grep: warning: GREP_OPTIONS is deprecated; please use an alias or script Warning: import ppdet from source directory without installing, run 'python setup.py install' to install ppdet firstly W1017 02:24:18.685578 29175 gen_comm_id_helper.cc:120] connect addr=127.0.0.1:34183 failed 1 times with reason: Connection refused retry after 0.5 seconds I1017 02:24:19.186146 29175 nccl_context.cc:74] init nccl context nranks: 8 local rank: 0 gpu id: 0 ring id: 0 W1017 02:24:20.866971 29175 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.2, Runtime API Version: 10.2 W1017 02:24:20.872222 29175 device_context.cc:422] device: 0, cuDNN Version: 7.6. loading annotations into memory... Done (t=17.88s) creating index... index created! [10/17 02:24:49] 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. [10/17 02:25:00] 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. [10/17 02:25:05] 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 [10/17 02:25:38] ppdet.engine INFO: Epoch: [0] [ 0/229] learning_rate: 0.040000 loss_vfl: 1.208398 loss_bbox: 1.352914 loss_dfl: 0.646450 loss: 3.207763 eta: 26 days, 17:35:42 batch_cost: 33.6207 data_cost: 10.8069 ips: 1.9036 images/s [10/17 02:26:24] ppdet.engine INFO: Epoch: [0] [ 20/229] learning_rate: 0.064000 loss_vfl: 1.174239 loss_bbox: 1.000344 loss_dfl: 0.473871 loss: 2.646561 eta: 2 days, 21:15:15 batch_cost: 2.1306 data_cost: 0.0026 ips: 30.0388 images/s [10/17 02:27:11] ppdet.engine INFO: Epoch: [0] [ 40/229] learning_rate: 0.088000 loss_vfl: 1.088368 loss_bbox: 0.818296 loss_dfl: 0.408143 loss: 2.306075 eta: 2 days, 7:23:18 batch_cost: 2.1419 data_cost: 0.0040 ips: 29.8805 images/s [10/17 02:27:57] ppdet.engine INFO: Epoch: [0] [ 60/229] learning_rate: 0.112000 loss_vfl: 1.059046 loss_bbox: 0.739546 loss_dfl: 0.359511 loss: 2.164989 eta: 2 days, 2:50:06 batch_cost: 2.1784 data_cost: 0.0043 ips: 29.3796 images/s [10/17 02:28:43] ppdet.engine INFO: Epoch: [0] [ 80/229] learning_rate: 0.136000 loss_vfl: 1.102131 loss_bbox: 0.643439 loss_dfl: 0.331852 loss: 2.076536 eta: 2 days, 0:12:24 batch_cost: 2.1109 data_cost: 0.0038 ips: 30.3194 images/s [10/17 02:29:30] ppdet.engine INFO: Epoch: [0] [100/229] learning_rate: 0.160000 loss_vfl: 1.076807 loss_bbox: 0.629259 loss_dfl: 0.323351 loss: 2.075861 eta: 1 day, 22:48:25 batch_cost: 2.1618 data_cost: 0.0029 ips: 29.6047 images/s [10/17 02:30:16] ppdet.engine INFO: Epoch: [0] [120/229] learning_rate: 0.184000 loss_vfl: 1.084424 loss_bbox: 0.579924 loss_dfl: 0.294539 loss: 1.962178 eta: 1 day, 21:52:29 batch_cost: 2.1646 data_cost: 0.0041 ips: 29.5665 images/s [10/17 02:31:03] ppdet.engine INFO: Epoch: [0] [140/229] learning_rate: 0.208000 loss_vfl: 1.111246 loss_bbox: 0.541545 loss_dfl: 0.284439 loss: 1.954175 eta: 1 day, 21:02:27 batch_cost: 2.1044 data_cost: 0.0039 ips: 30.4118 images/s [10/17 02:31:49] ppdet.engine INFO: Epoch: [0] [160/229] learning_rate: 0.232000 loss_vfl: 1.162285 loss_bbox: 0.543389 loss_dfl: 0.292611 loss: 1.996867 eta: 1 day, 20:27:00 batch_cost: 2.1207 data_cost: 0.0018 ips: 30.1785 images/s [10/17 02:32:35] ppdet.engine INFO: Epoch: [0] [180/229] learning_rate: 0.256000 loss_vfl: 1.132545 loss_bbox: 0.515681 loss_dfl: 0.268087 loss: 1.897721 eta: 1 day, 19:52:15 batch_cost: 2.0655 data_cost: 0.0048 ips: 30.9846 images/s [10/17 02:33:21] ppdet.engine INFO: Epoch: [0] [200/229] learning_rate: 0.280000 loss_vfl: 1.144907 loss_bbox: 0.521386 loss_dfl: 0.277985 loss: 1.973030 eta: 1 day, 19:22:16 batch_cost: 2.0478 data_cost: 0.0046 ips: 31.2527 images/s [10/17 02:33:58] ppdet.engine INFO: Epoch: [0] [220/229] learning_rate: 0.304000 loss_vfl: 1.121482 loss_bbox: 0.488776 loss_dfl: 0.267435 loss: 1.912765 eta: 1 day, 18:22:21 batch_cost: 1.7066 data_cost: 0.0026 ips: 37.5015 images/s [10/17 02:34:39] ppdet.engine INFO: Epoch: [1] [ 0/229] learning_rate: 0.314800 loss_vfl: 1.127869 loss_bbox: 0.492332 loss_dfl: 0.270364 loss: 1.912765 eta: 1 day, 19:46:19 batch_cost: 2.6528 data_cost: 0.9501 ips: 24.1253 images/s [10/17 02:35:27] ppdet.engine INFO: Epoch: [1] [ 20/229] learning_rate: 0.338800 loss_vfl: 1.121989 loss_bbox: 0.508420 loss_dfl: 0.273088 loss: 1.899068 eta: 1 day, 19:38:51 batch_cost: 2.2279 data_cost: 0.0046 ips: 28.7264 images/s [10/17 02:36:15] ppdet.engine INFO: Epoch: [1] [ 40/229] learning_rate: 0.362800 loss_vfl: 1.108103 loss_bbox: 0.460422 loss_dfl: 0.258642 loss: 1.858705 eta: 1 day, 19:31:12 batch_cost: 2.2141 data_cost: 0.0023 ips: 28.9051 images/s [10/17 02:37:02] ppdet.engine INFO: Epoch: [1] [ 60/229] learning_rate: 0.386800 loss_vfl: 1.083525 loss_bbox: 0.493899 loss_dfl: 0.276276 loss: 1.864173 eta: 1 day, 19:20:32 batch_cost: 2.1636 data_cost: 0.0070 ips: 29.5806 images/s [10/17 02:37:49] ppdet.engine INFO: Epoch: [1] [ 80/229] learning_rate: 0.399980 loss_vfl: 1.110589 loss_bbox: 0.447407 loss_dfl: 0.246677 loss: 1.821861 eta: 1 day, 19:11:05 batch_cost: 2.1625 data_cost: 0.0045 ips: 29.5949 images/s [10/17 02:38:36] ppdet.engine INFO: Epoch: [1] [100/229] learning_rate: 0.399977 loss_vfl: 1.115177 loss_bbox: 0.450311 loss_dfl: 0.246361 loss: 1.822165 eta: 1 day, 19:01:53 batch_cost: 2.1511 data_cost: 0.0032 ips: 29.7520 images/s [10/17 02:39:23] ppdet.engine INFO: Epoch: [1] [120/229] learning_rate: 0.399975 loss_vfl: 1.084633 loss_bbox: 0.474934 loss_dfl: 0.261617 loss: 1.803782 eta: 1 day, 18:54:25 batch_cost: 2.1627 data_cost: 0.0032 ips: 29.5930 images/s [10/17 02:40:11] ppdet.engine INFO: Epoch: [1] [140/229] learning_rate: 0.399972 loss_vfl: 1.078423 loss_bbox: 0.446893 loss_dfl: 0.246078 loss: 1.800904 eta: 1 day, 18:50:40 batch_cost: 2.2111 data_cost: 0.0053 ips: 28.9447 images/s [10/17 02:40:58] ppdet.engine INFO: Epoch: [1] [160/229] learning_rate: 0.399968 loss_vfl: 1.071950 loss_bbox: 0.450679 loss_dfl: 0.249539 loss: 1.791809 eta: 1 day, 18:40:23 batch_cost: 2.0939 data_cost: 0.0048 ips: 30.5653 images/s [10/17 02:41:45] ppdet.engine INFO: Epoch: [1] [180/229] learning_rate: 0.399965 loss_vfl: 1.056288 loss_bbox: 0.464157 loss_dfl: 0.250914 loss: 1.749860 eta: 1 day, 18:35:29 batch_cost: 2.1743 data_cost: 0.0050 ips: 29.4345 images/s [10/17 02:42:31] ppdet.engine INFO: Epoch: [1] [200/229] learning_rate: 0.399962 loss_vfl: 1.070394 loss_bbox: 0.423445 loss_dfl: 0.230588 loss: 1.720190 eta: 1 day, 18:29:08 batch_cost: 2.1395 data_cost: 0.0026 ips: 29.9137 images/s [10/17 02:43:10] ppdet.engine INFO: Epoch: [1] [220/229] learning_rate: 0.399958 loss_vfl: 1.066083 loss_bbox: 0.424994 loss_dfl: 0.232759 loss: 1.726250 eta: 1 day, 18:03:50 batch_cost: 1.7545 data_cost: 0.0040 ips: 36.4776 images/s [10/17 02:43:53] ppdet.engine INFO: Epoch: [2] [ 0/229] learning_rate: 0.399956 loss_vfl: 1.049670 loss_bbox: 0.428354 loss_dfl: 0.247121 loss: 1.719866 eta: 1 day, 18:50:51 batch_cost: 2.7671 data_cost: 0.8847 ips: 23.1291 images/s [10/17 02:44:40] ppdet.engine INFO: Epoch: [2] [ 20/229] learning_rate: 0.399952 loss_vfl: 1.034123 loss_bbox: 0.448006 loss_dfl: 0.245471 loss: 1.727778 eta: 1 day, 18:45:37 batch_cost: 2.1660 data_cost: 0.0018 ips: 29.5478 images/s [10/17 02:45:26] ppdet.engine INFO: Epoch: [2] [ 40/229] learning_rate: 0.399948 loss_vfl: 1.033852 loss_bbox: 0.415739 loss_dfl: 0.231719 loss: 1.687040 eta: 1 day, 18:38:25 batch_cost: 2.1147 data_cost: 0.0042 ips: 30.2638 images/s [10/17 02:46:14] ppdet.engine INFO: Epoch: [2] [ 60/229] learning_rate: 0.399944 loss_vfl: 1.043374 loss_bbox: 0.418508 loss_dfl: 0.236964 loss: 1.705336 eta: 1 day, 18:37:00 batch_cost: 2.2357 data_cost: 0.0035 ips: 28.6261 images/s [10/17 02:47:01] ppdet.engine INFO: Epoch: [2] [ 80/229] learning_rate: 0.399939 loss_vfl: 1.050121 loss_bbox: 0.421241 loss_dfl: 0.233177 loss: 1.723351 eta: 1 day, 18:32:27 batch_cost: 2.1601 data_cost: 0.0022 ips: 29.6284 images/s [10/17 02:47:47] ppdet.engine INFO: Epoch: [2] [100/229] learning_rate: 0.399935 loss_vfl: 1.053038 loss_bbox: 0.447184 loss_dfl: 0.256155 loss: 1.759918 eta: 1 day, 18:26:48 batch_cost: 2.1260 data_cost: 0.0047 ips: 30.1035 images/s [10/17 02:48:34] ppdet.engine INFO: Epoch: [2] [120/229] learning_rate: 0.399930 loss_vfl: 1.036805 loss_bbox: 0.447505 loss_dfl: 0.248469 loss: 1.723512 eta: 1 day, 18:22:38 batch_cost: 2.1556 data_cost: 0.0039 ips: 29.6904 images/s [10/17 02:49:21] ppdet.engine INFO: Epoch: [2] [140/229] learning_rate: 0.399925 loss_vfl: 1.032155 loss_bbox: 0.428424 loss_dfl: 0.234679 loss: 1.717660 eta: 1 day, 18:18:10 batch_cost: 2.1411 data_cost: 0.0028 ips: 29.8910 images/s [10/17 02:50:08] ppdet.engine INFO: Epoch: [2] [160/229] learning_rate: 0.399920 loss_vfl: 1.017864 loss_bbox: 0.430705 loss_dfl: 0.237088 loss: 1.699927 eta: 1 day, 18:16:13 batch_cost: 2.2035 data_cost: 0.0026 ips: 29.0441 images/s [10/17 02:50:54] ppdet.engine INFO: Epoch: [2] [180/229] learning_rate: 0.399915 loss_vfl: 1.021499 loss_bbox: 0.410240 loss_dfl: 0.231621 loss: 1.660457 eta: 1 day, 18:10:28 batch_cost: 2.0941 data_cost: 0.0049 ips: 30.5618 images/s [10/17 02:51:40] ppdet.engine INFO: Epoch: [2] [200/229] learning_rate: 0.399909 loss_vfl: 1.033567 loss_bbox: 0.418939 loss_dfl: 0.231209 loss: 1.702594 eta: 1 day, 18:07:54 batch_cost: 2.1778 data_cost: 0.0024 ips: 29.3871 images/s [10/17 02:52:19] ppdet.engine INFO: Epoch: [2] [220/229] learning_rate: 0.399904 loss_vfl: 1.037499 loss_bbox: 0.374757 loss_dfl: 0.219067 loss: 1.621148 eta: 1 day, 17:53:04 batch_cost: 1.8071 data_cost: 0.0034 ips: 35.4163 images/s [10/17 02:53:02] ppdet.engine INFO: Epoch: [3] [ 0/229] learning_rate: 0.399901 loss_vfl: 1.025639 loss_bbox: 0.368136 loss_dfl: 0.214426 loss: 1.611616 eta: 1 day, 18:24:17 batch_cost: 2.7951 data_cost: 0.9470 ips: 22.8969 images/s [10/17 02:53:49] ppdet.engine INFO: Epoch: [3] [ 20/229] learning_rate: 0.399895 loss_vfl: 1.014231 loss_bbox: 0.422653 loss_dfl: 0.236277 loss: 1.646257 eta: 1 day, 18:20:53 batch_cost: 2.1616 data_cost: 0.0078 ips: 29.6071 images/s [10/17 02:54:35] ppdet.engine INFO: Epoch: [3] [ 40/229] learning_rate: 0.399889 loss_vfl: 1.009556 loss_bbox: 0.411708 loss_dfl: 0.236381 loss: 1.669209 eta: 1 day, 18:17:07 batch_cost: 2.1452 data_cost: 0.0036 ips: 29.8335 images/s [10/17 02:55:23] ppdet.engine INFO: Epoch: [3] [ 60/229] learning_rate: 0.399883 loss_vfl: 1.013996 loss_bbox: 0.412141 loss_dfl: 0.241646 loss: 1.679404 eta: 1 day, 18:13:15 batch_cost: 2.1364 data_cost: 0.0038 ips: 29.9568 images/s [10/17 02:56:09] ppdet.engine INFO: Epoch: [3] [ 80/229] learning_rate: 0.399877 loss_vfl: 1.025497 loss_bbox: 0.424954 loss_dfl: 0.240896 loss: 1.686813 eta: 1 day, 18:10:17 batch_cost: 2.1614 data_cost: 0.0039 ips: 29.6104 images/s [10/17 02:56:56] ppdet.engine INFO: Epoch: [3] [100/229] learning_rate: 0.399870 loss_vfl: 1.010331 loss_bbox: 0.422080 loss_dfl: 0.236021 loss: 1.668950 eta: 1 day, 18:06:35 batch_cost: 2.1320 data_cost: 0.0056 ips: 30.0190 images/s [10/17 02:57:44] ppdet.engine INFO: Epoch: [3] [120/229] learning_rate: 0.399864 loss_vfl: 1.009853 loss_bbox: 0.438249 loss_dfl: 0.234095 loss: 1.677183 eta: 1 day, 18:05:16 batch_cost: 2.2114 data_cost: 0.0039 ips: 28.9405 images/s [10/17 02:58:32] ppdet.engine INFO: Epoch: [3] [140/229] learning_rate: 0.399857 loss_vfl: 1.012747 loss_bbox: 0.407843 loss_dfl: 0.233019 loss: 1.657069 eta: 1 day, 18:04:34 batch_cost: 2.2338 data_cost: 0.0032 ips: 28.6513 images/s [10/17 02:59:20] ppdet.engine INFO: Epoch: [3] [160/229] learning_rate: 0.399850 loss_vfl: 1.005165 loss_bbox: 0.386619 loss_dfl: 0.228175 loss: 1.635482 eta: 1 day, 18:03:22 batch_cost: 2.2142 data_cost: 0.0032 ips: 28.9037 images/s [10/17 03:00:07] ppdet.engine INFO: Epoch: [3] [180/229] learning_rate: 0.399843 loss_vfl: 1.020882 loss_bbox: 0.415265 loss_dfl: 0.235754 loss: 1.674995 eta: 1 day, 18:00:48 batch_cost: 2.1614 data_cost: 0.0040 ips: 29.6098 images/s [10/17 03:00:53] ppdet.engine INFO: Epoch: [3] [200/229] learning_rate: 0.399835 loss_vfl: 1.003040 loss_bbox: 0.395327 loss_dfl: 0.227459 loss: 1.627162 eta: 1 day, 17:56:21 batch_cost: 2.0845 data_cost: 0.0033 ips: 30.7030 images/s [10/17 03:01:31] ppdet.engine INFO: Epoch: [3] [220/229] learning_rate: 0.399828 loss_vfl: 0.990516 loss_bbox: 0.402539 loss_dfl: 0.226467 loss: 1.628936 eta: 1 day, 17:44:19 batch_cost: 1.7725 data_cost: 0.0039 ips: 36.1065 images/s [10/17 03:02:15] ppdet.engine INFO: Epoch: [4] [ 0/229] learning_rate: 0.399825 loss_vfl: 0.996185 loss_bbox: 0.377093 loss_dfl: 0.215062 loss: 1.596062 eta: 1 day, 18:08:02 batch_cost: 2.7485 data_cost: 0.9482 ips: 23.2854 images/s [10/17 03:03:01] ppdet.engine INFO: Epoch: [4] [ 20/229] learning_rate: 0.399817 loss_vfl: 0.987342 loss_bbox: 0.405014 loss_dfl: 0.234878 loss: 1.612789 eta: 1 day, 18:04:44 batch_cost: 2.1320 data_cost: 0.0045 ips: 30.0193 images/s [10/17 03:03:49] ppdet.engine INFO: Epoch: [4] [ 40/229] learning_rate: 0.399809 loss_vfl: 1.008073 loss_bbox: 0.386131 loss_dfl: 0.223872 loss: 1.620981 eta: 1 day, 18:03:55 batch_cost: 2.2324 data_cost: 0.0035 ips: 28.6693 images/s [10/17 03:04:36] ppdet.engine INFO: Epoch: [4] [ 60/229] learning_rate: 0.399801 loss_vfl: 0.992221 loss_bbox: 0.400370 loss_dfl: 0.229965 loss: 1.605476 eta: 1 day, 18:00:47 batch_cost: 2.1318 data_cost: 0.0062 ips: 30.0221 images/s [10/17 03:05:24] ppdet.engine INFO: Epoch: [4] [ 80/229] learning_rate: 0.399793 loss_vfl: 1.017843 loss_bbox: 0.370776 loss_dfl: 0.218240 loss: 1.627915 eta: 1 day, 17:58:56 batch_cost: 2.1850 data_cost: 0.0052 ips: 29.2906 images/s [10/17 03:06:10] ppdet.engine INFO: Epoch: [4] [100/229] learning_rate: 0.399784 loss_vfl: 0.980215 loss_bbox: 0.396102 loss_dfl: 0.228068 loss: 1.614160 eta: 1 day, 17:56:00 batch_cost: 2.1332 data_cost: 0.0033 ips: 30.0023 images/s [10/17 03:06:57] ppdet.engine INFO: Epoch: [4] [120/229] learning_rate: 0.399776 loss_vfl: 0.991521 loss_bbox: 0.403669 loss_dfl: 0.228304 loss: 1.642061 eta: 1 day, 17:54:10 batch_cost: 2.1807 data_cost: 0.0066 ips: 29.3479 images/s [10/17 03:07:44] ppdet.engine INFO: Epoch: [4] [140/229] learning_rate: 0.399767 loss_vfl: 1.005857 loss_bbox: 0.393159 loss_dfl: 0.222933 loss: 1.614427 eta: 1 day, 17:51:02 batch_cost: 2.1168 data_cost: 0.0041 ips: 30.2343 images/s [10/17 03:08:31] ppdet.engine INFO: Epoch: [4] [160/229] learning_rate: 0.399758 loss_vfl: 0.995794 loss_bbox: 0.401765 loss_dfl: 0.228143 loss: 1.631571 eta: 1 day, 17:47:57 batch_cost: 2.1159 data_cost: 0.0030 ips: 30.2476 images/s [10/17 03:09:18] ppdet.engine INFO: Epoch: [4] [180/229] learning_rate: 0.399749 loss_vfl: 0.986138 loss_bbox: 0.398681 loss_dfl: 0.237433 loss: 1.655776 eta: 1 day, 17:45:19 batch_cost: 2.1326 data_cost: 0.0018 ips: 30.0100 images/s [10/17 03:10:03] ppdet.engine INFO: Epoch: [4] [200/229] learning_rate: 0.399740 loss_vfl: 0.986252 loss_bbox: 0.383268 loss_dfl: 0.225959 loss: 1.597566 eta: 1 day, 17:42:03 batch_cost: 2.0988 data_cost: 0.0032 ips: 30.4932 images/s [10/17 03:10:41] ppdet.engine INFO: Epoch: [4] [220/229] learning_rate: 0.399730 loss_vfl: 0.982935 loss_bbox: 0.387121 loss_dfl: 0.220945 loss: 1.588152 eta: 1 day, 17:32:06 batch_cost: 1.7563 data_cost: 0.0025 ips: 36.4410 images/s [10/17 03:11:24] ppdet.engine INFO: Epoch: [5] [ 0/229] learning_rate: 0.399726 loss_vfl: 0.966706 loss_bbox: 0.386185 loss_dfl: 0.216843 loss: 1.561011 eta: 1 day, 17:51:12 batch_cost: 2.7587 data_cost: 0.7185 ips: 23.1993 images/s [10/17 03:12:11] ppdet.engine INFO: Epoch: [5] [ 20/229] learning_rate: 0.399716 loss_vfl: 0.984421 loss_bbox: 0.388142 loss_dfl: 0.218752 loss: 1.591827 eta: 1 day, 17:49:41 batch_cost: 2.1903 data_cost: 0.0071 ips: 29.2202 images/s [10/17 03:12:59] ppdet.engine INFO: Epoch: [5] [ 40/229] learning_rate: 0.399706 loss_vfl: 0.972285 loss_bbox: 0.378539 loss_dfl: 0.219415 loss: 1.575995 eta: 1 day, 17:49:08 batch_cost: 2.2399 data_cost: 0.0082 ips: 28.5728 images/s [10/17 03:13:46] ppdet.engine INFO: Epoch: [5] [ 60/229] learning_rate: 0.399696 loss_vfl: 0.962389 loss_bbox: 0.384166 loss_dfl: 0.222120 loss: 1.596092 eta: 1 day, 17:47:31 batch_cost: 2.1828 data_cost: 0.0023 ips: 29.3204 images/s [10/17 03:14:33] ppdet.engine INFO: Epoch: [5] [ 80/229] learning_rate: 0.399686 loss_vfl: 0.956319 loss_bbox: 0.375794 loss_dfl: 0.219175 loss: 1.563125 eta: 1 day, 17:45:46 batch_cost: 2.1742 data_cost: 0.0017 ips: 29.4367 images/s [10/17 03:15:20] ppdet.engine INFO: Epoch: [5] [100/229] learning_rate: 0.399676 loss_vfl: 0.967781 loss_bbox: 0.375602 loss_dfl: 0.213881 loss: 1.584172 eta: 1 day, 17:43:56 batch_cost: 2.1673 data_cost: 0.0039 ips: 29.5299 images/s [10/17 03:16:07] ppdet.engine INFO: Epoch: [5] [120/229] learning_rate: 0.399665 loss_vfl: 0.971751 loss_bbox: 0.393791 loss_dfl: 0.224706 loss: 1.593897 eta: 1 day, 17:42:09 batch_cost: 2.1690 data_cost: 0.0052 ips: 29.5063 images/s [10/17 03:16:54] ppdet.engine INFO: Epoch: [5] [140/229] learning_rate: 0.399655 loss_vfl: 0.976927 loss_bbox: 0.368170 loss_dfl: 0.218860 loss: 1.565359 eta: 1 day, 17:40:25 batch_cost: 2.1691 data_cost: 0.0047 ips: 29.5059 images/s [10/17 03:17:41] ppdet.engine INFO: Epoch: [5] [160/229] learning_rate: 0.399644 loss_vfl: 0.979503 loss_bbox: 0.362023 loss_dfl: 0.215863 loss: 1.584850 eta: 1 day, 17:39:09 batch_cost: 2.1951 data_cost: 0.0070 ips: 29.1564 images/s [10/17 03:18:28] ppdet.engine INFO: Epoch: [5] [180/229] learning_rate: 0.399633 loss_vfl: 0.979317 loss_bbox: 0.389865 loss_dfl: 0.230880 loss: 1.592367 eta: 1 day, 17:37:15 batch_cost: 2.1567 data_cost: 0.0071 ips: 29.6751 images/s [10/17 03:19:14] ppdet.engine INFO: Epoch: [5] [200/229] learning_rate: 0.399622 loss_vfl: 0.976962 loss_bbox: 0.379685 loss_dfl: 0.217323 loss: 1.549318 eta: 1 day, 17:33:57 batch_cost: 2.0710 data_cost: 0.0059 ips: 30.9030 images/s [10/17 03:19:51] ppdet.engine INFO: Epoch: [5] [220/229] learning_rate: 0.399610 loss_vfl: 0.979202 loss_bbox: 0.400200 loss_dfl: 0.231090 loss: 1.625476 eta: 1 day, 17:24:58 batch_cost: 1.7199 data_cost: 0.0035 ips: 37.2123 images/s [10/17 03:20:35] ppdet.engine INFO: Epoch: [6] [ 0/229] learning_rate: 0.399605 loss_vfl: 0.984065 loss_bbox: 0.409112 loss_dfl: 0.236096 loss: 1.641049 eta: 1 day, 17:41:15 batch_cost: 2.7949 data_cost: 0.6692 ips: 22.8992 images/s [10/17 03:21:22] ppdet.engine INFO: Epoch: [6] [ 20/229] learning_rate: 0.399594 loss_vfl: 0.982802 loss_bbox: 0.393878 loss_dfl: 0.226781 loss: 1.590412 eta: 1 day, 17:38:46 batch_cost: 2.1205 data_cost: 0.0039 ips: 30.1819 images/s [10/17 03:22:10] ppdet.engine INFO: Epoch: [6] [ 40/229] learning_rate: 0.399582 loss_vfl: 0.985642 loss_bbox: 0.394983 loss_dfl: 0.232615 loss: 1.603587 eta: 1 day, 17:36:47 batch_cost: 2.1499 data_cost: 0.0049 ips: 29.7694 images/s [10/17 03:22:57] ppdet.engine INFO: Epoch: [6] [ 60/229] learning_rate: 0.399570 loss_vfl: 0.978674 loss_bbox: 0.368463 loss_dfl: 0.227498 loss: 1.579607 eta: 1 day, 17:35:43 batch_cost: 2.2051 data_cost: 0.0058 ips: 29.0230 images/s [10/17 03:23:45] ppdet.engine INFO: Epoch: [6] [ 80/229] learning_rate: 0.399558 loss_vfl: 0.954518 loss_bbox: 0.387895 loss_dfl: 0.222403 loss: 1.550834 eta: 1 day, 17:34:43 batch_cost: 2.2091 data_cost: 0.0086 ips: 28.9708 images/s [10/17 03:24:32] ppdet.engine INFO: Epoch: [6] [100/229] learning_rate: 0.399546 loss_vfl: 0.959272 loss_bbox: 0.395213 loss_dfl: 0.224698 loss: 1.592180 eta: 1 day, 17:32:55 batch_cost: 2.1564 data_cost: 0.0043 ips: 29.6796 images/s [10/17 03:25:19] ppdet.engine INFO: Epoch: [6] [120/229] learning_rate: 0.399533 loss_vfl: 0.966929 loss_bbox: 0.392536 loss_dfl: 0.224228 loss: 1.599259 eta: 1 day, 17:31:13 batch_cost: 2.1613 data_cost: 0.0090 ips: 29.6114 images/s [10/17 03:26:07] ppdet.engine INFO: Epoch: [6] [140/229] learning_rate: 0.399521 loss_vfl: 0.946957 loss_bbox: 0.374159 loss_dfl: 0.216379 loss: 1.545859 eta: 1 day, 17:30:17 batch_cost: 2.2113 data_cost: 0.0090 ips: 28.9424 images/s [10/17 03:26:54] ppdet.engine INFO: Epoch: [6] [160/229] learning_rate: 0.399508 loss_vfl: 0.956879 loss_bbox: 0.404420 loss_dfl: 0.233507 loss: 1.599626 eta: 1 day, 17:29:03 batch_cost: 2.1897 data_cost: 0.0036 ips: 29.2281 images/s [10/17 03:27:40] ppdet.engine INFO: Epoch: [6] [180/229] learning_rate: 0.399495 loss_vfl: 0.979319 loss_bbox: 0.399160 loss_dfl: 0.229856 loss: 1.593361 eta: 1 day, 17:26:30 batch_cost: 2.0976 data_cost: 0.0066 ips: 30.5109 images/s [10/17 03:28:27] ppdet.engine INFO: Epoch: [6] [200/229] learning_rate: 0.399482 loss_vfl: 0.978398 loss_bbox: 0.391356 loss_dfl: 0.223919 loss: 1.584956 eta: 1 day, 17:24:04 batch_cost: 2.1038 data_cost: 0.0028 ips: 30.4216 images/s [10/17 03:29:05] ppdet.engine INFO: Epoch: [6] [220/229] learning_rate: 0.399469 loss_vfl: 0.965149 loss_bbox: 0.347628 loss_dfl: 0.207472 loss: 1.522805 eta: 1 day, 17:16:10 batch_cost: 1.7088 data_cost: 0.0023 ips: 37.4532 images/s [10/17 03:29:46] ppdet.engine INFO: Epoch: [7] [ 0/229] learning_rate: 0.399463 loss_vfl: 0.966738 loss_bbox: 0.349610 loss_dfl: 0.214960 loss: 1.531311 eta: 1 day, 17:27:56 batch_cost: 2.6423 data_cost: 0.8397 ips: 24.2211 images/s [10/17 03:30:35] ppdet.engine INFO: Epoch: [7] [ 20/229] learning_rate: 0.399449 loss_vfl: 0.963771 loss_bbox: 0.374473 loss_dfl: 0.223845 loss: 1.565209 eta: 1 day, 17:27:35 batch_cost: 2.2542 data_cost: 0.0042 ips: 28.3917 images/s [10/17 03:31:22] ppdet.engine INFO: Epoch: [7] [ 40/229] learning_rate: 0.399436 loss_vfl: 0.963795 loss_bbox: 0.391688 loss_dfl: 0.232126 loss: 1.576757 eta: 1 day, 17:26:17 batch_cost: 2.1840 data_cost: 0.0034 ips: 29.3038 images/s [10/17 03:32:11] ppdet.engine INFO: Epoch: [7] [ 60/229] learning_rate: 0.399422 loss_vfl: 0.963008 loss_bbox: 0.387989 loss_dfl: 0.224222 loss: 1.594501 eta: 1 day, 17:25:37 batch_cost: 2.2303 data_cost: 0.0030 ips: 28.6955 images/s [10/17 03:32:57] ppdet.engine INFO: Epoch: [7] [ 80/229] learning_rate: 0.399408 loss_vfl: 0.961568 loss_bbox: 0.375809 loss_dfl: 0.222396 loss: 1.557089 eta: 1 day, 17:24:05 batch_cost: 2.1642 data_cost: 0.0022 ips: 29.5724 images/s [10/17 03:33:44] ppdet.engine INFO: Epoch: [7] [100/229] learning_rate: 0.399394 loss_vfl: 0.933527 loss_bbox: 0.388428 loss_dfl: 0.222463 loss: 1.562915 eta: 1 day, 17:22:48 batch_cost: 2.1834 data_cost: 0.0074 ips: 29.3117 images/s [10/17 03:34:31] ppdet.engine INFO: Epoch: [7] [120/229] learning_rate: 0.399380 loss_vfl: 0.947446 loss_bbox: 0.415117 loss_dfl: 0.234037 loss: 1.576565 eta: 1 day, 17:21:12 batch_cost: 2.1562 data_cost: 0.0038 ips: 29.6813 images/s [10/17 03:35:18] ppdet.engine INFO: Epoch: [7] [140/229] learning_rate: 0.399365 loss_vfl: 0.943198 loss_bbox: 0.397160 loss_dfl: 0.227614 loss: 1.558051 eta: 1 day, 17:20:01 batch_cost: 2.1883 data_cost: 0.0033 ips: 29.2462 images/s [10/17 03:36:05] ppdet.engine INFO: Epoch: [7] [160/229] learning_rate: 0.399350 loss_vfl: 0.953560 loss_bbox: 0.374575 loss_dfl: 0.214927 loss: 1.530872 eta: 1 day, 17:18:50 batch_cost: 2.1871 data_cost: 0.0043 ips: 29.2622 images/s [10/17 03:36:52] ppdet.engine INFO: Epoch: [7] [180/229] learning_rate: 0.399336 loss_vfl: 0.973746 loss_bbox: 0.371135 loss_dfl: 0.213112 loss: 1.547023 eta: 1 day, 17:17:57 batch_cost: 2.2107 data_cost: 0.0041 ips: 28.9506 images/s [10/17 03:37:37] ppdet.engine INFO: Epoch: [7] [200/229] learning_rate: 0.399321 loss_vfl: 0.944856 loss_bbox: 0.397207 loss_dfl: 0.222787 loss: 1.576014 eta: 1 day, 17:16:01 batch_cost: 2.1263 data_cost: 0.0044 ips: 30.0987 images/s [10/17 03:38:15] ppdet.engine INFO: Epoch: [7] [220/229] learning_rate: 0.399305 loss_vfl: 0.956632 loss_bbox: 0.376224 loss_dfl: 0.214008 loss: 1.547299 eta: 1 day, 17:09:25 batch_cost: 1.7402 data_cost: 0.0021 ips: 36.7773 images/s [10/17 03:38:57] ppdet.engine INFO: Epoch: [8] [ 0/229] learning_rate: 0.399299 loss_vfl: 0.948954 loss_bbox: 0.405189 loss_dfl: 0.227669 loss: 1.573200 eta: 1 day, 17:20:07 batch_cost: 2.6957 data_cost: 0.7311 ips: 23.7415 images/s [10/17 03:39:46] ppdet.engine INFO: Epoch: [8] [ 20/229] learning_rate: 0.399283 loss_vfl: 0.950811 loss_bbox: 0.400544 loss_dfl: 0.225158 loss: 1.594425 eta: 1 day, 17:19:38 batch_cost: 2.2465 data_cost: 0.0033 ips: 28.4882 images/s [10/17 03:40:33] ppdet.engine INFO: Epoch: [8] [ 40/229] learning_rate: 0.399268 loss_vfl: 0.939816 loss_bbox: 0.365319 loss_dfl: 0.215688 loss: 1.547332 eta: 1 day, 17:18:20 batch_cost: 2.1789 data_cost: 0.0031 ips: 29.3730 images/s [10/17 03:41:19] ppdet.engine INFO: Epoch: [8] [ 60/229] learning_rate: 0.399252 loss_vfl: 0.944575 loss_bbox: 0.380667 loss_dfl: 0.219231 loss: 1.562990 eta: 1 day, 17:16:49 batch_cost: 2.1602 data_cost: 0.0029 ips: 29.6275 images/s [10/17 03:42:07] ppdet.engine INFO: Epoch: [8] [ 80/229] learning_rate: 0.399236 loss_vfl: 0.921121 loss_bbox: 0.390300 loss_dfl: 0.221847 loss: 1.534299 eta: 1 day, 17:15:21 batch_cost: 2.1614 data_cost: 0.0051 ips: 29.6105 images/s [10/17 03:42:53] ppdet.engine INFO: Epoch: [8] [100/229] learning_rate: 0.399220 loss_vfl: 0.970104 loss_bbox: 0.374145 loss_dfl: 0.224027 loss: 1.562605 eta: 1 day, 17:13:57 batch_cost: 2.1671 data_cost: 0.0022 ips: 29.5325 images/s [10/17 03:43:40] ppdet.engine INFO: Epoch: [8] [120/229] learning_rate: 0.399204 loss_vfl: 0.935046 loss_bbox: 0.371085 loss_dfl: 0.221433 loss: 1.542217 eta: 1 day, 17:12:33 batch_cost: 2.1649 data_cost: 0.0034 ips: 29.5631 images/s [10/17 03:44:27] ppdet.engine INFO: Epoch: [8] [140/229] learning_rate: 0.399187 loss_vfl: 0.936291 loss_bbox: 0.355947 loss_dfl: 0.211572 loss: 1.526344 eta: 1 day, 17:11:26 batch_cost: 2.1896 data_cost: 0.0059 ips: 29.2289 images/s [10/17 03:45:13] ppdet.engine INFO: Epoch: [8] [160/229] learning_rate: 0.399171 loss_vfl: 0.930738 loss_bbox: 0.373146 loss_dfl: 0.216577 loss: 1.530853 eta: 1 day, 17:09:54 batch_cost: 2.1510 data_cost: 0.0065 ips: 29.7539 images/s [10/17 03:45:59] ppdet.engine INFO: Epoch: [8] [180/229] learning_rate: 0.399154 loss_vfl: 0.947970 loss_bbox: 0.392171 loss_dfl: 0.221071 loss: 1.572278 eta: 1 day, 17:08:02 batch_cost: 2.1199 data_cost: 0.0021 ips: 30.1899 images/s [10/17 03:46:45] ppdet.engine INFO: Epoch: [8] [200/229] learning_rate: 0.399137 loss_vfl: 0.943126 loss_bbox: 0.381640 loss_dfl: 0.221258 loss: 1.570632 eta: 1 day, 17:06:02 batch_cost: 2.1050 data_cost: 0.0027 ips: 30.4034 images/s [10/17 03:47:24] ppdet.engine INFO: Epoch: [8] [220/229] learning_rate: 0.399120 loss_vfl: 0.967983 loss_bbox: 0.385195 loss_dfl: 0.229949 loss: 1.587493 eta: 1 day, 17:00:42 batch_cost: 1.7941 data_cost: 0.0015 ips: 35.6725 images/s [10/17 03:48:07] ppdet.engine INFO: Epoch: [9] [ 0/229] learning_rate: 0.399112 loss_vfl: 0.957783 loss_bbox: 0.374317 loss_dfl: 0.224474 loss: 1.565140 eta: 1 day, 17:10:41 batch_cost: 2.7821 data_cost: 0.6753 ips: 23.0040 images/s [10/17 03:48:55] ppdet.engine INFO: Epoch: [9] [ 20/229] learning_rate: 0.399095 loss_vfl: 0.945020 loss_bbox: 0.381151 loss_dfl: 0.220394 loss: 1.544384 eta: 1 day, 17:09:48 batch_cost: 2.2110 data_cost: 0.0039 ips: 28.9458 images/s [10/17 03:49:42] ppdet.engine INFO: Epoch: [9] [ 40/229] learning_rate: 0.399078 loss_vfl: 0.941520 loss_bbox: 0.367276 loss_dfl: 0.216662 loss: 1.551687 eta: 1 day, 17:08:33 batch_cost: 2.1767 data_cost: 0.0024 ips: 29.4019 images/s [10/17 03:50:29] ppdet.engine INFO: Epoch: [9] [ 60/229] learning_rate: 0.399060 loss_vfl: 0.931116 loss_bbox: 0.361974 loss_dfl: 0.217455 loss: 1.529564 eta: 1 day, 17:07:03 batch_cost: 2.1507 data_cost: 0.0018 ips: 29.7571 images/s [10/17 03:51:17] ppdet.engine INFO: Epoch: [9] [ 80/229] learning_rate: 0.399042 loss_vfl: 0.954850 loss_bbox: 0.358030 loss_dfl: 0.218544 loss: 1.517769 eta: 1 day, 17:06:19 batch_cost: 2.2248 data_cost: 0.0036 ips: 28.7665 images/s [10/17 03:52:04] ppdet.engine INFO: Epoch: [9] [100/229] learning_rate: 0.399024 loss_vfl: 0.964485 loss_bbox: 0.353602 loss_dfl: 0.212369 loss: 1.532431 eta: 1 day, 17:05:07 batch_cost: 2.1784 data_cost: 0.0035 ips: 29.3789 images/s [10/17 03:52:50] ppdet.engine INFO: Epoch: [9] [120/229] learning_rate: 0.399006 loss_vfl: 0.946635 loss_bbox: 0.376198 loss_dfl: 0.220683 loss: 1.536140 eta: 1 day, 17:03:05 batch_cost: 2.0945 data_cost: 0.0039 ips: 30.5559 images/s [10/17 03:53:38] ppdet.engine INFO: Epoch: [9] [140/229] learning_rate: 0.398988 loss_vfl: 0.946450 loss_bbox: 0.386307 loss_dfl: 0.219585 loss: 1.539852 eta: 1 day, 17:02:07 batch_cost: 2.1997 data_cost: 0.0022 ips: 29.0954 images/s [10/17 03:54:24] ppdet.engine INFO: Epoch: [9] [160/229] learning_rate: 0.398969 loss_vfl: 0.931137 loss_bbox: 0.373712 loss_dfl: 0.226289 loss: 1.531789 eta: 1 day, 17:01:05 batch_cost: 2.1921 data_cost: 0.0015 ips: 29.1953 images/s [10/17 03:55:11] ppdet.engine INFO: Epoch: [9] [180/229] learning_rate: 0.398951 loss_vfl: 0.931491 loss_bbox: 0.376055 loss_dfl: 0.217425 loss: 1.532317 eta: 1 day, 16:59:30 batch_cost: 2.1367 data_cost: 0.0056 ips: 29.9532 images/s [10/17 03:55:57] ppdet.engine INFO: Epoch: [9] [200/229] learning_rate: 0.398932 loss_vfl: 0.935511 loss_bbox: 0.381333 loss_dfl: 0.226161 loss: 1.551666 eta: 1 day, 16:57:49 batch_cost: 2.1234 data_cost: 0.0040 ips: 30.1404 images/s [10/17 03:56:35] ppdet.engine INFO: Epoch: [9] [220/229] learning_rate: 0.398913 loss_vfl: 0.951003 loss_bbox: 0.389027 loss_dfl: 0.216768 loss: 1.539360 eta: 1 day, 16:52:40 batch_cost: 1.7644 data_cost: 0.0014 ips: 36.2733 images/s [10/17 03:56:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco loading annotations into memory... Done (t=1.15s) creating index... index created! loading annotations into memory... Done (t=2.53s) creating index... index created! [10/17 03:57:08] ppdet.engine INFO: Eval iter: 0 [10/17 03:57:35] ppdet.engine INFO: Eval iter: 100 [10/17 03:57:52] ppdet.engine INFO: Eval iter: 200 [10/17 03:58:09] ppdet.engine INFO: Eval iter: 300 [10/17 03:58:25] ppdet.engine INFO: Eval iter: 400 [10/17 03:58:42] ppdet.engine INFO: Eval iter: 500 [10/17 03:58:58] ppdet.engine INFO: Eval iter: 600 [10/17 03:59:10] 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 03:59:11] 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=61.77s). Accumulating evaluation results... DONE (t=11.86s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.212 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.339 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.218 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.055 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.207 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.381 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.218 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.344 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.366 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.393 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.622 [10/17 04:00:31] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.60269360555237 [10/17 04:00:31] ppdet.engine INFO: Best test bbox ap is 0.212. [10/17 04:00:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 04:00:32] ppdet.engine INFO: Epoch: [10] [ 0/229] learning_rate: 0.398904 loss_vfl: 0.951052 loss_bbox: 0.360495 loss_dfl: 0.212907 loss: 1.558586 eta: 1 day, 16:47:25 batch_cost: 1.2887 data_cost: 0.0012 ips: 49.6641 images/s [10/17 04:01:19] ppdet.engine INFO: Epoch: [10] [ 20/229] learning_rate: 0.398885 loss_vfl: 0.953713 loss_bbox: 0.390536 loss_dfl: 0.225622 loss: 1.537686 eta: 1 day, 16:46:16 batch_cost: 2.1692 data_cost: 0.0019 ips: 29.5036 images/s [10/17 04:02:06] ppdet.engine INFO: Epoch: [10] [ 40/229] learning_rate: 0.398866 loss_vfl: 0.910394 loss_bbox: 0.397548 loss_dfl: 0.219975 loss: 1.527409 eta: 1 day, 16:45:19 batch_cost: 2.1875 data_cost: 0.0064 ips: 29.2578 images/s [10/17 04:02:53] ppdet.engine INFO: Epoch: [10] [ 60/229] learning_rate: 0.398846 loss_vfl: 0.943572 loss_bbox: 0.388490 loss_dfl: 0.234160 loss: 1.567091 eta: 1 day, 16:43:59 batch_cost: 2.1479 data_cost: 0.0031 ips: 29.7963 images/s [10/17 04:03:40] ppdet.engine INFO: Epoch: [10] [ 80/229] learning_rate: 0.398827 loss_vfl: 0.933814 loss_bbox: 0.377944 loss_dfl: 0.220442 loss: 1.537359 eta: 1 day, 16:42:56 batch_cost: 2.1770 data_cost: 0.0033 ips: 29.3989 images/s [10/17 04:04:27] ppdet.engine INFO: Epoch: [10] [100/229] learning_rate: 0.398807 loss_vfl: 0.928047 loss_bbox: 0.358503 loss_dfl: 0.213916 loss: 1.505191 eta: 1 day, 16:41:40 batch_cost: 2.1522 data_cost: 0.0094 ips: 29.7374 images/s [10/17 04:05:13] ppdet.engine INFO: Epoch: [10] [120/229] learning_rate: 0.398787 loss_vfl: 0.950243 loss_bbox: 0.381524 loss_dfl: 0.224459 loss: 1.566055 eta: 1 day, 16:40:32 batch_cost: 2.1662 data_cost: 0.0052 ips: 29.5443 images/s [10/17 04:06:00] ppdet.engine INFO: Epoch: [10] [140/229] learning_rate: 0.398766 loss_vfl: 0.940986 loss_bbox: 0.372117 loss_dfl: 0.213546 loss: 1.531363 eta: 1 day, 16:39:31 batch_cost: 2.1765 data_cost: 0.0047 ips: 29.4046 images/s [10/17 04:06:49] ppdet.engine INFO: Epoch: [10] [160/229] learning_rate: 0.398746 loss_vfl: 0.927765 loss_bbox: 0.389158 loss_dfl: 0.227049 loss: 1.540787 eta: 1 day, 16:39:00 batch_cost: 2.2345 data_cost: 0.0037 ips: 28.6418 images/s [10/17 04:07:35] ppdet.engine INFO: Epoch: [10] [180/229] learning_rate: 0.398726 loss_vfl: 0.949150 loss_bbox: 0.383184 loss_dfl: 0.222575 loss: 1.561641 eta: 1 day, 16:37:41 batch_cost: 2.1432 data_cost: 0.0023 ips: 29.8622 images/s [10/17 04:08:21] ppdet.engine INFO: Epoch: [10] [200/229] learning_rate: 0.398705 loss_vfl: 0.944578 loss_bbox: 0.360733 loss_dfl: 0.219047 loss: 1.523643 eta: 1 day, 16:36:16 batch_cost: 2.1323 data_cost: 0.0027 ips: 30.0140 images/s [10/17 04:09:00] ppdet.engine INFO: Epoch: [10] [220/229] learning_rate: 0.398684 loss_vfl: 0.946059 loss_bbox: 0.365979 loss_dfl: 0.205349 loss: 1.500347 eta: 1 day, 16:32:10 batch_cost: 1.8248 data_cost: 0.0035 ips: 35.0715 images/s [10/17 04:09:42] ppdet.engine INFO: Epoch: [11] [ 0/229] learning_rate: 0.398675 loss_vfl: 0.950066 loss_bbox: 0.359422 loss_dfl: 0.205349 loss: 1.530670 eta: 1 day, 16:39:45 batch_cost: 2.7140 data_cost: 0.7352 ips: 23.5810 images/s [10/17 04:10:31] ppdet.engine INFO: Epoch: [11] [ 20/229] learning_rate: 0.398653 loss_vfl: 0.949691 loss_bbox: 0.371637 loss_dfl: 0.214319 loss: 1.521424 eta: 1 day, 16:39:24 batch_cost: 2.2552 data_cost: 0.0039 ips: 28.3786 images/s [10/17 04:11:19] ppdet.engine INFO: Epoch: [11] [ 40/229] learning_rate: 0.398632 loss_vfl: 0.930773 loss_bbox: 0.366422 loss_dfl: 0.219526 loss: 1.514239 eta: 1 day, 16:39:03 batch_cost: 2.2579 data_cost: 0.0032 ips: 28.3451 images/s [10/17 04:12:06] ppdet.engine INFO: Epoch: [11] [ 60/229] learning_rate: 0.398611 loss_vfl: 0.940970 loss_bbox: 0.384944 loss_dfl: 0.231365 loss: 1.559663 eta: 1 day, 16:38:16 batch_cost: 2.2080 data_cost: 0.0025 ips: 28.9852 images/s [10/17 04:12:54] ppdet.engine INFO: Epoch: [11] [ 80/229] learning_rate: 0.398589 loss_vfl: 0.944580 loss_bbox: 0.377525 loss_dfl: 0.224241 loss: 1.538329 eta: 1 day, 16:37:39 batch_cost: 2.2253 data_cost: 0.0029 ips: 28.7607 images/s [10/17 04:13:40] ppdet.engine INFO: Epoch: [11] [100/229] learning_rate: 0.398567 loss_vfl: 0.954188 loss_bbox: 0.374598 loss_dfl: 0.225518 loss: 1.554156 eta: 1 day, 16:36:08 batch_cost: 2.1212 data_cost: 0.0023 ips: 30.1719 images/s [10/17 04:14:26] ppdet.engine INFO: Epoch: [11] [120/229] learning_rate: 0.398545 loss_vfl: 0.932463 loss_bbox: 0.376295 loss_dfl: 0.227282 loss: 1.543112 eta: 1 day, 16:34:56 batch_cost: 2.1568 data_cost: 0.0018 ips: 29.6739 images/s [10/17 04:15:13] ppdet.engine INFO: Epoch: [11] [140/229] learning_rate: 0.398523 loss_vfl: 0.943582 loss_bbox: 0.357850 loss_dfl: 0.204777 loss: 1.515971 eta: 1 day, 16:33:54 batch_cost: 2.1761 data_cost: 0.0036 ips: 29.4103 images/s [10/17 04:16:01] ppdet.engine INFO: Epoch: [11] [160/229] learning_rate: 0.398501 loss_vfl: 0.927949 loss_bbox: 0.370124 loss_dfl: 0.216189 loss: 1.535601 eta: 1 day, 16:33:22 batch_cost: 2.2357 data_cost: 0.0030 ips: 28.6263 images/s [10/17 04:16:47] ppdet.engine INFO: Epoch: [11] [180/229] learning_rate: 0.398479 loss_vfl: 0.947045 loss_bbox: 0.360697 loss_dfl: 0.213182 loss: 1.532254 eta: 1 day, 16:32:10 batch_cost: 2.1539 data_cost: 0.0057 ips: 29.7129 images/s [10/17 04:17:32] ppdet.engine INFO: Epoch: [11] [200/229] learning_rate: 0.398456 loss_vfl: 0.941119 loss_bbox: 0.386007 loss_dfl: 0.221180 loss: 1.544644 eta: 1 day, 16:30:39 batch_cost: 2.1138 data_cost: 0.0035 ips: 30.2779 images/s [10/17 04:18:11] ppdet.engine INFO: Epoch: [11] [220/229] learning_rate: 0.398433 loss_vfl: 0.934560 loss_bbox: 0.352729 loss_dfl: 0.212099 loss: 1.548078 eta: 1 day, 16:26:15 batch_cost: 1.7553 data_cost: 0.0019 ips: 36.4611 images/s [10/17 04:18:54] ppdet.engine INFO: Epoch: [12] [ 0/229] learning_rate: 0.398423 loss_vfl: 0.940710 loss_bbox: 0.362264 loss_dfl: 0.222146 loss: 1.556754 eta: 1 day, 16:33:24 batch_cost: 2.7087 data_cost: 0.8475 ips: 23.6274 images/s [10/17 04:19:42] ppdet.engine INFO: Epoch: [12] [ 20/229] learning_rate: 0.398400 loss_vfl: 0.936294 loss_bbox: 0.383498 loss_dfl: 0.225144 loss: 1.548800 eta: 1 day, 16:32:51 batch_cost: 2.2375 data_cost: 0.0037 ips: 28.6040 images/s [10/17 04:20:30] ppdet.engine INFO: Epoch: [12] [ 40/229] learning_rate: 0.398377 loss_vfl: 0.914292 loss_bbox: 0.363802 loss_dfl: 0.206413 loss: 1.497545 eta: 1 day, 16:32:11 batch_cost: 2.2226 data_cost: 0.0041 ips: 28.7945 images/s [10/17 04:21:16] ppdet.engine INFO: Epoch: [12] [ 60/229] learning_rate: 0.398353 loss_vfl: 0.928571 loss_bbox: 0.349404 loss_dfl: 0.210191 loss: 1.489451 eta: 1 day, 16:30:45 batch_cost: 2.1259 data_cost: 0.0021 ips: 30.1046 images/s [10/17 04:22:03] ppdet.engine INFO: Epoch: [12] [ 80/229] learning_rate: 0.398330 loss_vfl: 0.927030 loss_bbox: 0.366307 loss_dfl: 0.212315 loss: 1.515516 eta: 1 day, 16:29:41 batch_cost: 2.1719 data_cost: 0.0052 ips: 29.4677 images/s [10/17 04:22:49] ppdet.engine INFO: Epoch: [12] [100/229] learning_rate: 0.398306 loss_vfl: 0.928612 loss_bbox: 0.357445 loss_dfl: 0.216844 loss: 1.497368 eta: 1 day, 16:28:20 batch_cost: 2.1332 data_cost: 0.0035 ips: 30.0023 images/s [10/17 04:23:36] ppdet.engine INFO: Epoch: [12] [120/229] learning_rate: 0.398282 loss_vfl: 0.942215 loss_bbox: 0.375921 loss_dfl: 0.218974 loss: 1.522501 eta: 1 day, 16:27:40 batch_cost: 2.2210 data_cost: 0.0050 ips: 28.8154 images/s [10/17 04:24:23] ppdet.engine INFO: Epoch: [12] [140/229] learning_rate: 0.398258 loss_vfl: 0.921078 loss_bbox: 0.356692 loss_dfl: 0.210402 loss: 1.516752 eta: 1 day, 16:26:28 batch_cost: 2.1513 data_cost: 0.0033 ips: 29.7500 images/s [10/17 04:25:11] ppdet.engine INFO: Epoch: [12] [160/229] learning_rate: 0.398234 loss_vfl: 0.929733 loss_bbox: 0.372529 loss_dfl: 0.219837 loss: 1.522772 eta: 1 day, 16:25:45 batch_cost: 2.2158 data_cost: 0.0046 ips: 28.8839 images/s [10/17 04:25:58] ppdet.engine INFO: Epoch: [12] [180/229] learning_rate: 0.398210 loss_vfl: 0.934550 loss_bbox: 0.379214 loss_dfl: 0.229230 loss: 1.553852 eta: 1 day, 16:24:42 batch_cost: 2.1701 data_cost: 0.0036 ips: 29.4913 images/s [10/17 04:26:44] ppdet.engine INFO: Epoch: [12] [200/229] learning_rate: 0.398185 loss_vfl: 0.929050 loss_bbox: 0.348801 loss_dfl: 0.205746 loss: 1.488736 eta: 1 day, 16:23:34 batch_cost: 2.1588 data_cost: 0.0087 ips: 29.6465 images/s [10/17 04:27:22] ppdet.engine INFO: Epoch: [12] [220/229] learning_rate: 0.398161 loss_vfl: 0.936038 loss_bbox: 0.347824 loss_dfl: 0.211052 loss: 1.533812 eta: 1 day, 16:19:25 batch_cost: 1.7492 data_cost: 0.0015 ips: 36.5875 images/s [10/17 04:28:04] ppdet.engine INFO: Epoch: [13] [ 0/229] learning_rate: 0.398150 loss_vfl: 0.941940 loss_bbox: 0.350974 loss_dfl: 0.220566 loss: 1.537289 eta: 1 day, 16:25:35 batch_cost: 2.6544 data_cost: 0.9255 ips: 24.1113 images/s [10/17 04:28:52] ppdet.engine INFO: Epoch: [13] [ 20/229] learning_rate: 0.398125 loss_vfl: 0.919820 loss_bbox: 0.366548 loss_dfl: 0.214682 loss: 1.497108 eta: 1 day, 16:24:52 batch_cost: 2.2162 data_cost: 0.0046 ips: 28.8779 images/s [10/17 04:29:39] ppdet.engine INFO: Epoch: [13] [ 40/229] learning_rate: 0.398100 loss_vfl: 0.923821 loss_bbox: 0.361314 loss_dfl: 0.214127 loss: 1.512672 eta: 1 day, 16:23:48 batch_cost: 2.1687 data_cost: 0.0041 ips: 29.5111 images/s [10/17 04:30:27] ppdet.engine INFO: Epoch: [13] [ 60/229] learning_rate: 0.398074 loss_vfl: 0.920985 loss_bbox: 0.378616 loss_dfl: 0.219841 loss: 1.522932 eta: 1 day, 16:23:17 batch_cost: 2.2454 data_cost: 0.0058 ips: 28.5023 images/s [10/17 04:31:15] ppdet.engine INFO: Epoch: [13] [ 80/229] learning_rate: 0.398049 loss_vfl: 0.926422 loss_bbox: 0.365360 loss_dfl: 0.212563 loss: 1.500051 eta: 1 day, 16:22:30 batch_cost: 2.2075 data_cost: 0.0034 ips: 28.9919 images/s [10/17 04:32:03] ppdet.engine INFO: Epoch: [13] [100/229] learning_rate: 0.398023 loss_vfl: 0.938364 loss_bbox: 0.356497 loss_dfl: 0.216211 loss: 1.532780 eta: 1 day, 16:21:17 batch_cost: 2.1480 data_cost: 0.0058 ips: 29.7948 images/s [10/17 04:32:49] ppdet.engine INFO: Epoch: [13] [120/229] learning_rate: 0.397998 loss_vfl: 0.918694 loss_bbox: 0.360477 loss_dfl: 0.213502 loss: 1.508118 eta: 1 day, 16:19:56 batch_cost: 2.1267 data_cost: 0.0039 ips: 30.0932 images/s [10/17 04:33:36] ppdet.engine INFO: Epoch: [13] [140/229] learning_rate: 0.397972 loss_vfl: 0.947698 loss_bbox: 0.345535 loss_dfl: 0.210392 loss: 1.502795 eta: 1 day, 16:19:13 batch_cost: 2.2169 data_cost: 0.0038 ips: 28.8688 images/s [10/17 04:34:23] ppdet.engine INFO: Epoch: [13] [160/229] learning_rate: 0.397946 loss_vfl: 0.910342 loss_bbox: 0.360086 loss_dfl: 0.216189 loss: 1.509178 eta: 1 day, 16:18:11 batch_cost: 2.1701 data_cost: 0.0051 ips: 29.4920 images/s [10/17 04:35:09] ppdet.engine INFO: Epoch: [13] [180/229] learning_rate: 0.397919 loss_vfl: 0.937072 loss_bbox: 0.355897 loss_dfl: 0.212482 loss: 1.513956 eta: 1 day, 16:17:04 batch_cost: 2.1577 data_cost: 0.0021 ips: 29.6616 images/s [10/17 04:35:55] ppdet.engine INFO: Epoch: [13] [200/229] learning_rate: 0.397893 loss_vfl: 0.935910 loss_bbox: 0.349942 loss_dfl: 0.215589 loss: 1.510005 eta: 1 day, 16:15:47 batch_cost: 2.1343 data_cost: 0.0044 ips: 29.9869 images/s [10/17 04:36:33] ppdet.engine INFO: Epoch: [13] [220/229] learning_rate: 0.397866 loss_vfl: 0.931815 loss_bbox: 0.358420 loss_dfl: 0.209995 loss: 1.500135 eta: 1 day, 16:11:54 batch_cost: 1.7501 data_cost: 0.0038 ips: 36.5687 images/s [10/17 04:37:13] ppdet.engine INFO: Epoch: [14] [ 0/229] learning_rate: 0.397854 loss_vfl: 0.912976 loss_bbox: 0.364305 loss_dfl: 0.213366 loss: 1.497185 eta: 1 day, 16:17:16 batch_cost: 2.6036 data_cost: 0.8573 ips: 24.5816 images/s [10/17 04:38:02] ppdet.engine INFO: Epoch: [14] [ 20/229] learning_rate: 0.397828 loss_vfl: 0.916156 loss_bbox: 0.367956 loss_dfl: 0.214710 loss: 1.525770 eta: 1 day, 16:16:44 batch_cost: 2.2460 data_cost: 0.0017 ips: 28.4956 images/s [10/17 04:38:50] ppdet.engine INFO: Epoch: [14] [ 40/229] learning_rate: 0.397801 loss_vfl: 0.926297 loss_bbox: 0.373969 loss_dfl: 0.216350 loss: 1.520738 eta: 1 day, 16:16:17 batch_cost: 2.2576 data_cost: 0.0039 ips: 28.3491 images/s [10/17 04:39:38] ppdet.engine INFO: Epoch: [14] [ 60/229] learning_rate: 0.397774 loss_vfl: 0.926882 loss_bbox: 0.352792 loss_dfl: 0.216386 loss: 1.490046 eta: 1 day, 16:15:34 batch_cost: 2.2162 data_cost: 0.0047 ips: 28.8785 images/s [10/17 04:40:24] ppdet.engine INFO: Epoch: [14] [ 80/229] learning_rate: 0.397746 loss_vfl: 0.913778 loss_bbox: 0.363605 loss_dfl: 0.222784 loss: 1.514921 eta: 1 day, 16:14:16 batch_cost: 2.1305 data_cost: 0.0039 ips: 30.0405 images/s [10/17 04:41:12] ppdet.engine INFO: Epoch: [14] [100/229] learning_rate: 0.397719 loss_vfl: 0.928867 loss_bbox: 0.351889 loss_dfl: 0.217236 loss: 1.491145 eta: 1 day, 16:13:28 batch_cost: 2.2064 data_cost: 0.0042 ips: 29.0066 images/s [10/17 04:41:59] ppdet.engine INFO: Epoch: [14] [120/229] learning_rate: 0.397691 loss_vfl: 0.922375 loss_bbox: 0.355446 loss_dfl: 0.208912 loss: 1.482527 eta: 1 day, 16:12:26 batch_cost: 2.1695 data_cost: 0.0070 ips: 29.5002 images/s [10/17 04:42:46] ppdet.engine INFO: Epoch: [14] [140/229] learning_rate: 0.397663 loss_vfl: 0.929989 loss_bbox: 0.343912 loss_dfl: 0.212839 loss: 1.508960 eta: 1 day, 16:11:34 batch_cost: 2.1933 data_cost: 0.0018 ips: 29.1797 images/s [10/17 04:43:33] ppdet.engine INFO: Epoch: [14] [160/229] learning_rate: 0.397635 loss_vfl: 0.937825 loss_bbox: 0.364049 loss_dfl: 0.224579 loss: 1.513896 eta: 1 day, 16:10:45 batch_cost: 2.2013 data_cost: 0.0032 ips: 29.0740 images/s [10/17 04:44:20] ppdet.engine INFO: Epoch: [14] [180/229] learning_rate: 0.397607 loss_vfl: 0.901448 loss_bbox: 0.359593 loss_dfl: 0.210863 loss: 1.473405 eta: 1 day, 16:09:19 batch_cost: 2.1062 data_cost: 0.0056 ips: 30.3866 images/s [10/17 04:45:07] ppdet.engine INFO: Epoch: [14] [200/229] learning_rate: 0.397579 loss_vfl: 0.930372 loss_bbox: 0.364738 loss_dfl: 0.209845 loss: 1.504665 eta: 1 day, 16:07:56 batch_cost: 2.1114 data_cost: 0.0037 ips: 30.3113 images/s [10/17 04:45:45] ppdet.engine INFO: Epoch: [14] [220/229] learning_rate: 0.397551 loss_vfl: 0.927388 loss_bbox: 0.365580 loss_dfl: 0.219938 loss: 1.509970 eta: 1 day, 16:04:14 batch_cost: 1.7485 data_cost: 0.0031 ips: 36.6032 images/s [10/17 04:46:27] ppdet.engine INFO: Epoch: [15] [ 0/229] learning_rate: 0.397538 loss_vfl: 0.936159 loss_bbox: 0.350013 loss_dfl: 0.205806 loss: 1.477719 eta: 1 day, 16:09:39 batch_cost: 2.6794 data_cost: 0.8871 ips: 23.8858 images/s [10/17 04:47:14] ppdet.engine INFO: Epoch: [15] [ 20/229] learning_rate: 0.397509 loss_vfl: 0.922652 loss_bbox: 0.353772 loss_dfl: 0.211622 loss: 1.508039 eta: 1 day, 16:08:48 batch_cost: 2.1966 data_cost: 0.0023 ips: 29.1364 images/s [10/17 04:48:01] ppdet.engine INFO: Epoch: [15] [ 40/229] learning_rate: 0.397480 loss_vfl: 0.932858 loss_bbox: 0.334342 loss_dfl: 0.206450 loss: 1.471954 eta: 1 day, 16:07:56 batch_cost: 2.1951 data_cost: 0.0042 ips: 29.1559 images/s [10/17 04:48:48] ppdet.engine INFO: Epoch: [15] [ 60/229] learning_rate: 0.397451 loss_vfl: 0.924920 loss_bbox: 0.363350 loss_dfl: 0.222861 loss: 1.485851 eta: 1 day, 16:06:43 batch_cost: 2.1397 data_cost: 0.0033 ips: 29.9111 images/s [10/17 04:49:36] ppdet.engine INFO: Epoch: [15] [ 80/229] learning_rate: 0.397422 loss_vfl: 0.928248 loss_bbox: 0.354432 loss_dfl: 0.207673 loss: 1.495649 eta: 1 day, 16:06:10 batch_cost: 2.2454 data_cost: 0.0043 ips: 28.5030 images/s [10/17 04:50:22] ppdet.engine INFO: Epoch: [15] [100/229] learning_rate: 0.397393 loss_vfl: 0.920651 loss_bbox: 0.353175 loss_dfl: 0.202259 loss: 1.465962 eta: 1 day, 16:05:05 batch_cost: 2.1561 data_cost: 0.0030 ips: 29.6832 images/s [10/17 04:51:10] ppdet.engine INFO: Epoch: [15] [120/229] learning_rate: 0.397363 loss_vfl: 0.916613 loss_bbox: 0.376121 loss_dfl: 0.215021 loss: 1.507178 eta: 1 day, 16:04:14 batch_cost: 2.1982 data_cost: 0.0041 ips: 29.1146 images/s [10/17 04:51:58] ppdet.engine INFO: Epoch: [15] [140/229] learning_rate: 0.397333 loss_vfl: 0.945918 loss_bbox: 0.322666 loss_dfl: 0.205289 loss: 1.485731 eta: 1 day, 16:03:27 batch_cost: 2.2050 data_cost: 0.0031 ips: 29.0252 images/s [10/17 04:52:45] ppdet.engine INFO: Epoch: [15] [160/229] learning_rate: 0.397303 loss_vfl: 0.911429 loss_bbox: 0.364286 loss_dfl: 0.209817 loss: 1.497044 eta: 1 day, 16:02:24 batch_cost: 2.1629 data_cost: 0.0030 ips: 29.5897 images/s [10/17 04:53:31] ppdet.engine INFO: Epoch: [15] [180/229] learning_rate: 0.397273 loss_vfl: 0.905274 loss_bbox: 0.360894 loss_dfl: 0.210986 loss: 1.512268 eta: 1 day, 16:01:12 batch_cost: 2.1378 data_cost: 0.0047 ips: 29.9376 images/s [10/17 04:54:17] ppdet.engine INFO: Epoch: [15] [200/229] learning_rate: 0.397243 loss_vfl: 0.916522 loss_bbox: 0.388259 loss_dfl: 0.222776 loss: 1.527259 eta: 1 day, 16:00:01 batch_cost: 2.1394 data_cost: 0.0021 ips: 29.9154 images/s [10/17 04:54:54] ppdet.engine INFO: Epoch: [15] [220/229] learning_rate: 0.397213 loss_vfl: 0.919176 loss_bbox: 0.366663 loss_dfl: 0.214700 loss: 1.504948 eta: 1 day, 15:56:27 batch_cost: 1.7356 data_cost: 0.0018 ips: 36.8749 images/s [10/17 04:55:37] ppdet.engine INFO: Epoch: [16] [ 0/229] learning_rate: 0.397199 loss_vfl: 0.908666 loss_bbox: 0.360788 loss_dfl: 0.213511 loss: 1.498767 eta: 1 day, 16:01:32 batch_cost: 2.6960 data_cost: 0.8368 ips: 23.7389 images/s [10/17 04:56:25] ppdet.engine INFO: Epoch: [16] [ 20/229] learning_rate: 0.397169 loss_vfl: 0.918591 loss_bbox: 0.357279 loss_dfl: 0.203743 loss: 1.474830 eta: 1 day, 16:00:52 batch_cost: 2.2278 data_cost: 0.0037 ips: 28.7281 images/s [10/17 04:57:14] ppdet.engine INFO: Epoch: [16] [ 40/229] learning_rate: 0.397138 loss_vfl: 0.920327 loss_bbox: 0.356375 loss_dfl: 0.209148 loss: 1.465748 eta: 1 day, 16:00:25 batch_cost: 2.2674 data_cost: 0.0048 ips: 28.2260 images/s [10/17 04:58:01] ppdet.engine INFO: Epoch: [16] [ 60/229] learning_rate: 0.397107 loss_vfl: 0.918526 loss_bbox: 0.345430 loss_dfl: 0.208743 loss: 1.482955 eta: 1 day, 15:59:27 batch_cost: 2.1742 data_cost: 0.0031 ips: 29.4363 images/s [10/17 04:58:47] ppdet.engine INFO: Epoch: [16] [ 80/229] learning_rate: 0.397076 loss_vfl: 0.907126 loss_bbox: 0.359215 loss_dfl: 0.217573 loss: 1.483016 eta: 1 day, 15:58:32 batch_cost: 2.1850 data_cost: 0.0022 ips: 29.2903 images/s [10/17 04:59:37] ppdet.engine INFO: Epoch: [16] [100/229] learning_rate: 0.397045 loss_vfl: 0.917711 loss_bbox: 0.350669 loss_dfl: 0.211743 loss: 1.490625 eta: 1 day, 15:58:18 batch_cost: 2.3046 data_cost: 0.0033 ips: 27.7702 images/s [10/17 05:00:27] ppdet.engine INFO: Epoch: [16] [120/229] learning_rate: 0.397013 loss_vfl: 0.912351 loss_bbox: 0.342168 loss_dfl: 0.206862 loss: 1.493386 eta: 1 day, 15:58:23 batch_cost: 2.3586 data_cost: 0.0055 ips: 27.1350 images/s [10/17 05:01:18] ppdet.engine INFO: Epoch: [16] [140/229] learning_rate: 0.396982 loss_vfl: 0.910681 loss_bbox: 0.350745 loss_dfl: 0.209754 loss: 1.482034 eta: 1 day, 15:58:15 batch_cost: 2.3254 data_cost: 0.0082 ips: 27.5223 images/s [10/17 05:02:09] ppdet.engine INFO: Epoch: [16] [160/229] learning_rate: 0.396950 loss_vfl: 0.915359 loss_bbox: 0.363162 loss_dfl: 0.218385 loss: 1.498408 eta: 1 day, 15:58:30 batch_cost: 2.3914 data_cost: 0.0032 ips: 26.7626 images/s [10/17 05:02:58] ppdet.engine INFO: Epoch: [16] [180/229] learning_rate: 0.396918 loss_vfl: 0.915732 loss_bbox: 0.372054 loss_dfl: 0.220779 loss: 1.513161 eta: 1 day, 15:57:54 batch_cost: 2.2419 data_cost: 0.0033 ips: 28.5471 images/s [10/17 05:03:45] ppdet.engine INFO: Epoch: [16] [200/229] learning_rate: 0.396886 loss_vfl: 0.910286 loss_bbox: 0.348595 loss_dfl: 0.214716 loss: 1.499620 eta: 1 day, 15:56:53 batch_cost: 2.1700 data_cost: 0.0092 ips: 29.4931 images/s [10/17 05:04:24] ppdet.engine INFO: Epoch: [16] [220/229] learning_rate: 0.396854 loss_vfl: 0.913617 loss_bbox: 0.373000 loss_dfl: 0.217597 loss: 1.503402 eta: 1 day, 15:53:43 batch_cost: 1.7823 data_cost: 0.0015 ips: 35.9091 images/s [10/17 05:05:07] ppdet.engine INFO: Epoch: [17] [ 0/229] learning_rate: 0.396839 loss_vfl: 0.919952 loss_bbox: 0.370097 loss_dfl: 0.215711 loss: 1.498938 eta: 1 day, 15:58:31 batch_cost: 2.6935 data_cost: 0.9193 ips: 23.7605 images/s [10/17 05:05:54] ppdet.engine INFO: Epoch: [17] [ 20/229] learning_rate: 0.396807 loss_vfl: 0.901180 loss_bbox: 0.351999 loss_dfl: 0.217246 loss: 1.474980 eta: 1 day, 15:57:30 batch_cost: 2.1704 data_cost: 0.0053 ips: 29.4876 images/s [10/17 05:06:42] ppdet.engine INFO: Epoch: [17] [ 40/229] learning_rate: 0.396774 loss_vfl: 0.911315 loss_bbox: 0.362765 loss_dfl: 0.216888 loss: 1.481381 eta: 1 day, 15:56:34 batch_cost: 2.1837 data_cost: 0.0082 ips: 29.3078 images/s [10/17 05:07:29] ppdet.engine INFO: Epoch: [17] [ 60/229] learning_rate: 0.396741 loss_vfl: 0.919777 loss_bbox: 0.344421 loss_dfl: 0.217212 loss: 1.479474 eta: 1 day, 15:55:45 batch_cost: 2.2067 data_cost: 0.0041 ips: 29.0025 images/s [10/17 05:08:16] ppdet.engine INFO: Epoch: [17] [ 80/229] learning_rate: 0.396708 loss_vfl: 0.917103 loss_bbox: 0.340849 loss_dfl: 0.209149 loss: 1.468592 eta: 1 day, 15:54:41 batch_cost: 2.1600 data_cost: 0.0035 ips: 29.6298 images/s [10/17 05:09:03] ppdet.engine INFO: Epoch: [17] [100/229] learning_rate: 0.396675 loss_vfl: 0.907929 loss_bbox: 0.371869 loss_dfl: 0.219605 loss: 1.510492 eta: 1 day, 15:53:49 batch_cost: 2.1960 data_cost: 0.0036 ips: 29.1441 images/s [10/17 05:09:50] ppdet.engine INFO: Epoch: [17] [120/229] learning_rate: 0.396642 loss_vfl: 0.909815 loss_bbox: 0.370140 loss_dfl: 0.217320 loss: 1.487782 eta: 1 day, 15:52:47 batch_cost: 2.1670 data_cost: 0.0035 ips: 29.5335 images/s [10/17 05:10:37] ppdet.engine INFO: Epoch: [17] [140/229] learning_rate: 0.396608 loss_vfl: 0.903624 loss_bbox: 0.331782 loss_dfl: 0.202666 loss: 1.465385 eta: 1 day, 15:51:44 batch_cost: 2.1599 data_cost: 0.0042 ips: 29.6306 images/s [10/17 05:11:25] ppdet.engine INFO: Epoch: [17] [160/229] learning_rate: 0.396575 loss_vfl: 0.931884 loss_bbox: 0.349867 loss_dfl: 0.208377 loss: 1.493343 eta: 1 day, 15:51:15 batch_cost: 2.2674 data_cost: 0.0082 ips: 28.2264 images/s [10/17 05:12:12] ppdet.engine INFO: Epoch: [17] [180/229] learning_rate: 0.396541 loss_vfl: 0.918688 loss_bbox: 0.363450 loss_dfl: 0.211453 loss: 1.477948 eta: 1 day, 15:50:10 batch_cost: 2.1546 data_cost: 0.0023 ips: 29.7043 images/s [10/17 05:12:57] ppdet.engine INFO: Epoch: [17] [200/229] learning_rate: 0.396507 loss_vfl: 0.911905 loss_bbox: 0.366971 loss_dfl: 0.220099 loss: 1.499369 eta: 1 day, 15:48:36 batch_cost: 2.0629 data_cost: 0.0043 ips: 31.0236 images/s [10/17 05:13:35] ppdet.engine INFO: Epoch: [17] [220/229] learning_rate: 0.396473 loss_vfl: 0.918796 loss_bbox: 0.359153 loss_dfl: 0.218192 loss: 1.503481 eta: 1 day, 15:45:23 batch_cost: 1.7449 data_cost: 0.0014 ips: 36.6786 images/s [10/17 05:14:19] ppdet.engine INFO: Epoch: [18] [ 0/229] learning_rate: 0.396457 loss_vfl: 0.918796 loss_bbox: 0.345886 loss_dfl: 0.215896 loss: 1.472250 eta: 1 day, 15:50:10 batch_cost: 2.7603 data_cost: 0.6935 ips: 23.1862 images/s [10/17 05:15:06] ppdet.engine INFO: Epoch: [18] [ 20/229] learning_rate: 0.396423 loss_vfl: 0.895087 loss_bbox: 0.347261 loss_dfl: 0.210737 loss: 1.481771 eta: 1 day, 15:49:26 batch_cost: 2.2232 data_cost: 0.0047 ips: 28.7869 images/s [10/17 05:15:54] ppdet.engine INFO: Epoch: [18] [ 40/229] learning_rate: 0.396389 loss_vfl: 0.924693 loss_bbox: 0.366288 loss_dfl: 0.219917 loss: 1.518569 eta: 1 day, 15:48:35 batch_cost: 2.1984 data_cost: 0.0029 ips: 29.1114 images/s [10/17 05:16:40] ppdet.engine INFO: Epoch: [18] [ 60/229] learning_rate: 0.396354 loss_vfl: 0.905437 loss_bbox: 0.362344 loss_dfl: 0.210574 loss: 1.470815 eta: 1 day, 15:47:25 batch_cost: 2.1367 data_cost: 0.0028 ips: 29.9524 images/s [10/17 05:17:28] ppdet.engine INFO: Epoch: [18] [ 80/229] learning_rate: 0.396319 loss_vfl: 0.916845 loss_bbox: 0.352283 loss_dfl: 0.208140 loss: 1.495222 eta: 1 day, 15:46:36 batch_cost: 2.2066 data_cost: 0.0048 ips: 29.0045 images/s [10/17 05:18:15] ppdet.engine INFO: Epoch: [18] [100/229] learning_rate: 0.396284 loss_vfl: 0.925363 loss_bbox: 0.356625 loss_dfl: 0.211415 loss: 1.500376 eta: 1 day, 15:45:44 batch_cost: 2.1949 data_cost: 0.0027 ips: 29.1589 images/s [10/17 05:19:02] ppdet.engine INFO: Epoch: [18] [120/229] learning_rate: 0.396249 loss_vfl: 0.922388 loss_bbox: 0.353128 loss_dfl: 0.218357 loss: 1.485667 eta: 1 day, 15:44:46 batch_cost: 2.1748 data_cost: 0.0020 ips: 29.4278 images/s [10/17 05:19:49] ppdet.engine INFO: Epoch: [18] [140/229] learning_rate: 0.396213 loss_vfl: 0.914618 loss_bbox: 0.346631 loss_dfl: 0.201136 loss: 1.441046 eta: 1 day, 15:43:45 batch_cost: 2.1673 data_cost: 0.0016 ips: 29.5295 images/s [10/17 05:20:36] ppdet.engine INFO: Epoch: [18] [160/229] learning_rate: 0.396178 loss_vfl: 0.927106 loss_bbox: 0.353677 loss_dfl: 0.213081 loss: 1.494581 eta: 1 day, 15:42:58 batch_cost: 2.2089 data_cost: 0.0045 ips: 28.9738 images/s [10/17 05:21:23] ppdet.engine INFO: Epoch: [18] [180/229] learning_rate: 0.396142 loss_vfl: 0.937313 loss_bbox: 0.334645 loss_dfl: 0.211156 loss: 1.486034 eta: 1 day, 15:42:06 batch_cost: 2.1958 data_cost: 0.0062 ips: 29.1467 images/s [10/17 05:22:09] ppdet.engine INFO: Epoch: [18] [200/229] learning_rate: 0.396106 loss_vfl: 0.908699 loss_bbox: 0.363561 loss_dfl: 0.206221 loss: 1.463090 eta: 1 day, 15:41:02 batch_cost: 2.1535 data_cost: 0.0021 ips: 29.7184 images/s [10/17 05:22:47] ppdet.engine INFO: Epoch: [18] [220/229] learning_rate: 0.396070 loss_vfl: 0.918453 loss_bbox: 0.357467 loss_dfl: 0.208675 loss: 1.506566 eta: 1 day, 15:37:57 batch_cost: 1.7426 data_cost: 0.0028 ips: 36.7273 images/s [10/17 05:23:27] ppdet.engine INFO: Epoch: [19] [ 0/229] learning_rate: 0.396054 loss_vfl: 0.908326 loss_bbox: 0.361846 loss_dfl: 0.212700 loss: 1.504427 eta: 1 day, 15:41:39 batch_cost: 2.5876 data_cost: 0.8399 ips: 24.7332 images/s [10/17 05:24:16] ppdet.engine INFO: Epoch: [19] [ 20/229] learning_rate: 0.396018 loss_vfl: 0.892938 loss_bbox: 0.361740 loss_dfl: 0.215227 loss: 1.498838 eta: 1 day, 15:41:18 batch_cost: 2.2976 data_cost: 0.0033 ips: 27.8551 images/s [10/17 05:25:03] ppdet.engine INFO: Epoch: [19] [ 40/229] learning_rate: 0.395982 loss_vfl: 0.899253 loss_bbox: 0.358521 loss_dfl: 0.207817 loss: 1.442319 eta: 1 day, 15:40:11 batch_cost: 2.1446 data_cost: 0.0046 ips: 29.8427 images/s [10/17 05:25:50] ppdet.engine INFO: Epoch: [19] [ 60/229] learning_rate: 0.395945 loss_vfl: 0.898014 loss_bbox: 0.355871 loss_dfl: 0.208057 loss: 1.462897 eta: 1 day, 15:39:09 batch_cost: 2.1620 data_cost: 0.0047 ips: 29.6020 images/s [10/17 05:26:38] ppdet.engine INFO: Epoch: [19] [ 80/229] learning_rate: 0.395908 loss_vfl: 0.923043 loss_bbox: 0.370971 loss_dfl: 0.212950 loss: 1.473749 eta: 1 day, 15:38:12 batch_cost: 2.1756 data_cost: 0.0033 ips: 29.4174 images/s [10/17 05:27:25] ppdet.engine INFO: Epoch: [19] [100/229] learning_rate: 0.395871 loss_vfl: 0.905064 loss_bbox: 0.343628 loss_dfl: 0.205284 loss: 1.464924 eta: 1 day, 15:37:33 batch_cost: 2.2398 data_cost: 0.0045 ips: 28.5746 images/s [10/17 05:28:12] ppdet.engine INFO: Epoch: [19] [120/229] learning_rate: 0.395834 loss_vfl: 0.886863 loss_bbox: 0.367632 loss_dfl: 0.212128 loss: 1.473757 eta: 1 day, 15:36:30 batch_cost: 2.1547 data_cost: 0.0040 ips: 29.7031 images/s [10/17 05:29:00] ppdet.engine INFO: Epoch: [19] [140/229] learning_rate: 0.395797 loss_vfl: 0.920434 loss_bbox: 0.334137 loss_dfl: 0.203370 loss: 1.455425 eta: 1 day, 15:35:33 batch_cost: 2.1777 data_cost: 0.0035 ips: 29.3893 images/s [10/17 05:29:47] ppdet.engine INFO: Epoch: [19] [160/229] learning_rate: 0.395760 loss_vfl: 0.919107 loss_bbox: 0.361488 loss_dfl: 0.208638 loss: 1.484525 eta: 1 day, 15:34:38 batch_cost: 2.1818 data_cost: 0.0025 ips: 29.3336 images/s [10/17 05:30:33] ppdet.engine INFO: Epoch: [19] [180/229] learning_rate: 0.395722 loss_vfl: 0.911615 loss_bbox: 0.367641 loss_dfl: 0.216370 loss: 1.506761 eta: 1 day, 15:33:37 batch_cost: 2.1615 data_cost: 0.0036 ips: 29.6093 images/s [10/17 05:31:20] ppdet.engine INFO: Epoch: [19] [200/229] learning_rate: 0.395684 loss_vfl: 0.910179 loss_bbox: 0.395775 loss_dfl: 0.218186 loss: 1.516034 eta: 1 day, 15:32:31 batch_cost: 2.1436 data_cost: 0.0047 ips: 29.8557 images/s [10/17 05:31:57] ppdet.engine INFO: Epoch: [19] [220/229] learning_rate: 0.395647 loss_vfl: 0.911886 loss_bbox: 0.339850 loss_dfl: 0.206715 loss: 1.468120 eta: 1 day, 15:29:20 batch_cost: 1.6959 data_cost: 0.0022 ips: 37.7380 images/s [10/17 05:32:10] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 05:32:10] ppdet.engine INFO: Eval iter: 0 [10/17 05:32:53] ppdet.engine INFO: Eval iter: 100 [10/17 05:33:09] ppdet.engine INFO: Eval iter: 200 [10/17 05:33:25] ppdet.engine INFO: Eval iter: 300 [10/17 05:33:40] ppdet.engine INFO: Eval iter: 400 [10/17 05:33:55] ppdet.engine INFO: Eval iter: 500 [10/17 05:34:11] ppdet.engine INFO: Eval iter: 600 [10/17 05:34:23] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.53s) creating index... index created! [10/17 05:34:24] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.04s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=65.50s). Accumulating evaluation results... DONE (t=12.12s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.241 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.376 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.252 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.071 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.238 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.426 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.237 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.371 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.117 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.656 [10/17 05:35:48] ppdet.engine INFO: Total sample number: 5000, averge FPS: 39.74675890758957 [10/17 05:35:48] ppdet.engine INFO: Best test bbox ap is 0.241. [10/17 05:35:48] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 05:35:49] ppdet.engine INFO: Epoch: [20] [ 0/229] learning_rate: 0.395630 loss_vfl: 0.925753 loss_bbox: 0.356953 loss_dfl: 0.209763 loss: 1.494015 eta: 1 day, 15:26:39 batch_cost: 1.2467 data_cost: 0.0012 ips: 51.3345 images/s [10/17 05:36:38] ppdet.engine INFO: Epoch: [20] [ 20/229] learning_rate: 0.395591 loss_vfl: 0.908132 loss_bbox: 0.325985 loss_dfl: 0.204468 loss: 1.450908 eta: 1 day, 15:25:22 batch_cost: 2.0966 data_cost: 0.0088 ips: 30.5260 images/s [10/17 05:37:25] ppdet.engine INFO: Epoch: [20] [ 40/229] learning_rate: 0.395553 loss_vfl: 0.909901 loss_bbox: 0.344794 loss_dfl: 0.210651 loss: 1.448632 eta: 1 day, 15:24:25 batch_cost: 2.1670 data_cost: 0.0039 ips: 29.5344 images/s [10/17 05:38:12] ppdet.engine INFO: Epoch: [20] [ 60/229] learning_rate: 0.395515 loss_vfl: 0.890253 loss_bbox: 0.357425 loss_dfl: 0.206892 loss: 1.449317 eta: 1 day, 15:23:34 batch_cost: 2.1889 data_cost: 0.0052 ips: 29.2380 images/s [10/17 05:38:59] ppdet.engine INFO: Epoch: [20] [ 80/229] learning_rate: 0.395476 loss_vfl: 0.902500 loss_bbox: 0.360738 loss_dfl: 0.210053 loss: 1.464729 eta: 1 day, 15:22:48 batch_cost: 2.2087 data_cost: 0.0035 ips: 28.9768 images/s [10/17 05:39:46] ppdet.engine INFO: Epoch: [20] [100/229] learning_rate: 0.395437 loss_vfl: 0.912889 loss_bbox: 0.341140 loss_dfl: 0.206223 loss: 1.481925 eta: 1 day, 15:21:53 batch_cost: 2.1730 data_cost: 0.0043 ips: 29.4522 images/s [10/17 05:40:34] ppdet.engine INFO: Epoch: [20] [120/229] learning_rate: 0.395398 loss_vfl: 0.909612 loss_bbox: 0.345779 loss_dfl: 0.202533 loss: 1.451370 eta: 1 day, 15:21:04 batch_cost: 2.1983 data_cost: 0.0030 ips: 29.1136 images/s [10/17 05:41:21] ppdet.engine INFO: Epoch: [20] [140/229] learning_rate: 0.395359 loss_vfl: 0.933524 loss_bbox: 0.347492 loss_dfl: 0.214967 loss: 1.492023 eta: 1 day, 15:20:22 batch_cost: 2.2229 data_cost: 0.0018 ips: 28.7908 images/s [10/17 05:42:09] ppdet.engine INFO: Epoch: [20] [160/229] learning_rate: 0.395320 loss_vfl: 0.878886 loss_bbox: 0.365031 loss_dfl: 0.212148 loss: 1.467312 eta: 1 day, 15:19:46 batch_cost: 2.2424 data_cost: 0.0052 ips: 28.5412 images/s [10/17 05:42:55] ppdet.engine INFO: Epoch: [20] [180/229] learning_rate: 0.395281 loss_vfl: 0.898280 loss_bbox: 0.354231 loss_dfl: 0.213120 loss: 1.473922 eta: 1 day, 15:18:50 batch_cost: 2.1720 data_cost: 0.0055 ips: 29.4655 images/s [10/17 05:43:42] ppdet.engine INFO: Epoch: [20] [200/229] learning_rate: 0.395241 loss_vfl: 0.909030 loss_bbox: 0.358651 loss_dfl: 0.211067 loss: 1.483940 eta: 1 day, 15:17:51 batch_cost: 2.1563 data_cost: 0.0047 ips: 29.6807 images/s [10/17 05:44:20] ppdet.engine INFO: Epoch: [20] [220/229] learning_rate: 0.395201 loss_vfl: 0.901094 loss_bbox: 0.353025 loss_dfl: 0.213688 loss: 1.487599 eta: 1 day, 15:14:58 batch_cost: 1.7312 data_cost: 0.0056 ips: 36.9695 images/s [10/17 05:45:04] ppdet.engine INFO: Epoch: [21] [ 0/229] learning_rate: 0.395183 loss_vfl: 0.923327 loss_bbox: 0.356297 loss_dfl: 0.217310 loss: 1.504547 eta: 1 day, 15:19:07 batch_cost: 2.7847 data_cost: 0.8602 ips: 22.9828 images/s [10/17 05:45:52] ppdet.engine INFO: Epoch: [21] [ 20/229] learning_rate: 0.395143 loss_vfl: 0.920530 loss_bbox: 0.353312 loss_dfl: 0.205609 loss: 1.495590 eta: 1 day, 15:18:20 batch_cost: 2.2044 data_cost: 0.0049 ips: 29.0334 images/s [10/17 05:46:39] ppdet.engine INFO: Epoch: [21] [ 40/229] learning_rate: 0.395103 loss_vfl: 0.907503 loss_bbox: 0.358186 loss_dfl: 0.212307 loss: 1.458753 eta: 1 day, 15:17:23 batch_cost: 2.1664 data_cost: 0.0059 ips: 29.5421 images/s [10/17 05:47:26] ppdet.engine INFO: Epoch: [21] [ 60/229] learning_rate: 0.395063 loss_vfl: 0.890970 loss_bbox: 0.378232 loss_dfl: 0.224714 loss: 1.490583 eta: 1 day, 15:16:35 batch_cost: 2.2018 data_cost: 0.0055 ips: 29.0670 images/s [10/17 05:48:13] ppdet.engine INFO: Epoch: [21] [ 80/229] learning_rate: 0.395022 loss_vfl: 0.900842 loss_bbox: 0.341501 loss_dfl: 0.203937 loss: 1.454700 eta: 1 day, 15:15:39 batch_cost: 2.1703 data_cost: 0.0029 ips: 29.4891 images/s [10/17 05:49:00] ppdet.engine INFO: Epoch: [21] [100/229] learning_rate: 0.394982 loss_vfl: 0.915779 loss_bbox: 0.351784 loss_dfl: 0.209756 loss: 1.463764 eta: 1 day, 15:14:47 batch_cost: 2.1837 data_cost: 0.0024 ips: 29.3077 images/s [10/17 05:49:47] ppdet.engine INFO: Epoch: [21] [120/229] learning_rate: 0.394941 loss_vfl: 0.897321 loss_bbox: 0.360261 loss_dfl: 0.215001 loss: 1.471024 eta: 1 day, 15:13:46 batch_cost: 2.1509 data_cost: 0.0054 ips: 29.7555 images/s [10/17 05:50:35] ppdet.engine INFO: Epoch: [21] [140/229] learning_rate: 0.394900 loss_vfl: 0.892204 loss_bbox: 0.347017 loss_dfl: 0.216757 loss: 1.469012 eta: 1 day, 15:12:52 batch_cost: 2.1800 data_cost: 0.0062 ips: 29.3584 images/s [10/17 05:51:21] ppdet.engine INFO: Epoch: [21] [160/229] learning_rate: 0.394859 loss_vfl: 0.899495 loss_bbox: 0.371003 loss_dfl: 0.219093 loss: 1.489828 eta: 1 day, 15:11:45 batch_cost: 2.1248 data_cost: 0.0057 ips: 30.1198 images/s [10/17 05:52:08] ppdet.engine INFO: Epoch: [21] [180/229] learning_rate: 0.394818 loss_vfl: 0.904849 loss_bbox: 0.337213 loss_dfl: 0.211451 loss: 1.464017 eta: 1 day, 15:10:51 batch_cost: 2.1745 data_cost: 0.0023 ips: 29.4326 images/s [10/17 05:52:53] ppdet.engine INFO: Epoch: [21] [200/229] learning_rate: 0.394776 loss_vfl: 0.895832 loss_bbox: 0.346923 loss_dfl: 0.204551 loss: 1.459041 eta: 1 day, 15:09:32 batch_cost: 2.0763 data_cost: 0.0024 ips: 30.8246 images/s [10/17 05:53:32] ppdet.engine INFO: Epoch: [21] [220/229] learning_rate: 0.394735 loss_vfl: 0.923197 loss_bbox: 0.362994 loss_dfl: 0.216132 loss: 1.496018 eta: 1 day, 15:06:54 batch_cost: 1.7659 data_cost: 0.0031 ips: 36.2421 images/s [10/17 05:54:16] ppdet.engine INFO: Epoch: [22] [ 0/229] learning_rate: 0.394716 loss_vfl: 0.921589 loss_bbox: 0.358148 loss_dfl: 0.215185 loss: 1.491248 eta: 1 day, 15:10:34 batch_cost: 2.7471 data_cost: 1.0901 ips: 23.2976 images/s [10/17 05:55:03] ppdet.engine INFO: Epoch: [22] [ 20/229] learning_rate: 0.394674 loss_vfl: 0.912428 loss_bbox: 0.331943 loss_dfl: 0.204027 loss: 1.459968 eta: 1 day, 15:09:40 batch_cost: 2.1771 data_cost: 0.0045 ips: 29.3971 images/s [10/17 05:55:50] ppdet.engine INFO: Epoch: [22] [ 40/229] learning_rate: 0.394632 loss_vfl: 0.878156 loss_bbox: 0.364284 loss_dfl: 0.214131 loss: 1.473930 eta: 1 day, 15:08:46 batch_cost: 2.1790 data_cost: 0.0053 ips: 29.3708 images/s [10/17 05:56:36] ppdet.engine INFO: Epoch: [22] [ 60/229] learning_rate: 0.394590 loss_vfl: 0.886146 loss_bbox: 0.367468 loss_dfl: 0.218800 loss: 1.487453 eta: 1 day, 15:07:42 batch_cost: 2.1336 data_cost: 0.0033 ips: 29.9965 images/s [10/17 05:57:23] ppdet.engine INFO: Epoch: [22] [ 80/229] learning_rate: 0.394547 loss_vfl: 0.909508 loss_bbox: 0.355376 loss_dfl: 0.210167 loss: 1.459014 eta: 1 day, 15:06:44 batch_cost: 2.1598 data_cost: 0.0036 ips: 29.6330 images/s [10/17 05:58:09] ppdet.engine INFO: Epoch: [22] [100/229] learning_rate: 0.394505 loss_vfl: 0.913778 loss_bbox: 0.347732 loss_dfl: 0.209696 loss: 1.474213 eta: 1 day, 15:05:44 batch_cost: 2.1530 data_cost: 0.0027 ips: 29.7265 images/s [10/17 05:58:56] ppdet.engine INFO: Epoch: [22] [120/229] learning_rate: 0.394462 loss_vfl: 0.903780 loss_bbox: 0.370201 loss_dfl: 0.218192 loss: 1.475694 eta: 1 day, 15:04:47 batch_cost: 2.1625 data_cost: 0.0057 ips: 29.5955 images/s [10/17 05:59:43] ppdet.engine INFO: Epoch: [22] [140/229] learning_rate: 0.394419 loss_vfl: 0.918262 loss_bbox: 0.353937 loss_dfl: 0.215154 loss: 1.482986 eta: 1 day, 15:03:59 batch_cost: 2.1959 data_cost: 0.0061 ips: 29.1454 images/s [10/17 06:00:31] ppdet.engine INFO: Epoch: [22] [160/229] learning_rate: 0.394376 loss_vfl: 0.933221 loss_bbox: 0.357987 loss_dfl: 0.211089 loss: 1.493274 eta: 1 day, 15:03:15 batch_cost: 2.2184 data_cost: 0.0057 ips: 28.8492 images/s [10/17 06:01:18] ppdet.engine INFO: Epoch: [22] [180/229] learning_rate: 0.394333 loss_vfl: 0.893463 loss_bbox: 0.366024 loss_dfl: 0.208697 loss: 1.463395 eta: 1 day, 15:02:32 batch_cost: 2.2169 data_cost: 0.0051 ips: 28.8690 images/s [10/17 06:02:05] ppdet.engine INFO: Epoch: [22] [200/229] learning_rate: 0.394290 loss_vfl: 0.917286 loss_bbox: 0.358368 loss_dfl: 0.213461 loss: 1.478441 eta: 1 day, 15:01:43 batch_cost: 2.1951 data_cost: 0.0064 ips: 29.1556 images/s [10/17 06:02:43] ppdet.engine INFO: Epoch: [22] [220/229] learning_rate: 0.394246 loss_vfl: 0.912192 loss_bbox: 0.338242 loss_dfl: 0.206392 loss: 1.449820 eta: 1 day, 14:59:07 batch_cost: 1.7526 data_cost: 0.0020 ips: 36.5167 images/s [10/17 06:03:26] ppdet.engine INFO: Epoch: [23] [ 0/229] learning_rate: 0.394227 loss_vfl: 0.904785 loss_bbox: 0.336174 loss_dfl: 0.204264 loss: 1.441606 eta: 1 day, 15:02:22 batch_cost: 2.6958 data_cost: 0.8788 ips: 23.7406 images/s [10/17 06:04:12] ppdet.engine INFO: Epoch: [23] [ 20/229] learning_rate: 0.394183 loss_vfl: 0.897153 loss_bbox: 0.367354 loss_dfl: 0.224669 loss: 1.493399 eta: 1 day, 15:01:20 batch_cost: 2.1433 data_cost: 0.0029 ips: 29.8607 images/s [10/17 06:05:00] ppdet.engine INFO: Epoch: [23] [ 40/229] learning_rate: 0.394139 loss_vfl: 0.903004 loss_bbox: 0.346903 loss_dfl: 0.213115 loss: 1.473660 eta: 1 day, 15:00:33 batch_cost: 2.2041 data_cost: 0.0055 ips: 29.0368 images/s [10/17 06:05:48] ppdet.engine INFO: Epoch: [23] [ 60/229] learning_rate: 0.394095 loss_vfl: 0.916473 loss_bbox: 0.356376 loss_dfl: 0.216150 loss: 1.506473 eta: 1 day, 14:59:28 batch_cost: 2.1275 data_cost: 0.0059 ips: 30.0817 images/s [10/17 06:06:34] ppdet.engine INFO: Epoch: [23] [ 80/229] learning_rate: 0.394051 loss_vfl: 0.898486 loss_bbox: 0.358824 loss_dfl: 0.209616 loss: 1.470792 eta: 1 day, 14:58:36 batch_cost: 2.1844 data_cost: 0.0054 ips: 29.2989 images/s [10/17 06:07:23] ppdet.engine INFO: Epoch: [23] [100/229] learning_rate: 0.394007 loss_vfl: 0.915333 loss_bbox: 0.364494 loss_dfl: 0.209623 loss: 1.481180 eta: 1 day, 14:57:56 batch_cost: 2.2319 data_cost: 0.0022 ips: 28.6754 images/s [10/17 06:08:09] ppdet.engine INFO: Epoch: [23] [120/229] learning_rate: 0.393962 loss_vfl: 0.905384 loss_bbox: 0.349760 loss_dfl: 0.204377 loss: 1.447438 eta: 1 day, 14:56:40 batch_cost: 2.0791 data_cost: 0.0049 ips: 30.7827 images/s [10/17 06:08:57] ppdet.engine INFO: Epoch: [23] [140/229] learning_rate: 0.393917 loss_vfl: 0.885257 loss_bbox: 0.346553 loss_dfl: 0.207929 loss: 1.430660 eta: 1 day, 14:55:55 batch_cost: 2.2109 data_cost: 0.0027 ips: 28.9481 images/s [10/17 06:09:45] ppdet.engine INFO: Epoch: [23] [160/229] learning_rate: 0.393873 loss_vfl: 0.901674 loss_bbox: 0.360456 loss_dfl: 0.222120 loss: 1.476571 eta: 1 day, 14:55:17 batch_cost: 2.2418 data_cost: 0.0025 ips: 28.5490 images/s [10/17 06:10:31] ppdet.engine INFO: Epoch: [23] [180/229] learning_rate: 0.393828 loss_vfl: 0.885687 loss_bbox: 0.349105 loss_dfl: 0.207441 loss: 1.425044 eta: 1 day, 14:54:23 batch_cost: 2.1742 data_cost: 0.0042 ips: 29.4356 images/s [10/17 06:11:18] ppdet.engine INFO: Epoch: [23] [200/229] learning_rate: 0.393782 loss_vfl: 0.899046 loss_bbox: 0.335117 loss_dfl: 0.204892 loss: 1.452919 eta: 1 day, 14:53:39 batch_cost: 2.2155 data_cost: 0.0044 ips: 28.8869 images/s [10/17 06:11:57] ppdet.engine INFO: Epoch: [23] [220/229] learning_rate: 0.393737 loss_vfl: 0.906675 loss_bbox: 0.340499 loss_dfl: 0.198151 loss: 1.439753 eta: 1 day, 14:51:11 batch_cost: 1.7628 data_cost: 0.0016 ips: 36.3061 images/s [10/17 06:12:40] ppdet.engine INFO: Epoch: [24] [ 0/229] learning_rate: 0.393717 loss_vfl: 0.915796 loss_bbox: 0.345253 loss_dfl: 0.203030 loss: 1.454168 eta: 1 day, 14:54:11 batch_cost: 2.6504 data_cost: 0.9127 ips: 24.1473 images/s [10/17 06:13:27] ppdet.engine INFO: Epoch: [24] [ 20/229] learning_rate: 0.393671 loss_vfl: 0.893890 loss_bbox: 0.344508 loss_dfl: 0.213128 loss: 1.457895 eta: 1 day, 14:53:24 batch_cost: 2.2005 data_cost: 0.0031 ips: 29.0846 images/s [10/17 06:14:13] ppdet.engine INFO: Epoch: [24] [ 40/229] learning_rate: 0.393625 loss_vfl: 0.901040 loss_bbox: 0.354850 loss_dfl: 0.209344 loss: 1.479007 eta: 1 day, 14:52:25 batch_cost: 2.1512 data_cost: 0.0054 ips: 29.7514 images/s [10/17 06:15:01] ppdet.engine INFO: Epoch: [24] [ 60/229] learning_rate: 0.393579 loss_vfl: 0.893768 loss_bbox: 0.350330 loss_dfl: 0.218509 loss: 1.470087 eta: 1 day, 14:51:24 batch_cost: 2.1449 data_cost: 0.0050 ips: 29.8386 images/s [10/17 06:15:49] ppdet.engine INFO: Epoch: [24] [ 80/229] learning_rate: 0.393533 loss_vfl: 0.913314 loss_bbox: 0.337247 loss_dfl: 0.204442 loss: 1.457714 eta: 1 day, 14:50:31 batch_cost: 2.1756 data_cost: 0.0041 ips: 29.4169 images/s [10/17 06:16:36] ppdet.engine INFO: Epoch: [24] [100/229] learning_rate: 0.393487 loss_vfl: 0.890638 loss_bbox: 0.377608 loss_dfl: 0.221900 loss: 1.496493 eta: 1 day, 14:49:26 batch_cost: 2.1220 data_cost: 0.0071 ips: 30.1599 images/s [10/17 06:17:24] ppdet.engine INFO: Epoch: [24] [120/229] learning_rate: 0.393441 loss_vfl: 0.910191 loss_bbox: 0.350743 loss_dfl: 0.211763 loss: 1.465934 eta: 1 day, 14:48:51 batch_cost: 2.2595 data_cost: 0.0043 ips: 28.3255 images/s [10/17 06:18:11] ppdet.engine INFO: Epoch: [24] [140/229] learning_rate: 0.393394 loss_vfl: 0.919732 loss_bbox: 0.340768 loss_dfl: 0.200265 loss: 1.458423 eta: 1 day, 14:48:01 batch_cost: 2.1861 data_cost: 0.0054 ips: 29.2757 images/s [10/17 06:18:58] ppdet.engine INFO: Epoch: [24] [160/229] learning_rate: 0.393348 loss_vfl: 0.911258 loss_bbox: 0.360806 loss_dfl: 0.211397 loss: 1.478146 eta: 1 day, 14:47:05 batch_cost: 2.1635 data_cost: 0.0038 ips: 29.5821 images/s [10/17 06:19:45] ppdet.engine INFO: Epoch: [24] [180/229] learning_rate: 0.393301 loss_vfl: 0.907625 loss_bbox: 0.344747 loss_dfl: 0.211702 loss: 1.463474 eta: 1 day, 14:46:18 batch_cost: 2.2040 data_cost: 0.0038 ips: 29.0386 images/s [10/17 06:20:31] ppdet.engine INFO: Epoch: [24] [200/229] learning_rate: 0.393254 loss_vfl: 0.905142 loss_bbox: 0.355467 loss_dfl: 0.211848 loss: 1.488016 eta: 1 day, 14:45:17 batch_cost: 2.1390 data_cost: 0.0022 ips: 29.9198 images/s [10/17 06:21:09] ppdet.engine INFO: Epoch: [24] [220/229] learning_rate: 0.393206 loss_vfl: 0.894299 loss_bbox: 0.324475 loss_dfl: 0.206222 loss: 1.434511 eta: 1 day, 14:42:54 batch_cost: 1.7654 data_cost: 0.0013 ips: 36.2521 images/s [10/17 06:21:51] ppdet.engine INFO: Epoch: [25] [ 0/229] learning_rate: 0.393185 loss_vfl: 0.904251 loss_bbox: 0.326617 loss_dfl: 0.206621 loss: 1.437045 eta: 1 day, 14:45:48 batch_cost: 2.6570 data_cost: 0.6669 ips: 24.0875 images/s [10/17 06:22:39] ppdet.engine INFO: Epoch: [25] [ 20/229] learning_rate: 0.393138 loss_vfl: 0.896988 loss_bbox: 0.338541 loss_dfl: 0.204454 loss: 1.461065 eta: 1 day, 14:44:59 batch_cost: 2.1956 data_cost: 0.0054 ips: 29.1498 images/s [10/17 06:23:27] ppdet.engine INFO: Epoch: [25] [ 40/229] learning_rate: 0.393090 loss_vfl: 0.903087 loss_bbox: 0.356327 loss_dfl: 0.216462 loss: 1.483263 eta: 1 day, 14:44:13 batch_cost: 2.2093 data_cost: 0.0047 ips: 28.9689 images/s [10/17 06:24:13] ppdet.engine INFO: Epoch: [25] [ 60/229] learning_rate: 0.393042 loss_vfl: 0.901361 loss_bbox: 0.338688 loss_dfl: 0.203664 loss: 1.477984 eta: 1 day, 14:43:03 batch_cost: 2.0975 data_cost: 0.0123 ips: 30.5121 images/s [10/17 06:25:01] ppdet.engine INFO: Epoch: [25] [ 80/229] learning_rate: 0.392995 loss_vfl: 0.907941 loss_bbox: 0.351093 loss_dfl: 0.214885 loss: 1.472672 eta: 1 day, 14:42:13 batch_cost: 2.1906 data_cost: 0.0097 ips: 29.2159 images/s [10/17 06:25:49] ppdet.engine INFO: Epoch: [25] [100/229] learning_rate: 0.392946 loss_vfl: 0.884500 loss_bbox: 0.361126 loss_dfl: 0.213649 loss: 1.440650 eta: 1 day, 14:41:39 batch_cost: 2.2608 data_cost: 0.0035 ips: 28.3083 images/s [10/17 06:26:35] ppdet.engine INFO: Epoch: [25] [120/229] learning_rate: 0.392898 loss_vfl: 0.890635 loss_bbox: 0.332367 loss_dfl: 0.207074 loss: 1.446198 eta: 1 day, 14:40:27 batch_cost: 2.0874 data_cost: 0.0050 ips: 30.6594 images/s [10/17 06:27:21] ppdet.engine INFO: Epoch: [25] [140/229] learning_rate: 0.392850 loss_vfl: 0.900854 loss_bbox: 0.353055 loss_dfl: 0.218045 loss: 1.471441 eta: 1 day, 14:39:28 batch_cost: 2.1444 data_cost: 0.0087 ips: 29.8445 images/s [10/17 06:28:08] ppdet.engine INFO: Epoch: [25] [160/229] learning_rate: 0.392801 loss_vfl: 0.901856 loss_bbox: 0.352447 loss_dfl: 0.206322 loss: 1.456935 eta: 1 day, 14:38:34 batch_cost: 2.1724 data_cost: 0.0019 ips: 29.4602 images/s [10/17 06:28:53] ppdet.engine INFO: Epoch: [25] [180/229] learning_rate: 0.392753 loss_vfl: 0.909351 loss_bbox: 0.346053 loss_dfl: 0.207746 loss: 1.454174 eta: 1 day, 14:37:22 batch_cost: 2.0826 data_cost: 0.0103 ips: 30.7308 images/s [10/17 06:29:40] ppdet.engine INFO: Epoch: [25] [200/229] learning_rate: 0.392704 loss_vfl: 0.901425 loss_bbox: 0.350719 loss_dfl: 0.214083 loss: 1.478599 eta: 1 day, 14:36:30 batch_cost: 2.1776 data_cost: 0.0056 ips: 29.3898 images/s [10/17 06:30:18] ppdet.engine INFO: Epoch: [25] [220/229] learning_rate: 0.392655 loss_vfl: 0.901958 loss_bbox: 0.348539 loss_dfl: 0.208303 loss: 1.448763 eta: 1 day, 14:34:08 batch_cost: 1.7544 data_cost: 0.0053 ips: 36.4807 images/s [10/17 06:30:59] ppdet.engine INFO: Epoch: [26] [ 0/229] learning_rate: 0.392633 loss_vfl: 0.901014 loss_bbox: 0.348368 loss_dfl: 0.204016 loss: 1.439138 eta: 1 day, 14:36:42 batch_cost: 2.6035 data_cost: 0.9479 ips: 24.5827 images/s [10/17 06:31:47] ppdet.engine INFO: Epoch: [26] [ 20/229] learning_rate: 0.392583 loss_vfl: 0.911409 loss_bbox: 0.322330 loss_dfl: 0.196059 loss: 1.448477 eta: 1 day, 14:36:00 batch_cost: 2.2240 data_cost: 0.0143 ips: 28.7776 images/s [10/17 06:32:33] ppdet.engine INFO: Epoch: [26] [ 40/229] learning_rate: 0.392534 loss_vfl: 0.922125 loss_bbox: 0.344460 loss_dfl: 0.214389 loss: 1.471128 eta: 1 day, 14:35:06 batch_cost: 2.1694 data_cost: 0.0040 ips: 29.5014 images/s [10/17 06:33:21] ppdet.engine INFO: Epoch: [26] [ 60/229] learning_rate: 0.392484 loss_vfl: 0.895684 loss_bbox: 0.331502 loss_dfl: 0.197279 loss: 1.426391 eta: 1 day, 14:34:27 batch_cost: 2.2420 data_cost: 0.0039 ips: 28.5462 images/s [10/17 06:34:07] ppdet.engine INFO: Epoch: [26] [ 80/229] learning_rate: 0.392434 loss_vfl: 0.898909 loss_bbox: 0.353313 loss_dfl: 0.218212 loss: 1.492315 eta: 1 day, 14:33:25 batch_cost: 2.1321 data_cost: 0.0038 ips: 30.0179 images/s [10/17 06:34:55] ppdet.engine INFO: Epoch: [26] [100/229] learning_rate: 0.392385 loss_vfl: 0.897441 loss_bbox: 0.359154 loss_dfl: 0.221709 loss: 1.475747 eta: 1 day, 14:32:45 batch_cost: 2.2352 data_cost: 0.0041 ips: 28.6333 images/s [10/17 06:35:41] ppdet.engine INFO: Epoch: [26] [120/229] learning_rate: 0.392334 loss_vfl: 0.892955 loss_bbox: 0.350398 loss_dfl: 0.211916 loss: 1.466084 eta: 1 day, 14:31:44 batch_cost: 2.1333 data_cost: 0.0030 ips: 30.0009 images/s [10/17 06:36:28] ppdet.engine INFO: Epoch: [26] [140/229] learning_rate: 0.392284 loss_vfl: 0.898554 loss_bbox: 0.345405 loss_dfl: 0.204585 loss: 1.451057 eta: 1 day, 14:30:53 batch_cost: 2.1803 data_cost: 0.0026 ips: 29.3538 images/s [10/17 06:37:16] ppdet.engine INFO: Epoch: [26] [160/229] learning_rate: 0.392234 loss_vfl: 0.918524 loss_bbox: 0.355386 loss_dfl: 0.220295 loss: 1.509745 eta: 1 day, 14:30:07 batch_cost: 2.2095 data_cost: 0.0049 ips: 28.9653 images/s [10/17 06:38:03] ppdet.engine INFO: Epoch: [26] [180/229] learning_rate: 0.392183 loss_vfl: 0.906181 loss_bbox: 0.326041 loss_dfl: 0.204289 loss: 1.439077 eta: 1 day, 14:29:15 batch_cost: 2.1731 data_cost: 0.0036 ips: 29.4510 images/s [10/17 06:38:49] ppdet.engine INFO: Epoch: [26] [200/229] learning_rate: 0.392133 loss_vfl: 0.882864 loss_bbox: 0.370566 loss_dfl: 0.215165 loss: 1.450309 eta: 1 day, 14:28:04 batch_cost: 2.0868 data_cost: 0.0036 ips: 30.6694 images/s [10/17 06:39:28] ppdet.engine INFO: Epoch: [26] [220/229] learning_rate: 0.392082 loss_vfl: 0.899208 loss_bbox: 0.343825 loss_dfl: 0.209178 loss: 1.474389 eta: 1 day, 14:25:41 batch_cost: 1.7259 data_cost: 0.0031 ips: 37.0822 images/s [10/17 06:40:08] ppdet.engine INFO: Epoch: [27] [ 0/229] learning_rate: 0.392059 loss_vfl: 0.915524 loss_bbox: 0.343825 loss_dfl: 0.212659 loss: 1.476103 eta: 1 day, 14:28:07 batch_cost: 2.6160 data_cost: 0.8726 ips: 24.4652 images/s [10/17 06:40:58] ppdet.engine INFO: Epoch: [27] [ 20/229] learning_rate: 0.392008 loss_vfl: 0.892294 loss_bbox: 0.364771 loss_dfl: 0.208100 loss: 1.475278 eta: 1 day, 14:27:33 batch_cost: 2.2663 data_cost: 0.0069 ips: 28.2400 images/s [10/17 06:41:45] ppdet.engine INFO: Epoch: [27] [ 40/229] learning_rate: 0.391956 loss_vfl: 0.917052 loss_bbox: 0.337373 loss_dfl: 0.207085 loss: 1.482433 eta: 1 day, 14:26:49 batch_cost: 2.2179 data_cost: 0.0032 ips: 28.8558 images/s [10/17 06:42:33] ppdet.engine INFO: Epoch: [27] [ 60/229] learning_rate: 0.391905 loss_vfl: 0.904434 loss_bbox: 0.362951 loss_dfl: 0.215301 loss: 1.505596 eta: 1 day, 14:26:06 batch_cost: 2.2198 data_cost: 0.0042 ips: 28.8312 images/s [10/17 06:43:20] ppdet.engine INFO: Epoch: [27] [ 80/229] learning_rate: 0.391853 loss_vfl: 0.885925 loss_bbox: 0.346382 loss_dfl: 0.215685 loss: 1.458328 eta: 1 day, 14:25:14 batch_cost: 2.1800 data_cost: 0.0069 ips: 29.3580 images/s [10/17 06:44:06] ppdet.engine INFO: Epoch: [27] [100/229] learning_rate: 0.391802 loss_vfl: 0.901498 loss_bbox: 0.324524 loss_dfl: 0.209523 loss: 1.459341 eta: 1 day, 14:24:24 batch_cost: 2.1878 data_cost: 0.0030 ips: 29.2537 images/s [10/17 06:44:52] ppdet.engine INFO: Epoch: [27] [120/229] learning_rate: 0.391750 loss_vfl: 0.906997 loss_bbox: 0.339452 loss_dfl: 0.204405 loss: 1.442208 eta: 1 day, 14:23:19 batch_cost: 2.1063 data_cost: 0.0046 ips: 30.3846 images/s [10/17 06:45:40] ppdet.engine INFO: Epoch: [27] [140/229] learning_rate: 0.391698 loss_vfl: 0.919021 loss_bbox: 0.365487 loss_dfl: 0.213151 loss: 1.473640 eta: 1 day, 14:22:33 batch_cost: 2.2090 data_cost: 0.0040 ips: 28.9722 images/s [10/17 06:46:27] ppdet.engine INFO: Epoch: [27] [160/229] learning_rate: 0.391645 loss_vfl: 0.890903 loss_bbox: 0.360828 loss_dfl: 0.213959 loss: 1.454087 eta: 1 day, 14:21:44 batch_cost: 2.1881 data_cost: 0.0139 ips: 29.2487 images/s [10/17 06:47:14] ppdet.engine INFO: Epoch: [27] [180/229] learning_rate: 0.391593 loss_vfl: 0.928235 loss_bbox: 0.334751 loss_dfl: 0.206136 loss: 1.463675 eta: 1 day, 14:20:41 batch_cost: 2.1190 data_cost: 0.0059 ips: 30.2030 images/s [10/17 06:48:00] ppdet.engine INFO: Epoch: [27] [200/229] learning_rate: 0.391540 loss_vfl: 0.909624 loss_bbox: 0.346262 loss_dfl: 0.211540 loss: 1.459047 eta: 1 day, 14:19:36 batch_cost: 2.1105 data_cost: 0.0019 ips: 30.3244 images/s [10/17 06:48:37] ppdet.engine INFO: Epoch: [27] [220/229] learning_rate: 0.391488 loss_vfl: 0.905704 loss_bbox: 0.332124 loss_dfl: 0.198352 loss: 1.425442 eta: 1 day, 14:17:18 batch_cost: 1.7307 data_cost: 0.0049 ips: 36.9783 images/s [10/17 06:49:17] ppdet.engine INFO: Epoch: [28] [ 0/229] learning_rate: 0.391464 loss_vfl: 0.912904 loss_bbox: 0.344366 loss_dfl: 0.209593 loss: 1.472483 eta: 1 day, 14:19:30 batch_cost: 2.5820 data_cost: 0.8826 ips: 24.7870 images/s [10/17 06:50:09] ppdet.engine INFO: Epoch: [28] [ 20/229] learning_rate: 0.391411 loss_vfl: 0.903230 loss_bbox: 0.334938 loss_dfl: 0.204431 loss: 1.452745 eta: 1 day, 14:19:20 batch_cost: 2.3901 data_cost: 0.0029 ips: 26.7775 images/s [10/17 06:50:56] ppdet.engine INFO: Epoch: [28] [ 40/229] learning_rate: 0.391358 loss_vfl: 0.901321 loss_bbox: 0.331441 loss_dfl: 0.195894 loss: 1.426822 eta: 1 day, 14:18:29 batch_cost: 2.1805 data_cost: 0.0031 ips: 29.3508 images/s [10/17 06:51:42] ppdet.engine INFO: Epoch: [28] [ 60/229] learning_rate: 0.391305 loss_vfl: 0.909288 loss_bbox: 0.331424 loss_dfl: 0.201982 loss: 1.447781 eta: 1 day, 14:17:11 batch_cost: 2.0385 data_cost: 0.0033 ips: 31.3960 images/s [10/17 06:52:29] ppdet.engine INFO: Epoch: [28] [ 80/229] learning_rate: 0.391251 loss_vfl: 0.877361 loss_bbox: 0.337819 loss_dfl: 0.202184 loss: 1.413360 eta: 1 day, 14:16:14 batch_cost: 2.1527 data_cost: 0.0049 ips: 29.7298 images/s [10/17 06:53:16] ppdet.engine INFO: Epoch: [28] [100/229] learning_rate: 0.391198 loss_vfl: 0.897087 loss_bbox: 0.321843 loss_dfl: 0.198961 loss: 1.412897 eta: 1 day, 14:15:22 batch_cost: 2.1745 data_cost: 0.0057 ips: 29.4322 images/s [10/17 06:54:03] ppdet.engine INFO: Epoch: [28] [120/229] learning_rate: 0.391144 loss_vfl: 0.903565 loss_bbox: 0.344941 loss_dfl: 0.206766 loss: 1.464301 eta: 1 day, 14:14:25 batch_cost: 2.1440 data_cost: 0.0078 ips: 29.8502 images/s [10/17 06:54:50] ppdet.engine INFO: Epoch: [28] [140/229] learning_rate: 0.391090 loss_vfl: 0.916578 loss_bbox: 0.353698 loss_dfl: 0.211896 loss: 1.470200 eta: 1 day, 14:13:38 batch_cost: 2.2001 data_cost: 0.0065 ips: 29.0899 images/s [10/17 06:55:37] ppdet.engine INFO: Epoch: [28] [160/229] learning_rate: 0.391036 loss_vfl: 0.906504 loss_bbox: 0.354415 loss_dfl: 0.211406 loss: 1.464399 eta: 1 day, 14:12:49 batch_cost: 2.1930 data_cost: 0.0030 ips: 29.1831 images/s [10/17 06:56:23] ppdet.engine INFO: Epoch: [28] [180/229] learning_rate: 0.390982 loss_vfl: 0.910428 loss_bbox: 0.340594 loss_dfl: 0.205696 loss: 1.469392 eta: 1 day, 14:11:40 batch_cost: 2.0823 data_cost: 0.0019 ips: 30.7353 images/s [10/17 06:57:09] ppdet.engine INFO: Epoch: [28] [200/229] learning_rate: 0.390927 loss_vfl: 0.900544 loss_bbox: 0.344337 loss_dfl: 0.213578 loss: 1.455657 eta: 1 day, 14:10:42 batch_cost: 2.1390 data_cost: 0.0034 ips: 29.9211 images/s [10/17 06:57:47] ppdet.engine INFO: Epoch: [28] [220/229] learning_rate: 0.390873 loss_vfl: 0.887051 loss_bbox: 0.336550 loss_dfl: 0.207170 loss: 1.427742 eta: 1 day, 14:08:26 batch_cost: 1.7260 data_cost: 0.0047 ips: 37.0790 images/s [10/17 06:58:32] ppdet.engine INFO: Epoch: [29] [ 0/229] learning_rate: 0.390848 loss_vfl: 0.898493 loss_bbox: 0.347116 loss_dfl: 0.203965 loss: 1.425900 eta: 1 day, 14:11:09 batch_cost: 2.7234 data_cost: 1.2275 ips: 23.5000 images/s [10/17 06:59:20] ppdet.engine INFO: Epoch: [29] [ 20/229] learning_rate: 0.390793 loss_vfl: 0.908491 loss_bbox: 0.338129 loss_dfl: 0.208912 loss: 1.454219 eta: 1 day, 14:10:27 batch_cost: 2.2288 data_cost: 0.0039 ips: 28.7152 images/s [10/17 07:00:07] ppdet.engine INFO: Epoch: [29] [ 40/229] learning_rate: 0.390738 loss_vfl: 0.898697 loss_bbox: 0.336622 loss_dfl: 0.212274 loss: 1.434260 eta: 1 day, 14:09:35 batch_cost: 2.1722 data_cost: 0.0032 ips: 29.4630 images/s [10/17 07:00:55] ppdet.engine INFO: Epoch: [29] [ 60/229] learning_rate: 0.390683 loss_vfl: 0.898294 loss_bbox: 0.348239 loss_dfl: 0.208639 loss: 1.472158 eta: 1 day, 14:08:51 batch_cost: 2.2131 data_cost: 0.0056 ips: 28.9183 images/s [10/17 07:01:42] ppdet.engine INFO: Epoch: [29] [ 80/229] learning_rate: 0.390628 loss_vfl: 0.899256 loss_bbox: 0.330626 loss_dfl: 0.211444 loss: 1.460950 eta: 1 day, 14:07:54 batch_cost: 2.1466 data_cost: 0.0023 ips: 29.8149 images/s [10/17 07:02:29] ppdet.engine INFO: Epoch: [29] [100/229] learning_rate: 0.390573 loss_vfl: 0.915434 loss_bbox: 0.327154 loss_dfl: 0.205392 loss: 1.457061 eta: 1 day, 14:07:03 batch_cost: 2.1811 data_cost: 0.0030 ips: 29.3431 images/s [10/17 07:03:16] ppdet.engine INFO: Epoch: [29] [120/229] learning_rate: 0.390517 loss_vfl: 0.908172 loss_bbox: 0.344689 loss_dfl: 0.210028 loss: 1.452988 eta: 1 day, 14:06:10 batch_cost: 2.1675 data_cost: 0.0025 ips: 29.5273 images/s [10/17 07:04:02] ppdet.engine INFO: Epoch: [29] [140/229] learning_rate: 0.390461 loss_vfl: 0.880545 loss_bbox: 0.351262 loss_dfl: 0.207167 loss: 1.432689 eta: 1 day, 14:05:21 batch_cost: 2.1904 data_cost: 0.0023 ips: 29.2177 images/s [10/17 07:04:48] ppdet.engine INFO: Epoch: [29] [160/229] learning_rate: 0.390405 loss_vfl: 0.891555 loss_bbox: 0.329284 loss_dfl: 0.196310 loss: 1.417107 eta: 1 day, 14:04:25 batch_cost: 2.1490 data_cost: 0.0021 ips: 29.7808 images/s [10/17 07:05:34] ppdet.engine INFO: Epoch: [29] [180/229] learning_rate: 0.390349 loss_vfl: 0.904533 loss_bbox: 0.345890 loss_dfl: 0.213056 loss: 1.473855 eta: 1 day, 14:03:26 batch_cost: 2.1328 data_cost: 0.0031 ips: 30.0078 images/s [10/17 07:06:21] ppdet.engine INFO: Epoch: [29] [200/229] learning_rate: 0.390293 loss_vfl: 0.890957 loss_bbox: 0.357724 loss_dfl: 0.212980 loss: 1.467487 eta: 1 day, 14:02:32 batch_cost: 2.1570 data_cost: 0.0037 ips: 29.6712 images/s [10/17 07:06:58] ppdet.engine INFO: Epoch: [29] [220/229] learning_rate: 0.390237 loss_vfl: 0.893532 loss_bbox: 0.343652 loss_dfl: 0.206561 loss: 1.451939 eta: 1 day, 14:00:19 batch_cost: 1.7224 data_cost: 0.0025 ips: 37.1577 images/s [10/17 07:07:12] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 07:07:13] ppdet.engine INFO: Eval iter: 0 [10/17 07:07:55] ppdet.engine INFO: Eval iter: 100 [10/17 07:08:11] ppdet.engine INFO: Eval iter: 200 [10/17 07:08:27] ppdet.engine INFO: Eval iter: 300 [10/17 07:08:43] ppdet.engine INFO: Eval iter: 400 [10/17 07:08:58] ppdet.engine INFO: Eval iter: 500 [10/17 07:09:13] ppdet.engine INFO: Eval iter: 600 [10/17 07:09:26] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.52s) creating index... index created! [10/17 07:09:26] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.62s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=69.24s). Accumulating evaluation results... DONE (t=12.57s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.256 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.393 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.265 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.075 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.253 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.245 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.383 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.408 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.128 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.446 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.669 [10/17 07:10:55] ppdet.engine INFO: Total sample number: 5000, averge FPS: 39.49334676579779 [10/17 07:10:55] ppdet.engine INFO: Best test bbox ap is 0.256. [10/17 07:10:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 07:10:56] ppdet.engine INFO: Epoch: [30] [ 0/229] learning_rate: 0.390211 loss_vfl: 0.893719 loss_bbox: 0.342705 loss_dfl: 0.210292 loss: 1.457129 eta: 1 day, 13:58:31 batch_cost: 1.3054 data_cost: 0.0018 ips: 49.0266 images/s [10/17 07:11:43] ppdet.engine INFO: Epoch: [30] [ 20/229] learning_rate: 0.390155 loss_vfl: 0.904665 loss_bbox: 0.360068 loss_dfl: 0.213085 loss: 1.472101 eta: 1 day, 13:57:45 batch_cost: 2.1993 data_cost: 0.0046 ips: 29.1000 images/s [10/17 07:12:31] ppdet.engine INFO: Epoch: [30] [ 40/229] learning_rate: 0.390098 loss_vfl: 0.900290 loss_bbox: 0.342205 loss_dfl: 0.202576 loss: 1.447103 eta: 1 day, 13:57:05 batch_cost: 2.2337 data_cost: 0.0042 ips: 28.6515 images/s [10/17 07:13:18] ppdet.engine INFO: Epoch: [30] [ 60/229] learning_rate: 0.390041 loss_vfl: 0.908756 loss_bbox: 0.336797 loss_dfl: 0.204745 loss: 1.446350 eta: 1 day, 13:56:03 batch_cost: 2.1141 data_cost: 0.0034 ips: 30.2729 images/s [10/17 07:14:04] ppdet.engine INFO: Epoch: [30] [ 80/229] learning_rate: 0.389984 loss_vfl: 0.886054 loss_bbox: 0.353198 loss_dfl: 0.208321 loss: 1.438887 eta: 1 day, 13:55:04 batch_cost: 2.1256 data_cost: 0.0047 ips: 30.1095 images/s [10/17 07:14:51] ppdet.engine INFO: Epoch: [30] [100/229] learning_rate: 0.389927 loss_vfl: 0.895174 loss_bbox: 0.355542 loss_dfl: 0.210111 loss: 1.470407 eta: 1 day, 13:54:05 batch_cost: 2.1261 data_cost: 0.0063 ips: 30.1025 images/s [10/17 07:15:38] ppdet.engine INFO: Epoch: [30] [120/229] learning_rate: 0.389869 loss_vfl: 0.883403 loss_bbox: 0.366291 loss_dfl: 0.225570 loss: 1.472330 eta: 1 day, 13:53:16 batch_cost: 2.1858 data_cost: 0.0052 ips: 29.2799 images/s [10/17 07:16:26] ppdet.engine INFO: Epoch: [30] [140/229] learning_rate: 0.389812 loss_vfl: 0.903032 loss_bbox: 0.344833 loss_dfl: 0.209438 loss: 1.448336 eta: 1 day, 13:52:24 batch_cost: 2.1657 data_cost: 0.0032 ips: 29.5513 images/s [10/17 07:17:13] ppdet.engine INFO: Epoch: [30] [160/229] learning_rate: 0.389754 loss_vfl: 0.900685 loss_bbox: 0.351030 loss_dfl: 0.212949 loss: 1.452096 eta: 1 day, 13:51:42 batch_cost: 2.2202 data_cost: 0.0025 ips: 28.8266 images/s [10/17 07:18:00] ppdet.engine INFO: Epoch: [30] [180/229] learning_rate: 0.389696 loss_vfl: 0.907191 loss_bbox: 0.330149 loss_dfl: 0.200359 loss: 1.476290 eta: 1 day, 13:50:53 batch_cost: 2.1858 data_cost: 0.0052 ips: 29.2804 images/s [10/17 07:18:46] ppdet.engine INFO: Epoch: [30] [200/229] learning_rate: 0.389638 loss_vfl: 0.883652 loss_bbox: 0.355337 loss_dfl: 0.215095 loss: 1.448476 eta: 1 day, 13:49:50 batch_cost: 2.1004 data_cost: 0.0029 ips: 30.4703 images/s [10/17 07:19:24] ppdet.engine INFO: Epoch: [30] [220/229] learning_rate: 0.389580 loss_vfl: 0.861471 loss_bbox: 0.365410 loss_dfl: 0.211078 loss: 1.453462 eta: 1 day, 13:47:45 batch_cost: 1.7472 data_cost: 0.0027 ips: 36.6299 images/s [10/17 07:20:05] ppdet.engine INFO: Epoch: [31] [ 0/229] learning_rate: 0.389554 loss_vfl: 0.882315 loss_bbox: 0.367372 loss_dfl: 0.212196 loss: 1.463729 eta: 1 day, 13:49:47 batch_cost: 2.6452 data_cost: 0.9265 ips: 24.1946 images/s [10/17 07:20:55] ppdet.engine INFO: Epoch: [31] [ 20/229] learning_rate: 0.389495 loss_vfl: 0.900971 loss_bbox: 0.350558 loss_dfl: 0.199317 loss: 1.438852 eta: 1 day, 13:49:19 batch_cost: 2.3045 data_cost: 0.0041 ips: 27.7719 images/s [10/17 07:21:42] ppdet.engine INFO: Epoch: [31] [ 40/229] learning_rate: 0.389437 loss_vfl: 0.874480 loss_bbox: 0.344277 loss_dfl: 0.203108 loss: 1.414441 eta: 1 day, 13:48:21 batch_cost: 2.1340 data_cost: 0.0031 ips: 29.9907 images/s [10/17 07:22:29] ppdet.engine INFO: Epoch: [31] [ 60/229] learning_rate: 0.389378 loss_vfl: 0.895256 loss_bbox: 0.348170 loss_dfl: 0.213336 loss: 1.440731 eta: 1 day, 13:47:25 batch_cost: 2.1383 data_cost: 0.0039 ips: 29.9306 images/s [10/17 07:23:16] ppdet.engine INFO: Epoch: [31] [ 80/229] learning_rate: 0.389319 loss_vfl: 0.901842 loss_bbox: 0.350317 loss_dfl: 0.211621 loss: 1.475101 eta: 1 day, 13:46:28 batch_cost: 2.1399 data_cost: 0.0077 ips: 29.9083 images/s [10/17 07:24:03] ppdet.engine INFO: Epoch: [31] [100/229] learning_rate: 0.389260 loss_vfl: 0.890005 loss_bbox: 0.335145 loss_dfl: 0.205373 loss: 1.434193 eta: 1 day, 13:45:31 batch_cost: 2.1315 data_cost: 0.0024 ips: 30.0259 images/s [10/17 07:24:49] ppdet.engine INFO: Epoch: [31] [120/229] learning_rate: 0.389201 loss_vfl: 0.895279 loss_bbox: 0.345524 loss_dfl: 0.209243 loss: 1.470874 eta: 1 day, 13:44:25 batch_cost: 2.0815 data_cost: 0.0097 ips: 30.7478 images/s [10/17 07:25:36] ppdet.engine INFO: Epoch: [31] [140/229] learning_rate: 0.389141 loss_vfl: 0.902817 loss_bbox: 0.354174 loss_dfl: 0.212484 loss: 1.459809 eta: 1 day, 13:43:39 batch_cost: 2.2001 data_cost: 0.0020 ips: 29.0902 images/s [10/17 07:26:23] ppdet.engine INFO: Epoch: [31] [160/229] learning_rate: 0.389082 loss_vfl: 0.885068 loss_bbox: 0.332782 loss_dfl: 0.199271 loss: 1.428045 eta: 1 day, 13:42:54 batch_cost: 2.2085 data_cost: 0.0039 ips: 28.9793 images/s [10/17 07:27:11] ppdet.engine INFO: Epoch: [31] [180/229] learning_rate: 0.389022 loss_vfl: 0.900108 loss_bbox: 0.338754 loss_dfl: 0.207052 loss: 1.427989 eta: 1 day, 13:42:07 batch_cost: 2.1922 data_cost: 0.0035 ips: 29.1945 images/s [10/17 07:27:56] ppdet.engine INFO: Epoch: [31] [200/229] learning_rate: 0.388962 loss_vfl: 0.903959 loss_bbox: 0.341389 loss_dfl: 0.216272 loss: 1.480809 eta: 1 day, 13:40:49 batch_cost: 2.0104 data_cost: 0.0034 ips: 31.8339 images/s [10/17 07:28:35] ppdet.engine INFO: Epoch: [31] [220/229] learning_rate: 0.388902 loss_vfl: 0.887051 loss_bbox: 0.350254 loss_dfl: 0.207685 loss: 1.441230 eta: 1 day, 13:38:58 batch_cost: 1.8101 data_cost: 0.0032 ips: 35.3580 images/s [10/17 07:29:18] ppdet.engine INFO: Epoch: [32] [ 0/229] learning_rate: 0.388875 loss_vfl: 0.890427 loss_bbox: 0.313098 loss_dfl: 0.195726 loss: 1.417125 eta: 1 day, 13:41:21 batch_cost: 2.7869 data_cost: 0.9864 ips: 22.9647 images/s [10/17 07:30:05] ppdet.engine INFO: Epoch: [32] [ 20/229] learning_rate: 0.388815 loss_vfl: 0.891888 loss_bbox: 0.340416 loss_dfl: 0.198649 loss: 1.414748 eta: 1 day, 13:40:26 batch_cost: 2.1521 data_cost: 0.0042 ips: 29.7389 images/s [10/17 07:30:53] ppdet.engine INFO: Epoch: [32] [ 40/229] learning_rate: 0.388755 loss_vfl: 0.883076 loss_bbox: 0.356340 loss_dfl: 0.202501 loss: 1.433616 eta: 1 day, 13:39:43 batch_cost: 2.2174 data_cost: 0.0053 ips: 28.8629 images/s [10/17 07:31:40] ppdet.engine INFO: Epoch: [32] [ 60/229] learning_rate: 0.388694 loss_vfl: 0.888092 loss_bbox: 0.344162 loss_dfl: 0.207838 loss: 1.461051 eta: 1 day, 13:39:00 batch_cost: 2.2171 data_cost: 0.0027 ips: 28.8672 images/s [10/17 07:32:27] ppdet.engine INFO: Epoch: [32] [ 80/229] learning_rate: 0.388633 loss_vfl: 0.882918 loss_bbox: 0.327258 loss_dfl: 0.206458 loss: 1.425715 eta: 1 day, 13:38:06 batch_cost: 2.1471 data_cost: 0.0033 ips: 29.8081 images/s [10/17 07:33:14] ppdet.engine INFO: Epoch: [32] [100/229] learning_rate: 0.388573 loss_vfl: 0.888471 loss_bbox: 0.335170 loss_dfl: 0.203898 loss: 1.415992 eta: 1 day, 13:37:12 batch_cost: 2.1547 data_cost: 0.0040 ips: 29.7026 images/s [10/17 07:34:01] ppdet.engine INFO: Epoch: [32] [120/229] learning_rate: 0.388512 loss_vfl: 0.900752 loss_bbox: 0.324289 loss_dfl: 0.211552 loss: 1.444584 eta: 1 day, 13:36:12 batch_cost: 2.1160 data_cost: 0.0045 ips: 30.2455 images/s [10/17 07:34:48] ppdet.engine INFO: Epoch: [32] [140/229] learning_rate: 0.388450 loss_vfl: 0.896296 loss_bbox: 0.335067 loss_dfl: 0.201801 loss: 1.432744 eta: 1 day, 13:35:23 batch_cost: 2.1813 data_cost: 0.0018 ips: 29.3404 images/s [10/17 07:35:35] ppdet.engine INFO: Epoch: [32] [160/229] learning_rate: 0.388389 loss_vfl: 0.907036 loss_bbox: 0.337613 loss_dfl: 0.207394 loss: 1.464571 eta: 1 day, 13:34:34 batch_cost: 2.1776 data_cost: 0.0032 ips: 29.3903 images/s [10/17 07:36:21] ppdet.engine INFO: Epoch: [32] [180/229] learning_rate: 0.388327 loss_vfl: 0.898831 loss_bbox: 0.353055 loss_dfl: 0.206437 loss: 1.440773 eta: 1 day, 13:33:37 batch_cost: 2.1331 data_cost: 0.0035 ips: 30.0027 images/s [10/17 07:37:09] ppdet.engine INFO: Epoch: [32] [200/229] learning_rate: 0.388266 loss_vfl: 0.893930 loss_bbox: 0.353572 loss_dfl: 0.208816 loss: 1.465054 eta: 1 day, 13:32:56 batch_cost: 2.2294 data_cost: 0.0019 ips: 28.7072 images/s [10/17 07:37:47] ppdet.engine INFO: Epoch: [32] [220/229] learning_rate: 0.388204 loss_vfl: 0.908833 loss_bbox: 0.353304 loss_dfl: 0.213581 loss: 1.472696 eta: 1 day, 13:30:52 batch_cost: 1.7187 data_cost: 0.0014 ips: 37.2378 images/s [10/17 07:38:29] ppdet.engine INFO: Epoch: [33] [ 0/229] learning_rate: 0.388176 loss_vfl: 0.901626 loss_bbox: 0.353179 loss_dfl: 0.209404 loss: 1.453068 eta: 1 day, 13:33:01 batch_cost: 2.7002 data_cost: 0.8307 ips: 23.7023 images/s [10/17 07:39:17] ppdet.engine INFO: Epoch: [33] [ 20/229] learning_rate: 0.388114 loss_vfl: 0.890267 loss_bbox: 0.342461 loss_dfl: 0.206602 loss: 1.452020 eta: 1 day, 13:32:13 batch_cost: 2.1891 data_cost: 0.0016 ips: 29.2362 images/s [10/17 07:40:04] ppdet.engine INFO: Epoch: [33] [ 40/229] learning_rate: 0.388052 loss_vfl: 0.886471 loss_bbox: 0.350436 loss_dfl: 0.208922 loss: 1.442361 eta: 1 day, 13:31:30 batch_cost: 2.2192 data_cost: 0.0017 ips: 28.8399 images/s [10/17 07:40:52] ppdet.engine INFO: Epoch: [33] [ 60/229] learning_rate: 0.387990 loss_vfl: 0.896437 loss_bbox: 0.357464 loss_dfl: 0.209895 loss: 1.445837 eta: 1 day, 13:30:51 batch_cost: 2.2438 data_cost: 0.0029 ips: 28.5227 images/s [10/17 07:41:40] ppdet.engine INFO: Epoch: [33] [ 80/229] learning_rate: 0.387927 loss_vfl: 0.923415 loss_bbox: 0.331015 loss_dfl: 0.200728 loss: 1.435015 eta: 1 day, 13:30:02 batch_cost: 2.1795 data_cost: 0.0046 ips: 29.3643 images/s [10/17 07:42:27] ppdet.engine INFO: Epoch: [33] [100/229] learning_rate: 0.387864 loss_vfl: 0.898609 loss_bbox: 0.352241 loss_dfl: 0.204868 loss: 1.447368 eta: 1 day, 13:29:14 batch_cost: 2.1874 data_cost: 0.0025 ips: 29.2586 images/s [10/17 07:43:14] ppdet.engine INFO: Epoch: [33] [120/229] learning_rate: 0.387802 loss_vfl: 0.900867 loss_bbox: 0.341909 loss_dfl: 0.209967 loss: 1.456535 eta: 1 day, 13:28:26 batch_cost: 2.1876 data_cost: 0.0045 ips: 29.2563 images/s [10/17 07:44:00] ppdet.engine INFO: Epoch: [33] [140/229] learning_rate: 0.387739 loss_vfl: 0.891540 loss_bbox: 0.356374 loss_dfl: 0.206731 loss: 1.453884 eta: 1 day, 13:27:35 batch_cost: 2.1636 data_cost: 0.0041 ips: 29.5798 images/s [10/17 07:44:48] ppdet.engine INFO: Epoch: [33] [160/229] learning_rate: 0.387675 loss_vfl: 0.889957 loss_bbox: 0.330503 loss_dfl: 0.200092 loss: 1.441717 eta: 1 day, 13:26:53 batch_cost: 2.2292 data_cost: 0.0025 ips: 28.7104 images/s [10/17 07:45:35] ppdet.engine INFO: Epoch: [33] [180/229] learning_rate: 0.387612 loss_vfl: 0.889121 loss_bbox: 0.329741 loss_dfl: 0.196907 loss: 1.428080 eta: 1 day, 13:26:01 batch_cost: 2.1612 data_cost: 0.0045 ips: 29.6135 images/s [10/17 07:46:21] ppdet.engine INFO: Epoch: [33] [200/229] learning_rate: 0.387549 loss_vfl: 0.903776 loss_bbox: 0.317393 loss_dfl: 0.196599 loss: 1.419631 eta: 1 day, 13:24:56 batch_cost: 2.0738 data_cost: 0.0040 ips: 30.8616 images/s [10/17 07:46:58] ppdet.engine INFO: Epoch: [33] [220/229] learning_rate: 0.387485 loss_vfl: 0.912168 loss_bbox: 0.323662 loss_dfl: 0.201722 loss: 1.457009 eta: 1 day, 13:22:48 batch_cost: 1.6773 data_cost: 0.0019 ips: 38.1570 images/s [10/17 07:47:43] ppdet.engine INFO: Epoch: [34] [ 0/229] learning_rate: 0.387456 loss_vfl: 0.906057 loss_bbox: 0.321739 loss_dfl: 0.199942 loss: 1.432289 eta: 1 day, 13:25:02 batch_cost: 2.7403 data_cost: 0.9057 ips: 23.3553 images/s [10/17 07:48:30] ppdet.engine INFO: Epoch: [34] [ 20/229] learning_rate: 0.387393 loss_vfl: 0.876870 loss_bbox: 0.347904 loss_dfl: 0.207737 loss: 1.426577 eta: 1 day, 13:24:13 batch_cost: 2.1779 data_cost: 0.0045 ips: 29.3861 images/s [10/17 07:49:18] ppdet.engine INFO: Epoch: [34] [ 40/229] learning_rate: 0.387329 loss_vfl: 0.880261 loss_bbox: 0.333262 loss_dfl: 0.200379 loss: 1.405919 eta: 1 day, 13:23:28 batch_cost: 2.2120 data_cost: 0.0048 ips: 28.9332 images/s [10/17 07:50:05] ppdet.engine INFO: Epoch: [34] [ 60/229] learning_rate: 0.387264 loss_vfl: 0.901690 loss_bbox: 0.321184 loss_dfl: 0.205577 loss: 1.444579 eta: 1 day, 13:22:39 batch_cost: 2.1807 data_cost: 0.0034 ips: 29.3480 images/s [10/17 07:50:52] ppdet.engine INFO: Epoch: [34] [ 80/229] learning_rate: 0.387200 loss_vfl: 0.879606 loss_bbox: 0.323584 loss_dfl: 0.200387 loss: 1.414628 eta: 1 day, 13:21:53 batch_cost: 2.1937 data_cost: 0.0020 ips: 29.1750 images/s [10/17 07:51:39] ppdet.engine INFO: Epoch: [34] [100/229] learning_rate: 0.387136 loss_vfl: 0.885427 loss_bbox: 0.351546 loss_dfl: 0.204007 loss: 1.456059 eta: 1 day, 13:21:00 batch_cost: 2.1561 data_cost: 0.0040 ips: 29.6831 images/s [10/17 07:52:26] ppdet.engine INFO: Epoch: [34] [120/229] learning_rate: 0.387071 loss_vfl: 0.897777 loss_bbox: 0.336870 loss_dfl: 0.208134 loss: 1.445356 eta: 1 day, 13:20:11 batch_cost: 2.1815 data_cost: 0.0063 ips: 29.3373 images/s [10/17 07:53:14] ppdet.engine INFO: Epoch: [34] [140/229] learning_rate: 0.387006 loss_vfl: 0.882509 loss_bbox: 0.347573 loss_dfl: 0.214792 loss: 1.481361 eta: 1 day, 13:19:18 batch_cost: 2.1550 data_cost: 0.0042 ips: 29.6988 images/s [10/17 07:54:00] ppdet.engine INFO: Epoch: [34] [160/229] learning_rate: 0.386941 loss_vfl: 0.875661 loss_bbox: 0.345406 loss_dfl: 0.203339 loss: 1.448495 eta: 1 day, 13:18:22 batch_cost: 2.1299 data_cost: 0.0030 ips: 30.0479 images/s [10/17 07:54:47] ppdet.engine INFO: Epoch: [34] [180/229] learning_rate: 0.386876 loss_vfl: 0.881955 loss_bbox: 0.331653 loss_dfl: 0.198647 loss: 1.402303 eta: 1 day, 13:17:30 batch_cost: 2.1611 data_cost: 0.0027 ips: 29.6151 images/s [10/17 07:55:33] ppdet.engine INFO: Epoch: [34] [200/229] learning_rate: 0.386811 loss_vfl: 0.888185 loss_bbox: 0.345308 loss_dfl: 0.201985 loss: 1.411106 eta: 1 day, 13:16:32 batch_cost: 2.1211 data_cost: 0.0043 ips: 30.1729 images/s [10/17 07:56:11] ppdet.engine INFO: Epoch: [34] [220/229] learning_rate: 0.386746 loss_vfl: 0.902612 loss_bbox: 0.339631 loss_dfl: 0.203685 loss: 1.437151 eta: 1 day, 13:14:38 batch_cost: 1.7483 data_cost: 0.0083 ips: 36.6073 images/s [10/17 07:56:55] ppdet.engine INFO: Epoch: [35] [ 0/229] learning_rate: 0.386716 loss_vfl: 0.895486 loss_bbox: 0.339631 loss_dfl: 0.207360 loss: 1.422628 eta: 1 day, 13:16:41 batch_cost: 2.7496 data_cost: 1.0004 ips: 23.2757 images/s [10/17 07:57:42] ppdet.engine INFO: Epoch: [35] [ 20/229] learning_rate: 0.386650 loss_vfl: 0.873370 loss_bbox: 0.356418 loss_dfl: 0.203832 loss: 1.423181 eta: 1 day, 13:15:48 batch_cost: 2.1559 data_cost: 0.0029 ips: 29.6863 images/s [10/17 07:58:29] ppdet.engine INFO: Epoch: [35] [ 40/229] learning_rate: 0.386585 loss_vfl: 0.870368 loss_bbox: 0.333146 loss_dfl: 0.198784 loss: 1.402900 eta: 1 day, 13:14:43 batch_cost: 2.0726 data_cost: 0.0040 ips: 30.8785 images/s [10/17 07:59:17] ppdet.engine INFO: Epoch: [35] [ 60/229] learning_rate: 0.386519 loss_vfl: 0.887426 loss_bbox: 0.342463 loss_dfl: 0.211672 loss: 1.452437 eta: 1 day, 13:13:45 batch_cost: 2.1161 data_cost: 0.0060 ips: 30.2444 images/s [10/17 08:00:04] ppdet.engine INFO: Epoch: [35] [ 80/229] learning_rate: 0.386453 loss_vfl: 0.897718 loss_bbox: 0.322725 loss_dfl: 0.201295 loss: 1.428825 eta: 1 day, 13:12:49 batch_cost: 2.1375 data_cost: 0.0035 ips: 29.9416 images/s [10/17 08:00:51] ppdet.engine INFO: Epoch: [35] [100/229] learning_rate: 0.386386 loss_vfl: 0.914824 loss_bbox: 0.325467 loss_dfl: 0.206634 loss: 1.463928 eta: 1 day, 13:12:07 batch_cost: 2.2255 data_cost: 0.0026 ips: 28.7571 images/s [10/17 08:01:39] ppdet.engine INFO: Epoch: [35] [120/229] learning_rate: 0.386320 loss_vfl: 0.893460 loss_bbox: 0.315156 loss_dfl: 0.192124 loss: 1.402886 eta: 1 day, 13:11:17 batch_cost: 2.1712 data_cost: 0.0044 ips: 29.4768 images/s [10/17 08:02:26] ppdet.engine INFO: Epoch: [35] [140/229] learning_rate: 0.386253 loss_vfl: 0.894892 loss_bbox: 0.350179 loss_dfl: 0.208798 loss: 1.451981 eta: 1 day, 13:10:30 batch_cost: 2.1925 data_cost: 0.0023 ips: 29.1906 images/s [10/17 08:03:14] ppdet.engine INFO: Epoch: [35] [160/229] learning_rate: 0.386187 loss_vfl: 0.901685 loss_bbox: 0.345384 loss_dfl: 0.206720 loss: 1.465197 eta: 1 day, 13:09:47 batch_cost: 2.2164 data_cost: 0.0049 ips: 28.8758 images/s [10/17 08:04:00] ppdet.engine INFO: Epoch: [35] [180/229] learning_rate: 0.386120 loss_vfl: 0.889691 loss_bbox: 0.359040 loss_dfl: 0.210977 loss: 1.446817 eta: 1 day, 13:08:52 batch_cost: 2.1335 data_cost: 0.0082 ips: 29.9976 images/s [10/17 08:04:45] ppdet.engine INFO: Epoch: [35] [200/229] learning_rate: 0.386053 loss_vfl: 0.902931 loss_bbox: 0.313137 loss_dfl: 0.193474 loss: 1.412383 eta: 1 day, 13:07:51 batch_cost: 2.0968 data_cost: 0.0038 ips: 30.5223 images/s [10/17 08:05:22] ppdet.engine INFO: Epoch: [35] [220/229] learning_rate: 0.385986 loss_vfl: 0.903069 loss_bbox: 0.344175 loss_dfl: 0.204182 loss: 1.424362 eta: 1 day, 13:05:40 batch_cost: 1.6241 data_cost: 0.0022 ips: 39.4070 images/s [10/17 08:06:04] ppdet.engine INFO: Epoch: [36] [ 0/229] learning_rate: 0.385955 loss_vfl: 0.903257 loss_bbox: 0.340159 loss_dfl: 0.204102 loss: 1.440395 eta: 1 day, 13:07:26 batch_cost: 2.5637 data_cost: 0.9765 ips: 24.9643 images/s [10/17 08:06:52] ppdet.engine INFO: Epoch: [36] [ 20/229] learning_rate: 0.385888 loss_vfl: 0.893063 loss_bbox: 0.316999 loss_dfl: 0.201130 loss: 1.424987 eta: 1 day, 13:06:44 batch_cost: 2.2263 data_cost: 0.0028 ips: 28.7469 images/s [10/17 08:07:39] ppdet.engine INFO: Epoch: [36] [ 40/229] learning_rate: 0.385820 loss_vfl: 0.873774 loss_bbox: 0.334618 loss_dfl: 0.200353 loss: 1.404936 eta: 1 day, 13:05:50 batch_cost: 2.1429 data_cost: 0.0055 ips: 29.8661 images/s [10/17 08:08:27] ppdet.engine INFO: Epoch: [36] [ 60/229] learning_rate: 0.385753 loss_vfl: 0.902631 loss_bbox: 0.330259 loss_dfl: 0.199488 loss: 1.462856 eta: 1 day, 13:05:00 batch_cost: 2.1695 data_cost: 0.0022 ips: 29.5005 images/s [10/17 08:09:13] ppdet.engine INFO: Epoch: [36] [ 80/229] learning_rate: 0.385685 loss_vfl: 0.882896 loss_bbox: 0.324095 loss_dfl: 0.200344 loss: 1.419955 eta: 1 day, 13:04:02 batch_cost: 2.1184 data_cost: 0.0068 ips: 30.2121 images/s [10/17 08:10:01] ppdet.engine INFO: Epoch: [36] [100/229] learning_rate: 0.385617 loss_vfl: 0.902684 loss_bbox: 0.334994 loss_dfl: 0.207155 loss: 1.434648 eta: 1 day, 13:03:16 batch_cost: 2.1941 data_cost: 0.0029 ips: 29.1696 images/s [10/17 08:10:47] ppdet.engine INFO: Epoch: [36] [120/229] learning_rate: 0.385548 loss_vfl: 0.884157 loss_bbox: 0.338929 loss_dfl: 0.202068 loss: 1.418370 eta: 1 day, 13:02:28 batch_cost: 2.1863 data_cost: 0.0032 ips: 29.2727 images/s [10/17 08:11:35] ppdet.engine INFO: Epoch: [36] [140/229] learning_rate: 0.385480 loss_vfl: 0.899368 loss_bbox: 0.328663 loss_dfl: 0.206095 loss: 1.418958 eta: 1 day, 13:01:37 batch_cost: 2.1604 data_cost: 0.0041 ips: 29.6242 images/s [10/17 08:12:22] ppdet.engine INFO: Epoch: [36] [160/229] learning_rate: 0.385412 loss_vfl: 0.898123 loss_bbox: 0.317522 loss_dfl: 0.205167 loss: 1.427318 eta: 1 day, 13:00:47 batch_cost: 2.1688 data_cost: 0.0046 ips: 29.5099 images/s [10/17 08:13:09] ppdet.engine INFO: Epoch: [36] [180/229] learning_rate: 0.385343 loss_vfl: 0.886843 loss_bbox: 0.338179 loss_dfl: 0.202722 loss: 1.413213 eta: 1 day, 12:59:55 batch_cost: 2.1570 data_cost: 0.0041 ips: 29.6704 images/s [10/17 08:13:55] ppdet.engine INFO: Epoch: [36] [200/229] learning_rate: 0.385274 loss_vfl: 0.885375 loss_bbox: 0.358666 loss_dfl: 0.207838 loss: 1.443678 eta: 1 day, 12:58:55 batch_cost: 2.0995 data_cost: 0.0047 ips: 30.4839 images/s [10/17 08:14:33] ppdet.engine INFO: Epoch: [36] [220/229] learning_rate: 0.385205 loss_vfl: 0.910499 loss_bbox: 0.344933 loss_dfl: 0.210264 loss: 1.450151 eta: 1 day, 12:57:12 batch_cost: 1.7934 data_cost: 0.0028 ips: 35.6855 images/s [10/17 08:15:17] ppdet.engine INFO: Epoch: [37] [ 0/229] learning_rate: 0.385174 loss_vfl: 0.908250 loss_bbox: 0.349908 loss_dfl: 0.206673 loss: 1.450627 eta: 1 day, 12:59:08 batch_cost: 2.7774 data_cost: 1.1175 ips: 23.0429 images/s [10/17 08:16:03] ppdet.engine INFO: Epoch: [37] [ 20/229] learning_rate: 0.385105 loss_vfl: 0.864017 loss_bbox: 0.335259 loss_dfl: 0.199707 loss: 1.413875 eta: 1 day, 12:58:13 batch_cost: 2.1332 data_cost: 0.0038 ips: 30.0014 images/s [10/17 08:16:51] ppdet.engine INFO: Epoch: [37] [ 40/229] learning_rate: 0.385036 loss_vfl: 0.899484 loss_bbox: 0.329680 loss_dfl: 0.207379 loss: 1.449845 eta: 1 day, 12:57:23 batch_cost: 2.1738 data_cost: 0.0033 ips: 29.4410 images/s [10/17 08:17:37] ppdet.engine INFO: Epoch: [37] [ 60/229] learning_rate: 0.384966 loss_vfl: 0.871870 loss_bbox: 0.342763 loss_dfl: 0.205911 loss: 1.431217 eta: 1 day, 12:56:34 batch_cost: 2.1711 data_cost: 0.0033 ips: 29.4776 images/s [10/17 08:18:24] ppdet.engine INFO: Epoch: [37] [ 80/229] learning_rate: 0.384896 loss_vfl: 0.879047 loss_bbox: 0.315310 loss_dfl: 0.199235 loss: 1.413503 eta: 1 day, 12:55:43 batch_cost: 2.1668 data_cost: 0.0027 ips: 29.5367 images/s [10/17 08:19:12] ppdet.engine INFO: Epoch: [37] [100/229] learning_rate: 0.384827 loss_vfl: 0.874922 loss_bbox: 0.344428 loss_dfl: 0.209294 loss: 1.431747 eta: 1 day, 12:54:59 batch_cost: 2.2123 data_cost: 0.0031 ips: 28.9287 images/s [10/17 08:19:58] ppdet.engine INFO: Epoch: [37] [120/229] learning_rate: 0.384757 loss_vfl: 0.894804 loss_bbox: 0.331289 loss_dfl: 0.204436 loss: 1.451092 eta: 1 day, 12:54:08 batch_cost: 2.1596 data_cost: 0.0060 ips: 29.6356 images/s [10/17 08:20:45] ppdet.engine INFO: Epoch: [37] [140/229] learning_rate: 0.384687 loss_vfl: 0.901294 loss_bbox: 0.329400 loss_dfl: 0.210255 loss: 1.460124 eta: 1 day, 12:53:17 batch_cost: 2.1599 data_cost: 0.0039 ips: 29.6310 images/s [10/17 08:21:32] ppdet.engine INFO: Epoch: [37] [160/229] learning_rate: 0.384616 loss_vfl: 0.896764 loss_bbox: 0.360189 loss_dfl: 0.206874 loss: 1.460819 eta: 1 day, 12:52:30 batch_cost: 2.1901 data_cost: 0.0042 ips: 29.2228 images/s [10/17 08:22:19] ppdet.engine INFO: Epoch: [37] [180/229] learning_rate: 0.384546 loss_vfl: 0.908782 loss_bbox: 0.318079 loss_dfl: 0.196034 loss: 1.410991 eta: 1 day, 12:51:39 batch_cost: 2.1594 data_cost: 0.0048 ips: 29.6379 images/s [10/17 08:23:05] ppdet.engine INFO: Epoch: [37] [200/229] learning_rate: 0.384475 loss_vfl: 0.908957 loss_bbox: 0.321043 loss_dfl: 0.205642 loss: 1.443358 eta: 1 day, 12:50:38 batch_cost: 2.0910 data_cost: 0.0039 ips: 30.6070 images/s [10/17 08:23:43] ppdet.engine INFO: Epoch: [37] [220/229] learning_rate: 0.384405 loss_vfl: 0.895445 loss_bbox: 0.336264 loss_dfl: 0.211491 loss: 1.451475 eta: 1 day, 12:48:49 batch_cost: 1.7381 data_cost: 0.0017 ips: 36.8216 images/s [10/17 08:24:26] ppdet.engine INFO: Epoch: [38] [ 0/229] learning_rate: 0.384373 loss_vfl: 0.892831 loss_bbox: 0.338500 loss_dfl: 0.215195 loss: 1.466739 eta: 1 day, 12:50:39 batch_cost: 2.7184 data_cost: 1.0760 ips: 23.5433 images/s [10/17 08:25:12] ppdet.engine INFO: Epoch: [38] [ 20/229] learning_rate: 0.384302 loss_vfl: 0.884732 loss_bbox: 0.319504 loss_dfl: 0.201667 loss: 1.426795 eta: 1 day, 12:49:41 batch_cost: 2.1146 data_cost: 0.0050 ips: 30.2659 images/s [10/17 08:25:59] ppdet.engine INFO: Epoch: [38] [ 40/229] learning_rate: 0.384231 loss_vfl: 0.898896 loss_bbox: 0.340895 loss_dfl: 0.207786 loss: 1.460648 eta: 1 day, 12:48:50 batch_cost: 2.1612 data_cost: 0.0057 ips: 29.6126 images/s [10/17 08:26:47] ppdet.engine INFO: Epoch: [38] [ 60/229] learning_rate: 0.384159 loss_vfl: 0.882711 loss_bbox: 0.344868 loss_dfl: 0.206266 loss: 1.447744 eta: 1 day, 12:48:07 batch_cost: 2.2190 data_cost: 0.0034 ips: 28.8418 images/s [10/17 08:27:34] ppdet.engine INFO: Epoch: [38] [ 80/229] learning_rate: 0.384088 loss_vfl: 0.877494 loss_bbox: 0.333233 loss_dfl: 0.211190 loss: 1.425651 eta: 1 day, 12:47:07 batch_cost: 2.0884 data_cost: 0.0039 ips: 30.6451 images/s [10/17 08:28:22] ppdet.engine INFO: Epoch: [38] [100/229] learning_rate: 0.384016 loss_vfl: 0.899096 loss_bbox: 0.342532 loss_dfl: 0.206457 loss: 1.454975 eta: 1 day, 12:46:24 batch_cost: 2.2253 data_cost: 0.0050 ips: 28.7602 images/s [10/17 08:29:09] ppdet.engine INFO: Epoch: [38] [120/229] learning_rate: 0.383945 loss_vfl: 0.893366 loss_bbox: 0.344831 loss_dfl: 0.211838 loss: 1.447013 eta: 1 day, 12:45:36 batch_cost: 2.1769 data_cost: 0.0061 ips: 29.4000 images/s [10/17 08:29:56] ppdet.engine INFO: Epoch: [38] [140/229] learning_rate: 0.383873 loss_vfl: 0.891917 loss_bbox: 0.323194 loss_dfl: 0.202746 loss: 1.424438 eta: 1 day, 12:44:46 batch_cost: 2.1724 data_cost: 0.0036 ips: 29.4605 images/s [10/17 08:30:42] ppdet.engine INFO: Epoch: [38] [160/229] learning_rate: 0.383801 loss_vfl: 0.910963 loss_bbox: 0.327454 loss_dfl: 0.207810 loss: 1.452623 eta: 1 day, 12:43:49 batch_cost: 2.1144 data_cost: 0.0071 ips: 30.2690 images/s [10/17 08:31:28] ppdet.engine INFO: Epoch: [38] [180/229] learning_rate: 0.383728 loss_vfl: 0.894085 loss_bbox: 0.347255 loss_dfl: 0.214988 loss: 1.440885 eta: 1 day, 12:42:57 batch_cost: 2.1493 data_cost: 0.0049 ips: 29.7774 images/s [10/17 08:32:15] ppdet.engine INFO: Epoch: [38] [200/229] learning_rate: 0.383656 loss_vfl: 0.884834 loss_bbox: 0.343840 loss_dfl: 0.206877 loss: 1.422067 eta: 1 day, 12:42:01 batch_cost: 2.1249 data_cost: 0.0045 ips: 30.1196 images/s [10/17 08:32:52] ppdet.engine INFO: Epoch: [38] [220/229] learning_rate: 0.383584 loss_vfl: 0.905690 loss_bbox: 0.353554 loss_dfl: 0.212044 loss: 1.458590 eta: 1 day, 12:40:11 batch_cost: 1.7172 data_cost: 0.0036 ips: 37.2710 images/s [10/17 08:33:37] ppdet.engine INFO: Epoch: [39] [ 0/229] learning_rate: 0.383551 loss_vfl: 0.877085 loss_bbox: 0.350030 loss_dfl: 0.211575 loss: 1.433731 eta: 1 day, 12:42:06 batch_cost: 2.7893 data_cost: 0.5793 ips: 22.9452 images/s [10/17 08:34:23] ppdet.engine INFO: Epoch: [39] [ 20/229] learning_rate: 0.383478 loss_vfl: 0.889549 loss_bbox: 0.328658 loss_dfl: 0.202990 loss: 1.434670 eta: 1 day, 12:41:15 batch_cost: 2.1609 data_cost: 0.0046 ips: 29.6172 images/s [10/17 08:35:11] ppdet.engine INFO: Epoch: [39] [ 40/229] learning_rate: 0.383405 loss_vfl: 0.875011 loss_bbox: 0.339632 loss_dfl: 0.212909 loss: 1.451047 eta: 1 day, 12:40:29 batch_cost: 2.1965 data_cost: 0.0049 ips: 29.1371 images/s [10/17 08:35:59] ppdet.engine INFO: Epoch: [39] [ 60/229] learning_rate: 0.383332 loss_vfl: 0.873085 loss_bbox: 0.343536 loss_dfl: 0.209609 loss: 1.433605 eta: 1 day, 12:39:51 batch_cost: 2.2556 data_cost: 0.0028 ips: 28.3735 images/s [10/17 08:36:46] ppdet.engine INFO: Epoch: [39] [ 80/229] learning_rate: 0.383259 loss_vfl: 0.883329 loss_bbox: 0.321749 loss_dfl: 0.196603 loss: 1.415510 eta: 1 day, 12:39:01 batch_cost: 2.1668 data_cost: 0.0035 ips: 29.5363 images/s [10/17 08:37:32] ppdet.engine INFO: Epoch: [39] [100/229] learning_rate: 0.383186 loss_vfl: 0.888112 loss_bbox: 0.348065 loss_dfl: 0.214785 loss: 1.440719 eta: 1 day, 12:38:07 batch_cost: 2.1390 data_cost: 0.0029 ips: 29.9206 images/s [10/17 08:38:19] ppdet.engine INFO: Epoch: [39] [120/229] learning_rate: 0.383112 loss_vfl: 0.881154 loss_bbox: 0.362574 loss_dfl: 0.214043 loss: 1.432048 eta: 1 day, 12:37:15 batch_cost: 2.1446 data_cost: 0.0039 ips: 29.8422 images/s [10/17 08:39:06] ppdet.engine INFO: Epoch: [39] [140/229] learning_rate: 0.383039 loss_vfl: 0.900297 loss_bbox: 0.319200 loss_dfl: 0.196086 loss: 1.423851 eta: 1 day, 12:36:29 batch_cost: 2.2036 data_cost: 0.0038 ips: 29.0428 images/s [10/17 08:39:53] ppdet.engine INFO: Epoch: [39] [160/229] learning_rate: 0.382965 loss_vfl: 0.876969 loss_bbox: 0.354906 loss_dfl: 0.212266 loss: 1.459275 eta: 1 day, 12:35:34 batch_cost: 2.1215 data_cost: 0.0034 ips: 30.1669 images/s [10/17 08:40:40] ppdet.engine INFO: Epoch: [39] [180/229] learning_rate: 0.382891 loss_vfl: 0.892860 loss_bbox: 0.347764 loss_dfl: 0.209057 loss: 1.426050 eta: 1 day, 12:34:48 batch_cost: 2.1956 data_cost: 0.0068 ips: 29.1495 images/s [10/17 08:41:27] ppdet.engine INFO: Epoch: [39] [200/229] learning_rate: 0.382817 loss_vfl: 0.890437 loss_bbox: 0.337755 loss_dfl: 0.204278 loss: 1.430618 eta: 1 day, 12:33:57 batch_cost: 2.1613 data_cost: 0.0064 ips: 29.6114 images/s [10/17 08:42:05] ppdet.engine INFO: Epoch: [39] [220/229] learning_rate: 0.382743 loss_vfl: 0.892206 loss_bbox: 0.354261 loss_dfl: 0.208827 loss: 1.444150 eta: 1 day, 12:32:11 batch_cost: 1.7338 data_cost: 0.0032 ips: 36.9123 images/s [10/17 08:42:19] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 08:42:19] ppdet.engine INFO: Eval iter: 0 [10/17 08:43:00] ppdet.engine INFO: Eval iter: 100 [10/17 08:43:15] ppdet.engine INFO: Eval iter: 200 [10/17 08:43:30] ppdet.engine INFO: Eval iter: 300 [10/17 08:43:44] ppdet.engine INFO: Eval iter: 400 [10/17 08:43:59] ppdet.engine INFO: Eval iter: 500 [10/17 08:44:15] ppdet.engine INFO: Eval iter: 600 [10/17 08:44:27] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.10s) creating index... index created! [10/17 08:44:28] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.61s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=62.39s). Accumulating evaluation results... DONE (t=11.71s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.265 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.404 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.274 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.263 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.392 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.133 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.460 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.681 [10/17 08:45:50] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.19214598175414 [10/17 08:45:50] ppdet.engine INFO: Best test bbox ap is 0.265. [10/17 08:45:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 08:45:52] ppdet.engine INFO: Epoch: [40] [ 0/229] learning_rate: 0.382709 loss_vfl: 0.887168 loss_bbox: 0.333275 loss_dfl: 0.203419 loss: 1.421849 eta: 1 day, 12:30:45 batch_cost: 1.2668 data_cost: 0.0016 ips: 50.5205 images/s [10/17 08:46:38] ppdet.engine INFO: Epoch: [40] [ 20/229] learning_rate: 0.382635 loss_vfl: 0.888399 loss_bbox: 0.344734 loss_dfl: 0.212933 loss: 1.430853 eta: 1 day, 12:29:58 batch_cost: 2.1837 data_cost: 0.0032 ips: 29.3083 images/s [10/17 08:47:25] ppdet.engine INFO: Epoch: [40] [ 40/229] learning_rate: 0.382560 loss_vfl: 0.896964 loss_bbox: 0.342267 loss_dfl: 0.209005 loss: 1.440155 eta: 1 day, 12:29:01 batch_cost: 2.1077 data_cost: 0.0020 ips: 30.3642 images/s [10/17 08:48:12] ppdet.engine INFO: Epoch: [40] [ 60/229] learning_rate: 0.382485 loss_vfl: 0.869879 loss_bbox: 0.346453 loss_dfl: 0.202369 loss: 1.427678 eta: 1 day, 12:28:18 batch_cost: 2.2158 data_cost: 0.0017 ips: 28.8831 images/s [10/17 08:49:00] ppdet.engine INFO: Epoch: [40] [ 80/229] learning_rate: 0.382410 loss_vfl: 0.899536 loss_bbox: 0.329619 loss_dfl: 0.206921 loss: 1.411264 eta: 1 day, 12:27:26 batch_cost: 2.1525 data_cost: 0.0021 ips: 29.7325 images/s [10/17 08:49:46] ppdet.engine INFO: Epoch: [40] [100/229] learning_rate: 0.382335 loss_vfl: 0.894801 loss_bbox: 0.329203 loss_dfl: 0.203440 loss: 1.436799 eta: 1 day, 12:26:37 batch_cost: 2.1634 data_cost: 0.0016 ips: 29.5837 images/s [10/17 08:50:35] ppdet.engine INFO: Epoch: [40] [120/229] learning_rate: 0.382260 loss_vfl: 0.887345 loss_bbox: 0.342707 loss_dfl: 0.211528 loss: 1.418212 eta: 1 day, 12:25:59 batch_cost: 2.2557 data_cost: 0.0020 ips: 28.3726 images/s [10/17 08:51:23] ppdet.engine INFO: Epoch: [40] [140/229] learning_rate: 0.382185 loss_vfl: 0.876927 loss_bbox: 0.334948 loss_dfl: 0.205204 loss: 1.408863 eta: 1 day, 12:25:19 batch_cost: 2.2448 data_cost: 0.0037 ips: 28.5102 images/s [10/17 08:52:10] ppdet.engine INFO: Epoch: [40] [160/229] learning_rate: 0.382109 loss_vfl: 0.874996 loss_bbox: 0.363811 loss_dfl: 0.213100 loss: 1.479438 eta: 1 day, 12:24:30 batch_cost: 2.1691 data_cost: 0.0035 ips: 29.5049 images/s [10/17 08:52:57] ppdet.engine INFO: Epoch: [40] [180/229] learning_rate: 0.382033 loss_vfl: 0.888262 loss_bbox: 0.338111 loss_dfl: 0.197449 loss: 1.402906 eta: 1 day, 12:23:39 batch_cost: 2.1544 data_cost: 0.0048 ips: 29.7073 images/s [10/17 08:53:44] ppdet.engine INFO: Epoch: [40] [200/229] learning_rate: 0.381957 loss_vfl: 0.879286 loss_bbox: 0.324898 loss_dfl: 0.203097 loss: 1.417484 eta: 1 day, 12:22:44 batch_cost: 2.1214 data_cost: 0.0067 ips: 30.1693 images/s [10/17 08:54:22] ppdet.engine INFO: Epoch: [40] [220/229] learning_rate: 0.381881 loss_vfl: 0.882789 loss_bbox: 0.340276 loss_dfl: 0.207760 loss: 1.435003 eta: 1 day, 12:21:01 batch_cost: 1.7420 data_cost: 0.0038 ips: 36.7391 images/s [10/17 08:55:04] ppdet.engine INFO: Epoch: [41] [ 0/229] learning_rate: 0.381847 loss_vfl: 0.878053 loss_bbox: 0.346158 loss_dfl: 0.207562 loss: 1.426318 eta: 1 day, 12:22:33 batch_cost: 2.6529 data_cost: 0.7818 ips: 24.1243 images/s [10/17 08:55:52] ppdet.engine INFO: Epoch: [41] [ 20/229] learning_rate: 0.381771 loss_vfl: 0.893186 loss_bbox: 0.334129 loss_dfl: 0.201141 loss: 1.425338 eta: 1 day, 12:21:46 batch_cost: 2.1884 data_cost: 0.0028 ips: 29.2454 images/s [10/17 08:56:39] ppdet.engine INFO: Epoch: [41] [ 40/229] learning_rate: 0.381695 loss_vfl: 0.877482 loss_bbox: 0.333580 loss_dfl: 0.208284 loss: 1.421619 eta: 1 day, 12:20:58 batch_cost: 2.1794 data_cost: 0.0033 ips: 29.3663 images/s [10/17 08:57:27] ppdet.engine INFO: Epoch: [41] [ 60/229] learning_rate: 0.381618 loss_vfl: 0.869517 loss_bbox: 0.332795 loss_dfl: 0.199440 loss: 1.420540 eta: 1 day, 12:20:19 batch_cost: 2.2460 data_cost: 0.0027 ips: 28.4950 images/s [10/17 08:58:14] ppdet.engine INFO: Epoch: [41] [ 80/229] learning_rate: 0.381541 loss_vfl: 0.889569 loss_bbox: 0.350945 loss_dfl: 0.214520 loss: 1.443225 eta: 1 day, 12:19:20 batch_cost: 2.0899 data_cost: 0.0025 ips: 30.6228 images/s [10/17 08:59:00] ppdet.engine INFO: Epoch: [41] [100/229] learning_rate: 0.381465 loss_vfl: 0.879625 loss_bbox: 0.322898 loss_dfl: 0.199932 loss: 1.387853 eta: 1 day, 12:18:30 batch_cost: 2.1602 data_cost: 0.0042 ips: 29.6270 images/s [10/17 08:59:48] ppdet.engine INFO: Epoch: [41] [120/229] learning_rate: 0.381388 loss_vfl: 0.894438 loss_bbox: 0.336136 loss_dfl: 0.213743 loss: 1.465616 eta: 1 day, 12:17:46 batch_cost: 2.2080 data_cost: 0.0060 ips: 28.9851 images/s [10/17 09:00:35] ppdet.engine INFO: Epoch: [41] [140/229] learning_rate: 0.381310 loss_vfl: 0.889040 loss_bbox: 0.347282 loss_dfl: 0.207503 loss: 1.457757 eta: 1 day, 12:17:01 batch_cost: 2.2020 data_cost: 0.0030 ips: 29.0645 images/s [10/17 09:01:21] ppdet.engine INFO: Epoch: [41] [160/229] learning_rate: 0.381233 loss_vfl: 0.892993 loss_bbox: 0.352531 loss_dfl: 0.212540 loss: 1.464759 eta: 1 day, 12:16:05 batch_cost: 2.1103 data_cost: 0.0020 ips: 30.3280 images/s [10/17 09:02:07] ppdet.engine INFO: Epoch: [41] [180/229] learning_rate: 0.381156 loss_vfl: 0.884239 loss_bbox: 0.322571 loss_dfl: 0.198627 loss: 1.409291 eta: 1 day, 12:15:05 batch_cost: 2.0762 data_cost: 0.0045 ips: 30.8257 images/s [10/17 09:02:53] ppdet.engine INFO: Epoch: [41] [200/229] learning_rate: 0.381078 loss_vfl: 0.877742 loss_bbox: 0.337940 loss_dfl: 0.201593 loss: 1.404156 eta: 1 day, 12:14:14 batch_cost: 2.1535 data_cost: 0.0039 ips: 29.7194 images/s [10/17 09:03:32] ppdet.engine INFO: Epoch: [41] [220/229] learning_rate: 0.381000 loss_vfl: 0.878139 loss_bbox: 0.355682 loss_dfl: 0.213616 loss: 1.460465 eta: 1 day, 12:12:37 batch_cost: 1.7795 data_cost: 0.0026 ips: 35.9659 images/s [10/17 09:04:16] ppdet.engine INFO: Epoch: [42] [ 0/229] learning_rate: 0.380965 loss_vfl: 0.892547 loss_bbox: 0.351242 loss_dfl: 0.204248 loss: 1.459874 eta: 1 day, 12:14:16 batch_cost: 2.7800 data_cost: 1.0908 ips: 23.0219 images/s [10/17 09:05:03] ppdet.engine INFO: Epoch: [42] [ 20/229] learning_rate: 0.380887 loss_vfl: 0.868010 loss_bbox: 0.327633 loss_dfl: 0.202090 loss: 1.407888 eta: 1 day, 12:13:26 batch_cost: 2.1603 data_cost: 0.0035 ips: 29.6249 images/s [10/17 09:05:50] ppdet.engine INFO: Epoch: [42] [ 40/229] learning_rate: 0.380809 loss_vfl: 0.871613 loss_bbox: 0.358308 loss_dfl: 0.210695 loss: 1.439543 eta: 1 day, 12:12:36 batch_cost: 2.1603 data_cost: 0.0055 ips: 29.6260 images/s [10/17 09:06:37] ppdet.engine INFO: Epoch: [42] [ 60/229] learning_rate: 0.380731 loss_vfl: 0.877291 loss_bbox: 0.333487 loss_dfl: 0.216276 loss: 1.435611 eta: 1 day, 12:11:48 batch_cost: 2.1762 data_cost: 0.0037 ips: 29.4096 images/s [10/17 09:07:25] ppdet.engine INFO: Epoch: [42] [ 80/229] learning_rate: 0.380653 loss_vfl: 0.884977 loss_bbox: 0.338093 loss_dfl: 0.214255 loss: 1.452148 eta: 1 day, 12:11:02 batch_cost: 2.1935 data_cost: 0.0029 ips: 29.1771 images/s [10/17 09:08:13] ppdet.engine INFO: Epoch: [42] [100/229] learning_rate: 0.380574 loss_vfl: 0.897256 loss_bbox: 0.329153 loss_dfl: 0.204618 loss: 1.428023 eta: 1 day, 12:10:20 batch_cost: 2.2191 data_cost: 0.0046 ips: 28.8400 images/s [10/17 09:08:59] ppdet.engine INFO: Epoch: [42] [120/229] learning_rate: 0.380495 loss_vfl: 0.896190 loss_bbox: 0.325661 loss_dfl: 0.197991 loss: 1.422312 eta: 1 day, 12:09:28 batch_cost: 2.1442 data_cost: 0.0069 ips: 29.8480 images/s [10/17 09:09:45] ppdet.engine INFO: Epoch: [42] [140/229] learning_rate: 0.380417 loss_vfl: 0.890803 loss_bbox: 0.348705 loss_dfl: 0.208303 loss: 1.443605 eta: 1 day, 12:08:31 batch_cost: 2.1024 data_cost: 0.0028 ips: 30.4408 images/s [10/17 09:10:33] ppdet.engine INFO: Epoch: [42] [160/229] learning_rate: 0.380338 loss_vfl: 0.904819 loss_bbox: 0.323181 loss_dfl: 0.201751 loss: 1.440905 eta: 1 day, 12:07:46 batch_cost: 2.1977 data_cost: 0.0045 ips: 29.1219 images/s [10/17 09:11:21] ppdet.engine INFO: Epoch: [42] [180/229] learning_rate: 0.380258 loss_vfl: 0.882978 loss_bbox: 0.358056 loss_dfl: 0.214845 loss: 1.462418 eta: 1 day, 12:07:02 batch_cost: 2.2156 data_cost: 0.0068 ips: 28.8859 images/s [10/17 09:12:09] ppdet.engine INFO: Epoch: [42] [200/229] learning_rate: 0.380179 loss_vfl: 0.886413 loss_bbox: 0.326900 loss_dfl: 0.199966 loss: 1.426154 eta: 1 day, 12:06:24 batch_cost: 2.2522 data_cost: 0.0052 ips: 28.4171 images/s [10/17 09:12:47] ppdet.engine INFO: Epoch: [42] [220/229] learning_rate: 0.380100 loss_vfl: 0.880507 loss_bbox: 0.311345 loss_dfl: 0.192054 loss: 1.403446 eta: 1 day, 12:04:49 batch_cost: 1.7829 data_cost: 0.0029 ips: 35.8963 images/s [10/17 09:13:30] ppdet.engine INFO: Epoch: [43] [ 0/229] learning_rate: 0.380064 loss_vfl: 0.887118 loss_bbox: 0.326474 loss_dfl: 0.195674 loss: 1.403446 eta: 1 day, 12:06:15 batch_cost: 2.6658 data_cost: 0.9722 ips: 24.0077 images/s [10/17 09:14:17] ppdet.engine INFO: Epoch: [43] [ 20/229] learning_rate: 0.379984 loss_vfl: 0.868133 loss_bbox: 0.315802 loss_dfl: 0.200968 loss: 1.386612 eta: 1 day, 12:05:22 batch_cost: 2.1367 data_cost: 0.0029 ips: 29.9524 images/s [10/17 09:15:04] ppdet.engine INFO: Epoch: [43] [ 40/229] learning_rate: 0.379904 loss_vfl: 0.865275 loss_bbox: 0.323763 loss_dfl: 0.208565 loss: 1.388650 eta: 1 day, 12:04:33 batch_cost: 2.1684 data_cost: 0.0048 ips: 29.5153 images/s [10/17 09:15:51] ppdet.engine INFO: Epoch: [43] [ 60/229] learning_rate: 0.379824 loss_vfl: 0.881730 loss_bbox: 0.322285 loss_dfl: 0.194272 loss: 1.396749 eta: 1 day, 12:03:48 batch_cost: 2.1968 data_cost: 0.0031 ips: 29.1327 images/s [10/17 09:16:39] ppdet.engine INFO: Epoch: [43] [ 80/229] learning_rate: 0.379744 loss_vfl: 0.881957 loss_bbox: 0.323855 loss_dfl: 0.202407 loss: 1.440947 eta: 1 day, 12:03:05 batch_cost: 2.2216 data_cost: 0.0042 ips: 28.8085 images/s [10/17 09:17:26] ppdet.engine INFO: Epoch: [43] [100/229] learning_rate: 0.379664 loss_vfl: 0.886701 loss_bbox: 0.334590 loss_dfl: 0.208005 loss: 1.437273 eta: 1 day, 12:02:16 batch_cost: 2.1646 data_cost: 0.0060 ips: 29.5668 images/s [10/17 09:18:14] ppdet.engine INFO: Epoch: [43] [120/229] learning_rate: 0.379583 loss_vfl: 0.900569 loss_bbox: 0.337228 loss_dfl: 0.213471 loss: 1.442429 eta: 1 day, 12:01:27 batch_cost: 2.1655 data_cost: 0.0023 ips: 29.5545 images/s [10/17 09:19:01] ppdet.engine INFO: Epoch: [43] [140/229] learning_rate: 0.379503 loss_vfl: 0.889414 loss_bbox: 0.320447 loss_dfl: 0.205313 loss: 1.418846 eta: 1 day, 12:00:44 batch_cost: 2.2175 data_cost: 0.0041 ips: 28.8614 images/s [10/17 09:19:48] ppdet.engine INFO: Epoch: [43] [160/229] learning_rate: 0.379422 loss_vfl: 0.890168 loss_bbox: 0.338435 loss_dfl: 0.206233 loss: 1.424075 eta: 1 day, 11:59:53 batch_cost: 2.1519 data_cost: 0.0037 ips: 29.7409 images/s [10/17 09:20:35] ppdet.engine INFO: Epoch: [43] [180/229] learning_rate: 0.379341 loss_vfl: 0.898388 loss_bbox: 0.329456 loss_dfl: 0.206783 loss: 1.425189 eta: 1 day, 11:59:04 batch_cost: 2.1719 data_cost: 0.0039 ips: 29.4669 images/s [10/17 09:21:21] ppdet.engine INFO: Epoch: [43] [200/229] learning_rate: 0.379260 loss_vfl: 0.884321 loss_bbox: 0.337324 loss_dfl: 0.206430 loss: 1.419784 eta: 1 day, 11:58:14 batch_cost: 2.1530 data_cost: 0.0047 ips: 29.7264 images/s [10/17 09:21:59] ppdet.engine INFO: Epoch: [43] [220/229] learning_rate: 0.379179 loss_vfl: 0.895940 loss_bbox: 0.320399 loss_dfl: 0.208055 loss: 1.442640 eta: 1 day, 11:56:39 batch_cost: 1.7686 data_cost: 0.0022 ips: 36.1872 images/s [10/17 09:22:41] ppdet.engine INFO: Epoch: [44] [ 0/229] learning_rate: 0.379142 loss_vfl: 0.893032 loss_bbox: 0.350449 loss_dfl: 0.210065 loss: 1.445815 eta: 1 day, 11:57:59 batch_cost: 2.6560 data_cost: 0.7828 ips: 24.0964 images/s [10/17 09:23:30] ppdet.engine INFO: Epoch: [44] [ 20/229] learning_rate: 0.379061 loss_vfl: 0.876767 loss_bbox: 0.332381 loss_dfl: 0.210728 loss: 1.430644 eta: 1 day, 11:57:19 batch_cost: 2.2439 data_cost: 0.0051 ips: 28.5221 images/s [10/17 09:24:17] ppdet.engine INFO: Epoch: [44] [ 40/229] learning_rate: 0.378979 loss_vfl: 0.869631 loss_bbox: 0.333219 loss_dfl: 0.203790 loss: 1.398632 eta: 1 day, 11:56:26 batch_cost: 2.1385 data_cost: 0.0032 ips: 29.9275 images/s [10/17 09:25:04] ppdet.engine INFO: Epoch: [44] [ 60/229] learning_rate: 0.378898 loss_vfl: 0.879385 loss_bbox: 0.338060 loss_dfl: 0.207561 loss: 1.432290 eta: 1 day, 11:55:39 batch_cost: 2.1812 data_cost: 0.0049 ips: 29.3415 images/s [10/17 09:25:50] ppdet.engine INFO: Epoch: [44] [ 80/229] learning_rate: 0.378816 loss_vfl: 0.876654 loss_bbox: 0.338682 loss_dfl: 0.204211 loss: 1.420784 eta: 1 day, 11:54:47 batch_cost: 2.1350 data_cost: 0.0022 ips: 29.9759 images/s [10/17 09:26:37] ppdet.engine INFO: Epoch: [44] [100/229] learning_rate: 0.378734 loss_vfl: 0.879681 loss_bbox: 0.341421 loss_dfl: 0.207479 loss: 1.461443 eta: 1 day, 11:53:57 batch_cost: 2.1584 data_cost: 0.0018 ips: 29.6512 images/s [10/17 09:27:23] ppdet.engine INFO: Epoch: [44] [120/229] learning_rate: 0.378652 loss_vfl: 0.888029 loss_bbox: 0.327998 loss_dfl: 0.196772 loss: 1.399566 eta: 1 day, 11:53:02 batch_cost: 2.1173 data_cost: 0.0020 ips: 30.2266 images/s [10/17 09:28:10] ppdet.engine INFO: Epoch: [44] [140/229] learning_rate: 0.378569 loss_vfl: 0.883198 loss_bbox: 0.335588 loss_dfl: 0.208328 loss: 1.418380 eta: 1 day, 11:52:17 batch_cost: 2.1995 data_cost: 0.0052 ips: 29.0969 images/s [10/17 09:28:58] ppdet.engine INFO: Epoch: [44] [160/229] learning_rate: 0.378487 loss_vfl: 0.883105 loss_bbox: 0.323417 loss_dfl: 0.208951 loss: 1.411049 eta: 1 day, 11:51:35 batch_cost: 2.2314 data_cost: 0.0039 ips: 28.6816 images/s [10/17 09:29:45] ppdet.engine INFO: Epoch: [44] [180/229] learning_rate: 0.378404 loss_vfl: 0.891258 loss_bbox: 0.351182 loss_dfl: 0.214447 loss: 1.449506 eta: 1 day, 11:50:43 batch_cost: 2.1356 data_cost: 0.0040 ips: 29.9679 images/s [10/17 09:30:33] ppdet.engine INFO: Epoch: [44] [200/229] learning_rate: 0.378322 loss_vfl: 0.901987 loss_bbox: 0.335119 loss_dfl: 0.195095 loss: 1.412106 eta: 1 day, 11:50:00 batch_cost: 2.2199 data_cost: 0.0041 ips: 28.8306 images/s [10/17 09:31:11] ppdet.engine INFO: Epoch: [44] [220/229] learning_rate: 0.378239 loss_vfl: 0.878976 loss_bbox: 0.332244 loss_dfl: 0.203120 loss: 1.432022 eta: 1 day, 11:48:22 batch_cost: 1.7360 data_cost: 0.0025 ips: 36.8656 images/s [10/17 09:31:52] ppdet.engine INFO: Epoch: [45] [ 0/229] learning_rate: 0.378201 loss_vfl: 0.870602 loss_bbox: 0.338169 loss_dfl: 0.209933 loss: 1.435690 eta: 1 day, 11:49:42 batch_cost: 2.6639 data_cost: 0.9073 ips: 24.0253 images/s [10/17 09:32:42] ppdet.engine INFO: Epoch: [45] [ 20/229] learning_rate: 0.378118 loss_vfl: 0.870054 loss_bbox: 0.320776 loss_dfl: 0.198716 loss: 1.381757 eta: 1 day, 11:49:10 batch_cost: 2.3169 data_cost: 0.0048 ips: 27.6234 images/s [10/17 09:33:29] ppdet.engine INFO: Epoch: [45] [ 40/229] learning_rate: 0.378035 loss_vfl: 0.883657 loss_bbox: 0.326702 loss_dfl: 0.200441 loss: 1.378372 eta: 1 day, 11:48:23 batch_cost: 2.1826 data_cost: 0.0060 ips: 29.3229 images/s [10/17 09:34:17] ppdet.engine INFO: Epoch: [45] [ 60/229] learning_rate: 0.377952 loss_vfl: 0.872698 loss_bbox: 0.344707 loss_dfl: 0.201989 loss: 1.419544 eta: 1 day, 11:47:39 batch_cost: 2.2097 data_cost: 0.0045 ips: 28.9626 images/s [10/17 09:35:06] ppdet.engine INFO: Epoch: [45] [ 80/229] learning_rate: 0.377868 loss_vfl: 0.857867 loss_bbox: 0.350637 loss_dfl: 0.205847 loss: 1.416621 eta: 1 day, 11:46:54 batch_cost: 2.1987 data_cost: 0.0049 ips: 29.1076 images/s [10/17 09:35:53] ppdet.engine INFO: Epoch: [45] [100/229] learning_rate: 0.377784 loss_vfl: 0.879977 loss_bbox: 0.331568 loss_dfl: 0.208748 loss: 1.425682 eta: 1 day, 11:46:08 batch_cost: 2.1939 data_cost: 0.0039 ips: 29.1714 images/s [10/17 09:36:39] ppdet.engine INFO: Epoch: [45] [120/229] learning_rate: 0.377700 loss_vfl: 0.881741 loss_bbox: 0.341386 loss_dfl: 0.213191 loss: 1.444349 eta: 1 day, 11:45:11 batch_cost: 2.0966 data_cost: 0.0024 ips: 30.5263 images/s [10/17 09:37:27] ppdet.engine INFO: Epoch: [45] [140/229] learning_rate: 0.377616 loss_vfl: 0.896707 loss_bbox: 0.336676 loss_dfl: 0.203074 loss: 1.427444 eta: 1 day, 11:44:27 batch_cost: 2.2077 data_cost: 0.0067 ips: 28.9891 images/s [10/17 09:38:13] ppdet.engine INFO: Epoch: [45] [160/229] learning_rate: 0.377532 loss_vfl: 0.890561 loss_bbox: 0.342851 loss_dfl: 0.209360 loss: 1.434007 eta: 1 day, 11:43:38 batch_cost: 2.1645 data_cost: 0.0039 ips: 29.5678 images/s [10/17 09:39:00] ppdet.engine INFO: Epoch: [45] [180/229] learning_rate: 0.377448 loss_vfl: 0.877425 loss_bbox: 0.332486 loss_dfl: 0.204653 loss: 1.420721 eta: 1 day, 11:42:45 batch_cost: 2.1300 data_cost: 0.0019 ips: 30.0469 images/s [10/17 09:39:47] ppdet.engine INFO: Epoch: [45] [200/229] learning_rate: 0.377363 loss_vfl: 0.870602 loss_bbox: 0.321977 loss_dfl: 0.190853 loss: 1.376639 eta: 1 day, 11:41:58 batch_cost: 2.1891 data_cost: 0.0029 ips: 29.2352 images/s [10/17 09:40:24] ppdet.engine INFO: Epoch: [45] [220/229] learning_rate: 0.377279 loss_vfl: 0.873498 loss_bbox: 0.342166 loss_dfl: 0.204845 loss: 1.428721 eta: 1 day, 11:40:21 batch_cost: 1.7253 data_cost: 0.0018 ips: 37.0959 images/s [10/17 09:41:06] ppdet.engine INFO: Epoch: [46] [ 0/229] learning_rate: 0.377241 loss_vfl: 0.878961 loss_bbox: 0.340861 loss_dfl: 0.205060 loss: 1.428752 eta: 1 day, 11:41:37 batch_cost: 2.6388 data_cost: 0.6950 ips: 24.2537 images/s [10/17 09:41:54] ppdet.engine INFO: Epoch: [46] [ 20/229] learning_rate: 0.377156 loss_vfl: 0.865907 loss_bbox: 0.327111 loss_dfl: 0.193574 loss: 1.381768 eta: 1 day, 11:40:48 batch_cost: 2.1650 data_cost: 0.0026 ips: 29.5606 images/s [10/17 09:42:41] ppdet.engine INFO: Epoch: [46] [ 40/229] learning_rate: 0.377071 loss_vfl: 0.900779 loss_bbox: 0.337259 loss_dfl: 0.204330 loss: 1.440256 eta: 1 day, 11:40:00 batch_cost: 2.1819 data_cost: 0.0052 ips: 29.3325 images/s [10/17 09:43:29] ppdet.engine INFO: Epoch: [46] [ 60/229] learning_rate: 0.376986 loss_vfl: 0.872259 loss_bbox: 0.331724 loss_dfl: 0.209310 loss: 1.419449 eta: 1 day, 11:39:16 batch_cost: 2.2032 data_cost: 0.0037 ips: 29.0491 images/s [10/17 09:44:17] ppdet.engine INFO: Epoch: [46] [ 80/229] learning_rate: 0.376901 loss_vfl: 0.876854 loss_bbox: 0.328634 loss_dfl: 0.207402 loss: 1.445836 eta: 1 day, 11:38:32 batch_cost: 2.2126 data_cost: 0.0030 ips: 28.9259 images/s [10/17 09:45:04] ppdet.engine INFO: Epoch: [46] [100/229] learning_rate: 0.376815 loss_vfl: 0.867545 loss_bbox: 0.337426 loss_dfl: 0.198934 loss: 1.393235 eta: 1 day, 11:37:41 batch_cost: 2.1460 data_cost: 0.0031 ips: 29.8228 images/s [10/17 09:45:51] ppdet.engine INFO: Epoch: [46] [120/229] learning_rate: 0.376730 loss_vfl: 0.911284 loss_bbox: 0.333670 loss_dfl: 0.207646 loss: 1.427832 eta: 1 day, 11:36:52 batch_cost: 2.1697 data_cost: 0.0030 ips: 29.4967 images/s [10/17 09:46:37] ppdet.engine INFO: Epoch: [46] [140/229] learning_rate: 0.376644 loss_vfl: 0.878702 loss_bbox: 0.345484 loss_dfl: 0.200908 loss: 1.432225 eta: 1 day, 11:35:57 batch_cost: 2.1072 data_cost: 0.0043 ips: 30.3727 images/s [10/17 09:47:24] ppdet.engine INFO: Epoch: [46] [160/229] learning_rate: 0.376558 loss_vfl: 0.880521 loss_bbox: 0.356398 loss_dfl: 0.204974 loss: 1.428205 eta: 1 day, 11:35:09 batch_cost: 2.1750 data_cost: 0.0019 ips: 29.4255 images/s [10/17 09:48:10] ppdet.engine INFO: Epoch: [46] [180/229] learning_rate: 0.376472 loss_vfl: 0.884360 loss_bbox: 0.344436 loss_dfl: 0.208426 loss: 1.427172 eta: 1 day, 11:34:17 batch_cost: 2.1353 data_cost: 0.0042 ips: 29.9720 images/s [10/17 09:48:56] ppdet.engine INFO: Epoch: [46] [200/229] learning_rate: 0.376386 loss_vfl: 0.895411 loss_bbox: 0.332781 loss_dfl: 0.203593 loss: 1.440662 eta: 1 day, 11:33:25 batch_cost: 2.1310 data_cost: 0.0049 ips: 30.0332 images/s [10/17 09:49:34] ppdet.engine INFO: Epoch: [46] [220/229] learning_rate: 0.376300 loss_vfl: 0.898162 loss_bbox: 0.324736 loss_dfl: 0.200501 loss: 1.424586 eta: 1 day, 11:31:54 batch_cost: 1.7751 data_cost: 0.0027 ips: 36.0534 images/s [10/17 09:50:19] ppdet.engine INFO: Epoch: [47] [ 0/229] learning_rate: 0.376261 loss_vfl: 0.888813 loss_bbox: 0.319391 loss_dfl: 0.197433 loss: 1.414972 eta: 1 day, 11:33:21 batch_cost: 2.7944 data_cost: 1.2745 ips: 22.9030 images/s [10/17 09:51:07] ppdet.engine INFO: Epoch: [47] [ 20/229] learning_rate: 0.376174 loss_vfl: 0.872329 loss_bbox: 0.357000 loss_dfl: 0.215321 loss: 1.442761 eta: 1 day, 11:32:40 batch_cost: 2.2417 data_cost: 0.0047 ips: 28.5502 images/s [10/17 09:51:54] ppdet.engine INFO: Epoch: [47] [ 40/229] learning_rate: 0.376088 loss_vfl: 0.884928 loss_bbox: 0.322894 loss_dfl: 0.200157 loss: 1.415342 eta: 1 day, 11:31:54 batch_cost: 2.1865 data_cost: 0.0036 ips: 29.2700 images/s [10/17 09:52:41] ppdet.engine INFO: Epoch: [47] [ 60/229] learning_rate: 0.376001 loss_vfl: 0.877925 loss_bbox: 0.333169 loss_dfl: 0.216242 loss: 1.427858 eta: 1 day, 11:31:05 batch_cost: 2.1632 data_cost: 0.0022 ips: 29.5859 images/s [10/17 09:53:28] ppdet.engine INFO: Epoch: [47] [ 80/229] learning_rate: 0.375914 loss_vfl: 0.870104 loss_bbox: 0.343851 loss_dfl: 0.205297 loss: 1.420109 eta: 1 day, 11:30:20 batch_cost: 2.2015 data_cost: 0.0033 ips: 29.0707 images/s [10/17 09:54:15] ppdet.engine INFO: Epoch: [47] [100/229] learning_rate: 0.375827 loss_vfl: 0.886369 loss_bbox: 0.334133 loss_dfl: 0.209547 loss: 1.439026 eta: 1 day, 11:29:26 batch_cost: 2.1204 data_cost: 0.0022 ips: 30.1831 images/s [10/17 09:55:01] ppdet.engine INFO: Epoch: [47] [120/229] learning_rate: 0.375739 loss_vfl: 0.882107 loss_bbox: 0.343062 loss_dfl: 0.205754 loss: 1.447007 eta: 1 day, 11:28:36 batch_cost: 2.1517 data_cost: 0.0033 ips: 29.7443 images/s [10/17 09:55:49] ppdet.engine INFO: Epoch: [47] [140/229] learning_rate: 0.375652 loss_vfl: 0.876953 loss_bbox: 0.315887 loss_dfl: 0.193973 loss: 1.397999 eta: 1 day, 11:27:55 batch_cost: 2.2397 data_cost: 0.0026 ips: 28.5753 images/s [10/17 09:56:37] ppdet.engine INFO: Epoch: [47] [160/229] learning_rate: 0.375564 loss_vfl: 0.885696 loss_bbox: 0.347478 loss_dfl: 0.208530 loss: 1.451877 eta: 1 day, 11:27:10 batch_cost: 2.2029 data_cost: 0.0040 ips: 29.0530 images/s [10/17 09:57:24] ppdet.engine INFO: Epoch: [47] [180/229] learning_rate: 0.375477 loss_vfl: 0.885559 loss_bbox: 0.319594 loss_dfl: 0.200066 loss: 1.430130 eta: 1 day, 11:26:21 batch_cost: 2.1603 data_cost: 0.0041 ips: 29.6254 images/s [10/17 09:58:10] ppdet.engine INFO: Epoch: [47] [200/229] learning_rate: 0.375389 loss_vfl: 0.877104 loss_bbox: 0.334162 loss_dfl: 0.212116 loss: 1.426006 eta: 1 day, 11:25:28 batch_cost: 2.1291 data_cost: 0.0030 ips: 30.0592 images/s [10/17 09:58:48] ppdet.engine INFO: Epoch: [47] [220/229] learning_rate: 0.375301 loss_vfl: 0.881891 loss_bbox: 0.342692 loss_dfl: 0.204649 loss: 1.420361 eta: 1 day, 11:23:56 batch_cost: 1.7509 data_cost: 0.0018 ips: 36.5532 images/s [10/17 09:59:32] ppdet.engine INFO: Epoch: [48] [ 0/229] learning_rate: 0.375261 loss_vfl: 0.880289 loss_bbox: 0.338151 loss_dfl: 0.206596 loss: 1.426208 eta: 1 day, 11:25:18 batch_cost: 2.7434 data_cost: 1.2094 ips: 23.3285 images/s [10/17 10:00:19] ppdet.engine INFO: Epoch: [48] [ 20/229] learning_rate: 0.375173 loss_vfl: 0.884061 loss_bbox: 0.327310 loss_dfl: 0.208765 loss: 1.436144 eta: 1 day, 11:24:29 batch_cost: 2.1706 data_cost: 0.0045 ips: 29.4845 images/s [10/17 10:01:06] ppdet.engine INFO: Epoch: [48] [ 40/229] learning_rate: 0.375085 loss_vfl: 0.882933 loss_bbox: 0.312141 loss_dfl: 0.198604 loss: 1.392381 eta: 1 day, 11:23:46 batch_cost: 2.2189 data_cost: 0.0041 ips: 28.8438 images/s [10/17 10:01:53] ppdet.engine INFO: Epoch: [48] [ 60/229] learning_rate: 0.374996 loss_vfl: 0.874956 loss_bbox: 0.332819 loss_dfl: 0.203476 loss: 1.426516 eta: 1 day, 11:22:59 batch_cost: 2.1789 data_cost: 0.0035 ips: 29.3726 images/s [10/17 10:02:40] ppdet.engine INFO: Epoch: [48] [ 80/229] learning_rate: 0.374908 loss_vfl: 0.870527 loss_bbox: 0.341184 loss_dfl: 0.203902 loss: 1.431967 eta: 1 day, 11:22:10 batch_cost: 2.1686 data_cost: 0.0048 ips: 29.5115 images/s [10/17 10:03:27] ppdet.engine INFO: Epoch: [48] [100/229] learning_rate: 0.374819 loss_vfl: 0.872058 loss_bbox: 0.352863 loss_dfl: 0.209818 loss: 1.438117 eta: 1 day, 11:21:19 batch_cost: 2.1376 data_cost: 0.0031 ips: 29.9400 images/s [10/17 10:04:14] ppdet.engine INFO: Epoch: [48] [120/229] learning_rate: 0.374730 loss_vfl: 0.877203 loss_bbox: 0.328290 loss_dfl: 0.206871 loss: 1.419678 eta: 1 day, 11:20:30 batch_cost: 2.1631 data_cost: 0.0052 ips: 29.5873 images/s [10/17 10:05:01] ppdet.engine INFO: Epoch: [48] [140/229] learning_rate: 0.374641 loss_vfl: 0.888958 loss_bbox: 0.347039 loss_dfl: 0.208986 loss: 1.449189 eta: 1 day, 11:19:41 batch_cost: 2.1648 data_cost: 0.0047 ips: 29.5644 images/s [10/17 10:05:48] ppdet.engine INFO: Epoch: [48] [160/229] learning_rate: 0.374552 loss_vfl: 0.880589 loss_bbox: 0.307506 loss_dfl: 0.194964 loss: 1.402843 eta: 1 day, 11:18:55 batch_cost: 2.1946 data_cost: 0.0032 ips: 29.1621 images/s [10/17 10:06:35] ppdet.engine INFO: Epoch: [48] [180/229] learning_rate: 0.374462 loss_vfl: 0.880542 loss_bbox: 0.340964 loss_dfl: 0.207212 loss: 1.428976 eta: 1 day, 11:18:10 batch_cost: 2.1948 data_cost: 0.0026 ips: 29.1597 images/s [10/17 10:07:21] ppdet.engine INFO: Epoch: [48] [200/229] learning_rate: 0.374373 loss_vfl: 0.866536 loss_bbox: 0.311086 loss_dfl: 0.193703 loss: 1.387572 eta: 1 day, 11:17:15 batch_cost: 2.1079 data_cost: 0.0031 ips: 30.3616 images/s [10/17 10:08:00] ppdet.engine INFO: Epoch: [48] [220/229] learning_rate: 0.374283 loss_vfl: 0.886882 loss_bbox: 0.339150 loss_dfl: 0.222399 loss: 1.465259 eta: 1 day, 11:15:52 batch_cost: 1.8285 data_cost: 0.0025 ips: 35.0007 images/s [10/17 10:08:43] ppdet.engine INFO: Epoch: [49] [ 0/229] learning_rate: 0.374243 loss_vfl: 0.880657 loss_bbox: 0.339927 loss_dfl: 0.219658 loss: 1.447917 eta: 1 day, 11:16:59 batch_cost: 2.6771 data_cost: 0.8483 ips: 23.9062 images/s [10/17 10:09:31] ppdet.engine INFO: Epoch: [49] [ 20/229] learning_rate: 0.374153 loss_vfl: 0.865415 loss_bbox: 0.311855 loss_dfl: 0.195497 loss: 1.395094 eta: 1 day, 11:16:19 batch_cost: 2.2498 data_cost: 0.0036 ips: 28.4475 images/s [10/17 10:10:19] ppdet.engine INFO: Epoch: [49] [ 40/229] learning_rate: 0.374063 loss_vfl: 0.874084 loss_bbox: 0.341387 loss_dfl: 0.207271 loss: 1.414343 eta: 1 day, 11:15:35 batch_cost: 2.2105 data_cost: 0.0034 ips: 28.9530 images/s [10/17 10:11:06] ppdet.engine INFO: Epoch: [49] [ 60/229] learning_rate: 0.373973 loss_vfl: 0.900190 loss_bbox: 0.325519 loss_dfl: 0.207229 loss: 1.441293 eta: 1 day, 11:14:49 batch_cost: 2.1936 data_cost: 0.0068 ips: 29.1754 images/s [10/17 10:11:53] ppdet.engine INFO: Epoch: [49] [ 80/229] learning_rate: 0.373882 loss_vfl: 0.872181 loss_bbox: 0.335282 loss_dfl: 0.206390 loss: 1.416541 eta: 1 day, 11:14:06 batch_cost: 2.2213 data_cost: 0.0033 ips: 28.8122 images/s [10/17 10:12:39] ppdet.engine INFO: Epoch: [49] [100/229] learning_rate: 0.373792 loss_vfl: 0.890765 loss_bbox: 0.309562 loss_dfl: 0.207991 loss: 1.403698 eta: 1 day, 11:13:09 batch_cost: 2.0906 data_cost: 0.0037 ips: 30.6134 images/s [10/17 10:13:26] ppdet.engine INFO: Epoch: [49] [120/229] learning_rate: 0.373701 loss_vfl: 0.863959 loss_bbox: 0.318854 loss_dfl: 0.197303 loss: 1.376354 eta: 1 day, 11:12:23 batch_cost: 2.1878 data_cost: 0.0019 ips: 29.2532 images/s [10/17 10:14:14] ppdet.engine INFO: Epoch: [49] [140/229] learning_rate: 0.373611 loss_vfl: 0.913686 loss_bbox: 0.338075 loss_dfl: 0.210831 loss: 1.447842 eta: 1 day, 11:11:37 batch_cost: 2.1953 data_cost: 0.0044 ips: 29.1528 images/s [10/17 10:15:01] ppdet.engine INFO: Epoch: [49] [160/229] learning_rate: 0.373520 loss_vfl: 0.892270 loss_bbox: 0.325437 loss_dfl: 0.201707 loss: 1.415266 eta: 1 day, 11:10:51 batch_cost: 2.1851 data_cost: 0.0023 ips: 29.2898 images/s [10/17 10:15:48] ppdet.engine INFO: Epoch: [49] [180/229] learning_rate: 0.373429 loss_vfl: 0.887923 loss_bbox: 0.327184 loss_dfl: 0.210523 loss: 1.437002 eta: 1 day, 11:10:00 batch_cost: 2.1493 data_cost: 0.0037 ips: 29.7770 images/s [10/17 10:16:35] ppdet.engine INFO: Epoch: [49] [200/229] learning_rate: 0.373338 loss_vfl: 0.878979 loss_bbox: 0.336234 loss_dfl: 0.203451 loss: 1.424156 eta: 1 day, 11:09:11 batch_cost: 2.1573 data_cost: 0.0028 ips: 29.6666 images/s [10/17 10:17:15] ppdet.engine INFO: Epoch: [49] [220/229] learning_rate: 0.373246 loss_vfl: 0.877259 loss_bbox: 0.340532 loss_dfl: 0.203697 loss: 1.437450 eta: 1 day, 11:07:50 batch_cost: 1.8364 data_cost: 0.0030 ips: 34.8514 images/s [10/17 10:17:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 10:17:30] ppdet.engine INFO: Eval iter: 0 [10/17 10:18:10] ppdet.engine INFO: Eval iter: 100 [10/17 10:18:25] ppdet.engine INFO: Eval iter: 200 [10/17 10:18:40] ppdet.engine INFO: Eval iter: 300 [10/17 10:18:55] ppdet.engine INFO: Eval iter: 400 [10/17 10:19:11] ppdet.engine INFO: Eval iter: 500 [10/17 10:19:26] ppdet.engine INFO: Eval iter: 600 [10/17 10:19:38] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.52s) creating index... index created! [10/17 10:19:38] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.34s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.66s). Accumulating evaluation results... DONE (t=12.26s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.270 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.280 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.272 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 ] = 0.253 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.397 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.688 [10/17 10:21:00] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.95981808080798 [10/17 10:21:00] ppdet.engine INFO: Best test bbox ap is 0.270. [10/17 10:21:00] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 10:21:01] ppdet.engine INFO: Epoch: [50] [ 0/229] learning_rate: 0.373205 loss_vfl: 0.879881 loss_bbox: 0.344370 loss_dfl: 0.208692 loss: 1.446955 eta: 1 day, 11:06:40 batch_cost: 1.3199 data_cost: 0.0023 ips: 48.4892 images/s [10/17 10:21:49] ppdet.engine INFO: Epoch: [50] [ 20/229] learning_rate: 0.373114 loss_vfl: 0.866380 loss_bbox: 0.343120 loss_dfl: 0.205412 loss: 1.423286 eta: 1 day, 11:05:56 batch_cost: 2.2078 data_cost: 0.0051 ips: 28.9887 images/s [10/17 10:22:36] ppdet.engine INFO: Epoch: [50] [ 40/229] learning_rate: 0.373022 loss_vfl: 0.892198 loss_bbox: 0.338326 loss_dfl: 0.221147 loss: 1.468086 eta: 1 day, 11:05:10 batch_cost: 2.1907 data_cost: 0.0084 ips: 29.2150 images/s [10/17 10:23:22] ppdet.engine INFO: Epoch: [50] [ 60/229] learning_rate: 0.372930 loss_vfl: 0.868134 loss_bbox: 0.336244 loss_dfl: 0.203913 loss: 1.418950 eta: 1 day, 11:04:19 batch_cost: 2.1389 data_cost: 0.0023 ips: 29.9215 images/s [10/17 10:24:10] ppdet.engine INFO: Epoch: [50] [ 80/229] learning_rate: 0.372838 loss_vfl: 0.867982 loss_bbox: 0.335915 loss_dfl: 0.210268 loss: 1.402062 eta: 1 day, 11:03:38 batch_cost: 2.2335 data_cost: 0.0026 ips: 28.6546 images/s [10/17 10:24:56] ppdet.engine INFO: Epoch: [50] [100/229] learning_rate: 0.372746 loss_vfl: 0.888750 loss_bbox: 0.331077 loss_dfl: 0.203998 loss: 1.419171 eta: 1 day, 11:02:47 batch_cost: 2.1409 data_cost: 0.0041 ips: 29.8945 images/s [10/17 10:25:43] ppdet.engine INFO: Epoch: [50] [120/229] learning_rate: 0.372654 loss_vfl: 0.901302 loss_bbox: 0.328592 loss_dfl: 0.207028 loss: 1.434688 eta: 1 day, 11:01:57 batch_cost: 2.1542 data_cost: 0.0075 ips: 29.7090 images/s [10/17 10:26:30] ppdet.engine INFO: Epoch: [50] [140/229] learning_rate: 0.372561 loss_vfl: 0.859571 loss_bbox: 0.331468 loss_dfl: 0.205106 loss: 1.404943 eta: 1 day, 11:01:08 batch_cost: 2.1581 data_cost: 0.0047 ips: 29.6553 images/s [10/17 10:27:17] ppdet.engine INFO: Epoch: [50] [160/229] learning_rate: 0.372469 loss_vfl: 0.885752 loss_bbox: 0.337756 loss_dfl: 0.206076 loss: 1.412808 eta: 1 day, 11:00:25 batch_cost: 2.2166 data_cost: 0.0015 ips: 28.8727 images/s [10/17 10:28:03] ppdet.engine INFO: Epoch: [50] [180/229] learning_rate: 0.372376 loss_vfl: 0.912847 loss_bbox: 0.336271 loss_dfl: 0.210833 loss: 1.443680 eta: 1 day, 10:59:34 batch_cost: 2.1346 data_cost: 0.0046 ips: 29.9822 images/s [10/17 10:28:49] ppdet.engine INFO: Epoch: [50] [200/229] learning_rate: 0.372283 loss_vfl: 0.899799 loss_bbox: 0.340618 loss_dfl: 0.204464 loss: 1.452348 eta: 1 day, 10:58:44 batch_cost: 2.1481 data_cost: 0.0049 ips: 29.7942 images/s [10/17 10:29:27] ppdet.engine INFO: Epoch: [50] [220/229] learning_rate: 0.372190 loss_vfl: 0.873393 loss_bbox: 0.331533 loss_dfl: 0.208418 loss: 1.419670 eta: 1 day, 10:57:11 batch_cost: 1.7080 data_cost: 0.0015 ips: 37.4718 images/s [10/17 10:30:11] ppdet.engine INFO: Epoch: [51] [ 0/229] learning_rate: 0.372148 loss_vfl: 0.889382 loss_bbox: 0.337111 loss_dfl: 0.208944 loss: 1.441305 eta: 1 day, 10:58:22 batch_cost: 2.7110 data_cost: 0.9443 ips: 23.6078 images/s [10/17 10:30:58] ppdet.engine INFO: Epoch: [51] [ 20/229] learning_rate: 0.372055 loss_vfl: 0.872462 loss_bbox: 0.325284 loss_dfl: 0.206630 loss: 1.398114 eta: 1 day, 10:57:33 batch_cost: 2.1570 data_cost: 0.0042 ips: 29.6714 images/s [10/17 10:31:45] ppdet.engine INFO: Epoch: [51] [ 40/229] learning_rate: 0.371962 loss_vfl: 0.849779 loss_bbox: 0.323238 loss_dfl: 0.197473 loss: 1.379215 eta: 1 day, 10:56:43 batch_cost: 2.1470 data_cost: 0.0023 ips: 29.8086 images/s [10/17 10:32:33] ppdet.engine INFO: Epoch: [51] [ 60/229] learning_rate: 0.371868 loss_vfl: 0.887104 loss_bbox: 0.353433 loss_dfl: 0.220272 loss: 1.451381 eta: 1 day, 10:55:57 batch_cost: 2.1863 data_cost: 0.0045 ips: 29.2733 images/s [10/17 10:33:19] ppdet.engine INFO: Epoch: [51] [ 80/229] learning_rate: 0.371775 loss_vfl: 0.869295 loss_bbox: 0.315801 loss_dfl: 0.199503 loss: 1.408225 eta: 1 day, 10:55:05 batch_cost: 2.1304 data_cost: 0.0051 ips: 30.0413 images/s [10/17 10:34:07] ppdet.engine INFO: Epoch: [51] [100/229] learning_rate: 0.371681 loss_vfl: 0.903257 loss_bbox: 0.316001 loss_dfl: 0.200647 loss: 1.422196 eta: 1 day, 10:54:22 batch_cost: 2.2200 data_cost: 0.0047 ips: 28.8286 images/s [10/17 10:34:55] ppdet.engine INFO: Epoch: [51] [120/229] learning_rate: 0.371587 loss_vfl: 0.880174 loss_bbox: 0.338100 loss_dfl: 0.198579 loss: 1.410902 eta: 1 day, 10:53:31 batch_cost: 2.1383 data_cost: 0.0072 ips: 29.9307 images/s [10/17 10:35:42] ppdet.engine INFO: Epoch: [51] [140/229] learning_rate: 0.371493 loss_vfl: 0.899628 loss_bbox: 0.334680 loss_dfl: 0.207604 loss: 1.436104 eta: 1 day, 10:52:46 batch_cost: 2.1967 data_cost: 0.0039 ips: 29.1344 images/s [10/17 10:36:29] ppdet.engine INFO: Epoch: [51] [160/229] learning_rate: 0.371399 loss_vfl: 0.900790 loss_bbox: 0.341516 loss_dfl: 0.213136 loss: 1.455238 eta: 1 day, 10:52:02 batch_cost: 2.2086 data_cost: 0.0038 ips: 28.9775 images/s [10/17 10:37:16] ppdet.engine INFO: Epoch: [51] [180/229] learning_rate: 0.371305 loss_vfl: 0.878517 loss_bbox: 0.327672 loss_dfl: 0.201494 loss: 1.407362 eta: 1 day, 10:51:13 batch_cost: 2.1594 data_cost: 0.0034 ips: 29.6382 images/s [10/17 10:38:02] ppdet.engine INFO: Epoch: [51] [200/229] learning_rate: 0.371210 loss_vfl: 0.880314 loss_bbox: 0.348382 loss_dfl: 0.208348 loss: 1.467054 eta: 1 day, 10:50:24 batch_cost: 2.1508 data_cost: 0.0028 ips: 29.7563 images/s [10/17 10:38:41] ppdet.engine INFO: Epoch: [51] [220/229] learning_rate: 0.371115 loss_vfl: 0.881952 loss_bbox: 0.352710 loss_dfl: 0.211196 loss: 1.436810 eta: 1 day, 10:48:58 batch_cost: 1.7701 data_cost: 0.0028 ips: 36.1554 images/s [10/17 10:39:24] ppdet.engine INFO: Epoch: [52] [ 0/229] learning_rate: 0.371073 loss_vfl: 0.885263 loss_bbox: 0.359436 loss_dfl: 0.211626 loss: 1.477032 eta: 1 day, 10:50:07 batch_cost: 2.7079 data_cost: 1.0346 ips: 23.6347 images/s [10/17 10:40:12] ppdet.engine INFO: Epoch: [52] [ 20/229] learning_rate: 0.370978 loss_vfl: 0.871761 loss_bbox: 0.327488 loss_dfl: 0.203812 loss: 1.401927 eta: 1 day, 10:49:23 batch_cost: 2.2127 data_cost: 0.0039 ips: 28.9244 images/s [10/17 10:41:00] ppdet.engine INFO: Epoch: [52] [ 40/229] learning_rate: 0.370883 loss_vfl: 0.895893 loss_bbox: 0.333054 loss_dfl: 0.205863 loss: 1.431816 eta: 1 day, 10:48:38 batch_cost: 2.2041 data_cost: 0.0042 ips: 29.0367 images/s [10/17 10:41:48] ppdet.engine INFO: Epoch: [52] [ 60/229] learning_rate: 0.370788 loss_vfl: 0.870105 loss_bbox: 0.339347 loss_dfl: 0.207022 loss: 1.431470 eta: 1 day, 10:47:55 batch_cost: 2.2199 data_cost: 0.0040 ips: 28.8306 images/s [10/17 10:42:36] ppdet.engine INFO: Epoch: [52] [ 80/229] learning_rate: 0.370693 loss_vfl: 0.882422 loss_bbox: 0.333515 loss_dfl: 0.205337 loss: 1.420744 eta: 1 day, 10:47:13 batch_cost: 2.2301 data_cost: 0.0060 ips: 28.6979 images/s [10/17 10:43:23] ppdet.engine INFO: Epoch: [52] [100/229] learning_rate: 0.370597 loss_vfl: 0.887126 loss_bbox: 0.334319 loss_dfl: 0.205430 loss: 1.420654 eta: 1 day, 10:46:28 batch_cost: 2.2013 data_cost: 0.0077 ips: 29.0731 images/s [10/17 10:44:10] ppdet.engine INFO: Epoch: [52] [120/229] learning_rate: 0.370502 loss_vfl: 0.900505 loss_bbox: 0.320491 loss_dfl: 0.208479 loss: 1.419449 eta: 1 day, 10:45:39 batch_cost: 2.1565 data_cost: 0.0055 ips: 29.6776 images/s [10/17 10:44:58] ppdet.engine INFO: Epoch: [52] [140/229] learning_rate: 0.370406 loss_vfl: 0.872419 loss_bbox: 0.339591 loss_dfl: 0.202376 loss: 1.424908 eta: 1 day, 10:44:57 batch_cost: 2.2241 data_cost: 0.0064 ips: 28.7759 images/s [10/17 10:45:44] ppdet.engine INFO: Epoch: [52] [160/229] learning_rate: 0.370310 loss_vfl: 0.875742 loss_bbox: 0.333129 loss_dfl: 0.198481 loss: 1.405735 eta: 1 day, 10:44:10 batch_cost: 2.1782 data_cost: 0.0030 ips: 29.3817 images/s [10/17 10:46:32] ppdet.engine INFO: Epoch: [52] [180/229] learning_rate: 0.370214 loss_vfl: 0.865028 loss_bbox: 0.327529 loss_dfl: 0.191394 loss: 1.412532 eta: 1 day, 10:43:23 batch_cost: 2.1832 data_cost: 0.0042 ips: 29.3153 images/s [10/17 10:47:18] ppdet.engine INFO: Epoch: [52] [200/229] learning_rate: 0.370118 loss_vfl: 0.877445 loss_bbox: 0.329779 loss_dfl: 0.211241 loss: 1.428953 eta: 1 day, 10:42:35 batch_cost: 2.1646 data_cost: 0.0027 ips: 29.5662 images/s [10/17 10:47:56] ppdet.engine INFO: Epoch: [52] [220/229] learning_rate: 0.370022 loss_vfl: 0.876662 loss_bbox: 0.334583 loss_dfl: 0.207091 loss: 1.436185 eta: 1 day, 10:41:07 batch_cost: 1.7387 data_cost: 0.0021 ips: 36.8095 images/s [10/17 10:48:37] ppdet.engine INFO: Epoch: [53] [ 0/229] learning_rate: 0.369979 loss_vfl: 0.876935 loss_bbox: 0.323070 loss_dfl: 0.194511 loss: 1.394429 eta: 1 day, 10:42:03 batch_cost: 2.5812 data_cost: 0.8379 ips: 24.7950 images/s [10/17 10:49:26] ppdet.engine INFO: Epoch: [53] [ 20/229] learning_rate: 0.369882 loss_vfl: 0.860788 loss_bbox: 0.342305 loss_dfl: 0.208916 loss: 1.416837 eta: 1 day, 10:41:27 batch_cost: 2.2921 data_cost: 0.0035 ips: 27.9226 images/s [10/17 10:50:14] ppdet.engine INFO: Epoch: [53] [ 40/229] learning_rate: 0.369785 loss_vfl: 0.877547 loss_bbox: 0.334679 loss_dfl: 0.206729 loss: 1.414680 eta: 1 day, 10:40:41 batch_cost: 2.1962 data_cost: 0.0031 ips: 29.1412 images/s [10/17 10:51:01] ppdet.engine INFO: Epoch: [53] [ 60/229] learning_rate: 0.369689 loss_vfl: 0.864282 loss_bbox: 0.336802 loss_dfl: 0.210030 loss: 1.407331 eta: 1 day, 10:39:56 batch_cost: 2.2010 data_cost: 0.0030 ips: 29.0782 images/s [10/17 10:51:48] ppdet.engine INFO: Epoch: [53] [ 80/229] learning_rate: 0.369592 loss_vfl: 0.869741 loss_bbox: 0.321051 loss_dfl: 0.201235 loss: 1.400291 eta: 1 day, 10:39:05 batch_cost: 2.1330 data_cost: 0.0029 ips: 30.0047 images/s [10/17 10:52:36] ppdet.engine INFO: Epoch: [53] [100/229] learning_rate: 0.369495 loss_vfl: 0.878644 loss_bbox: 0.329130 loss_dfl: 0.208153 loss: 1.400806 eta: 1 day, 10:38:22 batch_cost: 2.2197 data_cost: 0.0028 ips: 28.8321 images/s [10/17 10:53:23] ppdet.engine INFO: Epoch: [53] [120/229] learning_rate: 0.369398 loss_vfl: 0.878794 loss_bbox: 0.330774 loss_dfl: 0.203027 loss: 1.428057 eta: 1 day, 10:37:33 batch_cost: 2.1521 data_cost: 0.0039 ips: 29.7389 images/s [10/17 10:54:10] ppdet.engine INFO: Epoch: [53] [140/229] learning_rate: 0.369300 loss_vfl: 0.878718 loss_bbox: 0.326888 loss_dfl: 0.203876 loss: 1.422501 eta: 1 day, 10:36:48 batch_cost: 2.2070 data_cost: 0.0055 ips: 28.9989 images/s [10/17 10:54:57] ppdet.engine INFO: Epoch: [53] [160/229] learning_rate: 0.369203 loss_vfl: 0.886475 loss_bbox: 0.332996 loss_dfl: 0.204593 loss: 1.400135 eta: 1 day, 10:35:56 batch_cost: 2.1189 data_cost: 0.0059 ips: 30.2045 images/s [10/17 10:55:44] ppdet.engine INFO: Epoch: [53] [180/229] learning_rate: 0.369105 loss_vfl: 0.896815 loss_bbox: 0.328319 loss_dfl: 0.211133 loss: 1.438015 eta: 1 day, 10:35:09 batch_cost: 2.1742 data_cost: 0.0046 ips: 29.4368 images/s [10/17 10:56:30] ppdet.engine INFO: Epoch: [53] [200/229] learning_rate: 0.369008 loss_vfl: 0.898254 loss_bbox: 0.331003 loss_dfl: 0.203662 loss: 1.437860 eta: 1 day, 10:34:18 batch_cost: 2.1427 data_cost: 0.0062 ips: 29.8695 images/s [10/17 10:57:09] ppdet.engine INFO: Epoch: [53] [220/229] learning_rate: 0.368910 loss_vfl: 0.887816 loss_bbox: 0.326865 loss_dfl: 0.201060 loss: 1.428223 eta: 1 day, 10:32:53 batch_cost: 1.7582 data_cost: 0.0025 ips: 36.4004 images/s [10/17 10:57:53] ppdet.engine INFO: Epoch: [54] [ 0/229] learning_rate: 0.368866 loss_vfl: 0.887816 loss_bbox: 0.310322 loss_dfl: 0.201956 loss: 1.419000 eta: 1 day, 10:34:03 batch_cost: 2.7770 data_cost: 0.5627 ips: 23.0464 images/s [10/17 10:58:40] ppdet.engine INFO: Epoch: [54] [ 20/229] learning_rate: 0.368768 loss_vfl: 0.866725 loss_bbox: 0.320569 loss_dfl: 0.200694 loss: 1.389629 eta: 1 day, 10:33:18 batch_cost: 2.2026 data_cost: 0.0028 ips: 29.0565 images/s [10/17 10:59:27] ppdet.engine INFO: Epoch: [54] [ 40/229] learning_rate: 0.368669 loss_vfl: 0.867852 loss_bbox: 0.314686 loss_dfl: 0.199439 loss: 1.382501 eta: 1 day, 10:32:29 batch_cost: 2.1596 data_cost: 0.0027 ips: 29.6349 images/s [10/17 11:00:13] ppdet.engine INFO: Epoch: [54] [ 60/229] learning_rate: 0.368571 loss_vfl: 0.876464 loss_bbox: 0.318911 loss_dfl: 0.200185 loss: 1.403226 eta: 1 day, 10:31:30 batch_cost: 2.0357 data_cost: 0.0046 ips: 31.4387 images/s [10/17 11:00:59] ppdet.engine INFO: Epoch: [54] [ 80/229] learning_rate: 0.368472 loss_vfl: 0.852606 loss_bbox: 0.348701 loss_dfl: 0.208041 loss: 1.405303 eta: 1 day, 10:30:43 batch_cost: 2.1808 data_cost: 0.0078 ips: 29.3471 images/s [10/17 11:01:47] ppdet.engine INFO: Epoch: [54] [100/229] learning_rate: 0.368374 loss_vfl: 0.879927 loss_bbox: 0.319460 loss_dfl: 0.200468 loss: 1.412668 eta: 1 day, 10:30:01 batch_cost: 2.2324 data_cost: 0.0021 ips: 28.6683 images/s [10/17 11:02:34] ppdet.engine INFO: Epoch: [54] [120/229] learning_rate: 0.368275 loss_vfl: 0.877967 loss_bbox: 0.328405 loss_dfl: 0.206272 loss: 1.406715 eta: 1 day, 10:29:16 batch_cost: 2.1976 data_cost: 0.0053 ips: 29.1231 images/s [10/17 11:03:21] ppdet.engine INFO: Epoch: [54] [140/229] learning_rate: 0.368176 loss_vfl: 0.882243 loss_bbox: 0.321485 loss_dfl: 0.200710 loss: 1.414166 eta: 1 day, 10:28:29 batch_cost: 2.1816 data_cost: 0.0022 ips: 29.3356 images/s [10/17 11:04:09] ppdet.engine INFO: Epoch: [54] [160/229] learning_rate: 0.368077 loss_vfl: 0.880242 loss_bbox: 0.323571 loss_dfl: 0.197538 loss: 1.399328 eta: 1 day, 10:27:42 batch_cost: 2.1799 data_cost: 0.0037 ips: 29.3589 images/s [10/17 11:04:56] ppdet.engine INFO: Epoch: [54] [180/229] learning_rate: 0.367978 loss_vfl: 0.882264 loss_bbox: 0.328300 loss_dfl: 0.199362 loss: 1.419492 eta: 1 day, 10:26:53 batch_cost: 2.1479 data_cost: 0.0040 ips: 29.7972 images/s [10/17 11:05:43] ppdet.engine INFO: Epoch: [54] [200/229] learning_rate: 0.367878 loss_vfl: 0.885194 loss_bbox: 0.343386 loss_dfl: 0.206158 loss: 1.422802 eta: 1 day, 10:26:05 batch_cost: 2.1665 data_cost: 0.0029 ips: 29.5414 images/s [10/17 11:06:20] ppdet.engine INFO: Epoch: [54] [220/229] learning_rate: 0.367779 loss_vfl: 0.896594 loss_bbox: 0.325816 loss_dfl: 0.206399 loss: 1.432242 eta: 1 day, 10:24:35 batch_cost: 1.6951 data_cost: 0.0021 ips: 37.7565 images/s [10/17 11:07:03] ppdet.engine INFO: Epoch: [55] [ 0/229] learning_rate: 0.367734 loss_vfl: 0.892301 loss_bbox: 0.325816 loss_dfl: 0.206399 loss: 1.422497 eta: 1 day, 10:25:38 batch_cost: 2.6912 data_cost: 0.6325 ips: 23.7811 images/s [10/17 11:07:49] ppdet.engine INFO: Epoch: [55] [ 20/229] learning_rate: 0.367634 loss_vfl: 0.865301 loss_bbox: 0.332033 loss_dfl: 0.204092 loss: 1.411700 eta: 1 day, 10:24:47 batch_cost: 2.1312 data_cost: 0.0025 ips: 30.0297 images/s [10/17 11:08:37] ppdet.engine INFO: Epoch: [55] [ 40/229] learning_rate: 0.367535 loss_vfl: 0.886747 loss_bbox: 0.313995 loss_dfl: 0.198488 loss: 1.382169 eta: 1 day, 10:24:04 batch_cost: 2.2165 data_cost: 0.0030 ips: 28.8745 images/s [10/17 11:09:24] ppdet.engine INFO: Epoch: [55] [ 60/229] learning_rate: 0.367435 loss_vfl: 0.870816 loss_bbox: 0.339301 loss_dfl: 0.194556 loss: 1.406092 eta: 1 day, 10:23:13 batch_cost: 2.1346 data_cost: 0.0076 ips: 29.9818 images/s [10/17 11:10:10] ppdet.engine INFO: Epoch: [55] [ 80/229] learning_rate: 0.367334 loss_vfl: 0.871941 loss_bbox: 0.337213 loss_dfl: 0.203549 loss: 1.409236 eta: 1 day, 10:22:24 batch_cost: 2.1534 data_cost: 0.0051 ips: 29.7209 images/s [10/17 11:10:58] ppdet.engine INFO: Epoch: [55] [100/229] learning_rate: 0.367234 loss_vfl: 0.877993 loss_bbox: 0.339503 loss_dfl: 0.204083 loss: 1.436655 eta: 1 day, 10:21:37 batch_cost: 2.1803 data_cost: 0.0019 ips: 29.3536 images/s [10/17 11:11:44] ppdet.engine INFO: Epoch: [55] [120/229] learning_rate: 0.367134 loss_vfl: 0.868130 loss_bbox: 0.325433 loss_dfl: 0.202732 loss: 1.385120 eta: 1 day, 10:20:46 batch_cost: 2.1288 data_cost: 0.0045 ips: 30.0640 images/s [10/17 11:12:32] ppdet.engine INFO: Epoch: [55] [140/229] learning_rate: 0.367033 loss_vfl: 0.863654 loss_bbox: 0.331227 loss_dfl: 0.205190 loss: 1.424570 eta: 1 day, 10:20:02 batch_cost: 2.2086 data_cost: 0.0049 ips: 28.9775 images/s [10/17 11:13:20] ppdet.engine INFO: Epoch: [55] [160/229] learning_rate: 0.366933 loss_vfl: 0.892981 loss_bbox: 0.345331 loss_dfl: 0.207642 loss: 1.459577 eta: 1 day, 10:19:18 batch_cost: 2.2146 data_cost: 0.0040 ips: 28.8991 images/s [10/17 11:14:06] ppdet.engine INFO: Epoch: [55] [180/229] learning_rate: 0.366832 loss_vfl: 0.873880 loss_bbox: 0.337115 loss_dfl: 0.208789 loss: 1.400785 eta: 1 day, 10:18:28 batch_cost: 2.1378 data_cost: 0.0037 ips: 29.9368 images/s [10/17 11:14:52] ppdet.engine INFO: Epoch: [55] [200/229] learning_rate: 0.366731 loss_vfl: 0.874583 loss_bbox: 0.324068 loss_dfl: 0.192198 loss: 1.414993 eta: 1 day, 10:17:36 batch_cost: 2.1190 data_cost: 0.0046 ips: 30.2033 images/s [10/17 11:15:31] ppdet.engine INFO: Epoch: [55] [220/229] learning_rate: 0.366630 loss_vfl: 0.886314 loss_bbox: 0.334596 loss_dfl: 0.196605 loss: 1.413543 eta: 1 day, 10:16:17 batch_cost: 1.8097 data_cost: 0.0024 ips: 35.3643 images/s [10/17 11:16:13] ppdet.engine INFO: Epoch: [56] [ 0/229] learning_rate: 0.366584 loss_vfl: 0.867223 loss_bbox: 0.336791 loss_dfl: 0.205032 loss: 1.412207 eta: 1 day, 10:17:15 batch_cost: 2.6999 data_cost: 0.8140 ips: 23.7042 images/s [10/17 11:17:01] ppdet.engine INFO: Epoch: [56] [ 20/229] learning_rate: 0.366483 loss_vfl: 0.857258 loss_bbox: 0.323442 loss_dfl: 0.198996 loss: 1.377955 eta: 1 day, 10:16:29 batch_cost: 2.1955 data_cost: 0.0030 ips: 29.1511 images/s [10/17 11:17:48] ppdet.engine INFO: Epoch: [56] [ 40/229] learning_rate: 0.366382 loss_vfl: 0.873821 loss_bbox: 0.339512 loss_dfl: 0.201764 loss: 1.417407 eta: 1 day, 10:15:39 batch_cost: 2.1390 data_cost: 0.0046 ips: 29.9202 images/s [10/17 11:18:34] ppdet.engine INFO: Epoch: [56] [ 60/229] learning_rate: 0.366280 loss_vfl: 0.868427 loss_bbox: 0.325036 loss_dfl: 0.195572 loss: 1.389159 eta: 1 day, 10:14:53 batch_cost: 2.1849 data_cost: 0.0052 ips: 29.2921 images/s [10/17 11:19:21] ppdet.engine INFO: Epoch: [56] [ 80/229] learning_rate: 0.366178 loss_vfl: 0.872030 loss_bbox: 0.330277 loss_dfl: 0.201676 loss: 1.407664 eta: 1 day, 10:14:00 batch_cost: 2.1053 data_cost: 0.0035 ips: 30.3991 images/s [10/17 11:20:07] ppdet.engine INFO: Epoch: [56] [100/229] learning_rate: 0.366076 loss_vfl: 0.890187 loss_bbox: 0.323956 loss_dfl: 0.201081 loss: 1.402727 eta: 1 day, 10:13:01 batch_cost: 2.0375 data_cost: 0.0057 ips: 31.4112 images/s [10/17 11:20:54] ppdet.engine INFO: Epoch: [56] [120/229] learning_rate: 0.365974 loss_vfl: 0.875094 loss_bbox: 0.320911 loss_dfl: 0.205930 loss: 1.398193 eta: 1 day, 10:12:10 batch_cost: 2.1287 data_cost: 0.0029 ips: 30.0660 images/s [10/17 11:21:41] ppdet.engine INFO: Epoch: [56] [140/229] learning_rate: 0.365872 loss_vfl: 0.894606 loss_bbox: 0.331193 loss_dfl: 0.200681 loss: 1.422770 eta: 1 day, 10:11:20 batch_cost: 2.1412 data_cost: 0.0055 ips: 29.8892 images/s [10/17 11:22:27] ppdet.engine INFO: Epoch: [56] [160/229] learning_rate: 0.365770 loss_vfl: 0.864465 loss_bbox: 0.338883 loss_dfl: 0.211502 loss: 1.415825 eta: 1 day, 10:10:34 batch_cost: 2.1921 data_cost: 0.0036 ips: 29.1961 images/s [10/17 11:23:13] ppdet.engine INFO: Epoch: [56] [180/229] learning_rate: 0.365668 loss_vfl: 0.879405 loss_bbox: 0.323399 loss_dfl: 0.204729 loss: 1.428744 eta: 1 day, 10:09:44 batch_cost: 2.1325 data_cost: 0.0050 ips: 30.0121 images/s [10/17 11:24:00] ppdet.engine INFO: Epoch: [56] [200/229] learning_rate: 0.365565 loss_vfl: 0.869587 loss_bbox: 0.330916 loss_dfl: 0.203512 loss: 1.390339 eta: 1 day, 10:08:54 batch_cost: 2.1499 data_cost: 0.0046 ips: 29.7692 images/s [10/17 11:24:38] ppdet.engine INFO: Epoch: [56] [220/229] learning_rate: 0.365462 loss_vfl: 0.897930 loss_bbox: 0.316432 loss_dfl: 0.203020 loss: 1.414757 eta: 1 day, 10:07:35 batch_cost: 1.7897 data_cost: 0.0015 ips: 35.7596 images/s [10/17 11:25:20] ppdet.engine INFO: Epoch: [57] [ 0/229] learning_rate: 0.365416 loss_vfl: 0.878196 loss_bbox: 0.315202 loss_dfl: 0.201181 loss: 1.412416 eta: 1 day, 10:08:27 batch_cost: 2.6402 data_cost: 0.8279 ips: 24.2404 images/s [10/17 11:26:08] ppdet.engine INFO: Epoch: [57] [ 20/229] learning_rate: 0.365313 loss_vfl: 0.870222 loss_bbox: 0.346359 loss_dfl: 0.204966 loss: 1.412253 eta: 1 day, 10:07:43 batch_cost: 2.2083 data_cost: 0.0024 ips: 28.9821 images/s [10/17 11:26:55] ppdet.engine INFO: Epoch: [57] [ 40/229] learning_rate: 0.365210 loss_vfl: 0.866000 loss_bbox: 0.340494 loss_dfl: 0.205009 loss: 1.384024 eta: 1 day, 10:06:55 batch_cost: 2.1612 data_cost: 0.0053 ips: 29.6133 images/s [10/17 11:27:41] ppdet.engine INFO: Epoch: [57] [ 60/229] learning_rate: 0.365107 loss_vfl: 0.884352 loss_bbox: 0.327054 loss_dfl: 0.197849 loss: 1.405545 eta: 1 day, 10:06:01 batch_cost: 2.0987 data_cost: 0.0028 ips: 30.4955 images/s [10/17 11:28:28] ppdet.engine INFO: Epoch: [57] [ 80/229] learning_rate: 0.365004 loss_vfl: 0.872335 loss_bbox: 0.301473 loss_dfl: 0.190821 loss: 1.380288 eta: 1 day, 10:05:13 batch_cost: 2.1618 data_cost: 0.0059 ips: 29.6044 images/s [10/17 11:29:15] ppdet.engine INFO: Epoch: [57] [100/229] learning_rate: 0.364900 loss_vfl: 0.881268 loss_bbox: 0.343444 loss_dfl: 0.206826 loss: 1.434588 eta: 1 day, 10:04:30 batch_cost: 2.2267 data_cost: 0.0050 ips: 28.7422 images/s [10/17 11:30:03] ppdet.engine INFO: Epoch: [57] [120/229] learning_rate: 0.364797 loss_vfl: 0.875058 loss_bbox: 0.340699 loss_dfl: 0.214246 loss: 1.444480 eta: 1 day, 10:03:42 batch_cost: 2.1530 data_cost: 0.0054 ips: 29.7256 images/s [10/17 11:30:50] ppdet.engine INFO: Epoch: [57] [140/229] learning_rate: 0.364693 loss_vfl: 0.881456 loss_bbox: 0.315625 loss_dfl: 0.199018 loss: 1.408844 eta: 1 day, 10:02:58 batch_cost: 2.2165 data_cost: 0.0076 ips: 28.8743 images/s [10/17 11:31:39] ppdet.engine INFO: Epoch: [57] [160/229] learning_rate: 0.364589 loss_vfl: 0.882674 loss_bbox: 0.289248 loss_dfl: 0.188352 loss: 1.363109 eta: 1 day, 10:02:16 batch_cost: 2.2363 data_cost: 0.0042 ips: 28.6190 images/s [10/17 11:32:26] ppdet.engine INFO: Epoch: [57] [180/229] learning_rate: 0.364485 loss_vfl: 0.879625 loss_bbox: 0.345632 loss_dfl: 0.218672 loss: 1.459306 eta: 1 day, 10:01:29 batch_cost: 2.1764 data_cost: 0.0025 ips: 29.4062 images/s [10/17 11:33:13] ppdet.engine INFO: Epoch: [57] [200/229] learning_rate: 0.364381 loss_vfl: 0.884438 loss_bbox: 0.329411 loss_dfl: 0.204730 loss: 1.416308 eta: 1 day, 10:00:39 batch_cost: 2.1393 data_cost: 0.0065 ips: 29.9159 images/s [10/17 11:33:51] ppdet.engine INFO: Epoch: [57] [220/229] learning_rate: 0.364277 loss_vfl: 0.888473 loss_bbox: 0.342590 loss_dfl: 0.203659 loss: 1.412531 eta: 1 day, 9:59:19 batch_cost: 1.7773 data_cost: 0.0015 ips: 36.0091 images/s [10/17 11:34:35] ppdet.engine INFO: Epoch: [58] [ 0/229] learning_rate: 0.364230 loss_vfl: 0.890185 loss_bbox: 0.342201 loss_dfl: 0.213979 loss: 1.458208 eta: 1 day, 10:00:19 batch_cost: 2.7533 data_cost: 0.9382 ips: 23.2451 images/s [10/17 11:35:23] ppdet.engine INFO: Epoch: [58] [ 20/229] learning_rate: 0.364125 loss_vfl: 0.859946 loss_bbox: 0.317781 loss_dfl: 0.193615 loss: 1.383647 eta: 1 day, 9:59:35 batch_cost: 2.2068 data_cost: 0.0064 ips: 29.0018 images/s [10/17 11:36:10] ppdet.engine INFO: Epoch: [58] [ 40/229] learning_rate: 0.364021 loss_vfl: 0.878564 loss_bbox: 0.344288 loss_dfl: 0.211412 loss: 1.428887 eta: 1 day, 9:58:46 batch_cost: 2.1574 data_cost: 0.0083 ips: 29.6654 images/s [10/17 11:36:57] ppdet.engine INFO: Epoch: [58] [ 60/229] learning_rate: 0.363916 loss_vfl: 0.863787 loss_bbox: 0.318413 loss_dfl: 0.201469 loss: 1.395259 eta: 1 day, 9:57:59 batch_cost: 2.1698 data_cost: 0.0032 ips: 29.4952 images/s [10/17 11:37:46] ppdet.engine INFO: Epoch: [58] [ 80/229] learning_rate: 0.363811 loss_vfl: 0.889545 loss_bbox: 0.324063 loss_dfl: 0.195811 loss: 1.400526 eta: 1 day, 9:57:18 batch_cost: 2.2545 data_cost: 0.0073 ips: 28.3880 images/s [10/17 11:38:34] ppdet.engine INFO: Epoch: [58] [100/229] learning_rate: 0.363706 loss_vfl: 0.872610 loss_bbox: 0.328194 loss_dfl: 0.202626 loss: 1.422855 eta: 1 day, 9:56:33 batch_cost: 2.1884 data_cost: 0.0021 ips: 29.2448 images/s [10/17 11:39:21] ppdet.engine INFO: Epoch: [58] [120/229] learning_rate: 0.363601 loss_vfl: 0.884436 loss_bbox: 0.328651 loss_dfl: 0.199590 loss: 1.383995 eta: 1 day, 9:55:43 batch_cost: 2.1428 data_cost: 0.0036 ips: 29.8671 images/s [10/17 11:40:08] ppdet.engine INFO: Epoch: [58] [140/229] learning_rate: 0.363496 loss_vfl: 0.884557 loss_bbox: 0.356842 loss_dfl: 0.214960 loss: 1.439492 eta: 1 day, 9:54:58 batch_cost: 2.1969 data_cost: 0.0021 ips: 29.1314 images/s [10/17 11:40:55] ppdet.engine INFO: Epoch: [58] [160/229] learning_rate: 0.363390 loss_vfl: 0.884677 loss_bbox: 0.328941 loss_dfl: 0.198057 loss: 1.419165 eta: 1 day, 9:54:12 batch_cost: 2.1915 data_cost: 0.0024 ips: 29.2032 images/s [10/17 11:41:43] ppdet.engine INFO: Epoch: [58] [180/229] learning_rate: 0.363285 loss_vfl: 0.875056 loss_bbox: 0.330260 loss_dfl: 0.207951 loss: 1.410301 eta: 1 day, 9:53:25 batch_cost: 2.1698 data_cost: 0.0057 ips: 29.4958 images/s [10/17 11:42:29] ppdet.engine INFO: Epoch: [58] [200/229] learning_rate: 0.363179 loss_vfl: 0.875785 loss_bbox: 0.345588 loss_dfl: 0.211895 loss: 1.446836 eta: 1 day, 9:52:29 batch_cost: 2.0717 data_cost: 0.0041 ips: 30.8920 images/s [10/17 11:43:07] ppdet.engine INFO: Epoch: [58] [220/229] learning_rate: 0.363073 loss_vfl: 0.863123 loss_bbox: 0.321189 loss_dfl: 0.200361 loss: 1.397822 eta: 1 day, 9:51:07 batch_cost: 1.7371 data_cost: 0.0021 ips: 36.8440 images/s [10/17 11:43:52] ppdet.engine INFO: Epoch: [59] [ 0/229] learning_rate: 0.363026 loss_vfl: 0.867282 loss_bbox: 0.338392 loss_dfl: 0.209738 loss: 1.422820 eta: 1 day, 9:52:06 batch_cost: 2.7596 data_cost: 1.1541 ips: 23.1917 images/s [10/17 11:44:39] ppdet.engine INFO: Epoch: [59] [ 20/229] learning_rate: 0.362920 loss_vfl: 0.880152 loss_bbox: 0.332696 loss_dfl: 0.201839 loss: 1.437195 eta: 1 day, 9:51:18 batch_cost: 2.1576 data_cost: 0.0040 ips: 29.6621 images/s [10/17 11:45:26] ppdet.engine INFO: Epoch: [59] [ 40/229] learning_rate: 0.362813 loss_vfl: 0.860004 loss_bbox: 0.326863 loss_dfl: 0.194508 loss: 1.378707 eta: 1 day, 9:50:27 batch_cost: 2.1332 data_cost: 0.0046 ips: 30.0023 images/s [10/17 11:46:14] ppdet.engine INFO: Epoch: [59] [ 60/229] learning_rate: 0.362707 loss_vfl: 0.870028 loss_bbox: 0.336833 loss_dfl: 0.204316 loss: 1.424892 eta: 1 day, 9:49:44 batch_cost: 2.2166 data_cost: 0.0039 ips: 28.8731 images/s [10/17 11:47:00] ppdet.engine INFO: Epoch: [59] [ 80/229] learning_rate: 0.362601 loss_vfl: 0.874162 loss_bbox: 0.338810 loss_dfl: 0.204758 loss: 1.399482 eta: 1 day, 9:48:54 batch_cost: 2.1388 data_cost: 0.0041 ips: 29.9234 images/s [10/17 11:47:47] ppdet.engine INFO: Epoch: [59] [100/229] learning_rate: 0.362494 loss_vfl: 0.886955 loss_bbox: 0.314723 loss_dfl: 0.199132 loss: 1.404121 eta: 1 day, 9:48:08 batch_cost: 2.1866 data_cost: 0.0022 ips: 29.2696 images/s [10/17 11:48:34] ppdet.engine INFO: Epoch: [59] [120/229] learning_rate: 0.362387 loss_vfl: 0.867540 loss_bbox: 0.330729 loss_dfl: 0.206835 loss: 1.414824 eta: 1 day, 9:47:20 batch_cost: 2.1609 data_cost: 0.0043 ips: 29.6175 images/s [10/17 11:49:21] ppdet.engine INFO: Epoch: [59] [140/229] learning_rate: 0.362281 loss_vfl: 0.856382 loss_bbox: 0.331776 loss_dfl: 0.206839 loss: 1.415594 eta: 1 day, 9:46:32 batch_cost: 2.1664 data_cost: 0.0040 ips: 29.5424 images/s [10/17 11:50:09] ppdet.engine INFO: Epoch: [59] [160/229] learning_rate: 0.362174 loss_vfl: 0.887713 loss_bbox: 0.349281 loss_dfl: 0.210317 loss: 1.437234 eta: 1 day, 9:45:46 batch_cost: 2.1874 data_cost: 0.0023 ips: 29.2588 images/s [10/17 11:50:55] ppdet.engine INFO: Epoch: [59] [180/229] learning_rate: 0.362066 loss_vfl: 0.896069 loss_bbox: 0.326506 loss_dfl: 0.203081 loss: 1.423843 eta: 1 day, 9:44:56 batch_cost: 2.1261 data_cost: 0.0034 ips: 30.1026 images/s [10/17 11:51:41] ppdet.engine INFO: Epoch: [59] [200/229] learning_rate: 0.361959 loss_vfl: 0.872910 loss_bbox: 0.320318 loss_dfl: 0.200927 loss: 1.405400 eta: 1 day, 9:44:04 batch_cost: 2.1221 data_cost: 0.0034 ips: 30.1587 images/s [10/17 11:52:19] ppdet.engine INFO: Epoch: [59] [220/229] learning_rate: 0.361852 loss_vfl: 0.853077 loss_bbox: 0.329082 loss_dfl: 0.207842 loss: 1.392313 eta: 1 day, 9:42:47 batch_cost: 1.7900 data_cost: 0.0014 ips: 35.7535 images/s [10/17 11:52:34] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 11:52:35] ppdet.engine INFO: Eval iter: 0 [10/17 11:53:15] ppdet.engine INFO: Eval iter: 100 [10/17 11:53:30] ppdet.engine INFO: Eval iter: 200 [10/17 11:53:45] ppdet.engine INFO: Eval iter: 300 [10/17 11:54:00] ppdet.engine INFO: Eval iter: 400 [10/17 11:54:15] ppdet.engine INFO: Eval iter: 500 [10/17 11:54:30] ppdet.engine INFO: Eval iter: 600 [10/17 11:54:42] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.53s) creating index... index created! [10/17 11:54:43] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.67s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=66.01s). Accumulating evaluation results... DONE (t=11.95s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.276 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.417 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.287 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.082 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.281 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 ] = 0.258 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 ] = 0.428 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.143 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.469 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.702 [10/17 11:56:08] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.4440371324227 [10/17 11:56:08] ppdet.engine INFO: Best test bbox ap is 0.276. [10/17 11:56:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 11:56:10] ppdet.engine INFO: Epoch: [60] [ 0/229] learning_rate: 0.361803 loss_vfl: 0.858297 loss_bbox: 0.330853 loss_dfl: 0.200391 loss: 1.402413 eta: 1 day, 9:41:49 batch_cost: 1.3498 data_cost: 0.0012 ips: 47.4152 images/s [10/17 11:56:57] ppdet.engine INFO: Epoch: [60] [ 20/229] learning_rate: 0.361696 loss_vfl: 0.881196 loss_bbox: 0.336600 loss_dfl: 0.208376 loss: 1.421092 eta: 1 day, 9:40:57 batch_cost: 2.1024 data_cost: 0.0059 ips: 30.4416 images/s [10/17 11:57:43] ppdet.engine INFO: Epoch: [60] [ 40/229] learning_rate: 0.361588 loss_vfl: 0.853144 loss_bbox: 0.348093 loss_dfl: 0.215526 loss: 1.430306 eta: 1 day, 9:40:03 batch_cost: 2.0932 data_cost: 0.0056 ips: 30.5757 images/s [10/17 11:58:31] ppdet.engine INFO: Epoch: [60] [ 60/229] learning_rate: 0.361480 loss_vfl: 0.882615 loss_bbox: 0.328028 loss_dfl: 0.206612 loss: 1.435201 eta: 1 day, 9:39:19 batch_cost: 2.1973 data_cost: 0.0037 ips: 29.1261 images/s [10/17 11:59:18] ppdet.engine INFO: Epoch: [60] [ 80/229] learning_rate: 0.361372 loss_vfl: 0.857650 loss_bbox: 0.341992 loss_dfl: 0.204636 loss: 1.398065 eta: 1 day, 9:38:34 batch_cost: 2.2079 data_cost: 0.0053 ips: 28.9867 images/s [10/17 12:00:06] ppdet.engine INFO: Epoch: [60] [100/229] learning_rate: 0.361264 loss_vfl: 0.864512 loss_bbox: 0.325006 loss_dfl: 0.206424 loss: 1.405953 eta: 1 day, 9:37:54 batch_cost: 2.2509 data_cost: 0.0049 ips: 28.4330 images/s [10/17 12:00:53] ppdet.engine INFO: Epoch: [60] [120/229] learning_rate: 0.361156 loss_vfl: 0.880343 loss_bbox: 0.332065 loss_dfl: 0.196290 loss: 1.396881 eta: 1 day, 9:37:08 batch_cost: 2.1805 data_cost: 0.0035 ips: 29.3512 images/s [10/17 12:01:40] ppdet.engine INFO: Epoch: [60] [140/229] learning_rate: 0.361047 loss_vfl: 0.865076 loss_bbox: 0.332468 loss_dfl: 0.199411 loss: 1.397580 eta: 1 day, 9:36:23 batch_cost: 2.2070 data_cost: 0.0021 ips: 28.9990 images/s [10/17 12:02:27] ppdet.engine INFO: Epoch: [60] [160/229] learning_rate: 0.360939 loss_vfl: 0.876005 loss_bbox: 0.345760 loss_dfl: 0.212427 loss: 1.427199 eta: 1 day, 9:35:33 batch_cost: 2.1273 data_cost: 0.0043 ips: 30.0845 images/s [10/17 12:03:14] ppdet.engine INFO: Epoch: [60] [180/229] learning_rate: 0.360830 loss_vfl: 0.861190 loss_bbox: 0.348956 loss_dfl: 0.207634 loss: 1.415099 eta: 1 day, 9:34:49 batch_cost: 2.2090 data_cost: 0.0034 ips: 28.9730 images/s [10/17 12:04:01] ppdet.engine INFO: Epoch: [60] [200/229] learning_rate: 0.360721 loss_vfl: 0.881350 loss_bbox: 0.320933 loss_dfl: 0.199775 loss: 1.423334 eta: 1 day, 9:34:02 batch_cost: 2.1656 data_cost: 0.0029 ips: 29.5529 images/s [10/17 12:04:39] ppdet.engine INFO: Epoch: [60] [220/229] learning_rate: 0.360613 loss_vfl: 0.877967 loss_bbox: 0.321468 loss_dfl: 0.201356 loss: 1.403827 eta: 1 day, 9:32:41 batch_cost: 1.7401 data_cost: 0.0024 ips: 36.7797 images/s [10/17 12:05:22] ppdet.engine INFO: Epoch: [61] [ 0/229] learning_rate: 0.360563 loss_vfl: 0.881602 loss_bbox: 0.347853 loss_dfl: 0.207888 loss: 1.427428 eta: 1 day, 9:33:36 batch_cost: 2.7337 data_cost: 0.9008 ips: 23.4113 images/s [10/17 12:06:10] ppdet.engine INFO: Epoch: [61] [ 20/229] learning_rate: 0.360454 loss_vfl: 0.863377 loss_bbox: 0.326618 loss_dfl: 0.192863 loss: 1.386739 eta: 1 day, 9:32:43 batch_cost: 2.1036 data_cost: 0.0045 ips: 30.4238 images/s [10/17 12:06:57] ppdet.engine INFO: Epoch: [61] [ 40/229] learning_rate: 0.360345 loss_vfl: 0.850646 loss_bbox: 0.355611 loss_dfl: 0.211550 loss: 1.426119 eta: 1 day, 9:31:54 batch_cost: 2.1415 data_cost: 0.0027 ips: 29.8860 images/s [10/17 12:07:44] ppdet.engine INFO: Epoch: [61] [ 60/229] learning_rate: 0.360236 loss_vfl: 0.884005 loss_bbox: 0.318124 loss_dfl: 0.194721 loss: 1.400011 eta: 1 day, 9:31:08 batch_cost: 2.1792 data_cost: 0.0042 ips: 29.3681 images/s [10/17 12:08:31] ppdet.engine INFO: Epoch: [61] [ 80/229] learning_rate: 0.360126 loss_vfl: 0.868517 loss_bbox: 0.340417 loss_dfl: 0.210623 loss: 1.417432 eta: 1 day, 9:30:18 batch_cost: 2.1369 data_cost: 0.0045 ips: 29.9493 images/s [10/17 12:09:18] ppdet.engine INFO: Epoch: [61] [100/229] learning_rate: 0.360017 loss_vfl: 0.860212 loss_bbox: 0.321704 loss_dfl: 0.192592 loss: 1.364997 eta: 1 day, 9:29:30 batch_cost: 2.1564 data_cost: 0.0052 ips: 29.6791 images/s [10/17 12:10:05] ppdet.engine INFO: Epoch: [61] [120/229] learning_rate: 0.359907 loss_vfl: 0.877943 loss_bbox: 0.328539 loss_dfl: 0.205210 loss: 1.425808 eta: 1 day, 9:28:45 batch_cost: 2.1946 data_cost: 0.0064 ips: 29.1627 images/s [10/17 12:10:53] ppdet.engine INFO: Epoch: [61] [140/229] learning_rate: 0.359797 loss_vfl: 0.874494 loss_bbox: 0.330869 loss_dfl: 0.205766 loss: 1.408268 eta: 1 day, 9:28:00 batch_cost: 2.2025 data_cost: 0.0026 ips: 29.0583 images/s [10/17 12:11:39] ppdet.engine INFO: Epoch: [61] [160/229] learning_rate: 0.359687 loss_vfl: 0.882113 loss_bbox: 0.337023 loss_dfl: 0.207226 loss: 1.409893 eta: 1 day, 9:27:10 batch_cost: 2.1199 data_cost: 0.0019 ips: 30.1907 images/s [10/17 12:12:26] ppdet.engine INFO: Epoch: [61] [180/229] learning_rate: 0.359577 loss_vfl: 0.878566 loss_bbox: 0.335180 loss_dfl: 0.204843 loss: 1.409286 eta: 1 day, 9:26:22 batch_cost: 2.1606 data_cost: 0.0035 ips: 29.6219 images/s [10/17 12:13:12] ppdet.engine INFO: Epoch: [61] [200/229] learning_rate: 0.359466 loss_vfl: 0.886607 loss_bbox: 0.330059 loss_dfl: 0.212569 loss: 1.441594 eta: 1 day, 9:25:33 batch_cost: 2.1513 data_cost: 0.0068 ips: 29.7499 images/s [10/17 12:13:50] ppdet.engine INFO: Epoch: [61] [220/229] learning_rate: 0.359356 loss_vfl: 0.868889 loss_bbox: 0.322323 loss_dfl: 0.206855 loss: 1.410951 eta: 1 day, 9:24:13 batch_cost: 1.7327 data_cost: 0.0054 ips: 36.9358 images/s [10/17 12:14:33] ppdet.engine INFO: Epoch: [62] [ 0/229] learning_rate: 0.359306 loss_vfl: 0.867424 loss_bbox: 0.341159 loss_dfl: 0.206070 loss: 1.418398 eta: 1 day, 9:25:01 batch_cost: 2.6537 data_cost: 0.7021 ips: 24.1177 images/s [10/17 12:15:22] ppdet.engine INFO: Epoch: [62] [ 20/229] learning_rate: 0.359195 loss_vfl: 0.874752 loss_bbox: 0.319507 loss_dfl: 0.196386 loss: 1.394426 eta: 1 day, 9:24:21 batch_cost: 2.2626 data_cost: 0.0037 ips: 28.2865 images/s [10/17 12:16:10] ppdet.engine INFO: Epoch: [62] [ 40/229] learning_rate: 0.359085 loss_vfl: 0.869855 loss_bbox: 0.324044 loss_dfl: 0.198030 loss: 1.379362 eta: 1 day, 9:23:38 batch_cost: 2.2208 data_cost: 0.0044 ips: 28.8179 images/s [10/17 12:16:56] ppdet.engine INFO: Epoch: [62] [ 60/229] learning_rate: 0.358974 loss_vfl: 0.882772 loss_bbox: 0.340251 loss_dfl: 0.200523 loss: 1.408750 eta: 1 day, 9:22:46 batch_cost: 2.1065 data_cost: 0.0051 ips: 30.3822 images/s [10/17 12:17:44] ppdet.engine INFO: Epoch: [62] [ 80/229] learning_rate: 0.358863 loss_vfl: 0.864806 loss_bbox: 0.339416 loss_dfl: 0.211750 loss: 1.390946 eta: 1 day, 9:22:04 batch_cost: 2.2240 data_cost: 0.0039 ips: 28.7766 images/s [10/17 12:18:30] ppdet.engine INFO: Epoch: [62] [100/229] learning_rate: 0.358751 loss_vfl: 0.868649 loss_bbox: 0.313185 loss_dfl: 0.194123 loss: 1.384279 eta: 1 day, 9:21:14 batch_cost: 2.1310 data_cost: 0.0016 ips: 30.0323 images/s [10/17 12:19:17] ppdet.engine INFO: Epoch: [62] [120/229] learning_rate: 0.358640 loss_vfl: 0.879207 loss_bbox: 0.294566 loss_dfl: 0.184127 loss: 1.362137 eta: 1 day, 9:20:22 batch_cost: 2.1061 data_cost: 0.0057 ips: 30.3884 images/s [10/17 12:20:04] ppdet.engine INFO: Epoch: [62] [140/229] learning_rate: 0.358529 loss_vfl: 0.867647 loss_bbox: 0.332068 loss_dfl: 0.200942 loss: 1.396312 eta: 1 day, 9:19:39 batch_cost: 2.2197 data_cost: 0.0029 ips: 28.8326 images/s [10/17 12:20:52] ppdet.engine INFO: Epoch: [62] [160/229] learning_rate: 0.358417 loss_vfl: 0.863875 loss_bbox: 0.317702 loss_dfl: 0.193937 loss: 1.388118 eta: 1 day, 9:18:54 batch_cost: 2.1949 data_cost: 0.0037 ips: 29.1584 images/s [10/17 12:21:39] ppdet.engine INFO: Epoch: [62] [180/229] learning_rate: 0.358305 loss_vfl: 0.884395 loss_bbox: 0.308168 loss_dfl: 0.194000 loss: 1.391466 eta: 1 day, 9:18:07 batch_cost: 2.1697 data_cost: 0.0061 ips: 29.4975 images/s [10/17 12:22:26] ppdet.engine INFO: Epoch: [62] [200/229] learning_rate: 0.358193 loss_vfl: 0.884325 loss_bbox: 0.334906 loss_dfl: 0.204613 loss: 1.419496 eta: 1 day, 9:17:22 batch_cost: 2.1960 data_cost: 0.0019 ips: 29.1435 images/s [10/17 12:23:04] ppdet.engine INFO: Epoch: [62] [220/229] learning_rate: 0.358081 loss_vfl: 0.870236 loss_bbox: 0.334524 loss_dfl: 0.205495 loss: 1.423115 eta: 1 day, 9:16:01 batch_cost: 1.7170 data_cost: 0.0040 ips: 37.2736 images/s [10/17 12:23:50] ppdet.engine INFO: Epoch: [63] [ 0/229] learning_rate: 0.358031 loss_vfl: 0.891090 loss_bbox: 0.329229 loss_dfl: 0.210550 loss: 1.436073 eta: 1 day, 9:16:55 batch_cost: 2.7504 data_cost: 1.2270 ips: 23.2692 images/s [10/17 12:24:37] ppdet.engine INFO: Epoch: [63] [ 20/229] learning_rate: 0.357919 loss_vfl: 0.849142 loss_bbox: 0.361093 loss_dfl: 0.214575 loss: 1.424115 eta: 1 day, 9:16:09 batch_cost: 2.1935 data_cost: 0.0025 ips: 29.1778 images/s [10/17 12:25:24] ppdet.engine INFO: Epoch: [63] [ 40/229] learning_rate: 0.357807 loss_vfl: 0.853001 loss_bbox: 0.320480 loss_dfl: 0.198230 loss: 1.380227 eta: 1 day, 9:15:28 batch_cost: 2.2372 data_cost: 0.0030 ips: 28.6072 images/s [10/17 12:26:12] ppdet.engine INFO: Epoch: [63] [ 60/229] learning_rate: 0.357694 loss_vfl: 0.888470 loss_bbox: 0.322510 loss_dfl: 0.199398 loss: 1.403894 eta: 1 day, 9:14:36 batch_cost: 2.1046 data_cost: 0.0028 ips: 30.4090 images/s [10/17 12:26:58] ppdet.engine INFO: Epoch: [63] [ 80/229] learning_rate: 0.357582 loss_vfl: 0.857333 loss_bbox: 0.354208 loss_dfl: 0.210931 loss: 1.424513 eta: 1 day, 9:13:45 batch_cost: 2.1146 data_cost: 0.0053 ips: 30.2654 images/s [10/17 12:27:46] ppdet.engine INFO: Epoch: [63] [100/229] learning_rate: 0.357469 loss_vfl: 0.887217 loss_bbox: 0.324832 loss_dfl: 0.199426 loss: 1.424286 eta: 1 day, 9:13:03 batch_cost: 2.2452 data_cost: 0.0037 ips: 28.5050 images/s [10/17 12:28:33] ppdet.engine INFO: Epoch: [63] [120/229] learning_rate: 0.357356 loss_vfl: 0.859949 loss_bbox: 0.332624 loss_dfl: 0.191316 loss: 1.408143 eta: 1 day, 9:12:14 batch_cost: 2.1367 data_cost: 0.0041 ips: 29.9529 images/s [10/17 12:29:21] ppdet.engine INFO: Epoch: [63] [140/229] learning_rate: 0.357243 loss_vfl: 0.867588 loss_bbox: 0.331344 loss_dfl: 0.208856 loss: 1.401847 eta: 1 day, 9:11:30 batch_cost: 2.2069 data_cost: 0.0102 ips: 28.9997 images/s [10/17 12:30:08] ppdet.engine INFO: Epoch: [63] [160/229] learning_rate: 0.357130 loss_vfl: 0.865924 loss_bbox: 0.328085 loss_dfl: 0.205218 loss: 1.418842 eta: 1 day, 9:10:40 batch_cost: 2.1298 data_cost: 0.0022 ips: 30.0491 images/s [10/17 12:30:55] ppdet.engine INFO: Epoch: [63] [180/229] learning_rate: 0.357017 loss_vfl: 0.879556 loss_bbox: 0.332498 loss_dfl: 0.205591 loss: 1.397919 eta: 1 day, 9:09:55 batch_cost: 2.1989 data_cost: 0.0058 ips: 29.1054 images/s [10/17 12:31:42] ppdet.engine INFO: Epoch: [63] [200/229] learning_rate: 0.356903 loss_vfl: 0.880551 loss_bbox: 0.301773 loss_dfl: 0.192147 loss: 1.371309 eta: 1 day, 9:09:09 batch_cost: 2.1765 data_cost: 0.0044 ips: 29.4055 images/s [10/17 12:32:20] ppdet.engine INFO: Epoch: [63] [220/229] learning_rate: 0.356790 loss_vfl: 0.864800 loss_bbox: 0.319067 loss_dfl: 0.196277 loss: 1.386875 eta: 1 day, 9:07:50 batch_cost: 1.7469 data_cost: 0.0025 ips: 36.6366 images/s [10/17 12:33:05] ppdet.engine INFO: Epoch: [64] [ 0/229] learning_rate: 0.356739 loss_vfl: 0.887131 loss_bbox: 0.319085 loss_dfl: 0.200652 loss: 1.418730 eta: 1 day, 9:08:44 batch_cost: 2.7788 data_cost: 0.9263 ips: 23.0315 images/s [10/17 12:33:52] ppdet.engine INFO: Epoch: [64] [ 20/229] learning_rate: 0.356625 loss_vfl: 0.860149 loss_bbox: 0.336929 loss_dfl: 0.205639 loss: 1.391992 eta: 1 day, 9:07:57 batch_cost: 2.1776 data_cost: 0.0043 ips: 29.3902 images/s [10/17 12:34:40] ppdet.engine INFO: Epoch: [64] [ 40/229] learning_rate: 0.356511 loss_vfl: 0.882757 loss_bbox: 0.318529 loss_dfl: 0.202728 loss: 1.411842 eta: 1 day, 9:07:12 batch_cost: 2.1919 data_cost: 0.0017 ips: 29.1980 images/s [10/17 12:35:27] ppdet.engine INFO: Epoch: [64] [ 60/229] learning_rate: 0.356397 loss_vfl: 0.852769 loss_bbox: 0.318940 loss_dfl: 0.198845 loss: 1.385217 eta: 1 day, 9:06:25 batch_cost: 2.1706 data_cost: 0.0046 ips: 29.4844 images/s [10/17 12:36:15] ppdet.engine INFO: Epoch: [64] [ 80/229] learning_rate: 0.356283 loss_vfl: 0.858754 loss_bbox: 0.325072 loss_dfl: 0.199476 loss: 1.388177 eta: 1 day, 9:05:44 batch_cost: 2.2531 data_cost: 0.0053 ips: 28.4049 images/s [10/17 12:37:02] ppdet.engine INFO: Epoch: [64] [100/229] learning_rate: 0.356169 loss_vfl: 0.858373 loss_bbox: 0.347608 loss_dfl: 0.210000 loss: 1.420984 eta: 1 day, 9:04:59 batch_cost: 2.1912 data_cost: 0.0057 ips: 29.2074 images/s [10/17 12:37:49] ppdet.engine INFO: Epoch: [64] [120/229] learning_rate: 0.356055 loss_vfl: 0.880154 loss_bbox: 0.321091 loss_dfl: 0.193214 loss: 1.387777 eta: 1 day, 9:04:10 batch_cost: 2.1422 data_cost: 0.0055 ips: 29.8756 images/s [10/17 12:38:36] ppdet.engine INFO: Epoch: [64] [140/229] learning_rate: 0.355940 loss_vfl: 0.858433 loss_bbox: 0.326063 loss_dfl: 0.200172 loss: 1.375161 eta: 1 day, 9:03:24 batch_cost: 2.1786 data_cost: 0.0055 ips: 29.3764 images/s [10/17 12:39:23] ppdet.engine INFO: Epoch: [64] [160/229] learning_rate: 0.355826 loss_vfl: 0.863750 loss_bbox: 0.330838 loss_dfl: 0.214206 loss: 1.402385 eta: 1 day, 9:02:37 batch_cost: 2.1744 data_cost: 0.0025 ips: 29.4339 images/s [10/17 12:40:09] ppdet.engine INFO: Epoch: [64] [180/229] learning_rate: 0.355711 loss_vfl: 0.874418 loss_bbox: 0.341865 loss_dfl: 0.203203 loss: 1.414571 eta: 1 day, 9:01:48 batch_cost: 2.1430 data_cost: 0.0031 ips: 29.8649 images/s [10/17 12:40:56] ppdet.engine INFO: Epoch: [64] [200/229] learning_rate: 0.355596 loss_vfl: 0.880655 loss_bbox: 0.336839 loss_dfl: 0.202938 loss: 1.403604 eta: 1 day, 9:01:00 batch_cost: 2.1460 data_cost: 0.0034 ips: 29.8223 images/s [10/17 12:41:34] ppdet.engine INFO: Epoch: [64] [220/229] learning_rate: 0.355481 loss_vfl: 0.880193 loss_bbox: 0.327241 loss_dfl: 0.201163 loss: 1.369338 eta: 1 day, 8:59:43 batch_cost: 1.7627 data_cost: 0.0029 ips: 36.3078 images/s [10/17 12:42:20] ppdet.engine INFO: Epoch: [65] [ 0/229] learning_rate: 0.355429 loss_vfl: 0.863902 loss_bbox: 0.331811 loss_dfl: 0.207624 loss: 1.409822 eta: 1 day, 9:00:40 batch_cost: 2.8594 data_cost: 1.3129 ips: 22.3819 images/s [10/17 12:43:07] ppdet.engine INFO: Epoch: [65] [ 20/229] learning_rate: 0.355314 loss_vfl: 0.864859 loss_bbox: 0.337786 loss_dfl: 0.213289 loss: 1.412371 eta: 1 day, 8:59:51 batch_cost: 2.1348 data_cost: 0.0035 ips: 29.9791 images/s [10/17 12:43:54] ppdet.engine INFO: Epoch: [65] [ 40/229] learning_rate: 0.355199 loss_vfl: 0.871772 loss_bbox: 0.336380 loss_dfl: 0.199258 loss: 1.398096 eta: 1 day, 8:59:03 batch_cost: 2.1608 data_cost: 0.0054 ips: 29.6182 images/s [10/17 12:44:42] ppdet.engine INFO: Epoch: [65] [ 60/229] learning_rate: 0.355083 loss_vfl: 0.860322 loss_bbox: 0.317044 loss_dfl: 0.196946 loss: 1.374399 eta: 1 day, 8:58:19 batch_cost: 2.2140 data_cost: 0.0050 ips: 28.9064 images/s [10/17 12:45:29] ppdet.engine INFO: Epoch: [65] [ 80/229] learning_rate: 0.354968 loss_vfl: 0.876144 loss_bbox: 0.331656 loss_dfl: 0.203438 loss: 1.404202 eta: 1 day, 8:57:31 batch_cost: 2.1574 data_cost: 0.0053 ips: 29.6654 images/s [10/17 12:46:16] ppdet.engine INFO: Epoch: [65] [100/229] learning_rate: 0.354852 loss_vfl: 0.878565 loss_bbox: 0.327231 loss_dfl: 0.204616 loss: 1.407527 eta: 1 day, 8:56:44 batch_cost: 2.1646 data_cost: 0.0054 ips: 29.5664 images/s [10/17 12:47:04] ppdet.engine INFO: Epoch: [65] [120/229] learning_rate: 0.354736 loss_vfl: 0.877788 loss_bbox: 0.340507 loss_dfl: 0.211877 loss: 1.445398 eta: 1 day, 8:55:57 batch_cost: 2.1610 data_cost: 0.0080 ips: 29.6164 images/s [10/17 12:47:51] ppdet.engine INFO: Epoch: [65] [140/229] learning_rate: 0.354620 loss_vfl: 0.859758 loss_bbox: 0.323999 loss_dfl: 0.204411 loss: 1.376975 eta: 1 day, 8:55:11 batch_cost: 2.1898 data_cost: 0.0086 ips: 29.2270 images/s [10/17 12:48:38] ppdet.engine INFO: Epoch: [65] [160/229] learning_rate: 0.354504 loss_vfl: 0.864716 loss_bbox: 0.321334 loss_dfl: 0.204867 loss: 1.378098 eta: 1 day, 8:54:24 batch_cost: 2.1704 data_cost: 0.0025 ips: 29.4874 images/s [10/17 12:49:25] ppdet.engine INFO: Epoch: [65] [180/229] learning_rate: 0.354388 loss_vfl: 0.868347 loss_bbox: 0.328060 loss_dfl: 0.195970 loss: 1.388275 eta: 1 day, 8:53:36 batch_cost: 2.1556 data_cost: 0.0046 ips: 29.6901 images/s [10/17 12:50:11] ppdet.engine INFO: Epoch: [65] [200/229] learning_rate: 0.354272 loss_vfl: 0.871379 loss_bbox: 0.325600 loss_dfl: 0.202232 loss: 1.388218 eta: 1 day, 8:52:50 batch_cost: 2.1727 data_cost: 0.0069 ips: 29.4565 images/s [10/17 12:50:50] ppdet.engine INFO: Epoch: [65] [220/229] learning_rate: 0.354155 loss_vfl: 0.858546 loss_bbox: 0.339455 loss_dfl: 0.208560 loss: 1.418828 eta: 1 day, 8:51:36 batch_cost: 1.7914 data_cost: 0.0046 ips: 35.7259 images/s [10/17 12:51:34] ppdet.engine INFO: Epoch: [66] [ 0/229] learning_rate: 0.354103 loss_vfl: 0.858546 loss_bbox: 0.344871 loss_dfl: 0.211001 loss: 1.419210 eta: 1 day, 8:52:21 batch_cost: 2.7119 data_cost: 0.8994 ips: 23.6000 images/s [10/17 12:52:22] ppdet.engine INFO: Epoch: [66] [ 20/229] learning_rate: 0.353986 loss_vfl: 0.865410 loss_bbox: 0.334607 loss_dfl: 0.210891 loss: 1.430514 eta: 1 day, 8:51:37 batch_cost: 2.2082 data_cost: 0.0035 ips: 28.9834 images/s [10/17 12:53:10] ppdet.engine INFO: Epoch: [66] [ 40/229] learning_rate: 0.353869 loss_vfl: 0.866304 loss_bbox: 0.320533 loss_dfl: 0.197719 loss: 1.397958 eta: 1 day, 8:50:51 batch_cost: 2.1791 data_cost: 0.0065 ips: 29.3704 images/s [10/17 12:53:58] ppdet.engine INFO: Epoch: [66] [ 60/229] learning_rate: 0.353752 loss_vfl: 0.869438 loss_bbox: 0.343119 loss_dfl: 0.214333 loss: 1.441676 eta: 1 day, 8:50:09 batch_cost: 2.2434 data_cost: 0.0034 ips: 28.5286 images/s [10/17 12:54:45] ppdet.engine INFO: Epoch: [66] [ 80/229] learning_rate: 0.353635 loss_vfl: 0.869404 loss_bbox: 0.328522 loss_dfl: 0.202033 loss: 1.393750 eta: 1 day, 8:49:21 batch_cost: 2.1546 data_cost: 0.0061 ips: 29.7034 images/s [10/17 12:55:32] ppdet.engine INFO: Epoch: [66] [100/229] learning_rate: 0.353518 loss_vfl: 0.895098 loss_bbox: 0.310196 loss_dfl: 0.197752 loss: 1.413515 eta: 1 day, 8:48:36 batch_cost: 2.1979 data_cost: 0.0022 ips: 29.1192 images/s [10/17 12:56:18] ppdet.engine INFO: Epoch: [66] [120/229] learning_rate: 0.353401 loss_vfl: 0.877044 loss_bbox: 0.309407 loss_dfl: 0.201128 loss: 1.388801 eta: 1 day, 8:47:50 batch_cost: 2.1829 data_cost: 0.0044 ips: 29.3188 images/s [10/17 12:57:06] ppdet.engine INFO: Epoch: [66] [140/229] learning_rate: 0.353283 loss_vfl: 0.884285 loss_bbox: 0.318175 loss_dfl: 0.199173 loss: 1.391853 eta: 1 day, 8:47:05 batch_cost: 2.1928 data_cost: 0.0041 ips: 29.1869 images/s [10/17 12:57:53] ppdet.engine INFO: Epoch: [66] [160/229] learning_rate: 0.353166 loss_vfl: 0.858282 loss_bbox: 0.322317 loss_dfl: 0.208350 loss: 1.401117 eta: 1 day, 8:46:18 batch_cost: 2.1709 data_cost: 0.0037 ips: 29.4806 images/s [10/17 12:58:38] ppdet.engine INFO: Epoch: [66] [180/229] learning_rate: 0.353048 loss_vfl: 0.863918 loss_bbox: 0.310118 loss_dfl: 0.200083 loss: 1.403823 eta: 1 day, 8:45:24 batch_cost: 2.0656 data_cost: 0.0028 ips: 30.9836 images/s [10/17 12:59:25] ppdet.engine INFO: Epoch: [66] [200/229] learning_rate: 0.352930 loss_vfl: 0.890532 loss_bbox: 0.328513 loss_dfl: 0.200693 loss: 1.411786 eta: 1 day, 8:44:39 batch_cost: 2.1888 data_cost: 0.0042 ips: 29.2397 images/s [10/17 13:00:03] ppdet.engine INFO: Epoch: [66] [220/229] learning_rate: 0.352812 loss_vfl: 0.867480 loss_bbox: 0.330872 loss_dfl: 0.205804 loss: 1.425287 eta: 1 day, 8:43:23 batch_cost: 1.7480 data_cost: 0.0017 ips: 36.6135 images/s [10/17 13:00:47] ppdet.engine INFO: Epoch: [67] [ 0/229] learning_rate: 0.352759 loss_vfl: 0.876058 loss_bbox: 0.342008 loss_dfl: 0.210237 loss: 1.427524 eta: 1 day, 8:44:12 batch_cost: 2.7941 data_cost: 1.0850 ips: 22.9057 images/s [10/17 13:01:34] ppdet.engine INFO: Epoch: [67] [ 20/229] learning_rate: 0.352641 loss_vfl: 0.856115 loss_bbox: 0.322213 loss_dfl: 0.198481 loss: 1.363516 eta: 1 day, 8:43:23 batch_cost: 2.1432 data_cost: 0.0052 ips: 29.8614 images/s [10/17 13:02:21] ppdet.engine INFO: Epoch: [67] [ 40/229] learning_rate: 0.352523 loss_vfl: 0.875622 loss_bbox: 0.343245 loss_dfl: 0.207316 loss: 1.431689 eta: 1 day, 8:42:34 batch_cost: 2.1408 data_cost: 0.0042 ips: 29.8951 images/s [10/17 13:03:09] ppdet.engine INFO: Epoch: [67] [ 60/229] learning_rate: 0.352404 loss_vfl: 0.877181 loss_bbox: 0.311727 loss_dfl: 0.197527 loss: 1.398441 eta: 1 day, 8:41:46 batch_cost: 2.1473 data_cost: 0.0054 ips: 29.8044 images/s [10/17 13:03:55] ppdet.engine INFO: Epoch: [67] [ 80/229] learning_rate: 0.352286 loss_vfl: 0.880219 loss_bbox: 0.326207 loss_dfl: 0.205582 loss: 1.418113 eta: 1 day, 8:40:53 batch_cost: 2.0896 data_cost: 0.0035 ips: 30.6272 images/s [10/17 13:04:43] ppdet.engine INFO: Epoch: [67] [100/229] learning_rate: 0.352167 loss_vfl: 0.867442 loss_bbox: 0.321983 loss_dfl: 0.203801 loss: 1.403035 eta: 1 day, 8:40:10 batch_cost: 2.2240 data_cost: 0.0048 ips: 28.7771 images/s [10/17 13:05:30] ppdet.engine INFO: Epoch: [67] [120/229] learning_rate: 0.352049 loss_vfl: 0.882592 loss_bbox: 0.314815 loss_dfl: 0.198790 loss: 1.398233 eta: 1 day, 8:39:18 batch_cost: 2.0972 data_cost: 0.0048 ips: 30.5169 images/s [10/17 13:06:18] ppdet.engine INFO: Epoch: [67] [140/229] learning_rate: 0.351930 loss_vfl: 0.881618 loss_bbox: 0.314745 loss_dfl: 0.202054 loss: 1.376297 eta: 1 day, 8:38:36 batch_cost: 2.2397 data_cost: 0.0043 ips: 28.5758 images/s [10/17 13:07:06] ppdet.engine INFO: Epoch: [67] [160/229] learning_rate: 0.351811 loss_vfl: 0.874981 loss_bbox: 0.331779 loss_dfl: 0.206965 loss: 1.422798 eta: 1 day, 8:37:50 batch_cost: 2.1809 data_cost: 0.0033 ips: 29.3451 images/s [10/17 13:07:53] ppdet.engine INFO: Epoch: [67] [180/229] learning_rate: 0.351691 loss_vfl: 0.873150 loss_bbox: 0.312832 loss_dfl: 0.193451 loss: 1.374473 eta: 1 day, 8:37:01 batch_cost: 2.1356 data_cost: 0.0018 ips: 29.9685 images/s [10/17 13:08:40] ppdet.engine INFO: Epoch: [67] [200/229] learning_rate: 0.351572 loss_vfl: 0.874071 loss_bbox: 0.354252 loss_dfl: 0.211376 loss: 1.422957 eta: 1 day, 8:36:17 batch_cost: 2.2114 data_cost: 0.0038 ips: 28.9404 images/s [10/17 13:09:19] ppdet.engine INFO: Epoch: [67] [220/229] learning_rate: 0.351453 loss_vfl: 0.871639 loss_bbox: 0.323011 loss_dfl: 0.197654 loss: 1.408120 eta: 1 day, 8:35:05 batch_cost: 1.7916 data_cost: 0.0015 ips: 35.7233 images/s [10/17 13:10:03] ppdet.engine INFO: Epoch: [68] [ 0/229] learning_rate: 0.351399 loss_vfl: 0.866789 loss_bbox: 0.329242 loss_dfl: 0.202909 loss: 1.417416 eta: 1 day, 8:35:53 batch_cost: 2.7776 data_cost: 0.9681 ips: 23.0417 images/s [10/17 13:10:48] ppdet.engine INFO: Epoch: [68] [ 20/229] learning_rate: 0.351279 loss_vfl: 0.848379 loss_bbox: 0.316967 loss_dfl: 0.200792 loss: 1.366393 eta: 1 day, 8:34:57 batch_cost: 2.0481 data_cost: 0.0030 ips: 31.2492 images/s [10/17 13:11:35] ppdet.engine INFO: Epoch: [68] [ 40/229] learning_rate: 0.351160 loss_vfl: 0.858021 loss_bbox: 0.314123 loss_dfl: 0.195266 loss: 1.372899 eta: 1 day, 8:34:10 batch_cost: 2.1559 data_cost: 0.0022 ips: 29.6864 images/s [10/17 13:12:21] ppdet.engine INFO: Epoch: [68] [ 60/229] learning_rate: 0.351040 loss_vfl: 0.873906 loss_bbox: 0.315406 loss_dfl: 0.192052 loss: 1.379630 eta: 1 day, 8:33:20 batch_cost: 2.1341 data_cost: 0.0038 ips: 29.9892 images/s [10/17 13:13:08] ppdet.engine INFO: Epoch: [68] [ 80/229] learning_rate: 0.350920 loss_vfl: 0.858123 loss_bbox: 0.347008 loss_dfl: 0.207268 loss: 1.409987 eta: 1 day, 8:32:32 batch_cost: 2.1457 data_cost: 0.0022 ips: 29.8273 images/s [10/17 13:13:55] ppdet.engine INFO: Epoch: [68] [100/229] learning_rate: 0.350800 loss_vfl: 0.875107 loss_bbox: 0.320161 loss_dfl: 0.189065 loss: 1.396078 eta: 1 day, 8:31:48 batch_cost: 2.2039 data_cost: 0.0046 ips: 29.0390 images/s [10/17 13:14:42] ppdet.engine INFO: Epoch: [68] [120/229] learning_rate: 0.350680 loss_vfl: 0.865763 loss_bbox: 0.321850 loss_dfl: 0.203704 loss: 1.414902 eta: 1 day, 8:30:58 batch_cost: 2.1354 data_cost: 0.0040 ips: 29.9707 images/s [10/17 13:15:30] ppdet.engine INFO: Epoch: [68] [140/229] learning_rate: 0.350559 loss_vfl: 0.867462 loss_bbox: 0.336356 loss_dfl: 0.205246 loss: 1.391016 eta: 1 day, 8:30:15 batch_cost: 2.2137 data_cost: 0.0046 ips: 28.9113 images/s [10/17 13:16:17] ppdet.engine INFO: Epoch: [68] [160/229] learning_rate: 0.350439 loss_vfl: 0.866919 loss_bbox: 0.320365 loss_dfl: 0.197177 loss: 1.401304 eta: 1 day, 8:29:31 batch_cost: 2.2122 data_cost: 0.0086 ips: 28.9303 images/s [10/17 13:17:04] ppdet.engine INFO: Epoch: [68] [180/229] learning_rate: 0.350318 loss_vfl: 0.861577 loss_bbox: 0.320010 loss_dfl: 0.198619 loss: 1.374847 eta: 1 day, 8:28:44 batch_cost: 2.1713 data_cost: 0.0017 ips: 29.4752 images/s [10/17 13:17:51] ppdet.engine INFO: Epoch: [68] [200/229] learning_rate: 0.350197 loss_vfl: 0.884501 loss_bbox: 0.332856 loss_dfl: 0.205955 loss: 1.419163 eta: 1 day, 8:27:54 batch_cost: 2.1190 data_cost: 0.0036 ips: 30.2033 images/s [10/17 13:18:29] ppdet.engine INFO: Epoch: [68] [220/229] learning_rate: 0.350077 loss_vfl: 0.872871 loss_bbox: 0.340993 loss_dfl: 0.203853 loss: 1.417024 eta: 1 day, 8:26:42 batch_cost: 1.7921 data_cost: 0.0016 ips: 35.7124 images/s [10/17 13:19:11] ppdet.engine INFO: Epoch: [69] [ 0/229] learning_rate: 0.350022 loss_vfl: 0.863600 loss_bbox: 0.346159 loss_dfl: 0.208952 loss: 1.426158 eta: 1 day, 8:27:18 batch_cost: 2.6500 data_cost: 0.6937 ips: 24.1505 images/s [10/17 13:20:01] ppdet.engine INFO: Epoch: [69] [ 20/229] learning_rate: 0.349901 loss_vfl: 0.870013 loss_bbox: 0.340484 loss_dfl: 0.201183 loss: 1.399543 eta: 1 day, 8:26:41 batch_cost: 2.3029 data_cost: 0.0046 ips: 27.7909 images/s [10/17 13:20:49] ppdet.engine INFO: Epoch: [69] [ 40/229] learning_rate: 0.349780 loss_vfl: 0.861779 loss_bbox: 0.325755 loss_dfl: 0.212602 loss: 1.403534 eta: 1 day, 8:25:53 batch_cost: 2.1535 data_cost: 0.0061 ips: 29.7185 images/s [10/17 13:21:37] ppdet.engine INFO: Epoch: [69] [ 60/229] learning_rate: 0.349659 loss_vfl: 0.874227 loss_bbox: 0.314293 loss_dfl: 0.193902 loss: 1.385868 eta: 1 day, 8:25:10 batch_cost: 2.2346 data_cost: 0.0026 ips: 28.6407 images/s [10/17 13:22:24] ppdet.engine INFO: Epoch: [69] [ 80/229] learning_rate: 0.349537 loss_vfl: 0.862450 loss_bbox: 0.318110 loss_dfl: 0.198877 loss: 1.376888 eta: 1 day, 8:24:20 batch_cost: 2.1165 data_cost: 0.0044 ips: 30.2393 images/s [10/17 13:23:10] ppdet.engine INFO: Epoch: [69] [100/229] learning_rate: 0.349416 loss_vfl: 0.861890 loss_bbox: 0.332697 loss_dfl: 0.201367 loss: 1.374023 eta: 1 day, 8:23:31 batch_cost: 2.1390 data_cost: 0.0041 ips: 29.9208 images/s [10/17 13:23:57] ppdet.engine INFO: Epoch: [69] [120/229] learning_rate: 0.349294 loss_vfl: 0.867491 loss_bbox: 0.343314 loss_dfl: 0.210520 loss: 1.439467 eta: 1 day, 8:22:45 batch_cost: 2.1791 data_cost: 0.0040 ips: 29.3699 images/s [10/17 13:24:45] ppdet.engine INFO: Epoch: [69] [140/229] learning_rate: 0.349172 loss_vfl: 0.865917 loss_bbox: 0.319587 loss_dfl: 0.194999 loss: 1.383731 eta: 1 day, 8:22:00 batch_cost: 2.2024 data_cost: 0.0046 ips: 29.0587 images/s [10/17 13:25:30] ppdet.engine INFO: Epoch: [69] [160/229] learning_rate: 0.349050 loss_vfl: 0.865918 loss_bbox: 0.327087 loss_dfl: 0.200022 loss: 1.412967 eta: 1 day, 8:21:07 batch_cost: 2.0740 data_cost: 0.0049 ips: 30.8587 images/s [10/17 13:26:16] ppdet.engine INFO: Epoch: [69] [180/229] learning_rate: 0.348928 loss_vfl: 0.897534 loss_bbox: 0.317275 loss_dfl: 0.200009 loss: 1.397893 eta: 1 day, 8:20:17 batch_cost: 2.1222 data_cost: 0.0046 ips: 30.1568 images/s [10/17 13:27:02] ppdet.engine INFO: Epoch: [69] [200/229] learning_rate: 0.348806 loss_vfl: 0.866925 loss_bbox: 0.323815 loss_dfl: 0.201532 loss: 1.386133 eta: 1 day, 8:19:30 batch_cost: 2.1546 data_cost: 0.0030 ips: 29.7036 images/s [10/17 13:27:39] ppdet.engine INFO: Epoch: [69] [220/229] learning_rate: 0.348684 loss_vfl: 0.878827 loss_bbox: 0.346940 loss_dfl: 0.211234 loss: 1.432948 eta: 1 day, 8:18:11 batch_cost: 1.6758 data_cost: 0.0037 ips: 38.1905 images/s [10/17 13:27:53] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 13:27:54] ppdet.engine INFO: Eval iter: 0 [10/17 13:28:35] ppdet.engine INFO: Eval iter: 100 [10/17 13:28:50] ppdet.engine INFO: Eval iter: 200 [10/17 13:29:05] ppdet.engine INFO: Eval iter: 300 [10/17 13:29:20] ppdet.engine INFO: Eval iter: 400 [10/17 13:29:35] ppdet.engine INFO: Eval iter: 500 [10/17 13:29:50] ppdet.engine INFO: Eval iter: 600 [10/17 13:30:02] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/17 13:30:03] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.86s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.43s). Accumulating evaluation results... DONE (t=11.65s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.282 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.425 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.293 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 ] = 0.289 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.481 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 ] = 0.408 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 ] = 0.146 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706 [10/17 13:31:22] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.05762725912641 [10/17 13:31:22] ppdet.engine INFO: Best test bbox ap is 0.282. [10/17 13:31:22] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 13:31:24] ppdet.engine INFO: Epoch: [70] [ 0/229] learning_rate: 0.348629 loss_vfl: 0.868830 loss_bbox: 0.361194 loss_dfl: 0.212337 loss: 1.436013 eta: 1 day, 8:17:16 batch_cost: 1.2403 data_cost: 0.0016 ips: 51.6001 images/s [10/17 13:32:10] ppdet.engine INFO: Epoch: [70] [ 20/229] learning_rate: 0.348507 loss_vfl: 0.872724 loss_bbox: 0.312790 loss_dfl: 0.197045 loss: 1.388344 eta: 1 day, 8:16:29 batch_cost: 2.1657 data_cost: 0.0039 ips: 29.5519 images/s [10/17 13:32:57] ppdet.engine INFO: Epoch: [70] [ 40/229] learning_rate: 0.348384 loss_vfl: 0.861758 loss_bbox: 0.334459 loss_dfl: 0.201809 loss: 1.408506 eta: 1 day, 8:15:39 batch_cost: 2.1161 data_cost: 0.0029 ips: 30.2443 images/s [10/17 13:33:44] ppdet.engine INFO: Epoch: [70] [ 60/229] learning_rate: 0.348261 loss_vfl: 0.850171 loss_bbox: 0.346520 loss_dfl: 0.214613 loss: 1.422428 eta: 1 day, 8:14:52 batch_cost: 2.1609 data_cost: 0.0023 ips: 29.6176 images/s [10/17 13:34:31] ppdet.engine INFO: Epoch: [70] [ 80/229] learning_rate: 0.348138 loss_vfl: 0.868787 loss_bbox: 0.307394 loss_dfl: 0.193204 loss: 1.399031 eta: 1 day, 8:14:03 batch_cost: 2.1350 data_cost: 0.0046 ips: 29.9760 images/s [10/17 13:35:19] ppdet.engine INFO: Epoch: [70] [100/229] learning_rate: 0.348015 loss_vfl: 0.849584 loss_bbox: 0.355117 loss_dfl: 0.205847 loss: 1.412886 eta: 1 day, 8:13:22 batch_cost: 2.2499 data_cost: 0.0036 ips: 28.4453 images/s [10/17 13:36:06] ppdet.engine INFO: Epoch: [70] [120/229] learning_rate: 0.347892 loss_vfl: 0.861139 loss_bbox: 0.310578 loss_dfl: 0.199038 loss: 1.373003 eta: 1 day, 8:12:37 batch_cost: 2.1834 data_cost: 0.0028 ips: 29.3125 images/s [10/17 13:36:53] ppdet.engine INFO: Epoch: [70] [140/229] learning_rate: 0.347769 loss_vfl: 0.860037 loss_bbox: 0.333466 loss_dfl: 0.210136 loss: 1.404795 eta: 1 day, 8:11:51 batch_cost: 2.1782 data_cost: 0.0101 ips: 29.3821 images/s [10/17 13:37:40] ppdet.engine INFO: Epoch: [70] [160/229] learning_rate: 0.347646 loss_vfl: 0.876236 loss_bbox: 0.311180 loss_dfl: 0.202265 loss: 1.399688 eta: 1 day, 8:11:03 batch_cost: 2.1523 data_cost: 0.0032 ips: 29.7359 images/s [10/17 13:38:26] ppdet.engine INFO: Epoch: [70] [180/229] learning_rate: 0.347522 loss_vfl: 0.853901 loss_bbox: 0.336418 loss_dfl: 0.198013 loss: 1.412666 eta: 1 day, 8:10:12 batch_cost: 2.0954 data_cost: 0.0041 ips: 30.5428 images/s [10/17 13:39:12] ppdet.engine INFO: Epoch: [70] [200/229] learning_rate: 0.347399 loss_vfl: 0.871540 loss_bbox: 0.338193 loss_dfl: 0.210173 loss: 1.427172 eta: 1 day, 8:09:23 batch_cost: 2.1356 data_cost: 0.0047 ips: 29.9676 images/s [10/17 13:39:50] ppdet.engine INFO: Epoch: [70] [220/229] learning_rate: 0.347275 loss_vfl: 0.870495 loss_bbox: 0.324433 loss_dfl: 0.197856 loss: 1.402149 eta: 1 day, 8:08:07 batch_cost: 1.7167 data_cost: 0.0043 ips: 37.2813 images/s [10/17 13:40:33] ppdet.engine INFO: Epoch: [71] [ 0/229] learning_rate: 0.347219 loss_vfl: 0.852251 loss_bbox: 0.327938 loss_dfl: 0.202974 loss: 1.396179 eta: 1 day, 8:08:47 batch_cost: 2.7200 data_cost: 0.7943 ips: 23.5295 images/s [10/17 13:41:20] ppdet.engine INFO: Epoch: [71] [ 20/229] learning_rate: 0.347096 loss_vfl: 0.854108 loss_bbox: 0.314666 loss_dfl: 0.191414 loss: 1.367507 eta: 1 day, 8:08:00 batch_cost: 2.1579 data_cost: 0.0034 ips: 29.6579 images/s [10/17 13:42:07] ppdet.engine INFO: Epoch: [71] [ 40/229] learning_rate: 0.346972 loss_vfl: 0.866722 loss_bbox: 0.322312 loss_dfl: 0.209439 loss: 1.405744 eta: 1 day, 8:07:15 batch_cost: 2.1970 data_cost: 0.0029 ips: 29.1305 images/s [10/17 13:42:55] ppdet.engine INFO: Epoch: [71] [ 60/229] learning_rate: 0.346847 loss_vfl: 0.864743 loss_bbox: 0.337162 loss_dfl: 0.204173 loss: 1.400994 eta: 1 day, 8:06:31 batch_cost: 2.2111 data_cost: 0.0072 ips: 28.9452 images/s [10/17 13:43:43] ppdet.engine INFO: Epoch: [71] [ 80/229] learning_rate: 0.346723 loss_vfl: 0.877008 loss_bbox: 0.336735 loss_dfl: 0.208062 loss: 1.437829 eta: 1 day, 8:05:48 batch_cost: 2.2222 data_cost: 0.0032 ips: 28.8004 images/s [10/17 13:44:29] ppdet.engine INFO: Epoch: [71] [100/229] learning_rate: 0.346599 loss_vfl: 0.877430 loss_bbox: 0.327127 loss_dfl: 0.201873 loss: 1.411306 eta: 1 day, 8:04:59 batch_cost: 2.1245 data_cost: 0.0051 ips: 30.1253 images/s [10/17 13:45:15] ppdet.engine INFO: Epoch: [71] [120/229] learning_rate: 0.346474 loss_vfl: 0.874407 loss_bbox: 0.328434 loss_dfl: 0.200083 loss: 1.410012 eta: 1 day, 8:04:08 batch_cost: 2.1120 data_cost: 0.0033 ips: 30.3025 images/s [10/17 13:46:02] ppdet.engine INFO: Epoch: [71] [140/229] learning_rate: 0.346350 loss_vfl: 0.874129 loss_bbox: 0.327776 loss_dfl: 0.196686 loss: 1.383256 eta: 1 day, 8:03:21 batch_cost: 2.1517 data_cost: 0.0035 ips: 29.7435 images/s [10/17 13:46:48] ppdet.engine INFO: Epoch: [71] [160/229] learning_rate: 0.346225 loss_vfl: 0.866658 loss_bbox: 0.339218 loss_dfl: 0.210870 loss: 1.410605 eta: 1 day, 8:02:31 batch_cost: 2.1247 data_cost: 0.0025 ips: 30.1213 images/s [10/17 13:47:33] ppdet.engine INFO: Epoch: [71] [180/229] learning_rate: 0.346100 loss_vfl: 0.868262 loss_bbox: 0.311587 loss_dfl: 0.197775 loss: 1.380893 eta: 1 day, 8:01:39 batch_cost: 2.0753 data_cost: 0.0028 ips: 30.8393 images/s [10/17 13:48:19] ppdet.engine INFO: Epoch: [71] [200/229] learning_rate: 0.345975 loss_vfl: 0.884908 loss_bbox: 0.317422 loss_dfl: 0.199093 loss: 1.417585 eta: 1 day, 8:00:51 batch_cost: 2.1388 data_cost: 0.0037 ips: 29.9235 images/s [10/17 13:48:58] ppdet.engine INFO: Epoch: [71] [220/229] learning_rate: 0.345850 loss_vfl: 0.868638 loss_bbox: 0.309132 loss_dfl: 0.198848 loss: 1.368414 eta: 1 day, 7:59:37 batch_cost: 1.7435 data_cost: 0.0033 ips: 36.7078 images/s [10/17 13:49:39] ppdet.engine INFO: Epoch: [72] [ 0/229] learning_rate: 0.345794 loss_vfl: 0.871263 loss_bbox: 0.312819 loss_dfl: 0.198835 loss: 1.386210 eta: 1 day, 8:00:11 batch_cost: 2.6243 data_cost: 0.9135 ips: 24.3871 images/s [10/17 13:50:29] ppdet.engine INFO: Epoch: [72] [ 20/229] learning_rate: 0.345668 loss_vfl: 0.873506 loss_bbox: 0.317364 loss_dfl: 0.198046 loss: 1.377768 eta: 1 day, 7:59:34 batch_cost: 2.3126 data_cost: 0.0032 ips: 27.6743 images/s [10/17 13:51:19] ppdet.engine INFO: Epoch: [72] [ 40/229] learning_rate: 0.345543 loss_vfl: 0.860097 loss_bbox: 0.318250 loss_dfl: 0.193054 loss: 1.378993 eta: 1 day, 7:58:56 batch_cost: 2.3053 data_cost: 0.0018 ips: 27.7626 images/s [10/17 13:52:08] ppdet.engine INFO: Epoch: [72] [ 60/229] learning_rate: 0.345418 loss_vfl: 0.857924 loss_bbox: 0.318820 loss_dfl: 0.203081 loss: 1.385656 eta: 1 day, 7:58:18 batch_cost: 2.3042 data_cost: 0.0018 ips: 27.7756 images/s [10/17 13:52:56] ppdet.engine INFO: Epoch: [72] [ 80/229] learning_rate: 0.345292 loss_vfl: 0.866189 loss_bbox: 0.331472 loss_dfl: 0.207970 loss: 1.393983 eta: 1 day, 7:57:29 batch_cost: 2.1396 data_cost: 0.0035 ips: 29.9126 images/s [10/17 13:53:43] ppdet.engine INFO: Epoch: [72] [100/229] learning_rate: 0.345166 loss_vfl: 0.864784 loss_bbox: 0.328660 loss_dfl: 0.205552 loss: 1.389858 eta: 1 day, 7:56:41 batch_cost: 2.1348 data_cost: 0.0062 ips: 29.9799 images/s [10/17 13:54:30] ppdet.engine INFO: Epoch: [72] [120/229] learning_rate: 0.345040 loss_vfl: 0.871155 loss_bbox: 0.320782 loss_dfl: 0.199742 loss: 1.398267 eta: 1 day, 7:55:51 batch_cost: 2.1089 data_cost: 0.0106 ips: 30.3474 images/s [10/17 13:55:18] ppdet.engine INFO: Epoch: [72] [140/229] learning_rate: 0.344914 loss_vfl: 0.867649 loss_bbox: 0.333008 loss_dfl: 0.206372 loss: 1.402074 eta: 1 day, 7:55:05 batch_cost: 2.1844 data_cost: 0.0072 ips: 29.2986 images/s [10/17 13:56:06] ppdet.engine INFO: Epoch: [72] [160/229] learning_rate: 0.344788 loss_vfl: 0.867659 loss_bbox: 0.324033 loss_dfl: 0.205460 loss: 1.401410 eta: 1 day, 7:54:20 batch_cost: 2.1874 data_cost: 0.0054 ips: 29.2582 images/s [10/17 13:56:53] ppdet.engine INFO: Epoch: [72] [180/229] learning_rate: 0.344662 loss_vfl: 0.874093 loss_bbox: 0.328000 loss_dfl: 0.197738 loss: 1.393844 eta: 1 day, 7:53:35 batch_cost: 2.1911 data_cost: 0.0026 ips: 29.2094 images/s [10/17 13:57:38] ppdet.engine INFO: Epoch: [72] [200/229] learning_rate: 0.344535 loss_vfl: 0.855017 loss_bbox: 0.350112 loss_dfl: 0.219961 loss: 1.414650 eta: 1 day, 7:52:43 batch_cost: 2.0921 data_cost: 0.0038 ips: 30.5914 images/s [10/17 13:58:17] ppdet.engine INFO: Epoch: [72] [220/229] learning_rate: 0.344409 loss_vfl: 0.893289 loss_bbox: 0.315306 loss_dfl: 0.196853 loss: 1.399197 eta: 1 day, 7:51:33 batch_cost: 1.7806 data_cost: 0.0035 ips: 35.9430 images/s [10/17 13:59:01] ppdet.engine INFO: Epoch: [73] [ 0/229] learning_rate: 0.344352 loss_vfl: 0.903374 loss_bbox: 0.308173 loss_dfl: 0.193442 loss: 1.399026 eta: 1 day, 7:52:13 batch_cost: 2.7891 data_cost: 1.0036 ips: 22.9462 images/s [10/17 13:59:49] ppdet.engine INFO: Epoch: [73] [ 20/229] learning_rate: 0.344225 loss_vfl: 0.862367 loss_bbox: 0.348762 loss_dfl: 0.212344 loss: 1.420557 eta: 1 day, 7:51:27 batch_cost: 2.1752 data_cost: 0.0033 ips: 29.4232 images/s [10/17 14:00:36] ppdet.engine INFO: Epoch: [73] [ 40/229] learning_rate: 0.344099 loss_vfl: 0.873550 loss_bbox: 0.306904 loss_dfl: 0.198693 loss: 1.380254 eta: 1 day, 7:50:41 batch_cost: 2.1712 data_cost: 0.0026 ips: 29.4762 images/s [10/17 14:01:23] ppdet.engine INFO: Epoch: [73] [ 60/229] learning_rate: 0.343972 loss_vfl: 0.860717 loss_bbox: 0.325736 loss_dfl: 0.199837 loss: 1.375839 eta: 1 day, 7:49:57 batch_cost: 2.2182 data_cost: 0.0065 ips: 28.8519 images/s [10/17 14:02:12] ppdet.engine INFO: Epoch: [73] [ 80/229] learning_rate: 0.343845 loss_vfl: 0.884193 loss_bbox: 0.300550 loss_dfl: 0.190572 loss: 1.381594 eta: 1 day, 7:49:12 batch_cost: 2.1931 data_cost: 0.0022 ips: 29.1821 images/s [10/17 14:02:59] ppdet.engine INFO: Epoch: [73] [100/229] learning_rate: 0.343718 loss_vfl: 0.868159 loss_bbox: 0.329129 loss_dfl: 0.204302 loss: 1.410454 eta: 1 day, 7:48:28 batch_cost: 2.2077 data_cost: 0.0027 ips: 28.9899 images/s [10/17 14:03:45] ppdet.engine INFO: Epoch: [73] [120/229] learning_rate: 0.343590 loss_vfl: 0.867208 loss_bbox: 0.323428 loss_dfl: 0.200085 loss: 1.402878 eta: 1 day, 7:47:39 batch_cost: 2.1297 data_cost: 0.0101 ips: 30.0516 images/s [10/17 14:04:33] ppdet.engine INFO: Epoch: [73] [140/229] learning_rate: 0.343463 loss_vfl: 0.869312 loss_bbox: 0.328229 loss_dfl: 0.204925 loss: 1.411530 eta: 1 day, 7:46:51 batch_cost: 2.1380 data_cost: 0.0056 ips: 29.9338 images/s [10/17 14:05:20] ppdet.engine INFO: Epoch: [73] [160/229] learning_rate: 0.343335 loss_vfl: 0.882256 loss_bbox: 0.321878 loss_dfl: 0.199583 loss: 1.402535 eta: 1 day, 7:46:08 batch_cost: 2.2341 data_cost: 0.0060 ips: 28.6467 images/s [10/17 14:06:07] ppdet.engine INFO: Epoch: [73] [180/229] learning_rate: 0.343208 loss_vfl: 0.865947 loss_bbox: 0.330117 loss_dfl: 0.202974 loss: 1.390376 eta: 1 day, 7:45:23 batch_cost: 2.1823 data_cost: 0.0029 ips: 29.3266 images/s [10/17 14:06:53] ppdet.engine INFO: Epoch: [73] [200/229] learning_rate: 0.343080 loss_vfl: 0.862915 loss_bbox: 0.327688 loss_dfl: 0.204283 loss: 1.395957 eta: 1 day, 7:44:35 batch_cost: 2.1514 data_cost: 0.0038 ips: 29.7479 images/s [10/17 14:07:32] ppdet.engine INFO: Epoch: [73] [220/229] learning_rate: 0.342952 loss_vfl: 0.870285 loss_bbox: 0.322357 loss_dfl: 0.189702 loss: 1.387115 eta: 1 day, 7:43:24 batch_cost: 1.7713 data_cost: 0.0024 ips: 36.1314 images/s [10/17 14:08:16] ppdet.engine INFO: Epoch: [74] [ 0/229] learning_rate: 0.342895 loss_vfl: 0.869354 loss_bbox: 0.312244 loss_dfl: 0.189000 loss: 1.372501 eta: 1 day, 7:44:01 batch_cost: 2.6964 data_cost: 1.0311 ips: 23.7357 images/s [10/17 14:09:03] ppdet.engine INFO: Epoch: [74] [ 20/229] learning_rate: 0.342766 loss_vfl: 0.865531 loss_bbox: 0.304824 loss_dfl: 0.189698 loss: 1.352494 eta: 1 day, 7:43:15 batch_cost: 2.1757 data_cost: 0.0076 ips: 29.4152 images/s [10/17 14:09:50] ppdet.engine INFO: Epoch: [74] [ 40/229] learning_rate: 0.342638 loss_vfl: 0.854022 loss_bbox: 0.331028 loss_dfl: 0.195246 loss: 1.372550 eta: 1 day, 7:42:29 batch_cost: 2.1741 data_cost: 0.0024 ips: 29.4381 images/s [10/17 14:10:39] ppdet.engine INFO: Epoch: [74] [ 60/229] learning_rate: 0.342510 loss_vfl: 0.875384 loss_bbox: 0.314406 loss_dfl: 0.200565 loss: 1.386888 eta: 1 day, 7:41:47 batch_cost: 2.2415 data_cost: 0.0022 ips: 28.5521 images/s [10/17 14:11:25] ppdet.engine INFO: Epoch: [74] [ 80/229] learning_rate: 0.342382 loss_vfl: 0.849062 loss_bbox: 0.330823 loss_dfl: 0.206171 loss: 1.381287 eta: 1 day, 7:40:56 batch_cost: 2.1000 data_cost: 0.0040 ips: 30.4764 images/s [10/17 14:12:12] ppdet.engine INFO: Epoch: [74] [100/229] learning_rate: 0.342253 loss_vfl: 0.871573 loss_bbox: 0.323357 loss_dfl: 0.203670 loss: 1.409676 eta: 1 day, 7:40:09 batch_cost: 2.1573 data_cost: 0.0034 ips: 29.6673 images/s [10/17 14:12:59] ppdet.engine INFO: Epoch: [74] [120/229] learning_rate: 0.342125 loss_vfl: 0.867135 loss_bbox: 0.318124 loss_dfl: 0.205520 loss: 1.390382 eta: 1 day, 7:39:22 batch_cost: 2.1612 data_cost: 0.0046 ips: 29.6137 images/s [10/17 14:13:46] ppdet.engine INFO: Epoch: [74] [140/229] learning_rate: 0.341996 loss_vfl: 0.856543 loss_bbox: 0.324985 loss_dfl: 0.202149 loss: 1.381674 eta: 1 day, 7:38:37 batch_cost: 2.1895 data_cost: 0.0033 ips: 29.2310 images/s [10/17 14:14:34] ppdet.engine INFO: Epoch: [74] [160/229] learning_rate: 0.341867 loss_vfl: 0.872613 loss_bbox: 0.312540 loss_dfl: 0.196209 loss: 1.374605 eta: 1 day, 7:37:51 batch_cost: 2.1726 data_cost: 0.0045 ips: 29.4572 images/s [10/17 14:15:20] ppdet.engine INFO: Epoch: [74] [180/229] learning_rate: 0.341738 loss_vfl: 0.872924 loss_bbox: 0.302539 loss_dfl: 0.195093 loss: 1.375753 eta: 1 day, 7:37:01 batch_cost: 2.1151 data_cost: 0.0046 ips: 30.2590 images/s [10/17 14:16:06] ppdet.engine INFO: Epoch: [74] [200/229] learning_rate: 0.341609 loss_vfl: 0.876294 loss_bbox: 0.325297 loss_dfl: 0.208481 loss: 1.408521 eta: 1 day, 7:36:10 batch_cost: 2.0984 data_cost: 0.0098 ips: 30.4998 images/s [10/17 14:16:44] ppdet.engine INFO: Epoch: [74] [220/229] learning_rate: 0.341480 loss_vfl: 0.876321 loss_bbox: 0.327173 loss_dfl: 0.202139 loss: 1.407778 eta: 1 day, 7:34:58 batch_cost: 1.7328 data_cost: 0.0024 ips: 36.9344 images/s [10/17 14:17:26] ppdet.engine INFO: Epoch: [75] [ 0/229] learning_rate: 0.341421 loss_vfl: 0.871578 loss_bbox: 0.337657 loss_dfl: 0.209288 loss: 1.412026 eta: 1 day, 7:35:30 batch_cost: 2.6593 data_cost: 0.8235 ips: 24.0663 images/s [10/17 14:18:13] ppdet.engine INFO: Epoch: [75] [ 20/229] learning_rate: 0.341292 loss_vfl: 0.850851 loss_bbox: 0.327051 loss_dfl: 0.204900 loss: 1.377889 eta: 1 day, 7:34:44 batch_cost: 2.1756 data_cost: 0.0023 ips: 29.4171 images/s [10/17 14:19:00] ppdet.engine INFO: Epoch: [75] [ 40/229] learning_rate: 0.341162 loss_vfl: 0.871885 loss_bbox: 0.325813 loss_dfl: 0.202537 loss: 1.406271 eta: 1 day, 7:33:58 batch_cost: 2.1815 data_cost: 0.0034 ips: 29.3377 images/s [10/17 14:19:47] ppdet.engine INFO: Epoch: [75] [ 60/229] learning_rate: 0.341033 loss_vfl: 0.840252 loss_bbox: 0.333425 loss_dfl: 0.205209 loss: 1.378876 eta: 1 day, 7:33:10 batch_cost: 2.1283 data_cost: 0.0104 ips: 30.0715 images/s [10/17 14:20:34] ppdet.engine INFO: Epoch: [75] [ 80/229] learning_rate: 0.340903 loss_vfl: 0.867142 loss_bbox: 0.323154 loss_dfl: 0.208389 loss: 1.391005 eta: 1 day, 7:32:21 batch_cost: 2.1396 data_cost: 0.0038 ips: 29.9127 images/s [10/17 14:21:20] ppdet.engine INFO: Epoch: [75] [100/229] learning_rate: 0.340773 loss_vfl: 0.891478 loss_bbox: 0.318051 loss_dfl: 0.198238 loss: 1.410745 eta: 1 day, 7:31:31 batch_cost: 2.0959 data_cost: 0.0043 ips: 30.5355 images/s [10/17 14:22:08] ppdet.engine INFO: Epoch: [75] [120/229] learning_rate: 0.340643 loss_vfl: 0.888771 loss_bbox: 0.318527 loss_dfl: 0.198957 loss: 1.400332 eta: 1 day, 7:30:44 batch_cost: 2.1662 data_cost: 0.0017 ips: 29.5445 images/s [10/17 14:22:55] ppdet.engine INFO: Epoch: [75] [140/229] learning_rate: 0.340513 loss_vfl: 0.866958 loss_bbox: 0.312049 loss_dfl: 0.193941 loss: 1.393026 eta: 1 day, 7:29:59 batch_cost: 2.1915 data_cost: 0.0033 ips: 29.2033 images/s [10/17 14:23:42] ppdet.engine INFO: Epoch: [75] [160/229] learning_rate: 0.340383 loss_vfl: 0.861488 loss_bbox: 0.327747 loss_dfl: 0.199692 loss: 1.388353 eta: 1 day, 7:29:12 batch_cost: 2.1636 data_cost: 0.0039 ips: 29.5800 images/s [10/17 14:24:28] ppdet.engine INFO: Epoch: [75] [180/229] learning_rate: 0.340253 loss_vfl: 0.869301 loss_bbox: 0.345938 loss_dfl: 0.209856 loss: 1.412900 eta: 1 day, 7:28:26 batch_cost: 2.1685 data_cost: 0.0024 ips: 29.5128 images/s [10/17 14:25:15] ppdet.engine INFO: Epoch: [75] [200/229] learning_rate: 0.340122 loss_vfl: 0.862602 loss_bbox: 0.326159 loss_dfl: 0.201653 loss: 1.400168 eta: 1 day, 7:27:36 batch_cost: 2.1100 data_cost: 0.0053 ips: 30.3320 images/s [10/17 14:25:53] ppdet.engine INFO: Epoch: [75] [220/229] learning_rate: 0.339991 loss_vfl: 0.867354 loss_bbox: 0.353861 loss_dfl: 0.218452 loss: 1.414882 eta: 1 day, 7:26:26 batch_cost: 1.7605 data_cost: 0.0029 ips: 36.3543 images/s [10/17 14:26:34] ppdet.engine INFO: Epoch: [76] [ 0/229] learning_rate: 0.339933 loss_vfl: 0.869928 loss_bbox: 0.324778 loss_dfl: 0.203990 loss: 1.405554 eta: 1 day, 7:26:52 batch_cost: 2.5913 data_cost: 0.9872 ips: 24.6979 images/s [10/17 14:27:25] ppdet.engine INFO: Epoch: [76] [ 20/229] learning_rate: 0.339802 loss_vfl: 0.850438 loss_bbox: 0.322818 loss_dfl: 0.199554 loss: 1.397219 eta: 1 day, 7:26:16 batch_cost: 2.3485 data_cost: 0.0053 ips: 27.2520 images/s [10/17 14:28:13] ppdet.engine INFO: Epoch: [76] [ 40/229] learning_rate: 0.339671 loss_vfl: 0.863699 loss_bbox: 0.324071 loss_dfl: 0.198739 loss: 1.358071 eta: 1 day, 7:25:32 batch_cost: 2.2110 data_cost: 0.0039 ips: 28.9458 images/s [10/17 14:28:59] ppdet.engine INFO: Epoch: [76] [ 60/229] learning_rate: 0.339540 loss_vfl: 0.857486 loss_bbox: 0.325062 loss_dfl: 0.202046 loss: 1.381098 eta: 1 day, 7:24:43 batch_cost: 2.1253 data_cost: 0.0035 ips: 30.1139 images/s [10/17 14:29:47] ppdet.engine INFO: Epoch: [76] [ 80/229] learning_rate: 0.339409 loss_vfl: 0.852229 loss_bbox: 0.308412 loss_dfl: 0.201840 loss: 1.364720 eta: 1 day, 7:24:00 batch_cost: 2.2261 data_cost: 0.0024 ips: 28.7499 images/s [10/17 14:30:33] ppdet.engine INFO: Epoch: [76] [100/229] learning_rate: 0.339278 loss_vfl: 0.848413 loss_bbox: 0.342217 loss_dfl: 0.211113 loss: 1.404118 eta: 1 day, 7:23:13 batch_cost: 2.1575 data_cost: 0.0042 ips: 29.6638 images/s [10/17 14:31:20] ppdet.engine INFO: Epoch: [76] [120/229] learning_rate: 0.339146 loss_vfl: 0.869231 loss_bbox: 0.333353 loss_dfl: 0.211359 loss: 1.417818 eta: 1 day, 7:22:27 batch_cost: 2.1761 data_cost: 0.0039 ips: 29.4110 images/s [10/17 14:32:08] ppdet.engine INFO: Epoch: [76] [140/229] learning_rate: 0.339015 loss_vfl: 0.873810 loss_bbox: 0.316887 loss_dfl: 0.199026 loss: 1.394186 eta: 1 day, 7:21:44 batch_cost: 2.2177 data_cost: 0.0022 ips: 28.8587 images/s [10/17 14:32:55] ppdet.engine INFO: Epoch: [76] [160/229] learning_rate: 0.338883 loss_vfl: 0.860600 loss_bbox: 0.330111 loss_dfl: 0.202954 loss: 1.392805 eta: 1 day, 7:20:57 batch_cost: 2.1602 data_cost: 0.0037 ips: 29.6262 images/s [10/17 14:33:41] ppdet.engine INFO: Epoch: [76] [180/229] learning_rate: 0.338752 loss_vfl: 0.875214 loss_bbox: 0.345176 loss_dfl: 0.207574 loss: 1.416780 eta: 1 day, 7:20:08 batch_cost: 2.1208 data_cost: 0.0049 ips: 30.1773 images/s [10/17 14:34:28] ppdet.engine INFO: Epoch: [76] [200/229] learning_rate: 0.338620 loss_vfl: 0.872572 loss_bbox: 0.314217 loss_dfl: 0.198970 loss: 1.380059 eta: 1 day, 7:19:22 batch_cost: 2.1792 data_cost: 0.0043 ips: 29.3690 images/s [10/17 14:35:06] ppdet.engine INFO: Epoch: [76] [220/229] learning_rate: 0.338488 loss_vfl: 0.856369 loss_bbox: 0.345339 loss_dfl: 0.207767 loss: 1.406448 eta: 1 day, 7:18:12 batch_cost: 1.7719 data_cost: 0.0033 ips: 36.1196 images/s [10/17 14:35:48] ppdet.engine INFO: Epoch: [77] [ 0/229] learning_rate: 0.338429 loss_vfl: 0.865343 loss_bbox: 0.331849 loss_dfl: 0.205201 loss: 1.395562 eta: 1 day, 7:18:42 batch_cost: 2.6564 data_cost: 0.7425 ips: 24.0932 images/s [10/17 14:36:37] ppdet.engine INFO: Epoch: [77] [ 20/229] learning_rate: 0.338297 loss_vfl: 0.836245 loss_bbox: 0.339526 loss_dfl: 0.205650 loss: 1.405531 eta: 1 day, 7:18:01 batch_cost: 2.2713 data_cost: 0.0034 ips: 28.1773 images/s [10/17 14:37:25] ppdet.engine INFO: Epoch: [77] [ 40/229] learning_rate: 0.338164 loss_vfl: 0.859104 loss_bbox: 0.329716 loss_dfl: 0.207221 loss: 1.408098 eta: 1 day, 7:17:17 batch_cost: 2.1989 data_cost: 0.0041 ips: 29.1061 images/s [10/17 14:38:12] ppdet.engine INFO: Epoch: [77] [ 60/229] learning_rate: 0.338032 loss_vfl: 0.845703 loss_bbox: 0.322939 loss_dfl: 0.203957 loss: 1.372077 eta: 1 day, 7:16:29 batch_cost: 2.1468 data_cost: 0.0061 ips: 29.8114 images/s [10/17 14:38:59] ppdet.engine INFO: Epoch: [77] [ 80/229] learning_rate: 0.337900 loss_vfl: 0.886484 loss_bbox: 0.295215 loss_dfl: 0.194733 loss: 1.389832 eta: 1 day, 7:15:45 batch_cost: 2.2101 data_cost: 0.0034 ips: 28.9574 images/s [10/17 14:39:46] ppdet.engine INFO: Epoch: [77] [100/229] learning_rate: 0.337767 loss_vfl: 0.867847 loss_bbox: 0.318830 loss_dfl: 0.201642 loss: 1.384480 eta: 1 day, 7:14:58 batch_cost: 2.1670 data_cost: 0.0038 ips: 29.5342 images/s [10/17 14:40:34] ppdet.engine INFO: Epoch: [77] [120/229] learning_rate: 0.337634 loss_vfl: 0.848585 loss_bbox: 0.336290 loss_dfl: 0.205899 loss: 1.380412 eta: 1 day, 7:14:16 batch_cost: 2.2297 data_cost: 0.0028 ips: 28.7035 images/s [10/17 14:41:21] ppdet.engine INFO: Epoch: [77] [140/229] learning_rate: 0.337502 loss_vfl: 0.855747 loss_bbox: 0.309968 loss_dfl: 0.193696 loss: 1.354532 eta: 1 day, 7:13:32 batch_cost: 2.2227 data_cost: 0.0052 ips: 28.7940 images/s [10/17 14:42:07] ppdet.engine INFO: Epoch: [77] [160/229] learning_rate: 0.337369 loss_vfl: 0.871839 loss_bbox: 0.314421 loss_dfl: 0.193397 loss: 1.400363 eta: 1 day, 7:12:39 batch_cost: 2.0515 data_cost: 0.0057 ips: 31.1963 images/s [10/17 14:42:54] ppdet.engine INFO: Epoch: [77] [180/229] learning_rate: 0.337236 loss_vfl: 0.873927 loss_bbox: 0.319269 loss_dfl: 0.196521 loss: 1.391933 eta: 1 day, 7:11:51 batch_cost: 2.1393 data_cost: 0.0015 ips: 29.9165 images/s [10/17 14:43:39] ppdet.engine INFO: Epoch: [77] [200/229] learning_rate: 0.337103 loss_vfl: 0.853757 loss_bbox: 0.314336 loss_dfl: 0.198489 loss: 1.378704 eta: 1 day, 7:11:00 batch_cost: 2.0772 data_cost: 0.0017 ips: 30.8109 images/s [10/17 14:44:17] ppdet.engine INFO: Epoch: [77] [220/229] learning_rate: 0.336969 loss_vfl: 0.852409 loss_bbox: 0.319641 loss_dfl: 0.195573 loss: 1.374565 eta: 1 day, 7:09:51 batch_cost: 1.7715 data_cost: 0.0016 ips: 36.1269 images/s [10/17 14:45:01] ppdet.engine INFO: Epoch: [78] [ 0/229] learning_rate: 0.336909 loss_vfl: 0.861028 loss_bbox: 0.326254 loss_dfl: 0.199159 loss: 1.377362 eta: 1 day, 7:10:21 batch_cost: 2.6612 data_cost: 1.0414 ips: 24.0494 images/s [10/17 14:45:48] ppdet.engine INFO: Epoch: [78] [ 20/229] learning_rate: 0.336776 loss_vfl: 0.857765 loss_bbox: 0.323559 loss_dfl: 0.205907 loss: 1.397453 eta: 1 day, 7:09:32 batch_cost: 2.1324 data_cost: 0.0040 ips: 30.0125 images/s [10/17 14:46:35] ppdet.engine INFO: Epoch: [78] [ 40/229] learning_rate: 0.336643 loss_vfl: 0.863673 loss_bbox: 0.318249 loss_dfl: 0.202500 loss: 1.405037 eta: 1 day, 7:08:46 batch_cost: 2.1718 data_cost: 0.0033 ips: 29.4693 images/s [10/17 14:47:23] ppdet.engine INFO: Epoch: [78] [ 60/229] learning_rate: 0.336509 loss_vfl: 0.858224 loss_bbox: 0.310601 loss_dfl: 0.197212 loss: 1.364419 eta: 1 day, 7:07:59 batch_cost: 2.1538 data_cost: 0.0056 ips: 29.7154 images/s [10/17 14:48:11] ppdet.engine INFO: Epoch: [78] [ 80/229] learning_rate: 0.336375 loss_vfl: 0.864001 loss_bbox: 0.310136 loss_dfl: 0.194819 loss: 1.358327 eta: 1 day, 7:07:15 batch_cost: 2.2116 data_cost: 0.0076 ips: 28.9385 images/s [10/17 14:48:58] ppdet.engine INFO: Epoch: [78] [100/229] learning_rate: 0.336241 loss_vfl: 0.884564 loss_bbox: 0.329420 loss_dfl: 0.203009 loss: 1.414783 eta: 1 day, 7:06:31 batch_cost: 2.2020 data_cost: 0.0049 ips: 29.0651 images/s [10/17 14:49:45] ppdet.engine INFO: Epoch: [78] [120/229] learning_rate: 0.336107 loss_vfl: 0.865876 loss_bbox: 0.337490 loss_dfl: 0.201551 loss: 1.403553 eta: 1 day, 7:05:44 batch_cost: 2.1604 data_cost: 0.0042 ips: 29.6238 images/s [10/17 14:50:33] ppdet.engine INFO: Epoch: [78] [140/229] learning_rate: 0.335973 loss_vfl: 0.884328 loss_bbox: 0.318074 loss_dfl: 0.201044 loss: 1.406793 eta: 1 day, 7:04:56 batch_cost: 2.1425 data_cost: 0.0039 ips: 29.8713 images/s [10/17 14:51:20] ppdet.engine INFO: Epoch: [78] [160/229] learning_rate: 0.335839 loss_vfl: 0.859236 loss_bbox: 0.313981 loss_dfl: 0.193802 loss: 1.388643 eta: 1 day, 7:04:08 batch_cost: 2.1391 data_cost: 0.0063 ips: 29.9197 images/s [10/17 14:52:07] ppdet.engine INFO: Epoch: [78] [180/229] learning_rate: 0.335705 loss_vfl: 0.862790 loss_bbox: 0.323425 loss_dfl: 0.205987 loss: 1.390372 eta: 1 day, 7:03:20 batch_cost: 2.1455 data_cost: 0.0027 ips: 29.8305 images/s [10/17 14:52:53] ppdet.engine INFO: Epoch: [78] [200/229] learning_rate: 0.335570 loss_vfl: 0.871784 loss_bbox: 0.314745 loss_dfl: 0.194383 loss: 1.392789 eta: 1 day, 7:02:32 batch_cost: 2.1258 data_cost: 0.0073 ips: 30.1067 images/s [10/17 14:53:31] ppdet.engine INFO: Epoch: [78] [220/229] learning_rate: 0.335436 loss_vfl: 0.872513 loss_bbox: 0.333985 loss_dfl: 0.208321 loss: 1.415587 eta: 1 day, 7:01:22 batch_cost: 1.7523 data_cost: 0.0017 ips: 36.5237 images/s [10/17 14:54:13] ppdet.engine INFO: Epoch: [79] [ 0/229] learning_rate: 0.335375 loss_vfl: 0.863479 loss_bbox: 0.332007 loss_dfl: 0.206691 loss: 1.408263 eta: 1 day, 7:01:51 batch_cost: 2.6536 data_cost: 0.7426 ips: 24.1178 images/s [10/17 14:55:02] ppdet.engine INFO: Epoch: [79] [ 20/229] learning_rate: 0.335240 loss_vfl: 0.863157 loss_bbox: 0.316924 loss_dfl: 0.197315 loss: 1.385199 eta: 1 day, 7:01:10 batch_cost: 2.2595 data_cost: 0.0020 ips: 28.3244 images/s [10/17 14:55:49] ppdet.engine INFO: Epoch: [79] [ 40/229] learning_rate: 0.335106 loss_vfl: 0.862257 loss_bbox: 0.299743 loss_dfl: 0.193674 loss: 1.388991 eta: 1 day, 7:00:25 batch_cost: 2.1899 data_cost: 0.0042 ips: 29.2256 images/s [10/17 14:56:37] ppdet.engine INFO: Epoch: [79] [ 60/229] learning_rate: 0.334971 loss_vfl: 0.854930 loss_bbox: 0.328424 loss_dfl: 0.200671 loss: 1.387956 eta: 1 day, 6:59:40 batch_cost: 2.2003 data_cost: 0.0031 ips: 29.0868 images/s [10/17 14:57:24] ppdet.engine INFO: Epoch: [79] [ 80/229] learning_rate: 0.334836 loss_vfl: 0.853502 loss_bbox: 0.335875 loss_dfl: 0.202346 loss: 1.398151 eta: 1 day, 6:58:56 batch_cost: 2.2017 data_cost: 0.0043 ips: 29.0690 images/s [10/17 14:58:13] ppdet.engine INFO: Epoch: [79] [100/229] learning_rate: 0.334701 loss_vfl: 0.873380 loss_bbox: 0.324915 loss_dfl: 0.207653 loss: 1.412546 eta: 1 day, 6:58:15 batch_cost: 2.2732 data_cost: 0.0018 ips: 28.1545 images/s [10/17 14:59:00] ppdet.engine INFO: Epoch: [79] [120/229] learning_rate: 0.334565 loss_vfl: 0.865591 loss_bbox: 0.303751 loss_dfl: 0.201882 loss: 1.402236 eta: 1 day, 6:57:30 batch_cost: 2.1786 data_cost: 0.0040 ips: 29.3762 images/s [10/17 14:59:48] ppdet.engine INFO: Epoch: [79] [140/229] learning_rate: 0.334430 loss_vfl: 0.864626 loss_bbox: 0.332199 loss_dfl: 0.207979 loss: 1.386903 eta: 1 day, 6:56:45 batch_cost: 2.1980 data_cost: 0.0062 ips: 29.1180 images/s [10/17 15:00:35] ppdet.engine INFO: Epoch: [79] [160/229] learning_rate: 0.334294 loss_vfl: 0.871627 loss_bbox: 0.334419 loss_dfl: 0.207914 loss: 1.386752 eta: 1 day, 6:56:02 batch_cost: 2.2221 data_cost: 0.0043 ips: 28.8013 images/s [10/17 15:01:22] ppdet.engine INFO: Epoch: [79] [180/229] learning_rate: 0.334159 loss_vfl: 0.869663 loss_bbox: 0.323430 loss_dfl: 0.199048 loss: 1.396094 eta: 1 day, 6:55:14 batch_cost: 2.1533 data_cost: 0.0042 ips: 29.7218 images/s [10/17 15:02:09] ppdet.engine INFO: Epoch: [79] [200/229] learning_rate: 0.334023 loss_vfl: 0.857785 loss_bbox: 0.338498 loss_dfl: 0.213150 loss: 1.425596 eta: 1 day, 6:54:27 batch_cost: 2.1472 data_cost: 0.0031 ips: 29.8069 images/s [10/17 15:02:48] ppdet.engine INFO: Epoch: [79] [220/229] learning_rate: 0.333887 loss_vfl: 0.856933 loss_bbox: 0.349453 loss_dfl: 0.213186 loss: 1.424862 eta: 1 day, 6:53:18 batch_cost: 1.7514 data_cost: 0.0037 ips: 36.5424 images/s [10/17 15:03:02] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 15:03:03] ppdet.engine INFO: Eval iter: 0 [10/17 15:03:44] ppdet.engine INFO: Eval iter: 100 [10/17 15:04:00] ppdet.engine INFO: Eval iter: 200 [10/17 15:04:15] ppdet.engine INFO: Eval iter: 300 [10/17 15:04:30] ppdet.engine INFO: Eval iter: 400 [10/17 15:04:46] ppdet.engine INFO: Eval iter: 500 [10/17 15:05:01] ppdet.engine INFO: Eval iter: 600 [10/17 15:05:13] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.50s) creating index... index created! [10/17 15:05:13] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.64s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=62.33s). Accumulating evaluation results... DONE (t=11.59s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.286 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.431 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.089 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.294 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 ] = 0.263 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.410 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.436 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.147 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 ] = 0.707 [10/17 15:06:35] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.39395975749602 [10/17 15:06:35] ppdet.engine INFO: Best test bbox ap is 0.286. [10/17 15:06:35] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 15:06:36] ppdet.engine INFO: Epoch: [80] [ 0/229] learning_rate: 0.333826 loss_vfl: 0.857185 loss_bbox: 0.353181 loss_dfl: 0.213186 loss: 1.429316 eta: 1 day, 6:52:31 batch_cost: 1.2778 data_cost: 0.0020 ips: 50.0873 images/s [10/17 15:07:22] ppdet.engine INFO: Epoch: [80] [ 20/229] learning_rate: 0.333690 loss_vfl: 0.859779 loss_bbox: 0.326387 loss_dfl: 0.204811 loss: 1.385448 eta: 1 day, 6:51:43 batch_cost: 2.1398 data_cost: 0.0024 ips: 29.9094 images/s [10/17 15:08:10] ppdet.engine INFO: Epoch: [80] [ 40/229] learning_rate: 0.333554 loss_vfl: 0.869752 loss_bbox: 0.331694 loss_dfl: 0.200757 loss: 1.400706 eta: 1 day, 6:50:58 batch_cost: 2.1851 data_cost: 0.0039 ips: 29.2897 images/s [10/17 15:08:57] ppdet.engine INFO: Epoch: [80] [ 60/229] learning_rate: 0.333418 loss_vfl: 0.857041 loss_bbox: 0.330326 loss_dfl: 0.207066 loss: 1.396143 eta: 1 day, 6:50:08 batch_cost: 2.1036 data_cost: 0.0056 ips: 30.4238 images/s [10/17 15:09:44] ppdet.engine INFO: Epoch: [80] [ 80/229] learning_rate: 0.333281 loss_vfl: 0.879898 loss_bbox: 0.301535 loss_dfl: 0.194707 loss: 1.383951 eta: 1 day, 6:49:21 batch_cost: 2.1480 data_cost: 0.0023 ips: 29.7953 images/s [10/17 15:10:31] ppdet.engine INFO: Epoch: [80] [100/229] learning_rate: 0.333145 loss_vfl: 0.863015 loss_bbox: 0.318701 loss_dfl: 0.200640 loss: 1.392272 eta: 1 day, 6:48:35 batch_cost: 2.1718 data_cost: 0.0029 ips: 29.4689 images/s [10/17 15:11:19] ppdet.engine INFO: Epoch: [80] [120/229] learning_rate: 0.333009 loss_vfl: 0.883762 loss_bbox: 0.321412 loss_dfl: 0.202956 loss: 1.394141 eta: 1 day, 6:47:52 batch_cost: 2.2230 data_cost: 0.0048 ips: 28.7900 images/s [10/17 15:12:07] ppdet.engine INFO: Epoch: [80] [140/229] learning_rate: 0.332872 loss_vfl: 0.855596 loss_bbox: 0.328184 loss_dfl: 0.206376 loss: 1.388772 eta: 1 day, 6:47:09 batch_cost: 2.2394 data_cost: 0.0036 ips: 28.5795 images/s [10/17 15:12:54] ppdet.engine INFO: Epoch: [80] [160/229] learning_rate: 0.332735 loss_vfl: 0.855537 loss_bbox: 0.314758 loss_dfl: 0.198546 loss: 1.373306 eta: 1 day, 6:46:23 batch_cost: 2.1662 data_cost: 0.0057 ips: 29.5451 images/s [10/17 15:13:41] ppdet.engine INFO: Epoch: [80] [180/229] learning_rate: 0.332598 loss_vfl: 0.868003 loss_bbox: 0.317344 loss_dfl: 0.195304 loss: 1.381715 eta: 1 day, 6:45:37 batch_cost: 2.1763 data_cost: 0.0023 ips: 29.4079 images/s [10/17 15:14:27] ppdet.engine INFO: Epoch: [80] [200/229] learning_rate: 0.332461 loss_vfl: 0.864200 loss_bbox: 0.333817 loss_dfl: 0.204243 loss: 1.409846 eta: 1 day, 6:44:47 batch_cost: 2.0940 data_cost: 0.0023 ips: 30.5638 images/s [10/17 15:15:05] ppdet.engine INFO: Epoch: [80] [220/229] learning_rate: 0.332324 loss_vfl: 0.870897 loss_bbox: 0.323375 loss_dfl: 0.202026 loss: 1.384503 eta: 1 day, 6:43:37 batch_cost: 1.7214 data_cost: 0.0038 ips: 37.1795 images/s [10/17 15:15:46] ppdet.engine INFO: Epoch: [81] [ 0/229] learning_rate: 0.332262 loss_vfl: 0.872218 loss_bbox: 0.325493 loss_dfl: 0.205157 loss: 1.388038 eta: 1 day, 6:44:02 batch_cost: 2.6010 data_cost: 0.8922 ips: 24.6063 images/s [10/17 15:16:35] ppdet.engine INFO: Epoch: [81] [ 20/229] learning_rate: 0.332125 loss_vfl: 0.861977 loss_bbox: 0.336179 loss_dfl: 0.206476 loss: 1.400284 eta: 1 day, 6:43:21 batch_cost: 2.2496 data_cost: 0.0028 ips: 28.4497 images/s [10/17 15:17:22] ppdet.engine INFO: Epoch: [81] [ 40/229] learning_rate: 0.331988 loss_vfl: 0.857653 loss_bbox: 0.313886 loss_dfl: 0.196768 loss: 1.346663 eta: 1 day, 6:42:35 batch_cost: 2.1705 data_cost: 0.0035 ips: 29.4866 images/s [10/17 15:18:08] ppdet.engine INFO: Epoch: [81] [ 60/229] learning_rate: 0.331850 loss_vfl: 0.859550 loss_bbox: 0.303765 loss_dfl: 0.195804 loss: 1.352788 eta: 1 day, 6:41:47 batch_cost: 2.1452 data_cost: 0.0048 ips: 29.8336 images/s [10/17 15:18:55] ppdet.engine INFO: Epoch: [81] [ 80/229] learning_rate: 0.331713 loss_vfl: 0.864477 loss_bbox: 0.329731 loss_dfl: 0.198875 loss: 1.399377 eta: 1 day, 6:41:01 batch_cost: 2.1713 data_cost: 0.0027 ips: 29.4756 images/s [10/17 15:19:43] ppdet.engine INFO: Epoch: [81] [100/229] learning_rate: 0.331575 loss_vfl: 0.870193 loss_bbox: 0.317756 loss_dfl: 0.199514 loss: 1.391176 eta: 1 day, 6:40:18 batch_cost: 2.2217 data_cost: 0.0026 ips: 28.8068 images/s [10/17 15:20:30] ppdet.engine INFO: Epoch: [81] [120/229] learning_rate: 0.331437 loss_vfl: 0.853549 loss_bbox: 0.329724 loss_dfl: 0.197686 loss: 1.394093 eta: 1 day, 6:39:29 batch_cost: 2.1191 data_cost: 0.0027 ips: 30.2018 images/s [10/17 15:21:17] ppdet.engine INFO: Epoch: [81] [140/229] learning_rate: 0.331299 loss_vfl: 0.851517 loss_bbox: 0.323902 loss_dfl: 0.203723 loss: 1.394107 eta: 1 day, 6:38:43 batch_cost: 2.1612 data_cost: 0.0060 ips: 29.6126 images/s [10/17 15:22:03] ppdet.engine INFO: Epoch: [81] [160/229] learning_rate: 0.331161 loss_vfl: 0.868951 loss_bbox: 0.329126 loss_dfl: 0.206290 loss: 1.378599 eta: 1 day, 6:37:57 batch_cost: 2.1716 data_cost: 0.0130 ips: 29.4716 images/s [10/17 15:22:49] ppdet.engine INFO: Epoch: [81] [180/229] learning_rate: 0.331023 loss_vfl: 0.860547 loss_bbox: 0.336881 loss_dfl: 0.205539 loss: 1.393433 eta: 1 day, 6:37:08 batch_cost: 2.1279 data_cost: 0.0058 ips: 30.0766 images/s [10/17 15:23:35] ppdet.engine INFO: Epoch: [81] [200/229] learning_rate: 0.330885 loss_vfl: 0.861059 loss_bbox: 0.312187 loss_dfl: 0.195759 loss: 1.385835 eta: 1 day, 6:36:19 batch_cost: 2.1019 data_cost: 0.0043 ips: 30.4492 images/s [10/17 15:24:13] ppdet.engine INFO: Epoch: [81] [220/229] learning_rate: 0.330746 loss_vfl: 0.852426 loss_bbox: 0.340666 loss_dfl: 0.205413 loss: 1.403126 eta: 1 day, 6:35:10 batch_cost: 1.7436 data_cost: 0.0034 ips: 36.7063 images/s [10/17 15:24:57] ppdet.engine INFO: Epoch: [82] [ 0/229] learning_rate: 0.330684 loss_vfl: 0.846982 loss_bbox: 0.331710 loss_dfl: 0.205476 loss: 1.404522 eta: 1 day, 6:35:41 batch_cost: 2.7304 data_cost: 0.9460 ips: 23.4402 images/s [10/17 15:25:45] ppdet.engine INFO: Epoch: [82] [ 20/229] learning_rate: 0.330546 loss_vfl: 0.857106 loss_bbox: 0.325617 loss_dfl: 0.205721 loss: 1.376192 eta: 1 day, 6:34:51 batch_cost: 2.1114 data_cost: 0.0058 ips: 30.3119 images/s [10/17 15:26:32] ppdet.engine INFO: Epoch: [82] [ 40/229] learning_rate: 0.330407 loss_vfl: 0.857621 loss_bbox: 0.326000 loss_dfl: 0.202584 loss: 1.387433 eta: 1 day, 6:34:05 batch_cost: 2.1662 data_cost: 0.0069 ips: 29.5451 images/s [10/17 15:27:18] ppdet.engine INFO: Epoch: [82] [ 60/229] learning_rate: 0.330268 loss_vfl: 0.861449 loss_bbox: 0.338876 loss_dfl: 0.208126 loss: 1.406182 eta: 1 day, 6:33:19 batch_cost: 2.1599 data_cost: 0.0052 ips: 29.6313 images/s [10/17 15:28:05] ppdet.engine INFO: Epoch: [82] [ 80/229] learning_rate: 0.330129 loss_vfl: 0.855524 loss_bbox: 0.308782 loss_dfl: 0.194556 loss: 1.366265 eta: 1 day, 6:32:32 batch_cost: 2.1597 data_cost: 0.0043 ips: 29.6331 images/s [10/17 15:28:52] ppdet.engine INFO: Epoch: [82] [100/229] learning_rate: 0.329990 loss_vfl: 0.867657 loss_bbox: 0.325613 loss_dfl: 0.205939 loss: 1.396420 eta: 1 day, 6:31:49 batch_cost: 2.2300 data_cost: 0.0044 ips: 28.6993 images/s [10/17 15:29:39] ppdet.engine INFO: Epoch: [82] [120/229] learning_rate: 0.329851 loss_vfl: 0.858010 loss_bbox: 0.307709 loss_dfl: 0.199747 loss: 1.380335 eta: 1 day, 6:31:03 batch_cost: 2.1588 data_cost: 0.0043 ips: 29.6463 images/s [10/17 15:30:26] ppdet.engine INFO: Epoch: [82] [140/229] learning_rate: 0.329712 loss_vfl: 0.879089 loss_bbox: 0.313516 loss_dfl: 0.197130 loss: 1.394905 eta: 1 day, 6:30:17 batch_cost: 2.1705 data_cost: 0.0027 ips: 29.4866 images/s [10/17 15:31:14] ppdet.engine INFO: Epoch: [82] [160/229] learning_rate: 0.329573 loss_vfl: 0.858009 loss_bbox: 0.331503 loss_dfl: 0.202240 loss: 1.380025 eta: 1 day, 6:29:33 batch_cost: 2.2124 data_cost: 0.0040 ips: 28.9276 images/s [10/17 15:32:01] ppdet.engine INFO: Epoch: [82] [180/229] learning_rate: 0.329434 loss_vfl: 0.860609 loss_bbox: 0.332568 loss_dfl: 0.200736 loss: 1.385746 eta: 1 day, 6:28:47 batch_cost: 2.1742 data_cost: 0.0043 ips: 29.4362 images/s [10/17 15:32:47] ppdet.engine INFO: Epoch: [82] [200/229] learning_rate: 0.329294 loss_vfl: 0.858638 loss_bbox: 0.316095 loss_dfl: 0.194058 loss: 1.385708 eta: 1 day, 6:27:58 batch_cost: 2.1086 data_cost: 0.0036 ips: 30.3521 images/s [10/17 15:33:25] ppdet.engine INFO: Epoch: [82] [220/229] learning_rate: 0.329154 loss_vfl: 0.877526 loss_bbox: 0.314630 loss_dfl: 0.199787 loss: 1.404765 eta: 1 day, 6:26:47 batch_cost: 1.6986 data_cost: 0.0024 ips: 37.6772 images/s [10/17 15:34:09] ppdet.engine INFO: Epoch: [83] [ 0/229] learning_rate: 0.329092 loss_vfl: 0.877123 loss_bbox: 0.313070 loss_dfl: 0.198226 loss: 1.387046 eta: 1 day, 6:27:18 batch_cost: 2.7502 data_cost: 0.9793 ips: 23.2709 images/s [10/17 15:34:57] ppdet.engine INFO: Epoch: [83] [ 20/229] learning_rate: 0.328952 loss_vfl: 0.853585 loss_bbox: 0.308239 loss_dfl: 0.194807 loss: 1.353240 eta: 1 day, 6:26:34 batch_cost: 2.1962 data_cost: 0.0043 ips: 29.1418 images/s [10/17 15:35:45] ppdet.engine INFO: Epoch: [83] [ 40/229] learning_rate: 0.328812 loss_vfl: 0.851839 loss_bbox: 0.301962 loss_dfl: 0.194445 loss: 1.349961 eta: 1 day, 6:25:53 batch_cost: 2.2758 data_cost: 0.0031 ips: 28.1225 images/s [10/17 15:36:32] ppdet.engine INFO: Epoch: [83] [ 60/229] learning_rate: 0.328672 loss_vfl: 0.872143 loss_bbox: 0.311096 loss_dfl: 0.199254 loss: 1.387923 eta: 1 day, 6:25:09 batch_cost: 2.2087 data_cost: 0.0064 ips: 28.9762 images/s [10/17 15:37:20] ppdet.engine INFO: Epoch: [83] [ 80/229] learning_rate: 0.328532 loss_vfl: 0.868982 loss_bbox: 0.295832 loss_dfl: 0.185094 loss: 1.390165 eta: 1 day, 6:24:25 batch_cost: 2.2108 data_cost: 0.0040 ips: 28.9493 images/s [10/17 15:38:07] ppdet.engine INFO: Epoch: [83] [100/229] learning_rate: 0.328392 loss_vfl: 0.867221 loss_bbox: 0.334170 loss_dfl: 0.203687 loss: 1.399909 eta: 1 day, 6:23:39 batch_cost: 2.1722 data_cost: 0.0033 ips: 29.4625 images/s [10/17 15:38:54] ppdet.engine INFO: Epoch: [83] [120/229] learning_rate: 0.328251 loss_vfl: 0.846166 loss_bbox: 0.323812 loss_dfl: 0.200369 loss: 1.359009 eta: 1 day, 6:22:54 batch_cost: 2.1909 data_cost: 0.0035 ips: 29.2117 images/s [10/17 15:39:42] ppdet.engine INFO: Epoch: [83] [140/229] learning_rate: 0.328111 loss_vfl: 0.868451 loss_bbox: 0.318352 loss_dfl: 0.200473 loss: 1.377115 eta: 1 day, 6:22:11 batch_cost: 2.2127 data_cost: 0.0038 ips: 28.9244 images/s [10/17 15:40:29] ppdet.engine INFO: Epoch: [83] [160/229] learning_rate: 0.327970 loss_vfl: 0.891791 loss_bbox: 0.302278 loss_dfl: 0.190879 loss: 1.388050 eta: 1 day, 6:21:25 batch_cost: 2.1675 data_cost: 0.0062 ips: 29.5268 images/s [10/17 15:41:16] ppdet.engine INFO: Epoch: [83] [180/229] learning_rate: 0.327830 loss_vfl: 0.866292 loss_bbox: 0.306778 loss_dfl: 0.199432 loss: 1.380856 eta: 1 day, 6:20:39 batch_cost: 2.1750 data_cost: 0.0048 ips: 29.4257 images/s [10/17 15:42:03] ppdet.engine INFO: Epoch: [83] [200/229] learning_rate: 0.327689 loss_vfl: 0.877708 loss_bbox: 0.313015 loss_dfl: 0.192363 loss: 1.362691 eta: 1 day, 6:19:52 batch_cost: 2.1602 data_cost: 0.0062 ips: 29.6271 images/s [10/17 15:42:41] ppdet.engine INFO: Epoch: [83] [220/229] learning_rate: 0.327548 loss_vfl: 0.870412 loss_bbox: 0.332474 loss_dfl: 0.202344 loss: 1.412489 eta: 1 day, 6:18:44 batch_cost: 1.7415 data_cost: 0.0016 ips: 36.7496 images/s [10/17 15:43:24] ppdet.engine INFO: Epoch: [84] [ 0/229] learning_rate: 0.327485 loss_vfl: 0.873303 loss_bbox: 0.331242 loss_dfl: 0.201400 loss: 1.406618 eta: 1 day, 6:19:11 batch_cost: 2.6762 data_cost: 1.1139 ips: 23.9142 images/s [10/17 15:44:12] ppdet.engine INFO: Epoch: [84] [ 20/229] learning_rate: 0.327344 loss_vfl: 0.877678 loss_bbox: 0.308557 loss_dfl: 0.196862 loss: 1.393333 eta: 1 day, 6:18:29 batch_cost: 2.2618 data_cost: 0.0056 ips: 28.2965 images/s [10/17 15:44:59] ppdet.engine INFO: Epoch: [84] [ 40/229] learning_rate: 0.327203 loss_vfl: 0.846162 loss_bbox: 0.316257 loss_dfl: 0.200525 loss: 1.366054 eta: 1 day, 6:17:45 batch_cost: 2.2101 data_cost: 0.0040 ips: 28.9583 images/s [10/17 15:45:46] ppdet.engine INFO: Epoch: [84] [ 60/229] learning_rate: 0.327061 loss_vfl: 0.846049 loss_bbox: 0.324956 loss_dfl: 0.196084 loss: 1.364580 eta: 1 day, 6:17:00 batch_cost: 2.1883 data_cost: 0.0037 ips: 29.2462 images/s [10/17 15:46:33] ppdet.engine INFO: Epoch: [84] [ 80/229] learning_rate: 0.326920 loss_vfl: 0.856032 loss_bbox: 0.321040 loss_dfl: 0.207922 loss: 1.382414 eta: 1 day, 6:16:13 batch_cost: 2.1512 data_cost: 0.0038 ips: 29.7512 images/s [10/17 15:47:20] ppdet.engine INFO: Epoch: [84] [100/229] learning_rate: 0.326779 loss_vfl: 0.848835 loss_bbox: 0.340132 loss_dfl: 0.207691 loss: 1.395016 eta: 1 day, 6:15:29 batch_cost: 2.1982 data_cost: 0.0022 ips: 29.1146 images/s [10/17 15:48:06] ppdet.engine INFO: Epoch: [84] [120/229] learning_rate: 0.326637 loss_vfl: 0.841513 loss_bbox: 0.332372 loss_dfl: 0.206927 loss: 1.387129 eta: 1 day, 6:14:42 batch_cost: 2.1561 data_cost: 0.0054 ips: 29.6830 images/s [10/17 15:48:52] ppdet.engine INFO: Epoch: [84] [140/229] learning_rate: 0.326496 loss_vfl: 0.856373 loss_bbox: 0.328182 loss_dfl: 0.202891 loss: 1.393343 eta: 1 day, 6:13:54 batch_cost: 2.1230 data_cost: 0.0031 ips: 30.1458 images/s [10/17 15:49:40] ppdet.engine INFO: Epoch: [84] [160/229] learning_rate: 0.326354 loss_vfl: 0.867101 loss_bbox: 0.320723 loss_dfl: 0.202999 loss: 1.395660 eta: 1 day, 6:13:09 batch_cost: 2.1981 data_cost: 0.0045 ips: 29.1155 images/s [10/17 15:50:27] ppdet.engine INFO: Epoch: [84] [180/229] learning_rate: 0.326212 loss_vfl: 0.866123 loss_bbox: 0.329856 loss_dfl: 0.202048 loss: 1.396857 eta: 1 day, 6:12:23 batch_cost: 2.1712 data_cost: 0.0030 ips: 29.4769 images/s [10/17 15:51:14] ppdet.engine INFO: Epoch: [84] [200/229] learning_rate: 0.326070 loss_vfl: 0.855579 loss_bbox: 0.321236 loss_dfl: 0.195847 loss: 1.386387 eta: 1 day, 6:11:37 batch_cost: 2.1650 data_cost: 0.0042 ips: 29.5615 images/s [10/17 15:51:51] ppdet.engine INFO: Epoch: [84] [220/229] learning_rate: 0.325928 loss_vfl: 0.865020 loss_bbox: 0.319464 loss_dfl: 0.201531 loss: 1.394952 eta: 1 day, 6:10:27 batch_cost: 1.7024 data_cost: 0.0027 ips: 37.5939 images/s [10/17 15:52:35] ppdet.engine INFO: Epoch: [85] [ 0/229] learning_rate: 0.325864 loss_vfl: 0.862905 loss_bbox: 0.325215 loss_dfl: 0.204906 loss: 1.402616 eta: 1 day, 6:10:54 batch_cost: 2.6775 data_cost: 1.0241 ips: 23.9029 images/s [10/17 15:53:21] ppdet.engine INFO: Epoch: [85] [ 20/229] learning_rate: 0.325722 loss_vfl: 0.859378 loss_bbox: 0.319081 loss_dfl: 0.205323 loss: 1.371250 eta: 1 day, 6:10:04 batch_cost: 2.0872 data_cost: 0.0024 ips: 30.6628 images/s [10/17 15:54:08] ppdet.engine INFO: Epoch: [85] [ 40/229] learning_rate: 0.325580 loss_vfl: 0.868169 loss_bbox: 0.324253 loss_dfl: 0.199278 loss: 1.395335 eta: 1 day, 6:09:17 batch_cost: 2.1450 data_cost: 0.0070 ips: 29.8371 images/s [10/17 15:54:55] ppdet.engine INFO: Epoch: [85] [ 60/229] learning_rate: 0.325437 loss_vfl: 0.858470 loss_bbox: 0.334505 loss_dfl: 0.206217 loss: 1.371576 eta: 1 day, 6:08:32 batch_cost: 2.1957 data_cost: 0.0057 ips: 29.1479 images/s [10/17 15:55:42] ppdet.engine INFO: Epoch: [85] [ 80/229] learning_rate: 0.325295 loss_vfl: 0.857698 loss_bbox: 0.347593 loss_dfl: 0.198523 loss: 1.397814 eta: 1 day, 6:07:43 batch_cost: 2.1063 data_cost: 0.0114 ips: 30.3847 images/s [10/17 15:56:29] ppdet.engine INFO: Epoch: [85] [100/229] learning_rate: 0.325152 loss_vfl: 0.857818 loss_bbox: 0.321833 loss_dfl: 0.201782 loss: 1.396304 eta: 1 day, 6:06:56 batch_cost: 2.1531 data_cost: 0.0064 ips: 29.7249 images/s [10/17 15:57:17] ppdet.engine INFO: Epoch: [85] [120/229] learning_rate: 0.325009 loss_vfl: 0.852435 loss_bbox: 0.331235 loss_dfl: 0.203654 loss: 1.406502 eta: 1 day, 6:06:08 batch_cost: 2.1302 data_cost: 0.0045 ips: 30.0435 images/s [10/17 15:58:03] ppdet.engine INFO: Epoch: [85] [140/229] learning_rate: 0.324866 loss_vfl: 0.849377 loss_bbox: 0.328556 loss_dfl: 0.199923 loss: 1.371267 eta: 1 day, 6:05:20 batch_cost: 2.1328 data_cost: 0.0048 ips: 30.0079 images/s [10/17 15:58:51] ppdet.engine INFO: Epoch: [85] [160/229] learning_rate: 0.324723 loss_vfl: 0.855440 loss_bbox: 0.326359 loss_dfl: 0.207057 loss: 1.384028 eta: 1 day, 6:04:38 batch_cost: 2.2314 data_cost: 0.0031 ips: 28.6814 images/s [10/17 15:59:38] ppdet.engine INFO: Epoch: [85] [180/229] learning_rate: 0.324580 loss_vfl: 0.853656 loss_bbox: 0.310534 loss_dfl: 0.197007 loss: 1.359982 eta: 1 day, 6:03:52 batch_cost: 2.1886 data_cost: 0.0035 ips: 29.2422 images/s [10/17 16:00:25] ppdet.engine INFO: Epoch: [85] [200/229] learning_rate: 0.324437 loss_vfl: 0.856441 loss_bbox: 0.318467 loss_dfl: 0.200944 loss: 1.386547 eta: 1 day, 6:03:05 batch_cost: 2.1382 data_cost: 0.0037 ips: 29.9314 images/s [10/17 16:01:02] ppdet.engine INFO: Epoch: [85] [220/229] learning_rate: 0.324294 loss_vfl: 0.863130 loss_bbox: 0.322789 loss_dfl: 0.200091 loss: 1.378939 eta: 1 day, 6:01:58 batch_cost: 1.7407 data_cost: 0.0028 ips: 36.7659 images/s [10/17 16:01:44] ppdet.engine INFO: Epoch: [86] [ 0/229] learning_rate: 0.324230 loss_vfl: 0.866615 loss_bbox: 0.323847 loss_dfl: 0.202401 loss: 1.395005 eta: 1 day, 6:02:23 batch_cost: 2.7004 data_cost: 0.7344 ips: 23.7001 images/s [10/17 16:02:34] ppdet.engine INFO: Epoch: [86] [ 20/229] learning_rate: 0.324086 loss_vfl: 0.855578 loss_bbox: 0.325591 loss_dfl: 0.204016 loss: 1.357423 eta: 1 day, 6:01:43 batch_cost: 2.2891 data_cost: 0.0046 ips: 27.9591 images/s [10/17 16:03:21] ppdet.engine INFO: Epoch: [86] [ 40/229] learning_rate: 0.323943 loss_vfl: 0.863441 loss_bbox: 0.333789 loss_dfl: 0.202353 loss: 1.385296 eta: 1 day, 6:00:58 batch_cost: 2.1836 data_cost: 0.0020 ips: 29.3099 images/s [10/17 16:04:09] ppdet.engine INFO: Epoch: [86] [ 60/229] learning_rate: 0.323799 loss_vfl: 0.863191 loss_bbox: 0.311122 loss_dfl: 0.199837 loss: 1.374741 eta: 1 day, 6:00:12 batch_cost: 2.1727 data_cost: 0.0048 ips: 29.4566 images/s [10/17 16:04:56] ppdet.engine INFO: Epoch: [86] [ 80/229] learning_rate: 0.323655 loss_vfl: 0.867455 loss_bbox: 0.305962 loss_dfl: 0.201441 loss: 1.376664 eta: 1 day, 5:59:27 batch_cost: 2.1873 data_cost: 0.0055 ips: 29.2597 images/s [10/17 16:05:43] ppdet.engine INFO: Epoch: [86] [100/229] learning_rate: 0.323512 loss_vfl: 0.842708 loss_bbox: 0.328623 loss_dfl: 0.205286 loss: 1.374738 eta: 1 day, 5:58:40 batch_cost: 2.1614 data_cost: 0.0028 ips: 29.6102 images/s [10/17 16:06:30] ppdet.engine INFO: Epoch: [86] [120/229] learning_rate: 0.323368 loss_vfl: 0.850342 loss_bbox: 0.309847 loss_dfl: 0.192490 loss: 1.373294 eta: 1 day, 5:57:55 batch_cost: 2.1868 data_cost: 0.0028 ips: 29.2665 images/s [10/17 16:07:18] ppdet.engine INFO: Epoch: [86] [140/229] learning_rate: 0.323224 loss_vfl: 0.835985 loss_bbox: 0.345496 loss_dfl: 0.208744 loss: 1.387270 eta: 1 day, 5:57:13 batch_cost: 2.2465 data_cost: 0.0036 ips: 28.4889 images/s [10/17 16:08:06] ppdet.engine INFO: Epoch: [86] [160/229] learning_rate: 0.323079 loss_vfl: 0.858719 loss_bbox: 0.323098 loss_dfl: 0.196796 loss: 1.365460 eta: 1 day, 5:56:28 batch_cost: 2.1871 data_cost: 0.0066 ips: 29.2627 images/s [10/17 16:08:53] ppdet.engine INFO: Epoch: [86] [180/229] learning_rate: 0.322935 loss_vfl: 0.867072 loss_bbox: 0.326167 loss_dfl: 0.201071 loss: 1.382622 eta: 1 day, 5:55:39 batch_cost: 2.1192 data_cost: 0.0047 ips: 30.2001 images/s [10/17 16:09:39] ppdet.engine INFO: Epoch: [86] [200/229] learning_rate: 0.322791 loss_vfl: 0.853994 loss_bbox: 0.325117 loss_dfl: 0.200564 loss: 1.395570 eta: 1 day, 5:54:52 batch_cost: 2.1437 data_cost: 0.0055 ips: 29.8549 images/s [10/17 16:10:18] ppdet.engine INFO: Epoch: [86] [220/229] learning_rate: 0.322646 loss_vfl: 0.854073 loss_bbox: 0.335850 loss_dfl: 0.207126 loss: 1.377711 eta: 1 day, 5:53:49 batch_cost: 1.8140 data_cost: 0.0023 ips: 35.2803 images/s [10/17 16:11:00] ppdet.engine INFO: Epoch: [87] [ 0/229] learning_rate: 0.322581 loss_vfl: 0.858452 loss_bbox: 0.314285 loss_dfl: 0.198972 loss: 1.370894 eta: 1 day, 5:54:09 batch_cost: 2.6366 data_cost: 0.9155 ips: 24.2739 images/s [10/17 16:11:49] ppdet.engine INFO: Epoch: [87] [ 20/229] learning_rate: 0.322437 loss_vfl: 0.844804 loss_bbox: 0.319364 loss_dfl: 0.206841 loss: 1.384426 eta: 1 day, 5:53:27 batch_cost: 2.2563 data_cost: 0.0026 ips: 28.3648 images/s [10/17 16:12:35] ppdet.engine INFO: Epoch: [87] [ 40/229] learning_rate: 0.322292 loss_vfl: 0.856841 loss_bbox: 0.330112 loss_dfl: 0.209955 loss: 1.387153 eta: 1 day, 5:52:41 batch_cost: 2.1613 data_cost: 0.0047 ips: 29.6111 images/s [10/17 16:13:22] ppdet.engine INFO: Epoch: [87] [ 60/229] learning_rate: 0.322147 loss_vfl: 0.842601 loss_bbox: 0.341960 loss_dfl: 0.209205 loss: 1.390695 eta: 1 day, 5:51:55 batch_cost: 2.1593 data_cost: 0.0029 ips: 29.6393 images/s [10/17 16:14:10] ppdet.engine INFO: Epoch: [87] [ 80/229] learning_rate: 0.322002 loss_vfl: 0.880281 loss_bbox: 0.314554 loss_dfl: 0.206153 loss: 1.407862 eta: 1 day, 5:51:08 batch_cost: 2.1582 data_cost: 0.0042 ips: 29.6543 images/s [10/17 16:14:56] ppdet.engine INFO: Epoch: [87] [100/229] learning_rate: 0.321857 loss_vfl: 0.875593 loss_bbox: 0.323045 loss_dfl: 0.198430 loss: 1.363558 eta: 1 day, 5:50:22 batch_cost: 2.1646 data_cost: 0.0041 ips: 29.5665 images/s [10/17 16:15:44] ppdet.engine INFO: Epoch: [87] [120/229] learning_rate: 0.321712 loss_vfl: 0.879170 loss_bbox: 0.328411 loss_dfl: 0.199325 loss: 1.392750 eta: 1 day, 5:49:37 batch_cost: 2.1957 data_cost: 0.0025 ips: 29.1479 images/s [10/17 16:16:31] ppdet.engine INFO: Epoch: [87] [140/229] learning_rate: 0.321567 loss_vfl: 0.849464 loss_bbox: 0.309237 loss_dfl: 0.198093 loss: 1.373207 eta: 1 day, 5:48:52 batch_cost: 2.1892 data_cost: 0.0050 ips: 29.2341 images/s [10/17 16:17:17] ppdet.engine INFO: Epoch: [87] [160/229] learning_rate: 0.321422 loss_vfl: 0.855654 loss_bbox: 0.321924 loss_dfl: 0.198524 loss: 1.379052 eta: 1 day, 5:48:03 batch_cost: 2.1056 data_cost: 0.0049 ips: 30.3958 images/s [10/17 16:18:03] ppdet.engine INFO: Epoch: [87] [180/229] learning_rate: 0.321276 loss_vfl: 0.845252 loss_bbox: 0.336232 loss_dfl: 0.195180 loss: 1.378258 eta: 1 day, 5:47:18 batch_cost: 2.1806 data_cost: 0.0057 ips: 29.3491 images/s [10/17 16:18:50] ppdet.engine INFO: Epoch: [87] [200/229] learning_rate: 0.321131 loss_vfl: 0.843904 loss_bbox: 0.305751 loss_dfl: 0.194223 loss: 1.371563 eta: 1 day, 5:46:33 batch_cost: 2.1978 data_cost: 0.0038 ips: 29.1198 images/s [10/17 16:19:29] ppdet.engine INFO: Epoch: [87] [220/229] learning_rate: 0.320985 loss_vfl: 0.871997 loss_bbox: 0.315408 loss_dfl: 0.199852 loss: 1.414546 eta: 1 day, 5:45:28 batch_cost: 1.7612 data_cost: 0.0029 ips: 36.3386 images/s [10/17 16:20:10] ppdet.engine INFO: Epoch: [88] [ 0/229] learning_rate: 0.320920 loss_vfl: 0.876495 loss_bbox: 0.339723 loss_dfl: 0.205907 loss: 1.425149 eta: 1 day, 5:45:47 batch_cost: 2.6251 data_cost: 1.1068 ips: 24.3798 images/s [10/17 16:20:59] ppdet.engine INFO: Epoch: [88] [ 20/229] learning_rate: 0.320774 loss_vfl: 0.847595 loss_bbox: 0.304921 loss_dfl: 0.190869 loss: 1.363433 eta: 1 day, 5:45:04 batch_cost: 2.2317 data_cost: 0.0044 ips: 28.6782 images/s [10/17 16:21:46] ppdet.engine INFO: Epoch: [88] [ 40/229] learning_rate: 0.320628 loss_vfl: 0.859954 loss_bbox: 0.321908 loss_dfl: 0.199876 loss: 1.381685 eta: 1 day, 5:44:20 batch_cost: 2.2117 data_cost: 0.0031 ips: 28.9375 images/s [10/17 16:22:34] ppdet.engine INFO: Epoch: [88] [ 60/229] learning_rate: 0.320482 loss_vfl: 0.859704 loss_bbox: 0.322157 loss_dfl: 0.200685 loss: 1.362990 eta: 1 day, 5:43:36 batch_cost: 2.2035 data_cost: 0.0039 ips: 29.0447 images/s [10/17 16:23:21] ppdet.engine INFO: Epoch: [88] [ 80/229] learning_rate: 0.320336 loss_vfl: 0.839302 loss_bbox: 0.308963 loss_dfl: 0.189988 loss: 1.343063 eta: 1 day, 5:42:51 batch_cost: 2.1815 data_cost: 0.0075 ips: 29.3371 images/s [10/17 16:24:08] ppdet.engine INFO: Epoch: [88] [100/229] learning_rate: 0.320190 loss_vfl: 0.848614 loss_bbox: 0.312719 loss_dfl: 0.191525 loss: 1.362693 eta: 1 day, 5:42:06 batch_cost: 2.1959 data_cost: 0.0052 ips: 29.1446 images/s [10/17 16:24:55] ppdet.engine INFO: Epoch: [88] [120/229] learning_rate: 0.320044 loss_vfl: 0.876233 loss_bbox: 0.335253 loss_dfl: 0.201558 loss: 1.403781 eta: 1 day, 5:41:19 batch_cost: 2.1543 data_cost: 0.0024 ips: 29.7075 images/s [10/17 16:25:42] ppdet.engine INFO: Epoch: [88] [140/229] learning_rate: 0.319897 loss_vfl: 0.854464 loss_bbox: 0.316968 loss_dfl: 0.201441 loss: 1.390974 eta: 1 day, 5:40:34 batch_cost: 2.1869 data_cost: 0.0017 ips: 29.2651 images/s [10/17 16:26:30] ppdet.engine INFO: Epoch: [88] [160/229] learning_rate: 0.319751 loss_vfl: 0.852937 loss_bbox: 0.300768 loss_dfl: 0.186491 loss: 1.355184 eta: 1 day, 5:39:50 batch_cost: 2.2152 data_cost: 0.0038 ips: 28.8916 images/s [10/17 16:27:16] ppdet.engine INFO: Epoch: [88] [180/229] learning_rate: 0.319604 loss_vfl: 0.871475 loss_bbox: 0.303189 loss_dfl: 0.189455 loss: 1.360694 eta: 1 day, 5:39:01 batch_cost: 2.0991 data_cost: 0.0033 ips: 30.4888 images/s [10/17 16:28:02] ppdet.engine INFO: Epoch: [88] [200/229] learning_rate: 0.319458 loss_vfl: 0.863018 loss_bbox: 0.305972 loss_dfl: 0.191123 loss: 1.361831 eta: 1 day, 5:38:15 batch_cost: 2.1609 data_cost: 0.0034 ips: 29.6169 images/s [10/17 16:28:40] ppdet.engine INFO: Epoch: [88] [220/229] learning_rate: 0.319311 loss_vfl: 0.873424 loss_bbox: 0.324704 loss_dfl: 0.201146 loss: 1.385588 eta: 1 day, 5:37:08 batch_cost: 1.7338 data_cost: 0.0014 ips: 36.9125 images/s [10/17 16:29:24] ppdet.engine INFO: Epoch: [89] [ 0/229] learning_rate: 0.319245 loss_vfl: 0.864810 loss_bbox: 0.316209 loss_dfl: 0.198165 loss: 1.371825 eta: 1 day, 5:37:34 batch_cost: 2.7289 data_cost: 0.9153 ips: 23.4528 images/s [10/17 16:30:10] ppdet.engine INFO: Epoch: [89] [ 20/229] learning_rate: 0.319098 loss_vfl: 0.832586 loss_bbox: 0.319920 loss_dfl: 0.200993 loss: 1.363886 eta: 1 day, 5:36:46 batch_cost: 2.1395 data_cost: 0.0043 ips: 29.9130 images/s [10/17 16:30:58] ppdet.engine INFO: Epoch: [89] [ 40/229] learning_rate: 0.318951 loss_vfl: 0.862196 loss_bbox: 0.306822 loss_dfl: 0.198400 loss: 1.359378 eta: 1 day, 5:36:03 batch_cost: 2.2227 data_cost: 0.0049 ips: 28.7936 images/s [10/17 16:31:46] ppdet.engine INFO: Epoch: [89] [ 60/229] learning_rate: 0.318804 loss_vfl: 0.849730 loss_bbox: 0.323373 loss_dfl: 0.197358 loss: 1.366271 eta: 1 day, 5:35:20 batch_cost: 2.2273 data_cost: 0.0023 ips: 28.7340 images/s [10/17 16:32:33] ppdet.engine INFO: Epoch: [89] [ 80/229] learning_rate: 0.318657 loss_vfl: 0.858659 loss_bbox: 0.315509 loss_dfl: 0.191436 loss: 1.360545 eta: 1 day, 5:34:35 batch_cost: 2.1880 data_cost: 0.0043 ips: 29.2500 images/s [10/17 16:33:21] ppdet.engine INFO: Epoch: [89] [100/229] learning_rate: 0.318509 loss_vfl: 0.857025 loss_bbox: 0.320142 loss_dfl: 0.203043 loss: 1.384699 eta: 1 day, 5:33:50 batch_cost: 2.2056 data_cost: 0.0036 ips: 29.0168 images/s [10/17 16:34:08] ppdet.engine INFO: Epoch: [89] [120/229] learning_rate: 0.318362 loss_vfl: 0.857035 loss_bbox: 0.325971 loss_dfl: 0.204819 loss: 1.405815 eta: 1 day, 5:33:02 batch_cost: 2.1185 data_cost: 0.0031 ips: 30.2096 images/s [10/17 16:34:55] ppdet.engine INFO: Epoch: [89] [140/229] learning_rate: 0.318215 loss_vfl: 0.871692 loss_bbox: 0.287574 loss_dfl: 0.188425 loss: 1.353763 eta: 1 day, 5:32:16 batch_cost: 2.1709 data_cost: 0.0035 ips: 29.4813 images/s [10/17 16:35:42] ppdet.engine INFO: Epoch: [89] [160/229] learning_rate: 0.318067 loss_vfl: 0.868790 loss_bbox: 0.310748 loss_dfl: 0.193177 loss: 1.388694 eta: 1 day, 5:31:33 batch_cost: 2.2264 data_cost: 0.0048 ips: 28.7456 images/s [10/17 16:36:29] ppdet.engine INFO: Epoch: [89] [180/229] learning_rate: 0.317919 loss_vfl: 0.841248 loss_bbox: 0.318400 loss_dfl: 0.201158 loss: 1.365230 eta: 1 day, 5:30:44 batch_cost: 2.1050 data_cost: 0.0044 ips: 30.4041 images/s [10/17 16:37:15] ppdet.engine INFO: Epoch: [89] [200/229] learning_rate: 0.317772 loss_vfl: 0.862225 loss_bbox: 0.316220 loss_dfl: 0.199716 loss: 1.372744 eta: 1 day, 5:29:54 batch_cost: 2.0873 data_cost: 0.0058 ips: 30.6619 images/s [10/17 16:37:54] ppdet.engine INFO: Epoch: [89] [220/229] learning_rate: 0.317624 loss_vfl: 0.856398 loss_bbox: 0.305310 loss_dfl: 0.193693 loss: 1.364892 eta: 1 day, 5:28:50 batch_cost: 1.7771 data_cost: 0.0025 ips: 36.0140 images/s [10/17 16:38:07] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 16:38:08] ppdet.engine INFO: Eval iter: 0 [10/17 16:38:51] ppdet.engine INFO: Eval iter: 100 [10/17 16:39:06] ppdet.engine INFO: Eval iter: 200 [10/17 16:39:21] ppdet.engine INFO: Eval iter: 300 [10/17 16:39:36] ppdet.engine INFO: Eval iter: 400 [10/17 16:39:51] ppdet.engine INFO: Eval iter: 500 [10/17 16:40:06] ppdet.engine INFO: Eval iter: 600 [10/17 16:40:18] 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 16:40:19] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.87s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.76s). Accumulating evaluation results... DONE (t=11.70s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.288 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.433 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.302 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.296 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 ] = 0.264 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 ] = 0.438 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.151 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/17 16:41:41] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.46278632707155 [10/17 16:41:41] ppdet.engine INFO: Best test bbox ap is 0.288. [10/17 16:41:41] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 16:41:42] ppdet.engine INFO: Epoch: [90] [ 0/229] learning_rate: 0.317557 loss_vfl: 0.855565 loss_bbox: 0.298807 loss_dfl: 0.190899 loss: 1.338438 eta: 1 day, 5:28:08 batch_cost: 1.3248 data_cost: 0.0014 ips: 48.3090 images/s [10/17 16:42:29] ppdet.engine INFO: Epoch: [90] [ 20/229] learning_rate: 0.317409 loss_vfl: 0.852260 loss_bbox: 0.314347 loss_dfl: 0.203833 loss: 1.401881 eta: 1 day, 5:27:22 batch_cost: 2.1657 data_cost: 0.0026 ips: 29.5510 images/s [10/17 16:43:16] ppdet.engine INFO: Epoch: [90] [ 40/229] learning_rate: 0.317261 loss_vfl: 0.877562 loss_bbox: 0.316207 loss_dfl: 0.203756 loss: 1.402140 eta: 1 day, 5:26:35 batch_cost: 2.1606 data_cost: 0.0044 ips: 29.6209 images/s [10/17 16:44:02] ppdet.engine INFO: Epoch: [90] [ 60/229] learning_rate: 0.317113 loss_vfl: 0.868677 loss_bbox: 0.321992 loss_dfl: 0.199482 loss: 1.403126 eta: 1 day, 5:25:47 batch_cost: 2.1184 data_cost: 0.0031 ips: 30.2108 images/s [10/17 16:44:48] ppdet.engine INFO: Epoch: [90] [ 80/229] learning_rate: 0.316964 loss_vfl: 0.871561 loss_bbox: 0.306174 loss_dfl: 0.194293 loss: 1.348700 eta: 1 day, 5:25:00 batch_cost: 2.1427 data_cost: 0.0032 ips: 29.8687 images/s [10/17 16:45:36] ppdet.engine INFO: Epoch: [90] [100/229] learning_rate: 0.316816 loss_vfl: 0.873406 loss_bbox: 0.308114 loss_dfl: 0.199829 loss: 1.390154 eta: 1 day, 5:24:16 batch_cost: 2.2080 data_cost: 0.0020 ips: 28.9861 images/s [10/17 16:46:22] ppdet.engine INFO: Epoch: [90] [120/229] learning_rate: 0.316667 loss_vfl: 0.876940 loss_bbox: 0.323340 loss_dfl: 0.200291 loss: 1.406574 eta: 1 day, 5:23:29 batch_cost: 2.1395 data_cost: 0.0058 ips: 29.9138 images/s [10/17 16:47:08] ppdet.engine INFO: Epoch: [90] [140/229] learning_rate: 0.316519 loss_vfl: 0.864080 loss_bbox: 0.310938 loss_dfl: 0.195010 loss: 1.379501 eta: 1 day, 5:22:39 batch_cost: 2.0836 data_cost: 0.0038 ips: 30.7164 images/s [10/17 16:47:56] ppdet.engine INFO: Epoch: [90] [160/229] learning_rate: 0.316370 loss_vfl: 0.861370 loss_bbox: 0.327124 loss_dfl: 0.201887 loss: 1.395973 eta: 1 day, 5:21:54 batch_cost: 2.1909 data_cost: 0.0030 ips: 29.2119 images/s [10/17 16:48:42] ppdet.engine INFO: Epoch: [90] [180/229] learning_rate: 0.316221 loss_vfl: 0.839977 loss_bbox: 0.356310 loss_dfl: 0.211314 loss: 1.399784 eta: 1 day, 5:21:04 batch_cost: 2.0777 data_cost: 0.0051 ips: 30.8033 images/s [10/17 16:49:29] ppdet.engine INFO: Epoch: [90] [200/229] learning_rate: 0.316072 loss_vfl: 0.858304 loss_bbox: 0.311872 loss_dfl: 0.198980 loss: 1.362352 eta: 1 day, 5:20:16 batch_cost: 2.1084 data_cost: 0.0029 ips: 30.3542 images/s [10/17 16:50:06] ppdet.engine INFO: Epoch: [90] [220/229] learning_rate: 0.315923 loss_vfl: 0.854384 loss_bbox: 0.319220 loss_dfl: 0.201064 loss: 1.360713 eta: 1 day, 5:19:10 batch_cost: 1.7259 data_cost: 0.0031 ips: 37.0814 images/s [10/17 16:50:50] ppdet.engine INFO: Epoch: [91] [ 0/229] learning_rate: 0.315856 loss_vfl: 0.861013 loss_bbox: 0.319220 loss_dfl: 0.203668 loss: 1.389185 eta: 1 day, 5:19:33 batch_cost: 2.7008 data_cost: 1.0985 ips: 23.6970 images/s [10/17 16:51:37] ppdet.engine INFO: Epoch: [91] [ 20/229] learning_rate: 0.315707 loss_vfl: 0.850975 loss_bbox: 0.317130 loss_dfl: 0.205245 loss: 1.384985 eta: 1 day, 5:18:46 batch_cost: 2.1421 data_cost: 0.0034 ips: 29.8776 images/s [10/17 16:52:24] ppdet.engine INFO: Epoch: [91] [ 40/229] learning_rate: 0.315558 loss_vfl: 0.864384 loss_bbox: 0.302609 loss_dfl: 0.192711 loss: 1.359058 eta: 1 day, 5:18:01 batch_cost: 2.1772 data_cost: 0.0037 ips: 29.3960 images/s [10/17 16:53:11] ppdet.engine INFO: Epoch: [91] [ 60/229] learning_rate: 0.315408 loss_vfl: 0.866502 loss_bbox: 0.308656 loss_dfl: 0.192809 loss: 1.370843 eta: 1 day, 5:17:16 batch_cost: 2.1967 data_cost: 0.0021 ips: 29.1352 images/s [10/17 16:53:59] ppdet.engine INFO: Epoch: [91] [ 80/229] learning_rate: 0.315259 loss_vfl: 0.859610 loss_bbox: 0.307895 loss_dfl: 0.203792 loss: 1.369443 eta: 1 day, 5:16:31 batch_cost: 2.1872 data_cost: 0.0047 ips: 29.2608 images/s [10/17 16:54:46] ppdet.engine INFO: Epoch: [91] [100/229] learning_rate: 0.315110 loss_vfl: 0.856799 loss_bbox: 0.321797 loss_dfl: 0.202085 loss: 1.370904 eta: 1 day, 5:15:44 batch_cost: 2.1355 data_cost: 0.0055 ips: 29.9696 images/s [10/17 16:55:33] ppdet.engine INFO: Epoch: [91] [120/229] learning_rate: 0.314960 loss_vfl: 0.856088 loss_bbox: 0.311846 loss_dfl: 0.194968 loss: 1.374133 eta: 1 day, 5:14:58 batch_cost: 2.1713 data_cost: 0.0033 ips: 29.4751 images/s [10/17 16:56:21] ppdet.engine INFO: Epoch: [91] [140/229] learning_rate: 0.314810 loss_vfl: 0.859964 loss_bbox: 0.312239 loss_dfl: 0.195814 loss: 1.387748 eta: 1 day, 5:14:15 batch_cost: 2.2155 data_cost: 0.0046 ips: 28.8877 images/s [10/17 16:57:07] ppdet.engine INFO: Epoch: [91] [160/229] learning_rate: 0.314660 loss_vfl: 0.828743 loss_bbox: 0.306705 loss_dfl: 0.194904 loss: 1.347910 eta: 1 day, 5:13:27 batch_cost: 2.1323 data_cost: 0.0035 ips: 30.0151 images/s [10/17 16:57:53] ppdet.engine INFO: Epoch: [91] [180/229] learning_rate: 0.314510 loss_vfl: 0.860466 loss_bbox: 0.334117 loss_dfl: 0.207318 loss: 1.408821 eta: 1 day, 5:12:40 batch_cost: 2.1291 data_cost: 0.0031 ips: 30.0598 images/s [10/17 16:58:38] ppdet.engine INFO: Epoch: [91] [200/229] learning_rate: 0.314360 loss_vfl: 0.867659 loss_bbox: 0.336094 loss_dfl: 0.208081 loss: 1.389213 eta: 1 day, 5:11:51 batch_cost: 2.1016 data_cost: 0.0032 ips: 30.4534 images/s [10/17 16:59:16] ppdet.engine INFO: Epoch: [91] [220/229] learning_rate: 0.314210 loss_vfl: 0.883232 loss_bbox: 0.300197 loss_dfl: 0.194594 loss: 1.395415 eta: 1 day, 5:10:48 batch_cost: 1.7788 data_cost: 0.0015 ips: 35.9793 images/s [10/17 16:59:57] ppdet.engine INFO: Epoch: [92] [ 0/229] learning_rate: 0.314143 loss_vfl: 0.868666 loss_bbox: 0.300197 loss_dfl: 0.191664 loss: 1.380327 eta: 1 day, 5:11:03 batch_cost: 2.5565 data_cost: 0.8390 ips: 25.0345 images/s [10/17 17:00:48] ppdet.engine INFO: Epoch: [92] [ 20/229] learning_rate: 0.313992 loss_vfl: 0.838969 loss_bbox: 0.326364 loss_dfl: 0.202799 loss: 1.372596 eta: 1 day, 5:10:27 batch_cost: 2.3814 data_cost: 0.0036 ips: 26.8752 images/s [10/17 17:01:35] ppdet.engine INFO: Epoch: [92] [ 40/229] learning_rate: 0.313842 loss_vfl: 0.852084 loss_bbox: 0.322111 loss_dfl: 0.200912 loss: 1.392608 eta: 1 day, 5:09:40 batch_cost: 2.1503 data_cost: 0.0031 ips: 29.7635 images/s [10/17 17:02:23] ppdet.engine INFO: Epoch: [92] [ 60/229] learning_rate: 0.313692 loss_vfl: 0.865030 loss_bbox: 0.323892 loss_dfl: 0.208423 loss: 1.401818 eta: 1 day, 5:08:55 batch_cost: 2.1892 data_cost: 0.0032 ips: 29.2345 images/s [10/17 17:03:11] ppdet.engine INFO: Epoch: [92] [ 80/229] learning_rate: 0.313541 loss_vfl: 0.853788 loss_bbox: 0.307833 loss_dfl: 0.193813 loss: 1.371162 eta: 1 day, 5:08:09 batch_cost: 2.1544 data_cost: 0.0044 ips: 29.7072 images/s [10/17 17:03:57] ppdet.engine INFO: Epoch: [92] [100/229] learning_rate: 0.313391 loss_vfl: 0.852634 loss_bbox: 0.323430 loss_dfl: 0.196425 loss: 1.374178 eta: 1 day, 5:07:22 batch_cost: 2.1428 data_cost: 0.0035 ips: 29.8674 images/s [10/17 17:04:44] ppdet.engine INFO: Epoch: [92] [120/229] learning_rate: 0.313240 loss_vfl: 0.847227 loss_bbox: 0.314130 loss_dfl: 0.191868 loss: 1.358166 eta: 1 day, 5:06:37 batch_cost: 2.1839 data_cost: 0.0039 ips: 29.3048 images/s [10/17 17:05:32] ppdet.engine INFO: Epoch: [92] [140/229] learning_rate: 0.313089 loss_vfl: 0.871082 loss_bbox: 0.329885 loss_dfl: 0.209405 loss: 1.420614 eta: 1 day, 5:05:52 batch_cost: 2.2013 data_cost: 0.0077 ips: 29.0740 images/s [10/17 17:06:19] ppdet.engine INFO: Epoch: [92] [160/229] learning_rate: 0.312938 loss_vfl: 0.850884 loss_bbox: 0.338657 loss_dfl: 0.209829 loss: 1.401652 eta: 1 day, 5:05:07 batch_cost: 2.1701 data_cost: 0.0059 ips: 29.4920 images/s [10/17 17:07:06] ppdet.engine INFO: Epoch: [92] [180/229] learning_rate: 0.312787 loss_vfl: 0.860993 loss_bbox: 0.311255 loss_dfl: 0.198353 loss: 1.370032 eta: 1 day, 5:04:22 batch_cost: 2.1842 data_cost: 0.0028 ips: 29.3009 images/s [10/17 17:07:52] ppdet.engine INFO: Epoch: [92] [200/229] learning_rate: 0.312636 loss_vfl: 0.854060 loss_bbox: 0.316478 loss_dfl: 0.202893 loss: 1.376999 eta: 1 day, 5:03:33 batch_cost: 2.1043 data_cost: 0.0100 ips: 30.4137 images/s [10/17 17:08:30] ppdet.engine INFO: Epoch: [92] [220/229] learning_rate: 0.312485 loss_vfl: 0.858367 loss_bbox: 0.331769 loss_dfl: 0.204753 loss: 1.399863 eta: 1 day, 5:02:29 batch_cost: 1.7685 data_cost: 0.0016 ips: 36.1885 images/s [10/17 17:09:11] ppdet.engine INFO: Epoch: [93] [ 0/229] learning_rate: 0.312417 loss_vfl: 0.860087 loss_bbox: 0.334448 loss_dfl: 0.205553 loss: 1.390221 eta: 1 day, 5:02:45 batch_cost: 2.5991 data_cost: 0.8063 ips: 24.6243 images/s [10/17 17:10:01] ppdet.engine INFO: Epoch: [93] [ 20/229] learning_rate: 0.312265 loss_vfl: 0.852119 loss_bbox: 0.336702 loss_dfl: 0.205043 loss: 1.407763 eta: 1 day, 5:02:07 batch_cost: 2.3462 data_cost: 0.0034 ips: 27.2784 images/s [10/17 17:10:48] ppdet.engine INFO: Epoch: [93] [ 40/229] learning_rate: 0.312114 loss_vfl: 0.846187 loss_bbox: 0.324700 loss_dfl: 0.202251 loss: 1.375400 eta: 1 day, 5:01:22 batch_cost: 2.1663 data_cost: 0.0030 ips: 29.5432 images/s [10/17 17:11:35] ppdet.engine INFO: Epoch: [93] [ 60/229] learning_rate: 0.311962 loss_vfl: 0.870787 loss_bbox: 0.308700 loss_dfl: 0.190559 loss: 1.368236 eta: 1 day, 5:00:37 batch_cost: 2.2009 data_cost: 0.0045 ips: 29.0790 images/s [10/17 17:12:23] ppdet.engine INFO: Epoch: [93] [ 80/229] learning_rate: 0.311811 loss_vfl: 0.867728 loss_bbox: 0.310603 loss_dfl: 0.197031 loss: 1.376264 eta: 1 day, 4:59:52 batch_cost: 2.1830 data_cost: 0.0032 ips: 29.3177 images/s [10/17 17:13:10] ppdet.engine INFO: Epoch: [93] [100/229] learning_rate: 0.311659 loss_vfl: 0.857914 loss_bbox: 0.312381 loss_dfl: 0.207369 loss: 1.393913 eta: 1 day, 4:59:05 batch_cost: 2.1405 data_cost: 0.0033 ips: 29.8991 images/s [10/17 17:13:56] ppdet.engine INFO: Epoch: [93] [120/229] learning_rate: 0.311507 loss_vfl: 0.870517 loss_bbox: 0.349965 loss_dfl: 0.213594 loss: 1.428755 eta: 1 day, 4:58:19 batch_cost: 2.1612 data_cost: 0.0107 ips: 29.6137 images/s [10/17 17:14:43] ppdet.engine INFO: Epoch: [93] [140/229] learning_rate: 0.311355 loss_vfl: 0.862700 loss_bbox: 0.327185 loss_dfl: 0.208043 loss: 1.395030 eta: 1 day, 4:57:34 batch_cost: 2.1854 data_cost: 0.0038 ips: 29.2853 images/s [10/17 17:15:31] ppdet.engine INFO: Epoch: [93] [160/229] learning_rate: 0.311203 loss_vfl: 0.871164 loss_bbox: 0.320209 loss_dfl: 0.197011 loss: 1.372928 eta: 1 day, 4:56:49 batch_cost: 2.1814 data_cost: 0.0022 ips: 29.3386 images/s [10/17 17:16:17] ppdet.engine INFO: Epoch: [93] [180/229] learning_rate: 0.311051 loss_vfl: 0.865921 loss_bbox: 0.329451 loss_dfl: 0.204282 loss: 1.402111 eta: 1 day, 4:56:01 batch_cost: 2.1171 data_cost: 0.0019 ips: 30.2297 images/s [10/17 17:17:03] ppdet.engine INFO: Epoch: [93] [200/229] learning_rate: 0.310899 loss_vfl: 0.866637 loss_bbox: 0.338980 loss_dfl: 0.212853 loss: 1.413006 eta: 1 day, 4:55:12 batch_cost: 2.0980 data_cost: 0.0048 ips: 30.5055 images/s [10/17 17:17:41] ppdet.engine INFO: Epoch: [93] [220/229] learning_rate: 0.310747 loss_vfl: 0.836030 loss_bbox: 0.335767 loss_dfl: 0.209610 loss: 1.401731 eta: 1 day, 4:54:09 batch_cost: 1.7784 data_cost: 0.0027 ips: 35.9873 images/s [10/17 17:18:26] ppdet.engine INFO: Epoch: [94] [ 0/229] learning_rate: 0.310678 loss_vfl: 0.859662 loss_bbox: 0.311617 loss_dfl: 0.202399 loss: 1.376792 eta: 1 day, 4:54:34 batch_cost: 2.8094 data_cost: 1.0020 ips: 22.7807 images/s [10/17 17:19:13] ppdet.engine INFO: Epoch: [94] [ 20/229] learning_rate: 0.310526 loss_vfl: 0.854019 loss_bbox: 0.312346 loss_dfl: 0.200180 loss: 1.370651 eta: 1 day, 4:53:44 batch_cost: 2.0748 data_cost: 0.0044 ips: 30.8459 images/s [10/17 17:19:59] ppdet.engine INFO: Epoch: [94] [ 40/229] learning_rate: 0.310373 loss_vfl: 0.849209 loss_bbox: 0.321700 loss_dfl: 0.199378 loss: 1.352240 eta: 1 day, 4:52:58 batch_cost: 2.1722 data_cost: 0.0030 ips: 29.4631 images/s [10/17 17:20:45] ppdet.engine INFO: Epoch: [94] [ 60/229] learning_rate: 0.310221 loss_vfl: 0.864480 loss_bbox: 0.327986 loss_dfl: 0.198671 loss: 1.383527 eta: 1 day, 4:52:11 batch_cost: 2.1340 data_cost: 0.0033 ips: 29.9910 images/s [10/17 17:21:33] ppdet.engine INFO: Epoch: [94] [ 80/229] learning_rate: 0.310068 loss_vfl: 0.844652 loss_bbox: 0.326284 loss_dfl: 0.204814 loss: 1.381851 eta: 1 day, 4:51:27 batch_cost: 2.2068 data_cost: 0.0114 ips: 29.0017 images/s [10/17 17:22:20] ppdet.engine INFO: Epoch: [94] [100/229] learning_rate: 0.309915 loss_vfl: 0.845122 loss_bbox: 0.334243 loss_dfl: 0.206103 loss: 1.381888 eta: 1 day, 4:50:42 batch_cost: 2.2043 data_cost: 0.0032 ips: 29.0346 images/s [10/17 17:23:06] ppdet.engine INFO: Epoch: [94] [120/229] learning_rate: 0.309763 loss_vfl: 0.830179 loss_bbox: 0.336106 loss_dfl: 0.204456 loss: 1.379564 eta: 1 day, 4:49:57 batch_cost: 2.1719 data_cost: 0.0036 ips: 29.4671 images/s [10/17 17:23:53] ppdet.engine INFO: Epoch: [94] [140/229] learning_rate: 0.309610 loss_vfl: 0.863328 loss_bbox: 0.320636 loss_dfl: 0.194514 loss: 1.385955 eta: 1 day, 4:49:11 batch_cost: 2.1702 data_cost: 0.0056 ips: 29.4902 images/s [10/17 17:24:40] ppdet.engine INFO: Epoch: [94] [160/229] learning_rate: 0.309457 loss_vfl: 0.839061 loss_bbox: 0.320317 loss_dfl: 0.207778 loss: 1.376429 eta: 1 day, 4:48:23 batch_cost: 2.1069 data_cost: 0.0043 ips: 30.3771 images/s [10/17 17:25:25] ppdet.engine INFO: Epoch: [94] [180/229] learning_rate: 0.309303 loss_vfl: 0.861446 loss_bbox: 0.329453 loss_dfl: 0.198997 loss: 1.390811 eta: 1 day, 4:47:35 batch_cost: 2.1109 data_cost: 0.0019 ips: 30.3192 images/s [10/17 17:26:11] ppdet.engine INFO: Epoch: [94] [200/229] learning_rate: 0.309150 loss_vfl: 0.857638 loss_bbox: 0.327720 loss_dfl: 0.198307 loss: 1.401844 eta: 1 day, 4:46:48 batch_cost: 2.1597 data_cost: 0.0039 ips: 29.6335 images/s [10/17 17:26:49] ppdet.engine INFO: Epoch: [94] [220/229] learning_rate: 0.308997 loss_vfl: 0.860952 loss_bbox: 0.316330 loss_dfl: 0.194357 loss: 1.371701 eta: 1 day, 4:45:45 batch_cost: 1.7650 data_cost: 0.0013 ips: 36.2610 images/s [10/17 17:27:33] ppdet.engine INFO: Epoch: [95] [ 0/229] learning_rate: 0.308928 loss_vfl: 0.860952 loss_bbox: 0.316395 loss_dfl: 0.188932 loss: 1.362789 eta: 1 day, 4:46:07 batch_cost: 2.7513 data_cost: 0.8498 ips: 23.2619 images/s [10/17 17:28:20] ppdet.engine INFO: Epoch: [95] [ 20/229] learning_rate: 0.308774 loss_vfl: 0.854606 loss_bbox: 0.304579 loss_dfl: 0.198881 loss: 1.340548 eta: 1 day, 4:45:19 batch_cost: 2.1099 data_cost: 0.0042 ips: 30.3334 images/s [10/17 17:29:07] ppdet.engine INFO: Epoch: [95] [ 40/229] learning_rate: 0.308621 loss_vfl: 0.832327 loss_bbox: 0.326809 loss_dfl: 0.203282 loss: 1.370749 eta: 1 day, 4:44:33 batch_cost: 2.1726 data_cost: 0.0050 ips: 29.4576 images/s [10/17 17:29:55] ppdet.engine INFO: Epoch: [95] [ 60/229] learning_rate: 0.308467 loss_vfl: 0.859494 loss_bbox: 0.337892 loss_dfl: 0.208374 loss: 1.417210 eta: 1 day, 4:43:44 batch_cost: 2.0949 data_cost: 0.0044 ips: 30.5503 images/s [10/17 17:30:42] ppdet.engine INFO: Epoch: [95] [ 80/229] learning_rate: 0.308313 loss_vfl: 0.874184 loss_bbox: 0.315121 loss_dfl: 0.204596 loss: 1.374925 eta: 1 day, 4:43:00 batch_cost: 2.2090 data_cost: 0.0051 ips: 28.9724 images/s [10/17 17:31:29] ppdet.engine INFO: Epoch: [95] [100/229] learning_rate: 0.308160 loss_vfl: 0.847471 loss_bbox: 0.307145 loss_dfl: 0.191927 loss: 1.373097 eta: 1 day, 4:42:14 batch_cost: 2.1620 data_cost: 0.0026 ips: 29.6021 images/s [10/17 17:32:15] ppdet.engine INFO: Epoch: [95] [120/229] learning_rate: 0.308006 loss_vfl: 0.852083 loss_bbox: 0.307567 loss_dfl: 0.193433 loss: 1.352290 eta: 1 day, 4:41:29 batch_cost: 2.1798 data_cost: 0.0038 ips: 29.3598 images/s [10/17 17:33:03] ppdet.engine INFO: Epoch: [95] [140/229] learning_rate: 0.307852 loss_vfl: 0.858564 loss_bbox: 0.314930 loss_dfl: 0.195771 loss: 1.351034 eta: 1 day, 4:40:45 batch_cost: 2.1966 data_cost: 0.0047 ips: 29.1364 images/s [10/17 17:33:49] ppdet.engine INFO: Epoch: [95] [160/229] learning_rate: 0.307698 loss_vfl: 0.850938 loss_bbox: 0.300761 loss_dfl: 0.188830 loss: 1.345829 eta: 1 day, 4:39:59 batch_cost: 2.1680 data_cost: 0.0021 ips: 29.5204 images/s [10/17 17:34:36] ppdet.engine INFO: Epoch: [95] [180/229] learning_rate: 0.307543 loss_vfl: 0.848826 loss_bbox: 0.321499 loss_dfl: 0.197872 loss: 1.359739 eta: 1 day, 4:39:13 batch_cost: 2.1586 data_cost: 0.0047 ips: 29.6484 images/s [10/17 17:35:22] ppdet.engine INFO: Epoch: [95] [200/229] learning_rate: 0.307389 loss_vfl: 0.849747 loss_bbox: 0.308802 loss_dfl: 0.199637 loss: 1.356970 eta: 1 day, 4:38:27 batch_cost: 2.1760 data_cost: 0.0051 ips: 29.4121 images/s [10/17 17:36:01] ppdet.engine INFO: Epoch: [95] [220/229] learning_rate: 0.307235 loss_vfl: 0.850839 loss_bbox: 0.330894 loss_dfl: 0.207505 loss: 1.395470 eta: 1 day, 4:37:25 batch_cost: 1.7855 data_cost: 0.0034 ips: 35.8448 images/s [10/17 17:36:47] ppdet.engine INFO: Epoch: [96] [ 0/229] learning_rate: 0.307165 loss_vfl: 0.855725 loss_bbox: 0.315332 loss_dfl: 0.202495 loss: 1.374324 eta: 1 day, 4:37:49 batch_cost: 2.8285 data_cost: 0.7751 ips: 22.6270 images/s [10/17 17:37:34] ppdet.engine INFO: Epoch: [96] [ 20/229] learning_rate: 0.307011 loss_vfl: 0.851136 loss_bbox: 0.320073 loss_dfl: 0.201575 loss: 1.373618 eta: 1 day, 4:37:04 batch_cost: 2.1889 data_cost: 0.0040 ips: 29.2389 images/s [10/17 17:38:21] ppdet.engine INFO: Epoch: [96] [ 40/229] learning_rate: 0.306856 loss_vfl: 0.848249 loss_bbox: 0.316460 loss_dfl: 0.197477 loss: 1.392113 eta: 1 day, 4:36:19 batch_cost: 2.1875 data_cost: 0.0152 ips: 29.2577 images/s [10/17 17:39:08] ppdet.engine INFO: Epoch: [96] [ 60/229] learning_rate: 0.306702 loss_vfl: 0.868403 loss_bbox: 0.330701 loss_dfl: 0.202642 loss: 1.420465 eta: 1 day, 4:35:34 batch_cost: 2.1867 data_cost: 0.0038 ips: 29.2675 images/s [10/17 17:39:56] ppdet.engine INFO: Epoch: [96] [ 80/229] learning_rate: 0.306547 loss_vfl: 0.844865 loss_bbox: 0.309170 loss_dfl: 0.191531 loss: 1.377103 eta: 1 day, 4:34:49 batch_cost: 2.1846 data_cost: 0.0048 ips: 29.2956 images/s [10/17 17:40:43] ppdet.engine INFO: Epoch: [96] [100/229] learning_rate: 0.306392 loss_vfl: 0.857434 loss_bbox: 0.321873 loss_dfl: 0.199239 loss: 1.377386 eta: 1 day, 4:34:06 batch_cost: 2.2264 data_cost: 0.0029 ips: 28.7456 images/s [10/17 17:41:30] ppdet.engine INFO: Epoch: [96] [120/229] learning_rate: 0.306237 loss_vfl: 0.858068 loss_bbox: 0.305812 loss_dfl: 0.199239 loss: 1.355534 eta: 1 day, 4:33:22 batch_cost: 2.2041 data_cost: 0.0062 ips: 29.0363 images/s [10/17 17:42:17] ppdet.engine INFO: Epoch: [96] [140/229] learning_rate: 0.306082 loss_vfl: 0.879548 loss_bbox: 0.319548 loss_dfl: 0.203307 loss: 1.391708 eta: 1 day, 4:32:38 batch_cost: 2.2053 data_cost: 0.0023 ips: 29.0212 images/s [10/17 17:43:04] ppdet.engine INFO: Epoch: [96] [160/229] learning_rate: 0.305927 loss_vfl: 0.835138 loss_bbox: 0.320548 loss_dfl: 0.196216 loss: 1.365068 eta: 1 day, 4:31:50 batch_cost: 2.1328 data_cost: 0.0064 ips: 30.0069 images/s [10/17 17:43:51] ppdet.engine INFO: Epoch: [96] [180/229] learning_rate: 0.305772 loss_vfl: 0.855694 loss_bbox: 0.325951 loss_dfl: 0.202334 loss: 1.395636 eta: 1 day, 4:31:04 batch_cost: 2.1604 data_cost: 0.0038 ips: 29.6243 images/s [10/17 17:44:37] ppdet.engine INFO: Epoch: [96] [200/229] learning_rate: 0.305616 loss_vfl: 0.861834 loss_bbox: 0.292778 loss_dfl: 0.187082 loss: 1.382176 eta: 1 day, 4:30:17 batch_cost: 2.1178 data_cost: 0.0053 ips: 30.2196 images/s [10/17 17:45:15] ppdet.engine INFO: Epoch: [96] [220/229] learning_rate: 0.305461 loss_vfl: 0.848210 loss_bbox: 0.319200 loss_dfl: 0.194720 loss: 1.379277 eta: 1 day, 4:29:13 batch_cost: 1.7393 data_cost: 0.0048 ips: 36.7957 images/s [10/17 17:45:59] ppdet.engine INFO: Epoch: [97] [ 0/229] learning_rate: 0.305391 loss_vfl: 0.875940 loss_bbox: 0.308460 loss_dfl: 0.193935 loss: 1.394550 eta: 1 day, 4:29:34 batch_cost: 2.7717 data_cost: 0.6077 ips: 23.0905 images/s [10/17 17:46:46] ppdet.engine INFO: Epoch: [97] [ 20/229] learning_rate: 0.305236 loss_vfl: 0.880599 loss_bbox: 0.334490 loss_dfl: 0.200131 loss: 1.391789 eta: 1 day, 4:28:47 batch_cost: 2.1510 data_cost: 0.0027 ips: 29.7542 images/s [10/17 17:47:33] ppdet.engine INFO: Epoch: [97] [ 40/229] learning_rate: 0.305080 loss_vfl: 0.849954 loss_bbox: 0.332910 loss_dfl: 0.207687 loss: 1.391290 eta: 1 day, 4:28:02 batch_cost: 2.1861 data_cost: 0.0050 ips: 29.2764 images/s [10/17 17:48:20] ppdet.engine INFO: Epoch: [97] [ 60/229] learning_rate: 0.304924 loss_vfl: 0.846217 loss_bbox: 0.304823 loss_dfl: 0.193156 loss: 1.346949 eta: 1 day, 4:27:17 batch_cost: 2.1922 data_cost: 0.0042 ips: 29.1938 images/s [10/17 17:49:07] ppdet.engine INFO: Epoch: [97] [ 80/229] learning_rate: 0.304769 loss_vfl: 0.858670 loss_bbox: 0.319669 loss_dfl: 0.199934 loss: 1.378621 eta: 1 day, 4:26:31 batch_cost: 2.1514 data_cost: 0.0029 ips: 29.7486 images/s [10/17 17:49:54] ppdet.engine INFO: Epoch: [97] [100/229] learning_rate: 0.304613 loss_vfl: 0.868527 loss_bbox: 0.330082 loss_dfl: 0.199058 loss: 1.395514 eta: 1 day, 4:25:45 batch_cost: 2.1526 data_cost: 0.0064 ips: 29.7315 images/s [10/17 17:50:42] ppdet.engine INFO: Epoch: [97] [120/229] learning_rate: 0.304457 loss_vfl: 0.832867 loss_bbox: 0.298146 loss_dfl: 0.191837 loss: 1.338057 eta: 1 day, 4:25:00 batch_cost: 2.1957 data_cost: 0.0036 ips: 29.1483 images/s [10/17 17:51:28] ppdet.engine INFO: Epoch: [97] [140/229] learning_rate: 0.304301 loss_vfl: 0.839230 loss_bbox: 0.326322 loss_dfl: 0.207800 loss: 1.384955 eta: 1 day, 4:24:12 batch_cost: 2.1164 data_cost: 0.0035 ips: 30.2400 images/s [10/17 17:52:15] ppdet.engine INFO: Epoch: [97] [160/229] learning_rate: 0.304145 loss_vfl: 0.857303 loss_bbox: 0.334605 loss_dfl: 0.197696 loss: 1.379025 eta: 1 day, 4:23:27 batch_cost: 2.1779 data_cost: 0.0021 ips: 29.3855 images/s [10/17 17:53:01] ppdet.engine INFO: Epoch: [97] [180/229] learning_rate: 0.303988 loss_vfl: 0.844586 loss_bbox: 0.333259 loss_dfl: 0.208597 loss: 1.370207 eta: 1 day, 4:22:40 batch_cost: 2.1384 data_cost: 0.0025 ips: 29.9287 images/s [10/17 17:53:47] ppdet.engine INFO: Epoch: [97] [200/229] learning_rate: 0.303832 loss_vfl: 0.855281 loss_bbox: 0.341816 loss_dfl: 0.207307 loss: 1.388284 eta: 1 day, 4:21:53 batch_cost: 2.1260 data_cost: 0.0031 ips: 30.1033 images/s [10/17 17:54:26] ppdet.engine INFO: Epoch: [97] [220/229] learning_rate: 0.303676 loss_vfl: 0.849929 loss_bbox: 0.338901 loss_dfl: 0.206754 loss: 1.390936 eta: 1 day, 4:20:51 batch_cost: 1.7710 data_cost: 0.0027 ips: 36.1385 images/s [10/17 17:55:08] ppdet.engine INFO: Epoch: [98] [ 0/229] learning_rate: 0.303605 loss_vfl: 0.847639 loss_bbox: 0.343120 loss_dfl: 0.205799 loss: 1.397829 eta: 1 day, 4:21:08 batch_cost: 2.6777 data_cost: 0.7908 ips: 23.9013 images/s [10/17 17:55:55] ppdet.engine INFO: Epoch: [98] [ 20/229] learning_rate: 0.303449 loss_vfl: 0.849966 loss_bbox: 0.308229 loss_dfl: 0.193826 loss: 1.358823 eta: 1 day, 4:20:23 batch_cost: 2.1782 data_cost: 0.0023 ips: 29.3818 images/s [10/17 17:56:42] ppdet.engine INFO: Epoch: [98] [ 40/229] learning_rate: 0.303292 loss_vfl: 0.857627 loss_bbox: 0.341740 loss_dfl: 0.206867 loss: 1.402853 eta: 1 day, 4:19:36 batch_cost: 2.1495 data_cost: 0.0073 ips: 29.7746 images/s [10/17 17:57:29] ppdet.engine INFO: Epoch: [98] [ 60/229] learning_rate: 0.303136 loss_vfl: 0.851686 loss_bbox: 0.318830 loss_dfl: 0.197209 loss: 1.370286 eta: 1 day, 4:18:52 batch_cost: 2.2061 data_cost: 0.0034 ips: 29.0100 images/s [10/17 17:58:16] ppdet.engine INFO: Epoch: [98] [ 80/229] learning_rate: 0.302979 loss_vfl: 0.844497 loss_bbox: 0.301872 loss_dfl: 0.188681 loss: 1.334354 eta: 1 day, 4:18:06 batch_cost: 2.1552 data_cost: 0.0048 ips: 29.6954 images/s [10/17 17:59:03] ppdet.engine INFO: Epoch: [98] [100/229] learning_rate: 0.302822 loss_vfl: 0.851897 loss_bbox: 0.321035 loss_dfl: 0.201856 loss: 1.379558 eta: 1 day, 4:17:20 batch_cost: 2.1714 data_cost: 0.0050 ips: 29.4747 images/s [10/17 17:59:49] ppdet.engine INFO: Epoch: [98] [120/229] learning_rate: 0.302665 loss_vfl: 0.845410 loss_bbox: 0.313217 loss_dfl: 0.195560 loss: 1.341050 eta: 1 day, 4:16:34 batch_cost: 2.1390 data_cost: 0.0072 ips: 29.9210 images/s [10/17 18:00:36] ppdet.engine INFO: Epoch: [98] [140/229] learning_rate: 0.302508 loss_vfl: 0.857736 loss_bbox: 0.320691 loss_dfl: 0.196915 loss: 1.353691 eta: 1 day, 4:15:48 batch_cost: 2.1607 data_cost: 0.0018 ips: 29.6201 images/s [10/17 18:01:22] ppdet.engine INFO: Epoch: [98] [160/229] learning_rate: 0.302351 loss_vfl: 0.848834 loss_bbox: 0.320697 loss_dfl: 0.192957 loss: 1.350539 eta: 1 day, 4:15:02 batch_cost: 2.1590 data_cost: 0.0033 ips: 29.6428 images/s [10/17 18:02:09] ppdet.engine INFO: Epoch: [98] [180/229] learning_rate: 0.302194 loss_vfl: 0.846153 loss_bbox: 0.313606 loss_dfl: 0.193960 loss: 1.366517 eta: 1 day, 4:14:16 batch_cost: 2.1800 data_cost: 0.0117 ips: 29.3579 images/s [10/17 18:02:55] ppdet.engine INFO: Epoch: [98] [200/229] learning_rate: 0.302036 loss_vfl: 0.867265 loss_bbox: 0.317912 loss_dfl: 0.206676 loss: 1.380646 eta: 1 day, 4:13:30 batch_cost: 2.1482 data_cost: 0.0115 ips: 29.7918 images/s [10/17 18:03:34] ppdet.engine INFO: Epoch: [98] [220/229] learning_rate: 0.301879 loss_vfl: 0.854117 loss_bbox: 0.327871 loss_dfl: 0.203738 loss: 1.392182 eta: 1 day, 4:12:28 batch_cost: 1.7599 data_cost: 0.0055 ips: 36.3651 images/s [10/17 18:04:16] ppdet.engine INFO: Epoch: [99] [ 0/229] learning_rate: 0.301808 loss_vfl: 0.856556 loss_bbox: 0.308523 loss_dfl: 0.195008 loss: 1.380159 eta: 1 day, 4:12:43 batch_cost: 2.6561 data_cost: 1.0120 ips: 24.0959 images/s [10/17 18:05:05] ppdet.engine INFO: Epoch: [99] [ 20/229] learning_rate: 0.301651 loss_vfl: 0.841441 loss_bbox: 0.310458 loss_dfl: 0.193711 loss: 1.350526 eta: 1 day, 4:12:02 batch_cost: 2.2845 data_cost: 0.0030 ips: 28.0146 images/s [10/17 18:05:52] ppdet.engine INFO: Epoch: [99] [ 40/229] learning_rate: 0.301493 loss_vfl: 0.841897 loss_bbox: 0.336241 loss_dfl: 0.209367 loss: 1.388229 eta: 1 day, 4:11:16 batch_cost: 2.1611 data_cost: 0.0048 ips: 29.6149 images/s [10/17 18:06:39] ppdet.engine INFO: Epoch: [99] [ 60/229] learning_rate: 0.301336 loss_vfl: 0.845780 loss_bbox: 0.308146 loss_dfl: 0.195690 loss: 1.352720 eta: 1 day, 4:10:31 batch_cost: 2.1675 data_cost: 0.0033 ips: 29.5267 images/s [10/17 18:07:26] ppdet.engine INFO: Epoch: [99] [ 80/229] learning_rate: 0.301178 loss_vfl: 0.845527 loss_bbox: 0.320182 loss_dfl: 0.198268 loss: 1.359161 eta: 1 day, 4:09:47 batch_cost: 2.2170 data_cost: 0.0022 ips: 28.8684 images/s [10/17 18:08:13] ppdet.engine INFO: Epoch: [99] [100/229] learning_rate: 0.301020 loss_vfl: 0.863639 loss_bbox: 0.323159 loss_dfl: 0.199248 loss: 1.377878 eta: 1 day, 4:08:59 batch_cost: 2.1202 data_cost: 0.0052 ips: 30.1854 images/s [10/17 18:09:01] ppdet.engine INFO: Epoch: [99] [120/229] learning_rate: 0.300862 loss_vfl: 0.829467 loss_bbox: 0.319053 loss_dfl: 0.205148 loss: 1.359153 eta: 1 day, 4:08:13 batch_cost: 2.1538 data_cost: 0.0052 ips: 29.7145 images/s [10/17 18:09:47] ppdet.engine INFO: Epoch: [99] [140/229] learning_rate: 0.300704 loss_vfl: 0.861991 loss_bbox: 0.299160 loss_dfl: 0.186708 loss: 1.343719 eta: 1 day, 4:07:27 batch_cost: 2.1633 data_cost: 0.0068 ips: 29.5842 images/s [10/17 18:10:34] ppdet.engine INFO: Epoch: [99] [160/229] learning_rate: 0.300546 loss_vfl: 0.849465 loss_bbox: 0.322477 loss_dfl: 0.199574 loss: 1.367054 eta: 1 day, 4:06:44 batch_cost: 2.2154 data_cost: 0.0054 ips: 28.8892 images/s [10/17 18:11:21] ppdet.engine INFO: Epoch: [99] [180/229] learning_rate: 0.300388 loss_vfl: 0.842466 loss_bbox: 0.308362 loss_dfl: 0.192645 loss: 1.349320 eta: 1 day, 4:05:58 batch_cost: 2.1623 data_cost: 0.0016 ips: 29.5987 images/s [10/17 18:12:07] ppdet.engine INFO: Epoch: [99] [200/229] learning_rate: 0.300230 loss_vfl: 0.857235 loss_bbox: 0.319752 loss_dfl: 0.198762 loss: 1.385896 eta: 1 day, 4:05:11 batch_cost: 2.1305 data_cost: 0.0059 ips: 30.0398 images/s [10/17 18:12:44] ppdet.engine INFO: Epoch: [99] [220/229] learning_rate: 0.300071 loss_vfl: 0.851592 loss_bbox: 0.315107 loss_dfl: 0.193709 loss: 1.357598 eta: 1 day, 4:04:07 batch_cost: 1.7270 data_cost: 0.0038 ips: 37.0593 images/s [10/17 18:12:58] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 18:12:58] ppdet.engine INFO: Eval iter: 0 [10/17 18:13:40] ppdet.engine INFO: Eval iter: 100 [10/17 18:13:54] ppdet.engine INFO: Eval iter: 200 [10/17 18:14:09] ppdet.engine INFO: Eval iter: 300 [10/17 18:14:23] ppdet.engine INFO: Eval iter: 400 [10/17 18:14:38] ppdet.engine INFO: Eval iter: 500 [10/17 18:14:55] ppdet.engine INFO: Eval iter: 600 [10/17 18:15:07] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.51s) creating index... index created! [10/17 18:15:07] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.94s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.80s). Accumulating evaluation results... DONE (t=11.49s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.291 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.434 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.301 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 ] = 0.266 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.414 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.440 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 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.710 [10/17 18:16:29] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.99156630821518 [10/17 18:16:29] ppdet.engine INFO: Best test bbox ap is 0.291. [10/17 18:16:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 18:16:31] ppdet.engine INFO: Epoch: [100] [ 0/229] learning_rate: 0.300000 loss_vfl: 0.866115 loss_bbox: 0.322110 loss_dfl: 0.199012 loss: 1.390352 eta: 1 day, 4:03:27 batch_cost: 1.3028 data_cost: 0.0012 ips: 49.1239 images/s [10/17 18:17:16] ppdet.engine INFO: Epoch: [100] [ 20/229] learning_rate: 0.299842 loss_vfl: 0.853600 loss_bbox: 0.319980 loss_dfl: 0.199302 loss: 1.376185 eta: 1 day, 4:02:40 batch_cost: 2.1378 data_cost: 0.0022 ips: 29.9368 images/s [10/17 18:18:03] ppdet.engine INFO: Epoch: [100] [ 40/229] learning_rate: 0.299683 loss_vfl: 0.840940 loss_bbox: 0.317790 loss_dfl: 0.194818 loss: 1.356259 eta: 1 day, 4:01:53 batch_cost: 2.1222 data_cost: 0.0028 ips: 30.1579 images/s [10/17 18:18:50] ppdet.engine INFO: Epoch: [100] [ 60/229] learning_rate: 0.299524 loss_vfl: 0.863961 loss_bbox: 0.324338 loss_dfl: 0.204147 loss: 1.380149 eta: 1 day, 4:01:06 batch_cost: 2.1392 data_cost: 0.0032 ips: 29.9181 images/s [10/17 18:19:37] ppdet.engine INFO: Epoch: [100] [ 80/229] learning_rate: 0.299366 loss_vfl: 0.842319 loss_bbox: 0.329713 loss_dfl: 0.211107 loss: 1.389541 eta: 1 day, 4:00:22 batch_cost: 2.1992 data_cost: 0.0065 ips: 29.1014 images/s [10/17 18:20:24] ppdet.engine INFO: Epoch: [100] [100/229] learning_rate: 0.299207 loss_vfl: 0.856158 loss_bbox: 0.320109 loss_dfl: 0.194574 loss: 1.356834 eta: 1 day, 3:59:37 batch_cost: 2.1923 data_cost: 0.0036 ips: 29.1925 images/s [10/17 18:21:11] ppdet.engine INFO: Epoch: [100] [120/229] learning_rate: 0.299048 loss_vfl: 0.836603 loss_bbox: 0.312410 loss_dfl: 0.195171 loss: 1.362390 eta: 1 day, 3:58:51 batch_cost: 2.1564 data_cost: 0.0062 ips: 29.6786 images/s [10/17 18:21:58] ppdet.engine INFO: Epoch: [100] [140/229] learning_rate: 0.298889 loss_vfl: 0.836239 loss_bbox: 0.315009 loss_dfl: 0.199067 loss: 1.337834 eta: 1 day, 3:58:05 batch_cost: 2.1612 data_cost: 0.0027 ips: 29.6131 images/s [10/17 18:22:45] ppdet.engine INFO: Epoch: [100] [160/229] learning_rate: 0.298730 loss_vfl: 0.860359 loss_bbox: 0.331189 loss_dfl: 0.205003 loss: 1.402104 eta: 1 day, 3:57:20 batch_cost: 2.1677 data_cost: 0.0048 ips: 29.5249 images/s [10/17 18:23:32] ppdet.engine INFO: Epoch: [100] [180/229] learning_rate: 0.298571 loss_vfl: 0.855820 loss_bbox: 0.332497 loss_dfl: 0.202249 loss: 1.384873 eta: 1 day, 3:56:33 batch_cost: 2.1335 data_cost: 0.0050 ips: 29.9973 images/s [10/17 18:24:18] ppdet.engine INFO: Epoch: [100] [200/229] learning_rate: 0.298412 loss_vfl: 0.864523 loss_bbox: 0.313741 loss_dfl: 0.195624 loss: 1.384078 eta: 1 day, 3:55:45 batch_cost: 2.1106 data_cost: 0.0038 ips: 30.3234 images/s [10/17 18:24:57] ppdet.engine INFO: Epoch: [100] [220/229] learning_rate: 0.298252 loss_vfl: 0.855244 loss_bbox: 0.327932 loss_dfl: 0.203815 loss: 1.397038 eta: 1 day, 3:54:42 batch_cost: 1.7299 data_cost: 0.0033 ips: 36.9959 images/s [10/17 18:25:39] ppdet.engine INFO: Epoch: [101] [ 0/229] learning_rate: 0.298181 loss_vfl: 0.861046 loss_bbox: 0.330214 loss_dfl: 0.207247 loss: 1.398903 eta: 1 day, 3:54:58 batch_cost: 2.6723 data_cost: 0.7644 ips: 23.9494 images/s [10/17 18:26:28] ppdet.engine INFO: Epoch: [101] [ 20/229] learning_rate: 0.298021 loss_vfl: 0.857933 loss_bbox: 0.319065 loss_dfl: 0.206427 loss: 1.376893 eta: 1 day, 3:54:17 batch_cost: 2.2924 data_cost: 0.0025 ips: 27.9178 images/s [10/17 18:27:16] ppdet.engine INFO: Epoch: [101] [ 40/229] learning_rate: 0.297862 loss_vfl: 0.868135 loss_bbox: 0.304539 loss_dfl: 0.193054 loss: 1.361372 eta: 1 day, 3:53:33 batch_cost: 2.2152 data_cost: 0.0042 ips: 28.8908 images/s [10/17 18:28:03] ppdet.engine INFO: Epoch: [101] [ 60/229] learning_rate: 0.297702 loss_vfl: 0.827071 loss_bbox: 0.307499 loss_dfl: 0.197367 loss: 1.343740 eta: 1 day, 3:52:47 batch_cost: 2.1614 data_cost: 0.0050 ips: 29.6111 images/s [10/17 18:28:51] ppdet.engine INFO: Epoch: [101] [ 80/229] learning_rate: 0.297543 loss_vfl: 0.844329 loss_bbox: 0.321129 loss_dfl: 0.193260 loss: 1.375185 eta: 1 day, 3:52:03 batch_cost: 2.1995 data_cost: 0.0059 ips: 29.0980 images/s [10/17 18:29:36] ppdet.engine INFO: Epoch: [101] [100/229] learning_rate: 0.297383 loss_vfl: 0.840630 loss_bbox: 0.339793 loss_dfl: 0.206749 loss: 1.380590 eta: 1 day, 3:51:15 batch_cost: 2.1130 data_cost: 0.0063 ips: 30.2884 images/s [10/17 18:30:23] ppdet.engine INFO: Epoch: [101] [120/229] learning_rate: 0.297223 loss_vfl: 0.858094 loss_bbox: 0.305655 loss_dfl: 0.196642 loss: 1.359150 eta: 1 day, 3:50:30 batch_cost: 2.1626 data_cost: 0.0043 ips: 29.5936 images/s [10/17 18:31:10] ppdet.engine INFO: Epoch: [101] [140/229] learning_rate: 0.297063 loss_vfl: 0.858476 loss_bbox: 0.309031 loss_dfl: 0.192689 loss: 1.351423 eta: 1 day, 3:49:46 batch_cost: 2.2130 data_cost: 0.0034 ips: 28.9200 images/s [10/17 18:31:57] ppdet.engine INFO: Epoch: [101] [160/229] learning_rate: 0.296903 loss_vfl: 0.859540 loss_bbox: 0.319305 loss_dfl: 0.197535 loss: 1.382453 eta: 1 day, 3:49:00 batch_cost: 2.1542 data_cost: 0.0031 ips: 29.7096 images/s [10/17 18:32:44] ppdet.engine INFO: Epoch: [101] [180/229] learning_rate: 0.296743 loss_vfl: 0.861827 loss_bbox: 0.312257 loss_dfl: 0.202142 loss: 1.383196 eta: 1 day, 3:48:12 batch_cost: 2.1024 data_cost: 0.0021 ips: 30.4420 images/s [10/17 18:33:29] ppdet.engine INFO: Epoch: [101] [200/229] learning_rate: 0.296583 loss_vfl: 0.855298 loss_bbox: 0.342716 loss_dfl: 0.207877 loss: 1.407756 eta: 1 day, 3:47:22 batch_cost: 2.0590 data_cost: 0.0043 ips: 31.0832 images/s [10/17 18:34:07] ppdet.engine INFO: Epoch: [101] [220/229] learning_rate: 0.296423 loss_vfl: 0.854395 loss_bbox: 0.314317 loss_dfl: 0.197753 loss: 1.356272 eta: 1 day, 3:46:21 batch_cost: 1.7738 data_cost: 0.0033 ips: 36.0812 images/s [10/17 18:34:49] ppdet.engine INFO: Epoch: [102] [ 0/229] learning_rate: 0.296351 loss_vfl: 0.854976 loss_bbox: 0.314135 loss_dfl: 0.203416 loss: 1.383082 eta: 1 day, 3:46:33 batch_cost: 2.6094 data_cost: 0.7604 ips: 24.5264 images/s [10/17 18:35:37] ppdet.engine INFO: Epoch: [102] [ 20/229] learning_rate: 0.296190 loss_vfl: 0.849720 loss_bbox: 0.327757 loss_dfl: 0.205292 loss: 1.383937 eta: 1 day, 3:45:50 batch_cost: 2.2247 data_cost: 0.0039 ips: 28.7673 images/s [10/17 18:36:25] ppdet.engine INFO: Epoch: [102] [ 40/229] learning_rate: 0.296030 loss_vfl: 0.860459 loss_bbox: 0.317829 loss_dfl: 0.195485 loss: 1.367492 eta: 1 day, 3:45:06 batch_cost: 2.2112 data_cost: 0.0060 ips: 28.9429 images/s [10/17 18:37:12] ppdet.engine INFO: Epoch: [102] [ 60/229] learning_rate: 0.295869 loss_vfl: 0.842188 loss_bbox: 0.343497 loss_dfl: 0.203593 loss: 1.397715 eta: 1 day, 3:44:21 batch_cost: 2.1805 data_cost: 0.0046 ips: 29.3513 images/s [10/17 18:37:59] ppdet.engine INFO: Epoch: [102] [ 80/229] learning_rate: 0.295709 loss_vfl: 0.844762 loss_bbox: 0.315300 loss_dfl: 0.195027 loss: 1.382193 eta: 1 day, 3:43:35 batch_cost: 2.1797 data_cost: 0.0028 ips: 29.3621 images/s [10/17 18:38:46] ppdet.engine INFO: Epoch: [102] [100/229] learning_rate: 0.295548 loss_vfl: 0.875966 loss_bbox: 0.314879 loss_dfl: 0.199504 loss: 1.396899 eta: 1 day, 3:42:48 batch_cost: 2.1294 data_cost: 0.0029 ips: 30.0552 images/s [10/17 18:39:34] ppdet.engine INFO: Epoch: [102] [120/229] learning_rate: 0.295388 loss_vfl: 0.852589 loss_bbox: 0.297208 loss_dfl: 0.200040 loss: 1.358257 eta: 1 day, 3:42:05 batch_cost: 2.2232 data_cost: 0.0048 ips: 28.7874 images/s [10/17 18:40:21] ppdet.engine INFO: Epoch: [102] [140/229] learning_rate: 0.295227 loss_vfl: 0.851792 loss_bbox: 0.311982 loss_dfl: 0.197454 loss: 1.356914 eta: 1 day, 3:41:19 batch_cost: 2.1620 data_cost: 0.0047 ips: 29.6018 images/s [10/17 18:41:09] ppdet.engine INFO: Epoch: [102] [160/229] learning_rate: 0.295066 loss_vfl: 0.859705 loss_bbox: 0.315442 loss_dfl: 0.189595 loss: 1.380831 eta: 1 day, 3:40:36 batch_cost: 2.2355 data_cost: 0.0070 ips: 28.6284 images/s [10/17 18:41:55] ppdet.engine INFO: Epoch: [102] [180/229] learning_rate: 0.294905 loss_vfl: 0.860875 loss_bbox: 0.316184 loss_dfl: 0.197526 loss: 1.368910 eta: 1 day, 3:39:49 batch_cost: 2.1188 data_cost: 0.0049 ips: 30.2057 images/s [10/17 18:42:42] ppdet.engine INFO: Epoch: [102] [200/229] learning_rate: 0.294744 loss_vfl: 0.870422 loss_bbox: 0.302833 loss_dfl: 0.197035 loss: 1.362089 eta: 1 day, 3:39:00 batch_cost: 2.0920 data_cost: 0.0029 ips: 30.5932 images/s [10/17 18:43:20] ppdet.engine INFO: Epoch: [102] [220/229] learning_rate: 0.294583 loss_vfl: 0.833173 loss_bbox: 0.333280 loss_dfl: 0.201050 loss: 1.383152 eta: 1 day, 3:38:00 batch_cost: 1.7730 data_cost: 0.0026 ips: 36.0961 images/s [10/17 18:44:04] ppdet.engine INFO: Epoch: [103] [ 0/229] learning_rate: 0.294510 loss_vfl: 0.834720 loss_bbox: 0.325120 loss_dfl: 0.194412 loss: 1.365308 eta: 1 day, 3:38:18 batch_cost: 2.7797 data_cost: 1.0332 ips: 23.0243 images/s [10/17 18:44:50] ppdet.engine INFO: Epoch: [103] [ 20/229] learning_rate: 0.294349 loss_vfl: 0.847029 loss_bbox: 0.317989 loss_dfl: 0.206586 loss: 1.361543 eta: 1 day, 3:37:32 batch_cost: 2.1564 data_cost: 0.0030 ips: 29.6788 images/s [10/17 18:45:37] ppdet.engine INFO: Epoch: [103] [ 40/229] learning_rate: 0.294188 loss_vfl: 0.841112 loss_bbox: 0.288376 loss_dfl: 0.187306 loss: 1.341594 eta: 1 day, 3:36:45 batch_cost: 2.1325 data_cost: 0.0040 ips: 30.0117 images/s [10/17 18:46:24] ppdet.engine INFO: Epoch: [103] [ 60/229] learning_rate: 0.294026 loss_vfl: 0.850389 loss_bbox: 0.311528 loss_dfl: 0.194542 loss: 1.358597 eta: 1 day, 3:35:59 batch_cost: 2.1535 data_cost: 0.0049 ips: 29.7189 images/s [10/17 18:47:11] ppdet.engine INFO: Epoch: [103] [ 80/229] learning_rate: 0.293865 loss_vfl: 0.855762 loss_bbox: 0.324956 loss_dfl: 0.193989 loss: 1.392590 eta: 1 day, 3:35:13 batch_cost: 2.1730 data_cost: 0.0036 ips: 29.4524 images/s [10/17 18:47:59] ppdet.engine INFO: Epoch: [103] [100/229] learning_rate: 0.293703 loss_vfl: 0.858777 loss_bbox: 0.312121 loss_dfl: 0.193355 loss: 1.353610 eta: 1 day, 3:34:29 batch_cost: 2.2015 data_cost: 0.0048 ips: 29.0705 images/s [10/17 18:48:46] ppdet.engine INFO: Epoch: [103] [120/229] learning_rate: 0.293542 loss_vfl: 0.863862 loss_bbox: 0.306179 loss_dfl: 0.194702 loss: 1.377083 eta: 1 day, 3:33:44 batch_cost: 2.1843 data_cost: 0.0042 ips: 29.3005 images/s [10/17 18:49:33] ppdet.engine INFO: Epoch: [103] [140/229] learning_rate: 0.293380 loss_vfl: 0.835884 loss_bbox: 0.330880 loss_dfl: 0.203644 loss: 1.387272 eta: 1 day, 3:32:58 batch_cost: 2.1615 data_cost: 0.0030 ips: 29.6088 images/s [10/17 18:50:19] ppdet.engine INFO: Epoch: [103] [160/229] learning_rate: 0.293218 loss_vfl: 0.838279 loss_bbox: 0.315807 loss_dfl: 0.199265 loss: 1.346127 eta: 1 day, 3:32:11 batch_cost: 2.1108 data_cost: 0.0038 ips: 30.3206 images/s [10/17 18:51:06] ppdet.engine INFO: Epoch: [103] [180/229] learning_rate: 0.293056 loss_vfl: 0.846958 loss_bbox: 0.318369 loss_dfl: 0.199652 loss: 1.361549 eta: 1 day, 3:31:26 batch_cost: 2.1766 data_cost: 0.0058 ips: 29.4040 images/s [10/17 18:51:54] ppdet.engine INFO: Epoch: [103] [200/229] learning_rate: 0.292894 loss_vfl: 0.828216 loss_bbox: 0.359011 loss_dfl: 0.209169 loss: 1.380780 eta: 1 day, 3:30:41 batch_cost: 2.2029 data_cost: 0.0032 ips: 29.0522 images/s [10/17 18:52:32] ppdet.engine INFO: Epoch: [103] [220/229] learning_rate: 0.292732 loss_vfl: 0.852722 loss_bbox: 0.303144 loss_dfl: 0.195176 loss: 1.372124 eta: 1 day, 3:29:41 batch_cost: 1.7813 data_cost: 0.0033 ips: 35.9280 images/s [10/17 18:53:16] ppdet.engine INFO: Epoch: [104] [ 0/229] learning_rate: 0.292659 loss_vfl: 0.855421 loss_bbox: 0.304039 loss_dfl: 0.194653 loss: 1.370362 eta: 1 day, 3:29:58 batch_cost: 2.7876 data_cost: 0.6775 ips: 22.9585 images/s [10/17 18:54:03] ppdet.engine INFO: Epoch: [104] [ 20/229] learning_rate: 0.292497 loss_vfl: 0.833228 loss_bbox: 0.304189 loss_dfl: 0.192672 loss: 1.338903 eta: 1 day, 3:29:13 batch_cost: 2.2000 data_cost: 0.0031 ips: 29.0903 images/s [10/17 18:54:50] ppdet.engine INFO: Epoch: [104] [ 40/229] learning_rate: 0.292335 loss_vfl: 0.856666 loss_bbox: 0.326046 loss_dfl: 0.206454 loss: 1.373620 eta: 1 day, 3:28:28 batch_cost: 2.1611 data_cost: 0.0060 ips: 29.6140 images/s [10/17 18:55:37] ppdet.engine INFO: Epoch: [104] [ 60/229] learning_rate: 0.292173 loss_vfl: 0.843271 loss_bbox: 0.313541 loss_dfl: 0.196765 loss: 1.346043 eta: 1 day, 3:27:43 batch_cost: 2.1921 data_cost: 0.0034 ips: 29.1962 images/s [10/17 18:56:25] ppdet.engine INFO: Epoch: [104] [ 80/229] learning_rate: 0.292010 loss_vfl: 0.835667 loss_bbox: 0.317887 loss_dfl: 0.194279 loss: 1.357817 eta: 1 day, 3:27:00 batch_cost: 2.2212 data_cost: 0.0040 ips: 28.8128 images/s [10/17 18:57:12] ppdet.engine INFO: Epoch: [104] [100/229] learning_rate: 0.291848 loss_vfl: 0.834734 loss_bbox: 0.341752 loss_dfl: 0.204661 loss: 1.388302 eta: 1 day, 3:26:14 batch_cost: 2.1665 data_cost: 0.0035 ips: 29.5406 images/s [10/17 18:57:59] ppdet.engine INFO: Epoch: [104] [120/229] learning_rate: 0.291685 loss_vfl: 0.863883 loss_bbox: 0.317268 loss_dfl: 0.202854 loss: 1.374673 eta: 1 day, 3:25:28 batch_cost: 2.1531 data_cost: 0.0047 ips: 29.7249 images/s [10/17 18:58:46] ppdet.engine INFO: Epoch: [104] [140/229] learning_rate: 0.291523 loss_vfl: 0.849406 loss_bbox: 0.320747 loss_dfl: 0.211869 loss: 1.367717 eta: 1 day, 3:24:41 batch_cost: 2.1215 data_cost: 0.0043 ips: 30.1675 images/s [10/17 18:59:33] ppdet.engine INFO: Epoch: [104] [160/229] learning_rate: 0.291360 loss_vfl: 0.861265 loss_bbox: 0.301052 loss_dfl: 0.191745 loss: 1.347720 eta: 1 day, 3:23:55 batch_cost: 2.1612 data_cost: 0.0040 ips: 29.6131 images/s [10/17 19:00:20] ppdet.engine INFO: Epoch: [104] [180/229] learning_rate: 0.291197 loss_vfl: 0.854534 loss_bbox: 0.304252 loss_dfl: 0.195886 loss: 1.347382 eta: 1 day, 3:23:11 batch_cost: 2.2093 data_cost: 0.0051 ips: 28.9680 images/s [10/17 19:01:06] ppdet.engine INFO: Epoch: [104] [200/229] learning_rate: 0.291034 loss_vfl: 0.844607 loss_bbox: 0.320859 loss_dfl: 0.200137 loss: 1.375291 eta: 1 day, 3:22:23 batch_cost: 2.0970 data_cost: 0.0039 ips: 30.5205 images/s [10/17 19:01:45] ppdet.engine INFO: Epoch: [104] [220/229] learning_rate: 0.290871 loss_vfl: 0.851014 loss_bbox: 0.306556 loss_dfl: 0.191260 loss: 1.348187 eta: 1 day, 3:21:23 batch_cost: 1.7805 data_cost: 0.0021 ips: 35.9455 images/s [10/17 19:02:27] ppdet.engine INFO: Epoch: [105] [ 0/229] learning_rate: 0.290798 loss_vfl: 0.842898 loss_bbox: 0.310539 loss_dfl: 0.192827 loss: 1.339177 eta: 1 day, 3:21:36 batch_cost: 2.6927 data_cost: 1.0849 ips: 23.7681 images/s [10/17 19:03:15] ppdet.engine INFO: Epoch: [105] [ 20/229] learning_rate: 0.290635 loss_vfl: 0.852237 loss_bbox: 0.319094 loss_dfl: 0.201426 loss: 1.385869 eta: 1 day, 3:20:54 batch_cost: 2.2474 data_cost: 0.0035 ips: 28.4768 images/s [10/17 19:04:02] ppdet.engine INFO: Epoch: [105] [ 40/229] learning_rate: 0.290472 loss_vfl: 0.842956 loss_bbox: 0.296114 loss_dfl: 0.195382 loss: 1.341163 eta: 1 day, 3:20:06 batch_cost: 2.1077 data_cost: 0.0032 ips: 30.3651 images/s [10/17 19:04:50] ppdet.engine INFO: Epoch: [105] [ 60/229] learning_rate: 0.290309 loss_vfl: 0.844701 loss_bbox: 0.330583 loss_dfl: 0.207900 loss: 1.377300 eta: 1 day, 3:19:23 batch_cost: 2.2528 data_cost: 0.0057 ips: 28.4093 images/s [10/17 19:05:38] ppdet.engine INFO: Epoch: [105] [ 80/229] learning_rate: 0.290146 loss_vfl: 0.834568 loss_bbox: 0.319667 loss_dfl: 0.195167 loss: 1.353784 eta: 1 day, 3:18:40 batch_cost: 2.2244 data_cost: 0.0036 ips: 28.7716 images/s [10/17 19:06:25] ppdet.engine INFO: Epoch: [105] [100/229] learning_rate: 0.289982 loss_vfl: 0.851124 loss_bbox: 0.311231 loss_dfl: 0.192314 loss: 1.341011 eta: 1 day, 3:17:52 batch_cost: 2.1115 data_cost: 0.0024 ips: 30.3099 images/s [10/17 19:07:12] ppdet.engine INFO: Epoch: [105] [120/229] learning_rate: 0.289819 loss_vfl: 0.851803 loss_bbox: 0.315226 loss_dfl: 0.193144 loss: 1.372602 eta: 1 day, 3:17:06 batch_cost: 2.1531 data_cost: 0.0034 ips: 29.7246 images/s [10/17 19:08:00] ppdet.engine INFO: Epoch: [105] [140/229] learning_rate: 0.289655 loss_vfl: 0.838188 loss_bbox: 0.324670 loss_dfl: 0.211103 loss: 1.380127 eta: 1 day, 3:16:22 batch_cost: 2.2053 data_cost: 0.0026 ips: 29.0214 images/s [10/17 19:08:48] ppdet.engine INFO: Epoch: [105] [160/229] learning_rate: 0.289492 loss_vfl: 0.851511 loss_bbox: 0.309381 loss_dfl: 0.193835 loss: 1.365346 eta: 1 day, 3:15:39 batch_cost: 2.2328 data_cost: 0.0049 ips: 28.6634 images/s [10/17 19:09:35] ppdet.engine INFO: Epoch: [105] [180/229] learning_rate: 0.289328 loss_vfl: 0.853960 loss_bbox: 0.308896 loss_dfl: 0.189868 loss: 1.348500 eta: 1 day, 3:14:53 batch_cost: 2.1421 data_cost: 0.0037 ips: 29.8772 images/s [10/17 19:10:22] ppdet.engine INFO: Epoch: [105] [200/229] learning_rate: 0.289165 loss_vfl: 0.853424 loss_bbox: 0.319398 loss_dfl: 0.197844 loss: 1.382570 eta: 1 day, 3:14:08 batch_cost: 2.1933 data_cost: 0.0049 ips: 29.1798 images/s [10/17 19:10:59] ppdet.engine INFO: Epoch: [105] [220/229] learning_rate: 0.289001 loss_vfl: 0.862781 loss_bbox: 0.312899 loss_dfl: 0.197230 loss: 1.390331 eta: 1 day, 3:13:05 batch_cost: 1.6954 data_cost: 0.0020 ips: 37.7489 images/s [10/17 19:11:41] ppdet.engine INFO: Epoch: [106] [ 0/229] learning_rate: 0.288927 loss_vfl: 0.859051 loss_bbox: 0.322349 loss_dfl: 0.202610 loss: 1.384062 eta: 1 day, 3:13:17 batch_cost: 2.6064 data_cost: 0.9096 ips: 24.5547 images/s [10/17 19:12:28] ppdet.engine INFO: Epoch: [106] [ 20/229] learning_rate: 0.288763 loss_vfl: 0.839435 loss_bbox: 0.322782 loss_dfl: 0.198619 loss: 1.382904 eta: 1 day, 3:12:30 batch_cost: 2.1271 data_cost: 0.0037 ips: 30.0873 images/s [10/17 19:13:14] ppdet.engine INFO: Epoch: [106] [ 40/229] learning_rate: 0.288599 loss_vfl: 0.847823 loss_bbox: 0.315697 loss_dfl: 0.197643 loss: 1.369815 eta: 1 day, 3:11:43 batch_cost: 2.1439 data_cost: 0.0039 ips: 29.8518 images/s [10/17 19:14:02] ppdet.engine INFO: Epoch: [106] [ 60/229] learning_rate: 0.288435 loss_vfl: 0.856579 loss_bbox: 0.322004 loss_dfl: 0.205694 loss: 1.395466 eta: 1 day, 3:10:59 batch_cost: 2.2042 data_cost: 0.0041 ips: 29.0352 images/s [10/17 19:14:49] ppdet.engine INFO: Epoch: [106] [ 80/229] learning_rate: 0.288271 loss_vfl: 0.834584 loss_bbox: 0.336407 loss_dfl: 0.202720 loss: 1.369321 eta: 1 day, 3:10:14 batch_cost: 2.1854 data_cost: 0.0016 ips: 29.2850 images/s [10/17 19:15:36] ppdet.engine INFO: Epoch: [106] [100/229] learning_rate: 0.288107 loss_vfl: 0.842331 loss_bbox: 0.312820 loss_dfl: 0.202539 loss: 1.364221 eta: 1 day, 3:09:28 batch_cost: 2.1524 data_cost: 0.0047 ips: 29.7343 images/s [10/17 19:16:22] ppdet.engine INFO: Epoch: [106] [120/229] learning_rate: 0.287943 loss_vfl: 0.849764 loss_bbox: 0.334380 loss_dfl: 0.207015 loss: 1.393472 eta: 1 day, 3:08:39 batch_cost: 2.0702 data_cost: 0.0056 ips: 30.9156 images/s [10/17 19:17:10] ppdet.engine INFO: Epoch: [106] [140/229] learning_rate: 0.287778 loss_vfl: 0.846006 loss_bbox: 0.325048 loss_dfl: 0.203403 loss: 1.381120 eta: 1 day, 3:07:53 batch_cost: 2.1478 data_cost: 0.0074 ips: 29.7979 images/s [10/17 19:17:56] ppdet.engine INFO: Epoch: [106] [160/229] learning_rate: 0.287614 loss_vfl: 0.831841 loss_bbox: 0.314689 loss_dfl: 0.197286 loss: 1.346078 eta: 1 day, 3:07:07 batch_cost: 2.1426 data_cost: 0.0064 ips: 29.8705 images/s [10/17 19:18:42] ppdet.engine INFO: Epoch: [106] [180/229] learning_rate: 0.287449 loss_vfl: 0.869300 loss_bbox: 0.319632 loss_dfl: 0.201878 loss: 1.381697 eta: 1 day, 3:06:20 batch_cost: 2.1473 data_cost: 0.0022 ips: 29.8047 images/s [10/17 19:19:29] ppdet.engine INFO: Epoch: [106] [200/229] learning_rate: 0.287285 loss_vfl: 0.843020 loss_bbox: 0.322451 loss_dfl: 0.196371 loss: 1.366220 eta: 1 day, 3:05:35 batch_cost: 2.1695 data_cost: 0.0053 ips: 29.4994 images/s [10/17 19:20:08] ppdet.engine INFO: Epoch: [106] [220/229] learning_rate: 0.287120 loss_vfl: 0.856076 loss_bbox: 0.306397 loss_dfl: 0.200780 loss: 1.377964 eta: 1 day, 3:04:34 batch_cost: 1.7501 data_cost: 0.0029 ips: 36.5700 images/s [10/17 19:20:50] ppdet.engine INFO: Epoch: [107] [ 0/229] learning_rate: 0.287046 loss_vfl: 0.868354 loss_bbox: 0.300785 loss_dfl: 0.199779 loss: 1.391450 eta: 1 day, 3:04:46 batch_cost: 2.6532 data_cost: 1.0877 ips: 24.1219 images/s [10/17 19:21:38] ppdet.engine INFO: Epoch: [107] [ 20/229] learning_rate: 0.286882 loss_vfl: 0.846233 loss_bbox: 0.306666 loss_dfl: 0.198679 loss: 1.352959 eta: 1 day, 3:04:02 batch_cost: 2.2156 data_cost: 0.0031 ips: 28.8865 images/s [10/17 19:22:25] ppdet.engine INFO: Epoch: [107] [ 40/229] learning_rate: 0.286717 loss_vfl: 0.852793 loss_bbox: 0.330999 loss_dfl: 0.209165 loss: 1.368471 eta: 1 day, 3:03:17 batch_cost: 2.1816 data_cost: 0.0058 ips: 29.3369 images/s [10/17 19:23:13] ppdet.engine INFO: Epoch: [107] [ 60/229] learning_rate: 0.286552 loss_vfl: 0.860521 loss_bbox: 0.307802 loss_dfl: 0.199289 loss: 1.384265 eta: 1 day, 3:02:33 batch_cost: 2.2099 data_cost: 0.0036 ips: 28.9611 images/s [10/17 19:24:00] ppdet.engine INFO: Epoch: [107] [ 80/229] learning_rate: 0.286387 loss_vfl: 0.852007 loss_bbox: 0.317881 loss_dfl: 0.200279 loss: 1.368799 eta: 1 day, 3:01:48 batch_cost: 2.1824 data_cost: 0.0042 ips: 29.3259 images/s [10/17 19:24:47] ppdet.engine INFO: Epoch: [107] [100/229] learning_rate: 0.286222 loss_vfl: 0.836106 loss_bbox: 0.318994 loss_dfl: 0.192702 loss: 1.358361 eta: 1 day, 3:01:04 batch_cost: 2.1968 data_cost: 0.0027 ips: 29.1331 images/s [10/17 19:25:33] ppdet.engine INFO: Epoch: [107] [120/229] learning_rate: 0.286057 loss_vfl: 0.839134 loss_bbox: 0.331077 loss_dfl: 0.200557 loss: 1.353721 eta: 1 day, 3:00:17 batch_cost: 2.1295 data_cost: 0.0046 ips: 30.0536 images/s [10/17 19:26:21] ppdet.engine INFO: Epoch: [107] [140/229] learning_rate: 0.285892 loss_vfl: 0.849012 loss_bbox: 0.337900 loss_dfl: 0.202271 loss: 1.382041 eta: 1 day, 2:59:34 batch_cost: 2.2411 data_cost: 0.0040 ips: 28.5568 images/s [10/17 19:27:09] ppdet.engine INFO: Epoch: [107] [160/229] learning_rate: 0.285726 loss_vfl: 0.840065 loss_bbox: 0.334515 loss_dfl: 0.208007 loss: 1.386776 eta: 1 day, 2:58:51 batch_cost: 2.2410 data_cost: 0.0031 ips: 28.5582 images/s [10/17 19:27:56] ppdet.engine INFO: Epoch: [107] [180/229] learning_rate: 0.285561 loss_vfl: 0.853976 loss_bbox: 0.276894 loss_dfl: 0.184354 loss: 1.315235 eta: 1 day, 2:58:06 batch_cost: 2.1709 data_cost: 0.0064 ips: 29.4804 images/s [10/17 19:28:43] ppdet.engine INFO: Epoch: [107] [200/229] learning_rate: 0.285396 loss_vfl: 0.863498 loss_bbox: 0.311716 loss_dfl: 0.196257 loss: 1.373358 eta: 1 day, 2:57:21 batch_cost: 2.1915 data_cost: 0.0030 ips: 29.2032 images/s [10/17 19:29:21] ppdet.engine INFO: Epoch: [107] [220/229] learning_rate: 0.285230 loss_vfl: 0.845520 loss_bbox: 0.324888 loss_dfl: 0.197684 loss: 1.363142 eta: 1 day, 2:56:19 batch_cost: 1.7038 data_cost: 0.0026 ips: 37.5622 images/s [10/17 19:30:04] ppdet.engine INFO: Epoch: [108] [ 0/229] learning_rate: 0.285156 loss_vfl: 0.857931 loss_bbox: 0.323021 loss_dfl: 0.197846 loss: 1.364163 eta: 1 day, 2:56:33 batch_cost: 2.7023 data_cost: 0.9999 ips: 23.6835 images/s [10/17 19:30:51] ppdet.engine INFO: Epoch: [108] [ 20/229] learning_rate: 0.284990 loss_vfl: 0.858627 loss_bbox: 0.310502 loss_dfl: 0.190255 loss: 1.345512 eta: 1 day, 2:55:47 batch_cost: 2.1692 data_cost: 0.0029 ips: 29.5042 images/s [10/17 19:31:38] ppdet.engine INFO: Epoch: [108] [ 40/229] learning_rate: 0.284825 loss_vfl: 0.846830 loss_bbox: 0.299256 loss_dfl: 0.196623 loss: 1.349597 eta: 1 day, 2:55:01 batch_cost: 2.1308 data_cost: 0.0040 ips: 30.0357 images/s [10/17 19:32:25] ppdet.engine INFO: Epoch: [108] [ 60/229] learning_rate: 0.284659 loss_vfl: 0.863623 loss_bbox: 0.291031 loss_dfl: 0.197009 loss: 1.350302 eta: 1 day, 2:54:16 batch_cost: 2.2035 data_cost: 0.0068 ips: 29.0449 images/s [10/17 19:33:11] ppdet.engine INFO: Epoch: [108] [ 80/229] learning_rate: 0.284493 loss_vfl: 0.837283 loss_bbox: 0.328355 loss_dfl: 0.208263 loss: 1.385490 eta: 1 day, 2:53:28 batch_cost: 2.0835 data_cost: 0.0057 ips: 30.7177 images/s [10/17 19:33:58] ppdet.engine INFO: Epoch: [108] [100/229] learning_rate: 0.284327 loss_vfl: 0.858689 loss_bbox: 0.327202 loss_dfl: 0.196133 loss: 1.369325 eta: 1 day, 2:52:42 batch_cost: 2.1569 data_cost: 0.0058 ips: 29.6724 images/s [10/17 19:34:44] ppdet.engine INFO: Epoch: [108] [120/229] learning_rate: 0.284162 loss_vfl: 0.835713 loss_bbox: 0.321595 loss_dfl: 0.200687 loss: 1.354773 eta: 1 day, 2:51:56 batch_cost: 2.1518 data_cost: 0.0028 ips: 29.7429 images/s [10/17 19:35:32] ppdet.engine INFO: Epoch: [108] [140/229] learning_rate: 0.283996 loss_vfl: 0.850088 loss_bbox: 0.310102 loss_dfl: 0.196339 loss: 1.340410 eta: 1 day, 2:51:10 batch_cost: 2.1401 data_cost: 0.0036 ips: 29.9057 images/s [10/17 19:36:18] ppdet.engine INFO: Epoch: [108] [160/229] learning_rate: 0.283830 loss_vfl: 0.855125 loss_bbox: 0.307384 loss_dfl: 0.196714 loss: 1.360448 eta: 1 day, 2:50:25 batch_cost: 2.1745 data_cost: 0.0024 ips: 29.4317 images/s [10/17 19:37:06] ppdet.engine INFO: Epoch: [108] [180/229] learning_rate: 0.283663 loss_vfl: 0.847972 loss_bbox: 0.309553 loss_dfl: 0.197413 loss: 1.359252 eta: 1 day, 2:49:41 batch_cost: 2.2205 data_cost: 0.0054 ips: 28.8224 images/s [10/17 19:37:52] ppdet.engine INFO: Epoch: [108] [200/229] learning_rate: 0.283497 loss_vfl: 0.853368 loss_bbox: 0.324482 loss_dfl: 0.197701 loss: 1.366534 eta: 1 day, 2:48:55 batch_cost: 2.1590 data_cost: 0.0020 ips: 29.6434 images/s [10/17 19:38:30] ppdet.engine INFO: Epoch: [108] [220/229] learning_rate: 0.283331 loss_vfl: 0.827595 loss_bbox: 0.309451 loss_dfl: 0.191946 loss: 1.318213 eta: 1 day, 2:47:53 batch_cost: 1.7017 data_cost: 0.0048 ips: 37.6094 images/s [10/17 19:39:14] ppdet.engine INFO: Epoch: [109] [ 0/229] learning_rate: 0.283256 loss_vfl: 0.843332 loss_bbox: 0.315693 loss_dfl: 0.193288 loss: 1.363285 eta: 1 day, 2:48:05 batch_cost: 2.7029 data_cost: 0.8172 ips: 23.6786 images/s [10/17 19:40:01] ppdet.engine INFO: Epoch: [109] [ 20/229] learning_rate: 0.283090 loss_vfl: 0.830414 loss_bbox: 0.331729 loss_dfl: 0.207335 loss: 1.370979 eta: 1 day, 2:47:18 batch_cost: 2.1165 data_cost: 0.0038 ips: 30.2380 images/s [10/17 19:40:49] ppdet.engine INFO: Epoch: [109] [ 40/229] learning_rate: 0.282923 loss_vfl: 0.843626 loss_bbox: 0.304255 loss_dfl: 0.198497 loss: 1.365321 eta: 1 day, 2:46:35 batch_cost: 2.2279 data_cost: 0.0032 ips: 28.7270 images/s [10/17 19:41:36] ppdet.engine INFO: Epoch: [109] [ 60/229] learning_rate: 0.282757 loss_vfl: 0.839444 loss_bbox: 0.305982 loss_dfl: 0.204186 loss: 1.368047 eta: 1 day, 2:45:48 batch_cost: 2.1417 data_cost: 0.0053 ips: 29.8834 images/s [10/17 19:42:24] ppdet.engine INFO: Epoch: [109] [ 80/229] learning_rate: 0.282590 loss_vfl: 0.843402 loss_bbox: 0.322329 loss_dfl: 0.201256 loss: 1.373485 eta: 1 day, 2:45:04 batch_cost: 2.2003 data_cost: 0.0015 ips: 29.0870 images/s [10/17 19:43:11] ppdet.engine INFO: Epoch: [109] [100/229] learning_rate: 0.282424 loss_vfl: 0.841563 loss_bbox: 0.324235 loss_dfl: 0.193034 loss: 1.354582 eta: 1 day, 2:44:19 batch_cost: 2.1871 data_cost: 0.0018 ips: 29.2625 images/s [10/17 19:43:58] ppdet.engine INFO: Epoch: [109] [120/229] learning_rate: 0.282257 loss_vfl: 0.843912 loss_bbox: 0.332666 loss_dfl: 0.209101 loss: 1.381999 eta: 1 day, 2:43:34 batch_cost: 2.1794 data_cost: 0.0130 ips: 29.3658 images/s [10/17 19:44:46] ppdet.engine INFO: Epoch: [109] [140/229] learning_rate: 0.282090 loss_vfl: 0.834582 loss_bbox: 0.334373 loss_dfl: 0.208126 loss: 1.370050 eta: 1 day, 2:42:50 batch_cost: 2.1960 data_cost: 0.0024 ips: 29.1442 images/s [10/17 19:45:33] ppdet.engine INFO: Epoch: [109] [160/229] learning_rate: 0.281923 loss_vfl: 0.825762 loss_bbox: 0.319274 loss_dfl: 0.203080 loss: 1.338657 eta: 1 day, 2:42:05 batch_cost: 2.1956 data_cost: 0.0044 ips: 29.1491 images/s [10/17 19:46:20] ppdet.engine INFO: Epoch: [109] [180/229] learning_rate: 0.281757 loss_vfl: 0.867729 loss_bbox: 0.335292 loss_dfl: 0.204671 loss: 1.406933 eta: 1 day, 2:41:20 batch_cost: 2.1569 data_cost: 0.0061 ips: 29.6728 images/s [10/17 19:47:07] ppdet.engine INFO: Epoch: [109] [200/229] learning_rate: 0.281590 loss_vfl: 0.837690 loss_bbox: 0.307941 loss_dfl: 0.201676 loss: 1.381353 eta: 1 day, 2:40:33 batch_cost: 2.1478 data_cost: 0.0030 ips: 29.7981 images/s [10/17 19:47:46] ppdet.engine INFO: Epoch: [109] [220/229] learning_rate: 0.281423 loss_vfl: 0.867246 loss_bbox: 0.311377 loss_dfl: 0.205135 loss: 1.381803 eta: 1 day, 2:39:36 batch_cost: 1.8074 data_cost: 0.0016 ips: 35.4103 images/s [10/17 19:48:00] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 19:48:01] ppdet.engine INFO: Eval iter: 0 [10/17 19:48:43] ppdet.engine INFO: Eval iter: 100 [10/17 19:48:57] ppdet.engine INFO: Eval iter: 200 [10/17 19:49:12] ppdet.engine INFO: Eval iter: 300 [10/17 19:49:27] ppdet.engine INFO: Eval iter: 400 [10/17 19:49:42] ppdet.engine INFO: Eval iter: 500 [10/17 19:49:57] ppdet.engine INFO: Eval iter: 600 [10/17 19:50:09] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.51s) creating index... index created! [10/17 19:50:10] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.82s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.29s). Accumulating evaluation results... DONE (t=11.53s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.294 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.438 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.308 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.091 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 ] = 0.505 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 ] = 0.417 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 ] = 0.150 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711 [10/17 19:51:31] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.88112458103174 [10/17 19:51:31] ppdet.engine INFO: Best test bbox ap is 0.294. [10/17 19:51:31] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 19:51:33] ppdet.engine INFO: Epoch: [110] [ 0/229] learning_rate: 0.281347 loss_vfl: 0.851890 loss_bbox: 0.316839 loss_dfl: 0.200273 loss: 1.370125 eta: 1 day, 2:38:58 batch_cost: 1.2981 data_cost: 0.0012 ips: 49.3027 images/s [10/17 19:52:19] ppdet.engine INFO: Epoch: [110] [ 20/229] learning_rate: 0.281180 loss_vfl: 0.828185 loss_bbox: 0.323179 loss_dfl: 0.203533 loss: 1.344882 eta: 1 day, 2:38:12 batch_cost: 2.1262 data_cost: 0.0038 ips: 30.1010 images/s [10/17 19:53:06] ppdet.engine INFO: Epoch: [110] [ 40/229] learning_rate: 0.281013 loss_vfl: 0.846844 loss_bbox: 0.315057 loss_dfl: 0.201559 loss: 1.373424 eta: 1 day, 2:37:26 batch_cost: 2.1672 data_cost: 0.0046 ips: 29.5313 images/s [10/17 19:53:53] ppdet.engine INFO: Epoch: [110] [ 60/229] learning_rate: 0.280846 loss_vfl: 0.862595 loss_bbox: 0.292152 loss_dfl: 0.196613 loss: 1.365124 eta: 1 day, 2:36:43 batch_cost: 2.2214 data_cost: 0.0036 ips: 28.8110 images/s [10/17 19:54:40] ppdet.engine INFO: Epoch: [110] [ 80/229] learning_rate: 0.280678 loss_vfl: 0.857725 loss_bbox: 0.306513 loss_dfl: 0.192898 loss: 1.348237 eta: 1 day, 2:35:56 batch_cost: 2.1416 data_cost: 0.0046 ips: 29.8837 images/s [10/17 19:55:26] ppdet.engine INFO: Epoch: [110] [100/229] learning_rate: 0.280511 loss_vfl: 0.835172 loss_bbox: 0.310317 loss_dfl: 0.193024 loss: 1.347646 eta: 1 day, 2:35:10 batch_cost: 2.1390 data_cost: 0.0035 ips: 29.9210 images/s [10/17 19:56:13] ppdet.engine INFO: Epoch: [110] [120/229] learning_rate: 0.280343 loss_vfl: 0.837607 loss_bbox: 0.318736 loss_dfl: 0.201189 loss: 1.373658 eta: 1 day, 2:34:23 batch_cost: 2.1313 data_cost: 0.0062 ips: 30.0291 images/s [10/17 19:57:00] ppdet.engine INFO: Epoch: [110] [140/229] learning_rate: 0.280176 loss_vfl: 0.839758 loss_bbox: 0.315829 loss_dfl: 0.201905 loss: 1.375606 eta: 1 day, 2:33:36 batch_cost: 2.0985 data_cost: 0.0044 ips: 30.4980 images/s [10/17 19:57:46] ppdet.engine INFO: Epoch: [110] [160/229] learning_rate: 0.280008 loss_vfl: 0.855083 loss_bbox: 0.318009 loss_dfl: 0.201387 loss: 1.377173 eta: 1 day, 2:32:50 batch_cost: 2.1586 data_cost: 0.0081 ips: 29.6493 images/s [10/17 19:58:33] ppdet.engine INFO: Epoch: [110] [180/229] learning_rate: 0.279841 loss_vfl: 0.848336 loss_bbox: 0.311043 loss_dfl: 0.188685 loss: 1.355382 eta: 1 day, 2:32:03 batch_cost: 2.1302 data_cost: 0.0021 ips: 30.0443 images/s [10/17 19:59:19] ppdet.engine INFO: Epoch: [110] [200/229] learning_rate: 0.279673 loss_vfl: 0.842981 loss_bbox: 0.325442 loss_dfl: 0.195733 loss: 1.387899 eta: 1 day, 2:31:18 batch_cost: 2.1663 data_cost: 0.0031 ips: 29.5439 images/s [10/17 19:59:57] ppdet.engine INFO: Epoch: [110] [220/229] learning_rate: 0.279505 loss_vfl: 0.850535 loss_bbox: 0.300325 loss_dfl: 0.191192 loss: 1.354210 eta: 1 day, 2:30:19 batch_cost: 1.7554 data_cost: 0.0028 ips: 36.4589 images/s [10/17 20:00:40] ppdet.engine INFO: Epoch: [111] [ 0/229] learning_rate: 0.279430 loss_vfl: 0.862649 loss_bbox: 0.300691 loss_dfl: 0.194898 loss: 1.363070 eta: 1 day, 2:30:30 batch_cost: 2.6962 data_cost: 0.6725 ips: 23.7367 images/s [10/17 20:01:28] ppdet.engine INFO: Epoch: [111] [ 20/229] learning_rate: 0.279262 loss_vfl: 0.842319 loss_bbox: 0.319503 loss_dfl: 0.196298 loss: 1.355275 eta: 1 day, 2:29:46 batch_cost: 2.2294 data_cost: 0.0041 ips: 28.7071 images/s [10/17 20:02:15] ppdet.engine INFO: Epoch: [111] [ 40/229] learning_rate: 0.279094 loss_vfl: 0.830713 loss_bbox: 0.309682 loss_dfl: 0.190192 loss: 1.335124 eta: 1 day, 2:29:01 batch_cost: 2.1712 data_cost: 0.0017 ips: 29.4770 images/s [10/17 20:03:02] ppdet.engine INFO: Epoch: [111] [ 60/229] learning_rate: 0.278926 loss_vfl: 0.845454 loss_bbox: 0.323914 loss_dfl: 0.201171 loss: 1.367116 eta: 1 day, 2:28:15 batch_cost: 2.1375 data_cost: 0.0036 ips: 29.9414 images/s [10/17 20:03:49] ppdet.engine INFO: Epoch: [111] [ 80/229] learning_rate: 0.278758 loss_vfl: 0.854246 loss_bbox: 0.293786 loss_dfl: 0.191735 loss: 1.347472 eta: 1 day, 2:27:30 batch_cost: 2.1941 data_cost: 0.0045 ips: 29.1695 images/s [10/17 20:04:36] ppdet.engine INFO: Epoch: [111] [100/229] learning_rate: 0.278589 loss_vfl: 0.846449 loss_bbox: 0.302896 loss_dfl: 0.188459 loss: 1.338560 eta: 1 day, 2:26:43 batch_cost: 2.1089 data_cost: 0.0031 ips: 30.3482 images/s [10/17 20:05:23] ppdet.engine INFO: Epoch: [111] [120/229] learning_rate: 0.278421 loss_vfl: 0.859290 loss_bbox: 0.317922 loss_dfl: 0.197892 loss: 1.351086 eta: 1 day, 2:25:57 batch_cost: 2.1461 data_cost: 0.0031 ips: 29.8217 images/s [10/17 20:06:10] ppdet.engine INFO: Epoch: [111] [140/229] learning_rate: 0.278253 loss_vfl: 0.837632 loss_bbox: 0.301712 loss_dfl: 0.194407 loss: 1.342899 eta: 1 day, 2:25:13 batch_cost: 2.2026 data_cost: 0.0036 ips: 29.0565 images/s [10/17 20:06:58] ppdet.engine INFO: Epoch: [111] [160/229] learning_rate: 0.278084 loss_vfl: 0.838087 loss_bbox: 0.337826 loss_dfl: 0.208691 loss: 1.369281 eta: 1 day, 2:24:29 batch_cost: 2.2169 data_cost: 0.0034 ips: 28.8693 images/s [10/17 20:07:46] ppdet.engine INFO: Epoch: [111] [180/229] learning_rate: 0.277916 loss_vfl: 0.856258 loss_bbox: 0.315014 loss_dfl: 0.202928 loss: 1.374197 eta: 1 day, 2:23:43 batch_cost: 2.1625 data_cost: 0.0056 ips: 29.5947 images/s [10/17 20:08:32] ppdet.engine INFO: Epoch: [111] [200/229] learning_rate: 0.277748 loss_vfl: 0.850502 loss_bbox: 0.315370 loss_dfl: 0.195441 loss: 1.357667 eta: 1 day, 2:22:57 batch_cost: 2.1308 data_cost: 0.0038 ips: 30.0351 images/s [10/17 20:09:10] ppdet.engine INFO: Epoch: [111] [220/229] learning_rate: 0.277579 loss_vfl: 0.847165 loss_bbox: 0.322383 loss_dfl: 0.210216 loss: 1.375111 eta: 1 day, 2:21:56 batch_cost: 1.6982 data_cost: 0.0036 ips: 37.6859 images/s [10/17 20:09:55] ppdet.engine INFO: Epoch: [112] [ 0/229] learning_rate: 0.277503 loss_vfl: 0.841988 loss_bbox: 0.323863 loss_dfl: 0.211171 loss: 1.390774 eta: 1 day, 2:22:10 batch_cost: 2.7711 data_cost: 1.1060 ips: 23.0953 images/s [10/17 20:10:42] ppdet.engine INFO: Epoch: [112] [ 20/229] learning_rate: 0.277334 loss_vfl: 0.840518 loss_bbox: 0.298458 loss_dfl: 0.192292 loss: 1.328379 eta: 1 day, 2:21:24 batch_cost: 2.1351 data_cost: 0.0063 ips: 29.9755 images/s [10/17 20:11:30] ppdet.engine INFO: Epoch: [112] [ 40/229] learning_rate: 0.277166 loss_vfl: 0.825180 loss_bbox: 0.336024 loss_dfl: 0.199883 loss: 1.337849 eta: 1 day, 2:20:39 batch_cost: 2.1854 data_cost: 0.0051 ips: 29.2852 images/s [10/17 20:12:17] ppdet.engine INFO: Epoch: [112] [ 60/229] learning_rate: 0.276997 loss_vfl: 0.843204 loss_bbox: 0.331581 loss_dfl: 0.202512 loss: 1.372437 eta: 1 day, 2:19:54 batch_cost: 2.1807 data_cost: 0.0043 ips: 29.3488 images/s [10/17 20:13:04] ppdet.engine INFO: Epoch: [112] [ 80/229] learning_rate: 0.276828 loss_vfl: 0.856588 loss_bbox: 0.337179 loss_dfl: 0.215526 loss: 1.411126 eta: 1 day, 2:19:08 batch_cost: 2.1379 data_cost: 0.0053 ips: 29.9353 images/s [10/17 20:13:51] ppdet.engine INFO: Epoch: [112] [100/229] learning_rate: 0.276659 loss_vfl: 0.858712 loss_bbox: 0.342154 loss_dfl: 0.208339 loss: 1.405621 eta: 1 day, 2:18:25 batch_cost: 2.2386 data_cost: 0.0051 ips: 28.5897 images/s [10/17 20:14:39] ppdet.engine INFO: Epoch: [112] [120/229] learning_rate: 0.276490 loss_vfl: 0.844307 loss_bbox: 0.338533 loss_dfl: 0.199554 loss: 1.385406 eta: 1 day, 2:17:39 batch_cost: 2.1701 data_cost: 0.0067 ips: 29.4916 images/s [10/17 20:15:25] ppdet.engine INFO: Epoch: [112] [140/229] learning_rate: 0.276321 loss_vfl: 0.855409 loss_bbox: 0.297376 loss_dfl: 0.194033 loss: 1.359591 eta: 1 day, 2:16:54 batch_cost: 2.1540 data_cost: 0.0041 ips: 29.7115 images/s [10/17 20:16:12] ppdet.engine INFO: Epoch: [112] [160/229] learning_rate: 0.276152 loss_vfl: 0.853865 loss_bbox: 0.301027 loss_dfl: 0.195114 loss: 1.352690 eta: 1 day, 2:16:08 batch_cost: 2.1480 data_cost: 0.0043 ips: 29.7949 images/s [10/17 20:16:58] ppdet.engine INFO: Epoch: [112] [180/229] learning_rate: 0.275983 loss_vfl: 0.831870 loss_bbox: 0.303021 loss_dfl: 0.199684 loss: 1.333130 eta: 1 day, 2:15:22 batch_cost: 2.1581 data_cost: 0.0028 ips: 29.6563 images/s [10/17 20:17:45] ppdet.engine INFO: Epoch: [112] [200/229] learning_rate: 0.275814 loss_vfl: 0.842901 loss_bbox: 0.302645 loss_dfl: 0.189597 loss: 1.339304 eta: 1 day, 2:14:36 batch_cost: 2.1426 data_cost: 0.0031 ips: 29.8708 images/s [10/17 20:18:23] ppdet.engine INFO: Epoch: [112] [220/229] learning_rate: 0.275644 loss_vfl: 0.846726 loss_bbox: 0.329279 loss_dfl: 0.207818 loss: 1.405673 eta: 1 day, 2:13:37 batch_cost: 1.7600 data_cost: 0.0048 ips: 36.3642 images/s [10/17 20:19:05] ppdet.engine INFO: Epoch: [113] [ 0/229] learning_rate: 0.275568 loss_vfl: 0.844792 loss_bbox: 0.303424 loss_dfl: 0.192690 loss: 1.346287 eta: 1 day, 2:13:44 batch_cost: 2.5915 data_cost: 0.8055 ips: 24.6960 images/s [10/17 20:19:53] ppdet.engine INFO: Epoch: [113] [ 20/229] learning_rate: 0.275399 loss_vfl: 0.853002 loss_bbox: 0.333290 loss_dfl: 0.208976 loss: 1.381401 eta: 1 day, 2:12:59 batch_cost: 2.1815 data_cost: 0.0065 ips: 29.3375 images/s [10/17 20:20:41] ppdet.engine INFO: Epoch: [113] [ 40/229] learning_rate: 0.275229 loss_vfl: 0.839963 loss_bbox: 0.321109 loss_dfl: 0.197519 loss: 1.366546 eta: 1 day, 2:12:15 batch_cost: 2.1940 data_cost: 0.0034 ips: 29.1707 images/s [10/17 20:21:28] ppdet.engine INFO: Epoch: [113] [ 60/229] learning_rate: 0.275060 loss_vfl: 0.838179 loss_bbox: 0.323847 loss_dfl: 0.200366 loss: 1.376328 eta: 1 day, 2:11:31 batch_cost: 2.2119 data_cost: 0.0059 ips: 28.9349 images/s [10/17 20:22:16] ppdet.engine INFO: Epoch: [113] [ 80/229] learning_rate: 0.274890 loss_vfl: 0.841085 loss_bbox: 0.307584 loss_dfl: 0.194653 loss: 1.337069 eta: 1 day, 2:10:45 batch_cost: 2.1432 data_cost: 0.0103 ips: 29.8625 images/s [10/17 20:23:03] ppdet.engine INFO: Epoch: [113] [100/229] learning_rate: 0.274721 loss_vfl: 0.836794 loss_bbox: 0.319889 loss_dfl: 0.205118 loss: 1.376233 eta: 1 day, 2:10:00 batch_cost: 2.1990 data_cost: 0.0033 ips: 29.1047 images/s [10/17 20:23:50] ppdet.engine INFO: Epoch: [113] [120/229] learning_rate: 0.274551 loss_vfl: 0.825066 loss_bbox: 0.301702 loss_dfl: 0.192187 loss: 1.323656 eta: 1 day, 2:09:13 batch_cost: 2.0969 data_cost: 0.0055 ips: 30.5206 images/s [10/17 20:24:38] ppdet.engine INFO: Epoch: [113] [140/229] learning_rate: 0.274381 loss_vfl: 0.848788 loss_bbox: 0.305030 loss_dfl: 0.190352 loss: 1.344567 eta: 1 day, 2:08:30 batch_cost: 2.2387 data_cost: 0.0025 ips: 28.5878 images/s [10/17 20:25:25] ppdet.engine INFO: Epoch: [113] [160/229] learning_rate: 0.274211 loss_vfl: 0.841056 loss_bbox: 0.316010 loss_dfl: 0.198540 loss: 1.363940 eta: 1 day, 2:07:46 batch_cost: 2.2086 data_cost: 0.0033 ips: 28.9779 images/s [10/17 20:26:12] ppdet.engine INFO: Epoch: [113] [180/229] learning_rate: 0.274041 loss_vfl: 0.850790 loss_bbox: 0.320671 loss_dfl: 0.194930 loss: 1.368832 eta: 1 day, 2:07:00 batch_cost: 2.1585 data_cost: 0.0065 ips: 29.6498 images/s [10/17 20:26:57] ppdet.engine INFO: Epoch: [113] [200/229] learning_rate: 0.273871 loss_vfl: 0.848981 loss_bbox: 0.300996 loss_dfl: 0.191335 loss: 1.330364 eta: 1 day, 2:06:12 batch_cost: 2.0843 data_cost: 0.0125 ips: 30.7052 images/s [10/17 20:27:35] ppdet.engine INFO: Epoch: [113] [220/229] learning_rate: 0.273701 loss_vfl: 0.852667 loss_bbox: 0.339285 loss_dfl: 0.209580 loss: 1.379548 eta: 1 day, 2:05:13 batch_cost: 1.7535 data_cost: 0.0049 ips: 36.4986 images/s [10/17 20:28:20] ppdet.engine INFO: Epoch: [114] [ 0/229] learning_rate: 0.273625 loss_vfl: 0.852557 loss_bbox: 0.303483 loss_dfl: 0.196662 loss: 1.353497 eta: 1 day, 2:05:25 batch_cost: 2.7549 data_cost: 1.2428 ips: 23.2309 images/s [10/17 20:29:07] ppdet.engine INFO: Epoch: [114] [ 20/229] learning_rate: 0.273455 loss_vfl: 0.856338 loss_bbox: 0.306615 loss_dfl: 0.195064 loss: 1.348894 eta: 1 day, 2:04:40 batch_cost: 2.1764 data_cost: 0.0022 ips: 29.4057 images/s [10/17 20:29:54] ppdet.engine INFO: Epoch: [114] [ 40/229] learning_rate: 0.273285 loss_vfl: 0.833859 loss_bbox: 0.292399 loss_dfl: 0.188401 loss: 1.321198 eta: 1 day, 2:03:53 batch_cost: 2.1029 data_cost: 0.0028 ips: 30.4336 images/s [10/17 20:30:40] ppdet.engine INFO: Epoch: [114] [ 60/229] learning_rate: 0.273114 loss_vfl: 0.847419 loss_bbox: 0.291065 loss_dfl: 0.197686 loss: 1.350727 eta: 1 day, 2:03:07 batch_cost: 2.1402 data_cost: 0.0043 ips: 29.9034 images/s [10/17 20:31:28] ppdet.engine INFO: Epoch: [114] [ 80/229] learning_rate: 0.272944 loss_vfl: 0.837039 loss_bbox: 0.314207 loss_dfl: 0.195241 loss: 1.337409 eta: 1 day, 2:02:21 batch_cost: 2.1670 data_cost: 0.0038 ips: 29.5336 images/s [10/17 20:32:14] ppdet.engine INFO: Epoch: [114] [100/229] learning_rate: 0.272774 loss_vfl: 0.847563 loss_bbox: 0.307973 loss_dfl: 0.194717 loss: 1.365138 eta: 1 day, 2:01:35 batch_cost: 2.1278 data_cost: 0.0020 ips: 30.0775 images/s [10/17 20:33:01] ppdet.engine INFO: Epoch: [114] [120/229] learning_rate: 0.272603 loss_vfl: 0.826131 loss_bbox: 0.312628 loss_dfl: 0.198530 loss: 1.349814 eta: 1 day, 2:00:51 batch_cost: 2.2081 data_cost: 0.0026 ips: 28.9839 images/s [10/17 20:33:49] ppdet.engine INFO: Epoch: [114] [140/229] learning_rate: 0.272433 loss_vfl: 0.849384 loss_bbox: 0.311585 loss_dfl: 0.202161 loss: 1.368665 eta: 1 day, 2:00:07 batch_cost: 2.2089 data_cost: 0.0074 ips: 28.9731 images/s [10/17 20:34:36] ppdet.engine INFO: Epoch: [114] [160/229] learning_rate: 0.272262 loss_vfl: 0.844486 loss_bbox: 0.318230 loss_dfl: 0.201749 loss: 1.363136 eta: 1 day, 1:59:23 batch_cost: 2.2045 data_cost: 0.0021 ips: 29.0313 images/s [10/17 20:35:23] ppdet.engine INFO: Epoch: [114] [180/229] learning_rate: 0.272092 loss_vfl: 0.853434 loss_bbox: 0.320044 loss_dfl: 0.203754 loss: 1.366214 eta: 1 day, 1:58:38 batch_cost: 2.1857 data_cost: 0.0066 ips: 29.2807 images/s [10/17 20:36:09] ppdet.engine INFO: Epoch: [114] [200/229] learning_rate: 0.271921 loss_vfl: 0.856343 loss_bbox: 0.331479 loss_dfl: 0.206721 loss: 1.377491 eta: 1 day, 1:57:50 batch_cost: 2.0946 data_cost: 0.0043 ips: 30.5552 images/s [10/17 20:36:46] ppdet.engine INFO: Epoch: [114] [220/229] learning_rate: 0.271750 loss_vfl: 0.835900 loss_bbox: 0.311028 loss_dfl: 0.196171 loss: 1.352827 eta: 1 day, 1:56:51 batch_cost: 1.7269 data_cost: 0.0026 ips: 37.0613 images/s [10/17 20:37:29] ppdet.engine INFO: Epoch: [115] [ 0/229] learning_rate: 0.271674 loss_vfl: 0.839280 loss_bbox: 0.309294 loss_dfl: 0.194008 loss: 1.353380 eta: 1 day, 1:56:59 batch_cost: 2.6625 data_cost: 0.7810 ips: 24.0376 images/s [10/17 20:38:17] ppdet.engine INFO: Epoch: [115] [ 20/229] learning_rate: 0.271503 loss_vfl: 0.843805 loss_bbox: 0.304925 loss_dfl: 0.191351 loss: 1.344892 eta: 1 day, 1:56:15 batch_cost: 2.1961 data_cost: 0.0026 ips: 29.1422 images/s [10/17 20:39:04] ppdet.engine INFO: Epoch: [115] [ 40/229] learning_rate: 0.271332 loss_vfl: 0.863404 loss_bbox: 0.308818 loss_dfl: 0.186891 loss: 1.335986 eta: 1 day, 1:55:29 batch_cost: 2.1544 data_cost: 0.0060 ips: 29.7068 images/s [10/17 20:39:51] ppdet.engine INFO: Epoch: [115] [ 60/229] learning_rate: 0.271161 loss_vfl: 0.842015 loss_bbox: 0.334307 loss_dfl: 0.205129 loss: 1.375197 eta: 1 day, 1:54:45 batch_cost: 2.2159 data_cost: 0.0035 ips: 28.8816 images/s [10/17 20:40:38] ppdet.engine INFO: Epoch: [115] [ 80/229] learning_rate: 0.270990 loss_vfl: 0.833340 loss_bbox: 0.318764 loss_dfl: 0.199786 loss: 1.362971 eta: 1 day, 1:54:00 batch_cost: 2.1565 data_cost: 0.0053 ips: 29.6771 images/s [10/17 20:41:26] ppdet.engine INFO: Epoch: [115] [100/229] learning_rate: 0.270819 loss_vfl: 0.834105 loss_bbox: 0.322640 loss_dfl: 0.197059 loss: 1.362694 eta: 1 day, 1:53:16 batch_cost: 2.2145 data_cost: 0.0042 ips: 28.9005 images/s [10/17 20:42:12] ppdet.engine INFO: Epoch: [115] [120/229] learning_rate: 0.270648 loss_vfl: 0.850982 loss_bbox: 0.310805 loss_dfl: 0.188515 loss: 1.365255 eta: 1 day, 1:52:30 batch_cost: 2.1605 data_cost: 0.0036 ips: 29.6221 images/s [10/17 20:43:01] ppdet.engine INFO: Epoch: [115] [140/229] learning_rate: 0.270477 loss_vfl: 0.827338 loss_bbox: 0.319958 loss_dfl: 0.202522 loss: 1.371536 eta: 1 day, 1:51:49 batch_cost: 2.2853 data_cost: 0.0030 ips: 28.0045 images/s [10/17 20:43:49] ppdet.engine INFO: Epoch: [115] [160/229] learning_rate: 0.270306 loss_vfl: 0.843944 loss_bbox: 0.317823 loss_dfl: 0.202912 loss: 1.379334 eta: 1 day, 1:51:04 batch_cost: 2.1933 data_cost: 0.0034 ips: 29.1793 images/s [10/17 20:44:36] ppdet.engine INFO: Epoch: [115] [180/229] learning_rate: 0.270134 loss_vfl: 0.834258 loss_bbox: 0.329325 loss_dfl: 0.200116 loss: 1.358262 eta: 1 day, 1:50:18 batch_cost: 2.1287 data_cost: 0.0028 ips: 30.0655 images/s [10/17 20:45:22] ppdet.engine INFO: Epoch: [115] [200/229] learning_rate: 0.269963 loss_vfl: 0.844576 loss_bbox: 0.332461 loss_dfl: 0.207455 loss: 1.384236 eta: 1 day, 1:49:31 batch_cost: 2.1268 data_cost: 0.0033 ips: 30.0929 images/s [10/17 20:46:00] ppdet.engine INFO: Epoch: [115] [220/229] learning_rate: 0.269792 loss_vfl: 0.845465 loss_bbox: 0.322321 loss_dfl: 0.199105 loss: 1.367602 eta: 1 day, 1:48:35 batch_cost: 1.8146 data_cost: 0.0030 ips: 35.2699 images/s [10/17 20:46:43] ppdet.engine INFO: Epoch: [116] [ 0/229] learning_rate: 0.269714 loss_vfl: 0.845011 loss_bbox: 0.322321 loss_dfl: 0.205702 loss: 1.372828 eta: 1 day, 1:48:44 batch_cost: 2.7404 data_cost: 0.6978 ips: 23.3543 images/s [10/17 20:47:31] ppdet.engine INFO: Epoch: [116] [ 20/229] learning_rate: 0.269543 loss_vfl: 0.842762 loss_bbox: 0.330393 loss_dfl: 0.206543 loss: 1.357469 eta: 1 day, 1:47:58 batch_cost: 2.1657 data_cost: 0.0034 ips: 29.5517 images/s [10/17 20:48:19] ppdet.engine INFO: Epoch: [116] [ 40/229] learning_rate: 0.269371 loss_vfl: 0.846487 loss_bbox: 0.329712 loss_dfl: 0.200627 loss: 1.366461 eta: 1 day, 1:47:14 batch_cost: 2.1975 data_cost: 0.0023 ips: 29.1239 images/s [10/17 20:49:07] ppdet.engine INFO: Epoch: [116] [ 60/229] learning_rate: 0.269200 loss_vfl: 0.852360 loss_bbox: 0.314416 loss_dfl: 0.199441 loss: 1.369685 eta: 1 day, 1:46:31 batch_cost: 2.2297 data_cost: 0.0037 ips: 28.7033 images/s [10/17 20:49:56] ppdet.engine INFO: Epoch: [116] [ 80/229] learning_rate: 0.269028 loss_vfl: 0.837667 loss_bbox: 0.305484 loss_dfl: 0.195558 loss: 1.343766 eta: 1 day, 1:45:46 batch_cost: 2.1816 data_cost: 0.0037 ips: 29.3369 images/s [10/17 20:50:42] ppdet.engine INFO: Epoch: [116] [100/229] learning_rate: 0.268856 loss_vfl: 0.844422 loss_bbox: 0.324438 loss_dfl: 0.200661 loss: 1.344459 eta: 1 day, 1:45:00 batch_cost: 2.1461 data_cost: 0.0037 ips: 29.8216 images/s [10/17 20:51:30] ppdet.engine INFO: Epoch: [116] [120/229] learning_rate: 0.268685 loss_vfl: 0.835513 loss_bbox: 0.335488 loss_dfl: 0.204974 loss: 1.382799 eta: 1 day, 1:44:16 batch_cost: 2.2143 data_cost: 0.0026 ips: 28.9030 images/s [10/17 20:52:16] ppdet.engine INFO: Epoch: [116] [140/229] learning_rate: 0.268513 loss_vfl: 0.835264 loss_bbox: 0.296894 loss_dfl: 0.186760 loss: 1.329931 eta: 1 day, 1:43:30 batch_cost: 2.1493 data_cost: 0.0027 ips: 29.7772 images/s [10/17 20:53:04] ppdet.engine INFO: Epoch: [116] [160/229] learning_rate: 0.268341 loss_vfl: 0.852955 loss_bbox: 0.319719 loss_dfl: 0.194283 loss: 1.370224 eta: 1 day, 1:42:45 batch_cost: 2.1639 data_cost: 0.0030 ips: 29.5761 images/s [10/17 20:53:51] ppdet.engine INFO: Epoch: [116] [180/229] learning_rate: 0.268169 loss_vfl: 0.841761 loss_bbox: 0.300203 loss_dfl: 0.184587 loss: 1.314531 eta: 1 day, 1:41:59 batch_cost: 2.1483 data_cost: 0.0030 ips: 29.7908 images/s [10/17 20:54:37] ppdet.engine INFO: Epoch: [116] [200/229] learning_rate: 0.267997 loss_vfl: 0.841086 loss_bbox: 0.306468 loss_dfl: 0.189416 loss: 1.353262 eta: 1 day, 1:41:12 batch_cost: 2.1109 data_cost: 0.0039 ips: 30.3193 images/s [10/17 20:55:15] ppdet.engine INFO: Epoch: [116] [220/229] learning_rate: 0.267825 loss_vfl: 0.848342 loss_bbox: 0.327102 loss_dfl: 0.200363 loss: 1.375634 eta: 1 day, 1:40:14 batch_cost: 1.7618 data_cost: 0.0021 ips: 36.3271 images/s [10/17 20:55:59] ppdet.engine INFO: Epoch: [117] [ 0/229] learning_rate: 0.267748 loss_vfl: 0.848941 loss_bbox: 0.309040 loss_dfl: 0.195144 loss: 1.353784 eta: 1 day, 1:40:26 batch_cost: 2.8349 data_cost: 0.6526 ips: 22.5754 images/s [10/17 20:56:46] ppdet.engine INFO: Epoch: [117] [ 20/229] learning_rate: 0.267575 loss_vfl: 0.838143 loss_bbox: 0.300810 loss_dfl: 0.193218 loss: 1.326993 eta: 1 day, 1:39:40 batch_cost: 2.1508 data_cost: 0.0017 ips: 29.7557 images/s [10/17 20:57:34] ppdet.engine INFO: Epoch: [117] [ 40/229] learning_rate: 0.267403 loss_vfl: 0.836937 loss_bbox: 0.310503 loss_dfl: 0.198375 loss: 1.364967 eta: 1 day, 1:38:57 batch_cost: 2.2284 data_cost: 0.0059 ips: 28.7200 images/s [10/17 20:58:21] ppdet.engine INFO: Epoch: [117] [ 60/229] learning_rate: 0.267231 loss_vfl: 0.839670 loss_bbox: 0.322103 loss_dfl: 0.206631 loss: 1.366271 eta: 1 day, 1:38:12 batch_cost: 2.1814 data_cost: 0.0072 ips: 29.3385 images/s [10/17 20:59:08] ppdet.engine INFO: Epoch: [117] [ 80/229] learning_rate: 0.267059 loss_vfl: 0.839739 loss_bbox: 0.327286 loss_dfl: 0.199514 loss: 1.364580 eta: 1 day, 1:37:28 batch_cost: 2.1971 data_cost: 0.0051 ips: 29.1297 images/s [10/17 20:59:56] ppdet.engine INFO: Epoch: [117] [100/229] learning_rate: 0.266886 loss_vfl: 0.841201 loss_bbox: 0.321050 loss_dfl: 0.191430 loss: 1.354787 eta: 1 day, 1:36:43 batch_cost: 2.2028 data_cost: 0.0025 ips: 29.0537 images/s [10/17 21:00:42] ppdet.engine INFO: Epoch: [117] [120/229] learning_rate: 0.266714 loss_vfl: 0.861338 loss_bbox: 0.309391 loss_dfl: 0.195548 loss: 1.361036 eta: 1 day, 1:35:58 batch_cost: 2.1518 data_cost: 0.0048 ips: 29.7423 images/s [10/17 21:01:29] ppdet.engine INFO: Epoch: [117] [140/229] learning_rate: 0.266541 loss_vfl: 0.840848 loss_bbox: 0.297538 loss_dfl: 0.194749 loss: 1.354118 eta: 1 day, 1:35:13 batch_cost: 2.2010 data_cost: 0.0025 ips: 29.0780 images/s [10/17 21:02:16] ppdet.engine INFO: Epoch: [117] [160/229] learning_rate: 0.266369 loss_vfl: 0.821391 loss_bbox: 0.321189 loss_dfl: 0.200215 loss: 1.352256 eta: 1 day, 1:34:28 batch_cost: 2.1745 data_cost: 0.0067 ips: 29.4321 images/s [10/17 21:03:03] ppdet.engine INFO: Epoch: [117] [180/229] learning_rate: 0.266196 loss_vfl: 0.850780 loss_bbox: 0.305402 loss_dfl: 0.197765 loss: 1.354023 eta: 1 day, 1:33:41 batch_cost: 2.0991 data_cost: 0.0064 ips: 30.4899 images/s [10/17 21:03:49] ppdet.engine INFO: Epoch: [117] [200/229] learning_rate: 0.266024 loss_vfl: 0.850719 loss_bbox: 0.309537 loss_dfl: 0.192480 loss: 1.356396 eta: 1 day, 1:32:55 batch_cost: 2.1333 data_cost: 0.0049 ips: 30.0001 images/s [10/17 21:04:27] ppdet.engine INFO: Epoch: [117] [220/229] learning_rate: 0.265851 loss_vfl: 0.832790 loss_bbox: 0.320463 loss_dfl: 0.195104 loss: 1.357934 eta: 1 day, 1:31:58 batch_cost: 1.7982 data_cost: 0.0032 ips: 35.5906 images/s [10/17 21:05:08] ppdet.engine INFO: Epoch: [118] [ 0/229] learning_rate: 0.265773 loss_vfl: 0.841271 loss_bbox: 0.323731 loss_dfl: 0.202131 loss: 1.369708 eta: 1 day, 1:32:03 batch_cost: 2.5909 data_cost: 0.8439 ips: 24.7022 images/s [10/17 21:05:58] ppdet.engine INFO: Epoch: [118] [ 20/229] learning_rate: 0.265601 loss_vfl: 0.813402 loss_bbox: 0.316781 loss_dfl: 0.191903 loss: 1.318374 eta: 1 day, 1:31:22 batch_cost: 2.3224 data_cost: 0.0020 ips: 27.5576 images/s [10/17 21:06:45] ppdet.engine INFO: Epoch: [118] [ 40/229] learning_rate: 0.265428 loss_vfl: 0.829029 loss_bbox: 0.308066 loss_dfl: 0.193373 loss: 1.325923 eta: 1 day, 1:30:37 batch_cost: 2.1739 data_cost: 0.0035 ips: 29.4406 images/s [10/17 21:07:33] ppdet.engine INFO: Epoch: [118] [ 60/229] learning_rate: 0.265255 loss_vfl: 0.839081 loss_bbox: 0.323186 loss_dfl: 0.195440 loss: 1.363787 eta: 1 day, 1:29:53 batch_cost: 2.2071 data_cost: 0.0048 ips: 28.9978 images/s [10/17 21:08:21] ppdet.engine INFO: Epoch: [118] [ 80/229] learning_rate: 0.265082 loss_vfl: 0.832431 loss_bbox: 0.310843 loss_dfl: 0.201492 loss: 1.334537 eta: 1 day, 1:29:09 batch_cost: 2.1899 data_cost: 0.0026 ips: 29.2246 images/s [10/17 21:09:09] ppdet.engine INFO: Epoch: [118] [100/229] learning_rate: 0.264909 loss_vfl: 0.828363 loss_bbox: 0.309049 loss_dfl: 0.194807 loss: 1.327198 eta: 1 day, 1:28:26 batch_cost: 2.2476 data_cost: 0.0054 ips: 28.4752 images/s [10/17 21:09:56] ppdet.engine INFO: Epoch: [118] [120/229] learning_rate: 0.264736 loss_vfl: 0.819747 loss_bbox: 0.313687 loss_dfl: 0.201046 loss: 1.348286 eta: 1 day, 1:27:41 batch_cost: 2.1682 data_cost: 0.0018 ips: 29.5171 images/s [10/17 21:10:43] ppdet.engine INFO: Epoch: [118] [140/229] learning_rate: 0.264563 loss_vfl: 0.840813 loss_bbox: 0.311505 loss_dfl: 0.191818 loss: 1.346544 eta: 1 day, 1:26:56 batch_cost: 2.1757 data_cost: 0.0051 ips: 29.4154 images/s [10/17 21:11:31] ppdet.engine INFO: Epoch: [118] [160/229] learning_rate: 0.264390 loss_vfl: 0.842575 loss_bbox: 0.319342 loss_dfl: 0.195931 loss: 1.362686 eta: 1 day, 1:26:12 batch_cost: 2.2293 data_cost: 0.0039 ips: 28.7091 images/s [10/17 21:12:18] ppdet.engine INFO: Epoch: [118] [180/229] learning_rate: 0.264216 loss_vfl: 0.844818 loss_bbox: 0.301149 loss_dfl: 0.192189 loss: 1.329620 eta: 1 day, 1:25:27 batch_cost: 2.1635 data_cost: 0.0045 ips: 29.5816 images/s [10/17 21:13:04] ppdet.engine INFO: Epoch: [118] [200/229] learning_rate: 0.264043 loss_vfl: 0.834002 loss_bbox: 0.319908 loss_dfl: 0.200405 loss: 1.339819 eta: 1 day, 1:24:40 batch_cost: 2.1264 data_cost: 0.0025 ips: 30.0976 images/s [10/17 21:13:42] ppdet.engine INFO: Epoch: [118] [220/229] learning_rate: 0.263870 loss_vfl: 0.837770 loss_bbox: 0.311631 loss_dfl: 0.200112 loss: 1.356952 eta: 1 day, 1:23:43 batch_cost: 1.7603 data_cost: 0.0030 ips: 36.3567 images/s [10/17 21:14:23] ppdet.engine INFO: Epoch: [119] [ 0/229] learning_rate: 0.263792 loss_vfl: 0.846176 loss_bbox: 0.335650 loss_dfl: 0.207573 loss: 1.375724 eta: 1 day, 1:23:48 batch_cost: 2.6405 data_cost: 1.0440 ips: 24.2377 images/s [10/17 21:15:13] ppdet.engine INFO: Epoch: [119] [ 20/229] learning_rate: 0.263618 loss_vfl: 0.840329 loss_bbox: 0.302305 loss_dfl: 0.200196 loss: 1.347156 eta: 1 day, 1:23:05 batch_cost: 2.2312 data_cost: 0.0040 ips: 28.6843 images/s [10/17 21:16:00] ppdet.engine INFO: Epoch: [119] [ 40/229] learning_rate: 0.263445 loss_vfl: 0.852552 loss_bbox: 0.313736 loss_dfl: 0.201027 loss: 1.371141 eta: 1 day, 1:22:18 batch_cost: 2.1142 data_cost: 0.0036 ips: 30.2713 images/s [10/17 21:16:47] ppdet.engine INFO: Epoch: [119] [ 60/229] learning_rate: 0.263272 loss_vfl: 0.832610 loss_bbox: 0.314054 loss_dfl: 0.204563 loss: 1.351774 eta: 1 day, 1:21:33 batch_cost: 2.1670 data_cost: 0.0062 ips: 29.5335 images/s [10/17 21:17:34] ppdet.engine INFO: Epoch: [119] [ 80/229] learning_rate: 0.263098 loss_vfl: 0.836196 loss_bbox: 0.309086 loss_dfl: 0.202253 loss: 1.364968 eta: 1 day, 1:20:48 batch_cost: 2.1791 data_cost: 0.0034 ips: 29.3693 images/s [10/17 21:18:23] ppdet.engine INFO: Epoch: [119] [100/229] learning_rate: 0.262924 loss_vfl: 0.857420 loss_bbox: 0.320013 loss_dfl: 0.198329 loss: 1.358595 eta: 1 day, 1:20:05 batch_cost: 2.2592 data_cost: 0.0076 ips: 28.3286 images/s [10/17 21:19:11] ppdet.engine INFO: Epoch: [119] [120/229] learning_rate: 0.262751 loss_vfl: 0.850113 loss_bbox: 0.304585 loss_dfl: 0.197865 loss: 1.364183 eta: 1 day, 1:19:20 batch_cost: 2.1725 data_cost: 0.0044 ips: 29.4592 images/s [10/17 21:19:58] ppdet.engine INFO: Epoch: [119] [140/229] learning_rate: 0.262577 loss_vfl: 0.842452 loss_bbox: 0.317321 loss_dfl: 0.201890 loss: 1.364110 eta: 1 day, 1:18:36 batch_cost: 2.2148 data_cost: 0.0060 ips: 28.8967 images/s [10/17 21:20:46] ppdet.engine INFO: Epoch: [119] [160/229] learning_rate: 0.262403 loss_vfl: 0.849515 loss_bbox: 0.316901 loss_dfl: 0.204764 loss: 1.373464 eta: 1 day, 1:17:52 batch_cost: 2.1817 data_cost: 0.0057 ips: 29.3344 images/s [10/17 21:21:35] ppdet.engine INFO: Epoch: [119] [180/229] learning_rate: 0.262229 loss_vfl: 0.820955 loss_bbox: 0.321960 loss_dfl: 0.197272 loss: 1.353088 eta: 1 day, 1:17:08 batch_cost: 2.2324 data_cost: 0.0023 ips: 28.6687 images/s [10/17 21:22:21] ppdet.engine INFO: Epoch: [119] [200/229] learning_rate: 0.262056 loss_vfl: 0.847942 loss_bbox: 0.338933 loss_dfl: 0.208313 loss: 1.386939 eta: 1 day, 1:16:22 batch_cost: 2.1229 data_cost: 0.0082 ips: 30.1477 images/s [10/17 21:22:59] ppdet.engine INFO: Epoch: [119] [220/229] learning_rate: 0.261882 loss_vfl: 0.848417 loss_bbox: 0.313275 loss_dfl: 0.203081 loss: 1.367918 eta: 1 day, 1:15:24 batch_cost: 1.7536 data_cost: 0.0025 ips: 36.4964 images/s [10/17 21:23:14] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 21:23:14] ppdet.engine INFO: Eval iter: 0 [10/17 21:23:54] ppdet.engine INFO: Eval iter: 100 [10/17 21:24:09] ppdet.engine INFO: Eval iter: 200 [10/17 21:24:25] ppdet.engine INFO: Eval iter: 300 [10/17 21:24:41] ppdet.engine INFO: Eval iter: 400 [10/17 21:24:56] ppdet.engine INFO: Eval iter: 500 [10/17 21:25:11] ppdet.engine INFO: Eval iter: 600 [10/17 21:25:23] 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 21:25:24] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.93s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=65.19s). Accumulating evaluation results... DONE (t=13.81s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.296 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.440 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.309 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.092 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.507 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 ] = 0.418 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.149 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.713 [10/17 21:26:50] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.744697775222335 [10/17 21:26:50] ppdet.engine INFO: Best test bbox ap is 0.296. [10/17 21:26:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 21:26:51] ppdet.engine INFO: Epoch: [120] [ 0/229] learning_rate: 0.261803 loss_vfl: 0.840103 loss_bbox: 0.324887 loss_dfl: 0.207222 loss: 1.368483 eta: 1 day, 1:14:49 batch_cost: 1.2851 data_cost: 0.0015 ips: 49.8025 images/s [10/17 21:27:38] ppdet.engine INFO: Epoch: [120] [ 20/229] learning_rate: 0.261629 loss_vfl: 0.834766 loss_bbox: 0.338401 loss_dfl: 0.211236 loss: 1.383446 eta: 1 day, 1:14:05 batch_cost: 2.1912 data_cost: 0.0028 ips: 29.2076 images/s [10/17 21:28:26] ppdet.engine INFO: Epoch: [120] [ 40/229] learning_rate: 0.261455 loss_vfl: 0.847564 loss_bbox: 0.308014 loss_dfl: 0.190566 loss: 1.347545 eta: 1 day, 1:13:21 batch_cost: 2.2112 data_cost: 0.0041 ips: 28.9429 images/s [10/17 21:29:13] ppdet.engine INFO: Epoch: [120] [ 60/229] learning_rate: 0.261281 loss_vfl: 0.833973 loss_bbox: 0.316628 loss_dfl: 0.199894 loss: 1.345134 eta: 1 day, 1:12:36 batch_cost: 2.1809 data_cost: 0.0032 ips: 29.3461 images/s [10/17 21:30:00] ppdet.engine INFO: Epoch: [120] [ 80/229] learning_rate: 0.261107 loss_vfl: 0.842881 loss_bbox: 0.310792 loss_dfl: 0.194609 loss: 1.353063 eta: 1 day, 1:11:51 batch_cost: 2.1681 data_cost: 0.0020 ips: 29.5190 images/s [10/17 21:30:47] ppdet.engine INFO: Epoch: [120] [100/229] learning_rate: 0.260933 loss_vfl: 0.808715 loss_bbox: 0.305932 loss_dfl: 0.197553 loss: 1.338802 eta: 1 day, 1:11:04 batch_cost: 2.1235 data_cost: 0.0022 ips: 30.1383 images/s [10/17 21:31:35] ppdet.engine INFO: Epoch: [120] [120/229] learning_rate: 0.260759 loss_vfl: 0.827850 loss_bbox: 0.310782 loss_dfl: 0.192957 loss: 1.330754 eta: 1 day, 1:10:21 batch_cost: 2.2389 data_cost: 0.0049 ips: 28.5851 images/s [10/17 21:32:21] ppdet.engine INFO: Epoch: [120] [140/229] learning_rate: 0.260584 loss_vfl: 0.821553 loss_bbox: 0.326721 loss_dfl: 0.201111 loss: 1.355233 eta: 1 day, 1:09:34 batch_cost: 2.1154 data_cost: 0.0037 ips: 30.2549 images/s [10/17 21:33:09] ppdet.engine INFO: Epoch: [120] [160/229] learning_rate: 0.260410 loss_vfl: 0.838342 loss_bbox: 0.303448 loss_dfl: 0.189014 loss: 1.337949 eta: 1 day, 1:08:49 batch_cost: 2.1677 data_cost: 0.0058 ips: 29.5239 images/s [10/17 21:33:56] ppdet.engine INFO: Epoch: [120] [180/229] learning_rate: 0.260236 loss_vfl: 0.845338 loss_bbox: 0.315842 loss_dfl: 0.197741 loss: 1.335962 eta: 1 day, 1:08:03 batch_cost: 2.1389 data_cost: 0.0024 ips: 29.9226 images/s [10/17 21:34:43] ppdet.engine INFO: Epoch: [120] [200/229] learning_rate: 0.260061 loss_vfl: 0.845548 loss_bbox: 0.324891 loss_dfl: 0.204720 loss: 1.382924 eta: 1 day, 1:07:18 batch_cost: 2.1845 data_cost: 0.0054 ips: 29.2970 images/s [10/17 21:35:20] ppdet.engine INFO: Epoch: [120] [220/229] learning_rate: 0.259887 loss_vfl: 0.846701 loss_bbox: 0.312693 loss_dfl: 0.199216 loss: 1.358913 eta: 1 day, 1:06:20 batch_cost: 1.7320 data_cost: 0.0082 ips: 36.9507 images/s [10/17 21:36:05] ppdet.engine INFO: Epoch: [121] [ 0/229] learning_rate: 0.259808 loss_vfl: 0.851900 loss_bbox: 0.306348 loss_dfl: 0.192142 loss: 1.365156 eta: 1 day, 1:06:30 batch_cost: 2.7807 data_cost: 0.7830 ips: 23.0160 images/s [10/17 21:36:51] ppdet.engine INFO: Epoch: [121] [ 20/229] learning_rate: 0.259634 loss_vfl: 0.844860 loss_bbox: 0.314758 loss_dfl: 0.205614 loss: 1.358884 eta: 1 day, 1:05:44 batch_cost: 2.1393 data_cost: 0.0018 ips: 29.9165 images/s [10/17 21:37:38] ppdet.engine INFO: Epoch: [121] [ 40/229] learning_rate: 0.259459 loss_vfl: 0.825174 loss_bbox: 0.320290 loss_dfl: 0.191307 loss: 1.342218 eta: 1 day, 1:05:00 batch_cost: 2.1949 data_cost: 0.0021 ips: 29.1582 images/s [10/17 21:38:23] ppdet.engine INFO: Epoch: [121] [ 60/229] learning_rate: 0.259284 loss_vfl: 0.840098 loss_bbox: 0.316570 loss_dfl: 0.194315 loss: 1.345303 eta: 1 day, 1:04:12 batch_cost: 2.0972 data_cost: 0.0045 ips: 30.5175 images/s [10/17 21:39:10] ppdet.engine INFO: Epoch: [121] [ 80/229] learning_rate: 0.259110 loss_vfl: 0.831638 loss_bbox: 0.322064 loss_dfl: 0.206137 loss: 1.369521 eta: 1 day, 1:03:26 batch_cost: 2.1425 data_cost: 0.0052 ips: 29.8713 images/s [10/17 21:39:57] ppdet.engine INFO: Epoch: [121] [100/229] learning_rate: 0.258935 loss_vfl: 0.836600 loss_bbox: 0.320079 loss_dfl: 0.199281 loss: 1.344034 eta: 1 day, 1:02:42 batch_cost: 2.1913 data_cost: 0.0046 ips: 29.2066 images/s [10/17 21:40:46] ppdet.engine INFO: Epoch: [121] [120/229] learning_rate: 0.258760 loss_vfl: 0.822342 loss_bbox: 0.319001 loss_dfl: 0.197739 loss: 1.346467 eta: 1 day, 1:01:58 batch_cost: 2.2076 data_cost: 0.0044 ips: 28.9904 images/s [10/17 21:41:33] ppdet.engine INFO: Epoch: [121] [140/229] learning_rate: 0.258585 loss_vfl: 0.836060 loss_bbox: 0.315665 loss_dfl: 0.201539 loss: 1.345518 eta: 1 day, 1:01:13 batch_cost: 2.1789 data_cost: 0.0042 ips: 29.3729 images/s [10/17 21:42:19] ppdet.engine INFO: Epoch: [121] [160/229] learning_rate: 0.258410 loss_vfl: 0.842122 loss_bbox: 0.309290 loss_dfl: 0.194313 loss: 1.361107 eta: 1 day, 1:00:27 batch_cost: 2.1272 data_cost: 0.0021 ips: 30.0865 images/s [10/17 21:43:05] ppdet.engine INFO: Epoch: [121] [180/229] learning_rate: 0.258235 loss_vfl: 0.854980 loss_bbox: 0.315281 loss_dfl: 0.196701 loss: 1.357927 eta: 1 day, 0:59:41 batch_cost: 2.1520 data_cost: 0.0025 ips: 29.7404 images/s [10/17 21:43:52] ppdet.engine INFO: Epoch: [121] [200/229] learning_rate: 0.258060 loss_vfl: 0.846063 loss_bbox: 0.322040 loss_dfl: 0.204619 loss: 1.376425 eta: 1 day, 0:58:55 batch_cost: 2.1494 data_cost: 0.0040 ips: 29.7753 images/s [10/17 21:44:30] ppdet.engine INFO: Epoch: [121] [220/229] learning_rate: 0.257885 loss_vfl: 0.827886 loss_bbox: 0.338610 loss_dfl: 0.205750 loss: 1.394234 eta: 1 day, 0:57:58 batch_cost: 1.7483 data_cost: 0.0028 ips: 36.6066 images/s [10/17 21:45:14] ppdet.engine INFO: Epoch: [122] [ 0/229] learning_rate: 0.257806 loss_vfl: 0.834323 loss_bbox: 0.311131 loss_dfl: 0.202212 loss: 1.366930 eta: 1 day, 0:58:07 batch_cost: 2.7846 data_cost: 1.1662 ips: 22.9833 images/s [10/17 21:46:01] ppdet.engine INFO: Epoch: [122] [ 20/229] learning_rate: 0.257631 loss_vfl: 0.843828 loss_bbox: 0.310770 loss_dfl: 0.199873 loss: 1.371464 eta: 1 day, 0:57:21 batch_cost: 2.1474 data_cost: 0.0128 ips: 29.8034 images/s [10/17 21:46:49] ppdet.engine INFO: Epoch: [122] [ 40/229] learning_rate: 0.257456 loss_vfl: 0.847184 loss_bbox: 0.307138 loss_dfl: 0.204918 loss: 1.374674 eta: 1 day, 0:56:37 batch_cost: 2.2138 data_cost: 0.0029 ips: 28.9097 images/s [10/17 21:47:36] ppdet.engine INFO: Epoch: [122] [ 60/229] learning_rate: 0.257281 loss_vfl: 0.833420 loss_bbox: 0.334765 loss_dfl: 0.209858 loss: 1.379867 eta: 1 day, 0:55:52 batch_cost: 2.1851 data_cost: 0.0027 ips: 29.2897 images/s [10/17 21:48:24] ppdet.engine INFO: Epoch: [122] [ 80/229] learning_rate: 0.257106 loss_vfl: 0.838095 loss_bbox: 0.319072 loss_dfl: 0.196943 loss: 1.350973 eta: 1 day, 0:55:09 batch_cost: 2.2241 data_cost: 0.0033 ips: 28.7758 images/s [10/17 21:49:11] ppdet.engine INFO: Epoch: [122] [100/229] learning_rate: 0.256930 loss_vfl: 0.827942 loss_bbox: 0.307336 loss_dfl: 0.195312 loss: 1.338985 eta: 1 day, 0:54:25 batch_cost: 2.1947 data_cost: 0.0064 ips: 29.1612 images/s [10/17 21:49:59] ppdet.engine INFO: Epoch: [122] [120/229] learning_rate: 0.256755 loss_vfl: 0.851014 loss_bbox: 0.330641 loss_dfl: 0.207081 loss: 1.396764 eta: 1 day, 0:53:39 batch_cost: 2.1447 data_cost: 0.0044 ips: 29.8415 images/s [10/17 21:50:45] ppdet.engine INFO: Epoch: [122] [140/229] learning_rate: 0.256579 loss_vfl: 0.855282 loss_bbox: 0.295693 loss_dfl: 0.194109 loss: 1.355855 eta: 1 day, 0:52:53 batch_cost: 2.1427 data_cost: 0.0052 ips: 29.8690 images/s [10/17 21:51:32] ppdet.engine INFO: Epoch: [122] [160/229] learning_rate: 0.256404 loss_vfl: 0.847582 loss_bbox: 0.309074 loss_dfl: 0.203216 loss: 1.359214 eta: 1 day, 0:52:08 batch_cost: 2.1887 data_cost: 0.0048 ips: 29.2410 images/s [10/17 21:52:20] ppdet.engine INFO: Epoch: [122] [180/229] learning_rate: 0.256228 loss_vfl: 0.821261 loss_bbox: 0.331883 loss_dfl: 0.198813 loss: 1.354275 eta: 1 day, 0:51:23 batch_cost: 2.1716 data_cost: 0.0028 ips: 29.4711 images/s [10/17 21:53:06] ppdet.engine INFO: Epoch: [122] [200/229] learning_rate: 0.256053 loss_vfl: 0.845525 loss_bbox: 0.316963 loss_dfl: 0.200907 loss: 1.358340 eta: 1 day, 0:50:37 batch_cost: 2.1419 data_cost: 0.0022 ips: 29.8806 images/s [10/17 21:53:45] ppdet.engine INFO: Epoch: [122] [220/229] learning_rate: 0.255877 loss_vfl: 0.828933 loss_bbox: 0.299058 loss_dfl: 0.188386 loss: 1.337879 eta: 1 day, 0:49:41 batch_cost: 1.8018 data_cost: 0.0040 ips: 35.5201 images/s [10/17 21:54:30] ppdet.engine INFO: Epoch: [123] [ 0/229] learning_rate: 0.255798 loss_vfl: 0.840070 loss_bbox: 0.309571 loss_dfl: 0.196588 loss: 1.350539 eta: 1 day, 0:49:50 batch_cost: 2.7731 data_cost: 0.8189 ips: 23.0785 images/s [10/17 21:55:17] ppdet.engine INFO: Epoch: [123] [ 20/229] learning_rate: 0.255623 loss_vfl: 0.828425 loss_bbox: 0.324865 loss_dfl: 0.205341 loss: 1.372737 eta: 1 day, 0:49:07 batch_cost: 2.2466 data_cost: 0.0110 ips: 28.4878 images/s [10/17 21:56:05] ppdet.engine INFO: Epoch: [123] [ 40/229] learning_rate: 0.255447 loss_vfl: 0.832099 loss_bbox: 0.324542 loss_dfl: 0.198693 loss: 1.358363 eta: 1 day, 0:48:23 batch_cost: 2.2062 data_cost: 0.0047 ips: 29.0095 images/s [10/17 21:56:51] ppdet.engine INFO: Epoch: [123] [ 60/229] learning_rate: 0.255271 loss_vfl: 0.811730 loss_bbox: 0.315591 loss_dfl: 0.199962 loss: 1.366005 eta: 1 day, 0:47:36 batch_cost: 2.1079 data_cost: 0.0040 ips: 30.3613 images/s [10/17 21:57:38] ppdet.engine INFO: Epoch: [123] [ 80/229] learning_rate: 0.255095 loss_vfl: 0.843467 loss_bbox: 0.326044 loss_dfl: 0.192502 loss: 1.346658 eta: 1 day, 0:46:51 batch_cost: 2.1681 data_cost: 0.0060 ips: 29.5193 images/s [10/17 21:58:24] ppdet.engine INFO: Epoch: [123] [100/229] learning_rate: 0.254919 loss_vfl: 0.817862 loss_bbox: 0.302961 loss_dfl: 0.193032 loss: 1.334942 eta: 1 day, 0:46:04 batch_cost: 2.1049 data_cost: 0.0067 ips: 30.4048 images/s [10/17 21:59:11] ppdet.engine INFO: Epoch: [123] [120/229] learning_rate: 0.254743 loss_vfl: 0.833998 loss_bbox: 0.309902 loss_dfl: 0.200983 loss: 1.351649 eta: 1 day, 0:45:19 batch_cost: 2.1854 data_cost: 0.0056 ips: 29.2858 images/s [10/17 21:59:58] ppdet.engine INFO: Epoch: [123] [140/229] learning_rate: 0.254568 loss_vfl: 0.844563 loss_bbox: 0.303123 loss_dfl: 0.190156 loss: 1.355134 eta: 1 day, 0:44:33 batch_cost: 2.1319 data_cost: 0.0050 ips: 30.0196 images/s [10/17 22:00:45] ppdet.engine INFO: Epoch: [123] [160/229] learning_rate: 0.254392 loss_vfl: 0.841065 loss_bbox: 0.316503 loss_dfl: 0.198006 loss: 1.346270 eta: 1 day, 0:43:48 batch_cost: 2.1811 data_cost: 0.0053 ips: 29.3436 images/s [10/17 22:01:33] ppdet.engine INFO: Epoch: [123] [180/229] learning_rate: 0.254215 loss_vfl: 0.839579 loss_bbox: 0.311921 loss_dfl: 0.193307 loss: 1.342003 eta: 1 day, 0:43:05 batch_cost: 2.2255 data_cost: 0.0061 ips: 28.7571 images/s [10/17 22:02:19] ppdet.engine INFO: Epoch: [123] [200/229] learning_rate: 0.254039 loss_vfl: 0.850673 loss_bbox: 0.317033 loss_dfl: 0.195336 loss: 1.343268 eta: 1 day, 0:42:20 batch_cost: 2.1757 data_cost: 0.0065 ips: 29.4154 images/s [10/17 22:02:57] ppdet.engine INFO: Epoch: [123] [220/229] learning_rate: 0.253863 loss_vfl: 0.847969 loss_bbox: 0.321310 loss_dfl: 0.198313 loss: 1.372878 eta: 1 day, 0:41:24 batch_cost: 1.7814 data_cost: 0.0033 ips: 35.9261 images/s [10/17 22:03:40] ppdet.engine INFO: Epoch: [124] [ 0/229] learning_rate: 0.253784 loss_vfl: 0.851400 loss_bbox: 0.313897 loss_dfl: 0.196397 loss: 1.380407 eta: 1 day, 0:41:28 batch_cost: 2.6391 data_cost: 1.1808 ips: 24.2505 images/s [10/17 22:04:27] ppdet.engine INFO: Epoch: [124] [ 20/229] learning_rate: 0.253608 loss_vfl: 0.825187 loss_bbox: 0.303460 loss_dfl: 0.195533 loss: 1.328835 eta: 1 day, 0:40:43 batch_cost: 2.1598 data_cost: 0.0051 ips: 29.6322 images/s [10/17 22:05:15] ppdet.engine INFO: Epoch: [124] [ 40/229] learning_rate: 0.253432 loss_vfl: 0.840451 loss_bbox: 0.313897 loss_dfl: 0.198589 loss: 1.339528 eta: 1 day, 0:39:59 batch_cost: 2.2219 data_cost: 0.0117 ips: 28.8048 images/s [10/17 22:06:02] ppdet.engine INFO: Epoch: [124] [ 60/229] learning_rate: 0.253255 loss_vfl: 0.846689 loss_bbox: 0.339897 loss_dfl: 0.208962 loss: 1.377987 eta: 1 day, 0:39:15 batch_cost: 2.1893 data_cost: 0.0044 ips: 29.2330 images/s [10/17 22:06:49] ppdet.engine INFO: Epoch: [124] [ 80/229] learning_rate: 0.253079 loss_vfl: 0.833840 loss_bbox: 0.310608 loss_dfl: 0.192859 loss: 1.349656 eta: 1 day, 0:38:29 batch_cost: 2.1435 data_cost: 0.0059 ips: 29.8571 images/s [10/17 22:07:36] ppdet.engine INFO: Epoch: [124] [100/229] learning_rate: 0.252903 loss_vfl: 0.842685 loss_bbox: 0.317932 loss_dfl: 0.197378 loss: 1.365557 eta: 1 day, 0:37:43 batch_cost: 2.1448 data_cost: 0.0057 ips: 29.8397 images/s [10/17 22:08:23] ppdet.engine INFO: Epoch: [124] [120/229] learning_rate: 0.252726 loss_vfl: 0.836507 loss_bbox: 0.309137 loss_dfl: 0.198925 loss: 1.350693 eta: 1 day, 0:36:58 batch_cost: 2.1676 data_cost: 0.0037 ips: 29.5258 images/s [10/17 22:09:10] ppdet.engine INFO: Epoch: [124] [140/229] learning_rate: 0.252550 loss_vfl: 0.844435 loss_bbox: 0.326586 loss_dfl: 0.202269 loss: 1.363489 eta: 1 day, 0:36:13 batch_cost: 2.1795 data_cost: 0.0061 ips: 29.3639 images/s [10/17 22:09:57] ppdet.engine INFO: Epoch: [124] [160/229] learning_rate: 0.252373 loss_vfl: 0.838681 loss_bbox: 0.313697 loss_dfl: 0.200316 loss: 1.365260 eta: 1 day, 0:35:29 batch_cost: 2.2053 data_cost: 0.0047 ips: 29.0206 images/s [10/17 22:10:45] ppdet.engine INFO: Epoch: [124] [180/229] learning_rate: 0.252197 loss_vfl: 0.848750 loss_bbox: 0.306612 loss_dfl: 0.194196 loss: 1.358598 eta: 1 day, 0:34:44 batch_cost: 2.1832 data_cost: 0.0051 ips: 29.3142 images/s [10/17 22:11:32] ppdet.engine INFO: Epoch: [124] [200/229] learning_rate: 0.252020 loss_vfl: 0.836710 loss_bbox: 0.306759 loss_dfl: 0.195724 loss: 1.331158 eta: 1 day, 0:34:01 batch_cost: 2.2444 data_cost: 0.0024 ips: 28.5151 images/s [10/17 22:12:11] ppdet.engine INFO: Epoch: [124] [220/229] learning_rate: 0.251843 loss_vfl: 0.839885 loss_bbox: 0.322495 loss_dfl: 0.194864 loss: 1.356979 eta: 1 day, 0:33:06 batch_cost: 1.7986 data_cost: 0.0023 ips: 35.5834 images/s [10/17 22:12:52] ppdet.engine INFO: Epoch: [125] [ 0/229] learning_rate: 0.251764 loss_vfl: 0.837228 loss_bbox: 0.325479 loss_dfl: 0.199912 loss: 1.359147 eta: 1 day, 0:33:08 batch_cost: 2.6056 data_cost: 0.9962 ips: 24.5626 images/s [10/17 22:13:41] ppdet.engine INFO: Epoch: [125] [ 20/229] learning_rate: 0.251587 loss_vfl: 0.821865 loss_bbox: 0.312168 loss_dfl: 0.194680 loss: 1.337275 eta: 1 day, 0:32:26 batch_cost: 2.2685 data_cost: 0.0022 ips: 28.2129 images/s [10/17 22:14:29] ppdet.engine INFO: Epoch: [125] [ 40/229] learning_rate: 0.251410 loss_vfl: 0.832644 loss_bbox: 0.306761 loss_dfl: 0.193032 loss: 1.332969 eta: 1 day, 0:31:41 batch_cost: 2.2022 data_cost: 0.0057 ips: 29.0614 images/s [10/17 22:15:16] ppdet.engine INFO: Epoch: [125] [ 60/229] learning_rate: 0.251234 loss_vfl: 0.843339 loss_bbox: 0.291533 loss_dfl: 0.195790 loss: 1.348346 eta: 1 day, 0:30:56 batch_cost: 2.1501 data_cost: 0.0028 ips: 29.7655 images/s [10/17 22:16:04] ppdet.engine INFO: Epoch: [125] [ 80/229] learning_rate: 0.251057 loss_vfl: 0.829087 loss_bbox: 0.298722 loss_dfl: 0.189941 loss: 1.319156 eta: 1 day, 0:30:10 batch_cost: 2.1348 data_cost: 0.0029 ips: 29.9797 images/s [10/17 22:16:51] ppdet.engine INFO: Epoch: [125] [100/229] learning_rate: 0.250880 loss_vfl: 0.831755 loss_bbox: 0.324570 loss_dfl: 0.207457 loss: 1.370635 eta: 1 day, 0:29:26 batch_cost: 2.2224 data_cost: 0.0043 ips: 28.7979 images/s [10/17 22:17:39] ppdet.engine INFO: Epoch: [125] [120/229] learning_rate: 0.250703 loss_vfl: 0.838708 loss_bbox: 0.329662 loss_dfl: 0.200431 loss: 1.362950 eta: 1 day, 0:28:42 batch_cost: 2.2016 data_cost: 0.0027 ips: 29.0698 images/s [10/17 22:18:26] ppdet.engine INFO: Epoch: [125] [140/229] learning_rate: 0.250526 loss_vfl: 0.844465 loss_bbox: 0.322178 loss_dfl: 0.205602 loss: 1.356916 eta: 1 day, 0:27:56 batch_cost: 2.1534 data_cost: 0.0035 ips: 29.7201 images/s [10/17 22:19:14] ppdet.engine INFO: Epoch: [125] [160/229] learning_rate: 0.250349 loss_vfl: 0.839069 loss_bbox: 0.308392 loss_dfl: 0.198333 loss: 1.352145 eta: 1 day, 0:27:12 batch_cost: 2.2151 data_cost: 0.0074 ips: 28.8931 images/s [10/17 22:20:01] ppdet.engine INFO: Epoch: [125] [180/229] learning_rate: 0.250172 loss_vfl: 0.847667 loss_bbox: 0.318393 loss_dfl: 0.202452 loss: 1.365530 eta: 1 day, 0:26:27 batch_cost: 2.1593 data_cost: 0.0030 ips: 29.6392 images/s [10/17 22:20:47] ppdet.engine INFO: Epoch: [125] [200/229] learning_rate: 0.249995 loss_vfl: 0.842138 loss_bbox: 0.306540 loss_dfl: 0.200201 loss: 1.368935 eta: 1 day, 0:25:39 batch_cost: 2.0802 data_cost: 0.0024 ips: 30.7669 images/s [10/17 22:21:26] ppdet.engine INFO: Epoch: [125] [220/229] learning_rate: 0.249818 loss_vfl: 0.827843 loss_bbox: 0.309242 loss_dfl: 0.199350 loss: 1.343897 eta: 1 day, 0:24:44 batch_cost: 1.7976 data_cost: 0.0028 ips: 35.6028 images/s [10/17 22:22:10] ppdet.engine INFO: Epoch: [126] [ 0/229] learning_rate: 0.249738 loss_vfl: 0.832732 loss_bbox: 0.308120 loss_dfl: 0.197179 loss: 1.342255 eta: 1 day, 0:24:50 batch_cost: 2.7265 data_cost: 0.9661 ips: 23.4737 images/s [10/17 22:22:57] ppdet.engine INFO: Epoch: [126] [ 20/229] learning_rate: 0.249561 loss_vfl: 0.831936 loss_bbox: 0.315933 loss_dfl: 0.203681 loss: 1.349852 eta: 1 day, 0:24:03 batch_cost: 2.1309 data_cost: 0.0023 ips: 30.0337 images/s [10/17 22:23:45] ppdet.engine INFO: Epoch: [126] [ 40/229] learning_rate: 0.249384 loss_vfl: 0.826525 loss_bbox: 0.343148 loss_dfl: 0.208418 loss: 1.380525 eta: 1 day, 0:23:18 batch_cost: 2.1772 data_cost: 0.0060 ips: 29.3954 images/s [10/17 22:24:33] ppdet.engine INFO: Epoch: [126] [ 60/229] learning_rate: 0.249206 loss_vfl: 0.831314 loss_bbox: 0.335227 loss_dfl: 0.206107 loss: 1.379959 eta: 1 day, 0:22:33 batch_cost: 2.1676 data_cost: 0.0040 ips: 29.5262 images/s [10/17 22:25:20] ppdet.engine INFO: Epoch: [126] [ 80/229] learning_rate: 0.249029 loss_vfl: 0.838329 loss_bbox: 0.320764 loss_dfl: 0.196344 loss: 1.373460 eta: 1 day, 0:21:48 batch_cost: 2.1551 data_cost: 0.0038 ips: 29.6964 images/s [10/17 22:26:08] ppdet.engine INFO: Epoch: [126] [100/229] learning_rate: 0.248852 loss_vfl: 0.852164 loss_bbox: 0.311002 loss_dfl: 0.192113 loss: 1.346756 eta: 1 day, 0:21:04 batch_cost: 2.2186 data_cost: 0.0041 ips: 28.8469 images/s [10/17 22:26:56] ppdet.engine INFO: Epoch: [126] [120/229] learning_rate: 0.248674 loss_vfl: 0.841623 loss_bbox: 0.319296 loss_dfl: 0.202005 loss: 1.362431 eta: 1 day, 0:20:20 batch_cost: 2.2223 data_cost: 0.0034 ips: 28.7990 images/s [10/17 22:27:44] ppdet.engine INFO: Epoch: [126] [140/229] learning_rate: 0.248497 loss_vfl: 0.818948 loss_bbox: 0.316117 loss_dfl: 0.196544 loss: 1.344556 eta: 1 day, 0:19:36 batch_cost: 2.1981 data_cost: 0.0100 ips: 29.1155 images/s [10/17 22:28:32] ppdet.engine INFO: Epoch: [126] [160/229] learning_rate: 0.248319 loss_vfl: 0.832980 loss_bbox: 0.321566 loss_dfl: 0.203727 loss: 1.349809 eta: 1 day, 0:18:53 batch_cost: 2.2388 data_cost: 0.0052 ips: 28.5870 images/s [10/17 22:29:20] ppdet.engine INFO: Epoch: [126] [180/229] learning_rate: 0.248142 loss_vfl: 0.839828 loss_bbox: 0.293789 loss_dfl: 0.188008 loss: 1.333965 eta: 1 day, 0:18:10 batch_cost: 2.2368 data_cost: 0.0037 ips: 28.6125 images/s [10/17 22:30:06] ppdet.engine INFO: Epoch: [126] [200/229] learning_rate: 0.247964 loss_vfl: 0.825303 loss_bbox: 0.318551 loss_dfl: 0.204143 loss: 1.349535 eta: 1 day, 0:17:22 batch_cost: 2.0762 data_cost: 0.0027 ips: 30.8256 images/s [10/17 22:30:44] ppdet.engine INFO: Epoch: [126] [220/229] learning_rate: 0.247787 loss_vfl: 0.846098 loss_bbox: 0.329156 loss_dfl: 0.207901 loss: 1.400544 eta: 1 day, 0:16:26 batch_cost: 1.7703 data_cost: 0.0031 ips: 36.1520 images/s [10/17 22:31:26] ppdet.engine INFO: Epoch: [127] [ 0/229] learning_rate: 0.247707 loss_vfl: 0.842140 loss_bbox: 0.314577 loss_dfl: 0.198880 loss: 1.388998 eta: 1 day, 0:16:29 batch_cost: 2.6219 data_cost: 0.9959 ips: 24.4097 images/s [10/17 22:32:14] ppdet.engine INFO: Epoch: [127] [ 20/229] learning_rate: 0.247529 loss_vfl: 0.827283 loss_bbox: 0.319447 loss_dfl: 0.196884 loss: 1.332297 eta: 1 day, 0:15:45 batch_cost: 2.2115 data_cost: 0.0021 ips: 28.9396 images/s [10/17 22:33:02] ppdet.engine INFO: Epoch: [127] [ 40/229] learning_rate: 0.247351 loss_vfl: 0.840207 loss_bbox: 0.301385 loss_dfl: 0.190880 loss: 1.325530 eta: 1 day, 0:15:01 batch_cost: 2.2052 data_cost: 0.0044 ips: 29.0223 images/s [10/17 22:33:48] ppdet.engine INFO: Epoch: [127] [ 60/229] learning_rate: 0.247174 loss_vfl: 0.838492 loss_bbox: 0.305887 loss_dfl: 0.191539 loss: 1.365404 eta: 1 day, 0:14:15 batch_cost: 2.1501 data_cost: 0.0058 ips: 29.7660 images/s [10/17 22:34:36] ppdet.engine INFO: Epoch: [127] [ 80/229] learning_rate: 0.246996 loss_vfl: 0.817260 loss_bbox: 0.306906 loss_dfl: 0.199762 loss: 1.348296 eta: 1 day, 0:13:28 batch_cost: 2.0996 data_cost: 0.0019 ips: 30.4827 images/s [10/17 22:35:22] ppdet.engine INFO: Epoch: [127] [100/229] learning_rate: 0.246818 loss_vfl: 0.833458 loss_bbox: 0.310602 loss_dfl: 0.194565 loss: 1.338424 eta: 1 day, 0:12:43 batch_cost: 2.1751 data_cost: 0.0049 ips: 29.4240 images/s [10/17 22:36:10] ppdet.engine INFO: Epoch: [127] [120/229] learning_rate: 0.246640 loss_vfl: 0.829183 loss_bbox: 0.293152 loss_dfl: 0.186439 loss: 1.343242 eta: 1 day, 0:11:59 batch_cost: 2.1948 data_cost: 0.0044 ips: 29.1600 images/s [10/17 22:36:57] ppdet.engine INFO: Epoch: [127] [140/229] learning_rate: 0.246462 loss_vfl: 0.839886 loss_bbox: 0.312799 loss_dfl: 0.194419 loss: 1.334100 eta: 1 day, 0:11:13 batch_cost: 2.1354 data_cost: 0.0027 ips: 29.9713 images/s [10/17 22:37:45] ppdet.engine INFO: Epoch: [127] [160/229] learning_rate: 0.246284 loss_vfl: 0.838497 loss_bbox: 0.323138 loss_dfl: 0.200479 loss: 1.364856 eta: 1 day, 0:10:29 batch_cost: 2.2187 data_cost: 0.0038 ips: 28.8459 images/s [10/17 22:38:32] ppdet.engine INFO: Epoch: [127] [180/229] learning_rate: 0.246106 loss_vfl: 0.837874 loss_bbox: 0.323010 loss_dfl: 0.202817 loss: 1.378733 eta: 1 day, 0:09:45 batch_cost: 2.1999 data_cost: 0.0018 ips: 29.0919 images/s [10/17 22:39:18] ppdet.engine INFO: Epoch: [127] [200/229] learning_rate: 0.245928 loss_vfl: 0.834814 loss_bbox: 0.302576 loss_dfl: 0.193808 loss: 1.344149 eta: 1 day, 0:08:58 batch_cost: 2.1163 data_cost: 0.0040 ips: 30.2415 images/s [10/17 22:39:55] ppdet.engine INFO: Epoch: [127] [220/229] learning_rate: 0.245750 loss_vfl: 0.819115 loss_bbox: 0.330390 loss_dfl: 0.201675 loss: 1.345060 eta: 1 day, 0:08:00 batch_cost: 1.6853 data_cost: 0.0039 ips: 37.9765 images/s [10/17 22:40:36] ppdet.engine INFO: Epoch: [128] [ 0/229] learning_rate: 0.245670 loss_vfl: 0.824367 loss_bbox: 0.314101 loss_dfl: 0.195949 loss: 1.309491 eta: 1 day, 0:08:03 batch_cost: 2.5838 data_cost: 0.7384 ips: 24.7693 images/s [10/17 22:41:24] ppdet.engine INFO: Epoch: [128] [ 20/229] learning_rate: 0.245492 loss_vfl: 0.828125 loss_bbox: 0.322740 loss_dfl: 0.195025 loss: 1.353892 eta: 1 day, 0:07:19 batch_cost: 2.2116 data_cost: 0.0041 ips: 28.9384 images/s [10/17 22:42:12] ppdet.engine INFO: Epoch: [128] [ 40/229] learning_rate: 0.245314 loss_vfl: 0.814479 loss_bbox: 0.313840 loss_dfl: 0.196683 loss: 1.324508 eta: 1 day, 0:06:35 batch_cost: 2.2227 data_cost: 0.0028 ips: 28.7935 images/s [10/17 22:42:59] ppdet.engine INFO: Epoch: [128] [ 60/229] learning_rate: 0.245136 loss_vfl: 0.837895 loss_bbox: 0.320626 loss_dfl: 0.194349 loss: 1.339163 eta: 1 day, 0:05:50 batch_cost: 2.1677 data_cost: 0.0032 ips: 29.5247 images/s [10/17 22:43:47] ppdet.engine INFO: Epoch: [128] [ 80/229] learning_rate: 0.244958 loss_vfl: 0.845791 loss_bbox: 0.310817 loss_dfl: 0.201147 loss: 1.375211 eta: 1 day, 0:05:06 batch_cost: 2.2113 data_cost: 0.0029 ips: 28.9429 images/s [10/17 22:44:33] ppdet.engine INFO: Epoch: [128] [100/229] learning_rate: 0.244779 loss_vfl: 0.850197 loss_bbox: 0.301397 loss_dfl: 0.191172 loss: 1.359329 eta: 1 day, 0:04:20 batch_cost: 2.1291 data_cost: 0.0042 ips: 30.0601 images/s [10/17 22:45:19] ppdet.engine INFO: Epoch: [128] [120/229] learning_rate: 0.244601 loss_vfl: 0.830647 loss_bbox: 0.306630 loss_dfl: 0.191376 loss: 1.343190 eta: 1 day, 0:03:34 batch_cost: 2.1169 data_cost: 0.0026 ips: 30.2331 images/s [10/17 22:46:07] ppdet.engine INFO: Epoch: [128] [140/229] learning_rate: 0.244423 loss_vfl: 0.833762 loss_bbox: 0.307755 loss_dfl: 0.194167 loss: 1.338304 eta: 1 day, 0:02:49 batch_cost: 2.1841 data_cost: 0.0020 ips: 29.3032 images/s [10/17 22:46:54] ppdet.engine INFO: Epoch: [128] [160/229] learning_rate: 0.244244 loss_vfl: 0.827144 loss_bbox: 0.312833 loss_dfl: 0.193351 loss: 1.337992 eta: 1 day, 0:02:03 batch_cost: 2.1370 data_cost: 0.0020 ips: 29.9490 images/s [10/17 22:47:40] ppdet.engine INFO: Epoch: [128] [180/229] learning_rate: 0.244066 loss_vfl: 0.839913 loss_bbox: 0.316752 loss_dfl: 0.204658 loss: 1.373073 eta: 1 day, 0:01:16 batch_cost: 2.0965 data_cost: 0.0047 ips: 30.5267 images/s [10/17 22:48:26] ppdet.engine INFO: Epoch: [128] [200/229] learning_rate: 0.243887 loss_vfl: 0.836356 loss_bbox: 0.295404 loss_dfl: 0.188793 loss: 1.340129 eta: 1 day, 0:00:29 batch_cost: 2.1168 data_cost: 0.0052 ips: 30.2339 images/s [10/17 22:49:04] ppdet.engine INFO: Epoch: [128] [220/229] learning_rate: 0.243709 loss_vfl: 0.832802 loss_bbox: 0.321888 loss_dfl: 0.199010 loss: 1.349291 eta: 23:59:33 batch_cost: 1.7274 data_cost: 0.0042 ips: 37.0496 images/s [10/17 22:49:48] ppdet.engine INFO: Epoch: [129] [ 0/229] learning_rate: 0.243629 loss_vfl: 0.842998 loss_bbox: 0.309666 loss_dfl: 0.193719 loss: 1.328348 eta: 23:59:38 batch_cost: 2.7085 data_cost: 0.9763 ips: 23.6294 images/s [10/17 22:50:34] ppdet.engine INFO: Epoch: [129] [ 20/229] learning_rate: 0.243450 loss_vfl: 0.813308 loss_bbox: 0.313210 loss_dfl: 0.202364 loss: 1.336292 eta: 23:58:51 batch_cost: 2.1104 data_cost: 0.0055 ips: 30.3260 images/s [10/17 22:51:21] ppdet.engine INFO: Epoch: [129] [ 40/229] learning_rate: 0.243272 loss_vfl: 0.823328 loss_bbox: 0.308889 loss_dfl: 0.199696 loss: 1.332610 eta: 23:58:06 batch_cost: 2.1513 data_cost: 0.0066 ips: 29.7497 images/s [10/17 22:52:09] ppdet.engine INFO: Epoch: [129] [ 60/229] learning_rate: 0.243093 loss_vfl: 0.822098 loss_bbox: 0.316082 loss_dfl: 0.202671 loss: 1.342121 eta: 23:57:22 batch_cost: 2.2291 data_cost: 0.0035 ips: 28.7111 images/s [10/17 22:52:57] ppdet.engine INFO: Epoch: [129] [ 80/229] learning_rate: 0.242914 loss_vfl: 0.836849 loss_bbox: 0.299545 loss_dfl: 0.191857 loss: 1.340366 eta: 23:56:40 batch_cost: 2.2716 data_cost: 0.0031 ips: 28.1741 images/s [10/17 22:53:45] ppdet.engine INFO: Epoch: [129] [100/229] learning_rate: 0.242736 loss_vfl: 0.838725 loss_bbox: 0.303882 loss_dfl: 0.187548 loss: 1.324355 eta: 23:55:55 batch_cost: 2.1839 data_cost: 0.0073 ips: 29.3050 images/s [10/17 22:54:33] ppdet.engine INFO: Epoch: [129] [120/229] learning_rate: 0.242557 loss_vfl: 0.829125 loss_bbox: 0.314885 loss_dfl: 0.194745 loss: 1.355100 eta: 23:55:12 batch_cost: 2.2304 data_cost: 0.0068 ips: 28.6939 images/s [10/17 22:55:19] ppdet.engine INFO: Epoch: [129] [140/229] learning_rate: 0.242378 loss_vfl: 0.848573 loss_bbox: 0.308246 loss_dfl: 0.200276 loss: 1.369715 eta: 23:54:26 batch_cost: 2.1593 data_cost: 0.0044 ips: 29.6399 images/s [10/17 22:56:08] ppdet.engine INFO: Epoch: [129] [160/229] learning_rate: 0.242199 loss_vfl: 0.837968 loss_bbox: 0.306413 loss_dfl: 0.194323 loss: 1.345964 eta: 23:53:43 batch_cost: 2.2267 data_cost: 0.0041 ips: 28.7422 images/s [10/17 22:56:55] ppdet.engine INFO: Epoch: [129] [180/229] learning_rate: 0.242021 loss_vfl: 0.835118 loss_bbox: 0.315600 loss_dfl: 0.194614 loss: 1.348239 eta: 23:52:58 batch_cost: 2.1782 data_cost: 0.0025 ips: 29.3814 images/s [10/17 22:57:41] ppdet.engine INFO: Epoch: [129] [200/229] learning_rate: 0.241842 loss_vfl: 0.844251 loss_bbox: 0.315507 loss_dfl: 0.198123 loss: 1.359400 eta: 23:52:13 batch_cost: 2.1853 data_cost: 0.0049 ips: 29.2867 images/s [10/17 22:58:19] ppdet.engine INFO: Epoch: [129] [220/229] learning_rate: 0.241663 loss_vfl: 0.841051 loss_bbox: 0.327193 loss_dfl: 0.198415 loss: 1.368093 eta: 23:51:16 batch_cost: 1.7170 data_cost: 0.0016 ips: 37.2739 images/s [10/17 22:58:34] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/17 22:58:35] ppdet.engine INFO: Eval iter: 0 [10/17 22:59:15] ppdet.engine INFO: Eval iter: 100 [10/17 22:59:32] ppdet.engine INFO: Eval iter: 200 [10/17 22:59:47] ppdet.engine INFO: Eval iter: 300 [10/17 23:00:02] ppdet.engine INFO: Eval iter: 400 [10/17 23:00:17] ppdet.engine INFO: Eval iter: 500 [10/17 23:00:31] ppdet.engine INFO: Eval iter: 600 [10/17 23:00:43] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.50s) creating index... index created! [10/17 23:00:44] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.93s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.79s). Accumulating evaluation results... DONE (t=11.43s). 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 ] = 0.087 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.300 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.501 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 ] = 0.416 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 ] = 0.151 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.491 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705 [10/17 23:02:06] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.741866455518 [10/17 23:02:06] ppdet.engine INFO: Best test bbox ap is 0.296. [10/17 23:02:07] ppdet.engine INFO: Epoch: [130] [ 0/229] learning_rate: 0.241582 loss_vfl: 0.842917 loss_bbox: 0.327193 loss_dfl: 0.204719 loss: 1.378114 eta: 23:50:43 batch_cost: 1.2707 data_cost: 0.0014 ips: 50.3642 images/s [10/17 23:02:54] ppdet.engine INFO: Epoch: [130] [ 20/229] learning_rate: 0.241403 loss_vfl: 0.829758 loss_bbox: 0.308582 loss_dfl: 0.195995 loss: 1.331608 eta: 23:49:57 batch_cost: 2.1380 data_cost: 0.0029 ips: 29.9344 images/s [10/17 23:03:41] ppdet.engine INFO: Epoch: [130] [ 40/229] learning_rate: 0.241224 loss_vfl: 0.845423 loss_bbox: 0.321301 loss_dfl: 0.209460 loss: 1.368283 eta: 23:49:14 batch_cost: 2.2242 data_cost: 0.0046 ips: 28.7738 images/s [10/17 23:04:28] ppdet.engine INFO: Epoch: [130] [ 60/229] learning_rate: 0.241045 loss_vfl: 0.823511 loss_bbox: 0.292208 loss_dfl: 0.189461 loss: 1.325123 eta: 23:48:28 batch_cost: 2.1406 data_cost: 0.0047 ips: 29.8976 images/s [10/17 23:05:16] ppdet.engine INFO: Epoch: [130] [ 80/229] learning_rate: 0.240866 loss_vfl: 0.824756 loss_bbox: 0.319848 loss_dfl: 0.206395 loss: 1.360082 eta: 23:47:43 batch_cost: 2.1700 data_cost: 0.0036 ips: 29.4937 images/s [10/17 23:06:03] ppdet.engine INFO: Epoch: [130] [100/229] learning_rate: 0.240687 loss_vfl: 0.839750 loss_bbox: 0.321018 loss_dfl: 0.195389 loss: 1.375230 eta: 23:46:57 batch_cost: 2.1456 data_cost: 0.0087 ips: 29.8291 images/s [10/17 23:06:49] ppdet.engine INFO: Epoch: [130] [120/229] learning_rate: 0.240508 loss_vfl: 0.832942 loss_bbox: 0.316372 loss_dfl: 0.198406 loss: 1.361471 eta: 23:46:10 batch_cost: 2.0898 data_cost: 0.0018 ips: 30.6245 images/s [10/17 23:07:36] ppdet.engine INFO: Epoch: [130] [140/229] learning_rate: 0.240329 loss_vfl: 0.828889 loss_bbox: 0.306223 loss_dfl: 0.191042 loss: 1.337113 eta: 23:45:26 batch_cost: 2.1876 data_cost: 0.0038 ips: 29.2552 images/s [10/17 23:08:24] ppdet.engine INFO: Epoch: [130] [160/229] learning_rate: 0.240150 loss_vfl: 0.829789 loss_bbox: 0.309028 loss_dfl: 0.197136 loss: 1.351798 eta: 23:44:40 batch_cost: 2.1591 data_cost: 0.0025 ips: 29.6416 images/s [10/17 23:09:10] ppdet.engine INFO: Epoch: [130] [180/229] learning_rate: 0.239971 loss_vfl: 0.828411 loss_bbox: 0.298374 loss_dfl: 0.188936 loss: 1.331310 eta: 23:43:55 batch_cost: 2.1395 data_cost: 0.0043 ips: 29.9136 images/s [10/17 23:09:57] ppdet.engine INFO: Epoch: [130] [200/229] learning_rate: 0.239791 loss_vfl: 0.849993 loss_bbox: 0.295459 loss_dfl: 0.187741 loss: 1.343981 eta: 23:43:09 batch_cost: 2.1388 data_cost: 0.0046 ips: 29.9231 images/s [10/17 23:10:36] ppdet.engine INFO: Epoch: [130] [220/229] learning_rate: 0.239612 loss_vfl: 0.837956 loss_bbox: 0.310618 loss_dfl: 0.201420 loss: 1.330649 eta: 23:42:14 batch_cost: 1.7861 data_cost: 0.0030 ips: 35.8329 images/s [10/17 23:11:20] ppdet.engine INFO: Epoch: [131] [ 0/229] learning_rate: 0.239531 loss_vfl: 0.828414 loss_bbox: 0.303496 loss_dfl: 0.193028 loss: 1.319180 eta: 23:42:19 batch_cost: 2.7250 data_cost: 0.9085 ips: 23.4862 images/s [10/17 23:12:06] ppdet.engine INFO: Epoch: [131] [ 20/229] learning_rate: 0.239352 loss_vfl: 0.825109 loss_bbox: 0.304690 loss_dfl: 0.196189 loss: 1.341742 eta: 23:41:33 batch_cost: 2.1331 data_cost: 0.0040 ips: 30.0032 images/s [10/17 23:12:53] ppdet.engine INFO: Epoch: [131] [ 40/229] learning_rate: 0.239173 loss_vfl: 0.818047 loss_bbox: 0.296887 loss_dfl: 0.187413 loss: 1.310478 eta: 23:40:46 batch_cost: 2.1100 data_cost: 0.0025 ips: 30.3316 images/s [10/17 23:13:40] ppdet.engine INFO: Epoch: [131] [ 60/229] learning_rate: 0.238993 loss_vfl: 0.845911 loss_bbox: 0.312145 loss_dfl: 0.198439 loss: 1.354763 eta: 23:40:02 batch_cost: 2.1757 data_cost: 0.0047 ips: 29.4161 images/s [10/17 23:14:27] ppdet.engine INFO: Epoch: [131] [ 80/229] learning_rate: 0.238814 loss_vfl: 0.837227 loss_bbox: 0.315877 loss_dfl: 0.202295 loss: 1.357278 eta: 23:39:17 batch_cost: 2.1970 data_cost: 0.0022 ips: 29.1306 images/s [10/17 23:15:14] ppdet.engine INFO: Epoch: [131] [100/229] learning_rate: 0.238635 loss_vfl: 0.832586 loss_bbox: 0.308409 loss_dfl: 0.191523 loss: 1.326298 eta: 23:38:33 batch_cost: 2.1976 data_cost: 0.0034 ips: 29.1225 images/s [10/17 23:16:02] ppdet.engine INFO: Epoch: [131] [120/229] learning_rate: 0.238455 loss_vfl: 0.835872 loss_bbox: 0.303469 loss_dfl: 0.190343 loss: 1.331004 eta: 23:37:47 batch_cost: 2.1432 data_cost: 0.0018 ips: 29.8623 images/s [10/17 23:16:50] ppdet.engine INFO: Epoch: [131] [140/229] learning_rate: 0.238276 loss_vfl: 0.841845 loss_bbox: 0.292377 loss_dfl: 0.197132 loss: 1.351725 eta: 23:37:04 batch_cost: 2.2323 data_cost: 0.0097 ips: 28.6702 images/s [10/17 23:17:36] ppdet.engine INFO: Epoch: [131] [160/229] learning_rate: 0.238096 loss_vfl: 0.843507 loss_bbox: 0.317699 loss_dfl: 0.194824 loss: 1.362106 eta: 23:36:17 batch_cost: 2.0928 data_cost: 0.0042 ips: 30.5809 images/s [10/17 23:18:23] ppdet.engine INFO: Epoch: [131] [180/229] learning_rate: 0.237916 loss_vfl: 0.839421 loss_bbox: 0.292717 loss_dfl: 0.190490 loss: 1.320096 eta: 23:35:33 batch_cost: 2.2021 data_cost: 0.0043 ips: 29.0632 images/s [10/17 23:19:09] ppdet.engine INFO: Epoch: [131] [200/229] learning_rate: 0.237737 loss_vfl: 0.831091 loss_bbox: 0.311895 loss_dfl: 0.197511 loss: 1.345308 eta: 23:34:46 batch_cost: 2.1141 data_cost: 0.0018 ips: 30.2732 images/s [10/17 23:19:47] ppdet.engine INFO: Epoch: [131] [220/229] learning_rate: 0.237557 loss_vfl: 0.834243 loss_bbox: 0.321264 loss_dfl: 0.194326 loss: 1.357151 eta: 23:33:51 batch_cost: 1.7628 data_cost: 0.0031 ips: 36.3054 images/s [10/17 23:20:29] ppdet.engine INFO: Epoch: [132] [ 0/229] learning_rate: 0.237476 loss_vfl: 0.825168 loss_bbox: 0.308395 loss_dfl: 0.197524 loss: 1.341454 eta: 23:33:53 batch_cost: 2.6321 data_cost: 1.0628 ips: 24.3154 images/s [10/17 23:21:18] ppdet.engine INFO: Epoch: [132] [ 20/229] learning_rate: 0.237297 loss_vfl: 0.823458 loss_bbox: 0.296722 loss_dfl: 0.193755 loss: 1.321106 eta: 23:33:09 batch_cost: 2.2182 data_cost: 0.0034 ips: 28.8525 images/s [10/17 23:22:04] ppdet.engine INFO: Epoch: [132] [ 40/229] learning_rate: 0.237117 loss_vfl: 0.841536 loss_bbox: 0.308466 loss_dfl: 0.194904 loss: 1.352858 eta: 23:32:23 batch_cost: 2.1388 data_cost: 0.0050 ips: 29.9229 images/s [10/17 23:22:51] ppdet.engine INFO: Epoch: [132] [ 60/229] learning_rate: 0.236937 loss_vfl: 0.837157 loss_bbox: 0.317999 loss_dfl: 0.199624 loss: 1.338463 eta: 23:31:37 batch_cost: 2.1294 data_cost: 0.0087 ips: 30.0558 images/s [10/17 23:23:37] ppdet.engine INFO: Epoch: [132] [ 80/229] learning_rate: 0.236757 loss_vfl: 0.817171 loss_bbox: 0.311271 loss_dfl: 0.189225 loss: 1.305095 eta: 23:30:52 batch_cost: 2.1410 data_cost: 0.0034 ips: 29.8926 images/s [10/17 23:24:25] ppdet.engine INFO: Epoch: [132] [100/229] learning_rate: 0.236577 loss_vfl: 0.850833 loss_bbox: 0.328869 loss_dfl: 0.211198 loss: 1.397019 eta: 23:30:06 batch_cost: 2.1444 data_cost: 0.0048 ips: 29.8445 images/s [10/17 23:25:13] ppdet.engine INFO: Epoch: [132] [120/229] learning_rate: 0.236398 loss_vfl: 0.831063 loss_bbox: 0.304675 loss_dfl: 0.187669 loss: 1.325536 eta: 23:29:22 batch_cost: 2.2202 data_cost: 0.0047 ips: 28.8257 images/s [10/17 23:25:59] ppdet.engine INFO: Epoch: [132] [140/229] learning_rate: 0.236218 loss_vfl: 0.821067 loss_bbox: 0.297944 loss_dfl: 0.197576 loss: 1.330045 eta: 23:28:36 batch_cost: 2.1305 data_cost: 0.0055 ips: 30.0400 images/s [10/17 23:26:47] ppdet.engine INFO: Epoch: [132] [160/229] learning_rate: 0.236038 loss_vfl: 0.845573 loss_bbox: 0.315948 loss_dfl: 0.203369 loss: 1.357316 eta: 23:27:52 batch_cost: 2.1879 data_cost: 0.0018 ips: 29.2519 images/s [10/17 23:27:34] ppdet.engine INFO: Epoch: [132] [180/229] learning_rate: 0.235858 loss_vfl: 0.845889 loss_bbox: 0.309434 loss_dfl: 0.197016 loss: 1.354514 eta: 23:27:07 batch_cost: 2.1645 data_cost: 0.0047 ips: 29.5685 images/s [10/17 23:28:20] ppdet.engine INFO: Epoch: [132] [200/229] learning_rate: 0.235678 loss_vfl: 0.840149 loss_bbox: 0.323286 loss_dfl: 0.201519 loss: 1.371818 eta: 23:26:20 batch_cost: 2.1165 data_cost: 0.0062 ips: 30.2379 images/s [10/17 23:28:59] ppdet.engine INFO: Epoch: [132] [220/229] learning_rate: 0.235498 loss_vfl: 0.822930 loss_bbox: 0.319814 loss_dfl: 0.195718 loss: 1.340655 eta: 23:25:25 batch_cost: 1.7556 data_cost: 0.0030 ips: 36.4545 images/s [10/17 23:29:41] ppdet.engine INFO: Epoch: [133] [ 0/229] learning_rate: 0.235417 loss_vfl: 0.839525 loss_bbox: 0.314321 loss_dfl: 0.192558 loss: 1.343026 eta: 23:25:27 batch_cost: 2.6682 data_cost: 0.6585 ips: 23.9861 images/s [10/17 23:30:30] ppdet.engine INFO: Epoch: [133] [ 20/229] learning_rate: 0.235237 loss_vfl: 0.823876 loss_bbox: 0.302903 loss_dfl: 0.185862 loss: 1.321010 eta: 23:24:45 batch_cost: 2.2725 data_cost: 0.0023 ips: 28.1624 images/s [10/17 23:31:18] ppdet.engine INFO: Epoch: [133] [ 40/229] learning_rate: 0.235057 loss_vfl: 0.818537 loss_bbox: 0.310330 loss_dfl: 0.199694 loss: 1.352388 eta: 23:24:01 batch_cost: 2.2156 data_cost: 0.0046 ips: 28.8856 images/s [10/17 23:32:05] ppdet.engine INFO: Epoch: [133] [ 60/229] learning_rate: 0.234877 loss_vfl: 0.834585 loss_bbox: 0.305553 loss_dfl: 0.199070 loss: 1.345618 eta: 23:23:16 batch_cost: 2.1647 data_cost: 0.0045 ips: 29.5653 images/s [10/17 23:32:51] ppdet.engine INFO: Epoch: [133] [ 80/229] learning_rate: 0.234697 loss_vfl: 0.846516 loss_bbox: 0.296973 loss_dfl: 0.191290 loss: 1.344714 eta: 23:22:30 batch_cost: 2.1340 data_cost: 0.0026 ips: 29.9901 images/s [10/17 23:33:38] ppdet.engine INFO: Epoch: [133] [100/229] learning_rate: 0.234516 loss_vfl: 0.829928 loss_bbox: 0.316686 loss_dfl: 0.201375 loss: 1.362624 eta: 23:21:44 batch_cost: 2.1293 data_cost: 0.0034 ips: 30.0574 images/s [10/17 23:34:26] ppdet.engine INFO: Epoch: [133] [120/229] learning_rate: 0.234336 loss_vfl: 0.843931 loss_bbox: 0.327083 loss_dfl: 0.203689 loss: 1.378808 eta: 23:20:59 batch_cost: 2.1727 data_cost: 0.0024 ips: 29.4566 images/s [10/17 23:35:13] ppdet.engine INFO: Epoch: [133] [140/229] learning_rate: 0.234156 loss_vfl: 0.835869 loss_bbox: 0.315230 loss_dfl: 0.200257 loss: 1.345314 eta: 23:20:15 batch_cost: 2.2074 data_cost: 0.0023 ips: 28.9928 images/s [10/17 23:36:01] ppdet.engine INFO: Epoch: [133] [160/229] learning_rate: 0.233976 loss_vfl: 0.848816 loss_bbox: 0.323635 loss_dfl: 0.213681 loss: 1.385690 eta: 23:19:31 batch_cost: 2.2084 data_cost: 0.0041 ips: 28.9797 images/s [10/17 23:36:48] ppdet.engine INFO: Epoch: [133] [180/229] learning_rate: 0.233796 loss_vfl: 0.831664 loss_bbox: 0.318155 loss_dfl: 0.198635 loss: 1.348707 eta: 23:18:45 batch_cost: 2.1250 data_cost: 0.0017 ips: 30.1174 images/s [10/17 23:37:34] ppdet.engine INFO: Epoch: [133] [200/229] learning_rate: 0.233615 loss_vfl: 0.832681 loss_bbox: 0.297498 loss_dfl: 0.188209 loss: 1.329852 eta: 23:17:59 batch_cost: 2.1515 data_cost: 0.0034 ips: 29.7466 images/s [10/17 23:38:12] ppdet.engine INFO: Epoch: [133] [220/229] learning_rate: 0.233435 loss_vfl: 0.833426 loss_bbox: 0.307808 loss_dfl: 0.191972 loss: 1.326728 eta: 23:17:04 batch_cost: 1.7430 data_cost: 0.0025 ips: 36.7182 images/s [10/17 23:38:56] ppdet.engine INFO: Epoch: [134] [ 0/229] learning_rate: 0.233354 loss_vfl: 0.830255 loss_bbox: 0.313570 loss_dfl: 0.197066 loss: 1.330858 eta: 23:17:08 batch_cost: 2.7313 data_cost: 1.0539 ips: 23.4321 images/s [10/17 23:39:43] ppdet.engine INFO: Epoch: [134] [ 20/229] learning_rate: 0.233173 loss_vfl: 0.844787 loss_bbox: 0.298456 loss_dfl: 0.197743 loss: 1.350848 eta: 23:16:23 batch_cost: 2.2015 data_cost: 0.0043 ips: 29.0704 images/s [10/17 23:40:31] ppdet.engine INFO: Epoch: [134] [ 40/229] learning_rate: 0.232993 loss_vfl: 0.818163 loss_bbox: 0.302807 loss_dfl: 0.197937 loss: 1.318083 eta: 23:15:37 batch_cost: 2.1112 data_cost: 0.0043 ips: 30.3149 images/s [10/17 23:41:17] ppdet.engine INFO: Epoch: [134] [ 60/229] learning_rate: 0.232813 loss_vfl: 0.842593 loss_bbox: 0.315808 loss_dfl: 0.203813 loss: 1.368530 eta: 23:14:51 batch_cost: 2.1270 data_cost: 0.0053 ips: 30.0888 images/s [10/17 23:42:04] ppdet.engine INFO: Epoch: [134] [ 80/229] learning_rate: 0.232632 loss_vfl: 0.823693 loss_bbox: 0.328155 loss_dfl: 0.205113 loss: 1.361240 eta: 23:14:07 batch_cost: 2.1974 data_cost: 0.0051 ips: 29.1255 images/s [10/17 23:42:51] ppdet.engine INFO: Epoch: [134] [100/229] learning_rate: 0.232452 loss_vfl: 0.840185 loss_bbox: 0.314881 loss_dfl: 0.200832 loss: 1.352017 eta: 23:13:20 batch_cost: 2.1025 data_cost: 0.0057 ips: 30.4399 images/s [10/17 23:43:37] ppdet.engine INFO: Epoch: [134] [120/229] learning_rate: 0.232271 loss_vfl: 0.823777 loss_bbox: 0.328002 loss_dfl: 0.198714 loss: 1.349790 eta: 23:12:35 batch_cost: 2.1557 data_cost: 0.0029 ips: 29.6884 images/s [10/17 23:44:25] ppdet.engine INFO: Epoch: [134] [140/229] learning_rate: 0.232091 loss_vfl: 0.839106 loss_bbox: 0.308893 loss_dfl: 0.198024 loss: 1.381843 eta: 23:11:51 batch_cost: 2.2178 data_cost: 0.0068 ips: 28.8571 images/s [10/17 23:45:13] ppdet.engine INFO: Epoch: [134] [160/229] learning_rate: 0.231910 loss_vfl: 0.830163 loss_bbox: 0.292193 loss_dfl: 0.183709 loss: 1.312052 eta: 23:11:07 batch_cost: 2.2293 data_cost: 0.0021 ips: 28.7091 images/s [10/17 23:45:59] ppdet.engine INFO: Epoch: [134] [180/229] learning_rate: 0.231729 loss_vfl: 0.829962 loss_bbox: 0.321130 loss_dfl: 0.205052 loss: 1.364071 eta: 23:10:22 batch_cost: 2.1349 data_cost: 0.0051 ips: 29.9776 images/s [10/17 23:46:46] ppdet.engine INFO: Epoch: [134] [200/229] learning_rate: 0.231549 loss_vfl: 0.832443 loss_bbox: 0.299286 loss_dfl: 0.193031 loss: 1.328169 eta: 23:09:37 batch_cost: 2.1638 data_cost: 0.0050 ips: 29.5780 images/s [10/17 23:47:24] ppdet.engine INFO: Epoch: [134] [220/229] learning_rate: 0.231368 loss_vfl: 0.826915 loss_bbox: 0.307854 loss_dfl: 0.191109 loss: 1.323611 eta: 23:08:41 batch_cost: 1.7360 data_cost: 0.0016 ips: 36.8657 images/s [10/17 23:48:05] ppdet.engine INFO: Epoch: [135] [ 0/229] learning_rate: 0.231287 loss_vfl: 0.819123 loss_bbox: 0.306325 loss_dfl: 0.187723 loss: 1.323659 eta: 23:08:41 batch_cost: 2.5669 data_cost: 0.8040 ips: 24.9325 images/s [10/17 23:48:55] ppdet.engine INFO: Epoch: [135] [ 20/229] learning_rate: 0.231106 loss_vfl: 0.811366 loss_bbox: 0.325991 loss_dfl: 0.205493 loss: 1.339586 eta: 23:08:00 batch_cost: 2.3234 data_cost: 0.0033 ips: 27.5461 images/s [10/17 23:49:41] ppdet.engine INFO: Epoch: [135] [ 40/229] learning_rate: 0.230926 loss_vfl: 0.840695 loss_bbox: 0.317163 loss_dfl: 0.202603 loss: 1.362488 eta: 23:07:15 batch_cost: 2.1901 data_cost: 0.0042 ips: 29.2229 images/s [10/17 23:50:29] ppdet.engine INFO: Epoch: [135] [ 60/229] learning_rate: 0.230745 loss_vfl: 0.829616 loss_bbox: 0.296611 loss_dfl: 0.189970 loss: 1.335217 eta: 23:06:31 batch_cost: 2.1897 data_cost: 0.0021 ips: 29.2278 images/s [10/17 23:51:15] ppdet.engine INFO: Epoch: [135] [ 80/229] learning_rate: 0.230564 loss_vfl: 0.832596 loss_bbox: 0.330924 loss_dfl: 0.202015 loss: 1.359725 eta: 23:05:45 batch_cost: 2.1518 data_cost: 0.0040 ips: 29.7425 images/s [10/17 23:52:02] ppdet.engine INFO: Epoch: [135] [100/229] learning_rate: 0.230383 loss_vfl: 0.837072 loss_bbox: 0.299648 loss_dfl: 0.192932 loss: 1.343299 eta: 23:05:01 batch_cost: 2.2019 data_cost: 0.0063 ips: 29.0652 images/s [10/17 23:52:49] ppdet.engine INFO: Epoch: [135] [120/229] learning_rate: 0.230202 loss_vfl: 0.817258 loss_bbox: 0.322655 loss_dfl: 0.189251 loss: 1.324829 eta: 23:04:16 batch_cost: 2.1569 data_cost: 0.0022 ips: 29.6723 images/s [10/17 23:53:35] ppdet.engine INFO: Epoch: [135] [140/229] learning_rate: 0.230022 loss_vfl: 0.816082 loss_bbox: 0.309320 loss_dfl: 0.190572 loss: 1.318662 eta: 23:03:30 batch_cost: 2.1497 data_cost: 0.0028 ips: 29.7710 images/s [10/17 23:54:22] ppdet.engine INFO: Epoch: [135] [160/229] learning_rate: 0.229841 loss_vfl: 0.831601 loss_bbox: 0.316017 loss_dfl: 0.206320 loss: 1.349333 eta: 23:02:44 batch_cost: 2.1138 data_cost: 0.0056 ips: 30.2778 images/s [10/17 23:55:08] ppdet.engine INFO: Epoch: [135] [180/229] learning_rate: 0.229660 loss_vfl: 0.841319 loss_bbox: 0.324242 loss_dfl: 0.208782 loss: 1.375976 eta: 23:01:59 batch_cost: 2.1685 data_cost: 0.0031 ips: 29.5134 images/s [10/17 23:55:54] ppdet.engine INFO: Epoch: [135] [200/229] learning_rate: 0.229479 loss_vfl: 0.825362 loss_bbox: 0.329424 loss_dfl: 0.197175 loss: 1.346717 eta: 23:01:12 batch_cost: 2.0966 data_cost: 0.0060 ips: 30.5253 images/s [10/17 23:56:32] ppdet.engine INFO: Epoch: [135] [220/229] learning_rate: 0.229298 loss_vfl: 0.842391 loss_bbox: 0.323191 loss_dfl: 0.196592 loss: 1.341690 eta: 23:00:17 batch_cost: 1.7445 data_cost: 0.0031 ips: 36.6859 images/s [10/17 23:57:17] ppdet.engine INFO: Epoch: [136] [ 0/229] learning_rate: 0.229217 loss_vfl: 0.844711 loss_bbox: 0.320981 loss_dfl: 0.197075 loss: 1.359017 eta: 23:00:21 batch_cost: 2.7932 data_cost: 1.0386 ips: 22.9126 images/s [10/17 23:58:04] ppdet.engine INFO: Epoch: [136] [ 20/229] learning_rate: 0.229036 loss_vfl: 0.817918 loss_bbox: 0.314697 loss_dfl: 0.197200 loss: 1.323078 eta: 22:59:37 batch_cost: 2.2142 data_cost: 0.0023 ips: 28.9042 images/s [10/17 23:58:52] ppdet.engine INFO: Epoch: [136] [ 40/229] learning_rate: 0.228855 loss_vfl: 0.822212 loss_bbox: 0.300765 loss_dfl: 0.191008 loss: 1.312663 eta: 22:58:54 batch_cost: 2.2447 data_cost: 0.0061 ips: 28.5113 images/s [10/17 23:59:39] ppdet.engine INFO: Epoch: [136] [ 60/229] learning_rate: 0.228674 loss_vfl: 0.825405 loss_bbox: 0.314382 loss_dfl: 0.202395 loss: 1.373721 eta: 22:58:10 batch_cost: 2.1882 data_cost: 0.0077 ips: 29.2474 images/s [10/18 00:00:26] ppdet.engine INFO: Epoch: [136] [ 80/229] learning_rate: 0.228493 loss_vfl: 0.824647 loss_bbox: 0.305195 loss_dfl: 0.200033 loss: 1.343851 eta: 22:57:23 batch_cost: 2.1107 data_cost: 0.0032 ips: 30.3214 images/s [10/18 00:01:14] ppdet.engine INFO: Epoch: [136] [100/229] learning_rate: 0.228312 loss_vfl: 0.820641 loss_bbox: 0.328559 loss_dfl: 0.202221 loss: 1.339036 eta: 22:56:40 batch_cost: 2.2468 data_cost: 0.0057 ips: 28.4851 images/s [10/18 00:02:00] ppdet.engine INFO: Epoch: [136] [120/229] learning_rate: 0.228130 loss_vfl: 0.841242 loss_bbox: 0.320864 loss_dfl: 0.205088 loss: 1.347846 eta: 22:55:55 batch_cost: 2.1611 data_cost: 0.0048 ips: 29.6142 images/s [10/18 00:02:47] ppdet.engine INFO: Epoch: [136] [140/229] learning_rate: 0.227949 loss_vfl: 0.839248 loss_bbox: 0.319549 loss_dfl: 0.202791 loss: 1.361043 eta: 22:55:10 batch_cost: 2.1768 data_cost: 0.0039 ips: 29.4007 images/s [10/18 00:03:35] ppdet.engine INFO: Epoch: [136] [160/229] learning_rate: 0.227768 loss_vfl: 0.841054 loss_bbox: 0.315396 loss_dfl: 0.205507 loss: 1.366554 eta: 22:54:25 batch_cost: 2.1680 data_cost: 0.0055 ips: 29.5205 images/s [10/18 00:04:20] ppdet.engine INFO: Epoch: [136] [180/229] learning_rate: 0.227587 loss_vfl: 0.843606 loss_bbox: 0.320465 loss_dfl: 0.198295 loss: 1.348538 eta: 22:53:39 batch_cost: 2.1213 data_cost: 0.0104 ips: 30.1698 images/s [10/18 00:05:07] ppdet.engine INFO: Epoch: [136] [200/229] learning_rate: 0.227406 loss_vfl: 0.840003 loss_bbox: 0.315434 loss_dfl: 0.214671 loss: 1.359100 eta: 22:52:53 batch_cost: 2.1287 data_cost: 0.0058 ips: 30.0650 images/s [10/18 00:05:44] ppdet.engine INFO: Epoch: [136] [220/229] learning_rate: 0.227225 loss_vfl: 0.839748 loss_bbox: 0.299735 loss_dfl: 0.194093 loss: 1.331173 eta: 22:51:58 batch_cost: 1.7433 data_cost: 0.0029 ips: 36.7123 images/s [10/18 00:06:27] ppdet.engine INFO: Epoch: [137] [ 0/229] learning_rate: 0.227143 loss_vfl: 0.839663 loss_bbox: 0.297739 loss_dfl: 0.199610 loss: 1.338138 eta: 22:52:00 batch_cost: 2.6689 data_cost: 0.8465 ips: 23.9800 images/s [10/18 00:07:15] ppdet.engine INFO: Epoch: [137] [ 20/229] learning_rate: 0.226962 loss_vfl: 0.838915 loss_bbox: 0.299463 loss_dfl: 0.198735 loss: 1.310471 eta: 22:51:14 batch_cost: 2.1561 data_cost: 0.0036 ips: 29.6832 images/s [10/18 00:08:02] ppdet.engine INFO: Epoch: [137] [ 40/229] learning_rate: 0.226781 loss_vfl: 0.828306 loss_bbox: 0.314098 loss_dfl: 0.196182 loss: 1.341935 eta: 22:50:30 batch_cost: 2.1783 data_cost: 0.0044 ips: 29.3811 images/s [10/18 00:08:50] ppdet.engine INFO: Epoch: [137] [ 60/229] learning_rate: 0.226599 loss_vfl: 0.838176 loss_bbox: 0.306228 loss_dfl: 0.197573 loss: 1.339866 eta: 22:49:45 batch_cost: 2.2071 data_cost: 0.0046 ips: 28.9979 images/s [10/18 00:09:38] ppdet.engine INFO: Epoch: [137] [ 80/229] learning_rate: 0.226418 loss_vfl: 0.825302 loss_bbox: 0.314300 loss_dfl: 0.189172 loss: 1.320265 eta: 22:49:03 batch_cost: 2.2599 data_cost: 0.0021 ips: 28.3194 images/s [10/18 00:10:25] ppdet.engine INFO: Epoch: [137] [100/229] learning_rate: 0.226237 loss_vfl: 0.835705 loss_bbox: 0.296583 loss_dfl: 0.190852 loss: 1.324006 eta: 22:48:19 batch_cost: 2.2085 data_cost: 0.0044 ips: 28.9787 images/s [10/18 00:11:12] ppdet.engine INFO: Epoch: [137] [120/229] learning_rate: 0.226055 loss_vfl: 0.846233 loss_bbox: 0.317801 loss_dfl: 0.203694 loss: 1.368487 eta: 22:47:32 batch_cost: 2.1132 data_cost: 0.0065 ips: 30.2856 images/s [10/18 00:11:59] ppdet.engine INFO: Epoch: [137] [140/229] learning_rate: 0.225874 loss_vfl: 0.838773 loss_bbox: 0.308515 loss_dfl: 0.195183 loss: 1.340055 eta: 22:46:48 batch_cost: 2.1751 data_cost: 0.0045 ips: 29.4235 images/s [10/18 00:12:45] ppdet.engine INFO: Epoch: [137] [160/229] learning_rate: 0.225693 loss_vfl: 0.830329 loss_bbox: 0.302069 loss_dfl: 0.195368 loss: 1.345898 eta: 22:46:02 batch_cost: 2.1524 data_cost: 0.0028 ips: 29.7346 images/s [10/18 00:13:32] ppdet.engine INFO: Epoch: [137] [180/229] learning_rate: 0.225511 loss_vfl: 0.844801 loss_bbox: 0.308109 loss_dfl: 0.194801 loss: 1.327666 eta: 22:45:18 batch_cost: 2.1960 data_cost: 0.0037 ips: 29.1444 images/s [10/18 00:14:18] ppdet.engine INFO: Epoch: [137] [200/229] learning_rate: 0.225330 loss_vfl: 0.834038 loss_bbox: 0.319682 loss_dfl: 0.198817 loss: 1.353113 eta: 22:44:32 batch_cost: 2.1103 data_cost: 0.0045 ips: 30.3271 images/s [10/18 00:14:56] ppdet.engine INFO: Epoch: [137] [220/229] learning_rate: 0.225148 loss_vfl: 0.828401 loss_bbox: 0.311126 loss_dfl: 0.196723 loss: 1.334309 eta: 22:43:36 batch_cost: 1.7218 data_cost: 0.0070 ips: 37.1695 images/s [10/18 00:15:40] ppdet.engine INFO: Epoch: [138] [ 0/229] learning_rate: 0.225067 loss_vfl: 0.829407 loss_bbox: 0.323065 loss_dfl: 0.201921 loss: 1.352524 eta: 22:43:38 batch_cost: 2.6584 data_cost: 1.0164 ips: 24.0746 images/s [10/18 00:16:27] ppdet.engine INFO: Epoch: [138] [ 20/229] learning_rate: 0.224885 loss_vfl: 0.842652 loss_bbox: 0.302162 loss_dfl: 0.198506 loss: 1.340774 eta: 22:42:53 batch_cost: 2.1761 data_cost: 0.0032 ips: 29.4106 images/s [10/18 00:17:13] ppdet.engine INFO: Epoch: [138] [ 40/229] learning_rate: 0.224704 loss_vfl: 0.833050 loss_bbox: 0.320789 loss_dfl: 0.192087 loss: 1.335518 eta: 22:42:07 batch_cost: 2.1278 data_cost: 0.0044 ips: 30.0779 images/s [10/18 00:17:59] ppdet.engine INFO: Epoch: [138] [ 60/229] learning_rate: 0.224522 loss_vfl: 0.835434 loss_bbox: 0.304133 loss_dfl: 0.195817 loss: 1.316331 eta: 22:41:21 batch_cost: 2.1165 data_cost: 0.0045 ips: 30.2387 images/s [10/18 00:18:46] ppdet.engine INFO: Epoch: [138] [ 80/229] learning_rate: 0.224341 loss_vfl: 0.822675 loss_bbox: 0.308410 loss_dfl: 0.189490 loss: 1.323330 eta: 22:40:35 batch_cost: 2.1377 data_cost: 0.0027 ips: 29.9382 images/s [10/18 00:19:32] ppdet.engine INFO: Epoch: [138] [100/229] learning_rate: 0.224159 loss_vfl: 0.818392 loss_bbox: 0.328583 loss_dfl: 0.200179 loss: 1.348832 eta: 22:39:50 batch_cost: 2.1504 data_cost: 0.0066 ips: 29.7625 images/s [10/18 00:20:19] ppdet.engine INFO: Epoch: [138] [120/229] learning_rate: 0.223977 loss_vfl: 0.829709 loss_bbox: 0.326806 loss_dfl: 0.204089 loss: 1.352932 eta: 22:39:06 batch_cost: 2.1916 data_cost: 0.0025 ips: 29.2021 images/s [10/18 00:21:07] ppdet.engine INFO: Epoch: [138] [140/229] learning_rate: 0.223796 loss_vfl: 0.834309 loss_bbox: 0.297167 loss_dfl: 0.196525 loss: 1.331683 eta: 22:38:22 batch_cost: 2.2238 data_cost: 0.0044 ips: 28.7794 images/s [10/18 00:21:54] ppdet.engine INFO: Epoch: [138] [160/229] learning_rate: 0.223614 loss_vfl: 0.820916 loss_bbox: 0.312172 loss_dfl: 0.200285 loss: 1.333206 eta: 22:37:38 batch_cost: 2.2354 data_cost: 0.0032 ips: 28.6305 images/s [10/18 00:22:41] ppdet.engine INFO: Epoch: [138] [180/229] learning_rate: 0.223433 loss_vfl: 0.846385 loss_bbox: 0.301584 loss_dfl: 0.196386 loss: 1.347535 eta: 22:36:53 batch_cost: 2.1392 data_cost: 0.0024 ips: 29.9175 images/s [10/18 00:23:28] ppdet.engine INFO: Epoch: [138] [200/229] learning_rate: 0.223251 loss_vfl: 0.810742 loss_bbox: 0.310036 loss_dfl: 0.197920 loss: 1.328317 eta: 22:36:09 batch_cost: 2.2287 data_cost: 0.0019 ips: 28.7163 images/s [10/18 00:24:05] ppdet.engine INFO: Epoch: [138] [220/229] learning_rate: 0.223069 loss_vfl: 0.828185 loss_bbox: 0.315056 loss_dfl: 0.203740 loss: 1.358355 eta: 22:35:13 batch_cost: 1.6999 data_cost: 0.0019 ips: 37.6494 images/s [10/18 00:24:48] ppdet.engine INFO: Epoch: [139] [ 0/229] learning_rate: 0.222987 loss_vfl: 0.828185 loss_bbox: 0.314735 loss_dfl: 0.203740 loss: 1.355566 eta: 22:35:14 batch_cost: 2.6213 data_cost: 1.1264 ips: 24.4154 images/s [10/18 00:25:33] ppdet.engine INFO: Epoch: [139] [ 20/229] learning_rate: 0.222806 loss_vfl: 0.820111 loss_bbox: 0.300132 loss_dfl: 0.194462 loss: 1.327890 eta: 22:34:27 batch_cost: 2.0798 data_cost: 0.0034 ips: 30.7727 images/s [10/18 00:26:21] ppdet.engine INFO: Epoch: [139] [ 40/229] learning_rate: 0.222624 loss_vfl: 0.827960 loss_bbox: 0.315998 loss_dfl: 0.199883 loss: 1.341182 eta: 22:33:43 batch_cost: 2.2385 data_cost: 0.0037 ips: 28.5904 images/s [10/18 00:27:07] ppdet.engine INFO: Epoch: [139] [ 60/229] learning_rate: 0.222442 loss_vfl: 0.830661 loss_bbox: 0.321074 loss_dfl: 0.198401 loss: 1.341855 eta: 22:32:59 batch_cost: 2.1893 data_cost: 0.0032 ips: 29.2335 images/s [10/18 00:27:55] ppdet.engine INFO: Epoch: [139] [ 80/229] learning_rate: 0.222260 loss_vfl: 0.815682 loss_bbox: 0.317892 loss_dfl: 0.195385 loss: 1.332758 eta: 22:32:16 batch_cost: 2.2504 data_cost: 0.0053 ips: 28.4397 images/s [10/18 00:28:43] ppdet.engine INFO: Epoch: [139] [100/229] learning_rate: 0.222079 loss_vfl: 0.828756 loss_bbox: 0.301042 loss_dfl: 0.198718 loss: 1.358363 eta: 22:31:31 batch_cost: 2.1876 data_cost: 0.0031 ips: 29.2551 images/s [10/18 00:29:30] ppdet.engine INFO: Epoch: [139] [120/229] learning_rate: 0.221897 loss_vfl: 0.829868 loss_bbox: 0.309742 loss_dfl: 0.191755 loss: 1.338949 eta: 22:30:46 batch_cost: 2.1625 data_cost: 0.0040 ips: 29.5951 images/s [10/18 00:30:17] ppdet.engine INFO: Epoch: [139] [140/229] learning_rate: 0.221715 loss_vfl: 0.826335 loss_bbox: 0.314606 loss_dfl: 0.202871 loss: 1.333865 eta: 22:30:01 batch_cost: 2.1689 data_cost: 0.0019 ips: 29.5075 images/s [10/18 00:31:04] ppdet.engine INFO: Epoch: [139] [160/229] learning_rate: 0.221533 loss_vfl: 0.822298 loss_bbox: 0.297915 loss_dfl: 0.189512 loss: 1.332132 eta: 22:29:16 batch_cost: 2.1721 data_cost: 0.0042 ips: 29.4640 images/s [10/18 00:31:52] ppdet.engine INFO: Epoch: [139] [180/229] learning_rate: 0.221351 loss_vfl: 0.837889 loss_bbox: 0.315109 loss_dfl: 0.198672 loss: 1.345011 eta: 22:28:32 batch_cost: 2.2081 data_cost: 0.0039 ips: 28.9847 images/s [10/18 00:32:38] ppdet.engine INFO: Epoch: [139] [200/229] learning_rate: 0.221169 loss_vfl: 0.826954 loss_bbox: 0.315041 loss_dfl: 0.197187 loss: 1.331216 eta: 22:27:47 batch_cost: 2.1481 data_cost: 0.0044 ips: 29.7940 images/s [10/18 00:33:16] ppdet.engine INFO: Epoch: [139] [220/229] learning_rate: 0.220988 loss_vfl: 0.841546 loss_bbox: 0.310683 loss_dfl: 0.194759 loss: 1.347289 eta: 22:26:52 batch_cost: 1.7586 data_cost: 0.0027 ips: 36.3924 images/s [10/18 00:33:30] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 00:33:31] ppdet.engine INFO: Eval iter: 0 [10/18 00:34:11] ppdet.engine INFO: Eval iter: 100 [10/18 00:34:26] ppdet.engine INFO: Eval iter: 200 [10/18 00:34:40] ppdet.engine INFO: Eval iter: 300 [10/18 00:34:55] ppdet.engine INFO: Eval iter: 400 [10/18 00:35:09] ppdet.engine INFO: Eval iter: 500 [10/18 00:35:24] ppdet.engine INFO: Eval iter: 600 [10/18 00:35:36] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.49s) creating index... index created! [10/18 00:35:36] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.81s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.07s). Accumulating evaluation results... DONE (t=11.49s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.445 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.310 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.091 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 ] = 0.514 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 ] = 0.419 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.446 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 ] = 0.498 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.715 [10/18 00:36:57] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.16875721275782 [10/18 00:36:57] ppdet.engine INFO: Best test bbox ap is 0.298. [10/18 00:36:57] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 00:36:59] ppdet.engine INFO: Epoch: [140] [ 0/229] learning_rate: 0.220906 loss_vfl: 0.827723 loss_bbox: 0.320150 loss_dfl: 0.189672 loss: 1.358547 eta: 22:26:21 batch_cost: 1.2873 data_cost: 0.0012 ips: 49.7158 images/s [10/18 00:37:45] ppdet.engine INFO: Epoch: [140] [ 20/229] learning_rate: 0.220724 loss_vfl: 0.827749 loss_bbox: 0.306026 loss_dfl: 0.196459 loss: 1.339463 eta: 22:25:34 batch_cost: 2.0851 data_cost: 0.0042 ips: 30.6947 images/s [10/18 00:38:32] ppdet.engine INFO: Epoch: [140] [ 40/229] learning_rate: 0.220542 loss_vfl: 0.828600 loss_bbox: 0.310030 loss_dfl: 0.199098 loss: 1.331465 eta: 22:24:50 batch_cost: 2.1833 data_cost: 0.0055 ips: 29.3135 images/s [10/18 00:39:19] ppdet.engine INFO: Epoch: [140] [ 60/229] learning_rate: 0.220360 loss_vfl: 0.840000 loss_bbox: 0.287472 loss_dfl: 0.181924 loss: 1.330312 eta: 22:24:04 batch_cost: 2.1434 data_cost: 0.0030 ips: 29.8593 images/s [10/18 00:40:06] ppdet.engine INFO: Epoch: [140] [ 80/229] learning_rate: 0.220178 loss_vfl: 0.830153 loss_bbox: 0.334022 loss_dfl: 0.212073 loss: 1.384706 eta: 22:23:19 batch_cost: 2.1509 data_cost: 0.0041 ips: 29.7545 images/s [10/18 00:40:54] ppdet.engine INFO: Epoch: [140] [100/229] learning_rate: 0.219996 loss_vfl: 0.827141 loss_bbox: 0.307542 loss_dfl: 0.193537 loss: 1.316621 eta: 22:22:34 batch_cost: 2.1573 data_cost: 0.0033 ips: 29.6662 images/s [10/18 00:41:41] ppdet.engine INFO: Epoch: [140] [120/229] learning_rate: 0.219814 loss_vfl: 0.822141 loss_bbox: 0.316375 loss_dfl: 0.195828 loss: 1.331000 eta: 22:21:49 batch_cost: 2.1623 data_cost: 0.0063 ips: 29.5977 images/s [10/18 00:42:27] ppdet.engine INFO: Epoch: [140] [140/229] learning_rate: 0.219632 loss_vfl: 0.835551 loss_bbox: 0.306068 loss_dfl: 0.195518 loss: 1.302599 eta: 22:21:03 batch_cost: 2.1418 data_cost: 0.0045 ips: 29.8821 images/s [10/18 00:43:15] ppdet.engine INFO: Epoch: [140] [160/229] learning_rate: 0.219450 loss_vfl: 0.828605 loss_bbox: 0.289056 loss_dfl: 0.187843 loss: 1.313730 eta: 22:20:18 batch_cost: 2.1625 data_cost: 0.0048 ips: 29.5953 images/s [10/18 00:44:01] ppdet.engine INFO: Epoch: [140] [180/229] learning_rate: 0.219268 loss_vfl: 0.815328 loss_bbox: 0.286504 loss_dfl: 0.190497 loss: 1.291126 eta: 22:19:33 batch_cost: 2.1494 data_cost: 0.0046 ips: 29.7761 images/s [10/18 00:44:47] ppdet.engine INFO: Epoch: [140] [200/229] learning_rate: 0.219086 loss_vfl: 0.844573 loss_bbox: 0.333980 loss_dfl: 0.207493 loss: 1.337741 eta: 22:18:46 batch_cost: 2.0840 data_cost: 0.0052 ips: 30.7101 images/s [10/18 00:45:25] ppdet.engine INFO: Epoch: [140] [220/229] learning_rate: 0.218904 loss_vfl: 0.830591 loss_bbox: 0.305810 loss_dfl: 0.194104 loss: 1.357772 eta: 22:17:52 batch_cost: 1.7473 data_cost: 0.0043 ips: 36.6277 images/s [10/18 00:46:10] ppdet.engine INFO: Epoch: [141] [ 0/229] learning_rate: 0.218822 loss_vfl: 0.814802 loss_bbox: 0.305309 loss_dfl: 0.194414 loss: 1.347619 eta: 22:17:54 batch_cost: 2.7581 data_cost: 0.9847 ips: 23.2042 images/s [10/18 00:46:57] ppdet.engine INFO: Epoch: [141] [ 20/229] learning_rate: 0.218640 loss_vfl: 0.837675 loss_bbox: 0.293773 loss_dfl: 0.191746 loss: 1.330744 eta: 22:17:10 batch_cost: 2.2020 data_cost: 0.0041 ips: 29.0650 images/s [10/18 00:47:44] ppdet.engine INFO: Epoch: [141] [ 40/229] learning_rate: 0.218457 loss_vfl: 0.818344 loss_bbox: 0.298947 loss_dfl: 0.192354 loss: 1.312713 eta: 22:16:25 batch_cost: 2.1609 data_cost: 0.0060 ips: 29.6176 images/s [10/18 00:48:31] ppdet.engine INFO: Epoch: [141] [ 60/229] learning_rate: 0.218275 loss_vfl: 0.809605 loss_bbox: 0.294740 loss_dfl: 0.191400 loss: 1.296173 eta: 22:15:40 batch_cost: 2.1458 data_cost: 0.0034 ips: 29.8260 images/s [10/18 00:49:18] ppdet.engine INFO: Epoch: [141] [ 80/229] learning_rate: 0.218093 loss_vfl: 0.832136 loss_bbox: 0.318128 loss_dfl: 0.210871 loss: 1.364611 eta: 22:14:55 batch_cost: 2.1740 data_cost: 0.0031 ips: 29.4392 images/s [10/18 00:50:04] ppdet.engine INFO: Epoch: [141] [100/229] learning_rate: 0.217911 loss_vfl: 0.836525 loss_bbox: 0.319108 loss_dfl: 0.198486 loss: 1.341132 eta: 22:14:08 batch_cost: 2.0804 data_cost: 0.0069 ips: 30.7632 images/s [10/18 00:50:51] ppdet.engine INFO: Epoch: [141] [120/229] learning_rate: 0.217729 loss_vfl: 0.829571 loss_bbox: 0.314558 loss_dfl: 0.200140 loss: 1.352671 eta: 22:13:23 batch_cost: 2.1782 data_cost: 0.0019 ips: 29.3815 images/s [10/18 00:51:36] ppdet.engine INFO: Epoch: [141] [140/229] learning_rate: 0.217547 loss_vfl: 0.821551 loss_bbox: 0.317998 loss_dfl: 0.194503 loss: 1.346633 eta: 22:12:36 batch_cost: 2.0427 data_cost: 0.0042 ips: 31.3306 images/s [10/18 00:52:23] ppdet.engine INFO: Epoch: [141] [160/229] learning_rate: 0.217364 loss_vfl: 0.844418 loss_bbox: 0.315747 loss_dfl: 0.201089 loss: 1.355402 eta: 22:11:51 batch_cost: 2.1581 data_cost: 0.0038 ips: 29.6552 images/s [10/18 00:53:08] ppdet.engine INFO: Epoch: [141] [180/229] learning_rate: 0.217182 loss_vfl: 0.813078 loss_bbox: 0.293087 loss_dfl: 0.194584 loss: 1.302321 eta: 22:11:05 batch_cost: 2.1306 data_cost: 0.0027 ips: 30.0385 images/s [10/18 00:53:54] ppdet.engine INFO: Epoch: [141] [200/229] learning_rate: 0.217000 loss_vfl: 0.819259 loss_bbox: 0.329549 loss_dfl: 0.205295 loss: 1.352792 eta: 22:10:18 batch_cost: 2.0586 data_cost: 0.0022 ips: 31.0897 images/s [10/18 00:54:32] ppdet.engine INFO: Epoch: [141] [220/229] learning_rate: 0.216818 loss_vfl: 0.846568 loss_bbox: 0.303240 loss_dfl: 0.195910 loss: 1.337175 eta: 22:09:22 batch_cost: 1.7022 data_cost: 0.0018 ips: 37.5975 images/s [10/18 00:55:14] ppdet.engine INFO: Epoch: [142] [ 0/229] learning_rate: 0.216736 loss_vfl: 0.849749 loss_bbox: 0.297756 loss_dfl: 0.194347 loss: 1.353079 eta: 22:09:20 batch_cost: 2.5536 data_cost: 0.9464 ips: 25.0625 images/s [10/18 00:56:02] ppdet.engine INFO: Epoch: [142] [ 20/229] learning_rate: 0.216553 loss_vfl: 0.814182 loss_bbox: 0.315231 loss_dfl: 0.198440 loss: 1.322494 eta: 22:08:36 batch_cost: 2.2011 data_cost: 0.0035 ips: 29.0766 images/s [10/18 00:56:49] ppdet.engine INFO: Epoch: [142] [ 40/229] learning_rate: 0.216371 loss_vfl: 0.816732 loss_bbox: 0.324397 loss_dfl: 0.197485 loss: 1.322694 eta: 22:07:52 batch_cost: 2.2124 data_cost: 0.0032 ips: 28.9275 images/s [10/18 00:57:36] ppdet.engine INFO: Epoch: [142] [ 60/229] learning_rate: 0.216189 loss_vfl: 0.819032 loss_bbox: 0.313611 loss_dfl: 0.193953 loss: 1.315665 eta: 22:07:07 batch_cost: 2.1690 data_cost: 0.0043 ips: 29.5069 images/s [10/18 00:58:24] ppdet.engine INFO: Epoch: [142] [ 80/229] learning_rate: 0.216006 loss_vfl: 0.824933 loss_bbox: 0.321318 loss_dfl: 0.196344 loss: 1.342509 eta: 22:06:23 batch_cost: 2.1999 data_cost: 0.0028 ips: 29.0920 images/s [10/18 00:59:11] ppdet.engine INFO: Epoch: [142] [100/229] learning_rate: 0.215824 loss_vfl: 0.823981 loss_bbox: 0.299634 loss_dfl: 0.193311 loss: 1.327725 eta: 22:05:37 batch_cost: 2.1375 data_cost: 0.0021 ips: 29.9418 images/s [10/18 00:59:57] ppdet.engine INFO: Epoch: [142] [120/229] learning_rate: 0.215642 loss_vfl: 0.828157 loss_bbox: 0.313263 loss_dfl: 0.197917 loss: 1.343408 eta: 22:04:52 batch_cost: 2.1337 data_cost: 0.0038 ips: 29.9951 images/s [10/18 01:00:44] ppdet.engine INFO: Epoch: [142] [140/229] learning_rate: 0.215459 loss_vfl: 0.843443 loss_bbox: 0.312233 loss_dfl: 0.192899 loss: 1.349998 eta: 22:04:05 batch_cost: 2.0740 data_cost: 0.0049 ips: 30.8580 images/s [10/18 01:01:31] ppdet.engine INFO: Epoch: [142] [160/229] learning_rate: 0.215277 loss_vfl: 0.838338 loss_bbox: 0.322658 loss_dfl: 0.200723 loss: 1.364649 eta: 22:03:20 batch_cost: 2.1924 data_cost: 0.0043 ips: 29.1918 images/s [10/18 01:02:18] ppdet.engine INFO: Epoch: [142] [180/229] learning_rate: 0.215095 loss_vfl: 0.821963 loss_bbox: 0.316166 loss_dfl: 0.200831 loss: 1.341846 eta: 22:02:36 batch_cost: 2.1831 data_cost: 0.0062 ips: 29.3160 images/s [10/18 01:03:04] ppdet.engine INFO: Epoch: [142] [200/229] learning_rate: 0.214912 loss_vfl: 0.840470 loss_bbox: 0.299852 loss_dfl: 0.197426 loss: 1.333361 eta: 22:01:51 batch_cost: 2.1673 data_cost: 0.0022 ips: 29.5300 images/s [10/18 01:03:42] ppdet.engine INFO: Epoch: [142] [220/229] learning_rate: 0.214730 loss_vfl: 0.822304 loss_bbox: 0.317625 loss_dfl: 0.204663 loss: 1.347869 eta: 22:00:57 batch_cost: 1.7621 data_cost: 0.0040 ips: 36.3209 images/s [10/18 01:04:27] ppdet.engine INFO: Epoch: [143] [ 0/229] learning_rate: 0.214648 loss_vfl: 0.827468 loss_bbox: 0.332650 loss_dfl: 0.207308 loss: 1.371534 eta: 22:00:59 batch_cost: 2.7960 data_cost: 0.8167 ips: 22.8901 images/s [10/18 01:05:14] ppdet.engine INFO: Epoch: [143] [ 20/229] learning_rate: 0.214465 loss_vfl: 0.820894 loss_bbox: 0.308321 loss_dfl: 0.199902 loss: 1.326697 eta: 22:00:13 batch_cost: 2.1257 data_cost: 0.0038 ips: 30.1077 images/s [10/18 01:06:02] ppdet.engine INFO: Epoch: [143] [ 40/229] learning_rate: 0.214283 loss_vfl: 0.832612 loss_bbox: 0.307605 loss_dfl: 0.197791 loss: 1.329957 eta: 21:59:29 batch_cost: 2.1920 data_cost: 0.0049 ips: 29.1966 images/s [10/18 01:06:49] ppdet.engine INFO: Epoch: [143] [ 60/229] learning_rate: 0.214100 loss_vfl: 0.821578 loss_bbox: 0.316548 loss_dfl: 0.192997 loss: 1.316488 eta: 21:58:45 batch_cost: 2.2277 data_cost: 0.0037 ips: 28.7291 images/s [10/18 01:07:36] ppdet.engine INFO: Epoch: [143] [ 80/229] learning_rate: 0.213918 loss_vfl: 0.817226 loss_bbox: 0.316162 loss_dfl: 0.191703 loss: 1.336545 eta: 21:58:00 batch_cost: 2.1343 data_cost: 0.0039 ips: 29.9858 images/s [10/18 01:08:23] ppdet.engine INFO: Epoch: [143] [100/229] learning_rate: 0.213735 loss_vfl: 0.829713 loss_bbox: 0.299069 loss_dfl: 0.197000 loss: 1.333230 eta: 21:57:14 batch_cost: 2.1304 data_cost: 0.0046 ips: 30.0414 images/s [10/18 01:09:09] ppdet.engine INFO: Epoch: [143] [120/229] learning_rate: 0.213553 loss_vfl: 0.821403 loss_bbox: 0.301830 loss_dfl: 0.201745 loss: 1.353202 eta: 21:56:28 batch_cost: 2.1046 data_cost: 0.0033 ips: 30.4101 images/s [10/18 01:09:56] ppdet.engine INFO: Epoch: [143] [140/229] learning_rate: 0.213370 loss_vfl: 0.837940 loss_bbox: 0.297534 loss_dfl: 0.189722 loss: 1.317520 eta: 21:55:43 batch_cost: 2.1616 data_cost: 0.0067 ips: 29.6074 images/s [10/18 01:10:44] ppdet.engine INFO: Epoch: [143] [160/229] learning_rate: 0.213188 loss_vfl: 0.819510 loss_bbox: 0.314640 loss_dfl: 0.191996 loss: 1.331257 eta: 21:54:59 batch_cost: 2.2137 data_cost: 0.0056 ips: 28.9104 images/s [10/18 01:11:31] ppdet.engine INFO: Epoch: [143] [180/229] learning_rate: 0.213005 loss_vfl: 0.816189 loss_bbox: 0.302779 loss_dfl: 0.189984 loss: 1.306295 eta: 21:54:14 batch_cost: 2.1814 data_cost: 0.0048 ips: 29.3386 images/s [10/18 01:12:18] ppdet.engine INFO: Epoch: [143] [200/229] learning_rate: 0.212823 loss_vfl: 0.831766 loss_bbox: 0.304147 loss_dfl: 0.192898 loss: 1.337461 eta: 21:53:30 batch_cost: 2.1839 data_cost: 0.0042 ips: 29.3057 images/s [10/18 01:12:57] ppdet.engine INFO: Epoch: [143] [220/229] learning_rate: 0.212640 loss_vfl: 0.821287 loss_bbox: 0.314328 loss_dfl: 0.197078 loss: 1.331160 eta: 21:52:36 batch_cost: 1.7590 data_cost: 0.0052 ips: 36.3844 images/s [10/18 01:13:39] ppdet.engine INFO: Epoch: [144] [ 0/229] learning_rate: 0.212558 loss_vfl: 0.831947 loss_bbox: 0.306527 loss_dfl: 0.196500 loss: 1.342156 eta: 21:52:35 batch_cost: 2.6817 data_cost: 0.9984 ips: 23.8650 images/s [10/18 01:14:28] ppdet.engine INFO: Epoch: [144] [ 20/229] learning_rate: 0.212376 loss_vfl: 0.817042 loss_bbox: 0.332348 loss_dfl: 0.203902 loss: 1.355850 eta: 21:51:52 batch_cost: 2.2459 data_cost: 0.0045 ips: 28.4968 images/s [10/18 01:15:14] ppdet.engine INFO: Epoch: [144] [ 40/229] learning_rate: 0.212193 loss_vfl: 0.822268 loss_bbox: 0.297598 loss_dfl: 0.191521 loss: 1.308598 eta: 21:51:07 batch_cost: 2.1479 data_cost: 0.0039 ips: 29.7966 images/s [10/18 01:16:01] ppdet.engine INFO: Epoch: [144] [ 60/229] learning_rate: 0.212010 loss_vfl: 0.813799 loss_bbox: 0.324676 loss_dfl: 0.196828 loss: 1.316408 eta: 21:50:22 batch_cost: 2.1955 data_cost: 0.0034 ips: 29.1509 images/s [10/18 01:16:48] ppdet.engine INFO: Epoch: [144] [ 80/229] learning_rate: 0.211828 loss_vfl: 0.821576 loss_bbox: 0.314534 loss_dfl: 0.200961 loss: 1.337752 eta: 21:49:38 batch_cost: 2.1897 data_cost: 0.0030 ips: 29.2276 images/s [10/18 01:17:35] ppdet.engine INFO: Epoch: [144] [100/229] learning_rate: 0.211645 loss_vfl: 0.821373 loss_bbox: 0.303574 loss_dfl: 0.196332 loss: 1.317317 eta: 21:48:54 batch_cost: 2.1891 data_cost: 0.0043 ips: 29.2363 images/s [10/18 01:18:21] ppdet.engine INFO: Epoch: [144] [120/229] learning_rate: 0.211463 loss_vfl: 0.839912 loss_bbox: 0.322659 loss_dfl: 0.206253 loss: 1.353489 eta: 21:48:07 batch_cost: 2.0963 data_cost: 0.0050 ips: 30.5303 images/s [10/18 01:19:09] ppdet.engine INFO: Epoch: [144] [140/229] learning_rate: 0.211280 loss_vfl: 0.824878 loss_bbox: 0.297868 loss_dfl: 0.194907 loss: 1.325732 eta: 21:47:24 batch_cost: 2.2393 data_cost: 0.0025 ips: 28.5803 images/s [10/18 01:19:56] ppdet.engine INFO: Epoch: [144] [160/229] learning_rate: 0.211097 loss_vfl: 0.835892 loss_bbox: 0.316665 loss_dfl: 0.200405 loss: 1.358133 eta: 21:46:40 batch_cost: 2.1989 data_cost: 0.0061 ips: 29.1055 images/s [10/18 01:20:43] ppdet.engine INFO: Epoch: [144] [180/229] learning_rate: 0.210915 loss_vfl: 0.825669 loss_bbox: 0.316604 loss_dfl: 0.193344 loss: 1.334790 eta: 21:45:54 batch_cost: 2.1516 data_cost: 0.0048 ips: 29.7455 images/s [10/18 01:21:30] ppdet.engine INFO: Epoch: [144] [200/229] learning_rate: 0.210732 loss_vfl: 0.837008 loss_bbox: 0.327682 loss_dfl: 0.202864 loss: 1.373568 eta: 21:45:10 batch_cost: 2.1871 data_cost: 0.0069 ips: 29.2628 images/s [10/18 01:22:08] ppdet.engine INFO: Epoch: [144] [220/229] learning_rate: 0.210549 loss_vfl: 0.819412 loss_bbox: 0.301306 loss_dfl: 0.197552 loss: 1.311490 eta: 21:44:16 batch_cost: 1.7684 data_cost: 0.0040 ips: 36.1914 images/s [10/18 01:22:51] ppdet.engine INFO: Epoch: [145] [ 0/229] learning_rate: 0.210467 loss_vfl: 0.837989 loss_bbox: 0.295283 loss_dfl: 0.193936 loss: 1.337146 eta: 21:44:14 batch_cost: 2.6130 data_cost: 0.6378 ips: 24.4934 images/s [10/18 01:23:38] ppdet.engine INFO: Epoch: [145] [ 20/229] learning_rate: 0.210285 loss_vfl: 0.814229 loss_bbox: 0.293951 loss_dfl: 0.190317 loss: 1.304927 eta: 21:43:29 batch_cost: 2.1406 data_cost: 0.0058 ips: 29.8980 images/s [10/18 01:24:24] ppdet.engine INFO: Epoch: [145] [ 40/229] learning_rate: 0.210102 loss_vfl: 0.850120 loss_bbox: 0.305582 loss_dfl: 0.195670 loss: 1.353027 eta: 21:42:43 batch_cost: 2.1354 data_cost: 0.0029 ips: 29.9711 images/s [10/18 01:25:11] ppdet.engine INFO: Epoch: [145] [ 60/229] learning_rate: 0.209919 loss_vfl: 0.829420 loss_bbox: 0.305437 loss_dfl: 0.192631 loss: 1.325092 eta: 21:41:57 batch_cost: 2.1032 data_cost: 0.0113 ips: 30.4294 images/s [10/18 01:25:58] ppdet.engine INFO: Epoch: [145] [ 80/229] learning_rate: 0.209736 loss_vfl: 0.813991 loss_bbox: 0.315713 loss_dfl: 0.200545 loss: 1.322765 eta: 21:41:11 batch_cost: 2.1265 data_cost: 0.0045 ips: 30.0964 images/s [10/18 01:26:46] ppdet.engine INFO: Epoch: [145] [100/229] learning_rate: 0.209554 loss_vfl: 0.832121 loss_bbox: 0.300498 loss_dfl: 0.196439 loss: 1.326181 eta: 21:40:27 batch_cost: 2.2126 data_cost: 0.0033 ips: 28.9252 images/s [10/18 01:27:33] ppdet.engine INFO: Epoch: [145] [120/229] learning_rate: 0.209371 loss_vfl: 0.826524 loss_bbox: 0.305905 loss_dfl: 0.195424 loss: 1.333576 eta: 21:39:41 batch_cost: 2.1176 data_cost: 0.0052 ips: 30.2224 images/s [10/18 01:28:20] ppdet.engine INFO: Epoch: [145] [140/229] learning_rate: 0.209188 loss_vfl: 0.820902 loss_bbox: 0.321682 loss_dfl: 0.202060 loss: 1.361215 eta: 21:38:57 batch_cost: 2.2058 data_cost: 0.0038 ips: 29.0143 images/s [10/18 01:29:06] ppdet.engine INFO: Epoch: [145] [160/229] learning_rate: 0.209006 loss_vfl: 0.819697 loss_bbox: 0.298542 loss_dfl: 0.196139 loss: 1.332408 eta: 21:38:12 batch_cost: 2.1224 data_cost: 0.0016 ips: 30.1545 images/s [10/18 01:29:53] ppdet.engine INFO: Epoch: [145] [180/229] learning_rate: 0.208823 loss_vfl: 0.839788 loss_bbox: 0.319012 loss_dfl: 0.196084 loss: 1.348309 eta: 21:37:26 batch_cost: 2.1524 data_cost: 0.0039 ips: 29.7341 images/s [10/18 01:30:40] ppdet.engine INFO: Epoch: [145] [200/229] learning_rate: 0.208640 loss_vfl: 0.820530 loss_bbox: 0.325437 loss_dfl: 0.197743 loss: 1.344147 eta: 21:36:41 batch_cost: 2.1502 data_cost: 0.0053 ips: 29.7650 images/s [10/18 01:31:19] ppdet.engine INFO: Epoch: [145] [220/229] learning_rate: 0.208457 loss_vfl: 0.833954 loss_bbox: 0.305627 loss_dfl: 0.203113 loss: 1.348894 eta: 21:35:48 batch_cost: 1.7973 data_cost: 0.0058 ips: 35.6084 images/s [10/18 01:32:00] ppdet.engine INFO: Epoch: [146] [ 0/229] learning_rate: 0.208375 loss_vfl: 0.818719 loss_bbox: 0.310342 loss_dfl: 0.205733 loss: 1.354551 eta: 21:35:46 batch_cost: 2.6310 data_cost: 0.7101 ips: 24.3253 images/s [10/18 01:32:50] ppdet.engine INFO: Epoch: [146] [ 20/229] learning_rate: 0.208192 loss_vfl: 0.829697 loss_bbox: 0.299544 loss_dfl: 0.189313 loss: 1.329515 eta: 21:35:05 batch_cost: 2.3403 data_cost: 0.0049 ips: 27.3469 images/s [10/18 01:33:37] ppdet.engine INFO: Epoch: [146] [ 40/229] learning_rate: 0.208010 loss_vfl: 0.811739 loss_bbox: 0.301999 loss_dfl: 0.188191 loss: 1.309081 eta: 21:34:19 batch_cost: 2.1100 data_cost: 0.0053 ips: 30.3315 images/s [10/18 01:34:24] ppdet.engine INFO: Epoch: [146] [ 60/229] learning_rate: 0.207827 loss_vfl: 0.814909 loss_bbox: 0.298544 loss_dfl: 0.194525 loss: 1.313586 eta: 21:33:34 batch_cost: 2.1658 data_cost: 0.0027 ips: 29.5506 images/s [10/18 01:35:12] ppdet.engine INFO: Epoch: [146] [ 80/229] learning_rate: 0.207644 loss_vfl: 0.808797 loss_bbox: 0.306066 loss_dfl: 0.194793 loss: 1.321530 eta: 21:32:50 batch_cost: 2.2398 data_cost: 0.0039 ips: 28.5735 images/s [10/18 01:35:59] ppdet.engine INFO: Epoch: [146] [100/229] learning_rate: 0.207461 loss_vfl: 0.822539 loss_bbox: 0.320899 loss_dfl: 0.205412 loss: 1.358448 eta: 21:32:05 batch_cost: 2.1584 data_cost: 0.0034 ips: 29.6517 images/s [10/18 01:36:46] ppdet.engine INFO: Epoch: [146] [120/229] learning_rate: 0.207278 loss_vfl: 0.817394 loss_bbox: 0.311549 loss_dfl: 0.194170 loss: 1.328102 eta: 21:31:21 batch_cost: 2.2050 data_cost: 0.0023 ips: 29.0255 images/s [10/18 01:37:33] ppdet.engine INFO: Epoch: [146] [140/229] learning_rate: 0.207096 loss_vfl: 0.836874 loss_bbox: 0.282496 loss_dfl: 0.185241 loss: 1.306742 eta: 21:30:37 batch_cost: 2.2156 data_cost: 0.0038 ips: 28.8859 images/s [10/18 01:38:19] ppdet.engine INFO: Epoch: [146] [160/229] learning_rate: 0.206913 loss_vfl: 0.842478 loss_bbox: 0.316139 loss_dfl: 0.198903 loss: 1.360048 eta: 21:29:50 batch_cost: 2.0495 data_cost: 0.0047 ips: 31.2273 images/s [10/18 01:39:05] ppdet.engine INFO: Epoch: [146] [180/229] learning_rate: 0.206730 loss_vfl: 0.838058 loss_bbox: 0.299515 loss_dfl: 0.194420 loss: 1.307820 eta: 21:29:04 batch_cost: 2.1157 data_cost: 0.0017 ips: 30.2504 images/s [10/18 01:39:52] ppdet.engine INFO: Epoch: [146] [200/229] learning_rate: 0.206547 loss_vfl: 0.817530 loss_bbox: 0.307386 loss_dfl: 0.199807 loss: 1.332297 eta: 21:28:20 batch_cost: 2.1943 data_cost: 0.0034 ips: 29.1661 images/s [10/18 01:40:30] ppdet.engine INFO: Epoch: [146] [220/229] learning_rate: 0.206364 loss_vfl: 0.811918 loss_bbox: 0.307397 loss_dfl: 0.191264 loss: 1.336014 eta: 21:27:26 batch_cost: 1.7637 data_cost: 0.0030 ips: 36.2876 images/s [10/18 01:41:14] ppdet.engine INFO: Epoch: [147] [ 0/229] learning_rate: 0.206282 loss_vfl: 0.804855 loss_bbox: 0.301759 loss_dfl: 0.195341 loss: 1.313413 eta: 21:27:27 batch_cost: 2.7497 data_cost: 1.1904 ips: 23.2752 images/s [10/18 01:42:00] ppdet.engine INFO: Epoch: [147] [ 20/229] learning_rate: 0.206099 loss_vfl: 0.816970 loss_bbox: 0.298153 loss_dfl: 0.189916 loss: 1.301159 eta: 21:26:41 batch_cost: 2.1303 data_cost: 0.0021 ips: 30.0431 images/s [10/18 01:42:49] ppdet.engine INFO: Epoch: [147] [ 40/229] learning_rate: 0.205916 loss_vfl: 0.809196 loss_bbox: 0.298958 loss_dfl: 0.193590 loss: 1.317104 eta: 21:25:57 batch_cost: 2.1768 data_cost: 0.0019 ips: 29.4016 images/s [10/18 01:43:36] ppdet.engine INFO: Epoch: [147] [ 60/229] learning_rate: 0.205734 loss_vfl: 0.824533 loss_bbox: 0.316163 loss_dfl: 0.200981 loss: 1.359213 eta: 21:25:12 batch_cost: 2.1903 data_cost: 0.0031 ips: 29.2202 images/s [10/18 01:44:23] ppdet.engine INFO: Epoch: [147] [ 80/229] learning_rate: 0.205551 loss_vfl: 0.831450 loss_bbox: 0.335386 loss_dfl: 0.201052 loss: 1.358590 eta: 21:24:28 batch_cost: 2.2124 data_cost: 0.0020 ips: 28.9279 images/s [10/18 01:45:10] ppdet.engine INFO: Epoch: [147] [100/229] learning_rate: 0.205368 loss_vfl: 0.823408 loss_bbox: 0.306123 loss_dfl: 0.187484 loss: 1.312126 eta: 21:23:44 batch_cost: 2.1825 data_cost: 0.0023 ips: 29.3236 images/s [10/18 01:45:57] ppdet.engine INFO: Epoch: [147] [120/229] learning_rate: 0.205185 loss_vfl: 0.820987 loss_bbox: 0.308215 loss_dfl: 0.202318 loss: 1.338536 eta: 21:22:59 batch_cost: 2.1721 data_cost: 0.0027 ips: 29.4652 images/s [10/18 01:46:44] ppdet.engine INFO: Epoch: [147] [140/229] learning_rate: 0.205002 loss_vfl: 0.826216 loss_bbox: 0.324762 loss_dfl: 0.198761 loss: 1.348409 eta: 21:22:16 batch_cost: 2.2361 data_cost: 0.0033 ips: 28.6213 images/s [10/18 01:47:31] ppdet.engine INFO: Epoch: [147] [160/229] learning_rate: 0.204819 loss_vfl: 0.841220 loss_bbox: 0.304877 loss_dfl: 0.204591 loss: 1.338634 eta: 21:21:31 batch_cost: 2.1673 data_cost: 0.0040 ips: 29.5301 images/s [10/18 01:48:17] ppdet.engine INFO: Epoch: [147] [180/229] learning_rate: 0.204637 loss_vfl: 0.827826 loss_bbox: 0.312138 loss_dfl: 0.197152 loss: 1.338589 eta: 21:20:45 batch_cost: 2.1230 data_cost: 0.0028 ips: 30.1464 images/s [10/18 01:49:03] ppdet.engine INFO: Epoch: [147] [200/229] learning_rate: 0.204454 loss_vfl: 0.809146 loss_bbox: 0.311898 loss_dfl: 0.194804 loss: 1.308393 eta: 21:19:59 batch_cost: 2.1344 data_cost: 0.0030 ips: 29.9849 images/s [10/18 01:49:41] ppdet.engine INFO: Epoch: [147] [220/229] learning_rate: 0.204271 loss_vfl: 0.819821 loss_bbox: 0.333299 loss_dfl: 0.205911 loss: 1.367060 eta: 21:19:07 batch_cost: 1.7926 data_cost: 0.0019 ips: 35.7028 images/s [10/18 01:50:25] ppdet.engine INFO: Epoch: [148] [ 0/229] learning_rate: 0.204188 loss_vfl: 0.815653 loss_bbox: 0.329732 loss_dfl: 0.202064 loss: 1.364267 eta: 21:19:06 batch_cost: 2.6964 data_cost: 1.1442 ips: 23.7356 images/s [10/18 01:51:12] ppdet.engine INFO: Epoch: [148] [ 20/229] learning_rate: 0.204006 loss_vfl: 0.818640 loss_bbox: 0.301834 loss_dfl: 0.192054 loss: 1.304678 eta: 21:18:21 batch_cost: 2.1858 data_cost: 0.0045 ips: 29.2798 images/s [10/18 01:51:59] ppdet.engine INFO: Epoch: [148] [ 40/229] learning_rate: 0.203823 loss_vfl: 0.826487 loss_bbox: 0.297051 loss_dfl: 0.192515 loss: 1.312664 eta: 21:17:37 batch_cost: 2.2058 data_cost: 0.0027 ips: 29.0141 images/s [10/18 01:52:46] ppdet.engine INFO: Epoch: [148] [ 60/229] learning_rate: 0.203640 loss_vfl: 0.828964 loss_bbox: 0.297055 loss_dfl: 0.191881 loss: 1.322810 eta: 21:16:53 batch_cost: 2.1781 data_cost: 0.0034 ips: 29.3831 images/s [10/18 01:53:33] ppdet.engine INFO: Epoch: [148] [ 80/229] learning_rate: 0.203457 loss_vfl: 0.820549 loss_bbox: 0.308329 loss_dfl: 0.198718 loss: 1.319217 eta: 21:16:08 batch_cost: 2.1781 data_cost: 0.0026 ips: 29.3839 images/s [10/18 01:54:19] ppdet.engine INFO: Epoch: [148] [100/229] learning_rate: 0.203274 loss_vfl: 0.806234 loss_bbox: 0.314604 loss_dfl: 0.201661 loss: 1.340824 eta: 21:15:24 batch_cost: 2.1875 data_cost: 0.0038 ips: 29.2569 images/s [10/18 01:55:07] ppdet.engine INFO: Epoch: [148] [120/229] learning_rate: 0.203091 loss_vfl: 0.822415 loss_bbox: 0.312074 loss_dfl: 0.195430 loss: 1.318727 eta: 21:14:40 batch_cost: 2.2144 data_cost: 0.0038 ips: 28.9014 images/s [10/18 01:55:55] ppdet.engine INFO: Epoch: [148] [140/229] learning_rate: 0.202908 loss_vfl: 0.852304 loss_bbox: 0.309121 loss_dfl: 0.205483 loss: 1.356316 eta: 21:13:53 batch_cost: 2.0805 data_cost: 0.0032 ips: 30.7624 images/s [10/18 01:56:42] ppdet.engine INFO: Epoch: [148] [160/229] learning_rate: 0.202725 loss_vfl: 0.830961 loss_bbox: 0.318895 loss_dfl: 0.201481 loss: 1.339468 eta: 21:13:08 batch_cost: 2.1674 data_cost: 0.0040 ips: 29.5289 images/s [10/18 01:57:29] ppdet.engine INFO: Epoch: [148] [180/229] learning_rate: 0.202542 loss_vfl: 0.846421 loss_bbox: 0.298129 loss_dfl: 0.185334 loss: 1.311007 eta: 21:12:24 batch_cost: 2.1854 data_cost: 0.0040 ips: 29.2853 images/s [10/18 01:58:16] ppdet.engine INFO: Epoch: [148] [200/229] learning_rate: 0.202360 loss_vfl: 0.840074 loss_bbox: 0.319342 loss_dfl: 0.202738 loss: 1.355668 eta: 21:11:38 batch_cost: 2.1049 data_cost: 0.0021 ips: 30.4050 images/s [10/18 01:58:53] ppdet.engine INFO: Epoch: [148] [220/229] learning_rate: 0.202177 loss_vfl: 0.817209 loss_bbox: 0.304656 loss_dfl: 0.195018 loss: 1.311016 eta: 21:10:44 batch_cost: 1.7194 data_cost: 0.0064 ips: 37.2213 images/s [10/18 01:59:36] ppdet.engine INFO: Epoch: [149] [ 0/229] learning_rate: 0.202094 loss_vfl: 0.825378 loss_bbox: 0.310504 loss_dfl: 0.196727 loss: 1.321287 eta: 21:10:42 batch_cost: 2.6468 data_cost: 0.8991 ips: 24.1800 images/s [10/18 02:00:24] ppdet.engine INFO: Epoch: [149] [ 20/229] learning_rate: 0.201911 loss_vfl: 0.854085 loss_bbox: 0.296972 loss_dfl: 0.187271 loss: 1.335904 eta: 21:09:59 batch_cost: 2.2552 data_cost: 0.0033 ips: 28.3791 images/s [10/18 02:01:12] ppdet.engine INFO: Epoch: [149] [ 40/229] learning_rate: 0.201729 loss_vfl: 0.815966 loss_bbox: 0.298680 loss_dfl: 0.196024 loss: 1.316170 eta: 21:09:14 batch_cost: 2.1806 data_cost: 0.0027 ips: 29.3500 images/s [10/18 02:01:59] ppdet.engine INFO: Epoch: [149] [ 60/229] learning_rate: 0.201546 loss_vfl: 0.823390 loss_bbox: 0.304828 loss_dfl: 0.195569 loss: 1.310190 eta: 21:08:30 batch_cost: 2.1885 data_cost: 0.0018 ips: 29.2432 images/s [10/18 02:02:47] ppdet.engine INFO: Epoch: [149] [ 80/229] learning_rate: 0.201363 loss_vfl: 0.818099 loss_bbox: 0.293387 loss_dfl: 0.183522 loss: 1.300164 eta: 21:07:46 batch_cost: 2.2269 data_cost: 0.0037 ips: 28.7393 images/s [10/18 02:03:34] ppdet.engine INFO: Epoch: [149] [100/229] learning_rate: 0.201180 loss_vfl: 0.835109 loss_bbox: 0.304076 loss_dfl: 0.191476 loss: 1.319817 eta: 21:07:01 batch_cost: 2.1742 data_cost: 0.0035 ips: 29.4368 images/s [10/18 02:04:22] ppdet.engine INFO: Epoch: [149] [120/229] learning_rate: 0.200997 loss_vfl: 0.814782 loss_bbox: 0.306566 loss_dfl: 0.193886 loss: 1.324706 eta: 21:06:18 batch_cost: 2.2212 data_cost: 0.0045 ips: 28.8134 images/s [10/18 02:05:10] ppdet.engine INFO: Epoch: [149] [140/229] learning_rate: 0.200814 loss_vfl: 0.829723 loss_bbox: 0.318715 loss_dfl: 0.204642 loss: 1.361127 eta: 21:05:34 batch_cost: 2.2214 data_cost: 0.0036 ips: 28.8102 images/s [10/18 02:05:57] ppdet.engine INFO: Epoch: [149] [160/229] learning_rate: 0.200631 loss_vfl: 0.813306 loss_bbox: 0.309612 loss_dfl: 0.198834 loss: 1.336912 eta: 21:04:50 batch_cost: 2.2043 data_cost: 0.0026 ips: 29.0343 images/s [10/18 02:06:45] ppdet.engine INFO: Epoch: [149] [180/229] learning_rate: 0.200448 loss_vfl: 0.835922 loss_bbox: 0.300796 loss_dfl: 0.198513 loss: 1.320717 eta: 21:04:06 batch_cost: 2.1994 data_cost: 0.0063 ips: 29.0994 images/s [10/18 02:07:32] ppdet.engine INFO: Epoch: [149] [200/229] learning_rate: 0.200265 loss_vfl: 0.843894 loss_bbox: 0.298466 loss_dfl: 0.191710 loss: 1.328390 eta: 21:03:21 batch_cost: 2.1988 data_cost: 0.0028 ips: 29.1071 images/s [10/18 02:08:10] ppdet.engine INFO: Epoch: [149] [220/229] learning_rate: 0.200082 loss_vfl: 0.808870 loss_bbox: 0.325782 loss_dfl: 0.197192 loss: 1.318398 eta: 21:02:28 batch_cost: 1.7453 data_cost: 0.0036 ips: 36.6696 images/s [10/18 02:08:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 02:08:23] ppdet.engine INFO: Eval iter: 0 [10/18 02:09:04] ppdet.engine INFO: Eval iter: 100 [10/18 02:09:19] ppdet.engine INFO: Eval iter: 200 [10/18 02:09:33] ppdet.engine INFO: Eval iter: 300 [10/18 02:09:47] ppdet.engine INFO: Eval iter: 400 [10/18 02:10:01] ppdet.engine INFO: Eval iter: 500 [10/18 02:10:15] ppdet.engine INFO: Eval iter: 600 [10/18 02:10:27] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/18 02:10:29] 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=66.57s). Accumulating evaluation results... DONE (t=11.72s). 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 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.310 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.517 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 ] = 0.423 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.450 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.157 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.719 [10/18 02:11:54] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.52732642499375 [10/18 02:11:54] ppdet.engine INFO: Best test bbox ap is 0.300. [10/18 02:11:54] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 02:11:55] ppdet.engine INFO: Epoch: [150] [ 0/229] learning_rate: 0.200000 loss_vfl: 0.845752 loss_bbox: 0.323833 loss_dfl: 0.202722 loss: 1.360610 eta: 21:01:58 batch_cost: 1.2505 data_cost: 0.0016 ips: 51.1801 images/s [10/18 02:12:43] ppdet.engine INFO: Epoch: [150] [ 20/229] learning_rate: 0.199817 loss_vfl: 0.816688 loss_bbox: 0.330859 loss_dfl: 0.207616 loss: 1.343917 eta: 21:01:14 batch_cost: 2.2126 data_cost: 0.0027 ips: 28.9256 images/s [10/18 02:13:30] ppdet.engine INFO: Epoch: [150] [ 40/229] learning_rate: 0.199634 loss_vfl: 0.820256 loss_bbox: 0.307392 loss_dfl: 0.195536 loss: 1.327219 eta: 21:00:31 batch_cost: 2.2307 data_cost: 0.0047 ips: 28.6906 images/s [10/18 02:14:16] ppdet.engine INFO: Epoch: [150] [ 60/229] learning_rate: 0.199451 loss_vfl: 0.816944 loss_bbox: 0.313075 loss_dfl: 0.196200 loss: 1.335294 eta: 20:59:44 batch_cost: 2.1012 data_cost: 0.0022 ips: 30.4594 images/s [10/18 02:15:03] ppdet.engine INFO: Epoch: [150] [ 80/229] learning_rate: 0.199268 loss_vfl: 0.824777 loss_bbox: 0.300048 loss_dfl: 0.191535 loss: 1.316523 eta: 20:59:00 batch_cost: 2.2101 data_cost: 0.0024 ips: 28.9585 images/s [10/18 02:15:50] ppdet.engine INFO: Epoch: [150] [100/229] learning_rate: 0.199085 loss_vfl: 0.819587 loss_bbox: 0.316537 loss_dfl: 0.191730 loss: 1.324045 eta: 20:58:16 batch_cost: 2.1687 data_cost: 0.0048 ips: 29.5103 images/s [10/18 02:16:38] ppdet.engine INFO: Epoch: [150] [120/229] learning_rate: 0.198903 loss_vfl: 0.830452 loss_bbox: 0.303458 loss_dfl: 0.193923 loss: 1.324014 eta: 20:57:30 batch_cost: 2.1433 data_cost: 0.0035 ips: 29.8611 images/s [10/18 02:17:25] ppdet.engine INFO: Epoch: [150] [140/229] learning_rate: 0.198720 loss_vfl: 0.817581 loss_bbox: 0.324885 loss_dfl: 0.197588 loss: 1.333958 eta: 20:56:46 batch_cost: 2.1801 data_cost: 0.0063 ips: 29.3569 images/s [10/18 02:18:12] ppdet.engine INFO: Epoch: [150] [160/229] learning_rate: 0.198537 loss_vfl: 0.844656 loss_bbox: 0.309834 loss_dfl: 0.191899 loss: 1.329039 eta: 20:56:01 batch_cost: 2.1745 data_cost: 0.0029 ips: 29.4320 images/s [10/18 02:18:58] ppdet.engine INFO: Epoch: [150] [180/229] learning_rate: 0.198354 loss_vfl: 0.828026 loss_bbox: 0.317441 loss_dfl: 0.206461 loss: 1.352278 eta: 20:55:15 batch_cost: 2.1276 data_cost: 0.0068 ips: 30.0809 images/s [10/18 02:19:44] ppdet.engine INFO: Epoch: [150] [200/229] learning_rate: 0.198171 loss_vfl: 0.829279 loss_bbox: 0.304239 loss_dfl: 0.192452 loss: 1.315656 eta: 20:54:29 batch_cost: 2.0715 data_cost: 0.0073 ips: 30.8948 images/s [10/18 02:20:22] ppdet.engine INFO: Epoch: [150] [220/229] learning_rate: 0.197988 loss_vfl: 0.826685 loss_bbox: 0.312122 loss_dfl: 0.198776 loss: 1.349567 eta: 20:53:35 batch_cost: 1.7383 data_cost: 0.0042 ips: 36.8171 images/s [10/18 02:21:05] ppdet.engine INFO: Epoch: [151] [ 0/229] learning_rate: 0.197906 loss_vfl: 0.815284 loss_bbox: 0.330339 loss_dfl: 0.205179 loss: 1.365809 eta: 20:53:35 batch_cost: 2.7268 data_cost: 1.1196 ips: 23.4711 images/s [10/18 02:21:52] ppdet.engine INFO: Epoch: [151] [ 20/229] learning_rate: 0.197723 loss_vfl: 0.806197 loss_bbox: 0.307673 loss_dfl: 0.191538 loss: 1.305422 eta: 20:52:49 batch_cost: 2.1452 data_cost: 0.0032 ips: 29.8340 images/s [10/18 02:22:39] ppdet.engine INFO: Epoch: [151] [ 40/229] learning_rate: 0.197540 loss_vfl: 0.821095 loss_bbox: 0.294044 loss_dfl: 0.192605 loss: 1.312751 eta: 20:52:05 batch_cost: 2.1944 data_cost: 0.0052 ips: 29.1653 images/s [10/18 02:23:27] ppdet.engine INFO: Epoch: [151] [ 60/229] learning_rate: 0.197357 loss_vfl: 0.812633 loss_bbox: 0.305068 loss_dfl: 0.194624 loss: 1.317115 eta: 20:51:20 batch_cost: 2.1726 data_cost: 0.0059 ips: 29.4580 images/s [10/18 02:24:15] ppdet.engine INFO: Epoch: [151] [ 80/229] learning_rate: 0.197174 loss_vfl: 0.815120 loss_bbox: 0.317734 loss_dfl: 0.187416 loss: 1.321398 eta: 20:50:36 batch_cost: 2.2010 data_cost: 0.0035 ips: 29.0777 images/s [10/18 02:25:02] ppdet.engine INFO: Epoch: [151] [100/229] learning_rate: 0.196991 loss_vfl: 0.810495 loss_bbox: 0.305821 loss_dfl: 0.194678 loss: 1.321394 eta: 20:49:51 batch_cost: 2.1583 data_cost: 0.0042 ips: 29.6530 images/s [10/18 02:25:48] ppdet.engine INFO: Epoch: [151] [120/229] learning_rate: 0.196808 loss_vfl: 0.850089 loss_bbox: 0.305053 loss_dfl: 0.197160 loss: 1.325533 eta: 20:49:05 batch_cost: 2.0834 data_cost: 0.0045 ips: 30.7193 images/s [10/18 02:26:36] ppdet.engine INFO: Epoch: [151] [140/229] learning_rate: 0.196625 loss_vfl: 0.821338 loss_bbox: 0.308453 loss_dfl: 0.187747 loss: 1.325973 eta: 20:48:21 batch_cost: 2.2181 data_cost: 0.0061 ips: 28.8538 images/s [10/18 02:27:24] ppdet.engine INFO: Epoch: [151] [160/229] learning_rate: 0.196442 loss_vfl: 0.822038 loss_bbox: 0.297919 loss_dfl: 0.194475 loss: 1.308003 eta: 20:47:38 batch_cost: 2.2453 data_cost: 0.0068 ips: 28.5040 images/s [10/18 02:28:11] ppdet.engine INFO: Epoch: [151] [180/229] learning_rate: 0.196260 loss_vfl: 0.824457 loss_bbox: 0.315859 loss_dfl: 0.192736 loss: 1.331984 eta: 20:46:54 batch_cost: 2.2068 data_cost: 0.0037 ips: 29.0016 images/s [10/18 02:28:57] ppdet.engine INFO: Epoch: [151] [200/229] learning_rate: 0.196077 loss_vfl: 0.821549 loss_bbox: 0.303871 loss_dfl: 0.191451 loss: 1.311818 eta: 20:46:07 batch_cost: 2.0838 data_cost: 0.0030 ips: 30.7130 images/s [10/18 02:29:35] ppdet.engine INFO: Epoch: [151] [220/229] learning_rate: 0.195894 loss_vfl: 0.846540 loss_bbox: 0.303915 loss_dfl: 0.197255 loss: 1.343849 eta: 20:45:14 batch_cost: 1.7252 data_cost: 0.0035 ips: 37.0970 images/s [10/18 02:30:21] ppdet.engine INFO: Epoch: [152] [ 0/229] learning_rate: 0.195812 loss_vfl: 0.851980 loss_bbox: 0.301937 loss_dfl: 0.201348 loss: 1.359831 eta: 20:45:14 batch_cost: 2.8574 data_cost: 1.2700 ips: 22.3977 images/s [10/18 02:31:08] ppdet.engine INFO: Epoch: [152] [ 20/229] learning_rate: 0.195629 loss_vfl: 0.823805 loss_bbox: 0.339244 loss_dfl: 0.214281 loss: 1.370217 eta: 20:44:29 batch_cost: 2.1469 data_cost: 0.0041 ips: 29.8101 images/s [10/18 02:31:55] ppdet.engine INFO: Epoch: [152] [ 40/229] learning_rate: 0.195446 loss_vfl: 0.826716 loss_bbox: 0.299824 loss_dfl: 0.194631 loss: 1.333014 eta: 20:43:44 batch_cost: 2.1616 data_cost: 0.0050 ips: 29.6075 images/s [10/18 02:32:44] ppdet.engine INFO: Epoch: [152] [ 60/229] learning_rate: 0.195263 loss_vfl: 0.822932 loss_bbox: 0.322129 loss_dfl: 0.197519 loss: 1.342583 eta: 20:43:00 batch_cost: 2.1718 data_cost: 0.0111 ips: 29.4685 images/s [10/18 02:33:32] ppdet.engine INFO: Epoch: [152] [ 80/229] learning_rate: 0.195080 loss_vfl: 0.821486 loss_bbox: 0.318386 loss_dfl: 0.212604 loss: 1.358358 eta: 20:42:16 batch_cost: 2.2059 data_cost: 0.0032 ips: 29.0136 images/s [10/18 02:34:19] ppdet.engine INFO: Epoch: [152] [100/229] learning_rate: 0.194897 loss_vfl: 0.836128 loss_bbox: 0.297394 loss_dfl: 0.186703 loss: 1.324464 eta: 20:41:31 batch_cost: 2.1779 data_cost: 0.0026 ips: 29.3857 images/s [10/18 02:35:06] ppdet.engine INFO: Epoch: [152] [120/229] learning_rate: 0.194714 loss_vfl: 0.824111 loss_bbox: 0.302169 loss_dfl: 0.194191 loss: 1.315084 eta: 20:40:47 batch_cost: 2.2100 data_cost: 0.0045 ips: 28.9597 images/s [10/18 02:35:55] ppdet.engine INFO: Epoch: [152] [140/229] learning_rate: 0.194531 loss_vfl: 0.811304 loss_bbox: 0.289515 loss_dfl: 0.190100 loss: 1.283437 eta: 20:40:03 batch_cost: 2.1921 data_cost: 0.0041 ips: 29.1953 images/s [10/18 02:36:43] ppdet.engine INFO: Epoch: [152] [160/229] learning_rate: 0.194349 loss_vfl: 0.828060 loss_bbox: 0.311198 loss_dfl: 0.205434 loss: 1.352493 eta: 20:39:19 batch_cost: 2.2069 data_cost: 0.0042 ips: 28.9999 images/s [10/18 02:37:29] ppdet.engine INFO: Epoch: [152] [180/229] learning_rate: 0.194166 loss_vfl: 0.837121 loss_bbox: 0.298529 loss_dfl: 0.194648 loss: 1.322236 eta: 20:38:33 batch_cost: 2.1368 data_cost: 0.0026 ips: 29.9511 images/s [10/18 02:38:16] ppdet.engine INFO: Epoch: [152] [200/229] learning_rate: 0.193983 loss_vfl: 0.809518 loss_bbox: 0.291569 loss_dfl: 0.190721 loss: 1.311993 eta: 20:37:48 batch_cost: 2.1543 data_cost: 0.0028 ips: 29.7078 images/s [10/18 02:38:55] ppdet.engine INFO: Epoch: [152] [220/229] learning_rate: 0.193800 loss_vfl: 0.834318 loss_bbox: 0.305577 loss_dfl: 0.195613 loss: 1.325266 eta: 20:36:56 batch_cost: 1.7833 data_cost: 0.0032 ips: 35.8876 images/s [10/18 02:39:37] ppdet.engine INFO: Epoch: [153] [ 0/229] learning_rate: 0.193718 loss_vfl: 0.834318 loss_bbox: 0.311502 loss_dfl: 0.196024 loss: 1.335588 eta: 20:36:52 batch_cost: 2.6173 data_cost: 0.7926 ips: 24.4525 images/s [10/18 02:40:26] ppdet.engine INFO: Epoch: [153] [ 20/229] learning_rate: 0.193535 loss_vfl: 0.831611 loss_bbox: 0.319947 loss_dfl: 0.203023 loss: 1.349924 eta: 20:36:08 batch_cost: 2.2217 data_cost: 0.0040 ips: 28.8063 images/s [10/18 02:41:14] ppdet.engine INFO: Epoch: [153] [ 40/229] learning_rate: 0.193352 loss_vfl: 0.815121 loss_bbox: 0.290751 loss_dfl: 0.188240 loss: 1.324412 eta: 20:35:26 batch_cost: 2.2693 data_cost: 0.0051 ips: 28.2031 images/s [10/18 02:42:02] ppdet.engine INFO: Epoch: [153] [ 60/229] learning_rate: 0.193169 loss_vfl: 0.786979 loss_bbox: 0.306434 loss_dfl: 0.193349 loss: 1.292432 eta: 20:34:41 batch_cost: 2.1738 data_cost: 0.0056 ips: 29.4418 images/s [10/18 02:42:49] ppdet.engine INFO: Epoch: [153] [ 80/229] learning_rate: 0.192987 loss_vfl: 0.836477 loss_bbox: 0.303618 loss_dfl: 0.192717 loss: 1.347025 eta: 20:33:56 batch_cost: 2.1648 data_cost: 0.0044 ips: 29.5638 images/s [10/18 02:43:36] ppdet.engine INFO: Epoch: [153] [100/229] learning_rate: 0.192804 loss_vfl: 0.810507 loss_bbox: 0.317974 loss_dfl: 0.200093 loss: 1.313591 eta: 20:33:11 batch_cost: 2.1587 data_cost: 0.0091 ips: 29.6480 images/s [10/18 02:44:24] ppdet.engine INFO: Epoch: [153] [120/229] learning_rate: 0.192621 loss_vfl: 0.828126 loss_bbox: 0.303190 loss_dfl: 0.202152 loss: 1.344521 eta: 20:32:28 batch_cost: 2.2461 data_cost: 0.0022 ips: 28.4932 images/s [10/18 02:45:10] ppdet.engine INFO: Epoch: [153] [140/229] learning_rate: 0.192438 loss_vfl: 0.800941 loss_bbox: 0.285082 loss_dfl: 0.187833 loss: 1.321629 eta: 20:31:42 batch_cost: 2.1421 data_cost: 0.0029 ips: 29.8775 images/s [10/18 02:45:57] ppdet.engine INFO: Epoch: [153] [160/229] learning_rate: 0.192255 loss_vfl: 0.809567 loss_bbox: 0.293679 loss_dfl: 0.189644 loss: 1.299144 eta: 20:30:57 batch_cost: 2.1521 data_cost: 0.0043 ips: 29.7388 images/s [10/18 02:46:43] ppdet.engine INFO: Epoch: [153] [180/229] learning_rate: 0.192073 loss_vfl: 0.824364 loss_bbox: 0.307512 loss_dfl: 0.207435 loss: 1.330827 eta: 20:30:12 batch_cost: 2.1143 data_cost: 0.0049 ips: 30.2701 images/s [10/18 02:47:30] ppdet.engine INFO: Epoch: [153] [200/229] learning_rate: 0.191890 loss_vfl: 0.840076 loss_bbox: 0.291438 loss_dfl: 0.191407 loss: 1.320006 eta: 20:29:26 batch_cost: 2.1167 data_cost: 0.0050 ips: 30.2351 images/s [10/18 02:48:07] ppdet.engine INFO: Epoch: [153] [220/229] learning_rate: 0.191707 loss_vfl: 0.836470 loss_bbox: 0.302911 loss_dfl: 0.198401 loss: 1.348114 eta: 20:28:33 batch_cost: 1.7370 data_cost: 0.0025 ips: 36.8449 images/s [10/18 02:48:51] ppdet.engine INFO: Epoch: [154] [ 0/229] learning_rate: 0.191625 loss_vfl: 0.849396 loss_bbox: 0.304482 loss_dfl: 0.196154 loss: 1.347989 eta: 20:28:31 batch_cost: 2.7423 data_cost: 1.0435 ips: 23.3385 images/s [10/18 02:49:39] ppdet.engine INFO: Epoch: [154] [ 20/229] learning_rate: 0.191442 loss_vfl: 0.818847 loss_bbox: 0.306017 loss_dfl: 0.198496 loss: 1.326054 eta: 20:27:47 batch_cost: 2.1950 data_cost: 0.0018 ips: 29.1578 images/s [10/18 02:50:26] ppdet.engine INFO: Epoch: [154] [ 40/229] learning_rate: 0.191259 loss_vfl: 0.810271 loss_bbox: 0.316258 loss_dfl: 0.200668 loss: 1.331348 eta: 20:27:03 batch_cost: 2.1876 data_cost: 0.0032 ips: 29.2559 images/s [10/18 02:51:12] ppdet.engine INFO: Epoch: [154] [ 60/229] learning_rate: 0.191077 loss_vfl: 0.823879 loss_bbox: 0.318423 loss_dfl: 0.195961 loss: 1.332988 eta: 20:26:18 batch_cost: 2.1579 data_cost: 0.0019 ips: 29.6587 images/s [10/18 02:51:59] ppdet.engine INFO: Epoch: [154] [ 80/229] learning_rate: 0.190894 loss_vfl: 0.826858 loss_bbox: 0.290890 loss_dfl: 0.189395 loss: 1.306625 eta: 20:25:33 batch_cost: 2.1783 data_cost: 0.0049 ips: 29.3802 images/s [10/18 02:52:45] ppdet.engine INFO: Epoch: [154] [100/229] learning_rate: 0.190711 loss_vfl: 0.816759 loss_bbox: 0.293000 loss_dfl: 0.195889 loss: 1.310777 eta: 20:24:48 batch_cost: 2.1326 data_cost: 0.0043 ips: 30.0104 images/s [10/18 02:53:33] ppdet.engine INFO: Epoch: [154] [120/229] learning_rate: 0.190528 loss_vfl: 0.802189 loss_bbox: 0.323931 loss_dfl: 0.194293 loss: 1.307204 eta: 20:24:03 batch_cost: 2.1888 data_cost: 0.0044 ips: 29.2391 images/s [10/18 02:54:20] ppdet.engine INFO: Epoch: [154] [140/229] learning_rate: 0.190346 loss_vfl: 0.832997 loss_bbox: 0.302621 loss_dfl: 0.196055 loss: 1.329329 eta: 20:23:19 batch_cost: 2.1761 data_cost: 0.0032 ips: 29.4098 images/s [10/18 02:55:07] ppdet.engine INFO: Epoch: [154] [160/229] learning_rate: 0.190163 loss_vfl: 0.821454 loss_bbox: 0.308298 loss_dfl: 0.195450 loss: 1.307210 eta: 20:22:34 batch_cost: 2.2011 data_cost: 0.0059 ips: 29.0762 images/s [10/18 02:55:53] ppdet.engine INFO: Epoch: [154] [180/229] learning_rate: 0.189980 loss_vfl: 0.797026 loss_bbox: 0.309175 loss_dfl: 0.196984 loss: 1.303917 eta: 20:21:49 batch_cost: 2.1233 data_cost: 0.0050 ips: 30.1412 images/s [10/18 02:56:39] ppdet.engine INFO: Epoch: [154] [200/229] learning_rate: 0.189798 loss_vfl: 0.823166 loss_bbox: 0.299983 loss_dfl: 0.187422 loss: 1.329806 eta: 20:21:04 batch_cost: 2.1591 data_cost: 0.0067 ips: 29.6420 images/s [10/18 02:57:17] ppdet.engine INFO: Epoch: [154] [220/229] learning_rate: 0.189615 loss_vfl: 0.824576 loss_bbox: 0.297647 loss_dfl: 0.192705 loss: 1.323751 eta: 20:20:10 batch_cost: 1.6829 data_cost: 0.0017 ips: 38.0288 images/s [10/18 02:58:00] ppdet.engine INFO: Epoch: [155] [ 0/229] learning_rate: 0.189533 loss_vfl: 0.824576 loss_bbox: 0.291380 loss_dfl: 0.192705 loss: 1.317193 eta: 20:20:07 batch_cost: 2.6451 data_cost: 0.8529 ips: 24.1954 images/s [10/18 02:58:47] ppdet.engine INFO: Epoch: [155] [ 20/229] learning_rate: 0.189350 loss_vfl: 0.800959 loss_bbox: 0.300359 loss_dfl: 0.191202 loss: 1.304237 eta: 20:19:22 batch_cost: 2.1831 data_cost: 0.0066 ips: 29.3165 images/s [10/18 02:59:34] ppdet.engine INFO: Epoch: [155] [ 40/229] learning_rate: 0.189167 loss_vfl: 0.822361 loss_bbox: 0.296185 loss_dfl: 0.197320 loss: 1.320014 eta: 20:18:38 batch_cost: 2.2107 data_cost: 0.0040 ips: 28.9507 images/s [10/18 03:00:21] ppdet.engine INFO: Epoch: [155] [ 60/229] learning_rate: 0.188985 loss_vfl: 0.813696 loss_bbox: 0.296459 loss_dfl: 0.195641 loss: 1.314835 eta: 20:17:53 batch_cost: 2.1359 data_cost: 0.0024 ips: 29.9644 images/s [10/18 03:01:09] ppdet.engine INFO: Epoch: [155] [ 80/229] learning_rate: 0.188802 loss_vfl: 0.812955 loss_bbox: 0.304465 loss_dfl: 0.197062 loss: 1.334967 eta: 20:17:10 batch_cost: 2.2524 data_cost: 0.0026 ips: 28.4139 images/s [10/18 03:01:55] ppdet.engine INFO: Epoch: [155] [100/229] learning_rate: 0.188620 loss_vfl: 0.822330 loss_bbox: 0.289802 loss_dfl: 0.189843 loss: 1.317948 eta: 20:16:24 batch_cost: 2.1295 data_cost: 0.0025 ips: 30.0541 images/s [10/18 03:02:42] ppdet.engine INFO: Epoch: [155] [120/229] learning_rate: 0.188437 loss_vfl: 0.827016 loss_bbox: 0.303949 loss_dfl: 0.191478 loss: 1.331841 eta: 20:15:40 batch_cost: 2.2108 data_cost: 0.0030 ips: 28.9482 images/s [10/18 03:03:30] ppdet.engine INFO: Epoch: [155] [140/229] learning_rate: 0.188254 loss_vfl: 0.800210 loss_bbox: 0.289241 loss_dfl: 0.192417 loss: 1.298495 eta: 20:14:56 batch_cost: 2.1861 data_cost: 0.0039 ips: 29.2762 images/s [10/18 03:04:17] ppdet.engine INFO: Epoch: [155] [160/229] learning_rate: 0.188072 loss_vfl: 0.811570 loss_bbox: 0.310186 loss_dfl: 0.197699 loss: 1.326487 eta: 20:14:11 batch_cost: 2.1968 data_cost: 0.0029 ips: 29.1333 images/s [10/18 03:05:04] ppdet.engine INFO: Epoch: [155] [180/229] learning_rate: 0.187889 loss_vfl: 0.807008 loss_bbox: 0.316808 loss_dfl: 0.198437 loss: 1.313199 eta: 20:13:27 batch_cost: 2.1925 data_cost: 0.0022 ips: 29.1910 images/s [10/18 03:05:52] ppdet.engine INFO: Epoch: [155] [200/229] learning_rate: 0.187707 loss_vfl: 0.819617 loss_bbox: 0.299626 loss_dfl: 0.198448 loss: 1.324702 eta: 20:12:43 batch_cost: 2.1921 data_cost: 0.0035 ips: 29.1951 images/s [10/18 03:06:29] ppdet.engine INFO: Epoch: [155] [220/229] learning_rate: 0.187524 loss_vfl: 0.835895 loss_bbox: 0.294438 loss_dfl: 0.189123 loss: 1.329312 eta: 20:11:50 batch_cost: 1.7285 data_cost: 0.0040 ips: 37.0255 images/s [10/18 03:07:11] ppdet.engine INFO: Epoch: [156] [ 0/229] learning_rate: 0.187442 loss_vfl: 0.829728 loss_bbox: 0.304033 loss_dfl: 0.188000 loss: 1.328129 eta: 20:11:46 batch_cost: 2.6361 data_cost: 0.7022 ips: 24.2786 images/s [10/18 03:07:59] ppdet.engine INFO: Epoch: [156] [ 20/229] learning_rate: 0.187259 loss_vfl: 0.811026 loss_bbox: 0.303415 loss_dfl: 0.196493 loss: 1.312713 eta: 20:11:00 batch_cost: 2.0903 data_cost: 0.0032 ips: 30.6173 images/s [10/18 03:08:46] ppdet.engine INFO: Epoch: [156] [ 40/229] learning_rate: 0.187077 loss_vfl: 0.803656 loss_bbox: 0.308953 loss_dfl: 0.200290 loss: 1.327341 eta: 20:10:15 batch_cost: 2.1707 data_cost: 0.0023 ips: 29.4838 images/s [10/18 03:09:33] ppdet.engine INFO: Epoch: [156] [ 60/229] learning_rate: 0.186894 loss_vfl: 0.835873 loss_bbox: 0.326366 loss_dfl: 0.195250 loss: 1.342435 eta: 20:09:30 batch_cost: 2.1621 data_cost: 0.0098 ips: 29.6011 images/s [10/18 03:10:20] ppdet.engine INFO: Epoch: [156] [ 80/229] learning_rate: 0.186712 loss_vfl: 0.820927 loss_bbox: 0.304526 loss_dfl: 0.193811 loss: 1.299676 eta: 20:08:46 batch_cost: 2.1759 data_cost: 0.0046 ips: 29.4127 images/s [10/18 03:11:09] ppdet.engine INFO: Epoch: [156] [100/229] learning_rate: 0.186529 loss_vfl: 0.821327 loss_bbox: 0.304578 loss_dfl: 0.197392 loss: 1.320578 eta: 20:08:02 batch_cost: 2.2383 data_cost: 0.0083 ips: 28.5927 images/s [10/18 03:11:55] ppdet.engine INFO: Epoch: [156] [120/229] learning_rate: 0.186347 loss_vfl: 0.832226 loss_bbox: 0.306776 loss_dfl: 0.192593 loss: 1.316330 eta: 20:07:17 batch_cost: 2.1240 data_cost: 0.0039 ips: 30.1323 images/s [10/18 03:12:42] ppdet.engine INFO: Epoch: [156] [140/229] learning_rate: 0.186164 loss_vfl: 0.798508 loss_bbox: 0.304868 loss_dfl: 0.194769 loss: 1.312879 eta: 20:06:32 batch_cost: 2.1893 data_cost: 0.0038 ips: 29.2334 images/s [10/18 03:13:29] ppdet.engine INFO: Epoch: [156] [160/229] learning_rate: 0.185982 loss_vfl: 0.828399 loss_bbox: 0.325804 loss_dfl: 0.198434 loss: 1.362402 eta: 20:05:47 batch_cost: 2.1383 data_cost: 0.0037 ips: 29.9304 images/s [10/18 03:14:15] ppdet.engine INFO: Epoch: [156] [180/229] learning_rate: 0.185799 loss_vfl: 0.814394 loss_bbox: 0.302315 loss_dfl: 0.187595 loss: 1.308025 eta: 20:05:02 batch_cost: 2.1320 data_cost: 0.0042 ips: 30.0188 images/s [10/18 03:15:01] ppdet.engine INFO: Epoch: [156] [200/229] learning_rate: 0.185617 loss_vfl: 0.812719 loss_bbox: 0.300267 loss_dfl: 0.193169 loss: 1.323085 eta: 20:04:17 batch_cost: 2.1577 data_cost: 0.0034 ips: 29.6606 images/s [10/18 03:15:38] ppdet.engine INFO: Epoch: [156] [220/229] learning_rate: 0.185434 loss_vfl: 0.820113 loss_bbox: 0.311157 loss_dfl: 0.197671 loss: 1.340232 eta: 20:03:23 batch_cost: 1.6921 data_cost: 0.0029 ips: 37.8239 images/s [10/18 03:16:22] ppdet.engine INFO: Epoch: [157] [ 0/229] learning_rate: 0.185352 loss_vfl: 0.806439 loss_bbox: 0.304218 loss_dfl: 0.191077 loss: 1.300626 eta: 20:03:21 batch_cost: 2.7227 data_cost: 0.8303 ips: 23.5062 images/s [10/18 03:17:08] ppdet.engine INFO: Epoch: [157] [ 20/229] learning_rate: 0.185170 loss_vfl: 0.804681 loss_bbox: 0.317294 loss_dfl: 0.199246 loss: 1.327760 eta: 20:02:37 batch_cost: 2.1721 data_cost: 0.0028 ips: 29.4645 images/s [10/18 03:17:55] ppdet.engine INFO: Epoch: [157] [ 40/229] learning_rate: 0.184988 loss_vfl: 0.802638 loss_bbox: 0.316004 loss_dfl: 0.199077 loss: 1.312070 eta: 20:01:51 batch_cost: 2.1381 data_cost: 0.0029 ips: 29.9338 images/s [10/18 03:18:42] ppdet.engine INFO: Epoch: [157] [ 60/229] learning_rate: 0.184805 loss_vfl: 0.834680 loss_bbox: 0.314872 loss_dfl: 0.200243 loss: 1.327480 eta: 20:01:08 batch_cost: 2.2260 data_cost: 0.0028 ips: 28.7515 images/s [10/18 03:19:29] ppdet.engine INFO: Epoch: [157] [ 80/229] learning_rate: 0.184623 loss_vfl: 0.800333 loss_bbox: 0.311457 loss_dfl: 0.199459 loss: 1.329031 eta: 20:00:24 batch_cost: 2.2102 data_cost: 0.0060 ips: 28.9571 images/s [10/18 03:20:17] ppdet.engine INFO: Epoch: [157] [100/229] learning_rate: 0.184440 loss_vfl: 0.817974 loss_bbox: 0.303279 loss_dfl: 0.193249 loss: 1.306875 eta: 19:59:38 batch_cost: 2.1330 data_cost: 0.0044 ips: 30.0045 images/s [10/18 03:21:04] ppdet.engine INFO: Epoch: [157] [120/229] learning_rate: 0.184258 loss_vfl: 0.821325 loss_bbox: 0.325963 loss_dfl: 0.205234 loss: 1.375624 eta: 19:58:53 batch_cost: 2.1474 data_cost: 0.0041 ips: 29.8039 images/s [10/18 03:21:51] ppdet.engine INFO: Epoch: [157] [140/229] learning_rate: 0.184076 loss_vfl: 0.817561 loss_bbox: 0.294186 loss_dfl: 0.188908 loss: 1.313438 eta: 19:58:09 batch_cost: 2.2224 data_cost: 0.0047 ips: 28.7972 images/s [10/18 03:22:39] ppdet.engine INFO: Epoch: [157] [160/229] learning_rate: 0.183893 loss_vfl: 0.825321 loss_bbox: 0.290205 loss_dfl: 0.187697 loss: 1.301645 eta: 19:57:25 batch_cost: 2.2083 data_cost: 0.0054 ips: 28.9817 images/s [10/18 03:23:24] ppdet.engine INFO: Epoch: [157] [180/229] learning_rate: 0.183711 loss_vfl: 0.823459 loss_bbox: 0.290226 loss_dfl: 0.189907 loss: 1.312249 eta: 19:56:40 batch_cost: 2.1366 data_cost: 0.0029 ips: 29.9540 images/s [10/18 03:24:10] ppdet.engine INFO: Epoch: [157] [200/229] learning_rate: 0.183529 loss_vfl: 0.822165 loss_bbox: 0.318827 loss_dfl: 0.202998 loss: 1.341414 eta: 19:55:54 batch_cost: 2.1218 data_cost: 0.0051 ips: 30.1632 images/s [10/18 03:24:48] ppdet.engine INFO: Epoch: [157] [220/229] learning_rate: 0.183346 loss_vfl: 0.836773 loss_bbox: 0.295776 loss_dfl: 0.193549 loss: 1.330220 eta: 19:55:01 batch_cost: 1.6946 data_cost: 0.0030 ips: 37.7665 images/s [10/18 03:25:30] ppdet.engine INFO: Epoch: [158] [ 0/229] learning_rate: 0.183264 loss_vfl: 0.811283 loss_bbox: 0.301114 loss_dfl: 0.194613 loss: 1.327453 eta: 19:54:58 batch_cost: 2.6844 data_cost: 0.9430 ips: 23.8412 images/s [10/18 03:26:18] ppdet.engine INFO: Epoch: [158] [ 20/229] learning_rate: 0.183082 loss_vfl: 0.804427 loss_bbox: 0.310300 loss_dfl: 0.196888 loss: 1.330406 eta: 19:54:14 batch_cost: 2.2047 data_cost: 0.0021 ips: 29.0283 images/s [10/18 03:27:05] ppdet.engine INFO: Epoch: [158] [ 40/229] learning_rate: 0.182900 loss_vfl: 0.803624 loss_bbox: 0.318855 loss_dfl: 0.197087 loss: 1.326770 eta: 19:53:29 batch_cost: 2.1899 data_cost: 0.0032 ips: 29.2250 images/s [10/18 03:27:53] ppdet.engine INFO: Epoch: [158] [ 60/229] learning_rate: 0.182718 loss_vfl: 0.800199 loss_bbox: 0.321985 loss_dfl: 0.205968 loss: 1.338574 eta: 19:52:45 batch_cost: 2.2171 data_cost: 0.0021 ips: 28.8668 images/s [10/18 03:28:39] ppdet.engine INFO: Epoch: [158] [ 80/229] learning_rate: 0.182535 loss_vfl: 0.830766 loss_bbox: 0.302838 loss_dfl: 0.189466 loss: 1.308558 eta: 19:52:00 batch_cost: 2.1527 data_cost: 0.0057 ips: 29.7308 images/s [10/18 03:29:26] ppdet.engine INFO: Epoch: [158] [100/229] learning_rate: 0.182353 loss_vfl: 0.821305 loss_bbox: 0.301060 loss_dfl: 0.201210 loss: 1.323269 eta: 19:51:16 batch_cost: 2.1842 data_cost: 0.0039 ips: 29.3011 images/s [10/18 03:30:13] ppdet.engine INFO: Epoch: [158] [120/229] learning_rate: 0.182171 loss_vfl: 0.841420 loss_bbox: 0.287529 loss_dfl: 0.181573 loss: 1.299052 eta: 19:50:31 batch_cost: 2.1407 data_cost: 0.0033 ips: 29.8973 images/s [10/18 03:30:58] ppdet.engine INFO: Epoch: [158] [140/229] learning_rate: 0.181989 loss_vfl: 0.821505 loss_bbox: 0.303330 loss_dfl: 0.194163 loss: 1.303353 eta: 19:49:44 batch_cost: 2.0638 data_cost: 0.0034 ips: 31.0108 images/s [10/18 03:31:45] ppdet.engine INFO: Epoch: [158] [160/229] learning_rate: 0.181807 loss_vfl: 0.825120 loss_bbox: 0.305917 loss_dfl: 0.192215 loss: 1.332816 eta: 19:48:58 batch_cost: 2.1208 data_cost: 0.0034 ips: 30.1770 images/s [10/18 03:32:30] ppdet.engine INFO: Epoch: [158] [180/229] learning_rate: 0.181625 loss_vfl: 0.812878 loss_bbox: 0.307500 loss_dfl: 0.194433 loss: 1.328743 eta: 19:48:12 batch_cost: 2.0604 data_cost: 0.0039 ips: 31.0626 images/s [10/18 03:33:16] ppdet.engine INFO: Epoch: [158] [200/229] learning_rate: 0.181442 loss_vfl: 0.835884 loss_bbox: 0.314641 loss_dfl: 0.198485 loss: 1.357332 eta: 19:47:27 batch_cost: 2.1639 data_cost: 0.0030 ips: 29.5766 images/s [10/18 03:33:54] ppdet.engine INFO: Epoch: [158] [220/229] learning_rate: 0.181260 loss_vfl: 0.812010 loss_bbox: 0.303225 loss_dfl: 0.189923 loss: 1.320590 eta: 19:46:34 batch_cost: 1.7268 data_cost: 0.0031 ips: 37.0638 images/s [10/18 03:34:37] ppdet.engine INFO: Epoch: [159] [ 0/229] learning_rate: 0.181178 loss_vfl: 0.811724 loss_bbox: 0.294081 loss_dfl: 0.189024 loss: 1.311197 eta: 19:46:31 batch_cost: 2.6584 data_cost: 0.9309 ips: 24.0744 images/s [10/18 03:35:25] ppdet.engine INFO: Epoch: [159] [ 20/229] learning_rate: 0.180996 loss_vfl: 0.815489 loss_bbox: 0.315220 loss_dfl: 0.203904 loss: 1.353012 eta: 19:45:47 batch_cost: 2.2348 data_cost: 0.0037 ips: 28.6373 images/s [10/18 03:36:13] ppdet.engine INFO: Epoch: [159] [ 40/229] learning_rate: 0.180814 loss_vfl: 0.831714 loss_bbox: 0.305820 loss_dfl: 0.193934 loss: 1.320830 eta: 19:45:04 batch_cost: 2.2503 data_cost: 0.0033 ips: 28.4402 images/s [10/18 03:37:00] ppdet.engine INFO: Epoch: [159] [ 60/229] learning_rate: 0.180632 loss_vfl: 0.800224 loss_bbox: 0.297103 loss_dfl: 0.194507 loss: 1.303337 eta: 19:44:20 batch_cost: 2.2355 data_cost: 0.0026 ips: 28.6285 images/s [10/18 03:37:47] ppdet.engine INFO: Epoch: [159] [ 80/229] learning_rate: 0.180450 loss_vfl: 0.817464 loss_bbox: 0.296477 loss_dfl: 0.191276 loss: 1.305050 eta: 19:43:35 batch_cost: 2.1483 data_cost: 0.0042 ips: 29.7916 images/s [10/18 03:38:34] ppdet.engine INFO: Epoch: [159] [100/229] learning_rate: 0.180268 loss_vfl: 0.823651 loss_bbox: 0.310044 loss_dfl: 0.199838 loss: 1.344648 eta: 19:42:51 batch_cost: 2.2209 data_cost: 0.0040 ips: 28.8166 images/s [10/18 03:39:22] ppdet.engine INFO: Epoch: [159] [120/229] learning_rate: 0.180086 loss_vfl: 0.810874 loss_bbox: 0.314153 loss_dfl: 0.202462 loss: 1.317297 eta: 19:42:07 batch_cost: 2.1935 data_cost: 0.0045 ips: 29.1777 images/s [10/18 03:40:09] ppdet.engine INFO: Epoch: [159] [140/229] learning_rate: 0.179904 loss_vfl: 0.819564 loss_bbox: 0.322994 loss_dfl: 0.200000 loss: 1.340286 eta: 19:41:22 batch_cost: 2.1731 data_cost: 0.0051 ips: 29.4512 images/s [10/18 03:40:56] ppdet.engine INFO: Epoch: [159] [160/229] learning_rate: 0.179722 loss_vfl: 0.817860 loss_bbox: 0.317474 loss_dfl: 0.197524 loss: 1.342105 eta: 19:40:39 batch_cost: 2.2335 data_cost: 0.0054 ips: 28.6549 images/s [10/18 03:41:43] ppdet.engine INFO: Epoch: [159] [180/229] learning_rate: 0.179540 loss_vfl: 0.816759 loss_bbox: 0.301122 loss_dfl: 0.195387 loss: 1.309422 eta: 19:39:54 batch_cost: 2.1856 data_cost: 0.0028 ips: 29.2821 images/s [10/18 03:42:29] ppdet.engine INFO: Epoch: [159] [200/229] learning_rate: 0.179358 loss_vfl: 0.812866 loss_bbox: 0.312711 loss_dfl: 0.192353 loss: 1.312383 eta: 19:39:09 batch_cost: 2.1131 data_cost: 0.0057 ips: 30.2878 images/s [10/18 03:43:07] ppdet.engine INFO: Epoch: [159] [220/229] learning_rate: 0.179176 loss_vfl: 0.837558 loss_bbox: 0.310061 loss_dfl: 0.199980 loss: 1.356641 eta: 19:38:16 batch_cost: 1.7451 data_cost: 0.0032 ips: 36.6741 images/s [10/18 03:43:21] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 03:43:21] ppdet.engine INFO: Eval iter: 0 [10/18 03:44:02] ppdet.engine INFO: Eval iter: 100 [10/18 03:44:16] ppdet.engine INFO: Eval iter: 200 [10/18 03:44:31] ppdet.engine INFO: Eval iter: 300 [10/18 03:44:46] ppdet.engine INFO: Eval iter: 400 [10/18 03:45:01] ppdet.engine INFO: Eval iter: 500 [10/18 03:45:15] ppdet.engine INFO: Eval iter: 600 [10/18 03:45:27] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.93s) creating index... index created! [10/18 03:45:29] 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=65.53s). Accumulating evaluation results... DONE (t=11.53s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.449 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.094 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.316 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.516 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 ] = 0.425 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 ] = 0.161 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.509 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.720 [10/18 03:46:52] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.72981823878312 [10/18 03:46:52] ppdet.engine INFO: Best test bbox ap is 0.303. [10/18 03:46:52] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 03:46:53] ppdet.engine INFO: Epoch: [160] [ 0/229] learning_rate: 0.179094 loss_vfl: 0.837002 loss_bbox: 0.313169 loss_dfl: 0.202926 loss: 1.373549 eta: 19:37:48 batch_cost: 1.2656 data_cost: 0.0026 ips: 50.5688 images/s [10/18 03:47:40] ppdet.engine INFO: Epoch: [160] [ 20/229] learning_rate: 0.178912 loss_vfl: 0.804681 loss_bbox: 0.297276 loss_dfl: 0.186162 loss: 1.290511 eta: 19:37:03 batch_cost: 2.1519 data_cost: 0.0041 ips: 29.7414 images/s [10/18 03:48:28] ppdet.engine INFO: Epoch: [160] [ 40/229] learning_rate: 0.178731 loss_vfl: 0.810790 loss_bbox: 0.302517 loss_dfl: 0.194718 loss: 1.315716 eta: 19:36:19 batch_cost: 2.2240 data_cost: 0.0022 ips: 28.7774 images/s [10/18 03:49:17] ppdet.engine INFO: Epoch: [160] [ 60/229] learning_rate: 0.178549 loss_vfl: 0.821941 loss_bbox: 0.300862 loss_dfl: 0.194388 loss: 1.334307 eta: 19:35:36 batch_cost: 2.2624 data_cost: 0.0018 ips: 28.2890 images/s [10/18 03:50:03] ppdet.engine INFO: Epoch: [160] [ 80/229] learning_rate: 0.178367 loss_vfl: 0.819291 loss_bbox: 0.305469 loss_dfl: 0.191471 loss: 1.300178 eta: 19:34:51 batch_cost: 2.1632 data_cost: 0.0025 ips: 29.5851 images/s [10/18 03:50:50] ppdet.engine INFO: Epoch: [160] [100/229] learning_rate: 0.178185 loss_vfl: 0.826978 loss_bbox: 0.286812 loss_dfl: 0.189369 loss: 1.298703 eta: 19:34:06 batch_cost: 2.1617 data_cost: 0.0068 ips: 29.6069 images/s [10/18 03:51:36] ppdet.engine INFO: Epoch: [160] [120/229] learning_rate: 0.178003 loss_vfl: 0.821632 loss_bbox: 0.318073 loss_dfl: 0.201338 loss: 1.351241 eta: 19:33:22 batch_cost: 2.1849 data_cost: 0.0042 ips: 29.2914 images/s [10/18 03:52:24] ppdet.engine INFO: Epoch: [160] [140/229] learning_rate: 0.177821 loss_vfl: 0.811684 loss_bbox: 0.297358 loss_dfl: 0.188462 loss: 1.298386 eta: 19:32:37 batch_cost: 2.1598 data_cost: 0.0021 ips: 29.6326 images/s [10/18 03:53:10] ppdet.engine INFO: Epoch: [160] [160/229] learning_rate: 0.177640 loss_vfl: 0.807040 loss_bbox: 0.299152 loss_dfl: 0.189597 loss: 1.290565 eta: 19:31:52 batch_cost: 2.1832 data_cost: 0.0040 ips: 29.3153 images/s [10/18 03:53:57] ppdet.engine INFO: Epoch: [160] [180/229] learning_rate: 0.177458 loss_vfl: 0.821430 loss_bbox: 0.316465 loss_dfl: 0.194632 loss: 1.339431 eta: 19:31:07 batch_cost: 2.1329 data_cost: 0.0018 ips: 30.0065 images/s [10/18 03:54:43] ppdet.engine INFO: Epoch: [160] [200/229] learning_rate: 0.177276 loss_vfl: 0.827947 loss_bbox: 0.282230 loss_dfl: 0.188734 loss: 1.322161 eta: 19:30:21 batch_cost: 2.1147 data_cost: 0.0036 ips: 30.2648 images/s [10/18 03:55:21] ppdet.engine INFO: Epoch: [160] [220/229] learning_rate: 0.177094 loss_vfl: 0.833617 loss_bbox: 0.302516 loss_dfl: 0.197918 loss: 1.316468 eta: 19:29:29 batch_cost: 1.7424 data_cost: 0.0021 ips: 36.7315 images/s [10/18 03:56:06] ppdet.engine INFO: Epoch: [161] [ 0/229] learning_rate: 0.177013 loss_vfl: 0.831480 loss_bbox: 0.295022 loss_dfl: 0.198976 loss: 1.321143 eta: 19:29:27 batch_cost: 2.7586 data_cost: 0.9279 ips: 23.2006 images/s [10/18 03:56:52] ppdet.engine INFO: Epoch: [161] [ 20/229] learning_rate: 0.176831 loss_vfl: 0.813798 loss_bbox: 0.302744 loss_dfl: 0.188767 loss: 1.326604 eta: 19:28:42 batch_cost: 2.1670 data_cost: 0.0038 ips: 29.5344 images/s [10/18 03:57:39] ppdet.engine INFO: Epoch: [161] [ 40/229] learning_rate: 0.176649 loss_vfl: 0.799637 loss_bbox: 0.299339 loss_dfl: 0.186328 loss: 1.295608 eta: 19:27:58 batch_cost: 2.1990 data_cost: 0.0041 ips: 29.1043 images/s [10/18 03:58:28] ppdet.engine INFO: Epoch: [161] [ 60/229] learning_rate: 0.176468 loss_vfl: 0.817283 loss_bbox: 0.306378 loss_dfl: 0.195322 loss: 1.316983 eta: 19:27:14 batch_cost: 2.2144 data_cost: 0.0037 ips: 28.9017 images/s [10/18 03:59:16] ppdet.engine INFO: Epoch: [161] [ 80/229] learning_rate: 0.176286 loss_vfl: 0.823173 loss_bbox: 0.296965 loss_dfl: 0.194145 loss: 1.322971 eta: 19:26:30 batch_cost: 2.2421 data_cost: 0.0045 ips: 28.5442 images/s [10/18 04:00:03] ppdet.engine INFO: Epoch: [161] [100/229] learning_rate: 0.176104 loss_vfl: 0.825947 loss_bbox: 0.304900 loss_dfl: 0.199189 loss: 1.325539 eta: 19:25:45 batch_cost: 2.1571 data_cost: 0.0035 ips: 29.6692 images/s [10/18 04:00:49] ppdet.engine INFO: Epoch: [161] [120/229] learning_rate: 0.175923 loss_vfl: 0.826227 loss_bbox: 0.312755 loss_dfl: 0.199675 loss: 1.335515 eta: 19:25:00 batch_cost: 2.1151 data_cost: 0.0057 ips: 30.2592 images/s [10/18 04:01:37] ppdet.engine INFO: Epoch: [161] [140/229] learning_rate: 0.175741 loss_vfl: 0.830885 loss_bbox: 0.316752 loss_dfl: 0.198845 loss: 1.350545 eta: 19:24:15 batch_cost: 2.1478 data_cost: 0.0033 ips: 29.7984 images/s [10/18 04:02:22] ppdet.engine INFO: Epoch: [161] [160/229] learning_rate: 0.175560 loss_vfl: 0.822969 loss_bbox: 0.283118 loss_dfl: 0.197371 loss: 1.314056 eta: 19:23:29 batch_cost: 2.1035 data_cost: 0.0028 ips: 30.4251 images/s [10/18 04:03:10] ppdet.engine INFO: Epoch: [161] [180/229] learning_rate: 0.175378 loss_vfl: 0.807428 loss_bbox: 0.305253 loss_dfl: 0.191582 loss: 1.305894 eta: 19:22:44 batch_cost: 2.1717 data_cost: 0.0054 ips: 29.4701 images/s [10/18 04:03:56] ppdet.engine INFO: Epoch: [161] [200/229] learning_rate: 0.175197 loss_vfl: 0.825466 loss_bbox: 0.305205 loss_dfl: 0.192298 loss: 1.300871 eta: 19:21:59 batch_cost: 2.1293 data_cost: 0.0048 ips: 30.0574 images/s [10/18 04:04:33] ppdet.engine INFO: Epoch: [161] [220/229] learning_rate: 0.175015 loss_vfl: 0.822495 loss_bbox: 0.305317 loss_dfl: 0.192923 loss: 1.317493 eta: 19:21:07 batch_cost: 1.7260 data_cost: 0.0027 ips: 37.0809 images/s [10/18 04:05:17] ppdet.engine INFO: Epoch: [162] [ 0/229] learning_rate: 0.174933 loss_vfl: 0.813341 loss_bbox: 0.304123 loss_dfl: 0.194805 loss: 1.327341 eta: 19:21:03 batch_cost: 2.7266 data_cost: 0.8987 ips: 23.4728 images/s [10/18 04:06:04] ppdet.engine INFO: Epoch: [162] [ 20/229] learning_rate: 0.174752 loss_vfl: 0.801695 loss_bbox: 0.300186 loss_dfl: 0.189737 loss: 1.295314 eta: 19:20:18 batch_cost: 2.1351 data_cost: 0.0032 ips: 29.9745 images/s [10/18 04:06:51] ppdet.engine INFO: Epoch: [162] [ 40/229] learning_rate: 0.174570 loss_vfl: 0.808716 loss_bbox: 0.292660 loss_dfl: 0.188297 loss: 1.297491 eta: 19:19:34 batch_cost: 2.2094 data_cost: 0.0035 ips: 28.9666 images/s [10/18 04:07:38] ppdet.engine INFO: Epoch: [162] [ 60/229] learning_rate: 0.174389 loss_vfl: 0.804165 loss_bbox: 0.299761 loss_dfl: 0.191563 loss: 1.298059 eta: 19:18:48 batch_cost: 2.1275 data_cost: 0.0032 ips: 30.0828 images/s [10/18 04:08:24] ppdet.engine INFO: Epoch: [162] [ 80/229] learning_rate: 0.174208 loss_vfl: 0.819813 loss_bbox: 0.324895 loss_dfl: 0.202783 loss: 1.344628 eta: 19:18:03 batch_cost: 2.1578 data_cost: 0.0056 ips: 29.6603 images/s [10/18 04:09:11] ppdet.engine INFO: Epoch: [162] [100/229] learning_rate: 0.174026 loss_vfl: 0.813439 loss_bbox: 0.301521 loss_dfl: 0.188112 loss: 1.323786 eta: 19:17:18 batch_cost: 2.1208 data_cost: 0.0051 ips: 30.1779 images/s [10/18 04:09:58] ppdet.engine INFO: Epoch: [162] [120/229] learning_rate: 0.173845 loss_vfl: 0.810994 loss_bbox: 0.317077 loss_dfl: 0.194199 loss: 1.331863 eta: 19:16:33 batch_cost: 2.1643 data_cost: 0.0037 ips: 29.5706 images/s [10/18 04:10:46] ppdet.engine INFO: Epoch: [162] [140/229] learning_rate: 0.173664 loss_vfl: 0.809005 loss_bbox: 0.327140 loss_dfl: 0.204123 loss: 1.341580 eta: 19:15:48 batch_cost: 2.1564 data_cost: 0.0045 ips: 29.6793 images/s [10/18 04:11:33] ppdet.engine INFO: Epoch: [162] [160/229] learning_rate: 0.173482 loss_vfl: 0.822222 loss_bbox: 0.306247 loss_dfl: 0.193270 loss: 1.306060 eta: 19:15:05 batch_cost: 2.2328 data_cost: 0.0024 ips: 28.6636 images/s [10/18 04:12:19] ppdet.engine INFO: Epoch: [162] [180/229] learning_rate: 0.173301 loss_vfl: 0.826823 loss_bbox: 0.308396 loss_dfl: 0.197072 loss: 1.329618 eta: 19:14:19 batch_cost: 2.1204 data_cost: 0.0048 ips: 30.1827 images/s [10/18 04:13:06] ppdet.engine INFO: Epoch: [162] [200/229] learning_rate: 0.173120 loss_vfl: 0.818121 loss_bbox: 0.305253 loss_dfl: 0.197302 loss: 1.313506 eta: 19:13:35 batch_cost: 2.1817 data_cost: 0.0021 ips: 29.3351 images/s [10/18 04:13:44] ppdet.engine INFO: Epoch: [162] [220/229] learning_rate: 0.172938 loss_vfl: 0.820326 loss_bbox: 0.317436 loss_dfl: 0.201678 loss: 1.319081 eta: 19:12:43 batch_cost: 1.7383 data_cost: 0.0020 ips: 36.8179 images/s [10/18 04:14:25] ppdet.engine INFO: Epoch: [163] [ 0/229] learning_rate: 0.172857 loss_vfl: 0.823050 loss_bbox: 0.315055 loss_dfl: 0.201678 loss: 1.323103 eta: 19:12:36 batch_cost: 2.5419 data_cost: 0.9591 ips: 25.1784 images/s [10/18 04:15:14] ppdet.engine INFO: Epoch: [163] [ 20/229] learning_rate: 0.172676 loss_vfl: 0.815935 loss_bbox: 0.312624 loss_dfl: 0.193615 loss: 1.327693 eta: 19:11:52 batch_cost: 2.2452 data_cost: 0.0051 ips: 28.5048 images/s [10/18 04:16:01] ppdet.engine INFO: Epoch: [163] [ 40/229] learning_rate: 0.172494 loss_vfl: 0.807736 loss_bbox: 0.312183 loss_dfl: 0.195394 loss: 1.320540 eta: 19:11:08 batch_cost: 2.1678 data_cost: 0.0032 ips: 29.5225 images/s [10/18 04:16:49] ppdet.engine INFO: Epoch: [163] [ 60/229] learning_rate: 0.172313 loss_vfl: 0.818974 loss_bbox: 0.294296 loss_dfl: 0.192570 loss: 1.314337 eta: 19:10:23 batch_cost: 2.1645 data_cost: 0.0055 ips: 29.5676 images/s [10/18 04:17:36] ppdet.engine INFO: Epoch: [163] [ 80/229] learning_rate: 0.172132 loss_vfl: 0.806951 loss_bbox: 0.297511 loss_dfl: 0.190053 loss: 1.297236 eta: 19:09:39 batch_cost: 2.1774 data_cost: 0.0052 ips: 29.3927 images/s [10/18 04:18:25] ppdet.engine INFO: Epoch: [163] [100/229] learning_rate: 0.171951 loss_vfl: 0.796339 loss_bbox: 0.314586 loss_dfl: 0.192113 loss: 1.300781 eta: 19:08:55 batch_cost: 2.2603 data_cost: 0.0025 ips: 28.3142 images/s [10/18 04:19:11] ppdet.engine INFO: Epoch: [163] [120/229] learning_rate: 0.171770 loss_vfl: 0.822035 loss_bbox: 0.310840 loss_dfl: 0.197330 loss: 1.339762 eta: 19:08:10 batch_cost: 2.1514 data_cost: 0.0028 ips: 29.7478 images/s [10/18 04:19:57] ppdet.engine INFO: Epoch: [163] [140/229] learning_rate: 0.171589 loss_vfl: 0.807652 loss_bbox: 0.297139 loss_dfl: 0.190823 loss: 1.303770 eta: 19:07:24 batch_cost: 2.0947 data_cost: 0.0062 ips: 30.5536 images/s [10/18 04:20:44] ppdet.engine INFO: Epoch: [163] [160/229] learning_rate: 0.171408 loss_vfl: 0.800801 loss_bbox: 0.299618 loss_dfl: 0.197436 loss: 1.306232 eta: 19:06:40 batch_cost: 2.1901 data_cost: 0.0029 ips: 29.2227 images/s [10/18 04:21:32] ppdet.engine INFO: Epoch: [163] [180/229] learning_rate: 0.171227 loss_vfl: 0.809160 loss_bbox: 0.303588 loss_dfl: 0.190526 loss: 1.312555 eta: 19:05:56 batch_cost: 2.1737 data_cost: 0.0033 ips: 29.4424 images/s [10/18 04:22:19] ppdet.engine INFO: Epoch: [163] [200/229] learning_rate: 0.171046 loss_vfl: 0.804890 loss_bbox: 0.303396 loss_dfl: 0.200936 loss: 1.305154 eta: 19:05:11 batch_cost: 2.1968 data_cost: 0.0050 ips: 29.1336 images/s [10/18 04:22:57] ppdet.engine INFO: Epoch: [163] [220/229] learning_rate: 0.170865 loss_vfl: 0.826227 loss_bbox: 0.295901 loss_dfl: 0.197823 loss: 1.325977 eta: 19:04:19 batch_cost: 1.7219 data_cost: 0.0026 ips: 37.1686 images/s [10/18 04:23:39] ppdet.engine INFO: Epoch: [164] [ 0/229] learning_rate: 0.170783 loss_vfl: 0.818917 loss_bbox: 0.301154 loss_dfl: 0.197759 loss: 1.323591 eta: 19:04:13 batch_cost: 2.6060 data_cost: 0.8974 ips: 24.5587 images/s [10/18 04:24:28] ppdet.engine INFO: Epoch: [164] [ 20/229] learning_rate: 0.170602 loss_vfl: 0.816617 loss_bbox: 0.314883 loss_dfl: 0.198488 loss: 1.329272 eta: 19:03:31 batch_cost: 2.3149 data_cost: 0.0025 ips: 27.6474 images/s [10/18 04:25:16] ppdet.engine INFO: Epoch: [164] [ 40/229] learning_rate: 0.170422 loss_vfl: 0.819005 loss_bbox: 0.292601 loss_dfl: 0.200628 loss: 1.318300 eta: 19:02:47 batch_cost: 2.2049 data_cost: 0.0052 ips: 29.0263 images/s [10/18 04:26:03] ppdet.engine INFO: Epoch: [164] [ 60/229] learning_rate: 0.170241 loss_vfl: 0.807067 loss_bbox: 0.301516 loss_dfl: 0.190311 loss: 1.285083 eta: 19:02:02 batch_cost: 2.1689 data_cost: 0.0035 ips: 29.5076 images/s [10/18 04:26:50] ppdet.engine INFO: Epoch: [164] [ 80/229] learning_rate: 0.170060 loss_vfl: 0.818079 loss_bbox: 0.291989 loss_dfl: 0.186943 loss: 1.304623 eta: 19:01:18 batch_cost: 2.1919 data_cost: 0.0048 ips: 29.1991 images/s [10/18 04:27:38] ppdet.engine INFO: Epoch: [164] [100/229] learning_rate: 0.169879 loss_vfl: 0.803359 loss_bbox: 0.322103 loss_dfl: 0.201204 loss: 1.326010 eta: 19:00:34 batch_cost: 2.2085 data_cost: 0.0019 ips: 28.9786 images/s [10/18 04:28:25] ppdet.engine INFO: Epoch: [164] [120/229] learning_rate: 0.169698 loss_vfl: 0.819719 loss_bbox: 0.296147 loss_dfl: 0.190401 loss: 1.308001 eta: 18:59:50 batch_cost: 2.2108 data_cost: 0.0036 ips: 28.9485 images/s [10/18 04:29:12] ppdet.engine INFO: Epoch: [164] [140/229] learning_rate: 0.169517 loss_vfl: 0.809488 loss_bbox: 0.313387 loss_dfl: 0.198817 loss: 1.310998 eta: 18:59:05 batch_cost: 2.1546 data_cost: 0.0033 ips: 29.7045 images/s [10/18 04:29:59] ppdet.engine INFO: Epoch: [164] [160/229] learning_rate: 0.169337 loss_vfl: 0.829086 loss_bbox: 0.301752 loss_dfl: 0.201828 loss: 1.328780 eta: 18:58:20 batch_cost: 2.1705 data_cost: 0.0033 ips: 29.4868 images/s [10/18 04:30:45] ppdet.engine INFO: Epoch: [164] [180/229] learning_rate: 0.169156 loss_vfl: 0.812449 loss_bbox: 0.308264 loss_dfl: 0.197390 loss: 1.327077 eta: 18:57:35 batch_cost: 2.1273 data_cost: 0.0044 ips: 30.0850 images/s [10/18 04:31:32] ppdet.engine INFO: Epoch: [164] [200/229] learning_rate: 0.168975 loss_vfl: 0.806947 loss_bbox: 0.304042 loss_dfl: 0.197232 loss: 1.293822 eta: 18:56:51 batch_cost: 2.2069 data_cost: 0.0026 ips: 29.0002 images/s [10/18 04:32:10] ppdet.engine INFO: Epoch: [164] [220/229] learning_rate: 0.168794 loss_vfl: 0.811414 loss_bbox: 0.314087 loss_dfl: 0.198218 loss: 1.335524 eta: 18:55:59 batch_cost: 1.7391 data_cost: 0.0033 ips: 36.8001 images/s [10/18 04:32:54] ppdet.engine INFO: Epoch: [165] [ 0/229] learning_rate: 0.168713 loss_vfl: 0.809209 loss_bbox: 0.311502 loss_dfl: 0.195934 loss: 1.324743 eta: 18:55:54 batch_cost: 2.6647 data_cost: 0.9022 ips: 24.0180 images/s [10/18 04:33:41] ppdet.engine INFO: Epoch: [165] [ 20/229] learning_rate: 0.168532 loss_vfl: 0.806788 loss_bbox: 0.306159 loss_dfl: 0.195563 loss: 1.302614 eta: 18:55:10 batch_cost: 2.2036 data_cost: 0.0058 ips: 29.0431 images/s [10/18 04:34:28] ppdet.engine INFO: Epoch: [165] [ 40/229] learning_rate: 0.168352 loss_vfl: 0.823640 loss_bbox: 0.308719 loss_dfl: 0.198378 loss: 1.352274 eta: 18:54:25 batch_cost: 2.1816 data_cost: 0.0024 ips: 29.3369 images/s [10/18 04:35:16] ppdet.engine INFO: Epoch: [165] [ 60/229] learning_rate: 0.168171 loss_vfl: 0.819690 loss_bbox: 0.285736 loss_dfl: 0.185074 loss: 1.273539 eta: 18:53:42 batch_cost: 2.2367 data_cost: 0.0030 ips: 28.6132 images/s [10/18 04:36:03] ppdet.engine INFO: Epoch: [165] [ 80/229] learning_rate: 0.167991 loss_vfl: 0.829362 loss_bbox: 0.304246 loss_dfl: 0.192936 loss: 1.307037 eta: 18:52:56 batch_cost: 2.1357 data_cost: 0.0031 ips: 29.9668 images/s [10/18 04:36:50] ppdet.engine INFO: Epoch: [165] [100/229] learning_rate: 0.167810 loss_vfl: 0.807698 loss_bbox: 0.299608 loss_dfl: 0.198860 loss: 1.281626 eta: 18:52:12 batch_cost: 2.2027 data_cost: 0.0048 ips: 29.0550 images/s [10/18 04:37:37] ppdet.engine INFO: Epoch: [165] [120/229] learning_rate: 0.167630 loss_vfl: 0.812223 loss_bbox: 0.297565 loss_dfl: 0.192805 loss: 1.307116 eta: 18:51:27 batch_cost: 2.1336 data_cost: 0.0039 ips: 29.9959 images/s [10/18 04:38:23] ppdet.engine INFO: Epoch: [165] [140/229] learning_rate: 0.167449 loss_vfl: 0.807526 loss_bbox: 0.302936 loss_dfl: 0.187452 loss: 1.283736 eta: 18:50:42 batch_cost: 2.1645 data_cost: 0.0021 ips: 29.5681 images/s [10/18 04:39:11] ppdet.engine INFO: Epoch: [165] [160/229] learning_rate: 0.167269 loss_vfl: 0.805566 loss_bbox: 0.288666 loss_dfl: 0.193886 loss: 1.292502 eta: 18:49:58 batch_cost: 2.1799 data_cost: 0.0039 ips: 29.3593 images/s [10/18 04:39:57] ppdet.engine INFO: Epoch: [165] [180/229] learning_rate: 0.167088 loss_vfl: 0.811463 loss_bbox: 0.319750 loss_dfl: 0.191773 loss: 1.325658 eta: 18:49:13 batch_cost: 2.1706 data_cost: 0.0038 ips: 29.4843 images/s [10/18 04:40:44] ppdet.engine INFO: Epoch: [165] [200/229] learning_rate: 0.166908 loss_vfl: 0.813041 loss_bbox: 0.318637 loss_dfl: 0.193209 loss: 1.321759 eta: 18:48:28 batch_cost: 2.1338 data_cost: 0.0054 ips: 29.9937 images/s [10/18 04:41:21] ppdet.engine INFO: Epoch: [165] [220/229] learning_rate: 0.166727 loss_vfl: 0.822862 loss_bbox: 0.302229 loss_dfl: 0.186512 loss: 1.306772 eta: 18:47:36 batch_cost: 1.6992 data_cost: 0.0023 ips: 37.6645 images/s [10/18 04:42:03] ppdet.engine INFO: Epoch: [166] [ 0/229] learning_rate: 0.166646 loss_vfl: 0.830483 loss_bbox: 0.296130 loss_dfl: 0.186885 loss: 1.314279 eta: 18:47:29 batch_cost: 2.6000 data_cost: 0.7261 ips: 24.6153 images/s [10/18 04:42:52] ppdet.engine INFO: Epoch: [166] [ 20/229] learning_rate: 0.166466 loss_vfl: 0.811038 loss_bbox: 0.293497 loss_dfl: 0.191890 loss: 1.297522 eta: 18:46:46 batch_cost: 2.2584 data_cost: 0.0042 ips: 28.3384 images/s [10/18 04:43:40] ppdet.engine INFO: Epoch: [166] [ 40/229] learning_rate: 0.166286 loss_vfl: 0.812263 loss_bbox: 0.290855 loss_dfl: 0.190829 loss: 1.287065 eta: 18:46:02 batch_cost: 2.2236 data_cost: 0.0025 ips: 28.7819 images/s [10/18 04:44:27] ppdet.engine INFO: Epoch: [166] [ 60/229] learning_rate: 0.166105 loss_vfl: 0.801738 loss_bbox: 0.284816 loss_dfl: 0.188517 loss: 1.272908 eta: 18:45:18 batch_cost: 2.1747 data_cost: 0.0057 ips: 29.4299 images/s [10/18 04:45:15] ppdet.engine INFO: Epoch: [166] [ 80/229] learning_rate: 0.165925 loss_vfl: 0.805802 loss_bbox: 0.304532 loss_dfl: 0.193026 loss: 1.295818 eta: 18:44:32 batch_cost: 2.1337 data_cost: 0.0070 ips: 29.9944 images/s [10/18 04:46:03] ppdet.engine INFO: Epoch: [166] [100/229] learning_rate: 0.165745 loss_vfl: 0.819829 loss_bbox: 0.312844 loss_dfl: 0.194106 loss: 1.335768 eta: 18:43:49 batch_cost: 2.2329 data_cost: 0.0062 ips: 28.6627 images/s [10/18 04:46:51] ppdet.engine INFO: Epoch: [166] [120/229] learning_rate: 0.165565 loss_vfl: 0.804475 loss_bbox: 0.296419 loss_dfl: 0.197219 loss: 1.306466 eta: 18:43:04 batch_cost: 2.1653 data_cost: 0.0049 ips: 29.5571 images/s [10/18 04:47:38] ppdet.engine INFO: Epoch: [166] [140/229] learning_rate: 0.165384 loss_vfl: 0.807156 loss_bbox: 0.299817 loss_dfl: 0.191929 loss: 1.318049 eta: 18:42:20 batch_cost: 2.2053 data_cost: 0.0056 ips: 29.0215 images/s [10/18 04:48:25] ppdet.engine INFO: Epoch: [166] [160/229] learning_rate: 0.165204 loss_vfl: 0.827910 loss_bbox: 0.306679 loss_dfl: 0.199773 loss: 1.320905 eta: 18:41:35 batch_cost: 2.1416 data_cost: 0.0033 ips: 29.8847 images/s [10/18 04:49:13] ppdet.engine INFO: Epoch: [166] [180/229] learning_rate: 0.165024 loss_vfl: 0.833421 loss_bbox: 0.290323 loss_dfl: 0.185807 loss: 1.308018 eta: 18:40:51 batch_cost: 2.2224 data_cost: 0.0105 ips: 28.7978 images/s [10/18 04:49:59] ppdet.engine INFO: Epoch: [166] [200/229] learning_rate: 0.164844 loss_vfl: 0.812356 loss_bbox: 0.278197 loss_dfl: 0.187569 loss: 1.281318 eta: 18:40:05 batch_cost: 2.0984 data_cost: 0.0032 ips: 30.4989 images/s [10/18 04:50:37] ppdet.engine INFO: Epoch: [166] [220/229] learning_rate: 0.164664 loss_vfl: 0.814527 loss_bbox: 0.304342 loss_dfl: 0.193884 loss: 1.311248 eta: 18:39:14 batch_cost: 1.7532 data_cost: 0.0016 ips: 36.5056 images/s [10/18 04:51:22] ppdet.engine INFO: Epoch: [167] [ 0/229] learning_rate: 0.164583 loss_vfl: 0.820400 loss_bbox: 0.307327 loss_dfl: 0.194035 loss: 1.326714 eta: 18:39:09 batch_cost: 2.7296 data_cost: 1.0618 ips: 23.4463 images/s [10/18 04:52:10] ppdet.engine INFO: Epoch: [167] [ 20/229] learning_rate: 0.164403 loss_vfl: 0.816341 loss_bbox: 0.301226 loss_dfl: 0.198905 loss: 1.312938 eta: 18:38:25 batch_cost: 2.1948 data_cost: 0.0050 ips: 29.1596 images/s [10/18 04:52:56] ppdet.engine INFO: Epoch: [167] [ 40/229] learning_rate: 0.164223 loss_vfl: 0.801531 loss_bbox: 0.318223 loss_dfl: 0.194892 loss: 1.321297 eta: 18:37:40 batch_cost: 2.1571 data_cost: 0.0046 ips: 29.6691 images/s [10/18 04:53:44] ppdet.engine INFO: Epoch: [167] [ 60/229] learning_rate: 0.164043 loss_vfl: 0.797156 loss_bbox: 0.306222 loss_dfl: 0.198076 loss: 1.313747 eta: 18:36:56 batch_cost: 2.1980 data_cost: 0.0038 ips: 29.1176 images/s [10/18 04:54:31] ppdet.engine INFO: Epoch: [167] [ 80/229] learning_rate: 0.163863 loss_vfl: 0.798464 loss_bbox: 0.315565 loss_dfl: 0.196320 loss: 1.343554 eta: 18:36:12 batch_cost: 2.1867 data_cost: 0.0058 ips: 29.2680 images/s [10/18 04:55:18] ppdet.engine INFO: Epoch: [167] [100/229] learning_rate: 0.163683 loss_vfl: 0.827349 loss_bbox: 0.298177 loss_dfl: 0.193391 loss: 1.328488 eta: 18:35:27 batch_cost: 2.1746 data_cost: 0.0053 ips: 29.4309 images/s [10/18 04:56:05] ppdet.engine INFO: Epoch: [167] [120/229] learning_rate: 0.163503 loss_vfl: 0.794929 loss_bbox: 0.307710 loss_dfl: 0.196647 loss: 1.293571 eta: 18:34:43 batch_cost: 2.1944 data_cost: 0.0016 ips: 29.1647 images/s [10/18 04:56:54] ppdet.engine INFO: Epoch: [167] [140/229] learning_rate: 0.163324 loss_vfl: 0.830538 loss_bbox: 0.303761 loss_dfl: 0.197110 loss: 1.332130 eta: 18:33:59 batch_cost: 2.2061 data_cost: 0.0057 ips: 29.0104 images/s [10/18 04:57:41] ppdet.engine INFO: Epoch: [167] [160/229] learning_rate: 0.163144 loss_vfl: 0.799917 loss_bbox: 0.296440 loss_dfl: 0.198602 loss: 1.317072 eta: 18:33:14 batch_cost: 2.1754 data_cost: 0.0044 ips: 29.4204 images/s [10/18 04:58:28] ppdet.engine INFO: Epoch: [167] [180/229] learning_rate: 0.162964 loss_vfl: 0.831788 loss_bbox: 0.303184 loss_dfl: 0.195940 loss: 1.332518 eta: 18:32:30 batch_cost: 2.2041 data_cost: 0.0056 ips: 29.0372 images/s [10/18 04:59:14] ppdet.engine INFO: Epoch: [167] [200/229] learning_rate: 0.162784 loss_vfl: 0.811374 loss_bbox: 0.290607 loss_dfl: 0.192445 loss: 1.298657 eta: 18:31:45 batch_cost: 2.1346 data_cost: 0.0039 ips: 29.9822 images/s [10/18 04:59:52] ppdet.engine INFO: Epoch: [167] [220/229] learning_rate: 0.162605 loss_vfl: 0.826260 loss_bbox: 0.318599 loss_dfl: 0.191643 loss: 1.320810 eta: 18:30:53 batch_cost: 1.7277 data_cost: 0.0017 ips: 37.0441 images/s [10/18 05:00:33] ppdet.engine INFO: Epoch: [168] [ 0/229] learning_rate: 0.162524 loss_vfl: 0.815490 loss_bbox: 0.324797 loss_dfl: 0.197725 loss: 1.342396 eta: 18:30:46 batch_cost: 2.5387 data_cost: 0.7355 ips: 25.2097 images/s [10/18 05:01:22] ppdet.engine INFO: Epoch: [168] [ 20/229] learning_rate: 0.162344 loss_vfl: 0.801461 loss_bbox: 0.309821 loss_dfl: 0.200305 loss: 1.311988 eta: 18:30:02 batch_cost: 2.2403 data_cost: 0.0040 ips: 28.5675 images/s [10/18 05:02:09] ppdet.engine INFO: Epoch: [168] [ 40/229] learning_rate: 0.162164 loss_vfl: 0.794792 loss_bbox: 0.297467 loss_dfl: 0.190880 loss: 1.293616 eta: 18:29:17 batch_cost: 2.1698 data_cost: 0.0038 ips: 29.4962 images/s [10/18 05:02:56] ppdet.engine INFO: Epoch: [168] [ 60/229] learning_rate: 0.161985 loss_vfl: 0.817369 loss_bbox: 0.301462 loss_dfl: 0.193084 loss: 1.307182 eta: 18:28:33 batch_cost: 2.2027 data_cost: 0.0044 ips: 29.0546 images/s [10/18 05:03:43] ppdet.engine INFO: Epoch: [168] [ 80/229] learning_rate: 0.161805 loss_vfl: 0.810393 loss_bbox: 0.294271 loss_dfl: 0.195442 loss: 1.304593 eta: 18:27:48 batch_cost: 2.1476 data_cost: 0.0019 ips: 29.8002 images/s [10/18 05:04:30] ppdet.engine INFO: Epoch: [168] [100/229] learning_rate: 0.161626 loss_vfl: 0.813977 loss_bbox: 0.308831 loss_dfl: 0.199900 loss: 1.320560 eta: 18:27:03 batch_cost: 2.1534 data_cost: 0.0021 ips: 29.7206 images/s [10/18 05:05:16] ppdet.engine INFO: Epoch: [168] [120/229] learning_rate: 0.161446 loss_vfl: 0.807105 loss_bbox: 0.281373 loss_dfl: 0.186496 loss: 1.293250 eta: 18:26:19 batch_cost: 2.1572 data_cost: 0.0054 ips: 29.6676 images/s [10/18 05:06:03] ppdet.engine INFO: Epoch: [168] [140/229] learning_rate: 0.161267 loss_vfl: 0.798354 loss_bbox: 0.301215 loss_dfl: 0.193058 loss: 1.309281 eta: 18:25:33 batch_cost: 2.0894 data_cost: 0.0062 ips: 30.6310 images/s [10/18 05:06:50] ppdet.engine INFO: Epoch: [168] [160/229] learning_rate: 0.161087 loss_vfl: 0.802826 loss_bbox: 0.303637 loss_dfl: 0.194209 loss: 1.311326 eta: 18:24:48 batch_cost: 2.1619 data_cost: 0.0039 ips: 29.6040 images/s [10/18 05:07:36] ppdet.engine INFO: Epoch: [168] [180/229] learning_rate: 0.160908 loss_vfl: 0.798761 loss_bbox: 0.297013 loss_dfl: 0.198439 loss: 1.298758 eta: 18:24:02 batch_cost: 2.1088 data_cost: 0.0033 ips: 30.3485 images/s [10/18 05:08:21] ppdet.engine INFO: Epoch: [168] [200/229] learning_rate: 0.160729 loss_vfl: 0.817313 loss_bbox: 0.322747 loss_dfl: 0.187750 loss: 1.309203 eta: 18:23:17 batch_cost: 2.1048 data_cost: 0.0018 ips: 30.4069 images/s [10/18 05:09:00] ppdet.engine INFO: Epoch: [168] [220/229] learning_rate: 0.160549 loss_vfl: 0.816539 loss_bbox: 0.295232 loss_dfl: 0.189431 loss: 1.308996 eta: 18:22:26 batch_cost: 1.7776 data_cost: 0.0019 ips: 36.0045 images/s [10/18 05:09:45] ppdet.engine INFO: Epoch: [169] [ 0/229] learning_rate: 0.160469 loss_vfl: 0.826574 loss_bbox: 0.292987 loss_dfl: 0.190169 loss: 1.305817 eta: 18:22:21 batch_cost: 2.7828 data_cost: 1.2841 ips: 22.9986 images/s [10/18 05:10:32] ppdet.engine INFO: Epoch: [169] [ 20/229] learning_rate: 0.160289 loss_vfl: 0.807100 loss_bbox: 0.310995 loss_dfl: 0.196428 loss: 1.299403 eta: 18:21:36 batch_cost: 2.1302 data_cost: 0.0023 ips: 30.0445 images/s [10/18 05:11:18] ppdet.engine INFO: Epoch: [169] [ 40/229] learning_rate: 0.160110 loss_vfl: 0.812159 loss_bbox: 0.299416 loss_dfl: 0.195012 loss: 1.321265 eta: 18:20:51 batch_cost: 2.1339 data_cost: 0.0058 ips: 29.9926 images/s [10/18 05:12:05] ppdet.engine INFO: Epoch: [169] [ 60/229] learning_rate: 0.159931 loss_vfl: 0.796432 loss_bbox: 0.314348 loss_dfl: 0.200241 loss: 1.314305 eta: 18:20:07 batch_cost: 2.2175 data_cost: 0.0051 ips: 28.8611 images/s [10/18 05:12:52] ppdet.engine INFO: Epoch: [169] [ 80/229] learning_rate: 0.159752 loss_vfl: 0.801195 loss_bbox: 0.293700 loss_dfl: 0.192003 loss: 1.300854 eta: 18:19:23 batch_cost: 2.2008 data_cost: 0.0030 ips: 29.0802 images/s [10/18 05:13:39] ppdet.engine INFO: Epoch: [169] [100/229] learning_rate: 0.159572 loss_vfl: 0.807481 loss_bbox: 0.286902 loss_dfl: 0.187346 loss: 1.273386 eta: 18:18:39 batch_cost: 2.2087 data_cost: 0.0051 ips: 28.9768 images/s [10/18 05:14:27] ppdet.engine INFO: Epoch: [169] [120/229] learning_rate: 0.159393 loss_vfl: 0.804664 loss_bbox: 0.325484 loss_dfl: 0.204708 loss: 1.317443 eta: 18:17:55 batch_cost: 2.1917 data_cost: 0.0054 ips: 29.2014 images/s [10/18 05:15:14] ppdet.engine INFO: Epoch: [169] [140/229] learning_rate: 0.159214 loss_vfl: 0.817733 loss_bbox: 0.292411 loss_dfl: 0.181166 loss: 1.269495 eta: 18:17:10 batch_cost: 2.1816 data_cost: 0.0038 ips: 29.3359 images/s [10/18 05:16:00] ppdet.engine INFO: Epoch: [169] [160/229] learning_rate: 0.159035 loss_vfl: 0.792754 loss_bbox: 0.319384 loss_dfl: 0.197773 loss: 1.307374 eta: 18:16:25 batch_cost: 2.1359 data_cost: 0.0039 ips: 29.9635 images/s [10/18 05:16:47] ppdet.engine INFO: Epoch: [169] [180/229] learning_rate: 0.158856 loss_vfl: 0.814562 loss_bbox: 0.300429 loss_dfl: 0.194490 loss: 1.311112 eta: 18:15:40 batch_cost: 2.1394 data_cost: 0.0040 ips: 29.9156 images/s [10/18 05:17:33] ppdet.engine INFO: Epoch: [169] [200/229] learning_rate: 0.158677 loss_vfl: 0.826149 loss_bbox: 0.296219 loss_dfl: 0.192055 loss: 1.292170 eta: 18:14:55 batch_cost: 2.1178 data_cost: 0.0029 ips: 30.2197 images/s [10/18 05:18:11] ppdet.engine INFO: Epoch: [169] [220/229] learning_rate: 0.158498 loss_vfl: 0.807413 loss_bbox: 0.315389 loss_dfl: 0.189953 loss: 1.330234 eta: 18:14:04 batch_cost: 1.8032 data_cost: 0.0043 ips: 35.4928 images/s [10/18 05:18:25] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 05:18:26] ppdet.engine INFO: Eval iter: 0 [10/18 05:19:07] ppdet.engine INFO: Eval iter: 100 [10/18 05:19:21] ppdet.engine INFO: Eval iter: 200 [10/18 05:19:35] ppdet.engine INFO: Eval iter: 300 [10/18 05:19:49] ppdet.engine INFO: Eval iter: 400 [10/18 05:20:04] ppdet.engine INFO: Eval iter: 500 [10/18 05:20:19] ppdet.engine INFO: Eval iter: 600 [10/18 05:20:31] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.53s) creating index... index created! [10/18 05:20:32] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.97s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.61s). Accumulating evaluation results... DONE (t=11.46s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.299 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.447 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.092 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.310 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.512 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 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.450 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 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717 [10/18 05:21:53] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.15772814626942 [10/18 05:21:53] ppdet.engine INFO: Best test bbox ap is 0.303. [10/18 05:21:54] ppdet.engine INFO: Epoch: [170] [ 0/229] learning_rate: 0.158418 loss_vfl: 0.807413 loss_bbox: 0.326476 loss_dfl: 0.194853 loss: 1.340496 eta: 18:13:37 batch_cost: 1.3148 data_cost: 0.0018 ips: 48.6748 images/s [10/18 05:22:40] ppdet.engine INFO: Epoch: [170] [ 20/229] learning_rate: 0.158239 loss_vfl: 0.793339 loss_bbox: 0.304717 loss_dfl: 0.195317 loss: 1.288165 eta: 18:12:51 batch_cost: 2.1128 data_cost: 0.0037 ips: 30.2912 images/s [10/18 05:23:27] ppdet.engine INFO: Epoch: [170] [ 40/229] learning_rate: 0.158060 loss_vfl: 0.818396 loss_bbox: 0.315688 loss_dfl: 0.195800 loss: 1.310425 eta: 18:12:08 batch_cost: 2.2173 data_cost: 0.0057 ips: 28.8639 images/s [10/18 05:24:14] ppdet.engine INFO: Epoch: [170] [ 60/229] learning_rate: 0.157881 loss_vfl: 0.804535 loss_bbox: 0.291256 loss_dfl: 0.188964 loss: 1.295458 eta: 18:11:23 batch_cost: 2.1847 data_cost: 0.0027 ips: 29.2944 images/s [10/18 05:25:01] ppdet.engine INFO: Epoch: [170] [ 80/229] learning_rate: 0.157702 loss_vfl: 0.809824 loss_bbox: 0.301241 loss_dfl: 0.188136 loss: 1.298822 eta: 18:10:38 batch_cost: 2.1573 data_cost: 0.0040 ips: 29.6668 images/s [10/18 05:25:47] ppdet.engine INFO: Epoch: [170] [100/229] learning_rate: 0.157524 loss_vfl: 0.817306 loss_bbox: 0.296307 loss_dfl: 0.191633 loss: 1.307577 eta: 18:09:54 batch_cost: 2.1714 data_cost: 0.0088 ips: 29.4740 images/s [10/18 05:26:35] ppdet.engine INFO: Epoch: [170] [120/229] learning_rate: 0.157345 loss_vfl: 0.784838 loss_bbox: 0.291640 loss_dfl: 0.184736 loss: 1.296435 eta: 18:09:10 batch_cost: 2.2028 data_cost: 0.0023 ips: 29.0535 images/s [10/18 05:27:23] ppdet.engine INFO: Epoch: [170] [140/229] learning_rate: 0.157166 loss_vfl: 0.792870 loss_bbox: 0.323212 loss_dfl: 0.201234 loss: 1.313789 eta: 18:08:26 batch_cost: 2.2150 data_cost: 0.0031 ips: 28.8937 images/s [10/18 05:28:09] ppdet.engine INFO: Epoch: [170] [160/229] learning_rate: 0.156987 loss_vfl: 0.812119 loss_bbox: 0.285672 loss_dfl: 0.196309 loss: 1.308413 eta: 18:07:41 batch_cost: 2.1442 data_cost: 0.0054 ips: 29.8483 images/s [10/18 05:28:56] ppdet.engine INFO: Epoch: [170] [180/229] learning_rate: 0.156809 loss_vfl: 0.807545 loss_bbox: 0.311732 loss_dfl: 0.207939 loss: 1.351948 eta: 18:06:56 batch_cost: 2.1478 data_cost: 0.0060 ips: 29.7985 images/s [10/18 05:29:43] ppdet.engine INFO: Epoch: [170] [200/229] learning_rate: 0.156630 loss_vfl: 0.812093 loss_bbox: 0.301919 loss_dfl: 0.202913 loss: 1.306221 eta: 18:06:11 batch_cost: 2.1287 data_cost: 0.0048 ips: 30.0649 images/s [10/18 05:30:20] ppdet.engine INFO: Epoch: [170] [220/229] learning_rate: 0.156452 loss_vfl: 0.799634 loss_bbox: 0.302955 loss_dfl: 0.200080 loss: 1.287561 eta: 18:05:20 batch_cost: 1.7372 data_cost: 0.0023 ips: 36.8415 images/s [10/18 05:31:02] ppdet.engine INFO: Epoch: [171] [ 0/229] learning_rate: 0.156371 loss_vfl: 0.798251 loss_bbox: 0.300903 loss_dfl: 0.199988 loss: 1.280971 eta: 18:05:13 batch_cost: 2.6217 data_cost: 0.7625 ips: 24.4116 images/s [10/18 05:31:51] ppdet.engine INFO: Epoch: [171] [ 20/229] learning_rate: 0.156193 loss_vfl: 0.807493 loss_bbox: 0.289100 loss_dfl: 0.187202 loss: 1.294876 eta: 18:04:29 batch_cost: 2.2324 data_cost: 0.0025 ips: 28.6686 images/s [10/18 05:32:39] ppdet.engine INFO: Epoch: [171] [ 40/229] learning_rate: 0.156014 loss_vfl: 0.822020 loss_bbox: 0.310766 loss_dfl: 0.202599 loss: 1.354353 eta: 18:03:45 batch_cost: 2.1872 data_cost: 0.0044 ips: 29.2609 images/s [10/18 05:33:26] ppdet.engine INFO: Epoch: [171] [ 60/229] learning_rate: 0.155836 loss_vfl: 0.791196 loss_bbox: 0.304437 loss_dfl: 0.198248 loss: 1.312860 eta: 18:03:01 batch_cost: 2.2126 data_cost: 0.0066 ips: 28.9253 images/s [10/18 05:34:15] ppdet.engine INFO: Epoch: [171] [ 80/229] learning_rate: 0.155658 loss_vfl: 0.806466 loss_bbox: 0.301265 loss_dfl: 0.196290 loss: 1.302269 eta: 18:02:17 batch_cost: 2.2107 data_cost: 0.0022 ips: 28.9504 images/s [10/18 05:35:01] ppdet.engine INFO: Epoch: [171] [100/229] learning_rate: 0.155479 loss_vfl: 0.805359 loss_bbox: 0.307585 loss_dfl: 0.193816 loss: 1.323499 eta: 18:01:32 batch_cost: 2.1683 data_cost: 0.0042 ips: 29.5158 images/s [10/18 05:35:48] ppdet.engine INFO: Epoch: [171] [120/229] learning_rate: 0.155301 loss_vfl: 0.798944 loss_bbox: 0.302965 loss_dfl: 0.193699 loss: 1.300248 eta: 18:00:47 batch_cost: 2.1189 data_cost: 0.0030 ips: 30.2040 images/s [10/18 05:36:35] ppdet.engine INFO: Epoch: [171] [140/229] learning_rate: 0.155123 loss_vfl: 0.814997 loss_bbox: 0.308201 loss_dfl: 0.196818 loss: 1.314905 eta: 18:00:02 batch_cost: 2.1579 data_cost: 0.0056 ips: 29.6587 images/s [10/18 05:37:22] ppdet.engine INFO: Epoch: [171] [160/229] learning_rate: 0.154944 loss_vfl: 0.801332 loss_bbox: 0.307823 loss_dfl: 0.200488 loss: 1.309979 eta: 17:59:16 batch_cost: 2.0701 data_cost: 0.0032 ips: 30.9171 images/s [10/18 05:38:08] ppdet.engine INFO: Epoch: [171] [180/229] learning_rate: 0.154766 loss_vfl: 0.802655 loss_bbox: 0.303562 loss_dfl: 0.191278 loss: 1.296670 eta: 17:58:31 batch_cost: 2.1635 data_cost: 0.0046 ips: 29.5817 images/s [10/18 05:38:54] ppdet.engine INFO: Epoch: [171] [200/229] learning_rate: 0.154588 loss_vfl: 0.805703 loss_bbox: 0.298331 loss_dfl: 0.193515 loss: 1.272646 eta: 17:57:46 batch_cost: 2.1242 data_cost: 0.0038 ips: 30.1286 images/s [10/18 05:39:32] ppdet.engine INFO: Epoch: [171] [220/229] learning_rate: 0.154410 loss_vfl: 0.798788 loss_bbox: 0.327790 loss_dfl: 0.201048 loss: 1.312490 eta: 17:56:55 batch_cost: 1.7393 data_cost: 0.0026 ips: 36.7963 images/s [10/18 05:40:16] ppdet.engine INFO: Epoch: [172] [ 0/229] learning_rate: 0.154330 loss_vfl: 0.802432 loss_bbox: 0.329697 loss_dfl: 0.195367 loss: 1.308497 eta: 17:56:49 batch_cost: 2.6775 data_cost: 0.9129 ips: 23.9026 images/s [10/18 05:41:04] ppdet.engine INFO: Epoch: [172] [ 20/229] learning_rate: 0.154152 loss_vfl: 0.809049 loss_bbox: 0.326391 loss_dfl: 0.203218 loss: 1.339095 eta: 17:56:05 batch_cost: 2.2119 data_cost: 0.0044 ips: 28.9345 images/s [10/18 05:41:52] ppdet.engine INFO: Epoch: [172] [ 40/229] learning_rate: 0.153974 loss_vfl: 0.804368 loss_bbox: 0.298177 loss_dfl: 0.195591 loss: 1.290401 eta: 17:55:21 batch_cost: 2.2139 data_cost: 0.0033 ips: 28.9082 images/s [10/18 05:42:39] ppdet.engine INFO: Epoch: [172] [ 60/229] learning_rate: 0.153796 loss_vfl: 0.804402 loss_bbox: 0.315353 loss_dfl: 0.193827 loss: 1.308112 eta: 17:54:36 batch_cost: 2.1389 data_cost: 0.0033 ips: 29.9222 images/s [10/18 05:43:27] ppdet.engine INFO: Epoch: [172] [ 80/229] learning_rate: 0.153618 loss_vfl: 0.805175 loss_bbox: 0.309312 loss_dfl: 0.196451 loss: 1.309468 eta: 17:53:51 batch_cost: 2.1779 data_cost: 0.0041 ips: 29.3862 images/s [10/18 05:44:15] ppdet.engine INFO: Epoch: [172] [100/229] learning_rate: 0.153440 loss_vfl: 0.806017 loss_bbox: 0.307276 loss_dfl: 0.195907 loss: 1.320801 eta: 17:53:07 batch_cost: 2.1952 data_cost: 0.0046 ips: 29.1550 images/s [10/18 05:45:02] ppdet.engine INFO: Epoch: [172] [120/229] learning_rate: 0.153262 loss_vfl: 0.807932 loss_bbox: 0.292942 loss_dfl: 0.190905 loss: 1.302353 eta: 17:52:23 batch_cost: 2.2297 data_cost: 0.0044 ips: 28.7037 images/s [10/18 05:45:50] ppdet.engine INFO: Epoch: [172] [140/229] learning_rate: 0.153084 loss_vfl: 0.818260 loss_bbox: 0.316517 loss_dfl: 0.194704 loss: 1.326875 eta: 17:51:39 batch_cost: 2.1849 data_cost: 0.0021 ips: 29.2918 images/s [10/18 05:46:37] ppdet.engine INFO: Epoch: [172] [160/229] learning_rate: 0.152906 loss_vfl: 0.819843 loss_bbox: 0.297521 loss_dfl: 0.197048 loss: 1.319426 eta: 17:50:54 batch_cost: 2.1633 data_cost: 0.0040 ips: 29.5838 images/s [10/18 05:47:24] ppdet.engine INFO: Epoch: [172] [180/229] learning_rate: 0.152729 loss_vfl: 0.796632 loss_bbox: 0.294734 loss_dfl: 0.184394 loss: 1.274297 eta: 17:50:09 batch_cost: 2.1452 data_cost: 0.0061 ips: 29.8340 images/s [10/18 05:48:10] ppdet.engine INFO: Epoch: [172] [200/229] learning_rate: 0.152551 loss_vfl: 0.814438 loss_bbox: 0.306948 loss_dfl: 0.197340 loss: 1.305654 eta: 17:49:24 batch_cost: 2.1516 data_cost: 0.0039 ips: 29.7450 images/s [10/18 05:48:48] ppdet.engine INFO: Epoch: [172] [220/229] learning_rate: 0.152373 loss_vfl: 0.800780 loss_bbox: 0.307532 loss_dfl: 0.195612 loss: 1.301050 eta: 17:48:34 batch_cost: 1.7606 data_cost: 0.0033 ips: 36.3519 images/s [10/18 05:49:31] ppdet.engine INFO: Epoch: [173] [ 0/229] learning_rate: 0.152293 loss_vfl: 0.795874 loss_bbox: 0.327373 loss_dfl: 0.200324 loss: 1.307453 eta: 17:48:27 batch_cost: 2.6357 data_cost: 0.8611 ips: 24.2821 images/s [10/18 05:50:20] ppdet.engine INFO: Epoch: [173] [ 20/229] learning_rate: 0.152116 loss_vfl: 0.810620 loss_bbox: 0.293613 loss_dfl: 0.193887 loss: 1.324050 eta: 17:47:43 batch_cost: 2.2180 data_cost: 0.0087 ips: 28.8550 images/s [10/18 05:51:07] ppdet.engine INFO: Epoch: [173] [ 40/229] learning_rate: 0.151938 loss_vfl: 0.818626 loss_bbox: 0.319468 loss_dfl: 0.198721 loss: 1.332308 eta: 17:46:58 batch_cost: 2.1643 data_cost: 0.0038 ips: 29.5704 images/s [10/18 05:51:55] ppdet.engine INFO: Epoch: [173] [ 60/229] learning_rate: 0.151761 loss_vfl: 0.809121 loss_bbox: 0.278148 loss_dfl: 0.181077 loss: 1.258031 eta: 17:46:14 batch_cost: 2.2042 data_cost: 0.0043 ips: 29.0348 images/s [10/18 05:52:42] ppdet.engine INFO: Epoch: [173] [ 80/229] learning_rate: 0.151583 loss_vfl: 0.822289 loss_bbox: 0.310467 loss_dfl: 0.195770 loss: 1.322446 eta: 17:45:30 batch_cost: 2.1918 data_cost: 0.0032 ips: 29.1999 images/s [10/18 05:53:29] ppdet.engine INFO: Epoch: [173] [100/229] learning_rate: 0.151406 loss_vfl: 0.792534 loss_bbox: 0.308490 loss_dfl: 0.193159 loss: 1.292317 eta: 17:44:45 batch_cost: 2.1672 data_cost: 0.0054 ips: 29.5316 images/s [10/18 05:54:17] ppdet.engine INFO: Epoch: [173] [120/229] learning_rate: 0.151228 loss_vfl: 0.815299 loss_bbox: 0.286867 loss_dfl: 0.192626 loss: 1.291614 eta: 17:44:00 batch_cost: 2.1259 data_cost: 0.0053 ips: 30.1047 images/s [10/18 05:55:04] ppdet.engine INFO: Epoch: [173] [140/229] learning_rate: 0.151051 loss_vfl: 0.802265 loss_bbox: 0.312707 loss_dfl: 0.201984 loss: 1.312810 eta: 17:43:16 batch_cost: 2.2098 data_cost: 0.0034 ips: 28.9614 images/s [10/18 05:55:51] ppdet.engine INFO: Epoch: [173] [160/229] learning_rate: 0.150874 loss_vfl: 0.806625 loss_bbox: 0.313250 loss_dfl: 0.201113 loss: 1.317640 eta: 17:42:31 batch_cost: 2.1777 data_cost: 0.0056 ips: 29.3886 images/s [10/18 05:56:38] ppdet.engine INFO: Epoch: [173] [180/229] learning_rate: 0.150696 loss_vfl: 0.810715 loss_bbox: 0.334635 loss_dfl: 0.203502 loss: 1.325301 eta: 17:41:47 batch_cost: 2.1547 data_cost: 0.0027 ips: 29.7029 images/s [10/18 05:57:25] ppdet.engine INFO: Epoch: [173] [200/229] learning_rate: 0.150519 loss_vfl: 0.816606 loss_bbox: 0.298703 loss_dfl: 0.196294 loss: 1.321485 eta: 17:41:02 batch_cost: 2.1463 data_cost: 0.0040 ips: 29.8186 images/s [10/18 05:58:03] ppdet.engine INFO: Epoch: [173] [220/229] learning_rate: 0.150342 loss_vfl: 0.819706 loss_bbox: 0.301744 loss_dfl: 0.192953 loss: 1.305219 eta: 17:40:11 batch_cost: 1.7819 data_cost: 0.0031 ips: 35.9166 images/s [10/18 05:58:45] ppdet.engine INFO: Epoch: [174] [ 0/229] learning_rate: 0.150262 loss_vfl: 0.819759 loss_bbox: 0.293508 loss_dfl: 0.188627 loss: 1.306100 eta: 17:40:03 batch_cost: 2.5982 data_cost: 0.8167 ips: 24.6322 images/s [10/18 05:59:33] ppdet.engine INFO: Epoch: [174] [ 20/229] learning_rate: 0.150085 loss_vfl: 0.808733 loss_bbox: 0.307630 loss_dfl: 0.191665 loss: 1.305617 eta: 17:39:19 batch_cost: 2.2349 data_cost: 0.0037 ips: 28.6369 images/s [10/18 06:00:21] ppdet.engine INFO: Epoch: [174] [ 40/229] learning_rate: 0.149908 loss_vfl: 0.808938 loss_bbox: 0.300335 loss_dfl: 0.197109 loss: 1.300735 eta: 17:38:36 batch_cost: 2.2329 data_cost: 0.0024 ips: 28.6621 images/s [10/18 06:01:08] ppdet.engine INFO: Epoch: [174] [ 60/229] learning_rate: 0.149731 loss_vfl: 0.802193 loss_bbox: 0.282739 loss_dfl: 0.187478 loss: 1.276990 eta: 17:37:52 batch_cost: 2.2075 data_cost: 0.0034 ips: 28.9915 images/s [10/18 06:01:55] ppdet.engine INFO: Epoch: [174] [ 80/229] learning_rate: 0.149554 loss_vfl: 0.810399 loss_bbox: 0.315709 loss_dfl: 0.192684 loss: 1.346648 eta: 17:37:07 batch_cost: 2.1660 data_cost: 0.0039 ips: 29.5475 images/s [10/18 06:02:43] ppdet.engine INFO: Epoch: [174] [100/229] learning_rate: 0.149377 loss_vfl: 0.817231 loss_bbox: 0.284634 loss_dfl: 0.188712 loss: 1.297671 eta: 17:36:23 batch_cost: 2.1882 data_cost: 0.0026 ips: 29.2482 images/s [10/18 06:03:30] ppdet.engine INFO: Epoch: [174] [120/229] learning_rate: 0.149200 loss_vfl: 0.795175 loss_bbox: 0.288634 loss_dfl: 0.187751 loss: 1.283439 eta: 17:35:39 batch_cost: 2.1990 data_cost: 0.0037 ips: 29.1042 images/s [10/18 06:04:18] ppdet.engine INFO: Epoch: [174] [140/229] learning_rate: 0.149023 loss_vfl: 0.817381 loss_bbox: 0.318874 loss_dfl: 0.191662 loss: 1.304501 eta: 17:34:55 batch_cost: 2.2302 data_cost: 0.0053 ips: 28.6971 images/s [10/18 06:05:07] ppdet.engine INFO: Epoch: [174] [160/229] learning_rate: 0.148846 loss_vfl: 0.800074 loss_bbox: 0.304059 loss_dfl: 0.190828 loss: 1.313023 eta: 17:34:12 batch_cost: 2.2734 data_cost: 0.0019 ips: 28.1522 images/s [10/18 06:05:55] ppdet.engine INFO: Epoch: [174] [180/229] learning_rate: 0.148669 loss_vfl: 0.806235 loss_bbox: 0.305079 loss_dfl: 0.194682 loss: 1.325555 eta: 17:33:28 batch_cost: 2.2357 data_cost: 0.0022 ips: 28.6258 images/s [10/18 06:06:43] ppdet.engine INFO: Epoch: [174] [200/229] learning_rate: 0.148492 loss_vfl: 0.817948 loss_bbox: 0.304201 loss_dfl: 0.184609 loss: 1.307327 eta: 17:32:44 batch_cost: 2.2086 data_cost: 0.0067 ips: 28.9775 images/s [10/18 06:07:21] ppdet.engine INFO: Epoch: [174] [220/229] learning_rate: 0.148316 loss_vfl: 0.784447 loss_bbox: 0.305335 loss_dfl: 0.192218 loss: 1.302070 eta: 17:31:54 batch_cost: 1.7629 data_cost: 0.0024 ips: 36.3042 images/s [10/18 06:08:04] ppdet.engine INFO: Epoch: [175] [ 0/229] learning_rate: 0.148236 loss_vfl: 0.809230 loss_bbox: 0.305335 loss_dfl: 0.197843 loss: 1.310001 eta: 17:31:47 batch_cost: 2.6887 data_cost: 0.9117 ips: 23.8034 images/s [10/18 06:08:52] ppdet.engine INFO: Epoch: [175] [ 20/229] learning_rate: 0.148060 loss_vfl: 0.812986 loss_bbox: 0.284204 loss_dfl: 0.189317 loss: 1.284534 eta: 17:31:02 batch_cost: 2.1618 data_cost: 0.0072 ips: 29.6047 images/s [10/18 06:09:38] ppdet.engine INFO: Epoch: [175] [ 40/229] learning_rate: 0.147883 loss_vfl: 0.795125 loss_bbox: 0.306889 loss_dfl: 0.208178 loss: 1.320173 eta: 17:30:17 batch_cost: 2.1361 data_cost: 0.0046 ips: 29.9612 images/s [10/18 06:10:26] ppdet.engine INFO: Epoch: [175] [ 60/229] learning_rate: 0.147706 loss_vfl: 0.809776 loss_bbox: 0.308593 loss_dfl: 0.190664 loss: 1.304157 eta: 17:29:33 batch_cost: 2.2063 data_cost: 0.0070 ips: 29.0083 images/s [10/18 06:11:13] ppdet.engine INFO: Epoch: [175] [ 80/229] learning_rate: 0.147530 loss_vfl: 0.798501 loss_bbox: 0.291945 loss_dfl: 0.195976 loss: 1.299308 eta: 17:28:48 batch_cost: 2.1364 data_cost: 0.0057 ips: 29.9572 images/s [10/18 06:12:01] ppdet.engine INFO: Epoch: [175] [100/229] learning_rate: 0.147353 loss_vfl: 0.825360 loss_bbox: 0.309382 loss_dfl: 0.194857 loss: 1.323861 eta: 17:28:04 batch_cost: 2.1988 data_cost: 0.0027 ips: 29.1071 images/s [10/18 06:12:48] ppdet.engine INFO: Epoch: [175] [120/229] learning_rate: 0.147177 loss_vfl: 0.801952 loss_bbox: 0.289129 loss_dfl: 0.194177 loss: 1.288194 eta: 17:27:18 batch_cost: 2.1101 data_cost: 0.0068 ips: 30.3305 images/s [10/18 06:13:35] ppdet.engine INFO: Epoch: [175] [140/229] learning_rate: 0.147000 loss_vfl: 0.821317 loss_bbox: 0.291002 loss_dfl: 0.193660 loss: 1.328569 eta: 17:26:33 batch_cost: 2.1466 data_cost: 0.0062 ips: 29.8144 images/s [10/18 06:14:22] ppdet.engine INFO: Epoch: [175] [160/229] learning_rate: 0.146824 loss_vfl: 0.815229 loss_bbox: 0.272028 loss_dfl: 0.185937 loss: 1.261466 eta: 17:25:49 batch_cost: 2.1554 data_cost: 0.0022 ips: 29.6928 images/s [10/18 06:15:08] ppdet.engine INFO: Epoch: [175] [180/229] learning_rate: 0.146648 loss_vfl: 0.791432 loss_bbox: 0.302423 loss_dfl: 0.193611 loss: 1.275175 eta: 17:25:03 batch_cost: 2.1173 data_cost: 0.0065 ips: 30.2268 images/s [10/18 06:15:53] ppdet.engine INFO: Epoch: [175] [200/229] learning_rate: 0.146472 loss_vfl: 0.816123 loss_bbox: 0.307453 loss_dfl: 0.202448 loss: 1.314095 eta: 17:24:18 batch_cost: 2.1186 data_cost: 0.0041 ips: 30.2080 images/s [10/18 06:16:31] ppdet.engine INFO: Epoch: [175] [220/229] learning_rate: 0.146295 loss_vfl: 0.820505 loss_bbox: 0.308716 loss_dfl: 0.192533 loss: 1.331466 eta: 17:23:27 batch_cost: 1.7251 data_cost: 0.0019 ips: 37.1001 images/s [10/18 06:17:15] ppdet.engine INFO: Epoch: [176] [ 0/229] learning_rate: 0.146216 loss_vfl: 0.808594 loss_bbox: 0.305203 loss_dfl: 0.192983 loss: 1.307003 eta: 17:23:20 batch_cost: 2.6931 data_cost: 1.1640 ips: 23.7645 images/s [10/18 06:18:02] ppdet.engine INFO: Epoch: [176] [ 20/229] learning_rate: 0.146040 loss_vfl: 0.805004 loss_bbox: 0.300821 loss_dfl: 0.196811 loss: 1.306489 eta: 17:22:35 batch_cost: 2.0942 data_cost: 0.0067 ips: 30.5609 images/s [10/18 06:18:50] ppdet.engine INFO: Epoch: [176] [ 40/229] learning_rate: 0.145864 loss_vfl: 0.815961 loss_bbox: 0.305885 loss_dfl: 0.193096 loss: 1.305794 eta: 17:21:51 batch_cost: 2.2246 data_cost: 0.0040 ips: 28.7691 images/s [10/18 06:19:36] ppdet.engine INFO: Epoch: [176] [ 60/229] learning_rate: 0.145688 loss_vfl: 0.812352 loss_bbox: 0.290536 loss_dfl: 0.197138 loss: 1.318082 eta: 17:21:06 batch_cost: 2.1168 data_cost: 0.0047 ips: 30.2340 images/s [10/18 06:20:23] ppdet.engine INFO: Epoch: [176] [ 80/229] learning_rate: 0.145512 loss_vfl: 0.791309 loss_bbox: 0.308789 loss_dfl: 0.198486 loss: 1.290993 eta: 17:20:21 batch_cost: 2.1904 data_cost: 0.0046 ips: 29.2188 images/s [10/18 06:21:10] ppdet.engine INFO: Epoch: [176] [100/229] learning_rate: 0.145336 loss_vfl: 0.797187 loss_bbox: 0.306785 loss_dfl: 0.200292 loss: 1.306972 eta: 17:19:37 batch_cost: 2.1542 data_cost: 0.0048 ips: 29.7097 images/s [10/18 06:21:57] ppdet.engine INFO: Epoch: [176] [120/229] learning_rate: 0.145160 loss_vfl: 0.818140 loss_bbox: 0.299737 loss_dfl: 0.192367 loss: 1.322923 eta: 17:18:52 batch_cost: 2.1566 data_cost: 0.0058 ips: 29.6762 images/s [10/18 06:22:45] ppdet.engine INFO: Epoch: [176] [140/229] learning_rate: 0.144984 loss_vfl: 0.823087 loss_bbox: 0.314169 loss_dfl: 0.201474 loss: 1.341601 eta: 17:18:07 batch_cost: 2.1844 data_cost: 0.0059 ips: 29.2983 images/s [10/18 06:23:33] ppdet.engine INFO: Epoch: [176] [160/229] learning_rate: 0.144808 loss_vfl: 0.804101 loss_bbox: 0.289622 loss_dfl: 0.191096 loss: 1.281183 eta: 17:17:24 batch_cost: 2.2168 data_cost: 0.0035 ips: 28.8703 images/s [10/18 06:24:19] ppdet.engine INFO: Epoch: [176] [180/229] learning_rate: 0.144632 loss_vfl: 0.792491 loss_bbox: 0.325315 loss_dfl: 0.206462 loss: 1.332232 eta: 17:16:38 batch_cost: 2.0789 data_cost: 0.0065 ips: 30.7862 images/s [10/18 06:25:06] ppdet.engine INFO: Epoch: [176] [200/229] learning_rate: 0.144457 loss_vfl: 0.814941 loss_bbox: 0.301265 loss_dfl: 0.192072 loss: 1.316058 eta: 17:15:53 batch_cost: 2.1563 data_cost: 0.0045 ips: 29.6810 images/s [10/18 06:25:44] ppdet.engine INFO: Epoch: [176] [220/229] learning_rate: 0.144281 loss_vfl: 0.812571 loss_bbox: 0.283643 loss_dfl: 0.186760 loss: 1.288175 eta: 17:15:03 batch_cost: 1.7763 data_cost: 0.0025 ips: 36.0290 images/s [10/18 06:26:28] ppdet.engine INFO: Epoch: [177] [ 0/229] learning_rate: 0.144202 loss_vfl: 0.808941 loss_bbox: 0.288817 loss_dfl: 0.188806 loss: 1.293765 eta: 17:14:56 batch_cost: 2.7238 data_cost: 1.1235 ips: 23.4967 images/s [10/18 06:27:16] ppdet.engine INFO: Epoch: [177] [ 20/229] learning_rate: 0.144026 loss_vfl: 0.809773 loss_bbox: 0.281407 loss_dfl: 0.179988 loss: 1.262378 eta: 17:14:11 batch_cost: 2.1707 data_cost: 0.0042 ips: 29.4830 images/s [10/18 06:28:02] ppdet.engine INFO: Epoch: [177] [ 40/229] learning_rate: 0.143851 loss_vfl: 0.789124 loss_bbox: 0.321616 loss_dfl: 0.207164 loss: 1.303368 eta: 17:13:26 batch_cost: 2.1050 data_cost: 0.0069 ips: 30.4043 images/s [10/18 06:28:50] ppdet.engine INFO: Epoch: [177] [ 60/229] learning_rate: 0.143675 loss_vfl: 0.804757 loss_bbox: 0.305555 loss_dfl: 0.197178 loss: 1.307561 eta: 17:12:42 batch_cost: 2.2038 data_cost: 0.0055 ips: 29.0402 images/s [10/18 06:29:36] ppdet.engine INFO: Epoch: [177] [ 80/229] learning_rate: 0.143500 loss_vfl: 0.811881 loss_bbox: 0.293774 loss_dfl: 0.188210 loss: 1.285519 eta: 17:11:57 batch_cost: 2.1220 data_cost: 0.0061 ips: 30.1607 images/s [10/18 06:30:22] ppdet.engine INFO: Epoch: [177] [100/229] learning_rate: 0.143324 loss_vfl: 0.810536 loss_bbox: 0.293660 loss_dfl: 0.186856 loss: 1.298423 eta: 17:11:11 batch_cost: 2.1116 data_cost: 0.0033 ips: 30.3086 images/s [10/18 06:31:08] ppdet.engine INFO: Epoch: [177] [120/229] learning_rate: 0.143149 loss_vfl: 0.801473 loss_bbox: 0.291457 loss_dfl: 0.191581 loss: 1.273163 eta: 17:10:26 batch_cost: 2.1100 data_cost: 0.0032 ips: 30.3322 images/s [10/18 06:31:56] ppdet.engine INFO: Epoch: [177] [140/229] learning_rate: 0.142973 loss_vfl: 0.810905 loss_bbox: 0.280144 loss_dfl: 0.188525 loss: 1.292606 eta: 17:09:41 batch_cost: 2.1628 data_cost: 0.0061 ips: 29.5911 images/s [10/18 06:32:43] ppdet.engine INFO: Epoch: [177] [160/229] learning_rate: 0.142798 loss_vfl: 0.819220 loss_bbox: 0.308833 loss_dfl: 0.197820 loss: 1.328640 eta: 17:08:57 batch_cost: 2.1688 data_cost: 0.0069 ips: 29.5091 images/s [10/18 06:33:29] ppdet.engine INFO: Epoch: [177] [180/229] learning_rate: 0.142623 loss_vfl: 0.796195 loss_bbox: 0.302884 loss_dfl: 0.193116 loss: 1.299273 eta: 17:08:12 batch_cost: 2.1659 data_cost: 0.0052 ips: 29.5484 images/s [10/18 06:34:16] ppdet.engine INFO: Epoch: [177] [200/229] learning_rate: 0.142448 loss_vfl: 0.796346 loss_bbox: 0.320528 loss_dfl: 0.201905 loss: 1.336082 eta: 17:07:27 batch_cost: 2.1394 data_cost: 0.0068 ips: 29.9150 images/s [10/18 06:34:53] ppdet.engine INFO: Epoch: [177] [220/229] learning_rate: 0.142272 loss_vfl: 0.808948 loss_bbox: 0.298617 loss_dfl: 0.193080 loss: 1.306965 eta: 17:06:36 batch_cost: 1.7044 data_cost: 0.0017 ips: 37.5490 images/s [10/18 06:35:36] ppdet.engine INFO: Epoch: [178] [ 0/229] learning_rate: 0.142194 loss_vfl: 0.807251 loss_bbox: 0.306523 loss_dfl: 0.195655 loss: 1.316081 eta: 17:06:28 batch_cost: 2.6204 data_cost: 0.7142 ips: 24.4242 images/s [10/18 06:36:24] ppdet.engine INFO: Epoch: [178] [ 20/229] learning_rate: 0.142019 loss_vfl: 0.788722 loss_bbox: 0.309328 loss_dfl: 0.194671 loss: 1.303856 eta: 17:05:45 batch_cost: 2.2457 data_cost: 0.0072 ips: 28.4985 images/s [10/18 06:37:12] ppdet.engine INFO: Epoch: [178] [ 40/229] learning_rate: 0.141844 loss_vfl: 0.798469 loss_bbox: 0.292643 loss_dfl: 0.189740 loss: 1.276219 eta: 17:05:01 batch_cost: 2.2134 data_cost: 0.0040 ips: 28.9144 images/s [10/18 06:37:59] ppdet.engine INFO: Epoch: [178] [ 60/229] learning_rate: 0.141669 loss_vfl: 0.815215 loss_bbox: 0.304441 loss_dfl: 0.197397 loss: 1.322011 eta: 17:04:17 batch_cost: 2.2051 data_cost: 0.0055 ips: 29.0232 images/s [10/18 06:38:46] ppdet.engine INFO: Epoch: [178] [ 80/229] learning_rate: 0.141494 loss_vfl: 0.800618 loss_bbox: 0.316390 loss_dfl: 0.199443 loss: 1.309846 eta: 17:03:33 batch_cost: 2.2029 data_cost: 0.0053 ips: 29.0530 images/s [10/18 06:39:33] ppdet.engine INFO: Epoch: [178] [100/229] learning_rate: 0.141319 loss_vfl: 0.819121 loss_bbox: 0.304927 loss_dfl: 0.192869 loss: 1.312106 eta: 17:02:48 batch_cost: 2.1788 data_cost: 0.0042 ips: 29.3743 images/s [10/18 06:40:21] ppdet.engine INFO: Epoch: [178] [120/229] learning_rate: 0.141144 loss_vfl: 0.795567 loss_bbox: 0.306028 loss_dfl: 0.190095 loss: 1.300261 eta: 17:02:04 batch_cost: 2.1792 data_cost: 0.0036 ips: 29.3690 images/s [10/18 06:41:07] ppdet.engine INFO: Epoch: [178] [140/229] learning_rate: 0.140969 loss_vfl: 0.804356 loss_bbox: 0.311319 loss_dfl: 0.197224 loss: 1.313332 eta: 17:01:19 batch_cost: 2.1370 data_cost: 0.0035 ips: 29.9487 images/s [10/18 06:41:56] ppdet.engine INFO: Epoch: [178] [160/229] learning_rate: 0.140794 loss_vfl: 0.804205 loss_bbox: 0.308718 loss_dfl: 0.195310 loss: 1.313508 eta: 17:00:35 batch_cost: 2.2467 data_cost: 0.0056 ips: 28.4858 images/s [10/18 06:42:42] ppdet.engine INFO: Epoch: [178] [180/229] learning_rate: 0.140620 loss_vfl: 0.809266 loss_bbox: 0.268406 loss_dfl: 0.175059 loss: 1.258033 eta: 16:59:50 batch_cost: 2.0925 data_cost: 0.0017 ips: 30.5861 images/s [10/18 06:43:28] ppdet.engine INFO: Epoch: [178] [200/229] learning_rate: 0.140445 loss_vfl: 0.799960 loss_bbox: 0.309295 loss_dfl: 0.197031 loss: 1.310027 eta: 16:59:05 batch_cost: 2.1861 data_cost: 0.0032 ips: 29.2757 images/s [10/18 06:44:07] ppdet.engine INFO: Epoch: [178] [220/229] learning_rate: 0.140270 loss_vfl: 0.802443 loss_bbox: 0.294149 loss_dfl: 0.189966 loss: 1.271853 eta: 16:58:16 batch_cost: 1.7993 data_cost: 0.0017 ips: 35.5684 images/s [10/18 06:44:49] ppdet.engine INFO: Epoch: [179] [ 0/229] learning_rate: 0.140192 loss_vfl: 0.802303 loss_bbox: 0.289531 loss_dfl: 0.186285 loss: 1.269822 eta: 16:58:07 batch_cost: 2.6491 data_cost: 0.8690 ips: 24.1590 images/s [10/18 06:45:39] ppdet.engine INFO: Epoch: [179] [ 20/229] learning_rate: 0.140017 loss_vfl: 0.793003 loss_bbox: 0.310301 loss_dfl: 0.198339 loss: 1.315175 eta: 16:57:24 batch_cost: 2.2588 data_cost: 0.0037 ips: 28.3330 images/s [10/18 06:46:26] ppdet.engine INFO: Epoch: [179] [ 40/229] learning_rate: 0.139843 loss_vfl: 0.790220 loss_bbox: 0.299535 loss_dfl: 0.197801 loss: 1.315288 eta: 16:56:39 batch_cost: 2.1525 data_cost: 0.0056 ips: 29.7330 images/s [10/18 06:47:14] ppdet.engine INFO: Epoch: [179] [ 60/229] learning_rate: 0.139668 loss_vfl: 0.808064 loss_bbox: 0.298672 loss_dfl: 0.192879 loss: 1.282076 eta: 16:55:55 batch_cost: 2.2302 data_cost: 0.0039 ips: 28.6966 images/s [10/18 06:48:01] ppdet.engine INFO: Epoch: [179] [ 80/229] learning_rate: 0.139494 loss_vfl: 0.817807 loss_bbox: 0.291284 loss_dfl: 0.186733 loss: 1.286425 eta: 16:55:11 batch_cost: 2.2108 data_cost: 0.0037 ips: 28.9484 images/s [10/18 06:48:48] ppdet.engine INFO: Epoch: [179] [100/229] learning_rate: 0.139320 loss_vfl: 0.802809 loss_bbox: 0.305167 loss_dfl: 0.192699 loss: 1.295734 eta: 16:54:27 batch_cost: 2.1575 data_cost: 0.0055 ips: 29.6635 images/s [10/18 06:49:34] ppdet.engine INFO: Epoch: [179] [120/229] learning_rate: 0.139145 loss_vfl: 0.796579 loss_bbox: 0.307175 loss_dfl: 0.191153 loss: 1.284325 eta: 16:53:41 batch_cost: 2.0974 data_cost: 0.0041 ips: 30.5142 images/s [10/18 06:50:22] ppdet.engine INFO: Epoch: [179] [140/229] learning_rate: 0.138971 loss_vfl: 0.792364 loss_bbox: 0.311849 loss_dfl: 0.189913 loss: 1.278772 eta: 16:52:57 batch_cost: 2.1896 data_cost: 0.0030 ips: 29.2288 images/s [10/18 06:51:07] ppdet.engine INFO: Epoch: [179] [160/229] learning_rate: 0.138797 loss_vfl: 0.789562 loss_bbox: 0.300988 loss_dfl: 0.198892 loss: 1.289342 eta: 16:52:12 batch_cost: 2.1241 data_cost: 0.0023 ips: 30.1297 images/s [10/18 06:51:54] ppdet.engine INFO: Epoch: [179] [180/229] learning_rate: 0.138623 loss_vfl: 0.790525 loss_bbox: 0.322575 loss_dfl: 0.200257 loss: 1.291953 eta: 16:51:27 batch_cost: 2.1407 data_cost: 0.0029 ips: 29.8961 images/s [10/18 06:52:40] ppdet.engine INFO: Epoch: [179] [200/229] learning_rate: 0.138449 loss_vfl: 0.802590 loss_bbox: 0.299789 loss_dfl: 0.190011 loss: 1.298317 eta: 16:50:42 batch_cost: 2.1419 data_cost: 0.0051 ips: 29.8802 images/s [10/18 06:53:18] ppdet.engine INFO: Epoch: [179] [220/229] learning_rate: 0.138275 loss_vfl: 0.787064 loss_bbox: 0.305414 loss_dfl: 0.200285 loss: 1.308324 eta: 16:49:51 batch_cost: 1.7408 data_cost: 0.0050 ips: 36.7645 images/s [10/18 06:53:32] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 06:53:33] ppdet.engine INFO: Eval iter: 0 [10/18 06:54:13] ppdet.engine INFO: Eval iter: 100 [10/18 06:54:28] ppdet.engine INFO: Eval iter: 200 [10/18 06:54:43] ppdet.engine INFO: Eval iter: 300 [10/18 06:54:58] ppdet.engine INFO: Eval iter: 400 [10/18 06:55:13] ppdet.engine INFO: Eval iter: 500 [10/18 06:55:28] ppdet.engine INFO: Eval iter: 600 [10/18 06:55:39] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.91s) creating index... index created! [10/18 06:55:40] 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=63.66s). Accumulating evaluation results... DONE (t=11.76s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.303 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.450 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.095 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 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.272 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 ] = 0.451 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.158 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.505 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.723 [10/18 06:57:02] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.62993584065081 [10/18 06:57:02] ppdet.engine INFO: Best test bbox ap is 0.303. [10/18 06:57:04] ppdet.engine INFO: Epoch: [180] [ 0/229] learning_rate: 0.138197 loss_vfl: 0.796571 loss_bbox: 0.305530 loss_dfl: 0.202430 loss: 1.311888 eta: 16:49:25 batch_cost: 1.3024 data_cost: 0.0014 ips: 49.1413 images/s [10/18 06:57:50] ppdet.engine INFO: Epoch: [180] [ 20/229] learning_rate: 0.138023 loss_vfl: 0.808120 loss_bbox: 0.300897 loss_dfl: 0.192128 loss: 1.296852 eta: 16:48:40 batch_cost: 2.1666 data_cost: 0.0032 ips: 29.5393 images/s [10/18 06:58:37] ppdet.engine INFO: Epoch: [180] [ 40/229] learning_rate: 0.137849 loss_vfl: 0.804593 loss_bbox: 0.303698 loss_dfl: 0.201953 loss: 1.321150 eta: 16:47:56 batch_cost: 2.1834 data_cost: 0.0043 ips: 29.3125 images/s [10/18 06:59:24] ppdet.engine INFO: Epoch: [180] [ 60/229] learning_rate: 0.137675 loss_vfl: 0.804021 loss_bbox: 0.285708 loss_dfl: 0.183056 loss: 1.274082 eta: 16:47:11 batch_cost: 2.1648 data_cost: 0.0100 ips: 29.5633 images/s [10/18 07:00:11] ppdet.engine INFO: Epoch: [180] [ 80/229] learning_rate: 0.137501 loss_vfl: 0.792220 loss_bbox: 0.296463 loss_dfl: 0.190012 loss: 1.281318 eta: 16:46:27 batch_cost: 2.1720 data_cost: 0.0028 ips: 29.4653 images/s [10/18 07:00:57] ppdet.engine INFO: Epoch: [180] [100/229] learning_rate: 0.137327 loss_vfl: 0.794079 loss_bbox: 0.292859 loss_dfl: 0.192240 loss: 1.290164 eta: 16:45:42 batch_cost: 2.1277 data_cost: 0.0031 ips: 30.0796 images/s [10/18 07:01:43] ppdet.engine INFO: Epoch: [180] [120/229] learning_rate: 0.137154 loss_vfl: 0.801759 loss_bbox: 0.306537 loss_dfl: 0.195001 loss: 1.308537 eta: 16:44:56 batch_cost: 2.0783 data_cost: 0.0054 ips: 30.7938 images/s [10/18 07:02:30] ppdet.engine INFO: Epoch: [180] [140/229] learning_rate: 0.136980 loss_vfl: 0.812315 loss_bbox: 0.312560 loss_dfl: 0.200601 loss: 1.325110 eta: 16:44:12 batch_cost: 2.1854 data_cost: 0.0031 ips: 29.2854 images/s [10/18 07:03:17] ppdet.engine INFO: Epoch: [180] [160/229] learning_rate: 0.136807 loss_vfl: 0.816917 loss_bbox: 0.303382 loss_dfl: 0.194455 loss: 1.318588 eta: 16:43:27 batch_cost: 2.1167 data_cost: 0.0055 ips: 30.2363 images/s [10/18 07:04:04] ppdet.engine INFO: Epoch: [180] [180/229] learning_rate: 0.136633 loss_vfl: 0.802397 loss_bbox: 0.302572 loss_dfl: 0.196448 loss: 1.295513 eta: 16:42:41 batch_cost: 2.1301 data_cost: 0.0080 ips: 30.0457 images/s [10/18 07:04:49] ppdet.engine INFO: Epoch: [180] [200/229] learning_rate: 0.136460 loss_vfl: 0.800473 loss_bbox: 0.321568 loss_dfl: 0.205326 loss: 1.315545 eta: 16:41:56 batch_cost: 2.0617 data_cost: 0.0034 ips: 31.0424 images/s [10/18 07:05:28] ppdet.engine INFO: Epoch: [180] [220/229] learning_rate: 0.136286 loss_vfl: 0.803273 loss_bbox: 0.306223 loss_dfl: 0.201151 loss: 1.328645 eta: 16:41:06 batch_cost: 1.7707 data_cost: 0.0021 ips: 36.1434 images/s [10/18 07:06:13] ppdet.engine INFO: Epoch: [181] [ 0/229] learning_rate: 0.136208 loss_vfl: 0.813196 loss_bbox: 0.304757 loss_dfl: 0.195469 loss: 1.322936 eta: 16:40:59 batch_cost: 2.8143 data_cost: 0.9725 ips: 22.7407 images/s [10/18 07:07:01] ppdet.engine INFO: Epoch: [181] [ 20/229] learning_rate: 0.136035 loss_vfl: 0.798474 loss_bbox: 0.308541 loss_dfl: 0.188479 loss: 1.274776 eta: 16:40:15 batch_cost: 2.2219 data_cost: 0.0025 ips: 28.8042 images/s [10/18 07:07:49] ppdet.engine INFO: Epoch: [181] [ 40/229] learning_rate: 0.135862 loss_vfl: 0.789183 loss_bbox: 0.314198 loss_dfl: 0.195143 loss: 1.287963 eta: 16:39:31 batch_cost: 2.1994 data_cost: 0.0114 ips: 29.0988 images/s [10/18 07:08:36] ppdet.engine INFO: Epoch: [181] [ 60/229] learning_rate: 0.135688 loss_vfl: 0.810234 loss_bbox: 0.315957 loss_dfl: 0.200510 loss: 1.335687 eta: 16:38:47 batch_cost: 2.1960 data_cost: 0.0046 ips: 29.1440 images/s [10/18 07:09:22] ppdet.engine INFO: Epoch: [181] [ 80/229] learning_rate: 0.135515 loss_vfl: 0.796765 loss_bbox: 0.304246 loss_dfl: 0.196871 loss: 1.290719 eta: 16:38:02 batch_cost: 2.1549 data_cost: 0.0023 ips: 29.6997 images/s [10/18 07:10:10] ppdet.engine INFO: Epoch: [181] [100/229] learning_rate: 0.135342 loss_vfl: 0.794888 loss_bbox: 0.299134 loss_dfl: 0.192283 loss: 1.291957 eta: 16:37:17 batch_cost: 2.1365 data_cost: 0.0052 ips: 29.9559 images/s [10/18 07:10:57] ppdet.engine INFO: Epoch: [181] [120/229] learning_rate: 0.135169 loss_vfl: 0.819466 loss_bbox: 0.292189 loss_dfl: 0.183674 loss: 1.295334 eta: 16:36:33 batch_cost: 2.1886 data_cost: 0.0039 ips: 29.2422 images/s [10/18 07:11:45] ppdet.engine INFO: Epoch: [181] [140/229] learning_rate: 0.134996 loss_vfl: 0.781136 loss_bbox: 0.312471 loss_dfl: 0.204135 loss: 1.321921 eta: 16:35:48 batch_cost: 2.1573 data_cost: 0.0031 ips: 29.6672 images/s [10/18 07:12:32] ppdet.engine INFO: Epoch: [181] [160/229] learning_rate: 0.134823 loss_vfl: 0.809067 loss_bbox: 0.302922 loss_dfl: 0.195892 loss: 1.284681 eta: 16:35:04 batch_cost: 2.2223 data_cost: 0.0030 ips: 28.7984 images/s [10/18 07:13:19] ppdet.engine INFO: Epoch: [181] [180/229] learning_rate: 0.134650 loss_vfl: 0.817653 loss_bbox: 0.279442 loss_dfl: 0.184372 loss: 1.270621 eta: 16:34:19 batch_cost: 2.1118 data_cost: 0.0025 ips: 30.3065 images/s [10/18 07:14:04] ppdet.engine INFO: Epoch: [181] [200/229] learning_rate: 0.134477 loss_vfl: 0.820104 loss_bbox: 0.294123 loss_dfl: 0.192074 loss: 1.292912 eta: 16:33:34 batch_cost: 2.1246 data_cost: 0.0024 ips: 30.1234 images/s [10/18 07:14:43] ppdet.engine INFO: Epoch: [181] [220/229] learning_rate: 0.134304 loss_vfl: 0.803648 loss_bbox: 0.298354 loss_dfl: 0.186515 loss: 1.297527 eta: 16:32:45 batch_cost: 1.7916 data_cost: 0.0030 ips: 35.7227 images/s [10/18 07:15:27] ppdet.engine INFO: Epoch: [182] [ 0/229] learning_rate: 0.134227 loss_vfl: 0.810900 loss_bbox: 0.293730 loss_dfl: 0.194688 loss: 1.304010 eta: 16:32:37 batch_cost: 2.7427 data_cost: 0.8709 ips: 23.3347 images/s [10/18 07:16:15] ppdet.engine INFO: Epoch: [182] [ 20/229] learning_rate: 0.134054 loss_vfl: 0.813025 loss_bbox: 0.310158 loss_dfl: 0.203956 loss: 1.297199 eta: 16:31:52 batch_cost: 2.1813 data_cost: 0.0060 ips: 29.3400 images/s [10/18 07:17:02] ppdet.engine INFO: Epoch: [182] [ 40/229] learning_rate: 0.133881 loss_vfl: 0.808287 loss_bbox: 0.304407 loss_dfl: 0.193372 loss: 1.302458 eta: 16:31:09 batch_cost: 2.2297 data_cost: 0.0067 ips: 28.7032 images/s [10/18 07:17:50] ppdet.engine INFO: Epoch: [182] [ 60/229] learning_rate: 0.133709 loss_vfl: 0.778470 loss_bbox: 0.326321 loss_dfl: 0.206967 loss: 1.299877 eta: 16:30:25 batch_cost: 2.2236 data_cost: 0.0044 ips: 28.7821 images/s [10/18 07:18:37] ppdet.engine INFO: Epoch: [182] [ 80/229] learning_rate: 0.133536 loss_vfl: 0.804703 loss_bbox: 0.295148 loss_dfl: 0.193730 loss: 1.297216 eta: 16:29:41 batch_cost: 2.2120 data_cost: 0.0015 ips: 28.9330 images/s [10/18 07:19:24] ppdet.engine INFO: Epoch: [182] [100/229] learning_rate: 0.133364 loss_vfl: 0.798920 loss_bbox: 0.288050 loss_dfl: 0.179380 loss: 1.256057 eta: 16:28:56 batch_cost: 2.1598 data_cost: 0.0027 ips: 29.6328 images/s [10/18 07:20:11] ppdet.engine INFO: Epoch: [182] [120/229] learning_rate: 0.133191 loss_vfl: 0.790231 loss_bbox: 0.288779 loss_dfl: 0.181466 loss: 1.260303 eta: 16:28:12 batch_cost: 2.1805 data_cost: 0.0041 ips: 29.3507 images/s [10/18 07:20:58] ppdet.engine INFO: Epoch: [182] [140/229] learning_rate: 0.133019 loss_vfl: 0.802660 loss_bbox: 0.294251 loss_dfl: 0.190001 loss: 1.289706 eta: 16:27:27 batch_cost: 2.1345 data_cost: 0.0039 ips: 29.9843 images/s [10/18 07:21:45] ppdet.engine INFO: Epoch: [182] [160/229] learning_rate: 0.132847 loss_vfl: 0.802379 loss_bbox: 0.293421 loss_dfl: 0.196507 loss: 1.300893 eta: 16:26:43 batch_cost: 2.2178 data_cost: 0.0040 ips: 28.8576 images/s [10/18 07:22:32] ppdet.engine INFO: Epoch: [182] [180/229] learning_rate: 0.132674 loss_vfl: 0.797953 loss_bbox: 0.299203 loss_dfl: 0.188124 loss: 1.303638 eta: 16:25:58 batch_cost: 2.1175 data_cost: 0.0040 ips: 30.2247 images/s [10/18 07:23:19] ppdet.engine INFO: Epoch: [182] [200/229] learning_rate: 0.132502 loss_vfl: 0.800051 loss_bbox: 0.300940 loss_dfl: 0.192419 loss: 1.309948 eta: 16:25:13 batch_cost: 2.1601 data_cost: 0.0036 ips: 29.6288 images/s [10/18 07:23:57] ppdet.engine INFO: Epoch: [182] [220/229] learning_rate: 0.132330 loss_vfl: 0.810821 loss_bbox: 0.298195 loss_dfl: 0.183710 loss: 1.276025 eta: 16:24:24 batch_cost: 1.7906 data_cost: 0.0023 ips: 35.7424 images/s [10/18 07:24:40] ppdet.engine INFO: Epoch: [183] [ 0/229] learning_rate: 0.132252 loss_vfl: 0.810821 loss_bbox: 0.293469 loss_dfl: 0.187626 loss: 1.283496 eta: 16:24:15 batch_cost: 2.6306 data_cost: 0.9791 ips: 24.3293 images/s [10/18 07:25:28] ppdet.engine INFO: Epoch: [183] [ 20/229] learning_rate: 0.132080 loss_vfl: 0.807092 loss_bbox: 0.288488 loss_dfl: 0.190684 loss: 1.310892 eta: 16:23:31 batch_cost: 2.2192 data_cost: 0.0050 ips: 28.8393 images/s [10/18 07:26:16] ppdet.engine INFO: Epoch: [183] [ 40/229] learning_rate: 0.131908 loss_vfl: 0.816537 loss_bbox: 0.307728 loss_dfl: 0.195834 loss: 1.306556 eta: 16:22:47 batch_cost: 2.2190 data_cost: 0.0044 ips: 28.8419 images/s [10/18 07:27:04] ppdet.engine INFO: Epoch: [183] [ 60/229] learning_rate: 0.131736 loss_vfl: 0.785607 loss_bbox: 0.304553 loss_dfl: 0.192024 loss: 1.271679 eta: 16:22:03 batch_cost: 2.2113 data_cost: 0.0046 ips: 28.9424 images/s [10/18 07:27:50] ppdet.engine INFO: Epoch: [183] [ 80/229] learning_rate: 0.131564 loss_vfl: 0.821258 loss_bbox: 0.280906 loss_dfl: 0.187047 loss: 1.285676 eta: 16:21:18 batch_cost: 2.1308 data_cost: 0.0016 ips: 30.0357 images/s [10/18 07:28:35] ppdet.engine INFO: Epoch: [183] [100/229] learning_rate: 0.131393 loss_vfl: 0.790838 loss_bbox: 0.288744 loss_dfl: 0.196570 loss: 1.294375 eta: 16:20:32 batch_cost: 2.0624 data_cost: 0.0042 ips: 31.0320 images/s [10/18 07:29:23] ppdet.engine INFO: Epoch: [183] [120/229] learning_rate: 0.131221 loss_vfl: 0.798836 loss_bbox: 0.288450 loss_dfl: 0.190014 loss: 1.266284 eta: 16:19:48 batch_cost: 2.1907 data_cost: 0.0038 ips: 29.2147 images/s [10/18 07:30:11] ppdet.engine INFO: Epoch: [183] [140/229] learning_rate: 0.131049 loss_vfl: 0.789892 loss_bbox: 0.294397 loss_dfl: 0.197260 loss: 1.288449 eta: 16:19:03 batch_cost: 2.1886 data_cost: 0.0110 ips: 29.2428 images/s [10/18 07:30:59] ppdet.engine INFO: Epoch: [183] [160/229] learning_rate: 0.130877 loss_vfl: 0.796525 loss_bbox: 0.284176 loss_dfl: 0.188829 loss: 1.300099 eta: 16:18:19 batch_cost: 2.2051 data_cost: 0.0025 ips: 29.0236 images/s [10/18 07:31:46] ppdet.engine INFO: Epoch: [183] [180/229] learning_rate: 0.130706 loss_vfl: 0.785856 loss_bbox: 0.296824 loss_dfl: 0.186654 loss: 1.287092 eta: 16:17:35 batch_cost: 2.2149 data_cost: 0.0058 ips: 28.8948 images/s [10/18 07:32:33] ppdet.engine INFO: Epoch: [183] [200/229] learning_rate: 0.130534 loss_vfl: 0.806740 loss_bbox: 0.294994 loss_dfl: 0.187722 loss: 1.271109 eta: 16:16:51 batch_cost: 2.2030 data_cost: 0.0018 ips: 29.0509 images/s [10/18 07:33:11] ppdet.engine INFO: Epoch: [183] [220/229] learning_rate: 0.130363 loss_vfl: 0.792266 loss_bbox: 0.306517 loss_dfl: 0.194609 loss: 1.311028 eta: 16:16:02 batch_cost: 1.7563 data_cost: 0.0018 ips: 36.4405 images/s [10/18 07:33:53] ppdet.engine INFO: Epoch: [184] [ 0/229] learning_rate: 0.130286 loss_vfl: 0.795013 loss_bbox: 0.316910 loss_dfl: 0.196574 loss: 1.315845 eta: 16:15:52 batch_cost: 2.5926 data_cost: 0.8980 ips: 24.6856 images/s [10/18 07:34:40] ppdet.engine INFO: Epoch: [184] [ 20/229] learning_rate: 0.130114 loss_vfl: 0.808910 loss_bbox: 0.298527 loss_dfl: 0.192494 loss: 1.309393 eta: 16:15:07 batch_cost: 2.1626 data_cost: 0.0063 ips: 29.5940 images/s [10/18 07:35:28] ppdet.engine INFO: Epoch: [184] [ 40/229] learning_rate: 0.129943 loss_vfl: 0.804003 loss_bbox: 0.307983 loss_dfl: 0.187873 loss: 1.305553 eta: 16:14:23 batch_cost: 2.1808 data_cost: 0.0048 ips: 29.3475 images/s [10/18 07:36:15] ppdet.engine INFO: Epoch: [184] [ 60/229] learning_rate: 0.129772 loss_vfl: 0.791907 loss_bbox: 0.304661 loss_dfl: 0.185461 loss: 1.267500 eta: 16:13:39 batch_cost: 2.1802 data_cost: 0.0023 ips: 29.3547 images/s [10/18 07:37:02] ppdet.engine INFO: Epoch: [184] [ 80/229] learning_rate: 0.129600 loss_vfl: 0.803632 loss_bbox: 0.305182 loss_dfl: 0.192459 loss: 1.316137 eta: 16:12:54 batch_cost: 2.1427 data_cost: 0.0040 ips: 29.8692 images/s [10/18 07:37:49] ppdet.engine INFO: Epoch: [184] [100/229] learning_rate: 0.129429 loss_vfl: 0.786362 loss_bbox: 0.301870 loss_dfl: 0.191945 loss: 1.276488 eta: 16:12:10 batch_cost: 2.1906 data_cost: 0.0027 ips: 29.2162 images/s [10/18 07:38:36] ppdet.engine INFO: Epoch: [184] [120/229] learning_rate: 0.129258 loss_vfl: 0.807179 loss_bbox: 0.299721 loss_dfl: 0.189629 loss: 1.276031 eta: 16:11:26 batch_cost: 2.2115 data_cost: 0.0028 ips: 28.9401 images/s [10/18 07:39:23] ppdet.engine INFO: Epoch: [184] [140/229] learning_rate: 0.129087 loss_vfl: 0.811860 loss_bbox: 0.279895 loss_dfl: 0.184628 loss: 1.300759 eta: 16:10:41 batch_cost: 2.1523 data_cost: 0.0051 ips: 29.7359 images/s [10/18 07:40:11] ppdet.engine INFO: Epoch: [184] [160/229] learning_rate: 0.128916 loss_vfl: 0.801537 loss_bbox: 0.309114 loss_dfl: 0.197287 loss: 1.316616 eta: 16:09:56 batch_cost: 2.1750 data_cost: 0.0041 ips: 29.4247 images/s [10/18 07:40:59] ppdet.engine INFO: Epoch: [184] [180/229] learning_rate: 0.128745 loss_vfl: 0.785315 loss_bbox: 0.284822 loss_dfl: 0.188108 loss: 1.272581 eta: 16:09:12 batch_cost: 2.1986 data_cost: 0.0024 ips: 29.1097 images/s [10/18 07:41:46] ppdet.engine INFO: Epoch: [184] [200/229] learning_rate: 0.128574 loss_vfl: 0.796880 loss_bbox: 0.298726 loss_dfl: 0.192258 loss: 1.303668 eta: 16:08:28 batch_cost: 2.2033 data_cost: 0.0024 ips: 29.0477 images/s [10/18 07:42:24] ppdet.engine INFO: Epoch: [184] [220/229] learning_rate: 0.128403 loss_vfl: 0.801391 loss_bbox: 0.314820 loss_dfl: 0.197134 loss: 1.295709 eta: 16:07:38 batch_cost: 1.7378 data_cost: 0.0025 ips: 36.8271 images/s [10/18 07:43:08] ppdet.engine INFO: Epoch: [185] [ 0/229] learning_rate: 0.128326 loss_vfl: 0.802293 loss_bbox: 0.299049 loss_dfl: 0.194335 loss: 1.308862 eta: 16:07:31 batch_cost: 2.7931 data_cost: 0.6803 ips: 22.9137 images/s [10/18 07:43:56] ppdet.engine INFO: Epoch: [185] [ 20/229] learning_rate: 0.128156 loss_vfl: 0.799465 loss_bbox: 0.301671 loss_dfl: 0.194375 loss: 1.319075 eta: 16:06:46 batch_cost: 2.1465 data_cost: 0.0047 ips: 29.8158 images/s [10/18 07:44:44] ppdet.engine INFO: Epoch: [185] [ 40/229] learning_rate: 0.127985 loss_vfl: 0.782815 loss_bbox: 0.315521 loss_dfl: 0.203127 loss: 1.291273 eta: 16:06:02 batch_cost: 2.2139 data_cost: 0.0041 ips: 28.9077 images/s [10/18 07:45:30] ppdet.engine INFO: Epoch: [185] [ 60/229] learning_rate: 0.127814 loss_vfl: 0.812013 loss_bbox: 0.294406 loss_dfl: 0.191645 loss: 1.305179 eta: 16:05:18 batch_cost: 2.1812 data_cost: 0.0016 ips: 29.3413 images/s [10/18 07:46:17] ppdet.engine INFO: Epoch: [185] [ 80/229] learning_rate: 0.127644 loss_vfl: 0.795676 loss_bbox: 0.318135 loss_dfl: 0.194606 loss: 1.291214 eta: 16:04:33 batch_cost: 2.1524 data_cost: 0.0034 ips: 29.7348 images/s [10/18 07:47:04] ppdet.engine INFO: Epoch: [185] [100/229] learning_rate: 0.127473 loss_vfl: 0.789973 loss_bbox: 0.302499 loss_dfl: 0.190465 loss: 1.289701 eta: 16:03:48 batch_cost: 2.1233 data_cost: 0.0041 ips: 30.1418 images/s [10/18 07:47:51] ppdet.engine INFO: Epoch: [185] [120/229] learning_rate: 0.127303 loss_vfl: 0.785157 loss_bbox: 0.297259 loss_dfl: 0.192522 loss: 1.284399 eta: 16:03:04 batch_cost: 2.2345 data_cost: 0.0055 ips: 28.6422 images/s [10/18 07:48:38] ppdet.engine INFO: Epoch: [185] [140/229] learning_rate: 0.127133 loss_vfl: 0.801058 loss_bbox: 0.305431 loss_dfl: 0.193503 loss: 1.297343 eta: 16:02:20 batch_cost: 2.1555 data_cost: 0.0094 ips: 29.6914 images/s [10/18 07:49:26] ppdet.engine INFO: Epoch: [185] [160/229] learning_rate: 0.126962 loss_vfl: 0.801366 loss_bbox: 0.286637 loss_dfl: 0.188740 loss: 1.270703 eta: 16:01:36 batch_cost: 2.2097 data_cost: 0.0043 ips: 28.9637 images/s [10/18 07:50:13] ppdet.engine INFO: Epoch: [185] [180/229] learning_rate: 0.126792 loss_vfl: 0.812494 loss_bbox: 0.301934 loss_dfl: 0.198079 loss: 1.309726 eta: 16:00:51 batch_cost: 2.1816 data_cost: 0.0018 ips: 29.3365 images/s [10/18 07:51:00] ppdet.engine INFO: Epoch: [185] [200/229] learning_rate: 0.126622 loss_vfl: 0.808254 loss_bbox: 0.296889 loss_dfl: 0.190383 loss: 1.291582 eta: 16:00:07 batch_cost: 2.1851 data_cost: 0.0045 ips: 29.2892 images/s [10/18 07:51:37] ppdet.engine INFO: Epoch: [185] [220/229] learning_rate: 0.126452 loss_vfl: 0.801440 loss_bbox: 0.299438 loss_dfl: 0.191228 loss: 1.303720 eta: 15:59:17 batch_cost: 1.7347 data_cost: 0.0045 ips: 36.8937 images/s [10/18 07:52:19] ppdet.engine INFO: Epoch: [186] [ 0/229] learning_rate: 0.126375 loss_vfl: 0.778961 loss_bbox: 0.291636 loss_dfl: 0.190097 loss: 1.294117 eta: 15:59:08 batch_cost: 2.6573 data_cost: 0.7448 ips: 24.0843 images/s [10/18 07:53:09] ppdet.engine INFO: Epoch: [186] [ 20/229] learning_rate: 0.126205 loss_vfl: 0.780449 loss_bbox: 0.300768 loss_dfl: 0.195646 loss: 1.289142 eta: 15:58:25 batch_cost: 2.3140 data_cost: 0.0037 ips: 27.6579 images/s [10/18 07:53:57] ppdet.engine INFO: Epoch: [186] [ 40/229] learning_rate: 0.126035 loss_vfl: 0.801989 loss_bbox: 0.293803 loss_dfl: 0.187602 loss: 1.277922 eta: 15:57:41 batch_cost: 2.2511 data_cost: 0.0020 ips: 28.4309 images/s [10/18 07:54:44] ppdet.engine INFO: Epoch: [186] [ 60/229] learning_rate: 0.125865 loss_vfl: 0.799529 loss_bbox: 0.292282 loss_dfl: 0.189635 loss: 1.265376 eta: 15:56:57 batch_cost: 2.2051 data_cost: 0.0035 ips: 29.0238 images/s [10/18 07:55:31] ppdet.engine INFO: Epoch: [186] [ 80/229] learning_rate: 0.125695 loss_vfl: 0.804940 loss_bbox: 0.296871 loss_dfl: 0.186821 loss: 1.288467 eta: 15:56:12 batch_cost: 2.1400 data_cost: 0.0079 ips: 29.9059 images/s [10/18 07:56:18] ppdet.engine INFO: Epoch: [186] [100/229] learning_rate: 0.125526 loss_vfl: 0.802461 loss_bbox: 0.293755 loss_dfl: 0.192602 loss: 1.281573 eta: 15:55:28 batch_cost: 2.1902 data_cost: 0.0048 ips: 29.2210 images/s [10/18 07:57:05] ppdet.engine INFO: Epoch: [186] [120/229] learning_rate: 0.125356 loss_vfl: 0.792074 loss_bbox: 0.299123 loss_dfl: 0.199327 loss: 1.308295 eta: 15:54:43 batch_cost: 2.1154 data_cost: 0.0046 ips: 30.2544 images/s [10/18 07:57:52] ppdet.engine INFO: Epoch: [186] [140/229] learning_rate: 0.125186 loss_vfl: 0.787502 loss_bbox: 0.292795 loss_dfl: 0.188393 loss: 1.280524 eta: 15:53:59 batch_cost: 2.2144 data_cost: 0.0031 ips: 28.9011 images/s [10/18 07:58:41] ppdet.engine INFO: Epoch: [186] [160/229] learning_rate: 0.125016 loss_vfl: 0.796996 loss_bbox: 0.292614 loss_dfl: 0.190890 loss: 1.264940 eta: 15:53:16 batch_cost: 2.2857 data_cost: 0.0055 ips: 28.0001 images/s [10/18 07:59:27] ppdet.engine INFO: Epoch: [186] [180/229] learning_rate: 0.124847 loss_vfl: 0.801113 loss_bbox: 0.304188 loss_dfl: 0.194348 loss: 1.309101 eta: 15:52:31 batch_cost: 2.1265 data_cost: 0.0024 ips: 30.0957 images/s [10/18 08:00:13] ppdet.engine INFO: Epoch: [186] [200/229] learning_rate: 0.124677 loss_vfl: 0.808347 loss_bbox: 0.282955 loss_dfl: 0.188687 loss: 1.294424 eta: 15:51:46 batch_cost: 2.1459 data_cost: 0.0044 ips: 29.8249 images/s [10/18 08:00:51] ppdet.engine INFO: Epoch: [186] [220/229] learning_rate: 0.124508 loss_vfl: 0.806344 loss_bbox: 0.310173 loss_dfl: 0.191853 loss: 1.288621 eta: 15:50:56 batch_cost: 1.7292 data_cost: 0.0032 ips: 37.0122 images/s [10/18 08:01:33] ppdet.engine INFO: Epoch: [187] [ 0/229] learning_rate: 0.124432 loss_vfl: 0.792557 loss_bbox: 0.309160 loss_dfl: 0.187251 loss: 1.276456 eta: 15:50:47 batch_cost: 2.6324 data_cost: 1.0219 ips: 24.3123 images/s [10/18 08:02:22] ppdet.engine INFO: Epoch: [187] [ 20/229] learning_rate: 0.124263 loss_vfl: 0.809914 loss_bbox: 0.308597 loss_dfl: 0.192841 loss: 1.294281 eta: 15:50:03 batch_cost: 2.2050 data_cost: 0.0114 ips: 29.0243 images/s [10/18 08:03:09] ppdet.engine INFO: Epoch: [187] [ 40/229] learning_rate: 0.124093 loss_vfl: 0.793666 loss_bbox: 0.281615 loss_dfl: 0.185597 loss: 1.267479 eta: 15:49:18 batch_cost: 2.1791 data_cost: 0.0072 ips: 29.3700 images/s [10/18 08:03:56] ppdet.engine INFO: Epoch: [187] [ 60/229] learning_rate: 0.123924 loss_vfl: 0.800606 loss_bbox: 0.303792 loss_dfl: 0.189718 loss: 1.291851 eta: 15:48:34 batch_cost: 2.1859 data_cost: 0.0051 ips: 29.2783 images/s [10/18 08:04:45] ppdet.engine INFO: Epoch: [187] [ 80/229] learning_rate: 0.123755 loss_vfl: 0.815693 loss_bbox: 0.305637 loss_dfl: 0.193053 loss: 1.322233 eta: 15:47:50 batch_cost: 2.2407 data_cost: 0.0054 ips: 28.5625 images/s [10/18 08:05:33] ppdet.engine INFO: Epoch: [187] [100/229] learning_rate: 0.123586 loss_vfl: 0.799361 loss_bbox: 0.310647 loss_dfl: 0.199868 loss: 1.317042 eta: 15:47:06 batch_cost: 2.2153 data_cost: 0.0056 ips: 28.8899 images/s [10/18 08:06:20] ppdet.engine INFO: Epoch: [187] [120/229] learning_rate: 0.123417 loss_vfl: 0.788559 loss_bbox: 0.306978 loss_dfl: 0.190383 loss: 1.281114 eta: 15:46:22 batch_cost: 2.2057 data_cost: 0.0052 ips: 29.0153 images/s [10/18 08:07:07] ppdet.engine INFO: Epoch: [187] [140/229] learning_rate: 0.123248 loss_vfl: 0.796552 loss_bbox: 0.315291 loss_dfl: 0.201388 loss: 1.302223 eta: 15:45:38 batch_cost: 2.2004 data_cost: 0.0049 ips: 29.0858 images/s [10/18 08:07:55] ppdet.engine INFO: Epoch: [187] [160/229] learning_rate: 0.123079 loss_vfl: 0.796165 loss_bbox: 0.300459 loss_dfl: 0.195563 loss: 1.301355 eta: 15:44:54 batch_cost: 2.1630 data_cost: 0.0052 ips: 29.5886 images/s [10/18 08:08:42] ppdet.engine INFO: Epoch: [187] [180/229] learning_rate: 0.122910 loss_vfl: 0.800878 loss_bbox: 0.311772 loss_dfl: 0.201559 loss: 1.309558 eta: 15:44:09 batch_cost: 2.1701 data_cost: 0.0054 ips: 29.4915 images/s [10/18 08:09:28] ppdet.engine INFO: Epoch: [187] [200/229] learning_rate: 0.122741 loss_vfl: 0.792162 loss_bbox: 0.312205 loss_dfl: 0.193239 loss: 1.288841 eta: 15:43:24 batch_cost: 2.1083 data_cost: 0.0047 ips: 30.3555 images/s [10/18 08:10:06] ppdet.engine INFO: Epoch: [187] [220/229] learning_rate: 0.122573 loss_vfl: 0.795131 loss_bbox: 0.318582 loss_dfl: 0.199837 loss: 1.299370 eta: 15:42:34 batch_cost: 1.7444 data_cost: 0.0051 ips: 36.6898 images/s [10/18 08:10:47] ppdet.engine INFO: Epoch: [188] [ 0/229] learning_rate: 0.122497 loss_vfl: 0.795131 loss_bbox: 0.284246 loss_dfl: 0.195432 loss: 1.276728 eta: 15:42:24 batch_cost: 2.5933 data_cost: 0.8022 ips: 24.6788 images/s [10/18 08:11:36] ppdet.engine INFO: Epoch: [188] [ 20/229] learning_rate: 0.122328 loss_vfl: 0.777419 loss_bbox: 0.314837 loss_dfl: 0.196825 loss: 1.300129 eta: 15:41:41 batch_cost: 2.2865 data_cost: 0.0021 ips: 27.9908 images/s [10/18 08:12:24] ppdet.engine INFO: Epoch: [188] [ 40/229] learning_rate: 0.122160 loss_vfl: 0.815996 loss_bbox: 0.293480 loss_dfl: 0.186719 loss: 1.296796 eta: 15:40:57 batch_cost: 2.1828 data_cost: 0.0063 ips: 29.3196 images/s [10/18 08:13:11] ppdet.engine INFO: Epoch: [188] [ 60/229] learning_rate: 0.121991 loss_vfl: 0.790726 loss_bbox: 0.303238 loss_dfl: 0.189553 loss: 1.282387 eta: 15:40:12 batch_cost: 2.1614 data_cost: 0.0043 ips: 29.6101 images/s [10/18 08:13:57] ppdet.engine INFO: Epoch: [188] [ 80/229] learning_rate: 0.121823 loss_vfl: 0.795580 loss_bbox: 0.292462 loss_dfl: 0.185972 loss: 1.267814 eta: 15:39:27 batch_cost: 2.1430 data_cost: 0.0033 ips: 29.8645 images/s [10/18 08:14:45] ppdet.engine INFO: Epoch: [188] [100/229] learning_rate: 0.121655 loss_vfl: 0.788887 loss_bbox: 0.303623 loss_dfl: 0.196842 loss: 1.290240 eta: 15:38:43 batch_cost: 2.1716 data_cost: 0.0043 ips: 29.4712 images/s [10/18 08:15:31] ppdet.engine INFO: Epoch: [188] [120/229] learning_rate: 0.121486 loss_vfl: 0.773338 loss_bbox: 0.286357 loss_dfl: 0.183478 loss: 1.237149 eta: 15:37:58 batch_cost: 2.1881 data_cost: 0.0056 ips: 29.2495 images/s [10/18 08:16:17] ppdet.engine INFO: Epoch: [188] [140/229] learning_rate: 0.121318 loss_vfl: 0.794995 loss_bbox: 0.287912 loss_dfl: 0.186186 loss: 1.269835 eta: 15:37:14 batch_cost: 2.1438 data_cost: 0.0052 ips: 29.8539 images/s [10/18 08:17:04] ppdet.engine INFO: Epoch: [188] [160/229] learning_rate: 0.121150 loss_vfl: 0.780560 loss_bbox: 0.300258 loss_dfl: 0.189779 loss: 1.273702 eta: 15:36:28 batch_cost: 2.1077 data_cost: 0.0085 ips: 30.3653 images/s [10/18 08:17:50] ppdet.engine INFO: Epoch: [188] [180/229] learning_rate: 0.120982 loss_vfl: 0.791675 loss_bbox: 0.285618 loss_dfl: 0.187823 loss: 1.270208 eta: 15:35:44 batch_cost: 2.1562 data_cost: 0.0033 ips: 29.6814 images/s [10/18 08:18:36] ppdet.engine INFO: Epoch: [188] [200/229] learning_rate: 0.120814 loss_vfl: 0.800963 loss_bbox: 0.273799 loss_dfl: 0.184795 loss: 1.280474 eta: 15:34:58 batch_cost: 2.1029 data_cost: 0.0031 ips: 30.4343 images/s [10/18 08:19:15] ppdet.engine INFO: Epoch: [188] [220/229] learning_rate: 0.120646 loss_vfl: 0.805091 loss_bbox: 0.280027 loss_dfl: 0.187811 loss: 1.265784 eta: 15:34:09 batch_cost: 1.7769 data_cost: 0.0021 ips: 36.0175 images/s [10/18 08:19:57] ppdet.engine INFO: Epoch: [189] [ 0/229] learning_rate: 0.120570 loss_vfl: 0.791361 loss_bbox: 0.284289 loss_dfl: 0.188755 loss: 1.271093 eta: 15:33:59 batch_cost: 2.6192 data_cost: 0.8611 ips: 24.4352 images/s [10/18 08:20:44] ppdet.engine INFO: Epoch: [189] [ 20/229] learning_rate: 0.120403 loss_vfl: 0.794316 loss_bbox: 0.301292 loss_dfl: 0.196507 loss: 1.292537 eta: 15:33:15 batch_cost: 2.1853 data_cost: 0.0035 ips: 29.2869 images/s [10/18 08:21:31] ppdet.engine INFO: Epoch: [189] [ 40/229] learning_rate: 0.120235 loss_vfl: 0.809195 loss_bbox: 0.301729 loss_dfl: 0.197198 loss: 1.307983 eta: 15:32:30 batch_cost: 2.1493 data_cost: 0.0031 ips: 29.7771 images/s [10/18 08:22:18] ppdet.engine INFO: Epoch: [189] [ 60/229] learning_rate: 0.120067 loss_vfl: 0.798862 loss_bbox: 0.309919 loss_dfl: 0.196626 loss: 1.302745 eta: 15:31:46 batch_cost: 2.2094 data_cost: 0.0032 ips: 28.9666 images/s [10/18 08:23:05] ppdet.engine INFO: Epoch: [189] [ 80/229] learning_rate: 0.119899 loss_vfl: 0.799442 loss_bbox: 0.302013 loss_dfl: 0.195657 loss: 1.314302 eta: 15:31:02 batch_cost: 2.2033 data_cost: 0.0047 ips: 29.0472 images/s [10/18 08:23:53] ppdet.engine INFO: Epoch: [189] [100/229] learning_rate: 0.119732 loss_vfl: 0.770702 loss_bbox: 0.291425 loss_dfl: 0.191238 loss: 1.266554 eta: 15:30:18 batch_cost: 2.2221 data_cost: 0.0031 ips: 28.8018 images/s [10/18 08:24:39] ppdet.engine INFO: Epoch: [189] [120/229] learning_rate: 0.119564 loss_vfl: 0.786342 loss_bbox: 0.299338 loss_dfl: 0.198786 loss: 1.287033 eta: 15:29:33 batch_cost: 2.1264 data_cost: 0.0017 ips: 30.0983 images/s [10/18 08:25:26] ppdet.engine INFO: Epoch: [189] [140/229] learning_rate: 0.119397 loss_vfl: 0.794842 loss_bbox: 0.314702 loss_dfl: 0.192930 loss: 1.283525 eta: 15:28:49 batch_cost: 2.1511 data_cost: 0.0051 ips: 29.7525 images/s [10/18 08:26:15] ppdet.engine INFO: Epoch: [189] [160/229] learning_rate: 0.119230 loss_vfl: 0.796936 loss_bbox: 0.297869 loss_dfl: 0.193984 loss: 1.285974 eta: 15:28:05 batch_cost: 2.2761 data_cost: 0.0034 ips: 28.1179 images/s [10/18 08:27:02] ppdet.engine INFO: Epoch: [189] [180/229] learning_rate: 0.119062 loss_vfl: 0.821470 loss_bbox: 0.328521 loss_dfl: 0.201580 loss: 1.349716 eta: 15:27:21 batch_cost: 2.1774 data_cost: 0.0049 ips: 29.3932 images/s [10/18 08:27:49] ppdet.engine INFO: Epoch: [189] [200/229] learning_rate: 0.118895 loss_vfl: 0.807692 loss_bbox: 0.284843 loss_dfl: 0.187267 loss: 1.283539 eta: 15:26:37 batch_cost: 2.2371 data_cost: 0.0021 ips: 28.6085 images/s [10/18 08:28:27] ppdet.engine INFO: Epoch: [189] [220/229] learning_rate: 0.118728 loss_vfl: 0.780821 loss_bbox: 0.304621 loss_dfl: 0.191324 loss: 1.287873 eta: 15:25:48 batch_cost: 1.7345 data_cost: 0.0038 ips: 36.8982 images/s [10/18 08:28:41] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 08:28:42] ppdet.engine INFO: Eval iter: 0 [10/18 08:29:24] ppdet.engine INFO: Eval iter: 100 [10/18 08:29:39] ppdet.engine INFO: Eval iter: 200 [10/18 08:29:53] ppdet.engine INFO: Eval iter: 300 [10/18 08:30:08] ppdet.engine INFO: Eval iter: 400 [10/18 08:30:23] ppdet.engine INFO: Eval iter: 500 [10/18 08:30:38] ppdet.engine INFO: Eval iter: 600 [10/18 08:30:51] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.03s) creating index... index created! [10/18 08:30:52] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.09s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=60.96s). Accumulating evaluation results... DONE (t=11.35s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.451 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.316 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.522 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 ] = 0.426 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 ] = 0.164 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.725 [10/18 08:32:11] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.09408784155596 [10/18 08:32:11] ppdet.engine INFO: Best test bbox ap is 0.304. [10/18 08:32:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 08:32:12] ppdet.engine INFO: Epoch: [190] [ 0/229] learning_rate: 0.118653 loss_vfl: 0.788073 loss_bbox: 0.307024 loss_dfl: 0.186021 loss: 1.291303 eta: 15:25:22 batch_cost: 1.3024 data_cost: 0.0037 ips: 49.1389 images/s [10/18 08:32:59] ppdet.engine INFO: Epoch: [190] [ 20/229] learning_rate: 0.118486 loss_vfl: 0.792662 loss_bbox: 0.287076 loss_dfl: 0.190655 loss: 1.269634 eta: 15:24:38 batch_cost: 2.1708 data_cost: 0.0037 ips: 29.4828 images/s [10/18 08:33:45] ppdet.engine INFO: Epoch: [190] [ 40/229] learning_rate: 0.118319 loss_vfl: 0.788391 loss_bbox: 0.295425 loss_dfl: 0.190676 loss: 1.287297 eta: 15:23:53 batch_cost: 2.1209 data_cost: 0.0022 ips: 30.1755 images/s [10/18 08:34:33] ppdet.engine INFO: Epoch: [190] [ 60/229] learning_rate: 0.118152 loss_vfl: 0.787782 loss_bbox: 0.312599 loss_dfl: 0.193097 loss: 1.301271 eta: 15:23:09 batch_cost: 2.2239 data_cost: 0.0034 ips: 28.7782 images/s [10/18 08:35:20] ppdet.engine INFO: Epoch: [190] [ 80/229] learning_rate: 0.117985 loss_vfl: 0.797713 loss_bbox: 0.296304 loss_dfl: 0.190162 loss: 1.282408 eta: 15:22:24 batch_cost: 2.1682 data_cost: 0.0046 ips: 29.5182 images/s [10/18 08:36:06] ppdet.engine INFO: Epoch: [190] [100/229] learning_rate: 0.117818 loss_vfl: 0.813792 loss_bbox: 0.291455 loss_dfl: 0.185214 loss: 1.286042 eta: 15:21:40 batch_cost: 2.1491 data_cost: 0.0076 ips: 29.7794 images/s [10/18 08:36:53] ppdet.engine INFO: Epoch: [190] [120/229] learning_rate: 0.117651 loss_vfl: 0.808634 loss_bbox: 0.304189 loss_dfl: 0.194887 loss: 1.308985 eta: 15:20:54 batch_cost: 2.0977 data_cost: 0.0040 ips: 30.5092 images/s [10/18 08:37:39] ppdet.engine INFO: Epoch: [190] [140/229] learning_rate: 0.117485 loss_vfl: 0.794445 loss_bbox: 0.306737 loss_dfl: 0.188854 loss: 1.297858 eta: 15:20:09 batch_cost: 2.1324 data_cost: 0.0040 ips: 30.0128 images/s [10/18 08:38:26] ppdet.engine INFO: Epoch: [190] [160/229] learning_rate: 0.117318 loss_vfl: 0.794821 loss_bbox: 0.300844 loss_dfl: 0.187491 loss: 1.276536 eta: 15:19:25 batch_cost: 2.1606 data_cost: 0.0026 ips: 29.6216 images/s [10/18 08:39:13] ppdet.engine INFO: Epoch: [190] [180/229] learning_rate: 0.117152 loss_vfl: 0.790920 loss_bbox: 0.273948 loss_dfl: 0.183535 loss: 1.270433 eta: 15:18:41 batch_cost: 2.1871 data_cost: 0.0088 ips: 29.2627 images/s [10/18 08:39:59] ppdet.engine INFO: Epoch: [190] [200/229] learning_rate: 0.116985 loss_vfl: 0.791442 loss_bbox: 0.318028 loss_dfl: 0.198859 loss: 1.295439 eta: 15:17:56 batch_cost: 2.1453 data_cost: 0.0026 ips: 29.8330 images/s [10/18 08:40:37] ppdet.engine INFO: Epoch: [190] [220/229] learning_rate: 0.116819 loss_vfl: 0.809613 loss_bbox: 0.291062 loss_dfl: 0.191034 loss: 1.301551 eta: 15:17:07 batch_cost: 1.7766 data_cost: 0.0030 ips: 36.0247 images/s [10/18 08:41:22] ppdet.engine INFO: Epoch: [191] [ 0/229] learning_rate: 0.116744 loss_vfl: 0.816525 loss_bbox: 0.281950 loss_dfl: 0.187204 loss: 1.305486 eta: 15:16:58 batch_cost: 2.7440 data_cost: 0.8583 ips: 23.3240 images/s [10/18 08:42:08] ppdet.engine INFO: Epoch: [191] [ 20/229] learning_rate: 0.116578 loss_vfl: 0.791756 loss_bbox: 0.299083 loss_dfl: 0.195443 loss: 1.286583 eta: 15:16:14 batch_cost: 2.1557 data_cost: 0.0025 ips: 29.6883 images/s [10/18 08:42:56] ppdet.engine INFO: Epoch: [191] [ 40/229] learning_rate: 0.116411 loss_vfl: 0.793175 loss_bbox: 0.306723 loss_dfl: 0.203294 loss: 1.282917 eta: 15:15:30 batch_cost: 2.2444 data_cost: 0.0033 ips: 28.5159 images/s [10/18 08:43:44] ppdet.engine INFO: Epoch: [191] [ 60/229] learning_rate: 0.116245 loss_vfl: 0.804472 loss_bbox: 0.303185 loss_dfl: 0.189091 loss: 1.282336 eta: 15:14:46 batch_cost: 2.1721 data_cost: 0.0039 ips: 29.4646 images/s [10/18 08:44:30] ppdet.engine INFO: Epoch: [191] [ 80/229] learning_rate: 0.116079 loss_vfl: 0.784718 loss_bbox: 0.295564 loss_dfl: 0.192414 loss: 1.271742 eta: 15:14:01 batch_cost: 2.1799 data_cost: 0.0022 ips: 29.3588 images/s [10/18 08:45:17] ppdet.engine INFO: Epoch: [191] [100/229] learning_rate: 0.115913 loss_vfl: 0.775389 loss_bbox: 0.306913 loss_dfl: 0.199362 loss: 1.284101 eta: 15:13:17 batch_cost: 2.1887 data_cost: 0.0036 ips: 29.2405 images/s [10/18 08:46:04] ppdet.engine INFO: Epoch: [191] [120/229] learning_rate: 0.115747 loss_vfl: 0.776589 loss_bbox: 0.304619 loss_dfl: 0.199315 loss: 1.305531 eta: 15:12:32 batch_cost: 2.1121 data_cost: 0.0024 ips: 30.3018 images/s [10/18 08:46:50] ppdet.engine INFO: Epoch: [191] [140/229] learning_rate: 0.115581 loss_vfl: 0.785705 loss_bbox: 0.307393 loss_dfl: 0.197160 loss: 1.296604 eta: 15:11:46 batch_cost: 2.0455 data_cost: 0.0040 ips: 31.2875 images/s [10/18 08:47:37] ppdet.engine INFO: Epoch: [191] [160/229] learning_rate: 0.115416 loss_vfl: 0.798572 loss_bbox: 0.301807 loss_dfl: 0.192174 loss: 1.292546 eta: 15:11:02 batch_cost: 2.1951 data_cost: 0.0024 ips: 29.1553 images/s [10/18 08:48:23] ppdet.engine INFO: Epoch: [191] [180/229] learning_rate: 0.115250 loss_vfl: 0.792471 loss_bbox: 0.291307 loss_dfl: 0.193167 loss: 1.274477 eta: 15:10:17 batch_cost: 2.1515 data_cost: 0.0036 ips: 29.7468 images/s [10/18 08:49:08] ppdet.engine INFO: Epoch: [191] [200/229] learning_rate: 0.115084 loss_vfl: 0.796370 loss_bbox: 0.296597 loss_dfl: 0.190131 loss: 1.270736 eta: 15:09:32 batch_cost: 2.0858 data_cost: 0.0028 ips: 30.6840 images/s [10/18 08:49:46] ppdet.engine INFO: Epoch: [191] [220/229] learning_rate: 0.114919 loss_vfl: 0.795507 loss_bbox: 0.299296 loss_dfl: 0.200609 loss: 1.293884 eta: 15:08:42 batch_cost: 1.7054 data_cost: 0.0018 ips: 37.5287 images/s [10/18 08:50:28] ppdet.engine INFO: Epoch: [192] [ 0/229] learning_rate: 0.114844 loss_vfl: 0.822595 loss_bbox: 0.303646 loss_dfl: 0.199772 loss: 1.322919 eta: 15:08:32 batch_cost: 2.6574 data_cost: 0.9743 ips: 24.0840 images/s [10/18 08:51:16] ppdet.engine INFO: Epoch: [192] [ 20/229] learning_rate: 0.114679 loss_vfl: 0.778560 loss_bbox: 0.305119 loss_dfl: 0.193890 loss: 1.273220 eta: 15:07:48 batch_cost: 2.2109 data_cost: 0.0055 ips: 28.9479 images/s [10/18 08:52:02] ppdet.engine INFO: Epoch: [192] [ 40/229] learning_rate: 0.114513 loss_vfl: 0.797020 loss_bbox: 0.292421 loss_dfl: 0.186461 loss: 1.273261 eta: 15:07:03 batch_cost: 2.1239 data_cost: 0.0052 ips: 30.1332 images/s [10/18 08:52:50] ppdet.engine INFO: Epoch: [192] [ 60/229] learning_rate: 0.114348 loss_vfl: 0.810417 loss_bbox: 0.287402 loss_dfl: 0.189571 loss: 1.275265 eta: 15:06:19 batch_cost: 2.1894 data_cost: 0.0054 ips: 29.2314 images/s [10/18 08:53:37] ppdet.engine INFO: Epoch: [192] [ 80/229] learning_rate: 0.114183 loss_vfl: 0.794412 loss_bbox: 0.313548 loss_dfl: 0.191265 loss: 1.290308 eta: 15:05:34 batch_cost: 2.1516 data_cost: 0.0029 ips: 29.7458 images/s [10/18 08:54:24] ppdet.engine INFO: Epoch: [192] [100/229] learning_rate: 0.114017 loss_vfl: 0.790363 loss_bbox: 0.320838 loss_dfl: 0.201831 loss: 1.314991 eta: 15:04:50 batch_cost: 2.1641 data_cost: 0.0033 ips: 29.5742 images/s [10/18 08:55:11] ppdet.engine INFO: Epoch: [192] [120/229] learning_rate: 0.113852 loss_vfl: 0.795252 loss_bbox: 0.291346 loss_dfl: 0.193604 loss: 1.297607 eta: 15:04:05 batch_cost: 2.1566 data_cost: 0.0049 ips: 29.6770 images/s [10/18 08:55:58] ppdet.engine INFO: Epoch: [192] [140/229] learning_rate: 0.113687 loss_vfl: 0.801752 loss_bbox: 0.309748 loss_dfl: 0.205300 loss: 1.317165 eta: 15:03:21 batch_cost: 2.1892 data_cost: 0.0031 ips: 29.2348 images/s [10/18 08:56:45] ppdet.engine INFO: Epoch: [192] [160/229] learning_rate: 0.113522 loss_vfl: 0.797889 loss_bbox: 0.282500 loss_dfl: 0.179231 loss: 1.264565 eta: 15:02:36 batch_cost: 2.1796 data_cost: 0.0030 ips: 29.3636 images/s [10/18 08:57:31] ppdet.engine INFO: Epoch: [192] [180/229] learning_rate: 0.113357 loss_vfl: 0.806005 loss_bbox: 0.300926 loss_dfl: 0.198526 loss: 1.293939 eta: 15:01:52 batch_cost: 2.1489 data_cost: 0.0025 ips: 29.7829 images/s [10/18 08:58:17] ppdet.engine INFO: Epoch: [192] [200/229] learning_rate: 0.113193 loss_vfl: 0.788335 loss_bbox: 0.306343 loss_dfl: 0.194610 loss: 1.289808 eta: 15:01:07 batch_cost: 2.1589 data_cost: 0.0033 ips: 29.6442 images/s [10/18 08:58:55] ppdet.engine INFO: Epoch: [192] [220/229] learning_rate: 0.113028 loss_vfl: 0.808785 loss_bbox: 0.299077 loss_dfl: 0.196721 loss: 1.323759 eta: 15:00:18 batch_cost: 1.7492 data_cost: 0.0033 ips: 36.5892 images/s [10/18 08:59:39] ppdet.engine INFO: Epoch: [193] [ 0/229] learning_rate: 0.112954 loss_vfl: 0.806222 loss_bbox: 0.299077 loss_dfl: 0.195986 loss: 1.307373 eta: 15:00:09 batch_cost: 2.7145 data_cost: 1.0814 ips: 23.5770 images/s [10/18 09:00:27] ppdet.engine INFO: Epoch: [193] [ 20/229] learning_rate: 0.112789 loss_vfl: 0.788008 loss_bbox: 0.303437 loss_dfl: 0.193798 loss: 1.279022 eta: 14:59:24 batch_cost: 2.1628 data_cost: 0.0054 ips: 29.5908 images/s [10/18 09:01:15] ppdet.engine INFO: Epoch: [193] [ 40/229] learning_rate: 0.112625 loss_vfl: 0.796228 loss_bbox: 0.292824 loss_dfl: 0.187598 loss: 1.282166 eta: 14:58:41 batch_cost: 2.2674 data_cost: 0.0054 ips: 28.2267 images/s [10/18 09:02:02] ppdet.engine INFO: Epoch: [193] [ 60/229] learning_rate: 0.112460 loss_vfl: 0.777111 loss_bbox: 0.301764 loss_dfl: 0.187370 loss: 1.269934 eta: 14:57:56 batch_cost: 2.1702 data_cost: 0.0042 ips: 29.4909 images/s [10/18 09:02:50] ppdet.engine INFO: Epoch: [193] [ 80/229] learning_rate: 0.112296 loss_vfl: 0.782553 loss_bbox: 0.301347 loss_dfl: 0.188761 loss: 1.288283 eta: 14:57:11 batch_cost: 2.1496 data_cost: 0.0049 ips: 29.7736 images/s [10/18 09:03:36] ppdet.engine INFO: Epoch: [193] [100/229] learning_rate: 0.112131 loss_vfl: 0.798127 loss_bbox: 0.299721 loss_dfl: 0.199305 loss: 1.298955 eta: 14:56:26 batch_cost: 2.1206 data_cost: 0.0062 ips: 30.1797 images/s [10/18 09:04:23] ppdet.engine INFO: Epoch: [193] [120/229] learning_rate: 0.111967 loss_vfl: 0.800101 loss_bbox: 0.306990 loss_dfl: 0.196481 loss: 1.302512 eta: 14:55:42 batch_cost: 2.1529 data_cost: 0.0053 ips: 29.7275 images/s [10/18 09:05:11] ppdet.engine INFO: Epoch: [193] [140/229] learning_rate: 0.111803 loss_vfl: 0.786272 loss_bbox: 0.295058 loss_dfl: 0.185701 loss: 1.265641 eta: 14:54:57 batch_cost: 2.1351 data_cost: 0.0060 ips: 29.9758 images/s [10/18 09:05:58] ppdet.engine INFO: Epoch: [193] [160/229] learning_rate: 0.111639 loss_vfl: 0.801665 loss_bbox: 0.294227 loss_dfl: 0.189259 loss: 1.287395 eta: 14:54:13 batch_cost: 2.2078 data_cost: 0.0035 ips: 28.9887 images/s [10/18 09:06:44] ppdet.engine INFO: Epoch: [193] [180/229] learning_rate: 0.111475 loss_vfl: 0.787808 loss_bbox: 0.289631 loss_dfl: 0.191734 loss: 1.276687 eta: 14:53:28 batch_cost: 2.1520 data_cost: 0.0026 ips: 29.7393 images/s [10/18 09:07:31] ppdet.engine INFO: Epoch: [193] [200/229] learning_rate: 0.111311 loss_vfl: 0.791948 loss_bbox: 0.300421 loss_dfl: 0.185966 loss: 1.290012 eta: 14:52:44 batch_cost: 2.1957 data_cost: 0.0021 ips: 29.1478 images/s [10/18 09:08:10] ppdet.engine INFO: Epoch: [193] [220/229] learning_rate: 0.111147 loss_vfl: 0.771904 loss_bbox: 0.300496 loss_dfl: 0.189808 loss: 1.260949 eta: 14:51:55 batch_cost: 1.7433 data_cost: 0.0030 ips: 36.7130 images/s [10/18 09:08:52] ppdet.engine INFO: Epoch: [194] [ 0/229] learning_rate: 0.111073 loss_vfl: 0.789562 loss_bbox: 0.297571 loss_dfl: 0.198472 loss: 1.266403 eta: 14:51:44 batch_cost: 2.6195 data_cost: 0.7377 ips: 24.4318 images/s [10/18 09:09:41] ppdet.engine INFO: Epoch: [194] [ 20/229] learning_rate: 0.110909 loss_vfl: 0.779981 loss_bbox: 0.288683 loss_dfl: 0.191368 loss: 1.263974 eta: 14:51:01 batch_cost: 2.2604 data_cost: 0.0039 ips: 28.3142 images/s [10/18 09:10:27] ppdet.engine INFO: Epoch: [194] [ 40/229] learning_rate: 0.110745 loss_vfl: 0.780692 loss_bbox: 0.293008 loss_dfl: 0.191597 loss: 1.263023 eta: 14:50:16 batch_cost: 2.1121 data_cost: 0.0017 ips: 30.3021 images/s [10/18 09:11:14] ppdet.engine INFO: Epoch: [194] [ 60/229] learning_rate: 0.110582 loss_vfl: 0.793441 loss_bbox: 0.311164 loss_dfl: 0.197471 loss: 1.310519 eta: 14:49:31 batch_cost: 2.1088 data_cost: 0.0047 ips: 30.3494 images/s [10/18 09:12:02] ppdet.engine INFO: Epoch: [194] [ 80/229] learning_rate: 0.110418 loss_vfl: 0.781334 loss_bbox: 0.311451 loss_dfl: 0.190437 loss: 1.300251 eta: 14:48:47 batch_cost: 2.2235 data_cost: 0.0042 ips: 28.7841 images/s [10/18 09:12:49] ppdet.engine INFO: Epoch: [194] [100/229] learning_rate: 0.110255 loss_vfl: 0.809654 loss_bbox: 0.301161 loss_dfl: 0.188269 loss: 1.296395 eta: 14:48:02 batch_cost: 2.1825 data_cost: 0.0037 ips: 29.3241 images/s [10/18 09:13:36] ppdet.engine INFO: Epoch: [194] [120/229] learning_rate: 0.110091 loss_vfl: 0.801035 loss_bbox: 0.293330 loss_dfl: 0.190505 loss: 1.259950 eta: 14:47:18 batch_cost: 2.1792 data_cost: 0.0029 ips: 29.3689 images/s [10/18 09:14:23] ppdet.engine INFO: Epoch: [194] [140/229] learning_rate: 0.109928 loss_vfl: 0.799230 loss_bbox: 0.307812 loss_dfl: 0.197744 loss: 1.285977 eta: 14:46:34 batch_cost: 2.1960 data_cost: 0.0056 ips: 29.1443 images/s [10/18 09:15:10] ppdet.engine INFO: Epoch: [194] [160/229] learning_rate: 0.109765 loss_vfl: 0.781040 loss_bbox: 0.299076 loss_dfl: 0.190294 loss: 1.262173 eta: 14:45:49 batch_cost: 2.1744 data_cost: 0.0030 ips: 29.4336 images/s [10/18 09:15:57] ppdet.engine INFO: Epoch: [194] [180/229] learning_rate: 0.109601 loss_vfl: 0.807927 loss_bbox: 0.301498 loss_dfl: 0.192284 loss: 1.298884 eta: 14:45:05 batch_cost: 2.1818 data_cost: 0.0033 ips: 29.3335 images/s [10/18 09:16:42] ppdet.engine INFO: Epoch: [194] [200/229] learning_rate: 0.109438 loss_vfl: 0.783807 loss_bbox: 0.286700 loss_dfl: 0.183809 loss: 1.253022 eta: 14:44:20 batch_cost: 2.1106 data_cost: 0.0038 ips: 30.3225 images/s [10/18 09:17:20] ppdet.engine INFO: Epoch: [194] [220/229] learning_rate: 0.109275 loss_vfl: 0.802317 loss_bbox: 0.293163 loss_dfl: 0.192199 loss: 1.288849 eta: 14:43:31 batch_cost: 1.7108 data_cost: 0.0032 ips: 37.4096 images/s [10/18 09:18:04] ppdet.engine INFO: Epoch: [195] [ 0/229] learning_rate: 0.109202 loss_vfl: 0.789643 loss_bbox: 0.293163 loss_dfl: 0.195066 loss: 1.275028 eta: 14:43:21 batch_cost: 2.6994 data_cost: 0.7834 ips: 23.7088 images/s [10/18 09:18:52] ppdet.engine INFO: Epoch: [195] [ 20/229] learning_rate: 0.109039 loss_vfl: 0.780450 loss_bbox: 0.274762 loss_dfl: 0.186890 loss: 1.257298 eta: 14:42:37 batch_cost: 2.1692 data_cost: 0.0034 ips: 29.5037 images/s [10/18 09:19:39] ppdet.engine INFO: Epoch: [195] [ 40/229] learning_rate: 0.108876 loss_vfl: 0.795561 loss_bbox: 0.307924 loss_dfl: 0.190793 loss: 1.273153 eta: 14:41:52 batch_cost: 2.1679 data_cost: 0.0031 ips: 29.5213 images/s [10/18 09:20:26] ppdet.engine INFO: Epoch: [195] [ 60/229] learning_rate: 0.108713 loss_vfl: 0.800483 loss_bbox: 0.288731 loss_dfl: 0.188105 loss: 1.284107 eta: 14:41:08 batch_cost: 2.1860 data_cost: 0.0036 ips: 29.2769 images/s [10/18 09:21:13] ppdet.engine INFO: Epoch: [195] [ 80/229] learning_rate: 0.108551 loss_vfl: 0.772908 loss_bbox: 0.282729 loss_dfl: 0.188336 loss: 1.264704 eta: 14:40:23 batch_cost: 2.1673 data_cost: 0.0025 ips: 29.5299 images/s [10/18 09:22:00] ppdet.engine INFO: Epoch: [195] [100/229] learning_rate: 0.108388 loss_vfl: 0.797305 loss_bbox: 0.303131 loss_dfl: 0.195520 loss: 1.293129 eta: 14:39:39 batch_cost: 2.1556 data_cost: 0.0043 ips: 29.6905 images/s [10/18 09:22:46] ppdet.engine INFO: Epoch: [195] [120/229] learning_rate: 0.108225 loss_vfl: 0.783970 loss_bbox: 0.291045 loss_dfl: 0.181593 loss: 1.269348 eta: 14:38:54 batch_cost: 2.1105 data_cost: 0.0036 ips: 30.3253 images/s [10/18 09:23:34] ppdet.engine INFO: Epoch: [195] [140/229] learning_rate: 0.108063 loss_vfl: 0.784577 loss_bbox: 0.307306 loss_dfl: 0.201029 loss: 1.301144 eta: 14:38:10 batch_cost: 2.2296 data_cost: 0.0051 ips: 28.7053 images/s [10/18 09:24:21] ppdet.engine INFO: Epoch: [195] [160/229] learning_rate: 0.107901 loss_vfl: 0.797861 loss_bbox: 0.287102 loss_dfl: 0.185618 loss: 1.282108 eta: 14:37:26 batch_cost: 2.1919 data_cost: 0.0057 ips: 29.1986 images/s [10/18 09:25:08] ppdet.engine INFO: Epoch: [195] [180/229] learning_rate: 0.107738 loss_vfl: 0.770208 loss_bbox: 0.290165 loss_dfl: 0.184646 loss: 1.260270 eta: 14:36:41 batch_cost: 2.1475 data_cost: 0.0036 ips: 29.8027 images/s [10/18 09:25:55] ppdet.engine INFO: Epoch: [195] [200/229] learning_rate: 0.107576 loss_vfl: 0.787190 loss_bbox: 0.288460 loss_dfl: 0.188114 loss: 1.260281 eta: 14:35:57 batch_cost: 2.1990 data_cost: 0.0030 ips: 29.1040 images/s [10/18 09:26:34] ppdet.engine INFO: Epoch: [195] [220/229] learning_rate: 0.107414 loss_vfl: 0.797317 loss_bbox: 0.278408 loss_dfl: 0.182920 loss: 1.251930 eta: 14:35:08 batch_cost: 1.7700 data_cost: 0.0022 ips: 36.1580 images/s [10/18 09:27:16] ppdet.engine INFO: Epoch: [196] [ 0/229] learning_rate: 0.107341 loss_vfl: 0.780600 loss_bbox: 0.298295 loss_dfl: 0.203387 loss: 1.297200 eta: 14:34:57 batch_cost: 2.5723 data_cost: 0.7354 ips: 24.8804 images/s [10/18 09:28:04] ppdet.engine INFO: Epoch: [196] [ 20/229] learning_rate: 0.107179 loss_vfl: 0.786793 loss_bbox: 0.302124 loss_dfl: 0.194660 loss: 1.298190 eta: 14:34:13 batch_cost: 2.2150 data_cost: 0.0055 ips: 28.8940 images/s [10/18 09:28:51] ppdet.engine INFO: Epoch: [196] [ 40/229] learning_rate: 0.107017 loss_vfl: 0.783969 loss_bbox: 0.304862 loss_dfl: 0.195871 loss: 1.297575 eta: 14:33:28 batch_cost: 2.1633 data_cost: 0.0022 ips: 29.5846 images/s [10/18 09:29:39] ppdet.engine INFO: Epoch: [196] [ 60/229] learning_rate: 0.106855 loss_vfl: 0.793936 loss_bbox: 0.285711 loss_dfl: 0.189921 loss: 1.290677 eta: 14:32:44 batch_cost: 2.2203 data_cost: 0.0049 ips: 28.8244 images/s [10/18 09:30:25] ppdet.engine INFO: Epoch: [196] [ 80/229] learning_rate: 0.106693 loss_vfl: 0.790678 loss_bbox: 0.305656 loss_dfl: 0.194728 loss: 1.285221 eta: 14:31:59 batch_cost: 2.0473 data_cost: 0.0031 ips: 31.2603 images/s [10/18 09:31:12] ppdet.engine INFO: Epoch: [196] [100/229] learning_rate: 0.106531 loss_vfl: 0.782657 loss_bbox: 0.292091 loss_dfl: 0.191424 loss: 1.261626 eta: 14:31:14 batch_cost: 2.1868 data_cost: 0.0037 ips: 29.2659 images/s [10/18 09:32:00] ppdet.engine INFO: Epoch: [196] [120/229] learning_rate: 0.106370 loss_vfl: 0.787979 loss_bbox: 0.304638 loss_dfl: 0.193197 loss: 1.290753 eta: 14:30:30 batch_cost: 2.2127 data_cost: 0.0036 ips: 28.9236 images/s [10/18 09:32:46] ppdet.engine INFO: Epoch: [196] [140/229] learning_rate: 0.106208 loss_vfl: 0.800264 loss_bbox: 0.287591 loss_dfl: 0.183034 loss: 1.273104 eta: 14:29:45 batch_cost: 2.1084 data_cost: 0.0108 ips: 30.3547 images/s [10/18 09:33:33] ppdet.engine INFO: Epoch: [196] [160/229] learning_rate: 0.106046 loss_vfl: 0.783817 loss_bbox: 0.297013 loss_dfl: 0.193796 loss: 1.275707 eta: 14:29:01 batch_cost: 2.1764 data_cost: 0.0037 ips: 29.4064 images/s [10/18 09:34:21] ppdet.engine INFO: Epoch: [196] [180/229] learning_rate: 0.105885 loss_vfl: 0.800546 loss_bbox: 0.297254 loss_dfl: 0.196314 loss: 1.285283 eta: 14:28:17 batch_cost: 2.2159 data_cost: 0.0030 ips: 28.8822 images/s [10/18 09:35:06] ppdet.engine INFO: Epoch: [196] [200/229] learning_rate: 0.105724 loss_vfl: 0.789836 loss_bbox: 0.277411 loss_dfl: 0.180916 loss: 1.254743 eta: 14:27:32 batch_cost: 2.1350 data_cost: 0.0032 ips: 29.9760 images/s [10/18 09:35:44] ppdet.engine INFO: Epoch: [196] [220/229] learning_rate: 0.105562 loss_vfl: 0.765952 loss_bbox: 0.282802 loss_dfl: 0.185337 loss: 1.272030 eta: 14:26:43 batch_cost: 1.7444 data_cost: 0.0018 ips: 36.6883 images/s [10/18 09:36:28] ppdet.engine INFO: Epoch: [197] [ 0/229] learning_rate: 0.105490 loss_vfl: 0.796448 loss_bbox: 0.297373 loss_dfl: 0.192162 loss: 1.281771 eta: 14:26:34 batch_cost: 2.7661 data_cost: 0.9765 ips: 23.1369 images/s [10/18 09:37:15] ppdet.engine INFO: Epoch: [197] [ 20/229] learning_rate: 0.105329 loss_vfl: 0.787476 loss_bbox: 0.301712 loss_dfl: 0.189264 loss: 1.267758 eta: 14:25:49 batch_cost: 2.2009 data_cost: 0.0041 ips: 29.0793 images/s [10/18 09:38:04] ppdet.engine INFO: Epoch: [197] [ 40/229] learning_rate: 0.105168 loss_vfl: 0.797391 loss_bbox: 0.302541 loss_dfl: 0.193289 loss: 1.269208 eta: 14:25:06 batch_cost: 2.2410 data_cost: 0.0062 ips: 28.5593 images/s [10/18 09:38:51] ppdet.engine INFO: Epoch: [197] [ 60/229] learning_rate: 0.105007 loss_vfl: 0.792824 loss_bbox: 0.303813 loss_dfl: 0.187099 loss: 1.301517 eta: 14:24:21 batch_cost: 2.1804 data_cost: 0.0034 ips: 29.3526 images/s [10/18 09:39:37] ppdet.engine INFO: Epoch: [197] [ 80/229] learning_rate: 0.104846 loss_vfl: 0.784030 loss_bbox: 0.284761 loss_dfl: 0.186208 loss: 1.254587 eta: 14:23:37 batch_cost: 2.1698 data_cost: 0.0060 ips: 29.4962 images/s [10/18 09:40:26] ppdet.engine INFO: Epoch: [197] [100/229] learning_rate: 0.104685 loss_vfl: 0.776646 loss_bbox: 0.288998 loss_dfl: 0.190284 loss: 1.244590 eta: 14:22:53 batch_cost: 2.2584 data_cost: 0.0033 ips: 28.3380 images/s [10/18 09:41:12] ppdet.engine INFO: Epoch: [197] [120/229] learning_rate: 0.104524 loss_vfl: 0.785551 loss_bbox: 0.303434 loss_dfl: 0.196267 loss: 1.308309 eta: 14:22:09 batch_cost: 2.1806 data_cost: 0.0034 ips: 29.3498 images/s [10/18 09:42:00] ppdet.engine INFO: Epoch: [197] [140/229] learning_rate: 0.104363 loss_vfl: 0.795554 loss_bbox: 0.286687 loss_dfl: 0.188047 loss: 1.277783 eta: 14:21:25 batch_cost: 2.1789 data_cost: 0.0021 ips: 29.3727 images/s [10/18 09:42:46] ppdet.engine INFO: Epoch: [197] [160/229] learning_rate: 0.104203 loss_vfl: 0.787550 loss_bbox: 0.293641 loss_dfl: 0.188994 loss: 1.268780 eta: 14:20:39 batch_cost: 2.0640 data_cost: 0.0059 ips: 31.0074 images/s [10/18 09:43:33] ppdet.engine INFO: Epoch: [197] [180/229] learning_rate: 0.104042 loss_vfl: 0.786987 loss_bbox: 0.322603 loss_dfl: 0.200712 loss: 1.300927 eta: 14:19:55 batch_cost: 2.1547 data_cost: 0.0050 ips: 29.7023 images/s [10/18 09:44:19] ppdet.engine INFO: Epoch: [197] [200/229] learning_rate: 0.103882 loss_vfl: 0.780904 loss_bbox: 0.290555 loss_dfl: 0.182546 loss: 1.258159 eta: 14:19:10 batch_cost: 2.1925 data_cost: 0.0037 ips: 29.1903 images/s [10/18 09:44:58] ppdet.engine INFO: Epoch: [197] [220/229] learning_rate: 0.103721 loss_vfl: 0.781891 loss_bbox: 0.278298 loss_dfl: 0.179047 loss: 1.237395 eta: 14:18:22 batch_cost: 1.7695 data_cost: 0.0025 ips: 36.1690 images/s [10/18 09:45:41] ppdet.engine INFO: Epoch: [198] [ 0/229] learning_rate: 0.103649 loss_vfl: 0.787236 loss_bbox: 0.303464 loss_dfl: 0.182857 loss: 1.276048 eta: 14:18:11 batch_cost: 2.6695 data_cost: 1.0183 ips: 23.9742 images/s [10/18 09:46:29] ppdet.engine INFO: Epoch: [198] [ 20/229] learning_rate: 0.103489 loss_vfl: 0.773556 loss_bbox: 0.273559 loss_dfl: 0.183908 loss: 1.239520 eta: 14:17:28 batch_cost: 2.2619 data_cost: 0.0031 ips: 28.2953 images/s [10/18 09:47:15] ppdet.engine INFO: Epoch: [198] [ 40/229] learning_rate: 0.103329 loss_vfl: 0.782321 loss_bbox: 0.321523 loss_dfl: 0.205045 loss: 1.308145 eta: 14:16:43 batch_cost: 2.1460 data_cost: 0.0037 ips: 29.8224 images/s [10/18 09:48:02] ppdet.engine INFO: Epoch: [198] [ 60/229] learning_rate: 0.103169 loss_vfl: 0.797866 loss_bbox: 0.298885 loss_dfl: 0.191417 loss: 1.279253 eta: 14:15:58 batch_cost: 2.1600 data_cost: 0.0024 ips: 29.6302 images/s [10/18 09:48:50] ppdet.engine INFO: Epoch: [198] [ 80/229] learning_rate: 0.103009 loss_vfl: 0.768278 loss_bbox: 0.293978 loss_dfl: 0.197151 loss: 1.266033 eta: 14:15:14 batch_cost: 2.1766 data_cost: 0.0062 ips: 29.4042 images/s [10/18 09:49:38] ppdet.engine INFO: Epoch: [198] [100/229] learning_rate: 0.102849 loss_vfl: 0.779266 loss_bbox: 0.289275 loss_dfl: 0.191256 loss: 1.277979 eta: 14:14:30 batch_cost: 2.1739 data_cost: 0.0022 ips: 29.4398 images/s [10/18 09:50:24] ppdet.engine INFO: Epoch: [198] [120/229] learning_rate: 0.102689 loss_vfl: 0.790029 loss_bbox: 0.271832 loss_dfl: 0.182308 loss: 1.263068 eta: 14:13:45 batch_cost: 2.1231 data_cost: 0.0034 ips: 30.1451 images/s [10/18 09:51:11] ppdet.engine INFO: Epoch: [198] [140/229] learning_rate: 0.102529 loss_vfl: 0.795734 loss_bbox: 0.299776 loss_dfl: 0.194230 loss: 1.286452 eta: 14:13:00 batch_cost: 2.1484 data_cost: 0.0025 ips: 29.7898 images/s [10/18 09:51:58] ppdet.engine INFO: Epoch: [198] [160/229] learning_rate: 0.102370 loss_vfl: 0.784237 loss_bbox: 0.295854 loss_dfl: 0.186952 loss: 1.258526 eta: 14:12:16 batch_cost: 2.1998 data_cost: 0.0037 ips: 29.0933 images/s [10/18 09:52:45] ppdet.engine INFO: Epoch: [198] [180/229] learning_rate: 0.102210 loss_vfl: 0.781452 loss_bbox: 0.292352 loss_dfl: 0.199304 loss: 1.276396 eta: 14:11:32 batch_cost: 2.1888 data_cost: 0.0048 ips: 29.2401 images/s [10/18 09:53:32] ppdet.engine INFO: Epoch: [198] [200/229] learning_rate: 0.102050 loss_vfl: 0.793065 loss_bbox: 0.281621 loss_dfl: 0.185650 loss: 1.257427 eta: 14:10:47 batch_cost: 2.1733 data_cost: 0.0038 ips: 29.4489 images/s [10/18 09:54:12] ppdet.engine INFO: Epoch: [198] [220/229] learning_rate: 0.101891 loss_vfl: 0.800235 loss_bbox: 0.293680 loss_dfl: 0.192511 loss: 1.261099 eta: 14:10:00 batch_cost: 1.8841 data_cost: 0.0028 ips: 33.9689 images/s [10/18 09:54:54] ppdet.engine INFO: Epoch: [199] [ 0/229] learning_rate: 0.101819 loss_vfl: 0.793401 loss_bbox: 0.291811 loss_dfl: 0.194046 loss: 1.241361 eta: 14:09:49 batch_cost: 2.7180 data_cost: 0.8571 ips: 23.5464 images/s [10/18 09:55:47] ppdet.engine INFO: Epoch: [199] [ 20/229] learning_rate: 0.101660 loss_vfl: 0.781662 loss_bbox: 0.290130 loss_dfl: 0.183271 loss: 1.268142 eta: 14:09:07 batch_cost: 2.4448 data_cost: 0.0080 ips: 26.1775 images/s [10/18 09:56:40] ppdet.engine INFO: Epoch: [199] [ 40/229] learning_rate: 0.101501 loss_vfl: 0.788957 loss_bbox: 0.295221 loss_dfl: 0.190043 loss: 1.266105 eta: 14:08:25 batch_cost: 2.3886 data_cost: 0.0028 ips: 26.7944 images/s [10/18 09:57:28] ppdet.engine INFO: Epoch: [199] [ 60/229] learning_rate: 0.101342 loss_vfl: 0.770067 loss_bbox: 0.310141 loss_dfl: 0.197467 loss: 1.279346 eta: 14:07:41 batch_cost: 2.2371 data_cost: 0.0044 ips: 28.6078 images/s [10/18 09:58:16] ppdet.engine INFO: Epoch: [199] [ 80/229] learning_rate: 0.101182 loss_vfl: 0.794825 loss_bbox: 0.289703 loss_dfl: 0.186012 loss: 1.264718 eta: 14:06:57 batch_cost: 2.2129 data_cost: 0.0047 ips: 28.9209 images/s [10/18 09:59:04] ppdet.engine INFO: Epoch: [199] [100/229] learning_rate: 0.101023 loss_vfl: 0.780692 loss_bbox: 0.303303 loss_dfl: 0.191224 loss: 1.271382 eta: 14:06:13 batch_cost: 2.1978 data_cost: 0.0111 ips: 29.1194 images/s [10/18 09:59:52] ppdet.engine INFO: Epoch: [199] [120/229] learning_rate: 0.100865 loss_vfl: 0.790604 loss_bbox: 0.288449 loss_dfl: 0.183986 loss: 1.273784 eta: 14:05:29 batch_cost: 2.1934 data_cost: 0.0046 ips: 29.1784 images/s [10/18 10:00:39] ppdet.engine INFO: Epoch: [199] [140/229] learning_rate: 0.100706 loss_vfl: 0.781709 loss_bbox: 0.271859 loss_dfl: 0.182681 loss: 1.240501 eta: 14:04:44 batch_cost: 2.1315 data_cost: 0.0025 ips: 30.0261 images/s [10/18 10:01:26] ppdet.engine INFO: Epoch: [199] [160/229] learning_rate: 0.100547 loss_vfl: 0.790283 loss_bbox: 0.282170 loss_dfl: 0.182131 loss: 1.257244 eta: 14:04:00 batch_cost: 2.1942 data_cost: 0.0071 ips: 29.1681 images/s [10/18 10:02:11] ppdet.engine INFO: Epoch: [199] [180/229] learning_rate: 0.100388 loss_vfl: 0.787631 loss_bbox: 0.277406 loss_dfl: 0.187519 loss: 1.261472 eta: 14:03:15 batch_cost: 2.1129 data_cost: 0.0028 ips: 30.2899 images/s [10/18 10:02:58] ppdet.engine INFO: Epoch: [199] [200/229] learning_rate: 0.100230 loss_vfl: 0.793307 loss_bbox: 0.289392 loss_dfl: 0.191917 loss: 1.282767 eta: 14:02:30 batch_cost: 2.1786 data_cost: 0.0046 ips: 29.3768 images/s [10/18 10:03:36] ppdet.engine INFO: Epoch: [199] [220/229] learning_rate: 0.100071 loss_vfl: 0.779696 loss_bbox: 0.308667 loss_dfl: 0.193902 loss: 1.294318 eta: 14:01:42 batch_cost: 1.7719 data_cost: 0.0039 ips: 36.1194 images/s [10/18 10:03:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 10:03:52] ppdet.engine INFO: Eval iter: 0 [10/18 10:04:31] ppdet.engine INFO: Eval iter: 100 [10/18 10:04:45] ppdet.engine INFO: Eval iter: 200 [10/18 10:05:00] ppdet.engine INFO: Eval iter: 300 [10/18 10:05:15] ppdet.engine INFO: Eval iter: 400 [10/18 10:05:30] ppdet.engine INFO: Eval iter: 500 [10/18 10:05:45] ppdet.engine INFO: Eval iter: 600 [10/18 10:05:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.96s) creating index... index created! [10/18 10:05:58] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.86s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=62.43s). Accumulating evaluation results... DONE (t=11.26s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.454 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.323 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096 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 ] = 0.527 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 ] = 0.426 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 ] = 0.161 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 ] = 0.725 [10/18 10:07:18] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.104423898956966 [10/18 10:07:18] ppdet.engine INFO: Best test bbox ap is 0.307. [10/18 10:07:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 10:07:19] ppdet.engine INFO: Epoch: [200] [ 0/229] learning_rate: 0.100000 loss_vfl: 0.773349 loss_bbox: 0.301626 loss_dfl: 0.194261 loss: 1.284418 eta: 14:01:17 batch_cost: 1.2809 data_cost: 0.0011 ips: 49.9641 images/s [10/18 10:08:05] ppdet.engine INFO: Epoch: [200] [ 20/229] learning_rate: 0.099842 loss_vfl: 0.789377 loss_bbox: 0.320396 loss_dfl: 0.200417 loss: 1.310545 eta: 14:00:32 batch_cost: 2.1344 data_cost: 0.0035 ips: 29.9844 images/s [10/18 10:08:53] ppdet.engine INFO: Epoch: [200] [ 40/229] learning_rate: 0.099683 loss_vfl: 0.773471 loss_bbox: 0.309830 loss_dfl: 0.203431 loss: 1.295230 eta: 13:59:48 batch_cost: 2.1739 data_cost: 0.0048 ips: 29.4403 images/s [10/18 10:09:40] ppdet.engine INFO: Epoch: [200] [ 60/229] learning_rate: 0.099525 loss_vfl: 0.780585 loss_bbox: 0.305048 loss_dfl: 0.188388 loss: 1.262358 eta: 13:59:04 batch_cost: 2.1929 data_cost: 0.0024 ips: 29.1852 images/s [10/18 10:10:27] ppdet.engine INFO: Epoch: [200] [ 80/229] learning_rate: 0.099367 loss_vfl: 0.781204 loss_bbox: 0.291181 loss_dfl: 0.189398 loss: 1.265891 eta: 13:58:19 batch_cost: 2.1914 data_cost: 0.0036 ips: 29.2053 images/s [10/18 10:11:14] ppdet.engine INFO: Epoch: [200] [100/229] learning_rate: 0.099209 loss_vfl: 0.784313 loss_bbox: 0.293851 loss_dfl: 0.190313 loss: 1.267894 eta: 13:57:35 batch_cost: 2.1481 data_cost: 0.0046 ips: 29.7935 images/s [10/18 10:12:00] ppdet.engine INFO: Epoch: [200] [120/229] learning_rate: 0.099051 loss_vfl: 0.782727 loss_bbox: 0.270175 loss_dfl: 0.185198 loss: 1.251291 eta: 13:56:50 batch_cost: 2.1225 data_cost: 0.0022 ips: 30.1526 images/s [10/18 10:12:48] ppdet.engine INFO: Epoch: [200] [140/229] learning_rate: 0.098893 loss_vfl: 0.781833 loss_bbox: 0.302256 loss_dfl: 0.198644 loss: 1.295963 eta: 13:56:05 batch_cost: 2.1677 data_cost: 0.0051 ips: 29.5240 images/s [10/18 10:13:34] ppdet.engine INFO: Epoch: [200] [160/229] learning_rate: 0.098735 loss_vfl: 0.767783 loss_bbox: 0.299599 loss_dfl: 0.186136 loss: 1.271627 eta: 13:55:21 batch_cost: 2.1549 data_cost: 0.0037 ips: 29.6994 images/s [10/18 10:14:21] ppdet.engine INFO: Epoch: [200] [180/229] learning_rate: 0.098578 loss_vfl: 0.774996 loss_bbox: 0.305668 loss_dfl: 0.194924 loss: 1.280683 eta: 13:54:36 batch_cost: 2.1688 data_cost: 0.0024 ips: 29.5091 images/s [10/18 10:15:07] ppdet.engine INFO: Epoch: [200] [200/229] learning_rate: 0.098420 loss_vfl: 0.784098 loss_bbox: 0.292332 loss_dfl: 0.194423 loss: 1.279723 eta: 13:53:51 batch_cost: 2.0767 data_cost: 0.0050 ips: 30.8177 images/s [10/18 10:15:45] ppdet.engine INFO: Epoch: [200] [220/229] learning_rate: 0.098263 loss_vfl: 0.799765 loss_bbox: 0.284032 loss_dfl: 0.193863 loss: 1.294371 eta: 13:53:02 batch_cost: 1.7526 data_cost: 0.0043 ips: 36.5173 images/s [10/18 10:16:29] ppdet.engine INFO: Epoch: [201] [ 0/229] learning_rate: 0.098192 loss_vfl: 0.797444 loss_bbox: 0.304433 loss_dfl: 0.196965 loss: 1.289590 eta: 13:52:52 batch_cost: 2.7118 data_cost: 0.6698 ips: 23.6006 images/s [10/18 10:17:16] ppdet.engine INFO: Epoch: [201] [ 20/229] learning_rate: 0.098034 loss_vfl: 0.787064 loss_bbox: 0.295423 loss_dfl: 0.188470 loss: 1.270580 eta: 13:52:08 batch_cost: 2.1845 data_cost: 0.0042 ips: 29.2970 images/s [10/18 10:18:04] ppdet.engine INFO: Epoch: [201] [ 40/229] learning_rate: 0.097877 loss_vfl: 0.780908 loss_bbox: 0.300711 loss_dfl: 0.194292 loss: 1.291464 eta: 13:51:24 batch_cost: 2.2319 data_cost: 0.0043 ips: 28.6752 images/s [10/18 10:18:52] ppdet.engine INFO: Epoch: [201] [ 60/229] learning_rate: 0.097720 loss_vfl: 0.775037 loss_bbox: 0.301821 loss_dfl: 0.190926 loss: 1.261101 eta: 13:50:40 batch_cost: 2.2151 data_cost: 0.0057 ips: 28.8927 images/s [10/18 10:19:40] ppdet.engine INFO: Epoch: [201] [ 80/229] learning_rate: 0.097563 loss_vfl: 0.780457 loss_bbox: 0.297871 loss_dfl: 0.195575 loss: 1.285367 eta: 13:49:56 batch_cost: 2.1908 data_cost: 0.0037 ips: 29.2133 images/s [10/18 10:20:28] ppdet.engine INFO: Epoch: [201] [100/229] learning_rate: 0.097406 loss_vfl: 0.799957 loss_bbox: 0.301198 loss_dfl: 0.185319 loss: 1.298108 eta: 13:49:12 batch_cost: 2.2247 data_cost: 0.0035 ips: 28.7683 images/s [10/18 10:21:15] ppdet.engine INFO: Epoch: [201] [120/229] learning_rate: 0.097249 loss_vfl: 0.765479 loss_bbox: 0.289419 loss_dfl: 0.185112 loss: 1.250882 eta: 13:48:28 batch_cost: 2.1881 data_cost: 0.0040 ips: 29.2493 images/s [10/18 10:22:02] ppdet.engine INFO: Epoch: [201] [140/229] learning_rate: 0.097092 loss_vfl: 0.792164 loss_bbox: 0.277078 loss_dfl: 0.187505 loss: 1.257349 eta: 13:47:43 batch_cost: 2.1228 data_cost: 0.0035 ips: 30.1494 images/s [10/18 10:22:49] ppdet.engine INFO: Epoch: [201] [160/229] learning_rate: 0.096935 loss_vfl: 0.790609 loss_bbox: 0.272053 loss_dfl: 0.188971 loss: 1.258584 eta: 13:46:59 batch_cost: 2.2004 data_cost: 0.0053 ips: 29.0850 images/s [10/18 10:23:36] ppdet.engine INFO: Epoch: [201] [180/229] learning_rate: 0.096778 loss_vfl: 0.801720 loss_bbox: 0.294112 loss_dfl: 0.197083 loss: 1.283646 eta: 13:46:14 batch_cost: 2.1923 data_cost: 0.0020 ips: 29.1933 images/s [10/18 10:24:23] ppdet.engine INFO: Epoch: [201] [200/229] learning_rate: 0.096622 loss_vfl: 0.785294 loss_bbox: 0.308629 loss_dfl: 0.194067 loss: 1.286727 eta: 13:45:30 batch_cost: 2.1409 data_cost: 0.0045 ips: 29.8941 images/s [10/18 10:25:01] ppdet.engine INFO: Epoch: [201] [220/229] learning_rate: 0.096465 loss_vfl: 0.785157 loss_bbox: 0.284674 loss_dfl: 0.187136 loss: 1.279361 eta: 13:44:42 batch_cost: 1.8051 data_cost: 0.0043 ips: 35.4541 images/s [10/18 10:25:46] ppdet.engine INFO: Epoch: [202] [ 0/229] learning_rate: 0.096395 loss_vfl: 0.780896 loss_bbox: 0.293183 loss_dfl: 0.187207 loss: 1.294187 eta: 13:44:31 batch_cost: 2.7554 data_cost: 0.9739 ips: 23.2272 images/s [10/18 10:26:34] ppdet.engine INFO: Epoch: [202] [ 20/229] learning_rate: 0.096238 loss_vfl: 0.780179 loss_bbox: 0.297582 loss_dfl: 0.193726 loss: 1.262339 eta: 13:43:47 batch_cost: 2.1921 data_cost: 0.0050 ips: 29.1959 images/s [10/18 10:27:20] ppdet.engine INFO: Epoch: [202] [ 40/229] learning_rate: 0.096082 loss_vfl: 0.782095 loss_bbox: 0.281824 loss_dfl: 0.185466 loss: 1.287820 eta: 13:43:03 batch_cost: 2.1889 data_cost: 0.0047 ips: 29.2387 images/s [10/18 10:28:08] ppdet.engine INFO: Epoch: [202] [ 60/229] learning_rate: 0.095926 loss_vfl: 0.771485 loss_bbox: 0.303040 loss_dfl: 0.189070 loss: 1.267742 eta: 13:42:19 batch_cost: 2.2058 data_cost: 0.0053 ips: 29.0149 images/s [10/18 10:28:55] ppdet.engine INFO: Epoch: [202] [ 80/229] learning_rate: 0.095769 loss_vfl: 0.796681 loss_bbox: 0.284060 loss_dfl: 0.185625 loss: 1.259177 eta: 13:41:35 batch_cost: 2.2321 data_cost: 0.0049 ips: 28.6730 images/s [10/18 10:29:41] ppdet.engine INFO: Epoch: [202] [100/229] learning_rate: 0.095613 loss_vfl: 0.793706 loss_bbox: 0.297428 loss_dfl: 0.191467 loss: 1.286841 eta: 13:40:50 batch_cost: 2.1548 data_cost: 0.0026 ips: 29.7010 images/s [10/18 10:30:29] ppdet.engine INFO: Epoch: [202] [120/229] learning_rate: 0.095457 loss_vfl: 0.793446 loss_bbox: 0.287013 loss_dfl: 0.185219 loss: 1.263878 eta: 13:40:06 batch_cost: 2.1692 data_cost: 0.0039 ips: 29.5037 images/s [10/18 10:31:17] ppdet.engine INFO: Epoch: [202] [140/229] learning_rate: 0.095302 loss_vfl: 0.780419 loss_bbox: 0.316693 loss_dfl: 0.203484 loss: 1.311833 eta: 13:39:21 batch_cost: 2.1680 data_cost: 0.0019 ips: 29.5205 images/s [10/18 10:32:03] ppdet.engine INFO: Epoch: [202] [160/229] learning_rate: 0.095146 loss_vfl: 0.787240 loss_bbox: 0.311160 loss_dfl: 0.197139 loss: 1.281643 eta: 13:38:37 batch_cost: 2.1441 data_cost: 0.0062 ips: 29.8499 images/s [10/18 10:32:50] ppdet.engine INFO: Epoch: [202] [180/229] learning_rate: 0.094990 loss_vfl: 0.786971 loss_bbox: 0.283182 loss_dfl: 0.189550 loss: 1.275850 eta: 13:37:52 batch_cost: 2.1929 data_cost: 0.0016 ips: 29.1857 images/s [10/18 10:33:36] ppdet.engine INFO: Epoch: [202] [200/229] learning_rate: 0.094834 loss_vfl: 0.783328 loss_bbox: 0.313241 loss_dfl: 0.196769 loss: 1.296873 eta: 13:37:08 batch_cost: 2.1264 data_cost: 0.0035 ips: 30.0974 images/s [10/18 10:34:15] ppdet.engine INFO: Epoch: [202] [220/229] learning_rate: 0.094679 loss_vfl: 0.769328 loss_bbox: 0.286163 loss_dfl: 0.187124 loss: 1.237216 eta: 13:36:19 batch_cost: 1.7799 data_cost: 0.0021 ips: 35.9575 images/s [10/18 10:34:59] ppdet.engine INFO: Epoch: [203] [ 0/229] learning_rate: 0.094609 loss_vfl: 0.779932 loss_bbox: 0.285528 loss_dfl: 0.186204 loss: 1.231834 eta: 13:36:09 batch_cost: 2.7468 data_cost: 0.9238 ips: 23.3001 images/s [10/18 10:35:46] ppdet.engine INFO: Epoch: [203] [ 20/229] learning_rate: 0.094453 loss_vfl: 0.780924 loss_bbox: 0.309642 loss_dfl: 0.194764 loss: 1.268021 eta: 13:35:24 batch_cost: 2.1105 data_cost: 0.0054 ips: 30.3249 images/s [10/18 10:36:33] ppdet.engine INFO: Epoch: [203] [ 40/229] learning_rate: 0.094298 loss_vfl: 0.769851 loss_bbox: 0.294617 loss_dfl: 0.192757 loss: 1.269192 eta: 13:34:39 batch_cost: 2.1305 data_cost: 0.0033 ips: 30.0402 images/s [10/18 10:37:20] ppdet.engine INFO: Epoch: [203] [ 60/229] learning_rate: 0.094143 loss_vfl: 0.791529 loss_bbox: 0.292617 loss_dfl: 0.194190 loss: 1.272118 eta: 13:33:55 batch_cost: 2.1887 data_cost: 0.0048 ips: 29.2416 images/s [10/18 10:38:07] ppdet.engine INFO: Epoch: [203] [ 80/229] learning_rate: 0.093988 loss_vfl: 0.777519 loss_bbox: 0.297585 loss_dfl: 0.183710 loss: 1.254889 eta: 13:33:11 batch_cost: 2.2261 data_cost: 0.0037 ips: 28.7505 images/s [10/18 10:38:54] ppdet.engine INFO: Epoch: [203] [100/229] learning_rate: 0.093833 loss_vfl: 0.786868 loss_bbox: 0.288272 loss_dfl: 0.190890 loss: 1.275993 eta: 13:32:26 batch_cost: 2.1424 data_cost: 0.0048 ips: 29.8731 images/s [10/18 10:39:41] ppdet.engine INFO: Epoch: [203] [120/229] learning_rate: 0.093678 loss_vfl: 0.777982 loss_bbox: 0.295809 loss_dfl: 0.189451 loss: 1.268036 eta: 13:31:42 batch_cost: 2.1969 data_cost: 0.0029 ips: 29.1316 images/s [10/18 10:40:29] ppdet.engine INFO: Epoch: [203] [140/229] learning_rate: 0.093523 loss_vfl: 0.791138 loss_bbox: 0.320369 loss_dfl: 0.205363 loss: 1.299280 eta: 13:30:58 batch_cost: 2.2287 data_cost: 0.0035 ips: 28.7157 images/s [10/18 10:41:16] ppdet.engine INFO: Epoch: [203] [160/229] learning_rate: 0.093368 loss_vfl: 0.790844 loss_bbox: 0.281453 loss_dfl: 0.188365 loss: 1.271952 eta: 13:30:14 batch_cost: 2.1895 data_cost: 0.0037 ips: 29.2307 images/s [10/18 10:42:04] ppdet.engine INFO: Epoch: [203] [180/229] learning_rate: 0.093213 loss_vfl: 0.805783 loss_bbox: 0.298297 loss_dfl: 0.193891 loss: 1.279300 eta: 13:29:29 batch_cost: 2.1519 data_cost: 0.0072 ips: 29.7418 images/s [10/18 10:42:50] ppdet.engine INFO: Epoch: [203] [200/229] learning_rate: 0.093059 loss_vfl: 0.782550 loss_bbox: 0.274536 loss_dfl: 0.180124 loss: 1.240431 eta: 13:28:45 batch_cost: 2.1734 data_cost: 0.0022 ips: 29.4472 images/s [10/18 10:43:29] ppdet.engine INFO: Epoch: [203] [220/229] learning_rate: 0.092904 loss_vfl: 0.774654 loss_bbox: 0.289897 loss_dfl: 0.191453 loss: 1.247662 eta: 13:27:57 batch_cost: 1.7589 data_cost: 0.0030 ips: 36.3863 images/s [10/18 10:44:13] ppdet.engine INFO: Epoch: [204] [ 0/229] learning_rate: 0.092835 loss_vfl: 0.780201 loss_bbox: 0.289897 loss_dfl: 0.187532 loss: 1.247989 eta: 13:27:46 batch_cost: 2.7493 data_cost: 1.2362 ips: 23.2787 images/s [10/18 10:45:00] ppdet.engine INFO: Epoch: [204] [ 20/229] learning_rate: 0.092680 loss_vfl: 0.774858 loss_bbox: 0.322049 loss_dfl: 0.205668 loss: 1.291390 eta: 13:27:01 batch_cost: 2.1529 data_cost: 0.0023 ips: 29.7273 images/s [10/18 10:45:47] ppdet.engine INFO: Epoch: [204] [ 40/229] learning_rate: 0.092526 loss_vfl: 0.789409 loss_bbox: 0.267592 loss_dfl: 0.181687 loss: 1.241116 eta: 13:26:17 batch_cost: 2.1718 data_cost: 0.0046 ips: 29.4681 images/s [10/18 10:46:33] ppdet.engine INFO: Epoch: [204] [ 60/229] learning_rate: 0.092372 loss_vfl: 0.785474 loss_bbox: 0.296177 loss_dfl: 0.195678 loss: 1.268279 eta: 13:25:32 batch_cost: 2.1322 data_cost: 0.0042 ips: 30.0158 images/s [10/18 10:47:20] ppdet.engine INFO: Epoch: [204] [ 80/229] learning_rate: 0.092218 loss_vfl: 0.794832 loss_bbox: 0.300503 loss_dfl: 0.189183 loss: 1.270529 eta: 13:24:47 batch_cost: 2.1155 data_cost: 0.0039 ips: 30.2524 images/s [10/18 10:48:06] ppdet.engine INFO: Epoch: [204] [100/229] learning_rate: 0.092064 loss_vfl: 0.780805 loss_bbox: 0.283619 loss_dfl: 0.184251 loss: 1.258536 eta: 13:24:02 batch_cost: 2.1253 data_cost: 0.0041 ips: 30.1136 images/s [10/18 10:48:54] ppdet.engine INFO: Epoch: [204] [120/229] learning_rate: 0.091910 loss_vfl: 0.791880 loss_bbox: 0.288469 loss_dfl: 0.190767 loss: 1.274402 eta: 13:23:18 batch_cost: 2.2017 data_cost: 0.0030 ips: 29.0683 images/s [10/18 10:49:40] ppdet.engine INFO: Epoch: [204] [140/229] learning_rate: 0.091756 loss_vfl: 0.784395 loss_bbox: 0.297664 loss_dfl: 0.187010 loss: 1.271386 eta: 13:22:34 batch_cost: 2.1655 data_cost: 0.0060 ips: 29.5539 images/s [10/18 10:50:28] ppdet.engine INFO: Epoch: [204] [160/229] learning_rate: 0.091602 loss_vfl: 0.785363 loss_bbox: 0.311237 loss_dfl: 0.193593 loss: 1.277884 eta: 13:21:49 batch_cost: 2.1634 data_cost: 0.0025 ips: 29.5830 images/s [10/18 10:51:15] ppdet.engine INFO: Epoch: [204] [180/229] learning_rate: 0.091448 loss_vfl: 0.772122 loss_bbox: 0.303721 loss_dfl: 0.202593 loss: 1.296980 eta: 13:21:05 batch_cost: 2.1818 data_cost: 0.0042 ips: 29.3336 images/s [10/18 10:52:01] ppdet.engine INFO: Epoch: [204] [200/229] learning_rate: 0.091295 loss_vfl: 0.794913 loss_bbox: 0.320643 loss_dfl: 0.201951 loss: 1.320260 eta: 13:20:20 batch_cost: 2.1280 data_cost: 0.0049 ips: 30.0758 images/s [10/18 10:52:39] ppdet.engine INFO: Epoch: [204] [220/229] learning_rate: 0.091141 loss_vfl: 0.779226 loss_bbox: 0.304313 loss_dfl: 0.189953 loss: 1.275069 eta: 13:19:32 batch_cost: 1.7762 data_cost: 0.0019 ips: 36.0321 images/s [10/18 10:53:24] ppdet.engine INFO: Epoch: [205] [ 0/229] learning_rate: 0.091072 loss_vfl: 0.778826 loss_bbox: 0.302515 loss_dfl: 0.188813 loss: 1.262417 eta: 13:19:21 batch_cost: 2.7414 data_cost: 0.8199 ips: 23.3455 images/s [10/18 10:54:12] ppdet.engine INFO: Epoch: [205] [ 20/229] learning_rate: 0.090919 loss_vfl: 0.790278 loss_bbox: 0.292206 loss_dfl: 0.198223 loss: 1.284936 eta: 13:18:37 batch_cost: 2.1800 data_cost: 0.0070 ips: 29.3585 images/s [10/18 10:55:01] ppdet.engine INFO: Epoch: [205] [ 40/229] learning_rate: 0.090766 loss_vfl: 0.798471 loss_bbox: 0.301773 loss_dfl: 0.196872 loss: 1.307025 eta: 13:17:53 batch_cost: 2.2215 data_cost: 0.0092 ips: 28.8090 images/s [10/18 10:55:49] ppdet.engine INFO: Epoch: [205] [ 60/229] learning_rate: 0.090612 loss_vfl: 0.789289 loss_bbox: 0.298356 loss_dfl: 0.194129 loss: 1.288595 eta: 13:17:09 batch_cost: 2.2403 data_cost: 0.0055 ips: 28.5670 images/s [10/18 10:56:37] ppdet.engine INFO: Epoch: [205] [ 80/229] learning_rate: 0.090459 loss_vfl: 0.778258 loss_bbox: 0.321547 loss_dfl: 0.203527 loss: 1.295698 eta: 13:16:25 batch_cost: 2.1660 data_cost: 0.0055 ips: 29.5478 images/s [10/18 10:57:25] ppdet.engine INFO: Epoch: [205] [100/229] learning_rate: 0.090306 loss_vfl: 0.788761 loss_bbox: 0.313648 loss_dfl: 0.202183 loss: 1.306085 eta: 13:15:41 batch_cost: 2.2154 data_cost: 0.0028 ips: 28.8884 images/s [10/18 10:58:12] ppdet.engine INFO: Epoch: [205] [120/229] learning_rate: 0.090153 loss_vfl: 0.785194 loss_bbox: 0.311509 loss_dfl: 0.198781 loss: 1.309627 eta: 13:14:56 batch_cost: 2.1480 data_cost: 0.0048 ips: 29.7954 images/s [10/18 10:58:59] ppdet.engine INFO: Epoch: [205] [140/229] learning_rate: 0.090001 loss_vfl: 0.788071 loss_bbox: 0.295013 loss_dfl: 0.195029 loss: 1.272857 eta: 13:14:12 batch_cost: 2.1576 data_cost: 0.0091 ips: 29.6623 images/s [10/18 10:59:46] ppdet.engine INFO: Epoch: [205] [160/229] learning_rate: 0.089848 loss_vfl: 0.782487 loss_bbox: 0.284879 loss_dfl: 0.190840 loss: 1.262143 eta: 13:13:27 batch_cost: 2.1547 data_cost: 0.0181 ips: 29.7026 images/s [10/18 11:00:33] ppdet.engine INFO: Epoch: [205] [180/229] learning_rate: 0.089695 loss_vfl: 0.778381 loss_bbox: 0.296651 loss_dfl: 0.185544 loss: 1.268546 eta: 13:12:43 batch_cost: 2.1656 data_cost: 0.0054 ips: 29.5526 images/s [10/18 11:01:20] ppdet.engine INFO: Epoch: [205] [200/229] learning_rate: 0.089543 loss_vfl: 0.780581 loss_bbox: 0.300574 loss_dfl: 0.192965 loss: 1.279452 eta: 13:11:59 batch_cost: 2.1977 data_cost: 0.0054 ips: 29.1210 images/s [10/18 11:01:59] ppdet.engine INFO: Epoch: [205] [220/229] learning_rate: 0.089390 loss_vfl: 0.800717 loss_bbox: 0.318191 loss_dfl: 0.196815 loss: 1.301804 eta: 13:11:10 batch_cost: 1.7460 data_cost: 0.0039 ips: 36.6545 images/s [10/18 11:02:41] ppdet.engine INFO: Epoch: [206] [ 0/229] learning_rate: 0.089322 loss_vfl: 0.783768 loss_bbox: 0.297825 loss_dfl: 0.194710 loss: 1.296329 eta: 13:10:58 batch_cost: 2.6823 data_cost: 0.8258 ips: 23.8603 images/s [10/18 11:03:30] ppdet.engine INFO: Epoch: [206] [ 20/229] learning_rate: 0.089169 loss_vfl: 0.767122 loss_bbox: 0.283291 loss_dfl: 0.187073 loss: 1.246241 eta: 13:10:15 batch_cost: 2.2442 data_cost: 0.0035 ips: 28.5184 images/s [10/18 11:04:18] ppdet.engine INFO: Epoch: [206] [ 40/229] learning_rate: 0.089017 loss_vfl: 0.784068 loss_bbox: 0.280322 loss_dfl: 0.184859 loss: 1.243141 eta: 13:09:31 batch_cost: 2.2064 data_cost: 0.0037 ips: 29.0064 images/s [10/18 11:05:06] ppdet.engine INFO: Epoch: [206] [ 60/229] learning_rate: 0.088865 loss_vfl: 0.792507 loss_bbox: 0.285754 loss_dfl: 0.179827 loss: 1.244309 eta: 13:08:46 batch_cost: 2.1520 data_cost: 0.0035 ips: 29.7398 images/s [10/18 11:05:53] ppdet.engine INFO: Epoch: [206] [ 80/229] learning_rate: 0.088713 loss_vfl: 0.786828 loss_bbox: 0.304699 loss_dfl: 0.193551 loss: 1.276008 eta: 13:08:02 batch_cost: 2.1636 data_cost: 0.0052 ips: 29.5797 images/s [10/18 11:06:40] ppdet.engine INFO: Epoch: [206] [100/229] learning_rate: 0.088561 loss_vfl: 0.779176 loss_bbox: 0.301526 loss_dfl: 0.193825 loss: 1.273004 eta: 13:07:17 batch_cost: 2.1646 data_cost: 0.0051 ips: 29.5661 images/s [10/18 11:07:27] ppdet.engine INFO: Epoch: [206] [120/229] learning_rate: 0.088409 loss_vfl: 0.773526 loss_bbox: 0.279382 loss_dfl: 0.181703 loss: 1.233510 eta: 13:06:33 batch_cost: 2.1778 data_cost: 0.0025 ips: 29.3879 images/s [10/18 11:08:14] ppdet.engine INFO: Epoch: [206] [140/229] learning_rate: 0.088257 loss_vfl: 0.777192 loss_bbox: 0.293493 loss_dfl: 0.186057 loss: 1.249029 eta: 13:05:48 batch_cost: 2.1621 data_cost: 0.0038 ips: 29.6009 images/s [10/18 11:09:01] ppdet.engine INFO: Epoch: [206] [160/229] learning_rate: 0.088106 loss_vfl: 0.787330 loss_bbox: 0.299583 loss_dfl: 0.198822 loss: 1.292764 eta: 13:05:04 batch_cost: 2.2061 data_cost: 0.0044 ips: 29.0103 images/s [10/18 11:09:47] ppdet.engine INFO: Epoch: [206] [180/229] learning_rate: 0.087954 loss_vfl: 0.780304 loss_bbox: 0.306603 loss_dfl: 0.195829 loss: 1.274293 eta: 13:04:20 batch_cost: 2.1629 data_cost: 0.0046 ips: 29.5899 images/s [10/18 11:10:34] ppdet.engine INFO: Epoch: [206] [200/229] learning_rate: 0.087803 loss_vfl: 0.784948 loss_bbox: 0.302742 loss_dfl: 0.194378 loss: 1.285528 eta: 13:03:35 batch_cost: 2.1467 data_cost: 0.0037 ips: 29.8131 images/s [10/18 11:11:12] ppdet.engine INFO: Epoch: [206] [220/229] learning_rate: 0.087651 loss_vfl: 0.801521 loss_bbox: 0.272617 loss_dfl: 0.185694 loss: 1.272058 eta: 13:02:47 batch_cost: 1.7384 data_cost: 0.0024 ips: 36.8149 images/s [10/18 11:11:57] ppdet.engine INFO: Epoch: [207] [ 0/229] learning_rate: 0.087583 loss_vfl: 0.775751 loss_bbox: 0.272023 loss_dfl: 0.183897 loss: 1.239903 eta: 13:02:36 batch_cost: 2.7280 data_cost: 0.8448 ips: 23.4603 images/s [10/18 11:12:43] ppdet.engine INFO: Epoch: [207] [ 20/229] learning_rate: 0.087432 loss_vfl: 0.786467 loss_bbox: 0.294115 loss_dfl: 0.186628 loss: 1.283933 eta: 13:01:51 batch_cost: 2.1196 data_cost: 0.0054 ips: 30.1940 images/s [10/18 11:13:30] ppdet.engine INFO: Epoch: [207] [ 40/229] learning_rate: 0.087281 loss_vfl: 0.766263 loss_bbox: 0.290482 loss_dfl: 0.191325 loss: 1.254101 eta: 13:01:06 batch_cost: 2.1466 data_cost: 0.0053 ips: 29.8141 images/s [10/18 11:14:16] ppdet.engine INFO: Epoch: [207] [ 60/229] learning_rate: 0.087130 loss_vfl: 0.766265 loss_bbox: 0.304973 loss_dfl: 0.196162 loss: 1.267903 eta: 13:00:22 batch_cost: 2.1398 data_cost: 0.0054 ips: 29.9091 images/s [10/18 11:15:04] ppdet.engine INFO: Epoch: [207] [ 80/229] learning_rate: 0.086979 loss_vfl: 0.765203 loss_bbox: 0.275600 loss_dfl: 0.179391 loss: 1.229972 eta: 12:59:38 batch_cost: 2.2035 data_cost: 0.0035 ips: 29.0451 images/s [10/18 11:15:51] ppdet.engine INFO: Epoch: [207] [100/229] learning_rate: 0.086828 loss_vfl: 0.769580 loss_bbox: 0.304791 loss_dfl: 0.191063 loss: 1.278822 eta: 12:58:53 batch_cost: 2.1918 data_cost: 0.0057 ips: 29.1997 images/s [10/18 11:16:39] ppdet.engine INFO: Epoch: [207] [120/229] learning_rate: 0.086677 loss_vfl: 0.779595 loss_bbox: 0.302619 loss_dfl: 0.194415 loss: 1.285833 eta: 12:58:09 batch_cost: 2.1217 data_cost: 0.0054 ips: 30.1640 images/s [10/18 11:17:27] ppdet.engine INFO: Epoch: [207] [140/229] learning_rate: 0.086527 loss_vfl: 0.780644 loss_bbox: 0.302124 loss_dfl: 0.189732 loss: 1.268154 eta: 12:57:25 batch_cost: 2.2477 data_cost: 0.0036 ips: 28.4736 images/s [10/18 11:18:13] ppdet.engine INFO: Epoch: [207] [160/229] learning_rate: 0.086376 loss_vfl: 0.777477 loss_bbox: 0.296491 loss_dfl: 0.189716 loss: 1.279106 eta: 12:56:40 batch_cost: 2.1598 data_cost: 0.0044 ips: 29.6325 images/s [10/18 11:18:59] ppdet.engine INFO: Epoch: [207] [180/229] learning_rate: 0.086226 loss_vfl: 0.782909 loss_bbox: 0.299997 loss_dfl: 0.195538 loss: 1.270712 eta: 12:55:56 batch_cost: 2.1612 data_cost: 0.0038 ips: 29.6126 images/s [10/18 11:19:46] ppdet.engine INFO: Epoch: [207] [200/229] learning_rate: 0.086075 loss_vfl: 0.783460 loss_bbox: 0.293296 loss_dfl: 0.194162 loss: 1.283409 eta: 12:55:11 batch_cost: 2.1574 data_cost: 0.0033 ips: 29.6648 images/s [10/18 11:20:25] ppdet.engine INFO: Epoch: [207] [220/229] learning_rate: 0.085925 loss_vfl: 0.778164 loss_bbox: 0.312352 loss_dfl: 0.194660 loss: 1.267224 eta: 12:54:23 batch_cost: 1.7502 data_cost: 0.0029 ips: 36.5677 images/s [10/18 11:21:07] ppdet.engine INFO: Epoch: [208] [ 0/229] learning_rate: 0.085857 loss_vfl: 0.782119 loss_bbox: 0.300056 loss_dfl: 0.189632 loss: 1.255131 eta: 12:54:11 batch_cost: 2.6554 data_cost: 0.9258 ips: 24.1021 images/s [10/18 11:21:55] ppdet.engine INFO: Epoch: [208] [ 20/229] learning_rate: 0.085707 loss_vfl: 0.781837 loss_bbox: 0.291460 loss_dfl: 0.188953 loss: 1.288410 eta: 12:53:27 batch_cost: 2.2244 data_cost: 0.0073 ips: 28.7718 images/s [10/18 11:22:43] ppdet.engine INFO: Epoch: [208] [ 40/229] learning_rate: 0.085557 loss_vfl: 0.763549 loss_bbox: 0.305124 loss_dfl: 0.197830 loss: 1.305244 eta: 12:52:43 batch_cost: 2.1992 data_cost: 0.0024 ips: 29.1019 images/s [10/18 11:23:30] ppdet.engine INFO: Epoch: [208] [ 60/229] learning_rate: 0.085407 loss_vfl: 0.764870 loss_bbox: 0.292004 loss_dfl: 0.188013 loss: 1.250211 eta: 12:51:59 batch_cost: 2.1983 data_cost: 0.0040 ips: 29.1128 images/s [10/18 11:24:18] ppdet.engine INFO: Epoch: [208] [ 80/229] learning_rate: 0.085257 loss_vfl: 0.784444 loss_bbox: 0.288675 loss_dfl: 0.189669 loss: 1.265001 eta: 12:51:15 batch_cost: 2.2159 data_cost: 0.0043 ips: 28.8821 images/s [10/18 11:25:05] ppdet.engine INFO: Epoch: [208] [100/229] learning_rate: 0.085107 loss_vfl: 0.760118 loss_bbox: 0.279572 loss_dfl: 0.184433 loss: 1.240466 eta: 12:50:31 batch_cost: 2.1716 data_cost: 0.0048 ips: 29.4716 images/s [10/18 11:25:52] ppdet.engine INFO: Epoch: [208] [120/229] learning_rate: 0.084958 loss_vfl: 0.777308 loss_bbox: 0.292317 loss_dfl: 0.190746 loss: 1.268729 eta: 12:49:46 batch_cost: 2.1514 data_cost: 0.0053 ips: 29.7477 images/s [10/18 11:26:39] ppdet.engine INFO: Epoch: [208] [140/229] learning_rate: 0.084808 loss_vfl: 0.789261 loss_bbox: 0.314399 loss_dfl: 0.198272 loss: 1.296524 eta: 12:49:02 batch_cost: 2.1725 data_cost: 0.0037 ips: 29.4587 images/s [10/18 11:27:28] ppdet.engine INFO: Epoch: [208] [160/229] learning_rate: 0.084659 loss_vfl: 0.779459 loss_bbox: 0.290910 loss_dfl: 0.187833 loss: 1.276608 eta: 12:48:18 batch_cost: 2.2129 data_cost: 0.0116 ips: 28.9217 images/s [10/18 11:28:15] ppdet.engine INFO: Epoch: [208] [180/229] learning_rate: 0.084509 loss_vfl: 0.774612 loss_bbox: 0.291274 loss_dfl: 0.186896 loss: 1.261609 eta: 12:47:33 batch_cost: 2.1506 data_cost: 0.0051 ips: 29.7591 images/s [10/18 11:29:02] ppdet.engine INFO: Epoch: [208] [200/229] learning_rate: 0.084360 loss_vfl: 0.763529 loss_bbox: 0.299040 loss_dfl: 0.193190 loss: 1.259431 eta: 12:46:49 batch_cost: 2.1665 data_cost: 0.0067 ips: 29.5414 images/s [10/18 11:29:40] ppdet.engine INFO: Epoch: [208] [220/229] learning_rate: 0.084211 loss_vfl: 0.771058 loss_bbox: 0.298733 loss_dfl: 0.189706 loss: 1.274100 eta: 12:46:01 batch_cost: 1.7649 data_cost: 0.0051 ips: 36.2617 images/s [10/18 11:30:25] ppdet.engine INFO: Epoch: [209] [ 0/229] learning_rate: 0.084144 loss_vfl: 0.771335 loss_bbox: 0.287975 loss_dfl: 0.188550 loss: 1.241255 eta: 12:45:50 batch_cost: 2.7987 data_cost: 0.8774 ips: 22.8680 images/s [10/18 11:31:12] ppdet.engine INFO: Epoch: [209] [ 20/229] learning_rate: 0.083995 loss_vfl: 0.785815 loss_bbox: 0.286069 loss_dfl: 0.184897 loss: 1.251691 eta: 12:45:05 batch_cost: 2.1889 data_cost: 0.0058 ips: 29.2382 images/s [10/18 11:32:00] ppdet.engine INFO: Epoch: [209] [ 40/229] learning_rate: 0.083846 loss_vfl: 0.790827 loss_bbox: 0.307555 loss_dfl: 0.199506 loss: 1.298725 eta: 12:44:22 batch_cost: 2.2337 data_cost: 0.0045 ips: 28.6519 images/s [10/18 11:32:48] ppdet.engine INFO: Epoch: [209] [ 60/229] learning_rate: 0.083697 loss_vfl: 0.762874 loss_bbox: 0.300731 loss_dfl: 0.192399 loss: 1.256768 eta: 12:43:37 batch_cost: 2.1617 data_cost: 0.0031 ips: 29.6069 images/s [10/18 11:33:35] ppdet.engine INFO: Epoch: [209] [ 80/229] learning_rate: 0.083548 loss_vfl: 0.773663 loss_bbox: 0.292102 loss_dfl: 0.188792 loss: 1.241669 eta: 12:42:52 batch_cost: 2.1376 data_cost: 0.0070 ips: 29.9408 images/s [10/18 11:34:22] ppdet.engine INFO: Epoch: [209] [100/229] learning_rate: 0.083399 loss_vfl: 0.787803 loss_bbox: 0.307181 loss_dfl: 0.196337 loss: 1.299286 eta: 12:42:08 batch_cost: 2.1848 data_cost: 0.0021 ips: 29.2930 images/s [10/18 11:35:08] ppdet.engine INFO: Epoch: [209] [120/229] learning_rate: 0.083251 loss_vfl: 0.789854 loss_bbox: 0.294785 loss_dfl: 0.194410 loss: 1.259492 eta: 12:41:23 batch_cost: 2.1275 data_cost: 0.0026 ips: 30.0825 images/s [10/18 11:35:56] ppdet.engine INFO: Epoch: [209] [140/229] learning_rate: 0.083102 loss_vfl: 0.781852 loss_bbox: 0.315342 loss_dfl: 0.193440 loss: 1.290882 eta: 12:40:39 batch_cost: 2.1795 data_cost: 0.0028 ips: 29.3645 images/s [10/18 11:36:43] ppdet.engine INFO: Epoch: [209] [160/229] learning_rate: 0.082954 loss_vfl: 0.786955 loss_bbox: 0.302416 loss_dfl: 0.197503 loss: 1.288095 eta: 12:39:55 batch_cost: 2.1951 data_cost: 0.0022 ips: 29.1560 images/s [10/18 11:37:28] ppdet.engine INFO: Epoch: [209] [180/229] learning_rate: 0.082806 loss_vfl: 0.778142 loss_bbox: 0.289454 loss_dfl: 0.191960 loss: 1.262864 eta: 12:39:09 batch_cost: 2.0580 data_cost: 0.0038 ips: 31.0982 images/s [10/18 11:38:16] ppdet.engine INFO: Epoch: [209] [200/229] learning_rate: 0.082658 loss_vfl: 0.794778 loss_bbox: 0.286705 loss_dfl: 0.190826 loss: 1.266682 eta: 12:38:25 batch_cost: 2.1686 data_cost: 0.0034 ips: 29.5123 images/s [10/18 11:38:54] ppdet.engine INFO: Epoch: [209] [220/229] learning_rate: 0.082510 loss_vfl: 0.773218 loss_bbox: 0.292940 loss_dfl: 0.188991 loss: 1.232498 eta: 12:37:37 batch_cost: 1.7932 data_cost: 0.0015 ips: 35.6896 images/s [10/18 11:39:09] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 11:39:09] ppdet.engine INFO: Eval iter: 0 [10/18 11:39:49] ppdet.engine INFO: Eval iter: 100 [10/18 11:40:04] ppdet.engine INFO: Eval iter: 200 [10/18 11:40:18] ppdet.engine INFO: Eval iter: 300 [10/18 11:40:33] ppdet.engine INFO: Eval iter: 400 [10/18 11:40:49] ppdet.engine INFO: Eval iter: 500 [10/18 11:41:04] ppdet.engine INFO: Eval iter: 600 [10/18 11:41:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.51s) creating index... index created! [10/18 11:41:17] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.49s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.40s). Accumulating evaluation results... DONE (t=11.38s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.306 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.455 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.322 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.095 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.316 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.522 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 ] = 0.426 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 ] = 0.161 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.720 [10/18 11:42:37] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.50033599577183 [10/18 11:42:37] ppdet.engine INFO: Best test bbox ap is 0.307. [10/18 11:42:38] ppdet.engine INFO: Epoch: [210] [ 0/229] learning_rate: 0.082443 loss_vfl: 0.769475 loss_bbox: 0.290768 loss_dfl: 0.188891 loss: 1.231812 eta: 12:37:13 batch_cost: 1.3089 data_cost: 0.0013 ips: 48.8976 images/s [10/18 11:43:25] ppdet.engine INFO: Epoch: [210] [ 20/229] learning_rate: 0.082295 loss_vfl: 0.775879 loss_bbox: 0.287250 loss_dfl: 0.186177 loss: 1.267329 eta: 12:36:29 batch_cost: 2.1506 data_cost: 0.0042 ips: 29.7595 images/s [10/18 11:44:12] ppdet.engine INFO: Epoch: [210] [ 40/229] learning_rate: 0.082147 loss_vfl: 0.779178 loss_bbox: 0.295686 loss_dfl: 0.186002 loss: 1.268232 eta: 12:35:45 batch_cost: 2.2090 data_cost: 0.0062 ips: 28.9725 images/s [10/18 11:45:00] ppdet.engine INFO: Epoch: [210] [ 60/229] learning_rate: 0.081999 loss_vfl: 0.779647 loss_bbox: 0.291166 loss_dfl: 0.192312 loss: 1.275464 eta: 12:35:01 batch_cost: 2.2330 data_cost: 0.0051 ips: 28.6616 images/s [10/18 11:45:47] ppdet.engine INFO: Epoch: [210] [ 80/229] learning_rate: 0.081852 loss_vfl: 0.777068 loss_bbox: 0.308376 loss_dfl: 0.196673 loss: 1.263538 eta: 12:34:17 batch_cost: 2.2138 data_cost: 0.0021 ips: 28.9098 images/s [10/18 11:46:35] ppdet.engine INFO: Epoch: [210] [100/229] learning_rate: 0.081704 loss_vfl: 0.780237 loss_bbox: 0.288242 loss_dfl: 0.179975 loss: 1.233836 eta: 12:33:33 batch_cost: 2.2444 data_cost: 0.0069 ips: 28.5155 images/s [10/18 11:47:21] ppdet.engine INFO: Epoch: [210] [120/229] learning_rate: 0.081557 loss_vfl: 0.782797 loss_bbox: 0.286388 loss_dfl: 0.195290 loss: 1.262306 eta: 12:32:48 batch_cost: 2.1349 data_cost: 0.0046 ips: 29.9780 images/s [10/18 11:48:09] ppdet.engine INFO: Epoch: [210] [140/229] learning_rate: 0.081409 loss_vfl: 0.780110 loss_bbox: 0.301240 loss_dfl: 0.185931 loss: 1.242324 eta: 12:32:05 batch_cost: 2.2479 data_cost: 0.0052 ips: 28.4710 images/s [10/18 11:48:57] ppdet.engine INFO: Epoch: [210] [160/229] learning_rate: 0.081262 loss_vfl: 0.777665 loss_bbox: 0.291404 loss_dfl: 0.182883 loss: 1.262083 eta: 12:31:21 batch_cost: 2.2114 data_cost: 0.0039 ips: 28.9406 images/s [10/18 11:49:43] ppdet.engine INFO: Epoch: [210] [180/229] learning_rate: 0.081115 loss_vfl: 0.770458 loss_bbox: 0.290463 loss_dfl: 0.188685 loss: 1.237000 eta: 12:30:36 batch_cost: 2.1843 data_cost: 0.0031 ips: 29.3005 images/s [10/18 11:50:30] ppdet.engine INFO: Epoch: [210] [200/229] learning_rate: 0.080968 loss_vfl: 0.785365 loss_bbox: 0.296914 loss_dfl: 0.191818 loss: 1.278019 eta: 12:29:52 batch_cost: 2.1717 data_cost: 0.0049 ips: 29.4694 images/s [10/18 11:51:09] ppdet.engine INFO: Epoch: [210] [220/229] learning_rate: 0.080821 loss_vfl: 0.777597 loss_bbox: 0.295067 loss_dfl: 0.190512 loss: 1.246123 eta: 12:29:04 batch_cost: 1.7761 data_cost: 0.0024 ips: 36.0337 images/s [10/18 11:51:53] ppdet.engine INFO: Epoch: [211] [ 0/229] learning_rate: 0.080755 loss_vfl: 0.786238 loss_bbox: 0.278442 loss_dfl: 0.189554 loss: 1.250691 eta: 12:28:53 batch_cost: 2.8134 data_cost: 1.2681 ips: 22.7479 images/s [10/18 11:52:41] ppdet.engine INFO: Epoch: [211] [ 20/229] learning_rate: 0.080608 loss_vfl: 0.778073 loss_bbox: 0.276713 loss_dfl: 0.185855 loss: 1.239398 eta: 12:28:09 batch_cost: 2.1557 data_cost: 0.0057 ips: 29.6881 images/s [10/18 11:53:27] ppdet.engine INFO: Epoch: [211] [ 40/229] learning_rate: 0.080462 loss_vfl: 0.775261 loss_bbox: 0.312415 loss_dfl: 0.197660 loss: 1.293144 eta: 12:27:24 batch_cost: 2.1751 data_cost: 0.0027 ips: 29.4239 images/s [10/18 11:54:15] ppdet.engine INFO: Epoch: [211] [ 60/229] learning_rate: 0.080315 loss_vfl: 0.793022 loss_bbox: 0.300570 loss_dfl: 0.194151 loss: 1.271966 eta: 12:26:40 batch_cost: 2.1655 data_cost: 0.0042 ips: 29.5540 images/s [10/18 11:55:01] ppdet.engine INFO: Epoch: [211] [ 80/229] learning_rate: 0.080168 loss_vfl: 0.783277 loss_bbox: 0.291644 loss_dfl: 0.188478 loss: 1.255751 eta: 12:25:56 batch_cost: 2.1747 data_cost: 0.0030 ips: 29.4300 images/s [10/18 11:55:48] ppdet.engine INFO: Epoch: [211] [100/229] learning_rate: 0.080022 loss_vfl: 0.774916 loss_bbox: 0.296754 loss_dfl: 0.203812 loss: 1.272668 eta: 12:25:12 batch_cost: 2.2000 data_cost: 0.0044 ips: 29.0910 images/s [10/18 11:56:35] ppdet.engine INFO: Epoch: [211] [120/229] learning_rate: 0.079876 loss_vfl: 0.775065 loss_bbox: 0.302054 loss_dfl: 0.200463 loss: 1.277318 eta: 12:24:27 batch_cost: 2.1709 data_cost: 0.0039 ips: 29.4814 images/s [10/18 11:57:22] ppdet.engine INFO: Epoch: [211] [140/229] learning_rate: 0.079730 loss_vfl: 0.773037 loss_bbox: 0.283864 loss_dfl: 0.184549 loss: 1.236029 eta: 12:23:43 batch_cost: 2.1578 data_cost: 0.0031 ips: 29.6594 images/s [10/18 11:58:07] ppdet.engine INFO: Epoch: [211] [160/229] learning_rate: 0.079583 loss_vfl: 0.787197 loss_bbox: 0.293807 loss_dfl: 0.192874 loss: 1.274956 eta: 12:22:58 batch_cost: 2.1112 data_cost: 0.0032 ips: 30.3145 images/s [10/18 11:58:54] ppdet.engine INFO: Epoch: [211] [180/229] learning_rate: 0.079437 loss_vfl: 0.789562 loss_bbox: 0.311258 loss_dfl: 0.200157 loss: 1.301830 eta: 12:22:14 batch_cost: 2.2067 data_cost: 0.0056 ips: 29.0025 images/s [10/18 11:59:41] ppdet.engine INFO: Epoch: [211] [200/229] learning_rate: 0.079292 loss_vfl: 0.790484 loss_bbox: 0.303342 loss_dfl: 0.189869 loss: 1.283103 eta: 12:21:29 batch_cost: 2.1765 data_cost: 0.0049 ips: 29.4047 images/s [10/18 12:00:18] ppdet.engine INFO: Epoch: [211] [220/229] learning_rate: 0.079146 loss_vfl: 0.767811 loss_bbox: 0.286024 loss_dfl: 0.185350 loss: 1.243451 eta: 12:20:41 batch_cost: 1.7336 data_cost: 0.0043 ips: 36.9170 images/s [10/18 12:01:02] ppdet.engine INFO: Epoch: [212] [ 0/229] learning_rate: 0.079080 loss_vfl: 0.783286 loss_bbox: 0.289813 loss_dfl: 0.188268 loss: 1.256507 eta: 12:20:29 batch_cost: 2.6557 data_cost: 0.8139 ips: 24.0988 images/s [10/18 12:01:51] ppdet.engine INFO: Epoch: [212] [ 20/229] learning_rate: 0.078935 loss_vfl: 0.767864 loss_bbox: 0.278391 loss_dfl: 0.183801 loss: 1.235482 eta: 12:19:45 batch_cost: 2.2102 data_cost: 0.0038 ips: 28.9564 images/s [10/18 12:02:38] ppdet.engine INFO: Epoch: [212] [ 40/229] learning_rate: 0.078789 loss_vfl: 0.770915 loss_bbox: 0.289829 loss_dfl: 0.193666 loss: 1.254040 eta: 12:19:01 batch_cost: 2.2047 data_cost: 0.0054 ips: 29.0284 images/s [10/18 12:03:25] ppdet.engine INFO: Epoch: [212] [ 60/229] learning_rate: 0.078644 loss_vfl: 0.760388 loss_bbox: 0.299619 loss_dfl: 0.186272 loss: 1.230699 eta: 12:18:17 batch_cost: 2.1829 data_cost: 0.0043 ips: 29.3188 images/s [10/18 12:04:13] ppdet.engine INFO: Epoch: [212] [ 80/229] learning_rate: 0.078498 loss_vfl: 0.766756 loss_bbox: 0.295582 loss_dfl: 0.191476 loss: 1.249017 eta: 12:17:33 batch_cost: 2.1996 data_cost: 0.0044 ips: 29.0964 images/s [10/18 12:05:00] ppdet.engine INFO: Epoch: [212] [100/229] learning_rate: 0.078353 loss_vfl: 0.785279 loss_bbox: 0.279953 loss_dfl: 0.194910 loss: 1.278069 eta: 12:16:48 batch_cost: 2.1839 data_cost: 0.0049 ips: 29.3053 images/s [10/18 12:05:47] ppdet.engine INFO: Epoch: [212] [120/229] learning_rate: 0.078208 loss_vfl: 0.766452 loss_bbox: 0.289310 loss_dfl: 0.180521 loss: 1.256681 eta: 12:16:04 batch_cost: 2.1329 data_cost: 0.0076 ips: 30.0064 images/s [10/18 12:06:35] ppdet.engine INFO: Epoch: [212] [140/229] learning_rate: 0.078063 loss_vfl: 0.788503 loss_bbox: 0.293884 loss_dfl: 0.190729 loss: 1.266934 eta: 12:15:19 batch_cost: 2.1844 data_cost: 0.0027 ips: 29.2981 images/s [10/18 12:07:22] ppdet.engine INFO: Epoch: [212] [160/229] learning_rate: 0.077918 loss_vfl: 0.777411 loss_bbox: 0.291504 loss_dfl: 0.194569 loss: 1.278773 eta: 12:14:35 batch_cost: 2.1832 data_cost: 0.0057 ips: 29.3148 images/s [10/18 12:08:08] ppdet.engine INFO: Epoch: [212] [180/229] learning_rate: 0.077773 loss_vfl: 0.783930 loss_bbox: 0.300493 loss_dfl: 0.194994 loss: 1.270533 eta: 12:13:50 batch_cost: 2.1370 data_cost: 0.0045 ips: 29.9490 images/s [10/18 12:08:55] ppdet.engine INFO: Epoch: [212] [200/229] learning_rate: 0.077628 loss_vfl: 0.768940 loss_bbox: 0.278401 loss_dfl: 0.184034 loss: 1.238750 eta: 12:13:06 batch_cost: 2.1193 data_cost: 0.0058 ips: 30.1993 images/s [10/18 12:09:33] ppdet.engine INFO: Epoch: [212] [220/229] learning_rate: 0.077484 loss_vfl: 0.764672 loss_bbox: 0.302268 loss_dfl: 0.197224 loss: 1.275378 eta: 12:12:18 batch_cost: 1.7318 data_cost: 0.0019 ips: 36.9556 images/s [10/18 12:10:20] ppdet.engine INFO: Epoch: [213] [ 0/229] learning_rate: 0.077419 loss_vfl: 0.770348 loss_bbox: 0.300530 loss_dfl: 0.186464 loss: 1.254438 eta: 12:12:06 batch_cost: 2.8072 data_cost: 0.8876 ips: 22.7988 images/s [10/18 12:11:08] ppdet.engine INFO: Epoch: [213] [ 20/229] learning_rate: 0.077274 loss_vfl: 0.764066 loss_bbox: 0.279665 loss_dfl: 0.191274 loss: 1.261408 eta: 12:11:22 batch_cost: 2.2013 data_cost: 0.0048 ips: 29.0733 images/s [10/18 12:11:55] ppdet.engine INFO: Epoch: [213] [ 40/229] learning_rate: 0.077130 loss_vfl: 0.775740 loss_bbox: 0.300895 loss_dfl: 0.195150 loss: 1.250640 eta: 12:10:37 batch_cost: 2.1359 data_cost: 0.0052 ips: 29.9642 images/s [10/18 12:12:41] ppdet.engine INFO: Epoch: [213] [ 60/229] learning_rate: 0.076985 loss_vfl: 0.782114 loss_bbox: 0.291783 loss_dfl: 0.183461 loss: 1.259209 eta: 12:09:53 batch_cost: 2.1518 data_cost: 0.0046 ips: 29.7426 images/s [10/18 12:13:29] ppdet.engine INFO: Epoch: [213] [ 80/229] learning_rate: 0.076841 loss_vfl: 0.794536 loss_bbox: 0.285901 loss_dfl: 0.185799 loss: 1.259543 eta: 12:09:09 batch_cost: 2.1916 data_cost: 0.0038 ips: 29.2027 images/s [10/18 12:14:16] ppdet.engine INFO: Epoch: [213] [100/229] learning_rate: 0.076697 loss_vfl: 0.786520 loss_bbox: 0.308348 loss_dfl: 0.197919 loss: 1.298394 eta: 12:08:24 batch_cost: 2.1249 data_cost: 0.0102 ips: 30.1184 images/s [10/18 12:15:03] ppdet.engine INFO: Epoch: [213] [120/229] learning_rate: 0.076553 loss_vfl: 0.777857 loss_bbox: 0.290325 loss_dfl: 0.196462 loss: 1.273035 eta: 12:07:40 batch_cost: 2.1801 data_cost: 0.0025 ips: 29.3558 images/s [10/18 12:15:51] ppdet.engine INFO: Epoch: [213] [140/229] learning_rate: 0.076409 loss_vfl: 0.764483 loss_bbox: 0.286312 loss_dfl: 0.195266 loss: 1.243561 eta: 12:06:55 batch_cost: 2.1499 data_cost: 0.0135 ips: 29.7691 images/s [10/18 12:16:38] ppdet.engine INFO: Epoch: [213] [160/229] learning_rate: 0.076266 loss_vfl: 0.769707 loss_bbox: 0.307367 loss_dfl: 0.189235 loss: 1.264659 eta: 12:06:11 batch_cost: 2.1973 data_cost: 0.0045 ips: 29.1272 images/s [10/18 12:17:25] ppdet.engine INFO: Epoch: [213] [180/229] learning_rate: 0.076122 loss_vfl: 0.786047 loss_bbox: 0.294601 loss_dfl: 0.189143 loss: 1.264668 eta: 12:05:27 batch_cost: 2.1606 data_cost: 0.0056 ips: 29.6214 images/s [10/18 12:18:11] ppdet.engine INFO: Epoch: [213] [200/229] learning_rate: 0.075978 loss_vfl: 0.766575 loss_bbox: 0.287166 loss_dfl: 0.188166 loss: 1.247858 eta: 12:04:42 batch_cost: 2.1125 data_cost: 0.0030 ips: 30.2952 images/s [10/18 12:18:49] ppdet.engine INFO: Epoch: [213] [220/229] learning_rate: 0.075835 loss_vfl: 0.796650 loss_bbox: 0.286079 loss_dfl: 0.189482 loss: 1.283985 eta: 12:03:54 batch_cost: 1.7343 data_cost: 0.0031 ips: 36.9017 images/s [10/18 12:19:32] ppdet.engine INFO: Epoch: [214] [ 0/229] learning_rate: 0.075770 loss_vfl: 0.798728 loss_bbox: 0.275836 loss_dfl: 0.186435 loss: 1.262549 eta: 12:03:41 batch_cost: 2.6708 data_cost: 1.1022 ips: 23.9627 images/s [10/18 12:20:20] ppdet.engine INFO: Epoch: [214] [ 20/229] learning_rate: 0.075627 loss_vfl: 0.767352 loss_bbox: 0.273893 loss_dfl: 0.185226 loss: 1.238821 eta: 12:02:57 batch_cost: 2.1909 data_cost: 0.0019 ips: 29.2115 images/s [10/18 12:21:07] ppdet.engine INFO: Epoch: [214] [ 40/229] learning_rate: 0.075484 loss_vfl: 0.769120 loss_bbox: 0.311118 loss_dfl: 0.194215 loss: 1.274012 eta: 12:02:13 batch_cost: 2.1831 data_cost: 0.0040 ips: 29.3165 images/s [10/18 12:21:54] ppdet.engine INFO: Epoch: [214] [ 60/229] learning_rate: 0.075341 loss_vfl: 0.780813 loss_bbox: 0.299078 loss_dfl: 0.194731 loss: 1.268138 eta: 12:01:28 batch_cost: 2.1605 data_cost: 0.0079 ips: 29.6233 images/s [10/18 12:22:42] ppdet.engine INFO: Epoch: [214] [ 80/229] learning_rate: 0.075198 loss_vfl: 0.771165 loss_bbox: 0.295746 loss_dfl: 0.185063 loss: 1.236040 eta: 12:00:44 batch_cost: 2.1771 data_cost: 0.0055 ips: 29.3972 images/s [10/18 12:23:28] ppdet.engine INFO: Epoch: [214] [100/229] learning_rate: 0.075055 loss_vfl: 0.756360 loss_bbox: 0.276804 loss_dfl: 0.185988 loss: 1.230426 eta: 11:59:59 batch_cost: 2.1157 data_cost: 0.0057 ips: 30.2498 images/s [10/18 12:24:15] ppdet.engine INFO: Epoch: [214] [120/229] learning_rate: 0.074912 loss_vfl: 0.771550 loss_bbox: 0.288725 loss_dfl: 0.190503 loss: 1.251128 eta: 11:59:15 batch_cost: 2.1645 data_cost: 0.0041 ips: 29.5677 images/s [10/18 12:25:03] ppdet.engine INFO: Epoch: [214] [140/229] learning_rate: 0.074770 loss_vfl: 0.769765 loss_bbox: 0.294305 loss_dfl: 0.189937 loss: 1.239661 eta: 11:58:31 batch_cost: 2.2448 data_cost: 0.0036 ips: 28.5098 images/s [10/18 12:25:50] ppdet.engine INFO: Epoch: [214] [160/229] learning_rate: 0.074627 loss_vfl: 0.786666 loss_bbox: 0.291747 loss_dfl: 0.192501 loss: 1.283102 eta: 11:57:47 batch_cost: 2.1657 data_cost: 0.0034 ips: 29.5517 images/s [10/18 12:26:36] ppdet.engine INFO: Epoch: [214] [180/229] learning_rate: 0.074485 loss_vfl: 0.750363 loss_bbox: 0.298187 loss_dfl: 0.196492 loss: 1.264277 eta: 11:57:02 batch_cost: 2.1588 data_cost: 0.0054 ips: 29.6463 images/s [10/18 12:27:23] ppdet.engine INFO: Epoch: [214] [200/229] learning_rate: 0.074342 loss_vfl: 0.778377 loss_bbox: 0.311868 loss_dfl: 0.197867 loss: 1.302939 eta: 11:56:18 batch_cost: 2.1949 data_cost: 0.0034 ips: 29.1583 images/s [10/18 12:28:02] ppdet.engine INFO: Epoch: [214] [220/229] learning_rate: 0.074200 loss_vfl: 0.768528 loss_bbox: 0.276696 loss_dfl: 0.182913 loss: 1.259510 eta: 11:55:31 batch_cost: 1.8235 data_cost: 0.0036 ips: 35.0970 images/s [10/18 12:28:45] ppdet.engine INFO: Epoch: [215] [ 0/229] learning_rate: 0.074136 loss_vfl: 0.783067 loss_bbox: 0.293108 loss_dfl: 0.192960 loss: 1.268267 eta: 11:55:18 batch_cost: 2.6838 data_cost: 0.9082 ips: 23.8469 images/s [10/18 12:29:33] ppdet.engine INFO: Epoch: [215] [ 20/229] learning_rate: 0.073994 loss_vfl: 0.764730 loss_bbox: 0.287818 loss_dfl: 0.191598 loss: 1.263865 eta: 11:54:34 batch_cost: 2.1854 data_cost: 0.0052 ips: 29.2858 images/s [10/18 12:30:19] ppdet.engine INFO: Epoch: [215] [ 40/229] learning_rate: 0.073852 loss_vfl: 0.774409 loss_bbox: 0.293333 loss_dfl: 0.196655 loss: 1.265666 eta: 11:53:49 batch_cost: 2.1397 data_cost: 0.0048 ips: 29.9112 images/s [10/18 12:31:08] ppdet.engine INFO: Epoch: [215] [ 60/229] learning_rate: 0.073710 loss_vfl: 0.774105 loss_bbox: 0.299418 loss_dfl: 0.186402 loss: 1.254900 eta: 11:53:06 batch_cost: 2.2756 data_cost: 0.0082 ips: 28.1246 images/s [10/18 12:31:55] ppdet.engine INFO: Epoch: [215] [ 80/229] learning_rate: 0.073568 loss_vfl: 0.768259 loss_bbox: 0.293309 loss_dfl: 0.195180 loss: 1.270404 eta: 11:52:21 batch_cost: 2.1417 data_cost: 0.0038 ips: 29.8834 images/s [10/18 12:32:42] ppdet.engine INFO: Epoch: [215] [100/229] learning_rate: 0.073426 loss_vfl: 0.780009 loss_bbox: 0.311735 loss_dfl: 0.190300 loss: 1.291336 eta: 11:51:36 batch_cost: 2.1294 data_cost: 0.0036 ips: 30.0552 images/s [10/18 12:33:29] ppdet.engine INFO: Epoch: [215] [120/229] learning_rate: 0.073285 loss_vfl: 0.778514 loss_bbox: 0.292984 loss_dfl: 0.186251 loss: 1.247672 eta: 11:50:51 batch_cost: 2.1068 data_cost: 0.0047 ips: 30.3783 images/s [10/18 12:34:15] ppdet.engine INFO: Epoch: [215] [140/229] learning_rate: 0.073143 loss_vfl: 0.766329 loss_bbox: 0.291441 loss_dfl: 0.192229 loss: 1.245639 eta: 11:50:07 batch_cost: 2.1533 data_cost: 0.0034 ips: 29.7221 images/s [10/18 12:35:02] ppdet.engine INFO: Epoch: [215] [160/229] learning_rate: 0.073002 loss_vfl: 0.790980 loss_bbox: 0.298162 loss_dfl: 0.190388 loss: 1.274622 eta: 11:49:23 batch_cost: 2.2232 data_cost: 0.0016 ips: 28.7880 images/s [10/18 12:35:49] ppdet.engine INFO: Epoch: [215] [180/229] learning_rate: 0.072861 loss_vfl: 0.770342 loss_bbox: 0.290178 loss_dfl: 0.188969 loss: 1.256075 eta: 11:48:39 batch_cost: 2.2034 data_cost: 0.0023 ips: 29.0461 images/s [10/18 12:36:36] ppdet.engine INFO: Epoch: [215] [200/229] learning_rate: 0.072720 loss_vfl: 0.762863 loss_bbox: 0.285071 loss_dfl: 0.187883 loss: 1.251791 eta: 11:47:54 batch_cost: 2.1690 data_cost: 0.0028 ips: 29.5069 images/s [10/18 12:37:14] ppdet.engine INFO: Epoch: [215] [220/229] learning_rate: 0.072579 loss_vfl: 0.764925 loss_bbox: 0.297443 loss_dfl: 0.187491 loss: 1.256970 eta: 11:47:07 batch_cost: 1.7681 data_cost: 0.0018 ips: 36.1976 images/s [10/18 12:37:57] ppdet.engine INFO: Epoch: [216] [ 0/229] learning_rate: 0.072515 loss_vfl: 0.786107 loss_bbox: 0.293167 loss_dfl: 0.189575 loss: 1.278791 eta: 11:46:54 batch_cost: 2.6370 data_cost: 0.9374 ips: 24.2696 images/s [10/18 12:38:45] ppdet.engine INFO: Epoch: [216] [ 20/229] learning_rate: 0.072374 loss_vfl: 0.787986 loss_bbox: 0.292488 loss_dfl: 0.193700 loss: 1.280365 eta: 11:46:09 batch_cost: 2.1391 data_cost: 0.0023 ips: 29.9196 images/s [10/18 12:39:31] ppdet.engine INFO: Epoch: [216] [ 40/229] learning_rate: 0.072234 loss_vfl: 0.757376 loss_bbox: 0.274680 loss_dfl: 0.185954 loss: 1.220810 eta: 11:45:25 batch_cost: 2.1188 data_cost: 0.0092 ips: 30.2055 images/s [10/18 12:40:18] ppdet.engine INFO: Epoch: [216] [ 60/229] learning_rate: 0.072093 loss_vfl: 0.775937 loss_bbox: 0.280724 loss_dfl: 0.185604 loss: 1.238683 eta: 11:44:40 batch_cost: 2.1667 data_cost: 0.0060 ips: 29.5383 images/s [10/18 12:41:04] ppdet.engine INFO: Epoch: [216] [ 80/229] learning_rate: 0.071952 loss_vfl: 0.780632 loss_bbox: 0.300413 loss_dfl: 0.193011 loss: 1.267520 eta: 11:43:56 batch_cost: 2.1450 data_cost: 0.0020 ips: 29.8373 images/s [10/18 12:41:52] ppdet.engine INFO: Epoch: [216] [100/229] learning_rate: 0.071812 loss_vfl: 0.769516 loss_bbox: 0.294978 loss_dfl: 0.194037 loss: 1.270173 eta: 11:43:11 batch_cost: 2.1435 data_cost: 0.0047 ips: 29.8581 images/s [10/18 12:42:39] ppdet.engine INFO: Epoch: [216] [120/229] learning_rate: 0.071671 loss_vfl: 0.768120 loss_bbox: 0.298573 loss_dfl: 0.189488 loss: 1.262100 eta: 11:42:27 batch_cost: 2.1781 data_cost: 0.0055 ips: 29.3838 images/s [10/18 12:43:26] ppdet.engine INFO: Epoch: [216] [140/229] learning_rate: 0.071531 loss_vfl: 0.779084 loss_bbox: 0.311340 loss_dfl: 0.188455 loss: 1.273721 eta: 11:41:42 batch_cost: 2.1630 data_cost: 0.0030 ips: 29.5886 images/s [10/18 12:44:15] ppdet.engine INFO: Epoch: [216] [160/229] learning_rate: 0.071391 loss_vfl: 0.789539 loss_bbox: 0.290058 loss_dfl: 0.191366 loss: 1.282922 eta: 11:40:58 batch_cost: 2.2114 data_cost: 0.0039 ips: 28.9407 images/s [10/18 12:45:01] ppdet.engine INFO: Epoch: [216] [180/229] learning_rate: 0.071251 loss_vfl: 0.764306 loss_bbox: 0.319624 loss_dfl: 0.208691 loss: 1.276243 eta: 11:40:13 batch_cost: 2.0512 data_cost: 0.0068 ips: 31.2012 images/s [10/18 12:45:47] ppdet.engine INFO: Epoch: [216] [200/229] learning_rate: 0.071111 loss_vfl: 0.786681 loss_bbox: 0.288718 loss_dfl: 0.188508 loss: 1.260665 eta: 11:39:28 batch_cost: 2.0221 data_cost: 0.0030 ips: 31.6495 images/s [10/18 12:46:26] ppdet.engine INFO: Epoch: [216] [220/229] learning_rate: 0.070971 loss_vfl: 0.776684 loss_bbox: 0.289630 loss_dfl: 0.185807 loss: 1.243788 eta: 11:38:40 batch_cost: 1.7755 data_cost: 0.0031 ips: 36.0471 images/s [10/18 12:47:07] ppdet.engine INFO: Epoch: [217] [ 0/229] learning_rate: 0.070908 loss_vfl: 0.780681 loss_bbox: 0.296051 loss_dfl: 0.185104 loss: 1.244248 eta: 11:38:27 batch_cost: 2.6318 data_cost: 0.8898 ips: 24.3178 images/s [10/18 12:47:56] ppdet.engine INFO: Epoch: [217] [ 20/229] learning_rate: 0.070769 loss_vfl: 0.762746 loss_bbox: 0.307519 loss_dfl: 0.196558 loss: 1.255980 eta: 11:37:43 batch_cost: 2.2820 data_cost: 0.0032 ips: 28.0454 images/s [10/18 12:48:43] ppdet.engine INFO: Epoch: [217] [ 40/229] learning_rate: 0.070629 loss_vfl: 0.774956 loss_bbox: 0.285656 loss_dfl: 0.185696 loss: 1.271090 eta: 11:36:59 batch_cost: 2.2129 data_cost: 0.0038 ips: 28.9208 images/s [10/18 12:49:30] ppdet.engine INFO: Epoch: [217] [ 60/229] learning_rate: 0.070490 loss_vfl: 0.772008 loss_bbox: 0.284640 loss_dfl: 0.188925 loss: 1.230718 eta: 11:36:15 batch_cost: 2.1522 data_cost: 0.0059 ips: 29.7370 images/s [10/18 12:50:17] ppdet.engine INFO: Epoch: [217] [ 80/229] learning_rate: 0.070350 loss_vfl: 0.770301 loss_bbox: 0.275390 loss_dfl: 0.174259 loss: 1.222624 eta: 11:35:30 batch_cost: 2.1535 data_cost: 0.0036 ips: 29.7191 images/s [10/18 12:51:05] ppdet.engine INFO: Epoch: [217] [100/229] learning_rate: 0.070211 loss_vfl: 0.768227 loss_bbox: 0.295712 loss_dfl: 0.193506 loss: 1.255207 eta: 11:34:46 batch_cost: 2.1563 data_cost: 0.0052 ips: 29.6801 images/s [10/18 12:51:51] ppdet.engine INFO: Epoch: [217] [120/229] learning_rate: 0.070072 loss_vfl: 0.767262 loss_bbox: 0.303643 loss_dfl: 0.194344 loss: 1.271898 eta: 11:34:01 batch_cost: 2.1686 data_cost: 0.0048 ips: 29.5122 images/s [10/18 12:52:37] ppdet.engine INFO: Epoch: [217] [140/229] learning_rate: 0.069933 loss_vfl: 0.762089 loss_bbox: 0.292999 loss_dfl: 0.184374 loss: 1.211096 eta: 11:33:17 batch_cost: 2.1626 data_cost: 0.0053 ips: 29.5936 images/s [10/18 12:53:25] ppdet.engine INFO: Epoch: [217] [160/229] learning_rate: 0.069794 loss_vfl: 0.776430 loss_bbox: 0.283762 loss_dfl: 0.187088 loss: 1.244034 eta: 11:32:32 batch_cost: 2.1473 data_cost: 0.0047 ips: 29.8046 images/s [10/18 12:54:11] ppdet.engine INFO: Epoch: [217] [180/229] learning_rate: 0.069655 loss_vfl: 0.770064 loss_bbox: 0.293366 loss_dfl: 0.192829 loss: 1.266749 eta: 11:31:48 batch_cost: 2.1652 data_cost: 0.0065 ips: 29.5580 images/s [10/18 12:54:57] ppdet.engine INFO: Epoch: [217] [200/229] learning_rate: 0.069517 loss_vfl: 0.769054 loss_bbox: 0.288659 loss_dfl: 0.193898 loss: 1.222948 eta: 11:31:03 batch_cost: 2.1294 data_cost: 0.0022 ips: 30.0559 images/s [10/18 12:55:36] ppdet.engine INFO: Epoch: [217] [220/229] learning_rate: 0.069378 loss_vfl: 0.760721 loss_bbox: 0.290675 loss_dfl: 0.191318 loss: 1.257131 eta: 11:30:16 batch_cost: 1.7470 data_cost: 0.0015 ips: 36.6345 images/s [10/18 12:56:20] ppdet.engine INFO: Epoch: [218] [ 0/229] learning_rate: 0.069316 loss_vfl: 0.772834 loss_bbox: 0.283551 loss_dfl: 0.185577 loss: 1.260361 eta: 11:30:03 batch_cost: 2.7196 data_cost: 1.0255 ips: 23.5326 images/s [10/18 12:57:08] ppdet.engine INFO: Epoch: [218] [ 20/229] learning_rate: 0.069177 loss_vfl: 0.763058 loss_bbox: 0.297974 loss_dfl: 0.192158 loss: 1.267948 eta: 11:29:19 batch_cost: 2.2215 data_cost: 0.0029 ips: 28.8100 images/s [10/18 12:57:55] ppdet.engine INFO: Epoch: [218] [ 40/229] learning_rate: 0.069039 loss_vfl: 0.759826 loss_bbox: 0.276039 loss_dfl: 0.185297 loss: 1.216027 eta: 11:28:35 batch_cost: 2.1758 data_cost: 0.0042 ips: 29.4140 images/s [10/18 12:58:43] ppdet.engine INFO: Epoch: [218] [ 60/229] learning_rate: 0.068901 loss_vfl: 0.783493 loss_bbox: 0.271482 loss_dfl: 0.180018 loss: 1.220699 eta: 11:27:51 batch_cost: 2.2111 data_cost: 0.0036 ips: 28.9443 images/s [10/18 12:59:29] ppdet.engine INFO: Epoch: [218] [ 80/229] learning_rate: 0.068763 loss_vfl: 0.769656 loss_bbox: 0.300635 loss_dfl: 0.194180 loss: 1.263114 eta: 11:27:06 batch_cost: 2.1693 data_cost: 0.0047 ips: 29.5031 images/s [10/18 13:00:16] ppdet.engine INFO: Epoch: [218] [100/229] learning_rate: 0.068625 loss_vfl: 0.754981 loss_bbox: 0.303043 loss_dfl: 0.188415 loss: 1.232078 eta: 11:26:22 batch_cost: 2.1096 data_cost: 0.0044 ips: 30.3373 images/s [10/18 13:01:03] ppdet.engine INFO: Epoch: [218] [120/229] learning_rate: 0.068487 loss_vfl: 0.761683 loss_bbox: 0.288444 loss_dfl: 0.188695 loss: 1.244606 eta: 11:25:37 batch_cost: 2.1518 data_cost: 0.0063 ips: 29.7426 images/s [10/18 13:01:50] ppdet.engine INFO: Epoch: [218] [140/229] learning_rate: 0.068349 loss_vfl: 0.765109 loss_bbox: 0.275208 loss_dfl: 0.182923 loss: 1.234769 eta: 11:24:53 batch_cost: 2.1711 data_cost: 0.0036 ips: 29.4788 images/s [10/18 13:02:37] ppdet.engine INFO: Epoch: [218] [160/229] learning_rate: 0.068212 loss_vfl: 0.777587 loss_bbox: 0.284565 loss_dfl: 0.183628 loss: 1.245734 eta: 11:24:08 batch_cost: 2.1484 data_cost: 0.0029 ips: 29.7894 images/s [10/18 13:03:24] ppdet.engine INFO: Epoch: [218] [180/229] learning_rate: 0.068074 loss_vfl: 0.775346 loss_bbox: 0.290992 loss_dfl: 0.188459 loss: 1.260805 eta: 11:23:24 batch_cost: 2.1306 data_cost: 0.0018 ips: 30.0386 images/s [10/18 13:04:10] ppdet.engine INFO: Epoch: [218] [200/229] learning_rate: 0.067937 loss_vfl: 0.775843 loss_bbox: 0.319950 loss_dfl: 0.198352 loss: 1.283240 eta: 11:22:39 batch_cost: 2.1426 data_cost: 0.0037 ips: 29.8703 images/s [10/18 13:04:49] ppdet.engine INFO: Epoch: [218] [220/229] learning_rate: 0.067799 loss_vfl: 0.763086 loss_bbox: 0.291286 loss_dfl: 0.195213 loss: 1.257078 eta: 11:21:52 batch_cost: 1.7428 data_cost: 0.0042 ips: 36.7227 images/s [10/18 13:05:33] ppdet.engine INFO: Epoch: [219] [ 0/229] learning_rate: 0.067738 loss_vfl: 0.756231 loss_bbox: 0.303064 loss_dfl: 0.196360 loss: 1.257078 eta: 11:21:38 batch_cost: 2.6957 data_cost: 1.0626 ips: 23.7413 images/s [10/18 13:06:21] ppdet.engine INFO: Epoch: [219] [ 20/229] learning_rate: 0.067600 loss_vfl: 0.759974 loss_bbox: 0.308275 loss_dfl: 0.195048 loss: 1.258130 eta: 11:20:54 batch_cost: 2.1408 data_cost: 0.0041 ips: 29.8947 images/s [10/18 13:07:08] ppdet.engine INFO: Epoch: [219] [ 40/229] learning_rate: 0.067463 loss_vfl: 0.756899 loss_bbox: 0.297715 loss_dfl: 0.191615 loss: 1.249519 eta: 11:20:10 batch_cost: 2.2188 data_cost: 0.0038 ips: 28.8445 images/s [10/18 13:07:55] ppdet.engine INFO: Epoch: [219] [ 60/229] learning_rate: 0.067327 loss_vfl: 0.753653 loss_bbox: 0.282694 loss_dfl: 0.192690 loss: 1.230798 eta: 11:19:25 batch_cost: 2.1416 data_cost: 0.0041 ips: 29.8844 images/s [10/18 13:08:42] ppdet.engine INFO: Epoch: [219] [ 80/229] learning_rate: 0.067190 loss_vfl: 0.771922 loss_bbox: 0.293253 loss_dfl: 0.192176 loss: 1.223596 eta: 11:18:41 batch_cost: 2.1909 data_cost: 0.0035 ips: 29.2119 images/s [10/18 13:09:29] ppdet.engine INFO: Epoch: [219] [100/229] learning_rate: 0.067053 loss_vfl: 0.754714 loss_bbox: 0.287703 loss_dfl: 0.191524 loss: 1.246565 eta: 11:17:57 batch_cost: 2.1950 data_cost: 0.0058 ips: 29.1577 images/s [10/18 13:10:17] ppdet.engine INFO: Epoch: [219] [120/229] learning_rate: 0.066916 loss_vfl: 0.788413 loss_bbox: 0.296817 loss_dfl: 0.191906 loss: 1.268517 eta: 11:17:12 batch_cost: 2.1872 data_cost: 0.0036 ips: 29.2608 images/s [10/18 13:11:04] ppdet.engine INFO: Epoch: [219] [140/229] learning_rate: 0.066780 loss_vfl: 0.761205 loss_bbox: 0.291805 loss_dfl: 0.191804 loss: 1.235280 eta: 11:16:28 batch_cost: 2.2171 data_cost: 0.0045 ips: 28.8671 images/s [10/18 13:11:52] ppdet.engine INFO: Epoch: [219] [160/229] learning_rate: 0.066644 loss_vfl: 0.780431 loss_bbox: 0.290458 loss_dfl: 0.196578 loss: 1.271817 eta: 11:15:45 batch_cost: 2.2319 data_cost: 0.0040 ips: 28.6755 images/s [10/18 13:12:39] ppdet.engine INFO: Epoch: [219] [180/229] learning_rate: 0.066507 loss_vfl: 0.768192 loss_bbox: 0.280313 loss_dfl: 0.191430 loss: 1.233462 eta: 11:15:00 batch_cost: 2.1797 data_cost: 0.0043 ips: 29.3613 images/s [10/18 13:13:26] ppdet.engine INFO: Epoch: [219] [200/229] learning_rate: 0.066371 loss_vfl: 0.769449 loss_bbox: 0.295557 loss_dfl: 0.184268 loss: 1.246453 eta: 11:14:16 batch_cost: 2.2253 data_cost: 0.0071 ips: 28.7603 images/s [10/18 13:14:04] ppdet.engine INFO: Epoch: [219] [220/229] learning_rate: 0.066235 loss_vfl: 0.759125 loss_bbox: 0.278665 loss_dfl: 0.182645 loss: 1.214227 eta: 11:13:29 batch_cost: 1.7229 data_cost: 0.0027 ips: 37.1461 images/s [10/18 13:14:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 13:14:19] ppdet.engine INFO: Eval iter: 0 [10/18 13:14:59] ppdet.engine INFO: Eval iter: 100 [10/18 13:15:13] ppdet.engine INFO: Eval iter: 200 [10/18 13:15:28] ppdet.engine INFO: Eval iter: 300 [10/18 13:15:42] ppdet.engine INFO: Eval iter: 400 [10/18 13:15:57] ppdet.engine INFO: Eval iter: 500 [10/18 13:16:12] ppdet.engine INFO: Eval iter: 600 [10/18 13:16:24] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.51s) creating index... index created! [10/18 13:16:24] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.53s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.28s). Accumulating evaluation results... DONE (t=11.43s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.455 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.322 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 ] = 0.317 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.276 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.429 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.456 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 ] = 0.515 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.722 [10/18 13:17:44] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.16447805659433 [10/18 13:17:44] ppdet.engine INFO: Best test bbox ap is 0.307. [10/18 13:17:46] ppdet.engine INFO: Epoch: [220] [ 0/229] learning_rate: 0.066174 loss_vfl: 0.760686 loss_bbox: 0.298138 loss_dfl: 0.188790 loss: 1.243671 eta: 11:13:05 batch_cost: 1.2834 data_cost: 0.0011 ips: 49.8668 images/s [10/18 13:18:33] ppdet.engine INFO: Epoch: [220] [ 20/229] learning_rate: 0.066038 loss_vfl: 0.773944 loss_bbox: 0.292210 loss_dfl: 0.180907 loss: 1.248380 eta: 11:12:21 batch_cost: 2.1964 data_cost: 0.0029 ips: 29.1382 images/s [10/18 13:19:20] ppdet.engine INFO: Epoch: [220] [ 40/229] learning_rate: 0.065902 loss_vfl: 0.771292 loss_bbox: 0.302175 loss_dfl: 0.196486 loss: 1.295733 eta: 11:11:37 batch_cost: 2.1692 data_cost: 0.0040 ips: 29.5041 images/s [10/18 13:20:07] ppdet.engine INFO: Epoch: [220] [ 60/229] learning_rate: 0.065767 loss_vfl: 0.758445 loss_bbox: 0.310631 loss_dfl: 0.201548 loss: 1.261918 eta: 11:10:52 batch_cost: 2.1155 data_cost: 0.0059 ips: 30.2526 images/s [10/18 13:20:52] ppdet.engine INFO: Epoch: [220] [ 80/229] learning_rate: 0.065631 loss_vfl: 0.751363 loss_bbox: 0.291701 loss_dfl: 0.191029 loss: 1.237424 eta: 11:10:07 batch_cost: 2.1076 data_cost: 0.0019 ips: 30.3664 images/s [10/18 13:21:39] ppdet.engine INFO: Epoch: [220] [100/229] learning_rate: 0.065496 loss_vfl: 0.769366 loss_bbox: 0.301757 loss_dfl: 0.189709 loss: 1.271185 eta: 11:09:22 batch_cost: 2.0801 data_cost: 0.0058 ips: 30.7683 images/s [10/18 13:22:26] ppdet.engine INFO: Epoch: [220] [120/229] learning_rate: 0.065360 loss_vfl: 0.768130 loss_bbox: 0.292104 loss_dfl: 0.187858 loss: 1.243303 eta: 11:08:38 batch_cost: 2.1518 data_cost: 0.0073 ips: 29.7425 images/s [10/18 13:23:13] ppdet.engine INFO: Epoch: [220] [140/229] learning_rate: 0.065225 loss_vfl: 0.765697 loss_bbox: 0.301149 loss_dfl: 0.197229 loss: 1.282333 eta: 11:07:53 batch_cost: 2.1566 data_cost: 0.0069 ips: 29.6764 images/s [10/18 13:24:00] ppdet.engine INFO: Epoch: [220] [160/229] learning_rate: 0.065090 loss_vfl: 0.767165 loss_bbox: 0.304928 loss_dfl: 0.194288 loss: 1.253675 eta: 11:07:09 batch_cost: 2.1797 data_cost: 0.0048 ips: 29.3612 images/s [10/18 13:24:47] ppdet.engine INFO: Epoch: [220] [180/229] learning_rate: 0.064955 loss_vfl: 0.779915 loss_bbox: 0.281100 loss_dfl: 0.186623 loss: 1.246191 eta: 11:06:25 batch_cost: 2.1518 data_cost: 0.0050 ips: 29.7425 images/s [10/18 13:25:34] ppdet.engine INFO: Epoch: [220] [200/229] learning_rate: 0.064820 loss_vfl: 0.780697 loss_bbox: 0.284295 loss_dfl: 0.186022 loss: 1.242635 eta: 11:05:40 batch_cost: 2.1359 data_cost: 0.0022 ips: 29.9635 images/s [10/18 13:26:12] ppdet.engine INFO: Epoch: [220] [220/229] learning_rate: 0.064685 loss_vfl: 0.761963 loss_bbox: 0.289155 loss_dfl: 0.195616 loss: 1.261997 eta: 11:04:53 batch_cost: 1.7767 data_cost: 0.0015 ips: 36.0212 images/s [10/18 13:26:53] ppdet.engine INFO: Epoch: [221] [ 0/229] learning_rate: 0.064625 loss_vfl: 0.774127 loss_bbox: 0.290626 loss_dfl: 0.193605 loss: 1.272059 eta: 11:04:39 batch_cost: 2.6027 data_cost: 0.9804 ips: 24.5903 images/s [10/18 13:27:41] ppdet.engine INFO: Epoch: [221] [ 20/229] learning_rate: 0.064490 loss_vfl: 0.765552 loss_bbox: 0.300473 loss_dfl: 0.194312 loss: 1.248170 eta: 11:03:55 batch_cost: 2.2067 data_cost: 0.0022 ips: 29.0020 images/s [10/18 13:28:30] ppdet.engine INFO: Epoch: [221] [ 40/229] learning_rate: 0.064356 loss_vfl: 0.762913 loss_bbox: 0.288007 loss_dfl: 0.187875 loss: 1.246071 eta: 11:03:11 batch_cost: 2.2219 data_cost: 0.0035 ips: 28.8040 images/s [10/18 13:29:16] ppdet.engine INFO: Epoch: [221] [ 60/229] learning_rate: 0.064221 loss_vfl: 0.757604 loss_bbox: 0.289777 loss_dfl: 0.202176 loss: 1.250420 eta: 11:02:26 batch_cost: 2.1503 data_cost: 0.0045 ips: 29.7626 images/s [10/18 13:30:04] ppdet.engine INFO: Epoch: [221] [ 80/229] learning_rate: 0.064087 loss_vfl: 0.768388 loss_bbox: 0.302054 loss_dfl: 0.188846 loss: 1.260226 eta: 11:01:42 batch_cost: 2.1719 data_cost: 0.0033 ips: 29.4671 images/s [10/18 13:30:50] ppdet.engine INFO: Epoch: [221] [100/229] learning_rate: 0.063953 loss_vfl: 0.781810 loss_bbox: 0.291852 loss_dfl: 0.195193 loss: 1.267469 eta: 11:00:57 batch_cost: 2.1448 data_cost: 0.0020 ips: 29.8397 images/s [10/18 13:31:38] ppdet.engine INFO: Epoch: [221] [120/229] learning_rate: 0.063819 loss_vfl: 0.754150 loss_bbox: 0.290546 loss_dfl: 0.191112 loss: 1.232510 eta: 11:00:13 batch_cost: 2.1618 data_cost: 0.0043 ips: 29.6048 images/s [10/18 13:32:25] ppdet.engine INFO: Epoch: [221] [140/229] learning_rate: 0.063685 loss_vfl: 0.774268 loss_bbox: 0.285454 loss_dfl: 0.193368 loss: 1.273830 eta: 10:59:29 batch_cost: 2.1931 data_cost: 0.0034 ips: 29.1823 images/s [10/18 13:33:12] ppdet.engine INFO: Epoch: [221] [160/229] learning_rate: 0.063551 loss_vfl: 0.760470 loss_bbox: 0.309558 loss_dfl: 0.196502 loss: 1.270189 eta: 10:58:45 batch_cost: 2.1759 data_cost: 0.0049 ips: 29.4128 images/s [10/18 13:33:59] ppdet.engine INFO: Epoch: [221] [180/229] learning_rate: 0.063418 loss_vfl: 0.761895 loss_bbox: 0.302528 loss_dfl: 0.189639 loss: 1.262081 eta: 10:58:00 batch_cost: 2.1537 data_cost: 0.0040 ips: 29.7158 images/s [10/18 13:34:45] ppdet.engine INFO: Epoch: [221] [200/229] learning_rate: 0.063284 loss_vfl: 0.766100 loss_bbox: 0.300622 loss_dfl: 0.192903 loss: 1.262433 eta: 10:57:16 batch_cost: 2.1461 data_cost: 0.0042 ips: 29.8220 images/s [10/18 13:35:23] ppdet.engine INFO: Epoch: [221] [220/229] learning_rate: 0.063151 loss_vfl: 0.772321 loss_bbox: 0.288552 loss_dfl: 0.195063 loss: 1.251726 eta: 10:56:28 batch_cost: 1.7337 data_cost: 0.0031 ips: 36.9159 images/s [10/18 13:36:05] ppdet.engine INFO: Epoch: [222] [ 0/229] learning_rate: 0.063091 loss_vfl: 0.774740 loss_bbox: 0.278531 loss_dfl: 0.188091 loss: 1.238726 eta: 10:56:14 batch_cost: 2.5782 data_cost: 0.8137 ips: 24.8234 images/s [10/18 13:36:54] ppdet.engine INFO: Epoch: [222] [ 20/229] learning_rate: 0.062957 loss_vfl: 0.777141 loss_bbox: 0.284881 loss_dfl: 0.193303 loss: 1.264719 eta: 10:55:30 batch_cost: 2.2420 data_cost: 0.0032 ips: 28.5456 images/s [10/18 13:37:41] ppdet.engine INFO: Epoch: [222] [ 40/229] learning_rate: 0.062824 loss_vfl: 0.771078 loss_bbox: 0.286060 loss_dfl: 0.183803 loss: 1.227358 eta: 10:54:46 batch_cost: 2.1530 data_cost: 0.0042 ips: 29.7265 images/s [10/18 13:38:29] ppdet.engine INFO: Epoch: [222] [ 60/229] learning_rate: 0.062691 loss_vfl: 0.770609 loss_bbox: 0.287594 loss_dfl: 0.187841 loss: 1.257004 eta: 10:54:02 batch_cost: 2.2286 data_cost: 0.0043 ips: 28.7180 images/s [10/18 13:39:17] ppdet.engine INFO: Epoch: [222] [ 80/229] learning_rate: 0.062558 loss_vfl: 0.763703 loss_bbox: 0.289456 loss_dfl: 0.186286 loss: 1.239058 eta: 10:53:18 batch_cost: 2.1985 data_cost: 0.0043 ips: 29.1112 images/s [10/18 13:40:03] ppdet.engine INFO: Epoch: [222] [100/229] learning_rate: 0.062425 loss_vfl: 0.756975 loss_bbox: 0.291959 loss_dfl: 0.184849 loss: 1.228797 eta: 10:52:33 batch_cost: 2.1395 data_cost: 0.0053 ips: 29.9138 images/s [10/18 13:40:51] ppdet.engine INFO: Epoch: [222] [120/229] learning_rate: 0.062293 loss_vfl: 0.764744 loss_bbox: 0.294359 loss_dfl: 0.193854 loss: 1.250113 eta: 10:51:49 batch_cost: 2.2276 data_cost: 0.0058 ips: 28.7307 images/s [10/18 13:41:40] ppdet.engine INFO: Epoch: [222] [140/229] learning_rate: 0.062160 loss_vfl: 0.756818 loss_bbox: 0.291473 loss_dfl: 0.182278 loss: 1.243528 eta: 10:51:06 batch_cost: 2.2747 data_cost: 0.0051 ips: 28.1359 images/s [10/18 13:42:28] ppdet.engine INFO: Epoch: [222] [160/229] learning_rate: 0.062028 loss_vfl: 0.767426 loss_bbox: 0.279339 loss_dfl: 0.182574 loss: 1.226880 eta: 10:50:22 batch_cost: 2.2065 data_cost: 0.0055 ips: 29.0058 images/s [10/18 13:43:14] ppdet.engine INFO: Epoch: [222] [180/229] learning_rate: 0.061895 loss_vfl: 0.752592 loss_bbox: 0.287358 loss_dfl: 0.190784 loss: 1.252864 eta: 10:49:37 batch_cost: 2.1791 data_cost: 0.0030 ips: 29.3700 images/s [10/18 13:44:02] ppdet.engine INFO: Epoch: [222] [200/229] learning_rate: 0.061763 loss_vfl: 0.769649 loss_bbox: 0.279150 loss_dfl: 0.181814 loss: 1.242060 eta: 10:48:53 batch_cost: 2.1860 data_cost: 0.0061 ips: 29.2778 images/s [10/18 13:44:40] ppdet.engine INFO: Epoch: [222] [220/229] learning_rate: 0.061631 loss_vfl: 0.781534 loss_bbox: 0.301059 loss_dfl: 0.193593 loss: 1.268172 eta: 10:48:06 batch_cost: 1.7948 data_cost: 0.0038 ips: 35.6577 images/s [10/18 13:45:25] ppdet.engine INFO: Epoch: [223] [ 0/229] learning_rate: 0.061571 loss_vfl: 0.774898 loss_bbox: 0.292032 loss_dfl: 0.192778 loss: 1.246315 eta: 10:47:53 batch_cost: 2.7415 data_cost: 1.0076 ips: 23.3453 images/s [10/18 13:46:12] ppdet.engine INFO: Epoch: [223] [ 20/229] learning_rate: 0.061439 loss_vfl: 0.742492 loss_bbox: 0.307505 loss_dfl: 0.201508 loss: 1.240333 eta: 10:47:09 batch_cost: 2.1505 data_cost: 0.0047 ips: 29.7600 images/s [10/18 13:46:59] ppdet.engine INFO: Epoch: [223] [ 40/229] learning_rate: 0.061308 loss_vfl: 0.777093 loss_bbox: 0.300113 loss_dfl: 0.191140 loss: 1.265842 eta: 10:46:24 batch_cost: 2.1791 data_cost: 0.0030 ips: 29.3694 images/s [10/18 13:47:46] ppdet.engine INFO: Epoch: [223] [ 60/229] learning_rate: 0.061176 loss_vfl: 0.749560 loss_bbox: 0.265627 loss_dfl: 0.176612 loss: 1.184792 eta: 10:45:40 batch_cost: 2.1957 data_cost: 0.0028 ips: 29.1474 images/s [10/18 13:48:34] ppdet.engine INFO: Epoch: [223] [ 80/229] learning_rate: 0.061044 loss_vfl: 0.751010 loss_bbox: 0.279813 loss_dfl: 0.190564 loss: 1.223263 eta: 10:44:56 batch_cost: 2.2287 data_cost: 0.0044 ips: 28.7162 images/s [10/18 13:49:21] ppdet.engine INFO: Epoch: [223] [100/229] learning_rate: 0.060913 loss_vfl: 0.754993 loss_bbox: 0.288006 loss_dfl: 0.181585 loss: 1.218671 eta: 10:44:12 batch_cost: 2.1917 data_cost: 0.0032 ips: 29.2007 images/s [10/18 13:50:09] ppdet.engine INFO: Epoch: [223] [120/229] learning_rate: 0.060781 loss_vfl: 0.772655 loss_bbox: 0.290971 loss_dfl: 0.193303 loss: 1.254889 eta: 10:43:27 batch_cost: 2.1185 data_cost: 0.0037 ips: 30.2101 images/s [10/18 13:50:57] ppdet.engine INFO: Epoch: [223] [140/229] learning_rate: 0.060650 loss_vfl: 0.770021 loss_bbox: 0.293472 loss_dfl: 0.195149 loss: 1.229398 eta: 10:42:44 batch_cost: 2.2733 data_cost: 0.0035 ips: 28.1534 images/s [10/18 13:51:44] ppdet.engine INFO: Epoch: [223] [160/229] learning_rate: 0.060519 loss_vfl: 0.755840 loss_bbox: 0.305490 loss_dfl: 0.189980 loss: 1.260270 eta: 10:41:59 batch_cost: 2.1774 data_cost: 0.0029 ips: 29.3925 images/s [10/18 13:52:30] ppdet.engine INFO: Epoch: [223] [180/229] learning_rate: 0.060388 loss_vfl: 0.765359 loss_bbox: 0.292503 loss_dfl: 0.190738 loss: 1.244291 eta: 10:41:15 batch_cost: 2.1323 data_cost: 0.0024 ips: 30.0139 images/s [10/18 13:53:16] ppdet.engine INFO: Epoch: [223] [200/229] learning_rate: 0.060257 loss_vfl: 0.769854 loss_bbox: 0.299110 loss_dfl: 0.190927 loss: 1.266779 eta: 10:40:30 batch_cost: 2.1024 data_cost: 0.0055 ips: 30.4419 images/s [10/18 13:53:54] ppdet.engine INFO: Epoch: [223] [220/229] learning_rate: 0.060126 loss_vfl: 0.772260 loss_bbox: 0.290429 loss_dfl: 0.187909 loss: 1.245826 eta: 10:39:43 batch_cost: 1.7815 data_cost: 0.0022 ips: 35.9239 images/s [10/18 13:54:40] ppdet.engine INFO: Epoch: [224] [ 0/229] learning_rate: 0.060067 loss_vfl: 0.767211 loss_bbox: 0.283745 loss_dfl: 0.183624 loss: 1.232517 eta: 10:39:30 batch_cost: 2.8477 data_cost: 1.2877 ips: 22.4744 images/s [10/18 13:55:26] ppdet.engine INFO: Epoch: [224] [ 20/229] learning_rate: 0.059937 loss_vfl: 0.755127 loss_bbox: 0.283848 loss_dfl: 0.187106 loss: 1.225385 eta: 10:38:46 batch_cost: 2.1453 data_cost: 0.0019 ips: 29.8330 images/s [10/18 13:56:14] ppdet.engine INFO: Epoch: [224] [ 40/229] learning_rate: 0.059806 loss_vfl: 0.783780 loss_bbox: 0.289082 loss_dfl: 0.194359 loss: 1.256012 eta: 10:38:01 batch_cost: 2.1643 data_cost: 0.0043 ips: 29.5708 images/s [10/18 13:57:02] ppdet.engine INFO: Epoch: [224] [ 60/229] learning_rate: 0.059676 loss_vfl: 0.770551 loss_bbox: 0.279660 loss_dfl: 0.186052 loss: 1.255064 eta: 10:37:17 batch_cost: 2.1784 data_cost: 0.0025 ips: 29.3796 images/s [10/18 13:57:49] ppdet.engine INFO: Epoch: [224] [ 80/229] learning_rate: 0.059546 loss_vfl: 0.764948 loss_bbox: 0.308877 loss_dfl: 0.192335 loss: 1.235813 eta: 10:36:33 batch_cost: 2.1892 data_cost: 0.0025 ips: 29.2340 images/s [10/18 13:58:36] ppdet.engine INFO: Epoch: [224] [100/229] learning_rate: 0.059415 loss_vfl: 0.760159 loss_bbox: 0.290547 loss_dfl: 0.193754 loss: 1.231871 eta: 10:35:49 batch_cost: 2.2168 data_cost: 0.0042 ips: 28.8699 images/s [10/18 13:59:23] ppdet.engine INFO: Epoch: [224] [120/229] learning_rate: 0.059285 loss_vfl: 0.762428 loss_bbox: 0.310754 loss_dfl: 0.189735 loss: 1.258630 eta: 10:35:05 batch_cost: 2.1541 data_cost: 0.0024 ips: 29.7104 images/s [10/18 14:00:10] ppdet.engine INFO: Epoch: [224] [140/229] learning_rate: 0.059155 loss_vfl: 0.769477 loss_bbox: 0.280650 loss_dfl: 0.187965 loss: 1.236486 eta: 10:34:20 batch_cost: 2.1930 data_cost: 0.0029 ips: 29.1840 images/s [10/18 14:00:56] ppdet.engine INFO: Epoch: [224] [160/229] learning_rate: 0.059026 loss_vfl: 0.756150 loss_bbox: 0.290160 loss_dfl: 0.190767 loss: 1.233002 eta: 10:33:36 batch_cost: 2.0990 data_cost: 0.0028 ips: 30.4912 images/s [10/18 14:01:42] ppdet.engine INFO: Epoch: [224] [180/229] learning_rate: 0.058896 loss_vfl: 0.765873 loss_bbox: 0.301506 loss_dfl: 0.190337 loss: 1.263602 eta: 10:32:51 batch_cost: 2.1371 data_cost: 0.0017 ips: 29.9477 images/s [10/18 14:02:28] ppdet.engine INFO: Epoch: [224] [200/229] learning_rate: 0.058766 loss_vfl: 0.767655 loss_bbox: 0.274738 loss_dfl: 0.184590 loss: 1.221195 eta: 10:32:06 batch_cost: 2.0904 data_cost: 0.0058 ips: 30.6164 images/s [10/18 14:03:07] ppdet.engine INFO: Epoch: [224] [220/229] learning_rate: 0.058637 loss_vfl: 0.753473 loss_bbox: 0.282308 loss_dfl: 0.188403 loss: 1.237132 eta: 10:31:19 batch_cost: 1.8122 data_cost: 0.0065 ips: 35.3153 images/s [10/18 14:03:50] ppdet.engine INFO: Epoch: [225] [ 0/229] learning_rate: 0.058579 loss_vfl: 0.763504 loss_bbox: 0.285014 loss_dfl: 0.193017 loss: 1.229982 eta: 10:31:05 batch_cost: 2.6490 data_cost: 0.7558 ips: 24.1598 images/s [10/18 14:04:38] ppdet.engine INFO: Epoch: [225] [ 20/229] learning_rate: 0.058449 loss_vfl: 0.767520 loss_bbox: 0.295083 loss_dfl: 0.191906 loss: 1.245764 eta: 10:30:21 batch_cost: 2.1985 data_cost: 0.0029 ips: 29.1102 images/s [10/18 14:05:26] ppdet.engine INFO: Epoch: [225] [ 40/229] learning_rate: 0.058320 loss_vfl: 0.749111 loss_bbox: 0.287195 loss_dfl: 0.191917 loss: 1.234170 eta: 10:29:37 batch_cost: 2.2204 data_cost: 0.0082 ips: 28.8236 images/s [10/18 14:06:14] ppdet.engine INFO: Epoch: [225] [ 60/229] learning_rate: 0.058191 loss_vfl: 0.785244 loss_bbox: 0.287965 loss_dfl: 0.193007 loss: 1.262319 eta: 10:28:53 batch_cost: 2.2279 data_cost: 0.0047 ips: 28.7272 images/s [10/18 14:07:01] ppdet.engine INFO: Epoch: [225] [ 80/229] learning_rate: 0.058062 loss_vfl: 0.752726 loss_bbox: 0.288133 loss_dfl: 0.189919 loss: 1.232389 eta: 10:28:09 batch_cost: 2.1567 data_cost: 0.0056 ips: 29.6750 images/s [10/18 14:07:48] ppdet.engine INFO: Epoch: [225] [100/229] learning_rate: 0.057933 loss_vfl: 0.772337 loss_bbox: 0.289749 loss_dfl: 0.190570 loss: 1.248209 eta: 10:27:24 batch_cost: 2.1566 data_cost: 0.0045 ips: 29.6764 images/s [10/18 14:08:36] ppdet.engine INFO: Epoch: [225] [120/229] learning_rate: 0.057805 loss_vfl: 0.763773 loss_bbox: 0.286603 loss_dfl: 0.186843 loss: 1.233683 eta: 10:26:40 batch_cost: 2.2426 data_cost: 0.0036 ips: 28.5377 images/s [10/18 14:09:23] ppdet.engine INFO: Epoch: [225] [140/229] learning_rate: 0.057676 loss_vfl: 0.764241 loss_bbox: 0.287612 loss_dfl: 0.190459 loss: 1.258179 eta: 10:25:56 batch_cost: 2.1368 data_cost: 0.0024 ips: 29.9513 images/s [10/18 14:10:10] ppdet.engine INFO: Epoch: [225] [160/229] learning_rate: 0.057548 loss_vfl: 0.762139 loss_bbox: 0.293671 loss_dfl: 0.189747 loss: 1.250189 eta: 10:25:11 batch_cost: 2.0777 data_cost: 0.0027 ips: 30.8031 images/s [10/18 14:10:57] ppdet.engine INFO: Epoch: [225] [180/229] learning_rate: 0.057419 loss_vfl: 0.774153 loss_bbox: 0.275612 loss_dfl: 0.181608 loss: 1.244385 eta: 10:24:27 batch_cost: 2.1925 data_cost: 0.0045 ips: 29.1901 images/s [10/18 14:11:44] ppdet.engine INFO: Epoch: [225] [200/229] learning_rate: 0.057291 loss_vfl: 0.767743 loss_bbox: 0.300001 loss_dfl: 0.197966 loss: 1.252688 eta: 10:23:42 batch_cost: 2.1683 data_cost: 0.0041 ips: 29.5158 images/s [10/18 14:12:23] ppdet.engine INFO: Epoch: [225] [220/229] learning_rate: 0.057163 loss_vfl: 0.775596 loss_bbox: 0.301088 loss_dfl: 0.196869 loss: 1.264950 eta: 10:22:55 batch_cost: 1.7394 data_cost: 0.0039 ips: 36.7950 images/s [10/18 14:13:05] ppdet.engine INFO: Epoch: [226] [ 0/229] learning_rate: 0.057105 loss_vfl: 0.768669 loss_bbox: 0.302112 loss_dfl: 0.200564 loss: 1.260431 eta: 10:22:41 batch_cost: 2.6829 data_cost: 0.9120 ips: 23.8546 images/s [10/18 14:13:53] ppdet.engine INFO: Epoch: [226] [ 20/229] learning_rate: 0.056978 loss_vfl: 0.772967 loss_bbox: 0.307000 loss_dfl: 0.199364 loss: 1.280477 eta: 10:21:58 batch_cost: 2.2879 data_cost: 0.0047 ips: 27.9731 images/s [10/18 14:14:41] ppdet.engine INFO: Epoch: [226] [ 40/229] learning_rate: 0.056850 loss_vfl: 0.746209 loss_bbox: 0.285574 loss_dfl: 0.185939 loss: 1.222895 eta: 10:21:13 batch_cost: 2.2079 data_cost: 0.0038 ips: 28.9874 images/s [10/18 14:15:28] ppdet.engine INFO: Epoch: [226] [ 60/229] learning_rate: 0.056722 loss_vfl: 0.756765 loss_bbox: 0.282275 loss_dfl: 0.182637 loss: 1.232030 eta: 10:20:29 batch_cost: 2.1164 data_cost: 0.0040 ips: 30.2400 images/s [10/18 14:16:15] ppdet.engine INFO: Epoch: [226] [ 80/229] learning_rate: 0.056595 loss_vfl: 0.761471 loss_bbox: 0.316628 loss_dfl: 0.205158 loss: 1.290643 eta: 10:19:45 batch_cost: 2.2213 data_cost: 0.0046 ips: 28.8124 images/s [10/18 14:17:03] ppdet.engine INFO: Epoch: [226] [100/229] learning_rate: 0.056467 loss_vfl: 0.769711 loss_bbox: 0.293494 loss_dfl: 0.184305 loss: 1.239890 eta: 10:19:01 batch_cost: 2.1865 data_cost: 0.0066 ips: 29.2710 images/s [10/18 14:17:50] ppdet.engine INFO: Epoch: [226] [120/229] learning_rate: 0.056340 loss_vfl: 0.761318 loss_bbox: 0.294140 loss_dfl: 0.193816 loss: 1.243262 eta: 10:18:17 batch_cost: 2.2248 data_cost: 0.0059 ips: 28.7662 images/s [10/18 14:18:38] ppdet.engine INFO: Epoch: [226] [140/229] learning_rate: 0.056213 loss_vfl: 0.762995 loss_bbox: 0.310932 loss_dfl: 0.200390 loss: 1.283335 eta: 10:17:32 batch_cost: 2.1714 data_cost: 0.0052 ips: 29.4737 images/s [10/18 14:19:24] ppdet.engine INFO: Epoch: [226] [160/229] learning_rate: 0.056085 loss_vfl: 0.763563 loss_bbox: 0.275784 loss_dfl: 0.177658 loss: 1.226453 eta: 10:16:48 batch_cost: 2.1500 data_cost: 0.0047 ips: 29.7670 images/s [10/18 14:20:10] ppdet.engine INFO: Epoch: [226] [180/229] learning_rate: 0.055958 loss_vfl: 0.752528 loss_bbox: 0.286409 loss_dfl: 0.196393 loss: 1.244968 eta: 10:16:03 batch_cost: 2.0729 data_cost: 0.0062 ips: 30.8754 images/s [10/18 14:20:56] ppdet.engine INFO: Epoch: [226] [200/229] learning_rate: 0.055832 loss_vfl: 0.766476 loss_bbox: 0.274090 loss_dfl: 0.180190 loss: 1.225546 eta: 10:15:18 batch_cost: 2.1168 data_cost: 0.0060 ips: 30.2349 images/s [10/18 14:21:33] ppdet.engine INFO: Epoch: [226] [220/229] learning_rate: 0.055705 loss_vfl: 0.762800 loss_bbox: 0.292570 loss_dfl: 0.190095 loss: 1.229380 eta: 10:14:31 batch_cost: 1.7449 data_cost: 0.0038 ips: 36.6784 images/s [10/18 14:22:16] ppdet.engine INFO: Epoch: [227] [ 0/229] learning_rate: 0.055648 loss_vfl: 0.769662 loss_bbox: 0.279264 loss_dfl: 0.182322 loss: 1.229380 eta: 10:14:17 batch_cost: 2.6476 data_cost: 0.5718 ips: 24.1732 images/s [10/18 14:23:05] ppdet.engine INFO: Epoch: [227] [ 20/229] learning_rate: 0.055521 loss_vfl: 0.761621 loss_bbox: 0.290070 loss_dfl: 0.190321 loss: 1.247709 eta: 10:13:33 batch_cost: 2.2533 data_cost: 0.0040 ips: 28.4023 images/s [10/18 14:23:53] ppdet.engine INFO: Epoch: [227] [ 40/229] learning_rate: 0.055395 loss_vfl: 0.753323 loss_bbox: 0.290085 loss_dfl: 0.188279 loss: 1.223588 eta: 10:12:49 batch_cost: 2.2029 data_cost: 0.0026 ips: 29.0531 images/s [10/18 14:24:40] ppdet.engine INFO: Epoch: [227] [ 60/229] learning_rate: 0.055269 loss_vfl: 0.771470 loss_bbox: 0.298710 loss_dfl: 0.191323 loss: 1.268381 eta: 10:12:05 batch_cost: 2.1890 data_cost: 0.0047 ips: 29.2371 images/s [10/18 14:25:27] ppdet.engine INFO: Epoch: [227] [ 80/229] learning_rate: 0.055143 loss_vfl: 0.760269 loss_bbox: 0.315824 loss_dfl: 0.204526 loss: 1.261254 eta: 10:11:21 batch_cost: 2.1995 data_cost: 0.0036 ips: 29.0978 images/s [10/18 14:26:15] ppdet.engine INFO: Epoch: [227] [100/229] learning_rate: 0.055016 loss_vfl: 0.761895 loss_bbox: 0.287798 loss_dfl: 0.194031 loss: 1.258332 eta: 10:10:37 batch_cost: 2.2374 data_cost: 0.0043 ips: 28.6042 images/s [10/18 14:27:02] ppdet.engine INFO: Epoch: [227] [120/229] learning_rate: 0.054891 loss_vfl: 0.764004 loss_bbox: 0.300597 loss_dfl: 0.191157 loss: 1.246074 eta: 10:09:53 batch_cost: 2.1887 data_cost: 0.0038 ips: 29.2405 images/s [10/18 14:27:49] ppdet.engine INFO: Epoch: [227] [140/229] learning_rate: 0.054765 loss_vfl: 0.754404 loss_bbox: 0.297029 loss_dfl: 0.192054 loss: 1.240849 eta: 10:09:09 batch_cost: 2.2156 data_cost: 0.0039 ips: 28.8855 images/s [10/18 14:28:37] ppdet.engine INFO: Epoch: [227] [160/229] learning_rate: 0.054639 loss_vfl: 0.763464 loss_bbox: 0.286652 loss_dfl: 0.187222 loss: 1.242621 eta: 10:08:25 batch_cost: 2.2368 data_cost: 0.0062 ips: 28.6127 images/s [10/18 14:29:23] ppdet.engine INFO: Epoch: [227] [180/229] learning_rate: 0.054513 loss_vfl: 0.761330 loss_bbox: 0.293722 loss_dfl: 0.192578 loss: 1.252605 eta: 10:07:40 batch_cost: 2.1463 data_cost: 0.0055 ips: 29.8184 images/s [10/18 14:30:10] ppdet.engine INFO: Epoch: [227] [200/229] learning_rate: 0.054388 loss_vfl: 0.767588 loss_bbox: 0.273981 loss_dfl: 0.176784 loss: 1.215550 eta: 10:06:56 batch_cost: 2.1563 data_cost: 0.0036 ips: 29.6804 images/s [10/18 14:30:47] ppdet.engine INFO: Epoch: [227] [220/229] learning_rate: 0.054263 loss_vfl: 0.759685 loss_bbox: 0.289118 loss_dfl: 0.188965 loss: 1.234277 eta: 10:06:09 batch_cost: 1.7495 data_cost: 0.0017 ips: 36.5821 images/s [10/18 14:31:29] ppdet.engine INFO: Epoch: [228] [ 0/229] learning_rate: 0.054206 loss_vfl: 0.747387 loss_bbox: 0.284847 loss_dfl: 0.187561 loss: 1.203503 eta: 10:05:54 batch_cost: 2.6336 data_cost: 0.9345 ips: 24.3009 images/s [10/18 14:32:18] ppdet.engine INFO: Epoch: [228] [ 20/229] learning_rate: 0.054081 loss_vfl: 0.769376 loss_bbox: 0.295344 loss_dfl: 0.191168 loss: 1.251563 eta: 10:05:11 batch_cost: 2.3230 data_cost: 0.0047 ips: 27.5501 images/s [10/18 14:33:06] ppdet.engine INFO: Epoch: [228] [ 40/229] learning_rate: 0.053956 loss_vfl: 0.749430 loss_bbox: 0.288593 loss_dfl: 0.191262 loss: 1.231516 eta: 10:04:27 batch_cost: 2.2036 data_cost: 0.0053 ips: 29.0434 images/s [10/18 14:33:54] ppdet.engine INFO: Epoch: [228] [ 60/229] learning_rate: 0.053831 loss_vfl: 0.759265 loss_bbox: 0.298988 loss_dfl: 0.187992 loss: 1.241480 eta: 10:03:42 batch_cost: 2.1606 data_cost: 0.0047 ips: 29.6217 images/s [10/18 14:34:41] ppdet.engine INFO: Epoch: [228] [ 80/229] learning_rate: 0.053706 loss_vfl: 0.755859 loss_bbox: 0.291476 loss_dfl: 0.196800 loss: 1.250466 eta: 10:02:58 batch_cost: 2.0913 data_cost: 0.0066 ips: 30.6027 images/s [10/18 14:35:27] ppdet.engine INFO: Epoch: [228] [100/229] learning_rate: 0.053582 loss_vfl: 0.750495 loss_bbox: 0.303068 loss_dfl: 0.200628 loss: 1.250727 eta: 10:02:13 batch_cost: 2.0773 data_cost: 0.0021 ips: 30.8091 images/s [10/18 14:36:15] ppdet.engine INFO: Epoch: [228] [120/229] learning_rate: 0.053457 loss_vfl: 0.774450 loss_bbox: 0.304202 loss_dfl: 0.189976 loss: 1.268602 eta: 10:01:29 batch_cost: 2.1960 data_cost: 0.0060 ips: 29.1445 images/s [10/18 14:37:02] ppdet.engine INFO: Epoch: [228] [140/229] learning_rate: 0.053333 loss_vfl: 0.748455 loss_bbox: 0.270471 loss_dfl: 0.183950 loss: 1.205486 eta: 10:00:45 batch_cost: 2.2190 data_cost: 0.0049 ips: 28.8424 images/s [10/18 14:37:49] ppdet.engine INFO: Epoch: [228] [160/229] learning_rate: 0.053208 loss_vfl: 0.758382 loss_bbox: 0.312876 loss_dfl: 0.202829 loss: 1.278733 eta: 10:00:00 batch_cost: 2.1848 data_cost: 0.0030 ips: 29.2938 images/s [10/18 14:38:36] ppdet.engine INFO: Epoch: [228] [180/229] learning_rate: 0.053084 loss_vfl: 0.760920 loss_bbox: 0.278482 loss_dfl: 0.183615 loss: 1.232659 eta: 9:59:16 batch_cost: 2.1401 data_cost: 0.0058 ips: 29.9051 images/s [10/18 14:39:23] ppdet.engine INFO: Epoch: [228] [200/229] learning_rate: 0.052960 loss_vfl: 0.759960 loss_bbox: 0.295289 loss_dfl: 0.190975 loss: 1.252578 eta: 9:58:32 batch_cost: 2.1675 data_cost: 0.0035 ips: 29.5266 images/s [10/18 14:40:00] ppdet.engine INFO: Epoch: [228] [220/229] learning_rate: 0.052836 loss_vfl: 0.747097 loss_bbox: 0.272811 loss_dfl: 0.177311 loss: 1.208800 eta: 9:57:45 batch_cost: 1.7557 data_cost: 0.0045 ips: 36.4521 images/s [10/18 14:40:44] ppdet.engine INFO: Epoch: [229] [ 0/229] learning_rate: 0.052781 loss_vfl: 0.753347 loss_bbox: 0.294824 loss_dfl: 0.182679 loss: 1.226962 eta: 9:57:30 batch_cost: 2.6618 data_cost: 0.8483 ips: 24.0438 images/s [10/18 14:41:32] ppdet.engine INFO: Epoch: [229] [ 20/229] learning_rate: 0.052657 loss_vfl: 0.754146 loss_bbox: 0.317699 loss_dfl: 0.204183 loss: 1.273120 eta: 9:56:46 batch_cost: 2.2222 data_cost: 0.0053 ips: 28.8009 images/s [10/18 14:42:19] ppdet.engine INFO: Epoch: [229] [ 40/229] learning_rate: 0.052533 loss_vfl: 0.749683 loss_bbox: 0.308046 loss_dfl: 0.197125 loss: 1.252428 eta: 9:56:02 batch_cost: 2.1377 data_cost: 0.0035 ips: 29.9388 images/s [10/18 14:43:06] ppdet.engine INFO: Epoch: [229] [ 60/229] learning_rate: 0.052410 loss_vfl: 0.758287 loss_bbox: 0.284609 loss_dfl: 0.187075 loss: 1.235705 eta: 9:55:18 batch_cost: 2.2084 data_cost: 0.0023 ips: 28.9801 images/s [10/18 14:43:53] ppdet.engine INFO: Epoch: [229] [ 80/229] learning_rate: 0.052286 loss_vfl: 0.759881 loss_bbox: 0.286283 loss_dfl: 0.189783 loss: 1.240427 eta: 9:54:33 batch_cost: 2.1682 data_cost: 0.0048 ips: 29.5169 images/s [10/18 14:44:40] ppdet.engine INFO: Epoch: [229] [100/229] learning_rate: 0.052163 loss_vfl: 0.762920 loss_bbox: 0.285507 loss_dfl: 0.193310 loss: 1.249815 eta: 9:53:49 batch_cost: 2.1381 data_cost: 0.0025 ips: 29.9333 images/s [10/18 14:45:27] ppdet.engine INFO: Epoch: [229] [120/229] learning_rate: 0.052040 loss_vfl: 0.769171 loss_bbox: 0.296197 loss_dfl: 0.201502 loss: 1.256777 eta: 9:53:04 batch_cost: 2.0890 data_cost: 0.0027 ips: 30.6366 images/s [10/18 14:46:15] ppdet.engine INFO: Epoch: [229] [140/229] learning_rate: 0.051917 loss_vfl: 0.761734 loss_bbox: 0.292529 loss_dfl: 0.188022 loss: 1.232434 eta: 9:52:20 batch_cost: 2.2154 data_cost: 0.0044 ips: 28.8890 images/s [10/18 14:47:02] ppdet.engine INFO: Epoch: [229] [160/229] learning_rate: 0.051794 loss_vfl: 0.766137 loss_bbox: 0.282079 loss_dfl: 0.185163 loss: 1.239583 eta: 9:51:36 batch_cost: 2.1399 data_cost: 0.0062 ips: 29.9080 images/s [10/18 14:47:49] ppdet.engine INFO: Epoch: [229] [180/229] learning_rate: 0.051671 loss_vfl: 0.769305 loss_bbox: 0.286813 loss_dfl: 0.185602 loss: 1.248146 eta: 9:50:51 batch_cost: 2.1560 data_cost: 0.0039 ips: 29.6843 images/s [10/18 14:48:35] ppdet.engine INFO: Epoch: [229] [200/229] learning_rate: 0.051549 loss_vfl: 0.754199 loss_bbox: 0.307048 loss_dfl: 0.201152 loss: 1.260531 eta: 9:50:07 batch_cost: 2.1437 data_cost: 0.0045 ips: 29.8553 images/s [10/18 14:49:13] ppdet.engine INFO: Epoch: [229] [220/229] learning_rate: 0.051426 loss_vfl: 0.759266 loss_bbox: 0.300149 loss_dfl: 0.194633 loss: 1.241246 eta: 9:49:20 batch_cost: 1.7785 data_cost: 0.0022 ips: 35.9861 images/s [10/18 14:49:27] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 14:49:28] ppdet.engine INFO: Eval iter: 0 [10/18 14:50:08] ppdet.engine INFO: Eval iter: 100 [10/18 14:50:23] ppdet.engine INFO: Eval iter: 200 [10/18 14:50:37] ppdet.engine INFO: Eval iter: 300 [10/18 14:50:52] ppdet.engine INFO: Eval iter: 400 [10/18 14:51:07] ppdet.engine INFO: Eval iter: 500 [10/18 14:51:21] ppdet.engine INFO: Eval iter: 600 [10/18 14:51:33] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.50s) creating index... index created! [10/18 14:51:34] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.87s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=62.85s). Accumulating evaluation results... DONE (t=11.38s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.308 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.458 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.324 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096 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 ] = 0.526 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.277 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 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.721 [10/18 14:52:55] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.037098933680284 [10/18 14:52:55] ppdet.engine INFO: Best test bbox ap is 0.308. [10/18 14:52:55] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 14:52:56] ppdet.engine INFO: Epoch: [230] [ 0/229] learning_rate: 0.051371 loss_vfl: 0.767327 loss_bbox: 0.289482 loss_dfl: 0.186765 loss: 1.234177 eta: 9:48:57 batch_cost: 1.3139 data_cost: 0.0012 ips: 48.7104 images/s [10/18 14:53:43] ppdet.engine INFO: Epoch: [230] [ 20/229] learning_rate: 0.051249 loss_vfl: 0.763495 loss_bbox: 0.294854 loss_dfl: 0.186410 loss: 1.229964 eta: 9:48:13 batch_cost: 2.1175 data_cost: 0.0052 ips: 30.2249 images/s [10/18 14:54:30] ppdet.engine INFO: Epoch: [230] [ 40/229] learning_rate: 0.051126 loss_vfl: 0.754238 loss_bbox: 0.285884 loss_dfl: 0.188253 loss: 1.222647 eta: 9:47:28 batch_cost: 2.1522 data_cost: 0.0036 ips: 29.7371 images/s [10/18 14:55:18] ppdet.engine INFO: Epoch: [230] [ 60/229] learning_rate: 0.051004 loss_vfl: 0.754135 loss_bbox: 0.278516 loss_dfl: 0.189909 loss: 1.219619 eta: 9:46:44 batch_cost: 2.2058 data_cost: 0.0033 ips: 29.0143 images/s [10/18 14:56:04] ppdet.engine INFO: Epoch: [230] [ 80/229] learning_rate: 0.050882 loss_vfl: 0.774559 loss_bbox: 0.282897 loss_dfl: 0.185145 loss: 1.236456 eta: 9:45:59 batch_cost: 2.0790 data_cost: 0.0023 ips: 30.7836 images/s [10/18 14:56:51] ppdet.engine INFO: Epoch: [230] [100/229] learning_rate: 0.050761 loss_vfl: 0.774677 loss_bbox: 0.292677 loss_dfl: 0.199351 loss: 1.269605 eta: 9:45:15 batch_cost: 2.2160 data_cost: 0.0029 ips: 28.8803 images/s [10/18 14:57:39] ppdet.engine INFO: Epoch: [230] [120/229] learning_rate: 0.050639 loss_vfl: 0.782160 loss_bbox: 0.285909 loss_dfl: 0.185269 loss: 1.258986 eta: 9:44:31 batch_cost: 2.1808 data_cost: 0.0068 ips: 29.3475 images/s [10/18 14:58:28] ppdet.engine INFO: Epoch: [230] [140/229] learning_rate: 0.050517 loss_vfl: 0.756032 loss_bbox: 0.283493 loss_dfl: 0.188986 loss: 1.237162 eta: 9:43:47 batch_cost: 2.2444 data_cost: 0.0029 ips: 28.5150 images/s [10/18 14:59:15] ppdet.engine INFO: Epoch: [230] [160/229] learning_rate: 0.050396 loss_vfl: 0.740708 loss_bbox: 0.281812 loss_dfl: 0.186070 loss: 1.226557 eta: 9:43:03 batch_cost: 2.1820 data_cost: 0.0031 ips: 29.3304 images/s [10/18 15:00:02] ppdet.engine INFO: Epoch: [230] [180/229] learning_rate: 0.050275 loss_vfl: 0.767588 loss_bbox: 0.291389 loss_dfl: 0.186960 loss: 1.245174 eta: 9:42:19 batch_cost: 2.1684 data_cost: 0.0045 ips: 29.5155 images/s [10/18 15:00:48] ppdet.engine INFO: Epoch: [230] [200/229] learning_rate: 0.050153 loss_vfl: 0.774590 loss_bbox: 0.287976 loss_dfl: 0.194189 loss: 1.235116 eta: 9:41:34 batch_cost: 2.0611 data_cost: 0.0029 ips: 31.0517 images/s [10/18 15:01:26] ppdet.engine INFO: Epoch: [230] [220/229] learning_rate: 0.050032 loss_vfl: 0.772182 loss_bbox: 0.281693 loss_dfl: 0.189440 loss: 1.246881 eta: 9:40:47 batch_cost: 1.7219 data_cost: 0.0021 ips: 37.1689 images/s [10/18 15:02:09] ppdet.engine INFO: Epoch: [231] [ 0/229] learning_rate: 0.049978 loss_vfl: 0.743778 loss_bbox: 0.281693 loss_dfl: 0.189522 loss: 1.222063 eta: 9:40:32 batch_cost: 2.7454 data_cost: 0.7292 ips: 23.3118 images/s [10/18 15:02:55] ppdet.engine INFO: Epoch: [231] [ 20/229] learning_rate: 0.049857 loss_vfl: 0.752693 loss_bbox: 0.277145 loss_dfl: 0.186213 loss: 1.206696 eta: 9:39:48 batch_cost: 2.1388 data_cost: 0.0031 ips: 29.9230 images/s [10/18 15:03:43] ppdet.engine INFO: Epoch: [231] [ 40/229] learning_rate: 0.049736 loss_vfl: 0.747790 loss_bbox: 0.277756 loss_dfl: 0.187023 loss: 1.214453 eta: 9:39:04 batch_cost: 2.1928 data_cost: 0.0035 ips: 29.1869 images/s [10/18 15:04:29] ppdet.engine INFO: Epoch: [231] [ 60/229] learning_rate: 0.049615 loss_vfl: 0.759465 loss_bbox: 0.274791 loss_dfl: 0.185214 loss: 1.236003 eta: 9:38:19 batch_cost: 2.1212 data_cost: 0.0030 ips: 30.1713 images/s [10/18 15:05:16] ppdet.engine INFO: Epoch: [231] [ 80/229] learning_rate: 0.049495 loss_vfl: 0.748155 loss_bbox: 0.301383 loss_dfl: 0.199029 loss: 1.283447 eta: 9:37:35 batch_cost: 2.1800 data_cost: 0.0024 ips: 29.3581 images/s [10/18 15:06:03] ppdet.engine INFO: Epoch: [231] [100/229] learning_rate: 0.049375 loss_vfl: 0.757850 loss_bbox: 0.300506 loss_dfl: 0.186769 loss: 1.226093 eta: 9:36:51 batch_cost: 2.1729 data_cost: 0.0045 ips: 29.4534 images/s [10/18 15:06:50] ppdet.engine INFO: Epoch: [231] [120/229] learning_rate: 0.049254 loss_vfl: 0.765797 loss_bbox: 0.281724 loss_dfl: 0.183307 loss: 1.221838 eta: 9:36:06 batch_cost: 2.1346 data_cost: 0.0036 ips: 29.9819 images/s [10/18 15:07:38] ppdet.engine INFO: Epoch: [231] [140/229] learning_rate: 0.049134 loss_vfl: 0.758332 loss_bbox: 0.280482 loss_dfl: 0.193987 loss: 1.224711 eta: 9:35:22 batch_cost: 2.1863 data_cost: 0.0046 ips: 29.2726 images/s [10/18 15:08:24] ppdet.engine INFO: Epoch: [231] [160/229] learning_rate: 0.049014 loss_vfl: 0.760296 loss_bbox: 0.299360 loss_dfl: 0.197808 loss: 1.257966 eta: 9:34:38 batch_cost: 2.1536 data_cost: 0.0042 ips: 29.7173 images/s [10/18 15:09:10] ppdet.engine INFO: Epoch: [231] [180/229] learning_rate: 0.048894 loss_vfl: 0.738456 loss_bbox: 0.302321 loss_dfl: 0.194337 loss: 1.239954 eta: 9:33:53 batch_cost: 2.0810 data_cost: 0.0046 ips: 30.7544 images/s [10/18 15:09:55] ppdet.engine INFO: Epoch: [231] [200/229] learning_rate: 0.048774 loss_vfl: 0.755807 loss_bbox: 0.281383 loss_dfl: 0.184910 loss: 1.226788 eta: 9:33:08 batch_cost: 2.1342 data_cost: 0.0030 ips: 29.9877 images/s [10/18 15:10:33] ppdet.engine INFO: Epoch: [231] [220/229] learning_rate: 0.048655 loss_vfl: 0.753509 loss_bbox: 0.289686 loss_dfl: 0.193611 loss: 1.256208 eta: 9:32:22 batch_cost: 1.7567 data_cost: 0.0038 ips: 36.4310 images/s [10/18 15:11:17] ppdet.engine INFO: Epoch: [232] [ 0/229] learning_rate: 0.048601 loss_vfl: 0.775193 loss_bbox: 0.283358 loss_dfl: 0.192764 loss: 1.230495 eta: 9:32:07 batch_cost: 2.7505 data_cost: 0.9567 ips: 23.2686 images/s [10/18 15:12:05] ppdet.engine INFO: Epoch: [232] [ 20/229] learning_rate: 0.048482 loss_vfl: 0.745004 loss_bbox: 0.292492 loss_dfl: 0.185204 loss: 1.232630 eta: 9:31:23 batch_cost: 2.1964 data_cost: 0.0033 ips: 29.1386 images/s [10/18 15:12:52] ppdet.engine INFO: Epoch: [232] [ 40/229] learning_rate: 0.048362 loss_vfl: 0.753744 loss_bbox: 0.306953 loss_dfl: 0.205932 loss: 1.276365 eta: 9:30:39 batch_cost: 2.1787 data_cost: 0.0039 ips: 29.3751 images/s [10/18 15:13:39] ppdet.engine INFO: Epoch: [232] [ 60/229] learning_rate: 0.048243 loss_vfl: 0.753468 loss_bbox: 0.290092 loss_dfl: 0.191492 loss: 1.245450 eta: 9:29:54 batch_cost: 2.1042 data_cost: 0.0019 ips: 30.4147 images/s [10/18 15:14:26] ppdet.engine INFO: Epoch: [232] [ 80/229] learning_rate: 0.048124 loss_vfl: 0.753391 loss_bbox: 0.288352 loss_dfl: 0.183095 loss: 1.242422 eta: 9:29:10 batch_cost: 2.1889 data_cost: 0.0023 ips: 29.2384 images/s [10/18 15:15:13] ppdet.engine INFO: Epoch: [232] [100/229] learning_rate: 0.048005 loss_vfl: 0.759590 loss_bbox: 0.281603 loss_dfl: 0.185970 loss: 1.214530 eta: 9:28:26 batch_cost: 2.1649 data_cost: 0.0025 ips: 29.5630 images/s [10/18 15:16:00] ppdet.engine INFO: Epoch: [232] [120/229] learning_rate: 0.047886 loss_vfl: 0.747137 loss_bbox: 0.284106 loss_dfl: 0.187582 loss: 1.222163 eta: 9:27:42 batch_cost: 2.1926 data_cost: 0.0074 ips: 29.1889 images/s [10/18 15:16:47] ppdet.engine INFO: Epoch: [232] [140/229] learning_rate: 0.047767 loss_vfl: 0.735054 loss_bbox: 0.290823 loss_dfl: 0.182765 loss: 1.217012 eta: 9:26:57 batch_cost: 2.1565 data_cost: 0.0063 ips: 29.6776 images/s [10/18 15:17:34] ppdet.engine INFO: Epoch: [232] [160/229] learning_rate: 0.047649 loss_vfl: 0.757331 loss_bbox: 0.288290 loss_dfl: 0.183715 loss: 1.239883 eta: 9:26:13 batch_cost: 2.1898 data_cost: 0.0063 ips: 29.2258 images/s [10/18 15:18:21] ppdet.engine INFO: Epoch: [232] [180/229] learning_rate: 0.047530 loss_vfl: 0.758716 loss_bbox: 0.294594 loss_dfl: 0.196321 loss: 1.243264 eta: 9:25:29 batch_cost: 2.1130 data_cost: 0.0049 ips: 30.2890 images/s [10/18 15:19:08] ppdet.engine INFO: Epoch: [232] [200/229] learning_rate: 0.047412 loss_vfl: 0.738524 loss_bbox: 0.285147 loss_dfl: 0.185762 loss: 1.204203 eta: 9:24:45 batch_cost: 2.2133 data_cost: 0.0064 ips: 28.9157 images/s [10/18 15:19:46] ppdet.engine INFO: Epoch: [232] [220/229] learning_rate: 0.047294 loss_vfl: 0.772201 loss_bbox: 0.290484 loss_dfl: 0.187748 loss: 1.258477 eta: 9:23:58 batch_cost: 1.7262 data_cost: 0.0028 ips: 37.0753 images/s [10/18 15:20:30] ppdet.engine INFO: Epoch: [233] [ 0/229] learning_rate: 0.047241 loss_vfl: 0.767377 loss_bbox: 0.294681 loss_dfl: 0.191201 loss: 1.263088 eta: 9:23:44 batch_cost: 2.8023 data_cost: 1.1544 ips: 22.8385 images/s [10/18 15:21:18] ppdet.engine INFO: Epoch: [233] [ 20/229] learning_rate: 0.047123 loss_vfl: 0.758774 loss_bbox: 0.290086 loss_dfl: 0.184895 loss: 1.239824 eta: 9:23:00 batch_cost: 2.1946 data_cost: 0.0032 ips: 29.1630 images/s [10/18 15:22:06] ppdet.engine INFO: Epoch: [233] [ 40/229] learning_rate: 0.047005 loss_vfl: 0.752638 loss_bbox: 0.298856 loss_dfl: 0.199641 loss: 1.246314 eta: 9:22:15 batch_cost: 2.1530 data_cost: 0.0035 ips: 29.7263 images/s [10/18 15:22:54] ppdet.engine INFO: Epoch: [233] [ 60/229] learning_rate: 0.046887 loss_vfl: 0.756056 loss_bbox: 0.281669 loss_dfl: 0.179546 loss: 1.211323 eta: 9:21:31 batch_cost: 2.2278 data_cost: 0.0022 ips: 28.7284 images/s [10/18 15:23:41] ppdet.engine INFO: Epoch: [233] [ 80/229] learning_rate: 0.046770 loss_vfl: 0.757664 loss_bbox: 0.304756 loss_dfl: 0.198428 loss: 1.243280 eta: 9:20:47 batch_cost: 2.1677 data_cost: 0.0053 ips: 29.5249 images/s [10/18 15:24:29] ppdet.engine INFO: Epoch: [233] [100/229] learning_rate: 0.046652 loss_vfl: 0.751593 loss_bbox: 0.279003 loss_dfl: 0.187911 loss: 1.223612 eta: 9:20:03 batch_cost: 2.2565 data_cost: 0.0043 ips: 28.3619 images/s [10/18 15:25:17] ppdet.engine INFO: Epoch: [233] [120/229] learning_rate: 0.046535 loss_vfl: 0.752902 loss_bbox: 0.284572 loss_dfl: 0.179279 loss: 1.223784 eta: 9:19:19 batch_cost: 2.2074 data_cost: 0.0032 ips: 28.9932 images/s [10/18 15:26:05] ppdet.engine INFO: Epoch: [233] [140/229] learning_rate: 0.046417 loss_vfl: 0.765782 loss_bbox: 0.283397 loss_dfl: 0.181696 loss: 1.230088 eta: 9:18:35 batch_cost: 2.2375 data_cost: 0.0048 ips: 28.6039 images/s [10/18 15:26:50] ppdet.engine INFO: Epoch: [233] [160/229] learning_rate: 0.046300 loss_vfl: 0.751363 loss_bbox: 0.289977 loss_dfl: 0.187435 loss: 1.219383 eta: 9:17:51 batch_cost: 2.1441 data_cost: 0.0021 ips: 29.8487 images/s [10/18 15:27:37] ppdet.engine INFO: Epoch: [233] [180/229] learning_rate: 0.046183 loss_vfl: 0.758615 loss_bbox: 0.291014 loss_dfl: 0.187021 loss: 1.243104 eta: 9:17:06 batch_cost: 2.1231 data_cost: 0.0021 ips: 30.1447 images/s [10/18 15:28:23] ppdet.engine INFO: Epoch: [233] [200/229] learning_rate: 0.046067 loss_vfl: 0.751697 loss_bbox: 0.303945 loss_dfl: 0.192411 loss: 1.248672 eta: 9:16:22 batch_cost: 2.1139 data_cost: 0.0035 ips: 30.2755 images/s [10/18 15:29:02] ppdet.engine INFO: Epoch: [233] [220/229] learning_rate: 0.045950 loss_vfl: 0.758491 loss_bbox: 0.274279 loss_dfl: 0.187999 loss: 1.260367 eta: 9:15:35 batch_cost: 1.7873 data_cost: 0.0035 ips: 35.8072 images/s [10/18 15:29:48] ppdet.engine INFO: Epoch: [234] [ 0/229] learning_rate: 0.045897 loss_vfl: 0.764771 loss_bbox: 0.279759 loss_dfl: 0.187335 loss: 1.258853 eta: 9:15:21 batch_cost: 2.8890 data_cost: 1.1043 ips: 22.1533 images/s [10/18 15:30:35] ppdet.engine INFO: Epoch: [234] [ 20/229] learning_rate: 0.045781 loss_vfl: 0.761635 loss_bbox: 0.292427 loss_dfl: 0.189964 loss: 1.242985 eta: 9:14:37 batch_cost: 2.2014 data_cost: 0.0046 ips: 29.0719 images/s [10/18 15:31:23] ppdet.engine INFO: Epoch: [234] [ 40/229] learning_rate: 0.045664 loss_vfl: 0.734869 loss_bbox: 0.271517 loss_dfl: 0.188107 loss: 1.220829 eta: 9:13:53 batch_cost: 2.2166 data_cost: 0.0053 ips: 28.8728 images/s [10/18 15:32:09] ppdet.engine INFO: Epoch: [234] [ 60/229] learning_rate: 0.045548 loss_vfl: 0.736414 loss_bbox: 0.284625 loss_dfl: 0.183558 loss: 1.220679 eta: 9:13:09 batch_cost: 2.1789 data_cost: 0.0026 ips: 29.3729 images/s [10/18 15:32:56] ppdet.engine INFO: Epoch: [234] [ 80/229] learning_rate: 0.045432 loss_vfl: 0.752639 loss_bbox: 0.292968 loss_dfl: 0.188539 loss: 1.248158 eta: 9:12:24 batch_cost: 2.1054 data_cost: 0.0065 ips: 30.3985 images/s [10/18 15:33:44] ppdet.engine INFO: Epoch: [234] [100/229] learning_rate: 0.045316 loss_vfl: 0.755779 loss_bbox: 0.281986 loss_dfl: 0.185965 loss: 1.227151 eta: 9:11:40 batch_cost: 2.1900 data_cost: 0.0027 ips: 29.2231 images/s [10/18 15:34:30] ppdet.engine INFO: Epoch: [234] [120/229] learning_rate: 0.045200 loss_vfl: 0.744567 loss_bbox: 0.313145 loss_dfl: 0.195459 loss: 1.237716 eta: 9:10:56 batch_cost: 2.0993 data_cost: 0.0034 ips: 30.4860 images/s [10/18 15:35:17] ppdet.engine INFO: Epoch: [234] [140/229] learning_rate: 0.045084 loss_vfl: 0.749658 loss_bbox: 0.281290 loss_dfl: 0.192666 loss: 1.222966 eta: 9:10:11 batch_cost: 2.1334 data_cost: 0.0036 ips: 29.9985 images/s [10/18 15:36:03] ppdet.engine INFO: Epoch: [234] [160/229] learning_rate: 0.044969 loss_vfl: 0.736126 loss_bbox: 0.272490 loss_dfl: 0.179124 loss: 1.209110 eta: 9:09:26 batch_cost: 2.0992 data_cost: 0.0046 ips: 30.4875 images/s [10/18 15:36:50] ppdet.engine INFO: Epoch: [234] [180/229] learning_rate: 0.044853 loss_vfl: 0.761754 loss_bbox: 0.291131 loss_dfl: 0.190709 loss: 1.214528 eta: 9:08:42 batch_cost: 2.2262 data_cost: 0.0030 ips: 28.7480 images/s [10/18 15:37:37] ppdet.engine INFO: Epoch: [234] [200/229] learning_rate: 0.044738 loss_vfl: 0.767690 loss_bbox: 0.285789 loss_dfl: 0.193734 loss: 1.245339 eta: 9:07:58 batch_cost: 2.1497 data_cost: 0.0057 ips: 29.7714 images/s [10/18 15:38:15] ppdet.engine INFO: Epoch: [234] [220/229] learning_rate: 0.044623 loss_vfl: 0.768628 loss_bbox: 0.292063 loss_dfl: 0.190630 loss: 1.262257 eta: 9:07:11 batch_cost: 1.7566 data_cost: 0.0045 ips: 36.4336 images/s [10/18 15:38:58] ppdet.engine INFO: Epoch: [235] [ 0/229] learning_rate: 0.044571 loss_vfl: 0.763501 loss_bbox: 0.279666 loss_dfl: 0.188202 loss: 1.240634 eta: 9:06:56 batch_cost: 2.6554 data_cost: 0.9669 ips: 24.1023 images/s [10/18 15:39:46] ppdet.engine INFO: Epoch: [235] [ 20/229] learning_rate: 0.044456 loss_vfl: 0.745130 loss_bbox: 0.296704 loss_dfl: 0.192496 loss: 1.247584 eta: 9:06:12 batch_cost: 2.1719 data_cost: 0.0046 ips: 29.4668 images/s [10/18 15:40:33] ppdet.engine INFO: Epoch: [235] [ 40/229] learning_rate: 0.044341 loss_vfl: 0.770323 loss_bbox: 0.284039 loss_dfl: 0.187371 loss: 1.241854 eta: 9:05:28 batch_cost: 2.1687 data_cost: 0.0037 ips: 29.5111 images/s [10/18 15:41:21] ppdet.engine INFO: Epoch: [235] [ 60/229] learning_rate: 0.044226 loss_vfl: 0.751459 loss_bbox: 0.275434 loss_dfl: 0.183827 loss: 1.214504 eta: 9:04:44 batch_cost: 2.1753 data_cost: 0.0044 ips: 29.4211 images/s [10/18 15:42:07] ppdet.engine INFO: Epoch: [235] [ 80/229] learning_rate: 0.044111 loss_vfl: 0.733336 loss_bbox: 0.256073 loss_dfl: 0.182645 loss: 1.208962 eta: 9:03:59 batch_cost: 2.1567 data_cost: 0.0026 ips: 29.6743 images/s [10/18 15:42:54] ppdet.engine INFO: Epoch: [235] [100/229] learning_rate: 0.043997 loss_vfl: 0.758647 loss_bbox: 0.301268 loss_dfl: 0.194455 loss: 1.239766 eta: 9:03:15 batch_cost: 2.1714 data_cost: 0.0054 ips: 29.4736 images/s [10/18 15:43:42] ppdet.engine INFO: Epoch: [235] [120/229] learning_rate: 0.043882 loss_vfl: 0.735580 loss_bbox: 0.295269 loss_dfl: 0.190026 loss: 1.214449 eta: 9:02:31 batch_cost: 2.1878 data_cost: 0.0040 ips: 29.2527 images/s [10/18 15:44:29] ppdet.engine INFO: Epoch: [235] [140/229] learning_rate: 0.043768 loss_vfl: 0.759957 loss_bbox: 0.278734 loss_dfl: 0.181255 loss: 1.208162 eta: 9:01:47 batch_cost: 2.2157 data_cost: 0.0037 ips: 28.8842 images/s [10/18 15:45:16] ppdet.engine INFO: Epoch: [235] [160/229] learning_rate: 0.043654 loss_vfl: 0.747108 loss_bbox: 0.287084 loss_dfl: 0.186120 loss: 1.203146 eta: 9:01:02 batch_cost: 2.1685 data_cost: 0.0041 ips: 29.5133 images/s [10/18 15:46:04] ppdet.engine INFO: Epoch: [235] [180/229] learning_rate: 0.043540 loss_vfl: 0.755338 loss_bbox: 0.287477 loss_dfl: 0.191027 loss: 1.242628 eta: 9:00:19 batch_cost: 2.2544 data_cost: 0.0052 ips: 28.3889 images/s [10/18 15:46:51] ppdet.engine INFO: Epoch: [235] [200/229] learning_rate: 0.043426 loss_vfl: 0.744477 loss_bbox: 0.281794 loss_dfl: 0.187796 loss: 1.212111 eta: 8:59:34 batch_cost: 2.1396 data_cost: 0.0081 ips: 29.9120 images/s [10/18 15:47:30] ppdet.engine INFO: Epoch: [235] [220/229] learning_rate: 0.043312 loss_vfl: 0.753556 loss_bbox: 0.301665 loss_dfl: 0.194458 loss: 1.242532 eta: 8:58:48 batch_cost: 1.7542 data_cost: 0.0023 ips: 36.4832 images/s [10/18 15:48:12] ppdet.engine INFO: Epoch: [236] [ 0/229] learning_rate: 0.043261 loss_vfl: 0.738508 loss_bbox: 0.281381 loss_dfl: 0.189720 loss: 1.230180 eta: 8:58:32 batch_cost: 2.6250 data_cost: 0.8702 ips: 24.3808 images/s [10/18 15:49:01] ppdet.engine INFO: Epoch: [236] [ 20/229] learning_rate: 0.043148 loss_vfl: 0.755349 loss_bbox: 0.275172 loss_dfl: 0.187879 loss: 1.212017 eta: 8:57:48 batch_cost: 2.1982 data_cost: 0.0023 ips: 29.1145 images/s [10/18 15:49:49] ppdet.engine INFO: Epoch: [236] [ 40/229] learning_rate: 0.043034 loss_vfl: 0.752465 loss_bbox: 0.291978 loss_dfl: 0.190913 loss: 1.245303 eta: 8:57:04 batch_cost: 2.1987 data_cost: 0.0032 ips: 29.1083 images/s [10/18 15:50:37] ppdet.engine INFO: Epoch: [236] [ 60/229] learning_rate: 0.042921 loss_vfl: 0.745410 loss_bbox: 0.280810 loss_dfl: 0.192655 loss: 1.221287 eta: 8:56:20 batch_cost: 2.2356 data_cost: 0.0027 ips: 28.6277 images/s [10/18 15:51:24] ppdet.engine INFO: Epoch: [236] [ 80/229] learning_rate: 0.042808 loss_vfl: 0.765316 loss_bbox: 0.301963 loss_dfl: 0.195189 loss: 1.240616 eta: 8:55:36 batch_cost: 2.1851 data_cost: 0.0029 ips: 29.2895 images/s [10/18 15:52:11] ppdet.engine INFO: Epoch: [236] [100/229] learning_rate: 0.042695 loss_vfl: 0.753250 loss_bbox: 0.290933 loss_dfl: 0.186673 loss: 1.235471 eta: 8:54:52 batch_cost: 2.1346 data_cost: 0.0039 ips: 29.9823 images/s [10/18 15:52:56] ppdet.engine INFO: Epoch: [236] [120/229] learning_rate: 0.042582 loss_vfl: 0.741202 loss_bbox: 0.281885 loss_dfl: 0.192075 loss: 1.219597 eta: 8:54:07 batch_cost: 2.0978 data_cost: 0.0042 ips: 30.5079 images/s [10/18 15:53:44] ppdet.engine INFO: Epoch: [236] [140/229] learning_rate: 0.042469 loss_vfl: 0.755690 loss_bbox: 0.295855 loss_dfl: 0.190768 loss: 1.230401 eta: 8:53:23 batch_cost: 2.2174 data_cost: 0.0047 ips: 28.8620 images/s [10/18 15:54:31] ppdet.engine INFO: Epoch: [236] [160/229] learning_rate: 0.042357 loss_vfl: 0.756689 loss_bbox: 0.289904 loss_dfl: 0.190591 loss: 1.224192 eta: 8:52:39 batch_cost: 2.1849 data_cost: 0.0069 ips: 29.2915 images/s [10/18 15:55:17] ppdet.engine INFO: Epoch: [236] [180/229] learning_rate: 0.042244 loss_vfl: 0.748153 loss_bbox: 0.275949 loss_dfl: 0.179008 loss: 1.207864 eta: 8:51:54 batch_cost: 2.1365 data_cost: 0.0033 ips: 29.9561 images/s [10/18 15:56:04] ppdet.engine INFO: Epoch: [236] [200/229] learning_rate: 0.042132 loss_vfl: 0.751905 loss_bbox: 0.275966 loss_dfl: 0.186805 loss: 1.216926 eta: 8:51:10 batch_cost: 2.1979 data_cost: 0.0023 ips: 29.1191 images/s [10/18 15:56:42] ppdet.engine INFO: Epoch: [236] [220/229] learning_rate: 0.042019 loss_vfl: 0.746927 loss_bbox: 0.292135 loss_dfl: 0.196324 loss: 1.239947 eta: 8:50:24 batch_cost: 1.7375 data_cost: 0.0036 ips: 36.8342 images/s [10/18 15:57:26] ppdet.engine INFO: Epoch: [237] [ 0/229] learning_rate: 0.041969 loss_vfl: 0.758939 loss_bbox: 0.291766 loss_dfl: 0.195434 loss: 1.232289 eta: 8:50:08 batch_cost: 2.6702 data_cost: 0.9442 ips: 23.9680 images/s [10/18 15:58:12] ppdet.engine INFO: Epoch: [237] [ 20/229] learning_rate: 0.041857 loss_vfl: 0.754248 loss_bbox: 0.272842 loss_dfl: 0.183138 loss: 1.195878 eta: 8:49:24 batch_cost: 2.1392 data_cost: 0.0024 ips: 29.9183 images/s [10/18 15:58:59] ppdet.engine INFO: Epoch: [237] [ 40/229] learning_rate: 0.041745 loss_vfl: 0.741199 loss_bbox: 0.287105 loss_dfl: 0.185117 loss: 1.210344 eta: 8:48:40 batch_cost: 2.1771 data_cost: 0.0055 ips: 29.3967 images/s [10/18 15:59:46] ppdet.engine INFO: Epoch: [237] [ 60/229] learning_rate: 0.041633 loss_vfl: 0.754806 loss_bbox: 0.294172 loss_dfl: 0.188168 loss: 1.238505 eta: 8:47:56 batch_cost: 2.2177 data_cost: 0.0049 ips: 28.8581 images/s [10/18 16:00:33] ppdet.engine INFO: Epoch: [237] [ 80/229] learning_rate: 0.041522 loss_vfl: 0.748946 loss_bbox: 0.295789 loss_dfl: 0.193071 loss: 1.238411 eta: 8:47:12 batch_cost: 2.2013 data_cost: 0.0034 ips: 29.0733 images/s [10/18 16:01:19] ppdet.engine INFO: Epoch: [237] [100/229] learning_rate: 0.041410 loss_vfl: 0.765069 loss_bbox: 0.290586 loss_dfl: 0.183553 loss: 1.234347 eta: 8:46:27 batch_cost: 2.0916 data_cost: 0.0042 ips: 30.5983 images/s [10/18 16:02:06] ppdet.engine INFO: Epoch: [237] [120/229] learning_rate: 0.041299 loss_vfl: 0.731604 loss_bbox: 0.283049 loss_dfl: 0.186107 loss: 1.196246 eta: 8:45:42 batch_cost: 2.1486 data_cost: 0.0039 ips: 29.7867 images/s [10/18 16:02:53] ppdet.engine INFO: Epoch: [237] [140/229] learning_rate: 0.041187 loss_vfl: 0.740877 loss_bbox: 0.287029 loss_dfl: 0.196531 loss: 1.251923 eta: 8:44:58 batch_cost: 2.1764 data_cost: 0.0050 ips: 29.4058 images/s [10/18 16:03:40] ppdet.engine INFO: Epoch: [237] [160/229] learning_rate: 0.041076 loss_vfl: 0.742130 loss_bbox: 0.297004 loss_dfl: 0.193935 loss: 1.246114 eta: 8:44:14 batch_cost: 2.1690 data_cost: 0.0027 ips: 29.5072 images/s [10/18 16:04:27] ppdet.engine INFO: Epoch: [237] [180/229] learning_rate: 0.040965 loss_vfl: 0.758366 loss_bbox: 0.271340 loss_dfl: 0.177824 loss: 1.223806 eta: 8:43:30 batch_cost: 2.2091 data_cost: 0.0047 ips: 28.9711 images/s [10/18 16:05:14] ppdet.engine INFO: Epoch: [237] [200/229] learning_rate: 0.040855 loss_vfl: 0.762854 loss_bbox: 0.267083 loss_dfl: 0.182076 loss: 1.227767 eta: 8:42:45 batch_cost: 2.1241 data_cost: 0.0060 ips: 30.1302 images/s [10/18 16:05:52] ppdet.engine INFO: Epoch: [237] [220/229] learning_rate: 0.040744 loss_vfl: 0.745384 loss_bbox: 0.278731 loss_dfl: 0.186312 loss: 1.207320 eta: 8:41:59 batch_cost: 1.7777 data_cost: 0.0034 ips: 36.0024 images/s [10/18 16:06:34] ppdet.engine INFO: Epoch: [238] [ 0/229] learning_rate: 0.040694 loss_vfl: 0.751712 loss_bbox: 0.276316 loss_dfl: 0.179136 loss: 1.207641 eta: 8:41:44 batch_cost: 2.6273 data_cost: 0.8218 ips: 24.3593 images/s [10/18 16:07:22] ppdet.engine INFO: Epoch: [238] [ 20/229] learning_rate: 0.040583 loss_vfl: 0.733090 loss_bbox: 0.275970 loss_dfl: 0.187667 loss: 1.202882 eta: 8:40:59 batch_cost: 2.1774 data_cost: 0.0031 ips: 29.3927 images/s [10/18 16:08:09] ppdet.engine INFO: Epoch: [238] [ 40/229] learning_rate: 0.040473 loss_vfl: 0.758236 loss_bbox: 0.278684 loss_dfl: 0.191005 loss: 1.238082 eta: 8:40:15 batch_cost: 2.2180 data_cost: 0.0047 ips: 28.8549 images/s [10/18 16:08:57] ppdet.engine INFO: Epoch: [238] [ 60/229] learning_rate: 0.040363 loss_vfl: 0.759576 loss_bbox: 0.309183 loss_dfl: 0.199751 loss: 1.247376 eta: 8:39:31 batch_cost: 2.1952 data_cost: 0.0059 ips: 29.1543 images/s [10/18 16:09:44] ppdet.engine INFO: Epoch: [238] [ 80/229] learning_rate: 0.040253 loss_vfl: 0.740849 loss_bbox: 0.310575 loss_dfl: 0.197628 loss: 1.250121 eta: 8:38:47 batch_cost: 2.1559 data_cost: 0.0111 ips: 29.6865 images/s [10/18 16:10:32] ppdet.engine INFO: Epoch: [238] [100/229] learning_rate: 0.040143 loss_vfl: 0.739676 loss_bbox: 0.290617 loss_dfl: 0.188078 loss: 1.218117 eta: 8:38:03 batch_cost: 2.2470 data_cost: 0.0050 ips: 28.4826 images/s [10/18 16:11:19] ppdet.engine INFO: Epoch: [238] [120/229] learning_rate: 0.040033 loss_vfl: 0.740791 loss_bbox: 0.291269 loss_dfl: 0.185474 loss: 1.215683 eta: 8:37:19 batch_cost: 2.2032 data_cost: 0.0047 ips: 29.0481 images/s [10/18 16:12:06] ppdet.engine INFO: Epoch: [238] [140/229] learning_rate: 0.039923 loss_vfl: 0.740576 loss_bbox: 0.312348 loss_dfl: 0.197093 loss: 1.243901 eta: 8:36:35 batch_cost: 2.1548 data_cost: 0.0026 ips: 29.7013 images/s [10/18 16:12:55] ppdet.engine INFO: Epoch: [238] [160/229] learning_rate: 0.039814 loss_vfl: 0.745194 loss_bbox: 0.288633 loss_dfl: 0.186209 loss: 1.237318 eta: 8:35:51 batch_cost: 2.2460 data_cost: 0.0038 ips: 28.4955 images/s [10/18 16:13:43] ppdet.engine INFO: Epoch: [238] [180/229] learning_rate: 0.039704 loss_vfl: 0.758162 loss_bbox: 0.284780 loss_dfl: 0.187814 loss: 1.223054 eta: 8:35:07 batch_cost: 2.2613 data_cost: 0.0020 ips: 28.3029 images/s [10/18 16:14:30] ppdet.engine INFO: Epoch: [238] [200/229] learning_rate: 0.039595 loss_vfl: 0.759853 loss_bbox: 0.284724 loss_dfl: 0.196608 loss: 1.249919 eta: 8:34:23 batch_cost: 2.1823 data_cost: 0.0056 ips: 29.3265 images/s [10/18 16:15:08] ppdet.engine INFO: Epoch: [238] [220/229] learning_rate: 0.039486 loss_vfl: 0.755596 loss_bbox: 0.288564 loss_dfl: 0.192037 loss: 1.227350 eta: 8:33:36 batch_cost: 1.7094 data_cost: 0.0014 ips: 37.4409 images/s [10/18 16:15:50] ppdet.engine INFO: Epoch: [239] [ 0/229] learning_rate: 0.039437 loss_vfl: 0.756244 loss_bbox: 0.282000 loss_dfl: 0.183074 loss: 1.218561 eta: 8:33:21 batch_cost: 2.6799 data_cost: 1.1194 ips: 23.8813 images/s [10/18 16:16:38] ppdet.engine INFO: Epoch: [239] [ 20/229] learning_rate: 0.039328 loss_vfl: 0.740592 loss_bbox: 0.280716 loss_dfl: 0.192287 loss: 1.219262 eta: 8:32:37 batch_cost: 2.1879 data_cost: 0.0025 ips: 29.2522 images/s [10/18 16:17:26] ppdet.engine INFO: Epoch: [239] [ 40/229] learning_rate: 0.039219 loss_vfl: 0.743626 loss_bbox: 0.281863 loss_dfl: 0.188993 loss: 1.214853 eta: 8:31:53 batch_cost: 2.2191 data_cost: 0.0036 ips: 28.8403 images/s [10/18 16:18:14] ppdet.engine INFO: Epoch: [239] [ 60/229] learning_rate: 0.039110 loss_vfl: 0.756217 loss_bbox: 0.283279 loss_dfl: 0.191960 loss: 1.233697 eta: 8:31:09 batch_cost: 2.2240 data_cost: 0.0044 ips: 28.7776 images/s [10/18 16:19:01] ppdet.engine INFO: Epoch: [239] [ 80/229] learning_rate: 0.039001 loss_vfl: 0.744451 loss_bbox: 0.295416 loss_dfl: 0.184280 loss: 1.220640 eta: 8:30:24 batch_cost: 2.1592 data_cost: 0.0045 ips: 29.6412 images/s [10/18 16:19:47] ppdet.engine INFO: Epoch: [239] [100/229] learning_rate: 0.038893 loss_vfl: 0.751702 loss_bbox: 0.288078 loss_dfl: 0.190653 loss: 1.231074 eta: 8:29:39 batch_cost: 2.0793 data_cost: 0.0053 ips: 30.7800 images/s [10/18 16:20:34] ppdet.engine INFO: Epoch: [239] [120/229] learning_rate: 0.038785 loss_vfl: 0.744781 loss_bbox: 0.286762 loss_dfl: 0.192079 loss: 1.230056 eta: 8:28:55 batch_cost: 2.1717 data_cost: 0.0040 ips: 29.4697 images/s [10/18 16:21:22] ppdet.engine INFO: Epoch: [239] [140/229] learning_rate: 0.038676 loss_vfl: 0.751655 loss_bbox: 0.281206 loss_dfl: 0.183749 loss: 1.231112 eta: 8:28:11 batch_cost: 2.2240 data_cost: 0.0024 ips: 28.7769 images/s [10/18 16:22:09] ppdet.engine INFO: Epoch: [239] [160/229] learning_rate: 0.038568 loss_vfl: 0.752287 loss_bbox: 0.280430 loss_dfl: 0.184641 loss: 1.240299 eta: 8:27:27 batch_cost: 2.2007 data_cost: 0.0039 ips: 29.0815 images/s [10/18 16:22:56] ppdet.engine INFO: Epoch: [239] [180/229] learning_rate: 0.038460 loss_vfl: 0.757164 loss_bbox: 0.283652 loss_dfl: 0.185352 loss: 1.198115 eta: 8:26:43 batch_cost: 2.1669 data_cost: 0.0031 ips: 29.5356 images/s [10/18 16:23:43] ppdet.engine INFO: Epoch: [239] [200/229] learning_rate: 0.038353 loss_vfl: 0.755217 loss_bbox: 0.297302 loss_dfl: 0.193151 loss: 1.231408 eta: 8:25:58 batch_cost: 2.0978 data_cost: 0.0044 ips: 30.5077 images/s [10/18 16:24:21] ppdet.engine INFO: Epoch: [239] [220/229] learning_rate: 0.038245 loss_vfl: 0.746369 loss_bbox: 0.298024 loss_dfl: 0.186861 loss: 1.221623 eta: 8:25:12 batch_cost: 1.7572 data_cost: 0.0018 ips: 36.4214 images/s [10/18 16:24:36] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 16:24:37] ppdet.engine INFO: Eval iter: 0 [10/18 16:25:18] ppdet.engine INFO: Eval iter: 100 [10/18 16:25:33] ppdet.engine INFO: Eval iter: 200 [10/18 16:25:49] ppdet.engine INFO: Eval iter: 300 [10/18 16:26:05] ppdet.engine INFO: Eval iter: 400 [10/18 16:26:19] ppdet.engine INFO: Eval iter: 500 [10/18 16:26:34] ppdet.engine INFO: Eval iter: 600 [10/18 16:26:46] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.51s) creating index... index created! [10/18 16:26:47] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.09s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=64.84s). Accumulating evaluation results... DONE (t=11.67s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.309 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.325 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 ] = 0.319 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.529 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 ] = 0.428 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 ] = 0.167 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.720 [10/18 16:28:11] ppdet.engine INFO: Total sample number: 5000, averge FPS: 40.55923404991825 [10/18 16:28:11] ppdet.engine INFO: Best test bbox ap is 0.309. [10/18 16:28:11] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 16:28:12] ppdet.engine INFO: Epoch: [240] [ 0/229] learning_rate: 0.038197 loss_vfl: 0.748204 loss_bbox: 0.295433 loss_dfl: 0.188329 loss: 1.215209 eta: 8:24:50 batch_cost: 1.2881 data_cost: 0.0012 ips: 49.6866 images/s [10/18 16:28:59] ppdet.engine INFO: Epoch: [240] [ 20/229] learning_rate: 0.038089 loss_vfl: 0.745499 loss_bbox: 0.285032 loss_dfl: 0.190408 loss: 1.212177 eta: 8:24:05 batch_cost: 2.1249 data_cost: 0.0052 ips: 30.1194 images/s [10/18 16:29:45] ppdet.engine INFO: Epoch: [240] [ 40/229] learning_rate: 0.037982 loss_vfl: 0.749473 loss_bbox: 0.281485 loss_dfl: 0.188360 loss: 1.224268 eta: 8:23:21 batch_cost: 2.1272 data_cost: 0.0036 ips: 30.0866 images/s [10/18 16:30:31] ppdet.engine INFO: Epoch: [240] [ 60/229] learning_rate: 0.037875 loss_vfl: 0.753157 loss_bbox: 0.283299 loss_dfl: 0.185302 loss: 1.220616 eta: 8:22:36 batch_cost: 2.1084 data_cost: 0.0059 ips: 30.3547 images/s [10/18 16:31:18] ppdet.engine INFO: Epoch: [240] [ 80/229] learning_rate: 0.037768 loss_vfl: 0.744934 loss_bbox: 0.278566 loss_dfl: 0.182532 loss: 1.194796 eta: 8:21:52 batch_cost: 2.1249 data_cost: 0.0045 ips: 30.1187 images/s [10/18 16:32:05] ppdet.engine INFO: Epoch: [240] [100/229] learning_rate: 0.037661 loss_vfl: 0.753767 loss_bbox: 0.280171 loss_dfl: 0.179736 loss: 1.218054 eta: 8:21:07 batch_cost: 2.1897 data_cost: 0.0036 ips: 29.2275 images/s [10/18 16:32:52] ppdet.engine INFO: Epoch: [240] [120/229] learning_rate: 0.037554 loss_vfl: 0.758458 loss_bbox: 0.291733 loss_dfl: 0.190740 loss: 1.248040 eta: 8:20:23 batch_cost: 2.1693 data_cost: 0.0035 ips: 29.5028 images/s [10/18 16:33:40] ppdet.engine INFO: Epoch: [240] [140/229] learning_rate: 0.037447 loss_vfl: 0.752374 loss_bbox: 0.283164 loss_dfl: 0.186458 loss: 1.213973 eta: 8:19:39 batch_cost: 2.2213 data_cost: 0.0043 ips: 28.8115 images/s [10/18 16:34:28] ppdet.engine INFO: Epoch: [240] [160/229] learning_rate: 0.037341 loss_vfl: 0.743399 loss_bbox: 0.293580 loss_dfl: 0.190820 loss: 1.206673 eta: 8:18:55 batch_cost: 2.2125 data_cost: 0.0041 ips: 28.9264 images/s [10/18 16:35:16] ppdet.engine INFO: Epoch: [240] [180/229] learning_rate: 0.037234 loss_vfl: 0.754459 loss_bbox: 0.281174 loss_dfl: 0.186090 loss: 1.229447 eta: 8:18:11 batch_cost: 2.2547 data_cost: 0.0038 ips: 28.3849 images/s [10/18 16:36:03] ppdet.engine INFO: Epoch: [240] [200/229] learning_rate: 0.037128 loss_vfl: 0.745717 loss_bbox: 0.290576 loss_dfl: 0.186150 loss: 1.220679 eta: 8:17:27 batch_cost: 2.1320 data_cost: 0.0052 ips: 30.0183 images/s [10/18 16:36:41] ppdet.engine INFO: Epoch: [240] [220/229] learning_rate: 0.037022 loss_vfl: 0.738406 loss_bbox: 0.289609 loss_dfl: 0.185105 loss: 1.222812 eta: 8:16:41 batch_cost: 1.7885 data_cost: 0.0015 ips: 35.7850 images/s [10/18 16:37:26] ppdet.engine INFO: Epoch: [241] [ 0/229] learning_rate: 0.036974 loss_vfl: 0.742566 loss_bbox: 0.281842 loss_dfl: 0.179318 loss: 1.213142 eta: 8:16:25 batch_cost: 2.7100 data_cost: 0.7381 ips: 23.6165 images/s [10/18 16:38:15] ppdet.engine INFO: Epoch: [241] [ 20/229] learning_rate: 0.036869 loss_vfl: 0.751246 loss_bbox: 0.268368 loss_dfl: 0.188815 loss: 1.229440 eta: 8:15:41 batch_cost: 2.1923 data_cost: 0.0077 ips: 29.1926 images/s [10/18 16:39:02] ppdet.engine INFO: Epoch: [241] [ 40/229] learning_rate: 0.036763 loss_vfl: 0.757138 loss_bbox: 0.305894 loss_dfl: 0.191621 loss: 1.244249 eta: 8:14:57 batch_cost: 2.1844 data_cost: 0.0050 ips: 29.2990 images/s [10/18 16:39:51] ppdet.engine INFO: Epoch: [241] [ 60/229] learning_rate: 0.036657 loss_vfl: 0.743111 loss_bbox: 0.285425 loss_dfl: 0.194061 loss: 1.233909 eta: 8:14:13 batch_cost: 2.2672 data_cost: 0.0054 ips: 28.2287 images/s [10/18 16:40:37] ppdet.engine INFO: Epoch: [241] [ 80/229] learning_rate: 0.036552 loss_vfl: 0.734089 loss_bbox: 0.278178 loss_dfl: 0.193495 loss: 1.210997 eta: 8:13:29 batch_cost: 2.0618 data_cost: 0.0032 ips: 31.0404 images/s [10/18 16:41:24] ppdet.engine INFO: Epoch: [241] [100/229] learning_rate: 0.036446 loss_vfl: 0.745577 loss_bbox: 0.286695 loss_dfl: 0.185910 loss: 1.223904 eta: 8:12:44 batch_cost: 2.1641 data_cost: 0.0065 ips: 29.5733 images/s [10/18 16:42:10] ppdet.engine INFO: Epoch: [241] [120/229] learning_rate: 0.036341 loss_vfl: 0.762994 loss_bbox: 0.297745 loss_dfl: 0.191696 loss: 1.250452 eta: 8:12:00 batch_cost: 2.1501 data_cost: 0.0047 ips: 29.7664 images/s [10/18 16:42:57] ppdet.engine INFO: Epoch: [241] [140/229] learning_rate: 0.036236 loss_vfl: 0.740885 loss_bbox: 0.275410 loss_dfl: 0.179033 loss: 1.208611 eta: 8:11:16 batch_cost: 2.1740 data_cost: 0.0036 ips: 29.4390 images/s [10/18 16:43:44] ppdet.engine INFO: Epoch: [241] [160/229] learning_rate: 0.036131 loss_vfl: 0.732221 loss_bbox: 0.278910 loss_dfl: 0.178191 loss: 1.190410 eta: 8:10:31 batch_cost: 2.1358 data_cost: 0.0031 ips: 29.9660 images/s [10/18 16:44:31] ppdet.engine INFO: Epoch: [241] [180/229] learning_rate: 0.036026 loss_vfl: 0.753027 loss_bbox: 0.289493 loss_dfl: 0.186243 loss: 1.226052 eta: 8:09:47 batch_cost: 2.1938 data_cost: 0.0038 ips: 29.1727 images/s [10/18 16:45:18] ppdet.engine INFO: Epoch: [241] [200/229] learning_rate: 0.035922 loss_vfl: 0.743116 loss_bbox: 0.290477 loss_dfl: 0.188421 loss: 1.218540 eta: 8:09:03 batch_cost: 2.1148 data_cost: 0.0053 ips: 30.2629 images/s [10/18 16:45:56] ppdet.engine INFO: Epoch: [241] [220/229] learning_rate: 0.035817 loss_vfl: 0.741288 loss_bbox: 0.285574 loss_dfl: 0.192265 loss: 1.221208 eta: 8:08:16 batch_cost: 1.7603 data_cost: 0.0027 ips: 36.3571 images/s [10/18 16:46:40] ppdet.engine INFO: Epoch: [242] [ 0/229] learning_rate: 0.035770 loss_vfl: 0.743910 loss_bbox: 0.285574 loss_dfl: 0.187999 loss: 1.227777 eta: 8:08:01 batch_cost: 2.7042 data_cost: 1.0263 ips: 23.6672 images/s [10/18 16:47:27] ppdet.engine INFO: Epoch: [242] [ 20/229] learning_rate: 0.035666 loss_vfl: 0.752521 loss_bbox: 0.290291 loss_dfl: 0.189987 loss: 1.243545 eta: 8:07:17 batch_cost: 2.1372 data_cost: 0.0025 ips: 29.9463 images/s [10/18 16:48:15] ppdet.engine INFO: Epoch: [242] [ 40/229] learning_rate: 0.035562 loss_vfl: 0.743046 loss_bbox: 0.278879 loss_dfl: 0.183957 loss: 1.224383 eta: 8:06:32 batch_cost: 2.2119 data_cost: 0.0032 ips: 28.9338 images/s [10/18 16:49:01] ppdet.engine INFO: Epoch: [242] [ 60/229] learning_rate: 0.035458 loss_vfl: 0.729652 loss_bbox: 0.283457 loss_dfl: 0.187234 loss: 1.189945 eta: 8:05:48 batch_cost: 2.1548 data_cost: 0.0022 ips: 29.7014 images/s [10/18 16:49:47] ppdet.engine INFO: Epoch: [242] [ 80/229] learning_rate: 0.035354 loss_vfl: 0.739670 loss_bbox: 0.276486 loss_dfl: 0.181135 loss: 1.199040 eta: 8:05:04 batch_cost: 2.0924 data_cost: 0.0062 ips: 30.5870 images/s [10/18 16:50:35] ppdet.engine INFO: Epoch: [242] [100/229] learning_rate: 0.035250 loss_vfl: 0.742343 loss_bbox: 0.300983 loss_dfl: 0.191181 loss: 1.213210 eta: 8:04:19 batch_cost: 2.1714 data_cost: 0.0055 ips: 29.4743 images/s [10/18 16:51:22] ppdet.engine INFO: Epoch: [242] [120/229] learning_rate: 0.035146 loss_vfl: 0.743045 loss_bbox: 0.277179 loss_dfl: 0.188158 loss: 1.205995 eta: 8:03:35 batch_cost: 2.1282 data_cost: 0.0036 ips: 30.0729 images/s [10/18 16:52:10] ppdet.engine INFO: Epoch: [242] [140/229] learning_rate: 0.035043 loss_vfl: 0.737341 loss_bbox: 0.294625 loss_dfl: 0.195094 loss: 1.229242 eta: 8:02:51 batch_cost: 2.2251 data_cost: 0.0062 ips: 28.7630 images/s [10/18 16:52:56] ppdet.engine INFO: Epoch: [242] [160/229] learning_rate: 0.034939 loss_vfl: 0.742739 loss_bbox: 0.289401 loss_dfl: 0.193244 loss: 1.223300 eta: 8:02:06 batch_cost: 2.1109 data_cost: 0.0025 ips: 30.3187 images/s [10/18 16:53:43] ppdet.engine INFO: Epoch: [242] [180/229] learning_rate: 0.034836 loss_vfl: 0.749765 loss_bbox: 0.274735 loss_dfl: 0.187334 loss: 1.223422 eta: 8:01:22 batch_cost: 2.1349 data_cost: 0.0039 ips: 29.9783 images/s [10/18 16:54:30] ppdet.engine INFO: Epoch: [242] [200/229] learning_rate: 0.034733 loss_vfl: 0.743837 loss_bbox: 0.300301 loss_dfl: 0.191326 loss: 1.212908 eta: 8:00:38 batch_cost: 2.1768 data_cost: 0.0040 ips: 29.4011 images/s [10/18 16:55:08] ppdet.engine INFO: Epoch: [242] [220/229] learning_rate: 0.034630 loss_vfl: 0.745659 loss_bbox: 0.277010 loss_dfl: 0.188926 loss: 1.224735 eta: 7:59:51 batch_cost: 1.7348 data_cost: 0.0042 ips: 36.8926 images/s [10/18 16:55:52] ppdet.engine INFO: Epoch: [243] [ 0/229] learning_rate: 0.034584 loss_vfl: 0.741196 loss_bbox: 0.294895 loss_dfl: 0.190742 loss: 1.223780 eta: 7:59:36 batch_cost: 2.7196 data_cost: 0.8553 ips: 23.5331 images/s [10/18 16:56:40] ppdet.engine INFO: Epoch: [243] [ 20/229] learning_rate: 0.034481 loss_vfl: 0.741614 loss_bbox: 0.290324 loss_dfl: 0.192561 loss: 1.229035 eta: 7:58:52 batch_cost: 2.2584 data_cost: 0.0030 ips: 28.3384 images/s [10/18 16:57:28] ppdet.engine INFO: Epoch: [243] [ 40/229] learning_rate: 0.034379 loss_vfl: 0.755068 loss_bbox: 0.293560 loss_dfl: 0.191404 loss: 1.235769 eta: 7:58:08 batch_cost: 2.1303 data_cost: 0.0060 ips: 30.0432 images/s [10/18 16:58:15] ppdet.engine INFO: Epoch: [243] [ 60/229] learning_rate: 0.034276 loss_vfl: 0.738332 loss_bbox: 0.290419 loss_dfl: 0.196185 loss: 1.229978 eta: 7:57:23 batch_cost: 2.1824 data_cost: 0.0057 ips: 29.3261 images/s [10/18 16:59:03] ppdet.engine INFO: Epoch: [243] [ 80/229] learning_rate: 0.034174 loss_vfl: 0.746842 loss_bbox: 0.296409 loss_dfl: 0.188723 loss: 1.237132 eta: 7:56:39 batch_cost: 2.1815 data_cost: 0.0042 ips: 29.3375 images/s [10/18 16:59:50] ppdet.engine INFO: Epoch: [243] [100/229] learning_rate: 0.034072 loss_vfl: 0.739531 loss_bbox: 0.273805 loss_dfl: 0.189415 loss: 1.224536 eta: 7:55:55 batch_cost: 2.1417 data_cost: 0.0061 ips: 29.8827 images/s [10/18 17:00:37] ppdet.engine INFO: Epoch: [243] [120/229] learning_rate: 0.033969 loss_vfl: 0.761088 loss_bbox: 0.263322 loss_dfl: 0.181141 loss: 1.194008 eta: 7:55:11 batch_cost: 2.2472 data_cost: 0.0015 ips: 28.4798 images/s [10/18 17:01:25] ppdet.engine INFO: Epoch: [243] [140/229] learning_rate: 0.033868 loss_vfl: 0.743293 loss_bbox: 0.280000 loss_dfl: 0.183963 loss: 1.227727 eta: 7:54:27 batch_cost: 2.1908 data_cost: 0.0016 ips: 29.2135 images/s [10/18 17:02:11] ppdet.engine INFO: Epoch: [243] [160/229] learning_rate: 0.033766 loss_vfl: 0.739816 loss_bbox: 0.285445 loss_dfl: 0.193326 loss: 1.219489 eta: 7:53:43 batch_cost: 2.1919 data_cost: 0.0026 ips: 29.1989 images/s [10/18 17:02:59] ppdet.engine INFO: Epoch: [243] [180/229] learning_rate: 0.033664 loss_vfl: 0.753111 loss_bbox: 0.289962 loss_dfl: 0.183121 loss: 1.231092 eta: 7:52:58 batch_cost: 2.1665 data_cost: 0.0015 ips: 29.5414 images/s [10/18 17:03:44] ppdet.engine INFO: Epoch: [243] [200/229] learning_rate: 0.033563 loss_vfl: 0.748012 loss_bbox: 0.282228 loss_dfl: 0.190867 loss: 1.233440 eta: 7:52:14 batch_cost: 2.1353 data_cost: 0.0037 ips: 29.9724 images/s [10/18 17:04:23] ppdet.engine INFO: Epoch: [243] [220/229] learning_rate: 0.033461 loss_vfl: 0.740996 loss_bbox: 0.276934 loss_dfl: 0.187498 loss: 1.204283 eta: 7:51:28 batch_cost: 1.7715 data_cost: 0.0020 ips: 36.1280 images/s [10/18 17:05:07] ppdet.engine INFO: Epoch: [244] [ 0/229] learning_rate: 0.033416 loss_vfl: 0.757452 loss_bbox: 0.275871 loss_dfl: 0.178509 loss: 1.216023 eta: 7:51:12 batch_cost: 2.7732 data_cost: 0.7375 ips: 23.0781 images/s [10/18 17:05:54] ppdet.engine INFO: Epoch: [244] [ 20/229] learning_rate: 0.033315 loss_vfl: 0.742722 loss_bbox: 0.290271 loss_dfl: 0.192000 loss: 1.221825 eta: 7:50:28 batch_cost: 2.1357 data_cost: 0.0050 ips: 29.9671 images/s [10/18 17:06:41] ppdet.engine INFO: Epoch: [244] [ 40/229] learning_rate: 0.033214 loss_vfl: 0.734623 loss_bbox: 0.279677 loss_dfl: 0.184956 loss: 1.218204 eta: 7:49:44 batch_cost: 2.1700 data_cost: 0.0048 ips: 29.4926 images/s [10/18 17:07:28] ppdet.engine INFO: Epoch: [244] [ 60/229] learning_rate: 0.033113 loss_vfl: 0.750816 loss_bbox: 0.278885 loss_dfl: 0.191333 loss: 1.217874 eta: 7:49:00 batch_cost: 2.2040 data_cost: 0.0034 ips: 29.0385 images/s [10/18 17:08:15] ppdet.engine INFO: Epoch: [244] [ 80/229] learning_rate: 0.033012 loss_vfl: 0.741638 loss_bbox: 0.280251 loss_dfl: 0.182461 loss: 1.213465 eta: 7:48:16 batch_cost: 2.1936 data_cost: 0.0034 ips: 29.1756 images/s [10/18 17:09:02] ppdet.engine INFO: Epoch: [244] [100/229] learning_rate: 0.032911 loss_vfl: 0.742370 loss_bbox: 0.294548 loss_dfl: 0.189894 loss: 1.227674 eta: 7:47:31 batch_cost: 2.1701 data_cost: 0.0062 ips: 29.4922 images/s [10/18 17:09:49] ppdet.engine INFO: Epoch: [244] [120/229] learning_rate: 0.032811 loss_vfl: 0.736532 loss_bbox: 0.287331 loss_dfl: 0.185860 loss: 1.196937 eta: 7:46:47 batch_cost: 2.1332 data_cost: 0.0052 ips: 30.0020 images/s [10/18 17:10:36] ppdet.engine INFO: Epoch: [244] [140/229] learning_rate: 0.032711 loss_vfl: 0.746465 loss_bbox: 0.291755 loss_dfl: 0.190028 loss: 1.233809 eta: 7:46:02 batch_cost: 2.1160 data_cost: 0.0032 ips: 30.2453 images/s [10/18 17:11:23] ppdet.engine INFO: Epoch: [244] [160/229] learning_rate: 0.032610 loss_vfl: 0.742199 loss_bbox: 0.283909 loss_dfl: 0.192711 loss: 1.222618 eta: 7:45:18 batch_cost: 2.1761 data_cost: 0.0022 ips: 29.4109 images/s [10/18 17:12:09] ppdet.engine INFO: Epoch: [244] [180/229] learning_rate: 0.032510 loss_vfl: 0.719679 loss_bbox: 0.290646 loss_dfl: 0.190519 loss: 1.202503 eta: 7:44:34 batch_cost: 2.1641 data_cost: 0.0058 ips: 29.5736 images/s [10/18 17:12:56] ppdet.engine INFO: Epoch: [244] [200/229] learning_rate: 0.032410 loss_vfl: 0.763813 loss_bbox: 0.278533 loss_dfl: 0.187695 loss: 1.230028 eta: 7:43:50 batch_cost: 2.1927 data_cost: 0.0052 ips: 29.1873 images/s [10/18 17:13:35] ppdet.engine INFO: Epoch: [244] [220/229] learning_rate: 0.032311 loss_vfl: 0.743509 loss_bbox: 0.278388 loss_dfl: 0.184009 loss: 1.194437 eta: 7:43:04 batch_cost: 1.7908 data_cost: 0.0020 ips: 35.7389 images/s [10/18 17:14:18] ppdet.engine INFO: Epoch: [245] [ 0/229] learning_rate: 0.032266 loss_vfl: 0.739994 loss_bbox: 0.278803 loss_dfl: 0.188460 loss: 1.219680 eta: 7:42:48 batch_cost: 2.7183 data_cost: 1.0607 ips: 23.5440 images/s [10/18 17:15:06] ppdet.engine INFO: Epoch: [245] [ 20/229] learning_rate: 0.032166 loss_vfl: 0.741852 loss_bbox: 0.292141 loss_dfl: 0.192886 loss: 1.217450 eta: 7:42:04 batch_cost: 2.1851 data_cost: 0.0029 ips: 29.2899 images/s [10/18 17:15:54] ppdet.engine INFO: Epoch: [245] [ 40/229] learning_rate: 0.032067 loss_vfl: 0.752060 loss_bbox: 0.274919 loss_dfl: 0.178734 loss: 1.196252 eta: 7:41:20 batch_cost: 2.2087 data_cost: 0.0043 ips: 28.9758 images/s [10/18 17:16:42] ppdet.engine INFO: Epoch: [245] [ 60/229] learning_rate: 0.031968 loss_vfl: 0.751259 loss_bbox: 0.282094 loss_dfl: 0.186770 loss: 1.214380 eta: 7:40:36 batch_cost: 2.2357 data_cost: 0.0037 ips: 28.6261 images/s [10/18 17:17:29] ppdet.engine INFO: Epoch: [245] [ 80/229] learning_rate: 0.031869 loss_vfl: 0.743014 loss_bbox: 0.280356 loss_dfl: 0.188054 loss: 1.209391 eta: 7:39:52 batch_cost: 2.1694 data_cost: 0.0027 ips: 29.5010 images/s [10/18 17:18:16] ppdet.engine INFO: Epoch: [245] [100/229] learning_rate: 0.031770 loss_vfl: 0.745748 loss_bbox: 0.305651 loss_dfl: 0.197222 loss: 1.251022 eta: 7:39:08 batch_cost: 2.1908 data_cost: 0.0020 ips: 29.2128 images/s [10/18 17:19:03] ppdet.engine INFO: Epoch: [245] [120/229] learning_rate: 0.031671 loss_vfl: 0.747825 loss_bbox: 0.291886 loss_dfl: 0.188401 loss: 1.234861 eta: 7:38:23 batch_cost: 2.1585 data_cost: 0.0036 ips: 29.6505 images/s [10/18 17:19:50] ppdet.engine INFO: Epoch: [245] [140/229] learning_rate: 0.031572 loss_vfl: 0.739419 loss_bbox: 0.292383 loss_dfl: 0.191098 loss: 1.205682 eta: 7:37:39 batch_cost: 2.2022 data_cost: 0.0033 ips: 29.0617 images/s [10/18 17:20:37] ppdet.engine INFO: Epoch: [245] [160/229] learning_rate: 0.031473 loss_vfl: 0.744625 loss_bbox: 0.274016 loss_dfl: 0.183310 loss: 1.212126 eta: 7:36:55 batch_cost: 2.1011 data_cost: 0.0031 ips: 30.4603 images/s [10/18 17:21:24] ppdet.engine INFO: Epoch: [245] [180/229] learning_rate: 0.031375 loss_vfl: 0.752243 loss_bbox: 0.292406 loss_dfl: 0.188808 loss: 1.234352 eta: 7:36:10 batch_cost: 2.1014 data_cost: 0.0037 ips: 30.4562 images/s [10/18 17:22:10] ppdet.engine INFO: Epoch: [245] [200/229] learning_rate: 0.031277 loss_vfl: 0.746517 loss_bbox: 0.297915 loss_dfl: 0.193260 loss: 1.238021 eta: 7:35:26 batch_cost: 2.1315 data_cost: 0.0039 ips: 30.0254 images/s [10/18 17:22:48] ppdet.engine INFO: Epoch: [245] [220/229] learning_rate: 0.031179 loss_vfl: 0.751196 loss_bbox: 0.300595 loss_dfl: 0.199627 loss: 1.237572 eta: 7:34:40 batch_cost: 1.7480 data_cost: 0.0041 ips: 36.6139 images/s [10/18 17:23:31] ppdet.engine INFO: Epoch: [246] [ 0/229] learning_rate: 0.031134 loss_vfl: 0.751396 loss_bbox: 0.265954 loss_dfl: 0.184101 loss: 1.212069 eta: 7:34:24 batch_cost: 2.6588 data_cost: 1.0105 ips: 24.0709 images/s [10/18 17:24:19] ppdet.engine INFO: Epoch: [246] [ 20/229] learning_rate: 0.031036 loss_vfl: 0.740431 loss_bbox: 0.294286 loss_dfl: 0.181444 loss: 1.210565 eta: 7:33:39 batch_cost: 2.1476 data_cost: 0.0020 ips: 29.8001 images/s [10/18 17:25:06] ppdet.engine INFO: Epoch: [246] [ 40/229] learning_rate: 0.030939 loss_vfl: 0.752546 loss_bbox: 0.309258 loss_dfl: 0.198184 loss: 1.250587 eta: 7:32:55 batch_cost: 2.1989 data_cost: 0.0020 ips: 29.1054 images/s [10/18 17:25:54] ppdet.engine INFO: Epoch: [246] [ 60/229] learning_rate: 0.030841 loss_vfl: 0.741466 loss_bbox: 0.281378 loss_dfl: 0.186675 loss: 1.227499 eta: 7:32:11 batch_cost: 2.2130 data_cost: 0.0041 ips: 28.9203 images/s [10/18 17:26:41] ppdet.engine INFO: Epoch: [246] [ 80/229] learning_rate: 0.030743 loss_vfl: 0.744176 loss_bbox: 0.305360 loss_dfl: 0.187050 loss: 1.226882 eta: 7:31:27 batch_cost: 2.1394 data_cost: 0.0031 ips: 29.9147 images/s [10/18 17:27:29] ppdet.engine INFO: Epoch: [246] [100/229] learning_rate: 0.030646 loss_vfl: 0.748031 loss_bbox: 0.285687 loss_dfl: 0.194127 loss: 1.235374 eta: 7:30:43 batch_cost: 2.2325 data_cost: 0.0030 ips: 28.6675 images/s [10/18 17:28:16] ppdet.engine INFO: Epoch: [246] [120/229] learning_rate: 0.030549 loss_vfl: 0.732928 loss_bbox: 0.282331 loss_dfl: 0.188596 loss: 1.201982 eta: 7:29:59 batch_cost: 2.1808 data_cost: 0.0016 ips: 29.3473 images/s [10/18 17:29:03] ppdet.engine INFO: Epoch: [246] [140/229] learning_rate: 0.030452 loss_vfl: 0.741483 loss_bbox: 0.278367 loss_dfl: 0.183660 loss: 1.211935 eta: 7:29:14 batch_cost: 2.1366 data_cost: 0.0039 ips: 29.9546 images/s [10/18 17:29:50] ppdet.engine INFO: Epoch: [246] [160/229] learning_rate: 0.030355 loss_vfl: 0.750943 loss_bbox: 0.274734 loss_dfl: 0.182876 loss: 1.214653 eta: 7:28:30 batch_cost: 2.2120 data_cost: 0.0038 ips: 28.9329 images/s [10/18 17:30:37] ppdet.engine INFO: Epoch: [246] [180/229] learning_rate: 0.030258 loss_vfl: 0.744476 loss_bbox: 0.291126 loss_dfl: 0.187162 loss: 1.222886 eta: 7:27:46 batch_cost: 2.1797 data_cost: 0.0084 ips: 29.3625 images/s [10/18 17:31:23] ppdet.engine INFO: Epoch: [246] [200/229] learning_rate: 0.030161 loss_vfl: 0.742952 loss_bbox: 0.278089 loss_dfl: 0.182904 loss: 1.195048 eta: 7:27:01 batch_cost: 2.0814 data_cost: 0.0026 ips: 30.7487 images/s [10/18 17:32:02] ppdet.engine INFO: Epoch: [246] [220/229] learning_rate: 0.030065 loss_vfl: 0.730337 loss_bbox: 0.277928 loss_dfl: 0.186492 loss: 1.221533 eta: 7:26:15 batch_cost: 1.7209 data_cost: 0.0038 ips: 37.1902 images/s [10/18 17:32:44] ppdet.engine INFO: Epoch: [247] [ 0/229] learning_rate: 0.030021 loss_vfl: 0.742992 loss_bbox: 0.275828 loss_dfl: 0.185020 loss: 1.221027 eta: 7:25:59 batch_cost: 2.5489 data_cost: 0.9291 ips: 25.1088 images/s [10/18 17:33:31] ppdet.engine INFO: Epoch: [247] [ 20/229] learning_rate: 0.029925 loss_vfl: 0.733120 loss_bbox: 0.284326 loss_dfl: 0.183922 loss: 1.209755 eta: 7:25:14 batch_cost: 2.1901 data_cost: 0.0029 ips: 29.2227 images/s [10/18 17:34:19] ppdet.engine INFO: Epoch: [247] [ 40/229] learning_rate: 0.029829 loss_vfl: 0.739884 loss_bbox: 0.282917 loss_dfl: 0.189940 loss: 1.207195 eta: 7:24:30 batch_cost: 2.2390 data_cost: 0.0027 ips: 28.5839 images/s [10/18 17:35:07] ppdet.engine INFO: Epoch: [247] [ 60/229] learning_rate: 0.029733 loss_vfl: 0.740217 loss_bbox: 0.275721 loss_dfl: 0.184478 loss: 1.213950 eta: 7:23:46 batch_cost: 2.1798 data_cost: 0.0035 ips: 29.3604 images/s [10/18 17:35:55] ppdet.engine INFO: Epoch: [247] [ 80/229] learning_rate: 0.029637 loss_vfl: 0.741580 loss_bbox: 0.298947 loss_dfl: 0.194855 loss: 1.243465 eta: 7:23:02 batch_cost: 2.1985 data_cost: 0.0037 ips: 29.1108 images/s [10/18 17:36:41] ppdet.engine INFO: Epoch: [247] [100/229] learning_rate: 0.029541 loss_vfl: 0.726199 loss_bbox: 0.296067 loss_dfl: 0.189094 loss: 1.205837 eta: 7:22:18 batch_cost: 2.1572 data_cost: 0.0037 ips: 29.6683 images/s [10/18 17:37:29] ppdet.engine INFO: Epoch: [247] [120/229] learning_rate: 0.029446 loss_vfl: 0.747727 loss_bbox: 0.282703 loss_dfl: 0.190933 loss: 1.209913 eta: 7:21:33 batch_cost: 2.1381 data_cost: 0.0023 ips: 29.9334 images/s [10/18 17:38:16] ppdet.engine INFO: Epoch: [247] [140/229] learning_rate: 0.029350 loss_vfl: 0.728885 loss_bbox: 0.266929 loss_dfl: 0.180541 loss: 1.191333 eta: 7:20:49 batch_cost: 2.1878 data_cost: 0.0051 ips: 29.2538 images/s [10/18 17:39:03] ppdet.engine INFO: Epoch: [247] [160/229] learning_rate: 0.029255 loss_vfl: 0.728748 loss_bbox: 0.280719 loss_dfl: 0.181609 loss: 1.185771 eta: 7:20:05 batch_cost: 2.1508 data_cost: 0.0026 ips: 29.7567 images/s [10/18 17:39:49] ppdet.engine INFO: Epoch: [247] [180/229] learning_rate: 0.029160 loss_vfl: 0.750923 loss_bbox: 0.279126 loss_dfl: 0.187892 loss: 1.213534 eta: 7:19:21 batch_cost: 2.1239 data_cost: 0.0045 ips: 30.1330 images/s [10/18 17:40:35] ppdet.engine INFO: Epoch: [247] [200/229] learning_rate: 0.029065 loss_vfl: 0.732970 loss_bbox: 0.263823 loss_dfl: 0.183896 loss: 1.206936 eta: 7:18:36 batch_cost: 2.1415 data_cost: 0.0028 ips: 29.8854 images/s [10/18 17:41:14] ppdet.engine INFO: Epoch: [247] [220/229] learning_rate: 0.028970 loss_vfl: 0.735909 loss_bbox: 0.273886 loss_dfl: 0.184367 loss: 1.183959 eta: 7:17:50 batch_cost: 1.7999 data_cost: 0.0022 ips: 35.5573 images/s [10/18 17:41:56] ppdet.engine INFO: Epoch: [248] [ 0/229] learning_rate: 0.028927 loss_vfl: 0.735296 loss_bbox: 0.264849 loss_dfl: 0.185992 loss: 1.205270 eta: 7:17:34 batch_cost: 2.6089 data_cost: 0.8944 ips: 24.5312 images/s [10/18 17:42:45] ppdet.engine INFO: Epoch: [248] [ 20/229] learning_rate: 0.028832 loss_vfl: 0.739363 loss_bbox: 0.266936 loss_dfl: 0.175592 loss: 1.180950 eta: 7:16:50 batch_cost: 2.2612 data_cost: 0.0046 ips: 28.3037 images/s [10/18 17:43:31] ppdet.engine INFO: Epoch: [248] [ 40/229] learning_rate: 0.028738 loss_vfl: 0.737680 loss_bbox: 0.312224 loss_dfl: 0.193793 loss: 1.238359 eta: 7:16:06 batch_cost: 2.1808 data_cost: 0.0028 ips: 29.3468 images/s [10/18 17:44:19] ppdet.engine INFO: Epoch: [248] [ 60/229] learning_rate: 0.028644 loss_vfl: 0.739946 loss_bbox: 0.297668 loss_dfl: 0.189572 loss: 1.231704 eta: 7:15:22 batch_cost: 2.1708 data_cost: 0.0034 ips: 29.4828 images/s [10/18 17:45:06] ppdet.engine INFO: Epoch: [248] [ 80/229] learning_rate: 0.028549 loss_vfl: 0.735494 loss_bbox: 0.269202 loss_dfl: 0.189028 loss: 1.204385 eta: 7:14:37 batch_cost: 2.1726 data_cost: 0.0034 ips: 29.4580 images/s [10/18 17:45:52] ppdet.engine INFO: Epoch: [248] [100/229] learning_rate: 0.028455 loss_vfl: 0.731171 loss_bbox: 0.289348 loss_dfl: 0.189475 loss: 1.230121 eta: 7:13:53 batch_cost: 2.1476 data_cost: 0.0051 ips: 29.8013 images/s [10/18 17:46:39] ppdet.engine INFO: Epoch: [248] [120/229] learning_rate: 0.028361 loss_vfl: 0.747014 loss_bbox: 0.271258 loss_dfl: 0.181141 loss: 1.193607 eta: 7:13:09 batch_cost: 2.1791 data_cost: 0.0017 ips: 29.3705 images/s [10/18 17:47:26] ppdet.engine INFO: Epoch: [248] [140/229] learning_rate: 0.028267 loss_vfl: 0.735646 loss_bbox: 0.273609 loss_dfl: 0.185101 loss: 1.189007 eta: 7:12:25 batch_cost: 2.2299 data_cost: 0.0024 ips: 28.7004 images/s [10/18 17:48:13] ppdet.engine INFO: Epoch: [248] [160/229] learning_rate: 0.028174 loss_vfl: 0.743645 loss_bbox: 0.290464 loss_dfl: 0.188027 loss: 1.206104 eta: 7:11:41 batch_cost: 2.1855 data_cost: 0.0047 ips: 29.2845 images/s [10/18 17:48:59] ppdet.engine INFO: Epoch: [248] [180/229] learning_rate: 0.028080 loss_vfl: 0.740596 loss_bbox: 0.270691 loss_dfl: 0.187128 loss: 1.209337 eta: 7:10:56 batch_cost: 2.0949 data_cost: 0.0040 ips: 30.5507 images/s [10/18 17:49:45] ppdet.engine INFO: Epoch: [248] [200/229] learning_rate: 0.027987 loss_vfl: 0.738989 loss_bbox: 0.273761 loss_dfl: 0.181076 loss: 1.200402 eta: 7:10:11 batch_cost: 2.0578 data_cost: 0.0036 ips: 31.1007 images/s [10/18 17:50:23] ppdet.engine INFO: Epoch: [248] [220/229] learning_rate: 0.027894 loss_vfl: 0.733142 loss_bbox: 0.282670 loss_dfl: 0.187729 loss: 1.205345 eta: 7:09:25 batch_cost: 1.7477 data_cost: 0.0032 ips: 36.6190 images/s [10/18 17:51:05] ppdet.engine INFO: Epoch: [249] [ 0/229] learning_rate: 0.027852 loss_vfl: 0.742701 loss_bbox: 0.292181 loss_dfl: 0.195334 loss: 1.224210 eta: 7:09:09 batch_cost: 2.6106 data_cost: 0.9247 ips: 24.5156 images/s [10/18 17:51:54] ppdet.engine INFO: Epoch: [249] [ 20/229] learning_rate: 0.027759 loss_vfl: 0.726061 loss_bbox: 0.275030 loss_dfl: 0.186823 loss: 1.205813 eta: 7:08:24 batch_cost: 2.1021 data_cost: 0.0042 ips: 30.4452 images/s [10/18 17:52:42] ppdet.engine INFO: Epoch: [249] [ 40/229] learning_rate: 0.027666 loss_vfl: 0.727281 loss_bbox: 0.295108 loss_dfl: 0.190831 loss: 1.227170 eta: 7:07:40 batch_cost: 2.1907 data_cost: 0.0028 ips: 29.2140 images/s [10/18 17:53:29] ppdet.engine INFO: Epoch: [249] [ 60/229] learning_rate: 0.027573 loss_vfl: 0.744895 loss_bbox: 0.287257 loss_dfl: 0.189315 loss: 1.226892 eta: 7:06:56 batch_cost: 2.1878 data_cost: 0.0033 ips: 29.2532 images/s [10/18 17:54:16] ppdet.engine INFO: Epoch: [249] [ 80/229] learning_rate: 0.027480 loss_vfl: 0.744670 loss_bbox: 0.287449 loss_dfl: 0.178503 loss: 1.217557 eta: 7:06:12 batch_cost: 2.1572 data_cost: 0.0044 ips: 29.6687 images/s [10/18 17:55:03] ppdet.engine INFO: Epoch: [249] [100/229] learning_rate: 0.027388 loss_vfl: 0.733354 loss_bbox: 0.265029 loss_dfl: 0.180656 loss: 1.168915 eta: 7:05:28 batch_cost: 2.1552 data_cost: 0.0040 ips: 29.6953 images/s [10/18 17:55:51] ppdet.engine INFO: Epoch: [249] [120/229] learning_rate: 0.027296 loss_vfl: 0.755740 loss_bbox: 0.276963 loss_dfl: 0.187317 loss: 1.220286 eta: 7:04:43 batch_cost: 2.1939 data_cost: 0.0028 ips: 29.1719 images/s [10/18 17:56:40] ppdet.engine INFO: Epoch: [249] [140/229] learning_rate: 0.027203 loss_vfl: 0.736697 loss_bbox: 0.291218 loss_dfl: 0.188301 loss: 1.219710 eta: 7:03:59 batch_cost: 2.2225 data_cost: 0.0046 ips: 28.7966 images/s [10/18 17:57:26] ppdet.engine INFO: Epoch: [249] [160/229] learning_rate: 0.027111 loss_vfl: 0.741499 loss_bbox: 0.260181 loss_dfl: 0.179187 loss: 1.168182 eta: 7:03:15 batch_cost: 2.1784 data_cost: 0.0027 ips: 29.3799 images/s [10/18 17:58:13] ppdet.engine INFO: Epoch: [249] [180/229] learning_rate: 0.027019 loss_vfl: 0.725969 loss_bbox: 0.279888 loss_dfl: 0.185340 loss: 1.186735 eta: 7:02:31 batch_cost: 2.1402 data_cost: 0.0049 ips: 29.9043 images/s [10/18 17:58:59] ppdet.engine INFO: Epoch: [249] [200/229] learning_rate: 0.026928 loss_vfl: 0.747186 loss_bbox: 0.290789 loss_dfl: 0.192067 loss: 1.235526 eta: 7:01:47 batch_cost: 2.1585 data_cost: 0.0038 ips: 29.6497 images/s [10/18 17:59:37] ppdet.engine INFO: Epoch: [249] [220/229] learning_rate: 0.026836 loss_vfl: 0.736538 loss_bbox: 0.298318 loss_dfl: 0.189133 loss: 1.237231 eta: 7:01:01 batch_cost: 1.7700 data_cost: 0.0071 ips: 36.1589 images/s [10/18 17:59:51] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 17:59:52] ppdet.engine INFO: Eval iter: 0 [10/18 18:00:34] ppdet.engine INFO: Eval iter: 100 [10/18 18:00:48] ppdet.engine INFO: Eval iter: 200 [10/18 18:01:02] ppdet.engine INFO: Eval iter: 300 [10/18 18:01:16] ppdet.engine INFO: Eval iter: 400 [10/18 18:01:31] ppdet.engine INFO: Eval iter: 500 [10/18 18:01:46] ppdet.engine INFO: Eval iter: 600 [10/18 18:01:58] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.98s) creating index... index created! [10/18 18:01:59] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.91s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.47s). Accumulating evaluation results... DONE (t=13.54s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.324 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096 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 ] = 0.525 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.278 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.428 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 ] = 0.164 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 ] = 0.723 [10/18 18:03:20] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.8845406160433 [10/18 18:03:20] ppdet.engine INFO: Best test bbox ap is 0.309. [10/18 18:03:22] ppdet.engine INFO: Epoch: [250] [ 0/229] learning_rate: 0.026795 loss_vfl: 0.742217 loss_bbox: 0.289689 loss_dfl: 0.189857 loss: 1.236295 eta: 7:00:39 batch_cost: 1.2932 data_cost: 0.0036 ips: 49.4894 images/s [10/18 18:04:09] ppdet.engine INFO: Epoch: [250] [ 20/229] learning_rate: 0.026704 loss_vfl: 0.737950 loss_bbox: 0.269325 loss_dfl: 0.177924 loss: 1.198227 eta: 6:59:55 batch_cost: 2.1747 data_cost: 0.0085 ips: 29.4297 images/s [10/18 18:04:56] ppdet.engine INFO: Epoch: [250] [ 40/229] learning_rate: 0.026612 loss_vfl: 0.727772 loss_bbox: 0.284397 loss_dfl: 0.186692 loss: 1.207241 eta: 6:59:10 batch_cost: 2.1693 data_cost: 0.0033 ips: 29.5024 images/s [10/18 18:05:43] ppdet.engine INFO: Epoch: [250] [ 60/229] learning_rate: 0.026521 loss_vfl: 0.720133 loss_bbox: 0.302117 loss_dfl: 0.191371 loss: 1.220324 eta: 6:58:26 batch_cost: 2.2169 data_cost: 0.0083 ips: 28.8687 images/s [10/18 18:06:32] ppdet.engine INFO: Epoch: [250] [ 80/229] learning_rate: 0.026430 loss_vfl: 0.729451 loss_bbox: 0.290948 loss_dfl: 0.197963 loss: 1.234896 eta: 6:57:42 batch_cost: 2.2395 data_cost: 0.0020 ips: 28.5774 images/s [10/18 18:07:19] ppdet.engine INFO: Epoch: [250] [100/229] learning_rate: 0.026339 loss_vfl: 0.736586 loss_bbox: 0.273907 loss_dfl: 0.181741 loss: 1.197572 eta: 6:56:58 batch_cost: 2.1749 data_cost: 0.0063 ips: 29.4262 images/s [10/18 18:08:06] ppdet.engine INFO: Epoch: [250] [120/229] learning_rate: 0.026249 loss_vfl: 0.744362 loss_bbox: 0.249062 loss_dfl: 0.169991 loss: 1.175996 eta: 6:56:14 batch_cost: 2.1895 data_cost: 0.0017 ips: 29.2308 images/s [10/18 18:08:54] ppdet.engine INFO: Epoch: [250] [140/229] learning_rate: 0.026158 loss_vfl: 0.735593 loss_bbox: 0.277090 loss_dfl: 0.192129 loss: 1.219041 eta: 6:55:30 batch_cost: 2.1948 data_cost: 0.0022 ips: 29.1600 images/s [10/18 18:09:41] ppdet.engine INFO: Epoch: [250] [160/229] learning_rate: 0.026068 loss_vfl: 0.741757 loss_bbox: 0.302030 loss_dfl: 0.186125 loss: 1.207927 eta: 6:54:46 batch_cost: 2.1968 data_cost: 0.0030 ips: 29.1328 images/s [10/18 18:10:28] ppdet.engine INFO: Epoch: [250] [180/229] learning_rate: 0.025978 loss_vfl: 0.731912 loss_bbox: 0.297689 loss_dfl: 0.188590 loss: 1.221242 eta: 6:54:02 batch_cost: 2.1624 data_cost: 0.0031 ips: 29.5972 images/s [10/18 18:11:15] ppdet.engine INFO: Epoch: [250] [200/229] learning_rate: 0.025888 loss_vfl: 0.741716 loss_bbox: 0.285203 loss_dfl: 0.185844 loss: 1.212333 eta: 6:53:17 batch_cost: 2.1661 data_cost: 0.0029 ips: 29.5465 images/s [10/18 18:11:53] ppdet.engine INFO: Epoch: [250] [220/229] learning_rate: 0.025798 loss_vfl: 0.738375 loss_bbox: 0.293521 loss_dfl: 0.187879 loss: 1.214320 eta: 6:52:32 batch_cost: 1.7861 data_cost: 0.0028 ips: 35.8320 images/s [10/18 18:12:35] ppdet.engine INFO: Epoch: [251] [ 0/229] learning_rate: 0.025757 loss_vfl: 0.742673 loss_bbox: 0.297849 loss_dfl: 0.190550 loss: 1.221471 eta: 6:52:15 batch_cost: 2.5983 data_cost: 1.0344 ips: 24.6312 images/s [10/18 18:13:24] ppdet.engine INFO: Epoch: [251] [ 20/229] learning_rate: 0.025668 loss_vfl: 0.740168 loss_bbox: 0.291129 loss_dfl: 0.194726 loss: 1.218659 eta: 6:51:31 batch_cost: 2.2285 data_cost: 0.0068 ips: 28.7192 images/s [10/18 18:14:11] ppdet.engine INFO: Epoch: [251] [ 40/229] learning_rate: 0.025578 loss_vfl: 0.734661 loss_bbox: 0.265318 loss_dfl: 0.177931 loss: 1.171029 eta: 6:50:47 batch_cost: 2.1568 data_cost: 0.0043 ips: 29.6729 images/s [10/18 18:14:59] ppdet.engine INFO: Epoch: [251] [ 60/229] learning_rate: 0.025489 loss_vfl: 0.730020 loss_bbox: 0.283439 loss_dfl: 0.197229 loss: 1.231667 eta: 6:50:03 batch_cost: 2.2466 data_cost: 0.0025 ips: 28.4870 images/s [10/18 18:15:46] ppdet.engine INFO: Epoch: [251] [ 80/229] learning_rate: 0.025399 loss_vfl: 0.745408 loss_bbox: 0.270416 loss_dfl: 0.185577 loss: 1.213347 eta: 6:49:19 batch_cost: 2.1930 data_cost: 0.0047 ips: 29.1837 images/s [10/18 18:16:34] ppdet.engine INFO: Epoch: [251] [100/229] learning_rate: 0.025310 loss_vfl: 0.720005 loss_bbox: 0.262544 loss_dfl: 0.186753 loss: 1.183708 eta: 6:48:35 batch_cost: 2.2044 data_cost: 0.0039 ips: 29.0333 images/s [10/18 18:17:21] ppdet.engine INFO: Epoch: [251] [120/229] learning_rate: 0.025221 loss_vfl: 0.733335 loss_bbox: 0.284375 loss_dfl: 0.185341 loss: 1.209152 eta: 6:47:50 batch_cost: 2.1739 data_cost: 0.0028 ips: 29.4404 images/s [10/18 18:18:08] ppdet.engine INFO: Epoch: [251] [140/229] learning_rate: 0.025132 loss_vfl: 0.733734 loss_bbox: 0.299870 loss_dfl: 0.187775 loss: 1.220904 eta: 6:47:06 batch_cost: 2.2091 data_cost: 0.0034 ips: 28.9717 images/s [10/18 18:18:55] ppdet.engine INFO: Epoch: [251] [160/229] learning_rate: 0.025044 loss_vfl: 0.736816 loss_bbox: 0.275066 loss_dfl: 0.183471 loss: 1.206859 eta: 6:46:22 batch_cost: 2.1941 data_cost: 0.0037 ips: 29.1693 images/s [10/18 18:19:40] ppdet.engine INFO: Epoch: [251] [180/229] learning_rate: 0.024955 loss_vfl: 0.745695 loss_bbox: 0.292809 loss_dfl: 0.196383 loss: 1.242968 eta: 6:45:38 batch_cost: 2.0476 data_cost: 0.0037 ips: 31.2562 images/s [10/18 18:20:26] ppdet.engine INFO: Epoch: [251] [200/229] learning_rate: 0.024867 loss_vfl: 0.728667 loss_bbox: 0.290827 loss_dfl: 0.186565 loss: 1.203798 eta: 6:44:53 batch_cost: 2.1281 data_cost: 0.0031 ips: 30.0736 images/s [10/18 18:21:05] ppdet.engine INFO: Epoch: [251] [220/229] learning_rate: 0.024778 loss_vfl: 0.729517 loss_bbox: 0.285787 loss_dfl: 0.190591 loss: 1.191789 eta: 6:44:07 batch_cost: 1.7624 data_cost: 0.0039 ips: 36.3133 images/s [10/18 18:21:46] ppdet.engine INFO: Epoch: [252] [ 0/229] learning_rate: 0.024739 loss_vfl: 0.751181 loss_bbox: 0.287972 loss_dfl: 0.195401 loss: 1.206877 eta: 6:43:51 batch_cost: 2.5923 data_cost: 0.9945 ips: 24.6886 images/s [10/18 18:22:36] ppdet.engine INFO: Epoch: [252] [ 20/229] learning_rate: 0.024651 loss_vfl: 0.721878 loss_bbox: 0.281195 loss_dfl: 0.179981 loss: 1.193023 eta: 6:43:07 batch_cost: 2.2890 data_cost: 0.0049 ips: 27.9595 images/s [10/18 18:23:23] ppdet.engine INFO: Epoch: [252] [ 40/229] learning_rate: 0.024563 loss_vfl: 0.744795 loss_bbox: 0.275208 loss_dfl: 0.189390 loss: 1.212524 eta: 6:42:23 batch_cost: 2.1709 data_cost: 0.0046 ips: 29.4804 images/s [10/18 18:24:10] ppdet.engine INFO: Epoch: [252] [ 60/229] learning_rate: 0.024475 loss_vfl: 0.730660 loss_bbox: 0.290640 loss_dfl: 0.190027 loss: 1.212208 eta: 6:41:38 batch_cost: 2.1749 data_cost: 0.0048 ips: 29.4263 images/s [10/18 18:24:57] ppdet.engine INFO: Epoch: [252] [ 80/229] learning_rate: 0.024387 loss_vfl: 0.740778 loss_bbox: 0.294127 loss_dfl: 0.194407 loss: 1.242446 eta: 6:40:54 batch_cost: 2.1447 data_cost: 0.0034 ips: 29.8414 images/s [10/18 18:25:44] ppdet.engine INFO: Epoch: [252] [100/229] learning_rate: 0.024300 loss_vfl: 0.733194 loss_bbox: 0.283274 loss_dfl: 0.190754 loss: 1.211470 eta: 6:40:10 batch_cost: 2.1774 data_cost: 0.0042 ips: 29.3932 images/s [10/18 18:26:31] ppdet.engine INFO: Epoch: [252] [120/229] learning_rate: 0.024213 loss_vfl: 0.724992 loss_bbox: 0.270672 loss_dfl: 0.184908 loss: 1.205347 eta: 6:39:26 batch_cost: 2.1343 data_cost: 0.0060 ips: 29.9858 images/s [10/18 18:27:18] ppdet.engine INFO: Epoch: [252] [140/229] learning_rate: 0.024125 loss_vfl: 0.740569 loss_bbox: 0.286153 loss_dfl: 0.188438 loss: 1.204851 eta: 6:38:41 batch_cost: 2.1659 data_cost: 0.0033 ips: 29.5485 images/s [10/18 18:28:06] ppdet.engine INFO: Epoch: [252] [160/229] learning_rate: 0.024038 loss_vfl: 0.744605 loss_bbox: 0.286254 loss_dfl: 0.178735 loss: 1.216998 eta: 6:37:57 batch_cost: 2.1999 data_cost: 0.0020 ips: 29.0926 images/s [10/18 18:28:52] ppdet.engine INFO: Epoch: [252] [180/229] learning_rate: 0.023952 loss_vfl: 0.738540 loss_bbox: 0.278348 loss_dfl: 0.186794 loss: 1.211477 eta: 6:37:13 batch_cost: 2.1595 data_cost: 0.0018 ips: 29.6359 images/s [10/18 18:29:38] ppdet.engine INFO: Epoch: [252] [200/229] learning_rate: 0.023865 loss_vfl: 0.748371 loss_bbox: 0.272522 loss_dfl: 0.172540 loss: 1.204694 eta: 6:36:29 batch_cost: 2.0938 data_cost: 0.0036 ips: 30.5665 images/s [10/18 18:30:17] ppdet.engine INFO: Epoch: [252] [220/229] learning_rate: 0.023778 loss_vfl: 0.732845 loss_bbox: 0.277324 loss_dfl: 0.180556 loss: 1.191959 eta: 6:35:43 batch_cost: 1.7620 data_cost: 0.0017 ips: 36.3230 images/s [10/18 18:31:00] ppdet.engine INFO: Epoch: [253] [ 0/229] learning_rate: 0.023739 loss_vfl: 0.734937 loss_bbox: 0.282297 loss_dfl: 0.188953 loss: 1.217631 eta: 6:35:26 batch_cost: 2.6880 data_cost: 1.0325 ips: 23.8095 images/s [10/18 18:31:47] ppdet.engine INFO: Epoch: [253] [ 20/229] learning_rate: 0.023653 loss_vfl: 0.729706 loss_bbox: 0.294295 loss_dfl: 0.186745 loss: 1.222010 eta: 6:34:42 batch_cost: 2.1196 data_cost: 0.0036 ips: 30.1948 images/s [10/18 18:32:33] ppdet.engine INFO: Epoch: [253] [ 40/229] learning_rate: 0.023567 loss_vfl: 0.724420 loss_bbox: 0.288025 loss_dfl: 0.196475 loss: 1.200332 eta: 6:33:58 batch_cost: 2.1625 data_cost: 0.0054 ips: 29.5952 images/s [10/18 18:33:20] ppdet.engine INFO: Epoch: [253] [ 60/229] learning_rate: 0.023481 loss_vfl: 0.738845 loss_bbox: 0.295982 loss_dfl: 0.192013 loss: 1.225758 eta: 6:33:13 batch_cost: 2.1273 data_cost: 0.0035 ips: 30.0848 images/s [10/18 18:34:08] ppdet.engine INFO: Epoch: [253] [ 80/229] learning_rate: 0.023395 loss_vfl: 0.727681 loss_bbox: 0.303589 loss_dfl: 0.203349 loss: 1.224527 eta: 6:32:29 batch_cost: 2.2537 data_cost: 0.0044 ips: 28.3977 images/s [10/18 18:34:55] ppdet.engine INFO: Epoch: [253] [100/229] learning_rate: 0.023309 loss_vfl: 0.747618 loss_bbox: 0.292991 loss_dfl: 0.189623 loss: 1.223796 eta: 6:31:45 batch_cost: 2.1379 data_cost: 0.0030 ips: 29.9352 images/s [10/18 18:35:41] ppdet.engine INFO: Epoch: [253] [120/229] learning_rate: 0.023223 loss_vfl: 0.733034 loss_bbox: 0.282920 loss_dfl: 0.185147 loss: 1.198204 eta: 6:31:01 batch_cost: 2.1402 data_cost: 0.0040 ips: 29.9034 images/s [10/18 18:36:29] ppdet.engine INFO: Epoch: [253] [140/229] learning_rate: 0.023138 loss_vfl: 0.741225 loss_bbox: 0.281373 loss_dfl: 0.182856 loss: 1.198152 eta: 6:30:17 batch_cost: 2.2429 data_cost: 0.0018 ips: 28.5342 images/s [10/18 18:37:16] ppdet.engine INFO: Epoch: [253] [160/229] learning_rate: 0.023053 loss_vfl: 0.744617 loss_bbox: 0.281034 loss_dfl: 0.183725 loss: 1.197909 eta: 6:29:33 batch_cost: 2.1718 data_cost: 0.0051 ips: 29.4686 images/s [10/18 18:38:03] ppdet.engine INFO: Epoch: [253] [180/229] learning_rate: 0.022967 loss_vfl: 0.730163 loss_bbox: 0.267790 loss_dfl: 0.181682 loss: 1.187531 eta: 6:28:48 batch_cost: 2.1817 data_cost: 0.0032 ips: 29.3356 images/s [10/18 18:38:49] ppdet.engine INFO: Epoch: [253] [200/229] learning_rate: 0.022882 loss_vfl: 0.731341 loss_bbox: 0.262212 loss_dfl: 0.178251 loss: 1.193514 eta: 6:28:04 batch_cost: 2.1395 data_cost: 0.0029 ips: 29.9138 images/s [10/18 18:39:27] ppdet.engine INFO: Epoch: [253] [220/229] learning_rate: 0.022797 loss_vfl: 0.734089 loss_bbox: 0.290618 loss_dfl: 0.193315 loss: 1.218106 eta: 6:27:19 batch_cost: 1.7866 data_cost: 0.0017 ips: 35.8229 images/s [10/18 18:40:10] ppdet.engine INFO: Epoch: [254] [ 0/229] learning_rate: 0.022759 loss_vfl: 0.732118 loss_bbox: 0.280741 loss_dfl: 0.185984 loss: 1.206019 eta: 6:27:02 batch_cost: 2.6574 data_cost: 0.6719 ips: 24.0834 images/s [10/18 18:40:59] ppdet.engine INFO: Epoch: [254] [ 20/229] learning_rate: 0.022675 loss_vfl: 0.724488 loss_bbox: 0.281370 loss_dfl: 0.187701 loss: 1.190605 eta: 6:26:18 batch_cost: 2.3090 data_cost: 0.0035 ips: 27.7172 images/s [10/18 18:41:47] ppdet.engine INFO: Epoch: [254] [ 40/229] learning_rate: 0.022590 loss_vfl: 0.728869 loss_bbox: 0.283309 loss_dfl: 0.179314 loss: 1.186236 eta: 6:25:34 batch_cost: 2.1922 data_cost: 0.0046 ips: 29.1947 images/s [10/18 18:42:34] ppdet.engine INFO: Epoch: [254] [ 60/229] learning_rate: 0.022506 loss_vfl: 0.750232 loss_bbox: 0.290674 loss_dfl: 0.187378 loss: 1.224513 eta: 6:24:50 batch_cost: 2.1839 data_cost: 0.0018 ips: 29.3057 images/s [10/18 18:43:20] ppdet.engine INFO: Epoch: [254] [ 80/229] learning_rate: 0.022421 loss_vfl: 0.736810 loss_bbox: 0.283687 loss_dfl: 0.183611 loss: 1.199323 eta: 6:24:05 batch_cost: 2.1469 data_cost: 0.0033 ips: 29.8104 images/s [10/18 18:44:08] ppdet.engine INFO: Epoch: [254] [100/229] learning_rate: 0.022337 loss_vfl: 0.728469 loss_bbox: 0.259152 loss_dfl: 0.177420 loss: 1.176626 eta: 6:23:21 batch_cost: 2.2146 data_cost: 0.0018 ips: 28.8991 images/s [10/18 18:44:54] ppdet.engine INFO: Epoch: [254] [120/229] learning_rate: 0.022253 loss_vfl: 0.737272 loss_bbox: 0.277784 loss_dfl: 0.184863 loss: 1.199536 eta: 6:22:37 batch_cost: 2.1328 data_cost: 0.0036 ips: 30.0074 images/s [10/18 18:45:41] ppdet.engine INFO: Epoch: [254] [140/229] learning_rate: 0.022170 loss_vfl: 0.726089 loss_bbox: 0.273082 loss_dfl: 0.193612 loss: 1.199204 eta: 6:21:53 batch_cost: 2.1740 data_cost: 0.0023 ips: 29.4384 images/s [10/18 18:46:29] ppdet.engine INFO: Epoch: [254] [160/229] learning_rate: 0.022086 loss_vfl: 0.733326 loss_bbox: 0.275971 loss_dfl: 0.191198 loss: 1.185871 eta: 6:21:09 batch_cost: 2.2100 data_cost: 0.0022 ips: 28.9594 images/s [10/18 18:47:15] ppdet.engine INFO: Epoch: [254] [180/229] learning_rate: 0.022003 loss_vfl: 0.728349 loss_bbox: 0.284002 loss_dfl: 0.187453 loss: 1.197057 eta: 6:20:25 batch_cost: 2.1676 data_cost: 0.0035 ips: 29.5254 images/s [10/18 18:48:02] ppdet.engine INFO: Epoch: [254] [200/229] learning_rate: 0.021919 loss_vfl: 0.736061 loss_bbox: 0.273809 loss_dfl: 0.181576 loss: 1.192699 eta: 6:19:40 batch_cost: 2.1755 data_cost: 0.0027 ips: 29.4183 images/s [10/18 18:48:40] ppdet.engine INFO: Epoch: [254] [220/229] learning_rate: 0.021836 loss_vfl: 0.743783 loss_bbox: 0.286264 loss_dfl: 0.191994 loss: 1.211115 eta: 6:18:55 batch_cost: 1.7542 data_cost: 0.0028 ips: 36.4831 images/s [10/18 18:49:23] ppdet.engine INFO: Epoch: [255] [ 0/229] learning_rate: 0.021799 loss_vfl: 0.740714 loss_bbox: 0.270452 loss_dfl: 0.186875 loss: 1.204926 eta: 6:18:38 batch_cost: 2.7098 data_cost: 0.8214 ips: 23.6183 images/s [10/18 18:50:11] ppdet.engine INFO: Epoch: [255] [ 20/229] learning_rate: 0.021716 loss_vfl: 0.733390 loss_bbox: 0.300501 loss_dfl: 0.194093 loss: 1.208310 eta: 6:17:54 batch_cost: 2.2143 data_cost: 0.0044 ips: 28.9037 images/s [10/18 18:50:59] ppdet.engine INFO: Epoch: [255] [ 40/229] learning_rate: 0.021633 loss_vfl: 0.734807 loss_bbox: 0.283589 loss_dfl: 0.183843 loss: 1.194982 eta: 6:17:10 batch_cost: 2.1879 data_cost: 0.0086 ips: 29.2517 images/s [10/18 18:51:47] ppdet.engine INFO: Epoch: [255] [ 60/229] learning_rate: 0.021550 loss_vfl: 0.732762 loss_bbox: 0.295165 loss_dfl: 0.191920 loss: 1.221745 eta: 6:16:26 batch_cost: 2.2111 data_cost: 0.0039 ips: 28.9450 images/s [10/18 18:52:33] ppdet.engine INFO: Epoch: [255] [ 80/229] learning_rate: 0.021468 loss_vfl: 0.726258 loss_bbox: 0.270416 loss_dfl: 0.182261 loss: 1.196094 eta: 6:15:42 batch_cost: 2.1340 data_cost: 0.0077 ips: 29.9909 images/s [10/18 18:53:21] ppdet.engine INFO: Epoch: [255] [100/229] learning_rate: 0.021385 loss_vfl: 0.727715 loss_bbox: 0.275659 loss_dfl: 0.185476 loss: 1.189894 eta: 6:14:57 batch_cost: 2.1986 data_cost: 0.0056 ips: 29.1090 images/s [10/18 18:54:08] ppdet.engine INFO: Epoch: [255] [120/229] learning_rate: 0.021303 loss_vfl: 0.728250 loss_bbox: 0.284883 loss_dfl: 0.188775 loss: 1.210711 eta: 6:14:13 batch_cost: 2.1339 data_cost: 0.0050 ips: 29.9924 images/s [10/18 18:54:54] ppdet.engine INFO: Epoch: [255] [140/229] learning_rate: 0.021221 loss_vfl: 0.722962 loss_bbox: 0.287402 loss_dfl: 0.184597 loss: 1.195165 eta: 6:13:29 batch_cost: 2.1692 data_cost: 0.0032 ips: 29.5034 images/s [10/18 18:55:41] ppdet.engine INFO: Epoch: [255] [160/229] learning_rate: 0.021139 loss_vfl: 0.730136 loss_bbox: 0.281853 loss_dfl: 0.187786 loss: 1.194605 eta: 6:12:44 batch_cost: 2.1029 data_cost: 0.0056 ips: 30.4341 images/s [10/18 18:56:26] ppdet.engine INFO: Epoch: [255] [180/229] learning_rate: 0.021057 loss_vfl: 0.728423 loss_bbox: 0.288935 loss_dfl: 0.192704 loss: 1.223341 eta: 6:12:00 batch_cost: 2.0750 data_cost: 0.0037 ips: 30.8431 images/s [10/18 18:57:12] ppdet.engine INFO: Epoch: [255] [200/229] learning_rate: 0.020976 loss_vfl: 0.734905 loss_bbox: 0.267566 loss_dfl: 0.180984 loss: 1.206433 eta: 6:11:16 batch_cost: 2.1172 data_cost: 0.0042 ips: 30.2281 images/s [10/18 18:57:52] ppdet.engine INFO: Epoch: [255] [220/229] learning_rate: 0.020894 loss_vfl: 0.739379 loss_bbox: 0.271957 loss_dfl: 0.183387 loss: 1.190491 eta: 6:10:30 batch_cost: 1.8371 data_cost: 0.0034 ips: 34.8368 images/s [10/18 18:58:33] ppdet.engine INFO: Epoch: [256] [ 0/229] learning_rate: 0.020858 loss_vfl: 0.740168 loss_bbox: 0.262651 loss_dfl: 0.184256 loss: 1.185698 eta: 6:10:13 batch_cost: 2.6425 data_cost: 0.7943 ips: 24.2194 images/s [10/18 18:59:22] ppdet.engine INFO: Epoch: [256] [ 20/229] learning_rate: 0.020776 loss_vfl: 0.735335 loss_bbox: 0.284527 loss_dfl: 0.182396 loss: 1.195407 eta: 6:09:29 batch_cost: 2.2505 data_cost: 0.0030 ips: 28.4381 images/s [10/18 19:00:09] ppdet.engine INFO: Epoch: [256] [ 40/229] learning_rate: 0.020695 loss_vfl: 0.725459 loss_bbox: 0.294687 loss_dfl: 0.192454 loss: 1.211398 eta: 6:08:45 batch_cost: 2.1573 data_cost: 0.0028 ips: 29.6669 images/s [10/18 19:00:56] ppdet.engine INFO: Epoch: [256] [ 60/229] learning_rate: 0.020614 loss_vfl: 0.732212 loss_bbox: 0.285071 loss_dfl: 0.186698 loss: 1.214390 eta: 6:08:01 batch_cost: 2.1857 data_cost: 0.0085 ips: 29.2818 images/s [10/18 19:01:43] ppdet.engine INFO: Epoch: [256] [ 80/229] learning_rate: 0.020534 loss_vfl: 0.734595 loss_bbox: 0.303251 loss_dfl: 0.193549 loss: 1.228274 eta: 6:07:17 batch_cost: 2.1819 data_cost: 0.0044 ips: 29.3320 images/s [10/18 19:02:29] ppdet.engine INFO: Epoch: [256] [100/229] learning_rate: 0.020453 loss_vfl: 0.734354 loss_bbox: 0.281377 loss_dfl: 0.188968 loss: 1.212171 eta: 6:06:32 batch_cost: 2.1361 data_cost: 0.0031 ips: 29.9616 images/s [10/18 19:03:16] ppdet.engine INFO: Epoch: [256] [120/229] learning_rate: 0.020372 loss_vfl: 0.735068 loss_bbox: 0.281197 loss_dfl: 0.185373 loss: 1.193514 eta: 6:05:48 batch_cost: 2.1398 data_cost: 0.0104 ips: 29.9097 images/s [10/18 19:04:04] ppdet.engine INFO: Epoch: [256] [140/229] learning_rate: 0.020292 loss_vfl: 0.739950 loss_bbox: 0.277481 loss_dfl: 0.189088 loss: 1.207083 eta: 6:05:04 batch_cost: 2.2042 data_cost: 0.0064 ips: 29.0356 images/s [10/18 19:04:51] ppdet.engine INFO: Epoch: [256] [160/229] learning_rate: 0.020212 loss_vfl: 0.727123 loss_bbox: 0.271205 loss_dfl: 0.188137 loss: 1.201816 eta: 6:04:20 batch_cost: 2.2098 data_cost: 0.0018 ips: 28.9618 images/s [10/18 19:05:38] ppdet.engine INFO: Epoch: [256] [180/229] learning_rate: 0.020132 loss_vfl: 0.732450 loss_bbox: 0.294343 loss_dfl: 0.188498 loss: 1.211055 eta: 6:03:36 batch_cost: 2.1936 data_cost: 0.0046 ips: 29.1754 images/s [10/18 19:06:24] ppdet.engine INFO: Epoch: [256] [200/229] learning_rate: 0.020052 loss_vfl: 0.719881 loss_bbox: 0.270750 loss_dfl: 0.180391 loss: 1.191599 eta: 6:02:51 batch_cost: 2.1341 data_cost: 0.0032 ips: 29.9888 images/s [10/18 19:07:01] ppdet.engine INFO: Epoch: [256] [220/229] learning_rate: 0.019972 loss_vfl: 0.743687 loss_bbox: 0.279732 loss_dfl: 0.190941 loss: 1.227082 eta: 6:02:06 batch_cost: 1.7363 data_cost: 0.0035 ips: 36.8598 images/s [10/18 19:07:45] ppdet.engine INFO: Epoch: [257] [ 0/229] learning_rate: 0.019936 loss_vfl: 0.748453 loss_bbox: 0.281463 loss_dfl: 0.183431 loss: 1.223028 eta: 6:01:49 batch_cost: 2.7249 data_cost: 0.9841 ips: 23.4870 images/s [10/18 19:08:33] ppdet.engine INFO: Epoch: [257] [ 20/229] learning_rate: 0.019857 loss_vfl: 0.728390 loss_bbox: 0.277312 loss_dfl: 0.184762 loss: 1.193685 eta: 6:01:05 batch_cost: 2.1644 data_cost: 0.0066 ips: 29.5695 images/s [10/18 19:09:20] ppdet.engine INFO: Epoch: [257] [ 40/229] learning_rate: 0.019777 loss_vfl: 0.717118 loss_bbox: 0.269552 loss_dfl: 0.181497 loss: 1.165773 eta: 6:00:21 batch_cost: 2.1834 data_cost: 0.0061 ips: 29.3122 images/s [10/18 19:10:08] ppdet.engine INFO: Epoch: [257] [ 60/229] learning_rate: 0.019698 loss_vfl: 0.749457 loss_bbox: 0.271537 loss_dfl: 0.185116 loss: 1.209814 eta: 5:59:36 batch_cost: 2.1562 data_cost: 0.0059 ips: 29.6817 images/s [10/18 19:10:54] ppdet.engine INFO: Epoch: [257] [ 80/229] learning_rate: 0.019619 loss_vfl: 0.725292 loss_bbox: 0.274671 loss_dfl: 0.183101 loss: 1.205208 eta: 5:58:52 batch_cost: 2.1495 data_cost: 0.0031 ips: 29.7750 images/s [10/18 19:11:40] ppdet.engine INFO: Epoch: [257] [100/229] learning_rate: 0.019540 loss_vfl: 0.739058 loss_bbox: 0.270339 loss_dfl: 0.179136 loss: 1.197479 eta: 5:58:08 batch_cost: 2.1286 data_cost: 0.0036 ips: 30.0666 images/s [10/18 19:12:27] ppdet.engine INFO: Epoch: [257] [120/229] learning_rate: 0.019461 loss_vfl: 0.737980 loss_bbox: 0.275054 loss_dfl: 0.191780 loss: 1.180777 eta: 5:57:24 batch_cost: 2.1751 data_cost: 0.0060 ips: 29.4240 images/s [10/18 19:13:15] ppdet.engine INFO: Epoch: [257] [140/229] learning_rate: 0.019383 loss_vfl: 0.739620 loss_bbox: 0.267981 loss_dfl: 0.175313 loss: 1.189391 eta: 5:56:40 batch_cost: 2.2020 data_cost: 0.0062 ips: 29.0643 images/s [10/18 19:14:01] ppdet.engine INFO: Epoch: [257] [160/229] learning_rate: 0.019304 loss_vfl: 0.719706 loss_bbox: 0.286655 loss_dfl: 0.192248 loss: 1.213907 eta: 5:55:55 batch_cost: 2.1586 data_cost: 0.0024 ips: 29.6486 images/s [10/18 19:14:48] ppdet.engine INFO: Epoch: [257] [180/229] learning_rate: 0.019226 loss_vfl: 0.735578 loss_bbox: 0.290000 loss_dfl: 0.189709 loss: 1.206567 eta: 5:55:11 batch_cost: 2.1827 data_cost: 0.0066 ips: 29.3219 images/s [10/18 19:15:33] ppdet.engine INFO: Epoch: [257] [200/229] learning_rate: 0.019148 loss_vfl: 0.736948 loss_bbox: 0.270642 loss_dfl: 0.178065 loss: 1.163276 eta: 5:54:27 batch_cost: 2.0859 data_cost: 0.0037 ips: 30.6821 images/s [10/18 19:16:11] ppdet.engine INFO: Epoch: [257] [220/229] learning_rate: 0.019070 loss_vfl: 0.729224 loss_bbox: 0.272809 loss_dfl: 0.181899 loss: 1.186280 eta: 5:53:41 batch_cost: 1.7548 data_cost: 0.0020 ips: 36.4705 images/s [10/18 19:16:55] ppdet.engine INFO: Epoch: [258] [ 0/229] learning_rate: 0.019035 loss_vfl: 0.736332 loss_bbox: 0.291905 loss_dfl: 0.182803 loss: 1.186280 eta: 5:53:24 batch_cost: 2.7117 data_cost: 0.8384 ips: 23.6011 images/s [10/18 19:17:44] ppdet.engine INFO: Epoch: [258] [ 20/229] learning_rate: 0.018957 loss_vfl: 0.723642 loss_bbox: 0.305019 loss_dfl: 0.202822 loss: 1.225140 eta: 5:52:40 batch_cost: 2.2130 data_cost: 0.0030 ips: 28.9203 images/s [10/18 19:18:31] ppdet.engine INFO: Epoch: [258] [ 40/229] learning_rate: 0.018879 loss_vfl: 0.741424 loss_bbox: 0.277229 loss_dfl: 0.180243 loss: 1.206319 eta: 5:51:56 batch_cost: 2.1661 data_cost: 0.0050 ips: 29.5460 images/s [10/18 19:19:19] ppdet.engine INFO: Epoch: [258] [ 60/229] learning_rate: 0.018802 loss_vfl: 0.728808 loss_bbox: 0.284763 loss_dfl: 0.188497 loss: 1.199180 eta: 5:51:12 batch_cost: 2.2178 data_cost: 0.0033 ips: 28.8569 images/s [10/18 19:20:07] ppdet.engine INFO: Epoch: [258] [ 80/229] learning_rate: 0.018724 loss_vfl: 0.734011 loss_bbox: 0.283781 loss_dfl: 0.190647 loss: 1.223902 eta: 5:50:28 batch_cost: 2.1858 data_cost: 0.0044 ips: 29.2805 images/s [10/18 19:20:53] ppdet.engine INFO: Epoch: [258] [100/229] learning_rate: 0.018647 loss_vfl: 0.746218 loss_bbox: 0.285183 loss_dfl: 0.187811 loss: 1.226119 eta: 5:49:44 batch_cost: 2.1558 data_cost: 0.0039 ips: 29.6867 images/s [10/18 19:21:40] ppdet.engine INFO: Epoch: [258] [120/229] learning_rate: 0.018570 loss_vfl: 0.726152 loss_bbox: 0.278496 loss_dfl: 0.183006 loss: 1.195833 eta: 5:48:59 batch_cost: 2.1882 data_cost: 0.0042 ips: 29.2472 images/s [10/18 19:22:27] ppdet.engine INFO: Epoch: [258] [140/229] learning_rate: 0.018493 loss_vfl: 0.747773 loss_bbox: 0.286260 loss_dfl: 0.187313 loss: 1.217260 eta: 5:48:15 batch_cost: 2.1847 data_cost: 0.0027 ips: 29.2940 images/s [10/18 19:23:14] ppdet.engine INFO: Epoch: [258] [160/229] learning_rate: 0.018416 loss_vfl: 0.732779 loss_bbox: 0.271384 loss_dfl: 0.195284 loss: 1.206975 eta: 5:47:31 batch_cost: 2.2244 data_cost: 0.0017 ips: 28.7719 images/s [10/18 19:24:01] ppdet.engine INFO: Epoch: [258] [180/229] learning_rate: 0.018340 loss_vfl: 0.725510 loss_bbox: 0.278869 loss_dfl: 0.188292 loss: 1.201759 eta: 5:46:47 batch_cost: 2.1494 data_cost: 0.0043 ips: 29.7762 images/s [10/18 19:24:47] ppdet.engine INFO: Epoch: [258] [200/229] learning_rate: 0.018263 loss_vfl: 0.731128 loss_bbox: 0.280046 loss_dfl: 0.186340 loss: 1.194757 eta: 5:46:03 batch_cost: 2.1562 data_cost: 0.0040 ips: 29.6825 images/s [10/18 19:25:26] ppdet.engine INFO: Epoch: [258] [220/229] learning_rate: 0.018187 loss_vfl: 0.726485 loss_bbox: 0.264465 loss_dfl: 0.182331 loss: 1.193340 eta: 5:45:17 batch_cost: 1.7721 data_cost: 0.0054 ips: 36.1155 images/s [10/18 19:26:10] ppdet.engine INFO: Epoch: [259] [ 0/229] learning_rate: 0.018153 loss_vfl: 0.739102 loss_bbox: 0.281320 loss_dfl: 0.184249 loss: 1.207984 eta: 5:45:00 batch_cost: 2.7036 data_cost: 1.1463 ips: 23.6724 images/s [10/18 19:26:57] ppdet.engine INFO: Epoch: [259] [ 20/229] learning_rate: 0.018077 loss_vfl: 0.728089 loss_bbox: 0.311371 loss_dfl: 0.200132 loss: 1.235438 eta: 5:44:16 batch_cost: 2.2030 data_cost: 0.0064 ips: 29.0508 images/s [10/18 19:27:45] ppdet.engine INFO: Epoch: [259] [ 40/229] learning_rate: 0.018001 loss_vfl: 0.730924 loss_bbox: 0.290352 loss_dfl: 0.188073 loss: 1.229488 eta: 5:43:32 batch_cost: 2.1976 data_cost: 0.0027 ips: 29.1232 images/s [10/18 19:28:32] ppdet.engine INFO: Epoch: [259] [ 60/229] learning_rate: 0.017925 loss_vfl: 0.718055 loss_bbox: 0.272529 loss_dfl: 0.182447 loss: 1.183573 eta: 5:42:48 batch_cost: 2.1796 data_cost: 0.0043 ips: 29.3636 images/s [10/18 19:29:20] ppdet.engine INFO: Epoch: [259] [ 80/229] learning_rate: 0.017849 loss_vfl: 0.725161 loss_bbox: 0.284567 loss_dfl: 0.189319 loss: 1.197251 eta: 5:42:04 batch_cost: 2.2179 data_cost: 0.0029 ips: 28.8561 images/s [10/18 19:30:06] ppdet.engine INFO: Epoch: [259] [100/229] learning_rate: 0.017774 loss_vfl: 0.714320 loss_bbox: 0.275238 loss_dfl: 0.184897 loss: 1.196984 eta: 5:41:20 batch_cost: 2.1460 data_cost: 0.0038 ips: 29.8235 images/s [10/18 19:30:52] ppdet.engine INFO: Epoch: [259] [120/229] learning_rate: 0.017699 loss_vfl: 0.728058 loss_bbox: 0.295052 loss_dfl: 0.189002 loss: 1.205840 eta: 5:40:35 batch_cost: 2.1435 data_cost: 0.0028 ips: 29.8571 images/s [10/18 19:31:39] ppdet.engine INFO: Epoch: [259] [140/229] learning_rate: 0.017623 loss_vfl: 0.734735 loss_bbox: 0.276672 loss_dfl: 0.185968 loss: 1.211097 eta: 5:39:51 batch_cost: 2.1961 data_cost: 0.0038 ips: 29.1424 images/s [10/18 19:32:26] ppdet.engine INFO: Epoch: [259] [160/229] learning_rate: 0.017548 loss_vfl: 0.727266 loss_bbox: 0.284923 loss_dfl: 0.193663 loss: 1.215614 eta: 5:39:07 batch_cost: 2.1431 data_cost: 0.0042 ips: 29.8638 images/s [10/18 19:33:12] ppdet.engine INFO: Epoch: [259] [180/229] learning_rate: 0.017474 loss_vfl: 0.734196 loss_bbox: 0.272646 loss_dfl: 0.181548 loss: 1.198250 eta: 5:38:23 batch_cost: 2.1289 data_cost: 0.0054 ips: 30.0618 images/s [10/18 19:33:58] ppdet.engine INFO: Epoch: [259] [200/229] learning_rate: 0.017399 loss_vfl: 0.725029 loss_bbox: 0.283698 loss_dfl: 0.192396 loss: 1.206932 eta: 5:37:38 batch_cost: 2.1240 data_cost: 0.0038 ips: 30.1323 images/s [10/18 19:34:36] ppdet.engine INFO: Epoch: [259] [220/229] learning_rate: 0.017324 loss_vfl: 0.724566 loss_bbox: 0.278937 loss_dfl: 0.182487 loss: 1.201870 eta: 5:36:53 batch_cost: 1.7392 data_cost: 0.0038 ips: 36.7994 images/s [10/18 19:34:50] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 19:34:51] ppdet.engine INFO: Eval iter: 0 [10/18 19:35:32] ppdet.engine INFO: Eval iter: 100 [10/18 19:35:46] ppdet.engine INFO: Eval iter: 200 [10/18 19:36:00] ppdet.engine INFO: Eval iter: 300 [10/18 19:36:14] ppdet.engine INFO: Eval iter: 400 [10/18 19:36:28] ppdet.engine INFO: Eval iter: 500 [10/18 19:36:42] ppdet.engine INFO: Eval iter: 600 [10/18 19:36:54] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.50s) creating index... index created! [10/18 19:36:55] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.11s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=63.70s). Accumulating evaluation results... DONE (t=11.20s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.308 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.323 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.096 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.320 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.276 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 ] = 0.454 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 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.717 [10/18 19:38:17] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.6234953754329 [10/18 19:38:17] ppdet.engine INFO: Best test bbox ap is 0.309. [10/18 19:38:18] ppdet.engine INFO: Epoch: [260] [ 0/229] learning_rate: 0.017291 loss_vfl: 0.721757 loss_bbox: 0.275641 loss_dfl: 0.179549 loss: 1.176187 eta: 5:36:31 batch_cost: 1.2428 data_cost: 0.0024 ips: 51.4962 images/s [10/18 19:39:05] ppdet.engine INFO: Epoch: [260] [ 20/229] learning_rate: 0.017217 loss_vfl: 0.729697 loss_bbox: 0.287860 loss_dfl: 0.187668 loss: 1.196363 eta: 5:35:47 batch_cost: 2.1584 data_cost: 0.0036 ips: 29.6509 images/s [10/18 19:39:53] ppdet.engine INFO: Epoch: [260] [ 40/229] learning_rate: 0.017142 loss_vfl: 0.724452 loss_bbox: 0.277612 loss_dfl: 0.188342 loss: 1.187022 eta: 5:35:03 batch_cost: 2.2167 data_cost: 0.0050 ips: 28.8720 images/s [10/18 19:40:40] ppdet.engine INFO: Epoch: [260] [ 60/229] learning_rate: 0.017068 loss_vfl: 0.746859 loss_bbox: 0.285574 loss_dfl: 0.186753 loss: 1.249457 eta: 5:34:19 batch_cost: 2.1089 data_cost: 0.0024 ips: 30.3476 images/s [10/18 19:41:28] ppdet.engine INFO: Epoch: [260] [ 80/229] learning_rate: 0.016995 loss_vfl: 0.728840 loss_bbox: 0.283020 loss_dfl: 0.185069 loss: 1.199571 eta: 5:33:34 batch_cost: 2.1641 data_cost: 0.0038 ips: 29.5739 images/s [10/18 19:42:15] ppdet.engine INFO: Epoch: [260] [100/229] learning_rate: 0.016921 loss_vfl: 0.737034 loss_bbox: 0.283290 loss_dfl: 0.188668 loss: 1.209275 eta: 5:32:50 batch_cost: 2.1993 data_cost: 0.0028 ips: 29.1008 images/s [10/18 19:43:02] ppdet.engine INFO: Epoch: [260] [120/229] learning_rate: 0.016847 loss_vfl: 0.722799 loss_bbox: 0.268474 loss_dfl: 0.183899 loss: 1.194473 eta: 5:32:06 batch_cost: 2.1824 data_cost: 0.0034 ips: 29.3258 images/s [10/18 19:43:49] ppdet.engine INFO: Epoch: [260] [140/229] learning_rate: 0.016774 loss_vfl: 0.734017 loss_bbox: 0.297197 loss_dfl: 0.193107 loss: 1.225601 eta: 5:31:22 batch_cost: 2.1600 data_cost: 0.0050 ips: 29.6291 images/s [10/18 19:44:36] ppdet.engine INFO: Epoch: [260] [160/229] learning_rate: 0.016701 loss_vfl: 0.719869 loss_bbox: 0.278629 loss_dfl: 0.185377 loss: 1.180738 eta: 5:30:38 batch_cost: 2.1750 data_cost: 0.0037 ips: 29.4249 images/s [10/18 19:45:22] ppdet.engine INFO: Epoch: [260] [180/229] learning_rate: 0.016628 loss_vfl: 0.744894 loss_bbox: 0.285164 loss_dfl: 0.188359 loss: 1.220948 eta: 5:29:53 batch_cost: 2.1134 data_cost: 0.0016 ips: 30.2827 images/s [10/18 19:46:08] ppdet.engine INFO: Epoch: [260] [200/229] learning_rate: 0.016555 loss_vfl: 0.718874 loss_bbox: 0.287801 loss_dfl: 0.188784 loss: 1.203581 eta: 5:29:09 batch_cost: 2.1537 data_cost: 0.0032 ips: 29.7163 images/s [10/18 19:46:48] ppdet.engine INFO: Epoch: [260] [220/229] learning_rate: 0.016482 loss_vfl: 0.731288 loss_bbox: 0.288658 loss_dfl: 0.183423 loss: 1.203990 eta: 5:28:24 batch_cost: 1.8253 data_cost: 0.0021 ips: 35.0623 images/s [10/18 19:47:30] ppdet.engine INFO: Epoch: [261] [ 0/229] learning_rate: 0.016449 loss_vfl: 0.731899 loss_bbox: 0.290595 loss_dfl: 0.184451 loss: 1.222271 eta: 5:28:07 batch_cost: 2.6815 data_cost: 0.7232 ips: 23.8676 images/s [10/18 19:48:19] ppdet.engine INFO: Epoch: [261] [ 20/229] learning_rate: 0.016377 loss_vfl: 0.716791 loss_bbox: 0.307849 loss_dfl: 0.198600 loss: 1.224286 eta: 5:27:23 batch_cost: 2.3034 data_cost: 0.0034 ips: 27.7847 images/s [10/18 19:49:06] ppdet.engine INFO: Epoch: [261] [ 40/229] learning_rate: 0.016304 loss_vfl: 0.711596 loss_bbox: 0.287218 loss_dfl: 0.180776 loss: 1.173324 eta: 5:26:39 batch_cost: 2.2111 data_cost: 0.0041 ips: 28.9452 images/s [10/18 19:49:54] ppdet.engine INFO: Epoch: [261] [ 60/229] learning_rate: 0.016232 loss_vfl: 0.726194 loss_bbox: 0.288862 loss_dfl: 0.188102 loss: 1.201126 eta: 5:25:55 batch_cost: 2.2192 data_cost: 0.0053 ips: 28.8387 images/s [10/18 19:50:43] ppdet.engine INFO: Epoch: [261] [ 80/229] learning_rate: 0.016160 loss_vfl: 0.729139 loss_bbox: 0.289189 loss_dfl: 0.195286 loss: 1.221865 eta: 5:25:11 batch_cost: 2.1751 data_cost: 0.0033 ips: 29.4237 images/s [10/18 19:51:31] ppdet.engine INFO: Epoch: [261] [100/229] learning_rate: 0.016088 loss_vfl: 0.723877 loss_bbox: 0.287955 loss_dfl: 0.190543 loss: 1.206510 eta: 5:24:27 batch_cost: 2.2335 data_cost: 0.0025 ips: 28.6541 images/s [10/18 19:52:18] ppdet.engine INFO: Epoch: [261] [120/229] learning_rate: 0.016016 loss_vfl: 0.734043 loss_bbox: 0.285904 loss_dfl: 0.191058 loss: 1.203873 eta: 5:23:42 batch_cost: 2.1075 data_cost: 0.0036 ips: 30.3675 images/s [10/18 19:53:05] ppdet.engine INFO: Epoch: [261] [140/229] learning_rate: 0.015944 loss_vfl: 0.735206 loss_bbox: 0.272336 loss_dfl: 0.185396 loss: 1.201822 eta: 5:22:58 batch_cost: 2.2092 data_cost: 0.0062 ips: 28.9702 images/s [10/18 19:53:54] ppdet.engine INFO: Epoch: [261] [160/229] learning_rate: 0.015873 loss_vfl: 0.706415 loss_bbox: 0.272153 loss_dfl: 0.186445 loss: 1.175711 eta: 5:22:14 batch_cost: 2.2057 data_cost: 0.0040 ips: 29.0152 images/s [10/18 19:54:40] ppdet.engine INFO: Epoch: [261] [180/229] learning_rate: 0.015801 loss_vfl: 0.740501 loss_bbox: 0.275950 loss_dfl: 0.184016 loss: 1.212496 eta: 5:21:30 batch_cost: 2.1581 data_cost: 0.0029 ips: 29.6561 images/s [10/18 19:55:27] ppdet.engine INFO: Epoch: [261] [200/229] learning_rate: 0.015730 loss_vfl: 0.739653 loss_bbox: 0.295014 loss_dfl: 0.193855 loss: 1.222997 eta: 5:20:46 batch_cost: 2.1663 data_cost: 0.0050 ips: 29.5436 images/s [10/18 19:56:05] ppdet.engine INFO: Epoch: [261] [220/229] learning_rate: 0.015659 loss_vfl: 0.726183 loss_bbox: 0.273772 loss_dfl: 0.185237 loss: 1.191171 eta: 5:20:00 batch_cost: 1.7414 data_cost: 0.0030 ips: 36.7525 images/s [10/18 19:56:50] ppdet.engine INFO: Epoch: [262] [ 0/229] learning_rate: 0.015627 loss_vfl: 0.741426 loss_bbox: 0.261776 loss_dfl: 0.181596 loss: 1.182548 eta: 5:19:43 batch_cost: 2.8002 data_cost: 1.0056 ips: 22.8552 images/s [10/18 19:57:37] ppdet.engine INFO: Epoch: [262] [ 20/229] learning_rate: 0.015557 loss_vfl: 0.712812 loss_bbox: 0.275515 loss_dfl: 0.185263 loss: 1.172504 eta: 5:18:59 batch_cost: 2.1986 data_cost: 0.0033 ips: 29.1091 images/s [10/18 19:58:25] ppdet.engine INFO: Epoch: [262] [ 40/229] learning_rate: 0.015486 loss_vfl: 0.734783 loss_bbox: 0.298044 loss_dfl: 0.190938 loss: 1.204746 eta: 5:18:15 batch_cost: 2.2357 data_cost: 0.0063 ips: 28.6259 images/s [10/18 19:59:11] ppdet.engine INFO: Epoch: [262] [ 60/229] learning_rate: 0.015415 loss_vfl: 0.725285 loss_bbox: 0.271485 loss_dfl: 0.189319 loss: 1.182712 eta: 5:17:31 batch_cost: 2.1473 data_cost: 0.0027 ips: 29.8042 images/s [10/18 20:00:00] ppdet.engine INFO: Epoch: [262] [ 80/229] learning_rate: 0.015345 loss_vfl: 0.738559 loss_bbox: 0.277356 loss_dfl: 0.184516 loss: 1.218341 eta: 5:16:47 batch_cost: 2.2278 data_cost: 0.0050 ips: 28.7274 images/s [10/18 20:00:47] ppdet.engine INFO: Epoch: [262] [100/229] learning_rate: 0.015275 loss_vfl: 0.725585 loss_bbox: 0.285530 loss_dfl: 0.182871 loss: 1.197297 eta: 5:16:03 batch_cost: 2.1503 data_cost: 0.0059 ips: 29.7629 images/s [10/18 20:01:34] ppdet.engine INFO: Epoch: [262] [120/229] learning_rate: 0.015205 loss_vfl: 0.731372 loss_bbox: 0.277848 loss_dfl: 0.184100 loss: 1.187353 eta: 5:15:18 batch_cost: 2.1778 data_cost: 0.0028 ips: 29.3876 images/s [10/18 20:02:22] ppdet.engine INFO: Epoch: [262] [140/229] learning_rate: 0.015135 loss_vfl: 0.722971 loss_bbox: 0.286451 loss_dfl: 0.186913 loss: 1.210384 eta: 5:14:34 batch_cost: 2.2156 data_cost: 0.0038 ips: 28.8863 images/s [10/18 20:03:09] ppdet.engine INFO: Epoch: [262] [160/229] learning_rate: 0.015065 loss_vfl: 0.748141 loss_bbox: 0.278897 loss_dfl: 0.181710 loss: 1.198529 eta: 5:13:50 batch_cost: 2.1581 data_cost: 0.0092 ips: 29.6560 images/s [10/18 20:03:56] ppdet.engine INFO: Epoch: [262] [180/229] learning_rate: 0.014996 loss_vfl: 0.732107 loss_bbox: 0.277772 loss_dfl: 0.186342 loss: 1.187718 eta: 5:13:06 batch_cost: 2.1585 data_cost: 0.0042 ips: 29.6505 images/s [10/18 20:04:42] ppdet.engine INFO: Epoch: [262] [200/229] learning_rate: 0.014926 loss_vfl: 0.737196 loss_bbox: 0.271426 loss_dfl: 0.182642 loss: 1.209317 eta: 5:12:22 batch_cost: 2.1075 data_cost: 0.0025 ips: 30.3683 images/s [10/18 20:05:19] ppdet.engine INFO: Epoch: [262] [220/229] learning_rate: 0.014857 loss_vfl: 0.719604 loss_bbox: 0.289374 loss_dfl: 0.188202 loss: 1.212824 eta: 5:11:36 batch_cost: 1.7488 data_cost: 0.0020 ips: 36.5972 images/s [10/18 20:06:03] ppdet.engine INFO: Epoch: [263] [ 0/229] learning_rate: 0.014826 loss_vfl: 0.740073 loss_bbox: 0.288128 loss_dfl: 0.188202 loss: 1.215714 eta: 5:11:19 batch_cost: 2.6572 data_cost: 1.0171 ips: 24.0852 images/s [10/18 20:06:49] ppdet.engine INFO: Epoch: [263] [ 20/229] learning_rate: 0.014757 loss_vfl: 0.719835 loss_bbox: 0.283086 loss_dfl: 0.185842 loss: 1.185073 eta: 5:10:34 batch_cost: 2.0986 data_cost: 0.0053 ips: 30.4965 images/s [10/18 20:07:37] ppdet.engine INFO: Epoch: [263] [ 40/229] learning_rate: 0.014688 loss_vfl: 0.726434 loss_bbox: 0.275848 loss_dfl: 0.182872 loss: 1.190035 eta: 5:09:50 batch_cost: 2.1520 data_cost: 0.0036 ips: 29.7401 images/s [10/18 20:08:24] ppdet.engine INFO: Epoch: [263] [ 60/229] learning_rate: 0.014619 loss_vfl: 0.738953 loss_bbox: 0.286457 loss_dfl: 0.184414 loss: 1.206620 eta: 5:09:06 batch_cost: 2.1714 data_cost: 0.0032 ips: 29.4735 images/s [10/18 20:09:11] ppdet.engine INFO: Epoch: [263] [ 80/229] learning_rate: 0.014551 loss_vfl: 0.715219 loss_bbox: 0.284827 loss_dfl: 0.184550 loss: 1.174408 eta: 5:08:22 batch_cost: 2.2043 data_cost: 0.0059 ips: 29.0339 images/s [10/18 20:09:57] ppdet.engine INFO: Epoch: [263] [100/229] learning_rate: 0.014482 loss_vfl: 0.729035 loss_bbox: 0.274027 loss_dfl: 0.181193 loss: 1.193358 eta: 5:07:38 batch_cost: 2.1560 data_cost: 0.0039 ips: 29.6843 images/s [10/18 20:10:45] ppdet.engine INFO: Epoch: [263] [120/229] learning_rate: 0.014414 loss_vfl: 0.719154 loss_bbox: 0.284681 loss_dfl: 0.198215 loss: 1.216047 eta: 5:06:54 batch_cost: 2.1725 data_cost: 0.0069 ips: 29.4592 images/s [10/18 20:11:31] ppdet.engine INFO: Epoch: [263] [140/229] learning_rate: 0.014346 loss_vfl: 0.723753 loss_bbox: 0.290404 loss_dfl: 0.189590 loss: 1.203558 eta: 5:06:09 batch_cost: 2.1550 data_cost: 0.0043 ips: 29.6988 images/s [10/18 20:12:19] ppdet.engine INFO: Epoch: [263] [160/229] learning_rate: 0.014278 loss_vfl: 0.726734 loss_bbox: 0.272116 loss_dfl: 0.184440 loss: 1.188352 eta: 5:05:25 batch_cost: 2.2107 data_cost: 0.0046 ips: 28.9499 images/s [10/18 20:13:05] ppdet.engine INFO: Epoch: [263] [180/229] learning_rate: 0.014210 loss_vfl: 0.730169 loss_bbox: 0.289649 loss_dfl: 0.186530 loss: 1.197857 eta: 5:04:41 batch_cost: 2.1411 data_cost: 0.0032 ips: 29.8908 images/s [10/18 20:13:50] ppdet.engine INFO: Epoch: [263] [200/229] learning_rate: 0.014143 loss_vfl: 0.719979 loss_bbox: 0.276683 loss_dfl: 0.190240 loss: 1.203642 eta: 5:03:57 batch_cost: 2.0649 data_cost: 0.0059 ips: 30.9941 images/s [10/18 20:14:28] ppdet.engine INFO: Epoch: [263] [220/229] learning_rate: 0.014075 loss_vfl: 0.720258 loss_bbox: 0.295908 loss_dfl: 0.192177 loss: 1.219705 eta: 5:03:11 batch_cost: 1.7739 data_cost: 0.0016 ips: 36.0790 images/s [10/18 20:15:13] ppdet.engine INFO: Epoch: [264] [ 0/229] learning_rate: 0.014045 loss_vfl: 0.703207 loss_bbox: 0.282406 loss_dfl: 0.181444 loss: 1.171863 eta: 5:02:54 batch_cost: 2.7537 data_cost: 0.9821 ips: 23.2419 images/s [10/18 20:16:00] ppdet.engine INFO: Epoch: [264] [ 20/229] learning_rate: 0.013977 loss_vfl: 0.741785 loss_bbox: 0.262854 loss_dfl: 0.180934 loss: 1.180811 eta: 5:02:10 batch_cost: 2.1385 data_cost: 0.0023 ips: 29.9279 images/s [10/18 20:16:47] ppdet.engine INFO: Epoch: [264] [ 40/229] learning_rate: 0.013910 loss_vfl: 0.731078 loss_bbox: 0.286043 loss_dfl: 0.191961 loss: 1.206895 eta: 5:01:26 batch_cost: 2.1528 data_cost: 0.0045 ips: 29.7290 images/s [10/18 20:17:34] ppdet.engine INFO: Epoch: [264] [ 60/229] learning_rate: 0.013843 loss_vfl: 0.723217 loss_bbox: 0.260510 loss_dfl: 0.185208 loss: 1.160169 eta: 5:00:41 batch_cost: 2.1389 data_cost: 0.0069 ips: 29.9219 images/s [10/18 20:18:21] ppdet.engine INFO: Epoch: [264] [ 80/229] learning_rate: 0.013777 loss_vfl: 0.734460 loss_bbox: 0.278496 loss_dfl: 0.188921 loss: 1.192354 eta: 4:59:57 batch_cost: 2.1888 data_cost: 0.0031 ips: 29.2399 images/s [10/18 20:19:08] ppdet.engine INFO: Epoch: [264] [100/229] learning_rate: 0.013710 loss_vfl: 0.723677 loss_bbox: 0.295133 loss_dfl: 0.193423 loss: 1.218130 eta: 4:59:13 batch_cost: 2.1869 data_cost: 0.0041 ips: 29.2657 images/s [10/18 20:19:55] ppdet.engine INFO: Epoch: [264] [120/229] learning_rate: 0.013643 loss_vfl: 0.735617 loss_bbox: 0.268723 loss_dfl: 0.183758 loss: 1.192003 eta: 4:58:29 batch_cost: 2.0836 data_cost: 0.0067 ips: 30.7158 images/s [10/18 20:20:43] ppdet.engine INFO: Epoch: [264] [140/229] learning_rate: 0.013577 loss_vfl: 0.721876 loss_bbox: 0.271880 loss_dfl: 0.179231 loss: 1.188676 eta: 4:57:45 batch_cost: 2.2011 data_cost: 0.0039 ips: 29.0763 images/s [10/18 20:21:29] ppdet.engine INFO: Epoch: [264] [160/229] learning_rate: 0.013511 loss_vfl: 0.741193 loss_bbox: 0.287893 loss_dfl: 0.180606 loss: 1.198890 eta: 4:57:00 batch_cost: 2.1091 data_cost: 0.0076 ips: 30.3451 images/s [10/18 20:22:16] ppdet.engine INFO: Epoch: [264] [180/229] learning_rate: 0.013445 loss_vfl: 0.747597 loss_bbox: 0.279714 loss_dfl: 0.179138 loss: 1.183703 eta: 4:56:16 batch_cost: 2.1453 data_cost: 0.0104 ips: 29.8327 images/s [10/18 20:23:02] ppdet.engine INFO: Epoch: [264] [200/229] learning_rate: 0.013379 loss_vfl: 0.735849 loss_bbox: 0.268277 loss_dfl: 0.180806 loss: 1.170223 eta: 4:55:32 batch_cost: 2.1372 data_cost: 0.0119 ips: 29.9455 images/s [10/18 20:23:40] ppdet.engine INFO: Epoch: [264] [220/229] learning_rate: 0.013313 loss_vfl: 0.724794 loss_bbox: 0.271425 loss_dfl: 0.175593 loss: 1.196410 eta: 4:54:46 batch_cost: 1.7632 data_cost: 0.0033 ips: 36.2972 images/s [10/18 20:24:23] ppdet.engine INFO: Epoch: [265] [ 0/229] learning_rate: 0.013284 loss_vfl: 0.717076 loss_bbox: 0.278560 loss_dfl: 0.189246 loss: 1.195792 eta: 4:54:29 batch_cost: 2.6059 data_cost: 0.8610 ips: 24.5599 images/s [10/18 20:25:12] ppdet.engine INFO: Epoch: [265] [ 20/229] learning_rate: 0.013218 loss_vfl: 0.716529 loss_bbox: 0.277647 loss_dfl: 0.190965 loss: 1.210379 eta: 4:53:45 batch_cost: 2.2588 data_cost: 0.0032 ips: 28.3335 images/s [10/18 20:25:59] ppdet.engine INFO: Epoch: [265] [ 40/229] learning_rate: 0.013153 loss_vfl: 0.723875 loss_bbox: 0.299593 loss_dfl: 0.189029 loss: 1.210798 eta: 4:53:01 batch_cost: 2.2184 data_cost: 0.0032 ips: 28.8492 images/s [10/18 20:26:47] ppdet.engine INFO: Epoch: [265] [ 60/229] learning_rate: 0.013088 loss_vfl: 0.718502 loss_bbox: 0.297926 loss_dfl: 0.196565 loss: 1.206716 eta: 4:52:17 batch_cost: 2.2438 data_cost: 0.0054 ips: 28.5226 images/s [10/18 20:27:33] ppdet.engine INFO: Epoch: [265] [ 80/229] learning_rate: 0.013023 loss_vfl: 0.733716 loss_bbox: 0.315744 loss_dfl: 0.203812 loss: 1.243373 eta: 4:51:33 batch_cost: 2.1420 data_cost: 0.0023 ips: 29.8788 images/s [10/18 20:28:21] ppdet.engine INFO: Epoch: [265] [100/229] learning_rate: 0.012958 loss_vfl: 0.725596 loss_bbox: 0.287212 loss_dfl: 0.189580 loss: 1.203026 eta: 4:50:49 batch_cost: 2.2094 data_cost: 0.0047 ips: 28.9665 images/s [10/18 20:29:07] ppdet.engine INFO: Epoch: [265] [120/229] learning_rate: 0.012893 loss_vfl: 0.747813 loss_bbox: 0.279517 loss_dfl: 0.186371 loss: 1.208838 eta: 4:50:04 batch_cost: 2.1018 data_cost: 0.0024 ips: 30.4505 images/s [10/18 20:29:54] ppdet.engine INFO: Epoch: [265] [140/229] learning_rate: 0.012829 loss_vfl: 0.730986 loss_bbox: 0.285735 loss_dfl: 0.187933 loss: 1.191653 eta: 4:49:20 batch_cost: 2.1994 data_cost: 0.0031 ips: 29.0989 images/s [10/18 20:30:42] ppdet.engine INFO: Epoch: [265] [160/229] learning_rate: 0.012765 loss_vfl: 0.724555 loss_bbox: 0.274550 loss_dfl: 0.184802 loss: 1.197226 eta: 4:48:36 batch_cost: 2.2123 data_cost: 0.0035 ips: 28.9295 images/s [10/18 20:31:29] ppdet.engine INFO: Epoch: [265] [180/229] learning_rate: 0.012700 loss_vfl: 0.716020 loss_bbox: 0.274438 loss_dfl: 0.179181 loss: 1.166868 eta: 4:47:52 batch_cost: 2.0943 data_cost: 0.0056 ips: 30.5597 images/s [10/18 20:32:15] ppdet.engine INFO: Epoch: [265] [200/229] learning_rate: 0.012636 loss_vfl: 0.718043 loss_bbox: 0.268542 loss_dfl: 0.183212 loss: 1.171037 eta: 4:47:07 batch_cost: 2.1240 data_cost: 0.0035 ips: 30.1325 images/s [10/18 20:32:53] ppdet.engine INFO: Epoch: [265] [220/229] learning_rate: 0.012572 loss_vfl: 0.719450 loss_bbox: 0.298521 loss_dfl: 0.197475 loss: 1.211360 eta: 4:46:22 batch_cost: 1.7344 data_cost: 0.0047 ips: 36.9007 images/s [10/18 20:33:34] ppdet.engine INFO: Epoch: [266] [ 0/229] learning_rate: 0.012544 loss_vfl: 0.729264 loss_bbox: 0.285116 loss_dfl: 0.193400 loss: 1.194811 eta: 4:46:04 batch_cost: 2.4721 data_cost: 0.7583 ips: 25.8888 images/s [10/18 20:34:25] ppdet.engine INFO: Epoch: [266] [ 20/229] learning_rate: 0.012480 loss_vfl: 0.742765 loss_bbox: 0.295786 loss_dfl: 0.184529 loss: 1.232381 eta: 4:45:20 batch_cost: 2.3416 data_cost: 0.0062 ips: 27.3322 images/s [10/18 20:35:13] ppdet.engine INFO: Epoch: [266] [ 40/229] learning_rate: 0.012416 loss_vfl: 0.722022 loss_bbox: 0.285496 loss_dfl: 0.184140 loss: 1.195691 eta: 4:44:36 batch_cost: 2.2372 data_cost: 0.0047 ips: 28.6069 images/s [10/18 20:36:01] ppdet.engine INFO: Epoch: [266] [ 60/229] learning_rate: 0.012353 loss_vfl: 0.727633 loss_bbox: 0.290422 loss_dfl: 0.194719 loss: 1.220616 eta: 4:43:52 batch_cost: 2.1418 data_cost: 0.0063 ips: 29.8818 images/s [10/18 20:36:48] ppdet.engine INFO: Epoch: [266] [ 80/229] learning_rate: 0.012290 loss_vfl: 0.724992 loss_bbox: 0.281308 loss_dfl: 0.181360 loss: 1.193795 eta: 4:43:08 batch_cost: 2.1647 data_cost: 0.0042 ips: 29.5654 images/s [10/18 20:37:35] ppdet.engine INFO: Epoch: [266] [100/229] learning_rate: 0.012227 loss_vfl: 0.717532 loss_bbox: 0.285093 loss_dfl: 0.186715 loss: 1.180421 eta: 4:42:24 batch_cost: 2.2231 data_cost: 0.0021 ips: 28.7886 images/s [10/18 20:38:23] ppdet.engine INFO: Epoch: [266] [120/229] learning_rate: 0.012164 loss_vfl: 0.736735 loss_bbox: 0.271847 loss_dfl: 0.183131 loss: 1.184026 eta: 4:41:40 batch_cost: 2.1812 data_cost: 0.0096 ips: 29.3416 images/s [10/18 20:39:10] ppdet.engine INFO: Epoch: [266] [140/229] learning_rate: 0.012101 loss_vfl: 0.727717 loss_bbox: 0.290275 loss_dfl: 0.195756 loss: 1.192247 eta: 4:40:55 batch_cost: 2.2062 data_cost: 0.0054 ips: 29.0095 images/s [10/18 20:39:56] ppdet.engine INFO: Epoch: [266] [160/229] learning_rate: 0.012039 loss_vfl: 0.726352 loss_bbox: 0.265066 loss_dfl: 0.179488 loss: 1.156316 eta: 4:40:11 batch_cost: 2.1521 data_cost: 0.0018 ips: 29.7390 images/s [10/18 20:40:43] ppdet.engine INFO: Epoch: [266] [180/229] learning_rate: 0.011976 loss_vfl: 0.721011 loss_bbox: 0.276950 loss_dfl: 0.187298 loss: 1.185813 eta: 4:39:27 batch_cost: 2.1663 data_cost: 0.0034 ips: 29.5434 images/s [10/18 20:41:29] ppdet.engine INFO: Epoch: [266] [200/229] learning_rate: 0.011914 loss_vfl: 0.728994 loss_bbox: 0.273566 loss_dfl: 0.188409 loss: 1.182072 eta: 4:38:43 batch_cost: 2.0946 data_cost: 0.0030 ips: 30.5551 images/s [10/18 20:42:07] ppdet.engine INFO: Epoch: [266] [220/229] learning_rate: 0.011852 loss_vfl: 0.714880 loss_bbox: 0.280296 loss_dfl: 0.192217 loss: 1.187958 eta: 4:37:57 batch_cost: 1.7420 data_cost: 0.0020 ips: 36.7392 images/s [10/18 20:42:51] ppdet.engine INFO: Epoch: [267] [ 0/229] learning_rate: 0.011824 loss_vfl: 0.705321 loss_bbox: 0.268307 loss_dfl: 0.187777 loss: 1.177710 eta: 4:37:40 batch_cost: 2.7896 data_cost: 0.6756 ips: 22.9422 images/s [10/18 20:43:39] ppdet.engine INFO: Epoch: [267] [ 20/229] learning_rate: 0.011762 loss_vfl: 0.733290 loss_bbox: 0.287816 loss_dfl: 0.192413 loss: 1.217319 eta: 4:36:56 batch_cost: 2.1973 data_cost: 0.0038 ips: 29.1260 images/s [10/18 20:44:27] ppdet.engine INFO: Epoch: [267] [ 40/229] learning_rate: 0.011700 loss_vfl: 0.727257 loss_bbox: 0.281008 loss_dfl: 0.184901 loss: 1.188254 eta: 4:36:12 batch_cost: 2.2262 data_cost: 0.0018 ips: 28.7491 images/s [10/18 20:45:14] ppdet.engine INFO: Epoch: [267] [ 60/229] learning_rate: 0.011639 loss_vfl: 0.722018 loss_bbox: 0.283563 loss_dfl: 0.184309 loss: 1.183988 eta: 4:35:28 batch_cost: 2.1661 data_cost: 0.0034 ips: 29.5463 images/s [10/18 20:46:01] ppdet.engine INFO: Epoch: [267] [ 80/229] learning_rate: 0.011577 loss_vfl: 0.712290 loss_bbox: 0.290599 loss_dfl: 0.182921 loss: 1.175174 eta: 4:34:44 batch_cost: 2.1690 data_cost: 0.0078 ips: 29.5064 images/s [10/18 20:46:48] ppdet.engine INFO: Epoch: [267] [100/229] learning_rate: 0.011516 loss_vfl: 0.726084 loss_bbox: 0.287360 loss_dfl: 0.197333 loss: 1.229740 eta: 4:33:59 batch_cost: 2.1737 data_cost: 0.0068 ips: 29.4424 images/s [10/18 20:47:35] ppdet.engine INFO: Epoch: [267] [120/229] learning_rate: 0.011455 loss_vfl: 0.721080 loss_bbox: 0.278622 loss_dfl: 0.186125 loss: 1.195155 eta: 4:33:15 batch_cost: 2.1219 data_cost: 0.0031 ips: 30.1623 images/s [10/18 20:48:22] ppdet.engine INFO: Epoch: [267] [140/229] learning_rate: 0.011394 loss_vfl: 0.715766 loss_bbox: 0.283049 loss_dfl: 0.185403 loss: 1.171497 eta: 4:32:31 batch_cost: 2.1487 data_cost: 0.0024 ips: 29.7857 images/s [10/18 20:49:09] ppdet.engine INFO: Epoch: [267] [160/229] learning_rate: 0.011333 loss_vfl: 0.718781 loss_bbox: 0.283933 loss_dfl: 0.192333 loss: 1.195384 eta: 4:31:47 batch_cost: 2.1647 data_cost: 0.0023 ips: 29.5653 images/s [10/18 20:49:55] ppdet.engine INFO: Epoch: [267] [180/229] learning_rate: 0.011273 loss_vfl: 0.721037 loss_bbox: 0.280711 loss_dfl: 0.189318 loss: 1.187642 eta: 4:31:02 batch_cost: 2.1143 data_cost: 0.0023 ips: 30.2701 images/s [10/18 20:50:42] ppdet.engine INFO: Epoch: [267] [200/229] learning_rate: 0.011212 loss_vfl: 0.725341 loss_bbox: 0.274421 loss_dfl: 0.185800 loss: 1.182316 eta: 4:30:18 batch_cost: 2.1710 data_cost: 0.0022 ips: 29.4798 images/s [10/18 20:51:20] ppdet.engine INFO: Epoch: [267] [220/229] learning_rate: 0.011152 loss_vfl: 0.737237 loss_bbox: 0.284046 loss_dfl: 0.187274 loss: 1.206449 eta: 4:29:33 batch_cost: 1.7559 data_cost: 0.0027 ips: 36.4478 images/s [10/18 20:52:04] ppdet.engine INFO: Epoch: [268] [ 0/229] learning_rate: 0.011125 loss_vfl: 0.739300 loss_bbox: 0.284046 loss_dfl: 0.185773 loss: 1.195324 eta: 4:29:15 batch_cost: 2.6515 data_cost: 1.0802 ips: 24.1374 images/s [10/18 20:52:50] ppdet.engine INFO: Epoch: [268] [ 20/229] learning_rate: 0.011065 loss_vfl: 0.724630 loss_bbox: 0.278730 loss_dfl: 0.187297 loss: 1.189782 eta: 4:28:31 batch_cost: 2.1577 data_cost: 0.0034 ips: 29.6609 images/s [10/18 20:53:38] ppdet.engine INFO: Epoch: [268] [ 40/229] learning_rate: 0.011005 loss_vfl: 0.727180 loss_bbox: 0.285752 loss_dfl: 0.186740 loss: 1.189571 eta: 4:27:47 batch_cost: 2.2122 data_cost: 0.0029 ips: 28.9308 images/s [10/18 20:54:25] ppdet.engine INFO: Epoch: [268] [ 60/229] learning_rate: 0.010945 loss_vfl: 0.718924 loss_bbox: 0.273233 loss_dfl: 0.178433 loss: 1.162557 eta: 4:27:03 batch_cost: 2.1363 data_cost: 0.0031 ips: 29.9585 images/s [10/18 20:55:12] ppdet.engine INFO: Epoch: [268] [ 80/229] learning_rate: 0.010885 loss_vfl: 0.714242 loss_bbox: 0.265716 loss_dfl: 0.178018 loss: 1.154188 eta: 4:26:19 batch_cost: 2.1456 data_cost: 0.0062 ips: 29.8283 images/s [10/18 20:55:58] ppdet.engine INFO: Epoch: [268] [100/229] learning_rate: 0.010826 loss_vfl: 0.740542 loss_bbox: 0.256897 loss_dfl: 0.176412 loss: 1.172442 eta: 4:25:34 batch_cost: 2.0854 data_cost: 0.0032 ips: 30.6902 images/s [10/18 20:56:45] ppdet.engine INFO: Epoch: [268] [120/229] learning_rate: 0.010767 loss_vfl: 0.724946 loss_bbox: 0.296752 loss_dfl: 0.198020 loss: 1.217534 eta: 4:24:50 batch_cost: 2.1774 data_cost: 0.0025 ips: 29.3934 images/s [10/18 20:57:32] ppdet.engine INFO: Epoch: [268] [140/229] learning_rate: 0.010708 loss_vfl: 0.718016 loss_bbox: 0.273519 loss_dfl: 0.186362 loss: 1.164511 eta: 4:24:06 batch_cost: 2.1695 data_cost: 0.0039 ips: 29.4994 images/s [10/18 20:58:19] ppdet.engine INFO: Epoch: [268] [160/229] learning_rate: 0.010649 loss_vfl: 0.738754 loss_bbox: 0.266497 loss_dfl: 0.180978 loss: 1.202500 eta: 4:23:22 batch_cost: 2.1892 data_cost: 0.0029 ips: 29.2339 images/s [10/18 20:59:05] ppdet.engine INFO: Epoch: [268] [180/229] learning_rate: 0.010590 loss_vfl: 0.719037 loss_bbox: 0.294056 loss_dfl: 0.191368 loss: 1.197564 eta: 4:22:38 batch_cost: 2.1227 data_cost: 0.0027 ips: 30.1500 images/s [10/18 20:59:52] ppdet.engine INFO: Epoch: [268] [200/229] learning_rate: 0.010531 loss_vfl: 0.719625 loss_bbox: 0.302362 loss_dfl: 0.196231 loss: 1.203556 eta: 4:21:53 batch_cost: 2.1343 data_cost: 0.0028 ips: 29.9868 images/s [10/18 21:00:30] ppdet.engine INFO: Epoch: [268] [220/229] learning_rate: 0.010473 loss_vfl: 0.724784 loss_bbox: 0.283956 loss_dfl: 0.184724 loss: 1.189081 eta: 4:21:08 batch_cost: 1.7757 data_cost: 0.0027 ips: 36.0423 images/s [10/18 21:01:15] ppdet.engine INFO: Epoch: [269] [ 0/229] learning_rate: 0.010446 loss_vfl: 0.739134 loss_bbox: 0.290310 loss_dfl: 0.190687 loss: 1.207331 eta: 4:20:51 batch_cost: 2.7645 data_cost: 1.1419 ips: 23.1507 images/s [10/18 21:02:02] ppdet.engine INFO: Epoch: [269] [ 20/229] learning_rate: 0.010388 loss_vfl: 0.725584 loss_bbox: 0.278791 loss_dfl: 0.187788 loss: 1.206286 eta: 4:20:06 batch_cost: 2.0936 data_cost: 0.0058 ips: 30.5692 images/s [10/18 21:02:49] ppdet.engine INFO: Epoch: [269] [ 40/229] learning_rate: 0.010330 loss_vfl: 0.720032 loss_bbox: 0.273240 loss_dfl: 0.181296 loss: 1.170294 eta: 4:19:22 batch_cost: 2.2067 data_cost: 0.0041 ips: 29.0031 images/s [10/18 21:03:37] ppdet.engine INFO: Epoch: [269] [ 60/229] learning_rate: 0.010272 loss_vfl: 0.713656 loss_bbox: 0.284115 loss_dfl: 0.189294 loss: 1.172957 eta: 4:18:38 batch_cost: 2.2292 data_cost: 0.0032 ips: 28.7101 images/s [10/18 21:04:24] ppdet.engine INFO: Epoch: [269] [ 80/229] learning_rate: 0.010214 loss_vfl: 0.711049 loss_bbox: 0.281448 loss_dfl: 0.180690 loss: 1.187639 eta: 4:17:54 batch_cost: 2.1637 data_cost: 0.0026 ips: 29.5789 images/s [10/18 21:05:11] ppdet.engine INFO: Epoch: [269] [100/229] learning_rate: 0.010157 loss_vfl: 0.709934 loss_bbox: 0.294443 loss_dfl: 0.191225 loss: 1.210640 eta: 4:17:10 batch_cost: 2.1601 data_cost: 0.0068 ips: 29.6281 images/s [10/18 21:05:58] ppdet.engine INFO: Epoch: [269] [120/229] learning_rate: 0.010099 loss_vfl: 0.723342 loss_bbox: 0.293905 loss_dfl: 0.187738 loss: 1.184558 eta: 4:16:26 batch_cost: 2.1484 data_cost: 0.0054 ips: 29.7889 images/s [10/18 21:06:45] ppdet.engine INFO: Epoch: [269] [140/229] learning_rate: 0.010042 loss_vfl: 0.717065 loss_bbox: 0.286125 loss_dfl: 0.188544 loss: 1.188932 eta: 4:15:41 batch_cost: 2.1194 data_cost: 0.0038 ips: 30.1972 images/s [10/18 21:07:32] ppdet.engine INFO: Epoch: [269] [160/229] learning_rate: 0.009985 loss_vfl: 0.725683 loss_bbox: 0.278311 loss_dfl: 0.186293 loss: 1.191347 eta: 4:14:57 batch_cost: 2.1941 data_cost: 0.0034 ips: 29.1685 images/s [10/18 21:08:18] ppdet.engine INFO: Epoch: [269] [180/229] learning_rate: 0.009928 loss_vfl: 0.712877 loss_bbox: 0.264473 loss_dfl: 0.182412 loss: 1.155848 eta: 4:14:13 batch_cost: 2.1392 data_cost: 0.0017 ips: 29.9171 images/s [10/18 21:09:04] ppdet.engine INFO: Epoch: [269] [200/229] learning_rate: 0.009871 loss_vfl: 0.715564 loss_bbox: 0.289305 loss_dfl: 0.187917 loss: 1.195199 eta: 4:13:29 batch_cost: 2.1427 data_cost: 0.0045 ips: 29.8691 images/s [10/18 21:09:42] ppdet.engine INFO: Epoch: [269] [220/229] learning_rate: 0.009814 loss_vfl: 0.731253 loss_bbox: 0.280306 loss_dfl: 0.186378 loss: 1.200256 eta: 4:12:44 batch_cost: 1.7802 data_cost: 0.0025 ips: 35.9519 images/s [10/18 21:09:56] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 21:09:57] ppdet.engine INFO: Eval iter: 0 [10/18 21:10:36] ppdet.engine INFO: Eval iter: 100 [10/18 21:10:51] ppdet.engine INFO: Eval iter: 200 [10/18 21:11:05] ppdet.engine INFO: Eval iter: 300 [10/18 21:11:19] ppdet.engine INFO: Eval iter: 400 [10/18 21:11:33] ppdet.engine INFO: Eval iter: 500 [10/18 21:11:48] ppdet.engine INFO: Eval iter: 600 [10/18 21:12:00] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.50s) creating index... index created! [10/18 21:12:00] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=4.61s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=62.32s). Accumulating evaluation results... DONE (t=11.36s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.308 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.456 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.323 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.095 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 ] = 0.526 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 ] = 0.427 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 ] = 0.168 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 ] = 0.717 [10/18 21:13:20] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.918250988115474 [10/18 21:13:20] ppdet.engine INFO: Best test bbox ap is 0.309. [10/18 21:13:22] ppdet.engine INFO: Epoch: [270] [ 0/229] learning_rate: 0.009789 loss_vfl: 0.737822 loss_bbox: 0.280306 loss_dfl: 0.186477 loss: 1.197030 eta: 4:12:23 batch_cost: 1.2966 data_cost: 0.0018 ips: 49.3616 images/s [10/18 21:14:09] ppdet.engine INFO: Epoch: [270] [ 20/229] learning_rate: 0.009732 loss_vfl: 0.723510 loss_bbox: 0.275923 loss_dfl: 0.187883 loss: 1.183760 eta: 4:11:39 batch_cost: 2.1705 data_cost: 0.0036 ips: 29.4864 images/s [10/18 21:14:57] ppdet.engine INFO: Epoch: [270] [ 40/229] learning_rate: 0.009676 loss_vfl: 0.712149 loss_bbox: 0.278270 loss_dfl: 0.191369 loss: 1.199255 eta: 4:10:54 batch_cost: 2.1666 data_cost: 0.0065 ips: 29.5394 images/s [10/18 21:15:44] ppdet.engine INFO: Epoch: [270] [ 60/229] learning_rate: 0.009620 loss_vfl: 0.717514 loss_bbox: 0.292419 loss_dfl: 0.188250 loss: 1.194179 eta: 4:10:10 batch_cost: 2.1747 data_cost: 0.0039 ips: 29.4298 images/s [10/18 21:16:32] ppdet.engine INFO: Epoch: [270] [ 80/229] learning_rate: 0.009564 loss_vfl: 0.724621 loss_bbox: 0.267010 loss_dfl: 0.181178 loss: 1.157562 eta: 4:09:26 batch_cost: 2.1794 data_cost: 0.0053 ips: 29.3658 images/s [10/18 21:17:19] ppdet.engine INFO: Epoch: [270] [100/229] learning_rate: 0.009508 loss_vfl: 0.722505 loss_bbox: 0.270130 loss_dfl: 0.182698 loss: 1.176708 eta: 4:08:42 batch_cost: 2.0931 data_cost: 0.0062 ips: 30.5765 images/s [10/18 21:18:06] ppdet.engine INFO: Epoch: [270] [120/229] learning_rate: 0.009452 loss_vfl: 0.718615 loss_bbox: 0.278060 loss_dfl: 0.185375 loss: 1.166694 eta: 4:07:58 batch_cost: 2.1581 data_cost: 0.0045 ips: 29.6562 images/s [10/18 21:18:53] ppdet.engine INFO: Epoch: [270] [140/229] learning_rate: 0.009397 loss_vfl: 0.724809 loss_bbox: 0.308623 loss_dfl: 0.195870 loss: 1.225240 eta: 4:07:13 batch_cost: 2.1592 data_cost: 0.0043 ips: 29.6407 images/s [10/18 21:19:40] ppdet.engine INFO: Epoch: [270] [160/229] learning_rate: 0.009342 loss_vfl: 0.720445 loss_bbox: 0.293899 loss_dfl: 0.186985 loss: 1.197357 eta: 4:06:29 batch_cost: 2.2022 data_cost: 0.0043 ips: 29.0614 images/s [10/18 21:20:27] ppdet.engine INFO: Epoch: [270] [180/229] learning_rate: 0.009286 loss_vfl: 0.705534 loss_bbox: 0.291956 loss_dfl: 0.188282 loss: 1.200853 eta: 4:05:45 batch_cost: 2.1427 data_cost: 0.0071 ips: 29.8688 images/s [10/18 21:21:13] ppdet.engine INFO: Epoch: [270] [200/229] learning_rate: 0.009231 loss_vfl: 0.741680 loss_bbox: 0.279733 loss_dfl: 0.190318 loss: 1.197397 eta: 4:05:01 batch_cost: 2.1609 data_cost: 0.0045 ips: 29.6170 images/s [10/18 21:21:52] ppdet.engine INFO: Epoch: [270] [220/229] learning_rate: 0.009177 loss_vfl: 0.724629 loss_bbox: 0.274554 loss_dfl: 0.185958 loss: 1.178690 eta: 4:04:16 batch_cost: 1.7390 data_cost: 0.0035 ips: 36.8035 images/s [10/18 21:22:35] ppdet.engine INFO: Epoch: [271] [ 0/229] learning_rate: 0.009152 loss_vfl: 0.723992 loss_bbox: 0.277052 loss_dfl: 0.185449 loss: 1.187344 eta: 4:03:58 batch_cost: 2.7094 data_cost: 0.8072 ips: 23.6219 images/s [10/18 21:23:22] ppdet.engine INFO: Epoch: [271] [ 20/229] learning_rate: 0.009097 loss_vfl: 0.724558 loss_bbox: 0.273225 loss_dfl: 0.191028 loss: 1.198026 eta: 4:03:14 batch_cost: 2.1656 data_cost: 0.0020 ips: 29.5535 images/s [10/18 21:24:10] ppdet.engine INFO: Epoch: [271] [ 40/229] learning_rate: 0.009043 loss_vfl: 0.705907 loss_bbox: 0.284175 loss_dfl: 0.190110 loss: 1.195975 eta: 4:02:30 batch_cost: 2.1790 data_cost: 0.0060 ips: 29.3711 images/s [10/18 21:24:58] ppdet.engine INFO: Epoch: [271] [ 60/229] learning_rate: 0.008989 loss_vfl: 0.716957 loss_bbox: 0.260794 loss_dfl: 0.182998 loss: 1.186619 eta: 4:01:46 batch_cost: 2.2278 data_cost: 0.0036 ips: 28.7281 images/s [10/18 21:25:45] ppdet.engine INFO: Epoch: [271] [ 80/229] learning_rate: 0.008934 loss_vfl: 0.723359 loss_bbox: 0.295751 loss_dfl: 0.197724 loss: 1.219834 eta: 4:01:01 batch_cost: 2.1774 data_cost: 0.0037 ips: 29.3923 images/s [10/18 21:26:32] ppdet.engine INFO: Epoch: [271] [100/229] learning_rate: 0.008880 loss_vfl: 0.718093 loss_bbox: 0.272249 loss_dfl: 0.182175 loss: 1.166617 eta: 4:00:17 batch_cost: 2.1878 data_cost: 0.0034 ips: 29.2538 images/s [10/18 21:27:19] ppdet.engine INFO: Epoch: [271] [120/229] learning_rate: 0.008827 loss_vfl: 0.724532 loss_bbox: 0.276712 loss_dfl: 0.188925 loss: 1.189433 eta: 3:59:33 batch_cost: 2.1631 data_cost: 0.0046 ips: 29.5865 images/s [10/18 21:28:07] ppdet.engine INFO: Epoch: [271] [140/229] learning_rate: 0.008773 loss_vfl: 0.716752 loss_bbox: 0.260525 loss_dfl: 0.178172 loss: 1.149142 eta: 3:58:49 batch_cost: 2.2081 data_cost: 0.0032 ips: 28.9848 images/s [10/18 21:28:54] ppdet.engine INFO: Epoch: [271] [160/229] learning_rate: 0.008719 loss_vfl: 0.722019 loss_bbox: 0.279450 loss_dfl: 0.176759 loss: 1.179412 eta: 3:58:05 batch_cost: 2.2240 data_cost: 0.0044 ips: 28.7775 images/s [10/18 21:29:41] ppdet.engine INFO: Epoch: [271] [180/229] learning_rate: 0.008666 loss_vfl: 0.718400 loss_bbox: 0.286751 loss_dfl: 0.188905 loss: 1.199860 eta: 3:57:21 batch_cost: 2.1708 data_cost: 0.0052 ips: 29.4817 images/s [10/18 21:30:27] ppdet.engine INFO: Epoch: [271] [200/229] learning_rate: 0.008613 loss_vfl: 0.720862 loss_bbox: 0.271574 loss_dfl: 0.189763 loss: 1.181277 eta: 3:56:36 batch_cost: 2.0662 data_cost: 0.0041 ips: 30.9742 images/s [10/18 21:31:04] ppdet.engine INFO: Epoch: [271] [220/229] learning_rate: 0.008560 loss_vfl: 0.727736 loss_bbox: 0.298084 loss_dfl: 0.186049 loss: 1.214907 eta: 3:55:51 batch_cost: 1.7239 data_cost: 0.0027 ips: 37.1247 images/s [10/18 21:31:49] ppdet.engine INFO: Epoch: [272] [ 0/229] learning_rate: 0.008536 loss_vfl: 0.724501 loss_bbox: 0.298876 loss_dfl: 0.191257 loss: 1.205917 eta: 3:55:34 batch_cost: 2.8337 data_cost: 0.6867 ips: 22.5852 images/s [10/18 21:32:35] ppdet.engine INFO: Epoch: [272] [ 20/229] learning_rate: 0.008483 loss_vfl: 0.735063 loss_bbox: 0.261544 loss_dfl: 0.179852 loss: 1.173018 eta: 3:54:49 batch_cost: 2.1149 data_cost: 0.0025 ips: 30.2611 images/s [10/18 21:33:22] ppdet.engine INFO: Epoch: [272] [ 40/229] learning_rate: 0.008431 loss_vfl: 0.718089 loss_bbox: 0.272221 loss_dfl: 0.181173 loss: 1.166167 eta: 3:54:05 batch_cost: 2.1361 data_cost: 0.0046 ips: 29.9611 images/s [10/18 21:34:08] ppdet.engine INFO: Epoch: [272] [ 60/229] learning_rate: 0.008378 loss_vfl: 0.719731 loss_bbox: 0.291121 loss_dfl: 0.192324 loss: 1.210670 eta: 3:53:21 batch_cost: 2.1510 data_cost: 0.0034 ips: 29.7533 images/s [10/18 21:34:56] ppdet.engine INFO: Epoch: [272] [ 80/229] learning_rate: 0.008326 loss_vfl: 0.716798 loss_bbox: 0.296216 loss_dfl: 0.187685 loss: 1.214729 eta: 3:52:37 batch_cost: 2.1968 data_cost: 0.0143 ips: 29.1330 images/s [10/18 21:35:42] ppdet.engine INFO: Epoch: [272] [100/229] learning_rate: 0.008274 loss_vfl: 0.709282 loss_bbox: 0.270125 loss_dfl: 0.178014 loss: 1.146864 eta: 3:51:53 batch_cost: 2.1585 data_cost: 0.0029 ips: 29.6498 images/s [10/18 21:36:29] ppdet.engine INFO: Epoch: [272] [120/229] learning_rate: 0.008222 loss_vfl: 0.726357 loss_bbox: 0.280785 loss_dfl: 0.182506 loss: 1.192508 eta: 3:51:09 batch_cost: 2.1786 data_cost: 0.0020 ips: 29.3764 images/s [10/18 21:37:16] ppdet.engine INFO: Epoch: [272] [140/229] learning_rate: 0.008170 loss_vfl: 0.721233 loss_bbox: 0.263903 loss_dfl: 0.179866 loss: 1.191489 eta: 3:50:24 batch_cost: 2.1518 data_cost: 0.0018 ips: 29.7423 images/s [10/18 21:38:02] ppdet.engine INFO: Epoch: [272] [160/229] learning_rate: 0.008118 loss_vfl: 0.713151 loss_bbox: 0.289074 loss_dfl: 0.190879 loss: 1.193310 eta: 3:49:40 batch_cost: 2.1674 data_cost: 0.0017 ips: 29.5288 images/s [10/18 21:38:48] ppdet.engine INFO: Epoch: [272] [180/229] learning_rate: 0.008067 loss_vfl: 0.720310 loss_bbox: 0.276793 loss_dfl: 0.180457 loss: 1.176079 eta: 3:48:56 batch_cost: 2.1433 data_cost: 0.0028 ips: 29.8603 images/s [10/18 21:39:34] ppdet.engine INFO: Epoch: [272] [200/229] learning_rate: 0.008015 loss_vfl: 0.711166 loss_bbox: 0.263369 loss_dfl: 0.178584 loss: 1.152584 eta: 3:48:12 batch_cost: 2.1008 data_cost: 0.0036 ips: 30.4645 images/s [10/18 21:40:12] ppdet.engine INFO: Epoch: [272] [220/229] learning_rate: 0.007964 loss_vfl: 0.722887 loss_bbox: 0.272173 loss_dfl: 0.186005 loss: 1.188049 eta: 3:47:27 batch_cost: 1.7390 data_cost: 0.0038 ips: 36.8036 images/s [10/18 21:40:55] ppdet.engine INFO: Epoch: [273] [ 0/229] learning_rate: 0.007941 loss_vfl: 0.711663 loss_bbox: 0.277874 loss_dfl: 0.182941 loss: 1.182153 eta: 3:47:09 batch_cost: 2.6821 data_cost: 0.7985 ips: 23.8617 images/s [10/18 21:41:44] ppdet.engine INFO: Epoch: [273] [ 20/229] learning_rate: 0.007890 loss_vfl: 0.729726 loss_bbox: 0.292791 loss_dfl: 0.197236 loss: 1.219216 eta: 3:46:25 batch_cost: 2.2992 data_cost: 0.0034 ips: 27.8362 images/s [10/18 21:42:30] ppdet.engine INFO: Epoch: [273] [ 40/229] learning_rate: 0.007840 loss_vfl: 0.716568 loss_bbox: 0.279447 loss_dfl: 0.188733 loss: 1.192155 eta: 3:45:41 batch_cost: 2.1628 data_cost: 0.0024 ips: 29.5918 images/s [10/18 21:43:18] ppdet.engine INFO: Epoch: [273] [ 60/229] learning_rate: 0.007789 loss_vfl: 0.728015 loss_bbox: 0.284003 loss_dfl: 0.187296 loss: 1.202144 eta: 3:44:57 batch_cost: 2.2022 data_cost: 0.0039 ips: 29.0617 images/s [10/18 21:44:06] ppdet.engine INFO: Epoch: [273] [ 80/229] learning_rate: 0.007738 loss_vfl: 0.739240 loss_bbox: 0.268235 loss_dfl: 0.183479 loss: 1.196142 eta: 3:44:12 batch_cost: 2.2008 data_cost: 0.0044 ips: 29.0809 images/s [10/18 21:44:54] ppdet.engine INFO: Epoch: [273] [100/229] learning_rate: 0.007688 loss_vfl: 0.733103 loss_bbox: 0.278124 loss_dfl: 0.187130 loss: 1.187805 eta: 3:43:28 batch_cost: 2.1878 data_cost: 0.0057 ips: 29.2535 images/s [10/18 21:45:41] ppdet.engine INFO: Epoch: [273] [120/229] learning_rate: 0.007638 loss_vfl: 0.729486 loss_bbox: 0.272016 loss_dfl: 0.190106 loss: 1.187954 eta: 3:42:44 batch_cost: 2.1346 data_cost: 0.0061 ips: 29.9829 images/s [10/18 21:46:28] ppdet.engine INFO: Epoch: [273] [140/229] learning_rate: 0.007588 loss_vfl: 0.714045 loss_bbox: 0.283298 loss_dfl: 0.180996 loss: 1.181577 eta: 3:42:00 batch_cost: 2.2095 data_cost: 0.0046 ips: 28.9657 images/s [10/18 21:47:16] ppdet.engine INFO: Epoch: [273] [160/229] learning_rate: 0.007538 loss_vfl: 0.727795 loss_bbox: 0.280256 loss_dfl: 0.184146 loss: 1.183871 eta: 3:41:16 batch_cost: 2.1627 data_cost: 0.0132 ips: 29.5928 images/s [10/18 21:48:03] ppdet.engine INFO: Epoch: [273] [180/229] learning_rate: 0.007488 loss_vfl: 0.707488 loss_bbox: 0.298170 loss_dfl: 0.188510 loss: 1.194198 eta: 3:40:32 batch_cost: 2.2160 data_cost: 0.0022 ips: 28.8805 images/s [10/18 21:48:49] ppdet.engine INFO: Epoch: [273] [200/229] learning_rate: 0.007439 loss_vfl: 0.725643 loss_bbox: 0.276821 loss_dfl: 0.189926 loss: 1.203027 eta: 3:39:47 batch_cost: 2.0619 data_cost: 0.0051 ips: 31.0393 images/s [10/18 21:49:27] ppdet.engine INFO: Epoch: [273] [220/229] learning_rate: 0.007390 loss_vfl: 0.704936 loss_bbox: 0.294430 loss_dfl: 0.186397 loss: 1.189363 eta: 3:39:02 batch_cost: 1.7324 data_cost: 0.0026 ips: 36.9419 images/s [10/18 21:50:13] ppdet.engine INFO: Epoch: [274] [ 0/229] learning_rate: 0.007367 loss_vfl: 0.708844 loss_bbox: 0.279352 loss_dfl: 0.180606 loss: 1.182765 eta: 3:38:45 batch_cost: 2.7949 data_cost: 1.1691 ips: 22.8991 images/s [10/18 21:50:59] ppdet.engine INFO: Epoch: [274] [ 20/229] learning_rate: 0.007318 loss_vfl: 0.714383 loss_bbox: 0.268725 loss_dfl: 0.186384 loss: 1.166759 eta: 3:38:00 batch_cost: 2.1366 data_cost: 0.0037 ips: 29.9537 images/s [10/18 21:51:47] ppdet.engine INFO: Epoch: [274] [ 40/229] learning_rate: 0.007269 loss_vfl: 0.719612 loss_bbox: 0.256622 loss_dfl: 0.178487 loss: 1.167232 eta: 3:37:16 batch_cost: 2.2058 data_cost: 0.0048 ips: 29.0148 images/s [10/18 21:52:34] ppdet.engine INFO: Epoch: [274] [ 60/229] learning_rate: 0.007221 loss_vfl: 0.712768 loss_bbox: 0.272352 loss_dfl: 0.184538 loss: 1.180629 eta: 3:36:32 batch_cost: 2.1590 data_cost: 0.0030 ips: 29.6427 images/s [10/18 21:53:21] ppdet.engine INFO: Epoch: [274] [ 80/229] learning_rate: 0.007172 loss_vfl: 0.722702 loss_bbox: 0.278260 loss_dfl: 0.182567 loss: 1.199033 eta: 3:35:48 batch_cost: 2.0982 data_cost: 0.0050 ips: 30.5024 images/s [10/18 21:54:08] ppdet.engine INFO: Epoch: [274] [100/229] learning_rate: 0.007124 loss_vfl: 0.728497 loss_bbox: 0.279131 loss_dfl: 0.180589 loss: 1.181002 eta: 3:35:04 batch_cost: 2.1456 data_cost: 0.0028 ips: 29.8281 images/s [10/18 21:54:54] ppdet.engine INFO: Epoch: [274] [120/229] learning_rate: 0.007075 loss_vfl: 0.708175 loss_bbox: 0.267287 loss_dfl: 0.185477 loss: 1.154025 eta: 3:34:19 batch_cost: 2.1738 data_cost: 0.0055 ips: 29.4418 images/s [10/18 21:55:41] ppdet.engine INFO: Epoch: [274] [140/229] learning_rate: 0.007027 loss_vfl: 0.710347 loss_bbox: 0.267665 loss_dfl: 0.178068 loss: 1.157696 eta: 3:33:35 batch_cost: 2.1465 data_cost: 0.0036 ips: 29.8162 images/s [10/18 21:56:29] ppdet.engine INFO: Epoch: [274] [160/229] learning_rate: 0.006979 loss_vfl: 0.711749 loss_bbox: 0.272841 loss_dfl: 0.185198 loss: 1.165126 eta: 3:32:51 batch_cost: 2.1875 data_cost: 0.0082 ips: 29.2573 images/s [10/18 21:57:16] ppdet.engine INFO: Epoch: [274] [180/229] learning_rate: 0.006931 loss_vfl: 0.722708 loss_bbox: 0.285196 loss_dfl: 0.189323 loss: 1.197705 eta: 3:32:07 batch_cost: 2.1641 data_cost: 0.0028 ips: 29.5729 images/s [10/18 21:58:03] ppdet.engine INFO: Epoch: [274] [200/229] learning_rate: 0.006884 loss_vfl: 0.712927 loss_bbox: 0.279387 loss_dfl: 0.188188 loss: 1.166826 eta: 3:31:23 batch_cost: 2.2031 data_cost: 0.0048 ips: 29.0497 images/s [10/18 21:58:40] ppdet.engine INFO: Epoch: [274] [220/229] learning_rate: 0.006836 loss_vfl: 0.711033 loss_bbox: 0.289348 loss_dfl: 0.197631 loss: 1.212087 eta: 3:30:38 batch_cost: 1.6841 data_cost: 0.0020 ips: 38.0027 images/s [10/18 21:59:20] ppdet.engine INFO: Epoch: [275] [ 0/229] learning_rate: 0.006815 loss_vfl: 0.710817 loss_bbox: 0.283356 loss_dfl: 0.186076 loss: 1.179657 eta: 3:30:19 batch_cost: 2.5002 data_cost: 0.7461 ips: 25.5981 images/s [10/18 22:00:12] ppdet.engine INFO: Epoch: [275] [ 20/229] learning_rate: 0.006768 loss_vfl: 0.715252 loss_bbox: 0.282713 loss_dfl: 0.188178 loss: 1.195329 eta: 3:29:36 batch_cost: 2.4114 data_cost: 0.0030 ips: 26.5402 images/s [10/18 22:01:00] ppdet.engine INFO: Epoch: [275] [ 40/229] learning_rate: 0.006720 loss_vfl: 0.710093 loss_bbox: 0.292882 loss_dfl: 0.193279 loss: 1.191904 eta: 3:28:52 batch_cost: 2.2647 data_cost: 0.0058 ips: 28.2598 images/s [10/18 22:01:47] ppdet.engine INFO: Epoch: [275] [ 60/229] learning_rate: 0.006674 loss_vfl: 0.713492 loss_bbox: 0.286423 loss_dfl: 0.198339 loss: 1.210581 eta: 3:28:08 batch_cost: 2.1674 data_cost: 0.0031 ips: 29.5284 images/s [10/18 22:02:35] ppdet.engine INFO: Epoch: [275] [ 80/229] learning_rate: 0.006627 loss_vfl: 0.722291 loss_bbox: 0.276392 loss_dfl: 0.176861 loss: 1.171995 eta: 3:27:23 batch_cost: 2.2363 data_cost: 0.0029 ips: 28.6185 images/s [10/18 22:03:22] ppdet.engine INFO: Epoch: [275] [100/229] learning_rate: 0.006580 loss_vfl: 0.720526 loss_bbox: 0.277366 loss_dfl: 0.187164 loss: 1.179426 eta: 3:26:39 batch_cost: 2.1832 data_cost: 0.0045 ips: 29.3142 images/s [10/18 22:04:10] ppdet.engine INFO: Epoch: [275] [120/229] learning_rate: 0.006534 loss_vfl: 0.723614 loss_bbox: 0.275686 loss_dfl: 0.181016 loss: 1.197009 eta: 3:25:55 batch_cost: 2.1633 data_cost: 0.0042 ips: 29.5838 images/s [10/18 22:04:57] ppdet.engine INFO: Epoch: [275] [140/229] learning_rate: 0.006487 loss_vfl: 0.721690 loss_bbox: 0.286807 loss_dfl: 0.188202 loss: 1.189422 eta: 3:25:11 batch_cost: 2.1309 data_cost: 0.0053 ips: 30.0340 images/s [10/18 22:05:45] ppdet.engine INFO: Epoch: [275] [160/229] learning_rate: 0.006441 loss_vfl: 0.716431 loss_bbox: 0.267426 loss_dfl: 0.185734 loss: 1.174074 eta: 3:24:27 batch_cost: 2.1897 data_cost: 0.0055 ips: 29.2275 images/s [10/18 22:06:32] ppdet.engine INFO: Epoch: [275] [180/229] learning_rate: 0.006395 loss_vfl: 0.726708 loss_bbox: 0.272639 loss_dfl: 0.177032 loss: 1.177092 eta: 3:23:43 batch_cost: 2.2461 data_cost: 0.0057 ips: 28.4936 images/s [10/18 22:07:18] ppdet.engine INFO: Epoch: [275] [200/229] learning_rate: 0.006349 loss_vfl: 0.721331 loss_bbox: 0.289496 loss_dfl: 0.188901 loss: 1.197461 eta: 3:22:59 batch_cost: 2.0966 data_cost: 0.0089 ips: 30.5259 images/s [10/18 22:07:57] ppdet.engine INFO: Epoch: [275] [220/229] learning_rate: 0.006304 loss_vfl: 0.717334 loss_bbox: 0.278954 loss_dfl: 0.183340 loss: 1.191388 eta: 3:22:14 batch_cost: 1.7753 data_cost: 0.0038 ips: 36.0498 images/s [10/18 22:08:41] ppdet.engine INFO: Epoch: [276] [ 0/229] learning_rate: 0.006283 loss_vfl: 0.733212 loss_bbox: 0.285817 loss_dfl: 0.186586 loss: 1.212521 eta: 3:21:56 batch_cost: 2.7032 data_cost: 1.1414 ips: 23.6760 images/s [10/18 22:09:29] ppdet.engine INFO: Epoch: [276] [ 20/229] learning_rate: 0.006238 loss_vfl: 0.718384 loss_bbox: 0.262514 loss_dfl: 0.172597 loss: 1.150617 eta: 3:21:11 batch_cost: 2.1760 data_cost: 0.0039 ips: 29.4120 images/s [10/18 22:10:16] ppdet.engine INFO: Epoch: [276] [ 40/229] learning_rate: 0.006193 loss_vfl: 0.712068 loss_bbox: 0.280268 loss_dfl: 0.179694 loss: 1.174185 eta: 3:20:27 batch_cost: 2.1808 data_cost: 0.0033 ips: 29.3473 images/s [10/18 22:11:03] ppdet.engine INFO: Epoch: [276] [ 60/229] learning_rate: 0.006148 loss_vfl: 0.715064 loss_bbox: 0.262128 loss_dfl: 0.174017 loss: 1.148165 eta: 3:19:43 batch_cost: 2.2263 data_cost: 0.0072 ips: 28.7467 images/s [10/18 22:11:52] ppdet.engine INFO: Epoch: [276] [ 80/229] learning_rate: 0.006103 loss_vfl: 0.717901 loss_bbox: 0.271191 loss_dfl: 0.181874 loss: 1.195030 eta: 3:18:59 batch_cost: 2.2513 data_cost: 0.0027 ips: 28.4283 images/s [10/18 22:12:39] ppdet.engine INFO: Epoch: [276] [100/229] learning_rate: 0.006058 loss_vfl: 0.692980 loss_bbox: 0.262885 loss_dfl: 0.179153 loss: 1.153995 eta: 3:18:15 batch_cost: 2.2153 data_cost: 0.0053 ips: 28.8896 images/s [10/18 22:13:26] ppdet.engine INFO: Epoch: [276] [120/229] learning_rate: 0.006013 loss_vfl: 0.714088 loss_bbox: 0.281790 loss_dfl: 0.189274 loss: 1.190687 eta: 3:17:31 batch_cost: 2.1153 data_cost: 0.0033 ips: 30.2563 images/s [10/18 22:14:12] ppdet.engine INFO: Epoch: [276] [140/229] learning_rate: 0.005969 loss_vfl: 0.717167 loss_bbox: 0.272570 loss_dfl: 0.183499 loss: 1.185947 eta: 3:16:47 batch_cost: 2.1398 data_cost: 0.0033 ips: 29.9088 images/s [10/18 22:14:59] ppdet.engine INFO: Epoch: [276] [160/229] learning_rate: 0.005925 loss_vfl: 0.740164 loss_bbox: 0.285860 loss_dfl: 0.187053 loss: 1.222427 eta: 3:16:02 batch_cost: 2.1259 data_cost: 0.0049 ips: 30.1046 images/s [10/18 22:15:45] ppdet.engine INFO: Epoch: [276] [180/229] learning_rate: 0.005881 loss_vfl: 0.725329 loss_bbox: 0.282408 loss_dfl: 0.186585 loss: 1.197359 eta: 3:15:18 batch_cost: 2.0944 data_cost: 0.0036 ips: 30.5577 images/s [10/18 22:16:31] ppdet.engine INFO: Epoch: [276] [200/229] learning_rate: 0.005837 loss_vfl: 0.722118 loss_bbox: 0.276753 loss_dfl: 0.188452 loss: 1.179811 eta: 3:14:34 batch_cost: 2.1156 data_cost: 0.0025 ips: 30.2511 images/s [10/18 22:17:10] ppdet.engine INFO: Epoch: [276] [220/229] learning_rate: 0.005793 loss_vfl: 0.721433 loss_bbox: 0.289591 loss_dfl: 0.196831 loss: 1.226461 eta: 3:13:49 batch_cost: 1.7145 data_cost: 0.0065 ips: 37.3291 images/s [10/18 22:17:52] ppdet.engine INFO: Epoch: [277] [ 0/229] learning_rate: 0.005773 loss_vfl: 0.726963 loss_bbox: 0.291097 loss_dfl: 0.192888 loss: 1.202224 eta: 3:13:31 batch_cost: 2.6130 data_cost: 0.8908 ips: 24.4926 images/s [10/18 22:18:41] ppdet.engine INFO: Epoch: [277] [ 20/229] learning_rate: 0.005730 loss_vfl: 0.719323 loss_bbox: 0.265221 loss_dfl: 0.179563 loss: 1.164583 eta: 3:12:46 batch_cost: 2.1534 data_cost: 0.0033 ips: 29.7207 images/s [10/18 22:19:29] ppdet.engine INFO: Epoch: [277] [ 40/229] learning_rate: 0.005686 loss_vfl: 0.702796 loss_bbox: 0.261455 loss_dfl: 0.182086 loss: 1.173277 eta: 3:12:02 batch_cost: 2.2219 data_cost: 0.0031 ips: 28.8041 images/s [10/18 22:20:16] ppdet.engine INFO: Epoch: [277] [ 60/229] learning_rate: 0.005643 loss_vfl: 0.705262 loss_bbox: 0.279672 loss_dfl: 0.178244 loss: 1.169841 eta: 3:11:18 batch_cost: 2.1972 data_cost: 0.0063 ips: 29.1279 images/s [10/18 22:21:04] ppdet.engine INFO: Epoch: [277] [ 80/229] learning_rate: 0.005600 loss_vfl: 0.722842 loss_bbox: 0.265952 loss_dfl: 0.184126 loss: 1.181088 eta: 3:10:34 batch_cost: 2.2456 data_cost: 0.0038 ips: 28.5005 images/s [10/18 22:21:51] ppdet.engine INFO: Epoch: [277] [100/229] learning_rate: 0.005557 loss_vfl: 0.709160 loss_bbox: 0.279193 loss_dfl: 0.191474 loss: 1.185899 eta: 3:09:50 batch_cost: 2.1611 data_cost: 0.0030 ips: 29.6151 images/s [10/18 22:22:38] ppdet.engine INFO: Epoch: [277] [120/229] learning_rate: 0.005514 loss_vfl: 0.707009 loss_bbox: 0.267585 loss_dfl: 0.184250 loss: 1.160528 eta: 3:09:06 batch_cost: 2.1833 data_cost: 0.0059 ips: 29.3132 images/s [10/18 22:23:25] ppdet.engine INFO: Epoch: [277] [140/229] learning_rate: 0.005472 loss_vfl: 0.732942 loss_bbox: 0.279384 loss_dfl: 0.186986 loss: 1.209787 eta: 3:08:22 batch_cost: 2.2096 data_cost: 0.0038 ips: 28.9646 images/s [10/18 22:24:12] ppdet.engine INFO: Epoch: [277] [160/229] learning_rate: 0.005429 loss_vfl: 0.718765 loss_bbox: 0.301839 loss_dfl: 0.199001 loss: 1.225760 eta: 3:07:38 batch_cost: 2.1663 data_cost: 0.0026 ips: 29.5430 images/s [10/18 22:24:59] ppdet.engine INFO: Epoch: [277] [180/229] learning_rate: 0.005387 loss_vfl: 0.715671 loss_bbox: 0.267268 loss_dfl: 0.184734 loss: 1.166838 eta: 3:06:54 batch_cost: 2.1323 data_cost: 0.0032 ips: 30.0148 images/s [10/18 22:25:46] ppdet.engine INFO: Epoch: [277] [200/229] learning_rate: 0.005345 loss_vfl: 0.724559 loss_bbox: 0.257405 loss_dfl: 0.182611 loss: 1.167448 eta: 3:06:09 batch_cost: 2.1711 data_cost: 0.0061 ips: 29.4783 images/s [10/18 22:26:25] ppdet.engine INFO: Epoch: [277] [220/229] learning_rate: 0.005303 loss_vfl: 0.715733 loss_bbox: 0.290836 loss_dfl: 0.188451 loss: 1.189667 eta: 3:05:25 batch_cost: 1.8169 data_cost: 0.0020 ips: 35.2240 images/s [10/18 22:27:09] ppdet.engine INFO: Epoch: [278] [ 0/229] learning_rate: 0.005284 loss_vfl: 0.714228 loss_bbox: 0.292472 loss_dfl: 0.192331 loss: 1.198872 eta: 3:05:06 batch_cost: 2.7297 data_cost: 1.0254 ips: 23.4456 images/s [10/18 22:27:57] ppdet.engine INFO: Epoch: [278] [ 20/229] learning_rate: 0.005243 loss_vfl: 0.709082 loss_bbox: 0.284780 loss_dfl: 0.186370 loss: 1.171044 eta: 3:04:22 batch_cost: 2.2196 data_cost: 0.0045 ips: 28.8341 images/s [10/18 22:28:44] ppdet.engine INFO: Epoch: [278] [ 40/229] learning_rate: 0.005201 loss_vfl: 0.716110 loss_bbox: 0.260587 loss_dfl: 0.176635 loss: 1.158304 eta: 3:03:38 batch_cost: 2.2044 data_cost: 0.0068 ips: 29.0326 images/s [10/18 22:29:32] ppdet.engine INFO: Epoch: [278] [ 60/229] learning_rate: 0.005160 loss_vfl: 0.717737 loss_bbox: 0.286923 loss_dfl: 0.187074 loss: 1.203478 eta: 3:02:54 batch_cost: 2.2354 data_cost: 0.0035 ips: 28.6298 images/s [10/18 22:30:18] ppdet.engine INFO: Epoch: [278] [ 80/229] learning_rate: 0.005118 loss_vfl: 0.719862 loss_bbox: 0.287712 loss_dfl: 0.191284 loss: 1.197464 eta: 3:02:10 batch_cost: 2.1244 data_cost: 0.0043 ips: 30.1255 images/s [10/18 22:31:05] ppdet.engine INFO: Epoch: [278] [100/229] learning_rate: 0.005077 loss_vfl: 0.736763 loss_bbox: 0.265961 loss_dfl: 0.172996 loss: 1.174402 eta: 3:01:26 batch_cost: 2.2045 data_cost: 0.0042 ips: 29.0313 images/s [10/18 22:31:52] ppdet.engine INFO: Epoch: [278] [120/229] learning_rate: 0.005037 loss_vfl: 0.702810 loss_bbox: 0.275648 loss_dfl: 0.175949 loss: 1.159221 eta: 3:00:42 batch_cost: 2.1560 data_cost: 0.0025 ips: 29.6843 images/s [10/18 22:32:38] ppdet.engine INFO: Epoch: [278] [140/229] learning_rate: 0.004996 loss_vfl: 0.718427 loss_bbox: 0.280672 loss_dfl: 0.190762 loss: 1.193392 eta: 2:59:57 batch_cost: 2.1335 data_cost: 0.0026 ips: 29.9983 images/s [10/18 22:33:26] ppdet.engine INFO: Epoch: [278] [160/229] learning_rate: 0.004955 loss_vfl: 0.716295 loss_bbox: 0.267831 loss_dfl: 0.179878 loss: 1.188063 eta: 2:59:13 batch_cost: 2.2022 data_cost: 0.0044 ips: 29.0622 images/s [10/18 22:34:13] ppdet.engine INFO: Epoch: [278] [180/229] learning_rate: 0.004915 loss_vfl: 0.715650 loss_bbox: 0.269669 loss_dfl: 0.186254 loss: 1.179562 eta: 2:58:29 batch_cost: 2.1567 data_cost: 0.0017 ips: 29.6753 images/s [10/18 22:35:01] ppdet.engine INFO: Epoch: [278] [200/229] learning_rate: 0.004875 loss_vfl: 0.717518 loss_bbox: 0.278648 loss_dfl: 0.187519 loss: 1.180892 eta: 2:57:45 batch_cost: 2.2095 data_cost: 0.0061 ips: 28.9661 images/s [10/18 22:35:38] ppdet.engine INFO: Epoch: [278] [220/229] learning_rate: 0.004835 loss_vfl: 0.720760 loss_bbox: 0.272289 loss_dfl: 0.181415 loss: 1.192963 eta: 2:57:00 batch_cost: 1.7374 data_cost: 0.0033 ips: 36.8358 images/s [10/18 22:36:20] ppdet.engine INFO: Epoch: [279] [ 0/229] learning_rate: 0.004817 loss_vfl: 0.722257 loss_bbox: 0.265114 loss_dfl: 0.178511 loss: 1.198593 eta: 2:56:42 batch_cost: 2.5937 data_cost: 1.0705 ips: 24.6750 images/s [10/18 22:37:08] ppdet.engine INFO: Epoch: [279] [ 20/229] learning_rate: 0.004777 loss_vfl: 0.721864 loss_bbox: 0.261811 loss_dfl: 0.174218 loss: 1.164196 eta: 2:55:58 batch_cost: 2.2251 data_cost: 0.0033 ips: 28.7632 images/s [10/18 22:37:55] ppdet.engine INFO: Epoch: [279] [ 40/229] learning_rate: 0.004737 loss_vfl: 0.719853 loss_bbox: 0.266304 loss_dfl: 0.182363 loss: 1.183269 eta: 2:55:13 batch_cost: 2.1046 data_cost: 0.0038 ips: 30.4094 images/s [10/18 22:38:42] ppdet.engine INFO: Epoch: [279] [ 60/229] learning_rate: 0.004698 loss_vfl: 0.726128 loss_bbox: 0.295166 loss_dfl: 0.192276 loss: 1.205621 eta: 2:54:29 batch_cost: 2.1927 data_cost: 0.0042 ips: 29.1875 images/s [10/18 22:39:29] ppdet.engine INFO: Epoch: [279] [ 80/229] learning_rate: 0.004658 loss_vfl: 0.722552 loss_bbox: 0.276675 loss_dfl: 0.186224 loss: 1.182974 eta: 2:53:45 batch_cost: 2.1262 data_cost: 0.0023 ips: 30.1011 images/s [10/18 22:40:16] ppdet.engine INFO: Epoch: [279] [100/229] learning_rate: 0.004619 loss_vfl: 0.712123 loss_bbox: 0.272115 loss_dfl: 0.186881 loss: 1.174380 eta: 2:53:01 batch_cost: 2.1843 data_cost: 0.0070 ips: 29.2997 images/s [10/18 22:41:04] ppdet.engine INFO: Epoch: [279] [120/229] learning_rate: 0.004580 loss_vfl: 0.728838 loss_bbox: 0.277948 loss_dfl: 0.184956 loss: 1.177752 eta: 2:52:17 batch_cost: 2.1972 data_cost: 0.0058 ips: 29.1281 images/s [10/18 22:41:53] ppdet.engine INFO: Epoch: [279] [140/229] learning_rate: 0.004541 loss_vfl: 0.715057 loss_bbox: 0.265157 loss_dfl: 0.178630 loss: 1.169405 eta: 2:51:33 batch_cost: 2.2576 data_cost: 0.0051 ips: 28.3493 images/s [10/18 22:42:40] ppdet.engine INFO: Epoch: [279] [160/229] learning_rate: 0.004503 loss_vfl: 0.722559 loss_bbox: 0.292226 loss_dfl: 0.192216 loss: 1.210746 eta: 2:50:49 batch_cost: 2.1797 data_cost: 0.0039 ips: 29.3624 images/s [10/18 22:43:27] ppdet.engine INFO: Epoch: [279] [180/229] learning_rate: 0.004464 loss_vfl: 0.710292 loss_bbox: 0.286691 loss_dfl: 0.185760 loss: 1.179895 eta: 2:50:05 batch_cost: 2.1340 data_cost: 0.0040 ips: 29.9913 images/s [10/18 22:44:14] ppdet.engine INFO: Epoch: [279] [200/229] learning_rate: 0.004426 loss_vfl: 0.723749 loss_bbox: 0.265358 loss_dfl: 0.179994 loss: 1.186452 eta: 2:49:20 batch_cost: 2.2374 data_cost: 0.0052 ips: 28.6048 images/s [10/18 22:44:53] ppdet.engine INFO: Epoch: [279] [220/229] learning_rate: 0.004388 loss_vfl: 0.718533 loss_bbox: 0.270840 loss_dfl: 0.185748 loss: 1.169555 eta: 2:48:36 batch_cost: 1.7831 data_cost: 0.0028 ips: 35.8935 images/s [10/18 22:45:08] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/18 22:45:08] ppdet.engine INFO: Eval iter: 0 [10/18 22:45:48] ppdet.engine INFO: Eval iter: 100 [10/18 22:46:03] ppdet.engine INFO: Eval iter: 200 [10/18 22:46:20] ppdet.engine INFO: Eval iter: 300 [10/18 22:46:35] ppdet.engine INFO: Eval iter: 400 [10/18 22:46:50] ppdet.engine INFO: Eval iter: 500 [10/18 22:47:04] ppdet.engine INFO: Eval iter: 600 [10/18 22:47:16] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.89s) creating index... index created! [10/18 22:47:17] 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=62.53s). Accumulating evaluation results... DONE (t=11.21s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.324 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 ] = 0.320 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.274 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.427 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 ] = 0.162 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 ] = 0.717 [10/18 22:48:37] ppdet.engine INFO: Total sample number: 5000, averge FPS: 41.146995898198874 [10/18 22:48:37] ppdet.engine INFO: Best test bbox ap is 0.309. [10/18 22:48:39] ppdet.engine INFO: Epoch: [280] [ 0/229] learning_rate: 0.004370 loss_vfl: 0.709491 loss_bbox: 0.271609 loss_dfl: 0.185138 loss: 1.162000 eta: 2:48:15 batch_cost: 1.3177 data_cost: 0.0020 ips: 48.5707 images/s [10/18 22:49:26] ppdet.engine INFO: Epoch: [280] [ 20/229] learning_rate: 0.004333 loss_vfl: 0.716598 loss_bbox: 0.272622 loss_dfl: 0.183680 loss: 1.174139 eta: 2:47:31 batch_cost: 2.1618 data_cost: 0.0027 ips: 29.6050 images/s [10/18 22:50:13] ppdet.engine INFO: Epoch: [280] [ 40/229] learning_rate: 0.004295 loss_vfl: 0.724277 loss_bbox: 0.272300 loss_dfl: 0.187621 loss: 1.185739 eta: 2:46:47 batch_cost: 2.1927 data_cost: 0.0037 ips: 29.1880 images/s [10/18 22:51:01] ppdet.engine INFO: Epoch: [280] [ 60/229] learning_rate: 0.004257 loss_vfl: 0.715463 loss_bbox: 0.276843 loss_dfl: 0.188783 loss: 1.198081 eta: 2:46:03 batch_cost: 2.2357 data_cost: 0.0017 ips: 28.6265 images/s [10/18 22:51:48] ppdet.engine INFO: Epoch: [280] [ 80/229] learning_rate: 0.004220 loss_vfl: 0.708114 loss_bbox: 0.280429 loss_dfl: 0.183685 loss: 1.172261 eta: 2:45:19 batch_cost: 2.1640 data_cost: 0.0059 ips: 29.5755 images/s [10/18 22:52:34] ppdet.engine INFO: Epoch: [280] [100/229] learning_rate: 0.004182 loss_vfl: 0.733295 loss_bbox: 0.271136 loss_dfl: 0.182490 loss: 1.205559 eta: 2:44:35 batch_cost: 2.1520 data_cost: 0.0071 ips: 29.7399 images/s [10/18 22:53:20] ppdet.engine INFO: Epoch: [280] [120/229] learning_rate: 0.004145 loss_vfl: 0.717841 loss_bbox: 0.287516 loss_dfl: 0.184387 loss: 1.190531 eta: 2:43:50 batch_cost: 2.1201 data_cost: 0.0051 ips: 30.1870 images/s [10/18 22:54:08] ppdet.engine INFO: Epoch: [280] [140/229] learning_rate: 0.004108 loss_vfl: 0.716707 loss_bbox: 0.274980 loss_dfl: 0.185517 loss: 1.197092 eta: 2:43:06 batch_cost: 2.1842 data_cost: 0.0041 ips: 29.3009 images/s [10/18 22:54:55] ppdet.engine INFO: Epoch: [280] [160/229] learning_rate: 0.004071 loss_vfl: 0.719483 loss_bbox: 0.292595 loss_dfl: 0.185626 loss: 1.207542 eta: 2:42:22 batch_cost: 2.1975 data_cost: 0.0060 ips: 29.1247 images/s [10/18 22:55:42] ppdet.engine INFO: Epoch: [280] [180/229] learning_rate: 0.004035 loss_vfl: 0.702185 loss_bbox: 0.289794 loss_dfl: 0.185058 loss: 1.170146 eta: 2:41:38 batch_cost: 2.1765 data_cost: 0.0016 ips: 29.4054 images/s [10/18 22:56:29] ppdet.engine INFO: Epoch: [280] [200/229] learning_rate: 0.003998 loss_vfl: 0.698045 loss_bbox: 0.273549 loss_dfl: 0.186973 loss: 1.155659 eta: 2:40:54 batch_cost: 2.1310 data_cost: 0.0038 ips: 30.0332 images/s [10/18 22:57:06] ppdet.engine INFO: Epoch: [280] [220/229] learning_rate: 0.003962 loss_vfl: 0.719033 loss_bbox: 0.289344 loss_dfl: 0.186084 loss: 1.197118 eta: 2:40:09 batch_cost: 1.7209 data_cost: 0.0031 ips: 37.1908 images/s [10/18 22:57:48] ppdet.engine INFO: Epoch: [281] [ 0/229] learning_rate: 0.003946 loss_vfl: 0.720930 loss_bbox: 0.290229 loss_dfl: 0.187508 loss: 1.196012 eta: 2:39:50 batch_cost: 2.6035 data_cost: 0.8986 ips: 24.5826 images/s [10/18 22:58:38] ppdet.engine INFO: Epoch: [281] [ 20/229] learning_rate: 0.003910 loss_vfl: 0.713314 loss_bbox: 0.263332 loss_dfl: 0.179329 loss: 1.132518 eta: 2:39:07 batch_cost: 2.3278 data_cost: 0.0053 ips: 27.4933 images/s [10/18 22:59:24] ppdet.engine INFO: Epoch: [281] [ 40/229] learning_rate: 0.003874 loss_vfl: 0.723555 loss_bbox: 0.266201 loss_dfl: 0.183816 loss: 1.174754 eta: 2:38:22 batch_cost: 2.1562 data_cost: 0.0031 ips: 29.6823 images/s [10/18 23:00:12] ppdet.engine INFO: Epoch: [281] [ 60/229] learning_rate: 0.003838 loss_vfl: 0.712077 loss_bbox: 0.279010 loss_dfl: 0.186425 loss: 1.183688 eta: 2:37:38 batch_cost: 2.1683 data_cost: 0.0074 ips: 29.5156 images/s [10/18 23:00:58] ppdet.engine INFO: Epoch: [281] [ 80/229] learning_rate: 0.003802 loss_vfl: 0.705292 loss_bbox: 0.297142 loss_dfl: 0.190839 loss: 1.198974 eta: 2:36:54 batch_cost: 2.1691 data_cost: 0.0034 ips: 29.5054 images/s [10/18 23:01:44] ppdet.engine INFO: Epoch: [281] [100/229] learning_rate: 0.003767 loss_vfl: 0.728112 loss_bbox: 0.287166 loss_dfl: 0.183392 loss: 1.195739 eta: 2:36:10 batch_cost: 2.1478 data_cost: 0.0099 ips: 29.7984 images/s [10/18 23:02:31] ppdet.engine INFO: Epoch: [281] [120/229] learning_rate: 0.003732 loss_vfl: 0.707274 loss_bbox: 0.271026 loss_dfl: 0.185481 loss: 1.178490 eta: 2:35:26 batch_cost: 2.1193 data_cost: 0.0063 ips: 30.1992 images/s [10/18 23:03:18] ppdet.engine INFO: Epoch: [281] [140/229] learning_rate: 0.003697 loss_vfl: 0.713346 loss_bbox: 0.288643 loss_dfl: 0.191262 loss: 1.191778 eta: 2:34:42 batch_cost: 2.1507 data_cost: 0.0033 ips: 29.7584 images/s [10/18 23:04:04] ppdet.engine INFO: Epoch: [281] [160/229] learning_rate: 0.003662 loss_vfl: 0.726065 loss_bbox: 0.260566 loss_dfl: 0.180479 loss: 1.163658 eta: 2:33:58 batch_cost: 2.1686 data_cost: 0.0023 ips: 29.5124 images/s [10/18 23:04:50] ppdet.engine INFO: Epoch: [281] [180/229] learning_rate: 0.003627 loss_vfl: 0.705734 loss_bbox: 0.271956 loss_dfl: 0.178480 loss: 1.165257 eta: 2:33:13 batch_cost: 2.1408 data_cost: 0.0045 ips: 29.8948 images/s [10/18 23:05:36] ppdet.engine INFO: Epoch: [281] [200/229] learning_rate: 0.003592 loss_vfl: 0.710384 loss_bbox: 0.274164 loss_dfl: 0.190359 loss: 1.167416 eta: 2:32:29 batch_cost: 2.0926 data_cost: 0.0021 ips: 30.5837 images/s [10/18 23:06:15] ppdet.engine INFO: Epoch: [281] [220/229] learning_rate: 0.003558 loss_vfl: 0.724967 loss_bbox: 0.275358 loss_dfl: 0.182526 loss: 1.168249 eta: 2:31:44 batch_cost: 1.7757 data_cost: 0.0048 ips: 36.0429 images/s [10/18 23:06:59] ppdet.engine INFO: Epoch: [282] [ 0/229] learning_rate: 0.003543 loss_vfl: 0.716821 loss_bbox: 0.273003 loss_dfl: 0.183927 loss: 1.159356 eta: 2:31:26 batch_cost: 2.6822 data_cost: 0.9836 ips: 23.8608 images/s [10/18 23:07:46] ppdet.engine INFO: Epoch: [282] [ 20/229] learning_rate: 0.003508 loss_vfl: 0.722119 loss_bbox: 0.284744 loss_dfl: 0.182997 loss: 1.202700 eta: 2:30:42 batch_cost: 2.1723 data_cost: 0.0069 ips: 29.4612 images/s [10/18 23:08:35] ppdet.engine INFO: Epoch: [282] [ 40/229] learning_rate: 0.003474 loss_vfl: 0.711853 loss_bbox: 0.273750 loss_dfl: 0.182853 loss: 1.179824 eta: 2:29:58 batch_cost: 2.2780 data_cost: 0.0066 ips: 28.0947 images/s [10/18 23:09:22] ppdet.engine INFO: Epoch: [282] [ 60/229] learning_rate: 0.003440 loss_vfl: 0.720148 loss_bbox: 0.284496 loss_dfl: 0.187661 loss: 1.204302 eta: 2:29:13 batch_cost: 2.1283 data_cost: 0.0041 ips: 30.0710 images/s [10/18 23:10:09] ppdet.engine INFO: Epoch: [282] [ 80/229] learning_rate: 0.003407 loss_vfl: 0.719905 loss_bbox: 0.284070 loss_dfl: 0.186488 loss: 1.179713 eta: 2:28:29 batch_cost: 2.1676 data_cost: 0.0043 ips: 29.5260 images/s [10/18 23:10:56] ppdet.engine INFO: Epoch: [282] [100/229] learning_rate: 0.003373 loss_vfl: 0.721815 loss_bbox: 0.269989 loss_dfl: 0.184915 loss: 1.180049 eta: 2:27:45 batch_cost: 2.1854 data_cost: 0.0046 ips: 29.2853 images/s [10/18 23:11:43] ppdet.engine INFO: Epoch: [282] [120/229] learning_rate: 0.003340 loss_vfl: 0.726230 loss_bbox: 0.276565 loss_dfl: 0.182391 loss: 1.173526 eta: 2:27:01 batch_cost: 2.2033 data_cost: 0.0042 ips: 29.0480 images/s [10/18 23:12:30] ppdet.engine INFO: Epoch: [282] [140/229] learning_rate: 0.003307 loss_vfl: 0.700602 loss_bbox: 0.275509 loss_dfl: 0.182884 loss: 1.179457 eta: 2:26:17 batch_cost: 2.1463 data_cost: 0.0055 ips: 29.8189 images/s [10/18 23:13:17] ppdet.engine INFO: Epoch: [282] [160/229] learning_rate: 0.003274 loss_vfl: 0.710341 loss_bbox: 0.264469 loss_dfl: 0.182170 loss: 1.147273 eta: 2:25:33 batch_cost: 2.1664 data_cost: 0.0047 ips: 29.5420 images/s [10/18 23:14:04] ppdet.engine INFO: Epoch: [282] [180/229] learning_rate: 0.003241 loss_vfl: 0.709940 loss_bbox: 0.288775 loss_dfl: 0.192865 loss: 1.185359 eta: 2:24:49 batch_cost: 2.1575 data_cost: 0.0044 ips: 29.6641 images/s [10/18 23:14:51] ppdet.engine INFO: Epoch: [282] [200/229] learning_rate: 0.003208 loss_vfl: 0.719807 loss_bbox: 0.274849 loss_dfl: 0.187799 loss: 1.182651 eta: 2:24:05 batch_cost: 2.1723 data_cost: 0.0028 ips: 29.4617 images/s [10/18 23:15:29] ppdet.engine INFO: Epoch: [282] [220/229] learning_rate: 0.003175 loss_vfl: 0.714635 loss_bbox: 0.277293 loss_dfl: 0.183493 loss: 1.169834 eta: 2:23:20 batch_cost: 1.7789 data_cost: 0.0027 ips: 35.9767 images/s [10/18 23:16:12] ppdet.engine INFO: Epoch: [283] [ 0/229] learning_rate: 0.003161 loss_vfl: 0.715766 loss_bbox: 0.277268 loss_dfl: 0.183954 loss: 1.176869 eta: 2:23:01 batch_cost: 2.6595 data_cost: 0.9692 ips: 24.0649 images/s [10/18 23:17:00] ppdet.engine INFO: Epoch: [283] [ 20/229] learning_rate: 0.003129 loss_vfl: 0.709953 loss_bbox: 0.281192 loss_dfl: 0.181876 loss: 1.185169 eta: 2:22:17 batch_cost: 2.1331 data_cost: 0.0075 ips: 30.0039 images/s [10/18 23:17:47] ppdet.engine INFO: Epoch: [283] [ 40/229] learning_rate: 0.003096 loss_vfl: 0.723788 loss_bbox: 0.262843 loss_dfl: 0.177457 loss: 1.178891 eta: 2:21:33 batch_cost: 2.2061 data_cost: 0.0049 ips: 29.0108 images/s [10/18 23:18:35] ppdet.engine INFO: Epoch: [283] [ 60/229] learning_rate: 0.003064 loss_vfl: 0.712675 loss_bbox: 0.276488 loss_dfl: 0.182929 loss: 1.172694 eta: 2:20:49 batch_cost: 2.2002 data_cost: 0.0044 ips: 29.0880 images/s [10/18 23:19:21] ppdet.engine INFO: Epoch: [283] [ 80/229] learning_rate: 0.003033 loss_vfl: 0.708562 loss_bbox: 0.272613 loss_dfl: 0.187024 loss: 1.182568 eta: 2:20:05 batch_cost: 2.1519 data_cost: 0.0064 ips: 29.7407 images/s [10/18 23:20:08] ppdet.engine INFO: Epoch: [283] [100/229] learning_rate: 0.003001 loss_vfl: 0.730300 loss_bbox: 0.267545 loss_dfl: 0.181810 loss: 1.190495 eta: 2:19:21 batch_cost: 2.1870 data_cost: 0.0053 ips: 29.2641 images/s [10/18 23:20:55] ppdet.engine INFO: Epoch: [283] [120/229] learning_rate: 0.002969 loss_vfl: 0.705321 loss_bbox: 0.277546 loss_dfl: 0.184935 loss: 1.176962 eta: 2:18:37 batch_cost: 2.2088 data_cost: 0.0028 ips: 28.9749 images/s [10/18 23:21:41] ppdet.engine INFO: Epoch: [283] [140/229] learning_rate: 0.002938 loss_vfl: 0.711608 loss_bbox: 0.277585 loss_dfl: 0.189610 loss: 1.186047 eta: 2:17:52 batch_cost: 2.1554 data_cost: 0.0052 ips: 29.6926 images/s [10/18 23:22:29] ppdet.engine INFO: Epoch: [283] [160/229] learning_rate: 0.002907 loss_vfl: 0.722016 loss_bbox: 0.275056 loss_dfl: 0.192591 loss: 1.200880 eta: 2:17:08 batch_cost: 2.2004 data_cost: 0.0029 ips: 29.0850 images/s [10/18 23:23:16] ppdet.engine INFO: Epoch: [283] [180/229] learning_rate: 0.002876 loss_vfl: 0.726949 loss_bbox: 0.267687 loss_dfl: 0.178548 loss: 1.181669 eta: 2:16:24 batch_cost: 2.2167 data_cost: 0.0053 ips: 28.8718 images/s [10/18 23:24:02] ppdet.engine INFO: Epoch: [283] [200/229] learning_rate: 0.002845 loss_vfl: 0.719862 loss_bbox: 0.291467 loss_dfl: 0.194349 loss: 1.217611 eta: 2:15:40 batch_cost: 2.1296 data_cost: 0.0073 ips: 30.0530 images/s [10/18 23:24:40] ppdet.engine INFO: Epoch: [283] [220/229] learning_rate: 0.002815 loss_vfl: 0.699269 loss_bbox: 0.274195 loss_dfl: 0.182786 loss: 1.179886 eta: 2:14:55 batch_cost: 1.7472 data_cost: 0.0026 ips: 36.6293 images/s [10/18 23:25:26] ppdet.engine INFO: Epoch: [284] [ 0/229] learning_rate: 0.002801 loss_vfl: 0.708753 loss_bbox: 0.271365 loss_dfl: 0.180749 loss: 1.157777 eta: 2:14:37 batch_cost: 2.7822 data_cost: 1.0456 ips: 23.0033 images/s [10/18 23:26:13] ppdet.engine INFO: Epoch: [284] [ 20/229] learning_rate: 0.002770 loss_vfl: 0.717798 loss_bbox: 0.284333 loss_dfl: 0.183812 loss: 1.185716 eta: 2:13:53 batch_cost: 2.1401 data_cost: 0.0030 ips: 29.9048 images/s [10/18 23:26:59] ppdet.engine INFO: Epoch: [284] [ 40/229] learning_rate: 0.002740 loss_vfl: 0.727974 loss_bbox: 0.283053 loss_dfl: 0.187139 loss: 1.177815 eta: 2:13:08 batch_cost: 2.1553 data_cost: 0.0077 ips: 29.6936 images/s [10/18 23:27:47] ppdet.engine INFO: Epoch: [284] [ 60/229] learning_rate: 0.002710 loss_vfl: 0.714224 loss_bbox: 0.282698 loss_dfl: 0.191349 loss: 1.183303 eta: 2:12:24 batch_cost: 2.1938 data_cost: 0.0069 ips: 29.1728 images/s [10/18 23:28:35] ppdet.engine INFO: Epoch: [284] [ 80/229] learning_rate: 0.002680 loss_vfl: 0.698642 loss_bbox: 0.305648 loss_dfl: 0.197252 loss: 1.198275 eta: 2:11:40 batch_cost: 2.2258 data_cost: 0.0065 ips: 28.7540 images/s [10/18 23:29:22] ppdet.engine INFO: Epoch: [284] [100/229] learning_rate: 0.002650 loss_vfl: 0.706889 loss_bbox: 0.279832 loss_dfl: 0.185813 loss: 1.167665 eta: 2:10:56 batch_cost: 2.2164 data_cost: 0.0050 ips: 28.8762 images/s [10/18 23:30:10] ppdet.engine INFO: Epoch: [284] [120/229] learning_rate: 0.002621 loss_vfl: 0.700420 loss_bbox: 0.289644 loss_dfl: 0.190274 loss: 1.190598 eta: 2:10:12 batch_cost: 2.1780 data_cost: 0.0024 ips: 29.3853 images/s [10/18 23:30:57] ppdet.engine INFO: Epoch: [284] [140/229] learning_rate: 0.002591 loss_vfl: 0.711424 loss_bbox: 0.276562 loss_dfl: 0.185817 loss: 1.166875 eta: 2:09:28 batch_cost: 2.1865 data_cost: 0.0056 ips: 29.2710 images/s [10/18 23:31:45] ppdet.engine INFO: Epoch: [284] [160/229] learning_rate: 0.002562 loss_vfl: 0.724938 loss_bbox: 0.269057 loss_dfl: 0.176862 loss: 1.161754 eta: 2:08:44 batch_cost: 2.2437 data_cost: 0.0033 ips: 28.5244 images/s [10/18 23:32:32] ppdet.engine INFO: Epoch: [284] [180/229] learning_rate: 0.002533 loss_vfl: 0.723974 loss_bbox: 0.278842 loss_dfl: 0.186372 loss: 1.188990 eta: 2:08:00 batch_cost: 2.1372 data_cost: 0.0022 ips: 29.9461 images/s [10/18 23:33:19] ppdet.engine INFO: Epoch: [284] [200/229] learning_rate: 0.002504 loss_vfl: 0.712688 loss_bbox: 0.282750 loss_dfl: 0.190183 loss: 1.189188 eta: 2:07:16 batch_cost: 2.1554 data_cost: 0.0032 ips: 29.6932 images/s [10/18 23:33:58] ppdet.engine INFO: Epoch: [284] [220/229] learning_rate: 0.002475 loss_vfl: 0.725378 loss_bbox: 0.269847 loss_dfl: 0.177616 loss: 1.159566 eta: 2:06:31 batch_cost: 1.8108 data_cost: 0.0017 ips: 35.3431 images/s [10/18 23:34:42] ppdet.engine INFO: Epoch: [285] [ 0/229] learning_rate: 0.002462 loss_vfl: 0.722096 loss_bbox: 0.270566 loss_dfl: 0.180964 loss: 1.163200 eta: 2:06:12 batch_cost: 2.7333 data_cost: 1.2312 ips: 23.4149 images/s [10/18 23:35:30] ppdet.engine INFO: Epoch: [285] [ 20/229] learning_rate: 0.002434 loss_vfl: 0.697907 loss_bbox: 0.286137 loss_dfl: 0.192241 loss: 1.174701 eta: 2:05:28 batch_cost: 2.2183 data_cost: 0.0045 ips: 28.8503 images/s [10/18 23:36:17] ppdet.engine INFO: Epoch: [285] [ 40/229] learning_rate: 0.002405 loss_vfl: 0.712891 loss_bbox: 0.281854 loss_dfl: 0.183182 loss: 1.183821 eta: 2:04:44 batch_cost: 2.2088 data_cost: 0.0046 ips: 28.9753 images/s [10/18 23:37:05] ppdet.engine INFO: Epoch: [285] [ 60/229] learning_rate: 0.002377 loss_vfl: 0.713345 loss_bbox: 0.294030 loss_dfl: 0.191357 loss: 1.208521 eta: 2:04:00 batch_cost: 2.1482 data_cost: 0.0069 ips: 29.7919 images/s [10/18 23:37:52] ppdet.engine INFO: Epoch: [285] [ 80/229] learning_rate: 0.002349 loss_vfl: 0.718108 loss_bbox: 0.287854 loss_dfl: 0.185670 loss: 1.191295 eta: 2:03:16 batch_cost: 2.1598 data_cost: 0.0043 ips: 29.6326 images/s [10/18 23:38:38] ppdet.engine INFO: Epoch: [285] [100/229] learning_rate: 0.002321 loss_vfl: 0.716201 loss_bbox: 0.282949 loss_dfl: 0.191016 loss: 1.197466 eta: 2:02:32 batch_cost: 2.0971 data_cost: 0.0037 ips: 30.5182 images/s [10/18 23:39:26] ppdet.engine INFO: Epoch: [285] [120/229] learning_rate: 0.002294 loss_vfl: 0.722366 loss_bbox: 0.280003 loss_dfl: 0.189229 loss: 1.191724 eta: 2:01:48 batch_cost: 2.2040 data_cost: 0.0047 ips: 29.0381 images/s [10/18 23:40:13] ppdet.engine INFO: Epoch: [285] [140/229] learning_rate: 0.002266 loss_vfl: 0.720788 loss_bbox: 0.279435 loss_dfl: 0.182741 loss: 1.189037 eta: 2:01:03 batch_cost: 2.1707 data_cost: 0.0053 ips: 29.4833 images/s [10/18 23:41:00] ppdet.engine INFO: Epoch: [285] [160/229] learning_rate: 0.002239 loss_vfl: 0.721008 loss_bbox: 0.268746 loss_dfl: 0.186179 loss: 1.162926 eta: 2:00:19 batch_cost: 2.2136 data_cost: 0.0066 ips: 28.9120 images/s [10/18 23:41:48] ppdet.engine INFO: Epoch: [285] [180/229] learning_rate: 0.002211 loss_vfl: 0.731829 loss_bbox: 0.277549 loss_dfl: 0.182848 loss: 1.190760 eta: 1:59:35 batch_cost: 2.1669 data_cost: 0.0069 ips: 29.5357 images/s [10/18 23:42:33] ppdet.engine INFO: Epoch: [285] [200/229] learning_rate: 0.002184 loss_vfl: 0.717273 loss_bbox: 0.270018 loss_dfl: 0.193399 loss: 1.186685 eta: 1:58:51 batch_cost: 2.0932 data_cost: 0.0044 ips: 30.5754 images/s [10/18 23:43:12] ppdet.engine INFO: Epoch: [285] [220/229] learning_rate: 0.002158 loss_vfl: 0.707318 loss_bbox: 0.282467 loss_dfl: 0.184357 loss: 1.175669 eta: 1:58:06 batch_cost: 1.7870 data_cost: 0.0028 ips: 35.8150 images/s [10/18 23:43:54] ppdet.engine INFO: Epoch: [286] [ 0/229] learning_rate: 0.002146 loss_vfl: 0.702922 loss_bbox: 0.291188 loss_dfl: 0.187128 loss: 1.179245 eta: 1:57:47 batch_cost: 2.6191 data_cost: 0.7672 ips: 24.4360 images/s [10/18 23:44:42] ppdet.engine INFO: Epoch: [286] [ 20/229] learning_rate: 0.002119 loss_vfl: 0.698870 loss_bbox: 0.269004 loss_dfl: 0.185412 loss: 1.162526 eta: 1:57:03 batch_cost: 2.2113 data_cost: 0.0053 ips: 28.9417 images/s [10/18 23:45:29] ppdet.engine INFO: Epoch: [286] [ 40/229] learning_rate: 0.002092 loss_vfl: 0.719635 loss_bbox: 0.269431 loss_dfl: 0.182701 loss: 1.175892 eta: 1:56:19 batch_cost: 2.1502 data_cost: 0.0052 ips: 29.7647 images/s [10/18 23:46:16] ppdet.engine INFO: Epoch: [286] [ 60/229] learning_rate: 0.002066 loss_vfl: 0.717095 loss_bbox: 0.294866 loss_dfl: 0.191196 loss: 1.194421 eta: 1:55:35 batch_cost: 2.1325 data_cost: 0.0046 ips: 30.0117 images/s [10/18 23:47:03] ppdet.engine INFO: Epoch: [286] [ 80/229] learning_rate: 0.002040 loss_vfl: 0.701546 loss_bbox: 0.267431 loss_dfl: 0.184095 loss: 1.171576 eta: 1:54:51 batch_cost: 2.1503 data_cost: 0.0069 ips: 29.7628 images/s [10/18 23:47:50] ppdet.engine INFO: Epoch: [286] [100/229] learning_rate: 0.002014 loss_vfl: 0.706086 loss_bbox: 0.269942 loss_dfl: 0.181198 loss: 1.173060 eta: 1:54:07 batch_cost: 2.2058 data_cost: 0.0042 ips: 29.0143 images/s [10/18 23:48:37] ppdet.engine INFO: Epoch: [286] [120/229] learning_rate: 0.001988 loss_vfl: 0.709311 loss_bbox: 0.281157 loss_dfl: 0.187316 loss: 1.173890 eta: 1:53:23 batch_cost: 2.1753 data_cost: 0.0039 ips: 29.4208 images/s [10/18 23:49:23] ppdet.engine INFO: Epoch: [286] [140/229] learning_rate: 0.001963 loss_vfl: 0.737109 loss_bbox: 0.277368 loss_dfl: 0.191515 loss: 1.221137 eta: 1:52:39 batch_cost: 2.1766 data_cost: 0.0051 ips: 29.4043 images/s [10/18 23:50:11] ppdet.engine INFO: Epoch: [286] [160/229] learning_rate: 0.001937 loss_vfl: 0.701433 loss_bbox: 0.272982 loss_dfl: 0.184798 loss: 1.163477 eta: 1:51:54 batch_cost: 2.1939 data_cost: 0.0035 ips: 29.1720 images/s [10/18 23:50:57] ppdet.engine INFO: Epoch: [286] [180/229] learning_rate: 0.001912 loss_vfl: 0.723919 loss_bbox: 0.267687 loss_dfl: 0.179282 loss: 1.166146 eta: 1:51:10 batch_cost: 2.1468 data_cost: 0.0037 ips: 29.8115 images/s [10/18 23:51:44] ppdet.engine INFO: Epoch: [286] [200/229] learning_rate: 0.001887 loss_vfl: 0.705532 loss_bbox: 0.265822 loss_dfl: 0.183120 loss: 1.142401 eta: 1:50:26 batch_cost: 2.1947 data_cost: 0.0035 ips: 29.1614 images/s [10/18 23:52:21] ppdet.engine INFO: Epoch: [286] [220/229] learning_rate: 0.001862 loss_vfl: 0.707874 loss_bbox: 0.269101 loss_dfl: 0.184798 loss: 1.175129 eta: 1:49:42 batch_cost: 1.7337 data_cost: 0.0030 ips: 36.9157 images/s [10/18 23:53:06] ppdet.engine INFO: Epoch: [287] [ 0/229] learning_rate: 0.001850 loss_vfl: 0.722034 loss_bbox: 0.267377 loss_dfl: 0.184798 loss: 1.175693 eta: 1:49:23 batch_cost: 2.7383 data_cost: 1.1055 ips: 23.3722 images/s [10/18 23:53:54] ppdet.engine INFO: Epoch: [287] [ 20/229] learning_rate: 0.001826 loss_vfl: 0.725049 loss_bbox: 0.287906 loss_dfl: 0.191149 loss: 1.190239 eta: 1:48:39 batch_cost: 2.1619 data_cost: 0.0031 ips: 29.6038 images/s [10/18 23:54:41] ppdet.engine INFO: Epoch: [287] [ 40/229] learning_rate: 0.001801 loss_vfl: 0.711081 loss_bbox: 0.276832 loss_dfl: 0.184045 loss: 1.175562 eta: 1:47:54 batch_cost: 2.1232 data_cost: 0.0041 ips: 30.1437 images/s [10/18 23:55:29] ppdet.engine INFO: Epoch: [287] [ 60/229] learning_rate: 0.001777 loss_vfl: 0.718035 loss_bbox: 0.285401 loss_dfl: 0.189670 loss: 1.196645 eta: 1:47:10 batch_cost: 2.2045 data_cost: 0.0059 ips: 29.0316 images/s [10/18 23:56:16] ppdet.engine INFO: Epoch: [287] [ 80/229] learning_rate: 0.001752 loss_vfl: 0.709853 loss_bbox: 0.266053 loss_dfl: 0.180026 loss: 1.168377 eta: 1:46:26 batch_cost: 2.1834 data_cost: 0.0060 ips: 29.3124 images/s [10/18 23:57:03] ppdet.engine INFO: Epoch: [287] [100/229] learning_rate: 0.001728 loss_vfl: 0.717889 loss_bbox: 0.289317 loss_dfl: 0.192993 loss: 1.195818 eta: 1:45:42 batch_cost: 2.1449 data_cost: 0.0038 ips: 29.8389 images/s [10/18 23:57:51] ppdet.engine INFO: Epoch: [287] [120/229] learning_rate: 0.001704 loss_vfl: 0.722290 loss_bbox: 0.278106 loss_dfl: 0.183907 loss: 1.190195 eta: 1:44:58 batch_cost: 2.2004 data_cost: 0.0067 ips: 29.0852 images/s [10/18 23:58:39] ppdet.engine INFO: Epoch: [287] [140/229] learning_rate: 0.001681 loss_vfl: 0.725367 loss_bbox: 0.269679 loss_dfl: 0.177929 loss: 1.175621 eta: 1:44:14 batch_cost: 2.2114 data_cost: 0.0033 ips: 28.9406 images/s [10/18 23:59:27] ppdet.engine INFO: Epoch: [287] [160/229] learning_rate: 0.001657 loss_vfl: 0.720402 loss_bbox: 0.260827 loss_dfl: 0.176534 loss: 1.161104 eta: 1:43:30 batch_cost: 2.2227 data_cost: 0.0041 ips: 28.7939 images/s [10/19 00:00:14] ppdet.engine INFO: Epoch: [287] [180/229] learning_rate: 0.001634 loss_vfl: 0.715205 loss_bbox: 0.278389 loss_dfl: 0.182011 loss: 1.193197 eta: 1:42:46 batch_cost: 2.1379 data_cost: 0.0042 ips: 29.9354 images/s [10/19 00:01:00] ppdet.engine INFO: Epoch: [287] [200/229] learning_rate: 0.001610 loss_vfl: 0.712666 loss_bbox: 0.292830 loss_dfl: 0.186118 loss: 1.209734 eta: 1:42:02 batch_cost: 2.0998 data_cost: 0.0049 ips: 30.4795 images/s [10/19 00:01:38] ppdet.engine INFO: Epoch: [287] [220/229] learning_rate: 0.001587 loss_vfl: 0.710563 loss_bbox: 0.273432 loss_dfl: 0.188789 loss: 1.173940 eta: 1:41:17 batch_cost: 1.7580 data_cost: 0.0018 ips: 36.4053 images/s [10/19 00:02:24] ppdet.engine INFO: Epoch: [288] [ 0/229] learning_rate: 0.001577 loss_vfl: 0.718565 loss_bbox: 0.277008 loss_dfl: 0.191690 loss: 1.180160 eta: 1:40:58 batch_cost: 2.7789 data_cost: 0.9329 ips: 23.0306 images/s [10/19 00:03:10] ppdet.engine INFO: Epoch: [288] [ 20/229] learning_rate: 0.001554 loss_vfl: 0.720659 loss_bbox: 0.270045 loss_dfl: 0.183452 loss: 1.171883 eta: 1:40:14 batch_cost: 2.1302 data_cost: 0.0044 ips: 30.0446 images/s [10/19 00:03:58] ppdet.engine INFO: Epoch: [288] [ 40/229] learning_rate: 0.001532 loss_vfl: 0.728510 loss_bbox: 0.280098 loss_dfl: 0.192449 loss: 1.206788 eta: 1:39:30 batch_cost: 2.2262 data_cost: 0.0042 ips: 28.7489 images/s [10/19 00:04:45] ppdet.engine INFO: Epoch: [288] [ 60/229] learning_rate: 0.001509 loss_vfl: 0.694355 loss_bbox: 0.280318 loss_dfl: 0.190610 loss: 1.182147 eta: 1:38:46 batch_cost: 2.1751 data_cost: 0.0026 ips: 29.4233 images/s [10/19 00:05:32] ppdet.engine INFO: Epoch: [288] [ 80/229] learning_rate: 0.001487 loss_vfl: 0.692995 loss_bbox: 0.270725 loss_dfl: 0.182989 loss: 1.152437 eta: 1:38:02 batch_cost: 2.1272 data_cost: 0.0028 ips: 30.0870 images/s [10/19 00:06:20] ppdet.engine INFO: Epoch: [288] [100/229] learning_rate: 0.001465 loss_vfl: 0.704797 loss_bbox: 0.275270 loss_dfl: 0.183602 loss: 1.163365 eta: 1:37:17 batch_cost: 2.1559 data_cost: 0.0024 ips: 29.6864 images/s [10/19 00:07:06] ppdet.engine INFO: Epoch: [288] [120/229] learning_rate: 0.001442 loss_vfl: 0.723592 loss_bbox: 0.278180 loss_dfl: 0.193930 loss: 1.203874 eta: 1:36:33 batch_cost: 2.1726 data_cost: 0.0018 ips: 29.4581 images/s [10/19 00:07:54] ppdet.engine INFO: Epoch: [288] [140/229] learning_rate: 0.001421 loss_vfl: 0.714167 loss_bbox: 0.284931 loss_dfl: 0.187347 loss: 1.185052 eta: 1:35:49 batch_cost: 2.2260 data_cost: 0.0026 ips: 28.7515 images/s [10/19 00:08:42] ppdet.engine INFO: Epoch: [288] [160/229] learning_rate: 0.001399 loss_vfl: 0.693637 loss_bbox: 0.296364 loss_dfl: 0.191638 loss: 1.174759 eta: 1:35:05 batch_cost: 2.1868 data_cost: 0.0051 ips: 29.2662 images/s [10/19 00:09:29] ppdet.engine INFO: Epoch: [288] [180/229] learning_rate: 0.001377 loss_vfl: 0.709167 loss_bbox: 0.274104 loss_dfl: 0.186533 loss: 1.166000 eta: 1:34:21 batch_cost: 2.2082 data_cost: 0.0036 ips: 28.9831 images/s [10/19 00:10:16] ppdet.engine INFO: Epoch: [288] [200/229] learning_rate: 0.001356 loss_vfl: 0.707270 loss_bbox: 0.264901 loss_dfl: 0.179767 loss: 1.152403 eta: 1:33:37 batch_cost: 2.1408 data_cost: 0.0037 ips: 29.8957 images/s [10/19 00:10:54] ppdet.engine INFO: Epoch: [288] [220/229] learning_rate: 0.001335 loss_vfl: 0.698556 loss_bbox: 0.269303 loss_dfl: 0.177239 loss: 1.153616 eta: 1:32:52 batch_cost: 1.7805 data_cost: 0.0037 ips: 35.9441 images/s [10/19 00:11:38] ppdet.engine INFO: Epoch: [289] [ 0/229] learning_rate: 0.001325 loss_vfl: 0.703537 loss_bbox: 0.253001 loss_dfl: 0.174320 loss: 1.133365 eta: 1:32:33 batch_cost: 2.7253 data_cost: 1.0030 ips: 23.4839 images/s [10/19 00:12:25] ppdet.engine INFO: Epoch: [289] [ 20/229] learning_rate: 0.001305 loss_vfl: 0.720321 loss_bbox: 0.267225 loss_dfl: 0.187883 loss: 1.172292 eta: 1:31:49 batch_cost: 2.1672 data_cost: 0.0018 ips: 29.5310 images/s [10/19 00:13:13] ppdet.engine INFO: Epoch: [289] [ 40/229] learning_rate: 0.001284 loss_vfl: 0.715433 loss_bbox: 0.274312 loss_dfl: 0.183722 loss: 1.169882 eta: 1:31:05 batch_cost: 2.2354 data_cost: 0.0018 ips: 28.6304 images/s [10/19 00:13:59] ppdet.engine INFO: Epoch: [289] [ 60/229] learning_rate: 0.001263 loss_vfl: 0.708937 loss_bbox: 0.268919 loss_dfl: 0.185802 loss: 1.160100 eta: 1:30:21 batch_cost: 2.0838 data_cost: 0.0095 ips: 30.7126 images/s [10/19 00:14:47] ppdet.engine INFO: Epoch: [289] [ 80/229] learning_rate: 0.001243 loss_vfl: 0.714327 loss_bbox: 0.279454 loss_dfl: 0.189425 loss: 1.192334 eta: 1:29:37 batch_cost: 2.2309 data_cost: 0.0071 ips: 28.6877 images/s [10/19 00:15:34] ppdet.engine INFO: Epoch: [289] [100/229] learning_rate: 0.001222 loss_vfl: 0.719775 loss_bbox: 0.271141 loss_dfl: 0.188411 loss: 1.181570 eta: 1:28:53 batch_cost: 2.1704 data_cost: 0.0023 ips: 29.4877 images/s [10/19 00:16:21] ppdet.engine INFO: Epoch: [289] [120/229] learning_rate: 0.001202 loss_vfl: 0.714927 loss_bbox: 0.265736 loss_dfl: 0.183507 loss: 1.168441 eta: 1:28:09 batch_cost: 2.1318 data_cost: 0.0033 ips: 30.0222 images/s [10/19 00:17:09] ppdet.engine INFO: Epoch: [289] [140/229] learning_rate: 0.001182 loss_vfl: 0.728727 loss_bbox: 0.289820 loss_dfl: 0.191858 loss: 1.188499 eta: 1:27:25 batch_cost: 2.2125 data_cost: 0.0021 ips: 28.9265 images/s [10/19 00:17:56] ppdet.engine INFO: Epoch: [289] [160/229] learning_rate: 0.001163 loss_vfl: 0.722710 loss_bbox: 0.271233 loss_dfl: 0.180007 loss: 1.174026 eta: 1:26:40 batch_cost: 2.1905 data_cost: 0.0064 ips: 29.2173 images/s [10/19 00:18:43] ppdet.engine INFO: Epoch: [289] [180/229] learning_rate: 0.001143 loss_vfl: 0.727105 loss_bbox: 0.298705 loss_dfl: 0.193227 loss: 1.211429 eta: 1:25:56 batch_cost: 2.1550 data_cost: 0.0031 ips: 29.6977 images/s [10/19 00:19:30] ppdet.engine INFO: Epoch: [289] [200/229] learning_rate: 0.001124 loss_vfl: 0.720530 loss_bbox: 0.278227 loss_dfl: 0.183561 loss: 1.188276 eta: 1:25:12 batch_cost: 2.1383 data_cost: 0.0044 ips: 29.9310 images/s [10/19 00:20:09] ppdet.engine INFO: Epoch: [289] [220/229] learning_rate: 0.001104 loss_vfl: 0.727097 loss_bbox: 0.259217 loss_dfl: 0.181665 loss: 1.165603 eta: 1:24:28 batch_cost: 1.7914 data_cost: 0.0041 ips: 35.7271 images/s [10/19 00:20:23] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/19 00:20:24] ppdet.engine INFO: Eval iter: 0 [10/19 00:21:04] ppdet.engine INFO: Eval iter: 100 [10/19 00:21:18] ppdet.engine INFO: Eval iter: 200 [10/19 00:21:32] ppdet.engine INFO: Eval iter: 300 [10/19 00:21:46] ppdet.engine INFO: Eval iter: 400 [10/19 00:22:00] ppdet.engine INFO: Eval iter: 500 [10/19 00:22:14] ppdet.engine INFO: Eval iter: 600 [10/19 00:22:26] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=1.03s) creating index... index created! [10/19 00:22:27] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.08s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=61.33s). Accumulating evaluation results... DONE (t=11.39s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.457 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.324 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 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.427 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 ] = 0.162 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.718 [10/19 00:23:47] ppdet.engine INFO: Total sample number: 5000, averge FPS: 42.934674263935854 [10/19 00:23:47] ppdet.engine INFO: Best test bbox ap is 0.309. [10/19 00:23:48] ppdet.engine INFO: Epoch: [290] [ 0/229] learning_rate: 0.001096 loss_vfl: 0.723907 loss_bbox: 0.274793 loss_dfl: 0.187007 loss: 1.192144 eta: 1:24:08 batch_cost: 1.2970 data_cost: 0.0014 ips: 49.3429 images/s [10/19 00:24:36] ppdet.engine INFO: Epoch: [290] [ 20/229] learning_rate: 0.001077 loss_vfl: 0.715173 loss_bbox: 0.291528 loss_dfl: 0.194333 loss: 1.211927 eta: 1:23:24 batch_cost: 2.2224 data_cost: 0.0050 ips: 28.7982 images/s [10/19 00:25:23] ppdet.engine INFO: Epoch: [290] [ 40/229] learning_rate: 0.001058 loss_vfl: 0.708259 loss_bbox: 0.280770 loss_dfl: 0.180348 loss: 1.169216 eta: 1:22:39 batch_cost: 2.2030 data_cost: 0.0037 ips: 29.0506 images/s [10/19 00:26:10] ppdet.engine INFO: Epoch: [290] [ 60/229] learning_rate: 0.001039 loss_vfl: 0.699804 loss_bbox: 0.272978 loss_dfl: 0.180150 loss: 1.155189 eta: 1:21:55 batch_cost: 2.1876 data_cost: 0.0077 ips: 29.2561 images/s [10/19 00:26:58] ppdet.engine INFO: Epoch: [290] [ 80/229] learning_rate: 0.001020 loss_vfl: 0.717644 loss_bbox: 0.291557 loss_dfl: 0.194389 loss: 1.194012 eta: 1:21:11 batch_cost: 2.1550 data_cost: 0.0039 ips: 29.6986 images/s [10/19 00:27:46] ppdet.engine INFO: Epoch: [290] [100/229] learning_rate: 0.001002 loss_vfl: 0.715515 loss_bbox: 0.282709 loss_dfl: 0.187036 loss: 1.185462 eta: 1:20:27 batch_cost: 2.2144 data_cost: 0.0039 ips: 28.9023 images/s [10/19 00:28:33] ppdet.engine INFO: Epoch: [290] [120/229] learning_rate: 0.000984 loss_vfl: 0.711909 loss_bbox: 0.299636 loss_dfl: 0.184751 loss: 1.201731 eta: 1:19:43 batch_cost: 2.1487 data_cost: 0.0029 ips: 29.7856 images/s [10/19 00:29:21] ppdet.engine INFO: Epoch: [290] [140/229] learning_rate: 0.000966 loss_vfl: 0.723687 loss_bbox: 0.271336 loss_dfl: 0.179688 loss: 1.166487 eta: 1:18:59 batch_cost: 2.1875 data_cost: 0.0063 ips: 29.2573 images/s [10/19 00:30:08] ppdet.engine INFO: Epoch: [290] [160/229] learning_rate: 0.000948 loss_vfl: 0.719003 loss_bbox: 0.302101 loss_dfl: 0.194873 loss: 1.219143 eta: 1:18:15 batch_cost: 2.1164 data_cost: 0.0022 ips: 30.2399 images/s [10/19 00:30:54] ppdet.engine INFO: Epoch: [290] [180/229] learning_rate: 0.000930 loss_vfl: 0.724510 loss_bbox: 0.266940 loss_dfl: 0.180858 loss: 1.181636 eta: 1:17:31 batch_cost: 2.1799 data_cost: 0.0027 ips: 29.3587 images/s [10/19 00:31:42] ppdet.engine INFO: Epoch: [290] [200/229] learning_rate: 0.000913 loss_vfl: 0.724281 loss_bbox: 0.262632 loss_dfl: 0.186068 loss: 1.172391 eta: 1:16:47 batch_cost: 2.2162 data_cost: 0.0120 ips: 28.8780 images/s [10/19 00:32:20] ppdet.engine INFO: Epoch: [290] [220/229] learning_rate: 0.000895 loss_vfl: 0.711055 loss_bbox: 0.276721 loss_dfl: 0.189741 loss: 1.189620 eta: 1:16:02 batch_cost: 1.7440 data_cost: 0.0031 ips: 36.6968 images/s [10/19 00:33:04] ppdet.engine INFO: Epoch: [291] [ 0/229] learning_rate: 0.000888 loss_vfl: 0.713186 loss_bbox: 0.279595 loss_dfl: 0.193473 loss: 1.203940 eta: 1:15:43 batch_cost: 2.7007 data_cost: 0.8777 ips: 23.6974 images/s [10/19 00:33:52] ppdet.engine INFO: Epoch: [291] [ 20/229] learning_rate: 0.000870 loss_vfl: 0.710976 loss_bbox: 0.269634 loss_dfl: 0.181774 loss: 1.173432 eta: 1:14:59 batch_cost: 2.1872 data_cost: 0.0101 ips: 29.2608 images/s [10/19 00:34:39] ppdet.engine INFO: Epoch: [291] [ 40/229] learning_rate: 0.000854 loss_vfl: 0.709763 loss_bbox: 0.286386 loss_dfl: 0.185817 loss: 1.188352 eta: 1:14:15 batch_cost: 2.2077 data_cost: 0.0046 ips: 28.9890 images/s [10/19 00:35:27] ppdet.engine INFO: Epoch: [291] [ 60/229] learning_rate: 0.000837 loss_vfl: 0.737840 loss_bbox: 0.268060 loss_dfl: 0.173051 loss: 1.178734 eta: 1:13:31 batch_cost: 2.1288 data_cost: 0.0033 ips: 30.0634 images/s [10/19 00:36:14] ppdet.engine INFO: Epoch: [291] [ 80/229] learning_rate: 0.000820 loss_vfl: 0.715819 loss_bbox: 0.268744 loss_dfl: 0.179849 loss: 1.190292 eta: 1:12:47 batch_cost: 2.1839 data_cost: 0.0028 ips: 29.3058 images/s [10/19 00:37:02] ppdet.engine INFO: Epoch: [291] [100/229] learning_rate: 0.000804 loss_vfl: 0.708140 loss_bbox: 0.275477 loss_dfl: 0.185076 loss: 1.158709 eta: 1:12:02 batch_cost: 2.2230 data_cost: 0.0063 ips: 28.7903 images/s [10/19 00:37:49] ppdet.engine INFO: Epoch: [291] [120/229] learning_rate: 0.000787 loss_vfl: 0.710992 loss_bbox: 0.286804 loss_dfl: 0.187135 loss: 1.179817 eta: 1:11:18 batch_cost: 2.2040 data_cost: 0.0078 ips: 29.0379 images/s [10/19 00:38:36] ppdet.engine INFO: Epoch: [291] [140/229] learning_rate: 0.000771 loss_vfl: 0.726523 loss_bbox: 0.264020 loss_dfl: 0.182553 loss: 1.180674 eta: 1:10:34 batch_cost: 2.1826 data_cost: 0.0038 ips: 29.3232 images/s [10/19 00:39:24] ppdet.engine INFO: Epoch: [291] [160/229] learning_rate: 0.000755 loss_vfl: 0.708817 loss_bbox: 0.263521 loss_dfl: 0.187323 loss: 1.155604 eta: 1:09:50 batch_cost: 2.2545 data_cost: 0.0052 ips: 28.3877 images/s [10/19 00:40:11] ppdet.engine INFO: Epoch: [291] [180/229] learning_rate: 0.000739 loss_vfl: 0.712292 loss_bbox: 0.269298 loss_dfl: 0.185914 loss: 1.177692 eta: 1:09:06 batch_cost: 2.2048 data_cost: 0.0020 ips: 29.0278 images/s [10/19 00:40:57] ppdet.engine INFO: Epoch: [291] [200/229] learning_rate: 0.000724 loss_vfl: 0.718655 loss_bbox: 0.282408 loss_dfl: 0.189329 loss: 1.187100 eta: 1:08:22 batch_cost: 2.0907 data_cost: 0.0022 ips: 30.6117 images/s [10/19 00:41:35] ppdet.engine INFO: Epoch: [291] [220/229] learning_rate: 0.000708 loss_vfl: 0.719323 loss_bbox: 0.276504 loss_dfl: 0.184865 loss: 1.189353 eta: 1:07:38 batch_cost: 1.7355 data_cost: 0.0032 ips: 36.8778 images/s [10/19 00:42:17] ppdet.engine INFO: Epoch: [292] [ 0/229] learning_rate: 0.000701 loss_vfl: 0.714353 loss_bbox: 0.276603 loss_dfl: 0.178699 loss: 1.170489 eta: 1:07:18 batch_cost: 2.6086 data_cost: 0.6887 ips: 24.5338 images/s [10/19 00:43:06] ppdet.engine INFO: Epoch: [292] [ 20/229] learning_rate: 0.000686 loss_vfl: 0.727277 loss_bbox: 0.279059 loss_dfl: 0.193588 loss: 1.208374 eta: 1:06:34 batch_cost: 2.2858 data_cost: 0.0023 ips: 27.9988 images/s [10/19 00:43:54] ppdet.engine INFO: Epoch: [292] [ 40/229] learning_rate: 0.000671 loss_vfl: 0.732043 loss_bbox: 0.287593 loss_dfl: 0.191476 loss: 1.211136 eta: 1:05:50 batch_cost: 2.2097 data_cost: 0.0044 ips: 28.9635 images/s [10/19 00:44:42] ppdet.engine INFO: Epoch: [292] [ 60/229] learning_rate: 0.000656 loss_vfl: 0.708588 loss_bbox: 0.295515 loss_dfl: 0.192430 loss: 1.191404 eta: 1:05:06 batch_cost: 2.2101 data_cost: 0.0029 ips: 28.9581 images/s [10/19 00:45:30] ppdet.engine INFO: Epoch: [292] [ 80/229] learning_rate: 0.000642 loss_vfl: 0.709038 loss_bbox: 0.284368 loss_dfl: 0.189923 loss: 1.175865 eta: 1:04:22 batch_cost: 2.2145 data_cost: 0.0054 ips: 28.9006 images/s [10/19 00:46:17] ppdet.engine INFO: Epoch: [292] [100/229] learning_rate: 0.000627 loss_vfl: 0.721730 loss_bbox: 0.289992 loss_dfl: 0.199063 loss: 1.213360 eta: 1:03:38 batch_cost: 2.1970 data_cost: 0.0124 ips: 29.1310 images/s [10/19 00:47:05] ppdet.engine INFO: Epoch: [292] [120/229] learning_rate: 0.000613 loss_vfl: 0.702462 loss_bbox: 0.272436 loss_dfl: 0.178078 loss: 1.163921 eta: 1:02:54 batch_cost: 2.2054 data_cost: 0.0038 ips: 29.0195 images/s [10/19 00:47:53] ppdet.engine INFO: Epoch: [292] [140/229] learning_rate: 0.000598 loss_vfl: 0.704853 loss_bbox: 0.286341 loss_dfl: 0.189526 loss: 1.187007 eta: 1:02:10 batch_cost: 2.2337 data_cost: 0.0023 ips: 28.6516 images/s [10/19 00:48:41] ppdet.engine INFO: Epoch: [292] [160/229] learning_rate: 0.000584 loss_vfl: 0.712366 loss_bbox: 0.275992 loss_dfl: 0.178342 loss: 1.191447 eta: 1:01:26 batch_cost: 2.2380 data_cost: 0.0035 ips: 28.5968 images/s [10/19 00:49:27] ppdet.engine INFO: Epoch: [292] [180/229] learning_rate: 0.000570 loss_vfl: 0.734482 loss_bbox: 0.265634 loss_dfl: 0.181170 loss: 1.176265 eta: 1:00:41 batch_cost: 2.1302 data_cost: 0.0037 ips: 30.0444 images/s [10/19 00:50:13] ppdet.engine INFO: Epoch: [292] [200/229] learning_rate: 0.000557 loss_vfl: 0.711475 loss_bbox: 0.285536 loss_dfl: 0.190519 loss: 1.205601 eta: 0:59:57 batch_cost: 2.1506 data_cost: 0.0020 ips: 29.7594 images/s [10/19 00:50:51] ppdet.engine INFO: Epoch: [292] [220/229] learning_rate: 0.000543 loss_vfl: 0.720164 loss_bbox: 0.265090 loss_dfl: 0.177955 loss: 1.168293 eta: 0:59:13 batch_cost: 1.7624 data_cost: 0.0019 ips: 36.3144 images/s [10/19 00:51:36] ppdet.engine INFO: Epoch: [293] [ 0/229] learning_rate: 0.000537 loss_vfl: 0.697348 loss_bbox: 0.272582 loss_dfl: 0.182262 loss: 1.158279 eta: 0:58:54 batch_cost: 2.7409 data_cost: 1.1962 ips: 23.3501 images/s [10/19 00:52:23] ppdet.engine INFO: Epoch: [293] [ 20/229] learning_rate: 0.000524 loss_vfl: 0.720523 loss_bbox: 0.273365 loss_dfl: 0.182742 loss: 1.198226 eta: 0:58:10 batch_cost: 2.1228 data_cost: 0.0067 ips: 30.1486 images/s [10/19 00:53:11] ppdet.engine INFO: Epoch: [293] [ 40/229] learning_rate: 0.000511 loss_vfl: 0.712988 loss_bbox: 0.285102 loss_dfl: 0.192945 loss: 1.183735 eta: 0:57:25 batch_cost: 2.0879 data_cost: 0.0045 ips: 30.6529 images/s [10/19 00:53:58] ppdet.engine INFO: Epoch: [293] [ 60/229] learning_rate: 0.000498 loss_vfl: 0.721824 loss_bbox: 0.277230 loss_dfl: 0.180625 loss: 1.170655 eta: 0:56:41 batch_cost: 2.1500 data_cost: 0.0052 ips: 29.7671 images/s [10/19 00:54:45] ppdet.engine INFO: Epoch: [293] [ 80/229] learning_rate: 0.000485 loss_vfl: 0.718536 loss_bbox: 0.270162 loss_dfl: 0.182139 loss: 1.171510 eta: 0:55:57 batch_cost: 2.2243 data_cost: 0.0045 ips: 28.7733 images/s [10/19 00:55:32] ppdet.engine INFO: Epoch: [293] [100/229] learning_rate: 0.000472 loss_vfl: 0.700403 loss_bbox: 0.278380 loss_dfl: 0.186375 loss: 1.185728 eta: 0:55:13 batch_cost: 2.1929 data_cost: 0.0028 ips: 29.1857 images/s [10/19 00:56:19] ppdet.engine INFO: Epoch: [293] [120/229] learning_rate: 0.000460 loss_vfl: 0.710853 loss_bbox: 0.262426 loss_dfl: 0.184087 loss: 1.148028 eta: 0:54:29 batch_cost: 2.1830 data_cost: 0.0096 ips: 29.3168 images/s [10/19 00:57:07] ppdet.engine INFO: Epoch: [293] [140/229] learning_rate: 0.000447 loss_vfl: 0.709959 loss_bbox: 0.265518 loss_dfl: 0.175672 loss: 1.150216 eta: 0:53:45 batch_cost: 2.2176 data_cost: 0.0025 ips: 28.8599 images/s [10/19 00:57:55] ppdet.engine INFO: Epoch: [293] [160/229] learning_rate: 0.000435 loss_vfl: 0.702630 loss_bbox: 0.287021 loss_dfl: 0.183778 loss: 1.160056 eta: 0:53:01 batch_cost: 2.2489 data_cost: 0.0058 ips: 28.4587 images/s [10/19 00:58:42] ppdet.engine INFO: Epoch: [293] [180/229] learning_rate: 0.000423 loss_vfl: 0.708656 loss_bbox: 0.252971 loss_dfl: 0.177545 loss: 1.178268 eta: 0:52:17 batch_cost: 2.1914 data_cost: 0.0049 ips: 29.2046 images/s [10/19 00:59:29] ppdet.engine INFO: Epoch: [293] [200/229] learning_rate: 0.000411 loss_vfl: 0.706336 loss_bbox: 0.248758 loss_dfl: 0.174082 loss: 1.135062 eta: 0:51:33 batch_cost: 2.2039 data_cost: 0.0039 ips: 29.0393 images/s [10/19 01:00:07] ppdet.engine INFO: Epoch: [293] [220/229] learning_rate: 0.000400 loss_vfl: 0.715365 loss_bbox: 0.272607 loss_dfl: 0.184225 loss: 1.150228 eta: 0:50:48 batch_cost: 1.7546 data_cost: 0.0024 ips: 36.4746 images/s [10/19 01:00:50] ppdet.engine INFO: Epoch: [294] [ 0/229] learning_rate: 0.000395 loss_vfl: 0.710552 loss_bbox: 0.260409 loss_dfl: 0.179298 loss: 1.142769 eta: 0:50:29 batch_cost: 2.6489 data_cost: 0.9742 ips: 24.1606 images/s [10/19 01:01:38] ppdet.engine INFO: Epoch: [294] [ 20/229] learning_rate: 0.000383 loss_vfl: 0.721412 loss_bbox: 0.278872 loss_dfl: 0.183176 loss: 1.185268 eta: 0:49:45 batch_cost: 2.2287 data_cost: 0.0043 ips: 28.7168 images/s [10/19 01:02:25] ppdet.engine INFO: Epoch: [294] [ 40/229] learning_rate: 0.000372 loss_vfl: 0.705025 loss_bbox: 0.304151 loss_dfl: 0.188422 loss: 1.166609 eta: 0:49:01 batch_cost: 2.1955 data_cost: 0.0020 ips: 29.1511 images/s [10/19 01:03:13] ppdet.engine INFO: Epoch: [294] [ 60/229] learning_rate: 0.000361 loss_vfl: 0.715018 loss_bbox: 0.262058 loss_dfl: 0.179302 loss: 1.155795 eta: 0:48:17 batch_cost: 2.2180 data_cost: 0.0028 ips: 28.8547 images/s [10/19 01:04:00] ppdet.engine INFO: Epoch: [294] [ 80/229] learning_rate: 0.000350 loss_vfl: 0.703977 loss_bbox: 0.275413 loss_dfl: 0.188028 loss: 1.192895 eta: 0:47:32 batch_cost: 2.1625 data_cost: 0.0047 ips: 29.5959 images/s [10/19 01:04:48] ppdet.engine INFO: Epoch: [294] [100/229] learning_rate: 0.000339 loss_vfl: 0.711874 loss_bbox: 0.285112 loss_dfl: 0.185767 loss: 1.174314 eta: 0:46:48 batch_cost: 2.1795 data_cost: 0.0045 ips: 29.3648 images/s [10/19 01:05:33] ppdet.engine INFO: Epoch: [294] [120/229] learning_rate: 0.000329 loss_vfl: 0.707305 loss_bbox: 0.279775 loss_dfl: 0.195159 loss: 1.178834 eta: 0:46:04 batch_cost: 2.1216 data_cost: 0.0039 ips: 30.1662 images/s [10/19 01:06:20] ppdet.engine INFO: Epoch: [294] [140/229] learning_rate: 0.000318 loss_vfl: 0.705877 loss_bbox: 0.263852 loss_dfl: 0.183685 loss: 1.150724 eta: 0:45:20 batch_cost: 2.1529 data_cost: 0.0022 ips: 29.7277 images/s [10/19 01:07:07] ppdet.engine INFO: Epoch: [294] [160/229] learning_rate: 0.000308 loss_vfl: 0.715346 loss_bbox: 0.278428 loss_dfl: 0.186440 loss: 1.167961 eta: 0:44:36 batch_cost: 2.2180 data_cost: 0.0031 ips: 28.8544 images/s [10/19 01:07:53] ppdet.engine INFO: Epoch: [294] [180/229] learning_rate: 0.000298 loss_vfl: 0.715590 loss_bbox: 0.264537 loss_dfl: 0.174877 loss: 1.144211 eta: 0:43:52 batch_cost: 2.1287 data_cost: 0.0017 ips: 30.0653 images/s [10/19 01:08:41] ppdet.engine INFO: Epoch: [294] [200/229] learning_rate: 0.000288 loss_vfl: 0.712607 loss_bbox: 0.284218 loss_dfl: 0.185663 loss: 1.158652 eta: 0:43:08 batch_cost: 2.1616 data_cost: 0.0057 ips: 29.6075 images/s [10/19 01:09:18] ppdet.engine INFO: Epoch: [294] [220/229] learning_rate: 0.000278 loss_vfl: 0.709237 loss_bbox: 0.281095 loss_dfl: 0.192483 loss: 1.188456 eta: 0:42:24 batch_cost: 1.7487 data_cost: 0.0016 ips: 36.5986 images/s [10/19 01:10:01] ppdet.engine INFO: Epoch: [295] [ 0/229] learning_rate: 0.000274 loss_vfl: 0.707685 loss_bbox: 0.290308 loss_dfl: 0.192483 loss: 1.186407 eta: 0:42:04 batch_cost: 2.6573 data_cost: 1.0309 ips: 24.0850 images/s [10/19 01:10:49] ppdet.engine INFO: Epoch: [295] [ 20/229] learning_rate: 0.000265 loss_vfl: 0.698851 loss_bbox: 0.279792 loss_dfl: 0.189757 loss: 1.172762 eta: 0:41:20 batch_cost: 2.2164 data_cost: 0.0032 ips: 28.8758 images/s [10/19 01:11:38] ppdet.engine INFO: Epoch: [295] [ 40/229] learning_rate: 0.000255 loss_vfl: 0.710733 loss_bbox: 0.272820 loss_dfl: 0.186682 loss: 1.167306 eta: 0:40:36 batch_cost: 2.2958 data_cost: 0.0027 ips: 27.8774 images/s [10/19 01:12:26] ppdet.engine INFO: Epoch: [295] [ 60/229] learning_rate: 0.000246 loss_vfl: 0.697413 loss_bbox: 0.265343 loss_dfl: 0.177271 loss: 1.155410 eta: 0:39:52 batch_cost: 2.2266 data_cost: 0.0046 ips: 28.7430 images/s [10/19 01:13:13] ppdet.engine INFO: Epoch: [295] [ 80/229] learning_rate: 0.000237 loss_vfl: 0.705050 loss_bbox: 0.278544 loss_dfl: 0.190654 loss: 1.191454 eta: 0:39:08 batch_cost: 2.2367 data_cost: 0.0102 ips: 28.6136 images/s [10/19 01:14:01] ppdet.engine INFO: Epoch: [295] [100/229] learning_rate: 0.000228 loss_vfl: 0.703216 loss_bbox: 0.287820 loss_dfl: 0.192923 loss: 1.194016 eta: 0:38:24 batch_cost: 2.1949 data_cost: 0.0048 ips: 29.1584 images/s [10/19 01:14:48] ppdet.engine INFO: Epoch: [295] [120/229] learning_rate: 0.000220 loss_vfl: 0.712804 loss_bbox: 0.279585 loss_dfl: 0.183177 loss: 1.165932 eta: 0:37:39 batch_cost: 2.1408 data_cost: 0.0042 ips: 29.8960 images/s [10/19 01:15:35] ppdet.engine INFO: Epoch: [295] [140/229] learning_rate: 0.000211 loss_vfl: 0.699482 loss_bbox: 0.281584 loss_dfl: 0.193699 loss: 1.185943 eta: 0:36:55 batch_cost: 2.1706 data_cost: 0.0121 ips: 29.4845 images/s [10/19 01:16:22] ppdet.engine INFO: Epoch: [295] [160/229] learning_rate: 0.000203 loss_vfl: 0.705754 loss_bbox: 0.276677 loss_dfl: 0.180356 loss: 1.181765 eta: 0:36:11 batch_cost: 2.1680 data_cost: 0.0091 ips: 29.5208 images/s [10/19 01:17:09] ppdet.engine INFO: Epoch: [295] [180/229] learning_rate: 0.000195 loss_vfl: 0.727588 loss_bbox: 0.279117 loss_dfl: 0.180793 loss: 1.191504 eta: 0:35:27 batch_cost: 2.1305 data_cost: 0.0045 ips: 30.0403 images/s [10/19 01:17:55] ppdet.engine INFO: Epoch: [295] [200/229] learning_rate: 0.000187 loss_vfl: 0.724231 loss_bbox: 0.282223 loss_dfl: 0.188515 loss: 1.197387 eta: 0:34:43 batch_cost: 2.1052 data_cost: 0.0036 ips: 30.4011 images/s [10/19 01:18:32] ppdet.engine INFO: Epoch: [295] [220/229] learning_rate: 0.000179 loss_vfl: 0.703631 loss_bbox: 0.269633 loss_dfl: 0.182236 loss: 1.146847 eta: 0:33:59 batch_cost: 1.7236 data_cost: 0.0016 ips: 37.1310 images/s [10/19 01:19:16] ppdet.engine INFO: Epoch: [296] [ 0/229] learning_rate: 0.000175 loss_vfl: 0.698822 loss_bbox: 0.280969 loss_dfl: 0.181374 loss: 1.158098 eta: 0:33:39 batch_cost: 2.7191 data_cost: 1.0030 ips: 23.5369 images/s [10/19 01:20:04] ppdet.engine INFO: Epoch: [296] [ 20/229] learning_rate: 0.000168 loss_vfl: 0.712028 loss_bbox: 0.281664 loss_dfl: 0.183500 loss: 1.181104 eta: 0:32:55 batch_cost: 2.1437 data_cost: 0.0048 ips: 29.8546 images/s [10/19 01:20:51] ppdet.engine INFO: Epoch: [296] [ 40/229] learning_rate: 0.000160 loss_vfl: 0.719225 loss_bbox: 0.283753 loss_dfl: 0.183954 loss: 1.193606 eta: 0:32:11 batch_cost: 2.1690 data_cost: 0.0048 ips: 29.5072 images/s [10/19 01:21:37] ppdet.engine INFO: Epoch: [296] [ 60/229] learning_rate: 0.000153 loss_vfl: 0.722386 loss_bbox: 0.264402 loss_dfl: 0.178567 loss: 1.165807 eta: 0:31:27 batch_cost: 2.1218 data_cost: 0.0034 ips: 30.1625 images/s [10/19 01:22:24] ppdet.engine INFO: Epoch: [296] [ 80/229] learning_rate: 0.000146 loss_vfl: 0.708780 loss_bbox: 0.281042 loss_dfl: 0.195037 loss: 1.173881 eta: 0:30:43 batch_cost: 2.1368 data_cost: 0.0107 ips: 29.9509 images/s [10/19 01:23:11] ppdet.engine INFO: Epoch: [296] [100/229] learning_rate: 0.000139 loss_vfl: 0.705087 loss_bbox: 0.275297 loss_dfl: 0.189119 loss: 1.193985 eta: 0:29:59 batch_cost: 2.1509 data_cost: 0.0024 ips: 29.7556 images/s [10/19 01:23:58] ppdet.engine INFO: Epoch: [296] [120/229] learning_rate: 0.000132 loss_vfl: 0.712838 loss_bbox: 0.292453 loss_dfl: 0.189275 loss: 1.206065 eta: 0:29:15 batch_cost: 2.1363 data_cost: 0.0032 ips: 29.9589 images/s [10/19 01:24:46] ppdet.engine INFO: Epoch: [296] [140/229] learning_rate: 0.000126 loss_vfl: 0.720359 loss_bbox: 0.277718 loss_dfl: 0.188464 loss: 1.191929 eta: 0:28:30 batch_cost: 2.1983 data_cost: 0.0029 ips: 29.1139 images/s [10/19 01:25:32] ppdet.engine INFO: Epoch: [296] [160/229] learning_rate: 0.000120 loss_vfl: 0.699898 loss_bbox: 0.271159 loss_dfl: 0.183908 loss: 1.143703 eta: 0:27:46 batch_cost: 2.1453 data_cost: 0.0057 ips: 29.8328 images/s [10/19 01:26:18] ppdet.engine INFO: Epoch: [296] [180/229] learning_rate: 0.000113 loss_vfl: 0.704330 loss_bbox: 0.259677 loss_dfl: 0.178410 loss: 1.155414 eta: 0:27:02 batch_cost: 2.1447 data_cost: 0.0023 ips: 29.8414 images/s [10/19 01:27:05] ppdet.engine INFO: Epoch: [296] [200/229] learning_rate: 0.000107 loss_vfl: 0.701000 loss_bbox: 0.272375 loss_dfl: 0.174299 loss: 1.149780 eta: 0:26:18 batch_cost: 2.1562 data_cost: 0.0092 ips: 29.6814 images/s [10/19 01:27:44] ppdet.engine INFO: Epoch: [296] [220/229] learning_rate: 0.000101 loss_vfl: 0.700674 loss_bbox: 0.285989 loss_dfl: 0.185868 loss: 1.191321 eta: 0:25:34 batch_cost: 1.8212 data_cost: 0.0036 ips: 35.1409 images/s [10/19 01:28:30] ppdet.engine INFO: Epoch: [297] [ 0/229] learning_rate: 0.000099 loss_vfl: 0.711766 loss_bbox: 0.280018 loss_dfl: 0.182052 loss: 1.187540 eta: 0:25:14 batch_cost: 2.8132 data_cost: 1.2157 ips: 22.7502 images/s [10/19 01:29:17] ppdet.engine INFO: Epoch: [297] [ 20/229] learning_rate: 0.000093 loss_vfl: 0.706231 loss_bbox: 0.277384 loss_dfl: 0.189834 loss: 1.170324 eta: 0:24:30 batch_cost: 2.1869 data_cost: 0.0058 ips: 29.2652 images/s [10/19 01:30:04] ppdet.engine INFO: Epoch: [297] [ 40/229] learning_rate: 0.000088 loss_vfl: 0.722155 loss_bbox: 0.280078 loss_dfl: 0.187045 loss: 1.204625 eta: 0:23:46 batch_cost: 2.1838 data_cost: 0.0032 ips: 29.3069 images/s [10/19 01:30:53] ppdet.engine INFO: Epoch: [297] [ 60/229] learning_rate: 0.000082 loss_vfl: 0.704017 loss_bbox: 0.294280 loss_dfl: 0.193225 loss: 1.193296 eta: 0:23:02 batch_cost: 2.2314 data_cost: 0.0049 ips: 28.6814 images/s [10/19 01:31:40] ppdet.engine INFO: Epoch: [297] [ 80/229] learning_rate: 0.000077 loss_vfl: 0.711062 loss_bbox: 0.289837 loss_dfl: 0.199741 loss: 1.209806 eta: 0:22:18 batch_cost: 2.2033 data_cost: 0.0038 ips: 29.0476 images/s [10/19 01:32:27] ppdet.engine INFO: Epoch: [297] [100/229] learning_rate: 0.000072 loss_vfl: 0.719258 loss_bbox: 0.262949 loss_dfl: 0.169400 loss: 1.159737 eta: 0:21:34 batch_cost: 2.1504 data_cost: 0.0030 ips: 29.7615 images/s [10/19 01:33:14] ppdet.engine INFO: Epoch: [297] [120/229] learning_rate: 0.000067 loss_vfl: 0.710271 loss_bbox: 0.266689 loss_dfl: 0.185407 loss: 1.172767 eta: 0:20:50 batch_cost: 2.1867 data_cost: 0.0046 ips: 29.2674 images/s [10/19 01:34:02] ppdet.engine INFO: Epoch: [297] [140/229] learning_rate: 0.000063 loss_vfl: 0.719558 loss_bbox: 0.287087 loss_dfl: 0.188452 loss: 1.186499 eta: 0:20:06 batch_cost: 2.1949 data_cost: 0.0053 ips: 29.1589 images/s [10/19 01:34:49] ppdet.engine INFO: Epoch: [297] [160/229] learning_rate: 0.000058 loss_vfl: 0.728466 loss_bbox: 0.290562 loss_dfl: 0.183796 loss: 1.196130 eta: 0:19:21 batch_cost: 2.1687 data_cost: 0.0025 ips: 29.5108 images/s [10/19 01:35:36] ppdet.engine INFO: Epoch: [297] [180/229] learning_rate: 0.000054 loss_vfl: 0.712864 loss_bbox: 0.279671 loss_dfl: 0.190769 loss: 1.189067 eta: 0:18:37 batch_cost: 2.1810 data_cost: 0.0026 ips: 29.3440 images/s [10/19 01:36:23] ppdet.engine INFO: Epoch: [297] [200/229] learning_rate: 0.000050 loss_vfl: 0.714055 loss_bbox: 0.252102 loss_dfl: 0.177007 loss: 1.146473 eta: 0:17:53 batch_cost: 2.1356 data_cost: 0.0045 ips: 29.9681 images/s [10/19 01:37:01] ppdet.engine INFO: Epoch: [297] [220/229] learning_rate: 0.000046 loss_vfl: 0.704126 loss_bbox: 0.282438 loss_dfl: 0.191027 loss: 1.193962 eta: 0:17:09 batch_cost: 1.7606 data_cost: 0.0019 ips: 36.3520 images/s [10/19 01:37:43] ppdet.engine INFO: Epoch: [298] [ 0/229] learning_rate: 0.000044 loss_vfl: 0.711167 loss_bbox: 0.290724 loss_dfl: 0.192412 loss: 1.188086 eta: 0:16:49 batch_cost: 2.5793 data_cost: 0.7963 ips: 24.8125 images/s [10/19 01:38:32] ppdet.engine INFO: Epoch: [298] [ 20/229] learning_rate: 0.000040 loss_vfl: 0.727635 loss_bbox: 0.278103 loss_dfl: 0.191528 loss: 1.200903 eta: 0:16:05 batch_cost: 2.2412 data_cost: 0.0115 ips: 28.5565 images/s [10/19 01:39:20] ppdet.engine INFO: Epoch: [298] [ 40/229] learning_rate: 0.000037 loss_vfl: 0.712423 loss_bbox: 0.283722 loss_dfl: 0.196581 loss: 1.174845 eta: 0:15:21 batch_cost: 2.2411 data_cost: 0.0029 ips: 28.5574 images/s [10/19 01:40:08] ppdet.engine INFO: Epoch: [298] [ 60/229] learning_rate: 0.000033 loss_vfl: 0.718422 loss_bbox: 0.281095 loss_dfl: 0.186155 loss: 1.185461 eta: 0:14:37 batch_cost: 2.1162 data_cost: 0.0055 ips: 30.2431 images/s [10/19 01:40:55] ppdet.engine INFO: Epoch: [298] [ 80/229] learning_rate: 0.000030 loss_vfl: 0.714164 loss_bbox: 0.278705 loss_dfl: 0.180893 loss: 1.160745 eta: 0:13:53 batch_cost: 2.1813 data_cost: 0.0032 ips: 29.3398 images/s [10/19 01:41:41] ppdet.engine INFO: Epoch: [298] [100/229] learning_rate: 0.000027 loss_vfl: 0.732919 loss_bbox: 0.298226 loss_dfl: 0.192180 loss: 1.209970 eta: 0:13:09 batch_cost: 2.1600 data_cost: 0.0022 ips: 29.6300 images/s [10/19 01:42:29] ppdet.engine INFO: Epoch: [298] [120/229] learning_rate: 0.000024 loss_vfl: 0.722125 loss_bbox: 0.264191 loss_dfl: 0.187256 loss: 1.182005 eta: 0:12:25 batch_cost: 2.2323 data_cost: 0.0030 ips: 28.6699 images/s [10/19 01:43:17] ppdet.engine INFO: Epoch: [298] [140/229] learning_rate: 0.000021 loss_vfl: 0.706471 loss_bbox: 0.272130 loss_dfl: 0.185399 loss: 1.177360 eta: 0:11:41 batch_cost: 2.1585 data_cost: 0.0036 ips: 29.6507 images/s [10/19 01:44:04] ppdet.engine INFO: Epoch: [298] [160/229] learning_rate: 0.000019 loss_vfl: 0.715469 loss_bbox: 0.283559 loss_dfl: 0.194006 loss: 1.192485 eta: 0:10:57 batch_cost: 2.2306 data_cost: 0.0040 ips: 28.6919 images/s [10/19 01:44:51] ppdet.engine INFO: Epoch: [298] [180/229] learning_rate: 0.000016 loss_vfl: 0.728572 loss_bbox: 0.277731 loss_dfl: 0.185582 loss: 1.185475 eta: 0:10:12 batch_cost: 2.1345 data_cost: 0.0046 ips: 29.9831 images/s [10/19 01:45:38] ppdet.engine INFO: Epoch: [298] [200/229] learning_rate: 0.000014 loss_vfl: 0.714313 loss_bbox: 0.287201 loss_dfl: 0.191118 loss: 1.201169 eta: 0:09:28 batch_cost: 2.1986 data_cost: 0.0036 ips: 29.1090 images/s [10/19 01:46:17] ppdet.engine INFO: Epoch: [298] [220/229] learning_rate: 0.000012 loss_vfl: 0.717291 loss_bbox: 0.257747 loss_dfl: 0.179896 loss: 1.151476 eta: 0:08:44 batch_cost: 1.7896 data_cost: 0.0033 ips: 35.7626 images/s [10/19 01:46:58] ppdet.engine INFO: Epoch: [299] [ 0/229] learning_rate: 0.000011 loss_vfl: 0.703773 loss_bbox: 0.253222 loss_dfl: 0.178134 loss: 1.144994 eta: 0:08:24 batch_cost: 2.5858 data_cost: 0.8027 ips: 24.7502 images/s [10/19 01:47:47] ppdet.engine INFO: Epoch: [299] [ 20/229] learning_rate: 0.000009 loss_vfl: 0.719131 loss_bbox: 0.271561 loss_dfl: 0.190886 loss: 1.169365 eta: 0:07:40 batch_cost: 2.2653 data_cost: 0.0035 ips: 28.2517 images/s [10/19 01:48:35] ppdet.engine INFO: Epoch: [299] [ 40/229] learning_rate: 0.000007 loss_vfl: 0.727236 loss_bbox: 0.255041 loss_dfl: 0.179503 loss: 1.146648 eta: 0:06:56 batch_cost: 2.2365 data_cost: 0.0021 ips: 28.6160 images/s [10/19 01:49:23] ppdet.engine INFO: Epoch: [299] [ 60/229] learning_rate: 0.000006 loss_vfl: 0.716361 loss_bbox: 0.288456 loss_dfl: 0.190407 loss: 1.201642 eta: 0:06:12 batch_cost: 2.2176 data_cost: 0.0033 ips: 28.8607 images/s [10/19 01:50:10] ppdet.engine INFO: Epoch: [299] [ 80/229] learning_rate: 0.000005 loss_vfl: 0.708304 loss_bbox: 0.268805 loss_dfl: 0.181169 loss: 1.164426 eta: 0:05:28 batch_cost: 2.2207 data_cost: 0.0118 ips: 28.8201 images/s [10/19 01:50:57] ppdet.engine INFO: Epoch: [299] [100/229] learning_rate: 0.000003 loss_vfl: 0.713955 loss_bbox: 0.283619 loss_dfl: 0.184967 loss: 1.178144 eta: 0:04:44 batch_cost: 2.1618 data_cost: 0.0033 ips: 29.6048 images/s [10/19 01:51:43] ppdet.engine INFO: Epoch: [299] [120/229] learning_rate: 0.000002 loss_vfl: 0.704341 loss_bbox: 0.281785 loss_dfl: 0.188074 loss: 1.174843 eta: 0:04:00 batch_cost: 2.1210 data_cost: 0.0031 ips: 30.1746 images/s [10/19 01:52:29] ppdet.engine INFO: Epoch: [299] [140/229] learning_rate: 0.000002 loss_vfl: 0.701627 loss_bbox: 0.280586 loss_dfl: 0.180366 loss: 1.164638 eta: 0:03:16 batch_cost: 2.1355 data_cost: 0.0022 ips: 29.9702 images/s [10/19 01:53:16] ppdet.engine INFO: Epoch: [299] [160/229] learning_rate: 0.000001 loss_vfl: 0.700569 loss_bbox: 0.267115 loss_dfl: 0.173115 loss: 1.161497 eta: 0:02:32 batch_cost: 2.1677 data_cost: 0.0018 ips: 29.5248 images/s [10/19 01:54:03] ppdet.engine INFO: Epoch: [299] [180/229] learning_rate: 0.000001 loss_vfl: 0.721377 loss_bbox: 0.268488 loss_dfl: 0.182316 loss: 1.153253 eta: 0:01:48 batch_cost: 2.1842 data_cost: 0.0040 ips: 29.3010 images/s [10/19 01:54:49] ppdet.engine INFO: Epoch: [299] [200/229] learning_rate: 0.000000 loss_vfl: 0.712853 loss_bbox: 0.276411 loss_dfl: 0.185885 loss: 1.182394 eta: 0:01:03 batch_cost: 2.1497 data_cost: 0.0035 ips: 29.7717 images/s [10/19 01:55:27] ppdet.engine INFO: Epoch: [299] [220/229] learning_rate: 0.000000 loss_vfl: 0.714386 loss_bbox: 0.303184 loss_dfl: 0.190173 loss: 1.205163 eta: 0:00:19 batch_cost: 1.7396 data_cost: 0.0032 ips: 36.7896 images/s [10/19 01:55:40] ppdet.utils.checkpoint INFO: Save checkpoint: output/picodet_m_shufflenetv2_320_coco [10/19 01:55:41] ppdet.engine INFO: Eval iter: 0 [10/19 01:56:01] ppdet.engine INFO: Eval iter: 100 [10/19 01:56:16] ppdet.engine INFO: Eval iter: 200 [10/19 01:56:30] ppdet.engine INFO: Eval iter: 300 [10/19 01:56:46] ppdet.engine INFO: Eval iter: 400 [10/19 01:57:01] ppdet.engine INFO: Eval iter: 500 [10/19 01:57:15] ppdet.engine INFO: Eval iter: 600 [10/19 01:57:27] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json. loading annotations into memory... Done (t=0.97s) creating index... index created! [10/19 01:57:28] ppdet.metrics.coco_utils INFO: Start evaluate... Loading and preparing results... DONE (t=5.38s) creating index... index created! Running per image evaluation... Evaluate annotation type *bbox* DONE (t=64.88s). Accumulating evaluation results... DONE (t=11.21s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.306 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.456 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.322 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 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.426 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 ] = 0.162 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.716 [10/19 01:58:52] ppdet.engine INFO: Total sample number: 5000, averge FPS: 49.94581200722945 [10/19 01:58:52] ppdet.engine INFO: Best test bbox ap is 0.309.