: 0.205422 loss: 1.472495 eta: 2 days, 22:12:37 batch_cost: 2.8137 data_cost: 0.0017 ips: 28.4326 images/s [10/14 02:31:28] ppdet.engine INFO: Epoch: [53] [ 40/366] learning_rate: 0.369858 loss_vfl: 0.945016 loss_bbox: 0.335691 loss_dfl: 0.206188 loss: 1.486129 eta: 2 days, 22:11:38 batch_cost: 2.7616 data_cost: 0.0016 ips: 28.9683 images/s [10/14 02:32:27] ppdet.engine INFO: Epoch: [53] [ 60/366] learning_rate: 0.369797 loss_vfl: 0.939753 loss_bbox: 0.316138 loss_dfl: 0.195252 loss: 1.468727 eta: 2 days, 22:10:43 batch_cost: 2.8013 data_cost: 0.0023 ips: 28.5585 images/s [10/14 02:33:26] ppdet.engine INFO: Epoch: [53] [ 80/366] learning_rate: 0.369737 loss_vfl: 0.933691 loss_bbox: 0.343470 loss_dfl: 0.204177 loss: 1.508986 eta: 2 days, 22:09:47 batch_cost: 2.7969 data_cost: 0.0016 ips: 28.6032 images/s [10/14 02:34:26] ppdet.engine INFO: Epoch: [53] [100/366] learning_rate: 0.369676 loss_vfl: 0.949364 loss_bbox: 0.347214 loss_dfl: 0.207239 loss: 1.515020 eta: 2 days, 22:08:55 batch_cost: 2.8372 data_cost: 0.0016 ips: 28.1969 images/s [10/14 02:35:25] ppdet.engine INFO: Epoch: [53] [120/366] learning_rate: 0.369616 loss_vfl: 0.952895 loss_bbox: 0.336818 loss_dfl: 0.203649 loss: 1.496506 eta: 2 days, 22:08:00 batch_cost: 2.8148 data_cost: 0.0016 ips: 28.4212 images/s [10/14 02:36:23] ppdet.engine INFO: Epoch: [53] [140/366] learning_rate: 0.369555 loss_vfl: 0.959651 loss_bbox: 0.328167 loss_dfl: 0.201897 loss: 1.478863 eta: 2 days, 22:07:02 batch_cost: 2.7691 data_cost: 0.0016 ips: 28.8907 images/s [10/14 02:37:23] ppdet.engine INFO: Epoch: [53] [160/366] learning_rate: 0.369494 loss_vfl: 0.943392 loss_bbox: 0.358457 loss_dfl: 0.208359 loss: 1.507853 eta: 2 days, 22:06:08 batch_cost: 2.8160 data_cost: 0.0016 ips: 28.4095 images/s [10/14 02:38:24] ppdet.engine INFO: Epoch: [53] [180/366] learning_rate: 0.369434 loss_vfl: 0.946904 loss_bbox: 0.323250 loss_dfl: 0.191124 loss: 1.471219 eta: 2 days, 22:05:23 batch_cost: 2.9136 data_cost: 0.0016 ips: 27.4573 images/s [10/14 02:39:23] ppdet.engine INFO: Epoch: [53] [200/366] learning_rate: 0.369373 loss_vfl: 0.941115 loss_bbox: 0.331983 loss_dfl: 0.199916 loss: 1.480585 eta: 2 days, 22:04:24 batch_cost: 2.7657 data_cost: 0.0016 ips: 28.9262 images/s [10/14 02:40:22] ppdet.engine INFO: Epoch: [53] [220/366] learning_rate: 0.369312 loss_vfl: 0.959297 loss_bbox: 0.315935 loss_dfl: 0.194236 loss: 1.494037 eta: 2 days, 22:03:28 batch_cost: 2.8018 data_cost: 0.0015 ips: 28.5529 images/s [10/14 02:41:21] ppdet.engine INFO: Epoch: [53] [240/366] learning_rate: 0.369251 loss_vfl: 0.943143 loss_bbox: 0.335207 loss_dfl: 0.202112 loss: 1.484274 eta: 2 days, 22:02:31 batch_cost: 2.7825 data_cost: 0.0016 ips: 28.7513 images/s [10/14 02:42:20] ppdet.engine INFO: Epoch: [53] [260/366] learning_rate: 0.369190 loss_vfl: 0.960325 loss_bbox: 0.337213 loss_dfl: 0.202326 loss: 1.495397 eta: 2 days, 22:01:40 batch_cost: 2.8469 data_cost: 0.0016 ips: 28.1003 images/s [10/14 02:43:19] ppdet.engine INFO: Epoch: [53] [280/366] learning_rate: 0.369129 loss_vfl: 0.939750 loss_bbox: 0.325852 loss_dfl: 0.202998 loss: 1.490519 eta: 2 days, 22:00:42 batch_cost: 2.7703 data_cost: 0.0016 ips: 28.8777 images/s [10/14 02:44:19] ppdet.engine INFO: Epoch: [53] [300/366] learning_rate: 0.369068 loss_vfl: 0.938624 loss_bbox: 0.339020 loss_dfl: 0.203592 loss: 1.483872 eta: 2 days, 21:59:47 batch_cost: 2.8147 data_cost: 0.0016 ips: 28.4223 images/s [10/14 02:45:16] ppdet.engine INFO: Epoch: [53] [320/366] learning_rate: 0.369006 loss_vfl: 0.947564 loss_bbox: 0.330958 loss_dfl: 0.204950 loss: 1.475082 eta: 2 days, 21:58:45 batch_cost: 2.7289 data_cost: 0.0016 ips: 29.3157 images/s [10/14 02:46:14] ppdet.engine INFO: Epoch: [53] [340/366] learning_rate: 0.368945 loss_vfl: 0.961932 loss_bbox: 0.338257 loss_dfl: 0.202791 loss: 1.503487 eta: 2 days, 21:57:42 batch_cost: 2.7196 data_cost: 0.0016 ips: 29.4161 images/s [10/14 02:47:08] ppdet.engine INFO: Epoch: [53] [360/366] learning_rate: 0.368884 loss_vfl: 0.951480 loss_bbox: 0.338077 loss_dfl: 0.207375 loss: 1.504338 eta: 2 days, 21:56:25 batch_cost: 2.5585 data_cost: 0.0015 ips: 31.2686 images/s [10/14 02:47:44] ppdet.engine INFO: Epoch: [54] [ 0/366] learning_rate: 0.368866 loss_vfl: 0.949078 loss_bbox: 0.347720 loss_dfl: 0.208094 loss: 1.507069 eta: 2 days, 21:57:15 batch_cost: 3.2729 data_cost: 0.3120 ips: 24.4433 images/s [10/14 02:48:45] ppdet.engine INFO: Epoch: [54] [ 20/366] learning_rate: 0.368804 loss_vfl: 0.945123 loss_bbox: 0.328754 loss_dfl: 0.195371 loss: 1.477273 eta: 2 days, 21:56:31 batch_cost: 2.9243 data_cost: 0.0018 ips: 27.3573 images/s [10/14 02:49:46] ppdet.engine INFO: Epoch: [54] [ 40/366] learning_rate: 0.368743 loss_vfl: 0.958409 loss_bbox: 0.337153 loss_dfl: 0.204731 loss: 1.503588 eta: 2 days, 21:55:41 batch_cost: 2.8669 data_cost: 0.0024 ips: 27.9046 images/s [10/14 02:50:45] ppdet.engine INFO: Epoch: [54] [ 60/366] learning_rate: 0.368681 loss_vfl: 0.933932 loss_bbox: 0.332929 loss_dfl: 0.205101 loss: 1.473665 eta: 2 days, 21:54:45 batch_cost: 2.7971 data_cost: 0.0018 ips: 28.6006 images/s [10/14 02:51:46] ppdet.engine INFO: Epoch: [54] [ 80/366] learning_rate: 0.368620 loss_vfl: 0.952651 loss_bbox: 0.332144 loss_dfl: 0.202891 loss: 1.482088 eta: 2 days, 21:53:57 batch_cost: 2.8853 data_cost: 0.0017 ips: 27.7271 images/s [10/14 02:52:44] ppdet.engine INFO: Epoch: [54] [100/366] learning_rate: 0.368558 loss_vfl: 0.946689 loss_bbox: 0.340234 loss_dfl: 0.210093 loss: 1.493850 eta: 2 days, 21:52:58 batch_cost: 2.7637 data_cost: 0.0016 ips: 28.9472 images/s [10/14 02:53:43] ppdet.engine INFO: Epoch: [54] [120/366] learning_rate: 0.368497 loss_vfl: 0.951191 loss_bbox: 0.322990 loss_dfl: 0.197139 loss: 1.486895 eta: 2 days, 21:52:04 batch_cost: 2.8136 data_cost: 0.0016 ips: 28.4335 images/s [10/14 02:54:42] ppdet.engine INFO: Epoch: [54] [140/366] learning_rate: 0.368435 loss_vfl: 0.949545 loss_bbox: 0.352703 loss_dfl: 0.208701 loss: 1.522639 eta: 2 days, 21:51:06 batch_cost: 2.7783 data_cost: 0.0016 ips: 28.7948 images/s [10/14 02:55:40] ppdet.engine INFO: Epoch: [54] [160/366] learning_rate: 0.368373 loss_vfl: 0.957554 loss_bbox: 0.340370 loss_dfl: 0.208460 loss: 1.512420 eta: 2 days, 21:50:07 batch_cost: 2.7594 data_cost: 0.0016 ips: 28.9918 images/s [10/14 02:56:38] ppdet.engine INFO: Epoch: [54] [180/366] learning_rate: 0.368311 loss_vfl: 0.952594 loss_bbox: 0.338975 loss_dfl: 0.204968 loss: 1.495861 eta: 2 days, 21:49:07 batch_cost: 2.7528 data_cost: 0.0015 ips: 29.0615 images/s [10/14 02:57:35] ppdet.engine INFO: Epoch: [54] [200/366] learning_rate: 0.368250 loss_vfl: 0.934978 loss_bbox: 0.333036 loss_dfl: 0.203336 loss: 1.458849 eta: 2 days, 21:48:05 batch_cost: 2.7341 data_cost: 0.0016 ips: 29.2606 images/s [10/14 02:58:34] ppdet.engine INFO: Epoch: [54] [220/366] learning_rate: 0.368188 loss_vfl: 0.957185 loss_bbox: 0.343225 loss_dfl: 0.202411 loss: 1.495102 eta: 2 days, 21:47:08 batch_cost: 2.7772 data_cost: 0.0017 ips: 28.8056 images/s [10/14 02:59:32] ppdet.engine INFO: Epoch: [54] [240/366] learning_rate: 0.368126 loss_vfl: 0.945515 loss_bbox: 0.327541 loss_dfl: 0.195992 loss: 1.461337 eta: 2 days, 21:46:09 batch_cost: 2.7691 data_cost: 0.0016 ips: 28.8906 images/s [10/14 03:00:33] ppdet.engine INFO: Epoch: [54] [260/366] learning_rate: 0.368064 loss_vfl: 0.952697 loss_bbox: 0.346888 loss_dfl: 0.204986 loss: 1.503330 eta: 2 days, 21:45:19 batch_cost: 2.8669 data_cost: 0.0016 ips: 27.9045 images/s [10/14 03:01:33] ppdet.engine INFO: Epoch: [54] [280/366] learning_rate: 0.368002 loss_vfl: 0.930154 loss_bbox: 0.326711 loss_dfl: 0.196435 loss: 1.457315 eta: 2 days, 21:44:31 batch_cost: 2.8768 data_cost: 0.0017 ips: 27.8089 images/s [10/14 03:02:31] ppdet.engine INFO: Epoch: [54] [300/366] learning_rate: 0.367940 loss_vfl: 0.951911 loss_bbox: 0.342888 loss_dfl: 0.204156 loss: 1.498937 eta: 2 days, 21:43:32 batch_cost: 2.7666 data_cost: 0.0016 ips: 28.9162 images/s [10/14 03:03:31] ppdet.engine INFO: Epoch: [54] [320/366] learning_rate: 0.367877 loss_vfl: 0.962642 loss_bbox: 0.331846 loss_dfl: 0.203580 loss: 1.508953 eta: 2 days, 21:42:38 batch_cost: 2.8158 data_cost: 0.0016 ips: 28.4114 images/s [10/14 03:04:30] ppdet.engine INFO: Epoch: [54] [340/366] learning_rate: 0.367815 loss_vfl: 0.964402 loss_bbox: 0.317155 loss_dfl: 0.197383 loss: 1.475835 eta: 2 days, 21:41:41 batch_cost: 2.7912 data_cost: 0.0015 ips: 28.6613 images/s [10/14 03:05:21] ppdet.engine INFO: Epoch: [54] [360/366] learning_rate: 0.367753 loss_vfl: 0.943933 loss_bbox: 0.335035 loss_dfl: 0.210745 loss: 1.504615 eta: 2 days, 21:40:12 batch_cost: 2.4270 data_cost: 0.0016 ips: 32.9630 images/s [10/14 03:05:57] ppdet.engine INFO: Epoch: [55] [ 0/366] learning_rate: 0.367734 loss_vfl: 0.942088 loss_bbox: 0.345008 loss_dfl: 0.210548 loss: 1.504468 eta: 2 days, 21:41:03 batch_cost: 3.2327 data_cost: 0.5605 ips: 24.7472 images/s [10/14 03:06:56] ppdet.engine INFO: Epoch: [55] [ 20/366] learning_rate: 0.367672 loss_vfl: 0.926094 loss_bbox: 0.362319 loss_dfl: 0.206772 loss: 1.504416 eta: 2 days, 21:40:06 batch_cost: 2.7792 data_cost: 0.0017 ips: 28.7855 images/s [10/14 03:07:53] ppdet.engine INFO: Epoch: [55] [ 40/366] learning_rate: 0.367609 loss_vfl: 0.953154 loss_bbox: 0.346170 loss_dfl: 0.200472 loss: 1.489834 eta: 2 days, 21:39:03 batch_cost: 2.7157 data_cost: 0.0016 ips: 29.4583 images/s [10/14 03:08:51] ppdet.engine INFO: Epoch: [55] [ 60/366] learning_rate: 0.367547 loss_vfl: 0.937894 loss_bbox: 0.321216 loss_dfl: 0.198167 loss: 1.468499 eta: 2 days, 21:38:00 batch_cost: 2.7234 data_cost: 0.0015 ips: 29.3750 images/s [10/14 03:09:47] ppdet.engine INFO: Epoch: [55] [ 80/366] learning_rate: 0.367484 loss_vfl: 0.949658 loss_bbox: 0.330889 loss_dfl: 0.206628 loss: 1.531279 eta: 2 days, 21:36:51 batch_cost: 2.6529 data_cost: 0.0015 ips: 30.1554 images/s [10/14 03:10:45] ppdet.engine INFO: Epoch: [55] [100/366] learning_rate: 0.367422 loss_vfl: 0.963874 loss_bbox: 0.333494 loss_dfl: 0.201027 loss: 1.473419 eta: 2 days, 21:35:50 batch_cost: 2.7411 data_cost: 0.0016 ips: 29.1854 images/s [10/14 03:11:44] ppdet.engine INFO: Epoch: [55] [120/366] learning_rate: 0.367359 loss_vfl: 0.945619 loss_bbox: 0.339335 loss_dfl: 0.200648 loss: 1.486575 eta: 2 days, 21:34:56 batch_cost: 2.8089 data_cost: 0.0016 ips: 28.4806 images/s [10/14 03:12:41] ppdet.engine INFO: Epoch: [55] [140/366] learning_rate: 0.367296 loss_vfl: 0.925278 loss_bbox: 0.354918 loss_dfl: 0.211385 loss: 1.485064 eta: 2 days, 21:33:53 batch_cost: 2.7221 data_cost: 0.0016 ips: 29.3890 images/s [10/14 03:13:38] ppdet.engine INFO: Epoch: [55] [160/366] learning_rate: 0.367234 loss_vfl: 0.943354 loss_bbox: 0.320955 loss_dfl: 0.194363 loss: 1.482143 eta: 2 days, 21:32:50 batch_cost: 2.7162 data_cost: 0.0016 ips: 29.4532 images/s [10/14 03:14:37] ppdet.engine INFO: Epoch: [55] [180/366] learning_rate: 0.367171 loss_vfl: 0.954501 loss_bbox: 0.322426 loss_dfl: 0.194824 loss: 1.482876 eta: 2 days, 21:31:51 batch_cost: 2.7695 data_cost: 0.0015 ips: 28.8857 images/s [10/14 03:15:35] ppdet.engine INFO: Epoch: [55] [200/366] learning_rate: 0.367108 loss_vfl: 0.953027 loss_bbox: 0.334738 loss_dfl: 0.198769 loss: 1.464704 eta: 2 days, 21:30:52 batch_cost: 2.7539 data_cost: 0.0016 ips: 29.0499 images/s [10/14 03:16:32] ppdet.engine INFO: Epoch: [55] [220/366] learning_rate: 0.367045 loss_vfl: 0.936608 loss_bbox: 0.343160 loss_dfl: 0.203660 loss: 1.476668 eta: 2 days, 21:29:47 batch_cost: 2.6954 data_cost: 0.0017 ips: 29.6799 images/s [10/14 03:17:31] ppdet.engine INFO: Epoch: [55] [240/366] learning_rate: 0.366982 loss_vfl: 0.945935 loss_bbox: 0.351545 loss_dfl: 0.206633 loss: 1.501889 eta: 2 days, 21:28:51 batch_cost: 2.8036 data_cost: 0.0016 ips: 28.5351 images/s [10/14 03:18:29] ppdet.engine INFO: Epoch: [55] [260/366] learning_rate: 0.366919 loss_vfl: 0.950202 loss_bbox: 0.335666 loss_dfl: 0.206896 loss: 1.482198 eta: 2 days, 21:27:49 batch_cost: 2.7261 data_cost: 0.0015 ips: 29.3465 images/s [10/14 03:19:27] ppdet.engine INFO: Epoch: [55] [280/366] learning_rate: 0.366856 loss_vfl: 0.946472 loss_bbox: 0.331448 loss_dfl: 0.199483 loss: 1.474758 eta: 2 days, 21:26:48 batch_cost: 2.7299 data_cost: 0.0016 ips: 29.3054 images/s [10/14 03:20:25] ppdet.engine INFO: Epoch: [55] [300/366] learning_rate: 0.366793 loss_vfl: 0.942239 loss_bbox: 0.345788 loss_dfl: 0.209902 loss: 1.509596 eta: 2 days, 21:25:48 batch_cost: 2.7520 data_cost: 0.0015 ips: 29.0699 images/s [10/14 03:21:23] ppdet.engine INFO: Epoch: [55] [320/366] learning_rate: 0.366730 loss_vfl: 0.922055 loss_bbox: 0.334583 loss_dfl: 0.207211 loss: 1.481201 eta: 2 days, 21:24:47 batch_cost: 2.7386 data_cost: 0.0016 ips: 29.2115 images/s [10/14 03:22:21] ppdet.engine INFO: Epoch: [55] [340/366] learning_rate: 0.366667 loss_vfl: 0.954609 loss_bbox: 0.344603 loss_dfl: 0.204083 loss: 1.491481 eta: 2 days, 21:23:48 batch_cost: 2.7628 data_cost: 0.0017 ips: 28.9560 images/s [10/14 03:23:15] ppdet.engine INFO: Epoch: [55] [360/366] learning_rate: 0.366603 loss_vfl: 0.961855 loss_bbox: 0.319757 loss_dfl: 0.196855 loss: 1.494631 eta: 2 days, 21:22:29 batch_cost: 2.5313 data_cost: 0.0015 ips: 31.6048 images/s [10/14 03:23:50] ppdet.engine INFO: Epoch: [56] [ 0/366] learning_rate: 0.366584 loss_vfl: 0.943454 loss_bbox: 0.346041 loss_dfl: 0.206646 loss: 1.498611 eta: 2 days, 21:23:14 batch_cost: 3.3016 data_cost: 0.2831 ips: 24.2310 images/s [10/14 03:24:50] ppdet.engine INFO: Epoch: [56] [ 20/366] learning_rate: 0.366521 loss_vfl: 0.958568 loss_bbox: 0.312927 loss_dfl: 0.197262 loss: 1.481818 eta: 2 days, 21:22:19 batch_cost: 2.8084 data_cost: 0.0016 ips: 28.4856 images/s [10/14 03:25:48] ppdet.engine INFO: Epoch: [56] [ 40/366] learning_rate: 0.366457 loss_vfl: 0.935842 loss_bbox: 0.335958 loss_dfl: 0.198993 loss: 1.493896 eta: 2 days, 21:21:20 batch_cost: 2.7524 data_cost: 0.0017 ips: 29.0655 images/s [10/14 03:26:48] ppdet.engine INFO: Epoch: [56] [ 60/366] learning_rate: 0.366394 loss_vfl: 0.952768 loss_bbox: 0.348944 loss_dfl: 0.202845 loss: 1.487992 eta: 2 days, 21:20:30 batch_cost: 2.8647 data_cost: 0.0016 ips: 27.9260 images/s [10/14 03:27:47] ppdet.engine INFO: Epoch: [56] [ 80/366] learning_rate: 0.366330 loss_vfl: 0.964530 loss_bbox: 0.323913 loss_dfl: 0.197820 loss: 1.471029 eta: 2 days, 21:19:34 batch_cost: 2.8030 data_cost: 0.0016 ips: 28.5404 images/s [10/14 03:28:47] ppdet.engine INFO: Epoch: [56] [100/366] learning_rate: 0.366267 loss_vfl: 0.956009 loss_bbox: 0.348608 loss_dfl: 0.212454 loss: 1.499329 eta: 2 days, 21:18:42 batch_cost: 2.8409 data_cost: 0.0016 ips: 28.1602 images/s [10/14 03:29:45] ppdet.engine INFO: Epoch: [56] [120/366] learning_rate: 0.366203 loss_vfl: 0.930950 loss_bbox: 0.314862 loss_dfl: 0.190517 loss: 1.458272 eta: 2 days, 21:17:43 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0047 images/s [10/14 03:30:42] ppdet.engine INFO: Epoch: [56] [140/366] learning_rate: 0.366140 loss_vfl: 0.956743 loss_bbox: 0.326596 loss_dfl: 0.199443 loss: 1.486985 eta: 2 days, 21:16:39 batch_cost: 2.7027 data_cost: 0.0016 ips: 29.5995 images/s [10/14 03:31:41] ppdet.engine INFO: Epoch: [56] [160/366] learning_rate: 0.366076 loss_vfl: 0.960591 loss_bbox: 0.315664 loss_dfl: 0.187733 loss: 1.453772 eta: 2 days, 21:15:40 batch_cost: 2.7662 data_cost: 0.0017 ips: 28.9206 images/s [10/14 03:32:39] ppdet.engine INFO: Epoch: [56] [180/366] learning_rate: 0.366012 loss_vfl: 0.951194 loss_bbox: 0.354849 loss_dfl: 0.214150 loss: 1.508882 eta: 2 days, 21:14:41 batch_cost: 2.7578 data_cost: 0.0025 ips: 29.0086 images/s [10/14 03:33:36] ppdet.engine INFO: Epoch: [56] [200/366] learning_rate: 0.365948 loss_vfl: 0.943593 loss_bbox: 0.342822 loss_dfl: 0.209101 loss: 1.494836 eta: 2 days, 21:13:35 batch_cost: 2.6808 data_cost: 0.0016 ips: 29.8420 images/s [10/14 03:34:33] ppdet.engine INFO: Epoch: [56] [220/366] learning_rate: 0.365884 loss_vfl: 0.935015 loss_bbox: 0.346319 loss_dfl: 0.210146 loss: 1.476695 eta: 2 days, 21:12:32 batch_cost: 2.7198 data_cost: 0.0015 ips: 29.4143 images/s [10/14 03:35:30] ppdet.engine INFO: Epoch: [56] [240/366] learning_rate: 0.365820 loss_vfl: 0.947981 loss_bbox: 0.335885 loss_dfl: 0.202182 loss: 1.490255 eta: 2 days, 21:11:30 batch_cost: 2.7274 data_cost: 0.0016 ips: 29.3324 images/s [10/14 03:36:28] ppdet.engine INFO: Epoch: [56] [260/366] learning_rate: 0.365756 loss_vfl: 0.948010 loss_bbox: 0.326985 loss_dfl: 0.199454 loss: 1.473246 eta: 2 days, 21:10:32 batch_cost: 2.7724 data_cost: 0.0016 ips: 28.8554 images/s [10/14 03:37:26] ppdet.engine INFO: Epoch: [56] [280/366] learning_rate: 0.365692 loss_vfl: 0.943797 loss_bbox: 0.343731 loss_dfl: 0.207447 loss: 1.502323 eta: 2 days, 21:09:30 batch_cost: 2.7258 data_cost: 0.0016 ips: 29.3496 images/s [10/14 03:38:24] ppdet.engine INFO: Epoch: [56] [300/366] learning_rate: 0.365628 loss_vfl: 0.941763 loss_bbox: 0.336374 loss_dfl: 0.199336 loss: 1.495366 eta: 2 days, 21:08:31 batch_cost: 2.7632 data_cost: 0.0016 ips: 28.9519 images/s [10/14 03:39:23] ppdet.engine INFO: Epoch: [56] [320/366] learning_rate: 0.365564 loss_vfl: 0.949977 loss_bbox: 0.337098 loss_dfl: 0.205773 loss: 1.503312 eta: 2 days, 21:07:34 batch_cost: 2.7857 data_cost: 0.0017 ips: 28.7185 images/s [10/14 03:40:21] ppdet.engine INFO: Epoch: [56] [340/366] learning_rate: 0.365500 loss_vfl: 0.952551 loss_bbox: 0.352999 loss_dfl: 0.210991 loss: 1.497529 eta: 2 days, 21:06:37 batch_cost: 2.7756 data_cost: 0.0022 ips: 28.8230 images/s [10/14 03:41:15] ppdet.engine INFO: Epoch: [56] [360/366] learning_rate: 0.365435 loss_vfl: 0.943319 loss_bbox: 0.348113 loss_dfl: 0.212131 loss: 1.503890 eta: 2 days, 21:05:19 batch_cost: 2.5389 data_cost: 0.0018 ips: 31.5100 images/s [10/14 03:41:51] ppdet.engine INFO: Epoch: [57] [ 0/366] learning_rate: 0.365416 loss_vfl: 0.943319 loss_bbox: 0.344733 loss_dfl: 0.209469 loss: 1.499549 eta: 2 days, 21:06:05 batch_cost: 3.2203 data_cost: 0.5101 ips: 24.8427 images/s [10/14 03:42:51] ppdet.engine INFO: Epoch: [57] [ 20/366] learning_rate: 0.365352 loss_vfl: 0.950932 loss_bbox: 0.322714 loss_dfl: 0.197268 loss: 1.479631 eta: 2 days, 21:05:16 batch_cost: 2.8777 data_cost: 0.0017 ips: 27.7997 images/s [10/14 03:43:50] ppdet.engine INFO: Epoch: [57] [ 40/366] learning_rate: 0.365287 loss_vfl: 0.941306 loss_bbox: 0.322921 loss_dfl: 0.201075 loss: 1.466445 eta: 2 days, 21:04:17 batch_cost: 2.7685 data_cost: 0.0016 ips: 28.8967 images/s [10/14 03:44:48] ppdet.engine INFO: Epoch: [57] [ 60/366] learning_rate: 0.365223 loss_vfl: 0.947379 loss_bbox: 0.339134 loss_dfl: 0.209295 loss: 1.499907 eta: 2 days, 21:03:21 batch_cost: 2.7983 data_cost: 0.0016 ips: 28.5891 images/s [10/14 03:45:47] ppdet.engine INFO: Epoch: [57] [ 80/366] learning_rate: 0.365158 loss_vfl: 0.938965 loss_bbox: 0.319281 loss_dfl: 0.199604 loss: 1.474286 eta: 2 days, 21:02:24 batch_cost: 2.7757 data_cost: 0.0016 ips: 28.8217 images/s [10/14 03:46:44] ppdet.engine INFO: Epoch: [57] [100/366] learning_rate: 0.365094 loss_vfl: 0.951786 loss_bbox: 0.310110 loss_dfl: 0.198589 loss: 1.461387 eta: 2 days, 21:01:19 batch_cost: 2.6915 data_cost: 0.0016 ips: 29.7228 images/s [10/14 03:47:42] ppdet.engine INFO: Epoch: [57] [120/366] learning_rate: 0.365029 loss_vfl: 0.957764 loss_bbox: 0.344407 loss_dfl: 0.210800 loss: 1.508572 eta: 2 days, 21:00:22 batch_cost: 2.7881 data_cost: 0.0021 ips: 28.6929 images/s [10/14 03:48:41] ppdet.engine INFO: Epoch: [57] [140/366] learning_rate: 0.364964 loss_vfl: 0.958328 loss_bbox: 0.340160 loss_dfl: 0.207890 loss: 1.489082 eta: 2 days, 20:59:25 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7077 images/s [10/14 03:49:39] ppdet.engine INFO: Epoch: [57] [160/366] learning_rate: 0.364900 loss_vfl: 0.945600 loss_bbox: 0.343509 loss_dfl: 0.201254 loss: 1.491476 eta: 2 days, 20:58:24 batch_cost: 2.7319 data_cost: 0.0016 ips: 29.2842 images/s [10/14 03:50:38] ppdet.engine INFO: Epoch: [57] [180/366] learning_rate: 0.364835 loss_vfl: 0.959195 loss_bbox: 0.329914 loss_dfl: 0.198647 loss: 1.500304 eta: 2 days, 20:57:28 batch_cost: 2.8016 data_cost: 0.0016 ips: 28.5556 images/s [10/14 03:51:35] ppdet.engine INFO: Epoch: [57] [200/366] learning_rate: 0.364770 loss_vfl: 0.958554 loss_bbox: 0.326066 loss_dfl: 0.196448 loss: 1.476183 eta: 2 days, 20:56:25 batch_cost: 2.7052 data_cost: 0.0022 ips: 29.5722 images/s [10/14 03:52:33] ppdet.engine INFO: Epoch: [57] [220/366] learning_rate: 0.364705 loss_vfl: 0.948067 loss_bbox: 0.319539 loss_dfl: 0.199327 loss: 1.461453 eta: 2 days, 20:55:27 batch_cost: 2.7793 data_cost: 0.0016 ips: 28.7845 images/s [10/14 03:53:32] ppdet.engine INFO: Epoch: [57] [240/366] learning_rate: 0.364640 loss_vfl: 0.980649 loss_bbox: 0.330779 loss_dfl: 0.205373 loss: 1.517988 eta: 2 days, 20:54:33 batch_cost: 2.8133 data_cost: 0.0016 ips: 28.4368 images/s [10/14 03:54:31] ppdet.engine INFO: Epoch: [57] [260/366] learning_rate: 0.364575 loss_vfl: 0.951389 loss_bbox: 0.346241 loss_dfl: 0.204218 loss: 1.494333 eta: 2 days, 20:53:37 batch_cost: 2.8006 data_cost: 0.0016 ips: 28.5651 images/s [10/14 03:55:30] ppdet.engine INFO: Epoch: [57] [280/366] learning_rate: 0.364510 loss_vfl: 0.959400 loss_bbox: 0.341669 loss_dfl: 0.209735 loss: 1.502985 eta: 2 days, 20:52:40 batch_cost: 2.7807 data_cost: 0.0016 ips: 28.7693 images/s [10/14 03:56:31] ppdet.engine INFO: Epoch: [57] [300/366] learning_rate: 0.364445 loss_vfl: 0.944682 loss_bbox: 0.335695 loss_dfl: 0.201780 loss: 1.480417 eta: 2 days, 20:51:51 batch_cost: 2.8793 data_cost: 0.0016 ips: 27.7846 images/s [10/14 03:57:30] ppdet.engine INFO: Epoch: [57] [320/366] learning_rate: 0.364380 loss_vfl: 0.941052 loss_bbox: 0.329523 loss_dfl: 0.198273 loss: 1.461791 eta: 2 days, 20:50:58 batch_cost: 2.8302 data_cost: 0.0017 ips: 28.2664 images/s [10/14 03:58:29] ppdet.engine INFO: Epoch: [57] [340/366] learning_rate: 0.364315 loss_vfl: 0.962282 loss_bbox: 0.322431 loss_dfl: 0.192949 loss: 1.468919 eta: 2 days, 20:49:59 batch_cost: 2.7706 data_cost: 0.0017 ips: 28.8748 images/s [10/14 03:59:22] ppdet.engine INFO: Epoch: [57] [360/366] learning_rate: 0.364249 loss_vfl: 0.943420 loss_bbox: 0.333674 loss_dfl: 0.196274 loss: 1.495227 eta: 2 days, 20:48:39 batch_cost: 2.5036 data_cost: 0.0016 ips: 31.9539 images/s [10/14 03:59:59] ppdet.engine INFO: Epoch: [58] [ 0/366] learning_rate: 0.364230 loss_vfl: 0.945551 loss_bbox: 0.337829 loss_dfl: 0.200872 loss: 1.500014 eta: 2 days, 20:49:30 batch_cost: 3.3243 data_cost: 0.3669 ips: 24.0653 images/s [10/14 04:00:59] ppdet.engine INFO: Epoch: [58] [ 20/366] learning_rate: 0.364164 loss_vfl: 0.939112 loss_bbox: 0.343108 loss_dfl: 0.211494 loss: 1.503939 eta: 2 days, 20:48:37 batch_cost: 2.8326 data_cost: 0.0018 ips: 28.2425 images/s [10/14 04:02:00] ppdet.engine INFO: Epoch: [58] [ 40/366] learning_rate: 0.364099 loss_vfl: 0.931581 loss_bbox: 0.344378 loss_dfl: 0.207639 loss: 1.481837 eta: 2 days, 20:47:47 batch_cost: 2.8628 data_cost: 0.0019 ips: 27.9452 images/s [10/14 04:02:59] ppdet.engine INFO: Epoch: [58] [ 60/366] learning_rate: 0.364034 loss_vfl: 0.955739 loss_bbox: 0.330514 loss_dfl: 0.200759 loss: 1.493657 eta: 2 days, 20:46:52 batch_cost: 2.8107 data_cost: 0.0016 ips: 28.4629 images/s [10/14 04:03:59] ppdet.engine INFO: Epoch: [58] [ 80/366] learning_rate: 0.363968 loss_vfl: 0.964195 loss_bbox: 0.345498 loss_dfl: 0.203629 loss: 1.504947 eta: 2 days, 20:45:59 batch_cost: 2.8376 data_cost: 0.0016 ips: 28.1924 images/s [10/14 04:04:57] ppdet.engine INFO: Epoch: [58] [100/366] learning_rate: 0.363903 loss_vfl: 0.951484 loss_bbox: 0.338873 loss_dfl: 0.206124 loss: 1.485367 eta: 2 days, 20:45:01 batch_cost: 2.7743 data_cost: 0.0016 ips: 28.8365 images/s [10/14 04:05:56] ppdet.engine INFO: Epoch: [58] [120/366] learning_rate: 0.363837 loss_vfl: 0.936168 loss_bbox: 0.340087 loss_dfl: 0.207090 loss: 1.487607 eta: 2 days, 20:44:02 batch_cost: 2.7635 data_cost: 0.0017 ips: 28.9487 images/s [10/14 04:06:53] ppdet.engine INFO: Epoch: [58] [140/366] learning_rate: 0.363771 loss_vfl: 0.955245 loss_bbox: 0.342870 loss_dfl: 0.206880 loss: 1.516904 eta: 2 days, 20:42:59 batch_cost: 2.7053 data_cost: 0.0016 ips: 29.5715 images/s [10/14 04:07:50] ppdet.engine INFO: Epoch: [58] [160/366] learning_rate: 0.363706 loss_vfl: 0.948148 loss_bbox: 0.339939 loss_dfl: 0.205502 loss: 1.485415 eta: 2 days, 20:41:59 batch_cost: 2.7538 data_cost: 0.0016 ips: 29.0508 images/s [10/14 04:08:50] ppdet.engine INFO: Epoch: [58] [180/366] learning_rate: 0.363640 loss_vfl: 0.938967 loss_bbox: 0.328578 loss_dfl: 0.199863 loss: 1.482693 eta: 2 days, 20:41:07 batch_cost: 2.8426 data_cost: 0.0015 ips: 28.1436 images/s [10/14 04:09:49] ppdet.engine INFO: Epoch: [58] [200/366] learning_rate: 0.363574 loss_vfl: 0.937346 loss_bbox: 0.336812 loss_dfl: 0.202292 loss: 1.486215 eta: 2 days, 20:40:10 batch_cost: 2.7847 data_cost: 0.0015 ips: 28.7287 images/s [10/14 04:10:47] ppdet.engine INFO: Epoch: [58] [220/366] learning_rate: 0.363508 loss_vfl: 0.968127 loss_bbox: 0.336253 loss_dfl: 0.204468 loss: 1.511848 eta: 2 days, 20:39:13 batch_cost: 2.7789 data_cost: 0.0017 ips: 28.7883 images/s [10/14 04:11:47] ppdet.engine INFO: Epoch: [58] [240/366] learning_rate: 0.363442 loss_vfl: 0.957590 loss_bbox: 0.333344 loss_dfl: 0.204902 loss: 1.491296 eta: 2 days, 20:38:20 batch_cost: 2.8408 data_cost: 0.0016 ips: 28.1612 images/s [10/14 04:12:46] ppdet.engine INFO: Epoch: [58] [260/366] learning_rate: 0.363376 loss_vfl: 0.954485 loss_bbox: 0.344126 loss_dfl: 0.203587 loss: 1.502267 eta: 2 days, 20:37:22 batch_cost: 2.7650 data_cost: 0.0016 ips: 28.9327 images/s [10/14 04:13:45] ppdet.engine INFO: Epoch: [58] [280/366] learning_rate: 0.363310 loss_vfl: 0.941990 loss_bbox: 0.337315 loss_dfl: 0.202714 loss: 1.496884 eta: 2 days, 20:36:25 batch_cost: 2.7914 data_cost: 0.0016 ips: 28.6595 images/s [10/14 04:14:45] ppdet.engine INFO: Epoch: [58] [300/366] learning_rate: 0.363244 loss_vfl: 0.947072 loss_bbox: 0.327761 loss_dfl: 0.201020 loss: 1.476511 eta: 2 days, 20:35:33 batch_cost: 2.8415 data_cost: 0.0015 ips: 28.1544 images/s [10/14 04:15:44] ppdet.engine INFO: Epoch: [58] [320/366] learning_rate: 0.363178 loss_vfl: 0.939950 loss_bbox: 0.326608 loss_dfl: 0.202898 loss: 1.464599 eta: 2 days, 20:34:36 batch_cost: 2.7883 data_cost: 0.0016 ips: 28.6910 images/s [10/14 04:16:43] ppdet.engine INFO: Epoch: [58] [340/366] learning_rate: 0.363112 loss_vfl: 0.942954 loss_bbox: 0.328379 loss_dfl: 0.201154 loss: 1.473103 eta: 2 days, 20:33:40 batch_cost: 2.7998 data_cost: 0.0016 ips: 28.5730 images/s [10/14 04:17:36] ppdet.engine INFO: Epoch: [58] [360/366] learning_rate: 0.363045 loss_vfl: 0.949044 loss_bbox: 0.334511 loss_dfl: 0.201176 loss: 1.491584 eta: 2 days, 20:32:21 batch_cost: 2.5163 data_cost: 0.0015 ips: 31.7927 images/s [10/14 04:18:11] ppdet.engine INFO: Epoch: [59] [ 0/366] learning_rate: 0.363026 loss_vfl: 0.945375 loss_bbox: 0.326255 loss_dfl: 0.200819 loss: 1.486727 eta: 2 days, 20:33:02 batch_cost: 3.2196 data_cost: 0.2902 ips: 24.8475 images/s [10/14 04:19:14] ppdet.engine INFO: Epoch: [59] [ 20/366] learning_rate: 0.362959 loss_vfl: 0.950042 loss_bbox: 0.341750 loss_dfl: 0.204771 loss: 1.491014 eta: 2 days, 20:32:23 batch_cost: 3.0015 data_cost: 0.0016 ips: 26.6530 images/s [10/14 04:20:13] ppdet.engine INFO: Epoch: [59] [ 40/366] learning_rate: 0.362893 loss_vfl: 0.940460 loss_bbox: 0.327877 loss_dfl: 0.197687 loss: 1.462861 eta: 2 days, 20:31:24 batch_cost: 2.7710 data_cost: 0.0016 ips: 28.8703 images/s [10/14 04:21:11] ppdet.engine INFO: Epoch: [59] [ 60/366] learning_rate: 0.362826 loss_vfl: 0.950239 loss_bbox: 0.334796 loss_dfl: 0.200220 loss: 1.478935 eta: 2 days, 20:30:28 batch_cost: 2.7907 data_cost: 0.0016 ips: 28.6668 images/s [10/14 04:22:11] ppdet.engine INFO: Epoch: [59] [ 80/366] learning_rate: 0.362760 loss_vfl: 0.951874 loss_bbox: 0.347243 loss_dfl: 0.202504 loss: 1.501990 eta: 2 days, 20:29:35 batch_cost: 2.8332 data_cost: 0.0016 ips: 28.2366 images/s [10/14 04:23:11] ppdet.engine INFO: Epoch: [59] [100/366] learning_rate: 0.362693 loss_vfl: 0.958503 loss_bbox: 0.329287 loss_dfl: 0.203051 loss: 1.494070 eta: 2 days, 20:28:44 batch_cost: 2.8573 data_cost: 0.0016 ips: 27.9989 images/s [10/14 04:24:10] ppdet.engine INFO: Epoch: [59] [120/366] learning_rate: 0.362627 loss_vfl: 0.931843 loss_bbox: 0.357231 loss_dfl: 0.208314 loss: 1.490866 eta: 2 days, 20:27:48 batch_cost: 2.8007 data_cost: 0.0015 ips: 28.5647 images/s [10/14 04:25:10] ppdet.engine INFO: Epoch: [59] [140/366] learning_rate: 0.362560 loss_vfl: 0.944864 loss_bbox: 0.328320 loss_dfl: 0.204595 loss: 1.486801 eta: 2 days, 20:26:52 batch_cost: 2.7954 data_cost: 0.0015 ips: 28.6185 images/s [10/14 04:26:11] ppdet.engine INFO: Epoch: [59] [160/366] learning_rate: 0.362493 loss_vfl: 0.958859 loss_bbox: 0.348571 loss_dfl: 0.209109 loss: 1.520684 eta: 2 days, 20:26:04 batch_cost: 2.8955 data_cost: 0.0023 ips: 27.6289 images/s [10/14 04:27:13] ppdet.engine INFO: Epoch: [59] [180/366] learning_rate: 0.362427 loss_vfl: 0.940012 loss_bbox: 0.329991 loss_dfl: 0.199597 loss: 1.482964 eta: 2 days, 20:25:20 batch_cost: 2.9480 data_cost: 0.0016 ips: 27.1368 images/s [10/14 04:28:14] ppdet.engine INFO: Epoch: [59] [200/366] learning_rate: 0.362360 loss_vfl: 0.964794 loss_bbox: 0.334395 loss_dfl: 0.204637 loss: 1.497011 eta: 2 days, 20:24:31 batch_cost: 2.8882 data_cost: 0.0015 ips: 27.6991 images/s [10/14 04:29:12] ppdet.engine INFO: Epoch: [59] [220/366] learning_rate: 0.362293 loss_vfl: 0.958419 loss_bbox: 0.324121 loss_dfl: 0.201663 loss: 1.474778 eta: 2 days, 20:23:34 batch_cost: 2.7851 data_cost: 0.0016 ips: 28.7243 images/s [10/14 04:30:10] ppdet.engine INFO: Epoch: [59] [240/366] learning_rate: 0.362226 loss_vfl: 0.938766 loss_bbox: 0.325870 loss_dfl: 0.199050 loss: 1.469520 eta: 2 days, 20:22:34 batch_cost: 2.7477 data_cost: 0.0016 ips: 29.1150 images/s [10/14 04:31:09] ppdet.engine INFO: Epoch: [59] [260/366] learning_rate: 0.362159 loss_vfl: 0.960615 loss_bbox: 0.327811 loss_dfl: 0.204734 loss: 1.485821 eta: 2 days, 20:21:38 batch_cost: 2.7924 data_cost: 0.0016 ips: 28.6489 images/s [10/14 04:32:09] ppdet.engine INFO: Epoch: [59] [280/366] learning_rate: 0.362092 loss_vfl: 0.978682 loss_bbox: 0.326958 loss_dfl: 0.198870 loss: 1.496119 eta: 2 days, 20:20:46 batch_cost: 2.8499 data_cost: 0.0016 ips: 28.0707 images/s [10/14 04:33:08] ppdet.engine INFO: Epoch: [59] [300/366] learning_rate: 0.362025 loss_vfl: 0.938462 loss_bbox: 0.319888 loss_dfl: 0.194416 loss: 1.463825 eta: 2 days, 20:19:48 batch_cost: 2.7741 data_cost: 0.0016 ips: 28.8386 images/s [10/14 04:34:05] ppdet.engine INFO: Epoch: [59] [320/366] learning_rate: 0.361958 loss_vfl: 0.929272 loss_bbox: 0.353653 loss_dfl: 0.207556 loss: 1.504230 eta: 2 days, 20:18:46 batch_cost: 2.7217 data_cost: 0.0015 ips: 29.3934 images/s [10/14 04:35:01] ppdet.engine INFO: Epoch: [59] [340/366] learning_rate: 0.361891 loss_vfl: 0.936742 loss_bbox: 0.334447 loss_dfl: 0.200663 loss: 1.486423 eta: 2 days, 20:17:39 batch_cost: 2.6576 data_cost: 0.0015 ips: 30.1024 images/s [10/14 04:35:55] ppdet.engine INFO: Epoch: [59] [360/366] learning_rate: 0.361824 loss_vfl: 0.966329 loss_bbox: 0.340454 loss_dfl: 0.205760 loss: 1.510020 eta: 2 days, 20:16:22 batch_cost: 2.5374 data_cost: 0.0015 ips: 31.5288 images/s [10/14 04:36:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 04:36:11] ppdet.engine INFO: Eval iter: 0 [10/14 04:36:49] ppdet.engine INFO: Eval iter: 100 [10/14 04:37:12] ppdet.engine INFO: Eval iter: 200 [10/14 04:37:34] ppdet.engine INFO: Eval iter: 300 [10/14 04:37:57] ppdet.engine INFO: Eval iter: 400 [10/14 04:38:20] ppdet.engine INFO: Eval iter: 500 [10/14 04:38:43] ppdet.engine INFO: Eval iter: 600 [10/14 04:39:04] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.99s) creating index... index created! [10/14 04:39:05] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.75s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.89s). Accumulating evaluation results... DONE (t=17.56s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.409 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.283 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.089 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.280 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.256 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.166 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.475 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.684 [10/14 04:41:10] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.268784093000896 [10/14 04:41:10] ppdet.engine INFO: Best test bbox ap is 0.270. [10/14 04:41:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 04:41:12] ppdet.engine INFO: Epoch: [60] [ 0/366] learning_rate: 0.361803 loss_vfl: 0.946124 loss_bbox: 0.329203 loss_dfl: 0.202455 loss: 1.481815 eta: 2 days, 20:15:53 batch_cost: 2.4063 data_cost: 0.0016 ips: 33.2455 images/s [10/14 04:42:13] ppdet.engine INFO: Epoch: [60] [ 20/366] learning_rate: 0.361736 loss_vfl: 0.951102 loss_bbox: 0.342211 loss_dfl: 0.202691 loss: 1.496094 eta: 2 days, 20:15:05 batch_cost: 2.8885 data_cost: 0.0017 ips: 27.6961 images/s [10/14 04:43:11] ppdet.engine INFO: Epoch: [60] [ 40/366] learning_rate: 0.361669 loss_vfl: 0.937307 loss_bbox: 0.342595 loss_dfl: 0.201863 loss: 1.478193 eta: 2 days, 20:14:04 batch_cost: 2.7452 data_cost: 0.0016 ips: 29.1415 images/s [10/14 04:44:09] ppdet.engine INFO: Epoch: [60] [ 60/366] learning_rate: 0.361601 loss_vfl: 0.936643 loss_bbox: 0.350895 loss_dfl: 0.209343 loss: 1.506406 eta: 2 days, 20:13:05 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0924 images/s [10/14 04:45:07] ppdet.engine INFO: Epoch: [60] [ 80/366] learning_rate: 0.361534 loss_vfl: 0.941949 loss_bbox: 0.326739 loss_dfl: 0.202679 loss: 1.478291 eta: 2 days, 20:12:07 batch_cost: 2.7699 data_cost: 0.0016 ips: 28.8819 images/s [10/14 04:46:06] ppdet.engine INFO: Epoch: [60] [100/366] learning_rate: 0.361466 loss_vfl: 0.944514 loss_bbox: 0.329015 loss_dfl: 0.197582 loss: 1.482821 eta: 2 days, 20:11:09 batch_cost: 2.7801 data_cost: 0.0016 ips: 28.7762 images/s [10/14 04:47:05] ppdet.engine INFO: Epoch: [60] [120/366] learning_rate: 0.361399 loss_vfl: 0.946172 loss_bbox: 0.330893 loss_dfl: 0.198407 loss: 1.491480 eta: 2 days, 20:10:12 batch_cost: 2.7810 data_cost: 0.0016 ips: 28.7665 images/s [10/14 04:48:03] ppdet.engine INFO: Epoch: [60] [140/366] learning_rate: 0.361331 loss_vfl: 0.951912 loss_bbox: 0.334527 loss_dfl: 0.203478 loss: 1.483303 eta: 2 days, 20:09:13 batch_cost: 2.7608 data_cost: 0.0016 ips: 28.9774 images/s [10/14 04:49:00] ppdet.engine INFO: Epoch: [60] [160/366] learning_rate: 0.361264 loss_vfl: 0.943854 loss_bbox: 0.331627 loss_dfl: 0.199608 loss: 1.477716 eta: 2 days, 20:08:09 batch_cost: 2.6988 data_cost: 0.0016 ips: 29.6427 images/s [10/14 04:49:57] ppdet.engine INFO: Epoch: [60] [180/366] learning_rate: 0.361196 loss_vfl: 0.942492 loss_bbox: 0.335839 loss_dfl: 0.211315 loss: 1.512070 eta: 2 days, 20:07:07 batch_cost: 2.7138 data_cost: 0.0016 ips: 29.4789 images/s [10/14 04:50:56] ppdet.engine INFO: Epoch: [60] [200/366] learning_rate: 0.361128 loss_vfl: 0.921542 loss_bbox: 0.344337 loss_dfl: 0.208746 loss: 1.495141 eta: 2 days, 20:06:10 batch_cost: 2.7866 data_cost: 0.0018 ips: 28.7093 images/s [10/14 04:51:55] ppdet.engine INFO: Epoch: [60] [220/366] learning_rate: 0.361060 loss_vfl: 0.938531 loss_bbox: 0.347792 loss_dfl: 0.205494 loss: 1.479476 eta: 2 days, 20:05:11 batch_cost: 2.7648 data_cost: 0.0016 ips: 28.9357 images/s [10/14 04:52:54] ppdet.engine INFO: Epoch: [60] [240/366] learning_rate: 0.360992 loss_vfl: 0.947686 loss_bbox: 0.332925 loss_dfl: 0.195528 loss: 1.452444 eta: 2 days, 20:04:15 batch_cost: 2.7965 data_cost: 0.0016 ips: 28.6073 images/s [10/14 04:53:52] ppdet.engine INFO: Epoch: [60] [260/366] learning_rate: 0.360924 loss_vfl: 0.955564 loss_bbox: 0.327093 loss_dfl: 0.199911 loss: 1.469553 eta: 2 days, 20:03:19 batch_cost: 2.7966 data_cost: 0.0016 ips: 28.6057 images/s [10/14 04:54:51] ppdet.engine INFO: Epoch: [60] [280/366] learning_rate: 0.360856 loss_vfl: 0.923900 loss_bbox: 0.331198 loss_dfl: 0.196121 loss: 1.446514 eta: 2 days, 20:02:19 batch_cost: 2.7444 data_cost: 0.0016 ips: 29.1499 images/s [10/14 04:55:48] ppdet.engine INFO: Epoch: [60] [300/366] learning_rate: 0.360788 loss_vfl: 0.932204 loss_bbox: 0.335868 loss_dfl: 0.206141 loss: 1.487938 eta: 2 days, 20:01:15 batch_cost: 2.6961 data_cost: 0.0016 ips: 29.6728 images/s [10/14 04:56:46] ppdet.engine INFO: Epoch: [60] [320/366] learning_rate: 0.360720 loss_vfl: 0.948258 loss_bbox: 0.319889 loss_dfl: 0.196206 loss: 1.450977 eta: 2 days, 20:00:17 batch_cost: 2.7700 data_cost: 0.0016 ips: 28.8811 images/s [10/14 04:57:43] ppdet.engine INFO: Epoch: [60] [340/366] learning_rate: 0.360652 loss_vfl: 0.943728 loss_bbox: 0.338693 loss_dfl: 0.200173 loss: 1.489956 eta: 2 days, 19:59:15 batch_cost: 2.7201 data_cost: 0.0015 ips: 29.4107 images/s [10/14 04:58:37] ppdet.engine INFO: Epoch: [60] [360/366] learning_rate: 0.360584 loss_vfl: 0.957877 loss_bbox: 0.316217 loss_dfl: 0.196901 loss: 1.462975 eta: 2 days, 19:57:58 batch_cost: 2.5332 data_cost: 0.0015 ips: 31.5804 images/s [10/14 04:59:16] ppdet.engine INFO: Epoch: [61] [ 0/366] learning_rate: 0.360563 loss_vfl: 0.957877 loss_bbox: 0.319414 loss_dfl: 0.196987 loss: 1.459111 eta: 2 days, 19:58:52 batch_cost: 3.4238 data_cost: 0.6231 ips: 23.3662 images/s [10/14 05:00:15] ppdet.engine INFO: Epoch: [61] [ 20/366] learning_rate: 0.360495 loss_vfl: 0.943332 loss_bbox: 0.340772 loss_dfl: 0.209025 loss: 1.507498 eta: 2 days, 19:57:58 batch_cost: 2.8249 data_cost: 0.0035 ips: 28.3192 images/s [10/14 05:01:16] ppdet.engine INFO: Epoch: [61] [ 40/366] learning_rate: 0.360427 loss_vfl: 0.953426 loss_bbox: 0.343030 loss_dfl: 0.203156 loss: 1.492248 eta: 2 days, 19:57:08 batch_cost: 2.8668 data_cost: 0.0022 ips: 27.9057 images/s [10/14 05:02:15] ppdet.engine INFO: Epoch: [61] [ 60/366] learning_rate: 0.360359 loss_vfl: 0.947558 loss_bbox: 0.338457 loss_dfl: 0.200193 loss: 1.481206 eta: 2 days, 19:56:12 batch_cost: 2.8059 data_cost: 0.0020 ips: 28.5109 images/s [10/14 05:03:15] ppdet.engine INFO: Epoch: [61] [ 80/366] learning_rate: 0.360290 loss_vfl: 0.967788 loss_bbox: 0.328533 loss_dfl: 0.196785 loss: 1.476881 eta: 2 days, 19:55:20 batch_cost: 2.8488 data_cost: 0.0026 ips: 28.0818 images/s [10/14 05:04:13] ppdet.engine INFO: Epoch: [61] [100/366] learning_rate: 0.360222 loss_vfl: 0.948909 loss_bbox: 0.323115 loss_dfl: 0.199179 loss: 1.468099 eta: 2 days, 19:54:23 batch_cost: 2.7761 data_cost: 0.0023 ips: 28.8170 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[200/366] learning_rate: 0.359879 loss_vfl: 0.947017 loss_bbox: 0.335326 loss_dfl: 0.204062 loss: 1.483277 eta: 2 days, 19:49:35 batch_cost: 2.7399 data_cost: 0.0018 ips: 29.1983 images/s [10/14 05:10:06] ppdet.engine INFO: Epoch: [61] [220/366] learning_rate: 0.359810 loss_vfl: 0.959999 loss_bbox: 0.341270 loss_dfl: 0.201030 loss: 1.487745 eta: 2 days, 19:48:39 batch_cost: 2.7961 data_cost: 0.0017 ips: 28.6115 images/s [10/14 05:11:04] ppdet.engine INFO: Epoch: [61] [240/366] learning_rate: 0.359741 loss_vfl: 0.943632 loss_bbox: 0.341839 loss_dfl: 0.210870 loss: 1.480864 eta: 2 days, 19:47:40 batch_cost: 2.7627 data_cost: 0.0017 ips: 28.9572 images/s [10/14 05:12:01] ppdet.engine INFO: Epoch: [61] [260/366] learning_rate: 0.359672 loss_vfl: 0.949219 loss_bbox: 0.317797 loss_dfl: 0.196965 loss: 1.467019 eta: 2 days, 19:46:40 batch_cost: 2.7371 data_cost: 0.0016 ips: 29.2280 images/s [10/14 05:12:59] ppdet.engine INFO: Epoch: [61] [280/366] learning_rate: 0.359603 loss_vfl: 0.936554 loss_bbox: 0.343864 loss_dfl: 0.210900 loss: 1.497468 eta: 2 days, 19:45:39 batch_cost: 2.7290 data_cost: 0.0016 ips: 29.3153 images/s [10/14 05:13:56] ppdet.engine INFO: Epoch: [61] [300/366] learning_rate: 0.359534 loss_vfl: 0.950919 loss_bbox: 0.330571 loss_dfl: 0.204421 loss: 1.480507 eta: 2 days, 19:44:36 batch_cost: 2.7130 data_cost: 0.0017 ips: 29.4880 images/s [10/14 05:14:54] ppdet.engine INFO: Epoch: [61] [320/366] learning_rate: 0.359465 loss_vfl: 0.965341 loss_bbox: 0.321709 loss_dfl: 0.200686 loss: 1.494867 eta: 2 days, 19:43:38 batch_cost: 2.7669 data_cost: 0.0017 ips: 28.9131 images/s [10/14 05:15:52] ppdet.engine INFO: Epoch: [61] [340/366] learning_rate: 0.359396 loss_vfl: 0.940583 loss_bbox: 0.333109 loss_dfl: 0.204972 loss: 1.491971 eta: 2 days, 19:42:36 batch_cost: 2.7185 data_cost: 0.0016 ips: 29.4278 images/s [10/14 05:16:45] ppdet.engine INFO: Epoch: [61] [360/366] learning_rate: 0.359327 loss_vfl: 0.972600 loss_bbox: 0.343586 loss_dfl: 0.204920 loss: 1.530931 eta: 2 days, 19:41:18 batch_cost: 2.5164 data_cost: 0.0016 ips: 31.7918 images/s [10/14 05:17:21] ppdet.engine INFO: Epoch: [62] [ 0/366] learning_rate: 0.359306 loss_vfl: 0.967192 loss_bbox: 0.329471 loss_dfl: 0.200547 loss: 1.491107 eta: 2 days, 19:42:01 batch_cost: 3.2973 data_cost: 0.4079 ips: 24.2625 images/s [10/14 05:18:21] ppdet.engine INFO: Epoch: [62] [ 20/366] learning_rate: 0.359237 loss_vfl: 0.949068 loss_bbox: 0.340532 loss_dfl: 0.199989 loss: 1.475353 eta: 2 days, 19:41:06 batch_cost: 2.8044 data_cost: 0.0017 ips: 28.5261 images/s [10/14 05:19:20] ppdet.engine INFO: Epoch: [62] [ 40/366] learning_rate: 0.359167 loss_vfl: 0.939541 loss_bbox: 0.328929 loss_dfl: 0.197649 loss: 1.459840 eta: 2 days, 19:40:10 batch_cost: 2.8012 data_cost: 0.0017 ips: 28.5595 images/s [10/14 05:20:17] ppdet.engine INFO: Epoch: [62] [ 60/366] learning_rate: 0.359098 loss_vfl: 0.946927 loss_bbox: 0.329441 loss_dfl: 0.194245 loss: 1.499004 eta: 2 days, 19:39:05 batch_cost: 2.6828 data_cost: 0.0016 ips: 29.8195 images/s [10/14 05:21:16] ppdet.engine INFO: Epoch: [62] [ 80/366] learning_rate: 0.359029 loss_vfl: 0.934397 loss_bbox: 0.321291 loss_dfl: 0.195174 loss: 1.446549 eta: 2 days, 19:38:12 batch_cost: 2.8314 data_cost: 0.0016 ips: 28.2544 images/s [10/14 05:22:14] ppdet.engine INFO: Epoch: [62] [100/366] learning_rate: 0.358959 loss_vfl: 0.934391 loss_bbox: 0.328067 loss_dfl: 0.197624 loss: 1.472901 eta: 2 days, 19:37:12 batch_cost: 2.7385 data_cost: 0.0016 ips: 29.2136 images/s [10/14 05:23:13] ppdet.engine INFO: Epoch: [62] [120/366] learning_rate: 0.358890 loss_vfl: 0.951104 loss_bbox: 0.333342 loss_dfl: 0.203740 loss: 1.480172 eta: 2 days, 19:36:15 batch_cost: 2.7865 data_cost: 0.0016 ips: 28.7096 images/s [10/14 05:24:11] ppdet.engine INFO: Epoch: [62] [140/366] learning_rate: 0.358820 loss_vfl: 0.944535 loss_bbox: 0.344059 loss_dfl: 0.208312 loss: 1.488940 eta: 2 days, 19:35:15 batch_cost: 2.7512 data_cost: 0.0016 ips: 29.0778 images/s [10/14 05:25:07] ppdet.engine INFO: Epoch: [62] [160/366] learning_rate: 0.358751 loss_vfl: 0.954488 loss_bbox: 0.322158 loss_dfl: 0.204642 loss: 1.477037 eta: 2 days, 19:34:10 batch_cost: 2.6815 data_cost: 0.0015 ips: 29.8339 images/s [10/14 05:26:05] ppdet.engine INFO: Epoch: [62] [180/366] learning_rate: 0.358681 loss_vfl: 0.951954 loss_bbox: 0.327226 loss_dfl: 0.202619 loss: 1.493800 eta: 2 days, 19:33:11 batch_cost: 2.7511 data_cost: 0.0015 ips: 29.0796 images/s [10/14 05:27:02] ppdet.engine INFO: Epoch: [62] [200/366] learning_rate: 0.358611 loss_vfl: 0.956679 loss_bbox: 0.345925 loss_dfl: 0.207907 loss: 1.501789 eta: 2 days, 19:32:09 batch_cost: 2.7163 data_cost: 0.0015 ips: 29.4513 images/s [10/14 05:27:59] ppdet.engine INFO: Epoch: [62] [220/366] learning_rate: 0.358542 loss_vfl: 0.935086 loss_bbox: 0.330510 loss_dfl: 0.203638 loss: 1.477536 eta: 2 days, 19:31:05 batch_cost: 2.6940 data_cost: 0.0016 ips: 29.6953 images/s [10/14 05:28:56] ppdet.engine INFO: Epoch: [62] [240/366] learning_rate: 0.358472 loss_vfl: 0.955106 loss_bbox: 0.338555 loss_dfl: 0.203837 loss: 1.495965 eta: 2 days, 19:30:01 batch_cost: 2.6905 data_cost: 0.0016 ips: 29.7342 images/s [10/14 05:29:53] ppdet.engine INFO: Epoch: [62] [260/366] learning_rate: 0.358402 loss_vfl: 0.924141 loss_bbox: 0.342403 loss_dfl: 0.210650 loss: 1.484830 eta: 2 days, 19:28:58 batch_cost: 2.7031 data_cost: 0.0016 ips: 29.5961 images/s [10/14 05:30:51] ppdet.engine INFO: Epoch: [62] [280/366] learning_rate: 0.358332 loss_vfl: 0.944359 loss_bbox: 0.338600 loss_dfl: 0.201700 loss: 1.484624 eta: 2 days, 19:28:00 batch_cost: 2.7764 data_cost: 0.0016 ips: 28.8143 images/s [10/14 05:31:49] ppdet.engine INFO: Epoch: [62] [300/366] learning_rate: 0.358262 loss_vfl: 0.939819 loss_bbox: 0.329770 loss_dfl: 0.204119 loss: 1.460114 eta: 2 days, 19:27:01 batch_cost: 2.7560 data_cost: 0.0015 ips: 29.0272 images/s [10/14 05:32:47] ppdet.engine INFO: Epoch: [62] [320/366] learning_rate: 0.358192 loss_vfl: 0.931138 loss_bbox: 0.340876 loss_dfl: 0.208770 loss: 1.477099 eta: 2 days, 19:26:03 batch_cost: 2.7652 data_cost: 0.0016 ips: 28.9312 images/s [10/14 05:33:45] ppdet.engine INFO: Epoch: [62] [340/366] learning_rate: 0.358122 loss_vfl: 0.940941 loss_bbox: 0.339873 loss_dfl: 0.206007 loss: 1.490824 eta: 2 days, 19:25:02 batch_cost: 2.7366 data_cost: 0.0017 ips: 29.2330 images/s [10/14 05:34:40] ppdet.engine INFO: Epoch: [62] [360/366] learning_rate: 0.358052 loss_vfl: 0.935552 loss_bbox: 0.334146 loss_dfl: 0.203784 loss: 1.490258 eta: 2 days, 19:23:53 batch_cost: 2.6192 data_cost: 0.0016 ips: 30.5438 images/s [10/14 05:35:17] ppdet.engine INFO: Epoch: [63] [ 0/366] learning_rate: 0.358031 loss_vfl: 0.932170 loss_bbox: 0.340406 loss_dfl: 0.203423 loss: 1.481796 eta: 2 days, 19:24:36 batch_cost: 3.4185 data_cost: 0.3880 ips: 23.4018 images/s [10/14 05:36:17] ppdet.engine INFO: Epoch: [63] [ 20/366] learning_rate: 0.357961 loss_vfl: 0.948227 loss_bbox: 0.347038 loss_dfl: 0.214674 loss: 1.517386 eta: 2 days, 19:23:44 batch_cost: 2.8444 data_cost: 0.0018 ips: 28.1254 images/s [10/14 05:37:16] ppdet.engine INFO: Epoch: [63] [ 40/366] learning_rate: 0.357891 loss_vfl: 0.950056 loss_bbox: 0.333213 loss_dfl: 0.199262 loss: 1.473574 eta: 2 days, 19:22:47 batch_cost: 2.7893 data_cost: 0.0017 ips: 28.6805 images/s [10/14 05:38:14] ppdet.engine INFO: Epoch: [63] [ 60/366] learning_rate: 0.357820 loss_vfl: 0.959052 loss_bbox: 0.330160 loss_dfl: 0.202718 loss: 1.498347 eta: 2 days, 19:21:48 batch_cost: 2.7544 data_cost: 0.0016 ips: 29.0448 images/s [10/14 05:39:12] ppdet.engine INFO: Epoch: [63] [ 80/366] learning_rate: 0.357750 loss_vfl: 0.944373 loss_bbox: 0.327694 loss_dfl: 0.207889 loss: 1.469020 eta: 2 days, 19:20:50 batch_cost: 2.7697 data_cost: 0.0015 ips: 28.8843 images/s [10/14 05:40:11] ppdet.engine INFO: Epoch: [63] [100/366] learning_rate: 0.357680 loss_vfl: 0.930487 loss_bbox: 0.346747 loss_dfl: 0.202591 loss: 1.495364 eta: 2 days, 19:19:51 batch_cost: 2.7580 data_cost: 0.0016 ips: 29.0066 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[200/366] learning_rate: 0.357327 loss_vfl: 0.958970 loss_bbox: 0.335373 loss_dfl: 0.205896 loss: 1.494625 eta: 2 days, 19:14:38 batch_cost: 2.7049 data_cost: 0.0015 ips: 29.5760 images/s [10/14 05:45:53] ppdet.engine INFO: Epoch: [63] [220/366] learning_rate: 0.357256 loss_vfl: 0.955557 loss_bbox: 0.345043 loss_dfl: 0.201810 loss: 1.493170 eta: 2 days, 19:13:36 batch_cost: 2.7090 data_cost: 0.0016 ips: 29.5308 images/s [10/14 05:46:50] ppdet.engine INFO: Epoch: [63] [240/366] learning_rate: 0.357186 loss_vfl: 0.939834 loss_bbox: 0.320680 loss_dfl: 0.189965 loss: 1.440258 eta: 2 days, 19:12:32 batch_cost: 2.6958 data_cost: 0.0016 ips: 29.6758 images/s [10/14 05:47:48] ppdet.engine INFO: Epoch: [63] [260/366] learning_rate: 0.357115 loss_vfl: 0.958674 loss_bbox: 0.336367 loss_dfl: 0.202444 loss: 1.505889 eta: 2 days, 19:11:33 batch_cost: 2.7494 data_cost: 0.0016 ips: 29.0971 images/s [10/14 05:48:45] ppdet.engine INFO: Epoch: [63] [280/366] learning_rate: 0.357044 loss_vfl: 0.943841 loss_bbox: 0.338611 loss_dfl: 0.202206 loss: 1.497115 eta: 2 days, 19:10:33 batch_cost: 2.7447 data_cost: 0.0016 ips: 29.1471 images/s [10/14 05:49:43] ppdet.engine INFO: Epoch: [63] [300/366] learning_rate: 0.356973 loss_vfl: 0.950514 loss_bbox: 0.353426 loss_dfl: 0.204074 loss: 1.490552 eta: 2 days, 19:09:34 batch_cost: 2.7544 data_cost: 0.0016 ips: 29.0440 images/s [10/14 05:50:41] ppdet.engine INFO: Epoch: [63] [320/366] learning_rate: 0.356902 loss_vfl: 0.942903 loss_bbox: 0.335071 loss_dfl: 0.208135 loss: 1.504266 eta: 2 days, 19:08:32 batch_cost: 2.7188 data_cost: 0.0016 ips: 29.4246 images/s [10/14 05:51:39] ppdet.engine INFO: Epoch: [63] [340/366] learning_rate: 0.356831 loss_vfl: 0.946697 loss_bbox: 0.341958 loss_dfl: 0.206276 loss: 1.500818 eta: 2 days, 19:07:34 batch_cost: 2.7628 data_cost: 0.0016 ips: 28.9562 images/s [10/14 05:52:31] ppdet.engine INFO: Epoch: [63] [360/366] learning_rate: 0.356760 loss_vfl: 0.954172 loss_bbox: 0.341314 loss_dfl: 0.207588 loss: 1.509250 eta: 2 days, 19:06:14 batch_cost: 2.4675 data_cost: 0.0015 ips: 32.4220 images/s [10/14 05:53:07] ppdet.engine INFO: Epoch: [64] [ 0/366] learning_rate: 0.356739 loss_vfl: 0.951766 loss_bbox: 0.339179 loss_dfl: 0.208278 loss: 1.505613 eta: 2 days, 19:06:51 batch_cost: 3.2706 data_cost: 0.5015 ips: 24.4604 images/s [10/14 05:54:07] ppdet.engine INFO: Epoch: [64] [ 20/366] learning_rate: 0.356668 loss_vfl: 0.932311 loss_bbox: 0.344158 loss_dfl: 0.204001 loss: 1.474677 eta: 2 days, 19:06:01 batch_cost: 2.8688 data_cost: 0.0016 ips: 27.8858 images/s [10/14 05:55:06] ppdet.engine INFO: Epoch: [64] [ 40/366] learning_rate: 0.356596 loss_vfl: 0.927931 loss_bbox: 0.351388 loss_dfl: 0.207631 loss: 1.476811 eta: 2 days, 19:05:04 batch_cost: 2.7826 data_cost: 0.0016 ips: 28.7501 images/s [10/14 05:56:05] ppdet.engine INFO: Epoch: [64] [ 60/366] learning_rate: 0.356525 loss_vfl: 0.934260 loss_bbox: 0.331950 loss_dfl: 0.202305 loss: 1.472981 eta: 2 days, 19:04:10 batch_cost: 2.8331 data_cost: 0.0016 ips: 28.2372 images/s [10/14 05:57:03] ppdet.engine INFO: Epoch: [64] [ 80/366] learning_rate: 0.356454 loss_vfl: 0.947278 loss_bbox: 0.339377 loss_dfl: 0.202699 loss: 1.464386 eta: 2 days, 19:03:12 batch_cost: 2.7598 data_cost: 0.0016 ips: 28.9877 images/s [10/14 05:58:01] ppdet.engine INFO: Epoch: [64] [100/366] learning_rate: 0.356383 loss_vfl: 0.940843 loss_bbox: 0.328200 loss_dfl: 0.205322 loss: 1.471903 eta: 2 days, 19:02:11 batch_cost: 2.7299 data_cost: 0.0016 ips: 29.3052 images/s [10/14 05:59:01] ppdet.engine INFO: Epoch: [64] [120/366] learning_rate: 0.356311 loss_vfl: 0.931146 loss_bbox: 0.326203 loss_dfl: 0.196840 loss: 1.452990 eta: 2 days, 19:01:20 batch_cost: 2.8708 data_cost: 0.0016 ips: 27.8672 images/s [10/14 06:00:00] ppdet.engine INFO: Epoch: [64] [140/366] learning_rate: 0.356240 loss_vfl: 0.951344 loss_bbox: 0.330283 loss_dfl: 0.200050 loss: 1.475684 eta: 2 days, 19:00:22 batch_cost: 2.7677 data_cost: 0.0016 ips: 28.9054 images/s [10/14 06:00:58] ppdet.engine INFO: Epoch: [64] [160/366] learning_rate: 0.356168 loss_vfl: 0.938616 loss_bbox: 0.318299 loss_dfl: 0.198374 loss: 1.449642 eta: 2 days, 18:59:24 batch_cost: 2.7695 data_cost: 0.0016 ips: 28.8862 images/s [10/14 06:01:57] ppdet.engine INFO: Epoch: [64] [180/366] learning_rate: 0.356097 loss_vfl: 0.934267 loss_bbox: 0.332570 loss_dfl: 0.203688 loss: 1.474290 eta: 2 days, 18:58:27 batch_cost: 2.7762 data_cost: 0.0017 ips: 28.8164 images/s [10/14 06:02:55] ppdet.engine INFO: Epoch: [64] [200/366] learning_rate: 0.356025 loss_vfl: 0.931635 loss_bbox: 0.354035 loss_dfl: 0.207421 loss: 1.494558 eta: 2 days, 18:57:31 batch_cost: 2.7978 data_cost: 0.0016 ips: 28.5940 images/s [10/14 06:03:54] ppdet.engine INFO: Epoch: [64] [220/366] learning_rate: 0.355954 loss_vfl: 0.941427 loss_bbox: 0.337641 loss_dfl: 0.205620 loss: 1.488973 eta: 2 days, 18:56:33 batch_cost: 2.7760 data_cost: 0.0016 ips: 28.8187 images/s [10/14 06:04:52] ppdet.engine INFO: Epoch: [64] [240/366] learning_rate: 0.355882 loss_vfl: 0.927962 loss_bbox: 0.332199 loss_dfl: 0.198188 loss: 1.463228 eta: 2 days, 18:55:36 batch_cost: 2.7753 data_cost: 0.0015 ips: 28.8259 images/s [10/14 06:05:50] ppdet.engine INFO: Epoch: [64] [260/366] learning_rate: 0.355810 loss_vfl: 0.928476 loss_bbox: 0.342726 loss_dfl: 0.205566 loss: 1.491307 eta: 2 days, 18:54:37 batch_cost: 2.7561 data_cost: 0.0016 ips: 29.0264 images/s [10/14 06:06:48] ppdet.engine INFO: Epoch: [64] [280/366] learning_rate: 0.355738 loss_vfl: 0.936807 loss_bbox: 0.331280 loss_dfl: 0.200436 loss: 1.469811 eta: 2 days, 18:53:38 batch_cost: 2.7602 data_cost: 0.0016 ips: 28.9833 images/s [10/14 06:07:48] ppdet.engine INFO: Epoch: [64] [300/366] learning_rate: 0.355667 loss_vfl: 0.948715 loss_bbox: 0.327563 loss_dfl: 0.198081 loss: 1.489916 eta: 2 days, 18:52:45 batch_cost: 2.8334 data_cost: 0.0016 ips: 28.2347 images/s [10/14 06:08:47] ppdet.engine INFO: Epoch: [64] [320/366] learning_rate: 0.355595 loss_vfl: 0.947634 loss_bbox: 0.323498 loss_dfl: 0.203078 loss: 1.490725 eta: 2 days, 18:51:47 batch_cost: 2.7728 data_cost: 0.0016 ips: 28.8513 images/s [10/14 06:09:46] ppdet.engine INFO: Epoch: [64] [340/366] learning_rate: 0.355523 loss_vfl: 0.932926 loss_bbox: 0.339001 loss_dfl: 0.205783 loss: 1.467599 eta: 2 days, 18:50:55 batch_cost: 2.8428 data_cost: 0.0017 ips: 28.1413 images/s [10/14 06:10:41] ppdet.engine INFO: Epoch: [64] [360/366] learning_rate: 0.355451 loss_vfl: 0.951615 loss_bbox: 0.334181 loss_dfl: 0.202224 loss: 1.486148 eta: 2 days, 18:49:44 batch_cost: 2.5980 data_cost: 0.0015 ips: 30.7926 images/s [10/14 06:11:14] ppdet.engine INFO: Epoch: [65] [ 0/366] learning_rate: 0.355429 loss_vfl: 0.952306 loss_bbox: 0.344056 loss_dfl: 0.208626 loss: 1.493546 eta: 2 days, 18:50:09 batch_cost: 3.1550 data_cost: 0.3977 ips: 25.3569 images/s [10/14 06:12:17] ppdet.engine INFO: Epoch: [65] [ 20/366] learning_rate: 0.355357 loss_vfl: 0.953065 loss_bbox: 0.354161 loss_dfl: 0.213980 loss: 1.529101 eta: 2 days, 18:49:26 batch_cost: 2.9839 data_cost: 0.0028 ips: 26.8109 images/s [10/14 06:13:17] ppdet.engine INFO: Epoch: [65] [ 40/366] learning_rate: 0.355285 loss_vfl: 0.927933 loss_bbox: 0.352145 loss_dfl: 0.209929 loss: 1.488193 eta: 2 days, 18:48:31 batch_cost: 2.8123 data_cost: 0.0026 ips: 28.4462 images/s [10/14 06:14:17] ppdet.engine INFO: Epoch: [65] [ 60/366] learning_rate: 0.355213 loss_vfl: 0.944682 loss_bbox: 0.335226 loss_dfl: 0.203330 loss: 1.483867 eta: 2 days, 18:47:39 batch_cost: 2.8506 data_cost: 0.0021 ips: 28.0640 images/s [10/14 06:15:15] ppdet.engine INFO: Epoch: [65] [ 80/366] learning_rate: 0.355141 loss_vfl: 0.929396 loss_bbox: 0.355988 loss_dfl: 0.207681 loss: 1.500072 eta: 2 days, 18:46:39 batch_cost: 2.7390 data_cost: 0.0023 ips: 29.2078 images/s [10/14 06:16:13] ppdet.engine INFO: Epoch: [65] [100/366] learning_rate: 0.355068 loss_vfl: 0.937487 loss_bbox: 0.322088 loss_dfl: 0.199948 loss: 1.463101 eta: 2 days, 18:45:42 batch_cost: 2.7815 data_cost: 0.0023 ips: 28.7619 images/s [10/14 06:17:12] ppdet.engine INFO: Epoch: [65] [120/366] learning_rate: 0.354996 loss_vfl: 0.956415 loss_bbox: 0.317418 loss_dfl: 0.198226 loss: 1.471589 eta: 2 days, 18:44:46 batch_cost: 2.7965 data_cost: 0.0020 ips: 28.6074 images/s [10/14 06:18:12] ppdet.engine INFO: Epoch: [65] [140/366] learning_rate: 0.354924 loss_vfl: 0.934975 loss_bbox: 0.346295 loss_dfl: 0.208919 loss: 1.491960 eta: 2 days, 18:43:52 batch_cost: 2.8264 data_cost: 0.0021 ips: 28.3046 images/s [10/14 06:19:09] ppdet.engine INFO: Epoch: [65] [160/366] learning_rate: 0.354851 loss_vfl: 0.938635 loss_bbox: 0.331922 loss_dfl: 0.195570 loss: 1.456264 eta: 2 days, 18:42:50 batch_cost: 2.7143 data_cost: 0.0023 ips: 29.4733 images/s [10/14 06:20:08] ppdet.engine INFO: Epoch: [65] [180/366] learning_rate: 0.354779 loss_vfl: 0.940382 loss_bbox: 0.348821 loss_dfl: 0.203794 loss: 1.491630 eta: 2 days, 18:41:54 batch_cost: 2.7977 data_cost: 0.0018 ips: 28.5954 images/s [10/14 06:21:06] ppdet.engine INFO: Epoch: [65] [200/366] learning_rate: 0.354706 loss_vfl: 0.937166 loss_bbox: 0.334666 loss_dfl: 0.200857 loss: 1.471422 eta: 2 days, 18:40:56 batch_cost: 2.7739 data_cost: 0.0017 ips: 28.8405 images/s [10/14 06:22:05] ppdet.engine INFO: Epoch: [65] [220/366] learning_rate: 0.354634 loss_vfl: 0.945260 loss_bbox: 0.320292 loss_dfl: 0.193265 loss: 1.443227 eta: 2 days, 18:39:59 batch_cost: 2.7813 data_cost: 0.0016 ips: 28.7640 images/s [10/14 06:23:03] ppdet.engine INFO: Epoch: [65] [240/366] learning_rate: 0.354561 loss_vfl: 0.936992 loss_bbox: 0.357001 loss_dfl: 0.209904 loss: 1.516602 eta: 2 days, 18:39:01 batch_cost: 2.7675 data_cost: 0.0016 ips: 28.9067 images/s [10/14 06:24:02] ppdet.engine INFO: Epoch: [65] [260/366] learning_rate: 0.354489 loss_vfl: 0.960717 loss_bbox: 0.328288 loss_dfl: 0.208051 loss: 1.481878 eta: 2 days, 18:38:05 batch_cost: 2.8004 data_cost: 0.0017 ips: 28.5678 images/s [10/14 06:25:00] ppdet.engine INFO: Epoch: [65] [280/366] learning_rate: 0.354416 loss_vfl: 0.943041 loss_bbox: 0.341631 loss_dfl: 0.205095 loss: 1.491880 eta: 2 days, 18:37:05 batch_cost: 2.7400 data_cost: 0.0016 ips: 29.1967 images/s [10/14 06:25:57] ppdet.engine INFO: Epoch: [65] [300/366] learning_rate: 0.354343 loss_vfl: 0.942171 loss_bbox: 0.346889 loss_dfl: 0.208042 loss: 1.493120 eta: 2 days, 18:36:04 batch_cost: 2.7216 data_cost: 0.0016 ips: 29.3947 images/s [10/14 06:26:55] ppdet.engine INFO: Epoch: [65] [320/366] learning_rate: 0.354270 loss_vfl: 0.948858 loss_bbox: 0.319044 loss_dfl: 0.192754 loss: 1.465582 eta: 2 days, 18:35:07 batch_cost: 2.7785 data_cost: 0.0016 ips: 28.7928 images/s [10/14 06:27:54] ppdet.engine INFO: Epoch: [65] [340/366] learning_rate: 0.354197 loss_vfl: 0.932598 loss_bbox: 0.333885 loss_dfl: 0.196491 loss: 1.477127 eta: 2 days, 18:34:07 batch_cost: 2.7490 data_cost: 0.0016 ips: 29.1010 images/s [10/14 06:28:47] ppdet.engine INFO: Epoch: [65] [360/366] learning_rate: 0.354125 loss_vfl: 0.964769 loss_bbox: 0.341942 loss_dfl: 0.200758 loss: 1.490145 eta: 2 days, 18:32:53 batch_cost: 2.5333 data_cost: 0.0015 ips: 31.5798 images/s [10/14 06:29:23] ppdet.engine INFO: Epoch: [66] [ 0/366] learning_rate: 0.354103 loss_vfl: 0.948287 loss_bbox: 0.339930 loss_dfl: 0.205362 loss: 1.498867 eta: 2 days, 18:33:27 batch_cost: 3.2263 data_cost: 0.4142 ips: 24.7966 images/s [10/14 06:30:23] ppdet.engine INFO: Epoch: [66] [ 20/366] learning_rate: 0.354030 loss_vfl: 0.930787 loss_bbox: 0.324226 loss_dfl: 0.196989 loss: 1.458271 eta: 2 days, 18:32:35 batch_cost: 2.8569 data_cost: 0.0018 ips: 28.0026 images/s [10/14 06:31:21] ppdet.engine INFO: Epoch: [66] [ 40/366] learning_rate: 0.353957 loss_vfl: 0.918811 loss_bbox: 0.348771 loss_dfl: 0.206807 loss: 1.471088 eta: 2 days, 18:31:36 batch_cost: 2.7627 data_cost: 0.0020 ips: 28.9575 images/s [10/14 06:32:19] ppdet.engine INFO: Epoch: [66] [ 60/366] learning_rate: 0.353884 loss_vfl: 0.947160 loss_bbox: 0.329714 loss_dfl: 0.201082 loss: 1.475488 eta: 2 days, 18:30:39 batch_cost: 2.7720 data_cost: 0.0017 ips: 28.8600 images/s [10/14 06:33:18] ppdet.engine INFO: Epoch: [66] [ 80/366] learning_rate: 0.353810 loss_vfl: 0.944121 loss_bbox: 0.317648 loss_dfl: 0.193152 loss: 1.459873 eta: 2 days, 18:29:41 batch_cost: 2.7788 data_cost: 0.0016 ips: 28.7898 images/s [10/14 06:34:17] ppdet.engine INFO: Epoch: [66] [100/366] learning_rate: 0.353737 loss_vfl: 0.959590 loss_bbox: 0.346263 loss_dfl: 0.206600 loss: 1.476275 eta: 2 days, 18:28:45 batch_cost: 2.7969 data_cost: 0.0016 ips: 28.6035 images/s [10/14 06:35:15] ppdet.engine INFO: Epoch: [66] [120/366] learning_rate: 0.353664 loss_vfl: 0.938361 loss_bbox: 0.335667 loss_dfl: 0.203394 loss: 1.494490 eta: 2 days, 18:27:46 batch_cost: 2.7544 data_cost: 0.0016 ips: 29.0441 images/s [10/14 06:36:12] ppdet.engine INFO: Epoch: [66] [140/366] learning_rate: 0.353591 loss_vfl: 0.935353 loss_bbox: 0.329971 loss_dfl: 0.200754 loss: 1.469523 eta: 2 days, 18:26:43 batch_cost: 2.6937 data_cost: 0.0017 ips: 29.6989 images/s [10/14 06:37:10] ppdet.engine INFO: Epoch: [66] [160/366] learning_rate: 0.353517 loss_vfl: 0.951238 loss_bbox: 0.359982 loss_dfl: 0.208798 loss: 1.522000 eta: 2 days, 18:25:45 batch_cost: 2.7746 data_cost: 0.0016 ips: 28.8326 images/s [10/14 06:38:07] ppdet.engine INFO: Epoch: [66] [180/366] learning_rate: 0.353444 loss_vfl: 0.951155 loss_bbox: 0.329850 loss_dfl: 0.192249 loss: 1.470386 eta: 2 days, 18:24:45 batch_cost: 2.7270 data_cost: 0.0016 ips: 29.3367 images/s [10/14 06:39:05] ppdet.engine INFO: Epoch: [66] [200/366] learning_rate: 0.353371 loss_vfl: 0.946385 loss_bbox: 0.332072 loss_dfl: 0.201881 loss: 1.478330 eta: 2 days, 18:23:44 batch_cost: 2.7253 data_cost: 0.0016 ips: 29.3543 images/s [10/14 06:40:03] ppdet.engine INFO: Epoch: [66] [220/366] learning_rate: 0.353297 loss_vfl: 0.931587 loss_bbox: 0.325482 loss_dfl: 0.196953 loss: 1.464310 eta: 2 days, 18:22:46 batch_cost: 2.7691 data_cost: 0.0017 ips: 28.8904 images/s [10/14 06:41:01] ppdet.engine INFO: Epoch: [66] [240/366] learning_rate: 0.353224 loss_vfl: 0.962522 loss_bbox: 0.336327 loss_dfl: 0.196966 loss: 1.498885 eta: 2 days, 18:21:46 batch_cost: 2.7383 data_cost: 0.0016 ips: 29.2155 images/s [10/14 06:42:00] ppdet.engine INFO: Epoch: [66] [260/366] learning_rate: 0.353150 loss_vfl: 0.942623 loss_bbox: 0.344873 loss_dfl: 0.202207 loss: 1.488812 eta: 2 days, 18:20:51 batch_cost: 2.8107 data_cost: 0.0016 ips: 28.4627 images/s [10/14 06:42:58] ppdet.engine INFO: Epoch: [66] [280/366] learning_rate: 0.353076 loss_vfl: 0.948607 loss_bbox: 0.335394 loss_dfl: 0.200791 loss: 1.483001 eta: 2 days, 18:19:49 batch_cost: 2.7208 data_cost: 0.0016 ips: 29.4030 images/s [10/14 06:43:55] ppdet.engine INFO: Epoch: [66] [300/366] learning_rate: 0.353003 loss_vfl: 0.936823 loss_bbox: 0.351259 loss_dfl: 0.210622 loss: 1.473014 eta: 2 days, 18:18:49 batch_cost: 2.7305 data_cost: 0.0017 ips: 29.2986 images/s [10/14 06:44:55] ppdet.engine INFO: Epoch: [66] [320/366] learning_rate: 0.352929 loss_vfl: 0.962704 loss_bbox: 0.312687 loss_dfl: 0.193792 loss: 1.472209 eta: 2 days, 18:17:53 batch_cost: 2.7998 data_cost: 0.0016 ips: 28.5730 images/s [10/14 06:45:53] ppdet.engine INFO: Epoch: [66] [340/366] learning_rate: 0.352855 loss_vfl: 0.938807 loss_bbox: 0.326606 loss_dfl: 0.195365 loss: 1.467657 eta: 2 days, 18:16:56 batch_cost: 2.7888 data_cost: 0.0016 ips: 28.6865 images/s [10/14 06:46:47] ppdet.engine INFO: Epoch: [66] [360/366] learning_rate: 0.352781 loss_vfl: 0.936219 loss_bbox: 0.344994 loss_dfl: 0.206718 loss: 1.495390 eta: 2 days, 18:15:42 batch_cost: 2.5306 data_cost: 0.0015 ips: 31.6125 images/s [10/14 06:47:25] ppdet.engine INFO: Epoch: [67] [ 0/366] learning_rate: 0.352759 loss_vfl: 0.945150 loss_bbox: 0.351425 loss_dfl: 0.208073 loss: 1.498516 eta: 2 days, 18:16:25 batch_cost: 3.3889 data_cost: 0.3046 ips: 23.6062 images/s [10/14 06:48:25] ppdet.engine INFO: Epoch: [67] [ 20/366] learning_rate: 0.352685 loss_vfl: 0.941464 loss_bbox: 0.343480 loss_dfl: 0.203420 loss: 1.487002 eta: 2 days, 18:15:32 batch_cost: 2.8419 data_cost: 0.0022 ips: 28.1504 images/s [10/14 06:49:25] ppdet.engine INFO: Epoch: [67] [ 40/366] learning_rate: 0.352611 loss_vfl: 0.936825 loss_bbox: 0.321972 loss_dfl: 0.202851 loss: 1.444541 eta: 2 days, 18:14:36 batch_cost: 2.8046 data_cost: 0.0026 ips: 28.5243 images/s [10/14 06:50:24] ppdet.engine INFO: Epoch: [67] [ 60/366] learning_rate: 0.352537 loss_vfl: 0.957845 loss_bbox: 0.339004 loss_dfl: 0.198297 loss: 1.482863 eta: 2 days, 18:13:41 batch_cost: 2.8068 data_cost: 0.0021 ips: 28.5022 images/s [10/14 06:51:24] ppdet.engine INFO: Epoch: [67] [ 80/366] learning_rate: 0.352463 loss_vfl: 0.947632 loss_bbox: 0.329560 loss_dfl: 0.202027 loss: 1.470064 eta: 2 days, 18:12:46 batch_cost: 2.8191 data_cost: 0.0017 ips: 28.3776 images/s [10/14 06:52:23] ppdet.engine INFO: Epoch: [67] [100/366] learning_rate: 0.352389 loss_vfl: 0.948203 loss_bbox: 0.334867 loss_dfl: 0.201470 loss: 1.499655 eta: 2 days, 18:11:50 batch_cost: 2.7967 data_cost: 0.0018 ips: 28.6050 images/s [10/14 06:53:22] ppdet.engine INFO: Epoch: [67] [120/366] learning_rate: 0.352315 loss_vfl: 0.961094 loss_bbox: 0.329659 loss_dfl: 0.197854 loss: 1.472125 eta: 2 days, 18:10:54 batch_cost: 2.7962 data_cost: 0.0017 ips: 28.6100 images/s [10/14 06:54:19] ppdet.engine INFO: Epoch: [67] [140/366] learning_rate: 0.352241 loss_vfl: 0.954835 loss_bbox: 0.326355 loss_dfl: 0.197283 loss: 1.463188 eta: 2 days, 18:09:54 batch_cost: 2.7327 data_cost: 0.0016 ips: 29.2748 images/s [10/14 06:55:17] ppdet.engine INFO: Epoch: [67] [160/366] learning_rate: 0.352167 loss_vfl: 0.937627 loss_bbox: 0.333028 loss_dfl: 0.196263 loss: 1.475369 eta: 2 days, 18:08:53 batch_cost: 2.7229 data_cost: 0.0016 ips: 29.3807 images/s [10/14 06:56:15] ppdet.engine INFO: Epoch: [67] [180/366] learning_rate: 0.352092 loss_vfl: 0.954397 loss_bbox: 0.330303 loss_dfl: 0.198732 loss: 1.480482 eta: 2 days, 18:07:54 batch_cost: 2.7596 data_cost: 0.0017 ips: 28.9892 images/s [10/14 06:57:13] ppdet.engine INFO: Epoch: [67] [200/366] learning_rate: 0.352018 loss_vfl: 0.929027 loss_bbox: 0.342822 loss_dfl: 0.202782 loss: 1.470552 eta: 2 days, 18:06:56 batch_cost: 2.7668 data_cost: 0.0016 ips: 28.9140 images/s [10/14 06:58:12] ppdet.engine INFO: Epoch: [67] [220/366] learning_rate: 0.351944 loss_vfl: 0.946526 loss_bbox: 0.336287 loss_dfl: 0.209009 loss: 1.494729 eta: 2 days, 18:06:00 batch_cost: 2.7960 data_cost: 0.0016 ips: 28.6124 images/s [10/14 06:59:10] ppdet.engine INFO: Epoch: [67] [240/366] learning_rate: 0.351869 loss_vfl: 0.937330 loss_bbox: 0.344108 loss_dfl: 0.206246 loss: 1.481273 eta: 2 days, 18:05:02 batch_cost: 2.7687 data_cost: 0.0016 ips: 28.8943 images/s [10/14 07:00:08] ppdet.engine INFO: Epoch: [67] [260/366] learning_rate: 0.351795 loss_vfl: 0.939768 loss_bbox: 0.325879 loss_dfl: 0.196009 loss: 1.466146 eta: 2 days, 18:04:03 batch_cost: 2.7549 data_cost: 0.0016 ips: 29.0396 images/s [10/14 07:01:06] ppdet.engine INFO: Epoch: [67] [280/366] learning_rate: 0.351720 loss_vfl: 0.951110 loss_bbox: 0.341369 loss_dfl: 0.200940 loss: 1.478330 eta: 2 days, 18:03:04 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0668 images/s [10/14 07:02:04] ppdet.engine INFO: Epoch: [67] [300/366] learning_rate: 0.351646 loss_vfl: 0.953747 loss_bbox: 0.337218 loss_dfl: 0.200969 loss: 1.491334 eta: 2 days, 18:02:06 batch_cost: 2.7618 data_cost: 0.0017 ips: 28.9666 images/s [10/14 07:03:02] ppdet.engine INFO: Epoch: [67] [320/366] learning_rate: 0.351571 loss_vfl: 0.940338 loss_bbox: 0.343551 loss_dfl: 0.209075 loss: 1.488590 eta: 2 days, 18:01:06 batch_cost: 2.7347 data_cost: 0.0017 ips: 29.2535 images/s [10/14 07:04:00] ppdet.engine INFO: Epoch: [67] [340/366] learning_rate: 0.351496 loss_vfl: 0.949095 loss_bbox: 0.337704 loss_dfl: 0.209094 loss: 1.498954 eta: 2 days, 18:00:05 batch_cost: 2.7245 data_cost: 0.0016 ips: 29.3636 images/s [10/14 07:04:52] ppdet.engine INFO: Epoch: [67] [360/366] learning_rate: 0.351421 loss_vfl: 0.949756 loss_bbox: 0.361166 loss_dfl: 0.208065 loss: 1.523668 eta: 2 days, 17:58:48 batch_cost: 2.4983 data_cost: 0.0016 ips: 32.0214 images/s [10/14 07:05:29] ppdet.engine INFO: Epoch: [68] [ 0/366] learning_rate: 0.351399 loss_vfl: 0.949756 loss_bbox: 0.361166 loss_dfl: 0.205892 loss: 1.531870 eta: 2 days, 17:59:26 batch_cost: 3.2752 data_cost: 0.3891 ips: 24.4263 images/s [10/14 07:06:28] ppdet.engine INFO: Epoch: [68] [ 20/366] learning_rate: 0.351324 loss_vfl: 0.927419 loss_bbox: 0.329410 loss_dfl: 0.198963 loss: 1.466026 eta: 2 days, 17:58:29 batch_cost: 2.7778 data_cost: 0.0017 ips: 28.7996 images/s [10/14 07:07:26] ppdet.engine INFO: Epoch: [68] [ 40/366] learning_rate: 0.351249 loss_vfl: 0.952692 loss_bbox: 0.349607 loss_dfl: 0.208658 loss: 1.524013 eta: 2 days, 17:57:27 batch_cost: 2.7213 data_cost: 0.0016 ips: 29.3982 images/s [10/14 07:08:22] ppdet.engine INFO: Epoch: [68] [ 60/366] learning_rate: 0.351174 loss_vfl: 0.927078 loss_bbox: 0.335276 loss_dfl: 0.198190 loss: 1.435353 eta: 2 days, 17:56:23 batch_cost: 2.6670 data_cost: 0.0016 ips: 29.9967 images/s [10/14 07:09:20] ppdet.engine INFO: Epoch: [68] [ 80/366] learning_rate: 0.351099 loss_vfl: 0.937220 loss_bbox: 0.337840 loss_dfl: 0.206703 loss: 1.475389 eta: 2 days, 17:55:23 batch_cost: 2.7388 data_cost: 0.0017 ips: 29.2094 images/s [10/14 07:10:19] ppdet.engine INFO: Epoch: [68] [100/366] learning_rate: 0.351024 loss_vfl: 0.944628 loss_bbox: 0.337870 loss_dfl: 0.198538 loss: 1.484096 eta: 2 days, 17:54:29 batch_cost: 2.8304 data_cost: 0.0016 ips: 28.2642 images/s [10/14 07:11:17] ppdet.engine INFO: Epoch: [68] [120/366] learning_rate: 0.350949 loss_vfl: 0.933030 loss_bbox: 0.344834 loss_dfl: 0.206206 loss: 1.495872 eta: 2 days, 17:53:31 batch_cost: 2.7627 data_cost: 0.0016 ips: 28.9569 images/s [10/14 07:12:16] ppdet.engine INFO: Epoch: [68] [140/366] learning_rate: 0.350874 loss_vfl: 0.937982 loss_bbox: 0.361218 loss_dfl: 0.215441 loss: 1.504840 eta: 2 days, 17:52:34 batch_cost: 2.7843 data_cost: 0.0016 ips: 28.7322 images/s [10/14 07:13:14] ppdet.engine INFO: Epoch: [68] [160/366] learning_rate: 0.350799 loss_vfl: 0.934993 loss_bbox: 0.340130 loss_dfl: 0.201451 loss: 1.486802 eta: 2 days, 17:51:37 batch_cost: 2.7890 data_cost: 0.0016 ips: 28.6845 images/s [10/14 07:14:13] ppdet.engine INFO: Epoch: [68] [180/366] learning_rate: 0.350724 loss_vfl: 0.951125 loss_bbox: 0.339666 loss_dfl: 0.206929 loss: 1.489385 eta: 2 days, 17:50:40 batch_cost: 2.7859 data_cost: 0.0016 ips: 28.7163 images/s [10/14 07:15:11] ppdet.engine INFO: Epoch: [68] [200/366] learning_rate: 0.350649 loss_vfl: 0.959414 loss_bbox: 0.323292 loss_dfl: 0.200784 loss: 1.486300 eta: 2 days, 17:49:41 batch_cost: 2.7534 data_cost: 0.0016 ips: 29.0554 images/s [10/14 07:16:09] ppdet.engine INFO: Epoch: [68] [220/366] learning_rate: 0.350573 loss_vfl: 0.938626 loss_bbox: 0.342728 loss_dfl: 0.202856 loss: 1.480333 eta: 2 days, 17:48:42 batch_cost: 2.7445 data_cost: 0.0016 ips: 29.1491 images/s [10/14 07:17:07] ppdet.engine INFO: Epoch: [68] [240/366] learning_rate: 0.350498 loss_vfl: 0.937434 loss_bbox: 0.349967 loss_dfl: 0.208468 loss: 1.473145 eta: 2 days, 17:47:42 batch_cost: 2.7445 data_cost: 0.0016 ips: 29.1497 images/s [10/14 07:18:06] ppdet.engine INFO: Epoch: [68] [260/366] learning_rate: 0.350423 loss_vfl: 0.947384 loss_bbox: 0.347936 loss_dfl: 0.205135 loss: 1.496018 eta: 2 days, 17:46:44 batch_cost: 2.7648 data_cost: 0.0016 ips: 28.9350 images/s [10/14 07:19:04] ppdet.engine INFO: Epoch: [68] [280/366] learning_rate: 0.350347 loss_vfl: 0.932332 loss_bbox: 0.332832 loss_dfl: 0.197340 loss: 1.479247 eta: 2 days, 17:45:44 batch_cost: 2.7334 data_cost: 0.0016 ips: 29.2671 images/s [10/14 07:20:01] ppdet.engine INFO: Epoch: [68] [300/366] learning_rate: 0.350272 loss_vfl: 0.951816 loss_bbox: 0.342475 loss_dfl: 0.212941 loss: 1.509460 eta: 2 days, 17:44:42 batch_cost: 2.7025 data_cost: 0.0022 ips: 29.6026 images/s [10/14 07:20:59] ppdet.engine INFO: Epoch: [68] [320/366] learning_rate: 0.350196 loss_vfl: 0.946967 loss_bbox: 0.322497 loss_dfl: 0.200308 loss: 1.475099 eta: 2 days, 17:43:42 batch_cost: 2.7452 data_cost: 0.0015 ips: 29.1414 images/s [10/14 07:21:57] ppdet.engine INFO: Epoch: [68] [340/366] learning_rate: 0.350121 loss_vfl: 0.954245 loss_bbox: 0.336951 loss_dfl: 0.206634 loss: 1.493378 eta: 2 days, 17:42:44 batch_cost: 2.7696 data_cost: 0.0016 ips: 28.8849 images/s [10/14 07:22:48] ppdet.engine INFO: Epoch: [68] [360/366] learning_rate: 0.350045 loss_vfl: 0.929424 loss_bbox: 0.357751 loss_dfl: 0.211954 loss: 1.498310 eta: 2 days, 17:41:24 batch_cost: 2.4300 data_cost: 0.0015 ips: 32.9217 images/s [10/14 07:23:23] ppdet.engine INFO: Epoch: [69] [ 0/366] learning_rate: 0.350022 loss_vfl: 0.936039 loss_bbox: 0.361695 loss_dfl: 0.212080 loss: 1.510725 eta: 2 days, 17:41:52 batch_cost: 3.1185 data_cost: 0.3355 ips: 25.6535 images/s [10/14 07:24:29] ppdet.engine INFO: Epoch: [69] [ 20/366] learning_rate: 0.349947 loss_vfl: 0.958929 loss_bbox: 0.323196 loss_dfl: 0.195463 loss: 1.475996 eta: 2 days, 17:41:16 batch_cost: 3.0954 data_cost: 0.0018 ips: 25.8449 images/s [10/14 07:25:27] ppdet.engine INFO: Epoch: [69] [ 40/366] learning_rate: 0.349871 loss_vfl: 0.966560 loss_bbox: 0.340357 loss_dfl: 0.200961 loss: 1.504648 eta: 2 days, 17:40:19 batch_cost: 2.7904 data_cost: 0.0016 ips: 28.6698 images/s [10/14 07:26:26] ppdet.engine INFO: Epoch: [69] [ 60/366] learning_rate: 0.349795 loss_vfl: 0.940443 loss_bbox: 0.322847 loss_dfl: 0.198702 loss: 1.476116 eta: 2 days, 17:39:21 batch_cost: 2.7724 data_cost: 0.0016 ips: 28.8554 images/s [10/14 07:27:23] ppdet.engine INFO: Epoch: [69] [ 80/366] learning_rate: 0.349719 loss_vfl: 0.947845 loss_bbox: 0.348695 loss_dfl: 0.202854 loss: 1.494015 eta: 2 days, 17:38:22 batch_cost: 2.7380 data_cost: 0.0015 ips: 29.2180 images/s [10/14 07:28:22] ppdet.engine INFO: Epoch: [69] [100/366] learning_rate: 0.349643 loss_vfl: 0.932577 loss_bbox: 0.353310 loss_dfl: 0.209923 loss: 1.492899 eta: 2 days, 17:37:24 batch_cost: 2.7676 data_cost: 0.0016 ips: 28.9060 images/s [10/14 07:29:19] ppdet.engine INFO: Epoch: [69] [120/366] learning_rate: 0.349567 loss_vfl: 0.954573 loss_bbox: 0.343470 loss_dfl: 0.205550 loss: 1.476136 eta: 2 days, 17:36:24 batch_cost: 2.7402 data_cost: 0.0016 ips: 29.1954 images/s [10/14 07:30:16] ppdet.engine INFO: Epoch: [69] [140/366] learning_rate: 0.349491 loss_vfl: 0.925761 loss_bbox: 0.343613 loss_dfl: 0.203068 loss: 1.468632 eta: 2 days, 17:35:20 batch_cost: 2.6716 data_cost: 0.0016 ips: 29.9443 images/s [10/14 07:31:13] ppdet.engine INFO: Epoch: [69] [160/366] learning_rate: 0.349415 loss_vfl: 0.941469 loss_bbox: 0.335666 loss_dfl: 0.202028 loss: 1.477245 eta: 2 days, 17:34:20 batch_cost: 2.7432 data_cost: 0.0016 ips: 29.1630 images/s [10/14 07:32:12] ppdet.engine INFO: Epoch: [69] [180/366] learning_rate: 0.349339 loss_vfl: 0.946791 loss_bbox: 0.333741 loss_dfl: 0.205804 loss: 1.464465 eta: 2 days, 17:33:24 batch_cost: 2.7908 data_cost: 0.0016 ips: 28.6658 images/s [10/14 07:33:11] ppdet.engine INFO: Epoch: [69] [200/366] learning_rate: 0.349263 loss_vfl: 0.955831 loss_bbox: 0.329729 loss_dfl: 0.199150 loss: 1.483119 eta: 2 days, 17:32:26 batch_cost: 2.7697 data_cost: 0.0017 ips: 28.8841 images/s [10/14 07:34:11] ppdet.engine INFO: Epoch: [69] [220/366] learning_rate: 0.349187 loss_vfl: 0.923312 loss_bbox: 0.333795 loss_dfl: 0.202929 loss: 1.471881 eta: 2 days, 17:31:33 batch_cost: 2.8406 data_cost: 0.0016 ips: 28.1634 images/s [10/14 07:35:09] ppdet.engine INFO: Epoch: [69] [240/366] learning_rate: 0.349110 loss_vfl: 0.933161 loss_bbox: 0.335151 loss_dfl: 0.204663 loss: 1.481824 eta: 2 days, 17:30:36 batch_cost: 2.7832 data_cost: 0.0016 ips: 28.7443 images/s [10/14 07:36:08] ppdet.engine INFO: Epoch: [69] [260/366] learning_rate: 0.349034 loss_vfl: 0.931642 loss_bbox: 0.326863 loss_dfl: 0.196197 loss: 1.464056 eta: 2 days, 17:29:40 batch_cost: 2.7981 data_cost: 0.0016 ips: 28.5905 images/s [10/14 07:37:07] ppdet.engine INFO: Epoch: [69] [280/366] learning_rate: 0.348958 loss_vfl: 0.952254 loss_bbox: 0.346815 loss_dfl: 0.209873 loss: 1.514791 eta: 2 days, 17:28:42 batch_cost: 2.7712 data_cost: 0.0016 ips: 28.8681 images/s [10/14 07:38:06] ppdet.engine INFO: Epoch: [69] [300/366] learning_rate: 0.348881 loss_vfl: 0.943258 loss_bbox: 0.331416 loss_dfl: 0.200203 loss: 1.453830 eta: 2 days, 17:27:48 batch_cost: 2.8172 data_cost: 0.0022 ips: 28.3973 images/s [10/14 07:39:03] ppdet.engine INFO: Epoch: [69] [320/366] learning_rate: 0.348805 loss_vfl: 0.940774 loss_bbox: 0.324333 loss_dfl: 0.203405 loss: 1.463549 eta: 2 days, 17:26:44 batch_cost: 2.6816 data_cost: 0.0017 ips: 29.8326 images/s [10/14 07:40:00] ppdet.engine INFO: Epoch: [69] [340/366] learning_rate: 0.348728 loss_vfl: 0.944413 loss_bbox: 0.322310 loss_dfl: 0.194815 loss: 1.474752 eta: 2 days, 17:25:44 batch_cost: 2.7329 data_cost: 0.0016 ips: 29.2725 images/s [10/14 07:40:53] ppdet.engine INFO: Epoch: [69] [360/366] learning_rate: 0.348652 loss_vfl: 0.938817 loss_bbox: 0.339023 loss_dfl: 0.202599 loss: 1.488198 eta: 2 days, 17:24:27 batch_cost: 2.4839 data_cost: 0.0015 ips: 32.2080 images/s [10/14 07:41:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 07:41:09] ppdet.engine INFO: Eval iter: 0 [10/14 07:41:48] ppdet.engine INFO: Eval iter: 100 [10/14 07:42:11] ppdet.engine INFO: Eval iter: 200 [10/14 07:42:35] ppdet.engine INFO: Eval iter: 300 [10/14 07:42:58] ppdet.engine INFO: Eval iter: 400 [10/14 07:43:22] ppdet.engine INFO: Eval iter: 500 [10/14 07:43:45] ppdet.engine INFO: Eval iter: 600 [10/14 07:44:07] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/14 07:44:08] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.74s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.18s). Accumulating evaluation results... DONE (t=17.36s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.274 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.413 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.284 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.093 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.262 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.170 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.478 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681 [10/14 07:46:10] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.368916918167248 [10/14 07:46:10] ppdet.engine INFO: Best test bbox ap is 0.274. [10/14 07:46:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 07:46:12] ppdet.engine INFO: Epoch: [70] [ 0/366] learning_rate: 0.348629 loss_vfl: 0.946286 loss_bbox: 0.339023 loss_dfl: 0.203207 loss: 1.500313 eta: 2 days, 17:24:00 batch_cost: 2.3174 data_cost: 0.0016 ips: 34.5214 images/s [10/14 07:47:12] ppdet.engine INFO: Epoch: [70] [ 20/366] learning_rate: 0.348552 loss_vfl: 0.917607 loss_bbox: 0.339824 loss_dfl: 0.206523 loss: 1.478664 eta: 2 days, 17:23:05 batch_cost: 2.8132 data_cost: 0.0017 ips: 28.4370 images/s [10/14 07:48:09] ppdet.engine INFO: Epoch: [70] [ 40/366] learning_rate: 0.348476 loss_vfl: 0.924954 loss_bbox: 0.324766 loss_dfl: 0.194566 loss: 1.455419 eta: 2 days, 17:22:05 batch_cost: 2.7331 data_cost: 0.0016 ips: 29.2713 images/s [10/14 07:49:08] ppdet.engine INFO: Epoch: [70] [ 60/366] learning_rate: 0.348399 loss_vfl: 0.922093 loss_bbox: 0.344065 loss_dfl: 0.206716 loss: 1.468748 eta: 2 days, 17:21:10 batch_cost: 2.8125 data_cost: 0.0017 ips: 28.4439 images/s [10/14 07:50:08] ppdet.engine INFO: Epoch: [70] [ 80/366] learning_rate: 0.348322 loss_vfl: 0.927686 loss_bbox: 0.333279 loss_dfl: 0.202168 loss: 1.451204 eta: 2 days, 17:20:16 batch_cost: 2.8213 data_cost: 0.0016 ips: 28.3558 images/s [10/14 07:51:07] ppdet.engine INFO: Epoch: [70] [100/366] learning_rate: 0.348245 loss_vfl: 0.938794 loss_bbox: 0.334499 loss_dfl: 0.202466 loss: 1.488016 eta: 2 days, 17:19:20 batch_cost: 2.8000 data_cost: 0.0016 ips: 28.5716 images/s [10/14 07:52:09] ppdet.engine INFO: Epoch: [70] [120/366] learning_rate: 0.348169 loss_vfl: 0.949524 loss_bbox: 0.324779 loss_dfl: 0.200060 loss: 1.477180 eta: 2 days, 17:18:32 batch_cost: 2.9219 data_cost: 0.0017 ips: 27.3791 images/s [10/14 07:53:09] ppdet.engine INFO: Epoch: [70] [140/366] learning_rate: 0.348092 loss_vfl: 0.936593 loss_bbox: 0.336823 loss_dfl: 0.201698 loss: 1.477194 eta: 2 days, 17:17:39 batch_cost: 2.8468 data_cost: 0.0017 ips: 28.1014 images/s [10/14 07:54:08] ppdet.engine INFO: Epoch: [70] [160/366] learning_rate: 0.348015 loss_vfl: 0.944312 loss_bbox: 0.355847 loss_dfl: 0.208107 loss: 1.497115 eta: 2 days, 17:16:45 batch_cost: 2.8171 data_cost: 0.0016 ips: 28.3981 images/s [10/14 07:55:07] ppdet.engine INFO: Epoch: [70] [180/366] learning_rate: 0.347938 loss_vfl: 0.955558 loss_bbox: 0.337049 loss_dfl: 0.209804 loss: 1.493528 eta: 2 days, 17:15:50 batch_cost: 2.8204 data_cost: 0.0017 ips: 28.3648 images/s [10/14 07:56:06] ppdet.engine INFO: Epoch: [70] [200/366] learning_rate: 0.347861 loss_vfl: 0.931552 loss_bbox: 0.339218 loss_dfl: 0.201036 loss: 1.485744 eta: 2 days, 17:14:54 batch_cost: 2.7976 data_cost: 0.0016 ips: 28.5963 images/s [10/14 07:57:05] ppdet.engine INFO: Epoch: [70] [220/366] learning_rate: 0.347784 loss_vfl: 0.938075 loss_bbox: 0.318065 loss_dfl: 0.194470 loss: 1.451129 eta: 2 days, 17:13:59 batch_cost: 2.8088 data_cost: 0.0017 ips: 28.4820 images/s [10/14 07:58:05] ppdet.engine INFO: Epoch: [70] [240/366] learning_rate: 0.347707 loss_vfl: 0.942840 loss_bbox: 0.341660 loss_dfl: 0.207351 loss: 1.487350 eta: 2 days, 17:13:07 batch_cost: 2.8470 data_cost: 0.0016 ips: 28.1000 images/s [10/14 07:59:03] ppdet.engine INFO: Epoch: [70] [260/366] learning_rate: 0.347629 loss_vfl: 0.933156 loss_bbox: 0.324151 loss_dfl: 0.198087 loss: 1.458063 eta: 2 days, 17:12:10 batch_cost: 2.7815 data_cost: 0.0016 ips: 28.7611 images/s [10/14 08:00:02] ppdet.engine INFO: Epoch: [70] [280/366] learning_rate: 0.347552 loss_vfl: 0.951775 loss_bbox: 0.330071 loss_dfl: 0.200408 loss: 1.475638 eta: 2 days, 17:11:13 batch_cost: 2.7911 data_cost: 0.0016 ips: 28.6630 images/s [10/14 08:01:01] ppdet.engine INFO: Epoch: [70] [300/366] learning_rate: 0.347475 loss_vfl: 0.942376 loss_bbox: 0.338539 loss_dfl: 0.203333 loss: 1.493220 eta: 2 days, 17:10:18 batch_cost: 2.8086 data_cost: 0.0016 ips: 28.4843 images/s [10/14 08:02:00] ppdet.engine INFO: Epoch: [70] [320/366] learning_rate: 0.347397 loss_vfl: 0.931524 loss_bbox: 0.344820 loss_dfl: 0.205075 loss: 1.472318 eta: 2 days, 17:09:23 batch_cost: 2.8136 data_cost: 0.0017 ips: 28.4336 images/s [10/14 08:02:58] ppdet.engine INFO: Epoch: [70] [340/366] learning_rate: 0.347320 loss_vfl: 0.936335 loss_bbox: 0.317279 loss_dfl: 0.197505 loss: 1.465171 eta: 2 days, 17:08:24 batch_cost: 2.7400 data_cost: 0.0016 ips: 29.1976 images/s [10/14 08:03:51] ppdet.engine INFO: Epoch: [70] [360/366] learning_rate: 0.347243 loss_vfl: 0.929905 loss_bbox: 0.327617 loss_dfl: 0.199172 loss: 1.470323 eta: 2 days, 17:07:08 batch_cost: 2.4922 data_cost: 0.0015 ips: 32.0996 images/s [10/14 08:04:29] ppdet.engine INFO: Epoch: [71] [ 0/366] learning_rate: 0.347219 loss_vfl: 0.943034 loss_bbox: 0.331786 loss_dfl: 0.201711 loss: 1.475328 eta: 2 days, 17:07:44 batch_cost: 3.3548 data_cost: 0.3141 ips: 23.8467 images/s [10/14 08:05:28] ppdet.engine INFO: Epoch: [71] [ 20/366] learning_rate: 0.347142 loss_vfl: 0.942293 loss_bbox: 0.351295 loss_dfl: 0.213557 loss: 1.507299 eta: 2 days, 17:06:49 batch_cost: 2.8104 data_cost: 0.0017 ips: 28.4654 images/s [10/14 08:06:25] ppdet.engine INFO: Epoch: [71] [ 40/366] learning_rate: 0.347064 loss_vfl: 0.941059 loss_bbox: 0.325653 loss_dfl: 0.196135 loss: 1.459565 eta: 2 days, 17:05:49 batch_cost: 2.7420 data_cost: 0.0016 ips: 29.1755 images/s [10/14 08:07:24] ppdet.engine INFO: Epoch: [71] [ 60/366] learning_rate: 0.346987 loss_vfl: 0.935895 loss_bbox: 0.315313 loss_dfl: 0.194656 loss: 1.453897 eta: 2 days, 17:04:52 batch_cost: 2.7766 data_cost: 0.0016 ips: 28.8118 images/s [10/14 08:08:22] ppdet.engine INFO: Epoch: [71] [ 80/366] learning_rate: 0.346909 loss_vfl: 0.944052 loss_bbox: 0.335441 loss_dfl: 0.206755 loss: 1.476557 eta: 2 days, 17:03:51 batch_cost: 2.7180 data_cost: 0.0016 ips: 29.4338 images/s [10/14 08:09:21] ppdet.engine INFO: Epoch: [71] [100/366] learning_rate: 0.346831 loss_vfl: 0.942963 loss_bbox: 0.350282 loss_dfl: 0.207498 loss: 1.497466 eta: 2 days, 17:02:57 batch_cost: 2.8259 data_cost: 0.0016 ips: 28.3098 images/s [10/14 08:10:19] ppdet.engine INFO: Epoch: [71] [120/366] learning_rate: 0.346754 loss_vfl: 0.934663 loss_bbox: 0.314697 loss_dfl: 0.189952 loss: 1.445183 eta: 2 days, 17:01:58 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0916 images/s [10/14 08:11:17] ppdet.engine INFO: Epoch: [71] [140/366] learning_rate: 0.346676 loss_vfl: 0.942568 loss_bbox: 0.344466 loss_dfl: 0.205567 loss: 1.481575 eta: 2 days, 17:00:57 batch_cost: 2.7269 data_cost: 0.0016 ips: 29.3378 images/s [10/14 08:12:15] ppdet.engine INFO: Epoch: [71] [160/366] learning_rate: 0.346598 loss_vfl: 0.946774 loss_bbox: 0.329606 loss_dfl: 0.197457 loss: 1.471095 eta: 2 days, 16:59:59 batch_cost: 2.7675 data_cost: 0.0016 ips: 28.9072 images/s [10/14 08:13:14] ppdet.engine INFO: Epoch: [71] [180/366] learning_rate: 0.346520 loss_vfl: 0.928554 loss_bbox: 0.322378 loss_dfl: 0.196089 loss: 1.465886 eta: 2 days, 16:59:05 batch_cost: 2.8207 data_cost: 0.0016 ips: 28.3620 images/s [10/14 08:14:11] ppdet.engine INFO: Epoch: [71] [200/366] learning_rate: 0.346442 loss_vfl: 0.925197 loss_bbox: 0.333423 loss_dfl: 0.203530 loss: 1.454250 eta: 2 days, 16:58:02 batch_cost: 2.6969 data_cost: 0.0017 ips: 29.6632 images/s [10/14 08:15:09] ppdet.engine INFO: Epoch: [71] [220/366] learning_rate: 0.346364 loss_vfl: 0.945150 loss_bbox: 0.330062 loss_dfl: 0.200834 loss: 1.487913 eta: 2 days, 16:57:04 batch_cost: 2.7623 data_cost: 0.0016 ips: 28.9611 images/s [10/14 08:16:07] ppdet.engine INFO: Epoch: [71] [240/366] learning_rate: 0.346286 loss_vfl: 0.947797 loss_bbox: 0.324080 loss_dfl: 0.197933 loss: 1.476592 eta: 2 days, 16:56:06 batch_cost: 2.7592 data_cost: 0.0016 ips: 28.9942 images/s [10/14 08:17:04] ppdet.engine INFO: Epoch: [71] [260/366] learning_rate: 0.346208 loss_vfl: 0.926281 loss_bbox: 0.333825 loss_dfl: 0.198828 loss: 1.466192 eta: 2 days, 16:55:04 batch_cost: 2.7018 data_cost: 0.0016 ips: 29.6093 images/s [10/14 08:18:02] ppdet.engine INFO: Epoch: [71] [280/366] learning_rate: 0.346130 loss_vfl: 0.935615 loss_bbox: 0.337956 loss_dfl: 0.201667 loss: 1.467853 eta: 2 days, 16:54:05 batch_cost: 2.7448 data_cost: 0.0015 ips: 29.1460 images/s [10/14 08:19:00] ppdet.engine INFO: Epoch: [71] [300/366] learning_rate: 0.346052 loss_vfl: 0.947106 loss_bbox: 0.332573 loss_dfl: 0.202941 loss: 1.494982 eta: 2 days, 16:53:07 batch_cost: 2.7653 data_cost: 0.0016 ips: 28.9299 images/s [10/14 08:19:59] ppdet.engine INFO: Epoch: [71] [320/366] learning_rate: 0.345974 loss_vfl: 0.954116 loss_bbox: 0.310551 loss_dfl: 0.192645 loss: 1.473862 eta: 2 days, 16:52:09 batch_cost: 2.7714 data_cost: 0.0016 ips: 28.8663 images/s [10/14 08:20:56] ppdet.engine INFO: Epoch: [71] [340/366] learning_rate: 0.345896 loss_vfl: 0.939762 loss_bbox: 0.322940 loss_dfl: 0.199933 loss: 1.462187 eta: 2 days, 16:51:09 batch_cost: 2.7297 data_cost: 0.0015 ips: 29.3073 images/s [10/14 08:21:50] ppdet.engine INFO: Epoch: [71] [360/366] learning_rate: 0.345817 loss_vfl: 0.942204 loss_bbox: 0.328107 loss_dfl: 0.199521 loss: 1.480508 eta: 2 days, 16:49:57 batch_cost: 2.5478 data_cost: 0.0016 ips: 31.3999 images/s [10/14 08:22:24] ppdet.engine INFO: Epoch: [72] [ 0/366] learning_rate: 0.345794 loss_vfl: 0.948157 loss_bbox: 0.327396 loss_dfl: 0.198251 loss: 1.474929 eta: 2 days, 16:50:21 batch_cost: 3.2052 data_cost: 0.3427 ips: 24.9593 images/s [10/14 08:23:27] ppdet.engine INFO: Epoch: [72] [ 20/366] learning_rate: 0.345715 loss_vfl: 0.938923 loss_bbox: 0.352486 loss_dfl: 0.209566 loss: 1.498799 eta: 2 days, 16:49:36 batch_cost: 2.9606 data_cost: 0.0018 ips: 27.0216 images/s [10/14 08:24:25] ppdet.engine INFO: Epoch: [72] [ 40/366] learning_rate: 0.345637 loss_vfl: 0.937031 loss_bbox: 0.324362 loss_dfl: 0.198470 loss: 1.465021 eta: 2 days, 16:48:38 batch_cost: 2.7702 data_cost: 0.0017 ips: 28.8792 images/s [10/14 08:25:23] ppdet.engine INFO: Epoch: [72] [ 60/366] learning_rate: 0.345558 loss_vfl: 0.936408 loss_bbox: 0.334584 loss_dfl: 0.206614 loss: 1.489695 eta: 2 days, 16:47:38 batch_cost: 2.7316 data_cost: 0.0016 ips: 29.2863 images/s [10/14 08:26:19] ppdet.engine INFO: Epoch: [72] [ 80/366] learning_rate: 0.345480 loss_vfl: 0.940117 loss_bbox: 0.342162 loss_dfl: 0.204644 loss: 1.483202 eta: 2 days, 16:46:36 batch_cost: 2.7019 data_cost: 0.0016 ips: 29.6085 images/s [10/14 08:27:17] ppdet.engine INFO: Epoch: [72] [100/366] learning_rate: 0.345401 loss_vfl: 0.950791 loss_bbox: 0.320364 loss_dfl: 0.198982 loss: 1.462177 eta: 2 days, 16:45:35 batch_cost: 2.7173 data_cost: 0.0016 ips: 29.4412 images/s [10/14 08:28:14] ppdet.engine INFO: Epoch: [72] [120/366] learning_rate: 0.345323 loss_vfl: 0.931905 loss_bbox: 0.328749 loss_dfl: 0.198482 loss: 1.479291 eta: 2 days, 16:44:35 batch_cost: 2.7297 data_cost: 0.0016 ips: 29.3071 images/s [10/14 08:29:12] ppdet.engine INFO: Epoch: [72] [140/366] learning_rate: 0.345244 loss_vfl: 0.947361 loss_bbox: 0.344560 loss_dfl: 0.205381 loss: 1.480067 eta: 2 days, 16:43:36 batch_cost: 2.7567 data_cost: 0.0016 ips: 29.0199 images/s [10/14 08:30:10] ppdet.engine INFO: Epoch: [72] [160/366] learning_rate: 0.345165 loss_vfl: 0.937031 loss_bbox: 0.340466 loss_dfl: 0.212796 loss: 1.475229 eta: 2 days, 16:42:36 batch_cost: 2.7272 data_cost: 0.0016 ips: 29.3343 images/s [10/14 08:31:09] ppdet.engine INFO: Epoch: [72] [180/366] learning_rate: 0.345087 loss_vfl: 0.940056 loss_bbox: 0.346118 loss_dfl: 0.203451 loss: 1.489847 eta: 2 days, 16:41:42 batch_cost: 2.8247 data_cost: 0.0017 ips: 28.3218 images/s [10/14 08:32:09] ppdet.engine INFO: Epoch: [72] [200/366] learning_rate: 0.345008 loss_vfl: 0.931285 loss_bbox: 0.318350 loss_dfl: 0.193915 loss: 1.446695 eta: 2 days, 16:40:47 batch_cost: 2.8173 data_cost: 0.0017 ips: 28.3955 images/s [10/14 08:33:07] ppdet.engine INFO: Epoch: [72] [220/366] learning_rate: 0.344929 loss_vfl: 0.944098 loss_bbox: 0.335226 loss_dfl: 0.205586 loss: 1.491588 eta: 2 days, 16:39:49 batch_cost: 2.7644 data_cost: 0.0016 ips: 28.9390 images/s [10/14 08:34:06] ppdet.engine INFO: Epoch: [72] [240/366] learning_rate: 0.344850 loss_vfl: 0.934083 loss_bbox: 0.328291 loss_dfl: 0.193705 loss: 1.466232 eta: 2 days, 16:38:53 batch_cost: 2.7857 data_cost: 0.0016 ips: 28.7182 images/s [10/14 08:35:04] ppdet.engine INFO: Epoch: [72] [260/366] learning_rate: 0.344771 loss_vfl: 0.951325 loss_bbox: 0.318099 loss_dfl: 0.200436 loss: 1.494202 eta: 2 days, 16:37:54 batch_cost: 2.7483 data_cost: 0.0017 ips: 29.1087 images/s [10/14 08:36:03] ppdet.engine INFO: Epoch: [72] [280/366] learning_rate: 0.344692 loss_vfl: 0.936752 loss_bbox: 0.319708 loss_dfl: 0.197608 loss: 1.461689 eta: 2 days, 16:36:57 batch_cost: 2.7934 data_cost: 0.0015 ips: 28.6388 images/s [10/14 08:37:00] ppdet.engine INFO: Epoch: [72] [300/366] learning_rate: 0.344613 loss_vfl: 0.938663 loss_bbox: 0.317556 loss_dfl: 0.194229 loss: 1.457964 eta: 2 days, 16:35:57 batch_cost: 2.7317 data_cost: 0.0017 ips: 29.2855 images/s [10/14 08:37:57] ppdet.engine INFO: Epoch: [72] [320/366] learning_rate: 0.344534 loss_vfl: 0.927505 loss_bbox: 0.334287 loss_dfl: 0.202631 loss: 1.467008 eta: 2 days, 16:34:56 batch_cost: 2.7040 data_cost: 0.0016 ips: 29.5859 images/s [10/14 08:38:55] ppdet.engine INFO: Epoch: [72] [340/366] learning_rate: 0.344455 loss_vfl: 0.946892 loss_bbox: 0.328056 loss_dfl: 0.203265 loss: 1.484900 eta: 2 days, 16:33:55 batch_cost: 2.7275 data_cost: 0.0016 ips: 29.3309 images/s [10/14 08:39:48] ppdet.engine INFO: Epoch: [72] [360/366] learning_rate: 0.344376 loss_vfl: 0.937147 loss_bbox: 0.337462 loss_dfl: 0.200499 loss: 1.483933 eta: 2 days, 16:32:40 batch_cost: 2.4859 data_cost: 0.0015 ips: 32.1821 images/s [10/14 08:40:24] ppdet.engine INFO: Epoch: [73] [ 0/366] learning_rate: 0.344352 loss_vfl: 0.944185 loss_bbox: 0.333905 loss_dfl: 0.198858 loss: 1.481952 eta: 2 days, 16:33:11 batch_cost: 3.2601 data_cost: 0.4622 ips: 24.5390 images/s [10/14 08:41:23] ppdet.engine INFO: Epoch: [73] [ 20/366] learning_rate: 0.344273 loss_vfl: 0.958629 loss_bbox: 0.351014 loss_dfl: 0.205676 loss: 1.480491 eta: 2 days, 16:32:14 batch_cost: 2.7907 data_cost: 0.0018 ips: 28.6662 images/s [10/14 08:42:22] ppdet.engine INFO: Epoch: [73] [ 40/366] learning_rate: 0.344194 loss_vfl: 0.955546 loss_bbox: 0.331395 loss_dfl: 0.206031 loss: 1.484508 eta: 2 days, 16:31:19 batch_cost: 2.8020 data_cost: 0.0017 ips: 28.5508 images/s [10/14 08:43:20] ppdet.engine INFO: Epoch: [73] [ 60/366] learning_rate: 0.344114 loss_vfl: 0.926695 loss_bbox: 0.336892 loss_dfl: 0.201178 loss: 1.470881 eta: 2 days, 16:30:21 batch_cost: 2.7644 data_cost: 0.0017 ips: 28.9398 images/s [10/14 08:44:18] ppdet.engine INFO: Epoch: [73] [ 80/366] learning_rate: 0.344035 loss_vfl: 0.931459 loss_bbox: 0.332805 loss_dfl: 0.195469 loss: 1.461809 eta: 2 days, 16:29:22 batch_cost: 2.7534 data_cost: 0.0016 ips: 29.0555 images/s [10/14 08:45:16] ppdet.engine INFO: Epoch: [73] [100/366] learning_rate: 0.343955 loss_vfl: 0.945249 loss_bbox: 0.339787 loss_dfl: 0.200730 loss: 1.492154 eta: 2 days, 16:28:23 batch_cost: 2.7525 data_cost: 0.0017 ips: 29.0647 images/s [10/14 08:46:14] ppdet.engine INFO: Epoch: [73] [120/366] learning_rate: 0.343876 loss_vfl: 0.940560 loss_bbox: 0.316422 loss_dfl: 0.197749 loss: 1.453072 eta: 2 days, 16:27:24 batch_cost: 2.7402 data_cost: 0.0016 ips: 29.1953 images/s [10/14 08:47:13] ppdet.engine INFO: Epoch: [73] [140/366] learning_rate: 0.343796 loss_vfl: 0.920012 loss_bbox: 0.331919 loss_dfl: 0.203074 loss: 1.471731 eta: 2 days, 16:26:27 batch_cost: 2.7859 data_cost: 0.0016 ips: 28.7162 images/s [10/14 08:48:12] ppdet.engine INFO: Epoch: [73] [160/366] learning_rate: 0.343717 loss_vfl: 0.931960 loss_bbox: 0.333329 loss_dfl: 0.198863 loss: 1.461049 eta: 2 days, 16:25:34 batch_cost: 2.8406 data_cost: 0.0017 ips: 28.1631 images/s [10/14 08:49:11] ppdet.engine INFO: Epoch: [73] [180/366] learning_rate: 0.343637 loss_vfl: 0.950518 loss_bbox: 0.347701 loss_dfl: 0.203096 loss: 1.498313 eta: 2 days, 16:24:37 batch_cost: 2.7804 data_cost: 0.0017 ips: 28.7727 images/s [10/14 08:50:10] ppdet.engine INFO: Epoch: [73] [200/366] learning_rate: 0.343558 loss_vfl: 0.935136 loss_bbox: 0.339605 loss_dfl: 0.207811 loss: 1.481968 eta: 2 days, 16:23:40 batch_cost: 2.7879 data_cost: 0.0017 ips: 28.6956 images/s [10/14 08:51:08] ppdet.engine INFO: Epoch: [73] [220/366] learning_rate: 0.343478 loss_vfl: 0.952211 loss_bbox: 0.332521 loss_dfl: 0.208823 loss: 1.486241 eta: 2 days, 16:22:43 batch_cost: 2.7803 data_cost: 0.0016 ips: 28.7735 images/s [10/14 08:52:08] ppdet.engine INFO: Epoch: [73] [240/366] learning_rate: 0.343398 loss_vfl: 0.938088 loss_bbox: 0.343095 loss_dfl: 0.204202 loss: 1.497929 eta: 2 days, 16:21:50 batch_cost: 2.8314 data_cost: 0.0024 ips: 28.2546 images/s [10/14 08:53:07] ppdet.engine INFO: Epoch: [73] [260/366] learning_rate: 0.343318 loss_vfl: 0.950663 loss_bbox: 0.344644 loss_dfl: 0.203142 loss: 1.482827 eta: 2 days, 16:20:55 batch_cost: 2.8195 data_cost: 0.0016 ips: 28.3737 images/s [10/14 08:54:06] ppdet.engine INFO: Epoch: [73] [280/366] learning_rate: 0.343238 loss_vfl: 0.945433 loss_bbox: 0.330457 loss_dfl: 0.203437 loss: 1.481530 eta: 2 days, 16:19:58 batch_cost: 2.7753 data_cost: 0.0015 ips: 28.8262 images/s [10/14 08:55:05] ppdet.engine INFO: Epoch: [73] [300/366] learning_rate: 0.343159 loss_vfl: 0.946446 loss_bbox: 0.320948 loss_dfl: 0.199294 loss: 1.477057 eta: 2 days, 16:19:02 batch_cost: 2.8024 data_cost: 0.0022 ips: 28.5472 images/s [10/14 08:56:03] ppdet.engine INFO: Epoch: [73] [320/366] learning_rate: 0.343079 loss_vfl: 0.953689 loss_bbox: 0.335522 loss_dfl: 0.200108 loss: 1.492394 eta: 2 days, 16:18:03 batch_cost: 2.7380 data_cost: 0.0019 ips: 29.2189 images/s [10/14 08:57:00] ppdet.engine INFO: Epoch: [73] [340/366] learning_rate: 0.342999 loss_vfl: 0.945385 loss_bbox: 0.328319 loss_dfl: 0.199151 loss: 1.460444 eta: 2 days, 16:17:01 batch_cost: 2.7111 data_cost: 0.0016 ips: 29.5080 images/s [10/14 08:57:54] ppdet.engine INFO: Epoch: [73] [360/366] learning_rate: 0.342919 loss_vfl: 0.933706 loss_bbox: 0.352115 loss_dfl: 0.214064 loss: 1.500587 eta: 2 days, 16:15:50 batch_cost: 2.5472 data_cost: 0.0016 ips: 31.4070 images/s [10/14 08:58:32] ppdet.engine INFO: Epoch: [74] [ 0/366] learning_rate: 0.342895 loss_vfl: 0.932031 loss_bbox: 0.360041 loss_dfl: 0.219038 loss: 1.489701 eta: 2 days, 16:16:22 batch_cost: 3.3629 data_cost: 0.6078 ips: 23.7888 images/s [10/14 08:59:30] ppdet.engine INFO: Epoch: [74] [ 20/366] learning_rate: 0.342814 loss_vfl: 0.924021 loss_bbox: 0.334501 loss_dfl: 0.197985 loss: 1.476742 eta: 2 days, 16:15:25 batch_cost: 2.7801 data_cost: 0.0018 ips: 28.7757 images/s [10/14 09:00:29] ppdet.engine INFO: Epoch: [74] [ 40/366] learning_rate: 0.342734 loss_vfl: 0.926600 loss_bbox: 0.344196 loss_dfl: 0.202599 loss: 1.478528 eta: 2 days, 16:14:29 batch_cost: 2.7941 data_cost: 0.0017 ips: 28.6318 images/s [10/14 09:01:27] ppdet.engine INFO: Epoch: [74] [ 60/366] learning_rate: 0.342654 loss_vfl: 0.953398 loss_bbox: 0.338430 loss_dfl: 0.201216 loss: 1.492214 eta: 2 days, 16:13:31 batch_cost: 2.7647 data_cost: 0.0017 ips: 28.9365 images/s [10/14 09:02:26] ppdet.engine INFO: Epoch: [74] [ 80/366] learning_rate: 0.342574 loss_vfl: 0.935873 loss_bbox: 0.331577 loss_dfl: 0.203642 loss: 1.469691 eta: 2 days, 16:12:35 batch_cost: 2.7981 data_cost: 0.0019 ips: 28.5906 images/s [10/14 09:03:24] ppdet.engine INFO: Epoch: [74] [100/366] learning_rate: 0.342494 loss_vfl: 0.945220 loss_bbox: 0.349096 loss_dfl: 0.205677 loss: 1.497467 eta: 2 days, 16:11:37 batch_cost: 2.7644 data_cost: 0.0017 ips: 28.9398 images/s [10/14 09:04:21] ppdet.engine INFO: Epoch: [74] [120/366] learning_rate: 0.342413 loss_vfl: 0.938442 loss_bbox: 0.318936 loss_dfl: 0.194477 loss: 1.456508 eta: 2 days, 16:10:34 batch_cost: 2.6827 data_cost: 0.0016 ips: 29.8206 images/s [10/14 09:05:18] ppdet.engine INFO: Epoch: [74] [140/366] learning_rate: 0.342333 loss_vfl: 0.933469 loss_bbox: 0.344553 loss_dfl: 0.201208 loss: 1.476906 eta: 2 days, 16:09:33 batch_cost: 2.7043 data_cost: 0.0016 ips: 29.5822 images/s [10/14 09:06:16] ppdet.engine INFO: Epoch: [74] [160/366] learning_rate: 0.342252 loss_vfl: 0.932961 loss_bbox: 0.320651 loss_dfl: 0.202153 loss: 1.457206 eta: 2 days, 16:08:34 batch_cost: 2.7477 data_cost: 0.0016 ips: 29.1153 images/s [10/14 09:07:15] ppdet.engine INFO: Epoch: [74] [180/366] learning_rate: 0.342172 loss_vfl: 0.933117 loss_bbox: 0.350277 loss_dfl: 0.209438 loss: 1.489426 eta: 2 days, 16:07:38 batch_cost: 2.7992 data_cost: 0.0017 ips: 28.5793 images/s [10/14 09:08:12] ppdet.engine INFO: Epoch: [74] [200/366] learning_rate: 0.342091 loss_vfl: 0.932904 loss_bbox: 0.355926 loss_dfl: 0.214069 loss: 1.493330 eta: 2 days, 16:06:39 batch_cost: 2.7446 data_cost: 0.0016 ips: 29.1476 images/s [10/14 09:09:11] ppdet.engine INFO: Epoch: [74] [220/366] learning_rate: 0.342011 loss_vfl: 0.949508 loss_bbox: 0.343443 loss_dfl: 0.204442 loss: 1.483598 eta: 2 days, 16:05:41 batch_cost: 2.7645 data_cost: 0.0016 ips: 28.9387 images/s [10/14 09:10:10] ppdet.engine INFO: Epoch: [74] [240/366] learning_rate: 0.341930 loss_vfl: 0.952885 loss_bbox: 0.335638 loss_dfl: 0.205522 loss: 1.488900 eta: 2 days, 16:04:46 batch_cost: 2.8207 data_cost: 0.0017 ips: 28.3615 images/s [10/14 09:11:09] ppdet.engine INFO: Epoch: [74] [260/366] learning_rate: 0.341850 loss_vfl: 0.938332 loss_bbox: 0.347689 loss_dfl: 0.210970 loss: 1.486829 eta: 2 days, 16:03:50 batch_cost: 2.7871 data_cost: 0.0023 ips: 28.7037 images/s [10/14 09:12:07] ppdet.engine INFO: Epoch: [74] [280/366] learning_rate: 0.341769 loss_vfl: 0.941152 loss_bbox: 0.341474 loss_dfl: 0.193688 loss: 1.477040 eta: 2 days, 16:02:53 batch_cost: 2.7838 data_cost: 0.0016 ips: 28.7374 images/s [10/14 09:13:04] ppdet.engine INFO: Epoch: [74] [300/366] learning_rate: 0.341688 loss_vfl: 0.945573 loss_bbox: 0.334254 loss_dfl: 0.209449 loss: 1.503818 eta: 2 days, 16:01:52 batch_cost: 2.7137 data_cost: 0.0016 ips: 29.4803 images/s [10/14 09:14:01] ppdet.engine INFO: Epoch: [74] [320/366] learning_rate: 0.341607 loss_vfl: 0.942203 loss_bbox: 0.331368 loss_dfl: 0.202429 loss: 1.474355 eta: 2 days, 16:00:50 batch_cost: 2.6958 data_cost: 0.0016 ips: 29.6762 images/s [10/14 09:14:58] ppdet.engine INFO: Epoch: [74] [340/366] learning_rate: 0.341527 loss_vfl: 0.937874 loss_bbox: 0.341021 loss_dfl: 0.209675 loss: 1.503571 eta: 2 days, 15:59:47 batch_cost: 2.6792 data_cost: 0.0016 ips: 29.8596 images/s [10/14 09:15:50] ppdet.engine INFO: Epoch: [74] [360/366] learning_rate: 0.341446 loss_vfl: 0.934783 loss_bbox: 0.328512 loss_dfl: 0.201255 loss: 1.464339 eta: 2 days, 15:58:30 batch_cost: 2.4537 data_cost: 0.0016 ips: 32.6042 images/s [10/14 09:16:25] ppdet.engine INFO: Epoch: [75] [ 0/366] learning_rate: 0.341421 loss_vfl: 0.934783 loss_bbox: 0.317668 loss_dfl: 0.198964 loss: 1.462711 eta: 2 days, 15:58:58 batch_cost: 3.2474 data_cost: 0.3878 ips: 24.6350 images/s [10/14 09:17:24] ppdet.engine INFO: Epoch: [75] [ 20/366] learning_rate: 0.341340 loss_vfl: 0.936633 loss_bbox: 0.338520 loss_dfl: 0.207528 loss: 1.477821 eta: 2 days, 15:58:01 batch_cost: 2.7805 data_cost: 0.0016 ips: 28.7717 images/s [10/14 09:18:22] ppdet.engine INFO: Epoch: [75] [ 40/366] learning_rate: 0.341259 loss_vfl: 0.930413 loss_bbox: 0.335426 loss_dfl: 0.200495 loss: 1.484757 eta: 2 days, 15:57:03 batch_cost: 2.7684 data_cost: 0.0016 ips: 28.8976 images/s [10/14 09:19:21] ppdet.engine INFO: Epoch: [75] [ 60/366] learning_rate: 0.341178 loss_vfl: 0.933505 loss_bbox: 0.326968 loss_dfl: 0.202591 loss: 1.465342 eta: 2 days, 15:56:06 batch_cost: 2.7797 data_cost: 0.0017 ips: 28.7805 images/s [10/14 09:20:20] ppdet.engine INFO: Epoch: [75] [ 80/366] learning_rate: 0.341097 loss_vfl: 0.945016 loss_bbox: 0.322758 loss_dfl: 0.200056 loss: 1.461781 eta: 2 days, 15:55:10 batch_cost: 2.7872 data_cost: 0.0016 ips: 28.7028 images/s [10/14 09:21:18] ppdet.engine INFO: Epoch: [75] [100/366] learning_rate: 0.341016 loss_vfl: 0.938023 loss_bbox: 0.322346 loss_dfl: 0.198116 loss: 1.449830 eta: 2 days, 15:54:10 batch_cost: 2.7319 data_cost: 0.0016 ips: 29.2836 images/s [10/14 09:22:16] ppdet.engine INFO: Epoch: [75] [120/366] learning_rate: 0.340935 loss_vfl: 0.940268 loss_bbox: 0.339638 loss_dfl: 0.197907 loss: 1.475338 eta: 2 days, 15:53:11 batch_cost: 2.7423 data_cost: 0.0015 ips: 29.1721 images/s [10/14 09:23:14] ppdet.engine INFO: Epoch: [75] [140/366] learning_rate: 0.340854 loss_vfl: 0.934160 loss_bbox: 0.341449 loss_dfl: 0.199806 loss: 1.485294 eta: 2 days, 15:52:11 batch_cost: 2.7277 data_cost: 0.0017 ips: 29.3287 images/s [10/14 09:24:11] ppdet.engine INFO: Epoch: [75] [160/366] learning_rate: 0.340772 loss_vfl: 0.942052 loss_bbox: 0.328489 loss_dfl: 0.194760 loss: 1.484195 eta: 2 days, 15:51:11 batch_cost: 2.7396 data_cost: 0.0016 ips: 29.2017 images/s [10/14 09:25:09] ppdet.engine INFO: Epoch: [75] [180/366] learning_rate: 0.340691 loss_vfl: 0.926684 loss_bbox: 0.337890 loss_dfl: 0.195223 loss: 1.466160 eta: 2 days, 15:50:13 batch_cost: 2.7520 data_cost: 0.0015 ips: 29.0693 images/s [10/14 09:26:07] ppdet.engine INFO: Epoch: [75] [200/366] learning_rate: 0.340610 loss_vfl: 0.950836 loss_bbox: 0.344690 loss_dfl: 0.208551 loss: 1.493437 eta: 2 days, 15:49:15 batch_cost: 2.7593 data_cost: 0.0015 ips: 28.9931 images/s [10/14 09:27:05] ppdet.engine INFO: Epoch: [75] [220/366] learning_rate: 0.340528 loss_vfl: 0.928273 loss_bbox: 0.328953 loss_dfl: 0.201095 loss: 1.460389 eta: 2 days, 15:48:14 batch_cost: 2.7229 data_cost: 0.0015 ips: 29.3808 images/s [10/14 09:28:02] ppdet.engine INFO: Epoch: [75] [240/366] learning_rate: 0.340447 loss_vfl: 0.946819 loss_bbox: 0.320363 loss_dfl: 0.198881 loss: 1.473769 eta: 2 days, 15:47:15 batch_cost: 2.7472 data_cost: 0.0016 ips: 29.1210 images/s [10/14 09:29:01] ppdet.engine INFO: Epoch: [75] [260/366] learning_rate: 0.340365 loss_vfl: 0.938633 loss_bbox: 0.344205 loss_dfl: 0.204547 loss: 1.478448 eta: 2 days, 15:46:20 batch_cost: 2.7974 data_cost: 0.0016 ips: 28.5982 images/s [10/14 09:30:00] ppdet.engine INFO: Epoch: [75] [280/366] learning_rate: 0.340284 loss_vfl: 0.933921 loss_bbox: 0.336640 loss_dfl: 0.203590 loss: 1.503973 eta: 2 days, 15:45:22 batch_cost: 2.7724 data_cost: 0.0015 ips: 28.8560 images/s [10/14 09:30:57] ppdet.engine INFO: Epoch: [75] [300/366] learning_rate: 0.340202 loss_vfl: 0.951106 loss_bbox: 0.337036 loss_dfl: 0.200766 loss: 1.489932 eta: 2 days, 15:44:24 batch_cost: 2.7517 data_cost: 0.0015 ips: 29.0728 images/s [10/14 09:31:57] ppdet.engine INFO: Epoch: [75] [320/366] learning_rate: 0.340121 loss_vfl: 0.945316 loss_bbox: 0.336676 loss_dfl: 0.207426 loss: 1.497648 eta: 2 days, 15:43:29 batch_cost: 2.8234 data_cost: 0.0027 ips: 28.3349 images/s [10/14 09:32:56] ppdet.engine INFO: Epoch: [75] [340/366] learning_rate: 0.340039 loss_vfl: 0.941330 loss_bbox: 0.327067 loss_dfl: 0.201549 loss: 1.476917 eta: 2 days, 15:42:34 batch_cost: 2.8007 data_cost: 0.0016 ips: 28.5640 images/s [10/14 09:33:48] ppdet.engine INFO: Epoch: [75] [360/366] learning_rate: 0.339957 loss_vfl: 0.926942 loss_bbox: 0.338700 loss_dfl: 0.204806 loss: 1.470921 eta: 2 days, 15:41:19 batch_cost: 2.4755 data_cost: 0.0017 ips: 32.3173 images/s [10/14 09:34:24] ppdet.engine INFO: Epoch: [76] [ 0/366] learning_rate: 0.339933 loss_vfl: 0.927493 loss_bbox: 0.338700 loss_dfl: 0.204514 loss: 1.470921 eta: 2 days, 15:41:46 batch_cost: 3.2388 data_cost: 0.3228 ips: 24.7008 images/s [10/14 09:35:25] ppdet.engine INFO: Epoch: [76] [ 20/366] learning_rate: 0.339851 loss_vfl: 0.939648 loss_bbox: 0.330938 loss_dfl: 0.202368 loss: 1.480308 eta: 2 days, 15:40:54 batch_cost: 2.8748 data_cost: 0.0018 ips: 27.8281 images/s [10/14 09:36:24] ppdet.engine INFO: Epoch: [76] [ 40/366] learning_rate: 0.339769 loss_vfl: 0.934912 loss_bbox: 0.327496 loss_dfl: 0.198085 loss: 1.451871 eta: 2 days, 15:39:59 batch_cost: 2.8047 data_cost: 0.0016 ips: 28.5237 images/s [10/14 09:37:22] ppdet.engine INFO: Epoch: [76] [ 60/366] learning_rate: 0.339687 loss_vfl: 0.944324 loss_bbox: 0.322530 loss_dfl: 0.199849 loss: 1.453284 eta: 2 days, 15:38:59 batch_cost: 2.7369 data_cost: 0.0016 ips: 29.2303 images/s [10/14 09:38:20] ppdet.engine INFO: Epoch: [76] [ 80/366] learning_rate: 0.339605 loss_vfl: 0.922732 loss_bbox: 0.320921 loss_dfl: 0.191486 loss: 1.446211 eta: 2 days, 15:38:01 batch_cost: 2.7590 data_cost: 0.0016 ips: 28.9962 images/s [10/14 09:39:18] ppdet.engine INFO: Epoch: [76] [100/366] learning_rate: 0.339523 loss_vfl: 0.949687 loss_bbox: 0.325601 loss_dfl: 0.198856 loss: 1.475353 eta: 2 days, 15:37:01 batch_cost: 2.7329 data_cost: 0.0016 ips: 29.2725 images/s [10/14 09:40:16] ppdet.engine INFO: Epoch: [76] [120/366] learning_rate: 0.339441 loss_vfl: 0.940796 loss_bbox: 0.339752 loss_dfl: 0.200866 loss: 1.489476 eta: 2 days, 15:36:03 batch_cost: 2.7451 data_cost: 0.0016 ips: 29.1429 images/s [10/14 09:41:13] ppdet.engine INFO: Epoch: [76] [140/366] learning_rate: 0.339359 loss_vfl: 0.927714 loss_bbox: 0.347155 loss_dfl: 0.207128 loss: 1.480059 eta: 2 days, 15:35:02 batch_cost: 2.7175 data_cost: 0.0016 ips: 29.4393 images/s [10/14 09:42:12] ppdet.engine INFO: Epoch: [76] [160/366] learning_rate: 0.339277 loss_vfl: 0.947816 loss_bbox: 0.340939 loss_dfl: 0.203157 loss: 1.474363 eta: 2 days, 15:34:08 batch_cost: 2.8305 data_cost: 0.0016 ips: 28.2631 images/s [10/14 09:43:10] ppdet.engine INFO: Epoch: [76] [180/366] learning_rate: 0.339195 loss_vfl: 0.942569 loss_bbox: 0.328123 loss_dfl: 0.204952 loss: 1.476844 eta: 2 days, 15:33:09 batch_cost: 2.7462 data_cost: 0.0016 ips: 29.1309 images/s [10/14 09:44:08] ppdet.engine INFO: Epoch: [76] [200/366] learning_rate: 0.339113 loss_vfl: 0.933839 loss_bbox: 0.344158 loss_dfl: 0.204035 loss: 1.479244 eta: 2 days, 15:32:11 batch_cost: 2.7595 data_cost: 0.0016 ips: 28.9907 images/s [10/14 09:45:07] ppdet.engine INFO: Epoch: [76] [220/366] learning_rate: 0.339030 loss_vfl: 0.923130 loss_bbox: 0.337868 loss_dfl: 0.207308 loss: 1.468570 eta: 2 days, 15:31:14 batch_cost: 2.7802 data_cost: 0.0027 ips: 28.7754 images/s [10/14 09:46:05] ppdet.engine INFO: Epoch: [76] [240/366] learning_rate: 0.338948 loss_vfl: 0.939677 loss_bbox: 0.343205 loss_dfl: 0.199419 loss: 1.474847 eta: 2 days, 15:30:18 batch_cost: 2.7895 data_cost: 0.0016 ips: 28.6787 images/s [10/14 09:47:05] ppdet.engine INFO: Epoch: [76] [260/366] learning_rate: 0.338866 loss_vfl: 0.947168 loss_bbox: 0.331359 loss_dfl: 0.201815 loss: 1.469819 eta: 2 days, 15:29:23 batch_cost: 2.8116 data_cost: 0.0016 ips: 28.4533 images/s [10/14 09:48:04] ppdet.engine INFO: Epoch: [76] [280/366] learning_rate: 0.338783 loss_vfl: 0.938413 loss_bbox: 0.330366 loss_dfl: 0.199402 loss: 1.476924 eta: 2 days, 15:28:28 batch_cost: 2.8145 data_cost: 0.0016 ips: 28.4243 images/s [10/14 09:49:04] ppdet.engine INFO: Epoch: [76] [300/366] learning_rate: 0.338701 loss_vfl: 0.959378 loss_bbox: 0.335698 loss_dfl: 0.199717 loss: 1.482423 eta: 2 days, 15:27:34 batch_cost: 2.8403 data_cost: 0.0016 ips: 28.1657 images/s [10/14 09:50:03] ppdet.engine INFO: Epoch: [76] [320/366] learning_rate: 0.338619 loss_vfl: 0.948362 loss_bbox: 0.329659 loss_dfl: 0.204663 loss: 1.500556 eta: 2 days, 15:26:41 batch_cost: 2.8406 data_cost: 0.0016 ips: 28.1634 images/s [10/14 09:51:02] ppdet.engine INFO: Epoch: [76] [340/366] learning_rate: 0.338536 loss_vfl: 0.944213 loss_bbox: 0.328548 loss_dfl: 0.196980 loss: 1.459378 eta: 2 days, 15:25:45 batch_cost: 2.7968 data_cost: 0.0017 ips: 28.6041 images/s [10/14 09:51:57] ppdet.engine INFO: Epoch: [76] [360/366] learning_rate: 0.338453 loss_vfl: 0.949176 loss_bbox: 0.328363 loss_dfl: 0.197593 loss: 1.470661 eta: 2 days, 15:24:35 batch_cost: 2.5591 data_cost: 0.0016 ips: 31.2616 images/s [10/14 09:52:34] ppdet.engine INFO: Epoch: [77] [ 0/366] learning_rate: 0.338429 loss_vfl: 0.940848 loss_bbox: 0.320503 loss_dfl: 0.198456 loss: 1.456498 eta: 2 days, 15:25:06 batch_cost: 3.3851 data_cost: 0.4550 ips: 23.6327 images/s [10/14 09:53:34] ppdet.engine INFO: Epoch: [77] [ 20/366] learning_rate: 0.338346 loss_vfl: 0.928941 loss_bbox: 0.318257 loss_dfl: 0.196282 loss: 1.453775 eta: 2 days, 15:24:14 batch_cost: 2.8673 data_cost: 0.0016 ips: 27.9005 images/s [10/14 09:54:33] ppdet.engine INFO: Epoch: [77] [ 40/366] learning_rate: 0.338263 loss_vfl: 0.933302 loss_bbox: 0.335278 loss_dfl: 0.202613 loss: 1.466014 eta: 2 days, 15:23:18 batch_cost: 2.8032 data_cost: 0.0017 ips: 28.5384 images/s [10/14 09:55:31] ppdet.engine INFO: Epoch: [77] [ 60/366] learning_rate: 0.338181 loss_vfl: 0.934966 loss_bbox: 0.318395 loss_dfl: 0.194649 loss: 1.460703 eta: 2 days, 15:22:18 batch_cost: 2.7265 data_cost: 0.0016 ips: 29.3417 images/s [10/14 09:56:29] ppdet.engine INFO: Epoch: [77] [ 80/366] learning_rate: 0.338098 loss_vfl: 0.930188 loss_bbox: 0.350868 loss_dfl: 0.210461 loss: 1.490558 eta: 2 days, 15:21:22 batch_cost: 2.7820 data_cost: 0.0016 ips: 28.7558 images/s [10/14 09:57:28] ppdet.engine INFO: Epoch: [77] [100/366] learning_rate: 0.338015 loss_vfl: 0.935899 loss_bbox: 0.325898 loss_dfl: 0.197917 loss: 1.462528 eta: 2 days, 15:20:26 batch_cost: 2.8062 data_cost: 0.0016 ips: 28.5086 images/s [10/14 09:58:25] ppdet.engine INFO: Epoch: [77] [120/366] learning_rate: 0.337932 loss_vfl: 0.924740 loss_bbox: 0.338623 loss_dfl: 0.201919 loss: 1.469342 eta: 2 days, 15:19:25 batch_cost: 2.7128 data_cost: 0.0016 ips: 29.4899 images/s [10/14 09:59:25] ppdet.engine INFO: Epoch: [77] [140/366] learning_rate: 0.337849 loss_vfl: 0.923251 loss_bbox: 0.325492 loss_dfl: 0.198253 loss: 1.472599 eta: 2 days, 15:18:30 batch_cost: 2.8011 data_cost: 0.0015 ips: 28.5604 images/s [10/14 10:00:22] ppdet.engine INFO: Epoch: [77] [160/366] learning_rate: 0.337766 loss_vfl: 0.942709 loss_bbox: 0.336823 loss_dfl: 0.203840 loss: 1.471663 eta: 2 days, 15:17:29 batch_cost: 2.7196 data_cost: 0.0016 ips: 29.4157 images/s [10/14 10:01:19] ppdet.engine INFO: Epoch: [77] [180/366] learning_rate: 0.337683 loss_vfl: 0.940030 loss_bbox: 0.323586 loss_dfl: 0.199369 loss: 1.465252 eta: 2 days, 15:16:27 batch_cost: 2.6926 data_cost: 0.0016 ips: 29.7108 images/s [10/14 10:02:17] ppdet.engine INFO: Epoch: [77] [200/366] learning_rate: 0.337600 loss_vfl: 0.942950 loss_bbox: 0.334066 loss_dfl: 0.205889 loss: 1.476048 eta: 2 days, 15:15:29 batch_cost: 2.7572 data_cost: 0.0023 ips: 29.0147 images/s [10/14 10:03:15] ppdet.engine INFO: Epoch: [77] [220/366] learning_rate: 0.337517 loss_vfl: 0.930219 loss_bbox: 0.334177 loss_dfl: 0.198137 loss: 1.475094 eta: 2 days, 15:14:31 batch_cost: 2.7559 data_cost: 0.0016 ips: 29.0285 images/s [10/14 10:04:13] ppdet.engine INFO: Epoch: [77] [240/366] learning_rate: 0.337434 loss_vfl: 0.938745 loss_bbox: 0.339432 loss_dfl: 0.202042 loss: 1.473135 eta: 2 days, 15:13:32 batch_cost: 2.7463 data_cost: 0.0017 ips: 29.1298 images/s [10/14 10:05:10] ppdet.engine INFO: Epoch: [77] [260/366] learning_rate: 0.337351 loss_vfl: 0.934720 loss_bbox: 0.334784 loss_dfl: 0.203090 loss: 1.471835 eta: 2 days, 15:12:31 batch_cost: 2.7149 data_cost: 0.0016 ips: 29.4675 images/s [10/14 10:06:08] ppdet.engine INFO: Epoch: [77] [280/366] learning_rate: 0.337268 loss_vfl: 0.937061 loss_bbox: 0.327125 loss_dfl: 0.196914 loss: 1.463474 eta: 2 days, 15:11:33 batch_cost: 2.7479 data_cost: 0.0017 ips: 29.1128 images/s [10/14 10:07:06] ppdet.engine INFO: Epoch: [77] [300/366] learning_rate: 0.337184 loss_vfl: 0.955717 loss_bbox: 0.317311 loss_dfl: 0.190345 loss: 1.467637 eta: 2 days, 15:10:34 batch_cost: 2.7513 data_cost: 0.0016 ips: 29.0767 images/s [10/14 10:08:04] ppdet.engine INFO: Epoch: [77] [320/366] learning_rate: 0.337101 loss_vfl: 0.939404 loss_bbox: 0.328342 loss_dfl: 0.203775 loss: 1.477900 eta: 2 days, 15:09:38 batch_cost: 2.7881 data_cost: 0.0017 ips: 28.6935 images/s [10/14 10:09:03] ppdet.engine INFO: Epoch: [77] [340/366] learning_rate: 0.337018 loss_vfl: 0.938942 loss_bbox: 0.334704 loss_dfl: 0.202083 loss: 1.476476 eta: 2 days, 15:08:41 batch_cost: 2.7875 data_cost: 0.0016 ips: 28.6991 images/s [10/14 10:09:56] ppdet.engine INFO: Epoch: [77] [360/366] learning_rate: 0.336934 loss_vfl: 0.931120 loss_bbox: 0.335466 loss_dfl: 0.198036 loss: 1.458126 eta: 2 days, 15:07:28 batch_cost: 2.4893 data_cost: 0.0016 ips: 32.1373 images/s [10/14 10:10:33] ppdet.engine INFO: Epoch: [78] [ 0/366] learning_rate: 0.336909 loss_vfl: 0.933441 loss_bbox: 0.343287 loss_dfl: 0.198364 loss: 1.470181 eta: 2 days, 15:07:57 batch_cost: 3.3231 data_cost: 0.5604 ips: 24.0736 images/s [10/14 10:11:33] ppdet.engine INFO: Epoch: [78] [ 20/366] learning_rate: 0.336826 loss_vfl: 0.953011 loss_bbox: 0.315859 loss_dfl: 0.196617 loss: 1.478026 eta: 2 days, 15:07:04 batch_cost: 2.8411 data_cost: 0.0018 ips: 28.1582 images/s [10/14 10:12:32] ppdet.engine INFO: Epoch: [78] [ 40/366] learning_rate: 0.336742 loss_vfl: 0.939074 loss_bbox: 0.330177 loss_dfl: 0.199015 loss: 1.484082 eta: 2 days, 15:06:06 batch_cost: 2.7558 data_cost: 0.0018 ips: 29.0294 images/s [10/14 10:13:30] ppdet.engine INFO: Epoch: [78] [ 60/366] learning_rate: 0.336659 loss_vfl: 0.912708 loss_bbox: 0.333650 loss_dfl: 0.200004 loss: 1.445924 eta: 2 days, 15:05:07 batch_cost: 2.7486 data_cost: 0.0017 ips: 29.1060 images/s [10/14 10:14:27] ppdet.engine INFO: Epoch: [78] [ 80/366] learning_rate: 0.336575 loss_vfl: 0.924565 loss_bbox: 0.314846 loss_dfl: 0.194125 loss: 1.444781 eta: 2 days, 15:04:08 batch_cost: 2.7428 data_cost: 0.0016 ips: 29.1668 images/s [10/14 10:15:25] ppdet.engine INFO: Epoch: [78] [100/366] learning_rate: 0.336492 loss_vfl: 0.929474 loss_bbox: 0.355433 loss_dfl: 0.207814 loss: 1.485846 eta: 2 days, 15:03:07 batch_cost: 2.7060 data_cost: 0.0016 ips: 29.5644 images/s [10/14 10:16:22] ppdet.engine INFO: Epoch: [78] [120/366] learning_rate: 0.336408 loss_vfl: 0.937290 loss_bbox: 0.331025 loss_dfl: 0.201215 loss: 1.469841 eta: 2 days, 15:02:07 batch_cost: 2.7230 data_cost: 0.0016 ips: 29.3789 images/s [10/14 10:17:21] ppdet.engine INFO: Epoch: [78] [140/366] learning_rate: 0.336324 loss_vfl: 0.945859 loss_bbox: 0.334051 loss_dfl: 0.202400 loss: 1.479587 eta: 2 days, 15:01:12 batch_cost: 2.8135 data_cost: 0.0017 ips: 28.4345 images/s [10/14 10:18:19] ppdet.engine INFO: Epoch: [78] [160/366] learning_rate: 0.336241 loss_vfl: 0.950850 loss_bbox: 0.311814 loss_dfl: 0.198664 loss: 1.470868 eta: 2 days, 15:00:11 batch_cost: 2.7202 data_cost: 0.0017 ips: 29.4097 images/s [10/14 10:19:17] ppdet.engine INFO: Epoch: [78] [180/366] learning_rate: 0.336157 loss_vfl: 0.931549 loss_bbox: 0.331459 loss_dfl: 0.204366 loss: 1.481341 eta: 2 days, 14:59:13 batch_cost: 2.7527 data_cost: 0.0017 ips: 29.0624 images/s [10/14 10:20:14] ppdet.engine INFO: Epoch: [78] [200/366] learning_rate: 0.336073 loss_vfl: 0.920758 loss_bbox: 0.347552 loss_dfl: 0.208783 loss: 1.467396 eta: 2 days, 14:58:13 batch_cost: 2.7267 data_cost: 0.0016 ips: 29.3397 images/s [10/14 10:21:13] ppdet.engine INFO: Epoch: [78] [220/366] learning_rate: 0.335989 loss_vfl: 0.940529 loss_bbox: 0.343328 loss_dfl: 0.201565 loss: 1.467187 eta: 2 days, 14:57:17 batch_cost: 2.7996 data_cost: 0.0016 ips: 28.5753 images/s [10/14 10:22:13] ppdet.engine INFO: Epoch: [78] [240/366] learning_rate: 0.335905 loss_vfl: 0.931021 loss_bbox: 0.321737 loss_dfl: 0.194763 loss: 1.456209 eta: 2 days, 14:56:23 batch_cost: 2.8290 data_cost: 0.0017 ips: 28.2789 images/s [10/14 10:23:11] ppdet.engine INFO: Epoch: [78] [260/366] learning_rate: 0.335821 loss_vfl: 0.927547 loss_bbox: 0.342209 loss_dfl: 0.199966 loss: 1.465862 eta: 2 days, 14:55:26 batch_cost: 2.7697 data_cost: 0.0016 ips: 28.8843 images/s [10/14 10:24:08] ppdet.engine INFO: Epoch: [78] [280/366] learning_rate: 0.335737 loss_vfl: 0.924000 loss_bbox: 0.351301 loss_dfl: 0.204776 loss: 1.468760 eta: 2 days, 14:54:24 batch_cost: 2.6964 data_cost: 0.0017 ips: 29.6689 images/s [10/14 10:25:06] ppdet.engine INFO: Epoch: [78] [300/366] learning_rate: 0.335653 loss_vfl: 0.937677 loss_bbox: 0.340646 loss_dfl: 0.201076 loss: 1.477152 eta: 2 days, 14:53:23 batch_cost: 2.7137 data_cost: 0.0015 ips: 29.4801 images/s [10/14 10:26:03] ppdet.engine INFO: Epoch: [78] [320/366] learning_rate: 0.335569 loss_vfl: 0.929401 loss_bbox: 0.326272 loss_dfl: 0.194919 loss: 1.454623 eta: 2 days, 14:52:22 batch_cost: 2.7070 data_cost: 0.0017 ips: 29.5535 images/s [10/14 10:27:01] ppdet.engine INFO: Epoch: [78] [340/366] learning_rate: 0.335485 loss_vfl: 0.937666 loss_bbox: 0.333442 loss_dfl: 0.198819 loss: 1.466529 eta: 2 days, 14:51:24 batch_cost: 2.7456 data_cost: 0.0016 ips: 29.1373 images/s [10/14 10:27:54] ppdet.engine INFO: Epoch: [78] [360/366] learning_rate: 0.335400 loss_vfl: 0.940022 loss_bbox: 0.338961 loss_dfl: 0.205223 loss: 1.488065 eta: 2 days, 14:50:12 batch_cost: 2.5135 data_cost: 0.0016 ips: 31.8276 images/s [10/14 10:28:32] ppdet.engine INFO: Epoch: [79] [ 0/366] learning_rate: 0.335375 loss_vfl: 0.941585 loss_bbox: 0.335324 loss_dfl: 0.207398 loss: 1.487507 eta: 2 days, 14:50:43 batch_cost: 3.3801 data_cost: 0.4494 ips: 23.6681 images/s [10/14 10:29:31] ppdet.engine INFO: Epoch: [79] [ 20/366] learning_rate: 0.335291 loss_vfl: 0.928279 loss_bbox: 0.340826 loss_dfl: 0.200916 loss: 1.464851 eta: 2 days, 14:49:47 batch_cost: 2.7884 data_cost: 0.0017 ips: 28.6901 images/s [10/14 10:30:30] ppdet.engine INFO: Epoch: [79] [ 40/366] learning_rate: 0.335207 loss_vfl: 0.942895 loss_bbox: 0.321061 loss_dfl: 0.194402 loss: 1.447496 eta: 2 days, 14:48:51 batch_cost: 2.8057 data_cost: 0.0016 ips: 28.5138 images/s [10/14 10:31:29] ppdet.engine INFO: Epoch: [79] [ 60/366] learning_rate: 0.335122 loss_vfl: 0.941893 loss_bbox: 0.326634 loss_dfl: 0.197310 loss: 1.472264 eta: 2 days, 14:47:56 batch_cost: 2.8113 data_cost: 0.0016 ips: 28.4563 images/s [10/14 10:32:28] ppdet.engine INFO: Epoch: [79] [ 80/366] learning_rate: 0.335038 loss_vfl: 0.943955 loss_bbox: 0.330467 loss_dfl: 0.198728 loss: 1.472944 eta: 2 days, 14:47:00 batch_cost: 2.8038 data_cost: 0.0016 ips: 28.5327 images/s [10/14 10:33:27] ppdet.engine INFO: Epoch: [79] [100/366] learning_rate: 0.334953 loss_vfl: 0.943026 loss_bbox: 0.336592 loss_dfl: 0.203717 loss: 1.487001 eta: 2 days, 14:46:04 batch_cost: 2.7916 data_cost: 0.0016 ips: 28.6576 images/s [10/14 10:34:27] ppdet.engine INFO: Epoch: [79] [120/366] learning_rate: 0.334869 loss_vfl: 0.941774 loss_bbox: 0.337013 loss_dfl: 0.204168 loss: 1.493883 eta: 2 days, 14:45:11 batch_cost: 2.8474 data_cost: 0.0016 ips: 28.0960 images/s [10/14 10:35:25] ppdet.engine INFO: Epoch: [79] [140/366] learning_rate: 0.334784 loss_vfl: 0.937896 loss_bbox: 0.338096 loss_dfl: 0.199956 loss: 1.491305 eta: 2 days, 14:44:12 batch_cost: 2.7344 data_cost: 0.0016 ips: 29.2566 images/s [10/14 10:36:23] ppdet.engine INFO: Epoch: [79] [160/366] learning_rate: 0.334700 loss_vfl: 0.928640 loss_bbox: 0.358721 loss_dfl: 0.207332 loss: 1.516843 eta: 2 days, 14:43:16 batch_cost: 2.7975 data_cost: 0.0016 ips: 28.5969 images/s [10/14 10:37:22] ppdet.engine INFO: Epoch: [79] [180/366] learning_rate: 0.334615 loss_vfl: 0.925117 loss_bbox: 0.342473 loss_dfl: 0.200543 loss: 1.479977 eta: 2 days, 14:42:19 batch_cost: 2.7898 data_cost: 0.0019 ips: 28.6761 images/s [10/14 10:38:20] ppdet.engine INFO: Epoch: [79] [200/366] learning_rate: 0.334531 loss_vfl: 0.928912 loss_bbox: 0.336518 loss_dfl: 0.205493 loss: 1.464061 eta: 2 days, 14:41:20 batch_cost: 2.7365 data_cost: 0.0016 ips: 29.2349 images/s [10/14 10:39:16] ppdet.engine INFO: Epoch: [79] [220/366] learning_rate: 0.334446 loss_vfl: 0.931911 loss_bbox: 0.340616 loss_dfl: 0.204884 loss: 1.468841 eta: 2 days, 14:40:18 batch_cost: 2.6801 data_cost: 0.0017 ips: 29.8496 images/s [10/14 10:40:13] ppdet.engine INFO: Epoch: [79] [240/366] learning_rate: 0.334361 loss_vfl: 0.930249 loss_bbox: 0.347942 loss_dfl: 0.206221 loss: 1.501784 eta: 2 days, 14:39:17 batch_cost: 2.7139 data_cost: 0.0016 ips: 29.4775 images/s [10/14 10:41:11] ppdet.engine INFO: Epoch: [79] [260/366] learning_rate: 0.334276 loss_vfl: 0.947184 loss_bbox: 0.335328 loss_dfl: 0.202605 loss: 1.501181 eta: 2 days, 14:38:19 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0915 images/s [10/14 10:42:09] ppdet.engine INFO: Epoch: [79] [280/366] learning_rate: 0.334191 loss_vfl: 0.938234 loss_bbox: 0.331693 loss_dfl: 0.201906 loss: 1.479993 eta: 2 days, 14:37:21 batch_cost: 2.7601 data_cost: 0.0017 ips: 28.9841 images/s [10/14 10:43:08] ppdet.engine INFO: Epoch: [79] [300/366] learning_rate: 0.334107 loss_vfl: 0.938602 loss_bbox: 0.343444 loss_dfl: 0.206748 loss: 1.481397 eta: 2 days, 14:36:22 batch_cost: 2.7540 data_cost: 0.0016 ips: 29.0483 images/s [10/14 10:44:06] ppdet.engine INFO: Epoch: [79] [320/366] learning_rate: 0.334022 loss_vfl: 0.947256 loss_bbox: 0.329869 loss_dfl: 0.202888 loss: 1.482288 eta: 2 days, 14:35:24 batch_cost: 2.7564 data_cost: 0.0015 ips: 29.0237 images/s [10/14 10:45:04] ppdet.engine INFO: Epoch: [79] [340/366] learning_rate: 0.333937 loss_vfl: 0.952139 loss_bbox: 0.339455 loss_dfl: 0.204132 loss: 1.493969 eta: 2 days, 14:34:28 batch_cost: 2.7857 data_cost: 0.0016 ips: 28.7179 images/s [10/14 10:45:58] ppdet.engine INFO: Epoch: [79] [360/366] learning_rate: 0.333852 loss_vfl: 0.937068 loss_bbox: 0.339111 loss_dfl: 0.210989 loss: 1.502909 eta: 2 days, 14:33:17 batch_cost: 2.5359 data_cost: 0.0016 ips: 31.5475 images/s [10/14 10:46:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 10:46:15] ppdet.engine INFO: Eval iter: 0 [10/14 10:46:54] ppdet.engine INFO: Eval iter: 100 [10/14 10:47:17] ppdet.engine INFO: Eval iter: 200 [10/14 10:47:41] ppdet.engine INFO: Eval iter: 300 [10/14 10:48:04] ppdet.engine INFO: Eval iter: 400 [10/14 10:48:27] ppdet.engine INFO: Eval iter: 500 [10/14 10:48:51] ppdet.engine INFO: Eval iter: 600 [10/14 10:49:12] 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 10:49:13] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.92s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.84s). Accumulating evaluation results... DONE (t=17.20s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.278 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.419 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.291 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.094 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.286 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.462 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.263 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.413 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.442 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.173 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.485 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.684 [10/14 10:51:15] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.378691382481218 [10/14 10:51:15] ppdet.engine INFO: Best test bbox ap is 0.278. [10/14 10:51:15] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 10:51:18] ppdet.engine INFO: Epoch: [80] [ 0/366] learning_rate: 0.333826 loss_vfl: 0.937005 loss_bbox: 0.334751 loss_dfl: 0.203410 loss: 1.490993 eta: 2 days, 14:32:51 batch_cost: 2.3781 data_cost: 0.0017 ips: 33.6408 images/s [10/14 10:52:17] ppdet.engine INFO: Epoch: [80] [ 20/366] learning_rate: 0.333741 loss_vfl: 0.930809 loss_bbox: 0.342595 loss_dfl: 0.213960 loss: 1.506904 eta: 2 days, 14:31:56 batch_cost: 2.8099 data_cost: 0.0018 ips: 28.4709 images/s [10/14 10:53:16] ppdet.engine INFO: Epoch: [80] [ 40/366] learning_rate: 0.333656 loss_vfl: 0.935338 loss_bbox: 0.329721 loss_dfl: 0.203024 loss: 1.468123 eta: 2 days, 14:31:00 batch_cost: 2.7818 data_cost: 0.0016 ips: 28.7579 images/s [10/14 10:54:14] ppdet.engine INFO: Epoch: [80] [ 60/366] learning_rate: 0.333571 loss_vfl: 0.934104 loss_bbox: 0.335137 loss_dfl: 0.202942 loss: 1.476354 eta: 2 days, 14:30:01 batch_cost: 2.7518 data_cost: 0.0016 ips: 29.0721 images/s [10/14 10:55:13] ppdet.engine INFO: Epoch: [80] [ 80/366] learning_rate: 0.333486 loss_vfl: 0.945192 loss_bbox: 0.335572 loss_dfl: 0.202822 loss: 1.482917 eta: 2 days, 14:29:06 batch_cost: 2.8036 data_cost: 0.0023 ips: 28.5346 images/s [10/14 10:56:11] ppdet.engine INFO: Epoch: [80] [100/366] learning_rate: 0.333400 loss_vfl: 0.938122 loss_bbox: 0.331599 loss_dfl: 0.202488 loss: 1.448892 eta: 2 days, 14:28:08 batch_cost: 2.7687 data_cost: 0.0021 ips: 28.8940 images/s [10/14 10:57:10] ppdet.engine INFO: Epoch: [80] [120/366] learning_rate: 0.333315 loss_vfl: 0.925885 loss_bbox: 0.331717 loss_dfl: 0.197408 loss: 1.457861 eta: 2 days, 14:27:11 batch_cost: 2.7747 data_cost: 0.0016 ips: 28.8320 images/s [10/14 10:58:10] ppdet.engine INFO: Epoch: [80] [140/366] learning_rate: 0.333230 loss_vfl: 0.928124 loss_bbox: 0.327805 loss_dfl: 0.198329 loss: 1.456354 eta: 2 days, 14:26:16 batch_cost: 2.8090 data_cost: 0.0016 ips: 28.4794 images/s [10/14 10:59:09] ppdet.engine INFO: Epoch: [80] [160/366] learning_rate: 0.333144 loss_vfl: 0.952492 loss_bbox: 0.329627 loss_dfl: 0.201113 loss: 1.491298 eta: 2 days, 14:25:22 batch_cost: 2.8282 data_cost: 0.0016 ips: 28.2865 images/s [10/14 11:00:08] ppdet.engine INFO: Epoch: [80] [180/366] learning_rate: 0.333059 loss_vfl: 0.954425 loss_bbox: 0.331933 loss_dfl: 0.196479 loss: 1.474238 eta: 2 days, 14:24:24 batch_cost: 2.7711 data_cost: 0.0017 ips: 28.8693 images/s [10/14 11:01:07] ppdet.engine INFO: Epoch: [80] [200/366] learning_rate: 0.332973 loss_vfl: 0.942866 loss_bbox: 0.328780 loss_dfl: 0.199258 loss: 1.484348 eta: 2 days, 14:23:29 batch_cost: 2.8111 data_cost: 0.0016 ips: 28.4586 images/s [10/14 11:02:07] ppdet.engine INFO: Epoch: [80] [220/366] learning_rate: 0.332888 loss_vfl: 0.944237 loss_bbox: 0.320567 loss_dfl: 0.196775 loss: 1.474621 eta: 2 days, 14:22:37 batch_cost: 2.8617 data_cost: 0.0017 ips: 27.9549 images/s [10/14 11:03:06] ppdet.engine INFO: Epoch: [80] [240/366] learning_rate: 0.332802 loss_vfl: 0.953425 loss_bbox: 0.300820 loss_dfl: 0.191663 loss: 1.434434 eta: 2 days, 14:21:39 batch_cost: 2.7579 data_cost: 0.0016 ips: 29.0080 images/s [10/14 11:04:04] ppdet.engine INFO: Epoch: [80] [260/366] learning_rate: 0.332717 loss_vfl: 0.925789 loss_bbox: 0.333476 loss_dfl: 0.197779 loss: 1.448213 eta: 2 days, 14:20:41 batch_cost: 2.7647 data_cost: 0.0017 ips: 28.9364 images/s [10/14 11:05:02] ppdet.engine INFO: Epoch: [80] [280/366] learning_rate: 0.332631 loss_vfl: 0.939178 loss_bbox: 0.330912 loss_dfl: 0.203640 loss: 1.476774 eta: 2 days, 14:19:43 batch_cost: 2.7576 data_cost: 0.0016 ips: 29.0108 images/s [10/14 11:06:02] ppdet.engine INFO: Epoch: [80] [300/366] learning_rate: 0.332545 loss_vfl: 0.943578 loss_bbox: 0.329392 loss_dfl: 0.200249 loss: 1.485046 eta: 2 days, 14:18:48 batch_cost: 2.8164 data_cost: 0.0016 ips: 28.4051 images/s [10/14 11:07:00] ppdet.engine INFO: Epoch: [80] [320/366] learning_rate: 0.332460 loss_vfl: 0.928074 loss_bbox: 0.322940 loss_dfl: 0.196530 loss: 1.454139 eta: 2 days, 14:17:49 batch_cost: 2.7399 data_cost: 0.0016 ips: 29.1982 images/s [10/14 11:08:00] ppdet.engine INFO: Epoch: [80] [340/366] learning_rate: 0.332374 loss_vfl: 0.953319 loss_bbox: 0.328794 loss_dfl: 0.202692 loss: 1.493871 eta: 2 days, 14:16:56 batch_cost: 2.8477 data_cost: 0.0015 ips: 28.0926 images/s [10/14 11:08:54] ppdet.engine INFO: Epoch: [80] [360/366] learning_rate: 0.332288 loss_vfl: 0.935306 loss_bbox: 0.324601 loss_dfl: 0.201750 loss: 1.470837 eta: 2 days, 14:15:47 batch_cost: 2.5520 data_cost: 0.0016 ips: 31.3482 images/s [10/14 11:09:30] ppdet.engine INFO: Epoch: [81] [ 0/366] learning_rate: 0.332262 loss_vfl: 0.939996 loss_bbox: 0.319459 loss_dfl: 0.196970 loss: 1.460140 eta: 2 days, 14:16:11 batch_cost: 3.2947 data_cost: 0.3260 ips: 24.2815 images/s [10/14 11:10:30] ppdet.engine INFO: Epoch: [81] [ 20/366] learning_rate: 0.332177 loss_vfl: 0.918761 loss_bbox: 0.323130 loss_dfl: 0.196706 loss: 1.443520 eta: 2 days, 14:15:16 batch_cost: 2.8179 data_cost: 0.0020 ips: 28.3898 images/s [10/14 11:11:29] ppdet.engine INFO: Epoch: [81] [ 40/366] learning_rate: 0.332091 loss_vfl: 0.926204 loss_bbox: 0.331135 loss_dfl: 0.199538 loss: 1.468886 eta: 2 days, 14:14:21 batch_cost: 2.8224 data_cost: 0.0018 ips: 28.3451 images/s [10/14 11:12:29] ppdet.engine INFO: Epoch: [81] [ 60/366] learning_rate: 0.332005 loss_vfl: 0.933228 loss_bbox: 0.313282 loss_dfl: 0.198387 loss: 1.455124 eta: 2 days, 14:13:28 batch_cost: 2.8359 data_cost: 0.0017 ips: 28.2093 images/s [10/14 11:13:27] ppdet.engine INFO: Epoch: [81] [ 80/366] learning_rate: 0.331919 loss_vfl: 0.934197 loss_bbox: 0.326613 loss_dfl: 0.198190 loss: 1.488391 eta: 2 days, 14:12:31 batch_cost: 2.7790 data_cost: 0.0016 ips: 28.7872 images/s [10/14 11:14:25] ppdet.engine INFO: Epoch: [81] [100/366] learning_rate: 0.331833 loss_vfl: 0.941519 loss_bbox: 0.345026 loss_dfl: 0.207252 loss: 1.481672 eta: 2 days, 14:11:31 batch_cost: 2.7337 data_cost: 0.0016 ips: 29.2645 images/s [10/14 11:15:24] ppdet.engine INFO: Epoch: [81] [120/366] learning_rate: 0.331747 loss_vfl: 0.922314 loss_bbox: 0.332142 loss_dfl: 0.206575 loss: 1.473403 eta: 2 days, 14:10:35 batch_cost: 2.7980 data_cost: 0.0016 ips: 28.5914 images/s [10/14 11:16:22] ppdet.engine INFO: Epoch: [81] [140/366] learning_rate: 0.331660 loss_vfl: 0.924999 loss_bbox: 0.327087 loss_dfl: 0.196634 loss: 1.457931 eta: 2 days, 14:09:38 batch_cost: 2.7673 data_cost: 0.0016 ips: 28.9086 images/s [10/14 11:17:21] ppdet.engine INFO: Epoch: [81] [160/366] learning_rate: 0.331574 loss_vfl: 0.940295 loss_bbox: 0.323289 loss_dfl: 0.198737 loss: 1.454391 eta: 2 days, 14:08:42 batch_cost: 2.7934 data_cost: 0.0016 ips: 28.6388 images/s [10/14 11:18:18] ppdet.engine INFO: Epoch: [81] [180/366] learning_rate: 0.331488 loss_vfl: 0.926730 loss_bbox: 0.334859 loss_dfl: 0.198773 loss: 1.462416 eta: 2 days, 14:07:42 batch_cost: 2.7329 data_cost: 0.0016 ips: 29.2730 images/s [10/14 11:19:17] ppdet.engine INFO: Epoch: [81] [200/366] learning_rate: 0.331402 loss_vfl: 0.941064 loss_bbox: 0.320143 loss_dfl: 0.196483 loss: 1.457521 eta: 2 days, 14:06:46 batch_cost: 2.7801 data_cost: 0.0016 ips: 28.7755 images/s [10/14 11:20:15] ppdet.engine INFO: Epoch: [81] [220/366] learning_rate: 0.331315 loss_vfl: 0.941373 loss_bbox: 0.324486 loss_dfl: 0.197620 loss: 1.472684 eta: 2 days, 14:05:47 batch_cost: 2.7493 data_cost: 0.0016 ips: 29.0982 images/s [10/14 11:21:13] ppdet.engine INFO: Epoch: [81] [240/366] learning_rate: 0.331229 loss_vfl: 0.933141 loss_bbox: 0.329533 loss_dfl: 0.203130 loss: 1.481809 eta: 2 days, 14:04:48 batch_cost: 2.7329 data_cost: 0.0016 ips: 29.2727 images/s [10/14 11:22:12] ppdet.engine INFO: Epoch: [81] [260/366] learning_rate: 0.331143 loss_vfl: 0.932107 loss_bbox: 0.327800 loss_dfl: 0.197191 loss: 1.466246 eta: 2 days, 14:03:52 batch_cost: 2.7971 data_cost: 0.0017 ips: 28.6010 images/s [10/14 11:23:11] ppdet.engine INFO: Epoch: [81] [280/366] learning_rate: 0.331056 loss_vfl: 0.936742 loss_bbox: 0.340328 loss_dfl: 0.204814 loss: 1.464465 eta: 2 days, 14:02:58 batch_cost: 2.8401 data_cost: 0.0016 ips: 28.1683 images/s [10/14 11:24:10] ppdet.engine INFO: Epoch: [81] [300/366] learning_rate: 0.330970 loss_vfl: 0.937432 loss_bbox: 0.331655 loss_dfl: 0.197430 loss: 1.472305 eta: 2 days, 14:02:03 batch_cost: 2.8094 data_cost: 0.0016 ips: 28.4759 images/s [10/14 11:25:08] ppdet.engine INFO: Epoch: [81] [320/366] learning_rate: 0.330883 loss_vfl: 0.932571 loss_bbox: 0.322619 loss_dfl: 0.195302 loss: 1.442382 eta: 2 days, 14:01:05 batch_cost: 2.7496 data_cost: 0.0016 ips: 29.0955 images/s [10/14 11:26:08] ppdet.engine INFO: Epoch: [81] [340/366] learning_rate: 0.330797 loss_vfl: 0.932113 loss_bbox: 0.326759 loss_dfl: 0.198729 loss: 1.462071 eta: 2 days, 14:00:09 batch_cost: 2.8013 data_cost: 0.0016 ips: 28.5586 images/s [10/14 11:27:01] ppdet.engine INFO: Epoch: [81] [360/366] learning_rate: 0.330710 loss_vfl: 0.941068 loss_bbox: 0.317891 loss_dfl: 0.188323 loss: 1.461697 eta: 2 days, 13:58:58 batch_cost: 2.5229 data_cost: 0.0015 ips: 31.7102 images/s [10/14 11:27:34] ppdet.engine INFO: Epoch: [82] [ 0/366] learning_rate: 0.330684 loss_vfl: 0.941068 loss_bbox: 0.333149 loss_dfl: 0.199814 loss: 1.482589 eta: 2 days, 13:59:13 batch_cost: 3.1311 data_cost: 0.3678 ips: 25.5498 images/s [10/14 11:28:37] ppdet.engine INFO: Epoch: [82] [ 20/366] learning_rate: 0.330597 loss_vfl: 0.944361 loss_bbox: 0.350111 loss_dfl: 0.205937 loss: 1.496831 eta: 2 days, 13:58:27 batch_cost: 2.9923 data_cost: 0.0017 ips: 26.7352 images/s [10/14 11:29:37] ppdet.engine INFO: Epoch: [82] [ 40/366] learning_rate: 0.330511 loss_vfl: 0.942272 loss_bbox: 0.332834 loss_dfl: 0.198437 loss: 1.467023 eta: 2 days, 13:57:33 batch_cost: 2.8365 data_cost: 0.0016 ips: 28.2039 images/s [10/14 11:30:38] ppdet.engine INFO: Epoch: [82] [ 60/366] learning_rate: 0.330424 loss_vfl: 0.945419 loss_bbox: 0.323573 loss_dfl: 0.200376 loss: 1.479372 eta: 2 days, 13:56:42 batch_cost: 2.8871 data_cost: 0.0016 ips: 27.7092 images/s [10/14 11:31:38] ppdet.engine INFO: Epoch: [82] [ 80/366] learning_rate: 0.330337 loss_vfl: 0.930919 loss_bbox: 0.335875 loss_dfl: 0.202826 loss: 1.469959 eta: 2 days, 13:55:51 batch_cost: 2.8911 data_cost: 0.0016 ips: 27.6714 images/s [10/14 11:32:39] ppdet.engine INFO: Epoch: [82] [100/366] learning_rate: 0.330250 loss_vfl: 0.945516 loss_bbox: 0.324349 loss_dfl: 0.200647 loss: 1.481371 eta: 2 days, 13:55:00 batch_cost: 2.8907 data_cost: 0.0018 ips: 27.6751 images/s [10/14 11:33:38] ppdet.engine INFO: Epoch: [82] [120/366] learning_rate: 0.330164 loss_vfl: 0.939165 loss_bbox: 0.349090 loss_dfl: 0.208047 loss: 1.486595 eta: 2 days, 13:54:03 batch_cost: 2.7784 data_cost: 0.0016 ips: 28.7936 images/s [10/14 11:34:35] ppdet.engine INFO: Epoch: [82] [140/366] learning_rate: 0.330077 loss_vfl: 0.937942 loss_bbox: 0.333121 loss_dfl: 0.195861 loss: 1.476363 eta: 2 days, 13:53:04 batch_cost: 2.7246 data_cost: 0.0016 ips: 29.3616 images/s [10/14 11:35:34] ppdet.engine INFO: Epoch: [82] [160/366] learning_rate: 0.329990 loss_vfl: 0.932455 loss_bbox: 0.337340 loss_dfl: 0.198508 loss: 1.479967 eta: 2 days, 13:52:09 batch_cost: 2.8234 data_cost: 0.0016 ips: 28.3350 images/s [10/14 11:36:35] ppdet.engine INFO: Epoch: [82] [180/366] learning_rate: 0.329903 loss_vfl: 0.920446 loss_bbox: 0.337706 loss_dfl: 0.198689 loss: 1.452681 eta: 2 days, 13:51:16 batch_cost: 2.8441 data_cost: 0.0016 ips: 28.1288 images/s [10/14 11:37:33] ppdet.engine INFO: Epoch: [82] [200/366] learning_rate: 0.329816 loss_vfl: 0.935936 loss_bbox: 0.328552 loss_dfl: 0.205780 loss: 1.479927 eta: 2 days, 13:50:19 batch_cost: 2.7897 data_cost: 0.0016 ips: 28.6772 images/s [10/14 11:38:31] ppdet.engine INFO: Epoch: [82] [220/366] learning_rate: 0.329729 loss_vfl: 0.950503 loss_bbox: 0.329618 loss_dfl: 0.203248 loss: 1.474501 eta: 2 days, 13:49:21 batch_cost: 2.7541 data_cost: 0.0016 ips: 29.0478 images/s [10/14 11:39:29] ppdet.engine INFO: Epoch: [82] [240/366] learning_rate: 0.329641 loss_vfl: 0.949131 loss_bbox: 0.335862 loss_dfl: 0.198882 loss: 1.459697 eta: 2 days, 13:48:22 batch_cost: 2.7391 data_cost: 0.0029 ips: 29.2067 images/s [10/14 11:40:28] ppdet.engine INFO: Epoch: [82] [260/366] learning_rate: 0.329554 loss_vfl: 0.930034 loss_bbox: 0.337642 loss_dfl: 0.198245 loss: 1.460758 eta: 2 days, 13:47:25 batch_cost: 2.7748 data_cost: 0.0016 ips: 28.8309 images/s [10/14 11:41:26] ppdet.engine INFO: Epoch: [82] [280/366] learning_rate: 0.329467 loss_vfl: 0.944397 loss_bbox: 0.321118 loss_dfl: 0.201167 loss: 1.469721 eta: 2 days, 13:46:28 batch_cost: 2.7710 data_cost: 0.0017 ips: 28.8709 images/s [10/14 11:42:25] ppdet.engine INFO: Epoch: [82] [300/366] learning_rate: 0.329380 loss_vfl: 0.940390 loss_bbox: 0.333992 loss_dfl: 0.202710 loss: 1.490337 eta: 2 days, 13:45:32 batch_cost: 2.8040 data_cost: 0.0017 ips: 28.5308 images/s [10/14 11:43:23] ppdet.engine INFO: Epoch: [82] [320/366] learning_rate: 0.329292 loss_vfl: 0.933881 loss_bbox: 0.329014 loss_dfl: 0.200704 loss: 1.444200 eta: 2 days, 13:44:34 batch_cost: 2.7479 data_cost: 0.0016 ips: 29.1133 images/s [10/14 11:44:21] ppdet.engine INFO: Epoch: [82] [340/366] learning_rate: 0.329205 loss_vfl: 0.940173 loss_bbox: 0.332843 loss_dfl: 0.203539 loss: 1.476391 eta: 2 days, 13:43:34 batch_cost: 2.7334 data_cost: 0.0016 ips: 29.2673 images/s [10/14 11:45:13] ppdet.engine INFO: Epoch: [82] [360/366] learning_rate: 0.329118 loss_vfl: 0.949508 loss_bbox: 0.350218 loss_dfl: 0.206067 loss: 1.506249 eta: 2 days, 13:42:23 batch_cost: 2.4955 data_cost: 0.0016 ips: 32.0579 images/s [10/14 11:45:52] ppdet.engine INFO: Epoch: [83] [ 0/366] learning_rate: 0.329092 loss_vfl: 0.949508 loss_bbox: 0.337503 loss_dfl: 0.205228 loss: 1.503719 eta: 2 days, 13:42:51 batch_cost: 3.3650 data_cost: 0.3953 ips: 23.7744 images/s [10/14 11:46:51] ppdet.engine INFO: Epoch: [83] [ 20/366] learning_rate: 0.329004 loss_vfl: 0.925678 loss_bbox: 0.334104 loss_dfl: 0.208874 loss: 1.476758 eta: 2 days, 13:41:55 batch_cost: 2.7945 data_cost: 0.0018 ips: 28.6273 images/s [10/14 11:47:51] ppdet.engine INFO: Epoch: [83] [ 40/366] learning_rate: 0.328917 loss_vfl: 0.926285 loss_bbox: 0.318179 loss_dfl: 0.195792 loss: 1.463247 eta: 2 days, 13:41:03 batch_cost: 2.8666 data_cost: 0.0016 ips: 27.9076 images/s [10/14 11:48:49] ppdet.engine INFO: Epoch: [83] [ 60/366] learning_rate: 0.328829 loss_vfl: 0.923949 loss_bbox: 0.330048 loss_dfl: 0.198967 loss: 1.452648 eta: 2 days, 13:40:04 batch_cost: 2.7423 data_cost: 0.0016 ips: 29.1728 images/s [10/14 11:49:46] ppdet.engine INFO: Epoch: [83] [ 80/366] learning_rate: 0.328742 loss_vfl: 0.946492 loss_bbox: 0.321173 loss_dfl: 0.195033 loss: 1.476133 eta: 2 days, 13:39:04 batch_cost: 2.7158 data_cost: 0.0016 ips: 29.4569 images/s [10/14 11:50:44] ppdet.engine INFO: Epoch: [83] [100/366] learning_rate: 0.328654 loss_vfl: 0.926680 loss_bbox: 0.340550 loss_dfl: 0.200786 loss: 1.464269 eta: 2 days, 13:38:05 batch_cost: 2.7422 data_cost: 0.0016 ips: 29.1738 images/s [10/14 11:51:42] ppdet.engine INFO: Epoch: [83] [120/366] learning_rate: 0.328566 loss_vfl: 0.922237 loss_bbox: 0.338769 loss_dfl: 0.198225 loss: 1.443226 eta: 2 days, 13:37:06 batch_cost: 2.7365 data_cost: 0.0016 ips: 29.2342 images/s [10/14 11:52:41] ppdet.engine INFO: Epoch: [83] [140/366] learning_rate: 0.328479 loss_vfl: 0.936473 loss_bbox: 0.336625 loss_dfl: 0.201359 loss: 1.453583 eta: 2 days, 13:36:10 batch_cost: 2.7922 data_cost: 0.0017 ips: 28.6512 images/s [10/14 11:53:38] ppdet.engine INFO: Epoch: [83] [160/366] learning_rate: 0.328391 loss_vfl: 0.947120 loss_bbox: 0.339719 loss_dfl: 0.206710 loss: 1.479770 eta: 2 days, 13:35:10 batch_cost: 2.7210 data_cost: 0.0016 ips: 29.4007 images/s [10/14 11:54:36] ppdet.engine INFO: Epoch: [83] [180/366] learning_rate: 0.328303 loss_vfl: 0.943020 loss_bbox: 0.328771 loss_dfl: 0.201516 loss: 1.471963 eta: 2 days, 13:34:12 batch_cost: 2.7579 data_cost: 0.0016 ips: 29.0074 images/s [10/14 11:55:34] ppdet.engine INFO: Epoch: [83] [200/366] learning_rate: 0.328215 loss_vfl: 0.931504 loss_bbox: 0.329209 loss_dfl: 0.201879 loss: 1.468031 eta: 2 days, 13:33:13 batch_cost: 2.7371 data_cost: 0.0016 ips: 29.2275 images/s [10/14 11:56:34] ppdet.engine INFO: Epoch: [83] [220/366] learning_rate: 0.328127 loss_vfl: 0.914000 loss_bbox: 0.331849 loss_dfl: 0.200010 loss: 1.457479 eta: 2 days, 13:32:17 batch_cost: 2.7985 data_cost: 0.0016 ips: 28.5872 images/s [10/14 11:57:31] ppdet.engine INFO: Epoch: [83] [240/366] learning_rate: 0.328040 loss_vfl: 0.949262 loss_bbox: 0.328168 loss_dfl: 0.197584 loss: 1.469203 eta: 2 days, 13:31:18 batch_cost: 2.7372 data_cost: 0.0016 ips: 29.2266 images/s [10/14 11:58:30] ppdet.engine INFO: Epoch: [83] [260/366] learning_rate: 0.327952 loss_vfl: 0.927011 loss_bbox: 0.322907 loss_dfl: 0.198294 loss: 1.459919 eta: 2 days, 13:30:21 batch_cost: 2.7777 data_cost: 0.0016 ips: 28.8013 images/s [10/14 11:59:29] ppdet.engine INFO: Epoch: [83] [280/366] learning_rate: 0.327864 loss_vfl: 0.949794 loss_bbox: 0.312225 loss_dfl: 0.192119 loss: 1.435898 eta: 2 days, 13:29:27 batch_cost: 2.8461 data_cost: 0.0016 ips: 28.1085 images/s [10/14 12:00:28] ppdet.engine INFO: Epoch: [83] [300/366] learning_rate: 0.327776 loss_vfl: 0.943646 loss_bbox: 0.322707 loss_dfl: 0.196122 loss: 1.471672 eta: 2 days, 13:28:31 batch_cost: 2.7809 data_cost: 0.0016 ips: 28.7674 images/s [10/14 12:01:27] ppdet.engine INFO: Epoch: [83] [320/366] learning_rate: 0.327688 loss_vfl: 0.927648 loss_bbox: 0.348983 loss_dfl: 0.209503 loss: 1.491658 eta: 2 days, 13:27:34 batch_cost: 2.7765 data_cost: 0.0016 ips: 28.8133 images/s [10/14 12:02:27] ppdet.engine INFO: Epoch: [83] [340/366] learning_rate: 0.327599 loss_vfl: 0.934815 loss_bbox: 0.330840 loss_dfl: 0.199208 loss: 1.469065 eta: 2 days, 13:26:40 batch_cost: 2.8437 data_cost: 0.0016 ips: 28.1322 images/s [10/14 12:03:21] ppdet.engine INFO: Epoch: [83] [360/366] learning_rate: 0.327511 loss_vfl: 0.941466 loss_bbox: 0.335153 loss_dfl: 0.207542 loss: 1.483955 eta: 2 days, 13:25:32 batch_cost: 2.5652 data_cost: 0.0016 ips: 31.1867 images/s [10/14 12:03:58] ppdet.engine INFO: Epoch: [84] [ 0/366] learning_rate: 0.327485 loss_vfl: 0.944665 loss_bbox: 0.333289 loss_dfl: 0.204577 loss: 1.476633 eta: 2 days, 13:25:56 batch_cost: 3.3413 data_cost: 0.3250 ips: 23.9426 images/s [10/14 12:04:59] ppdet.engine INFO: Epoch: [84] [ 20/366] learning_rate: 0.327397 loss_vfl: 0.933256 loss_bbox: 0.323901 loss_dfl: 0.195279 loss: 1.438909 eta: 2 days, 13:25:02 batch_cost: 2.8428 data_cost: 0.0021 ips: 28.1415 images/s [10/14 12:05:56] ppdet.engine INFO: Epoch: [84] [ 40/366] learning_rate: 0.327308 loss_vfl: 0.928775 loss_bbox: 0.305766 loss_dfl: 0.191318 loss: 1.442691 eta: 2 days, 13:24:03 batch_cost: 2.7403 data_cost: 0.0019 ips: 29.1936 images/s [10/14 12:06:55] ppdet.engine INFO: Epoch: [84] [ 60/366] learning_rate: 0.327220 loss_vfl: 0.939208 loss_bbox: 0.317442 loss_dfl: 0.197293 loss: 1.468134 eta: 2 days, 13:23:06 batch_cost: 2.7720 data_cost: 0.0021 ips: 28.8597 images/s [10/14 12:07:53] ppdet.engine INFO: Epoch: [84] [ 80/366] learning_rate: 0.327132 loss_vfl: 0.944149 loss_bbox: 0.347407 loss_dfl: 0.206285 loss: 1.496762 eta: 2 days, 13:22:09 batch_cost: 2.7833 data_cost: 0.0018 ips: 28.7426 images/s [10/14 12:08:52] ppdet.engine INFO: Epoch: [84] [100/366] learning_rate: 0.327043 loss_vfl: 0.931744 loss_bbox: 0.309424 loss_dfl: 0.193134 loss: 1.442071 eta: 2 days, 13:21:13 batch_cost: 2.7908 data_cost: 0.0018 ips: 28.6652 images/s [10/14 12:09:49] ppdet.engine INFO: Epoch: [84] [120/366] learning_rate: 0.326955 loss_vfl: 0.929197 loss_bbox: 0.334793 loss_dfl: 0.205749 loss: 1.472862 eta: 2 days, 13:20:13 batch_cost: 2.7163 data_cost: 0.0021 ips: 29.4515 images/s [10/14 12:10:48] ppdet.engine INFO: Epoch: [84] [140/366] learning_rate: 0.326866 loss_vfl: 0.929580 loss_bbox: 0.318807 loss_dfl: 0.193387 loss: 1.445577 eta: 2 days, 13:19:16 batch_cost: 2.7756 data_cost: 0.0018 ips: 28.8226 images/s [10/14 12:11:48] ppdet.engine INFO: Epoch: [84] [160/366] learning_rate: 0.326778 loss_vfl: 0.931307 loss_bbox: 0.338352 loss_dfl: 0.205159 loss: 1.472102 eta: 2 days, 13:18:22 batch_cost: 2.8433 data_cost: 0.0021 ips: 28.1368 images/s [10/14 12:12:46] ppdet.engine INFO: Epoch: [84] [180/366] learning_rate: 0.326689 loss_vfl: 0.904583 loss_bbox: 0.322152 loss_dfl: 0.196678 loss: 1.452406 eta: 2 days, 13:17:24 batch_cost: 2.7499 data_cost: 0.0019 ips: 29.0921 images/s [10/14 12:13:43] ppdet.engine INFO: Epoch: [84] [200/366] learning_rate: 0.326601 loss_vfl: 0.919057 loss_bbox: 0.318013 loss_dfl: 0.193087 loss: 1.446628 eta: 2 days, 13:16:24 batch_cost: 2.7303 data_cost: 0.0016 ips: 29.3010 images/s [10/14 12:14:44] ppdet.engine INFO: Epoch: [84] [220/366] learning_rate: 0.326512 loss_vfl: 0.945572 loss_bbox: 0.337297 loss_dfl: 0.195831 loss: 1.500313 eta: 2 days, 13:15:33 batch_cost: 2.8837 data_cost: 0.0018 ips: 27.7419 images/s [10/14 12:15:43] ppdet.engine INFO: Epoch: [84] [240/366] learning_rate: 0.326424 loss_vfl: 0.938677 loss_bbox: 0.344350 loss_dfl: 0.202553 loss: 1.501991 eta: 2 days, 13:14:36 batch_cost: 2.7888 data_cost: 0.0016 ips: 28.6861 images/s [10/14 12:16:40] ppdet.engine INFO: Epoch: [84] [260/366] learning_rate: 0.326335 loss_vfl: 0.942264 loss_bbox: 0.348676 loss_dfl: 0.200962 loss: 1.503232 eta: 2 days, 13:13:36 batch_cost: 2.7040 data_cost: 0.0017 ips: 29.5861 images/s [10/14 12:17:38] ppdet.engine INFO: Epoch: [84] [280/366] learning_rate: 0.326246 loss_vfl: 0.929892 loss_bbox: 0.315069 loss_dfl: 0.201833 loss: 1.450563 eta: 2 days, 13:12:37 batch_cost: 2.7473 data_cost: 0.0016 ips: 29.1194 images/s [10/14 12:18:36] ppdet.engine INFO: Epoch: [84] [300/366] learning_rate: 0.326157 loss_vfl: 0.935914 loss_bbox: 0.323813 loss_dfl: 0.204265 loss: 1.473771 eta: 2 days, 13:11:38 batch_cost: 2.7337 data_cost: 0.0017 ips: 29.2642 images/s [10/14 12:19:35] ppdet.engine INFO: Epoch: [84] [320/366] learning_rate: 0.326069 loss_vfl: 0.931576 loss_bbox: 0.327390 loss_dfl: 0.194263 loss: 1.456080 eta: 2 days, 13:10:43 batch_cost: 2.8188 data_cost: 0.0016 ips: 28.3811 images/s [10/14 12:20:33] ppdet.engine INFO: Epoch: [84] [340/366] learning_rate: 0.325980 loss_vfl: 0.927332 loss_bbox: 0.332575 loss_dfl: 0.199687 loss: 1.464756 eta: 2 days, 13:09:44 batch_cost: 2.7410 data_cost: 0.0017 ips: 29.1869 images/s [10/14 12:21:27] ppdet.engine INFO: Epoch: [84] [360/366] learning_rate: 0.325891 loss_vfl: 0.933416 loss_bbox: 0.333386 loss_dfl: 0.206340 loss: 1.467364 eta: 2 days, 13:08:35 batch_cost: 2.5231 data_cost: 0.0017 ips: 31.7070 images/s [10/14 12:22:05] ppdet.engine INFO: Epoch: [85] [ 0/366] learning_rate: 0.325864 loss_vfl: 0.932445 loss_bbox: 0.320165 loss_dfl: 0.199300 loss: 1.447242 eta: 2 days, 13:09:01 batch_cost: 3.3834 data_cost: 0.4384 ips: 23.6451 images/s [10/14 12:23:06] ppdet.engine INFO: Epoch: [85] [ 20/366] learning_rate: 0.325775 loss_vfl: 0.914477 loss_bbox: 0.332892 loss_dfl: 0.202363 loss: 1.448401 eta: 2 days, 13:08:10 batch_cost: 2.8990 data_cost: 0.0018 ips: 27.5954 images/s [10/14 12:24:01] ppdet.engine INFO: Epoch: [85] [ 40/366] learning_rate: 0.325686 loss_vfl: 0.932337 loss_bbox: 0.315402 loss_dfl: 0.194198 loss: 1.439352 eta: 2 days, 13:07:07 batch_cost: 2.6486 data_cost: 0.0016 ips: 30.2049 images/s [10/14 12:25:00] ppdet.engine INFO: Epoch: [85] [ 60/366] learning_rate: 0.325597 loss_vfl: 0.932958 loss_bbox: 0.323864 loss_dfl: 0.198652 loss: 1.457069 eta: 2 days, 13:06:10 batch_cost: 2.7755 data_cost: 0.0016 ips: 28.8238 images/s [10/14 12:25:59] ppdet.engine INFO: Epoch: [85] [ 80/366] learning_rate: 0.325508 loss_vfl: 0.939781 loss_bbox: 0.331155 loss_dfl: 0.199232 loss: 1.463117 eta: 2 days, 13:05:14 batch_cost: 2.7995 data_cost: 0.0016 ips: 28.5770 images/s [10/14 12:26:58] ppdet.engine INFO: Epoch: [85] [100/366] learning_rate: 0.325419 loss_vfl: 0.933839 loss_bbox: 0.335794 loss_dfl: 0.203579 loss: 1.482865 eta: 2 days, 13:04:18 batch_cost: 2.7943 data_cost: 0.0016 ips: 28.6299 images/s [10/14 12:27:57] ppdet.engine INFO: Epoch: [85] [120/366] learning_rate: 0.325330 loss_vfl: 0.947412 loss_bbox: 0.312172 loss_dfl: 0.196945 loss: 1.462207 eta: 2 days, 13:03:22 batch_cost: 2.8119 data_cost: 0.0016 ips: 28.4509 images/s [10/14 12:28:55] ppdet.engine INFO: Epoch: [85] [140/366] learning_rate: 0.325240 loss_vfl: 0.935476 loss_bbox: 0.337561 loss_dfl: 0.203530 loss: 1.464550 eta: 2 days, 13:02:25 batch_cost: 2.7745 data_cost: 0.0016 ips: 28.8343 images/s [10/14 12:29:55] ppdet.engine INFO: Epoch: [85] [160/366] learning_rate: 0.325151 loss_vfl: 0.938753 loss_bbox: 0.338585 loss_dfl: 0.204310 loss: 1.470124 eta: 2 days, 13:01:30 batch_cost: 2.8146 data_cost: 0.0016 ips: 28.4233 images/s [10/14 12:30:53] ppdet.engine INFO: Epoch: [85] [180/366] learning_rate: 0.325062 loss_vfl: 0.909048 loss_bbox: 0.333314 loss_dfl: 0.191828 loss: 1.426869 eta: 2 days, 13:00:34 batch_cost: 2.7846 data_cost: 0.0016 ips: 28.7296 images/s [10/14 12:31:53] ppdet.engine INFO: Epoch: [85] [200/366] learning_rate: 0.324973 loss_vfl: 0.936002 loss_bbox: 0.333230 loss_dfl: 0.205062 loss: 1.479575 eta: 2 days, 12:59:40 batch_cost: 2.8341 data_cost: 0.0016 ips: 28.2272 images/s [10/14 12:32:52] ppdet.engine INFO: Epoch: [85] [220/366] learning_rate: 0.324883 loss_vfl: 0.940135 loss_bbox: 0.329301 loss_dfl: 0.196607 loss: 1.469643 eta: 2 days, 12:58:45 batch_cost: 2.8179 data_cost: 0.0016 ips: 28.3897 images/s [10/14 12:33:51] ppdet.engine INFO: Epoch: [85] [240/366] learning_rate: 0.324794 loss_vfl: 0.946755 loss_bbox: 0.318382 loss_dfl: 0.195385 loss: 1.454150 eta: 2 days, 12:57:48 batch_cost: 2.7906 data_cost: 0.0016 ips: 28.6678 images/s [10/14 12:34:50] ppdet.engine INFO: Epoch: [85] [260/366] learning_rate: 0.324704 loss_vfl: 0.925868 loss_bbox: 0.319210 loss_dfl: 0.197657 loss: 1.460565 eta: 2 days, 12:56:51 batch_cost: 2.7681 data_cost: 0.0016 ips: 28.9006 images/s [10/14 12:35:47] ppdet.engine INFO: Epoch: [85] [280/366] learning_rate: 0.324615 loss_vfl: 0.932732 loss_bbox: 0.314016 loss_dfl: 0.196987 loss: 1.441657 eta: 2 days, 12:55:50 batch_cost: 2.6927 data_cost: 0.0028 ips: 29.7097 images/s [10/14 12:36:45] ppdet.engine INFO: Epoch: [85] [300/366] learning_rate: 0.324525 loss_vfl: 0.947063 loss_bbox: 0.334202 loss_dfl: 0.207962 loss: 1.476880 eta: 2 days, 12:54:52 batch_cost: 2.7683 data_cost: 0.0017 ips: 28.8982 images/s [10/14 12:37:44] ppdet.engine INFO: Epoch: [85] [320/366] learning_rate: 0.324436 loss_vfl: 0.927665 loss_bbox: 0.332331 loss_dfl: 0.201378 loss: 1.472612 eta: 2 days, 12:53:56 batch_cost: 2.7886 data_cost: 0.0017 ips: 28.6884 images/s [10/14 12:38:43] ppdet.engine INFO: Epoch: [85] [340/366] learning_rate: 0.324346 loss_vfl: 0.955340 loss_bbox: 0.330474 loss_dfl: 0.203459 loss: 1.481668 eta: 2 days, 12:52:59 batch_cost: 2.7823 data_cost: 0.0016 ips: 28.7529 images/s [10/14 12:39:36] ppdet.engine INFO: Epoch: [85] [360/366] learning_rate: 0.324256 loss_vfl: 0.933481 loss_bbox: 0.346669 loss_dfl: 0.208039 loss: 1.481117 eta: 2 days, 12:51:50 batch_cost: 2.5275 data_cost: 0.0022 ips: 31.6515 images/s [10/14 12:40:12] ppdet.engine INFO: Epoch: [86] [ 0/366] learning_rate: 0.324230 loss_vfl: 0.928465 loss_bbox: 0.338081 loss_dfl: 0.200757 loss: 1.476032 eta: 2 days, 12:52:09 batch_cost: 3.2627 data_cost: 0.4962 ips: 24.5193 images/s [10/14 12:41:10] ppdet.engine INFO: Epoch: [86] [ 20/366] learning_rate: 0.324140 loss_vfl: 0.926332 loss_bbox: 0.318492 loss_dfl: 0.194776 loss: 1.446310 eta: 2 days, 12:51:11 batch_cost: 2.7456 data_cost: 0.0018 ips: 29.1374 images/s [10/14 12:42:10] ppdet.engine INFO: Epoch: [86] [ 40/366] learning_rate: 0.324050 loss_vfl: 0.921377 loss_bbox: 0.344700 loss_dfl: 0.206409 loss: 1.480341 eta: 2 days, 12:50:15 batch_cost: 2.8077 data_cost: 0.0017 ips: 28.4933 images/s [10/14 12:43:10] ppdet.engine INFO: Epoch: [86] [ 60/366] learning_rate: 0.323960 loss_vfl: 0.928511 loss_bbox: 0.342178 loss_dfl: 0.212465 loss: 1.470057 eta: 2 days, 12:49:22 batch_cost: 2.8527 data_cost: 0.0016 ips: 28.0435 images/s [10/14 12:44:08] ppdet.engine INFO: Epoch: [86] [ 80/366] learning_rate: 0.323870 loss_vfl: 0.936033 loss_bbox: 0.329151 loss_dfl: 0.193337 loss: 1.460115 eta: 2 days, 12:48:24 batch_cost: 2.7454 data_cost: 0.0016 ips: 29.1397 images/s [10/14 12:45:07] ppdet.engine INFO: Epoch: [86] [100/366] learning_rate: 0.323781 loss_vfl: 0.919466 loss_bbox: 0.321310 loss_dfl: 0.200154 loss: 1.469208 eta: 2 days, 12:47:28 batch_cost: 2.7992 data_cost: 0.0016 ips: 28.5801 images/s [10/14 12:46:06] ppdet.engine INFO: Epoch: [86] [120/366] learning_rate: 0.323691 loss_vfl: 0.932598 loss_bbox: 0.331999 loss_dfl: 0.200576 loss: 1.472018 eta: 2 days, 12:46:33 batch_cost: 2.8229 data_cost: 0.0016 ips: 28.3395 images/s [10/14 12:47:05] ppdet.engine INFO: Epoch: [86] [140/366] learning_rate: 0.323601 loss_vfl: 0.920207 loss_bbox: 0.331937 loss_dfl: 0.203947 loss: 1.470414 eta: 2 days, 12:45:36 batch_cost: 2.7709 data_cost: 0.0016 ips: 28.8712 images/s [10/14 12:48:05] ppdet.engine INFO: Epoch: [86] [160/366] learning_rate: 0.323511 loss_vfl: 0.952068 loss_bbox: 0.309144 loss_dfl: 0.189503 loss: 1.458207 eta: 2 days, 12:44:42 batch_cost: 2.8413 data_cost: 0.0016 ips: 28.1563 images/s [10/14 12:49:04] ppdet.engine INFO: Epoch: [86] [180/366] learning_rate: 0.323421 loss_vfl: 0.936002 loss_bbox: 0.330874 loss_dfl: 0.201311 loss: 1.474086 eta: 2 days, 12:43:46 batch_cost: 2.8033 data_cost: 0.0016 ips: 28.5380 images/s [10/14 12:50:03] ppdet.engine INFO: Epoch: [86] [200/366] learning_rate: 0.323331 loss_vfl: 0.939128 loss_bbox: 0.319536 loss_dfl: 0.186780 loss: 1.440998 eta: 2 days, 12:42:51 batch_cost: 2.8176 data_cost: 0.0016 ips: 28.3926 images/s [10/14 12:51:03] ppdet.engine INFO: Epoch: [86] [220/366] learning_rate: 0.323240 loss_vfl: 0.928115 loss_bbox: 0.335521 loss_dfl: 0.202646 loss: 1.473093 eta: 2 days, 12:41:56 batch_cost: 2.8080 data_cost: 0.0018 ips: 28.4901 images/s [10/14 12:52:01] ppdet.engine INFO: Epoch: [86] [240/366] learning_rate: 0.323150 loss_vfl: 0.928836 loss_bbox: 0.331562 loss_dfl: 0.199647 loss: 1.469649 eta: 2 days, 12:40:57 batch_cost: 2.7422 data_cost: 0.0016 ips: 29.1733 images/s [10/14 12:52:58] ppdet.engine INFO: Epoch: [86] [260/366] learning_rate: 0.323060 loss_vfl: 0.929252 loss_bbox: 0.345924 loss_dfl: 0.207230 loss: 1.489144 eta: 2 days, 12:39:57 batch_cost: 2.7171 data_cost: 0.0015 ips: 29.4434 images/s [10/14 12:53:57] ppdet.engine INFO: Epoch: [86] [280/366] learning_rate: 0.322970 loss_vfl: 0.929619 loss_bbox: 0.333502 loss_dfl: 0.209992 loss: 1.489961 eta: 2 days, 12:39:02 batch_cost: 2.8133 data_cost: 0.0016 ips: 28.4365 images/s [10/14 12:54:55] ppdet.engine INFO: Epoch: [86] [300/366] learning_rate: 0.322880 loss_vfl: 0.936383 loss_bbox: 0.314999 loss_dfl: 0.191800 loss: 1.448087 eta: 2 days, 12:38:05 batch_cost: 2.7778 data_cost: 0.0016 ips: 28.7995 images/s [10/14 12:55:55] ppdet.engine INFO: Epoch: [86] [320/366] learning_rate: 0.322789 loss_vfl: 0.929629 loss_bbox: 0.323985 loss_dfl: 0.198266 loss: 1.450004 eta: 2 days, 12:37:12 batch_cost: 2.8504 data_cost: 0.0017 ips: 28.0665 images/s [10/14 12:56:55] ppdet.engine INFO: Epoch: [86] [340/366] learning_rate: 0.322699 loss_vfl: 0.934985 loss_bbox: 0.323203 loss_dfl: 0.200612 loss: 1.466824 eta: 2 days, 12:36:17 batch_cost: 2.8217 data_cost: 0.0016 ips: 28.3518 images/s [10/14 12:57:51] ppdet.engine INFO: Epoch: [86] [360/366] learning_rate: 0.322609 loss_vfl: 0.935877 loss_bbox: 0.343924 loss_dfl: 0.207040 loss: 1.486982 eta: 2 days, 12:35:14 batch_cost: 2.6448 data_cost: 0.0017 ips: 30.2483 images/s [10/14 12:58:30] ppdet.engine INFO: Epoch: [87] [ 0/366] learning_rate: 0.322581 loss_vfl: 0.930759 loss_bbox: 0.343713 loss_dfl: 0.206355 loss: 1.482008 eta: 2 days, 12:35:39 batch_cost: 3.4807 data_cost: 0.5096 ips: 22.9836 images/s [10/14 12:59:31] ppdet.engine INFO: Epoch: [87] [ 20/366] learning_rate: 0.322491 loss_vfl: 0.934776 loss_bbox: 0.329430 loss_dfl: 0.199572 loss: 1.460509 eta: 2 days, 12:34:47 batch_cost: 2.8730 data_cost: 0.0018 ips: 27.8459 images/s [10/14 13:00:31] ppdet.engine INFO: Epoch: [87] [ 40/366] learning_rate: 0.322400 loss_vfl: 0.938212 loss_bbox: 0.330291 loss_dfl: 0.206961 loss: 1.458266 eta: 2 days, 12:33:54 batch_cost: 2.8686 data_cost: 0.0017 ips: 27.8880 images/s [10/14 13:01:30] ppdet.engine INFO: Epoch: [87] [ 60/366] learning_rate: 0.322310 loss_vfl: 0.942929 loss_bbox: 0.322444 loss_dfl: 0.202050 loss: 1.455139 eta: 2 days, 12:32:58 batch_cost: 2.7881 data_cost: 0.0016 ips: 28.6939 images/s [10/14 13:02:30] ppdet.engine INFO: Epoch: [87] [ 80/366] learning_rate: 0.322219 loss_vfl: 0.923855 loss_bbox: 0.342753 loss_dfl: 0.204134 loss: 1.478431 eta: 2 days, 12:32:03 batch_cost: 2.8330 data_cost: 0.0023 ips: 28.2384 images/s [10/14 13:03:28] ppdet.engine INFO: Epoch: [87] [100/366] learning_rate: 0.322129 loss_vfl: 0.941535 loss_bbox: 0.330521 loss_dfl: 0.203586 loss: 1.470603 eta: 2 days, 12:31:06 batch_cost: 2.7717 data_cost: 0.0017 ips: 28.8632 images/s [10/14 13:04:27] ppdet.engine INFO: Epoch: [87] [120/366] learning_rate: 0.322038 loss_vfl: 0.936994 loss_bbox: 0.309182 loss_dfl: 0.198144 loss: 1.461880 eta: 2 days, 12:30:11 batch_cost: 2.8261 data_cost: 0.0016 ips: 28.3072 images/s [10/14 13:05:26] ppdet.engine INFO: Epoch: [87] [140/366] learning_rate: 0.321947 loss_vfl: 0.919343 loss_bbox: 0.335031 loss_dfl: 0.201177 loss: 1.473179 eta: 2 days, 12:29:14 batch_cost: 2.7762 data_cost: 0.0017 ips: 28.8166 images/s [10/14 13:06:24] ppdet.engine INFO: Epoch: [87] [160/366] learning_rate: 0.321857 loss_vfl: 0.923212 loss_bbox: 0.359270 loss_dfl: 0.214846 loss: 1.498484 eta: 2 days, 12:28:16 batch_cost: 2.7437 data_cost: 0.0015 ips: 29.1582 images/s [10/14 13:07:23] ppdet.engine INFO: Epoch: [87] [180/366] learning_rate: 0.321766 loss_vfl: 0.939978 loss_bbox: 0.316058 loss_dfl: 0.195214 loss: 1.452300 eta: 2 days, 12:27:20 batch_cost: 2.8103 data_cost: 0.0016 ips: 28.4666 images/s [10/14 13:08:23] ppdet.engine INFO: Epoch: [87] [200/366] learning_rate: 0.321675 loss_vfl: 0.936118 loss_bbox: 0.334516 loss_dfl: 0.205554 loss: 1.489630 eta: 2 days, 12:26:27 batch_cost: 2.8522 data_cost: 0.0016 ips: 28.0485 images/s [10/14 13:09:21] ppdet.engine INFO: Epoch: [87] [220/366] learning_rate: 0.321584 loss_vfl: 0.908327 loss_bbox: 0.350575 loss_dfl: 0.210757 loss: 1.493104 eta: 2 days, 12:25:29 batch_cost: 2.7552 data_cost: 0.0016 ips: 29.0361 images/s [10/14 13:10:19] ppdet.engine INFO: Epoch: [87] [240/366] learning_rate: 0.321493 loss_vfl: 0.922567 loss_bbox: 0.330222 loss_dfl: 0.201787 loss: 1.462322 eta: 2 days, 12:24:30 batch_cost: 2.7438 data_cost: 0.0016 ips: 29.1568 images/s [10/14 13:11:17] ppdet.engine INFO: Epoch: [87] [260/366] learning_rate: 0.321402 loss_vfl: 0.957669 loss_bbox: 0.320651 loss_dfl: 0.196403 loss: 1.460317 eta: 2 days, 12:23:33 batch_cost: 2.7694 data_cost: 0.0015 ips: 28.8867 images/s [10/14 13:12:15] ppdet.engine INFO: Epoch: [87] [280/366] learning_rate: 0.321311 loss_vfl: 0.930720 loss_bbox: 0.324983 loss_dfl: 0.198810 loss: 1.441633 eta: 2 days, 12:22:35 batch_cost: 2.7461 data_cost: 0.0016 ips: 29.1319 images/s [10/14 13:13:13] ppdet.engine INFO: Epoch: [87] [300/366] learning_rate: 0.321220 loss_vfl: 0.932740 loss_bbox: 0.342151 loss_dfl: 0.204079 loss: 1.486512 eta: 2 days, 12:21:37 batch_cost: 2.7579 data_cost: 0.0016 ips: 29.0074 images/s [10/14 13:14:11] ppdet.engine INFO: Epoch: [87] [320/366] learning_rate: 0.321129 loss_vfl: 0.952940 loss_bbox: 0.334569 loss_dfl: 0.204039 loss: 1.490198 eta: 2 days, 12:20:39 batch_cost: 2.7569 data_cost: 0.0015 ips: 29.0181 images/s [10/14 13:15:09] ppdet.engine INFO: Epoch: [87] [340/366] learning_rate: 0.321038 loss_vfl: 0.943985 loss_bbox: 0.316555 loss_dfl: 0.196523 loss: 1.472135 eta: 2 days, 12:19:39 batch_cost: 2.7211 data_cost: 0.0015 ips: 29.4003 images/s [10/14 13:16:03] ppdet.engine INFO: Epoch: [87] [360/366] learning_rate: 0.320947 loss_vfl: 0.927594 loss_bbox: 0.340442 loss_dfl: 0.204809 loss: 1.478806 eta: 2 days, 12:18:30 batch_cost: 2.5342 data_cost: 0.0015 ips: 31.5679 images/s [10/14 13:16:40] ppdet.engine INFO: Epoch: [88] [ 0/366] learning_rate: 0.320920 loss_vfl: 0.934553 loss_bbox: 0.337472 loss_dfl: 0.204657 loss: 1.466650 eta: 2 days, 12:18:52 batch_cost: 3.3172 data_cost: 0.4905 ips: 24.1171 images/s [10/14 13:17:38] ppdet.engine INFO: Epoch: [88] [ 20/366] learning_rate: 0.320829 loss_vfl: 0.920503 loss_bbox: 0.333227 loss_dfl: 0.201355 loss: 1.452089 eta: 2 days, 12:17:52 batch_cost: 2.7210 data_cost: 0.0018 ips: 29.4007 images/s [10/14 13:18:36] ppdet.engine INFO: Epoch: [88] [ 40/366] learning_rate: 0.320737 loss_vfl: 0.918135 loss_bbox: 0.312248 loss_dfl: 0.192905 loss: 1.441327 eta: 2 days, 12:16:55 batch_cost: 2.7658 data_cost: 0.0016 ips: 28.9252 images/s [10/14 13:19:33] ppdet.engine INFO: Epoch: [88] [ 60/366] learning_rate: 0.320646 loss_vfl: 0.921789 loss_bbox: 0.350710 loss_dfl: 0.210330 loss: 1.495169 eta: 2 days, 12:15:54 batch_cost: 2.6889 data_cost: 0.0016 ips: 29.7524 images/s [10/14 13:20:32] ppdet.engine INFO: Epoch: [88] [ 80/366] learning_rate: 0.320555 loss_vfl: 0.934998 loss_bbox: 0.308439 loss_dfl: 0.192444 loss: 1.450405 eta: 2 days, 12:14:57 batch_cost: 2.7761 data_cost: 0.0021 ips: 28.8173 images/s [10/14 13:21:30] ppdet.engine INFO: Epoch: [88] [100/366] learning_rate: 0.320464 loss_vfl: 0.932468 loss_bbox: 0.317982 loss_dfl: 0.193667 loss: 1.454444 eta: 2 days, 12:13:59 batch_cost: 2.7634 data_cost: 0.0016 ips: 28.9499 images/s [10/14 13:22:27] ppdet.engine INFO: Epoch: [88] [120/366] learning_rate: 0.320372 loss_vfl: 0.918020 loss_bbox: 0.332949 loss_dfl: 0.204109 loss: 1.459656 eta: 2 days, 12:13:00 batch_cost: 2.7396 data_cost: 0.0016 ips: 29.2014 images/s [10/14 13:23:25] ppdet.engine INFO: Epoch: [88] [140/366] learning_rate: 0.320281 loss_vfl: 0.937667 loss_bbox: 0.329761 loss_dfl: 0.196998 loss: 1.469068 eta: 2 days, 12:12:02 batch_cost: 2.7449 data_cost: 0.0017 ips: 29.1445 images/s [10/14 13:24:23] ppdet.engine INFO: Epoch: [88] [160/366] learning_rate: 0.320189 loss_vfl: 0.936687 loss_bbox: 0.322833 loss_dfl: 0.193537 loss: 1.454548 eta: 2 days, 12:11:03 batch_cost: 2.7358 data_cost: 0.0016 ips: 29.2423 images/s [10/14 13:25:21] ppdet.engine INFO: Epoch: [88] [180/366] learning_rate: 0.320098 loss_vfl: 0.936466 loss_bbox: 0.310158 loss_dfl: 0.197635 loss: 1.465570 eta: 2 days, 12:10:05 batch_cost: 2.7629 data_cost: 0.0016 ips: 28.9550 images/s [10/14 13:26:20] ppdet.engine INFO: Epoch: [88] [200/366] learning_rate: 0.320006 loss_vfl: 0.916007 loss_bbox: 0.325791 loss_dfl: 0.202310 loss: 1.457225 eta: 2 days, 12:09:10 batch_cost: 2.8177 data_cost: 0.0016 ips: 28.3921 images/s [10/14 13:27:19] ppdet.engine INFO: Epoch: [88] [220/366] learning_rate: 0.319915 loss_vfl: 0.931143 loss_bbox: 0.339386 loss_dfl: 0.199437 loss: 1.467586 eta: 2 days, 12:08:15 batch_cost: 2.8140 data_cost: 0.0016 ips: 28.4292 images/s [10/14 13:28:18] ppdet.engine INFO: Epoch: [88] [240/366] learning_rate: 0.319823 loss_vfl: 0.926113 loss_bbox: 0.337742 loss_dfl: 0.200917 loss: 1.456182 eta: 2 days, 12:07:19 batch_cost: 2.7971 data_cost: 0.0016 ips: 28.6012 images/s [10/14 13:29:17] ppdet.engine INFO: Epoch: [88] [260/366] learning_rate: 0.319731 loss_vfl: 0.931683 loss_bbox: 0.335938 loss_dfl: 0.198166 loss: 1.462734 eta: 2 days, 12:06:21 batch_cost: 2.7663 data_cost: 0.0016 ips: 28.9190 images/s [10/14 13:30:16] ppdet.engine INFO: Epoch: [88] [280/366] learning_rate: 0.319640 loss_vfl: 0.953386 loss_bbox: 0.309947 loss_dfl: 0.196653 loss: 1.465913 eta: 2 days, 12:05:27 batch_cost: 2.8278 data_cost: 0.0016 ips: 28.2907 images/s [10/14 13:31:15] ppdet.engine INFO: Epoch: [88] [300/366] learning_rate: 0.319548 loss_vfl: 0.924459 loss_bbox: 0.338449 loss_dfl: 0.198256 loss: 1.467880 eta: 2 days, 12:04:31 batch_cost: 2.8114 data_cost: 0.0016 ips: 28.4558 images/s [10/14 13:32:14] ppdet.engine INFO: Epoch: [88] [320/366] learning_rate: 0.319456 loss_vfl: 0.932677 loss_bbox: 0.307350 loss_dfl: 0.186080 loss: 1.439919 eta: 2 days, 12:03:33 batch_cost: 2.7558 data_cost: 0.0017 ips: 29.0297 images/s [10/14 13:33:12] ppdet.engine INFO: Epoch: [88] [340/366] learning_rate: 0.319364 loss_vfl: 0.931794 loss_bbox: 0.322066 loss_dfl: 0.200850 loss: 1.457582 eta: 2 days, 12:02:36 batch_cost: 2.7712 data_cost: 0.0016 ips: 28.8679 images/s [10/14 13:34:07] ppdet.engine INFO: Epoch: [88] [360/366] learning_rate: 0.319273 loss_vfl: 0.940754 loss_bbox: 0.324232 loss_dfl: 0.198161 loss: 1.454528 eta: 2 days, 12:01:30 batch_cost: 2.5916 data_cost: 0.0019 ips: 30.8695 images/s [10/14 13:34:46] ppdet.engine INFO: Epoch: [89] [ 0/366] learning_rate: 0.319245 loss_vfl: 0.947761 loss_bbox: 0.334499 loss_dfl: 0.200049 loss: 1.459593 eta: 2 days, 12:01:56 batch_cost: 3.4961 data_cost: 0.6240 ips: 22.8827 images/s [10/14 13:35:43] ppdet.engine INFO: Epoch: [89] [ 20/366] learning_rate: 0.319153 loss_vfl: 0.928648 loss_bbox: 0.313521 loss_dfl: 0.202655 loss: 1.450152 eta: 2 days, 12:00:56 batch_cost: 2.7183 data_cost: 0.0016 ips: 29.4305 images/s [10/14 13:36:42] ppdet.engine INFO: Epoch: [89] [ 40/366] learning_rate: 0.319061 loss_vfl: 0.949043 loss_bbox: 0.336898 loss_dfl: 0.196811 loss: 1.476234 eta: 2 days, 12:00:00 batch_cost: 2.8011 data_cost: 0.0023 ips: 28.5607 images/s [10/14 13:37:43] ppdet.engine INFO: Epoch: [89] [ 60/366] learning_rate: 0.318969 loss_vfl: 0.917613 loss_bbox: 0.324297 loss_dfl: 0.196107 loss: 1.455973 eta: 2 days, 11:59:09 batch_cost: 2.8884 data_cost: 0.0017 ips: 27.6972 images/s [10/14 13:38:42] ppdet.engine INFO: Epoch: [89] [ 80/366] learning_rate: 0.318877 loss_vfl: 0.927732 loss_bbox: 0.318898 loss_dfl: 0.195112 loss: 1.459570 eta: 2 days, 11:58:14 batch_cost: 2.8320 data_cost: 0.0017 ips: 28.2489 images/s [10/14 13:39:41] ppdet.engine INFO: Epoch: [89] [100/366] learning_rate: 0.318785 loss_vfl: 0.929248 loss_bbox: 0.331484 loss_dfl: 0.202463 loss: 1.470031 eta: 2 days, 11:57:19 batch_cost: 2.8079 data_cost: 0.0016 ips: 28.4914 images/s [10/14 13:40:40] ppdet.engine INFO: Epoch: [89] [120/366] learning_rate: 0.318693 loss_vfl: 0.936574 loss_bbox: 0.331696 loss_dfl: 0.195194 loss: 1.462043 eta: 2 days, 11:56:23 batch_cost: 2.7981 data_cost: 0.0016 ips: 28.5909 images/s [10/14 13:41:39] ppdet.engine INFO: Epoch: [89] [140/366] learning_rate: 0.318601 loss_vfl: 0.937340 loss_bbox: 0.333834 loss_dfl: 0.206493 loss: 1.464175 eta: 2 days, 11:55:26 batch_cost: 2.7864 data_cost: 0.0017 ips: 28.7111 images/s [10/14 13:42:38] ppdet.engine INFO: Epoch: [89] [160/366] learning_rate: 0.318509 loss_vfl: 0.936841 loss_bbox: 0.320328 loss_dfl: 0.192829 loss: 1.465925 eta: 2 days, 11:54:32 batch_cost: 2.8333 data_cost: 0.0021 ips: 28.2361 images/s [10/14 13:43:38] ppdet.engine INFO: Epoch: [89] [180/366] learning_rate: 0.318416 loss_vfl: 0.928443 loss_bbox: 0.324060 loss_dfl: 0.200409 loss: 1.464422 eta: 2 days, 11:53:36 batch_cost: 2.7975 data_cost: 0.0016 ips: 28.5966 images/s [10/14 13:44:36] ppdet.engine INFO: Epoch: [89] [200/366] learning_rate: 0.318324 loss_vfl: 0.932164 loss_bbox: 0.330603 loss_dfl: 0.201527 loss: 1.465304 eta: 2 days, 11:52:40 batch_cost: 2.7984 data_cost: 0.0017 ips: 28.5873 images/s [10/14 13:45:34] ppdet.engine INFO: Epoch: [89] [220/366] learning_rate: 0.318232 loss_vfl: 0.941706 loss_bbox: 0.334303 loss_dfl: 0.198980 loss: 1.471225 eta: 2 days, 11:51:40 batch_cost: 2.7174 data_cost: 0.0016 ips: 29.4400 images/s [10/14 13:46:34] ppdet.engine INFO: Epoch: [89] [240/366] learning_rate: 0.318140 loss_vfl: 0.930725 loss_bbox: 0.343464 loss_dfl: 0.199074 loss: 1.476235 eta: 2 days, 11:50:48 batch_cost: 2.8793 data_cost: 0.0016 ips: 27.7843 images/s [10/14 13:47:34] ppdet.engine INFO: Epoch: [89] [260/366] learning_rate: 0.318047 loss_vfl: 0.935906 loss_bbox: 0.314601 loss_dfl: 0.191685 loss: 1.452784 eta: 2 days, 11:49:53 batch_cost: 2.8227 data_cost: 0.0017 ips: 28.3413 images/s [10/14 13:48:33] ppdet.engine INFO: Epoch: [89] [280/366] learning_rate: 0.317955 loss_vfl: 0.938861 loss_bbox: 0.320983 loss_dfl: 0.197488 loss: 1.469660 eta: 2 days, 11:48:57 batch_cost: 2.7996 data_cost: 0.0017 ips: 28.5755 images/s [10/14 13:49:31] ppdet.engine INFO: Epoch: [89] [300/366] learning_rate: 0.317862 loss_vfl: 0.936934 loss_bbox: 0.338216 loss_dfl: 0.202905 loss: 1.470728 eta: 2 days, 11:48:00 batch_cost: 2.7698 data_cost: 0.0017 ips: 28.8826 images/s [10/14 13:50:31] ppdet.engine INFO: Epoch: [89] [320/366] learning_rate: 0.317770 loss_vfl: 0.943800 loss_bbox: 0.325213 loss_dfl: 0.198538 loss: 1.480143 eta: 2 days, 11:47:04 batch_cost: 2.8113 data_cost: 0.0016 ips: 28.4570 images/s [10/14 13:51:30] ppdet.engine INFO: Epoch: [89] [340/366] learning_rate: 0.317677 loss_vfl: 0.923471 loss_bbox: 0.327796 loss_dfl: 0.198395 loss: 1.454621 eta: 2 days, 11:46:08 batch_cost: 2.7807 data_cost: 0.0016 ips: 28.7700 images/s [10/14 13:52:23] ppdet.engine INFO: Epoch: [89] [360/366] learning_rate: 0.317585 loss_vfl: 0.927704 loss_bbox: 0.342834 loss_dfl: 0.213044 loss: 1.487521 eta: 2 days, 11:44:59 batch_cost: 2.5386 data_cost: 0.0016 ips: 31.5133 images/s [10/14 13:52:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 13:52:40] ppdet.engine INFO: Eval iter: 0 [10/14 13:53:21] ppdet.engine INFO: Eval iter: 100 [10/14 13:53:44] ppdet.engine INFO: Eval iter: 200 [10/14 13:54:07] ppdet.engine INFO: Eval iter: 300 [10/14 13:54:30] ppdet.engine INFO: Eval iter: 400 [10/14 13:54:54] ppdet.engine INFO: Eval iter: 500 [10/14 13:55:18] ppdet.engine INFO: Eval iter: 600 [10/14 13:55:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.00s) creating index... index created! [10/14 13:55:40] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.72s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.77s). Accumulating evaluation results... DONE (t=17.34s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.277 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.417 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.289 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.098 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.287 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.457 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.261 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.413 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.441 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.175 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.689 [10/14 13:57:43] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.1243208989595 [10/14 13:57:43] ppdet.engine INFO: Best test bbox ap is 0.278. [10/14 13:57:45] ppdet.engine INFO: Epoch: [90] [ 0/366] learning_rate: 0.317557 loss_vfl: 0.932494 loss_bbox: 0.321702 loss_dfl: 0.190283 loss: 1.465918 eta: 2 days, 11:44:36 batch_cost: 2.4007 data_cost: 0.0016 ips: 33.3243 images/s [10/14 13:58:46] ppdet.engine INFO: Epoch: [90] [ 20/366] learning_rate: 0.317464 loss_vfl: 0.924956 loss_bbox: 0.344574 loss_dfl: 0.198389 loss: 1.455665 eta: 2 days, 11:43:43 batch_cost: 2.8689 data_cost: 0.0017 ips: 27.8853 images/s [10/14 13:59:44] ppdet.engine INFO: Epoch: [90] [ 40/366] learning_rate: 0.317372 loss_vfl: 0.947458 loss_bbox: 0.325926 loss_dfl: 0.197830 loss: 1.459438 eta: 2 days, 11:42:47 batch_cost: 2.7911 data_cost: 0.0016 ips: 28.6622 images/s [10/14 14:00:44] ppdet.engine INFO: Epoch: [90] [ 60/366] learning_rate: 0.317279 loss_vfl: 0.931831 loss_bbox: 0.324016 loss_dfl: 0.194538 loss: 1.464667 eta: 2 days, 11:41:52 batch_cost: 2.8071 data_cost: 0.0017 ips: 28.4992 images/s [10/14 14:01:40] ppdet.engine INFO: Epoch: [90] [ 80/366] learning_rate: 0.317186 loss_vfl: 0.933090 loss_bbox: 0.333195 loss_dfl: 0.206443 loss: 1.462260 eta: 2 days, 11:40:51 batch_cost: 2.6899 data_cost: 0.0016 ips: 29.7409 images/s [10/14 14:02:38] ppdet.engine INFO: Epoch: [90] [100/366] learning_rate: 0.317094 loss_vfl: 0.938107 loss_bbox: 0.324052 loss_dfl: 0.198667 loss: 1.457730 eta: 2 days, 11:39:53 batch_cost: 2.7608 data_cost: 0.0016 ips: 28.9772 images/s [10/14 14:03:36] ppdet.engine INFO: Epoch: [90] [120/366] learning_rate: 0.317001 loss_vfl: 0.936995 loss_bbox: 0.324864 loss_dfl: 0.194015 loss: 1.457556 eta: 2 days, 11:38:54 batch_cost: 2.7358 data_cost: 0.0016 ips: 29.2423 images/s [10/14 14:04:35] ppdet.engine INFO: Epoch: [90] [140/366] learning_rate: 0.316908 loss_vfl: 0.932413 loss_bbox: 0.328922 loss_dfl: 0.202060 loss: 1.451549 eta: 2 days, 11:37:58 batch_cost: 2.8096 data_cost: 0.0016 ips: 28.4736 images/s [10/14 14:05:33] ppdet.engine INFO: Epoch: [90] [160/366] learning_rate: 0.316815 loss_vfl: 0.921942 loss_bbox: 0.346740 loss_dfl: 0.207879 loss: 1.472144 eta: 2 days, 11:37:00 batch_cost: 2.7398 data_cost: 0.0017 ips: 29.1994 images/s [10/14 14:06:32] ppdet.engine INFO: Epoch: [90] [180/366] learning_rate: 0.316722 loss_vfl: 0.932170 loss_bbox: 0.336837 loss_dfl: 0.200269 loss: 1.473224 eta: 2 days, 11:36:04 batch_cost: 2.7982 data_cost: 0.0016 ips: 28.5901 images/s [10/14 14:07:31] ppdet.engine INFO: Epoch: [90] [200/366] learning_rate: 0.316629 loss_vfl: 0.920544 loss_bbox: 0.330701 loss_dfl: 0.197313 loss: 1.448427 eta: 2 days, 11:35:07 batch_cost: 2.7742 data_cost: 0.0017 ips: 28.8375 images/s [10/14 14:08:29] ppdet.engine INFO: Epoch: [90] [220/366] learning_rate: 0.316536 loss_vfl: 0.941974 loss_bbox: 0.319311 loss_dfl: 0.195422 loss: 1.454231 eta: 2 days, 11:34:09 batch_cost: 2.7557 data_cost: 0.0017 ips: 29.0308 images/s [10/14 14:09:27] ppdet.engine INFO: Epoch: [90] [240/366] learning_rate: 0.316443 loss_vfl: 0.928284 loss_bbox: 0.313452 loss_dfl: 0.200674 loss: 1.440880 eta: 2 days, 11:33:12 batch_cost: 2.7706 data_cost: 0.0016 ips: 28.8743 images/s [10/14 14:10:28] ppdet.engine INFO: Epoch: [90] [260/366] learning_rate: 0.316350 loss_vfl: 0.936074 loss_bbox: 0.319185 loss_dfl: 0.194831 loss: 1.442679 eta: 2 days, 11:32:19 batch_cost: 2.8798 data_cost: 0.0016 ips: 27.7794 images/s [10/14 14:11:25] ppdet.engine INFO: Epoch: [90] [280/366] learning_rate: 0.316257 loss_vfl: 0.925552 loss_bbox: 0.351624 loss_dfl: 0.207853 loss: 1.496786 eta: 2 days, 11:31:21 batch_cost: 2.7406 data_cost: 0.0017 ips: 29.1904 images/s [10/14 14:12:23] ppdet.engine INFO: Epoch: [90] [300/366] learning_rate: 0.316164 loss_vfl: 0.927244 loss_bbox: 0.334423 loss_dfl: 0.203842 loss: 1.476753 eta: 2 days, 11:30:22 batch_cost: 2.7447 data_cost: 0.0016 ips: 29.1471 images/s [10/14 14:13:23] ppdet.engine INFO: Epoch: [90] [320/366] learning_rate: 0.316071 loss_vfl: 0.929010 loss_bbox: 0.333810 loss_dfl: 0.195736 loss: 1.464415 eta: 2 days, 11:29:27 batch_cost: 2.8178 data_cost: 0.0016 ips: 28.3909 images/s [10/14 14:14:22] ppdet.engine INFO: Epoch: [90] [340/366] learning_rate: 0.315977 loss_vfl: 0.923112 loss_bbox: 0.339240 loss_dfl: 0.198651 loss: 1.454990 eta: 2 days, 11:28:32 batch_cost: 2.8161 data_cost: 0.0016 ips: 28.4077 images/s [10/14 14:15:15] ppdet.engine INFO: Epoch: [90] [360/366] learning_rate: 0.315884 loss_vfl: 0.945172 loss_bbox: 0.313214 loss_dfl: 0.194542 loss: 1.452814 eta: 2 days, 11:27:22 batch_cost: 2.4859 data_cost: 0.0016 ips: 32.1812 images/s [10/14 14:15:52] ppdet.engine INFO: Epoch: [91] [ 0/366] learning_rate: 0.315856 loss_vfl: 0.936952 loss_bbox: 0.312059 loss_dfl: 0.195879 loss: 1.459500 eta: 2 days, 11:27:42 batch_cost: 3.3139 data_cost: 0.3762 ips: 24.1408 images/s [10/14 14:16:52] ppdet.engine INFO: Epoch: [91] [ 20/366] learning_rate: 0.315763 loss_vfl: 0.929588 loss_bbox: 0.320117 loss_dfl: 0.195499 loss: 1.444135 eta: 2 days, 11:26:48 batch_cost: 2.8276 data_cost: 0.0018 ips: 28.2921 images/s [10/14 14:17:51] ppdet.engine INFO: Epoch: [91] [ 40/366] learning_rate: 0.315670 loss_vfl: 0.929060 loss_bbox: 0.320152 loss_dfl: 0.195900 loss: 1.437849 eta: 2 days, 11:25:51 batch_cost: 2.7920 data_cost: 0.0017 ips: 28.6537 images/s [10/14 14:18:49] ppdet.engine INFO: Epoch: [91] [ 60/366] learning_rate: 0.315576 loss_vfl: 0.957650 loss_bbox: 0.328942 loss_dfl: 0.195958 loss: 1.459242 eta: 2 days, 11:24:53 batch_cost: 2.7410 data_cost: 0.0016 ips: 29.1863 images/s [10/14 14:19:47] ppdet.engine INFO: Epoch: [91] [ 80/366] learning_rate: 0.315483 loss_vfl: 0.918144 loss_bbox: 0.320431 loss_dfl: 0.194468 loss: 1.434750 eta: 2 days, 11:23:55 batch_cost: 2.7556 data_cost: 0.0016 ips: 29.0315 images/s [10/14 14:20:47] ppdet.engine INFO: Epoch: [91] [100/366] learning_rate: 0.315389 loss_vfl: 0.940784 loss_bbox: 0.319531 loss_dfl: 0.197790 loss: 1.474331 eta: 2 days, 11:23:00 batch_cost: 2.8316 data_cost: 0.0016 ips: 28.2524 images/s [10/14 14:21:45] ppdet.engine INFO: Epoch: [91] [120/366] learning_rate: 0.315296 loss_vfl: 0.934318 loss_bbox: 0.330845 loss_dfl: 0.199843 loss: 1.480041 eta: 2 days, 11:22:04 batch_cost: 2.7807 data_cost: 0.0017 ips: 28.7698 images/s [10/14 14:22:44] ppdet.engine INFO: Epoch: [91] [140/366] learning_rate: 0.315202 loss_vfl: 0.934530 loss_bbox: 0.334387 loss_dfl: 0.205783 loss: 1.478714 eta: 2 days, 11:21:06 batch_cost: 2.7633 data_cost: 0.0017 ips: 28.9506 images/s [10/14 14:23:42] ppdet.engine INFO: Epoch: [91] [160/366] learning_rate: 0.315109 loss_vfl: 0.945110 loss_bbox: 0.328856 loss_dfl: 0.196931 loss: 1.465831 eta: 2 days, 11:20:10 batch_cost: 2.7916 data_cost: 0.0016 ips: 28.6574 images/s [10/14 14:24:42] ppdet.engine INFO: Epoch: [91] [180/366] learning_rate: 0.315015 loss_vfl: 0.925888 loss_bbox: 0.318824 loss_dfl: 0.200246 loss: 1.451099 eta: 2 days, 11:19:16 batch_cost: 2.8413 data_cost: 0.0016 ips: 28.1557 images/s [10/14 14:25:41] ppdet.engine INFO: Epoch: [91] [200/366] learning_rate: 0.314921 loss_vfl: 0.933161 loss_bbox: 0.336564 loss_dfl: 0.203559 loss: 1.494838 eta: 2 days, 11:18:20 batch_cost: 2.8037 data_cost: 0.0016 ips: 28.5341 images/s [10/14 14:26:40] ppdet.engine INFO: Epoch: [91] [220/366] learning_rate: 0.314828 loss_vfl: 0.933797 loss_bbox: 0.332854 loss_dfl: 0.199907 loss: 1.460319 eta: 2 days, 11:17:22 batch_cost: 2.7614 data_cost: 0.0016 ips: 28.9711 images/s [10/14 14:27:38] ppdet.engine INFO: Epoch: [91] [240/366] learning_rate: 0.314734 loss_vfl: 0.932972 loss_bbox: 0.309423 loss_dfl: 0.196494 loss: 1.456741 eta: 2 days, 11:16:25 batch_cost: 2.7696 data_cost: 0.0017 ips: 28.8849 images/s [10/14 14:28:37] ppdet.engine INFO: Epoch: [91] [260/366] learning_rate: 0.314640 loss_vfl: 0.939445 loss_bbox: 0.324154 loss_dfl: 0.197710 loss: 1.461803 eta: 2 days, 11:15:28 batch_cost: 2.7767 data_cost: 0.0016 ips: 28.8109 images/s [10/14 14:29:36] ppdet.engine INFO: Epoch: [91] [280/366] learning_rate: 0.314546 loss_vfl: 0.951731 loss_bbox: 0.327209 loss_dfl: 0.195279 loss: 1.474056 eta: 2 days, 11:14:31 batch_cost: 2.7710 data_cost: 0.0017 ips: 28.8703 images/s [10/14 14:30:33] ppdet.engine INFO: Epoch: [91] [300/366] learning_rate: 0.314453 loss_vfl: 0.912952 loss_bbox: 0.337272 loss_dfl: 0.202246 loss: 1.459589 eta: 2 days, 11:13:33 batch_cost: 2.7457 data_cost: 0.0022 ips: 29.1363 images/s [10/14 14:31:33] ppdet.engine INFO: Epoch: [91] [320/366] learning_rate: 0.314359 loss_vfl: 0.924001 loss_bbox: 0.345928 loss_dfl: 0.206206 loss: 1.472054 eta: 2 days, 11:12:39 batch_cost: 2.8538 data_cost: 0.0016 ips: 28.0332 images/s [10/14 14:32:32] ppdet.engine INFO: Epoch: [91] [340/366] learning_rate: 0.314265 loss_vfl: 0.949051 loss_bbox: 0.326891 loss_dfl: 0.194899 loss: 1.487944 eta: 2 days, 11:11:43 batch_cost: 2.7892 data_cost: 0.0016 ips: 28.6825 images/s [10/14 14:33:26] ppdet.engine INFO: Epoch: [91] [360/366] learning_rate: 0.314171 loss_vfl: 0.941529 loss_bbox: 0.318465 loss_dfl: 0.200941 loss: 1.471036 eta: 2 days, 11:10:35 batch_cost: 2.5394 data_cost: 0.0016 ips: 31.5035 images/s [10/14 14:34:03] ppdet.engine INFO: Epoch: [92] [ 0/366] learning_rate: 0.314143 loss_vfl: 0.941529 loss_bbox: 0.329552 loss_dfl: 0.203546 loss: 1.476734 eta: 2 days, 11:10:54 batch_cost: 3.3114 data_cost: 0.2525 ips: 24.1587 images/s [10/14 14:35:05] ppdet.engine INFO: Epoch: [92] [ 20/366] learning_rate: 0.314049 loss_vfl: 0.918207 loss_bbox: 0.326998 loss_dfl: 0.195465 loss: 1.449552 eta: 2 days, 11:10:05 batch_cost: 2.9529 data_cost: 0.0016 ips: 27.0917 images/s [10/14 14:36:04] ppdet.engine INFO: Epoch: [92] [ 40/366] learning_rate: 0.313955 loss_vfl: 0.934272 loss_bbox: 0.322139 loss_dfl: 0.202481 loss: 1.455279 eta: 2 days, 11:09:11 batch_cost: 2.8417 data_cost: 0.0016 ips: 28.1522 images/s [10/14 14:37:02] ppdet.engine INFO: Epoch: [92] [ 60/366] learning_rate: 0.313861 loss_vfl: 0.925166 loss_bbox: 0.321928 loss_dfl: 0.196492 loss: 1.438347 eta: 2 days, 11:08:12 batch_cost: 2.7367 data_cost: 0.0017 ips: 29.2325 images/s [10/14 14:38:01] ppdet.engine INFO: Epoch: [92] [ 80/366] learning_rate: 0.313766 loss_vfl: 0.929313 loss_bbox: 0.347441 loss_dfl: 0.211784 loss: 1.481253 eta: 2 days, 11:07:15 batch_cost: 2.7885 data_cost: 0.0017 ips: 28.6888 images/s [10/14 14:38:59] ppdet.engine INFO: Epoch: [92] [100/366] learning_rate: 0.313672 loss_vfl: 0.923092 loss_bbox: 0.334202 loss_dfl: 0.201095 loss: 1.456358 eta: 2 days, 11:06:18 batch_cost: 2.7554 data_cost: 0.0016 ips: 29.0337 images/s [10/14 14:39:57] ppdet.engine INFO: Epoch: [92] [120/366] learning_rate: 0.313578 loss_vfl: 0.919302 loss_bbox: 0.332654 loss_dfl: 0.199543 loss: 1.461761 eta: 2 days, 11:05:19 batch_cost: 2.7337 data_cost: 0.0016 ips: 29.2645 images/s [10/14 14:40:54] ppdet.engine INFO: Epoch: [92] [140/366] learning_rate: 0.313484 loss_vfl: 0.939715 loss_bbox: 0.338414 loss_dfl: 0.204928 loss: 1.470732 eta: 2 days, 11:04:19 batch_cost: 2.7141 data_cost: 0.0015 ips: 29.4758 images/s [10/14 14:41:51] ppdet.engine INFO: Epoch: [92] [160/366] learning_rate: 0.313390 loss_vfl: 0.919256 loss_bbox: 0.337074 loss_dfl: 0.200102 loss: 1.463513 eta: 2 days, 11:03:19 batch_cost: 2.7152 data_cost: 0.0016 ips: 29.4636 images/s [10/14 14:42:50] ppdet.engine INFO: Epoch: [92] [180/366] learning_rate: 0.313295 loss_vfl: 0.926857 loss_bbox: 0.337451 loss_dfl: 0.201192 loss: 1.466693 eta: 2 days, 11:02:24 batch_cost: 2.8193 data_cost: 0.0016 ips: 28.3762 images/s [10/14 14:43:49] ppdet.engine INFO: Epoch: [92] [200/366] learning_rate: 0.313201 loss_vfl: 0.923167 loss_bbox: 0.328049 loss_dfl: 0.194774 loss: 1.449722 eta: 2 days, 11:01:28 batch_cost: 2.7863 data_cost: 0.0017 ips: 28.7120 images/s [10/14 14:44:47] ppdet.engine INFO: Epoch: [92] [220/366] learning_rate: 0.313107 loss_vfl: 0.933954 loss_bbox: 0.331261 loss_dfl: 0.204768 loss: 1.488120 eta: 2 days, 11:00:29 batch_cost: 2.7507 data_cost: 0.0016 ips: 29.0834 images/s [10/14 14:45:45] ppdet.engine INFO: Epoch: [92] [240/366] learning_rate: 0.313012 loss_vfl: 0.928902 loss_bbox: 0.341905 loss_dfl: 0.201020 loss: 1.479591 eta: 2 days, 10:59:31 batch_cost: 2.7432 data_cost: 0.0016 ips: 29.1626 images/s [10/14 14:46:42] ppdet.engine INFO: Epoch: [92] [260/366] learning_rate: 0.312918 loss_vfl: 0.935827 loss_bbox: 0.319214 loss_dfl: 0.194445 loss: 1.422908 eta: 2 days, 10:58:32 batch_cost: 2.7403 data_cost: 0.0017 ips: 29.1935 images/s [10/14 14:47:40] ppdet.engine INFO: Epoch: [92] [280/366] learning_rate: 0.312823 loss_vfl: 0.932906 loss_bbox: 0.333994 loss_dfl: 0.199550 loss: 1.475469 eta: 2 days, 10:57:33 batch_cost: 2.7208 data_cost: 0.0016 ips: 29.4027 images/s [10/14 14:48:38] ppdet.engine INFO: Epoch: [92] [300/366] learning_rate: 0.312729 loss_vfl: 0.912924 loss_bbox: 0.349454 loss_dfl: 0.204699 loss: 1.477405 eta: 2 days, 10:56:35 batch_cost: 2.7510 data_cost: 0.0016 ips: 29.0807 images/s [10/14 14:49:36] ppdet.engine INFO: Epoch: [92] [320/366] learning_rate: 0.312634 loss_vfl: 0.921285 loss_bbox: 0.331705 loss_dfl: 0.206713 loss: 1.457225 eta: 2 days, 10:55:37 batch_cost: 2.7479 data_cost: 0.0015 ips: 29.1133 images/s [10/14 14:50:33] ppdet.engine INFO: Epoch: [92] [340/366] learning_rate: 0.312540 loss_vfl: 0.931117 loss_bbox: 0.348010 loss_dfl: 0.208329 loss: 1.483346 eta: 2 days, 10:54:37 batch_cost: 2.7040 data_cost: 0.0016 ips: 29.5863 images/s [10/14 14:51:25] ppdet.engine INFO: Epoch: [92] [360/366] learning_rate: 0.312445 loss_vfl: 0.935280 loss_bbox: 0.313017 loss_dfl: 0.197934 loss: 1.450661 eta: 2 days, 10:53:25 batch_cost: 2.4405 data_cost: 0.0016 ips: 32.7799 images/s [10/14 14:52:05] ppdet.engine INFO: Epoch: [93] [ 0/366] learning_rate: 0.312417 loss_vfl: 0.925525 loss_bbox: 0.321221 loss_dfl: 0.198308 loss: 1.460655 eta: 2 days, 10:53:51 batch_cost: 3.4315 data_cost: 0.6264 ips: 23.3133 images/s [10/14 14:53:04] ppdet.engine INFO: Epoch: [93] [ 20/366] learning_rate: 0.312322 loss_vfl: 0.917676 loss_bbox: 0.323254 loss_dfl: 0.202578 loss: 1.429090 eta: 2 days, 10:52:53 batch_cost: 2.7605 data_cost: 0.0020 ips: 28.9804 images/s [10/14 14:54:03] ppdet.engine INFO: Epoch: [93] 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loss_bbox: 0.326925 loss_dfl: 0.203182 loss: 1.454217 eta: 2 days, 10:48:02 batch_cost: 2.7812 data_cost: 0.0016 ips: 28.7651 images/s [10/14 14:58:52] ppdet.engine INFO: Epoch: [93] [140/366] learning_rate: 0.311753 loss_vfl: 0.928682 loss_bbox: 0.331087 loss_dfl: 0.204362 loss: 1.457725 eta: 2 days, 10:47:05 batch_cost: 2.7751 data_cost: 0.0016 ips: 28.8282 images/s [10/14 14:59:50] ppdet.engine INFO: Epoch: [93] [160/366] learning_rate: 0.311658 loss_vfl: 0.914197 loss_bbox: 0.324160 loss_dfl: 0.195723 loss: 1.442554 eta: 2 days, 10:46:08 batch_cost: 2.7662 data_cost: 0.0016 ips: 28.9210 images/s [10/14 15:00:50] ppdet.engine INFO: Epoch: [93] [180/366] learning_rate: 0.311563 loss_vfl: 0.939801 loss_bbox: 0.337158 loss_dfl: 0.204209 loss: 1.493941 eta: 2 days, 10:45:14 batch_cost: 2.8394 data_cost: 0.0017 ips: 28.1748 images/s [10/14 15:01:49] ppdet.engine INFO: Epoch: [93] [200/366] learning_rate: 0.311468 loss_vfl: 0.929751 loss_bbox: 0.321841 loss_dfl: 0.194345 loss: 1.454150 eta: 2 days, 10:44:19 batch_cost: 2.8263 data_cost: 0.0017 ips: 28.3056 images/s [10/14 15:02:49] ppdet.engine INFO: Epoch: [93] [220/366] learning_rate: 0.311373 loss_vfl: 0.925566 loss_bbox: 0.321704 loss_dfl: 0.191617 loss: 1.426802 eta: 2 days, 10:43:24 batch_cost: 2.8186 data_cost: 0.0017 ips: 28.3831 images/s [10/14 15:03:47] ppdet.engine INFO: Epoch: [93] [240/366] learning_rate: 0.311278 loss_vfl: 0.939968 loss_bbox: 0.329083 loss_dfl: 0.201309 loss: 1.455706 eta: 2 days, 10:42:27 batch_cost: 2.7663 data_cost: 0.0016 ips: 28.9193 images/s [10/14 15:04:44] ppdet.engine INFO: Epoch: [93] [260/366] learning_rate: 0.311183 loss_vfl: 0.937450 loss_bbox: 0.315544 loss_dfl: 0.196178 loss: 1.458319 eta: 2 days, 10:41:26 batch_cost: 2.6933 data_cost: 0.0016 ips: 29.7032 images/s [10/14 15:05:42] ppdet.engine INFO: Epoch: [93] [280/366] learning_rate: 0.311088 loss_vfl: 0.924401 loss_bbox: 0.329352 loss_dfl: 0.201153 loss: 1.490441 eta: 2 days, 10:40:28 batch_cost: 2.7569 data_cost: 0.0016 ips: 29.0179 images/s [10/14 15:06:40] ppdet.engine INFO: Epoch: [93] [300/366] learning_rate: 0.310993 loss_vfl: 0.924169 loss_bbox: 0.337523 loss_dfl: 0.198735 loss: 1.459201 eta: 2 days, 10:39:29 batch_cost: 2.7223 data_cost: 0.0016 ips: 29.3864 images/s [10/14 15:07:39] ppdet.engine INFO: Epoch: [93] [320/366] learning_rate: 0.310897 loss_vfl: 0.936597 loss_bbox: 0.321931 loss_dfl: 0.198541 loss: 1.464254 eta: 2 days, 10:38:34 batch_cost: 2.8190 data_cost: 0.0015 ips: 28.3787 images/s [10/14 15:08:38] ppdet.engine INFO: Epoch: [93] [340/366] learning_rate: 0.310802 loss_vfl: 0.922310 loss_bbox: 0.328276 loss_dfl: 0.196139 loss: 1.457151 eta: 2 days, 10:37:38 batch_cost: 2.7926 data_cost: 0.0016 ips: 28.6468 images/s [10/14 15:09:32] ppdet.engine INFO: Epoch: [93] [360/366] learning_rate: 0.310707 loss_vfl: 0.951899 loss_bbox: 0.331454 loss_dfl: 0.201601 loss: 1.460587 eta: 2 days, 10:36:32 batch_cost: 2.5672 data_cost: 0.0016 ips: 31.1623 images/s [10/14 15:10:09] ppdet.engine INFO: Epoch: [94] [ 0/366] learning_rate: 0.310678 loss_vfl: 0.952736 loss_bbox: 0.335149 loss_dfl: 0.203842 loss: 1.489647 eta: 2 days, 10:36:49 batch_cost: 3.3589 data_cost: 0.3435 ips: 23.8176 images/s [10/14 15:11:07] ppdet.engine INFO: Epoch: [94] [ 20/366] learning_rate: 0.310583 loss_vfl: 0.931833 loss_bbox: 0.314794 loss_dfl: 0.195372 loss: 1.445018 eta: 2 days, 10:35:49 batch_cost: 2.7146 data_cost: 0.0017 ips: 29.4707 images/s [10/14 15:12:06] ppdet.engine INFO: Epoch: [94] [ 40/366] learning_rate: 0.310488 loss_vfl: 0.920441 loss_bbox: 0.338610 loss_dfl: 0.208376 loss: 1.465757 eta: 2 days, 10:34:54 batch_cost: 2.8270 data_cost: 0.0017 ips: 28.2988 images/s [10/14 15:13:04] ppdet.engine INFO: Epoch: [94] [ 60/366] learning_rate: 0.310392 loss_vfl: 0.936260 loss_bbox: 0.331524 loss_dfl: 0.202014 loss: 1.465678 eta: 2 days, 10:33:55 batch_cost: 2.7338 data_cost: 0.0016 ips: 29.2633 images/s [10/14 15:14:02] ppdet.engine INFO: Epoch: [94] [ 80/366] learning_rate: 0.310297 loss_vfl: 0.934624 loss_bbox: 0.343378 loss_dfl: 0.198462 loss: 1.451406 eta: 2 days, 10:32:58 batch_cost: 2.7561 data_cost: 0.0016 ips: 29.0262 images/s [10/14 15:15:00] ppdet.engine INFO: Epoch: [94] [100/366] learning_rate: 0.310201 loss_vfl: 0.922049 loss_bbox: 0.336988 loss_dfl: 0.207161 loss: 1.466875 eta: 2 days, 10:31:59 batch_cost: 2.7348 data_cost: 0.0016 ips: 29.2524 images/s [10/14 15:15:59] ppdet.engine INFO: Epoch: [94] [120/366] learning_rate: 0.310106 loss_vfl: 0.928362 loss_bbox: 0.330628 loss_dfl: 0.205161 loss: 1.458114 eta: 2 days, 10:31:02 batch_cost: 2.7901 data_cost: 0.0016 ips: 28.6730 images/s [10/14 15:16:56] ppdet.engine INFO: Epoch: [94] [140/366] learning_rate: 0.310010 loss_vfl: 0.948049 loss_bbox: 0.300976 loss_dfl: 0.191947 loss: 1.434399 eta: 2 days, 10:30:03 batch_cost: 2.7259 data_cost: 0.0015 ips: 29.3477 images/s [10/14 15:17:54] ppdet.engine INFO: Epoch: [94] [160/366] learning_rate: 0.309915 loss_vfl: 0.920117 loss_bbox: 0.340544 loss_dfl: 0.206788 loss: 1.453904 eta: 2 days, 10:29:05 batch_cost: 2.7422 data_cost: 0.0016 ips: 29.1739 images/s [10/14 15:18:53] ppdet.engine INFO: Epoch: [94] [180/366] learning_rate: 0.309819 loss_vfl: 0.924044 loss_bbox: 0.336063 loss_dfl: 0.207354 loss: 1.486420 eta: 2 days, 10:28:08 batch_cost: 2.7855 data_cost: 0.0016 ips: 28.7197 images/s [10/14 15:19:51] ppdet.engine INFO: Epoch: [94] [200/366] learning_rate: 0.309723 loss_vfl: 0.940163 loss_bbox: 0.333229 loss_dfl: 0.198959 loss: 1.466314 eta: 2 days, 10:27:11 batch_cost: 2.7690 data_cost: 0.0015 ips: 28.8915 images/s [10/14 15:20:49] ppdet.engine INFO: Epoch: [94] [220/366] learning_rate: 0.309628 loss_vfl: 0.915081 loss_bbox: 0.338000 loss_dfl: 0.201448 loss: 1.461707 eta: 2 days, 10:26:12 batch_cost: 2.7340 data_cost: 0.0016 ips: 29.2611 images/s [10/14 15:21:48] ppdet.engine INFO: Epoch: [94] [240/366] learning_rate: 0.309532 loss_vfl: 0.923896 loss_bbox: 0.336114 loss_dfl: 0.201962 loss: 1.463421 eta: 2 days, 10:25:16 batch_cost: 2.7895 data_cost: 0.0016 ips: 28.6785 images/s [10/14 15:22:47] ppdet.engine INFO: Epoch: [94] [260/366] learning_rate: 0.309436 loss_vfl: 0.948407 loss_bbox: 0.317723 loss_dfl: 0.196720 loss: 1.475072 eta: 2 days, 10:24:21 batch_cost: 2.8183 data_cost: 0.0016 ips: 28.3855 images/s [10/14 15:23:45] ppdet.engine INFO: Epoch: [94] [280/366] learning_rate: 0.309340 loss_vfl: 0.924698 loss_bbox: 0.323998 loss_dfl: 0.201787 loss: 1.448405 eta: 2 days, 10:23:22 batch_cost: 2.7352 data_cost: 0.0016 ips: 29.2486 images/s [10/14 15:24:43] ppdet.engine INFO: Epoch: [94] [300/366] learning_rate: 0.309244 loss_vfl: 0.925356 loss_bbox: 0.330848 loss_dfl: 0.202641 loss: 1.459821 eta: 2 days, 10:22:24 batch_cost: 2.7553 data_cost: 0.0015 ips: 29.0350 images/s [10/14 15:25:41] ppdet.engine INFO: Epoch: [94] [320/366] learning_rate: 0.309148 loss_vfl: 0.923241 loss_bbox: 0.325010 loss_dfl: 0.197429 loss: 1.435119 eta: 2 days, 10:21:27 batch_cost: 2.7768 data_cost: 0.0016 ips: 28.8103 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[ 40/366] learning_rate: 0.308736 loss_vfl: 0.916238 loss_bbox: 0.326010 loss_dfl: 0.197546 loss: 1.429500 eta: 2 days, 10:17:46 batch_cost: 2.7642 data_cost: 0.0016 ips: 28.9413 images/s [10/14 15:31:06] ppdet.engine INFO: Epoch: [95] [ 60/366] learning_rate: 0.308640 loss_vfl: 0.940062 loss_bbox: 0.304241 loss_dfl: 0.197236 loss: 1.441225 eta: 2 days, 10:16:48 batch_cost: 2.7654 data_cost: 0.0016 ips: 28.9286 images/s [10/14 15:32:04] ppdet.engine INFO: Epoch: [95] [ 80/366] learning_rate: 0.308544 loss_vfl: 0.924550 loss_bbox: 0.342268 loss_dfl: 0.210820 loss: 1.490956 eta: 2 days, 10:15:51 batch_cost: 2.7708 data_cost: 0.0016 ips: 28.8730 images/s [10/14 15:33:03] ppdet.engine INFO: Epoch: [95] [100/366] learning_rate: 0.308447 loss_vfl: 0.933874 loss_bbox: 0.345814 loss_dfl: 0.203656 loss: 1.465876 eta: 2 days, 10:14:54 batch_cost: 2.7786 data_cost: 0.0017 ips: 28.7912 images/s [10/14 15:34:00] ppdet.engine INFO: Epoch: [95] [120/366] learning_rate: 0.308351 loss_vfl: 0.935643 loss_bbox: 0.321443 loss_dfl: 0.197192 loss: 1.465725 eta: 2 days, 10:13:56 batch_cost: 2.7462 data_cost: 0.0016 ips: 29.1314 images/s [10/14 15:34:59] ppdet.engine INFO: Epoch: [95] [140/366] learning_rate: 0.308255 loss_vfl: 0.931528 loss_bbox: 0.313810 loss_dfl: 0.193879 loss: 1.460553 eta: 2 days, 10:13:01 batch_cost: 2.8079 data_cost: 0.0016 ips: 28.4907 images/s [10/14 15:35:58] ppdet.engine INFO: Epoch: [95] [160/366] learning_rate: 0.308159 loss_vfl: 0.941283 loss_bbox: 0.320465 loss_dfl: 0.194239 loss: 1.444598 eta: 2 days, 10:12:03 batch_cost: 2.7602 data_cost: 0.0016 ips: 28.9835 images/s [10/14 15:36:57] ppdet.engine INFO: Epoch: [95] [180/366] learning_rate: 0.308063 loss_vfl: 0.959149 loss_bbox: 0.315402 loss_dfl: 0.197409 loss: 1.467581 eta: 2 days, 10:11:08 batch_cost: 2.8189 data_cost: 0.0016 ips: 28.3798 images/s [10/14 15:37:56] ppdet.engine INFO: Epoch: [95] [200/366] learning_rate: 0.307966 loss_vfl: 0.921117 loss_bbox: 0.321438 loss_dfl: 0.195997 loss: 1.446938 eta: 2 days, 10:10:11 batch_cost: 2.7791 data_cost: 0.0017 ips: 28.7865 images/s [10/14 15:38:55] ppdet.engine INFO: Epoch: [95] [220/366] learning_rate: 0.307870 loss_vfl: 0.920325 loss_bbox: 0.330235 loss_dfl: 0.196296 loss: 1.464742 eta: 2 days, 10:09:16 batch_cost: 2.8143 data_cost: 0.0016 ips: 28.4266 images/s [10/14 15:39:53] ppdet.engine INFO: Epoch: [95] [240/366] learning_rate: 0.307773 loss_vfl: 0.915079 loss_bbox: 0.340932 loss_dfl: 0.202091 loss: 1.447310 eta: 2 days, 10:08:18 batch_cost: 2.7617 data_cost: 0.0016 ips: 28.9672 images/s [10/14 15:40:51] ppdet.engine INFO: Epoch: [95] [260/366] learning_rate: 0.307677 loss_vfl: 0.938891 loss_bbox: 0.335128 loss_dfl: 0.202852 loss: 1.463732 eta: 2 days, 10:07:21 batch_cost: 2.7674 data_cost: 0.0016 ips: 28.9077 images/s [10/14 15:41:50] ppdet.engine INFO: Epoch: [95] [280/366] learning_rate: 0.307581 loss_vfl: 0.920329 loss_bbox: 0.332091 loss_dfl: 0.200489 loss: 1.454434 eta: 2 days, 10:06:24 batch_cost: 2.7817 data_cost: 0.0016 ips: 28.7591 images/s [10/14 15:42:49] ppdet.engine INFO: Epoch: [95] [300/366] learning_rate: 0.307484 loss_vfl: 0.940311 loss_bbox: 0.340274 loss_dfl: 0.201860 loss: 1.481150 eta: 2 days, 10:05:29 batch_cost: 2.8048 data_cost: 0.0024 ips: 28.5221 images/s [10/14 15:43:48] ppdet.engine INFO: Epoch: [95] [320/366] learning_rate: 0.307388 loss_vfl: 0.933415 loss_bbox: 0.317722 loss_dfl: 0.198896 loss: 1.466418 eta: 2 days, 10:04:34 batch_cost: 2.8282 data_cost: 0.0016 ips: 28.2862 images/s [10/14 15:44:45] ppdet.engine INFO: Epoch: [95] [340/366] learning_rate: 0.307291 loss_vfl: 0.931717 loss_bbox: 0.331681 loss_dfl: 0.199353 loss: 1.453292 eta: 2 days, 10:03:33 batch_cost: 2.6950 data_cost: 0.0016 ips: 29.6843 images/s [10/14 15:45:38] ppdet.engine INFO: Epoch: [95] [360/366] learning_rate: 0.307194 loss_vfl: 0.909208 loss_bbox: 0.323831 loss_dfl: 0.203476 loss: 1.463073 eta: 2 days, 10:02:24 batch_cost: 2.4870 data_cost: 0.0015 ips: 32.1667 images/s [10/14 15:46:15] ppdet.engine INFO: Epoch: [96] [ 0/366] learning_rate: 0.307165 loss_vfl: 0.904442 loss_bbox: 0.328783 loss_dfl: 0.203989 loss: 1.445276 eta: 2 days, 10:02:40 batch_cost: 3.2399 data_cost: 0.2846 ips: 24.6918 images/s [10/14 15:47:15] ppdet.engine INFO: Epoch: [96] [ 20/366] learning_rate: 0.307069 loss_vfl: 0.914859 loss_bbox: 0.329081 loss_dfl: 0.201845 loss: 1.454125 eta: 2 days, 10:01:48 batch_cost: 2.8993 data_cost: 0.0017 ips: 27.5924 images/s [10/14 15:48:13] ppdet.engine INFO: Epoch: [96] [ 40/366] learning_rate: 0.306972 loss_vfl: 0.927430 loss_bbox: 0.330657 loss_dfl: 0.197116 loss: 1.453099 eta: 2 days, 10:00:50 batch_cost: 2.7356 data_cost: 0.0016 ips: 29.2443 images/s [10/14 15:49:09] ppdet.engine INFO: Epoch: [96] [ 60/366] learning_rate: 0.306875 loss_vfl: 0.915296 loss_bbox: 0.354164 loss_dfl: 0.210549 loss: 1.481847 eta: 2 days, 9:59:48 batch_cost: 2.6773 data_cost: 0.0016 ips: 29.8804 images/s [10/14 15:50:06] ppdet.engine INFO: Epoch: [96] [ 80/366] learning_rate: 0.306779 loss_vfl: 0.936136 loss_bbox: 0.337095 loss_dfl: 0.202673 loss: 1.484670 eta: 2 days, 9:58:47 batch_cost: 2.6774 data_cost: 0.0017 ips: 29.8793 images/s [10/14 15:51:03] ppdet.engine INFO: Epoch: [96] [100/366] learning_rate: 0.306682 loss_vfl: 0.943738 loss_bbox: 0.329108 loss_dfl: 0.204286 loss: 1.460883 eta: 2 days, 9:57:46 batch_cost: 2.6738 data_cost: 0.0017 ips: 29.9194 images/s [10/14 15:52:01] ppdet.engine INFO: Epoch: [96] [120/366] learning_rate: 0.306585 loss_vfl: 0.931464 loss_bbox: 0.338394 loss_dfl: 0.204644 loss: 1.457665 eta: 2 days, 9:56:48 batch_cost: 2.7508 data_cost: 0.0016 ips: 29.0825 images/s [10/14 15:52:59] ppdet.engine INFO: Epoch: [96] [140/366] learning_rate: 0.306488 loss_vfl: 0.925263 loss_bbox: 0.348018 loss_dfl: 0.212229 loss: 1.472086 eta: 2 days, 9:55:50 batch_cost: 2.7531 data_cost: 0.0017 ips: 29.0582 images/s [10/14 15:53:57] ppdet.engine INFO: Epoch: [96] [160/366] learning_rate: 0.306391 loss_vfl: 0.928914 loss_bbox: 0.333836 loss_dfl: 0.202553 loss: 1.471280 eta: 2 days, 9:54:52 batch_cost: 2.7445 data_cost: 0.0017 ips: 29.1490 images/s [10/14 15:54:54] ppdet.engine INFO: Epoch: [96] [180/366] learning_rate: 0.306294 loss_vfl: 0.920131 loss_bbox: 0.313574 loss_dfl: 0.198063 loss: 1.458351 eta: 2 days, 9:53:53 batch_cost: 2.7188 data_cost: 0.0017 ips: 29.4244 images/s [10/14 15:55:51] ppdet.engine INFO: Epoch: [96] [200/366] learning_rate: 0.306197 loss_vfl: 0.937646 loss_bbox: 0.323374 loss_dfl: 0.200737 loss: 1.468188 eta: 2 days, 9:52:53 batch_cost: 2.7028 data_cost: 0.0016 ips: 29.5994 images/s [10/14 15:56:48] ppdet.engine INFO: Epoch: [96] [220/366] learning_rate: 0.306100 loss_vfl: 0.928509 loss_bbox: 0.319520 loss_dfl: 0.200527 loss: 1.448195 eta: 2 days, 9:51:53 batch_cost: 2.7116 data_cost: 0.0017 ips: 29.5031 images/s [10/14 15:57:46] ppdet.engine INFO: Epoch: [96] [240/366] learning_rate: 0.306003 loss_vfl: 0.917858 loss_bbox: 0.323362 loss_dfl: 0.197995 loss: 1.438627 eta: 2 days, 9:50:54 batch_cost: 2.7326 data_cost: 0.0016 ips: 29.2763 images/s [10/14 15:58:43] ppdet.engine INFO: Epoch: [96] [260/366] learning_rate: 0.305906 loss_vfl: 0.934567 loss_bbox: 0.337259 loss_dfl: 0.202737 loss: 1.480765 eta: 2 days, 9:49:55 batch_cost: 2.7252 data_cost: 0.0018 ips: 29.3557 images/s [10/14 15:59:42] ppdet.engine INFO: Epoch: [96] [280/366] learning_rate: 0.305809 loss_vfl: 0.924200 loss_bbox: 0.321873 loss_dfl: 0.199034 loss: 1.452797 eta: 2 days, 9:48:58 batch_cost: 2.7760 data_cost: 0.0017 ips: 28.8179 images/s [10/14 16:00:39] ppdet.engine INFO: Epoch: [96] [300/366] learning_rate: 0.305712 loss_vfl: 0.939346 loss_bbox: 0.309460 loss_dfl: 0.189406 loss: 1.437095 eta: 2 days, 9:47:59 batch_cost: 2.7085 data_cost: 0.0015 ips: 29.5366 images/s [10/14 16:01:35] ppdet.engine INFO: Epoch: [96] [320/366] learning_rate: 0.305615 loss_vfl: 0.932342 loss_bbox: 0.325720 loss_dfl: 0.198380 loss: 1.451817 eta: 2 days, 9:46:56 batch_cost: 2.6439 data_cost: 0.0017 ips: 30.2583 images/s [10/14 16:02:33] ppdet.engine INFO: Epoch: [96] [340/366] learning_rate: 0.305518 loss_vfl: 0.934367 loss_bbox: 0.325799 loss_dfl: 0.197480 loss: 1.444570 eta: 2 days, 9:45:58 batch_cost: 2.7543 data_cost: 0.0024 ips: 29.0453 images/s [10/14 16:03:25] ppdet.engine INFO: Epoch: [96] [360/366] learning_rate: 0.305420 loss_vfl: 0.936496 loss_bbox: 0.324810 loss_dfl: 0.198072 loss: 1.471397 eta: 2 days, 9:44:49 batch_cost: 2.4689 data_cost: 0.0016 ips: 32.4030 images/s [10/14 16:04:04] ppdet.engine INFO: Epoch: [97] [ 0/366] learning_rate: 0.305391 loss_vfl: 0.917248 loss_bbox: 0.325364 loss_dfl: 0.196274 loss: 1.458304 eta: 2 days, 9:45:09 batch_cost: 3.3634 data_cost: 0.5570 ips: 23.7858 images/s [10/14 16:05:04] ppdet.engine INFO: Epoch: [97] [ 20/366] learning_rate: 0.305294 loss_vfl: 0.925370 loss_bbox: 0.354919 loss_dfl: 0.211335 loss: 1.493650 eta: 2 days, 9:44:14 batch_cost: 2.8286 data_cost: 0.0018 ips: 28.2826 images/s [10/14 16:06:02] ppdet.engine INFO: Epoch: [97] [ 40/366] learning_rate: 0.305197 loss_vfl: 0.932080 loss_bbox: 0.325632 loss_dfl: 0.200108 loss: 1.461016 eta: 2 days, 9:43:15 batch_cost: 2.7374 data_cost: 0.0017 ips: 29.2246 images/s [10/14 16:07:00] ppdet.engine INFO: Epoch: [97] [ 60/366] learning_rate: 0.305099 loss_vfl: 0.941606 loss_bbox: 0.308024 loss_dfl: 0.194826 loss: 1.436962 eta: 2 days, 9:42:17 batch_cost: 2.7411 data_cost: 0.0017 ips: 29.1851 images/s [10/14 16:07:58] ppdet.engine INFO: Epoch: [97] [ 80/366] learning_rate: 0.305002 loss_vfl: 0.932650 loss_bbox: 0.312599 loss_dfl: 0.194478 loss: 1.448139 eta: 2 days, 9:41:20 batch_cost: 2.7831 data_cost: 0.0017 ips: 28.7449 images/s [10/14 16:08:56] ppdet.engine INFO: Epoch: [97] [100/366] learning_rate: 0.304904 loss_vfl: 0.929481 loss_bbox: 0.308318 loss_dfl: 0.194782 loss: 1.433945 eta: 2 days, 9:40:22 batch_cost: 2.7338 data_cost: 0.0016 ips: 29.2633 images/s [10/14 16:09:52] ppdet.engine INFO: Epoch: [97] [120/366] learning_rate: 0.304807 loss_vfl: 0.928585 loss_bbox: 0.315697 loss_dfl: 0.197540 loss: 1.437381 eta: 2 days, 9:39:21 batch_cost: 2.6692 data_cost: 0.0016 ips: 29.9714 images/s [10/14 16:10:48] ppdet.engine INFO: Epoch: [97] [140/366] learning_rate: 0.304709 loss_vfl: 0.920438 loss_bbox: 0.324695 loss_dfl: 0.194045 loss: 1.436855 eta: 2 days, 9:38:18 batch_cost: 2.6405 data_cost: 0.0017 ips: 30.2970 images/s [10/14 16:11:44] ppdet.engine INFO: Epoch: [97] [160/366] learning_rate: 0.304612 loss_vfl: 0.931476 loss_bbox: 0.334729 loss_dfl: 0.208489 loss: 1.466029 eta: 2 days, 9:37:16 batch_cost: 2.6482 data_cost: 0.0016 ips: 30.2095 images/s [10/14 16:12:40] ppdet.engine INFO: Epoch: [97] [180/366] learning_rate: 0.304514 loss_vfl: 0.940609 loss_bbox: 0.328551 loss_dfl: 0.199263 loss: 1.469363 eta: 2 days, 9:36:14 batch_cost: 2.6565 data_cost: 0.0016 ips: 30.1150 images/s [10/14 16:13:37] ppdet.engine INFO: Epoch: [97] [200/366] learning_rate: 0.304417 loss_vfl: 0.928153 loss_bbox: 0.337861 loss_dfl: 0.201733 loss: 1.462342 eta: 2 days, 9:35:14 batch_cost: 2.7019 data_cost: 0.0017 ips: 29.6086 images/s [10/14 16:14:34] ppdet.engine INFO: Epoch: [97] [220/366] learning_rate: 0.304319 loss_vfl: 0.923883 loss_bbox: 0.330733 loss_dfl: 0.200144 loss: 1.468307 eta: 2 days, 9:34:14 batch_cost: 2.6895 data_cost: 0.0016 ips: 29.7450 images/s [10/14 16:15:32] ppdet.engine INFO: Epoch: [97] [240/366] learning_rate: 0.304221 loss_vfl: 0.928511 loss_bbox: 0.323324 loss_dfl: 0.200434 loss: 1.465399 eta: 2 days, 9:33:16 batch_cost: 2.7514 data_cost: 0.0016 ips: 29.0766 images/s [10/14 16:16:27] ppdet.engine INFO: Epoch: [97] [260/366] learning_rate: 0.304124 loss_vfl: 0.923820 loss_bbox: 0.332881 loss_dfl: 0.195353 loss: 1.450649 eta: 2 days, 9:32:12 batch_cost: 2.6176 data_cost: 0.0016 ips: 30.5619 images/s [10/14 16:17:24] ppdet.engine INFO: Epoch: [97] [280/366] learning_rate: 0.304026 loss_vfl: 0.939776 loss_bbox: 0.309834 loss_dfl: 0.193008 loss: 1.437967 eta: 2 days, 9:31:12 batch_cost: 2.6888 data_cost: 0.0021 ips: 29.7535 images/s [10/14 16:18:20] ppdet.engine INFO: Epoch: [97] [300/366] learning_rate: 0.303928 loss_vfl: 0.933926 loss_bbox: 0.320930 loss_dfl: 0.198927 loss: 1.474398 eta: 2 days, 9:30:11 batch_cost: 2.6682 data_cost: 0.0016 ips: 29.9825 images/s [10/14 16:19:18] ppdet.engine INFO: Epoch: [97] [320/366] learning_rate: 0.303830 loss_vfl: 0.909719 loss_bbox: 0.340396 loss_dfl: 0.206895 loss: 1.452209 eta: 2 days, 9:29:13 batch_cost: 2.7489 data_cost: 0.0016 ips: 29.1021 images/s [10/14 16:20:15] ppdet.engine INFO: Epoch: [97] [340/366] learning_rate: 0.303733 loss_vfl: 0.935008 loss_bbox: 0.337103 loss_dfl: 0.206532 loss: 1.474057 eta: 2 days, 9:28:13 batch_cost: 2.7137 data_cost: 0.0016 ips: 29.4805 images/s [10/14 16:21:10] ppdet.engine INFO: Epoch: [97] [360/366] learning_rate: 0.303635 loss_vfl: 0.924777 loss_bbox: 0.306959 loss_dfl: 0.190716 loss: 1.455393 eta: 2 days, 9:27:09 batch_cost: 2.6004 data_cost: 0.0015 ips: 30.7649 images/s [10/14 16:21:45] ppdet.engine INFO: Epoch: [98] [ 0/366] learning_rate: 0.303605 loss_vfl: 0.925055 loss_bbox: 0.318215 loss_dfl: 0.193992 loss: 1.460800 eta: 2 days, 9:27:21 batch_cost: 3.3375 data_cost: 0.4047 ips: 23.9702 images/s [10/14 16:22:47] ppdet.engine INFO: Epoch: [98] [ 20/366] learning_rate: 0.303507 loss_vfl: 0.915949 loss_bbox: 0.322726 loss_dfl: 0.195046 loss: 1.455805 eta: 2 days, 9:26:30 batch_cost: 2.9131 data_cost: 0.0016 ips: 27.4622 images/s [10/14 16:23:47] ppdet.engine INFO: Epoch: [98] [ 40/366] learning_rate: 0.303410 loss_vfl: 0.922719 loss_bbox: 0.334334 loss_dfl: 0.198653 loss: 1.441181 eta: 2 days, 9:25:37 batch_cost: 2.8686 data_cost: 0.0017 ips: 27.8881 images/s [10/14 16:24:45] ppdet.engine INFO: Epoch: [98] [ 60/366] learning_rate: 0.303312 loss_vfl: 0.918488 loss_bbox: 0.358698 loss_dfl: 0.208507 loss: 1.484629 eta: 2 days, 9:24:39 batch_cost: 2.7484 data_cost: 0.0016 ips: 29.1073 images/s [10/14 16:25:42] ppdet.engine INFO: Epoch: [98] [ 80/366] learning_rate: 0.303214 loss_vfl: 0.929399 loss_bbox: 0.322136 loss_dfl: 0.201465 loss: 1.443974 eta: 2 days, 9:23:40 batch_cost: 2.7285 data_cost: 0.0016 ips: 29.3204 images/s [10/14 16:26:39] ppdet.engine INFO: Epoch: [98] [100/366] learning_rate: 0.303116 loss_vfl: 0.906542 loss_bbox: 0.326250 loss_dfl: 0.199156 loss: 1.428033 eta: 2 days, 9:22:40 batch_cost: 2.6906 data_cost: 0.0023 ips: 29.7327 images/s [10/14 16:27:35] ppdet.engine INFO: Epoch: [98] [120/366] learning_rate: 0.303017 loss_vfl: 0.930965 loss_bbox: 0.330277 loss_dfl: 0.198463 loss: 1.468774 eta: 2 days, 9:21:37 batch_cost: 2.6303 data_cost: 0.0016 ips: 30.4150 images/s [10/14 16:28:31] ppdet.engine INFO: Epoch: [98] [140/366] learning_rate: 0.302919 loss_vfl: 0.921017 loss_bbox: 0.333591 loss_dfl: 0.199814 loss: 1.461470 eta: 2 days, 9:20:36 batch_cost: 2.6691 data_cost: 0.0017 ips: 29.9729 images/s [10/14 16:29:27] ppdet.engine INFO: Epoch: [98] [160/366] learning_rate: 0.302821 loss_vfl: 0.923926 loss_bbox: 0.317730 loss_dfl: 0.192338 loss: 1.438472 eta: 2 days, 9:19:35 batch_cost: 2.6700 data_cost: 0.0016 ips: 29.9625 images/s [10/14 16:30:24] ppdet.engine INFO: Epoch: [98] [180/366] learning_rate: 0.302723 loss_vfl: 0.915229 loss_bbox: 0.315529 loss_dfl: 0.197756 loss: 1.442510 eta: 2 days, 9:18:35 batch_cost: 2.7150 data_cost: 0.0017 ips: 29.4665 images/s [10/14 16:31:22] ppdet.engine INFO: Epoch: [98] [200/366] learning_rate: 0.302625 loss_vfl: 0.927787 loss_bbox: 0.340401 loss_dfl: 0.207761 loss: 1.482910 eta: 2 days, 9:17:37 batch_cost: 2.7326 data_cost: 0.0016 ips: 29.2763 images/s [10/14 16:32:20] ppdet.engine INFO: Epoch: [98] [220/366] learning_rate: 0.302527 loss_vfl: 0.935361 loss_bbox: 0.302461 loss_dfl: 0.189352 loss: 1.441701 eta: 2 days, 9:16:39 batch_cost: 2.7566 data_cost: 0.0017 ips: 29.0213 images/s [10/14 16:33:16] ppdet.engine INFO: Epoch: [98] [240/366] learning_rate: 0.302428 loss_vfl: 0.932824 loss_bbox: 0.313981 loss_dfl: 0.193986 loss: 1.446890 eta: 2 days, 9:15:37 batch_cost: 2.6346 data_cost: 0.0017 ips: 30.3651 images/s [10/14 16:34:13] ppdet.engine INFO: Epoch: [98] [260/366] learning_rate: 0.302330 loss_vfl: 0.917688 loss_bbox: 0.315449 loss_dfl: 0.188851 loss: 1.419182 eta: 2 days, 9:14:36 batch_cost: 2.6714 data_cost: 0.0016 ips: 29.9466 images/s [10/14 16:35:11] ppdet.engine INFO: Epoch: [98] [280/366] learning_rate: 0.302232 loss_vfl: 0.934401 loss_bbox: 0.332188 loss_dfl: 0.198278 loss: 1.462890 eta: 2 days, 9:13:38 batch_cost: 2.7583 data_cost: 0.0018 ips: 29.0033 images/s [10/14 16:36:07] ppdet.engine INFO: Epoch: [98] [300/366] learning_rate: 0.302133 loss_vfl: 0.941260 loss_bbox: 0.330022 loss_dfl: 0.198728 loss: 1.469666 eta: 2 days, 9:12:36 batch_cost: 2.6433 data_cost: 0.0016 ips: 30.2656 images/s [10/14 16:37:03] ppdet.engine INFO: Epoch: [98] [320/366] learning_rate: 0.302035 loss_vfl: 0.930572 loss_bbox: 0.320699 loss_dfl: 0.197749 loss: 1.451846 eta: 2 days, 9:11:34 batch_cost: 2.6597 data_cost: 0.0016 ips: 30.0782 images/s [10/14 16:37:59] ppdet.engine INFO: Epoch: [98] [340/366] learning_rate: 0.301936 loss_vfl: 0.926177 loss_bbox: 0.325932 loss_dfl: 0.196141 loss: 1.459059 eta: 2 days, 9:10:34 batch_cost: 2.6794 data_cost: 0.0016 ips: 29.8569 images/s [10/14 16:38:54] ppdet.engine INFO: Epoch: [98] [360/366] learning_rate: 0.301838 loss_vfl: 0.930538 loss_bbox: 0.329353 loss_dfl: 0.201555 loss: 1.469201 eta: 2 days, 9:09:30 batch_cost: 2.5980 data_cost: 0.0016 ips: 30.7926 images/s [10/14 16:39:33] ppdet.engine INFO: Epoch: [99] [ 0/366] learning_rate: 0.301808 loss_vfl: 0.943587 loss_bbox: 0.329353 loss_dfl: 0.203260 loss: 1.470346 eta: 2 days, 9:09:47 batch_cost: 3.4321 data_cost: 0.4012 ips: 23.3095 images/s [10/14 16:40:31] ppdet.engine INFO: Epoch: [99] [ 20/366] learning_rate: 0.301710 loss_vfl: 0.920227 loss_bbox: 0.338060 loss_dfl: 0.204886 loss: 1.463800 eta: 2 days, 9:08:49 batch_cost: 2.7451 data_cost: 0.0017 ips: 29.1427 images/s [10/14 16:41:28] ppdet.engine INFO: Epoch: [99] [ 40/366] learning_rate: 0.301611 loss_vfl: 0.940723 loss_bbox: 0.323377 loss_dfl: 0.201822 loss: 1.473471 eta: 2 days, 9:07:49 batch_cost: 2.6950 data_cost: 0.0016 ips: 29.6848 images/s [10/14 16:42:27] ppdet.engine INFO: Epoch: [99] [ 60/366] learning_rate: 0.301513 loss_vfl: 0.939896 loss_bbox: 0.315027 loss_dfl: 0.195675 loss: 1.455169 eta: 2 days, 9:06:52 batch_cost: 2.7910 data_cost: 0.0017 ips: 28.6639 images/s [10/14 16:43:25] ppdet.engine INFO: Epoch: [99] [ 80/366] learning_rate: 0.301414 loss_vfl: 0.918818 loss_bbox: 0.345728 loss_dfl: 0.205912 loss: 1.484647 eta: 2 days, 9:05:54 batch_cost: 2.7347 data_cost: 0.0017 ips: 29.2542 images/s [10/14 16:44:21] ppdet.engine INFO: Epoch: [99] [100/366] learning_rate: 0.301315 loss_vfl: 0.929024 loss_bbox: 0.329061 loss_dfl: 0.204371 loss: 1.462774 eta: 2 days, 9:04:53 batch_cost: 2.6739 data_cost: 0.0017 ips: 29.9186 images/s [10/14 16:45:19] ppdet.engine INFO: Epoch: [99] [120/366] learning_rate: 0.301217 loss_vfl: 0.914604 loss_bbox: 0.343854 loss_dfl: 0.197010 loss: 1.459410 eta: 2 days, 9:03:56 batch_cost: 2.7608 data_cost: 0.0019 ips: 28.9776 images/s [10/14 16:46:14] ppdet.engine INFO: Epoch: [99] [140/366] learning_rate: 0.301118 loss_vfl: 0.927320 loss_bbox: 0.319381 loss_dfl: 0.193231 loss: 1.458033 eta: 2 days, 9:02:52 batch_cost: 2.6185 data_cost: 0.0016 ips: 30.5513 images/s [10/14 16:47:10] ppdet.engine INFO: Epoch: [99] [160/366] learning_rate: 0.301019 loss_vfl: 0.911478 loss_bbox: 0.323354 loss_dfl: 0.197231 loss: 1.411562 eta: 2 days, 9:01:50 batch_cost: 2.6418 data_cost: 0.0016 ips: 30.2829 images/s [10/14 16:48:08] ppdet.engine INFO: Epoch: [99] [180/366] learning_rate: 0.300920 loss_vfl: 0.929946 loss_bbox: 0.314324 loss_dfl: 0.193944 loss: 1.453233 eta: 2 days, 9:00:51 batch_cost: 2.7196 data_cost: 0.0016 ips: 29.4160 images/s [10/14 16:49:05] ppdet.engine INFO: Epoch: [99] [200/366] learning_rate: 0.300822 loss_vfl: 0.909426 loss_bbox: 0.325788 loss_dfl: 0.197439 loss: 1.446527 eta: 2 days, 8:59:52 batch_cost: 2.7264 data_cost: 0.0016 ips: 29.3428 images/s [10/14 16:50:02] ppdet.engine INFO: Epoch: [99] [220/366] learning_rate: 0.300723 loss_vfl: 0.936284 loss_bbox: 0.328975 loss_dfl: 0.198632 loss: 1.479706 eta: 2 days, 8:58:53 batch_cost: 2.7137 data_cost: 0.0016 ips: 29.4801 images/s [10/14 16:50:58] ppdet.engine INFO: Epoch: [99] [240/366] learning_rate: 0.300624 loss_vfl: 0.928939 loss_bbox: 0.320140 loss_dfl: 0.202359 loss: 1.466344 eta: 2 days, 8:57:52 batch_cost: 2.6662 data_cost: 0.0016 ips: 30.0049 images/s [10/14 16:51:55] ppdet.engine INFO: Epoch: [99] [260/366] learning_rate: 0.300525 loss_vfl: 0.945681 loss_bbox: 0.322988 loss_dfl: 0.196712 loss: 1.464701 eta: 2 days, 8:56:52 batch_cost: 2.6916 data_cost: 0.0016 ips: 29.7219 images/s [10/14 16:52:54] ppdet.engine INFO: Epoch: [99] [280/366] learning_rate: 0.300426 loss_vfl: 0.928693 loss_bbox: 0.319942 loss_dfl: 0.198333 loss: 1.457414 eta: 2 days, 8:55:55 batch_cost: 2.7667 data_cost: 0.0017 ips: 28.9154 images/s [10/14 16:53:52] ppdet.engine INFO: Epoch: [99] [300/366] learning_rate: 0.300327 loss_vfl: 0.931104 loss_bbox: 0.308898 loss_dfl: 0.190136 loss: 1.428397 eta: 2 days, 8:54:57 batch_cost: 2.7625 data_cost: 0.0016 ips: 28.9598 images/s [10/14 16:54:48] ppdet.engine INFO: Epoch: [99] [320/366] learning_rate: 0.300228 loss_vfl: 0.927516 loss_bbox: 0.334637 loss_dfl: 0.203580 loss: 1.478428 eta: 2 days, 8:53:55 batch_cost: 2.6485 data_cost: 0.0016 ips: 30.2055 images/s [10/14 16:55:44] ppdet.engine INFO: Epoch: [99] [340/366] learning_rate: 0.300129 loss_vfl: 0.946399 loss_bbox: 0.320997 loss_dfl: 0.195934 loss: 1.452155 eta: 2 days, 8:52:54 batch_cost: 2.6678 data_cost: 0.0016 ips: 29.9868 images/s [10/14 16:56:35] ppdet.engine INFO: Epoch: [99] [360/366] learning_rate: 0.300030 loss_vfl: 0.914765 loss_bbox: 0.333890 loss_dfl: 0.202953 loss: 1.452871 eta: 2 days, 8:51:43 batch_cost: 2.4045 data_cost: 0.0015 ips: 33.2714 images/s [10/14 16:56:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 16:56:52] ppdet.engine INFO: Eval iter: 0 [10/14 16:57:34] ppdet.engine INFO: Eval iter: 100 [10/14 16:57:57] ppdet.engine INFO: Eval iter: 200 [10/14 16:58:21] ppdet.engine INFO: Eval iter: 300 [10/14 16:58:45] ppdet.engine INFO: Eval iter: 400 [10/14 16:59:09] ppdet.engine INFO: Eval iter: 500 [10/14 16:59:33] ppdet.engine INFO: Eval iter: 600 [10/14 16:59:54] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/14 16:59:55] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.28s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.32s). Accumulating evaluation results... DONE (t=17.69s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.281 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.424 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.292 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.290 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.264 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.415 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.443 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.177 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.694 [10/14 17:01:58] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.508707013300825 [10/14 17:01:58] ppdet.engine INFO: Best test bbox ap is 0.281. [10/14 17:01:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 17:02:01] ppdet.engine INFO: Epoch: [100] [ 0/366] learning_rate: 0.300000 loss_vfl: 0.929839 loss_bbox: 0.332422 loss_dfl: 0.201701 loss: 1.462603 eta: 2 days, 8:51:19 batch_cost: 2.2584 data_cost: 0.0016 ips: 35.4229 images/s [10/14 17:03:02] ppdet.engine INFO: Epoch: [100] [ 20/366] learning_rate: 0.299901 loss_vfl: 0.923360 loss_bbox: 0.328425 loss_dfl: 0.203052 loss: 1.458018 eta: 2 days, 8:50:27 batch_cost: 2.8927 data_cost: 0.0019 ips: 27.6559 images/s [10/14 17:04:00] ppdet.engine INFO: Epoch: [100] [ 40/366] learning_rate: 0.299802 loss_vfl: 0.930944 loss_bbox: 0.338081 loss_dfl: 0.206394 loss: 1.464087 eta: 2 days, 8:49:28 batch_cost: 2.7292 data_cost: 0.0016 ips: 29.3125 images/s [10/14 17:04:57] ppdet.engine INFO: Epoch: [100] [ 60/366] learning_rate: 0.299703 loss_vfl: 0.916509 loss_bbox: 0.318962 loss_dfl: 0.195565 loss: 1.442185 eta: 2 days, 8:48:29 batch_cost: 2.7253 data_cost: 0.0017 ips: 29.3544 images/s [10/14 17:05:55] ppdet.engine INFO: Epoch: [100] [ 80/366] learning_rate: 0.299603 loss_vfl: 0.925051 loss_bbox: 0.319043 loss_dfl: 0.195400 loss: 1.428887 eta: 2 days, 8:47:32 batch_cost: 2.7531 data_cost: 0.0016 ips: 29.0578 images/s [10/14 17:06:52] ppdet.engine INFO: Epoch: [100] [100/366] learning_rate: 0.299504 loss_vfl: 0.916885 loss_bbox: 0.319263 loss_dfl: 0.196339 loss: 1.445928 eta: 2 days, 8:46:32 batch_cost: 2.6985 data_cost: 0.0016 ips: 29.6460 images/s [10/14 17:07:49] ppdet.engine INFO: Epoch: [100] [120/366] learning_rate: 0.299405 loss_vfl: 0.914525 loss_bbox: 0.330996 loss_dfl: 0.194893 loss: 1.448384 eta: 2 days, 8:45:31 batch_cost: 2.6809 data_cost: 0.0016 ips: 29.8410 images/s [10/14 17:08:45] ppdet.engine INFO: Epoch: [100] [140/366] learning_rate: 0.299305 loss_vfl: 0.938027 loss_bbox: 0.330525 loss_dfl: 0.197922 loss: 1.460344 eta: 2 days, 8:44:30 batch_cost: 2.6524 data_cost: 0.0016 ips: 30.1613 images/s [10/14 17:09:42] ppdet.engine INFO: Epoch: [100] [160/366] learning_rate: 0.299206 loss_vfl: 0.931695 loss_bbox: 0.317030 loss_dfl: 0.202883 loss: 1.448066 eta: 2 days, 8:43:30 batch_cost: 2.6922 data_cost: 0.0016 ips: 29.7158 images/s [10/14 17:10:39] ppdet.engine INFO: Epoch: [100] [180/366] learning_rate: 0.299107 loss_vfl: 0.952009 loss_bbox: 0.326044 loss_dfl: 0.202887 loss: 1.473170 eta: 2 days, 8:42:30 batch_cost: 2.7126 data_cost: 0.0016 ips: 29.4922 images/s [10/14 17:11:35] ppdet.engine INFO: Epoch: [100] [200/366] learning_rate: 0.299007 loss_vfl: 0.929065 loss_bbox: 0.365405 loss_dfl: 0.217883 loss: 1.497094 eta: 2 days, 8:41:30 batch_cost: 2.6911 data_cost: 0.0016 ips: 29.7281 images/s [10/14 17:12:33] ppdet.engine INFO: Epoch: [100] [220/366] learning_rate: 0.298908 loss_vfl: 0.917522 loss_bbox: 0.332620 loss_dfl: 0.200614 loss: 1.458652 eta: 2 days, 8:40:32 batch_cost: 2.7231 data_cost: 0.0017 ips: 29.3781 images/s [10/14 17:13:30] ppdet.engine INFO: Epoch: [100] [240/366] learning_rate: 0.298808 loss_vfl: 0.919034 loss_bbox: 0.339787 loss_dfl: 0.201269 loss: 1.458679 eta: 2 days, 8:39:33 batch_cost: 2.7226 data_cost: 0.0016 ips: 29.3839 images/s [10/14 17:14:29] ppdet.engine INFO: Epoch: [100] [260/366] learning_rate: 0.298709 loss_vfl: 0.941758 loss_bbox: 0.325169 loss_dfl: 0.208790 loss: 1.450923 eta: 2 days, 8:38:36 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9150 images/s [10/14 17:15:26] ppdet.engine INFO: Epoch: [100] [280/366] learning_rate: 0.298609 loss_vfl: 0.929874 loss_bbox: 0.318249 loss_dfl: 0.197673 loss: 1.458863 eta: 2 days, 8:37:36 batch_cost: 2.6902 data_cost: 0.0016 ips: 29.7375 images/s [10/14 17:16:23] ppdet.engine INFO: Epoch: [100] [300/366] learning_rate: 0.298510 loss_vfl: 0.934274 loss_bbox: 0.318104 loss_dfl: 0.197273 loss: 1.457187 eta: 2 days, 8:36:37 batch_cost: 2.7273 data_cost: 0.0016 ips: 29.3325 images/s [10/14 17:17:21] ppdet.engine INFO: Epoch: [100] [320/366] learning_rate: 0.298410 loss_vfl: 0.924359 loss_bbox: 0.336348 loss_dfl: 0.202539 loss: 1.462284 eta: 2 days, 8:35:39 batch_cost: 2.7502 data_cost: 0.0016 ips: 29.0889 images/s [10/14 17:18:18] ppdet.engine INFO: Epoch: [100] [340/366] learning_rate: 0.298310 loss_vfl: 0.914640 loss_bbox: 0.324500 loss_dfl: 0.198704 loss: 1.447129 eta: 2 days, 8:34:39 batch_cost: 2.6915 data_cost: 0.0016 ips: 29.7227 images/s [10/14 17:19:10] ppdet.engine INFO: Epoch: [100] [360/366] learning_rate: 0.298211 loss_vfl: 0.928088 loss_bbox: 0.320837 loss_dfl: 0.193261 loss: 1.444263 eta: 2 days, 8:33:30 batch_cost: 2.4679 data_cost: 0.0016 ips: 32.4161 images/s [10/14 17:19:48] ppdet.engine INFO: Epoch: [101] [ 0/366] learning_rate: 0.298181 loss_vfl: 0.924209 loss_bbox: 0.323702 loss_dfl: 0.193261 loss: 1.450561 eta: 2 days, 8:33:47 batch_cost: 3.3366 data_cost: 0.5562 ips: 23.9768 images/s [10/14 17:20:47] ppdet.engine INFO: Epoch: [101] [ 20/366] learning_rate: 0.298081 loss_vfl: 0.938545 loss_bbox: 0.346393 loss_dfl: 0.202259 loss: 1.472309 eta: 2 days, 8:32:51 batch_cost: 2.7851 data_cost: 0.0017 ips: 28.7246 images/s [10/14 17:21:45] ppdet.engine INFO: Epoch: [101] [ 40/366] learning_rate: 0.297981 loss_vfl: 0.930076 loss_bbox: 0.322912 loss_dfl: 0.200509 loss: 1.472147 eta: 2 days, 8:31:53 batch_cost: 2.7575 data_cost: 0.0016 ips: 29.0117 images/s [10/14 17:22:44] ppdet.engine INFO: Epoch: [101] [ 60/366] learning_rate: 0.297881 loss_vfl: 0.938626 loss_bbox: 0.328544 loss_dfl: 0.201216 loss: 1.464561 eta: 2 days, 8:30:56 batch_cost: 2.7654 data_cost: 0.0018 ips: 28.9290 images/s [10/14 17:23:42] ppdet.engine INFO: Epoch: [101] [ 80/366] learning_rate: 0.297782 loss_vfl: 0.932109 loss_bbox: 0.319604 loss_dfl: 0.199780 loss: 1.455632 eta: 2 days, 8:29:59 batch_cost: 2.7660 data_cost: 0.0016 ips: 28.9230 images/s [10/14 17:24:39] ppdet.engine INFO: Epoch: [101] [100/366] learning_rate: 0.297682 loss_vfl: 0.916687 loss_bbox: 0.328604 loss_dfl: 0.196948 loss: 1.449404 eta: 2 days, 8:29:00 batch_cost: 2.7129 data_cost: 0.0017 ips: 29.4889 images/s [10/14 17:25:37] ppdet.engine INFO: Epoch: [101] [120/366] learning_rate: 0.297582 loss_vfl: 0.929299 loss_bbox: 0.327031 loss_dfl: 0.191864 loss: 1.433463 eta: 2 days, 8:28:02 batch_cost: 2.7462 data_cost: 0.0016 ips: 29.1312 images/s [10/14 17:26:36] ppdet.engine INFO: Epoch: [101] [140/366] learning_rate: 0.297482 loss_vfl: 0.910230 loss_bbox: 0.322035 loss_dfl: 0.193773 loss: 1.430660 eta: 2 days, 8:27:07 batch_cost: 2.8033 data_cost: 0.0016 ips: 28.5382 images/s [10/14 17:27:33] ppdet.engine INFO: Epoch: [101] [160/366] learning_rate: 0.297382 loss_vfl: 0.933803 loss_bbox: 0.314532 loss_dfl: 0.198427 loss: 1.460654 eta: 2 days, 8:26:08 batch_cost: 2.7176 data_cost: 0.0016 ips: 29.4374 images/s [10/14 17:28:31] ppdet.engine INFO: Epoch: [101] [180/366] learning_rate: 0.297282 loss_vfl: 0.920543 loss_bbox: 0.325372 loss_dfl: 0.195083 loss: 1.438034 eta: 2 days, 8:25:08 batch_cost: 2.7139 data_cost: 0.0015 ips: 29.4782 images/s [10/14 17:29:27] ppdet.engine INFO: Epoch: [101] [200/366] learning_rate: 0.297182 loss_vfl: 0.920650 loss_bbox: 0.337844 loss_dfl: 0.203438 loss: 1.458243 eta: 2 days, 8:24:08 batch_cost: 2.6890 data_cost: 0.0015 ips: 29.7508 images/s [10/14 17:30:24] ppdet.engine INFO: Epoch: [101] [220/366] learning_rate: 0.297082 loss_vfl: 0.927823 loss_bbox: 0.336461 loss_dfl: 0.205868 loss: 1.472465 eta: 2 days, 8:23:08 batch_cost: 2.6862 data_cost: 0.0016 ips: 29.7814 images/s [10/14 17:31:21] ppdet.engine INFO: Epoch: [101] [240/366] learning_rate: 0.296982 loss_vfl: 0.932604 loss_bbox: 0.339430 loss_dfl: 0.208063 loss: 1.488720 eta: 2 days, 8:22:07 batch_cost: 2.6682 data_cost: 0.0016 ips: 29.9826 images/s [10/14 17:32:16] ppdet.engine INFO: Epoch: [101] [260/366] learning_rate: 0.296882 loss_vfl: 0.924469 loss_bbox: 0.317567 loss_dfl: 0.200065 loss: 1.453336 eta: 2 days, 8:21:05 batch_cost: 2.6403 data_cost: 0.0016 ips: 30.2991 images/s [10/14 17:33:13] ppdet.engine INFO: Epoch: [101] [280/366] learning_rate: 0.296782 loss_vfl: 0.926773 loss_bbox: 0.352189 loss_dfl: 0.209852 loss: 1.481777 eta: 2 days, 8:20:05 batch_cost: 2.6728 data_cost: 0.0016 ips: 29.9314 images/s [10/14 17:34:08] ppdet.engine INFO: Epoch: [101] [300/366] learning_rate: 0.296682 loss_vfl: 0.923127 loss_bbox: 0.327163 loss_dfl: 0.194693 loss: 1.450426 eta: 2 days, 8:19:03 batch_cost: 2.6353 data_cost: 0.0016 ips: 30.3570 images/s [10/14 17:35:05] ppdet.engine INFO: Epoch: [101] [320/366] learning_rate: 0.296581 loss_vfl: 0.939319 loss_bbox: 0.337287 loss_dfl: 0.201410 loss: 1.478290 eta: 2 days, 8:18:02 batch_cost: 2.6747 data_cost: 0.0015 ips: 29.9103 images/s [10/14 17:36:02] ppdet.engine INFO: Epoch: [101] [340/366] learning_rate: 0.296481 loss_vfl: 0.913843 loss_bbox: 0.339748 loss_dfl: 0.202124 loss: 1.457545 eta: 2 days, 8:17:03 batch_cost: 2.7060 data_cost: 0.0015 ips: 29.5634 images/s [10/14 17:36:54] ppdet.engine INFO: Epoch: [101] [360/366] learning_rate: 0.296381 loss_vfl: 0.945474 loss_bbox: 0.326988 loss_dfl: 0.202195 loss: 1.464961 eta: 2 days, 8:15:54 batch_cost: 2.4789 data_cost: 0.0016 ips: 32.2723 images/s [10/14 17:37:34] ppdet.engine INFO: Epoch: [102] [ 0/366] learning_rate: 0.296351 loss_vfl: 0.945474 loss_bbox: 0.333544 loss_dfl: 0.203076 loss: 1.473438 eta: 2 days, 8:16:14 batch_cost: 3.4231 data_cost: 0.5982 ips: 23.3708 images/s [10/14 17:38:33] ppdet.engine INFO: Epoch: [102] [ 20/366] learning_rate: 0.296250 loss_vfl: 0.933705 loss_bbox: 0.327124 loss_dfl: 0.194870 loss: 1.441619 eta: 2 days, 8:15:17 batch_cost: 2.7849 data_cost: 0.0017 ips: 28.7259 images/s [10/14 17:39:30] ppdet.engine INFO: Epoch: [102] [ 40/366] learning_rate: 0.296150 loss_vfl: 0.933378 loss_bbox: 0.337590 loss_dfl: 0.195957 loss: 1.454800 eta: 2 days, 8:14:18 batch_cost: 2.6942 data_cost: 0.0016 ips: 29.6934 images/s [10/14 17:40:28] ppdet.engine INFO: Epoch: [102] [ 60/366] learning_rate: 0.296050 loss_vfl: 0.918901 loss_bbox: 0.323249 loss_dfl: 0.195060 loss: 1.440491 eta: 2 days, 8:13:21 batch_cost: 2.7744 data_cost: 0.0016 ips: 28.8347 images/s [10/14 17:41:25] ppdet.engine INFO: Epoch: [102] [ 80/366] learning_rate: 0.295949 loss_vfl: 0.938702 loss_bbox: 0.324487 loss_dfl: 0.202572 loss: 1.454948 eta: 2 days, 8:12:21 batch_cost: 2.6814 data_cost: 0.0017 ips: 29.8350 images/s [10/14 17:42:22] ppdet.engine INFO: Epoch: [102] [100/366] learning_rate: 0.295849 loss_vfl: 0.933987 loss_bbox: 0.315204 loss_dfl: 0.193966 loss: 1.435701 eta: 2 days, 8:11:21 batch_cost: 2.6996 data_cost: 0.0016 ips: 29.6337 images/s [10/14 17:43:19] ppdet.engine INFO: Epoch: [102] [120/366] learning_rate: 0.295748 loss_vfl: 0.951530 loss_bbox: 0.308898 loss_dfl: 0.194948 loss: 1.463854 eta: 2 days, 8:10:22 batch_cost: 2.7216 data_cost: 0.0017 ips: 29.3947 images/s [10/14 17:44:16] ppdet.engine INFO: Epoch: [102] [140/366] learning_rate: 0.295648 loss_vfl: 0.914959 loss_bbox: 0.332708 loss_dfl: 0.200705 loss: 1.435755 eta: 2 days, 8:09:22 batch_cost: 2.6948 data_cost: 0.0016 ips: 29.6863 images/s [10/14 17:45:13] ppdet.engine INFO: Epoch: [102] [160/366] learning_rate: 0.295547 loss_vfl: 0.921534 loss_bbox: 0.322164 loss_dfl: 0.201433 loss: 1.462352 eta: 2 days, 8:08:22 batch_cost: 2.6699 data_cost: 0.0018 ips: 29.9637 images/s [10/14 17:46:09] ppdet.engine INFO: Epoch: [102] [180/366] learning_rate: 0.295447 loss_vfl: 0.919911 loss_bbox: 0.324608 loss_dfl: 0.198779 loss: 1.447417 eta: 2 days, 8:07:22 batch_cost: 2.6894 data_cost: 0.0016 ips: 29.7461 images/s [10/14 17:47:08] ppdet.engine INFO: Epoch: [102] [200/366] learning_rate: 0.295346 loss_vfl: 0.937668 loss_bbox: 0.340326 loss_dfl: 0.209061 loss: 1.484570 eta: 2 days, 8:06:25 batch_cost: 2.7812 data_cost: 0.0016 ips: 28.7643 images/s [10/14 17:48:08] ppdet.engine INFO: Epoch: [102] [220/366] learning_rate: 0.295246 loss_vfl: 0.938783 loss_bbox: 0.321659 loss_dfl: 0.193676 loss: 1.463202 eta: 2 days, 8:05:31 batch_cost: 2.8402 data_cost: 0.0016 ips: 28.1673 images/s [10/14 17:49:05] ppdet.engine INFO: Epoch: [102] [240/366] learning_rate: 0.295145 loss_vfl: 0.924089 loss_bbox: 0.311928 loss_dfl: 0.193064 loss: 1.446399 eta: 2 days, 8:04:33 batch_cost: 2.7232 data_cost: 0.0017 ips: 29.3768 images/s [10/14 17:50:02] ppdet.engine INFO: Epoch: [102] [260/366] learning_rate: 0.295044 loss_vfl: 0.939062 loss_bbox: 0.321485 loss_dfl: 0.203212 loss: 1.471967 eta: 2 days, 8:03:33 batch_cost: 2.6907 data_cost: 0.0016 ips: 29.7319 images/s [10/14 17:50:59] ppdet.engine INFO: Epoch: [102] [280/366] learning_rate: 0.294944 loss_vfl: 0.945123 loss_bbox: 0.321397 loss_dfl: 0.198616 loss: 1.466993 eta: 2 days, 8:02:33 batch_cost: 2.6931 data_cost: 0.0016 ips: 29.7053 images/s [10/14 17:51:56] ppdet.engine INFO: Epoch: [102] [300/366] learning_rate: 0.294843 loss_vfl: 0.947971 loss_bbox: 0.311882 loss_dfl: 0.192463 loss: 1.462202 eta: 2 days, 8:01:33 batch_cost: 2.6873 data_cost: 0.0016 ips: 29.7693 images/s [10/14 17:52:53] ppdet.engine INFO: Epoch: [102] [320/366] learning_rate: 0.294742 loss_vfl: 0.927465 loss_bbox: 0.319661 loss_dfl: 0.197687 loss: 1.442673 eta: 2 days, 8:00:34 batch_cost: 2.7142 data_cost: 0.0017 ips: 29.4745 images/s [10/14 17:53:49] ppdet.engine INFO: Epoch: [102] [340/366] learning_rate: 0.294641 loss_vfl: 0.932081 loss_bbox: 0.335941 loss_dfl: 0.197845 loss: 1.441818 eta: 2 days, 7:59:32 batch_cost: 2.6349 data_cost: 0.0016 ips: 30.3618 images/s [10/14 17:54:42] ppdet.engine INFO: Epoch: [102] [360/366] learning_rate: 0.294540 loss_vfl: 0.912298 loss_bbox: 0.326610 loss_dfl: 0.195668 loss: 1.423461 eta: 2 days, 7:58:25 batch_cost: 2.5140 data_cost: 0.0016 ips: 31.8215 images/s [10/14 17:55:21] ppdet.engine INFO: Epoch: [103] [ 0/366] learning_rate: 0.294510 loss_vfl: 0.913169 loss_bbox: 0.331705 loss_dfl: 0.204096 loss: 1.457099 eta: 2 days, 7:58:43 batch_cost: 3.4242 data_cost: 0.6839 ips: 23.3630 images/s [10/14 17:56:20] ppdet.engine INFO: Epoch: [103] [ 20/366] learning_rate: 0.294409 loss_vfl: 0.929410 loss_bbox: 0.323213 loss_dfl: 0.203699 loss: 1.473274 eta: 2 days, 7:57:45 batch_cost: 2.7378 data_cost: 0.0019 ips: 29.2202 images/s [10/14 17:57:17] ppdet.engine INFO: Epoch: [103] [ 40/366] learning_rate: 0.294308 loss_vfl: 0.927556 loss_bbox: 0.326701 loss_dfl: 0.202772 loss: 1.443990 eta: 2 days, 7:56:46 batch_cost: 2.7133 data_cost: 0.0017 ips: 29.4848 images/s [10/14 17:58:14] ppdet.engine INFO: Epoch: [103] [ 60/366] learning_rate: 0.294207 loss_vfl: 0.937177 loss_bbox: 0.319574 loss_dfl: 0.201826 loss: 1.455713 eta: 2 days, 7:55:47 batch_cost: 2.7040 data_cost: 0.0017 ips: 29.5855 images/s [10/14 17:59:13] ppdet.engine INFO: Epoch: [103] [ 80/366] learning_rate: 0.294106 loss_vfl: 0.932101 loss_bbox: 0.322994 loss_dfl: 0.198275 loss: 1.472818 eta: 2 days, 7:54:50 batch_cost: 2.7684 data_cost: 0.0017 ips: 28.8978 images/s [10/14 18:00:11] ppdet.engine INFO: Epoch: [103] [100/366] learning_rate: 0.294005 loss_vfl: 0.913690 loss_bbox: 0.327443 loss_dfl: 0.198400 loss: 1.428837 eta: 2 days, 7:53:54 batch_cost: 2.7786 data_cost: 0.0017 ips: 28.7918 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[103] [200/366] learning_rate: 0.293500 loss_vfl: 0.944308 loss_bbox: 0.313365 loss_dfl: 0.193066 loss: 1.458076 eta: 2 days, 7:48:57 batch_cost: 2.6872 data_cost: 0.0016 ips: 29.7710 images/s [10/14 18:05:54] ppdet.engine INFO: Epoch: [103] [220/366] learning_rate: 0.293399 loss_vfl: 0.927199 loss_bbox: 0.333101 loss_dfl: 0.205124 loss: 1.459278 eta: 2 days, 7:47:59 batch_cost: 2.7216 data_cost: 0.0016 ips: 29.3943 images/s [10/14 18:06:52] ppdet.engine INFO: Epoch: [103] [240/366] learning_rate: 0.293298 loss_vfl: 0.925705 loss_bbox: 0.335361 loss_dfl: 0.196075 loss: 1.465801 eta: 2 days, 7:47:01 batch_cost: 2.7532 data_cost: 0.0018 ips: 29.0566 images/s [10/14 18:07:49] ppdet.engine INFO: Epoch: [103] [260/366] learning_rate: 0.293196 loss_vfl: 0.927836 loss_bbox: 0.329798 loss_dfl: 0.199395 loss: 1.456104 eta: 2 days, 7:46:02 batch_cost: 2.6944 data_cost: 0.0017 ips: 29.6913 images/s [10/14 18:08:45] ppdet.engine INFO: Epoch: [103] [280/366] learning_rate: 0.293095 loss_vfl: 0.925550 loss_bbox: 0.316630 loss_dfl: 0.191271 loss: 1.453163 eta: 2 days, 7:45:00 batch_cost: 2.6478 data_cost: 0.0016 ips: 30.2143 images/s [10/14 18:09:41] ppdet.engine INFO: Epoch: [103] [300/366] learning_rate: 0.292994 loss_vfl: 0.924645 loss_bbox: 0.317535 loss_dfl: 0.199864 loss: 1.451510 eta: 2 days, 7:44:00 batch_cost: 2.6799 data_cost: 0.0016 ips: 29.8513 images/s [10/14 18:10:39] ppdet.engine INFO: Epoch: [103] [320/366] learning_rate: 0.292892 loss_vfl: 0.911845 loss_bbox: 0.322003 loss_dfl: 0.201300 loss: 1.437334 eta: 2 days, 7:43:01 batch_cost: 2.7203 data_cost: 0.0017 ips: 29.4084 images/s [10/14 18:11:34] ppdet.engine INFO: Epoch: [103] [340/366] learning_rate: 0.292791 loss_vfl: 0.932197 loss_bbox: 0.324097 loss_dfl: 0.202524 loss: 1.463320 eta: 2 days, 7:42:00 batch_cost: 2.6413 data_cost: 0.0016 ips: 30.2885 images/s [10/14 18:12:26] ppdet.engine INFO: Epoch: [103] [360/366] learning_rate: 0.292690 loss_vfl: 0.931404 loss_bbox: 0.322753 loss_dfl: 0.198857 loss: 1.445935 eta: 2 days, 7:40:51 batch_cost: 2.4534 data_cost: 0.0016 ips: 32.6075 images/s [10/14 18:13:05] ppdet.engine INFO: Epoch: [104] [ 0/366] learning_rate: 0.292659 loss_vfl: 0.935746 loss_bbox: 0.327486 loss_dfl: 0.201272 loss: 1.462852 eta: 2 days, 7:41:08 batch_cost: 3.4129 data_cost: 0.3864 ips: 23.4402 images/s [10/14 18:14:05] ppdet.engine INFO: Epoch: [104] [ 20/366] learning_rate: 0.292558 loss_vfl: 0.935951 loss_bbox: 0.305370 loss_dfl: 0.189957 loss: 1.436165 eta: 2 days, 7:40:12 batch_cost: 2.8080 data_cost: 0.0018 ips: 28.4904 images/s [10/14 18:15:05] ppdet.engine INFO: Epoch: [104] [ 40/366] learning_rate: 0.292456 loss_vfl: 0.902269 loss_bbox: 0.320623 loss_dfl: 0.200077 loss: 1.431766 eta: 2 days, 7:39:19 batch_cost: 2.8562 data_cost: 0.0016 ips: 28.0091 images/s [10/14 18:16:02] ppdet.engine INFO: Epoch: [104] [ 60/366] learning_rate: 0.292355 loss_vfl: 0.940196 loss_bbox: 0.305435 loss_dfl: 0.195915 loss: 1.455148 eta: 2 days, 7:38:19 batch_cost: 2.6951 data_cost: 0.0016 ips: 29.6832 images/s [10/14 18:17:00] ppdet.engine INFO: Epoch: [104] [ 80/366] learning_rate: 0.292253 loss_vfl: 0.920492 loss_bbox: 0.331989 loss_dfl: 0.210730 loss: 1.480930 eta: 2 days, 7:37:22 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0041 images/s [10/14 18:17:57] ppdet.engine INFO: Epoch: [104] [100/366] learning_rate: 0.292152 loss_vfl: 0.940824 loss_bbox: 0.334689 loss_dfl: 0.200015 loss: 1.462829 eta: 2 days, 7:36:23 batch_cost: 2.7132 data_cost: 0.0017 ips: 29.4851 images/s [10/14 18:18:55] ppdet.engine INFO: Epoch: [104] [120/366] learning_rate: 0.292050 loss_vfl: 0.941107 loss_bbox: 0.324487 loss_dfl: 0.201389 loss: 1.456212 eta: 2 days, 7:35:25 batch_cost: 2.7455 data_cost: 0.0016 ips: 29.1390 images/s [10/14 18:19:54] ppdet.engine INFO: Epoch: [104] [140/366] learning_rate: 0.291948 loss_vfl: 0.925737 loss_bbox: 0.330803 loss_dfl: 0.197265 loss: 1.473633 eta: 2 days, 7:34:28 batch_cost: 2.7678 data_cost: 0.0016 ips: 28.9040 images/s [10/14 18:20:51] ppdet.engine INFO: Epoch: [104] [160/366] learning_rate: 0.291847 loss_vfl: 0.930760 loss_bbox: 0.326352 loss_dfl: 0.200976 loss: 1.454124 eta: 2 days, 7:33:28 batch_cost: 2.6923 data_cost: 0.0017 ips: 29.7144 images/s [10/14 18:21:47] ppdet.engine INFO: Epoch: [104] [180/366] learning_rate: 0.291745 loss_vfl: 0.934034 loss_bbox: 0.319452 loss_dfl: 0.195609 loss: 1.457209 eta: 2 days, 7:32:28 batch_cost: 2.6796 data_cost: 0.0015 ips: 29.8557 images/s [10/14 18:22:44] ppdet.engine INFO: Epoch: [104] [200/366] learning_rate: 0.291643 loss_vfl: 0.922604 loss_bbox: 0.332684 loss_dfl: 0.199626 loss: 1.455291 eta: 2 days, 7:31:30 batch_cost: 2.7286 data_cost: 0.0017 ips: 29.3193 images/s [10/14 18:23:41] ppdet.engine INFO: Epoch: [104] [220/366] learning_rate: 0.291542 loss_vfl: 0.934683 loss_bbox: 0.317658 loss_dfl: 0.195967 loss: 1.468234 eta: 2 days, 7:30:29 batch_cost: 2.6491 data_cost: 0.0017 ips: 30.1993 images/s [10/14 18:24:37] ppdet.engine INFO: Epoch: [104] [240/366] learning_rate: 0.291440 loss_vfl: 0.918039 loss_bbox: 0.322065 loss_dfl: 0.193429 loss: 1.425896 eta: 2 days, 7:29:29 batch_cost: 2.6895 data_cost: 0.0016 ips: 29.7453 images/s [10/14 18:25:34] ppdet.engine INFO: Epoch: [104] [260/366] learning_rate: 0.291338 loss_vfl: 0.932960 loss_bbox: 0.314450 loss_dfl: 0.188913 loss: 1.442566 eta: 2 days, 7:28:29 batch_cost: 2.6850 data_cost: 0.0016 ips: 29.7947 images/s [10/14 18:26:32] ppdet.engine INFO: Epoch: [104] [280/366] learning_rate: 0.291236 loss_vfl: 0.930440 loss_bbox: 0.320307 loss_dfl: 0.196161 loss: 1.449995 eta: 2 days, 7:27:31 batch_cost: 2.7385 data_cost: 0.0022 ips: 29.2135 images/s [10/14 18:27:29] ppdet.engine INFO: Epoch: [104] [300/366] learning_rate: 0.291134 loss_vfl: 0.924397 loss_bbox: 0.332255 loss_dfl: 0.199548 loss: 1.471109 eta: 2 days, 7:26:32 batch_cost: 2.7035 data_cost: 0.0016 ips: 29.5908 images/s [10/14 18:28:25] ppdet.engine INFO: Epoch: [104] [320/366] learning_rate: 0.291033 loss_vfl: 0.923131 loss_bbox: 0.328329 loss_dfl: 0.200296 loss: 1.448813 eta: 2 days, 7:25:31 batch_cost: 2.6770 data_cost: 0.0016 ips: 29.8840 images/s [10/14 18:29:22] ppdet.engine INFO: Epoch: [104] [340/366] learning_rate: 0.290931 loss_vfl: 0.915851 loss_bbox: 0.323903 loss_dfl: 0.198610 loss: 1.446179 eta: 2 days, 7:24:32 batch_cost: 2.7079 data_cost: 0.0016 ips: 29.5428 images/s [10/14 18:30:17] ppdet.engine INFO: Epoch: [104] [360/366] learning_rate: 0.290829 loss_vfl: 0.942127 loss_bbox: 0.332774 loss_dfl: 0.200834 loss: 1.450810 eta: 2 days, 7:23:29 batch_cost: 2.5834 data_cost: 0.0016 ips: 30.9664 images/s [10/14 18:30:55] ppdet.engine INFO: Epoch: [105] [ 0/366] learning_rate: 0.290798 loss_vfl: 0.939024 loss_bbox: 0.342599 loss_dfl: 0.201195 loss: 1.477768 eta: 2 days, 7:23:44 batch_cost: 3.4753 data_cost: 0.2859 ips: 23.0195 images/s [10/14 18:31:56] ppdet.engine INFO: Epoch: [105] [ 20/366] learning_rate: 0.290696 loss_vfl: 0.925121 loss_bbox: 0.317797 loss_dfl: 0.194413 loss: 1.458874 eta: 2 days, 7:22:51 batch_cost: 2.8562 data_cost: 0.0019 ips: 28.0089 images/s [10/14 18:32:52] ppdet.engine INFO: Epoch: [105] [ 40/366] learning_rate: 0.290594 loss_vfl: 0.920961 loss_bbox: 0.308962 loss_dfl: 0.193515 loss: 1.427714 eta: 2 days, 7:21:51 batch_cost: 2.6969 data_cost: 0.0017 ips: 29.6639 images/s [10/14 18:33:50] ppdet.engine INFO: Epoch: [105] [ 60/366] learning_rate: 0.290492 loss_vfl: 0.918364 loss_bbox: 0.318573 loss_dfl: 0.194877 loss: 1.437730 eta: 2 days, 7:20:54 batch_cost: 2.7495 data_cost: 0.0017 ips: 29.0959 images/s [10/14 18:34:48] ppdet.engine INFO: Epoch: [105] [ 80/366] learning_rate: 0.290390 loss_vfl: 0.912769 loss_bbox: 0.336045 loss_dfl: 0.203151 loss: 1.453234 eta: 2 days, 7:19:55 batch_cost: 2.7316 data_cost: 0.0016 ips: 29.2865 images/s [10/14 18:35:44] ppdet.engine INFO: Epoch: [105] [100/366] learning_rate: 0.290288 loss_vfl: 0.937395 loss_bbox: 0.325964 loss_dfl: 0.201803 loss: 1.436006 eta: 2 days, 7:18:55 batch_cost: 2.6715 data_cost: 0.0016 ips: 29.9455 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[105] [200/366] learning_rate: 0.289777 loss_vfl: 0.935877 loss_bbox: 0.317579 loss_dfl: 0.202923 loss: 1.469000 eta: 2 days, 7:14:02 batch_cost: 2.7014 data_cost: 0.0016 ips: 29.6138 images/s [10/14 18:41:28] ppdet.engine INFO: Epoch: [105] [220/366] learning_rate: 0.289675 loss_vfl: 0.924978 loss_bbox: 0.346187 loss_dfl: 0.212276 loss: 1.464713 eta: 2 days, 7:13:02 batch_cost: 2.6984 data_cost: 0.0016 ips: 29.6473 images/s [10/14 18:42:25] ppdet.engine INFO: Epoch: [105] [240/366] learning_rate: 0.289572 loss_vfl: 0.947652 loss_bbox: 0.333901 loss_dfl: 0.202110 loss: 1.486784 eta: 2 days, 7:12:04 batch_cost: 2.7319 data_cost: 0.0017 ips: 29.2839 images/s [10/14 18:43:23] ppdet.engine INFO: Epoch: [105] [260/366] learning_rate: 0.289470 loss_vfl: 0.926065 loss_bbox: 0.336866 loss_dfl: 0.202973 loss: 1.466516 eta: 2 days, 7:11:05 batch_cost: 2.7172 data_cost: 0.0017 ips: 29.4422 images/s [10/14 18:44:19] ppdet.engine INFO: Epoch: [105] [280/366] learning_rate: 0.289368 loss_vfl: 0.929689 loss_bbox: 0.312587 loss_dfl: 0.193239 loss: 1.419719 eta: 2 days, 7:10:05 batch_cost: 2.6829 data_cost: 0.0016 ips: 29.8184 images/s [10/14 18:45:16] ppdet.engine INFO: Epoch: [105] [300/366] learning_rate: 0.289265 loss_vfl: 0.925373 loss_bbox: 0.332378 loss_dfl: 0.198291 loss: 1.464596 eta: 2 days, 7:09:06 batch_cost: 2.6953 data_cost: 0.0017 ips: 29.6813 images/s [10/14 18:46:14] ppdet.engine INFO: Epoch: [105] [320/366] learning_rate: 0.289163 loss_vfl: 0.917324 loss_bbox: 0.320491 loss_dfl: 0.200266 loss: 1.432815 eta: 2 days, 7:08:09 batch_cost: 2.7532 data_cost: 0.0016 ips: 29.0567 images/s [10/14 18:47:10] ppdet.engine INFO: Epoch: [105] [340/366] learning_rate: 0.289060 loss_vfl: 0.925898 loss_bbox: 0.340442 loss_dfl: 0.200671 loss: 1.465230 eta: 2 days, 7:07:08 batch_cost: 2.6602 data_cost: 0.0016 ips: 30.0733 images/s [10/14 18:48:02] ppdet.engine INFO: Epoch: [105] [360/366] learning_rate: 0.288958 loss_vfl: 0.938064 loss_bbox: 0.317493 loss_dfl: 0.193998 loss: 1.441681 eta: 2 days, 7:05:58 batch_cost: 2.4200 data_cost: 0.0019 ips: 33.0573 images/s [10/14 18:48:39] ppdet.engine INFO: Epoch: [106] [ 0/366] learning_rate: 0.288927 loss_vfl: 0.938064 loss_bbox: 0.320100 loss_dfl: 0.193362 loss: 1.438779 eta: 2 days, 7:06:11 batch_cost: 3.2707 data_cost: 0.5605 ips: 24.4594 images/s [10/14 18:49:37] ppdet.engine INFO: Epoch: [106] [ 20/366] learning_rate: 0.288825 loss_vfl: 0.916509 loss_bbox: 0.338079 loss_dfl: 0.200556 loss: 1.453580 eta: 2 days, 7:05:13 batch_cost: 2.7311 data_cost: 0.0022 ips: 29.2917 images/s [10/14 18:50:34] ppdet.engine INFO: Epoch: [106] [ 40/366] learning_rate: 0.288722 loss_vfl: 0.919241 loss_bbox: 0.315938 loss_dfl: 0.201514 loss: 1.444552 eta: 2 days, 7:04:13 batch_cost: 2.6858 data_cost: 0.0019 ips: 29.7864 images/s [10/14 18:51:30] ppdet.engine INFO: Epoch: [106] [ 60/366] learning_rate: 0.288619 loss_vfl: 0.931343 loss_bbox: 0.318931 loss_dfl: 0.207495 loss: 1.467341 eta: 2 days, 7:03:13 batch_cost: 2.6751 data_cost: 0.0016 ips: 29.9057 images/s [10/14 18:52:27] ppdet.engine INFO: Epoch: [106] [ 80/366] learning_rate: 0.288517 loss_vfl: 0.936924 loss_bbox: 0.295996 loss_dfl: 0.194817 loss: 1.438689 eta: 2 days, 7:02:14 batch_cost: 2.7074 data_cost: 0.0017 ips: 29.5483 images/s [10/14 18:53:24] ppdet.engine INFO: Epoch: [106] [100/366] learning_rate: 0.288414 loss_vfl: 0.933921 loss_bbox: 0.330373 loss_dfl: 0.199789 loss: 1.463638 eta: 2 days, 7:01:15 batch_cost: 2.7083 data_cost: 0.0016 ips: 29.5385 images/s [10/14 18:54:21] ppdet.engine INFO: Epoch: [106] [120/366] learning_rate: 0.288311 loss_vfl: 0.926087 loss_bbox: 0.322509 loss_dfl: 0.189054 loss: 1.433976 eta: 2 days, 7:00:15 batch_cost: 2.6885 data_cost: 0.0016 ips: 29.7568 images/s [10/14 18:55:19] ppdet.engine INFO: Epoch: [106] [140/366] learning_rate: 0.288209 loss_vfl: 0.913269 loss_bbox: 0.313416 loss_dfl: 0.187883 loss: 1.432678 eta: 2 days, 6:59:18 batch_cost: 2.7440 data_cost: 0.0016 ips: 29.1543 images/s [10/14 18:56:15] ppdet.engine INFO: Epoch: [106] [160/366] learning_rate: 0.288106 loss_vfl: 0.924019 loss_bbox: 0.339197 loss_dfl: 0.203086 loss: 1.477250 eta: 2 days, 6:58:18 batch_cost: 2.6901 data_cost: 0.0016 ips: 29.7381 images/s [10/14 18:57:12] ppdet.engine INFO: Epoch: [106] [180/366] learning_rate: 0.288003 loss_vfl: 0.916230 loss_bbox: 0.318259 loss_dfl: 0.195466 loss: 1.430229 eta: 2 days, 6:57:19 batch_cost: 2.7033 data_cost: 0.0016 ips: 29.5933 images/s [10/14 18:58:09] ppdet.engine INFO: Epoch: [106] [200/366] learning_rate: 0.287900 loss_vfl: 0.914390 loss_bbox: 0.325437 loss_dfl: 0.192897 loss: 1.438097 eta: 2 days, 6:56:20 batch_cost: 2.7046 data_cost: 0.0016 ips: 29.5793 images/s [10/14 18:59:08] ppdet.engine INFO: Epoch: [106] [220/366] learning_rate: 0.287798 loss_vfl: 0.937571 loss_bbox: 0.337169 loss_dfl: 0.207938 loss: 1.490226 eta: 2 days, 6:55:23 batch_cost: 2.7834 data_cost: 0.0018 ips: 28.7414 images/s [10/14 19:00:06] ppdet.engine INFO: Epoch: [106] [240/366] learning_rate: 0.287695 loss_vfl: 0.924709 loss_bbox: 0.334707 loss_dfl: 0.194048 loss: 1.466305 eta: 2 days, 6:54:26 batch_cost: 2.7455 data_cost: 0.0017 ips: 29.1390 images/s [10/14 19:01:02] ppdet.engine INFO: Epoch: [106] [260/366] learning_rate: 0.287592 loss_vfl: 0.921686 loss_bbox: 0.354695 loss_dfl: 0.209863 loss: 1.480849 eta: 2 days, 6:53:26 batch_cost: 2.6728 data_cost: 0.0016 ips: 29.9307 images/s [10/14 19:01:58] ppdet.engine INFO: Epoch: [106] [280/366] learning_rate: 0.287489 loss_vfl: 0.929914 loss_bbox: 0.327249 loss_dfl: 0.201419 loss: 1.457211 eta: 2 days, 6:52:25 batch_cost: 2.6557 data_cost: 0.0017 ips: 30.1234 images/s [10/14 19:02:55] ppdet.engine INFO: Epoch: [106] [300/366] learning_rate: 0.287386 loss_vfl: 0.920094 loss_bbox: 0.340184 loss_dfl: 0.206367 loss: 1.462117 eta: 2 days, 6:51:26 batch_cost: 2.7053 data_cost: 0.0023 ips: 29.5711 images/s [10/14 19:03:52] ppdet.engine INFO: Epoch: [106] [320/366] learning_rate: 0.287283 loss_vfl: 0.916996 loss_bbox: 0.321457 loss_dfl: 0.196396 loss: 1.437477 eta: 2 days, 6:50:26 batch_cost: 2.6742 data_cost: 0.0017 ips: 29.9154 images/s [10/14 19:04:49] ppdet.engine INFO: Epoch: [106] [340/366] learning_rate: 0.287180 loss_vfl: 0.924069 loss_bbox: 0.318076 loss_dfl: 0.192849 loss: 1.431024 eta: 2 days, 6:49:26 batch_cost: 2.7016 data_cost: 0.0017 ips: 29.6121 images/s [10/14 19:05:42] ppdet.engine INFO: Epoch: [106] [360/366] learning_rate: 0.287077 loss_vfl: 0.938550 loss_bbox: 0.315290 loss_dfl: 0.195667 loss: 1.446658 eta: 2 days, 6:48:19 batch_cost: 2.4722 data_cost: 0.0016 ips: 32.3596 images/s [10/14 19:06:16] ppdet.engine INFO: Epoch: [107] [ 0/366] learning_rate: 0.287046 loss_vfl: 0.934537 loss_bbox: 0.335436 loss_dfl: 0.202470 loss: 1.480339 eta: 2 days, 6:48:25 batch_cost: 3.0846 data_cost: 0.5806 ips: 25.9351 images/s [10/14 19:07:19] ppdet.engine INFO: Epoch: [107] [ 20/366] learning_rate: 0.286943 loss_vfl: 0.927414 loss_bbox: 0.354350 loss_dfl: 0.212069 loss: 1.484824 eta: 2 days, 6:47:37 batch_cost: 3.0134 data_cost: 0.0019 ips: 26.5478 images/s [10/14 19:08:17] ppdet.engine INFO: Epoch: [107] [ 40/366] learning_rate: 0.286840 loss_vfl: 0.914259 loss_bbox: 0.327257 loss_dfl: 0.202894 loss: 1.452822 eta: 2 days, 6:46:39 batch_cost: 2.7174 data_cost: 0.0017 ips: 29.4398 images/s [10/14 19:09:13] ppdet.engine INFO: Epoch: [107] [ 60/366] learning_rate: 0.286737 loss_vfl: 0.939909 loss_bbox: 0.327491 loss_dfl: 0.196935 loss: 1.451624 eta: 2 days, 6:45:39 batch_cost: 2.6815 data_cost: 0.0016 ips: 29.8337 images/s [10/14 19:10:10] ppdet.engine INFO: Epoch: [107] [ 80/366] learning_rate: 0.286634 loss_vfl: 0.916661 loss_bbox: 0.320896 loss_dfl: 0.196317 loss: 1.424710 eta: 2 days, 6:44:39 batch_cost: 2.6910 data_cost: 0.0022 ips: 29.7283 images/s [10/14 19:11:08] ppdet.engine INFO: Epoch: [107] [100/366] learning_rate: 0.286531 loss_vfl: 0.922604 loss_bbox: 0.333545 loss_dfl: 0.202817 loss: 1.464558 eta: 2 days, 6:43:42 batch_cost: 2.7456 data_cost: 0.0016 ips: 29.1376 images/s [10/14 19:12:05] ppdet.engine INFO: Epoch: [107] [120/366] learning_rate: 0.286427 loss_vfl: 0.920002 loss_bbox: 0.320438 loss_dfl: 0.203215 loss: 1.442532 eta: 2 days, 6:42:42 batch_cost: 2.6883 data_cost: 0.0016 ips: 29.7582 images/s [10/14 19:13:04] ppdet.engine INFO: Epoch: [107] [140/366] learning_rate: 0.286324 loss_vfl: 0.938240 loss_bbox: 0.310525 loss_dfl: 0.192177 loss: 1.445957 eta: 2 days, 6:41:46 batch_cost: 2.7839 data_cost: 0.0017 ips: 28.7364 images/s [10/14 19:14:01] ppdet.engine INFO: Epoch: [107] [160/366] learning_rate: 0.286221 loss_vfl: 0.927733 loss_bbox: 0.312444 loss_dfl: 0.191622 loss: 1.440284 eta: 2 days, 6:40:48 batch_cost: 2.7294 data_cost: 0.0016 ips: 29.3106 images/s [10/14 19:14:59] ppdet.engine INFO: Epoch: [107] [180/366] learning_rate: 0.286118 loss_vfl: 0.920182 loss_bbox: 0.340270 loss_dfl: 0.204117 loss: 1.468871 eta: 2 days, 6:39:50 batch_cost: 2.7337 data_cost: 0.0017 ips: 29.2640 images/s [10/14 19:15:56] ppdet.engine INFO: Epoch: [107] [200/366] learning_rate: 0.286014 loss_vfl: 0.920197 loss_bbox: 0.325980 loss_dfl: 0.191046 loss: 1.443794 eta: 2 days, 6:38:52 batch_cost: 2.7267 data_cost: 0.0016 ips: 29.3397 images/s [10/14 19:16:53] ppdet.engine INFO: Epoch: [107] [220/366] learning_rate: 0.285911 loss_vfl: 0.918362 loss_bbox: 0.321997 loss_dfl: 0.193942 loss: 1.457512 eta: 2 days, 6:37:52 batch_cost: 2.6924 data_cost: 0.0017 ips: 29.7131 images/s [10/14 19:17:50] ppdet.engine INFO: Epoch: [107] [240/366] learning_rate: 0.285808 loss_vfl: 0.937685 loss_bbox: 0.331144 loss_dfl: 0.201581 loss: 1.466209 eta: 2 days, 6:36:53 batch_cost: 2.6931 data_cost: 0.0016 ips: 29.7053 images/s [10/14 19:18:46] ppdet.engine INFO: Epoch: [107] [260/366] learning_rate: 0.285704 loss_vfl: 0.920006 loss_bbox: 0.331981 loss_dfl: 0.201782 loss: 1.461521 eta: 2 days, 6:35:53 batch_cost: 2.6737 data_cost: 0.0016 ips: 29.9207 images/s [10/14 19:19:44] ppdet.engine INFO: Epoch: [107] [280/366] learning_rate: 0.285601 loss_vfl: 0.926082 loss_bbox: 0.319807 loss_dfl: 0.192152 loss: 1.438103 eta: 2 days, 6:34:54 batch_cost: 2.7291 data_cost: 0.0017 ips: 29.3133 images/s [10/14 19:20:40] ppdet.engine INFO: Epoch: [107] [300/366] learning_rate: 0.285497 loss_vfl: 0.925100 loss_bbox: 0.332726 loss_dfl: 0.207778 loss: 1.461026 eta: 2 days, 6:33:54 batch_cost: 2.6606 data_cost: 0.0017 ips: 30.0689 images/s [10/14 19:21:37] ppdet.engine INFO: Epoch: [107] [320/366] learning_rate: 0.285394 loss_vfl: 0.930040 loss_bbox: 0.340989 loss_dfl: 0.206534 loss: 1.466701 eta: 2 days, 6:32:54 batch_cost: 2.6864 data_cost: 0.0016 ips: 29.7800 images/s [10/14 19:22:33] ppdet.engine INFO: Epoch: [107] [340/366] learning_rate: 0.285290 loss_vfl: 0.917277 loss_bbox: 0.330901 loss_dfl: 0.197610 loss: 1.420890 eta: 2 days, 6:31:54 batch_cost: 2.6827 data_cost: 0.0030 ips: 29.8206 images/s [10/14 19:23:27] ppdet.engine INFO: Epoch: [107] [360/366] learning_rate: 0.285187 loss_vfl: 0.908363 loss_bbox: 0.318465 loss_dfl: 0.199073 loss: 1.453545 eta: 2 days, 6:30:50 batch_cost: 2.5559 data_cost: 0.0017 ips: 31.3004 images/s [10/14 19:24:05] ppdet.engine INFO: Epoch: [108] [ 0/366] learning_rate: 0.285156 loss_vfl: 0.914347 loss_bbox: 0.334863 loss_dfl: 0.205714 loss: 1.453545 eta: 2 days, 6:31:04 batch_cost: 3.4668 data_cost: 0.4583 ips: 23.0761 images/s [10/14 19:25:04] ppdet.engine INFO: Epoch: [108] [ 20/366] learning_rate: 0.285052 loss_vfl: 0.894285 loss_bbox: 0.319243 loss_dfl: 0.200600 loss: 1.410231 eta: 2 days, 6:30:07 batch_cost: 2.7707 data_cost: 0.0017 ips: 28.8733 images/s [10/14 19:26:01] ppdet.engine INFO: Epoch: [108] [ 40/366] learning_rate: 0.284949 loss_vfl: 0.914994 loss_bbox: 0.329267 loss_dfl: 0.196782 loss: 1.425849 eta: 2 days, 6:29:08 batch_cost: 2.6909 data_cost: 0.0016 ips: 29.7302 images/s [10/14 19:26:58] ppdet.engine INFO: Epoch: [108] [ 60/366] learning_rate: 0.284845 loss_vfl: 0.914500 loss_bbox: 0.344712 loss_dfl: 0.207459 loss: 1.479110 eta: 2 days, 6:28:09 batch_cost: 2.7025 data_cost: 0.0016 ips: 29.6017 images/s [10/14 19:27:55] ppdet.engine INFO: Epoch: [108] [ 80/366] learning_rate: 0.284741 loss_vfl: 0.914723 loss_bbox: 0.333442 loss_dfl: 0.204290 loss: 1.444111 eta: 2 days, 6:27:10 batch_cost: 2.7165 data_cost: 0.0017 ips: 29.4500 images/s [10/14 19:28:54] ppdet.engine INFO: Epoch: [108] [100/366] learning_rate: 0.284638 loss_vfl: 0.929058 loss_bbox: 0.314971 loss_dfl: 0.191290 loss: 1.433078 eta: 2 days, 6:26:14 batch_cost: 2.7803 data_cost: 0.0016 ips: 28.7743 images/s [10/14 19:29:52] ppdet.engine INFO: Epoch: [108] [120/366] learning_rate: 0.284534 loss_vfl: 0.932223 loss_bbox: 0.339716 loss_dfl: 0.208672 loss: 1.470865 eta: 2 days, 6:25:17 batch_cost: 2.7574 data_cost: 0.0017 ips: 29.0133 images/s [10/14 19:30:49] ppdet.engine INFO: Epoch: [108] [140/366] learning_rate: 0.284430 loss_vfl: 0.938537 loss_bbox: 0.312415 loss_dfl: 0.193023 loss: 1.459328 eta: 2 days, 6:24:17 batch_cost: 2.6867 data_cost: 0.0016 ips: 29.7767 images/s [10/14 19:31:45] ppdet.engine INFO: Epoch: [108] [160/366] learning_rate: 0.284327 loss_vfl: 0.917740 loss_bbox: 0.319228 loss_dfl: 0.200441 loss: 1.441247 eta: 2 days, 6:23:18 batch_cost: 2.6859 data_cost: 0.0016 ips: 29.7852 images/s [10/14 19:32:42] ppdet.engine INFO: Epoch: [108] [180/366] learning_rate: 0.284223 loss_vfl: 0.931934 loss_bbox: 0.325721 loss_dfl: 0.200598 loss: 1.467829 eta: 2 days, 6:22:18 batch_cost: 2.6941 data_cost: 0.0016 ips: 29.6947 images/s [10/14 19:33:39] ppdet.engine INFO: Epoch: [108] [200/366] learning_rate: 0.284119 loss_vfl: 0.924340 loss_bbox: 0.336102 loss_dfl: 0.200893 loss: 1.474320 eta: 2 days, 6:21:18 batch_cost: 2.6641 data_cost: 0.0016 ips: 30.0292 images/s [10/14 19:34:35] ppdet.engine INFO: Epoch: [108] [220/366] learning_rate: 0.284015 loss_vfl: 0.919965 loss_bbox: 0.324478 loss_dfl: 0.193339 loss: 1.444495 eta: 2 days, 6:20:19 batch_cost: 2.6985 data_cost: 0.0016 ips: 29.6464 images/s [10/14 19:35:31] ppdet.engine INFO: Epoch: [108] [240/366] learning_rate: 0.283911 loss_vfl: 0.921978 loss_bbox: 0.342928 loss_dfl: 0.206300 loss: 1.463512 eta: 2 days, 6:19:18 batch_cost: 2.6629 data_cost: 0.0016 ips: 30.0420 images/s [10/14 19:36:28] ppdet.engine INFO: Epoch: [108] [260/366] learning_rate: 0.283807 loss_vfl: 0.905695 loss_bbox: 0.345078 loss_dfl: 0.200719 loss: 1.466002 eta: 2 days, 6:18:19 batch_cost: 2.7034 data_cost: 0.0016 ips: 29.5926 images/s [10/14 19:37:26] ppdet.engine INFO: Epoch: [108] [280/366] learning_rate: 0.283703 loss_vfl: 0.932585 loss_bbox: 0.332758 loss_dfl: 0.200125 loss: 1.471575 eta: 2 days, 6:17:22 batch_cost: 2.7357 data_cost: 0.0017 ips: 29.2433 images/s [10/14 19:38:22] ppdet.engine INFO: Epoch: [108] [300/366] learning_rate: 0.283599 loss_vfl: 0.925054 loss_bbox: 0.324660 loss_dfl: 0.194974 loss: 1.444078 eta: 2 days, 6:16:20 batch_cost: 2.6308 data_cost: 0.0016 ips: 30.4093 images/s [10/14 19:39:18] ppdet.engine INFO: Epoch: [108] [320/366] learning_rate: 0.283495 loss_vfl: 0.934495 loss_bbox: 0.326493 loss_dfl: 0.200928 loss: 1.456180 eta: 2 days, 6:15:20 batch_cost: 2.6829 data_cost: 0.0033 ips: 29.8189 images/s [10/14 19:40:16] ppdet.engine INFO: Epoch: [108] [340/366] learning_rate: 0.283391 loss_vfl: 0.914701 loss_bbox: 0.343246 loss_dfl: 0.207267 loss: 1.470212 eta: 2 days, 6:14:23 batch_cost: 2.7469 data_cost: 0.0017 ips: 29.1241 images/s [10/14 19:41:08] ppdet.engine INFO: Epoch: [108] [360/366] learning_rate: 0.283287 loss_vfl: 0.911466 loss_bbox: 0.326111 loss_dfl: 0.201801 loss: 1.445836 eta: 2 days, 6:13:14 batch_cost: 2.4295 data_cost: 0.0015 ips: 32.9290 images/s [10/14 19:41:47] ppdet.engine INFO: Epoch: [109] [ 0/366] learning_rate: 0.283256 loss_vfl: 0.916666 loss_bbox: 0.326091 loss_dfl: 0.196497 loss: 1.443879 eta: 2 days, 6:13:29 batch_cost: 3.3772 data_cost: 0.5863 ips: 23.6881 images/s [10/14 19:42:47] ppdet.engine INFO: Epoch: [109] [ 20/366] learning_rate: 0.283152 loss_vfl: 0.921928 loss_bbox: 0.330620 loss_dfl: 0.199877 loss: 1.445384 eta: 2 days, 6:12:35 batch_cost: 2.8477 data_cost: 0.0021 ips: 28.0931 images/s [10/14 19:43:46] ppdet.engine INFO: Epoch: [109] [ 40/366] learning_rate: 0.283048 loss_vfl: 0.918325 loss_bbox: 0.343237 loss_dfl: 0.203633 loss: 1.474039 eta: 2 days, 6:11:40 batch_cost: 2.7992 data_cost: 0.0019 ips: 28.5801 images/s [10/14 19:44:43] ppdet.engine INFO: Epoch: [109] [ 60/366] learning_rate: 0.282944 loss_vfl: 0.926536 loss_bbox: 0.323992 loss_dfl: 0.196368 loss: 1.451410 eta: 2 days, 6:10:41 batch_cost: 2.6988 data_cost: 0.0017 ips: 29.6428 images/s [10/14 19:45:41] ppdet.engine INFO: Epoch: [109] [ 80/366] learning_rate: 0.282840 loss_vfl: 0.936786 loss_bbox: 0.316974 loss_dfl: 0.198879 loss: 1.446995 eta: 2 days, 6:09:43 batch_cost: 2.7411 data_cost: 0.0017 ips: 29.1849 images/s [10/14 19:46:38] ppdet.engine INFO: Epoch: [109] [100/366] learning_rate: 0.282736 loss_vfl: 0.939257 loss_bbox: 0.323527 loss_dfl: 0.195375 loss: 1.455236 eta: 2 days, 6:08:44 batch_cost: 2.7148 data_cost: 0.0016 ips: 29.4678 images/s [10/14 19:47:35] ppdet.engine INFO: Epoch: [109] [120/366] learning_rate: 0.282631 loss_vfl: 0.915481 loss_bbox: 0.330321 loss_dfl: 0.202345 loss: 1.466889 eta: 2 days, 6:07:45 batch_cost: 2.6975 data_cost: 0.0016 ips: 29.6570 images/s [10/14 19:48:32] ppdet.engine INFO: Epoch: [109] [140/366] learning_rate: 0.282527 loss_vfl: 0.918841 loss_bbox: 0.330772 loss_dfl: 0.202714 loss: 1.452993 eta: 2 days, 6:06:46 batch_cost: 2.7019 data_cost: 0.0017 ips: 29.6089 images/s [10/14 19:49:28] ppdet.engine INFO: Epoch: [109] [160/366] learning_rate: 0.282423 loss_vfl: 0.926490 loss_bbox: 0.322271 loss_dfl: 0.193169 loss: 1.450577 eta: 2 days, 6:05:47 batch_cost: 2.6849 data_cost: 0.0016 ips: 29.7960 images/s [10/14 19:50:25] ppdet.engine INFO: Epoch: [109] [180/366] learning_rate: 0.282319 loss_vfl: 0.920447 loss_bbox: 0.307791 loss_dfl: 0.196874 loss: 1.429821 eta: 2 days, 6:04:47 batch_cost: 2.6790 data_cost: 0.0017 ips: 29.8623 images/s [10/14 19:51:21] ppdet.engine INFO: Epoch: [109] [200/366] learning_rate: 0.282214 loss_vfl: 0.926173 loss_bbox: 0.331281 loss_dfl: 0.196621 loss: 1.448724 eta: 2 days, 6:03:46 batch_cost: 2.6575 data_cost: 0.0016 ips: 30.1033 images/s [10/14 19:52:18] ppdet.engine INFO: Epoch: [109] [220/366] learning_rate: 0.282110 loss_vfl: 0.933227 loss_bbox: 0.336297 loss_dfl: 0.202867 loss: 1.472002 eta: 2 days, 6:02:47 batch_cost: 2.7014 data_cost: 0.0017 ips: 29.6146 images/s [10/14 19:53:15] ppdet.engine INFO: Epoch: [109] [240/366] learning_rate: 0.282005 loss_vfl: 0.922519 loss_bbox: 0.333713 loss_dfl: 0.200651 loss: 1.452426 eta: 2 days, 6:01:49 batch_cost: 2.7198 data_cost: 0.0017 ips: 29.4141 images/s [10/14 19:54:12] ppdet.engine INFO: Epoch: [109] [260/366] learning_rate: 0.281901 loss_vfl: 0.931321 loss_bbox: 0.315288 loss_dfl: 0.196338 loss: 1.445374 eta: 2 days, 6:00:49 batch_cost: 2.6700 data_cost: 0.0021 ips: 29.9621 images/s [10/14 19:55:08] ppdet.engine INFO: Epoch: [109] [280/366] learning_rate: 0.281797 loss_vfl: 0.923978 loss_bbox: 0.329408 loss_dfl: 0.199309 loss: 1.461159 eta: 2 days, 5:59:49 batch_cost: 2.6738 data_cost: 0.0017 ips: 29.9202 images/s [10/14 19:56:04] ppdet.engine INFO: Epoch: [109] [300/366] learning_rate: 0.281692 loss_vfl: 0.929728 loss_bbox: 0.328365 loss_dfl: 0.203652 loss: 1.451940 eta: 2 days, 5:58:48 batch_cost: 2.6390 data_cost: 0.0016 ips: 30.3143 images/s [10/14 19:57:00] ppdet.engine INFO: Epoch: [109] [320/366] learning_rate: 0.281588 loss_vfl: 0.926443 loss_bbox: 0.342159 loss_dfl: 0.203263 loss: 1.471006 eta: 2 days, 5:57:49 batch_cost: 2.6940 data_cost: 0.0016 ips: 29.6959 images/s [10/14 19:57:58] ppdet.engine INFO: Epoch: [109] [340/366] learning_rate: 0.281483 loss_vfl: 0.926838 loss_bbox: 0.329289 loss_dfl: 0.201077 loss: 1.473692 eta: 2 days, 5:56:51 batch_cost: 2.7298 data_cost: 0.0016 ips: 29.3059 images/s [10/14 19:58:49] ppdet.engine INFO: Epoch: [109] [360/366] learning_rate: 0.281379 loss_vfl: 0.923308 loss_bbox: 0.315910 loss_dfl: 0.194468 loss: 1.436479 eta: 2 days, 5:55:41 batch_cost: 2.3958 data_cost: 0.0015 ips: 33.3924 images/s [10/14 19:59:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 19:59:05] ppdet.engine INFO: Eval iter: 0 [10/14 19:59:43] ppdet.engine INFO: Eval iter: 100 [10/14 20:00:07] ppdet.engine INFO: Eval iter: 200 [10/14 20:00:30] ppdet.engine INFO: Eval iter: 300 [10/14 20:00:54] ppdet.engine INFO: Eval iter: 400 [10/14 20:01:17] ppdet.engine INFO: Eval iter: 500 [10/14 20:01:40] ppdet.engine INFO: Eval iter: 600 [10/14 20:02:01] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/14 20:02:02] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.80s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.93s). Accumulating evaluation results... DONE (t=17.20s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.284 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.427 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.297 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.099 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.292 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.471 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.265 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.417 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.180 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.697 [10/14 20:04:05] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.664711510174154 [10/14 20:04:05] ppdet.engine INFO: Best test bbox ap is 0.284. [10/14 20:04:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 20:04:08] ppdet.engine INFO: Epoch: [110] [ 0/366] learning_rate: 0.281347 loss_vfl: 0.920614 loss_bbox: 0.317111 loss_dfl: 0.190831 loss: 1.428970 eta: 2 days, 5:55:19 batch_cost: 2.2948 data_cost: 0.0016 ips: 34.8618 images/s [10/14 20:05:08] ppdet.engine INFO: Epoch: [110] [ 20/366] learning_rate: 0.281243 loss_vfl: 0.932915 loss_bbox: 0.324843 loss_dfl: 0.196536 loss: 1.450962 eta: 2 days, 5:54:26 batch_cost: 2.8744 data_cost: 0.0019 ips: 27.8318 images/s [10/14 20:06:07] ppdet.engine INFO: Epoch: [110] [ 40/366] learning_rate: 0.281138 loss_vfl: 0.925640 loss_bbox: 0.333987 loss_dfl: 0.204784 loss: 1.447864 eta: 2 days, 5:53:29 batch_cost: 2.7726 data_cost: 0.0018 ips: 28.8542 images/s [10/14 20:07:06] ppdet.engine INFO: Epoch: [110] [ 60/366] learning_rate: 0.281034 loss_vfl: 0.918124 loss_bbox: 0.309813 loss_dfl: 0.196097 loss: 1.433988 eta: 2 days, 5:52:34 batch_cost: 2.7965 data_cost: 0.0017 ips: 28.6076 images/s [10/14 20:08:04] ppdet.engine INFO: Epoch: [110] [ 80/366] learning_rate: 0.280929 loss_vfl: 0.932205 loss_bbox: 0.321515 loss_dfl: 0.195960 loss: 1.445572 eta: 2 days, 5:51:37 batch_cost: 2.7534 data_cost: 0.0026 ips: 29.0552 images/s [10/14 20:09:03] ppdet.engine INFO: Epoch: [110] [100/366] learning_rate: 0.280824 loss_vfl: 0.906521 loss_bbox: 0.324249 loss_dfl: 0.206895 loss: 1.451233 eta: 2 days, 5:50:39 batch_cost: 2.7393 data_cost: 0.0016 ips: 29.2046 images/s [10/14 20:10:01] ppdet.engine INFO: Epoch: [110] [120/366] learning_rate: 0.280720 loss_vfl: 0.911339 loss_bbox: 0.322711 loss_dfl: 0.192768 loss: 1.438487 eta: 2 days, 5:49:42 batch_cost: 2.7617 data_cost: 0.0016 ips: 28.9678 images/s [10/14 20:11:00] ppdet.engine INFO: Epoch: [110] [140/366] learning_rate: 0.280615 loss_vfl: 0.925895 loss_bbox: 0.318435 loss_dfl: 0.196350 loss: 1.432555 eta: 2 days, 5:48:48 batch_cost: 2.8377 data_cost: 0.0016 ips: 28.1915 images/s [10/14 20:11:59] ppdet.engine INFO: Epoch: [110] [160/366] learning_rate: 0.280510 loss_vfl: 0.922898 loss_bbox: 0.324520 loss_dfl: 0.196972 loss: 1.440563 eta: 2 days, 5:47:51 batch_cost: 2.7689 data_cost: 0.0016 ips: 28.8928 images/s [10/14 20:12:56] ppdet.engine INFO: Epoch: [110] [180/366] learning_rate: 0.280405 loss_vfl: 0.928943 loss_bbox: 0.341010 loss_dfl: 0.205259 loss: 1.467320 eta: 2 days, 5:46:53 batch_cost: 2.7226 data_cost: 0.0017 ips: 29.3841 images/s [10/14 20:13:56] ppdet.engine INFO: Epoch: [110] [200/366] learning_rate: 0.280300 loss_vfl: 0.925539 loss_bbox: 0.315062 loss_dfl: 0.195206 loss: 1.433820 eta: 2 days, 5:45:57 batch_cost: 2.7803 data_cost: 0.0021 ips: 28.7742 images/s [10/14 20:14:54] ppdet.engine INFO: Epoch: [110] [220/366] learning_rate: 0.280196 loss_vfl: 0.926610 loss_bbox: 0.330328 loss_dfl: 0.198614 loss: 1.456585 eta: 2 days, 5:45:00 batch_cost: 2.7721 data_cost: 0.0023 ips: 28.8589 images/s [10/14 20:15:52] ppdet.engine INFO: Epoch: [110] [240/366] learning_rate: 0.280091 loss_vfl: 0.922556 loss_bbox: 0.330190 loss_dfl: 0.201503 loss: 1.451053 eta: 2 days, 5:44:02 batch_cost: 2.7208 data_cost: 0.0016 ips: 29.4029 images/s [10/14 20:16:49] ppdet.engine INFO: Epoch: [110] [260/366] learning_rate: 0.279986 loss_vfl: 0.922790 loss_bbox: 0.312909 loss_dfl: 0.192648 loss: 1.440243 eta: 2 days, 5:43:04 batch_cost: 2.7322 data_cost: 0.0016 ips: 29.2805 images/s [10/14 20:17:47] ppdet.engine INFO: Epoch: [110] [280/366] learning_rate: 0.279881 loss_vfl: 0.925274 loss_bbox: 0.321744 loss_dfl: 0.195586 loss: 1.448787 eta: 2 days, 5:42:07 batch_cost: 2.7343 data_cost: 0.0016 ips: 29.2581 images/s [10/14 20:18:43] ppdet.engine INFO: Epoch: [110] [300/366] learning_rate: 0.279776 loss_vfl: 0.919808 loss_bbox: 0.340356 loss_dfl: 0.203909 loss: 1.466756 eta: 2 days, 5:41:07 batch_cost: 2.6784 data_cost: 0.0016 ips: 29.8688 images/s [10/14 20:19:39] ppdet.engine INFO: Epoch: [110] [320/366] learning_rate: 0.279671 loss_vfl: 0.931038 loss_bbox: 0.320187 loss_dfl: 0.195622 loss: 1.445786 eta: 2 days, 5:40:06 batch_cost: 2.6574 data_cost: 0.0022 ips: 30.1044 images/s [10/14 20:20:36] ppdet.engine INFO: Epoch: [110] [340/366] learning_rate: 0.279566 loss_vfl: 0.904916 loss_bbox: 0.327960 loss_dfl: 0.197724 loss: 1.438023 eta: 2 days, 5:39:07 batch_cost: 2.6957 data_cost: 0.0016 ips: 29.6765 images/s [10/14 20:21:31] ppdet.engine INFO: Epoch: [110] [360/366] learning_rate: 0.279461 loss_vfl: 0.933931 loss_bbox: 0.315439 loss_dfl: 0.195744 loss: 1.440820 eta: 2 days, 5:38:04 batch_cost: 2.5684 data_cost: 0.0017 ips: 31.1481 images/s [10/14 20:22:07] ppdet.engine INFO: Epoch: [111] [ 0/366] learning_rate: 0.279430 loss_vfl: 0.931994 loss_bbox: 0.315439 loss_dfl: 0.196987 loss: 1.454041 eta: 2 days, 5:38:14 batch_cost: 3.3881 data_cost: 0.3236 ips: 23.6123 images/s [10/14 20:23:09] ppdet.engine INFO: Epoch: [111] [ 20/366] learning_rate: 0.279325 loss_vfl: 0.916391 loss_bbox: 0.318972 loss_dfl: 0.193065 loss: 1.439221 eta: 2 days, 5:37:23 batch_cost: 2.9294 data_cost: 0.0021 ips: 27.3089 images/s [10/14 20:24:09] ppdet.engine INFO: Epoch: [111] [ 40/366] learning_rate: 0.279219 loss_vfl: 0.935797 loss_bbox: 0.338400 loss_dfl: 0.206096 loss: 1.476262 eta: 2 days, 5:36:28 batch_cost: 2.8324 data_cost: 0.0018 ips: 28.2442 images/s [10/14 20:25:07] ppdet.engine INFO: Epoch: [111] [ 60/366] learning_rate: 0.279114 loss_vfl: 0.905171 loss_bbox: 0.329484 loss_dfl: 0.196684 loss: 1.426764 eta: 2 days, 5:35:32 batch_cost: 2.7675 data_cost: 0.0017 ips: 28.9073 images/s [10/14 20:26:07] ppdet.engine INFO: Epoch: [111] [ 80/366] learning_rate: 0.279009 loss_vfl: 0.934423 loss_bbox: 0.335865 loss_dfl: 0.205030 loss: 1.467914 eta: 2 days, 5:34:37 batch_cost: 2.8237 data_cost: 0.0019 ips: 28.3315 images/s [10/14 20:27:05] ppdet.engine INFO: Epoch: [111] [100/366] learning_rate: 0.278904 loss_vfl: 0.912984 loss_bbox: 0.338518 loss_dfl: 0.205465 loss: 1.445580 eta: 2 days, 5:33:41 batch_cost: 2.7802 data_cost: 0.0016 ips: 28.7750 images/s [10/14 20:28:04] ppdet.engine INFO: Epoch: [111] [120/366] learning_rate: 0.278799 loss_vfl: 0.927935 loss_bbox: 0.346967 loss_dfl: 0.205897 loss: 1.492418 eta: 2 days, 5:32:45 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6356 images/s [10/14 20:29:01] ppdet.engine INFO: Epoch: [111] [140/366] learning_rate: 0.278694 loss_vfl: 0.926237 loss_bbox: 0.323578 loss_dfl: 0.199338 loss: 1.449986 eta: 2 days, 5:31:46 batch_cost: 2.7020 data_cost: 0.0017 ips: 29.6073 images/s [10/14 20:30:00] ppdet.engine INFO: Epoch: [111] [160/366] learning_rate: 0.278588 loss_vfl: 0.908802 loss_bbox: 0.316717 loss_dfl: 0.199782 loss: 1.435279 eta: 2 days, 5:30:50 batch_cost: 2.7937 data_cost: 0.0024 ips: 28.6361 images/s [10/14 20:30:59] ppdet.engine INFO: Epoch: [111] [180/366] learning_rate: 0.278483 loss_vfl: 0.938491 loss_bbox: 0.317359 loss_dfl: 0.201624 loss: 1.458204 eta: 2 days, 5:29:54 batch_cost: 2.7871 data_cost: 0.0020 ips: 28.7033 images/s [10/14 20:31:56] ppdet.engine INFO: Epoch: [111] [200/366] learning_rate: 0.278378 loss_vfl: 0.944540 loss_bbox: 0.323884 loss_dfl: 0.199167 loss: 1.459827 eta: 2 days, 5:28:55 batch_cost: 2.7017 data_cost: 0.0017 ips: 29.6108 images/s [10/14 20:32:54] ppdet.engine INFO: Epoch: [111] [220/366] learning_rate: 0.278273 loss_vfl: 0.926761 loss_bbox: 0.333303 loss_dfl: 0.202375 loss: 1.459945 eta: 2 days, 5:27:59 batch_cost: 2.7868 data_cost: 0.0017 ips: 28.7064 images/s [10/14 20:33:53] ppdet.engine INFO: Epoch: [111] [240/366] learning_rate: 0.278167 loss_vfl: 0.923891 loss_bbox: 0.329559 loss_dfl: 0.203855 loss: 1.436471 eta: 2 days, 5:27:03 batch_cost: 2.7780 data_cost: 0.0023 ips: 28.7980 images/s [10/14 20:34:51] ppdet.engine INFO: Epoch: [111] [260/366] learning_rate: 0.278062 loss_vfl: 0.922646 loss_bbox: 0.332994 loss_dfl: 0.201511 loss: 1.451940 eta: 2 days, 5:26:07 batch_cost: 2.7843 data_cost: 0.0016 ips: 28.7329 images/s [10/14 20:35:50] ppdet.engine INFO: Epoch: [111] [280/366] learning_rate: 0.277957 loss_vfl: 0.907819 loss_bbox: 0.328398 loss_dfl: 0.201278 loss: 1.444447 eta: 2 days, 5:25:11 batch_cost: 2.7901 data_cost: 0.0016 ips: 28.6732 images/s [10/14 20:36:50] ppdet.engine INFO: Epoch: [111] [300/366] learning_rate: 0.277851 loss_vfl: 0.924609 loss_bbox: 0.317372 loss_dfl: 0.192815 loss: 1.449527 eta: 2 days, 5:24:16 batch_cost: 2.8247 data_cost: 0.0016 ips: 28.3219 images/s [10/14 20:37:49] ppdet.engine INFO: Epoch: [111] [320/366] learning_rate: 0.277746 loss_vfl: 0.901394 loss_bbox: 0.336114 loss_dfl: 0.206796 loss: 1.441239 eta: 2 days, 5:23:21 batch_cost: 2.8148 data_cost: 0.0021 ips: 28.4208 images/s [10/14 20:38:46] ppdet.engine INFO: Epoch: [111] [340/366] learning_rate: 0.277640 loss_vfl: 0.944436 loss_bbox: 0.326690 loss_dfl: 0.196346 loss: 1.472312 eta: 2 days, 5:22:23 batch_cost: 2.7031 data_cost: 0.0017 ips: 29.5959 images/s [10/14 20:39:39] ppdet.engine INFO: Epoch: [111] [360/366] learning_rate: 0.277535 loss_vfl: 0.927966 loss_bbox: 0.318299 loss_dfl: 0.195700 loss: 1.438496 eta: 2 days, 5:21:18 batch_cost: 2.5191 data_cost: 0.0018 ips: 31.7571 images/s [10/14 20:40:15] ppdet.engine INFO: Epoch: [112] [ 0/366] learning_rate: 0.277503 loss_vfl: 0.930354 loss_bbox: 0.315913 loss_dfl: 0.193136 loss: 1.433131 eta: 2 days, 5:21:26 batch_cost: 3.2565 data_cost: 0.3387 ips: 24.5664 images/s [10/14 20:41:16] ppdet.engine INFO: Epoch: [112] [ 20/366] learning_rate: 0.277398 loss_vfl: 0.937954 loss_bbox: 0.325775 loss_dfl: 0.202817 loss: 1.454335 eta: 2 days, 5:20:32 batch_cost: 2.8625 data_cost: 0.0017 ips: 27.9481 images/s [10/14 20:42:15] ppdet.engine INFO: Epoch: [112] [ 40/366] learning_rate: 0.277292 loss_vfl: 0.928450 loss_bbox: 0.321343 loss_dfl: 0.196523 loss: 1.432585 eta: 2 days, 5:19:36 batch_cost: 2.7868 data_cost: 0.0017 ips: 28.7066 images/s [10/14 20:43:15] ppdet.engine INFO: Epoch: [112] [ 60/366] learning_rate: 0.277186 loss_vfl: 0.913980 loss_bbox: 0.316046 loss_dfl: 0.197194 loss: 1.439760 eta: 2 days, 5:18:42 batch_cost: 2.8420 data_cost: 0.0017 ips: 28.1487 images/s [10/14 20:44:14] ppdet.engine INFO: Epoch: [112] [ 80/366] learning_rate: 0.277081 loss_vfl: 0.925883 loss_bbox: 0.306783 loss_dfl: 0.186584 loss: 1.432880 eta: 2 days, 5:17:46 batch_cost: 2.7907 data_cost: 0.0016 ips: 28.6668 images/s [10/14 20:45:13] ppdet.engine INFO: Epoch: [112] [100/366] learning_rate: 0.276975 loss_vfl: 0.907458 loss_bbox: 0.323916 loss_dfl: 0.195786 loss: 1.429559 eta: 2 days, 5:16:51 batch_cost: 2.8277 data_cost: 0.0016 ips: 28.2913 images/s [10/14 20:46:12] ppdet.engine INFO: Epoch: [112] [120/366] learning_rate: 0.276870 loss_vfl: 0.941584 loss_bbox: 0.333071 loss_dfl: 0.199025 loss: 1.466635 eta: 2 days, 5:15:56 batch_cost: 2.7934 data_cost: 0.0016 ips: 28.6393 images/s [10/14 20:47:12] ppdet.engine INFO: Epoch: [112] [140/366] learning_rate: 0.276764 loss_vfl: 0.926537 loss_bbox: 0.311881 loss_dfl: 0.193525 loss: 1.420798 eta: 2 days, 5:15:01 batch_cost: 2.8305 data_cost: 0.0016 ips: 28.2634 images/s [10/14 20:48:13] ppdet.engine INFO: Epoch: [112] [160/366] learning_rate: 0.276658 loss_vfl: 0.912958 loss_bbox: 0.314144 loss_dfl: 0.199255 loss: 1.428484 eta: 2 days, 5:14:08 batch_cost: 2.8809 data_cost: 0.0016 ips: 27.7692 images/s [10/14 20:49:13] ppdet.engine INFO: Epoch: [112] [180/366] learning_rate: 0.276553 loss_vfl: 0.902914 loss_bbox: 0.318770 loss_dfl: 0.190181 loss: 1.416706 eta: 2 days, 5:13:15 batch_cost: 2.8651 data_cost: 0.0016 ips: 27.9227 images/s [10/14 20:50:12] ppdet.engine INFO: Epoch: [112] [200/366] learning_rate: 0.276447 loss_vfl: 0.931249 loss_bbox: 0.333340 loss_dfl: 0.209814 loss: 1.458030 eta: 2 days, 5:12:19 batch_cost: 2.7881 data_cost: 0.0017 ips: 28.6931 images/s [10/14 20:51:11] ppdet.engine INFO: Epoch: [112] [220/366] learning_rate: 0.276341 loss_vfl: 0.927264 loss_bbox: 0.327216 loss_dfl: 0.200808 loss: 1.457238 eta: 2 days, 5:11:23 batch_cost: 2.7972 data_cost: 0.0016 ips: 28.6005 images/s [10/14 20:52:10] ppdet.engine INFO: Epoch: [112] [240/366] learning_rate: 0.276235 loss_vfl: 0.912895 loss_bbox: 0.305023 loss_dfl: 0.189509 loss: 1.417593 eta: 2 days, 5:10:28 batch_cost: 2.7972 data_cost: 0.0019 ips: 28.6000 images/s [10/14 20:53:08] ppdet.engine INFO: Epoch: [112] [260/366] learning_rate: 0.276129 loss_vfl: 0.940696 loss_bbox: 0.319896 loss_dfl: 0.191941 loss: 1.446870 eta: 2 days, 5:09:31 batch_cost: 2.7679 data_cost: 0.0016 ips: 28.9028 images/s [10/14 20:54:07] ppdet.engine INFO: Epoch: [112] [280/366] learning_rate: 0.276024 loss_vfl: 0.926467 loss_bbox: 0.321560 loss_dfl: 0.197377 loss: 1.444800 eta: 2 days, 5:08:34 batch_cost: 2.7574 data_cost: 0.0017 ips: 29.0128 images/s [10/14 20:55:05] ppdet.engine INFO: Epoch: [112] [300/366] learning_rate: 0.275918 loss_vfl: 0.928554 loss_bbox: 0.323558 loss_dfl: 0.198283 loss: 1.451390 eta: 2 days, 5:07:38 batch_cost: 2.7985 data_cost: 0.0016 ips: 28.5867 images/s [10/14 20:56:04] ppdet.engine INFO: Epoch: [112] [320/366] learning_rate: 0.275812 loss_vfl: 0.922737 loss_bbox: 0.318866 loss_dfl: 0.205314 loss: 1.457292 eta: 2 days, 5:06:41 batch_cost: 2.7594 data_cost: 0.0016 ips: 28.9916 images/s [10/14 20:57:02] ppdet.engine INFO: Epoch: [112] [340/366] learning_rate: 0.275706 loss_vfl: 0.922061 loss_bbox: 0.311081 loss_dfl: 0.192706 loss: 1.431086 eta: 2 days, 5:05:45 batch_cost: 2.7609 data_cost: 0.0017 ips: 28.9755 images/s [10/14 20:57:56] ppdet.engine INFO: Epoch: [112] [360/366] learning_rate: 0.275600 loss_vfl: 0.927516 loss_bbox: 0.322068 loss_dfl: 0.195751 loss: 1.448324 eta: 2 days, 5:04:41 batch_cost: 2.5505 data_cost: 0.0016 ips: 31.3666 images/s [10/14 20:58:29] ppdet.engine INFO: Epoch: [113] [ 0/366] learning_rate: 0.275568 loss_vfl: 0.931225 loss_bbox: 0.320365 loss_dfl: 0.196204 loss: 1.445398 eta: 2 days, 5:04:45 batch_cost: 3.1975 data_cost: 0.2098 ips: 25.0199 images/s [10/14 20:59:32] ppdet.engine INFO: Epoch: [113] [ 20/366] learning_rate: 0.275462 loss_vfl: 0.926858 loss_bbox: 0.335524 loss_dfl: 0.202315 loss: 1.453280 eta: 2 days, 5:03:55 batch_cost: 2.9625 data_cost: 0.0016 ips: 27.0039 images/s [10/14 21:00:30] ppdet.engine INFO: Epoch: [113] [ 40/366] learning_rate: 0.275356 loss_vfl: 0.926012 loss_bbox: 0.321154 loss_dfl: 0.198915 loss: 1.450135 eta: 2 days, 5:02:59 batch_cost: 2.7914 data_cost: 0.0016 ips: 28.6593 images/s [10/14 21:01:28] ppdet.engine INFO: Epoch: [113] [ 60/366] learning_rate: 0.275250 loss_vfl: 0.917758 loss_bbox: 0.330687 loss_dfl: 0.200709 loss: 1.434882 eta: 2 days, 5:02:01 batch_cost: 2.7253 data_cost: 0.0025 ips: 29.3548 images/s [10/14 21:02:25] ppdet.engine INFO: Epoch: [113] [ 80/366] learning_rate: 0.275144 loss_vfl: 0.914822 loss_bbox: 0.323596 loss_dfl: 0.199309 loss: 1.432095 eta: 2 days, 5:01:03 batch_cost: 2.7311 data_cost: 0.0020 ips: 29.2921 images/s [10/14 21:03:22] ppdet.engine INFO: Epoch: [113] [100/366] learning_rate: 0.275038 loss_vfl: 0.921140 loss_bbox: 0.320526 loss_dfl: 0.197493 loss: 1.434415 eta: 2 days, 5:00:03 batch_cost: 2.6853 data_cost: 0.0016 ips: 29.7916 images/s [10/14 21:04:20] ppdet.engine INFO: Epoch: [113] [120/366] learning_rate: 0.274932 loss_vfl: 0.938035 loss_bbox: 0.309131 loss_dfl: 0.194612 loss: 1.450137 eta: 2 days, 4:59:06 batch_cost: 2.7435 data_cost: 0.0016 ips: 29.1603 images/s [10/14 21:05:18] ppdet.engine INFO: Epoch: [113] [140/366] learning_rate: 0.274826 loss_vfl: 0.911779 loss_bbox: 0.327723 loss_dfl: 0.202138 loss: 1.422013 eta: 2 days, 4:58:09 batch_cost: 2.7547 data_cost: 0.0016 ips: 29.0409 images/s [10/14 21:06:17] ppdet.engine INFO: Epoch: [113] [160/366] learning_rate: 0.274720 loss_vfl: 0.936923 loss_bbox: 0.329188 loss_dfl: 0.202662 loss: 1.471963 eta: 2 days, 4:57:12 batch_cost: 2.7735 data_cost: 0.0017 ips: 28.8442 images/s [10/14 21:07:14] ppdet.engine INFO: Epoch: [113] [180/366] learning_rate: 0.274613 loss_vfl: 0.914072 loss_bbox: 0.317422 loss_dfl: 0.190292 loss: 1.458551 eta: 2 days, 4:56:15 batch_cost: 2.7337 data_cost: 0.0017 ips: 29.2646 images/s [10/14 21:08:12] ppdet.engine INFO: Epoch: [113] [200/366] learning_rate: 0.274507 loss_vfl: 0.906534 loss_bbox: 0.336179 loss_dfl: 0.197980 loss: 1.420718 eta: 2 days, 4:55:17 batch_cost: 2.7207 data_cost: 0.0016 ips: 29.4039 images/s [10/14 21:09:10] ppdet.engine INFO: Epoch: [113] [220/366] learning_rate: 0.274401 loss_vfl: 0.916216 loss_bbox: 0.328686 loss_dfl: 0.203651 loss: 1.457762 eta: 2 days, 4:54:21 batch_cost: 2.7874 data_cost: 0.0017 ips: 28.7002 images/s [10/14 21:10:09] ppdet.engine INFO: Epoch: [113] [240/366] learning_rate: 0.274295 loss_vfl: 0.909261 loss_bbox: 0.343066 loss_dfl: 0.205406 loss: 1.460611 eta: 2 days, 4:53:25 batch_cost: 2.8019 data_cost: 0.0016 ips: 28.5523 images/s [10/14 21:11:08] ppdet.engine INFO: Epoch: [113] [260/366] learning_rate: 0.274189 loss_vfl: 0.921342 loss_bbox: 0.332972 loss_dfl: 0.200883 loss: 1.451742 eta: 2 days, 4:52:29 batch_cost: 2.7718 data_cost: 0.0016 ips: 28.8619 images/s [10/14 21:12:07] ppdet.engine INFO: Epoch: [113] [280/366] learning_rate: 0.274082 loss_vfl: 0.928352 loss_bbox: 0.339014 loss_dfl: 0.204138 loss: 1.476812 eta: 2 days, 4:51:33 batch_cost: 2.7964 data_cost: 0.0016 ips: 28.6079 images/s [10/14 21:13:06] ppdet.engine INFO: Epoch: [113] [300/366] learning_rate: 0.273976 loss_vfl: 0.926776 loss_bbox: 0.319437 loss_dfl: 0.198237 loss: 1.451576 eta: 2 days, 4:50:38 batch_cost: 2.8207 data_cost: 0.0017 ips: 28.3616 images/s [10/14 21:14:05] ppdet.engine INFO: Epoch: [113] [320/366] learning_rate: 0.273870 loss_vfl: 0.911036 loss_bbox: 0.327443 loss_dfl: 0.198405 loss: 1.440528 eta: 2 days, 4:49:43 batch_cost: 2.8124 data_cost: 0.0017 ips: 28.4452 images/s [10/14 21:15:05] ppdet.engine INFO: Epoch: [113] [340/366] learning_rate: 0.273763 loss_vfl: 0.933115 loss_bbox: 0.343467 loss_dfl: 0.201658 loss: 1.484340 eta: 2 days, 4:48:48 batch_cost: 2.8255 data_cost: 0.0017 ips: 28.3132 images/s [10/14 21:16:01] ppdet.engine INFO: Epoch: [113] [360/366] learning_rate: 0.273657 loss_vfl: 0.919968 loss_bbox: 0.327514 loss_dfl: 0.199301 loss: 1.459008 eta: 2 days, 4:47:48 batch_cost: 2.6493 data_cost: 0.0016 ips: 30.1972 images/s [10/14 21:16:38] ppdet.engine INFO: Epoch: [114] [ 0/366] learning_rate: 0.273625 loss_vfl: 0.930226 loss_bbox: 0.312874 loss_dfl: 0.191034 loss: 1.439247 eta: 2 days, 4:47:57 batch_cost: 3.4145 data_cost: 0.5796 ips: 23.4297 images/s [10/14 21:17:38] ppdet.engine INFO: Epoch: [114] [ 20/366] learning_rate: 0.273518 loss_vfl: 0.912874 loss_bbox: 0.302519 loss_dfl: 0.192367 loss: 1.429042 eta: 2 days, 4:47:01 batch_cost: 2.8076 data_cost: 0.0016 ips: 28.4944 images/s [10/14 21:18:36] ppdet.engine INFO: Epoch: [114] [ 40/366] learning_rate: 0.273412 loss_vfl: 0.907335 loss_bbox: 0.313334 loss_dfl: 0.192125 loss: 1.410219 eta: 2 days, 4:46:05 batch_cost: 2.7728 data_cost: 0.0017 ips: 28.8519 images/s [10/14 21:19:34] ppdet.engine INFO: Epoch: [114] [ 60/366] learning_rate: 0.273306 loss_vfl: 0.918063 loss_bbox: 0.327667 loss_dfl: 0.195432 loss: 1.442287 eta: 2 days, 4:45:07 batch_cost: 2.7307 data_cost: 0.0017 ips: 29.2970 images/s [10/14 21:20:34] ppdet.engine INFO: Epoch: [114] [ 80/366] learning_rate: 0.273199 loss_vfl: 0.931364 loss_bbox: 0.317139 loss_dfl: 0.203289 loss: 1.447028 eta: 2 days, 4:44:14 batch_cost: 2.8649 data_cost: 0.0017 ips: 27.9244 images/s [10/14 21:21:33] ppdet.engine INFO: Epoch: [114] [100/366] learning_rate: 0.273093 loss_vfl: 0.923074 loss_bbox: 0.319364 loss_dfl: 0.201961 loss: 1.443583 eta: 2 days, 4:43:18 batch_cost: 2.7945 data_cost: 0.0016 ips: 28.6279 images/s [10/14 21:22:33] ppdet.engine INFO: Epoch: [114] [120/366] learning_rate: 0.272986 loss_vfl: 0.914400 loss_bbox: 0.339367 loss_dfl: 0.206478 loss: 1.463244 eta: 2 days, 4:42:24 batch_cost: 2.8621 data_cost: 0.0016 ips: 27.9512 images/s [10/14 21:23:33] ppdet.engine INFO: Epoch: [114] [140/366] learning_rate: 0.272879 loss_vfl: 0.922234 loss_bbox: 0.317268 loss_dfl: 0.197617 loss: 1.443922 eta: 2 days, 4:41:30 batch_cost: 2.8425 data_cost: 0.0017 ips: 28.1444 images/s [10/14 21:24:31] ppdet.engine INFO: Epoch: [114] [160/366] learning_rate: 0.272773 loss_vfl: 0.922735 loss_bbox: 0.322465 loss_dfl: 0.193439 loss: 1.467156 eta: 2 days, 4:40:34 batch_cost: 2.7820 data_cost: 0.0017 ips: 28.7558 images/s [10/14 21:25:30] ppdet.engine INFO: Epoch: [114] [180/366] learning_rate: 0.272666 loss_vfl: 0.918624 loss_bbox: 0.321058 loss_dfl: 0.191236 loss: 1.424543 eta: 2 days, 4:39:38 batch_cost: 2.7894 data_cost: 0.0016 ips: 28.6802 images/s [10/14 21:26:28] ppdet.engine INFO: Epoch: [114] [200/366] learning_rate: 0.272560 loss_vfl: 0.921993 loss_bbox: 0.324430 loss_dfl: 0.197840 loss: 1.436466 eta: 2 days, 4:38:42 batch_cost: 2.7755 data_cost: 0.0017 ips: 28.8239 images/s [10/14 21:27:28] ppdet.engine INFO: Epoch: [114] [220/366] learning_rate: 0.272453 loss_vfl: 0.936098 loss_bbox: 0.314539 loss_dfl: 0.195469 loss: 1.445173 eta: 2 days, 4:37:47 batch_cost: 2.8229 data_cost: 0.0023 ips: 28.3392 images/s [10/14 21:28:29] ppdet.engine INFO: Epoch: [114] [240/366] learning_rate: 0.272346 loss_vfl: 0.917192 loss_bbox: 0.322203 loss_dfl: 0.196343 loss: 1.438949 eta: 2 days, 4:36:54 batch_cost: 2.8971 data_cost: 0.0017 ips: 27.6142 images/s [10/14 21:29:28] ppdet.engine INFO: Epoch: [114] [260/366] learning_rate: 0.272240 loss_vfl: 0.925443 loss_bbox: 0.325022 loss_dfl: 0.198491 loss: 1.451586 eta: 2 days, 4:35:59 batch_cost: 2.8086 data_cost: 0.0017 ips: 28.4839 images/s [10/14 21:30:27] ppdet.engine INFO: Epoch: [114] [280/366] learning_rate: 0.272133 loss_vfl: 0.912490 loss_bbox: 0.329420 loss_dfl: 0.200179 loss: 1.428582 eta: 2 days, 4:35:02 batch_cost: 2.7664 data_cost: 0.0016 ips: 28.9183 images/s [10/14 21:31:26] ppdet.engine INFO: Epoch: [114] [300/366] learning_rate: 0.272026 loss_vfl: 0.906679 loss_bbox: 0.317612 loss_dfl: 0.193681 loss: 1.427836 eta: 2 days, 4:34:08 batch_cost: 2.8237 data_cost: 0.0017 ips: 28.3314 images/s [10/14 21:32:26] ppdet.engine INFO: Epoch: [114] [320/366] learning_rate: 0.271919 loss_vfl: 0.911501 loss_bbox: 0.327117 loss_dfl: 0.199047 loss: 1.441204 eta: 2 days, 4:33:12 batch_cost: 2.8168 data_cost: 0.0017 ips: 28.4010 images/s [10/14 21:33:25] ppdet.engine INFO: Epoch: [114] [340/366] learning_rate: 0.271812 loss_vfl: 0.927019 loss_bbox: 0.335123 loss_dfl: 0.198993 loss: 1.452414 eta: 2 days, 4:32:17 batch_cost: 2.8096 data_cost: 0.0017 ips: 28.4742 images/s [10/14 21:34:19] ppdet.engine INFO: Epoch: [114] [360/366] learning_rate: 0.271706 loss_vfl: 0.916051 loss_bbox: 0.331641 loss_dfl: 0.197021 loss: 1.450414 eta: 2 days, 4:31:14 batch_cost: 2.5550 data_cost: 0.0016 ips: 31.3108 images/s [10/14 21:34:57] ppdet.engine INFO: Epoch: [115] [ 0/366] learning_rate: 0.271674 loss_vfl: 0.917773 loss_bbox: 0.325834 loss_dfl: 0.200333 loss: 1.445996 eta: 2 days, 4:31:24 batch_cost: 3.4030 data_cost: 0.2790 ips: 23.5090 images/s [10/14 21:35:56] ppdet.engine INFO: Epoch: [115] [ 20/366] learning_rate: 0.271567 loss_vfl: 0.921032 loss_bbox: 0.339519 loss_dfl: 0.196773 loss: 1.452078 eta: 2 days, 4:30:28 batch_cost: 2.7976 data_cost: 0.0017 ips: 28.5961 images/s [10/14 21:36:55] ppdet.engine INFO: Epoch: [115] [ 40/366] learning_rate: 0.271460 loss_vfl: 0.914220 loss_bbox: 0.302389 loss_dfl: 0.188463 loss: 1.408601 eta: 2 days, 4:29:33 batch_cost: 2.8139 data_cost: 0.0017 ips: 28.4306 images/s [10/14 21:37:54] ppdet.engine INFO: Epoch: [115] [ 60/366] learning_rate: 0.271353 loss_vfl: 0.923957 loss_bbox: 0.322810 loss_dfl: 0.197413 loss: 1.446094 eta: 2 days, 4:28:37 batch_cost: 2.7673 data_cost: 0.0016 ips: 28.9094 images/s [10/14 21:38:53] ppdet.engine INFO: Epoch: [115] [ 80/366] learning_rate: 0.271246 loss_vfl: 0.917185 loss_bbox: 0.318891 loss_dfl: 0.195109 loss: 1.419444 eta: 2 days, 4:27:41 batch_cost: 2.8085 data_cost: 0.0017 ips: 28.4851 images/s [10/14 21:39:52] ppdet.engine INFO: Epoch: [115] [100/366] learning_rate: 0.271139 loss_vfl: 0.917647 loss_bbox: 0.312535 loss_dfl: 0.192284 loss: 1.439584 eta: 2 days, 4:26:45 batch_cost: 2.7859 data_cost: 0.0016 ips: 28.7160 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[115] [200/366] learning_rate: 0.270604 loss_vfl: 0.913784 loss_bbox: 0.327671 loss_dfl: 0.195252 loss: 1.444388 eta: 2 days, 4:22:08 batch_cost: 2.7606 data_cost: 0.0018 ips: 28.9795 images/s [10/14 21:45:47] ppdet.engine INFO: Epoch: [115] [220/366] learning_rate: 0.270497 loss_vfl: 0.927146 loss_bbox: 0.322979 loss_dfl: 0.197221 loss: 1.427564 eta: 2 days, 4:21:13 batch_cost: 2.8350 data_cost: 0.0017 ips: 28.2183 images/s [10/14 21:46:47] ppdet.engine INFO: Epoch: [115] [240/366] learning_rate: 0.270390 loss_vfl: 0.921307 loss_bbox: 0.320584 loss_dfl: 0.198020 loss: 1.439489 eta: 2 days, 4:20:19 batch_cost: 2.8352 data_cost: 0.0019 ips: 28.2168 images/s [10/14 21:47:46] ppdet.engine INFO: Epoch: [115] [260/366] learning_rate: 0.270283 loss_vfl: 0.924111 loss_bbox: 0.332411 loss_dfl: 0.199525 loss: 1.458460 eta: 2 days, 4:19:23 batch_cost: 2.7849 data_cost: 0.0029 ips: 28.7267 images/s [10/14 21:48:45] ppdet.engine INFO: Epoch: [115] [280/366] learning_rate: 0.270175 loss_vfl: 0.941028 loss_bbox: 0.314892 loss_dfl: 0.199372 loss: 1.480811 eta: 2 days, 4:18:27 batch_cost: 2.7966 data_cost: 0.0016 ips: 28.6059 images/s [10/14 21:49:45] ppdet.engine INFO: Epoch: [115] [300/366] learning_rate: 0.270068 loss_vfl: 0.930494 loss_bbox: 0.323970 loss_dfl: 0.194181 loss: 1.457997 eta: 2 days, 4:17:32 batch_cost: 2.8285 data_cost: 0.0017 ips: 28.2835 images/s [10/14 21:50:43] ppdet.engine INFO: Epoch: [115] [320/366] learning_rate: 0.269961 loss_vfl: 0.923229 loss_bbox: 0.314216 loss_dfl: 0.191904 loss: 1.406697 eta: 2 days, 4:16:35 batch_cost: 2.7538 data_cost: 0.0017 ips: 29.0503 images/s [10/14 21:51:40] ppdet.engine INFO: Epoch: [115] [340/366] learning_rate: 0.269854 loss_vfl: 0.914171 loss_bbox: 0.334030 loss_dfl: 0.199617 loss: 1.440391 eta: 2 days, 4:15:38 batch_cost: 2.7377 data_cost: 0.0016 ips: 29.2216 images/s [10/14 21:52:34] ppdet.engine INFO: Epoch: [115] [360/366] learning_rate: 0.269747 loss_vfl: 0.924838 loss_bbox: 0.311139 loss_dfl: 0.192599 loss: 1.439556 eta: 2 days, 4:14:34 batch_cost: 2.5551 data_cost: 0.0016 ips: 31.3103 images/s [10/14 21:53:14] ppdet.engine INFO: Epoch: [116] [ 0/366] learning_rate: 0.269714 loss_vfl: 0.924047 loss_bbox: 0.323796 loss_dfl: 0.196703 loss: 1.463786 eta: 2 days, 4:14:46 batch_cost: 3.4539 data_cost: 0.6358 ips: 23.1620 images/s [10/14 21:54:13] ppdet.engine INFO: Epoch: [116] [ 20/366] learning_rate: 0.269607 loss_vfl: 0.915198 loss_bbox: 0.319925 loss_dfl: 0.193474 loss: 1.428884 eta: 2 days, 4:13:50 batch_cost: 2.8049 data_cost: 0.0018 ips: 28.5219 images/s [10/14 21:55:11] ppdet.engine INFO: Epoch: [116] [ 40/366] learning_rate: 0.269500 loss_vfl: 0.914029 loss_bbox: 0.337161 loss_dfl: 0.201660 loss: 1.443019 eta: 2 days, 4:12:54 batch_cost: 2.7710 data_cost: 0.0023 ips: 28.8706 images/s [10/14 21:56:10] ppdet.engine INFO: Epoch: [116] [ 60/366] learning_rate: 0.269392 loss_vfl: 0.915187 loss_bbox: 0.338450 loss_dfl: 0.201992 loss: 1.468033 eta: 2 days, 4:11:59 batch_cost: 2.8184 data_cost: 0.0016 ips: 28.3845 images/s [10/14 21:57:09] ppdet.engine INFO: Epoch: [116] [ 80/366] learning_rate: 0.269285 loss_vfl: 0.931813 loss_bbox: 0.306979 loss_dfl: 0.190324 loss: 1.428145 eta: 2 days, 4:11:02 batch_cost: 2.7802 data_cost: 0.0017 ips: 28.7748 images/s [10/14 21:58:08] ppdet.engine INFO: Epoch: [116] [100/366] learning_rate: 0.269178 loss_vfl: 0.931279 loss_bbox: 0.307760 loss_dfl: 0.194575 loss: 1.433057 eta: 2 days, 4:10:07 batch_cost: 2.8147 data_cost: 0.0016 ips: 28.4218 images/s [10/14 21:59:08] ppdet.engine INFO: Epoch: [116] [120/366] learning_rate: 0.269070 loss_vfl: 0.928149 loss_bbox: 0.316350 loss_dfl: 0.189680 loss: 1.435633 eta: 2 days, 4:09:13 batch_cost: 2.8325 data_cost: 0.0017 ips: 28.2433 images/s [10/14 22:00:06] ppdet.engine INFO: Epoch: [116] [140/366] learning_rate: 0.268963 loss_vfl: 0.933700 loss_bbox: 0.327212 loss_dfl: 0.196099 loss: 1.452927 eta: 2 days, 4:08:17 batch_cost: 2.7938 data_cost: 0.0016 ips: 28.6350 images/s [10/14 22:01:04] ppdet.engine INFO: Epoch: [116] [160/366] learning_rate: 0.268856 loss_vfl: 0.922822 loss_bbox: 0.338120 loss_dfl: 0.203041 loss: 1.452353 eta: 2 days, 4:07:19 batch_cost: 2.7376 data_cost: 0.0016 ips: 29.2224 images/s [10/14 22:02:02] ppdet.engine INFO: Epoch: [116] [180/366] learning_rate: 0.268748 loss_vfl: 0.934833 loss_bbox: 0.325197 loss_dfl: 0.199744 loss: 1.451213 eta: 2 days, 4:06:22 batch_cost: 2.7449 data_cost: 0.0016 ips: 29.1452 images/s [10/14 22:03:00] ppdet.engine INFO: Epoch: [116] [200/366] learning_rate: 0.268641 loss_vfl: 0.917608 loss_bbox: 0.315895 loss_dfl: 0.200375 loss: 1.436526 eta: 2 days, 4:05:24 batch_cost: 2.7452 data_cost: 0.0017 ips: 29.1413 images/s [10/14 22:03:59] ppdet.engine INFO: Epoch: [116] [220/366] learning_rate: 0.268533 loss_vfl: 0.926193 loss_bbox: 0.320810 loss_dfl: 0.194772 loss: 1.448594 eta: 2 days, 4:04:29 batch_cost: 2.8014 data_cost: 0.0017 ips: 28.5573 images/s [10/14 22:04:58] ppdet.engine INFO: Epoch: [116] [240/366] learning_rate: 0.268426 loss_vfl: 0.920368 loss_bbox: 0.321212 loss_dfl: 0.205936 loss: 1.441835 eta: 2 days, 4:03:32 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0670 images/s [10/14 22:05:55] ppdet.engine INFO: Epoch: [116] [260/366] learning_rate: 0.268318 loss_vfl: 0.919702 loss_bbox: 0.322750 loss_dfl: 0.196395 loss: 1.438549 eta: 2 days, 4:02:33 batch_cost: 2.6998 data_cost: 0.0017 ips: 29.6314 images/s [10/14 22:06:53] ppdet.engine INFO: Epoch: [116] [280/366] learning_rate: 0.268210 loss_vfl: 0.914007 loss_bbox: 0.319606 loss_dfl: 0.192355 loss: 1.425781 eta: 2 days, 4:01:37 batch_cost: 2.7954 data_cost: 0.0017 ips: 28.6184 images/s [10/14 22:07:51] ppdet.engine INFO: Epoch: [116] [300/366] learning_rate: 0.268103 loss_vfl: 0.934381 loss_bbox: 0.323619 loss_dfl: 0.197201 loss: 1.458186 eta: 2 days, 4:00:40 batch_cost: 2.7342 data_cost: 0.0016 ips: 29.2588 images/s [10/14 22:08:50] ppdet.engine INFO: Epoch: [116] [320/366] learning_rate: 0.267995 loss_vfl: 0.939420 loss_bbox: 0.323933 loss_dfl: 0.195827 loss: 1.460504 eta: 2 days, 3:59:43 batch_cost: 2.7759 data_cost: 0.0017 ips: 28.8192 images/s [10/14 22:09:47] ppdet.engine INFO: Epoch: [116] [340/366] learning_rate: 0.267888 loss_vfl: 0.917052 loss_bbox: 0.318820 loss_dfl: 0.195877 loss: 1.434114 eta: 2 days, 3:58:44 batch_cost: 2.7006 data_cost: 0.0016 ips: 29.6234 images/s [10/14 22:10:40] ppdet.engine INFO: Epoch: [116] [360/366] learning_rate: 0.267780 loss_vfl: 0.917213 loss_bbox: 0.321848 loss_dfl: 0.194386 loss: 1.458931 eta: 2 days, 3:57:40 batch_cost: 2.5074 data_cost: 0.0015 ips: 31.9055 images/s [10/14 22:11:16] ppdet.engine INFO: Epoch: [117] [ 0/366] learning_rate: 0.267748 loss_vfl: 0.906101 loss_bbox: 0.326361 loss_dfl: 0.194424 loss: 1.458931 eta: 2 days, 3:57:47 batch_cost: 3.2682 data_cost: 0.3523 ips: 24.4783 images/s [10/14 22:12:17] ppdet.engine INFO: Epoch: [117] [ 20/366] learning_rate: 0.267640 loss_vfl: 0.934087 loss_bbox: 0.317396 loss_dfl: 0.199018 loss: 1.446333 eta: 2 days, 3:56:54 batch_cost: 2.8782 data_cost: 0.0017 ips: 27.7949 images/s [10/14 22:13:15] ppdet.engine INFO: Epoch: [117] [ 40/366] learning_rate: 0.267532 loss_vfl: 0.916316 loss_bbox: 0.328835 loss_dfl: 0.196864 loss: 1.431881 eta: 2 days, 3:55:58 batch_cost: 2.7870 data_cost: 0.0020 ips: 28.7050 images/s [10/14 22:14:14] ppdet.engine INFO: Epoch: [117] [ 60/366] learning_rate: 0.267424 loss_vfl: 0.903383 loss_bbox: 0.336432 loss_dfl: 0.202805 loss: 1.428204 eta: 2 days, 3:55:01 batch_cost: 2.7537 data_cost: 0.0017 ips: 29.0521 images/s [10/14 22:15:11] ppdet.engine INFO: Epoch: [117] [ 80/366] learning_rate: 0.267317 loss_vfl: 0.916136 loss_bbox: 0.315046 loss_dfl: 0.194006 loss: 1.419988 eta: 2 days, 3:54:03 batch_cost: 2.7405 data_cost: 0.0016 ips: 29.1922 images/s [10/14 22:16:08] ppdet.engine INFO: Epoch: [117] [100/366] learning_rate: 0.267209 loss_vfl: 0.928980 loss_bbox: 0.326684 loss_dfl: 0.204273 loss: 1.456973 eta: 2 days, 3:53:05 batch_cost: 2.7021 data_cost: 0.0016 ips: 29.6063 images/s [10/14 22:17:06] ppdet.engine INFO: Epoch: [117] [120/366] learning_rate: 0.267101 loss_vfl: 0.932657 loss_bbox: 0.325806 loss_dfl: 0.199046 loss: 1.448961 eta: 2 days, 3:52:07 batch_cost: 2.7432 data_cost: 0.0017 ips: 29.1632 images/s [10/14 22:18:03] ppdet.engine INFO: Epoch: [117] [140/366] learning_rate: 0.266993 loss_vfl: 0.914214 loss_bbox: 0.343241 loss_dfl: 0.203118 loss: 1.454401 eta: 2 days, 3:51:08 batch_cost: 2.6652 data_cost: 0.0016 ips: 30.0162 images/s [10/14 22:19:02] ppdet.engine INFO: Epoch: [117] [160/366] learning_rate: 0.266885 loss_vfl: 0.932356 loss_bbox: 0.309953 loss_dfl: 0.189219 loss: 1.414566 eta: 2 days, 3:50:13 batch_cost: 2.8398 data_cost: 0.0016 ips: 28.1713 images/s [10/14 22:20:00] ppdet.engine INFO: Epoch: [117] [180/366] learning_rate: 0.266778 loss_vfl: 0.900591 loss_bbox: 0.343532 loss_dfl: 0.199637 loss: 1.458874 eta: 2 days, 3:49:16 batch_cost: 2.7427 data_cost: 0.0016 ips: 29.1680 images/s [10/14 22:20:59] ppdet.engine INFO: Epoch: [117] [200/366] learning_rate: 0.266670 loss_vfl: 0.925057 loss_bbox: 0.313480 loss_dfl: 0.196738 loss: 1.438088 eta: 2 days, 3:48:20 batch_cost: 2.8000 data_cost: 0.0017 ips: 28.5715 images/s [10/14 22:21:57] ppdet.engine INFO: Epoch: [117] [220/366] learning_rate: 0.266562 loss_vfl: 0.920943 loss_bbox: 0.318273 loss_dfl: 0.197274 loss: 1.431958 eta: 2 days, 3:47:22 batch_cost: 2.7229 data_cost: 0.0016 ips: 29.3805 images/s [10/14 22:22:56] ppdet.engine INFO: Epoch: [117] [240/366] learning_rate: 0.266454 loss_vfl: 0.932681 loss_bbox: 0.310081 loss_dfl: 0.189620 loss: 1.431927 eta: 2 days, 3:46:26 batch_cost: 2.7903 data_cost: 0.0016 ips: 28.6710 images/s [10/14 22:23:55] ppdet.engine INFO: Epoch: [117] [260/366] learning_rate: 0.266346 loss_vfl: 0.912988 loss_bbox: 0.305353 loss_dfl: 0.190391 loss: 1.428702 eta: 2 days, 3:45:32 batch_cost: 2.8349 data_cost: 0.0017 ips: 28.2195 images/s [10/14 22:24:56] ppdet.engine INFO: Epoch: [117] [280/366] learning_rate: 0.266238 loss_vfl: 0.930219 loss_bbox: 0.323511 loss_dfl: 0.199442 loss: 1.472811 eta: 2 days, 3:44:38 batch_cost: 2.8689 data_cost: 0.0016 ips: 27.8856 images/s [10/14 22:25:55] ppdet.engine INFO: Epoch: [117] [300/366] learning_rate: 0.266130 loss_vfl: 0.927927 loss_bbox: 0.317764 loss_dfl: 0.193013 loss: 1.418897 eta: 2 days, 3:43:42 batch_cost: 2.7720 data_cost: 0.0016 ips: 28.8602 images/s [10/14 22:26:53] ppdet.engine INFO: Epoch: [117] [320/366] learning_rate: 0.266022 loss_vfl: 0.922669 loss_bbox: 0.322981 loss_dfl: 0.195050 loss: 1.433290 eta: 2 days, 3:42:44 batch_cost: 2.7509 data_cost: 0.0016 ips: 29.0813 images/s [10/14 22:27:51] ppdet.engine INFO: Epoch: [117] [340/366] learning_rate: 0.265914 loss_vfl: 0.925996 loss_bbox: 0.328812 loss_dfl: 0.204376 loss: 1.462847 eta: 2 days, 3:41:48 batch_cost: 2.7709 data_cost: 0.0016 ips: 28.8720 images/s [10/14 22:28:44] ppdet.engine INFO: Epoch: [117] [360/366] learning_rate: 0.265806 loss_vfl: 0.928418 loss_bbox: 0.312747 loss_dfl: 0.191753 loss: 1.445512 eta: 2 days, 3:40:43 batch_cost: 2.4975 data_cost: 0.0016 ips: 32.0325 images/s [10/14 22:29:22] ppdet.engine INFO: Epoch: [118] [ 0/366] learning_rate: 0.265773 loss_vfl: 0.922559 loss_bbox: 0.308882 loss_dfl: 0.191753 loss: 1.433121 eta: 2 days, 3:40:52 batch_cost: 3.3463 data_cost: 0.4992 ips: 23.9073 images/s [10/14 22:30:21] ppdet.engine INFO: Epoch: [118] [ 20/366] learning_rate: 0.265665 loss_vfl: 0.929524 loss_bbox: 0.326448 loss_dfl: 0.200271 loss: 1.441117 eta: 2 days, 3:39:56 batch_cost: 2.7789 data_cost: 0.0017 ips: 28.7879 images/s [10/14 22:31:19] ppdet.engine INFO: Epoch: [118] [ 40/366] learning_rate: 0.265557 loss_vfl: 0.930540 loss_bbox: 0.325590 loss_dfl: 0.201895 loss: 1.457446 eta: 2 days, 3:38:59 batch_cost: 2.7566 data_cost: 0.0018 ips: 29.0216 images/s [10/14 22:32:18] ppdet.engine INFO: Epoch: [118] [ 60/366] learning_rate: 0.265449 loss_vfl: 0.924198 loss_bbox: 0.314382 loss_dfl: 0.194903 loss: 1.423885 eta: 2 days, 3:38:03 batch_cost: 2.7734 data_cost: 0.0016 ips: 28.8453 images/s [10/14 22:33:16] ppdet.engine INFO: Epoch: [118] [ 80/366] learning_rate: 0.265341 loss_vfl: 0.920167 loss_bbox: 0.339850 loss_dfl: 0.206586 loss: 1.466273 eta: 2 days, 3:37:06 batch_cost: 2.7837 data_cost: 0.0016 ips: 28.7391 images/s [10/14 22:34:15] ppdet.engine INFO: Epoch: [118] [100/366] learning_rate: 0.265233 loss_vfl: 0.941651 loss_bbox: 0.306108 loss_dfl: 0.189888 loss: 1.429377 eta: 2 days, 3:36:11 batch_cost: 2.8053 data_cost: 0.0017 ips: 28.5173 images/s [10/14 22:35:14] ppdet.engine INFO: Epoch: [118] [120/366] learning_rate: 0.265124 loss_vfl: 0.913562 loss_bbox: 0.313935 loss_dfl: 0.198042 loss: 1.425647 eta: 2 days, 3:35:14 batch_cost: 2.7658 data_cost: 0.0016 ips: 28.9249 images/s [10/14 22:36:14] ppdet.engine INFO: Epoch: [118] [140/366] learning_rate: 0.265016 loss_vfl: 0.924002 loss_bbox: 0.326052 loss_dfl: 0.196107 loss: 1.448428 eta: 2 days, 3:34:21 batch_cost: 2.8763 data_cost: 0.0017 ips: 27.8136 images/s [10/14 22:37:13] ppdet.engine INFO: Epoch: [118] [160/366] learning_rate: 0.264908 loss_vfl: 0.916668 loss_bbox: 0.330880 loss_dfl: 0.205289 loss: 1.441833 eta: 2 days, 3:33:24 batch_cost: 2.7703 data_cost: 0.0016 ips: 28.8776 images/s [10/14 22:38:11] ppdet.engine INFO: Epoch: [118] [180/366] learning_rate: 0.264800 loss_vfl: 0.906848 loss_bbox: 0.331819 loss_dfl: 0.200570 loss: 1.459044 eta: 2 days, 3:32:29 batch_cost: 2.7936 data_cost: 0.0016 ips: 28.6365 images/s [10/14 22:39:10] ppdet.engine INFO: Epoch: [118] [200/366] learning_rate: 0.264691 loss_vfl: 0.902034 loss_bbox: 0.323079 loss_dfl: 0.201547 loss: 1.434840 eta: 2 days, 3:31:32 batch_cost: 2.7752 data_cost: 0.0016 ips: 28.8265 images/s [10/14 22:40:09] ppdet.engine INFO: Epoch: [118] [220/366] learning_rate: 0.264583 loss_vfl: 0.925323 loss_bbox: 0.328716 loss_dfl: 0.202718 loss: 1.466338 eta: 2 days, 3:30:36 batch_cost: 2.7851 data_cost: 0.0017 ips: 28.7242 images/s [10/14 22:41:09] ppdet.engine INFO: Epoch: [118] [240/366] learning_rate: 0.264475 loss_vfl: 0.922530 loss_bbox: 0.330086 loss_dfl: 0.199166 loss: 1.472013 eta: 2 days, 3:29:41 batch_cost: 2.8310 data_cost: 0.0017 ips: 28.2586 images/s [10/14 22:42:09] ppdet.engine INFO: Epoch: [118] [260/366] learning_rate: 0.264366 loss_vfl: 0.934065 loss_bbox: 0.301297 loss_dfl: 0.189469 loss: 1.427768 eta: 2 days, 3:28:47 batch_cost: 2.8457 data_cost: 0.0016 ips: 28.1127 images/s [10/14 22:43:08] ppdet.engine INFO: Epoch: [118] [280/366] learning_rate: 0.264258 loss_vfl: 0.918545 loss_bbox: 0.327294 loss_dfl: 0.201533 loss: 1.449698 eta: 2 days, 3:27:52 batch_cost: 2.8081 data_cost: 0.0021 ips: 28.4894 images/s [10/14 22:44:05] ppdet.engine INFO: Epoch: [118] [300/366] learning_rate: 0.264150 loss_vfl: 0.926665 loss_bbox: 0.318375 loss_dfl: 0.196275 loss: 1.445066 eta: 2 days, 3:26:54 batch_cost: 2.7403 data_cost: 0.0017 ips: 29.1939 images/s [10/14 22:45:03] ppdet.engine INFO: Epoch: [118] [320/366] learning_rate: 0.264041 loss_vfl: 0.905871 loss_bbox: 0.321234 loss_dfl: 0.195825 loss: 1.421603 eta: 2 days, 3:25:57 batch_cost: 2.7465 data_cost: 0.0016 ips: 29.1275 images/s [10/14 22:46:02] ppdet.engine INFO: Epoch: [118] [340/366] learning_rate: 0.263933 loss_vfl: 0.907797 loss_bbox: 0.327333 loss_dfl: 0.202031 loss: 1.440300 eta: 2 days, 3:25:00 batch_cost: 2.7636 data_cost: 0.0017 ips: 28.9480 images/s [10/14 22:46:53] ppdet.engine INFO: Epoch: [118] [360/366] learning_rate: 0.263824 loss_vfl: 0.913577 loss_bbox: 0.329744 loss_dfl: 0.199180 loss: 1.448959 eta: 2 days, 3:23:53 batch_cost: 2.4340 data_cost: 0.0017 ips: 32.8674 images/s [10/14 22:47:31] ppdet.engine INFO: Epoch: [119] [ 0/366] learning_rate: 0.263792 loss_vfl: 0.917206 loss_bbox: 0.327477 loss_dfl: 0.199180 loss: 1.454571 eta: 2 days, 3:24:02 batch_cost: 3.3072 data_cost: 0.6060 ips: 24.1899 images/s [10/14 22:48:30] ppdet.engine INFO: Epoch: [119] [ 20/366] learning_rate: 0.263683 loss_vfl: 0.920182 loss_bbox: 0.316682 loss_dfl: 0.191455 loss: 1.444085 eta: 2 days, 3:23:06 batch_cost: 2.7782 data_cost: 0.0023 ips: 28.7961 images/s [10/14 22:49:29] ppdet.engine INFO: Epoch: [119] [ 40/366] learning_rate: 0.263575 loss_vfl: 0.932141 loss_bbox: 0.333712 loss_dfl: 0.198775 loss: 1.438416 eta: 2 days, 3:22:10 batch_cost: 2.7865 data_cost: 0.0017 ips: 28.7096 images/s [10/14 22:50:26] ppdet.engine INFO: Epoch: [119] [ 60/366] learning_rate: 0.263466 loss_vfl: 0.914965 loss_bbox: 0.321387 loss_dfl: 0.199068 loss: 1.444498 eta: 2 days, 3:21:10 batch_cost: 2.6800 data_cost: 0.0016 ips: 29.8508 images/s [10/14 22:51:24] ppdet.engine INFO: Epoch: [119] [ 80/366] learning_rate: 0.263358 loss_vfl: 0.920611 loss_bbox: 0.329456 loss_dfl: 0.195953 loss: 1.429639 eta: 2 days, 3:20:13 batch_cost: 2.7530 data_cost: 0.0016 ips: 29.0594 images/s [10/14 22:52:22] ppdet.engine INFO: Epoch: [119] [100/366] learning_rate: 0.263249 loss_vfl: 0.920500 loss_bbox: 0.322927 loss_dfl: 0.197794 loss: 1.438621 eta: 2 days, 3:19:17 batch_cost: 2.7722 data_cost: 0.0017 ips: 28.8580 images/s [10/14 22:53:19] ppdet.engine INFO: Epoch: [119] [120/366] learning_rate: 0.263141 loss_vfl: 0.901743 loss_bbox: 0.311568 loss_dfl: 0.192360 loss: 1.418791 eta: 2 days, 3:18:19 batch_cost: 2.7237 data_cost: 0.0017 ips: 29.3722 images/s [10/14 22:54:18] ppdet.engine INFO: Epoch: [119] [140/366] learning_rate: 0.263032 loss_vfl: 0.920364 loss_bbox: 0.312943 loss_dfl: 0.196456 loss: 1.421409 eta: 2 days, 3:17:23 batch_cost: 2.7963 data_cost: 0.0016 ips: 28.6093 images/s [10/14 22:55:18] ppdet.engine INFO: Epoch: [119] [160/366] learning_rate: 0.262923 loss_vfl: 0.918903 loss_bbox: 0.340480 loss_dfl: 0.204615 loss: 1.459202 eta: 2 days, 3:16:28 batch_cost: 2.8232 data_cost: 0.0020 ips: 28.3362 images/s [10/14 22:56:17] ppdet.engine INFO: Epoch: [119] [180/366] learning_rate: 0.262815 loss_vfl: 0.919887 loss_bbox: 0.319094 loss_dfl: 0.199021 loss: 1.431513 eta: 2 days, 3:15:33 batch_cost: 2.8127 data_cost: 0.0017 ips: 28.4427 images/s [10/14 22:57:15] ppdet.engine INFO: Epoch: [119] [200/366] learning_rate: 0.262706 loss_vfl: 0.930606 loss_bbox: 0.318233 loss_dfl: 0.200075 loss: 1.449314 eta: 2 days, 3:14:35 batch_cost: 2.7216 data_cost: 0.0016 ips: 29.3947 images/s [10/14 22:58:13] ppdet.engine INFO: Epoch: [119] [220/366] learning_rate: 0.262597 loss_vfl: 0.918172 loss_bbox: 0.320257 loss_dfl: 0.193661 loss: 1.449540 eta: 2 days, 3:13:38 batch_cost: 2.7584 data_cost: 0.0017 ips: 29.0025 images/s [10/14 22:59:12] ppdet.engine INFO: Epoch: [119] [240/366] learning_rate: 0.262489 loss_vfl: 0.927240 loss_bbox: 0.310036 loss_dfl: 0.198814 loss: 1.444954 eta: 2 days, 3:12:42 batch_cost: 2.7854 data_cost: 0.0017 ips: 28.7208 images/s [10/14 23:00:11] ppdet.engine INFO: Epoch: [119] [260/366] learning_rate: 0.262380 loss_vfl: 0.924127 loss_bbox: 0.307417 loss_dfl: 0.190761 loss: 1.427279 eta: 2 days, 3:11:47 batch_cost: 2.8189 data_cost: 0.0017 ips: 28.3796 images/s [10/14 23:01:11] ppdet.engine INFO: Epoch: [119] [280/366] learning_rate: 0.262271 loss_vfl: 0.921746 loss_bbox: 0.325507 loss_dfl: 0.203866 loss: 1.459357 eta: 2 days, 3:10:53 batch_cost: 2.8648 data_cost: 0.0020 ips: 27.9253 images/s [10/14 23:02:11] ppdet.engine INFO: Epoch: [119] [300/366] learning_rate: 0.262162 loss_vfl: 0.914782 loss_bbox: 0.331958 loss_dfl: 0.198137 loss: 1.455253 eta: 2 days, 3:09:58 batch_cost: 2.8154 data_cost: 0.0016 ips: 28.4151 images/s [10/14 23:03:10] ppdet.engine INFO: Epoch: [119] [320/366] learning_rate: 0.262054 loss_vfl: 0.924256 loss_bbox: 0.317081 loss_dfl: 0.188997 loss: 1.435009 eta: 2 days, 3:09:03 batch_cost: 2.8131 data_cost: 0.0018 ips: 28.4387 images/s [10/14 23:04:07] ppdet.engine INFO: Epoch: [119] [340/366] learning_rate: 0.261945 loss_vfl: 0.917670 loss_bbox: 0.331372 loss_dfl: 0.201925 loss: 1.450769 eta: 2 days, 3:08:04 batch_cost: 2.7199 data_cost: 0.0017 ips: 29.4127 images/s [10/14 23:05:00] ppdet.engine INFO: Epoch: [119] [360/366] learning_rate: 0.261836 loss_vfl: 0.928624 loss_bbox: 0.319730 loss_dfl: 0.201492 loss: 1.464703 eta: 2 days, 3:07:00 batch_cost: 2.5184 data_cost: 0.0016 ips: 31.7661 images/s [10/14 23:05:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 23:05:17] ppdet.engine INFO: Eval iter: 0 [10/14 23:05:56] ppdet.engine INFO: Eval iter: 100 [10/14 23:06:19] ppdet.engine INFO: Eval iter: 200 [10/14 23:06:41] ppdet.engine INFO: Eval iter: 300 [10/14 23:07:04] ppdet.engine INFO: Eval iter: 400 [10/14 23:07:27] ppdet.engine INFO: Eval iter: 500 [10/14 23:07:50] ppdet.engine INFO: Eval iter: 600 [10/14 23:08:11] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/14 23:08:12] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.57s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.56s). Accumulating evaluation results... DONE (t=17.10s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.286 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.430 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.300 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.098 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.295 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.267 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.419 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.448 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.180 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.494 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.699 [10/14 23:10:14] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.97588787726835 [10/14 23:10:14] ppdet.engine INFO: Best test bbox ap is 0.286. [10/14 23:10:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/14 23:10:16] ppdet.engine INFO: Epoch: [120] [ 0/366] learning_rate: 0.261803 loss_vfl: 0.928078 loss_bbox: 0.324728 loss_dfl: 0.200538 loss: 1.464703 eta: 2 days, 3:06:38 batch_cost: 2.3632 data_cost: 0.0016 ips: 33.8520 images/s [10/14 23:11:18] ppdet.engine INFO: Epoch: [120] [ 20/366] learning_rate: 0.261695 loss_vfl: 0.924994 loss_bbox: 0.330973 loss_dfl: 0.196617 loss: 1.443557 eta: 2 days, 3:05:46 batch_cost: 2.9087 data_cost: 0.0019 ips: 27.5038 images/s [10/14 23:12:16] ppdet.engine INFO: Epoch: [120] [ 40/366] learning_rate: 0.261586 loss_vfl: 0.905530 loss_bbox: 0.329454 loss_dfl: 0.202498 loss: 1.430135 eta: 2 days, 3:04:50 batch_cost: 2.7764 data_cost: 0.0017 ips: 28.8147 images/s [10/14 23:13:15] ppdet.engine INFO: Epoch: [120] [ 60/366] learning_rate: 0.261477 loss_vfl: 0.909511 loss_bbox: 0.318392 loss_dfl: 0.191697 loss: 1.432536 eta: 2 days, 3:03:53 batch_cost: 2.7781 data_cost: 0.0019 ips: 28.7970 images/s [10/14 23:14:12] ppdet.engine INFO: Epoch: [120] [ 80/366] learning_rate: 0.261368 loss_vfl: 0.922835 loss_bbox: 0.330554 loss_dfl: 0.201500 loss: 1.451928 eta: 2 days, 3:02:55 batch_cost: 2.7238 data_cost: 0.0016 ips: 29.3704 images/s [10/14 23:15:10] ppdet.engine INFO: Epoch: [120] [100/366] learning_rate: 0.261259 loss_vfl: 0.914710 loss_bbox: 0.307813 loss_dfl: 0.190778 loss: 1.414570 eta: 2 days, 3:01:57 batch_cost: 2.7222 data_cost: 0.0017 ips: 29.3880 images/s [10/14 23:16:08] ppdet.engine INFO: Epoch: [120] [120/366] learning_rate: 0.261150 loss_vfl: 0.931270 loss_bbox: 0.315885 loss_dfl: 0.192046 loss: 1.444448 eta: 2 days, 3:01:00 batch_cost: 2.7485 data_cost: 0.0021 ips: 29.1063 images/s [10/14 23:17:06] ppdet.engine INFO: Epoch: [120] [140/366] learning_rate: 0.261041 loss_vfl: 0.926959 loss_bbox: 0.322215 loss_dfl: 0.196370 loss: 1.450117 eta: 2 days, 3:00:03 batch_cost: 2.7423 data_cost: 0.0017 ips: 29.1723 images/s [10/14 23:18:02] ppdet.engine INFO: Epoch: [120] [160/366] learning_rate: 0.260932 loss_vfl: 0.922319 loss_bbox: 0.328264 loss_dfl: 0.192317 loss: 1.451228 eta: 2 days, 2:59:04 batch_cost: 2.6836 data_cost: 0.0016 ips: 29.8106 images/s [10/14 23:18:59] ppdet.engine INFO: Epoch: [120] [180/366] learning_rate: 0.260823 loss_vfl: 0.929697 loss_bbox: 0.329580 loss_dfl: 0.203772 loss: 1.449994 eta: 2 days, 2:58:05 batch_cost: 2.7041 data_cost: 0.0016 ips: 29.5851 images/s [10/14 23:19:59] ppdet.engine INFO: Epoch: [120] [200/366] learning_rate: 0.260714 loss_vfl: 0.940890 loss_bbox: 0.314123 loss_dfl: 0.192838 loss: 1.439873 eta: 2 days, 2:57:10 batch_cost: 2.8159 data_cost: 0.0017 ips: 28.4099 images/s [10/14 23:20:56] ppdet.engine INFO: Epoch: [120] [220/366] learning_rate: 0.260605 loss_vfl: 0.919519 loss_bbox: 0.317585 loss_dfl: 0.193403 loss: 1.441906 eta: 2 days, 2:56:11 batch_cost: 2.6946 data_cost: 0.0018 ips: 29.6885 images/s [10/14 23:21:54] ppdet.engine INFO: Epoch: [120] [240/366] learning_rate: 0.260496 loss_vfl: 0.895990 loss_bbox: 0.321654 loss_dfl: 0.201182 loss: 1.414137 eta: 2 days, 2:55:15 batch_cost: 2.7709 data_cost: 0.0016 ips: 28.8714 images/s [10/14 23:22:55] ppdet.engine INFO: Epoch: [120] [260/366] learning_rate: 0.260387 loss_vfl: 0.903162 loss_bbox: 0.332537 loss_dfl: 0.198134 loss: 1.435325 eta: 2 days, 2:54:22 batch_cost: 2.8993 data_cost: 0.0018 ips: 27.5929 images/s [10/14 23:23:55] ppdet.engine INFO: Epoch: [120] [280/366] learning_rate: 0.260278 loss_vfl: 0.907423 loss_bbox: 0.329815 loss_dfl: 0.200420 loss: 1.457350 eta: 2 days, 2:53:28 batch_cost: 2.8572 data_cost: 0.0017 ips: 27.9996 images/s [10/14 23:24:54] ppdet.engine INFO: Epoch: [120] [300/366] learning_rate: 0.260168 loss_vfl: 0.911415 loss_bbox: 0.323528 loss_dfl: 0.203370 loss: 1.449369 eta: 2 days, 2:52:32 batch_cost: 2.7920 data_cost: 0.0017 ips: 28.6535 images/s [10/14 23:25:52] ppdet.engine INFO: Epoch: [120] [320/366] learning_rate: 0.260059 loss_vfl: 0.917154 loss_bbox: 0.318673 loss_dfl: 0.192004 loss: 1.425264 eta: 2 days, 2:51:35 batch_cost: 2.7442 data_cost: 0.0016 ips: 29.1519 images/s [10/14 23:26:49] ppdet.engine INFO: Epoch: [120] [340/366] learning_rate: 0.259950 loss_vfl: 0.919722 loss_bbox: 0.320103 loss_dfl: 0.198143 loss: 1.423981 eta: 2 days, 2:50:37 batch_cost: 2.7273 data_cost: 0.0016 ips: 29.3333 images/s [10/14 23:27:43] ppdet.engine INFO: Epoch: [120] [360/366] learning_rate: 0.259841 loss_vfl: 0.919498 loss_bbox: 0.298276 loss_dfl: 0.187901 loss: 1.431527 eta: 2 days, 2:49:34 batch_cost: 2.5452 data_cost: 0.0017 ips: 31.4320 images/s [10/14 23:28:20] ppdet.engine INFO: Epoch: [121] [ 0/366] learning_rate: 0.259808 loss_vfl: 0.915025 loss_bbox: 0.299546 loss_dfl: 0.191299 loss: 1.429195 eta: 2 days, 2:49:40 batch_cost: 3.3332 data_cost: 0.5527 ips: 24.0010 images/s [10/14 23:29:19] ppdet.engine INFO: Epoch: [121] [ 20/366] learning_rate: 0.259699 loss_vfl: 0.913963 loss_bbox: 0.329430 loss_dfl: 0.200550 loss: 1.432895 eta: 2 days, 2:48:45 batch_cost: 2.7995 data_cost: 0.0016 ips: 28.5769 images/s [10/14 23:30:20] ppdet.engine INFO: Epoch: [121] [ 40/366] learning_rate: 0.259590 loss_vfl: 0.910285 loss_bbox: 0.305947 loss_dfl: 0.189724 loss: 1.397625 eta: 2 days, 2:47:51 batch_cost: 2.8615 data_cost: 0.0017 ips: 27.9571 images/s [10/14 23:31:18] ppdet.engine INFO: Epoch: [121] [ 60/366] learning_rate: 0.259480 loss_vfl: 0.909315 loss_bbox: 0.327848 loss_dfl: 0.204916 loss: 1.447490 eta: 2 days, 2:46:54 batch_cost: 2.7593 data_cost: 0.0017 ips: 28.9928 images/s [10/14 23:32:17] ppdet.engine INFO: Epoch: [121] [ 80/366] learning_rate: 0.259371 loss_vfl: 0.908897 loss_bbox: 0.330632 loss_dfl: 0.200499 loss: 1.431262 eta: 2 days, 2:45:58 batch_cost: 2.7934 data_cost: 0.0018 ips: 28.6389 images/s [10/14 23:33:16] ppdet.engine INFO: Epoch: [121] [100/366] learning_rate: 0.259262 loss_vfl: 0.900147 loss_bbox: 0.311478 loss_dfl: 0.191008 loss: 1.400349 eta: 2 days, 2:45:03 batch_cost: 2.8171 data_cost: 0.0016 ips: 28.3980 images/s [10/14 23:34:15] ppdet.engine INFO: Epoch: [121] [120/366] learning_rate: 0.259153 loss_vfl: 0.912345 loss_bbox: 0.326869 loss_dfl: 0.203219 loss: 1.438047 eta: 2 days, 2:44:07 batch_cost: 2.7798 data_cost: 0.0017 ips: 28.7790 images/s [10/14 23:35:12] ppdet.engine INFO: Epoch: [121] [140/366] learning_rate: 0.259043 loss_vfl: 0.931123 loss_bbox: 0.326513 loss_dfl: 0.204116 loss: 1.447309 eta: 2 days, 2:43:09 batch_cost: 2.7313 data_cost: 0.0016 ips: 29.2900 images/s [10/14 23:36:10] ppdet.engine INFO: Epoch: [121] [160/366] learning_rate: 0.258934 loss_vfl: 0.914835 loss_bbox: 0.313789 loss_dfl: 0.196911 loss: 1.437010 eta: 2 days, 2:42:12 batch_cost: 2.7483 data_cost: 0.0019 ips: 29.1088 images/s [10/14 23:37:09] ppdet.engine INFO: Epoch: [121] [180/366] learning_rate: 0.258824 loss_vfl: 0.911308 loss_bbox: 0.328908 loss_dfl: 0.199577 loss: 1.438631 eta: 2 days, 2:41:15 batch_cost: 2.7619 data_cost: 0.0016 ips: 28.9661 images/s [10/14 23:38:08] ppdet.engine INFO: Epoch: [121] [200/366] learning_rate: 0.258715 loss_vfl: 0.914372 loss_bbox: 0.327676 loss_dfl: 0.199840 loss: 1.457052 eta: 2 days, 2:40:21 batch_cost: 2.8435 data_cost: 0.0017 ips: 28.1347 images/s [10/14 23:39:07] ppdet.engine INFO: Epoch: [121] [220/366] learning_rate: 0.258606 loss_vfl: 0.926857 loss_bbox: 0.319467 loss_dfl: 0.194367 loss: 1.461143 eta: 2 days, 2:39:25 batch_cost: 2.8093 data_cost: 0.0016 ips: 28.4768 images/s [10/14 23:40:06] ppdet.engine INFO: Epoch: [121] [240/366] learning_rate: 0.258496 loss_vfl: 0.928671 loss_bbox: 0.319523 loss_dfl: 0.195953 loss: 1.443421 eta: 2 days, 2:38:28 batch_cost: 2.7386 data_cost: 0.0016 ips: 29.2117 images/s [10/14 23:41:04] ppdet.engine INFO: Epoch: [121] [260/366] learning_rate: 0.258387 loss_vfl: 0.918416 loss_bbox: 0.324032 loss_dfl: 0.204982 loss: 1.445488 eta: 2 days, 2:37:30 batch_cost: 2.7394 data_cost: 0.0017 ips: 29.2037 images/s [10/14 23:42:03] ppdet.engine INFO: Epoch: [121] [280/366] learning_rate: 0.258277 loss_vfl: 0.922199 loss_bbox: 0.323928 loss_dfl: 0.195620 loss: 1.443606 eta: 2 days, 2:36:36 batch_cost: 2.8314 data_cost: 0.0017 ips: 28.2546 images/s [10/14 23:43:04] ppdet.engine INFO: Epoch: [121] [300/366] learning_rate: 0.258168 loss_vfl: 0.926878 loss_bbox: 0.312771 loss_dfl: 0.195411 loss: 1.425148 eta: 2 days, 2:35:42 batch_cost: 2.8744 data_cost: 0.0018 ips: 27.8319 images/s [10/14 23:44:04] ppdet.engine INFO: Epoch: [121] [320/366] learning_rate: 0.258058 loss_vfl: 0.936735 loss_bbox: 0.340104 loss_dfl: 0.201234 loss: 1.474151 eta: 2 days, 2:34:48 batch_cost: 2.8542 data_cost: 0.0017 ips: 28.0290 images/s [10/14 23:45:03] ppdet.engine INFO: Epoch: [121] [340/366] learning_rate: 0.257949 loss_vfl: 0.911443 loss_bbox: 0.337129 loss_dfl: 0.201124 loss: 1.441156 eta: 2 days, 2:33:53 batch_cost: 2.8233 data_cost: 0.0016 ips: 28.3354 images/s [10/14 23:45:56] ppdet.engine INFO: Epoch: [121] [360/366] learning_rate: 0.257839 loss_vfl: 0.916733 loss_bbox: 0.327534 loss_dfl: 0.196332 loss: 1.437405 eta: 2 days, 2:32:49 batch_cost: 2.5045 data_cost: 0.0015 ips: 31.9425 images/s [10/14 23:46:35] ppdet.engine INFO: Epoch: [122] [ 0/366] learning_rate: 0.257806 loss_vfl: 0.916733 loss_bbox: 0.322499 loss_dfl: 0.193721 loss: 1.422168 eta: 2 days, 2:32:57 batch_cost: 3.3900 data_cost: 0.5989 ips: 23.5990 images/s [10/14 23:47:35] ppdet.engine INFO: Epoch: [122] [ 20/366] learning_rate: 0.257697 loss_vfl: 0.919195 loss_bbox: 0.321090 loss_dfl: 0.194400 loss: 1.429545 eta: 2 days, 2:32:02 batch_cost: 2.8089 data_cost: 0.0019 ips: 28.4807 images/s [10/14 23:48:33] ppdet.engine INFO: Epoch: [122] [ 40/366] learning_rate: 0.257587 loss_vfl: 0.914491 loss_bbox: 0.318217 loss_dfl: 0.198403 loss: 1.439880 eta: 2 days, 2:31:05 batch_cost: 2.7556 data_cost: 0.0018 ips: 29.0316 images/s [10/14 23:49:30] ppdet.engine INFO: Epoch: [122] [ 60/366] learning_rate: 0.257478 loss_vfl: 0.918055 loss_bbox: 0.331815 loss_dfl: 0.203989 loss: 1.448016 eta: 2 days, 2:30:07 batch_cost: 2.7351 data_cost: 0.0017 ips: 29.2497 images/s [10/14 23:50:28] ppdet.engine INFO: Epoch: [122] [ 80/366] learning_rate: 0.257368 loss_vfl: 0.930169 loss_bbox: 0.319740 loss_dfl: 0.200639 loss: 1.437761 eta: 2 days, 2:29:10 batch_cost: 2.7530 data_cost: 0.0025 ips: 29.0587 images/s [10/14 23:51:27] ppdet.engine INFO: Epoch: [122] [100/366] learning_rate: 0.257258 loss_vfl: 0.922150 loss_bbox: 0.331334 loss_dfl: 0.202202 loss: 1.446318 eta: 2 days, 2:28:14 batch_cost: 2.7949 data_cost: 0.0017 ips: 28.6237 images/s [10/14 23:52:25] ppdet.engine INFO: Epoch: [122] [120/366] learning_rate: 0.257149 loss_vfl: 0.908347 loss_bbox: 0.339097 loss_dfl: 0.204380 loss: 1.449332 eta: 2 days, 2:27:18 batch_cost: 2.7613 data_cost: 0.0017 ips: 28.9716 images/s [10/14 23:53:24] ppdet.engine INFO: Epoch: [122] [140/366] learning_rate: 0.257039 loss_vfl: 0.923090 loss_bbox: 0.320152 loss_dfl: 0.199149 loss: 1.443384 eta: 2 days, 2:26:22 batch_cost: 2.8010 data_cost: 0.0019 ips: 28.5614 images/s [10/14 23:54:24] ppdet.engine INFO: Epoch: [122] [160/366] learning_rate: 0.256929 loss_vfl: 0.931841 loss_bbox: 0.335261 loss_dfl: 0.201759 loss: 1.443269 eta: 2 days, 2:25:27 batch_cost: 2.8134 data_cost: 0.0017 ips: 28.4350 images/s [10/14 23:55:22] ppdet.engine INFO: Epoch: [122] [180/366] learning_rate: 0.256820 loss_vfl: 0.916358 loss_bbox: 0.329921 loss_dfl: 0.202608 loss: 1.444647 eta: 2 days, 2:24:30 batch_cost: 2.7521 data_cost: 0.0017 ips: 29.0687 images/s [10/14 23:56:20] ppdet.engine INFO: Epoch: [122] [200/366] learning_rate: 0.256710 loss_vfl: 0.907455 loss_bbox: 0.330749 loss_dfl: 0.206218 loss: 1.439652 eta: 2 days, 2:23:33 batch_cost: 2.7729 data_cost: 0.0018 ips: 28.8502 images/s [10/14 23:57:20] ppdet.engine INFO: Epoch: [122] [220/366] learning_rate: 0.256600 loss_vfl: 0.909144 loss_bbox: 0.326598 loss_dfl: 0.196822 loss: 1.428074 eta: 2 days, 2:22:38 batch_cost: 2.8254 data_cost: 0.0017 ips: 28.3146 images/s [10/14 23:58:19] ppdet.engine INFO: Epoch: [122] [240/366] learning_rate: 0.256490 loss_vfl: 0.919917 loss_bbox: 0.327570 loss_dfl: 0.203528 loss: 1.438896 eta: 2 days, 2:21:42 batch_cost: 2.7915 data_cost: 0.0016 ips: 28.6583 images/s [10/14 23:59:18] ppdet.engine INFO: Epoch: [122] [260/366] learning_rate: 0.256380 loss_vfl: 0.912655 loss_bbox: 0.323526 loss_dfl: 0.190506 loss: 1.431401 eta: 2 days, 2:20:47 batch_cost: 2.8117 data_cost: 0.0016 ips: 28.4526 images/s [10/15 00:00:18] ppdet.engine INFO: Epoch: [122] [280/366] learning_rate: 0.256271 loss_vfl: 0.917167 loss_bbox: 0.315342 loss_dfl: 0.192314 loss: 1.431956 eta: 2 days, 2:19:53 batch_cost: 2.8439 data_cost: 0.0016 ips: 28.1305 images/s [10/15 00:01:19] ppdet.engine INFO: Epoch: [122] [300/366] learning_rate: 0.256161 loss_vfl: 0.926437 loss_bbox: 0.311364 loss_dfl: 0.191862 loss: 1.418640 eta: 2 days, 2:18:59 batch_cost: 2.8710 data_cost: 0.0017 ips: 27.8646 images/s [10/15 00:02:20] ppdet.engine INFO: Epoch: [122] [320/366] learning_rate: 0.256051 loss_vfl: 0.916326 loss_bbox: 0.320115 loss_dfl: 0.194312 loss: 1.449441 eta: 2 days, 2:18:05 batch_cost: 2.8654 data_cost: 0.0018 ips: 27.9190 images/s [10/15 00:03:20] ppdet.engine INFO: Epoch: [122] [340/366] learning_rate: 0.255941 loss_vfl: 0.927441 loss_bbox: 0.311219 loss_dfl: 0.194080 loss: 1.451285 eta: 2 days, 2:17:11 batch_cost: 2.8512 data_cost: 0.0019 ips: 28.0583 images/s [10/15 00:04:14] ppdet.engine INFO: Epoch: [122] [360/366] learning_rate: 0.255831 loss_vfl: 0.922332 loss_bbox: 0.316768 loss_dfl: 0.189334 loss: 1.424207 eta: 2 days, 2:16:09 batch_cost: 2.5738 data_cost: 0.0017 ips: 31.0824 images/s [10/15 00:04:52] ppdet.engine INFO: Epoch: [123] [ 0/366] learning_rate: 0.255798 loss_vfl: 0.925175 loss_bbox: 0.316339 loss_dfl: 0.189334 loss: 1.424207 eta: 2 days, 2:16:16 batch_cost: 3.4125 data_cost: 0.5535 ips: 23.4435 images/s [10/15 00:05:52] ppdet.engine INFO: Epoch: [123] [ 20/366] learning_rate: 0.255688 loss_vfl: 0.918377 loss_bbox: 0.322183 loss_dfl: 0.202900 loss: 1.439681 eta: 2 days, 2:15:22 batch_cost: 2.8373 data_cost: 0.0018 ips: 28.1956 images/s [10/15 00:06:52] ppdet.engine INFO: Epoch: [123] [ 40/366] learning_rate: 0.255578 loss_vfl: 0.918105 loss_bbox: 0.314407 loss_dfl: 0.192884 loss: 1.404962 eta: 2 days, 2:14:28 batch_cost: 2.8642 data_cost: 0.0016 ips: 27.9312 images/s [10/15 00:07:50] ppdet.engine INFO: Epoch: [123] [ 60/366] learning_rate: 0.255468 loss_vfl: 0.916746 loss_bbox: 0.324104 loss_dfl: 0.205691 loss: 1.453959 eta: 2 days, 2:13:31 batch_cost: 2.7635 data_cost: 0.0017 ips: 28.9488 images/s [10/15 00:08:48] ppdet.engine INFO: Epoch: [123] [ 80/366] learning_rate: 0.255358 loss_vfl: 0.902139 loss_bbox: 0.335718 loss_dfl: 0.205725 loss: 1.430388 eta: 2 days, 2:12:34 batch_cost: 2.7534 data_cost: 0.0016 ips: 29.0551 images/s [10/15 00:09:47] ppdet.engine INFO: Epoch: [123] [100/366] learning_rate: 0.255248 loss_vfl: 0.896633 loss_bbox: 0.331356 loss_dfl: 0.193153 loss: 1.426793 eta: 2 days, 2:11:38 batch_cost: 2.7761 data_cost: 0.0016 ips: 28.8177 images/s [10/15 00:10:44] ppdet.engine INFO: Epoch: [123] [120/366] learning_rate: 0.255138 loss_vfl: 0.914784 loss_bbox: 0.326086 loss_dfl: 0.191370 loss: 1.442991 eta: 2 days, 2:10:40 batch_cost: 2.7411 data_cost: 0.0025 ips: 29.1853 images/s [10/15 00:11:43] ppdet.engine INFO: Epoch: [123] [140/366] learning_rate: 0.255028 loss_vfl: 0.919980 loss_bbox: 0.314246 loss_dfl: 0.196323 loss: 1.425030 eta: 2 days, 2:09:43 batch_cost: 2.7615 data_cost: 0.0018 ips: 28.9694 images/s [10/15 00:12:41] ppdet.engine INFO: Epoch: [123] [160/366] learning_rate: 0.254918 loss_vfl: 0.918410 loss_bbox: 0.322743 loss_dfl: 0.196146 loss: 1.449733 eta: 2 days, 2:08:47 batch_cost: 2.7914 data_cost: 0.0017 ips: 28.6591 images/s [10/15 00:13:41] ppdet.engine INFO: Epoch: [123] [180/366] learning_rate: 0.254808 loss_vfl: 0.920833 loss_bbox: 0.306665 loss_dfl: 0.195775 loss: 1.423568 eta: 2 days, 2:07:52 batch_cost: 2.7966 data_cost: 0.0017 ips: 28.6063 images/s [10/15 00:14:39] ppdet.engine INFO: Epoch: [123] [200/366] learning_rate: 0.254698 loss_vfl: 0.912342 loss_bbox: 0.311595 loss_dfl: 0.191380 loss: 1.419860 eta: 2 days, 2:06:55 batch_cost: 2.7810 data_cost: 0.0023 ips: 28.7664 images/s [10/15 00:15:38] ppdet.engine INFO: Epoch: [123] [220/366] learning_rate: 0.254588 loss_vfl: 0.905346 loss_bbox: 0.337039 loss_dfl: 0.210612 loss: 1.435387 eta: 2 days, 2:06:00 batch_cost: 2.7926 data_cost: 0.0016 ips: 28.6469 images/s [10/15 00:16:37] ppdet.engine INFO: Epoch: [123] [240/366] learning_rate: 0.254478 loss_vfl: 0.913950 loss_bbox: 0.323415 loss_dfl: 0.197558 loss: 1.423955 eta: 2 days, 2:05:04 batch_cost: 2.7959 data_cost: 0.0017 ips: 28.6138 images/s [10/15 00:17:35] ppdet.engine INFO: Epoch: [123] [260/366] learning_rate: 0.254368 loss_vfl: 0.931067 loss_bbox: 0.339965 loss_dfl: 0.206240 loss: 1.473968 eta: 2 days, 2:04:07 batch_cost: 2.7739 data_cost: 0.0017 ips: 28.8402 images/s [10/15 00:18:35] ppdet.engine INFO: Epoch: [123] [280/366] learning_rate: 0.254258 loss_vfl: 0.917760 loss_bbox: 0.327157 loss_dfl: 0.204573 loss: 1.444347 eta: 2 days, 2:03:13 batch_cost: 2.8344 data_cost: 0.0017 ips: 28.2243 images/s [10/15 00:19:33] ppdet.engine INFO: Epoch: [123] [300/366] learning_rate: 0.254148 loss_vfl: 0.922234 loss_bbox: 0.318956 loss_dfl: 0.195429 loss: 1.439317 eta: 2 days, 2:02:16 batch_cost: 2.7807 data_cost: 0.0016 ips: 28.7700 images/s [10/15 00:20:32] ppdet.engine INFO: Epoch: [123] [320/366] learning_rate: 0.254037 loss_vfl: 0.930967 loss_bbox: 0.332844 loss_dfl: 0.202054 loss: 1.458598 eta: 2 days, 2:01:21 batch_cost: 2.8047 data_cost: 0.0017 ips: 28.5239 images/s [10/15 00:21:32] ppdet.engine INFO: Epoch: [123] [340/366] learning_rate: 0.253927 loss_vfl: 0.935642 loss_bbox: 0.332463 loss_dfl: 0.194137 loss: 1.461748 eta: 2 days, 2:00:26 batch_cost: 2.8429 data_cost: 0.0016 ips: 28.1400 images/s [10/15 00:22:27] ppdet.engine INFO: Epoch: [123] [360/366] learning_rate: 0.253817 loss_vfl: 0.925969 loss_bbox: 0.307840 loss_dfl: 0.189476 loss: 1.426510 eta: 2 days, 1:59:25 batch_cost: 2.5931 data_cost: 0.0016 ips: 30.8516 images/s [10/15 00:23:06] ppdet.engine INFO: Epoch: [124] [ 0/366] learning_rate: 0.253784 loss_vfl: 0.925969 loss_bbox: 0.319094 loss_dfl: 0.198403 loss: 1.445724 eta: 2 days, 1:59:33 batch_cost: 3.4580 data_cost: 0.2806 ips: 23.1347 images/s [10/15 00:24:05] ppdet.engine INFO: Epoch: [124] [ 20/366] learning_rate: 0.253674 loss_vfl: 0.905515 loss_bbox: 0.322108 loss_dfl: 0.194254 loss: 1.430030 eta: 2 days, 1:58:37 batch_cost: 2.7758 data_cost: 0.0020 ips: 28.8202 images/s [10/15 00:25:03] ppdet.engine INFO: Epoch: [124] [ 40/366] learning_rate: 0.253563 loss_vfl: 0.912022 loss_bbox: 0.342138 loss_dfl: 0.201943 loss: 1.451289 eta: 2 days, 1:57:40 batch_cost: 2.7790 data_cost: 0.0017 ips: 28.7874 images/s [10/15 00:26:02] ppdet.engine INFO: Epoch: [124] [ 60/366] learning_rate: 0.253453 loss_vfl: 0.915099 loss_bbox: 0.308284 loss_dfl: 0.192674 loss: 1.424878 eta: 2 days, 1:56:44 batch_cost: 2.7659 data_cost: 0.0018 ips: 28.9237 images/s [10/15 00:27:00] ppdet.engine INFO: Epoch: [124] [ 80/366] learning_rate: 0.253343 loss_vfl: 0.926247 loss_bbox: 0.334332 loss_dfl: 0.203133 loss: 1.447991 eta: 2 days, 1:55:47 batch_cost: 2.7500 data_cost: 0.0018 ips: 29.0906 images/s [10/15 00:27:59] ppdet.engine INFO: Epoch: [124] [100/366] learning_rate: 0.253233 loss_vfl: 0.905051 loss_bbox: 0.337944 loss_dfl: 0.200351 loss: 1.428311 eta: 2 days, 1:54:51 batch_cost: 2.7923 data_cost: 0.0020 ips: 28.6500 images/s [10/15 00:28:57] ppdet.engine INFO: Epoch: [124] [120/366] learning_rate: 0.253122 loss_vfl: 0.915433 loss_bbox: 0.331444 loss_dfl: 0.200342 loss: 1.434458 eta: 2 days, 1:53:55 batch_cost: 2.7915 data_cost: 0.0018 ips: 28.6584 images/s [10/15 00:29:57] ppdet.engine INFO: Epoch: [124] [140/366] learning_rate: 0.253012 loss_vfl: 0.911018 loss_bbox: 0.340999 loss_dfl: 0.201694 loss: 1.443342 eta: 2 days, 1:53:00 batch_cost: 2.8275 data_cost: 0.0016 ips: 28.2940 images/s [10/15 00:30:57] ppdet.engine INFO: Epoch: [124] [160/366] learning_rate: 0.252902 loss_vfl: 0.899028 loss_bbox: 0.324343 loss_dfl: 0.202021 loss: 1.429188 eta: 2 days, 1:52:06 batch_cost: 2.8657 data_cost: 0.0020 ips: 27.9164 images/s [10/15 00:31:56] ppdet.engine INFO: Epoch: [124] [180/366] learning_rate: 0.252791 loss_vfl: 0.914378 loss_bbox: 0.321242 loss_dfl: 0.196493 loss: 1.433646 eta: 2 days, 1:51:10 batch_cost: 2.7911 data_cost: 0.0017 ips: 28.6621 images/s [10/15 00:32:55] ppdet.engine INFO: Epoch: [124] [200/366] learning_rate: 0.252681 loss_vfl: 0.927430 loss_bbox: 0.327703 loss_dfl: 0.201705 loss: 1.456281 eta: 2 days, 1:50:15 batch_cost: 2.8068 data_cost: 0.0023 ips: 28.5023 images/s [10/15 00:33:55] ppdet.engine INFO: Epoch: [124] [220/366] learning_rate: 0.252570 loss_vfl: 0.916956 loss_bbox: 0.320789 loss_dfl: 0.199536 loss: 1.434122 eta: 2 days, 1:49:20 batch_cost: 2.8459 data_cost: 0.0024 ips: 28.1111 images/s [10/15 00:34:55] ppdet.engine INFO: Epoch: [124] [240/366] learning_rate: 0.252460 loss_vfl: 0.943482 loss_bbox: 0.324937 loss_dfl: 0.196733 loss: 1.465917 eta: 2 days, 1:48:25 batch_cost: 2.8343 data_cost: 0.0017 ips: 28.2261 images/s [10/15 00:35:55] ppdet.engine INFO: Epoch: [124] [260/366] learning_rate: 0.252349 loss_vfl: 0.910445 loss_bbox: 0.307315 loss_dfl: 0.188722 loss: 1.420922 eta: 2 days, 1:47:31 batch_cost: 2.8374 data_cost: 0.0017 ips: 28.1944 images/s [10/15 00:36:53] ppdet.engine INFO: Epoch: [124] [280/366] learning_rate: 0.252239 loss_vfl: 0.910803 loss_bbox: 0.317281 loss_dfl: 0.195264 loss: 1.427881 eta: 2 days, 1:46:34 batch_cost: 2.7776 data_cost: 0.0018 ips: 28.8018 images/s [10/15 00:37:53] ppdet.engine INFO: Epoch: [124] [300/366] learning_rate: 0.252129 loss_vfl: 0.914487 loss_bbox: 0.320546 loss_dfl: 0.197554 loss: 1.436694 eta: 2 days, 1:45:40 batch_cost: 2.8379 data_cost: 0.0016 ips: 28.1897 images/s [10/15 00:38:53] ppdet.engine INFO: Epoch: [124] [320/366] learning_rate: 0.252018 loss_vfl: 0.915300 loss_bbox: 0.327381 loss_dfl: 0.199738 loss: 1.437959 eta: 2 days, 1:44:45 batch_cost: 2.8319 data_cost: 0.0016 ips: 28.2500 images/s [10/15 00:39:53] ppdet.engine INFO: Epoch: [124] [340/366] learning_rate: 0.251908 loss_vfl: 0.917691 loss_bbox: 0.328925 loss_dfl: 0.199316 loss: 1.447060 eta: 2 days, 1:43:51 batch_cost: 2.8477 data_cost: 0.0016 ips: 28.0927 images/s [10/15 00:40:47] ppdet.engine INFO: Epoch: [124] [360/366] learning_rate: 0.251797 loss_vfl: 0.921286 loss_bbox: 0.318383 loss_dfl: 0.197314 loss: 1.462864 eta: 2 days, 1:42:48 batch_cost: 2.5628 data_cost: 0.0016 ips: 31.2158 images/s [10/15 00:41:25] ppdet.engine INFO: Epoch: [125] [ 0/366] learning_rate: 0.251764 loss_vfl: 0.925634 loss_bbox: 0.316489 loss_dfl: 0.196664 loss: 1.444990 eta: 2 days, 1:42:55 batch_cost: 3.3925 data_cost: 0.4852 ips: 23.5817 images/s [10/15 00:42:23] ppdet.engine INFO: Epoch: [125] [ 20/366] learning_rate: 0.251653 loss_vfl: 0.915493 loss_bbox: 0.320706 loss_dfl: 0.192815 loss: 1.422564 eta: 2 days, 1:41:58 batch_cost: 2.7639 data_cost: 0.0017 ips: 28.9445 images/s [10/15 00:43:23] ppdet.engine INFO: Epoch: [125] [ 40/366] learning_rate: 0.251543 loss_vfl: 0.922750 loss_bbox: 0.318361 loss_dfl: 0.191892 loss: 1.428196 eta: 2 days, 1:41:03 batch_cost: 2.8187 data_cost: 0.0017 ips: 28.3817 images/s [10/15 00:44:22] ppdet.engine INFO: Epoch: [125] [ 60/366] learning_rate: 0.251432 loss_vfl: 0.930253 loss_bbox: 0.325051 loss_dfl: 0.204859 loss: 1.473322 eta: 2 days, 1:40:08 batch_cost: 2.8378 data_cost: 0.0017 ips: 28.1909 images/s [10/15 00:45:22] ppdet.engine INFO: Epoch: [125] [ 80/366] learning_rate: 0.251321 loss_vfl: 0.896067 loss_bbox: 0.333679 loss_dfl: 0.197483 loss: 1.426941 eta: 2 days, 1:39:13 batch_cost: 2.7944 data_cost: 0.0017 ips: 28.6289 images/s [10/15 00:46:21] ppdet.engine INFO: Epoch: [125] [100/366] learning_rate: 0.251211 loss_vfl: 0.911689 loss_bbox: 0.323296 loss_dfl: 0.201983 loss: 1.425020 eta: 2 days, 1:38:18 batch_cost: 2.8246 data_cost: 0.0017 ips: 28.3226 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[125] [200/366] learning_rate: 0.250657 loss_vfl: 0.908792 loss_bbox: 0.316363 loss_dfl: 0.194555 loss: 1.432236 eta: 2 days, 1:33:40 batch_cost: 2.8206 data_cost: 0.0017 ips: 28.3627 images/s [10/15 00:52:15] ppdet.engine INFO: Epoch: [125] [220/366] learning_rate: 0.250547 loss_vfl: 0.914927 loss_bbox: 0.318624 loss_dfl: 0.195060 loss: 1.431811 eta: 2 days, 1:32:44 batch_cost: 2.7815 data_cost: 0.0017 ips: 28.7618 images/s [10/15 00:53:15] ppdet.engine INFO: Epoch: [125] [240/366] learning_rate: 0.250436 loss_vfl: 0.928684 loss_bbox: 0.320816 loss_dfl: 0.196378 loss: 1.441984 eta: 2 days, 1:31:49 batch_cost: 2.8368 data_cost: 0.0017 ips: 28.2012 images/s [10/15 00:54:15] ppdet.engine INFO: Epoch: [125] [260/366] learning_rate: 0.250325 loss_vfl: 0.916571 loss_bbox: 0.327831 loss_dfl: 0.197086 loss: 1.452592 eta: 2 days, 1:30:54 batch_cost: 2.8107 data_cost: 0.0017 ips: 28.4627 images/s [10/15 00:55:13] ppdet.engine INFO: Epoch: [125] [280/366] learning_rate: 0.250214 loss_vfl: 0.913287 loss_bbox: 0.322842 loss_dfl: 0.196363 loss: 1.421467 eta: 2 days, 1:29:57 batch_cost: 2.7610 data_cost: 0.0018 ips: 28.9754 images/s [10/15 00:56:12] ppdet.engine INFO: Epoch: [125] [300/366] learning_rate: 0.250104 loss_vfl: 0.919803 loss_bbox: 0.321510 loss_dfl: 0.193959 loss: 1.421370 eta: 2 days, 1:29:02 batch_cost: 2.8189 data_cost: 0.0016 ips: 28.3794 images/s [10/15 00:57:12] ppdet.engine INFO: Epoch: [125] [320/366] learning_rate: 0.249993 loss_vfl: 0.920326 loss_bbox: 0.326479 loss_dfl: 0.204341 loss: 1.439919 eta: 2 days, 1:28:07 batch_cost: 2.8381 data_cost: 0.0023 ips: 28.1877 images/s [10/15 00:58:11] ppdet.engine INFO: Epoch: [125] [340/366] learning_rate: 0.249882 loss_vfl: 0.930595 loss_bbox: 0.320257 loss_dfl: 0.196327 loss: 1.444817 eta: 2 days, 1:27:12 batch_cost: 2.8218 data_cost: 0.0017 ips: 28.3505 images/s [10/15 00:59:06] ppdet.engine INFO: Epoch: [125] [360/366] learning_rate: 0.249771 loss_vfl: 0.918687 loss_bbox: 0.316700 loss_dfl: 0.195970 loss: 1.440461 eta: 2 days, 1:26:10 batch_cost: 2.5954 data_cost: 0.0016 ips: 30.8236 images/s [10/15 00:59:45] ppdet.engine INFO: Epoch: [126] [ 0/366] learning_rate: 0.249738 loss_vfl: 0.918687 loss_bbox: 0.318771 loss_dfl: 0.197014 loss: 1.444473 eta: 2 days, 1:26:17 batch_cost: 3.4209 data_cost: 0.5663 ips: 23.3857 images/s [10/15 01:00:42] ppdet.engine INFO: Epoch: [126] [ 20/366] learning_rate: 0.249627 loss_vfl: 0.921132 loss_bbox: 0.314537 loss_dfl: 0.196826 loss: 1.436801 eta: 2 days, 1:25:20 batch_cost: 2.7489 data_cost: 0.0017 ips: 29.1025 images/s [10/15 01:01:40] ppdet.engine INFO: Epoch: [126] [ 40/366] learning_rate: 0.249516 loss_vfl: 0.912163 loss_bbox: 0.324300 loss_dfl: 0.195967 loss: 1.430233 eta: 2 days, 1:24:22 batch_cost: 2.7474 data_cost: 0.0017 ips: 29.1182 images/s [10/15 01:02:39] ppdet.engine INFO: Epoch: [126] [ 60/366] learning_rate: 0.249405 loss_vfl: 0.914509 loss_bbox: 0.335329 loss_dfl: 0.200980 loss: 1.441387 eta: 2 days, 1:23:26 batch_cost: 2.7618 data_cost: 0.0017 ips: 28.9666 images/s [10/15 01:03:37] ppdet.engine INFO: Epoch: [126] [ 80/366] learning_rate: 0.249294 loss_vfl: 0.906434 loss_bbox: 0.323778 loss_dfl: 0.196205 loss: 1.424051 eta: 2 days, 1:22:29 batch_cost: 2.7549 data_cost: 0.0018 ips: 29.0390 images/s [10/15 01:04:35] ppdet.engine INFO: Epoch: [126] [100/366] learning_rate: 0.249184 loss_vfl: 0.912291 loss_bbox: 0.322170 loss_dfl: 0.196328 loss: 1.429821 eta: 2 days, 1:21:32 batch_cost: 2.7747 data_cost: 0.0016 ips: 28.8321 images/s [10/15 01:05:33] ppdet.engine INFO: Epoch: [126] [120/366] learning_rate: 0.249073 loss_vfl: 0.910870 loss_bbox: 0.324245 loss_dfl: 0.196221 loss: 1.436934 eta: 2 days, 1:20:35 batch_cost: 2.7522 data_cost: 0.0016 ips: 29.0681 images/s [10/15 01:06:32] ppdet.engine INFO: Epoch: [126] [140/366] learning_rate: 0.248962 loss_vfl: 0.911651 loss_bbox: 0.336994 loss_dfl: 0.204464 loss: 1.447620 eta: 2 days, 1:19:37 batch_cost: 2.7307 data_cost: 0.0018 ips: 29.2966 images/s [10/15 01:07:31] ppdet.engine INFO: Epoch: [126] [160/366] learning_rate: 0.248851 loss_vfl: 0.919902 loss_bbox: 0.297181 loss_dfl: 0.190587 loss: 1.427504 eta: 2 days, 1:18:42 batch_cost: 2.7951 data_cost: 0.0016 ips: 28.6211 images/s [10/15 01:08:30] ppdet.engine INFO: Epoch: [126] [180/366] learning_rate: 0.248740 loss_vfl: 0.919342 loss_bbox: 0.323619 loss_dfl: 0.200734 loss: 1.429942 eta: 2 days, 1:17:46 batch_cost: 2.7980 data_cost: 0.0017 ips: 28.5921 images/s [10/15 01:09:28] ppdet.engine INFO: Epoch: [126] [200/366] learning_rate: 0.248629 loss_vfl: 0.919677 loss_bbox: 0.307565 loss_dfl: 0.190785 loss: 1.434489 eta: 2 days, 1:16:48 batch_cost: 2.7420 data_cost: 0.0016 ips: 29.1756 images/s [10/15 01:10:25] ppdet.engine INFO: Epoch: [126] [220/366] learning_rate: 0.248518 loss_vfl: 0.921890 loss_bbox: 0.338090 loss_dfl: 0.203424 loss: 1.456397 eta: 2 days, 1:15:51 batch_cost: 2.7488 data_cost: 0.0016 ips: 29.1038 images/s [10/15 01:11:23] ppdet.engine INFO: Epoch: [126] [240/366] learning_rate: 0.248407 loss_vfl: 0.919266 loss_bbox: 0.324732 loss_dfl: 0.197484 loss: 1.455929 eta: 2 days, 1:14:53 batch_cost: 2.7034 data_cost: 0.0016 ips: 29.5928 images/s [10/15 01:12:21] ppdet.engine INFO: Epoch: [126] [260/366] learning_rate: 0.248296 loss_vfl: 0.917733 loss_bbox: 0.328464 loss_dfl: 0.196686 loss: 1.436379 eta: 2 days, 1:13:56 batch_cost: 2.7491 data_cost: 0.0016 ips: 29.1001 images/s [10/15 01:13:19] ppdet.engine INFO: Epoch: [126] [280/366] learning_rate: 0.248184 loss_vfl: 0.923661 loss_bbox: 0.307723 loss_dfl: 0.188733 loss: 1.413556 eta: 2 days, 1:13:00 batch_cost: 2.7854 data_cost: 0.0016 ips: 28.7208 images/s [10/15 01:14:19] ppdet.engine INFO: Epoch: [126] [300/366] learning_rate: 0.248073 loss_vfl: 0.922097 loss_bbox: 0.304016 loss_dfl: 0.189165 loss: 1.415698 eta: 2 days, 1:12:04 batch_cost: 2.8012 data_cost: 0.0017 ips: 28.5590 images/s [10/15 01:15:18] ppdet.engine INFO: Epoch: [126] [320/366] learning_rate: 0.247962 loss_vfl: 0.907333 loss_bbox: 0.311476 loss_dfl: 0.196189 loss: 1.417298 eta: 2 days, 1:11:08 batch_cost: 2.8090 data_cost: 0.0016 ips: 28.4794 images/s [10/15 01:16:16] ppdet.engine INFO: Epoch: [126] [340/366] learning_rate: 0.247851 loss_vfl: 0.925260 loss_bbox: 0.303597 loss_dfl: 0.192369 loss: 1.439668 eta: 2 days, 1:10:11 batch_cost: 2.7542 data_cost: 0.0016 ips: 29.0463 images/s [10/15 01:17:08] ppdet.engine INFO: Epoch: [126] [360/366] learning_rate: 0.247740 loss_vfl: 0.917753 loss_bbox: 0.334066 loss_dfl: 0.202675 loss: 1.458119 eta: 2 days, 1:09:06 batch_cost: 2.4470 data_cost: 0.0015 ips: 32.6936 images/s [10/15 01:17:44] ppdet.engine INFO: Epoch: [127] [ 0/366] learning_rate: 0.247707 loss_vfl: 0.911472 loss_bbox: 0.331583 loss_dfl: 0.200669 loss: 1.436826 eta: 2 days, 1:09:11 batch_cost: 3.2781 data_cost: 0.3690 ips: 24.4046 images/s [10/15 01:18:44] ppdet.engine INFO: Epoch: [127] [ 20/366] learning_rate: 0.247596 loss_vfl: 0.904983 loss_bbox: 0.316094 loss_dfl: 0.193582 loss: 1.413626 eta: 2 days, 1:08:15 batch_cost: 2.8158 data_cost: 0.0027 ips: 28.4108 images/s [10/15 01:19:42] ppdet.engine INFO: Epoch: [127] [ 40/366] learning_rate: 0.247484 loss_vfl: 0.924063 loss_bbox: 0.327680 loss_dfl: 0.201888 loss: 1.459657 eta: 2 days, 1:07:19 batch_cost: 2.7785 data_cost: 0.0028 ips: 28.7927 images/s [10/15 01:20:42] ppdet.engine INFO: Epoch: [127] [ 60/366] learning_rate: 0.247373 loss_vfl: 0.913561 loss_bbox: 0.334381 loss_dfl: 0.200857 loss: 1.432799 eta: 2 days, 1:06:24 batch_cost: 2.8421 data_cost: 0.0016 ips: 28.1479 images/s [10/15 01:21:41] ppdet.engine INFO: Epoch: [127] [ 80/366] learning_rate: 0.247262 loss_vfl: 0.909812 loss_bbox: 0.304316 loss_dfl: 0.185780 loss: 1.408121 eta: 2 days, 1:05:29 batch_cost: 2.8154 data_cost: 0.0017 ips: 28.4147 images/s [10/15 01:22:40] ppdet.engine INFO: Epoch: [127] [100/366] learning_rate: 0.247151 loss_vfl: 0.922948 loss_bbox: 0.318973 loss_dfl: 0.196796 loss: 1.419837 eta: 2 days, 1:04:33 batch_cost: 2.7822 data_cost: 0.0017 ips: 28.7544 images/s [10/15 01:23:41] ppdet.engine INFO: Epoch: [127] [120/366] learning_rate: 0.247040 loss_vfl: 0.916620 loss_bbox: 0.312061 loss_dfl: 0.195354 loss: 1.428102 eta: 2 days, 1:03:39 batch_cost: 2.8787 data_cost: 0.0018 ips: 27.7905 images/s [10/15 01:24:39] ppdet.engine INFO: Epoch: [127] [140/366] learning_rate: 0.246928 loss_vfl: 0.906153 loss_bbox: 0.324689 loss_dfl: 0.202166 loss: 1.439684 eta: 2 days, 1:02:42 batch_cost: 2.7608 data_cost: 0.0016 ips: 28.9767 images/s [10/15 01:25:37] ppdet.engine INFO: Epoch: [127] [160/366] learning_rate: 0.246817 loss_vfl: 0.907778 loss_bbox: 0.310615 loss_dfl: 0.194014 loss: 1.424400 eta: 2 days, 1:01:46 batch_cost: 2.7741 data_cost: 0.0016 ips: 28.8380 images/s [10/15 01:26:35] ppdet.engine INFO: Epoch: [127] [180/366] learning_rate: 0.246706 loss_vfl: 0.903788 loss_bbox: 0.317561 loss_dfl: 0.200682 loss: 1.431269 eta: 2 days, 1:00:49 batch_cost: 2.7509 data_cost: 0.0017 ips: 29.0814 images/s [10/15 01:27:34] ppdet.engine INFO: Epoch: [127] [200/366] learning_rate: 0.246594 loss_vfl: 0.926088 loss_bbox: 0.334905 loss_dfl: 0.198287 loss: 1.466798 eta: 2 days, 0:59:53 batch_cost: 2.7913 data_cost: 0.0016 ips: 28.6601 images/s [10/15 01:28:32] ppdet.engine INFO: Epoch: [127] [220/366] learning_rate: 0.246483 loss_vfl: 0.913419 loss_bbox: 0.332348 loss_dfl: 0.198118 loss: 1.443210 eta: 2 days, 0:58:56 batch_cost: 2.7505 data_cost: 0.0016 ips: 29.0856 images/s [10/15 01:29:30] ppdet.engine INFO: Epoch: [127] [240/366] learning_rate: 0.246372 loss_vfl: 0.915878 loss_bbox: 0.321357 loss_dfl: 0.197132 loss: 1.424744 eta: 2 days, 0:57:59 batch_cost: 2.7532 data_cost: 0.0017 ips: 29.0570 images/s [10/15 01:30:29] ppdet.engine INFO: Epoch: [127] [260/366] learning_rate: 0.246261 loss_vfl: 0.919218 loss_bbox: 0.323318 loss_dfl: 0.194145 loss: 1.438769 eta: 2 days, 0:57:03 batch_cost: 2.8072 data_cost: 0.0017 ips: 28.4985 images/s [10/15 01:31:28] ppdet.engine INFO: Epoch: [127] [280/366] learning_rate: 0.246149 loss_vfl: 0.917321 loss_bbox: 0.310739 loss_dfl: 0.188729 loss: 1.440458 eta: 2 days, 0:56:07 batch_cost: 2.7883 data_cost: 0.0031 ips: 28.6908 images/s [10/15 01:32:27] ppdet.engine INFO: Epoch: [127] [300/366] learning_rate: 0.246038 loss_vfl: 0.913080 loss_bbox: 0.314203 loss_dfl: 0.189951 loss: 1.432053 eta: 2 days, 0:55:11 batch_cost: 2.7952 data_cost: 0.0016 ips: 28.6208 images/s [10/15 01:33:25] ppdet.engine INFO: Epoch: [127] [320/366] learning_rate: 0.245926 loss_vfl: 0.912329 loss_bbox: 0.328075 loss_dfl: 0.191021 loss: 1.457093 eta: 2 days, 0:54:15 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7075 images/s [10/15 01:34:24] ppdet.engine INFO: Epoch: [127] [340/366] learning_rate: 0.245815 loss_vfl: 0.917881 loss_bbox: 0.335565 loss_dfl: 0.198491 loss: 1.448911 eta: 2 days, 0:53:19 batch_cost: 2.7937 data_cost: 0.0016 ips: 28.6358 images/s [10/15 01:35:18] ppdet.engine INFO: Epoch: [127] [360/366] learning_rate: 0.245704 loss_vfl: 0.904115 loss_bbox: 0.324143 loss_dfl: 0.193240 loss: 1.416581 eta: 2 days, 0:52:17 batch_cost: 2.5479 data_cost: 0.0016 ips: 31.3987 images/s [10/15 01:35:51] ppdet.engine INFO: Epoch: [128] [ 0/366] learning_rate: 0.245670 loss_vfl: 0.909123 loss_bbox: 0.321720 loss_dfl: 0.189746 loss: 1.416581 eta: 2 days, 0:52:16 batch_cost: 3.1462 data_cost: 0.2461 ips: 25.4273 images/s [10/15 01:36:55] ppdet.engine INFO: Epoch: [128] [ 20/366] learning_rate: 0.245559 loss_vfl: 0.917902 loss_bbox: 0.321074 loss_dfl: 0.195766 loss: 1.423705 eta: 2 days, 0:51:26 batch_cost: 2.9989 data_cost: 0.0017 ips: 26.6764 images/s [10/15 01:37:54] ppdet.engine INFO: Epoch: [128] [ 40/366] learning_rate: 0.245447 loss_vfl: 0.914754 loss_bbox: 0.321585 loss_dfl: 0.199865 loss: 1.459849 eta: 2 days, 0:50:31 batch_cost: 2.8227 data_cost: 0.0016 ips: 28.3418 images/s [10/15 01:38:52] ppdet.engine INFO: Epoch: [128] [ 60/366] learning_rate: 0.245336 loss_vfl: 0.909513 loss_bbox: 0.324571 loss_dfl: 0.200725 loss: 1.422455 eta: 2 days, 0:49:34 batch_cost: 2.7557 data_cost: 0.0016 ips: 29.0307 images/s [10/15 01:39:52] ppdet.engine INFO: Epoch: [128] [ 80/366] learning_rate: 0.245224 loss_vfl: 0.915179 loss_bbox: 0.309879 loss_dfl: 0.192384 loss: 1.409575 eta: 2 days, 0:48:39 batch_cost: 2.8453 data_cost: 0.0017 ips: 28.1168 images/s [10/15 01:40:52] ppdet.engine INFO: Epoch: [128] [100/366] learning_rate: 0.245113 loss_vfl: 0.916988 loss_bbox: 0.305784 loss_dfl: 0.188160 loss: 1.443342 eta: 2 days, 0:47:45 batch_cost: 2.8397 data_cost: 0.0017 ips: 28.1723 images/s [10/15 01:41:51] ppdet.engine INFO: Epoch: [128] [120/366] learning_rate: 0.245001 loss_vfl: 0.906731 loss_bbox: 0.323570 loss_dfl: 0.202318 loss: 1.436767 eta: 2 days, 0:46:49 batch_cost: 2.8032 data_cost: 0.0018 ips: 28.5386 images/s [10/15 01:42:49] ppdet.engine INFO: Epoch: [128] [140/366] learning_rate: 0.244890 loss_vfl: 0.909333 loss_bbox: 0.314047 loss_dfl: 0.199057 loss: 1.429237 eta: 2 days, 0:45:51 batch_cost: 2.7363 data_cost: 0.0017 ips: 29.2362 images/s [10/15 01:43:48] ppdet.engine INFO: Epoch: [128] [160/366] learning_rate: 0.244778 loss_vfl: 0.916917 loss_bbox: 0.326427 loss_dfl: 0.198457 loss: 1.458920 eta: 2 days, 0:44:56 batch_cost: 2.8032 data_cost: 0.0016 ips: 28.5387 images/s [10/15 01:44:47] ppdet.engine INFO: Epoch: [128] [180/366] learning_rate: 0.244667 loss_vfl: 0.911033 loss_bbox: 0.332887 loss_dfl: 0.201824 loss: 1.451875 eta: 2 days, 0:44:00 batch_cost: 2.7832 data_cost: 0.0029 ips: 28.7435 images/s [10/15 01:45:45] ppdet.engine INFO: Epoch: [128] [200/366] learning_rate: 0.244555 loss_vfl: 0.913716 loss_bbox: 0.333144 loss_dfl: 0.201054 loss: 1.439559 eta: 2 days, 0:43:03 batch_cost: 2.7618 data_cost: 0.0016 ips: 28.9668 images/s [10/15 01:46:44] ppdet.engine INFO: Epoch: [128] [220/366] learning_rate: 0.244444 loss_vfl: 0.905296 loss_bbox: 0.336511 loss_dfl: 0.203041 loss: 1.425356 eta: 2 days, 0:42:07 batch_cost: 2.7987 data_cost: 0.0016 ips: 28.5844 images/s [10/15 01:47:42] ppdet.engine INFO: Epoch: [128] [240/366] learning_rate: 0.244332 loss_vfl: 0.910998 loss_bbox: 0.333134 loss_dfl: 0.195726 loss: 1.446949 eta: 2 days, 0:41:10 batch_cost: 2.7693 data_cost: 0.0017 ips: 28.8884 images/s [10/15 01:48:42] ppdet.engine INFO: Epoch: [128] [260/366] learning_rate: 0.244220 loss_vfl: 0.920549 loss_bbox: 0.313372 loss_dfl: 0.193089 loss: 1.431695 eta: 2 days, 0:40:14 batch_cost: 2.7920 data_cost: 0.0020 ips: 28.6529 images/s [10/15 01:49:41] ppdet.engine INFO: Epoch: [128] [280/366] learning_rate: 0.244109 loss_vfl: 0.918954 loss_bbox: 0.324960 loss_dfl: 0.195505 loss: 1.434355 eta: 2 days, 0:39:19 batch_cost: 2.8250 data_cost: 0.0017 ips: 28.3190 images/s [10/15 01:50:40] ppdet.engine INFO: Epoch: [128] [300/366] learning_rate: 0.243997 loss_vfl: 0.901674 loss_bbox: 0.326715 loss_dfl: 0.199098 loss: 1.434563 eta: 2 days, 0:38:24 batch_cost: 2.8056 data_cost: 0.0016 ips: 28.5142 images/s [10/15 01:51:40] ppdet.engine INFO: Epoch: [128] [320/366] learning_rate: 0.243886 loss_vfl: 0.911947 loss_bbox: 0.316016 loss_dfl: 0.188197 loss: 1.419806 eta: 2 days, 0:37:29 batch_cost: 2.8297 data_cost: 0.0017 ips: 28.2716 images/s [10/15 01:52:39] ppdet.engine INFO: Epoch: [128] [340/366] learning_rate: 0.243774 loss_vfl: 0.900607 loss_bbox: 0.307130 loss_dfl: 0.191658 loss: 1.405469 eta: 2 days, 0:36:32 batch_cost: 2.7796 data_cost: 0.0016 ips: 28.7811 images/s [10/15 01:53:32] ppdet.engine INFO: Epoch: [128] [360/366] learning_rate: 0.243662 loss_vfl: 0.898029 loss_bbox: 0.317241 loss_dfl: 0.201799 loss: 1.413870 eta: 2 days, 0:35:29 batch_cost: 2.5021 data_cost: 0.0017 ips: 31.9732 images/s [10/15 01:54:11] ppdet.engine INFO: Epoch: [129] [ 0/366] learning_rate: 0.243629 loss_vfl: 0.900807 loss_bbox: 0.314377 loss_dfl: 0.196279 loss: 1.413135 eta: 2 days, 0:35:36 batch_cost: 3.4018 data_cost: 0.6513 ips: 23.5168 images/s [10/15 01:55:09] ppdet.engine INFO: Epoch: [129] [ 20/366] learning_rate: 0.243517 loss_vfl: 0.912118 loss_bbox: 0.334935 loss_dfl: 0.203300 loss: 1.438478 eta: 2 days, 0:34:39 batch_cost: 2.7633 data_cost: 0.0022 ips: 28.9504 images/s [10/15 01:56:06] ppdet.engine INFO: Epoch: [129] [ 40/366] learning_rate: 0.243405 loss_vfl: 0.909044 loss_bbox: 0.323926 loss_dfl: 0.192398 loss: 1.420521 eta: 2 days, 0:33:41 batch_cost: 2.7168 data_cost: 0.0017 ips: 29.4467 images/s [10/15 01:57:03] ppdet.engine INFO: Epoch: [129] [ 60/366] learning_rate: 0.243294 loss_vfl: 0.902045 loss_bbox: 0.330816 loss_dfl: 0.194576 loss: 1.436389 eta: 2 days, 0:32:43 batch_cost: 2.6949 data_cost: 0.0016 ips: 29.6861 images/s [10/15 01:58:02] ppdet.engine INFO: Epoch: [129] [ 80/366] learning_rate: 0.243182 loss_vfl: 0.896267 loss_bbox: 0.323998 loss_dfl: 0.196135 loss: 1.424007 eta: 2 days, 0:31:47 batch_cost: 2.7851 data_cost: 0.0016 ips: 28.7248 images/s [10/15 01:59:00] ppdet.engine INFO: Epoch: [129] [100/366] learning_rate: 0.243070 loss_vfl: 0.915357 loss_bbox: 0.319704 loss_dfl: 0.201989 loss: 1.430744 eta: 2 days, 0:30:50 batch_cost: 2.7553 data_cost: 0.0017 ips: 29.0353 images/s [10/15 01:59:59] ppdet.engine INFO: Epoch: [129] [120/366] learning_rate: 0.242958 loss_vfl: 0.905650 loss_bbox: 0.317593 loss_dfl: 0.188412 loss: 1.420805 eta: 2 days, 0:29:55 batch_cost: 2.8285 data_cost: 0.0017 ips: 28.2840 images/s [10/15 02:00:58] ppdet.engine INFO: Epoch: [129] [140/366] learning_rate: 0.242846 loss_vfl: 0.914477 loss_bbox: 0.316343 loss_dfl: 0.190594 loss: 1.433410 eta: 2 days, 0:28:58 batch_cost: 2.7757 data_cost: 0.0018 ips: 28.8213 images/s [10/15 02:01:57] ppdet.engine INFO: Epoch: [129] [160/366] learning_rate: 0.242735 loss_vfl: 0.915379 loss_bbox: 0.309000 loss_dfl: 0.194521 loss: 1.436898 eta: 2 days, 0:28:02 batch_cost: 2.7693 data_cost: 0.0017 ips: 28.8879 images/s [10/15 02:02:55] ppdet.engine INFO: Epoch: [129] [180/366] learning_rate: 0.242623 loss_vfl: 0.897004 loss_bbox: 0.318546 loss_dfl: 0.197186 loss: 1.416836 eta: 2 days, 0:27:06 batch_cost: 2.7850 data_cost: 0.0016 ips: 28.7256 images/s [10/15 02:03:54] ppdet.engine INFO: Epoch: [129] [200/366] learning_rate: 0.242511 loss_vfl: 0.921481 loss_bbox: 0.321648 loss_dfl: 0.196906 loss: 1.441775 eta: 2 days, 0:26:09 batch_cost: 2.7845 data_cost: 0.0017 ips: 28.7303 images/s [10/15 02:04:52] ppdet.engine INFO: Epoch: [129] [220/366] learning_rate: 0.242399 loss_vfl: 0.912848 loss_bbox: 0.322238 loss_dfl: 0.196294 loss: 1.444088 eta: 2 days, 0:25:13 batch_cost: 2.7689 data_cost: 0.0016 ips: 28.8919 images/s [10/15 02:05:53] ppdet.engine INFO: Epoch: [129] [240/366] learning_rate: 0.242287 loss_vfl: 0.906840 loss_bbox: 0.327199 loss_dfl: 0.199880 loss: 1.447341 eta: 2 days, 0:24:19 batch_cost: 2.8696 data_cost: 0.0017 ips: 27.8780 images/s [10/15 02:06:52] ppdet.engine INFO: Epoch: [129] [260/366] learning_rate: 0.242175 loss_vfl: 0.902254 loss_bbox: 0.339904 loss_dfl: 0.205404 loss: 1.428478 eta: 2 days, 0:23:23 batch_cost: 2.8012 data_cost: 0.0028 ips: 28.5587 images/s [10/15 02:07:51] ppdet.engine INFO: Epoch: [129] [280/366] learning_rate: 0.242064 loss_vfl: 0.915110 loss_bbox: 0.328205 loss_dfl: 0.197531 loss: 1.446189 eta: 2 days, 0:22:27 batch_cost: 2.8025 data_cost: 0.0016 ips: 28.5455 images/s [10/15 02:08:51] ppdet.engine INFO: Epoch: [129] [300/366] learning_rate: 0.241952 loss_vfl: 0.895070 loss_bbox: 0.329983 loss_dfl: 0.201035 loss: 1.432413 eta: 2 days, 0:21:33 batch_cost: 2.8654 data_cost: 0.0016 ips: 27.9191 images/s [10/15 02:09:51] ppdet.engine INFO: Epoch: [129] [320/366] learning_rate: 0.241840 loss_vfl: 0.927488 loss_bbox: 0.329799 loss_dfl: 0.202424 loss: 1.455120 eta: 2 days, 0:20:38 batch_cost: 2.8286 data_cost: 0.0016 ips: 28.2824 images/s [10/15 02:10:48] ppdet.engine INFO: Epoch: [129] [340/366] learning_rate: 0.241728 loss_vfl: 0.927645 loss_bbox: 0.320163 loss_dfl: 0.195871 loss: 1.426423 eta: 2 days, 0:19:40 batch_cost: 2.7069 data_cost: 0.0016 ips: 29.5544 images/s [10/15 02:11:41] ppdet.engine INFO: Epoch: [129] [360/366] learning_rate: 0.241616 loss_vfl: 0.917361 loss_bbox: 0.318085 loss_dfl: 0.194770 loss: 1.435319 eta: 2 days, 0:18:36 batch_cost: 2.4942 data_cost: 0.0016 ips: 32.0739 images/s [10/15 02:11:57] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 02:11:58] ppdet.engine INFO: Eval iter: 0 [10/15 02:12:37] ppdet.engine INFO: Eval iter: 100 [10/15 02:13:01] ppdet.engine INFO: Eval iter: 200 [10/15 02:13:26] ppdet.engine INFO: Eval iter: 300 [10/15 02:13:49] ppdet.engine INFO: Eval iter: 400 [10/15 02:14:14] ppdet.engine INFO: Eval iter: 500 [10/15 02:14:37] ppdet.engine INFO: Eval iter: 600 [10/15 02:14:59] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 02:14:59] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.83s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.47s). Accumulating evaluation results... DONE (t=17.32s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.285 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.427 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.097 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.295 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.468 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.266 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.421 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.448 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.180 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.494 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.701 [10/15 02:17:02] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.83402463706954 [10/15 02:17:02] ppdet.engine INFO: Best test bbox ap is 0.286. [10/15 02:17:04] ppdet.engine INFO: Epoch: [130] [ 0/366] learning_rate: 0.241582 loss_vfl: 0.914414 loss_bbox: 0.325143 loss_dfl: 0.202293 loss: 1.445807 eta: 2 days, 0:18:16 batch_cost: 2.3654 data_cost: 0.0016 ips: 33.8212 images/s [10/15 02:18:04] ppdet.engine INFO: Epoch: [130] [ 20/366] learning_rate: 0.241470 loss_vfl: 0.909788 loss_bbox: 0.309914 loss_dfl: 0.196103 loss: 1.417361 eta: 2 days, 0:17:22 batch_cost: 2.8549 data_cost: 0.0018 ips: 28.0220 images/s [10/15 02:19:02] ppdet.engine INFO: Epoch: [130] [ 40/366] learning_rate: 0.241358 loss_vfl: 0.904414 loss_bbox: 0.344007 loss_dfl: 0.207719 loss: 1.447407 eta: 2 days, 0:16:25 batch_cost: 2.7547 data_cost: 0.0018 ips: 29.0408 images/s [10/15 02:20:00] ppdet.engine INFO: Epoch: [130] [ 60/366] learning_rate: 0.241246 loss_vfl: 0.917029 loss_bbox: 0.344568 loss_dfl: 0.212401 loss: 1.465179 eta: 2 days, 0:15:28 batch_cost: 2.7530 data_cost: 0.0017 ips: 29.0591 images/s [10/15 02:20:57] ppdet.engine INFO: Epoch: [130] [ 80/366] learning_rate: 0.241134 loss_vfl: 0.917870 loss_bbox: 0.315947 loss_dfl: 0.201291 loss: 1.429384 eta: 2 days, 0:14:29 batch_cost: 2.6763 data_cost: 0.0017 ips: 29.8922 images/s [10/15 02:21:54] ppdet.engine INFO: Epoch: [130] [100/366] learning_rate: 0.241022 loss_vfl: 0.912621 loss_bbox: 0.314718 loss_dfl: 0.197963 loss: 1.434105 eta: 2 days, 0:13:31 batch_cost: 2.7335 data_cost: 0.0016 ips: 29.2667 images/s [10/15 02:22:53] ppdet.engine INFO: Epoch: [130] [120/366] learning_rate: 0.240910 loss_vfl: 0.895842 loss_bbox: 0.319039 loss_dfl: 0.197264 loss: 1.397912 eta: 2 days, 0:12:35 batch_cost: 2.7803 data_cost: 0.0016 ips: 28.7737 images/s [10/15 02:23:51] ppdet.engine INFO: Epoch: [130] [140/366] learning_rate: 0.240798 loss_vfl: 0.914328 loss_bbox: 0.320908 loss_dfl: 0.200982 loss: 1.426310 eta: 2 days, 0:11:38 batch_cost: 2.7527 data_cost: 0.0017 ips: 29.0624 images/s [10/15 02:24:48] ppdet.engine INFO: Epoch: [130] [160/366] learning_rate: 0.240686 loss_vfl: 0.926267 loss_bbox: 0.318915 loss_dfl: 0.195266 loss: 1.428837 eta: 2 days, 0:10:40 batch_cost: 2.7340 data_cost: 0.0017 ips: 29.2611 images/s [10/15 02:25:47] ppdet.engine INFO: Epoch: [130] [180/366] learning_rate: 0.240574 loss_vfl: 0.913609 loss_bbox: 0.301417 loss_dfl: 0.192236 loss: 1.414908 eta: 2 days, 0:09:44 batch_cost: 2.7742 data_cost: 0.0016 ips: 28.8372 images/s [10/15 02:26:45] ppdet.engine INFO: Epoch: [130] [200/366] learning_rate: 0.240462 loss_vfl: 0.918573 loss_bbox: 0.310951 loss_dfl: 0.192352 loss: 1.406671 eta: 2 days, 0:08:47 batch_cost: 2.7497 data_cost: 0.0016 ips: 29.0945 images/s [10/15 02:27:43] ppdet.engine INFO: Epoch: [130] [220/366] learning_rate: 0.240350 loss_vfl: 0.912545 loss_bbox: 0.330452 loss_dfl: 0.201357 loss: 1.442788 eta: 2 days, 0:07:49 batch_cost: 2.7239 data_cost: 0.0016 ips: 29.3699 images/s [10/15 02:28:41] ppdet.engine INFO: Epoch: [130] [240/366] learning_rate: 0.240238 loss_vfl: 0.913235 loss_bbox: 0.331044 loss_dfl: 0.204673 loss: 1.456083 eta: 2 days, 0:06:53 batch_cost: 2.7788 data_cost: 0.0016 ips: 28.7897 images/s [10/15 02:29:39] ppdet.engine INFO: Epoch: [130] [260/366] learning_rate: 0.240126 loss_vfl: 0.921062 loss_bbox: 0.317348 loss_dfl: 0.199378 loss: 1.447345 eta: 2 days, 0:05:56 batch_cost: 2.7391 data_cost: 0.0017 ips: 29.2071 images/s [10/15 02:30:38] ppdet.engine INFO: Epoch: [130] [280/366] learning_rate: 0.240014 loss_vfl: 0.927572 loss_bbox: 0.313661 loss_dfl: 0.193628 loss: 1.427928 eta: 2 days, 0:05:00 batch_cost: 2.8045 data_cost: 0.0017 ips: 28.5254 images/s [10/15 02:31:35] ppdet.engine INFO: Epoch: [130] [300/366] learning_rate: 0.239902 loss_vfl: 0.916071 loss_bbox: 0.343276 loss_dfl: 0.200187 loss: 1.460203 eta: 2 days, 0:04:02 batch_cost: 2.7138 data_cost: 0.0016 ips: 29.4785 images/s [10/15 02:32:32] ppdet.engine INFO: Epoch: [130] [320/366] learning_rate: 0.239789 loss_vfl: 0.914939 loss_bbox: 0.330587 loss_dfl: 0.197296 loss: 1.424217 eta: 2 days, 0:03:03 batch_cost: 2.6954 data_cost: 0.0016 ips: 29.6800 images/s [10/15 02:33:29] ppdet.engine INFO: Epoch: [130] [340/366] learning_rate: 0.239677 loss_vfl: 0.915486 loss_bbox: 0.331339 loss_dfl: 0.197009 loss: 1.444538 eta: 2 days, 0:02:06 batch_cost: 2.7303 data_cost: 0.0018 ips: 29.3011 images/s [10/15 02:34:23] ppdet.engine INFO: Epoch: [130] [360/366] learning_rate: 0.239565 loss_vfl: 0.898928 loss_bbox: 0.313313 loss_dfl: 0.190672 loss: 1.401760 eta: 2 days, 0:01:04 batch_cost: 2.5455 data_cost: 0.0016 ips: 31.4279 images/s [10/15 02:35:01] ppdet.engine INFO: Epoch: [131] [ 0/366] learning_rate: 0.239531 loss_vfl: 0.912337 loss_bbox: 0.321970 loss_dfl: 0.194994 loss: 1.423115 eta: 2 days, 0:01:08 batch_cost: 3.3641 data_cost: 0.2943 ips: 23.7806 images/s [10/15 02:35:59] ppdet.engine INFO: Epoch: [131] [ 20/366] learning_rate: 0.239419 loss_vfl: 0.908395 loss_bbox: 0.308815 loss_dfl: 0.190606 loss: 1.405640 eta: 2 days, 0:00:12 batch_cost: 2.7806 data_cost: 0.0017 ips: 28.7705 images/s [10/15 02:36:58] ppdet.engine INFO: Epoch: [131] [ 40/366] learning_rate: 0.239307 loss_vfl: 0.925834 loss_bbox: 0.312289 loss_dfl: 0.190877 loss: 1.416795 eta: 1 day, 23:59:16 batch_cost: 2.7901 data_cost: 0.0016 ips: 28.6733 images/s [10/15 02:37:55] ppdet.engine INFO: Epoch: [131] [ 60/366] learning_rate: 0.239195 loss_vfl: 0.910578 loss_bbox: 0.319484 loss_dfl: 0.191561 loss: 1.410820 eta: 1 day, 23:58:18 batch_cost: 2.7159 data_cost: 0.0024 ips: 29.4565 images/s [10/15 02:38:53] ppdet.engine INFO: Epoch: [131] [ 80/366] learning_rate: 0.239083 loss_vfl: 0.904717 loss_bbox: 0.321644 loss_dfl: 0.198168 loss: 1.418154 eta: 1 day, 23:57:19 batch_cost: 2.6926 data_cost: 0.0016 ips: 29.7116 images/s [10/15 02:39:51] ppdet.engine INFO: Epoch: [131] [100/366] learning_rate: 0.238970 loss_vfl: 0.925782 loss_bbox: 0.319603 loss_dfl: 0.200116 loss: 1.449382 eta: 1 day, 23:56:23 batch_cost: 2.7627 data_cost: 0.0016 ips: 28.9570 images/s [10/15 02:40:48] ppdet.engine INFO: Epoch: [131] [120/366] learning_rate: 0.238858 loss_vfl: 0.923319 loss_bbox: 0.314033 loss_dfl: 0.200058 loss: 1.434121 eta: 1 day, 23:55:24 batch_cost: 2.6957 data_cost: 0.0027 ips: 29.6766 images/s [10/15 02:41:46] ppdet.engine INFO: Epoch: [131] [140/366] learning_rate: 0.238746 loss_vfl: 0.902759 loss_bbox: 0.332327 loss_dfl: 0.202373 loss: 1.425216 eta: 1 day, 23:54:27 batch_cost: 2.7388 data_cost: 0.0017 ips: 29.2095 images/s [10/15 02:42:43] ppdet.engine INFO: Epoch: [131] [160/366] learning_rate: 0.238634 loss_vfl: 0.921544 loss_bbox: 0.306307 loss_dfl: 0.194276 loss: 1.420443 eta: 1 day, 23:53:29 batch_cost: 2.7077 data_cost: 0.0017 ips: 29.5457 images/s [10/15 02:43:40] ppdet.engine INFO: Epoch: [131] [180/366] learning_rate: 0.238521 loss_vfl: 0.909810 loss_bbox: 0.330643 loss_dfl: 0.205980 loss: 1.455062 eta: 1 day, 23:52:30 batch_cost: 2.6858 data_cost: 0.0017 ips: 29.7860 images/s [10/15 02:44:36] ppdet.engine INFO: Epoch: [131] [200/366] learning_rate: 0.238409 loss_vfl: 0.905391 loss_bbox: 0.316777 loss_dfl: 0.192825 loss: 1.431415 eta: 1 day, 23:51:32 batch_cost: 2.6921 data_cost: 0.0018 ips: 29.7167 images/s [10/15 02:45:34] ppdet.engine INFO: Epoch: [131] [220/366] learning_rate: 0.238297 loss_vfl: 0.918069 loss_bbox: 0.297723 loss_dfl: 0.186010 loss: 1.408709 eta: 1 day, 23:50:35 batch_cost: 2.7600 data_cost: 0.0016 ips: 28.9851 images/s [10/15 02:46:34] ppdet.engine INFO: Epoch: [131] [240/366] learning_rate: 0.238184 loss_vfl: 0.916151 loss_bbox: 0.320979 loss_dfl: 0.202222 loss: 1.436484 eta: 1 day, 23:49:40 batch_cost: 2.8407 data_cost: 0.0016 ips: 28.1623 images/s [10/15 02:47:33] ppdet.engine INFO: Epoch: [131] [260/366] learning_rate: 0.238072 loss_vfl: 0.907425 loss_bbox: 0.322698 loss_dfl: 0.195254 loss: 1.431804 eta: 1 day, 23:48:44 batch_cost: 2.7946 data_cost: 0.0017 ips: 28.6262 images/s [10/15 02:48:31] ppdet.engine INFO: Epoch: [131] [280/366] learning_rate: 0.237960 loss_vfl: 0.925544 loss_bbox: 0.308283 loss_dfl: 0.190801 loss: 1.426963 eta: 1 day, 23:47:47 batch_cost: 2.7491 data_cost: 0.0016 ips: 29.0999 images/s [10/15 02:49:31] ppdet.engine INFO: Epoch: [131] [300/366] learning_rate: 0.237847 loss_vfl: 0.917074 loss_bbox: 0.308273 loss_dfl: 0.192439 loss: 1.435475 eta: 1 day, 23:46:52 batch_cost: 2.8161 data_cost: 0.0016 ips: 28.4079 images/s [10/15 02:50:30] ppdet.engine INFO: Epoch: [131] [320/366] learning_rate: 0.237735 loss_vfl: 0.911407 loss_bbox: 0.330820 loss_dfl: 0.202497 loss: 1.440733 eta: 1 day, 23:45:56 batch_cost: 2.7796 data_cost: 0.0016 ips: 28.7808 images/s [10/15 02:51:29] ppdet.engine INFO: Epoch: [131] [340/366] learning_rate: 0.237622 loss_vfl: 0.914811 loss_bbox: 0.315232 loss_dfl: 0.197570 loss: 1.422338 eta: 1 day, 23:45:00 batch_cost: 2.8171 data_cost: 0.0016 ips: 28.3984 images/s [10/15 02:52:22] ppdet.engine INFO: Epoch: [131] [360/366] learning_rate: 0.237510 loss_vfl: 0.899120 loss_bbox: 0.312712 loss_dfl: 0.194372 loss: 1.422738 eta: 1 day, 23:43:56 batch_cost: 2.4743 data_cost: 0.0016 ips: 32.3325 images/s [10/15 02:52:58] ppdet.engine INFO: Epoch: [132] [ 0/366] learning_rate: 0.237476 loss_vfl: 0.909300 loss_bbox: 0.309914 loss_dfl: 0.198605 loss: 1.431794 eta: 1 day, 23:43:59 batch_cost: 3.2575 data_cost: 0.3752 ips: 24.5584 images/s [10/15 02:53:56] ppdet.engine INFO: Epoch: [132] [ 20/366] learning_rate: 0.237364 loss_vfl: 0.912995 loss_bbox: 0.301637 loss_dfl: 0.191589 loss: 1.424006 eta: 1 day, 23:43:02 batch_cost: 2.7649 data_cost: 0.0017 ips: 28.9346 images/s [10/15 02:54:55] ppdet.engine INFO: Epoch: [132] [ 40/366] learning_rate: 0.237251 loss_vfl: 0.927936 loss_bbox: 0.314094 loss_dfl: 0.195133 loss: 1.448064 eta: 1 day, 23:42:05 batch_cost: 2.7569 data_cost: 0.0017 ips: 29.0183 images/s [10/15 02:55:52] ppdet.engine INFO: Epoch: [132] [ 60/366] learning_rate: 0.237139 loss_vfl: 0.908324 loss_bbox: 0.320548 loss_dfl: 0.196426 loss: 1.434624 eta: 1 day, 23:41:08 batch_cost: 2.7444 data_cost: 0.0017 ips: 29.1498 images/s [10/15 02:56:49] ppdet.engine INFO: Epoch: [132] [ 80/366] learning_rate: 0.237026 loss_vfl: 0.916694 loss_bbox: 0.325206 loss_dfl: 0.192698 loss: 1.438760 eta: 1 day, 23:40:10 batch_cost: 2.6967 data_cost: 0.0016 ips: 29.6663 images/s [10/15 02:57:47] ppdet.engine INFO: Epoch: [132] [100/366] learning_rate: 0.236914 loss_vfl: 0.914632 loss_bbox: 0.305865 loss_dfl: 0.189513 loss: 1.429149 eta: 1 day, 23:39:12 batch_cost: 2.7172 data_cost: 0.0017 ips: 29.4421 images/s [10/15 02:58:44] ppdet.engine INFO: Epoch: [132] [120/366] learning_rate: 0.236802 loss_vfl: 0.917638 loss_bbox: 0.323007 loss_dfl: 0.201217 loss: 1.439698 eta: 1 day, 23:38:14 batch_cost: 2.6951 data_cost: 0.0016 ips: 29.6840 images/s [10/15 02:59:42] ppdet.engine INFO: Epoch: [132] [140/366] learning_rate: 0.236689 loss_vfl: 0.925276 loss_bbox: 0.316901 loss_dfl: 0.197591 loss: 1.437210 eta: 1 day, 23:37:17 batch_cost: 2.7769 data_cost: 0.0016 ips: 28.8091 images/s [10/15 03:00:39] ppdet.engine INFO: Epoch: [132] [160/366] learning_rate: 0.236577 loss_vfl: 0.905240 loss_bbox: 0.331919 loss_dfl: 0.199258 loss: 1.435345 eta: 1 day, 23:36:20 batch_cost: 2.7245 data_cost: 0.0017 ips: 29.3636 images/s [10/15 03:01:37] ppdet.engine INFO: Epoch: [132] [180/366] learning_rate: 0.236464 loss_vfl: 0.901374 loss_bbox: 0.334471 loss_dfl: 0.196103 loss: 1.439802 eta: 1 day, 23:35:23 batch_cost: 2.7483 data_cost: 0.0022 ips: 29.1092 images/s [10/15 03:02:35] ppdet.engine INFO: Epoch: [132] [200/366] learning_rate: 0.236351 loss_vfl: 0.918382 loss_bbox: 0.318043 loss_dfl: 0.190831 loss: 1.437318 eta: 1 day, 23:34:25 batch_cost: 2.7247 data_cost: 0.0017 ips: 29.3608 images/s [10/15 03:03:33] ppdet.engine INFO: Epoch: [132] [220/366] learning_rate: 0.236239 loss_vfl: 0.914739 loss_bbox: 0.322287 loss_dfl: 0.194488 loss: 1.431160 eta: 1 day, 23:33:28 batch_cost: 2.7609 data_cost: 0.0017 ips: 28.9761 images/s [10/15 03:04:31] ppdet.engine INFO: Epoch: [132] [240/366] learning_rate: 0.236126 loss_vfl: 0.922297 loss_bbox: 0.328974 loss_dfl: 0.200638 loss: 1.446164 eta: 1 day, 23:32:31 batch_cost: 2.7396 data_cost: 0.0016 ips: 29.2008 images/s [10/15 03:05:29] ppdet.engine INFO: Epoch: [132] [260/366] learning_rate: 0.236014 loss_vfl: 0.926672 loss_bbox: 0.313413 loss_dfl: 0.192333 loss: 1.421049 eta: 1 day, 23:31:34 batch_cost: 2.7411 data_cost: 0.0016 ips: 29.1853 images/s [10/15 03:06:28] ppdet.engine INFO: Epoch: [132] [280/366] learning_rate: 0.235901 loss_vfl: 0.914907 loss_bbox: 0.326793 loss_dfl: 0.196620 loss: 1.440733 eta: 1 day, 23:30:38 batch_cost: 2.8040 data_cost: 0.0016 ips: 28.5310 images/s [10/15 03:07:26] ppdet.engine INFO: Epoch: [132] [300/366] learning_rate: 0.235789 loss_vfl: 0.920103 loss_bbox: 0.318575 loss_dfl: 0.186709 loss: 1.422498 eta: 1 day, 23:29:41 batch_cost: 2.7511 data_cost: 0.0016 ips: 29.0796 images/s [10/15 03:08:23] ppdet.engine INFO: Epoch: [132] [320/366] learning_rate: 0.235676 loss_vfl: 0.905780 loss_bbox: 0.324552 loss_dfl: 0.201229 loss: 1.443898 eta: 1 day, 23:28:43 batch_cost: 2.7089 data_cost: 0.0016 ips: 29.5324 images/s [10/15 03:09:22] ppdet.engine INFO: Epoch: [132] [340/366] learning_rate: 0.235563 loss_vfl: 0.908481 loss_bbox: 0.316411 loss_dfl: 0.197796 loss: 1.425806 eta: 1 day, 23:27:47 batch_cost: 2.7756 data_cost: 0.0017 ips: 28.8222 images/s [10/15 03:10:15] ppdet.engine INFO: Epoch: [132] [360/366] learning_rate: 0.235451 loss_vfl: 0.900610 loss_bbox: 0.324715 loss_dfl: 0.193868 loss: 1.420602 eta: 1 day, 23:26:44 batch_cost: 2.5257 data_cost: 0.0016 ips: 31.6743 images/s [10/15 03:10:52] ppdet.engine INFO: Epoch: [133] [ 0/366] learning_rate: 0.235417 loss_vfl: 0.915989 loss_bbox: 0.323818 loss_dfl: 0.194145 loss: 1.422427 eta: 1 day, 23:26:47 batch_cost: 3.3481 data_cost: 0.3272 ips: 23.8938 images/s [10/15 03:11:53] ppdet.engine INFO: Epoch: [133] [ 20/366] learning_rate: 0.235304 loss_vfl: 0.900215 loss_bbox: 0.307368 loss_dfl: 0.190418 loss: 1.393119 eta: 1 day, 23:25:54 batch_cost: 2.8876 data_cost: 0.0017 ips: 27.7044 images/s [10/15 03:12:52] ppdet.engine INFO: Epoch: [133] [ 40/366] learning_rate: 0.235192 loss_vfl: 0.915323 loss_bbox: 0.313286 loss_dfl: 0.191318 loss: 1.425481 eta: 1 day, 23:24:58 batch_cost: 2.7965 data_cost: 0.0017 ips: 28.6067 images/s [10/15 03:13:51] ppdet.engine INFO: Epoch: [133] [ 60/366] learning_rate: 0.235079 loss_vfl: 0.901548 loss_bbox: 0.312523 loss_dfl: 0.188779 loss: 1.416709 eta: 1 day, 23:24:02 batch_cost: 2.7868 data_cost: 0.0017 ips: 28.7068 images/s [10/15 03:14:49] ppdet.engine INFO: Epoch: [133] [ 80/366] learning_rate: 0.234966 loss_vfl: 0.900039 loss_bbox: 0.314942 loss_dfl: 0.197082 loss: 1.417096 eta: 1 day, 23:23:05 batch_cost: 2.7387 data_cost: 0.0017 ips: 29.2114 images/s [10/15 03:15:47] ppdet.engine INFO: Epoch: [133] [100/366] learning_rate: 0.234854 loss_vfl: 0.908079 loss_bbox: 0.331057 loss_dfl: 0.196228 loss: 1.432632 eta: 1 day, 23:22:08 batch_cost: 2.7438 data_cost: 0.0016 ips: 29.1564 images/s [10/15 03:16:44] ppdet.engine INFO: Epoch: [133] [120/366] learning_rate: 0.234741 loss_vfl: 0.924249 loss_bbox: 0.319779 loss_dfl: 0.200855 loss: 1.425198 eta: 1 day, 23:21:09 batch_cost: 2.6987 data_cost: 0.0016 ips: 29.6442 images/s [10/15 03:17:42] ppdet.engine INFO: Epoch: [133] [140/366] learning_rate: 0.234628 loss_vfl: 0.926399 loss_bbox: 0.312654 loss_dfl: 0.195627 loss: 1.430692 eta: 1 day, 23:20:12 batch_cost: 2.7292 data_cost: 0.0019 ips: 29.3125 images/s [10/15 03:18:40] ppdet.engine INFO: Epoch: [133] [160/366] learning_rate: 0.234515 loss_vfl: 0.913224 loss_bbox: 0.334357 loss_dfl: 0.205781 loss: 1.444970 eta: 1 day, 23:19:15 batch_cost: 2.7565 data_cost: 0.0017 ips: 29.0223 images/s [10/15 03:19:39] ppdet.engine INFO: Epoch: [133] [180/366] learning_rate: 0.234403 loss_vfl: 0.914924 loss_bbox: 0.311420 loss_dfl: 0.189346 loss: 1.418077 eta: 1 day, 23:18:20 batch_cost: 2.8333 data_cost: 0.0016 ips: 28.2360 images/s [10/15 03:20:38] ppdet.engine INFO: Epoch: [133] [200/366] learning_rate: 0.234290 loss_vfl: 0.898605 loss_bbox: 0.307299 loss_dfl: 0.189814 loss: 1.411665 eta: 1 day, 23:17:23 batch_cost: 2.7624 data_cost: 0.0016 ips: 28.9603 images/s [10/15 03:21:37] ppdet.engine INFO: Epoch: [133] [220/366] learning_rate: 0.234177 loss_vfl: 0.901712 loss_bbox: 0.329931 loss_dfl: 0.200602 loss: 1.435286 eta: 1 day, 23:16:27 batch_cost: 2.7677 data_cost: 0.0016 ips: 28.9051 images/s [10/15 03:22:37] ppdet.engine INFO: Epoch: [133] [240/366] learning_rate: 0.234064 loss_vfl: 0.919239 loss_bbox: 0.336918 loss_dfl: 0.203816 loss: 1.454508 eta: 1 day, 23:15:32 batch_cost: 2.8352 data_cost: 0.0016 ips: 28.2166 images/s [10/15 03:23:35] ppdet.engine INFO: Epoch: [133] [260/366] learning_rate: 0.233952 loss_vfl: 0.936545 loss_bbox: 0.320142 loss_dfl: 0.193445 loss: 1.448754 eta: 1 day, 23:14:36 batch_cost: 2.8022 data_cost: 0.0017 ips: 28.5493 images/s [10/15 03:24:33] ppdet.engine INFO: Epoch: [133] [280/366] learning_rate: 0.233839 loss_vfl: 0.918990 loss_bbox: 0.317465 loss_dfl: 0.190784 loss: 1.424486 eta: 1 day, 23:13:39 batch_cost: 2.7416 data_cost: 0.0016 ips: 29.1796 images/s [10/15 03:25:32] ppdet.engine INFO: Epoch: [133] [300/366] learning_rate: 0.233726 loss_vfl: 0.925991 loss_bbox: 0.303991 loss_dfl: 0.194133 loss: 1.406700 eta: 1 day, 23:12:43 batch_cost: 2.7931 data_cost: 0.0017 ips: 28.6424 images/s [10/15 03:26:32] ppdet.engine INFO: Epoch: [133] [320/366] learning_rate: 0.233613 loss_vfl: 0.907441 loss_bbox: 0.311645 loss_dfl: 0.192961 loss: 1.416066 eta: 1 day, 23:11:47 batch_cost: 2.7826 data_cost: 0.0017 ips: 28.7496 images/s [10/15 03:27:30] ppdet.engine INFO: Epoch: [133] [340/366] learning_rate: 0.233500 loss_vfl: 0.903879 loss_bbox: 0.337131 loss_dfl: 0.198562 loss: 1.441316 eta: 1 day, 23:10:51 batch_cost: 2.7801 data_cost: 0.0017 ips: 28.7756 images/s [10/15 03:28:24] ppdet.engine INFO: Epoch: [133] [360/366] learning_rate: 0.233388 loss_vfl: 0.908925 loss_bbox: 0.337716 loss_dfl: 0.201875 loss: 1.441511 eta: 1 day, 23:09:48 batch_cost: 2.5426 data_cost: 0.0016 ips: 31.4637 images/s [10/15 03:29:02] ppdet.engine INFO: Epoch: [134] [ 0/366] learning_rate: 0.233354 loss_vfl: 0.911433 loss_bbox: 0.324486 loss_dfl: 0.199085 loss: 1.441511 eta: 1 day, 23:09:52 batch_cost: 3.3243 data_cost: 0.5047 ips: 24.0653 images/s [10/15 03:30:00] ppdet.engine INFO: Epoch: [134] [ 20/366] learning_rate: 0.233241 loss_vfl: 0.914647 loss_bbox: 0.321923 loss_dfl: 0.193366 loss: 1.418972 eta: 1 day, 23:08:55 batch_cost: 2.7477 data_cost: 0.0018 ips: 29.1155 images/s [10/15 03:30:57] ppdet.engine INFO: Epoch: [134] [ 40/366] learning_rate: 0.233128 loss_vfl: 0.909315 loss_bbox: 0.324708 loss_dfl: 0.199566 loss: 1.449931 eta: 1 day, 23:07:57 batch_cost: 2.7220 data_cost: 0.0017 ips: 29.3904 images/s [10/15 03:31:54] ppdet.engine INFO: Epoch: [134] [ 60/366] learning_rate: 0.233015 loss_vfl: 0.917092 loss_bbox: 0.323009 loss_dfl: 0.201586 loss: 1.453901 eta: 1 day, 23:06:58 batch_cost: 2.6793 data_cost: 0.0016 ips: 29.8587 images/s [10/15 03:32:52] ppdet.engine INFO: Epoch: [134] [ 80/366] learning_rate: 0.232902 loss_vfl: 0.925156 loss_bbox: 0.319209 loss_dfl: 0.189101 loss: 1.427097 eta: 1 day, 23:06:01 batch_cost: 2.7560 data_cost: 0.0016 ips: 29.0276 images/s [10/15 03:33:51] ppdet.engine INFO: Epoch: [134] [100/366] learning_rate: 0.232789 loss_vfl: 0.913389 loss_bbox: 0.327641 loss_dfl: 0.208217 loss: 1.449195 eta: 1 day, 23:05:05 batch_cost: 2.7849 data_cost: 0.0017 ips: 28.7268 images/s [10/15 03:34:48] ppdet.engine INFO: Epoch: [134] [120/366] learning_rate: 0.232676 loss_vfl: 0.904100 loss_bbox: 0.327717 loss_dfl: 0.196065 loss: 1.428094 eta: 1 day, 23:04:08 batch_cost: 2.7386 data_cost: 0.0016 ips: 29.2122 images/s [10/15 03:35:46] ppdet.engine INFO: Epoch: [134] [140/366] learning_rate: 0.232564 loss_vfl: 0.900355 loss_bbox: 0.346901 loss_dfl: 0.205456 loss: 1.442397 eta: 1 day, 23:03:10 batch_cost: 2.7208 data_cost: 0.0016 ips: 29.4031 images/s [10/15 03:36:44] ppdet.engine INFO: Epoch: [134] [160/366] learning_rate: 0.232451 loss_vfl: 0.911415 loss_bbox: 0.326108 loss_dfl: 0.202048 loss: 1.447791 eta: 1 day, 23:02:13 batch_cost: 2.7388 data_cost: 0.0017 ips: 29.2098 images/s [10/15 03:37:40] ppdet.engine INFO: Epoch: [134] [180/366] learning_rate: 0.232338 loss_vfl: 0.909690 loss_bbox: 0.324566 loss_dfl: 0.201021 loss: 1.425106 eta: 1 day, 23:01:14 batch_cost: 2.6823 data_cost: 0.0017 ips: 29.8255 images/s [10/15 03:38:38] ppdet.engine INFO: Epoch: [134] [200/366] learning_rate: 0.232225 loss_vfl: 0.928331 loss_bbox: 0.293028 loss_dfl: 0.190627 loss: 1.423981 eta: 1 day, 23:00:17 batch_cost: 2.7181 data_cost: 0.0016 ips: 29.4318 images/s [10/15 03:39:36] ppdet.engine INFO: Epoch: [134] [220/366] learning_rate: 0.232112 loss_vfl: 0.913782 loss_bbox: 0.324571 loss_dfl: 0.201196 loss: 1.445037 eta: 1 day, 22:59:19 batch_cost: 2.7449 data_cost: 0.0017 ips: 29.1445 images/s [10/15 03:40:32] ppdet.engine INFO: Epoch: [134] [240/366] learning_rate: 0.231999 loss_vfl: 0.922742 loss_bbox: 0.326730 loss_dfl: 0.199633 loss: 1.429935 eta: 1 day, 22:58:21 batch_cost: 2.6978 data_cost: 0.0017 ips: 29.6541 images/s [10/15 03:41:32] ppdet.engine INFO: Epoch: [134] [260/366] learning_rate: 0.231886 loss_vfl: 0.908487 loss_bbox: 0.333537 loss_dfl: 0.202974 loss: 1.436909 eta: 1 day, 22:57:26 batch_cost: 2.8138 data_cost: 0.0017 ips: 28.4316 images/s [10/15 03:42:28] ppdet.engine INFO: Epoch: [134] [280/366] learning_rate: 0.231773 loss_vfl: 0.904099 loss_bbox: 0.330200 loss_dfl: 0.204387 loss: 1.443105 eta: 1 day, 22:56:27 batch_cost: 2.6858 data_cost: 0.0016 ips: 29.7858 images/s [10/15 03:43:26] ppdet.engine INFO: Epoch: [134] [300/366] learning_rate: 0.231660 loss_vfl: 0.920637 loss_bbox: 0.312121 loss_dfl: 0.195586 loss: 1.435643 eta: 1 day, 22:55:29 batch_cost: 2.7137 data_cost: 0.0017 ips: 29.4796 images/s [10/15 03:44:25] ppdet.engine INFO: Epoch: [134] [320/366] learning_rate: 0.231547 loss_vfl: 0.914173 loss_bbox: 0.328015 loss_dfl: 0.195088 loss: 1.430829 eta: 1 day, 22:54:34 batch_cost: 2.8037 data_cost: 0.0016 ips: 28.5336 images/s [10/15 03:45:23] ppdet.engine INFO: Epoch: [134] [340/366] learning_rate: 0.231434 loss_vfl: 0.917211 loss_bbox: 0.298862 loss_dfl: 0.185012 loss: 1.408434 eta: 1 day, 22:53:36 batch_cost: 2.7410 data_cost: 0.0016 ips: 29.1869 images/s [10/15 03:46:15] ppdet.engine INFO: Epoch: [134] [360/366] learning_rate: 0.231321 loss_vfl: 0.912452 loss_bbox: 0.327615 loss_dfl: 0.195158 loss: 1.426470 eta: 1 day, 22:52:33 batch_cost: 2.4895 data_cost: 0.0016 ips: 32.1350 images/s [10/15 03:46:55] ppdet.engine INFO: Epoch: [135] [ 0/366] learning_rate: 0.231287 loss_vfl: 0.910216 loss_bbox: 0.302393 loss_dfl: 0.185096 loss: 1.398809 eta: 1 day, 22:52:38 batch_cost: 3.4217 data_cost: 0.6470 ips: 23.3801 images/s [10/15 03:47:53] ppdet.engine INFO: Epoch: [135] [ 20/366] learning_rate: 0.231174 loss_vfl: 0.905363 loss_bbox: 0.314098 loss_dfl: 0.196062 loss: 1.418474 eta: 1 day, 22:51:42 batch_cost: 2.7838 data_cost: 0.0018 ips: 28.7380 images/s [10/15 03:48:51] ppdet.engine INFO: Epoch: [135] [ 40/366] learning_rate: 0.231061 loss_vfl: 0.911624 loss_bbox: 0.319789 loss_dfl: 0.197789 loss: 1.422614 eta: 1 day, 22:50:44 batch_cost: 2.7095 data_cost: 0.0026 ips: 29.5258 images/s [10/15 03:49:48] ppdet.engine INFO: Epoch: [135] [ 60/366] learning_rate: 0.230948 loss_vfl: 0.900367 loss_bbox: 0.324434 loss_dfl: 0.195223 loss: 1.431847 eta: 1 day, 22:49:46 batch_cost: 2.6997 data_cost: 0.0016 ips: 29.6330 images/s [10/15 03:50:45] ppdet.engine INFO: Epoch: [135] [ 80/366] learning_rate: 0.230835 loss_vfl: 0.910546 loss_bbox: 0.313302 loss_dfl: 0.194969 loss: 1.426793 eta: 1 day, 22:48:49 batch_cost: 2.7291 data_cost: 0.0016 ips: 29.3142 images/s [10/15 03:51:42] ppdet.engine INFO: Epoch: [135] [100/366] learning_rate: 0.230722 loss_vfl: 0.895126 loss_bbox: 0.319642 loss_dfl: 0.190374 loss: 1.414074 eta: 1 day, 22:47:50 batch_cost: 2.7029 data_cost: 0.0016 ips: 29.5979 images/s [10/15 03:52:40] ppdet.engine INFO: Epoch: [135] [120/366] learning_rate: 0.230608 loss_vfl: 0.900126 loss_bbox: 0.314951 loss_dfl: 0.191892 loss: 1.407646 eta: 1 day, 22:46:53 batch_cost: 2.7424 data_cost: 0.0016 ips: 29.1718 images/s [10/15 03:53:37] ppdet.engine INFO: Epoch: [135] [140/366] learning_rate: 0.230495 loss_vfl: 0.906540 loss_bbox: 0.310939 loss_dfl: 0.190307 loss: 1.413328 eta: 1 day, 22:45:55 batch_cost: 2.6814 data_cost: 0.0017 ips: 29.8357 images/s [10/15 03:54:33] ppdet.engine INFO: Epoch: [135] [160/366] learning_rate: 0.230382 loss_vfl: 0.919767 loss_bbox: 0.322208 loss_dfl: 0.201986 loss: 1.437762 eta: 1 day, 22:44:56 batch_cost: 2.6872 data_cost: 0.0017 ips: 29.7707 images/s [10/15 03:55:32] ppdet.engine INFO: Epoch: [135] [180/366] learning_rate: 0.230269 loss_vfl: 0.924314 loss_bbox: 0.325474 loss_dfl: 0.200226 loss: 1.441539 eta: 1 day, 22:44:00 batch_cost: 2.7803 data_cost: 0.0017 ips: 28.7741 images/s [10/15 03:56:30] ppdet.engine INFO: Epoch: [135] [200/366] learning_rate: 0.230156 loss_vfl: 0.917008 loss_bbox: 0.329118 loss_dfl: 0.201548 loss: 1.447581 eta: 1 day, 22:43:03 batch_cost: 2.7614 data_cost: 0.0016 ips: 28.9705 images/s [10/15 03:57:29] ppdet.engine INFO: Epoch: [135] [220/366] learning_rate: 0.230043 loss_vfl: 0.922537 loss_bbox: 0.306098 loss_dfl: 0.190035 loss: 1.397568 eta: 1 day, 22:42:07 batch_cost: 2.7954 data_cost: 0.0016 ips: 28.6190 images/s [10/15 03:58:27] ppdet.engine INFO: Epoch: [135] [240/366] learning_rate: 0.229930 loss_vfl: 0.906677 loss_bbox: 0.328138 loss_dfl: 0.197336 loss: 1.417752 eta: 1 day, 22:41:10 batch_cost: 2.7137 data_cost: 0.0016 ips: 29.4797 images/s [10/15 03:59:25] ppdet.engine INFO: Epoch: [135] [260/366] learning_rate: 0.229817 loss_vfl: 0.904583 loss_bbox: 0.309278 loss_dfl: 0.191650 loss: 1.419666 eta: 1 day, 22:40:13 batch_cost: 2.7499 data_cost: 0.0019 ips: 29.0915 images/s [10/15 04:00:22] ppdet.engine INFO: Epoch: [135] [280/366] learning_rate: 0.229703 loss_vfl: 0.910347 loss_bbox: 0.323629 loss_dfl: 0.191377 loss: 1.433458 eta: 1 day, 22:39:14 batch_cost: 2.6979 data_cost: 0.0067 ips: 29.6527 images/s [10/15 04:01:18] ppdet.engine INFO: Epoch: [135] [300/366] learning_rate: 0.229590 loss_vfl: 0.907318 loss_bbox: 0.319250 loss_dfl: 0.197506 loss: 1.422144 eta: 1 day, 22:38:16 batch_cost: 2.6937 data_cost: 0.0016 ips: 29.6986 images/s [10/15 04:02:17] ppdet.engine INFO: Epoch: [135] [320/366] learning_rate: 0.229477 loss_vfl: 0.899992 loss_bbox: 0.334257 loss_dfl: 0.199144 loss: 1.432706 eta: 1 day, 22:37:20 batch_cost: 2.7901 data_cost: 0.0016 ips: 28.6723 images/s [10/15 04:03:16] ppdet.engine INFO: Epoch: [135] [340/366] learning_rate: 0.229364 loss_vfl: 0.910163 loss_bbox: 0.320825 loss_dfl: 0.195650 loss: 1.437347 eta: 1 day, 22:36:25 batch_cost: 2.8225 data_cost: 0.0017 ips: 28.3433 images/s [10/15 04:04:11] ppdet.engine INFO: Epoch: [135] [360/366] learning_rate: 0.229251 loss_vfl: 0.922351 loss_bbox: 0.311478 loss_dfl: 0.188702 loss: 1.426745 eta: 1 day, 22:35:24 batch_cost: 2.5769 data_cost: 0.0016 ips: 31.0450 images/s [10/15 04:04:49] ppdet.engine INFO: Epoch: [136] [ 0/366] learning_rate: 0.229217 loss_vfl: 0.912125 loss_bbox: 0.322911 loss_dfl: 0.191742 loss: 1.431639 eta: 1 day, 22:35:28 batch_cost: 3.4433 data_cost: 0.2835 ips: 23.2335 images/s [10/15 04:05:47] ppdet.engine INFO: Epoch: [136] [ 20/366] learning_rate: 0.229103 loss_vfl: 0.907961 loss_bbox: 0.334770 loss_dfl: 0.204368 loss: 1.450213 eta: 1 day, 22:34:30 batch_cost: 2.7136 data_cost: 0.0017 ips: 29.4807 images/s [10/15 04:06:45] ppdet.engine INFO: Epoch: [136] [ 40/366] learning_rate: 0.228990 loss_vfl: 0.908547 loss_bbox: 0.322049 loss_dfl: 0.199055 loss: 1.415306 eta: 1 day, 22:33:33 batch_cost: 2.7542 data_cost: 0.0017 ips: 29.0469 images/s [10/15 04:07:43] ppdet.engine INFO: Epoch: [136] [ 60/366] learning_rate: 0.228877 loss_vfl: 0.931244 loss_bbox: 0.306716 loss_dfl: 0.194728 loss: 1.436062 eta: 1 day, 22:32:37 batch_cost: 2.7604 data_cost: 0.0017 ips: 28.9812 images/s [10/15 04:08:41] ppdet.engine INFO: Epoch: [136] 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loss_bbox: 0.307211 loss_dfl: 0.194157 loss: 1.424178 eta: 1 day, 22:27:49 batch_cost: 2.7291 data_cost: 0.0016 ips: 29.3136 images/s [10/15 04:13:29] ppdet.engine INFO: Epoch: [136] [180/366] learning_rate: 0.228197 loss_vfl: 0.906209 loss_bbox: 0.320806 loss_dfl: 0.192070 loss: 1.420767 eta: 1 day, 22:26:52 batch_cost: 2.7619 data_cost: 0.0017 ips: 28.9659 images/s [10/15 04:14:27] ppdet.engine INFO: Epoch: [136] [200/366] learning_rate: 0.228084 loss_vfl: 0.905003 loss_bbox: 0.320516 loss_dfl: 0.189477 loss: 1.415616 eta: 1 day, 22:25:55 batch_cost: 2.7508 data_cost: 0.0017 ips: 29.0822 images/s [10/15 04:15:26] ppdet.engine INFO: Epoch: [136] [220/366] learning_rate: 0.227971 loss_vfl: 0.904174 loss_bbox: 0.309095 loss_dfl: 0.194444 loss: 1.425239 eta: 1 day, 22:25:00 batch_cost: 2.8157 data_cost: 0.0016 ips: 28.4116 images/s [10/15 04:16:24] ppdet.engine INFO: Epoch: [136] [240/366] learning_rate: 0.227857 loss_vfl: 0.910933 loss_bbox: 0.324611 loss_dfl: 0.197896 loss: 1.432627 eta: 1 day, 22:24:02 batch_cost: 2.7102 data_cost: 0.0017 ips: 29.5179 images/s [10/15 04:17:21] ppdet.engine INFO: Epoch: [136] [260/366] learning_rate: 0.227744 loss_vfl: 0.910909 loss_bbox: 0.317065 loss_dfl: 0.192736 loss: 1.422042 eta: 1 day, 22:23:04 batch_cost: 2.7120 data_cost: 0.0016 ips: 29.4990 images/s [10/15 04:18:19] ppdet.engine INFO: Epoch: [136] [280/366] learning_rate: 0.227631 loss_vfl: 0.913307 loss_bbox: 0.298702 loss_dfl: 0.187971 loss: 1.412189 eta: 1 day, 22:22:08 batch_cost: 2.7717 data_cost: 0.0016 ips: 28.8633 images/s [10/15 04:19:18] ppdet.engine INFO: Epoch: [136] [300/366] learning_rate: 0.227517 loss_vfl: 0.925779 loss_bbox: 0.314678 loss_dfl: 0.192513 loss: 1.429394 eta: 1 day, 22:21:12 batch_cost: 2.8010 data_cost: 0.0017 ips: 28.5613 images/s [10/15 04:20:17] ppdet.engine INFO: Epoch: [136] [320/366] learning_rate: 0.227404 loss_vfl: 0.918097 loss_bbox: 0.311857 loss_dfl: 0.195121 loss: 1.434052 eta: 1 day, 22:20:16 batch_cost: 2.7975 data_cost: 0.0018 ips: 28.5972 images/s [10/15 04:21:14] ppdet.engine INFO: Epoch: [136] [340/366] learning_rate: 0.227291 loss_vfl: 0.909845 loss_bbox: 0.318334 loss_dfl: 0.198460 loss: 1.429484 eta: 1 day, 22:19:18 batch_cost: 2.6996 data_cost: 0.0017 ips: 29.6339 images/s [10/15 04:22:07] ppdet.engine INFO: Epoch: [136] [360/366] learning_rate: 0.227177 loss_vfl: 0.913911 loss_bbox: 0.331206 loss_dfl: 0.201201 loss: 1.445577 eta: 1 day, 22:18:16 batch_cost: 2.5350 data_cost: 0.0016 ips: 31.5586 images/s [10/15 04:22:43] ppdet.engine INFO: Epoch: [137] [ 0/366] learning_rate: 0.227143 loss_vfl: 0.909753 loss_bbox: 0.330140 loss_dfl: 0.202054 loss: 1.449726 eta: 1 day, 22:18:16 batch_cost: 3.2795 data_cost: 0.3601 ips: 24.3942 images/s [10/15 04:23:42] ppdet.engine INFO: Epoch: [137] [ 20/366] learning_rate: 0.227030 loss_vfl: 0.891302 loss_bbox: 0.308225 loss_dfl: 0.190755 loss: 1.395300 eta: 1 day, 22:17:21 batch_cost: 2.7917 data_cost: 0.0019 ips: 28.6568 images/s [10/15 04:24:40] ppdet.engine INFO: Epoch: [137] [ 40/366] learning_rate: 0.226916 loss_vfl: 0.890424 loss_bbox: 0.333605 loss_dfl: 0.204533 loss: 1.432670 eta: 1 day, 22:16:24 batch_cost: 2.7507 data_cost: 0.0017 ips: 29.0839 images/s [10/15 04:25:39] ppdet.engine INFO: Epoch: [137] [ 60/366] learning_rate: 0.226803 loss_vfl: 0.911131 loss_bbox: 0.316999 loss_dfl: 0.200395 loss: 1.429677 eta: 1 day, 22:15:28 batch_cost: 2.7850 data_cost: 0.0022 ips: 28.7251 images/s [10/15 04:26:37] ppdet.engine INFO: Epoch: [137] [ 80/366] learning_rate: 0.226689 loss_vfl: 0.903123 loss_bbox: 0.315637 loss_dfl: 0.200018 loss: 1.428072 eta: 1 day, 22:14:31 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0664 images/s [10/15 04:27:34] ppdet.engine INFO: Epoch: [137] [100/366] learning_rate: 0.226576 loss_vfl: 0.909531 loss_bbox: 0.341418 loss_dfl: 0.212009 loss: 1.457228 eta: 1 day, 22:13:33 batch_cost: 2.7145 data_cost: 0.0016 ips: 29.4717 images/s [10/15 04:28:32] ppdet.engine INFO: Epoch: [137] [120/366] learning_rate: 0.226463 loss_vfl: 0.914558 loss_bbox: 0.320781 loss_dfl: 0.195671 loss: 1.430581 eta: 1 day, 22:12:35 batch_cost: 2.7273 data_cost: 0.0016 ips: 29.3334 images/s [10/15 04:29:29] ppdet.engine INFO: Epoch: [137] [140/366] learning_rate: 0.226349 loss_vfl: 0.902531 loss_bbox: 0.313407 loss_dfl: 0.191841 loss: 1.397725 eta: 1 day, 22:11:38 batch_cost: 2.7117 data_cost: 0.0016 ips: 29.5021 images/s [10/15 04:30:27] ppdet.engine INFO: Epoch: [137] [160/366] learning_rate: 0.226236 loss_vfl: 0.905699 loss_bbox: 0.325148 loss_dfl: 0.201379 loss: 1.440501 eta: 1 day, 22:10:41 batch_cost: 2.7505 data_cost: 0.0017 ips: 29.0852 images/s [10/15 04:31:24] ppdet.engine INFO: Epoch: [137] [180/366] learning_rate: 0.226122 loss_vfl: 0.925586 loss_bbox: 0.312576 loss_dfl: 0.192200 loss: 1.414120 eta: 1 day, 22:09:43 batch_cost: 2.7327 data_cost: 0.0016 ips: 29.2753 images/s [10/15 04:32:21] ppdet.engine INFO: Epoch: [137] [200/366] learning_rate: 0.226009 loss_vfl: 0.907472 loss_bbox: 0.309501 loss_dfl: 0.195410 loss: 1.403622 eta: 1 day, 22:08:45 batch_cost: 2.6992 data_cost: 0.0017 ips: 29.6381 images/s [10/15 04:33:19] ppdet.engine INFO: Epoch: [137] [220/366] learning_rate: 0.225895 loss_vfl: 0.900280 loss_bbox: 0.351620 loss_dfl: 0.207448 loss: 1.454147 eta: 1 day, 22:07:48 batch_cost: 2.7263 data_cost: 0.0017 ips: 29.3440 images/s [10/15 04:34:15] ppdet.engine INFO: Epoch: [137] [240/366] learning_rate: 0.225782 loss_vfl: 0.921222 loss_bbox: 0.313754 loss_dfl: 0.189540 loss: 1.410730 eta: 1 day, 22:06:49 batch_cost: 2.6884 data_cost: 0.0017 ips: 29.7577 images/s [10/15 04:35:12] ppdet.engine INFO: Epoch: [137] [260/366] learning_rate: 0.225668 loss_vfl: 0.906806 loss_bbox: 0.329071 loss_dfl: 0.196773 loss: 1.441705 eta: 1 day, 22:05:51 batch_cost: 2.6843 data_cost: 0.0016 ips: 29.8028 images/s [10/15 04:36:08] ppdet.engine INFO: Epoch: [137] [280/366] learning_rate: 0.225555 loss_vfl: 0.912495 loss_bbox: 0.320880 loss_dfl: 0.195575 loss: 1.436608 eta: 1 day, 22:04:52 batch_cost: 2.6573 data_cost: 0.0016 ips: 30.1058 images/s [10/15 04:37:04] ppdet.engine INFO: Epoch: [137] [300/366] learning_rate: 0.225441 loss_vfl: 0.906470 loss_bbox: 0.319748 loss_dfl: 0.195328 loss: 1.430337 eta: 1 day, 22:03:53 batch_cost: 2.6653 data_cost: 0.0017 ips: 30.0152 images/s [10/15 04:38:02] ppdet.engine INFO: Epoch: [137] [320/366] learning_rate: 0.225328 loss_vfl: 0.908933 loss_bbox: 0.334524 loss_dfl: 0.199289 loss: 1.438595 eta: 1 day, 22:02:56 batch_cost: 2.7424 data_cost: 0.0017 ips: 29.1715 images/s [10/15 04:38:59] ppdet.engine INFO: Epoch: [137] [340/366] learning_rate: 0.225214 loss_vfl: 0.915571 loss_bbox: 0.322090 loss_dfl: 0.199401 loss: 1.438854 eta: 1 day, 22:01:58 batch_cost: 2.7047 data_cost: 0.0016 ips: 29.5777 images/s [10/15 04:39:53] ppdet.engine INFO: Epoch: [137] [360/366] learning_rate: 0.225101 loss_vfl: 0.924323 loss_bbox: 0.306185 loss_dfl: 0.198657 loss: 1.434945 eta: 1 day, 22:00:56 batch_cost: 2.5577 data_cost: 0.0015 ips: 31.2775 images/s [10/15 04:40:31] ppdet.engine INFO: Epoch: [138] [ 0/366] learning_rate: 0.225067 loss_vfl: 0.928088 loss_bbox: 0.306185 loss_dfl: 0.190889 loss: 1.433416 eta: 1 day, 22:00:59 batch_cost: 3.4499 data_cost: 0.4594 ips: 23.1888 images/s [10/15 04:41:30] ppdet.engine INFO: Epoch: [138] [ 20/366] learning_rate: 0.224953 loss_vfl: 0.917021 loss_bbox: 0.317285 loss_dfl: 0.196040 loss: 1.432404 eta: 1 day, 22:00:04 batch_cost: 2.7937 data_cost: 0.0016 ips: 28.6361 images/s [10/15 04:42:27] ppdet.engine INFO: Epoch: [138] [ 40/366] learning_rate: 0.224840 loss_vfl: 0.898963 loss_bbox: 0.302912 loss_dfl: 0.192237 loss: 1.403740 eta: 1 day, 21:59:06 batch_cost: 2.7115 data_cost: 0.0017 ips: 29.5039 images/s [10/15 04:43:26] ppdet.engine INFO: Epoch: [138] [ 60/366] learning_rate: 0.224726 loss_vfl: 0.900815 loss_bbox: 0.304541 loss_dfl: 0.188182 loss: 1.409052 eta: 1 day, 21:58:10 batch_cost: 2.7896 data_cost: 0.0017 ips: 28.6783 images/s [10/15 04:44:24] ppdet.engine INFO: Epoch: [138] 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loss_bbox: 0.303685 loss_dfl: 0.193641 loss: 1.410459 eta: 1 day, 21:53:21 batch_cost: 2.7261 data_cost: 0.0017 ips: 29.3461 images/s [10/15 04:49:10] ppdet.engine INFO: Epoch: [138] [180/366] learning_rate: 0.224044 loss_vfl: 0.913549 loss_bbox: 0.317637 loss_dfl: 0.193459 loss: 1.415794 eta: 1 day, 21:52:23 batch_cost: 2.7119 data_cost: 0.0017 ips: 29.4996 images/s [10/15 04:50:08] ppdet.engine INFO: Epoch: [138] [200/366] learning_rate: 0.223931 loss_vfl: 0.896985 loss_bbox: 0.343036 loss_dfl: 0.200225 loss: 1.440902 eta: 1 day, 21:51:26 batch_cost: 2.7479 data_cost: 0.0017 ips: 29.1128 images/s [10/15 04:51:05] ppdet.engine INFO: Epoch: [138] [220/366] learning_rate: 0.223817 loss_vfl: 0.914952 loss_bbox: 0.320637 loss_dfl: 0.193870 loss: 1.429899 eta: 1 day, 21:50:29 batch_cost: 2.7093 data_cost: 0.0016 ips: 29.5278 images/s [10/15 04:52:03] ppdet.engine INFO: Epoch: [138] [240/366] learning_rate: 0.223704 loss_vfl: 0.905406 loss_bbox: 0.310176 loss_dfl: 0.195504 loss: 1.441955 eta: 1 day, 21:49:32 batch_cost: 2.7557 data_cost: 0.0017 ips: 29.0306 images/s [10/15 04:53:01] ppdet.engine INFO: Epoch: [138] [260/366] learning_rate: 0.223590 loss_vfl: 0.912836 loss_bbox: 0.319171 loss_dfl: 0.202432 loss: 1.439295 eta: 1 day, 21:48:35 batch_cost: 2.7689 data_cost: 0.0017 ips: 28.8925 images/s [10/15 04:54:00] ppdet.engine INFO: Epoch: [138] [280/366] learning_rate: 0.223476 loss_vfl: 0.921374 loss_bbox: 0.323319 loss_dfl: 0.198018 loss: 1.457835 eta: 1 day, 21:47:39 batch_cost: 2.7609 data_cost: 0.0017 ips: 28.9757 images/s [10/15 04:54:56] ppdet.engine INFO: Epoch: [138] [300/366] learning_rate: 0.223363 loss_vfl: 0.918268 loss_bbox: 0.306994 loss_dfl: 0.192251 loss: 1.425314 eta: 1 day, 21:46:40 batch_cost: 2.6878 data_cost: 0.0017 ips: 29.7638 images/s [10/15 04:55:54] ppdet.engine INFO: Epoch: [138] [320/366] learning_rate: 0.223249 loss_vfl: 0.915993 loss_bbox: 0.319283 loss_dfl: 0.200246 loss: 1.421695 eta: 1 day, 21:45:43 batch_cost: 2.7269 data_cost: 0.0016 ips: 29.3370 images/s [10/15 04:56:52] ppdet.engine INFO: Epoch: [138] [340/366] learning_rate: 0.223135 loss_vfl: 0.917838 loss_bbox: 0.309063 loss_dfl: 0.193604 loss: 1.430054 eta: 1 day, 21:44:47 batch_cost: 2.7678 data_cost: 0.0017 ips: 28.9034 images/s [10/15 04:57:45] ppdet.engine INFO: Epoch: [138] [360/366] learning_rate: 0.223022 loss_vfl: 0.902690 loss_bbox: 0.319868 loss_dfl: 0.195891 loss: 1.435280 eta: 1 day, 21:43:43 batch_cost: 2.4809 data_cost: 0.0016 ips: 32.2464 images/s [10/15 04:58:21] ppdet.engine INFO: Epoch: [139] [ 0/366] learning_rate: 0.222987 loss_vfl: 0.911252 loss_bbox: 0.324144 loss_dfl: 0.202213 loss: 1.449222 eta: 1 day, 21:43:44 batch_cost: 3.2763 data_cost: 0.3236 ips: 24.4180 images/s [10/15 04:59:20] ppdet.engine INFO: Epoch: [139] [ 20/366] learning_rate: 0.222874 loss_vfl: 0.895879 loss_bbox: 0.326199 loss_dfl: 0.202023 loss: 1.399427 eta: 1 day, 21:42:49 batch_cost: 2.8152 data_cost: 0.0017 ips: 28.4176 images/s [10/15 05:00:18] ppdet.engine INFO: Epoch: [139] [ 40/366] learning_rate: 0.222760 loss_vfl: 0.897852 loss_bbox: 0.320076 loss_dfl: 0.198331 loss: 1.414366 eta: 1 day, 21:41:52 batch_cost: 2.7390 data_cost: 0.0023 ips: 29.2079 images/s [10/15 05:01:16] ppdet.engine INFO: Epoch: [139] [ 60/366] learning_rate: 0.222646 loss_vfl: 0.898661 loss_bbox: 0.333435 loss_dfl: 0.200643 loss: 1.420839 eta: 1 day, 21:40:54 batch_cost: 2.7109 data_cost: 0.0023 ips: 29.5105 images/s [10/15 05:02:13] ppdet.engine INFO: Epoch: [139] [ 80/366] learning_rate: 0.222533 loss_vfl: 0.900813 loss_bbox: 0.324980 loss_dfl: 0.197739 loss: 1.417512 eta: 1 day, 21:39:57 batch_cost: 2.7374 data_cost: 0.0016 ips: 29.2244 images/s [10/15 05:03:11] ppdet.engine INFO: Epoch: [139] [100/366] learning_rate: 0.222419 loss_vfl: 0.897473 loss_bbox: 0.320534 loss_dfl: 0.199609 loss: 1.403127 eta: 1 day, 21:38:59 batch_cost: 2.7324 data_cost: 0.0017 ips: 29.2778 images/s [10/15 05:04:09] ppdet.engine INFO: Epoch: [139] [120/366] learning_rate: 0.222305 loss_vfl: 0.912264 loss_bbox: 0.336783 loss_dfl: 0.197418 loss: 1.449809 eta: 1 day, 21:38:03 batch_cost: 2.7679 data_cost: 0.0016 ips: 28.9026 images/s [10/15 05:05:07] ppdet.engine INFO: Epoch: [139] [140/366] learning_rate: 0.222191 loss_vfl: 0.934107 loss_bbox: 0.317081 loss_dfl: 0.191615 loss: 1.428658 eta: 1 day, 21:37:06 batch_cost: 2.7447 data_cost: 0.0016 ips: 29.1471 images/s [10/15 05:06:04] ppdet.engine INFO: Epoch: [139] [160/366] learning_rate: 0.222078 loss_vfl: 0.899041 loss_bbox: 0.331504 loss_dfl: 0.195027 loss: 1.425288 eta: 1 day, 21:36:08 batch_cost: 2.7113 data_cost: 0.0016 ips: 29.5058 images/s [10/15 05:07:01] ppdet.engine INFO: Epoch: [139] [180/366] learning_rate: 0.221964 loss_vfl: 0.910468 loss_bbox: 0.322257 loss_dfl: 0.198897 loss: 1.410325 eta: 1 day, 21:35:10 batch_cost: 2.6958 data_cost: 0.0016 ips: 29.6760 images/s [10/15 05:07:59] ppdet.engine INFO: Epoch: [139] [200/366] learning_rate: 0.221850 loss_vfl: 0.926293 loss_bbox: 0.319463 loss_dfl: 0.194245 loss: 1.443569 eta: 1 day, 21:34:14 batch_cost: 2.7787 data_cost: 0.0017 ips: 28.7906 images/s [10/15 05:08:57] ppdet.engine INFO: Epoch: [139] [220/366] learning_rate: 0.221736 loss_vfl: 0.937623 loss_bbox: 0.293691 loss_dfl: 0.185390 loss: 1.415496 eta: 1 day, 21:33:16 batch_cost: 2.7063 data_cost: 0.0016 ips: 29.5611 images/s [10/15 05:09:54] ppdet.engine INFO: Epoch: [139] [240/366] learning_rate: 0.221623 loss_vfl: 0.901207 loss_bbox: 0.317212 loss_dfl: 0.197650 loss: 1.418198 eta: 1 day, 21:32:19 batch_cost: 2.7272 data_cost: 0.0016 ips: 29.3338 images/s [10/15 05:10:50] ppdet.engine INFO: Epoch: [139] [260/366] learning_rate: 0.221509 loss_vfl: 0.915178 loss_bbox: 0.325890 loss_dfl: 0.197456 loss: 1.425480 eta: 1 day, 21:31:19 batch_cost: 2.6404 data_cost: 0.0016 ips: 30.2982 images/s [10/15 05:11:46] ppdet.engine INFO: Epoch: [139] [280/366] learning_rate: 0.221395 loss_vfl: 0.911843 loss_bbox: 0.311605 loss_dfl: 0.195061 loss: 1.437625 eta: 1 day, 21:30:20 batch_cost: 2.6617 data_cost: 0.0016 ips: 30.0555 images/s [10/15 05:12:42] ppdet.engine INFO: Epoch: [139] [300/366] learning_rate: 0.221281 loss_vfl: 0.906481 loss_bbox: 0.318679 loss_dfl: 0.195714 loss: 1.413842 eta: 1 day, 21:29:22 batch_cost: 2.6719 data_cost: 0.0018 ips: 29.9409 images/s [10/15 05:13:38] ppdet.engine INFO: Epoch: [139] [320/366] learning_rate: 0.221167 loss_vfl: 0.904377 loss_bbox: 0.314090 loss_dfl: 0.194258 loss: 1.423870 eta: 1 day, 21:28:22 batch_cost: 2.6461 data_cost: 0.0020 ips: 30.2335 images/s [10/15 05:14:36] ppdet.engine INFO: Epoch: [139] [340/366] learning_rate: 0.221054 loss_vfl: 0.891077 loss_bbox: 0.308736 loss_dfl: 0.189307 loss: 1.380276 eta: 1 day, 21:27:26 batch_cost: 2.7558 data_cost: 0.0016 ips: 29.0299 images/s [10/15 05:15:30] ppdet.engine INFO: Epoch: [139] [360/366] learning_rate: 0.220940 loss_vfl: 0.914689 loss_bbox: 0.320839 loss_dfl: 0.192781 loss: 1.443861 eta: 1 day, 21:26:24 batch_cost: 2.5495 data_cost: 0.0016 ips: 31.3786 images/s [10/15 05:15:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 05:15:47] ppdet.engine INFO: Eval iter: 0 [10/15 05:16:25] ppdet.engine INFO: Eval iter: 100 [10/15 05:16:48] ppdet.engine INFO: Eval iter: 200 [10/15 05:17:12] ppdet.engine INFO: Eval iter: 300 [10/15 05:17:35] ppdet.engine INFO: Eval iter: 400 [10/15 05:17:59] ppdet.engine INFO: Eval iter: 500 [10/15 05:18:23] ppdet.engine INFO: Eval iter: 600 [10/15 05:18:44] 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 05:18:45] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.68s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.33s). Accumulating evaluation results... DONE (t=17.01s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.290 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.431 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.301 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.268 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.422 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 ] = 0.184 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.703 [10/15 05:20:46] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.435340003683237 [10/15 05:20:46] ppdet.engine INFO: Best test bbox ap is 0.290. [10/15 05:20:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 05:20:48] ppdet.engine INFO: Epoch: [140] [ 0/366] learning_rate: 0.220906 loss_vfl: 0.915123 loss_bbox: 0.322376 loss_dfl: 0.198822 loss: 1.443198 eta: 1 day, 21:26:04 batch_cost: 2.3820 data_cost: 0.0016 ips: 33.5852 images/s [10/15 05:21:49] ppdet.engine INFO: Epoch: [140] [ 20/366] learning_rate: 0.220792 loss_vfl: 0.897791 loss_bbox: 0.311462 loss_dfl: 0.190523 loss: 1.399904 eta: 1 day, 21:25:10 batch_cost: 2.8954 data_cost: 0.0019 ips: 27.6301 images/s [10/15 05:22:50] ppdet.engine INFO: Epoch: [140] [ 40/366] learning_rate: 0.220678 loss_vfl: 0.897249 loss_bbox: 0.319358 loss_dfl: 0.192142 loss: 1.412026 eta: 1 day, 21:24:16 batch_cost: 2.8794 data_cost: 0.0017 ips: 27.7836 images/s [10/15 05:23:49] ppdet.engine INFO: Epoch: [140] [ 60/366] learning_rate: 0.220564 loss_vfl: 0.913794 loss_bbox: 0.324610 loss_dfl: 0.196870 loss: 1.430203 eta: 1 day, 21:23:21 batch_cost: 2.8061 data_cost: 0.0017 ips: 28.5094 images/s [10/15 05:24:47] ppdet.engine INFO: Epoch: [140] [ 80/366] learning_rate: 0.220450 loss_vfl: 0.915787 loss_bbox: 0.323688 loss_dfl: 0.201457 loss: 1.443624 eta: 1 day, 21:22:24 batch_cost: 2.7558 data_cost: 0.0016 ips: 29.0300 images/s [10/15 05:25:45] ppdet.engine INFO: Epoch: [140] [100/366] learning_rate: 0.220337 loss_vfl: 0.900820 loss_bbox: 0.311485 loss_dfl: 0.194925 loss: 1.400674 eta: 1 day, 21:21:27 batch_cost: 2.7142 data_cost: 0.0017 ips: 29.4741 images/s [10/15 05:26:42] ppdet.engine INFO: Epoch: [140] [120/366] learning_rate: 0.220223 loss_vfl: 0.897177 loss_bbox: 0.327078 loss_dfl: 0.197492 loss: 1.423491 eta: 1 day, 21:20:29 batch_cost: 2.7068 data_cost: 0.0019 ips: 29.5554 images/s [10/15 05:27:39] ppdet.engine INFO: Epoch: [140] [140/366] learning_rate: 0.220109 loss_vfl: 0.894505 loss_bbox: 0.319697 loss_dfl: 0.197576 loss: 1.416962 eta: 1 day, 21:19:30 batch_cost: 2.6880 data_cost: 0.0016 ips: 29.7625 images/s [10/15 05:28:36] ppdet.engine INFO: Epoch: [140] [160/366] learning_rate: 0.219995 loss_vfl: 0.905429 loss_bbox: 0.334515 loss_dfl: 0.199363 loss: 1.439011 eta: 1 day, 21:18:33 batch_cost: 2.7256 data_cost: 0.0016 ips: 29.3511 images/s [10/15 05:29:34] ppdet.engine INFO: Epoch: [140] [180/366] learning_rate: 0.219881 loss_vfl: 0.913298 loss_bbox: 0.312950 loss_dfl: 0.193458 loss: 1.416364 eta: 1 day, 21:17:36 batch_cost: 2.7340 data_cost: 0.0022 ips: 29.2616 images/s [10/15 05:30:31] ppdet.engine INFO: Epoch: [140] [200/366] learning_rate: 0.219767 loss_vfl: 0.906614 loss_bbox: 0.320645 loss_dfl: 0.194317 loss: 1.421928 eta: 1 day, 21:16:37 batch_cost: 2.6728 data_cost: 0.0017 ips: 29.9312 images/s [10/15 05:31:27] ppdet.engine INFO: Epoch: [140] [220/366] learning_rate: 0.219653 loss_vfl: 0.908951 loss_bbox: 0.295461 loss_dfl: 0.191433 loss: 1.406160 eta: 1 day, 21:15:38 batch_cost: 2.6615 data_cost: 0.0016 ips: 30.0587 images/s [10/15 05:32:22] ppdet.engine INFO: Epoch: [140] [240/366] learning_rate: 0.219539 loss_vfl: 0.900705 loss_bbox: 0.330017 loss_dfl: 0.199945 loss: 1.429466 eta: 1 day, 21:14:38 batch_cost: 2.6069 data_cost: 0.0017 ips: 30.6873 images/s [10/15 05:33:21] ppdet.engine INFO: Epoch: [140] [260/366] learning_rate: 0.219425 loss_vfl: 0.888774 loss_bbox: 0.309583 loss_dfl: 0.188040 loss: 1.396956 eta: 1 day, 21:13:43 batch_cost: 2.8003 data_cost: 0.0017 ips: 28.5689 images/s [10/15 05:34:19] ppdet.engine INFO: Epoch: [140] [280/366] learning_rate: 0.219312 loss_vfl: 0.929859 loss_bbox: 0.304468 loss_dfl: 0.188744 loss: 1.426088 eta: 1 day, 21:12:46 batch_cost: 2.7704 data_cost: 0.0016 ips: 28.8770 images/s [10/15 05:35:16] ppdet.engine INFO: Epoch: [140] [300/366] learning_rate: 0.219198 loss_vfl: 0.908323 loss_bbox: 0.311847 loss_dfl: 0.187697 loss: 1.405361 eta: 1 day, 21:11:49 batch_cost: 2.7111 data_cost: 0.0016 ips: 29.5081 images/s [10/15 05:36:14] ppdet.engine INFO: Epoch: [140] [320/366] learning_rate: 0.219084 loss_vfl: 0.921187 loss_bbox: 0.329927 loss_dfl: 0.195442 loss: 1.439239 eta: 1 day, 21:10:51 batch_cost: 2.7150 data_cost: 0.0016 ips: 29.4655 images/s [10/15 05:37:11] ppdet.engine INFO: Epoch: [140] [340/366] learning_rate: 0.218970 loss_vfl: 0.928615 loss_bbox: 0.309456 loss_dfl: 0.185817 loss: 1.426543 eta: 1 day, 21:09:54 batch_cost: 2.7399 data_cost: 0.0016 ips: 29.1978 images/s [10/15 05:38:04] ppdet.engine INFO: Epoch: [140] [360/366] learning_rate: 0.218856 loss_vfl: 0.916988 loss_bbox: 0.308820 loss_dfl: 0.195066 loss: 1.421622 eta: 1 day, 21:08:51 batch_cost: 2.4847 data_cost: 0.0016 ips: 32.1968 images/s [10/15 05:38:41] ppdet.engine INFO: Epoch: [141] [ 0/366] learning_rate: 0.218822 loss_vfl: 0.917199 loss_bbox: 0.327670 loss_dfl: 0.199208 loss: 1.436397 eta: 1 day, 21:08:52 batch_cost: 3.3089 data_cost: 0.4699 ips: 24.1774 images/s [10/15 05:39:41] ppdet.engine INFO: Epoch: [141] [ 20/366] learning_rate: 0.218708 loss_vfl: 0.910820 loss_bbox: 0.316695 loss_dfl: 0.199842 loss: 1.426751 eta: 1 day, 21:07:57 batch_cost: 2.8490 data_cost: 0.0018 ips: 28.0800 images/s [10/15 05:40:39] ppdet.engine INFO: Epoch: [141] [ 40/366] learning_rate: 0.218594 loss_vfl: 0.904787 loss_bbox: 0.320341 loss_dfl: 0.201368 loss: 1.422143 eta: 1 day, 21:07:01 batch_cost: 2.7936 data_cost: 0.0017 ips: 28.6365 images/s [10/15 05:41:39] ppdet.engine INFO: Epoch: [141] [ 60/366] learning_rate: 0.218480 loss_vfl: 0.906323 loss_bbox: 0.323267 loss_dfl: 0.196629 loss: 1.427669 eta: 1 day, 21:06:06 batch_cost: 2.8290 data_cost: 0.0017 ips: 28.2783 images/s [10/15 05:42:37] ppdet.engine INFO: Epoch: [141] [ 80/366] learning_rate: 0.218366 loss_vfl: 0.903499 loss_bbox: 0.308675 loss_dfl: 0.195971 loss: 1.416336 eta: 1 day, 21:05:10 batch_cost: 2.7607 data_cost: 0.0016 ips: 28.9779 images/s [10/15 05:43:36] ppdet.engine INFO: Epoch: [141] [100/366] learning_rate: 0.218252 loss_vfl: 0.899136 loss_bbox: 0.334643 loss_dfl: 0.202194 loss: 1.461363 eta: 1 day, 21:04:14 batch_cost: 2.7907 data_cost: 0.0017 ips: 28.6665 images/s [10/15 05:44:34] ppdet.engine INFO: Epoch: [141] [120/366] learning_rate: 0.218138 loss_vfl: 0.911915 loss_bbox: 0.321956 loss_dfl: 0.197949 loss: 1.422929 eta: 1 day, 21:03:17 batch_cost: 2.7412 data_cost: 0.0016 ips: 29.1845 images/s [10/15 05:45:32] ppdet.engine INFO: Epoch: [141] [140/366] learning_rate: 0.218024 loss_vfl: 0.900965 loss_bbox: 0.322822 loss_dfl: 0.197919 loss: 1.430484 eta: 1 day, 21:02:20 batch_cost: 2.7357 data_cost: 0.0017 ips: 29.2428 images/s [10/15 05:46:30] ppdet.engine INFO: Epoch: [141] [160/366] learning_rate: 0.217910 loss_vfl: 0.916295 loss_bbox: 0.302382 loss_dfl: 0.187517 loss: 1.428917 eta: 1 day, 21:01:22 batch_cost: 2.7241 data_cost: 0.0017 ips: 29.3680 images/s [10/15 05:47:28] ppdet.engine INFO: Epoch: [141] [180/366] learning_rate: 0.217796 loss_vfl: 0.895128 loss_bbox: 0.319244 loss_dfl: 0.194455 loss: 1.415099 eta: 1 day, 21:00:27 batch_cost: 2.8031 data_cost: 0.0016 ips: 28.5399 images/s [10/15 05:48:25] ppdet.engine INFO: Epoch: [141] [200/366] learning_rate: 0.217682 loss_vfl: 0.897589 loss_bbox: 0.325049 loss_dfl: 0.202569 loss: 1.437035 eta: 1 day, 20:59:29 batch_cost: 2.7055 data_cost: 0.0016 ips: 29.5692 images/s [10/15 05:49:24] ppdet.engine INFO: Epoch: [141] [220/366] learning_rate: 0.217568 loss_vfl: 0.920785 loss_bbox: 0.308053 loss_dfl: 0.193606 loss: 1.426271 eta: 1 day, 20:58:32 batch_cost: 2.7714 data_cost: 0.0016 ips: 28.8668 images/s [10/15 05:50:21] ppdet.engine INFO: Epoch: [141] [240/366] learning_rate: 0.217454 loss_vfl: 0.906855 loss_bbox: 0.319620 loss_dfl: 0.194326 loss: 1.415496 eta: 1 day, 20:57:35 batch_cost: 2.7170 data_cost: 0.0018 ips: 29.4447 images/s [10/15 05:51:19] ppdet.engine INFO: Epoch: [141] [260/366] learning_rate: 0.217340 loss_vfl: 0.916714 loss_bbox: 0.305030 loss_dfl: 0.191645 loss: 1.432730 eta: 1 day, 20:56:38 batch_cost: 2.7573 data_cost: 0.0017 ips: 29.0143 images/s [10/15 05:52:17] ppdet.engine INFO: Epoch: [141] [280/366] learning_rate: 0.217226 loss_vfl: 0.908098 loss_bbox: 0.327715 loss_dfl: 0.198753 loss: 1.444041 eta: 1 day, 20:55:41 batch_cost: 2.7128 data_cost: 0.0019 ips: 29.4894 images/s [10/15 05:53:16] ppdet.engine INFO: Epoch: [141] [300/366] learning_rate: 0.217112 loss_vfl: 0.904964 loss_bbox: 0.314852 loss_dfl: 0.196245 loss: 1.414102 eta: 1 day, 20:54:44 batch_cost: 2.7776 data_cost: 0.0020 ips: 28.8021 images/s [10/15 05:54:15] ppdet.engine INFO: Epoch: [141] [320/366] learning_rate: 0.216998 loss_vfl: 0.891085 loss_bbox: 0.315993 loss_dfl: 0.194663 loss: 1.412044 eta: 1 day, 20:53:48 batch_cost: 2.7694 data_cost: 0.0019 ips: 28.8873 images/s [10/15 05:55:14] ppdet.engine INFO: Epoch: [141] [340/366] learning_rate: 0.216884 loss_vfl: 0.906706 loss_bbox: 0.325866 loss_dfl: 0.197538 loss: 1.423678 eta: 1 day, 20:52:52 batch_cost: 2.7873 data_cost: 0.0018 ips: 28.7014 images/s [10/15 05:56:07] ppdet.engine INFO: Epoch: [141] [360/366] learning_rate: 0.216770 loss_vfl: 0.907204 loss_bbox: 0.321999 loss_dfl: 0.197317 loss: 1.430532 eta: 1 day, 20:51:50 batch_cost: 2.5001 data_cost: 0.0016 ips: 31.9987 images/s [10/15 05:56:40] ppdet.engine INFO: Epoch: [142] [ 0/366] learning_rate: 0.216736 loss_vfl: 0.913164 loss_bbox: 0.320830 loss_dfl: 0.199289 loss: 1.437920 eta: 1 day, 20:51:46 batch_cost: 3.0913 data_cost: 0.2792 ips: 25.8792 images/s [10/15 05:57:41] ppdet.engine INFO: Epoch: [142] [ 20/366] learning_rate: 0.216622 loss_vfl: 0.893883 loss_bbox: 0.305193 loss_dfl: 0.186704 loss: 1.404877 eta: 1 day, 20:50:53 batch_cost: 2.9358 data_cost: 0.0023 ips: 27.2502 images/s [10/15 05:58:39] ppdet.engine INFO: Epoch: [142] [ 40/366] learning_rate: 0.216507 loss_vfl: 0.898400 loss_bbox: 0.314105 loss_dfl: 0.189462 loss: 1.396111 eta: 1 day, 20:49:56 batch_cost: 2.7386 data_cost: 0.0024 ips: 29.2116 images/s [10/15 05:59:36] ppdet.engine INFO: Epoch: [142] [ 60/366] learning_rate: 0.216393 loss_vfl: 0.912434 loss_bbox: 0.311453 loss_dfl: 0.190477 loss: 1.420385 eta: 1 day, 20:48:57 batch_cost: 2.6611 data_cost: 0.0017 ips: 30.0630 images/s [10/15 06:00:33] ppdet.engine INFO: Epoch: [142] [ 80/366] learning_rate: 0.216279 loss_vfl: 0.901220 loss_bbox: 0.327721 loss_dfl: 0.191872 loss: 1.403460 eta: 1 day, 20:48:00 batch_cost: 2.7139 data_cost: 0.0016 ips: 29.4778 images/s [10/15 06:01:32] ppdet.engine INFO: Epoch: [142] [100/366] learning_rate: 0.216165 loss_vfl: 0.911929 loss_bbox: 0.307985 loss_dfl: 0.196721 loss: 1.428716 eta: 1 day, 20:47:04 batch_cost: 2.7981 data_cost: 0.0018 ips: 28.5906 images/s [10/15 06:02:29] ppdet.engine INFO: Epoch: [142] [120/366] learning_rate: 0.216051 loss_vfl: 0.928198 loss_bbox: 0.308600 loss_dfl: 0.187128 loss: 1.414727 eta: 1 day, 20:46:06 batch_cost: 2.7017 data_cost: 0.0016 ips: 29.6109 images/s [10/15 06:03:27] ppdet.engine INFO: Epoch: [142] [140/366] learning_rate: 0.215937 loss_vfl: 0.919085 loss_bbox: 0.325056 loss_dfl: 0.199400 loss: 1.435775 eta: 1 day, 20:45:10 batch_cost: 2.7953 data_cost: 0.0016 ips: 28.6195 images/s [10/15 06:04:24] ppdet.engine INFO: Epoch: [142] [160/366] learning_rate: 0.215823 loss_vfl: 0.901218 loss_bbox: 0.313771 loss_dfl: 0.192479 loss: 1.407039 eta: 1 day, 20:44:13 batch_cost: 2.7064 data_cost: 0.0017 ips: 29.5597 images/s [10/15 06:05:22] ppdet.engine INFO: Epoch: [142] [180/366] learning_rate: 0.215709 loss_vfl: 0.914937 loss_bbox: 0.310149 loss_dfl: 0.187001 loss: 1.396689 eta: 1 day, 20:43:16 batch_cost: 2.7511 data_cost: 0.0016 ips: 29.0789 images/s [10/15 06:06:19] ppdet.engine INFO: Epoch: [142] [200/366] learning_rate: 0.215595 loss_vfl: 0.903656 loss_bbox: 0.305320 loss_dfl: 0.193413 loss: 1.413066 eta: 1 day, 20:42:17 batch_cost: 2.6803 data_cost: 0.0017 ips: 29.8471 images/s [10/15 06:07:16] ppdet.engine INFO: Epoch: [142] [220/366] learning_rate: 0.215481 loss_vfl: 0.906692 loss_bbox: 0.331025 loss_dfl: 0.200051 loss: 1.437781 eta: 1 day, 20:41:20 batch_cost: 2.7192 data_cost: 0.0016 ips: 29.4203 images/s [10/15 06:08:15] ppdet.engine INFO: Epoch: [142] [240/366] learning_rate: 0.215367 loss_vfl: 0.906221 loss_bbox: 0.325022 loss_dfl: 0.200929 loss: 1.435922 eta: 1 day, 20:40:24 batch_cost: 2.7665 data_cost: 0.0017 ips: 28.9175 images/s [10/15 06:09:12] ppdet.engine INFO: Epoch: [142] [260/366] learning_rate: 0.215253 loss_vfl: 0.920820 loss_bbox: 0.333762 loss_dfl: 0.202565 loss: 1.443483 eta: 1 day, 20:39:26 batch_cost: 2.7203 data_cost: 0.0016 ips: 29.4081 images/s [10/15 06:10:09] ppdet.engine INFO: Epoch: [142] [280/366] learning_rate: 0.215138 loss_vfl: 0.921652 loss_bbox: 0.321407 loss_dfl: 0.195375 loss: 1.432840 eta: 1 day, 20:38:28 batch_cost: 2.6993 data_cost: 0.0016 ips: 29.6377 images/s [10/15 06:11:06] ppdet.engine INFO: Epoch: [142] [300/366] learning_rate: 0.215024 loss_vfl: 0.906559 loss_bbox: 0.311479 loss_dfl: 0.192233 loss: 1.434231 eta: 1 day, 20:37:30 batch_cost: 2.6868 data_cost: 0.0017 ips: 29.7755 images/s [10/15 06:12:04] ppdet.engine INFO: Epoch: [142] [320/366] learning_rate: 0.214910 loss_vfl: 0.919699 loss_bbox: 0.323304 loss_dfl: 0.197026 loss: 1.444833 eta: 1 day, 20:36:33 batch_cost: 2.7483 data_cost: 0.0016 ips: 29.1094 images/s [10/15 06:13:03] ppdet.engine INFO: Epoch: [142] [340/366] learning_rate: 0.214796 loss_vfl: 0.908691 loss_bbox: 0.310238 loss_dfl: 0.193455 loss: 1.415349 eta: 1 day, 20:35:37 batch_cost: 2.7963 data_cost: 0.0016 ips: 28.6096 images/s [10/15 06:13:56] ppdet.engine INFO: Epoch: [142] [360/366] learning_rate: 0.214682 loss_vfl: 0.892935 loss_bbox: 0.301121 loss_dfl: 0.188955 loss: 1.404679 eta: 1 day, 20:34:35 batch_cost: 2.5073 data_cost: 0.0016 ips: 31.9071 images/s [10/15 06:14:33] ppdet.engine INFO: Epoch: [143] [ 0/366] learning_rate: 0.214648 loss_vfl: 0.892757 loss_bbox: 0.310915 loss_dfl: 0.190819 loss: 1.408179 eta: 1 day, 20:34:36 batch_cost: 3.3090 data_cost: 0.5491 ips: 24.1763 images/s [10/15 06:15:32] ppdet.engine INFO: Epoch: [143] [ 20/366] learning_rate: 0.214533 loss_vfl: 0.898418 loss_bbox: 0.299150 loss_dfl: 0.191869 loss: 1.413116 eta: 1 day, 20:33:40 batch_cost: 2.8044 data_cost: 0.0017 ips: 28.5262 images/s [10/15 06:16:29] ppdet.engine INFO: Epoch: [143] [ 40/366] learning_rate: 0.214419 loss_vfl: 0.914989 loss_bbox: 0.311354 loss_dfl: 0.192914 loss: 1.395546 eta: 1 day, 20:32:43 batch_cost: 2.7355 data_cost: 0.0016 ips: 29.2448 images/s [10/15 06:17:26] ppdet.engine INFO: Epoch: [143] [ 60/366] learning_rate: 0.214305 loss_vfl: 0.906990 loss_bbox: 0.320161 loss_dfl: 0.195082 loss: 1.416442 eta: 1 day, 20:31:45 batch_cost: 2.6863 data_cost: 0.0015 ips: 29.7804 images/s [10/15 06:18:24] ppdet.engine INFO: Epoch: [143] [ 80/366] learning_rate: 0.214191 loss_vfl: 0.904042 loss_bbox: 0.316665 loss_dfl: 0.194253 loss: 1.423208 eta: 1 day, 20:30:48 batch_cost: 2.7532 data_cost: 0.0016 ips: 29.0570 images/s [10/15 06:19:23] ppdet.engine INFO: Epoch: [143] [100/366] learning_rate: 0.214077 loss_vfl: 0.901791 loss_bbox: 0.319116 loss_dfl: 0.199943 loss: 1.421567 eta: 1 day, 20:29:52 batch_cost: 2.7909 data_cost: 0.0016 ips: 28.6646 images/s [10/15 06:20:20] ppdet.engine INFO: Epoch: [143] [120/366] learning_rate: 0.213963 loss_vfl: 0.933455 loss_bbox: 0.303442 loss_dfl: 0.187461 loss: 1.426050 eta: 1 day, 20:28:55 batch_cost: 2.7164 data_cost: 0.0016 ips: 29.4509 images/s [10/15 06:21:17] ppdet.engine INFO: Epoch: [143] [140/366] learning_rate: 0.213849 loss_vfl: 0.885856 loss_bbox: 0.318299 loss_dfl: 0.195534 loss: 1.409016 eta: 1 day, 20:27:57 batch_cost: 2.7193 data_cost: 0.0017 ips: 29.4197 images/s [10/15 06:22:15] ppdet.engine INFO: Epoch: [143] [160/366] learning_rate: 0.213734 loss_vfl: 0.899570 loss_bbox: 0.324748 loss_dfl: 0.203504 loss: 1.424202 eta: 1 day, 20:27:00 batch_cost: 2.7226 data_cost: 0.0017 ips: 29.3838 images/s [10/15 06:23:13] ppdet.engine INFO: Epoch: [143] [180/366] learning_rate: 0.213620 loss_vfl: 0.920690 loss_bbox: 0.306656 loss_dfl: 0.193017 loss: 1.410819 eta: 1 day, 20:26:03 batch_cost: 2.7606 data_cost: 0.0017 ips: 28.9797 images/s [10/15 06:24:10] ppdet.engine INFO: Epoch: [143] [200/366] learning_rate: 0.213506 loss_vfl: 0.908605 loss_bbox: 0.315814 loss_dfl: 0.194427 loss: 1.415324 eta: 1 day, 20:25:04 batch_cost: 2.6484 data_cost: 0.0016 ips: 30.2070 images/s [10/15 06:25:06] ppdet.engine INFO: Epoch: [143] [220/366] learning_rate: 0.213392 loss_vfl: 0.910809 loss_bbox: 0.321038 loss_dfl: 0.199950 loss: 1.448013 eta: 1 day, 20:24:06 batch_cost: 2.6891 data_cost: 0.0017 ips: 29.7497 images/s [10/15 06:26:03] ppdet.engine INFO: Epoch: [143] [240/366] learning_rate: 0.213278 loss_vfl: 0.914227 loss_bbox: 0.311559 loss_dfl: 0.190182 loss: 1.419958 eta: 1 day, 20:23:08 batch_cost: 2.6809 data_cost: 0.0016 ips: 29.8406 images/s [10/15 06:26:59] ppdet.engine INFO: Epoch: [143] [260/366] learning_rate: 0.213163 loss_vfl: 0.918197 loss_bbox: 0.339497 loss_dfl: 0.200683 loss: 1.454395 eta: 1 day, 20:22:09 batch_cost: 2.6490 data_cost: 0.0017 ips: 30.2001 images/s [10/15 06:27:55] ppdet.engine INFO: Epoch: [143] [280/366] learning_rate: 0.213049 loss_vfl: 0.906725 loss_bbox: 0.319564 loss_dfl: 0.191095 loss: 1.413796 eta: 1 day, 20:21:11 batch_cost: 2.6898 data_cost: 0.0022 ips: 29.7416 images/s [10/15 06:28:52] ppdet.engine INFO: Epoch: [143] [300/366] learning_rate: 0.212935 loss_vfl: 0.913402 loss_bbox: 0.309794 loss_dfl: 0.193856 loss: 1.426602 eta: 1 day, 20:20:13 batch_cost: 2.7010 data_cost: 0.0017 ips: 29.6182 images/s [10/15 06:29:49] ppdet.engine INFO: Epoch: [143] [320/366] learning_rate: 0.212821 loss_vfl: 0.900707 loss_bbox: 0.315550 loss_dfl: 0.194055 loss: 1.402107 eta: 1 day, 20:19:15 batch_cost: 2.6703 data_cost: 0.0016 ips: 29.9595 images/s [10/15 06:30:46] ppdet.engine INFO: Epoch: [143] [340/366] learning_rate: 0.212707 loss_vfl: 0.917246 loss_bbox: 0.322961 loss_dfl: 0.195592 loss: 1.430242 eta: 1 day, 20:18:17 batch_cost: 2.7016 data_cost: 0.0017 ips: 29.6123 images/s [10/15 06:31:38] ppdet.engine INFO: Epoch: [143] [360/366] learning_rate: 0.212592 loss_vfl: 0.905063 loss_bbox: 0.333578 loss_dfl: 0.205540 loss: 1.446359 eta: 1 day, 20:17:13 batch_cost: 2.4471 data_cost: 0.0015 ips: 32.6921 images/s [10/15 06:32:15] ppdet.engine INFO: Epoch: [144] [ 0/366] learning_rate: 0.212558 loss_vfl: 0.917658 loss_bbox: 0.327348 loss_dfl: 0.199640 loss: 1.452342 eta: 1 day, 20:17:14 batch_cost: 3.2914 data_cost: 0.3288 ips: 24.3060 images/s [10/15 06:33:15] ppdet.engine INFO: Epoch: [144] [ 20/366] learning_rate: 0.212444 loss_vfl: 0.883712 loss_bbox: 0.332976 loss_dfl: 0.198997 loss: 1.421209 eta: 1 day, 20:16:19 batch_cost: 2.8341 data_cost: 0.0020 ips: 28.2280 images/s [10/15 06:34:13] ppdet.engine INFO: Epoch: [144] [ 40/366] learning_rate: 0.212330 loss_vfl: 0.897437 loss_bbox: 0.322169 loss_dfl: 0.197078 loss: 1.425919 eta: 1 day, 20:15:23 batch_cost: 2.7606 data_cost: 0.0016 ips: 28.9795 images/s [10/15 06:35:11] ppdet.engine INFO: Epoch: [144] [ 60/366] learning_rate: 0.212215 loss_vfl: 0.893073 loss_bbox: 0.325870 loss_dfl: 0.196659 loss: 1.417131 eta: 1 day, 20:14:26 batch_cost: 2.7362 data_cost: 0.0017 ips: 29.2379 images/s [10/15 06:36:10] ppdet.engine INFO: Epoch: [144] [ 80/366] learning_rate: 0.212101 loss_vfl: 0.905426 loss_bbox: 0.332996 loss_dfl: 0.203238 loss: 1.441516 eta: 1 day, 20:13:30 batch_cost: 2.7975 data_cost: 0.0017 ips: 28.5974 images/s [10/15 06:37:09] ppdet.engine INFO: Epoch: [144] [100/366] learning_rate: 0.211987 loss_vfl: 0.909750 loss_bbox: 0.317700 loss_dfl: 0.196343 loss: 1.424770 eta: 1 day, 20:12:34 batch_cost: 2.7999 data_cost: 0.0018 ips: 28.5719 images/s [10/15 06:38:07] ppdet.engine INFO: Epoch: [144] [120/366] learning_rate: 0.211873 loss_vfl: 0.904890 loss_bbox: 0.297295 loss_dfl: 0.195287 loss: 1.415205 eta: 1 day, 20:11:38 batch_cost: 2.7688 data_cost: 0.0016 ips: 28.8929 images/s [10/15 06:39:04] ppdet.engine INFO: Epoch: [144] [140/366] learning_rate: 0.211758 loss_vfl: 0.918226 loss_bbox: 0.309031 loss_dfl: 0.191620 loss: 1.419714 eta: 1 day, 20:10:40 batch_cost: 2.6916 data_cost: 0.0017 ips: 29.7222 images/s [10/15 06:40:02] ppdet.engine INFO: Epoch: [144] [160/366] learning_rate: 0.211644 loss_vfl: 0.896068 loss_bbox: 0.325548 loss_dfl: 0.199685 loss: 1.432511 eta: 1 day, 20:09:43 batch_cost: 2.7499 data_cost: 0.0017 ips: 29.0920 images/s [10/15 06:41:00] ppdet.engine INFO: Epoch: [144] [180/366] learning_rate: 0.211530 loss_vfl: 0.909021 loss_bbox: 0.320886 loss_dfl: 0.193491 loss: 1.435893 eta: 1 day, 20:08:46 batch_cost: 2.7419 data_cost: 0.0017 ips: 29.1767 images/s [10/15 06:41:58] ppdet.engine INFO: Epoch: [144] [200/366] learning_rate: 0.211416 loss_vfl: 0.899746 loss_bbox: 0.317618 loss_dfl: 0.197122 loss: 1.421429 eta: 1 day, 20:07:50 batch_cost: 2.7762 data_cost: 0.0016 ips: 28.8162 images/s [10/15 06:42:57] ppdet.engine INFO: Epoch: [144] [220/366] learning_rate: 0.211301 loss_vfl: 0.901845 loss_bbox: 0.319620 loss_dfl: 0.193582 loss: 1.399564 eta: 1 day, 20:06:53 batch_cost: 2.7632 data_cost: 0.0017 ips: 28.9517 images/s [10/15 06:43:54] ppdet.engine INFO: Epoch: [144] [240/366] learning_rate: 0.211187 loss_vfl: 0.927310 loss_bbox: 0.311654 loss_dfl: 0.197062 loss: 1.425428 eta: 1 day, 20:05:56 batch_cost: 2.7214 data_cost: 0.0016 ips: 29.3970 images/s [10/15 06:44:52] ppdet.engine INFO: Epoch: [144] [260/366] learning_rate: 0.211073 loss_vfl: 0.901326 loss_bbox: 0.338550 loss_dfl: 0.209618 loss: 1.454636 eta: 1 day, 20:05:00 batch_cost: 2.7764 data_cost: 0.0016 ips: 28.8141 images/s [10/15 06:45:51] ppdet.engine INFO: Epoch: [144] [280/366] learning_rate: 0.210959 loss_vfl: 0.918457 loss_bbox: 0.316317 loss_dfl: 0.193484 loss: 1.434422 eta: 1 day, 20:04:04 batch_cost: 2.7701 data_cost: 0.0017 ips: 28.8802 images/s [10/15 06:46:49] ppdet.engine INFO: Epoch: [144] [300/366] learning_rate: 0.210844 loss_vfl: 0.909222 loss_bbox: 0.331184 loss_dfl: 0.199716 loss: 1.430409 eta: 1 day, 20:03:07 batch_cost: 2.7656 data_cost: 0.0016 ips: 28.9265 images/s [10/15 06:47:48] ppdet.engine INFO: Epoch: [144] [320/366] learning_rate: 0.210730 loss_vfl: 0.912534 loss_bbox: 0.312062 loss_dfl: 0.193714 loss: 1.420227 eta: 1 day, 20:02:11 batch_cost: 2.7811 data_cost: 0.0016 ips: 28.7658 images/s [10/15 06:48:45] ppdet.engine INFO: Epoch: [144] [340/366] learning_rate: 0.210616 loss_vfl: 0.903913 loss_bbox: 0.313303 loss_dfl: 0.189072 loss: 1.411946 eta: 1 day, 20:01:14 batch_cost: 2.7295 data_cost: 0.0017 ips: 29.3090 images/s [10/15 06:49:37] ppdet.engine INFO: Epoch: [144] [360/366] learning_rate: 0.210501 loss_vfl: 0.885918 loss_bbox: 0.326210 loss_dfl: 0.202705 loss: 1.414580 eta: 1 day, 20:00:10 batch_cost: 2.4341 data_cost: 0.0016 ips: 32.8661 images/s [10/15 06:50:14] ppdet.engine INFO: Epoch: [145] [ 0/366] learning_rate: 0.210467 loss_vfl: 0.893418 loss_bbox: 0.329669 loss_dfl: 0.203959 loss: 1.427218 eta: 1 day, 20:00:11 batch_cost: 3.2674 data_cost: 0.5299 ips: 24.4846 images/s [10/15 06:51:13] ppdet.engine INFO: Epoch: [145] [ 20/366] learning_rate: 0.210353 loss_vfl: 0.890484 loss_bbox: 0.343961 loss_dfl: 0.205863 loss: 1.455754 eta: 1 day, 19:59:15 batch_cost: 2.7889 data_cost: 0.0017 ips: 28.6850 images/s [10/15 06:52:11] ppdet.engine INFO: Epoch: [145] [ 40/366] learning_rate: 0.210239 loss_vfl: 0.912785 loss_bbox: 0.294933 loss_dfl: 0.196547 loss: 1.430422 eta: 1 day, 19:58:19 batch_cost: 2.7761 data_cost: 0.0017 ips: 28.8173 images/s [10/15 06:53:10] ppdet.engine INFO: Epoch: [145] [ 60/366] learning_rate: 0.210124 loss_vfl: 0.917458 loss_bbox: 0.326203 loss_dfl: 0.198281 loss: 1.443251 eta: 1 day, 19:57:23 batch_cost: 2.7843 data_cost: 0.0016 ips: 28.7330 images/s [10/15 06:54:09] ppdet.engine INFO: Epoch: [145] [ 80/366] learning_rate: 0.210010 loss_vfl: 0.910479 loss_bbox: 0.308193 loss_dfl: 0.189609 loss: 1.416113 eta: 1 day, 19:56:27 batch_cost: 2.7967 data_cost: 0.0017 ips: 28.6049 images/s [10/15 06:55:07] ppdet.engine INFO: Epoch: [145] [100/366] learning_rate: 0.209896 loss_vfl: 0.916373 loss_bbox: 0.318808 loss_dfl: 0.199146 loss: 1.423400 eta: 1 day, 19:55:31 batch_cost: 2.8002 data_cost: 0.0017 ips: 28.5690 images/s [10/15 06:56:04] ppdet.engine INFO: Epoch: [145] [120/366] learning_rate: 0.209781 loss_vfl: 0.898855 loss_bbox: 0.319056 loss_dfl: 0.194679 loss: 1.411697 eta: 1 day, 19:54:33 batch_cost: 2.7000 data_cost: 0.0016 ips: 29.6299 images/s [10/15 06:57:03] ppdet.engine INFO: Epoch: [145] [140/366] learning_rate: 0.209667 loss_vfl: 0.893079 loss_bbox: 0.326822 loss_dfl: 0.202336 loss: 1.413028 eta: 1 day, 19:53:37 batch_cost: 2.7636 data_cost: 0.0027 ips: 28.9478 images/s [10/15 06:58:00] ppdet.engine INFO: Epoch: [145] [160/366] learning_rate: 0.209553 loss_vfl: 0.905836 loss_bbox: 0.320519 loss_dfl: 0.195068 loss: 1.429074 eta: 1 day, 19:52:39 batch_cost: 2.7141 data_cost: 0.0016 ips: 29.4760 images/s [10/15 06:58:57] ppdet.engine INFO: Epoch: [145] [180/366] learning_rate: 0.209438 loss_vfl: 0.905024 loss_bbox: 0.327547 loss_dfl: 0.196669 loss: 1.419809 eta: 1 day, 19:51:41 batch_cost: 2.6971 data_cost: 0.0016 ips: 29.6620 images/s [10/15 06:59:55] ppdet.engine INFO: Epoch: [145] [200/366] learning_rate: 0.209324 loss_vfl: 0.897815 loss_bbox: 0.330710 loss_dfl: 0.203152 loss: 1.439750 eta: 1 day, 19:50:45 batch_cost: 2.7754 data_cost: 0.0016 ips: 28.8248 images/s [10/15 07:00:53] ppdet.engine INFO: Epoch: [145] [220/366] learning_rate: 0.209210 loss_vfl: 0.899370 loss_bbox: 0.313594 loss_dfl: 0.195473 loss: 1.415299 eta: 1 day, 19:49:48 batch_cost: 2.7442 data_cost: 0.0017 ips: 29.1519 images/s [10/15 07:01:53] ppdet.engine INFO: Epoch: [145] [240/366] learning_rate: 0.209095 loss_vfl: 0.900259 loss_bbox: 0.311592 loss_dfl: 0.190572 loss: 1.423845 eta: 1 day, 19:48:53 batch_cost: 2.8299 data_cost: 0.0016 ips: 28.2700 images/s [10/15 07:02:52] ppdet.engine INFO: Epoch: [145] [260/366] learning_rate: 0.208981 loss_vfl: 0.910575 loss_bbox: 0.313145 loss_dfl: 0.189467 loss: 1.422174 eta: 1 day, 19:47:58 batch_cost: 2.7976 data_cost: 0.0015 ips: 28.5956 images/s [10/15 07:03:50] ppdet.engine INFO: Epoch: [145] [280/366] learning_rate: 0.208867 loss_vfl: 0.903902 loss_bbox: 0.316889 loss_dfl: 0.192193 loss: 1.425241 eta: 1 day, 19:47:02 batch_cost: 2.7910 data_cost: 0.0016 ips: 28.6638 images/s [10/15 07:04:47] ppdet.engine INFO: Epoch: [145] [300/366] learning_rate: 0.208752 loss_vfl: 0.899018 loss_bbox: 0.296307 loss_dfl: 0.188913 loss: 1.386641 eta: 1 day, 19:46:04 batch_cost: 2.7073 data_cost: 0.0017 ips: 29.5500 images/s [10/15 07:05:46] ppdet.engine INFO: Epoch: [145] [320/366] learning_rate: 0.208638 loss_vfl: 0.919563 loss_bbox: 0.317224 loss_dfl: 0.193110 loss: 1.430545 eta: 1 day, 19:45:08 batch_cost: 2.7612 data_cost: 0.0017 ips: 28.9733 images/s [10/15 07:06:43] ppdet.engine INFO: Epoch: [145] [340/366] learning_rate: 0.208524 loss_vfl: 0.902751 loss_bbox: 0.314567 loss_dfl: 0.198363 loss: 1.420370 eta: 1 day, 19:44:10 batch_cost: 2.6953 data_cost: 0.0017 ips: 29.6809 images/s [10/15 07:07:35] ppdet.engine INFO: Epoch: [145] [360/366] learning_rate: 0.208409 loss_vfl: 0.900576 loss_bbox: 0.318818 loss_dfl: 0.196019 loss: 1.420813 eta: 1 day, 19:43:07 batch_cost: 2.4811 data_cost: 0.0016 ips: 32.2437 images/s [10/15 07:08:12] ppdet.engine INFO: Epoch: [146] [ 0/366] learning_rate: 0.208375 loss_vfl: 0.893155 loss_bbox: 0.322187 loss_dfl: 0.195033 loss: 1.410034 eta: 1 day, 19:43:07 batch_cost: 3.3018 data_cost: 0.3728 ips: 24.2293 images/s [10/15 07:09:11] ppdet.engine INFO: Epoch: [146] [ 20/366] learning_rate: 0.208261 loss_vfl: 0.908476 loss_bbox: 0.305427 loss_dfl: 0.196870 loss: 1.407274 eta: 1 day, 19:42:11 batch_cost: 2.7768 data_cost: 0.0023 ips: 28.8106 images/s [10/15 07:10:08] ppdet.engine INFO: Epoch: [146] [ 40/366] learning_rate: 0.208146 loss_vfl: 0.907943 loss_bbox: 0.314613 loss_dfl: 0.192105 loss: 1.424526 eta: 1 day, 19:41:14 batch_cost: 2.7238 data_cost: 0.0017 ips: 29.3703 images/s [10/15 07:11:06] ppdet.engine INFO: Epoch: [146] [ 60/366] learning_rate: 0.208032 loss_vfl: 0.907649 loss_bbox: 0.317840 loss_dfl: 0.193043 loss: 1.417832 eta: 1 day, 19:40:17 batch_cost: 2.7358 data_cost: 0.0016 ips: 29.2418 images/s [10/15 07:12:03] ppdet.engine INFO: Epoch: [146] [ 80/366] learning_rate: 0.207918 loss_vfl: 0.920105 loss_bbox: 0.307221 loss_dfl: 0.190861 loss: 1.404469 eta: 1 day, 19:39:19 batch_cost: 2.6953 data_cost: 0.0016 ips: 29.6811 images/s [10/15 07:13:00] ppdet.engine INFO: Epoch: [146] [100/366] learning_rate: 0.207803 loss_vfl: 0.909529 loss_bbox: 0.312902 loss_dfl: 0.193071 loss: 1.413559 eta: 1 day, 19:38:21 batch_cost: 2.6741 data_cost: 0.0016 ips: 29.9166 images/s [10/15 07:13:57] ppdet.engine INFO: Epoch: [146] [120/366] learning_rate: 0.207689 loss_vfl: 0.913761 loss_bbox: 0.308306 loss_dfl: 0.194624 loss: 1.413175 eta: 1 day, 19:37:23 batch_cost: 2.7220 data_cost: 0.0016 ips: 29.3907 images/s [10/15 07:14:54] ppdet.engine INFO: Epoch: [146] [140/366] learning_rate: 0.207575 loss_vfl: 0.911306 loss_bbox: 0.311664 loss_dfl: 0.196221 loss: 1.424900 eta: 1 day, 19:36:25 batch_cost: 2.6907 data_cost: 0.0017 ips: 29.7325 images/s [10/15 07:15:50] ppdet.engine INFO: Epoch: [146] [160/366] learning_rate: 0.207460 loss_vfl: 0.895099 loss_bbox: 0.324562 loss_dfl: 0.199948 loss: 1.420713 eta: 1 day, 19:35:26 batch_cost: 2.6366 data_cost: 0.0016 ips: 30.3417 images/s [10/15 07:16:47] ppdet.engine INFO: Epoch: [146] [180/366] learning_rate: 0.207346 loss_vfl: 0.915294 loss_bbox: 0.316693 loss_dfl: 0.196062 loss: 1.426151 eta: 1 day, 19:34:29 batch_cost: 2.7234 data_cost: 0.0016 ips: 29.3755 images/s [10/15 07:17:44] ppdet.engine INFO: Epoch: [146] [200/366] learning_rate: 0.207232 loss_vfl: 0.893502 loss_bbox: 0.319723 loss_dfl: 0.194475 loss: 1.425081 eta: 1 day, 19:33:32 batch_cost: 2.7246 data_cost: 0.0016 ips: 29.3622 images/s [10/15 07:18:41] ppdet.engine INFO: Epoch: [146] [220/366] learning_rate: 0.207117 loss_vfl: 0.907599 loss_bbox: 0.313717 loss_dfl: 0.192210 loss: 1.414110 eta: 1 day, 19:32:34 batch_cost: 2.6957 data_cost: 0.0022 ips: 29.6764 images/s [10/15 07:19:38] ppdet.engine INFO: Epoch: [146] [240/366] learning_rate: 0.207003 loss_vfl: 0.888186 loss_bbox: 0.330408 loss_dfl: 0.195531 loss: 1.415642 eta: 1 day, 19:31:36 batch_cost: 2.6891 data_cost: 0.0016 ips: 29.7502 images/s [10/15 07:20:35] ppdet.engine INFO: Epoch: [146] [260/366] learning_rate: 0.206888 loss_vfl: 0.918276 loss_bbox: 0.298952 loss_dfl: 0.193318 loss: 1.411322 eta: 1 day, 19:30:37 batch_cost: 2.6669 data_cost: 0.0016 ips: 29.9976 images/s [10/15 07:21:30] ppdet.engine INFO: Epoch: [146] [280/366] learning_rate: 0.206774 loss_vfl: 0.894427 loss_bbox: 0.311542 loss_dfl: 0.194103 loss: 1.415580 eta: 1 day, 19:29:38 batch_cost: 2.6467 data_cost: 0.0016 ips: 30.2261 images/s [10/15 07:22:27] ppdet.engine INFO: Epoch: [146] [300/366] learning_rate: 0.206660 loss_vfl: 0.911901 loss_bbox: 0.320782 loss_dfl: 0.195162 loss: 1.445453 eta: 1 day, 19:28:40 batch_cost: 2.6878 data_cost: 0.0016 ips: 29.7647 images/s [10/15 07:23:23] ppdet.engine INFO: Epoch: [146] [320/366] learning_rate: 0.206545 loss_vfl: 0.906234 loss_bbox: 0.312189 loss_dfl: 0.198526 loss: 1.404213 eta: 1 day, 19:27:42 batch_cost: 2.6544 data_cost: 0.0016 ips: 30.1390 images/s [10/15 07:24:19] ppdet.engine INFO: Epoch: [146] [340/366] learning_rate: 0.206431 loss_vfl: 0.902360 loss_bbox: 0.323450 loss_dfl: 0.197722 loss: 1.417845 eta: 1 day, 19:26:43 batch_cost: 2.6449 data_cost: 0.0016 ips: 30.2465 images/s [10/15 07:25:11] ppdet.engine INFO: Epoch: [146] [360/366] learning_rate: 0.206316 loss_vfl: 0.927118 loss_bbox: 0.301008 loss_dfl: 0.192425 loss: 1.404902 eta: 1 day, 19:25:40 batch_cost: 2.4428 data_cost: 0.0019 ips: 32.7492 images/s [10/15 07:25:47] ppdet.engine INFO: Epoch: [147] [ 0/366] learning_rate: 0.206282 loss_vfl: 0.926379 loss_bbox: 0.294825 loss_dfl: 0.187659 loss: 1.402819 eta: 1 day, 19:25:39 batch_cost: 3.2228 data_cost: 0.3747 ips: 24.8228 images/s [10/15 07:26:46] ppdet.engine INFO: Epoch: [147] [ 20/366] learning_rate: 0.206168 loss_vfl: 0.887537 loss_bbox: 0.312712 loss_dfl: 0.193868 loss: 1.404113 eta: 1 day, 19:24:42 batch_cost: 2.7731 data_cost: 0.0018 ips: 28.8490 images/s [10/15 07:27:43] ppdet.engine INFO: Epoch: [147] [ 40/366] learning_rate: 0.206053 loss_vfl: 0.905261 loss_bbox: 0.296494 loss_dfl: 0.185166 loss: 1.396317 eta: 1 day, 19:23:45 batch_cost: 2.7225 data_cost: 0.0016 ips: 29.3850 images/s [10/15 07:28:41] ppdet.engine INFO: Epoch: [147] [ 60/366] learning_rate: 0.205939 loss_vfl: 0.903478 loss_bbox: 0.329709 loss_dfl: 0.198556 loss: 1.436112 eta: 1 day, 19:22:48 batch_cost: 2.7257 data_cost: 0.0017 ips: 29.3507 images/s [10/15 07:29:38] ppdet.engine INFO: Epoch: [147] [ 80/366] learning_rate: 0.205825 loss_vfl: 0.891674 loss_bbox: 0.321084 loss_dfl: 0.195223 loss: 1.432064 eta: 1 day, 19:21:50 batch_cost: 2.7037 data_cost: 0.0016 ips: 29.5890 images/s [10/15 07:30:34] ppdet.engine INFO: Epoch: [147] [100/366] learning_rate: 0.205710 loss_vfl: 0.902187 loss_bbox: 0.335770 loss_dfl: 0.206843 loss: 1.459049 eta: 1 day, 19:20:52 batch_cost: 2.6921 data_cost: 0.0016 ips: 29.7170 images/s [10/15 07:31:32] ppdet.engine INFO: Epoch: [147] [120/366] learning_rate: 0.205596 loss_vfl: 0.899414 loss_bbox: 0.311169 loss_dfl: 0.194048 loss: 1.406971 eta: 1 day, 19:19:55 batch_cost: 2.7299 data_cost: 0.0017 ips: 29.3047 images/s [10/15 07:32:30] ppdet.engine INFO: Epoch: [147] [140/366] learning_rate: 0.205481 loss_vfl: 0.907663 loss_bbox: 0.322500 loss_dfl: 0.197703 loss: 1.441453 eta: 1 day, 19:18:58 batch_cost: 2.7422 data_cost: 0.0017 ips: 29.1740 images/s [10/15 07:33:28] ppdet.engine INFO: Epoch: [147] [160/366] learning_rate: 0.205367 loss_vfl: 0.924982 loss_bbox: 0.313943 loss_dfl: 0.192726 loss: 1.426275 eta: 1 day, 19:18:02 batch_cost: 2.7620 data_cost: 0.0016 ips: 28.9646 images/s [10/15 07:34:25] ppdet.engine INFO: Epoch: [147] [180/366] learning_rate: 0.205253 loss_vfl: 0.897678 loss_bbox: 0.329671 loss_dfl: 0.203739 loss: 1.424614 eta: 1 day, 19:17:04 batch_cost: 2.6839 data_cost: 0.0016 ips: 29.8072 images/s [10/15 07:35:23] ppdet.engine INFO: Epoch: [147] [200/366] learning_rate: 0.205138 loss_vfl: 0.910179 loss_bbox: 0.310953 loss_dfl: 0.189337 loss: 1.413906 eta: 1 day, 19:16:07 batch_cost: 2.7319 data_cost: 0.0017 ips: 29.2840 images/s [10/15 07:36:20] ppdet.engine INFO: Epoch: [147] [220/366] learning_rate: 0.205024 loss_vfl: 0.898751 loss_bbox: 0.315941 loss_dfl: 0.195536 loss: 1.403066 eta: 1 day, 19:15:09 batch_cost: 2.7166 data_cost: 0.0018 ips: 29.4489 images/s [10/15 07:37:15] ppdet.engine INFO: Epoch: [147] [240/366] learning_rate: 0.204909 loss_vfl: 0.886932 loss_bbox: 0.319028 loss_dfl: 0.195181 loss: 1.406356 eta: 1 day, 19:14:10 batch_cost: 2.6082 data_cost: 0.0017 ips: 30.6729 images/s [10/15 07:38:10] ppdet.engine INFO: Epoch: [147] [260/366] learning_rate: 0.204795 loss_vfl: 0.913432 loss_bbox: 0.328247 loss_dfl: 0.196580 loss: 1.442865 eta: 1 day, 19:13:10 batch_cost: 2.6229 data_cost: 0.0016 ips: 30.5008 images/s [10/15 07:39:07] ppdet.engine INFO: Epoch: [147] [280/366] learning_rate: 0.204680 loss_vfl: 0.905477 loss_bbox: 0.308341 loss_dfl: 0.193984 loss: 1.420067 eta: 1 day, 19:12:13 batch_cost: 2.7176 data_cost: 0.0016 ips: 29.4373 images/s [10/15 07:40:04] ppdet.engine INFO: Epoch: [147] [300/366] learning_rate: 0.204566 loss_vfl: 0.895485 loss_bbox: 0.319366 loss_dfl: 0.196337 loss: 1.420692 eta: 1 day, 19:11:15 batch_cost: 2.6905 data_cost: 0.0016 ips: 29.7344 images/s [10/15 07:41:03] ppdet.engine INFO: Epoch: [147] [320/366] learning_rate: 0.204452 loss_vfl: 0.908707 loss_bbox: 0.300385 loss_dfl: 0.195525 loss: 1.418651 eta: 1 day, 19:10:19 batch_cost: 2.7618 data_cost: 0.0017 ips: 28.9671 images/s [10/15 07:41:59] ppdet.engine INFO: Epoch: [147] [340/366] learning_rate: 0.204337 loss_vfl: 0.894584 loss_bbox: 0.323914 loss_dfl: 0.197846 loss: 1.402718 eta: 1 day, 19:09:20 batch_cost: 2.6567 data_cost: 0.0016 ips: 30.1130 images/s [10/15 07:42:52] ppdet.engine INFO: Epoch: [147] [360/366] learning_rate: 0.204223 loss_vfl: 0.906605 loss_bbox: 0.324637 loss_dfl: 0.202051 loss: 1.454885 eta: 1 day, 19:08:18 batch_cost: 2.4969 data_cost: 0.0016 ips: 32.0397 images/s [10/15 07:43:33] ppdet.engine INFO: Epoch: [148] [ 0/366] learning_rate: 0.204188 loss_vfl: 0.915458 loss_bbox: 0.320261 loss_dfl: 0.199111 loss: 1.440192 eta: 1 day, 19:08:22 batch_cost: 3.4886 data_cost: 0.6869 ips: 22.9316 images/s [10/15 07:44:32] ppdet.engine INFO: Epoch: [148] [ 20/366] learning_rate: 0.204074 loss_vfl: 0.904564 loss_bbox: 0.323967 loss_dfl: 0.198766 loss: 1.412739 eta: 1 day, 19:07:26 batch_cost: 2.8173 data_cost: 0.0017 ips: 28.3955 images/s [10/15 07:45:29] ppdet.engine INFO: Epoch: [148] [ 40/366] learning_rate: 0.203960 loss_vfl: 0.887743 loss_bbox: 0.326351 loss_dfl: 0.194664 loss: 1.406096 eta: 1 day, 19:06:29 batch_cost: 2.6938 data_cost: 0.0017 ips: 29.6979 images/s [10/15 07:46:26] ppdet.engine INFO: Epoch: [148] [ 60/366] learning_rate: 0.203845 loss_vfl: 0.899606 loss_bbox: 0.324734 loss_dfl: 0.202721 loss: 1.421944 eta: 1 day, 19:05:31 batch_cost: 2.7093 data_cost: 0.0017 ips: 29.5280 images/s [10/15 07:47:24] ppdet.engine INFO: Epoch: [148] [ 80/366] learning_rate: 0.203731 loss_vfl: 0.899364 loss_bbox: 0.325406 loss_dfl: 0.199430 loss: 1.435412 eta: 1 day, 19:04:34 batch_cost: 2.7528 data_cost: 0.0016 ips: 29.0613 images/s [10/15 07:48:21] ppdet.engine INFO: Epoch: [148] [100/366] learning_rate: 0.203616 loss_vfl: 0.893587 loss_bbox: 0.312292 loss_dfl: 0.191221 loss: 1.400576 eta: 1 day, 19:03:36 batch_cost: 2.6849 data_cost: 0.0016 ips: 29.7957 images/s [10/15 07:49:17] ppdet.engine INFO: Epoch: [148] [120/366] learning_rate: 0.203502 loss_vfl: 0.916984 loss_bbox: 0.322518 loss_dfl: 0.198513 loss: 1.443680 eta: 1 day, 19:02:38 batch_cost: 2.6521 data_cost: 0.0016 ips: 30.1649 images/s [10/15 07:50:13] ppdet.engine INFO: Epoch: [148] [140/366] learning_rate: 0.203387 loss_vfl: 0.909166 loss_bbox: 0.312147 loss_dfl: 0.193809 loss: 1.412547 eta: 1 day, 19:01:39 batch_cost: 2.6579 data_cost: 0.0017 ips: 30.0991 images/s [10/15 07:51:10] ppdet.engine INFO: Epoch: [148] [160/366] learning_rate: 0.203273 loss_vfl: 0.918920 loss_bbox: 0.318482 loss_dfl: 0.201066 loss: 1.421176 eta: 1 day, 19:00:41 batch_cost: 2.6907 data_cost: 0.0016 ips: 29.7323 images/s [10/15 07:52:06] ppdet.engine INFO: Epoch: [148] [180/366] learning_rate: 0.203159 loss_vfl: 0.894659 loss_bbox: 0.326111 loss_dfl: 0.196953 loss: 1.425592 eta: 1 day, 18:59:43 batch_cost: 2.6664 data_cost: 0.0016 ips: 30.0031 images/s [10/15 07:53:03] ppdet.engine INFO: Epoch: [148] [200/366] learning_rate: 0.203044 loss_vfl: 0.921636 loss_bbox: 0.319460 loss_dfl: 0.195893 loss: 1.428672 eta: 1 day, 18:58:45 batch_cost: 2.6978 data_cost: 0.0016 ips: 29.6534 images/s [10/15 07:54:00] ppdet.engine INFO: Epoch: [148] [220/366] learning_rate: 0.202930 loss_vfl: 0.896267 loss_bbox: 0.334510 loss_dfl: 0.198167 loss: 1.431482 eta: 1 day, 18:57:48 batch_cost: 2.7198 data_cost: 0.0016 ips: 29.4141 images/s [10/15 07:54:58] ppdet.engine INFO: Epoch: [148] [240/366] learning_rate: 0.202815 loss_vfl: 0.908045 loss_bbox: 0.310217 loss_dfl: 0.194386 loss: 1.401210 eta: 1 day, 18:56:51 batch_cost: 2.7562 data_cost: 0.0017 ips: 29.0260 images/s [10/15 07:55:55] ppdet.engine INFO: Epoch: [148] [260/366] learning_rate: 0.202701 loss_vfl: 0.923872 loss_bbox: 0.315747 loss_dfl: 0.190165 loss: 1.427439 eta: 1 day, 18:55:54 batch_cost: 2.7034 data_cost: 0.0017 ips: 29.5925 images/s [10/15 07:56:53] ppdet.engine INFO: Epoch: [148] [280/366] learning_rate: 0.202586 loss_vfl: 0.910025 loss_bbox: 0.328287 loss_dfl: 0.204969 loss: 1.452790 eta: 1 day, 18:54:57 batch_cost: 2.7200 data_cost: 0.0017 ips: 29.4116 images/s [10/15 07:57:49] ppdet.engine INFO: Epoch: [148] [300/366] learning_rate: 0.202472 loss_vfl: 0.911002 loss_bbox: 0.299121 loss_dfl: 0.187853 loss: 1.424056 eta: 1 day, 18:53:58 batch_cost: 2.6635 data_cost: 0.0016 ips: 30.0359 images/s [10/15 07:58:45] ppdet.engine INFO: Epoch: [148] [320/366] learning_rate: 0.202358 loss_vfl: 0.901702 loss_bbox: 0.298200 loss_dfl: 0.190008 loss: 1.395875 eta: 1 day, 18:52:59 batch_cost: 2.6524 data_cost: 0.0017 ips: 30.1608 images/s [10/15 07:59:40] ppdet.engine INFO: Epoch: [148] [340/366] learning_rate: 0.202243 loss_vfl: 0.908282 loss_bbox: 0.309554 loss_dfl: 0.191048 loss: 1.409683 eta: 1 day, 18:52:00 batch_cost: 2.6006 data_cost: 0.0016 ips: 30.7623 images/s [10/15 08:00:34] ppdet.engine INFO: Epoch: [148] [360/366] learning_rate: 0.202129 loss_vfl: 0.920675 loss_bbox: 0.318365 loss_dfl: 0.198122 loss: 1.428482 eta: 1 day, 18:50:59 batch_cost: 2.5631 data_cost: 0.0015 ips: 31.2117 images/s [10/15 08:01:12] ppdet.engine INFO: Epoch: [149] [ 0/366] learning_rate: 0.202094 loss_vfl: 0.898290 loss_bbox: 0.326919 loss_dfl: 0.201584 loss: 1.433098 eta: 1 day, 18:51:00 batch_cost: 3.4334 data_cost: 0.5895 ips: 23.3007 images/s [10/15 08:02:11] ppdet.engine INFO: Epoch: [149] [ 20/366] learning_rate: 0.201980 loss_vfl: 0.898806 loss_bbox: 0.308660 loss_dfl: 0.194501 loss: 1.409771 eta: 1 day, 18:50:04 batch_cost: 2.7988 data_cost: 0.0018 ips: 28.5836 images/s [10/15 08:03:10] ppdet.engine INFO: Epoch: [149] [ 40/366] learning_rate: 0.201865 loss_vfl: 0.899321 loss_bbox: 0.308441 loss_dfl: 0.199126 loss: 1.413602 eta: 1 day, 18:49:08 batch_cost: 2.7884 data_cost: 0.0017 ips: 28.6902 images/s [10/15 08:04:09] ppdet.engine INFO: Epoch: [149] [ 60/366] learning_rate: 0.201751 loss_vfl: 0.899148 loss_bbox: 0.335283 loss_dfl: 0.203143 loss: 1.431070 eta: 1 day, 18:48:12 batch_cost: 2.7556 data_cost: 0.0018 ips: 29.0320 images/s [10/15 08:05:06] ppdet.engine INFO: Epoch: [149] [ 80/366] learning_rate: 0.201637 loss_vfl: 0.915589 loss_bbox: 0.308623 loss_dfl: 0.193454 loss: 1.425649 eta: 1 day, 18:47:15 batch_cost: 2.7213 data_cost: 0.0017 ips: 29.3982 images/s [10/15 08:06:02] ppdet.engine INFO: Epoch: [149] [100/366] learning_rate: 0.201522 loss_vfl: 0.898690 loss_bbox: 0.309691 loss_dfl: 0.195422 loss: 1.397819 eta: 1 day, 18:46:16 batch_cost: 2.6580 data_cost: 0.0016 ips: 30.0973 images/s [10/15 08:06:59] ppdet.engine INFO: Epoch: [149] [120/366] learning_rate: 0.201408 loss_vfl: 0.897996 loss_bbox: 0.319136 loss_dfl: 0.200488 loss: 1.428050 eta: 1 day, 18:45:18 batch_cost: 2.6850 data_cost: 0.0016 ips: 29.7951 images/s [10/15 08:07:56] ppdet.engine INFO: Epoch: [149] [140/366] learning_rate: 0.201293 loss_vfl: 0.887066 loss_bbox: 0.308007 loss_dfl: 0.196655 loss: 1.397058 eta: 1 day, 18:44:20 batch_cost: 2.6952 data_cost: 0.0016 ips: 29.6827 images/s [10/15 08:08:52] ppdet.engine INFO: Epoch: [149] [160/366] learning_rate: 0.201179 loss_vfl: 0.906537 loss_bbox: 0.308572 loss_dfl: 0.192975 loss: 1.406777 eta: 1 day, 18:43:22 batch_cost: 2.6617 data_cost: 0.0016 ips: 30.0559 images/s [10/15 08:09:49] ppdet.engine INFO: Epoch: [149] [180/366] learning_rate: 0.201064 loss_vfl: 0.902357 loss_bbox: 0.310721 loss_dfl: 0.195257 loss: 1.401218 eta: 1 day, 18:42:24 batch_cost: 2.6929 data_cost: 0.0016 ips: 29.7082 images/s [10/15 08:10:45] ppdet.engine INFO: Epoch: [149] [200/366] learning_rate: 0.200950 loss_vfl: 0.893546 loss_bbox: 0.319247 loss_dfl: 0.196482 loss: 1.418143 eta: 1 day, 18:41:26 batch_cost: 2.6740 data_cost: 0.0016 ips: 29.9178 images/s [10/15 08:11:43] ppdet.engine INFO: Epoch: [149] [220/366] learning_rate: 0.200835 loss_vfl: 0.889065 loss_bbox: 0.330195 loss_dfl: 0.197945 loss: 1.423059 eta: 1 day, 18:40:28 batch_cost: 2.7097 data_cost: 0.0016 ips: 29.5240 images/s [10/15 08:12:39] ppdet.engine INFO: Epoch: [149] [240/366] learning_rate: 0.200721 loss_vfl: 0.898593 loss_bbox: 0.319170 loss_dfl: 0.196141 loss: 1.419110 eta: 1 day, 18:39:31 batch_cost: 2.6849 data_cost: 0.0016 ips: 29.7963 images/s [10/15 08:13:37] ppdet.engine INFO: Epoch: [149] [260/366] learning_rate: 0.200607 loss_vfl: 0.905734 loss_bbox: 0.324403 loss_dfl: 0.201622 loss: 1.440660 eta: 1 day, 18:38:34 batch_cost: 2.7388 data_cost: 0.0017 ips: 29.2099 images/s [10/15 08:14:33] ppdet.engine INFO: Epoch: [149] [280/366] learning_rate: 0.200492 loss_vfl: 0.912389 loss_bbox: 0.323408 loss_dfl: 0.201626 loss: 1.444703 eta: 1 day, 18:37:36 batch_cost: 2.6781 data_cost: 0.0016 ips: 29.8720 images/s [10/15 08:15:30] ppdet.engine INFO: Epoch: [149] [300/366] learning_rate: 0.200378 loss_vfl: 0.907603 loss_bbox: 0.337608 loss_dfl: 0.205752 loss: 1.461274 eta: 1 day, 18:36:38 batch_cost: 2.6976 data_cost: 0.0016 ips: 29.6560 images/s [10/15 08:16:28] ppdet.engine INFO: Epoch: [149] [320/366] learning_rate: 0.200263 loss_vfl: 0.912762 loss_bbox: 0.323032 loss_dfl: 0.200348 loss: 1.434358 eta: 1 day, 18:35:41 batch_cost: 2.7188 data_cost: 0.0016 ips: 29.4250 images/s [10/15 08:17:24] ppdet.engine INFO: Epoch: [149] [340/366] learning_rate: 0.200149 loss_vfl: 0.899787 loss_bbox: 0.328283 loss_dfl: 0.197221 loss: 1.412228 eta: 1 day, 18:34:42 batch_cost: 2.6649 data_cost: 0.0017 ips: 30.0193 images/s [10/15 08:18:17] ppdet.engine INFO: Epoch: [149] [360/366] learning_rate: 0.200034 loss_vfl: 0.898880 loss_bbox: 0.333935 loss_dfl: 0.198715 loss: 1.427336 eta: 1 day, 18:33:41 batch_cost: 2.5148 data_cost: 0.0016 ips: 31.8116 images/s [10/15 08:18:34] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 08:18:34] ppdet.engine INFO: Eval iter: 0 [10/15 08:19:14] ppdet.engine INFO: Eval iter: 100 [10/15 08:19:37] ppdet.engine INFO: Eval iter: 200 [10/15 08:19:59] ppdet.engine INFO: Eval iter: 300 [10/15 08:20:22] ppdet.engine INFO: Eval iter: 400 [10/15 08:20:45] ppdet.engine INFO: Eval iter: 500 [10/15 08:21:09] ppdet.engine INFO: Eval iter: 600 [10/15 08:21:30] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 08:21:31] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.92s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.21s). Accumulating evaluation results... DONE (t=16.93s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.291 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.436 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.104 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.270 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 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.185 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.500 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700 [10/15 08:23:31] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.731606043117388 [10/15 08:23:31] ppdet.engine INFO: Best test bbox ap is 0.291. [10/15 08:23:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 08:23:34] ppdet.engine INFO: Epoch: [150] [ 0/366] learning_rate: 0.200000 loss_vfl: 0.899727 loss_bbox: 0.316871 loss_dfl: 0.197311 loss: 1.432785 eta: 1 day, 18:33:22 batch_cost: 2.4007 data_cost: 0.0016 ips: 33.3242 images/s [10/15 08:24:35] ppdet.engine INFO: Epoch: [150] [ 20/366] learning_rate: 0.199886 loss_vfl: 0.887202 loss_bbox: 0.312708 loss_dfl: 0.195439 loss: 1.398171 eta: 1 day, 18:32:28 batch_cost: 2.9199 data_cost: 0.0018 ips: 27.3980 images/s [10/15 08:25:34] ppdet.engine INFO: Epoch: [150] [ 40/366] learning_rate: 0.199771 loss_vfl: 0.898139 loss_bbox: 0.304571 loss_dfl: 0.193247 loss: 1.403175 eta: 1 day, 18:31:33 batch_cost: 2.8171 data_cost: 0.0017 ips: 28.3976 images/s [10/15 08:26:32] ppdet.engine INFO: Epoch: [150] [ 60/366] learning_rate: 0.199657 loss_vfl: 0.899753 loss_bbox: 0.313984 loss_dfl: 0.198629 loss: 1.420732 eta: 1 day, 18:30:37 batch_cost: 2.7527 data_cost: 0.0017 ips: 29.0621 images/s [10/15 08:27:31] ppdet.engine INFO: Epoch: [150] [ 80/366] learning_rate: 0.199542 loss_vfl: 0.898006 loss_bbox: 0.307916 loss_dfl: 0.193293 loss: 1.429779 eta: 1 day, 18:29:40 batch_cost: 2.7746 data_cost: 0.0016 ips: 28.8331 images/s [10/15 08:28:28] ppdet.engine INFO: Epoch: [150] [100/366] learning_rate: 0.199428 loss_vfl: 0.892506 loss_bbox: 0.316618 loss_dfl: 0.199532 loss: 1.398331 eta: 1 day, 18:28:43 batch_cost: 2.7085 data_cost: 0.0016 ips: 29.5365 images/s [10/15 08:29:25] ppdet.engine INFO: Epoch: [150] [120/366] learning_rate: 0.199313 loss_vfl: 0.900273 loss_bbox: 0.290821 loss_dfl: 0.184617 loss: 1.392856 eta: 1 day, 18:27:45 batch_cost: 2.6966 data_cost: 0.0016 ips: 29.6667 images/s [10/15 08:30:22] ppdet.engine INFO: Epoch: [150] [140/366] learning_rate: 0.199199 loss_vfl: 0.900666 loss_bbox: 0.320281 loss_dfl: 0.202188 loss: 1.429090 eta: 1 day, 18:26:48 batch_cost: 2.7025 data_cost: 0.0016 ips: 29.6026 images/s [10/15 08:31:19] ppdet.engine INFO: Epoch: [150] [160/366] learning_rate: 0.199084 loss_vfl: 0.897679 loss_bbox: 0.321808 loss_dfl: 0.195084 loss: 1.426031 eta: 1 day, 18:25:50 batch_cost: 2.7147 data_cost: 0.0017 ips: 29.4690 images/s [10/15 08:32:16] ppdet.engine INFO: Epoch: [150] [180/366] learning_rate: 0.198970 loss_vfl: 0.899104 loss_bbox: 0.327674 loss_dfl: 0.194532 loss: 1.429003 eta: 1 day, 18:24:53 batch_cost: 2.6900 data_cost: 0.0016 ips: 29.7398 images/s [10/15 08:33:14] ppdet.engine INFO: Epoch: [150] [200/366] learning_rate: 0.198856 loss_vfl: 0.902937 loss_bbox: 0.324497 loss_dfl: 0.201370 loss: 1.427409 eta: 1 day, 18:23:57 batch_cost: 2.7758 data_cost: 0.0016 ips: 28.8203 images/s [10/15 08:34:11] ppdet.engine INFO: Epoch: [150] [220/366] learning_rate: 0.198741 loss_vfl: 0.905774 loss_bbox: 0.336580 loss_dfl: 0.201286 loss: 1.415858 eta: 1 day, 18:22:59 batch_cost: 2.7094 data_cost: 0.0017 ips: 29.5266 images/s [10/15 08:35:09] ppdet.engine INFO: Epoch: [150] [240/366] learning_rate: 0.198627 loss_vfl: 0.919302 loss_bbox: 0.315132 loss_dfl: 0.196361 loss: 1.421506 eta: 1 day, 18:22:02 batch_cost: 2.7234 data_cost: 0.0023 ips: 29.3752 images/s [10/15 08:36:04] ppdet.engine INFO: Epoch: [150] [260/366] learning_rate: 0.198512 loss_vfl: 0.898993 loss_bbox: 0.320573 loss_dfl: 0.195717 loss: 1.403867 eta: 1 day, 18:21:03 batch_cost: 2.6311 data_cost: 0.0016 ips: 30.4057 images/s [10/15 08:37:01] ppdet.engine INFO: Epoch: [150] [280/366] learning_rate: 0.198398 loss_vfl: 0.909405 loss_bbox: 0.342710 loss_dfl: 0.204510 loss: 1.447811 eta: 1 day, 18:20:05 batch_cost: 2.6709 data_cost: 0.0016 ips: 29.9529 images/s [10/15 08:37:58] ppdet.engine INFO: Epoch: [150] [300/366] learning_rate: 0.198283 loss_vfl: 0.909755 loss_bbox: 0.330981 loss_dfl: 0.209959 loss: 1.453395 eta: 1 day, 18:19:07 batch_cost: 2.6933 data_cost: 0.0017 ips: 29.7032 images/s [10/15 08:38:56] ppdet.engine INFO: Epoch: [150] [320/366] learning_rate: 0.198169 loss_vfl: 0.913047 loss_bbox: 0.325271 loss_dfl: 0.198430 loss: 1.419174 eta: 1 day, 18:18:10 batch_cost: 2.7490 data_cost: 0.0016 ips: 29.1010 images/s [10/15 08:39:53] ppdet.engine INFO: Epoch: [150] [340/366] learning_rate: 0.198054 loss_vfl: 0.905739 loss_bbox: 0.313359 loss_dfl: 0.193907 loss: 1.416670 eta: 1 day, 18:17:13 batch_cost: 2.7147 data_cost: 0.0016 ips: 29.4693 images/s [10/15 08:40:46] ppdet.engine INFO: Epoch: [150] [360/366] learning_rate: 0.197940 loss_vfl: 0.907761 loss_bbox: 0.315748 loss_dfl: 0.191681 loss: 1.419630 eta: 1 day, 18:16:12 batch_cost: 2.4969 data_cost: 0.0015 ips: 32.0403 images/s [10/15 08:41:23] ppdet.engine INFO: Epoch: [151] [ 0/366] learning_rate: 0.197906 loss_vfl: 0.907783 loss_bbox: 0.316901 loss_dfl: 0.195033 loss: 1.419225 eta: 1 day, 18:16:11 batch_cost: 3.3073 data_cost: 0.4212 ips: 24.1890 images/s [10/15 08:42:22] ppdet.engine INFO: Epoch: [151] [ 20/366] learning_rate: 0.197791 loss_vfl: 0.897722 loss_bbox: 0.305883 loss_dfl: 0.187687 loss: 1.394906 eta: 1 day, 18:15:15 batch_cost: 2.7829 data_cost: 0.0018 ips: 28.7466 images/s [10/15 08:43:20] ppdet.engine INFO: Epoch: [151] [ 40/366] learning_rate: 0.197677 loss_vfl: 0.891627 loss_bbox: 0.312398 loss_dfl: 0.194947 loss: 1.401246 eta: 1 day, 18:14:19 batch_cost: 2.7572 data_cost: 0.0017 ips: 29.0149 images/s [10/15 08:44:19] ppdet.engine INFO: Epoch: [151] [ 60/366] learning_rate: 0.197562 loss_vfl: 0.906193 loss_bbox: 0.313736 loss_dfl: 0.192423 loss: 1.410427 eta: 1 day, 18:13:22 batch_cost: 2.7689 data_cost: 0.0016 ips: 28.8927 images/s [10/15 08:45:15] ppdet.engine INFO: Epoch: [151] [ 80/366] learning_rate: 0.197448 loss_vfl: 0.902890 loss_bbox: 0.310311 loss_dfl: 0.191445 loss: 1.410856 eta: 1 day, 18:12:24 batch_cost: 2.6613 data_cost: 0.0016 ips: 30.0608 images/s [10/15 08:46:12] ppdet.engine INFO: Epoch: [151] [100/366] learning_rate: 0.197333 loss_vfl: 0.917153 loss_bbox: 0.331363 loss_dfl: 0.203517 loss: 1.457411 eta: 1 day, 18:11:26 batch_cost: 2.6854 data_cost: 0.0016 ips: 29.7903 images/s [10/15 08:47:08] ppdet.engine INFO: Epoch: [151] [120/366] learning_rate: 0.197219 loss_vfl: 0.895973 loss_bbox: 0.321959 loss_dfl: 0.195031 loss: 1.404619 eta: 1 day, 18:10:28 batch_cost: 2.6799 data_cost: 0.0017 ips: 29.8515 images/s [10/15 08:48:04] ppdet.engine INFO: Epoch: [151] [140/366] learning_rate: 0.197105 loss_vfl: 0.894567 loss_bbox: 0.318975 loss_dfl: 0.196560 loss: 1.418774 eta: 1 day, 18:09:29 batch_cost: 2.6281 data_cost: 0.0016 ips: 30.4398 images/s [10/15 08:49:01] ppdet.engine INFO: Epoch: [151] [160/366] learning_rate: 0.196990 loss_vfl: 0.896942 loss_bbox: 0.318637 loss_dfl: 0.195080 loss: 1.422944 eta: 1 day, 18:08:31 batch_cost: 2.6773 data_cost: 0.0016 ips: 29.8810 images/s [10/15 08:49:57] ppdet.engine INFO: Epoch: [151] [180/366] learning_rate: 0.196876 loss_vfl: 0.894968 loss_bbox: 0.323992 loss_dfl: 0.202869 loss: 1.433719 eta: 1 day, 18:07:33 batch_cost: 2.6788 data_cost: 0.0016 ips: 29.8637 images/s [10/15 08:50:55] ppdet.engine INFO: Epoch: [151] [200/366] learning_rate: 0.196761 loss_vfl: 0.907353 loss_bbox: 0.306720 loss_dfl: 0.189908 loss: 1.396066 eta: 1 day, 18:06:36 batch_cost: 2.7421 data_cost: 0.0016 ips: 29.1744 images/s [10/15 08:51:52] ppdet.engine INFO: Epoch: [151] [220/366] learning_rate: 0.196647 loss_vfl: 0.899963 loss_bbox: 0.326054 loss_dfl: 0.202984 loss: 1.422881 eta: 1 day, 18:05:39 batch_cost: 2.6915 data_cost: 0.0016 ips: 29.7230 images/s [10/15 08:52:50] ppdet.engine INFO: Epoch: [151] [240/366] learning_rate: 0.196532 loss_vfl: 0.910247 loss_bbox: 0.315063 loss_dfl: 0.194440 loss: 1.429631 eta: 1 day, 18:04:42 batch_cost: 2.7471 data_cost: 0.0017 ips: 29.1219 images/s [10/15 08:53:47] ppdet.engine INFO: Epoch: [151] [260/366] learning_rate: 0.196418 loss_vfl: 0.907848 loss_bbox: 0.317929 loss_dfl: 0.195226 loss: 1.427333 eta: 1 day, 18:03:45 batch_cost: 2.7093 data_cost: 0.0016 ips: 29.5283 images/s [10/15 08:54:43] ppdet.engine INFO: Epoch: [151] [280/366] learning_rate: 0.196304 loss_vfl: 0.902938 loss_bbox: 0.325553 loss_dfl: 0.203802 loss: 1.421601 eta: 1 day, 18:02:46 batch_cost: 2.6606 data_cost: 0.0017 ips: 30.0680 images/s [10/15 08:55:41] ppdet.engine INFO: Epoch: [151] [300/366] learning_rate: 0.196189 loss_vfl: 0.892301 loss_bbox: 0.311982 loss_dfl: 0.196315 loss: 1.389872 eta: 1 day, 18:01:50 batch_cost: 2.7386 data_cost: 0.0016 ips: 29.2120 images/s [10/15 08:56:38] ppdet.engine INFO: Epoch: [151] [320/366] learning_rate: 0.196075 loss_vfl: 0.903549 loss_bbox: 0.321796 loss_dfl: 0.196370 loss: 1.425730 eta: 1 day, 18:00:51 batch_cost: 2.6572 data_cost: 0.0016 ips: 30.1065 images/s [10/15 08:57:35] ppdet.engine INFO: Epoch: [151] [340/366] learning_rate: 0.195960 loss_vfl: 0.895472 loss_bbox: 0.310950 loss_dfl: 0.197685 loss: 1.406214 eta: 1 day, 17:59:54 batch_cost: 2.7194 data_cost: 0.0017 ips: 29.4185 images/s [10/15 08:58:28] ppdet.engine INFO: Epoch: [151] [360/366] learning_rate: 0.195846 loss_vfl: 0.909268 loss_bbox: 0.324615 loss_dfl: 0.200764 loss: 1.427178 eta: 1 day, 17:58:53 batch_cost: 2.5021 data_cost: 0.0016 ips: 31.9725 images/s [10/15 08:59:06] ppdet.engine INFO: Epoch: [152] [ 0/366] learning_rate: 0.195812 loss_vfl: 0.900938 loss_bbox: 0.326970 loss_dfl: 0.200764 loss: 1.421487 eta: 1 day, 17:58:52 batch_cost: 3.3404 data_cost: 0.5863 ips: 23.9489 images/s [10/15 09:00:04] ppdet.engine INFO: Epoch: [152] [ 20/366] learning_rate: 0.195697 loss_vfl: 0.884687 loss_bbox: 0.319151 loss_dfl: 0.193807 loss: 1.426275 eta: 1 day, 17:57:55 batch_cost: 2.7531 data_cost: 0.0019 ips: 29.0586 images/s [10/15 09:01:00] ppdet.engine INFO: Epoch: [152] [ 40/366] learning_rate: 0.195583 loss_vfl: 0.904475 loss_bbox: 0.323936 loss_dfl: 0.201545 loss: 1.414673 eta: 1 day, 17:56:57 batch_cost: 2.6634 data_cost: 0.0017 ips: 30.0369 images/s [10/15 09:01:57] ppdet.engine INFO: Epoch: [152] [ 60/366] learning_rate: 0.195468 loss_vfl: 0.909539 loss_bbox: 0.314825 loss_dfl: 0.197532 loss: 1.434354 eta: 1 day, 17:55:59 batch_cost: 2.6859 data_cost: 0.0021 ips: 29.7857 images/s [10/15 09:02:54] ppdet.engine INFO: Epoch: [152] [ 80/366] learning_rate: 0.195354 loss_vfl: 0.898441 loss_bbox: 0.319645 loss_dfl: 0.196199 loss: 1.390750 eta: 1 day, 17:55:02 batch_cost: 2.7110 data_cost: 0.0017 ips: 29.5089 images/s [10/15 09:03:52] ppdet.engine INFO: Epoch: [152] [100/366] learning_rate: 0.195239 loss_vfl: 0.895918 loss_bbox: 0.325357 loss_dfl: 0.195150 loss: 1.422655 eta: 1 day, 17:54:05 batch_cost: 2.7407 data_cost: 0.0016 ips: 29.1897 images/s [10/15 09:04:49] ppdet.engine INFO: Epoch: [152] [120/366] learning_rate: 0.195125 loss_vfl: 0.893234 loss_bbox: 0.324162 loss_dfl: 0.201553 loss: 1.414102 eta: 1 day, 17:53:08 batch_cost: 2.6989 data_cost: 0.0020 ips: 29.6416 images/s [10/15 09:05:46] ppdet.engine INFO: Epoch: [152] [140/366] learning_rate: 0.195011 loss_vfl: 0.889600 loss_bbox: 0.325623 loss_dfl: 0.194151 loss: 1.404994 eta: 1 day, 17:52:10 batch_cost: 2.7069 data_cost: 0.0016 ips: 29.5543 images/s [10/15 09:06:44] ppdet.engine INFO: Epoch: [152] [160/366] learning_rate: 0.194896 loss_vfl: 0.912401 loss_bbox: 0.302262 loss_dfl: 0.185616 loss: 1.402665 eta: 1 day, 17:51:13 batch_cost: 2.7392 data_cost: 0.0016 ips: 29.2051 images/s [10/15 09:07:40] ppdet.engine INFO: Epoch: [152] [180/366] learning_rate: 0.194782 loss_vfl: 0.907420 loss_bbox: 0.303157 loss_dfl: 0.195846 loss: 1.405801 eta: 1 day, 17:50:15 batch_cost: 2.6414 data_cost: 0.0015 ips: 30.2870 images/s [10/15 09:08:37] ppdet.engine INFO: Epoch: [152] [200/366] learning_rate: 0.194667 loss_vfl: 0.898292 loss_bbox: 0.319806 loss_dfl: 0.195670 loss: 1.405507 eta: 1 day, 17:49:17 batch_cost: 2.7022 data_cost: 0.0017 ips: 29.6055 images/s [10/15 09:09:34] ppdet.engine INFO: Epoch: [152] [220/366] learning_rate: 0.194553 loss_vfl: 0.902181 loss_bbox: 0.303896 loss_dfl: 0.190274 loss: 1.399892 eta: 1 day, 17:48:20 batch_cost: 2.7175 data_cost: 0.0016 ips: 29.4387 images/s [10/15 09:10:31] ppdet.engine INFO: Epoch: [152] [240/366] learning_rate: 0.194439 loss_vfl: 0.907436 loss_bbox: 0.310262 loss_dfl: 0.193237 loss: 1.414379 eta: 1 day, 17:47:22 batch_cost: 2.6814 data_cost: 0.0016 ips: 29.8350 images/s [10/15 09:11:27] ppdet.engine INFO: Epoch: [152] [260/366] learning_rate: 0.194324 loss_vfl: 0.897820 loss_bbox: 0.312226 loss_dfl: 0.193956 loss: 1.400163 eta: 1 day, 17:46:24 batch_cost: 2.6888 data_cost: 0.0017 ips: 29.7528 images/s [10/15 09:12:25] ppdet.engine INFO: Epoch: [152] [280/366] learning_rate: 0.194210 loss_vfl: 0.900521 loss_bbox: 0.320198 loss_dfl: 0.192286 loss: 1.417890 eta: 1 day, 17:45:27 batch_cost: 2.7288 data_cost: 0.0017 ips: 29.3175 images/s [10/15 09:13:23] ppdet.engine INFO: Epoch: [152] [300/366] learning_rate: 0.194095 loss_vfl: 0.908509 loss_bbox: 0.313943 loss_dfl: 0.193382 loss: 1.413119 eta: 1 day, 17:44:31 batch_cost: 2.7495 data_cost: 0.0016 ips: 29.0958 images/s [10/15 09:14:19] ppdet.engine INFO: Epoch: [152] [320/366] learning_rate: 0.193981 loss_vfl: 0.906620 loss_bbox: 0.323406 loss_dfl: 0.201535 loss: 1.429539 eta: 1 day, 17:43:32 batch_cost: 2.6507 data_cost: 0.0023 ips: 30.1804 images/s [10/15 09:15:16] ppdet.engine INFO: Epoch: [152] [340/366] learning_rate: 0.193867 loss_vfl: 0.900371 loss_bbox: 0.330470 loss_dfl: 0.201952 loss: 1.429814 eta: 1 day, 17:42:35 batch_cost: 2.7242 data_cost: 0.0016 ips: 29.3661 images/s [10/15 09:16:09] ppdet.engine INFO: Epoch: [152] [360/366] learning_rate: 0.193752 loss_vfl: 0.911953 loss_bbox: 0.321760 loss_dfl: 0.198668 loss: 1.419911 eta: 1 day, 17:41:34 batch_cost: 2.4940 data_cost: 0.0015 ips: 32.0773 images/s [10/15 09:16:45] ppdet.engine INFO: Epoch: [153] [ 0/366] learning_rate: 0.193718 loss_vfl: 0.895414 loss_bbox: 0.327029 loss_dfl: 0.203849 loss: 1.428933 eta: 1 day, 17:41:32 batch_cost: 3.2937 data_cost: 0.5266 ips: 24.2891 images/s [10/15 09:17:45] ppdet.engine INFO: Epoch: [153] [ 20/366] learning_rate: 0.193603 loss_vfl: 0.904736 loss_bbox: 0.304795 loss_dfl: 0.190650 loss: 1.409155 eta: 1 day, 17:40:37 batch_cost: 2.8476 data_cost: 0.0017 ips: 28.0934 images/s [10/15 09:18:43] ppdet.engine INFO: Epoch: [153] [ 40/366] learning_rate: 0.193489 loss_vfl: 0.908089 loss_bbox: 0.301786 loss_dfl: 0.185986 loss: 1.400542 eta: 1 day, 17:39:41 batch_cost: 2.7590 data_cost: 0.0016 ips: 28.9964 images/s [10/15 09:19:42] ppdet.engine INFO: Epoch: [153] [ 60/366] learning_rate: 0.193375 loss_vfl: 0.897537 loss_bbox: 0.309293 loss_dfl: 0.187661 loss: 1.401121 eta: 1 day, 17:38:45 batch_cost: 2.7957 data_cost: 0.0017 ips: 28.6156 images/s [10/15 09:20:39] ppdet.engine INFO: Epoch: [153] [ 80/366] learning_rate: 0.193260 loss_vfl: 0.907317 loss_bbox: 0.303292 loss_dfl: 0.191804 loss: 1.401664 eta: 1 day, 17:37:48 batch_cost: 2.7216 data_cost: 0.0017 ips: 29.3942 images/s [10/15 09:21:37] ppdet.engine INFO: Epoch: [153] [100/366] learning_rate: 0.193146 loss_vfl: 0.914973 loss_bbox: 0.326750 loss_dfl: 0.202953 loss: 1.448577 eta: 1 day, 17:36:51 batch_cost: 2.7176 data_cost: 0.0017 ips: 29.4383 images/s [10/15 09:22:34] ppdet.engine INFO: Epoch: [153] [120/366] learning_rate: 0.193032 loss_vfl: 0.908817 loss_bbox: 0.317445 loss_dfl: 0.197202 loss: 1.438715 eta: 1 day, 17:35:54 batch_cost: 2.7441 data_cost: 0.0017 ips: 29.1537 images/s [10/15 09:23:32] ppdet.engine INFO: Epoch: [153] [140/366] learning_rate: 0.192917 loss_vfl: 0.890915 loss_bbox: 0.318690 loss_dfl: 0.195378 loss: 1.417622 eta: 1 day, 17:34:57 batch_cost: 2.7140 data_cost: 0.0017 ips: 29.4769 images/s [10/15 09:24:28] ppdet.engine INFO: Epoch: [153] [160/366] learning_rate: 0.192803 loss_vfl: 0.899069 loss_bbox: 0.325152 loss_dfl: 0.199849 loss: 1.404823 eta: 1 day, 17:33:59 batch_cost: 2.6898 data_cost: 0.0016 ips: 29.7420 images/s [10/15 09:25:25] ppdet.engine INFO: Epoch: [153] [180/366] learning_rate: 0.192688 loss_vfl: 0.900231 loss_bbox: 0.311297 loss_dfl: 0.198077 loss: 1.423255 eta: 1 day, 17:33:01 batch_cost: 2.6926 data_cost: 0.0016 ips: 29.7107 images/s [10/15 09:26:24] ppdet.engine INFO: Epoch: [153] [200/366] learning_rate: 0.192574 loss_vfl: 0.892089 loss_bbox: 0.319184 loss_dfl: 0.195258 loss: 1.417985 eta: 1 day, 17:32:05 batch_cost: 2.7782 data_cost: 0.0016 ips: 28.7956 images/s [10/15 09:27:21] ppdet.engine INFO: Epoch: [153] [220/366] learning_rate: 0.192460 loss_vfl: 0.892356 loss_bbox: 0.319978 loss_dfl: 0.196397 loss: 1.436809 eta: 1 day, 17:31:08 batch_cost: 2.6883 data_cost: 0.0017 ips: 29.7589 images/s [10/15 09:28:18] ppdet.engine INFO: Epoch: [153] [240/366] learning_rate: 0.192345 loss_vfl: 0.904046 loss_bbox: 0.307437 loss_dfl: 0.189710 loss: 1.398887 eta: 1 day, 17:30:11 batch_cost: 2.7477 data_cost: 0.0016 ips: 29.1158 images/s [10/15 09:29:17] ppdet.engine INFO: Epoch: [153] [260/366] learning_rate: 0.192231 loss_vfl: 0.897441 loss_bbox: 0.314783 loss_dfl: 0.195708 loss: 1.421489 eta: 1 day, 17:29:15 batch_cost: 2.7566 data_cost: 0.0016 ips: 29.0211 images/s [10/15 09:30:12] ppdet.engine INFO: Epoch: [153] [280/366] learning_rate: 0.192117 loss_vfl: 0.915049 loss_bbox: 0.329646 loss_dfl: 0.195987 loss: 1.443635 eta: 1 day, 17:28:16 batch_cost: 2.6465 data_cost: 0.0016 ips: 30.2287 images/s [10/15 09:31:10] ppdet.engine INFO: Epoch: [153] [300/366] learning_rate: 0.192002 loss_vfl: 0.882129 loss_bbox: 0.305180 loss_dfl: 0.187143 loss: 1.399914 eta: 1 day, 17:27:20 batch_cost: 2.7506 data_cost: 0.0016 ips: 29.0849 images/s [10/15 09:32:08] ppdet.engine INFO: Epoch: [153] [320/366] learning_rate: 0.191888 loss_vfl: 0.899911 loss_bbox: 0.323838 loss_dfl: 0.190737 loss: 1.428608 eta: 1 day, 17:26:23 batch_cost: 2.7258 data_cost: 0.0016 ips: 29.3495 images/s [10/15 09:33:06] ppdet.engine INFO: Epoch: [153] [340/366] learning_rate: 0.191774 loss_vfl: 0.906828 loss_bbox: 0.322008 loss_dfl: 0.198635 loss: 1.434039 eta: 1 day, 17:25:26 batch_cost: 2.7400 data_cost: 0.0016 ips: 29.1976 images/s [10/15 09:33:59] ppdet.engine INFO: Epoch: [153] [360/366] learning_rate: 0.191659 loss_vfl: 0.904591 loss_bbox: 0.318452 loss_dfl: 0.197071 loss: 1.414111 eta: 1 day, 17:24:25 batch_cost: 2.5063 data_cost: 0.0015 ips: 31.9196 images/s [10/15 09:34:36] ppdet.engine INFO: Epoch: [154] [ 0/366] learning_rate: 0.191625 loss_vfl: 0.907541 loss_bbox: 0.315950 loss_dfl: 0.195247 loss: 1.426628 eta: 1 day, 17:24:23 batch_cost: 3.3045 data_cost: 0.3920 ips: 24.2094 images/s [10/15 09:35:36] ppdet.engine INFO: Epoch: [154] [ 20/366] learning_rate: 0.191511 loss_vfl: 0.891600 loss_bbox: 0.326594 loss_dfl: 0.199424 loss: 1.423230 eta: 1 day, 17:23:28 batch_cost: 2.8436 data_cost: 0.0017 ips: 28.1334 images/s [10/15 09:36:35] ppdet.engine INFO: Epoch: [154] [ 40/366] learning_rate: 0.191396 loss_vfl: 0.901606 loss_bbox: 0.326200 loss_dfl: 0.193830 loss: 1.404580 eta: 1 day, 17:22:32 batch_cost: 2.7670 data_cost: 0.0016 ips: 28.9126 images/s [10/15 09:37:31] ppdet.engine INFO: Epoch: [154] [ 60/366] learning_rate: 0.191282 loss_vfl: 0.892497 loss_bbox: 0.316907 loss_dfl: 0.197252 loss: 1.402082 eta: 1 day, 17:21:34 batch_cost: 2.7016 data_cost: 0.0016 ips: 29.6117 images/s [10/15 09:38:29] ppdet.engine INFO: Epoch: [154] [ 80/366] learning_rate: 0.191168 loss_vfl: 0.903227 loss_bbox: 0.330083 loss_dfl: 0.197805 loss: 1.433177 eta: 1 day, 17:20:38 batch_cost: 2.7463 data_cost: 0.0016 ips: 29.1306 images/s [10/15 09:39:27] ppdet.engine INFO: Epoch: [154] [100/366] learning_rate: 0.191053 loss_vfl: 0.901860 loss_bbox: 0.322768 loss_dfl: 0.199861 loss: 1.405363 eta: 1 day, 17:19:41 batch_cost: 2.7280 data_cost: 0.0016 ips: 29.3255 images/s [10/15 09:40:24] ppdet.engine INFO: Epoch: [154] [120/366] learning_rate: 0.190939 loss_vfl: 0.893960 loss_bbox: 0.313547 loss_dfl: 0.196607 loss: 1.392987 eta: 1 day, 17:18:43 batch_cost: 2.7030 data_cost: 0.0017 ips: 29.5964 images/s [10/15 09:41:21] ppdet.engine INFO: Epoch: [154] [140/366] learning_rate: 0.190825 loss_vfl: 0.896360 loss_bbox: 0.319180 loss_dfl: 0.195489 loss: 1.399734 eta: 1 day, 17:17:47 batch_cost: 2.7389 data_cost: 0.0016 ips: 29.2091 images/s [10/15 09:42:18] ppdet.engine INFO: Epoch: [154] [160/366] learning_rate: 0.190710 loss_vfl: 0.885493 loss_bbox: 0.330608 loss_dfl: 0.200859 loss: 1.417874 eta: 1 day, 17:16:49 batch_cost: 2.6763 data_cost: 0.0016 ips: 29.8918 images/s [10/15 09:43:13] ppdet.engine INFO: Epoch: [154] [180/366] learning_rate: 0.190596 loss_vfl: 0.912018 loss_bbox: 0.326338 loss_dfl: 0.197866 loss: 1.435869 eta: 1 day, 17:15:49 batch_cost: 2.6027 data_cost: 0.0016 ips: 30.7368 images/s [10/15 09:44:10] ppdet.engine INFO: Epoch: [154] [200/366] learning_rate: 0.190482 loss_vfl: 0.925289 loss_bbox: 0.308552 loss_dfl: 0.194612 loss: 1.421386 eta: 1 day, 17:14:53 batch_cost: 2.7331 data_cost: 0.0017 ips: 29.2712 images/s [10/15 09:45:09] ppdet.engine INFO: Epoch: [154] [220/366] learning_rate: 0.190367 loss_vfl: 0.912363 loss_bbox: 0.312503 loss_dfl: 0.198635 loss: 1.437377 eta: 1 day, 17:13:57 batch_cost: 2.7740 data_cost: 0.0016 ips: 28.8396 images/s [10/15 09:46:07] ppdet.engine INFO: Epoch: [154] [240/366] learning_rate: 0.190253 loss_vfl: 0.919272 loss_bbox: 0.314632 loss_dfl: 0.191256 loss: 1.440753 eta: 1 day, 17:13:00 batch_cost: 2.7479 data_cost: 0.0016 ips: 29.1128 images/s [10/15 09:47:03] ppdet.engine INFO: Epoch: [154] [260/366] learning_rate: 0.190139 loss_vfl: 0.902767 loss_bbox: 0.320135 loss_dfl: 0.197600 loss: 1.419769 eta: 1 day, 17:12:02 batch_cost: 2.6657 data_cost: 0.0016 ips: 30.0113 images/s [10/15 09:48:00] ppdet.engine INFO: Epoch: [154] [280/366] learning_rate: 0.190024 loss_vfl: 0.899802 loss_bbox: 0.319487 loss_dfl: 0.194055 loss: 1.399680 eta: 1 day, 17:11:05 batch_cost: 2.7103 data_cost: 0.0016 ips: 29.5170 images/s [10/15 09:48:58] ppdet.engine INFO: Epoch: [154] [300/366] learning_rate: 0.189910 loss_vfl: 0.901868 loss_bbox: 0.312039 loss_dfl: 0.192807 loss: 1.406633 eta: 1 day, 17:10:08 batch_cost: 2.7556 data_cost: 0.0016 ips: 29.0315 images/s [10/15 09:49:56] ppdet.engine INFO: Epoch: [154] [320/366] learning_rate: 0.189796 loss_vfl: 0.910445 loss_bbox: 0.310896 loss_dfl: 0.190117 loss: 1.415823 eta: 1 day, 17:09:11 batch_cost: 2.7360 data_cost: 0.0016 ips: 29.2398 images/s [10/15 09:50:52] ppdet.engine INFO: Epoch: [154] [340/366] learning_rate: 0.189681 loss_vfl: 0.908602 loss_bbox: 0.317153 loss_dfl: 0.198392 loss: 1.430589 eta: 1 day, 17:08:14 batch_cost: 2.6839 data_cost: 0.0016 ips: 29.8078 images/s [10/15 09:51:47] ppdet.engine INFO: Epoch: [154] [360/366] learning_rate: 0.189567 loss_vfl: 0.908587 loss_bbox: 0.312015 loss_dfl: 0.198416 loss: 1.408687 eta: 1 day, 17:07:14 batch_cost: 2.5853 data_cost: 0.0015 ips: 30.9442 images/s [10/15 09:52:22] ppdet.engine INFO: Epoch: [155] [ 0/366] learning_rate: 0.189533 loss_vfl: 0.885528 loss_bbox: 0.312396 loss_dfl: 0.196683 loss: 1.393364 eta: 1 day, 17:07:11 batch_cost: 3.3196 data_cost: 0.3688 ips: 24.0989 images/s [10/15 09:53:21] ppdet.engine INFO: Epoch: [155] [ 20/366] learning_rate: 0.189419 loss_vfl: 0.905619 loss_bbox: 0.338920 loss_dfl: 0.207328 loss: 1.443077 eta: 1 day, 17:06:14 batch_cost: 2.7471 data_cost: 0.0017 ips: 29.1213 images/s [10/15 09:54:19] ppdet.engine INFO: Epoch: [155] [ 40/366] learning_rate: 0.189304 loss_vfl: 0.901754 loss_bbox: 0.321502 loss_dfl: 0.195158 loss: 1.417616 eta: 1 day, 17:05:18 batch_cost: 2.7713 data_cost: 0.0017 ips: 28.8668 images/s [10/15 09:55:16] ppdet.engine INFO: Epoch: [155] [ 60/366] learning_rate: 0.189190 loss_vfl: 0.897195 loss_bbox: 0.325690 loss_dfl: 0.196057 loss: 1.420360 eta: 1 day, 17:04:21 batch_cost: 2.7179 data_cost: 0.0017 ips: 29.4345 images/s [10/15 09:56:14] ppdet.engine INFO: Epoch: [155] [ 80/366] learning_rate: 0.189076 loss_vfl: 0.910269 loss_bbox: 0.319583 loss_dfl: 0.197990 loss: 1.434833 eta: 1 day, 17:03:24 batch_cost: 2.7043 data_cost: 0.0016 ips: 29.5824 images/s [10/15 09:57:10] ppdet.engine INFO: Epoch: [155] [100/366] learning_rate: 0.188961 loss_vfl: 0.884652 loss_bbox: 0.321007 loss_dfl: 0.194910 loss: 1.397838 eta: 1 day, 17:02:26 batch_cost: 2.6722 data_cost: 0.0016 ips: 29.9383 images/s [10/15 09:58:06] ppdet.engine INFO: Epoch: [155] [120/366] learning_rate: 0.188847 loss_vfl: 0.890743 loss_bbox: 0.292854 loss_dfl: 0.185912 loss: 1.371985 eta: 1 day, 17:01:27 batch_cost: 2.6374 data_cost: 0.0016 ips: 30.3326 images/s [10/15 09:59:03] ppdet.engine INFO: Epoch: [155] [140/366] learning_rate: 0.188733 loss_vfl: 0.879488 loss_bbox: 0.326824 loss_dfl: 0.194256 loss: 1.412948 eta: 1 day, 17:00:29 batch_cost: 2.6876 data_cost: 0.0017 ips: 29.7658 images/s [10/15 09:59:59] ppdet.engine INFO: Epoch: [155] [160/366] learning_rate: 0.188619 loss_vfl: 0.906618 loss_bbox: 0.301146 loss_dfl: 0.191365 loss: 1.402746 eta: 1 day, 16:59:31 batch_cost: 2.6543 data_cost: 0.0016 ips: 30.1396 images/s [10/15 10:00:55] ppdet.engine INFO: Epoch: [155] [180/366] learning_rate: 0.188504 loss_vfl: 0.904681 loss_bbox: 0.308838 loss_dfl: 0.193440 loss: 1.412198 eta: 1 day, 16:58:33 batch_cost: 2.6768 data_cost: 0.0017 ips: 29.8863 images/s [10/15 10:01:51] ppdet.engine INFO: Epoch: [155] [200/366] learning_rate: 0.188390 loss_vfl: 0.897442 loss_bbox: 0.328229 loss_dfl: 0.197603 loss: 1.427866 eta: 1 day, 16:57:35 batch_cost: 2.6478 data_cost: 0.0016 ips: 30.2134 images/s [10/15 10:02:49] ppdet.engine INFO: Epoch: [155] [220/366] learning_rate: 0.188276 loss_vfl: 0.902504 loss_bbox: 0.310528 loss_dfl: 0.201074 loss: 1.415294 eta: 1 day, 16:56:38 batch_cost: 2.7307 data_cost: 0.0016 ips: 29.2969 images/s [10/15 10:03:46] ppdet.engine INFO: Epoch: [155] [240/366] learning_rate: 0.188162 loss_vfl: 0.895467 loss_bbox: 0.317158 loss_dfl: 0.194336 loss: 1.406494 eta: 1 day, 16:55:40 batch_cost: 2.7021 data_cost: 0.0017 ips: 29.6071 images/s [10/15 10:04:44] ppdet.engine INFO: Epoch: [155] [260/366] learning_rate: 0.188047 loss_vfl: 0.910559 loss_bbox: 0.332942 loss_dfl: 0.201928 loss: 1.455797 eta: 1 day, 16:54:44 batch_cost: 2.7677 data_cost: 0.0016 ips: 28.9045 images/s [10/15 10:05:40] ppdet.engine INFO: Epoch: [155] [280/366] learning_rate: 0.187933 loss_vfl: 0.886162 loss_bbox: 0.300688 loss_dfl: 0.190694 loss: 1.383444 eta: 1 day, 16:53:46 batch_cost: 2.6739 data_cost: 0.0016 ips: 29.9185 images/s [10/15 10:06:38] ppdet.engine INFO: Epoch: [155] [300/366] learning_rate: 0.187819 loss_vfl: 0.905226 loss_bbox: 0.318291 loss_dfl: 0.190359 loss: 1.398173 eta: 1 day, 16:52:49 batch_cost: 2.7053 data_cost: 0.0016 ips: 29.5710 images/s [10/15 10:07:34] ppdet.engine INFO: Epoch: [155] [320/366] learning_rate: 0.187705 loss_vfl: 0.898464 loss_bbox: 0.307300 loss_dfl: 0.194378 loss: 1.406948 eta: 1 day, 16:51:51 batch_cost: 2.6593 data_cost: 0.0016 ips: 30.0829 images/s [10/15 10:08:32] ppdet.engine INFO: Epoch: [155] [340/366] learning_rate: 0.187590 loss_vfl: 0.897346 loss_bbox: 0.320991 loss_dfl: 0.195302 loss: 1.408952 eta: 1 day, 16:50:54 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0920 images/s [10/15 10:09:24] ppdet.engine INFO: Epoch: [155] [360/366] learning_rate: 0.187476 loss_vfl: 0.916485 loss_bbox: 0.326951 loss_dfl: 0.199440 loss: 1.454333 eta: 1 day, 16:49:53 batch_cost: 2.4925 data_cost: 0.0016 ips: 32.0967 images/s [10/15 10:10:02] ppdet.engine INFO: Epoch: [156] [ 0/366] learning_rate: 0.187442 loss_vfl: 0.916485 loss_bbox: 0.330219 loss_dfl: 0.208036 loss: 1.457946 eta: 1 day, 16:49:52 batch_cost: 3.3557 data_cost: 0.6234 ips: 23.8398 images/s [10/15 10:11:02] ppdet.engine INFO: Epoch: [156] [ 20/366] learning_rate: 0.187328 loss_vfl: 0.895584 loss_bbox: 0.307593 loss_dfl: 0.196585 loss: 1.416416 eta: 1 day, 16:48:56 batch_cost: 2.8162 data_cost: 0.0019 ips: 28.4068 images/s [10/15 10:11:59] ppdet.engine INFO: Epoch: [156] [ 40/366] learning_rate: 0.187213 loss_vfl: 0.887553 loss_bbox: 0.316319 loss_dfl: 0.193074 loss: 1.413216 eta: 1 day, 16:47:59 batch_cost: 2.6850 data_cost: 0.0017 ips: 29.7949 images/s [10/15 10:12:56] ppdet.engine INFO: Epoch: [156] [ 60/366] learning_rate: 0.187099 loss_vfl: 0.898868 loss_bbox: 0.317792 loss_dfl: 0.202414 loss: 1.398980 eta: 1 day, 16:47:02 batch_cost: 2.7301 data_cost: 0.0018 ips: 29.3026 images/s [10/15 10:13:54] ppdet.engine INFO: Epoch: [156] [ 80/366] learning_rate: 0.186985 loss_vfl: 0.889527 loss_bbox: 0.316840 loss_dfl: 0.197614 loss: 1.419585 eta: 1 day, 16:46:05 batch_cost: 2.7486 data_cost: 0.0016 ips: 29.1057 images/s [10/15 10:14:52] ppdet.engine INFO: Epoch: [156] [100/366] learning_rate: 0.186871 loss_vfl: 0.899606 loss_bbox: 0.326918 loss_dfl: 0.200486 loss: 1.429946 eta: 1 day, 16:45:09 batch_cost: 2.7422 data_cost: 0.0017 ips: 29.1733 images/s [10/15 10:15:49] ppdet.engine INFO: Epoch: [156] [120/366] learning_rate: 0.186757 loss_vfl: 0.903090 loss_bbox: 0.336330 loss_dfl: 0.206928 loss: 1.445192 eta: 1 day, 16:44:11 batch_cost: 2.6914 data_cost: 0.0017 ips: 29.7246 images/s [10/15 10:16:46] ppdet.engine INFO: Epoch: [156] [140/366] learning_rate: 0.186642 loss_vfl: 0.907861 loss_bbox: 0.310741 loss_dfl: 0.194074 loss: 1.419107 eta: 1 day, 16:43:13 batch_cost: 2.6818 data_cost: 0.0017 ips: 29.8304 images/s [10/15 10:17:43] ppdet.engine INFO: Epoch: [156] [160/366] learning_rate: 0.186528 loss_vfl: 0.903650 loss_bbox: 0.321515 loss_dfl: 0.198452 loss: 1.424374 eta: 1 day, 16:42:17 batch_cost: 2.7326 data_cost: 0.0016 ips: 29.2765 images/s [10/15 10:18:42] ppdet.engine INFO: Epoch: [156] [180/366] learning_rate: 0.186414 loss_vfl: 0.901620 loss_bbox: 0.335891 loss_dfl: 0.202257 loss: 1.451764 eta: 1 day, 16:41:20 batch_cost: 2.7446 data_cost: 0.0017 ips: 29.1477 images/s [10/15 10:19:39] ppdet.engine INFO: Epoch: [156] [200/366] learning_rate: 0.186300 loss_vfl: 0.895792 loss_bbox: 0.308788 loss_dfl: 0.189938 loss: 1.395909 eta: 1 day, 16:40:23 batch_cost: 2.7042 data_cost: 0.0016 ips: 29.5837 images/s [10/15 10:20:35] ppdet.engine INFO: Epoch: [156] [220/366] learning_rate: 0.186186 loss_vfl: 0.911794 loss_bbox: 0.306278 loss_dfl: 0.191279 loss: 1.396564 eta: 1 day, 16:39:24 batch_cost: 2.6408 data_cost: 0.0016 ips: 30.2940 images/s [10/15 10:21:32] ppdet.engine INFO: Epoch: [156] [240/366] learning_rate: 0.186072 loss_vfl: 0.909898 loss_bbox: 0.324105 loss_dfl: 0.195735 loss: 1.428383 eta: 1 day, 16:38:27 batch_cost: 2.7146 data_cost: 0.0016 ips: 29.4698 images/s [10/15 10:22:28] ppdet.engine INFO: Epoch: [156] [260/366] learning_rate: 0.185957 loss_vfl: 0.918263 loss_bbox: 0.325522 loss_dfl: 0.199166 loss: 1.443488 eta: 1 day, 16:37:29 batch_cost: 2.6693 data_cost: 0.0016 ips: 29.9705 images/s [10/15 10:23:26] ppdet.engine INFO: Epoch: [156] [280/366] learning_rate: 0.185843 loss_vfl: 0.897215 loss_bbox: 0.307473 loss_dfl: 0.188246 loss: 1.410360 eta: 1 day, 16:36:32 batch_cost: 2.7409 data_cost: 0.0017 ips: 29.1874 images/s [10/15 10:24:24] ppdet.engine INFO: Epoch: [156] [300/366] learning_rate: 0.185729 loss_vfl: 0.903040 loss_bbox: 0.309813 loss_dfl: 0.196892 loss: 1.411826 eta: 1 day, 16:35:36 batch_cost: 2.7480 data_cost: 0.0017 ips: 29.1118 images/s [10/15 10:25:21] ppdet.engine INFO: Epoch: [156] [320/366] learning_rate: 0.185615 loss_vfl: 0.909789 loss_bbox: 0.306813 loss_dfl: 0.190645 loss: 1.404335 eta: 1 day, 16:34:39 batch_cost: 2.7127 data_cost: 0.0017 ips: 29.4907 images/s [10/15 10:26:18] ppdet.engine INFO: Epoch: [156] [340/366] learning_rate: 0.185501 loss_vfl: 0.893880 loss_bbox: 0.317719 loss_dfl: 0.195519 loss: 1.405473 eta: 1 day, 16:33:42 batch_cost: 2.7135 data_cost: 0.0016 ips: 29.4824 images/s [10/15 10:27:12] ppdet.engine INFO: Epoch: [156] [360/366] learning_rate: 0.185387 loss_vfl: 0.900363 loss_bbox: 0.310332 loss_dfl: 0.198290 loss: 1.424861 eta: 1 day, 16:32:41 batch_cost: 2.5493 data_cost: 0.0017 ips: 31.3807 images/s [10/15 10:27:49] ppdet.engine INFO: Epoch: [157] [ 0/366] learning_rate: 0.185352 loss_vfl: 0.897379 loss_bbox: 0.319679 loss_dfl: 0.198647 loss: 1.428648 eta: 1 day, 16:32:39 batch_cost: 3.3270 data_cost: 0.4700 ips: 24.0455 images/s [10/15 10:28:49] ppdet.engine INFO: Epoch: [157] [ 20/366] learning_rate: 0.185238 loss_vfl: 0.895818 loss_bbox: 0.326938 loss_dfl: 0.201251 loss: 1.414462 eta: 1 day, 16:31:44 batch_cost: 2.8448 data_cost: 0.0018 ips: 28.1215 images/s [10/15 10:29:48] ppdet.engine INFO: Epoch: [157] [ 40/366] learning_rate: 0.185124 loss_vfl: 0.885985 loss_bbox: 0.315361 loss_dfl: 0.191431 loss: 1.394184 eta: 1 day, 16:30:49 batch_cost: 2.7871 data_cost: 0.0016 ips: 28.7040 images/s [10/15 10:30:46] ppdet.engine INFO: Epoch: [157] [ 60/366] learning_rate: 0.185010 loss_vfl: 0.892002 loss_bbox: 0.329112 loss_dfl: 0.203363 loss: 1.427328 eta: 1 day, 16:29:53 batch_cost: 2.7829 data_cost: 0.0016 ips: 28.7467 images/s [10/15 10:31:43] ppdet.engine INFO: Epoch: [157] [ 80/366] learning_rate: 0.184896 loss_vfl: 0.906518 loss_bbox: 0.320701 loss_dfl: 0.196812 loss: 1.413841 eta: 1 day, 16:28:55 batch_cost: 2.7051 data_cost: 0.0016 ips: 29.5734 images/s [10/15 10:32:41] ppdet.engine INFO: Epoch: [157] [100/366] learning_rate: 0.184782 loss_vfl: 0.922179 loss_bbox: 0.302084 loss_dfl: 0.191768 loss: 1.429869 eta: 1 day, 16:27:58 batch_cost: 2.7202 data_cost: 0.0016 ips: 29.4095 images/s [10/15 10:33:38] ppdet.engine INFO: Epoch: [157] [120/366] learning_rate: 0.184668 loss_vfl: 0.899079 loss_bbox: 0.312563 loss_dfl: 0.196938 loss: 1.410127 eta: 1 day, 16:27:01 batch_cost: 2.6846 data_cost: 0.0017 ips: 29.8000 images/s [10/15 10:34:35] ppdet.engine INFO: Epoch: [157] [140/366] learning_rate: 0.184553 loss_vfl: 0.900719 loss_bbox: 0.326686 loss_dfl: 0.203760 loss: 1.432516 eta: 1 day, 16:26:04 batch_cost: 2.7226 data_cost: 0.0018 ips: 29.3840 images/s [10/15 10:35:34] ppdet.engine INFO: Epoch: [157] [160/366] learning_rate: 0.184439 loss_vfl: 0.897380 loss_bbox: 0.319025 loss_dfl: 0.197674 loss: 1.407034 eta: 1 day, 16:25:08 batch_cost: 2.7721 data_cost: 0.0016 ips: 28.8593 images/s [10/15 10:36:32] ppdet.engine INFO: Epoch: [157] [180/366] learning_rate: 0.184325 loss_vfl: 0.897621 loss_bbox: 0.338756 loss_dfl: 0.205121 loss: 1.420085 eta: 1 day, 16:24:11 batch_cost: 2.7493 data_cost: 0.0016 ips: 29.0978 images/s [10/15 10:37:30] ppdet.engine INFO: Epoch: [157] [200/366] learning_rate: 0.184211 loss_vfl: 0.891897 loss_bbox: 0.318102 loss_dfl: 0.196645 loss: 1.413352 eta: 1 day, 16:23:15 batch_cost: 2.7599 data_cost: 0.0016 ips: 28.9861 images/s [10/15 10:38:28] ppdet.engine INFO: Epoch: [157] [220/366] learning_rate: 0.184097 loss_vfl: 0.913693 loss_bbox: 0.315564 loss_dfl: 0.196474 loss: 1.437393 eta: 1 day, 16:22:19 batch_cost: 2.7689 data_cost: 0.0017 ips: 28.8927 images/s [10/15 10:39:25] ppdet.engine INFO: Epoch: [157] [240/366] learning_rate: 0.183983 loss_vfl: 0.901228 loss_bbox: 0.317475 loss_dfl: 0.198387 loss: 1.413920 eta: 1 day, 16:21:21 batch_cost: 2.6971 data_cost: 0.0016 ips: 29.6617 images/s [10/15 10:40:23] ppdet.engine INFO: Epoch: [157] [260/366] learning_rate: 0.183869 loss_vfl: 0.905474 loss_bbox: 0.321546 loss_dfl: 0.194014 loss: 1.405442 eta: 1 day, 16:20:24 batch_cost: 2.7074 data_cost: 0.0016 ips: 29.5490 images/s [10/15 10:41:20] ppdet.engine INFO: Epoch: [157] [280/366] learning_rate: 0.183755 loss_vfl: 0.908056 loss_bbox: 0.313730 loss_dfl: 0.194113 loss: 1.414363 eta: 1 day, 16:19:27 batch_cost: 2.7316 data_cost: 0.0016 ips: 29.2865 images/s [10/15 10:42:19] ppdet.engine INFO: Epoch: [157] [300/366] learning_rate: 0.183641 loss_vfl: 0.886179 loss_bbox: 0.326076 loss_dfl: 0.197246 loss: 1.407655 eta: 1 day, 16:18:31 batch_cost: 2.7778 data_cost: 0.0017 ips: 28.8003 images/s [10/15 10:43:17] ppdet.engine INFO: Epoch: [157] [320/366] learning_rate: 0.183527 loss_vfl: 0.896504 loss_bbox: 0.325016 loss_dfl: 0.199182 loss: 1.412510 eta: 1 day, 16:17:35 batch_cost: 2.7691 data_cost: 0.0016 ips: 28.8901 images/s [10/15 10:44:15] ppdet.engine INFO: Epoch: [157] [340/366] learning_rate: 0.183413 loss_vfl: 0.908399 loss_bbox: 0.315502 loss_dfl: 0.199399 loss: 1.413261 eta: 1 day, 16:16:38 batch_cost: 2.7251 data_cost: 0.0016 ips: 29.3568 images/s [10/15 10:45:08] ppdet.engine INFO: Epoch: [157] [360/366] learning_rate: 0.183299 loss_vfl: 0.903150 loss_bbox: 0.312162 loss_dfl: 0.197175 loss: 1.423434 eta: 1 day, 16:15:38 batch_cost: 2.5457 data_cost: 0.0016 ips: 31.4260 images/s [10/15 10:45:48] ppdet.engine INFO: Epoch: [158] [ 0/366] learning_rate: 0.183264 loss_vfl: 0.897687 loss_bbox: 0.317355 loss_dfl: 0.198311 loss: 1.429021 eta: 1 day, 16:15:38 batch_cost: 3.4510 data_cost: 0.3217 ips: 23.1817 images/s [10/15 10:46:47] ppdet.engine INFO: Epoch: [158] [ 20/366] learning_rate: 0.183150 loss_vfl: 0.889666 loss_bbox: 0.304308 loss_dfl: 0.186564 loss: 1.392220 eta: 1 day, 16:14:43 batch_cost: 2.8048 data_cost: 0.0017 ips: 28.5223 images/s [10/15 10:47:46] ppdet.engine INFO: Epoch: [158] [ 40/366] learning_rate: 0.183036 loss_vfl: 0.887894 loss_bbox: 0.321671 loss_dfl: 0.199822 loss: 1.427600 eta: 1 day, 16:13:47 batch_cost: 2.8024 data_cost: 0.0016 ips: 28.5466 images/s [10/15 10:48:45] ppdet.engine INFO: Epoch: [158] [ 60/366] learning_rate: 0.182922 loss_vfl: 0.894813 loss_bbox: 0.312999 loss_dfl: 0.199376 loss: 1.401533 eta: 1 day, 16:12:51 batch_cost: 2.7643 data_cost: 0.0023 ips: 28.9407 images/s [10/15 10:49:44] ppdet.engine INFO: Epoch: [158] [ 80/366] learning_rate: 0.182808 loss_vfl: 0.907740 loss_bbox: 0.313038 loss_dfl: 0.190806 loss: 1.432480 eta: 1 day, 16:11:56 batch_cost: 2.8108 data_cost: 0.0016 ips: 28.4621 images/s [10/15 10:50:41] ppdet.engine INFO: Epoch: [158] [100/366] learning_rate: 0.182694 loss_vfl: 0.904068 loss_bbox: 0.301750 loss_dfl: 0.193333 loss: 1.389422 eta: 1 day, 16:10:58 batch_cost: 2.6950 data_cost: 0.0020 ips: 29.6850 images/s [10/15 10:51:40] ppdet.engine INFO: Epoch: [158] [120/366] learning_rate: 0.182580 loss_vfl: 0.908329 loss_bbox: 0.311466 loss_dfl: 0.195837 loss: 1.422324 eta: 1 day, 16:10:03 batch_cost: 2.8041 data_cost: 0.0017 ips: 28.5299 images/s [10/15 10:52:39] ppdet.engine INFO: Epoch: [158] [140/366] learning_rate: 0.182466 loss_vfl: 0.902883 loss_bbox: 0.313287 loss_dfl: 0.195878 loss: 1.414150 eta: 1 day, 16:09:08 batch_cost: 2.8369 data_cost: 0.0024 ips: 28.2002 images/s [10/15 10:53:37] ppdet.engine INFO: Epoch: [158] [160/366] learning_rate: 0.182352 loss_vfl: 0.895791 loss_bbox: 0.317204 loss_dfl: 0.192974 loss: 1.415320 eta: 1 day, 16:08:11 batch_cost: 2.7234 data_cost: 0.0017 ips: 29.3755 images/s [10/15 10:54:35] ppdet.engine INFO: Epoch: [158] [180/366] learning_rate: 0.182238 loss_vfl: 0.909381 loss_bbox: 0.322206 loss_dfl: 0.199686 loss: 1.436767 eta: 1 day, 16:07:15 batch_cost: 2.7808 data_cost: 0.0017 ips: 28.7686 images/s [10/15 10:55:32] ppdet.engine INFO: Epoch: [158] [200/366] learning_rate: 0.182124 loss_vfl: 0.908261 loss_bbox: 0.318830 loss_dfl: 0.193826 loss: 1.413840 eta: 1 day, 16:06:17 batch_cost: 2.6857 data_cost: 0.0019 ips: 29.7872 images/s [10/15 10:56:30] ppdet.engine INFO: Epoch: [158] [220/366] learning_rate: 0.182010 loss_vfl: 0.899154 loss_bbox: 0.309633 loss_dfl: 0.200121 loss: 1.407766 eta: 1 day, 16:05:21 batch_cost: 2.7508 data_cost: 0.0017 ips: 29.0827 images/s [10/15 10:57:29] ppdet.engine INFO: Epoch: [158] [240/366] learning_rate: 0.181896 loss_vfl: 0.900737 loss_bbox: 0.309317 loss_dfl: 0.192193 loss: 1.421351 eta: 1 day, 16:04:25 batch_cost: 2.7620 data_cost: 0.0018 ips: 28.9645 images/s [10/15 10:58:25] ppdet.engine INFO: Epoch: [158] [260/366] learning_rate: 0.181782 loss_vfl: 0.909696 loss_bbox: 0.326669 loss_dfl: 0.199861 loss: 1.437832 eta: 1 day, 16:03:27 batch_cost: 2.6843 data_cost: 0.0017 ips: 29.8030 images/s [10/15 10:59:23] ppdet.engine INFO: Epoch: [158] [280/366] learning_rate: 0.181668 loss_vfl: 0.905323 loss_bbox: 0.310704 loss_dfl: 0.190299 loss: 1.414307 eta: 1 day, 16:02:30 batch_cost: 2.7346 data_cost: 0.0017 ips: 29.2545 images/s [10/15 11:00:19] ppdet.engine INFO: Epoch: [158] [300/366] learning_rate: 0.181554 loss_vfl: 0.886972 loss_bbox: 0.326643 loss_dfl: 0.195302 loss: 1.413008 eta: 1 day, 16:01:33 batch_cost: 2.6888 data_cost: 0.0017 ips: 29.7531 images/s [10/15 11:01:17] ppdet.engine INFO: Epoch: [158] [320/366] learning_rate: 0.181440 loss_vfl: 0.898266 loss_bbox: 0.309410 loss_dfl: 0.190580 loss: 1.405756 eta: 1 day, 16:00:36 batch_cost: 2.7261 data_cost: 0.0017 ips: 29.3462 images/s [10/15 11:02:14] ppdet.engine INFO: Epoch: [158] [340/366] learning_rate: 0.181326 loss_vfl: 0.900150 loss_bbox: 0.332896 loss_dfl: 0.203867 loss: 1.431700 eta: 1 day, 15:59:38 batch_cost: 2.7028 data_cost: 0.0016 ips: 29.5985 images/s [10/15 11:03:07] ppdet.engine INFO: Epoch: [158] [360/366] learning_rate: 0.181213 loss_vfl: 0.901747 loss_bbox: 0.306997 loss_dfl: 0.186667 loss: 1.383000 eta: 1 day, 15:58:38 batch_cost: 2.4957 data_cost: 0.0015 ips: 32.0546 images/s [10/15 11:03:46] ppdet.engine INFO: Epoch: [159] [ 0/366] learning_rate: 0.181178 loss_vfl: 0.899492 loss_bbox: 0.301865 loss_dfl: 0.187498 loss: 1.390207 eta: 1 day, 15:58:36 batch_cost: 3.3918 data_cost: 0.4953 ips: 23.5864 images/s [10/15 11:04:46] ppdet.engine INFO: Epoch: [159] [ 20/366] learning_rate: 0.181064 loss_vfl: 0.899079 loss_bbox: 0.316886 loss_dfl: 0.193147 loss: 1.406954 eta: 1 day, 15:57:42 batch_cost: 2.8467 data_cost: 0.0018 ips: 28.1023 images/s [10/15 11:05:45] ppdet.engine INFO: Epoch: [159] [ 40/366] learning_rate: 0.180950 loss_vfl: 0.896798 loss_bbox: 0.310857 loss_dfl: 0.192743 loss: 1.397175 eta: 1 day, 15:56:46 batch_cost: 2.7907 data_cost: 0.0017 ips: 28.6669 images/s [10/15 11:06:43] ppdet.engine INFO: Epoch: [159] [ 60/366] learning_rate: 0.180837 loss_vfl: 0.889173 loss_bbox: 0.331642 loss_dfl: 0.197538 loss: 1.424615 eta: 1 day, 15:55:50 batch_cost: 2.7672 data_cost: 0.0016 ips: 28.9097 images/s [10/15 11:07:41] ppdet.engine INFO: Epoch: [159] [ 80/366] learning_rate: 0.180723 loss_vfl: 0.891047 loss_bbox: 0.311084 loss_dfl: 0.198848 loss: 1.400036 eta: 1 day, 15:54:54 batch_cost: 2.7739 data_cost: 0.0016 ips: 28.8405 images/s [10/15 11:08:40] ppdet.engine INFO: Epoch: [159] [100/366] learning_rate: 0.180609 loss_vfl: 0.899697 loss_bbox: 0.319626 loss_dfl: 0.193753 loss: 1.405509 eta: 1 day, 15:53:58 batch_cost: 2.7634 data_cost: 0.0017 ips: 28.9501 images/s [10/15 11:09:40] ppdet.engine INFO: Epoch: [159] [120/366] learning_rate: 0.180495 loss_vfl: 0.885890 loss_bbox: 0.307804 loss_dfl: 0.190683 loss: 1.410554 eta: 1 day, 15:53:02 batch_cost: 2.8270 data_cost: 0.0018 ips: 28.2981 images/s [10/15 11:10:39] ppdet.engine INFO: Epoch: [159] [140/366] learning_rate: 0.180381 loss_vfl: 0.897219 loss_bbox: 0.321225 loss_dfl: 0.196780 loss: 1.403353 eta: 1 day, 15:52:07 batch_cost: 2.8183 data_cost: 0.0017 ips: 28.3861 images/s [10/15 11:11:36] ppdet.engine INFO: Epoch: [159] [160/366] learning_rate: 0.180267 loss_vfl: 0.915354 loss_bbox: 0.296773 loss_dfl: 0.189165 loss: 1.398892 eta: 1 day, 15:51:10 batch_cost: 2.7235 data_cost: 0.0017 ips: 29.3736 images/s [10/15 11:12:36] ppdet.engine INFO: Epoch: [159] [180/366] learning_rate: 0.180153 loss_vfl: 0.902742 loss_bbox: 0.323041 loss_dfl: 0.200425 loss: 1.407581 eta: 1 day, 15:50:16 batch_cost: 2.8535 data_cost: 0.0016 ips: 28.0358 images/s [10/15 11:13:35] ppdet.engine INFO: Epoch: [159] [200/366] learning_rate: 0.180039 loss_vfl: 0.902436 loss_bbox: 0.319448 loss_dfl: 0.195857 loss: 1.421212 eta: 1 day, 15:49:19 batch_cost: 2.7660 data_cost: 0.0017 ips: 28.9222 images/s [10/15 11:14:35] ppdet.engine INFO: Epoch: [159] [220/366] learning_rate: 0.179925 loss_vfl: 0.909567 loss_bbox: 0.318986 loss_dfl: 0.196740 loss: 1.423661 eta: 1 day, 15:48:25 batch_cost: 2.8887 data_cost: 0.0016 ips: 27.6942 images/s [10/15 11:15:35] ppdet.engine INFO: Epoch: [159] [240/366] learning_rate: 0.179812 loss_vfl: 0.915983 loss_bbox: 0.305185 loss_dfl: 0.192197 loss: 1.413561 eta: 1 day, 15:47:30 batch_cost: 2.8309 data_cost: 0.0017 ips: 28.2598 images/s [10/15 11:16:34] ppdet.engine INFO: Epoch: [159] [260/366] learning_rate: 0.179698 loss_vfl: 0.892998 loss_bbox: 0.311166 loss_dfl: 0.191769 loss: 1.403744 eta: 1 day, 15:46:34 batch_cost: 2.7818 data_cost: 0.0016 ips: 28.7582 images/s [10/15 11:17:33] ppdet.engine INFO: Epoch: [159] [280/366] learning_rate: 0.179584 loss_vfl: 0.891419 loss_bbox: 0.314914 loss_dfl: 0.195497 loss: 1.410372 eta: 1 day, 15:45:39 batch_cost: 2.7975 data_cost: 0.0025 ips: 28.5968 images/s [10/15 11:18:32] ppdet.engine INFO: Epoch: [159] [300/366] learning_rate: 0.179470 loss_vfl: 0.903450 loss_bbox: 0.313656 loss_dfl: 0.197766 loss: 1.432240 eta: 1 day, 15:44:43 batch_cost: 2.7830 data_cost: 0.0017 ips: 28.7461 images/s [10/15 11:19:30] ppdet.engine INFO: Epoch: [159] [320/366] learning_rate: 0.179356 loss_vfl: 0.899188 loss_bbox: 0.329313 loss_dfl: 0.201783 loss: 1.421396 eta: 1 day, 15:43:47 batch_cost: 2.7796 data_cost: 0.0017 ips: 28.7809 images/s [10/15 11:20:27] ppdet.engine INFO: Epoch: [159] [340/366] learning_rate: 0.179242 loss_vfl: 0.901320 loss_bbox: 0.316748 loss_dfl: 0.199881 loss: 1.425627 eta: 1 day, 15:42:49 batch_cost: 2.6829 data_cost: 0.0017 ips: 29.8186 images/s [10/15 11:21:20] ppdet.engine INFO: Epoch: [159] [360/366] learning_rate: 0.179128 loss_vfl: 0.895649 loss_bbox: 0.304404 loss_dfl: 0.193700 loss: 1.397661 eta: 1 day, 15:41:49 batch_cost: 2.5025 data_cost: 0.0016 ips: 31.9677 images/s [10/15 11:21:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 11:21:36] ppdet.engine INFO: Eval iter: 0 [10/15 11:22:15] ppdet.engine INFO: Eval iter: 100 [10/15 11:22:39] ppdet.engine INFO: Eval iter: 200 [10/15 11:23:02] ppdet.engine INFO: Eval iter: 300 [10/15 11:23:25] ppdet.engine INFO: Eval iter: 400 [10/15 11:23:50] ppdet.engine INFO: Eval iter: 500 [10/15 11:24:13] ppdet.engine INFO: Eval iter: 600 [10/15 11:24:35] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/15 11:24:36] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.67s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.39s). Accumulating evaluation results... DONE (t=17.65s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.293 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.438 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.304 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 ] = 0.306 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.269 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.425 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.455 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.188 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.500 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700 [10/15 11:26:39] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.151465656653603 [10/15 11:26:39] ppdet.engine INFO: Best test bbox ap is 0.293. [10/15 11:26:39] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 11:26:41] ppdet.engine INFO: Epoch: [160] [ 0/366] learning_rate: 0.179094 loss_vfl: 0.898982 loss_bbox: 0.305061 loss_dfl: 0.192706 loss: 1.397661 eta: 1 day, 15:41:29 batch_cost: 2.3107 data_cost: 0.0016 ips: 34.6208 images/s [10/15 11:27:41] ppdet.engine INFO: Epoch: [160] [ 20/366] learning_rate: 0.178980 loss_vfl: 0.891524 loss_bbox: 0.300554 loss_dfl: 0.190823 loss: 1.398571 eta: 1 day, 15:40:33 batch_cost: 2.8064 data_cost: 0.0018 ips: 28.5059 images/s [10/15 11:28:39] ppdet.engine INFO: Epoch: [160] [ 40/366] learning_rate: 0.178867 loss_vfl: 0.899570 loss_bbox: 0.323791 loss_dfl: 0.207092 loss: 1.449515 eta: 1 day, 15:39:37 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0919 images/s [10/15 11:29:36] ppdet.engine INFO: Epoch: [160] [ 60/366] learning_rate: 0.178753 loss_vfl: 0.888375 loss_bbox: 0.327947 loss_dfl: 0.201105 loss: 1.424309 eta: 1 day, 15:38:40 batch_cost: 2.7285 data_cost: 0.0016 ips: 29.3201 images/s [10/15 11:30:33] ppdet.engine INFO: Epoch: [160] [ 80/366] learning_rate: 0.178639 loss_vfl: 0.908572 loss_bbox: 0.311918 loss_dfl: 0.198597 loss: 1.415641 eta: 1 day, 15:37:42 batch_cost: 2.6926 data_cost: 0.0016 ips: 29.7108 images/s [10/15 11:31:30] ppdet.engine INFO: Epoch: [160] [100/366] learning_rate: 0.178525 loss_vfl: 0.921104 loss_bbox: 0.314521 loss_dfl: 0.193657 loss: 1.410146 eta: 1 day, 15:36:45 batch_cost: 2.6981 data_cost: 0.0017 ips: 29.6509 images/s [10/15 11:32:27] ppdet.engine INFO: Epoch: [160] [120/366] learning_rate: 0.178412 loss_vfl: 0.900615 loss_bbox: 0.308280 loss_dfl: 0.188655 loss: 1.407019 eta: 1 day, 15:35:48 batch_cost: 2.7286 data_cost: 0.0017 ips: 29.3194 images/s [10/15 11:33:25] ppdet.engine INFO: Epoch: [160] [140/366] learning_rate: 0.178298 loss_vfl: 0.888159 loss_bbox: 0.325623 loss_dfl: 0.201714 loss: 1.409577 eta: 1 day, 15:34:52 batch_cost: 2.7605 data_cost: 0.0017 ips: 28.9797 images/s [10/15 11:34:23] ppdet.engine INFO: Epoch: [160] [160/366] learning_rate: 0.178184 loss_vfl: 0.897221 loss_bbox: 0.319405 loss_dfl: 0.194208 loss: 1.414096 eta: 1 day, 15:33:56 batch_cost: 2.7471 data_cost: 0.0016 ips: 29.1217 images/s [10/15 11:35:22] ppdet.engine INFO: Epoch: [160] [180/366] learning_rate: 0.178070 loss_vfl: 0.904104 loss_bbox: 0.320175 loss_dfl: 0.195572 loss: 1.405466 eta: 1 day, 15:33:00 batch_cost: 2.7853 data_cost: 0.0023 ips: 28.7223 images/s [10/15 11:36:19] ppdet.engine INFO: Epoch: [160] [200/366] learning_rate: 0.177956 loss_vfl: 0.896818 loss_bbox: 0.322042 loss_dfl: 0.196643 loss: 1.406293 eta: 1 day, 15:32:02 batch_cost: 2.6738 data_cost: 0.0019 ips: 29.9199 images/s [10/15 11:37:16] ppdet.engine INFO: Epoch: [160] [220/366] learning_rate: 0.177843 loss_vfl: 0.899409 loss_bbox: 0.322303 loss_dfl: 0.202267 loss: 1.425667 eta: 1 day, 15:31:05 batch_cost: 2.7469 data_cost: 0.0017 ips: 29.1239 images/s [10/15 11:38:15] ppdet.engine INFO: Epoch: [160] [240/366] learning_rate: 0.177729 loss_vfl: 0.908572 loss_bbox: 0.309767 loss_dfl: 0.195431 loss: 1.418000 eta: 1 day, 15:30:10 batch_cost: 2.7835 data_cost: 0.0017 ips: 28.7408 images/s [10/15 11:39:13] ppdet.engine INFO: Epoch: [160] [260/366] learning_rate: 0.177615 loss_vfl: 0.877034 loss_bbox: 0.317363 loss_dfl: 0.196765 loss: 1.410274 eta: 1 day, 15:29:13 batch_cost: 2.7524 data_cost: 0.0017 ips: 29.0654 images/s [10/15 11:40:11] ppdet.engine INFO: Epoch: [160] [280/366] learning_rate: 0.177502 loss_vfl: 0.894969 loss_bbox: 0.332252 loss_dfl: 0.202292 loss: 1.430488 eta: 1 day, 15:28:17 batch_cost: 2.7724 data_cost: 0.0017 ips: 28.8563 images/s [10/15 11:41:08] ppdet.engine INFO: Epoch: [160] [300/366] learning_rate: 0.177388 loss_vfl: 0.906033 loss_bbox: 0.276866 loss_dfl: 0.182775 loss: 1.358560 eta: 1 day, 15:27:20 batch_cost: 2.7017 data_cost: 0.0017 ips: 29.6106 images/s [10/15 11:42:05] ppdet.engine INFO: Epoch: [160] [320/366] learning_rate: 0.177274 loss_vfl: 0.895607 loss_bbox: 0.328917 loss_dfl: 0.197725 loss: 1.428082 eta: 1 day, 15:26:23 batch_cost: 2.7094 data_cost: 0.0025 ips: 29.5266 images/s [10/15 11:43:04] ppdet.engine INFO: Epoch: [160] [340/366] learning_rate: 0.177160 loss_vfl: 0.895667 loss_bbox: 0.323668 loss_dfl: 0.197949 loss: 1.399587 eta: 1 day, 15:25:27 batch_cost: 2.7722 data_cost: 0.0017 ips: 28.8581 images/s [10/15 11:43:59] ppdet.engine INFO: Epoch: [160] [360/366] learning_rate: 0.177047 loss_vfl: 0.897516 loss_bbox: 0.289899 loss_dfl: 0.189220 loss: 1.370013 eta: 1 day, 15:24:28 batch_cost: 2.6046 data_cost: 0.0017 ips: 30.7148 images/s [10/15 11:44:40] ppdet.engine INFO: Epoch: [161] [ 0/366] learning_rate: 0.177013 loss_vfl: 0.889895 loss_bbox: 0.293480 loss_dfl: 0.190962 loss: 1.371477 eta: 1 day, 15:24:28 batch_cost: 3.5787 data_cost: 0.5575 ips: 22.3543 images/s [10/15 11:45:39] ppdet.engine INFO: Epoch: [161] [ 20/366] learning_rate: 0.176899 loss_vfl: 0.905893 loss_bbox: 0.303875 loss_dfl: 0.197783 loss: 1.398475 eta: 1 day, 15:23:33 batch_cost: 2.8302 data_cost: 0.0017 ips: 28.2665 images/s [10/15 11:46:39] ppdet.engine INFO: Epoch: [161] [ 40/366] learning_rate: 0.176785 loss_vfl: 0.899467 loss_bbox: 0.310509 loss_dfl: 0.193447 loss: 1.396829 eta: 1 day, 15:22:38 batch_cost: 2.8607 data_cost: 0.0016 ips: 27.9654 images/s [10/15 11:47:38] ppdet.engine INFO: Epoch: [161] [ 60/366] learning_rate: 0.176672 loss_vfl: 0.896364 loss_bbox: 0.309207 loss_dfl: 0.191986 loss: 1.395366 eta: 1 day, 15:21:42 batch_cost: 2.7620 data_cost: 0.0016 ips: 28.9646 images/s [10/15 11:48:36] ppdet.engine INFO: Epoch: [161] [ 80/366] learning_rate: 0.176558 loss_vfl: 0.886031 loss_bbox: 0.312018 loss_dfl: 0.194230 loss: 1.398066 eta: 1 day, 15:20:46 batch_cost: 2.7730 data_cost: 0.0016 ips: 28.8496 images/s [10/15 11:49:33] ppdet.engine INFO: Epoch: [161] [100/366] learning_rate: 0.176444 loss_vfl: 0.905780 loss_bbox: 0.288630 loss_dfl: 0.188231 loss: 1.392088 eta: 1 day, 15:19:48 batch_cost: 2.6728 data_cost: 0.0017 ips: 29.9311 images/s [10/15 11:50:31] ppdet.engine INFO: Epoch: [161] [120/366] learning_rate: 0.176331 loss_vfl: 0.892836 loss_bbox: 0.324484 loss_dfl: 0.197804 loss: 1.406006 eta: 1 day, 15:18:52 batch_cost: 2.7607 data_cost: 0.0016 ips: 28.9780 images/s [10/15 11:51:28] ppdet.engine INFO: Epoch: [161] [140/366] learning_rate: 0.176217 loss_vfl: 0.901888 loss_bbox: 0.309628 loss_dfl: 0.187101 loss: 1.392512 eta: 1 day, 15:17:55 batch_cost: 2.6970 data_cost: 0.0016 ips: 29.6621 images/s [10/15 11:52:25] ppdet.engine INFO: Epoch: [161] [160/366] learning_rate: 0.176103 loss_vfl: 0.897286 loss_bbox: 0.303588 loss_dfl: 0.189743 loss: 1.386366 eta: 1 day, 15:16:57 batch_cost: 2.6814 data_cost: 0.0016 ips: 29.8354 images/s [10/15 11:53:23] ppdet.engine INFO: Epoch: [161] [180/366] learning_rate: 0.175990 loss_vfl: 0.894270 loss_bbox: 0.298233 loss_dfl: 0.187449 loss: 1.380543 eta: 1 day, 15:16:01 batch_cost: 2.7593 data_cost: 0.0017 ips: 28.9924 images/s [10/15 11:54:21] ppdet.engine INFO: Epoch: [161] [200/366] learning_rate: 0.175876 loss_vfl: 0.894352 loss_bbox: 0.314087 loss_dfl: 0.197383 loss: 1.415132 eta: 1 day, 15:15:04 batch_cost: 2.7521 data_cost: 0.0016 ips: 29.0682 images/s [10/15 11:55:18] ppdet.engine INFO: Epoch: [161] [220/366] learning_rate: 0.175762 loss_vfl: 0.897759 loss_bbox: 0.309957 loss_dfl: 0.188686 loss: 1.397813 eta: 1 day, 15:14:07 batch_cost: 2.7125 data_cost: 0.0016 ips: 29.4935 images/s [10/15 11:56:15] ppdet.engine INFO: Epoch: [161] [240/366] learning_rate: 0.175649 loss_vfl: 0.903104 loss_bbox: 0.305380 loss_dfl: 0.190747 loss: 1.407964 eta: 1 day, 15:13:10 batch_cost: 2.7016 data_cost: 0.0016 ips: 29.6124 images/s [10/15 11:57:11] ppdet.engine INFO: Epoch: [161] [260/366] learning_rate: 0.175535 loss_vfl: 0.896261 loss_bbox: 0.309318 loss_dfl: 0.198305 loss: 1.412971 eta: 1 day, 15:12:12 batch_cost: 2.6462 data_cost: 0.0016 ips: 30.2320 images/s [10/15 11:58:08] ppdet.engine INFO: Epoch: [161] [280/366] learning_rate: 0.175422 loss_vfl: 0.908286 loss_bbox: 0.315719 loss_dfl: 0.191350 loss: 1.403296 eta: 1 day, 15:11:15 batch_cost: 2.7230 data_cost: 0.0017 ips: 29.3792 images/s [10/15 11:59:06] ppdet.engine INFO: Epoch: [161] [300/366] learning_rate: 0.175308 loss_vfl: 0.894810 loss_bbox: 0.311874 loss_dfl: 0.191813 loss: 1.396099 eta: 1 day, 15:10:18 batch_cost: 2.7399 data_cost: 0.0017 ips: 29.1978 images/s [10/15 12:00:04] ppdet.engine INFO: Epoch: [161] [320/366] learning_rate: 0.175195 loss_vfl: 0.896310 loss_bbox: 0.323490 loss_dfl: 0.195837 loss: 1.431350 eta: 1 day, 15:09:22 batch_cost: 2.7319 data_cost: 0.0027 ips: 29.2840 images/s [10/15 12:01:01] ppdet.engine INFO: Epoch: [161] [340/366] learning_rate: 0.175081 loss_vfl: 0.898584 loss_bbox: 0.311310 loss_dfl: 0.196453 loss: 1.398319 eta: 1 day, 15:08:24 batch_cost: 2.7048 data_cost: 0.0017 ips: 29.5772 images/s [10/15 12:01:54] ppdet.engine INFO: Epoch: [161] [360/366] learning_rate: 0.174967 loss_vfl: 0.901551 loss_bbox: 0.303359 loss_dfl: 0.190940 loss: 1.414789 eta: 1 day, 15:07:24 batch_cost: 2.5150 data_cost: 0.0017 ips: 31.8095 images/s [10/15 12:02:32] ppdet.engine INFO: Epoch: [162] [ 0/366] learning_rate: 0.174933 loss_vfl: 0.901923 loss_bbox: 0.310602 loss_dfl: 0.193113 loss: 1.414397 eta: 1 day, 15:07:21 batch_cost: 3.3111 data_cost: 0.3523 ips: 24.1614 images/s [10/15 12:03:32] ppdet.engine INFO: Epoch: [162] [ 20/366] learning_rate: 0.174820 loss_vfl: 0.885920 loss_bbox: 0.292736 loss_dfl: 0.180854 loss: 1.378000 eta: 1 day, 15:06:26 batch_cost: 2.8553 data_cost: 0.0019 ips: 28.0179 images/s [10/15 12:04:30] ppdet.engine INFO: Epoch: [162] [ 40/366] learning_rate: 0.174706 loss_vfl: 0.883275 loss_bbox: 0.307897 loss_dfl: 0.195873 loss: 1.416832 eta: 1 day, 15:05:30 batch_cost: 2.7357 data_cost: 0.0017 ips: 29.2431 images/s [10/15 12:05:30] ppdet.engine INFO: Epoch: [162] [ 60/366] learning_rate: 0.174593 loss_vfl: 0.895403 loss_bbox: 0.326797 loss_dfl: 0.202983 loss: 1.436960 eta: 1 day, 15:04:35 batch_cost: 2.8620 data_cost: 0.0018 ips: 27.9524 images/s [10/15 12:06:29] ppdet.engine INFO: Epoch: [162] [ 80/366] learning_rate: 0.174479 loss_vfl: 0.914947 loss_bbox: 0.308775 loss_dfl: 0.189321 loss: 1.399947 eta: 1 day, 15:03:40 batch_cost: 2.8122 data_cost: 0.0017 ips: 28.4472 images/s [10/15 12:07:28] ppdet.engine INFO: Epoch: [162] [100/366] learning_rate: 0.174366 loss_vfl: 0.902388 loss_bbox: 0.306852 loss_dfl: 0.194698 loss: 1.406918 eta: 1 day, 15:02:43 batch_cost: 2.7547 data_cost: 0.0016 ips: 29.0413 images/s [10/15 12:08:26] ppdet.engine INFO: Epoch: [162] [120/366] learning_rate: 0.174252 loss_vfl: 0.883158 loss_bbox: 0.318974 loss_dfl: 0.194829 loss: 1.404305 eta: 1 day, 15:01:47 batch_cost: 2.7766 data_cost: 0.0016 ips: 28.8118 images/s [10/15 12:09:24] ppdet.engine INFO: Epoch: [162] [140/366] learning_rate: 0.174139 loss_vfl: 0.890834 loss_bbox: 0.311856 loss_dfl: 0.196312 loss: 1.401711 eta: 1 day, 15:00:51 batch_cost: 2.7674 data_cost: 0.0023 ips: 28.9081 images/s [10/15 12:10:21] ppdet.engine INFO: Epoch: [162] [160/366] learning_rate: 0.174025 loss_vfl: 0.891174 loss_bbox: 0.316655 loss_dfl: 0.195697 loss: 1.409429 eta: 1 day, 14:59:54 batch_cost: 2.7027 data_cost: 0.0017 ips: 29.5997 images/s [10/15 12:11:18] ppdet.engine INFO: Epoch: [162] [180/366] learning_rate: 0.173912 loss_vfl: 0.891961 loss_bbox: 0.320002 loss_dfl: 0.195958 loss: 1.403274 eta: 1 day, 14:58:57 batch_cost: 2.6942 data_cost: 0.0016 ips: 29.6934 images/s [10/15 12:12:15] ppdet.engine INFO: Epoch: [162] [200/366] learning_rate: 0.173798 loss_vfl: 0.895299 loss_bbox: 0.310512 loss_dfl: 0.191267 loss: 1.398983 eta: 1 day, 14:58:00 batch_cost: 2.7049 data_cost: 0.0034 ips: 29.5761 images/s [10/15 12:13:13] ppdet.engine INFO: Epoch: [162] [220/366] learning_rate: 0.173685 loss_vfl: 0.895442 loss_bbox: 0.329085 loss_dfl: 0.201544 loss: 1.433534 eta: 1 day, 14:57:03 batch_cost: 2.7551 data_cost: 0.0016 ips: 29.0370 images/s [10/15 12:14:12] ppdet.engine INFO: Epoch: [162] [240/366] learning_rate: 0.173571 loss_vfl: 0.902048 loss_bbox: 0.322100 loss_dfl: 0.200003 loss: 1.431368 eta: 1 day, 14:56:08 batch_cost: 2.7975 data_cost: 0.0016 ips: 28.5965 images/s [10/15 12:15:10] ppdet.engine INFO: Epoch: [162] [260/366] learning_rate: 0.173458 loss_vfl: 0.891463 loss_bbox: 0.310340 loss_dfl: 0.193992 loss: 1.401710 eta: 1 day, 14:55:11 batch_cost: 2.7548 data_cost: 0.0023 ips: 29.0406 images/s [10/15 12:16:08] ppdet.engine INFO: Epoch: [162] [280/366] learning_rate: 0.173345 loss_vfl: 0.899094 loss_bbox: 0.317232 loss_dfl: 0.193795 loss: 1.402928 eta: 1 day, 14:54:15 batch_cost: 2.7426 data_cost: 0.0016 ips: 29.1696 images/s [10/15 12:17:06] ppdet.engine INFO: Epoch: [162] [300/366] learning_rate: 0.173231 loss_vfl: 0.895742 loss_bbox: 0.312852 loss_dfl: 0.196683 loss: 1.414003 eta: 1 day, 14:53:18 batch_cost: 2.7564 data_cost: 0.0017 ips: 29.0230 images/s [10/15 12:18:05] ppdet.engine INFO: Epoch: [162] [320/366] learning_rate: 0.173118 loss_vfl: 0.889893 loss_bbox: 0.319335 loss_dfl: 0.196173 loss: 1.402249 eta: 1 day, 14:52:22 batch_cost: 2.7715 data_cost: 0.0017 ips: 28.8651 images/s [10/15 12:19:04] ppdet.engine INFO: Epoch: [162] [340/366] learning_rate: 0.173004 loss_vfl: 0.896890 loss_bbox: 0.328764 loss_dfl: 0.198219 loss: 1.431783 eta: 1 day, 14:51:27 batch_cost: 2.8110 data_cost: 0.0016 ips: 28.4595 images/s [10/15 12:19:55] ppdet.engine INFO: Epoch: [162] [360/366] learning_rate: 0.172891 loss_vfl: 0.902542 loss_bbox: 0.321302 loss_dfl: 0.195360 loss: 1.428912 eta: 1 day, 14:50:25 batch_cost: 2.3966 data_cost: 0.0016 ips: 33.3810 images/s [10/15 12:20:33] ppdet.engine INFO: Epoch: [163] [ 0/366] learning_rate: 0.172857 loss_vfl: 0.899014 loss_bbox: 0.319399 loss_dfl: 0.195360 loss: 1.432018 eta: 1 day, 14:50:23 batch_cost: 3.3089 data_cost: 0.6565 ips: 24.1776 images/s [10/15 12:21:32] ppdet.engine INFO: Epoch: [163] [ 20/366] learning_rate: 0.172744 loss_vfl: 0.901136 loss_bbox: 0.291602 loss_dfl: 0.184148 loss: 1.382831 eta: 1 day, 14:49:27 batch_cost: 2.7757 data_cost: 0.0018 ips: 28.8220 images/s [10/15 12:22:30] ppdet.engine INFO: Epoch: [163] [ 40/366] learning_rate: 0.172630 loss_vfl: 0.900635 loss_bbox: 0.315102 loss_dfl: 0.195422 loss: 1.395992 eta: 1 day, 14:48:30 batch_cost: 2.7362 data_cost: 0.0016 ips: 29.2380 images/s [10/15 12:23:29] ppdet.engine INFO: Epoch: [163] [ 60/366] learning_rate: 0.172517 loss_vfl: 0.892769 loss_bbox: 0.323695 loss_dfl: 0.195892 loss: 1.404821 eta: 1 day, 14:47:34 batch_cost: 2.7812 data_cost: 0.0016 ips: 28.7644 images/s [10/15 12:24:27] ppdet.engine INFO: Epoch: [163] [ 80/366] learning_rate: 0.172403 loss_vfl: 0.890187 loss_bbox: 0.310931 loss_dfl: 0.189784 loss: 1.419887 eta: 1 day, 14:46:38 batch_cost: 2.7513 data_cost: 0.0017 ips: 29.0772 images/s [10/15 12:25:24] ppdet.engine INFO: Epoch: [163] [100/366] learning_rate: 0.172290 loss_vfl: 0.894523 loss_bbox: 0.311047 loss_dfl: 0.191421 loss: 1.382886 eta: 1 day, 14:45:41 batch_cost: 2.7426 data_cost: 0.0017 ips: 29.1695 images/s [10/15 12:26:22] ppdet.engine INFO: Epoch: [163] [120/366] learning_rate: 0.172177 loss_vfl: 0.895687 loss_bbox: 0.310270 loss_dfl: 0.196090 loss: 1.396652 eta: 1 day, 14:44:44 batch_cost: 2.7346 data_cost: 0.0023 ips: 29.2544 images/s [10/15 12:27:21] ppdet.engine INFO: Epoch: [163] [140/366] learning_rate: 0.172063 loss_vfl: 0.889659 loss_bbox: 0.333655 loss_dfl: 0.201530 loss: 1.420099 eta: 1 day, 14:43:49 batch_cost: 2.7840 data_cost: 0.0016 ips: 28.7358 images/s [10/15 12:28:18] ppdet.engine INFO: Epoch: [163] [160/366] learning_rate: 0.171950 loss_vfl: 0.903908 loss_bbox: 0.316230 loss_dfl: 0.194451 loss: 1.412931 eta: 1 day, 14:42:52 batch_cost: 2.7251 data_cost: 0.0017 ips: 29.3567 images/s [10/15 12:29:16] ppdet.engine INFO: Epoch: [163] [180/366] learning_rate: 0.171837 loss_vfl: 0.896702 loss_bbox: 0.310158 loss_dfl: 0.195074 loss: 1.424195 eta: 1 day, 14:41:55 batch_cost: 2.7415 data_cost: 0.0018 ips: 29.1816 images/s [10/15 12:30:14] ppdet.engine INFO: Epoch: [163] [200/366] learning_rate: 0.171723 loss_vfl: 0.900062 loss_bbox: 0.311980 loss_dfl: 0.194360 loss: 1.414644 eta: 1 day, 14:40:59 batch_cost: 2.7345 data_cost: 0.0017 ips: 29.2557 images/s [10/15 12:31:12] ppdet.engine INFO: Epoch: [163] [220/366] learning_rate: 0.171610 loss_vfl: 0.883422 loss_bbox: 0.316746 loss_dfl: 0.193603 loss: 1.402182 eta: 1 day, 14:40:02 batch_cost: 2.7470 data_cost: 0.0016 ips: 29.1223 images/s [10/15 12:32:09] ppdet.engine INFO: Epoch: [163] [240/366] learning_rate: 0.171497 loss_vfl: 0.872544 loss_bbox: 0.314803 loss_dfl: 0.192759 loss: 1.376794 eta: 1 day, 14:39:05 batch_cost: 2.7338 data_cost: 0.0016 ips: 29.2629 images/s [10/15 12:33:07] ppdet.engine INFO: Epoch: [163] [260/366] learning_rate: 0.171384 loss_vfl: 0.898176 loss_bbox: 0.301091 loss_dfl: 0.190993 loss: 1.401366 eta: 1 day, 14:38:09 batch_cost: 2.7430 data_cost: 0.0016 ips: 29.1651 images/s [10/15 12:34:05] ppdet.engine INFO: Epoch: [163] [280/366] learning_rate: 0.171270 loss_vfl: 0.891763 loss_bbox: 0.317021 loss_dfl: 0.188576 loss: 1.399057 eta: 1 day, 14:37:12 batch_cost: 2.7391 data_cost: 0.0018 ips: 29.2069 images/s [10/15 12:35:01] ppdet.engine INFO: Epoch: [163] [300/366] learning_rate: 0.171157 loss_vfl: 0.898192 loss_bbox: 0.327679 loss_dfl: 0.196854 loss: 1.418736 eta: 1 day, 14:36:15 batch_cost: 2.6839 data_cost: 0.0017 ips: 29.8077 images/s [10/15 12:35:59] ppdet.engine INFO: Epoch: [163] [320/366] learning_rate: 0.171044 loss_vfl: 0.901864 loss_bbox: 0.310873 loss_dfl: 0.195176 loss: 1.410661 eta: 1 day, 14:35:18 batch_cost: 2.7148 data_cost: 0.0017 ips: 29.4676 images/s [10/15 12:36:57] ppdet.engine INFO: Epoch: [163] [340/366] learning_rate: 0.170931 loss_vfl: 0.904427 loss_bbox: 0.313752 loss_dfl: 0.196043 loss: 1.409297 eta: 1 day, 14:34:21 batch_cost: 2.7408 data_cost: 0.0016 ips: 29.1885 images/s [10/15 12:37:50] ppdet.engine INFO: Epoch: [163] [360/366] learning_rate: 0.170817 loss_vfl: 0.905872 loss_bbox: 0.304504 loss_dfl: 0.187552 loss: 1.393281 eta: 1 day, 14:33:20 batch_cost: 2.4685 data_cost: 0.0016 ips: 32.4078 images/s [10/15 12:38:29] ppdet.engine INFO: Epoch: [164] [ 0/366] learning_rate: 0.170783 loss_vfl: 0.916328 loss_bbox: 0.312240 loss_dfl: 0.189438 loss: 1.411902 eta: 1 day, 14:33:18 batch_cost: 3.3905 data_cost: 0.4386 ips: 23.5955 images/s [10/15 12:39:27] ppdet.engine INFO: Epoch: [164] [ 20/366] learning_rate: 0.170670 loss_vfl: 0.906871 loss_bbox: 0.314774 loss_dfl: 0.196723 loss: 1.399119 eta: 1 day, 14:32:22 batch_cost: 2.7331 data_cost: 0.0018 ips: 29.2708 images/s [10/15 12:40:25] ppdet.engine INFO: Epoch: [164] [ 40/366] learning_rate: 0.170557 loss_vfl: 0.866743 loss_bbox: 0.307847 loss_dfl: 0.189979 loss: 1.371876 eta: 1 day, 14:31:25 batch_cost: 2.7543 data_cost: 0.0016 ips: 29.0450 images/s [10/15 12:41:23] ppdet.engine INFO: Epoch: [164] [ 60/366] learning_rate: 0.170444 loss_vfl: 0.892241 loss_bbox: 0.311262 loss_dfl: 0.194356 loss: 1.407810 eta: 1 day, 14:30:28 batch_cost: 2.7201 data_cost: 0.0017 ips: 29.4104 images/s [10/15 12:42:20] ppdet.engine INFO: Epoch: [164] [ 80/366] learning_rate: 0.170331 loss_vfl: 0.896224 loss_bbox: 0.300732 loss_dfl: 0.187184 loss: 1.387026 eta: 1 day, 14:29:31 batch_cost: 2.7057 data_cost: 0.0016 ips: 29.5671 images/s [10/15 12:43:18] ppdet.engine INFO: Epoch: [164] [100/366] learning_rate: 0.170217 loss_vfl: 0.888888 loss_bbox: 0.310696 loss_dfl: 0.191589 loss: 1.390582 eta: 1 day, 14:28:35 batch_cost: 2.7542 data_cost: 0.0016 ips: 29.0466 images/s [10/15 12:44:15] ppdet.engine INFO: Epoch: [164] [120/366] learning_rate: 0.170104 loss_vfl: 0.884363 loss_bbox: 0.301380 loss_dfl: 0.190677 loss: 1.388407 eta: 1 day, 14:27:38 batch_cost: 2.7381 data_cost: 0.0016 ips: 29.2174 images/s [10/15 12:45:13] ppdet.engine INFO: Epoch: [164] [140/366] learning_rate: 0.169991 loss_vfl: 0.897796 loss_bbox: 0.315457 loss_dfl: 0.197614 loss: 1.409294 eta: 1 day, 14:26:42 batch_cost: 2.7435 data_cost: 0.0016 ips: 29.1595 images/s [10/15 12:46:10] ppdet.engine INFO: Epoch: [164] [160/366] learning_rate: 0.169878 loss_vfl: 0.889977 loss_bbox: 0.311494 loss_dfl: 0.194957 loss: 1.394694 eta: 1 day, 14:25:45 batch_cost: 2.7047 data_cost: 0.0016 ips: 29.5780 images/s [10/15 12:47:09] ppdet.engine INFO: Epoch: [164] [180/366] learning_rate: 0.169765 loss_vfl: 0.892232 loss_bbox: 0.315765 loss_dfl: 0.193853 loss: 1.408187 eta: 1 day, 14:24:48 batch_cost: 2.7544 data_cost: 0.0016 ips: 29.0445 images/s [10/15 12:48:06] ppdet.engine INFO: Epoch: [164] [200/366] learning_rate: 0.169652 loss_vfl: 0.893288 loss_bbox: 0.312969 loss_dfl: 0.197856 loss: 1.407993 eta: 1 day, 14:23:51 batch_cost: 2.7219 data_cost: 0.0016 ips: 29.3916 images/s [10/15 12:49:05] ppdet.engine INFO: Epoch: [164] [220/366] learning_rate: 0.169539 loss_vfl: 0.915947 loss_bbox: 0.305932 loss_dfl: 0.191933 loss: 1.420190 eta: 1 day, 14:22:55 batch_cost: 2.7765 data_cost: 0.0018 ips: 28.8137 images/s [10/15 12:50:02] ppdet.engine INFO: Epoch: [164] [240/366] learning_rate: 0.169425 loss_vfl: 0.891290 loss_bbox: 0.312184 loss_dfl: 0.189472 loss: 1.387631 eta: 1 day, 14:21:58 batch_cost: 2.7084 data_cost: 0.0016 ips: 29.5376 images/s [10/15 12:51:02] ppdet.engine INFO: Epoch: [164] [260/366] learning_rate: 0.169312 loss_vfl: 0.888867 loss_bbox: 0.328728 loss_dfl: 0.200736 loss: 1.412467 eta: 1 day, 14:21:04 batch_cost: 2.8807 data_cost: 0.0016 ips: 27.7706 images/s [10/15 12:52:00] ppdet.engine INFO: Epoch: [164] [280/366] learning_rate: 0.169199 loss_vfl: 0.900697 loss_bbox: 0.315317 loss_dfl: 0.195983 loss: 1.418065 eta: 1 day, 14:20:07 batch_cost: 2.7226 data_cost: 0.0017 ips: 29.3838 images/s [10/15 12:52:58] ppdet.engine INFO: Epoch: [164] [300/366] learning_rate: 0.169086 loss_vfl: 0.908048 loss_bbox: 0.311293 loss_dfl: 0.192095 loss: 1.420988 eta: 1 day, 14:19:11 batch_cost: 2.7595 data_cost: 0.0016 ips: 28.9912 images/s [10/15 12:53:56] ppdet.engine INFO: Epoch: [164] [320/366] learning_rate: 0.168973 loss_vfl: 0.906851 loss_bbox: 0.300744 loss_dfl: 0.192242 loss: 1.382539 eta: 1 day, 14:18:15 batch_cost: 2.7599 data_cost: 0.0017 ips: 28.9864 images/s [10/15 12:54:54] ppdet.engine INFO: Epoch: [164] [340/366] learning_rate: 0.168860 loss_vfl: 0.880641 loss_bbox: 0.329406 loss_dfl: 0.202928 loss: 1.422656 eta: 1 day, 14:17:18 batch_cost: 2.7499 data_cost: 0.0061 ips: 29.0923 images/s [10/15 12:55:48] ppdet.engine INFO: Epoch: [164] [360/366] learning_rate: 0.168747 loss_vfl: 0.900444 loss_bbox: 0.330250 loss_dfl: 0.191065 loss: 1.425211 eta: 1 day, 14:16:19 batch_cost: 2.5344 data_cost: 0.0016 ips: 31.5656 images/s [10/15 12:56:28] ppdet.engine INFO: Epoch: [165] [ 0/366] learning_rate: 0.168713 loss_vfl: 0.901147 loss_bbox: 0.318376 loss_dfl: 0.192370 loss: 1.410182 eta: 1 day, 14:16:17 batch_cost: 3.4510 data_cost: 0.6359 ips: 23.1814 images/s [10/15 12:57:29] ppdet.engine INFO: Epoch: [165] [ 20/366] learning_rate: 0.168600 loss_vfl: 0.879818 loss_bbox: 0.302302 loss_dfl: 0.191098 loss: 1.376409 eta: 1 day, 14:15:23 batch_cost: 2.9052 data_cost: 0.0018 ips: 27.5364 images/s [10/15 12:58:30] ppdet.engine INFO: Epoch: [165] [ 40/366] learning_rate: 0.168487 loss_vfl: 0.889400 loss_bbox: 0.311139 loss_dfl: 0.193832 loss: 1.394323 eta: 1 day, 14:14:29 batch_cost: 2.8744 data_cost: 0.0016 ips: 27.8320 images/s [10/15 12:59:29] ppdet.engine INFO: Epoch: [165] [ 60/366] learning_rate: 0.168374 loss_vfl: 0.891338 loss_bbox: 0.302905 loss_dfl: 0.199497 loss: 1.393091 eta: 1 day, 14:13:34 batch_cost: 2.8254 data_cost: 0.0017 ips: 28.3150 images/s [10/15 13:00:28] ppdet.engine INFO: Epoch: [165] [ 80/366] learning_rate: 0.168261 loss_vfl: 0.876380 loss_bbox: 0.321364 loss_dfl: 0.194720 loss: 1.383661 eta: 1 day, 14:12:38 batch_cost: 2.7770 data_cost: 0.0017 ips: 28.8083 images/s [10/15 13:01:26] ppdet.engine INFO: Epoch: [165] [100/366] learning_rate: 0.168148 loss_vfl: 0.878332 loss_bbox: 0.319394 loss_dfl: 0.201501 loss: 1.399730 eta: 1 day, 14:11:42 batch_cost: 2.7735 data_cost: 0.0016 ips: 28.8441 images/s [10/15 13:02:25] ppdet.engine INFO: Epoch: [165] [120/366] learning_rate: 0.168035 loss_vfl: 0.891120 loss_bbox: 0.311076 loss_dfl: 0.195024 loss: 1.403365 eta: 1 day, 14:10:46 batch_cost: 2.7670 data_cost: 0.0017 ips: 28.9122 images/s [10/15 13:03:22] ppdet.engine INFO: Epoch: [165] [140/366] learning_rate: 0.167922 loss_vfl: 0.914247 loss_bbox: 0.302298 loss_dfl: 0.190261 loss: 1.400241 eta: 1 day, 14:09:49 batch_cost: 2.7265 data_cost: 0.0017 ips: 29.3420 images/s [10/15 13:04:22] ppdet.engine INFO: Epoch: [165] [160/366] learning_rate: 0.167809 loss_vfl: 0.890439 loss_bbox: 0.313153 loss_dfl: 0.197017 loss: 1.388471 eta: 1 day, 14:08:54 batch_cost: 2.8345 data_cost: 0.0017 ips: 28.2237 images/s [10/15 13:05:20] ppdet.engine INFO: Epoch: [165] [180/366] learning_rate: 0.167696 loss_vfl: 0.906351 loss_bbox: 0.311611 loss_dfl: 0.189851 loss: 1.397625 eta: 1 day, 14:07:58 batch_cost: 2.7669 data_cost: 0.0027 ips: 28.9131 images/s [10/15 13:06:18] ppdet.engine INFO: Epoch: [165] [200/366] learning_rate: 0.167583 loss_vfl: 0.894624 loss_bbox: 0.317127 loss_dfl: 0.195311 loss: 1.405478 eta: 1 day, 14:07:01 batch_cost: 2.7504 data_cost: 0.0023 ips: 29.0864 images/s [10/15 13:07:17] ppdet.engine INFO: Epoch: [165] [220/366] learning_rate: 0.167470 loss_vfl: 0.892586 loss_bbox: 0.311372 loss_dfl: 0.193344 loss: 1.414536 eta: 1 day, 14:06:05 batch_cost: 2.7621 data_cost: 0.0017 ips: 28.9637 images/s [10/15 13:08:15] ppdet.engine INFO: Epoch: [165] [240/366] learning_rate: 0.167357 loss_vfl: 0.895295 loss_bbox: 0.301397 loss_dfl: 0.193546 loss: 1.401586 eta: 1 day, 14:05:09 batch_cost: 2.7435 data_cost: 0.0016 ips: 29.1593 images/s [10/15 13:09:13] ppdet.engine INFO: Epoch: [165] [260/366] learning_rate: 0.167244 loss_vfl: 0.896281 loss_bbox: 0.324573 loss_dfl: 0.197621 loss: 1.420873 eta: 1 day, 14:04:12 batch_cost: 2.7527 data_cost: 0.0016 ips: 29.0627 images/s [10/15 13:10:11] ppdet.engine INFO: Epoch: [165] [280/366] learning_rate: 0.167132 loss_vfl: 0.908640 loss_bbox: 0.301523 loss_dfl: 0.190617 loss: 1.398854 eta: 1 day, 14:03:16 batch_cost: 2.7432 data_cost: 0.0016 ips: 29.1633 images/s [10/15 13:11:08] ppdet.engine INFO: Epoch: [165] [300/366] learning_rate: 0.167019 loss_vfl: 0.900658 loss_bbox: 0.324924 loss_dfl: 0.197600 loss: 1.434847 eta: 1 day, 14:02:19 batch_cost: 2.7092 data_cost: 0.0017 ips: 29.5287 images/s [10/15 13:12:05] ppdet.engine INFO: Epoch: [165] [320/366] learning_rate: 0.166906 loss_vfl: 0.910799 loss_bbox: 0.327657 loss_dfl: 0.196017 loss: 1.410483 eta: 1 day, 14:01:22 batch_cost: 2.7227 data_cost: 0.0023 ips: 29.3831 images/s [10/15 13:13:02] ppdet.engine INFO: Epoch: [165] [340/366] learning_rate: 0.166793 loss_vfl: 0.906237 loss_bbox: 0.317926 loss_dfl: 0.197450 loss: 1.415981 eta: 1 day, 14:00:24 batch_cost: 2.6741 data_cost: 0.0016 ips: 29.9165 images/s [10/15 13:13:56] ppdet.engine INFO: Epoch: [165] [360/366] learning_rate: 0.166680 loss_vfl: 0.887826 loss_bbox: 0.322679 loss_dfl: 0.196823 loss: 1.393737 eta: 1 day, 13:59:24 batch_cost: 2.5449 data_cost: 0.0016 ips: 31.4359 images/s [10/15 13:14:36] ppdet.engine INFO: Epoch: [166] [ 0/366] learning_rate: 0.166646 loss_vfl: 0.882780 loss_bbox: 0.314741 loss_dfl: 0.195520 loss: 1.384099 eta: 1 day, 13:59:22 batch_cost: 3.4392 data_cost: 0.6054 ips: 23.2613 images/s [10/15 13:15:36] ppdet.engine INFO: Epoch: [166] [ 20/366] learning_rate: 0.166533 loss_vfl: 0.901461 loss_bbox: 0.309575 loss_dfl: 0.193279 loss: 1.404656 eta: 1 day, 13:58:28 batch_cost: 2.8578 data_cost: 0.0020 ips: 27.9932 images/s [10/15 13:16:35] ppdet.engine INFO: Epoch: [166] [ 40/366] learning_rate: 0.166421 loss_vfl: 0.891778 loss_bbox: 0.305141 loss_dfl: 0.188649 loss: 1.389953 eta: 1 day, 13:57:32 batch_cost: 2.8264 data_cost: 0.0024 ips: 28.3044 images/s [10/15 13:17:33] ppdet.engine INFO: Epoch: [166] [ 60/366] learning_rate: 0.166308 loss_vfl: 0.891297 loss_bbox: 0.319836 loss_dfl: 0.194910 loss: 1.415645 eta: 1 day, 13:56:36 batch_cost: 2.7494 data_cost: 0.0024 ips: 29.0976 images/s [10/15 13:18:32] ppdet.engine INFO: Epoch: [166] [ 80/366] learning_rate: 0.166195 loss_vfl: 0.891688 loss_bbox: 0.315922 loss_dfl: 0.192806 loss: 1.410994 eta: 1 day, 13:55:40 batch_cost: 2.7670 data_cost: 0.0017 ips: 28.9127 images/s [10/15 13:19:30] ppdet.engine INFO: Epoch: [166] [100/366] learning_rate: 0.166082 loss_vfl: 0.910733 loss_bbox: 0.302967 loss_dfl: 0.192188 loss: 1.401501 eta: 1 day, 13:54:44 batch_cost: 2.7534 data_cost: 0.0016 ips: 29.0551 images/s [10/15 13:20:27] ppdet.engine INFO: Epoch: [166] [120/366] learning_rate: 0.165969 loss_vfl: 0.877967 loss_bbox: 0.301177 loss_dfl: 0.190705 loss: 1.370789 eta: 1 day, 13:53:47 batch_cost: 2.7504 data_cost: 0.0016 ips: 29.0864 images/s [10/15 13:21:26] ppdet.engine INFO: Epoch: [166] [140/366] learning_rate: 0.165857 loss_vfl: 0.900658 loss_bbox: 0.316668 loss_dfl: 0.196779 loss: 1.401145 eta: 1 day, 13:52:52 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6360 images/s [10/15 13:22:27] ppdet.engine INFO: Epoch: [166] [160/366] learning_rate: 0.165744 loss_vfl: 0.906975 loss_bbox: 0.306503 loss_dfl: 0.192064 loss: 1.406425 eta: 1 day, 13:51:57 batch_cost: 2.8866 data_cost: 0.0016 ips: 27.7145 images/s [10/15 13:23:26] ppdet.engine INFO: Epoch: [166] [180/366] learning_rate: 0.165631 loss_vfl: 0.905417 loss_bbox: 0.318184 loss_dfl: 0.197827 loss: 1.402274 eta: 1 day, 13:51:01 batch_cost: 2.7784 data_cost: 0.0016 ips: 28.7939 images/s [10/15 13:24:24] ppdet.engine INFO: Epoch: [166] [200/366] learning_rate: 0.165518 loss_vfl: 0.907527 loss_bbox: 0.307681 loss_dfl: 0.193204 loss: 1.424255 eta: 1 day, 13:50:05 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9149 images/s [10/15 13:25:23] ppdet.engine INFO: Epoch: [166] [220/366] learning_rate: 0.165406 loss_vfl: 0.891130 loss_bbox: 0.326226 loss_dfl: 0.196631 loss: 1.419567 eta: 1 day, 13:49:10 batch_cost: 2.8094 data_cost: 0.0016 ips: 28.4761 images/s [10/15 13:26:23] ppdet.engine INFO: Epoch: [166] [240/366] learning_rate: 0.165293 loss_vfl: 0.887707 loss_bbox: 0.302703 loss_dfl: 0.192447 loss: 1.388080 eta: 1 day, 13:48:15 batch_cost: 2.8425 data_cost: 0.0017 ips: 28.1446 images/s [10/15 13:27:22] ppdet.engine INFO: Epoch: [166] [260/366] learning_rate: 0.165180 loss_vfl: 0.878404 loss_bbox: 0.328343 loss_dfl: 0.199377 loss: 1.402345 eta: 1 day, 13:47:19 batch_cost: 2.8095 data_cost: 0.0016 ips: 28.4753 images/s [10/15 13:28:20] ppdet.engine INFO: Epoch: [166] [280/366] learning_rate: 0.165068 loss_vfl: 0.891912 loss_bbox: 0.306457 loss_dfl: 0.192268 loss: 1.405116 eta: 1 day, 13:46:23 batch_cost: 2.7579 data_cost: 0.0016 ips: 29.0071 images/s [10/15 13:29:21] ppdet.engine INFO: Epoch: [166] [300/366] learning_rate: 0.164955 loss_vfl: 0.902617 loss_bbox: 0.326629 loss_dfl: 0.196494 loss: 1.418221 eta: 1 day, 13:45:29 batch_cost: 2.8706 data_cost: 0.0018 ips: 27.8692 images/s [10/15 13:30:21] ppdet.engine INFO: Epoch: [166] [320/366] learning_rate: 0.164842 loss_vfl: 0.899050 loss_bbox: 0.325649 loss_dfl: 0.197119 loss: 1.420649 eta: 1 day, 13:44:34 batch_cost: 2.8583 data_cost: 0.0016 ips: 27.9882 images/s [10/15 13:31:20] ppdet.engine INFO: Epoch: [166] [340/366] learning_rate: 0.164729 loss_vfl: 0.908808 loss_bbox: 0.310614 loss_dfl: 0.191564 loss: 1.405940 eta: 1 day, 13:43:39 batch_cost: 2.8350 data_cost: 0.0017 ips: 28.2187 images/s [10/15 13:32:16] ppdet.engine INFO: Epoch: [166] [360/366] learning_rate: 0.164617 loss_vfl: 0.897264 loss_bbox: 0.312206 loss_dfl: 0.195346 loss: 1.399632 eta: 1 day, 13:42:41 batch_cost: 2.6300 data_cost: 0.0017 ips: 30.4187 images/s [10/15 13:32:53] ppdet.engine INFO: Epoch: [167] [ 0/366] learning_rate: 0.164583 loss_vfl: 0.891991 loss_bbox: 0.321363 loss_dfl: 0.197919 loss: 1.399632 eta: 1 day, 13:42:36 batch_cost: 3.3618 data_cost: 0.3699 ips: 23.7965 images/s [10/15 13:33:53] ppdet.engine INFO: Epoch: [167] [ 20/366] learning_rate: 0.164470 loss_vfl: 0.883420 loss_bbox: 0.311196 loss_dfl: 0.194568 loss: 1.417267 eta: 1 day, 13:41:41 batch_cost: 2.8036 data_cost: 0.0024 ips: 28.5349 images/s [10/15 13:34:50] ppdet.engine INFO: Epoch: [167] [ 40/366] learning_rate: 0.164358 loss_vfl: 0.896092 loss_bbox: 0.311028 loss_dfl: 0.189837 loss: 1.399502 eta: 1 day, 13:40:44 batch_cost: 2.7499 data_cost: 0.0018 ips: 29.0923 images/s [10/15 13:35:49] ppdet.engine INFO: Epoch: [167] [ 60/366] learning_rate: 0.164245 loss_vfl: 0.889942 loss_bbox: 0.317052 loss_dfl: 0.196505 loss: 1.393355 eta: 1 day, 13:39:49 batch_cost: 2.7865 data_cost: 0.0016 ips: 28.7096 images/s [10/15 13:36:49] ppdet.engine INFO: Epoch: [167] [ 80/366] learning_rate: 0.164133 loss_vfl: 0.892502 loss_bbox: 0.307177 loss_dfl: 0.186281 loss: 1.398784 eta: 1 day, 13:38:53 batch_cost: 2.8098 data_cost: 0.0017 ips: 28.4716 images/s [10/15 13:37:47] ppdet.engine INFO: Epoch: [167] [100/366] learning_rate: 0.164020 loss_vfl: 0.887851 loss_bbox: 0.314934 loss_dfl: 0.194996 loss: 1.394977 eta: 1 day, 13:37:57 batch_cost: 2.7480 data_cost: 0.0016 ips: 29.1124 images/s [10/15 13:38:46] ppdet.engine INFO: Epoch: [167] [120/366] learning_rate: 0.163907 loss_vfl: 0.902889 loss_bbox: 0.311873 loss_dfl: 0.191024 loss: 1.399356 eta: 1 day, 13:37:01 batch_cost: 2.7778 data_cost: 0.0017 ips: 28.8000 images/s [10/15 13:39:44] ppdet.engine INFO: Epoch: [167] [140/366] learning_rate: 0.163795 loss_vfl: 0.898263 loss_bbox: 0.306614 loss_dfl: 0.194822 loss: 1.408299 eta: 1 day, 13:36:04 batch_cost: 2.7462 data_cost: 0.0032 ips: 29.1310 images/s [10/15 13:40:43] ppdet.engine INFO: Epoch: [167] [160/366] learning_rate: 0.163682 loss_vfl: 0.899591 loss_bbox: 0.313028 loss_dfl: 0.193658 loss: 1.416960 eta: 1 day, 13:35:09 batch_cost: 2.8067 data_cost: 0.0017 ips: 28.5030 images/s [10/15 13:41:42] ppdet.engine INFO: Epoch: [167] [180/366] learning_rate: 0.163570 loss_vfl: 0.893918 loss_bbox: 0.319916 loss_dfl: 0.199751 loss: 1.401086 eta: 1 day, 13:34:13 batch_cost: 2.8088 data_cost: 0.0016 ips: 28.4819 images/s [10/15 13:42:42] ppdet.engine INFO: Epoch: [167] [200/366] learning_rate: 0.163457 loss_vfl: 0.900105 loss_bbox: 0.314890 loss_dfl: 0.198483 loss: 1.423032 eta: 1 day, 13:33:18 batch_cost: 2.8425 data_cost: 0.0017 ips: 28.1441 images/s [10/15 13:43:43] ppdet.engine INFO: Epoch: [167] [220/366] learning_rate: 0.163345 loss_vfl: 0.889614 loss_bbox: 0.296713 loss_dfl: 0.183109 loss: 1.369810 eta: 1 day, 13:32:24 batch_cost: 2.8643 data_cost: 0.0016 ips: 27.9305 images/s [10/15 13:44:42] ppdet.engine INFO: Epoch: [167] [240/366] learning_rate: 0.163232 loss_vfl: 0.898547 loss_bbox: 0.316797 loss_dfl: 0.197943 loss: 1.430125 eta: 1 day, 13:31:29 batch_cost: 2.8364 data_cost: 0.0017 ips: 28.2053 images/s [10/15 13:45:41] ppdet.engine INFO: Epoch: [167] [260/366] learning_rate: 0.163120 loss_vfl: 0.889415 loss_bbox: 0.310921 loss_dfl: 0.196812 loss: 1.394262 eta: 1 day, 13:30:33 batch_cost: 2.7726 data_cost: 0.0022 ips: 28.8538 images/s [10/15 13:46:40] ppdet.engine INFO: Epoch: [167] [280/366] learning_rate: 0.163007 loss_vfl: 0.905989 loss_bbox: 0.306729 loss_dfl: 0.191142 loss: 1.401012 eta: 1 day, 13:29:37 batch_cost: 2.8129 data_cost: 0.0016 ips: 28.4408 images/s [10/15 13:47:39] ppdet.engine INFO: Epoch: [167] [300/366] learning_rate: 0.162895 loss_vfl: 0.909604 loss_bbox: 0.297535 loss_dfl: 0.188536 loss: 1.405473 eta: 1 day, 13:28:42 batch_cost: 2.7993 data_cost: 0.0016 ips: 28.5786 images/s [10/15 13:48:38] ppdet.engine INFO: Epoch: [167] [320/366] learning_rate: 0.162782 loss_vfl: 0.891820 loss_bbox: 0.309635 loss_dfl: 0.188372 loss: 1.408282 eta: 1 day, 13:27:46 batch_cost: 2.8170 data_cost: 0.0017 ips: 28.3989 images/s [10/15 13:49:38] ppdet.engine INFO: Epoch: [167] [340/366] learning_rate: 0.162670 loss_vfl: 0.893011 loss_bbox: 0.308401 loss_dfl: 0.193460 loss: 1.408712 eta: 1 day, 13:26:51 batch_cost: 2.8319 data_cost: 0.0017 ips: 28.2495 images/s [10/15 13:50:32] ppdet.engine INFO: Epoch: [167] [360/366] learning_rate: 0.162557 loss_vfl: 0.880445 loss_bbox: 0.305294 loss_dfl: 0.192150 loss: 1.375733 eta: 1 day, 13:25:52 batch_cost: 2.5544 data_cost: 0.0016 ips: 31.3179 images/s [10/15 13:51:10] ppdet.engine INFO: Epoch: [168] [ 0/366] learning_rate: 0.162524 loss_vfl: 0.874024 loss_bbox: 0.316247 loss_dfl: 0.195755 loss: 1.394947 eta: 1 day, 13:25:48 batch_cost: 3.3831 data_cost: 0.3861 ips: 23.6466 images/s [10/15 13:52:13] ppdet.engine INFO: Epoch: [168] [ 20/366] learning_rate: 0.162411 loss_vfl: 0.889777 loss_bbox: 0.302361 loss_dfl: 0.192493 loss: 1.397200 eta: 1 day, 13:24:55 batch_cost: 2.9355 data_cost: 0.0017 ips: 27.2528 images/s [10/15 13:53:13] ppdet.engine INFO: Epoch: [168] [ 40/366] learning_rate: 0.162299 loss_vfl: 0.892042 loss_bbox: 0.330696 loss_dfl: 0.199439 loss: 1.420066 eta: 1 day, 13:24:00 batch_cost: 2.8657 data_cost: 0.0017 ips: 27.9161 images/s [10/15 13:54:11] ppdet.engine INFO: Epoch: [168] [ 60/366] learning_rate: 0.162187 loss_vfl: 0.874752 loss_bbox: 0.323159 loss_dfl: 0.193097 loss: 1.391518 eta: 1 day, 13:23:04 batch_cost: 2.7401 data_cost: 0.0016 ips: 29.1958 images/s [10/15 13:55:10] ppdet.engine INFO: Epoch: [168] [ 80/366] learning_rate: 0.162074 loss_vfl: 0.887653 loss_bbox: 0.323014 loss_dfl: 0.193099 loss: 1.411152 eta: 1 day, 13:22:08 batch_cost: 2.8151 data_cost: 0.0016 ips: 28.4186 images/s [10/15 13:56:11] ppdet.engine INFO: Epoch: [168] [100/366] learning_rate: 0.161962 loss_vfl: 0.875850 loss_bbox: 0.317085 loss_dfl: 0.195474 loss: 1.378673 eta: 1 day, 13:21:13 batch_cost: 2.8424 data_cost: 0.0023 ips: 28.1447 images/s [10/15 13:57:10] ppdet.engine INFO: Epoch: [168] [120/366] learning_rate: 0.161849 loss_vfl: 0.888430 loss_bbox: 0.299391 loss_dfl: 0.192388 loss: 1.383747 eta: 1 day, 13:20:18 batch_cost: 2.8385 data_cost: 0.0018 ips: 28.1844 images/s [10/15 13:58:09] ppdet.engine INFO: Epoch: [168] [140/366] learning_rate: 0.161737 loss_vfl: 0.896403 loss_bbox: 0.331574 loss_dfl: 0.198335 loss: 1.416328 eta: 1 day, 13:19:22 batch_cost: 2.7577 data_cost: 0.0023 ips: 29.0102 images/s [10/15 13:59:07] ppdet.engine INFO: Epoch: [168] [160/366] learning_rate: 0.161625 loss_vfl: 0.893582 loss_bbox: 0.297225 loss_dfl: 0.183293 loss: 1.381886 eta: 1 day, 13:18:26 batch_cost: 2.7726 data_cost: 0.0017 ips: 28.8541 images/s [10/15 14:00:06] ppdet.engine INFO: Epoch: [168] [180/366] learning_rate: 0.161512 loss_vfl: 0.890340 loss_bbox: 0.302747 loss_dfl: 0.191266 loss: 1.402198 eta: 1 day, 13:17:31 batch_cost: 2.8144 data_cost: 0.0016 ips: 28.4255 images/s [10/15 14:01:04] ppdet.engine INFO: Epoch: [168] [200/366] learning_rate: 0.161400 loss_vfl: 0.915742 loss_bbox: 0.310637 loss_dfl: 0.195871 loss: 1.403537 eta: 1 day, 13:16:34 batch_cost: 2.7536 data_cost: 0.0017 ips: 29.0529 images/s [10/15 14:02:03] ppdet.engine INFO: Epoch: [168] [220/366] learning_rate: 0.161288 loss_vfl: 0.885459 loss_bbox: 0.304979 loss_dfl: 0.192743 loss: 1.388602 eta: 1 day, 13:15:38 batch_cost: 2.7715 data_cost: 0.0029 ips: 28.8651 images/s [10/15 14:03:01] ppdet.engine INFO: Epoch: [168] [240/366] learning_rate: 0.161176 loss_vfl: 0.893138 loss_bbox: 0.327682 loss_dfl: 0.199662 loss: 1.433458 eta: 1 day, 13:14:42 batch_cost: 2.7699 data_cost: 0.0017 ips: 28.8821 images/s [10/15 14:03:58] ppdet.engine INFO: Epoch: [168] [260/366] learning_rate: 0.161063 loss_vfl: 0.882002 loss_bbox: 0.324400 loss_dfl: 0.199611 loss: 1.413340 eta: 1 day, 13:13:45 batch_cost: 2.6806 data_cost: 0.0018 ips: 29.8435 images/s [10/15 14:04:57] ppdet.engine INFO: Epoch: [168] [280/366] learning_rate: 0.160951 loss_vfl: 0.882592 loss_bbox: 0.312940 loss_dfl: 0.191979 loss: 1.380229 eta: 1 day, 13:12:49 batch_cost: 2.8052 data_cost: 0.0017 ips: 28.5185 images/s [10/15 14:05:56] ppdet.engine INFO: Epoch: [168] [300/366] learning_rate: 0.160839 loss_vfl: 0.905363 loss_bbox: 0.322321 loss_dfl: 0.202346 loss: 1.417447 eta: 1 day, 13:11:54 batch_cost: 2.8051 data_cost: 0.0023 ips: 28.5200 images/s [10/15 14:06:54] ppdet.engine INFO: Epoch: [168] [320/366] learning_rate: 0.160727 loss_vfl: 0.909486 loss_bbox: 0.313878 loss_dfl: 0.196165 loss: 1.416467 eta: 1 day, 13:10:57 batch_cost: 2.7527 data_cost: 0.0019 ips: 29.0622 images/s [10/15 14:07:53] ppdet.engine INFO: Epoch: [168] [340/366] learning_rate: 0.160614 loss_vfl: 0.902380 loss_bbox: 0.326291 loss_dfl: 0.200798 loss: 1.426764 eta: 1 day, 13:10:02 batch_cost: 2.7962 data_cost: 0.0023 ips: 28.6098 images/s [10/15 14:08:48] ppdet.engine INFO: Epoch: [168] [360/366] learning_rate: 0.160502 loss_vfl: 0.892159 loss_bbox: 0.305365 loss_dfl: 0.185437 loss: 1.385651 eta: 1 day, 13:09:03 batch_cost: 2.6138 data_cost: 0.0016 ips: 30.6064 images/s [10/15 14:09:29] ppdet.engine INFO: Epoch: [169] [ 0/366] learning_rate: 0.160469 loss_vfl: 0.888629 loss_bbox: 0.297210 loss_dfl: 0.185437 loss: 1.366871 eta: 1 day, 13:09:01 batch_cost: 3.5890 data_cost: 0.6699 ips: 22.2902 images/s [10/15 14:10:29] ppdet.engine INFO: Epoch: [169] [ 20/366] learning_rate: 0.160356 loss_vfl: 0.891843 loss_bbox: 0.322559 loss_dfl: 0.194459 loss: 1.420799 eta: 1 day, 13:08:06 batch_cost: 2.8244 data_cost: 0.0017 ips: 28.3244 images/s [10/15 14:11:28] ppdet.engine INFO: Epoch: [169] [ 40/366] learning_rate: 0.160244 loss_vfl: 0.885432 loss_bbox: 0.297059 loss_dfl: 0.190354 loss: 1.377583 eta: 1 day, 13:07:10 batch_cost: 2.7883 data_cost: 0.0016 ips: 28.6912 images/s [10/15 14:12:25] ppdet.engine INFO: Epoch: [169] [ 60/366] learning_rate: 0.160132 loss_vfl: 0.879885 loss_bbox: 0.314957 loss_dfl: 0.191993 loss: 1.377799 eta: 1 day, 13:06:13 batch_cost: 2.7162 data_cost: 0.0017 ips: 29.4531 images/s [10/15 14:13:23] ppdet.engine INFO: Epoch: [169] [ 80/366] learning_rate: 0.160020 loss_vfl: 0.886601 loss_bbox: 0.313662 loss_dfl: 0.194367 loss: 1.404127 eta: 1 day, 13:05:17 batch_cost: 2.7526 data_cost: 0.0016 ips: 29.0634 images/s [10/15 14:14:22] ppdet.engine INFO: Epoch: [169] [100/366] learning_rate: 0.159908 loss_vfl: 0.889376 loss_bbox: 0.320003 loss_dfl: 0.197584 loss: 1.401634 eta: 1 day, 13:04:21 batch_cost: 2.7955 data_cost: 0.0016 ips: 28.6173 images/s [10/15 14:15:22] ppdet.engine INFO: Epoch: [169] [120/366] learning_rate: 0.159796 loss_vfl: 0.892301 loss_bbox: 0.309447 loss_dfl: 0.192704 loss: 1.413469 eta: 1 day, 13:03:26 batch_cost: 2.8390 data_cost: 0.0016 ips: 28.1794 images/s [10/15 14:16:19] ppdet.engine INFO: Epoch: [169] [140/366] learning_rate: 0.159684 loss_vfl: 0.882440 loss_bbox: 0.321078 loss_dfl: 0.190422 loss: 1.387623 eta: 1 day, 13:02:29 batch_cost: 2.7293 data_cost: 0.0016 ips: 29.3111 images/s [10/15 14:17:17] ppdet.engine INFO: Epoch: [169] [160/366] learning_rate: 0.159571 loss_vfl: 0.913147 loss_bbox: 0.307687 loss_dfl: 0.193786 loss: 1.407243 eta: 1 day, 13:01:33 batch_cost: 2.7706 data_cost: 0.0017 ips: 28.8745 images/s [10/15 14:18:16] ppdet.engine INFO: Epoch: [169] [180/366] learning_rate: 0.159459 loss_vfl: 0.884844 loss_bbox: 0.308950 loss_dfl: 0.188806 loss: 1.386230 eta: 1 day, 13:00:38 batch_cost: 2.7997 data_cost: 0.0017 ips: 28.5741 images/s [10/15 14:19:14] ppdet.engine INFO: Epoch: [169] [200/366] learning_rate: 0.159347 loss_vfl: 0.892648 loss_bbox: 0.316381 loss_dfl: 0.193821 loss: 1.401235 eta: 1 day, 12:59:41 batch_cost: 2.7565 data_cost: 0.0017 ips: 29.0218 images/s [10/15 14:20:13] ppdet.engine INFO: Epoch: [169] [220/366] learning_rate: 0.159235 loss_vfl: 0.896164 loss_bbox: 0.318598 loss_dfl: 0.202739 loss: 1.413350 eta: 1 day, 12:58:45 batch_cost: 2.7582 data_cost: 0.0017 ips: 29.0045 images/s [10/15 14:21:10] ppdet.engine INFO: Epoch: [169] [240/366] learning_rate: 0.159123 loss_vfl: 0.899277 loss_bbox: 0.312396 loss_dfl: 0.201813 loss: 1.402903 eta: 1 day, 12:57:49 batch_cost: 2.7504 data_cost: 0.0016 ips: 29.0865 images/s [10/15 14:22:10] ppdet.engine INFO: Epoch: [169] [260/366] learning_rate: 0.159011 loss_vfl: 0.875578 loss_bbox: 0.307282 loss_dfl: 0.186651 loss: 1.374894 eta: 1 day, 12:56:53 batch_cost: 2.8175 data_cost: 0.0017 ips: 28.3942 images/s [10/15 14:23:10] ppdet.engine INFO: Epoch: [169] [280/366] learning_rate: 0.158899 loss_vfl: 0.889731 loss_bbox: 0.330562 loss_dfl: 0.201465 loss: 1.426215 eta: 1 day, 12:55:59 batch_cost: 2.8455 data_cost: 0.0016 ips: 28.1144 images/s [10/15 14:24:08] ppdet.engine INFO: Epoch: [169] [300/366] learning_rate: 0.158787 loss_vfl: 0.891488 loss_bbox: 0.317961 loss_dfl: 0.197931 loss: 1.420670 eta: 1 day, 12:55:02 batch_cost: 2.7647 data_cost: 0.0017 ips: 28.9363 images/s [10/15 14:25:08] ppdet.engine INFO: Epoch: [169] [320/366] learning_rate: 0.158675 loss_vfl: 0.899935 loss_bbox: 0.296545 loss_dfl: 0.188074 loss: 1.389038 eta: 1 day, 12:54:07 batch_cost: 2.8239 data_cost: 0.0017 ips: 28.3293 images/s [10/15 14:26:07] ppdet.engine INFO: Epoch: [169] [340/366] learning_rate: 0.158563 loss_vfl: 0.912994 loss_bbox: 0.324487 loss_dfl: 0.205949 loss: 1.442549 eta: 1 day, 12:53:12 batch_cost: 2.8178 data_cost: 0.0018 ips: 28.3909 images/s [10/15 14:27:02] ppdet.engine INFO: Epoch: [169] [360/366] learning_rate: 0.158451 loss_vfl: 0.893002 loss_bbox: 0.316151 loss_dfl: 0.196043 loss: 1.406770 eta: 1 day, 12:52:12 batch_cost: 2.5597 data_cost: 0.0017 ips: 31.2532 images/s [10/15 14:27:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 14:27:19] ppdet.engine INFO: Eval iter: 0 [10/15 14:28:00] ppdet.engine INFO: Eval iter: 100 [10/15 14:28:23] ppdet.engine INFO: Eval iter: 200 [10/15 14:28:45] ppdet.engine INFO: Eval iter: 300 [10/15 14:29:07] ppdet.engine INFO: Eval iter: 400 [10/15 14:29:30] ppdet.engine INFO: Eval iter: 500 [10/15 14:29:53] ppdet.engine INFO: Eval iter: 600 [10/15 14:30:14] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/15 14:30:15] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.63s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.35s). Accumulating evaluation results... DONE (t=17.11s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.292 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.437 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.302 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.268 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 ] = 0.453 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.190 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.498 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.695 [10/15 14:32:18] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.950345909245627 [10/15 14:32:18] ppdet.engine INFO: Best test bbox ap is 0.293. [10/15 14:32:20] ppdet.engine INFO: Epoch: [170] [ 0/366] learning_rate: 0.158418 loss_vfl: 0.902418 loss_bbox: 0.316151 loss_dfl: 0.196043 loss: 1.438166 eta: 1 day, 12:51:54 batch_cost: 2.4449 data_cost: 0.0017 ips: 32.7214 images/s [10/15 14:33:21] ppdet.engine INFO: Epoch: [170] [ 20/366] learning_rate: 0.158306 loss_vfl: 0.875934 loss_bbox: 0.311103 loss_dfl: 0.192737 loss: 1.401153 eta: 1 day, 12:50:59 batch_cost: 2.8684 data_cost: 0.0018 ips: 27.8900 images/s [10/15 14:34:20] ppdet.engine INFO: Epoch: [170] [ 40/366] learning_rate: 0.158194 loss_vfl: 0.904240 loss_bbox: 0.303090 loss_dfl: 0.190905 loss: 1.380567 eta: 1 day, 12:50:04 batch_cost: 2.8387 data_cost: 0.0017 ips: 28.1816 images/s [10/15 14:35:20] ppdet.engine INFO: Epoch: [170] [ 60/366] learning_rate: 0.158082 loss_vfl: 0.882113 loss_bbox: 0.309014 loss_dfl: 0.191511 loss: 1.371919 eta: 1 day, 12:49:09 batch_cost: 2.8533 data_cost: 0.0017 ips: 28.0380 images/s [10/15 14:36:22] ppdet.engine INFO: Epoch: [170] [ 80/366] learning_rate: 0.157970 loss_vfl: 0.883207 loss_bbox: 0.315916 loss_dfl: 0.197391 loss: 1.405574 eta: 1 day, 12:48:16 batch_cost: 2.9344 data_cost: 0.0017 ips: 27.2630 images/s [10/15 14:37:22] ppdet.engine INFO: Epoch: [170] [100/366] learning_rate: 0.157858 loss_vfl: 0.878582 loss_bbox: 0.330844 loss_dfl: 0.196930 loss: 1.428170 eta: 1 day, 12:47:21 batch_cost: 2.8348 data_cost: 0.0016 ips: 28.2206 images/s [10/15 14:38:21] ppdet.engine INFO: Epoch: [170] [120/366] learning_rate: 0.157746 loss_vfl: 0.897335 loss_bbox: 0.311511 loss_dfl: 0.194309 loss: 1.393991 eta: 1 day, 12:46:25 batch_cost: 2.8102 data_cost: 0.0017 ips: 28.4675 images/s [10/15 14:39:18] ppdet.engine INFO: Epoch: [170] [140/366] learning_rate: 0.157634 loss_vfl: 0.883184 loss_bbox: 0.302155 loss_dfl: 0.190934 loss: 1.396132 eta: 1 day, 12:45:28 batch_cost: 2.7084 data_cost: 0.0018 ips: 29.5381 images/s [10/15 14:40:15] ppdet.engine INFO: Epoch: [170] [160/366] learning_rate: 0.157523 loss_vfl: 0.871382 loss_bbox: 0.321688 loss_dfl: 0.195642 loss: 1.408830 eta: 1 day, 12:44:31 batch_cost: 2.6878 data_cost: 0.0017 ips: 29.7641 images/s [10/15 14:41:13] ppdet.engine INFO: Epoch: [170] [180/366] learning_rate: 0.157411 loss_vfl: 0.889134 loss_bbox: 0.307013 loss_dfl: 0.195273 loss: 1.398074 eta: 1 day, 12:43:35 batch_cost: 2.7628 data_cost: 0.0016 ips: 28.9557 images/s [10/15 14:42:11] ppdet.engine INFO: Epoch: [170] [200/366] learning_rate: 0.157299 loss_vfl: 0.892879 loss_bbox: 0.315088 loss_dfl: 0.194424 loss: 1.418455 eta: 1 day, 12:42:39 batch_cost: 2.7882 data_cost: 0.0016 ips: 28.6919 images/s [10/15 14:43:09] ppdet.engine INFO: Epoch: [170] [220/366] learning_rate: 0.157187 loss_vfl: 0.889474 loss_bbox: 0.320943 loss_dfl: 0.198967 loss: 1.394111 eta: 1 day, 12:41:42 batch_cost: 2.7317 data_cost: 0.0017 ips: 29.2857 images/s [10/15 14:44:07] ppdet.engine INFO: Epoch: [170] [240/366] learning_rate: 0.157075 loss_vfl: 0.887766 loss_bbox: 0.315511 loss_dfl: 0.198735 loss: 1.390204 eta: 1 day, 12:40:46 batch_cost: 2.7656 data_cost: 0.0023 ips: 28.9264 images/s [10/15 14:45:04] ppdet.engine INFO: Epoch: [170] [260/366] learning_rate: 0.156964 loss_vfl: 0.889191 loss_bbox: 0.310683 loss_dfl: 0.197451 loss: 1.401357 eta: 1 day, 12:39:49 batch_cost: 2.7094 data_cost: 0.0016 ips: 29.5265 images/s [10/15 14:46:01] ppdet.engine INFO: Epoch: [170] [280/366] learning_rate: 0.156852 loss_vfl: 0.892559 loss_bbox: 0.308866 loss_dfl: 0.198595 loss: 1.412063 eta: 1 day, 12:38:52 batch_cost: 2.6904 data_cost: 0.0016 ips: 29.7349 images/s [10/15 14:46:58] ppdet.engine INFO: Epoch: [170] [300/366] learning_rate: 0.156740 loss_vfl: 0.894921 loss_bbox: 0.317859 loss_dfl: 0.193732 loss: 1.426854 eta: 1 day, 12:37:55 batch_cost: 2.7166 data_cost: 0.0016 ips: 29.4483 images/s [10/15 14:47:57] ppdet.engine INFO: Epoch: [170] [320/366] learning_rate: 0.156628 loss_vfl: 0.901689 loss_bbox: 0.307580 loss_dfl: 0.186607 loss: 1.391847 eta: 1 day, 12:36:59 batch_cost: 2.7722 data_cost: 0.0016 ips: 28.8583 images/s [10/15 14:48:53] ppdet.engine INFO: Epoch: [170] [340/366] learning_rate: 0.156517 loss_vfl: 0.894725 loss_bbox: 0.315724 loss_dfl: 0.194752 loss: 1.394916 eta: 1 day, 12:36:01 batch_cost: 2.6693 data_cost: 0.0016 ips: 29.9708 images/s [10/15 14:49:45] ppdet.engine INFO: Epoch: [170] [360/366] learning_rate: 0.156405 loss_vfl: 0.891993 loss_bbox: 0.328258 loss_dfl: 0.207211 loss: 1.431546 eta: 1 day, 12:35:01 batch_cost: 2.4614 data_cost: 0.0022 ips: 32.5015 images/s [10/15 14:50:25] ppdet.engine INFO: Epoch: [171] [ 0/366] learning_rate: 0.156371 loss_vfl: 0.897706 loss_bbox: 0.313425 loss_dfl: 0.195934 loss: 1.410535 eta: 1 day, 12:34:58 batch_cost: 3.4423 data_cost: 0.7096 ips: 23.2401 images/s [10/15 14:51:26] ppdet.engine INFO: Epoch: [171] [ 20/366] learning_rate: 0.156260 loss_vfl: 0.894126 loss_bbox: 0.318059 loss_dfl: 0.190103 loss: 1.388976 eta: 1 day, 12:34:03 batch_cost: 2.8652 data_cost: 0.0018 ips: 27.9212 images/s [10/15 14:52:25] ppdet.engine INFO: Epoch: [171] [ 40/366] learning_rate: 0.156148 loss_vfl: 0.882085 loss_bbox: 0.332992 loss_dfl: 0.199887 loss: 1.420270 eta: 1 day, 12:33:08 batch_cost: 2.8194 data_cost: 0.0017 ips: 28.3748 images/s [10/15 14:53:23] ppdet.engine INFO: Epoch: [171] [ 60/366] learning_rate: 0.156036 loss_vfl: 0.878387 loss_bbox: 0.310207 loss_dfl: 0.195700 loss: 1.376249 eta: 1 day, 12:32:12 batch_cost: 2.7408 data_cost: 0.0017 ips: 29.1887 images/s [10/15 14:54:21] ppdet.engine INFO: Epoch: [171] [ 80/366] learning_rate: 0.155925 loss_vfl: 0.883556 loss_bbox: 0.322176 loss_dfl: 0.192689 loss: 1.400249 eta: 1 day, 12:31:15 batch_cost: 2.7276 data_cost: 0.0019 ips: 29.3295 images/s [10/15 14:55:19] ppdet.engine INFO: Epoch: [171] [100/366] learning_rate: 0.155813 loss_vfl: 0.886737 loss_bbox: 0.321577 loss_dfl: 0.195577 loss: 1.405140 eta: 1 day, 12:30:19 batch_cost: 2.7721 data_cost: 0.0017 ips: 28.8586 images/s [10/15 14:56:17] ppdet.engine INFO: Epoch: [171] [120/366] learning_rate: 0.155701 loss_vfl: 0.901455 loss_bbox: 0.301974 loss_dfl: 0.187477 loss: 1.405601 eta: 1 day, 12:29:22 batch_cost: 2.7255 data_cost: 0.0016 ips: 29.3529 images/s [10/15 14:57:15] ppdet.engine INFO: Epoch: [171] [140/366] learning_rate: 0.155590 loss_vfl: 0.886914 loss_bbox: 0.307587 loss_dfl: 0.197236 loss: 1.394634 eta: 1 day, 12:28:26 batch_cost: 2.7637 data_cost: 0.0022 ips: 28.9463 images/s [10/15 14:58:13] ppdet.engine INFO: Epoch: [171] [160/366] learning_rate: 0.155478 loss_vfl: 0.896156 loss_bbox: 0.319825 loss_dfl: 0.190832 loss: 1.382627 eta: 1 day, 12:27:30 batch_cost: 2.7705 data_cost: 0.0017 ips: 28.8757 images/s [10/15 14:59:11] ppdet.engine INFO: Epoch: [171] [180/366] learning_rate: 0.155367 loss_vfl: 0.870437 loss_bbox: 0.316859 loss_dfl: 0.199144 loss: 1.395958 eta: 1 day, 12:26:33 batch_cost: 2.7241 data_cost: 0.0016 ips: 29.3679 images/s [10/15 15:00:09] ppdet.engine INFO: Epoch: [171] [200/366] learning_rate: 0.155255 loss_vfl: 0.898594 loss_bbox: 0.316700 loss_dfl: 0.190613 loss: 1.385916 eta: 1 day, 12:25:37 batch_cost: 2.7539 data_cost: 0.0017 ips: 29.0497 images/s [10/15 15:01:07] ppdet.engine INFO: Epoch: [171] [220/366] learning_rate: 0.155144 loss_vfl: 0.883275 loss_bbox: 0.306588 loss_dfl: 0.189306 loss: 1.383451 eta: 1 day, 12:24:40 batch_cost: 2.7606 data_cost: 0.0016 ips: 28.9793 images/s [10/15 15:02:04] ppdet.engine INFO: Epoch: [171] [240/366] learning_rate: 0.155032 loss_vfl: 0.882040 loss_bbox: 0.328095 loss_dfl: 0.193439 loss: 1.398243 eta: 1 day, 12:23:44 batch_cost: 2.7160 data_cost: 0.0016 ips: 29.4554 images/s [10/15 15:03:01] ppdet.engine INFO: Epoch: [171] [260/366] learning_rate: 0.154921 loss_vfl: 0.893066 loss_bbox: 0.308307 loss_dfl: 0.189936 loss: 1.393710 eta: 1 day, 12:22:47 batch_cost: 2.7025 data_cost: 0.0017 ips: 29.6023 images/s [10/15 15:03:59] ppdet.engine INFO: Epoch: [171] [280/366] learning_rate: 0.154809 loss_vfl: 0.893190 loss_bbox: 0.318509 loss_dfl: 0.196420 loss: 1.420608 eta: 1 day, 12:21:50 batch_cost: 2.7440 data_cost: 0.0016 ips: 29.1540 images/s [10/15 15:04:57] ppdet.engine INFO: Epoch: [171] [300/366] learning_rate: 0.154698 loss_vfl: 0.898061 loss_bbox: 0.289733 loss_dfl: 0.186907 loss: 1.387721 eta: 1 day, 12:20:54 batch_cost: 2.7670 data_cost: 0.0016 ips: 28.9125 images/s [10/15 15:05:55] ppdet.engine INFO: Epoch: [171] [320/366] learning_rate: 0.154586 loss_vfl: 0.897826 loss_bbox: 0.304195 loss_dfl: 0.191699 loss: 1.397027 eta: 1 day, 12:19:58 batch_cost: 2.7537 data_cost: 0.0017 ips: 29.0517 images/s [10/15 15:06:54] ppdet.engine INFO: Epoch: [171] [340/366] learning_rate: 0.154475 loss_vfl: 0.878192 loss_bbox: 0.328680 loss_dfl: 0.199825 loss: 1.410606 eta: 1 day, 12:19:01 batch_cost: 2.7648 data_cost: 0.0016 ips: 28.9353 images/s [10/15 15:07:46] ppdet.engine INFO: Epoch: [171] [360/366] learning_rate: 0.154363 loss_vfl: 0.888878 loss_bbox: 0.320651 loss_dfl: 0.193942 loss: 1.415708 eta: 1 day, 12:18:01 batch_cost: 2.4555 data_cost: 0.0016 ips: 32.5801 images/s [10/15 15:08:25] ppdet.engine INFO: Epoch: [172] [ 0/366] learning_rate: 0.154330 loss_vfl: 0.881866 loss_bbox: 0.303788 loss_dfl: 0.190289 loss: 1.383058 eta: 1 day, 12:17:57 batch_cost: 3.3578 data_cost: 0.6554 ips: 23.8249 images/s [10/15 15:09:25] ppdet.engine INFO: Epoch: [172] [ 20/366] learning_rate: 0.154218 loss_vfl: 0.886039 loss_bbox: 0.323112 loss_dfl: 0.195815 loss: 1.394728 eta: 1 day, 12:17:02 batch_cost: 2.8417 data_cost: 0.0020 ips: 28.1523 images/s [10/15 15:10:25] ppdet.engine INFO: Epoch: [172] [ 40/366] learning_rate: 0.154107 loss_vfl: 0.899686 loss_bbox: 0.311410 loss_dfl: 0.196059 loss: 1.405675 eta: 1 day, 12:16:08 batch_cost: 2.8832 data_cost: 0.0036 ips: 27.7474 images/s [10/15 15:11:25] ppdet.engine INFO: Epoch: [172] [ 60/366] learning_rate: 0.153996 loss_vfl: 0.873051 loss_bbox: 0.309475 loss_dfl: 0.193836 loss: 1.389802 eta: 1 day, 12:15:12 batch_cost: 2.8233 data_cost: 0.0017 ips: 28.3358 images/s [10/15 15:12:22] ppdet.engine INFO: Epoch: [172] [ 80/366] learning_rate: 0.153884 loss_vfl: 0.885925 loss_bbox: 0.311921 loss_dfl: 0.196422 loss: 1.408385 eta: 1 day, 12:14:16 batch_cost: 2.7195 data_cost: 0.0016 ips: 29.4168 images/s [10/15 15:13:19] ppdet.engine INFO: Epoch: [172] [100/366] learning_rate: 0.153773 loss_vfl: 0.874039 loss_bbox: 0.316162 loss_dfl: 0.200288 loss: 1.382898 eta: 1 day, 12:13:18 batch_cost: 2.6855 data_cost: 0.0016 ips: 29.7898 images/s [10/15 15:14:18] ppdet.engine INFO: Epoch: [172] [120/366] learning_rate: 0.153662 loss_vfl: 0.882867 loss_bbox: 0.310702 loss_dfl: 0.189938 loss: 1.402335 eta: 1 day, 12:12:23 batch_cost: 2.8048 data_cost: 0.0016 ips: 28.5228 images/s [10/15 15:15:15] ppdet.engine INFO: Epoch: [172] [140/366] learning_rate: 0.153550 loss_vfl: 0.879164 loss_bbox: 0.302688 loss_dfl: 0.187824 loss: 1.384967 eta: 1 day, 12:11:26 batch_cost: 2.7023 data_cost: 0.0016 ips: 29.6048 images/s [10/15 15:16:12] ppdet.engine INFO: Epoch: [172] [160/366] learning_rate: 0.153439 loss_vfl: 0.890068 loss_bbox: 0.304079 loss_dfl: 0.193862 loss: 1.393533 eta: 1 day, 12:10:29 batch_cost: 2.7278 data_cost: 0.0017 ips: 29.3280 images/s [10/15 15:17:12] ppdet.engine INFO: Epoch: [172] [180/366] learning_rate: 0.153328 loss_vfl: 0.886843 loss_bbox: 0.301906 loss_dfl: 0.187179 loss: 1.366325 eta: 1 day, 12:09:34 batch_cost: 2.8265 data_cost: 0.0017 ips: 28.3035 images/s [10/15 15:18:11] ppdet.engine INFO: Epoch: [172] [200/366] learning_rate: 0.153216 loss_vfl: 0.875661 loss_bbox: 0.323883 loss_dfl: 0.194666 loss: 1.391976 eta: 1 day, 12:08:38 batch_cost: 2.7996 data_cost: 0.0028 ips: 28.5759 images/s [10/15 15:19:09] ppdet.engine INFO: Epoch: [172] [220/366] learning_rate: 0.153105 loss_vfl: 0.882672 loss_bbox: 0.310263 loss_dfl: 0.190472 loss: 1.385204 eta: 1 day, 12:07:42 batch_cost: 2.7806 data_cost: 0.0017 ips: 28.7703 images/s [10/15 15:20:08] ppdet.engine INFO: Epoch: [172] [240/366] learning_rate: 0.152994 loss_vfl: 0.899591 loss_bbox: 0.315359 loss_dfl: 0.193482 loss: 1.403870 eta: 1 day, 12:06:47 batch_cost: 2.7994 data_cost: 0.0016 ips: 28.5778 images/s [10/15 15:21:05] ppdet.engine INFO: Epoch: [172] [260/366] learning_rate: 0.152883 loss_vfl: 0.884336 loss_bbox: 0.310841 loss_dfl: 0.191903 loss: 1.397164 eta: 1 day, 12:05:50 batch_cost: 2.7125 data_cost: 0.0016 ips: 29.4934 images/s [10/15 15:22:03] ppdet.engine INFO: Epoch: [172] [280/366] learning_rate: 0.152771 loss_vfl: 0.897199 loss_bbox: 0.314973 loss_dfl: 0.196724 loss: 1.402584 eta: 1 day, 12:04:53 batch_cost: 2.7074 data_cost: 0.0017 ips: 29.5484 images/s [10/15 15:22:58] ppdet.engine INFO: Epoch: [172] [300/366] learning_rate: 0.152660 loss_vfl: 0.887797 loss_bbox: 0.310783 loss_dfl: 0.197482 loss: 1.405403 eta: 1 day, 12:03:55 batch_cost: 2.6377 data_cost: 0.0017 ips: 30.3298 images/s [10/15 15:23:55] ppdet.engine INFO: Epoch: [172] [320/366] learning_rate: 0.152549 loss_vfl: 0.889823 loss_bbox: 0.320448 loss_dfl: 0.196390 loss: 1.409561 eta: 1 day, 12:02:57 batch_cost: 2.6700 data_cost: 0.0022 ips: 29.9624 images/s [10/15 15:24:53] ppdet.engine INFO: Epoch: [172] [340/366] learning_rate: 0.152438 loss_vfl: 0.869029 loss_bbox: 0.320158 loss_dfl: 0.195861 loss: 1.391800 eta: 1 day, 12:02:01 batch_cost: 2.7566 data_cost: 0.0017 ips: 29.0210 images/s [10/15 15:25:47] ppdet.engine INFO: Epoch: [172] [360/366] learning_rate: 0.152327 loss_vfl: 0.894599 loss_bbox: 0.304972 loss_dfl: 0.193187 loss: 1.416074 eta: 1 day, 12:01:02 batch_cost: 2.5760 data_cost: 0.0016 ips: 31.0554 images/s [10/15 15:26:26] ppdet.engine INFO: Epoch: [173] [ 0/366] learning_rate: 0.152293 loss_vfl: 0.886680 loss_bbox: 0.291033 loss_dfl: 0.185977 loss: 1.379875 eta: 1 day, 12:00:58 batch_cost: 3.4504 data_cost: 0.4529 ips: 23.1859 images/s [10/15 15:27:25] ppdet.engine INFO: Epoch: [173] [ 20/366] learning_rate: 0.152182 loss_vfl: 0.893031 loss_bbox: 0.325554 loss_dfl: 0.199922 loss: 1.434413 eta: 1 day, 12:00:02 batch_cost: 2.7684 data_cost: 0.0018 ips: 28.8972 images/s [10/15 15:28:24] ppdet.engine INFO: Epoch: [173] [ 40/366] learning_rate: 0.152071 loss_vfl: 0.884995 loss_bbox: 0.308999 loss_dfl: 0.193304 loss: 1.383679 eta: 1 day, 11:59:06 batch_cost: 2.7957 data_cost: 0.0017 ips: 28.6158 images/s [10/15 15:29:21] ppdet.engine INFO: Epoch: [173] [ 60/366] learning_rate: 0.151960 loss_vfl: 0.886524 loss_bbox: 0.307821 loss_dfl: 0.194126 loss: 1.379680 eta: 1 day, 11:58:09 batch_cost: 2.7213 data_cost: 0.0016 ips: 29.3977 images/s [10/15 15:30:19] ppdet.engine INFO: Epoch: [173] [ 80/366] learning_rate: 0.151849 loss_vfl: 0.884572 loss_bbox: 0.298266 loss_dfl: 0.193141 loss: 1.380883 eta: 1 day, 11:57:13 batch_cost: 2.7241 data_cost: 0.0016 ips: 29.3675 images/s [10/15 15:31:16] ppdet.engine INFO: Epoch: [173] [100/366] learning_rate: 0.151738 loss_vfl: 0.881013 loss_bbox: 0.320826 loss_dfl: 0.199698 loss: 1.412649 eta: 1 day, 11:56:16 batch_cost: 2.7196 data_cost: 0.0016 ips: 29.4161 images/s [10/15 15:32:15] ppdet.engine INFO: Epoch: [173] [120/366] learning_rate: 0.151627 loss_vfl: 0.900800 loss_bbox: 0.305023 loss_dfl: 0.189017 loss: 1.401334 eta: 1 day, 11:55:20 batch_cost: 2.7965 data_cost: 0.0024 ips: 28.6068 images/s [10/15 15:33:13] ppdet.engine INFO: Epoch: [173] [140/366] learning_rate: 0.151516 loss_vfl: 0.891279 loss_bbox: 0.296193 loss_dfl: 0.187296 loss: 1.384941 eta: 1 day, 11:54:24 batch_cost: 2.7739 data_cost: 0.0017 ips: 28.8398 images/s [10/15 15:34:11] ppdet.engine INFO: Epoch: [173] [160/366] learning_rate: 0.151405 loss_vfl: 0.881920 loss_bbox: 0.309769 loss_dfl: 0.190481 loss: 1.387995 eta: 1 day, 11:53:28 batch_cost: 2.7457 data_cost: 0.0017 ips: 29.1367 images/s [10/15 15:35:10] ppdet.engine INFO: Epoch: [173] [180/366] learning_rate: 0.151294 loss_vfl: 0.878088 loss_bbox: 0.309570 loss_dfl: 0.194998 loss: 1.374129 eta: 1 day, 11:52:31 batch_cost: 2.7585 data_cost: 0.0022 ips: 29.0014 images/s [10/15 15:36:08] ppdet.engine INFO: Epoch: [173] [200/366] learning_rate: 0.151183 loss_vfl: 0.891042 loss_bbox: 0.312892 loss_dfl: 0.197384 loss: 1.411560 eta: 1 day, 11:51:35 batch_cost: 2.7526 data_cost: 0.0017 ips: 29.0630 images/s [10/15 15:37:05] ppdet.engine INFO: Epoch: [173] [220/366] learning_rate: 0.151072 loss_vfl: 0.882881 loss_bbox: 0.320149 loss_dfl: 0.199553 loss: 1.403448 eta: 1 day, 11:50:38 batch_cost: 2.7180 data_cost: 0.0016 ips: 29.4335 images/s [10/15 15:38:04] ppdet.engine INFO: Epoch: [173] [240/366] learning_rate: 0.150961 loss_vfl: 0.884120 loss_bbox: 0.314258 loss_dfl: 0.197992 loss: 1.409384 eta: 1 day, 11:49:43 batch_cost: 2.7923 data_cost: 0.0017 ips: 28.6501 images/s [10/15 15:39:02] ppdet.engine INFO: Epoch: [173] [260/366] learning_rate: 0.150850 loss_vfl: 0.886484 loss_bbox: 0.313546 loss_dfl: 0.189966 loss: 1.385682 eta: 1 day, 11:48:46 batch_cost: 2.7550 data_cost: 0.0017 ips: 29.0386 images/s [10/15 15:39:59] ppdet.engine INFO: Epoch: [173] [280/366] learning_rate: 0.150739 loss_vfl: 0.908032 loss_bbox: 0.323381 loss_dfl: 0.198799 loss: 1.405971 eta: 1 day, 11:47:49 batch_cost: 2.6991 data_cost: 0.0016 ips: 29.6390 images/s [10/15 15:40:56] ppdet.engine INFO: Epoch: [173] [300/366] learning_rate: 0.150628 loss_vfl: 0.890095 loss_bbox: 0.307124 loss_dfl: 0.192300 loss: 1.392267 eta: 1 day, 11:46:52 batch_cost: 2.7170 data_cost: 0.0016 ips: 29.4444 images/s [10/15 15:41:54] ppdet.engine INFO: Epoch: [173] [320/366] learning_rate: 0.150517 loss_vfl: 0.873464 loss_bbox: 0.313783 loss_dfl: 0.194205 loss: 1.401851 eta: 1 day, 11:45:56 batch_cost: 2.7659 data_cost: 0.0016 ips: 28.9232 images/s [10/15 15:42:52] ppdet.engine INFO: Epoch: [173] [340/366] learning_rate: 0.150406 loss_vfl: 0.900034 loss_bbox: 0.315130 loss_dfl: 0.198667 loss: 1.410057 eta: 1 day, 11:45:00 batch_cost: 2.7346 data_cost: 0.0016 ips: 29.2546 images/s [10/15 15:43:46] ppdet.engine INFO: Epoch: [173] [360/366] learning_rate: 0.150295 loss_vfl: 0.901250 loss_bbox: 0.325387 loss_dfl: 0.199359 loss: 1.417656 eta: 1 day, 11:44:00 batch_cost: 2.5523 data_cost: 0.0016 ips: 31.3444 images/s [10/15 15:44:26] ppdet.engine INFO: Epoch: [174] [ 0/366] learning_rate: 0.150262 loss_vfl: 0.901880 loss_bbox: 0.323175 loss_dfl: 0.198996 loss: 1.417641 eta: 1 day, 11:43:57 batch_cost: 3.4961 data_cost: 0.4099 ips: 22.8827 images/s [10/15 15:45:25] ppdet.engine INFO: Epoch: [174] [ 20/366] learning_rate: 0.150151 loss_vfl: 0.896097 loss_bbox: 0.300546 loss_dfl: 0.192816 loss: 1.388990 eta: 1 day, 11:43:01 batch_cost: 2.7692 data_cost: 0.0019 ips: 28.8893 images/s [10/15 15:46:25] ppdet.engine INFO: Epoch: [174] [ 40/366] learning_rate: 0.150040 loss_vfl: 0.882514 loss_bbox: 0.306862 loss_dfl: 0.189689 loss: 1.379383 eta: 1 day, 11:42:06 batch_cost: 2.8541 data_cost: 0.0020 ips: 28.0301 images/s [10/15 15:47:22] ppdet.engine INFO: Epoch: [174] [ 60/366] learning_rate: 0.149930 loss_vfl: 0.880028 loss_bbox: 0.300539 loss_dfl: 0.189260 loss: 1.366702 eta: 1 day, 11:41:09 batch_cost: 2.7268 data_cost: 0.0018 ips: 29.3389 images/s [10/15 15:48:21] ppdet.engine INFO: Epoch: [174] [ 80/366] learning_rate: 0.149819 loss_vfl: 0.893912 loss_bbox: 0.302961 loss_dfl: 0.192872 loss: 1.396900 eta: 1 day, 11:40:13 batch_cost: 2.7576 data_cost: 0.0045 ips: 29.0104 images/s [10/15 15:49:18] ppdet.engine INFO: Epoch: [174] [100/366] learning_rate: 0.149708 loss_vfl: 0.882328 loss_bbox: 0.303223 loss_dfl: 0.187294 loss: 1.376361 eta: 1 day, 11:39:16 batch_cost: 2.6991 data_cost: 0.0016 ips: 29.6394 images/s [10/15 15:50:15] ppdet.engine INFO: Epoch: [174] [120/366] learning_rate: 0.149597 loss_vfl: 0.881379 loss_bbox: 0.320489 loss_dfl: 0.192889 loss: 1.389517 eta: 1 day, 11:38:19 batch_cost: 2.6949 data_cost: 0.0016 ips: 29.6859 images/s [10/15 15:51:11] ppdet.engine INFO: Epoch: [174] [140/366] learning_rate: 0.149486 loss_vfl: 0.873518 loss_bbox: 0.317652 loss_dfl: 0.192481 loss: 1.384361 eta: 1 day, 11:37:22 batch_cost: 2.6800 data_cost: 0.0016 ips: 29.8510 images/s [10/15 15:52:09] ppdet.engine INFO: Epoch: [174] [160/366] learning_rate: 0.149376 loss_vfl: 0.878168 loss_bbox: 0.298557 loss_dfl: 0.189181 loss: 1.366208 eta: 1 day, 11:36:25 batch_cost: 2.7428 data_cost: 0.0023 ips: 29.1672 images/s [10/15 15:53:07] ppdet.engine INFO: Epoch: [174] [180/366] learning_rate: 0.149265 loss_vfl: 0.892065 loss_bbox: 0.292568 loss_dfl: 0.184229 loss: 1.377155 eta: 1 day, 11:35:29 batch_cost: 2.7306 data_cost: 0.0022 ips: 29.2979 images/s [10/15 15:54:05] ppdet.engine INFO: Epoch: [174] [200/366] learning_rate: 0.149154 loss_vfl: 0.880225 loss_bbox: 0.313371 loss_dfl: 0.196430 loss: 1.393552 eta: 1 day, 11:34:33 batch_cost: 2.7764 data_cost: 0.0018 ips: 28.8146 images/s [10/15 15:55:02] ppdet.engine INFO: Epoch: [174] [220/366] learning_rate: 0.149044 loss_vfl: 0.880802 loss_bbox: 0.341399 loss_dfl: 0.203762 loss: 1.421589 eta: 1 day, 11:33:35 batch_cost: 2.6928 data_cost: 0.0017 ips: 29.7084 images/s [10/15 15:55:59] ppdet.engine INFO: Epoch: [174] [240/366] learning_rate: 0.148933 loss_vfl: 0.893776 loss_bbox: 0.313767 loss_dfl: 0.197557 loss: 1.411897 eta: 1 day, 11:32:38 batch_cost: 2.7074 data_cost: 0.0016 ips: 29.5482 images/s [10/15 15:56:58] ppdet.engine INFO: Epoch: [174] [260/366] learning_rate: 0.148822 loss_vfl: 0.874054 loss_bbox: 0.316375 loss_dfl: 0.198353 loss: 1.396849 eta: 1 day, 11:31:42 batch_cost: 2.7690 data_cost: 0.0017 ips: 28.8915 images/s [10/15 15:57:58] ppdet.engine INFO: Epoch: [174] [280/366] learning_rate: 0.148712 loss_vfl: 0.890276 loss_bbox: 0.308567 loss_dfl: 0.189557 loss: 1.401223 eta: 1 day, 11:30:47 batch_cost: 2.8507 data_cost: 0.0023 ips: 28.0637 images/s [10/15 15:58:57] ppdet.engine INFO: Epoch: [174] [300/366] learning_rate: 0.148601 loss_vfl: 0.880775 loss_bbox: 0.298379 loss_dfl: 0.185833 loss: 1.371638 eta: 1 day, 11:29:52 batch_cost: 2.8069 data_cost: 0.0018 ips: 28.5013 images/s [10/15 15:59:54] ppdet.engine INFO: Epoch: [174] [320/366] learning_rate: 0.148490 loss_vfl: 0.885459 loss_bbox: 0.315231 loss_dfl: 0.197517 loss: 1.408207 eta: 1 day, 11:28:55 batch_cost: 2.7077 data_cost: 0.0022 ips: 29.5455 images/s [10/15 16:00:52] ppdet.engine INFO: Epoch: [174] [340/366] learning_rate: 0.148380 loss_vfl: 0.886342 loss_bbox: 0.315741 loss_dfl: 0.202576 loss: 1.414747 eta: 1 day, 11:27:59 batch_cost: 2.7680 data_cost: 0.0017 ips: 28.9019 images/s [10/15 16:01:45] ppdet.engine INFO: Epoch: [174] [360/366] learning_rate: 0.148269 loss_vfl: 0.890336 loss_bbox: 0.304012 loss_dfl: 0.193084 loss: 1.392619 eta: 1 day, 11:26:59 batch_cost: 2.4730 data_cost: 0.0016 ips: 32.3497 images/s [10/15 16:02:23] ppdet.engine INFO: Epoch: [175] [ 0/366] learning_rate: 0.148236 loss_vfl: 0.901017 loss_bbox: 0.304012 loss_dfl: 0.189710 loss: 1.381885 eta: 1 day, 11:26:54 batch_cost: 3.3455 data_cost: 0.2110 ips: 23.9128 images/s [10/15 16:03:24] ppdet.engine INFO: Epoch: [175] [ 20/366] learning_rate: 0.148126 loss_vfl: 0.876397 loss_bbox: 0.323361 loss_dfl: 0.193613 loss: 1.372084 eta: 1 day, 11:26:00 batch_cost: 2.9474 data_cost: 0.0017 ips: 27.1430 images/s [10/15 16:04:24] ppdet.engine INFO: Epoch: [175] [ 40/366] learning_rate: 0.148015 loss_vfl: 0.889138 loss_bbox: 0.316259 loss_dfl: 0.198203 loss: 1.397365 eta: 1 day, 11:25:05 batch_cost: 2.8248 data_cost: 0.0016 ips: 28.3210 images/s [10/15 16:05:23] ppdet.engine INFO: Epoch: [175] [ 60/366] learning_rate: 0.147905 loss_vfl: 0.885333 loss_bbox: 0.304534 loss_dfl: 0.185106 loss: 1.371386 eta: 1 day, 11:24:09 batch_cost: 2.7898 data_cost: 0.0028 ips: 28.6759 images/s [10/15 16:06:22] ppdet.engine INFO: Epoch: [175] [ 80/366] learning_rate: 0.147794 loss_vfl: 0.889173 loss_bbox: 0.302808 loss_dfl: 0.194956 loss: 1.385359 eta: 1 day, 11:23:14 batch_cost: 2.8013 data_cost: 0.0016 ips: 28.5578 images/s [10/15 16:07:20] ppdet.engine INFO: Epoch: [175] [100/366] learning_rate: 0.147684 loss_vfl: 0.890262 loss_bbox: 0.315219 loss_dfl: 0.194996 loss: 1.415538 eta: 1 day, 11:22:17 batch_cost: 2.7582 data_cost: 0.0017 ips: 29.0044 images/s [10/15 16:08:19] ppdet.engine INFO: Epoch: [175] [120/366] learning_rate: 0.147573 loss_vfl: 0.882746 loss_bbox: 0.308933 loss_dfl: 0.195115 loss: 1.386417 eta: 1 day, 11:21:21 batch_cost: 2.7680 data_cost: 0.0016 ips: 28.9013 images/s [10/15 16:09:17] ppdet.engine INFO: Epoch: [175] [140/366] learning_rate: 0.147463 loss_vfl: 0.888320 loss_bbox: 0.318694 loss_dfl: 0.194629 loss: 1.397997 eta: 1 day, 11:20:25 batch_cost: 2.7394 data_cost: 0.0016 ips: 29.2033 images/s [10/15 16:10:16] ppdet.engine INFO: Epoch: [175] [160/366] learning_rate: 0.147352 loss_vfl: 0.879436 loss_bbox: 0.313729 loss_dfl: 0.188932 loss: 1.382939 eta: 1 day, 11:19:29 batch_cost: 2.8050 data_cost: 0.0024 ips: 28.5204 images/s [10/15 16:11:16] ppdet.engine INFO: Epoch: [175] [180/366] learning_rate: 0.147242 loss_vfl: 0.891633 loss_bbox: 0.319144 loss_dfl: 0.202779 loss: 1.404951 eta: 1 day, 11:18:35 batch_cost: 2.8666 data_cost: 0.0021 ips: 27.9079 images/s [10/15 16:12:15] ppdet.engine INFO: Epoch: [175] [200/366] learning_rate: 0.147132 loss_vfl: 0.904506 loss_bbox: 0.306181 loss_dfl: 0.191631 loss: 1.412669 eta: 1 day, 11:17:39 batch_cost: 2.8191 data_cost: 0.0017 ips: 28.3778 images/s [10/15 16:13:16] ppdet.engine INFO: Epoch: [175] [220/366] learning_rate: 0.147021 loss_vfl: 0.883731 loss_bbox: 0.298885 loss_dfl: 0.191751 loss: 1.385350 eta: 1 day, 11:16:45 batch_cost: 2.8692 data_cost: 0.0017 ips: 27.8819 images/s [10/15 16:14:14] ppdet.engine INFO: Epoch: [175] [240/366] learning_rate: 0.146911 loss_vfl: 0.880292 loss_bbox: 0.326344 loss_dfl: 0.201887 loss: 1.401011 eta: 1 day, 11:15:48 batch_cost: 2.7642 data_cost: 0.0017 ips: 28.9418 images/s [10/15 16:15:11] ppdet.engine INFO: Epoch: [175] [260/366] learning_rate: 0.146801 loss_vfl: 0.883446 loss_bbox: 0.293382 loss_dfl: 0.192062 loss: 1.376705 eta: 1 day, 11:14:51 batch_cost: 2.6943 data_cost: 0.0027 ips: 29.6922 images/s [10/15 16:16:09] ppdet.engine INFO: Epoch: [175] [280/366] learning_rate: 0.146690 loss_vfl: 0.898426 loss_bbox: 0.309106 loss_dfl: 0.193251 loss: 1.396097 eta: 1 day, 11:13:55 batch_cost: 2.7721 data_cost: 0.0017 ips: 28.8587 images/s [10/15 16:17:07] ppdet.engine INFO: Epoch: [175] [300/366] learning_rate: 0.146580 loss_vfl: 0.880897 loss_bbox: 0.313638 loss_dfl: 0.191039 loss: 1.379719 eta: 1 day, 11:12:59 batch_cost: 2.7449 data_cost: 0.0022 ips: 29.1449 images/s [10/15 16:18:04] ppdet.engine INFO: Epoch: [175] [320/366] learning_rate: 0.146470 loss_vfl: 0.896346 loss_bbox: 0.307771 loss_dfl: 0.190364 loss: 1.386877 eta: 1 day, 11:12:02 batch_cost: 2.7007 data_cost: 0.0016 ips: 29.6220 images/s [10/15 16:19:03] ppdet.engine INFO: Epoch: [175] [340/366] learning_rate: 0.146359 loss_vfl: 0.871494 loss_bbox: 0.317781 loss_dfl: 0.194069 loss: 1.397322 eta: 1 day, 11:11:06 batch_cost: 2.7849 data_cost: 0.0017 ips: 28.7264 images/s [10/15 16:19:57] ppdet.engine INFO: Epoch: [175] [360/366] learning_rate: 0.146249 loss_vfl: 0.874094 loss_bbox: 0.315397 loss_dfl: 0.198192 loss: 1.389413 eta: 1 day, 11:10:07 batch_cost: 2.5429 data_cost: 0.0017 ips: 31.4607 images/s [10/15 16:20:39] ppdet.engine INFO: Epoch: [176] [ 0/366] learning_rate: 0.146216 loss_vfl: 0.877187 loss_bbox: 0.316151 loss_dfl: 0.198518 loss: 1.396109 eta: 1 day, 11:10:05 batch_cost: 3.6043 data_cost: 0.7659 ips: 22.1960 images/s [10/15 16:21:39] ppdet.engine INFO: Epoch: [176] [ 20/366] learning_rate: 0.146106 loss_vfl: 0.894240 loss_bbox: 0.309644 loss_dfl: 0.196260 loss: 1.417778 eta: 1 day, 11:09:10 batch_cost: 2.8311 data_cost: 0.0031 ips: 28.2576 images/s [10/15 16:22:38] ppdet.engine INFO: Epoch: [176] [ 40/366] learning_rate: 0.145996 loss_vfl: 0.892040 loss_bbox: 0.302606 loss_dfl: 0.193109 loss: 1.405149 eta: 1 day, 11:08:14 batch_cost: 2.8125 data_cost: 0.0024 ips: 28.4444 images/s [10/15 16:23:36] ppdet.engine INFO: Epoch: [176] [ 60/366] learning_rate: 0.145885 loss_vfl: 0.898821 loss_bbox: 0.310532 loss_dfl: 0.195568 loss: 1.409624 eta: 1 day, 11:07:18 batch_cost: 2.7772 data_cost: 0.0016 ips: 28.8061 images/s [10/15 16:24:35] ppdet.engine INFO: Epoch: [176] [ 80/366] learning_rate: 0.145775 loss_vfl: 0.889379 loss_bbox: 0.318909 loss_dfl: 0.198472 loss: 1.397006 eta: 1 day, 11:06:23 batch_cost: 2.8015 data_cost: 0.0016 ips: 28.5557 images/s [10/15 16:25:35] ppdet.engine INFO: Epoch: [176] [100/366] learning_rate: 0.145665 loss_vfl: 0.898012 loss_bbox: 0.312593 loss_dfl: 0.196523 loss: 1.400501 eta: 1 day, 11:05:27 batch_cost: 2.8257 data_cost: 0.0017 ips: 28.3115 images/s [10/15 16:26:34] ppdet.engine INFO: Epoch: [176] [120/366] learning_rate: 0.145555 loss_vfl: 0.880860 loss_bbox: 0.307612 loss_dfl: 0.190666 loss: 1.376294 eta: 1 day, 11:04:31 batch_cost: 2.7908 data_cost: 0.0017 ips: 28.6652 images/s [10/15 16:27:33] ppdet.engine INFO: Epoch: [176] [140/366] learning_rate: 0.145445 loss_vfl: 0.897879 loss_bbox: 0.295801 loss_dfl: 0.183484 loss: 1.384428 eta: 1 day, 11:03:36 batch_cost: 2.8082 data_cost: 0.0016 ips: 28.4880 images/s [10/15 16:28:31] ppdet.engine INFO: Epoch: [176] [160/366] learning_rate: 0.145335 loss_vfl: 0.865946 loss_bbox: 0.320216 loss_dfl: 0.200956 loss: 1.385818 eta: 1 day, 11:02:40 batch_cost: 2.7893 data_cost: 0.0017 ips: 28.6812 images/s [10/15 16:29:30] ppdet.engine INFO: Epoch: [176] [180/366] learning_rate: 0.145225 loss_vfl: 0.884061 loss_bbox: 0.315237 loss_dfl: 0.188659 loss: 1.379046 eta: 1 day, 11:01:44 batch_cost: 2.7904 data_cost: 0.0016 ips: 28.6697 images/s [10/15 16:30:29] ppdet.engine INFO: Epoch: [176] [200/366] learning_rate: 0.145115 loss_vfl: 0.888156 loss_bbox: 0.321027 loss_dfl: 0.204125 loss: 1.408140 eta: 1 day, 11:00:49 batch_cost: 2.7946 data_cost: 0.0019 ips: 28.6261 images/s [10/15 16:31:28] ppdet.engine INFO: Epoch: [176] [220/366] learning_rate: 0.145005 loss_vfl: 0.889705 loss_bbox: 0.307390 loss_dfl: 0.197167 loss: 1.388529 eta: 1 day, 10:59:53 batch_cost: 2.7992 data_cost: 0.0020 ips: 28.5799 images/s [10/15 16:32:27] ppdet.engine INFO: Epoch: [176] [240/366] learning_rate: 0.144895 loss_vfl: 0.877536 loss_bbox: 0.303659 loss_dfl: 0.187158 loss: 1.377756 eta: 1 day, 10:58:57 batch_cost: 2.7623 data_cost: 0.0017 ips: 28.9616 images/s [10/15 16:33:26] ppdet.engine INFO: Epoch: [176] [260/366] learning_rate: 0.144785 loss_vfl: 0.903937 loss_bbox: 0.300966 loss_dfl: 0.187047 loss: 1.398920 eta: 1 day, 10:58:01 batch_cost: 2.8131 data_cost: 0.0016 ips: 28.4384 images/s [10/15 16:34:25] ppdet.engine INFO: Epoch: [176] [280/366] learning_rate: 0.144675 loss_vfl: 0.896153 loss_bbox: 0.321146 loss_dfl: 0.196555 loss: 1.406097 eta: 1 day, 10:57:05 batch_cost: 2.7769 data_cost: 0.0016 ips: 28.8091 images/s [10/15 16:35:22] ppdet.engine INFO: Epoch: [176] [300/366] learning_rate: 0.144565 loss_vfl: 0.895835 loss_bbox: 0.302095 loss_dfl: 0.190370 loss: 1.379429 eta: 1 day, 10:56:09 batch_cost: 2.7503 data_cost: 0.0016 ips: 29.0880 images/s [10/15 16:36:22] ppdet.engine INFO: Epoch: [176] [320/366] learning_rate: 0.144455 loss_vfl: 0.895014 loss_bbox: 0.327382 loss_dfl: 0.198604 loss: 1.403417 eta: 1 day, 10:55:14 batch_cost: 2.8269 data_cost: 0.0017 ips: 28.2991 images/s [10/15 16:37:20] ppdet.engine INFO: Epoch: [176] [340/366] learning_rate: 0.144345 loss_vfl: 0.878352 loss_bbox: 0.317746 loss_dfl: 0.192895 loss: 1.399394 eta: 1 day, 10:54:17 batch_cost: 2.7400 data_cost: 0.0017 ips: 29.1971 images/s [10/15 16:38:14] ppdet.engine INFO: Epoch: [176] [360/366] learning_rate: 0.144235 loss_vfl: 0.887823 loss_bbox: 0.308030 loss_dfl: 0.196904 loss: 1.402910 eta: 1 day, 10:53:18 batch_cost: 2.5467 data_cost: 0.0017 ips: 31.4130 images/s [10/15 16:38:54] ppdet.engine INFO: Epoch: [177] [ 0/366] learning_rate: 0.144202 loss_vfl: 0.889129 loss_bbox: 0.312905 loss_dfl: 0.196245 loss: 1.393506 eta: 1 day, 10:53:15 batch_cost: 3.5039 data_cost: 0.3925 ips: 22.8320 images/s [10/15 16:39:54] ppdet.engine INFO: Epoch: [177] [ 20/366] learning_rate: 0.144092 loss_vfl: 0.874989 loss_bbox: 0.315461 loss_dfl: 0.191569 loss: 1.390938 eta: 1 day, 10:52:19 batch_cost: 2.8146 data_cost: 0.0030 ips: 28.4228 images/s [10/15 16:40:52] ppdet.engine INFO: Epoch: [177] [ 40/366] learning_rate: 0.143982 loss_vfl: 0.883870 loss_bbox: 0.296961 loss_dfl: 0.189145 loss: 1.378773 eta: 1 day, 10:51:24 batch_cost: 2.7970 data_cost: 0.0016 ips: 28.6025 images/s [10/15 16:41:52] ppdet.engine INFO: Epoch: [177] [ 60/366] learning_rate: 0.143872 loss_vfl: 0.881599 loss_bbox: 0.302684 loss_dfl: 0.192390 loss: 1.375737 eta: 1 day, 10:50:28 batch_cost: 2.8061 data_cost: 0.0028 ips: 28.5097 images/s [10/15 16:42:49] ppdet.engine INFO: Epoch: [177] [ 80/366] learning_rate: 0.143762 loss_vfl: 0.888904 loss_bbox: 0.314406 loss_dfl: 0.195397 loss: 1.392900 eta: 1 day, 10:49:31 batch_cost: 2.7296 data_cost: 0.0029 ips: 29.3082 images/s [10/15 16:43:48] ppdet.engine INFO: Epoch: [177] [100/366] learning_rate: 0.143652 loss_vfl: 0.863601 loss_bbox: 0.335029 loss_dfl: 0.198393 loss: 1.413718 eta: 1 day, 10:48:36 batch_cost: 2.8250 data_cost: 0.0016 ips: 28.3187 images/s [10/15 16:44:49] ppdet.engine INFO: Epoch: [177] [120/366] learning_rate: 0.143543 loss_vfl: 0.878170 loss_bbox: 0.308894 loss_dfl: 0.196354 loss: 1.383369 eta: 1 day, 10:47:41 batch_cost: 2.8549 data_cost: 0.0017 ips: 28.0224 images/s [10/15 16:45:47] ppdet.engine INFO: Epoch: [177] [140/366] learning_rate: 0.143433 loss_vfl: 0.891054 loss_bbox: 0.296030 loss_dfl: 0.189319 loss: 1.373689 eta: 1 day, 10:46:45 batch_cost: 2.7869 data_cost: 0.0017 ips: 28.7056 images/s [10/15 16:46:47] ppdet.engine INFO: Epoch: [177] [160/366] learning_rate: 0.143323 loss_vfl: 0.883222 loss_bbox: 0.309609 loss_dfl: 0.197881 loss: 1.393182 eta: 1 day, 10:45:50 batch_cost: 2.8255 data_cost: 0.0017 ips: 28.3136 images/s [10/15 16:47:46] ppdet.engine INFO: Epoch: [177] [180/366] learning_rate: 0.143213 loss_vfl: 0.879024 loss_bbox: 0.322001 loss_dfl: 0.201694 loss: 1.411781 eta: 1 day, 10:44:54 batch_cost: 2.7861 data_cost: 0.0017 ips: 28.7142 images/s [10/15 16:48:45] ppdet.engine INFO: Epoch: [177] [200/366] learning_rate: 0.143104 loss_vfl: 0.879693 loss_bbox: 0.312376 loss_dfl: 0.189132 loss: 1.379555 eta: 1 day, 10:43:59 batch_cost: 2.8227 data_cost: 0.0021 ips: 28.3419 images/s [10/15 16:49:45] ppdet.engine INFO: Epoch: [177] [220/366] learning_rate: 0.142994 loss_vfl: 0.896598 loss_bbox: 0.313957 loss_dfl: 0.194719 loss: 1.410084 eta: 1 day, 10:43:04 batch_cost: 2.8223 data_cost: 0.0016 ips: 28.3461 images/s [10/15 16:50:44] ppdet.engine INFO: Epoch: [177] [240/366] learning_rate: 0.142884 loss_vfl: 0.887446 loss_bbox: 0.318935 loss_dfl: 0.196710 loss: 1.415601 eta: 1 day, 10:42:08 batch_cost: 2.8335 data_cost: 0.0024 ips: 28.2336 images/s [10/15 16:51:43] ppdet.engine INFO: Epoch: [177] [260/366] learning_rate: 0.142775 loss_vfl: 0.880485 loss_bbox: 0.319768 loss_dfl: 0.198838 loss: 1.410391 eta: 1 day, 10:41:12 batch_cost: 2.7387 data_cost: 0.0017 ips: 29.2112 images/s [10/15 16:52:42] ppdet.engine INFO: Epoch: [177] [280/366] learning_rate: 0.142665 loss_vfl: 0.881790 loss_bbox: 0.318444 loss_dfl: 0.193347 loss: 1.399670 eta: 1 day, 10:40:16 batch_cost: 2.7897 data_cost: 0.0016 ips: 28.6774 images/s [10/15 16:53:42] ppdet.engine INFO: Epoch: [177] [300/366] learning_rate: 0.142555 loss_vfl: 0.890551 loss_bbox: 0.306999 loss_dfl: 0.190757 loss: 1.389748 eta: 1 day, 10:39:22 batch_cost: 2.8848 data_cost: 0.0016 ips: 27.7312 images/s [10/15 16:54:44] ppdet.engine INFO: Epoch: [177] [320/366] learning_rate: 0.142446 loss_vfl: 0.879193 loss_bbox: 0.328931 loss_dfl: 0.199675 loss: 1.424304 eta: 1 day, 10:38:27 batch_cost: 2.9169 data_cost: 0.0017 ips: 27.4268 images/s [10/15 16:55:43] ppdet.engine INFO: Epoch: [177] [340/366] learning_rate: 0.142336 loss_vfl: 0.885178 loss_bbox: 0.314369 loss_dfl: 0.196500 loss: 1.383105 eta: 1 day, 10:37:32 batch_cost: 2.8130 data_cost: 0.0016 ips: 28.4391 images/s [10/15 16:56:38] ppdet.engine INFO: Epoch: [177] [360/366] learning_rate: 0.142227 loss_vfl: 0.892195 loss_bbox: 0.313007 loss_dfl: 0.190495 loss: 1.393385 eta: 1 day, 10:36:33 batch_cost: 2.5889 data_cost: 0.0017 ips: 30.9007 images/s [10/15 16:57:18] ppdet.engine INFO: Epoch: [178] [ 0/366] learning_rate: 0.142194 loss_vfl: 0.894667 loss_bbox: 0.306898 loss_dfl: 0.192780 loss: 1.393385 eta: 1 day, 10:36:30 batch_cost: 3.5097 data_cost: 0.5790 ips: 22.7937 images/s [10/15 16:58:17] ppdet.engine INFO: Epoch: [178] [ 20/366] learning_rate: 0.142084 loss_vfl: 0.875492 loss_bbox: 0.306139 loss_dfl: 0.189868 loss: 1.374630 eta: 1 day, 10:35:34 batch_cost: 2.7909 data_cost: 0.0018 ips: 28.6650 images/s [10/15 16:59:17] ppdet.engine INFO: Epoch: [178] [ 40/366] learning_rate: 0.141975 loss_vfl: 0.889857 loss_bbox: 0.296705 loss_dfl: 0.186654 loss: 1.368769 eta: 1 day, 10:34:39 batch_cost: 2.8524 data_cost: 0.0017 ips: 28.0461 images/s [10/15 17:00:14] ppdet.engine INFO: Epoch: [178] [ 60/366] learning_rate: 0.141865 loss_vfl: 0.895001 loss_bbox: 0.317072 loss_dfl: 0.187111 loss: 1.395442 eta: 1 day, 10:33:42 batch_cost: 2.6794 data_cost: 0.0017 ips: 29.8579 images/s [10/15 17:01:12] ppdet.engine INFO: Epoch: [178] [ 80/366] learning_rate: 0.141756 loss_vfl: 0.878683 loss_bbox: 0.300475 loss_dfl: 0.189349 loss: 1.370946 eta: 1 day, 10:32:45 batch_cost: 2.7520 data_cost: 0.0017 ips: 29.0698 images/s [10/15 17:02:10] ppdet.engine INFO: Epoch: [178] [100/366] learning_rate: 0.141646 loss_vfl: 0.886613 loss_bbox: 0.285925 loss_dfl: 0.182258 loss: 1.362723 eta: 1 day, 10:31:49 batch_cost: 2.7656 data_cost: 0.0016 ips: 28.9266 images/s [10/15 17:03:07] ppdet.engine INFO: Epoch: [178] [120/366] learning_rate: 0.141537 loss_vfl: 0.878300 loss_bbox: 0.310353 loss_dfl: 0.191597 loss: 1.382762 eta: 1 day, 10:30:53 batch_cost: 2.7329 data_cost: 0.0021 ips: 29.2732 images/s [10/15 17:04:06] ppdet.engine INFO: Epoch: [178] [140/366] learning_rate: 0.141427 loss_vfl: 0.884108 loss_bbox: 0.324777 loss_dfl: 0.200072 loss: 1.404917 eta: 1 day, 10:29:57 batch_cost: 2.8042 data_cost: 0.0017 ips: 28.5288 images/s [10/15 17:05:06] ppdet.engine INFO: Epoch: [178] [160/366] learning_rate: 0.141318 loss_vfl: 0.881337 loss_bbox: 0.296690 loss_dfl: 0.183553 loss: 1.367136 eta: 1 day, 10:29:02 batch_cost: 2.8492 data_cost: 0.0017 ips: 28.0781 images/s [10/15 17:06:06] ppdet.engine INFO: Epoch: [178] [180/366] learning_rate: 0.141208 loss_vfl: 0.879634 loss_bbox: 0.310109 loss_dfl: 0.197659 loss: 1.408546 eta: 1 day, 10:28:07 batch_cost: 2.8421 data_cost: 0.0016 ips: 28.1479 images/s [10/15 17:07:04] ppdet.engine INFO: Epoch: [178] [200/366] learning_rate: 0.141099 loss_vfl: 0.914191 loss_bbox: 0.299530 loss_dfl: 0.194786 loss: 1.407435 eta: 1 day, 10:27:10 batch_cost: 2.7275 data_cost: 0.0017 ips: 29.3311 images/s [10/15 17:08:01] ppdet.engine INFO: Epoch: [178] [220/366] learning_rate: 0.140990 loss_vfl: 0.892293 loss_bbox: 0.297954 loss_dfl: 0.188373 loss: 1.400371 eta: 1 day, 10:26:14 batch_cost: 2.7403 data_cost: 0.0023 ips: 29.1940 images/s [10/15 17:09:00] ppdet.engine INFO: Epoch: [178] [240/366] learning_rate: 0.140880 loss_vfl: 0.891794 loss_bbox: 0.300316 loss_dfl: 0.184814 loss: 1.374269 eta: 1 day, 10:25:18 batch_cost: 2.7796 data_cost: 0.0034 ips: 28.7807 images/s [10/15 17:09:59] ppdet.engine INFO: Epoch: [178] [260/366] learning_rate: 0.140771 loss_vfl: 0.887506 loss_bbox: 0.294084 loss_dfl: 0.189735 loss: 1.376631 eta: 1 day, 10:24:22 batch_cost: 2.7876 data_cost: 0.0016 ips: 28.6984 images/s [10/15 17:10:58] ppdet.engine INFO: Epoch: [178] [280/366] learning_rate: 0.140662 loss_vfl: 0.881936 loss_bbox: 0.308504 loss_dfl: 0.195296 loss: 1.405372 eta: 1 day, 10:23:27 batch_cost: 2.8370 data_cost: 0.0035 ips: 28.1992 images/s [10/15 17:11:57] ppdet.engine INFO: Epoch: [178] [300/366] learning_rate: 0.140552 loss_vfl: 0.882918 loss_bbox: 0.309061 loss_dfl: 0.189645 loss: 1.392756 eta: 1 day, 10:22:31 batch_cost: 2.7763 data_cost: 0.0016 ips: 28.8149 images/s [10/15 17:12:55] ppdet.engine INFO: Epoch: [178] [320/366] learning_rate: 0.140443 loss_vfl: 0.893227 loss_bbox: 0.308859 loss_dfl: 0.191256 loss: 1.393583 eta: 1 day, 10:21:35 batch_cost: 2.7796 data_cost: 0.0016 ips: 28.7814 images/s [10/15 17:13:55] ppdet.engine INFO: Epoch: [178] [340/366] learning_rate: 0.140334 loss_vfl: 0.896190 loss_bbox: 0.313070 loss_dfl: 0.193356 loss: 1.414474 eta: 1 day, 10:20:40 batch_cost: 2.8376 data_cost: 0.0016 ips: 28.1927 images/s [10/15 17:14:50] ppdet.engine INFO: Epoch: [178] [360/366] learning_rate: 0.140225 loss_vfl: 0.881453 loss_bbox: 0.300183 loss_dfl: 0.179641 loss: 1.380604 eta: 1 day, 10:19:41 batch_cost: 2.5948 data_cost: 0.0016 ips: 30.8303 images/s [10/15 17:15:30] ppdet.engine INFO: Epoch: [179] [ 0/366] learning_rate: 0.140192 loss_vfl: 0.881453 loss_bbox: 0.300183 loss_dfl: 0.183082 loss: 1.369758 eta: 1 day, 10:19:37 batch_cost: 3.5038 data_cost: 0.6438 ips: 22.8323 images/s [10/15 17:16:29] ppdet.engine INFO: Epoch: [179] [ 20/366] learning_rate: 0.140083 loss_vfl: 0.889902 loss_bbox: 0.307866 loss_dfl: 0.188554 loss: 1.376259 eta: 1 day, 10:18:41 batch_cost: 2.7888 data_cost: 0.0018 ips: 28.6858 images/s [10/15 17:17:28] ppdet.engine INFO: Epoch: [179] [ 40/366] learning_rate: 0.139973 loss_vfl: 0.858701 loss_bbox: 0.333929 loss_dfl: 0.200656 loss: 1.379447 eta: 1 day, 10:17:46 batch_cost: 2.8097 data_cost: 0.0018 ips: 28.4729 images/s [10/15 17:18:26] ppdet.engine INFO: Epoch: [179] [ 60/366] learning_rate: 0.139864 loss_vfl: 0.880771 loss_bbox: 0.317617 loss_dfl: 0.194565 loss: 1.390797 eta: 1 day, 10:16:49 batch_cost: 2.7426 data_cost: 0.0016 ips: 29.1694 images/s [10/15 17:19:25] ppdet.engine INFO: Epoch: [179] [ 80/366] learning_rate: 0.139755 loss_vfl: 0.901736 loss_bbox: 0.323802 loss_dfl: 0.198947 loss: 1.423354 eta: 1 day, 10:15:53 batch_cost: 2.7752 data_cost: 0.0017 ips: 28.8267 images/s [10/15 17:20:25] ppdet.engine INFO: Epoch: [179] [100/366] learning_rate: 0.139646 loss_vfl: 0.873686 loss_bbox: 0.310207 loss_dfl: 0.191733 loss: 1.386565 eta: 1 day, 10:14:58 batch_cost: 2.8350 data_cost: 0.0018 ips: 28.2191 images/s [10/15 17:21:23] ppdet.engine INFO: Epoch: [179] [120/366] learning_rate: 0.139537 loss_vfl: 0.905378 loss_bbox: 0.295185 loss_dfl: 0.193512 loss: 1.390288 eta: 1 day, 10:14:02 batch_cost: 2.7743 data_cost: 0.0023 ips: 28.8359 images/s [10/15 17:22:22] ppdet.engine INFO: Epoch: [179] [140/366] learning_rate: 0.139428 loss_vfl: 0.882588 loss_bbox: 0.310848 loss_dfl: 0.189379 loss: 1.384941 eta: 1 day, 10:13:07 batch_cost: 2.8112 data_cost: 0.0016 ips: 28.4571 images/s [10/15 17:23:21] ppdet.engine INFO: Epoch: [179] [160/366] learning_rate: 0.139319 loss_vfl: 0.879183 loss_bbox: 0.316332 loss_dfl: 0.190679 loss: 1.375260 eta: 1 day, 10:12:11 batch_cost: 2.7824 data_cost: 0.0016 ips: 28.7526 images/s [10/15 17:24:20] ppdet.engine INFO: Epoch: [179] [180/366] learning_rate: 0.139210 loss_vfl: 0.887142 loss_bbox: 0.317265 loss_dfl: 0.199582 loss: 1.413128 eta: 1 day, 10:11:15 batch_cost: 2.8096 data_cost: 0.0016 ips: 28.4735 images/s [10/15 17:25:18] ppdet.engine INFO: Epoch: [179] [200/366] learning_rate: 0.139101 loss_vfl: 0.886552 loss_bbox: 0.311348 loss_dfl: 0.192079 loss: 1.389612 eta: 1 day, 10:10:19 batch_cost: 2.7614 data_cost: 0.0023 ips: 28.9707 images/s [10/15 17:26:19] ppdet.engine INFO: Epoch: [179] [220/366] learning_rate: 0.138992 loss_vfl: 0.890767 loss_bbox: 0.304904 loss_dfl: 0.196776 loss: 1.381814 eta: 1 day, 10:09:24 batch_cost: 2.8661 data_cost: 0.0018 ips: 27.9129 images/s [10/15 17:27:18] ppdet.engine INFO: Epoch: [179] [240/366] learning_rate: 0.138883 loss_vfl: 0.883926 loss_bbox: 0.305336 loss_dfl: 0.189751 loss: 1.385760 eta: 1 day, 10:08:29 batch_cost: 2.8216 data_cost: 0.0017 ips: 28.3532 images/s [10/15 17:28:17] ppdet.engine INFO: Epoch: [179] [260/366] learning_rate: 0.138774 loss_vfl: 0.868500 loss_bbox: 0.321642 loss_dfl: 0.197795 loss: 1.406719 eta: 1 day, 10:07:33 batch_cost: 2.7990 data_cost: 0.0016 ips: 28.5817 images/s [10/15 17:29:15] ppdet.engine INFO: Epoch: [179] [280/366] learning_rate: 0.138665 loss_vfl: 0.881696 loss_bbox: 0.318786 loss_dfl: 0.195555 loss: 1.410647 eta: 1 day, 10:06:36 batch_cost: 2.7376 data_cost: 0.0017 ips: 29.2223 images/s [10/15 17:30:14] ppdet.engine INFO: Epoch: [179] [300/366] learning_rate: 0.138556 loss_vfl: 0.878655 loss_bbox: 0.314818 loss_dfl: 0.191135 loss: 1.405304 eta: 1 day, 10:05:41 batch_cost: 2.8068 data_cost: 0.0017 ips: 28.5021 images/s [10/15 17:31:13] ppdet.engine INFO: Epoch: [179] [320/366] learning_rate: 0.138447 loss_vfl: 0.889109 loss_bbox: 0.320234 loss_dfl: 0.199337 loss: 1.402122 eta: 1 day, 10:04:45 batch_cost: 2.8173 data_cost: 0.0023 ips: 28.3959 images/s [10/15 17:32:12] ppdet.engine INFO: Epoch: [179] [340/366] learning_rate: 0.138338 loss_vfl: 0.886974 loss_bbox: 0.312246 loss_dfl: 0.188988 loss: 1.389305 eta: 1 day, 10:03:49 batch_cost: 2.7720 data_cost: 0.0017 ips: 28.8599 images/s [10/15 17:33:06] ppdet.engine INFO: Epoch: [179] [360/366] learning_rate: 0.138229 loss_vfl: 0.891025 loss_bbox: 0.308781 loss_dfl: 0.190527 loss: 1.392686 eta: 1 day, 10:02:50 batch_cost: 2.5493 data_cost: 0.0017 ips: 31.3812 images/s [10/15 17:33:21] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 17:33:22] ppdet.engine INFO: Eval iter: 0 [10/15 17:34:00] ppdet.engine INFO: Eval iter: 100 [10/15 17:34:24] ppdet.engine INFO: Eval iter: 200 [10/15 17:34:47] ppdet.engine INFO: Eval iter: 300 [10/15 17:35:10] ppdet.engine INFO: Eval iter: 400 [10/15 17:35:34] ppdet.engine INFO: Eval iter: 500 [10/15 17:35:57] ppdet.engine INFO: Eval iter: 600 [10/15 17:36:19] 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 17:36:20] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.89s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.24s). Accumulating evaluation results... DONE (t=17.59s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.296 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.442 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.308 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.105 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.309 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.271 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.428 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.457 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.188 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 ] = 0.709 [10/15 17:38:23] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.57840823348464 [10/15 17:38:23] ppdet.engine INFO: Best test bbox ap is 0.296. [10/15 17:38:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 17:38:25] ppdet.engine INFO: Epoch: [180] [ 0/366] learning_rate: 0.138197 loss_vfl: 0.887905 loss_bbox: 0.319504 loss_dfl: 0.196399 loss: 1.392686 eta: 1 day, 10:02:32 batch_cost: 2.4150 data_cost: 0.0017 ips: 33.1258 images/s [10/15 17:39:26] ppdet.engine INFO: Epoch: [180] [ 20/366] learning_rate: 0.138088 loss_vfl: 0.878568 loss_bbox: 0.325899 loss_dfl: 0.199398 loss: 1.413061 eta: 1 day, 10:01:37 batch_cost: 2.8501 data_cost: 0.0019 ips: 28.0688 images/s [10/15 17:40:26] ppdet.engine INFO: Epoch: [180] [ 40/366] learning_rate: 0.137979 loss_vfl: 0.881988 loss_bbox: 0.302772 loss_dfl: 0.191798 loss: 1.386020 eta: 1 day, 10:00:41 batch_cost: 2.8301 data_cost: 0.0017 ips: 28.2678 images/s [10/15 17:41:26] ppdet.engine INFO: Epoch: [180] [ 60/366] learning_rate: 0.137870 loss_vfl: 0.881079 loss_bbox: 0.319081 loss_dfl: 0.192755 loss: 1.392495 eta: 1 day, 9:59:47 batch_cost: 2.8657 data_cost: 0.0017 ips: 27.9163 images/s [10/15 17:42:25] ppdet.engine INFO: Epoch: [180] [ 80/366] learning_rate: 0.137761 loss_vfl: 0.872316 loss_bbox: 0.314827 loss_dfl: 0.198831 loss: 1.390263 eta: 1 day, 9:58:51 batch_cost: 2.7762 data_cost: 0.0017 ips: 28.8167 images/s [10/15 17:43:23] ppdet.engine INFO: Epoch: [180] [100/366] learning_rate: 0.137653 loss_vfl: 0.888203 loss_bbox: 0.301014 loss_dfl: 0.186963 loss: 1.369975 eta: 1 day, 9:57:54 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0041 images/s [10/15 17:44:21] ppdet.engine INFO: Epoch: [180] [120/366] learning_rate: 0.137544 loss_vfl: 0.869302 loss_bbox: 0.319422 loss_dfl: 0.196757 loss: 1.401364 eta: 1 day, 9:56:58 batch_cost: 2.7833 data_cost: 0.0023 ips: 28.7428 images/s [10/15 17:45:22] ppdet.engine INFO: Epoch: [180] [140/366] learning_rate: 0.137435 loss_vfl: 0.875769 loss_bbox: 0.302760 loss_dfl: 0.193521 loss: 1.375450 eta: 1 day, 9:56:03 batch_cost: 2.8569 data_cost: 0.0017 ips: 28.0020 images/s [10/15 17:46:19] ppdet.engine INFO: Epoch: [180] [160/366] learning_rate: 0.137326 loss_vfl: 0.882026 loss_bbox: 0.315028 loss_dfl: 0.192603 loss: 1.388522 eta: 1 day, 9:55:07 batch_cost: 2.7246 data_cost: 0.0017 ips: 29.3625 images/s [10/15 17:47:19] ppdet.engine INFO: Epoch: [180] [180/366] learning_rate: 0.137218 loss_vfl: 0.888073 loss_bbox: 0.307137 loss_dfl: 0.192541 loss: 1.397557 eta: 1 day, 9:54:12 batch_cost: 2.8375 data_cost: 0.0017 ips: 28.1940 images/s [10/15 17:48:19] ppdet.engine INFO: Epoch: [180] [200/366] learning_rate: 0.137109 loss_vfl: 0.889004 loss_bbox: 0.301126 loss_dfl: 0.186681 loss: 1.380515 eta: 1 day, 9:53:17 batch_cost: 2.8527 data_cost: 0.0017 ips: 28.0437 images/s [10/15 17:49:18] ppdet.engine INFO: Epoch: [180] [220/366] learning_rate: 0.137001 loss_vfl: 0.883073 loss_bbox: 0.315330 loss_dfl: 0.192432 loss: 1.396085 eta: 1 day, 9:52:21 batch_cost: 2.7727 data_cost: 0.0016 ips: 28.8526 images/s [10/15 17:50:17] ppdet.engine INFO: Epoch: [180] [240/366] learning_rate: 0.136892 loss_vfl: 0.881112 loss_bbox: 0.330173 loss_dfl: 0.199174 loss: 1.424209 eta: 1 day, 9:51:25 batch_cost: 2.8141 data_cost: 0.0017 ips: 28.4283 images/s [10/15 17:51:16] ppdet.engine INFO: Epoch: [180] [260/366] learning_rate: 0.136783 loss_vfl: 0.878384 loss_bbox: 0.306896 loss_dfl: 0.188469 loss: 1.384199 eta: 1 day, 9:50:29 batch_cost: 2.8011 data_cost: 0.0027 ips: 28.5606 images/s [10/15 17:52:15] ppdet.engine INFO: Epoch: [180] [280/366] learning_rate: 0.136675 loss_vfl: 0.877462 loss_bbox: 0.300101 loss_dfl: 0.192782 loss: 1.382408 eta: 1 day, 9:49:34 batch_cost: 2.8033 data_cost: 0.0017 ips: 28.5376 images/s [10/15 17:53:13] ppdet.engine INFO: Epoch: [180] [300/366] learning_rate: 0.136566 loss_vfl: 0.878152 loss_bbox: 0.302041 loss_dfl: 0.197316 loss: 1.402492 eta: 1 day, 9:48:38 batch_cost: 2.7740 data_cost: 0.0016 ips: 28.8389 images/s [10/15 17:54:13] ppdet.engine INFO: Epoch: [180] [320/366] learning_rate: 0.136458 loss_vfl: 0.886918 loss_bbox: 0.302411 loss_dfl: 0.189845 loss: 1.385261 eta: 1 day, 9:47:42 batch_cost: 2.8261 data_cost: 0.0016 ips: 28.3076 images/s [10/15 17:55:11] ppdet.engine INFO: Epoch: [180] [340/366] learning_rate: 0.136349 loss_vfl: 0.867799 loss_bbox: 0.325512 loss_dfl: 0.194647 loss: 1.386305 eta: 1 day, 9:46:47 batch_cost: 2.7831 data_cost: 0.0016 ips: 28.7453 images/s [10/15 17:56:04] ppdet.engine INFO: Epoch: [180] [360/366] learning_rate: 0.136241 loss_vfl: 0.878129 loss_bbox: 0.315421 loss_dfl: 0.196176 loss: 1.415295 eta: 1 day, 9:45:47 batch_cost: 2.4888 data_cost: 0.0016 ips: 32.1439 images/s [10/15 17:56:39] ppdet.engine INFO: Epoch: [181] [ 0/366] learning_rate: 0.136208 loss_vfl: 0.889482 loss_bbox: 0.311677 loss_dfl: 0.195010 loss: 1.415295 eta: 1 day, 9:45:39 batch_cost: 3.1831 data_cost: 0.5294 ips: 25.1325 images/s [10/15 17:57:40] ppdet.engine INFO: Epoch: [181] [ 20/366] learning_rate: 0.136100 loss_vfl: 0.864270 loss_bbox: 0.330354 loss_dfl: 0.198045 loss: 1.393704 eta: 1 day, 9:44:44 batch_cost: 2.8701 data_cost: 0.0017 ips: 27.8738 images/s [10/15 17:58:39] ppdet.engine INFO: Epoch: [181] [ 40/366] learning_rate: 0.135991 loss_vfl: 0.872489 loss_bbox: 0.326720 loss_dfl: 0.198970 loss: 1.397401 eta: 1 day, 9:43:49 batch_cost: 2.8188 data_cost: 0.0017 ips: 28.3805 images/s [10/15 17:59:38] ppdet.engine INFO: Epoch: [181] [ 60/366] learning_rate: 0.135883 loss_vfl: 0.875260 loss_bbox: 0.320000 loss_dfl: 0.197606 loss: 1.397768 eta: 1 day, 9:42:53 batch_cost: 2.7669 data_cost: 0.0018 ips: 28.9129 images/s [10/15 18:00:36] ppdet.engine INFO: Epoch: [181] [ 80/366] learning_rate: 0.135774 loss_vfl: 0.872264 loss_bbox: 0.304874 loss_dfl: 0.190271 loss: 1.358324 eta: 1 day, 9:41:57 batch_cost: 2.7626 data_cost: 0.0029 ips: 28.9587 images/s [10/15 18:01:34] ppdet.engine INFO: Epoch: [181] [100/366] learning_rate: 0.135666 loss_vfl: 0.871454 loss_bbox: 0.319314 loss_dfl: 0.201935 loss: 1.378694 eta: 1 day, 9:41:01 batch_cost: 2.7650 data_cost: 0.0016 ips: 28.9333 images/s [10/15 18:02:34] ppdet.engine INFO: Epoch: [181] [120/366] learning_rate: 0.135558 loss_vfl: 0.874517 loss_bbox: 0.310513 loss_dfl: 0.193977 loss: 1.366422 eta: 1 day, 9:40:05 batch_cost: 2.8152 data_cost: 0.0016 ips: 28.4175 images/s [10/15 18:03:31] ppdet.engine INFO: Epoch: [181] [140/366] learning_rate: 0.135449 loss_vfl: 0.884949 loss_bbox: 0.305890 loss_dfl: 0.189868 loss: 1.388395 eta: 1 day, 9:39:08 batch_cost: 2.7277 data_cost: 0.0016 ips: 29.3282 images/s [10/15 18:04:31] ppdet.engine INFO: Epoch: [181] [160/366] learning_rate: 0.135341 loss_vfl: 0.881934 loss_bbox: 0.316195 loss_dfl: 0.197636 loss: 1.403585 eta: 1 day, 9:38:13 batch_cost: 2.8343 data_cost: 0.0016 ips: 28.2257 images/s [10/15 18:05:29] ppdet.engine INFO: Epoch: [181] [180/366] learning_rate: 0.135233 loss_vfl: 0.873973 loss_bbox: 0.323382 loss_dfl: 0.200456 loss: 1.409009 eta: 1 day, 9:37:17 batch_cost: 2.7532 data_cost: 0.0016 ips: 29.0569 images/s [10/15 18:06:28] ppdet.engine INFO: Epoch: [181] [200/366] learning_rate: 0.135124 loss_vfl: 0.884676 loss_bbox: 0.311703 loss_dfl: 0.193595 loss: 1.389565 eta: 1 day, 9:36:21 batch_cost: 2.7878 data_cost: 0.0016 ips: 28.6966 images/s [10/15 18:07:27] ppdet.engine INFO: Epoch: [181] [220/366] learning_rate: 0.135016 loss_vfl: 0.883512 loss_bbox: 0.306010 loss_dfl: 0.184166 loss: 1.371285 eta: 1 day, 9:35:26 batch_cost: 2.8289 data_cost: 0.0016 ips: 28.2795 images/s [10/15 18:08:26] ppdet.engine INFO: Epoch: [181] [240/366] learning_rate: 0.134908 loss_vfl: 0.885436 loss_bbox: 0.308430 loss_dfl: 0.196114 loss: 1.417159 eta: 1 day, 9:34:30 batch_cost: 2.8174 data_cost: 0.0017 ips: 28.3952 images/s [10/15 18:09:26] ppdet.engine INFO: Epoch: [181] [260/366] learning_rate: 0.134800 loss_vfl: 0.892884 loss_bbox: 0.307560 loss_dfl: 0.192802 loss: 1.384897 eta: 1 day, 9:33:35 batch_cost: 2.8419 data_cost: 0.0017 ips: 28.1506 images/s [10/15 18:10:24] ppdet.engine INFO: Epoch: [181] [280/366] learning_rate: 0.134692 loss_vfl: 0.901878 loss_bbox: 0.326705 loss_dfl: 0.200974 loss: 1.394863 eta: 1 day, 9:32:39 batch_cost: 2.7327 data_cost: 0.0017 ips: 29.2749 images/s [10/15 18:11:21] ppdet.engine INFO: Epoch: [181] [300/366] learning_rate: 0.134583 loss_vfl: 0.884774 loss_bbox: 0.303987 loss_dfl: 0.187218 loss: 1.395917 eta: 1 day, 9:31:42 batch_cost: 2.7152 data_cost: 0.0023 ips: 29.4634 images/s [10/15 18:12:20] ppdet.engine INFO: Epoch: [181] [320/366] learning_rate: 0.134475 loss_vfl: 0.884376 loss_bbox: 0.308721 loss_dfl: 0.194208 loss: 1.404321 eta: 1 day, 9:30:46 batch_cost: 2.7776 data_cost: 0.0016 ips: 28.8016 images/s [10/15 18:13:18] ppdet.engine INFO: Epoch: [181] [340/366] learning_rate: 0.134367 loss_vfl: 0.874469 loss_bbox: 0.296082 loss_dfl: 0.188626 loss: 1.382273 eta: 1 day, 9:29:49 batch_cost: 2.7531 data_cost: 0.0016 ips: 29.0583 images/s [10/15 18:14:11] ppdet.engine INFO: Epoch: [181] [360/366] learning_rate: 0.134259 loss_vfl: 0.892883 loss_bbox: 0.297562 loss_dfl: 0.186934 loss: 1.398569 eta: 1 day, 9:28:51 batch_cost: 2.5478 data_cost: 0.0016 ips: 31.4000 images/s [10/15 18:14:51] ppdet.engine INFO: Epoch: [182] [ 0/366] learning_rate: 0.134227 loss_vfl: 0.881771 loss_bbox: 0.297262 loss_dfl: 0.189015 loss: 1.377362 eta: 1 day, 9:28:45 batch_cost: 3.4372 data_cost: 0.5141 ips: 23.2751 images/s [10/15 18:15:52] ppdet.engine INFO: Epoch: [182] [ 20/366] learning_rate: 0.134119 loss_vfl: 0.879085 loss_bbox: 0.306105 loss_dfl: 0.191332 loss: 1.376932 eta: 1 day, 9:27:51 batch_cost: 2.8682 data_cost: 0.0019 ips: 27.8917 images/s [10/15 18:16:51] ppdet.engine INFO: Epoch: [182] [ 40/366] learning_rate: 0.134011 loss_vfl: 0.886290 loss_bbox: 0.317826 loss_dfl: 0.201193 loss: 1.379113 eta: 1 day, 9:26:55 batch_cost: 2.7769 data_cost: 0.0018 ips: 28.8087 images/s [10/15 18:17:48] ppdet.engine INFO: Epoch: [182] [ 60/366] learning_rate: 0.133903 loss_vfl: 0.893945 loss_bbox: 0.312152 loss_dfl: 0.193259 loss: 1.403275 eta: 1 day, 9:25:58 batch_cost: 2.7021 data_cost: 0.0016 ips: 29.6063 images/s [10/15 18:18:46] ppdet.engine INFO: Epoch: [182] [ 80/366] learning_rate: 0.133795 loss_vfl: 0.883313 loss_bbox: 0.297891 loss_dfl: 0.187339 loss: 1.365328 eta: 1 day, 9:25:01 batch_cost: 2.7582 data_cost: 0.0017 ips: 29.0042 images/s [10/15 18:19:44] ppdet.engine INFO: Epoch: [182] [100/366] learning_rate: 0.133687 loss_vfl: 0.885612 loss_bbox: 0.316610 loss_dfl: 0.194780 loss: 1.387316 eta: 1 day, 9:24:06 batch_cost: 2.7831 data_cost: 0.0016 ips: 28.7453 images/s [10/15 18:20:44] ppdet.engine INFO: Epoch: [182] [120/366] learning_rate: 0.133579 loss_vfl: 0.876992 loss_bbox: 0.315397 loss_dfl: 0.192769 loss: 1.377453 eta: 1 day, 9:23:10 batch_cost: 2.8333 data_cost: 0.0023 ips: 28.2359 images/s [10/15 18:21:43] ppdet.engine INFO: Epoch: [182] [140/366] learning_rate: 0.133471 loss_vfl: 0.883711 loss_bbox: 0.307785 loss_dfl: 0.195202 loss: 1.379249 eta: 1 day, 9:22:15 batch_cost: 2.8179 data_cost: 0.0023 ips: 28.3898 images/s [10/15 18:22:40] ppdet.engine INFO: Epoch: [182] [160/366] learning_rate: 0.133363 loss_vfl: 0.878539 loss_bbox: 0.313144 loss_dfl: 0.195158 loss: 1.378050 eta: 1 day, 9:21:17 batch_cost: 2.6641 data_cost: 0.0016 ips: 30.0290 images/s [10/15 18:23:37] ppdet.engine INFO: Epoch: [182] [180/366] learning_rate: 0.133255 loss_vfl: 0.881259 loss_bbox: 0.302176 loss_dfl: 0.188288 loss: 1.373983 eta: 1 day, 9:20:20 batch_cost: 2.7034 data_cost: 0.0020 ips: 29.5920 images/s [10/15 18:24:36] ppdet.engine INFO: Epoch: [182] [200/366] learning_rate: 0.133147 loss_vfl: 0.863170 loss_bbox: 0.309368 loss_dfl: 0.200800 loss: 1.387009 eta: 1 day, 9:19:24 batch_cost: 2.7787 data_cost: 0.0018 ips: 28.7901 images/s [10/15 18:25:33] ppdet.engine INFO: Epoch: [182] [220/366] learning_rate: 0.133039 loss_vfl: 0.875234 loss_bbox: 0.298809 loss_dfl: 0.186937 loss: 1.370033 eta: 1 day, 9:18:28 batch_cost: 2.7447 data_cost: 0.0023 ips: 29.1473 images/s [10/15 18:26:35] ppdet.engine INFO: Epoch: [182] [240/366] learning_rate: 0.132931 loss_vfl: 0.864613 loss_bbox: 0.308190 loss_dfl: 0.190585 loss: 1.369563 eta: 1 day, 9:17:34 batch_cost: 2.9064 data_cost: 0.0017 ips: 27.5254 images/s [10/15 18:27:34] ppdet.engine INFO: Epoch: [182] [260/366] learning_rate: 0.132823 loss_vfl: 0.875000 loss_bbox: 0.303284 loss_dfl: 0.189991 loss: 1.376376 eta: 1 day, 9:16:38 batch_cost: 2.8155 data_cost: 0.0018 ips: 28.4139 images/s [10/15 18:28:35] ppdet.engine INFO: Epoch: [182] [280/366] learning_rate: 0.132716 loss_vfl: 0.873172 loss_bbox: 0.314540 loss_dfl: 0.195509 loss: 1.387218 eta: 1 day, 9:15:43 batch_cost: 2.8441 data_cost: 0.0016 ips: 28.1283 images/s [10/15 18:29:34] ppdet.engine INFO: Epoch: [182] [300/366] learning_rate: 0.132608 loss_vfl: 0.884307 loss_bbox: 0.319816 loss_dfl: 0.193392 loss: 1.388882 eta: 1 day, 9:14:47 batch_cost: 2.8072 data_cost: 0.0023 ips: 28.4984 images/s [10/15 18:30:33] ppdet.engine INFO: Epoch: [182] [320/366] learning_rate: 0.132500 loss_vfl: 0.889789 loss_bbox: 0.305037 loss_dfl: 0.191550 loss: 1.396529 eta: 1 day, 9:13:52 batch_cost: 2.7950 data_cost: 0.0017 ips: 28.6226 images/s [10/15 18:31:31] ppdet.engine INFO: Epoch: [182] [340/366] learning_rate: 0.132392 loss_vfl: 0.878462 loss_bbox: 0.318253 loss_dfl: 0.194300 loss: 1.388195 eta: 1 day, 9:12:55 batch_cost: 2.7442 data_cost: 0.0025 ips: 29.1527 images/s [10/15 18:32:25] ppdet.engine INFO: Epoch: [182] [360/366] learning_rate: 0.132285 loss_vfl: 0.884725 loss_bbox: 0.312821 loss_dfl: 0.200127 loss: 1.395446 eta: 1 day, 9:11:57 batch_cost: 2.5596 data_cost: 0.0016 ips: 31.2554 images/s [10/15 18:33:04] ppdet.engine INFO: Epoch: [183] [ 0/366] learning_rate: 0.132252 loss_vfl: 0.886298 loss_bbox: 0.325008 loss_dfl: 0.198603 loss: 1.412184 eta: 1 day, 9:11:52 batch_cost: 3.4764 data_cost: 0.5796 ips: 23.0122 images/s [10/15 18:34:04] ppdet.engine INFO: Epoch: [183] [ 20/366] learning_rate: 0.132145 loss_vfl: 0.887962 loss_bbox: 0.317105 loss_dfl: 0.194466 loss: 1.393328 eta: 1 day, 9:10:56 batch_cost: 2.7989 data_cost: 0.0019 ips: 28.5829 images/s [10/15 18:35:04] ppdet.engine INFO: Epoch: [183] [ 40/366] learning_rate: 0.132037 loss_vfl: 0.891719 loss_bbox: 0.301589 loss_dfl: 0.193326 loss: 1.376877 eta: 1 day, 9:10:01 batch_cost: 2.8305 data_cost: 0.0017 ips: 28.2635 images/s [10/15 18:36:02] ppdet.engine INFO: Epoch: [183] [ 60/366] learning_rate: 0.131929 loss_vfl: 0.886357 loss_bbox: 0.296349 loss_dfl: 0.180150 loss: 1.363511 eta: 1 day, 9:09:04 batch_cost: 2.7663 data_cost: 0.0016 ips: 28.9199 images/s [10/15 18:37:01] ppdet.engine INFO: Epoch: [183] [ 80/366] learning_rate: 0.131822 loss_vfl: 0.879984 loss_bbox: 0.308260 loss_dfl: 0.193640 loss: 1.384770 eta: 1 day, 9:08:09 batch_cost: 2.8099 data_cost: 0.0016 ips: 28.4712 images/s [10/15 18:38:01] ppdet.engine INFO: Epoch: [183] [100/366] learning_rate: 0.131714 loss_vfl: 0.876052 loss_bbox: 0.330768 loss_dfl: 0.208824 loss: 1.422540 eta: 1 day, 9:07:13 batch_cost: 2.8098 data_cost: 0.0016 ips: 28.4722 images/s [10/15 18:38:59] ppdet.engine INFO: Epoch: [183] [120/366] learning_rate: 0.131607 loss_vfl: 0.880149 loss_bbox: 0.305654 loss_dfl: 0.197456 loss: 1.377510 eta: 1 day, 9:06:17 batch_cost: 2.7859 data_cost: 0.0016 ips: 28.7160 images/s [10/15 18:39:58] ppdet.engine INFO: Epoch: [183] [140/366] learning_rate: 0.131499 loss_vfl: 0.902470 loss_bbox: 0.304980 loss_dfl: 0.193691 loss: 1.385630 eta: 1 day, 9:05:21 batch_cost: 2.7724 data_cost: 0.0016 ips: 28.8556 images/s [10/15 18:40:57] ppdet.engine INFO: Epoch: [183] [160/366] learning_rate: 0.131392 loss_vfl: 0.896116 loss_bbox: 0.304042 loss_dfl: 0.190491 loss: 1.388618 eta: 1 day, 9:04:26 batch_cost: 2.8271 data_cost: 0.0017 ips: 28.2980 images/s [10/15 18:41:56] ppdet.engine INFO: Epoch: [183] [180/366] learning_rate: 0.131284 loss_vfl: 0.882030 loss_bbox: 0.319217 loss_dfl: 0.194136 loss: 1.379061 eta: 1 day, 9:03:30 batch_cost: 2.7870 data_cost: 0.0017 ips: 28.7045 images/s [10/15 18:42:54] ppdet.engine INFO: Epoch: [183] [200/366] learning_rate: 0.131177 loss_vfl: 0.892834 loss_bbox: 0.298587 loss_dfl: 0.185673 loss: 1.377230 eta: 1 day, 9:02:34 batch_cost: 2.7640 data_cost: 0.0029 ips: 28.9439 images/s [10/15 18:43:52] ppdet.engine INFO: Epoch: [183] [220/366] learning_rate: 0.131069 loss_vfl: 0.880445 loss_bbox: 0.292450 loss_dfl: 0.187374 loss: 1.366165 eta: 1 day, 9:01:38 batch_cost: 2.7784 data_cost: 0.0023 ips: 28.7938 images/s [10/15 18:44:52] ppdet.engine INFO: Epoch: [183] [240/366] learning_rate: 0.130962 loss_vfl: 0.879685 loss_bbox: 0.318130 loss_dfl: 0.198243 loss: 1.390675 eta: 1 day, 9:00:42 batch_cost: 2.8050 data_cost: 0.0017 ips: 28.5203 images/s [10/15 18:45:51] ppdet.engine INFO: Epoch: [183] [260/366] learning_rate: 0.130854 loss_vfl: 0.885546 loss_bbox: 0.316885 loss_dfl: 0.194600 loss: 1.393782 eta: 1 day, 8:59:47 batch_cost: 2.7958 data_cost: 0.0017 ips: 28.6142 images/s [10/15 18:46:51] ppdet.engine INFO: Epoch: [183] [280/366] learning_rate: 0.130747 loss_vfl: 0.882005 loss_bbox: 0.302003 loss_dfl: 0.185665 loss: 1.370660 eta: 1 day, 8:58:52 batch_cost: 2.8621 data_cost: 0.0017 ips: 27.9511 images/s [10/15 18:47:51] ppdet.engine INFO: Epoch: [183] [300/366] learning_rate: 0.130640 loss_vfl: 0.876800 loss_bbox: 0.316733 loss_dfl: 0.194045 loss: 1.384338 eta: 1 day, 8:57:56 batch_cost: 2.8088 data_cost: 0.0017 ips: 28.4814 images/s [10/15 18:48:50] ppdet.engine INFO: Epoch: [183] [320/366] learning_rate: 0.130532 loss_vfl: 0.890195 loss_bbox: 0.306623 loss_dfl: 0.192315 loss: 1.381572 eta: 1 day, 8:57:00 batch_cost: 2.8055 data_cost: 0.0016 ips: 28.5154 images/s [10/15 18:49:50] ppdet.engine INFO: Epoch: [183] [340/366] learning_rate: 0.130425 loss_vfl: 0.875471 loss_bbox: 0.309986 loss_dfl: 0.190895 loss: 1.399324 eta: 1 day, 8:56:05 batch_cost: 2.8161 data_cost: 0.0023 ips: 28.4078 images/s [10/15 18:50:46] ppdet.engine INFO: Epoch: [183] [360/366] learning_rate: 0.130318 loss_vfl: 0.892281 loss_bbox: 0.309867 loss_dfl: 0.194046 loss: 1.393439 eta: 1 day, 8:55:07 batch_cost: 2.6413 data_cost: 0.0017 ips: 30.2884 images/s [10/15 18:51:25] ppdet.engine INFO: Epoch: [184] [ 0/366] learning_rate: 0.130286 loss_vfl: 0.888468 loss_bbox: 0.313643 loss_dfl: 0.194767 loss: 1.396791 eta: 1 day, 8:55:01 batch_cost: 3.5023 data_cost: 0.4949 ips: 22.8420 images/s [10/15 18:52:24] ppdet.engine INFO: Epoch: [184] [ 20/366] learning_rate: 0.130178 loss_vfl: 0.856844 loss_bbox: 0.303723 loss_dfl: 0.190905 loss: 1.366627 eta: 1 day, 8:54:06 batch_cost: 2.7981 data_cost: 0.0018 ips: 28.5909 images/s [10/15 18:53:24] ppdet.engine INFO: Epoch: [184] [ 40/366] learning_rate: 0.130071 loss_vfl: 0.886285 loss_bbox: 0.303898 loss_dfl: 0.189575 loss: 1.384014 eta: 1 day, 8:53:11 batch_cost: 2.8498 data_cost: 0.0017 ips: 28.0721 images/s [10/15 18:54:23] ppdet.engine INFO: Epoch: [184] [ 60/366] learning_rate: 0.129964 loss_vfl: 0.882891 loss_bbox: 0.309974 loss_dfl: 0.194339 loss: 1.392536 eta: 1 day, 8:52:15 batch_cost: 2.7843 data_cost: 0.0017 ips: 28.7326 images/s [10/15 18:55:21] ppdet.engine INFO: Epoch: [184] [ 80/366] learning_rate: 0.129857 loss_vfl: 0.887006 loss_bbox: 0.295150 loss_dfl: 0.189635 loss: 1.373159 eta: 1 day, 8:51:18 batch_cost: 2.7403 data_cost: 0.0017 ips: 29.1934 images/s [10/15 18:56:19] ppdet.engine INFO: Epoch: [184] [100/366] learning_rate: 0.129750 loss_vfl: 0.880406 loss_bbox: 0.317440 loss_dfl: 0.197359 loss: 1.385852 eta: 1 day, 8:50:22 batch_cost: 2.7327 data_cost: 0.0016 ips: 29.2750 images/s [10/15 18:57:16] ppdet.engine INFO: Epoch: [184] [120/366] learning_rate: 0.129642 loss_vfl: 0.876267 loss_bbox: 0.308655 loss_dfl: 0.191307 loss: 1.368357 eta: 1 day, 8:49:25 batch_cost: 2.7016 data_cost: 0.0016 ips: 29.6123 images/s [10/15 18:58:14] ppdet.engine INFO: Epoch: [184] [140/366] learning_rate: 0.129535 loss_vfl: 0.890820 loss_bbox: 0.307528 loss_dfl: 0.191762 loss: 1.395542 eta: 1 day, 8:48:28 batch_cost: 2.7492 data_cost: 0.0021 ips: 29.0994 images/s [10/15 18:59:12] ppdet.engine INFO: Epoch: [184] [160/366] learning_rate: 0.129428 loss_vfl: 0.886838 loss_bbox: 0.321683 loss_dfl: 0.201139 loss: 1.392866 eta: 1 day, 8:47:33 batch_cost: 2.7914 data_cost: 0.0016 ips: 28.6590 images/s [10/15 19:00:12] ppdet.engine INFO: Epoch: [184] [180/366] learning_rate: 0.129321 loss_vfl: 0.872818 loss_bbox: 0.313477 loss_dfl: 0.197120 loss: 1.399269 eta: 1 day, 8:46:37 batch_cost: 2.8249 data_cost: 0.0017 ips: 28.3200 images/s [10/15 19:01:11] ppdet.engine INFO: Epoch: [184] [200/366] learning_rate: 0.129214 loss_vfl: 0.876210 loss_bbox: 0.315886 loss_dfl: 0.188297 loss: 1.366989 eta: 1 day, 8:45:41 batch_cost: 2.7892 data_cost: 0.0017 ips: 28.6821 images/s [10/15 19:02:10] ppdet.engine INFO: Epoch: [184] [220/366] learning_rate: 0.129107 loss_vfl: 0.876777 loss_bbox: 0.311891 loss_dfl: 0.196549 loss: 1.400725 eta: 1 day, 8:44:46 batch_cost: 2.8225 data_cost: 0.0016 ips: 28.3437 images/s [10/15 19:03:09] ppdet.engine INFO: Epoch: [184] [240/366] learning_rate: 0.129000 loss_vfl: 0.869589 loss_bbox: 0.341946 loss_dfl: 0.200755 loss: 1.405469 eta: 1 day, 8:43:50 batch_cost: 2.7995 data_cost: 0.0016 ips: 28.5762 images/s [10/15 19:04:09] ppdet.engine INFO: Epoch: [184] [260/366] learning_rate: 0.128893 loss_vfl: 0.885180 loss_bbox: 0.306055 loss_dfl: 0.187861 loss: 1.369354 eta: 1 day, 8:42:55 batch_cost: 2.8255 data_cost: 0.0022 ips: 28.3139 images/s [10/15 19:05:07] ppdet.engine INFO: Epoch: [184] [280/366] learning_rate: 0.128786 loss_vfl: 0.883889 loss_bbox: 0.295871 loss_dfl: 0.192420 loss: 1.388079 eta: 1 day, 8:41:58 batch_cost: 2.7416 data_cost: 0.0016 ips: 29.1802 images/s [10/15 19:06:05] ppdet.engine INFO: Epoch: [184] [300/366] learning_rate: 0.128679 loss_vfl: 0.893568 loss_bbox: 0.307412 loss_dfl: 0.190951 loss: 1.396367 eta: 1 day, 8:41:02 batch_cost: 2.7523 data_cost: 0.0024 ips: 29.0669 images/s [10/15 19:07:03] ppdet.engine INFO: Epoch: [184] [320/366] learning_rate: 0.128572 loss_vfl: 0.862146 loss_bbox: 0.316426 loss_dfl: 0.191788 loss: 1.375100 eta: 1 day, 8:40:06 batch_cost: 2.7833 data_cost: 0.0023 ips: 28.7427 images/s [10/15 19:08:02] ppdet.engine INFO: Epoch: [184] [340/366] learning_rate: 0.128465 loss_vfl: 0.895589 loss_bbox: 0.309044 loss_dfl: 0.192865 loss: 1.397280 eta: 1 day, 8:39:10 batch_cost: 2.7985 data_cost: 0.0016 ips: 28.5866 images/s [10/15 19:08:55] ppdet.engine INFO: Epoch: [184] [360/366] learning_rate: 0.128358 loss_vfl: 0.877769 loss_bbox: 0.317649 loss_dfl: 0.198377 loss: 1.387720 eta: 1 day, 8:38:11 batch_cost: 2.4877 data_cost: 0.0015 ips: 32.1584 images/s [10/15 19:09:32] ppdet.engine INFO: Epoch: [185] [ 0/366] learning_rate: 0.128326 loss_vfl: 0.886916 loss_bbox: 0.317135 loss_dfl: 0.197624 loss: 1.400468 eta: 1 day, 8:38:04 batch_cost: 3.2992 data_cost: 0.4424 ips: 24.2481 images/s [10/15 19:10:32] ppdet.engine INFO: Epoch: [185] [ 20/366] learning_rate: 0.128220 loss_vfl: 0.873940 loss_bbox: 0.323303 loss_dfl: 0.197527 loss: 1.382254 eta: 1 day, 8:37:09 batch_cost: 2.8616 data_cost: 0.0018 ips: 27.9568 images/s [10/15 19:11:32] ppdet.engine INFO: Epoch: [185] [ 40/366] learning_rate: 0.128113 loss_vfl: 0.884560 loss_bbox: 0.316830 loss_dfl: 0.192585 loss: 1.391228 eta: 1 day, 8:36:14 batch_cost: 2.8395 data_cost: 0.0017 ips: 28.1736 images/s [10/15 19:12:30] ppdet.engine INFO: Epoch: [185] [ 60/366] learning_rate: 0.128006 loss_vfl: 0.867515 loss_bbox: 0.291836 loss_dfl: 0.187421 loss: 1.331567 eta: 1 day, 8:35:18 batch_cost: 2.7579 data_cost: 0.0017 ips: 29.0072 images/s [10/15 19:13:30] ppdet.engine INFO: Epoch: [185] [ 80/366] learning_rate: 0.127899 loss_vfl: 0.870898 loss_bbox: 0.309570 loss_dfl: 0.192620 loss: 1.395797 eta: 1 day, 8:34:22 batch_cost: 2.8365 data_cost: 0.0017 ips: 28.2037 images/s [10/15 19:14:28] ppdet.engine INFO: Epoch: [185] [100/366] learning_rate: 0.127792 loss_vfl: 0.867758 loss_bbox: 0.314596 loss_dfl: 0.190495 loss: 1.386501 eta: 1 day, 8:33:26 batch_cost: 2.7417 data_cost: 0.0023 ips: 29.1789 images/s [10/15 19:15:26] ppdet.engine INFO: Epoch: [185] [120/366] learning_rate: 0.127686 loss_vfl: 0.882675 loss_bbox: 0.287608 loss_dfl: 0.187787 loss: 1.374739 eta: 1 day, 8:32:30 batch_cost: 2.7589 data_cost: 0.0017 ips: 28.9968 images/s [10/15 19:16:25] ppdet.engine INFO: Epoch: [185] [140/366] learning_rate: 0.127579 loss_vfl: 0.894785 loss_bbox: 0.299112 loss_dfl: 0.192843 loss: 1.387859 eta: 1 day, 8:31:34 batch_cost: 2.8092 data_cost: 0.0016 ips: 28.4776 images/s [10/15 19:17:23] ppdet.engine INFO: Epoch: [185] [160/366] learning_rate: 0.127472 loss_vfl: 0.879802 loss_bbox: 0.307984 loss_dfl: 0.195640 loss: 1.406360 eta: 1 day, 8:30:38 batch_cost: 2.7359 data_cost: 0.0022 ips: 29.2411 images/s [10/15 19:18:23] ppdet.engine INFO: Epoch: [185] [180/366] learning_rate: 0.127366 loss_vfl: 0.884581 loss_bbox: 0.309891 loss_dfl: 0.193599 loss: 1.395611 eta: 1 day, 8:29:42 batch_cost: 2.8437 data_cost: 0.0016 ips: 28.1325 images/s [10/15 19:19:22] ppdet.engine INFO: Epoch: [185] [200/366] learning_rate: 0.127259 loss_vfl: 0.905202 loss_bbox: 0.312801 loss_dfl: 0.191941 loss: 1.402909 eta: 1 day, 8:28:46 batch_cost: 2.7812 data_cost: 0.0017 ips: 28.7648 images/s [10/15 19:20:19] ppdet.engine INFO: Epoch: [185] [220/366] learning_rate: 0.127153 loss_vfl: 0.876979 loss_bbox: 0.311772 loss_dfl: 0.193368 loss: 1.369751 eta: 1 day, 8:27:49 batch_cost: 2.6985 data_cost: 0.0016 ips: 29.6459 images/s [10/15 19:21:16] ppdet.engine INFO: Epoch: [185] [240/366] learning_rate: 0.127046 loss_vfl: 0.873498 loss_bbox: 0.315252 loss_dfl: 0.195579 loss: 1.388647 eta: 1 day, 8:26:53 batch_cost: 2.7035 data_cost: 0.0029 ips: 29.5913 images/s [10/15 19:22:16] ppdet.engine INFO: Epoch: [185] [260/366] learning_rate: 0.126939 loss_vfl: 0.889416 loss_bbox: 0.304729 loss_dfl: 0.181769 loss: 1.379569 eta: 1 day, 8:25:57 batch_cost: 2.8474 data_cost: 0.0016 ips: 28.0957 images/s [10/15 19:23:15] ppdet.engine INFO: Epoch: [185] [280/366] learning_rate: 0.126833 loss_vfl: 0.875679 loss_bbox: 0.292657 loss_dfl: 0.180678 loss: 1.345750 eta: 1 day, 8:25:02 batch_cost: 2.8097 data_cost: 0.0016 ips: 28.4730 images/s [10/15 19:24:15] ppdet.engine INFO: Epoch: [185] [300/366] learning_rate: 0.126726 loss_vfl: 0.889997 loss_bbox: 0.291241 loss_dfl: 0.182367 loss: 1.372484 eta: 1 day, 8:24:06 batch_cost: 2.8263 data_cost: 0.0025 ips: 28.3060 images/s [10/15 19:25:15] ppdet.engine INFO: Epoch: [185] [320/366] learning_rate: 0.126620 loss_vfl: 0.878595 loss_bbox: 0.297179 loss_dfl: 0.186685 loss: 1.364920 eta: 1 day, 8:23:11 batch_cost: 2.8350 data_cost: 0.0017 ips: 28.2191 images/s [10/15 19:26:12] ppdet.engine INFO: Epoch: [185] [340/366] learning_rate: 0.126513 loss_vfl: 0.878827 loss_bbox: 0.310118 loss_dfl: 0.194655 loss: 1.378458 eta: 1 day, 8:22:15 batch_cost: 2.7247 data_cost: 0.0027 ips: 29.3611 images/s [10/15 19:27:06] ppdet.engine INFO: Epoch: [185] [360/366] learning_rate: 0.126407 loss_vfl: 0.893052 loss_bbox: 0.301453 loss_dfl: 0.189634 loss: 1.370160 eta: 1 day, 8:21:15 batch_cost: 2.5221 data_cost: 0.0016 ips: 31.7200 images/s [10/15 19:27:44] ppdet.engine INFO: Epoch: [186] [ 0/366] learning_rate: 0.126375 loss_vfl: 0.890084 loss_bbox: 0.299157 loss_dfl: 0.194024 loss: 1.399153 eta: 1 day, 8:21:09 batch_cost: 3.3727 data_cost: 0.5240 ips: 23.7199 images/s [10/15 19:28:43] ppdet.engine INFO: Epoch: [186] [ 20/366] learning_rate: 0.126269 loss_vfl: 0.881009 loss_bbox: 0.304446 loss_dfl: 0.193080 loss: 1.381112 eta: 1 day, 8:20:13 batch_cost: 2.7916 data_cost: 0.0019 ips: 28.6570 images/s [10/15 19:29:40] ppdet.engine INFO: Epoch: [186] [ 40/366] learning_rate: 0.126162 loss_vfl: 0.883325 loss_bbox: 0.310410 loss_dfl: 0.190020 loss: 1.380326 eta: 1 day, 8:19:17 batch_cost: 2.7353 data_cost: 0.0017 ips: 29.2473 images/s [10/15 19:30:40] ppdet.engine INFO: Epoch: [186] [ 60/366] learning_rate: 0.126056 loss_vfl: 0.884843 loss_bbox: 0.319290 loss_dfl: 0.196769 loss: 1.404044 eta: 1 day, 8:18:21 batch_cost: 2.8304 data_cost: 0.0026 ips: 28.2649 images/s [10/15 19:31:38] ppdet.engine INFO: Epoch: [186] [ 80/366] learning_rate: 0.125950 loss_vfl: 0.878641 loss_bbox: 0.312674 loss_dfl: 0.195616 loss: 1.384150 eta: 1 day, 8:17:25 batch_cost: 2.7213 data_cost: 0.0017 ips: 29.3981 images/s [10/15 19:32:35] ppdet.engine INFO: Epoch: [186] [100/366] learning_rate: 0.125843 loss_vfl: 0.889951 loss_bbox: 0.311030 loss_dfl: 0.192129 loss: 1.379689 eta: 1 day, 8:16:28 batch_cost: 2.7222 data_cost: 0.0016 ips: 29.3880 images/s [10/15 19:33:32] ppdet.engine INFO: Epoch: [186] [120/366] learning_rate: 0.125737 loss_vfl: 0.895465 loss_bbox: 0.301911 loss_dfl: 0.195542 loss: 1.400541 eta: 1 day, 8:15:31 batch_cost: 2.7136 data_cost: 0.0017 ips: 29.4812 images/s [10/15 19:34:30] ppdet.engine INFO: Epoch: [186] [140/366] learning_rate: 0.125631 loss_vfl: 0.885921 loss_bbox: 0.311545 loss_dfl: 0.194186 loss: 1.385131 eta: 1 day, 8:14:35 batch_cost: 2.7427 data_cost: 0.0016 ips: 29.1688 images/s [10/15 19:35:29] ppdet.engine INFO: Epoch: [186] [160/366] learning_rate: 0.125525 loss_vfl: 0.870110 loss_bbox: 0.297735 loss_dfl: 0.193043 loss: 1.371375 eta: 1 day, 8:13:39 batch_cost: 2.7722 data_cost: 0.0022 ips: 28.8581 images/s [10/15 19:36:27] ppdet.engine INFO: Epoch: [186] [180/366] learning_rate: 0.125418 loss_vfl: 0.883837 loss_bbox: 0.308961 loss_dfl: 0.196042 loss: 1.386965 eta: 1 day, 8:12:42 batch_cost: 2.7648 data_cost: 0.0017 ips: 28.9353 images/s [10/15 19:37:25] ppdet.engine INFO: Epoch: [186] [200/366] learning_rate: 0.125312 loss_vfl: 0.880487 loss_bbox: 0.302799 loss_dfl: 0.192733 loss: 1.388748 eta: 1 day, 8:11:46 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0670 images/s [10/15 19:38:22] ppdet.engine INFO: Epoch: [186] [220/366] learning_rate: 0.125206 loss_vfl: 0.867780 loss_bbox: 0.330822 loss_dfl: 0.202254 loss: 1.406891 eta: 1 day, 8:10:50 batch_cost: 2.7216 data_cost: 0.0027 ips: 29.3942 images/s [10/15 19:39:19] ppdet.engine INFO: Epoch: [186] [240/366] learning_rate: 0.125100 loss_vfl: 0.873555 loss_bbox: 0.316084 loss_dfl: 0.191190 loss: 1.375345 eta: 1 day, 8:09:53 batch_cost: 2.6969 data_cost: 0.0017 ips: 29.6636 images/s [10/15 19:40:16] ppdet.engine INFO: Epoch: [186] [260/366] learning_rate: 0.124994 loss_vfl: 0.882645 loss_bbox: 0.315568 loss_dfl: 0.195501 loss: 1.396054 eta: 1 day, 8:08:56 batch_cost: 2.6954 data_cost: 0.0017 ips: 29.6802 images/s [10/15 19:41:15] ppdet.engine INFO: Epoch: [186] [280/366] learning_rate: 0.124888 loss_vfl: 0.872473 loss_bbox: 0.306493 loss_dfl: 0.192177 loss: 1.382385 eta: 1 day, 8:08:00 batch_cost: 2.7850 data_cost: 0.0017 ips: 28.7249 images/s [10/15 19:42:15] ppdet.engine INFO: Epoch: [186] [300/366] learning_rate: 0.124782 loss_vfl: 0.874635 loss_bbox: 0.300368 loss_dfl: 0.190917 loss: 1.374210 eta: 1 day, 8:07:05 batch_cost: 2.8588 data_cost: 0.0017 ips: 27.9833 images/s [10/15 19:43:15] ppdet.engine INFO: Epoch: [186] [320/366] learning_rate: 0.124676 loss_vfl: 0.883670 loss_bbox: 0.310331 loss_dfl: 0.191536 loss: 1.397447 eta: 1 day, 8:06:09 batch_cost: 2.8268 data_cost: 0.0017 ips: 28.3010 images/s [10/15 19:44:13] ppdet.engine INFO: Epoch: [186] [340/366] learning_rate: 0.124570 loss_vfl: 0.872287 loss_bbox: 0.311350 loss_dfl: 0.193720 loss: 1.385054 eta: 1 day, 8:05:13 batch_cost: 2.7446 data_cost: 0.0016 ips: 29.1480 images/s [10/15 19:45:07] ppdet.engine INFO: Epoch: [186] [360/366] learning_rate: 0.124464 loss_vfl: 0.870522 loss_bbox: 0.316078 loss_dfl: 0.196052 loss: 1.394282 eta: 1 day, 8:04:14 batch_cost: 2.5598 data_cost: 0.0020 ips: 31.2521 images/s [10/15 19:45:44] ppdet.engine INFO: Epoch: [187] [ 0/366] learning_rate: 0.124432 loss_vfl: 0.866824 loss_bbox: 0.319723 loss_dfl: 0.194087 loss: 1.393656 eta: 1 day, 8:04:07 batch_cost: 3.3109 data_cost: 0.5060 ips: 24.1623 images/s [10/15 19:46:45] ppdet.engine INFO: Epoch: [187] [ 20/366] learning_rate: 0.124326 loss_vfl: 0.871552 loss_bbox: 0.319840 loss_dfl: 0.193293 loss: 1.398785 eta: 1 day, 8:03:13 batch_cost: 2.9154 data_cost: 0.0017 ips: 27.4407 images/s [10/15 19:47:45] ppdet.engine INFO: Epoch: [187] [ 40/366] learning_rate: 0.124220 loss_vfl: 0.887455 loss_bbox: 0.322073 loss_dfl: 0.203615 loss: 1.420195 eta: 1 day, 8:02:17 batch_cost: 2.8362 data_cost: 0.0018 ips: 28.2070 images/s [10/15 19:48:43] ppdet.engine INFO: Epoch: [187] [ 60/366] learning_rate: 0.124114 loss_vfl: 0.874013 loss_bbox: 0.304176 loss_dfl: 0.190446 loss: 1.374135 eta: 1 day, 8:01:21 batch_cost: 2.7869 data_cost: 0.0016 ips: 28.7058 images/s [10/15 19:49:41] ppdet.engine INFO: Epoch: [187] [ 80/366] learning_rate: 0.124008 loss_vfl: 0.873876 loss_bbox: 0.298533 loss_dfl: 0.187711 loss: 1.371782 eta: 1 day, 8:00:25 batch_cost: 2.7298 data_cost: 0.0017 ips: 29.3057 images/s [10/15 19:50:40] ppdet.engine INFO: Epoch: [187] [100/366] learning_rate: 0.123902 loss_vfl: 0.876095 loss_bbox: 0.317993 loss_dfl: 0.191734 loss: 1.386057 eta: 1 day, 7:59:29 batch_cost: 2.7867 data_cost: 0.0024 ips: 28.7077 images/s [10/15 19:51:37] ppdet.engine INFO: Epoch: [187] [120/366] learning_rate: 0.123797 loss_vfl: 0.883154 loss_bbox: 0.294146 loss_dfl: 0.188458 loss: 1.359264 eta: 1 day, 7:58:32 batch_cost: 2.7338 data_cost: 0.0017 ips: 29.2635 images/s [10/15 19:52:37] ppdet.engine INFO: Epoch: [187] [140/366] learning_rate: 0.123691 loss_vfl: 0.882588 loss_bbox: 0.298444 loss_dfl: 0.188170 loss: 1.377443 eta: 1 day, 7:57:37 batch_cost: 2.8233 data_cost: 0.0016 ips: 28.3356 images/s [10/15 19:53:36] ppdet.engine INFO: Epoch: [187] [160/366] learning_rate: 0.123585 loss_vfl: 0.876922 loss_bbox: 0.284672 loss_dfl: 0.182339 loss: 1.326260 eta: 1 day, 7:56:41 batch_cost: 2.8091 data_cost: 0.0016 ips: 28.4788 images/s [10/15 19:54:35] ppdet.engine INFO: Epoch: [187] [180/366] learning_rate: 0.123479 loss_vfl: 0.876612 loss_bbox: 0.315259 loss_dfl: 0.195941 loss: 1.397453 eta: 1 day, 7:55:45 batch_cost: 2.7844 data_cost: 0.0017 ips: 28.7320 images/s [10/15 19:55:33] ppdet.engine INFO: Epoch: [187] [200/366] learning_rate: 0.123373 loss_vfl: 0.882145 loss_bbox: 0.310615 loss_dfl: 0.192199 loss: 1.378335 eta: 1 day, 7:54:49 batch_cost: 2.7735 data_cost: 0.0016 ips: 28.8440 images/s [10/15 19:56:30] ppdet.engine INFO: Epoch: [187] [220/366] learning_rate: 0.123268 loss_vfl: 0.876107 loss_bbox: 0.296119 loss_dfl: 0.188576 loss: 1.365415 eta: 1 day, 7:53:52 batch_cost: 2.6775 data_cost: 0.0016 ips: 29.8784 images/s [10/15 19:57:28] ppdet.engine INFO: Epoch: [187] [240/366] learning_rate: 0.123162 loss_vfl: 0.896514 loss_bbox: 0.314263 loss_dfl: 0.194209 loss: 1.415882 eta: 1 day, 7:52:56 batch_cost: 2.7653 data_cost: 0.0016 ips: 28.9294 images/s [10/15 19:58:27] ppdet.engine INFO: Epoch: [187] [260/366] learning_rate: 0.123056 loss_vfl: 0.886329 loss_bbox: 0.295183 loss_dfl: 0.192286 loss: 1.369863 eta: 1 day, 7:52:00 batch_cost: 2.7898 data_cost: 0.0016 ips: 28.6759 images/s [10/15 19:59:26] ppdet.engine INFO: Epoch: [187] [280/366] learning_rate: 0.122951 loss_vfl: 0.886414 loss_bbox: 0.322327 loss_dfl: 0.193829 loss: 1.377259 eta: 1 day, 7:51:05 batch_cost: 2.7980 data_cost: 0.0016 ips: 28.5915 images/s [10/15 20:00:24] ppdet.engine INFO: Epoch: [187] [300/366] learning_rate: 0.122845 loss_vfl: 0.881630 loss_bbox: 0.322158 loss_dfl: 0.201264 loss: 1.399414 eta: 1 day, 7:50:09 batch_cost: 2.7810 data_cost: 0.0016 ips: 28.7670 images/s [10/15 20:01:22] ppdet.engine INFO: Epoch: [187] [320/366] learning_rate: 0.122740 loss_vfl: 0.876240 loss_bbox: 0.306709 loss_dfl: 0.190201 loss: 1.379604 eta: 1 day, 7:49:12 batch_cost: 2.7083 data_cost: 0.0017 ips: 29.5391 images/s [10/15 20:02:20] ppdet.engine INFO: Epoch: [187] [340/366] learning_rate: 0.122634 loss_vfl: 0.879139 loss_bbox: 0.308970 loss_dfl: 0.194285 loss: 1.380814 eta: 1 day, 7:48:16 batch_cost: 2.7691 data_cost: 0.0017 ips: 28.8907 images/s [10/15 20:03:12] ppdet.engine INFO: Epoch: [187] [360/366] learning_rate: 0.122529 loss_vfl: 0.887444 loss_bbox: 0.308802 loss_dfl: 0.195131 loss: 1.386006 eta: 1 day, 7:47:16 batch_cost: 2.4742 data_cost: 0.0017 ips: 32.3343 images/s [10/15 20:03:51] ppdet.engine INFO: Epoch: [188] [ 0/366] learning_rate: 0.122497 loss_vfl: 0.885019 loss_bbox: 0.322524 loss_dfl: 0.197107 loss: 1.398125 eta: 1 day, 7:47:10 batch_cost: 3.3625 data_cost: 0.5340 ips: 23.7919 images/s [10/15 20:04:50] ppdet.engine INFO: Epoch: [188] [ 20/366] learning_rate: 0.122391 loss_vfl: 0.872086 loss_bbox: 0.307541 loss_dfl: 0.196495 loss: 1.398428 eta: 1 day, 7:46:14 batch_cost: 2.7809 data_cost: 0.0016 ips: 28.7677 images/s [10/15 20:05:50] ppdet.engine INFO: Epoch: [188] [ 40/366] learning_rate: 0.122286 loss_vfl: 0.860125 loss_bbox: 0.308785 loss_dfl: 0.189326 loss: 1.374612 eta: 1 day, 7:45:18 batch_cost: 2.8378 data_cost: 0.0016 ips: 28.1913 images/s [10/15 20:06:48] ppdet.engine INFO: Epoch: [188] [ 60/366] learning_rate: 0.122180 loss_vfl: 0.872032 loss_bbox: 0.320107 loss_dfl: 0.196999 loss: 1.377217 eta: 1 day, 7:44:23 batch_cost: 2.7992 data_cost: 0.0016 ips: 28.5795 images/s [10/15 20:07:47] ppdet.engine INFO: Epoch: [188] [ 80/366] learning_rate: 0.122075 loss_vfl: 0.877751 loss_bbox: 0.308020 loss_dfl: 0.188407 loss: 1.387486 eta: 1 day, 7:43:26 batch_cost: 2.7511 data_cost: 0.0017 ips: 29.0797 images/s [10/15 20:08:45] ppdet.engine INFO: Epoch: [188] [100/366] learning_rate: 0.121970 loss_vfl: 0.877690 loss_bbox: 0.283904 loss_dfl: 0.187893 loss: 1.369121 eta: 1 day, 7:42:30 batch_cost: 2.7580 data_cost: 0.0016 ips: 29.0064 images/s [10/15 20:09:42] ppdet.engine INFO: Epoch: [188] [120/366] learning_rate: 0.121864 loss_vfl: 0.870108 loss_bbox: 0.322481 loss_dfl: 0.200953 loss: 1.403424 eta: 1 day, 7:41:33 batch_cost: 2.6977 data_cost: 0.0016 ips: 29.6554 images/s [10/15 20:10:39] ppdet.engine INFO: Epoch: [188] [140/366] learning_rate: 0.121759 loss_vfl: 0.881061 loss_bbox: 0.297970 loss_dfl: 0.186888 loss: 1.388785 eta: 1 day, 7:40:36 batch_cost: 2.7060 data_cost: 0.0016 ips: 29.5642 images/s [10/15 20:11:37] ppdet.engine INFO: Epoch: [188] [160/366] learning_rate: 0.121654 loss_vfl: 0.879332 loss_bbox: 0.305017 loss_dfl: 0.187618 loss: 1.391308 eta: 1 day, 7:39:40 batch_cost: 2.7747 data_cost: 0.0016 ips: 28.8322 images/s [10/15 20:12:35] ppdet.engine INFO: Epoch: [188] [180/366] learning_rate: 0.121548 loss_vfl: 0.870174 loss_bbox: 0.307104 loss_dfl: 0.191352 loss: 1.379780 eta: 1 day, 7:38:44 batch_cost: 2.7475 data_cost: 0.0023 ips: 29.1169 images/s [10/15 20:13:34] ppdet.engine INFO: Epoch: [188] [200/366] learning_rate: 0.121443 loss_vfl: 0.899376 loss_bbox: 0.313333 loss_dfl: 0.187486 loss: 1.404090 eta: 1 day, 7:37:48 batch_cost: 2.8138 data_cost: 0.0023 ips: 28.4310 images/s [10/15 20:14:31] ppdet.engine INFO: Epoch: [188] [220/366] learning_rate: 0.121338 loss_vfl: 0.886471 loss_bbox: 0.295593 loss_dfl: 0.184992 loss: 1.353674 eta: 1 day, 7:36:52 batch_cost: 2.7109 data_cost: 0.0016 ips: 29.5110 images/s [10/15 20:15:29] ppdet.engine INFO: Epoch: [188] [240/366] learning_rate: 0.121233 loss_vfl: 0.887052 loss_bbox: 0.317014 loss_dfl: 0.202103 loss: 1.400405 eta: 1 day, 7:35:55 batch_cost: 2.7176 data_cost: 0.0016 ips: 29.4373 images/s [10/15 20:16:25] ppdet.engine INFO: Epoch: [188] [260/366] learning_rate: 0.121127 loss_vfl: 0.867392 loss_bbox: 0.295259 loss_dfl: 0.186490 loss: 1.361398 eta: 1 day, 7:34:58 batch_cost: 2.6606 data_cost: 0.0016 ips: 30.0686 images/s [10/15 20:17:22] ppdet.engine INFO: Epoch: [188] [280/366] learning_rate: 0.121022 loss_vfl: 0.869635 loss_bbox: 0.306167 loss_dfl: 0.197488 loss: 1.381857 eta: 1 day, 7:34:01 batch_cost: 2.7102 data_cost: 0.0016 ips: 29.5180 images/s [10/15 20:18:20] ppdet.engine INFO: Epoch: [188] [300/366] learning_rate: 0.120917 loss_vfl: 0.877754 loss_bbox: 0.304111 loss_dfl: 0.192015 loss: 1.383191 eta: 1 day, 7:33:04 batch_cost: 2.7414 data_cost: 0.0016 ips: 29.1823 images/s [10/15 20:19:18] ppdet.engine INFO: Epoch: [188] [320/366] learning_rate: 0.120812 loss_vfl: 0.877897 loss_bbox: 0.320161 loss_dfl: 0.196524 loss: 1.394815 eta: 1 day, 7:32:08 batch_cost: 2.7282 data_cost: 0.0016 ips: 29.3232 images/s [10/15 20:20:17] ppdet.engine INFO: Epoch: [188] [340/366] learning_rate: 0.120707 loss_vfl: 0.878459 loss_bbox: 0.316314 loss_dfl: 0.193322 loss: 1.396698 eta: 1 day, 7:31:12 batch_cost: 2.8240 data_cost: 0.0023 ips: 28.3285 images/s [10/15 20:21:13] ppdet.engine INFO: Epoch: [188] [360/366] learning_rate: 0.120602 loss_vfl: 0.869231 loss_bbox: 0.300344 loss_dfl: 0.186100 loss: 1.355572 eta: 1 day, 7:30:14 batch_cost: 2.6080 data_cost: 0.0022 ips: 30.6751 images/s [10/15 20:21:54] ppdet.engine INFO: Epoch: [189] [ 0/366] learning_rate: 0.120570 loss_vfl: 0.862805 loss_bbox: 0.304098 loss_dfl: 0.187027 loss: 1.361684 eta: 1 day, 7:30:09 batch_cost: 3.5767 data_cost: 0.2833 ips: 22.3670 images/s [10/15 20:22:53] ppdet.engine INFO: Epoch: [189] [ 20/366] learning_rate: 0.120465 loss_vfl: 0.854111 loss_bbox: 0.308590 loss_dfl: 0.194054 loss: 1.373798 eta: 1 day, 7:29:14 batch_cost: 2.8211 data_cost: 0.0019 ips: 28.3574 images/s [10/15 20:23:52] ppdet.engine INFO: Epoch: [189] [ 40/366] learning_rate: 0.120360 loss_vfl: 0.879789 loss_bbox: 0.315980 loss_dfl: 0.191173 loss: 1.377976 eta: 1 day, 7:28:18 batch_cost: 2.7972 data_cost: 0.0017 ips: 28.6004 images/s [10/15 20:24:52] ppdet.engine INFO: Epoch: [189] [ 60/366] learning_rate: 0.120255 loss_vfl: 0.869275 loss_bbox: 0.321356 loss_dfl: 0.192056 loss: 1.383503 eta: 1 day, 7:27:23 batch_cost: 2.8452 data_cost: 0.0022 ips: 28.1173 images/s [10/15 20:25:51] ppdet.engine INFO: Epoch: [189] [ 80/366] learning_rate: 0.120150 loss_vfl: 0.897603 loss_bbox: 0.296917 loss_dfl: 0.189306 loss: 1.375497 eta: 1 day, 7:26:27 batch_cost: 2.8244 data_cost: 0.0016 ips: 28.3243 images/s [10/15 20:26:48] ppdet.engine INFO: Epoch: [189] [100/366] learning_rate: 0.120046 loss_vfl: 0.851311 loss_bbox: 0.311010 loss_dfl: 0.193756 loss: 1.378475 eta: 1 day, 7:25:30 batch_cost: 2.7101 data_cost: 0.0017 ips: 29.5193 images/s [10/15 20:27:47] ppdet.engine INFO: Epoch: [189] [120/366] learning_rate: 0.119941 loss_vfl: 0.874680 loss_bbox: 0.316419 loss_dfl: 0.200817 loss: 1.399678 eta: 1 day, 7:24:35 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6354 images/s [10/15 20:28:45] ppdet.engine INFO: Epoch: [189] [140/366] learning_rate: 0.119836 loss_vfl: 0.883932 loss_bbox: 0.300534 loss_dfl: 0.194557 loss: 1.380069 eta: 1 day, 7:23:38 batch_cost: 2.7424 data_cost: 0.0016 ips: 29.1712 images/s [10/15 20:29:44] ppdet.engine INFO: Epoch: [189] [160/366] learning_rate: 0.119731 loss_vfl: 0.884920 loss_bbox: 0.296800 loss_dfl: 0.186341 loss: 1.376089 eta: 1 day, 7:22:43 batch_cost: 2.8000 data_cost: 0.0038 ips: 28.5711 images/s [10/15 20:30:43] ppdet.engine INFO: Epoch: [189] [180/366] learning_rate: 0.119626 loss_vfl: 0.874819 loss_bbox: 0.316052 loss_dfl: 0.194458 loss: 1.388595 eta: 1 day, 7:21:47 batch_cost: 2.8000 data_cost: 0.0018 ips: 28.5717 images/s [10/15 20:31:40] ppdet.engine INFO: Epoch: [189] [200/366] learning_rate: 0.119521 loss_vfl: 0.892637 loss_bbox: 0.270347 loss_dfl: 0.180069 loss: 1.347484 eta: 1 day, 7:20:50 batch_cost: 2.7065 data_cost: 0.0017 ips: 29.5580 images/s [10/15 20:32:40] ppdet.engine INFO: Epoch: [189] [220/366] learning_rate: 0.119417 loss_vfl: 0.878224 loss_bbox: 0.320020 loss_dfl: 0.197309 loss: 1.421306 eta: 1 day, 7:19:55 batch_cost: 2.8345 data_cost: 0.0017 ips: 28.2232 images/s [10/15 20:33:39] ppdet.engine INFO: Epoch: [189] [240/366] learning_rate: 0.119312 loss_vfl: 0.879791 loss_bbox: 0.320933 loss_dfl: 0.195913 loss: 1.403148 eta: 1 day, 7:18:59 batch_cost: 2.8234 data_cost: 0.0018 ips: 28.3350 images/s [10/15 20:34:37] ppdet.engine INFO: Epoch: [189] [260/366] learning_rate: 0.119207 loss_vfl: 0.873866 loss_bbox: 0.315815 loss_dfl: 0.195352 loss: 1.389030 eta: 1 day, 7:18:03 batch_cost: 2.7481 data_cost: 0.0016 ips: 29.1105 images/s [10/15 20:35:36] ppdet.engine INFO: Epoch: [189] [280/366] learning_rate: 0.119102 loss_vfl: 0.874535 loss_bbox: 0.317893 loss_dfl: 0.197082 loss: 1.398135 eta: 1 day, 7:17:07 batch_cost: 2.7705 data_cost: 0.0017 ips: 28.8757 images/s [10/15 20:36:35] ppdet.engine INFO: Epoch: [189] [300/366] learning_rate: 0.118998 loss_vfl: 0.892936 loss_bbox: 0.301188 loss_dfl: 0.191343 loss: 1.378885 eta: 1 day, 7:16:11 batch_cost: 2.8071 data_cost: 0.0017 ips: 28.4992 images/s [10/15 20:37:33] ppdet.engine INFO: Epoch: [189] [320/366] learning_rate: 0.118893 loss_vfl: 0.881663 loss_bbox: 0.295865 loss_dfl: 0.186369 loss: 1.370068 eta: 1 day, 7:15:15 batch_cost: 2.7596 data_cost: 0.0017 ips: 28.9901 images/s [10/15 20:38:31] ppdet.engine INFO: Epoch: [189] [340/366] learning_rate: 0.118789 loss_vfl: 0.887497 loss_bbox: 0.317447 loss_dfl: 0.196190 loss: 1.398570 eta: 1 day, 7:14:19 batch_cost: 2.7592 data_cost: 0.0016 ips: 28.9937 images/s [10/15 20:39:26] ppdet.engine INFO: Epoch: [189] [360/366] learning_rate: 0.118684 loss_vfl: 0.876477 loss_bbox: 0.314722 loss_dfl: 0.194223 loss: 1.390952 eta: 1 day, 7:13:21 batch_cost: 2.5849 data_cost: 0.0018 ips: 30.9490 images/s [10/15 20:39:43] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 20:39:44] ppdet.engine INFO: Eval iter: 0 [10/15 20:40:23] ppdet.engine INFO: Eval iter: 100 [10/15 20:40:47] ppdet.engine INFO: Eval iter: 200 [10/15 20:41:10] ppdet.engine INFO: Eval iter: 300 [10/15 20:41:34] ppdet.engine INFO: Eval iter: 400 [10/15 20:41:58] ppdet.engine INFO: Eval iter: 500 [10/15 20:42:21] ppdet.engine INFO: Eval iter: 600 [10/15 20:42:42] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/15 20:42:43] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.67s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.44s). Accumulating evaluation results... DONE (t=17.51s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.300 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.446 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.106 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.492 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.431 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.460 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.189 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706 [10/15 20:44:46] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.18543736423871 [10/15 20:44:46] ppdet.engine INFO: Best test bbox ap is 0.300. [10/15 20:44:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 20:44:49] ppdet.engine INFO: Epoch: [190] [ 0/366] learning_rate: 0.118653 loss_vfl: 0.870744 loss_bbox: 0.309420 loss_dfl: 0.193155 loss: 1.371068 eta: 1 day, 7:13:02 batch_cost: 2.4196 data_cost: 0.0018 ips: 33.0639 images/s [10/15 20:45:48] ppdet.engine INFO: Epoch: [190] [ 20/366] learning_rate: 0.118548 loss_vfl: 0.889623 loss_bbox: 0.293927 loss_dfl: 0.189914 loss: 1.371151 eta: 1 day, 7:12:07 batch_cost: 2.8159 data_cost: 0.0018 ips: 28.4100 images/s [10/15 20:46:47] ppdet.engine INFO: Epoch: [190] [ 40/366] learning_rate: 0.118444 loss_vfl: 0.869640 loss_bbox: 0.308721 loss_dfl: 0.189650 loss: 1.364916 eta: 1 day, 7:11:11 batch_cost: 2.7923 data_cost: 0.0017 ips: 28.6503 images/s [10/15 20:47:46] ppdet.engine INFO: Epoch: [190] [ 60/366] learning_rate: 0.118339 loss_vfl: 0.872360 loss_bbox: 0.305758 loss_dfl: 0.188334 loss: 1.347572 eta: 1 day, 7:10:15 batch_cost: 2.8121 data_cost: 0.0017 ips: 28.4489 images/s [10/15 20:48:47] ppdet.engine INFO: Epoch: [190] [ 80/366] learning_rate: 0.118235 loss_vfl: 0.873087 loss_bbox: 0.317259 loss_dfl: 0.192275 loss: 1.370124 eta: 1 day, 7:09:21 batch_cost: 2.9046 data_cost: 0.0017 ips: 27.5429 images/s [10/15 20:49:46] ppdet.engine INFO: Epoch: [190] [100/366] learning_rate: 0.118130 loss_vfl: 0.877332 loss_bbox: 0.303726 loss_dfl: 0.192441 loss: 1.361116 eta: 1 day, 7:08:25 batch_cost: 2.8180 data_cost: 0.0017 ips: 28.3893 images/s [10/15 20:50:47] ppdet.engine INFO: Epoch: [190] [120/366] learning_rate: 0.118026 loss_vfl: 0.862035 loss_bbox: 0.309349 loss_dfl: 0.196819 loss: 1.388039 eta: 1 day, 7:07:30 batch_cost: 2.8664 data_cost: 0.0016 ips: 27.9097 images/s [10/15 20:51:45] ppdet.engine INFO: Epoch: [190] [140/366] learning_rate: 0.117921 loss_vfl: 0.877221 loss_bbox: 0.316534 loss_dfl: 0.198157 loss: 1.385201 eta: 1 day, 7:06:34 batch_cost: 2.7718 data_cost: 0.0016 ips: 28.8618 images/s [10/15 20:52:42] ppdet.engine INFO: Epoch: [190] [160/366] learning_rate: 0.117817 loss_vfl: 0.868601 loss_bbox: 0.313336 loss_dfl: 0.189375 loss: 1.367016 eta: 1 day, 7:05:37 batch_cost: 2.6922 data_cost: 0.0016 ips: 29.7159 images/s [10/15 20:53:40] ppdet.engine INFO: Epoch: [190] [180/366] learning_rate: 0.117713 loss_vfl: 0.882325 loss_bbox: 0.298886 loss_dfl: 0.188892 loss: 1.366706 eta: 1 day, 7:04:41 batch_cost: 2.7248 data_cost: 0.0016 ips: 29.3604 images/s [10/15 20:54:38] ppdet.engine INFO: Epoch: [190] [200/366] learning_rate: 0.117608 loss_vfl: 0.881006 loss_bbox: 0.305837 loss_dfl: 0.186859 loss: 1.387783 eta: 1 day, 7:03:44 batch_cost: 2.7729 data_cost: 0.0016 ips: 28.8511 images/s [10/15 20:55:35] ppdet.engine INFO: Epoch: [190] [220/366] learning_rate: 0.117504 loss_vfl: 0.880718 loss_bbox: 0.294322 loss_dfl: 0.188161 loss: 1.382079 eta: 1 day, 7:02:48 batch_cost: 2.7214 data_cost: 0.0016 ips: 29.3968 images/s [10/15 20:56:32] ppdet.engine INFO: Epoch: [190] [240/366] learning_rate: 0.117400 loss_vfl: 0.880478 loss_bbox: 0.311059 loss_dfl: 0.199454 loss: 1.384303 eta: 1 day, 7:01:51 batch_cost: 2.6818 data_cost: 0.0016 ips: 29.8304 images/s [10/15 20:57:30] ppdet.engine INFO: Epoch: [190] [260/366] learning_rate: 0.117296 loss_vfl: 0.863870 loss_bbox: 0.309819 loss_dfl: 0.190790 loss: 1.364157 eta: 1 day, 7:00:54 batch_cost: 2.7536 data_cost: 0.0020 ips: 29.0525 images/s [10/15 20:58:29] ppdet.engine INFO: Epoch: [190] [280/366] learning_rate: 0.117192 loss_vfl: 0.880019 loss_bbox: 0.301170 loss_dfl: 0.190019 loss: 1.374433 eta: 1 day, 6:59:59 batch_cost: 2.7907 data_cost: 0.0017 ips: 28.6662 images/s [10/15 20:59:27] ppdet.engine INFO: Epoch: [190] [300/366] learning_rate: 0.117087 loss_vfl: 0.875901 loss_bbox: 0.301975 loss_dfl: 0.188655 loss: 1.374280 eta: 1 day, 6:59:02 batch_cost: 2.7502 data_cost: 0.0016 ips: 29.0890 images/s [10/15 21:00:26] ppdet.engine INFO: Epoch: [190] [320/366] learning_rate: 0.116983 loss_vfl: 0.862399 loss_bbox: 0.311342 loss_dfl: 0.196329 loss: 1.380516 eta: 1 day, 6:58:07 batch_cost: 2.8025 data_cost: 0.0017 ips: 28.5459 images/s [10/15 21:01:24] ppdet.engine INFO: Epoch: [190] [340/366] learning_rate: 0.116879 loss_vfl: 0.872556 loss_bbox: 0.284285 loss_dfl: 0.184581 loss: 1.347553 eta: 1 day, 6:57:10 batch_cost: 2.7506 data_cost: 0.0030 ips: 29.0846 images/s [10/15 21:02:16] ppdet.engine INFO: Epoch: [190] [360/366] learning_rate: 0.116775 loss_vfl: 0.892324 loss_bbox: 0.322247 loss_dfl: 0.201484 loss: 1.400891 eta: 1 day, 6:56:11 batch_cost: 2.4731 data_cost: 0.0017 ips: 32.3483 images/s [10/15 21:02:54] ppdet.engine INFO: Epoch: [191] [ 0/366] learning_rate: 0.116744 loss_vfl: 0.880347 loss_bbox: 0.318539 loss_dfl: 0.200789 loss: 1.400891 eta: 1 day, 6:56:03 batch_cost: 3.3195 data_cost: 0.2372 ips: 24.0999 images/s [10/15 21:03:53] ppdet.engine INFO: Epoch: [191] [ 20/366] learning_rate: 0.116640 loss_vfl: 0.879549 loss_bbox: 0.320530 loss_dfl: 0.195285 loss: 1.398253 eta: 1 day, 6:55:07 batch_cost: 2.7865 data_cost: 0.0025 ips: 28.7100 images/s [10/15 21:04:52] ppdet.engine INFO: Epoch: [191] [ 40/366] learning_rate: 0.116536 loss_vfl: 0.876261 loss_bbox: 0.293729 loss_dfl: 0.186190 loss: 1.355479 eta: 1 day, 6:54:12 batch_cost: 2.7937 data_cost: 0.0025 ips: 28.6361 images/s [10/15 21:05:49] ppdet.engine INFO: Epoch: [191] [ 60/366] learning_rate: 0.116432 loss_vfl: 0.877211 loss_bbox: 0.319983 loss_dfl: 0.199118 loss: 1.398078 eta: 1 day, 6:53:15 batch_cost: 2.7282 data_cost: 0.0018 ips: 29.3238 images/s [10/15 21:06:47] ppdet.engine INFO: Epoch: [191] [ 80/366] learning_rate: 0.116328 loss_vfl: 0.875235 loss_bbox: 0.326227 loss_dfl: 0.197638 loss: 1.392399 eta: 1 day, 6:52:19 batch_cost: 2.7572 data_cost: 0.0016 ips: 29.0151 images/s [10/15 21:07:46] ppdet.engine INFO: Epoch: [191] [100/366] learning_rate: 0.116224 loss_vfl: 0.873698 loss_bbox: 0.308266 loss_dfl: 0.191887 loss: 1.374993 eta: 1 day, 6:51:23 batch_cost: 2.8143 data_cost: 0.0017 ips: 28.4258 images/s [10/15 21:08:45] ppdet.engine INFO: Epoch: [191] [120/366] learning_rate: 0.116120 loss_vfl: 0.874887 loss_bbox: 0.313374 loss_dfl: 0.195884 loss: 1.404167 eta: 1 day, 6:50:27 batch_cost: 2.7871 data_cost: 0.0016 ips: 28.7034 images/s [10/15 21:09:44] ppdet.engine INFO: Epoch: [191] [140/366] learning_rate: 0.116016 loss_vfl: 0.854978 loss_bbox: 0.297208 loss_dfl: 0.187881 loss: 1.359633 eta: 1 day, 6:49:32 batch_cost: 2.7886 data_cost: 0.0016 ips: 28.6884 images/s [10/15 21:10:43] ppdet.engine INFO: Epoch: [191] [160/366] learning_rate: 0.115912 loss_vfl: 0.877211 loss_bbox: 0.318507 loss_dfl: 0.203353 loss: 1.387330 eta: 1 day, 6:48:36 batch_cost: 2.8161 data_cost: 0.0034 ips: 28.4081 images/s [10/15 21:11:40] ppdet.engine INFO: Epoch: [191] [180/366] learning_rate: 0.115808 loss_vfl: 0.888047 loss_bbox: 0.294799 loss_dfl: 0.192744 loss: 1.363670 eta: 1 day, 6:47:39 batch_cost: 2.6928 data_cost: 0.0017 ips: 29.7088 images/s [10/15 21:12:39] ppdet.engine INFO: Epoch: [191] [200/366] learning_rate: 0.115705 loss_vfl: 0.869589 loss_bbox: 0.301396 loss_dfl: 0.187104 loss: 1.371048 eta: 1 day, 6:46:44 batch_cost: 2.8142 data_cost: 0.0017 ips: 28.4270 images/s [10/15 21:13:38] ppdet.engine INFO: Epoch: [191] [220/366] learning_rate: 0.115601 loss_vfl: 0.874095 loss_bbox: 0.298282 loss_dfl: 0.190271 loss: 1.377306 eta: 1 day, 6:45:48 batch_cost: 2.8003 data_cost: 0.0016 ips: 28.5684 images/s [10/15 21:14:37] ppdet.engine INFO: Epoch: [191] [240/366] learning_rate: 0.115497 loss_vfl: 0.871543 loss_bbox: 0.312919 loss_dfl: 0.196444 loss: 1.385203 eta: 1 day, 6:44:52 batch_cost: 2.8032 data_cost: 0.0023 ips: 28.5386 images/s [10/15 21:15:35] ppdet.engine INFO: Epoch: [191] [260/366] learning_rate: 0.115393 loss_vfl: 0.888132 loss_bbox: 0.314747 loss_dfl: 0.198502 loss: 1.398884 eta: 1 day, 6:43:56 batch_cost: 2.7907 data_cost: 0.0017 ips: 28.6671 images/s [10/15 21:16:34] ppdet.engine INFO: Epoch: [191] [280/366] learning_rate: 0.115290 loss_vfl: 0.887515 loss_bbox: 0.300380 loss_dfl: 0.186866 loss: 1.382203 eta: 1 day, 6:43:00 batch_cost: 2.7782 data_cost: 0.0016 ips: 28.7953 images/s [10/15 21:17:33] ppdet.engine INFO: Epoch: [191] [300/366] learning_rate: 0.115186 loss_vfl: 0.885817 loss_bbox: 0.306517 loss_dfl: 0.187906 loss: 1.374208 eta: 1 day, 6:42:05 batch_cost: 2.7962 data_cost: 0.0018 ips: 28.6104 images/s [10/15 21:18:32] ppdet.engine INFO: Epoch: [191] [320/366] learning_rate: 0.115082 loss_vfl: 0.878368 loss_bbox: 0.305274 loss_dfl: 0.188538 loss: 1.374417 eta: 1 day, 6:41:09 batch_cost: 2.8084 data_cost: 0.0016 ips: 28.4856 images/s [10/15 21:19:30] ppdet.engine INFO: Epoch: [191] [340/366] learning_rate: 0.114979 loss_vfl: 0.871835 loss_bbox: 0.312583 loss_dfl: 0.188159 loss: 1.391922 eta: 1 day, 6:40:13 batch_cost: 2.7550 data_cost: 0.0023 ips: 29.0382 images/s [10/15 21:20:24] ppdet.engine INFO: Epoch: [191] [360/366] learning_rate: 0.114875 loss_vfl: 0.880591 loss_bbox: 0.299549 loss_dfl: 0.189194 loss: 1.369908 eta: 1 day, 6:39:14 batch_cost: 2.5750 data_cost: 0.0016 ips: 31.0675 images/s [10/15 21:21:02] ppdet.engine INFO: Epoch: [192] [ 0/366] learning_rate: 0.114844 loss_vfl: 0.877378 loss_bbox: 0.294574 loss_dfl: 0.184770 loss: 1.369908 eta: 1 day, 6:39:07 batch_cost: 3.3883 data_cost: 0.4703 ips: 23.6105 images/s [10/15 21:22:01] ppdet.engine INFO: Epoch: [192] [ 20/366] learning_rate: 0.114741 loss_vfl: 0.871648 loss_bbox: 0.320605 loss_dfl: 0.196518 loss: 1.371779 eta: 1 day, 6:38:11 batch_cost: 2.7926 data_cost: 0.0017 ips: 28.6475 images/s [10/15 21:22:59] ppdet.engine INFO: Epoch: [192] [ 40/366] learning_rate: 0.114637 loss_vfl: 0.866079 loss_bbox: 0.318648 loss_dfl: 0.198712 loss: 1.381154 eta: 1 day, 6:37:15 batch_cost: 2.7566 data_cost: 0.0017 ips: 29.0217 images/s [10/15 21:23:57] ppdet.engine INFO: Epoch: [192] [ 60/366] learning_rate: 0.114534 loss_vfl: 0.879553 loss_bbox: 0.308225 loss_dfl: 0.195218 loss: 1.372767 eta: 1 day, 6:36:18 batch_cost: 2.7208 data_cost: 0.0017 ips: 29.4036 images/s [10/15 21:24:54] ppdet.engine INFO: Epoch: [192] [ 80/366] learning_rate: 0.114430 loss_vfl: 0.879015 loss_bbox: 0.321135 loss_dfl: 0.197808 loss: 1.392362 eta: 1 day, 6:35:21 batch_cost: 2.7393 data_cost: 0.0017 ips: 29.2043 images/s [10/15 21:25:52] ppdet.engine INFO: Epoch: [192] [100/366] learning_rate: 0.114327 loss_vfl: 0.886459 loss_bbox: 0.300187 loss_dfl: 0.186402 loss: 1.362910 eta: 1 day, 6:34:25 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0045 images/s [10/15 21:26:51] ppdet.engine INFO: Epoch: [192] [120/366] learning_rate: 0.114223 loss_vfl: 0.869148 loss_bbox: 0.327738 loss_dfl: 0.198171 loss: 1.396870 eta: 1 day, 6:33:29 batch_cost: 2.7651 data_cost: 0.0017 ips: 28.9322 images/s [10/15 21:27:49] ppdet.engine INFO: Epoch: [192] [140/366] learning_rate: 0.114120 loss_vfl: 0.883375 loss_bbox: 0.303783 loss_dfl: 0.191410 loss: 1.377551 eta: 1 day, 6:32:33 batch_cost: 2.7403 data_cost: 0.0017 ips: 29.1941 images/s [10/15 21:28:48] ppdet.engine INFO: Epoch: [192] [160/366] learning_rate: 0.114017 loss_vfl: 0.874336 loss_bbox: 0.289353 loss_dfl: 0.187520 loss: 1.365265 eta: 1 day, 6:31:37 batch_cost: 2.8306 data_cost: 0.0017 ips: 28.2630 images/s [10/15 21:29:45] ppdet.engine INFO: Epoch: [192] [180/366] learning_rate: 0.113913 loss_vfl: 0.875844 loss_bbox: 0.300777 loss_dfl: 0.186979 loss: 1.358155 eta: 1 day, 6:30:40 batch_cost: 2.6858 data_cost: 0.0016 ips: 29.7859 images/s [10/15 21:30:43] ppdet.engine INFO: Epoch: [192] [200/366] learning_rate: 0.113810 loss_vfl: 0.879999 loss_bbox: 0.315697 loss_dfl: 0.199178 loss: 1.395486 eta: 1 day, 6:29:44 batch_cost: 2.7300 data_cost: 0.0017 ips: 29.3043 images/s [10/15 21:31:40] ppdet.engine INFO: Epoch: [192] [220/366] learning_rate: 0.113707 loss_vfl: 0.862970 loss_bbox: 0.316456 loss_dfl: 0.193731 loss: 1.370252 eta: 1 day, 6:28:47 batch_cost: 2.7241 data_cost: 0.0016 ips: 29.3673 images/s [10/15 21:32:38] ppdet.engine INFO: Epoch: [192] [240/366] learning_rate: 0.113603 loss_vfl: 0.855724 loss_bbox: 0.312347 loss_dfl: 0.194121 loss: 1.369806 eta: 1 day, 6:27:51 batch_cost: 2.7561 data_cost: 0.0016 ips: 29.0266 images/s [10/15 21:33:37] ppdet.engine INFO: Epoch: [192] [260/366] learning_rate: 0.113500 loss_vfl: 0.878587 loss_bbox: 0.316158 loss_dfl: 0.196338 loss: 1.396202 eta: 1 day, 6:26:55 batch_cost: 2.7426 data_cost: 0.0017 ips: 29.1690 images/s [10/15 21:34:35] ppdet.engine INFO: Epoch: [192] [280/366] learning_rate: 0.113397 loss_vfl: 0.881622 loss_bbox: 0.319607 loss_dfl: 0.196889 loss: 1.387993 eta: 1 day, 6:25:58 batch_cost: 2.7459 data_cost: 0.0017 ips: 29.1345 images/s [10/15 21:35:32] ppdet.engine INFO: Epoch: [192] [300/366] learning_rate: 0.113294 loss_vfl: 0.873067 loss_bbox: 0.310536 loss_dfl: 0.197033 loss: 1.382036 eta: 1 day, 6:25:02 batch_cost: 2.7114 data_cost: 0.0024 ips: 29.5051 images/s [10/15 21:36:30] ppdet.engine INFO: Epoch: [192] [320/366] learning_rate: 0.113191 loss_vfl: 0.882370 loss_bbox: 0.315791 loss_dfl: 0.194350 loss: 1.403838 eta: 1 day, 6:24:05 batch_cost: 2.7536 data_cost: 0.0016 ips: 29.0530 images/s [10/15 21:37:28] ppdet.engine INFO: Epoch: [192] [340/366] learning_rate: 0.113088 loss_vfl: 0.856970 loss_bbox: 0.312698 loss_dfl: 0.197598 loss: 1.380306 eta: 1 day, 6:23:09 batch_cost: 2.7418 data_cost: 0.0016 ips: 29.1777 images/s [10/15 21:38:23] ppdet.engine INFO: Epoch: [192] [360/366] learning_rate: 0.112985 loss_vfl: 0.872113 loss_bbox: 0.310573 loss_dfl: 0.193898 loss: 1.392836 eta: 1 day, 6:22:11 batch_cost: 2.5840 data_cost: 0.0023 ips: 30.9603 images/s [10/15 21:39:03] ppdet.engine INFO: Epoch: [193] [ 0/366] learning_rate: 0.112954 loss_vfl: 0.868791 loss_bbox: 0.311625 loss_dfl: 0.192361 loss: 1.378332 eta: 1 day, 6:22:04 batch_cost: 3.5313 data_cost: 0.4076 ips: 22.6548 images/s [10/15 21:40:04] ppdet.engine INFO: Epoch: [193] [ 20/366] learning_rate: 0.112851 loss_vfl: 0.879006 loss_bbox: 0.315605 loss_dfl: 0.195620 loss: 1.386081 eta: 1 day, 6:21:10 batch_cost: 2.8734 data_cost: 0.0019 ips: 27.8415 images/s [10/15 21:41:03] ppdet.engine INFO: Epoch: [193] [ 40/366] learning_rate: 0.112748 loss_vfl: 0.850517 loss_bbox: 0.310474 loss_dfl: 0.193937 loss: 1.355020 eta: 1 day, 6:20:14 batch_cost: 2.8068 data_cost: 0.0026 ips: 28.5024 images/s [10/15 21:42:01] ppdet.engine INFO: Epoch: [193] [ 60/366] learning_rate: 0.112645 loss_vfl: 0.889269 loss_bbox: 0.296084 loss_dfl: 0.186852 loss: 1.375842 eta: 1 day, 6:19:18 batch_cost: 2.7527 data_cost: 0.0017 ips: 29.0623 images/s [10/15 21:42:58] ppdet.engine INFO: Epoch: [193] [ 80/366] learning_rate: 0.112542 loss_vfl: 0.871828 loss_bbox: 0.307947 loss_dfl: 0.193208 loss: 1.377714 eta: 1 day, 6:18:21 batch_cost: 2.7073 data_cost: 0.0016 ips: 29.5499 images/s [10/15 21:43:56] ppdet.engine INFO: Epoch: [193] [100/366] learning_rate: 0.112439 loss_vfl: 0.888724 loss_bbox: 0.301986 loss_dfl: 0.192143 loss: 1.394786 eta: 1 day, 6:17:24 batch_cost: 2.7348 data_cost: 0.0029 ips: 29.2525 images/s [10/15 21:44:54] ppdet.engine INFO: Epoch: [193] [120/366] learning_rate: 0.112336 loss_vfl: 0.865191 loss_bbox: 0.309235 loss_dfl: 0.191249 loss: 1.371099 eta: 1 day, 6:16:28 batch_cost: 2.7614 data_cost: 0.0016 ips: 28.9704 images/s [10/15 21:45:53] ppdet.engine INFO: Epoch: [193] [140/366] learning_rate: 0.112233 loss_vfl: 0.888375 loss_bbox: 0.316055 loss_dfl: 0.194364 loss: 1.392403 eta: 1 day, 6:15:32 batch_cost: 2.7699 data_cost: 0.0017 ips: 28.8823 images/s [10/15 21:46:52] ppdet.engine INFO: Epoch: [193] [160/366] learning_rate: 0.112130 loss_vfl: 0.880826 loss_bbox: 0.300624 loss_dfl: 0.189843 loss: 1.382079 eta: 1 day, 6:14:37 batch_cost: 2.8335 data_cost: 0.0023 ips: 28.2335 images/s [10/15 21:47:51] ppdet.engine INFO: Epoch: [193] [180/366] learning_rate: 0.112028 loss_vfl: 0.876386 loss_bbox: 0.299377 loss_dfl: 0.188637 loss: 1.376565 eta: 1 day, 6:13:41 batch_cost: 2.8114 data_cost: 0.0016 ips: 28.4560 images/s [10/15 21:48:49] ppdet.engine INFO: Epoch: [193] [200/366] learning_rate: 0.111925 loss_vfl: 0.875020 loss_bbox: 0.300669 loss_dfl: 0.188167 loss: 1.368216 eta: 1 day, 6:12:45 batch_cost: 2.7467 data_cost: 0.0025 ips: 29.1256 images/s [10/15 21:49:47] ppdet.engine INFO: Epoch: [193] [220/366] learning_rate: 0.111822 loss_vfl: 0.849444 loss_bbox: 0.324299 loss_dfl: 0.201080 loss: 1.385335 eta: 1 day, 6:11:48 batch_cost: 2.7367 data_cost: 0.0019 ips: 29.2323 images/s [10/15 21:50:46] ppdet.engine INFO: Epoch: [193] [240/366] learning_rate: 0.111719 loss_vfl: 0.868281 loss_bbox: 0.324606 loss_dfl: 0.198209 loss: 1.384212 eta: 1 day, 6:10:52 batch_cost: 2.7858 data_cost: 0.0023 ips: 28.7167 images/s [10/15 21:51:44] ppdet.engine INFO: Epoch: [193] [260/366] learning_rate: 0.111617 loss_vfl: 0.867773 loss_bbox: 0.319747 loss_dfl: 0.197111 loss: 1.373621 eta: 1 day, 6:09:56 batch_cost: 2.7397 data_cost: 0.0016 ips: 29.2005 images/s [10/15 21:52:41] ppdet.engine INFO: Epoch: [193] [280/366] learning_rate: 0.111514 loss_vfl: 0.882327 loss_bbox: 0.302474 loss_dfl: 0.195395 loss: 1.368242 eta: 1 day, 6:09:00 batch_cost: 2.7217 data_cost: 0.0018 ips: 29.3934 images/s [10/15 21:53:37] ppdet.engine INFO: Epoch: [193] [300/366] learning_rate: 0.111411 loss_vfl: 0.862703 loss_bbox: 0.319016 loss_dfl: 0.199533 loss: 1.378736 eta: 1 day, 6:08:02 batch_cost: 2.6656 data_cost: 0.0018 ips: 30.0122 images/s [10/15 21:54:35] ppdet.engine INFO: Epoch: [193] [320/366] learning_rate: 0.111309 loss_vfl: 0.872995 loss_bbox: 0.297596 loss_dfl: 0.191846 loss: 1.374361 eta: 1 day, 6:07:06 batch_cost: 2.7168 data_cost: 0.0016 ips: 29.4465 images/s [10/15 21:55:33] ppdet.engine INFO: Epoch: [193] [340/366] learning_rate: 0.111206 loss_vfl: 0.885448 loss_bbox: 0.297841 loss_dfl: 0.194851 loss: 1.379263 eta: 1 day, 6:06:09 batch_cost: 2.7441 data_cost: 0.0017 ips: 29.1535 images/s [10/15 21:56:27] ppdet.engine INFO: Epoch: [193] [360/366] learning_rate: 0.111104 loss_vfl: 0.893767 loss_bbox: 0.310844 loss_dfl: 0.189535 loss: 1.382313 eta: 1 day, 6:05:11 batch_cost: 2.5792 data_cost: 0.0016 ips: 31.0172 images/s [10/15 21:57:07] ppdet.engine INFO: Epoch: [194] [ 0/366] learning_rate: 0.111073 loss_vfl: 0.892258 loss_bbox: 0.310720 loss_dfl: 0.190357 loss: 1.391475 eta: 1 day, 6:05:05 batch_cost: 3.5067 data_cost: 0.3896 ips: 22.8133 images/s [10/15 21:58:09] ppdet.engine INFO: Epoch: [194] [ 20/366] learning_rate: 0.110970 loss_vfl: 0.875987 loss_bbox: 0.312563 loss_dfl: 0.193315 loss: 1.368111 eta: 1 day, 6:04:10 batch_cost: 2.9327 data_cost: 0.0019 ips: 27.2786 images/s [10/15 21:59:07] ppdet.engine INFO: Epoch: [194] [ 40/366] learning_rate: 0.110868 loss_vfl: 0.869503 loss_bbox: 0.293063 loss_dfl: 0.186669 loss: 1.352488 eta: 1 day, 6:03:14 batch_cost: 2.7573 data_cost: 0.0017 ips: 29.0142 images/s [10/15 22:00:05] ppdet.engine INFO: Epoch: [194] [ 60/366] learning_rate: 0.110766 loss_vfl: 0.877357 loss_bbox: 0.300825 loss_dfl: 0.187880 loss: 1.359119 eta: 1 day, 6:02:18 batch_cost: 2.7344 data_cost: 0.0017 ips: 29.2567 images/s [10/15 22:01:04] ppdet.engine INFO: Epoch: [194] [ 80/366] learning_rate: 0.110663 loss_vfl: 0.887540 loss_bbox: 0.297101 loss_dfl: 0.193832 loss: 1.370685 eta: 1 day, 6:01:22 batch_cost: 2.8247 data_cost: 0.0025 ips: 28.3218 images/s [10/15 22:02:04] ppdet.engine INFO: Epoch: [194] [100/366] learning_rate: 0.110561 loss_vfl: 0.876362 loss_bbox: 0.311038 loss_dfl: 0.196414 loss: 1.383625 eta: 1 day, 6:00:27 batch_cost: 2.8550 data_cost: 0.0017 ips: 28.0210 images/s [10/15 22:03:04] ppdet.engine INFO: Epoch: [194] [120/366] learning_rate: 0.110458 loss_vfl: 0.873167 loss_bbox: 0.293895 loss_dfl: 0.187139 loss: 1.351629 eta: 1 day, 5:59:31 batch_cost: 2.8199 data_cost: 0.0017 ips: 28.3698 images/s [10/15 22:04:02] ppdet.engine INFO: Epoch: [194] [140/366] learning_rate: 0.110356 loss_vfl: 0.880855 loss_bbox: 0.302999 loss_dfl: 0.190265 loss: 1.362561 eta: 1 day, 5:58:35 batch_cost: 2.7677 data_cost: 0.0016 ips: 28.9048 images/s [10/15 22:04:59] ppdet.engine INFO: Epoch: [194] [160/366] learning_rate: 0.110254 loss_vfl: 0.872263 loss_bbox: 0.318302 loss_dfl: 0.192121 loss: 1.395741 eta: 1 day, 5:57:38 batch_cost: 2.6997 data_cost: 0.0019 ips: 29.6325 images/s [10/15 22:05:56] ppdet.engine INFO: Epoch: [194] [180/366] learning_rate: 0.110152 loss_vfl: 0.887265 loss_bbox: 0.293487 loss_dfl: 0.193499 loss: 1.379958 eta: 1 day, 5:56:42 batch_cost: 2.7240 data_cost: 0.0016 ips: 29.3683 images/s [10/15 22:06:54] ppdet.engine INFO: Epoch: [194] [200/366] learning_rate: 0.110049 loss_vfl: 0.873943 loss_bbox: 0.309733 loss_dfl: 0.195872 loss: 1.390430 eta: 1 day, 5:55:45 batch_cost: 2.7356 data_cost: 0.0023 ips: 29.2446 images/s [10/15 22:07:52] ppdet.engine INFO: Epoch: [194] [220/366] learning_rate: 0.109947 loss_vfl: 0.870050 loss_bbox: 0.288059 loss_dfl: 0.189994 loss: 1.366373 eta: 1 day, 5:54:49 batch_cost: 2.7361 data_cost: 0.0016 ips: 29.2382 images/s [10/15 22:08:50] ppdet.engine INFO: Epoch: [194] [240/366] learning_rate: 0.109845 loss_vfl: 0.866616 loss_bbox: 0.315451 loss_dfl: 0.194115 loss: 1.377207 eta: 1 day, 5:53:53 batch_cost: 2.7780 data_cost: 0.0017 ips: 28.7975 images/s [10/15 22:09:48] ppdet.engine INFO: Epoch: [194] [260/366] learning_rate: 0.109743 loss_vfl: 0.868179 loss_bbox: 0.311463 loss_dfl: 0.192909 loss: 1.374726 eta: 1 day, 5:52:57 batch_cost: 2.7439 data_cost: 0.0026 ips: 29.1561 images/s [10/15 22:10:47] ppdet.engine INFO: Epoch: [194] [280/366] learning_rate: 0.109641 loss_vfl: 0.876840 loss_bbox: 0.330449 loss_dfl: 0.199290 loss: 1.406571 eta: 1 day, 5:52:01 batch_cost: 2.7794 data_cost: 0.0016 ips: 28.7830 images/s [10/15 22:11:45] ppdet.engine INFO: Epoch: [194] [300/366] learning_rate: 0.109539 loss_vfl: 0.869635 loss_bbox: 0.312904 loss_dfl: 0.191717 loss: 1.379257 eta: 1 day, 5:51:05 batch_cost: 2.7636 data_cost: 0.0018 ips: 28.9475 images/s [10/15 22:12:44] ppdet.engine INFO: Epoch: [194] [320/366] learning_rate: 0.109437 loss_vfl: 0.878357 loss_bbox: 0.320766 loss_dfl: 0.194462 loss: 1.386772 eta: 1 day, 5:50:09 batch_cost: 2.7779 data_cost: 0.0017 ips: 28.7991 images/s [10/15 22:13:42] ppdet.engine INFO: Epoch: [194] [340/366] learning_rate: 0.109334 loss_vfl: 0.859851 loss_bbox: 0.305817 loss_dfl: 0.188887 loss: 1.373476 eta: 1 day, 5:49:13 batch_cost: 2.7920 data_cost: 0.0018 ips: 28.6532 images/s [10/15 22:14:36] ppdet.engine INFO: Epoch: [194] [360/366] learning_rate: 0.109232 loss_vfl: 0.869877 loss_bbox: 0.322623 loss_dfl: 0.196611 loss: 1.386061 eta: 1 day, 5:48:14 batch_cost: 2.5420 data_cost: 0.0016 ips: 31.4718 images/s [10/15 22:15:13] ppdet.engine INFO: Epoch: [195] [ 0/366] learning_rate: 0.109202 loss_vfl: 0.871086 loss_bbox: 0.317549 loss_dfl: 0.194826 loss: 1.393484 eta: 1 day, 5:48:06 batch_cost: 3.3223 data_cost: 0.3982 ips: 24.0797 images/s [10/15 22:16:13] ppdet.engine INFO: Epoch: [195] [ 20/366] learning_rate: 0.109100 loss_vfl: 0.857916 loss_bbox: 0.311652 loss_dfl: 0.190717 loss: 1.356614 eta: 1 day, 5:47:11 batch_cost: 2.8519 data_cost: 0.0023 ips: 28.0512 images/s [10/15 22:17:12] ppdet.engine INFO: Epoch: [195] [ 40/366] learning_rate: 0.108998 loss_vfl: 0.871777 loss_bbox: 0.301451 loss_dfl: 0.190380 loss: 1.363311 eta: 1 day, 5:46:15 batch_cost: 2.8080 data_cost: 0.0022 ips: 28.4901 images/s [10/15 22:18:10] ppdet.engine INFO: Epoch: [195] [ 60/366] learning_rate: 0.108896 loss_vfl: 0.885541 loss_bbox: 0.314692 loss_dfl: 0.190717 loss: 1.382429 eta: 1 day, 5:45:19 batch_cost: 2.7408 data_cost: 0.0029 ips: 29.1891 images/s [10/15 22:19:07] ppdet.engine INFO: Epoch: [195] [ 80/366] learning_rate: 0.108794 loss_vfl: 0.871355 loss_bbox: 0.316126 loss_dfl: 0.189255 loss: 1.379824 eta: 1 day, 5:44:22 batch_cost: 2.7365 data_cost: 0.0016 ips: 29.2346 images/s [10/15 22:20:06] ppdet.engine INFO: Epoch: [195] [100/366] learning_rate: 0.108692 loss_vfl: 0.865729 loss_bbox: 0.305478 loss_dfl: 0.190813 loss: 1.366418 eta: 1 day, 5:43:27 batch_cost: 2.8052 data_cost: 0.0017 ips: 28.5182 images/s [10/15 22:21:06] ppdet.engine INFO: Epoch: [195] [120/366] learning_rate: 0.108591 loss_vfl: 0.872474 loss_bbox: 0.312261 loss_dfl: 0.199979 loss: 1.371760 eta: 1 day, 5:42:31 batch_cost: 2.8047 data_cost: 0.0017 ips: 28.5231 images/s [10/15 22:22:04] ppdet.engine INFO: Epoch: [195] [140/366] learning_rate: 0.108489 loss_vfl: 0.881350 loss_bbox: 0.290567 loss_dfl: 0.188855 loss: 1.366895 eta: 1 day, 5:41:35 batch_cost: 2.7760 data_cost: 0.0022 ips: 28.8189 images/s [10/15 22:23:03] ppdet.engine INFO: Epoch: [195] [160/366] learning_rate: 0.108387 loss_vfl: 0.870489 loss_bbox: 0.309093 loss_dfl: 0.196225 loss: 1.378696 eta: 1 day, 5:40:39 batch_cost: 2.7828 data_cost: 0.0016 ips: 28.7481 images/s [10/15 22:24:01] ppdet.engine INFO: Epoch: [195] [180/366] learning_rate: 0.108285 loss_vfl: 0.874858 loss_bbox: 0.297611 loss_dfl: 0.187012 loss: 1.356391 eta: 1 day, 5:39:43 batch_cost: 2.7733 data_cost: 0.0028 ips: 28.8462 images/s [10/15 22:24:59] ppdet.engine INFO: Epoch: [195] [200/366] learning_rate: 0.108184 loss_vfl: 0.884466 loss_bbox: 0.304201 loss_dfl: 0.195565 loss: 1.379216 eta: 1 day, 5:38:46 batch_cost: 2.7271 data_cost: 0.0016 ips: 29.3347 images/s [10/15 22:25:55] ppdet.engine INFO: Epoch: [195] [220/366] learning_rate: 0.108082 loss_vfl: 0.869093 loss_bbox: 0.311572 loss_dfl: 0.190769 loss: 1.378572 eta: 1 day, 5:37:50 batch_cost: 2.6932 data_cost: 0.0036 ips: 29.7046 images/s [10/15 22:26:53] ppdet.engine INFO: Epoch: [195] [240/366] learning_rate: 0.107980 loss_vfl: 0.867131 loss_bbox: 0.299548 loss_dfl: 0.194968 loss: 1.360538 eta: 1 day, 5:36:53 batch_cost: 2.7169 data_cost: 0.0017 ips: 29.4449 images/s [10/15 22:27:50] ppdet.engine INFO: Epoch: [195] [260/366] learning_rate: 0.107879 loss_vfl: 0.865128 loss_bbox: 0.321192 loss_dfl: 0.198226 loss: 1.397753 eta: 1 day, 5:35:56 batch_cost: 2.7132 data_cost: 0.0017 ips: 29.4850 images/s [10/15 22:28:48] ppdet.engine INFO: Epoch: [195] [280/366] learning_rate: 0.107777 loss_vfl: 0.886395 loss_bbox: 0.305251 loss_dfl: 0.192553 loss: 1.387826 eta: 1 day, 5:35:00 batch_cost: 2.7513 data_cost: 0.0018 ips: 29.0776 images/s [10/15 22:29:47] ppdet.engine INFO: Epoch: [195] [300/366] learning_rate: 0.107676 loss_vfl: 0.879968 loss_bbox: 0.307850 loss_dfl: 0.197090 loss: 1.393981 eta: 1 day, 5:34:04 batch_cost: 2.7938 data_cost: 0.0017 ips: 28.6350 images/s [10/15 22:30:45] ppdet.engine INFO: Epoch: [195] [320/366] learning_rate: 0.107574 loss_vfl: 0.870781 loss_bbox: 0.315045 loss_dfl: 0.195943 loss: 1.376125 eta: 1 day, 5:33:08 batch_cost: 2.7581 data_cost: 0.0023 ips: 29.0056 images/s [10/15 22:31:42] ppdet.engine INFO: Epoch: [195] [340/366] learning_rate: 0.107473 loss_vfl: 0.881067 loss_bbox: 0.314137 loss_dfl: 0.196695 loss: 1.389921 eta: 1 day, 5:32:12 batch_cost: 2.7298 data_cost: 0.0016 ips: 29.3057 images/s [10/15 22:32:36] ppdet.engine INFO: Epoch: [195] [360/366] learning_rate: 0.107371 loss_vfl: 0.889871 loss_bbox: 0.306674 loss_dfl: 0.186261 loss: 1.388205 eta: 1 day, 5:31:13 batch_cost: 2.5130 data_cost: 0.0016 ips: 31.8349 images/s [10/15 22:33:14] ppdet.engine INFO: Epoch: [196] [ 0/366] learning_rate: 0.107341 loss_vfl: 0.881082 loss_bbox: 0.303885 loss_dfl: 0.188471 loss: 1.381691 eta: 1 day, 5:31:05 batch_cost: 3.3921 data_cost: 0.5541 ips: 23.5840 images/s [10/15 22:34:14] ppdet.engine INFO: Epoch: [196] [ 20/366] learning_rate: 0.107239 loss_vfl: 0.870409 loss_bbox: 0.307340 loss_dfl: 0.194932 loss: 1.377007 eta: 1 day, 5:30:10 batch_cost: 2.8329 data_cost: 0.0018 ips: 28.2399 images/s [10/15 22:35:13] ppdet.engine INFO: Epoch: [196] [ 40/366] learning_rate: 0.107138 loss_vfl: 0.882187 loss_bbox: 0.299406 loss_dfl: 0.188035 loss: 1.377712 eta: 1 day, 5:29:14 batch_cost: 2.8102 data_cost: 0.0017 ips: 28.4679 images/s [10/15 22:36:11] ppdet.engine INFO: Epoch: [196] [ 60/366] learning_rate: 0.107037 loss_vfl: 0.865230 loss_bbox: 0.288525 loss_dfl: 0.191794 loss: 1.358653 eta: 1 day, 5:28:18 batch_cost: 2.7855 data_cost: 0.0017 ips: 28.7206 images/s [10/15 22:37:09] ppdet.engine INFO: Epoch: [196] [ 80/366] learning_rate: 0.106935 loss_vfl: 0.887881 loss_bbox: 0.322828 loss_dfl: 0.196415 loss: 1.400540 eta: 1 day, 5:27:22 batch_cost: 2.7618 data_cost: 0.0026 ips: 28.9666 images/s [10/15 22:38:06] ppdet.engine INFO: Epoch: [196] [100/366] learning_rate: 0.106834 loss_vfl: 0.874207 loss_bbox: 0.323368 loss_dfl: 0.197066 loss: 1.398859 eta: 1 day, 5:26:25 batch_cost: 2.6619 data_cost: 0.0023 ips: 30.0541 images/s [10/15 22:39:04] ppdet.engine INFO: Epoch: [196] [120/366] learning_rate: 0.106733 loss_vfl: 0.880060 loss_bbox: 0.297598 loss_dfl: 0.190144 loss: 1.347602 eta: 1 day, 5:25:29 batch_cost: 2.7733 data_cost: 0.0017 ips: 28.8461 images/s [10/15 22:40:03] ppdet.engine INFO: Epoch: [196] [140/366] learning_rate: 0.106632 loss_vfl: 0.866374 loss_bbox: 0.300619 loss_dfl: 0.190580 loss: 1.355656 eta: 1 day, 5:24:33 batch_cost: 2.8057 data_cost: 0.0017 ips: 28.5131 images/s [10/15 22:41:02] ppdet.engine INFO: Epoch: [196] [160/366] learning_rate: 0.106530 loss_vfl: 0.881858 loss_bbox: 0.289808 loss_dfl: 0.184759 loss: 1.364000 eta: 1 day, 5:23:37 batch_cost: 2.7637 data_cost: 0.0018 ips: 28.9463 images/s [10/15 22:42:00] ppdet.engine INFO: Epoch: [196] [180/366] learning_rate: 0.106429 loss_vfl: 0.867897 loss_bbox: 0.301719 loss_dfl: 0.190471 loss: 1.374511 eta: 1 day, 5:22:41 batch_cost: 2.7612 data_cost: 0.0016 ips: 28.9730 images/s [10/15 22:42:59] ppdet.engine INFO: Epoch: [196] [200/366] learning_rate: 0.106328 loss_vfl: 0.863700 loss_bbox: 0.304400 loss_dfl: 0.186433 loss: 1.374372 eta: 1 day, 5:21:45 batch_cost: 2.8366 data_cost: 0.0017 ips: 28.2032 images/s [10/15 22:43:58] ppdet.engine INFO: Epoch: [196] [220/366] learning_rate: 0.106227 loss_vfl: 0.889384 loss_bbox: 0.303058 loss_dfl: 0.192731 loss: 1.377197 eta: 1 day, 5:20:49 batch_cost: 2.7757 data_cost: 0.0016 ips: 28.8219 images/s [10/15 22:44:56] ppdet.engine INFO: Epoch: [196] [240/366] learning_rate: 0.106126 loss_vfl: 0.871814 loss_bbox: 0.312520 loss_dfl: 0.193358 loss: 1.378659 eta: 1 day, 5:19:53 batch_cost: 2.7321 data_cost: 0.0016 ips: 29.2819 images/s [10/15 22:45:54] ppdet.engine INFO: Epoch: [196] [260/366] learning_rate: 0.106025 loss_vfl: 0.878955 loss_bbox: 0.315783 loss_dfl: 0.196951 loss: 1.394042 eta: 1 day, 5:18:57 batch_cost: 2.7659 data_cost: 0.0016 ips: 28.9233 images/s [10/15 22:46:52] ppdet.engine INFO: Epoch: [196] [280/366] learning_rate: 0.105924 loss_vfl: 0.863584 loss_bbox: 0.300599 loss_dfl: 0.194523 loss: 1.376740 eta: 1 day, 5:18:01 batch_cost: 2.7796 data_cost: 0.0020 ips: 28.7806 images/s [10/15 22:47:51] ppdet.engine INFO: Epoch: [196] [300/366] learning_rate: 0.105823 loss_vfl: 0.870430 loss_bbox: 0.311544 loss_dfl: 0.193908 loss: 1.383670 eta: 1 day, 5:17:05 batch_cost: 2.7759 data_cost: 0.0021 ips: 28.8193 images/s [10/15 22:48:50] ppdet.engine INFO: Epoch: [196] [320/366] learning_rate: 0.105722 loss_vfl: 0.874460 loss_bbox: 0.300929 loss_dfl: 0.184280 loss: 1.362089 eta: 1 day, 5:16:09 batch_cost: 2.7845 data_cost: 0.0016 ips: 28.7307 images/s [10/15 22:49:47] ppdet.engine INFO: Epoch: [196] [340/366] learning_rate: 0.105621 loss_vfl: 0.863242 loss_bbox: 0.302440 loss_dfl: 0.183885 loss: 1.378442 eta: 1 day, 5:15:12 batch_cost: 2.7215 data_cost: 0.0023 ips: 29.3957 images/s [10/15 22:50:41] ppdet.engine INFO: Epoch: [196] [360/366] learning_rate: 0.105520 loss_vfl: 0.890314 loss_bbox: 0.314882 loss_dfl: 0.195300 loss: 1.396012 eta: 1 day, 5:14:14 batch_cost: 2.5637 data_cost: 0.0030 ips: 31.2055 images/s [10/15 22:51:22] ppdet.engine INFO: Epoch: [197] [ 0/366] learning_rate: 0.105490 loss_vfl: 0.888986 loss_bbox: 0.307243 loss_dfl: 0.196347 loss: 1.382479 eta: 1 day, 5:14:08 batch_cost: 3.5640 data_cost: 0.6066 ips: 22.4464 images/s [10/15 22:52:21] ppdet.engine INFO: Epoch: [197] [ 20/366] learning_rate: 0.105389 loss_vfl: 0.879795 loss_bbox: 0.308184 loss_dfl: 0.190108 loss: 1.378299 eta: 1 day, 5:13:12 batch_cost: 2.7994 data_cost: 0.0020 ips: 28.5778 images/s [10/15 22:53:20] ppdet.engine INFO: Epoch: [197] [ 40/366] learning_rate: 0.105288 loss_vfl: 0.882994 loss_bbox: 0.300530 loss_dfl: 0.190697 loss: 1.370278 eta: 1 day, 5:12:16 batch_cost: 2.7993 data_cost: 0.0017 ips: 28.5783 images/s [10/15 22:54:19] ppdet.engine INFO: Epoch: [197] [ 60/366] learning_rate: 0.105187 loss_vfl: 0.876962 loss_bbox: 0.298308 loss_dfl: 0.190725 loss: 1.362606 eta: 1 day, 5:11:20 batch_cost: 2.7881 data_cost: 0.0016 ips: 28.6931 images/s [10/15 22:55:18] ppdet.engine INFO: Epoch: [197] [ 80/366] learning_rate: 0.105087 loss_vfl: 0.865684 loss_bbox: 0.309653 loss_dfl: 0.196042 loss: 1.397207 eta: 1 day, 5:10:25 batch_cost: 2.7979 data_cost: 0.0017 ips: 28.5928 images/s [10/15 22:56:17] ppdet.engine INFO: Epoch: [197] [100/366] learning_rate: 0.104986 loss_vfl: 0.881271 loss_bbox: 0.311012 loss_dfl: 0.188496 loss: 1.357807 eta: 1 day, 5:09:29 batch_cost: 2.7968 data_cost: 0.0020 ips: 28.6039 images/s [10/15 22:57:14] ppdet.engine INFO: Epoch: [197] [120/366] learning_rate: 0.104885 loss_vfl: 0.893883 loss_bbox: 0.304094 loss_dfl: 0.190304 loss: 1.396369 eta: 1 day, 5:08:32 batch_cost: 2.7169 data_cost: 0.0020 ips: 29.4451 images/s [10/15 22:58:13] ppdet.engine INFO: Epoch: [197] [140/366] learning_rate: 0.104785 loss_vfl: 0.876926 loss_bbox: 0.297120 loss_dfl: 0.186819 loss: 1.356853 eta: 1 day, 5:07:36 batch_cost: 2.7865 data_cost: 0.0017 ips: 28.7098 images/s [10/15 22:59:12] ppdet.engine INFO: Epoch: [197] [160/366] learning_rate: 0.104684 loss_vfl: 0.888870 loss_bbox: 0.309512 loss_dfl: 0.194542 loss: 1.387845 eta: 1 day, 5:06:40 batch_cost: 2.7860 data_cost: 0.0016 ips: 28.7151 images/s [10/15 23:00:10] ppdet.engine INFO: Epoch: [197] [180/366] learning_rate: 0.104583 loss_vfl: 0.860428 loss_bbox: 0.310403 loss_dfl: 0.195948 loss: 1.353433 eta: 1 day, 5:05:44 batch_cost: 2.7505 data_cost: 0.0022 ips: 29.0853 images/s [10/15 23:01:08] ppdet.engine INFO: Epoch: [197] [200/366] learning_rate: 0.104483 loss_vfl: 0.860296 loss_bbox: 0.299763 loss_dfl: 0.185554 loss: 1.343066 eta: 1 day, 5:04:48 batch_cost: 2.7771 data_cost: 0.0019 ips: 28.8067 images/s [10/15 23:02:06] ppdet.engine INFO: Epoch: [197] [220/366] learning_rate: 0.104382 loss_vfl: 0.866583 loss_bbox: 0.315656 loss_dfl: 0.196599 loss: 1.388151 eta: 1 day, 5:03:52 batch_cost: 2.7287 data_cost: 0.0017 ips: 29.3180 images/s [10/15 23:03:04] ppdet.engine INFO: Epoch: [197] [240/366] learning_rate: 0.104282 loss_vfl: 0.858219 loss_bbox: 0.314708 loss_dfl: 0.195274 loss: 1.387358 eta: 1 day, 5:02:56 batch_cost: 2.7908 data_cost: 0.0016 ips: 28.6652 images/s [10/15 23:04:03] ppdet.engine INFO: Epoch: [197] [260/366] learning_rate: 0.104181 loss_vfl: 0.874125 loss_bbox: 0.311195 loss_dfl: 0.188617 loss: 1.369149 eta: 1 day, 5:02:00 batch_cost: 2.7616 data_cost: 0.0017 ips: 28.9691 images/s [10/15 23:05:01] ppdet.engine INFO: Epoch: [197] [280/366] learning_rate: 0.104081 loss_vfl: 0.870149 loss_bbox: 0.304779 loss_dfl: 0.191329 loss: 1.381916 eta: 1 day, 5:01:03 batch_cost: 2.7519 data_cost: 0.0016 ips: 29.0704 images/s [10/15 23:06:00] ppdet.engine INFO: Epoch: [197] [300/366] learning_rate: 0.103980 loss_vfl: 0.859449 loss_bbox: 0.315879 loss_dfl: 0.197841 loss: 1.394385 eta: 1 day, 5:00:07 batch_cost: 2.7882 data_cost: 0.0017 ips: 28.6920 images/s [10/15 23:06:59] ppdet.engine INFO: Epoch: [197] [320/366] learning_rate: 0.103880 loss_vfl: 0.880550 loss_bbox: 0.315721 loss_dfl: 0.194532 loss: 1.386731 eta: 1 day, 4:59:12 batch_cost: 2.8042 data_cost: 0.0017 ips: 28.5290 images/s [10/15 23:07:57] ppdet.engine INFO: Epoch: [197] [340/366] learning_rate: 0.103780 loss_vfl: 0.877028 loss_bbox: 0.321472 loss_dfl: 0.193682 loss: 1.379191 eta: 1 day, 4:58:16 batch_cost: 2.7663 data_cost: 0.0017 ips: 28.9190 images/s [10/15 23:08:50] ppdet.engine INFO: Epoch: [197] [360/366] learning_rate: 0.103679 loss_vfl: 0.882838 loss_bbox: 0.310181 loss_dfl: 0.189880 loss: 1.368569 eta: 1 day, 4:57:17 batch_cost: 2.5279 data_cost: 0.0016 ips: 31.6468 images/s [10/15 23:09:29] ppdet.engine INFO: Epoch: [198] [ 0/366] learning_rate: 0.103649 loss_vfl: 0.884205 loss_bbox: 0.304324 loss_dfl: 0.192008 loss: 1.368569 eta: 1 day, 4:57:10 batch_cost: 3.4353 data_cost: 0.4474 ips: 23.2874 images/s [10/15 23:10:29] ppdet.engine INFO: Epoch: [198] [ 20/366] learning_rate: 0.103549 loss_vfl: 0.861960 loss_bbox: 0.314703 loss_dfl: 0.191482 loss: 1.362318 eta: 1 day, 4:56:14 batch_cost: 2.8008 data_cost: 0.0017 ips: 28.5634 images/s [10/15 23:11:29] ppdet.engine INFO: Epoch: [198] [ 40/366] learning_rate: 0.103449 loss_vfl: 0.865956 loss_bbox: 0.303819 loss_dfl: 0.195479 loss: 1.382972 eta: 1 day, 4:55:18 batch_cost: 2.8382 data_cost: 0.0017 ips: 28.1865 images/s [10/15 23:12:27] ppdet.engine INFO: Epoch: [198] [ 60/366] learning_rate: 0.103349 loss_vfl: 0.872873 loss_bbox: 0.284577 loss_dfl: 0.188717 loss: 1.359854 eta: 1 day, 4:54:22 batch_cost: 2.7569 data_cost: 0.0017 ips: 29.0179 images/s [10/15 23:13:24] ppdet.engine INFO: Epoch: [198] [ 80/366] learning_rate: 0.103248 loss_vfl: 0.874261 loss_bbox: 0.297386 loss_dfl: 0.186431 loss: 1.374467 eta: 1 day, 4:53:26 batch_cost: 2.7389 data_cost: 0.0016 ips: 29.2084 images/s [10/15 23:14:22] ppdet.engine INFO: Epoch: [198] [100/366] learning_rate: 0.103148 loss_vfl: 0.870435 loss_bbox: 0.315197 loss_dfl: 0.195843 loss: 1.370834 eta: 1 day, 4:52:29 batch_cost: 2.7215 data_cost: 0.0016 ips: 29.3960 images/s [10/15 23:15:19] ppdet.engine INFO: Epoch: [198] [120/366] learning_rate: 0.103048 loss_vfl: 0.865259 loss_bbox: 0.331967 loss_dfl: 0.205545 loss: 1.397913 eta: 1 day, 4:51:33 batch_cost: 2.7203 data_cost: 0.0017 ips: 29.4082 images/s [10/15 23:16:17] ppdet.engine INFO: Epoch: [198] [140/366] learning_rate: 0.102948 loss_vfl: 0.864742 loss_bbox: 0.292443 loss_dfl: 0.184688 loss: 1.345115 eta: 1 day, 4:50:36 batch_cost: 2.7481 data_cost: 0.0016 ips: 29.1106 images/s [10/15 23:17:14] ppdet.engine INFO: Epoch: [198] [160/366] learning_rate: 0.102848 loss_vfl: 0.874954 loss_bbox: 0.301881 loss_dfl: 0.191971 loss: 1.378259 eta: 1 day, 4:49:40 batch_cost: 2.7238 data_cost: 0.0016 ips: 29.3703 images/s [10/15 23:18:12] ppdet.engine INFO: Epoch: [198] [180/366] learning_rate: 0.102748 loss_vfl: 0.866881 loss_bbox: 0.325987 loss_dfl: 0.194496 loss: 1.378822 eta: 1 day, 4:48:43 batch_cost: 2.7122 data_cost: 0.0016 ips: 29.4964 images/s [10/15 23:19:10] ppdet.engine INFO: Epoch: [198] [200/366] learning_rate: 0.102648 loss_vfl: 0.890610 loss_bbox: 0.296506 loss_dfl: 0.186604 loss: 1.371517 eta: 1 day, 4:47:47 batch_cost: 2.7701 data_cost: 0.0016 ips: 28.8798 images/s [10/15 23:20:07] ppdet.engine INFO: Epoch: [198] [220/366] learning_rate: 0.102548 loss_vfl: 0.872102 loss_bbox: 0.298470 loss_dfl: 0.189232 loss: 1.368919 eta: 1 day, 4:46:50 batch_cost: 2.7029 data_cost: 0.0017 ips: 29.5981 images/s [10/15 23:21:05] ppdet.engine INFO: Epoch: [198] [240/366] learning_rate: 0.102448 loss_vfl: 0.871407 loss_bbox: 0.312637 loss_dfl: 0.200427 loss: 1.392822 eta: 1 day, 4:45:54 batch_cost: 2.7470 data_cost: 0.0023 ips: 29.1223 images/s [10/15 23:22:02] ppdet.engine INFO: Epoch: [198] [260/366] learning_rate: 0.102348 loss_vfl: 0.872406 loss_bbox: 0.308828 loss_dfl: 0.192167 loss: 1.378879 eta: 1 day, 4:44:57 batch_cost: 2.7126 data_cost: 0.0018 ips: 29.4923 images/s [10/15 23:22:59] ppdet.engine INFO: Epoch: [198] [280/366] learning_rate: 0.102248 loss_vfl: 0.868031 loss_bbox: 0.299258 loss_dfl: 0.184529 loss: 1.365017 eta: 1 day, 4:44:01 batch_cost: 2.6820 data_cost: 0.0016 ips: 29.8285 images/s [10/15 23:23:58] ppdet.engine INFO: Epoch: [198] [300/366] learning_rate: 0.102148 loss_vfl: 0.881397 loss_bbox: 0.304105 loss_dfl: 0.186355 loss: 1.375872 eta: 1 day, 4:43:05 batch_cost: 2.7939 data_cost: 0.0016 ips: 28.6334 images/s [10/15 23:24:56] ppdet.engine INFO: Epoch: [198] [320/366] learning_rate: 0.102049 loss_vfl: 0.888062 loss_bbox: 0.310950 loss_dfl: 0.191891 loss: 1.398831 eta: 1 day, 4:42:09 batch_cost: 2.7954 data_cost: 0.0016 ips: 28.6188 images/s [10/15 23:25:55] ppdet.engine INFO: Epoch: [198] [340/366] learning_rate: 0.101949 loss_vfl: 0.872758 loss_bbox: 0.304757 loss_dfl: 0.186769 loss: 1.366296 eta: 1 day, 4:41:13 batch_cost: 2.7835 data_cost: 0.0016 ips: 28.7405 images/s [10/15 23:26:47] ppdet.engine INFO: Epoch: [198] [360/366] learning_rate: 0.101849 loss_vfl: 0.884838 loss_bbox: 0.297349 loss_dfl: 0.190732 loss: 1.365566 eta: 1 day, 4:40:14 batch_cost: 2.4554 data_cost: 0.0015 ips: 32.5814 images/s [10/15 23:27:25] ppdet.engine INFO: Epoch: [199] [ 0/366] learning_rate: 0.101819 loss_vfl: 0.868840 loss_bbox: 0.306440 loss_dfl: 0.194030 loss: 1.369979 eta: 1 day, 4:40:06 batch_cost: 3.3439 data_cost: 0.5851 ips: 23.9245 images/s [10/15 23:28:24] ppdet.engine INFO: Epoch: [199] [ 20/366] learning_rate: 0.101720 loss_vfl: 0.870037 loss_bbox: 0.312219 loss_dfl: 0.193363 loss: 1.372613 eta: 1 day, 4:39:10 batch_cost: 2.7758 data_cost: 0.0024 ips: 28.8207 images/s [10/15 23:29:23] ppdet.engine INFO: Epoch: [199] [ 40/366] learning_rate: 0.101620 loss_vfl: 0.871552 loss_bbox: 0.295397 loss_dfl: 0.192182 loss: 1.388630 eta: 1 day, 4:38:14 batch_cost: 2.7893 data_cost: 0.0018 ips: 28.6814 images/s [10/15 23:30:21] ppdet.engine INFO: Epoch: [199] [ 60/366] learning_rate: 0.101520 loss_vfl: 0.868973 loss_bbox: 0.315809 loss_dfl: 0.191497 loss: 1.381531 eta: 1 day, 4:37:18 batch_cost: 2.7698 data_cost: 0.0016 ips: 28.8834 images/s [10/15 23:31:20] ppdet.engine INFO: Epoch: [199] [ 80/366] learning_rate: 0.101421 loss_vfl: 0.874554 loss_bbox: 0.304214 loss_dfl: 0.190992 loss: 1.377022 eta: 1 day, 4:36:22 batch_cost: 2.7837 data_cost: 0.0019 ips: 28.7392 images/s [10/15 23:32:17] ppdet.engine INFO: Epoch: [199] [100/366] learning_rate: 0.101321 loss_vfl: 0.875547 loss_bbox: 0.313201 loss_dfl: 0.190040 loss: 1.380510 eta: 1 day, 4:35:25 batch_cost: 2.7047 data_cost: 0.0036 ips: 29.5783 images/s [10/15 23:33:14] ppdet.engine INFO: Epoch: [199] [120/366] learning_rate: 0.101222 loss_vfl: 0.867577 loss_bbox: 0.301006 loss_dfl: 0.193953 loss: 1.384143 eta: 1 day, 4:34:29 batch_cost: 2.7398 data_cost: 0.0016 ips: 29.1992 images/s [10/15 23:34:12] ppdet.engine INFO: Epoch: [199] [140/366] learning_rate: 0.101122 loss_vfl: 0.861669 loss_bbox: 0.301206 loss_dfl: 0.188547 loss: 1.364887 eta: 1 day, 4:33:32 batch_cost: 2.7239 data_cost: 0.0017 ips: 29.3701 images/s [10/15 23:35:10] ppdet.engine INFO: Epoch: [199] [160/366] learning_rate: 0.101023 loss_vfl: 0.861455 loss_bbox: 0.311171 loss_dfl: 0.192912 loss: 1.370421 eta: 1 day, 4:32:36 batch_cost: 2.7860 data_cost: 0.0016 ips: 28.7155 images/s [10/15 23:36:08] ppdet.engine INFO: Epoch: [199] [180/366] learning_rate: 0.100923 loss_vfl: 0.863026 loss_bbox: 0.295835 loss_dfl: 0.188563 loss: 1.352082 eta: 1 day, 4:31:40 batch_cost: 2.7168 data_cost: 0.0017 ips: 29.4464 images/s [10/15 23:37:07] ppdet.engine INFO: Epoch: [199] [200/366] learning_rate: 0.100824 loss_vfl: 0.881814 loss_bbox: 0.305475 loss_dfl: 0.182051 loss: 1.347614 eta: 1 day, 4:30:44 batch_cost: 2.7930 data_cost: 0.0017 ips: 28.6425 images/s [10/15 23:38:03] ppdet.engine INFO: Epoch: [199] [220/366] learning_rate: 0.100724 loss_vfl: 0.858480 loss_bbox: 0.331804 loss_dfl: 0.201054 loss: 1.387983 eta: 1 day, 4:29:47 batch_cost: 2.6867 data_cost: 0.0016 ips: 29.7765 images/s [10/15 23:39:01] ppdet.engine INFO: Epoch: [199] [240/366] learning_rate: 0.100625 loss_vfl: 0.880192 loss_bbox: 0.321328 loss_dfl: 0.196245 loss: 1.400890 eta: 1 day, 4:28:51 batch_cost: 2.7500 data_cost: 0.0016 ips: 29.0910 images/s [10/15 23:39:59] ppdet.engine INFO: Epoch: [199] [260/366] learning_rate: 0.100526 loss_vfl: 0.872928 loss_bbox: 0.307912 loss_dfl: 0.190798 loss: 1.367766 eta: 1 day, 4:27:54 batch_cost: 2.7295 data_cost: 0.0017 ips: 29.3091 images/s [10/15 23:40:57] ppdet.engine INFO: Epoch: [199] [280/366] learning_rate: 0.100426 loss_vfl: 0.853993 loss_bbox: 0.307870 loss_dfl: 0.191926 loss: 1.357284 eta: 1 day, 4:26:58 batch_cost: 2.7657 data_cost: 0.0031 ips: 28.9256 images/s [10/15 23:41:56] ppdet.engine INFO: Epoch: [199] [300/366] learning_rate: 0.100327 loss_vfl: 0.857677 loss_bbox: 0.323321 loss_dfl: 0.195736 loss: 1.370331 eta: 1 day, 4:26:03 batch_cost: 2.8042 data_cost: 0.0016 ips: 28.5286 images/s [10/15 23:42:55] ppdet.engine INFO: Epoch: [199] [320/366] learning_rate: 0.100228 loss_vfl: 0.857192 loss_bbox: 0.323708 loss_dfl: 0.202100 loss: 1.385146 eta: 1 day, 4:25:07 batch_cost: 2.7853 data_cost: 0.0016 ips: 28.7224 images/s [10/15 23:43:52] ppdet.engine INFO: Epoch: [199] [340/366] learning_rate: 0.100129 loss_vfl: 0.887408 loss_bbox: 0.319555 loss_dfl: 0.198873 loss: 1.389524 eta: 1 day, 4:24:10 batch_cost: 2.7233 data_cost: 0.0016 ips: 29.3762 images/s [10/15 23:44:47] ppdet.engine INFO: Epoch: [199] [360/366] learning_rate: 0.100030 loss_vfl: 0.858970 loss_bbox: 0.314889 loss_dfl: 0.198453 loss: 1.383548 eta: 1 day, 4:23:13 batch_cost: 2.6130 data_cost: 0.0016 ips: 30.6159 images/s [10/15 23:45:04] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 23:45:04] ppdet.engine INFO: Eval iter: 0 [10/15 23:45:43] ppdet.engine INFO: Eval iter: 100 [10/15 23:46:06] ppdet.engine INFO: Eval iter: 200 [10/15 23:46:29] ppdet.engine INFO: Eval iter: 300 [10/15 23:46:52] ppdet.engine INFO: Eval iter: 400 [10/15 23:47:15] ppdet.engine INFO: Eval iter: 500 [10/15 23:47:38] ppdet.engine INFO: Eval iter: 600 [10/15 23:47:59] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.95s) creating index... index created! [10/15 23:48:01] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.79s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.89s). Accumulating evaluation results... DONE (t=17.18s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.300 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.447 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.312 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.104 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.494 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.274 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.432 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.461 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 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706 [10/15 23:50:03] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.840848660756524 [10/15 23:50:03] ppdet.engine INFO: Best test bbox ap is 0.300. [10/15 23:50:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/15 23:50:06] ppdet.engine INFO: Epoch: [200] [ 0/366] learning_rate: 0.100000 loss_vfl: 0.876130 loss_bbox: 0.314478 loss_dfl: 0.198353 loss: 1.385605 eta: 1 day, 4:22:54 batch_cost: 2.4902 data_cost: 0.0016 ips: 32.1263 images/s [10/15 23:51:07] ppdet.engine INFO: Epoch: [200] [ 20/366] learning_rate: 0.099901 loss_vfl: 0.863297 loss_bbox: 0.289538 loss_dfl: 0.185981 loss: 1.337249 eta: 1 day, 4:22:00 batch_cost: 2.9142 data_cost: 0.0019 ips: 27.4515 images/s [10/15 23:52:07] ppdet.engine INFO: Epoch: [200] [ 40/366] learning_rate: 0.099802 loss_vfl: 0.866902 loss_bbox: 0.292498 loss_dfl: 0.176823 loss: 1.330579 eta: 1 day, 4:21:04 batch_cost: 2.8189 data_cost: 0.0019 ips: 28.3803 images/s [10/15 23:53:04] ppdet.engine INFO: Epoch: [200] [ 60/366] learning_rate: 0.099703 loss_vfl: 0.868223 loss_bbox: 0.311861 loss_dfl: 0.194139 loss: 1.374375 eta: 1 day, 4:20:08 batch_cost: 2.7197 data_cost: 0.0025 ips: 29.4148 images/s [10/15 23:54:03] ppdet.engine INFO: Epoch: [200] [ 80/366] learning_rate: 0.099604 loss_vfl: 0.873849 loss_bbox: 0.285879 loss_dfl: 0.186667 loss: 1.349571 eta: 1 day, 4:19:12 batch_cost: 2.7762 data_cost: 0.0016 ips: 28.8163 images/s [10/15 23:55:01] ppdet.engine INFO: Epoch: [200] [100/366] learning_rate: 0.099505 loss_vfl: 0.862315 loss_bbox: 0.288204 loss_dfl: 0.185488 loss: 1.342402 eta: 1 day, 4:18:16 batch_cost: 2.7547 data_cost: 0.0017 ips: 29.0411 images/s [10/15 23:55:59] ppdet.engine INFO: Epoch: [200] [120/366] learning_rate: 0.099406 loss_vfl: 0.858221 loss_bbox: 0.307742 loss_dfl: 0.191029 loss: 1.348997 eta: 1 day, 4:17:20 batch_cost: 2.7787 data_cost: 0.0017 ips: 28.7908 images/s [10/15 23:56:58] ppdet.engine INFO: Epoch: [200] [140/366] learning_rate: 0.099307 loss_vfl: 0.858637 loss_bbox: 0.299095 loss_dfl: 0.187932 loss: 1.374448 eta: 1 day, 4:16:24 batch_cost: 2.8073 data_cost: 0.0017 ips: 28.4971 images/s [10/15 23:57:58] ppdet.engine INFO: Epoch: [200] [160/366] learning_rate: 0.099208 loss_vfl: 0.867713 loss_bbox: 0.304288 loss_dfl: 0.186888 loss: 1.375375 eta: 1 day, 4:15:28 batch_cost: 2.8173 data_cost: 0.0017 ips: 28.3963 images/s [10/15 23:58:56] ppdet.engine INFO: Epoch: [200] [180/366] learning_rate: 0.099109 loss_vfl: 0.878661 loss_bbox: 0.293232 loss_dfl: 0.186871 loss: 1.349003 eta: 1 day, 4:14:32 batch_cost: 2.7539 data_cost: 0.0016 ips: 29.0500 images/s [10/15 23:59:54] ppdet.engine INFO: Epoch: [200] [200/366] learning_rate: 0.099010 loss_vfl: 0.881112 loss_bbox: 0.306112 loss_dfl: 0.194080 loss: 1.384389 eta: 1 day, 4:13:36 batch_cost: 2.7346 data_cost: 0.0017 ips: 29.2547 images/s [10/16 00:00:52] ppdet.engine INFO: Epoch: [200] [220/366] learning_rate: 0.098912 loss_vfl: 0.888013 loss_bbox: 0.308414 loss_dfl: 0.186137 loss: 1.368451 eta: 1 day, 4:12:40 batch_cost: 2.7834 data_cost: 0.0018 ips: 28.7413 images/s [10/16 00:01:51] ppdet.engine INFO: Epoch: [200] [240/366] learning_rate: 0.098813 loss_vfl: 0.866078 loss_bbox: 0.286474 loss_dfl: 0.190490 loss: 1.358635 eta: 1 day, 4:11:44 batch_cost: 2.7949 data_cost: 0.0031 ips: 28.6232 images/s [10/16 00:02:50] ppdet.engine INFO: Epoch: [200] [260/366] learning_rate: 0.098714 loss_vfl: 0.867058 loss_bbox: 0.301356 loss_dfl: 0.191797 loss: 1.366656 eta: 1 day, 4:10:48 batch_cost: 2.7648 data_cost: 0.0017 ips: 28.9352 images/s [10/16 00:03:49] ppdet.engine INFO: Epoch: [200] [280/366] learning_rate: 0.098616 loss_vfl: 0.873529 loss_bbox: 0.314652 loss_dfl: 0.195124 loss: 1.383404 eta: 1 day, 4:09:52 batch_cost: 2.8224 data_cost: 0.0016 ips: 28.3447 images/s [10/16 00:04:47] ppdet.engine INFO: Epoch: [200] [300/366] learning_rate: 0.098517 loss_vfl: 0.875778 loss_bbox: 0.296736 loss_dfl: 0.194422 loss: 1.382931 eta: 1 day, 4:08:56 batch_cost: 2.7479 data_cost: 0.0017 ips: 29.1136 images/s [10/16 00:05:45] ppdet.engine INFO: Epoch: [200] [320/366] learning_rate: 0.098418 loss_vfl: 0.864316 loss_bbox: 0.292730 loss_dfl: 0.189141 loss: 1.362042 eta: 1 day, 4:08:00 batch_cost: 2.7638 data_cost: 0.0017 ips: 28.9461 images/s [10/16 00:06:44] ppdet.engine INFO: Epoch: [200] [340/366] learning_rate: 0.098320 loss_vfl: 0.870427 loss_bbox: 0.307254 loss_dfl: 0.190403 loss: 1.362752 eta: 1 day, 4:07:04 batch_cost: 2.7637 data_cost: 0.0017 ips: 28.9462 images/s [10/16 00:07:38] ppdet.engine INFO: Epoch: [200] [360/366] learning_rate: 0.098221 loss_vfl: 0.861478 loss_bbox: 0.306912 loss_dfl: 0.187120 loss: 1.364159 eta: 1 day, 4:06:06 batch_cost: 2.5634 data_cost: 0.0016 ips: 31.2085 images/s [10/16 00:08:19] ppdet.engine INFO: Epoch: [201] [ 0/366] learning_rate: 0.098192 loss_vfl: 0.859062 loss_bbox: 0.306912 loss_dfl: 0.187120 loss: 1.354883 eta: 1 day, 4:05:59 batch_cost: 3.5144 data_cost: 0.3412 ips: 22.7634 images/s [10/16 00:09:19] ppdet.engine INFO: Epoch: [201] [ 20/366] learning_rate: 0.098093 loss_vfl: 0.861114 loss_bbox: 0.301702 loss_dfl: 0.188558 loss: 1.344801 eta: 1 day, 4:05:03 batch_cost: 2.8711 data_cost: 0.0023 ips: 27.8638 images/s [10/16 00:10:17] ppdet.engine INFO: Epoch: [201] [ 40/366] learning_rate: 0.097995 loss_vfl: 0.868994 loss_bbox: 0.329198 loss_dfl: 0.204120 loss: 1.399933 eta: 1 day, 4:04:07 batch_cost: 2.7656 data_cost: 0.0016 ips: 28.9273 images/s [10/16 00:11:15] ppdet.engine INFO: Epoch: [201] [ 60/366] learning_rate: 0.097896 loss_vfl: 0.860052 loss_bbox: 0.301870 loss_dfl: 0.195207 loss: 1.355326 eta: 1 day, 4:03:11 batch_cost: 2.7641 data_cost: 0.0022 ips: 28.9425 images/s [10/16 00:12:12] ppdet.engine INFO: Epoch: [201] [ 80/366] learning_rate: 0.097798 loss_vfl: 0.859076 loss_bbox: 0.312186 loss_dfl: 0.191326 loss: 1.352532 eta: 1 day, 4:02:14 batch_cost: 2.6954 data_cost: 0.0016 ips: 29.6802 images/s [10/16 00:13:11] ppdet.engine INFO: Epoch: [201] [100/366] learning_rate: 0.097700 loss_vfl: 0.870046 loss_bbox: 0.323795 loss_dfl: 0.198154 loss: 1.398708 eta: 1 day, 4:01:19 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7078 images/s [10/16 00:14:10] ppdet.engine INFO: Epoch: [201] [120/366] learning_rate: 0.097601 loss_vfl: 0.860091 loss_bbox: 0.316304 loss_dfl: 0.194536 loss: 1.367939 eta: 1 day, 4:00:23 batch_cost: 2.7913 data_cost: 0.0016 ips: 28.6610 images/s [10/16 00:15:09] ppdet.engine INFO: Epoch: [201] [140/366] learning_rate: 0.097503 loss_vfl: 0.877372 loss_bbox: 0.304474 loss_dfl: 0.185509 loss: 1.369672 eta: 1 day, 3:59:27 batch_cost: 2.8221 data_cost: 0.0017 ips: 28.3478 images/s [10/16 00:16:07] ppdet.engine INFO: Epoch: [201] [160/366] learning_rate: 0.097405 loss_vfl: 0.868125 loss_bbox: 0.321540 loss_dfl: 0.202415 loss: 1.390846 eta: 1 day, 3:58:31 batch_cost: 2.7523 data_cost: 0.0023 ips: 29.0670 images/s [10/16 00:17:06] ppdet.engine INFO: Epoch: [201] [180/366] learning_rate: 0.097306 loss_vfl: 0.865903 loss_bbox: 0.306074 loss_dfl: 0.191287 loss: 1.353460 eta: 1 day, 3:57:35 batch_cost: 2.7682 data_cost: 0.0016 ips: 28.9000 images/s [10/16 00:18:03] ppdet.engine INFO: Epoch: [201] [200/366] learning_rate: 0.097208 loss_vfl: 0.878473 loss_bbox: 0.295706 loss_dfl: 0.187795 loss: 1.368666 eta: 1 day, 3:56:38 batch_cost: 2.7197 data_cost: 0.0022 ips: 29.4154 images/s [10/16 00:19:01] ppdet.engine INFO: Epoch: [201] [220/366] learning_rate: 0.097110 loss_vfl: 0.864142 loss_bbox: 0.309563 loss_dfl: 0.189613 loss: 1.365828 eta: 1 day, 3:55:42 batch_cost: 2.7628 data_cost: 0.0016 ips: 28.9565 images/s [10/16 00:20:01] ppdet.engine INFO: Epoch: [201] [240/366] learning_rate: 0.097012 loss_vfl: 0.868082 loss_bbox: 0.307713 loss_dfl: 0.195315 loss: 1.395425 eta: 1 day, 3:54:47 batch_cost: 2.8392 data_cost: 0.0017 ips: 28.1768 images/s [10/16 00:21:00] ppdet.engine INFO: Epoch: [201] [260/366] learning_rate: 0.096914 loss_vfl: 0.872181 loss_bbox: 0.303801 loss_dfl: 0.192270 loss: 1.378941 eta: 1 day, 3:53:51 batch_cost: 2.8136 data_cost: 0.0017 ips: 28.4330 images/s [10/16 00:21:59] ppdet.engine INFO: Epoch: [201] [280/366] learning_rate: 0.096816 loss_vfl: 0.870361 loss_bbox: 0.311307 loss_dfl: 0.197259 loss: 1.378598 eta: 1 day, 3:52:55 batch_cost: 2.7945 data_cost: 0.0016 ips: 28.6280 images/s [10/16 00:22:57] ppdet.engine INFO: Epoch: [201] [300/366] learning_rate: 0.096718 loss_vfl: 0.876089 loss_bbox: 0.309913 loss_dfl: 0.193460 loss: 1.366157 eta: 1 day, 3:51:59 batch_cost: 2.7615 data_cost: 0.0016 ips: 28.9701 images/s [10/16 00:23:55] ppdet.engine INFO: Epoch: [201] [320/366] learning_rate: 0.096620 loss_vfl: 0.854357 loss_bbox: 0.309489 loss_dfl: 0.194424 loss: 1.373758 eta: 1 day, 3:51:03 batch_cost: 2.7225 data_cost: 0.0016 ips: 29.3844 images/s [10/16 00:24:53] ppdet.engine INFO: Epoch: [201] [340/366] learning_rate: 0.096522 loss_vfl: 0.895146 loss_bbox: 0.293773 loss_dfl: 0.189781 loss: 1.379771 eta: 1 day, 3:50:07 batch_cost: 2.7579 data_cost: 0.0016 ips: 29.0075 images/s [10/16 00:25:47] ppdet.engine INFO: Epoch: [201] [360/366] learning_rate: 0.096424 loss_vfl: 0.878945 loss_bbox: 0.305371 loss_dfl: 0.193820 loss: 1.385921 eta: 1 day, 3:49:09 batch_cost: 2.5579 data_cost: 0.0016 ips: 31.2754 images/s [10/16 00:26:26] ppdet.engine INFO: Epoch: [202] [ 0/366] learning_rate: 0.096395 loss_vfl: 0.879973 loss_bbox: 0.307546 loss_dfl: 0.193820 loss: 1.385319 eta: 1 day, 3:49:00 batch_cost: 3.4459 data_cost: 0.2834 ips: 23.2158 images/s [10/16 00:27:28] ppdet.engine INFO: Epoch: [202] [ 20/366] learning_rate: 0.096297 loss_vfl: 0.857818 loss_bbox: 0.320643 loss_dfl: 0.196395 loss: 1.388831 eta: 1 day, 3:48:06 batch_cost: 2.9585 data_cost: 0.0019 ips: 27.0407 images/s [10/16 00:28:28] ppdet.engine INFO: Epoch: [202] [ 40/366] learning_rate: 0.096199 loss_vfl: 0.871777 loss_bbox: 0.313768 loss_dfl: 0.194193 loss: 1.379622 eta: 1 day, 3:47:11 batch_cost: 2.8488 data_cost: 0.0018 ips: 28.0816 images/s [10/16 00:29:29] ppdet.engine INFO: Epoch: [202] [ 60/366] learning_rate: 0.096101 loss_vfl: 0.859433 loss_bbox: 0.314060 loss_dfl: 0.193358 loss: 1.373089 eta: 1 day, 3:46:16 batch_cost: 2.8865 data_cost: 0.0024 ips: 27.7153 images/s [10/16 00:30:29] ppdet.engine INFO: Epoch: [202] [ 80/366] learning_rate: 0.096003 loss_vfl: 0.857030 loss_bbox: 0.314599 loss_dfl: 0.193633 loss: 1.364667 eta: 1 day, 3:45:21 batch_cost: 2.8470 data_cost: 0.0020 ips: 28.0997 images/s [10/16 00:31:29] ppdet.engine INFO: Epoch: [202] [100/366] learning_rate: 0.095906 loss_vfl: 0.862922 loss_bbox: 0.290648 loss_dfl: 0.186117 loss: 1.348054 eta: 1 day, 3:44:25 batch_cost: 2.8430 data_cost: 0.0017 ips: 28.1389 images/s [10/16 00:32:28] ppdet.engine INFO: Epoch: [202] [120/366] learning_rate: 0.095808 loss_vfl: 0.862075 loss_bbox: 0.305825 loss_dfl: 0.188324 loss: 1.360999 eta: 1 day, 3:43:30 batch_cost: 2.7962 data_cost: 0.0017 ips: 28.6098 images/s [10/16 00:33:27] ppdet.engine INFO: Epoch: [202] [140/366] learning_rate: 0.095710 loss_vfl: 0.882438 loss_bbox: 0.317563 loss_dfl: 0.192396 loss: 1.380499 eta: 1 day, 3:42:34 batch_cost: 2.7975 data_cost: 0.0018 ips: 28.5971 images/s [10/16 00:34:27] ppdet.engine INFO: Epoch: [202] [160/366] learning_rate: 0.095613 loss_vfl: 0.869362 loss_bbox: 0.305477 loss_dfl: 0.189606 loss: 1.375275 eta: 1 day, 3:41:38 batch_cost: 2.8413 data_cost: 0.0019 ips: 28.1559 images/s [10/16 00:35:26] ppdet.engine INFO: Epoch: [202] [180/366] learning_rate: 0.095515 loss_vfl: 0.891509 loss_bbox: 0.297594 loss_dfl: 0.188924 loss: 1.378992 eta: 1 day, 3:40:42 batch_cost: 2.7692 data_cost: 0.0018 ips: 28.8888 images/s [10/16 00:36:25] ppdet.engine INFO: Epoch: [202] [200/366] learning_rate: 0.095417 loss_vfl: 0.867128 loss_bbox: 0.319372 loss_dfl: 0.195194 loss: 1.372182 eta: 1 day, 3:39:47 batch_cost: 2.8407 data_cost: 0.0017 ips: 28.1624 images/s [10/16 00:37:26] ppdet.engine INFO: Epoch: [202] [220/366] learning_rate: 0.095320 loss_vfl: 0.857165 loss_bbox: 0.300265 loss_dfl: 0.182870 loss: 1.365431 eta: 1 day, 3:38:52 batch_cost: 2.8916 data_cost: 0.0018 ips: 27.6667 images/s [10/16 00:38:25] ppdet.engine INFO: Epoch: [202] [240/366] learning_rate: 0.095222 loss_vfl: 0.865643 loss_bbox: 0.304008 loss_dfl: 0.195687 loss: 1.360459 eta: 1 day, 3:37:56 batch_cost: 2.7776 data_cost: 0.0017 ips: 28.8022 images/s [10/16 00:39:24] ppdet.engine INFO: Epoch: [202] [260/366] learning_rate: 0.095125 loss_vfl: 0.870001 loss_bbox: 0.295819 loss_dfl: 0.187073 loss: 1.360906 eta: 1 day, 3:37:00 batch_cost: 2.8086 data_cost: 0.0016 ips: 28.4836 images/s [10/16 00:40:22] ppdet.engine INFO: Epoch: [202] [280/366] learning_rate: 0.095027 loss_vfl: 0.881792 loss_bbox: 0.304142 loss_dfl: 0.188069 loss: 1.372529 eta: 1 day, 3:36:04 batch_cost: 2.7506 data_cost: 0.0016 ips: 29.0842 images/s [10/16 00:41:22] ppdet.engine INFO: Epoch: [202] [300/366] learning_rate: 0.094930 loss_vfl: 0.877985 loss_bbox: 0.324686 loss_dfl: 0.196065 loss: 1.382190 eta: 1 day, 3:35:09 batch_cost: 2.8425 data_cost: 0.0027 ips: 28.1442 images/s [10/16 00:42:21] ppdet.engine INFO: Epoch: [202] [320/366] learning_rate: 0.094833 loss_vfl: 0.867646 loss_bbox: 0.305703 loss_dfl: 0.195832 loss: 1.374460 eta: 1 day, 3:34:13 batch_cost: 2.7657 data_cost: 0.0016 ips: 28.9254 images/s [10/16 00:43:20] ppdet.engine INFO: Epoch: [202] [340/366] learning_rate: 0.094735 loss_vfl: 0.883575 loss_bbox: 0.307824 loss_dfl: 0.197645 loss: 1.382753 eta: 1 day, 3:33:17 batch_cost: 2.8135 data_cost: 0.0016 ips: 28.4341 images/s [10/16 00:44:15] ppdet.engine INFO: Epoch: [202] [360/366] learning_rate: 0.094638 loss_vfl: 0.877643 loss_bbox: 0.284383 loss_dfl: 0.183145 loss: 1.355708 eta: 1 day, 3:32:19 batch_cost: 2.5995 data_cost: 0.0017 ips: 30.7751 images/s [10/16 00:44:54] ppdet.engine INFO: Epoch: [203] [ 0/366] learning_rate: 0.094609 loss_vfl: 0.886379 loss_bbox: 0.284096 loss_dfl: 0.180313 loss: 1.355687 eta: 1 day, 3:32:11 batch_cost: 3.4212 data_cost: 0.3703 ips: 23.3835 images/s [10/16 00:45:55] ppdet.engine INFO: Epoch: [203] [ 20/366] learning_rate: 0.094512 loss_vfl: 0.864365 loss_bbox: 0.297810 loss_dfl: 0.184846 loss: 1.357473 eta: 1 day, 3:31:16 batch_cost: 2.9352 data_cost: 0.0018 ips: 27.2551 images/s [10/16 00:46:56] ppdet.engine INFO: Epoch: [203] [ 40/366] learning_rate: 0.094414 loss_vfl: 0.860989 loss_bbox: 0.324697 loss_dfl: 0.194327 loss: 1.381127 eta: 1 day, 3:30:21 batch_cost: 2.8801 data_cost: 0.0017 ips: 27.7773 images/s [10/16 00:47:57] ppdet.engine INFO: Epoch: [203] [ 60/366] learning_rate: 0.094317 loss_vfl: 0.877697 loss_bbox: 0.318980 loss_dfl: 0.196768 loss: 1.380286 eta: 1 day, 3:29:26 batch_cost: 2.9010 data_cost: 0.0016 ips: 27.5768 images/s [10/16 00:48:55] ppdet.engine INFO: Epoch: [203] [ 80/366] learning_rate: 0.094220 loss_vfl: 0.857693 loss_bbox: 0.319091 loss_dfl: 0.197084 loss: 1.374223 eta: 1 day, 3:28:30 batch_cost: 2.7558 data_cost: 0.0016 ips: 29.0292 images/s [10/16 00:49:53] ppdet.engine INFO: Epoch: [203] [100/366] learning_rate: 0.094123 loss_vfl: 0.872031 loss_bbox: 0.307415 loss_dfl: 0.188204 loss: 1.367131 eta: 1 day, 3:27:34 batch_cost: 2.7491 data_cost: 0.0017 ips: 29.1009 images/s [10/16 00:50:54] ppdet.engine INFO: Epoch: [203] [120/366] learning_rate: 0.094026 loss_vfl: 0.864113 loss_bbox: 0.301854 loss_dfl: 0.189644 loss: 1.356048 eta: 1 day, 3:26:39 batch_cost: 2.8964 data_cost: 0.0016 ips: 27.6205 images/s [10/16 00:51:53] ppdet.engine INFO: Epoch: [203] [140/366] learning_rate: 0.093929 loss_vfl: 0.857205 loss_bbox: 0.312042 loss_dfl: 0.195363 loss: 1.354106 eta: 1 day, 3:25:43 batch_cost: 2.7811 data_cost: 0.0016 ips: 28.7658 images/s [10/16 00:52:51] ppdet.engine INFO: Epoch: [203] [160/366] learning_rate: 0.093832 loss_vfl: 0.871222 loss_bbox: 0.286837 loss_dfl: 0.185578 loss: 1.356446 eta: 1 day, 3:24:47 batch_cost: 2.7628 data_cost: 0.0016 ips: 28.9557 images/s [10/16 00:53:49] ppdet.engine INFO: Epoch: [203] [180/366] learning_rate: 0.093735 loss_vfl: 0.864728 loss_bbox: 0.303393 loss_dfl: 0.185016 loss: 1.352227 eta: 1 day, 3:23:51 batch_cost: 2.7631 data_cost: 0.0016 ips: 28.9527 images/s [10/16 00:54:48] ppdet.engine INFO: Epoch: [203] [200/366] learning_rate: 0.093638 loss_vfl: 0.865445 loss_bbox: 0.307716 loss_dfl: 0.191546 loss: 1.364246 eta: 1 day, 3:22:55 batch_cost: 2.7819 data_cost: 0.0017 ips: 28.7568 images/s [10/16 00:55:47] ppdet.engine INFO: Epoch: [203] [220/366] learning_rate: 0.093541 loss_vfl: 0.876695 loss_bbox: 0.327260 loss_dfl: 0.195878 loss: 1.394554 eta: 1 day, 3:21:59 batch_cost: 2.8032 data_cost: 0.0017 ips: 28.5385 images/s [10/16 00:56:47] ppdet.engine INFO: Epoch: [203] [240/366] learning_rate: 0.093444 loss_vfl: 0.871025 loss_bbox: 0.312690 loss_dfl: 0.186464 loss: 1.360507 eta: 1 day, 3:21:04 batch_cost: 2.8278 data_cost: 0.0017 ips: 28.2909 images/s [10/16 00:57:45] ppdet.engine INFO: Epoch: [203] [260/366] learning_rate: 0.093347 loss_vfl: 0.862562 loss_bbox: 0.300083 loss_dfl: 0.186620 loss: 1.370101 eta: 1 day, 3:20:08 batch_cost: 2.8006 data_cost: 0.0017 ips: 28.5654 images/s [10/16 00:58:44] ppdet.engine INFO: Epoch: [203] [280/366] learning_rate: 0.093250 loss_vfl: 0.882296 loss_bbox: 0.293596 loss_dfl: 0.185963 loss: 1.372210 eta: 1 day, 3:19:12 batch_cost: 2.8020 data_cost: 0.0017 ips: 28.5515 images/s [10/16 00:59:44] ppdet.engine INFO: Epoch: [203] [300/366] learning_rate: 0.093154 loss_vfl: 0.873610 loss_bbox: 0.300081 loss_dfl: 0.188868 loss: 1.362458 eta: 1 day, 3:18:16 batch_cost: 2.8136 data_cost: 0.0016 ips: 28.4336 images/s [10/16 01:00:44] ppdet.engine INFO: Epoch: [203] [320/366] learning_rate: 0.093057 loss_vfl: 0.867139 loss_bbox: 0.301123 loss_dfl: 0.191388 loss: 1.355608 eta: 1 day, 3:17:22 batch_cost: 2.8870 data_cost: 0.0016 ips: 27.7102 images/s [10/16 01:01:44] ppdet.engine INFO: Epoch: [203] [340/366] learning_rate: 0.092960 loss_vfl: 0.884452 loss_bbox: 0.312631 loss_dfl: 0.190389 loss: 1.380312 eta: 1 day, 3:16:26 batch_cost: 2.8445 data_cost: 0.0017 ips: 28.1242 images/s [10/16 01:02:38] ppdet.engine INFO: Epoch: [203] [360/366] learning_rate: 0.092864 loss_vfl: 0.872154 loss_bbox: 0.290788 loss_dfl: 0.187053 loss: 1.346806 eta: 1 day, 3:15:28 batch_cost: 2.5576 data_cost: 0.0016 ips: 31.2797 images/s [10/16 01:03:19] ppdet.engine INFO: Epoch: [204] [ 0/366] learning_rate: 0.092835 loss_vfl: 0.863084 loss_bbox: 0.301291 loss_dfl: 0.188674 loss: 1.370334 eta: 1 day, 3:15:21 batch_cost: 3.5433 data_cost: 0.2479 ips: 22.5776 images/s [10/16 01:04:18] ppdet.engine INFO: Epoch: [204] [ 20/366] learning_rate: 0.092738 loss_vfl: 0.860756 loss_bbox: 0.314867 loss_dfl: 0.193534 loss: 1.373044 eta: 1 day, 3:14:25 batch_cost: 2.7791 data_cost: 0.0017 ips: 28.7862 images/s [10/16 01:05:17] ppdet.engine INFO: Epoch: [204] [ 40/366] learning_rate: 0.092641 loss_vfl: 0.868207 loss_bbox: 0.302084 loss_dfl: 0.188791 loss: 1.337257 eta: 1 day, 3:13:29 batch_cost: 2.7996 data_cost: 0.0016 ips: 28.5752 images/s [10/16 01:06:14] ppdet.engine INFO: Epoch: [204] [ 60/366] learning_rate: 0.092545 loss_vfl: 0.859020 loss_bbox: 0.303535 loss_dfl: 0.194912 loss: 1.356429 eta: 1 day, 3:12:32 batch_cost: 2.6890 data_cost: 0.0016 ips: 29.7507 images/s [10/16 01:07:12] ppdet.engine INFO: Epoch: [204] [ 80/366] learning_rate: 0.092448 loss_vfl: 0.863408 loss_bbox: 0.284842 loss_dfl: 0.181491 loss: 1.331589 eta: 1 day, 3:11:36 batch_cost: 2.7628 data_cost: 0.0016 ips: 28.9561 images/s [10/16 01:08:10] ppdet.engine INFO: Epoch: [204] [100/366] learning_rate: 0.092352 loss_vfl: 0.875767 loss_bbox: 0.304919 loss_dfl: 0.188177 loss: 1.356113 eta: 1 day, 3:10:40 batch_cost: 2.7553 data_cost: 0.0016 ips: 29.0344 images/s [10/16 01:09:07] ppdet.engine INFO: Epoch: [204] [120/366] learning_rate: 0.092255 loss_vfl: 0.861687 loss_bbox: 0.305418 loss_dfl: 0.194698 loss: 1.354558 eta: 1 day, 3:09:43 batch_cost: 2.7367 data_cost: 0.0016 ips: 29.2320 images/s [10/16 01:10:05] ppdet.engine INFO: Epoch: [204] [140/366] learning_rate: 0.092159 loss_vfl: 0.859905 loss_bbox: 0.318065 loss_dfl: 0.194017 loss: 1.372089 eta: 1 day, 3:08:47 batch_cost: 2.7174 data_cost: 0.0016 ips: 29.4401 images/s [10/16 01:11:02] ppdet.engine INFO: Epoch: [204] [160/366] learning_rate: 0.092063 loss_vfl: 0.881689 loss_bbox: 0.311890 loss_dfl: 0.192351 loss: 1.374476 eta: 1 day, 3:07:51 batch_cost: 2.7480 data_cost: 0.0016 ips: 29.1124 images/s [10/16 01:12:01] ppdet.engine INFO: Epoch: [204] [180/366] learning_rate: 0.091966 loss_vfl: 0.878426 loss_bbox: 0.290653 loss_dfl: 0.185280 loss: 1.352901 eta: 1 day, 3:06:54 batch_cost: 2.7678 data_cost: 0.0016 ips: 28.9034 images/s [10/16 01:12:59] ppdet.engine INFO: Epoch: [204] [200/366] learning_rate: 0.091870 loss_vfl: 0.867000 loss_bbox: 0.288302 loss_dfl: 0.192077 loss: 1.363716 eta: 1 day, 3:05:58 batch_cost: 2.7639 data_cost: 0.0016 ips: 28.9451 images/s [10/16 01:13:57] ppdet.engine INFO: Epoch: [204] [220/366] learning_rate: 0.091774 loss_vfl: 0.858754 loss_bbox: 0.310090 loss_dfl: 0.196173 loss: 1.363727 eta: 1 day, 3:05:02 batch_cost: 2.7550 data_cost: 0.0017 ips: 29.0383 images/s [10/16 01:14:56] ppdet.engine INFO: Epoch: [204] [240/366] learning_rate: 0.091678 loss_vfl: 0.871891 loss_bbox: 0.311692 loss_dfl: 0.193742 loss: 1.371500 eta: 1 day, 3:04:06 batch_cost: 2.7925 data_cost: 0.0017 ips: 28.6486 images/s [10/16 01:15:54] ppdet.engine INFO: Epoch: [204] [260/366] learning_rate: 0.091581 loss_vfl: 0.863514 loss_bbox: 0.322062 loss_dfl: 0.197341 loss: 1.378956 eta: 1 day, 3:03:10 batch_cost: 2.7539 data_cost: 0.0016 ips: 29.0499 images/s [10/16 01:16:52] ppdet.engine INFO: Epoch: [204] [280/366] learning_rate: 0.091485 loss_vfl: 0.868227 loss_bbox: 0.312577 loss_dfl: 0.193443 loss: 1.370919 eta: 1 day, 3:02:14 batch_cost: 2.7408 data_cost: 0.0023 ips: 29.1890 images/s [10/16 01:17:50] ppdet.engine INFO: Epoch: [204] [300/366] learning_rate: 0.091389 loss_vfl: 0.848831 loss_bbox: 0.317466 loss_dfl: 0.196201 loss: 1.373478 eta: 1 day, 3:01:18 batch_cost: 2.7528 data_cost: 0.0016 ips: 29.0618 images/s [10/16 01:18:48] ppdet.engine INFO: Epoch: [204] [320/366] learning_rate: 0.091293 loss_vfl: 0.868495 loss_bbox: 0.315493 loss_dfl: 0.196154 loss: 1.390055 eta: 1 day, 3:00:21 batch_cost: 2.7273 data_cost: 0.0016 ips: 29.3334 images/s [10/16 01:19:46] ppdet.engine INFO: Epoch: [204] [340/366] learning_rate: 0.091197 loss_vfl: 0.863589 loss_bbox: 0.295104 loss_dfl: 0.180599 loss: 1.362354 eta: 1 day, 2:59:25 batch_cost: 2.7856 data_cost: 0.0016 ips: 28.7194 images/s [10/16 01:20:40] ppdet.engine INFO: Epoch: [204] [360/366] learning_rate: 0.091101 loss_vfl: 0.877006 loss_bbox: 0.318650 loss_dfl: 0.194291 loss: 1.386877 eta: 1 day, 2:58:27 batch_cost: 2.5299 data_cost: 0.0016 ips: 31.6212 images/s [10/16 01:21:19] ppdet.engine INFO: Epoch: [205] [ 0/366] learning_rate: 0.091072 loss_vfl: 0.867144 loss_bbox: 0.316152 loss_dfl: 0.196427 loss: 1.395366 eta: 1 day, 2:58:18 batch_cost: 3.4212 data_cost: 0.5309 ips: 23.3838 images/s [10/16 01:22:17] ppdet.engine INFO: Epoch: [205] [ 20/366] learning_rate: 0.090976 loss_vfl: 0.845741 loss_bbox: 0.310937 loss_dfl: 0.198464 loss: 1.355094 eta: 1 day, 2:57:22 batch_cost: 2.7463 data_cost: 0.0017 ips: 29.1304 images/s [10/16 01:23:14] ppdet.engine INFO: Epoch: [205] [ 40/366] learning_rate: 0.090880 loss_vfl: 0.870901 loss_bbox: 0.294194 loss_dfl: 0.183704 loss: 1.361202 eta: 1 day, 2:56:25 batch_cost: 2.7104 data_cost: 0.0017 ips: 29.5164 images/s [10/16 01:24:13] ppdet.engine INFO: Epoch: [205] [ 60/366] learning_rate: 0.090784 loss_vfl: 0.873005 loss_bbox: 0.289521 loss_dfl: 0.185298 loss: 1.354456 eta: 1 day, 2:55:30 batch_cost: 2.7990 data_cost: 0.0016 ips: 28.5816 images/s [10/16 01:25:10] ppdet.engine INFO: Epoch: [205] [ 80/366] learning_rate: 0.090689 loss_vfl: 0.864247 loss_bbox: 0.315393 loss_dfl: 0.197636 loss: 1.379002 eta: 1 day, 2:54:33 batch_cost: 2.7372 data_cost: 0.0017 ips: 29.2267 images/s [10/16 01:26:08] ppdet.engine INFO: Epoch: [205] [100/366] learning_rate: 0.090593 loss_vfl: 0.862326 loss_bbox: 0.288646 loss_dfl: 0.185263 loss: 1.333118 eta: 1 day, 2:53:37 batch_cost: 2.7415 data_cost: 0.0016 ips: 29.1814 images/s [10/16 01:27:06] ppdet.engine INFO: Epoch: [205] [120/366] learning_rate: 0.090497 loss_vfl: 0.862032 loss_bbox: 0.312297 loss_dfl: 0.195958 loss: 1.371533 eta: 1 day, 2:52:41 batch_cost: 2.7474 data_cost: 0.0016 ips: 29.1188 images/s [10/16 01:28:04] ppdet.engine INFO: Epoch: [205] [140/366] learning_rate: 0.090401 loss_vfl: 0.860996 loss_bbox: 0.304112 loss_dfl: 0.190870 loss: 1.361566 eta: 1 day, 2:51:45 batch_cost: 2.7624 data_cost: 0.0017 ips: 28.9605 images/s [10/16 01:29:02] ppdet.engine INFO: Epoch: [205] [160/366] learning_rate: 0.090305 loss_vfl: 0.866433 loss_bbox: 0.295968 loss_dfl: 0.190215 loss: 1.357078 eta: 1 day, 2:50:48 batch_cost: 2.7203 data_cost: 0.0022 ips: 29.4084 images/s [10/16 01:30:00] ppdet.engine INFO: Epoch: [205] [180/366] learning_rate: 0.090210 loss_vfl: 0.855327 loss_bbox: 0.281664 loss_dfl: 0.181822 loss: 1.328439 eta: 1 day, 2:49:52 batch_cost: 2.7693 data_cost: 0.0017 ips: 28.8884 images/s [10/16 01:30:59] ppdet.engine INFO: Epoch: [205] [200/366] learning_rate: 0.090114 loss_vfl: 0.853749 loss_bbox: 0.312379 loss_dfl: 0.192773 loss: 1.368376 eta: 1 day, 2:48:56 batch_cost: 2.8012 data_cost: 0.0018 ips: 28.5594 images/s [10/16 01:31:59] ppdet.engine INFO: Epoch: [205] [220/366] learning_rate: 0.090019 loss_vfl: 0.875752 loss_bbox: 0.313960 loss_dfl: 0.189508 loss: 1.373062 eta: 1 day, 2:48:01 batch_cost: 2.8358 data_cost: 0.0029 ips: 28.2105 images/s [10/16 01:32:58] ppdet.engine INFO: Epoch: [205] [240/366] learning_rate: 0.089923 loss_vfl: 0.880030 loss_bbox: 0.298986 loss_dfl: 0.189400 loss: 1.379585 eta: 1 day, 2:47:05 batch_cost: 2.8206 data_cost: 0.0016 ips: 28.3624 images/s [10/16 01:33:57] ppdet.engine INFO: Epoch: [205] [260/366] learning_rate: 0.089827 loss_vfl: 0.863917 loss_bbox: 0.324964 loss_dfl: 0.195730 loss: 1.382310 eta: 1 day, 2:46:09 batch_cost: 2.7943 data_cost: 0.0023 ips: 28.6297 images/s [10/16 01:34:56] ppdet.engine INFO: Epoch: [205] [280/366] learning_rate: 0.089732 loss_vfl: 0.872740 loss_bbox: 0.305591 loss_dfl: 0.190590 loss: 1.356301 eta: 1 day, 2:45:13 batch_cost: 2.7846 data_cost: 0.0024 ips: 28.7291 images/s [10/16 01:35:56] ppdet.engine INFO: Epoch: [205] [300/366] learning_rate: 0.089636 loss_vfl: 0.873280 loss_bbox: 0.292083 loss_dfl: 0.185345 loss: 1.357894 eta: 1 day, 2:44:18 batch_cost: 2.8036 data_cost: 0.0017 ips: 28.5349 images/s [10/16 01:36:55] ppdet.engine INFO: Epoch: [205] [320/366] learning_rate: 0.089541 loss_vfl: 0.867438 loss_bbox: 0.321128 loss_dfl: 0.195628 loss: 1.387432 eta: 1 day, 2:43:22 batch_cost: 2.8058 data_cost: 0.0018 ips: 28.5123 images/s [10/16 01:37:54] ppdet.engine INFO: Epoch: [205] [340/366] learning_rate: 0.089446 loss_vfl: 0.862092 loss_bbox: 0.317408 loss_dfl: 0.198663 loss: 1.370663 eta: 1 day, 2:42:26 batch_cost: 2.8032 data_cost: 0.0016 ips: 28.5392 images/s [10/16 01:38:47] ppdet.engine INFO: Epoch: [205] [360/366] learning_rate: 0.089350 loss_vfl: 0.865581 loss_bbox: 0.303277 loss_dfl: 0.186915 loss: 1.340475 eta: 1 day, 2:41:28 batch_cost: 2.5257 data_cost: 0.0016 ips: 31.6746 images/s [10/16 01:39:23] ppdet.engine INFO: Epoch: [206] [ 0/366] learning_rate: 0.089322 loss_vfl: 0.870906 loss_bbox: 0.296544 loss_dfl: 0.182297 loss: 1.338124 eta: 1 day, 2:41:18 batch_cost: 3.2667 data_cost: 0.4111 ips: 24.4895 images/s [10/16 01:40:25] ppdet.engine INFO: Epoch: [206] [ 20/366] learning_rate: 0.089226 loss_vfl: 0.847369 loss_bbox: 0.313076 loss_dfl: 0.195947 loss: 1.365346 eta: 1 day, 2:40:23 batch_cost: 2.8934 data_cost: 0.0017 ips: 27.6490 images/s [10/16 01:41:27] ppdet.engine INFO: Epoch: [206] [ 40/366] learning_rate: 0.089131 loss_vfl: 0.863907 loss_bbox: 0.312139 loss_dfl: 0.194129 loss: 1.377036 eta: 1 day, 2:39:28 batch_cost: 2.9077 data_cost: 0.0017 ips: 27.5130 images/s [10/16 01:42:27] ppdet.engine INFO: Epoch: [206] [ 60/366] learning_rate: 0.089036 loss_vfl: 0.863069 loss_bbox: 0.300115 loss_dfl: 0.191356 loss: 1.363967 eta: 1 day, 2:38:33 batch_cost: 2.8304 data_cost: 0.0016 ips: 28.2648 images/s [10/16 01:43:27] ppdet.engine INFO: Epoch: [206] [ 80/366] learning_rate: 0.088941 loss_vfl: 0.858438 loss_bbox: 0.312550 loss_dfl: 0.198558 loss: 1.366775 eta: 1 day, 2:37:38 batch_cost: 2.8732 data_cost: 0.0016 ips: 27.8434 images/s [10/16 01:44:27] ppdet.engine INFO: Epoch: [206] [100/366] learning_rate: 0.088846 loss_vfl: 0.850074 loss_bbox: 0.313596 loss_dfl: 0.193261 loss: 1.356650 eta: 1 day, 2:36:42 batch_cost: 2.8558 data_cost: 0.0023 ips: 28.0132 images/s [10/16 01:45:28] ppdet.engine INFO: Epoch: [206] [120/366] learning_rate: 0.088750 loss_vfl: 0.877469 loss_bbox: 0.299061 loss_dfl: 0.188362 loss: 1.349594 eta: 1 day, 2:35:47 batch_cost: 2.8718 data_cost: 0.0017 ips: 27.8575 images/s [10/16 01:46:27] ppdet.engine INFO: Epoch: [206] [140/366] learning_rate: 0.088655 loss_vfl: 0.867905 loss_bbox: 0.299147 loss_dfl: 0.182899 loss: 1.373525 eta: 1 day, 2:34:51 batch_cost: 2.8077 data_cost: 0.0016 ips: 28.4935 images/s [10/16 01:47:26] ppdet.engine INFO: Epoch: [206] [160/366] learning_rate: 0.088560 loss_vfl: 0.871517 loss_bbox: 0.303811 loss_dfl: 0.190739 loss: 1.377069 eta: 1 day, 2:33:56 batch_cost: 2.8013 data_cost: 0.0017 ips: 28.5585 images/s [10/16 01:48:24] ppdet.engine INFO: Epoch: [206] [180/366] learning_rate: 0.088465 loss_vfl: 0.865245 loss_bbox: 0.308863 loss_dfl: 0.190222 loss: 1.362027 eta: 1 day, 2:33:00 batch_cost: 2.7946 data_cost: 0.0016 ips: 28.6263 images/s [10/16 01:49:23] ppdet.engine INFO: Epoch: [206] [200/366] learning_rate: 0.088370 loss_vfl: 0.845996 loss_bbox: 0.308343 loss_dfl: 0.195931 loss: 1.361283 eta: 1 day, 2:32:04 batch_cost: 2.7949 data_cost: 0.0016 ips: 28.6236 images/s [10/16 01:50:25] ppdet.engine INFO: Epoch: [206] [220/366] learning_rate: 0.088275 loss_vfl: 0.866014 loss_bbox: 0.308478 loss_dfl: 0.191631 loss: 1.371732 eta: 1 day, 2:31:09 batch_cost: 2.9098 data_cost: 0.0016 ips: 27.4937 images/s [10/16 01:51:26] ppdet.engine INFO: Epoch: [206] [240/366] learning_rate: 0.088180 loss_vfl: 0.874710 loss_bbox: 0.302787 loss_dfl: 0.184503 loss: 1.377833 eta: 1 day, 2:30:14 batch_cost: 2.9019 data_cost: 0.0016 ips: 27.5684 images/s [10/16 01:52:27] ppdet.engine INFO: Epoch: [206] [260/366] learning_rate: 0.088086 loss_vfl: 0.867460 loss_bbox: 0.300490 loss_dfl: 0.186055 loss: 1.358393 eta: 1 day, 2:29:19 batch_cost: 2.9029 data_cost: 0.0023 ips: 27.5590 images/s [10/16 01:53:27] ppdet.engine INFO: Epoch: [206] [280/366] learning_rate: 0.087991 loss_vfl: 0.873192 loss_bbox: 0.303847 loss_dfl: 0.192475 loss: 1.372379 eta: 1 day, 2:28:24 batch_cost: 2.8207 data_cost: 0.0017 ips: 28.3621 images/s [10/16 01:54:26] ppdet.engine INFO: Epoch: [206] [300/366] learning_rate: 0.087896 loss_vfl: 0.878162 loss_bbox: 0.301154 loss_dfl: 0.191793 loss: 1.364681 eta: 1 day, 2:27:28 batch_cost: 2.7893 data_cost: 0.0016 ips: 28.6815 images/s [10/16 01:55:26] ppdet.engine INFO: Epoch: [206] [320/366] learning_rate: 0.087801 loss_vfl: 0.874533 loss_bbox: 0.295094 loss_dfl: 0.195044 loss: 1.361747 eta: 1 day, 2:26:33 batch_cost: 2.8606 data_cost: 0.0016 ips: 27.9657 images/s [10/16 01:56:27] ppdet.engine INFO: Epoch: [206] [340/366] learning_rate: 0.087706 loss_vfl: 0.868808 loss_bbox: 0.285151 loss_dfl: 0.182628 loss: 1.344120 eta: 1 day, 2:25:38 batch_cost: 2.8873 data_cost: 0.0016 ips: 27.7073 images/s [10/16 01:57:22] ppdet.engine INFO: Epoch: [206] [360/366] learning_rate: 0.087612 loss_vfl: 0.876128 loss_bbox: 0.317715 loss_dfl: 0.198479 loss: 1.372480 eta: 1 day, 2:24:40 batch_cost: 2.5444 data_cost: 0.0016 ips: 31.4414 images/s [10/16 01:58:03] ppdet.engine INFO: Epoch: [207] [ 0/366] learning_rate: 0.087583 loss_vfl: 0.871420 loss_bbox: 0.299415 loss_dfl: 0.189658 loss: 1.367147 eta: 1 day, 2:24:32 batch_cost: 3.5389 data_cost: 0.5678 ips: 22.6059 images/s [10/16 01:59:02] ppdet.engine INFO: Epoch: [207] [ 20/366] learning_rate: 0.087489 loss_vfl: 0.851860 loss_bbox: 0.320137 loss_dfl: 0.199744 loss: 1.371535 eta: 1 day, 2:23:36 batch_cost: 2.8225 data_cost: 0.0019 ips: 28.3440 images/s [10/16 02:00:02] ppdet.engine INFO: Epoch: [207] [ 40/366] learning_rate: 0.087394 loss_vfl: 0.869246 loss_bbox: 0.304633 loss_dfl: 0.194129 loss: 1.357731 eta: 1 day, 2:22:41 batch_cost: 2.8181 data_cost: 0.0033 ips: 28.3881 images/s [10/16 02:01:02] ppdet.engine INFO: Epoch: [207] [ 60/366] learning_rate: 0.087300 loss_vfl: 0.868903 loss_bbox: 0.307915 loss_dfl: 0.197901 loss: 1.364604 eta: 1 day, 2:21:46 batch_cost: 2.8710 data_cost: 0.0017 ips: 27.8649 images/s [10/16 02:02:01] ppdet.engine INFO: Epoch: [207] [ 80/366] learning_rate: 0.087205 loss_vfl: 0.873008 loss_bbox: 0.300355 loss_dfl: 0.188438 loss: 1.338345 eta: 1 day, 2:20:50 batch_cost: 2.7987 data_cost: 0.0017 ips: 28.5843 images/s [10/16 02:03:02] ppdet.engine INFO: Epoch: [207] [100/366] learning_rate: 0.087110 loss_vfl: 0.860956 loss_bbox: 0.303436 loss_dfl: 0.186323 loss: 1.363028 eta: 1 day, 2:19:55 batch_cost: 2.9029 data_cost: 0.0017 ips: 27.5590 images/s [10/16 02:04:01] ppdet.engine INFO: Epoch: [207] [120/366] learning_rate: 0.087016 loss_vfl: 0.864843 loss_bbox: 0.300287 loss_dfl: 0.195412 loss: 1.367441 eta: 1 day, 2:18:59 batch_cost: 2.8054 data_cost: 0.0017 ips: 28.5161 images/s [10/16 02:05:00] ppdet.engine INFO: Epoch: [207] [140/366] learning_rate: 0.086922 loss_vfl: 0.851613 loss_bbox: 0.303124 loss_dfl: 0.188349 loss: 1.345933 eta: 1 day, 2:18:03 batch_cost: 2.7759 data_cost: 0.0017 ips: 28.8192 images/s [10/16 02:05:59] ppdet.engine INFO: Epoch: [207] [160/366] learning_rate: 0.086827 loss_vfl: 0.861119 loss_bbox: 0.301629 loss_dfl: 0.191971 loss: 1.342687 eta: 1 day, 2:17:07 batch_cost: 2.8061 data_cost: 0.0017 ips: 28.5092 images/s [10/16 02:06:59] ppdet.engine INFO: Epoch: [207] [180/366] learning_rate: 0.086733 loss_vfl: 0.857481 loss_bbox: 0.302292 loss_dfl: 0.187077 loss: 1.346354 eta: 1 day, 2:16:12 batch_cost: 2.8350 data_cost: 0.0017 ips: 28.2186 images/s [10/16 02:07:58] ppdet.engine INFO: Epoch: [207] [200/366] learning_rate: 0.086639 loss_vfl: 0.852368 loss_bbox: 0.305917 loss_dfl: 0.188373 loss: 1.364794 eta: 1 day, 2:15:16 batch_cost: 2.8331 data_cost: 0.0027 ips: 28.2378 images/s [10/16 02:08:57] ppdet.engine INFO: Epoch: [207] [220/366] learning_rate: 0.086544 loss_vfl: 0.864385 loss_bbox: 0.288452 loss_dfl: 0.182178 loss: 1.348819 eta: 1 day, 2:14:20 batch_cost: 2.7929 data_cost: 0.0017 ips: 28.6439 images/s [10/16 02:09:55] ppdet.engine INFO: Epoch: [207] [240/366] learning_rate: 0.086450 loss_vfl: 0.872270 loss_bbox: 0.315252 loss_dfl: 0.196318 loss: 1.388848 eta: 1 day, 2:13:24 batch_cost: 2.7734 data_cost: 0.0016 ips: 28.8452 images/s [10/16 02:10:55] ppdet.engine INFO: Epoch: [207] [260/366] learning_rate: 0.086356 loss_vfl: 0.854355 loss_bbox: 0.314129 loss_dfl: 0.194960 loss: 1.368540 eta: 1 day, 2:12:29 batch_cost: 2.8443 data_cost: 0.0018 ips: 28.1261 images/s [10/16 02:11:55] ppdet.engine INFO: Epoch: [207] [280/366] learning_rate: 0.086262 loss_vfl: 0.859932 loss_bbox: 0.306827 loss_dfl: 0.188551 loss: 1.361596 eta: 1 day, 2:11:34 batch_cost: 2.8579 data_cost: 0.0016 ips: 27.9927 images/s [10/16 02:12:54] ppdet.engine INFO: Epoch: [207] [300/366] learning_rate: 0.086168 loss_vfl: 0.860078 loss_bbox: 0.292382 loss_dfl: 0.186979 loss: 1.357712 eta: 1 day, 2:10:38 batch_cost: 2.7842 data_cost: 0.0017 ips: 28.7339 images/s [10/16 02:13:52] ppdet.engine INFO: Epoch: [207] [320/366] learning_rate: 0.086074 loss_vfl: 0.858324 loss_bbox: 0.314551 loss_dfl: 0.188041 loss: 1.356313 eta: 1 day, 2:09:41 batch_cost: 2.7383 data_cost: 0.0016 ips: 29.2154 images/s [10/16 02:14:50] ppdet.engine INFO: Epoch: [207] [340/366] learning_rate: 0.085979 loss_vfl: 0.861268 loss_bbox: 0.306052 loss_dfl: 0.193443 loss: 1.350382 eta: 1 day, 2:08:45 batch_cost: 2.7692 data_cost: 0.0017 ips: 28.8893 images/s [10/16 02:15:43] ppdet.engine INFO: Epoch: [207] [360/366] learning_rate: 0.085885 loss_vfl: 0.872737 loss_bbox: 0.308814 loss_dfl: 0.197331 loss: 1.388650 eta: 1 day, 2:07:47 batch_cost: 2.4644 data_cost: 0.0017 ips: 32.4627 images/s [10/16 02:16:22] ppdet.engine INFO: Epoch: [208] [ 0/366] learning_rate: 0.085857 loss_vfl: 0.856831 loss_bbox: 0.313045 loss_dfl: 0.190367 loss: 1.377902 eta: 1 day, 2:07:38 batch_cost: 3.4039 data_cost: 0.3856 ips: 23.5024 images/s [10/16 02:17:25] ppdet.engine INFO: Epoch: [208] [ 20/366] learning_rate: 0.085763 loss_vfl: 0.845980 loss_bbox: 0.293587 loss_dfl: 0.181900 loss: 1.322635 eta: 1 day, 2:06:43 batch_cost: 2.9676 data_cost: 0.0024 ips: 26.9577 images/s [10/16 02:18:25] ppdet.engine INFO: Epoch: [208] [ 40/366] learning_rate: 0.085669 loss_vfl: 0.849814 loss_bbox: 0.323129 loss_dfl: 0.196839 loss: 1.371973 eta: 1 day, 2:05:48 batch_cost: 2.8796 data_cost: 0.0016 ips: 27.7818 images/s [10/16 02:19:26] ppdet.engine INFO: Epoch: [208] [ 60/366] learning_rate: 0.085576 loss_vfl: 0.856050 loss_bbox: 0.332553 loss_dfl: 0.202692 loss: 1.392005 eta: 1 day, 2:04:53 batch_cost: 2.8707 data_cost: 0.0016 ips: 27.8679 images/s [10/16 02:20:24] ppdet.engine INFO: Epoch: [208] [ 80/366] learning_rate: 0.085482 loss_vfl: 0.847912 loss_bbox: 0.300673 loss_dfl: 0.191184 loss: 1.336309 eta: 1 day, 2:03:57 batch_cost: 2.7891 data_cost: 0.0016 ips: 28.6831 images/s [10/16 02:21:24] ppdet.engine INFO: Epoch: [208] [100/366] learning_rate: 0.085388 loss_vfl: 0.854029 loss_bbox: 0.295954 loss_dfl: 0.188629 loss: 1.343043 eta: 1 day, 2:03:02 batch_cost: 2.8170 data_cost: 0.0017 ips: 28.3993 images/s [10/16 02:22:23] ppdet.engine INFO: Epoch: [208] [120/366] learning_rate: 0.085294 loss_vfl: 0.869647 loss_bbox: 0.311581 loss_dfl: 0.192877 loss: 1.376529 eta: 1 day, 2:02:06 batch_cost: 2.7850 data_cost: 0.0017 ips: 28.7257 images/s [10/16 02:23:21] ppdet.engine INFO: Epoch: [208] [140/366] learning_rate: 0.085200 loss_vfl: 0.840174 loss_bbox: 0.299507 loss_dfl: 0.190908 loss: 1.352602 eta: 1 day, 2:01:10 batch_cost: 2.7722 data_cost: 0.0034 ips: 28.8578 images/s [10/16 02:24:20] ppdet.engine INFO: Epoch: [208] [160/366] learning_rate: 0.085107 loss_vfl: 0.862389 loss_bbox: 0.322844 loss_dfl: 0.195241 loss: 1.378305 eta: 1 day, 2:00:14 batch_cost: 2.7966 data_cost: 0.0018 ips: 28.6057 images/s [10/16 02:25:19] ppdet.engine INFO: Epoch: [208] [180/366] learning_rate: 0.085013 loss_vfl: 0.843254 loss_bbox: 0.307403 loss_dfl: 0.191853 loss: 1.345850 eta: 1 day, 1:59:18 batch_cost: 2.7923 data_cost: 0.0028 ips: 28.6502 images/s [10/16 02:26:18] ppdet.engine INFO: Epoch: [208] [200/366] learning_rate: 0.084919 loss_vfl: 0.867739 loss_bbox: 0.314462 loss_dfl: 0.192367 loss: 1.369808 eta: 1 day, 1:58:22 batch_cost: 2.8023 data_cost: 0.0016 ips: 28.5476 images/s [10/16 02:27:17] ppdet.engine INFO: Epoch: [208] [220/366] learning_rate: 0.084826 loss_vfl: 0.859879 loss_bbox: 0.293305 loss_dfl: 0.182579 loss: 1.338239 eta: 1 day, 1:57:26 batch_cost: 2.7572 data_cost: 0.0023 ips: 29.0153 images/s [10/16 02:28:16] ppdet.engine INFO: Epoch: [208] [240/366] learning_rate: 0.084732 loss_vfl: 0.875242 loss_bbox: 0.302296 loss_dfl: 0.194427 loss: 1.369253 eta: 1 day, 1:56:30 batch_cost: 2.7896 data_cost: 0.0017 ips: 28.6780 images/s [10/16 02:29:16] ppdet.engine INFO: Epoch: [208] [260/366] learning_rate: 0.084639 loss_vfl: 0.868064 loss_bbox: 0.307453 loss_dfl: 0.189784 loss: 1.343028 eta: 1 day, 1:55:35 batch_cost: 2.8748 data_cost: 0.0019 ips: 27.8282 images/s [10/16 02:30:15] ppdet.engine INFO: Epoch: [208] [280/366] learning_rate: 0.084545 loss_vfl: 0.867325 loss_bbox: 0.293041 loss_dfl: 0.187448 loss: 1.338317 eta: 1 day, 1:54:39 batch_cost: 2.8007 data_cost: 0.0017 ips: 28.5644 images/s [10/16 02:31:15] ppdet.engine INFO: Epoch: [208] [300/366] learning_rate: 0.084452 loss_vfl: 0.860424 loss_bbox: 0.319183 loss_dfl: 0.197442 loss: 1.374791 eta: 1 day, 1:53:43 batch_cost: 2.8138 data_cost: 0.0017 ips: 28.4313 images/s [10/16 02:32:14] ppdet.engine INFO: Epoch: [208] [320/366] learning_rate: 0.084358 loss_vfl: 0.860563 loss_bbox: 0.302181 loss_dfl: 0.191291 loss: 1.348485 eta: 1 day, 1:52:48 batch_cost: 2.8331 data_cost: 0.0024 ips: 28.2373 images/s [10/16 02:33:15] ppdet.engine INFO: Epoch: [208] [340/366] learning_rate: 0.084265 loss_vfl: 0.870706 loss_bbox: 0.300689 loss_dfl: 0.199842 loss: 1.375409 eta: 1 day, 1:51:53 batch_cost: 2.9044 data_cost: 0.0018 ips: 27.5446 images/s [10/16 02:34:10] ppdet.engine INFO: Epoch: [208] [360/366] learning_rate: 0.084172 loss_vfl: 0.869266 loss_bbox: 0.318646 loss_dfl: 0.196609 loss: 1.393269 eta: 1 day, 1:50:55 batch_cost: 2.5876 data_cost: 0.0027 ips: 30.9166 images/s [10/16 02:34:49] ppdet.engine INFO: Epoch: [209] [ 0/366] learning_rate: 0.084144 loss_vfl: 0.864529 loss_bbox: 0.328247 loss_dfl: 0.196609 loss: 1.392983 eta: 1 day, 1:50:46 batch_cost: 3.4263 data_cost: 0.3580 ips: 23.3485 images/s [10/16 02:35:51] ppdet.engine INFO: Epoch: [209] [ 20/366] learning_rate: 0.084050 loss_vfl: 0.849225 loss_bbox: 0.300917 loss_dfl: 0.193339 loss: 1.371719 eta: 1 day, 1:49:51 batch_cost: 2.9113 data_cost: 0.0017 ips: 27.4789 images/s [10/16 02:36:51] ppdet.engine INFO: Epoch: [209] [ 40/366] learning_rate: 0.083957 loss_vfl: 0.862642 loss_bbox: 0.315321 loss_dfl: 0.201854 loss: 1.388982 eta: 1 day, 1:48:56 batch_cost: 2.8714 data_cost: 0.0017 ips: 27.8606 images/s [10/16 02:37:48] ppdet.engine INFO: Epoch: [209] [ 60/366] learning_rate: 0.083864 loss_vfl: 0.856742 loss_bbox: 0.311238 loss_dfl: 0.190366 loss: 1.371029 eta: 1 day, 1:47:59 batch_cost: 2.7148 data_cost: 0.0019 ips: 29.4676 images/s [10/16 02:38:48] ppdet.engine INFO: Epoch: [209] [ 80/366] learning_rate: 0.083771 loss_vfl: 0.864046 loss_bbox: 0.316628 loss_dfl: 0.191965 loss: 1.367359 eta: 1 day, 1:47:04 batch_cost: 2.8018 data_cost: 0.0016 ips: 28.5535 images/s [10/16 02:39:48] ppdet.engine INFO: Epoch: [209] [100/366] learning_rate: 0.083678 loss_vfl: 0.848485 loss_bbox: 0.311071 loss_dfl: 0.193186 loss: 1.357978 eta: 1 day, 1:46:08 batch_cost: 2.8559 data_cost: 0.0017 ips: 28.0120 images/s [10/16 02:40:48] ppdet.engine INFO: Epoch: [209] [120/366] learning_rate: 0.083585 loss_vfl: 0.873011 loss_bbox: 0.286283 loss_dfl: 0.187442 loss: 1.342838 eta: 1 day, 1:45:13 batch_cost: 2.8376 data_cost: 0.0022 ips: 28.1933 images/s [10/16 02:41:47] ppdet.engine INFO: Epoch: [209] [140/366] learning_rate: 0.083492 loss_vfl: 0.860508 loss_bbox: 0.314589 loss_dfl: 0.190031 loss: 1.380169 eta: 1 day, 1:44:17 batch_cost: 2.7946 data_cost: 0.0016 ips: 28.6262 images/s [10/16 02:42:47] ppdet.engine INFO: Epoch: [209] [160/366] learning_rate: 0.083399 loss_vfl: 0.852082 loss_bbox: 0.305309 loss_dfl: 0.191672 loss: 1.358407 eta: 1 day, 1:43:21 batch_cost: 2.8419 data_cost: 0.0018 ips: 28.1505 images/s [10/16 02:43:46] ppdet.engine INFO: Epoch: [209] [180/366] learning_rate: 0.083306 loss_vfl: 0.874645 loss_bbox: 0.297255 loss_dfl: 0.188773 loss: 1.361599 eta: 1 day, 1:42:26 batch_cost: 2.8202 data_cost: 0.0016 ips: 28.3665 images/s [10/16 02:44:45] ppdet.engine INFO: Epoch: [209] [200/366] learning_rate: 0.083213 loss_vfl: 0.860049 loss_bbox: 0.302630 loss_dfl: 0.192839 loss: 1.359042 eta: 1 day, 1:41:30 batch_cost: 2.8043 data_cost: 0.0021 ips: 28.5276 images/s [10/16 02:45:43] ppdet.engine INFO: Epoch: [209] [220/366] learning_rate: 0.083120 loss_vfl: 0.848599 loss_bbox: 0.293455 loss_dfl: 0.187374 loss: 1.335954 eta: 1 day, 1:40:34 batch_cost: 2.7735 data_cost: 0.0017 ips: 28.8444 images/s [10/16 02:46:44] ppdet.engine INFO: Epoch: [209] [240/366] learning_rate: 0.083027 loss_vfl: 0.866064 loss_bbox: 0.319593 loss_dfl: 0.201974 loss: 1.397531 eta: 1 day, 1:39:39 batch_cost: 2.8483 data_cost: 0.0016 ips: 28.0867 images/s [10/16 02:47:44] ppdet.engine INFO: Epoch: [209] [260/366] learning_rate: 0.082934 loss_vfl: 0.851441 loss_bbox: 0.291652 loss_dfl: 0.189162 loss: 1.348979 eta: 1 day, 1:38:43 batch_cost: 2.8635 data_cost: 0.0018 ips: 27.9376 images/s [10/16 02:48:42] ppdet.engine INFO: Epoch: [209] [280/366] learning_rate: 0.082841 loss_vfl: 0.872799 loss_bbox: 0.324116 loss_dfl: 0.194720 loss: 1.382298 eta: 1 day, 1:37:47 batch_cost: 2.7821 data_cost: 0.0017 ips: 28.7552 images/s [10/16 02:49:41] ppdet.engine INFO: Epoch: [209] [300/366] learning_rate: 0.082749 loss_vfl: 0.858344 loss_bbox: 0.316753 loss_dfl: 0.197502 loss: 1.375048 eta: 1 day, 1:36:52 batch_cost: 2.8054 data_cost: 0.0016 ips: 28.5161 images/s [10/16 02:50:42] ppdet.engine INFO: Epoch: [209] [320/366] learning_rate: 0.082656 loss_vfl: 0.881313 loss_bbox: 0.295501 loss_dfl: 0.185419 loss: 1.353883 eta: 1 day, 1:35:56 batch_cost: 2.8613 data_cost: 0.0016 ips: 27.9597 images/s [10/16 02:51:43] ppdet.engine INFO: Epoch: [209] [340/366] learning_rate: 0.082563 loss_vfl: 0.854734 loss_bbox: 0.294142 loss_dfl: 0.190334 loss: 1.347958 eta: 1 day, 1:35:01 batch_cost: 2.9294 data_cost: 0.0017 ips: 27.3096 images/s [10/16 02:52:38] ppdet.engine INFO: Epoch: [209] [360/366] learning_rate: 0.082471 loss_vfl: 0.872299 loss_bbox: 0.294286 loss_dfl: 0.190555 loss: 1.334711 eta: 1 day, 1:34:04 batch_cost: 2.5965 data_cost: 0.0016 ips: 30.8106 images/s [10/16 02:52:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 02:52:55] ppdet.engine INFO: Eval iter: 0 [10/16 02:53:37] ppdet.engine INFO: Eval iter: 100 [10/16 02:54:00] ppdet.engine INFO: Eval iter: 200 [10/16 02:54:22] ppdet.engine INFO: Eval iter: 300 [10/16 02:54:44] ppdet.engine INFO: Eval iter: 400 [10/16 02:55:08] ppdet.engine INFO: Eval iter: 500 [10/16 02:55:31] ppdet.engine INFO: Eval iter: 600 [10/16 02:55:52] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/16 02:55:53] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.79s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=99.50s). Accumulating evaluation results... DONE (t=17.20s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.299 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.446 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.106 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.432 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.462 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.190 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.513 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.704 [10/16 02:57:56] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.597816181892394 [10/16 02:57:56] ppdet.engine INFO: Best test bbox ap is 0.300. [10/16 02:57:59] ppdet.engine INFO: Epoch: [210] [ 0/366] learning_rate: 0.082443 loss_vfl: 0.872299 loss_bbox: 0.289990 loss_dfl: 0.185117 loss: 1.315445 eta: 1 day, 1:33:46 batch_cost: 2.4654 data_cost: 0.0017 ips: 32.4495 images/s [10/16 02:59:00] ppdet.engine INFO: Epoch: [210] [ 20/366] learning_rate: 0.082350 loss_vfl: 0.854576 loss_bbox: 0.305946 loss_dfl: 0.189827 loss: 1.351407 eta: 1 day, 1:32:51 batch_cost: 2.8753 data_cost: 0.0019 ips: 27.8233 images/s [10/16 03:00:00] ppdet.engine INFO: Epoch: [210] [ 40/366] learning_rate: 0.082258 loss_vfl: 0.851704 loss_bbox: 0.313258 loss_dfl: 0.194090 loss: 1.349600 eta: 1 day, 1:31:55 batch_cost: 2.8732 data_cost: 0.0018 ips: 27.8440 images/s [10/16 03:01:01] ppdet.engine INFO: Epoch: [210] [ 60/366] learning_rate: 0.082165 loss_vfl: 0.847566 loss_bbox: 0.300251 loss_dfl: 0.185326 loss: 1.346367 eta: 1 day, 1:31:00 batch_cost: 2.8767 data_cost: 0.0018 ips: 27.8097 images/s [10/16 03:02:01] ppdet.engine INFO: Epoch: [210] [ 80/366] learning_rate: 0.082073 loss_vfl: 0.862309 loss_bbox: 0.305546 loss_dfl: 0.194521 loss: 1.361929 eta: 1 day, 1:30:05 batch_cost: 2.8181 data_cost: 0.0017 ips: 28.3881 images/s [10/16 03:02:59] ppdet.engine INFO: Epoch: [210] [100/366] learning_rate: 0.081980 loss_vfl: 0.866323 loss_bbox: 0.304019 loss_dfl: 0.186676 loss: 1.348633 eta: 1 day, 1:29:09 batch_cost: 2.7781 data_cost: 0.0016 ips: 28.7965 images/s [10/16 03:03:59] ppdet.engine INFO: Epoch: [210] [120/366] learning_rate: 0.081888 loss_vfl: 0.848883 loss_bbox: 0.315204 loss_dfl: 0.194345 loss: 1.370119 eta: 1 day, 1:28:13 batch_cost: 2.8410 data_cost: 0.0016 ips: 28.1594 images/s [10/16 03:04:59] ppdet.engine INFO: Epoch: [210] [140/366] learning_rate: 0.081796 loss_vfl: 0.878430 loss_bbox: 0.307444 loss_dfl: 0.193388 loss: 1.353687 eta: 1 day, 1:27:17 batch_cost: 2.8052 data_cost: 0.0017 ips: 28.5181 images/s [10/16 03:05:58] ppdet.engine INFO: Epoch: [210] [160/366] learning_rate: 0.081703 loss_vfl: 0.871764 loss_bbox: 0.308938 loss_dfl: 0.192211 loss: 1.357926 eta: 1 day, 1:26:22 batch_cost: 2.8088 data_cost: 0.0016 ips: 28.4821 images/s [10/16 03:06:58] ppdet.engine INFO: Epoch: [210] [180/366] learning_rate: 0.081611 loss_vfl: 0.861083 loss_bbox: 0.320675 loss_dfl: 0.199501 loss: 1.375310 eta: 1 day, 1:25:26 batch_cost: 2.8746 data_cost: 0.0024 ips: 27.8296 images/s [10/16 03:08:00] ppdet.engine INFO: Epoch: [210] [200/366] learning_rate: 0.081519 loss_vfl: 0.866519 loss_bbox: 0.311803 loss_dfl: 0.191045 loss: 1.366612 eta: 1 day, 1:24:32 batch_cost: 2.9233 data_cost: 0.0016 ips: 27.3668 images/s [10/16 03:08:59] ppdet.engine INFO: Epoch: [210] [220/366] learning_rate: 0.081427 loss_vfl: 0.862300 loss_bbox: 0.317483 loss_dfl: 0.194490 loss: 1.379137 eta: 1 day, 1:23:36 batch_cost: 2.8006 data_cost: 0.0016 ips: 28.5655 images/s [10/16 03:09:58] ppdet.engine INFO: Epoch: [210] [240/366] learning_rate: 0.081335 loss_vfl: 0.860890 loss_bbox: 0.319213 loss_dfl: 0.187807 loss: 1.364611 eta: 1 day, 1:22:40 batch_cost: 2.8099 data_cost: 0.0016 ips: 28.4711 images/s [10/16 03:10:57] ppdet.engine INFO: Epoch: [210] [260/366] learning_rate: 0.081243 loss_vfl: 0.860276 loss_bbox: 0.312982 loss_dfl: 0.191963 loss: 1.355950 eta: 1 day, 1:21:44 batch_cost: 2.8218 data_cost: 0.0027 ips: 28.3509 images/s [10/16 03:11:56] ppdet.engine INFO: Epoch: [210] [280/366] learning_rate: 0.081150 loss_vfl: 0.866014 loss_bbox: 0.300058 loss_dfl: 0.197172 loss: 1.338277 eta: 1 day, 1:20:49 batch_cost: 2.8055 data_cost: 0.0016 ips: 28.5156 images/s [10/16 03:12:55] ppdet.engine INFO: Epoch: [210] [300/366] learning_rate: 0.081058 loss_vfl: 0.868933 loss_bbox: 0.311264 loss_dfl: 0.194196 loss: 1.373126 eta: 1 day, 1:19:52 batch_cost: 2.7578 data_cost: 0.0017 ips: 29.0091 images/s [10/16 03:13:55] ppdet.engine INFO: Epoch: [210] [320/366] learning_rate: 0.080966 loss_vfl: 0.852599 loss_bbox: 0.301421 loss_dfl: 0.198480 loss: 1.360434 eta: 1 day, 1:18:57 batch_cost: 2.8347 data_cost: 0.0023 ips: 28.2217 images/s [10/16 03:14:54] ppdet.engine INFO: Epoch: [210] [340/366] learning_rate: 0.080875 loss_vfl: 0.861812 loss_bbox: 0.302437 loss_dfl: 0.188672 loss: 1.353376 eta: 1 day, 1:18:01 batch_cost: 2.8177 data_cost: 0.0017 ips: 28.3920 images/s [10/16 03:15:48] ppdet.engine INFO: Epoch: [210] [360/366] learning_rate: 0.080783 loss_vfl: 0.858821 loss_bbox: 0.302580 loss_dfl: 0.198916 loss: 1.347982 eta: 1 day, 1:17:03 batch_cost: 2.5586 data_cost: 0.0029 ips: 31.2675 images/s [10/16 03:16:28] ppdet.engine INFO: Epoch: [211] [ 0/366] learning_rate: 0.080755 loss_vfl: 0.864174 loss_bbox: 0.287405 loss_dfl: 0.188545 loss: 1.351701 eta: 1 day, 1:16:54 batch_cost: 3.4669 data_cost: 0.4681 ips: 23.0752 images/s [10/16 03:17:27] ppdet.engine INFO: Epoch: [211] [ 20/366] learning_rate: 0.080663 loss_vfl: 0.855806 loss_bbox: 0.310469 loss_dfl: 0.191348 loss: 1.337443 eta: 1 day, 1:15:59 batch_cost: 2.8289 data_cost: 0.0016 ips: 28.2793 images/s [10/16 03:18:28] ppdet.engine INFO: Epoch: [211] [ 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loss_bbox: 0.287887 loss_dfl: 0.189867 loss: 1.340825 eta: 1 day, 1:11:21 batch_cost: 2.7996 data_cost: 0.0017 ips: 28.5753 images/s [10/16 03:23:25] ppdet.engine INFO: Epoch: [211] [140/366] learning_rate: 0.080113 loss_vfl: 0.878046 loss_bbox: 0.291450 loss_dfl: 0.181927 loss: 1.350532 eta: 1 day, 1:10:25 batch_cost: 2.8256 data_cost: 0.0023 ips: 28.3130 images/s [10/16 03:24:25] ppdet.engine INFO: Epoch: [211] [160/366] learning_rate: 0.080021 loss_vfl: 0.869767 loss_bbox: 0.304738 loss_dfl: 0.189513 loss: 1.359389 eta: 1 day, 1:09:30 batch_cost: 2.8664 data_cost: 0.0017 ips: 27.9091 images/s [10/16 03:25:24] ppdet.engine INFO: Epoch: [211] [180/366] learning_rate: 0.079930 loss_vfl: 0.860739 loss_bbox: 0.290564 loss_dfl: 0.188482 loss: 1.354354 eta: 1 day, 1:08:34 batch_cost: 2.7961 data_cost: 0.0016 ips: 28.6114 images/s [10/16 03:26:24] ppdet.engine INFO: Epoch: [211] [200/366] learning_rate: 0.079838 loss_vfl: 0.876378 loss_bbox: 0.301195 loss_dfl: 0.191184 loss: 1.360337 eta: 1 day, 1:07:38 batch_cost: 2.8054 data_cost: 0.0017 ips: 28.5168 images/s [10/16 03:27:24] ppdet.engine INFO: Epoch: [211] [220/366] learning_rate: 0.079747 loss_vfl: 0.869656 loss_bbox: 0.310681 loss_dfl: 0.190766 loss: 1.378677 eta: 1 day, 1:06:43 batch_cost: 2.8485 data_cost: 0.0017 ips: 28.0849 images/s [10/16 03:28:22] ppdet.engine INFO: Epoch: [211] [240/366] learning_rate: 0.079655 loss_vfl: 0.857431 loss_bbox: 0.311977 loss_dfl: 0.191957 loss: 1.359431 eta: 1 day, 1:05:47 batch_cost: 2.7825 data_cost: 0.0025 ips: 28.7507 images/s [10/16 03:29:22] ppdet.engine INFO: Epoch: [211] [260/366] learning_rate: 0.079564 loss_vfl: 0.851230 loss_bbox: 0.307875 loss_dfl: 0.187657 loss: 1.361949 eta: 1 day, 1:04:51 batch_cost: 2.8078 data_cost: 0.0016 ips: 28.4924 images/s [10/16 03:30:21] ppdet.engine INFO: Epoch: [211] [280/366] learning_rate: 0.079473 loss_vfl: 0.867991 loss_bbox: 0.307423 loss_dfl: 0.191970 loss: 1.364736 eta: 1 day, 1:03:55 batch_cost: 2.8056 data_cost: 0.0017 ips: 28.5145 images/s [10/16 03:31:19] ppdet.engine INFO: Epoch: [211] [300/366] learning_rate: 0.079381 loss_vfl: 0.856240 loss_bbox: 0.309502 loss_dfl: 0.191133 loss: 1.375568 eta: 1 day, 1:02:59 batch_cost: 2.7431 data_cost: 0.0033 ips: 29.1636 images/s [10/16 03:32:18] ppdet.engine INFO: Epoch: [211] [320/366] learning_rate: 0.079290 loss_vfl: 0.849404 loss_bbox: 0.302430 loss_dfl: 0.191104 loss: 1.345486 eta: 1 day, 1:02:03 batch_cost: 2.7849 data_cost: 0.0017 ips: 28.7266 images/s [10/16 03:33:16] ppdet.engine INFO: Epoch: [211] [340/366] learning_rate: 0.079199 loss_vfl: 0.877415 loss_bbox: 0.296133 loss_dfl: 0.189001 loss: 1.350582 eta: 1 day, 1:01:07 batch_cost: 2.7785 data_cost: 0.0016 ips: 28.7927 images/s [10/16 03:34:10] ppdet.engine INFO: Epoch: [211] [360/366] learning_rate: 0.079108 loss_vfl: 0.847038 loss_bbox: 0.316260 loss_dfl: 0.193884 loss: 1.378273 eta: 1 day, 1:00:09 batch_cost: 2.5471 data_cost: 0.0016 ips: 31.4082 images/s [10/16 03:34:49] ppdet.engine INFO: Epoch: [212] [ 0/366] learning_rate: 0.079080 loss_vfl: 0.846099 loss_bbox: 0.328237 loss_dfl: 0.198654 loss: 1.388263 eta: 1 day, 1:00:00 batch_cost: 3.4163 data_cost: 0.4115 ips: 23.4173 images/s [10/16 03:35:49] ppdet.engine INFO: Epoch: [212] [ 20/366] learning_rate: 0.078989 loss_vfl: 0.860048 loss_bbox: 0.304802 loss_dfl: 0.195192 loss: 1.346896 eta: 1 day, 0:59:04 batch_cost: 2.8429 data_cost: 0.0017 ips: 28.1405 images/s [10/16 03:36:48] ppdet.engine INFO: Epoch: [212] [ 40/366] learning_rate: 0.078898 loss_vfl: 0.851296 loss_bbox: 0.327725 loss_dfl: 0.199386 loss: 1.379173 eta: 1 day, 0:58:08 batch_cost: 2.7834 data_cost: 0.0018 ips: 28.7418 images/s [10/16 03:37:47] ppdet.engine INFO: Epoch: [212] [ 60/366] learning_rate: 0.078807 loss_vfl: 0.845925 loss_bbox: 0.312360 loss_dfl: 0.199664 loss: 1.353725 eta: 1 day, 0:57:12 batch_cost: 2.8046 data_cost: 0.0023 ips: 28.5241 images/s [10/16 03:38:44] ppdet.engine INFO: Epoch: [212] [ 80/366] learning_rate: 0.078716 loss_vfl: 0.860211 loss_bbox: 0.290655 loss_dfl: 0.188185 loss: 1.348524 eta: 1 day, 0:56:16 batch_cost: 2.7340 data_cost: 0.0028 ips: 29.2615 images/s [10/16 03:39:41] ppdet.engine INFO: Epoch: [212] [100/366] learning_rate: 0.078625 loss_vfl: 0.847240 loss_bbox: 0.306383 loss_dfl: 0.193759 loss: 1.359570 eta: 1 day, 0:55:19 batch_cost: 2.7142 data_cost: 0.0016 ips: 29.4745 images/s [10/16 03:40:38] ppdet.engine INFO: Epoch: [212] [120/366] learning_rate: 0.078534 loss_vfl: 0.850798 loss_bbox: 0.318510 loss_dfl: 0.191391 loss: 1.363377 eta: 1 day, 0:54:23 batch_cost: 2.7022 data_cost: 0.0017 ips: 29.6057 images/s [10/16 03:41:40] ppdet.engine INFO: Epoch: [212] [140/366] learning_rate: 0.078443 loss_vfl: 0.859142 loss_bbox: 0.298968 loss_dfl: 0.192822 loss: 1.363836 eta: 1 day, 0:53:28 batch_cost: 2.9197 data_cost: 0.0020 ips: 27.4003 images/s [10/16 03:42:39] ppdet.engine INFO: Epoch: [212] [160/366] learning_rate: 0.078352 loss_vfl: 0.860768 loss_bbox: 0.300742 loss_dfl: 0.185478 loss: 1.364179 eta: 1 day, 0:52:32 batch_cost: 2.8300 data_cost: 0.0017 ips: 28.2687 images/s [10/16 03:43:39] ppdet.engine INFO: Epoch: [212] [180/366] learning_rate: 0.078261 loss_vfl: 0.858676 loss_bbox: 0.312923 loss_dfl: 0.192618 loss: 1.375613 eta: 1 day, 0:51:37 batch_cost: 2.8453 data_cost: 0.0017 ips: 28.1162 images/s [10/16 03:44:39] ppdet.engine INFO: Epoch: [212] [200/366] learning_rate: 0.078171 loss_vfl: 0.862896 loss_bbox: 0.304523 loss_dfl: 0.187473 loss: 1.345038 eta: 1 day, 0:50:41 batch_cost: 2.8381 data_cost: 0.0016 ips: 28.1878 images/s [10/16 03:45:39] ppdet.engine INFO: Epoch: [212] [220/366] learning_rate: 0.078080 loss_vfl: 0.867791 loss_bbox: 0.300253 loss_dfl: 0.192976 loss: 1.374557 eta: 1 day, 0:49:45 batch_cost: 2.8057 data_cost: 0.0017 ips: 28.5133 images/s [10/16 03:46:37] ppdet.engine INFO: Epoch: [212] [240/366] learning_rate: 0.077989 loss_vfl: 0.864009 loss_bbox: 0.307391 loss_dfl: 0.192892 loss: 1.380454 eta: 1 day, 0:48:49 batch_cost: 2.7374 data_cost: 0.0017 ips: 29.2243 images/s [10/16 03:47:35] ppdet.engine INFO: Epoch: [212] [260/366] learning_rate: 0.077898 loss_vfl: 0.862786 loss_bbox: 0.295687 loss_dfl: 0.191035 loss: 1.359857 eta: 1 day, 0:47:53 batch_cost: 2.7538 data_cost: 0.0016 ips: 29.0503 images/s [10/16 03:48:34] ppdet.engine INFO: Epoch: [212] [280/366] learning_rate: 0.077808 loss_vfl: 0.868708 loss_bbox: 0.304039 loss_dfl: 0.187244 loss: 1.352817 eta: 1 day, 0:46:57 batch_cost: 2.8162 data_cost: 0.0016 ips: 28.4067 images/s [10/16 03:49:34] ppdet.engine INFO: Epoch: [212] [300/366] learning_rate: 0.077717 loss_vfl: 0.870587 loss_bbox: 0.309545 loss_dfl: 0.193849 loss: 1.374565 eta: 1 day, 0:46:02 batch_cost: 2.8533 data_cost: 0.0017 ips: 28.0379 images/s [10/16 03:50:36] ppdet.engine INFO: Epoch: [212] [320/366] learning_rate: 0.077627 loss_vfl: 0.858904 loss_bbox: 0.302634 loss_dfl: 0.188227 loss: 1.350441 eta: 1 day, 0:45:07 batch_cost: 2.9193 data_cost: 0.0018 ips: 27.4037 images/s [10/16 03:51:36] ppdet.engine INFO: Epoch: [212] [340/366] learning_rate: 0.077536 loss_vfl: 0.865096 loss_bbox: 0.299453 loss_dfl: 0.192599 loss: 1.343372 eta: 1 day, 0:44:12 batch_cost: 2.8726 data_cost: 0.0017 ips: 27.8492 images/s [10/16 03:52:32] ppdet.engine INFO: Epoch: [212] [360/366] learning_rate: 0.077446 loss_vfl: 0.858957 loss_bbox: 0.291411 loss_dfl: 0.188300 loss: 1.345361 eta: 1 day, 0:43:15 batch_cost: 2.6454 data_cost: 0.0016 ips: 30.2417 images/s [10/16 03:53:13] ppdet.engine INFO: Epoch: [213] [ 0/366] learning_rate: 0.077419 loss_vfl: 0.862626 loss_bbox: 0.300297 loss_dfl: 0.187470 loss: 1.347069 eta: 1 day, 0:43:06 batch_cost: 3.6016 data_cost: 0.6959 ips: 22.2124 images/s [10/16 03:54:13] ppdet.engine INFO: Epoch: [213] [ 20/366] learning_rate: 0.077328 loss_vfl: 0.841611 loss_bbox: 0.296325 loss_dfl: 0.186175 loss: 1.326921 eta: 1 day, 0:42:10 batch_cost: 2.8355 data_cost: 0.0021 ips: 28.2142 images/s [10/16 03:55:13] ppdet.engine INFO: Epoch: [213] [ 40/366] learning_rate: 0.077238 loss_vfl: 0.855520 loss_bbox: 0.291531 loss_dfl: 0.182262 loss: 1.337553 eta: 1 day, 0:41:15 batch_cost: 2.8617 data_cost: 0.0018 ips: 27.9550 images/s [10/16 03:56:14] ppdet.engine INFO: Epoch: [213] [ 60/366] learning_rate: 0.077147 loss_vfl: 0.852148 loss_bbox: 0.294972 loss_dfl: 0.184688 loss: 1.335742 eta: 1 day, 0:40:20 batch_cost: 2.8818 data_cost: 0.0019 ips: 27.7607 images/s [10/16 03:57:13] ppdet.engine INFO: Epoch: [213] [ 80/366] learning_rate: 0.077057 loss_vfl: 0.859218 loss_bbox: 0.319301 loss_dfl: 0.195854 loss: 1.358223 eta: 1 day, 0:39:24 batch_cost: 2.8272 data_cost: 0.0038 ips: 28.2963 images/s [10/16 03:58:15] ppdet.engine INFO: Epoch: [213] [100/366] learning_rate: 0.076967 loss_vfl: 0.848088 loss_bbox: 0.308380 loss_dfl: 0.194426 loss: 1.359830 eta: 1 day, 0:38:29 batch_cost: 2.9178 data_cost: 0.0019 ips: 27.4182 images/s [10/16 03:59:16] ppdet.engine INFO: Epoch: [213] [120/366] learning_rate: 0.076877 loss_vfl: 0.848650 loss_bbox: 0.314798 loss_dfl: 0.197135 loss: 1.366727 eta: 1 day, 0:37:34 batch_cost: 2.9058 data_cost: 0.0017 ips: 27.5315 images/s [10/16 04:00:16] ppdet.engine INFO: Epoch: [213] [140/366] learning_rate: 0.076787 loss_vfl: 0.853235 loss_bbox: 0.306401 loss_dfl: 0.198174 loss: 1.357256 eta: 1 day, 0:36:39 batch_cost: 2.8763 data_cost: 0.0017 ips: 27.8140 images/s [10/16 04:01:18] ppdet.engine INFO: Epoch: [213] [160/366] learning_rate: 0.076696 loss_vfl: 0.868164 loss_bbox: 0.299117 loss_dfl: 0.185304 loss: 1.358096 eta: 1 day, 0:35:44 batch_cost: 2.9085 data_cost: 0.0018 ips: 27.5058 images/s [10/16 04:02:17] ppdet.engine INFO: Epoch: [213] [180/366] learning_rate: 0.076606 loss_vfl: 0.863477 loss_bbox: 0.272567 loss_dfl: 0.179365 loss: 1.317981 eta: 1 day, 0:34:48 batch_cost: 2.7859 data_cost: 0.0017 ips: 28.7156 images/s [10/16 04:03:16] ppdet.engine INFO: Epoch: [213] [200/366] learning_rate: 0.076516 loss_vfl: 0.852089 loss_bbox: 0.310096 loss_dfl: 0.188834 loss: 1.363188 eta: 1 day, 0:33:52 batch_cost: 2.8356 data_cost: 0.0023 ips: 28.2125 images/s [10/16 04:04:17] ppdet.engine INFO: Epoch: [213] [220/366] learning_rate: 0.076426 loss_vfl: 0.859687 loss_bbox: 0.315502 loss_dfl: 0.196387 loss: 1.374652 eta: 1 day, 0:32:57 batch_cost: 2.8674 data_cost: 0.0017 ips: 27.8995 images/s [10/16 04:05:16] ppdet.engine INFO: Epoch: [213] [240/366] learning_rate: 0.076336 loss_vfl: 0.851948 loss_bbox: 0.283592 loss_dfl: 0.181129 loss: 1.324700 eta: 1 day, 0:32:01 batch_cost: 2.7831 data_cost: 0.0024 ips: 28.7449 images/s [10/16 04:06:15] ppdet.engine INFO: Epoch: [213] [260/366] learning_rate: 0.076246 loss_vfl: 0.857831 loss_bbox: 0.303091 loss_dfl: 0.188992 loss: 1.356180 eta: 1 day, 0:31:05 batch_cost: 2.8146 data_cost: 0.0017 ips: 28.4233 images/s [10/16 04:07:15] ppdet.engine INFO: Epoch: [213] [280/366] learning_rate: 0.076156 loss_vfl: 0.848456 loss_bbox: 0.293100 loss_dfl: 0.189341 loss: 1.333885 eta: 1 day, 0:30:10 batch_cost: 2.8435 data_cost: 0.0016 ips: 28.1344 images/s [10/16 04:08:14] ppdet.engine INFO: Epoch: [213] [300/366] learning_rate: 0.076067 loss_vfl: 0.852196 loss_bbox: 0.298017 loss_dfl: 0.183384 loss: 1.342403 eta: 1 day, 0:29:14 batch_cost: 2.8460 data_cost: 0.0016 ips: 28.1094 images/s [10/16 04:09:15] ppdet.engine INFO: Epoch: [213] [320/366] learning_rate: 0.075977 loss_vfl: 0.867064 loss_bbox: 0.301100 loss_dfl: 0.186624 loss: 1.356450 eta: 1 day, 0:28:19 batch_cost: 2.9104 data_cost: 0.0017 ips: 27.4872 images/s [10/16 04:10:16] ppdet.engine INFO: Epoch: [213] [340/366] learning_rate: 0.075887 loss_vfl: 0.863464 loss_bbox: 0.319248 loss_dfl: 0.198786 loss: 1.386476 eta: 1 day, 0:27:24 batch_cost: 2.8540 data_cost: 0.0016 ips: 28.0311 images/s [10/16 04:11:10] ppdet.engine INFO: Epoch: [213] [360/366] learning_rate: 0.075797 loss_vfl: 0.870407 loss_bbox: 0.304779 loss_dfl: 0.194395 loss: 1.375129 eta: 1 day, 0:26:26 batch_cost: 2.5743 data_cost: 0.0042 ips: 31.0760 images/s [10/16 04:11:51] ppdet.engine INFO: Epoch: [214] [ 0/366] learning_rate: 0.075770 loss_vfl: 0.865558 loss_bbox: 0.309678 loss_dfl: 0.194870 loss: 1.363878 eta: 1 day, 0:26:17 batch_cost: 3.4913 data_cost: 0.6345 ips: 22.9140 images/s [10/16 04:12:52] ppdet.engine INFO: Epoch: [214] [ 20/366] learning_rate: 0.075681 loss_vfl: 0.845915 loss_bbox: 0.300250 loss_dfl: 0.190558 loss: 1.335611 eta: 1 day, 0:25:22 batch_cost: 2.9245 data_cost: 0.0019 ips: 27.3555 images/s [10/16 04:13:52] ppdet.engine INFO: Epoch: [214] [ 40/366] learning_rate: 0.075591 loss_vfl: 0.860106 loss_bbox: 0.303196 loss_dfl: 0.193112 loss: 1.350753 eta: 1 day, 0:24:27 batch_cost: 2.8291 data_cost: 0.0023 ips: 28.2771 images/s [10/16 04:14:53] ppdet.engine INFO: Epoch: [214] [ 60/366] learning_rate: 0.075502 loss_vfl: 0.854264 loss_bbox: 0.305724 loss_dfl: 0.193769 loss: 1.356264 eta: 1 day, 0:23:31 batch_cost: 2.8932 data_cost: 0.0033 ips: 27.6508 images/s [10/16 04:15:53] ppdet.engine INFO: Epoch: [214] [ 80/366] learning_rate: 0.075412 loss_vfl: 0.866597 loss_bbox: 0.288630 loss_dfl: 0.184097 loss: 1.343640 eta: 1 day, 0:22:36 batch_cost: 2.8560 data_cost: 0.0017 ips: 28.0109 images/s [10/16 04:16:53] ppdet.engine INFO: Epoch: [214] [100/366] learning_rate: 0.075322 loss_vfl: 0.850646 loss_bbox: 0.290341 loss_dfl: 0.188184 loss: 1.339850 eta: 1 day, 0:21:41 batch_cost: 2.8657 data_cost: 0.0025 ips: 27.9162 images/s [10/16 04:17:54] ppdet.engine INFO: Epoch: [214] [120/366] learning_rate: 0.075233 loss_vfl: 0.856974 loss_bbox: 0.295521 loss_dfl: 0.194069 loss: 1.358651 eta: 1 day, 0:20:45 batch_cost: 2.8729 data_cost: 0.0017 ips: 27.8468 images/s [10/16 04:18:55] ppdet.engine INFO: Epoch: [214] [140/366] learning_rate: 0.075144 loss_vfl: 0.854679 loss_bbox: 0.312221 loss_dfl: 0.192732 loss: 1.368866 eta: 1 day, 0:19:50 batch_cost: 2.8943 data_cost: 0.0017 ips: 27.6403 images/s [10/16 04:19:56] ppdet.engine INFO: Epoch: [214] [160/366] learning_rate: 0.075054 loss_vfl: 0.856835 loss_bbox: 0.298666 loss_dfl: 0.191528 loss: 1.352758 eta: 1 day, 0:18:55 batch_cost: 2.8445 data_cost: 0.0017 ips: 28.1244 images/s [10/16 04:20:57] ppdet.engine INFO: Epoch: [214] [180/366] learning_rate: 0.074965 loss_vfl: 0.845210 loss_bbox: 0.331995 loss_dfl: 0.199012 loss: 1.376891 eta: 1 day, 0:18:00 batch_cost: 2.8938 data_cost: 0.0018 ips: 27.6452 images/s [10/16 04:21:57] ppdet.engine INFO: Epoch: [214] [200/366] learning_rate: 0.074876 loss_vfl: 0.868724 loss_bbox: 0.295501 loss_dfl: 0.188299 loss: 1.349193 eta: 1 day, 0:17:04 batch_cost: 2.8821 data_cost: 0.0016 ips: 27.7579 images/s [10/16 04:22:57] ppdet.engine INFO: Epoch: [214] [220/366] learning_rate: 0.074786 loss_vfl: 0.853347 loss_bbox: 0.311850 loss_dfl: 0.192093 loss: 1.359042 eta: 1 day, 0:16:09 batch_cost: 2.8510 data_cost: 0.0017 ips: 28.0607 images/s [10/16 04:23:57] ppdet.engine INFO: Epoch: [214] [240/366] learning_rate: 0.074697 loss_vfl: 0.852253 loss_bbox: 0.302511 loss_dfl: 0.185542 loss: 1.340946 eta: 1 day, 0:15:13 batch_cost: 2.8151 data_cost: 0.0016 ips: 28.4178 images/s [10/16 04:24:57] ppdet.engine INFO: Epoch: [214] [260/366] learning_rate: 0.074608 loss_vfl: 0.867126 loss_bbox: 0.300013 loss_dfl: 0.184110 loss: 1.340352 eta: 1 day, 0:14:18 batch_cost: 2.8657 data_cost: 0.0025 ips: 27.9167 images/s [10/16 04:25:56] ppdet.engine INFO: Epoch: [214] [280/366] learning_rate: 0.074519 loss_vfl: 0.872099 loss_bbox: 0.293624 loss_dfl: 0.190723 loss: 1.358466 eta: 1 day, 0:13:22 batch_cost: 2.8218 data_cost: 0.0017 ips: 28.3507 images/s [10/16 04:26:57] ppdet.engine INFO: Epoch: [214] [300/366] learning_rate: 0.074430 loss_vfl: 0.869616 loss_bbox: 0.300063 loss_dfl: 0.190190 loss: 1.359162 eta: 1 day, 0:12:27 batch_cost: 2.8961 data_cost: 0.0023 ips: 27.6230 images/s [10/16 04:27:57] ppdet.engine INFO: Epoch: [214] [320/366] learning_rate: 0.074341 loss_vfl: 0.868413 loss_bbox: 0.311931 loss_dfl: 0.192497 loss: 1.366809 eta: 1 day, 0:11:32 batch_cost: 2.8635 data_cost: 0.0016 ips: 27.9381 images/s [10/16 04:28:57] ppdet.engine INFO: Epoch: [214] [340/366] learning_rate: 0.074252 loss_vfl: 0.863015 loss_bbox: 0.306789 loss_dfl: 0.192012 loss: 1.351389 eta: 1 day, 0:10:36 batch_cost: 2.8540 data_cost: 0.0023 ips: 28.0307 images/s [10/16 04:29:53] ppdet.engine INFO: Epoch: [214] [360/366] learning_rate: 0.074163 loss_vfl: 0.848106 loss_bbox: 0.311985 loss_dfl: 0.197084 loss: 1.337328 eta: 1 day, 0:09:39 batch_cost: 2.6173 data_cost: 0.0016 ips: 30.5662 images/s [10/16 04:30:33] ppdet.engine INFO: Epoch: [215] [ 0/366] learning_rate: 0.074136 loss_vfl: 0.853698 loss_bbox: 0.281518 loss_dfl: 0.188802 loss: 1.321853 eta: 1 day, 0:09:30 batch_cost: 3.5795 data_cost: 0.5355 ips: 22.3496 images/s [10/16 04:31:34] ppdet.engine INFO: Epoch: [215] [ 20/366] learning_rate: 0.074047 loss_vfl: 0.852381 loss_bbox: 0.301244 loss_dfl: 0.187242 loss: 1.334007 eta: 1 day, 0:08:34 batch_cost: 2.8675 data_cost: 0.0022 ips: 27.8993 images/s [10/16 04:32:32] ppdet.engine INFO: Epoch: [215] [ 40/366] learning_rate: 0.073958 loss_vfl: 0.850889 loss_bbox: 0.315444 loss_dfl: 0.195158 loss: 1.347204 eta: 1 day, 0:07:38 batch_cost: 2.7873 data_cost: 0.0018 ips: 28.7021 images/s [10/16 04:33:32] ppdet.engine INFO: Epoch: [215] [ 60/366] learning_rate: 0.073869 loss_vfl: 0.862110 loss_bbox: 0.306491 loss_dfl: 0.192304 loss: 1.336959 eta: 1 day, 0:06:43 batch_cost: 2.8107 data_cost: 0.0017 ips: 28.4630 images/s [10/16 04:34:30] ppdet.engine INFO: Epoch: [215] [ 80/366] learning_rate: 0.073780 loss_vfl: 0.859443 loss_bbox: 0.289645 loss_dfl: 0.185769 loss: 1.349131 eta: 1 day, 0:05:46 batch_cost: 2.7386 data_cost: 0.0017 ips: 29.2122 images/s [10/16 04:35:30] ppdet.engine INFO: Epoch: [215] [100/366] learning_rate: 0.073692 loss_vfl: 0.852808 loss_bbox: 0.307383 loss_dfl: 0.194280 loss: 1.369430 eta: 1 day, 0:04:51 batch_cost: 2.8640 data_cost: 0.0022 ips: 27.9330 images/s [10/16 04:36:27] ppdet.engine INFO: Epoch: [215] [120/366] learning_rate: 0.073603 loss_vfl: 0.852003 loss_bbox: 0.325831 loss_dfl: 0.197219 loss: 1.366947 eta: 1 day, 0:03:54 batch_cost: 2.7233 data_cost: 0.0017 ips: 29.3765 images/s [10/16 04:37:27] ppdet.engine INFO: Epoch: [215] [140/366] learning_rate: 0.073514 loss_vfl: 0.858481 loss_bbox: 0.307341 loss_dfl: 0.194149 loss: 1.355637 eta: 1 day, 0:02:59 batch_cost: 2.8232 data_cost: 0.0016 ips: 28.3367 images/s [10/16 04:38:27] ppdet.engine INFO: Epoch: [215] [160/366] learning_rate: 0.073426 loss_vfl: 0.865327 loss_bbox: 0.293077 loss_dfl: 0.187228 loss: 1.330006 eta: 1 day, 0:02:03 batch_cost: 2.8568 data_cost: 0.0016 ips: 28.0035 images/s [10/16 04:39:28] ppdet.engine INFO: Epoch: [215] [180/366] learning_rate: 0.073337 loss_vfl: 0.856255 loss_bbox: 0.288374 loss_dfl: 0.184858 loss: 1.338586 eta: 1 day, 0:01:08 batch_cost: 2.8642 data_cost: 0.0024 ips: 27.9307 images/s [10/16 04:40:28] ppdet.engine INFO: Epoch: [215] [200/366] learning_rate: 0.073249 loss_vfl: 0.851376 loss_bbox: 0.294710 loss_dfl: 0.188769 loss: 1.336924 eta: 1 day, 0:00:12 batch_cost: 2.8349 data_cost: 0.0023 ips: 28.2199 images/s [10/16 04:41:28] ppdet.engine INFO: Epoch: [215] [220/366] learning_rate: 0.073160 loss_vfl: 0.843783 loss_bbox: 0.315192 loss_dfl: 0.194473 loss: 1.360271 eta: 23:59:17 batch_cost: 2.8985 data_cost: 0.0017 ips: 27.6000 images/s [10/16 04:42:27] ppdet.engine INFO: Epoch: [215] [240/366] learning_rate: 0.073072 loss_vfl: 0.860697 loss_bbox: 0.294685 loss_dfl: 0.184575 loss: 1.343503 eta: 23:58:21 batch_cost: 2.7838 data_cost: 0.0016 ips: 28.7377 images/s [10/16 04:43:25] ppdet.engine INFO: Epoch: [215] [260/366] learning_rate: 0.072983 loss_vfl: 0.861828 loss_bbox: 0.307537 loss_dfl: 0.194969 loss: 1.362582 eta: 23:57:25 batch_cost: 2.7686 data_cost: 0.0016 ips: 28.8951 images/s [10/16 04:44:24] ppdet.engine INFO: Epoch: [215] [280/366] learning_rate: 0.072895 loss_vfl: 0.872414 loss_bbox: 0.296920 loss_dfl: 0.189681 loss: 1.352237 eta: 23:56:29 batch_cost: 2.7666 data_cost: 0.0017 ips: 28.9165 images/s [10/16 04:45:24] ppdet.engine INFO: Epoch: [215] [300/366] learning_rate: 0.072806 loss_vfl: 0.855014 loss_bbox: 0.310393 loss_dfl: 0.194851 loss: 1.360647 eta: 23:55:34 batch_cost: 2.8718 data_cost: 0.0017 ips: 27.8569 images/s [10/16 04:46:23] ppdet.engine INFO: Epoch: [215] [320/366] learning_rate: 0.072718 loss_vfl: 0.857880 loss_bbox: 0.304459 loss_dfl: 0.188326 loss: 1.361574 eta: 23:54:38 batch_cost: 2.8003 data_cost: 0.0016 ips: 28.5686 images/s [10/16 04:47:22] ppdet.engine INFO: Epoch: [215] [340/366] learning_rate: 0.072630 loss_vfl: 0.861424 loss_bbox: 0.324526 loss_dfl: 0.197960 loss: 1.381281 eta: 23:53:42 batch_cost: 2.7928 data_cost: 0.0016 ips: 28.6453 images/s [10/16 04:48:17] ppdet.engine INFO: Epoch: [215] [360/366] learning_rate: 0.072542 loss_vfl: 0.866993 loss_bbox: 0.313070 loss_dfl: 0.191982 loss: 1.380790 eta: 23:52:44 batch_cost: 2.6136 data_cost: 0.0016 ips: 30.6096 images/s [10/16 04:48:55] ppdet.engine INFO: Epoch: [216] [ 0/366] learning_rate: 0.072515 loss_vfl: 0.861763 loss_bbox: 0.293151 loss_dfl: 0.189106 loss: 1.339590 eta: 23:52:34 batch_cost: 3.4194 data_cost: 0.5237 ips: 23.3956 images/s [10/16 04:49:58] ppdet.engine INFO: Epoch: [216] [ 20/366] learning_rate: 0.072427 loss_vfl: 0.861992 loss_bbox: 0.289627 loss_dfl: 0.185474 loss: 1.328455 eta: 23:51:40 batch_cost: 2.9734 data_cost: 0.0017 ips: 26.9050 images/s [10/16 04:50:57] ppdet.engine INFO: Epoch: [216] [ 40/366] learning_rate: 0.072339 loss_vfl: 0.859276 loss_bbox: 0.300947 loss_dfl: 0.189455 loss: 1.347466 eta: 23:50:44 batch_cost: 2.8152 data_cost: 0.0030 ips: 28.4175 images/s [10/16 04:51:56] ppdet.engine INFO: Epoch: [216] [ 60/366] learning_rate: 0.072251 loss_vfl: 0.856914 loss_bbox: 0.293589 loss_dfl: 0.183883 loss: 1.336737 eta: 23:49:48 batch_cost: 2.7655 data_cost: 0.0016 ips: 28.9280 images/s [10/16 04:52:56] ppdet.engine INFO: Epoch: [216] [ 80/366] learning_rate: 0.072163 loss_vfl: 0.849420 loss_bbox: 0.307610 loss_dfl: 0.190047 loss: 1.353305 eta: 23:48:52 batch_cost: 2.8598 data_cost: 0.0016 ips: 27.9736 images/s [10/16 04:53:54] ppdet.engine INFO: Epoch: [216] [100/366] learning_rate: 0.072075 loss_vfl: 0.856212 loss_bbox: 0.310093 loss_dfl: 0.192782 loss: 1.369508 eta: 23:47:56 batch_cost: 2.7516 data_cost: 0.0016 ips: 29.0740 images/s [10/16 04:54:51] ppdet.engine INFO: Epoch: [216] [120/366] learning_rate: 0.071987 loss_vfl: 0.851238 loss_bbox: 0.322943 loss_dfl: 0.196194 loss: 1.367492 eta: 23:46:59 batch_cost: 2.6968 data_cost: 0.0017 ips: 29.6648 images/s [10/16 04:55:50] ppdet.engine INFO: Epoch: [216] [140/366] learning_rate: 0.071899 loss_vfl: 0.869190 loss_bbox: 0.298490 loss_dfl: 0.188746 loss: 1.363908 eta: 23:46:04 batch_cost: 2.8289 data_cost: 0.0022 ips: 28.2797 images/s [10/16 04:56:49] ppdet.engine INFO: Epoch: [216] [160/366] learning_rate: 0.071811 loss_vfl: 0.846012 loss_bbox: 0.307235 loss_dfl: 0.195452 loss: 1.353182 eta: 23:45:08 batch_cost: 2.8010 data_cost: 0.0018 ips: 28.5614 images/s [10/16 04:57:49] ppdet.engine INFO: Epoch: [216] [180/366] learning_rate: 0.071723 loss_vfl: 0.857069 loss_bbox: 0.299861 loss_dfl: 0.189054 loss: 1.335438 eta: 23:44:12 batch_cost: 2.8458 data_cost: 0.0023 ips: 28.1116 images/s [10/16 04:58:48] ppdet.engine INFO: Epoch: [216] [200/366] learning_rate: 0.071635 loss_vfl: 0.859175 loss_bbox: 0.297250 loss_dfl: 0.187269 loss: 1.317596 eta: 23:43:17 batch_cost: 2.8163 data_cost: 0.0016 ips: 28.4065 images/s [10/16 04:59:47] ppdet.engine INFO: Epoch: [216] [220/366] learning_rate: 0.071548 loss_vfl: 0.872013 loss_bbox: 0.315947 loss_dfl: 0.189359 loss: 1.387288 eta: 23:42:20 batch_cost: 2.7564 data_cost: 0.0017 ips: 29.0235 images/s [10/16 05:00:45] ppdet.engine INFO: Epoch: [216] [240/366] learning_rate: 0.071460 loss_vfl: 0.853933 loss_bbox: 0.306584 loss_dfl: 0.190790 loss: 1.345712 eta: 23:41:24 batch_cost: 2.7944 data_cost: 0.0018 ips: 28.6286 images/s [10/16 05:01:44] ppdet.engine INFO: Epoch: [216] [260/366] learning_rate: 0.071372 loss_vfl: 0.852151 loss_bbox: 0.309374 loss_dfl: 0.196507 loss: 1.370829 eta: 23:40:28 batch_cost: 2.7722 data_cost: 0.0017 ips: 28.8578 images/s [10/16 05:02:43] ppdet.engine INFO: Epoch: [216] [280/366] learning_rate: 0.071285 loss_vfl: 0.866152 loss_bbox: 0.302677 loss_dfl: 0.195598 loss: 1.353485 eta: 23:39:32 batch_cost: 2.8026 data_cost: 0.0016 ips: 28.5453 images/s [10/16 05:03:42] ppdet.engine INFO: Epoch: [216] [300/366] learning_rate: 0.071197 loss_vfl: 0.853114 loss_bbox: 0.304558 loss_dfl: 0.197996 loss: 1.359982 eta: 23:38:37 batch_cost: 2.8050 data_cost: 0.0017 ips: 28.5207 images/s [10/16 05:04:41] ppdet.engine INFO: Epoch: [216] [320/366] learning_rate: 0.071110 loss_vfl: 0.854015 loss_bbox: 0.307366 loss_dfl: 0.189068 loss: 1.365312 eta: 23:37:41 batch_cost: 2.7875 data_cost: 0.0021 ips: 28.6999 images/s [10/16 05:05:40] ppdet.engine INFO: Epoch: [216] [340/366] learning_rate: 0.071022 loss_vfl: 0.861490 loss_bbox: 0.295419 loss_dfl: 0.196058 loss: 1.355153 eta: 23:36:45 batch_cost: 2.7998 data_cost: 0.0017 ips: 28.5734 images/s [10/16 05:06:34] ppdet.engine INFO: Epoch: [216] [360/366] learning_rate: 0.070935 loss_vfl: 0.854619 loss_bbox: 0.296779 loss_dfl: 0.189614 loss: 1.341604 eta: 23:35:47 batch_cost: 2.5524 data_cost: 0.0016 ips: 31.3427 images/s [10/16 05:07:10] ppdet.engine INFO: Epoch: [217] [ 0/366] learning_rate: 0.070908 loss_vfl: 0.864145 loss_bbox: 0.298380 loss_dfl: 0.190781 loss: 1.371744 eta: 23:35:36 batch_cost: 3.2804 data_cost: 0.3365 ips: 24.3869 images/s [10/16 05:08:14] ppdet.engine INFO: Epoch: [217] [ 20/366] learning_rate: 0.070821 loss_vfl: 0.879442 loss_bbox: 0.294617 loss_dfl: 0.185570 loss: 1.351149 eta: 23:34:42 batch_cost: 3.0649 data_cost: 0.0019 ips: 26.1019 images/s [10/16 05:09:15] ppdet.engine INFO: Epoch: [217] [ 40/366] learning_rate: 0.070734 loss_vfl: 0.858157 loss_bbox: 0.291682 loss_dfl: 0.185216 loss: 1.357810 eta: 23:33:47 batch_cost: 2.8996 data_cost: 0.0017 ips: 27.5902 images/s [10/16 05:10:15] ppdet.engine INFO: Epoch: [217] [ 60/366] learning_rate: 0.070646 loss_vfl: 0.861159 loss_bbox: 0.288625 loss_dfl: 0.182559 loss: 1.320838 eta: 23:32:51 batch_cost: 2.8534 data_cost: 0.0023 ips: 28.0365 images/s [10/16 05:11:17] ppdet.engine INFO: Epoch: [217] [ 80/366] learning_rate: 0.070559 loss_vfl: 0.861818 loss_bbox: 0.298423 loss_dfl: 0.190308 loss: 1.335948 eta: 23:31:56 batch_cost: 2.9593 data_cost: 0.0022 ips: 27.0331 images/s [10/16 05:12:17] ppdet.engine INFO: Epoch: [217] [100/366] learning_rate: 0.070472 loss_vfl: 0.858184 loss_bbox: 0.297458 loss_dfl: 0.189570 loss: 1.345051 eta: 23:31:01 batch_cost: 2.8479 data_cost: 0.0023 ips: 28.0912 images/s [10/16 05:13:17] ppdet.engine INFO: Epoch: [217] [120/366] learning_rate: 0.070385 loss_vfl: 0.863393 loss_bbox: 0.302012 loss_dfl: 0.191223 loss: 1.365331 eta: 23:30:05 batch_cost: 2.8533 data_cost: 0.0017 ips: 28.0381 images/s [10/16 05:14:15] ppdet.engine INFO: Epoch: [217] [140/366] learning_rate: 0.070298 loss_vfl: 0.840688 loss_bbox: 0.294686 loss_dfl: 0.182320 loss: 1.321464 eta: 23:29:09 batch_cost: 2.7694 data_cost: 0.0016 ips: 28.8871 images/s [10/16 05:15:15] ppdet.engine INFO: Epoch: [217] [160/366] learning_rate: 0.070210 loss_vfl: 0.849148 loss_bbox: 0.319354 loss_dfl: 0.198832 loss: 1.359365 eta: 23:28:13 batch_cost: 2.8165 data_cost: 0.0022 ips: 28.4043 images/s [10/16 05:16:15] ppdet.engine INFO: Epoch: [217] [180/366] learning_rate: 0.070123 loss_vfl: 0.852781 loss_bbox: 0.308363 loss_dfl: 0.186271 loss: 1.346853 eta: 23:27:18 batch_cost: 2.8636 data_cost: 0.0016 ips: 27.9366 images/s [10/16 05:17:14] ppdet.engine INFO: Epoch: [217] [200/366] learning_rate: 0.070036 loss_vfl: 0.859102 loss_bbox: 0.306610 loss_dfl: 0.189342 loss: 1.345309 eta: 23:26:22 batch_cost: 2.8037 data_cost: 0.0016 ips: 28.5341 images/s [10/16 05:18:14] ppdet.engine INFO: Epoch: [217] [220/366] learning_rate: 0.069949 loss_vfl: 0.849595 loss_bbox: 0.307164 loss_dfl: 0.191104 loss: 1.375353 eta: 23:25:27 batch_cost: 2.8530 data_cost: 0.0017 ips: 28.0411 images/s [10/16 05:19:14] ppdet.engine INFO: Epoch: [217] [240/366] learning_rate: 0.069863 loss_vfl: 0.857712 loss_bbox: 0.304197 loss_dfl: 0.188291 loss: 1.346663 eta: 23:24:31 batch_cost: 2.8616 data_cost: 0.0017 ips: 27.9566 images/s [10/16 05:20:14] ppdet.engine INFO: Epoch: [217] [260/366] learning_rate: 0.069776 loss_vfl: 0.861998 loss_bbox: 0.309190 loss_dfl: 0.190422 loss: 1.361780 eta: 23:23:36 batch_cost: 2.8590 data_cost: 0.0017 ips: 27.9815 images/s [10/16 05:21:15] ppdet.engine INFO: Epoch: [217] [280/366] learning_rate: 0.069689 loss_vfl: 0.862569 loss_bbox: 0.310676 loss_dfl: 0.188254 loss: 1.369558 eta: 23:22:41 batch_cost: 2.9077 data_cost: 0.0016 ips: 27.5131 images/s [10/16 05:22:16] ppdet.engine INFO: Epoch: [217] [300/366] learning_rate: 0.069602 loss_vfl: 0.859635 loss_bbox: 0.312780 loss_dfl: 0.194838 loss: 1.370060 eta: 23:21:46 batch_cost: 2.8915 data_cost: 0.0017 ips: 27.6669 images/s [10/16 05:23:17] ppdet.engine INFO: Epoch: [217] [320/366] learning_rate: 0.069515 loss_vfl: 0.856685 loss_bbox: 0.320665 loss_dfl: 0.197348 loss: 1.370907 eta: 23:20:51 batch_cost: 2.9269 data_cost: 0.0024 ips: 27.3330 images/s [10/16 05:24:18] ppdet.engine INFO: Epoch: [217] [340/366] learning_rate: 0.069429 loss_vfl: 0.860339 loss_bbox: 0.303744 loss_dfl: 0.192725 loss: 1.365337 eta: 23:19:55 batch_cost: 2.8723 data_cost: 0.0016 ips: 27.8519 images/s [10/16 05:25:12] ppdet.engine INFO: Epoch: [217] [360/366] learning_rate: 0.069342 loss_vfl: 0.865547 loss_bbox: 0.303495 loss_dfl: 0.188858 loss: 1.353591 eta: 23:18:58 batch_cost: 2.5665 data_cost: 0.0016 ips: 31.1709 images/s [10/16 05:25:54] ppdet.engine INFO: Epoch: [218] [ 0/366] learning_rate: 0.069316 loss_vfl: 0.876622 loss_bbox: 0.311500 loss_dfl: 0.190416 loss: 1.357613 eta: 23:18:48 batch_cost: 3.5326 data_cost: 0.6500 ips: 22.6463 images/s [10/16 05:26:53] ppdet.engine INFO: Epoch: [218] [ 20/366] learning_rate: 0.069229 loss_vfl: 0.839598 loss_bbox: 0.307788 loss_dfl: 0.186466 loss: 1.343301 eta: 23:17:52 batch_cost: 2.7939 data_cost: 0.0019 ips: 28.6334 images/s [10/16 05:27:52] ppdet.engine INFO: Epoch: [218] [ 40/366] learning_rate: 0.069143 loss_vfl: 0.856005 loss_bbox: 0.310258 loss_dfl: 0.195799 loss: 1.357958 eta: 23:16:56 batch_cost: 2.8076 data_cost: 0.0019 ips: 28.4944 images/s [10/16 05:28:51] ppdet.engine INFO: Epoch: [218] [ 60/366] learning_rate: 0.069056 loss_vfl: 0.851762 loss_bbox: 0.313582 loss_dfl: 0.191171 loss: 1.351703 eta: 23:16:01 batch_cost: 2.8404 data_cost: 0.0017 ips: 28.1649 images/s [10/16 05:29:50] ppdet.engine INFO: Epoch: [218] [ 80/366] learning_rate: 0.068970 loss_vfl: 0.851240 loss_bbox: 0.321340 loss_dfl: 0.200737 loss: 1.367138 eta: 23:15:05 batch_cost: 2.7755 data_cost: 0.0017 ips: 28.8239 images/s [10/16 05:30:50] ppdet.engine INFO: Epoch: [218] [100/366] learning_rate: 0.068883 loss_vfl: 0.854627 loss_bbox: 0.281878 loss_dfl: 0.186981 loss: 1.342611 eta: 23:14:09 batch_cost: 2.8454 data_cost: 0.0018 ips: 28.1153 images/s [10/16 05:31:49] ppdet.engine INFO: Epoch: [218] [120/366] learning_rate: 0.068797 loss_vfl: 0.864163 loss_bbox: 0.300209 loss_dfl: 0.189030 loss: 1.369550 eta: 23:13:13 batch_cost: 2.8175 data_cost: 0.0023 ips: 28.3936 images/s [10/16 05:32:49] ppdet.engine INFO: Epoch: [218] [140/366] learning_rate: 0.068710 loss_vfl: 0.853430 loss_bbox: 0.296023 loss_dfl: 0.187292 loss: 1.337029 eta: 23:12:17 batch_cost: 2.7924 data_cost: 0.0016 ips: 28.6495 images/s [10/16 05:33:48] ppdet.engine INFO: Epoch: [218] [160/366] learning_rate: 0.068624 loss_vfl: 0.864354 loss_bbox: 0.300971 loss_dfl: 0.185725 loss: 1.335598 eta: 23:11:22 batch_cost: 2.8194 data_cost: 0.0016 ips: 28.3751 images/s [10/16 05:34:47] ppdet.engine INFO: Epoch: [218] [180/366] learning_rate: 0.068538 loss_vfl: 0.865004 loss_bbox: 0.288258 loss_dfl: 0.185378 loss: 1.337393 eta: 23:10:26 batch_cost: 2.8116 data_cost: 0.0016 ips: 28.4534 images/s [10/16 05:35:45] ppdet.engine INFO: Epoch: [218] [200/366] learning_rate: 0.068452 loss_vfl: 0.872569 loss_bbox: 0.300514 loss_dfl: 0.187201 loss: 1.327359 eta: 23:09:30 batch_cost: 2.7585 data_cost: 0.0016 ips: 29.0014 images/s [10/16 05:36:43] ppdet.engine INFO: Epoch: [218] [220/366] learning_rate: 0.068365 loss_vfl: 0.850059 loss_bbox: 0.283239 loss_dfl: 0.186921 loss: 1.333250 eta: 23:08:33 batch_cost: 2.7443 data_cost: 0.0016 ips: 29.1509 images/s [10/16 05:37:42] ppdet.engine INFO: Epoch: [218] [240/366] learning_rate: 0.068279 loss_vfl: 0.846806 loss_bbox: 0.317012 loss_dfl: 0.195476 loss: 1.360943 eta: 23:07:38 batch_cost: 2.8373 data_cost: 0.0017 ips: 28.1956 images/s [10/16 05:38:41] ppdet.engine INFO: Epoch: [218] [260/366] learning_rate: 0.068193 loss_vfl: 0.848964 loss_bbox: 0.307813 loss_dfl: 0.198722 loss: 1.353521 eta: 23:06:42 batch_cost: 2.7904 data_cost: 0.0017 ips: 28.6702 images/s [10/16 05:39:40] ppdet.engine INFO: Epoch: [218] [280/366] learning_rate: 0.068107 loss_vfl: 0.853984 loss_bbox: 0.308816 loss_dfl: 0.195302 loss: 1.340574 eta: 23:05:46 batch_cost: 2.8113 data_cost: 0.0017 ips: 28.4566 images/s [10/16 05:40:40] ppdet.engine INFO: Epoch: [218] [300/366] learning_rate: 0.068021 loss_vfl: 0.849246 loss_bbox: 0.312816 loss_dfl: 0.195380 loss: 1.349519 eta: 23:04:50 batch_cost: 2.8527 data_cost: 0.0017 ips: 28.0431 images/s [10/16 05:41:39] ppdet.engine INFO: Epoch: [218] [320/366] learning_rate: 0.067935 loss_vfl: 0.845660 loss_bbox: 0.294386 loss_dfl: 0.186241 loss: 1.330849 eta: 23:03:54 batch_cost: 2.7882 data_cost: 0.0016 ips: 28.6925 images/s [10/16 05:42:37] ppdet.engine INFO: Epoch: [218] [340/366] learning_rate: 0.067849 loss_vfl: 0.852365 loss_bbox: 0.309467 loss_dfl: 0.189636 loss: 1.359471 eta: 23:02:58 batch_cost: 2.7626 data_cost: 0.0017 ips: 28.9582 images/s [10/16 05:43:30] ppdet.engine INFO: Epoch: [218] [360/366] learning_rate: 0.067763 loss_vfl: 0.860885 loss_bbox: 0.313134 loss_dfl: 0.192763 loss: 1.363527 eta: 23:02:00 batch_cost: 2.4987 data_cost: 0.0016 ips: 32.0165 images/s [10/16 05:44:08] ppdet.engine INFO: Epoch: [219] [ 0/366] learning_rate: 0.067738 loss_vfl: 0.857543 loss_bbox: 0.318779 loss_dfl: 0.194057 loss: 1.363527 eta: 23:01:49 batch_cost: 3.3023 data_cost: 0.4553 ips: 24.2257 images/s [10/16 05:45:09] ppdet.engine INFO: Epoch: [219] [ 20/366] learning_rate: 0.067652 loss_vfl: 0.846068 loss_bbox: 0.313255 loss_dfl: 0.191388 loss: 1.360359 eta: 23:00:54 batch_cost: 2.8780 data_cost: 0.0017 ips: 27.7969 images/s [10/16 05:46:09] ppdet.engine INFO: Epoch: [219] [ 40/366] learning_rate: 0.067566 loss_vfl: 0.850139 loss_bbox: 0.288611 loss_dfl: 0.187530 loss: 1.338268 eta: 22:59:58 batch_cost: 2.8256 data_cost: 0.0030 ips: 28.3122 images/s [10/16 05:47:07] ppdet.engine INFO: Epoch: [219] [ 60/366] learning_rate: 0.067480 loss_vfl: 0.850420 loss_bbox: 0.299779 loss_dfl: 0.196110 loss: 1.348201 eta: 22:59:02 batch_cost: 2.7612 data_cost: 0.0017 ips: 28.9727 images/s [10/16 05:48:05] ppdet.engine INFO: Epoch: [219] [ 80/366] learning_rate: 0.067395 loss_vfl: 0.842923 loss_bbox: 0.290309 loss_dfl: 0.186269 loss: 1.337234 eta: 22:58:06 batch_cost: 2.7377 data_cost: 0.0017 ips: 29.2211 images/s [10/16 05:49:05] ppdet.engine INFO: Epoch: [219] [100/366] learning_rate: 0.067309 loss_vfl: 0.860395 loss_bbox: 0.292495 loss_dfl: 0.184783 loss: 1.336316 eta: 22:57:10 batch_cost: 2.8727 data_cost: 0.0016 ips: 27.8487 images/s [10/16 05:50:06] ppdet.engine INFO: Epoch: [219] [120/366] learning_rate: 0.067223 loss_vfl: 0.852520 loss_bbox: 0.289373 loss_dfl: 0.181947 loss: 1.328545 eta: 22:56:15 batch_cost: 2.8777 data_cost: 0.0016 ips: 27.7998 images/s [10/16 05:51:05] ppdet.engine INFO: Epoch: [219] [140/366] learning_rate: 0.067138 loss_vfl: 0.846074 loss_bbox: 0.314574 loss_dfl: 0.197433 loss: 1.356090 eta: 22:55:19 batch_cost: 2.7860 data_cost: 0.0017 ips: 28.7147 images/s [10/16 05:52:04] ppdet.engine INFO: Epoch: [219] [160/366] learning_rate: 0.067052 loss_vfl: 0.871345 loss_bbox: 0.304585 loss_dfl: 0.187702 loss: 1.351169 eta: 22:54:23 batch_cost: 2.8192 data_cost: 0.0016 ips: 28.3767 images/s [10/16 05:53:02] ppdet.engine INFO: Epoch: [219] [180/366] learning_rate: 0.066967 loss_vfl: 0.853390 loss_bbox: 0.313125 loss_dfl: 0.193334 loss: 1.352772 eta: 22:53:27 batch_cost: 2.7861 data_cost: 0.0031 ips: 28.7141 images/s [10/16 05:54:02] ppdet.engine INFO: Epoch: [219] [200/366] learning_rate: 0.066881 loss_vfl: 0.854841 loss_bbox: 0.290122 loss_dfl: 0.185619 loss: 1.347907 eta: 22:52:31 batch_cost: 2.8174 data_cost: 0.0016 ips: 28.3952 images/s [10/16 05:55:01] ppdet.engine INFO: Epoch: [219] [220/366] learning_rate: 0.066796 loss_vfl: 0.858578 loss_bbox: 0.299017 loss_dfl: 0.194131 loss: 1.348546 eta: 22:51:35 batch_cost: 2.8096 data_cost: 0.0023 ips: 28.4740 images/s [10/16 05:56:02] ppdet.engine INFO: Epoch: [219] [240/366] learning_rate: 0.066711 loss_vfl: 0.861457 loss_bbox: 0.296770 loss_dfl: 0.177721 loss: 1.353061 eta: 22:50:40 batch_cost: 2.8820 data_cost: 0.0023 ips: 27.7586 images/s [10/16 05:57:00] ppdet.engine INFO: Epoch: [219] [260/366] learning_rate: 0.066625 loss_vfl: 0.849674 loss_bbox: 0.331045 loss_dfl: 0.196778 loss: 1.376857 eta: 22:49:44 batch_cost: 2.7574 data_cost: 0.0017 ips: 29.0126 images/s [10/16 05:57:57] ppdet.engine INFO: Epoch: [219] [280/366] learning_rate: 0.066540 loss_vfl: 0.856012 loss_bbox: 0.302315 loss_dfl: 0.189505 loss: 1.343182 eta: 22:48:48 batch_cost: 2.7340 data_cost: 0.0018 ips: 29.2613 images/s [10/16 05:58:57] ppdet.engine INFO: Epoch: [219] [300/366] learning_rate: 0.066455 loss_vfl: 0.850872 loss_bbox: 0.300684 loss_dfl: 0.191954 loss: 1.339098 eta: 22:47:52 batch_cost: 2.8031 data_cost: 0.0017 ips: 28.5402 images/s [10/16 05:59:56] ppdet.engine INFO: Epoch: [219] [320/366] learning_rate: 0.066370 loss_vfl: 0.860064 loss_bbox: 0.298780 loss_dfl: 0.191723 loss: 1.346747 eta: 22:46:56 batch_cost: 2.8107 data_cost: 0.0024 ips: 28.4628 images/s [10/16 06:00:55] ppdet.engine INFO: Epoch: [219] [340/366] learning_rate: 0.066284 loss_vfl: 0.856021 loss_bbox: 0.302863 loss_dfl: 0.194272 loss: 1.372875 eta: 22:46:00 batch_cost: 2.8051 data_cost: 0.0025 ips: 28.5200 images/s [10/16 06:01:50] ppdet.engine INFO: Epoch: [219] [360/366] learning_rate: 0.066199 loss_vfl: 0.855116 loss_bbox: 0.305971 loss_dfl: 0.194700 loss: 1.346936 eta: 22:45:02 batch_cost: 2.5778 data_cost: 0.0016 ips: 31.0344 images/s [10/16 06:02:06] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 06:02:06] ppdet.engine INFO: Eval iter: 0 [10/16 06:02:48] ppdet.engine INFO: Eval iter: 100 [10/16 06:03:11] ppdet.engine INFO: Eval iter: 200 [10/16 06:03:33] ppdet.engine INFO: Eval iter: 300 [10/16 06:03:55] ppdet.engine INFO: Eval iter: 400 [10/16 06:04:18] ppdet.engine INFO: Eval iter: 500 [10/16 06:04:41] ppdet.engine INFO: Eval iter: 600 [10/16 06:05:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/16 06:05:03] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.22s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.01s). Accumulating evaluation results... DONE (t=17.16s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.301 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.448 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.315 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.276 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.195 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.709 [10/16 06:07:05] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.82432838608834 [10/16 06:07:05] ppdet.engine INFO: Best test bbox ap is 0.301. [10/16 06:07:05] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 06:07:08] ppdet.engine INFO: Epoch: [220] [ 0/366] learning_rate: 0.066174 loss_vfl: 0.854763 loss_bbox: 0.312444 loss_dfl: 0.195339 loss: 1.356883 eta: 22:44:45 batch_cost: 2.4410 data_cost: 0.0017 ips: 32.7733 images/s [10/16 06:08:09] ppdet.engine INFO: Epoch: [220] [ 20/366] learning_rate: 0.066089 loss_vfl: 0.864441 loss_bbox: 0.316369 loss_dfl: 0.189861 loss: 1.361862 eta: 22:43:50 batch_cost: 2.9003 data_cost: 0.0018 ips: 27.5836 images/s [10/16 06:09:08] ppdet.engine INFO: Epoch: [220] [ 40/366] learning_rate: 0.066004 loss_vfl: 0.869143 loss_bbox: 0.293073 loss_dfl: 0.188949 loss: 1.348105 eta: 22:42:54 batch_cost: 2.8276 data_cost: 0.0017 ips: 28.2927 images/s [10/16 06:10:09] ppdet.engine INFO: Epoch: [220] [ 60/366] learning_rate: 0.065919 loss_vfl: 0.856319 loss_bbox: 0.308075 loss_dfl: 0.194795 loss: 1.369369 eta: 22:41:58 batch_cost: 2.8628 data_cost: 0.0017 ips: 27.9442 images/s [10/16 06:11:07] ppdet.engine INFO: Epoch: [220] [ 80/366] learning_rate: 0.065834 loss_vfl: 0.849117 loss_bbox: 0.306224 loss_dfl: 0.189775 loss: 1.353831 eta: 22:41:02 batch_cost: 2.7718 data_cost: 0.0023 ips: 28.8623 images/s [10/16 06:12:06] ppdet.engine INFO: Epoch: [220] [100/366] learning_rate: 0.065749 loss_vfl: 0.848561 loss_bbox: 0.298969 loss_dfl: 0.190697 loss: 1.345263 eta: 22:40:06 batch_cost: 2.7770 data_cost: 0.0016 ips: 28.8084 images/s [10/16 06:13:04] ppdet.engine INFO: Epoch: [220] [120/366] learning_rate: 0.065664 loss_vfl: 0.862470 loss_bbox: 0.300650 loss_dfl: 0.189499 loss: 1.335783 eta: 22:39:10 batch_cost: 2.7601 data_cost: 0.0023 ips: 28.9845 images/s [10/16 06:14:04] ppdet.engine INFO: Epoch: [220] [140/366] learning_rate: 0.065580 loss_vfl: 0.849240 loss_bbox: 0.308587 loss_dfl: 0.191670 loss: 1.356357 eta: 22:38:14 batch_cost: 2.8125 data_cost: 0.0016 ips: 28.4447 images/s [10/16 06:15:05] ppdet.engine INFO: Epoch: [220] [160/366] learning_rate: 0.065495 loss_vfl: 0.843851 loss_bbox: 0.305069 loss_dfl: 0.192178 loss: 1.350001 eta: 22:37:19 batch_cost: 2.9081 data_cost: 0.0016 ips: 27.5098 images/s [10/16 06:16:05] ppdet.engine INFO: Epoch: [220] [180/366] learning_rate: 0.065410 loss_vfl: 0.860436 loss_bbox: 0.303699 loss_dfl: 0.194543 loss: 1.361174 eta: 22:36:23 batch_cost: 2.8296 data_cost: 0.0016 ips: 28.2723 images/s [10/16 06:17:05] ppdet.engine INFO: Epoch: [220] [200/366] learning_rate: 0.065326 loss_vfl: 0.861259 loss_bbox: 0.295524 loss_dfl: 0.187087 loss: 1.341471 eta: 22:35:28 batch_cost: 2.8587 data_cost: 0.0017 ips: 27.9848 images/s [10/16 06:18:05] ppdet.engine INFO: Epoch: [220] [220/366] learning_rate: 0.065241 loss_vfl: 0.856724 loss_bbox: 0.298614 loss_dfl: 0.188684 loss: 1.351679 eta: 22:34:32 batch_cost: 2.8578 data_cost: 0.0017 ips: 27.9939 images/s [10/16 06:19:05] ppdet.engine INFO: Epoch: [220] [240/366] learning_rate: 0.065156 loss_vfl: 0.866854 loss_bbox: 0.279462 loss_dfl: 0.182526 loss: 1.334337 eta: 22:33:37 batch_cost: 2.8288 data_cost: 0.0017 ips: 28.2802 images/s [10/16 06:20:06] ppdet.engine INFO: Epoch: [220] [260/366] learning_rate: 0.065072 loss_vfl: 0.851967 loss_bbox: 0.292109 loss_dfl: 0.190501 loss: 1.363576 eta: 22:32:41 batch_cost: 2.9021 data_cost: 0.0023 ips: 27.5660 images/s [10/16 06:21:05] ppdet.engine INFO: Epoch: [220] [280/366] learning_rate: 0.064987 loss_vfl: 0.847512 loss_bbox: 0.301823 loss_dfl: 0.189897 loss: 1.345930 eta: 22:31:46 batch_cost: 2.7932 data_cost: 0.0016 ips: 28.6407 images/s [10/16 06:22:04] ppdet.engine INFO: Epoch: [220] [300/366] learning_rate: 0.064903 loss_vfl: 0.857859 loss_bbox: 0.311941 loss_dfl: 0.195044 loss: 1.361678 eta: 22:30:50 batch_cost: 2.7934 data_cost: 0.0016 ips: 28.6389 images/s [10/16 06:23:05] ppdet.engine INFO: Epoch: [220] [320/366] learning_rate: 0.064819 loss_vfl: 0.850572 loss_bbox: 0.304935 loss_dfl: 0.191638 loss: 1.343409 eta: 22:29:54 batch_cost: 2.9059 data_cost: 0.0017 ips: 27.5300 images/s [10/16 06:24:04] ppdet.engine INFO: Epoch: [220] [340/366] learning_rate: 0.064734 loss_vfl: 0.850078 loss_bbox: 0.295832 loss_dfl: 0.185299 loss: 1.327171 eta: 22:28:59 batch_cost: 2.8259 data_cost: 0.0025 ips: 28.3094 images/s [10/16 06:24:59] ppdet.engine INFO: Epoch: [220] [360/366] learning_rate: 0.064650 loss_vfl: 0.850686 loss_bbox: 0.306667 loss_dfl: 0.189703 loss: 1.345654 eta: 22:28:01 batch_cost: 2.5935 data_cost: 0.0016 ips: 30.8464 images/s [10/16 06:25:37] ppdet.engine INFO: Epoch: [221] [ 0/366] learning_rate: 0.064625 loss_vfl: 0.846178 loss_bbox: 0.306971 loss_dfl: 0.189303 loss: 1.343110 eta: 22:27:50 batch_cost: 3.3684 data_cost: 0.5534 ips: 23.7500 images/s [10/16 06:26:40] ppdet.engine INFO: Epoch: [221] [ 20/366] learning_rate: 0.064541 loss_vfl: 0.854690 loss_bbox: 0.302913 loss_dfl: 0.191046 loss: 1.370421 eta: 22:26:56 batch_cost: 3.0352 data_cost: 0.0018 ips: 26.3575 images/s [10/16 06:27:41] ppdet.engine INFO: Epoch: [221] [ 40/366] learning_rate: 0.064456 loss_vfl: 0.854088 loss_bbox: 0.313052 loss_dfl: 0.198421 loss: 1.364716 eta: 22:26:01 batch_cost: 2.8831 data_cost: 0.0033 ips: 27.7479 images/s [10/16 06:28:41] ppdet.engine INFO: Epoch: [221] [ 60/366] learning_rate: 0.064372 loss_vfl: 0.844358 loss_bbox: 0.290843 loss_dfl: 0.186792 loss: 1.339604 eta: 22:25:05 batch_cost: 2.8721 data_cost: 0.0019 ips: 27.8540 images/s [10/16 06:29:41] ppdet.engine INFO: Epoch: [221] [ 80/366] learning_rate: 0.064288 loss_vfl: 0.861059 loss_bbox: 0.304455 loss_dfl: 0.189116 loss: 1.343999 eta: 22:24:09 batch_cost: 2.8094 data_cost: 0.0017 ips: 28.4757 images/s [10/16 06:30:39] ppdet.engine INFO: Epoch: [221] [100/366] learning_rate: 0.064204 loss_vfl: 0.847263 loss_bbox: 0.312657 loss_dfl: 0.190951 loss: 1.356326 eta: 22:23:13 batch_cost: 2.7742 data_cost: 0.0016 ips: 28.8371 images/s [10/16 06:31:38] ppdet.engine INFO: Epoch: [221] [120/366] learning_rate: 0.064120 loss_vfl: 0.852867 loss_bbox: 0.298337 loss_dfl: 0.190883 loss: 1.329203 eta: 22:22:17 batch_cost: 2.8049 data_cost: 0.0017 ips: 28.5217 images/s [10/16 06:32:37] ppdet.engine INFO: Epoch: [221] [140/366] learning_rate: 0.064036 loss_vfl: 0.853513 loss_bbox: 0.298822 loss_dfl: 0.192849 loss: 1.365200 eta: 22:21:21 batch_cost: 2.7709 data_cost: 0.0017 ips: 28.8720 images/s [10/16 06:33:36] ppdet.engine INFO: Epoch: [221] [160/366] learning_rate: 0.063952 loss_vfl: 0.837075 loss_bbox: 0.307008 loss_dfl: 0.191022 loss: 1.352551 eta: 22:20:26 batch_cost: 2.8214 data_cost: 0.0016 ips: 28.3549 images/s [10/16 06:34:34] ppdet.engine INFO: Epoch: [221] [180/366] learning_rate: 0.063868 loss_vfl: 0.847474 loss_bbox: 0.289315 loss_dfl: 0.190200 loss: 1.323848 eta: 22:19:29 batch_cost: 2.7711 data_cost: 0.0026 ips: 28.8692 images/s [10/16 06:35:33] ppdet.engine INFO: Epoch: [221] [200/366] learning_rate: 0.063785 loss_vfl: 0.846887 loss_bbox: 0.300527 loss_dfl: 0.188261 loss: 1.349133 eta: 22:18:33 batch_cost: 2.7625 data_cost: 0.0017 ips: 28.9592 images/s [10/16 06:36:31] ppdet.engine INFO: Epoch: [221] [220/366] learning_rate: 0.063701 loss_vfl: 0.858926 loss_bbox: 0.301808 loss_dfl: 0.192749 loss: 1.361707 eta: 22:17:37 batch_cost: 2.7613 data_cost: 0.0016 ips: 28.9716 images/s [10/16 06:37:29] ppdet.engine INFO: Epoch: [221] [240/366] learning_rate: 0.063617 loss_vfl: 0.845322 loss_bbox: 0.315069 loss_dfl: 0.195463 loss: 1.353017 eta: 22:16:41 batch_cost: 2.7755 data_cost: 0.0017 ips: 28.8240 images/s [10/16 06:38:28] ppdet.engine INFO: Epoch: [221] [260/366] learning_rate: 0.063533 loss_vfl: 0.850033 loss_bbox: 0.299724 loss_dfl: 0.187251 loss: 1.337754 eta: 22:15:45 batch_cost: 2.7834 data_cost: 0.0016 ips: 28.7423 images/s [10/16 06:39:26] ppdet.engine INFO: Epoch: [221] [280/366] learning_rate: 0.063450 loss_vfl: 0.850296 loss_bbox: 0.299090 loss_dfl: 0.190929 loss: 1.353129 eta: 22:14:48 batch_cost: 2.7203 data_cost: 0.0017 ips: 29.4088 images/s [10/16 06:40:23] ppdet.engine INFO: Epoch: [221] [300/366] learning_rate: 0.063366 loss_vfl: 0.841300 loss_bbox: 0.308917 loss_dfl: 0.193624 loss: 1.359883 eta: 22:13:52 batch_cost: 2.7181 data_cost: 0.0024 ips: 29.4328 images/s [10/16 06:41:21] ppdet.engine INFO: Epoch: [221] [320/366] learning_rate: 0.063283 loss_vfl: 0.855746 loss_bbox: 0.315308 loss_dfl: 0.199290 loss: 1.363663 eta: 22:12:56 batch_cost: 2.7550 data_cost: 0.0019 ips: 29.0379 images/s [10/16 06:42:20] ppdet.engine INFO: Epoch: [221] [340/366] learning_rate: 0.063199 loss_vfl: 0.861360 loss_bbox: 0.303266 loss_dfl: 0.189085 loss: 1.355217 eta: 22:12:00 batch_cost: 2.7735 data_cost: 0.0016 ips: 28.8448 images/s [10/16 06:43:16] ppdet.engine INFO: Epoch: [221] [360/366] learning_rate: 0.063116 loss_vfl: 0.857000 loss_bbox: 0.304369 loss_dfl: 0.193026 loss: 1.368320 eta: 22:11:03 batch_cost: 2.6705 data_cost: 0.0023 ips: 29.9567 images/s [10/16 06:43:56] ppdet.engine INFO: Epoch: [222] [ 0/366] learning_rate: 0.063091 loss_vfl: 0.854651 loss_bbox: 0.304006 loss_dfl: 0.193257 loss: 1.367756 eta: 22:10:53 batch_cost: 3.6228 data_cost: 0.4579 ips: 22.0822 images/s [10/16 06:44:57] ppdet.engine INFO: Epoch: [222] [ 20/366] learning_rate: 0.063007 loss_vfl: 0.844070 loss_bbox: 0.298516 loss_dfl: 0.189178 loss: 1.350936 eta: 22:09:57 batch_cost: 2.8806 data_cost: 0.0021 ips: 27.7723 images/s [10/16 06:45:57] ppdet.engine INFO: Epoch: [222] [ 40/366] learning_rate: 0.062924 loss_vfl: 0.837266 loss_bbox: 0.293846 loss_dfl: 0.190159 loss: 1.306126 eta: 22:09:02 batch_cost: 2.8435 data_cost: 0.0024 ips: 28.1342 images/s [10/16 06:46:53] ppdet.engine INFO: Epoch: [222] [ 60/366] learning_rate: 0.062840 loss_vfl: 0.846111 loss_bbox: 0.295988 loss_dfl: 0.188593 loss: 1.330914 eta: 22:08:05 batch_cost: 2.6719 data_cost: 0.0022 ips: 29.9416 images/s [10/16 06:47:52] ppdet.engine INFO: Epoch: [222] [ 80/366] learning_rate: 0.062757 loss_vfl: 0.839863 loss_bbox: 0.295842 loss_dfl: 0.188714 loss: 1.323434 eta: 22:07:09 batch_cost: 2.7974 data_cost: 0.0017 ips: 28.5978 images/s [10/16 06:48:50] ppdet.engine INFO: Epoch: [222] [100/366] learning_rate: 0.062674 loss_vfl: 0.851401 loss_bbox: 0.300631 loss_dfl: 0.196871 loss: 1.355367 eta: 22:06:12 batch_cost: 2.7026 data_cost: 0.0017 ips: 29.6014 images/s [10/16 06:49:47] ppdet.engine INFO: Epoch: [222] [120/366] learning_rate: 0.062591 loss_vfl: 0.845374 loss_bbox: 0.306098 loss_dfl: 0.188850 loss: 1.349947 eta: 22:05:16 batch_cost: 2.7220 data_cost: 0.0016 ips: 29.3898 images/s [10/16 06:50:46] ppdet.engine INFO: Epoch: [222] [140/366] learning_rate: 0.062508 loss_vfl: 0.872377 loss_bbox: 0.296481 loss_dfl: 0.185943 loss: 1.347373 eta: 22:04:20 batch_cost: 2.8078 data_cost: 0.0017 ips: 28.4924 images/s [10/16 06:51:45] ppdet.engine INFO: Epoch: [222] [160/366] learning_rate: 0.062425 loss_vfl: 0.841883 loss_bbox: 0.307707 loss_dfl: 0.187855 loss: 1.332493 eta: 22:03:24 batch_cost: 2.8138 data_cost: 0.0018 ips: 28.4313 images/s [10/16 06:52:45] ppdet.engine INFO: Epoch: [222] [180/366] learning_rate: 0.062342 loss_vfl: 0.854247 loss_bbox: 0.301448 loss_dfl: 0.184988 loss: 1.349088 eta: 22:02:28 batch_cost: 2.8132 data_cost: 0.0017 ips: 28.4373 images/s [10/16 06:53:43] ppdet.engine INFO: Epoch: [222] [200/366] learning_rate: 0.062259 loss_vfl: 0.844856 loss_bbox: 0.283348 loss_dfl: 0.183427 loss: 1.309467 eta: 22:01:32 batch_cost: 2.7649 data_cost: 0.0017 ips: 28.9344 images/s [10/16 06:54:41] ppdet.engine INFO: Epoch: [222] [220/366] learning_rate: 0.062176 loss_vfl: 0.851492 loss_bbox: 0.288258 loss_dfl: 0.179945 loss: 1.333904 eta: 22:00:36 batch_cost: 2.7650 data_cost: 0.0016 ips: 28.9329 images/s [10/16 06:55:41] ppdet.engine INFO: Epoch: [222] [240/366] learning_rate: 0.062093 loss_vfl: 0.850622 loss_bbox: 0.290130 loss_dfl: 0.188830 loss: 1.334671 eta: 21:59:40 batch_cost: 2.8353 data_cost: 0.0017 ips: 28.2158 images/s [10/16 06:56:40] ppdet.engine INFO: Epoch: [222] [260/366] learning_rate: 0.062010 loss_vfl: 0.839163 loss_bbox: 0.298051 loss_dfl: 0.190342 loss: 1.347904 eta: 21:58:44 batch_cost: 2.8256 data_cost: 0.0017 ips: 28.3121 images/s [10/16 06:57:38] ppdet.engine INFO: Epoch: [222] [280/366] learning_rate: 0.061927 loss_vfl: 0.850359 loss_bbox: 0.307533 loss_dfl: 0.189431 loss: 1.358954 eta: 21:57:48 batch_cost: 2.7445 data_cost: 0.0016 ips: 29.1495 images/s [10/16 06:58:37] ppdet.engine INFO: Epoch: [222] [300/366] learning_rate: 0.061844 loss_vfl: 0.859655 loss_bbox: 0.279483 loss_dfl: 0.182579 loss: 1.337238 eta: 21:56:52 batch_cost: 2.7680 data_cost: 0.0017 ips: 28.9021 images/s [10/16 06:59:36] ppdet.engine INFO: Epoch: [222] [320/366] learning_rate: 0.061761 loss_vfl: 0.847393 loss_bbox: 0.306694 loss_dfl: 0.193721 loss: 1.356092 eta: 21:55:56 batch_cost: 2.7901 data_cost: 0.0016 ips: 28.6726 images/s [10/16 07:00:33] ppdet.engine INFO: Epoch: [222] [340/366] learning_rate: 0.061679 loss_vfl: 0.844340 loss_bbox: 0.298277 loss_dfl: 0.190324 loss: 1.329377 eta: 21:55:00 batch_cost: 2.7304 data_cost: 0.0021 ips: 29.3000 images/s [10/16 07:01:29] ppdet.engine INFO: Epoch: [222] [360/366] learning_rate: 0.061596 loss_vfl: 0.842956 loss_bbox: 0.311945 loss_dfl: 0.199910 loss: 1.353068 eta: 21:54:03 batch_cost: 2.6411 data_cost: 0.0016 ips: 30.2900 images/s [10/16 07:02:07] ppdet.engine INFO: Epoch: [223] [ 0/366] learning_rate: 0.061571 loss_vfl: 0.852318 loss_bbox: 0.311945 loss_dfl: 0.200683 loss: 1.360940 eta: 21:53:52 batch_cost: 3.4835 data_cost: 0.3165 ips: 22.9657 images/s [10/16 07:03:07] ppdet.engine INFO: Epoch: [223] [ 20/366] learning_rate: 0.061489 loss_vfl: 0.846224 loss_bbox: 0.319282 loss_dfl: 0.195437 loss: 1.346502 eta: 21:52:56 batch_cost: 2.7916 data_cost: 0.0021 ips: 28.6578 images/s [10/16 07:04:05] ppdet.engine INFO: Epoch: [223] [ 40/366] learning_rate: 0.061406 loss_vfl: 0.860696 loss_bbox: 0.282994 loss_dfl: 0.190461 loss: 1.330478 eta: 21:51:59 batch_cost: 2.7467 data_cost: 0.0016 ips: 29.1254 images/s [10/16 07:05:04] ppdet.engine INFO: Epoch: [223] [ 60/366] learning_rate: 0.061324 loss_vfl: 0.851782 loss_bbox: 0.309458 loss_dfl: 0.197524 loss: 1.363479 eta: 21:51:03 batch_cost: 2.7888 data_cost: 0.0017 ips: 28.6857 images/s [10/16 07:06:02] ppdet.engine INFO: Epoch: [223] [ 80/366] learning_rate: 0.061241 loss_vfl: 0.861008 loss_bbox: 0.306981 loss_dfl: 0.193639 loss: 1.371017 eta: 21:50:07 batch_cost: 2.7841 data_cost: 0.0018 ips: 28.7341 images/s [10/16 07:07:02] ppdet.engine INFO: Epoch: [223] [100/366] learning_rate: 0.061159 loss_vfl: 0.851920 loss_bbox: 0.285018 loss_dfl: 0.180953 loss: 1.316566 eta: 21:49:12 batch_cost: 2.8165 data_cost: 0.0020 ips: 28.4042 images/s [10/16 07:08:00] ppdet.engine INFO: Epoch: [223] [120/366] learning_rate: 0.061077 loss_vfl: 0.861679 loss_bbox: 0.296484 loss_dfl: 0.192856 loss: 1.330754 eta: 21:48:15 batch_cost: 2.7556 data_cost: 0.0017 ips: 29.0314 images/s [10/16 07:08:58] ppdet.engine INFO: Epoch: [223] [140/366] learning_rate: 0.060994 loss_vfl: 0.837704 loss_bbox: 0.310474 loss_dfl: 0.195466 loss: 1.333941 eta: 21:47:19 batch_cost: 2.7382 data_cost: 0.0016 ips: 29.2165 images/s [10/16 07:09:55] ppdet.engine INFO: Epoch: [223] [160/366] learning_rate: 0.060912 loss_vfl: 0.840315 loss_bbox: 0.299550 loss_dfl: 0.190476 loss: 1.337765 eta: 21:46:23 batch_cost: 2.7363 data_cost: 0.0016 ips: 29.2367 images/s [10/16 07:10:53] ppdet.engine INFO: Epoch: [223] [180/366] learning_rate: 0.060830 loss_vfl: 0.849875 loss_bbox: 0.299511 loss_dfl: 0.190397 loss: 1.348253 eta: 21:45:26 batch_cost: 2.7172 data_cost: 0.0024 ips: 29.4418 images/s [10/16 07:11:52] ppdet.engine INFO: Epoch: [223] [200/366] learning_rate: 0.060748 loss_vfl: 0.848709 loss_bbox: 0.308591 loss_dfl: 0.198621 loss: 1.360624 eta: 21:44:30 batch_cost: 2.7719 data_cost: 0.0064 ips: 28.8609 images/s [10/16 07:12:50] ppdet.engine INFO: Epoch: [223] [220/366] learning_rate: 0.060665 loss_vfl: 0.856572 loss_bbox: 0.285325 loss_dfl: 0.180121 loss: 1.324538 eta: 21:43:34 batch_cost: 2.7372 data_cost: 0.0017 ips: 29.2271 images/s [10/16 07:13:47] ppdet.engine INFO: Epoch: [223] [240/366] learning_rate: 0.060583 loss_vfl: 0.851572 loss_bbox: 0.322493 loss_dfl: 0.198846 loss: 1.371821 eta: 21:42:37 batch_cost: 2.6974 data_cost: 0.0017 ips: 29.6583 images/s [10/16 07:14:46] ppdet.engine INFO: Epoch: [223] [260/366] learning_rate: 0.060501 loss_vfl: 0.859439 loss_bbox: 0.308379 loss_dfl: 0.193718 loss: 1.348500 eta: 21:41:41 batch_cost: 2.7953 data_cost: 0.0016 ips: 28.6198 images/s [10/16 07:15:45] ppdet.engine INFO: Epoch: [223] [280/366] learning_rate: 0.060419 loss_vfl: 0.835351 loss_bbox: 0.308771 loss_dfl: 0.193555 loss: 1.334834 eta: 21:40:45 batch_cost: 2.8302 data_cost: 0.0016 ips: 28.2665 images/s [10/16 07:16:43] ppdet.engine INFO: Epoch: [223] [300/366] learning_rate: 0.060337 loss_vfl: 0.851597 loss_bbox: 0.305086 loss_dfl: 0.186774 loss: 1.355554 eta: 21:39:49 batch_cost: 2.7439 data_cost: 0.0019 ips: 29.1560 images/s [10/16 07:17:40] ppdet.engine INFO: Epoch: [223] [320/366] learning_rate: 0.060256 loss_vfl: 0.853457 loss_bbox: 0.302614 loss_dfl: 0.187696 loss: 1.349223 eta: 21:38:53 batch_cost: 2.7114 data_cost: 0.0017 ips: 29.5056 images/s [10/16 07:18:38] ppdet.engine INFO: Epoch: [223] [340/366] learning_rate: 0.060174 loss_vfl: 0.848672 loss_bbox: 0.298456 loss_dfl: 0.190939 loss: 1.345232 eta: 21:37:56 batch_cost: 2.7478 data_cost: 0.0017 ips: 29.1145 images/s [10/16 07:19:31] ppdet.engine INFO: Epoch: [223] [360/366] learning_rate: 0.060092 loss_vfl: 0.851540 loss_bbox: 0.325218 loss_dfl: 0.191431 loss: 1.363428 eta: 21:36:58 batch_cost: 2.4801 data_cost: 0.0016 ips: 32.2574 images/s [10/16 07:20:09] ppdet.engine INFO: Epoch: [224] [ 0/366] learning_rate: 0.060067 loss_vfl: 0.857311 loss_bbox: 0.306610 loss_dfl: 0.190131 loss: 1.354703 eta: 21:36:47 batch_cost: 3.3774 data_cost: 0.2327 ips: 23.6871 images/s [10/16 07:21:12] ppdet.engine INFO: Epoch: [224] [ 20/366] learning_rate: 0.059986 loss_vfl: 0.835357 loss_bbox: 0.300393 loss_dfl: 0.189913 loss: 1.331023 eta: 21:35:52 batch_cost: 2.9676 data_cost: 0.0024 ips: 26.9580 images/s [10/16 07:22:12] ppdet.engine INFO: Epoch: [224] [ 40/366] learning_rate: 0.059904 loss_vfl: 0.854971 loss_bbox: 0.294604 loss_dfl: 0.186889 loss: 1.345233 eta: 21:34:57 batch_cost: 2.8195 data_cost: 0.0024 ips: 28.3736 images/s [10/16 07:23:10] ppdet.engine INFO: Epoch: [224] [ 60/366] learning_rate: 0.059822 loss_vfl: 0.837405 loss_bbox: 0.301163 loss_dfl: 0.191672 loss: 1.335537 eta: 21:34:00 batch_cost: 2.7396 data_cost: 0.0016 ips: 29.2011 images/s [10/16 07:24:09] ppdet.engine INFO: Epoch: [224] [ 80/366] learning_rate: 0.059741 loss_vfl: 0.852300 loss_bbox: 0.311042 loss_dfl: 0.198087 loss: 1.369292 eta: 21:33:04 batch_cost: 2.7914 data_cost: 0.0017 ips: 28.6594 images/s [10/16 07:25:07] ppdet.engine INFO: Epoch: [224] [100/366] learning_rate: 0.059659 loss_vfl: 0.857743 loss_bbox: 0.312499 loss_dfl: 0.191656 loss: 1.345577 eta: 21:32:08 batch_cost: 2.7541 data_cost: 0.0017 ips: 29.0479 images/s [10/16 07:26:06] ppdet.engine INFO: Epoch: [224] [120/366] learning_rate: 0.059578 loss_vfl: 0.840046 loss_bbox: 0.300171 loss_dfl: 0.189270 loss: 1.341015 eta: 21:31:12 batch_cost: 2.7940 data_cost: 0.0017 ips: 28.6330 images/s [10/16 07:27:03] ppdet.engine INFO: Epoch: [224] [140/366] learning_rate: 0.059496 loss_vfl: 0.854485 loss_bbox: 0.315967 loss_dfl: 0.193076 loss: 1.363748 eta: 21:30:16 batch_cost: 2.7164 data_cost: 0.0016 ips: 29.4502 images/s [10/16 07:27:59] ppdet.engine INFO: Epoch: [224] [160/366] learning_rate: 0.059415 loss_vfl: 0.850881 loss_bbox: 0.310641 loss_dfl: 0.191942 loss: 1.346529 eta: 21:29:19 batch_cost: 2.6395 data_cost: 0.0023 ips: 30.3085 images/s [10/16 07:28:57] ppdet.engine INFO: Epoch: [224] [180/366] learning_rate: 0.059333 loss_vfl: 0.845806 loss_bbox: 0.306208 loss_dfl: 0.193295 loss: 1.341540 eta: 21:28:22 batch_cost: 2.7443 data_cost: 0.0016 ips: 29.1515 images/s [10/16 07:29:55] ppdet.engine INFO: Epoch: [224] [200/366] learning_rate: 0.059252 loss_vfl: 0.840058 loss_bbox: 0.281360 loss_dfl: 0.181860 loss: 1.303373 eta: 21:27:26 batch_cost: 2.7819 data_cost: 0.0017 ips: 28.7570 images/s [10/16 07:30:56] ppdet.engine INFO: Epoch: [224] [220/366] learning_rate: 0.059171 loss_vfl: 0.862452 loss_bbox: 0.293164 loss_dfl: 0.184702 loss: 1.337066 eta: 21:26:31 batch_cost: 2.8696 data_cost: 0.0017 ips: 27.8783 images/s [10/16 07:31:54] ppdet.engine INFO: Epoch: [224] [240/366] learning_rate: 0.059089 loss_vfl: 0.844918 loss_bbox: 0.300734 loss_dfl: 0.183647 loss: 1.318412 eta: 21:25:35 batch_cost: 2.7621 data_cost: 0.0018 ips: 28.9630 images/s [10/16 07:32:51] ppdet.engine INFO: Epoch: [224] [260/366] learning_rate: 0.059008 loss_vfl: 0.860210 loss_bbox: 0.308108 loss_dfl: 0.197778 loss: 1.362776 eta: 21:24:38 batch_cost: 2.6779 data_cost: 0.0023 ips: 29.8736 images/s [10/16 07:33:48] ppdet.engine INFO: Epoch: [224] [280/366] learning_rate: 0.058927 loss_vfl: 0.848834 loss_bbox: 0.291342 loss_dfl: 0.185661 loss: 1.327941 eta: 21:23:42 batch_cost: 2.7358 data_cost: 0.0018 ips: 29.2421 images/s [10/16 07:34:46] ppdet.engine INFO: Epoch: [224] [300/366] learning_rate: 0.058846 loss_vfl: 0.837171 loss_bbox: 0.300308 loss_dfl: 0.191309 loss: 1.328592 eta: 21:22:45 batch_cost: 2.7444 data_cost: 0.0017 ips: 29.1502 images/s [10/16 07:35:44] ppdet.engine INFO: Epoch: [224] [320/366] learning_rate: 0.058765 loss_vfl: 0.844934 loss_bbox: 0.298370 loss_dfl: 0.186905 loss: 1.333358 eta: 21:21:49 batch_cost: 2.7395 data_cost: 0.0016 ips: 29.2019 images/s [10/16 07:36:43] ppdet.engine INFO: Epoch: [224] [340/366] learning_rate: 0.058684 loss_vfl: 0.849223 loss_bbox: 0.305187 loss_dfl: 0.188651 loss: 1.349722 eta: 21:20:53 batch_cost: 2.7974 data_cost: 0.0017 ips: 28.5975 images/s [10/16 07:37:38] ppdet.engine INFO: Epoch: [224] [360/366] learning_rate: 0.058603 loss_vfl: 0.854485 loss_bbox: 0.303087 loss_dfl: 0.189599 loss: 1.337621 eta: 21:19:56 batch_cost: 2.5838 data_cost: 0.0016 ips: 30.9619 images/s [10/16 07:38:17] ppdet.engine INFO: Epoch: [225] [ 0/366] learning_rate: 0.058579 loss_vfl: 0.855283 loss_bbox: 0.301290 loss_dfl: 0.188547 loss: 1.341868 eta: 21:19:45 batch_cost: 3.4500 data_cost: 0.5830 ips: 23.1887 images/s [10/16 07:39:17] ppdet.engine INFO: Epoch: [225] [ 20/366] learning_rate: 0.058498 loss_vfl: 0.839690 loss_bbox: 0.300559 loss_dfl: 0.195249 loss: 1.345094 eta: 21:18:49 batch_cost: 2.8604 data_cost: 0.0018 ips: 27.9677 images/s [10/16 07:40:16] ppdet.engine INFO: Epoch: [225] [ 40/366] learning_rate: 0.058417 loss_vfl: 0.842598 loss_bbox: 0.315754 loss_dfl: 0.196754 loss: 1.346287 eta: 21:17:53 batch_cost: 2.7884 data_cost: 0.0018 ips: 28.6902 images/s [10/16 07:41:16] ppdet.engine INFO: Epoch: [225] [ 60/366] learning_rate: 0.058336 loss_vfl: 0.858709 loss_bbox: 0.297485 loss_dfl: 0.181736 loss: 1.326628 eta: 21:16:58 batch_cost: 2.8751 data_cost: 0.0017 ips: 27.8251 images/s [10/16 07:42:13] ppdet.engine INFO: Epoch: [225] [ 80/366] learning_rate: 0.058255 loss_vfl: 0.846179 loss_bbox: 0.295574 loss_dfl: 0.187311 loss: 1.340930 eta: 21:16:01 batch_cost: 2.7043 data_cost: 0.0017 ips: 29.5828 images/s [10/16 07:43:11] ppdet.engine INFO: Epoch: [225] [100/366] learning_rate: 0.058175 loss_vfl: 0.833528 loss_bbox: 0.303614 loss_dfl: 0.191724 loss: 1.342824 eta: 21:15:05 batch_cost: 2.7279 data_cost: 0.0016 ips: 29.3267 images/s [10/16 07:44:10] ppdet.engine INFO: Epoch: [225] [120/366] learning_rate: 0.058094 loss_vfl: 0.855359 loss_bbox: 0.310579 loss_dfl: 0.192180 loss: 1.342077 eta: 21:14:09 batch_cost: 2.8201 data_cost: 0.0016 ips: 28.3683 images/s [10/16 07:45:10] ppdet.engine INFO: Epoch: [225] [140/366] learning_rate: 0.058013 loss_vfl: 0.831237 loss_bbox: 0.301212 loss_dfl: 0.197269 loss: 1.342820 eta: 21:13:13 batch_cost: 2.8373 data_cost: 0.0017 ips: 28.1958 images/s [10/16 07:46:07] ppdet.engine INFO: Epoch: [225] [160/366] learning_rate: 0.057933 loss_vfl: 0.843317 loss_bbox: 0.304191 loss_dfl: 0.192341 loss: 1.336227 eta: 21:12:17 batch_cost: 2.7276 data_cost: 0.0025 ips: 29.3294 images/s [10/16 07:47:04] ppdet.engine INFO: Epoch: [225] [180/366] learning_rate: 0.057852 loss_vfl: 0.844056 loss_bbox: 0.311236 loss_dfl: 0.194337 loss: 1.352779 eta: 21:11:20 batch_cost: 2.6838 data_cost: 0.0017 ips: 29.8086 images/s [10/16 07:48:02] ppdet.engine INFO: Epoch: [225] [200/366] learning_rate: 0.057772 loss_vfl: 0.838831 loss_bbox: 0.308111 loss_dfl: 0.194510 loss: 1.345223 eta: 21:10:24 batch_cost: 2.7582 data_cost: 0.0017 ips: 29.0046 images/s [10/16 07:49:02] ppdet.engine INFO: Epoch: [225] [220/366] learning_rate: 0.057691 loss_vfl: 0.851781 loss_bbox: 0.286164 loss_dfl: 0.184410 loss: 1.328125 eta: 21:09:28 batch_cost: 2.8324 data_cost: 0.0016 ips: 28.2449 images/s [10/16 07:50:01] ppdet.engine INFO: Epoch: [225] [240/366] learning_rate: 0.057611 loss_vfl: 0.840976 loss_bbox: 0.307227 loss_dfl: 0.192367 loss: 1.347787 eta: 21:08:32 batch_cost: 2.8058 data_cost: 0.0017 ips: 28.5120 images/s [10/16 07:50:59] ppdet.engine INFO: Epoch: [225] [260/366] learning_rate: 0.057531 loss_vfl: 0.844054 loss_bbox: 0.299188 loss_dfl: 0.186756 loss: 1.340117 eta: 21:07:36 batch_cost: 2.7913 data_cost: 0.0017 ips: 28.6603 images/s [10/16 07:51:57] ppdet.engine INFO: Epoch: [225] [280/366] learning_rate: 0.057450 loss_vfl: 0.858662 loss_bbox: 0.308767 loss_dfl: 0.194218 loss: 1.359383 eta: 21:06:40 batch_cost: 2.7446 data_cost: 0.0017 ips: 29.1486 images/s [10/16 07:52:56] ppdet.engine INFO: Epoch: [225] [300/366] learning_rate: 0.057370 loss_vfl: 0.853186 loss_bbox: 0.298256 loss_dfl: 0.187283 loss: 1.335532 eta: 21:05:44 batch_cost: 2.7527 data_cost: 0.0017 ips: 29.0625 images/s [10/16 07:53:53] ppdet.engine INFO: Epoch: [225] [320/366] learning_rate: 0.057290 loss_vfl: 0.862909 loss_bbox: 0.294759 loss_dfl: 0.190100 loss: 1.345909 eta: 21:04:47 batch_cost: 2.7371 data_cost: 0.0016 ips: 29.2280 images/s [10/16 07:54:51] ppdet.engine INFO: Epoch: [225] [340/366] learning_rate: 0.057210 loss_vfl: 0.857736 loss_bbox: 0.287912 loss_dfl: 0.186708 loss: 1.336915 eta: 21:03:51 batch_cost: 2.7147 data_cost: 0.0017 ips: 29.4693 images/s [10/16 07:55:44] ppdet.engine INFO: Epoch: [225] [360/366] learning_rate: 0.057129 loss_vfl: 0.842006 loss_bbox: 0.302972 loss_dfl: 0.190994 loss: 1.334984 eta: 21:02:53 batch_cost: 2.5121 data_cost: 0.0016 ips: 31.8458 images/s [10/16 07:56:22] ppdet.engine INFO: Epoch: [226] [ 0/366] learning_rate: 0.057105 loss_vfl: 0.848490 loss_bbox: 0.303359 loss_dfl: 0.191353 loss: 1.338412 eta: 21:02:42 batch_cost: 3.3385 data_cost: 0.4030 ips: 23.9626 images/s [10/16 07:57:22] ppdet.engine INFO: Epoch: [226] [ 20/366] learning_rate: 0.057025 loss_vfl: 0.852099 loss_bbox: 0.302448 loss_dfl: 0.187183 loss: 1.343295 eta: 21:01:46 batch_cost: 2.8703 data_cost: 0.0019 ips: 27.8714 images/s [10/16 07:58:21] ppdet.engine INFO: Epoch: [226] [ 40/366] learning_rate: 0.056945 loss_vfl: 0.842597 loss_bbox: 0.303551 loss_dfl: 0.190651 loss: 1.321602 eta: 21:00:50 batch_cost: 2.7655 data_cost: 0.0019 ips: 28.9274 images/s [10/16 07:59:18] ppdet.engine INFO: Epoch: [226] [ 60/366] learning_rate: 0.056865 loss_vfl: 0.850108 loss_bbox: 0.297309 loss_dfl: 0.194019 loss: 1.346632 eta: 20:59:54 batch_cost: 2.7246 data_cost: 0.0018 ips: 29.3617 images/s [10/16 08:00:17] ppdet.engine INFO: Epoch: [226] [ 80/366] learning_rate: 0.056786 loss_vfl: 0.842319 loss_bbox: 0.306119 loss_dfl: 0.194752 loss: 1.355518 eta: 20:58:58 batch_cost: 2.7851 data_cost: 0.0016 ips: 28.7243 images/s [10/16 08:01:16] ppdet.engine INFO: Epoch: [226] [100/366] learning_rate: 0.056706 loss_vfl: 0.840356 loss_bbox: 0.301768 loss_dfl: 0.188921 loss: 1.337806 eta: 20:58:02 batch_cost: 2.8127 data_cost: 0.0018 ips: 28.4423 images/s [10/16 08:02:15] ppdet.engine INFO: Epoch: [226] [120/366] learning_rate: 0.056626 loss_vfl: 0.852425 loss_bbox: 0.287862 loss_dfl: 0.183574 loss: 1.316242 eta: 20:57:06 batch_cost: 2.7777 data_cost: 0.0017 ips: 28.8010 images/s [10/16 08:03:12] ppdet.engine INFO: Epoch: [226] [140/366] learning_rate: 0.056546 loss_vfl: 0.845181 loss_bbox: 0.306246 loss_dfl: 0.195043 loss: 1.347828 eta: 20:56:09 batch_cost: 2.7125 data_cost: 0.0017 ips: 29.4930 images/s [10/16 08:04:10] ppdet.engine INFO: Epoch: [226] [160/366] learning_rate: 0.056466 loss_vfl: 0.841551 loss_bbox: 0.293089 loss_dfl: 0.185813 loss: 1.325335 eta: 20:55:13 batch_cost: 2.7466 data_cost: 0.0017 ips: 29.1266 images/s [10/16 08:05:07] ppdet.engine INFO: Epoch: [226] [180/366] learning_rate: 0.056387 loss_vfl: 0.852294 loss_bbox: 0.291802 loss_dfl: 0.190865 loss: 1.336017 eta: 20:54:17 batch_cost: 2.7342 data_cost: 0.0016 ips: 29.2595 images/s [10/16 08:06:05] ppdet.engine INFO: Epoch: [226] [200/366] learning_rate: 0.056307 loss_vfl: 0.849792 loss_bbox: 0.308437 loss_dfl: 0.189927 loss: 1.336396 eta: 20:53:21 batch_cost: 2.7445 data_cost: 0.0024 ips: 29.1493 images/s [10/16 08:07:03] ppdet.engine INFO: Epoch: [226] [220/366] learning_rate: 0.056227 loss_vfl: 0.847006 loss_bbox: 0.308178 loss_dfl: 0.186509 loss: 1.331722 eta: 20:52:24 batch_cost: 2.7382 data_cost: 0.0016 ips: 29.2158 images/s [10/16 08:08:00] ppdet.engine INFO: Epoch: [226] [240/366] learning_rate: 0.056148 loss_vfl: 0.863407 loss_bbox: 0.299975 loss_dfl: 0.185341 loss: 1.345165 eta: 20:51:28 batch_cost: 2.7157 data_cost: 0.0017 ips: 29.4585 images/s [10/16 08:08:58] ppdet.engine INFO: Epoch: [226] [260/366] learning_rate: 0.056068 loss_vfl: 0.839604 loss_bbox: 0.280877 loss_dfl: 0.185954 loss: 1.298421 eta: 20:50:31 batch_cost: 2.7310 data_cost: 0.0016 ips: 29.2928 images/s [10/16 08:09:56] ppdet.engine INFO: Epoch: [226] [280/366] learning_rate: 0.055989 loss_vfl: 0.845331 loss_bbox: 0.299229 loss_dfl: 0.191088 loss: 1.323563 eta: 20:49:35 batch_cost: 2.7551 data_cost: 0.0017 ips: 29.0371 images/s [10/16 08:10:55] ppdet.engine INFO: Epoch: [226] [300/366] learning_rate: 0.055910 loss_vfl: 0.862136 loss_bbox: 0.294803 loss_dfl: 0.185462 loss: 1.336353 eta: 20:48:39 batch_cost: 2.8123 data_cost: 0.0017 ips: 28.4462 images/s [10/16 08:11:52] ppdet.engine INFO: Epoch: [226] [320/366] learning_rate: 0.055830 loss_vfl: 0.849619 loss_bbox: 0.295114 loss_dfl: 0.192196 loss: 1.341528 eta: 20:47:43 batch_cost: 2.7146 data_cost: 0.0016 ips: 29.4701 images/s [10/16 08:12:49] ppdet.engine INFO: Epoch: [226] [340/366] learning_rate: 0.055751 loss_vfl: 0.842582 loss_bbox: 0.293436 loss_dfl: 0.184510 loss: 1.330182 eta: 20:46:46 batch_cost: 2.6823 data_cost: 0.0029 ips: 29.8247 images/s [10/16 08:13:42] ppdet.engine INFO: Epoch: [226] [360/366] learning_rate: 0.055672 loss_vfl: 0.852241 loss_bbox: 0.286406 loss_dfl: 0.178232 loss: 1.333877 eta: 20:45:48 batch_cost: 2.5290 data_cost: 0.0016 ips: 31.6332 images/s [10/16 08:14:19] ppdet.engine INFO: Epoch: [227] [ 0/366] learning_rate: 0.055648 loss_vfl: 0.864268 loss_bbox: 0.290515 loss_dfl: 0.178091 loss: 1.326423 eta: 20:45:37 batch_cost: 3.3755 data_cost: 0.4591 ips: 23.7001 images/s [10/16 08:15:19] ppdet.engine INFO: Epoch: [227] [ 20/366] learning_rate: 0.055569 loss_vfl: 0.853147 loss_bbox: 0.300457 loss_dfl: 0.195286 loss: 1.353219 eta: 20:44:41 batch_cost: 2.8044 data_cost: 0.0017 ips: 28.5271 images/s [10/16 08:16:17] ppdet.engine INFO: Epoch: [227] [ 40/366] learning_rate: 0.055490 loss_vfl: 0.831879 loss_bbox: 0.307673 loss_dfl: 0.192350 loss: 1.346522 eta: 20:43:45 batch_cost: 2.7401 data_cost: 0.0017 ips: 29.1964 images/s [10/16 08:17:14] ppdet.engine INFO: Epoch: [227] [ 60/366] learning_rate: 0.055411 loss_vfl: 0.846690 loss_bbox: 0.299470 loss_dfl: 0.189569 loss: 1.324201 eta: 20:42:48 batch_cost: 2.7267 data_cost: 0.0025 ips: 29.3399 images/s [10/16 08:18:11] ppdet.engine INFO: Epoch: [227] [ 80/366] learning_rate: 0.055331 loss_vfl: 0.852836 loss_bbox: 0.305518 loss_dfl: 0.192391 loss: 1.358294 eta: 20:41:51 batch_cost: 2.6671 data_cost: 0.0022 ips: 29.9946 images/s [10/16 08:19:08] ppdet.engine INFO: Epoch: [227] [100/366] learning_rate: 0.055252 loss_vfl: 0.832644 loss_bbox: 0.296166 loss_dfl: 0.184645 loss: 1.344409 eta: 20:40:55 batch_cost: 2.7286 data_cost: 0.0016 ips: 29.3191 images/s [10/16 08:20:06] ppdet.engine INFO: Epoch: [227] [120/366] learning_rate: 0.055174 loss_vfl: 0.845382 loss_bbox: 0.306296 loss_dfl: 0.189130 loss: 1.335401 eta: 20:39:59 batch_cost: 2.7271 data_cost: 0.0016 ips: 29.3352 images/s [10/16 08:21:05] ppdet.engine INFO: Epoch: [227] [140/366] learning_rate: 0.055095 loss_vfl: 0.848517 loss_bbox: 0.295520 loss_dfl: 0.188235 loss: 1.348941 eta: 20:39:03 batch_cost: 2.8030 data_cost: 0.0023 ips: 28.5405 images/s [10/16 08:22:04] ppdet.engine INFO: Epoch: [227] [160/366] learning_rate: 0.055016 loss_vfl: 0.842468 loss_bbox: 0.283810 loss_dfl: 0.180951 loss: 1.310468 eta: 20:38:07 batch_cost: 2.7852 data_cost: 0.0017 ips: 28.7231 images/s [10/16 08:23:01] ppdet.engine INFO: Epoch: [227] [180/366] learning_rate: 0.054937 loss_vfl: 0.849693 loss_bbox: 0.291848 loss_dfl: 0.184220 loss: 1.318083 eta: 20:37:10 batch_cost: 2.6882 data_cost: 0.0017 ips: 29.7594 images/s [10/16 08:23:58] ppdet.engine INFO: Epoch: [227] [200/366] learning_rate: 0.054858 loss_vfl: 0.842622 loss_bbox: 0.306846 loss_dfl: 0.191857 loss: 1.342908 eta: 20:36:14 batch_cost: 2.7190 data_cost: 0.0016 ips: 29.4222 images/s [10/16 08:24:55] ppdet.engine INFO: Epoch: [227] [220/366] learning_rate: 0.054779 loss_vfl: 0.852591 loss_bbox: 0.306168 loss_dfl: 0.194680 loss: 1.357407 eta: 20:35:17 batch_cost: 2.7144 data_cost: 0.0017 ips: 29.4725 images/s [10/16 08:25:53] ppdet.engine INFO: Epoch: [227] [240/366] learning_rate: 0.054701 loss_vfl: 0.846319 loss_bbox: 0.296842 loss_dfl: 0.186405 loss: 1.335144 eta: 20:34:21 batch_cost: 2.7655 data_cost: 0.0016 ips: 28.9282 images/s [10/16 08:26:50] ppdet.engine INFO: Epoch: [227] [260/366] learning_rate: 0.054622 loss_vfl: 0.850102 loss_bbox: 0.311381 loss_dfl: 0.192863 loss: 1.359153 eta: 20:33:24 batch_cost: 2.6851 data_cost: 0.0016 ips: 29.7937 images/s [10/16 08:27:47] ppdet.engine INFO: Epoch: [227] [280/366] learning_rate: 0.054544 loss_vfl: 0.854855 loss_bbox: 0.293076 loss_dfl: 0.183430 loss: 1.339495 eta: 20:32:28 batch_cost: 2.6868 data_cost: 0.0018 ips: 29.7753 images/s [10/16 08:28:45] ppdet.engine INFO: Epoch: [227] [300/366] learning_rate: 0.054465 loss_vfl: 0.844531 loss_bbox: 0.299047 loss_dfl: 0.185312 loss: 1.331709 eta: 20:31:31 batch_cost: 2.7278 data_cost: 0.0016 ips: 29.3274 images/s [10/16 08:29:41] ppdet.engine INFO: Epoch: [227] [320/366] learning_rate: 0.054387 loss_vfl: 0.846408 loss_bbox: 0.307509 loss_dfl: 0.190456 loss: 1.356800 eta: 20:30:35 batch_cost: 2.6666 data_cost: 0.0017 ips: 30.0002 images/s [10/16 08:30:39] ppdet.engine INFO: Epoch: [227] [340/366] learning_rate: 0.054308 loss_vfl: 0.850408 loss_bbox: 0.293517 loss_dfl: 0.185494 loss: 1.347935 eta: 20:29:38 batch_cost: 2.7523 data_cost: 0.0016 ips: 29.0669 images/s [10/16 08:31:31] ppdet.engine INFO: Epoch: [227] [360/366] learning_rate: 0.054230 loss_vfl: 0.836908 loss_bbox: 0.292222 loss_dfl: 0.189417 loss: 1.322034 eta: 20:28:40 batch_cost: 2.4514 data_cost: 0.0017 ips: 32.6343 images/s [10/16 08:32:11] ppdet.engine INFO: Epoch: [228] [ 0/366] learning_rate: 0.054206 loss_vfl: 0.841963 loss_bbox: 0.286613 loss_dfl: 0.181137 loss: 1.313830 eta: 20:28:29 batch_cost: 3.4148 data_cost: 0.4044 ips: 23.4272 images/s [10/16 08:33:10] ppdet.engine INFO: Epoch: [228] [ 20/366] learning_rate: 0.054128 loss_vfl: 0.842470 loss_bbox: 0.318055 loss_dfl: 0.194290 loss: 1.358234 eta: 20:27:33 batch_cost: 2.8060 data_cost: 0.0017 ips: 28.5103 images/s [10/16 08:34:08] ppdet.engine INFO: Epoch: [228] [ 40/366] learning_rate: 0.054050 loss_vfl: 0.849164 loss_bbox: 0.277162 loss_dfl: 0.178875 loss: 1.311269 eta: 20:26:37 batch_cost: 2.7249 data_cost: 0.0016 ips: 29.3591 images/s [10/16 08:35:06] ppdet.engine INFO: Epoch: [228] [ 60/366] learning_rate: 0.053971 loss_vfl: 0.838106 loss_bbox: 0.312382 loss_dfl: 0.194041 loss: 1.343526 eta: 20:25:41 batch_cost: 2.7947 data_cost: 0.0016 ips: 28.6259 images/s [10/16 08:36:05] ppdet.engine INFO: Epoch: [228] [ 80/366] learning_rate: 0.053893 loss_vfl: 0.832943 loss_bbox: 0.291339 loss_dfl: 0.191291 loss: 1.330652 eta: 20:24:45 batch_cost: 2.7749 data_cost: 0.0016 ips: 28.8302 images/s [10/16 08:37:04] ppdet.engine INFO: Epoch: [228] [100/366] learning_rate: 0.053815 loss_vfl: 0.842755 loss_bbox: 0.298022 loss_dfl: 0.186728 loss: 1.353101 eta: 20:23:49 batch_cost: 2.8244 data_cost: 0.0016 ips: 28.3250 images/s [10/16 08:38:03] ppdet.engine INFO: Epoch: [228] [120/366] learning_rate: 0.053737 loss_vfl: 0.849779 loss_bbox: 0.283870 loss_dfl: 0.180921 loss: 1.304135 eta: 20:22:53 batch_cost: 2.7925 data_cost: 0.0016 ips: 28.6479 images/s [10/16 08:39:02] ppdet.engine INFO: Epoch: [228] [140/366] learning_rate: 0.053659 loss_vfl: 0.844429 loss_bbox: 0.300276 loss_dfl: 0.191953 loss: 1.326540 eta: 20:21:57 batch_cost: 2.7851 data_cost: 0.0017 ips: 28.7240 images/s [10/16 08:39:59] ppdet.engine INFO: Epoch: [228] [160/366] learning_rate: 0.053581 loss_vfl: 0.841636 loss_bbox: 0.308880 loss_dfl: 0.189742 loss: 1.339165 eta: 20:21:01 batch_cost: 2.7291 data_cost: 0.0016 ips: 29.3133 images/s [10/16 08:40:58] ppdet.engine INFO: Epoch: [228] [180/366] learning_rate: 0.053503 loss_vfl: 0.864682 loss_bbox: 0.289991 loss_dfl: 0.189930 loss: 1.329862 eta: 20:20:05 batch_cost: 2.7826 data_cost: 0.0017 ips: 28.7505 images/s [10/16 08:41:56] ppdet.engine INFO: Epoch: [228] [200/366] learning_rate: 0.053425 loss_vfl: 0.825805 loss_bbox: 0.302552 loss_dfl: 0.193489 loss: 1.317390 eta: 20:19:09 batch_cost: 2.7637 data_cost: 0.0017 ips: 28.9467 images/s [10/16 08:42:54] ppdet.engine INFO: Epoch: [228] [220/366] learning_rate: 0.053347 loss_vfl: 0.840675 loss_bbox: 0.302254 loss_dfl: 0.193347 loss: 1.348515 eta: 20:18:12 batch_cost: 2.7383 data_cost: 0.0016 ips: 29.2152 images/s [10/16 08:43:51] ppdet.engine INFO: Epoch: [228] [240/366] learning_rate: 0.053270 loss_vfl: 0.840560 loss_bbox: 0.307869 loss_dfl: 0.195754 loss: 1.347676 eta: 20:17:16 batch_cost: 2.7220 data_cost: 0.0016 ips: 29.3902 images/s [10/16 08:44:49] ppdet.engine INFO: Epoch: [228] [260/366] learning_rate: 0.053192 loss_vfl: 0.841900 loss_bbox: 0.305891 loss_dfl: 0.189836 loss: 1.333075 eta: 20:16:20 batch_cost: 2.7338 data_cost: 0.0017 ips: 29.2638 images/s [10/16 08:45:47] ppdet.engine INFO: Epoch: [228] [280/366] learning_rate: 0.053114 loss_vfl: 0.834845 loss_bbox: 0.309831 loss_dfl: 0.191916 loss: 1.329712 eta: 20:15:23 batch_cost: 2.7708 data_cost: 0.0016 ips: 28.8724 images/s [10/16 08:46:44] ppdet.engine INFO: Epoch: [228] [300/366] learning_rate: 0.053036 loss_vfl: 0.832952 loss_bbox: 0.287737 loss_dfl: 0.184422 loss: 1.299704 eta: 20:14:27 batch_cost: 2.6779 data_cost: 0.0016 ips: 29.8737 images/s [10/16 08:47:43] ppdet.engine INFO: Epoch: [228] [320/366] learning_rate: 0.052959 loss_vfl: 0.846649 loss_bbox: 0.300312 loss_dfl: 0.181816 loss: 1.325128 eta: 20:13:31 batch_cost: 2.8098 data_cost: 0.0016 ips: 28.4713 images/s [10/16 08:48:40] ppdet.engine INFO: Epoch: [228] [340/366] learning_rate: 0.052881 loss_vfl: 0.853289 loss_bbox: 0.310081 loss_dfl: 0.197445 loss: 1.361981 eta: 20:12:34 batch_cost: 2.7151 data_cost: 0.0016 ips: 29.4646 images/s [10/16 08:49:33] ppdet.engine INFO: Epoch: [228] [360/366] learning_rate: 0.052804 loss_vfl: 0.849458 loss_bbox: 0.284826 loss_dfl: 0.184139 loss: 1.322265 eta: 20:11:37 batch_cost: 2.5096 data_cost: 0.0016 ips: 31.8772 images/s [10/16 08:50:14] ppdet.engine INFO: Epoch: [229] [ 0/366] learning_rate: 0.052781 loss_vfl: 0.858829 loss_bbox: 0.284826 loss_dfl: 0.184136 loss: 1.328266 eta: 20:11:26 batch_cost: 3.4593 data_cost: 0.4518 ips: 23.1258 images/s [10/16 08:51:14] ppdet.engine INFO: Epoch: [229] [ 20/366] learning_rate: 0.052703 loss_vfl: 0.838670 loss_bbox: 0.295604 loss_dfl: 0.189299 loss: 1.321147 eta: 20:10:30 batch_cost: 2.8627 data_cost: 0.0037 ips: 27.9456 images/s [10/16 08:52:12] ppdet.engine INFO: Epoch: [229] [ 40/366] learning_rate: 0.052626 loss_vfl: 0.840782 loss_bbox: 0.305353 loss_dfl: 0.195408 loss: 1.338513 eta: 20:09:34 batch_cost: 2.7642 data_cost: 0.0021 ips: 28.9419 images/s [10/16 08:53:12] ppdet.engine INFO: Epoch: [229] [ 60/366] learning_rate: 0.052548 loss_vfl: 0.850424 loss_bbox: 0.289620 loss_dfl: 0.188429 loss: 1.334939 eta: 20:08:38 batch_cost: 2.8388 data_cost: 0.0023 ips: 28.1808 images/s [10/16 08:54:09] ppdet.engine INFO: Epoch: [229] [ 80/366] learning_rate: 0.052471 loss_vfl: 0.825638 loss_bbox: 0.284157 loss_dfl: 0.187687 loss: 1.304082 eta: 20:07:42 batch_cost: 2.7246 data_cost: 0.0073 ips: 29.3626 images/s [10/16 08:55:06] ppdet.engine INFO: Epoch: [229] [100/366] learning_rate: 0.052394 loss_vfl: 0.833449 loss_bbox: 0.286349 loss_dfl: 0.183331 loss: 1.304277 eta: 20:06:45 batch_cost: 2.7013 data_cost: 0.0072 ips: 29.6151 images/s [10/16 08:56:05] ppdet.engine INFO: Epoch: [229] [120/366] learning_rate: 0.052317 loss_vfl: 0.844307 loss_bbox: 0.296689 loss_dfl: 0.192556 loss: 1.324408 eta: 20:05:49 batch_cost: 2.7771 data_cost: 0.0019 ips: 28.8072 images/s [10/16 08:57:03] ppdet.engine INFO: Epoch: [229] [140/366] learning_rate: 0.052239 loss_vfl: 0.847228 loss_bbox: 0.300620 loss_dfl: 0.191695 loss: 1.334649 eta: 20:04:53 batch_cost: 2.7524 data_cost: 0.0018 ips: 29.0659 images/s [10/16 08:58:01] ppdet.engine INFO: Epoch: [229] [160/366] learning_rate: 0.052162 loss_vfl: 0.837672 loss_bbox: 0.303220 loss_dfl: 0.184341 loss: 1.332778 eta: 20:03:57 batch_cost: 2.7733 data_cost: 0.0029 ips: 28.8466 images/s [10/16 08:58:58] ppdet.engine INFO: Epoch: [229] [180/366] learning_rate: 0.052085 loss_vfl: 0.856989 loss_bbox: 0.302990 loss_dfl: 0.191952 loss: 1.347367 eta: 20:03:00 batch_cost: 2.6751 data_cost: 0.0016 ips: 29.9051 images/s [10/16 08:59:55] ppdet.engine INFO: Epoch: [229] [200/366] learning_rate: 0.052008 loss_vfl: 0.839424 loss_bbox: 0.314148 loss_dfl: 0.194940 loss: 1.356525 eta: 20:02:04 batch_cost: 2.6917 data_cost: 0.0017 ips: 29.7207 images/s [10/16 09:00:55] ppdet.engine INFO: Epoch: [229] [220/366] learning_rate: 0.051931 loss_vfl: 0.855635 loss_bbox: 0.301940 loss_dfl: 0.188742 loss: 1.334978 eta: 20:01:08 batch_cost: 2.8474 data_cost: 0.0025 ips: 28.0962 images/s [10/16 09:01:53] ppdet.engine INFO: Epoch: [229] [240/366] learning_rate: 0.051854 loss_vfl: 0.841552 loss_bbox: 0.307961 loss_dfl: 0.191852 loss: 1.343491 eta: 20:00:12 batch_cost: 2.7538 data_cost: 0.0026 ips: 29.0507 images/s [10/16 09:02:50] ppdet.engine INFO: Epoch: [229] [260/366] learning_rate: 0.051778 loss_vfl: 0.839932 loss_bbox: 0.301480 loss_dfl: 0.193658 loss: 1.321502 eta: 19:59:15 batch_cost: 2.7050 data_cost: 0.0017 ips: 29.5745 images/s [10/16 09:03:47] ppdet.engine INFO: Epoch: [229] [280/366] learning_rate: 0.051701 loss_vfl: 0.844016 loss_bbox: 0.302200 loss_dfl: 0.195080 loss: 1.350765 eta: 19:58:19 batch_cost: 2.7019 data_cost: 0.0016 ips: 29.6088 images/s [10/16 09:04:45] ppdet.engine INFO: Epoch: [229] [300/366] learning_rate: 0.051624 loss_vfl: 0.861161 loss_bbox: 0.318314 loss_dfl: 0.198706 loss: 1.367731 eta: 19:57:23 batch_cost: 2.7315 data_cost: 0.0018 ips: 29.2877 images/s [10/16 09:05:43] ppdet.engine INFO: Epoch: [229] [320/366] learning_rate: 0.051547 loss_vfl: 0.864061 loss_bbox: 0.288287 loss_dfl: 0.186887 loss: 1.337060 eta: 19:56:26 batch_cost: 2.7678 data_cost: 0.0016 ips: 28.9040 images/s [10/16 09:06:41] ppdet.engine INFO: Epoch: [229] [340/366] learning_rate: 0.051471 loss_vfl: 0.843599 loss_bbox: 0.308776 loss_dfl: 0.193523 loss: 1.336397 eta: 19:55:30 batch_cost: 2.7659 data_cost: 0.0018 ips: 28.9234 images/s [10/16 09:07:36] ppdet.engine INFO: Epoch: [229] [360/366] learning_rate: 0.051394 loss_vfl: 0.858366 loss_bbox: 0.307815 loss_dfl: 0.188698 loss: 1.359485 eta: 19:54:33 batch_cost: 2.5681 data_cost: 0.0022 ips: 31.1508 images/s [10/16 09:07:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 09:07:52] ppdet.engine INFO: Eval iter: 0 [10/16 09:08:30] ppdet.engine INFO: Eval iter: 100 [10/16 09:08:53] ppdet.engine INFO: Eval iter: 200 [10/16 09:09:15] ppdet.engine INFO: Eval iter: 300 [10/16 09:09:37] ppdet.engine INFO: Eval iter: 400 [10/16 09:10:00] ppdet.engine INFO: Eval iter: 500 [10/16 09:10:23] ppdet.engine INFO: Eval iter: 600 [10/16 09:10:44] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/16 09:10:46] 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=98.42s). Accumulating evaluation results... DONE (t=18.81s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.302 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.451 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.316 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.109 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.491 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 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.196 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/16 09:12:50] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.41957903443479 [10/16 09:12:50] ppdet.engine INFO: Best test bbox ap is 0.302. [10/16 09:12:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 09:12:52] ppdet.engine INFO: Epoch: [230] [ 0/366] learning_rate: 0.051371 loss_vfl: 0.859051 loss_bbox: 0.307815 loss_dfl: 0.192218 loss: 1.363744 eta: 19:54:15 batch_cost: 2.4065 data_cost: 0.0023 ips: 33.2439 images/s [10/16 09:13:54] ppdet.engine INFO: Epoch: [230] [ 20/366] learning_rate: 0.051294 loss_vfl: 0.846515 loss_bbox: 0.296173 loss_dfl: 0.189560 loss: 1.330189 eta: 19:53:20 batch_cost: 2.9455 data_cost: 0.0025 ips: 27.1604 images/s [10/16 09:14:54] ppdet.engine INFO: Epoch: [230] [ 40/366] learning_rate: 0.051218 loss_vfl: 0.857279 loss_bbox: 0.304844 loss_dfl: 0.188849 loss: 1.360522 eta: 19:52:25 batch_cost: 2.8420 data_cost: 0.0017 ips: 28.1491 images/s [10/16 09:15:54] ppdet.engine INFO: Epoch: [230] [ 60/366] learning_rate: 0.051142 loss_vfl: 0.839817 loss_bbox: 0.322566 loss_dfl: 0.199381 loss: 1.355629 eta: 19:51:29 batch_cost: 2.8437 data_cost: 0.0017 ips: 28.1321 images/s [10/16 09:16:52] ppdet.engine INFO: Epoch: [230] [ 80/366] learning_rate: 0.051065 loss_vfl: 0.829147 loss_bbox: 0.309886 loss_dfl: 0.193039 loss: 1.347805 eta: 19:50:33 batch_cost: 2.7473 data_cost: 0.0023 ips: 29.1195 images/s [10/16 09:17:50] ppdet.engine INFO: Epoch: [230] [100/366] learning_rate: 0.050989 loss_vfl: 0.842446 loss_bbox: 0.303177 loss_dfl: 0.184808 loss: 1.332000 eta: 19:49:37 batch_cost: 2.7878 data_cost: 0.0016 ips: 28.6962 images/s [10/16 09:18:50] ppdet.engine INFO: Epoch: [230] [120/366] learning_rate: 0.050912 loss_vfl: 0.849758 loss_bbox: 0.296040 loss_dfl: 0.190740 loss: 1.339080 eta: 19:48:41 batch_cost: 2.8243 data_cost: 0.0016 ips: 28.3259 images/s [10/16 09:19:49] ppdet.engine INFO: Epoch: [230] [140/366] learning_rate: 0.050836 loss_vfl: 0.836559 loss_bbox: 0.284133 loss_dfl: 0.184035 loss: 1.319542 eta: 19:47:45 batch_cost: 2.8204 data_cost: 0.0017 ips: 28.3648 images/s [10/16 09:20:48] ppdet.engine INFO: Epoch: [230] [160/366] learning_rate: 0.050760 loss_vfl: 0.833236 loss_bbox: 0.287014 loss_dfl: 0.180458 loss: 1.333354 eta: 19:46:49 batch_cost: 2.7866 data_cost: 0.0017 ips: 28.7090 images/s [10/16 09:21:46] ppdet.engine INFO: Epoch: [230] [180/366] learning_rate: 0.050684 loss_vfl: 0.845468 loss_bbox: 0.303644 loss_dfl: 0.193153 loss: 1.328779 eta: 19:45:53 batch_cost: 2.7559 data_cost: 0.0016 ips: 29.0282 images/s [10/16 09:22:42] ppdet.engine INFO: Epoch: [230] [200/366] learning_rate: 0.050608 loss_vfl: 0.836969 loss_bbox: 0.307575 loss_dfl: 0.189045 loss: 1.342197 eta: 19:44:56 batch_cost: 2.6712 data_cost: 0.0019 ips: 29.9490 images/s [10/16 09:23:39] ppdet.engine INFO: Epoch: [230] [220/366] learning_rate: 0.050532 loss_vfl: 0.843348 loss_bbox: 0.302139 loss_dfl: 0.192856 loss: 1.324169 eta: 19:44:00 batch_cost: 2.7087 data_cost: 0.0016 ips: 29.5348 images/s [10/16 09:24:36] ppdet.engine INFO: Epoch: [230] [240/366] learning_rate: 0.050456 loss_vfl: 0.830641 loss_bbox: 0.304625 loss_dfl: 0.189530 loss: 1.331855 eta: 19:43:03 batch_cost: 2.6917 data_cost: 0.0016 ips: 29.7215 images/s [10/16 09:25:34] ppdet.engine INFO: Epoch: [230] [260/366] learning_rate: 0.050380 loss_vfl: 0.850293 loss_bbox: 0.293318 loss_dfl: 0.193822 loss: 1.348166 eta: 19:42:07 batch_cost: 2.7335 data_cost: 0.0023 ips: 29.2668 images/s [10/16 09:26:32] ppdet.engine INFO: Epoch: [230] [280/366] learning_rate: 0.050304 loss_vfl: 0.842307 loss_bbox: 0.297001 loss_dfl: 0.194769 loss: 1.349610 eta: 19:41:11 batch_cost: 2.7731 data_cost: 0.0017 ips: 28.8482 images/s [10/16 09:27:31] ppdet.engine INFO: Epoch: [230] [300/366] learning_rate: 0.050228 loss_vfl: 0.841472 loss_bbox: 0.300544 loss_dfl: 0.189844 loss: 1.333348 eta: 19:40:15 batch_cost: 2.8047 data_cost: 0.0017 ips: 28.5233 images/s [10/16 09:28:30] ppdet.engine INFO: Epoch: [230] [320/366] learning_rate: 0.050152 loss_vfl: 0.841832 loss_bbox: 0.300254 loss_dfl: 0.187576 loss: 1.342586 eta: 19:39:19 batch_cost: 2.7833 data_cost: 0.0065 ips: 28.7424 images/s [10/16 09:29:28] ppdet.engine INFO: Epoch: [230] [340/366] learning_rate: 0.050076 loss_vfl: 0.841309 loss_bbox: 0.306283 loss_dfl: 0.190300 loss: 1.333152 eta: 19:38:23 batch_cost: 2.7273 data_cost: 0.0017 ips: 29.3326 images/s [10/16 09:30:20] ppdet.engine INFO: Epoch: [230] [360/366] learning_rate: 0.050000 loss_vfl: 0.842367 loss_bbox: 0.309634 loss_dfl: 0.190572 loss: 1.339834 eta: 19:37:25 batch_cost: 2.4913 data_cost: 0.0016 ips: 32.1116 images/s [10/16 09:31:02] ppdet.engine INFO: Epoch: [231] [ 0/366] learning_rate: 0.049978 loss_vfl: 0.840670 loss_bbox: 0.316653 loss_dfl: 0.195317 loss: 1.350759 eta: 19:37:14 batch_cost: 3.5102 data_cost: 0.7301 ips: 22.7910 images/s [10/16 09:32:00] ppdet.engine INFO: Epoch: [231] [ 20/366] learning_rate: 0.049902 loss_vfl: 0.848191 loss_bbox: 0.309656 loss_dfl: 0.190913 loss: 1.338825 eta: 19:36:18 batch_cost: 2.7542 data_cost: 0.0017 ips: 29.0468 images/s [10/16 09:32:57] ppdet.engine INFO: Epoch: [231] [ 40/366] learning_rate: 0.049827 loss_vfl: 0.841586 loss_bbox: 0.301847 loss_dfl: 0.187139 loss: 1.336750 eta: 19:35:22 batch_cost: 2.7259 data_cost: 0.0016 ips: 29.3477 images/s [10/16 09:33:54] ppdet.engine INFO: Epoch: [231] [ 60/366] learning_rate: 0.049751 loss_vfl: 0.839642 loss_bbox: 0.299297 loss_dfl: 0.186306 loss: 1.314397 eta: 19:34:25 batch_cost: 2.7075 data_cost: 0.0016 ips: 29.5476 images/s [10/16 09:34:52] ppdet.engine INFO: Epoch: [231] [ 80/366] learning_rate: 0.049675 loss_vfl: 0.839262 loss_bbox: 0.316908 loss_dfl: 0.199554 loss: 1.363340 eta: 19:33:29 batch_cost: 2.7154 data_cost: 0.0016 ips: 29.4611 images/s [10/16 09:35:50] ppdet.engine INFO: Epoch: [231] [100/366] learning_rate: 0.049600 loss_vfl: 0.824050 loss_bbox: 0.308055 loss_dfl: 0.191880 loss: 1.330109 eta: 19:32:32 batch_cost: 2.7542 data_cost: 0.0023 ips: 29.0461 images/s [10/16 09:36:49] ppdet.engine INFO: Epoch: [231] [120/366] learning_rate: 0.049525 loss_vfl: 0.850704 loss_bbox: 0.301376 loss_dfl: 0.186407 loss: 1.353774 eta: 19:31:37 batch_cost: 2.8103 data_cost: 0.0017 ips: 28.4671 images/s [10/16 09:37:47] ppdet.engine INFO: Epoch: [231] [140/366] learning_rate: 0.049449 loss_vfl: 0.845789 loss_bbox: 0.296979 loss_dfl: 0.190983 loss: 1.324889 eta: 19:30:40 batch_cost: 2.7542 data_cost: 0.0016 ips: 29.0464 images/s [10/16 09:38:45] ppdet.engine INFO: Epoch: [231] [160/366] learning_rate: 0.049374 loss_vfl: 0.846598 loss_bbox: 0.289452 loss_dfl: 0.196152 loss: 1.321306 eta: 19:29:44 batch_cost: 2.7292 data_cost: 0.0016 ips: 29.3127 images/s [10/16 09:39:42] ppdet.engine INFO: Epoch: [231] [180/366] learning_rate: 0.049299 loss_vfl: 0.839718 loss_bbox: 0.292541 loss_dfl: 0.181630 loss: 1.318837 eta: 19:28:48 batch_cost: 2.7022 data_cost: 0.0017 ips: 29.6053 images/s [10/16 09:40:40] ppdet.engine INFO: Epoch: [231] [200/366] learning_rate: 0.049223 loss_vfl: 0.841769 loss_bbox: 0.303828 loss_dfl: 0.196565 loss: 1.344014 eta: 19:27:52 batch_cost: 2.7814 data_cost: 0.0017 ips: 28.7621 images/s [10/16 09:41:39] ppdet.engine INFO: Epoch: [231] [220/366] learning_rate: 0.049148 loss_vfl: 0.832161 loss_bbox: 0.303091 loss_dfl: 0.189434 loss: 1.326732 eta: 19:26:55 batch_cost: 2.7702 data_cost: 0.0027 ips: 28.8784 images/s [10/16 09:42:39] ppdet.engine INFO: Epoch: [231] [240/366] learning_rate: 0.049073 loss_vfl: 0.839159 loss_bbox: 0.304200 loss_dfl: 0.188042 loss: 1.329179 eta: 19:26:00 batch_cost: 2.8841 data_cost: 0.0017 ips: 27.7380 images/s [10/16 09:43:43] ppdet.engine INFO: Epoch: [231] [260/366] learning_rate: 0.048998 loss_vfl: 0.848431 loss_bbox: 0.291852 loss_dfl: 0.191232 loss: 1.328860 eta: 19:25:05 batch_cost: 2.9048 data_cost: 0.0017 ips: 27.5404 images/s [10/16 09:44:43] ppdet.engine INFO: Epoch: [231] [280/366] learning_rate: 0.048923 loss_vfl: 0.837850 loss_bbox: 0.300677 loss_dfl: 0.193014 loss: 1.333503 eta: 19:24:09 batch_cost: 2.8473 data_cost: 0.0017 ips: 28.0973 images/s [10/16 09:45:46] ppdet.engine INFO: Epoch: [231] [300/366] learning_rate: 0.048848 loss_vfl: 0.839977 loss_bbox: 0.298697 loss_dfl: 0.195104 loss: 1.340437 eta: 19:23:14 batch_cost: 2.8689 data_cost: 0.0034 ips: 27.8852 images/s [10/16 09:46:47] ppdet.engine INFO: Epoch: [231] [320/366] learning_rate: 0.048773 loss_vfl: 0.862734 loss_bbox: 0.295648 loss_dfl: 0.188636 loss: 1.342180 eta: 19:22:18 batch_cost: 2.8754 data_cost: 0.0017 ips: 27.8225 images/s [10/16 09:47:46] ppdet.engine INFO: Epoch: [231] [340/366] learning_rate: 0.048698 loss_vfl: 0.854381 loss_bbox: 0.304501 loss_dfl: 0.194355 loss: 1.344802 eta: 19:21:22 batch_cost: 2.8085 data_cost: 0.0023 ips: 28.4852 images/s [10/16 09:48:41] ppdet.engine INFO: Epoch: [231] [360/366] learning_rate: 0.048623 loss_vfl: 0.840278 loss_bbox: 0.299424 loss_dfl: 0.188471 loss: 1.336124 eta: 19:20:25 batch_cost: 2.5855 data_cost: 0.0016 ips: 30.9413 images/s [10/16 09:49:22] ppdet.engine INFO: Epoch: [232] [ 0/366] learning_rate: 0.048601 loss_vfl: 0.839002 loss_bbox: 0.294937 loss_dfl: 0.188471 loss: 1.335970 eta: 19:20:14 batch_cost: 3.5174 data_cost: 0.2733 ips: 22.7441 images/s [10/16 09:50:26] ppdet.engine INFO: Epoch: [232] [ 20/366] learning_rate: 0.048526 loss_vfl: 0.840713 loss_bbox: 0.300885 loss_dfl: 0.191953 loss: 1.309406 eta: 19:19:20 batch_cost: 3.0558 data_cost: 0.0019 ips: 26.1801 images/s [10/16 09:51:29] ppdet.engine INFO: Epoch: [232] [ 40/366] learning_rate: 0.048452 loss_vfl: 0.854229 loss_bbox: 0.275786 loss_dfl: 0.181605 loss: 1.333017 eta: 19:18:24 batch_cost: 2.8905 data_cost: 0.0024 ips: 27.6765 images/s [10/16 09:52:29] ppdet.engine INFO: Epoch: [232] [ 60/366] learning_rate: 0.048377 loss_vfl: 0.847259 loss_bbox: 0.290295 loss_dfl: 0.186967 loss: 1.337200 eta: 19:17:29 batch_cost: 2.8813 data_cost: 0.0022 ips: 27.7655 images/s [10/16 09:53:29] ppdet.engine INFO: Epoch: [232] [ 80/366] learning_rate: 0.048302 loss_vfl: 0.840610 loss_bbox: 0.303693 loss_dfl: 0.189118 loss: 1.331117 eta: 19:16:33 batch_cost: 2.8135 data_cost: 0.0016 ips: 28.4346 images/s [10/16 09:54:28] ppdet.engine INFO: Epoch: [232] [100/366] learning_rate: 0.048228 loss_vfl: 0.826806 loss_bbox: 0.313519 loss_dfl: 0.193437 loss: 1.332542 eta: 19:15:37 batch_cost: 2.8202 data_cost: 0.0017 ips: 28.3665 images/s [10/16 09:55:27] ppdet.engine INFO: Epoch: [232] [120/366] learning_rate: 0.048153 loss_vfl: 0.830827 loss_bbox: 0.297656 loss_dfl: 0.191408 loss: 1.321909 eta: 19:14:41 batch_cost: 2.8101 data_cost: 0.0017 ips: 28.4691 images/s [10/16 09:56:26] ppdet.engine INFO: Epoch: [232] [140/366] learning_rate: 0.048079 loss_vfl: 0.838147 loss_bbox: 0.297019 loss_dfl: 0.183276 loss: 1.328330 eta: 19:13:45 batch_cost: 2.7699 data_cost: 0.0016 ips: 28.8821 images/s [10/16 09:57:24] ppdet.engine INFO: Epoch: [232] [160/366] learning_rate: 0.048004 loss_vfl: 0.853074 loss_bbox: 0.294161 loss_dfl: 0.183609 loss: 1.324717 eta: 19:12:49 batch_cost: 2.7690 data_cost: 0.0016 ips: 28.8915 images/s [10/16 09:58:23] ppdet.engine INFO: Epoch: [232] [180/366] learning_rate: 0.047930 loss_vfl: 0.843602 loss_bbox: 0.326794 loss_dfl: 0.198667 loss: 1.354569 eta: 19:11:53 batch_cost: 2.7833 data_cost: 0.0024 ips: 28.7430 images/s [10/16 09:59:21] ppdet.engine INFO: Epoch: [232] [200/366] learning_rate: 0.047856 loss_vfl: 0.835810 loss_bbox: 0.300738 loss_dfl: 0.191571 loss: 1.319465 eta: 19:10:57 batch_cost: 2.7810 data_cost: 0.0022 ips: 28.7664 images/s [10/16 10:00:21] ppdet.engine INFO: Epoch: [232] [220/366] learning_rate: 0.047781 loss_vfl: 0.836569 loss_bbox: 0.310411 loss_dfl: 0.192494 loss: 1.327529 eta: 19:10:01 batch_cost: 2.8499 data_cost: 0.0022 ips: 28.0710 images/s [10/16 10:01:21] ppdet.engine INFO: Epoch: [232] [240/366] learning_rate: 0.047707 loss_vfl: 0.848040 loss_bbox: 0.305652 loss_dfl: 0.189878 loss: 1.342864 eta: 19:09:06 batch_cost: 2.8711 data_cost: 0.0019 ips: 27.8637 images/s [10/16 10:02:20] ppdet.engine INFO: Epoch: [232] [260/366] learning_rate: 0.047633 loss_vfl: 0.853019 loss_bbox: 0.301202 loss_dfl: 0.194548 loss: 1.348686 eta: 19:08:10 batch_cost: 2.7800 data_cost: 0.0024 ips: 28.7770 images/s [10/16 10:03:19] ppdet.engine INFO: Epoch: [232] [280/366] learning_rate: 0.047559 loss_vfl: 0.837091 loss_bbox: 0.308008 loss_dfl: 0.193244 loss: 1.332522 eta: 19:07:14 batch_cost: 2.7836 data_cost: 0.0017 ips: 28.7397 images/s [10/16 10:04:16] ppdet.engine INFO: Epoch: [232] [300/366] learning_rate: 0.047485 loss_vfl: 0.846856 loss_bbox: 0.290457 loss_dfl: 0.187740 loss: 1.324625 eta: 19:06:17 batch_cost: 2.7197 data_cost: 0.0017 ips: 29.4146 images/s [10/16 10:05:15] ppdet.engine INFO: Epoch: [232] [320/366] learning_rate: 0.047411 loss_vfl: 0.840705 loss_bbox: 0.288596 loss_dfl: 0.185374 loss: 1.338824 eta: 19:05:22 batch_cost: 2.8024 data_cost: 0.0032 ips: 28.5468 images/s [10/16 10:06:14] ppdet.engine INFO: Epoch: [232] [340/366] learning_rate: 0.047337 loss_vfl: 0.848971 loss_bbox: 0.302251 loss_dfl: 0.193282 loss: 1.345876 eta: 19:04:26 batch_cost: 2.8046 data_cost: 0.0018 ips: 28.5242 images/s [10/16 10:07:07] ppdet.engine INFO: Epoch: [232] [360/366] learning_rate: 0.047263 loss_vfl: 0.860091 loss_bbox: 0.281844 loss_dfl: 0.184747 loss: 1.337970 eta: 19:03:28 batch_cost: 2.4846 data_cost: 0.0016 ips: 32.1984 images/s [10/16 10:07:46] ppdet.engine INFO: Epoch: [233] [ 0/366] learning_rate: 0.047241 loss_vfl: 0.859740 loss_bbox: 0.301599 loss_dfl: 0.194847 loss: 1.342592 eta: 19:03:16 batch_cost: 3.4017 data_cost: 0.5645 ips: 23.5173 images/s [10/16 10:08:45] ppdet.engine INFO: Epoch: [233] [ 20/366] learning_rate: 0.047167 loss_vfl: 0.836550 loss_bbox: 0.298337 loss_dfl: 0.192450 loss: 1.332901 eta: 19:02:20 batch_cost: 2.8230 data_cost: 0.0018 ips: 28.3389 images/s [10/16 10:09:44] ppdet.engine INFO: Epoch: [233] [ 40/366] learning_rate: 0.047093 loss_vfl: 0.853723 loss_bbox: 0.296501 loss_dfl: 0.186936 loss: 1.336691 eta: 19:01:24 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6363 images/s [10/16 10:10:44] ppdet.engine INFO: Epoch: [233] [ 60/366] learning_rate: 0.047019 loss_vfl: 0.838836 loss_bbox: 0.301838 loss_dfl: 0.182175 loss: 1.333421 eta: 19:00:29 batch_cost: 2.8338 data_cost: 0.0017 ips: 28.2310 images/s [10/16 10:11:43] ppdet.engine INFO: Epoch: [233] [ 80/366] learning_rate: 0.046946 loss_vfl: 0.834123 loss_bbox: 0.290902 loss_dfl: 0.188770 loss: 1.318255 eta: 18:59:33 batch_cost: 2.7749 data_cost: 0.0017 ips: 28.8303 images/s [10/16 10:12:42] ppdet.engine INFO: Epoch: [233] [100/366] learning_rate: 0.046872 loss_vfl: 0.832634 loss_bbox: 0.308804 loss_dfl: 0.192129 loss: 1.345662 eta: 18:58:37 batch_cost: 2.8079 data_cost: 0.0016 ips: 28.4914 images/s [10/16 10:13:40] ppdet.engine INFO: Epoch: [233] [120/366] learning_rate: 0.046798 loss_vfl: 0.844223 loss_bbox: 0.301869 loss_dfl: 0.188713 loss: 1.331822 eta: 18:57:41 batch_cost: 2.7679 data_cost: 0.0017 ips: 28.9025 images/s [10/16 10:14:38] ppdet.engine INFO: Epoch: [233] [140/366] learning_rate: 0.046725 loss_vfl: 0.850444 loss_bbox: 0.301819 loss_dfl: 0.186575 loss: 1.336421 eta: 18:56:44 batch_cost: 2.7553 data_cost: 0.0017 ips: 29.0348 images/s [10/16 10:15:36] ppdet.engine INFO: Epoch: [233] [160/366] learning_rate: 0.046651 loss_vfl: 0.849217 loss_bbox: 0.297993 loss_dfl: 0.195014 loss: 1.338887 eta: 18:55:48 batch_cost: 2.7547 data_cost: 0.0016 ips: 29.0417 images/s [10/16 10:16:36] ppdet.engine INFO: Epoch: [233] [180/366] learning_rate: 0.046578 loss_vfl: 0.844681 loss_bbox: 0.302985 loss_dfl: 0.192782 loss: 1.329133 eta: 18:54:52 batch_cost: 2.8212 data_cost: 0.0023 ips: 28.3568 images/s [10/16 10:17:35] ppdet.engine INFO: Epoch: [233] [200/366] learning_rate: 0.046505 loss_vfl: 0.827090 loss_bbox: 0.304890 loss_dfl: 0.198208 loss: 1.348427 eta: 18:53:57 batch_cost: 2.8248 data_cost: 0.0017 ips: 28.3204 images/s [10/16 10:18:34] ppdet.engine INFO: Epoch: [233] [220/366] learning_rate: 0.046431 loss_vfl: 0.854796 loss_bbox: 0.310953 loss_dfl: 0.197939 loss: 1.344191 eta: 18:53:01 batch_cost: 2.7722 data_cost: 0.0017 ips: 28.8577 images/s [10/16 10:19:33] ppdet.engine INFO: Epoch: [233] [240/366] learning_rate: 0.046358 loss_vfl: 0.843274 loss_bbox: 0.284321 loss_dfl: 0.186338 loss: 1.313688 eta: 18:52:05 batch_cost: 2.8186 data_cost: 0.0018 ips: 28.3827 images/s [10/16 10:20:33] ppdet.engine INFO: Epoch: [233] [260/366] learning_rate: 0.046285 loss_vfl: 0.837652 loss_bbox: 0.292193 loss_dfl: 0.192414 loss: 1.326332 eta: 18:51:09 batch_cost: 2.8337 data_cost: 0.0031 ips: 28.2319 images/s [10/16 10:21:33] ppdet.engine INFO: Epoch: [233] [280/366] learning_rate: 0.046212 loss_vfl: 0.837384 loss_bbox: 0.298205 loss_dfl: 0.191759 loss: 1.338012 eta: 18:50:13 batch_cost: 2.8698 data_cost: 0.0025 ips: 27.8766 images/s [10/16 10:22:32] ppdet.engine INFO: Epoch: [233] [300/366] learning_rate: 0.046138 loss_vfl: 0.853666 loss_bbox: 0.298970 loss_dfl: 0.189044 loss: 1.340706 eta: 18:49:17 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6360 images/s [10/16 10:23:32] ppdet.engine INFO: Epoch: [233] [320/366] learning_rate: 0.046065 loss_vfl: 0.848906 loss_bbox: 0.293417 loss_dfl: 0.188064 loss: 1.318292 eta: 18:48:22 batch_cost: 2.8387 data_cost: 0.0024 ips: 28.1821 images/s [10/16 10:24:30] ppdet.engine INFO: Epoch: [233] [340/366] learning_rate: 0.045992 loss_vfl: 0.843508 loss_bbox: 0.300345 loss_dfl: 0.195513 loss: 1.328563 eta: 18:47:25 batch_cost: 2.7433 data_cost: 0.0018 ips: 29.1616 images/s [10/16 10:25:26] ppdet.engine INFO: Epoch: [233] [360/366] learning_rate: 0.045919 loss_vfl: 0.855695 loss_bbox: 0.308494 loss_dfl: 0.190330 loss: 1.359721 eta: 18:46:29 batch_cost: 2.6536 data_cost: 0.0017 ips: 30.1476 images/s [10/16 10:26:07] ppdet.engine INFO: Epoch: [234] [ 0/366] learning_rate: 0.045897 loss_vfl: 0.855544 loss_bbox: 0.308624 loss_dfl: 0.190145 loss: 1.363734 eta: 18:46:17 batch_cost: 3.5909 data_cost: 0.7771 ips: 22.2786 images/s [10/16 10:27:10] ppdet.engine INFO: Epoch: [234] [ 20/366] learning_rate: 0.045824 loss_vfl: 0.833124 loss_bbox: 0.292084 loss_dfl: 0.193260 loss: 1.325200 eta: 18:45:22 batch_cost: 2.9746 data_cost: 0.0018 ips: 26.8940 images/s [10/16 10:28:09] ppdet.engine INFO: Epoch: [234] [ 40/366] learning_rate: 0.045752 loss_vfl: 0.827414 loss_bbox: 0.311991 loss_dfl: 0.189968 loss: 1.333786 eta: 18:44:27 batch_cost: 2.8266 data_cost: 0.0020 ips: 28.3023 images/s [10/16 10:29:08] ppdet.engine INFO: Epoch: [234] [ 60/366] learning_rate: 0.045679 loss_vfl: 0.844153 loss_bbox: 0.306847 loss_dfl: 0.187778 loss: 1.344690 eta: 18:43:31 batch_cost: 2.7957 data_cost: 0.0027 ips: 28.6154 images/s [10/16 10:30:07] ppdet.engine INFO: Epoch: [234] [ 80/366] learning_rate: 0.045606 loss_vfl: 0.828071 loss_bbox: 0.317949 loss_dfl: 0.191395 loss: 1.332934 eta: 18:42:35 batch_cost: 2.7900 data_cost: 0.0017 ips: 28.6742 images/s [10/16 10:31:07] ppdet.engine INFO: Epoch: [234] [100/366] learning_rate: 0.045533 loss_vfl: 0.839676 loss_bbox: 0.274852 loss_dfl: 0.177916 loss: 1.292667 eta: 18:41:39 batch_cost: 2.8217 data_cost: 0.0020 ips: 28.3522 images/s [10/16 10:32:05] ppdet.engine INFO: Epoch: [234] [120/366] learning_rate: 0.045461 loss_vfl: 0.835935 loss_bbox: 0.289307 loss_dfl: 0.186319 loss: 1.319077 eta: 18:40:43 batch_cost: 2.7602 data_cost: 0.0016 ips: 28.9835 images/s [10/16 10:33:04] ppdet.engine INFO: Epoch: [234] [140/366] learning_rate: 0.045388 loss_vfl: 0.845036 loss_bbox: 0.277289 loss_dfl: 0.180109 loss: 1.321421 eta: 18:39:47 batch_cost: 2.7976 data_cost: 0.0016 ips: 28.5963 images/s [10/16 10:34:02] ppdet.engine INFO: Epoch: [234] [160/366] learning_rate: 0.045315 loss_vfl: 0.845566 loss_bbox: 0.305505 loss_dfl: 0.191784 loss: 1.346591 eta: 18:38:51 batch_cost: 2.7808 data_cost: 0.0016 ips: 28.7689 images/s [10/16 10:35:01] ppdet.engine INFO: Epoch: [234] [180/366] learning_rate: 0.045243 loss_vfl: 0.846152 loss_bbox: 0.293889 loss_dfl: 0.186290 loss: 1.324899 eta: 18:37:55 batch_cost: 2.8017 data_cost: 0.0016 ips: 28.5539 images/s [10/16 10:36:00] ppdet.engine INFO: Epoch: [234] [200/366] learning_rate: 0.045170 loss_vfl: 0.828071 loss_bbox: 0.284991 loss_dfl: 0.185216 loss: 1.302824 eta: 18:36:59 batch_cost: 2.7795 data_cost: 0.0017 ips: 28.7820 images/s [10/16 10:36:58] ppdet.engine INFO: Epoch: [234] [220/366] learning_rate: 0.045098 loss_vfl: 0.843851 loss_bbox: 0.304362 loss_dfl: 0.196117 loss: 1.338061 eta: 18:36:03 batch_cost: 2.7602 data_cost: 0.0017 ips: 28.9829 images/s [10/16 10:37:57] ppdet.engine INFO: Epoch: [234] [240/366] learning_rate: 0.045026 loss_vfl: 0.839662 loss_bbox: 0.290757 loss_dfl: 0.180880 loss: 1.318060 eta: 18:35:07 batch_cost: 2.8346 data_cost: 0.0017 ips: 28.2230 images/s [10/16 10:38:56] ppdet.engine INFO: Epoch: [234] [260/366] learning_rate: 0.044953 loss_vfl: 0.839590 loss_bbox: 0.300546 loss_dfl: 0.193292 loss: 1.330433 eta: 18:34:11 batch_cost: 2.7620 data_cost: 0.0023 ips: 28.9643 images/s [10/16 10:39:54] ppdet.engine INFO: Epoch: [234] [280/366] learning_rate: 0.044881 loss_vfl: 0.845824 loss_bbox: 0.308373 loss_dfl: 0.195001 loss: 1.342657 eta: 18:33:15 batch_cost: 2.7658 data_cost: 0.0027 ips: 28.9244 images/s [10/16 10:40:52] ppdet.engine INFO: Epoch: [234] [300/366] learning_rate: 0.044809 loss_vfl: 0.844704 loss_bbox: 0.300621 loss_dfl: 0.197666 loss: 1.347373 eta: 18:32:18 batch_cost: 2.7433 data_cost: 0.0016 ips: 29.1617 images/s [10/16 10:41:51] ppdet.engine INFO: Epoch: [234] [320/366] learning_rate: 0.044737 loss_vfl: 0.837336 loss_bbox: 0.291527 loss_dfl: 0.186292 loss: 1.328137 eta: 18:31:22 batch_cost: 2.8151 data_cost: 0.0037 ips: 28.4185 images/s [10/16 10:42:50] ppdet.engine INFO: Epoch: [234] [340/366] learning_rate: 0.044664 loss_vfl: 0.841606 loss_bbox: 0.304601 loss_dfl: 0.194352 loss: 1.345529 eta: 18:30:26 batch_cost: 2.7652 data_cost: 0.0018 ips: 28.9312 images/s [10/16 10:43:45] ppdet.engine INFO: Epoch: [234] [360/366] learning_rate: 0.044592 loss_vfl: 0.836625 loss_bbox: 0.298541 loss_dfl: 0.192908 loss: 1.330638 eta: 18:29:29 batch_cost: 2.6119 data_cost: 0.0016 ips: 30.6293 images/s [10/16 10:44:26] ppdet.engine INFO: Epoch: [235] [ 0/366] learning_rate: 0.044571 loss_vfl: 0.844672 loss_bbox: 0.298042 loss_dfl: 0.192470 loss: 1.330813 eta: 18:29:18 batch_cost: 3.5946 data_cost: 0.6074 ips: 22.2558 images/s [10/16 10:45:25] ppdet.engine INFO: Epoch: [235] [ 20/366] learning_rate: 0.044499 loss_vfl: 0.833697 loss_bbox: 0.317324 loss_dfl: 0.195243 loss: 1.331229 eta: 18:28:22 batch_cost: 2.7970 data_cost: 0.0017 ips: 28.6021 images/s [10/16 10:46:24] ppdet.engine INFO: Epoch: [235] [ 40/366] learning_rate: 0.044427 loss_vfl: 0.840140 loss_bbox: 0.305974 loss_dfl: 0.193028 loss: 1.338395 eta: 18:27:26 batch_cost: 2.7977 data_cost: 0.0017 ips: 28.5951 images/s [10/16 10:47:22] ppdet.engine INFO: Epoch: [235] [ 60/366] learning_rate: 0.044355 loss_vfl: 0.841357 loss_bbox: 0.303740 loss_dfl: 0.191330 loss: 1.344629 eta: 18:26:30 batch_cost: 2.7666 data_cost: 0.0017 ips: 28.9159 images/s [10/16 10:48:21] ppdet.engine INFO: Epoch: [235] [ 80/366] learning_rate: 0.044283 loss_vfl: 0.826622 loss_bbox: 0.302947 loss_dfl: 0.195360 loss: 1.340757 eta: 18:25:34 batch_cost: 2.8020 data_cost: 0.0023 ips: 28.5515 images/s [10/16 10:49:19] ppdet.engine INFO: Epoch: [235] [100/366] learning_rate: 0.044211 loss_vfl: 0.834313 loss_bbox: 0.298596 loss_dfl: 0.189254 loss: 1.323813 eta: 18:24:38 batch_cost: 2.7437 data_cost: 0.0017 ips: 29.1580 images/s [10/16 10:50:17] ppdet.engine INFO: Epoch: [235] [120/366] learning_rate: 0.044140 loss_vfl: 0.850893 loss_bbox: 0.307918 loss_dfl: 0.196823 loss: 1.339386 eta: 18:23:41 batch_cost: 2.7162 data_cost: 0.0046 ips: 29.4524 images/s [10/16 10:51:16] ppdet.engine INFO: Epoch: [235] [140/366] learning_rate: 0.044068 loss_vfl: 0.834970 loss_bbox: 0.300663 loss_dfl: 0.181884 loss: 1.335428 eta: 18:22:46 batch_cost: 2.8227 data_cost: 0.0036 ips: 28.3412 images/s [10/16 10:52:14] ppdet.engine INFO: Epoch: [235] [160/366] learning_rate: 0.043996 loss_vfl: 0.836898 loss_bbox: 0.298166 loss_dfl: 0.188655 loss: 1.312257 eta: 18:21:49 batch_cost: 2.7583 data_cost: 0.0016 ips: 29.0031 images/s [10/16 10:53:13] ppdet.engine INFO: Epoch: [235] [180/366] learning_rate: 0.043925 loss_vfl: 0.843873 loss_bbox: 0.316550 loss_dfl: 0.196106 loss: 1.342463 eta: 18:20:53 batch_cost: 2.7673 data_cost: 0.0017 ips: 28.9095 images/s [10/16 10:54:11] ppdet.engine INFO: Epoch: [235] [200/366] learning_rate: 0.043853 loss_vfl: 0.839737 loss_bbox: 0.301071 loss_dfl: 0.193964 loss: 1.333569 eta: 18:19:57 batch_cost: 2.7657 data_cost: 0.0023 ips: 28.9253 images/s [10/16 10:55:12] ppdet.engine INFO: Epoch: [235] [220/366] learning_rate: 0.043782 loss_vfl: 0.838413 loss_bbox: 0.311782 loss_dfl: 0.187086 loss: 1.323552 eta: 18:19:02 batch_cost: 2.8572 data_cost: 0.0018 ips: 27.9997 images/s [10/16 10:56:10] ppdet.engine INFO: Epoch: [235] [240/366] learning_rate: 0.043710 loss_vfl: 0.834896 loss_bbox: 0.286459 loss_dfl: 0.181755 loss: 1.308296 eta: 18:18:05 batch_cost: 2.7714 data_cost: 0.0017 ips: 28.8663 images/s [10/16 10:57:09] ppdet.engine INFO: Epoch: [235] [260/366] learning_rate: 0.043639 loss_vfl: 0.828136 loss_bbox: 0.302130 loss_dfl: 0.191168 loss: 1.331517 eta: 18:17:09 batch_cost: 2.7631 data_cost: 0.0024 ips: 28.9534 images/s [10/16 10:58:07] ppdet.engine INFO: Epoch: [235] [280/366] learning_rate: 0.043567 loss_vfl: 0.848865 loss_bbox: 0.309747 loss_dfl: 0.193093 loss: 1.352814 eta: 18:16:13 batch_cost: 2.7810 data_cost: 0.0027 ips: 28.7663 images/s [10/16 10:59:07] ppdet.engine INFO: Epoch: [235] [300/366] learning_rate: 0.043496 loss_vfl: 0.844052 loss_bbox: 0.301798 loss_dfl: 0.194380 loss: 1.347778 eta: 18:15:18 batch_cost: 2.8396 data_cost: 0.0017 ips: 28.1734 images/s [10/16 11:00:07] ppdet.engine INFO: Epoch: [235] [320/366] learning_rate: 0.043425 loss_vfl: 0.837805 loss_bbox: 0.299922 loss_dfl: 0.187053 loss: 1.308491 eta: 18:14:22 batch_cost: 2.8056 data_cost: 0.0016 ips: 28.5142 images/s [10/16 11:01:07] ppdet.engine INFO: Epoch: [235] [340/366] learning_rate: 0.043354 loss_vfl: 0.847167 loss_bbox: 0.293454 loss_dfl: 0.186680 loss: 1.319659 eta: 18:13:26 batch_cost: 2.8627 data_cost: 0.0017 ips: 27.9460 images/s [10/16 11:02:00] ppdet.engine INFO: Epoch: [235] [360/366] learning_rate: 0.043283 loss_vfl: 0.846414 loss_bbox: 0.300322 loss_dfl: 0.191076 loss: 1.333112 eta: 18:12:28 batch_cost: 2.4858 data_cost: 0.0017 ips: 32.1832 images/s [10/16 11:02:34] ppdet.engine INFO: Epoch: [236] [ 0/366] learning_rate: 0.043261 loss_vfl: 0.835992 loss_bbox: 0.300688 loss_dfl: 0.192009 loss: 1.328145 eta: 18:12:15 batch_cost: 3.1521 data_cost: 0.3500 ips: 25.3797 images/s [10/16 11:03:37] ppdet.engine INFO: Epoch: [236] [ 20/366] learning_rate: 0.043190 loss_vfl: 0.817695 loss_bbox: 0.282082 loss_dfl: 0.177976 loss: 1.277243 eta: 18:11:20 batch_cost: 3.0197 data_cost: 0.0016 ips: 26.4924 images/s [10/16 11:04:36] ppdet.engine INFO: Epoch: [236] [ 40/366] learning_rate: 0.043119 loss_vfl: 0.841778 loss_bbox: 0.306899 loss_dfl: 0.194437 loss: 1.348469 eta: 18:10:24 batch_cost: 2.8138 data_cost: 0.0017 ips: 28.4312 images/s [10/16 11:05:37] ppdet.engine INFO: Epoch: [236] [ 60/366] learning_rate: 0.043048 loss_vfl: 0.838005 loss_bbox: 0.284352 loss_dfl: 0.178087 loss: 1.310062 eta: 18:09:29 batch_cost: 2.8726 data_cost: 0.0017 ips: 27.8495 images/s [10/16 11:06:37] ppdet.engine INFO: Epoch: [236] [ 80/366] learning_rate: 0.042977 loss_vfl: 0.830692 loss_bbox: 0.292956 loss_dfl: 0.188115 loss: 1.308388 eta: 18:08:33 batch_cost: 2.8525 data_cost: 0.0016 ips: 28.0456 images/s [10/16 11:07:35] ppdet.engine INFO: Epoch: [236] [100/366] learning_rate: 0.042907 loss_vfl: 0.826082 loss_bbox: 0.276574 loss_dfl: 0.183459 loss: 1.276309 eta: 18:07:37 batch_cost: 2.7568 data_cost: 0.0016 ips: 29.0192 images/s [10/16 11:08:33] ppdet.engine INFO: Epoch: [236] [120/366] learning_rate: 0.042836 loss_vfl: 0.832653 loss_bbox: 0.313438 loss_dfl: 0.196446 loss: 1.348217 eta: 18:06:41 batch_cost: 2.7640 data_cost: 0.0017 ips: 28.9436 images/s [10/16 11:09:33] ppdet.engine INFO: Epoch: [236] [140/366] learning_rate: 0.042765 loss_vfl: 0.843241 loss_bbox: 0.285624 loss_dfl: 0.182335 loss: 1.327849 eta: 18:05:45 batch_cost: 2.8558 data_cost: 0.0017 ips: 28.0134 images/s [10/16 11:10:32] ppdet.engine INFO: Epoch: [236] [160/366] learning_rate: 0.042694 loss_vfl: 0.827284 loss_bbox: 0.300913 loss_dfl: 0.190280 loss: 1.312465 eta: 18:04:49 batch_cost: 2.7811 data_cost: 0.0016 ips: 28.7660 images/s [10/16 11:11:30] ppdet.engine INFO: Epoch: [236] [180/366] learning_rate: 0.042624 loss_vfl: 0.839287 loss_bbox: 0.286007 loss_dfl: 0.185692 loss: 1.321823 eta: 18:03:53 batch_cost: 2.7825 data_cost: 0.0017 ips: 28.7514 images/s [10/16 11:12:28] ppdet.engine INFO: Epoch: [236] [200/366] learning_rate: 0.042553 loss_vfl: 0.828988 loss_bbox: 0.268432 loss_dfl: 0.180768 loss: 1.291666 eta: 18:02:57 batch_cost: 2.7196 data_cost: 0.0027 ips: 29.4158 images/s [10/16 11:13:29] ppdet.engine INFO: Epoch: [236] [220/366] learning_rate: 0.042482 loss_vfl: 0.830843 loss_bbox: 0.296454 loss_dfl: 0.182765 loss: 1.299802 eta: 18:02:01 batch_cost: 2.8917 data_cost: 0.0039 ips: 27.6650 images/s [10/16 11:14:28] ppdet.engine INFO: Epoch: [236] [240/366] learning_rate: 0.042412 loss_vfl: 0.838665 loss_bbox: 0.297143 loss_dfl: 0.187154 loss: 1.320981 eta: 18:01:05 batch_cost: 2.8005 data_cost: 0.0017 ips: 28.5666 images/s [10/16 11:15:27] ppdet.engine INFO: Epoch: [236] [260/366] learning_rate: 0.042341 loss_vfl: 0.838589 loss_bbox: 0.297127 loss_dfl: 0.188412 loss: 1.340835 eta: 18:00:09 batch_cost: 2.7922 data_cost: 0.0021 ips: 28.6515 images/s [10/16 11:16:24] ppdet.engine INFO: Epoch: [236] [280/366] learning_rate: 0.042271 loss_vfl: 0.835205 loss_bbox: 0.310679 loss_dfl: 0.195008 loss: 1.349037 eta: 17:59:13 batch_cost: 2.7441 data_cost: 0.0016 ips: 29.1532 images/s [10/16 11:17:23] ppdet.engine INFO: Epoch: [236] [300/366] learning_rate: 0.042201 loss_vfl: 0.858202 loss_bbox: 0.296503 loss_dfl: 0.189436 loss: 1.345247 eta: 17:58:17 batch_cost: 2.7741 data_cost: 0.0016 ips: 28.8386 images/s [10/16 11:18:23] ppdet.engine INFO: Epoch: [236] [320/366] learning_rate: 0.042130 loss_vfl: 0.860392 loss_bbox: 0.322391 loss_dfl: 0.196613 loss: 1.365236 eta: 17:57:21 batch_cost: 2.8046 data_cost: 0.0017 ips: 28.5247 images/s [10/16 11:19:21] ppdet.engine INFO: Epoch: [236] [340/366] learning_rate: 0.042060 loss_vfl: 0.835083 loss_bbox: 0.300343 loss_dfl: 0.184174 loss: 1.310848 eta: 17:56:25 batch_cost: 2.7566 data_cost: 0.0017 ips: 29.0217 images/s [10/16 11:20:13] ppdet.engine INFO: Epoch: [236] [360/366] learning_rate: 0.041990 loss_vfl: 0.832182 loss_bbox: 0.308155 loss_dfl: 0.194359 loss: 1.359312 eta: 17:55:27 batch_cost: 2.4845 data_cost: 0.0016 ips: 32.1992 images/s [10/16 11:20:56] ppdet.engine INFO: Epoch: [237] [ 0/366] learning_rate: 0.041969 loss_vfl: 0.839059 loss_bbox: 0.292788 loss_dfl: 0.188606 loss: 1.330101 eta: 17:55:16 batch_cost: 3.5811 data_cost: 0.7262 ips: 22.3396 images/s [10/16 11:21:55] ppdet.engine INFO: Epoch: [237] [ 20/366] learning_rate: 0.041899 loss_vfl: 0.825606 loss_bbox: 0.295209 loss_dfl: 0.183944 loss: 1.307792 eta: 17:54:20 batch_cost: 2.8256 data_cost: 0.0024 ips: 28.3126 images/s [10/16 11:22:55] ppdet.engine INFO: Epoch: [237] [ 40/366] learning_rate: 0.041829 loss_vfl: 0.843224 loss_bbox: 0.307961 loss_dfl: 0.193629 loss: 1.344712 eta: 17:53:25 batch_cost: 2.8229 data_cost: 0.0023 ips: 28.3399 images/s [10/16 11:23:53] ppdet.engine INFO: Epoch: [237] [ 60/366] learning_rate: 0.041759 loss_vfl: 0.832720 loss_bbox: 0.292929 loss_dfl: 0.187741 loss: 1.310086 eta: 17:52:28 batch_cost: 2.7676 data_cost: 0.0023 ips: 28.9064 images/s [10/16 11:24:51] ppdet.engine INFO: Epoch: [237] [ 80/366] learning_rate: 0.041689 loss_vfl: 0.833411 loss_bbox: 0.299053 loss_dfl: 0.185889 loss: 1.337873 eta: 17:51:32 batch_cost: 2.7536 data_cost: 0.0024 ips: 29.0532 images/s [10/16 11:25:51] ppdet.engine INFO: Epoch: [237] [100/366] learning_rate: 0.041619 loss_vfl: 0.839096 loss_bbox: 0.284629 loss_dfl: 0.184285 loss: 1.298791 eta: 17:50:36 batch_cost: 2.8171 data_cost: 0.0016 ips: 28.3976 images/s [10/16 11:26:50] ppdet.engine INFO: Epoch: [237] [120/366] learning_rate: 0.041549 loss_vfl: 0.841507 loss_bbox: 0.304955 loss_dfl: 0.186893 loss: 1.323160 eta: 17:49:41 batch_cost: 2.8347 data_cost: 0.0023 ips: 28.2219 images/s [10/16 11:27:50] ppdet.engine INFO: Epoch: [237] [140/366] learning_rate: 0.041479 loss_vfl: 0.850599 loss_bbox: 0.291274 loss_dfl: 0.185815 loss: 1.329345 eta: 17:48:45 batch_cost: 2.8383 data_cost: 0.0028 ips: 28.1860 images/s [10/16 11:28:49] ppdet.engine INFO: Epoch: [237] [160/366] learning_rate: 0.041409 loss_vfl: 0.835672 loss_bbox: 0.303341 loss_dfl: 0.189920 loss: 1.333411 eta: 17:47:49 batch_cost: 2.7927 data_cost: 0.0017 ips: 28.6462 images/s [10/16 11:29:47] ppdet.engine INFO: Epoch: [237] [180/366] learning_rate: 0.041340 loss_vfl: 0.840768 loss_bbox: 0.304711 loss_dfl: 0.189933 loss: 1.340016 eta: 17:46:53 batch_cost: 2.7711 data_cost: 0.0029 ips: 28.8697 images/s [10/16 11:30:46] ppdet.engine INFO: Epoch: [237] [200/366] learning_rate: 0.041270 loss_vfl: 0.848749 loss_bbox: 0.291223 loss_dfl: 0.187181 loss: 1.318580 eta: 17:45:57 batch_cost: 2.7962 data_cost: 0.0025 ips: 28.6105 images/s [10/16 11:31:43] ppdet.engine INFO: Epoch: [237] [220/366] learning_rate: 0.041201 loss_vfl: 0.845357 loss_bbox: 0.296891 loss_dfl: 0.187304 loss: 1.341316 eta: 17:45:00 batch_cost: 2.7165 data_cost: 0.0024 ips: 29.4491 images/s [10/16 11:32:43] ppdet.engine INFO: Epoch: [237] [240/366] learning_rate: 0.041131 loss_vfl: 0.817470 loss_bbox: 0.295359 loss_dfl: 0.187247 loss: 1.323675 eta: 17:44:05 batch_cost: 2.8477 data_cost: 0.0017 ips: 28.0928 images/s [10/16 11:33:42] ppdet.engine INFO: Epoch: [237] [260/366] learning_rate: 0.041061 loss_vfl: 0.836201 loss_bbox: 0.312444 loss_dfl: 0.190965 loss: 1.321182 eta: 17:43:09 batch_cost: 2.7771 data_cost: 0.0016 ips: 28.8066 images/s [10/16 11:34:41] ppdet.engine INFO: Epoch: [237] [280/366] learning_rate: 0.040992 loss_vfl: 0.841207 loss_bbox: 0.286410 loss_dfl: 0.180786 loss: 1.306463 eta: 17:42:13 batch_cost: 2.8014 data_cost: 0.0032 ips: 28.5571 images/s [10/16 11:35:39] ppdet.engine INFO: Epoch: [237] [300/366] learning_rate: 0.040923 loss_vfl: 0.850830 loss_bbox: 0.297115 loss_dfl: 0.189916 loss: 1.333121 eta: 17:41:17 batch_cost: 2.7495 data_cost: 0.0016 ips: 29.0958 images/s [10/16 11:36:38] ppdet.engine INFO: Epoch: [237] [320/366] learning_rate: 0.040853 loss_vfl: 0.824261 loss_bbox: 0.298629 loss_dfl: 0.192358 loss: 1.314939 eta: 17:40:21 batch_cost: 2.7977 data_cost: 0.0026 ips: 28.5953 images/s [10/16 11:37:36] ppdet.engine INFO: Epoch: [237] [340/366] learning_rate: 0.040784 loss_vfl: 0.840230 loss_bbox: 0.308233 loss_dfl: 0.193629 loss: 1.339457 eta: 17:39:24 batch_cost: 2.7420 data_cost: 0.0019 ips: 29.1760 images/s [10/16 11:38:30] ppdet.engine INFO: Epoch: [237] [360/366] learning_rate: 0.040715 loss_vfl: 0.846922 loss_bbox: 0.284662 loss_dfl: 0.186539 loss: 1.310692 eta: 17:38:27 batch_cost: 2.5647 data_cost: 0.0017 ips: 31.1921 images/s [10/16 11:39:10] ppdet.engine INFO: Epoch: [238] [ 0/366] learning_rate: 0.040694 loss_vfl: 0.857141 loss_bbox: 0.280137 loss_dfl: 0.183580 loss: 1.310692 eta: 17:38:15 batch_cost: 3.4899 data_cost: 0.5367 ips: 22.9235 images/s [10/16 11:40:10] ppdet.engine INFO: Epoch: [238] [ 20/366] learning_rate: 0.040625 loss_vfl: 0.822226 loss_bbox: 0.282630 loss_dfl: 0.185066 loss: 1.295160 eta: 17:37:19 batch_cost: 2.8057 data_cost: 0.0021 ips: 28.5137 images/s [10/16 11:41:09] ppdet.engine INFO: Epoch: [238] [ 40/366] learning_rate: 0.040556 loss_vfl: 0.827210 loss_bbox: 0.283399 loss_dfl: 0.187498 loss: 1.302676 eta: 17:36:23 batch_cost: 2.8026 data_cost: 0.0017 ips: 28.5453 images/s [10/16 11:42:08] ppdet.engine INFO: Epoch: [238] [ 60/366] learning_rate: 0.040487 loss_vfl: 0.824911 loss_bbox: 0.298113 loss_dfl: 0.187167 loss: 1.314094 eta: 17:35:27 batch_cost: 2.7793 data_cost: 0.0017 ips: 28.7840 images/s [10/16 11:43:06] ppdet.engine INFO: Epoch: [238] [ 80/366] learning_rate: 0.040418 loss_vfl: 0.834539 loss_bbox: 0.296965 loss_dfl: 0.191746 loss: 1.332277 eta: 17:34:31 batch_cost: 2.7543 data_cost: 0.0017 ips: 29.0450 images/s [10/16 11:44:05] ppdet.engine INFO: Epoch: [238] [100/366] learning_rate: 0.040349 loss_vfl: 0.843418 loss_bbox: 0.295368 loss_dfl: 0.186590 loss: 1.313690 eta: 17:33:35 batch_cost: 2.8469 data_cost: 0.0024 ips: 28.1011 images/s [10/16 11:45:05] ppdet.engine INFO: Epoch: [238] [120/366] learning_rate: 0.040280 loss_vfl: 0.836350 loss_bbox: 0.317221 loss_dfl: 0.200551 loss: 1.345414 eta: 17:32:39 batch_cost: 2.8392 data_cost: 0.0017 ips: 28.1769 images/s [10/16 11:46:04] ppdet.engine INFO: Epoch: [238] [140/366] learning_rate: 0.040211 loss_vfl: 0.830713 loss_bbox: 0.310979 loss_dfl: 0.200631 loss: 1.337059 eta: 17:31:43 batch_cost: 2.7993 data_cost: 0.0017 ips: 28.5783 images/s [10/16 11:47:04] ppdet.engine INFO: Epoch: [238] [160/366] learning_rate: 0.040142 loss_vfl: 0.832174 loss_bbox: 0.302697 loss_dfl: 0.187336 loss: 1.320814 eta: 17:30:48 batch_cost: 2.8269 data_cost: 0.0035 ips: 28.3000 images/s [10/16 11:48:04] ppdet.engine INFO: Epoch: [238] [180/366] learning_rate: 0.040073 loss_vfl: 0.825479 loss_bbox: 0.306461 loss_dfl: 0.188136 loss: 1.331782 eta: 17:29:52 batch_cost: 2.8405 data_cost: 0.0016 ips: 28.1638 images/s [10/16 11:49:04] ppdet.engine INFO: Epoch: [238] [200/366] learning_rate: 0.040005 loss_vfl: 0.818819 loss_bbox: 0.288595 loss_dfl: 0.183854 loss: 1.283763 eta: 17:28:56 batch_cost: 2.8435 data_cost: 0.0017 ips: 28.1348 images/s [10/16 11:50:03] ppdet.engine INFO: Epoch: [238] [220/366] learning_rate: 0.039936 loss_vfl: 0.850172 loss_bbox: 0.308082 loss_dfl: 0.196809 loss: 1.334771 eta: 17:28:00 batch_cost: 2.8012 data_cost: 0.0023 ips: 28.5587 images/s [10/16 11:51:02] ppdet.engine INFO: Epoch: [238] [240/366] learning_rate: 0.039867 loss_vfl: 0.834066 loss_bbox: 0.303725 loss_dfl: 0.185268 loss: 1.331520 eta: 17:27:04 batch_cost: 2.7789 data_cost: 0.0016 ips: 28.7883 images/s [10/16 11:52:00] ppdet.engine INFO: Epoch: [238] [260/366] learning_rate: 0.039799 loss_vfl: 0.844742 loss_bbox: 0.288733 loss_dfl: 0.184937 loss: 1.312619 eta: 17:26:08 batch_cost: 2.7727 data_cost: 0.0016 ips: 28.8525 images/s [10/16 11:53:00] ppdet.engine INFO: Epoch: [238] [280/366] learning_rate: 0.039730 loss_vfl: 0.843953 loss_bbox: 0.300737 loss_dfl: 0.190283 loss: 1.311333 eta: 17:25:12 batch_cost: 2.8440 data_cost: 0.0016 ips: 28.1291 images/s [10/16 11:53:57] ppdet.engine INFO: Epoch: [238] [300/366] learning_rate: 0.039662 loss_vfl: 0.846773 loss_bbox: 0.279339 loss_dfl: 0.187908 loss: 1.316694 eta: 17:24:16 batch_cost: 2.7224 data_cost: 0.0023 ips: 29.3863 images/s [10/16 11:54:56] ppdet.engine INFO: Epoch: [238] [320/366] learning_rate: 0.039594 loss_vfl: 0.830221 loss_bbox: 0.304111 loss_dfl: 0.193928 loss: 1.326532 eta: 17:23:20 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7076 images/s [10/16 11:55:56] ppdet.engine INFO: Epoch: [238] [340/366] learning_rate: 0.039525 loss_vfl: 0.829827 loss_bbox: 0.301962 loss_dfl: 0.189248 loss: 1.318065 eta: 17:22:24 batch_cost: 2.8213 data_cost: 0.0016 ips: 28.3554 images/s [10/16 11:56:49] ppdet.engine INFO: Epoch: [238] [360/366] learning_rate: 0.039457 loss_vfl: 0.854800 loss_bbox: 0.296348 loss_dfl: 0.186929 loss: 1.329666 eta: 17:21:27 batch_cost: 2.5410 data_cost: 0.0016 ips: 31.4831 images/s [10/16 11:57:31] ppdet.engine INFO: Epoch: [239] [ 0/366] learning_rate: 0.039437 loss_vfl: 0.854339 loss_bbox: 0.297453 loss_dfl: 0.189927 loss: 1.336317 eta: 17:21:15 batch_cost: 3.5544 data_cost: 0.5423 ips: 22.5075 images/s [10/16 11:58:32] ppdet.engine INFO: Epoch: [239] [ 20/366] learning_rate: 0.039368 loss_vfl: 0.826796 loss_bbox: 0.287410 loss_dfl: 0.189783 loss: 1.309130 eta: 17:20:20 batch_cost: 2.8644 data_cost: 0.0016 ips: 27.9293 images/s [10/16 11:59:31] ppdet.engine INFO: Epoch: [239] [ 40/366] learning_rate: 0.039300 loss_vfl: 0.837579 loss_bbox: 0.297997 loss_dfl: 0.188415 loss: 1.322191 eta: 17:19:24 batch_cost: 2.8473 data_cost: 0.0017 ips: 28.0971 images/s [10/16 12:00:31] ppdet.engine INFO: Epoch: [239] [ 60/366] learning_rate: 0.039232 loss_vfl: 0.836586 loss_bbox: 0.282830 loss_dfl: 0.187171 loss: 1.316356 eta: 17:18:28 batch_cost: 2.8276 data_cost: 0.0028 ips: 28.2921 images/s [10/16 12:01:29] ppdet.engine INFO: Epoch: [239] [ 80/366] learning_rate: 0.039164 loss_vfl: 0.834505 loss_bbox: 0.289638 loss_dfl: 0.184040 loss: 1.317291 eta: 17:17:32 batch_cost: 2.7554 data_cost: 0.0016 ips: 29.0344 images/s [10/16 12:02:28] ppdet.engine INFO: Epoch: [239] [100/366] learning_rate: 0.039096 loss_vfl: 0.830515 loss_bbox: 0.289406 loss_dfl: 0.185612 loss: 1.311796 eta: 17:16:36 batch_cost: 2.7688 data_cost: 0.0023 ips: 28.8931 images/s [10/16 12:03:26] ppdet.engine INFO: Epoch: [239] [120/366] learning_rate: 0.039028 loss_vfl: 0.833506 loss_bbox: 0.290243 loss_dfl: 0.188888 loss: 1.318698 eta: 17:15:40 batch_cost: 2.7681 data_cost: 0.0016 ips: 28.9006 images/s [10/16 12:04:25] ppdet.engine INFO: Epoch: [239] [140/366] learning_rate: 0.038960 loss_vfl: 0.826613 loss_bbox: 0.299734 loss_dfl: 0.194193 loss: 1.322212 eta: 17:14:43 batch_cost: 2.7582 data_cost: 0.0016 ips: 29.0045 images/s [10/16 12:05:22] ppdet.engine INFO: Epoch: [239] [160/366] learning_rate: 0.038892 loss_vfl: 0.822024 loss_bbox: 0.292485 loss_dfl: 0.180838 loss: 1.301132 eta: 17:13:47 batch_cost: 2.7288 data_cost: 0.0017 ips: 29.3169 images/s [10/16 12:06:20] ppdet.engine INFO: Epoch: [239] [180/366] learning_rate: 0.038825 loss_vfl: 0.829866 loss_bbox: 0.314470 loss_dfl: 0.193507 loss: 1.338642 eta: 17:12:51 batch_cost: 2.7593 data_cost: 0.0016 ips: 28.9930 images/s [10/16 12:07:18] ppdet.engine INFO: Epoch: [239] [200/366] learning_rate: 0.038757 loss_vfl: 0.836774 loss_bbox: 0.314481 loss_dfl: 0.197521 loss: 1.333855 eta: 17:11:55 batch_cost: 2.7621 data_cost: 0.0029 ips: 28.9631 images/s [10/16 12:08:18] ppdet.engine INFO: Epoch: [239] [220/366] learning_rate: 0.038689 loss_vfl: 0.827363 loss_bbox: 0.298278 loss_dfl: 0.191790 loss: 1.337939 eta: 17:10:59 batch_cost: 2.8170 data_cost: 0.0021 ips: 28.3988 images/s [10/16 12:09:17] ppdet.engine INFO: Epoch: [239] [240/366] learning_rate: 0.038621 loss_vfl: 0.843813 loss_bbox: 0.302194 loss_dfl: 0.189427 loss: 1.328394 eta: 17:10:03 batch_cost: 2.8068 data_cost: 0.0042 ips: 28.5021 images/s [10/16 12:10:17] ppdet.engine INFO: Epoch: [239] [260/366] learning_rate: 0.038554 loss_vfl: 0.837855 loss_bbox: 0.289908 loss_dfl: 0.184533 loss: 1.308059 eta: 17:09:07 batch_cost: 2.8303 data_cost: 0.0026 ips: 28.2658 images/s [10/16 12:11:15] ppdet.engine INFO: Epoch: [239] [280/366] learning_rate: 0.038486 loss_vfl: 0.832671 loss_bbox: 0.280124 loss_dfl: 0.182146 loss: 1.305878 eta: 17:08:11 batch_cost: 2.7665 data_cost: 0.0027 ips: 28.9179 images/s [10/16 12:12:14] ppdet.engine INFO: Epoch: [239] [300/366] learning_rate: 0.038419 loss_vfl: 0.844114 loss_bbox: 0.301910 loss_dfl: 0.189395 loss: 1.335449 eta: 17:07:15 batch_cost: 2.8085 data_cost: 0.0022 ips: 28.4854 images/s [10/16 12:13:12] ppdet.engine INFO: Epoch: [239] [320/366] learning_rate: 0.038351 loss_vfl: 0.839587 loss_bbox: 0.282873 loss_dfl: 0.185526 loss: 1.312431 eta: 17:06:19 batch_cost: 2.7178 data_cost: 0.0016 ips: 29.4357 images/s [10/16 12:14:11] ppdet.engine INFO: Epoch: [239] [340/366] learning_rate: 0.038284 loss_vfl: 0.841205 loss_bbox: 0.296104 loss_dfl: 0.180867 loss: 1.329367 eta: 17:05:23 batch_cost: 2.8168 data_cost: 0.0017 ips: 28.4013 images/s [10/16 12:15:04] ppdet.engine INFO: Epoch: [239] [360/366] learning_rate: 0.038217 loss_vfl: 0.841348 loss_bbox: 0.283870 loss_dfl: 0.184862 loss: 1.314093 eta: 17:04:25 batch_cost: 2.4950 data_cost: 0.0021 ips: 32.0646 images/s [10/16 12:15:20] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 12:15:20] ppdet.engine INFO: Eval iter: 0 [10/16 12:16:01] ppdet.engine INFO: Eval iter: 100 [10/16 12:16:24] ppdet.engine INFO: Eval iter: 200 [10/16 12:16:46] ppdet.engine INFO: Eval iter: 300 [10/16 12:17:08] ppdet.engine INFO: Eval iter: 400 [10/16 12:17:30] ppdet.engine INFO: Eval iter: 500 [10/16 12:17:52] ppdet.engine INFO: Eval iter: 600 [10/16 12:18:13] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.64s) creating index... index created! [10/16 12:18:14] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.96s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.83s). Accumulating evaluation results... DONE (t=19.39s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.454 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.276 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 ] = 0.466 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.197 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.715 [10/16 12:20:19] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.222281718747755 [10/16 12:20:19] ppdet.engine INFO: Best test bbox ap is 0.304. [10/16 12:20:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 12:20:22] ppdet.engine INFO: Epoch: [240] [ 0/366] learning_rate: 0.038197 loss_vfl: 0.845237 loss_bbox: 0.300912 loss_dfl: 0.187467 loss: 1.334529 eta: 17:04:08 batch_cost: 2.3523 data_cost: 0.0022 ips: 34.0095 images/s [10/16 12:21:23] ppdet.engine INFO: Epoch: [240] [ 20/366] learning_rate: 0.038129 loss_vfl: 0.838525 loss_bbox: 0.291970 loss_dfl: 0.186720 loss: 1.318642 eta: 17:03:12 batch_cost: 2.8900 data_cost: 0.0018 ips: 27.6819 images/s [10/16 12:22:22] ppdet.engine INFO: Epoch: [240] [ 40/366] learning_rate: 0.038062 loss_vfl: 0.841458 loss_bbox: 0.286718 loss_dfl: 0.183988 loss: 1.311442 eta: 17:02:16 batch_cost: 2.8213 data_cost: 0.0023 ips: 28.3559 images/s [10/16 12:23:22] ppdet.engine INFO: Epoch: [240] [ 60/366] learning_rate: 0.037995 loss_vfl: 0.830627 loss_bbox: 0.305177 loss_dfl: 0.189726 loss: 1.327610 eta: 17:01:21 batch_cost: 2.8542 data_cost: 0.0023 ips: 28.0290 images/s [10/16 12:24:21] ppdet.engine INFO: Epoch: [240] [ 80/366] learning_rate: 0.037928 loss_vfl: 0.841341 loss_bbox: 0.297666 loss_dfl: 0.185531 loss: 1.313664 eta: 17:00:25 batch_cost: 2.7824 data_cost: 0.0023 ips: 28.7521 images/s [10/16 12:25:19] ppdet.engine INFO: Epoch: [240] [100/366] learning_rate: 0.037861 loss_vfl: 0.835624 loss_bbox: 0.290149 loss_dfl: 0.181611 loss: 1.315116 eta: 16:59:28 batch_cost: 2.7639 data_cost: 0.0017 ips: 28.9451 images/s [10/16 12:26:18] ppdet.engine INFO: Epoch: [240] [120/366] learning_rate: 0.037794 loss_vfl: 0.820424 loss_bbox: 0.294262 loss_dfl: 0.190703 loss: 1.301694 eta: 16:58:32 batch_cost: 2.7839 data_cost: 0.0016 ips: 28.7367 images/s [10/16 12:27:16] ppdet.engine INFO: Epoch: [240] [140/366] learning_rate: 0.037727 loss_vfl: 0.825504 loss_bbox: 0.315634 loss_dfl: 0.195234 loss: 1.340123 eta: 16:57:36 batch_cost: 2.7441 data_cost: 0.0019 ips: 29.1537 images/s [10/16 12:28:12] ppdet.engine INFO: Epoch: [240] [160/366] learning_rate: 0.037660 loss_vfl: 0.829407 loss_bbox: 0.299819 loss_dfl: 0.191126 loss: 1.309079 eta: 16:56:40 batch_cost: 2.6913 data_cost: 0.0016 ips: 29.7249 images/s [10/16 12:29:10] ppdet.engine INFO: Epoch: [240] [180/366] learning_rate: 0.037593 loss_vfl: 0.837978 loss_bbox: 0.288073 loss_dfl: 0.184412 loss: 1.315994 eta: 16:55:43 batch_cost: 2.7320 data_cost: 0.0019 ips: 29.2823 images/s [10/16 12:30:09] ppdet.engine INFO: Epoch: [240] [200/366] learning_rate: 0.037527 loss_vfl: 0.836158 loss_bbox: 0.318510 loss_dfl: 0.202376 loss: 1.356499 eta: 16:54:47 batch_cost: 2.7911 data_cost: 0.0016 ips: 28.6628 images/s [10/16 12:31:07] ppdet.engine INFO: Epoch: [240] [220/366] learning_rate: 0.037460 loss_vfl: 0.824597 loss_bbox: 0.299028 loss_dfl: 0.196268 loss: 1.340501 eta: 16:53:51 batch_cost: 2.7525 data_cost: 0.0017 ips: 29.0644 images/s [10/16 12:32:06] ppdet.engine INFO: Epoch: [240] [240/366] learning_rate: 0.037393 loss_vfl: 0.836990 loss_bbox: 0.307217 loss_dfl: 0.190002 loss: 1.313716 eta: 16:52:55 batch_cost: 2.8120 data_cost: 0.0017 ips: 28.4499 images/s [10/16 12:33:04] ppdet.engine INFO: Epoch: [240] [260/366] learning_rate: 0.037327 loss_vfl: 0.831768 loss_bbox: 0.294971 loss_dfl: 0.189802 loss: 1.323401 eta: 16:51:59 batch_cost: 2.7428 data_cost: 0.0028 ips: 29.1674 images/s [10/16 12:34:02] ppdet.engine INFO: Epoch: [240] [280/366] learning_rate: 0.037260 loss_vfl: 0.830629 loss_bbox: 0.283688 loss_dfl: 0.186551 loss: 1.321239 eta: 16:51:03 batch_cost: 2.7441 data_cost: 0.0017 ips: 29.1531 images/s [10/16 12:35:00] ppdet.engine INFO: Epoch: [240] [300/366] learning_rate: 0.037194 loss_vfl: 0.832838 loss_bbox: 0.299600 loss_dfl: 0.189586 loss: 1.330880 eta: 16:50:07 batch_cost: 2.7554 data_cost: 0.0022 ips: 29.0336 images/s [10/16 12:35:58] ppdet.engine INFO: Epoch: [240] [320/366] learning_rate: 0.037127 loss_vfl: 0.834779 loss_bbox: 0.293068 loss_dfl: 0.184498 loss: 1.321119 eta: 16:49:10 batch_cost: 2.7489 data_cost: 0.0016 ips: 29.1026 images/s [10/16 12:36:57] ppdet.engine INFO: Epoch: [240] [340/366] learning_rate: 0.037061 loss_vfl: 0.837980 loss_bbox: 0.314440 loss_dfl: 0.196565 loss: 1.348754 eta: 16:48:14 batch_cost: 2.7920 data_cost: 0.0022 ips: 28.6531 images/s [10/16 12:37:50] ppdet.engine INFO: Epoch: [240] [360/366] learning_rate: 0.036994 loss_vfl: 0.849997 loss_bbox: 0.273094 loss_dfl: 0.186067 loss: 1.309975 eta: 16:47:17 batch_cost: 2.5106 data_cost: 0.0016 ips: 31.8651 images/s [10/16 12:38:31] ppdet.engine INFO: Epoch: [241] [ 0/366] learning_rate: 0.036974 loss_vfl: 0.843812 loss_bbox: 0.282430 loss_dfl: 0.192076 loss: 1.315756 eta: 16:47:05 batch_cost: 3.4898 data_cost: 0.7577 ips: 22.9237 images/s [10/16 12:39:30] ppdet.engine INFO: Epoch: [241] [ 20/366] learning_rate: 0.036908 loss_vfl: 0.851526 loss_bbox: 0.287781 loss_dfl: 0.183049 loss: 1.324077 eta: 16:46:09 batch_cost: 2.8114 data_cost: 0.0017 ips: 28.4556 images/s [10/16 12:40:29] ppdet.engine INFO: Epoch: [241] [ 40/366] learning_rate: 0.036842 loss_vfl: 0.833163 loss_bbox: 0.292615 loss_dfl: 0.187432 loss: 1.313757 eta: 16:45:13 batch_cost: 2.7820 data_cost: 0.0024 ips: 28.7563 images/s [10/16 12:41:28] ppdet.engine INFO: Epoch: [241] [ 60/366] learning_rate: 0.036776 loss_vfl: 0.833964 loss_bbox: 0.294036 loss_dfl: 0.181747 loss: 1.304156 eta: 16:44:17 batch_cost: 2.7894 data_cost: 0.0031 ips: 28.6800 images/s [10/16 12:42:28] ppdet.engine INFO: Epoch: [241] [ 80/366] learning_rate: 0.036710 loss_vfl: 0.826296 loss_bbox: 0.297529 loss_dfl: 0.190163 loss: 1.316383 eta: 16:43:21 batch_cost: 2.8505 data_cost: 0.0023 ips: 28.0655 images/s [10/16 12:43:28] ppdet.engine INFO: Epoch: [241] [100/366] learning_rate: 0.036644 loss_vfl: 0.824880 loss_bbox: 0.292048 loss_dfl: 0.185239 loss: 1.305068 eta: 16:42:26 batch_cost: 2.8179 data_cost: 0.0023 ips: 28.3903 images/s [10/16 12:44:27] ppdet.engine INFO: Epoch: [241] [120/366] learning_rate: 0.036578 loss_vfl: 0.824383 loss_bbox: 0.305571 loss_dfl: 0.195633 loss: 1.353714 eta: 16:41:30 batch_cost: 2.8231 data_cost: 0.0024 ips: 28.3373 images/s [10/16 12:45:27] ppdet.engine INFO: Epoch: [241] [140/366] learning_rate: 0.036512 loss_vfl: 0.833730 loss_bbox: 0.300975 loss_dfl: 0.185919 loss: 1.326378 eta: 16:40:34 batch_cost: 2.8251 data_cost: 0.0016 ips: 28.3179 images/s [10/16 12:46:25] ppdet.engine INFO: Epoch: [241] [160/366] learning_rate: 0.036446 loss_vfl: 0.834168 loss_bbox: 0.292235 loss_dfl: 0.188403 loss: 1.327488 eta: 16:39:38 batch_cost: 2.7777 data_cost: 0.0016 ips: 28.8010 images/s [10/16 12:47:24] ppdet.engine INFO: Epoch: [241] [180/366] learning_rate: 0.036380 loss_vfl: 0.838058 loss_bbox: 0.295919 loss_dfl: 0.192622 loss: 1.330392 eta: 16:38:42 batch_cost: 2.7887 data_cost: 0.0024 ips: 28.6876 images/s [10/16 12:48:23] ppdet.engine INFO: Epoch: [241] [200/366] learning_rate: 0.036314 loss_vfl: 0.835655 loss_bbox: 0.293557 loss_dfl: 0.191446 loss: 1.327388 eta: 16:37:46 batch_cost: 2.7758 data_cost: 0.0018 ips: 28.8210 images/s [10/16 12:49:21] ppdet.engine INFO: Epoch: [241] [220/366] learning_rate: 0.036248 loss_vfl: 0.849259 loss_bbox: 0.308703 loss_dfl: 0.197339 loss: 1.337673 eta: 16:36:50 batch_cost: 2.7586 data_cost: 0.0016 ips: 28.9998 images/s [10/16 12:50:19] ppdet.engine INFO: Epoch: [241] [240/366] learning_rate: 0.036183 loss_vfl: 0.840225 loss_bbox: 0.270394 loss_dfl: 0.174793 loss: 1.292357 eta: 16:35:53 batch_cost: 2.7599 data_cost: 0.0022 ips: 28.9870 images/s [10/16 12:51:18] ppdet.engine INFO: Epoch: [241] [260/366] learning_rate: 0.036117 loss_vfl: 0.839863 loss_bbox: 0.303512 loss_dfl: 0.190617 loss: 1.326503 eta: 16:34:58 batch_cost: 2.8277 data_cost: 0.0025 ips: 28.2917 images/s [10/16 12:52:18] ppdet.engine INFO: Epoch: [241] [280/366] learning_rate: 0.036052 loss_vfl: 0.837481 loss_bbox: 0.281851 loss_dfl: 0.184796 loss: 1.294218 eta: 16:34:02 batch_cost: 2.8409 data_cost: 0.0023 ips: 28.1601 images/s [10/16 12:53:17] ppdet.engine INFO: Epoch: [241] [300/366] learning_rate: 0.035986 loss_vfl: 0.818250 loss_bbox: 0.306659 loss_dfl: 0.192689 loss: 1.330539 eta: 16:33:06 batch_cost: 2.8054 data_cost: 0.0016 ips: 28.5169 images/s [10/16 12:54:16] ppdet.engine INFO: Epoch: [241] [320/366] learning_rate: 0.035921 loss_vfl: 0.827632 loss_bbox: 0.297936 loss_dfl: 0.189953 loss: 1.329924 eta: 16:32:10 batch_cost: 2.7676 data_cost: 0.0022 ips: 28.9057 images/s [10/16 12:55:14] ppdet.engine INFO: Epoch: [241] [340/366] learning_rate: 0.035855 loss_vfl: 0.831546 loss_bbox: 0.298484 loss_dfl: 0.189443 loss: 1.335504 eta: 16:31:14 batch_cost: 2.7779 data_cost: 0.0016 ips: 28.7988 images/s [10/16 12:56:07] ppdet.engine INFO: Epoch: [241] [360/366] learning_rate: 0.035790 loss_vfl: 0.852110 loss_bbox: 0.278560 loss_dfl: 0.179966 loss: 1.310711 eta: 16:30:16 batch_cost: 2.5072 data_cost: 0.0017 ips: 31.9086 images/s [10/16 12:56:45] ppdet.engine INFO: Epoch: [242] [ 0/366] learning_rate: 0.035770 loss_vfl: 0.852110 loss_bbox: 0.292806 loss_dfl: 0.184676 loss: 1.322364 eta: 16:30:04 batch_cost: 3.3246 data_cost: 0.4435 ips: 24.0628 images/s [10/16 12:57:47] ppdet.engine INFO: Epoch: [242] [ 20/366] learning_rate: 0.035705 loss_vfl: 0.825824 loss_bbox: 0.301339 loss_dfl: 0.189519 loss: 1.312651 eta: 16:29:08 batch_cost: 2.9385 data_cost: 0.0017 ips: 27.2249 images/s [10/16 12:58:46] ppdet.engine INFO: Epoch: [242] [ 40/366] learning_rate: 0.035640 loss_vfl: 0.832694 loss_bbox: 0.297119 loss_dfl: 0.186753 loss: 1.334562 eta: 16:28:12 batch_cost: 2.8115 data_cost: 0.0017 ips: 28.4543 images/s [10/16 12:59:46] ppdet.engine INFO: Epoch: [242] [ 60/366] learning_rate: 0.035574 loss_vfl: 0.827130 loss_bbox: 0.288693 loss_dfl: 0.174033 loss: 1.293124 eta: 16:27:17 batch_cost: 2.8483 data_cost: 0.0077 ips: 28.0870 images/s [10/16 13:00:45] ppdet.engine INFO: Epoch: [242] [ 80/366] learning_rate: 0.035509 loss_vfl: 0.834372 loss_bbox: 0.296546 loss_dfl: 0.183108 loss: 1.319107 eta: 16:26:21 batch_cost: 2.8031 data_cost: 0.0023 ips: 28.5403 images/s [10/16 13:01:43] ppdet.engine INFO: Epoch: [242] [100/366] learning_rate: 0.035444 loss_vfl: 0.827651 loss_bbox: 0.309169 loss_dfl: 0.199124 loss: 1.327507 eta: 16:25:25 batch_cost: 2.7748 data_cost: 0.0017 ips: 28.8306 images/s [10/16 13:02:42] ppdet.engine INFO: Epoch: [242] [120/366] learning_rate: 0.035379 loss_vfl: 0.825807 loss_bbox: 0.289622 loss_dfl: 0.187829 loss: 1.303199 eta: 16:24:29 batch_cost: 2.7798 data_cost: 0.0017 ips: 28.7792 images/s [10/16 13:03:39] ppdet.engine INFO: Epoch: [242] [140/366] learning_rate: 0.035314 loss_vfl: 0.824495 loss_bbox: 0.288924 loss_dfl: 0.188258 loss: 1.301623 eta: 16:23:32 batch_cost: 2.7073 data_cost: 0.0017 ips: 29.5493 images/s [10/16 13:04:38] ppdet.engine INFO: Epoch: [242] [160/366] learning_rate: 0.035249 loss_vfl: 0.824647 loss_bbox: 0.290936 loss_dfl: 0.187199 loss: 1.308597 eta: 16:22:36 batch_cost: 2.7926 data_cost: 0.0023 ips: 28.6476 images/s [10/16 13:05:36] ppdet.engine INFO: Epoch: [242] [180/366] learning_rate: 0.035184 loss_vfl: 0.851082 loss_bbox: 0.301159 loss_dfl: 0.192756 loss: 1.347621 eta: 16:21:40 batch_cost: 2.7505 data_cost: 0.0017 ips: 29.0855 images/s [10/16 13:06:35] ppdet.engine INFO: Epoch: [242] [200/366] learning_rate: 0.035120 loss_vfl: 0.831195 loss_bbox: 0.317358 loss_dfl: 0.197851 loss: 1.345847 eta: 16:20:44 batch_cost: 2.7999 data_cost: 0.0016 ips: 28.5727 images/s [10/16 13:07:33] ppdet.engine INFO: Epoch: [242] [220/366] learning_rate: 0.035055 loss_vfl: 0.819256 loss_bbox: 0.307416 loss_dfl: 0.192388 loss: 1.328095 eta: 16:19:48 batch_cost: 2.7234 data_cost: 0.0016 ips: 29.3751 images/s [10/16 13:08:31] ppdet.engine INFO: Epoch: [242] [240/366] learning_rate: 0.034990 loss_vfl: 0.833329 loss_bbox: 0.313936 loss_dfl: 0.192116 loss: 1.344885 eta: 16:18:52 batch_cost: 2.7540 data_cost: 0.0016 ips: 29.0482 images/s [10/16 13:09:30] ppdet.engine INFO: Epoch: [242] [260/366] learning_rate: 0.034926 loss_vfl: 0.826867 loss_bbox: 0.299551 loss_dfl: 0.194397 loss: 1.314906 eta: 16:17:56 batch_cost: 2.7953 data_cost: 0.0024 ips: 28.6195 images/s [10/16 13:10:28] ppdet.engine INFO: Epoch: [242] [280/366] learning_rate: 0.034861 loss_vfl: 0.822242 loss_bbox: 0.314979 loss_dfl: 0.193683 loss: 1.331769 eta: 16:16:59 batch_cost: 2.7461 data_cost: 0.0047 ips: 29.1325 images/s [10/16 13:11:26] ppdet.engine INFO: Epoch: [242] [300/366] learning_rate: 0.034796 loss_vfl: 0.848089 loss_bbox: 0.291981 loss_dfl: 0.183468 loss: 1.340935 eta: 16:16:03 batch_cost: 2.7724 data_cost: 0.0029 ips: 28.8557 images/s [10/16 13:12:26] ppdet.engine INFO: Epoch: [242] [320/366] learning_rate: 0.034732 loss_vfl: 0.842419 loss_bbox: 0.288098 loss_dfl: 0.190574 loss: 1.324007 eta: 16:15:08 batch_cost: 2.8473 data_cost: 0.0016 ips: 28.0969 images/s [10/16 13:13:25] ppdet.engine INFO: Epoch: [242] [340/366] learning_rate: 0.034668 loss_vfl: 0.822236 loss_bbox: 0.288147 loss_dfl: 0.189121 loss: 1.289735 eta: 16:14:12 batch_cost: 2.7898 data_cost: 0.0017 ips: 28.6762 images/s [10/16 13:14:19] ppdet.engine INFO: Epoch: [242] [360/366] learning_rate: 0.034603 loss_vfl: 0.836895 loss_bbox: 0.304607 loss_dfl: 0.192758 loss: 1.332511 eta: 16:13:14 batch_cost: 2.5484 data_cost: 0.0016 ips: 31.3921 images/s [10/16 13:14:58] ppdet.engine INFO: Epoch: [243] [ 0/366] learning_rate: 0.034584 loss_vfl: 0.819933 loss_bbox: 0.306223 loss_dfl: 0.190854 loss: 1.328303 eta: 16:13:02 batch_cost: 3.4251 data_cost: 0.4237 ips: 23.3568 images/s [10/16 13:16:01] ppdet.engine INFO: Epoch: [243] [ 20/366] learning_rate: 0.034520 loss_vfl: 0.834564 loss_bbox: 0.296996 loss_dfl: 0.185703 loss: 1.320778 eta: 16:12:06 batch_cost: 2.9512 data_cost: 0.0023 ips: 27.1075 images/s [10/16 13:17:00] ppdet.engine INFO: Epoch: [243] [ 40/366] learning_rate: 0.034455 loss_vfl: 0.837490 loss_bbox: 0.292905 loss_dfl: 0.188112 loss: 1.307329 eta: 16:11:11 batch_cost: 2.8356 data_cost: 0.0017 ips: 28.2124 images/s [10/16 13:18:00] ppdet.engine INFO: Epoch: [243] [ 60/366] learning_rate: 0.034391 loss_vfl: 0.837218 loss_bbox: 0.298851 loss_dfl: 0.190840 loss: 1.318936 eta: 16:10:15 batch_cost: 2.8105 data_cost: 0.0047 ips: 28.4647 images/s [10/16 13:18:59] ppdet.engine INFO: Epoch: [243] [ 80/366] learning_rate: 0.034327 loss_vfl: 0.823426 loss_bbox: 0.286189 loss_dfl: 0.183407 loss: 1.298761 eta: 16:09:19 batch_cost: 2.7984 data_cost: 0.0023 ips: 28.5873 images/s [10/16 13:19:58] ppdet.engine INFO: Epoch: [243] [100/366] learning_rate: 0.034263 loss_vfl: 0.825435 loss_bbox: 0.298630 loss_dfl: 0.187138 loss: 1.312212 eta: 16:08:23 batch_cost: 2.8206 data_cost: 0.0016 ips: 28.3630 images/s [10/16 13:20:59] ppdet.engine INFO: Epoch: [243] [120/366] learning_rate: 0.034199 loss_vfl: 0.835045 loss_bbox: 0.295759 loss_dfl: 0.186040 loss: 1.324826 eta: 16:07:27 batch_cost: 2.9062 data_cost: 0.0030 ips: 27.5276 images/s [10/16 13:21:58] ppdet.engine INFO: Epoch: [243] [140/366] learning_rate: 0.034135 loss_vfl: 0.819797 loss_bbox: 0.278147 loss_dfl: 0.177586 loss: 1.278832 eta: 16:06:31 batch_cost: 2.7847 data_cost: 0.0037 ips: 28.7280 images/s [10/16 13:22:58] ppdet.engine INFO: Epoch: [243] [160/366] learning_rate: 0.034071 loss_vfl: 0.848586 loss_bbox: 0.272006 loss_dfl: 0.179085 loss: 1.296590 eta: 16:05:36 batch_cost: 2.8274 data_cost: 0.0023 ips: 28.2942 images/s [10/16 13:23:57] ppdet.engine INFO: Epoch: [243] [180/366] learning_rate: 0.034007 loss_vfl: 0.838510 loss_bbox: 0.283114 loss_dfl: 0.186171 loss: 1.317083 eta: 16:04:40 batch_cost: 2.8297 data_cost: 0.0019 ips: 28.2717 images/s [10/16 13:24:58] ppdet.engine INFO: Epoch: [243] [200/366] learning_rate: 0.033943 loss_vfl: 0.846909 loss_bbox: 0.273883 loss_dfl: 0.182582 loss: 1.294773 eta: 16:03:44 batch_cost: 2.8574 data_cost: 0.0017 ips: 27.9977 images/s [10/16 13:25:55] ppdet.engine INFO: Epoch: [243] [220/366] learning_rate: 0.033880 loss_vfl: 0.841109 loss_bbox: 0.310141 loss_dfl: 0.196577 loss: 1.334058 eta: 16:02:48 batch_cost: 2.7373 data_cost: 0.0016 ips: 29.2262 images/s [10/16 13:26:54] ppdet.engine INFO: Epoch: [243] [240/366] learning_rate: 0.033816 loss_vfl: 0.831790 loss_bbox: 0.306671 loss_dfl: 0.192102 loss: 1.344546 eta: 16:01:52 batch_cost: 2.7928 data_cost: 0.0022 ips: 28.6448 images/s [10/16 13:27:52] ppdet.engine INFO: Epoch: [243] [260/366] learning_rate: 0.033752 loss_vfl: 0.829398 loss_bbox: 0.294349 loss_dfl: 0.190313 loss: 1.313632 eta: 16:00:56 batch_cost: 2.7687 data_cost: 0.0016 ips: 28.8948 images/s [10/16 13:28:51] ppdet.engine INFO: Epoch: [243] [280/366] learning_rate: 0.033689 loss_vfl: 0.831873 loss_bbox: 0.300566 loss_dfl: 0.184885 loss: 1.324386 eta: 16:00:00 batch_cost: 2.7884 data_cost: 0.0017 ips: 28.6899 images/s [10/16 13:29:50] ppdet.engine INFO: Epoch: [243] [300/366] learning_rate: 0.033625 loss_vfl: 0.834138 loss_bbox: 0.305719 loss_dfl: 0.191656 loss: 1.330929 eta: 15:59:04 batch_cost: 2.7836 data_cost: 0.0017 ips: 28.7401 images/s [10/16 13:30:50] ppdet.engine INFO: Epoch: [243] [320/366] learning_rate: 0.033562 loss_vfl: 0.843901 loss_bbox: 0.302201 loss_dfl: 0.197906 loss: 1.320399 eta: 15:58:08 batch_cost: 2.8417 data_cost: 0.0016 ips: 28.1517 images/s [10/16 13:31:49] ppdet.engine INFO: Epoch: [243] [340/366] learning_rate: 0.033498 loss_vfl: 0.826156 loss_bbox: 0.300259 loss_dfl: 0.185718 loss: 1.321693 eta: 15:57:12 batch_cost: 2.8355 data_cost: 0.0025 ips: 28.2138 images/s [10/16 13:32:44] ppdet.engine INFO: Epoch: [243] [360/366] learning_rate: 0.033435 loss_vfl: 0.843721 loss_bbox: 0.288962 loss_dfl: 0.184611 loss: 1.318831 eta: 15:56:15 batch_cost: 2.5882 data_cost: 0.0017 ips: 30.9099 images/s [10/16 13:33:26] ppdet.engine INFO: Epoch: [244] [ 0/366] learning_rate: 0.033416 loss_vfl: 0.840582 loss_bbox: 0.285704 loss_dfl: 0.184611 loss: 1.318831 eta: 15:56:03 batch_cost: 3.5837 data_cost: 0.5030 ips: 22.3233 images/s [10/16 13:34:27] ppdet.engine INFO: Epoch: [244] [ 20/366] learning_rate: 0.033352 loss_vfl: 0.826759 loss_bbox: 0.290345 loss_dfl: 0.189881 loss: 1.312697 eta: 15:55:07 batch_cost: 2.8766 data_cost: 0.0018 ips: 27.8102 images/s [10/16 13:35:26] ppdet.engine INFO: Epoch: [244] [ 40/366] learning_rate: 0.033289 loss_vfl: 0.826422 loss_bbox: 0.302174 loss_dfl: 0.188468 loss: 1.323101 eta: 15:54:11 batch_cost: 2.8120 data_cost: 0.0017 ips: 28.4493 images/s [10/16 13:36:24] ppdet.engine INFO: Epoch: [244] [ 60/366] learning_rate: 0.033226 loss_vfl: 0.837230 loss_bbox: 0.297942 loss_dfl: 0.188805 loss: 1.322217 eta: 15:53:15 batch_cost: 2.7604 data_cost: 0.0023 ips: 28.9818 images/s [10/16 13:37:23] ppdet.engine INFO: Epoch: [244] [ 80/366] learning_rate: 0.033163 loss_vfl: 0.823194 loss_bbox: 0.313517 loss_dfl: 0.197691 loss: 1.327234 eta: 15:52:19 batch_cost: 2.7844 data_cost: 0.0017 ips: 28.7317 images/s [10/16 13:38:23] ppdet.engine INFO: Epoch: [244] [100/366] learning_rate: 0.033100 loss_vfl: 0.830353 loss_bbox: 0.296929 loss_dfl: 0.189402 loss: 1.328959 eta: 15:51:23 batch_cost: 2.8297 data_cost: 0.0016 ips: 28.2715 images/s [10/16 13:39:23] ppdet.engine INFO: Epoch: [244] [120/366] learning_rate: 0.033037 loss_vfl: 0.828640 loss_bbox: 0.298430 loss_dfl: 0.189923 loss: 1.312681 eta: 15:50:28 batch_cost: 2.8725 data_cost: 0.0028 ips: 27.8508 images/s [10/16 13:40:22] ppdet.engine INFO: Epoch: [244] [140/366] learning_rate: 0.032974 loss_vfl: 0.827380 loss_bbox: 0.281207 loss_dfl: 0.184761 loss: 1.289376 eta: 15:49:32 batch_cost: 2.8097 data_cost: 0.0017 ips: 28.4729 images/s [10/16 13:41:23] ppdet.engine INFO: Epoch: [244] [160/366] learning_rate: 0.032911 loss_vfl: 0.825686 loss_bbox: 0.287038 loss_dfl: 0.191727 loss: 1.302414 eta: 15:48:36 batch_cost: 2.9042 data_cost: 0.0018 ips: 27.5464 images/s [10/16 13:42:22] ppdet.engine INFO: Epoch: [244] [180/366] learning_rate: 0.032848 loss_vfl: 0.816029 loss_bbox: 0.306014 loss_dfl: 0.197035 loss: 1.321440 eta: 15:47:40 batch_cost: 2.7684 data_cost: 0.0017 ips: 28.8974 images/s [10/16 13:43:21] ppdet.engine INFO: Epoch: [244] [200/366] learning_rate: 0.032785 loss_vfl: 0.842983 loss_bbox: 0.281410 loss_dfl: 0.188140 loss: 1.313148 eta: 15:46:44 batch_cost: 2.8242 data_cost: 0.0017 ips: 28.3267 images/s [10/16 13:44:19] ppdet.engine INFO: Epoch: [244] [220/366] learning_rate: 0.032722 loss_vfl: 0.825038 loss_bbox: 0.298384 loss_dfl: 0.187243 loss: 1.311376 eta: 15:45:48 batch_cost: 2.7687 data_cost: 0.0017 ips: 28.8946 images/s [10/16 13:45:18] ppdet.engine INFO: Epoch: [244] [240/366] learning_rate: 0.032660 loss_vfl: 0.840997 loss_bbox: 0.285683 loss_dfl: 0.184698 loss: 1.313980 eta: 15:44:52 batch_cost: 2.7955 data_cost: 0.0023 ips: 28.6171 images/s [10/16 13:46:18] ppdet.engine INFO: Epoch: [244] [260/366] learning_rate: 0.032597 loss_vfl: 0.830353 loss_bbox: 0.289919 loss_dfl: 0.188934 loss: 1.295010 eta: 15:43:56 batch_cost: 2.8154 data_cost: 0.0039 ips: 28.4156 images/s [10/16 13:47:17] ppdet.engine INFO: Epoch: [244] [280/366] learning_rate: 0.032534 loss_vfl: 0.838781 loss_bbox: 0.290310 loss_dfl: 0.183526 loss: 1.308528 eta: 15:43:00 batch_cost: 2.8171 data_cost: 0.0017 ips: 28.3981 images/s [10/16 13:48:16] ppdet.engine INFO: Epoch: [244] [300/366] learning_rate: 0.032472 loss_vfl: 0.828657 loss_bbox: 0.305639 loss_dfl: 0.195155 loss: 1.321546 eta: 15:42:04 batch_cost: 2.7605 data_cost: 0.0026 ips: 28.9798 images/s [10/16 13:49:13] ppdet.engine INFO: Epoch: [244] [320/366] learning_rate: 0.032409 loss_vfl: 0.832638 loss_bbox: 0.292735 loss_dfl: 0.193521 loss: 1.324864 eta: 15:41:08 batch_cost: 2.7217 data_cost: 0.0025 ips: 29.3938 images/s [10/16 13:50:12] ppdet.engine INFO: Epoch: [244] [340/366] learning_rate: 0.032347 loss_vfl: 0.830989 loss_bbox: 0.303743 loss_dfl: 0.196314 loss: 1.329258 eta: 15:40:12 batch_cost: 2.8016 data_cost: 0.0017 ips: 28.5547 images/s [10/16 13:51:10] ppdet.engine INFO: Epoch: [244] [360/366] learning_rate: 0.032285 loss_vfl: 0.839058 loss_bbox: 0.300265 loss_dfl: 0.195755 loss: 1.334644 eta: 15:39:16 batch_cost: 2.7462 data_cost: 0.0016 ips: 29.1309 images/s [10/16 13:51:49] ppdet.engine INFO: Epoch: [245] [ 0/366] learning_rate: 0.032266 loss_vfl: 0.833487 loss_bbox: 0.304556 loss_dfl: 0.198849 loss: 1.336208 eta: 15:39:03 batch_cost: 3.6142 data_cost: 0.4395 ips: 22.1348 images/s [10/16 13:52:50] ppdet.engine INFO: Epoch: [245] [ 20/366] learning_rate: 0.032204 loss_vfl: 0.830975 loss_bbox: 0.282407 loss_dfl: 0.183848 loss: 1.284878 eta: 15:38:07 batch_cost: 2.8895 data_cost: 0.0017 ips: 27.6861 images/s [10/16 13:53:49] ppdet.engine INFO: Epoch: [245] [ 40/366] learning_rate: 0.032141 loss_vfl: 0.832174 loss_bbox: 0.290689 loss_dfl: 0.189234 loss: 1.323146 eta: 15:37:11 batch_cost: 2.7869 data_cost: 0.0016 ips: 28.7054 images/s [10/16 13:54:49] ppdet.engine INFO: Epoch: [245] [ 60/366] learning_rate: 0.032079 loss_vfl: 0.824492 loss_bbox: 0.293818 loss_dfl: 0.185544 loss: 1.306438 eta: 15:36:15 batch_cost: 2.8365 data_cost: 0.0020 ips: 28.2039 images/s [10/16 13:55:48] ppdet.engine INFO: Epoch: [245] [ 80/366] learning_rate: 0.032017 loss_vfl: 0.821822 loss_bbox: 0.287775 loss_dfl: 0.186462 loss: 1.308314 eta: 15:35:20 batch_cost: 2.8101 data_cost: 0.0016 ips: 28.4692 images/s [10/16 13:56:47] ppdet.engine INFO: Epoch: [245] [100/366] learning_rate: 0.031955 loss_vfl: 0.819938 loss_bbox: 0.294919 loss_dfl: 0.187184 loss: 1.304545 eta: 15:34:24 batch_cost: 2.7865 data_cost: 0.0017 ips: 28.7098 images/s [10/16 13:57:45] ppdet.engine INFO: Epoch: [245] [120/366] learning_rate: 0.031893 loss_vfl: 0.835804 loss_bbox: 0.283192 loss_dfl: 0.179906 loss: 1.300560 eta: 15:33:28 batch_cost: 2.7994 data_cost: 0.0016 ips: 28.5772 images/s [10/16 13:58:44] ppdet.engine INFO: Epoch: [245] [140/366] learning_rate: 0.031831 loss_vfl: 0.835023 loss_bbox: 0.296782 loss_dfl: 0.188069 loss: 1.312066 eta: 15:32:31 batch_cost: 2.7796 data_cost: 0.0016 ips: 28.7808 images/s [10/16 13:59:43] ppdet.engine INFO: Epoch: [245] [160/366] learning_rate: 0.031769 loss_vfl: 0.825250 loss_bbox: 0.284145 loss_dfl: 0.188901 loss: 1.302320 eta: 15:31:36 batch_cost: 2.8223 data_cost: 0.0017 ips: 28.3455 images/s [10/16 14:00:42] ppdet.engine INFO: Epoch: [245] [180/366] learning_rate: 0.031707 loss_vfl: 0.822348 loss_bbox: 0.294105 loss_dfl: 0.191848 loss: 1.311620 eta: 15:30:40 batch_cost: 2.7999 data_cost: 0.0016 ips: 28.5728 images/s [10/16 14:01:40] ppdet.engine INFO: Epoch: [245] [200/366] learning_rate: 0.031645 loss_vfl: 0.823687 loss_bbox: 0.287233 loss_dfl: 0.184148 loss: 1.297765 eta: 15:29:43 batch_cost: 2.7109 data_cost: 0.0017 ips: 29.5110 images/s [10/16 14:02:37] ppdet.engine INFO: Epoch: [245] [220/366] learning_rate: 0.031584 loss_vfl: 0.826773 loss_bbox: 0.307327 loss_dfl: 0.201305 loss: 1.340240 eta: 15:28:47 batch_cost: 2.7253 data_cost: 0.0017 ips: 29.3540 images/s [10/16 14:03:36] ppdet.engine INFO: Epoch: [245] [240/366] learning_rate: 0.031522 loss_vfl: 0.827670 loss_bbox: 0.305575 loss_dfl: 0.190665 loss: 1.327031 eta: 15:27:51 batch_cost: 2.7900 data_cost: 0.0017 ips: 28.6739 images/s [10/16 14:04:34] ppdet.engine INFO: Epoch: [245] [260/366] learning_rate: 0.031460 loss_vfl: 0.833159 loss_bbox: 0.295894 loss_dfl: 0.183435 loss: 1.305790 eta: 15:26:55 batch_cost: 2.7744 data_cost: 0.0016 ips: 28.8354 images/s [10/16 14:05:33] ppdet.engine INFO: Epoch: [245] [280/366] learning_rate: 0.031399 loss_vfl: 0.828392 loss_bbox: 0.290117 loss_dfl: 0.185911 loss: 1.309070 eta: 15:25:59 batch_cost: 2.7814 data_cost: 0.0016 ips: 28.7624 images/s [10/16 14:06:32] ppdet.engine INFO: Epoch: [245] [300/366] learning_rate: 0.031337 loss_vfl: 0.827575 loss_bbox: 0.290214 loss_dfl: 0.184725 loss: 1.303477 eta: 15:25:03 batch_cost: 2.8031 data_cost: 0.0066 ips: 28.5395 images/s [10/16 14:07:32] ppdet.engine INFO: Epoch: [245] [320/366] learning_rate: 0.031276 loss_vfl: 0.838759 loss_bbox: 0.308979 loss_dfl: 0.192210 loss: 1.338875 eta: 15:24:07 batch_cost: 2.8430 data_cost: 0.0029 ips: 28.1396 images/s [10/16 14:08:31] ppdet.engine INFO: Epoch: [245] [340/366] learning_rate: 0.031214 loss_vfl: 0.829060 loss_bbox: 0.309705 loss_dfl: 0.190588 loss: 1.336001 eta: 15:23:11 batch_cost: 2.8372 data_cost: 0.0023 ips: 28.1965 images/s [10/16 14:09:25] ppdet.engine INFO: Epoch: [245] [360/366] learning_rate: 0.031153 loss_vfl: 0.841498 loss_bbox: 0.287689 loss_dfl: 0.188818 loss: 1.312833 eta: 15:22:14 batch_cost: 2.5332 data_cost: 0.0016 ips: 31.5807 images/s [10/16 14:10:07] ppdet.engine INFO: Epoch: [246] [ 0/366] learning_rate: 0.031134 loss_vfl: 0.832887 loss_bbox: 0.282506 loss_dfl: 0.184834 loss: 1.304204 eta: 15:22:02 batch_cost: 3.5839 data_cost: 0.5320 ips: 22.3217 images/s [10/16 14:11:09] ppdet.engine INFO: Epoch: [246] [ 20/366] learning_rate: 0.031073 loss_vfl: 0.828032 loss_bbox: 0.285609 loss_dfl: 0.179454 loss: 1.303662 eta: 15:21:06 batch_cost: 2.8958 data_cost: 0.0026 ips: 27.6259 images/s [10/16 14:12:09] ppdet.engine INFO: Epoch: [246] [ 40/366] learning_rate: 0.031012 loss_vfl: 0.838572 loss_bbox: 0.272383 loss_dfl: 0.182430 loss: 1.284019 eta: 15:20:11 batch_cost: 2.8606 data_cost: 0.0020 ips: 27.9661 images/s [10/16 14:13:08] ppdet.engine INFO: Epoch: [246] [ 60/366] learning_rate: 0.030951 loss_vfl: 0.836339 loss_bbox: 0.286849 loss_dfl: 0.194122 loss: 1.302019 eta: 15:19:15 batch_cost: 2.8165 data_cost: 0.0023 ips: 28.4038 images/s [10/16 14:14:07] ppdet.engine INFO: Epoch: [246] [ 80/366] learning_rate: 0.030890 loss_vfl: 0.820017 loss_bbox: 0.297024 loss_dfl: 0.186100 loss: 1.314825 eta: 15:18:19 batch_cost: 2.7697 data_cost: 0.0023 ips: 28.8840 images/s [10/16 14:15:05] ppdet.engine INFO: Epoch: [246] [100/366] learning_rate: 0.030828 loss_vfl: 0.837401 loss_bbox: 0.303558 loss_dfl: 0.192042 loss: 1.321066 eta: 15:17:22 batch_cost: 2.7710 data_cost: 0.0016 ips: 28.8707 images/s [10/16 14:16:04] ppdet.engine INFO: Epoch: [246] [120/366] learning_rate: 0.030767 loss_vfl: 0.823316 loss_bbox: 0.294971 loss_dfl: 0.188056 loss: 1.304026 eta: 15:16:26 batch_cost: 2.8002 data_cost: 0.0016 ips: 28.5693 images/s [10/16 14:17:02] ppdet.engine INFO: Epoch: [246] [140/366] learning_rate: 0.030707 loss_vfl: 0.825970 loss_bbox: 0.298586 loss_dfl: 0.191187 loss: 1.316275 eta: 15:15:30 batch_cost: 2.7791 data_cost: 0.0022 ips: 28.7858 images/s [10/16 14:18:01] ppdet.engine INFO: Epoch: [246] [160/366] learning_rate: 0.030646 loss_vfl: 0.830307 loss_bbox: 0.284773 loss_dfl: 0.185445 loss: 1.292429 eta: 15:14:34 batch_cost: 2.7951 data_cost: 0.0016 ips: 28.6212 images/s [10/16 14:19:00] ppdet.engine INFO: Epoch: [246] [180/366] learning_rate: 0.030585 loss_vfl: 0.813754 loss_bbox: 0.286797 loss_dfl: 0.189526 loss: 1.308265 eta: 15:13:38 batch_cost: 2.7715 data_cost: 0.0017 ips: 28.8653 images/s [10/16 14:20:00] ppdet.engine INFO: Epoch: [246] [200/366] learning_rate: 0.030524 loss_vfl: 0.842777 loss_bbox: 0.297335 loss_dfl: 0.184263 loss: 1.306350 eta: 15:12:42 batch_cost: 2.8360 data_cost: 0.0017 ips: 28.2084 images/s [10/16 14:20:59] ppdet.engine INFO: Epoch: [246] [220/366] learning_rate: 0.030463 loss_vfl: 0.840848 loss_bbox: 0.293234 loss_dfl: 0.184852 loss: 1.329343 eta: 15:11:47 batch_cost: 2.8206 data_cost: 0.0016 ips: 28.3631 images/s [10/16 14:21:57] ppdet.engine INFO: Epoch: [246] [240/366] learning_rate: 0.030403 loss_vfl: 0.826608 loss_bbox: 0.299241 loss_dfl: 0.195007 loss: 1.340816 eta: 15:10:50 batch_cost: 2.7360 data_cost: 0.0016 ips: 29.2396 images/s [10/16 14:22:54] ppdet.engine INFO: Epoch: [246] [260/366] learning_rate: 0.030342 loss_vfl: 0.827681 loss_bbox: 0.311212 loss_dfl: 0.194691 loss: 1.331470 eta: 15:09:54 batch_cost: 2.6984 data_cost: 0.0016 ips: 29.6474 images/s [10/16 14:23:53] ppdet.engine INFO: Epoch: [246] [280/366] learning_rate: 0.030281 loss_vfl: 0.824377 loss_bbox: 0.281531 loss_dfl: 0.181461 loss: 1.284126 eta: 15:08:58 batch_cost: 2.7974 data_cost: 0.0017 ips: 28.5975 images/s [10/16 14:24:50] ppdet.engine INFO: Epoch: [246] [300/366] learning_rate: 0.030221 loss_vfl: 0.833021 loss_bbox: 0.313029 loss_dfl: 0.198363 loss: 1.347077 eta: 15:08:02 batch_cost: 2.7246 data_cost: 0.0017 ips: 29.3624 images/s [10/16 14:25:49] ppdet.engine INFO: Epoch: [246] [320/366] learning_rate: 0.030160 loss_vfl: 0.832584 loss_bbox: 0.294393 loss_dfl: 0.189969 loss: 1.317629 eta: 15:07:06 batch_cost: 2.8223 data_cost: 0.0017 ips: 28.3456 images/s [10/16 14:26:50] ppdet.engine INFO: Epoch: [246] [340/366] learning_rate: 0.030100 loss_vfl: 0.823220 loss_bbox: 0.292832 loss_dfl: 0.187493 loss: 1.312732 eta: 15:06:10 batch_cost: 2.8559 data_cost: 0.0017 ips: 28.0118 images/s [10/16 14:27:43] ppdet.engine INFO: Epoch: [246] [360/366] learning_rate: 0.030040 loss_vfl: 0.837410 loss_bbox: 0.278162 loss_dfl: 0.186346 loss: 1.316801 eta: 15:05:13 batch_cost: 2.5440 data_cost: 0.0016 ips: 31.4461 images/s [10/16 14:28:24] ppdet.engine INFO: Epoch: [247] [ 0/366] learning_rate: 0.030021 loss_vfl: 0.843246 loss_bbox: 0.278120 loss_dfl: 0.185845 loss: 1.328265 eta: 15:05:00 batch_cost: 3.5413 data_cost: 0.6739 ips: 22.5906 images/s [10/16 14:29:23] ppdet.engine INFO: Epoch: [247] [ 20/366] learning_rate: 0.029961 loss_vfl: 0.820906 loss_bbox: 0.303431 loss_dfl: 0.194069 loss: 1.321672 eta: 15:04:04 batch_cost: 2.7837 data_cost: 0.0017 ips: 28.7385 images/s [10/16 14:30:23] ppdet.engine INFO: Epoch: [247] [ 40/366] learning_rate: 0.029901 loss_vfl: 0.828430 loss_bbox: 0.304519 loss_dfl: 0.188991 loss: 1.311377 eta: 15:03:08 batch_cost: 2.8759 data_cost: 0.0016 ips: 27.8174 images/s [10/16 14:31:24] ppdet.engine INFO: Epoch: [247] [ 60/366] learning_rate: 0.029841 loss_vfl: 0.819642 loss_bbox: 0.312703 loss_dfl: 0.194874 loss: 1.332449 eta: 15:02:13 batch_cost: 2.8434 data_cost: 0.0017 ips: 28.1349 images/s [10/16 14:32:22] ppdet.engine INFO: Epoch: [247] [ 80/366] learning_rate: 0.029781 loss_vfl: 0.830406 loss_bbox: 0.301315 loss_dfl: 0.191194 loss: 1.336177 eta: 15:01:17 batch_cost: 2.8001 data_cost: 0.0016 ips: 28.5705 images/s [10/16 14:33:21] ppdet.engine INFO: Epoch: [247] [100/366] learning_rate: 0.029721 loss_vfl: 0.828231 loss_bbox: 0.299280 loss_dfl: 0.187848 loss: 1.309952 eta: 15:00:21 batch_cost: 2.7576 data_cost: 0.0022 ips: 29.0113 images/s [10/16 14:34:20] ppdet.engine INFO: Epoch: [247] [120/366] learning_rate: 0.029661 loss_vfl: 0.812477 loss_bbox: 0.276129 loss_dfl: 0.187137 loss: 1.286940 eta: 14:59:25 batch_cost: 2.8116 data_cost: 0.0016 ips: 28.4533 images/s [10/16 14:35:18] ppdet.engine INFO: Epoch: [247] [140/366] learning_rate: 0.029601 loss_vfl: 0.827861 loss_bbox: 0.281753 loss_dfl: 0.180443 loss: 1.276670 eta: 14:58:29 batch_cost: 2.7865 data_cost: 0.0016 ips: 28.7101 images/s [10/16 14:36:16] ppdet.engine INFO: Epoch: [247] [160/366] learning_rate: 0.029541 loss_vfl: 0.838942 loss_bbox: 0.279397 loss_dfl: 0.187590 loss: 1.318568 eta: 14:57:32 batch_cost: 2.7017 data_cost: 0.0022 ips: 29.6106 images/s [10/16 14:37:14] ppdet.engine INFO: Epoch: [247] [180/366] learning_rate: 0.029481 loss_vfl: 0.827091 loss_bbox: 0.284146 loss_dfl: 0.181882 loss: 1.304079 eta: 14:56:36 batch_cost: 2.7643 data_cost: 0.0016 ips: 28.9404 images/s [10/16 14:38:11] ppdet.engine INFO: Epoch: [247] [200/366] learning_rate: 0.029421 loss_vfl: 0.822511 loss_bbox: 0.308623 loss_dfl: 0.190384 loss: 1.318798 eta: 14:55:40 batch_cost: 2.7433 data_cost: 0.0023 ips: 29.1617 images/s [10/16 14:39:09] ppdet.engine INFO: Epoch: [247] [220/366] learning_rate: 0.029361 loss_vfl: 0.832577 loss_bbox: 0.302324 loss_dfl: 0.192064 loss: 1.331693 eta: 14:54:43 batch_cost: 2.7149 data_cost: 0.0016 ips: 29.4671 images/s [10/16 14:40:05] ppdet.engine INFO: Epoch: [247] [240/366] learning_rate: 0.029302 loss_vfl: 0.833483 loss_bbox: 0.275385 loss_dfl: 0.182074 loss: 1.318976 eta: 14:53:47 batch_cost: 2.6817 data_cost: 0.0022 ips: 29.8318 images/s [10/16 14:41:04] ppdet.engine INFO: Epoch: [247] [260/366] learning_rate: 0.029242 loss_vfl: 0.831739 loss_bbox: 0.287035 loss_dfl: 0.177756 loss: 1.290670 eta: 14:52:51 batch_cost: 2.7939 data_cost: 0.0016 ips: 28.6334 images/s [10/16 14:42:02] ppdet.engine INFO: Epoch: [247] [280/366] learning_rate: 0.029183 loss_vfl: 0.828604 loss_bbox: 0.299204 loss_dfl: 0.187080 loss: 1.311909 eta: 14:51:55 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9156 images/s [10/16 14:43:01] ppdet.engine INFO: Epoch: [247] [300/366] learning_rate: 0.029123 loss_vfl: 0.834527 loss_bbox: 0.285913 loss_dfl: 0.181805 loss: 1.312025 eta: 14:50:59 batch_cost: 2.7769 data_cost: 0.0025 ips: 28.8090 images/s [10/16 14:43:59] ppdet.engine INFO: Epoch: [247] [320/366] learning_rate: 0.029064 loss_vfl: 0.818358 loss_bbox: 0.278588 loss_dfl: 0.179326 loss: 1.293176 eta: 14:50:03 batch_cost: 2.7433 data_cost: 0.0017 ips: 29.1617 images/s [10/16 14:44:57] ppdet.engine INFO: Epoch: [247] [340/366] learning_rate: 0.029004 loss_vfl: 0.828910 loss_bbox: 0.286473 loss_dfl: 0.182650 loss: 1.297579 eta: 14:49:06 batch_cost: 2.7690 data_cost: 0.0017 ips: 28.8916 images/s [10/16 14:45:52] ppdet.engine INFO: Epoch: [247] [360/366] learning_rate: 0.028945 loss_vfl: 0.823720 loss_bbox: 0.286057 loss_dfl: 0.184753 loss: 1.320171 eta: 14:48:10 batch_cost: 2.6237 data_cost: 0.0016 ips: 30.4916 images/s [10/16 14:46:32] ppdet.engine INFO: Epoch: [248] [ 0/366] learning_rate: 0.028927 loss_vfl: 0.822846 loss_bbox: 0.297151 loss_dfl: 0.186979 loss: 1.303943 eta: 14:47:57 batch_cost: 3.5222 data_cost: 0.3333 ips: 22.7128 images/s [10/16 14:47:33] ppdet.engine INFO: Epoch: [248] [ 20/366] learning_rate: 0.028868 loss_vfl: 0.832372 loss_bbox: 0.299432 loss_dfl: 0.187630 loss: 1.327976 eta: 14:47:01 batch_cost: 2.9163 data_cost: 0.0018 ips: 27.4321 images/s [10/16 14:48:33] ppdet.engine INFO: Epoch: [248] [ 40/366] learning_rate: 0.028809 loss_vfl: 0.808289 loss_bbox: 0.290264 loss_dfl: 0.189802 loss: 1.291027 eta: 14:46:05 batch_cost: 2.8465 data_cost: 0.0017 ips: 28.1050 images/s [10/16 14:49:32] ppdet.engine INFO: Epoch: [248] [ 60/366] learning_rate: 0.028750 loss_vfl: 0.828088 loss_bbox: 0.281295 loss_dfl: 0.184502 loss: 1.312208 eta: 14:45:09 batch_cost: 2.7875 data_cost: 0.0024 ips: 28.6993 images/s [10/16 14:50:30] ppdet.engine INFO: Epoch: [248] [ 80/366] learning_rate: 0.028690 loss_vfl: 0.828818 loss_bbox: 0.288438 loss_dfl: 0.184464 loss: 1.320834 eta: 14:44:13 batch_cost: 2.7749 data_cost: 0.0016 ips: 28.8294 images/s [10/16 14:51:29] ppdet.engine INFO: Epoch: [248] [100/366] learning_rate: 0.028631 loss_vfl: 0.818510 loss_bbox: 0.275113 loss_dfl: 0.184068 loss: 1.297750 eta: 14:43:17 batch_cost: 2.7904 data_cost: 0.0022 ips: 28.6693 images/s [10/16 14:52:28] ppdet.engine INFO: Epoch: [248] [120/366] learning_rate: 0.028572 loss_vfl: 0.814985 loss_bbox: 0.295312 loss_dfl: 0.184592 loss: 1.308547 eta: 14:42:21 batch_cost: 2.8181 data_cost: 0.0016 ips: 28.3883 images/s [10/16 14:53:26] ppdet.engine INFO: Epoch: [248] [140/366] learning_rate: 0.028514 loss_vfl: 0.828038 loss_bbox: 0.302813 loss_dfl: 0.194662 loss: 1.338261 eta: 14:41:25 batch_cost: 2.7425 data_cost: 0.0016 ips: 29.1704 images/s [10/16 14:54:25] ppdet.engine INFO: Epoch: [248] [160/366] learning_rate: 0.028455 loss_vfl: 0.835186 loss_bbox: 0.295525 loss_dfl: 0.187453 loss: 1.309127 eta: 14:40:29 batch_cost: 2.8036 data_cost: 0.0017 ips: 28.5348 images/s [10/16 14:55:24] ppdet.engine INFO: Epoch: [248] [180/366] learning_rate: 0.028396 loss_vfl: 0.825838 loss_bbox: 0.284863 loss_dfl: 0.185589 loss: 1.311324 eta: 14:39:33 batch_cost: 2.7632 data_cost: 0.0017 ips: 28.9521 images/s [10/16 14:56:22] ppdet.engine INFO: Epoch: [248] [200/366] learning_rate: 0.028337 loss_vfl: 0.831014 loss_bbox: 0.301332 loss_dfl: 0.194771 loss: 1.318098 eta: 14:38:37 batch_cost: 2.7679 data_cost: 0.0017 ips: 28.9027 images/s [10/16 14:57:20] ppdet.engine INFO: Epoch: [248] [220/366] learning_rate: 0.028278 loss_vfl: 0.816870 loss_bbox: 0.281593 loss_dfl: 0.185269 loss: 1.286920 eta: 14:37:41 batch_cost: 2.7161 data_cost: 0.0024 ips: 29.4542 images/s [10/16 14:58:17] ppdet.engine INFO: Epoch: [248] [240/366] learning_rate: 0.028220 loss_vfl: 0.828104 loss_bbox: 0.293305 loss_dfl: 0.187592 loss: 1.298307 eta: 14:36:44 batch_cost: 2.7105 data_cost: 0.0016 ips: 29.5147 images/s [10/16 14:59:16] ppdet.engine INFO: Epoch: [248] [260/366] learning_rate: 0.028161 loss_vfl: 0.833141 loss_bbox: 0.303399 loss_dfl: 0.192358 loss: 1.328569 eta: 14:35:48 batch_cost: 2.8004 data_cost: 0.0018 ips: 28.5672 images/s [10/16 15:00:14] ppdet.engine INFO: Epoch: [248] [280/366] learning_rate: 0.028103 loss_vfl: 0.832376 loss_bbox: 0.291925 loss_dfl: 0.188504 loss: 1.303204 eta: 14:34:52 batch_cost: 2.7544 data_cost: 0.0017 ips: 29.0447 images/s [10/16 15:01:14] ppdet.engine INFO: Epoch: [248] [300/366] learning_rate: 0.028044 loss_vfl: 0.813506 loss_bbox: 0.294460 loss_dfl: 0.188865 loss: 1.298084 eta: 14:33:56 batch_cost: 2.8792 data_cost: 0.0022 ips: 27.7853 images/s [10/16 15:02:11] ppdet.engine INFO: Epoch: [248] [320/366] learning_rate: 0.027986 loss_vfl: 0.833773 loss_bbox: 0.292732 loss_dfl: 0.191185 loss: 1.320011 eta: 14:33:00 batch_cost: 2.7168 data_cost: 0.0016 ips: 29.4466 images/s [10/16 15:03:09] ppdet.engine INFO: Epoch: [248] [340/366] learning_rate: 0.027927 loss_vfl: 0.836208 loss_bbox: 0.311292 loss_dfl: 0.196907 loss: 1.332752 eta: 14:32:04 batch_cost: 2.7609 data_cost: 0.0017 ips: 28.9762 images/s [10/16 15:04:03] ppdet.engine INFO: Epoch: [248] [360/366] learning_rate: 0.027869 loss_vfl: 0.834023 loss_bbox: 0.284795 loss_dfl: 0.183696 loss: 1.312886 eta: 14:31:07 batch_cost: 2.5010 data_cost: 0.0015 ips: 31.9871 images/s [10/16 15:04:40] ppdet.engine INFO: Epoch: [249] [ 0/366] learning_rate: 0.027852 loss_vfl: 0.821157 loss_bbox: 0.284795 loss_dfl: 0.187783 loss: 1.297668 eta: 14:30:53 batch_cost: 3.2726 data_cost: 0.3868 ips: 24.4455 images/s [10/16 15:05:40] ppdet.engine INFO: Epoch: [249] [ 20/366] learning_rate: 0.027793 loss_vfl: 0.820957 loss_bbox: 0.292061 loss_dfl: 0.192685 loss: 1.306130 eta: 14:29:57 batch_cost: 2.8297 data_cost: 0.0018 ips: 28.2714 images/s [10/16 15:06:40] ppdet.engine INFO: Epoch: [249] [ 40/366] learning_rate: 0.027735 loss_vfl: 0.830782 loss_bbox: 0.284675 loss_dfl: 0.183450 loss: 1.322640 eta: 14:29:01 batch_cost: 2.8231 data_cost: 0.0025 ips: 28.3374 images/s [10/16 15:07:38] ppdet.engine INFO: Epoch: [249] [ 60/366] learning_rate: 0.027677 loss_vfl: 0.829368 loss_bbox: 0.294783 loss_dfl: 0.188859 loss: 1.306374 eta: 14:28:05 batch_cost: 2.7589 data_cost: 0.0017 ips: 28.9970 images/s [10/16 15:08:37] ppdet.engine INFO: Epoch: [249] [ 80/366] learning_rate: 0.027619 loss_vfl: 0.830247 loss_bbox: 0.270183 loss_dfl: 0.179702 loss: 1.287904 eta: 14:27:09 batch_cost: 2.8152 data_cost: 0.0028 ips: 28.4171 images/s [10/16 15:09:36] ppdet.engine INFO: Epoch: [249] [100/366] learning_rate: 0.027561 loss_vfl: 0.840914 loss_bbox: 0.289583 loss_dfl: 0.189217 loss: 1.310293 eta: 14:26:13 batch_cost: 2.7747 data_cost: 0.0016 ips: 28.8322 images/s [10/16 15:10:36] ppdet.engine INFO: Epoch: [249] [120/366] learning_rate: 0.027503 loss_vfl: 0.835976 loss_bbox: 0.292890 loss_dfl: 0.186686 loss: 1.302410 eta: 14:25:18 batch_cost: 2.8624 data_cost: 0.0016 ips: 27.9489 images/s [10/16 15:11:34] ppdet.engine INFO: Epoch: [249] [140/366] learning_rate: 0.027445 loss_vfl: 0.833005 loss_bbox: 0.297355 loss_dfl: 0.194977 loss: 1.326414 eta: 14:24:21 batch_cost: 2.7657 data_cost: 0.0017 ips: 28.9253 images/s [10/16 15:12:32] ppdet.engine INFO: Epoch: [249] [160/366] learning_rate: 0.027387 loss_vfl: 0.828263 loss_bbox: 0.298804 loss_dfl: 0.190262 loss: 1.303090 eta: 14:23:25 batch_cost: 2.7274 data_cost: 0.0016 ips: 29.3320 images/s [10/16 15:13:33] ppdet.engine INFO: Epoch: [249] [180/366] learning_rate: 0.027330 loss_vfl: 0.829493 loss_bbox: 0.284217 loss_dfl: 0.191707 loss: 1.306460 eta: 14:22:29 batch_cost: 2.8851 data_cost: 0.0017 ips: 27.7286 images/s [10/16 15:14:32] ppdet.engine INFO: Epoch: [249] [200/366] learning_rate: 0.027272 loss_vfl: 0.816514 loss_bbox: 0.299710 loss_dfl: 0.190705 loss: 1.320163 eta: 14:21:34 batch_cost: 2.8273 data_cost: 0.0016 ips: 28.2959 images/s [10/16 15:15:32] ppdet.engine INFO: Epoch: [249] [220/366] learning_rate: 0.027214 loss_vfl: 0.822676 loss_bbox: 0.302457 loss_dfl: 0.195157 loss: 1.319411 eta: 14:20:38 batch_cost: 2.8154 data_cost: 0.0017 ips: 28.4150 images/s [10/16 15:16:30] ppdet.engine INFO: Epoch: [249] [240/366] learning_rate: 0.027157 loss_vfl: 0.825821 loss_bbox: 0.295234 loss_dfl: 0.190928 loss: 1.299567 eta: 14:19:42 batch_cost: 2.7618 data_cost: 0.0017 ips: 28.9667 images/s [10/16 15:17:29] ppdet.engine INFO: Epoch: [249] [260/366] learning_rate: 0.027099 loss_vfl: 0.820743 loss_bbox: 0.289366 loss_dfl: 0.186001 loss: 1.293519 eta: 14:18:46 batch_cost: 2.8347 data_cost: 0.0022 ips: 28.2214 images/s [10/16 15:18:28] ppdet.engine INFO: Epoch: [249] [280/366] learning_rate: 0.027042 loss_vfl: 0.837328 loss_bbox: 0.311388 loss_dfl: 0.195850 loss: 1.353980 eta: 14:17:50 batch_cost: 2.7825 data_cost: 0.0016 ips: 28.7514 images/s [10/16 15:19:28] ppdet.engine INFO: Epoch: [249] [300/366] learning_rate: 0.026984 loss_vfl: 0.832634 loss_bbox: 0.303488 loss_dfl: 0.197277 loss: 1.332177 eta: 14:16:54 batch_cost: 2.8581 data_cost: 0.0016 ips: 27.9904 images/s [10/16 15:20:26] ppdet.engine INFO: Epoch: [249] [320/366] learning_rate: 0.026927 loss_vfl: 0.826382 loss_bbox: 0.293430 loss_dfl: 0.185428 loss: 1.299920 eta: 14:15:58 batch_cost: 2.7642 data_cost: 0.0016 ips: 28.9417 images/s [10/16 15:21:26] ppdet.engine INFO: Epoch: [249] [340/366] learning_rate: 0.026869 loss_vfl: 0.813221 loss_bbox: 0.308147 loss_dfl: 0.194647 loss: 1.321858 eta: 14:15:02 batch_cost: 2.8365 data_cost: 0.0017 ips: 28.2042 images/s [10/16 15:22:19] ppdet.engine INFO: Epoch: [249] [360/366] learning_rate: 0.026812 loss_vfl: 0.814376 loss_bbox: 0.300536 loss_dfl: 0.196876 loss: 1.313798 eta: 14:14:05 batch_cost: 2.5277 data_cost: 0.0017 ips: 31.6499 images/s [10/16 15:22:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 15:22:37] ppdet.engine INFO: Eval iter: 0 [10/16 15:23:17] ppdet.engine INFO: Eval iter: 100 [10/16 15:23:39] ppdet.engine INFO: Eval iter: 200 [10/16 15:24:02] ppdet.engine INFO: Eval iter: 300 [10/16 15:24:25] ppdet.engine INFO: Eval iter: 400 [10/16 15:24:47] ppdet.engine INFO: Eval iter: 500 [10/16 15:25:10] ppdet.engine INFO: Eval iter: 600 [10/16 15:25:32] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/16 15:25:32] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.68s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.72s). Accumulating evaluation results... DONE (t=19.07s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.452 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.319 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 ] = 0.274 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.197 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.514 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/16 15:27:38] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.927341396894576 [10/16 15:27:38] ppdet.engine INFO: Best test bbox ap is 0.304. [10/16 15:27:40] ppdet.engine INFO: Epoch: [250] [ 0/366] learning_rate: 0.026795 loss_vfl: 0.821554 loss_bbox: 0.310229 loss_dfl: 0.197210 loss: 1.319866 eta: 14:13:47 batch_cost: 2.3652 data_cost: 0.0018 ips: 33.8238 images/s [10/16 15:28:43] ppdet.engine INFO: Epoch: [250] [ 20/366] learning_rate: 0.026738 loss_vfl: 0.836747 loss_bbox: 0.297585 loss_dfl: 0.184114 loss: 1.311046 eta: 14:12:52 batch_cost: 2.9687 data_cost: 0.0018 ips: 26.9481 images/s [10/16 15:29:43] ppdet.engine INFO: Epoch: [250] [ 40/366] learning_rate: 0.026681 loss_vfl: 0.839055 loss_bbox: 0.295693 loss_dfl: 0.191360 loss: 1.313393 eta: 14:11:56 batch_cost: 2.8294 data_cost: 0.0017 ips: 28.2746 images/s [10/16 15:30:41] ppdet.engine INFO: Epoch: [250] [ 60/366] learning_rate: 0.026624 loss_vfl: 0.826213 loss_bbox: 0.282061 loss_dfl: 0.187421 loss: 1.296950 eta: 14:11:00 batch_cost: 2.7683 data_cost: 0.0025 ips: 28.8988 images/s [10/16 15:31:40] ppdet.engine INFO: Epoch: [250] [ 80/366] learning_rate: 0.026566 loss_vfl: 0.828916 loss_bbox: 0.291347 loss_dfl: 0.190001 loss: 1.312904 eta: 14:10:04 batch_cost: 2.7708 data_cost: 0.0019 ips: 28.8727 images/s [10/16 15:32:38] ppdet.engine INFO: Epoch: [250] [100/366] learning_rate: 0.026510 loss_vfl: 0.818835 loss_bbox: 0.299801 loss_dfl: 0.189769 loss: 1.310250 eta: 14:09:08 batch_cost: 2.7606 data_cost: 0.0016 ips: 28.9788 images/s [10/16 15:33:37] ppdet.engine INFO: Epoch: [250] [120/366] learning_rate: 0.026453 loss_vfl: 0.829698 loss_bbox: 0.303445 loss_dfl: 0.193166 loss: 1.328622 eta: 14:08:12 batch_cost: 2.7937 data_cost: 0.0017 ips: 28.6359 images/s [10/16 15:34:35] ppdet.engine INFO: Epoch: [250] [140/366] learning_rate: 0.026396 loss_vfl: 0.817298 loss_bbox: 0.304942 loss_dfl: 0.191491 loss: 1.315582 eta: 14:07:16 batch_cost: 2.7921 data_cost: 0.0016 ips: 28.6527 images/s [10/16 15:35:34] ppdet.engine INFO: Epoch: [250] [160/366] learning_rate: 0.026339 loss_vfl: 0.828723 loss_bbox: 0.293426 loss_dfl: 0.188441 loss: 1.302611 eta: 14:06:20 batch_cost: 2.7912 data_cost: 0.0016 ips: 28.6616 images/s [10/16 15:36:33] ppdet.engine INFO: Epoch: [250] [180/366] learning_rate: 0.026282 loss_vfl: 0.819277 loss_bbox: 0.295665 loss_dfl: 0.183023 loss: 1.315928 eta: 14:05:24 batch_cost: 2.7856 data_cost: 0.0017 ips: 28.7187 images/s [10/16 15:37:31] ppdet.engine INFO: Epoch: [250] [200/366] learning_rate: 0.026226 loss_vfl: 0.822900 loss_bbox: 0.299467 loss_dfl: 0.187441 loss: 1.305965 eta: 14:04:28 batch_cost: 2.7710 data_cost: 0.0030 ips: 28.8709 images/s [10/16 15:38:31] ppdet.engine INFO: Epoch: [250] [220/366] learning_rate: 0.026169 loss_vfl: 0.815800 loss_bbox: 0.290059 loss_dfl: 0.182195 loss: 1.285848 eta: 14:03:32 batch_cost: 2.8289 data_cost: 0.0016 ips: 28.2799 images/s [10/16 15:39:30] ppdet.engine INFO: Epoch: [250] [240/366] learning_rate: 0.026112 loss_vfl: 0.824373 loss_bbox: 0.281444 loss_dfl: 0.182183 loss: 1.287695 eta: 14:02:36 batch_cost: 2.7899 data_cost: 0.0016 ips: 28.6744 images/s [10/16 15:40:28] ppdet.engine INFO: Epoch: [250] [260/366] learning_rate: 0.026056 loss_vfl: 0.824206 loss_bbox: 0.301207 loss_dfl: 0.189947 loss: 1.321617 eta: 14:01:40 batch_cost: 2.7637 data_cost: 0.0023 ips: 28.9471 images/s [10/16 15:41:26] ppdet.engine INFO: Epoch: [250] [280/366] learning_rate: 0.025999 loss_vfl: 0.823903 loss_bbox: 0.303723 loss_dfl: 0.193492 loss: 1.312365 eta: 14:00:43 batch_cost: 2.7499 data_cost: 0.0017 ips: 29.0920 images/s [10/16 15:42:25] ppdet.engine INFO: Epoch: [250] [300/366] learning_rate: 0.025943 loss_vfl: 0.822685 loss_bbox: 0.283833 loss_dfl: 0.187335 loss: 1.307826 eta: 13:59:48 batch_cost: 2.8150 data_cost: 0.0017 ips: 28.4191 images/s [10/16 15:43:24] ppdet.engine INFO: Epoch: [250] [320/366] learning_rate: 0.025887 loss_vfl: 0.842716 loss_bbox: 0.294893 loss_dfl: 0.190254 loss: 1.326490 eta: 13:58:52 batch_cost: 2.7878 data_cost: 0.0017 ips: 28.6961 images/s [10/16 15:44:22] ppdet.engine INFO: Epoch: [250] [340/366] learning_rate: 0.025830 loss_vfl: 0.835346 loss_bbox: 0.281655 loss_dfl: 0.185058 loss: 1.306060 eta: 13:57:55 batch_cost: 2.7440 data_cost: 0.0017 ips: 29.1543 images/s [10/16 15:45:15] ppdet.engine INFO: Epoch: [250] [360/366] learning_rate: 0.025774 loss_vfl: 0.818373 loss_bbox: 0.303583 loss_dfl: 0.190715 loss: 1.314150 eta: 13:56:58 batch_cost: 2.5230 data_cost: 0.0017 ips: 31.7078 images/s [10/16 15:45:55] ppdet.engine INFO: Epoch: [251] [ 0/366] learning_rate: 0.025757 loss_vfl: 0.819008 loss_bbox: 0.304435 loss_dfl: 0.191092 loss: 1.315134 eta: 13:56:45 batch_cost: 3.4350 data_cost: 0.7109 ips: 23.2899 images/s [10/16 15:46:55] ppdet.engine INFO: Epoch: [251] [ 20/366] learning_rate: 0.025701 loss_vfl: 0.821722 loss_bbox: 0.296117 loss_dfl: 0.184239 loss: 1.306087 eta: 13:55:49 batch_cost: 2.8396 data_cost: 0.0037 ips: 28.1734 images/s [10/16 15:47:55] ppdet.engine INFO: Epoch: [251] [ 40/366] learning_rate: 0.025645 loss_vfl: 0.817104 loss_bbox: 0.293160 loss_dfl: 0.187431 loss: 1.300224 eta: 13:54:53 batch_cost: 2.8715 data_cost: 0.0019 ips: 27.8599 images/s [10/16 15:48:55] ppdet.engine INFO: Epoch: [251] [ 60/366] learning_rate: 0.025589 loss_vfl: 0.810980 loss_bbox: 0.301829 loss_dfl: 0.193918 loss: 1.311911 eta: 13:53:58 batch_cost: 2.8642 data_cost: 0.0024 ips: 27.9307 images/s [10/16 15:49:55] ppdet.engine INFO: Epoch: [251] [ 80/366] learning_rate: 0.025533 loss_vfl: 0.829104 loss_bbox: 0.293314 loss_dfl: 0.184183 loss: 1.301066 eta: 13:53:02 batch_cost: 2.8268 data_cost: 0.0017 ips: 28.3002 images/s [10/16 15:50:54] ppdet.engine INFO: Epoch: [251] [100/366] learning_rate: 0.025477 loss_vfl: 0.827767 loss_bbox: 0.295965 loss_dfl: 0.189899 loss: 1.315372 eta: 13:52:06 batch_cost: 2.8008 data_cost: 0.0017 ips: 28.5628 images/s [10/16 15:51:54] ppdet.engine INFO: Epoch: [251] [120/366] learning_rate: 0.025421 loss_vfl: 0.821708 loss_bbox: 0.308001 loss_dfl: 0.195641 loss: 1.325527 eta: 13:51:10 batch_cost: 2.8301 data_cost: 0.0017 ips: 28.2679 images/s [10/16 15:52:52] ppdet.engine INFO: Epoch: [251] [140/366] learning_rate: 0.025365 loss_vfl: 0.825764 loss_bbox: 0.284659 loss_dfl: 0.188575 loss: 1.317503 eta: 13:50:14 batch_cost: 2.7506 data_cost: 0.0016 ips: 29.0849 images/s [10/16 15:53:50] ppdet.engine INFO: Epoch: [251] [160/366] learning_rate: 0.025310 loss_vfl: 0.831701 loss_bbox: 0.292893 loss_dfl: 0.183983 loss: 1.305576 eta: 13:49:18 batch_cost: 2.7643 data_cost: 0.0032 ips: 28.9399 images/s [10/16 15:54:49] ppdet.engine INFO: Epoch: [251] [180/366] learning_rate: 0.025254 loss_vfl: 0.832355 loss_bbox: 0.291004 loss_dfl: 0.187072 loss: 1.300681 eta: 13:48:22 batch_cost: 2.7998 data_cost: 0.0017 ips: 28.5732 images/s [10/16 15:55:46] ppdet.engine INFO: Epoch: [251] [200/366] learning_rate: 0.025198 loss_vfl: 0.824227 loss_bbox: 0.273734 loss_dfl: 0.180232 loss: 1.295731 eta: 13:47:25 batch_cost: 2.6726 data_cost: 0.0029 ips: 29.9330 images/s [10/16 15:56:43] ppdet.engine INFO: Epoch: [251] [220/366] learning_rate: 0.025143 loss_vfl: 0.835707 loss_bbox: 0.308975 loss_dfl: 0.192503 loss: 1.335844 eta: 13:46:29 batch_cost: 2.7125 data_cost: 0.0017 ips: 29.4930 images/s [10/16 15:57:41] ppdet.engine INFO: Epoch: [251] [240/366] learning_rate: 0.025087 loss_vfl: 0.811693 loss_bbox: 0.311050 loss_dfl: 0.194309 loss: 1.319296 eta: 13:45:33 batch_cost: 2.7424 data_cost: 0.0035 ips: 29.1718 images/s [10/16 15:58:40] ppdet.engine INFO: Epoch: [251] [260/366] learning_rate: 0.025032 loss_vfl: 0.813268 loss_bbox: 0.286593 loss_dfl: 0.191179 loss: 1.307159 eta: 13:44:37 batch_cost: 2.8274 data_cost: 0.0016 ips: 28.2946 images/s [10/16 15:59:38] ppdet.engine INFO: Epoch: [251] [280/366] learning_rate: 0.024976 loss_vfl: 0.814958 loss_bbox: 0.299012 loss_dfl: 0.192781 loss: 1.313336 eta: 13:43:41 batch_cost: 2.7483 data_cost: 0.0017 ips: 29.1093 images/s [10/16 16:00:38] ppdet.engine INFO: Epoch: [251] [300/366] learning_rate: 0.024921 loss_vfl: 0.838835 loss_bbox: 0.265907 loss_dfl: 0.178474 loss: 1.289000 eta: 13:42:45 batch_cost: 2.8574 data_cost: 0.0017 ips: 27.9979 images/s [10/16 16:01:38] ppdet.engine INFO: Epoch: [251] [320/366] learning_rate: 0.024866 loss_vfl: 0.820767 loss_bbox: 0.281376 loss_dfl: 0.182459 loss: 1.298404 eta: 13:41:49 batch_cost: 2.8387 data_cost: 0.0018 ips: 28.1815 images/s [10/16 16:02:37] ppdet.engine INFO: Epoch: [251] [340/366] learning_rate: 0.024810 loss_vfl: 0.830522 loss_bbox: 0.293258 loss_dfl: 0.183479 loss: 1.302790 eta: 13:40:53 batch_cost: 2.8205 data_cost: 0.0016 ips: 28.3641 images/s [10/16 16:03:31] ppdet.engine INFO: Epoch: [251] [360/366] learning_rate: 0.024755 loss_vfl: 0.827651 loss_bbox: 0.298243 loss_dfl: 0.188170 loss: 1.319644 eta: 13:39:56 batch_cost: 2.5450 data_cost: 0.0016 ips: 31.4337 images/s [10/16 16:04:10] ppdet.engine INFO: Epoch: [252] [ 0/366] learning_rate: 0.024739 loss_vfl: 0.823905 loss_bbox: 0.295089 loss_dfl: 0.185913 loss: 1.302014 eta: 13:39:43 batch_cost: 3.4023 data_cost: 0.3529 ips: 23.5132 images/s [10/16 16:05:11] ppdet.engine INFO: Epoch: [252] [ 20/366] learning_rate: 0.024684 loss_vfl: 0.815866 loss_bbox: 0.301687 loss_dfl: 0.194515 loss: 1.314884 eta: 13:38:47 batch_cost: 2.8855 data_cost: 0.0026 ips: 27.7251 images/s [10/16 16:06:11] ppdet.engine INFO: Epoch: [252] [ 40/366] learning_rate: 0.024629 loss_vfl: 0.825997 loss_bbox: 0.292103 loss_dfl: 0.184579 loss: 1.298807 eta: 13:37:51 batch_cost: 2.8365 data_cost: 0.0019 ips: 28.2033 images/s [10/16 16:07:13] ppdet.engine INFO: Epoch: [252] [ 60/366] learning_rate: 0.024574 loss_vfl: 0.836586 loss_bbox: 0.286449 loss_dfl: 0.182623 loss: 1.286015 eta: 13:36:56 batch_cost: 2.9503 data_cost: 0.0030 ips: 27.1159 images/s [10/16 16:08:13] ppdet.engine INFO: Epoch: [252] [ 80/366] learning_rate: 0.024519 loss_vfl: 0.827318 loss_bbox: 0.282074 loss_dfl: 0.182170 loss: 1.279868 eta: 13:36:00 batch_cost: 2.8317 data_cost: 0.0017 ips: 28.2514 images/s [10/16 16:09:11] ppdet.engine INFO: Epoch: [252] [100/366] learning_rate: 0.024464 loss_vfl: 0.819813 loss_bbox: 0.283348 loss_dfl: 0.184926 loss: 1.295652 eta: 13:35:04 batch_cost: 2.7604 data_cost: 0.0016 ips: 28.9810 images/s [10/16 16:10:12] ppdet.engine INFO: Epoch: [252] [120/366] learning_rate: 0.024409 loss_vfl: 0.820669 loss_bbox: 0.284600 loss_dfl: 0.183449 loss: 1.306174 eta: 13:34:08 batch_cost: 2.8888 data_cost: 0.0024 ips: 27.6930 images/s [10/16 16:11:11] ppdet.engine INFO: Epoch: [252] [140/366] learning_rate: 0.024354 loss_vfl: 0.824619 loss_bbox: 0.290090 loss_dfl: 0.185578 loss: 1.300777 eta: 13:33:12 batch_cost: 2.8446 data_cost: 0.0018 ips: 28.1230 images/s [10/16 16:12:11] ppdet.engine INFO: Epoch: [252] [160/366] learning_rate: 0.024299 loss_vfl: 0.825014 loss_bbox: 0.293768 loss_dfl: 0.188400 loss: 1.304301 eta: 13:32:16 batch_cost: 2.8254 data_cost: 0.0017 ips: 28.3143 images/s [10/16 16:13:09] ppdet.engine INFO: Epoch: [252] [180/366] learning_rate: 0.024245 loss_vfl: 0.821679 loss_bbox: 0.275342 loss_dfl: 0.182251 loss: 1.291758 eta: 13:31:20 batch_cost: 2.7638 data_cost: 0.0022 ips: 28.9460 images/s [10/16 16:14:07] ppdet.engine INFO: Epoch: [252] [200/366] learning_rate: 0.024190 loss_vfl: 0.834354 loss_bbox: 0.301500 loss_dfl: 0.188374 loss: 1.322793 eta: 13:30:24 batch_cost: 2.7457 data_cost: 0.0018 ips: 29.1365 images/s [10/16 16:15:06] ppdet.engine INFO: Epoch: [252] [220/366] learning_rate: 0.024136 loss_vfl: 0.830392 loss_bbox: 0.293613 loss_dfl: 0.193061 loss: 1.346016 eta: 13:29:28 batch_cost: 2.7869 data_cost: 0.0027 ips: 28.7052 images/s [10/16 16:16:04] ppdet.engine INFO: Epoch: [252] [240/366] learning_rate: 0.024081 loss_vfl: 0.836543 loss_bbox: 0.306417 loss_dfl: 0.193070 loss: 1.339196 eta: 13:28:32 batch_cost: 2.7518 data_cost: 0.0017 ips: 29.0723 images/s [10/16 16:17:03] ppdet.engine INFO: Epoch: [252] [260/366] learning_rate: 0.024027 loss_vfl: 0.810676 loss_bbox: 0.312366 loss_dfl: 0.193289 loss: 1.319319 eta: 13:27:36 batch_cost: 2.8236 data_cost: 0.0017 ips: 28.3323 images/s [10/16 16:18:01] ppdet.engine INFO: Epoch: [252] [280/366] learning_rate: 0.023972 loss_vfl: 0.822284 loss_bbox: 0.273486 loss_dfl: 0.182558 loss: 1.263669 eta: 13:26:40 batch_cost: 2.7024 data_cost: 0.0017 ips: 29.6034 images/s [10/16 16:19:00] ppdet.engine INFO: Epoch: [252] [300/366] learning_rate: 0.023918 loss_vfl: 0.816211 loss_bbox: 0.298914 loss_dfl: 0.199209 loss: 1.310854 eta: 13:25:44 batch_cost: 2.8154 data_cost: 0.0024 ips: 28.4156 images/s [10/16 16:19:58] ppdet.engine INFO: Epoch: [252] [320/366] learning_rate: 0.023864 loss_vfl: 0.826619 loss_bbox: 0.291470 loss_dfl: 0.187594 loss: 1.291882 eta: 13:24:47 batch_cost: 2.7328 data_cost: 0.0017 ips: 29.2740 images/s [10/16 16:20:58] ppdet.engine INFO: Epoch: [252] [340/366] learning_rate: 0.023810 loss_vfl: 0.822167 loss_bbox: 0.289678 loss_dfl: 0.182731 loss: 1.304680 eta: 13:23:52 batch_cost: 2.8419 data_cost: 0.0018 ips: 28.1505 images/s [10/16 16:21:53] ppdet.engine INFO: Epoch: [252] [360/366] learning_rate: 0.023756 loss_vfl: 0.820454 loss_bbox: 0.296689 loss_dfl: 0.187969 loss: 1.311234 eta: 13:22:55 batch_cost: 2.6142 data_cost: 0.0016 ips: 30.6017 images/s [10/16 16:22:33] ppdet.engine INFO: Epoch: [253] [ 0/366] learning_rate: 0.023739 loss_vfl: 0.821611 loss_bbox: 0.296689 loss_dfl: 0.190438 loss: 1.314133 eta: 13:22:42 batch_cost: 3.5536 data_cost: 0.4004 ips: 22.5126 images/s [10/16 16:23:34] ppdet.engine INFO: Epoch: [253] [ 20/366] learning_rate: 0.023685 loss_vfl: 0.820577 loss_bbox: 0.291320 loss_dfl: 0.187521 loss: 1.297098 eta: 13:21:46 batch_cost: 2.8870 data_cost: 0.0017 ips: 27.7101 images/s [10/16 16:24:34] ppdet.engine INFO: Epoch: [253] [ 40/366] learning_rate: 0.023631 loss_vfl: 0.824170 loss_bbox: 0.306316 loss_dfl: 0.198769 loss: 1.330680 eta: 13:20:50 batch_cost: 2.8480 data_cost: 0.0018 ips: 28.0895 images/s [10/16 16:25:34] ppdet.engine INFO: Epoch: [253] [ 60/366] learning_rate: 0.023577 loss_vfl: 0.824586 loss_bbox: 0.279882 loss_dfl: 0.179987 loss: 1.291743 eta: 13:19:54 batch_cost: 2.8517 data_cost: 0.0023 ips: 28.0534 images/s [10/16 16:26:33] ppdet.engine INFO: Epoch: [253] [ 80/366] learning_rate: 0.023523 loss_vfl: 0.817044 loss_bbox: 0.285147 loss_dfl: 0.181502 loss: 1.292606 eta: 13:18:58 batch_cost: 2.7880 data_cost: 0.0016 ips: 28.6947 images/s [10/16 16:27:32] ppdet.engine INFO: Epoch: [253] [100/366] learning_rate: 0.023470 loss_vfl: 0.829716 loss_bbox: 0.280106 loss_dfl: 0.181477 loss: 1.290406 eta: 13:18:02 batch_cost: 2.8156 data_cost: 0.0023 ips: 28.4131 images/s [10/16 16:28:31] ppdet.engine INFO: Epoch: [253] [120/366] learning_rate: 0.023416 loss_vfl: 0.815029 loss_bbox: 0.292036 loss_dfl: 0.187444 loss: 1.295010 eta: 13:17:06 batch_cost: 2.7732 data_cost: 0.0017 ips: 28.8479 images/s [10/16 16:29:30] ppdet.engine INFO: Epoch: [253] [140/366] learning_rate: 0.023362 loss_vfl: 0.819994 loss_bbox: 0.284985 loss_dfl: 0.182477 loss: 1.297611 eta: 13:16:10 batch_cost: 2.8068 data_cost: 0.0023 ips: 28.5022 images/s [10/16 16:30:30] ppdet.engine INFO: Epoch: [253] [160/366] learning_rate: 0.023308 loss_vfl: 0.818160 loss_bbox: 0.292466 loss_dfl: 0.187337 loss: 1.298532 eta: 13:15:14 batch_cost: 2.8163 data_cost: 0.0023 ips: 28.4057 images/s [10/16 16:31:30] ppdet.engine INFO: Epoch: [253] [180/366] learning_rate: 0.023255 loss_vfl: 0.839769 loss_bbox: 0.282840 loss_dfl: 0.179243 loss: 1.315362 eta: 13:14:18 batch_cost: 2.8253 data_cost: 0.0018 ips: 28.3158 images/s [10/16 16:32:29] ppdet.engine INFO: Epoch: [253] [200/366] learning_rate: 0.023201 loss_vfl: 0.826620 loss_bbox: 0.303570 loss_dfl: 0.191408 loss: 1.313762 eta: 13:13:22 batch_cost: 2.8119 data_cost: 0.0022 ips: 28.4507 images/s [10/16 16:33:30] ppdet.engine INFO: Epoch: [253] [220/366] learning_rate: 0.023148 loss_vfl: 0.818660 loss_bbox: 0.306036 loss_dfl: 0.191210 loss: 1.320142 eta: 13:12:27 batch_cost: 2.8923 data_cost: 0.0017 ips: 27.6601 images/s [10/16 16:34:30] ppdet.engine INFO: Epoch: [253] [240/366] learning_rate: 0.023094 loss_vfl: 0.841739 loss_bbox: 0.274218 loss_dfl: 0.180378 loss: 1.293569 eta: 13:11:31 batch_cost: 2.8483 data_cost: 0.0017 ips: 28.0871 images/s [10/16 16:35:28] ppdet.engine INFO: Epoch: [253] [260/366] learning_rate: 0.023041 loss_vfl: 0.834412 loss_bbox: 0.289062 loss_dfl: 0.186076 loss: 1.297235 eta: 13:10:35 batch_cost: 2.7567 data_cost: 0.0018 ips: 29.0203 images/s [10/16 16:36:26] ppdet.engine INFO: Epoch: [253] [280/366] learning_rate: 0.022988 loss_vfl: 0.814676 loss_bbox: 0.280397 loss_dfl: 0.179323 loss: 1.278769 eta: 13:09:39 batch_cost: 2.7726 data_cost: 0.0017 ips: 28.8533 images/s [10/16 16:37:26] ppdet.engine INFO: Epoch: [253] [300/366] learning_rate: 0.022935 loss_vfl: 0.829041 loss_bbox: 0.290884 loss_dfl: 0.182019 loss: 1.305295 eta: 13:08:43 batch_cost: 2.8256 data_cost: 0.0017 ips: 28.3127 images/s [10/16 16:38:24] ppdet.engine INFO: Epoch: [253] [320/366] learning_rate: 0.022881 loss_vfl: 0.811546 loss_bbox: 0.304846 loss_dfl: 0.187535 loss: 1.315862 eta: 13:07:47 batch_cost: 2.7623 data_cost: 0.0017 ips: 28.9619 images/s [10/16 16:39:24] ppdet.engine INFO: Epoch: [253] [340/366] learning_rate: 0.022828 loss_vfl: 0.834846 loss_bbox: 0.305328 loss_dfl: 0.194385 loss: 1.332977 eta: 13:06:51 batch_cost: 2.8165 data_cost: 0.0017 ips: 28.4038 images/s [10/16 16:40:17] ppdet.engine INFO: Epoch: [253] [360/366] learning_rate: 0.022775 loss_vfl: 0.838675 loss_bbox: 0.289635 loss_dfl: 0.183868 loss: 1.302637 eta: 13:05:54 batch_cost: 2.5496 data_cost: 0.0015 ips: 31.3770 images/s [10/16 16:41:00] ppdet.engine INFO: Epoch: [254] [ 0/366] learning_rate: 0.022759 loss_vfl: 0.845884 loss_bbox: 0.289284 loss_dfl: 0.180078 loss: 1.308307 eta: 13:05:41 batch_cost: 3.6396 data_cost: 0.7226 ips: 21.9804 images/s [10/16 16:42:02] ppdet.engine INFO: Epoch: [254] [ 20/366] learning_rate: 0.022706 loss_vfl: 0.823539 loss_bbox: 0.308392 loss_dfl: 0.196442 loss: 1.338888 eta: 13:04:45 batch_cost: 2.9373 data_cost: 0.0018 ips: 27.2364 images/s [10/16 16:43:02] ppdet.engine INFO: Epoch: [254] [ 40/366] learning_rate: 0.022653 loss_vfl: 0.827852 loss_bbox: 0.287839 loss_dfl: 0.183028 loss: 1.307701 eta: 13:03:50 batch_cost: 2.8353 data_cost: 0.0016 ips: 28.2154 images/s [10/16 16:44:02] ppdet.engine INFO: Epoch: [254] [ 60/366] learning_rate: 0.022600 loss_vfl: 0.815972 loss_bbox: 0.312099 loss_dfl: 0.196412 loss: 1.328807 eta: 13:02:54 batch_cost: 2.8254 data_cost: 0.0016 ips: 28.3145 images/s [10/16 16:45:00] ppdet.engine INFO: Epoch: [254] [ 80/366] learning_rate: 0.022548 loss_vfl: 0.829901 loss_bbox: 0.286745 loss_dfl: 0.191752 loss: 1.311344 eta: 13:01:58 batch_cost: 2.7735 data_cost: 0.0016 ips: 28.8440 images/s [10/16 16:45:58] ppdet.engine INFO: Epoch: [254] [100/366] learning_rate: 0.022495 loss_vfl: 0.829246 loss_bbox: 0.289892 loss_dfl: 0.190449 loss: 1.312824 eta: 13:01:02 batch_cost: 2.7741 data_cost: 0.0023 ips: 28.8385 images/s [10/16 16:46:56] ppdet.engine INFO: Epoch: [254] [120/366] learning_rate: 0.022442 loss_vfl: 0.818380 loss_bbox: 0.289355 loss_dfl: 0.191230 loss: 1.306774 eta: 13:00:05 batch_cost: 2.7412 data_cost: 0.0016 ips: 29.1846 images/s [10/16 16:47:55] ppdet.engine INFO: Epoch: [254] [140/366] learning_rate: 0.022390 loss_vfl: 0.823718 loss_bbox: 0.285370 loss_dfl: 0.185407 loss: 1.303877 eta: 12:59:09 batch_cost: 2.7809 data_cost: 0.0017 ips: 28.7680 images/s [10/16 16:48:53] ppdet.engine INFO: Epoch: [254] [160/366] learning_rate: 0.022337 loss_vfl: 0.823623 loss_bbox: 0.278661 loss_dfl: 0.186027 loss: 1.287781 eta: 12:58:13 batch_cost: 2.7686 data_cost: 0.0017 ips: 28.8953 images/s [10/16 16:49:51] ppdet.engine INFO: Epoch: [254] [180/366] learning_rate: 0.022284 loss_vfl: 0.814448 loss_bbox: 0.288314 loss_dfl: 0.186775 loss: 1.282872 eta: 12:57:17 batch_cost: 2.7284 data_cost: 0.0020 ips: 29.3211 images/s [10/16 16:50:50] ppdet.engine INFO: Epoch: [254] [200/366] learning_rate: 0.022232 loss_vfl: 0.808089 loss_bbox: 0.296003 loss_dfl: 0.189856 loss: 1.298026 eta: 12:56:21 batch_cost: 2.8196 data_cost: 0.0018 ips: 28.3729 images/s [10/16 16:51:50] ppdet.engine INFO: Epoch: [254] [220/366] learning_rate: 0.022180 loss_vfl: 0.821513 loss_bbox: 0.301455 loss_dfl: 0.192427 loss: 1.308500 eta: 12:55:25 batch_cost: 2.8334 data_cost: 0.0016 ips: 28.2350 images/s [10/16 16:52:48] ppdet.engine INFO: Epoch: [254] [240/366] learning_rate: 0.022127 loss_vfl: 0.825426 loss_bbox: 0.285696 loss_dfl: 0.189550 loss: 1.305715 eta: 12:54:29 batch_cost: 2.7715 data_cost: 0.0024 ips: 28.8649 images/s [10/16 16:53:47] ppdet.engine INFO: Epoch: [254] [260/366] learning_rate: 0.022075 loss_vfl: 0.823255 loss_bbox: 0.292680 loss_dfl: 0.185544 loss: 1.310917 eta: 12:53:33 batch_cost: 2.7674 data_cost: 0.0018 ips: 28.9081 images/s [10/16 16:54:45] ppdet.engine INFO: Epoch: [254] [280/366] learning_rate: 0.022023 loss_vfl: 0.833238 loss_bbox: 0.290409 loss_dfl: 0.187412 loss: 1.304493 eta: 12:52:37 batch_cost: 2.7584 data_cost: 0.0020 ips: 29.0027 images/s [10/16 16:55:45] ppdet.engine INFO: Epoch: [254] [300/366] learning_rate: 0.021970 loss_vfl: 0.813867 loss_bbox: 0.307480 loss_dfl: 0.186652 loss: 1.291138 eta: 12:51:41 batch_cost: 2.8097 data_cost: 0.0018 ips: 28.4727 images/s [10/16 16:56:43] ppdet.engine INFO: Epoch: [254] [320/366] learning_rate: 0.021918 loss_vfl: 0.817246 loss_bbox: 0.302872 loss_dfl: 0.190836 loss: 1.327415 eta: 12:50:45 batch_cost: 2.7798 data_cost: 0.0017 ips: 28.7791 images/s [10/16 16:57:42] ppdet.engine INFO: Epoch: [254] [340/366] learning_rate: 0.021866 loss_vfl: 0.823406 loss_bbox: 0.293422 loss_dfl: 0.186963 loss: 1.308199 eta: 12:49:49 batch_cost: 2.7743 data_cost: 0.0017 ips: 28.8363 images/s [10/16 16:58:36] ppdet.engine INFO: Epoch: [254] [360/366] learning_rate: 0.021814 loss_vfl: 0.818206 loss_bbox: 0.292583 loss_dfl: 0.184598 loss: 1.297810 eta: 12:48:52 batch_cost: 2.5530 data_cost: 0.0023 ips: 31.3355 images/s [10/16 16:59:16] ppdet.engine INFO: Epoch: [255] [ 0/366] learning_rate: 0.021799 loss_vfl: 0.820185 loss_bbox: 0.288926 loss_dfl: 0.182798 loss: 1.286026 eta: 12:48:38 batch_cost: 3.4808 data_cost: 0.4159 ips: 22.9830 images/s [10/16 17:00:16] ppdet.engine INFO: Epoch: [255] [ 20/366] learning_rate: 0.021747 loss_vfl: 0.823321 loss_bbox: 0.288622 loss_dfl: 0.185669 loss: 1.286274 eta: 12:47:42 batch_cost: 2.8559 data_cost: 0.0019 ips: 28.0122 images/s [10/16 17:01:16] ppdet.engine INFO: Epoch: [255] [ 40/366] learning_rate: 0.021695 loss_vfl: 0.815023 loss_bbox: 0.300157 loss_dfl: 0.189350 loss: 1.308135 eta: 12:46:46 batch_cost: 2.8456 data_cost: 0.0016 ips: 28.1139 images/s [10/16 17:02:16] ppdet.engine INFO: Epoch: [255] [ 60/366] learning_rate: 0.021643 loss_vfl: 0.820156 loss_bbox: 0.288821 loss_dfl: 0.185942 loss: 1.295556 eta: 12:45:50 batch_cost: 2.8063 data_cost: 0.0032 ips: 28.5074 images/s [10/16 17:03:13] ppdet.engine INFO: Epoch: [255] [ 80/366] learning_rate: 0.021591 loss_vfl: 0.817454 loss_bbox: 0.293439 loss_dfl: 0.190967 loss: 1.292632 eta: 12:44:54 batch_cost: 2.7264 data_cost: 0.0016 ips: 29.3425 images/s [10/16 17:04:12] ppdet.engine INFO: Epoch: [255] [100/366] learning_rate: 0.021540 loss_vfl: 0.824502 loss_bbox: 0.276551 loss_dfl: 0.182532 loss: 1.287947 eta: 12:43:58 batch_cost: 2.7905 data_cost: 0.0016 ips: 28.6692 images/s [10/16 17:05:11] ppdet.engine INFO: Epoch: [255] [120/366] learning_rate: 0.021488 loss_vfl: 0.818337 loss_bbox: 0.303948 loss_dfl: 0.191320 loss: 1.312561 eta: 12:43:02 batch_cost: 2.7880 data_cost: 0.0016 ips: 28.6944 images/s [10/16 17:06:09] ppdet.engine INFO: Epoch: [255] [140/366] learning_rate: 0.021436 loss_vfl: 0.805255 loss_bbox: 0.306167 loss_dfl: 0.194541 loss: 1.315680 eta: 12:42:06 batch_cost: 2.7633 data_cost: 0.0017 ips: 28.9505 images/s [10/16 17:07:09] ppdet.engine INFO: Epoch: [255] [160/366] learning_rate: 0.021385 loss_vfl: 0.824605 loss_bbox: 0.293224 loss_dfl: 0.182242 loss: 1.281877 eta: 12:41:10 batch_cost: 2.8609 data_cost: 0.0016 ips: 27.9636 images/s [10/16 17:08:08] ppdet.engine INFO: Epoch: [255] [180/366] learning_rate: 0.021333 loss_vfl: 0.829516 loss_bbox: 0.298927 loss_dfl: 0.190058 loss: 1.314788 eta: 12:40:14 batch_cost: 2.7900 data_cost: 0.0016 ips: 28.6743 images/s [10/16 17:09:07] ppdet.engine INFO: Epoch: [255] [200/366] learning_rate: 0.021282 loss_vfl: 0.815003 loss_bbox: 0.286245 loss_dfl: 0.185829 loss: 1.310238 eta: 12:39:18 batch_cost: 2.7664 data_cost: 0.0017 ips: 28.9188 images/s [10/16 17:10:06] ppdet.engine INFO: Epoch: [255] [220/366] learning_rate: 0.021231 loss_vfl: 0.828813 loss_bbox: 0.297506 loss_dfl: 0.187734 loss: 1.295624 eta: 12:38:22 batch_cost: 2.8423 data_cost: 0.0016 ips: 28.1463 images/s [10/16 17:11:06] ppdet.engine INFO: Epoch: [255] [240/366] learning_rate: 0.021179 loss_vfl: 0.824642 loss_bbox: 0.284437 loss_dfl: 0.184767 loss: 1.305369 eta: 12:37:26 batch_cost: 2.8215 data_cost: 0.0017 ips: 28.3540 images/s [10/16 17:12:04] ppdet.engine INFO: Epoch: [255] [260/366] learning_rate: 0.021128 loss_vfl: 0.820553 loss_bbox: 0.302981 loss_dfl: 0.190453 loss: 1.302015 eta: 12:36:30 batch_cost: 2.7667 data_cost: 0.0016 ips: 28.9158 images/s [10/16 17:13:03] ppdet.engine INFO: Epoch: [255] [280/366] learning_rate: 0.021077 loss_vfl: 0.812477 loss_bbox: 0.295173 loss_dfl: 0.190554 loss: 1.302470 eta: 12:35:34 batch_cost: 2.7876 data_cost: 0.0016 ips: 28.6987 images/s [10/16 17:14:02] ppdet.engine INFO: Epoch: [255] [300/366] learning_rate: 0.021026 loss_vfl: 0.832738 loss_bbox: 0.280932 loss_dfl: 0.184896 loss: 1.293643 eta: 12:34:38 batch_cost: 2.7575 data_cost: 0.0018 ips: 29.0115 images/s [10/16 17:14:59] ppdet.engine INFO: Epoch: [255] [320/366] learning_rate: 0.020975 loss_vfl: 0.826439 loss_bbox: 0.285989 loss_dfl: 0.184716 loss: 1.294546 eta: 12:33:42 batch_cost: 2.7224 data_cost: 0.0016 ips: 29.3856 images/s [10/16 17:15:57] ppdet.engine INFO: Epoch: [255] [340/366] learning_rate: 0.020924 loss_vfl: 0.822147 loss_bbox: 0.287897 loss_dfl: 0.189379 loss: 1.298652 eta: 12:32:45 batch_cost: 2.7326 data_cost: 0.0016 ips: 29.2766 images/s [10/16 17:16:49] ppdet.engine INFO: Epoch: [255] [360/366] learning_rate: 0.020873 loss_vfl: 0.814145 loss_bbox: 0.286999 loss_dfl: 0.189671 loss: 1.286261 eta: 12:31:48 batch_cost: 2.4778 data_cost: 0.0016 ips: 32.2865 images/s [10/16 17:17:27] ppdet.engine INFO: Epoch: [256] [ 0/366] learning_rate: 0.020858 loss_vfl: 0.822625 loss_bbox: 0.298874 loss_dfl: 0.192907 loss: 1.313337 eta: 12:31:34 batch_cost: 3.3025 data_cost: 0.4771 ips: 24.2238 images/s [10/16 17:18:30] ppdet.engine INFO: Epoch: [256] [ 20/366] learning_rate: 0.020807 loss_vfl: 0.805457 loss_bbox: 0.289308 loss_dfl: 0.186665 loss: 1.269095 eta: 12:30:39 batch_cost: 3.0113 data_cost: 0.0021 ips: 26.5663 images/s [10/16 17:19:30] ppdet.engine INFO: Epoch: [256] [ 40/366] learning_rate: 0.020756 loss_vfl: 0.817226 loss_bbox: 0.291862 loss_dfl: 0.190065 loss: 1.302380 eta: 12:29:43 batch_cost: 2.8182 data_cost: 0.0019 ips: 28.3867 images/s [10/16 17:20:29] ppdet.engine INFO: Epoch: [256] [ 60/366] learning_rate: 0.020705 loss_vfl: 0.814020 loss_bbox: 0.272337 loss_dfl: 0.181887 loss: 1.270493 eta: 12:28:47 batch_cost: 2.8048 data_cost: 0.0017 ips: 28.5230 images/s [10/16 17:21:29] ppdet.engine INFO: Epoch: [256] [ 80/366] learning_rate: 0.020655 loss_vfl: 0.823251 loss_bbox: 0.307628 loss_dfl: 0.200086 loss: 1.336909 eta: 12:27:51 batch_cost: 2.8806 data_cost: 0.0017 ips: 27.7719 images/s [10/16 17:22:28] ppdet.engine INFO: Epoch: [256] [100/366] learning_rate: 0.020604 loss_vfl: 0.822499 loss_bbox: 0.297851 loss_dfl: 0.190841 loss: 1.318372 eta: 12:26:55 batch_cost: 2.7661 data_cost: 0.0034 ips: 28.9220 images/s [10/16 17:23:27] ppdet.engine INFO: Epoch: [256] [120/366] learning_rate: 0.020553 loss_vfl: 0.818063 loss_bbox: 0.280606 loss_dfl: 0.182422 loss: 1.312534 eta: 12:25:59 batch_cost: 2.7909 data_cost: 0.0017 ips: 28.6642 images/s [10/16 17:24:24] ppdet.engine INFO: Epoch: [256] [140/366] learning_rate: 0.020503 loss_vfl: 0.822829 loss_bbox: 0.291637 loss_dfl: 0.181392 loss: 1.310608 eta: 12:25:03 batch_cost: 2.6993 data_cost: 0.0018 ips: 29.6369 images/s [10/16 17:25:23] ppdet.engine INFO: Epoch: [256] [160/366] learning_rate: 0.020452 loss_vfl: 0.810101 loss_bbox: 0.304853 loss_dfl: 0.197360 loss: 1.320733 eta: 12:24:07 batch_cost: 2.7893 data_cost: 0.0017 ips: 28.6810 images/s [10/16 17:26:20] ppdet.engine INFO: Epoch: [256] [180/366] learning_rate: 0.020402 loss_vfl: 0.821496 loss_bbox: 0.294980 loss_dfl: 0.187752 loss: 1.309799 eta: 12:23:11 batch_cost: 2.7193 data_cost: 0.0016 ips: 29.4197 images/s [10/16 17:27:20] ppdet.engine INFO: Epoch: [256] [200/366] learning_rate: 0.020352 loss_vfl: 0.831146 loss_bbox: 0.293217 loss_dfl: 0.193390 loss: 1.320024 eta: 12:22:15 batch_cost: 2.8690 data_cost: 0.0028 ips: 27.8839 images/s [10/16 17:28:20] ppdet.engine INFO: Epoch: [256] [220/366] learning_rate: 0.020301 loss_vfl: 0.817863 loss_bbox: 0.310789 loss_dfl: 0.195841 loss: 1.297096 eta: 12:21:19 batch_cost: 2.8158 data_cost: 0.0026 ips: 28.4116 images/s [10/16 17:29:19] ppdet.engine INFO: Epoch: [256] [240/366] learning_rate: 0.020251 loss_vfl: 0.834390 loss_bbox: 0.274283 loss_dfl: 0.179720 loss: 1.283981 eta: 12:20:23 batch_cost: 2.7938 data_cost: 0.0017 ips: 28.6352 images/s [10/16 17:30:19] ppdet.engine INFO: Epoch: [256] [260/366] learning_rate: 0.020201 loss_vfl: 0.812021 loss_bbox: 0.287101 loss_dfl: 0.182588 loss: 1.277157 eta: 12:19:27 batch_cost: 2.8801 data_cost: 0.0024 ips: 27.7772 images/s [10/16 17:31:18] ppdet.engine INFO: Epoch: [256] [280/366] learning_rate: 0.020151 loss_vfl: 0.814443 loss_bbox: 0.285685 loss_dfl: 0.182909 loss: 1.282308 eta: 12:18:31 batch_cost: 2.8149 data_cost: 0.0016 ips: 28.4199 images/s [10/16 17:32:17] ppdet.engine INFO: Epoch: [256] [300/366] learning_rate: 0.020101 loss_vfl: 0.828353 loss_bbox: 0.282254 loss_dfl: 0.178858 loss: 1.295419 eta: 12:17:35 batch_cost: 2.7863 data_cost: 0.0023 ips: 28.7124 images/s [10/16 17:33:15] ppdet.engine INFO: Epoch: [256] [320/366] learning_rate: 0.020051 loss_vfl: 0.815265 loss_bbox: 0.269299 loss_dfl: 0.172858 loss: 1.269610 eta: 12:16:39 batch_cost: 2.7710 data_cost: 0.0017 ips: 28.8700 images/s [10/16 17:34:14] ppdet.engine INFO: Epoch: [256] [340/366] learning_rate: 0.020001 loss_vfl: 0.827891 loss_bbox: 0.284491 loss_dfl: 0.186425 loss: 1.309588 eta: 12:15:43 batch_cost: 2.7855 data_cost: 0.0023 ips: 28.7201 images/s [10/16 17:35:09] ppdet.engine INFO: Epoch: [256] [360/366] learning_rate: 0.019951 loss_vfl: 0.827674 loss_bbox: 0.290105 loss_dfl: 0.187312 loss: 1.289303 eta: 12:14:46 batch_cost: 2.5946 data_cost: 0.0016 ips: 30.8337 images/s [10/16 17:35:49] ppdet.engine INFO: Epoch: [257] [ 0/366] learning_rate: 0.019936 loss_vfl: 0.825565 loss_bbox: 0.286356 loss_dfl: 0.184449 loss: 1.285549 eta: 12:14:33 batch_cost: 3.5458 data_cost: 0.7129 ips: 22.5618 images/s [10/16 17:36:49] ppdet.engine INFO: Epoch: [257] [ 20/366] learning_rate: 0.019886 loss_vfl: 0.809837 loss_bbox: 0.327851 loss_dfl: 0.200677 loss: 1.345194 eta: 12:13:37 batch_cost: 2.8461 data_cost: 0.0018 ips: 28.1091 images/s [10/16 17:37:49] ppdet.engine INFO: Epoch: [257] [ 40/366] learning_rate: 0.019837 loss_vfl: 0.821326 loss_bbox: 0.290707 loss_dfl: 0.185458 loss: 1.311440 eta: 12:12:41 batch_cost: 2.8155 data_cost: 0.0016 ips: 28.4143 images/s [10/16 17:38:48] ppdet.engine INFO: Epoch: [257] [ 60/366] learning_rate: 0.019787 loss_vfl: 0.818818 loss_bbox: 0.286309 loss_dfl: 0.187255 loss: 1.299700 eta: 12:11:45 batch_cost: 2.8165 data_cost: 0.0018 ips: 28.4038 images/s [10/16 17:39:47] ppdet.engine INFO: Epoch: [257] [ 80/366] learning_rate: 0.019737 loss_vfl: 0.827461 loss_bbox: 0.287628 loss_dfl: 0.183494 loss: 1.289400 eta: 12:10:49 batch_cost: 2.8140 data_cost: 0.0017 ips: 28.4297 images/s [10/16 17:40:45] ppdet.engine INFO: Epoch: [257] [100/366] learning_rate: 0.019688 loss_vfl: 0.813145 loss_bbox: 0.286240 loss_dfl: 0.181864 loss: 1.286958 eta: 12:09:53 batch_cost: 2.7534 data_cost: 0.0017 ips: 29.0546 images/s [10/16 17:41:44] ppdet.engine INFO: Epoch: [257] [120/366] learning_rate: 0.019638 loss_vfl: 0.823790 loss_bbox: 0.288937 loss_dfl: 0.185858 loss: 1.304273 eta: 12:08:57 batch_cost: 2.7834 data_cost: 0.0017 ips: 28.7417 images/s [10/16 17:42:43] ppdet.engine INFO: Epoch: [257] [140/366] learning_rate: 0.019589 loss_vfl: 0.834844 loss_bbox: 0.282549 loss_dfl: 0.181276 loss: 1.307481 eta: 12:08:01 batch_cost: 2.7874 data_cost: 0.0017 ips: 28.7007 images/s [10/16 17:43:43] ppdet.engine INFO: Epoch: [257] [160/366] learning_rate: 0.019540 loss_vfl: 0.811117 loss_bbox: 0.297300 loss_dfl: 0.189595 loss: 1.310711 eta: 12:07:05 batch_cost: 2.8709 data_cost: 0.0017 ips: 27.8660 images/s [10/16 17:44:43] ppdet.engine INFO: Epoch: [257] [180/366] learning_rate: 0.019490 loss_vfl: 0.816128 loss_bbox: 0.297278 loss_dfl: 0.191556 loss: 1.298425 eta: 12:06:09 batch_cost: 2.8204 data_cost: 0.0020 ips: 28.3648 images/s [10/16 17:45:42] ppdet.engine INFO: Epoch: [257] [200/366] learning_rate: 0.019441 loss_vfl: 0.821607 loss_bbox: 0.285418 loss_dfl: 0.185880 loss: 1.274922 eta: 12:05:13 batch_cost: 2.7927 data_cost: 0.0017 ips: 28.6463 images/s [10/16 17:46:40] ppdet.engine INFO: Epoch: [257] [220/366] learning_rate: 0.019392 loss_vfl: 0.814877 loss_bbox: 0.306506 loss_dfl: 0.190164 loss: 1.315174 eta: 12:04:17 batch_cost: 2.7899 data_cost: 0.0016 ips: 28.6753 images/s [10/16 17:47:39] ppdet.engine INFO: Epoch: [257] [240/366] learning_rate: 0.019343 loss_vfl: 0.814228 loss_bbox: 0.287697 loss_dfl: 0.181658 loss: 1.273196 eta: 12:03:21 batch_cost: 2.7847 data_cost: 0.0017 ips: 28.7289 images/s [10/16 17:48:38] ppdet.engine INFO: Epoch: [257] [260/366] learning_rate: 0.019294 loss_vfl: 0.818128 loss_bbox: 0.286427 loss_dfl: 0.185876 loss: 1.304575 eta: 12:02:25 batch_cost: 2.7660 data_cost: 0.0026 ips: 28.9222 images/s [10/16 17:49:36] ppdet.engine INFO: Epoch: [257] [280/366] learning_rate: 0.019245 loss_vfl: 0.826497 loss_bbox: 0.276228 loss_dfl: 0.183793 loss: 1.297994 eta: 12:01:29 batch_cost: 2.7616 data_cost: 0.0023 ips: 28.9687 images/s [10/16 17:50:36] ppdet.engine INFO: Epoch: [257] [300/366] learning_rate: 0.019196 loss_vfl: 0.823123 loss_bbox: 0.285855 loss_dfl: 0.184099 loss: 1.288903 eta: 12:00:33 batch_cost: 2.8472 data_cost: 0.0024 ips: 28.0979 images/s [10/16 17:51:36] ppdet.engine INFO: Epoch: [257] [320/366] learning_rate: 0.019147 loss_vfl: 0.811266 loss_bbox: 0.288799 loss_dfl: 0.186998 loss: 1.288066 eta: 11:59:37 batch_cost: 2.8077 data_cost: 0.0017 ips: 28.4927 images/s [10/16 17:52:35] ppdet.engine INFO: Epoch: [257] [340/366] learning_rate: 0.019098 loss_vfl: 0.837194 loss_bbox: 0.278410 loss_dfl: 0.180894 loss: 1.307710 eta: 11:58:41 batch_cost: 2.8249 data_cost: 0.0029 ips: 28.3198 images/s [10/16 17:53:29] ppdet.engine INFO: Epoch: [257] [360/366] learning_rate: 0.019049 loss_vfl: 0.809820 loss_bbox: 0.313798 loss_dfl: 0.197239 loss: 1.324290 eta: 11:57:44 batch_cost: 2.5522 data_cost: 0.0017 ips: 31.3453 images/s [10/16 17:54:07] ppdet.engine INFO: Epoch: [258] [ 0/366] learning_rate: 0.019035 loss_vfl: 0.824183 loss_bbox: 0.295239 loss_dfl: 0.194395 loss: 1.323816 eta: 11:57:30 batch_cost: 3.3894 data_cost: 0.5923 ips: 23.6028 images/s [10/16 17:55:12] ppdet.engine INFO: Epoch: [258] [ 20/366] learning_rate: 0.018986 loss_vfl: 0.822549 loss_bbox: 0.297612 loss_dfl: 0.201319 loss: 1.291294 eta: 11:56:34 batch_cost: 3.0230 data_cost: 0.0029 ips: 26.4641 images/s [10/16 17:56:12] ppdet.engine INFO: Epoch: [258] [ 40/366] learning_rate: 0.018937 loss_vfl: 0.826078 loss_bbox: 0.284923 loss_dfl: 0.187362 loss: 1.297960 eta: 11:55:39 batch_cost: 2.8584 data_cost: 0.0031 ips: 27.9874 images/s [10/16 17:57:11] ppdet.engine INFO: Epoch: [258] [ 60/366] learning_rate: 0.018889 loss_vfl: 0.806460 loss_bbox: 0.286839 loss_dfl: 0.185254 loss: 1.269284 eta: 11:54:43 batch_cost: 2.7988 data_cost: 0.0017 ips: 28.5837 images/s [10/16 17:58:09] ppdet.engine INFO: Epoch: [258] [ 80/366] learning_rate: 0.018840 loss_vfl: 0.811990 loss_bbox: 0.289878 loss_dfl: 0.186120 loss: 1.298118 eta: 11:53:47 batch_cost: 2.7681 data_cost: 0.0017 ips: 28.9003 images/s [10/16 17:59:08] ppdet.engine INFO: Epoch: [258] [100/366] learning_rate: 0.018792 loss_vfl: 0.822227 loss_bbox: 0.306205 loss_dfl: 0.191382 loss: 1.336188 eta: 11:52:51 batch_cost: 2.8012 data_cost: 0.0027 ips: 28.5594 images/s [10/16 18:00:07] ppdet.engine INFO: Epoch: [258] [120/366] learning_rate: 0.018743 loss_vfl: 0.812214 loss_bbox: 0.303430 loss_dfl: 0.187006 loss: 1.302078 eta: 11:51:54 batch_cost: 2.7816 data_cost: 0.0017 ips: 28.7607 images/s [10/16 18:01:06] ppdet.engine INFO: Epoch: [258] [140/366] learning_rate: 0.018695 loss_vfl: 0.820822 loss_bbox: 0.278625 loss_dfl: 0.180372 loss: 1.280453 eta: 11:50:58 batch_cost: 2.7863 data_cost: 0.0016 ips: 28.7122 images/s [10/16 18:02:04] ppdet.engine INFO: Epoch: [258] [160/366] learning_rate: 0.018647 loss_vfl: 0.832899 loss_bbox: 0.288615 loss_dfl: 0.185135 loss: 1.318634 eta: 11:50:02 batch_cost: 2.7570 data_cost: 0.0023 ips: 29.0174 images/s [10/16 18:03:03] ppdet.engine INFO: Epoch: [258] [180/366] learning_rate: 0.018598 loss_vfl: 0.811876 loss_bbox: 0.295360 loss_dfl: 0.187001 loss: 1.308260 eta: 11:49:06 batch_cost: 2.7705 data_cost: 0.0016 ips: 28.8761 images/s [10/16 18:04:01] ppdet.engine INFO: Epoch: [258] [200/366] learning_rate: 0.018550 loss_vfl: 0.819635 loss_bbox: 0.285724 loss_dfl: 0.187086 loss: 1.290121 eta: 11:48:10 batch_cost: 2.7829 data_cost: 0.0023 ips: 28.7465 images/s [10/16 18:05:00] ppdet.engine INFO: Epoch: [258] [220/366] learning_rate: 0.018502 loss_vfl: 0.828175 loss_bbox: 0.289605 loss_dfl: 0.185845 loss: 1.306004 eta: 11:47:14 batch_cost: 2.7992 data_cost: 0.0023 ips: 28.5797 images/s [10/16 18:05:59] ppdet.engine INFO: Epoch: [258] [240/366] learning_rate: 0.018454 loss_vfl: 0.819889 loss_bbox: 0.313263 loss_dfl: 0.196946 loss: 1.309216 eta: 11:46:18 batch_cost: 2.7669 data_cost: 0.0017 ips: 28.9133 images/s [10/16 18:06:57] ppdet.engine INFO: Epoch: [258] [260/366] learning_rate: 0.018406 loss_vfl: 0.823029 loss_bbox: 0.290808 loss_dfl: 0.183064 loss: 1.294906 eta: 11:45:22 batch_cost: 2.7627 data_cost: 0.0038 ips: 28.9573 images/s [10/16 18:07:54] ppdet.engine INFO: Epoch: [258] [280/366] learning_rate: 0.018358 loss_vfl: 0.819641 loss_bbox: 0.304401 loss_dfl: 0.200768 loss: 1.319767 eta: 11:44:26 batch_cost: 2.7133 data_cost: 0.0017 ips: 29.4844 images/s [10/16 18:08:54] ppdet.engine INFO: Epoch: [258] [300/366] learning_rate: 0.018310 loss_vfl: 0.822394 loss_bbox: 0.276823 loss_dfl: 0.184564 loss: 1.291354 eta: 11:43:30 batch_cost: 2.8172 data_cost: 0.0019 ips: 28.3965 images/s [10/16 18:09:54] ppdet.engine INFO: Epoch: [258] [320/366] learning_rate: 0.018263 loss_vfl: 0.819581 loss_bbox: 0.283782 loss_dfl: 0.184905 loss: 1.272695 eta: 11:42:34 batch_cost: 2.8527 data_cost: 0.0017 ips: 28.0431 images/s [10/16 18:10:53] ppdet.engine INFO: Epoch: [258] [340/366] learning_rate: 0.018215 loss_vfl: 0.804473 loss_bbox: 0.292459 loss_dfl: 0.186907 loss: 1.271506 eta: 11:41:38 batch_cost: 2.8221 data_cost: 0.0017 ips: 28.3476 images/s [10/16 18:11:47] ppdet.engine INFO: Epoch: [258] [360/366] learning_rate: 0.018167 loss_vfl: 0.819086 loss_bbox: 0.295448 loss_dfl: 0.185206 loss: 1.310658 eta: 11:40:41 batch_cost: 2.5341 data_cost: 0.0018 ips: 31.5689 images/s [10/16 18:12:26] ppdet.engine INFO: Epoch: [259] [ 0/366] learning_rate: 0.018153 loss_vfl: 0.820021 loss_bbox: 0.275646 loss_dfl: 0.173353 loss: 1.284403 eta: 11:40:27 batch_cost: 3.3880 data_cost: 0.3912 ips: 23.6125 images/s [10/16 18:13:28] ppdet.engine INFO: Epoch: [259] [ 20/366] learning_rate: 0.018105 loss_vfl: 0.818877 loss_bbox: 0.294910 loss_dfl: 0.186471 loss: 1.290559 eta: 11:39:31 batch_cost: 2.9463 data_cost: 0.0019 ips: 27.1524 images/s [10/16 18:14:28] ppdet.engine INFO: Epoch: [259] [ 40/366] learning_rate: 0.018058 loss_vfl: 0.817313 loss_bbox: 0.283903 loss_dfl: 0.186964 loss: 1.300413 eta: 11:38:35 batch_cost: 2.8533 data_cost: 0.0026 ips: 28.0378 images/s [10/16 18:15:29] ppdet.engine INFO: Epoch: [259] [ 60/366] learning_rate: 0.018010 loss_vfl: 0.819209 loss_bbox: 0.294138 loss_dfl: 0.196587 loss: 1.286482 eta: 11:37:40 batch_cost: 2.8968 data_cost: 0.0017 ips: 27.6166 images/s [10/16 18:16:28] ppdet.engine INFO: Epoch: [259] [ 80/366] learning_rate: 0.017963 loss_vfl: 0.830209 loss_bbox: 0.286972 loss_dfl: 0.185511 loss: 1.295065 eta: 11:36:44 batch_cost: 2.8346 data_cost: 0.0017 ips: 28.2230 images/s [10/16 18:17:27] ppdet.engine INFO: Epoch: [259] [100/366] learning_rate: 0.017915 loss_vfl: 0.819711 loss_bbox: 0.285800 loss_dfl: 0.183372 loss: 1.290303 eta: 11:35:48 batch_cost: 2.7826 data_cost: 0.0017 ips: 28.7502 images/s [10/16 18:18:27] ppdet.engine INFO: Epoch: [259] [120/366] learning_rate: 0.017868 loss_vfl: 0.804942 loss_bbox: 0.274406 loss_dfl: 0.181190 loss: 1.270424 eta: 11:34:52 batch_cost: 2.8362 data_cost: 0.0017 ips: 28.2071 images/s [10/16 18:19:26] ppdet.engine INFO: Epoch: [259] [140/366] learning_rate: 0.017821 loss_vfl: 0.812237 loss_bbox: 0.279487 loss_dfl: 0.184667 loss: 1.276254 eta: 11:33:56 batch_cost: 2.8330 data_cost: 0.0023 ips: 28.2383 images/s [10/16 18:20:25] ppdet.engine INFO: Epoch: [259] [160/366] learning_rate: 0.017774 loss_vfl: 0.812756 loss_bbox: 0.311172 loss_dfl: 0.193734 loss: 1.310240 eta: 11:33:00 batch_cost: 2.8078 data_cost: 0.0024 ips: 28.4917 images/s [10/16 18:21:24] ppdet.engine INFO: Epoch: [259] [180/366] learning_rate: 0.017726 loss_vfl: 0.818520 loss_bbox: 0.278898 loss_dfl: 0.178110 loss: 1.275729 eta: 11:32:04 batch_cost: 2.7712 data_cost: 0.0017 ips: 28.8685 images/s [10/16 18:22:22] ppdet.engine INFO: Epoch: [259] [200/366] learning_rate: 0.017679 loss_vfl: 0.817465 loss_bbox: 0.286072 loss_dfl: 0.186779 loss: 1.269845 eta: 11:31:08 batch_cost: 2.7642 data_cost: 0.0023 ips: 28.9413 images/s [10/16 18:23:20] ppdet.engine INFO: Epoch: [259] [220/366] learning_rate: 0.017632 loss_vfl: 0.810400 loss_bbox: 0.284074 loss_dfl: 0.181093 loss: 1.281732 eta: 11:30:12 batch_cost: 2.7600 data_cost: 0.0016 ips: 28.9860 images/s [10/16 18:24:19] ppdet.engine INFO: Epoch: [259] [240/366] learning_rate: 0.017585 loss_vfl: 0.822776 loss_bbox: 0.295510 loss_dfl: 0.189013 loss: 1.317639 eta: 11:29:15 batch_cost: 2.7816 data_cost: 0.0016 ips: 28.7605 images/s [10/16 18:25:18] ppdet.engine INFO: Epoch: [259] [260/366] learning_rate: 0.017538 loss_vfl: 0.808639 loss_bbox: 0.288233 loss_dfl: 0.185545 loss: 1.300116 eta: 11:28:19 batch_cost: 2.7910 data_cost: 0.0017 ips: 28.6639 images/s [10/16 18:26:17] ppdet.engine INFO: Epoch: [259] [280/366] learning_rate: 0.017492 loss_vfl: 0.806279 loss_bbox: 0.305176 loss_dfl: 0.191008 loss: 1.299834 eta: 11:27:23 batch_cost: 2.8013 data_cost: 0.0016 ips: 28.5580 images/s [10/16 18:27:17] ppdet.engine INFO: Epoch: [259] [300/366] learning_rate: 0.017445 loss_vfl: 0.815693 loss_bbox: 0.301373 loss_dfl: 0.189552 loss: 1.291751 eta: 11:26:28 batch_cost: 2.8561 data_cost: 0.0031 ips: 28.0102 images/s [10/16 18:28:15] ppdet.engine INFO: Epoch: [259] [320/366] learning_rate: 0.017398 loss_vfl: 0.832600 loss_bbox: 0.289118 loss_dfl: 0.186347 loss: 1.309994 eta: 11:25:31 batch_cost: 2.7737 data_cost: 0.0023 ips: 28.8425 images/s [10/16 18:29:14] ppdet.engine INFO: Epoch: [259] [340/366] learning_rate: 0.017351 loss_vfl: 0.820627 loss_bbox: 0.283859 loss_dfl: 0.188883 loss: 1.282842 eta: 11:24:35 batch_cost: 2.7602 data_cost: 0.0016 ips: 28.9834 images/s [10/16 18:30:07] ppdet.engine INFO: Epoch: [259] [360/366] learning_rate: 0.017305 loss_vfl: 0.815682 loss_bbox: 0.279858 loss_dfl: 0.180552 loss: 1.279069 eta: 11:23:38 batch_cost: 2.5380 data_cost: 0.0016 ips: 31.5207 images/s [10/16 18:30:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 18:30:23] ppdet.engine INFO: Eval iter: 0 [10/16 18:31:03] ppdet.engine INFO: Eval iter: 100 [10/16 18:31:27] ppdet.engine INFO: Eval iter: 200 [10/16 18:31:50] ppdet.engine INFO: Eval iter: 300 [10/16 18:32:13] ppdet.engine INFO: Eval iter: 400 [10/16 18:32:37] ppdet.engine INFO: Eval iter: 500 [10/16 18:32:59] ppdet.engine INFO: Eval iter: 600 [10/16 18:33:21] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.66s) creating index... index created! [10/16 18:33:22] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.92s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.98s). Accumulating evaluation results... DONE (t=17.91s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.453 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.315 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.106 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.435 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.197 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.515 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.707 [10/16 18:35:24] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.460424295709153 [10/16 18:35:24] ppdet.engine INFO: Best test bbox ap is 0.304. [10/16 18:35:27] ppdet.engine INFO: Epoch: [260] [ 0/366] learning_rate: 0.017291 loss_vfl: 0.814145 loss_bbox: 0.287748 loss_dfl: 0.178204 loss: 1.290424 eta: 11:23:21 batch_cost: 2.3311 data_cost: 0.0016 ips: 34.3185 images/s [10/16 18:36:26] ppdet.engine INFO: Epoch: [260] [ 20/366] learning_rate: 0.017244 loss_vfl: 0.812092 loss_bbox: 0.310863 loss_dfl: 0.192828 loss: 1.312567 eta: 11:22:25 batch_cost: 2.8196 data_cost: 0.0019 ips: 28.3724 images/s [10/16 18:37:26] ppdet.engine INFO: Epoch: [260] [ 40/366] learning_rate: 0.017198 loss_vfl: 0.817327 loss_bbox: 0.294612 loss_dfl: 0.191746 loss: 1.313627 eta: 11:21:29 batch_cost: 2.8196 data_cost: 0.0017 ips: 28.3725 images/s [10/16 18:38:26] ppdet.engine INFO: Epoch: [260] [ 60/366] learning_rate: 0.017152 loss_vfl: 0.829436 loss_bbox: 0.284367 loss_dfl: 0.187283 loss: 1.310895 eta: 11:20:33 batch_cost: 2.8388 data_cost: 0.0036 ips: 28.1809 images/s [10/16 18:39:26] ppdet.engine INFO: Epoch: [260] [ 80/366] learning_rate: 0.017105 loss_vfl: 0.830864 loss_bbox: 0.296516 loss_dfl: 0.190669 loss: 1.309292 eta: 11:19:37 batch_cost: 2.8536 data_cost: 0.0018 ips: 28.0344 images/s [10/16 18:40:25] ppdet.engine INFO: Epoch: [260] [100/366] learning_rate: 0.017059 loss_vfl: 0.825094 loss_bbox: 0.299075 loss_dfl: 0.187659 loss: 1.312583 eta: 11:18:41 batch_cost: 2.7824 data_cost: 0.0017 ips: 28.7520 images/s [10/16 18:41:23] ppdet.engine INFO: Epoch: [260] [120/366] learning_rate: 0.017013 loss_vfl: 0.809362 loss_bbox: 0.282751 loss_dfl: 0.182142 loss: 1.289650 eta: 11:17:45 batch_cost: 2.7255 data_cost: 0.0023 ips: 29.3526 images/s [10/16 18:42:22] ppdet.engine INFO: Epoch: [260] [140/366] learning_rate: 0.016967 loss_vfl: 0.816283 loss_bbox: 0.287218 loss_dfl: 0.184385 loss: 1.300619 eta: 11:16:49 batch_cost: 2.8103 data_cost: 0.0035 ips: 28.4666 images/s [10/16 18:43:20] ppdet.engine INFO: Epoch: [260] [160/366] learning_rate: 0.016920 loss_vfl: 0.830664 loss_bbox: 0.302365 loss_dfl: 0.189381 loss: 1.316043 eta: 11:15:53 batch_cost: 2.7668 data_cost: 0.0019 ips: 28.9140 images/s [10/16 18:44:20] ppdet.engine INFO: Epoch: [260] [180/366] learning_rate: 0.016874 loss_vfl: 0.811855 loss_bbox: 0.296678 loss_dfl: 0.192873 loss: 1.297658 eta: 11:14:57 batch_cost: 2.8646 data_cost: 0.0036 ips: 27.9275 images/s [10/16 18:45:19] ppdet.engine INFO: Epoch: [260] [200/366] learning_rate: 0.016828 loss_vfl: 0.816941 loss_bbox: 0.306031 loss_dfl: 0.186625 loss: 1.317335 eta: 11:14:01 batch_cost: 2.7793 data_cost: 0.0017 ips: 28.7838 images/s [10/16 18:46:18] ppdet.engine INFO: Epoch: [260] [220/366] learning_rate: 0.016782 loss_vfl: 0.812802 loss_bbox: 0.280159 loss_dfl: 0.180827 loss: 1.279291 eta: 11:13:05 batch_cost: 2.7849 data_cost: 0.0017 ips: 28.7265 images/s [10/16 18:47:16] ppdet.engine INFO: Epoch: [260] [240/366] learning_rate: 0.016737 loss_vfl: 0.808451 loss_bbox: 0.305227 loss_dfl: 0.186517 loss: 1.303475 eta: 11:12:09 batch_cost: 2.7523 data_cost: 0.0028 ips: 29.0661 images/s [10/16 18:48:14] ppdet.engine INFO: Epoch: [260] [260/366] learning_rate: 0.016691 loss_vfl: 0.817476 loss_bbox: 0.287217 loss_dfl: 0.184341 loss: 1.299507 eta: 11:11:13 batch_cost: 2.7563 data_cost: 0.0029 ips: 29.0242 images/s [10/16 18:49:13] ppdet.engine INFO: Epoch: [260] [280/366] learning_rate: 0.016645 loss_vfl: 0.824715 loss_bbox: 0.298317 loss_dfl: 0.188557 loss: 1.300037 eta: 11:10:17 batch_cost: 2.8071 data_cost: 0.0018 ips: 28.4992 images/s [10/16 18:50:11] ppdet.engine INFO: Epoch: [260] [300/366] learning_rate: 0.016599 loss_vfl: 0.806401 loss_bbox: 0.281306 loss_dfl: 0.189180 loss: 1.279590 eta: 11:09:21 batch_cost: 2.7570 data_cost: 0.0016 ips: 29.0170 images/s [10/16 18:51:10] ppdet.engine INFO: Epoch: [260] [320/366] learning_rate: 0.016554 loss_vfl: 0.810966 loss_bbox: 0.283671 loss_dfl: 0.181463 loss: 1.286829 eta: 11:08:25 batch_cost: 2.7902 data_cost: 0.0017 ips: 28.6715 images/s [10/16 18:52:08] ppdet.engine INFO: Epoch: [260] [340/366] learning_rate: 0.016508 loss_vfl: 0.820920 loss_bbox: 0.306319 loss_dfl: 0.195949 loss: 1.301441 eta: 11:07:28 batch_cost: 2.7357 data_cost: 0.0023 ips: 29.2427 images/s [10/16 18:53:00] ppdet.engine INFO: Epoch: [260] [360/366] learning_rate: 0.016463 loss_vfl: 0.823932 loss_bbox: 0.277604 loss_dfl: 0.179217 loss: 1.301899 eta: 11:06:31 batch_cost: 2.4662 data_cost: 0.0029 ips: 32.4380 images/s [10/16 18:53:40] ppdet.engine INFO: Epoch: [261] [ 0/366] learning_rate: 0.016449 loss_vfl: 0.814005 loss_bbox: 0.292668 loss_dfl: 0.180710 loss: 1.301500 eta: 11:06:17 batch_cost: 3.4439 data_cost: 0.5374 ips: 23.2297 images/s [10/16 18:54:40] ppdet.engine INFO: Epoch: [261] [ 20/366] learning_rate: 0.016404 loss_vfl: 0.817345 loss_bbox: 0.271887 loss_dfl: 0.180315 loss: 1.274272 eta: 11:05:21 batch_cost: 2.8234 data_cost: 0.0020 ips: 28.3344 images/s [10/16 18:55:41] ppdet.engine INFO: Epoch: [261] [ 40/366] learning_rate: 0.016358 loss_vfl: 0.815679 loss_bbox: 0.301291 loss_dfl: 0.187449 loss: 1.309882 eta: 11:04:26 batch_cost: 2.8904 data_cost: 0.0018 ips: 27.6780 images/s [10/16 18:56:40] ppdet.engine INFO: Epoch: [261] [ 60/366] learning_rate: 0.016313 loss_vfl: 0.823992 loss_bbox: 0.285707 loss_dfl: 0.181578 loss: 1.283811 eta: 11:03:30 batch_cost: 2.7883 data_cost: 0.0024 ips: 28.6916 images/s [10/16 18:57:39] ppdet.engine INFO: Epoch: [261] [ 80/366] learning_rate: 0.016268 loss_vfl: 0.810617 loss_bbox: 0.284616 loss_dfl: 0.187365 loss: 1.280641 eta: 11:02:34 batch_cost: 2.7896 data_cost: 0.0017 ips: 28.6784 images/s [10/16 18:58:37] ppdet.engine INFO: Epoch: [261] [100/366] learning_rate: 0.016223 loss_vfl: 0.807609 loss_bbox: 0.295800 loss_dfl: 0.190181 loss: 1.286018 eta: 11:01:37 batch_cost: 2.7397 data_cost: 0.0034 ips: 29.2005 images/s [10/16 18:59:35] ppdet.engine INFO: Epoch: [261] [120/366] learning_rate: 0.016177 loss_vfl: 0.820278 loss_bbox: 0.294814 loss_dfl: 0.185623 loss: 1.298279 eta: 11:00:41 batch_cost: 2.7626 data_cost: 0.0017 ips: 28.9580 images/s [10/16 19:00:33] ppdet.engine INFO: Epoch: [261] [140/366] learning_rate: 0.016132 loss_vfl: 0.808566 loss_bbox: 0.288469 loss_dfl: 0.183261 loss: 1.277476 eta: 10:59:45 batch_cost: 2.7831 data_cost: 0.0017 ips: 28.7446 images/s [10/16 19:01:32] ppdet.engine INFO: Epoch: [261] [160/366] learning_rate: 0.016087 loss_vfl: 0.817411 loss_bbox: 0.289491 loss_dfl: 0.184070 loss: 1.292618 eta: 10:58:49 batch_cost: 2.7822 data_cost: 0.0017 ips: 28.7544 images/s [10/16 19:02:31] ppdet.engine INFO: Epoch: [261] [180/366] learning_rate: 0.016042 loss_vfl: 0.811354 loss_bbox: 0.302803 loss_dfl: 0.187996 loss: 1.303070 eta: 10:57:53 batch_cost: 2.7679 data_cost: 0.0017 ips: 28.9026 images/s [10/16 19:03:30] ppdet.engine INFO: Epoch: [261] [200/366] learning_rate: 0.015998 loss_vfl: 0.821904 loss_bbox: 0.287713 loss_dfl: 0.181484 loss: 1.301610 eta: 10:56:57 batch_cost: 2.8031 data_cost: 0.0017 ips: 28.5394 images/s [10/16 19:04:28] ppdet.engine INFO: Epoch: [261] [220/366] learning_rate: 0.015953 loss_vfl: 0.812688 loss_bbox: 0.289465 loss_dfl: 0.186130 loss: 1.281087 eta: 10:56:01 batch_cost: 2.7537 data_cost: 0.0035 ips: 29.0518 images/s [10/16 19:05:27] ppdet.engine INFO: Epoch: [261] [240/366] learning_rate: 0.015908 loss_vfl: 0.803542 loss_bbox: 0.305371 loss_dfl: 0.188101 loss: 1.290804 eta: 10:55:05 batch_cost: 2.7833 data_cost: 0.0024 ips: 28.7433 images/s [10/16 19:06:25] ppdet.engine INFO: Epoch: [261] [260/366] learning_rate: 0.015863 loss_vfl: 0.813495 loss_bbox: 0.281237 loss_dfl: 0.180194 loss: 1.271419 eta: 10:54:09 batch_cost: 2.7684 data_cost: 0.0017 ips: 28.8971 images/s [10/16 19:07:24] ppdet.engine INFO: Epoch: [261] [280/366] learning_rate: 0.015819 loss_vfl: 0.816616 loss_bbox: 0.289689 loss_dfl: 0.185015 loss: 1.293049 eta: 10:53:13 batch_cost: 2.7701 data_cost: 0.0024 ips: 28.8801 images/s [10/16 19:08:24] ppdet.engine INFO: Epoch: [261] [300/366] learning_rate: 0.015774 loss_vfl: 0.819664 loss_bbox: 0.282349 loss_dfl: 0.186306 loss: 1.277600 eta: 10:52:17 batch_cost: 2.8331 data_cost: 0.0036 ips: 28.2376 images/s [10/16 19:09:22] ppdet.engine INFO: Epoch: [261] [320/366] learning_rate: 0.015730 loss_vfl: 0.820423 loss_bbox: 0.293280 loss_dfl: 0.179080 loss: 1.285703 eta: 10:51:21 batch_cost: 2.7741 data_cost: 0.0017 ips: 28.8378 images/s [10/16 19:10:20] ppdet.engine INFO: Epoch: [261] [340/366] learning_rate: 0.015685 loss_vfl: 0.810528 loss_bbox: 0.285088 loss_dfl: 0.183252 loss: 1.292526 eta: 10:50:24 batch_cost: 2.7785 data_cost: 0.0018 ips: 28.7924 images/s [10/16 19:11:15] ppdet.engine INFO: Epoch: [261] [360/366] learning_rate: 0.015641 loss_vfl: 0.817435 loss_bbox: 0.282841 loss_dfl: 0.185433 loss: 1.290339 eta: 10:49:28 batch_cost: 2.5863 data_cost: 0.0016 ips: 30.9323 images/s [10/16 19:11:53] ppdet.engine INFO: Epoch: [262] [ 0/366] learning_rate: 0.015627 loss_vfl: 0.812306 loss_bbox: 0.283341 loss_dfl: 0.185275 loss: 1.283528 eta: 10:49:13 batch_cost: 3.3462 data_cost: 0.4873 ips: 23.9077 images/s [10/16 19:12:57] ppdet.engine INFO: Epoch: [262] [ 20/366] learning_rate: 0.015583 loss_vfl: 0.801536 loss_bbox: 0.292242 loss_dfl: 0.187189 loss: 1.280413 eta: 10:48:18 batch_cost: 3.0786 data_cost: 0.0017 ips: 25.9862 images/s [10/16 19:13:57] ppdet.engine INFO: Epoch: [262] [ 40/366] learning_rate: 0.015539 loss_vfl: 0.816094 loss_bbox: 0.305227 loss_dfl: 0.196460 loss: 1.321487 eta: 10:47:22 batch_cost: 2.8357 data_cost: 0.0028 ips: 28.2114 images/s [10/16 19:14:57] ppdet.engine INFO: Epoch: [262] [ 60/366] learning_rate: 0.015495 loss_vfl: 0.811955 loss_bbox: 0.286589 loss_dfl: 0.182447 loss: 1.275235 eta: 10:46:26 batch_cost: 2.8311 data_cost: 0.0017 ips: 28.2573 images/s [10/16 19:15:55] ppdet.engine INFO: Epoch: [262] [ 80/366] learning_rate: 0.015450 loss_vfl: 0.807930 loss_bbox: 0.294820 loss_dfl: 0.186832 loss: 1.302737 eta: 10:45:30 batch_cost: 2.7416 data_cost: 0.0016 ips: 29.1801 images/s [10/16 19:16:54] ppdet.engine INFO: Epoch: [262] [100/366] learning_rate: 0.015406 loss_vfl: 0.827344 loss_bbox: 0.312751 loss_dfl: 0.195141 loss: 1.332574 eta: 10:44:34 batch_cost: 2.8206 data_cost: 0.0017 ips: 28.3632 images/s [10/16 19:17:53] ppdet.engine INFO: Epoch: [262] [120/366] learning_rate: 0.015362 loss_vfl: 0.807284 loss_bbox: 0.293218 loss_dfl: 0.190664 loss: 1.304329 eta: 10:43:38 batch_cost: 2.8053 data_cost: 0.0017 ips: 28.5172 images/s [10/16 19:18:52] ppdet.engine INFO: Epoch: [262] [140/366] learning_rate: 0.015318 loss_vfl: 0.815717 loss_bbox: 0.288725 loss_dfl: 0.198765 loss: 1.298056 eta: 10:42:42 batch_cost: 2.8082 data_cost: 0.0016 ips: 28.4881 images/s [10/16 19:19:51] ppdet.engine INFO: Epoch: [262] [160/366] learning_rate: 0.015275 loss_vfl: 0.813606 loss_bbox: 0.298996 loss_dfl: 0.184761 loss: 1.307660 eta: 10:41:46 batch_cost: 2.7784 data_cost: 0.0017 ips: 28.7933 images/s [10/16 19:20:49] ppdet.engine INFO: Epoch: [262] [180/366] learning_rate: 0.015231 loss_vfl: 0.810361 loss_bbox: 0.293222 loss_dfl: 0.182889 loss: 1.293740 eta: 10:40:50 batch_cost: 2.7780 data_cost: 0.0017 ips: 28.7981 images/s [10/16 19:21:48] ppdet.engine INFO: Epoch: [262] [200/366] learning_rate: 0.015187 loss_vfl: 0.827743 loss_bbox: 0.305959 loss_dfl: 0.189908 loss: 1.312313 eta: 10:39:54 batch_cost: 2.8069 data_cost: 0.0039 ips: 28.5010 images/s [10/16 19:22:48] ppdet.engine INFO: Epoch: [262] [220/366] learning_rate: 0.015143 loss_vfl: 0.806673 loss_bbox: 0.283515 loss_dfl: 0.184447 loss: 1.275712 eta: 10:38:58 batch_cost: 2.8009 data_cost: 0.0017 ips: 28.5621 images/s [10/16 19:23:45] ppdet.engine INFO: Epoch: [262] [240/366] learning_rate: 0.015100 loss_vfl: 0.812228 loss_bbox: 0.296820 loss_dfl: 0.192664 loss: 1.296940 eta: 10:38:02 batch_cost: 2.7236 data_cost: 0.0017 ips: 29.3732 images/s [10/16 19:24:44] ppdet.engine INFO: Epoch: [262] [260/366] learning_rate: 0.015056 loss_vfl: 0.817842 loss_bbox: 0.297470 loss_dfl: 0.187361 loss: 1.298206 eta: 10:37:06 batch_cost: 2.7947 data_cost: 0.0017 ips: 28.6253 images/s [10/16 19:25:44] ppdet.engine INFO: Epoch: [262] [280/366] learning_rate: 0.015012 loss_vfl: 0.817301 loss_bbox: 0.279039 loss_dfl: 0.185097 loss: 1.281337 eta: 10:36:10 batch_cost: 2.8245 data_cost: 0.0016 ips: 28.3232 images/s [10/16 19:26:45] ppdet.engine INFO: Epoch: [262] [300/366] learning_rate: 0.014969 loss_vfl: 0.814299 loss_bbox: 0.304719 loss_dfl: 0.195112 loss: 1.321639 eta: 10:35:14 batch_cost: 2.8917 data_cost: 0.0033 ips: 27.6657 images/s [10/16 19:27:45] ppdet.engine INFO: Epoch: [262] [320/366] learning_rate: 0.014926 loss_vfl: 0.807966 loss_bbox: 0.278846 loss_dfl: 0.182819 loss: 1.266441 eta: 10:34:18 batch_cost: 2.8262 data_cost: 0.0016 ips: 28.3071 images/s [10/16 19:28:44] ppdet.engine INFO: Epoch: [262] [340/366] learning_rate: 0.014882 loss_vfl: 0.812956 loss_bbox: 0.290384 loss_dfl: 0.187047 loss: 1.297192 eta: 10:33:22 batch_cost: 2.8101 data_cost: 0.0017 ips: 28.4690 images/s [10/16 19:29:38] ppdet.engine INFO: Epoch: [262] [360/366] learning_rate: 0.014839 loss_vfl: 0.833120 loss_bbox: 0.295861 loss_dfl: 0.186338 loss: 1.301552 eta: 10:32:25 batch_cost: 2.5257 data_cost: 0.0017 ips: 31.6746 images/s [10/16 19:30:17] ppdet.engine INFO: Epoch: [263] [ 0/366] learning_rate: 0.014826 loss_vfl: 0.827797 loss_bbox: 0.289588 loss_dfl: 0.183608 loss: 1.300627 eta: 10:32:11 batch_cost: 3.4298 data_cost: 0.6345 ips: 23.3252 images/s [10/16 19:31:17] ppdet.engine INFO: Epoch: [263] [ 20/366] learning_rate: 0.014783 loss_vfl: 0.814410 loss_bbox: 0.284423 loss_dfl: 0.190644 loss: 1.293219 eta: 10:31:15 batch_cost: 2.8378 data_cost: 0.0017 ips: 28.1905 images/s [10/16 19:32:17] ppdet.engine INFO: Epoch: [263] [ 40/366] learning_rate: 0.014740 loss_vfl: 0.806191 loss_bbox: 0.293475 loss_dfl: 0.186276 loss: 1.292037 eta: 10:30:19 batch_cost: 2.8449 data_cost: 0.0028 ips: 28.1200 images/s [10/16 19:33:16] ppdet.engine INFO: Epoch: [263] [ 60/366] learning_rate: 0.014696 loss_vfl: 0.806035 loss_bbox: 0.300429 loss_dfl: 0.193013 loss: 1.304260 eta: 10:29:23 batch_cost: 2.8062 data_cost: 0.0028 ips: 28.5085 images/s [10/16 19:34:14] ppdet.engine INFO: Epoch: [263] [ 80/366] learning_rate: 0.014653 loss_vfl: 0.820463 loss_bbox: 0.280251 loss_dfl: 0.190023 loss: 1.310926 eta: 10:28:27 batch_cost: 2.7365 data_cost: 0.0016 ips: 29.2348 images/s [10/16 19:35:13] ppdet.engine INFO: Epoch: [263] [100/366] learning_rate: 0.014610 loss_vfl: 0.821193 loss_bbox: 0.291161 loss_dfl: 0.189900 loss: 1.300640 eta: 10:27:31 batch_cost: 2.8033 data_cost: 0.0023 ips: 28.5380 images/s [10/16 19:36:13] ppdet.engine INFO: Epoch: [263] [120/366] learning_rate: 0.014568 loss_vfl: 0.818121 loss_bbox: 0.283618 loss_dfl: 0.184123 loss: 1.288646 eta: 10:26:35 batch_cost: 2.8193 data_cost: 0.0034 ips: 28.3756 images/s [10/16 19:37:12] ppdet.engine INFO: Epoch: [263] [140/366] learning_rate: 0.014525 loss_vfl: 0.811669 loss_bbox: 0.293558 loss_dfl: 0.190573 loss: 1.318473 eta: 10:25:39 batch_cost: 2.8355 data_cost: 0.0024 ips: 28.2134 images/s [10/16 19:38:12] ppdet.engine INFO: Epoch: [263] [160/366] learning_rate: 0.014482 loss_vfl: 0.821916 loss_bbox: 0.286107 loss_dfl: 0.188521 loss: 1.294629 eta: 10:24:43 batch_cost: 2.8335 data_cost: 0.0016 ips: 28.2334 images/s [10/16 19:39:11] ppdet.engine INFO: Epoch: [263] [180/366] learning_rate: 0.014439 loss_vfl: 0.823119 loss_bbox: 0.291908 loss_dfl: 0.190486 loss: 1.294132 eta: 10:23:47 batch_cost: 2.7847 data_cost: 0.0020 ips: 28.7284 images/s [10/16 19:40:12] ppdet.engine INFO: Epoch: [263] [200/366] learning_rate: 0.014396 loss_vfl: 0.800046 loss_bbox: 0.288494 loss_dfl: 0.184421 loss: 1.271023 eta: 10:22:51 batch_cost: 2.9002 data_cost: 0.0016 ips: 27.5843 images/s [10/16 19:41:12] ppdet.engine INFO: Epoch: [263] [220/366] learning_rate: 0.014354 loss_vfl: 0.806481 loss_bbox: 0.298482 loss_dfl: 0.184823 loss: 1.298924 eta: 10:21:55 batch_cost: 2.8430 data_cost: 0.0026 ips: 28.1391 images/s [10/16 19:42:13] ppdet.engine INFO: Epoch: [263] [240/366] learning_rate: 0.014311 loss_vfl: 0.811242 loss_bbox: 0.286391 loss_dfl: 0.184535 loss: 1.283905 eta: 10:21:00 batch_cost: 2.8904 data_cost: 0.0025 ips: 27.6778 images/s [10/16 19:43:13] ppdet.engine INFO: Epoch: [263] [260/366] learning_rate: 0.014269 loss_vfl: 0.829353 loss_bbox: 0.297812 loss_dfl: 0.195044 loss: 1.329094 eta: 10:20:04 batch_cost: 2.8324 data_cost: 0.0029 ips: 28.2449 images/s [10/16 19:44:11] ppdet.engine INFO: Epoch: [263] [280/366] learning_rate: 0.014226 loss_vfl: 0.814814 loss_bbox: 0.280677 loss_dfl: 0.185169 loss: 1.283773 eta: 10:19:07 batch_cost: 2.7547 data_cost: 0.0022 ips: 29.0417 images/s [10/16 19:45:10] ppdet.engine INFO: Epoch: [263] [300/366] learning_rate: 0.014184 loss_vfl: 0.811869 loss_bbox: 0.281938 loss_dfl: 0.181392 loss: 1.280689 eta: 10:18:12 batch_cost: 2.8256 data_cost: 0.0030 ips: 28.3123 images/s [10/16 19:46:09] ppdet.engine INFO: Epoch: [263] [320/366] learning_rate: 0.014142 loss_vfl: 0.809667 loss_bbox: 0.278777 loss_dfl: 0.175999 loss: 1.277422 eta: 10:17:15 batch_cost: 2.7811 data_cost: 0.0016 ips: 28.7658 images/s [10/16 19:47:07] ppdet.engine INFO: Epoch: [263] [340/366] learning_rate: 0.014100 loss_vfl: 0.812028 loss_bbox: 0.299511 loss_dfl: 0.190446 loss: 1.305319 eta: 10:16:19 batch_cost: 2.7591 data_cost: 0.0017 ips: 28.9947 images/s [10/16 19:48:01] ppdet.engine INFO: Epoch: [263] [360/366] learning_rate: 0.014057 loss_vfl: 0.820674 loss_bbox: 0.285072 loss_dfl: 0.184399 loss: 1.300435 eta: 10:15:23 batch_cost: 2.5391 data_cost: 0.0017 ips: 31.5076 images/s [10/16 19:48:37] ppdet.engine INFO: Epoch: [264] [ 0/366] learning_rate: 0.014045 loss_vfl: 0.822325 loss_bbox: 0.280118 loss_dfl: 0.181606 loss: 1.289562 eta: 10:15:08 batch_cost: 3.2081 data_cost: 0.3179 ips: 24.9365 images/s [10/16 19:49:38] ppdet.engine INFO: Epoch: [264] [ 20/366] learning_rate: 0.014003 loss_vfl: 0.793225 loss_bbox: 0.306935 loss_dfl: 0.191340 loss: 1.302349 eta: 10:14:12 batch_cost: 2.9000 data_cost: 0.0021 ips: 27.5857 images/s [10/16 19:50:37] ppdet.engine INFO: Epoch: [264] [ 40/366] learning_rate: 0.013961 loss_vfl: 0.814072 loss_bbox: 0.285573 loss_dfl: 0.183449 loss: 1.288874 eta: 10:13:16 batch_cost: 2.8323 data_cost: 0.0018 ips: 28.2455 images/s [10/16 19:51:36] ppdet.engine INFO: Epoch: [264] [ 60/366] learning_rate: 0.013919 loss_vfl: 0.815239 loss_bbox: 0.294477 loss_dfl: 0.185822 loss: 1.300762 eta: 10:12:20 batch_cost: 2.7639 data_cost: 0.0017 ips: 28.9451 images/s [10/16 19:52:34] ppdet.engine INFO: Epoch: [264] [ 80/366] learning_rate: 0.013877 loss_vfl: 0.813095 loss_bbox: 0.287730 loss_dfl: 0.181761 loss: 1.279154 eta: 10:11:24 batch_cost: 2.7474 data_cost: 0.0017 ips: 29.1187 images/s [10/16 19:53:33] ppdet.engine INFO: Epoch: [264] [100/366] learning_rate: 0.013835 loss_vfl: 0.820101 loss_bbox: 0.276483 loss_dfl: 0.185610 loss: 1.280505 eta: 10:10:28 batch_cost: 2.8182 data_cost: 0.0038 ips: 28.3871 images/s [10/16 19:54:33] ppdet.engine INFO: Epoch: [264] [120/366] learning_rate: 0.013793 loss_vfl: 0.812341 loss_bbox: 0.292785 loss_dfl: 0.192455 loss: 1.290247 eta: 10:09:32 batch_cost: 2.8113 data_cost: 0.0016 ips: 28.4570 images/s [10/16 19:55:32] ppdet.engine INFO: Epoch: [264] [140/366] learning_rate: 0.013751 loss_vfl: 0.815088 loss_bbox: 0.284452 loss_dfl: 0.178806 loss: 1.274850 eta: 10:08:36 batch_cost: 2.8337 data_cost: 0.0016 ips: 28.2320 images/s [10/16 19:56:33] ppdet.engine INFO: Epoch: [264] [160/366] learning_rate: 0.013710 loss_vfl: 0.814758 loss_bbox: 0.295543 loss_dfl: 0.187467 loss: 1.293869 eta: 10:07:40 batch_cost: 2.8720 data_cost: 0.0030 ips: 27.8556 images/s [10/16 19:57:31] ppdet.engine INFO: Epoch: [264] [180/366] learning_rate: 0.013668 loss_vfl: 0.810564 loss_bbox: 0.291252 loss_dfl: 0.188408 loss: 1.287377 eta: 10:06:44 batch_cost: 2.7540 data_cost: 0.0017 ips: 29.0489 images/s [10/16 19:58:29] ppdet.engine INFO: Epoch: [264] [200/366] learning_rate: 0.013626 loss_vfl: 0.817249 loss_bbox: 0.295242 loss_dfl: 0.189836 loss: 1.291095 eta: 10:05:48 batch_cost: 2.7759 data_cost: 0.0016 ips: 28.8197 images/s [10/16 19:59:28] ppdet.engine INFO: Epoch: [264] [220/366] learning_rate: 0.013585 loss_vfl: 0.817210 loss_bbox: 0.298097 loss_dfl: 0.187761 loss: 1.299564 eta: 10:04:52 batch_cost: 2.7861 data_cost: 0.0024 ips: 28.7143 images/s [10/16 20:00:28] ppdet.engine INFO: Epoch: [264] [240/366] learning_rate: 0.013544 loss_vfl: 0.826926 loss_bbox: 0.295745 loss_dfl: 0.188732 loss: 1.299707 eta: 10:03:56 batch_cost: 2.8527 data_cost: 0.0022 ips: 28.0438 images/s [10/16 20:01:26] ppdet.engine INFO: Epoch: [264] [260/366] learning_rate: 0.013502 loss_vfl: 0.808614 loss_bbox: 0.299191 loss_dfl: 0.183552 loss: 1.298336 eta: 10:03:00 batch_cost: 2.7627 data_cost: 0.0016 ips: 28.9575 images/s [10/16 20:02:26] ppdet.engine INFO: Epoch: [264] [280/366] learning_rate: 0.013461 loss_vfl: 0.807274 loss_bbox: 0.304549 loss_dfl: 0.186980 loss: 1.311707 eta: 10:02:04 batch_cost: 2.8531 data_cost: 0.0026 ips: 28.0395 images/s [10/16 20:03:24] ppdet.engine INFO: Epoch: [264] [300/366] learning_rate: 0.013420 loss_vfl: 0.812483 loss_bbox: 0.286163 loss_dfl: 0.184573 loss: 1.291794 eta: 10:01:07 batch_cost: 2.7312 data_cost: 0.0029 ips: 29.2909 images/s [10/16 20:04:22] ppdet.engine INFO: Epoch: [264] [320/366] learning_rate: 0.013378 loss_vfl: 0.811193 loss_bbox: 0.291722 loss_dfl: 0.184361 loss: 1.285841 eta: 10:00:11 batch_cost: 2.7386 data_cost: 0.0017 ips: 29.2117 images/s [10/16 20:05:20] ppdet.engine INFO: Epoch: [264] [340/366] learning_rate: 0.013337 loss_vfl: 0.820119 loss_bbox: 0.288261 loss_dfl: 0.187655 loss: 1.294485 eta: 9:59:15 batch_cost: 2.7963 data_cost: 0.0030 ips: 28.6091 images/s [10/16 20:06:13] ppdet.engine INFO: Epoch: [264] [360/366] learning_rate: 0.013296 loss_vfl: 0.821209 loss_bbox: 0.278048 loss_dfl: 0.191858 loss: 1.286469 eta: 9:58:18 batch_cost: 2.4912 data_cost: 0.0017 ips: 32.1130 images/s [10/16 20:06:54] ppdet.engine INFO: Epoch: [265] [ 0/366] learning_rate: 0.013284 loss_vfl: 0.822851 loss_bbox: 0.269345 loss_dfl: 0.182413 loss: 1.285907 eta: 9:58:04 batch_cost: 3.4300 data_cost: 0.7435 ips: 23.3233 images/s [10/16 20:07:57] ppdet.engine INFO: Epoch: [265] [ 20/366] learning_rate: 0.013243 loss_vfl: 0.825275 loss_bbox: 0.276164 loss_dfl: 0.182621 loss: 1.291209 eta: 9:57:08 batch_cost: 2.8908 data_cost: 0.0019 ips: 27.6738 images/s [10/16 20:08:55] ppdet.engine INFO: Epoch: [265] [ 40/366] learning_rate: 0.013202 loss_vfl: 0.799769 loss_bbox: 0.292211 loss_dfl: 0.191116 loss: 1.292389 eta: 9:56:12 batch_cost: 2.7868 data_cost: 0.0018 ips: 28.7070 images/s [10/16 20:09:54] ppdet.engine INFO: Epoch: [265] [ 60/366] learning_rate: 0.013161 loss_vfl: 0.812298 loss_bbox: 0.293051 loss_dfl: 0.191162 loss: 1.285435 eta: 9:55:16 batch_cost: 2.7840 data_cost: 0.0040 ips: 28.7358 images/s [10/16 20:10:53] ppdet.engine INFO: Epoch: [265] [ 80/366] learning_rate: 0.013120 loss_vfl: 0.813393 loss_bbox: 0.276822 loss_dfl: 0.177050 loss: 1.262567 eta: 9:54:20 batch_cost: 2.8009 data_cost: 0.0017 ips: 28.5618 images/s [10/16 20:11:52] ppdet.engine INFO: Epoch: [265] [100/366] learning_rate: 0.013080 loss_vfl: 0.820805 loss_bbox: 0.285817 loss_dfl: 0.184181 loss: 1.289076 eta: 9:53:24 batch_cost: 2.8133 data_cost: 0.0016 ips: 28.4362 images/s [10/16 20:12:51] ppdet.engine INFO: Epoch: [265] [120/366] learning_rate: 0.013039 loss_vfl: 0.832364 loss_bbox: 0.290850 loss_dfl: 0.184684 loss: 1.304403 eta: 9:52:28 batch_cost: 2.7624 data_cost: 0.0023 ips: 28.9607 images/s [10/16 20:13:49] ppdet.engine INFO: Epoch: [265] [140/366] learning_rate: 0.012998 loss_vfl: 0.827488 loss_bbox: 0.294320 loss_dfl: 0.186401 loss: 1.307714 eta: 9:51:32 batch_cost: 2.7759 data_cost: 0.0016 ips: 28.8191 images/s [10/16 20:14:46] ppdet.engine INFO: Epoch: [265] [160/366] learning_rate: 0.012958 loss_vfl: 0.812486 loss_bbox: 0.276111 loss_dfl: 0.178103 loss: 1.263430 eta: 9:50:36 batch_cost: 2.7054 data_cost: 0.0023 ips: 29.5704 images/s [10/16 20:15:46] ppdet.engine INFO: Epoch: [265] [180/366] learning_rate: 0.012917 loss_vfl: 0.815180 loss_bbox: 0.289091 loss_dfl: 0.191343 loss: 1.304975 eta: 9:49:40 batch_cost: 2.8123 data_cost: 0.0027 ips: 28.4464 images/s [10/16 20:16:45] ppdet.engine INFO: Epoch: [265] [200/366] learning_rate: 0.012877 loss_vfl: 0.808873 loss_bbox: 0.294025 loss_dfl: 0.186259 loss: 1.289094 eta: 9:48:44 batch_cost: 2.8249 data_cost: 0.0017 ips: 28.3193 images/s [10/16 20:17:45] ppdet.engine INFO: Epoch: [265] [220/366] learning_rate: 0.012836 loss_vfl: 0.815953 loss_bbox: 0.282742 loss_dfl: 0.186231 loss: 1.292693 eta: 9:47:48 batch_cost: 2.8567 data_cost: 0.0017 ips: 28.0039 images/s [10/16 20:18:43] ppdet.engine INFO: Epoch: [265] [240/366] learning_rate: 0.012796 loss_vfl: 0.814023 loss_bbox: 0.296129 loss_dfl: 0.182737 loss: 1.291729 eta: 9:46:51 batch_cost: 2.7188 data_cost: 0.0016 ips: 29.4248 images/s [10/16 20:19:43] ppdet.engine INFO: Epoch: [265] [260/366] learning_rate: 0.012756 loss_vfl: 0.798317 loss_bbox: 0.291951 loss_dfl: 0.187337 loss: 1.295534 eta: 9:45:56 batch_cost: 2.8531 data_cost: 0.0033 ips: 28.0396 images/s [10/16 20:20:42] ppdet.engine INFO: Epoch: [265] [280/366] learning_rate: 0.012716 loss_vfl: 0.805879 loss_bbox: 0.290817 loss_dfl: 0.182437 loss: 1.281915 eta: 9:45:00 batch_cost: 2.8154 data_cost: 0.0016 ips: 28.4153 images/s [10/16 20:21:43] ppdet.engine INFO: Epoch: [265] [300/366] learning_rate: 0.012676 loss_vfl: 0.797846 loss_bbox: 0.297384 loss_dfl: 0.181819 loss: 1.286295 eta: 9:44:04 batch_cost: 2.8530 data_cost: 0.0016 ips: 28.0409 images/s [10/16 20:22:43] ppdet.engine INFO: Epoch: [265] [320/366] learning_rate: 0.012636 loss_vfl: 0.818056 loss_bbox: 0.306906 loss_dfl: 0.189861 loss: 1.319820 eta: 9:43:08 batch_cost: 2.8697 data_cost: 0.0023 ips: 27.8777 images/s [10/16 20:23:41] ppdet.engine INFO: Epoch: [265] [340/366] learning_rate: 0.012596 loss_vfl: 0.814654 loss_bbox: 0.294968 loss_dfl: 0.180759 loss: 1.288438 eta: 9:42:12 batch_cost: 2.7695 data_cost: 0.0018 ips: 28.8862 images/s [10/16 20:24:34] ppdet.engine INFO: Epoch: [265] [360/366] learning_rate: 0.012556 loss_vfl: 0.813519 loss_bbox: 0.285435 loss_dfl: 0.188502 loss: 1.289572 eta: 9:41:15 batch_cost: 2.5176 data_cost: 0.0016 ips: 31.7766 images/s [10/16 20:25:14] ppdet.engine INFO: Epoch: [266] [ 0/366] learning_rate: 0.012544 loss_vfl: 0.816557 loss_bbox: 0.287476 loss_dfl: 0.186830 loss: 1.289572 eta: 9:41:00 batch_cost: 3.4515 data_cost: 0.3877 ips: 23.1783 images/s [10/16 20:26:15] ppdet.engine INFO: Epoch: [266] [ 20/366] learning_rate: 0.012504 loss_vfl: 0.815920 loss_bbox: 0.295015 loss_dfl: 0.188130 loss: 1.299108 eta: 9:40:05 batch_cost: 2.8859 data_cost: 0.0019 ips: 27.7213 images/s [10/16 20:27:15] ppdet.engine INFO: Epoch: [266] [ 40/366] learning_rate: 0.012464 loss_vfl: 0.815972 loss_bbox: 0.292814 loss_dfl: 0.185962 loss: 1.301743 eta: 9:39:09 batch_cost: 2.8713 data_cost: 0.0018 ips: 27.8615 images/s [10/16 20:28:15] ppdet.engine INFO: Epoch: [266] [ 60/366] learning_rate: 0.012424 loss_vfl: 0.818236 loss_bbox: 0.288384 loss_dfl: 0.188001 loss: 1.294879 eta: 9:38:13 batch_cost: 2.8212 data_cost: 0.0017 ips: 28.3568 images/s [10/16 20:29:14] ppdet.engine INFO: Epoch: [266] [ 80/366] learning_rate: 0.012385 loss_vfl: 0.799777 loss_bbox: 0.288622 loss_dfl: 0.180422 loss: 1.291940 eta: 9:37:17 batch_cost: 2.8109 data_cost: 0.0016 ips: 28.4605 images/s [10/16 20:30:14] ppdet.engine INFO: Epoch: [266] [100/366] learning_rate: 0.012345 loss_vfl: 0.813860 loss_bbox: 0.295998 loss_dfl: 0.193875 loss: 1.305382 eta: 9:36:21 batch_cost: 2.8487 data_cost: 0.0027 ips: 28.0828 images/s [10/16 20:31:12] ppdet.engine INFO: Epoch: [266] [120/366] learning_rate: 0.012305 loss_vfl: 0.801748 loss_bbox: 0.277584 loss_dfl: 0.183938 loss: 1.272589 eta: 9:35:25 batch_cost: 2.7640 data_cost: 0.0016 ips: 28.9433 images/s [10/16 20:32:11] ppdet.engine INFO: Epoch: [266] [140/366] learning_rate: 0.012266 loss_vfl: 0.807206 loss_bbox: 0.278610 loss_dfl: 0.177598 loss: 1.263278 eta: 9:34:29 batch_cost: 2.7809 data_cost: 0.0024 ips: 28.7672 images/s [10/16 20:33:09] ppdet.engine INFO: Epoch: [266] [160/366] learning_rate: 0.012226 loss_vfl: 0.821118 loss_bbox: 0.286257 loss_dfl: 0.181046 loss: 1.279847 eta: 9:33:33 batch_cost: 2.7576 data_cost: 0.0017 ips: 29.0110 images/s [10/16 20:34:07] ppdet.engine INFO: Epoch: [266] [180/366] learning_rate: 0.012187 loss_vfl: 0.812564 loss_bbox: 0.287266 loss_dfl: 0.185596 loss: 1.287405 eta: 9:32:36 batch_cost: 2.7918 data_cost: 0.0023 ips: 28.6556 images/s [10/16 20:35:07] ppdet.engine INFO: Epoch: [266] [200/366] learning_rate: 0.012148 loss_vfl: 0.821159 loss_bbox: 0.300560 loss_dfl: 0.194084 loss: 1.308022 eta: 9:31:41 batch_cost: 2.8333 data_cost: 0.0017 ips: 28.2353 images/s [10/16 20:36:06] ppdet.engine INFO: Epoch: [266] [220/366] learning_rate: 0.012108 loss_vfl: 0.802158 loss_bbox: 0.286133 loss_dfl: 0.189815 loss: 1.276863 eta: 9:30:44 batch_cost: 2.7747 data_cost: 0.0018 ips: 28.8315 images/s [10/16 20:37:06] ppdet.engine INFO: Epoch: [266] [240/366] learning_rate: 0.012069 loss_vfl: 0.810312 loss_bbox: 0.269598 loss_dfl: 0.177430 loss: 1.260870 eta: 9:29:48 batch_cost: 2.8307 data_cost: 0.0018 ips: 28.2614 images/s [10/16 20:38:05] ppdet.engine INFO: Epoch: [266] [260/366] learning_rate: 0.012030 loss_vfl: 0.814267 loss_bbox: 0.301377 loss_dfl: 0.190867 loss: 1.310097 eta: 9:28:53 batch_cost: 2.8310 data_cost: 0.0024 ips: 28.2588 images/s [10/16 20:39:06] ppdet.engine INFO: Epoch: [266] [280/366] learning_rate: 0.011991 loss_vfl: 0.812247 loss_bbox: 0.290511 loss_dfl: 0.188450 loss: 1.295336 eta: 9:27:57 batch_cost: 2.8643 data_cost: 0.0029 ips: 27.9301 images/s [10/16 20:40:03] ppdet.engine INFO: Epoch: [266] [300/366] learning_rate: 0.011952 loss_vfl: 0.808029 loss_bbox: 0.282996 loss_dfl: 0.177067 loss: 1.287334 eta: 9:27:00 batch_cost: 2.7426 data_cost: 0.0016 ips: 29.1698 images/s [10/16 20:41:03] ppdet.engine INFO: Epoch: [266] [320/366] learning_rate: 0.011913 loss_vfl: 0.788745 loss_bbox: 0.289560 loss_dfl: 0.184063 loss: 1.270873 eta: 9:26:04 batch_cost: 2.8097 data_cost: 0.0018 ips: 28.4724 images/s [10/16 20:42:00] ppdet.engine INFO: Epoch: [266] [340/366] learning_rate: 0.011874 loss_vfl: 0.813454 loss_bbox: 0.284429 loss_dfl: 0.187841 loss: 1.294001 eta: 9:25:08 batch_cost: 2.7461 data_cost: 0.0018 ips: 29.1325 images/s [10/16 20:42:56] ppdet.engine INFO: Epoch: [266] [360/366] learning_rate: 0.011835 loss_vfl: 0.805679 loss_bbox: 0.285697 loss_dfl: 0.184417 loss: 1.263047 eta: 9:24:12 batch_cost: 2.6229 data_cost: 0.0023 ips: 30.5009 images/s [10/16 20:43:35] ppdet.engine INFO: Epoch: [267] [ 0/366] learning_rate: 0.011824 loss_vfl: 0.817655 loss_bbox: 0.280604 loss_dfl: 0.183893 loss: 1.261645 eta: 9:23:57 batch_cost: 3.4170 data_cost: 0.2869 ips: 23.4124 images/s [10/16 20:44:36] ppdet.engine INFO: Epoch: [267] [ 20/366] learning_rate: 0.011785 loss_vfl: 0.805483 loss_bbox: 0.300062 loss_dfl: 0.193313 loss: 1.289951 eta: 9:23:01 batch_cost: 2.9049 data_cost: 0.0017 ips: 27.5397 images/s [10/16 20:45:36] ppdet.engine INFO: Epoch: [267] [ 40/366] learning_rate: 0.011746 loss_vfl: 0.806856 loss_bbox: 0.287891 loss_dfl: 0.185752 loss: 1.291482 eta: 9:22:05 batch_cost: 2.8285 data_cost: 0.0018 ips: 28.2837 images/s [10/16 20:46:36] ppdet.engine INFO: Epoch: [267] [ 60/366] learning_rate: 0.011708 loss_vfl: 0.803777 loss_bbox: 0.291674 loss_dfl: 0.188113 loss: 1.271784 eta: 9:21:09 batch_cost: 2.8199 data_cost: 0.0017 ips: 28.3700 images/s [10/16 20:47:35] ppdet.engine INFO: Epoch: [267] [ 80/366] learning_rate: 0.011669 loss_vfl: 0.800040 loss_bbox: 0.290701 loss_dfl: 0.186979 loss: 1.277308 eta: 9:20:13 batch_cost: 2.8152 data_cost: 0.0074 ips: 28.4172 images/s [10/16 20:48:33] ppdet.engine INFO: Epoch: [267] [100/366] learning_rate: 0.011631 loss_vfl: 0.814762 loss_bbox: 0.280903 loss_dfl: 0.184447 loss: 1.285970 eta: 9:19:17 batch_cost: 2.7644 data_cost: 0.0024 ips: 28.9397 images/s [10/16 20:49:33] ppdet.engine INFO: Epoch: [267] [120/366] learning_rate: 0.011592 loss_vfl: 0.818806 loss_bbox: 0.283433 loss_dfl: 0.185228 loss: 1.280245 eta: 9:18:21 batch_cost: 2.8318 data_cost: 0.0017 ips: 28.2504 images/s [10/16 20:50:31] ppdet.engine INFO: Epoch: [267] [140/366] learning_rate: 0.011554 loss_vfl: 0.802913 loss_bbox: 0.289636 loss_dfl: 0.185399 loss: 1.284339 eta: 9:17:25 batch_cost: 2.7710 data_cost: 0.0017 ips: 28.8706 images/s [10/16 20:51:30] ppdet.engine INFO: Epoch: [267] [160/366] learning_rate: 0.011516 loss_vfl: 0.817291 loss_bbox: 0.277479 loss_dfl: 0.184092 loss: 1.265924 eta: 9:16:29 batch_cost: 2.7873 data_cost: 0.0029 ips: 28.7016 images/s [10/16 20:52:28] ppdet.engine INFO: Epoch: [267] [180/366] learning_rate: 0.011477 loss_vfl: 0.815128 loss_bbox: 0.276634 loss_dfl: 0.179888 loss: 1.259380 eta: 9:15:33 batch_cost: 2.7329 data_cost: 0.0016 ips: 29.2732 images/s [10/16 20:53:27] ppdet.engine INFO: Epoch: [267] [200/366] learning_rate: 0.011439 loss_vfl: 0.820358 loss_bbox: 0.288749 loss_dfl: 0.186001 loss: 1.288117 eta: 9:14:37 batch_cost: 2.8339 data_cost: 0.0017 ips: 28.2296 images/s [10/16 20:54:26] ppdet.engine INFO: Epoch: [267] [220/366] learning_rate: 0.011401 loss_vfl: 0.807665 loss_bbox: 0.300925 loss_dfl: 0.186565 loss: 1.296060 eta: 9:13:41 batch_cost: 2.7630 data_cost: 0.0017 ips: 28.9540 images/s [10/16 20:55:24] ppdet.engine INFO: Epoch: [267] [240/366] learning_rate: 0.011363 loss_vfl: 0.803082 loss_bbox: 0.280603 loss_dfl: 0.179786 loss: 1.270502 eta: 9:12:45 batch_cost: 2.7658 data_cost: 0.0032 ips: 28.9246 images/s [10/16 20:56:24] ppdet.engine INFO: Epoch: [267] [260/366] learning_rate: 0.011325 loss_vfl: 0.823426 loss_bbox: 0.290291 loss_dfl: 0.190031 loss: 1.313663 eta: 9:11:49 batch_cost: 2.8508 data_cost: 0.0032 ips: 28.0626 images/s [10/16 20:57:24] ppdet.engine INFO: Epoch: [267] [280/366] learning_rate: 0.011287 loss_vfl: 0.821473 loss_bbox: 0.287025 loss_dfl: 0.188444 loss: 1.292977 eta: 9:10:53 batch_cost: 2.8451 data_cost: 0.0018 ips: 28.1189 images/s [10/16 20:58:24] ppdet.engine INFO: Epoch: [267] [300/366] learning_rate: 0.011249 loss_vfl: 0.820139 loss_bbox: 0.282016 loss_dfl: 0.183358 loss: 1.306332 eta: 9:09:57 batch_cost: 2.8203 data_cost: 0.0024 ips: 28.3661 images/s [10/16 20:59:24] ppdet.engine INFO: Epoch: [267] [320/366] learning_rate: 0.011211 loss_vfl: 0.812661 loss_bbox: 0.301434 loss_dfl: 0.189732 loss: 1.304794 eta: 9:09:01 batch_cost: 2.8339 data_cost: 0.0018 ips: 28.2296 images/s [10/16 21:00:23] ppdet.engine INFO: Epoch: [267] [340/366] learning_rate: 0.011174 loss_vfl: 0.804261 loss_bbox: 0.302808 loss_dfl: 0.192345 loss: 1.299604 eta: 9:08:05 batch_cost: 2.8115 data_cost: 0.0023 ips: 28.4548 images/s [10/16 21:01:17] ppdet.engine INFO: Epoch: [267] [360/366] learning_rate: 0.011136 loss_vfl: 0.814985 loss_bbox: 0.293388 loss_dfl: 0.189917 loss: 1.292769 eta: 9:07:08 batch_cost: 2.5501 data_cost: 0.0016 ips: 31.3713 images/s [10/16 21:01:57] ppdet.engine INFO: Epoch: [268] [ 0/366] learning_rate: 0.011125 loss_vfl: 0.814326 loss_bbox: 0.301335 loss_dfl: 0.194963 loss: 1.300250 eta: 9:06:54 batch_cost: 3.4490 data_cost: 0.4245 ips: 23.1954 images/s [10/16 21:02:56] ppdet.engine INFO: Epoch: [268] [ 20/366] learning_rate: 0.011087 loss_vfl: 0.814410 loss_bbox: 0.274910 loss_dfl: 0.186500 loss: 1.285057 eta: 9:05:58 batch_cost: 2.8340 data_cost: 0.0029 ips: 28.2288 images/s [10/16 21:03:57] ppdet.engine INFO: Epoch: [268] [ 40/366] learning_rate: 0.011050 loss_vfl: 0.804508 loss_bbox: 0.272236 loss_dfl: 0.176281 loss: 1.268862 eta: 9:05:02 batch_cost: 2.8817 data_cost: 0.0024 ips: 27.7609 images/s [10/16 21:04:56] ppdet.engine INFO: Epoch: [268] [ 60/366] learning_rate: 0.011012 loss_vfl: 0.813030 loss_bbox: 0.286450 loss_dfl: 0.186773 loss: 1.298361 eta: 9:04:06 batch_cost: 2.7949 data_cost: 0.0023 ips: 28.6235 images/s [10/16 21:05:55] ppdet.engine INFO: Epoch: [268] [ 80/366] learning_rate: 0.010975 loss_vfl: 0.802707 loss_bbox: 0.276947 loss_dfl: 0.180826 loss: 1.267136 eta: 9:03:10 batch_cost: 2.8257 data_cost: 0.0017 ips: 28.3113 images/s [10/16 21:06:55] ppdet.engine INFO: Epoch: [268] [100/366] learning_rate: 0.010937 loss_vfl: 0.818174 loss_bbox: 0.287294 loss_dfl: 0.187329 loss: 1.294978 eta: 9:02:14 batch_cost: 2.8470 data_cost: 0.0023 ips: 28.1001 images/s [10/16 21:07:56] ppdet.engine INFO: Epoch: [268] [120/366] learning_rate: 0.010900 loss_vfl: 0.835548 loss_bbox: 0.290267 loss_dfl: 0.186843 loss: 1.282611 eta: 9:01:18 batch_cost: 2.8578 data_cost: 0.0017 ips: 27.9939 images/s [10/16 21:08:54] ppdet.engine INFO: Epoch: [268] [140/366] learning_rate: 0.010863 loss_vfl: 0.812286 loss_bbox: 0.297210 loss_dfl: 0.188704 loss: 1.303885 eta: 9:00:22 batch_cost: 2.7846 data_cost: 0.0017 ips: 28.7290 images/s [10/16 21:09:54] ppdet.engine INFO: Epoch: [268] [160/366] learning_rate: 0.010826 loss_vfl: 0.803374 loss_bbox: 0.300617 loss_dfl: 0.194384 loss: 1.296654 eta: 8:59:26 batch_cost: 2.8177 data_cost: 0.0033 ips: 28.3919 images/s [10/16 21:10:52] ppdet.engine INFO: Epoch: [268] [180/366] learning_rate: 0.010788 loss_vfl: 0.808747 loss_bbox: 0.279380 loss_dfl: 0.179642 loss: 1.287206 eta: 8:58:30 batch_cost: 2.7809 data_cost: 0.0016 ips: 28.7680 images/s [10/16 21:11:51] ppdet.engine INFO: Epoch: [268] [200/366] learning_rate: 0.010751 loss_vfl: 0.807264 loss_bbox: 0.269207 loss_dfl: 0.185175 loss: 1.279632 eta: 8:57:34 batch_cost: 2.8018 data_cost: 0.0017 ips: 28.5530 images/s [10/16 21:12:50] ppdet.engine INFO: Epoch: [268] [220/366] learning_rate: 0.010714 loss_vfl: 0.810004 loss_bbox: 0.283860 loss_dfl: 0.184874 loss: 1.295741 eta: 8:56:38 batch_cost: 2.7694 data_cost: 0.0018 ips: 28.8867 images/s [10/16 21:13:49] ppdet.engine INFO: Epoch: [268] [240/366] learning_rate: 0.010678 loss_vfl: 0.815162 loss_bbox: 0.302267 loss_dfl: 0.194751 loss: 1.306643 eta: 8:55:42 batch_cost: 2.7986 data_cost: 0.0026 ips: 28.5856 images/s [10/16 21:14:49] ppdet.engine INFO: Epoch: [268] [260/366] learning_rate: 0.010641 loss_vfl: 0.800890 loss_bbox: 0.283638 loss_dfl: 0.181050 loss: 1.276602 eta: 8:54:46 batch_cost: 2.8627 data_cost: 0.0038 ips: 27.9461 images/s [10/16 21:15:46] ppdet.engine INFO: Epoch: [268] [280/366] learning_rate: 0.010604 loss_vfl: 0.799850 loss_bbox: 0.290620 loss_dfl: 0.193488 loss: 1.282580 eta: 8:53:50 batch_cost: 2.7272 data_cost: 0.0026 ips: 29.3337 images/s [10/16 21:16:46] ppdet.engine INFO: Epoch: [268] [300/366] learning_rate: 0.010567 loss_vfl: 0.815112 loss_bbox: 0.275471 loss_dfl: 0.180378 loss: 1.259610 eta: 8:52:54 batch_cost: 2.8505 data_cost: 0.0026 ips: 28.0650 images/s [10/16 21:17:47] ppdet.engine INFO: Epoch: [268] [320/366] learning_rate: 0.010530 loss_vfl: 0.814991 loss_bbox: 0.287878 loss_dfl: 0.187376 loss: 1.302506 eta: 8:51:58 batch_cost: 2.8674 data_cost: 0.0017 ips: 27.9002 images/s [10/16 21:18:47] ppdet.engine INFO: Epoch: [268] [340/366] learning_rate: 0.010494 loss_vfl: 0.814870 loss_bbox: 0.279766 loss_dfl: 0.183003 loss: 1.273433 eta: 8:51:02 batch_cost: 2.8471 data_cost: 0.0023 ips: 28.0991 images/s [10/16 21:19:40] ppdet.engine INFO: Epoch: [268] [360/366] learning_rate: 0.010457 loss_vfl: 0.812740 loss_bbox: 0.275455 loss_dfl: 0.177201 loss: 1.279146 eta: 8:50:05 batch_cost: 2.5297 data_cost: 0.0016 ips: 31.6240 images/s [10/16 21:20:20] ppdet.engine INFO: Epoch: [269] [ 0/366] learning_rate: 0.010446 loss_vfl: 0.815081 loss_bbox: 0.278228 loss_dfl: 0.179278 loss: 1.285035 eta: 8:49:50 batch_cost: 3.4507 data_cost: 0.4578 ips: 23.1838 images/s [10/16 21:21:23] ppdet.engine INFO: Epoch: [269] [ 20/366] learning_rate: 0.010410 loss_vfl: 0.800569 loss_bbox: 0.284143 loss_dfl: 0.184283 loss: 1.264681 eta: 8:48:55 batch_cost: 2.9907 data_cost: 0.0030 ips: 26.7494 images/s [10/16 21:22:23] ppdet.engine INFO: Epoch: [269] [ 40/366] learning_rate: 0.010373 loss_vfl: 0.800080 loss_bbox: 0.291681 loss_dfl: 0.186171 loss: 1.277540 eta: 8:47:59 batch_cost: 2.8670 data_cost: 0.0016 ips: 27.9037 images/s [10/16 21:23:22] ppdet.engine INFO: Epoch: [269] [ 60/366] learning_rate: 0.010337 loss_vfl: 0.801354 loss_bbox: 0.283428 loss_dfl: 0.186297 loss: 1.265047 eta: 8:47:03 batch_cost: 2.7988 data_cost: 0.0016 ips: 28.5832 images/s [10/16 21:24:19] ppdet.engine INFO: Epoch: [269] [ 80/366] learning_rate: 0.010301 loss_vfl: 0.817353 loss_bbox: 0.281053 loss_dfl: 0.183838 loss: 1.284218 eta: 8:46:07 batch_cost: 2.6910 data_cost: 0.0022 ips: 29.7286 images/s [10/16 21:25:20] ppdet.engine INFO: Epoch: [269] [100/366] learning_rate: 0.010265 loss_vfl: 0.820762 loss_bbox: 0.288441 loss_dfl: 0.185910 loss: 1.295460 eta: 8:45:11 batch_cost: 2.8672 data_cost: 0.0023 ips: 27.9014 images/s [10/16 21:26:18] ppdet.engine INFO: Epoch: [269] [120/366] learning_rate: 0.010228 loss_vfl: 0.810449 loss_bbox: 0.300915 loss_dfl: 0.189134 loss: 1.293248 eta: 8:44:14 batch_cost: 2.7443 data_cost: 0.0017 ips: 29.1515 images/s [10/16 21:27:18] ppdet.engine INFO: Epoch: [269] [140/366] learning_rate: 0.010192 loss_vfl: 0.796788 loss_bbox: 0.285535 loss_dfl: 0.182502 loss: 1.272770 eta: 8:43:19 batch_cost: 2.8456 data_cost: 0.0023 ips: 28.1136 images/s [10/16 21:28:18] ppdet.engine INFO: Epoch: [269] [160/366] learning_rate: 0.010156 loss_vfl: 0.804257 loss_bbox: 0.284341 loss_dfl: 0.180678 loss: 1.259745 eta: 8:42:23 batch_cost: 2.8496 data_cost: 0.0016 ips: 28.0740 images/s [10/16 21:29:18] ppdet.engine INFO: Epoch: [269] [180/366] learning_rate: 0.010120 loss_vfl: 0.816550 loss_bbox: 0.286637 loss_dfl: 0.181401 loss: 1.265289 eta: 8:41:27 batch_cost: 2.8329 data_cost: 0.0017 ips: 28.2395 images/s [10/16 21:30:17] ppdet.engine INFO: Epoch: [269] [200/366] learning_rate: 0.010084 loss_vfl: 0.805198 loss_bbox: 0.283340 loss_dfl: 0.182297 loss: 1.279368 eta: 8:40:31 batch_cost: 2.8355 data_cost: 0.0016 ips: 28.2136 images/s [10/16 21:31:17] ppdet.engine INFO: Epoch: [269] [220/366] learning_rate: 0.010049 loss_vfl: 0.799706 loss_bbox: 0.284349 loss_dfl: 0.180717 loss: 1.272476 eta: 8:39:35 batch_cost: 2.8181 data_cost: 0.0016 ips: 28.3884 images/s [10/16 21:32:17] ppdet.engine INFO: Epoch: [269] [240/366] learning_rate: 0.010013 loss_vfl: 0.806944 loss_bbox: 0.301075 loss_dfl: 0.192382 loss: 1.293263 eta: 8:38:39 batch_cost: 2.8522 data_cost: 0.0023 ips: 28.0482 images/s [10/16 21:33:16] ppdet.engine INFO: Epoch: [269] [260/366] learning_rate: 0.009977 loss_vfl: 0.808924 loss_bbox: 0.292352 loss_dfl: 0.183229 loss: 1.277611 eta: 8:37:43 batch_cost: 2.8058 data_cost: 0.0023 ips: 28.5128 images/s [10/16 21:34:16] ppdet.engine INFO: Epoch: [269] [280/366] learning_rate: 0.009941 loss_vfl: 0.803355 loss_bbox: 0.289434 loss_dfl: 0.186523 loss: 1.282653 eta: 8:36:47 batch_cost: 2.8211 data_cost: 0.0023 ips: 28.3582 images/s [10/16 21:35:15] ppdet.engine INFO: Epoch: [269] [300/366] learning_rate: 0.009906 loss_vfl: 0.819810 loss_bbox: 0.281080 loss_dfl: 0.189265 loss: 1.290883 eta: 8:35:51 batch_cost: 2.8459 data_cost: 0.0034 ips: 28.1104 images/s [10/16 21:36:14] ppdet.engine INFO: Epoch: [269] [320/366] learning_rate: 0.009870 loss_vfl: 0.813718 loss_bbox: 0.290516 loss_dfl: 0.188278 loss: 1.295674 eta: 8:34:55 batch_cost: 2.7632 data_cost: 0.0016 ips: 28.9524 images/s [10/16 21:37:14] ppdet.engine INFO: Epoch: [269] [340/366] learning_rate: 0.009835 loss_vfl: 0.801034 loss_bbox: 0.298199 loss_dfl: 0.187882 loss: 1.278285 eta: 8:33:59 batch_cost: 2.8460 data_cost: 0.0017 ips: 28.1095 images/s [10/16 21:38:08] ppdet.engine INFO: Epoch: [269] [360/366] learning_rate: 0.009799 loss_vfl: 0.810855 loss_bbox: 0.294142 loss_dfl: 0.190740 loss: 1.293777 eta: 8:33:02 batch_cost: 2.5590 data_cost: 0.0016 ips: 31.2617 images/s [10/16 21:38:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 21:38:26] ppdet.engine INFO: Eval iter: 0 [10/16 21:39:11] ppdet.engine INFO: Eval iter: 100 [10/16 21:39:34] ppdet.engine INFO: Eval iter: 200 [10/16 21:39:58] ppdet.engine INFO: Eval iter: 300 [10/16 21:40:21] ppdet.engine INFO: Eval iter: 400 [10/16 21:40:44] ppdet.engine INFO: Eval iter: 500 [10/16 21:41:08] ppdet.engine INFO: Eval iter: 600 [10/16 21:41:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.65s) creating index... index created! [10/16 21:41:30] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.17s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=97.60s). Accumulating evaluation results... DONE (t=15.01s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.458 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.319 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.113 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.315 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.504 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 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.198 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/16 21:43:32] ppdet.engine INFO: Total sample number: 5000, averge FPS: 29.285087686316967 [10/16 21:43:32] ppdet.engine INFO: Best test bbox ap is 0.307. [10/16 21:43:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/16 21:43:34] ppdet.engine INFO: Epoch: [270] [ 0/366] learning_rate: 0.009789 loss_vfl: 0.817637 loss_bbox: 0.296889 loss_dfl: 0.196366 loss: 1.312784 eta: 8:32:45 batch_cost: 2.3851 data_cost: 0.0016 ips: 33.5416 images/s [10/16 21:44:36] ppdet.engine INFO: Epoch: [270] [ 20/366] learning_rate: 0.009753 loss_vfl: 0.819331 loss_bbox: 0.282223 loss_dfl: 0.189682 loss: 1.292217 eta: 8:31:49 batch_cost: 2.9036 data_cost: 0.0019 ips: 27.5517 images/s [10/16 21:45:35] ppdet.engine INFO: Epoch: [270] [ 40/366] learning_rate: 0.009718 loss_vfl: 0.797283 loss_bbox: 0.279231 loss_dfl: 0.182814 loss: 1.274757 eta: 8:30:53 batch_cost: 2.7912 data_cost: 0.0017 ips: 28.6620 images/s [10/16 21:46:36] ppdet.engine INFO: Epoch: [270] [ 60/366] learning_rate: 0.009683 loss_vfl: 0.808391 loss_bbox: 0.287720 loss_dfl: 0.186781 loss: 1.290552 eta: 8:29:57 batch_cost: 2.9167 data_cost: 0.0018 ips: 27.4286 images/s [10/16 21:47:36] ppdet.engine INFO: Epoch: [270] [ 80/366] learning_rate: 0.009648 loss_vfl: 0.816490 loss_bbox: 0.293113 loss_dfl: 0.185051 loss: 1.300749 eta: 8:29:01 batch_cost: 2.8180 data_cost: 0.0017 ips: 28.3892 images/s [10/16 21:48:36] ppdet.engine INFO: Epoch: [270] [100/366] learning_rate: 0.009613 loss_vfl: 0.810488 loss_bbox: 0.280360 loss_dfl: 0.183544 loss: 1.292711 eta: 8:28:05 batch_cost: 2.8704 data_cost: 0.0016 ips: 27.8710 images/s [10/16 21:49:35] ppdet.engine INFO: Epoch: [270] [120/366] learning_rate: 0.009578 loss_vfl: 0.799312 loss_bbox: 0.283843 loss_dfl: 0.183653 loss: 1.280823 eta: 8:27:09 batch_cost: 2.8050 data_cost: 0.0016 ips: 28.5207 images/s [10/16 21:50:34] ppdet.engine INFO: Epoch: [270] [140/366] learning_rate: 0.009543 loss_vfl: 0.801465 loss_bbox: 0.286994 loss_dfl: 0.183628 loss: 1.275601 eta: 8:26:13 batch_cost: 2.7900 data_cost: 0.0017 ips: 28.6740 images/s [10/16 21:51:33] ppdet.engine INFO: Epoch: [270] [160/366] learning_rate: 0.009508 loss_vfl: 0.817295 loss_bbox: 0.282370 loss_dfl: 0.181819 loss: 1.275038 eta: 8:25:17 batch_cost: 2.8172 data_cost: 0.0017 ips: 28.3969 images/s [10/16 21:52:34] ppdet.engine INFO: Epoch: [270] [180/366] learning_rate: 0.009473 loss_vfl: 0.805554 loss_bbox: 0.290305 loss_dfl: 0.183355 loss: 1.277292 eta: 8:24:21 batch_cost: 2.8755 data_cost: 0.0025 ips: 27.8217 images/s [10/16 21:53:31] ppdet.engine INFO: Epoch: [270] [200/366] learning_rate: 0.009438 loss_vfl: 0.804785 loss_bbox: 0.284389 loss_dfl: 0.192625 loss: 1.282954 eta: 8:23:25 batch_cost: 2.7290 data_cost: 0.0024 ips: 29.3150 images/s [10/16 21:54:32] ppdet.engine INFO: Epoch: [270] [220/366] learning_rate: 0.009403 loss_vfl: 0.821754 loss_bbox: 0.297083 loss_dfl: 0.191105 loss: 1.309451 eta: 8:22:29 batch_cost: 2.8894 data_cost: 0.0017 ips: 27.6869 images/s [10/16 21:55:32] ppdet.engine INFO: Epoch: [270] [240/366] learning_rate: 0.009369 loss_vfl: 0.819686 loss_bbox: 0.304108 loss_dfl: 0.189765 loss: 1.307541 eta: 8:21:33 batch_cost: 2.8565 data_cost: 0.0016 ips: 28.0063 images/s [10/16 21:56:31] ppdet.engine INFO: Epoch: [270] [260/366] learning_rate: 0.009334 loss_vfl: 0.793530 loss_bbox: 0.303280 loss_dfl: 0.196025 loss: 1.304713 eta: 8:20:37 batch_cost: 2.7564 data_cost: 0.0018 ips: 29.0229 images/s [10/16 21:57:29] ppdet.engine INFO: Epoch: [270] [280/366] learning_rate: 0.009300 loss_vfl: 0.810276 loss_bbox: 0.274064 loss_dfl: 0.179458 loss: 1.251282 eta: 8:19:41 batch_cost: 2.7749 data_cost: 0.0018 ips: 28.8296 images/s [10/16 21:58:28] ppdet.engine INFO: Epoch: [270] [300/366] learning_rate: 0.009265 loss_vfl: 0.804280 loss_bbox: 0.287914 loss_dfl: 0.186822 loss: 1.281025 eta: 8:18:45 batch_cost: 2.7866 data_cost: 0.0016 ips: 28.7092 images/s [10/16 21:59:27] ppdet.engine INFO: Epoch: [270] [320/366] learning_rate: 0.009231 loss_vfl: 0.819308 loss_bbox: 0.299352 loss_dfl: 0.186811 loss: 1.292595 eta: 8:17:49 batch_cost: 2.7974 data_cost: 0.0017 ips: 28.5984 images/s [10/16 22:00:26] ppdet.engine INFO: Epoch: [270] [340/366] learning_rate: 0.009196 loss_vfl: 0.820404 loss_bbox: 0.294585 loss_dfl: 0.190413 loss: 1.302028 eta: 8:16:53 batch_cost: 2.7780 data_cost: 0.0017 ips: 28.7976 images/s [10/16 22:01:20] ppdet.engine INFO: Epoch: [270] [360/366] learning_rate: 0.009162 loss_vfl: 0.803333 loss_bbox: 0.289705 loss_dfl: 0.183362 loss: 1.277855 eta: 8:15:56 batch_cost: 2.5536 data_cost: 0.0017 ips: 31.3287 images/s [10/16 22:02:00] ppdet.engine INFO: Epoch: [271] [ 0/366] learning_rate: 0.009152 loss_vfl: 0.805943 loss_bbox: 0.283602 loss_dfl: 0.185241 loss: 1.276199 eta: 8:15:42 batch_cost: 3.4754 data_cost: 0.5529 ips: 23.0192 images/s [10/16 22:02:59] ppdet.engine INFO: Epoch: [271] [ 20/366] learning_rate: 0.009118 loss_vfl: 0.810790 loss_bbox: 0.289112 loss_dfl: 0.184641 loss: 1.283960 eta: 8:14:46 batch_cost: 2.7966 data_cost: 0.0021 ips: 28.6066 images/s [10/16 22:03:58] ppdet.engine INFO: Epoch: [271] [ 40/366] learning_rate: 0.009084 loss_vfl: 0.801725 loss_bbox: 0.281571 loss_dfl: 0.190872 loss: 1.283666 eta: 8:13:49 batch_cost: 2.8032 data_cost: 0.0017 ips: 28.5387 images/s [10/16 22:04:58] ppdet.engine INFO: Epoch: [271] [ 60/366] learning_rate: 0.009050 loss_vfl: 0.803535 loss_bbox: 0.283574 loss_dfl: 0.185982 loss: 1.268300 eta: 8:12:54 batch_cost: 2.8404 data_cost: 0.0018 ips: 28.1647 images/s [10/16 22:05:57] ppdet.engine INFO: Epoch: [271] [ 80/366] learning_rate: 0.009016 loss_vfl: 0.808124 loss_bbox: 0.284953 loss_dfl: 0.182344 loss: 1.276409 eta: 8:11:57 batch_cost: 2.7858 data_cost: 0.0018 ips: 28.7175 images/s [10/16 22:06:57] ppdet.engine INFO: Epoch: [271] [100/366] learning_rate: 0.008982 loss_vfl: 0.817465 loss_bbox: 0.306231 loss_dfl: 0.196034 loss: 1.312217 eta: 8:11:02 batch_cost: 2.8604 data_cost: 0.0018 ips: 27.9684 images/s [10/16 22:07:56] ppdet.engine INFO: Epoch: [271] [120/366] learning_rate: 0.008948 loss_vfl: 0.804253 loss_bbox: 0.292856 loss_dfl: 0.186141 loss: 1.279630 eta: 8:10:05 batch_cost: 2.7678 data_cost: 0.0019 ips: 28.9042 images/s [10/16 22:08:55] ppdet.engine INFO: Epoch: [271] [140/366] learning_rate: 0.008914 loss_vfl: 0.791391 loss_bbox: 0.292531 loss_dfl: 0.180302 loss: 1.255789 eta: 8:09:09 batch_cost: 2.7935 data_cost: 0.0030 ips: 28.6378 images/s [10/16 22:09:52] ppdet.engine INFO: Epoch: [271] [160/366] learning_rate: 0.008880 loss_vfl: 0.819405 loss_bbox: 0.295909 loss_dfl: 0.189403 loss: 1.288324 eta: 8:08:13 batch_cost: 2.7188 data_cost: 0.0022 ips: 29.4251 images/s [10/16 22:10:50] ppdet.engine INFO: Epoch: [271] [180/366] learning_rate: 0.008846 loss_vfl: 0.812983 loss_bbox: 0.294810 loss_dfl: 0.191606 loss: 1.295069 eta: 8:07:17 batch_cost: 2.7429 data_cost: 0.0023 ips: 29.1660 images/s [10/16 22:11:48] ppdet.engine INFO: Epoch: [271] [200/366] learning_rate: 0.008813 loss_vfl: 0.807580 loss_bbox: 0.287274 loss_dfl: 0.186085 loss: 1.276117 eta: 8:06:21 batch_cost: 2.7362 data_cost: 0.0023 ips: 29.2380 images/s [10/16 22:12:46] ppdet.engine INFO: Epoch: [271] [220/366] learning_rate: 0.008779 loss_vfl: 0.807585 loss_bbox: 0.274982 loss_dfl: 0.183205 loss: 1.277950 eta: 8:05:25 batch_cost: 2.7451 data_cost: 0.0023 ips: 29.1434 images/s [10/16 22:13:44] ppdet.engine INFO: Epoch: [271] [240/366] learning_rate: 0.008746 loss_vfl: 0.810570 loss_bbox: 0.276702 loss_dfl: 0.179972 loss: 1.263992 eta: 8:04:29 batch_cost: 2.7708 data_cost: 0.0048 ips: 28.8725 images/s [10/16 22:14:44] ppdet.engine INFO: Epoch: [271] [260/366] learning_rate: 0.008712 loss_vfl: 0.801345 loss_bbox: 0.288665 loss_dfl: 0.179394 loss: 1.282352 eta: 8:03:33 batch_cost: 2.8376 data_cost: 0.0017 ips: 28.1926 images/s [10/16 22:15:43] ppdet.engine INFO: Epoch: [271] [280/366] learning_rate: 0.008679 loss_vfl: 0.819521 loss_bbox: 0.272677 loss_dfl: 0.177871 loss: 1.261543 eta: 8:02:36 batch_cost: 2.7933 data_cost: 0.0032 ips: 28.6398 images/s [10/16 22:16:41] ppdet.engine INFO: Epoch: [271] [300/366] learning_rate: 0.008646 loss_vfl: 0.810014 loss_bbox: 0.272184 loss_dfl: 0.181270 loss: 1.265040 eta: 8:01:40 batch_cost: 2.7703 data_cost: 0.0017 ips: 28.8776 images/s [10/16 22:17:39] ppdet.engine INFO: Epoch: [271] [320/366] learning_rate: 0.008612 loss_vfl: 0.809604 loss_bbox: 0.296737 loss_dfl: 0.187746 loss: 1.288983 eta: 8:00:44 batch_cost: 2.7505 data_cost: 0.0022 ips: 29.0856 images/s [10/16 22:18:37] ppdet.engine INFO: Epoch: [271] [340/366] learning_rate: 0.008579 loss_vfl: 0.804891 loss_bbox: 0.275126 loss_dfl: 0.183770 loss: 1.269175 eta: 7:59:48 batch_cost: 2.7532 data_cost: 0.0017 ips: 29.0569 images/s [10/16 22:19:32] ppdet.engine INFO: Epoch: [271] [360/366] learning_rate: 0.008546 loss_vfl: 0.806324 loss_bbox: 0.293521 loss_dfl: 0.186320 loss: 1.281919 eta: 7:58:52 batch_cost: 2.6193 data_cost: 0.0016 ips: 30.5422 images/s [10/16 22:20:15] ppdet.engine INFO: Epoch: [272] [ 0/366] learning_rate: 0.008536 loss_vfl: 0.817046 loss_bbox: 0.292183 loss_dfl: 0.186320 loss: 1.286067 eta: 7:58:37 batch_cost: 3.6255 data_cost: 0.6495 ips: 22.0659 images/s [10/16 22:21:16] ppdet.engine INFO: Epoch: [272] [ 20/366] learning_rate: 0.008503 loss_vfl: 0.806879 loss_bbox: 0.279919 loss_dfl: 0.184540 loss: 1.278091 eta: 7:57:41 batch_cost: 2.8853 data_cost: 0.0018 ips: 27.7266 images/s [10/16 22:22:18] ppdet.engine INFO: Epoch: [272] [ 40/366] learning_rate: 0.008470 loss_vfl: 0.811672 loss_bbox: 0.284098 loss_dfl: 0.179466 loss: 1.294152 eta: 7:56:45 batch_cost: 2.9326 data_cost: 0.0024 ips: 27.2798 images/s [10/16 22:23:17] ppdet.engine INFO: Epoch: [272] [ 60/366] learning_rate: 0.008437 loss_vfl: 0.796901 loss_bbox: 0.317503 loss_dfl: 0.194493 loss: 1.306865 eta: 7:55:49 batch_cost: 2.7869 data_cost: 0.0017 ips: 28.7054 images/s [10/16 22:24:16] ppdet.engine INFO: Epoch: [272] [ 80/366] learning_rate: 0.008404 loss_vfl: 0.809754 loss_bbox: 0.284054 loss_dfl: 0.188019 loss: 1.273845 eta: 7:54:53 batch_cost: 2.8094 data_cost: 0.0026 ips: 28.4762 images/s [10/16 22:25:15] ppdet.engine INFO: Epoch: [272] [100/366] learning_rate: 0.008371 loss_vfl: 0.801030 loss_bbox: 0.296836 loss_dfl: 0.189992 loss: 1.285954 eta: 7:53:57 batch_cost: 2.8380 data_cost: 0.0017 ips: 28.1886 images/s [10/16 22:26:15] ppdet.engine INFO: Epoch: [272] [120/366] learning_rate: 0.008339 loss_vfl: 0.807564 loss_bbox: 0.282828 loss_dfl: 0.186998 loss: 1.302455 eta: 7:53:01 batch_cost: 2.8315 data_cost: 0.0016 ips: 28.2533 images/s [10/16 22:27:14] ppdet.engine INFO: Epoch: [272] [140/366] learning_rate: 0.008306 loss_vfl: 0.819098 loss_bbox: 0.284716 loss_dfl: 0.179607 loss: 1.283037 eta: 7:52:05 batch_cost: 2.8047 data_cost: 0.0018 ips: 28.5236 images/s [10/16 22:28:12] ppdet.engine INFO: Epoch: [272] [160/366] learning_rate: 0.008273 loss_vfl: 0.812770 loss_bbox: 0.291968 loss_dfl: 0.183724 loss: 1.287807 eta: 7:51:09 batch_cost: 2.7534 data_cost: 0.0017 ips: 29.0545 images/s [10/16 22:29:12] ppdet.engine INFO: Epoch: [272] [180/366] learning_rate: 0.008241 loss_vfl: 0.811965 loss_bbox: 0.285124 loss_dfl: 0.184374 loss: 1.262152 eta: 7:50:13 batch_cost: 2.8479 data_cost: 0.0024 ips: 28.0911 images/s [10/16 22:30:11] ppdet.engine INFO: Epoch: [272] [200/366] learning_rate: 0.008208 loss_vfl: 0.817070 loss_bbox: 0.280435 loss_dfl: 0.185122 loss: 1.278183 eta: 7:49:17 batch_cost: 2.8081 data_cost: 0.0017 ips: 28.4886 images/s [10/16 22:31:11] ppdet.engine INFO: Epoch: [272] [220/366] learning_rate: 0.008176 loss_vfl: 0.807936 loss_bbox: 0.292699 loss_dfl: 0.188122 loss: 1.293171 eta: 7:48:21 batch_cost: 2.8022 data_cost: 0.0017 ips: 28.5488 images/s [10/16 22:32:11] ppdet.engine INFO: Epoch: [272] [240/366] learning_rate: 0.008144 loss_vfl: 0.800926 loss_bbox: 0.296296 loss_dfl: 0.190916 loss: 1.267638 eta: 7:47:25 batch_cost: 2.8447 data_cost: 0.0016 ips: 28.1230 images/s [10/16 22:33:11] ppdet.engine INFO: Epoch: [272] [260/366] learning_rate: 0.008111 loss_vfl: 0.810850 loss_bbox: 0.263450 loss_dfl: 0.179776 loss: 1.254440 eta: 7:46:29 batch_cost: 2.8426 data_cost: 0.0018 ips: 28.1430 images/s [10/16 22:34:09] ppdet.engine INFO: Epoch: [272] [280/366] learning_rate: 0.008079 loss_vfl: 0.815241 loss_bbox: 0.277885 loss_dfl: 0.175700 loss: 1.264979 eta: 7:45:33 batch_cost: 2.7780 data_cost: 0.0017 ips: 28.7973 images/s [10/16 22:35:08] ppdet.engine INFO: Epoch: [272] [300/366] learning_rate: 0.008047 loss_vfl: 0.795415 loss_bbox: 0.282779 loss_dfl: 0.183728 loss: 1.259588 eta: 7:44:37 batch_cost: 2.8070 data_cost: 0.0018 ips: 28.5004 images/s [10/16 22:36:06] ppdet.engine INFO: Epoch: [272] [320/366] learning_rate: 0.008015 loss_vfl: 0.805118 loss_bbox: 0.290897 loss_dfl: 0.183714 loss: 1.290865 eta: 7:43:41 batch_cost: 2.7302 data_cost: 0.0018 ips: 29.3021 images/s [10/16 22:37:05] ppdet.engine INFO: Epoch: [272] [340/366] learning_rate: 0.007983 loss_vfl: 0.803573 loss_bbox: 0.295329 loss_dfl: 0.187995 loss: 1.283770 eta: 7:42:45 batch_cost: 2.7699 data_cost: 0.0017 ips: 28.8817 images/s [10/16 22:37:58] ppdet.engine INFO: Epoch: [272] [360/366] learning_rate: 0.007951 loss_vfl: 0.809139 loss_bbox: 0.291016 loss_dfl: 0.186949 loss: 1.280780 eta: 7:41:48 batch_cost: 2.5254 data_cost: 0.0017 ips: 31.6779 images/s [10/16 22:38:37] ppdet.engine INFO: Epoch: [273] [ 0/366] learning_rate: 0.007941 loss_vfl: 0.799201 loss_bbox: 0.290301 loss_dfl: 0.190554 loss: 1.273202 eta: 7:41:33 batch_cost: 3.4162 data_cost: 0.5514 ips: 23.4177 images/s [10/16 22:39:37] ppdet.engine INFO: Epoch: [273] [ 20/366] learning_rate: 0.007909 loss_vfl: 0.810488 loss_bbox: 0.295110 loss_dfl: 0.181102 loss: 1.289285 eta: 7:40:37 batch_cost: 2.8196 data_cost: 0.0019 ips: 28.3725 images/s [10/16 22:40:36] ppdet.engine INFO: Epoch: [273] [ 40/366] learning_rate: 0.007878 loss_vfl: 0.802942 loss_bbox: 0.289509 loss_dfl: 0.189038 loss: 1.292535 eta: 7:39:41 batch_cost: 2.8115 data_cost: 0.0017 ips: 28.4547 images/s [10/16 22:41:36] ppdet.engine INFO: Epoch: [273] [ 60/366] learning_rate: 0.007846 loss_vfl: 0.802593 loss_bbox: 0.283706 loss_dfl: 0.184092 loss: 1.271216 eta: 7:38:45 batch_cost: 2.8575 data_cost: 0.0017 ips: 27.9968 images/s [10/16 22:42:35] ppdet.engine INFO: Epoch: [273] [ 80/366] learning_rate: 0.007814 loss_vfl: 0.799012 loss_bbox: 0.274677 loss_dfl: 0.181712 loss: 1.260684 eta: 7:37:49 batch_cost: 2.7727 data_cost: 0.0028 ips: 28.8525 images/s [10/16 22:43:32] ppdet.engine INFO: Epoch: [273] [100/366] learning_rate: 0.007782 loss_vfl: 0.798095 loss_bbox: 0.285117 loss_dfl: 0.181626 loss: 1.258127 eta: 7:36:53 batch_cost: 2.7331 data_cost: 0.0027 ips: 29.2706 images/s [10/16 22:44:32] ppdet.engine INFO: Epoch: [273] [120/366] learning_rate: 0.007751 loss_vfl: 0.818908 loss_bbox: 0.288161 loss_dfl: 0.184401 loss: 1.275225 eta: 7:35:57 batch_cost: 2.8333 data_cost: 0.0016 ips: 28.2361 images/s [10/16 22:45:31] ppdet.engine INFO: Epoch: [273] [140/366] learning_rate: 0.007719 loss_vfl: 0.799905 loss_bbox: 0.292931 loss_dfl: 0.184056 loss: 1.275759 eta: 7:35:01 batch_cost: 2.8027 data_cost: 0.0018 ips: 28.5443 images/s [10/16 22:46:30] ppdet.engine INFO: Epoch: [273] [160/366] learning_rate: 0.007688 loss_vfl: 0.810571 loss_bbox: 0.294482 loss_dfl: 0.189345 loss: 1.282503 eta: 7:34:05 batch_cost: 2.8023 data_cost: 0.0022 ips: 28.5479 images/s [10/16 22:47:31] ppdet.engine INFO: Epoch: [273] [180/366] learning_rate: 0.007656 loss_vfl: 0.808589 loss_bbox: 0.304960 loss_dfl: 0.194631 loss: 1.297558 eta: 7:33:09 batch_cost: 2.8785 data_cost: 0.0029 ips: 27.7919 images/s [10/16 22:48:30] ppdet.engine INFO: Epoch: [273] [200/366] learning_rate: 0.007625 loss_vfl: 0.798223 loss_bbox: 0.292278 loss_dfl: 0.187823 loss: 1.274224 eta: 7:32:13 batch_cost: 2.7956 data_cost: 0.0017 ips: 28.6160 images/s [10/16 22:49:28] ppdet.engine INFO: Epoch: [273] [220/366] learning_rate: 0.007594 loss_vfl: 0.823270 loss_bbox: 0.289106 loss_dfl: 0.181655 loss: 1.293395 eta: 7:31:17 batch_cost: 2.7634 data_cost: 0.0023 ips: 28.9499 images/s [10/16 22:50:27] ppdet.engine INFO: Epoch: [273] [240/366] learning_rate: 0.007563 loss_vfl: 0.832796 loss_bbox: 0.286098 loss_dfl: 0.188604 loss: 1.295383 eta: 7:30:21 batch_cost: 2.7926 data_cost: 0.0016 ips: 28.6475 images/s [10/16 22:51:26] ppdet.engine INFO: Epoch: [273] [260/366] learning_rate: 0.007531 loss_vfl: 0.822792 loss_bbox: 0.277228 loss_dfl: 0.179655 loss: 1.297625 eta: 7:29:24 batch_cost: 2.8247 data_cost: 0.0024 ips: 28.3219 images/s [10/16 22:52:25] ppdet.engine INFO: Epoch: [273] [280/366] learning_rate: 0.007500 loss_vfl: 0.803841 loss_bbox: 0.289045 loss_dfl: 0.188774 loss: 1.300016 eta: 7:28:28 batch_cost: 2.7823 data_cost: 0.0017 ips: 28.7533 images/s [10/16 22:53:24] ppdet.engine INFO: Epoch: [273] [300/366] learning_rate: 0.007469 loss_vfl: 0.815767 loss_bbox: 0.277876 loss_dfl: 0.179605 loss: 1.301915 eta: 7:27:32 batch_cost: 2.8070 data_cost: 0.0046 ips: 28.5005 images/s [10/16 22:54:23] ppdet.engine INFO: Epoch: [273] [320/366] learning_rate: 0.007438 loss_vfl: 0.802285 loss_bbox: 0.273433 loss_dfl: 0.178344 loss: 1.248770 eta: 7:26:36 batch_cost: 2.7967 data_cost: 0.0017 ips: 28.6056 images/s [10/16 22:55:21] ppdet.engine INFO: Epoch: [273] [340/366] learning_rate: 0.007408 loss_vfl: 0.823842 loss_bbox: 0.279623 loss_dfl: 0.185225 loss: 1.285442 eta: 7:25:40 batch_cost: 2.7627 data_cost: 0.0030 ips: 28.9569 images/s [10/16 22:56:15] ppdet.engine INFO: Epoch: [273] [360/366] learning_rate: 0.007377 loss_vfl: 0.803347 loss_bbox: 0.295775 loss_dfl: 0.194902 loss: 1.298528 eta: 7:24:44 batch_cost: 2.5331 data_cost: 0.0019 ips: 31.5816 images/s [10/16 22:56:55] ppdet.engine INFO: Epoch: [274] [ 0/366] learning_rate: 0.007367 loss_vfl: 0.801934 loss_bbox: 0.295775 loss_dfl: 0.190495 loss: 1.289776 eta: 7:24:29 batch_cost: 3.4822 data_cost: 0.4380 ips: 22.9737 images/s [10/16 22:57:56] ppdet.engine INFO: Epoch: [274] [ 20/366] learning_rate: 0.007337 loss_vfl: 0.802792 loss_bbox: 0.287852 loss_dfl: 0.184961 loss: 1.270898 eta: 7:23:33 batch_cost: 2.8314 data_cost: 0.0028 ips: 28.2551 images/s [10/16 22:58:56] ppdet.engine INFO: Epoch: [274] [ 40/366] learning_rate: 0.007306 loss_vfl: 0.804993 loss_bbox: 0.291094 loss_dfl: 0.179898 loss: 1.254601 eta: 7:22:37 batch_cost: 2.8541 data_cost: 0.0021 ips: 28.0295 images/s [10/16 22:59:56] ppdet.engine INFO: Epoch: [274] [ 60/366] learning_rate: 0.007275 loss_vfl: 0.809123 loss_bbox: 0.289995 loss_dfl: 0.186880 loss: 1.292247 eta: 7:21:41 batch_cost: 2.8401 data_cost: 0.0019 ips: 28.1678 images/s [10/16 23:00:55] ppdet.engine INFO: Epoch: [274] [ 80/366] learning_rate: 0.007245 loss_vfl: 0.806996 loss_bbox: 0.290277 loss_dfl: 0.188869 loss: 1.299024 eta: 7:20:45 batch_cost: 2.8105 data_cost: 0.0018 ips: 28.4647 images/s [10/16 23:01:53] ppdet.engine INFO: Epoch: [274] [100/366] learning_rate: 0.007214 loss_vfl: 0.810532 loss_bbox: 0.297781 loss_dfl: 0.189628 loss: 1.304915 eta: 7:19:48 batch_cost: 2.7524 data_cost: 0.0017 ips: 29.0651 images/s [10/16 23:02:50] ppdet.engine INFO: Epoch: [274] [120/366] learning_rate: 0.007184 loss_vfl: 0.810264 loss_bbox: 0.293117 loss_dfl: 0.190171 loss: 1.301415 eta: 7:18:52 batch_cost: 2.7393 data_cost: 0.0046 ips: 29.2043 images/s [10/16 23:03:49] ppdet.engine INFO: Epoch: [274] [140/366] learning_rate: 0.007154 loss_vfl: 0.807386 loss_bbox: 0.289427 loss_dfl: 0.181395 loss: 1.276584 eta: 7:17:56 batch_cost: 2.7736 data_cost: 0.0017 ips: 28.8438 images/s [10/16 23:04:48] ppdet.engine INFO: Epoch: [274] [160/366] learning_rate: 0.007123 loss_vfl: 0.799150 loss_bbox: 0.300936 loss_dfl: 0.191180 loss: 1.273240 eta: 7:17:00 batch_cost: 2.7752 data_cost: 0.0016 ips: 28.8272 images/s [10/16 23:05:46] ppdet.engine INFO: Epoch: [274] [180/366] learning_rate: 0.007093 loss_vfl: 0.803994 loss_bbox: 0.298045 loss_dfl: 0.190393 loss: 1.280223 eta: 7:16:04 batch_cost: 2.7684 data_cost: 0.0018 ips: 28.8972 images/s [10/16 23:06:46] ppdet.engine INFO: Epoch: [274] [200/366] learning_rate: 0.007063 loss_vfl: 0.809608 loss_bbox: 0.296349 loss_dfl: 0.188673 loss: 1.287613 eta: 7:15:08 batch_cost: 2.8222 data_cost: 0.0017 ips: 28.3466 images/s [10/16 23:07:45] ppdet.engine INFO: Epoch: [274] [220/366] learning_rate: 0.007033 loss_vfl: 0.820727 loss_bbox: 0.277563 loss_dfl: 0.180874 loss: 1.264056 eta: 7:14:12 batch_cost: 2.8311 data_cost: 0.0025 ips: 28.2579 images/s [10/16 23:08:45] ppdet.engine INFO: Epoch: [274] [240/366] learning_rate: 0.007003 loss_vfl: 0.817714 loss_bbox: 0.270878 loss_dfl: 0.178048 loss: 1.253036 eta: 7:13:16 batch_cost: 2.8327 data_cost: 0.0016 ips: 28.2420 images/s [10/16 23:09:43] ppdet.engine INFO: Epoch: [274] [260/366] learning_rate: 0.006973 loss_vfl: 0.828593 loss_bbox: 0.290457 loss_dfl: 0.179603 loss: 1.286015 eta: 7:12:20 batch_cost: 2.7532 data_cost: 0.0026 ips: 29.0567 images/s [10/16 23:10:42] ppdet.engine INFO: Epoch: [274] [280/366] learning_rate: 0.006943 loss_vfl: 0.812609 loss_bbox: 0.284883 loss_dfl: 0.184352 loss: 1.278061 eta: 7:11:24 batch_cost: 2.7816 data_cost: 0.0017 ips: 28.7608 images/s [10/16 23:11:40] ppdet.engine INFO: Epoch: [274] [300/366] learning_rate: 0.006913 loss_vfl: 0.805620 loss_bbox: 0.274461 loss_dfl: 0.182085 loss: 1.263601 eta: 7:10:28 batch_cost: 2.7539 data_cost: 0.0017 ips: 29.0498 images/s [10/16 23:12:38] ppdet.engine INFO: Epoch: [274] [320/366] learning_rate: 0.006883 loss_vfl: 0.810449 loss_bbox: 0.287272 loss_dfl: 0.184956 loss: 1.282069 eta: 7:09:31 batch_cost: 2.7705 data_cost: 0.0020 ips: 28.8757 images/s [10/16 23:13:37] ppdet.engine INFO: Epoch: [274] [340/366] learning_rate: 0.006853 loss_vfl: 0.808773 loss_bbox: 0.276904 loss_dfl: 0.187231 loss: 1.293247 eta: 7:08:35 batch_cost: 2.7797 data_cost: 0.0037 ips: 28.7798 images/s [10/16 23:14:30] ppdet.engine INFO: Epoch: [274] [360/366] learning_rate: 0.006824 loss_vfl: 0.811962 loss_bbox: 0.285709 loss_dfl: 0.183826 loss: 1.276299 eta: 7:07:39 batch_cost: 2.5192 data_cost: 0.0023 ips: 31.7560 images/s [10/16 23:15:09] ppdet.engine INFO: Epoch: [275] [ 0/366] learning_rate: 0.006815 loss_vfl: 0.809835 loss_bbox: 0.290385 loss_dfl: 0.182371 loss: 1.282212 eta: 7:07:24 batch_cost: 3.4236 data_cost: 0.2069 ips: 23.3671 images/s [10/16 23:16:11] ppdet.engine INFO: Epoch: [275] [ 20/366] learning_rate: 0.006785 loss_vfl: 0.814452 loss_bbox: 0.295562 loss_dfl: 0.184274 loss: 1.276499 eta: 7:06:28 batch_cost: 2.9518 data_cost: 0.0024 ips: 27.1017 images/s [10/16 23:17:10] ppdet.engine INFO: Epoch: [275] [ 40/366] learning_rate: 0.006756 loss_vfl: 0.799149 loss_bbox: 0.272644 loss_dfl: 0.177777 loss: 1.259506 eta: 7:05:32 batch_cost: 2.8131 data_cost: 0.0016 ips: 28.4384 images/s [10/16 23:18:09] ppdet.engine INFO: Epoch: [275] [ 60/366] learning_rate: 0.006726 loss_vfl: 0.819697 loss_bbox: 0.269589 loss_dfl: 0.176968 loss: 1.282586 eta: 7:04:36 batch_cost: 2.7704 data_cost: 0.0016 ips: 28.8764 images/s [10/16 23:19:10] ppdet.engine INFO: Epoch: [275] [ 80/366] learning_rate: 0.006697 loss_vfl: 0.801261 loss_bbox: 0.265307 loss_dfl: 0.176752 loss: 1.246342 eta: 7:03:40 batch_cost: 2.8757 data_cost: 0.0016 ips: 27.8192 images/s [10/16 23:20:09] ppdet.engine INFO: Epoch: [275] [100/366] learning_rate: 0.006668 loss_vfl: 0.792588 loss_bbox: 0.302456 loss_dfl: 0.191367 loss: 1.290667 eta: 7:02:44 batch_cost: 2.7954 data_cost: 0.0017 ips: 28.6186 images/s [10/16 23:21:09] ppdet.engine INFO: Epoch: [275] [120/366] learning_rate: 0.006638 loss_vfl: 0.804179 loss_bbox: 0.285673 loss_dfl: 0.189514 loss: 1.278196 eta: 7:01:48 batch_cost: 2.8428 data_cost: 0.0017 ips: 28.1409 images/s [10/16 23:22:06] ppdet.engine INFO: Epoch: [275] [140/366] learning_rate: 0.006609 loss_vfl: 0.807858 loss_bbox: 0.289848 loss_dfl: 0.180742 loss: 1.281770 eta: 7:00:52 batch_cost: 2.7312 data_cost: 0.0016 ips: 29.2908 images/s [10/16 23:23:05] ppdet.engine INFO: Epoch: [275] [160/366] learning_rate: 0.006580 loss_vfl: 0.830060 loss_bbox: 0.278307 loss_dfl: 0.184052 loss: 1.307055 eta: 6:59:55 batch_cost: 2.8068 data_cost: 0.0016 ips: 28.5021 images/s [10/16 23:24:04] ppdet.engine INFO: Epoch: [275] [180/366] learning_rate: 0.006551 loss_vfl: 0.803862 loss_bbox: 0.294136 loss_dfl: 0.189905 loss: 1.279086 eta: 6:58:59 batch_cost: 2.7890 data_cost: 0.0021 ips: 28.6843 images/s [10/16 23:25:03] ppdet.engine INFO: Epoch: [275] [200/366] learning_rate: 0.006522 loss_vfl: 0.805040 loss_bbox: 0.287837 loss_dfl: 0.186725 loss: 1.277051 eta: 6:58:03 batch_cost: 2.7773 data_cost: 0.0016 ips: 28.8049 images/s [10/16 23:26:02] ppdet.engine INFO: Epoch: [275] [220/366] learning_rate: 0.006493 loss_vfl: 0.797284 loss_bbox: 0.290017 loss_dfl: 0.189226 loss: 1.282103 eta: 6:57:07 batch_cost: 2.7918 data_cost: 0.0017 ips: 28.6555 images/s [10/16 23:27:01] ppdet.engine INFO: Epoch: [275] [240/366] learning_rate: 0.006464 loss_vfl: 0.816502 loss_bbox: 0.285667 loss_dfl: 0.184210 loss: 1.262592 eta: 6:56:11 batch_cost: 2.8030 data_cost: 0.0017 ips: 28.5408 images/s [10/16 23:27:59] ppdet.engine INFO: Epoch: [275] [260/366] learning_rate: 0.006435 loss_vfl: 0.809453 loss_bbox: 0.291377 loss_dfl: 0.187618 loss: 1.273305 eta: 6:55:15 batch_cost: 2.7944 data_cost: 0.0017 ips: 28.6283 images/s [10/16 23:28:58] ppdet.engine INFO: Epoch: [275] [280/366] learning_rate: 0.006406 loss_vfl: 0.798469 loss_bbox: 0.289754 loss_dfl: 0.187219 loss: 1.285900 eta: 6:54:19 batch_cost: 2.7692 data_cost: 0.0016 ips: 28.8888 images/s [10/16 23:29:56] ppdet.engine INFO: Epoch: [275] [300/366] learning_rate: 0.006378 loss_vfl: 0.802250 loss_bbox: 0.282965 loss_dfl: 0.183621 loss: 1.269791 eta: 6:53:23 batch_cost: 2.7790 data_cost: 0.0039 ips: 28.7870 images/s [10/16 23:30:55] ppdet.engine INFO: Epoch: [275] [320/366] learning_rate: 0.006349 loss_vfl: 0.797435 loss_bbox: 0.290539 loss_dfl: 0.187381 loss: 1.281936 eta: 6:52:27 batch_cost: 2.7602 data_cost: 0.0017 ips: 28.9831 images/s [10/16 23:31:54] ppdet.engine INFO: Epoch: [275] [340/366] learning_rate: 0.006320 loss_vfl: 0.803034 loss_bbox: 0.281150 loss_dfl: 0.180123 loss: 1.272342 eta: 6:51:31 batch_cost: 2.8298 data_cost: 0.0017 ips: 28.2708 images/s [10/16 23:32:49] ppdet.engine INFO: Epoch: [275] [360/366] learning_rate: 0.006292 loss_vfl: 0.808962 loss_bbox: 0.286402 loss_dfl: 0.188144 loss: 1.290303 eta: 6:50:34 batch_cost: 2.6096 data_cost: 0.0017 ips: 30.6561 images/s [10/16 23:33:28] ppdet.engine INFO: Epoch: [276] [ 0/366] learning_rate: 0.006283 loss_vfl: 0.809859 loss_bbox: 0.282055 loss_dfl: 0.182960 loss: 1.290303 eta: 6:50:19 batch_cost: 3.4511 data_cost: 0.2812 ips: 23.1808 images/s [10/16 23:34:29] ppdet.engine INFO: Epoch: [276] [ 20/366] learning_rate: 0.006255 loss_vfl: 0.800395 loss_bbox: 0.289294 loss_dfl: 0.186802 loss: 1.274972 eta: 6:49:23 batch_cost: 2.9160 data_cost: 0.0022 ips: 27.4346 images/s [10/16 23:35:28] ppdet.engine INFO: Epoch: [276] [ 40/366] learning_rate: 0.006227 loss_vfl: 0.815942 loss_bbox: 0.256603 loss_dfl: 0.178594 loss: 1.262213 eta: 6:48:27 batch_cost: 2.7871 data_cost: 0.0017 ips: 28.7032 images/s [10/16 23:36:28] ppdet.engine INFO: Epoch: [276] [ 60/366] learning_rate: 0.006198 loss_vfl: 0.816913 loss_bbox: 0.284792 loss_dfl: 0.180705 loss: 1.282316 eta: 6:47:31 batch_cost: 2.8331 data_cost: 0.0018 ips: 28.2371 images/s [10/16 23:37:28] ppdet.engine INFO: Epoch: [276] [ 80/366] learning_rate: 0.006170 loss_vfl: 0.801374 loss_bbox: 0.294280 loss_dfl: 0.186564 loss: 1.280375 eta: 6:46:35 batch_cost: 2.8477 data_cost: 0.0029 ips: 28.0927 images/s [10/16 23:38:28] ppdet.engine INFO: Epoch: [276] [100/366] learning_rate: 0.006142 loss_vfl: 0.802744 loss_bbox: 0.289040 loss_dfl: 0.179465 loss: 1.279021 eta: 6:45:39 batch_cost: 2.8569 data_cost: 0.0018 ips: 28.0022 images/s [10/16 23:39:27] ppdet.engine INFO: Epoch: [276] [120/366] learning_rate: 0.006114 loss_vfl: 0.806837 loss_bbox: 0.296411 loss_dfl: 0.188122 loss: 1.282430 eta: 6:44:43 batch_cost: 2.7969 data_cost: 0.0028 ips: 28.6034 images/s [10/16 23:40:27] ppdet.engine INFO: Epoch: [276] [140/366] learning_rate: 0.006086 loss_vfl: 0.820144 loss_bbox: 0.275370 loss_dfl: 0.180533 loss: 1.277689 eta: 6:43:47 batch_cost: 2.8063 data_cost: 0.0030 ips: 28.5077 images/s [10/16 23:41:26] ppdet.engine INFO: Epoch: [276] [160/366] learning_rate: 0.006058 loss_vfl: 0.803849 loss_bbox: 0.288961 loss_dfl: 0.189676 loss: 1.287759 eta: 6:42:51 batch_cost: 2.8053 data_cost: 0.0018 ips: 28.5176 images/s [10/16 23:42:25] ppdet.engine INFO: Epoch: [276] [180/366] learning_rate: 0.006030 loss_vfl: 0.799389 loss_bbox: 0.279998 loss_dfl: 0.188496 loss: 1.280553 eta: 6:41:55 batch_cost: 2.8295 data_cost: 0.0023 ips: 28.2738 images/s [10/16 23:43:24] ppdet.engine INFO: Epoch: [276] [200/366] learning_rate: 0.006002 loss_vfl: 0.798742 loss_bbox: 0.286419 loss_dfl: 0.184244 loss: 1.262985 eta: 6:40:59 batch_cost: 2.7946 data_cost: 0.0017 ips: 28.6268 images/s [10/16 23:44:24] ppdet.engine INFO: Epoch: [276] [220/366] learning_rate: 0.005974 loss_vfl: 0.806578 loss_bbox: 0.302674 loss_dfl: 0.191393 loss: 1.307624 eta: 6:40:03 batch_cost: 2.8321 data_cost: 0.0018 ips: 28.2476 images/s [10/16 23:45:22] ppdet.engine INFO: Epoch: [276] [240/366] learning_rate: 0.005946 loss_vfl: 0.788022 loss_bbox: 0.287539 loss_dfl: 0.184062 loss: 1.272367 eta: 6:39:07 batch_cost: 2.7273 data_cost: 0.0018 ips: 29.3336 images/s [10/16 23:46:20] ppdet.engine INFO: Epoch: [276] [260/366] learning_rate: 0.005919 loss_vfl: 0.790775 loss_bbox: 0.297880 loss_dfl: 0.186696 loss: 1.289729 eta: 6:38:11 batch_cost: 2.7915 data_cost: 0.0028 ips: 28.6589 images/s [10/16 23:47:18] ppdet.engine INFO: Epoch: [276] [280/366] learning_rate: 0.005891 loss_vfl: 0.809627 loss_bbox: 0.292011 loss_dfl: 0.189284 loss: 1.302374 eta: 6:37:15 batch_cost: 2.7522 data_cost: 0.0016 ips: 29.0673 images/s [10/16 23:48:16] ppdet.engine INFO: Epoch: [276] [300/366] learning_rate: 0.005864 loss_vfl: 0.808287 loss_bbox: 0.281033 loss_dfl: 0.192218 loss: 1.287237 eta: 6:36:18 batch_cost: 2.7171 data_cost: 0.0022 ips: 29.4430 images/s [10/16 23:49:13] ppdet.engine INFO: Epoch: [276] [320/366] learning_rate: 0.005836 loss_vfl: 0.810267 loss_bbox: 0.272942 loss_dfl: 0.178053 loss: 1.265138 eta: 6:35:22 batch_cost: 2.7371 data_cost: 0.0017 ips: 29.2275 images/s [10/16 23:50:12] ppdet.engine INFO: Epoch: [276] [340/366] learning_rate: 0.005809 loss_vfl: 0.797106 loss_bbox: 0.303144 loss_dfl: 0.188920 loss: 1.282711 eta: 6:34:26 batch_cost: 2.7941 data_cost: 0.0028 ips: 28.6322 images/s [10/16 23:51:07] ppdet.engine INFO: Epoch: [276] [360/366] learning_rate: 0.005781 loss_vfl: 0.810252 loss_bbox: 0.291891 loss_dfl: 0.189368 loss: 1.284016 eta: 6:33:30 batch_cost: 2.5988 data_cost: 0.0017 ips: 30.7831 images/s [10/16 23:51:47] ppdet.engine INFO: Epoch: [277] [ 0/366] learning_rate: 0.005773 loss_vfl: 0.819482 loss_bbox: 0.294496 loss_dfl: 0.183500 loss: 1.284016 eta: 6:33:14 batch_cost: 3.5045 data_cost: 0.5385 ips: 22.8280 images/s [10/16 23:52:47] ppdet.engine INFO: Epoch: [277] [ 20/366] learning_rate: 0.005746 loss_vfl: 0.808450 loss_bbox: 0.294285 loss_dfl: 0.190311 loss: 1.286518 eta: 6:32:18 batch_cost: 2.8362 data_cost: 0.0031 ips: 28.2064 images/s [10/16 23:53:46] ppdet.engine INFO: Epoch: [277] [ 40/366] learning_rate: 0.005719 loss_vfl: 0.805261 loss_bbox: 0.294964 loss_dfl: 0.184835 loss: 1.288881 eta: 6:31:22 batch_cost: 2.8226 data_cost: 0.0023 ips: 28.3426 images/s [10/16 23:54:47] ppdet.engine INFO: Epoch: [277] [ 60/366] learning_rate: 0.005692 loss_vfl: 0.791730 loss_bbox: 0.295291 loss_dfl: 0.185070 loss: 1.272615 eta: 6:30:26 batch_cost: 2.8507 data_cost: 0.0017 ips: 28.0633 images/s [10/16 23:55:45] ppdet.engine INFO: Epoch: [277] [ 80/366] learning_rate: 0.005664 loss_vfl: 0.809091 loss_bbox: 0.293321 loss_dfl: 0.184910 loss: 1.294380 eta: 6:29:30 batch_cost: 2.7733 data_cost: 0.0022 ips: 28.8469 images/s [10/16 23:56:43] ppdet.engine INFO: Epoch: [277] [100/366] learning_rate: 0.005637 loss_vfl: 0.820539 loss_bbox: 0.271204 loss_dfl: 0.174856 loss: 1.280331 eta: 6:28:34 batch_cost: 2.7545 data_cost: 0.0017 ips: 29.0434 images/s [10/16 23:57:41] ppdet.engine INFO: Epoch: [277] [120/366] learning_rate: 0.005610 loss_vfl: 0.799948 loss_bbox: 0.288987 loss_dfl: 0.187891 loss: 1.268827 eta: 6:27:38 batch_cost: 2.7697 data_cost: 0.0016 ips: 28.8836 images/s [10/16 23:58:40] ppdet.engine INFO: Epoch: [277] [140/366] learning_rate: 0.005584 loss_vfl: 0.796413 loss_bbox: 0.292054 loss_dfl: 0.190092 loss: 1.281360 eta: 6:26:42 batch_cost: 2.7733 data_cost: 0.0016 ips: 28.8468 images/s [10/16 23:59:37] ppdet.engine INFO: Epoch: [277] [160/366] learning_rate: 0.005557 loss_vfl: 0.805879 loss_bbox: 0.297221 loss_dfl: 0.191423 loss: 1.286477 eta: 6:25:46 batch_cost: 2.7222 data_cost: 0.0021 ips: 29.3878 images/s [10/17 00:00:35] ppdet.engine INFO: Epoch: [277] [180/366] learning_rate: 0.005530 loss_vfl: 0.805987 loss_bbox: 0.283241 loss_dfl: 0.184748 loss: 1.264733 eta: 6:24:50 batch_cost: 2.7359 data_cost: 0.0023 ips: 29.2413 images/s [10/17 00:01:33] ppdet.engine INFO: Epoch: [277] [200/366] learning_rate: 0.005503 loss_vfl: 0.804672 loss_bbox: 0.289987 loss_dfl: 0.187024 loss: 1.286025 eta: 6:23:53 batch_cost: 2.7594 data_cost: 0.0017 ips: 28.9916 images/s [10/17 00:02:32] ppdet.engine INFO: Epoch: [277] [220/366] learning_rate: 0.005477 loss_vfl: 0.804539 loss_bbox: 0.290886 loss_dfl: 0.186314 loss: 1.291713 eta: 6:22:57 batch_cost: 2.8001 data_cost: 0.0041 ips: 28.5702 images/s [10/17 00:03:32] ppdet.engine INFO: Epoch: [277] [240/366] learning_rate: 0.005450 loss_vfl: 0.807023 loss_bbox: 0.279535 loss_dfl: 0.180588 loss: 1.250878 eta: 6:22:01 batch_cost: 2.8254 data_cost: 0.0017 ips: 28.3150 images/s [10/17 00:04:31] ppdet.engine INFO: Epoch: [277] [260/366] learning_rate: 0.005424 loss_vfl: 0.817527 loss_bbox: 0.274335 loss_dfl: 0.181461 loss: 1.285358 eta: 6:21:05 batch_cost: 2.8097 data_cost: 0.0024 ips: 28.4727 images/s [10/17 00:05:29] ppdet.engine INFO: Epoch: [277] [280/366] learning_rate: 0.005397 loss_vfl: 0.802208 loss_bbox: 0.296134 loss_dfl: 0.188032 loss: 1.286611 eta: 6:20:09 batch_cost: 2.7717 data_cost: 0.0017 ips: 28.8634 images/s [10/17 00:06:27] ppdet.engine INFO: Epoch: [277] [300/366] learning_rate: 0.005371 loss_vfl: 0.808791 loss_bbox: 0.284232 loss_dfl: 0.185045 loss: 1.272979 eta: 6:19:13 batch_cost: 2.7118 data_cost: 0.0023 ips: 29.5005 images/s [10/17 00:07:25] ppdet.engine INFO: Epoch: [277] [320/366] learning_rate: 0.005344 loss_vfl: 0.797606 loss_bbox: 0.282744 loss_dfl: 0.182925 loss: 1.267461 eta: 6:18:17 batch_cost: 2.7377 data_cost: 0.0017 ips: 29.2218 images/s [10/17 00:08:23] ppdet.engine INFO: Epoch: [277] [340/366] learning_rate: 0.005318 loss_vfl: 0.809861 loss_bbox: 0.282642 loss_dfl: 0.185957 loss: 1.268112 eta: 6:17:21 batch_cost: 2.7924 data_cost: 0.0021 ips: 28.6490 images/s [10/17 00:09:17] ppdet.engine INFO: Epoch: [277] [360/366] learning_rate: 0.005292 loss_vfl: 0.797971 loss_bbox: 0.281729 loss_dfl: 0.185207 loss: 1.264286 eta: 6:16:24 batch_cost: 2.5422 data_cost: 0.0023 ips: 31.4683 images/s [10/17 00:09:55] ppdet.engine INFO: Epoch: [278] [ 0/366] learning_rate: 0.005284 loss_vfl: 0.789353 loss_bbox: 0.281729 loss_dfl: 0.182584 loss: 1.253648 eta: 6:16:09 batch_cost: 3.3941 data_cost: 0.4927 ips: 23.5703 images/s [10/17 00:10:55] ppdet.engine INFO: Epoch: [278] [ 20/366] learning_rate: 0.005258 loss_vfl: 0.799058 loss_bbox: 0.292512 loss_dfl: 0.192481 loss: 1.283888 eta: 6:15:13 batch_cost: 2.8221 data_cost: 0.0019 ips: 28.3477 images/s [10/17 00:11:52] ppdet.engine INFO: Epoch: [278] [ 40/366] learning_rate: 0.005232 loss_vfl: 0.808056 loss_bbox: 0.296879 loss_dfl: 0.189803 loss: 1.295656 eta: 6:14:17 batch_cost: 2.7249 data_cost: 0.0017 ips: 29.3591 images/s [10/17 00:12:52] ppdet.engine INFO: Epoch: [278] [ 60/366] learning_rate: 0.005206 loss_vfl: 0.805195 loss_bbox: 0.286908 loss_dfl: 0.187547 loss: 1.279854 eta: 6:13:21 batch_cost: 2.8043 data_cost: 0.0016 ips: 28.5275 images/s [10/17 00:13:51] ppdet.engine INFO: Epoch: [278] [ 80/366] learning_rate: 0.005180 loss_vfl: 0.795681 loss_bbox: 0.293213 loss_dfl: 0.187614 loss: 1.285346 eta: 6:12:24 batch_cost: 2.7918 data_cost: 0.0017 ips: 28.6550 images/s [10/17 00:14:48] ppdet.engine INFO: Epoch: [278] [100/366] learning_rate: 0.005154 loss_vfl: 0.813281 loss_bbox: 0.273077 loss_dfl: 0.177761 loss: 1.283762 eta: 6:11:28 batch_cost: 2.7515 data_cost: 0.0017 ips: 29.0746 images/s [10/17 00:15:46] ppdet.engine INFO: Epoch: [278] [120/366] learning_rate: 0.005129 loss_vfl: 0.793561 loss_bbox: 0.274453 loss_dfl: 0.185533 loss: 1.274922 eta: 6:10:32 batch_cost: 2.7429 data_cost: 0.0017 ips: 29.1657 images/s [10/17 00:16:46] ppdet.engine INFO: Epoch: [278] [140/366] learning_rate: 0.005103 loss_vfl: 0.805647 loss_bbox: 0.292575 loss_dfl: 0.191003 loss: 1.303875 eta: 6:09:36 batch_cost: 2.8250 data_cost: 0.0024 ips: 28.3182 images/s [10/17 00:17:43] ppdet.engine INFO: Epoch: [278] [160/366] learning_rate: 0.005077 loss_vfl: 0.793571 loss_bbox: 0.312072 loss_dfl: 0.187799 loss: 1.289184 eta: 6:08:40 batch_cost: 2.7231 data_cost: 0.0017 ips: 29.3784 images/s [10/17 00:18:42] ppdet.engine INFO: Epoch: [278] [180/366] learning_rate: 0.005052 loss_vfl: 0.819889 loss_bbox: 0.285468 loss_dfl: 0.183702 loss: 1.293510 eta: 6:07:44 batch_cost: 2.7777 data_cost: 0.0029 ips: 28.8008 images/s [10/17 00:19:40] ppdet.engine INFO: Epoch: [278] [200/366] learning_rate: 0.005026 loss_vfl: 0.812825 loss_bbox: 0.282951 loss_dfl: 0.181344 loss: 1.300624 eta: 6:06:48 batch_cost: 2.7635 data_cost: 0.0017 ips: 28.9484 images/s [10/17 00:20:39] ppdet.engine INFO: Epoch: [278] [220/366] learning_rate: 0.005001 loss_vfl: 0.803061 loss_bbox: 0.293378 loss_dfl: 0.186080 loss: 1.293662 eta: 6:05:52 batch_cost: 2.8111 data_cost: 0.0036 ips: 28.4591 images/s [10/17 00:21:38] ppdet.engine INFO: Epoch: [278] [240/366] learning_rate: 0.004975 loss_vfl: 0.804748 loss_bbox: 0.279161 loss_dfl: 0.180340 loss: 1.271317 eta: 6:04:56 batch_cost: 2.7834 data_cost: 0.0017 ips: 28.7421 images/s [10/17 00:22:37] ppdet.engine INFO: Epoch: [278] [260/366] learning_rate: 0.004950 loss_vfl: 0.801482 loss_bbox: 0.282760 loss_dfl: 0.186862 loss: 1.273628 eta: 6:04:00 batch_cost: 2.8102 data_cost: 0.0032 ips: 28.4675 images/s [10/17 00:23:35] ppdet.engine INFO: Epoch: [278] [280/366] learning_rate: 0.004925 loss_vfl: 0.788969 loss_bbox: 0.302178 loss_dfl: 0.195950 loss: 1.287936 eta: 6:03:03 batch_cost: 2.7287 data_cost: 0.0017 ips: 29.3177 images/s [10/17 00:24:32] ppdet.engine INFO: Epoch: [278] [300/366] learning_rate: 0.004899 loss_vfl: 0.801899 loss_bbox: 0.270961 loss_dfl: 0.180089 loss: 1.277104 eta: 6:02:07 batch_cost: 2.7064 data_cost: 0.0021 ips: 29.5599 images/s [10/17 00:25:32] ppdet.engine INFO: Epoch: [278] [320/366] learning_rate: 0.004874 loss_vfl: 0.804920 loss_bbox: 0.291221 loss_dfl: 0.183696 loss: 1.293882 eta: 6:01:11 batch_cost: 2.8481 data_cost: 0.0016 ips: 28.0893 images/s [10/17 00:26:31] ppdet.engine INFO: Epoch: [278] [340/366] learning_rate: 0.004849 loss_vfl: 0.819180 loss_bbox: 0.298944 loss_dfl: 0.194245 loss: 1.304644 eta: 6:00:15 batch_cost: 2.8281 data_cost: 0.0016 ips: 28.2874 images/s [10/17 00:27:29] ppdet.engine INFO: Epoch: [278] [360/366] learning_rate: 0.004824 loss_vfl: 0.808627 loss_bbox: 0.294473 loss_dfl: 0.193648 loss: 1.306361 eta: 5:59:19 batch_cost: 2.7139 data_cost: 0.0017 ips: 29.4781 images/s [10/17 00:28:08] ppdet.engine INFO: Epoch: [279] [ 0/366] learning_rate: 0.004817 loss_vfl: 0.809162 loss_bbox: 0.284690 loss_dfl: 0.179649 loss: 1.293888 eta: 5:59:04 batch_cost: 3.6243 data_cost: 0.6550 ips: 22.0730 images/s [10/17 00:29:12] ppdet.engine INFO: Epoch: [279] [ 20/366] learning_rate: 0.004792 loss_vfl: 0.812321 loss_bbox: 0.295831 loss_dfl: 0.194993 loss: 1.276190 eta: 5:58:08 batch_cost: 2.8967 data_cost: 0.0018 ips: 27.6180 images/s [10/17 00:30:15] ppdet.engine INFO: Epoch: [279] [ 40/366] learning_rate: 0.004767 loss_vfl: 0.810897 loss_bbox: 0.298386 loss_dfl: 0.188118 loss: 1.283159 eta: 5:57:12 batch_cost: 2.9826 data_cost: 0.0044 ips: 26.8225 images/s [10/17 00:31:15] ppdet.engine INFO: Epoch: [279] [ 60/366] learning_rate: 0.004742 loss_vfl: 0.801372 loss_bbox: 0.276372 loss_dfl: 0.179825 loss: 1.262438 eta: 5:56:16 batch_cost: 2.8659 data_cost: 0.0017 ips: 27.9140 images/s [10/17 00:32:14] ppdet.engine INFO: Epoch: [279] [ 80/366] learning_rate: 0.004717 loss_vfl: 0.802692 loss_bbox: 0.276949 loss_dfl: 0.181963 loss: 1.261435 eta: 5:55:20 batch_cost: 2.7966 data_cost: 0.0016 ips: 28.6061 images/s [10/17 00:33:13] ppdet.engine INFO: Epoch: [279] [100/366] learning_rate: 0.004693 loss_vfl: 0.814462 loss_bbox: 0.292503 loss_dfl: 0.189254 loss: 1.282248 eta: 5:54:24 batch_cost: 2.8244 data_cost: 0.0019 ips: 28.3245 images/s [10/17 00:34:14] ppdet.engine INFO: Epoch: [279] [120/366] learning_rate: 0.004668 loss_vfl: 0.795453 loss_bbox: 0.286623 loss_dfl: 0.180257 loss: 1.270134 eta: 5:53:28 batch_cost: 2.8628 data_cost: 0.0018 ips: 27.9444 images/s [10/17 00:35:14] ppdet.engine INFO: Epoch: [279] [140/366] learning_rate: 0.004643 loss_vfl: 0.802184 loss_bbox: 0.272081 loss_dfl: 0.183056 loss: 1.262877 eta: 5:52:32 batch_cost: 2.8346 data_cost: 0.0018 ips: 28.2225 images/s [10/17 00:36:12] ppdet.engine INFO: Epoch: [279] [160/366] learning_rate: 0.004619 loss_vfl: 0.804836 loss_bbox: 0.286301 loss_dfl: 0.182801 loss: 1.272089 eta: 5:51:36 batch_cost: 2.7894 data_cost: 0.0021 ips: 28.6796 images/s [10/17 00:37:10] ppdet.engine INFO: Epoch: [279] [180/366] learning_rate: 0.004595 loss_vfl: 0.803501 loss_bbox: 0.294491 loss_dfl: 0.194679 loss: 1.290954 eta: 5:50:40 batch_cost: 2.7559 data_cost: 0.0017 ips: 29.0286 images/s [10/17 00:38:09] ppdet.engine INFO: Epoch: [279] [200/366] learning_rate: 0.004570 loss_vfl: 0.799793 loss_bbox: 0.277032 loss_dfl: 0.182393 loss: 1.260717 eta: 5:49:43 batch_cost: 2.7916 data_cost: 0.0017 ips: 28.6577 images/s [10/17 00:39:09] ppdet.engine INFO: Epoch: [279] [220/366] learning_rate: 0.004546 loss_vfl: 0.803384 loss_bbox: 0.293976 loss_dfl: 0.186825 loss: 1.261299 eta: 5:48:47 batch_cost: 2.8111 data_cost: 0.0024 ips: 28.4585 images/s [10/17 00:40:07] ppdet.engine INFO: Epoch: [279] [240/366] learning_rate: 0.004522 loss_vfl: 0.806627 loss_bbox: 0.295007 loss_dfl: 0.187913 loss: 1.280201 eta: 5:47:51 batch_cost: 2.7823 data_cost: 0.0025 ips: 28.7529 images/s [10/17 00:41:05] ppdet.engine INFO: Epoch: [279] [260/366] learning_rate: 0.004497 loss_vfl: 0.806584 loss_bbox: 0.299656 loss_dfl: 0.186915 loss: 1.294953 eta: 5:46:55 batch_cost: 2.7431 data_cost: 0.0017 ips: 29.1638 images/s [10/17 00:42:04] ppdet.engine INFO: Epoch: [279] [280/366] learning_rate: 0.004473 loss_vfl: 0.802459 loss_bbox: 0.286200 loss_dfl: 0.187017 loss: 1.273990 eta: 5:45:59 batch_cost: 2.7794 data_cost: 0.0017 ips: 28.7831 images/s [10/17 00:43:02] ppdet.engine INFO: Epoch: [279] [300/366] learning_rate: 0.004449 loss_vfl: 0.798760 loss_bbox: 0.297248 loss_dfl: 0.189068 loss: 1.294834 eta: 5:45:03 batch_cost: 2.7696 data_cost: 0.0017 ips: 28.8853 images/s [10/17 00:44:03] ppdet.engine INFO: Epoch: [279] [320/366] learning_rate: 0.004425 loss_vfl: 0.803644 loss_bbox: 0.287766 loss_dfl: 0.184324 loss: 1.273181 eta: 5:44:07 batch_cost: 2.8756 data_cost: 0.0025 ips: 27.8205 images/s [10/17 00:45:02] ppdet.engine INFO: Epoch: [279] [340/366] learning_rate: 0.004401 loss_vfl: 0.806365 loss_bbox: 0.292328 loss_dfl: 0.187780 loss: 1.277869 eta: 5:43:11 batch_cost: 2.7835 data_cost: 0.0017 ips: 28.7406 images/s [10/17 00:45:56] ppdet.engine INFO: Epoch: [279] [360/366] learning_rate: 0.004378 loss_vfl: 0.787762 loss_bbox: 0.282180 loss_dfl: 0.187828 loss: 1.266026 eta: 5:42:14 batch_cost: 2.5328 data_cost: 0.0016 ips: 31.5856 images/s [10/17 00:46:12] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/17 00:46:13] ppdet.engine INFO: Eval iter: 0 [10/17 00:46:54] ppdet.engine INFO: Eval iter: 100 [10/17 00:47:16] ppdet.engine INFO: Eval iter: 200 [10/17 00:47:39] ppdet.engine INFO: Eval iter: 300 [10/17 00:48:02] ppdet.engine INFO: Eval iter: 400 [10/17 00:48:24] ppdet.engine INFO: Eval iter: 500 [10/17 00:48:47] ppdet.engine INFO: Eval iter: 600 [10/17 00:49:08] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.69s) creating index... index created! [10/17 00:49:08] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.22s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=96.99s). Accumulating evaluation results... DONE (t=17.39s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.454 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.319 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.322 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.497 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 ] = 0.435 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.195 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.710 [10/17 00:51:10] ppdet.engine INFO: Total sample number: 5000, averge FPS: 30.929905410402885 [10/17 00:51:10] ppdet.engine INFO: Best test bbox ap is 0.307. [10/17 00:51:12] ppdet.engine INFO: Epoch: [280] [ 0/366] learning_rate: 0.004370 loss_vfl: 0.792280 loss_bbox: 0.281747 loss_dfl: 0.186330 loss: 1.265017 eta: 5:41:57 batch_cost: 2.3566 data_cost: 0.0017 ips: 33.9474 images/s [10/17 00:52:13] ppdet.engine INFO: Epoch: [280] [ 20/366] learning_rate: 0.004347 loss_vfl: 0.807022 loss_bbox: 0.284243 loss_dfl: 0.188285 loss: 1.289110 eta: 5:41:02 batch_cost: 2.8927 data_cost: 0.0020 ips: 27.6557 images/s [10/17 00:53:14] ppdet.engine INFO: Epoch: [280] [ 40/366] learning_rate: 0.004323 loss_vfl: 0.798978 loss_bbox: 0.290570 loss_dfl: 0.186309 loss: 1.269135 eta: 5:40:06 batch_cost: 2.8772 data_cost: 0.0030 ips: 27.8044 images/s [10/17 00:54:12] ppdet.engine INFO: Epoch: [280] [ 60/366] learning_rate: 0.004299 loss_vfl: 0.807853 loss_bbox: 0.303311 loss_dfl: 0.189969 loss: 1.304420 eta: 5:39:09 batch_cost: 2.7733 data_cost: 0.0016 ips: 28.8467 images/s [10/17 00:55:12] ppdet.engine INFO: Epoch: [280] [ 80/366] learning_rate: 0.004276 loss_vfl: 0.820324 loss_bbox: 0.283854 loss_dfl: 0.187007 loss: 1.272912 eta: 5:38:13 batch_cost: 2.8339 data_cost: 0.0026 ips: 28.2296 images/s [10/17 00:56:12] ppdet.engine INFO: Epoch: [280] [100/366] learning_rate: 0.004252 loss_vfl: 0.804462 loss_bbox: 0.279496 loss_dfl: 0.183224 loss: 1.270055 eta: 5:37:17 batch_cost: 2.8224 data_cost: 0.0017 ips: 28.3443 images/s [10/17 00:57:11] ppdet.engine INFO: Epoch: [280] [120/366] learning_rate: 0.004229 loss_vfl: 0.799854 loss_bbox: 0.273498 loss_dfl: 0.182964 loss: 1.275041 eta: 5:36:21 batch_cost: 2.8354 data_cost: 0.0027 ips: 28.2151 images/s [10/17 00:58:09] ppdet.engine INFO: Epoch: [280] [140/366] learning_rate: 0.004205 loss_vfl: 0.806727 loss_bbox: 0.288436 loss_dfl: 0.183568 loss: 1.283167 eta: 5:35:25 batch_cost: 2.7573 data_cost: 0.0024 ips: 29.0134 images/s [10/17 00:59:08] ppdet.engine INFO: Epoch: [280] [160/366] learning_rate: 0.004182 loss_vfl: 0.793909 loss_bbox: 0.295276 loss_dfl: 0.182662 loss: 1.270206 eta: 5:34:29 batch_cost: 2.7547 data_cost: 0.0017 ips: 29.0408 images/s [10/17 01:00:08] ppdet.engine INFO: Epoch: [280] [180/366] learning_rate: 0.004159 loss_vfl: 0.800132 loss_bbox: 0.298188 loss_dfl: 0.192868 loss: 1.303591 eta: 5:33:33 batch_cost: 2.8447 data_cost: 0.0022 ips: 28.1226 images/s [10/17 01:01:07] ppdet.engine INFO: Epoch: [280] [200/366] learning_rate: 0.004136 loss_vfl: 0.791383 loss_bbox: 0.308964 loss_dfl: 0.191754 loss: 1.278316 eta: 5:32:37 batch_cost: 2.8021 data_cost: 0.0023 ips: 28.5501 images/s [10/17 01:02:06] ppdet.engine INFO: Epoch: [280] [220/366] learning_rate: 0.004113 loss_vfl: 0.788515 loss_bbox: 0.280689 loss_dfl: 0.180186 loss: 1.245850 eta: 5:31:41 batch_cost: 2.8312 data_cost: 0.0017 ips: 28.2566 images/s [10/17 01:03:06] ppdet.engine INFO: Epoch: [280] [240/366] learning_rate: 0.004090 loss_vfl: 0.797682 loss_bbox: 0.273165 loss_dfl: 0.178206 loss: 1.252044 eta: 5:30:45 batch_cost: 2.8185 data_cost: 0.0023 ips: 28.3836 images/s [10/17 01:04:05] ppdet.engine INFO: Epoch: [280] [260/366] learning_rate: 0.004067 loss_vfl: 0.819362 loss_bbox: 0.288852 loss_dfl: 0.176217 loss: 1.284215 eta: 5:29:49 batch_cost: 2.7816 data_cost: 0.0017 ips: 28.7609 images/s [10/17 01:05:02] ppdet.engine INFO: Epoch: [280] [280/366] learning_rate: 0.004044 loss_vfl: 0.807430 loss_bbox: 0.274625 loss_dfl: 0.186243 loss: 1.276866 eta: 5:28:53 batch_cost: 2.7303 data_cost: 0.0016 ips: 29.3009 images/s [10/17 01:06:02] ppdet.engine INFO: Epoch: [280] [300/366] learning_rate: 0.004021 loss_vfl: 0.812307 loss_bbox: 0.292659 loss_dfl: 0.190316 loss: 1.295240 eta: 5:27:57 batch_cost: 2.8355 data_cost: 0.0017 ips: 28.2137 images/s [10/17 01:07:01] ppdet.engine INFO: Epoch: [280] [320/366] learning_rate: 0.003998 loss_vfl: 0.796744 loss_bbox: 0.281293 loss_dfl: 0.179196 loss: 1.260727 eta: 5:27:01 batch_cost: 2.7877 data_cost: 0.0018 ips: 28.6973 images/s [10/17 01:08:00] ppdet.engine INFO: Epoch: [280] [340/366] learning_rate: 0.003975 loss_vfl: 0.812645 loss_bbox: 0.283400 loss_dfl: 0.180071 loss: 1.280391 eta: 5:26:05 batch_cost: 2.8132 data_cost: 0.0028 ips: 28.4377 images/s [10/17 01:08:55] ppdet.engine INFO: Epoch: [280] [360/366] learning_rate: 0.003953 loss_vfl: 0.790722 loss_bbox: 0.295302 loss_dfl: 0.185157 loss: 1.277471 eta: 5:25:08 batch_cost: 2.5917 data_cost: 0.0017 ips: 30.8680 images/s [10/17 01:09:39] ppdet.engine INFO: Epoch: [281] [ 0/366] learning_rate: 0.003946 loss_vfl: 0.793125 loss_bbox: 0.293705 loss_dfl: 0.188948 loss: 1.278193 eta: 5:24:53 batch_cost: 3.7009 data_cost: 0.7833 ips: 21.6164 images/s [10/17 01:10:40] ppdet.engine INFO: Epoch: [281] [ 20/366] learning_rate: 0.003923 loss_vfl: 0.807015 loss_bbox: 0.281545 loss_dfl: 0.184492 loss: 1.280644 eta: 5:23:57 batch_cost: 2.8457 data_cost: 0.0024 ips: 28.1129 images/s [10/17 01:11:39] ppdet.engine INFO: Epoch: [281] [ 40/366] learning_rate: 0.003901 loss_vfl: 0.813679 loss_bbox: 0.286667 loss_dfl: 0.178305 loss: 1.265813 eta: 5:23:01 batch_cost: 2.7996 data_cost: 0.0017 ips: 28.5758 images/s [10/17 01:12:38] ppdet.engine INFO: Epoch: [281] [ 60/366] learning_rate: 0.003878 loss_vfl: 0.811942 loss_bbox: 0.287761 loss_dfl: 0.179951 loss: 1.286020 eta: 5:22:05 batch_cost: 2.8133 data_cost: 0.0024 ips: 28.4360 images/s [10/17 01:13:39] ppdet.engine INFO: Epoch: [281] [ 80/366] learning_rate: 0.003856 loss_vfl: 0.816181 loss_bbox: 0.274760 loss_dfl: 0.179180 loss: 1.276860 eta: 5:21:09 batch_cost: 2.9025 data_cost: 0.0028 ips: 27.5627 images/s [10/17 01:14:37] ppdet.engine INFO: Epoch: [281] [100/366] learning_rate: 0.003833 loss_vfl: 0.801324 loss_bbox: 0.294024 loss_dfl: 0.188629 loss: 1.285519 eta: 5:20:13 batch_cost: 2.7779 data_cost: 0.0016 ips: 28.7984 images/s [10/17 01:15:36] ppdet.engine INFO: Epoch: [281] [120/366] learning_rate: 0.003811 loss_vfl: 0.807134 loss_bbox: 0.280363 loss_dfl: 0.185170 loss: 1.281215 eta: 5:19:17 batch_cost: 2.7998 data_cost: 0.0022 ips: 28.5732 images/s [10/17 01:16:37] ppdet.engine INFO: Epoch: [281] [140/366] learning_rate: 0.003789 loss_vfl: 0.806672 loss_bbox: 0.288605 loss_dfl: 0.183635 loss: 1.261635 eta: 5:18:21 batch_cost: 2.8968 data_cost: 0.0016 ips: 27.6171 images/s [10/17 01:17:36] ppdet.engine INFO: Epoch: [281] [160/366] learning_rate: 0.003767 loss_vfl: 0.806969 loss_bbox: 0.273668 loss_dfl: 0.181501 loss: 1.254897 eta: 5:17:25 batch_cost: 2.8090 data_cost: 0.0016 ips: 28.4798 images/s [10/17 01:18:35] ppdet.engine INFO: Epoch: [281] [180/366] learning_rate: 0.003745 loss_vfl: 0.811519 loss_bbox: 0.285524 loss_dfl: 0.187574 loss: 1.299062 eta: 5:16:29 batch_cost: 2.7882 data_cost: 0.0017 ips: 28.6922 images/s [10/17 01:19:34] ppdet.engine INFO: Epoch: [281] [200/366] learning_rate: 0.003723 loss_vfl: 0.787531 loss_bbox: 0.288264 loss_dfl: 0.182203 loss: 1.258147 eta: 5:15:33 batch_cost: 2.7766 data_cost: 0.0024 ips: 28.8125 images/s [10/17 01:20:34] ppdet.engine INFO: Epoch: [281] [220/366] learning_rate: 0.003701 loss_vfl: 0.796624 loss_bbox: 0.286195 loss_dfl: 0.188472 loss: 1.284569 eta: 5:14:37 batch_cost: 2.8598 data_cost: 0.0017 ips: 27.9743 images/s [10/17 01:21:35] ppdet.engine INFO: Epoch: [281] [240/366] learning_rate: 0.003679 loss_vfl: 0.797631 loss_bbox: 0.276161 loss_dfl: 0.185564 loss: 1.261945 eta: 5:13:41 batch_cost: 2.8763 data_cost: 0.0023 ips: 27.8140 images/s [10/17 01:22:36] ppdet.engine INFO: Epoch: [281] [260/366] learning_rate: 0.003657 loss_vfl: 0.812152 loss_bbox: 0.278825 loss_dfl: 0.184714 loss: 1.273772 eta: 5:12:45 batch_cost: 2.8841 data_cost: 0.0023 ips: 27.7378 images/s [10/17 01:23:35] ppdet.engine INFO: Epoch: [281] [280/366] learning_rate: 0.003635 loss_vfl: 0.809615 loss_bbox: 0.292423 loss_dfl: 0.188215 loss: 1.301933 eta: 5:11:49 batch_cost: 2.8197 data_cost: 0.0017 ips: 28.3713 images/s [10/17 01:24:34] ppdet.engine INFO: Epoch: [281] [300/366] learning_rate: 0.003614 loss_vfl: 0.807984 loss_bbox: 0.283490 loss_dfl: 0.183019 loss: 1.284409 eta: 5:10:53 batch_cost: 2.7978 data_cost: 0.0023 ips: 28.5934 images/s [10/17 01:25:34] ppdet.engine INFO: Epoch: [281] [320/366] learning_rate: 0.003592 loss_vfl: 0.805404 loss_bbox: 0.287250 loss_dfl: 0.186403 loss: 1.269183 eta: 5:09:56 batch_cost: 2.8373 data_cost: 0.0024 ips: 28.1961 images/s [10/17 01:26:33] ppdet.engine INFO: Epoch: [281] [340/366] learning_rate: 0.003570 loss_vfl: 0.790160 loss_bbox: 0.285440 loss_dfl: 0.187153 loss: 1.267350 eta: 5:09:00 batch_cost: 2.8139 data_cost: 0.0017 ips: 28.4307 images/s [10/17 01:27:28] ppdet.engine INFO: Epoch: [281] [360/366] learning_rate: 0.003549 loss_vfl: 0.810727 loss_bbox: 0.283607 loss_dfl: 0.180023 loss: 1.276705 eta: 5:08:04 batch_cost: 2.6162 data_cost: 0.0016 ips: 30.5786 images/s [10/17 01:28:08] ppdet.engine INFO: Epoch: [282] [ 0/366] learning_rate: 0.003543 loss_vfl: 0.812942 loss_bbox: 0.310130 loss_dfl: 0.187111 loss: 1.295474 eta: 5:07:48 batch_cost: 3.4941 data_cost: 0.3827 ips: 22.8959 images/s [10/17 01:29:11] ppdet.engine INFO: Epoch: [282] [ 20/366] learning_rate: 0.003521 loss_vfl: 0.808338 loss_bbox: 0.290187 loss_dfl: 0.186141 loss: 1.293278 eta: 5:06:53 batch_cost: 2.9790 data_cost: 0.0017 ips: 26.8543 images/s [10/17 01:30:11] ppdet.engine INFO: Epoch: [282] [ 40/366] learning_rate: 0.003500 loss_vfl: 0.789420 loss_bbox: 0.293298 loss_dfl: 0.186875 loss: 1.275649 eta: 5:05:57 batch_cost: 2.8483 data_cost: 0.0018 ips: 28.0866 images/s [10/17 01:31:11] ppdet.engine INFO: Epoch: [282] [ 60/366] learning_rate: 0.003479 loss_vfl: 0.810990 loss_bbox: 0.305592 loss_dfl: 0.195319 loss: 1.295232 eta: 5:05:01 batch_cost: 2.8555 data_cost: 0.0016 ips: 28.0158 images/s [10/17 01:32:10] ppdet.engine INFO: Epoch: [282] [ 80/366] learning_rate: 0.003457 loss_vfl: 0.808377 loss_bbox: 0.280815 loss_dfl: 0.187464 loss: 1.281806 eta: 5:04:05 batch_cost: 2.8426 data_cost: 0.0018 ips: 28.1433 images/s [10/17 01:33:08] ppdet.engine INFO: Epoch: [282] [100/366] learning_rate: 0.003436 loss_vfl: 0.801930 loss_bbox: 0.290028 loss_dfl: 0.189627 loss: 1.289047 eta: 5:03:08 batch_cost: 2.7483 data_cost: 0.0023 ips: 29.1087 images/s [10/17 01:34:09] ppdet.engine INFO: Epoch: [282] [120/366] learning_rate: 0.003415 loss_vfl: 0.812615 loss_bbox: 0.284982 loss_dfl: 0.184492 loss: 1.291493 eta: 5:02:12 batch_cost: 2.8723 data_cost: 0.0027 ips: 27.8524 images/s [10/17 01:35:08] ppdet.engine INFO: Epoch: [282] [140/366] learning_rate: 0.003394 loss_vfl: 0.808501 loss_bbox: 0.289075 loss_dfl: 0.191553 loss: 1.278445 eta: 5:01:16 batch_cost: 2.8107 data_cost: 0.0016 ips: 28.4623 images/s [10/17 01:36:09] ppdet.engine INFO: Epoch: [282] [160/366] learning_rate: 0.003373 loss_vfl: 0.798763 loss_bbox: 0.292573 loss_dfl: 0.185103 loss: 1.271708 eta: 5:00:20 batch_cost: 2.8812 data_cost: 0.0023 ips: 27.7664 images/s [10/17 01:37:09] ppdet.engine INFO: Epoch: [282] [180/366] learning_rate: 0.003352 loss_vfl: 0.790747 loss_bbox: 0.289522 loss_dfl: 0.182982 loss: 1.265622 eta: 4:59:24 batch_cost: 2.8321 data_cost: 0.0017 ips: 28.2472 images/s [10/17 01:38:07] ppdet.engine INFO: Epoch: [282] [200/366] learning_rate: 0.003331 loss_vfl: 0.812283 loss_bbox: 0.285173 loss_dfl: 0.185446 loss: 1.288706 eta: 4:58:28 batch_cost: 2.7621 data_cost: 0.0018 ips: 28.9630 images/s [10/17 01:39:06] ppdet.engine INFO: Epoch: [282] [220/366] learning_rate: 0.003311 loss_vfl: 0.806296 loss_bbox: 0.299689 loss_dfl: 0.191554 loss: 1.299945 eta: 4:57:32 batch_cost: 2.7927 data_cost: 0.0017 ips: 28.6466 images/s [10/17 01:40:05] ppdet.engine INFO: Epoch: [282] [240/366] learning_rate: 0.003290 loss_vfl: 0.822493 loss_bbox: 0.277900 loss_dfl: 0.181267 loss: 1.263638 eta: 4:56:36 batch_cost: 2.7909 data_cost: 0.0023 ips: 28.6649 images/s [10/17 01:41:04] ppdet.engine INFO: Epoch: [282] [260/366] learning_rate: 0.003269 loss_vfl: 0.803950 loss_bbox: 0.286906 loss_dfl: 0.184815 loss: 1.265849 eta: 4:55:40 batch_cost: 2.8296 data_cost: 0.0019 ips: 28.2728 images/s [10/17 01:42:03] ppdet.engine INFO: Epoch: [282] [280/366] learning_rate: 0.003249 loss_vfl: 0.795507 loss_bbox: 0.287421 loss_dfl: 0.188919 loss: 1.291897 eta: 4:54:44 batch_cost: 2.7940 data_cost: 0.0016 ips: 28.6329 images/s [10/17 01:43:02] ppdet.engine INFO: Epoch: [282] [300/366] learning_rate: 0.003228 loss_vfl: 0.805843 loss_bbox: 0.294767 loss_dfl: 0.189297 loss: 1.285194 eta: 4:53:48 batch_cost: 2.7739 data_cost: 0.0017 ips: 28.8407 images/s [10/17 01:43:59] ppdet.engine INFO: Epoch: [282] [320/366] learning_rate: 0.003208 loss_vfl: 0.809362 loss_bbox: 0.279496 loss_dfl: 0.180445 loss: 1.266500 eta: 4:52:52 batch_cost: 2.7146 data_cost: 0.0016 ips: 29.4706 images/s [10/17 01:44:59] ppdet.engine INFO: Epoch: [282] [340/366] learning_rate: 0.003187 loss_vfl: 0.808203 loss_bbox: 0.276019 loss_dfl: 0.183983 loss: 1.289523 eta: 4:51:56 batch_cost: 2.8618 data_cost: 0.0034 ips: 27.9542 images/s [10/17 01:45:54] ppdet.engine INFO: Epoch: [282] [360/366] learning_rate: 0.003167 loss_vfl: 0.807867 loss_bbox: 0.284331 loss_dfl: 0.185391 loss: 1.287830 eta: 4:50:59 batch_cost: 2.5916 data_cost: 0.0023 ips: 30.8692 images/s [10/17 01:46:32] ppdet.engine INFO: Epoch: [283] [ 0/366] learning_rate: 0.003161 loss_vfl: 0.815272 loss_bbox: 0.290947 loss_dfl: 0.189002 loss: 1.286280 eta: 4:50:44 batch_cost: 3.4250 data_cost: 0.4013 ips: 23.3575 images/s [10/17 01:47:38] ppdet.engine INFO: Epoch: [283] [ 20/366] learning_rate: 0.003141 loss_vfl: 0.798576 loss_bbox: 0.288172 loss_dfl: 0.191028 loss: 1.268876 eta: 4:49:48 batch_cost: 3.1224 data_cost: 0.0025 ips: 25.6212 images/s [10/17 01:48:38] ppdet.engine INFO: Epoch: [283] [ 40/366] learning_rate: 0.003120 loss_vfl: 0.799327 loss_bbox: 0.283807 loss_dfl: 0.183435 loss: 1.276939 eta: 4:48:52 batch_cost: 2.8912 data_cost: 0.0019 ips: 27.6706 images/s [10/17 01:49:39] ppdet.engine INFO: Epoch: [283] [ 60/366] learning_rate: 0.003100 loss_vfl: 0.807703 loss_bbox: 0.278380 loss_dfl: 0.179935 loss: 1.243658 eta: 4:47:56 batch_cost: 2.8791 data_cost: 0.0024 ips: 27.7866 images/s [10/17 01:50:39] ppdet.engine INFO: Epoch: [283] [ 80/366] learning_rate: 0.003080 loss_vfl: 0.813444 loss_bbox: 0.278365 loss_dfl: 0.182484 loss: 1.266511 eta: 4:47:00 batch_cost: 2.8530 data_cost: 0.0017 ips: 28.0405 images/s [10/17 01:51:38] ppdet.engine INFO: Epoch: [283] [100/366] learning_rate: 0.003060 loss_vfl: 0.802409 loss_bbox: 0.290634 loss_dfl: 0.191538 loss: 1.285583 eta: 4:46:04 batch_cost: 2.7886 data_cost: 0.0017 ips: 28.6885 images/s [10/17 01:52:38] ppdet.engine INFO: Epoch: [283] [120/366] learning_rate: 0.003040 loss_vfl: 0.799383 loss_bbox: 0.286293 loss_dfl: 0.191358 loss: 1.285871 eta: 4:45:08 batch_cost: 2.8368 data_cost: 0.0023 ips: 28.2013 images/s [10/17 01:53:37] ppdet.engine INFO: Epoch: [283] [140/366] learning_rate: 0.003021 loss_vfl: 0.799811 loss_bbox: 0.294537 loss_dfl: 0.188780 loss: 1.279651 eta: 4:44:12 batch_cost: 2.8091 data_cost: 0.0016 ips: 28.4793 images/s [10/17 01:54:36] ppdet.engine INFO: Epoch: [283] [160/366] learning_rate: 0.003001 loss_vfl: 0.798059 loss_bbox: 0.296034 loss_dfl: 0.186612 loss: 1.277528 eta: 4:43:16 batch_cost: 2.8052 data_cost: 0.0022 ips: 28.5186 images/s [10/17 01:55:36] ppdet.engine INFO: Epoch: [283] [180/366] learning_rate: 0.002981 loss_vfl: 0.789464 loss_bbox: 0.276200 loss_dfl: 0.175809 loss: 1.246711 eta: 4:42:20 batch_cost: 2.8489 data_cost: 0.0025 ips: 28.0808 images/s [10/17 01:56:35] ppdet.engine INFO: Epoch: [283] [200/366] learning_rate: 0.002961 loss_vfl: 0.805898 loss_bbox: 0.267477 loss_dfl: 0.177844 loss: 1.261969 eta: 4:41:24 batch_cost: 2.7870 data_cost: 0.0017 ips: 28.7046 images/s [10/17 01:57:35] ppdet.engine INFO: Epoch: [283] [220/366] learning_rate: 0.002942 loss_vfl: 0.806614 loss_bbox: 0.293117 loss_dfl: 0.188443 loss: 1.297098 eta: 4:40:28 batch_cost: 2.8562 data_cost: 0.0018 ips: 28.0094 images/s [10/17 01:58:34] ppdet.engine INFO: Epoch: [283] [240/366] learning_rate: 0.002922 loss_vfl: 0.798982 loss_bbox: 0.296968 loss_dfl: 0.190376 loss: 1.274118 eta: 4:39:31 batch_cost: 2.8261 data_cost: 0.0017 ips: 28.3074 images/s [10/17 01:59:33] ppdet.engine INFO: Epoch: [283] [260/366] learning_rate: 0.002903 loss_vfl: 0.796614 loss_bbox: 0.279201 loss_dfl: 0.176795 loss: 1.267018 eta: 4:38:35 batch_cost: 2.8012 data_cost: 0.0017 ips: 28.5587 images/s [10/17 02:00:33] ppdet.engine INFO: Epoch: [283] [280/366] learning_rate: 0.002883 loss_vfl: 0.804328 loss_bbox: 0.295802 loss_dfl: 0.186205 loss: 1.307207 eta: 4:37:39 batch_cost: 2.8338 data_cost: 0.0016 ips: 28.2303 images/s [10/17 02:01:33] ppdet.engine INFO: Epoch: [283] [300/366] learning_rate: 0.002864 loss_vfl: 0.792512 loss_bbox: 0.277828 loss_dfl: 0.182295 loss: 1.255731 eta: 4:36:43 batch_cost: 2.8622 data_cost: 0.0016 ips: 27.9504 images/s [10/17 02:02:33] ppdet.engine INFO: Epoch: [283] [320/366] learning_rate: 0.002845 loss_vfl: 0.809666 loss_bbox: 0.298147 loss_dfl: 0.189065 loss: 1.304855 eta: 4:35:47 batch_cost: 2.8513 data_cost: 0.0034 ips: 28.0573 images/s [10/17 02:03:32] ppdet.engine INFO: Epoch: [283] [340/366] learning_rate: 0.002826 loss_vfl: 0.802261 loss_bbox: 0.293495 loss_dfl: 0.188562 loss: 1.282270 eta: 4:34:51 batch_cost: 2.7822 data_cost: 0.0017 ips: 28.7542 images/s [10/17 02:04:26] ppdet.engine INFO: Epoch: [283] [360/366] learning_rate: 0.002807 loss_vfl: 0.796402 loss_bbox: 0.300034 loss_dfl: 0.194095 loss: 1.285274 eta: 4:33:55 batch_cost: 2.5445 data_cost: 0.0016 ips: 31.4407 images/s [10/17 02:05:06] ppdet.engine INFO: Epoch: [284] [ 0/366] learning_rate: 0.002801 loss_vfl: 0.796402 loss_bbox: 0.280312 loss_dfl: 0.181764 loss: 1.256511 eta: 4:33:39 batch_cost: 3.4585 data_cost: 0.5496 ips: 23.1317 images/s [10/17 02:06:06] ppdet.engine INFO: Epoch: [284] [ 20/366] learning_rate: 0.002782 loss_vfl: 0.824326 loss_bbox: 0.293372 loss_dfl: 0.192582 loss: 1.313266 eta: 4:32:43 batch_cost: 2.8226 data_cost: 0.0017 ips: 28.3423 images/s [10/17 02:07:06] ppdet.engine INFO: Epoch: [284] [ 40/366] learning_rate: 0.002763 loss_vfl: 0.823697 loss_bbox: 0.297014 loss_dfl: 0.188768 loss: 1.304653 eta: 4:31:47 batch_cost: 2.8709 data_cost: 0.0030 ips: 27.8657 images/s [10/17 02:08:05] ppdet.engine INFO: Epoch: [284] [ 60/366] learning_rate: 0.002744 loss_vfl: 0.806526 loss_bbox: 0.286277 loss_dfl: 0.185379 loss: 1.268457 eta: 4:30:51 batch_cost: 2.8090 data_cost: 0.0017 ips: 28.4801 images/s [10/17 02:09:04] ppdet.engine INFO: Epoch: [284] [ 80/366] learning_rate: 0.002725 loss_vfl: 0.799437 loss_bbox: 0.307754 loss_dfl: 0.193911 loss: 1.287550 eta: 4:29:55 batch_cost: 2.7855 data_cost: 0.0020 ips: 28.7197 images/s [10/17 02:10:05] ppdet.engine INFO: Epoch: [284] [100/366] learning_rate: 0.002706 loss_vfl: 0.819496 loss_bbox: 0.294584 loss_dfl: 0.187914 loss: 1.300197 eta: 4:28:59 batch_cost: 2.8850 data_cost: 0.0028 ips: 27.7297 images/s [10/17 02:11:06] ppdet.engine INFO: Epoch: [284] [120/366] learning_rate: 0.002687 loss_vfl: 0.798647 loss_bbox: 0.289560 loss_dfl: 0.188648 loss: 1.276046 eta: 4:28:03 batch_cost: 2.8778 data_cost: 0.0016 ips: 27.7994 images/s [10/17 02:12:05] ppdet.engine INFO: Epoch: [284] [140/366] learning_rate: 0.002669 loss_vfl: 0.791281 loss_bbox: 0.269992 loss_dfl: 0.180388 loss: 1.244843 eta: 4:27:07 batch_cost: 2.8145 data_cost: 0.0016 ips: 28.4243 images/s [10/17 02:13:05] ppdet.engine INFO: Epoch: [284] [160/366] learning_rate: 0.002650 loss_vfl: 0.798214 loss_bbox: 0.278545 loss_dfl: 0.180109 loss: 1.277609 eta: 4:26:11 batch_cost: 2.8544 data_cost: 0.0016 ips: 28.0274 images/s [10/17 02:14:05] ppdet.engine INFO: Epoch: [284] [180/366] learning_rate: 0.002632 loss_vfl: 0.798199 loss_bbox: 0.279473 loss_dfl: 0.183897 loss: 1.273224 eta: 4:25:15 batch_cost: 2.8104 data_cost: 0.0028 ips: 28.4661 images/s [10/17 02:15:05] ppdet.engine INFO: Epoch: [284] [200/366] learning_rate: 0.002613 loss_vfl: 0.790835 loss_bbox: 0.286026 loss_dfl: 0.186645 loss: 1.287750 eta: 4:24:19 batch_cost: 2.8837 data_cost: 0.0017 ips: 27.7418 images/s [10/17 02:16:04] ppdet.engine INFO: Epoch: [284] [220/366] learning_rate: 0.002595 loss_vfl: 0.808496 loss_bbox: 0.300151 loss_dfl: 0.191484 loss: 1.299482 eta: 4:23:23 batch_cost: 2.7772 data_cost: 0.0018 ips: 28.8056 images/s [10/17 02:17:03] ppdet.engine INFO: Epoch: [284] [240/366] learning_rate: 0.002576 loss_vfl: 0.796305 loss_bbox: 0.303217 loss_dfl: 0.193880 loss: 1.280214 eta: 4:22:27 batch_cost: 2.8267 data_cost: 0.0016 ips: 28.3016 images/s [10/17 02:18:03] ppdet.engine INFO: Epoch: [284] [260/366] learning_rate: 0.002558 loss_vfl: 0.799443 loss_bbox: 0.294848 loss_dfl: 0.190485 loss: 1.285296 eta: 4:21:30 batch_cost: 2.8238 data_cost: 0.0016 ips: 28.3304 images/s [10/17 02:19:03] ppdet.engine INFO: Epoch: [284] [280/366] learning_rate: 0.002540 loss_vfl: 0.811540 loss_bbox: 0.270956 loss_dfl: 0.181213 loss: 1.256411 eta: 4:20:34 batch_cost: 2.8667 data_cost: 0.0016 ips: 27.9065 images/s [10/17 02:20:02] ppdet.engine INFO: Epoch: [284] [300/366] learning_rate: 0.002522 loss_vfl: 0.813434 loss_bbox: 0.284568 loss_dfl: 0.176346 loss: 1.269044 eta: 4:19:38 batch_cost: 2.7698 data_cost: 0.0024 ips: 28.8824 images/s [10/17 02:21:02] ppdet.engine INFO: Epoch: [284] [320/366] learning_rate: 0.002504 loss_vfl: 0.792555 loss_bbox: 0.277690 loss_dfl: 0.188934 loss: 1.255697 eta: 4:18:42 batch_cost: 2.8324 data_cost: 0.0017 ips: 28.2444 images/s [10/17 02:22:01] ppdet.engine INFO: Epoch: [284] [340/366] learning_rate: 0.002486 loss_vfl: 0.797549 loss_bbox: 0.274489 loss_dfl: 0.184545 loss: 1.260068 eta: 4:17:46 batch_cost: 2.8386 data_cost: 0.0023 ips: 28.1829 images/s [10/17 02:22:57] ppdet.engine INFO: Epoch: [284] [360/366] learning_rate: 0.002468 loss_vfl: 0.797478 loss_bbox: 0.299840 loss_dfl: 0.190995 loss: 1.294439 eta: 4:16:50 batch_cost: 2.6465 data_cost: 0.0016 ips: 30.2292 images/s [10/17 02:23:41] ppdet.engine INFO: Epoch: [285] [ 0/366] learning_rate: 0.002462 loss_vfl: 0.803700 loss_bbox: 0.289039 loss_dfl: 0.190995 loss: 1.293180 eta: 4:16:34 batch_cost: 3.7056 data_cost: 0.8271 ips: 21.5892 images/s [10/17 02:24:43] ppdet.engine INFO: Epoch: [285] [ 20/366] learning_rate: 0.002444 loss_vfl: 0.785206 loss_bbox: 0.289069 loss_dfl: 0.181302 loss: 1.250891 eta: 4:15:38 batch_cost: 2.9812 data_cost: 0.0020 ips: 26.8345 images/s [10/17 02:25:44] ppdet.engine INFO: Epoch: [285] [ 40/366] learning_rate: 0.002427 loss_vfl: 0.802319 loss_bbox: 0.283219 loss_dfl: 0.186765 loss: 1.266407 eta: 4:14:42 batch_cost: 2.8783 data_cost: 0.0028 ips: 27.7940 images/s [10/17 02:26:42] ppdet.engine INFO: Epoch: [285] [ 60/366] learning_rate: 0.002409 loss_vfl: 0.798551 loss_bbox: 0.284243 loss_dfl: 0.180810 loss: 1.276848 eta: 4:13:46 batch_cost: 2.7727 data_cost: 0.0016 ips: 28.8532 images/s [10/17 02:27:41] ppdet.engine INFO: Epoch: [285] [ 80/366] learning_rate: 0.002391 loss_vfl: 0.803646 loss_bbox: 0.283465 loss_dfl: 0.187962 loss: 1.281766 eta: 4:12:50 batch_cost: 2.7734 data_cost: 0.0017 ips: 28.8451 images/s [10/17 02:28:40] ppdet.engine INFO: Epoch: [285] [100/366] learning_rate: 0.002374 loss_vfl: 0.810357 loss_bbox: 0.293184 loss_dfl: 0.186089 loss: 1.273705 eta: 4:11:54 batch_cost: 2.8228 data_cost: 0.0017 ips: 28.3402 images/s [10/17 02:29:38] ppdet.engine INFO: Epoch: [285] [120/366] learning_rate: 0.002356 loss_vfl: 0.800824 loss_bbox: 0.292340 loss_dfl: 0.186407 loss: 1.281165 eta: 4:10:58 batch_cost: 2.7239 data_cost: 0.0016 ips: 29.3701 images/s [10/17 02:30:35] ppdet.engine INFO: Epoch: [285] [140/366] learning_rate: 0.002339 loss_vfl: 0.796860 loss_bbox: 0.291499 loss_dfl: 0.187740 loss: 1.274787 eta: 4:10:02 batch_cost: 2.7162 data_cost: 0.0018 ips: 29.4527 images/s [10/17 02:31:34] ppdet.engine INFO: Epoch: [285] [160/366] learning_rate: 0.002321 loss_vfl: 0.800736 loss_bbox: 0.293862 loss_dfl: 0.185940 loss: 1.295366 eta: 4:09:06 batch_cost: 2.7727 data_cost: 0.0023 ips: 28.8531 images/s [10/17 02:32:32] ppdet.engine INFO: Epoch: [285] [180/366] learning_rate: 0.002304 loss_vfl: 0.803872 loss_bbox: 0.277021 loss_dfl: 0.182993 loss: 1.276611 eta: 4:08:10 batch_cost: 2.7909 data_cost: 0.0016 ips: 28.6651 images/s [10/17 02:33:30] ppdet.engine INFO: Epoch: [285] [200/366] learning_rate: 0.002287 loss_vfl: 0.813272 loss_bbox: 0.282973 loss_dfl: 0.193231 loss: 1.302240 eta: 4:07:13 batch_cost: 2.7275 data_cost: 0.0039 ips: 29.3312 images/s [10/17 02:34:29] ppdet.engine INFO: Epoch: [285] [220/366] learning_rate: 0.002269 loss_vfl: 0.798690 loss_bbox: 0.281023 loss_dfl: 0.178292 loss: 1.271897 eta: 4:06:17 batch_cost: 2.8178 data_cost: 0.0023 ips: 28.3910 images/s [10/17 02:35:27] ppdet.engine INFO: Epoch: [285] [240/366] learning_rate: 0.002252 loss_vfl: 0.814771 loss_bbox: 0.287755 loss_dfl: 0.185242 loss: 1.288356 eta: 4:05:21 batch_cost: 2.7325 data_cost: 0.0018 ips: 29.2772 images/s [10/17 02:36:26] ppdet.engine INFO: Epoch: [285] [260/366] learning_rate: 0.002235 loss_vfl: 0.793042 loss_bbox: 0.284580 loss_dfl: 0.187665 loss: 1.263335 eta: 4:04:25 batch_cost: 2.8158 data_cost: 0.0016 ips: 28.4115 images/s [10/17 02:37:25] ppdet.engine INFO: Epoch: [285] [280/366] learning_rate: 0.002218 loss_vfl: 0.799744 loss_bbox: 0.288439 loss_dfl: 0.189365 loss: 1.279516 eta: 4:03:29 batch_cost: 2.8118 data_cost: 0.0026 ips: 28.4518 images/s [10/17 02:38:24] ppdet.engine INFO: Epoch: [285] [300/366] learning_rate: 0.002201 loss_vfl: 0.788536 loss_bbox: 0.306728 loss_dfl: 0.194360 loss: 1.296449 eta: 4:02:33 batch_cost: 2.8104 data_cost: 0.0035 ips: 28.4661 images/s [10/17 02:39:23] ppdet.engine INFO: Epoch: [285] [320/366] learning_rate: 0.002184 loss_vfl: 0.801145 loss_bbox: 0.269196 loss_dfl: 0.177639 loss: 1.270970 eta: 4:01:37 batch_cost: 2.7728 data_cost: 0.0017 ips: 28.8522 images/s [10/17 02:40:22] ppdet.engine INFO: Epoch: [285] [340/366] learning_rate: 0.002167 loss_vfl: 0.800005 loss_bbox: 0.290383 loss_dfl: 0.184192 loss: 1.275148 eta: 4:00:41 batch_cost: 2.7981 data_cost: 0.0016 ips: 28.5912 images/s [10/17 02:41:17] ppdet.engine INFO: Epoch: [285] [360/366] learning_rate: 0.002151 loss_vfl: 0.803583 loss_bbox: 0.293413 loss_dfl: 0.195546 loss: 1.301084 eta: 3:59:45 batch_cost: 2.6032 data_cost: 0.0016 ips: 30.7311 images/s [10/17 02:41:55] ppdet.engine INFO: Epoch: [286] [ 0/366] learning_rate: 0.002146 loss_vfl: 0.798483 loss_bbox: 0.287745 loss_dfl: 0.188426 loss: 1.292439 eta: 3:59:28 batch_cost: 3.4210 data_cost: 0.2464 ips: 23.3851 images/s [10/17 02:42:57] ppdet.engine INFO: Epoch: [286] [ 20/366] learning_rate: 0.002129 loss_vfl: 0.809929 loss_bbox: 0.280753 loss_dfl: 0.178365 loss: 1.270968 eta: 3:58:33 batch_cost: 2.9142 data_cost: 0.0021 ips: 27.4516 images/s [10/17 02:43:58] ppdet.engine INFO: Epoch: [286] [ 40/366] learning_rate: 0.002112 loss_vfl: 0.803469 loss_bbox: 0.302592 loss_dfl: 0.193135 loss: 1.292916 eta: 3:57:36 batch_cost: 2.8588 data_cost: 0.0025 ips: 27.9840 images/s [10/17 02:44:58] ppdet.engine INFO: Epoch: [286] [ 60/366] learning_rate: 0.002096 loss_vfl: 0.795046 loss_bbox: 0.296506 loss_dfl: 0.187304 loss: 1.296119 eta: 3:56:40 batch_cost: 2.8576 data_cost: 0.0022 ips: 27.9958 images/s [10/17 02:45:58] ppdet.engine INFO: Epoch: [286] [ 80/366] learning_rate: 0.002079 loss_vfl: 0.802620 loss_bbox: 0.281041 loss_dfl: 0.185856 loss: 1.271127 eta: 3:55:44 batch_cost: 2.8327 data_cost: 0.0021 ips: 28.2417 images/s [10/17 02:46:58] ppdet.engine INFO: Epoch: [286] [100/366] learning_rate: 0.002063 loss_vfl: 0.807874 loss_bbox: 0.295970 loss_dfl: 0.188731 loss: 1.283259 eta: 3:54:48 batch_cost: 2.8837 data_cost: 0.0024 ips: 27.7421 images/s [10/17 02:47:58] ppdet.engine INFO: Epoch: [286] [120/366] learning_rate: 0.002046 loss_vfl: 0.810971 loss_bbox: 0.282010 loss_dfl: 0.180550 loss: 1.279487 eta: 3:53:52 batch_cost: 2.8445 data_cost: 0.0017 ips: 28.1246 images/s [10/17 02:48:57] ppdet.engine INFO: Epoch: [286] [140/366] learning_rate: 0.002030 loss_vfl: 0.812602 loss_bbox: 0.290652 loss_dfl: 0.183451 loss: 1.294991 eta: 3:52:56 batch_cost: 2.8131 data_cost: 0.0016 ips: 28.4380 images/s [10/17 02:49:56] ppdet.engine INFO: Epoch: [286] [160/366] learning_rate: 0.002014 loss_vfl: 0.807778 loss_bbox: 0.291462 loss_dfl: 0.191891 loss: 1.274203 eta: 3:52:00 batch_cost: 2.7892 data_cost: 0.0017 ips: 28.6823 images/s [10/17 02:50:54] ppdet.engine INFO: Epoch: [286] [180/366] learning_rate: 0.001998 loss_vfl: 0.805509 loss_bbox: 0.277107 loss_dfl: 0.190393 loss: 1.263752 eta: 3:51:04 batch_cost: 2.7425 data_cost: 0.0017 ips: 29.1704 images/s [10/17 02:51:53] ppdet.engine INFO: Epoch: [286] [200/366] learning_rate: 0.001982 loss_vfl: 0.807286 loss_bbox: 0.286845 loss_dfl: 0.180547 loss: 1.267165 eta: 3:50:08 batch_cost: 2.7924 data_cost: 0.0017 ips: 28.6490 images/s [10/17 02:52:51] ppdet.engine INFO: Epoch: [286] [220/366] learning_rate: 0.001966 loss_vfl: 0.792011 loss_bbox: 0.277982 loss_dfl: 0.186363 loss: 1.248738 eta: 3:49:12 batch_cost: 2.7474 data_cost: 0.0017 ips: 29.1181 images/s [10/17 02:53:49] ppdet.engine INFO: Epoch: [286] [240/366] learning_rate: 0.001950 loss_vfl: 0.802263 loss_bbox: 0.267860 loss_dfl: 0.184428 loss: 1.266280 eta: 3:48:16 batch_cost: 2.7471 data_cost: 0.0016 ips: 29.1221 images/s [10/17 02:54:47] ppdet.engine INFO: Epoch: [286] [260/366] learning_rate: 0.001934 loss_vfl: 0.792669 loss_bbox: 0.287726 loss_dfl: 0.185531 loss: 1.262544 eta: 3:47:20 batch_cost: 2.7822 data_cost: 0.0024 ips: 28.7541 images/s [10/17 02:55:46] ppdet.engine INFO: Epoch: [286] [280/366] learning_rate: 0.001918 loss_vfl: 0.802140 loss_bbox: 0.293987 loss_dfl: 0.187916 loss: 1.289612 eta: 3:46:23 batch_cost: 2.7991 data_cost: 0.0016 ips: 28.5808 images/s [10/17 02:56:44] ppdet.engine INFO: Epoch: [286] [300/366] learning_rate: 0.001902 loss_vfl: 0.794906 loss_bbox: 0.279675 loss_dfl: 0.189922 loss: 1.276990 eta: 3:45:27 batch_cost: 2.7676 data_cost: 0.0016 ips: 28.9059 images/s [10/17 02:57:43] ppdet.engine INFO: Epoch: [286] [320/366] learning_rate: 0.001886 loss_vfl: 0.800836 loss_bbox: 0.277946 loss_dfl: 0.181900 loss: 1.257909 eta: 3:44:31 batch_cost: 2.8007 data_cost: 0.0016 ips: 28.5642 images/s [10/17 02:58:43] ppdet.engine INFO: Epoch: [286] [340/366] learning_rate: 0.001871 loss_vfl: 0.804173 loss_bbox: 0.286555 loss_dfl: 0.182095 loss: 1.263197 eta: 3:43:35 batch_cost: 2.8340 data_cost: 0.0016 ips: 28.2286 images/s [10/17 02:59:38] ppdet.engine INFO: Epoch: [286] [360/366] learning_rate: 0.001855 loss_vfl: 0.806981 loss_bbox: 0.288967 loss_dfl: 0.187746 loss: 1.279494 eta: 3:42:39 batch_cost: 2.6089 data_cost: 0.0016 ips: 30.6648 images/s [10/17 03:00:17] ppdet.engine INFO: Epoch: [287] [ 0/366] learning_rate: 0.001850 loss_vfl: 0.813761 loss_bbox: 0.286219 loss_dfl: 0.184897 loss: 1.279494 eta: 3:42:23 batch_cost: 3.4450 data_cost: 0.4427 ips: 23.2221 images/s [10/17 03:01:16] ppdet.engine INFO: Epoch: [287] [ 20/366] learning_rate: 0.001835 loss_vfl: 0.811574 loss_bbox: 0.281250 loss_dfl: 0.181278 loss: 1.285101 eta: 3:41:27 batch_cost: 2.8006 data_cost: 0.0018 ips: 28.5650 images/s [10/17 03:02:15] ppdet.engine INFO: Epoch: [287] [ 40/366] learning_rate: 0.001819 loss_vfl: 0.804335 loss_bbox: 0.291760 loss_dfl: 0.185684 loss: 1.282383 eta: 3:40:31 batch_cost: 2.8032 data_cost: 0.0023 ips: 28.5387 images/s [10/17 03:03:14] ppdet.engine INFO: Epoch: [287] [ 60/366] learning_rate: 0.001804 loss_vfl: 0.806408 loss_bbox: 0.285250 loss_dfl: 0.183304 loss: 1.274079 eta: 3:39:35 batch_cost: 2.7750 data_cost: 0.0016 ips: 28.8285 images/s [10/17 03:04:13] ppdet.engine INFO: Epoch: [287] [ 80/366] learning_rate: 0.001789 loss_vfl: 0.816302 loss_bbox: 0.275068 loss_dfl: 0.182507 loss: 1.276103 eta: 3:38:38 batch_cost: 2.8154 data_cost: 0.0017 ips: 28.4152 images/s [10/17 03:05:13] ppdet.engine INFO: Epoch: [287] [100/366] learning_rate: 0.001774 loss_vfl: 0.787190 loss_bbox: 0.305356 loss_dfl: 0.185692 loss: 1.276310 eta: 3:37:42 batch_cost: 2.8368 data_cost: 0.0016 ips: 28.2004 images/s [10/17 03:06:12] ppdet.engine INFO: Epoch: [287] [120/366] learning_rate: 0.001758 loss_vfl: 0.809174 loss_bbox: 0.276276 loss_dfl: 0.185872 loss: 1.277889 eta: 3:36:46 batch_cost: 2.8278 data_cost: 0.0017 ips: 28.2904 images/s [10/17 03:07:11] ppdet.engine INFO: Epoch: [287] [140/366] learning_rate: 0.001743 loss_vfl: 0.797278 loss_bbox: 0.271180 loss_dfl: 0.183343 loss: 1.257525 eta: 3:35:50 batch_cost: 2.7693 data_cost: 0.0016 ips: 28.8879 images/s [10/17 03:08:09] ppdet.engine INFO: Epoch: [287] [160/366] learning_rate: 0.001728 loss_vfl: 0.803575 loss_bbox: 0.300427 loss_dfl: 0.192515 loss: 1.293826 eta: 3:34:54 batch_cost: 2.7794 data_cost: 0.0017 ips: 28.7832 images/s [10/17 03:09:08] ppdet.engine INFO: Epoch: [287] [180/366] learning_rate: 0.001713 loss_vfl: 0.796519 loss_bbox: 0.307900 loss_dfl: 0.197576 loss: 1.291914 eta: 3:33:58 batch_cost: 2.7739 data_cost: 0.0017 ips: 28.8402 images/s [10/17 03:10:08] ppdet.engine INFO: Epoch: [287] [200/366] learning_rate: 0.001698 loss_vfl: 0.789611 loss_bbox: 0.281760 loss_dfl: 0.181365 loss: 1.264580 eta: 3:33:02 batch_cost: 2.8355 data_cost: 0.0017 ips: 28.2135 images/s [10/17 03:11:06] ppdet.engine INFO: Epoch: [287] [220/366] learning_rate: 0.001684 loss_vfl: 0.805498 loss_bbox: 0.289571 loss_dfl: 0.187076 loss: 1.275226 eta: 3:32:06 batch_cost: 2.7436 data_cost: 0.0017 ips: 29.1588 images/s [10/17 03:12:04] ppdet.engine INFO: Epoch: [287] [240/366] learning_rate: 0.001669 loss_vfl: 0.789494 loss_bbox: 0.285994 loss_dfl: 0.181036 loss: 1.269189 eta: 3:31:10 batch_cost: 2.7495 data_cost: 0.0017 ips: 29.0965 images/s [10/17 03:13:02] ppdet.engine INFO: Epoch: [287] [260/366] learning_rate: 0.001654 loss_vfl: 0.792762 loss_bbox: 0.288267 loss_dfl: 0.181263 loss: 1.258650 eta: 3:30:14 batch_cost: 2.7439 data_cost: 0.0026 ips: 29.1557 images/s [10/17 03:14:00] ppdet.engine INFO: Epoch: [287] [280/366] learning_rate: 0.001639 loss_vfl: 0.783354 loss_bbox: 0.271817 loss_dfl: 0.179142 loss: 1.236508 eta: 3:29:17 batch_cost: 2.7544 data_cost: 0.0017 ips: 29.0443 images/s [10/17 03:14:59] ppdet.engine INFO: Epoch: [287] [300/366] learning_rate: 0.001625 loss_vfl: 0.804697 loss_bbox: 0.280225 loss_dfl: 0.184402 loss: 1.265966 eta: 3:28:21 batch_cost: 2.8007 data_cost: 0.0016 ips: 28.5643 images/s [10/17 03:15:57] ppdet.engine INFO: Epoch: [287] [320/366] learning_rate: 0.001610 loss_vfl: 0.801368 loss_bbox: 0.282106 loss_dfl: 0.185517 loss: 1.271271 eta: 3:27:25 batch_cost: 2.7745 data_cost: 0.0017 ips: 28.8335 images/s [10/17 03:16:56] ppdet.engine INFO: Epoch: [287] [340/366] learning_rate: 0.001596 loss_vfl: 0.782910 loss_bbox: 0.276886 loss_dfl: 0.179326 loss: 1.249816 eta: 3:26:29 batch_cost: 2.8001 data_cost: 0.0017 ips: 28.5703 images/s [10/17 03:17:49] ppdet.engine INFO: Epoch: [287] [360/366] learning_rate: 0.001581 loss_vfl: 0.785972 loss_bbox: 0.293378 loss_dfl: 0.188701 loss: 1.281940 eta: 3:25:33 batch_cost: 2.5106 data_cost: 0.0016 ips: 31.8654 images/s [10/17 03:18:29] ppdet.engine INFO: Epoch: [288] [ 0/366] learning_rate: 0.001577 loss_vfl: 0.799142 loss_bbox: 0.286132 loss_dfl: 0.187199 loss: 1.277771 eta: 3:25:17 batch_cost: 3.4569 data_cost: 0.6158 ips: 23.1422 images/s [10/17 03:19:31] ppdet.engine INFO: Epoch: [288] [ 20/366] learning_rate: 0.001563 loss_vfl: 0.797589 loss_bbox: 0.291433 loss_dfl: 0.193499 loss: 1.291565 eta: 3:24:21 batch_cost: 2.9076 data_cost: 0.0025 ips: 27.5143 images/s [10/17 03:20:31] ppdet.engine INFO: Epoch: [288] [ 40/366] learning_rate: 0.001549 loss_vfl: 0.801080 loss_bbox: 0.297802 loss_dfl: 0.189937 loss: 1.300577 eta: 3:23:25 batch_cost: 2.8189 data_cost: 0.0020 ips: 28.3796 images/s [10/17 03:21:29] ppdet.engine INFO: Epoch: [288] [ 60/366] learning_rate: 0.001534 loss_vfl: 0.796079 loss_bbox: 0.288529 loss_dfl: 0.190266 loss: 1.281411 eta: 3:22:29 batch_cost: 2.7695 data_cost: 0.0018 ips: 28.8859 images/s [10/17 03:22:28] ppdet.engine INFO: Epoch: [288] [ 80/366] learning_rate: 0.001520 loss_vfl: 0.798601 loss_bbox: 0.307938 loss_dfl: 0.192720 loss: 1.303148 eta: 3:21:32 batch_cost: 2.8070 data_cost: 0.0016 ips: 28.4997 images/s [10/17 03:23:28] ppdet.engine INFO: Epoch: [288] [100/366] learning_rate: 0.001506 loss_vfl: 0.802746 loss_bbox: 0.289030 loss_dfl: 0.186910 loss: 1.270830 eta: 3:20:36 batch_cost: 2.8509 data_cost: 0.0017 ips: 28.0613 images/s [10/17 03:24:28] ppdet.engine INFO: Epoch: [288] [120/366] learning_rate: 0.001492 loss_vfl: 0.788921 loss_bbox: 0.283601 loss_dfl: 0.180976 loss: 1.264945 eta: 3:19:40 batch_cost: 2.8485 data_cost: 0.0017 ips: 28.0845 images/s [10/17 03:25:27] ppdet.engine INFO: Epoch: [288] [140/366] learning_rate: 0.001478 loss_vfl: 0.804814 loss_bbox: 0.286802 loss_dfl: 0.185877 loss: 1.285637 eta: 3:18:44 batch_cost: 2.7883 data_cost: 0.0023 ips: 28.6909 images/s [10/17 03:26:26] ppdet.engine INFO: Epoch: [288] [160/366] learning_rate: 0.001464 loss_vfl: 0.806000 loss_bbox: 0.281176 loss_dfl: 0.184718 loss: 1.275181 eta: 3:17:48 batch_cost: 2.7845 data_cost: 0.0017 ips: 28.7307 images/s [10/17 03:27:23] ppdet.engine INFO: Epoch: [288] [180/366] learning_rate: 0.001451 loss_vfl: 0.807969 loss_bbox: 0.278392 loss_dfl: 0.183594 loss: 1.273741 eta: 3:16:52 batch_cost: 2.7241 data_cost: 0.0022 ips: 29.3678 images/s [10/17 03:28:22] ppdet.engine INFO: Epoch: [288] [200/366] learning_rate: 0.001437 loss_vfl: 0.809797 loss_bbox: 0.275911 loss_dfl: 0.185634 loss: 1.275940 eta: 3:15:56 batch_cost: 2.8051 data_cost: 0.0017 ips: 28.5197 images/s [10/17 03:29:22] ppdet.engine INFO: Epoch: [288] [220/366] learning_rate: 0.001423 loss_vfl: 0.797666 loss_bbox: 0.296685 loss_dfl: 0.187164 loss: 1.282221 eta: 3:15:00 batch_cost: 2.8412 data_cost: 0.0017 ips: 28.1573 images/s [10/17 03:30:21] ppdet.engine INFO: Epoch: [288] [240/366] learning_rate: 0.001410 loss_vfl: 0.800621 loss_bbox: 0.280577 loss_dfl: 0.182847 loss: 1.268306 eta: 3:14:04 batch_cost: 2.7829 data_cost: 0.0019 ips: 28.7474 images/s [10/17 03:31:19] ppdet.engine INFO: Epoch: [288] [260/366] learning_rate: 0.001396 loss_vfl: 0.796415 loss_bbox: 0.291515 loss_dfl: 0.185982 loss: 1.276389 eta: 3:13:08 batch_cost: 2.7582 data_cost: 0.0026 ips: 29.0049 images/s [10/17 03:32:18] ppdet.engine INFO: Epoch: [288] [280/366] learning_rate: 0.001383 loss_vfl: 0.781854 loss_bbox: 0.289459 loss_dfl: 0.183013 loss: 1.284965 eta: 3:12:11 batch_cost: 2.7724 data_cost: 0.0016 ips: 28.8555 images/s [10/17 03:33:17] ppdet.engine INFO: Epoch: [288] [300/366] learning_rate: 0.001369 loss_vfl: 0.807708 loss_bbox: 0.288105 loss_dfl: 0.187459 loss: 1.286471 eta: 3:11:15 batch_cost: 2.7994 data_cost: 0.0029 ips: 28.5780 images/s [10/17 03:34:16] ppdet.engine INFO: Epoch: [288] [320/366] learning_rate: 0.001356 loss_vfl: 0.808669 loss_bbox: 0.283654 loss_dfl: 0.181006 loss: 1.295251 eta: 3:10:19 batch_cost: 2.8511 data_cost: 0.0018 ips: 28.0591 images/s [10/17 03:35:16] ppdet.engine INFO: Epoch: [288] [340/366] learning_rate: 0.001343 loss_vfl: 0.788197 loss_bbox: 0.297396 loss_dfl: 0.191107 loss: 1.271569 eta: 3:09:23 batch_cost: 2.8473 data_cost: 0.0017 ips: 28.0971 images/s [10/17 03:36:11] ppdet.engine INFO: Epoch: [288] [360/366] learning_rate: 0.001329 loss_vfl: 0.796909 loss_bbox: 0.292289 loss_dfl: 0.182429 loss: 1.263906 eta: 3:08:27 batch_cost: 2.5861 data_cost: 0.0016 ips: 30.9348 images/s [10/17 03:36:48] ppdet.engine INFO: Epoch: [289] [ 0/366] learning_rate: 0.001325 loss_vfl: 0.781504 loss_bbox: 0.292308 loss_dfl: 0.181096 loss: 1.253528 eta: 3:08:11 batch_cost: 3.3312 data_cost: 0.3655 ips: 24.0155 images/s [10/17 03:37:52] ppdet.engine INFO: Epoch: [289] [ 20/366] learning_rate: 0.001312 loss_vfl: 0.805355 loss_bbox: 0.275003 loss_dfl: 0.185131 loss: 1.253520 eta: 3:07:15 batch_cost: 3.0459 data_cost: 0.0026 ips: 26.2644 images/s [10/17 03:38:53] ppdet.engine INFO: Epoch: [289] [ 40/366] learning_rate: 0.001299 loss_vfl: 0.798754 loss_bbox: 0.281483 loss_dfl: 0.187263 loss: 1.291989 eta: 3:06:19 batch_cost: 2.8806 data_cost: 0.0022 ips: 27.7722 images/s [10/17 03:39:53] ppdet.engine INFO: Epoch: [289] [ 60/366] learning_rate: 0.001286 loss_vfl: 0.796939 loss_bbox: 0.286682 loss_dfl: 0.185372 loss: 1.270092 eta: 3:05:23 batch_cost: 2.8668 data_cost: 0.0028 ips: 27.9055 images/s [10/17 03:40:54] ppdet.engine INFO: Epoch: [289] [ 80/366] learning_rate: 0.001273 loss_vfl: 0.809194 loss_bbox: 0.293234 loss_dfl: 0.190094 loss: 1.294029 eta: 3:04:27 batch_cost: 2.8516 data_cost: 0.0037 ips: 28.0549 images/s [10/17 03:41:53] ppdet.engine INFO: Epoch: [289] [100/366] learning_rate: 0.001260 loss_vfl: 0.808541 loss_bbox: 0.281705 loss_dfl: 0.180399 loss: 1.264093 eta: 3:03:31 batch_cost: 2.8031 data_cost: 0.0026 ips: 28.5395 images/s [10/17 03:42:53] ppdet.engine INFO: Epoch: [289] [120/366] learning_rate: 0.001248 loss_vfl: 0.795763 loss_bbox: 0.276218 loss_dfl: 0.183821 loss: 1.251065 eta: 3:02:35 batch_cost: 2.8586 data_cost: 0.0019 ips: 27.9856 images/s [10/17 03:43:52] ppdet.engine INFO: Epoch: [289] [140/366] learning_rate: 0.001235 loss_vfl: 0.809092 loss_bbox: 0.289671 loss_dfl: 0.186420 loss: 1.276626 eta: 3:01:39 batch_cost: 2.8290 data_cost: 0.0020 ips: 28.2784 images/s [10/17 03:44:52] ppdet.engine INFO: Epoch: [289] [160/366] learning_rate: 0.001222 loss_vfl: 0.789252 loss_bbox: 0.264413 loss_dfl: 0.175241 loss: 1.241572 eta: 3:00:42 batch_cost: 2.8264 data_cost: 0.0021 ips: 28.3046 images/s [10/17 03:45:51] ppdet.engine INFO: Epoch: [289] [180/366] learning_rate: 0.001210 loss_vfl: 0.810639 loss_bbox: 0.298614 loss_dfl: 0.192387 loss: 1.298016 eta: 2:59:46 batch_cost: 2.8101 data_cost: 0.0017 ips: 28.4687 images/s [10/17 03:46:51] ppdet.engine INFO: Epoch: [289] [200/366] learning_rate: 0.001197 loss_vfl: 0.805905 loss_bbox: 0.310312 loss_dfl: 0.197812 loss: 1.301043 eta: 2:58:50 batch_cost: 2.8419 data_cost: 0.0018 ips: 28.1506 images/s [10/17 03:47:50] ppdet.engine INFO: Epoch: [289] [220/366] learning_rate: 0.001185 loss_vfl: 0.799530 loss_bbox: 0.300234 loss_dfl: 0.189571 loss: 1.286885 eta: 2:57:54 batch_cost: 2.8186 data_cost: 0.0029 ips: 28.3829 images/s [10/17 03:48:50] ppdet.engine INFO: Epoch: [289] [240/366] learning_rate: 0.001172 loss_vfl: 0.794137 loss_bbox: 0.305671 loss_dfl: 0.188753 loss: 1.291236 eta: 2:56:58 batch_cost: 2.8249 data_cost: 0.0029 ips: 28.3195 images/s [10/17 03:49:50] ppdet.engine INFO: Epoch: [289] [260/366] learning_rate: 0.001160 loss_vfl: 0.805654 loss_bbox: 0.282522 loss_dfl: 0.183197 loss: 1.278727 eta: 2:56:02 batch_cost: 2.8513 data_cost: 0.0037 ips: 28.0575 images/s [10/17 03:50:49] ppdet.engine INFO: Epoch: [289] [280/366] learning_rate: 0.001148 loss_vfl: 0.802544 loss_bbox: 0.265298 loss_dfl: 0.176957 loss: 1.252977 eta: 2:55:06 batch_cost: 2.8404 data_cost: 0.0017 ips: 28.1655 images/s [10/17 03:51:49] ppdet.engine INFO: Epoch: [289] [300/366] learning_rate: 0.001135 loss_vfl: 0.811097 loss_bbox: 0.301855 loss_dfl: 0.189853 loss: 1.308534 eta: 2:54:10 batch_cost: 2.8374 data_cost: 0.0055 ips: 28.1952 images/s [10/17 03:52:48] ppdet.engine INFO: Epoch: [289] [320/366] learning_rate: 0.001123 loss_vfl: 0.793112 loss_bbox: 0.267745 loss_dfl: 0.182342 loss: 1.248665 eta: 2:53:14 batch_cost: 2.7848 data_cost: 0.0024 ips: 28.7275 images/s [10/17 03:53:47] ppdet.engine INFO: Epoch: [289] [340/366] learning_rate: 0.001111 loss_vfl: 0.800542 loss_bbox: 0.282259 loss_dfl: 0.178479 loss: 1.257107 eta: 2:52:18 batch_cost: 2.8308 data_cost: 0.0019 ips: 28.2609 images/s [10/17 03:54:40] ppdet.engine INFO: Epoch: [289] [360/366] learning_rate: 0.001099 loss_vfl: 0.799051 loss_bbox: 0.284791 loss_dfl: 0.183659 loss: 1.257895 eta: 2:51:21 batch_cost: 2.4969 data_cost: 0.0017 ips: 32.0400 images/s [10/17 03:54:57] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/17 03:54:57] ppdet.engine INFO: Eval iter: 0 [10/17 03:55:37] ppdet.engine INFO: Eval iter: 100 [10/17 03:55:59] ppdet.engine INFO: Eval iter: 200 [10/17 03:56:21] ppdet.engine INFO: Eval iter: 300 [10/17 03:56:44] ppdet.engine INFO: Eval iter: 400 [10/17 03:57:06] ppdet.engine INFO: Eval iter: 500 [10/17 03:57:29] ppdet.engine INFO: Eval iter: 600 [10/17 03:57:50] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/17 03:57:51] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.76s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.63s). Accumulating evaluation results... DONE (t=17.50s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.454 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.321 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.500 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.274 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 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.196 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.709 [10/17 03:59:54] ppdet.engine INFO: Total sample number: 5000, averge FPS: 31.26633834769095 [10/17 03:59:54] ppdet.engine INFO: Best test bbox ap is 0.307. [10/17 03:59:57] ppdet.engine INFO: Epoch: [290] [ 0/366] learning_rate: 0.001096 loss_vfl: 0.804965 loss_bbox: 0.283502 loss_dfl: 0.183152 loss: 1.268654 eta: 2:51:05 batch_cost: 2.3983 data_cost: 0.0018 ips: 33.3568 images/s [10/17 04:00:58] ppdet.engine INFO: Epoch: [290] [ 20/366] learning_rate: 0.001084 loss_vfl: 0.803055 loss_bbox: 0.282073 loss_dfl: 0.185906 loss: 1.269236 eta: 2:50:08 batch_cost: 2.8962 data_cost: 0.0024 ips: 27.6219 images/s [10/17 04:01:58] ppdet.engine INFO: Epoch: [290] [ 40/366] learning_rate: 0.001072 loss_vfl: 0.806108 loss_bbox: 0.280933 loss_dfl: 0.186658 loss: 1.268933 eta: 2:49:12 batch_cost: 2.8542 data_cost: 0.0017 ips: 28.0291 images/s [10/17 04:02:58] ppdet.engine INFO: Epoch: [290] [ 60/366] learning_rate: 0.001060 loss_vfl: 0.799434 loss_bbox: 0.290947 loss_dfl: 0.186181 loss: 1.281695 eta: 2:48:16 batch_cost: 2.8279 data_cost: 0.0017 ips: 28.2894 images/s [10/17 04:03:58] ppdet.engine INFO: Epoch: [290] [ 80/366] learning_rate: 0.001048 loss_vfl: 0.800691 loss_bbox: 0.286415 loss_dfl: 0.191321 loss: 1.286798 eta: 2:47:20 batch_cost: 2.8653 data_cost: 0.0017 ips: 27.9199 images/s [10/17 04:04:56] ppdet.engine INFO: Epoch: [290] [100/366] learning_rate: 0.001037 loss_vfl: 0.804831 loss_bbox: 0.296299 loss_dfl: 0.185022 loss: 1.292134 eta: 2:46:24 batch_cost: 2.7774 data_cost: 0.0017 ips: 28.8043 images/s [10/17 04:05:54] ppdet.engine INFO: Epoch: [290] [120/366] learning_rate: 0.001025 loss_vfl: 0.796251 loss_bbox: 0.291863 loss_dfl: 0.191620 loss: 1.301450 eta: 2:45:28 batch_cost: 2.7537 data_cost: 0.0016 ips: 29.0522 images/s [10/17 04:06:54] ppdet.engine INFO: Epoch: [290] [140/366] learning_rate: 0.001013 loss_vfl: 0.806856 loss_bbox: 0.291128 loss_dfl: 0.189228 loss: 1.295027 eta: 2:44:32 batch_cost: 2.8043 data_cost: 0.0016 ips: 28.5278 images/s [10/17 04:07:53] ppdet.engine INFO: Epoch: [290] [160/366] learning_rate: 0.001002 loss_vfl: 0.802730 loss_bbox: 0.308986 loss_dfl: 0.191397 loss: 1.293216 eta: 2:43:36 batch_cost: 2.8156 data_cost: 0.0016 ips: 28.4134 images/s [10/17 04:08:53] ppdet.engine INFO: Epoch: [290] [180/366] learning_rate: 0.000991 loss_vfl: 0.806747 loss_bbox: 0.300746 loss_dfl: 0.193647 loss: 1.302130 eta: 2:42:40 batch_cost: 2.8499 data_cost: 0.0024 ips: 28.0711 images/s [10/17 04:09:54] ppdet.engine INFO: Epoch: [290] [200/366] learning_rate: 0.000979 loss_vfl: 0.815362 loss_bbox: 0.268275 loss_dfl: 0.178957 loss: 1.274404 eta: 2:41:44 batch_cost: 2.8867 data_cost: 0.0017 ips: 27.7133 images/s [10/17 04:10:53] ppdet.engine INFO: Epoch: [290] [220/366] learning_rate: 0.000968 loss_vfl: 0.786003 loss_bbox: 0.290579 loss_dfl: 0.184530 loss: 1.265009 eta: 2:40:48 batch_cost: 2.7421 data_cost: 0.0020 ips: 29.1747 images/s [10/17 04:11:54] ppdet.engine INFO: Epoch: [290] [240/366] learning_rate: 0.000957 loss_vfl: 0.804664 loss_bbox: 0.279359 loss_dfl: 0.178552 loss: 1.256083 eta: 2:39:52 batch_cost: 2.9220 data_cost: 0.0023 ips: 27.3784 images/s [10/17 04:12:52] ppdet.engine INFO: Epoch: [290] [260/366] learning_rate: 0.000946 loss_vfl: 0.799547 loss_bbox: 0.290631 loss_dfl: 0.186016 loss: 1.283210 eta: 2:38:55 batch_cost: 2.7525 data_cost: 0.0029 ips: 29.0648 images/s [10/17 04:13:51] ppdet.engine INFO: Epoch: [290] [280/366] learning_rate: 0.000935 loss_vfl: 0.805688 loss_bbox: 0.289182 loss_dfl: 0.179737 loss: 1.270357 eta: 2:37:59 batch_cost: 2.7840 data_cost: 0.0032 ips: 28.7361 images/s [10/17 04:14:47] ppdet.engine INFO: Epoch: [290] [300/366] learning_rate: 0.000924 loss_vfl: 0.797283 loss_bbox: 0.298611 loss_dfl: 0.192072 loss: 1.289105 eta: 2:37:03 batch_cost: 2.6705 data_cost: 0.0023 ips: 29.9571 images/s [10/17 04:15:45] ppdet.engine INFO: Epoch: [290] [320/366] learning_rate: 0.000913 loss_vfl: 0.800284 loss_bbox: 0.285498 loss_dfl: 0.186202 loss: 1.270651 eta: 2:36:07 batch_cost: 2.7374 data_cost: 0.0023 ips: 29.2253 images/s [10/17 04:16:44] ppdet.engine INFO: Epoch: [290] [340/366] learning_rate: 0.000902 loss_vfl: 0.809821 loss_bbox: 0.298990 loss_dfl: 0.188840 loss: 1.300402 eta: 2:35:11 batch_cost: 2.7943 data_cost: 0.0023 ips: 28.6293 images/s [10/17 04:17:38] ppdet.engine INFO: Epoch: [290] [360/366] learning_rate: 0.000891 loss_vfl: 0.801548 loss_bbox: 0.283638 loss_dfl: 0.185426 loss: 1.270258 eta: 2:34:15 batch_cost: 2.5721 data_cost: 0.0017 ips: 31.1029 images/s [10/17 04:18:16] ppdet.engine INFO: Epoch: [291] [ 0/366] learning_rate: 0.000888 loss_vfl: 0.803033 loss_bbox: 0.282534 loss_dfl: 0.188116 loss: 1.277464 eta: 2:33:58 batch_cost: 3.4679 data_cost: 0.5775 ips: 23.0685 images/s [10/17 04:19:18] ppdet.engine INFO: Epoch: [291] [ 20/366] learning_rate: 0.000877 loss_vfl: 0.794089 loss_bbox: 0.291950 loss_dfl: 0.187783 loss: 1.274499 eta: 2:33:02 batch_cost: 2.8863 data_cost: 0.0018 ips: 27.7169 images/s [10/17 04:20:17] ppdet.engine INFO: Epoch: [291] [ 40/366] learning_rate: 0.000866 loss_vfl: 0.811522 loss_bbox: 0.304315 loss_dfl: 0.189638 loss: 1.287499 eta: 2:32:06 batch_cost: 2.8211 data_cost: 0.0017 ips: 28.3579 images/s [10/17 04:21:16] ppdet.engine INFO: Epoch: [291] [ 60/366] learning_rate: 0.000856 loss_vfl: 0.801968 loss_bbox: 0.266284 loss_dfl: 0.177711 loss: 1.256188 eta: 2:31:10 batch_cost: 2.8255 data_cost: 0.0029 ips: 28.3140 images/s [10/17 04:22:15] ppdet.engine INFO: Epoch: [291] [ 80/366] learning_rate: 0.000845 loss_vfl: 0.799449 loss_bbox: 0.276213 loss_dfl: 0.178681 loss: 1.272564 eta: 2:30:14 batch_cost: 2.7963 data_cost: 0.0023 ips: 28.6088 images/s [10/17 04:23:14] ppdet.engine INFO: Epoch: [291] [100/366] learning_rate: 0.000835 loss_vfl: 0.799128 loss_bbox: 0.279788 loss_dfl: 0.180625 loss: 1.283148 eta: 2:29:18 batch_cost: 2.7867 data_cost: 0.0016 ips: 28.7078 images/s [10/17 04:24:11] ppdet.engine INFO: Epoch: [291] [120/366] learning_rate: 0.000824 loss_vfl: 0.805567 loss_bbox: 0.304256 loss_dfl: 0.193558 loss: 1.301893 eta: 2:28:22 batch_cost: 2.7073 data_cost: 0.0018 ips: 29.5494 images/s [10/17 04:25:09] ppdet.engine INFO: Epoch: [291] [140/366] learning_rate: 0.000814 loss_vfl: 0.799751 loss_bbox: 0.287245 loss_dfl: 0.180687 loss: 1.263533 eta: 2:27:26 batch_cost: 2.7591 data_cost: 0.0017 ips: 28.9949 images/s [10/17 04:26:08] ppdet.engine INFO: Epoch: [291] [160/366] learning_rate: 0.000804 loss_vfl: 0.785618 loss_bbox: 0.279414 loss_dfl: 0.180954 loss: 1.250744 eta: 2:26:30 batch_cost: 2.7623 data_cost: 0.0016 ips: 28.9613 images/s [10/17 04:27:06] ppdet.engine INFO: Epoch: [291] [180/366] learning_rate: 0.000793 loss_vfl: 0.797083 loss_bbox: 0.284235 loss_dfl: 0.185082 loss: 1.258796 eta: 2:25:33 batch_cost: 2.7655 data_cost: 0.0016 ips: 28.9279 images/s [10/17 04:28:04] ppdet.engine INFO: Epoch: [291] [200/366] learning_rate: 0.000783 loss_vfl: 0.817389 loss_bbox: 0.274822 loss_dfl: 0.182572 loss: 1.263207 eta: 2:24:37 batch_cost: 2.7550 data_cost: 0.0035 ips: 29.0385 images/s [10/17 04:29:02] ppdet.engine INFO: Epoch: [291] [220/366] learning_rate: 0.000773 loss_vfl: 0.799829 loss_bbox: 0.303556 loss_dfl: 0.194470 loss: 1.299823 eta: 2:23:41 batch_cost: 2.7654 data_cost: 0.0027 ips: 28.9294 images/s [10/17 04:30:01] ppdet.engine INFO: Epoch: [291] [240/366] learning_rate: 0.000763 loss_vfl: 0.788138 loss_bbox: 0.281852 loss_dfl: 0.187399 loss: 1.256049 eta: 2:22:45 batch_cost: 2.7978 data_cost: 0.0016 ips: 28.5937 images/s [10/17 04:31:00] ppdet.engine INFO: Epoch: [291] [260/366] learning_rate: 0.000753 loss_vfl: 0.814202 loss_bbox: 0.290807 loss_dfl: 0.181554 loss: 1.271090 eta: 2:21:49 batch_cost: 2.7959 data_cost: 0.0016 ips: 28.6137 images/s [10/17 04:31:58] ppdet.engine INFO: Epoch: [291] [280/366] learning_rate: 0.000743 loss_vfl: 0.798127 loss_bbox: 0.287798 loss_dfl: 0.183129 loss: 1.275743 eta: 2:20:53 batch_cost: 2.7623 data_cost: 0.0016 ips: 28.9611 images/s [10/17 04:32:57] ppdet.engine INFO: Epoch: [291] [300/366] learning_rate: 0.000733 loss_vfl: 0.798448 loss_bbox: 0.280113 loss_dfl: 0.184750 loss: 1.273936 eta: 2:19:57 batch_cost: 2.7965 data_cost: 0.0016 ips: 28.6072 images/s [10/17 04:33:56] ppdet.engine INFO: Epoch: [291] [320/366] learning_rate: 0.000724 loss_vfl: 0.788162 loss_bbox: 0.289660 loss_dfl: 0.186192 loss: 1.272590 eta: 2:19:01 batch_cost: 2.7688 data_cost: 0.0017 ips: 28.8939 images/s [10/17 04:34:56] ppdet.engine INFO: Epoch: [291] [340/366] learning_rate: 0.000714 loss_vfl: 0.795248 loss_bbox: 0.291241 loss_dfl: 0.183254 loss: 1.268595 eta: 2:18:05 batch_cost: 2.8706 data_cost: 0.0017 ips: 27.8686 images/s [10/17 04:35:50] ppdet.engine INFO: Epoch: [291] [360/366] learning_rate: 0.000704 loss_vfl: 0.796892 loss_bbox: 0.283452 loss_dfl: 0.183407 loss: 1.266102 eta: 2:17:08 batch_cost: 2.5269 data_cost: 0.0028 ips: 31.6589 images/s [10/17 04:36:29] ppdet.engine INFO: Epoch: [292] [ 0/366] learning_rate: 0.000701 loss_vfl: 0.798004 loss_bbox: 0.281284 loss_dfl: 0.183407 loss: 1.259117 eta: 2:16:52 batch_cost: 3.4108 data_cost: 0.5774 ips: 23.4549 images/s [10/17 04:37:31] ppdet.engine INFO: Epoch: [292] [ 20/366] learning_rate: 0.000692 loss_vfl: 0.805351 loss_bbox: 0.274648 loss_dfl: 0.183831 loss: 1.267262 eta: 2:15:56 batch_cost: 2.9445 data_cost: 0.0017 ips: 27.1691 images/s [10/17 04:38:30] ppdet.engine INFO: Epoch: [292] [ 40/366] learning_rate: 0.000682 loss_vfl: 0.799293 loss_bbox: 0.283705 loss_dfl: 0.184274 loss: 1.267274 eta: 2:15:00 batch_cost: 2.8154 data_cost: 0.0022 ips: 28.4156 images/s [10/17 04:39:30] ppdet.engine INFO: Epoch: [292] [ 60/366] learning_rate: 0.000673 loss_vfl: 0.788472 loss_bbox: 0.271900 loss_dfl: 0.178435 loss: 1.247230 eta: 2:14:04 batch_cost: 2.8599 data_cost: 0.0017 ips: 27.9731 images/s [10/17 04:40:29] ppdet.engine INFO: Epoch: [292] [ 80/366] learning_rate: 0.000664 loss_vfl: 0.793753 loss_bbox: 0.289870 loss_dfl: 0.183356 loss: 1.257510 eta: 2:13:08 batch_cost: 2.8055 data_cost: 0.0016 ips: 28.5157 images/s [10/17 04:41:28] ppdet.engine INFO: Epoch: [292] [100/366] learning_rate: 0.000654 loss_vfl: 0.787649 loss_bbox: 0.298190 loss_dfl: 0.191894 loss: 1.271960 eta: 2:12:12 batch_cost: 2.7879 data_cost: 0.0029 ips: 28.6958 images/s [10/17 04:42:27] ppdet.engine INFO: Epoch: [292] [120/366] learning_rate: 0.000645 loss_vfl: 0.798182 loss_bbox: 0.290921 loss_dfl: 0.184029 loss: 1.263042 eta: 2:11:16 batch_cost: 2.8108 data_cost: 0.0022 ips: 28.4613 images/s [10/17 04:43:26] ppdet.engine INFO: Epoch: [292] [140/366] learning_rate: 0.000636 loss_vfl: 0.804718 loss_bbox: 0.292969 loss_dfl: 0.194217 loss: 1.287333 eta: 2:10:19 batch_cost: 2.7925 data_cost: 0.0017 ips: 28.6482 images/s [10/17 04:44:24] ppdet.engine INFO: Epoch: [292] [160/366] learning_rate: 0.000627 loss_vfl: 0.800578 loss_bbox: 0.269987 loss_dfl: 0.181109 loss: 1.249807 eta: 2:09:23 batch_cost: 2.7768 data_cost: 0.0016 ips: 28.8103 images/s [10/17 04:45:24] ppdet.engine INFO: Epoch: [292] [180/366] learning_rate: 0.000618 loss_vfl: 0.801921 loss_bbox: 0.291858 loss_dfl: 0.180674 loss: 1.280501 eta: 2:08:27 batch_cost: 2.8414 data_cost: 0.0020 ips: 28.1547 images/s [10/17 04:46:23] ppdet.engine INFO: Epoch: [292] [200/366] learning_rate: 0.000609 loss_vfl: 0.785077 loss_bbox: 0.290963 loss_dfl: 0.187036 loss: 1.284739 eta: 2:07:31 batch_cost: 2.7991 data_cost: 0.0029 ips: 28.5807 images/s [10/17 04:47:21] ppdet.engine INFO: Epoch: [292] [220/366] learning_rate: 0.000600 loss_vfl: 0.809640 loss_bbox: 0.292659 loss_dfl: 0.182109 loss: 1.283921 eta: 2:06:35 batch_cost: 2.7567 data_cost: 0.0017 ips: 29.0202 images/s [10/17 04:48:21] ppdet.engine INFO: Epoch: [292] [240/366] learning_rate: 0.000591 loss_vfl: 0.798212 loss_bbox: 0.286439 loss_dfl: 0.182666 loss: 1.276382 eta: 2:05:39 batch_cost: 2.7955 data_cost: 0.0017 ips: 28.6173 images/s [10/17 04:49:19] ppdet.engine INFO: Epoch: [292] [260/366] learning_rate: 0.000582 loss_vfl: 0.803685 loss_bbox: 0.278995 loss_dfl: 0.184209 loss: 1.267931 eta: 2:04:43 batch_cost: 2.7641 data_cost: 0.0023 ips: 28.9430 images/s [10/17 04:50:17] ppdet.engine INFO: Epoch: [292] [280/366] learning_rate: 0.000574 loss_vfl: 0.795521 loss_bbox: 0.285568 loss_dfl: 0.187290 loss: 1.260684 eta: 2:03:47 batch_cost: 2.7654 data_cost: 0.0023 ips: 28.9286 images/s [10/17 04:51:16] ppdet.engine INFO: Epoch: [292] [300/366] learning_rate: 0.000565 loss_vfl: 0.790809 loss_bbox: 0.291274 loss_dfl: 0.192118 loss: 1.286953 eta: 2:02:51 batch_cost: 2.8118 data_cost: 0.0017 ips: 28.4512 images/s [10/17 04:52:15] ppdet.engine INFO: Epoch: [292] [320/366] learning_rate: 0.000557 loss_vfl: 0.789640 loss_bbox: 0.299496 loss_dfl: 0.188277 loss: 1.267874 eta: 2:01:55 batch_cost: 2.7949 data_cost: 0.0017 ips: 28.6236 images/s [10/17 04:53:15] ppdet.engine INFO: Epoch: [292] [340/366] learning_rate: 0.000548 loss_vfl: 0.786889 loss_bbox: 0.292273 loss_dfl: 0.193061 loss: 1.292635 eta: 2:00:58 batch_cost: 2.8320 data_cost: 0.0039 ips: 28.2490 images/s [10/17 04:54:10] ppdet.engine INFO: Epoch: [292] [360/366] learning_rate: 0.000540 loss_vfl: 0.801325 loss_bbox: 0.289458 loss_dfl: 0.187537 loss: 1.282710 eta: 2:00:02 batch_cost: 2.6033 data_cost: 0.0023 ips: 30.7303 images/s [10/17 04:54:49] ppdet.engine INFO: Epoch: [293] [ 0/366] learning_rate: 0.000537 loss_vfl: 0.809206 loss_bbox: 0.283053 loss_dfl: 0.185892 loss: 1.281983 eta: 1:59:46 batch_cost: 3.4865 data_cost: 0.4652 ips: 22.9459 images/s [10/17 04:55:49] ppdet.engine INFO: Epoch: [293] [ 20/366] learning_rate: 0.000529 loss_vfl: 0.795953 loss_bbox: 0.284403 loss_dfl: 0.188261 loss: 1.264192 eta: 1:58:50 batch_cost: 2.8308 data_cost: 0.0017 ips: 28.2604 images/s [10/17 04:56:47] ppdet.engine INFO: Epoch: [293] [ 40/366] learning_rate: 0.000520 loss_vfl: 0.805444 loss_bbox: 0.291199 loss_dfl: 0.185066 loss: 1.275671 eta: 1:57:54 batch_cost: 2.7499 data_cost: 0.0016 ips: 29.0919 images/s [10/17 04:57:45] ppdet.engine INFO: Epoch: [293] [ 60/366] learning_rate: 0.000512 loss_vfl: 0.801578 loss_bbox: 0.281185 loss_dfl: 0.185526 loss: 1.271532 eta: 1:56:58 batch_cost: 2.7856 data_cost: 0.0016 ips: 28.7187 images/s [10/17 04:58:48] ppdet.engine INFO: Epoch: [293] [ 80/366] learning_rate: 0.000504 loss_vfl: 0.806962 loss_bbox: 0.275812 loss_dfl: 0.179553 loss: 1.265735 eta: 1:56:01 batch_cost: 2.9462 data_cost: 0.0017 ips: 27.1536 images/s [10/17 04:59:52] ppdet.engine INFO: Epoch: [293] [100/366] learning_rate: 0.000496 loss_vfl: 0.795604 loss_bbox: 0.282370 loss_dfl: 0.178525 loss: 1.251452 eta: 1:55:06 batch_cost: 3.0601 data_cost: 0.0031 ips: 26.1429 images/s [10/17 05:00:55] ppdet.engine INFO: Epoch: [293] [120/366] learning_rate: 0.000488 loss_vfl: 0.795791 loss_bbox: 0.292684 loss_dfl: 0.184350 loss: 1.270148 eta: 1:54:09 batch_cost: 2.9715 data_cost: 0.0018 ips: 26.9228 images/s [10/17 05:01:58] ppdet.engine INFO: Epoch: [293] [140/366] learning_rate: 0.000480 loss_vfl: 0.807302 loss_bbox: 0.280084 loss_dfl: 0.181491 loss: 1.267410 eta: 1:53:13 batch_cost: 2.9883 data_cost: 0.0027 ips: 26.7714 images/s [10/17 05:03:01] ppdet.engine INFO: Epoch: [293] [160/366] learning_rate: 0.000472 loss_vfl: 0.804213 loss_bbox: 0.297303 loss_dfl: 0.181882 loss: 1.285635 eta: 1:52:17 batch_cost: 3.0079 data_cost: 0.0031 ips: 26.5962 images/s [10/17 05:04:05] ppdet.engine INFO: Epoch: [293] [180/366] learning_rate: 0.000464 loss_vfl: 0.792745 loss_bbox: 0.282801 loss_dfl: 0.182818 loss: 1.264016 eta: 1:51:21 batch_cost: 3.0491 data_cost: 0.0039 ips: 26.2372 images/s [10/17 05:05:10] ppdet.engine INFO: Epoch: [293] [200/366] learning_rate: 0.000457 loss_vfl: 0.796379 loss_bbox: 0.277712 loss_dfl: 0.183540 loss: 1.250820 eta: 1:50:25 batch_cost: 3.0757 data_cost: 0.0026 ips: 26.0101 images/s [10/17 05:06:12] ppdet.engine INFO: Epoch: [293] [220/366] learning_rate: 0.000449 loss_vfl: 0.788122 loss_bbox: 0.276969 loss_dfl: 0.183334 loss: 1.263256 eta: 1:49:29 batch_cost: 2.9861 data_cost: 0.0017 ips: 26.7910 images/s [10/17 05:07:16] ppdet.engine INFO: Epoch: [293] [240/366] learning_rate: 0.000441 loss_vfl: 0.803337 loss_bbox: 0.287744 loss_dfl: 0.189244 loss: 1.281569 eta: 1:48:33 batch_cost: 3.0383 data_cost: 0.0061 ips: 26.3303 images/s [10/17 05:08:20] ppdet.engine INFO: Epoch: [293] [260/366] learning_rate: 0.000434 loss_vfl: 0.805130 loss_bbox: 0.284379 loss_dfl: 0.182881 loss: 1.265991 eta: 1:47:37 batch_cost: 3.0015 data_cost: 0.0018 ips: 26.6535 images/s [10/17 05:09:26] ppdet.engine INFO: Epoch: [293] [280/366] learning_rate: 0.000426 loss_vfl: 0.797777 loss_bbox: 0.262437 loss_dfl: 0.177067 loss: 1.241553 eta: 1:46:41 batch_cost: 3.1383 data_cost: 0.0021 ips: 25.4912 images/s [10/17 05:10:30] ppdet.engine INFO: Epoch: [293] [300/366] learning_rate: 0.000419 loss_vfl: 0.795199 loss_bbox: 0.286112 loss_dfl: 0.183127 loss: 1.291527 eta: 1:45:45 batch_cost: 3.0223 data_cost: 0.0037 ips: 26.4703 images/s [10/17 05:11:33] ppdet.engine INFO: Epoch: [293] [320/366] learning_rate: 0.000411 loss_vfl: 0.798933 loss_bbox: 0.276276 loss_dfl: 0.181762 loss: 1.260949 eta: 1:44:49 batch_cost: 2.9983 data_cost: 0.0024 ips: 26.6816 images/s [10/17 05:12:38] ppdet.engine INFO: Epoch: [293] [340/366] learning_rate: 0.000404 loss_vfl: 0.796957 loss_bbox: 0.290311 loss_dfl: 0.188402 loss: 1.271720 eta: 1:43:53 batch_cost: 3.0508 data_cost: 0.0039 ips: 26.2224 images/s [10/17 05:13:37] ppdet.engine INFO: Epoch: [293] [360/366] learning_rate: 0.000397 loss_vfl: 0.808664 loss_bbox: 0.283395 loss_dfl: 0.180276 loss: 1.285424 eta: 1:42:57 batch_cost: 2.7889 data_cost: 0.0032 ips: 28.6856 images/s [10/17 05:14:21] ppdet.engine INFO: Epoch: [294] [ 0/366] learning_rate: 0.000395 loss_vfl: 0.806166 loss_bbox: 0.278070 loss_dfl: 0.176233 loss: 1.273656 eta: 1:42:41 batch_cost: 3.8145 data_cost: 0.4748 ips: 20.9728 images/s [10/17 05:15:24] ppdet.engine INFO: Epoch: [294] [ 20/366] learning_rate: 0.000388 loss_vfl: 0.801642 loss_bbox: 0.291588 loss_dfl: 0.189270 loss: 1.286952 eta: 1:41:45 batch_cost: 3.0366 data_cost: 0.0020 ips: 26.3456 images/s [10/17 05:16:26] ppdet.engine INFO: Epoch: [294] [ 40/366] learning_rate: 0.000380 loss_vfl: 0.795297 loss_bbox: 0.291566 loss_dfl: 0.186504 loss: 1.269403 eta: 1:40:49 batch_cost: 2.9140 data_cost: 0.0017 ips: 27.4539 images/s [10/17 05:17:24] ppdet.engine INFO: Epoch: [294] [ 60/366] learning_rate: 0.000373 loss_vfl: 0.803585 loss_bbox: 0.287295 loss_dfl: 0.184455 loss: 1.282482 eta: 1:39:53 batch_cost: 2.7702 data_cost: 0.0022 ips: 28.8786 images/s [10/17 05:18:23] ppdet.engine INFO: Epoch: [294] [ 80/366] learning_rate: 0.000366 loss_vfl: 0.809276 loss_bbox: 0.282287 loss_dfl: 0.180726 loss: 1.271007 eta: 1:38:57 batch_cost: 2.7807 data_cost: 0.0016 ips: 28.7701 images/s [10/17 05:19:21] ppdet.engine INFO: Epoch: [294] [100/366] learning_rate: 0.000360 loss_vfl: 0.781103 loss_bbox: 0.286972 loss_dfl: 0.184490 loss: 1.272085 eta: 1:38:00 batch_cost: 2.7962 data_cost: 0.0022 ips: 28.6107 images/s [10/17 05:20:21] ppdet.engine INFO: Epoch: [294] [120/366] learning_rate: 0.000353 loss_vfl: 0.799487 loss_bbox: 0.274465 loss_dfl: 0.180036 loss: 1.267647 eta: 1:37:04 batch_cost: 2.7972 data_cost: 0.0024 ips: 28.6001 images/s [10/17 05:21:20] ppdet.engine INFO: Epoch: [294] [140/366] learning_rate: 0.000346 loss_vfl: 0.799055 loss_bbox: 0.273470 loss_dfl: 0.184435 loss: 1.249960 eta: 1:36:08 batch_cost: 2.8343 data_cost: 0.0023 ips: 28.2261 images/s [10/17 05:22:18] ppdet.engine INFO: Epoch: [294] [160/366] learning_rate: 0.000339 loss_vfl: 0.808452 loss_bbox: 0.294991 loss_dfl: 0.186122 loss: 1.290701 eta: 1:35:12 batch_cost: 2.7539 data_cost: 0.0016 ips: 29.0494 images/s [10/17 05:23:16] ppdet.engine INFO: Epoch: [294] [180/366] learning_rate: 0.000333 loss_vfl: 0.798504 loss_bbox: 0.263547 loss_dfl: 0.175060 loss: 1.240848 eta: 1:34:16 batch_cost: 2.7337 data_cost: 0.0016 ips: 29.2645 images/s [10/17 05:24:13] ppdet.engine INFO: Epoch: [294] [200/366] learning_rate: 0.000326 loss_vfl: 0.795514 loss_bbox: 0.276556 loss_dfl: 0.178413 loss: 1.260008 eta: 1:33:20 batch_cost: 2.7071 data_cost: 0.0017 ips: 29.5518 images/s [10/17 05:25:10] ppdet.engine INFO: Epoch: [294] [220/366] learning_rate: 0.000320 loss_vfl: 0.788377 loss_bbox: 0.268705 loss_dfl: 0.179596 loss: 1.257270 eta: 1:32:24 batch_cost: 2.6953 data_cost: 0.0017 ips: 29.6817 images/s [10/17 05:26:07] ppdet.engine INFO: Epoch: [294] [240/366] learning_rate: 0.000313 loss_vfl: 0.800021 loss_bbox: 0.290679 loss_dfl: 0.186444 loss: 1.284743 eta: 1:31:27 batch_cost: 2.7393 data_cost: 0.0016 ips: 29.2045 images/s [10/17 05:27:04] ppdet.engine INFO: Epoch: [294] [260/366] learning_rate: 0.000307 loss_vfl: 0.791427 loss_bbox: 0.283352 loss_dfl: 0.182595 loss: 1.270329 eta: 1:30:31 batch_cost: 2.6952 data_cost: 0.0017 ips: 29.6826 images/s [10/17 05:28:03] ppdet.engine INFO: Epoch: [294] [280/366] learning_rate: 0.000300 loss_vfl: 0.789116 loss_bbox: 0.271347 loss_dfl: 0.180026 loss: 1.241390 eta: 1:29:35 batch_cost: 2.7658 data_cost: 0.0016 ips: 28.9245 images/s [10/17 05:29:02] ppdet.engine INFO: Epoch: [294] [300/366] learning_rate: 0.000294 loss_vfl: 0.796745 loss_bbox: 0.291191 loss_dfl: 0.186055 loss: 1.258737 eta: 1:28:39 batch_cost: 2.8261 data_cost: 0.0016 ips: 28.3077 images/s [10/17 05:30:01] ppdet.engine INFO: Epoch: [294] [320/366] learning_rate: 0.000288 loss_vfl: 0.805265 loss_bbox: 0.281122 loss_dfl: 0.185429 loss: 1.271720 eta: 1:27:43 batch_cost: 2.7929 data_cost: 0.0025 ips: 28.6439 images/s [10/17 05:31:00] ppdet.engine INFO: Epoch: [294] [340/366] learning_rate: 0.000282 loss_vfl: 0.801762 loss_bbox: 0.289882 loss_dfl: 0.186697 loss: 1.282646 eta: 1:26:47 batch_cost: 2.7958 data_cost: 0.0017 ips: 28.6139 images/s [10/17 05:31:54] ppdet.engine INFO: Epoch: [294] [360/366] learning_rate: 0.000276 loss_vfl: 0.798620 loss_bbox: 0.287789 loss_dfl: 0.190079 loss: 1.275596 eta: 1:25:51 batch_cost: 2.5398 data_cost: 0.0016 ips: 31.4992 images/s [10/17 05:32:32] ppdet.engine INFO: Epoch: [295] [ 0/366] learning_rate: 0.000274 loss_vfl: 0.807821 loss_bbox: 0.291884 loss_dfl: 0.190145 loss: 1.289193 eta: 1:25:34 batch_cost: 3.3631 data_cost: 0.6219 ips: 23.7877 images/s [10/17 05:33:33] ppdet.engine INFO: Epoch: [295] [ 20/366] learning_rate: 0.000268 loss_vfl: 0.809399 loss_bbox: 0.286385 loss_dfl: 0.186361 loss: 1.279989 eta: 1:24:38 batch_cost: 2.8676 data_cost: 0.0017 ips: 27.8984 images/s [10/17 05:34:32] ppdet.engine INFO: Epoch: [295] [ 40/366] learning_rate: 0.000262 loss_vfl: 0.797283 loss_bbox: 0.284249 loss_dfl: 0.181636 loss: 1.274377 eta: 1:23:42 batch_cost: 2.8078 data_cost: 0.0035 ips: 28.4924 images/s [10/17 05:35:30] ppdet.engine INFO: Epoch: [295] [ 60/366] learning_rate: 0.000256 loss_vfl: 0.815615 loss_bbox: 0.275992 loss_dfl: 0.181205 loss: 1.258419 eta: 1:22:46 batch_cost: 2.7652 data_cost: 0.0016 ips: 28.9315 images/s [10/17 05:36:28] ppdet.engine INFO: Epoch: [295] [ 80/366] learning_rate: 0.000251 loss_vfl: 0.799359 loss_bbox: 0.289867 loss_dfl: 0.188234 loss: 1.277091 eta: 1:21:50 batch_cost: 2.7515 data_cost: 0.0017 ips: 29.0749 images/s [10/17 05:37:28] ppdet.engine INFO: Epoch: [295] [100/366] learning_rate: 0.000245 loss_vfl: 0.800503 loss_bbox: 0.296456 loss_dfl: 0.186896 loss: 1.270575 eta: 1:20:54 batch_cost: 2.8213 data_cost: 0.0017 ips: 28.3560 images/s [10/17 05:38:27] ppdet.engine INFO: Epoch: [295] [120/366] learning_rate: 0.000239 loss_vfl: 0.801757 loss_bbox: 0.295434 loss_dfl: 0.187012 loss: 1.276331 eta: 1:19:57 batch_cost: 2.8025 data_cost: 0.0017 ips: 28.5456 images/s [10/17 05:39:25] ppdet.engine INFO: Epoch: [295] [140/366] learning_rate: 0.000234 loss_vfl: 0.803743 loss_bbox: 0.268204 loss_dfl: 0.180975 loss: 1.237066 eta: 1:19:01 batch_cost: 2.7813 data_cost: 0.0030 ips: 28.7640 images/s [10/17 05:40:24] ppdet.engine INFO: Epoch: [295] [160/366] learning_rate: 0.000228 loss_vfl: 0.795239 loss_bbox: 0.282966 loss_dfl: 0.188524 loss: 1.259636 eta: 1:18:05 batch_cost: 2.7692 data_cost: 0.0017 ips: 28.8890 images/s [10/17 05:41:22] ppdet.engine INFO: Epoch: [295] [180/366] learning_rate: 0.000223 loss_vfl: 0.798298 loss_bbox: 0.280329 loss_dfl: 0.180598 loss: 1.266109 eta: 1:17:09 batch_cost: 2.7466 data_cost: 0.0016 ips: 29.1273 images/s [10/17 05:42:19] ppdet.engine INFO: Epoch: [295] [200/366] learning_rate: 0.000217 loss_vfl: 0.809235 loss_bbox: 0.272621 loss_dfl: 0.183806 loss: 1.284445 eta: 1:16:13 batch_cost: 2.7187 data_cost: 0.0016 ips: 29.4254 images/s [10/17 05:43:18] ppdet.engine INFO: Epoch: [295] [220/366] learning_rate: 0.000212 loss_vfl: 0.804618 loss_bbox: 0.279824 loss_dfl: 0.182212 loss: 1.271770 eta: 1:15:17 batch_cost: 2.7979 data_cost: 0.0017 ips: 28.5932 images/s [10/17 05:44:17] ppdet.engine INFO: Epoch: [295] [240/366] learning_rate: 0.000207 loss_vfl: 0.797608 loss_bbox: 0.271468 loss_dfl: 0.173828 loss: 1.235009 eta: 1:14:21 batch_cost: 2.8181 data_cost: 0.0017 ips: 28.3882 images/s [10/17 05:45:16] ppdet.engine INFO: Epoch: [295] [260/366] learning_rate: 0.000202 loss_vfl: 0.799923 loss_bbox: 0.305437 loss_dfl: 0.191979 loss: 1.298485 eta: 1:13:25 batch_cost: 2.8119 data_cost: 0.0017 ips: 28.4509 images/s [10/17 05:46:16] ppdet.engine INFO: Epoch: [295] [280/366] learning_rate: 0.000197 loss_vfl: 0.796356 loss_bbox: 0.298615 loss_dfl: 0.187558 loss: 1.268545 eta: 1:12:28 batch_cost: 2.8312 data_cost: 0.0029 ips: 28.2568 images/s [10/17 05:47:17] ppdet.engine INFO: Epoch: [295] [300/366] learning_rate: 0.000192 loss_vfl: 0.800433 loss_bbox: 0.307246 loss_dfl: 0.191826 loss: 1.304329 eta: 1:11:32 batch_cost: 2.8792 data_cost: 0.0022 ips: 27.7857 images/s [10/17 05:48:16] ppdet.engine INFO: Epoch: [295] [320/366] learning_rate: 0.000187 loss_vfl: 0.805384 loss_bbox: 0.283004 loss_dfl: 0.187818 loss: 1.274102 eta: 1:10:36 batch_cost: 2.8340 data_cost: 0.0029 ips: 28.2288 images/s [10/17 05:49:17] ppdet.engine INFO: Epoch: [295] [340/366] learning_rate: 0.000182 loss_vfl: 0.792783 loss_bbox: 0.289321 loss_dfl: 0.193035 loss: 1.274842 eta: 1:09:40 batch_cost: 2.8818 data_cost: 0.0024 ips: 27.7607 images/s [10/17 05:50:13] ppdet.engine INFO: Epoch: [295] [360/366] learning_rate: 0.000177 loss_vfl: 0.795840 loss_bbox: 0.287134 loss_dfl: 0.190709 loss: 1.286871 eta: 1:08:44 batch_cost: 2.6800 data_cost: 0.0027 ips: 29.8506 images/s [10/17 05:50:56] ppdet.engine INFO: Epoch: [296] [ 0/366] learning_rate: 0.000175 loss_vfl: 0.801343 loss_bbox: 0.286152 loss_dfl: 0.190392 loss: 1.298265 eta: 1:08:27 batch_cost: 3.6860 data_cost: 0.3110 ips: 21.7040 images/s [10/17 05:52:00] ppdet.engine INFO: Epoch: [296] [ 20/366] learning_rate: 0.000171 loss_vfl: 0.798787 loss_bbox: 0.278235 loss_dfl: 0.183548 loss: 1.250125 eta: 1:07:31 batch_cost: 3.0349 data_cost: 0.0037 ips: 26.3602 images/s [10/17 05:53:00] ppdet.engine INFO: Epoch: [296] [ 40/366] learning_rate: 0.000166 loss_vfl: 0.795687 loss_bbox: 0.293256 loss_dfl: 0.190267 loss: 1.253796 eta: 1:06:35 batch_cost: 2.8731 data_cost: 0.0023 ips: 27.8448 images/s [10/17 05:54:00] ppdet.engine INFO: Epoch: [296] [ 60/366] learning_rate: 0.000161 loss_vfl: 0.790280 loss_bbox: 0.286355 loss_dfl: 0.186719 loss: 1.263042 eta: 1:05:39 batch_cost: 2.8457 data_cost: 0.0022 ips: 28.1126 images/s [10/17 05:55:01] ppdet.engine INFO: Epoch: [296] [ 80/366] learning_rate: 0.000157 loss_vfl: 0.800020 loss_bbox: 0.303135 loss_dfl: 0.193994 loss: 1.307322 eta: 1:04:43 batch_cost: 2.9075 data_cost: 0.0030 ips: 27.5146 images/s [10/17 05:56:02] ppdet.engine INFO: Epoch: [296] [100/366] learning_rate: 0.000152 loss_vfl: 0.800547 loss_bbox: 0.289983 loss_dfl: 0.189148 loss: 1.272773 eta: 1:03:47 batch_cost: 2.8649 data_cost: 0.0017 ips: 27.9242 images/s [10/17 05:57:01] ppdet.engine INFO: Epoch: [296] [120/366] learning_rate: 0.000148 loss_vfl: 0.809280 loss_bbox: 0.292871 loss_dfl: 0.191987 loss: 1.303410 eta: 1:02:51 batch_cost: 2.8153 data_cost: 0.0023 ips: 28.4166 images/s [10/17 05:58:02] ppdet.engine INFO: Epoch: [296] [140/366] learning_rate: 0.000143 loss_vfl: 0.800527 loss_bbox: 0.278832 loss_dfl: 0.183434 loss: 1.257002 eta: 1:01:55 batch_cost: 2.8899 data_cost: 0.0022 ips: 27.6822 images/s [10/17 05:59:02] ppdet.engine INFO: Epoch: [296] [160/366] learning_rate: 0.000139 loss_vfl: 0.786395 loss_bbox: 0.274389 loss_dfl: 0.178427 loss: 1.244427 eta: 1:00:59 batch_cost: 2.8484 data_cost: 0.0017 ips: 28.0860 images/s [10/17 06:00:03] ppdet.engine INFO: Epoch: [296] [180/366] learning_rate: 0.000135 loss_vfl: 0.794519 loss_bbox: 0.287895 loss_dfl: 0.186754 loss: 1.280360 eta: 1:00:03 batch_cost: 2.8796 data_cost: 0.0028 ips: 27.7813 images/s [10/17 06:01:02] ppdet.engine INFO: Epoch: [296] [200/366] learning_rate: 0.000131 loss_vfl: 0.795556 loss_bbox: 0.284396 loss_dfl: 0.181885 loss: 1.257165 eta: 0:59:06 batch_cost: 2.8114 data_cost: 0.0017 ips: 28.4559 images/s [10/17 06:02:02] ppdet.engine INFO: Epoch: [296] [220/366] learning_rate: 0.000127 loss_vfl: 0.796989 loss_bbox: 0.274228 loss_dfl: 0.182378 loss: 1.265392 eta: 0:58:10 batch_cost: 2.8195 data_cost: 0.0017 ips: 28.3740 images/s [10/17 06:03:01] ppdet.engine INFO: Epoch: [296] [240/366] learning_rate: 0.000123 loss_vfl: 0.793467 loss_bbox: 0.289480 loss_dfl: 0.188128 loss: 1.262196 eta: 0:57:14 batch_cost: 2.8147 data_cost: 0.0017 ips: 28.4225 images/s [10/17 06:04:00] ppdet.engine INFO: Epoch: [296] [260/366] learning_rate: 0.000119 loss_vfl: 0.815197 loss_bbox: 0.290430 loss_dfl: 0.184303 loss: 1.282977 eta: 0:56:18 batch_cost: 2.8080 data_cost: 0.0016 ips: 28.4905 images/s [10/17 06:05:00] ppdet.engine INFO: Epoch: [296] [280/366] learning_rate: 0.000115 loss_vfl: 0.811306 loss_bbox: 0.281489 loss_dfl: 0.180951 loss: 1.266661 eta: 0:55:22 batch_cost: 2.8624 data_cost: 0.0036 ips: 27.9486 images/s [10/17 06:06:01] ppdet.engine INFO: Epoch: [296] [300/366] learning_rate: 0.000111 loss_vfl: 0.788157 loss_bbox: 0.295333 loss_dfl: 0.188207 loss: 1.271443 eta: 0:54:26 batch_cost: 2.8737 data_cost: 0.0017 ips: 27.8388 images/s [10/17 06:07:02] ppdet.engine INFO: Epoch: [296] [320/366] learning_rate: 0.000107 loss_vfl: 0.806393 loss_bbox: 0.275777 loss_dfl: 0.182514 loss: 1.295066 eta: 0:53:30 batch_cost: 2.8817 data_cost: 0.0023 ips: 27.7616 images/s [10/17 06:08:02] ppdet.engine INFO: Epoch: [296] [340/366] learning_rate: 0.000103 loss_vfl: 0.803469 loss_bbox: 0.301899 loss_dfl: 0.191848 loss: 1.304419 eta: 0:52:34 batch_cost: 2.8687 data_cost: 0.0017 ips: 27.8870 images/s [10/17 06:08:58] ppdet.engine INFO: Epoch: [296] [360/366] learning_rate: 0.000100 loss_vfl: 0.804057 loss_bbox: 0.277105 loss_dfl: 0.185976 loss: 1.282307 eta: 0:51:37 batch_cost: 2.6463 data_cost: 0.0016 ips: 30.2313 images/s [10/17 06:09:36] ppdet.engine INFO: Epoch: [297] [ 0/366] learning_rate: 0.000099 loss_vfl: 0.804057 loss_bbox: 0.275982 loss_dfl: 0.180719 loss: 1.273884 eta: 0:51:21 batch_cost: 3.4530 data_cost: 0.5003 ips: 23.1683 images/s [10/17 06:10:41] ppdet.engine INFO: Epoch: [297] [ 20/366] learning_rate: 0.000095 loss_vfl: 0.799265 loss_bbox: 0.282033 loss_dfl: 0.184757 loss: 1.269965 eta: 0:50:25 batch_cost: 3.0653 data_cost: 0.0037 ips: 26.0983 images/s [10/17 06:11:43] ppdet.engine INFO: Epoch: [297] [ 40/366] learning_rate: 0.000092 loss_vfl: 0.799831 loss_bbox: 0.275080 loss_dfl: 0.182597 loss: 1.273130 eta: 0:49:29 batch_cost: 2.9099 data_cost: 0.0029 ips: 27.4921 images/s [10/17 06:12:45] ppdet.engine INFO: Epoch: [297] [ 60/366] learning_rate: 0.000088 loss_vfl: 0.799077 loss_bbox: 0.305343 loss_dfl: 0.189363 loss: 1.286659 eta: 0:48:32 batch_cost: 2.9272 data_cost: 0.0018 ips: 27.3300 images/s [10/17 06:13:44] ppdet.engine INFO: Epoch: [297] [ 80/366] learning_rate: 0.000085 loss_vfl: 0.794759 loss_bbox: 0.303118 loss_dfl: 0.191819 loss: 1.296192 eta: 0:47:36 batch_cost: 2.8030 data_cost: 0.0025 ips: 28.5411 images/s [10/17 06:14:44] ppdet.engine INFO: Epoch: [297] [100/366] learning_rate: 0.000082 loss_vfl: 0.803724 loss_bbox: 0.287975 loss_dfl: 0.186694 loss: 1.266775 eta: 0:46:40 batch_cost: 2.8343 data_cost: 0.0017 ips: 28.2256 images/s [10/17 06:15:45] ppdet.engine INFO: Epoch: [297] [120/366] learning_rate: 0.000078 loss_vfl: 0.801391 loss_bbox: 0.283834 loss_dfl: 0.186206 loss: 1.269024 eta: 0:45:44 batch_cost: 2.9082 data_cost: 0.0023 ips: 27.5086 images/s [10/17 06:16:43] ppdet.engine INFO: Epoch: [297] [140/366] learning_rate: 0.000075 loss_vfl: 0.787718 loss_bbox: 0.290712 loss_dfl: 0.185527 loss: 1.273618 eta: 0:44:48 batch_cost: 2.7804 data_cost: 0.0017 ips: 28.7725 images/s [10/17 06:17:42] ppdet.engine INFO: Epoch: [297] [160/366] learning_rate: 0.000072 loss_vfl: 0.788487 loss_bbox: 0.273008 loss_dfl: 0.179485 loss: 1.252849 eta: 0:43:52 batch_cost: 2.7724 data_cost: 0.0017 ips: 28.8556 images/s [10/17 06:18:41] ppdet.engine INFO: Epoch: [297] [180/366] learning_rate: 0.000069 loss_vfl: 0.802459 loss_bbox: 0.278551 loss_dfl: 0.184434 loss: 1.275695 eta: 0:42:56 batch_cost: 2.8016 data_cost: 0.0023 ips: 28.5548 images/s [10/17 06:19:43] ppdet.engine INFO: Epoch: [297] [200/366] learning_rate: 0.000066 loss_vfl: 0.795773 loss_bbox: 0.285133 loss_dfl: 0.177576 loss: 1.257996 eta: 0:42:00 batch_cost: 2.9456 data_cost: 0.0029 ips: 27.1595 images/s [10/17 06:20:45] ppdet.engine INFO: Epoch: [297] [220/366] learning_rate: 0.000063 loss_vfl: 0.802723 loss_bbox: 0.286834 loss_dfl: 0.185665 loss: 1.262946 eta: 0:41:04 batch_cost: 2.9507 data_cost: 0.0024 ips: 27.1119 images/s [10/17 06:21:45] ppdet.engine INFO: Epoch: [297] [240/366] learning_rate: 0.000060 loss_vfl: 0.779602 loss_bbox: 0.299423 loss_dfl: 0.190202 loss: 1.269214 eta: 0:40:07 batch_cost: 2.8383 data_cost: 0.0016 ips: 28.1856 images/s [10/17 06:22:45] ppdet.engine INFO: Epoch: [297] [260/366] learning_rate: 0.000057 loss_vfl: 0.809305 loss_bbox: 0.294851 loss_dfl: 0.189350 loss: 1.274384 eta: 0:39:11 batch_cost: 2.8443 data_cost: 0.0022 ips: 28.1266 images/s [10/17 06:23:44] ppdet.engine INFO: Epoch: [297] [280/366] learning_rate: 0.000055 loss_vfl: 0.795692 loss_bbox: 0.280209 loss_dfl: 0.176579 loss: 1.250240 eta: 0:38:15 batch_cost: 2.8196 data_cost: 0.0023 ips: 28.3729 images/s [10/17 06:24:42] ppdet.engine INFO: Epoch: [297] [300/366] learning_rate: 0.000052 loss_vfl: 0.786097 loss_bbox: 0.289542 loss_dfl: 0.188972 loss: 1.269681 eta: 0:37:19 batch_cost: 2.7400 data_cost: 0.0016 ips: 29.1971 images/s [10/17 06:25:41] ppdet.engine INFO: Epoch: [297] [320/366] learning_rate: 0.000050 loss_vfl: 0.801948 loss_bbox: 0.281641 loss_dfl: 0.183166 loss: 1.276034 eta: 0:36:23 batch_cost: 2.7924 data_cost: 0.0016 ips: 28.6493 images/s [10/17 06:26:39] ppdet.engine INFO: Epoch: [297] [340/366] learning_rate: 0.000047 loss_vfl: 0.801373 loss_bbox: 0.278821 loss_dfl: 0.187572 loss: 1.265921 eta: 0:35:27 batch_cost: 2.7749 data_cost: 0.0033 ips: 28.8304 images/s [10/17 06:27:33] ppdet.engine INFO: Epoch: [297] [360/366] learning_rate: 0.000045 loss_vfl: 0.800785 loss_bbox: 0.289811 loss_dfl: 0.184560 loss: 1.285882 eta: 0:34:31 batch_cost: 2.5486 data_cost: 0.0017 ips: 31.3903 images/s [10/17 06:28:15] ppdet.engine INFO: Epoch: [298] [ 0/366] learning_rate: 0.000044 loss_vfl: 0.800785 loss_bbox: 0.276818 loss_dfl: 0.183538 loss: 1.283476 eta: 0:34:14 batch_cost: 3.6052 data_cost: 0.4234 ips: 22.1899 images/s [10/17 06:29:18] ppdet.engine INFO: Epoch: [298] [ 20/366] learning_rate: 0.000041 loss_vfl: 0.806188 loss_bbox: 0.280776 loss_dfl: 0.181900 loss: 1.264019 eta: 0:33:18 batch_cost: 2.9858 data_cost: 0.0018 ips: 26.7932 images/s [10/17 06:30:19] ppdet.engine INFO: Epoch: [298] [ 40/366] learning_rate: 0.000039 loss_vfl: 0.793011 loss_bbox: 0.276420 loss_dfl: 0.181490 loss: 1.244898 eta: 0:32:22 batch_cost: 2.8863 data_cost: 0.0023 ips: 27.7172 images/s [10/17 06:31:19] ppdet.engine INFO: Epoch: [298] [ 60/366] learning_rate: 0.000037 loss_vfl: 0.788931 loss_bbox: 0.289560 loss_dfl: 0.188765 loss: 1.272124 eta: 0:31:26 batch_cost: 2.8627 data_cost: 0.0029 ips: 27.9453 images/s [10/17 06:32:19] ppdet.engine INFO: Epoch: [298] [ 80/366] learning_rate: 0.000035 loss_vfl: 0.798189 loss_bbox: 0.289605 loss_dfl: 0.186405 loss: 1.287148 eta: 0:30:29 batch_cost: 2.8588 data_cost: 0.0017 ips: 27.9834 images/s [10/17 06:33:17] ppdet.engine INFO: Epoch: [298] [100/366] learning_rate: 0.000033 loss_vfl: 0.800878 loss_bbox: 0.290406 loss_dfl: 0.185174 loss: 1.271193 eta: 0:29:33 batch_cost: 2.7519 data_cost: 0.0016 ips: 29.0711 images/s [10/17 06:34:15] ppdet.engine INFO: Epoch: [298] [120/366] learning_rate: 0.000031 loss_vfl: 0.803775 loss_bbox: 0.291673 loss_dfl: 0.185413 loss: 1.284014 eta: 0:28:37 batch_cost: 2.7575 data_cost: 0.0016 ips: 29.0116 images/s [10/17 06:35:15] ppdet.engine INFO: Epoch: [298] [140/366] learning_rate: 0.000029 loss_vfl: 0.806601 loss_bbox: 0.278393 loss_dfl: 0.185055 loss: 1.264070 eta: 0:27:41 batch_cost: 2.8124 data_cost: 0.0017 ips: 28.4455 images/s [10/17 06:36:14] ppdet.engine INFO: Epoch: [298] [160/366] learning_rate: 0.000027 loss_vfl: 0.805380 loss_bbox: 0.281633 loss_dfl: 0.184249 loss: 1.268858 eta: 0:26:45 batch_cost: 2.8304 data_cost: 0.0016 ips: 28.2642 images/s [10/17 06:37:15] ppdet.engine INFO: Epoch: [298] [180/366] learning_rate: 0.000025 loss_vfl: 0.806258 loss_bbox: 0.283142 loss_dfl: 0.185853 loss: 1.282898 eta: 0:25:49 batch_cost: 2.8609 data_cost: 0.0016 ips: 27.9635 images/s [10/17 06:38:15] ppdet.engine INFO: Epoch: [298] [200/366] learning_rate: 0.000023 loss_vfl: 0.798820 loss_bbox: 0.297836 loss_dfl: 0.191075 loss: 1.296221 eta: 0:24:53 batch_cost: 2.8730 data_cost: 0.0017 ips: 27.8457 images/s [10/17 06:39:16] ppdet.engine INFO: Epoch: [298] [220/366] learning_rate: 0.000021 loss_vfl: 0.795489 loss_bbox: 0.265695 loss_dfl: 0.180971 loss: 1.255403 eta: 0:23:57 batch_cost: 2.8679 data_cost: 0.0017 ips: 27.8946 images/s [10/17 06:40:16] ppdet.engine INFO: Epoch: [298] [240/366] learning_rate: 0.000020 loss_vfl: 0.805874 loss_bbox: 0.289056 loss_dfl: 0.191201 loss: 1.293293 eta: 0:23:00 batch_cost: 2.8481 data_cost: 0.0016 ips: 28.0885 images/s [10/17 06:41:16] ppdet.engine INFO: Epoch: [298] [260/366] learning_rate: 0.000018 loss_vfl: 0.806293 loss_bbox: 0.280919 loss_dfl: 0.179731 loss: 1.266862 eta: 0:22:04 batch_cost: 2.8305 data_cost: 0.0017 ips: 28.2632 images/s [10/17 06:42:16] ppdet.engine INFO: Epoch: [298] [280/366] learning_rate: 0.000017 loss_vfl: 0.802353 loss_bbox: 0.278349 loss_dfl: 0.182217 loss: 1.257624 eta: 0:21:08 batch_cost: 2.8467 data_cost: 0.0017 ips: 28.1023 images/s [10/17 06:43:16] ppdet.engine INFO: Epoch: [298] [300/366] learning_rate: 0.000015 loss_vfl: 0.796736 loss_bbox: 0.281456 loss_dfl: 0.183473 loss: 1.270173 eta: 0:20:12 batch_cost: 2.8289 data_cost: 0.0029 ips: 28.2793 images/s [10/17 06:44:15] ppdet.engine INFO: Epoch: [298] [320/366] learning_rate: 0.000014 loss_vfl: 0.812279 loss_bbox: 0.289595 loss_dfl: 0.188032 loss: 1.295489 eta: 0:19:16 batch_cost: 2.7855 data_cost: 0.0016 ips: 28.7204 images/s [10/17 06:45:13] ppdet.engine INFO: Epoch: [298] [340/366] learning_rate: 0.000013 loss_vfl: 0.791479 loss_bbox: 0.289769 loss_dfl: 0.187681 loss: 1.290251 eta: 0:18:20 batch_cost: 2.7712 data_cost: 0.0016 ips: 28.8686 images/s [10/17 06:46:09] ppdet.engine INFO: Epoch: [298] [360/366] learning_rate: 0.000011 loss_vfl: 0.814513 loss_bbox: 0.277891 loss_dfl: 0.180227 loss: 1.270477 eta: 0:17:24 batch_cost: 2.6268 data_cost: 0.0016 ips: 30.4552 images/s [10/17 06:46:51] ppdet.engine INFO: Epoch: [299] [ 0/366] learning_rate: 0.000011 loss_vfl: 0.805189 loss_bbox: 0.281274 loss_dfl: 0.185518 loss: 1.270477 eta: 0:17:07 batch_cost: 3.6614 data_cost: 0.6029 ips: 21.8498 images/s [10/17 06:47:50] ppdet.engine INFO: Epoch: [299] [ 20/366] learning_rate: 0.000010 loss_vfl: 0.802582 loss_bbox: 0.291128 loss_dfl: 0.190022 loss: 1.288363 eta: 0:16:11 batch_cost: 2.7805 data_cost: 0.0018 ips: 28.7714 images/s [10/17 06:48:50] ppdet.engine INFO: Epoch: [299] [ 40/366] learning_rate: 0.000009 loss_vfl: 0.801991 loss_bbox: 0.263394 loss_dfl: 0.172673 loss: 1.248609 eta: 0:15:15 batch_cost: 2.8701 data_cost: 0.0017 ips: 27.8738 images/s [10/17 06:49:51] ppdet.engine INFO: Epoch: [299] [ 60/366] learning_rate: 0.000008 loss_vfl: 0.798916 loss_bbox: 0.280684 loss_dfl: 0.184943 loss: 1.276909 eta: 0:14:18 batch_cost: 2.9164 data_cost: 0.0026 ips: 27.4309 images/s [10/17 06:50:51] ppdet.engine INFO: Epoch: [299] [ 80/366] learning_rate: 0.000007 loss_vfl: 0.799571 loss_bbox: 0.283134 loss_dfl: 0.182229 loss: 1.264200 eta: 0:13:22 batch_cost: 2.8388 data_cost: 0.0017 ips: 28.1811 images/s [10/17 06:51:50] ppdet.engine INFO: Epoch: [299] [100/366] learning_rate: 0.000006 loss_vfl: 0.800984 loss_bbox: 0.276270 loss_dfl: 0.181095 loss: 1.264838 eta: 0:12:26 batch_cost: 2.8046 data_cost: 0.0016 ips: 28.5245 images/s [10/17 06:52:49] ppdet.engine INFO: Epoch: [299] [120/366] learning_rate: 0.000005 loss_vfl: 0.802694 loss_bbox: 0.294073 loss_dfl: 0.192365 loss: 1.284285 eta: 0:11:30 batch_cost: 2.7821 data_cost: 0.0017 ips: 28.7554 images/s [10/17 06:53:49] ppdet.engine INFO: Epoch: [299] [140/366] learning_rate: 0.000004 loss_vfl: 0.803620 loss_bbox: 0.282190 loss_dfl: 0.183222 loss: 1.266350 eta: 0:10:34 batch_cost: 2.8229 data_cost: 0.0016 ips: 28.3401 images/s [10/17 06:54:48] ppdet.engine INFO: Epoch: [299] [160/366] learning_rate: 0.000003 loss_vfl: 0.816373 loss_bbox: 0.277010 loss_dfl: 0.184579 loss: 1.277907 eta: 0:09:38 batch_cost: 2.8419 data_cost: 0.0016 ips: 28.1503 images/s [10/17 06:55:49] ppdet.engine INFO: Epoch: [299] [180/366] learning_rate: 0.000003 loss_vfl: 0.800857 loss_bbox: 0.286625 loss_dfl: 0.186790 loss: 1.270430 eta: 0:08:42 batch_cost: 2.8962 data_cost: 0.0017 ips: 27.6221 images/s [10/17 06:56:50] ppdet.engine INFO: Epoch: [299] [200/366] learning_rate: 0.000002 loss_vfl: 0.803181 loss_bbox: 0.288478 loss_dfl: 0.185710 loss: 1.282266 eta: 0:07:45 batch_cost: 2.8776 data_cost: 0.0016 ips: 27.8010 images/s [10/17 06:57:50] ppdet.engine INFO: Epoch: [299] [220/366] learning_rate: 0.000002 loss_vfl: 0.788718 loss_bbox: 0.280448 loss_dfl: 0.190013 loss: 1.253412 eta: 0:06:49 batch_cost: 2.8758 data_cost: 0.0017 ips: 27.8188 images/s [10/17 06:58:50] ppdet.engine INFO: Epoch: [299] [240/366] learning_rate: 0.000001 loss_vfl: 0.794732 loss_bbox: 0.270646 loss_dfl: 0.182574 loss: 1.246623 eta: 0:05:53 batch_cost: 2.8564 data_cost: 0.0017 ips: 28.0075 images/s [10/17 06:59:50] ppdet.engine INFO: Epoch: [299] [260/366] learning_rate: 0.000001 loss_vfl: 0.785926 loss_bbox: 0.296638 loss_dfl: 0.191005 loss: 1.284115 eta: 0:04:57 batch_cost: 2.8120 data_cost: 0.0018 ips: 28.4500 images/s [10/17 07:00:49] ppdet.engine INFO: Epoch: [299] [280/366] learning_rate: 0.000001 loss_vfl: 0.791247 loss_bbox: 0.278684 loss_dfl: 0.185359 loss: 1.281997 eta: 0:04:01 batch_cost: 2.8313 data_cost: 0.0017 ips: 28.2557 images/s [10/17 07:01:50] ppdet.engine INFO: Epoch: [299] [300/366] learning_rate: 0.000000 loss_vfl: 0.804483 loss_bbox: 0.280077 loss_dfl: 0.183396 loss: 1.272949 eta: 0:03:05 batch_cost: 2.8930 data_cost: 0.0018 ips: 27.6533 images/s INFO 2021-10-17 07:10:03,191 launch.py:268] Local processes completed. [10/17 07:02:51] ppdet.engine INFO: Epoch: [299] [320/366] learning_rate: 0.000000 loss_vfl: 0.818264 loss_bbox: 0.283158 loss_dfl: 0.185490 loss: 1.289831 eta: 0:02:09 batch_cost: 2.8682 data_cost: 0.0017 ips: 27.8917 images/s [10/17 07:03:52] ppdet.engine INFO: Epoch: [299] [340/366] learning_rate: 0.000000 loss_vfl: 0.808126 loss_bbox: 0.289571 loss_dfl: 0.187037 loss: 1.298795 eta: 0:01:12 batch_cost: 2.8844 data_cost: 0.0017 ips: 27.7353 images/s [10/17 07:04:47] ppdet.engine INFO: Epoch: [299] [360/366] learning_rate: 0.000000 loss_vfl: 0.806169 loss_bbox: 0.285106 loss_dfl: 0.187175 loss: 1.293831 eta: 0:00:16 batch_cost: 2.6092 data_cost: 0.0016 ips: 30.6602 images/s [10/17 07:05:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_s_416_coco [10/17 07:05:03] ppdet.engine INFO: Eval iter: 0 [10/17 07:05:37] ppdet.engine INFO: Eval iter: 100 [10/17 07:06:00] ppdet.engine INFO: Eval iter: 200 [10/17 07:06:23] ppdet.engine INFO: Eval iter: 300 [10/17 07:06:45] ppdet.engine INFO: Eval iter: 400 [10/17 07:07:08] ppdet.engine INFO: Eval iter: 500 [10/17 07:07:31] ppdet.engine INFO: Eval iter: 600 [10/17 07:07:53] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/17 07:07:54] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.83s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=98.49s). Accumulating evaluation results... DONE (t=17.11s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.455 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.107 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.321 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.499 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 ] = 0.195 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.514 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.709 [10/17 07:09:57] ppdet.engine INFO: Total sample number: 5000, averge FPS: 32.0418991736764 [10/17 07:09:57] ppdet.engine INFO: Best test bbox ap is 0.307.