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train-log-37.4.txt
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I1224 14:38:33.663877 2477 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0
W1224 14:38:34.801414 2477 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1224 14:38:34.807348 2477 device_context.cc:465] device: 0, cuDNN Version: 7.6.
loading annotations into memory...
Done (t=21.01s)
creating index...
index created!
[12/24 14:39:12] 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.
[12/24 14:39:27] 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.
[12/24 14:39:35] ppdet.utils.checkpoint INFO: Finish loading model weights: code/resnet50_va_pretrained.pdparams
W1224 14:39:44.746704 2477 reducer.cc:586] All parameters are involved in the backward pass. It is recommended to set find_unused_parameters to False to improve performance. However, if unused parameters appear in subsequent iterative training, then an error will occur. Please make it clear that in the subsequent training, there will be no parameters that are not used in the backward pass, and then set find_unused_parameters
[12/24 14:39:45] ppdet.engine INFO: Epoch: [0] [ 0/3664] learning_rate: 0.000040 loss_cls: 1.427749 loss_reg: 0.959708 loss: 2.387456 eta: 4 days, 22:46:27 batch_cost: 9.7250 data_cost: 4.8058 ips: 0.8226 images/s
[12/24 14:41:02] ppdet.engine INFO: Epoch: [0] [ 50/3664] learning_rate: 0.002038 loss_cls: 0.935905 loss_reg: 0.737651 loss: 1.687429 eta: 20:43:33 batch_cost: 1.5384 data_cost: 0.0004 ips: 5.2002 images/s
[12/24 14:42:10] ppdet.engine INFO: Epoch: [0] [ 100/3664] learning_rate: 0.004037 loss_cls: 0.827723 loss_reg: 0.772411 loss: 1.602658 eta: 18:40:19 batch_cost: 1.3624 data_cost: 0.0004 ips: 5.8721 images/s
[12/24 14:43:17] ppdet.engine INFO: Epoch: [0] [ 150/3664] learning_rate: 0.006036 loss_cls: 0.685979 loss_reg: 0.656864 loss: 1.342799 eta: 17:50:27 batch_cost: 1.3314 data_cost: 0.0005 ips: 6.0088 images/s
[12/24 14:44:21] ppdet.engine INFO: Epoch: [0] [ 200/3664] learning_rate: 0.008034 loss_cls: 0.661931 loss_reg: 0.692453 loss: 1.343959 eta: 17:14:21 batch_cost: 1.2736 data_cost: 0.0003 ips: 6.2815 images/s
[12/24 14:45:30] ppdet.engine INFO: Epoch: [0] [ 250/3664] learning_rate: 0.010033 loss_cls: 0.559588 loss_reg: 0.563702 loss: 1.115443 eta: 17:05:28 batch_cost: 1.3649 data_cost: 0.0004 ips: 5.8611 images/s
[12/24 14:46:39] ppdet.engine INFO: Epoch: [0] [ 300/3664] learning_rate: 0.012032 loss_cls: 0.540924 loss_reg: 0.553953 loss: 1.104671 eta: 17:02:41 batch_cost: 1.3941 data_cost: 0.0004 ips: 5.7385 images/s
[12/24 14:47:48] ppdet.engine INFO: Epoch: [0] [ 350/3664] learning_rate: 0.014030 loss_cls: 0.519943 loss_reg: 0.564284 loss: 1.123382 eta: 16:58:51 batch_cost: 1.3794 data_cost: 0.0004 ips: 5.7995 images/s
[12/24 14:48:56] ppdet.engine INFO: Epoch: [0] [ 400/3664] learning_rate: 0.016029 loss_cls: 0.516761 loss_reg: 0.572422 loss: 1.071956 eta: 16:53:36 batch_cost: 1.3565 data_cost: 0.0004 ips: 5.8976 images/s
[12/24 14:50:06] ppdet.engine INFO: Epoch: [0] [ 450/3664] learning_rate: 0.018028 loss_cls: 0.516410 loss_reg: 0.514797 loss: 1.073017 eta: 16:52:15 batch_cost: 1.3936 data_cost: 0.0004 ips: 5.7406 images/s
[12/24 14:51:16] ppdet.engine INFO: Epoch: [0] [ 500/3664] learning_rate: 0.020026 loss_cls: 0.518970 loss_reg: 0.579551 loss: 1.107031 eta: 16:52:08 batch_cost: 1.4100 data_cost: 0.0004 ips: 5.6737 images/s
[12/24 14:52:27] ppdet.engine INFO: Epoch: [0] [ 550/3664] learning_rate: 0.022025 loss_cls: 0.452298 loss_reg: 0.465572 loss: 0.932667 eta: 16:51:41 batch_cost: 1.4080 data_cost: 0.0004 ips: 5.6818 images/s
[12/24 14:53:36] ppdet.engine INFO: Epoch: [0] [ 600/3664] learning_rate: 0.024024 loss_cls: 0.436156 loss_reg: 0.487759 loss: 0.955334 eta: 16:49:36 batch_cost: 1.3827 data_cost: 0.0004 ips: 5.7856 images/s
[12/24 14:54:46] ppdet.engine INFO: Epoch: [0] [ 650/3664] learning_rate: 0.026022 loss_cls: 0.465557 loss_reg: 0.571320 loss: 1.047252 eta: 16:48:42 batch_cost: 1.4015 data_cost: 0.0004 ips: 5.7081 images/s
[12/24 14:55:55] ppdet.engine INFO: Epoch: [0] [ 700/3664] learning_rate: 0.028021 loss_cls: 0.463792 loss_reg: 0.472127 loss: 0.942650 eta: 16:46:56 batch_cost: 1.3854 data_cost: 0.0004 ips: 5.7745 images/s
[12/24 14:57:07] ppdet.engine INFO: Epoch: [0] [ 750/3664] learning_rate: 0.030020 loss_cls: 0.462567 loss_reg: 0.498553 loss: 0.952356 eta: 16:47:26 batch_cost: 1.4313 data_cost: 0.0004 ips: 5.5893 images/s
[12/24 14:58:15] ppdet.engine INFO: Epoch: [0] [ 800/3664] learning_rate: 0.032018 loss_cls: 0.441259 loss_reg: 0.462220 loss: 0.899806 eta: 16:44:36 batch_cost: 1.3615 data_cost: 0.0004 ips: 5.8759 images/s
[12/24 14:59:24] ppdet.engine INFO: Epoch: [0] [ 850/3664] learning_rate: 0.034017 loss_cls: 0.458379 loss_reg: 0.511956 loss: 0.975704 eta: 16:42:45 batch_cost: 1.3798 data_cost: 0.0004 ips: 5.7980 images/s
[12/24 15:00:30] ppdet.engine INFO: Epoch: [0] [ 900/3664] learning_rate: 0.036016 loss_cls: 0.443548 loss_reg: 0.458606 loss: 0.929837 eta: 16:38:33 batch_cost: 1.3191 data_cost: 0.0004 ips: 6.0646 images/s
[12/24 15:01:36] ppdet.engine INFO: Epoch: [0] [ 950/3664] learning_rate: 0.038015 loss_cls: 0.438442 loss_reg: 0.476351 loss: 0.914034 eta: 16:34:19 batch_cost: 1.3096 data_cost: 0.0004 ips: 6.1089 images/s
[12/24 15:02:44] ppdet.engine INFO: Epoch: [0] [1000/3664] learning_rate: 0.040013 loss_cls: 0.445098 loss_reg: 0.517451 loss: 0.985032 eta: 16:32:13 batch_cost: 1.3605 data_cost: 0.0004 ips: 5.8803 images/s
[12/24 15:03:52] ppdet.engine INFO: Epoch: [0] [1050/3664] learning_rate: 0.042012 loss_cls: 0.435023 loss_reg: 0.480111 loss: 0.923523 eta: 16:30:25 batch_cost: 1.3667 data_cost: 0.0004 ips: 5.8535 images/s
[12/24 15:05:03] ppdet.engine INFO: Epoch: [0] [1100/3664] learning_rate: 0.044011 loss_cls: 0.415281 loss_reg: 0.456658 loss: 0.898981 eta: 16:30:18 batch_cost: 1.4166 data_cost: 0.0004 ips: 5.6472 images/s
[12/24 15:06:13] ppdet.engine INFO: Epoch: [0] [1150/3664] learning_rate: 0.046009 loss_cls: 0.435881 loss_reg: 0.516242 loss: 0.969449 eta: 16:29:27 batch_cost: 1.3960 data_cost: 0.0004 ips: 5.7308 images/s
[12/24 15:07:22] ppdet.engine INFO: Epoch: [0] [1200/3664] learning_rate: 0.048008 loss_cls: 0.403190 loss_reg: 0.478507 loss: 0.896981 eta: 16:28:12 batch_cost: 1.3830 data_cost: 0.0004 ips: 5.7845 images/s
[12/24 15:08:31] ppdet.engine INFO: Epoch: [0] [1250/3664] learning_rate: 0.050007 loss_cls: 0.406891 loss_reg: 0.455132 loss: 0.861617 eta: 16:26:35 batch_cost: 1.3705 data_cost: 0.0004 ips: 5.8374 images/s
[12/24 15:09:43] ppdet.engine INFO: Epoch: [0] [1300/3664] learning_rate: 0.052005 loss_cls: 0.433904 loss_reg: 0.465674 loss: 0.873788 eta: 16:26:48 batch_cost: 1.4360 data_cost: 0.0004 ips: 5.5711 images/s
[12/24 15:10:53] ppdet.engine INFO: Epoch: [0] [1350/3664] learning_rate: 0.054004 loss_cls: 0.404762 loss_reg: 0.397622 loss: 0.812754 eta: 16:26:02 batch_cost: 1.4024 data_cost: 0.0004 ips: 5.7046 images/s
[12/24 15:12:02] ppdet.engine INFO: Epoch: [0] [1400/3664] learning_rate: 0.056003 loss_cls: 0.422488 loss_reg: 0.491440 loss: 0.947658 eta: 16:24:41 batch_cost: 1.3806 data_cost: 0.0004 ips: 5.7946 images/s
[12/24 15:13:13] ppdet.engine INFO: Epoch: [0] [1450/3664] learning_rate: 0.058001 loss_cls: 0.373225 loss_reg: 0.446214 loss: 0.822413 eta: 16:24:31 batch_cost: 1.4282 data_cost: 0.0004 ips: 5.6016 images/s
[12/24 15:14:24] ppdet.engine INFO: Epoch: [0] [1500/3664] learning_rate: 0.060000 loss_cls: 0.369219 loss_reg: 0.410761 loss: 0.815429 eta: 16:23:46 batch_cost: 1.4069 data_cost: 0.0004 ips: 5.6862 images/s
[12/24 15:15:33] ppdet.engine INFO: Epoch: [0] [1550/3664] learning_rate: 0.060000 loss_cls: 0.462353 loss_reg: 0.490195 loss: 0.917522 eta: 16:22:25 batch_cost: 1.3812 data_cost: 0.0004 ips: 5.7922 images/s
[12/24 15:16:44] ppdet.engine INFO: Epoch: [0] [1600/3664] learning_rate: 0.060000 loss_cls: 0.431428 loss_reg: 0.486226 loss: 0.910606 eta: 16:21:51 batch_cost: 1.4167 data_cost: 0.0004 ips: 5.6471 images/s
[12/24 15:17:50] ppdet.engine INFO: Epoch: [0] [1650/3664] learning_rate: 0.060000 loss_cls: 0.418549 loss_reg: 0.440969 loss: 0.842070 eta: 16:19:11 batch_cost: 1.3200 data_cost: 0.0004 ips: 6.0606 images/s
[12/24 15:18:55] ppdet.engine INFO: Epoch: [0] [1700/3664] learning_rate: 0.060000 loss_cls: 0.437467 loss_reg: 0.484334 loss: 0.899030 eta: 16:16:30 batch_cost: 1.3148 data_cost: 0.0004 ips: 6.0844 images/s
[12/24 15:20:04] ppdet.engine INFO: Epoch: [0] [1750/3664] learning_rate: 0.060000 loss_cls: 0.399310 loss_reg: 0.441404 loss: 0.846304 eta: 16:14:54 batch_cost: 1.3641 data_cost: 0.0004 ips: 5.8647 images/s
[12/24 15:21:13] ppdet.engine INFO: Epoch: [0] [1800/3664] learning_rate: 0.060000 loss_cls: 0.355309 loss_reg: 0.409596 loss: 0.779812 eta: 16:13:42 batch_cost: 1.3830 data_cost: 0.0004 ips: 5.7845 images/s
[12/24 15:22:23] ppdet.engine INFO: Epoch: [0] [1850/3664] learning_rate: 0.060000 loss_cls: 0.369661 loss_reg: 0.434378 loss: 0.813037 eta: 16:12:49 batch_cost: 1.3997 data_cost: 0.0004 ips: 5.7154 images/s
[12/24 15:23:32] ppdet.engine INFO: Epoch: [0] [1900/3664] learning_rate: 0.060000 loss_cls: 0.395039 loss_reg: 0.419761 loss: 0.819995 eta: 16:11:15 batch_cost: 1.3635 data_cost: 0.0004 ips: 5.8673 images/s
[12/24 15:24:42] ppdet.engine INFO: Epoch: [0] [1950/3664] learning_rate: 0.060000 loss_cls: 0.410544 loss_reg: 0.460474 loss: 0.908064 eta: 16:10:20 batch_cost: 1.3981 data_cost: 0.0004 ips: 5.7219 images/s
[12/24 15:25:52] ppdet.engine INFO: Epoch: [0] [2000/3664] learning_rate: 0.060000 loss_cls: 0.394212 loss_reg: 0.505450 loss: 0.895928 eta: 16:09:23 batch_cost: 1.3979 data_cost: 0.0004 ips: 5.7229 images/s
[12/24 15:27:02] ppdet.engine INFO: Epoch: [0] [2050/3664] learning_rate: 0.060000 loss_cls: 0.373151 loss_reg: 0.421281 loss: 0.829552 eta: 16:08:38 batch_cost: 1.4094 data_cost: 0.0004 ips: 5.6761 images/s
[12/24 15:28:11] ppdet.engine INFO: Epoch: [0] [2100/3664] learning_rate: 0.060000 loss_cls: 0.371032 loss_reg: 0.420287 loss: 0.828767 eta: 16:07:22 batch_cost: 1.3797 data_cost: 0.0004 ips: 5.7982 images/s
[12/24 15:29:20] ppdet.engine INFO: Epoch: [0] [2150/3664] learning_rate: 0.060000 loss_cls: 0.382354 loss_reg: 0.456262 loss: 0.864859 eta: 16:06:03 batch_cost: 1.3764 data_cost: 0.0004 ips: 5.8121 images/s
[12/24 15:30:30] ppdet.engine INFO: Epoch: [0] [2200/3664] learning_rate: 0.060000 loss_cls: 0.385222 loss_reg: 0.418083 loss: 0.802866 eta: 16:05:10 batch_cost: 1.4036 data_cost: 0.0004 ips: 5.6995 images/s
[12/24 15:31:40] ppdet.engine INFO: Epoch: [0] [2250/3664] learning_rate: 0.060000 loss_cls: 0.352688 loss_reg: 0.465818 loss: 0.824356 eta: 16:04:08 batch_cost: 1.3942 data_cost: 0.0004 ips: 5.7380 images/s
[12/24 15:32:50] ppdet.engine INFO: Epoch: [0] [2300/3664] learning_rate: 0.060000 loss_cls: 0.383523 loss_reg: 0.428202 loss: 0.840507 eta: 16:03:15 batch_cost: 1.4049 data_cost: 0.0004 ips: 5.6942 images/s
[12/24 15:34:01] ppdet.engine INFO: Epoch: [0] [2350/3664] learning_rate: 0.060000 loss_cls: 0.383034 loss_reg: 0.462179 loss: 0.847387 eta: 16:02:33 batch_cost: 1.4172 data_cost: 0.0004 ips: 5.6448 images/s
[12/24 15:35:05] ppdet.engine INFO: Epoch: [0] [2400/3664] learning_rate: 0.060000 loss_cls: 0.405768 loss_reg: 0.447132 loss: 0.871456 eta: 15:59:34 batch_cost: 1.2613 data_cost: 0.0004 ips: 6.3427 images/s
[12/24 15:36:10] ppdet.engine INFO: Epoch: [0] [2450/3664] learning_rate: 0.060000 loss_cls: 0.394340 loss_reg: 0.453534 loss: 0.832745 eta: 15:57:20 batch_cost: 1.3091 data_cost: 0.0004 ips: 6.1109 images/s
[12/24 15:37:20] ppdet.engine INFO: Epoch: [0] [2500/3664] learning_rate: 0.060000 loss_cls: 0.381404 loss_reg: 0.423981 loss: 0.805962 eta: 15:56:22 batch_cost: 1.3969 data_cost: 0.0004 ips: 5.7269 images/s
[12/24 15:38:33] ppdet.engine INFO: Epoch: [0] [2550/3664] learning_rate: 0.060000 loss_cls: 0.376762 loss_reg: 0.491620 loss: 0.867960 eta: 15:55:59 batch_cost: 1.4400 data_cost: 0.0004 ips: 5.5555 images/s
[12/24 15:39:42] ppdet.engine INFO: Epoch: [0] [2600/3664] learning_rate: 0.060000 loss_cls: 0.398143 loss_reg: 0.427474 loss: 0.861155 eta: 15:54:54 batch_cost: 1.3900 data_cost: 0.0004 ips: 5.7552 images/s
[12/24 15:40:52] ppdet.engine INFO: Epoch: [0] [2650/3664] learning_rate: 0.060000 loss_cls: 0.386398 loss_reg: 0.453671 loss: 0.874521 eta: 15:53:43 batch_cost: 1.3837 data_cost: 0.0004 ips: 5.7818 images/s
[12/24 15:42:00] ppdet.engine INFO: Epoch: [0] [2700/3664] learning_rate: 0.060000 loss_cls: 0.368008 loss_reg: 0.415128 loss: 0.781608 eta: 15:52:23 batch_cost: 1.3699 data_cost: 0.0004 ips: 5.8397 images/s
[12/24 15:43:08] ppdet.engine INFO: Epoch: [0] [2750/3664] learning_rate: 0.060000 loss_cls: 0.347975 loss_reg: 0.448357 loss: 0.756214 eta: 15:50:48 batch_cost: 1.3506 data_cost: 0.0004 ips: 5.9234 images/s
[12/24 15:44:18] ppdet.engine INFO: Epoch: [0] [2800/3664] learning_rate: 0.060000 loss_cls: 0.335631 loss_reg: 0.421507 loss: 0.750931 eta: 15:49:39 batch_cost: 1.3848 data_cost: 0.0004 ips: 5.7772 images/s
[12/24 15:45:24] ppdet.engine INFO: Epoch: [0] [2850/3664] learning_rate: 0.060000 loss_cls: 0.355767 loss_reg: 0.399085 loss: 0.773491 eta: 15:47:46 batch_cost: 1.3238 data_cost: 0.0004 ips: 6.0432 images/s
[12/24 15:46:37] ppdet.engine INFO: Epoch: [0] [2900/3664] learning_rate: 0.060000 loss_cls: 0.357521 loss_reg: 0.445994 loss: 0.807544 eta: 15:47:25 batch_cost: 1.4500 data_cost: 0.0004 ips: 5.5172 images/s
[12/24 15:47:46] ppdet.engine INFO: Epoch: [0] [2950/3664] learning_rate: 0.060000 loss_cls: 0.359653 loss_reg: 0.398074 loss: 0.750781 eta: 15:46:19 batch_cost: 1.3886 data_cost: 0.0004 ips: 5.7610 images/s
[12/24 15:48:56] ppdet.engine INFO: Epoch: [0] [3000/3664] learning_rate: 0.060000 loss_cls: 0.352322 loss_reg: 0.417120 loss: 0.768244 eta: 15:45:11 batch_cost: 1.3864 data_cost: 0.0004 ips: 5.7703 images/s
[12/24 15:50:04] ppdet.engine INFO: Epoch: [0] [3050/3664] learning_rate: 0.060000 loss_cls: 0.314761 loss_reg: 0.363597 loss: 0.694205 eta: 15:43:48 batch_cost: 1.3637 data_cost: 0.0004 ips: 5.8665 images/s
[12/24 15:51:12] ppdet.engine INFO: Epoch: [0] [3100/3664] learning_rate: 0.060000 loss_cls: 0.339774 loss_reg: 0.395348 loss: 0.722429 eta: 15:42:26 batch_cost: 1.3648 data_cost: 0.0004 ips: 5.8617 images/s
[12/24 15:52:16] ppdet.engine INFO: Epoch: [0] [3150/3664] learning_rate: 0.060000 loss_cls: 0.362161 loss_reg: 0.423727 loss: 0.796397 eta: 15:40:09 batch_cost: 1.2794 data_cost: 0.0004 ips: 6.2529 images/s
[12/24 15:53:23] ppdet.engine INFO: Epoch: [0] [3200/3664] learning_rate: 0.060000 loss_cls: 0.357536 loss_reg: 0.391769 loss: 0.752780 eta: 15:38:30 batch_cost: 1.3350 data_cost: 0.0004 ips: 5.9927 images/s
[12/24 15:54:32] ppdet.engine INFO: Epoch: [0] [3250/3664] learning_rate: 0.060000 loss_cls: 0.349800 loss_reg: 0.463762 loss: 0.822215 eta: 15:37:19 batch_cost: 1.3772 data_cost: 0.0004 ips: 5.8089 images/s
[12/24 15:55:40] ppdet.engine INFO: Epoch: [0] [3300/3664] learning_rate: 0.060000 loss_cls: 0.314236 loss_reg: 0.355480 loss: 0.665772 eta: 15:35:58 batch_cost: 1.3617 data_cost: 0.0004 ips: 5.8748 images/s
[12/24 15:56:51] ppdet.engine INFO: Epoch: [0] [3350/3664] learning_rate: 0.060000 loss_cls: 0.360107 loss_reg: 0.434522 loss: 0.797284 eta: 15:35:06 batch_cost: 1.4091 data_cost: 0.0004 ips: 5.6774 images/s
[12/24 15:57:59] ppdet.engine INFO: Epoch: [0] [3400/3664] learning_rate: 0.060000 loss_cls: 0.328678 loss_reg: 0.410184 loss: 0.735985 eta: 15:33:48 batch_cost: 1.3674 data_cost: 0.0004 ips: 5.8506 images/s
[12/24 15:59:09] ppdet.engine INFO: Epoch: [0] [3450/3664] learning_rate: 0.060000 loss_cls: 0.362603 loss_reg: 0.415628 loss: 0.772655 eta: 15:32:47 batch_cost: 1.3951 data_cost: 0.0005 ips: 5.7342 images/s
[12/24 16:00:20] ppdet.engine INFO: Epoch: [0] [3500/3664] learning_rate: 0.060000 loss_cls: 0.318893 loss_reg: 0.359480 loss: 0.690648 eta: 15:31:56 batch_cost: 1.4118 data_cost: 0.0004 ips: 5.6666 images/s
[12/24 16:01:29] ppdet.engine INFO: Epoch: [0] [3550/3664] learning_rate: 0.060000 loss_cls: 0.341952 loss_reg: 0.399298 loss: 0.726851 eta: 15:30:46 batch_cost: 1.3804 data_cost: 0.0004 ips: 5.7955 images/s
[12/24 16:02:39] ppdet.engine INFO: Epoch: [0] [3600/3664] learning_rate: 0.060000 loss_cls: 0.314731 loss_reg: 0.379801 loss: 0.686671 eta: 15:29:45 batch_cost: 1.3968 data_cost: 0.0004 ips: 5.7275 images/s
[12/24 16:03:45] ppdet.engine INFO: Epoch: [0] [3650/3664] learning_rate: 0.060000 loss_cls: 0.365543 loss_reg: 0.381258 loss: 0.812431 eta: 15:28:00 batch_cost: 1.3169 data_cost: 0.0004 ips: 6.0750 images/s
[12/24 16:04:03] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
loading annotations into memory...
Done (t=1.27s)
creating index...
index created!
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[12/24 16:08:57] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
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creating index...
index created!
[12/24 16:08:57] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=4.77s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=71.69s).
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DONE (t=12.38s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.181
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.352
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.167
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 ] = 0.202
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.264
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.187
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.321
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.348
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.148
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.400
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.501
[12/24 16:10:28] ppdet.engine INFO: Total sample number: 4952, averge FPS: 18.214397636576493
[12/24 16:10:28] ppdet.engine INFO: Best test bbox ap is 0.181.
[12/24 16:10:29] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
[12/24 16:10:31] ppdet.engine INFO: Epoch: [1] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.376094 loss_reg: 0.392701 loss: 0.831070 eta: 15:26:19 batch_cost: 1.1994 data_cost: 0.0004 ips: 6.6699 images/s
[12/24 16:11:50] ppdet.engine INFO: Epoch: [1] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.356924 loss_reg: 0.436171 loss: 0.787712 eta: 15:27:05 batch_cost: 1.5907 data_cost: 0.0004 ips: 5.0293 images/s
[12/24 16:12:58] ppdet.engine INFO: Epoch: [1] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.322836 loss_reg: 0.383750 loss: 0.705106 eta: 15:25:39 batch_cost: 1.3498 data_cost: 0.0004 ips: 5.9268 images/s
[12/24 16:14:04] ppdet.engine INFO: Epoch: [1] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.340706 loss_reg: 0.425247 loss: 0.768116 eta: 15:24:04 batch_cost: 1.3331 data_cost: 0.0004 ips: 6.0011 images/s
[12/24 16:15:13] ppdet.engine INFO: Epoch: [1] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.331025 loss_reg: 0.388775 loss: 0.718788 eta: 15:22:47 batch_cost: 1.3648 data_cost: 0.0004 ips: 5.8618 images/s
[12/24 16:16:23] ppdet.engine INFO: Epoch: [1] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.350275 loss_reg: 0.411732 loss: 0.763960 eta: 15:21:49 batch_cost: 1.4027 data_cost: 0.0004 ips: 5.7035 images/s
[12/24 16:17:33] ppdet.engine INFO: Epoch: [1] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.332063 loss_reg: 0.393112 loss: 0.729189 eta: 15:20:51 batch_cost: 1.4029 data_cost: 0.0004 ips: 5.7024 images/s
[12/24 16:18:44] ppdet.engine INFO: Epoch: [1] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.330222 loss_reg: 0.389267 loss: 0.703503 eta: 15:19:59 batch_cost: 1.4159 data_cost: 0.0004 ips: 5.6502 images/s
[12/24 16:19:51] ppdet.engine INFO: Epoch: [1] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.360608 loss_reg: 0.452137 loss: 0.800713 eta: 15:18:32 batch_cost: 1.3451 data_cost: 0.0004 ips: 5.9474 images/s
[12/24 16:21:01] ppdet.engine INFO: Epoch: [1] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.335899 loss_reg: 0.387510 loss: 0.711711 eta: 15:17:29 batch_cost: 1.3924 data_cost: 0.0004 ips: 5.7453 images/s
[12/24 16:22:13] ppdet.engine INFO: Epoch: [1] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.339199 loss_reg: 0.417166 loss: 0.739574 eta: 15:16:43 batch_cost: 1.4303 data_cost: 0.0004 ips: 5.5932 images/s
[12/24 16:23:23] ppdet.engine INFO: Epoch: [1] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.328430 loss_reg: 0.379349 loss: 0.724437 eta: 15:15:46 batch_cost: 1.4069 data_cost: 0.0004 ips: 5.6861 images/s
[12/24 16:24:32] ppdet.engine INFO: Epoch: [1] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.343353 loss_reg: 0.405711 loss: 0.722197 eta: 15:14:40 batch_cost: 1.3897 data_cost: 0.0004 ips: 5.7565 images/s
[12/24 16:25:39] ppdet.engine INFO: Epoch: [1] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.345009 loss_reg: 0.388133 loss: 0.751266 eta: 15:13:11 batch_cost: 1.3387 data_cost: 0.0003 ips: 5.9761 images/s
[12/24 16:26:47] ppdet.engine INFO: Epoch: [1] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.327557 loss_reg: 0.359550 loss: 0.734231 eta: 15:11:45 batch_cost: 1.3435 data_cost: 0.0003 ips: 5.9546 images/s
[12/24 16:27:57] ppdet.engine INFO: Epoch: [1] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.316410 loss_reg: 0.428049 loss: 0.741056 eta: 15:10:39 batch_cost: 1.3879 data_cost: 0.0004 ips: 5.7640 images/s
[12/24 16:29:07] ppdet.engine INFO: Epoch: [1] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.330114 loss_reg: 0.372969 loss: 0.674433 eta: 15:09:37 batch_cost: 1.3987 data_cost: 0.0004 ips: 5.7195 images/s
[12/24 16:30:18] ppdet.engine INFO: Epoch: [1] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.381041 loss_reg: 0.414699 loss: 0.794844 eta: 15:08:42 batch_cost: 1.4136 data_cost: 0.0004 ips: 5.6594 images/s
[12/24 16:31:27] ppdet.engine INFO: Epoch: [1] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.335688 loss_reg: 0.429123 loss: 0.788726 eta: 15:07:39 batch_cost: 1.3951 data_cost: 0.0004 ips: 5.7342 images/s
[12/24 16:32:40] ppdet.engine INFO: Epoch: [1] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.324797 loss_reg: 0.370803 loss: 0.730280 eta: 15:06:56 batch_cost: 1.4432 data_cost: 0.0004 ips: 5.5434 images/s
[12/24 16:33:51] ppdet.engine INFO: Epoch: [1] [1000/3664] learning_rate: 0.060000 loss_cls: 0.343910 loss_reg: 0.428836 loss: 0.811408 eta: 15:06:01 batch_cost: 1.4163 data_cost: 0.0004 ips: 5.6485 images/s
[12/24 16:35:00] ppdet.engine INFO: Epoch: [1] [1050/3664] learning_rate: 0.060000 loss_cls: 0.332548 loss_reg: 0.384639 loss: 0.709511 eta: 15:04:48 batch_cost: 1.3748 data_cost: 0.0004 ips: 5.8188 images/s
[12/24 16:36:08] ppdet.engine INFO: Epoch: [1] [1100/3664] learning_rate: 0.060000 loss_cls: 0.347893 loss_reg: 0.401816 loss: 0.742340 eta: 15:03:35 batch_cost: 1.3725 data_cost: 0.0004 ips: 5.8289 images/s
[12/24 16:37:18] ppdet.engine INFO: Epoch: [1] [1150/3664] learning_rate: 0.060000 loss_cls: 0.327334 loss_reg: 0.339680 loss: 0.683929 eta: 15:02:28 batch_cost: 1.3883 data_cost: 0.0004 ips: 5.7624 images/s
[12/24 16:38:27] ppdet.engine INFO: Epoch: [1] [1200/3664] learning_rate: 0.060000 loss_cls: 0.367434 loss_reg: 0.429348 loss: 0.812235 eta: 15:01:18 batch_cost: 1.3821 data_cost: 0.0010 ips: 5.7881 images/s
[12/24 16:39:36] ppdet.engine INFO: Epoch: [1] [1250/3664] learning_rate: 0.060000 loss_cls: 0.274643 loss_reg: 0.367679 loss: 0.630061 eta: 15:00:00 batch_cost: 1.3589 data_cost: 0.0007 ips: 5.8870 images/s
[12/24 16:40:47] ppdet.engine INFO: Epoch: [1] [1300/3664] learning_rate: 0.060000 loss_cls: 0.317614 loss_reg: 0.390903 loss: 0.700090 eta: 14:59:07 batch_cost: 1.4254 data_cost: 0.0004 ips: 5.6126 images/s
[12/24 16:41:57] ppdet.engine INFO: Epoch: [1] [1350/3664] learning_rate: 0.060000 loss_cls: 0.330090 loss_reg: 0.403392 loss: 0.742877 eta: 14:58:03 batch_cost: 1.3960 data_cost: 0.0004 ips: 5.7309 images/s
[12/24 16:43:02] ppdet.engine INFO: Epoch: [1] [1400/3664] learning_rate: 0.060000 loss_cls: 0.339349 loss_reg: 0.422117 loss: 0.772529 eta: 14:56:23 batch_cost: 1.3032 data_cost: 0.0004 ips: 6.1388 images/s
[12/24 16:44:09] ppdet.engine INFO: Epoch: [1] [1450/3664] learning_rate: 0.060000 loss_cls: 0.357323 loss_reg: 0.440591 loss: 0.796283 eta: 14:54:54 batch_cost: 1.3302 data_cost: 0.0004 ips: 6.0140 images/s
[12/24 16:45:19] ppdet.engine INFO: Epoch: [1] [1500/3664] learning_rate: 0.060000 loss_cls: 0.304216 loss_reg: 0.399205 loss: 0.758795 eta: 14:53:55 batch_cost: 1.4079 data_cost: 0.0004 ips: 5.6824 images/s
[12/24 16:46:27] ppdet.engine INFO: Epoch: [1] [1550/3664] learning_rate: 0.060000 loss_cls: 0.316155 loss_reg: 0.416365 loss: 0.759012 eta: 14:52:37 batch_cost: 1.3588 data_cost: 0.0004 ips: 5.8876 images/s
[12/24 16:47:39] ppdet.engine INFO: Epoch: [1] [1600/3664] learning_rate: 0.060000 loss_cls: 0.328561 loss_reg: 0.356613 loss: 0.697059 eta: 14:51:42 batch_cost: 1.4218 data_cost: 0.0004 ips: 5.6267 images/s
[12/24 16:48:50] ppdet.engine INFO: Epoch: [1] [1650/3664] learning_rate: 0.060000 loss_cls: 0.336697 loss_reg: 0.390593 loss: 0.757699 eta: 14:50:49 batch_cost: 1.4256 data_cost: 0.0004 ips: 5.6116 images/s
[12/24 16:50:00] ppdet.engine INFO: Epoch: [1] [1700/3664] learning_rate: 0.060000 loss_cls: 0.338707 loss_reg: 0.394576 loss: 0.725703 eta: 14:49:44 batch_cost: 1.3930 data_cost: 0.0004 ips: 5.7429 images/s
[12/24 16:51:09] ppdet.engine INFO: Epoch: [1] [1750/3664] learning_rate: 0.060000 loss_cls: 0.304254 loss_reg: 0.360940 loss: 0.718104 eta: 14:48:32 batch_cost: 1.3765 data_cost: 0.0039 ips: 5.8120 images/s
[12/24 16:52:20] ppdet.engine INFO: Epoch: [1] [1800/3664] learning_rate: 0.060000 loss_cls: 0.334398 loss_reg: 0.420517 loss: 0.776852 eta: 14:47:34 batch_cost: 1.4136 data_cost: 0.0004 ips: 5.6592 images/s
[12/24 16:53:29] ppdet.engine INFO: Epoch: [1] [1850/3664] learning_rate: 0.060000 loss_cls: 0.292149 loss_reg: 0.416444 loss: 0.704190 eta: 14:46:27 batch_cost: 1.3886 data_cost: 0.0004 ips: 5.7611 images/s
[12/24 16:54:39] ppdet.engine INFO: Epoch: [1] [1900/3664] learning_rate: 0.060000 loss_cls: 0.297293 loss_reg: 0.375302 loss: 0.667554 eta: 14:45:22 batch_cost: 1.3950 data_cost: 0.0004 ips: 5.7349 images/s
[12/24 16:55:50] ppdet.engine INFO: Epoch: [1] [1950/3664] learning_rate: 0.060000 loss_cls: 0.320385 loss_reg: 0.363246 loss: 0.682602 eta: 14:44:20 batch_cost: 1.4058 data_cost: 0.0004 ips: 5.6907 images/s
[12/24 16:56:59] ppdet.engine INFO: Epoch: [1] [2000/3664] learning_rate: 0.060000 loss_cls: 0.321229 loss_reg: 0.402276 loss: 0.730953 eta: 14:43:13 batch_cost: 1.3896 data_cost: 0.0004 ips: 5.7569 images/s
[12/24 16:58:10] ppdet.engine INFO: Epoch: [1] [2050/3664] learning_rate: 0.060000 loss_cls: 0.356937 loss_reg: 0.432311 loss: 0.808537 eta: 14:42:13 batch_cost: 1.4107 data_cost: 0.0004 ips: 5.6709 images/s
[12/24 16:59:17] ppdet.engine INFO: Epoch: [1] [2100/3664] learning_rate: 0.060000 loss_cls: 0.292254 loss_reg: 0.354359 loss: 0.631547 eta: 14:40:44 batch_cost: 1.3236 data_cost: 0.0004 ips: 6.0442 images/s
[12/24 17:00:22] ppdet.engine INFO: Epoch: [1] [2150/3664] learning_rate: 0.060000 loss_cls: 0.335108 loss_reg: 0.408895 loss: 0.732998 eta: 14:39:10 batch_cost: 1.3073 data_cost: 0.0004 ips: 6.1194 images/s
[12/24 17:01:28] ppdet.engine INFO: Epoch: [1] [2200/3664] learning_rate: 0.060000 loss_cls: 0.352469 loss_reg: 0.437920 loss: 0.801449 eta: 14:37:38 batch_cost: 1.3121 data_cost: 0.0004 ips: 6.0972 images/s
[12/24 17:02:37] ppdet.engine INFO: Epoch: [1] [2250/3664] learning_rate: 0.060000 loss_cls: 0.330102 loss_reg: 0.369858 loss: 0.710575 eta: 14:36:30 batch_cost: 1.3849 data_cost: 0.0004 ips: 5.7765 images/s
[12/24 17:03:47] ppdet.engine INFO: Epoch: [1] [2300/3664] learning_rate: 0.060000 loss_cls: 0.317064 loss_reg: 0.368050 loss: 0.680308 eta: 14:35:23 batch_cost: 1.3883 data_cost: 0.0004 ips: 5.7625 images/s
[12/24 17:04:56] ppdet.engine INFO: Epoch: [1] [2350/3664] learning_rate: 0.060000 loss_cls: 0.309802 loss_reg: 0.379627 loss: 0.681736 eta: 14:34:15 batch_cost: 1.3876 data_cost: 0.0004 ips: 5.7651 images/s
[12/24 17:06:06] ppdet.engine INFO: Epoch: [1] [2400/3664] learning_rate: 0.060000 loss_cls: 0.328248 loss_reg: 0.405352 loss: 0.719467 eta: 14:33:12 batch_cost: 1.4007 data_cost: 0.0004 ips: 5.7115 images/s
[12/24 17:07:18] ppdet.engine INFO: Epoch: [1] [2450/3664] learning_rate: 0.060000 loss_cls: 0.321451 loss_reg: 0.408131 loss: 0.757198 eta: 14:32:16 batch_cost: 1.4249 data_cost: 0.0004 ips: 5.6143 images/s
[12/24 17:08:28] ppdet.engine INFO: Epoch: [1] [2500/3664] learning_rate: 0.060000 loss_cls: 0.327936 loss_reg: 0.402200 loss: 0.745268 eta: 14:31:15 batch_cost: 1.4083 data_cost: 0.0004 ips: 5.6807 images/s
[12/24 17:09:38] ppdet.engine INFO: Epoch: [1] [2550/3664] learning_rate: 0.060000 loss_cls: 0.323840 loss_reg: 0.384875 loss: 0.690381 eta: 14:30:08 batch_cost: 1.3902 data_cost: 0.0004 ips: 5.7547 images/s
[12/24 17:10:48] ppdet.engine INFO: Epoch: [1] [2600/3664] learning_rate: 0.060000 loss_cls: 0.344493 loss_reg: 0.445519 loss: 0.810201 eta: 14:29:05 batch_cost: 1.4022 data_cost: 0.0004 ips: 5.7053 images/s
[12/24 17:11:56] ppdet.engine INFO: Epoch: [1] [2650/3664] learning_rate: 0.060000 loss_cls: 0.333038 loss_reg: 0.392406 loss: 0.728551 eta: 14:27:48 batch_cost: 1.3598 data_cost: 0.0004 ips: 5.8831 images/s
[12/24 17:13:05] ppdet.engine INFO: Epoch: [1] [2700/3664] learning_rate: 0.060000 loss_cls: 0.300728 loss_reg: 0.368353 loss: 0.706495 eta: 14:26:37 batch_cost: 1.3733 data_cost: 0.0004 ips: 5.8255 images/s
[12/24 17:14:16] ppdet.engine INFO: Epoch: [1] [2750/3664] learning_rate: 0.060000 loss_cls: 0.332772 loss_reg: 0.410730 loss: 0.756757 eta: 14:25:41 batch_cost: 1.4287 data_cost: 0.0004 ips: 5.5995 images/s
[12/24 17:15:27] ppdet.engine INFO: Epoch: [1] [2800/3664] learning_rate: 0.060000 loss_cls: 0.322545 loss_reg: 0.388544 loss: 0.768244 eta: 14:24:40 batch_cost: 1.4122 data_cost: 0.0004 ips: 5.6649 images/s
[12/24 17:16:36] ppdet.engine INFO: Epoch: [1] [2850/3664] learning_rate: 0.060000 loss_cls: 0.346898 loss_reg: 0.415381 loss: 0.755242 eta: 14:23:32 batch_cost: 1.3861 data_cost: 0.0004 ips: 5.7716 images/s
[12/24 17:17:42] ppdet.engine INFO: Epoch: [1] [2900/3664] learning_rate: 0.060000 loss_cls: 0.336514 loss_reg: 0.398631 loss: 0.734229 eta: 14:22:05 batch_cost: 1.3218 data_cost: 0.0004 ips: 6.0523 images/s
[12/24 17:18:50] ppdet.engine INFO: Epoch: [1] [2950/3664] learning_rate: 0.060000 loss_cls: 0.332348 loss_reg: 0.405307 loss: 0.741574 eta: 14:20:46 batch_cost: 1.3492 data_cost: 0.0004 ips: 5.9293 images/s
[12/24 17:20:00] ppdet.engine INFO: Epoch: [1] [3000/3664] learning_rate: 0.060000 loss_cls: 0.306875 loss_reg: 0.391953 loss: 0.675503 eta: 14:19:42 batch_cost: 1.3997 data_cost: 0.0004 ips: 5.7154 images/s
[12/24 17:21:12] ppdet.engine INFO: Epoch: [1] [3050/3664] learning_rate: 0.060000 loss_cls: 0.324617 loss_reg: 0.412433 loss: 0.739551 eta: 14:18:46 batch_cost: 1.4316 data_cost: 0.0004 ips: 5.5880 images/s
[12/24 17:22:20] ppdet.engine INFO: Epoch: [1] [3100/3664] learning_rate: 0.060000 loss_cls: 0.318618 loss_reg: 0.373938 loss: 0.748013 eta: 14:17:32 batch_cost: 1.3647 data_cost: 0.0004 ips: 5.8622 images/s
[12/24 17:23:29] ppdet.engine INFO: Epoch: [1] [3150/3664] learning_rate: 0.060000 loss_cls: 0.320764 loss_reg: 0.410913 loss: 0.730986 eta: 14:16:18 batch_cost: 1.3652 data_cost: 0.0004 ips: 5.8602 images/s
[12/24 17:24:38] ppdet.engine INFO: Epoch: [1] [3200/3664] learning_rate: 0.060000 loss_cls: 0.304214 loss_reg: 0.369055 loss: 0.671675 eta: 14:15:10 batch_cost: 1.3874 data_cost: 0.0004 ips: 5.7664 images/s
[12/24 17:25:47] ppdet.engine INFO: Epoch: [1] [3250/3664] learning_rate: 0.060000 loss_cls: 0.343477 loss_reg: 0.372825 loss: 0.713406 eta: 14:14:00 batch_cost: 1.3798 data_cost: 0.0004 ips: 5.7978 images/s
[12/24 17:26:57] ppdet.engine INFO: Epoch: [1] [3300/3664] learning_rate: 0.060000 loss_cls: 0.321514 loss_reg: 0.423773 loss: 0.746927 eta: 14:12:54 batch_cost: 1.3952 data_cost: 0.0004 ips: 5.7341 images/s
[12/24 17:28:07] ppdet.engine INFO: Epoch: [1] [3350/3664] learning_rate: 0.060000 loss_cls: 0.315429 loss_reg: 0.401015 loss: 0.732573 eta: 14:11:47 batch_cost: 1.3909 data_cost: 0.0004 ips: 5.7518 images/s
[12/24 17:29:17] ppdet.engine INFO: Epoch: [1] [3400/3664] learning_rate: 0.060000 loss_cls: 0.270856 loss_reg: 0.311168 loss: 0.569137 eta: 14:10:40 batch_cost: 1.3892 data_cost: 0.0004 ips: 5.7589 images/s
[12/24 17:30:26] ppdet.engine INFO: Epoch: [1] [3450/3664] learning_rate: 0.060000 loss_cls: 0.293681 loss_reg: 0.369385 loss: 0.652521 eta: 14:09:30 batch_cost: 1.3786 data_cost: 0.0004 ips: 5.8029 images/s
[12/24 17:31:35] ppdet.engine INFO: Epoch: [1] [3500/3664] learning_rate: 0.060000 loss_cls: 0.325709 loss_reg: 0.398924 loss: 0.716861 eta: 14:08:20 batch_cost: 1.3812 data_cost: 0.0004 ips: 5.7920 images/s
[12/24 17:32:45] ppdet.engine INFO: Epoch: [1] [3550/3664] learning_rate: 0.060000 loss_cls: 0.309747 loss_reg: 0.377633 loss: 0.677941 eta: 14:07:14 batch_cost: 1.3946 data_cost: 0.0004 ips: 5.7364 images/s
[12/24 17:33:55] ppdet.engine INFO: Epoch: [1] [3600/3664] learning_rate: 0.060000 loss_cls: 0.326155 loss_reg: 0.393296 loss: 0.742649 eta: 14:06:04 batch_cost: 1.3798 data_cost: 0.0004 ips: 5.7978 images/s
[12/24 17:35:00] ppdet.engine INFO: Epoch: [1] [3650/3664] learning_rate: 0.060000 loss_cls: 0.284804 loss_reg: 0.342771 loss: 0.603279 eta: 14:04:33 batch_cost: 1.2988 data_cost: 0.0004 ips: 6.1596 images/s
[12/24 17:35:18] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/24 17:39:46] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.08s)
creating index...
index created!
[12/24 17:39:47] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.37s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=70.37s).
Accumulating evaluation results...
DONE (t=12.00s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.243
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.424
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.247
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.282
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.335
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.233
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.386
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.414
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.191
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.478
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.576
[12/24 17:41:17] ppdet.engine INFO: Total sample number: 4952, averge FPS: 19.2948770475276
[12/24 17:41:17] ppdet.engine INFO: Best test bbox ap is 0.243.
[12/24 17:41:20] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
[12/24 17:41:22] ppdet.engine INFO: Epoch: [2] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.297503 loss_reg: 0.356777 loss: 0.648161 eta: 14:03:42 batch_cost: 1.1895 data_cost: 0.0004 ips: 6.7254 images/s
[12/24 17:42:43] ppdet.engine INFO: Epoch: [2] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.336228 loss_reg: 0.396990 loss: 0.740533 eta: 14:03:30 batch_cost: 1.6140 data_cost: 0.0004 ips: 4.9566 images/s
[12/24 17:43:54] ppdet.engine INFO: Epoch: [2] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.308722 loss_reg: 0.381154 loss: 0.674051 eta: 14:02:29 batch_cost: 1.4135 data_cost: 0.0004 ips: 5.6598 images/s
[12/24 17:45:04] ppdet.engine INFO: Epoch: [2] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.323560 loss_reg: 0.418795 loss: 0.738663 eta: 14:01:23 batch_cost: 1.3998 data_cost: 0.0004 ips: 5.7151 images/s
[12/24 17:46:16] ppdet.engine INFO: Epoch: [2] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.342112 loss_reg: 0.421178 loss: 0.752425 eta: 14:00:28 batch_cost: 1.4397 data_cost: 0.0004 ips: 5.5568 images/s
[12/24 17:47:25] ppdet.engine INFO: Epoch: [2] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.301795 loss_reg: 0.368219 loss: 0.675024 eta: 13:59:18 batch_cost: 1.3829 data_cost: 0.0004 ips: 5.7848 images/s
[12/24 17:48:34] ppdet.engine INFO: Epoch: [2] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.323883 loss_reg: 0.356041 loss: 0.668890 eta: 13:58:11 batch_cost: 1.3899 data_cost: 0.0004 ips: 5.7559 images/s
[12/24 17:49:46] ppdet.engine INFO: Epoch: [2] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.283246 loss_reg: 0.320887 loss: 0.608898 eta: 13:57:11 batch_cost: 1.4236 data_cost: 0.0004 ips: 5.6194 images/s
[12/24 17:50:52] ppdet.engine INFO: Epoch: [2] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.323097 loss_reg: 0.410174 loss: 0.768569 eta: 13:55:50 batch_cost: 1.3335 data_cost: 0.0004 ips: 5.9995 images/s
[12/24 17:51:58] ppdet.engine INFO: Epoch: [2] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.270427 loss_reg: 0.364288 loss: 0.634392 eta: 13:54:23 batch_cost: 1.3085 data_cost: 0.0004 ips: 6.1137 images/s
[12/24 17:53:08] ppdet.engine INFO: Epoch: [2] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.289226 loss_reg: 0.352823 loss: 0.629002 eta: 13:53:18 batch_cost: 1.3997 data_cost: 0.0004 ips: 5.7156 images/s
[12/24 17:54:17] ppdet.engine INFO: Epoch: [2] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.325512 loss_reg: 0.393243 loss: 0.754502 eta: 13:52:09 batch_cost: 1.3871 data_cost: 0.0004 ips: 5.7673 images/s
[12/24 17:55:28] ppdet.engine INFO: Epoch: [2] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.305555 loss_reg: 0.416085 loss: 0.702779 eta: 13:51:07 batch_cost: 1.4135 data_cost: 0.0004 ips: 5.6598 images/s
[12/24 17:56:37] ppdet.engine INFO: Epoch: [2] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.344037 loss_reg: 0.408851 loss: 0.780869 eta: 13:49:57 batch_cost: 1.3793 data_cost: 0.0004 ips: 5.8002 images/s
[12/24 17:57:46] ppdet.engine INFO: Epoch: [2] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.339460 loss_reg: 0.400078 loss: 0.746051 eta: 13:48:46 batch_cost: 1.3757 data_cost: 0.0004 ips: 5.8154 images/s
[12/24 17:58:55] ppdet.engine INFO: Epoch: [2] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.307757 loss_reg: 0.366553 loss: 0.726736 eta: 13:47:36 batch_cost: 1.3793 data_cost: 0.0004 ips: 5.8001 images/s
[12/24 18:00:04] ppdet.engine INFO: Epoch: [2] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.361026 loss_reg: 0.383018 loss: 0.753514 eta: 13:46:28 batch_cost: 1.3904 data_cost: 0.0004 ips: 5.7538 images/s
[12/24 18:01:15] ppdet.engine INFO: Epoch: [2] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.304147 loss_reg: 0.395670 loss: 0.662979 eta: 13:45:23 batch_cost: 1.4007 data_cost: 0.0004 ips: 5.7113 images/s
[12/24 18:02:24] ppdet.engine INFO: Epoch: [2] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.312749 loss_reg: 0.395755 loss: 0.687729 eta: 13:44:14 batch_cost: 1.3852 data_cost: 0.0004 ips: 5.7753 images/s
[12/24 18:03:34] ppdet.engine INFO: Epoch: [2] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.288122 loss_reg: 0.358564 loss: 0.648986 eta: 13:43:08 batch_cost: 1.4011 data_cost: 0.0004 ips: 5.7097 images/s
[12/24 18:04:43] ppdet.engine INFO: Epoch: [2] [1000/3664] learning_rate: 0.060000 loss_cls: 0.297970 loss_reg: 0.357261 loss: 0.643453 eta: 13:41:58 batch_cost: 1.3767 data_cost: 0.0004 ips: 5.8112 images/s
[12/24 18:05:52] ppdet.engine INFO: Epoch: [2] [1050/3664] learning_rate: 0.060000 loss_cls: 0.298307 loss_reg: 0.382263 loss: 0.665844 eta: 13:40:49 batch_cost: 1.3853 data_cost: 0.0004 ips: 5.7749 images/s
[12/24 18:07:03] ppdet.engine INFO: Epoch: [2] [1100/3664] learning_rate: 0.060000 loss_cls: 0.316015 loss_reg: 0.424615 loss: 0.728952 eta: 13:39:44 batch_cost: 1.4057 data_cost: 0.0004 ips: 5.6910 images/s
[12/24 18:08:12] ppdet.engine INFO: Epoch: [2] [1150/3664] learning_rate: 0.060000 loss_cls: 0.290137 loss_reg: 0.334278 loss: 0.637917 eta: 13:38:37 batch_cost: 1.3926 data_cost: 0.0004 ips: 5.7446 images/s
[12/24 18:09:18] ppdet.engine INFO: Epoch: [2] [1200/3664] learning_rate: 0.060000 loss_cls: 0.293341 loss_reg: 0.350698 loss: 0.633672 eta: 13:37:10 batch_cost: 1.2998 data_cost: 0.0004 ips: 6.1549 images/s
[12/24 18:10:28] ppdet.engine INFO: Epoch: [2] [1250/3664] learning_rate: 0.060000 loss_cls: 0.290623 loss_reg: 0.330526 loss: 0.599352 eta: 13:36:05 batch_cost: 1.4019 data_cost: 0.0004 ips: 5.7064 images/s
[12/24 18:11:39] ppdet.engine INFO: Epoch: [2] [1300/3664] learning_rate: 0.060000 loss_cls: 0.312308 loss_reg: 0.425663 loss: 0.713778 eta: 13:35:01 batch_cost: 1.4104 data_cost: 0.0004 ips: 5.6720 images/s
[12/24 18:12:48] ppdet.engine INFO: Epoch: [2] [1350/3664] learning_rate: 0.060000 loss_cls: 0.301190 loss_reg: 0.371030 loss: 0.663827 eta: 13:33:49 batch_cost: 1.3713 data_cost: 0.0004 ips: 5.8338 images/s
[12/24 18:13:58] ppdet.engine INFO: Epoch: [2] [1400/3664] learning_rate: 0.060000 loss_cls: 0.293711 loss_reg: 0.417689 loss: 0.710162 eta: 13:32:44 batch_cost: 1.4013 data_cost: 0.0004 ips: 5.7091 images/s
[12/24 18:15:08] ppdet.engine INFO: Epoch: [2] [1450/3664] learning_rate: 0.060000 loss_cls: 0.323662 loss_reg: 0.356048 loss: 0.689165 eta: 13:31:36 batch_cost: 1.3930 data_cost: 0.0004 ips: 5.7431 images/s
[12/24 18:16:17] ppdet.engine INFO: Epoch: [2] [1500/3664] learning_rate: 0.060000 loss_cls: 0.296172 loss_reg: 0.387260 loss: 0.687671 eta: 13:30:28 batch_cost: 1.3872 data_cost: 0.0004 ips: 5.7670 images/s
[12/24 18:17:25] ppdet.engine INFO: Epoch: [2] [1550/3664] learning_rate: 0.060000 loss_cls: 0.298579 loss_reg: 0.350494 loss: 0.659698 eta: 13:29:15 batch_cost: 1.3650 data_cost: 0.0004 ips: 5.8609 images/s
[12/24 18:18:35] ppdet.engine INFO: Epoch: [2] [1600/3664] learning_rate: 0.060000 loss_cls: 0.325882 loss_reg: 0.383290 loss: 0.721718 eta: 13:28:08 batch_cost: 1.3936 data_cost: 0.0004 ips: 5.7406 images/s
[12/24 18:19:44] ppdet.engine INFO: Epoch: [2] [1650/3664] learning_rate: 0.060000 loss_cls: 0.293487 loss_reg: 0.364973 loss: 0.644648 eta: 13:26:57 batch_cost: 1.3749 data_cost: 0.0004 ips: 5.8186 images/s
[12/24 18:20:56] ppdet.engine INFO: Epoch: [2] [1700/3664] learning_rate: 0.060000 loss_cls: 0.318086 loss_reg: 0.417091 loss: 0.734095 eta: 13:25:57 batch_cost: 1.4327 data_cost: 0.0004 ips: 5.5839 images/s
[12/24 18:22:05] ppdet.engine INFO: Epoch: [2] [1750/3664] learning_rate: 0.060000 loss_cls: 0.323588 loss_reg: 0.375294 loss: 0.695201 eta: 13:24:47 batch_cost: 1.3815 data_cost: 0.0004 ips: 5.7910 images/s
[12/24 18:23:14] ppdet.engine INFO: Epoch: [2] [1800/3664] learning_rate: 0.060000 loss_cls: 0.291594 loss_reg: 0.365150 loss: 0.667637 eta: 13:23:36 batch_cost: 1.3757 data_cost: 0.0004 ips: 5.8151 images/s
[12/24 18:24:23] ppdet.engine INFO: Epoch: [2] [1850/3664] learning_rate: 0.060000 loss_cls: 0.258361 loss_reg: 0.320755 loss: 0.562846 eta: 13:22:27 batch_cost: 1.3836 data_cost: 0.0004 ips: 5.7822 images/s
[12/24 18:25:28] ppdet.engine INFO: Epoch: [2] [1900/3664] learning_rate: 0.060000 loss_cls: 0.317184 loss_reg: 0.390615 loss: 0.704242 eta: 13:21:04 batch_cost: 1.3107 data_cost: 0.0004 ips: 6.1037 images/s
[12/24 18:26:33] ppdet.engine INFO: Epoch: [2] [1950/3664] learning_rate: 0.060000 loss_cls: 0.312311 loss_reg: 0.367997 loss: 0.665218 eta: 13:19:39 batch_cost: 1.2960 data_cost: 0.0004 ips: 6.1730 images/s
[12/24 18:27:42] ppdet.engine INFO: Epoch: [2] [2000/3664] learning_rate: 0.060000 loss_cls: 0.292240 loss_reg: 0.391241 loss: 0.707260 eta: 13:18:27 batch_cost: 1.3708 data_cost: 0.0004 ips: 5.8359 images/s
[12/24 18:28:52] ppdet.engine INFO: Epoch: [2] [2050/3664] learning_rate: 0.060000 loss_cls: 0.310298 loss_reg: 0.334142 loss: 0.650678 eta: 13:17:21 batch_cost: 1.3999 data_cost: 0.0004 ips: 5.7145 images/s
[12/24 18:30:04] ppdet.engine INFO: Epoch: [2] [2100/3664] learning_rate: 0.060000 loss_cls: 0.320621 loss_reg: 0.386427 loss: 0.717744 eta: 13:16:23 batch_cost: 1.4443 data_cost: 0.0004 ips: 5.5391 images/s
[12/24 18:31:15] ppdet.engine INFO: Epoch: [2] [2150/3664] learning_rate: 0.060000 loss_cls: 0.311066 loss_reg: 0.379015 loss: 0.687739 eta: 13:15:19 batch_cost: 1.4108 data_cost: 0.0004 ips: 5.6706 images/s
[12/24 18:32:26] ppdet.engine INFO: Epoch: [2] [2200/3664] learning_rate: 0.060000 loss_cls: 0.293263 loss_reg: 0.324188 loss: 0.626627 eta: 13:14:18 batch_cost: 1.4295 data_cost: 0.0004 ips: 5.5965 images/s
[12/24 18:33:35] ppdet.engine INFO: Epoch: [2] [2250/3664] learning_rate: 0.060000 loss_cls: 0.293520 loss_reg: 0.323569 loss: 0.636309 eta: 13:13:06 batch_cost: 1.3651 data_cost: 0.0004 ips: 5.8605 images/s
[12/24 18:34:45] ppdet.engine INFO: Epoch: [2] [2300/3664] learning_rate: 0.060000 loss_cls: 0.316994 loss_reg: 0.361456 loss: 0.675409 eta: 13:11:59 batch_cost: 1.3994 data_cost: 0.0004 ips: 5.7166 images/s
[12/24 18:35:56] ppdet.engine INFO: Epoch: [2] [2350/3664] learning_rate: 0.060000 loss_cls: 0.298923 loss_reg: 0.417032 loss: 0.735046 eta: 13:10:56 batch_cost: 1.4167 data_cost: 0.0004 ips: 5.6470 images/s
[12/24 18:37:05] ppdet.engine INFO: Epoch: [2] [2400/3664] learning_rate: 0.060000 loss_cls: 0.316688 loss_reg: 0.379946 loss: 0.683949 eta: 13:09:47 batch_cost: 1.3876 data_cost: 0.0004 ips: 5.7653 images/s
[12/24 18:38:15] ppdet.engine INFO: Epoch: [2] [2450/3664] learning_rate: 0.060000 loss_cls: 0.303487 loss_reg: 0.332838 loss: 0.674458 eta: 13:08:40 batch_cost: 1.3934 data_cost: 0.0004 ips: 5.7412 images/s
[12/24 18:39:26] ppdet.engine INFO: Epoch: [2] [2500/3664] learning_rate: 0.060000 loss_cls: 0.297764 loss_reg: 0.363084 loss: 0.693795 eta: 13:07:34 batch_cost: 1.4022 data_cost: 0.0004 ips: 5.7054 images/s
[12/24 18:40:35] ppdet.engine INFO: Epoch: [2] [2550/3664] learning_rate: 0.060000 loss_cls: 0.314061 loss_reg: 0.404974 loss: 0.693938 eta: 13:06:23 batch_cost: 1.3746 data_cost: 0.0004 ips: 5.8198 images/s
[12/24 18:41:43] ppdet.engine INFO: Epoch: [2] [2600/3664] learning_rate: 0.060000 loss_cls: 0.317128 loss_reg: 0.395461 loss: 0.688573 eta: 13:05:11 batch_cost: 1.3710 data_cost: 0.0004 ips: 5.8354 images/s
[12/24 18:42:50] ppdet.engine INFO: Epoch: [2] [2650/3664] learning_rate: 0.060000 loss_cls: 0.297501 loss_reg: 0.342826 loss: 0.648294 eta: 13:03:51 batch_cost: 1.3174 data_cost: 0.0004 ips: 6.0725 images/s
[12/24 18:43:57] ppdet.engine INFO: Epoch: [2] [2700/3664] learning_rate: 0.060000 loss_cls: 0.313951 loss_reg: 0.356353 loss: 0.687628 eta: 13:02:36 batch_cost: 1.3505 data_cost: 0.0004 ips: 5.9236 images/s
[12/24 18:45:07] ppdet.engine INFO: Epoch: [2] [2750/3664] learning_rate: 0.060000 loss_cls: 0.325218 loss_reg: 0.382661 loss: 0.702134 eta: 13:01:29 batch_cost: 1.3950 data_cost: 0.0004 ips: 5.7347 images/s
[12/24 18:46:17] ppdet.engine INFO: Epoch: [2] [2800/3664] learning_rate: 0.060000 loss_cls: 0.290895 loss_reg: 0.336935 loss: 0.637659 eta: 13:00:22 batch_cost: 1.3992 data_cost: 0.0004 ips: 5.7175 images/s
[12/24 18:47:29] ppdet.engine INFO: Epoch: [2] [2850/3664] learning_rate: 0.060000 loss_cls: 0.290885 loss_reg: 0.316808 loss: 0.600456 eta: 12:59:21 batch_cost: 1.4306 data_cost: 0.0004 ips: 5.5921 images/s
[12/24 18:48:37] ppdet.engine INFO: Epoch: [2] [2900/3664] learning_rate: 0.060000 loss_cls: 0.304498 loss_reg: 0.349239 loss: 0.653490 eta: 12:58:08 batch_cost: 1.3625 data_cost: 0.0004 ips: 5.8716 images/s
[12/24 18:49:48] ppdet.engine INFO: Epoch: [2] [2950/3664] learning_rate: 0.060000 loss_cls: 0.307061 loss_reg: 0.356233 loss: 0.650409 eta: 12:57:02 batch_cost: 1.4023 data_cost: 0.0004 ips: 5.7050 images/s
[12/24 18:50:57] ppdet.engine INFO: Epoch: [2] [3000/3664] learning_rate: 0.060000 loss_cls: 0.320572 loss_reg: 0.418090 loss: 0.768399 eta: 12:55:54 batch_cost: 1.3911 data_cost: 0.0004 ips: 5.7510 images/s
[12/24 18:52:07] ppdet.engine INFO: Epoch: [2] [3050/3664] learning_rate: 0.060000 loss_cls: 0.316527 loss_reg: 0.404592 loss: 0.695855 eta: 12:54:44 batch_cost: 1.3819 data_cost: 0.0004 ips: 5.7892 images/s
[12/24 18:53:19] ppdet.engine INFO: Epoch: [2] [3100/3664] learning_rate: 0.060000 loss_cls: 0.309688 loss_reg: 0.383653 loss: 0.688751 eta: 12:53:43 batch_cost: 1.4318 data_cost: 0.0004 ips: 5.5874 images/s
[12/24 18:54:29] ppdet.engine INFO: Epoch: [2] [3150/3664] learning_rate: 0.060000 loss_cls: 0.295085 loss_reg: 0.372291 loss: 0.659319 eta: 12:52:36 batch_cost: 1.4004 data_cost: 0.0004 ips: 5.7125 images/s
[12/24 18:55:41] ppdet.engine INFO: Epoch: [2] [3200/3664] learning_rate: 0.060000 loss_cls: 0.275500 loss_reg: 0.352669 loss: 0.626146 eta: 12:51:37 batch_cost: 1.4482 data_cost: 0.0004 ips: 5.5240 images/s
[12/24 18:56:49] ppdet.engine INFO: Epoch: [2] [3250/3664] learning_rate: 0.060000 loss_cls: 0.313426 loss_reg: 0.386939 loss: 0.716700 eta: 12:50:23 batch_cost: 1.3491 data_cost: 0.0004 ips: 5.9299 images/s
[12/24 18:57:58] ppdet.engine INFO: Epoch: [2] [3300/3664] learning_rate: 0.060000 loss_cls: 0.300801 loss_reg: 0.366185 loss: 0.691085 eta: 12:49:12 batch_cost: 1.3781 data_cost: 0.0004 ips: 5.8049 images/s
[12/24 18:59:05] ppdet.engine INFO: Epoch: [2] [3350/3664] learning_rate: 0.060000 loss_cls: 0.294114 loss_reg: 0.405396 loss: 0.699299 eta: 12:47:59 batch_cost: 1.3551 data_cost: 0.0004 ips: 5.9035 images/s
[12/24 19:00:13] ppdet.engine INFO: Epoch: [2] [3400/3664] learning_rate: 0.060000 loss_cls: 0.291257 loss_reg: 0.349198 loss: 0.650724 eta: 12:46:43 batch_cost: 1.3459 data_cost: 0.0004 ips: 5.9438 images/s
[12/24 19:01:23] ppdet.engine INFO: Epoch: [2] [3450/3664] learning_rate: 0.060000 loss_cls: 0.291961 loss_reg: 0.367559 loss: 0.668680 eta: 12:45:36 batch_cost: 1.3951 data_cost: 0.0004 ips: 5.7343 images/s
[12/24 19:02:33] ppdet.engine INFO: Epoch: [2] [3500/3664] learning_rate: 0.060000 loss_cls: 0.306766 loss_reg: 0.379426 loss: 0.693025 eta: 12:44:29 batch_cost: 1.3989 data_cost: 0.0004 ips: 5.7188 images/s
[12/24 19:03:43] ppdet.engine INFO: Epoch: [2] [3550/3664] learning_rate: 0.060000 loss_cls: 0.290367 loss_reg: 0.396794 loss: 0.655116 eta: 12:43:22 batch_cost: 1.4006 data_cost: 0.0004 ips: 5.7118 images/s
[12/24 19:04:53] ppdet.engine INFO: Epoch: [2] [3600/3664] learning_rate: 0.060000 loss_cls: 0.339269 loss_reg: 0.391954 loss: 0.728171 eta: 12:42:15 batch_cost: 1.3963 data_cost: 0.0038 ips: 5.7295 images/s
[12/24 19:06:01] ppdet.engine INFO: Epoch: [2] [3650/3664] learning_rate: 0.060000 loss_cls: 0.311215 loss_reg: 0.384282 loss: 0.710241 eta: 12:41:03 batch_cost: 1.3656 data_cost: 0.0004 ips: 5.8583 images/s
[12/24 19:06:21] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/24 19:10:29] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.09s)
creating index...
index created!
[12/24 19:10:30] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.36s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=69.94s).
Accumulating evaluation results...
DONE (t=11.52s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.228
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.415
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.234
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.275
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.293
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.216
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.365
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.392
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.192
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.461
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.529
[12/24 19:11:59] ppdet.engine INFO: Total sample number: 4952, averge FPS: 20.933727308930273
[12/24 19:11:59] ppdet.engine INFO: Best test bbox ap is 0.243.
[12/24 19:12:01] ppdet.engine INFO: Epoch: [3] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.311456 loss_reg: 0.384545 loss: 0.712740 eta: 12:40:24 batch_cost: 1.2586 data_cost: 0.0004 ips: 6.3562 images/s
[12/24 19:13:20] ppdet.engine INFO: Epoch: [3] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.312657 loss_reg: 0.396318 loss: 0.688111 eta: 12:39:43 batch_cost: 1.5736 data_cost: 0.0004 ips: 5.0838 images/s
[12/24 19:14:28] ppdet.engine INFO: Epoch: [3] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.294492 loss_reg: 0.385494 loss: 0.693903 eta: 12:38:31 batch_cost: 1.3639 data_cost: 0.0004 ips: 5.8653 images/s
[12/24 19:15:37] ppdet.engine INFO: Epoch: [3] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.308402 loss_reg: 0.386919 loss: 0.714680 eta: 12:37:20 batch_cost: 1.3713 data_cost: 0.0004 ips: 5.8337 images/s
[12/24 19:16:44] ppdet.engine INFO: Epoch: [3] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.280752 loss_reg: 0.366159 loss: 0.652772 eta: 12:36:04 batch_cost: 1.3397 data_cost: 0.0004 ips: 5.9714 images/s
[12/24 19:17:52] ppdet.engine INFO: Epoch: [3] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.291997 loss_reg: 0.381519 loss: 0.652338 eta: 12:34:52 batch_cost: 1.3653 data_cost: 0.0004 ips: 5.8595 images/s
[12/24 19:19:03] ppdet.engine INFO: Epoch: [3] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.307297 loss_reg: 0.393943 loss: 0.689939 eta: 12:33:48 batch_cost: 1.4200 data_cost: 0.0004 ips: 5.6340 images/s
[12/24 19:20:12] ppdet.engine INFO: Epoch: [3] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.293700 loss_reg: 0.372518 loss: 0.673484 eta: 12:32:38 batch_cost: 1.3828 data_cost: 0.0004 ips: 5.7852 images/s
[12/24 19:21:21] ppdet.engine INFO: Epoch: [3] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.317269 loss_reg: 0.404918 loss: 0.741425 eta: 12:31:27 batch_cost: 1.3688 data_cost: 0.0004 ips: 5.8446 images/s
[12/24 19:22:33] ppdet.engine INFO: Epoch: [3] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.305067 loss_reg: 0.375420 loss: 0.688982 eta: 12:30:26 batch_cost: 1.4381 data_cost: 0.0004 ips: 5.5631 images/s
[12/24 19:23:41] ppdet.engine INFO: Epoch: [3] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.284275 loss_reg: 0.346354 loss: 0.614846 eta: 12:29:13 batch_cost: 1.3576 data_cost: 0.0004 ips: 5.8928 images/s
[12/24 19:24:51] ppdet.engine INFO: Epoch: [3] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.309884 loss_reg: 0.352827 loss: 0.685940 eta: 12:28:05 batch_cost: 1.3995 data_cost: 0.0004 ips: 5.7164 images/s
[12/24 19:26:01] ppdet.engine INFO: Epoch: [3] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.285513 loss_reg: 0.347014 loss: 0.629503 eta: 12:26:57 batch_cost: 1.3884 data_cost: 0.0004 ips: 5.7621 images/s
[12/24 19:27:10] ppdet.engine INFO: Epoch: [3] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.259260 loss_reg: 0.318418 loss: 0.613270 eta: 12:25:46 batch_cost: 1.3759 data_cost: 0.0004 ips: 5.8142 images/s
[12/24 19:28:20] ppdet.engine INFO: Epoch: [3] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.289948 loss_reg: 0.382238 loss: 0.644542 eta: 12:24:40 batch_cost: 1.4067 data_cost: 0.0004 ips: 5.6869 images/s
[12/24 19:29:30] ppdet.engine INFO: Epoch: [3] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.300156 loss_reg: 0.343485 loss: 0.650820 eta: 12:23:33 batch_cost: 1.4007 data_cost: 0.0004 ips: 5.7116 images/s
[12/24 19:30:42] ppdet.engine INFO: Epoch: [3] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.278021 loss_reg: 0.371552 loss: 0.664254 eta: 12:22:32 batch_cost: 1.4425 data_cost: 0.0004 ips: 5.5459 images/s
[12/24 19:31:52] ppdet.engine INFO: Epoch: [3] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.328922 loss_reg: 0.394617 loss: 0.745473 eta: 12:21:24 batch_cost: 1.3957 data_cost: 0.0004 ips: 5.7321 images/s
[12/24 19:32:58] ppdet.engine INFO: Epoch: [3] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.261660 loss_reg: 0.315304 loss: 0.580507 eta: 12:20:07 batch_cost: 1.3279 data_cost: 0.0004 ips: 6.0247 images/s
[12/24 19:34:05] ppdet.engine INFO: Epoch: [3] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.282924 loss_reg: 0.358113 loss: 0.645038 eta: 12:18:50 batch_cost: 1.3262 data_cost: 0.0004 ips: 6.0323 images/s
[12/24 19:35:14] ppdet.engine INFO: Epoch: [3] [1000/3664] learning_rate: 0.060000 loss_cls: 0.256138 loss_reg: 0.286812 loss: 0.558762 eta: 12:17:39 batch_cost: 1.3704 data_cost: 0.0004 ips: 5.8376 images/s
[12/24 19:36:26] ppdet.engine INFO: Epoch: [3] [1050/3664] learning_rate: 0.060000 loss_cls: 0.280088 loss_reg: 0.348249 loss: 0.642971 eta: 12:16:39 batch_cost: 1.4528 data_cost: 0.0055 ips: 5.5065 images/s
[12/24 19:37:37] ppdet.engine INFO: Epoch: [3] [1100/3664] learning_rate: 0.060000 loss_cls: 0.306307 loss_reg: 0.419980 loss: 0.740035 eta: 12:15:32 batch_cost: 1.4030 data_cost: 0.0041 ips: 5.7022 images/s
[12/24 19:38:46] ppdet.engine INFO: Epoch: [3] [1150/3664] learning_rate: 0.060000 loss_cls: 0.291661 loss_reg: 0.368886 loss: 0.650301 eta: 12:14:22 batch_cost: 1.3714 data_cost: 0.0004 ips: 5.8336 images/s
[12/24 19:39:57] ppdet.engine INFO: Epoch: [3] [1200/3664] learning_rate: 0.060000 loss_cls: 0.301514 loss_reg: 0.363237 loss: 0.653598 eta: 12:13:17 batch_cost: 1.4243 data_cost: 0.0006 ips: 5.6169 images/s
[12/24 19:41:07] ppdet.engine INFO: Epoch: [3] [1250/3664] learning_rate: 0.060000 loss_cls: 0.305112 loss_reg: 0.382558 loss: 0.674050 eta: 12:12:10 batch_cost: 1.3963 data_cost: 0.0004 ips: 5.7296 images/s
[12/24 19:42:18] ppdet.engine INFO: Epoch: [3] [1300/3664] learning_rate: 0.060000 loss_cls: 0.282688 loss_reg: 0.354460 loss: 0.644706 eta: 12:11:04 batch_cost: 1.4090 data_cost: 0.0004 ips: 5.6779 images/s
[12/24 19:43:26] ppdet.engine INFO: Epoch: [3] [1350/3664] learning_rate: 0.060000 loss_cls: 0.267074 loss_reg: 0.366659 loss: 0.647091 eta: 12:09:52 batch_cost: 1.3670 data_cost: 0.0004 ips: 5.8520 images/s
[12/24 19:44:36] ppdet.engine INFO: Epoch: [3] [1400/3664] learning_rate: 0.060000 loss_cls: 0.307659 loss_reg: 0.372360 loss: 0.673767 eta: 12:08:44 batch_cost: 1.3896 data_cost: 0.0004 ips: 5.7572 images/s
[12/24 19:45:47] ppdet.engine INFO: Epoch: [3] [1450/3664] learning_rate: 0.060000 loss_cls: 0.314712 loss_reg: 0.368843 loss: 0.707995 eta: 12:07:37 batch_cost: 1.4033 data_cost: 0.0004 ips: 5.7007 images/s
[12/24 19:46:56] ppdet.engine INFO: Epoch: [3] [1500/3664] learning_rate: 0.060000 loss_cls: 0.329508 loss_reg: 0.377006 loss: 0.709419 eta: 12:06:27 batch_cost: 1.3826 data_cost: 0.0004 ips: 5.7863 images/s
[12/24 19:48:08] ppdet.engine INFO: Epoch: [3] [1550/3664] learning_rate: 0.060000 loss_cls: 0.316651 loss_reg: 0.403914 loss: 0.733790 eta: 12:05:23 batch_cost: 1.4268 data_cost: 0.0009 ips: 5.6069 images/s
[12/24 19:49:16] ppdet.engine INFO: Epoch: [3] [1600/3664] learning_rate: 0.060000 loss_cls: 0.315448 loss_reg: 0.418502 loss: 0.711183 eta: 12:04:12 batch_cost: 1.3696 data_cost: 0.0004 ips: 5.8410 images/s
[12/24 19:50:23] ppdet.engine INFO: Epoch: [3] [1650/3664] learning_rate: 0.060000 loss_cls: 0.277946 loss_reg: 0.357132 loss: 0.650523 eta: 12:02:57 batch_cost: 1.3417 data_cost: 0.0004 ips: 5.9624 images/s
[12/24 19:51:31] ppdet.engine INFO: Epoch: [3] [1700/3664] learning_rate: 0.060000 loss_cls: 0.288712 loss_reg: 0.308631 loss: 0.593095 eta: 12:01:42 batch_cost: 1.3380 data_cost: 0.0004 ips: 5.9792 images/s
[12/24 19:52:41] ppdet.engine INFO: Epoch: [3] [1750/3664] learning_rate: 0.060000 loss_cls: 0.301843 loss_reg: 0.377893 loss: 0.680442 eta: 12:00:36 batch_cost: 1.4057 data_cost: 0.0004 ips: 5.6911 images/s
[12/24 19:53:51] ppdet.engine INFO: Epoch: [3] [1800/3664] learning_rate: 0.060000 loss_cls: 0.292492 loss_reg: 0.356187 loss: 0.639404 eta: 11:59:27 batch_cost: 1.3897 data_cost: 0.0004 ips: 5.7566 images/s
[12/24 19:55:00] ppdet.engine INFO: Epoch: [3] [1850/3664] learning_rate: 0.060000 loss_cls: 0.301543 loss_reg: 0.390531 loss: 0.727512 eta: 11:58:17 batch_cost: 1.3785 data_cost: 0.0004 ips: 5.8035 images/s
[12/24 19:56:12] ppdet.engine INFO: Epoch: [3] [1900/3664] learning_rate: 0.060000 loss_cls: 0.299321 loss_reg: 0.368820 loss: 0.676178 eta: 11:57:16 batch_cost: 1.4478 data_cost: 0.0004 ips: 5.5256 images/s
[12/24 19:57:23] ppdet.engine INFO: Epoch: [3] [1950/3664] learning_rate: 0.060000 loss_cls: 0.312803 loss_reg: 0.381374 loss: 0.701261 eta: 11:56:10 batch_cost: 1.4138 data_cost: 0.0004 ips: 5.6587 images/s
[12/24 19:58:30] ppdet.engine INFO: Epoch: [3] [2000/3664] learning_rate: 0.060000 loss_cls: 0.287608 loss_reg: 0.368526 loss: 0.638473 eta: 11:54:55 batch_cost: 1.3362 data_cost: 0.0004 ips: 5.9873 images/s
[12/24 19:59:40] ppdet.engine INFO: Epoch: [3] [2050/3664] learning_rate: 0.060000 loss_cls: 0.323236 loss_reg: 0.395453 loss: 0.733804 eta: 11:53:47 batch_cost: 1.4005 data_cost: 0.0004 ips: 5.7122 images/s
[12/24 20:00:50] ppdet.engine INFO: Epoch: [3] [2100/3664] learning_rate: 0.060000 loss_cls: 0.293570 loss_reg: 0.363595 loss: 0.673439 eta: 11:52:39 batch_cost: 1.3934 data_cost: 0.0004 ips: 5.7413 images/s
[12/24 20:01:59] ppdet.engine INFO: Epoch: [3] [2150/3664] learning_rate: 0.060000 loss_cls: 0.307869 loss_reg: 0.372992 loss: 0.686333 eta: 11:51:28 batch_cost: 1.3679 data_cost: 0.0004 ips: 5.8483 images/s
[12/24 20:03:10] ppdet.engine INFO: Epoch: [3] [2200/3664] learning_rate: 0.060000 loss_cls: 0.298233 loss_reg: 0.352715 loss: 0.661289 eta: 11:50:23 batch_cost: 1.4234 data_cost: 0.0004 ips: 5.6202 images/s
[12/24 20:04:21] ppdet.engine INFO: Epoch: [3] [2250/3664] learning_rate: 0.060000 loss_cls: 0.292761 loss_reg: 0.357868 loss: 0.646383 eta: 11:49:17 batch_cost: 1.4136 data_cost: 0.0004 ips: 5.6593 images/s
[12/24 20:05:30] ppdet.engine INFO: Epoch: [3] [2300/3664] learning_rate: 0.060000 loss_cls: 0.303825 loss_reg: 0.390696 loss: 0.670249 eta: 11:48:09 batch_cost: 1.3959 data_cost: 0.0004 ips: 5.7309 images/s
[12/24 20:06:38] ppdet.engine INFO: Epoch: [3] [2350/3664] learning_rate: 0.060000 loss_cls: 0.298659 loss_reg: 0.338951 loss: 0.637107 eta: 11:46:56 batch_cost: 1.3462 data_cost: 0.0004 ips: 5.9425 images/s
[12/24 20:07:43] ppdet.engine INFO: Epoch: [3] [2400/3664] learning_rate: 0.060000 loss_cls: 0.261358 loss_reg: 0.358073 loss: 0.597315 eta: 11:45:36 batch_cost: 1.2939 data_cost: 0.0004 ips: 6.1830 images/s
[12/24 20:08:51] ppdet.engine INFO: Epoch: [3] [2450/3664] learning_rate: 0.060000 loss_cls: 0.322837 loss_reg: 0.406216 loss: 0.729947 eta: 11:44:26 batch_cost: 1.3759 data_cost: 0.0004 ips: 5.8144 images/s
[12/24 20:10:02] ppdet.engine INFO: Epoch: [3] [2500/3664] learning_rate: 0.060000 loss_cls: 0.296111 loss_reg: 0.381475 loss: 0.676934 eta: 11:43:19 batch_cost: 1.4117 data_cost: 0.0004 ips: 5.6668 images/s
[12/24 20:11:12] ppdet.engine INFO: Epoch: [3] [2550/3664] learning_rate: 0.060000 loss_cls: 0.272871 loss_reg: 0.328824 loss: 0.645387 eta: 11:42:10 batch_cost: 1.3795 data_cost: 0.0004 ips: 5.7993 images/s
[12/24 20:12:22] ppdet.engine INFO: Epoch: [3] [2600/3664] learning_rate: 0.060000 loss_cls: 0.312918 loss_reg: 0.361694 loss: 0.681410 eta: 11:41:02 batch_cost: 1.3987 data_cost: 0.0004 ips: 5.7197 images/s
[12/24 20:13:30] ppdet.engine INFO: Epoch: [3] [2650/3664] learning_rate: 0.060000 loss_cls: 0.270769 loss_reg: 0.328719 loss: 0.648005 eta: 11:39:48 batch_cost: 1.3418 data_cost: 0.0004 ips: 5.9623 images/s
[12/24 20:14:40] ppdet.engine INFO: Epoch: [3] [2700/3664] learning_rate: 0.060000 loss_cls: 0.323787 loss_reg: 0.398108 loss: 0.715320 eta: 11:38:42 batch_cost: 1.4158 data_cost: 0.0004 ips: 5.6503 images/s
[12/24 20:15:50] ppdet.engine INFO: Epoch: [3] [2750/3664] learning_rate: 0.060000 loss_cls: 0.326305 loss_reg: 0.417935 loss: 0.752570 eta: 11:37:33 batch_cost: 1.3850 data_cost: 0.0004 ips: 5.7761 images/s
[12/24 20:17:00] ppdet.engine INFO: Epoch: [3] [2800/3664] learning_rate: 0.060000 loss_cls: 0.296456 loss_reg: 0.400302 loss: 0.684268 eta: 11:36:26 batch_cost: 1.4049 data_cost: 0.0004 ips: 5.6942 images/s
[12/24 20:18:11] ppdet.engine INFO: Epoch: [3] [2850/3664] learning_rate: 0.060000 loss_cls: 0.308553 loss_reg: 0.345700 loss: 0.659564 eta: 11:35:20 batch_cost: 1.4191 data_cost: 0.0004 ips: 5.6374 images/s
[12/24 20:19:22] ppdet.engine INFO: Epoch: [3] [2900/3664] learning_rate: 0.060000 loss_cls: 0.269710 loss_reg: 0.343276 loss: 0.623646 eta: 11:34:15 batch_cost: 1.4159 data_cost: 0.0004 ips: 5.6499 images/s
[12/24 20:20:30] ppdet.engine INFO: Epoch: [3] [2950/3664] learning_rate: 0.060000 loss_cls: 0.297778 loss_reg: 0.356560 loss: 0.643665 eta: 11:33:03 batch_cost: 1.3615 data_cost: 0.0004 ips: 5.8760 images/s
[12/24 20:21:40] ppdet.engine INFO: Epoch: [3] [3000/3664] learning_rate: 0.060000 loss_cls: 0.301717 loss_reg: 0.399427 loss: 0.692443 eta: 11:31:55 batch_cost: 1.3971 data_cost: 0.0004 ips: 5.7261 images/s
[12/24 20:22:51] ppdet.engine INFO: Epoch: [3] [3050/3664] learning_rate: 0.060000 loss_cls: 0.298440 loss_reg: 0.361564 loss: 0.659929 eta: 11:30:50 batch_cost: 1.4263 data_cost: 0.0004 ips: 5.6088 images/s
[12/24 20:23:55] ppdet.engine INFO: Epoch: [3] [3100/3664] learning_rate: 0.060000 loss_cls: 0.317688 loss_reg: 0.349566 loss: 0.704759 eta: 11:29:30 batch_cost: 1.2825 data_cost: 0.0004 ips: 6.2380 images/s
[12/24 20:25:01] ppdet.engine INFO: Epoch: [3] [3150/3664] learning_rate: 0.060000 loss_cls: 0.305774 loss_reg: 0.387518 loss: 0.703779 eta: 11:28:11 batch_cost: 1.2923 data_cost: 0.0004 ips: 6.1904 images/s
[12/24 20:26:11] ppdet.engine INFO: Epoch: [3] [3200/3664] learning_rate: 0.060000 loss_cls: 0.313622 loss_reg: 0.371139 loss: 0.669060 eta: 11:27:04 batch_cost: 1.4025 data_cost: 0.0004 ips: 5.7043 images/s
[12/24 20:27:20] ppdet.engine INFO: Epoch: [3] [3250/3664] learning_rate: 0.060000 loss_cls: 0.298160 loss_reg: 0.390519 loss: 0.677548 eta: 11:25:54 batch_cost: 1.3836 data_cost: 0.0004 ips: 5.7822 images/s
[12/24 20:28:30] ppdet.engine INFO: Epoch: [3] [3300/3664] learning_rate: 0.060000 loss_cls: 0.300505 loss_reg: 0.367317 loss: 0.707744 eta: 11:24:46 batch_cost: 1.3907 data_cost: 0.0004 ips: 5.7525 images/s
[12/24 20:29:38] ppdet.engine INFO: Epoch: [3] [3350/3664] learning_rate: 0.060000 loss_cls: 0.318057 loss_reg: 0.397719 loss: 0.697169 eta: 11:23:34 batch_cost: 1.3571 data_cost: 0.0004 ips: 5.8950 images/s
[12/24 20:30:48] ppdet.engine INFO: Epoch: [3] [3400/3664] learning_rate: 0.060000 loss_cls: 0.304457 loss_reg: 0.398707 loss: 0.694834 eta: 11:22:26 batch_cost: 1.3968 data_cost: 0.0004 ips: 5.7274 images/s
[12/24 20:31:57] ppdet.engine INFO: Epoch: [3] [3450/3664] learning_rate: 0.060000 loss_cls: 0.254093 loss_reg: 0.279258 loss: 0.529639 eta: 11:21:16 batch_cost: 1.3810 data_cost: 0.0004 ips: 5.7927 images/s
[12/24 20:33:06] ppdet.engine INFO: Epoch: [3] [3500/3664] learning_rate: 0.060000 loss_cls: 0.305477 loss_reg: 0.361612 loss: 0.659126 eta: 11:20:07 batch_cost: 1.3872 data_cost: 0.0004 ips: 5.7670 images/s
[12/24 20:34:18] ppdet.engine INFO: Epoch: [3] [3550/3664] learning_rate: 0.060000 loss_cls: 0.310544 loss_reg: 0.355532 loss: 0.652631 eta: 11:19:03 batch_cost: 1.4305 data_cost: 0.0004 ips: 5.5925 images/s
[12/24 20:35:29] ppdet.engine INFO: Epoch: [3] [3600/3664] learning_rate: 0.060000 loss_cls: 0.295483 loss_reg: 0.378163 loss: 0.700384 eta: 11:17:57 batch_cost: 1.4220 data_cost: 0.0026 ips: 5.6258 images/s
[12/24 20:36:38] ppdet.engine INFO: Epoch: [3] [3650/3664] learning_rate: 0.060000 loss_cls: 0.282592 loss_reg: 0.308037 loss: 0.607984 eta: 11:16:46 batch_cost: 1.3700 data_cost: 0.0038 ips: 5.8396 images/s
[12/24 20:36:56] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/24 20:41:40] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.60s)
creating index...
index created!
[12/24 20:41:41] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=6.01s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=68.34s).
Accumulating evaluation results...
DONE (t=12.28s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.258
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.444
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.269
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.130
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.284
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.362
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.241
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.394
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.423
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.206
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.484
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.589
[12/24 20:43:10] ppdet.engine INFO: Total sample number: 4952, averge FPS: 18.109539233727766
[12/24 20:43:10] ppdet.engine INFO: Best test bbox ap is 0.258.
[12/24 20:43:12] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
[12/24 20:43:15] ppdet.engine INFO: Epoch: [4] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.261673 loss_reg: 0.321236 loss: 0.596302 eta: 11:16:15 batch_cost: 1.2486 data_cost: 0.0038 ips: 6.4072 images/s
[12/24 20:44:35] ppdet.engine INFO: Epoch: [4] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.291679 loss_reg: 0.361028 loss: 0.653928 eta: 11:15:26 batch_cost: 1.5892 data_cost: 0.0004 ips: 5.0340 images/s
[12/24 20:45:44] ppdet.engine INFO: Epoch: [4] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.277489 loss_reg: 0.341147 loss: 0.622306 eta: 11:14:16 batch_cost: 1.3806 data_cost: 0.0004 ips: 5.7946 images/s
[12/24 20:46:52] ppdet.engine INFO: Epoch: [4] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.275219 loss_reg: 0.360192 loss: 0.654793 eta: 11:13:04 batch_cost: 1.3512 data_cost: 0.0004 ips: 5.9206 images/s
[12/24 20:48:01] ppdet.engine INFO: Epoch: [4] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.268990 loss_reg: 0.356728 loss: 0.617703 eta: 11:11:54 batch_cost: 1.3802 data_cost: 0.0005 ips: 5.7963 images/s
[12/24 20:49:12] ppdet.engine INFO: Epoch: [4] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.297508 loss_reg: 0.345424 loss: 0.657147 eta: 11:10:49 batch_cost: 1.4241 data_cost: 0.0004 ips: 5.6174 images/s
[12/24 20:50:23] ppdet.engine INFO: Epoch: [4] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.268452 loss_reg: 0.370570 loss: 0.642675 eta: 11:09:42 batch_cost: 1.4133 data_cost: 0.0004 ips: 5.6604 images/s
[12/24 20:51:32] ppdet.engine INFO: Epoch: [4] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.266419 loss_reg: 0.363277 loss: 0.649691 eta: 11:08:33 batch_cost: 1.3834 data_cost: 0.0004 ips: 5.7828 images/s
[12/24 20:52:42] ppdet.engine INFO: Epoch: [4] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.308794 loss_reg: 0.379619 loss: 0.700976 eta: 11:07:23 batch_cost: 1.3805 data_cost: 0.0004 ips: 5.7951 images/s
[12/24 20:53:53] ppdet.engine INFO: Epoch: [4] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.300396 loss_reg: 0.400670 loss: 0.730203 eta: 11:06:17 batch_cost: 1.4185 data_cost: 0.0004 ips: 5.6398 images/s
[12/24 20:55:03] ppdet.engine INFO: Epoch: [4] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.293962 loss_reg: 0.342190 loss: 0.672794 eta: 11:05:11 batch_cost: 1.4178 data_cost: 0.0004 ips: 5.6424 images/s
[12/24 20:56:14] ppdet.engine INFO: Epoch: [4] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.292356 loss_reg: 0.363419 loss: 0.634274 eta: 11:04:04 batch_cost: 1.4077 data_cost: 0.0004 ips: 5.6831 images/s
[12/24 20:57:22] ppdet.engine INFO: Epoch: [4] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.276358 loss_reg: 0.311062 loss: 0.568532 eta: 11:02:52 batch_cost: 1.3576 data_cost: 0.0004 ips: 5.8928 images/s
[12/24 20:58:26] ppdet.engine INFO: Epoch: [4] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.290932 loss_reg: 0.351115 loss: 0.623735 eta: 11:01:33 batch_cost: 1.2818 data_cost: 0.0004 ips: 6.2412 images/s
[12/24 20:59:35] ppdet.engine INFO: Epoch: [4] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.273994 loss_reg: 0.331565 loss: 0.624348 eta: 11:00:22 batch_cost: 1.3702 data_cost: 0.0004 ips: 5.8387 images/s
[12/24 21:00:43] ppdet.engine INFO: Epoch: [4] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.269958 loss_reg: 0.311834 loss: 0.571211 eta: 10:59:12 batch_cost: 1.3734 data_cost: 0.0027 ips: 5.8251 images/s
[12/24 21:01:53] ppdet.engine INFO: Epoch: [4] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.289702 loss_reg: 0.361236 loss: 0.680327 eta: 10:58:04 batch_cost: 1.3968 data_cost: 0.0004 ips: 5.7274 images/s
[12/24 21:03:04] ppdet.engine INFO: Epoch: [4] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.312624 loss_reg: 0.420952 loss: 0.741603 eta: 10:56:57 batch_cost: 1.4084 data_cost: 0.0004 ips: 5.6804 images/s
[12/24 21:04:14] ppdet.engine INFO: Epoch: [4] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.258274 loss_reg: 0.318057 loss: 0.572955 eta: 10:55:48 batch_cost: 1.3878 data_cost: 0.0004 ips: 5.7643 images/s
[12/24 21:05:23] ppdet.engine INFO: Epoch: [4] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.285985 loss_reg: 0.383676 loss: 0.686829 eta: 10:54:38 batch_cost: 1.3766 data_cost: 0.0004 ips: 5.8116 images/s
[12/24 21:06:32] ppdet.engine INFO: Epoch: [4] [1000/3664] learning_rate: 0.060000 loss_cls: 0.262858 loss_reg: 0.339916 loss: 0.642426 eta: 10:53:25 batch_cost: 1.3456 data_cost: 0.0004 ips: 5.9454 images/s
[12/24 21:07:40] ppdet.engine INFO: Epoch: [4] [1050/3664] learning_rate: 0.060000 loss_cls: 0.286035 loss_reg: 0.352604 loss: 0.643885 eta: 10:52:15 batch_cost: 1.3736 data_cost: 0.0004 ips: 5.8240 images/s
[12/24 21:08:50] ppdet.engine INFO: Epoch: [4] [1100/3664] learning_rate: 0.060000 loss_cls: 0.270871 loss_reg: 0.331080 loss: 0.611844 eta: 10:51:06 batch_cost: 1.3883 data_cost: 0.0004 ips: 5.7625 images/s
[12/24 21:10:00] ppdet.engine INFO: Epoch: [4] [1150/3664] learning_rate: 0.060000 loss_cls: 0.274364 loss_reg: 0.368407 loss: 0.632277 eta: 10:49:58 batch_cost: 1.3965 data_cost: 0.0004 ips: 5.7287 images/s
[12/24 21:11:10] ppdet.engine INFO: Epoch: [4] [1200/3664] learning_rate: 0.060000 loss_cls: 0.293303 loss_reg: 0.363524 loss: 0.650979 eta: 10:48:50 batch_cost: 1.3976 data_cost: 0.0004 ips: 5.7242 images/s
[12/24 21:12:20] ppdet.engine INFO: Epoch: [4] [1250/3664] learning_rate: 0.060000 loss_cls: 0.269576 loss_reg: 0.356998 loss: 0.633684 eta: 10:47:42 batch_cost: 1.4005 data_cost: 0.0004 ips: 5.7122 images/s
[12/24 21:13:28] ppdet.engine INFO: Epoch: [4] [1300/3664] learning_rate: 0.060000 loss_cls: 0.281973 loss_reg: 0.349822 loss: 0.640248 eta: 10:46:31 batch_cost: 1.3713 data_cost: 0.0004 ips: 5.8338 images/s
[12/24 21:14:36] ppdet.engine INFO: Epoch: [4] [1350/3664] learning_rate: 0.060000 loss_cls: 0.310588 loss_reg: 0.356093 loss: 0.705795 eta: 10:45:19 batch_cost: 1.3493 data_cost: 0.0004 ips: 5.9289 images/s
[12/24 21:15:40] ppdet.engine INFO: Epoch: [4] [1400/3664] learning_rate: 0.060000 loss_cls: 0.295183 loss_reg: 0.406850 loss: 0.699984 eta: 10:44:01 batch_cost: 1.2853 data_cost: 0.0004 ips: 6.2245 images/s
[12/24 21:16:49] ppdet.engine INFO: Epoch: [4] [1450/3664] learning_rate: 0.060000 loss_cls: 0.283202 loss_reg: 0.368053 loss: 0.682781 eta: 10:42:51 batch_cost: 1.3784 data_cost: 0.0004 ips: 5.8038 images/s
[12/24 21:17:59] ppdet.engine INFO: Epoch: [4] [1500/3664] learning_rate: 0.060000 loss_cls: 0.283363 loss_reg: 0.347928 loss: 0.633810 eta: 10:41:43 batch_cost: 1.3929 data_cost: 0.0004 ips: 5.7434 images/s
[12/24 21:19:10] ppdet.engine INFO: Epoch: [4] [1550/3664] learning_rate: 0.060000 loss_cls: 0.292834 loss_reg: 0.364974 loss: 0.642161 eta: 10:40:36 batch_cost: 1.4124 data_cost: 0.0004 ips: 5.6643 images/s
[12/24 21:20:18] ppdet.engine INFO: Epoch: [4] [1600/3664] learning_rate: 0.060000 loss_cls: 0.260424 loss_reg: 0.362147 loss: 0.609213 eta: 10:39:25 batch_cost: 1.3663 data_cost: 0.0004 ips: 5.8552 images/s
[12/24 21:21:29] ppdet.engine INFO: Epoch: [4] [1650/3664] learning_rate: 0.060000 loss_cls: 0.285343 loss_reg: 0.365220 loss: 0.688679 eta: 10:38:19 batch_cost: 1.4188 data_cost: 0.0004 ips: 5.6384 images/s
[12/24 21:22:39] ppdet.engine INFO: Epoch: [4] [1700/3664] learning_rate: 0.060000 loss_cls: 0.294941 loss_reg: 0.365171 loss: 0.639355 eta: 10:37:12 batch_cost: 1.4055 data_cost: 0.0004 ips: 5.6918 images/s
[12/24 21:23:50] ppdet.engine INFO: Epoch: [4] [1750/3664] learning_rate: 0.060000 loss_cls: 0.306810 loss_reg: 0.408369 loss: 0.755176 eta: 10:36:05 batch_cost: 1.4139 data_cost: 0.0004 ips: 5.6582 images/s
[12/24 21:25:01] ppdet.engine INFO: Epoch: [4] [1800/3664] learning_rate: 0.060000 loss_cls: 0.319161 loss_reg: 0.383082 loss: 0.707091 eta: 10:34:58 batch_cost: 1.4105 data_cost: 0.0004 ips: 5.6718 images/s
[12/24 21:26:11] ppdet.engine INFO: Epoch: [4] [1850/3664] learning_rate: 0.060000 loss_cls: 0.291182 loss_reg: 0.352238 loss: 0.665961 eta: 10:33:50 batch_cost: 1.4018 data_cost: 0.0004 ips: 5.7071 images/s
[12/24 21:27:21] ppdet.engine INFO: Epoch: [4] [1900/3664] learning_rate: 0.060000 loss_cls: 0.284988 loss_reg: 0.329109 loss: 0.626732 eta: 10:32:42 batch_cost: 1.4045 data_cost: 0.0004 ips: 5.6961 images/s
[12/24 21:28:31] ppdet.engine INFO: Epoch: [4] [1950/3664] learning_rate: 0.060000 loss_cls: 0.265318 loss_reg: 0.333906 loss: 0.568368 eta: 10:31:33 batch_cost: 1.3843 data_cost: 0.0004 ips: 5.7793 images/s
[12/24 21:29:39] ppdet.engine INFO: Epoch: [4] [2000/3664] learning_rate: 0.060000 loss_cls: 0.269525 loss_reg: 0.350160 loss: 0.621511 eta: 10:30:23 batch_cost: 1.3701 data_cost: 0.0004 ips: 5.8391 images/s
[12/24 21:30:49] ppdet.engine INFO: Epoch: [4] [2050/3664] learning_rate: 0.060000 loss_cls: 0.288770 loss_reg: 0.369668 loss: 0.661999 eta: 10:29:15 batch_cost: 1.4016 data_cost: 0.0004 ips: 5.7077 images/s
[12/24 21:31:57] ppdet.engine INFO: Epoch: [4] [2100/3664] learning_rate: 0.060000 loss_cls: 0.261927 loss_reg: 0.317437 loss: 0.570037 eta: 10:28:03 batch_cost: 1.3555 data_cost: 0.0004 ips: 5.9018 images/s
[12/24 21:33:03] ppdet.engine INFO: Epoch: [4] [2150/3664] learning_rate: 0.060000 loss_cls: 0.291663 loss_reg: 0.362064 loss: 0.685034 eta: 10:26:47 batch_cost: 1.2950 data_cost: 0.0004 ips: 6.1776 images/s
[12/24 21:34:12] ppdet.engine INFO: Epoch: [4] [2200/3664] learning_rate: 0.060000 loss_cls: 0.285502 loss_reg: 0.343063 loss: 0.643800 eta: 10:25:38 batch_cost: 1.3950 data_cost: 0.0004 ips: 5.7349 images/s
[12/24 21:35:22] ppdet.engine INFO: Epoch: [4] [2250/3664] learning_rate: 0.060000 loss_cls: 0.274975 loss_reg: 0.336438 loss: 0.623183 eta: 10:24:28 batch_cost: 1.3785 data_cost: 0.0004 ips: 5.8033 images/s
[12/24 21:36:33] ppdet.engine INFO: Epoch: [4] [2300/3664] learning_rate: 0.060000 loss_cls: 0.288586 loss_reg: 0.352049 loss: 0.645980 eta: 10:23:22 batch_cost: 1.4220 data_cost: 0.0004 ips: 5.6260 images/s
[12/24 21:37:42] ppdet.engine INFO: Epoch: [4] [2350/3664] learning_rate: 0.060000 loss_cls: 0.311826 loss_reg: 0.368968 loss: 0.684709 eta: 10:22:12 batch_cost: 1.3791 data_cost: 0.0004 ips: 5.8009 images/s
[12/24 21:38:51] ppdet.engine INFO: Epoch: [4] [2400/3664] learning_rate: 0.060000 loss_cls: 0.291831 loss_reg: 0.366707 loss: 0.675996 eta: 10:21:04 batch_cost: 1.3884 data_cost: 0.0004 ips: 5.7621 images/s
[12/24 21:40:01] ppdet.engine INFO: Epoch: [4] [2450/3664] learning_rate: 0.060000 loss_cls: 0.292314 loss_reg: 0.362617 loss: 0.687027 eta: 10:19:55 batch_cost: 1.3919 data_cost: 0.0004 ips: 5.7477 images/s
[12/24 21:41:14] ppdet.engine INFO: Epoch: [4] [2500/3664] learning_rate: 0.060000 loss_cls: 0.277467 loss_reg: 0.333679 loss: 0.604257 eta: 10:18:51 batch_cost: 1.4562 data_cost: 0.0004 ips: 5.4938 images/s
[12/24 21:42:25] ppdet.engine INFO: Epoch: [4] [2550/3664] learning_rate: 0.060000 loss_cls: 0.282881 loss_reg: 0.351868 loss: 0.622487 eta: 10:17:45 batch_cost: 1.4241 data_cost: 0.0004 ips: 5.6176 images/s
[12/24 21:43:34] ppdet.engine INFO: Epoch: [4] [2600/3664] learning_rate: 0.060000 loss_cls: 0.273775 loss_reg: 0.347838 loss: 0.635052 eta: 10:16:35 batch_cost: 1.3748 data_cost: 0.0012 ips: 5.8192 images/s
[12/24 21:44:47] ppdet.engine INFO: Epoch: [4] [2650/3664] learning_rate: 0.060000 loss_cls: 0.281895 loss_reg: 0.343578 loss: 0.638968 eta: 10:15:32 batch_cost: 1.4600 data_cost: 0.0004 ips: 5.4796 images/s
[12/24 21:45:56] ppdet.engine INFO: Epoch: [4] [2700/3664] learning_rate: 0.060000 loss_cls: 0.254215 loss_reg: 0.325991 loss: 0.576910 eta: 10:14:22 batch_cost: 1.3786 data_cost: 0.0004 ips: 5.8030 images/s
[12/24 21:47:06] ppdet.engine INFO: Epoch: [4] [2750/3664] learning_rate: 0.060000 loss_cls: 0.295951 loss_reg: 0.355284 loss: 0.649758 eta: 10:13:13 batch_cost: 1.3935 data_cost: 0.0004 ips: 5.7410 images/s
[12/24 21:48:17] ppdet.engine INFO: Epoch: [4] [2800/3664] learning_rate: 0.060000 loss_cls: 0.273632 loss_reg: 0.387330 loss: 0.666145 eta: 10:12:07 batch_cost: 1.4216 data_cost: 0.0004 ips: 5.6276 images/s
[12/24 21:49:23] ppdet.engine INFO: Epoch: [4] [2850/3664] learning_rate: 0.060000 loss_cls: 0.268427 loss_reg: 0.343739 loss: 0.617739 eta: 10:10:52 batch_cost: 1.3148 data_cost: 0.0004 ips: 6.0844 images/s
[12/24 21:50:30] ppdet.engine INFO: Epoch: [4] [2900/3664] learning_rate: 0.060000 loss_cls: 0.279191 loss_reg: 0.355415 loss: 0.624373 eta: 10:09:39 batch_cost: 1.3357 data_cost: 0.0004 ips: 5.9894 images/s
[12/24 21:51:39] ppdet.engine INFO: Epoch: [4] [2950/3664] learning_rate: 0.060000 loss_cls: 0.288367 loss_reg: 0.344233 loss: 0.618126 eta: 10:08:28 batch_cost: 1.3602 data_cost: 0.0004 ips: 5.8813 images/s
[12/24 21:52:49] ppdet.engine INFO: Epoch: [4] [3000/3664] learning_rate: 0.060000 loss_cls: 0.315744 loss_reg: 0.367478 loss: 0.704915 eta: 10:07:20 batch_cost: 1.3970 data_cost: 0.0004 ips: 5.7267 images/s
[12/24 21:54:00] ppdet.engine INFO: Epoch: [4] [3050/3664] learning_rate: 0.060000 loss_cls: 0.282531 loss_reg: 0.356334 loss: 0.626741 eta: 10:06:13 batch_cost: 1.4190 data_cost: 0.0004 ips: 5.6379 images/s
[12/24 21:55:10] ppdet.engine INFO: Epoch: [4] [3100/3664] learning_rate: 0.060000 loss_cls: 0.307915 loss_reg: 0.366321 loss: 0.654090 eta: 10:05:05 batch_cost: 1.3985 data_cost: 0.0004 ips: 5.7203 images/s
[12/24 21:56:19] ppdet.engine INFO: Epoch: [4] [3150/3664] learning_rate: 0.060000 loss_cls: 0.262840 loss_reg: 0.350242 loss: 0.605942 eta: 10:03:56 batch_cost: 1.3903 data_cost: 0.0004 ips: 5.7543 images/s
[12/24 21:57:29] ppdet.engine INFO: Epoch: [4] [3200/3664] learning_rate: 0.060000 loss_cls: 0.267657 loss_reg: 0.369116 loss: 0.629944 eta: 10:02:48 batch_cost: 1.4011 data_cost: 0.0004 ips: 5.7097 images/s
[12/24 21:58:40] ppdet.engine INFO: Epoch: [4] [3250/3664] learning_rate: 0.060000 loss_cls: 0.293961 loss_reg: 0.372002 loss: 0.658571 eta: 10:01:40 batch_cost: 1.4051 data_cost: 0.0004 ips: 5.6933 images/s
[12/24 21:59:49] ppdet.engine INFO: Epoch: [4] [3300/3664] learning_rate: 0.060000 loss_cls: 0.278792 loss_reg: 0.361597 loss: 0.655276 eta: 10:00:31 batch_cost: 1.3836 data_cost: 0.0004 ips: 5.7820 images/s
[12/24 22:00:59] ppdet.engine INFO: Epoch: [4] [3350/3664] learning_rate: 0.060000 loss_cls: 0.269577 loss_reg: 0.334866 loss: 0.598959 eta: 9:59:23 batch_cost: 1.4078 data_cost: 0.0004 ips: 5.6827 images/s
[12/24 22:02:11] ppdet.engine INFO: Epoch: [4] [3400/3664] learning_rate: 0.060000 loss_cls: 0.279178 loss_reg: 0.363706 loss: 0.651216 eta: 9:58:17 batch_cost: 1.4258 data_cost: 0.0004 ips: 5.6110 images/s
[12/24 22:03:21] ppdet.engine INFO: Epoch: [4] [3450/3664] learning_rate: 0.060000 loss_cls: 0.291908 loss_reg: 0.361949 loss: 0.670712 eta: 9:57:08 batch_cost: 1.3968 data_cost: 0.0004 ips: 5.7272 images/s
[12/24 22:04:32] ppdet.engine INFO: Epoch: [4] [3500/3664] learning_rate: 0.060000 loss_cls: 0.295988 loss_reg: 0.382493 loss: 0.671772 eta: 9:56:02 batch_cost: 1.4344 data_cost: 0.0034 ips: 5.5771 images/s
[12/24 22:05:42] ppdet.engine INFO: Epoch: [4] [3550/3664] learning_rate: 0.060000 loss_cls: 0.292072 loss_reg: 0.372438 loss: 0.680015 eta: 9:54:54 batch_cost: 1.3978 data_cost: 0.0004 ips: 5.7234 images/s
[12/24 22:06:49] ppdet.engine INFO: Epoch: [4] [3600/3664] learning_rate: 0.060000 loss_cls: 0.290747 loss_reg: 0.366940 loss: 0.644372 eta: 9:53:41 batch_cost: 1.3368 data_cost: 0.0004 ips: 5.9845 images/s
[12/24 22:07:56] ppdet.engine INFO: Epoch: [4] [3650/3664] learning_rate: 0.060000 loss_cls: 0.296630 loss_reg: 0.366262 loss: 0.648343 eta: 9:52:27 batch_cost: 1.3192 data_cost: 0.0004 ips: 6.0645 images/s
[12/24 22:08:16] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/24 22:13:20] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.20s)
creating index...
index created!
[12/24 22:13:21] 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=68.03s).
Accumulating evaluation results...
DONE (t=12.03s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.247
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.430
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.258
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.128
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.288
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.328
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.235
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.385
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.416
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.205
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 ] = 0.569
[12/24 22:14:48] ppdet.engine INFO: Total sample number: 4952, averge FPS: 17.00992258165117
[12/24 22:14:48] ppdet.engine INFO: Best test bbox ap is 0.258.
[12/24 22:14:50] ppdet.engine INFO: Epoch: [5] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.265285 loss_reg: 0.358353 loss: 0.626704 eta: 9:51:59 batch_cost: 1.2157 data_cost: 0.0004 ips: 6.5808 images/s
[12/24 22:16:13] ppdet.engine INFO: Epoch: [5] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.310153 loss_reg: 0.369970 loss: 0.677212 eta: 9:51:09 batch_cost: 1.6535 data_cost: 0.0004 ips: 4.8383 images/s
[12/24 22:17:22] ppdet.engine INFO: Epoch: [5] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.271941 loss_reg: 0.319348 loss: 0.639617 eta: 9:49:59 batch_cost: 1.3723 data_cost: 0.0004 ips: 5.8296 images/s
[12/24 22:18:30] ppdet.engine INFO: Epoch: [5] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.272709 loss_reg: 0.348911 loss: 0.594591 eta: 9:48:48 batch_cost: 1.3712 data_cost: 0.0004 ips: 5.8343 images/s
[12/24 22:19:40] ppdet.engine INFO: Epoch: [5] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.273926 loss_reg: 0.343427 loss: 0.620963 eta: 9:47:40 batch_cost: 1.3936 data_cost: 0.0036 ips: 5.7407 images/s
[12/24 22:20:49] ppdet.engine INFO: Epoch: [5] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.288761 loss_reg: 0.349739 loss: 0.632639 eta: 9:46:29 batch_cost: 1.3714 data_cost: 0.0004 ips: 5.8336 images/s
[12/24 22:21:58] ppdet.engine INFO: Epoch: [5] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.283481 loss_reg: 0.340426 loss: 0.641000 eta: 9:45:20 batch_cost: 1.3838 data_cost: 0.0004 ips: 5.7810 images/s
[12/24 22:23:05] ppdet.engine INFO: Epoch: [5] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.294207 loss_reg: 0.328379 loss: 0.632062 eta: 9:44:07 batch_cost: 1.3278 data_cost: 0.0004 ips: 6.0249 images/s
[12/24 22:24:12] ppdet.engine INFO: Epoch: [5] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.273431 loss_reg: 0.369111 loss: 0.619369 eta: 9:42:55 batch_cost: 1.3467 data_cost: 0.0004 ips: 5.9405 images/s
[12/24 22:25:20] ppdet.engine INFO: Epoch: [5] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.273597 loss_reg: 0.340021 loss: 0.635245 eta: 9:41:43 batch_cost: 1.3492 data_cost: 0.0004 ips: 5.9296 images/s
[12/24 22:26:30] ppdet.engine INFO: Epoch: [5] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.273449 loss_reg: 0.354612 loss: 0.637622 eta: 9:40:35 batch_cost: 1.3944 data_cost: 0.0004 ips: 5.7370 images/s
[12/24 22:27:40] ppdet.engine INFO: Epoch: [5] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.273855 loss_reg: 0.321676 loss: 0.584750 eta: 9:39:27 batch_cost: 1.4062 data_cost: 0.0004 ips: 5.6890 images/s
[12/24 22:28:49] ppdet.engine INFO: Epoch: [5] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.288605 loss_reg: 0.346758 loss: 0.627913 eta: 9:38:18 batch_cost: 1.3845 data_cost: 0.0004 ips: 5.7782 images/s
[12/24 22:30:00] ppdet.engine INFO: Epoch: [5] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.279413 loss_reg: 0.386925 loss: 0.635113 eta: 9:37:10 batch_cost: 1.4073 data_cost: 0.0004 ips: 5.6848 images/s
[12/24 22:31:10] ppdet.engine INFO: Epoch: [5] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.279591 loss_reg: 0.351908 loss: 0.613055 eta: 9:36:02 batch_cost: 1.4095 data_cost: 0.0004 ips: 5.6756 images/s
[12/24 22:32:21] ppdet.engine INFO: Epoch: [5] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.286218 loss_reg: 0.357289 loss: 0.646940 eta: 9:34:54 batch_cost: 1.4100 data_cost: 0.0004 ips: 5.6736 images/s
[12/24 22:33:31] ppdet.engine INFO: Epoch: [5] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.301790 loss_reg: 0.358571 loss: 0.649598 eta: 9:33:47 batch_cost: 1.4077 data_cost: 0.0004 ips: 5.6829 images/s
[12/24 22:34:41] ppdet.engine INFO: Epoch: [5] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.279927 loss_reg: 0.340814 loss: 0.614248 eta: 9:32:38 batch_cost: 1.3999 data_cost: 0.0004 ips: 5.7145 images/s
[12/24 22:35:50] ppdet.engine INFO: Epoch: [5] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.276241 loss_reg: 0.367619 loss: 0.651612 eta: 9:31:28 batch_cost: 1.3737 data_cost: 0.0004 ips: 5.8237 images/s
[12/24 22:36:59] ppdet.engine INFO: Epoch: [5] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.263798 loss_reg: 0.329045 loss: 0.585662 eta: 9:30:18 batch_cost: 1.3761 data_cost: 0.0004 ips: 5.8137 images/s
[12/24 22:38:08] ppdet.engine INFO: Epoch: [5] [1000/3664] learning_rate: 0.060000 loss_cls: 0.264832 loss_reg: 0.319124 loss: 0.587687 eta: 9:29:08 batch_cost: 1.3755 data_cost: 0.0004 ips: 5.8160 images/s
[12/24 22:39:17] ppdet.engine INFO: Epoch: [5] [1050/3664] learning_rate: 0.060000 loss_cls: 0.315627 loss_reg: 0.392916 loss: 0.712327 eta: 9:27:59 batch_cost: 1.3847 data_cost: 0.0004 ips: 5.7773 images/s
[12/24 22:40:23] ppdet.engine INFO: Epoch: [5] [1100/3664] learning_rate: 0.060000 loss_cls: 0.301710 loss_reg: 0.339837 loss: 0.626266 eta: 9:26:45 batch_cost: 1.3157 data_cost: 0.0004 ips: 6.0804 images/s
[12/24 22:41:29] ppdet.engine INFO: Epoch: [5] [1150/3664] learning_rate: 0.060000 loss_cls: 0.303294 loss_reg: 0.354699 loss: 0.627541 eta: 9:25:32 batch_cost: 1.3190 data_cost: 0.0004 ips: 6.0651 images/s
[12/24 22:42:39] ppdet.engine INFO: Epoch: [5] [1200/3664] learning_rate: 0.060000 loss_cls: 0.261593 loss_reg: 0.340640 loss: 0.592924 eta: 9:24:24 batch_cost: 1.4010 data_cost: 0.0004 ips: 5.7103 images/s
[12/24 22:43:50] ppdet.engine INFO: Epoch: [5] [1250/3664] learning_rate: 0.060000 loss_cls: 0.258067 loss_reg: 0.301744 loss: 0.559622 eta: 9:23:16 batch_cost: 1.4172 data_cost: 0.0004 ips: 5.6448 images/s
[12/24 22:45:02] ppdet.engine INFO: Epoch: [5] [1300/3664] learning_rate: 0.060000 loss_cls: 0.286153 loss_reg: 0.318469 loss: 0.619267 eta: 9:22:10 batch_cost: 1.4322 data_cost: 0.0004 ips: 5.5856 images/s
[12/24 22:46:13] ppdet.engine INFO: Epoch: [5] [1350/3664] learning_rate: 0.060000 loss_cls: 0.295153 loss_reg: 0.363816 loss: 0.649521 eta: 9:21:03 batch_cost: 1.4245 data_cost: 0.0004 ips: 5.6158 images/s
[12/24 22:47:25] ppdet.engine INFO: Epoch: [5] [1400/3664] learning_rate: 0.060000 loss_cls: 0.298063 loss_reg: 0.366484 loss: 0.673761 eta: 9:19:56 batch_cost: 1.4206 data_cost: 0.0004 ips: 5.6313 images/s
[12/24 22:48:36] ppdet.engine INFO: Epoch: [5] [1450/3664] learning_rate: 0.060000 loss_cls: 0.258897 loss_reg: 0.318458 loss: 0.543196 eta: 9:18:49 batch_cost: 1.4248 data_cost: 0.0004 ips: 5.6147 images/s
[12/24 22:49:45] ppdet.engine INFO: Epoch: [5] [1500/3664] learning_rate: 0.060000 loss_cls: 0.304334 loss_reg: 0.379073 loss: 0.705571 eta: 9:17:39 batch_cost: 1.3666 data_cost: 0.0004 ips: 5.8541 images/s
[12/24 22:50:55] ppdet.engine INFO: Epoch: [5] [1550/3664] learning_rate: 0.060000 loss_cls: 0.269680 loss_reg: 0.365351 loss: 0.642892 eta: 9:16:30 batch_cost: 1.3937 data_cost: 0.0004 ips: 5.7403 images/s
[12/24 22:52:03] ppdet.engine INFO: Epoch: [5] [1600/3664] learning_rate: 0.060000 loss_cls: 0.308609 loss_reg: 0.377734 loss: 0.667184 eta: 9:15:20 batch_cost: 1.3662 data_cost: 0.0004 ips: 5.8559 images/s
[12/24 22:53:13] ppdet.engine INFO: Epoch: [5] [1650/3664] learning_rate: 0.060000 loss_cls: 0.290227 loss_reg: 0.362180 loss: 0.652839 eta: 9:14:11 batch_cost: 1.3994 data_cost: 0.0004 ips: 5.7169 images/s
[12/24 22:54:23] ppdet.engine INFO: Epoch: [5] [1700/3664] learning_rate: 0.060000 loss_cls: 0.256842 loss_reg: 0.338949 loss: 0.573994 eta: 9:13:02 batch_cost: 1.3916 data_cost: 0.0004 ips: 5.7488 images/s
[12/24 22:55:32] ppdet.engine INFO: Epoch: [5] [1750/3664] learning_rate: 0.060000 loss_cls: 0.291692 loss_reg: 0.353406 loss: 0.654590 eta: 9:11:53 batch_cost: 1.3954 data_cost: 0.0004 ips: 5.7333 images/s
[12/24 22:56:41] ppdet.engine INFO: Epoch: [5] [1800/3664] learning_rate: 0.060000 loss_cls: 0.274156 loss_reg: 0.353595 loss: 0.658538 eta: 9:10:43 batch_cost: 1.3734 data_cost: 0.0004 ips: 5.8250 images/s
[12/24 22:57:47] ppdet.engine INFO: Epoch: [5] [1850/3664] learning_rate: 0.060000 loss_cls: 0.275785 loss_reg: 0.307595 loss: 0.595070 eta: 9:09:30 batch_cost: 1.3207 data_cost: 0.0004 ips: 6.0575 images/s
[12/24 22:58:54] ppdet.engine INFO: Epoch: [5] [1900/3664] learning_rate: 0.060000 loss_cls: 0.273742 loss_reg: 0.347933 loss: 0.617814 eta: 9:08:18 batch_cost: 1.3309 data_cost: 0.0004 ips: 6.0112 images/s
[12/24 23:00:04] ppdet.engine INFO: Epoch: [5] [1950/3664] learning_rate: 0.060000 loss_cls: 0.300106 loss_reg: 0.351829 loss: 0.682042 eta: 9:07:10 batch_cost: 1.4007 data_cost: 0.0004 ips: 5.7115 images/s
[12/24 23:01:15] ppdet.engine INFO: Epoch: [5] [2000/3664] learning_rate: 0.060000 loss_cls: 0.271171 loss_reg: 0.331683 loss: 0.597850 eta: 9:06:02 batch_cost: 1.4189 data_cost: 0.0004 ips: 5.6380 images/s
[12/24 23:02:27] ppdet.engine INFO: Epoch: [5] [2050/3664] learning_rate: 0.060000 loss_cls: 0.285913 loss_reg: 0.372160 loss: 0.658340 eta: 9:04:56 batch_cost: 1.4320 data_cost: 0.0004 ips: 5.5864 images/s
[12/24 23:03:36] ppdet.engine INFO: Epoch: [5] [2100/3664] learning_rate: 0.060000 loss_cls: 0.296772 loss_reg: 0.387230 loss: 0.679506 eta: 9:03:46 batch_cost: 1.3752 data_cost: 0.0004 ips: 5.8174 images/s
[12/24 23:04:45] ppdet.engine INFO: Epoch: [5] [2150/3664] learning_rate: 0.060000 loss_cls: 0.257007 loss_reg: 0.320210 loss: 0.586517 eta: 9:02:37 batch_cost: 1.3887 data_cost: 0.0004 ips: 5.7608 images/s
[12/24 23:05:56] ppdet.engine INFO: Epoch: [5] [2200/3664] learning_rate: 0.060000 loss_cls: 0.285507 loss_reg: 0.382291 loss: 0.673186 eta: 9:01:29 batch_cost: 1.4174 data_cost: 0.0004 ips: 5.6443 images/s
[12/24 23:07:06] ppdet.engine INFO: Epoch: [5] [2250/3664] learning_rate: 0.060000 loss_cls: 0.269290 loss_reg: 0.324217 loss: 0.587180 eta: 9:00:19 batch_cost: 1.3781 data_cost: 0.0004 ips: 5.8051 images/s
[12/24 23:08:17] ppdet.engine INFO: Epoch: [5] [2300/3664] learning_rate: 0.060000 loss_cls: 0.256374 loss_reg: 0.326770 loss: 0.595292 eta: 8:59:12 batch_cost: 1.4226 data_cost: 0.0004 ips: 5.6236 images/s
[12/24 23:09:26] ppdet.engine INFO: Epoch: [5] [2350/3664] learning_rate: 0.060000 loss_cls: 0.269491 loss_reg: 0.328829 loss: 0.595176 eta: 8:58:03 batch_cost: 1.3880 data_cost: 0.0004 ips: 5.7635 images/s
[12/24 23:10:39] ppdet.engine INFO: Epoch: [5] [2400/3664] learning_rate: 0.060000 loss_cls: 0.263070 loss_reg: 0.336498 loss: 0.597533 eta: 8:56:58 batch_cost: 1.4529 data_cost: 0.0004 ips: 5.5061 images/s
[12/24 23:11:49] ppdet.engine INFO: Epoch: [5] [2450/3664] learning_rate: 0.060000 loss_cls: 0.295981 loss_reg: 0.373962 loss: 0.658133 eta: 8:55:49 batch_cost: 1.3924 data_cost: 0.0004 ips: 5.7455 images/s
[12/24 23:12:58] ppdet.engine INFO: Epoch: [5] [2500/3664] learning_rate: 0.060000 loss_cls: 0.270413 loss_reg: 0.352725 loss: 0.630478 eta: 8:54:40 batch_cost: 1.3912 data_cost: 0.0004 ips: 5.7505 images/s
[12/24 23:14:07] ppdet.engine INFO: Epoch: [5] [2550/3664] learning_rate: 0.060000 loss_cls: 0.271623 loss_reg: 0.340549 loss: 0.621868 eta: 8:53:30 batch_cost: 1.3757 data_cost: 0.0008 ips: 5.8153 images/s
[12/24 23:15:13] ppdet.engine INFO: Epoch: [5] [2600/3664] learning_rate: 0.060000 loss_cls: 0.273519 loss_reg: 0.320984 loss: 0.618169 eta: 8:52:17 batch_cost: 1.3125 data_cost: 0.0004 ips: 6.0954 images/s
[12/24 23:16:22] ppdet.engine INFO: Epoch: [5] [2650/3664] learning_rate: 0.060000 loss_cls: 0.260764 loss_reg: 0.328276 loss: 0.584220 eta: 8:51:07 batch_cost: 1.3723 data_cost: 0.0004 ips: 5.8298 images/s
[12/24 23:17:32] ppdet.engine INFO: Epoch: [5] [2700/3664] learning_rate: 0.060000 loss_cls: 0.290739 loss_reg: 0.375629 loss: 0.689294 eta: 8:49:59 batch_cost: 1.4168 data_cost: 0.0004 ips: 5.6464 images/s
[12/24 23:18:43] ppdet.engine INFO: Epoch: [5] [2750/3664] learning_rate: 0.060000 loss_cls: 0.284316 loss_reg: 0.358095 loss: 0.630349 eta: 8:48:51 batch_cost: 1.4134 data_cost: 0.0004 ips: 5.6600 images/s
[12/24 23:19:51] ppdet.engine INFO: Epoch: [5] [2800/3664] learning_rate: 0.060000 loss_cls: 0.286830 loss_reg: 0.361929 loss: 0.654896 eta: 8:47:40 batch_cost: 1.3598 data_cost: 0.0004 ips: 5.8830 images/s
[12/24 23:21:01] ppdet.engine INFO: Epoch: [5] [2850/3664] learning_rate: 0.060000 loss_cls: 0.310390 loss_reg: 0.363247 loss: 0.666393 eta: 8:46:32 batch_cost: 1.3956 data_cost: 0.0004 ips: 5.7325 images/s
[12/24 23:22:12] ppdet.engine INFO: Epoch: [5] [2900/3664] learning_rate: 0.060000 loss_cls: 0.300960 loss_reg: 0.373196 loss: 0.695490 eta: 8:45:23 batch_cost: 1.3996 data_cost: 0.0004 ips: 5.7159 images/s
[12/24 23:23:23] ppdet.engine INFO: Epoch: [5] [2950/3664] learning_rate: 0.060000 loss_cls: 0.250960 loss_reg: 0.323390 loss: 0.575662 eta: 8:44:16 batch_cost: 1.4189 data_cost: 0.0004 ips: 5.6383 images/s
[12/24 23:24:33] ppdet.engine INFO: Epoch: [5] [3000/3664] learning_rate: 0.060000 loss_cls: 0.289447 loss_reg: 0.349159 loss: 0.653007 eta: 8:43:07 batch_cost: 1.4074 data_cost: 0.0004 ips: 5.6843 images/s
[12/24 23:25:45] ppdet.engine INFO: Epoch: [5] [3050/3664] learning_rate: 0.060000 loss_cls: 0.302265 loss_reg: 0.367675 loss: 0.665157 eta: 8:42:01 batch_cost: 1.4436 data_cost: 0.0004 ips: 5.5418 images/s
[12/24 23:26:54] ppdet.engine INFO: Epoch: [5] [3100/3664] learning_rate: 0.060000 loss_cls: 0.304775 loss_reg: 0.379697 loss: 0.688109 eta: 8:40:51 batch_cost: 1.3738 data_cost: 0.0004 ips: 5.8234 images/s
[12/24 23:28:02] ppdet.engine INFO: Epoch: [5] [3150/3664] learning_rate: 0.060000 loss_cls: 0.301987 loss_reg: 0.355913 loss: 0.661963 eta: 8:39:41 batch_cost: 1.3582 data_cost: 0.0004 ips: 5.8900 images/s
[12/24 23:29:14] ppdet.engine INFO: Epoch: [5] [3200/3664] learning_rate: 0.060000 loss_cls: 0.287398 loss_reg: 0.340818 loss: 0.636201 eta: 8:38:34 batch_cost: 1.4389 data_cost: 0.0004 ips: 5.5598 images/s
[12/24 23:30:24] ppdet.engine INFO: Epoch: [5] [3250/3664] learning_rate: 0.060000 loss_cls: 0.272000 loss_reg: 0.344936 loss: 0.614743 eta: 8:37:25 batch_cost: 1.3992 data_cost: 0.0004 ips: 5.7177 images/s
[12/24 23:31:30] ppdet.engine INFO: Epoch: [5] [3300/3664] learning_rate: 0.060000 loss_cls: 0.302157 loss_reg: 0.376245 loss: 0.677705 eta: 8:36:13 batch_cost: 1.3283 data_cost: 0.0004 ips: 6.0229 images/s
[12/24 23:32:36] ppdet.engine INFO: Epoch: [5] [3350/3664] learning_rate: 0.060000 loss_cls: 0.282293 loss_reg: 0.330649 loss: 0.626425 eta: 8:35:00 batch_cost: 1.3068 data_cost: 0.0004 ips: 6.1219 images/s
[12/24 23:33:46] ppdet.engine INFO: Epoch: [5] [3400/3664] learning_rate: 0.060000 loss_cls: 0.313584 loss_reg: 0.362097 loss: 0.692697 eta: 8:33:51 batch_cost: 1.4062 data_cost: 0.0004 ips: 5.6890 images/s
[12/24 23:34:57] ppdet.engine INFO: Epoch: [5] [3450/3664] learning_rate: 0.060000 loss_cls: 0.265231 loss_reg: 0.316368 loss: 0.593686 eta: 8:32:44 batch_cost: 1.4129 data_cost: 0.0005 ips: 5.6623 images/s
[12/24 23:36:07] ppdet.engine INFO: Epoch: [5] [3500/3664] learning_rate: 0.060000 loss_cls: 0.292631 loss_reg: 0.372735 loss: 0.668055 eta: 8:31:35 batch_cost: 1.3954 data_cost: 0.0004 ips: 5.7332 images/s
[12/24 23:37:18] ppdet.engine INFO: Epoch: [5] [3550/3664] learning_rate: 0.060000 loss_cls: 0.267330 loss_reg: 0.345039 loss: 0.610498 eta: 8:30:27 batch_cost: 1.4256 data_cost: 0.0004 ips: 5.6116 images/s
[12/24 23:38:30] ppdet.engine INFO: Epoch: [5] [3600/3664] learning_rate: 0.060000 loss_cls: 0.257377 loss_reg: 0.305582 loss: 0.556049 eta: 8:29:20 batch_cost: 1.4222 data_cost: 0.0004 ips: 5.6250 images/s
[12/24 23:39:37] ppdet.engine INFO: Epoch: [5] [3650/3664] learning_rate: 0.060000 loss_cls: 0.264155 loss_reg: 0.337730 loss: 0.610677 eta: 8:28:09 batch_cost: 1.3532 data_cost: 0.0004 ips: 5.9120 images/s
[12/24 23:39:56] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/24 23:44:23] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=1.07s)
creating index...
index created!
[12/24 23:44:25] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.30s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=70.84s).
Accumulating evaluation results...
DONE (t=11.45s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.276
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.461
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.292
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.126
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.314
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.377
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 ] = 0.413
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.443
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.211
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 ] = 0.620
[12/24 23:45:54] ppdet.engine INFO: Total sample number: 4952, averge FPS: 19.333001435547157
[12/24 23:45:54] ppdet.engine INFO: Best test bbox ap is 0.276.
[12/24 23:45:57] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
[12/24 23:46:00] ppdet.engine INFO: Epoch: [6] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.281117 loss_reg: 0.336742 loss: 0.649886 eta: 8:27:44 batch_cost: 1.2310 data_cost: 0.0004 ips: 6.4986 images/s
[12/24 23:47:21] ppdet.engine INFO: Epoch: [6] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.272225 loss_reg: 0.311735 loss: 0.592189 eta: 8:26:46 batch_cost: 1.6168 data_cost: 0.0004 ips: 4.9479 images/s
[12/24 23:48:27] ppdet.engine INFO: Epoch: [6] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.316854 loss_reg: 0.416175 loss: 0.737675 eta: 8:25:34 batch_cost: 1.3263 data_cost: 0.0004 ips: 6.0319 images/s
[12/24 23:49:32] ppdet.engine INFO: Epoch: [6] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.293584 loss_reg: 0.400994 loss: 0.694566 eta: 8:24:20 batch_cost: 1.2977 data_cost: 0.0004 ips: 6.1647 images/s
[12/24 23:50:43] ppdet.engine INFO: Epoch: [6] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.245452 loss_reg: 0.320093 loss: 0.558205 eta: 8:23:12 batch_cost: 1.4171 data_cost: 0.0004 ips: 5.6454 images/s
[12/24 23:51:52] ppdet.engine INFO: Epoch: [6] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.268194 loss_reg: 0.366989 loss: 0.631216 eta: 8:22:03 batch_cost: 1.3855 data_cost: 0.0040 ips: 5.7740 images/s
[12/24 23:53:03] ppdet.engine INFO: Epoch: [6] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.251662 loss_reg: 0.314488 loss: 0.579654 eta: 8:20:54 batch_cost: 1.4050 data_cost: 0.0004 ips: 5.6938 images/s
[12/24 23:54:14] ppdet.engine INFO: Epoch: [6] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.269272 loss_reg: 0.353591 loss: 0.621222 eta: 8:19:47 batch_cost: 1.4254 data_cost: 0.0004 ips: 5.6123 images/s
[12/24 23:55:24] ppdet.engine INFO: Epoch: [6] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.261049 loss_reg: 0.306022 loss: 0.584972 eta: 8:18:39 batch_cost: 1.4088 data_cost: 0.0004 ips: 5.6786 images/s
[12/24 23:56:35] ppdet.engine INFO: Epoch: [6] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.280603 loss_reg: 0.408180 loss: 0.686311 eta: 8:17:30 batch_cost: 1.4071 data_cost: 0.0005 ips: 5.6854 images/s
[12/24 23:57:46] ppdet.engine INFO: Epoch: [6] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.269640 loss_reg: 0.341885 loss: 0.612007 eta: 8:16:22 batch_cost: 1.4038 data_cost: 0.0004 ips: 5.6989 images/s
[12/24 23:58:55] ppdet.engine INFO: Epoch: [6] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.274733 loss_reg: 0.332197 loss: 0.595778 eta: 8:15:13 batch_cost: 1.3834 data_cost: 0.0004 ips: 5.7829 images/s
[12/25 00:00:04] ppdet.engine INFO: Epoch: [6] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.286859 loss_reg: 0.342799 loss: 0.626656 eta: 8:14:02 batch_cost: 1.3698 data_cost: 0.0004 ips: 5.8401 images/s
[12/25 00:01:15] ppdet.engine INFO: Epoch: [6] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.278938 loss_reg: 0.329088 loss: 0.594269 eta: 8:12:54 batch_cost: 1.4047 data_cost: 0.0004 ips: 5.6952 images/s
[12/25 00:02:24] ppdet.engine INFO: Epoch: [6] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.279762 loss_reg: 0.362482 loss: 0.644617 eta: 8:11:45 batch_cost: 1.3875 data_cost: 0.0004 ips: 5.7656 images/s
[12/25 00:03:35] ppdet.engine INFO: Epoch: [6] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.288735 loss_reg: 0.377227 loss: 0.671822 eta: 8:10:37 batch_cost: 1.4277 data_cost: 0.0004 ips: 5.6035 images/s
[12/25 00:04:44] ppdet.engine INFO: Epoch: [6] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.295291 loss_reg: 0.353883 loss: 0.675214 eta: 8:09:27 batch_cost: 1.3713 data_cost: 0.0004 ips: 5.8338 images/s
[12/25 00:05:49] ppdet.engine INFO: Epoch: [6] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.300771 loss_reg: 0.357444 loss: 0.653039 eta: 8:08:14 batch_cost: 1.2914 data_cost: 0.0004 ips: 6.1947 images/s
[12/25 00:06:55] ppdet.engine INFO: Epoch: [6] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.267399 loss_reg: 0.343631 loss: 0.620996 eta: 8:07:01 batch_cost: 1.3033 data_cost: 0.0004 ips: 6.1383 images/s
[12/25 00:08:04] ppdet.engine INFO: Epoch: [6] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.275730 loss_reg: 0.360235 loss: 0.649034 eta: 8:05:50 batch_cost: 1.3681 data_cost: 0.0004 ips: 5.8476 images/s
[12/25 00:09:15] ppdet.engine INFO: Epoch: [6] [1000/3664] learning_rate: 0.060000 loss_cls: 0.281112 loss_reg: 0.330492 loss: 0.599058 eta: 8:04:43 batch_cost: 1.4195 data_cost: 0.0038 ips: 5.6358 images/s
[12/25 00:10:25] ppdet.engine INFO: Epoch: [6] [1050/3664] learning_rate: 0.060000 loss_cls: 0.253552 loss_reg: 0.303637 loss: 0.569794 eta: 8:03:33 batch_cost: 1.3717 data_cost: 0.0004 ips: 5.8321 images/s
[12/25 00:11:34] ppdet.engine INFO: Epoch: [6] [1100/3664] learning_rate: 0.060000 loss_cls: 0.275661 loss_reg: 0.326081 loss: 0.560849 eta: 8:02:24 batch_cost: 1.3921 data_cost: 0.0004 ips: 5.7467 images/s
[12/25 00:12:45] ppdet.engine INFO: Epoch: [6] [1150/3664] learning_rate: 0.060000 loss_cls: 0.281170 loss_reg: 0.382958 loss: 0.653629 eta: 8:01:15 batch_cost: 1.3936 data_cost: 0.0004 ips: 5.7404 images/s
[12/25 00:13:55] ppdet.engine INFO: Epoch: [6] [1200/3664] learning_rate: 0.060000 loss_cls: 0.272954 loss_reg: 0.326189 loss: 0.590372 eta: 8:00:07 batch_cost: 1.4093 data_cost: 0.0004 ips: 5.6764 images/s
[12/25 00:15:06] ppdet.engine INFO: Epoch: [6] [1250/3664] learning_rate: 0.060000 loss_cls: 0.268130 loss_reg: 0.335668 loss: 0.608023 eta: 7:58:59 batch_cost: 1.4205 data_cost: 0.0004 ips: 5.6317 images/s
[12/25 00:16:15] ppdet.engine INFO: Epoch: [6] [1300/3664] learning_rate: 0.060000 loss_cls: 0.311849 loss_reg: 0.409906 loss: 0.715296 eta: 7:57:49 batch_cost: 1.3818 data_cost: 0.0004 ips: 5.7896 images/s
[12/25 00:17:26] ppdet.engine INFO: Epoch: [6] [1350/3664] learning_rate: 0.060000 loss_cls: 0.259186 loss_reg: 0.401477 loss: 0.662054 eta: 7:56:41 batch_cost: 1.4138 data_cost: 0.0004 ips: 5.6586 images/s
[12/25 00:18:36] ppdet.engine INFO: Epoch: [6] [1400/3664] learning_rate: 0.060000 loss_cls: 0.267714 loss_reg: 0.333527 loss: 0.606771 eta: 7:55:32 batch_cost: 1.3972 data_cost: 0.0004 ips: 5.7259 images/s
[12/25 00:19:45] ppdet.engine INFO: Epoch: [6] [1450/3664] learning_rate: 0.060000 loss_cls: 0.290557 loss_reg: 0.350337 loss: 0.661706 eta: 7:54:23 batch_cost: 1.3792 data_cost: 0.0004 ips: 5.8003 images/s
[12/25 00:20:53] ppdet.engine INFO: Epoch: [6] [1500/3664] learning_rate: 0.060000 loss_cls: 0.274676 loss_reg: 0.354591 loss: 0.604914 eta: 7:53:12 batch_cost: 1.3571 data_cost: 0.0004 ips: 5.8950 images/s
[12/25 00:22:00] ppdet.engine INFO: Epoch: [6] [1550/3664] learning_rate: 0.060000 loss_cls: 0.300981 loss_reg: 0.373305 loss: 0.662468 eta: 7:52:01 batch_cost: 1.3475 data_cost: 0.0004 ips: 5.9371 images/s
[12/25 00:23:06] ppdet.engine INFO: Epoch: [6] [1600/3664] learning_rate: 0.060000 loss_cls: 0.284791 loss_reg: 0.372230 loss: 0.678700 eta: 7:50:49 batch_cost: 1.3083 data_cost: 0.0004 ips: 6.1146 images/s
[12/25 00:24:14] ppdet.engine INFO: Epoch: [6] [1650/3664] learning_rate: 0.060000 loss_cls: 0.296774 loss_reg: 0.337794 loss: 0.629828 eta: 7:49:38 batch_cost: 1.3612 data_cost: 0.0004 ips: 5.8773 images/s
[12/25 00:25:25] ppdet.engine INFO: Epoch: [6] [1700/3664] learning_rate: 0.060000 loss_cls: 0.263139 loss_reg: 0.319167 loss: 0.586226 eta: 7:48:30 batch_cost: 1.4153 data_cost: 0.0004 ips: 5.6526 images/s
[12/25 00:26:35] ppdet.engine INFO: Epoch: [6] [1750/3664] learning_rate: 0.060000 loss_cls: 0.264843 loss_reg: 0.324382 loss: 0.611650 eta: 7:47:22 batch_cost: 1.4047 data_cost: 0.0004 ips: 5.6950 images/s
[12/25 00:27:44] ppdet.engine INFO: Epoch: [6] [1800/3664] learning_rate: 0.060000 loss_cls: 0.260406 loss_reg: 0.333033 loss: 0.577824 eta: 7:46:12 batch_cost: 1.3673 data_cost: 0.0004 ips: 5.8509 images/s
[12/25 00:28:54] ppdet.engine INFO: Epoch: [6] [1850/3664] learning_rate: 0.060000 loss_cls: 0.252306 loss_reg: 0.327126 loss: 0.567898 eta: 7:45:03 batch_cost: 1.3984 data_cost: 0.0004 ips: 5.7208 images/s
[12/25 00:30:04] ppdet.engine INFO: Epoch: [6] [1900/3664] learning_rate: 0.060000 loss_cls: 0.283203 loss_reg: 0.349048 loss: 0.674409 eta: 7:43:54 batch_cost: 1.3901 data_cost: 0.0004 ips: 5.7551 images/s
[12/25 00:31:14] ppdet.engine INFO: Epoch: [6] [1950/3664] learning_rate: 0.060000 loss_cls: 0.290788 loss_reg: 0.365152 loss: 0.643664 eta: 7:42:45 batch_cost: 1.3981 data_cost: 0.0004 ips: 5.7221 images/s
[12/25 00:32:24] ppdet.engine INFO: Epoch: [6] [2000/3664] learning_rate: 0.060000 loss_cls: 0.291986 loss_reg: 0.343315 loss: 0.609565 eta: 7:41:36 batch_cost: 1.3943 data_cost: 0.0004 ips: 5.7375 images/s
[12/25 00:33:32] ppdet.engine INFO: Epoch: [6] [2050/3664] learning_rate: 0.060000 loss_cls: 0.280995 loss_reg: 0.356216 loss: 0.614948 eta: 7:40:26 batch_cost: 1.3621 data_cost: 0.0004 ips: 5.8731 images/s
[12/25 00:34:42] ppdet.engine INFO: Epoch: [6] [2100/3664] learning_rate: 0.060000 loss_cls: 0.298478 loss_reg: 0.336825 loss: 0.657469 eta: 7:39:17 batch_cost: 1.4112 data_cost: 0.0004 ips: 5.6688 images/s
[12/25 00:35:53] ppdet.engine INFO: Epoch: [6] [2150/3664] learning_rate: 0.060000 loss_cls: 0.255553 loss_reg: 0.285295 loss: 0.540284 eta: 7:38:10 batch_cost: 1.4198 data_cost: 0.0004 ips: 5.6345 images/s
[12/25 00:37:01] ppdet.engine INFO: Epoch: [6] [2200/3664] learning_rate: 0.060000 loss_cls: 0.294264 loss_reg: 0.375515 loss: 0.680261 eta: 7:36:59 batch_cost: 1.3538 data_cost: 0.0004 ips: 5.9091 images/s
[12/25 00:38:11] ppdet.engine INFO: Epoch: [6] [2250/3664] learning_rate: 0.060000 loss_cls: 0.267342 loss_reg: 0.326962 loss: 0.586136 eta: 7:35:50 batch_cost: 1.3935 data_cost: 0.0004 ips: 5.7409 images/s
[12/25 00:39:19] ppdet.engine INFO: Epoch: [6] [2300/3664] learning_rate: 0.060000 loss_cls: 0.315478 loss_reg: 0.419601 loss: 0.785066 eta: 7:34:39 batch_cost: 1.3561 data_cost: 0.0004 ips: 5.8993 images/s
[12/25 00:40:24] ppdet.engine INFO: Epoch: [6] [2350/3664] learning_rate: 0.060000 loss_cls: 0.296583 loss_reg: 0.375576 loss: 0.662685 eta: 7:33:26 batch_cost: 1.2929 data_cost: 0.0004 ips: 6.1878 images/s
[12/25 00:41:33] ppdet.engine INFO: Epoch: [6] [2400/3664] learning_rate: 0.060000 loss_cls: 0.278877 loss_reg: 0.351032 loss: 0.623675 eta: 7:32:17 batch_cost: 1.3793 data_cost: 0.0004 ips: 5.7999 images/s
[12/25 00:42:45] ppdet.engine INFO: Epoch: [6] [2450/3664] learning_rate: 0.060000 loss_cls: 0.292078 loss_reg: 0.350785 loss: 0.649813 eta: 7:31:09 batch_cost: 1.4268 data_cost: 0.0004 ips: 5.6070 images/s
[12/25 00:43:54] ppdet.engine INFO: Epoch: [6] [2500/3664] learning_rate: 0.060000 loss_cls: 0.269729 loss_reg: 0.338031 loss: 0.618650 eta: 7:30:00 batch_cost: 1.3861 data_cost: 0.0004 ips: 5.7715 images/s
[12/25 00:45:04] ppdet.engine INFO: Epoch: [6] [2550/3664] learning_rate: 0.060000 loss_cls: 0.263739 loss_reg: 0.338460 loss: 0.604278 eta: 7:28:50 batch_cost: 1.3782 data_cost: 0.0004 ips: 5.8045 images/s
[12/25 00:46:14] ppdet.engine INFO: Epoch: [6] [2600/3664] learning_rate: 0.060000 loss_cls: 0.298105 loss_reg: 0.381606 loss: 0.700565 eta: 7:27:42 batch_cost: 1.4133 data_cost: 0.0004 ips: 5.6605 images/s
[12/25 00:47:24] ppdet.engine INFO: Epoch: [6] [2650/3664] learning_rate: 0.060000 loss_cls: 0.282407 loss_reg: 0.329173 loss: 0.600746 eta: 7:26:33 batch_cost: 1.3951 data_cost: 0.0004 ips: 5.7344 images/s
[12/25 00:48:35] ppdet.engine INFO: Epoch: [6] [2700/3664] learning_rate: 0.060000 loss_cls: 0.272106 loss_reg: 0.337163 loss: 0.624813 eta: 7:25:25 batch_cost: 1.4100 data_cost: 0.0004 ips: 5.6739 images/s
[12/25 00:49:44] ppdet.engine INFO: Epoch: [6] [2750/3664] learning_rate: 0.060000 loss_cls: 0.289755 loss_reg: 0.351915 loss: 0.665055 eta: 7:24:16 batch_cost: 1.3859 data_cost: 0.0004 ips: 5.7722 images/s
[12/25 00:50:53] ppdet.engine INFO: Epoch: [6] [2800/3664] learning_rate: 0.060000 loss_cls: 0.279701 loss_reg: 0.343631 loss: 0.626843 eta: 7:23:06 batch_cost: 1.3709 data_cost: 0.0004 ips: 5.8355 images/s
[12/25 00:52:03] ppdet.engine INFO: Epoch: [6] [2850/3664] learning_rate: 0.060000 loss_cls: 0.256121 loss_reg: 0.299030 loss: 0.553814 eta: 7:21:57 batch_cost: 1.4005 data_cost: 0.0004 ips: 5.7121 images/s
[12/25 00:53:11] ppdet.engine INFO: Epoch: [6] [2900/3664] learning_rate: 0.060000 loss_cls: 0.287610 loss_reg: 0.359019 loss: 0.619651 eta: 7:20:47 batch_cost: 1.3729 data_cost: 0.0004 ips: 5.8269 images/s
[12/25 00:54:20] ppdet.engine INFO: Epoch: [6] [2950/3664] learning_rate: 0.060000 loss_cls: 0.295389 loss_reg: 0.319835 loss: 0.640003 eta: 7:19:38 batch_cost: 1.3802 data_cost: 0.0004 ips: 5.7965 images/s
[12/25 00:55:28] ppdet.engine INFO: Epoch: [6] [3000/3664] learning_rate: 0.060000 loss_cls: 0.278526 loss_reg: 0.318367 loss: 0.589905 eta: 7:18:27 batch_cost: 1.3473 data_cost: 0.0004 ips: 5.9377 images/s
[12/25 00:56:36] ppdet.engine INFO: Epoch: [6] [3050/3664] learning_rate: 0.060000 loss_cls: 0.308484 loss_reg: 0.357904 loss: 0.690588 eta: 7:17:17 batch_cost: 1.3616 data_cost: 0.0004 ips: 5.8753 images/s
[12/25 00:57:43] ppdet.engine INFO: Epoch: [6] [3100/3664] learning_rate: 0.060000 loss_cls: 0.288952 loss_reg: 0.354242 loss: 0.626150 eta: 7:16:06 batch_cost: 1.3358 data_cost: 0.0004 ips: 5.9888 images/s
[12/25 00:58:52] ppdet.engine INFO: Epoch: [6] [3150/3664] learning_rate: 0.060000 loss_cls: 0.287838 loss_reg: 0.392626 loss: 0.689110 eta: 7:14:56 batch_cost: 1.3921 data_cost: 0.0004 ips: 5.7466 images/s
[12/25 01:00:02] ppdet.engine INFO: Epoch: [6] [3200/3664] learning_rate: 0.060000 loss_cls: 0.300793 loss_reg: 0.368237 loss: 0.703760 eta: 7:13:46 batch_cost: 1.3659 data_cost: 0.0004 ips: 5.8568 images/s
[12/25 01:01:11] ppdet.engine INFO: Epoch: [6] [3250/3664] learning_rate: 0.060000 loss_cls: 0.255715 loss_reg: 0.340850 loss: 0.604238 eta: 7:12:38 batch_cost: 1.3961 data_cost: 0.0004 ips: 5.7304 images/s
[12/25 01:02:23] ppdet.engine INFO: Epoch: [6] [3300/3664] learning_rate: 0.060000 loss_cls: 0.293295 loss_reg: 0.352065 loss: 0.633189 eta: 7:11:29 batch_cost: 1.4157 data_cost: 0.0004 ips: 5.6508 images/s
[12/25 01:03:32] ppdet.engine INFO: Epoch: [6] [3350/3664] learning_rate: 0.060000 loss_cls: 0.273563 loss_reg: 0.364614 loss: 0.640329 eta: 7:10:20 batch_cost: 1.3879 data_cost: 0.0004 ips: 5.7640 images/s
[12/25 01:04:45] ppdet.engine INFO: Epoch: [6] [3400/3664] learning_rate: 0.060000 loss_cls: 0.241567 loss_reg: 0.323454 loss: 0.590108 eta: 7:09:13 batch_cost: 1.4469 data_cost: 0.0004 ips: 5.5292 images/s
[12/25 01:05:55] ppdet.engine INFO: Epoch: [6] [3450/3664] learning_rate: 0.060000 loss_cls: 0.276782 loss_reg: 0.323144 loss: 0.586172 eta: 7:08:05 batch_cost: 1.4099 data_cost: 0.0004 ips: 5.6743 images/s
[12/25 01:07:06] ppdet.engine INFO: Epoch: [6] [3500/3664] learning_rate: 0.060000 loss_cls: 0.286571 loss_reg: 0.332924 loss: 0.593589 eta: 7:06:56 batch_cost: 1.4036 data_cost: 0.0004 ips: 5.6995 images/s
[12/25 01:08:16] ppdet.engine INFO: Epoch: [6] [3550/3664] learning_rate: 0.060000 loss_cls: 0.278630 loss_reg: 0.335317 loss: 0.609673 eta: 7:05:47 batch_cost: 1.3977 data_cost: 0.0004 ips: 5.7237 images/s
[12/25 01:09:27] ppdet.engine INFO: Epoch: [6] [3600/3664] learning_rate: 0.060000 loss_cls: 0.260837 loss_reg: 0.337796 loss: 0.581409 eta: 7:04:39 batch_cost: 1.4022 data_cost: 0.0004 ips: 5.7053 images/s
[12/25 01:10:36] ppdet.engine INFO: Epoch: [6] [3650/3664] learning_rate: 0.060000 loss_cls: 0.290356 loss_reg: 0.374438 loss: 0.654049 eta: 7:03:29 batch_cost: 1.3808 data_cost: 0.0004 ips: 5.7937 images/s
[12/25 01:10:56] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
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[12/25 01:15:12] ppdet.metrics.metrics INFO: The bbox result is saved to bbox.json.
loading annotations into memory...
Done (t=0.60s)
creating index...
index created!
[12/25 01:15:12] ppdet.metrics.coco_utils INFO: Start evaluate...
Loading and preparing results...
DONE (t=5.00s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=71.77s).
Accumulating evaluation results...
DONE (t=12.63s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.281
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.470
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.297
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.131
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.323
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.385
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.259
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.425
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.454
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.225
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.516
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.631
[12/25 01:16:44] ppdet.engine INFO: Total sample number: 4952, averge FPS: 20.268472622740937
[12/25 01:16:44] ppdet.engine INFO: Best test bbox ap is 0.281.
[12/25 01:16:46] ppdet.utils.checkpoint INFO: Save checkpoint: output/yolof-1223-wm1500
[12/25 01:16:49] ppdet.engine INFO: Epoch: [7] [ 0/3664] learning_rate: 0.060000 loss_cls: 0.290356 loss_reg: 0.371141 loss: 0.659856 eta: 7:03:06 batch_cost: 1.2558 data_cost: 0.0004 ips: 6.3704 images/s
[12/25 01:18:10] ppdet.engine INFO: Epoch: [7] [ 50/3664] learning_rate: 0.060000 loss_cls: 0.244889 loss_reg: 0.344327 loss: 0.591174 eta: 7:02:05 batch_cost: 1.6256 data_cost: 0.0004 ips: 4.9214 images/s
[12/25 01:19:22] ppdet.engine INFO: Epoch: [7] [ 100/3664] learning_rate: 0.060000 loss_cls: 0.258607 loss_reg: 0.329210 loss: 0.607310 eta: 7:00:57 batch_cost: 1.4173 data_cost: 0.0004 ips: 5.6445 images/s
[12/25 01:20:30] ppdet.engine INFO: Epoch: [7] [ 150/3664] learning_rate: 0.060000 loss_cls: 0.274268 loss_reg: 0.352486 loss: 0.644752 eta: 6:59:47 batch_cost: 1.3652 data_cost: 0.0004 ips: 5.8598 images/s
[12/25 01:21:41] ppdet.engine INFO: Epoch: [7] [ 200/3664] learning_rate: 0.060000 loss_cls: 0.262173 loss_reg: 0.320345 loss: 0.603211 eta: 6:58:38 batch_cost: 1.4192 data_cost: 0.0004 ips: 5.6371 images/s
[12/25 01:22:51] ppdet.engine INFO: Epoch: [7] [ 250/3664] learning_rate: 0.060000 loss_cls: 0.270694 loss_reg: 0.339933 loss: 0.624750 eta: 6:57:30 batch_cost: 1.4013 data_cost: 0.0004 ips: 5.7091 images/s
[12/25 01:24:02] ppdet.engine INFO: Epoch: [7] [ 300/3664] learning_rate: 0.060000 loss_cls: 0.251967 loss_reg: 0.329311 loss: 0.606986 eta: 6:56:21 batch_cost: 1.4101 data_cost: 0.0004 ips: 5.6734 images/s
[12/25 01:25:10] ppdet.engine INFO: Epoch: [7] [ 350/3664] learning_rate: 0.060000 loss_cls: 0.261896 loss_reg: 0.314281 loss: 0.564694 eta: 6:55:11 batch_cost: 1.3612 data_cost: 0.0008 ips: 5.8772 images/s
[12/25 01:26:20] ppdet.engine INFO: Epoch: [7] [ 400/3664] learning_rate: 0.060000 loss_cls: 0.243027 loss_reg: 0.311858 loss: 0.575089 eta: 6:54:02 batch_cost: 1.3977 data_cost: 0.0004 ips: 5.7236 images/s
[12/25 01:27:32] ppdet.engine INFO: Epoch: [7] [ 450/3664] learning_rate: 0.060000 loss_cls: 0.266449 loss_reg: 0.355197 loss: 0.617128 eta: 6:52:54 batch_cost: 1.4327 data_cost: 0.0004 ips: 5.5838 images/s
[12/25 01:28:44] ppdet.engine INFO: Epoch: [7] [ 500/3664] learning_rate: 0.060000 loss_cls: 0.267956 loss_reg: 0.332148 loss: 0.615038 eta: 6:51:47 batch_cost: 1.4430 data_cost: 0.0004 ips: 5.5440 images/s
[12/25 01:29:55] ppdet.engine INFO: Epoch: [7] [ 550/3664] learning_rate: 0.060000 loss_cls: 0.287236 loss_reg: 0.352068 loss: 0.652658 eta: 6:50:39 batch_cost: 1.4165 data_cost: 0.0004 ips: 5.6476 images/s
[12/25 01:31:01] ppdet.engine INFO: Epoch: [7] [ 600/3664] learning_rate: 0.060000 loss_cls: 0.243149 loss_reg: 0.308255 loss: 0.584389 eta: 6:49:27 batch_cost: 1.3093 data_cost: 0.0004 ips: 6.1100 images/s
[12/25 01:32:07] ppdet.engine INFO: Epoch: [7] [ 650/3664] learning_rate: 0.060000 loss_cls: 0.277022 loss_reg: 0.300734 loss: 0.565236 eta: 6:48:15 batch_cost: 1.3155 data_cost: 0.0004 ips: 6.0813 images/s
[12/25 01:33:16] ppdet.engine INFO: Epoch: [7] [ 700/3664] learning_rate: 0.060000 loss_cls: 0.253668 loss_reg: 0.366820 loss: 0.616492 eta: 6:47:05 batch_cost: 1.3697 data_cost: 0.0039 ips: 5.8408 images/s
[12/25 01:34:26] ppdet.engine INFO: Epoch: [7] [ 750/3664] learning_rate: 0.060000 loss_cls: 0.288615 loss_reg: 0.349624 loss: 0.633195 eta: 6:45:56 batch_cost: 1.3966 data_cost: 0.0004 ips: 5.7280 images/s
[12/25 01:35:35] ppdet.engine INFO: Epoch: [7] [ 800/3664] learning_rate: 0.060000 loss_cls: 0.279188 loss_reg: 0.305925 loss: 0.600418 eta: 6:44:47 batch_cost: 1.3814 data_cost: 0.0004 ips: 5.7912 images/s
[12/25 01:36:45] ppdet.engine INFO: Epoch: [7] [ 850/3664] learning_rate: 0.060000 loss_cls: 0.271423 loss_reg: 0.308149 loss: 0.580422 eta: 6:43:37 batch_cost: 1.3813 data_cost: 0.0004 ips: 5.7915 images/s
[12/25 01:37:56] ppdet.engine INFO: Epoch: [7] [ 900/3664] learning_rate: 0.060000 loss_cls: 0.265038 loss_reg: 0.338542 loss: 0.595151 eta: 6:42:29 batch_cost: 1.4311 data_cost: 0.0004 ips: 5.5902 images/s
[12/25 01:39:06] ppdet.engine INFO: Epoch: [7] [ 950/3664] learning_rate: 0.060000 loss_cls: 0.270839 loss_reg: 0.361199 loss: 0.634713 eta: 6:41:21 batch_cost: 1.4042 data_cost: 0.0004 ips: 5.6971 images/s
[12/25 01:40:15] ppdet.engine INFO: Epoch: [7] [1000/3664] learning_rate: 0.060000 loss_cls: 0.256736 loss_reg: 0.331030 loss: 0.633750 eta: 6:40:11 batch_cost: 1.3683 data_cost: 0.0004 ips: 5.8467 images/s
[12/25 01:41:25] ppdet.engine INFO: Epoch: [7] [1050/3664] learning_rate: 0.060000 loss_cls: 0.276306 loss_reg: 0.353967 loss: 0.638718 eta: 6:39:02 batch_cost: 1.4009 data_cost: 0.0004 ips: 5.7107 images/s
[12/25 01:42:35] ppdet.engine INFO: Epoch: [7] [1100/3664] learning_rate: 0.060000 loss_cls: 0.258281 loss_reg: 0.316838 loss: 0.591926 eta: 6:37:53 batch_cost: 1.3934 data_cost: 0.0004 ips: 5.7412 images/s
[12/25 01:43:47] ppdet.engine INFO: Epoch: [7] [1150/3664] learning_rate: 0.060000 loss_cls: 0.255317 loss_reg: 0.341506 loss: 0.586743 eta: 6:36:45 batch_cost: 1.4310 data_cost: 0.0004 ips: 5.5906 images/s
[12/25 01:44:56] ppdet.engine INFO: Epoch: [7] [1200/3664] learning_rate: 0.060000 loss_cls: 0.286100 loss_reg: 0.374250 loss: 0.643013 eta: 6:35:36 batch_cost: 1.3886 data_cost: 0.0004 ips: 5.7613 images/s
[12/25 01:46:07] ppdet.engine INFO: Epoch: [7] [1250/3664] learning_rate: 0.060000 loss_cls: 0.266536 loss_reg: 0.303236 loss: 0.592963 eta: 6:34:27 batch_cost: 1.4082 data_cost: 0.0004 ips: 5.6811 images/s
[12/25 01:47:14] ppdet.engine INFO: Epoch: [7] [1300/3664] learning_rate: 0.060000 loss_cls: 0.265646 loss_reg: 0.338856 loss: 0.600003 eta: 6:33:16 batch_cost: 1.3461 data_cost: 0.0004 ips: 5.9430 images/s
[12/25 01:48:20] ppdet.engine INFO: Epoch: [7] [1350/3664] learning_rate: 0.060000 loss_cls: 0.262397 loss_reg: 0.379686 loss: 0.649487 eta: 6:32:05 batch_cost: 1.3160 data_cost: 0.0004 ips: 6.0792 images/s
[12/25 01:49:27] ppdet.engine INFO: Epoch: [7] [1400/3664] learning_rate: 0.060000 loss_cls: 0.268820 loss_reg: 0.359808 loss: 0.654948 eta: 6:30:54 batch_cost: 1.3410 data_cost: 0.0004 ips: 5.9657 images/s
[12/25 01:50:37] ppdet.engine INFO: Epoch: [7] [1450/3664] learning_rate: 0.060000 loss_cls: 0.259860 loss_reg: 0.337116 loss: 0.595860 eta: 6:29:45 batch_cost: 1.3888 data_cost: 0.0004 ips: 5.7605 images/s
[12/25 01:51:47] ppdet.engine INFO: Epoch: [7] [1500/3664] learning_rate: 0.060000 loss_cls: 0.265869 loss_reg: 0.326026 loss: 0.627462 eta: 6:28:36 batch_cost: 1.4035 data_cost: 0.0004 ips: 5.7002 images/s
[12/25 01:52:56] ppdet.engine INFO: Epoch: [7] [1550/3664] learning_rate: 0.060000 loss_cls: 0.278534 loss_reg: 0.313007 loss: 0.593340 eta: 6:27:26 batch_cost: 1.3663 data_cost: 0.0004 ips: 5.8552 images/s
[12/25 01:54:06] ppdet.engine INFO: Epoch: [7] [1600/3664] learning_rate: 0.060000 loss_cls: 0.266616 loss_reg: 0.291683 loss: 0.576376 eta: 6:26:18 batch_cost: 1.4078 data_cost: 0.0004 ips: 5.6826 images/s
[12/25 01:55:16] ppdet.engine INFO: Epoch: [7] [1650/3664] learning_rate: 0.060000 loss_cls: 0.239158 loss_reg: 0.318909 loss: 0.543120 eta: 6:25:09 batch_cost: 1.4005 data_cost: 0.0004 ips: 5.7123 images/s
[12/25 01:56:25] ppdet.engine INFO: Epoch: [7] [1700/3664] learning_rate: 0.060000 loss_cls: 0.282057 loss_reg: 0.348710 loss: 0.625740 eta: 6:23:59 batch_cost: 1.3736 data_cost: 0.0004 ips: 5.8243 images/s
[12/25 01:57:34] ppdet.engine INFO: Epoch: [7] [1750/3664] learning_rate: 0.060000 loss_cls: 0.285643 loss_reg: 0.381221 loss: 0.671187 eta: 6:22:49 batch_cost: 1.3791 data_cost: 0.0004 ips: 5.8010 images/s
[12/25 01:58:44] ppdet.engine INFO: Epoch: [7] [1800/3664] learning_rate: 0.060000 loss_cls: 0.263936 loss_reg: 0.305132 loss: 0.599307 eta: 6:21:40 batch_cost: 1.3954 data_cost: 0.0004 ips: 5.7332 images/s
[12/25 01:59:55] ppdet.engine INFO: Epoch: [7] [1850/3664] learning_rate: 0.060000 loss_cls: 0.298195 loss_reg: 0.404424 loss: 0.680298 eta: 6:20:32 batch_cost: 1.4067 data_cost: 0.0004 ips: 5.6869 images/s
[12/25 02:01:05] ppdet.engine INFO: Epoch: [7] [1900/3664] learning_rate: 0.060000 loss_cls: 0.270892 loss_reg: 0.348458 loss: 0.623344 eta: 6:19:23 batch_cost: 1.4034 data_cost: 0.0004 ips: 5.7005 images/s
[12/25 02:02:17] ppdet.engine INFO: Epoch: [7] [1950/3664] learning_rate: 0.060000 loss_cls: 0.299939 loss_reg: 0.355353 loss: 0.675309 eta: 6:18:15 batch_cost: 1.4318 data_cost: 0.0004 ips: 5.5875 images/s
[12/25 02:03:27] ppdet.engine INFO: Epoch: [7] [2000/3664] learning_rate: 0.060000 loss_cls: 0.273751 loss_reg: 0.378925 loss: 0.662527 eta: 6:17:06 batch_cost: 1.4048 data_cost: 0.0004 ips: 5.6947 images/s
[12/25 02:04:35] ppdet.engine INFO: Epoch: [7] [2050/3664] learning_rate: 0.060000 loss_cls: 0.306184 loss_reg: 0.426194 loss: 0.709421 eta: 6:15:56 batch_cost: 1.3577 data_cost: 0.0004 ips: 5.8922 images/s
[12/25 02:05:42] ppdet.engine INFO: Epoch: [7] [2100/3664] learning_rate: 0.060000 loss_cls: 0.255109 loss_reg: 0.316947 loss: 0.585175 eta: 6:14:45 batch_cost: 1.3384 data_cost: 0.0004 ips: 5.9775 images/s
[12/25 02:06:50] ppdet.engine INFO: Epoch: [7] [2150/3664] learning_rate: 0.060000 loss_cls: 0.253000 loss_reg: 0.350950 loss: 0.592634 eta: 6:13:35 batch_cost: 1.3679 data_cost: 0.0004 ips: 5.8485 images/s
[12/25 02:08:01] ppdet.engine INFO: Epoch: [7] [2200/3664] learning_rate: 0.060000 loss_cls: 0.273651 loss_reg: 0.352799 loss: 0.624516 eta: 6:12:27 batch_cost: 1.4176 data_cost: 0.0004 ips: 5.6435 images/s
[12/25 02:09:11] ppdet.engine INFO: Epoch: [7] [2250/3664] learning_rate: 0.060000 loss_cls: 0.263935 loss_reg: 0.325890 loss: 0.600151 eta: 6:11:18 batch_cost: 1.4033 data_cost: 0.0004 ips: 5.7007 images/s
[12/25 02:10:21] ppdet.engine INFO: Epoch: [7] [2300/3664] learning_rate: 0.060000 loss_cls: 0.296584 loss_reg: 0.350569 loss: 0.670544 eta: 6:10:09 batch_cost: 1.3865 data_cost: 0.0004 ips: 5.7699 images/s
[12/25 02:11:32] ppdet.engine INFO: Epoch: [7] [2350/3664] learning_rate: 0.060000 loss_cls: 0.253401 loss_reg: 0.294226 loss: 0.555748 eta: 6:09:00 batch_cost: 1.4186 data_cost: 0.0004 ips: 5.6394 images/s
[12/25 02:12:43] ppdet.engine INFO: Epoch: [7] [2400/3664] learning_rate: 0.060000 loss_cls: 0.256411 loss_reg: 0.356020 loss: 0.641958 eta: 6:07:52 batch_cost: 1.4097 data_cost: 0.0004 ips: 5.6752 images/s
[12/25 02:13:52] ppdet.engine INFO: Epoch: [7] [2450/3664] learning_rate: 0.060000 loss_cls: 0.289532 loss_reg: 0.381267 loss: 0.657151 eta: 6:06:42 batch_cost: 1.3777 data_cost: 0.0004 ips: 5.8068 images/s
[12/25 02:15:05] ppdet.engine INFO: Epoch: [7] [2500/3664] learning_rate: 0.060000 loss_cls: 0.243347 loss_reg: 0.288086 loss: 0.546732 eta: 6:05:35 batch_cost: 1.4654 data_cost: 0.0004 ips: 5.4592 images/s
[12/25 02:16:16] ppdet.engine INFO: Epoch: [7] [2550/3664] learning_rate: 0.060000 loss_cls: 0.269936 loss_reg: 0.329759 loss: 0.609139 eta: 6:04:26 batch_cost: 1.4023 data_cost: 0.0004 ips: 5.7047 images/s
[12/25 02:17:29] ppdet.engine INFO: Epoch: [7] [2600/3664] learning_rate: 0.060000 loss_cls: 0.282984 loss_reg: 0.327064 loss: 0.624328 eta: 6:03:19 batch_cost: 1.4597 data_cost: 0.0004 ips: 5.4807 images/s
[12/25 02:18:37] ppdet.engine INFO: Epoch: [7] [2650/3664] learning_rate: 0.060000 loss_cls: 0.269741 loss_reg: 0.357087 loss: 0.618466 eta: 6:02:09 batch_cost: 1.3695 data_cost: 0.0004 ips: 5.8413 images/s
[12/25 02:19:48] ppdet.engine INFO: Epoch: [7] [2700/3664] learning_rate: 0.060000 loss_cls: 0.273056 loss_reg: 0.348935 loss: 0.630725 eta: 6:01:00 batch_cost: 1.3997 data_cost: 0.0004 ips: 5.7156 images/s
[12/25 02:21:00] ppdet.engine INFO: Epoch: [7] [2750/3664] learning_rate: 0.060000 loss_cls: 0.270133 loss_reg: 0.337542 loss: 0.579157 eta: 5:59:52 batch_cost: 1.4307 data_cost: 0.0004 ips: 5.5917 images/s
[12/25 02:22:04] ppdet.engine INFO: Epoch: [7] [2800/3664] learning_rate: 0.060000 loss_cls: 0.249579 loss_reg: 0.301862 loss: 0.545235 eta: 5:58:40 batch_cost: 1.2785 data_cost: 0.0004 ips: 6.2571 images/s
[12/25 02:23:10] ppdet.engine INFO: Epoch: [7] [2850/3664] learning_rate: 0.060000 loss_cls: 0.270781 loss_reg: 0.348614 loss: 0.626996 eta: 5:57:29 batch_cost: 1.3270 data_cost: 0.0004 ips: 6.0286 images/s
[12/25 02:24:21] ppdet.engine INFO: Epoch: [7] [2900/3664] learning_rate: 0.060000 loss_cls: 0.279212 loss_reg: 0.347594 loss: 0.650097 eta: 5:56:21 batch_cost: 1.4249 data_cost: 0.0004 ips: 5.6145 images/s
[12/25 02:25:31] ppdet.engine INFO: Epoch: [7] [2950/3664] learning_rate: 0.060000 loss_cls: 0.283243 loss_reg: 0.377632 loss: 0.683387 eta: 5:55:12 batch_cost: 1.4024 data_cost: 0.0004 ips: 5.7043 images/s
[12/25 02:26:42] ppdet.engine INFO: Epoch: [7] [3000/3664] learning_rate: 0.060000 loss_cls: 0.281330 loss_reg: 0.350670 loss: 0.658066 eta: 5:54:03 batch_cost: 1.4044 data_cost: 0.0004 ips: 5.6964 images/s
[12/25 02:27:51] ppdet.engine INFO: Epoch: [7] [3050/3664] learning_rate: 0.060000 loss_cls: 0.267399 loss_reg: 0.338761 loss: 0.640558 eta: 5:52:53 batch_cost: 1.3898 data_cost: 0.0004 ips: 5.7563 images/s
[12/25 02:29:01] ppdet.engine INFO: Epoch: [7] [3100/3664] learning_rate: 0.060000 loss_cls: 0.276868 loss_reg: 0.338125 loss: 0.623220 eta: 5:51:44 batch_cost: 1.3869 data_cost: 0.0004 ips: 5.7682 images/s
[12/25 02:30:10] ppdet.engine INFO: Epoch: [7] [3150/3664] learning_rate: 0.060000 loss_cls: 0.301404 loss_reg: 0.362159 loss: 0.652068 eta: 5:50:35 batch_cost: 1.3778 data_cost: 0.0004 ips: 5.8063 images/s
[12/25 02:31:21] ppdet.engine INFO: Epoch: [7] [3200/3664] learning_rate: 0.060000 loss_cls: 0.257221 loss_reg: 0.308031 loss: 0.593320 eta: 5:49:26 batch_cost: 1.4287 data_cost: 0.0004 ips: 5.5993 images/s
[12/25 02:32:32] ppdet.engine INFO: Epoch: [7] [3250/3664] learning_rate: 0.060000 loss_cls: 0.280693 loss_reg: 0.358347 loss: 0.644008 eta: 5:48:18 batch_cost: 1.4138 data_cost: 0.0004 ips: 5.6584 images/s
[12/25 02:33:41] ppdet.engine INFO: Epoch: [7] [3300/3664] learning_rate: 0.060000 loss_cls: 0.296852 loss_reg: 0.446907 loss: 0.740974 eta: 5:47:08 batch_cost: 1.3831 data_cost: 0.0004 ips: 5.7841 images/s
[12/25 02:34:51] ppdet.engine INFO: Epoch: [7] [3350/3664] learning_rate: 0.060000 loss_cls: 0.249899 loss_reg: 0.341255 loss: 0.565654 eta: 5:45:59 batch_cost: 1.3886 data_cost: 0.0004 ips: 5.7611 images/s
[12/25 02:36:02] ppdet.engine INFO: Epoch: [7] [3400/3664] learning_rate: 0.060000 loss_cls: 0.293535 loss_reg: 0.346907 loss: 0.642996 eta: 5:44:51 batch_cost: 1.4274 data_cost: 0.0005 ips: 5.6048 images/s
[12/25 02:37:13] ppdet.engine INFO: Epoch: [7] [3450/3664] learning_rate: 0.060000 loss_cls: 0.308572 loss_reg: 0.365473 loss: 0.669533 eta: 5:43:42 batch_cost: 1.4211 data_cost: 0.0004 ips: 5.6293 images/s
[12/25 02:38:22] ppdet.engine INFO: Epoch: [7] [3500/3664] learning_rate: 0.060000 loss_cls: 0.238650 loss_reg: 0.306756 loss: 0.533584 eta: 5:42:33 batch_cost: 1.3821 data_cost: 0.0039 ips: 5.7884 images/s
[12/25 02:39:28] ppdet.engine INFO: Epoch: [7] [3550/3664] learning_rate: 0.060000 loss_cls: 0.272949 loss_reg: 0.391192 loss: 0.690167 eta: 5:41:22 batch_cost: 1.3177 data_cost: 0.0004 ips: 6.0711 images/s
[12/25 02:40:37] ppdet.engine INFO: Epoch: [7] [3600/3664] learning_rate: 0.060000 loss_cls: 0.285626 loss_reg: 0.362671 loss: 0.649248 eta: 5:40:12 batch_cost: 1.3740 data_cost: 0.0004 ips: 5.8224 images/s