Namespace(amp=False, batch_size=16, custom_model=None, dataset='coco', disable_hybridization=False, epochs=26, executor_threads=8, gpus='0,1,2,3,4,5,6,7', horovod=False, kv_store='nccl', log_interval=100, lr=0.02, lr_decay=0.1, lr_decay_epoch='20,24', lr_warmup='500', lr_warmup_factor=0.3333, mixup=False, momentum=0.9, network='resnest101', no_mixup_epochs=20, norm_layer='syncbn', num_workers=16, rcnn_smoothl1_rho=0.001, resume='', rpn_smoothl1_rho=0.001, save_interval=1, save_prefix='faster_rcnn_fpn_syncbn_resnest101_coco', seed=233, start_epoch=0, static_alloc=False, use_fpn=True, val_interval=1, verbose=False, wd=0.0001)
Start training from [Epoch 0]
[Epoch 0 Iteration 0] Set learning rate to 0.006666
Namespace(amp=False, batch_size=16, custom_model=None, dataset='coco', disable_hybridization=False, epochs=26, executor_threads=8, gpus='0,1,2,3,4,5,6,7', horovod=False, kv_store='nccl', log_interval=100, lr=0.02, lr_decay=0.1, lr_decay_epoch='20,24', lr_warmup='500', lr_warmup_factor=0.3333, mixup=False, momentum=0.9, network='resnest101', no_mixup_epochs=20, norm_layer='syncbn', num_workers=16, rcnn_smoothl1_rho=0.001, resume='', rpn_smoothl1_rho=0.001, save_interval=1, save_prefix='faster_rcnn_fpn_syncbn_resnest101_coco', seed=233, start_epoch=0, static_alloc=False, use_fpn=True, val_interval=1, verbose=False, wd=0.0001)
Start training from [Epoch 0]
[Epoch 0 Iteration 0] Set learning rate to 0.006666
[Epoch 0][Batch 99], Speed: 15.669 samples/sec, RPN_Conf=0.350,RPN_SmoothL1=0.085,RCNN_CrossEntropy=0.554,RCNN_SmoothL1=0.154,RPNAcc=0.874,RPNL1Loss=0.573,RCNNAcc=0.942,RCNNL1Loss=1.979
[Epoch 0 Iteration 100] Set learning rate to 0.0093328
[Epoch 0][Batch 199], Speed: 19.400 samples/sec, RPN_Conf=0.259,RPN_SmoothL1=0.085,RCNN_CrossEntropy=0.504,RCNN_SmoothL1=0.206,RPNAcc=0.879,RPNL1Loss=0.562,RCNNAcc=0.935,RCNNL1Loss=2.127
[Epoch 0 Iteration 200] Set learning rate to 0.0119996
[Epoch 0][Batch 299], Speed: 17.906 samples/sec, RPN_Conf=0.218,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.450,RCNN_SmoothL1=0.203,RPNAcc=0.894,RPNL1Loss=0.558,RCNNAcc=0.937,RCNNL1Loss=2.120
[Epoch 0 Iteration 300] Set learning rate to 0.0146664
[Epoch 0][Batch 399], Speed: 19.621 samples/sec, RPN_Conf=0.191,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.418,RCNN_SmoothL1=0.203,RPNAcc=0.910,RPNL1Loss=0.550,RCNNAcc=0.938,RCNNL1Loss=2.106
[Epoch 0 Iteration 400] Set learning rate to 0.0173332
[Epoch 0][Batch 499], Speed: 19.699 samples/sec, RPN_Conf=0.172,RPN_SmoothL1=0.083,RCNN_CrossEntropy=0.406,RCNN_SmoothL1=0.213,RPNAcc=0.921,RPNL1Loss=0.540,RCNNAcc=0.936,RCNNL1Loss=2.103
[Epoch 0 Iteration 500] Set learning rate to 0.02
Namespace(amp=False, batch_size=16, custom_model=None, dataset='coco', disable_hybridization=True, epochs=26, executor_threads=8, gpus='0,1,2,3,4,5,6,7', horovod=False, kv_store='nccl', log_interval=100, lr=0.02, lr_decay=0.1, lr_decay_epoch='20,24', lr_warmup='500', lr_warmup_factor=0.3333, mixup=False, momentum=0.9, network='resnest101', no_mixup_epochs=20, norm_layer='syncbn', num_workers=16, rcnn_smoothl1_rho=0.001, resume='', rpn_smoothl1_rho=0.001, save_interval=1, save_prefix='faster_rcnn_fpn_syncbn_resnest101_coco', seed=233, start_epoch=0, static_alloc=False, use_fpn=True, val_interval=1, verbose=False, wd=0.0001)
Start training from [Epoch 0]
[Epoch 0 Iteration 0] Set learning rate to 0.006666
[Epoch 0][Batch 99], Speed: 16.385 samples/sec, RPN_Conf=0.354,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.552,RCNN_SmoothL1=0.153,RPNAcc=0.868,RPNL1Loss=0.571,RCNNAcc=0.942,RCNNL1Loss=1.981
[Epoch 0 Iteration 100] Set learning rate to 0.0093328
[Epoch 0][Batch 199], Speed: 20.461 samples/sec, RPN_Conf=0.264,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.505,RCNN_SmoothL1=0.207,RPNAcc=0.876,RPNL1Loss=0.559,RCNNAcc=0.935,RCNNL1Loss=2.131
[Epoch 0 Iteration 200] Set learning rate to 0.0119996
[Epoch 0][Batch 299], Speed: 19.030 samples/sec, RPN_Conf=0.225,RPN_SmoothL1=0.085,RCNN_CrossEntropy=0.482,RCNN_SmoothL1=0.227,RPNAcc=0.883,RPNL1Loss=0.557,RCNNAcc=0.932,RCNNL1Loss=2.171
[Epoch 0 Iteration 300] Set learning rate to 0.0146664
[Epoch 0][Batch 399], Speed: 19.377 samples/sec, RPN_Conf=0.204,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.462,RCNN_SmoothL1=0.238,RPNAcc=0.899,RPNL1Loss=0.550,RCNNAcc=0.930,RCNNL1Loss=2.172
[Epoch 0 Iteration 400] Set learning rate to 0.0173332
[Epoch 0][Batch 499], Speed: 20.342 samples/sec, RPN_Conf=0.187,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.444,RCNN_SmoothL1=0.241,RPNAcc=0.912,RPNL1Loss=0.542,RCNNAcc=0.930,RCNNL1Loss=2.151
[Epoch 0 Iteration 500] Set learning rate to 0.02
[Epoch 0][Batch 599], Speed: 20.806 samples/sec, RPN_Conf=0.170,RPN_SmoothL1=0.082,RCNN_CrossEntropy=0.426,RCNN_SmoothL1=0.242,RPNAcc=0.921,RPNL1Loss=0.535,RCNNAcc=0.931,RCNNL1Loss=2.122
[Epoch 0][Batch 699], Speed: 20.561 samples/sec, RPN_Conf=0.157,RPN_SmoothL1=0.081,RCNN_CrossEntropy=0.418,RCNN_SmoothL1=0.248,RPNAcc=0.928,RPNL1Loss=0.528,RCNNAcc=0.930,RCNNL1Loss=2.097
[Epoch 0][Batch 799], Speed: 19.996 samples/sec, RPN_Conf=0.147,RPN_SmoothL1=0.080,RCNN_CrossEntropy=0.409,RCNN_SmoothL1=0.252,RPNAcc=0.933,RPNL1Loss=0.519,RCNNAcc=0.929,RCNNL1Loss=2.060
[Epoch 0][Batch 899], Speed: 19.990 samples/sec, RPN_Conf=0.139,RPN_SmoothL1=0.079,RCNN_CrossEntropy=0.400,RCNN_SmoothL1=0.255,RPNAcc=0.938,RPNL1Loss=0.511,RCNNAcc=0.929,RCNNL1Loss=2.019
[Epoch 0][Batch 999], Speed: 20.519 samples/sec, RPN_Conf=0.132,RPN_SmoothL1=0.078,RCNN_CrossEntropy=0.393,RCNN_SmoothL1=0.259,RPNAcc=0.941,RPNL1Loss=0.503,RCNNAcc=0.928,RCNNL1Loss=1.980
[Epoch 0][Batch 1099], Speed: 20.092 samples/sec, RPN_Conf=0.126,RPN_SmoothL1=0.078,RCNN_CrossEntropy=0.387,RCNN_SmoothL1=0.261,RPNAcc=0.944,RPNL1Loss=0.496,RCNNAcc=0.927,RCNNL1Loss=1.941
[Epoch 0][Batch 1199], Speed: 20.554 samples/sec, RPN_Conf=0.121,RPN_SmoothL1=0.077,RCNN_CrossEntropy=0.379,RCNN_SmoothL1=0.262,RPNAcc=0.947,RPNL1Loss=0.489,RCNNAcc=0.927,RCNNL1Loss=1.906
[Epoch 0][Batch 1299], Speed: 20.731 samples/sec, RPN_Conf=0.117,RPN_SmoothL1=0.076,RCNN_CrossEntropy=0.373,RCNN_SmoothL1=0.264,RPNAcc=0.949,RPNL1Loss=0.482,RCNNAcc=0.927,RCNNL1Loss=1.871
[Epoch 0][Batch 1399], Speed: 20.705 samples/sec, RPN_Conf=0.113,RPN_SmoothL1=0.076,RCNN_CrossEntropy=0.367,RCNN_SmoothL1=0.265,RPNAcc=0.951,RPNL1Loss=0.477,RCNNAcc=0.927,RCNNL1Loss=1.839
[Epoch 0][Batch 1499], Speed: 20.149 samples/sec, RPN_Conf=0.110,RPN_SmoothL1=0.075,RCNN_CrossEntropy=0.361,RCNN_SmoothL1=0.265,RPNAcc=0.952,RPNL1Loss=0.471,RCNNAcc=0.927,RCNNL1Loss=1.809
[Epoch 0][Batch 1599], Speed: 20.313 samples/sec, RPN_Conf=0.106,RPN_SmoothL1=0.074,RCNN_CrossEntropy=0.356,RCNN_SmoothL1=0.266,RPNAcc=0.954,RPNL1Loss=0.467,RCNNAcc=0.927,RCNNL1Loss=1.779
[Epoch 0][Batch 1699], Speed: 20.636 samples/sec, RPN_Conf=0.103,RPN_SmoothL1=0.074,RCNN_CrossEntropy=0.350,RCNN_SmoothL1=0.265,RPNAcc=0.955,RPNL1Loss=0.462,RCNNAcc=0.927,RCNNL1Loss=1.752
[Epoch 0][Batch 1799], Speed: 20.382 samples/sec, RPN_Conf=0.101,RPN_SmoothL1=0.073,RCNN_CrossEntropy=0.344,RCNN_SmoothL1=0.266,RPNAcc=0.956,RPNL1Loss=0.459,RCNNAcc=0.927,RCNNL1Loss=1.726
[Epoch 0][Batch 1899], Speed: 20.746 samples/sec, RPN_Conf=0.099,RPN_SmoothL1=0.073,RCNN_CrossEntropy=0.340,RCNN_SmoothL1=0.265,RPNAcc=0.958,RPNL1Loss=0.455,RCNNAcc=0.927,RCNNL1Loss=1.703
[Epoch 0][Batch 1999], Speed: 20.851 samples/sec, RPN_Conf=0.097,RPN_SmoothL1=0.072,RCNN_CrossEntropy=0.335,RCNN_SmoothL1=0.266,RPNAcc=0.959,RPNL1Loss=0.451,RCNNAcc=0.927,RCNNL1Loss=1.679
[Epoch 0][Batch 2099], Speed: 20.239 samples/sec, RPN_Conf=0.095,RPN_SmoothL1=0.072,RCNN_CrossEntropy=0.331,RCNN_SmoothL1=0.265,RPNAcc=0.960,RPNL1Loss=0.447,RCNNAcc=0.927,RCNNL1Loss=1.658
[Epoch 0][Batch 2199], Speed: 19.648 samples/sec, RPN_Conf=0.093,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.327,RCNN_SmoothL1=0.265,RPNAcc=0.960,RPNL1Loss=0.444,RCNNAcc=0.927,RCNNL1Loss=1.639
[Epoch 0][Batch 2299], Speed: 20.605 samples/sec, RPN_Conf=0.092,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.323,RCNN_SmoothL1=0.265,RPNAcc=0.961,RPNL1Loss=0.441,RCNNAcc=0.927,RCNNL1Loss=1.620
[Epoch 0][Batch 2399], Speed: 20.535 samples/sec, RPN_Conf=0.090,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.319,RCNN_SmoothL1=0.264,RPNAcc=0.962,RPNL1Loss=0.438,RCNNAcc=0.928,RCNNL1Loss=1.604
[Epoch 0][Batch 2499], Speed: 20.422 samples/sec, RPN_Conf=0.089,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.315,RCNN_SmoothL1=0.263,RPNAcc=0.963,RPNL1Loss=0.435,RCNNAcc=0.928,RCNNL1Loss=1.588
[Epoch 0][Batch 2599], Speed: 20.393 samples/sec, RPN_Conf=0.088,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.312,RCNN_SmoothL1=0.264,RPNAcc=0.963,RPNL1Loss=0.433,RCNNAcc=0.928,RCNNL1Loss=1.572
[Epoch 0][Batch 2699], Speed: 19.646 samples/sec, RPN_Conf=0.086,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.311,RCNN_SmoothL1=0.265,RPNAcc=0.964,RPNL1Loss=0.430,RCNNAcc=0.927,RCNNL1Loss=1.555
[Epoch 0][Batch 2799], Speed: 20.499 samples/sec, RPN_Conf=0.085,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.308,RCNN_SmoothL1=0.265,RPNAcc=0.964,RPNL1Loss=0.428,RCNNAcc=0.928,RCNNL1Loss=1.541
[Epoch 0][Batch 2899], Speed: 20.729 samples/sec, RPN_Conf=0.084,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.305,RCNN_SmoothL1=0.265,RPNAcc=0.965,RPNL1Loss=0.426,RCNNAcc=0.928,RCNNL1Loss=1.528
[Epoch 0][Batch 2999], Speed: 20.312 samples/sec, RPN_Conf=0.083,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.304,RCNN_SmoothL1=0.266,RPNAcc=0.965,RPNL1Loss=0.423,RCNNAcc=0.927,RCNNL1Loss=1.514
[Epoch 0][Batch 3099], Speed: 20.407 samples/sec, RPN_Conf=0.082,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.302,RCNN_SmoothL1=0.266,RPNAcc=0.966,RPNL1Loss=0.421,RCNNAcc=0.927,RCNNL1Loss=1.502
[Epoch 0][Batch 3199], Speed: 20.557 samples/sec, RPN_Conf=0.081,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.299,RCNN_SmoothL1=0.266,RPNAcc=0.966,RPNL1Loss=0.419,RCNNAcc=0.928,RCNNL1Loss=1.490
[Epoch 0][Batch 3299], Speed: 20.172 samples/sec, RPN_Conf=0.080,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.297,RCNN_SmoothL1=0.266,RPNAcc=0.967,RPNL1Loss=0.417,RCNNAcc=0.928,RCNNL1Loss=1.479
[Epoch 0][Batch 3399], Speed: 20.969 samples/sec, RPN_Conf=0.079,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.295,RCNN_SmoothL1=0.266,RPNAcc=0.967,RPNL1Loss=0.415,RCNNAcc=0.928,RCNNL1Loss=1.467
[Epoch 0][Batch 3499], Speed: 20.815 samples/sec, RPN_Conf=0.079,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.293,RCNN_SmoothL1=0.266,RPNAcc=0.967,RPNL1Loss=0.413,RCNNAcc=0.928,RCNNL1Loss=1.457
[Epoch 0][Batch 3599], Speed: 20.015 samples/sec, RPN_Conf=0.078,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.292,RCNN_SmoothL1=0.266,RPNAcc=0.968,RPNL1Loss=0.411,RCNNAcc=0.928,RCNNL1Loss=1.447
[Epoch 0][Batch 3699], Speed: 20.836 samples/sec, RPN_Conf=0.077,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.289,RCNN_SmoothL1=0.266,RPNAcc=0.968,RPNL1Loss=0.410,RCNNAcc=0.928,RCNNL1Loss=1.438
[Epoch 0][Batch 3799], Speed: 20.541 samples/sec, RPN_Conf=0.077,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.288,RCNN_SmoothL1=0.265,RPNAcc=0.968,RPNL1Loss=0.408,RCNNAcc=0.928,RCNNL1Loss=1.429
[Epoch 0][Batch 3899], Speed: 20.895 samples/sec, RPN_Conf=0.076,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.286,RCNN_SmoothL1=0.265,RPNAcc=0.969,RPNL1Loss=0.407,RCNNAcc=0.928,RCNNL1Loss=1.420
[Epoch 0][Batch 3999], Speed: 19.608 samples/sec, RPN_Conf=0.075,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.284,RCNN_SmoothL1=0.265,RPNAcc=0.969,RPNL1Loss=0.405,RCNNAcc=0.928,RCNNL1Loss=1.412
[Epoch 0][Batch 4099], Speed: 19.854 samples/sec, RPN_Conf=0.075,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.282,RCNN_SmoothL1=0.265,RPNAcc=0.969,RPNL1Loss=0.403,RCNNAcc=0.928,RCNNL1Loss=1.403
[Epoch 0][Batch 4199], Speed: 20.359 samples/sec, RPN_Conf=0.074,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.281,RCNN_SmoothL1=0.264,RPNAcc=0.970,RPNL1Loss=0.402,RCNNAcc=0.929,RCNNL1Loss=1.395
[Epoch 0][Batch 4299], Speed: 20.544 samples/sec, RPN_Conf=0.074,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.279,RCNN_SmoothL1=0.264,RPNAcc=0.970,RPNL1Loss=0.400,RCNNAcc=0.929,RCNNL1Loss=1.388
[Epoch 0][Batch 4399], Speed: 20.248 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.278,RCNN_SmoothL1=0.264,RPNAcc=0.970,RPNL1Loss=0.399,RCNNAcc=0.929,RCNNL1Loss=1.380
[Epoch 0][Batch 4499], Speed: 19.922 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.277,RCNN_SmoothL1=0.265,RPNAcc=0.970,RPNL1Loss=0.398,RCNNAcc=0.929,RCNNL1Loss=1.373
[Epoch 0][Batch 4599], Speed: 20.669 samples/sec, RPN_Conf=0.072,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.276,RCNN_SmoothL1=0.265,RPNAcc=0.971,RPNL1Loss=0.396,RCNNAcc=0.929,RCNNL1Loss=1.366
[Epoch 0][Batch 4699], Speed: 20.210 samples/sec, RPN_Conf=0.072,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.274,RCNN_SmoothL1=0.264,RPNAcc=0.971,RPNL1Loss=0.395,RCNNAcc=0.929,RCNNL1Loss=1.359
[Epoch 0][Batch 4799], Speed: 20.760 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.273,RCNN_SmoothL1=0.264,RPNAcc=0.971,RPNL1Loss=0.394,RCNNAcc=0.929,RCNNL1Loss=1.353
[Epoch 0][Batch 4899], Speed: 19.470 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.271,RCNN_SmoothL1=0.264,RPNAcc=0.971,RPNL1Loss=0.393,RCNNAcc=0.929,RCNNL1Loss=1.346
[Epoch 0][Batch 4999], Speed: 20.461 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.270,RCNN_SmoothL1=0.263,RPNAcc=0.971,RPNL1Loss=0.391,RCNNAcc=0.929,RCNNL1Loss=1.340
[Epoch 0][Batch 5099], Speed: 20.459 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.268,RCNN_SmoothL1=0.263,RPNAcc=0.972,RPNL1Loss=0.390,RCNNAcc=0.929,RCNNL1Loss=1.334
[Epoch 0][Batch 5199], Speed: 20.592 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.267,RCNN_SmoothL1=0.262,RPNAcc=0.972,RPNL1Loss=0.389,RCNNAcc=0.930,RCNNL1Loss=1.329
[Epoch 0][Batch 5299], Speed: 19.772 samples/sec, RPN_Conf=0.069,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.266,RCNN_SmoothL1=0.262,RPNAcc=0.972,RPNL1Loss=0.388,RCNNAcc=0.930,RCNNL1Loss=1.323
[Epoch 0][Batch 5399], Speed: 20.479 samples/sec, RPN_Conf=0.069,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.265,RCNN_SmoothL1=0.262,RPNAcc=0.972,RPNL1Loss=0.387,RCNNAcc=0.930,RCNNL1Loss=1.318
[Epoch 0][Batch 5499], Speed: 20.743 samples/sec, RPN_Conf=0.069,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.263,RCNN_SmoothL1=0.261,RPNAcc=0.972,RPNL1Loss=0.386,RCNNAcc=0.930,RCNNL1Loss=1.313
[Epoch 0][Batch 5599], Speed: 20.815 samples/sec, RPN_Conf=0.068,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.262,RCNN_SmoothL1=0.261,RPNAcc=0.972,RPNL1Loss=0.385,RCNNAcc=0.930,RCNNL1Loss=1.308
[Epoch 0][Batch 5699], Speed: 20.586 samples/sec, RPN_Conf=0.068,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.260,RCNN_SmoothL1=0.260,RPNAcc=0.973,RPNL1Loss=0.384,RCNNAcc=0.930,RCNNL1Loss=1.303
[Epoch 0][Batch 5799], Speed: 20.558 samples/sec, RPN_Conf=0.067,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.259,RCNN_SmoothL1=0.260,RPNAcc=0.973,RPNL1Loss=0.382,RCNNAcc=0.931,RCNNL1Loss=1.298
[Epoch 0][Batch 5899], Speed: 20.694 samples/sec, RPN_Conf=0.067,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.258,RCNN_SmoothL1=0.259,RPNAcc=0.973,RPNL1Loss=0.381,RCNNAcc=0.931,RCNNL1Loss=1.293
[Epoch 0][Batch 5999], Speed: 19.664 samples/sec, RPN_Conf=0.067,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.257,RCNN_SmoothL1=0.259,RPNAcc=0.973,RPNL1Loss=0.380,RCNNAcc=0.931,RCNNL1Loss=1.288
[Epoch 0][Batch 6099], Speed: 20.657 samples/sec, RPN_Conf=0.066,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.256,RCNN_SmoothL1=0.258,RPNAcc=0.973,RPNL1Loss=0.379,RCNNAcc=0.931,RCNNL1Loss=1.283
[Epoch 0][Batch 6199], Speed: 20.450 samples/sec, RPN_Conf=0.066,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.255,RCNN_SmoothL1=0.258,RPNAcc=0.973,RPNL1Loss=0.378,RCNNAcc=0.931,RCNNL1Loss=1.279
[Epoch 0][Batch 6299], Speed: 20.280 samples/sec, RPN_Conf=0.066,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.254,RCNN_SmoothL1=0.258,RPNAcc=0.973,RPNL1Loss=0.378,RCNNAcc=0.931,RCNNL1Loss=1.274
[Epoch 0][Batch 6399], Speed: 20.518 samples/sec, RPN_Conf=0.066,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.253,RCNN_SmoothL1=0.258,RPNAcc=0.974,RPNL1Loss=0.376,RCNNAcc=0.931,RCNNL1Loss=1.269
[Epoch 0][Batch 6499], Speed: 20.826 samples/sec, RPN_Conf=0.065,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.252,RCNN_SmoothL1=0.258,RPNAcc=0.974,RPNL1Loss=0.376,RCNNAcc=0.931,RCNNL1Loss=1.265
[Epoch 0][Batch 6599], Speed: 20.820 samples/sec, RPN_Conf=0.065,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.251,RCNN_SmoothL1=0.257,RPNAcc=0.974,RPNL1Loss=0.375,RCNNAcc=0.932,RCNNL1Loss=1.261
[Epoch 0][Batch 6699], Speed: 20.882 samples/sec, RPN_Conf=0.065,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.250,RCNN_SmoothL1=0.257,RPNAcc=0.974,RPNL1Loss=0.374,RCNNAcc=0.932,RCNNL1Loss=1.257
[Epoch 0][Batch 6799], Speed: 19.999 samples/sec, RPN_Conf=0.064,RPN_SmoothL1=0.063,RCNN_CrossEntropy=0.249,RCNN_SmoothL1=0.257,RPNAcc=0.974,RPNL1Loss=0.373,RCNNAcc=0.932,RCNNL1Loss=1.253
[Epoch 0][Batch 6899], Speed: 20.851 samples/sec, RPN_Conf=0.064,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.248,RCNN_SmoothL1=0.256,RPNAcc=0.974,RPNL1Loss=0.372,RCNNAcc=0.932,RCNNL1Loss=1.249
[Epoch 0][Batch 6999], Speed: 20.682 samples/sec, RPN_Conf=0.064,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.247,RCNN_SmoothL1=0.256,RPNAcc=0.974,RPNL1Loss=0.371,RCNNAcc=0.932,RCNNL1Loss=1.246
[Epoch 0][Batch 7099], Speed: 20.315 samples/sec, RPN_Conf=0.064,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.246,RCNN_SmoothL1=0.256,RPNAcc=0.975,RPNL1Loss=0.370,RCNNAcc=0.932,RCNNL1Loss=1.242
[Epoch 0][Batch 7199], Speed: 20.340 samples/sec, RPN_Conf=0.063,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.245,RCNN_SmoothL1=0.255,RPNAcc=0.975,RPNL1Loss=0.370,RCNNAcc=0.932,RCNNL1Loss=1.239
[Epoch 0][Batch 7299], Speed: 20.664 samples/sec, RPN_Conf=0.063,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.245,RCNN_SmoothL1=0.255,RPNAcc=0.975,RPNL1Loss=0.369,RCNNAcc=0.932,RCNNL1Loss=1.235
[Epoch 0] Training cost: 5772.259, RPN_Conf=0.063,RPN_SmoothL1=0.062,RCNN_CrossEntropy=0.245,RCNN_SmoothL1=0.255
[Epoch 0] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.236
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.452
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.221
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.144
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.268
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.287
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.222
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.379
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.408
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.244
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.449
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.502
person=41.3
bicycle=15.0
car=31.8
motorcycle=24.8
airplane=36.4
bus=41.8
train=40.1
truck=13.6
boat=13.3
traffic light=19.3
fire hydrant=45.2
stop sign=44.8
parking meter=29.6
bench=10.9
bird=22.6
cat=39.4
dog=37.8
horse=34.4
sheep=34.5
cow=31.0
elephant=46.3
bear=49.1
zebra=46.2
giraffe=42.5
backpack=5.4
umbrella=24.0
handbag=5.1
tie=13.4
suitcase=18.5
frisbee=45.5
skis=7.6
snowboard=12.1
sports ball=33.4
kite=18.9
baseball bat=18.4
baseball glove=24.4
skateboard=29.3
surfboard=18.9
tennis racket=28.5
bottle=27.8
wine glass=23.6
cup=31.3
fork=7.4
knife=4.8
spoon=5.5
bowl=26.0
banana=9.2
apple=7.9
sandwich=16.2
orange=20.2
broccoli=10.4
carrot=11.2
hot dog=12.0
pizza=29.8
donut=30.4
cake=18.1
chair=14.3
couch=20.1
potted plant=14.7
bed=27.1
dining table=12.4
toilet=38.5
tv=39.0
laptop=34.1
mouse=44.9
remote=10.6
keyboard=22.6
cell phone=16.6
microwave=35.4
oven=17.1
toaster=0.0
sink=21.7
refrigerator=25.7
book=8.4
clock=43.8
vase=22.7
scissors=7.1
teddy bear=23.1
hair drier=0.0
toothbrush=1.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=23.6
[Epoch 0] mAP 23.6 higher than current best [0] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 0] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0000_23.6000.params
[Epoch 1][Batch 99], Speed: 19.199 samples/sec, RPN_Conf=0.043,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.239,RPNAcc=0.975,RPNL1Loss=0.368,RCNNAcc=0.933,RCNNL1Loss=1.230
[Epoch 1][Batch 199], Speed: 20.803 samples/sec, RPN_Conf=0.043,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.240,RPNAcc=0.975,RPNL1Loss=0.367,RCNNAcc=0.933,RCNNL1Loss=1.226
[Epoch 1][Batch 299], Speed: 20.613 samples/sec, RPN_Conf=0.043,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.236,RPNAcc=0.975,RPNL1Loss=0.366,RCNNAcc=0.933,RCNNL1Loss=1.223
[Epoch 1][Batch 399], Speed: 20.469 samples/sec, RPN_Conf=0.043,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.234,RPNAcc=0.975,RPNL1Loss=0.365,RCNNAcc=0.933,RCNNL1Loss=1.220
[Epoch 1][Batch 499], Speed: 20.890 samples/sec, RPN_Conf=0.043,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.235,RPNAcc=0.975,RPNL1Loss=0.365,RCNNAcc=0.933,RCNNL1Loss=1.216
[Epoch 1][Batch 599], Speed: 20.815 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.235,RPNAcc=0.976,RPNL1Loss=0.364,RCNNAcc=0.933,RCNNL1Loss=1.213
[Epoch 1][Batch 699], Speed: 20.845 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.235,RPNAcc=0.976,RPNL1Loss=0.363,RCNNAcc=0.933,RCNNL1Loss=1.210
[Epoch 1][Batch 799], Speed: 20.666 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.362,RCNNAcc=0.933,RCNNL1Loss=1.206
[Epoch 1][Batch 899], Speed: 20.888 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.362,RCNNAcc=0.933,RCNNL1Loss=1.203
[Epoch 1][Batch 999], Speed: 20.552 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.361,RCNNAcc=0.934,RCNNL1Loss=1.200
[Epoch 1][Batch 1099], Speed: 20.500 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.360,RCNNAcc=0.934,RCNNL1Loss=1.197
[Epoch 1][Batch 1199], Speed: 20.309 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.360,RCNNAcc=0.934,RCNNL1Loss=1.194
[Epoch 1][Batch 1299], Speed: 20.736 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.359,RCNNAcc=0.934,RCNNL1Loss=1.192
[Epoch 1][Batch 1399], Speed: 20.592 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.359,RCNNAcc=0.934,RCNNL1Loss=1.189
[Epoch 1][Batch 1499], Speed: 20.191 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.234,RPNAcc=0.976,RPNL1Loss=0.358,RCNNAcc=0.934,RCNNL1Loss=1.186
[Epoch 1][Batch 1599], Speed: 20.715 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.233,RPNAcc=0.976,RPNL1Loss=0.357,RCNNAcc=0.934,RCNNL1Loss=1.183
[Epoch 1][Batch 1699], Speed: 20.528 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.233,RPNAcc=0.977,RPNL1Loss=0.357,RCNNAcc=0.934,RCNNL1Loss=1.181
[Epoch 1][Batch 1799], Speed: 20.674 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.232,RPNAcc=0.977,RPNL1Loss=0.356,RCNNAcc=0.934,RCNNL1Loss=1.178
[Epoch 1][Batch 1899], Speed: 19.657 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.233,RPNAcc=0.977,RPNL1Loss=0.356,RCNNAcc=0.934,RCNNL1Loss=1.176
[Epoch 1][Batch 1999], Speed: 19.927 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.233,RPNAcc=0.977,RPNL1Loss=0.355,RCNNAcc=0.934,RCNNL1Loss=1.173
[Epoch 1][Batch 2099], Speed: 20.352 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.232,RPNAcc=0.977,RPNL1Loss=0.354,RCNNAcc=0.935,RCNNL1Loss=1.171
[Epoch 1][Batch 2199], Speed: 20.560 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.354,RCNNAcc=0.935,RCNNL1Loss=1.168
[Epoch 1][Batch 2299], Speed: 20.640 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.353,RCNNAcc=0.935,RCNNL1Loss=1.166
[Epoch 1][Batch 2399], Speed: 20.263 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.353,RCNNAcc=0.935,RCNNL1Loss=1.163
[Epoch 1][Batch 2499], Speed: 20.878 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.352,RCNNAcc=0.935,RCNNL1Loss=1.161
[Epoch 1][Batch 2599], Speed: 20.520 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.352,RCNNAcc=0.935,RCNNL1Loss=1.159
[Epoch 1][Batch 2699], Speed: 20.778 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.351,RCNNAcc=0.935,RCNNL1Loss=1.156
[Epoch 1][Batch 2799], Speed: 20.787 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.350,RCNNAcc=0.935,RCNNL1Loss=1.154
[Epoch 1][Batch 2899], Speed: 20.883 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.977,RPNL1Loss=0.350,RCNNAcc=0.935,RCNNL1Loss=1.152
[Epoch 1][Batch 2999], Speed: 20.078 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.349,RCNNAcc=0.935,RCNNL1Loss=1.149
[Epoch 1][Batch 3099], Speed: 20.531 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.231,RPNAcc=0.978,RPNL1Loss=0.349,RCNNAcc=0.935,RCNNL1Loss=1.147
[Epoch 1][Batch 3199], Speed: 20.601 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.978,RPNL1Loss=0.348,RCNNAcc=0.935,RCNNL1Loss=1.145
[Epoch 1][Batch 3299], Speed: 20.712 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.978,RPNL1Loss=0.348,RCNNAcc=0.935,RCNNL1Loss=1.143
[Epoch 1][Batch 3399], Speed: 20.543 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.978,RPNL1Loss=0.347,RCNNAcc=0.935,RCNNL1Loss=1.141
[Epoch 1][Batch 3499], Speed: 20.468 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.231,RPNAcc=0.978,RPNL1Loss=0.347,RCNNAcc=0.936,RCNNL1Loss=1.138
[Epoch 1][Batch 3599], Speed: 20.771 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.346,RCNNAcc=0.936,RCNNL1Loss=1.136
[Epoch 1][Batch 3699], Speed: 19.759 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.346,RCNNAcc=0.936,RCNNL1Loss=1.135
[Epoch 1][Batch 3799], Speed: 20.476 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.345,RCNNAcc=0.936,RCNNL1Loss=1.132
[Epoch 1][Batch 3899], Speed: 20.279 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.345,RCNNAcc=0.936,RCNNL1Loss=1.130
[Epoch 1][Batch 3999], Speed: 20.848 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.936,RCNNL1Loss=1.129
[Epoch 1][Batch 4099], Speed: 20.901 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.936,RCNNL1Loss=1.127
[Epoch 1][Batch 4199], Speed: 20.994 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.936,RCNNL1Loss=1.125
[Epoch 1][Batch 4299], Speed: 20.227 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.936,RCNNL1Loss=1.123
[Epoch 1][Batch 4399], Speed: 20.142 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.936,RCNNL1Loss=1.121
[Epoch 1][Batch 4499], Speed: 20.822 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.978,RPNL1Loss=0.342,RCNNAcc=0.936,RCNNL1Loss=1.119
[Epoch 1][Batch 4599], Speed: 20.643 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.978,RPNL1Loss=0.342,RCNNAcc=0.936,RCNNL1Loss=1.117
[Epoch 1][Batch 4699], Speed: 20.207 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.978,RPNL1Loss=0.341,RCNNAcc=0.936,RCNNL1Loss=1.116
[Epoch 1][Batch 4799], Speed: 20.720 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.341,RCNNAcc=0.936,RCNNL1Loss=1.114
[Epoch 1][Batch 4899], Speed: 20.772 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.341,RCNNAcc=0.936,RCNNL1Loss=1.113
[Epoch 1][Batch 4999], Speed: 20.920 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.340,RCNNAcc=0.936,RCNNL1Loss=1.111
[Epoch 1][Batch 5099], Speed: 20.828 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.340,RCNNAcc=0.936,RCNNL1Loss=1.109
[Epoch 1][Batch 5199], Speed: 21.004 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.339,RCNNAcc=0.937,RCNNL1Loss=1.107
[Epoch 1][Batch 5299], Speed: 20.412 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.339,RCNNAcc=0.937,RCNNL1Loss=1.106
[Epoch 1][Batch 5399], Speed: 20.137 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.339,RCNNAcc=0.937,RCNNL1Loss=1.104
[Epoch 1][Batch 5499], Speed: 20.548 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.937,RCNNL1Loss=1.102
[Epoch 1][Batch 5599], Speed: 20.009 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.937,RCNNL1Loss=1.101
[Epoch 1][Batch 5699], Speed: 20.919 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.937,RCNNL1Loss=1.099
[Epoch 1][Batch 5799], Speed: 20.040 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.937,RCNNL1Loss=1.098
[Epoch 1][Batch 5899], Speed: 20.951 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.937,RCNNL1Loss=1.096
[Epoch 1][Batch 5999], Speed: 20.461 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.937,RCNNL1Loss=1.094
[Epoch 1][Batch 6099], Speed: 20.397 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.937,RCNNL1Loss=1.093
[Epoch 1][Batch 6199], Speed: 20.259 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.937,RCNNL1Loss=1.091
[Epoch 1][Batch 6299], Speed: 20.759 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.937,RCNNL1Loss=1.090
[Epoch 1][Batch 6399], Speed: 20.891 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.937,RCNNL1Loss=1.088
[Epoch 1][Batch 6499], Speed: 20.922 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.937,RCNNL1Loss=1.087
[Epoch 1][Batch 6599], Speed: 20.985 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.937,RCNNL1Loss=1.085
[Epoch 1][Batch 6699], Speed: 20.549 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.937,RCNNL1Loss=1.084
[Epoch 1][Batch 6799], Speed: 20.646 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.937,RCNNL1Loss=1.082
[Epoch 1][Batch 6899], Speed: 20.976 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.937,RCNNL1Loss=1.081
[Epoch 1][Batch 6999], Speed: 19.952 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.937,RCNNL1Loss=1.079
[Epoch 1][Batch 7099], Speed: 20.453 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.980,RPNL1Loss=0.333,RCNNAcc=0.937,RCNNL1Loss=1.078
[Epoch 1][Batch 7199], Speed: 20.017 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.980,RPNL1Loss=0.332,RCNNAcc=0.937,RCNNL1Loss=1.077
[Epoch 1][Batch 7299], Speed: 20.733 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229,RPNAcc=0.980,RPNL1Loss=0.332,RCNNAcc=0.937,RCNNL1Loss=1.075
[Epoch 1] Training cost: 5710.957, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.229
[Epoch 1] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.291
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.506
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.299
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.174
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.324
 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 ] = 0.257
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.429
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.294
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.499
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.554
person=45.6
bicycle=22.3
car=32.3
motorcycle=32.3
airplane=46.1
bus=54.8
train=48.9
truck=17.4
boat=18.4
traffic light=22.0
fire hydrant=50.3
stop sign=60.3
parking meter=37.5
bench=15.5
bird=23.3
cat=47.6
dog=45.6
horse=38.2
sheep=31.4
cow=46.6
elephant=48.2
bear=55.8
zebra=53.0
giraffe=55.0
backpack=8.9
umbrella=27.8
handbag=7.8
tie=20.4
suitcase=22.5
frisbee=52.8
skis=11.8
snowboard=16.1
sports ball=31.8
kite=32.0
baseball bat=18.4
baseball glove=30.6
skateboard=39.5
surfboard=23.8
tennis racket=31.7
bottle=31.8
wine glass=28.7
cup=34.7
fork=18.8
knife=6.7
spoon=8.9
bowl=32.2
banana=13.9
apple=12.6
sandwich=24.5
orange=17.3
broccoli=17.1
carrot=10.8
hot dog=19.0
pizza=40.1
donut=34.6
cake=21.6
chair=17.6
couch=30.6
potted plant=17.0
bed=27.8
dining table=17.4
toilet=44.2
tv=46.9
laptop=44.6
mouse=49.9
remote=18.5
keyboard=40.0
cell phone=24.6
microwave=40.3
oven=22.7
toaster=0.0
sink=26.9
refrigerator=37.3
book=9.2
clock=45.8
vase=29.7
scissors=9.1
teddy bear=23.8
hair drier=0.0
toothbrush=7.2
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=29.1
[Epoch 1] mAP 29.1 higher than current best [23.6] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 1] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0001_29.1000.params
[Epoch 2][Batch 99], Speed: 19.534 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.980,RPNL1Loss=0.332,RCNNAcc=0.938,RCNNL1Loss=1.073
[Epoch 2][Batch 199], Speed: 20.900 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.216,RPNAcc=0.980,RPNL1Loss=0.331,RCNNAcc=0.938,RCNNL1Loss=1.072
[Epoch 2][Batch 299], Speed: 19.991 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.331,RCNNAcc=0.938,RCNNL1Loss=1.070
[Epoch 2][Batch 399], Speed: 20.490 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.938,RCNNL1Loss=1.069
[Epoch 2][Batch 499], Speed: 20.488 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.938,RCNNL1Loss=1.067
[Epoch 2][Batch 599], Speed: 20.333 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.938,RCNNL1Loss=1.066
[Epoch 2][Batch 699], Speed: 20.233 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.222,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.938,RCNNL1Loss=1.064
[Epoch 2][Batch 799], Speed: 20.153 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.222,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.938,RCNNL1Loss=1.063
[Epoch 2][Batch 899], Speed: 20.087 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.222,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.938,RCNNL1Loss=1.062
[Epoch 2][Batch 999], Speed: 20.383 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.222,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.938,RCNNL1Loss=1.061
[Epoch 2][Batch 1099], Speed: 20.301 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.938,RCNNL1Loss=1.059
[Epoch 2][Batch 1199], Speed: 20.859 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.938,RCNNL1Loss=1.058
[Epoch 2][Batch 1299], Speed: 19.537 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.938,RCNNL1Loss=1.056
[Epoch 2][Batch 1399], Speed: 20.463 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.938,RCNNL1Loss=1.055
[Epoch 2][Batch 1499], Speed: 20.373 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.938,RCNNL1Loss=1.054
[Epoch 2][Batch 1599], Speed: 20.372 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.938,RCNNL1Loss=1.053
[Epoch 2][Batch 1699], Speed: 20.911 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.938,RCNNL1Loss=1.051
[Epoch 2][Batch 1799], Speed: 20.449 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.938,RCNNL1Loss=1.050
[Epoch 2][Batch 1899], Speed: 20.295 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.938,RCNNL1Loss=1.049
[Epoch 2][Batch 1999], Speed: 19.900 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.938,RCNNL1Loss=1.048
[Epoch 2][Batch 2099], Speed: 20.229 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.939,RCNNL1Loss=1.046
[Epoch 2][Batch 2199], Speed: 20.857 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.939,RCNNL1Loss=1.045
[Epoch 2][Batch 2299], Speed: 19.566 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.939,RCNNL1Loss=1.044
[Epoch 2][Batch 2399], Speed: 20.831 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.221,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.939,RCNNL1Loss=1.043
[Epoch 2][Batch 2499], Speed: 20.937 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.221,RPNAcc=0.981,RPNL1Loss=0.324,RCNNAcc=0.939,RCNNL1Loss=1.042
[Epoch 2][Batch 2599], Speed: 19.776 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.981,RPNL1Loss=0.323,RCNNAcc=0.939,RCNNL1Loss=1.041
[Epoch 2][Batch 2699], Speed: 20.598 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.981,RPNL1Loss=0.323,RCNNAcc=0.939,RCNNL1Loss=1.040
[Epoch 2][Batch 2799], Speed: 20.612 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.981,RPNL1Loss=0.323,RCNNAcc=0.939,RCNNL1Loss=1.038
[Epoch 2][Batch 2899], Speed: 20.826 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.220,RPNAcc=0.981,RPNL1Loss=0.323,RCNNAcc=0.939,RCNNL1Loss=1.037
[Epoch 2][Batch 2999], Speed: 20.525 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.219,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.939,RCNNL1Loss=1.036
[Epoch 2][Batch 3099], Speed: 20.450 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.219,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.939,RCNNL1Loss=1.035
[Epoch 2][Batch 3199], Speed: 19.782 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.219,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.939,RCNNL1Loss=1.034
[Epoch 2][Batch 3299], Speed: 19.836 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.939,RCNNL1Loss=1.033
[Epoch 2][Batch 3399], Speed: 20.713 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.939,RCNNL1Loss=1.032
[Epoch 2][Batch 3499], Speed: 20.788 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.939,RCNNL1Loss=1.031
[Epoch 2][Batch 3599], Speed: 20.820 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.939,RCNNL1Loss=1.030
[Epoch 2][Batch 3699], Speed: 20.457 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.939,RCNNL1Loss=1.029
[Epoch 2][Batch 3799], Speed: 20.844 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.939,RCNNL1Loss=1.028
[Epoch 2][Batch 3899], Speed: 20.438 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.939,RCNNL1Loss=1.026
[Epoch 2][Batch 3999], Speed: 19.345 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.939,RCNNL1Loss=1.025
[Epoch 2][Batch 4099], Speed: 20.191 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.939,RCNNL1Loss=1.025
[Epoch 2][Batch 4199], Speed: 20.835 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.939,RCNNL1Loss=1.023
[Epoch 2][Batch 4299], Speed: 20.743 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.940,RCNNL1Loss=1.022
[Epoch 2][Batch 4399], Speed: 20.929 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.940,RCNNL1Loss=1.021
[Epoch 2][Batch 4499], Speed: 20.831 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.940,RCNNL1Loss=1.020
[Epoch 2][Batch 4599], Speed: 20.336 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.940,RCNNL1Loss=1.019
[Epoch 2][Batch 4699], Speed: 20.832 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.940,RCNNL1Loss=1.018
[Epoch 2][Batch 4799], Speed: 20.831 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.940,RCNNL1Loss=1.017
[Epoch 2][Batch 4899], Speed: 20.155 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.940,RCNNL1Loss=1.017
[Epoch 2][Batch 4999], Speed: 20.298 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.940,RCNNL1Loss=1.016
[Epoch 2][Batch 5099], Speed: 20.386 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.940,RCNNL1Loss=1.015
[Epoch 2][Batch 5199], Speed: 19.868 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.940,RCNNL1Loss=1.014
[Epoch 2][Batch 5299], Speed: 20.581 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.940,RCNNL1Loss=1.013
[Epoch 2][Batch 5399], Speed: 19.857 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.940,RCNNL1Loss=1.012
[Epoch 2][Batch 5499], Speed: 20.855 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.940,RCNNL1Loss=1.011
[Epoch 2][Batch 5599], Speed: 20.333 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.940,RCNNL1Loss=1.010
[Epoch 2][Batch 5699], Speed: 19.816 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.940,RCNNL1Loss=1.009
[Epoch 2][Batch 5799], Speed: 20.579 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.217,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.940,RCNNL1Loss=1.008
[Epoch 2][Batch 5899], Speed: 20.802 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.940,RCNNL1Loss=1.007
[Epoch 2][Batch 5999], Speed: 20.502 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.940,RCNNL1Loss=1.007
[Epoch 2][Batch 6099], Speed: 20.343 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.940,RCNNL1Loss=1.006
[Epoch 2][Batch 6199], Speed: 20.309 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.940,RCNNL1Loss=1.005
[Epoch 2][Batch 6299], Speed: 20.801 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.315,RCNNAcc=0.940,RCNNL1Loss=1.004
[Epoch 2][Batch 6399], Speed: 20.122 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.940,RCNNL1Loss=1.003
[Epoch 2][Batch 6499], Speed: 20.643 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.940,RCNNL1Loss=1.002
[Epoch 2][Batch 6599], Speed: 20.346 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.940,RCNNL1Loss=1.002
[Epoch 2][Batch 6699], Speed: 20.715 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.940,RCNNL1Loss=1.001
[Epoch 2][Batch 6799], Speed: 19.819 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.940,RCNNL1Loss=1.000
[Epoch 2][Batch 6899], Speed: 20.654 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.940,RCNNL1Loss=0.999
[Epoch 2][Batch 6999], Speed: 19.800 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.940,RCNNL1Loss=0.998
[Epoch 2][Batch 7099], Speed: 20.598 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.940,RCNNL1Loss=0.997
[Epoch 2][Batch 7199], Speed: 20.456 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.940,RCNNL1Loss=0.996
[Epoch 2][Batch 7299], Speed: 20.422 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.940,RCNNL1Loss=0.996
[Epoch 2] Training cost: 5752.009, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.218
[Epoch 2] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.308
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.522
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.323
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.200
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.345
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.395
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.272
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.445
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.474
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.311
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.513
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.589
person=48.2
bicycle=22.3
car=37.5
motorcycle=34.0
airplane=51.4
bus=47.2
train=52.8
truck=23.6
boat=19.1
traffic light=22.3
fire hydrant=53.6
stop sign=58.6
parking meter=37.7
bench=17.5
bird=25.9
cat=54.1
dog=48.5
horse=42.9
sheep=36.8
cow=30.6
elephant=37.3
bear=58.7
zebra=51.3
giraffe=52.6
backpack=9.4
umbrella=27.8
handbag=8.5
tie=23.4
suitcase=27.9
frisbee=54.3
skis=14.1
snowboard=27.3
sports ball=38.6
kite=33.0
baseball bat=16.1
baseball glove=33.3
skateboard=38.5
surfboard=23.3
tennis racket=34.6
bottle=34.0
wine glass=27.1
cup=34.6
fork=21.0
knife=9.5
spoon=8.9
bowl=33.7
banana=17.0
apple=10.4
sandwich=22.9
orange=22.2
broccoli=16.5
carrot=17.2
hot dog=19.5
pizza=45.4
donut=30.8
cake=29.1
chair=19.0
couch=30.8
potted plant=17.6
bed=33.3
dining table=19.4
toilet=47.5
tv=47.2
laptop=44.6
mouse=56.9
remote=23.5
keyboard=37.5
cell phone=25.8
microwave=43.1
oven=22.5
toaster=6.9
sink=27.4
refrigerator=43.5
book=10.4
clock=46.2
vase=30.8
scissors=11.9
teddy bear=28.7
hair drier=0.0
toothbrush=11.9
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=30.8
[Epoch 2] mAP 30.8 higher than current best [29.1] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 2] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0002_30.8000.params
[Epoch 3][Batch 99], Speed: 19.356 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.217,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.940,RCNNL1Loss=0.995
[Epoch 3][Batch 199], Speed: 20.254 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.205,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.940,RCNNL1Loss=0.994
[Epoch 3][Batch 299], Speed: 20.448 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.203,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.940,RCNNL1Loss=0.993
[Epoch 3][Batch 399], Speed: 19.837 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.205,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.941,RCNNL1Loss=0.992
[Epoch 3][Batch 499], Speed: 20.596 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.205,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.941,RCNNL1Loss=0.991
[Epoch 3][Batch 599], Speed: 20.872 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.941,RCNNL1Loss=0.990
[Epoch 3][Batch 699], Speed: 19.922 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.941,RCNNL1Loss=0.990
[Epoch 3][Batch 799], Speed: 20.909 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.941,RCNNL1Loss=0.989
[Epoch 3][Batch 899], Speed: 20.889 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.205,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.941,RCNNL1Loss=0.988
[Epoch 3][Batch 999], Speed: 20.898 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.941,RCNNL1Loss=0.987
[Epoch 3][Batch 1099], Speed: 20.757 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.941,RCNNL1Loss=0.986
[Epoch 3][Batch 1199], Speed: 19.941 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.206,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.941,RCNNL1Loss=0.985
[Epoch 3][Batch 1299], Speed: 20.300 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.941,RCNNL1Loss=0.985
[Epoch 3][Batch 1399], Speed: 20.378 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.941,RCNNL1Loss=0.984
[Epoch 3][Batch 1499], Speed: 20.819 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.941,RCNNL1Loss=0.983
[Epoch 3][Batch 1599], Speed: 19.819 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.941,RCNNL1Loss=0.982
[Epoch 3][Batch 1699], Speed: 19.828 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.941,RCNNL1Loss=0.981
[Epoch 3][Batch 1799], Speed: 20.747 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.941,RCNNL1Loss=0.981
[Epoch 3][Batch 1899], Speed: 20.728 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.980
[Epoch 3][Batch 1999], Speed: 20.435 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.979
[Epoch 3][Batch 2099], Speed: 20.432 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.978
[Epoch 3][Batch 2199], Speed: 20.096 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.977
[Epoch 3][Batch 2299], Speed: 20.459 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.977
[Epoch 3][Batch 2399], Speed: 20.546 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.941,RCNNL1Loss=0.976
[Epoch 3][Batch 2499], Speed: 20.575 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.941,RCNNL1Loss=0.975
[Epoch 3][Batch 2599], Speed: 20.424 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.941,RCNNL1Loss=0.974
[Epoch 3][Batch 2699], Speed: 20.716 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.941,RCNNL1Loss=0.974
[Epoch 3][Batch 2799], Speed: 19.696 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.941,RCNNL1Loss=0.973
[Epoch 3][Batch 2899], Speed: 20.887 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.941,RCNNL1Loss=0.972
[Epoch 3][Batch 2999], Speed: 20.300 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.941,RCNNL1Loss=0.972
[Epoch 3][Batch 3099], Speed: 20.588 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.941,RCNNL1Loss=0.971
[Epoch 3][Batch 3199], Speed: 20.321 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.941,RCNNL1Loss=0.970
[Epoch 3][Batch 3299], Speed: 20.481 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.941,RCNNL1Loss=0.970
[Epoch 3][Batch 3399], Speed: 20.884 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.941,RCNNL1Loss=0.969
[Epoch 3][Batch 3499], Speed: 20.699 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.942,RCNNL1Loss=0.968
[Epoch 3][Batch 3599], Speed: 20.053 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.968
[Epoch 3][Batch 3699], Speed: 20.269 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.967
[Epoch 3][Batch 3799], Speed: 20.373 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.966
[Epoch 3][Batch 3899], Speed: 19.993 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.966
[Epoch 3][Batch 3999], Speed: 20.253 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.983,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.965
[Epoch 3][Batch 4099], Speed: 20.782 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.305,RCNNAcc=0.942,RCNNL1Loss=0.964
[Epoch 3][Batch 4199], Speed: 19.728 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.964
[Epoch 3][Batch 4299], Speed: 20.753 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.963
[Epoch 3][Batch 4399], Speed: 20.673 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.962
[Epoch 3][Batch 4499], Speed: 20.448 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.962
[Epoch 3][Batch 4599], Speed: 20.487 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.961
[Epoch 3][Batch 4699], Speed: 20.634 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.942,RCNNL1Loss=0.960
[Epoch 3][Batch 4799], Speed: 20.437 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.960
[Epoch 3][Batch 4899], Speed: 19.963 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.959
[Epoch 3][Batch 4999], Speed: 20.830 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.959
[Epoch 3][Batch 5099], Speed: 20.995 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.958
[Epoch 3][Batch 5199], Speed: 20.719 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.957
[Epoch 3][Batch 5299], Speed: 20.863 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.942,RCNNL1Loss=0.957
[Epoch 3][Batch 5399], Speed: 20.389 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.956
[Epoch 3][Batch 5499], Speed: 20.249 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.955
[Epoch 3][Batch 5599], Speed: 20.815 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.955
[Epoch 3][Batch 5699], Speed: 20.013 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.954
[Epoch 3][Batch 5799], Speed: 19.630 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.954
[Epoch 3][Batch 5899], Speed: 20.598 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.953
[Epoch 3][Batch 5999], Speed: 20.245 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.942,RCNNL1Loss=0.953
[Epoch 3][Batch 6099], Speed: 20.869 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.952
[Epoch 3][Batch 6199], Speed: 20.764 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.952
[Epoch 3][Batch 6299], Speed: 20.818 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.951
[Epoch 3][Batch 6399], Speed: 20.863 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.950
[Epoch 3][Batch 6499], Speed: 20.375 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.950
[Epoch 3][Batch 6599], Speed: 20.556 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.949
[Epoch 3][Batch 6699], Speed: 20.410 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.942,RCNNL1Loss=0.949
[Epoch 3][Batch 6799], Speed: 20.882 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.948
[Epoch 3][Batch 6899], Speed: 20.962 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.948
[Epoch 3][Batch 6999], Speed: 20.820 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.947
[Epoch 3][Batch 7099], Speed: 20.843 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.946
[Epoch 3][Batch 7199], Speed: 20.821 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.946
[Epoch 3][Batch 7299], Speed: 19.591 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.942,RCNNL1Loss=0.945
[Epoch 3] Training cost: 5734.003, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211
[Epoch 3] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.329
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.539
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.351
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.196
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.366
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.414
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.282
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.467
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.500
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.324
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.547
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.598
person=48.5
bicycle=20.2
car=38.0
motorcycle=35.3
airplane=51.0
bus=51.1
train=51.8
truck=24.9
boat=19.7
traffic light=23.8
fire hydrant=60.4
stop sign=58.5
parking meter=40.2
bench=18.9
bird=29.5
cat=52.3
dog=46.5
horse=48.3
sheep=39.2
cow=38.4
elephant=53.6
bear=62.1
zebra=58.7
giraffe=55.3
backpack=9.1
umbrella=28.5
handbag=10.3
tie=27.2
suitcase=27.9
frisbee=56.5
skis=12.6
snowboard=21.2
sports ball=37.9
kite=32.7
baseball bat=23.5
baseball glove=30.7
skateboard=38.3
surfboard=27.1
tennis racket=38.8
bottle=33.3
wine glass=29.9
cup=37.0
fork=22.6
knife=13.1
spoon=12.5
bowl=36.0
banana=18.8
apple=11.5
sandwich=24.3
orange=27.1
broccoli=17.5
carrot=15.3
hot dog=23.8
pizza=39.8
donut=40.8
cake=28.8
chair=21.3
couch=32.5
potted plant=22.1
bed=33.7
dining table=20.5
toilet=48.1
tv=47.4
laptop=51.5
mouse=53.5
remote=26.3
keyboard=41.8
cell phone=28.6
microwave=52.8
oven=25.7
toaster=12.8
sink=31.4
refrigerator=43.7
book=11.9
clock=44.2
vase=31.3
scissors=19.2
teddy bear=34.7
hair drier=0.0
toothbrush=17.1
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=32.9
[Epoch 3] mAP 32.9 higher than current best [30.8] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 3] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0003_32.9000.params
[Epoch 4][Batch 99], Speed: 19.182 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.205,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.944
[Epoch 4][Batch 199], Speed: 20.478 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.944
[Epoch 4][Batch 299], Speed: 20.177 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.943
[Epoch 4][Batch 399], Speed: 20.762 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.942
[Epoch 4][Batch 499], Speed: 20.352 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.942
[Epoch 4][Batch 599], Speed: 20.861 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.942,RCNNL1Loss=0.941
[Epoch 4][Batch 699], Speed: 20.587 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.941
[Epoch 4][Batch 799], Speed: 20.854 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.940
[Epoch 4][Batch 899], Speed: 20.588 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.940
[Epoch 4][Batch 999], Speed: 20.629 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.939
[Epoch 4][Batch 1099], Speed: 19.826 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.938
[Epoch 4][Batch 1199], Speed: 20.537 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.942,RCNNL1Loss=0.938
[Epoch 4][Batch 1299], Speed: 19.903 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.943,RCNNL1Loss=0.937
[Epoch 4][Batch 1399], Speed: 20.120 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.937
[Epoch 4][Batch 1499], Speed: 20.732 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.936
[Epoch 4][Batch 1599], Speed: 20.291 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.936
[Epoch 4][Batch 1699], Speed: 20.715 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.935
[Epoch 4][Batch 1799], Speed: 20.882 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.934
[Epoch 4][Batch 1899], Speed: 20.200 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.934
[Epoch 4][Batch 1999], Speed: 20.780 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.943,RCNNL1Loss=0.933
[Epoch 4][Batch 2099], Speed: 20.589 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.933
[Epoch 4][Batch 2199], Speed: 20.764 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.932
[Epoch 4][Batch 2299], Speed: 20.891 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.932
[Epoch 4][Batch 2399], Speed: 19.376 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.931
[Epoch 4][Batch 2499], Speed: 20.466 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.931
[Epoch 4][Batch 2599], Speed: 20.263 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.930
[Epoch 4][Batch 2699], Speed: 19.424 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.930
[Epoch 4][Batch 2799], Speed: 20.250 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.943,RCNNL1Loss=0.929
[Epoch 4][Batch 2899], Speed: 19.998 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.929
[Epoch 4][Batch 2999], Speed: 20.540 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.928
[Epoch 4][Batch 3099], Speed: 20.376 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.928
[Epoch 4][Batch 3199], Speed: 20.787 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.927
[Epoch 4][Batch 3299], Speed: 20.270 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.927
[Epoch 4][Batch 3399], Speed: 19.800 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.926
[Epoch 4][Batch 3499], Speed: 20.499 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.926
[Epoch 4][Batch 3599], Speed: 20.789 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.295,RCNNAcc=0.943,RCNNL1Loss=0.925
[Epoch 4][Batch 3699], Speed: 20.829 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.924
[Epoch 4][Batch 3799], Speed: 20.968 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.924
[Epoch 4][Batch 3899], Speed: 19.657 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.923
[Epoch 4][Batch 3999], Speed: 20.110 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.923
[Epoch 4][Batch 4099], Speed: 20.145 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.922
[Epoch 4][Batch 4199], Speed: 20.752 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.922
[Epoch 4][Batch 4299], Speed: 19.774 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.921
[Epoch 4][Batch 4399], Speed: 20.726 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.943,RCNNL1Loss=0.921
[Epoch 4][Batch 4499], Speed: 19.899 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.920
[Epoch 4][Batch 4599], Speed: 20.201 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.920
[Epoch 4][Batch 4699], Speed: 20.661 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.920
[Epoch 4][Batch 4799], Speed: 20.759 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.919
[Epoch 4][Batch 4899], Speed: 19.962 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.919
[Epoch 4][Batch 4999], Speed: 20.316 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.918
[Epoch 4][Batch 5099], Speed: 20.300 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.918
[Epoch 4][Batch 5199], Speed: 20.209 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.943,RCNNL1Loss=0.917
[Epoch 4][Batch 5299], Speed: 20.606 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.917
[Epoch 4][Batch 5399], Speed: 20.258 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.916
[Epoch 4][Batch 5499], Speed: 20.041 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.916
[Epoch 4][Batch 5599], Speed: 20.714 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.915
[Epoch 4][Batch 5699], Speed: 20.686 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.915
[Epoch 4][Batch 5799], Speed: 20.099 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.914
[Epoch 4][Batch 5899], Speed: 20.712 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.914
[Epoch 4][Batch 5999], Speed: 20.551 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.914
[Epoch 4][Batch 6099], Speed: 20.307 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.943,RCNNL1Loss=0.913
[Epoch 4][Batch 6199], Speed: 20.512 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.913
[Epoch 4][Batch 6299], Speed: 20.164 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.912
[Epoch 4][Batch 6399], Speed: 20.466 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.912
[Epoch 4][Batch 6499], Speed: 19.869 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.911
[Epoch 4][Batch 6599], Speed: 20.186 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.911
[Epoch 4][Batch 6699], Speed: 20.768 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.911
[Epoch 4][Batch 6799], Speed: 20.425 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.910
[Epoch 4][Batch 6899], Speed: 20.514 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.910
[Epoch 4][Batch 6999], Speed: 20.972 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.943,RCNNL1Loss=0.909
[Epoch 4][Batch 7099], Speed: 20.444 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.909
[Epoch 4][Batch 7199], Speed: 20.779 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.909
[Epoch 4][Batch 7299], Speed: 20.609 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.908
[Epoch 4] Training cost: 5754.354, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213
[Epoch 4] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.342
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.560
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.366
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.221
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.374
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.431
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.291
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.476
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.506
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.342
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.546
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.621
person=49.5
bicycle=26.5
car=40.2
motorcycle=37.1
airplane=56.3
bus=58.5
train=52.0
truck=24.0
boat=20.7
traffic light=23.1
fire hydrant=60.2
stop sign=59.4
parking meter=36.7
bench=18.8
bird=29.4
cat=55.8
dog=50.3
horse=46.6
sheep=43.1
cow=47.3
elephant=51.3
bear=53.7
zebra=57.9
giraffe=58.9
backpack=11.7
umbrella=31.9
handbag=9.9
tie=27.0
suitcase=28.2
frisbee=61.2
skis=16.5
snowboard=34.4
sports ball=38.1
kite=36.0
baseball bat=24.0
baseball glove=32.1
skateboard=44.8
surfboard=26.1
tennis racket=36.5
bottle=34.2
wine glass=30.7
cup=38.1
fork=27.7
knife=13.0
spoon=10.9
bowl=34.9
banana=18.5
apple=17.0
sandwich=23.3
orange=23.1
broccoli=20.1
carrot=18.8
hot dog=23.1
pizza=44.0
donut=38.8
cake=27.7
chair=23.4
couch=30.7
potted plant=19.6
bed=30.0
dining table=21.5
toilet=52.6
tv=50.2
laptop=51.2
mouse=53.7
remote=26.7
keyboard=42.1
cell phone=29.4
microwave=51.1
oven=26.2
toaster=30.6
sink=30.8
refrigerator=46.4
book=12.9
clock=45.0
vase=35.2
scissors=18.9
teddy bear=33.0
hair drier=0.0
toothbrush=16.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.2
[Epoch 4] mAP 34.2 higher than current best [32.9] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 4] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0004_34.2000.params
[Epoch 5][Batch 99], Speed: 19.244 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.205,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.908
[Epoch 5][Batch 199], Speed: 20.746 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.210,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.907
[Epoch 5][Batch 299], Speed: 20.917 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.907
[Epoch 5][Batch 399], Speed: 20.743 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.906
[Epoch 5][Batch 499], Speed: 20.900 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.906
[Epoch 5][Batch 599], Speed: 20.848 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.943,RCNNL1Loss=0.905
[Epoch 5][Batch 699], Speed: 20.416 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.905
[Epoch 5][Batch 799], Speed: 19.929 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.904
[Epoch 5][Batch 899], Speed: 19.854 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.904
[Epoch 5][Batch 999], Speed: 20.093 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.903
[Epoch 5][Batch 1099], Speed: 20.676 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.903
[Epoch 5][Batch 1199], Speed: 20.631 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.903
[Epoch 5][Batch 1299], Speed: 19.832 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.902
[Epoch 5][Batch 1399], Speed: 20.521 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.902
[Epoch 5][Batch 1499], Speed: 20.365 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.943,RCNNL1Loss=0.901
[Epoch 5][Batch 1599], Speed: 20.814 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.901
[Epoch 5][Batch 1699], Speed: 19.859 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.900
[Epoch 5][Batch 1799], Speed: 20.772 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.900
[Epoch 5][Batch 1899], Speed: 20.291 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.900
[Epoch 5][Batch 1999], Speed: 20.349 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.899
[Epoch 5][Batch 2099], Speed: 20.204 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.899
[Epoch 5][Batch 2199], Speed: 19.738 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.943,RCNNL1Loss=0.898
[Epoch 5][Batch 2299], Speed: 20.653 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.944,RCNNL1Loss=0.898
[Epoch 5][Batch 2399], Speed: 20.126 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.944,RCNNL1Loss=0.898
[Epoch 5][Batch 2499], Speed: 20.878 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.897
[Epoch 5][Batch 2599], Speed: 20.376 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.897
[Epoch 5][Batch 2699], Speed: 20.401 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.896
[Epoch 5][Batch 2799], Speed: 20.861 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.896
[Epoch 5][Batch 2899], Speed: 20.579 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.895
[Epoch 5][Batch 2999], Speed: 20.794 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.895
[Epoch 5][Batch 3099], Speed: 20.251 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.895
[Epoch 5][Batch 3199], Speed: 20.848 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.894
[Epoch 5][Batch 3299], Speed: 20.290 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.894
[Epoch 5][Batch 3399], Speed: 20.350 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.944,RCNNL1Loss=0.893
[Epoch 5][Batch 3499], Speed: 20.808 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.893
[Epoch 5][Batch 3599], Speed: 20.855 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.893
[Epoch 5][Batch 3699], Speed: 20.345 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.892
[Epoch 5][Batch 3799], Speed: 20.182 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.892
[Epoch 5][Batch 3899], Speed: 20.788 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.892
[Epoch 5][Batch 3999], Speed: 19.943 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.891
[Epoch 5][Batch 4099], Speed: 20.208 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.891
[Epoch 5][Batch 4199], Speed: 20.577 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.890
[Epoch 5][Batch 4299], Speed: 20.177 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.890
[Epoch 5][Batch 4399], Speed: 20.412 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.890
[Epoch 5][Batch 4499], Speed: 19.963 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.944,RCNNL1Loss=0.889
[Epoch 5][Batch 4599], Speed: 20.692 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.889
[Epoch 5][Batch 4699], Speed: 20.793 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.889
[Epoch 5][Batch 4799], Speed: 20.527 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.888
[Epoch 5][Batch 4899], Speed: 20.429 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.888
[Epoch 5][Batch 4999], Speed: 20.870 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.888
[Epoch 5][Batch 5099], Speed: 20.989 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.887
[Epoch 5][Batch 5199], Speed: 20.806 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.887
[Epoch 5][Batch 5299], Speed: 20.135 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.887
[Epoch 5][Batch 5399], Speed: 20.719 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.886
[Epoch 5][Batch 5499], Speed: 20.154 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.886
[Epoch 5][Batch 5599], Speed: 20.692 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.944,RCNNL1Loss=0.885
[Epoch 5][Batch 5699], Speed: 20.112 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.885
[Epoch 5][Batch 5799], Speed: 20.005 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.885
[Epoch 5][Batch 5899], Speed: 20.117 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.884
[Epoch 5][Batch 5999], Speed: 20.129 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.884
[Epoch 5][Batch 6099], Speed: 20.607 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.884
[Epoch 5][Batch 6199], Speed: 20.488 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.883
[Epoch 5][Batch 6299], Speed: 20.386 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.883
[Epoch 5][Batch 6399], Speed: 20.580 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.883
[Epoch 5][Batch 6499], Speed: 20.272 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.882
[Epoch 5][Batch 6599], Speed: 19.472 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.882
[Epoch 5][Batch 6699], Speed: 20.168 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.882
[Epoch 5][Batch 6799], Speed: 20.388 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.944,RCNNL1Loss=0.882
[Epoch 5][Batch 6899], Speed: 20.432 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.881
[Epoch 5][Batch 6999], Speed: 20.741 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.881
[Epoch 5][Batch 7099], Speed: 19.914 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.881
[Epoch 5][Batch 7199], Speed: 20.780 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.880
[Epoch 5][Batch 7299], Speed: 20.202 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.880
[Epoch 5] Training cost: 5747.165, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214
[Epoch 5] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.353
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.564
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.381
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.215
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.391
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.453
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.298
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.483
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.513
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.341
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.552
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.628
person=50.6
bicycle=26.7
car=38.0
motorcycle=39.7
airplane=55.6
bus=57.9
train=55.5
truck=27.4
boat=21.1
traffic light=23.1
fire hydrant=57.1
stop sign=60.7
parking meter=43.2
bench=19.7
bird=28.3
cat=57.6
dog=54.4
horse=52.4
sheep=41.1
cow=45.8
elephant=54.8
bear=60.2
zebra=59.8
giraffe=60.5
backpack=10.6
umbrella=34.3
handbag=12.2
tie=30.1
suitcase=35.9
frisbee=60.7
skis=14.0
snowboard=33.1
sports ball=36.1
kite=37.7
baseball bat=26.3
baseball glove=33.6
skateboard=47.5
surfboard=33.3
tennis racket=40.1
bottle=36.1
wine glass=32.1
cup=38.0
fork=28.8
knife=14.8
spoon=10.3
bowl=33.8
banana=21.7
apple=14.9
sandwich=23.2
orange=21.1
broccoli=17.9
carrot=18.6
hot dog=27.0
pizza=47.0
donut=39.8
cake=29.9
chair=23.9
couch=32.2
potted plant=24.4
bed=31.0
dining table=23.6
toilet=47.2
tv=48.6
laptop=51.5
mouse=57.2
remote=24.8
keyboard=45.5
cell phone=27.5
microwave=49.1
oven=29.1
toaster=29.6
sink=30.7
refrigerator=47.3
book=12.7
clock=47.1
vase=34.2
scissors=21.1
teddy bear=39.0
hair drier=0.0
toothbrush=16.9
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.3
[Epoch 5] mAP 35.3 higher than current best [34.2] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 5] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0005_35.3000.params
[Epoch 6][Batch 99], Speed: 18.511 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.880
[Epoch 6][Batch 199], Speed: 20.541 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.879
[Epoch 6][Batch 299], Speed: 20.803 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.879
[Epoch 6][Batch 399], Speed: 19.920 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.878
[Epoch 6][Batch 499], Speed: 19.936 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.878
[Epoch 6][Batch 599], Speed: 19.940 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.216,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.944,RCNNL1Loss=0.878
[Epoch 6][Batch 699], Speed: 20.637 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.216,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.877
[Epoch 6][Batch 799], Speed: 20.421 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.877
[Epoch 6][Batch 899], Speed: 20.634 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.877
[Epoch 6][Batch 999], Speed: 20.419 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.876
[Epoch 6][Batch 1099], Speed: 20.436 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.876
[Epoch 6][Batch 1199], Speed: 20.345 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.876
[Epoch 6][Batch 1299], Speed: 20.479 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.875
[Epoch 6][Batch 1399], Speed: 20.093 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.875
[Epoch 6][Batch 1499], Speed: 20.326 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.875
[Epoch 6][Batch 1599], Speed: 20.061 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.874
[Epoch 6][Batch 1699], Speed: 20.721 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.944,RCNNL1Loss=0.874
[Epoch 6][Batch 1799], Speed: 20.540 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.874
[Epoch 6][Batch 1899], Speed: 19.850 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.873
[Epoch 6][Batch 1999], Speed: 19.649 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.873
[Epoch 6][Batch 2099], Speed: 20.317 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.872
[Epoch 6][Batch 2199], Speed: 20.500 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.872
[Epoch 6][Batch 2299], Speed: 20.717 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.872
[Epoch 6][Batch 2399], Speed: 20.384 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.871
[Epoch 6][Batch 2499], Speed: 20.190 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.871
[Epoch 6][Batch 2599], Speed: 20.072 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.210,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.871
[Epoch 6][Batch 2699], Speed: 19.777 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.870
[Epoch 6][Batch 2799], Speed: 20.605 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.870
[Epoch 6][Batch 2899], Speed: 20.605 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.944,RCNNL1Loss=0.870
[Epoch 6][Batch 2999], Speed: 20.580 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.869
[Epoch 6][Batch 3099], Speed: 20.028 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.869
[Epoch 6][Batch 3199], Speed: 20.698 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.869
[Epoch 6][Batch 3299], Speed: 20.090 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.869
[Epoch 6][Batch 3399], Speed: 20.893 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.868
[Epoch 6][Batch 3499], Speed: 20.577 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.211,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.868
[Epoch 6][Batch 3599], Speed: 20.760 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.868
[Epoch 6][Batch 3699], Speed: 20.729 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.867
[Epoch 6][Batch 3799], Speed: 19.975 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.867
[Epoch 6][Batch 3899], Speed: 19.976 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.867
[Epoch 6][Batch 3999], Speed: 20.896 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.867
[Epoch 6][Batch 4099], Speed: 20.780 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.866
[Epoch 6][Batch 4199], Speed: 20.166 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.944,RCNNL1Loss=0.866
[Epoch 6][Batch 4299], Speed: 19.845 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.866
[Epoch 6][Batch 4399], Speed: 20.526 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.865
[Epoch 6][Batch 4499], Speed: 20.330 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.865
[Epoch 6][Batch 4599], Speed: 20.591 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.865
[Epoch 6][Batch 4699], Speed: 20.465 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.865
[Epoch 6][Batch 4799], Speed: 20.608 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.864
[Epoch 6][Batch 4899], Speed: 20.006 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.864
[Epoch 6][Batch 4999], Speed: 20.100 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.864
[Epoch 6][Batch 5099], Speed: 20.358 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.863
[Epoch 6][Batch 5199], Speed: 20.435 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.863
[Epoch 6][Batch 5299], Speed: 19.660 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.863
[Epoch 6][Batch 5399], Speed: 20.235 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.862
[Epoch 6][Batch 5499], Speed: 20.710 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.862
[Epoch 6][Batch 5599], Speed: 20.156 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.944,RCNNL1Loss=0.862
[Epoch 6][Batch 5699], Speed: 19.920 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.862
[Epoch 6][Batch 5799], Speed: 20.837 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.861
[Epoch 6][Batch 5899], Speed: 20.530 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.861
[Epoch 6][Batch 5999], Speed: 20.140 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.861
[Epoch 6][Batch 6099], Speed: 19.795 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.861
[Epoch 6][Batch 6199], Speed: 20.684 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.860
[Epoch 6][Batch 6299], Speed: 20.774 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.860
[Epoch 6][Batch 6399], Speed: 20.809 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.860
[Epoch 6][Batch 6499], Speed: 20.755 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.860
[Epoch 6][Batch 6599], Speed: 20.411 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.859
[Epoch 6][Batch 6699], Speed: 20.820 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.859
[Epoch 6][Batch 6799], Speed: 20.917 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.859
[Epoch 6][Batch 6899], Speed: 20.386 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.859
[Epoch 6][Batch 6999], Speed: 20.587 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.944,RCNNL1Loss=0.858
[Epoch 6][Batch 7099], Speed: 20.152 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.858
[Epoch 6][Batch 7199], Speed: 20.835 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.858
[Epoch 6][Batch 7299], Speed: 20.284 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.857
[Epoch 6] Training cost: 5762.266, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.214
[Epoch 6] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.345
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.558
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.372
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.214
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.385
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.440
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.293
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.479
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.514
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.349
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.558
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.615
person=50.3
bicycle=25.8
car=37.8
motorcycle=37.1
airplane=56.0
bus=56.7
train=55.0
truck=26.9
boat=19.5
traffic light=24.2
fire hydrant=58.5
stop sign=56.9
parking meter=33.8
bench=20.9
bird=28.2
cat=57.8
dog=48.0
horse=49.9
sheep=42.2
cow=47.9
elephant=51.5
bear=66.6
zebra=61.2
giraffe=54.6
backpack=11.0
umbrella=32.5
handbag=11.6
tie=29.3
suitcase=34.7
frisbee=59.4
skis=17.6
snowboard=31.7
sports ball=39.5
kite=36.8
baseball bat=24.5
baseball glove=34.9
skateboard=46.4
surfboard=30.0
tennis racket=42.1
bottle=34.3
wine glass=31.5
cup=36.0
fork=23.6
knife=11.6
spoon=14.0
bowl=35.2
banana=19.4
apple=16.4
sandwich=22.4
orange=27.8
broccoli=19.8
carrot=19.1
hot dog=25.6
pizza=44.5
donut=41.9
cake=28.9
chair=23.5
couch=34.3
potted plant=23.9
bed=30.6
dining table=21.9
toilet=48.3
tv=46.1
laptop=52.7
mouse=51.7
remote=29.2
keyboard=45.1
cell phone=27.4
microwave=45.3
oven=27.4
toaster=18.3
sink=33.6
refrigerator=42.0
book=11.9
clock=46.9
vase=31.1
scissors=20.4
teddy bear=34.3
hair drier=0.0
toothbrush=16.0
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.5
[Epoch 6] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0006_34.5000.params
[Epoch 7][Batch 99], Speed: 19.094 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.857
[Epoch 7][Batch 199], Speed: 20.568 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.857
[Epoch 7][Batch 299], Speed: 20.294 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.857
[Epoch 7][Batch 399], Speed: 20.659 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.216,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.856
[Epoch 7][Batch 499], Speed: 20.505 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.856
[Epoch 7][Batch 599], Speed: 20.609 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.856
[Epoch 7][Batch 699], Speed: 20.928 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.217,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.855
[Epoch 7][Batch 799], Speed: 20.785 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.216,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.855
[Epoch 7][Batch 899], Speed: 20.805 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.855
[Epoch 7][Batch 999], Speed: 19.782 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.854
[Epoch 7][Batch 1099], Speed: 20.810 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.944,RCNNL1Loss=0.854
[Epoch 7][Batch 1199], Speed: 20.001 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.854
[Epoch 7][Batch 1299], Speed: 20.733 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.854
[Epoch 7][Batch 1399], Speed: 20.732 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.853
[Epoch 7][Batch 1499], Speed: 20.841 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.215,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.853
[Epoch 7][Batch 1599], Speed: 21.001 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.853
[Epoch 7][Batch 1699], Speed: 20.875 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.852
[Epoch 7][Batch 1799], Speed: 20.080 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.852
[Epoch 7][Batch 1899], Speed: 20.701 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.852
[Epoch 7][Batch 1999], Speed: 20.938 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.852
[Epoch 7][Batch 2099], Speed: 20.940 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.851
[Epoch 7][Batch 2199], Speed: 20.064 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.851
[Epoch 7][Batch 2299], Speed: 19.665 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.851
[Epoch 7][Batch 2399], Speed: 19.549 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.944,RCNNL1Loss=0.850
[Epoch 7][Batch 2499], Speed: 20.653 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.850
[Epoch 7][Batch 2599], Speed: 20.940 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.850
[Epoch 7][Batch 2699], Speed: 20.527 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.850
[Epoch 7][Batch 2799], Speed: 20.711 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.849
[Epoch 7][Batch 2899], Speed: 20.878 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.849
[Epoch 7][Batch 2999], Speed: 20.824 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.849
[Epoch 7][Batch 3099], Speed: 20.843 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.849
[Epoch 7][Batch 3199], Speed: 20.071 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.848
[Epoch 7][Batch 3299], Speed: 19.859 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.848
[Epoch 7][Batch 3399], Speed: 20.309 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.848
[Epoch 7][Batch 3499], Speed: 20.616 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.848
[Epoch 7][Batch 3599], Speed: 20.849 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.944,RCNNL1Loss=0.847
[Epoch 7][Batch 3699], Speed: 20.345 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.945,RCNNL1Loss=0.847
[Epoch 7][Batch 3799], Speed: 20.459 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.945,RCNNL1Loss=0.847
[Epoch 7][Batch 3899], Speed: 19.620 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.213,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.945,RCNNL1Loss=0.847
[Epoch 7][Batch 3999], Speed: 20.252 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.846
[Epoch 7][Batch 4099], Speed: 20.951 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.846
[Epoch 7][Batch 4199], Speed: 20.224 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.846
[Epoch 7][Batch 4299], Speed: 20.397 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.846
[Epoch 7][Batch 4399], Speed: 20.999 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.845
[Epoch 7][Batch 4499], Speed: 19.897 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.845
[Epoch 7][Batch 4599], Speed: 20.195 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.845
[Epoch 7][Batch 4699], Speed: 20.420 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.845
[Epoch 7][Batch 4799], Speed: 20.843 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.844
[Epoch 7][Batch 4899], Speed: 20.830 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.844
[Epoch 7][Batch 4999], Speed: 20.099 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.844
[Epoch 7][Batch 5099], Speed: 20.691 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.844
[Epoch 7][Batch 5199], Speed: 20.601 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.843
[Epoch 7][Batch 5299], Speed: 20.315 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.843
[Epoch 7][Batch 5399], Speed: 20.547 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.843
[Epoch 7][Batch 5499], Speed: 20.737 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.843
[Epoch 7][Batch 5599], Speed: 20.975 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.945,RCNNL1Loss=0.843
[Epoch 7][Batch 5699], Speed: 20.826 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.842
[Epoch 7][Batch 5799], Speed: 20.838 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.842
[Epoch 7][Batch 5899], Speed: 19.963 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.842
[Epoch 7][Batch 5999], Speed: 20.638 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.842
[Epoch 7][Batch 6099], Speed: 19.855 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.841
[Epoch 7][Batch 6199], Speed: 20.249 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.841
[Epoch 7][Batch 6299], Speed: 20.222 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.841
[Epoch 7][Batch 6399], Speed: 20.792 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.841
[Epoch 7][Batch 6499], Speed: 20.123 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.841
[Epoch 7][Batch 6599], Speed: 19.406 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.840
[Epoch 7][Batch 6699], Speed: 20.778 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.840
[Epoch 7][Batch 6799], Speed: 20.933 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.840
[Epoch 7][Batch 6899], Speed: 20.568 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.840
[Epoch 7][Batch 6999], Speed: 20.368 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.839
[Epoch 7][Batch 7099], Speed: 20.753 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.839
[Epoch 7][Batch 7199], Speed: 20.167 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.839
[Epoch 7][Batch 7299], Speed: 20.143 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212,RPNAcc=0.985,RPNL1Loss=0.273,RCNNAcc=0.945,RCNNL1Loss=0.839
[Epoch 7] Training cost: 5733.214, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.212
[Epoch 7] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.341
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.545
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.366
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.201
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.380
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.445
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.292
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.472
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.502
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.313
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.540
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.628
person=49.8
bicycle=27.0
car=40.1
motorcycle=37.4
airplane=54.5
bus=53.8
train=57.1
truck=28.7
boat=21.4
traffic light=23.3
fire hydrant=58.9
stop sign=56.0
parking meter=39.7
bench=19.6
bird=27.4
cat=55.4
dog=38.3
horse=44.4
sheep=16.5
cow=36.3
elephant=52.1
bear=47.7
zebra=56.1
giraffe=60.2
backpack=13.5
umbrella=34.1
handbag=12.1
tie=28.5
suitcase=32.9
frisbee=59.0
skis=17.8
snowboard=31.9
sports ball=39.8
kite=34.6
baseball bat=24.7
baseball glove=32.2
skateboard=49.4
surfboard=31.8
tennis racket=43.6
bottle=33.1
wine glass=33.9
cup=37.9
fork=29.6
knife=13.7
spoon=17.1
bowl=37.1
banana=21.3
apple=16.5
sandwich=24.7
orange=24.0
broccoli=18.5
carrot=18.8
hot dog=21.1
pizza=41.6
donut=37.9
cake=26.0
chair=23.8
couch=34.1
potted plant=22.1
bed=32.6
dining table=22.4
toilet=53.6
tv=46.6
laptop=53.4
mouse=59.7
remote=25.5
keyboard=47.2
cell phone=31.6
microwave=51.7
oven=26.6
toaster=13.4
sink=30.0
refrigerator=43.7
book=12.3
clock=46.0
vase=31.0
scissors=19.6
teddy bear=35.2
hair drier=0.0
toothbrush=21.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.1
[Epoch 7] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0007_34.1000.params
[Epoch 8][Batch 99], Speed: 19.379 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.214,RPNAcc=0.985,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.838
[Epoch 8][Batch 199], Speed: 20.688 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.838
[Epoch 8][Batch 299], Speed: 20.799 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.838
[Epoch 8][Batch 399], Speed: 20.362 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.838
[Epoch 8][Batch 499], Speed: 20.573 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.837
[Epoch 8][Batch 599], Speed: 20.641 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.837
[Epoch 8][Batch 699], Speed: 20.002 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.837
[Epoch 8][Batch 799], Speed: 20.126 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.837
[Epoch 8][Batch 899], Speed: 20.749 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.836
[Epoch 8][Batch 999], Speed: 20.013 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.836
[Epoch 8][Batch 1099], Speed: 19.801 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.836
[Epoch 8][Batch 1199], Speed: 19.937 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.836
[Epoch 8][Batch 1299], Speed: 20.361 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.836
[Epoch 8][Batch 1399], Speed: 20.449 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.835
[Epoch 8][Batch 1499], Speed: 20.482 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.945,RCNNL1Loss=0.835
[Epoch 8][Batch 1599], Speed: 20.456 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.835
[Epoch 8][Batch 1699], Speed: 20.188 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.835
[Epoch 8][Batch 1799], Speed: 20.318 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.834
[Epoch 8][Batch 1899], Speed: 20.548 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.834
[Epoch 8][Batch 1999], Speed: 20.684 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.834
[Epoch 8][Batch 2099], Speed: 20.563 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.834
[Epoch 8][Batch 2199], Speed: 20.552 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.833
[Epoch 8][Batch 2299], Speed: 20.787 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.833
[Epoch 8][Batch 2399], Speed: 19.868 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.833
[Epoch 8][Batch 2499], Speed: 20.576 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.833
[Epoch 8][Batch 2599], Speed: 20.303 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.832
[Epoch 8][Batch 2699], Speed: 20.659 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.832
[Epoch 8][Batch 2799], Speed: 20.841 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.832
[Epoch 8][Batch 2899], Speed: 20.825 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.832
[Epoch 8][Batch 2999], Speed: 20.862 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.832
[Epoch 8][Batch 3099], Speed: 20.757 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.831
[Epoch 8][Batch 3199], Speed: 20.864 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.831
[Epoch 8][Batch 3299], Speed: 20.189 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.945,RCNNL1Loss=0.831
[Epoch 8][Batch 3399], Speed: 20.437 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.831
[Epoch 8][Batch 3499], Speed: 20.231 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.831
[Epoch 8][Batch 3599], Speed: 20.535 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.830
[Epoch 8][Batch 3699], Speed: 20.862 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.830
[Epoch 8][Batch 3799], Speed: 20.245 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.830
[Epoch 8][Batch 3899], Speed: 20.885 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.830
[Epoch 8][Batch 3999], Speed: 19.333 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.829
[Epoch 8][Batch 4099], Speed: 20.328 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.829
[Epoch 8][Batch 4199], Speed: 20.572 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.829
[Epoch 8][Batch 4299], Speed: 20.706 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.829
[Epoch 8][Batch 4399], Speed: 20.753 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.829
[Epoch 8][Batch 4499], Speed: 19.801 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.828
[Epoch 8][Batch 4599], Speed: 20.440 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.828
[Epoch 8][Batch 4699], Speed: 20.189 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.828
[Epoch 8][Batch 4799], Speed: 20.799 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.828
[Epoch 8][Batch 4899], Speed: 20.171 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.828
[Epoch 8][Batch 4999], Speed: 20.840 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.827
[Epoch 8][Batch 5099], Speed: 20.368 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.945,RCNNL1Loss=0.827
[Epoch 8][Batch 5199], Speed: 20.636 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.827
[Epoch 8][Batch 5299], Speed: 20.310 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.827
[Epoch 8][Batch 5399], Speed: 20.425 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.827
[Epoch 8][Batch 5499], Speed: 19.850 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.826
[Epoch 8][Batch 5599], Speed: 20.742 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.826
[Epoch 8][Batch 5699], Speed: 20.486 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.826
[Epoch 8][Batch 5799], Speed: 20.850 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.826
[Epoch 8][Batch 5899], Speed: 20.348 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.826
[Epoch 8][Batch 5999], Speed: 20.615 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6099], Speed: 20.970 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6199], Speed: 20.566 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6299], Speed: 20.903 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6399], Speed: 20.941 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6499], Speed: 20.792 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.825
[Epoch 8][Batch 6599], Speed: 20.866 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.824
[Epoch 8][Batch 6699], Speed: 20.388 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.824
[Epoch 8][Batch 6799], Speed: 20.448 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.824
[Epoch 8][Batch 6899], Speed: 20.714 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.824
[Epoch 8][Batch 6999], Speed: 20.782 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.824
[Epoch 8][Batch 7099], Speed: 19.144 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.823
[Epoch 8][Batch 7199], Speed: 20.575 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.945,RCNNL1Loss=0.823
[Epoch 8][Batch 7299], Speed: 20.611 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.823
[Epoch 8] Training cost: 5733.534, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.213
[Epoch 8] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.354
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.563
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.382
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.218
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.391
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.451
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.299
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.485
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.516
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.334
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.560
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.633
person=50.3
bicycle=29.0
car=41.2
motorcycle=37.1
airplane=58.6
bus=55.3
train=53.7
truck=24.1
boat=20.0
traffic light=24.0
fire hydrant=62.0
stop sign=60.5
parking meter=36.9
bench=20.3
bird=30.1
cat=57.4
dog=51.6
horse=51.2
sheep=40.2
cow=49.6
elephant=57.2
bear=61.8
zebra=60.3
giraffe=53.6
backpack=9.7
umbrella=33.1
handbag=14.1
tie=26.8
suitcase=34.4
frisbee=60.7
skis=17.5
snowboard=27.2
sports ball=39.3
kite=36.6
baseball bat=28.3
baseball glove=34.4
skateboard=45.3
surfboard=30.9
tennis racket=43.5
bottle=34.8
wine glass=33.4
cup=39.2
fork=28.4
knife=16.3
spoon=14.8
bowl=35.5
banana=20.6
apple=14.0
sandwich=26.3
orange=22.2
broccoli=22.7
carrot=18.8
hot dog=24.2
pizza=42.2
donut=37.9
cake=33.4
chair=23.2
couch=32.4
potted plant=25.8
bed=34.8
dining table=23.9
toilet=53.0
tv=47.9
laptop=55.2
mouse=57.4
remote=28.1
keyboard=44.7
cell phone=29.2
microwave=49.7
oven=30.2
toaster=14.3
sink=32.7
refrigerator=46.6
book=12.2
clock=47.5
vase=33.9
scissors=18.5
teddy bear=38.2
hair drier=0.0
toothbrush=22.2
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.4
[Epoch 8] mAP 35.4 higher than current best [35.3] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 8] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0008_35.4000.params
[Epoch 9][Batch 99], Speed: 19.369 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.823
[Epoch 9][Batch 199], Speed: 20.719 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.823
[Epoch 9][Batch 299], Speed: 20.500 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.822
[Epoch 9][Batch 399], Speed: 20.336 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.822
[Epoch 9][Batch 499], Speed: 20.754 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.822
[Epoch 9][Batch 599], Speed: 20.122 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.822
[Epoch 9][Batch 699], Speed: 20.648 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.821
[Epoch 9][Batch 799], Speed: 20.764 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.821
[Epoch 9][Batch 899], Speed: 19.982 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.821
[Epoch 9][Batch 999], Speed: 20.605 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.821
[Epoch 9][Batch 1099], Speed: 20.555 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.821
[Epoch 9][Batch 1199], Speed: 19.826 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.820
[Epoch 9][Batch 1299], Speed: 20.410 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.820
[Epoch 9][Batch 1399], Speed: 20.316 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.820
[Epoch 9][Batch 1499], Speed: 20.399 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.820
[Epoch 9][Batch 1599], Speed: 20.525 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.819
[Epoch 9][Batch 1699], Speed: 20.547 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.945,RCNNL1Loss=0.819
[Epoch 9][Batch 1799], Speed: 20.838 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.819
[Epoch 9][Batch 1899], Speed: 19.943 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.819
[Epoch 9][Batch 1999], Speed: 20.523 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.819
[Epoch 9][Batch 2099], Speed: 20.207 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.818
[Epoch 9][Batch 2199], Speed: 20.441 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.818
[Epoch 9][Batch 2299], Speed: 20.226 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.818
[Epoch 9][Batch 2399], Speed: 20.436 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.818
[Epoch 9][Batch 2499], Speed: 20.123 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.818
[Epoch 9][Batch 2599], Speed: 19.443 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.817
[Epoch 9][Batch 2699], Speed: 20.129 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.817
[Epoch 9][Batch 2799], Speed: 20.549 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.817
[Epoch 9][Batch 2899], Speed: 20.869 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.817
[Epoch 9][Batch 2999], Speed: 20.731 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.817
[Epoch 9][Batch 3099], Speed: 20.593 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3199], Speed: 20.476 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3299], Speed: 20.057 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3399], Speed: 20.811 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3499], Speed: 20.449 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3599], Speed: 20.563 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.945,RCNNL1Loss=0.816
[Epoch 9][Batch 3699], Speed: 20.758 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.815
[Epoch 9][Batch 3799], Speed: 20.953 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.815
[Epoch 9][Batch 3899], Speed: 20.611 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.815
[Epoch 9][Batch 3999], Speed: 20.242 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.815
[Epoch 9][Batch 4099], Speed: 19.692 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.815
[Epoch 9][Batch 4199], Speed: 20.507 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4299], Speed: 20.845 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4399], Speed: 20.871 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4499], Speed: 20.549 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4599], Speed: 20.301 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4699], Speed: 20.374 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.814
[Epoch 9][Batch 4799], Speed: 19.774 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 4899], Speed: 20.178 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 4999], Speed: 20.582 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 5099], Speed: 21.008 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 5199], Speed: 20.777 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 5299], Speed: 20.414 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.813
[Epoch 9][Batch 5399], Speed: 20.434 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5499], Speed: 19.891 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5599], Speed: 19.778 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5699], Speed: 20.409 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5799], Speed: 20.530 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5899], Speed: 20.800 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.945,RCNNL1Loss=0.812
[Epoch 9][Batch 5999], Speed: 20.456 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6099], Speed: 19.486 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6199], Speed: 20.413 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6299], Speed: 20.822 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6399], Speed: 19.874 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6499], Speed: 20.342 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6599], Speed: 20.136 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.811
[Epoch 9][Batch 6699], Speed: 20.854 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 6799], Speed: 20.721 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 6899], Speed: 20.896 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 6999], Speed: 20.465 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 7099], Speed: 20.247 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 7199], Speed: 20.101 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.810
[Epoch 9][Batch 7299], Speed: 20.874 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.809
[Epoch 9] Training cost: 5749.268, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211
[Epoch 9] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.355
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.560
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.383
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.218
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.390
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.436
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.301
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.493
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.527
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.347
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.571
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.628
person=52.0
bicycle=26.2
car=41.3
motorcycle=40.9
airplane=57.7
bus=59.6
train=58.2
truck=28.3
boat=21.1
traffic light=22.2
fire hydrant=63.0
stop sign=60.0
parking meter=36.3
bench=20.2
bird=27.4
cat=55.4
dog=50.8
horse=52.0
sheep=49.2
cow=51.1
elephant=59.4
bear=61.2
zebra=59.8
giraffe=61.7
backpack=11.5
umbrella=33.3
handbag=12.4
tie=29.9
suitcase=32.4
frisbee=58.5
skis=18.6
snowboard=30.9
sports ball=37.6
kite=38.5
baseball bat=31.6
baseball glove=31.4
skateboard=43.8
surfboard=31.2
tennis racket=43.3
bottle=35.2
wine glass=30.4
cup=40.1
fork=34.7
knife=15.3
spoon=12.0
bowl=33.7
banana=22.9
apple=18.2
sandwich=27.3
orange=22.5
broccoli=22.3
carrot=15.7
hot dog=18.4
pizza=45.1
donut=34.5
cake=32.5
chair=22.0
couch=34.9
potted plant=23.5
bed=30.5
dining table=23.9
toilet=54.7
tv=48.1
laptop=51.5
mouse=59.4
remote=28.0
keyboard=42.6
cell phone=24.8
microwave=50.1
oven=28.3
toaster=12.6
sink=31.9
refrigerator=48.3
book=11.6
clock=45.5
vase=33.6
scissors=16.8
teddy bear=37.6
hair drier=0.0
toothbrush=15.2
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.5
[Epoch 9] mAP 35.5 higher than current best [35.4] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 9] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0009_35.5000.params
[Epoch 10][Batch 99], Speed: 19.128 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.202,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.809
[Epoch 10][Batch 199], Speed: 20.818 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.143,RCNN_SmoothL1=0.202,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.809
[Epoch 10][Batch 299], Speed: 20.945 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.206,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.809
[Epoch 10][Batch 399], Speed: 20.890 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.809
[Epoch 10][Batch 499], Speed: 20.479 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.808
[Epoch 10][Batch 599], Speed: 20.834 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.808
[Epoch 10][Batch 699], Speed: 20.972 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.808
[Epoch 10][Batch 799], Speed: 20.957 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.808
[Epoch 10][Batch 899], Speed: 20.860 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.945,RCNNL1Loss=0.808
[Epoch 10][Batch 999], Speed: 20.654 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1099], Speed: 20.431 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1199], Speed: 19.876 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1299], Speed: 20.363 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1399], Speed: 19.819 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1499], Speed: 20.306 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.807
[Epoch 10][Batch 1599], Speed: 20.208 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.806
[Epoch 10][Batch 1699], Speed: 20.179 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.806
[Epoch 10][Batch 1799], Speed: 20.899 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.806
[Epoch 10][Batch 1899], Speed: 20.714 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.806
[Epoch 10][Batch 1999], Speed: 20.005 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.806
[Epoch 10][Batch 2099], Speed: 19.792 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2199], Speed: 20.188 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2299], Speed: 20.665 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2399], Speed: 20.842 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2499], Speed: 20.625 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2599], Speed: 20.506 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.805
[Epoch 10][Batch 2699], Speed: 20.388 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 2799], Speed: 20.999 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 2899], Speed: 19.599 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 2999], Speed: 20.799 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 3099], Speed: 20.150 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 3199], Speed: 20.282 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.804
[Epoch 10][Batch 3299], Speed: 19.620 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3399], Speed: 20.759 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3499], Speed: 20.577 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3599], Speed: 20.275 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3699], Speed: 20.325 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3799], Speed: 20.740 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.803
[Epoch 10][Batch 3899], Speed: 20.824 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 3999], Speed: 20.883 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4099], Speed: 21.023 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4199], Speed: 20.908 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4299], Speed: 19.829 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4399], Speed: 21.019 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4499], Speed: 20.872 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.802
[Epoch 10][Batch 4599], Speed: 20.866 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 4699], Speed: 20.328 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 4799], Speed: 20.170 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 4899], Speed: 20.974 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 4999], Speed: 20.852 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 5099], Speed: 19.305 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 5199], Speed: 20.784 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.801
[Epoch 10][Batch 5299], Speed: 19.806 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5399], Speed: 20.288 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5499], Speed: 20.473 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5599], Speed: 20.913 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5699], Speed: 20.420 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5799], Speed: 20.542 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.800
[Epoch 10][Batch 5899], Speed: 20.787 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 5999], Speed: 20.507 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6099], Speed: 20.554 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6199], Speed: 20.188 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6299], Speed: 20.817 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6399], Speed: 20.813 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6499], Speed: 20.444 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.799
[Epoch 10][Batch 6599], Speed: 19.960 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 6699], Speed: 20.917 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 6799], Speed: 20.451 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 6899], Speed: 20.062 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 6999], Speed: 19.966 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 7099], Speed: 20.816 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 7199], Speed: 20.650 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10][Batch 7299], Speed: 19.890 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.798
[Epoch 10] Training cost: 5731.456, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.211
[Epoch 10] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.352
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.557
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.382
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.224
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.393
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.433
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.295
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.491
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.522
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.359
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.625
person=50.5
bicycle=25.9
car=39.9
motorcycle=36.7
airplane=55.0
bus=59.8
train=56.8
truck=27.9
boat=22.8
traffic light=22.9
fire hydrant=59.0
stop sign=58.6
parking meter=39.1
bench=20.1
bird=28.4
cat=55.4
dog=51.5
horse=49.2
sheep=45.5
cow=52.3
elephant=58.5
bear=58.9
zebra=59.1
giraffe=64.4
backpack=10.6
umbrella=34.3
handbag=12.9
tie=27.3
suitcase=32.6
frisbee=59.9
skis=18.5
snowboard=30.6
sports ball=38.0
kite=32.4
baseball bat=26.2
baseball glove=34.1
skateboard=45.8
surfboard=32.3
tennis racket=46.3
bottle=34.2
wine glass=31.7
cup=39.7
fork=33.2
knife=13.8
spoon=13.1
bowl=36.5
banana=15.5
apple=17.3
sandwich=29.0
orange=26.0
broccoli=14.2
carrot=18.4
hot dog=25.4
pizza=45.3
donut=40.0
cake=31.4
chair=22.4
couch=36.7
potted plant=23.7
bed=31.6
dining table=21.9
toilet=54.9
tv=48.4
laptop=51.5
mouse=55.6
remote=28.0
keyboard=40.2
cell phone=28.7
microwave=48.3
oven=28.6
toaster=12.0
sink=29.9
refrigerator=49.4
book=12.6
clock=47.5
vase=32.7
scissors=10.9
teddy bear=35.7
hair drier=0.0
toothbrush=21.1
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.2
[Epoch 10] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0010_35.2000.params
[Epoch 11][Batch 99], Speed: 19.615 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 199], Speed: 20.520 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 299], Speed: 20.405 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.206,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 399], Speed: 20.397 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.142,RCNN_SmoothL1=0.203,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 499], Speed: 20.753 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.143,RCNN_SmoothL1=0.204,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 599], Speed: 20.660 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.205,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.797
[Epoch 11][Batch 699], Speed: 20.796 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.205,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 799], Speed: 20.412 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.206,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 899], Speed: 20.608 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 999], Speed: 20.359 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 1099], Speed: 20.197 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 1199], Speed: 20.729 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.796
[Epoch 11][Batch 1299], Speed: 20.229 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1399], Speed: 20.080 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1499], Speed: 20.271 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1599], Speed: 20.786 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1699], Speed: 20.767 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1799], Speed: 20.210 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.795
[Epoch 11][Batch 1899], Speed: 19.998 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 1999], Speed: 20.376 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2099], Speed: 20.433 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2199], Speed: 20.359 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2299], Speed: 20.418 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2399], Speed: 20.815 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2499], Speed: 20.597 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.794
[Epoch 11][Batch 2599], Speed: 20.786 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 2699], Speed: 20.127 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 2799], Speed: 20.448 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 2899], Speed: 20.040 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 2999], Speed: 20.641 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 3099], Speed: 20.671 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 3199], Speed: 19.222 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.793
[Epoch 11][Batch 3299], Speed: 20.042 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3399], Speed: 20.974 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.261,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3499], Speed: 20.589 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3599], Speed: 19.937 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3699], Speed: 20.797 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3799], Speed: 20.716 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3899], Speed: 20.868 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.792
[Epoch 11][Batch 3999], Speed: 20.933 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4099], Speed: 20.160 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4199], Speed: 19.784 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4299], Speed: 20.586 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4399], Speed: 20.933 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4499], Speed: 20.733 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4599], Speed: 20.240 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.791
[Epoch 11][Batch 4699], Speed: 20.847 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 4799], Speed: 20.912 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 4899], Speed: 21.004 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 4999], Speed: 20.244 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 5099], Speed: 20.653 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 5199], Speed: 20.888 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 5299], Speed: 20.828 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 5399], Speed: 20.664 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.790
[Epoch 11][Batch 5499], Speed: 20.850 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 5599], Speed: 20.372 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 5699], Speed: 20.474 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 5799], Speed: 20.032 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 5899], Speed: 20.631 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 5999], Speed: 20.322 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 6099], Speed: 20.636 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 6199], Speed: 20.896 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.789
[Epoch 11][Batch 6299], Speed: 20.477 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6399], Speed: 20.889 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6499], Speed: 20.171 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6599], Speed: 20.060 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6699], Speed: 20.752 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6799], Speed: 20.575 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6899], Speed: 19.259 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 6999], Speed: 20.949 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.788
[Epoch 11][Batch 7099], Speed: 20.404 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 11][Batch 7199], Speed: 20.946 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 11][Batch 7299], Speed: 20.919 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 11] Training cost: 5725.692, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.210
[Epoch 11] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.358
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.562
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.389
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.225
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.403
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.441
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.304
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.494
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.524
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.333
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.571
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638
person=52.5
bicycle=25.4
car=41.8
motorcycle=39.0
airplane=56.1
bus=60.3
train=57.7
truck=30.0
boat=22.7
traffic light=23.6
fire hydrant=58.3
stop sign=59.6
parking meter=43.6
bench=22.4
bird=31.0
cat=58.5
dog=50.5
horse=50.8
sheep=41.3
cow=50.5
elephant=57.5
bear=67.5
zebra=60.3
giraffe=63.1
backpack=13.1
umbrella=34.4
handbag=13.5
tie=28.8
suitcase=28.1
frisbee=60.3
skis=17.6
snowboard=34.4
sports ball=37.4
kite=37.5
baseball bat=28.1
baseball glove=34.2
skateboard=44.1
surfboard=34.2
tennis racket=42.7
bottle=34.3
wine glass=31.8
cup=39.7
fork=26.1
knife=16.8
spoon=14.1
bowl=37.0
banana=16.6
apple=17.0
sandwich=26.0
orange=26.8
broccoli=20.3
carrot=20.9
hot dog=25.5
pizza=46.9
donut=38.4
cake=25.9
chair=25.1
couch=36.8
potted plant=22.4
bed=36.0
dining table=23.2
toilet=54.2
tv=47.7
laptop=51.4
mouse=56.3
remote=26.6
keyboard=46.2
cell phone=31.6
microwave=49.4
oven=27.4
toaster=18.4
sink=30.5
refrigerator=47.2
book=10.9
clock=46.7
vase=29.4
scissors=19.0
teddy bear=36.1
hair drier=0.0
toothbrush=17.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.8
[Epoch 11] mAP 35.8 higher than current best [35.5] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 11] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0011_35.8000.params
[Epoch 12][Batch 99], Speed: 19.529 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 12][Batch 199], Speed: 20.644 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.211,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 12][Batch 299], Speed: 20.553 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.787
[Epoch 12][Batch 399], Speed: 20.918 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 499], Speed: 20.965 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 599], Speed: 20.587 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 699], Speed: 20.563 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 799], Speed: 20.840 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 899], Speed: 19.830 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 999], Speed: 20.999 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.786
[Epoch 12][Batch 1099], Speed: 20.969 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1199], Speed: 20.379 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1299], Speed: 20.808 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1399], Speed: 20.136 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1499], Speed: 20.752 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1599], Speed: 20.460 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1699], Speed: 20.785 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.945,RCNNL1Loss=0.785
[Epoch 12][Batch 1799], Speed: 20.474 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 1899], Speed: 20.471 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 1999], Speed: 20.989 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2099], Speed: 20.436 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2199], Speed: 20.947 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2299], Speed: 20.922 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2399], Speed: 20.950 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2499], Speed: 20.716 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.784
[Epoch 12][Batch 2599], Speed: 20.690 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 2699], Speed: 20.478 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 2799], Speed: 20.869 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 2899], Speed: 20.676 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 2999], Speed: 20.786 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 3099], Speed: 20.391 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 3199], Speed: 20.787 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 3299], Speed: 20.147 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.783
[Epoch 12][Batch 3399], Speed: 20.874 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3499], Speed: 21.052 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3599], Speed: 20.748 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3699], Speed: 20.465 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3799], Speed: 20.522 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3899], Speed: 20.942 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 3999], Speed: 20.445 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 4099], Speed: 20.521 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.782
[Epoch 12][Batch 4199], Speed: 20.325 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4299], Speed: 20.449 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4399], Speed: 20.521 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4499], Speed: 20.193 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4599], Speed: 19.773 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4699], Speed: 20.915 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4799], Speed: 20.396 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4899], Speed: 19.795 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.781
[Epoch 12][Batch 4999], Speed: 20.736 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5099], Speed: 20.437 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5199], Speed: 21.038 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5299], Speed: 20.786 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5399], Speed: 20.500 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5499], Speed: 19.852 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5599], Speed: 20.092 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5699], Speed: 20.401 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5799], Speed: 21.002 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.780
[Epoch 12][Batch 5899], Speed: 20.137 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 5999], Speed: 20.667 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6099], Speed: 20.844 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6199], Speed: 20.471 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6299], Speed: 20.597 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6399], Speed: 20.652 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6499], Speed: 21.039 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6599], Speed: 20.110 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6699], Speed: 20.836 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.779
[Epoch 12][Batch 6799], Speed: 20.854 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12][Batch 6899], Speed: 20.351 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12][Batch 6999], Speed: 20.665 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12][Batch 7099], Speed: 20.578 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12][Batch 7199], Speed: 20.649 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12][Batch 7299], Speed: 20.994 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 12] Training cost: 5698.807, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209
[Epoch 12] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.363
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.566
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.397
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.228
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.405
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.463
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.308
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.506
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.536
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.351
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.581
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.656
person=50.0
bicycle=26.9
car=41.4
motorcycle=38.8
airplane=58.6
bus=59.1
train=54.9
truck=23.0
boat=20.3
traffic light=25.2
fire hydrant=62.6
stop sign=59.0
parking meter=42.1
bench=19.0
bird=28.6
cat=54.7
dog=51.0
horse=43.1
sheep=39.8
cow=51.8
elephant=56.0
bear=62.8
zebra=57.4
giraffe=64.1
backpack=12.8
umbrella=33.7
handbag=13.6
tie=28.1
suitcase=36.6
frisbee=62.2
skis=15.5
snowboard=32.3
sports ball=36.6
kite=35.8
baseball bat=26.9
baseball glove=32.7
skateboard=46.6
surfboard=33.1
tennis racket=44.7
bottle=36.8
wine glass=33.9
cup=40.0
fork=31.2
knife=15.7
spoon=17.9
bowl=38.7
banana=20.5
apple=13.4
sandwich=31.2
orange=30.6
broccoli=21.1
carrot=18.2
hot dog=28.6
pizza=46.9
donut=42.8
cake=32.8
chair=24.2
couch=35.4
potted plant=22.4
bed=38.3
dining table=21.6
toilet=55.3
tv=49.4
laptop=56.1
mouse=55.2
remote=26.2
keyboard=47.2
cell phone=32.1
microwave=45.8
oven=29.1
toaster=36.5
sink=31.1
refrigerator=48.9
book=14.0
clock=46.2
vase=33.9
scissors=15.9
teddy bear=38.3
hair drier=0.0
toothbrush=17.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.3
[Epoch 12] mAP 36.3 higher than current best [35.8] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 12] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0012_36.3000.params
[Epoch 13][Batch 99], Speed: 19.193 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.215,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 13][Batch 199], Speed: 20.393 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.211,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.778
[Epoch 13][Batch 299], Speed: 20.645 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 399], Speed: 20.479 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 499], Speed: 20.715 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 599], Speed: 20.781 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 699], Speed: 20.831 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 799], Speed: 20.046 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 899], Speed: 20.529 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 999], Speed: 20.577 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.777
[Epoch 13][Batch 1099], Speed: 20.523 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1199], Speed: 20.696 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1299], Speed: 20.869 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1399], Speed: 20.431 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1499], Speed: 20.577 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1599], Speed: 20.310 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1699], Speed: 20.020 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1799], Speed: 20.515 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.776
[Epoch 13][Batch 1899], Speed: 20.394 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 1999], Speed: 20.718 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2099], Speed: 20.534 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2199], Speed: 20.847 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2299], Speed: 20.981 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2399], Speed: 19.661 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2499], Speed: 20.268 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2599], Speed: 20.905 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2699], Speed: 20.990 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.775
[Epoch 13][Batch 2799], Speed: 20.208 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 2899], Speed: 20.785 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 2999], Speed: 20.823 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3099], Speed: 20.928 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3199], Speed: 21.008 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3299], Speed: 19.842 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3399], Speed: 20.785 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3499], Speed: 20.675 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.774
[Epoch 13][Batch 3599], Speed: 20.741 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 3699], Speed: 20.844 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 3799], Speed: 20.892 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 3899], Speed: 20.871 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 3999], Speed: 20.942 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4099], Speed: 20.958 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4199], Speed: 19.647 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4299], Speed: 20.712 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4399], Speed: 19.670 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4499], Speed: 20.576 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.773
[Epoch 13][Batch 4599], Speed: 20.281 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 4699], Speed: 20.636 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 4799], Speed: 20.837 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 4899], Speed: 20.289 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 4999], Speed: 20.179 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 5099], Speed: 19.983 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 5199], Speed: 20.663 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 5299], Speed: 20.621 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 5399], Speed: 20.902 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.772
[Epoch 13][Batch 5499], Speed: 20.215 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 5599], Speed: 20.751 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 5699], Speed: 20.611 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 5799], Speed: 20.522 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 5899], Speed: 20.723 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 5999], Speed: 19.929 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6099], Speed: 20.989 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6199], Speed: 20.826 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6299], Speed: 20.839 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6399], Speed: 20.845 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6499], Speed: 20.934 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.771
[Epoch 13][Batch 6599], Speed: 20.666 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 6699], Speed: 20.452 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 6799], Speed: 20.651 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 6899], Speed: 20.629 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 6999], Speed: 20.869 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 7099], Speed: 20.055 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 7199], Speed: 20.845 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13][Batch 7299], Speed: 19.721 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 13] Training cost: 5710.199, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.209
[Epoch 13] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.360
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.564
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.392
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.228
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.400
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.459
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.303
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.496
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.528
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.373
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.573
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.631
person=50.6
bicycle=28.9
car=38.5
motorcycle=41.9
airplane=52.1
bus=55.1
train=57.5
truck=28.9
boat=24.1
traffic light=25.5
fire hydrant=58.3
stop sign=56.5
parking meter=43.4
bench=22.6
bird=31.2
cat=56.2
dog=51.3
horse=49.7
sheep=42.6
cow=49.0
elephant=57.3
bear=62.0
zebra=60.4
giraffe=58.9
backpack=12.0
umbrella=33.1
handbag=12.3
tie=30.5
suitcase=38.7
frisbee=62.0
skis=20.7
snowboard=29.2
sports ball=38.9
kite=34.8
baseball bat=27.9
baseball glove=36.1
skateboard=48.1
surfboard=33.0
tennis racket=43.0
bottle=36.2
wine glass=34.4
cup=40.9
fork=31.9
knife=14.5
spoon=16.2
bowl=33.5
banana=18.4
apple=16.4
sandwich=27.5
orange=26.4
broccoli=16.6
carrot=13.1
hot dog=25.0
pizza=42.8
donut=45.6
cake=30.7
chair=25.2
couch=36.7
potted plant=22.5
bed=33.7
dining table=24.4
toilet=52.6
tv=46.4
laptop=54.7
mouse=56.8
remote=27.4
keyboard=47.7
cell phone=30.0
microwave=51.4
oven=28.2
toaster=24.0
sink=33.9
refrigerator=48.8
book=12.2
clock=44.2
vase=34.7
scissors=18.8
teddy bear=33.2
hair drier=0.0
toothbrush=17.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.0
[Epoch 13] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0013_36.0000.params
[Epoch 14][Batch 99], Speed: 19.027 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.770
[Epoch 14][Batch 199], Speed: 20.522 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 299], Speed: 20.509 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 399], Speed: 20.816 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 499], Speed: 20.599 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 599], Speed: 20.372 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 699], Speed: 20.665 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 799], Speed: 20.823 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 899], Speed: 20.169 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 999], Speed: 20.675 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.769
[Epoch 14][Batch 1099], Speed: 20.418 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1199], Speed: 20.368 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1299], Speed: 20.802 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1399], Speed: 20.916 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1499], Speed: 20.332 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1599], Speed: 20.102 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1699], Speed: 20.494 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1799], Speed: 20.486 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.768
[Epoch 14][Batch 1899], Speed: 20.644 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 1999], Speed: 20.479 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2099], Speed: 19.915 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2199], Speed: 20.559 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2299], Speed: 20.834 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2399], Speed: 20.880 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2499], Speed: 20.793 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2599], Speed: 20.522 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2699], Speed: 20.637 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2799], Speed: 20.375 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.767
[Epoch 14][Batch 2899], Speed: 20.636 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 2999], Speed: 20.456 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3099], Speed: 20.563 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3199], Speed: 20.674 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3299], Speed: 20.664 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3399], Speed: 21.073 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3499], Speed: 21.022 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3599], Speed: 20.897 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3699], Speed: 20.846 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.766
[Epoch 14][Batch 3799], Speed: 20.525 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 3899], Speed: 20.906 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 3999], Speed: 20.114 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4099], Speed: 20.734 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4199], Speed: 20.307 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4299], Speed: 20.884 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4399], Speed: 20.539 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4499], Speed: 20.461 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4599], Speed: 20.887 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4699], Speed: 20.422 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4799], Speed: 20.866 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.765
[Epoch 14][Batch 4899], Speed: 20.332 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 4999], Speed: 20.767 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5099], Speed: 20.663 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5199], Speed: 19.994 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5299], Speed: 21.006 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5399], Speed: 20.728 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5499], Speed: 20.861 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5599], Speed: 19.507 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5699], Speed: 20.454 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5799], Speed: 20.259 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.764
[Epoch 14][Batch 5899], Speed: 20.591 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 5999], Speed: 20.809 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6099], Speed: 19.428 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6199], Speed: 20.837 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6299], Speed: 20.849 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6399], Speed: 20.886 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6499], Speed: 20.437 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6599], Speed: 20.716 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6699], Speed: 20.343 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6799], Speed: 20.668 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6899], Speed: 20.925 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.763
[Epoch 14][Batch 6999], Speed: 20.882 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 14][Batch 7099], Speed: 20.919 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 14][Batch 7199], Speed: 19.895 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 14][Batch 7299], Speed: 19.770 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 14] Training cost: 5711.267, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207
[Epoch 14] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.365
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.567
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.394
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.219
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.402
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.457
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.306
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.498
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.528
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.354
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.569
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.637
person=51.2
bicycle=28.3
car=38.5
motorcycle=41.2
airplane=59.0
bus=59.7
train=58.9
truck=26.4
boat=23.2
traffic light=24.4
fire hydrant=63.2
stop sign=56.0
parking meter=41.3
bench=20.8
bird=28.3
cat=56.0
dog=50.7
horse=47.4
sheep=47.0
cow=51.7
elephant=53.9
bear=66.0
zebra=59.3
giraffe=58.8
backpack=12.1
umbrella=33.4
handbag=14.0
tie=28.5
suitcase=34.9
frisbee=63.7
skis=19.2
snowboard=34.9
sports ball=39.9
kite=33.9
baseball bat=25.8
baseball glove=31.0
skateboard=49.7
surfboard=32.1
tennis racket=44.1
bottle=35.0
wine glass=35.7
cup=39.2
fork=32.9
knife=17.2
spoon=14.7
bowl=34.7
banana=21.4
apple=13.4
sandwich=27.5
orange=28.9
broccoli=21.4
carrot=20.3
hot dog=29.1
pizza=48.3
donut=42.7
cake=29.7
chair=24.7
couch=35.3
potted plant=25.0
bed=37.1
dining table=22.8
toilet=53.5
tv=49.9
laptop=55.1
mouse=57.4
remote=30.4
keyboard=45.0
cell phone=23.8
microwave=49.2
oven=31.3
toaster=24.4
sink=30.4
refrigerator=51.5
book=12.2
clock=45.8
vase=35.8
scissors=22.3
teddy bear=38.7
hair drier=0.0
toothbrush=20.7
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.5
[Epoch 14] mAP 36.5 higher than current best [36.3] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 14] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0014_36.5000.params
[Epoch 15][Batch 99], Speed: 19.406 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 199], Speed: 20.769 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 299], Speed: 20.646 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 399], Speed: 20.996 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.209,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 499], Speed: 20.325 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 599], Speed: 19.461 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.762
[Epoch 15][Batch 699], Speed: 20.718 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.761
[Epoch 15][Batch 799], Speed: 20.565 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.761
[Epoch 15][Batch 899], Speed: 20.877 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.761
[Epoch 15][Batch 999], Speed: 20.536 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.945,RCNNL1Loss=0.761
[Epoch 15][Batch 1099], Speed: 20.259 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1199], Speed: 20.200 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1299], Speed: 20.666 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1399], Speed: 19.765 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1499], Speed: 20.711 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1599], Speed: 20.915 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.761
[Epoch 15][Batch 1699], Speed: 20.633 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 1799], Speed: 20.571 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 1899], Speed: 20.722 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 1999], Speed: 20.168 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2099], Speed: 20.512 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2199], Speed: 20.905 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2299], Speed: 20.808 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2399], Speed: 20.911 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2499], Speed: 21.089 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2599], Speed: 20.594 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.760
[Epoch 15][Batch 2699], Speed: 20.032 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 2799], Speed: 20.310 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 2899], Speed: 20.271 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 2999], Speed: 20.894 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3099], Speed: 20.841 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3199], Speed: 21.025 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3299], Speed: 20.697 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3399], Speed: 20.859 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3499], Speed: 20.653 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3599], Speed: 21.006 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3699], Speed: 20.460 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.759
[Epoch 15][Batch 3799], Speed: 20.381 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 3899], Speed: 20.625 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 3999], Speed: 20.504 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4099], Speed: 20.690 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4199], Speed: 20.115 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4299], Speed: 20.010 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4399], Speed: 20.181 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4499], Speed: 20.414 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4599], Speed: 20.618 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4699], Speed: 20.106 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4799], Speed: 20.117 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.758
[Epoch 15][Batch 4899], Speed: 20.044 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 4999], Speed: 20.386 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5099], Speed: 19.925 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5199], Speed: 20.371 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5299], Speed: 20.519 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5399], Speed: 20.578 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5499], Speed: 19.466 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5599], Speed: 20.898 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5699], Speed: 19.888 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5799], Speed: 20.586 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5899], Speed: 20.918 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 5999], Speed: 20.903 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 6099], Speed: 19.479 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.757
[Epoch 15][Batch 6199], Speed: 20.625 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6299], Speed: 20.607 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6399], Speed: 20.301 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6499], Speed: 20.361 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6599], Speed: 20.339 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6699], Speed: 20.826 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6799], Speed: 20.359 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6899], Speed: 20.082 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 6999], Speed: 20.735 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 7099], Speed: 20.307 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 7199], Speed: 20.842 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15][Batch 7299], Speed: 20.570 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 15] Training cost: 5731.831, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.207
[Epoch 15] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.353
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.558
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.380
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.208
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.392
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.447
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.298
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.492
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.523
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.348
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.561
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.632
person=51.3
bicycle=25.7
car=41.5
motorcycle=38.3
airplane=61.3
bus=53.0
train=58.8
truck=28.8
boat=22.6
traffic light=26.7
fire hydrant=61.3
stop sign=58.7
parking meter=35.2
bench=20.4
bird=30.9
cat=58.0
dog=50.2
horse=51.2
sheep=45.3
cow=47.6
elephant=53.1
bear=57.1
zebra=57.3
giraffe=61.5
backpack=14.0
umbrella=33.2
handbag=12.6
tie=31.4
suitcase=31.3
frisbee=57.0
skis=19.2
snowboard=34.7
sports ball=38.6
kite=33.4
baseball bat=26.4
baseball glove=34.1
skateboard=46.6
surfboard=31.8
tennis racket=42.3
bottle=35.1
wine glass=33.2
cup=38.6
fork=31.4
knife=14.2
spoon=13.4
bowl=36.0
banana=20.1
apple=12.6
sandwich=27.3
orange=23.9
broccoli=19.3
carrot=19.1
hot dog=28.2
pizza=43.7
donut=36.4
cake=27.7
chair=24.3
couch=34.3
potted plant=26.6
bed=30.9
dining table=23.0
toilet=49.1
tv=50.2
laptop=53.3
mouse=55.6
remote=27.6
keyboard=45.6
cell phone=25.7
microwave=44.9
oven=28.6
toaster=14.7
sink=25.3
refrigerator=46.9
book=12.4
clock=46.6
vase=32.9
scissors=22.0
teddy bear=39.9
hair drier=0.0
toothbrush=17.8
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=35.3
[Epoch 15] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0015_35.3000.params
[Epoch 16][Batch 99], Speed: 19.446 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.756
[Epoch 16][Batch 199], Speed: 20.782 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.207,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 299], Speed: 20.486 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 399], Speed: 20.923 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 499], Speed: 19.958 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 599], Speed: 20.588 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 699], Speed: 20.133 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 799], Speed: 20.378 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 899], Speed: 20.542 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 999], Speed: 20.403 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 1099], Speed: 20.732 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.755
[Epoch 16][Batch 1199], Speed: 20.892 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1299], Speed: 19.759 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1399], Speed: 19.953 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1499], Speed: 20.399 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1599], Speed: 20.864 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1699], Speed: 20.616 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1799], Speed: 20.508 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1899], Speed: 20.732 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 1999], Speed: 20.697 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 2099], Speed: 20.700 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 2199], Speed: 19.913 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.754
[Epoch 16][Batch 2299], Speed: 20.555 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2399], Speed: 20.976 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2499], Speed: 19.514 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2599], Speed: 20.024 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2699], Speed: 20.886 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2799], Speed: 20.263 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2899], Speed: 20.643 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 2999], Speed: 20.737 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 3099], Speed: 20.785 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 3199], Speed: 20.600 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 3299], Speed: 20.373 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 3399], Speed: 20.021 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.753
[Epoch 16][Batch 3499], Speed: 20.042 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 3599], Speed: 20.778 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 3699], Speed: 20.552 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 3799], Speed: 19.900 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 3899], Speed: 20.849 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 3999], Speed: 20.648 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4099], Speed: 20.729 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4199], Speed: 20.151 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4299], Speed: 20.573 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4399], Speed: 20.719 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4499], Speed: 20.087 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4599], Speed: 20.906 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4699], Speed: 20.163 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.752
[Epoch 16][Batch 4799], Speed: 20.511 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 4899], Speed: 19.377 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 4999], Speed: 20.565 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5099], Speed: 20.844 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5199], Speed: 20.324 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5299], Speed: 19.945 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5399], Speed: 20.746 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5499], Speed: 20.491 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5599], Speed: 20.892 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5699], Speed: 20.382 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5799], Speed: 20.486 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5899], Speed: 20.899 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 5999], Speed: 20.402 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.751
[Epoch 16][Batch 6099], Speed: 20.829 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6199], Speed: 20.258 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6299], Speed: 20.460 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6399], Speed: 20.192 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6499], Speed: 20.448 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6599], Speed: 20.662 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6699], Speed: 19.624 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6799], Speed: 20.763 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6899], Speed: 20.178 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 6999], Speed: 19.734 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 7099], Speed: 20.807 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 7199], Speed: 20.012 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16][Batch 7299], Speed: 20.716 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.250,RCNNAcc=0.946,RCNNL1Loss=0.750
[Epoch 16] Training cost: 5741.777, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206
[Epoch 16] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.364
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.569
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.392
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.215
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.409
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.460
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.306
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.493
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.523
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.340
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.562
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.645
person=51.9
bicycle=26.2
car=40.5
motorcycle=36.7
airplane=54.8
bus=60.5
train=56.3
truck=30.9
boat=23.6
traffic light=24.1
fire hydrant=59.6
stop sign=60.8
parking meter=44.8
bench=22.0
bird=29.8
cat=56.7
dog=53.8
horse=51.8
sheep=35.9
cow=49.8
elephant=55.4
bear=62.1
zebra=55.5
giraffe=63.6
backpack=11.7
umbrella=34.2
handbag=12.5
tie=33.7
suitcase=29.0
frisbee=62.1
skis=20.2
snowboard=33.4
sports ball=37.9
kite=37.1
baseball bat=25.1
baseball glove=33.6
skateboard=48.2
surfboard=33.2
tennis racket=43.5
bottle=35.2
wine glass=34.5
cup=36.3
fork=35.2
knife=17.2
spoon=15.1
bowl=36.4
banana=21.1
apple=15.2
sandwich=27.5
orange=25.0
broccoli=19.7
carrot=20.3
hot dog=24.4
pizza=47.6
donut=41.0
cake=27.8
chair=24.5
couch=34.6
potted plant=24.8
bed=35.2
dining table=23.5
toilet=52.9
tv=51.0
laptop=52.9
mouse=57.2
remote=29.1
keyboard=46.9
cell phone=29.6
microwave=48.8
oven=29.4
toaster=30.9
sink=34.3
refrigerator=46.4
book=14.2
clock=44.1
vase=32.3
scissors=23.0
teddy bear=38.3
hair drier=0.0
toothbrush=22.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.4
[Epoch 16] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0016_36.4000.params
[Epoch 17][Batch 99], Speed: 18.981 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.208,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 199], Speed: 20.282 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 299], Speed: 20.596 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 399], Speed: 20.277 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.201,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 499], Speed: 20.550 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.200,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 599], Speed: 20.351 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.200,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 699], Speed: 20.886 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.146,RCNN_SmoothL1=0.200,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 799], Speed: 20.139 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.201,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 899], Speed: 20.459 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.201,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 999], Speed: 20.910 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 1099], Speed: 20.851 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.749
[Epoch 17][Batch 1199], Speed: 20.771 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1299], Speed: 20.860 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1399], Speed: 20.218 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1499], Speed: 20.888 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1599], Speed: 19.950 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1699], Speed: 20.306 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1799], Speed: 19.756 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1899], Speed: 20.558 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 1999], Speed: 20.770 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 2099], Speed: 20.901 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 2199], Speed: 19.557 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 2299], Speed: 20.679 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 2399], Speed: 20.688 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.748
[Epoch 17][Batch 2499], Speed: 20.913 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 2599], Speed: 20.687 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 2699], Speed: 20.928 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 2799], Speed: 20.147 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 2899], Speed: 20.482 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 2999], Speed: 20.555 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3099], Speed: 19.443 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3199], Speed: 20.067 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3299], Speed: 20.351 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3399], Speed: 20.805 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3499], Speed: 20.248 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3599], Speed: 20.376 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3699], Speed: 20.085 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.747
[Epoch 17][Batch 3799], Speed: 20.124 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 3899], Speed: 20.939 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 3999], Speed: 20.353 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4099], Speed: 20.747 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4199], Speed: 20.330 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4299], Speed: 20.145 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4399], Speed: 20.891 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4499], Speed: 20.834 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4599], Speed: 20.513 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4699], Speed: 20.805 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4799], Speed: 20.588 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4899], Speed: 20.675 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 4999], Speed: 20.008 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.249,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 5099], Speed: 20.522 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.746
[Epoch 17][Batch 5199], Speed: 20.396 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5299], Speed: 20.819 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5399], Speed: 20.872 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5499], Speed: 20.523 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5599], Speed: 20.764 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5699], Speed: 20.825 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5799], Speed: 19.824 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5899], Speed: 20.828 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 5999], Speed: 20.952 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6099], Speed: 20.522 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6199], Speed: 20.686 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6299], Speed: 20.902 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6399], Speed: 19.090 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6499], Speed: 20.800 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6599], Speed: 20.246 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6699], Speed: 20.400 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.745
[Epoch 17][Batch 6799], Speed: 19.086 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17][Batch 6899], Speed: 20.623 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17][Batch 6999], Speed: 20.902 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17][Batch 7099], Speed: 20.736 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17][Batch 7199], Speed: 20.805 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17][Batch 7299], Speed: 20.784 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.206,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 17] Training cost: 5733.367, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.206
[Epoch 17] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.363
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.564
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.396
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.226
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.401
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.454
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.308
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.503
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.536
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.366
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.576
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.652
person=52.9
bicycle=24.2
car=39.5
motorcycle=38.0
airplane=57.0
bus=61.7
train=57.9
truck=29.0
boat=23.6
traffic light=25.2
fire hydrant=63.1
stop sign=59.7
parking meter=34.5
bench=21.9
bird=33.3
cat=59.9
dog=49.3
horse=43.7
sheep=43.1
cow=49.4
elephant=57.3
bear=64.4
zebra=60.8
giraffe=62.6
backpack=12.4
umbrella=33.3
handbag=12.5
tie=30.5
suitcase=31.5
frisbee=61.1
skis=19.9
snowboard=40.1
sports ball=40.3
kite=36.8
baseball bat=25.5
baseball glove=32.3
skateboard=46.3
surfboard=34.8
tennis racket=43.4
bottle=37.1
wine glass=32.4
cup=35.7
fork=32.6
knife=16.4
spoon=14.2
bowl=37.0
banana=22.1
apple=15.8
sandwich=29.8
orange=26.4
broccoli=22.4
carrot=16.3
hot dog=27.4
pizza=49.3
donut=40.8
cake=33.6
chair=24.4
couch=37.7
potted plant=21.5
bed=32.3
dining table=24.4
toilet=50.5
tv=49.6
laptop=56.0
mouse=56.0
remote=25.2
keyboard=45.8
cell phone=29.9
microwave=51.7
oven=28.2
toaster=22.4
sink=32.4
refrigerator=45.9
book=12.7
clock=47.3
vase=32.8
scissors=17.1
teddy bear=39.4
hair drier=0.0
toothbrush=21.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.3
[Epoch 17] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0017_36.3000.params
[Epoch 18][Batch 99], Speed: 19.327 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.145,RCNN_SmoothL1=0.196,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 199], Speed: 20.553 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.200,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 299], Speed: 20.740 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 399], Speed: 20.465 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 499], Speed: 20.537 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 599], Speed: 20.781 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 699], Speed: 20.925 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.744
[Epoch 18][Batch 799], Speed: 20.520 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 899], Speed: 20.767 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 999], Speed: 20.402 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1099], Speed: 20.680 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1199], Speed: 20.496 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1299], Speed: 20.903 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.202,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1399], Speed: 20.690 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.148,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1499], Speed: 21.061 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1599], Speed: 20.898 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1699], Speed: 20.938 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1799], Speed: 20.876 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1899], Speed: 20.521 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 1999], Speed: 19.111 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.203,RPNAcc=0.987,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.743
[Epoch 18][Batch 2099], Speed: 19.968 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.203,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2199], Speed: 20.055 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2299], Speed: 20.352 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2399], Speed: 20.272 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2499], Speed: 20.866 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2599], Speed: 20.789 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2699], Speed: 20.880 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2799], Speed: 20.238 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2899], Speed: 20.567 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 2999], Speed: 20.033 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.248,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 3099], Speed: 20.931 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 3199], Speed: 20.841 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 3299], Speed: 20.326 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 3399], Speed: 20.831 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.742
[Epoch 18][Batch 3499], Speed: 20.687 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 3599], Speed: 19.912 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 3699], Speed: 20.750 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 3799], Speed: 20.902 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 3899], Speed: 20.451 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 3999], Speed: 20.542 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4099], Speed: 20.391 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4199], Speed: 20.805 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4299], Speed: 20.111 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4399], Speed: 20.610 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4499], Speed: 20.375 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4599], Speed: 20.366 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4699], Speed: 20.208 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4799], Speed: 20.646 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4899], Speed: 19.817 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.741
[Epoch 18][Batch 4999], Speed: 20.520 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5099], Speed: 20.277 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5199], Speed: 20.211 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5299], Speed: 20.719 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5399], Speed: 20.363 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5499], Speed: 20.765 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5599], Speed: 20.911 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5699], Speed: 19.923 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5799], Speed: 20.036 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5899], Speed: 20.277 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 5999], Speed: 20.368 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6099], Speed: 20.204 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6199], Speed: 19.669 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6299], Speed: 20.749 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6399], Speed: 20.909 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6499], Speed: 20.845 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.740
[Epoch 18][Batch 6599], Speed: 19.800 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 6699], Speed: 20.951 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 6799], Speed: 20.608 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 6899], Speed: 20.639 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 6999], Speed: 20.672 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 7099], Speed: 20.565 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 7199], Speed: 20.728 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18][Batch 7299], Speed: 20.641 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 18] Training cost: 5724.150, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206
[Epoch 18] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.562
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.388
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.213
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.398
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.465
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.306
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.497
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.531
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.362
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.569
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.645
person=51.8
bicycle=28.6
car=42.4
motorcycle=40.0
airplane=58.5
bus=60.1
train=58.8
truck=29.3
boat=22.3
traffic light=24.2
fire hydrant=63.8
stop sign=60.5
parking meter=34.1
bench=21.1
bird=31.2
cat=61.1
dog=53.3
horse=48.7
sheep=44.0
cow=52.5
elephant=55.3
bear=60.6
zebra=61.4
giraffe=59.0
backpack=12.2
umbrella=35.6
handbag=13.6
tie=31.0
suitcase=31.7
frisbee=57.3
skis=20.1
snowboard=17.9
sports ball=38.0
kite=38.4
baseball bat=28.0
baseball glove=33.4
skateboard=42.1
surfboard=33.0
tennis racket=44.3
bottle=35.2
wine glass=33.3
cup=39.5
fork=30.7
knife=16.3
spoon=14.3
bowl=34.7
banana=19.7
apple=14.5
sandwich=29.5
orange=27.2
broccoli=21.4
carrot=18.6
hot dog=30.6
pizza=42.2
donut=39.0
cake=30.3
chair=23.3
couch=36.6
potted plant=23.5
bed=31.6
dining table=21.7
toilet=49.7
tv=46.1
laptop=56.8
mouse=58.2
remote=26.9
keyboard=45.0
cell phone=32.9
microwave=51.4
oven=27.5
toaster=31.1
sink=28.0
refrigerator=51.7
book=12.6
clock=48.2
vase=29.1
scissors=17.1
teddy bear=37.5
hair drier=4.0
toothbrush=17.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.1
[Epoch 18] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0018_36.1000.params
[Epoch 19][Batch 99], Speed: 19.137 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.210,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 199], Speed: 20.386 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.149,RCNN_SmoothL1=0.204,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 299], Speed: 20.783 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 399], Speed: 20.095 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 499], Speed: 20.489 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 599], Speed: 20.768 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 699], Speed: 20.523 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.739
[Epoch 19][Batch 799], Speed: 20.737 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 899], Speed: 20.639 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 999], Speed: 20.486 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.207,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1099], Speed: 20.769 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1199], Speed: 20.062 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1299], Speed: 20.883 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1399], Speed: 20.805 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.247,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1499], Speed: 20.796 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.151,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1599], Speed: 20.665 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1699], Speed: 19.736 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1799], Speed: 20.468 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1899], Speed: 20.421 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 1999], Speed: 20.837 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 2099], Speed: 20.971 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.738
[Epoch 19][Batch 2199], Speed: 20.676 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.207,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2299], Speed: 20.208 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2399], Speed: 20.340 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2499], Speed: 20.903 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2599], Speed: 19.757 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2699], Speed: 20.463 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2799], Speed: 20.776 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2899], Speed: 20.119 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 2999], Speed: 20.559 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3099], Speed: 20.717 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3199], Speed: 20.482 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3299], Speed: 20.811 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3399], Speed: 20.855 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3499], Speed: 20.624 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3599], Speed: 19.790 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.737
[Epoch 19][Batch 3699], Speed: 20.397 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 3799], Speed: 20.278 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 3899], Speed: 20.033 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 3999], Speed: 20.767 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4099], Speed: 20.026 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4199], Speed: 20.683 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4299], Speed: 20.775 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4399], Speed: 20.791 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4499], Speed: 20.592 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4599], Speed: 20.797 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4699], Speed: 19.961 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4799], Speed: 19.315 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4899], Speed: 20.824 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 4999], Speed: 20.450 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 5099], Speed: 20.685 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 5199], Speed: 20.703 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.736
[Epoch 19][Batch 5299], Speed: 19.866 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5399], Speed: 20.539 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5499], Speed: 20.475 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5599], Speed: 20.762 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5699], Speed: 20.571 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5799], Speed: 19.489 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5899], Speed: 19.887 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 5999], Speed: 19.838 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6099], Speed: 19.673 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6199], Speed: 20.435 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6299], Speed: 20.755 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6399], Speed: 20.095 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6499], Speed: 20.207 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6599], Speed: 20.795 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6699], Speed: 20.824 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6799], Speed: 20.955 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6899], Speed: 20.589 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 6999], Speed: 20.660 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.735
[Epoch 19][Batch 7099], Speed: 20.710 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 19][Batch 7199], Speed: 20.216 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 19][Batch 7299], Speed: 20.819 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 19] Training cost: 5737.380, RPN_Conf=0.029,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.154,RCNN_SmoothL1=0.206
[Epoch 19] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.367
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.569
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.398
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.224
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.403
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.308
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.503
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.536
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.360
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.574
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.654
person=51.3
bicycle=27.5
car=41.3
motorcycle=38.3
airplane=59.1
bus=60.8
train=61.3
truck=26.8
boat=21.7
traffic light=24.3
fire hydrant=63.0
stop sign=61.4
parking meter=40.9
bench=22.0
bird=28.8
cat=54.9
dog=49.2
horse=46.0
sheep=46.1
cow=45.4
elephant=54.6
bear=58.7
zebra=59.5
giraffe=59.5
backpack=13.2
umbrella=33.8
handbag=13.5
tie=33.1
suitcase=35.3
frisbee=61.0
skis=20.4
snowboard=33.6
sports ball=40.8
kite=38.1
baseball bat=28.1
baseball glove=34.7
skateboard=52.0
surfboard=32.9
tennis racket=45.5
bottle=35.8
wine glass=36.1
cup=39.0
fork=34.4
knife=14.9
spoon=18.6
bowl=32.3
banana=21.1
apple=15.5
sandwich=29.4
orange=27.5
broccoli=18.7
carrot=19.4
hot dog=26.6
pizza=47.4
donut=41.2
cake=34.5
chair=25.5
couch=33.6
potted plant=27.1
bed=37.2
dining table=25.2
toilet=55.2
tv=50.3
laptop=55.0
mouse=56.0
remote=30.5
keyboard=48.9
cell phone=31.8
microwave=51.8
oven=30.9
toaster=10.6
sink=30.1
refrigerator=48.1
book=14.1
clock=46.7
vase=35.4
scissors=21.4
teddy bear=42.8
hair drier=0.0
toothbrush=18.2
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=36.7
[Epoch 19] mAP 36.7 higher than current best [36.5] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 19] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0019_36.7000.params
[Epoch 20] Set learning rate to 0.002
[Epoch 20][Batch 99], Speed: 18.988 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.152,RCNN_SmoothL1=0.205,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 199], Speed: 20.364 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.202,RPNAcc=0.988,RPNL1Loss=0.246,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 299], Speed: 20.678 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.200,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 399], Speed: 20.793 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.141,RCNN_SmoothL1=0.199,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 499], Speed: 20.578 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.137,RCNN_SmoothL1=0.197,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 599], Speed: 20.331 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.136,RCNN_SmoothL1=0.195,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 699], Speed: 20.467 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.134,RCNN_SmoothL1=0.195,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.734
[Epoch 20][Batch 799], Speed: 20.621 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.194,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 899], Speed: 20.878 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.193,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 999], Speed: 20.574 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.192,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1099], Speed: 20.928 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.191,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1199], Speed: 20.798 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.192,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1299], Speed: 19.889 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.191,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1399], Speed: 20.421 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.191,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1499], Speed: 20.486 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.191,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.733
[Epoch 20][Batch 1599], Speed: 20.095 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.190,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 1699], Speed: 20.703 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.190,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 1799], Speed: 20.749 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.127,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 1899], Speed: 20.714 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.127,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 1999], Speed: 20.761 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.127,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 2099], Speed: 20.838 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.126,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 2199], Speed: 20.541 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.126,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 2299], Speed: 20.457 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.126,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.732
[Epoch 20][Batch 2399], Speed: 19.753 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.126,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2499], Speed: 19.738 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.125,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2599], Speed: 19.797 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.125,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2699], Speed: 20.602 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.125,RCNN_SmoothL1=0.189,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2799], Speed: 20.084 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.125,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.245,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2899], Speed: 20.378 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 2999], Speed: 19.789 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.731
[Epoch 20][Batch 3099], Speed: 20.594 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3199], Speed: 20.649 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.188,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3299], Speed: 20.677 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3399], Speed: 19.719 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3499], Speed: 20.743 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.123,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3599], Speed: 20.662 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.123,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3699], Speed: 20.236 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.123,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3799], Speed: 20.712 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.123,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.730
[Epoch 20][Batch 3899], Speed: 20.404 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.123,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 3999], Speed: 20.321 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.187,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4099], Speed: 20.172 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4199], Speed: 20.626 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4299], Speed: 20.132 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4399], Speed: 20.317 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4499], Speed: 20.548 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.122,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.729
[Epoch 20][Batch 4599], Speed: 20.275 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 4699], Speed: 19.538 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 4799], Speed: 20.573 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 4899], Speed: 20.632 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 4999], Speed: 20.907 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 5099], Speed: 20.797 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 5199], Speed: 20.775 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 5299], Speed: 20.087 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.244,RCNNAcc=0.946,RCNNL1Loss=0.728
[Epoch 20][Batch 5399], Speed: 20.534 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5499], Speed: 20.759 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5599], Speed: 20.211 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5699], Speed: 20.824 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5799], Speed: 19.815 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5899], Speed: 20.679 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.185,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 5999], Speed: 20.888 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.727
[Epoch 20][Batch 6099], Speed: 20.433 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.120,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6199], Speed: 19.819 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6299], Speed: 20.634 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6399], Speed: 20.770 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6499], Speed: 19.967 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6599], Speed: 20.270 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6699], Speed: 20.600 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6799], Speed: 20.444 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.726
[Epoch 20][Batch 6899], Speed: 20.610 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 20][Batch 6999], Speed: 19.729 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 20][Batch 7099], Speed: 20.035 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 20][Batch 7199], Speed: 19.900 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 20][Batch 7299], Speed: 20.750 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.118,RCNN_SmoothL1=0.184,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 20] Training cost: 5749.373, RPN_Conf=0.020,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.118,RCNN_SmoothL1=0.184
[Epoch 20] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.441
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.652
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.480
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.280
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.483
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.568
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.346
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.558
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.590
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.422
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.633
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.724
person=56.1
bicycle=33.6
car=46.7
motorcycle=45.8
airplane=68.5
bus=67.8
train=66.0
truck=38.4
boat=29.5
traffic light=28.3
fire hydrant=67.9
stop sign=65.9
parking meter=47.9
bench=28.3
bird=36.9
cat=70.4
dog=62.4
horse=62.0
sheep=56.5
cow=58.3
elephant=64.8
bear=67.9
zebra=66.9
giraffe=67.4
backpack=18.0
umbrella=41.7
handbag=18.2
tie=37.9
suitcase=42.6
frisbee=69.9
skis=27.3
snowboard=44.8
sports ball=42.8
kite=42.3
baseball bat=36.0
baseball glove=40.4
skateboard=57.5
surfboard=39.5
tennis racket=52.7
bottle=42.0
wine glass=39.1
cup=45.6
fork=39.8
knife=24.9
spoon=24.3
bowl=44.1
banana=27.5
apple=21.6
sandwich=36.5
orange=34.5
broccoli=24.1
carrot=24.4
hot dog=36.0
pizza=56.0
donut=51.5
cake=39.1
chair=31.7
couch=42.8
potted plant=30.3
bed=41.2
dining table=29.4
toilet=61.6
tv=58.5
laptop=64.4
mouse=61.2
remote=39.8
keyboard=54.2
cell phone=37.9
microwave=59.7
oven=35.6
toaster=34.0
sink=37.6
refrigerator=59.2
book=16.9
clock=51.6
vase=39.1
scissors=30.0
teddy bear=49.5
hair drier=2.0
toothbrush=32.8
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.1
[Epoch 20] mAP 44.1 higher than current best [36.7] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 20] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0020_44.1000.params
[Epoch 21][Batch 99], Speed: 19.060 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.115,RCNN_SmoothL1=0.186,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 21][Batch 199], Speed: 20.481 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.182,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.725
[Epoch 21][Batch 299], Speed: 20.564 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.179,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 399], Speed: 20.278 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.243,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 499], Speed: 20.650 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 599], Speed: 20.586 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 699], Speed: 20.353 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 799], Speed: 20.583 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 899], Speed: 20.708 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.724
[Epoch 21][Batch 999], Speed: 20.438 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1099], Speed: 20.253 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1199], Speed: 20.176 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1299], Speed: 20.214 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1399], Speed: 20.349 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1499], Speed: 19.889 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1599], Speed: 20.312 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.723
[Epoch 21][Batch 1699], Speed: 19.594 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 1799], Speed: 20.366 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 1899], Speed: 19.991 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 1999], Speed: 20.426 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 2099], Speed: 20.370 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 2199], Speed: 20.285 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 2299], Speed: 20.039 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.722
[Epoch 21][Batch 2399], Speed: 20.212 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2499], Speed: 20.660 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2599], Speed: 20.297 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2699], Speed: 20.372 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.242,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2799], Speed: 20.367 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2899], Speed: 20.432 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 2999], Speed: 20.767 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.721
[Epoch 21][Batch 3099], Speed: 20.856 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.720
[Epoch 21][Batch 3199], Speed: 20.577 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.720
[Epoch 21][Batch 3299], Speed: 20.059 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.720
[Epoch 21][Batch 3399], Speed: 20.303 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.720
[Epoch 21][Batch 3499], Speed: 20.591 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.946,RCNNL1Loss=0.720
[Epoch 21][Batch 3599], Speed: 20.533 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.720
[Epoch 21][Batch 3699], Speed: 20.771 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.720
[Epoch 21][Batch 3799], Speed: 20.818 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 3899], Speed: 20.765 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 3999], Speed: 20.060 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 4099], Speed: 20.227 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 4199], Speed: 20.852 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 4299], Speed: 20.549 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 4399], Speed: 20.132 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.719
[Epoch 21][Batch 4499], Speed: 20.582 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 4599], Speed: 20.898 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 4699], Speed: 20.719 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 4799], Speed: 20.318 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 4899], Speed: 20.362 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 4999], Speed: 20.751 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 5099], Speed: 20.561 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.241,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 5199], Speed: 20.583 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.718
[Epoch 21][Batch 5299], Speed: 20.357 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5399], Speed: 20.737 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5499], Speed: 19.659 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5599], Speed: 19.932 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5699], Speed: 20.781 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5799], Speed: 20.822 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5899], Speed: 20.609 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.717
[Epoch 21][Batch 5999], Speed: 20.246 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6099], Speed: 20.749 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6199], Speed: 20.102 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6299], Speed: 20.833 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6399], Speed: 20.487 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6499], Speed: 20.781 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6599], Speed: 20.469 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6699], Speed: 19.491 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.716
[Epoch 21][Batch 6799], Speed: 20.399 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21][Batch 6899], Speed: 20.824 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21][Batch 6999], Speed: 20.616 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21][Batch 7099], Speed: 20.555 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21][Batch 7199], Speed: 20.317 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21][Batch 7299], Speed: 20.858 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 21] Training cost: 5745.134, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.176
[Epoch 21] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.444
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.657
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.484
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.287
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.483
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.574
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.348
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.562
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.593
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.435
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.633
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.724
person=56.9
bicycle=32.6
car=46.4
motorcycle=47.1
airplane=69.0
bus=68.8
train=67.3
truck=39.8
boat=28.7
traffic light=28.9
fire hydrant=68.6
stop sign=66.5
parking meter=47.3
bench=28.6
bird=35.7
cat=70.2
dog=62.5
horse=62.2
sheep=56.7
cow=57.5
elephant=65.3
bear=68.0
zebra=69.2
giraffe=68.0
backpack=19.1
umbrella=41.4
handbag=18.5
tie=38.0
suitcase=42.8
frisbee=68.4
skis=27.2
snowboard=43.9
sports ball=43.1
kite=41.9
baseball bat=35.9
baseball glove=41.1
skateboard=57.4
surfboard=40.4
tennis racket=52.9
bottle=42.9
wine glass=38.1
cup=46.2
fork=43.3
knife=26.1
spoon=23.8
bowl=44.1
banana=26.7
apple=21.4
sandwich=37.8
orange=33.8
broccoli=24.9
carrot=23.2
hot dog=40.3
pizza=55.5
donut=51.1
cake=40.3
chair=31.6
couch=42.9
potted plant=30.5
bed=41.4
dining table=29.3
toilet=61.5
tv=58.7
laptop=64.6
mouse=60.2
remote=39.4
keyboard=53.7
cell phone=38.0
microwave=61.7
oven=36.9
toaster=37.7
sink=38.8
refrigerator=60.5
book=17.3
clock=51.8
vase=39.0
scissors=28.3
teddy bear=49.2
hair drier=4.6
toothbrush=32.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.4
[Epoch 21] mAP 44.4 higher than current best [44.1] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 21] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0021_44.4000.params
[Epoch 22][Batch 99], Speed: 19.339 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.715
[Epoch 22][Batch 199], Speed: 20.131 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.240,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 299], Speed: 20.065 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.177,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 399], Speed: 20.196 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 499], Speed: 20.768 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 599], Speed: 20.707 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 699], Speed: 20.783 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 799], Speed: 20.715 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.176,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.714
[Epoch 22][Batch 899], Speed: 20.087 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 999], Speed: 19.892 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1099], Speed: 20.542 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1199], Speed: 20.573 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1299], Speed: 20.681 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1399], Speed: 20.436 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1499], Speed: 20.515 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.713
[Epoch 22][Batch 1599], Speed: 20.460 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 1699], Speed: 20.356 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 1799], Speed: 20.797 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 1899], Speed: 20.170 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 1999], Speed: 19.531 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 2099], Speed: 20.408 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 2199], Speed: 20.175 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 2299], Speed: 20.529 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.712
[Epoch 22][Batch 2399], Speed: 20.721 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2499], Speed: 20.227 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2599], Speed: 20.133 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.239,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2699], Speed: 20.869 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2799], Speed: 20.220 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2899], Speed: 20.971 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 2999], Speed: 20.793 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.711
[Epoch 22][Batch 3099], Speed: 20.610 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3199], Speed: 19.780 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3299], Speed: 20.543 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3399], Speed: 20.029 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3499], Speed: 20.668 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3599], Speed: 20.458 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3699], Speed: 20.082 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.710
[Epoch 22][Batch 3799], Speed: 20.532 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 3899], Speed: 20.368 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 3999], Speed: 20.823 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4099], Speed: 20.549 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4199], Speed: 20.352 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4299], Speed: 20.666 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4399], Speed: 20.784 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4499], Speed: 20.703 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.709
[Epoch 22][Batch 4599], Speed: 20.808 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 4699], Speed: 20.824 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 4799], Speed: 20.624 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 4899], Speed: 19.238 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 4999], Speed: 20.707 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 5099], Speed: 19.760 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.238,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 5199], Speed: 20.737 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.708
[Epoch 22][Batch 5299], Speed: 20.699 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5399], Speed: 20.538 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5499], Speed: 20.746 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5599], Speed: 20.703 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5699], Speed: 20.747 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5799], Speed: 20.743 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5899], Speed: 20.621 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 5999], Speed: 20.279 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.707
[Epoch 22][Batch 6099], Speed: 20.214 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6199], Speed: 19.934 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6299], Speed: 20.521 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6399], Speed: 20.799 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6499], Speed: 19.883 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6599], Speed: 19.191 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6699], Speed: 20.446 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6799], Speed: 20.587 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.706
[Epoch 22][Batch 6899], Speed: 20.459 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 22][Batch 6999], Speed: 20.817 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 22][Batch 7099], Speed: 20.867 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 22][Batch 7199], Speed: 19.240 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 22][Batch 7299], Speed: 20.250 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 22] Training cost: 5748.957, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.172
[Epoch 22] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.445
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.660
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.484
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.289
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.484
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.574
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.351
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.561
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.590
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.419
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.632
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.728
person=56.8
bicycle=32.9
car=47.1
motorcycle=46.6
airplane=68.3
bus=68.5
train=67.7
truck=40.8
boat=29.9
traffic light=28.2
fire hydrant=68.1
stop sign=65.3
parking meter=47.7
bench=28.9
bird=37.4
cat=67.8
dog=63.7
horse=61.5
sheep=55.5
cow=58.2
elephant=64.4
bear=67.9
zebra=67.9
giraffe=66.3
backpack=19.2
umbrella=40.0
handbag=19.3
tie=38.9
suitcase=45.2
frisbee=68.8
skis=27.8
snowboard=45.5
sports ball=43.3
kite=42.6
baseball bat=35.2
baseball glove=39.4
skateboard=56.6
surfboard=40.5
tennis racket=52.7
bottle=42.1
wine glass=40.2
cup=45.6
fork=43.4
knife=25.5
spoon=24.4
bowl=44.6
banana=28.6
apple=22.1
sandwich=37.1
orange=33.2
broccoli=24.4
carrot=23.8
hot dog=37.8
pizza=55.7
donut=51.3
cake=40.0
chair=32.0
couch=44.5
potted plant=29.6
bed=43.1
dining table=29.2
toilet=61.3
tv=58.6
laptop=64.8
mouse=61.3
remote=39.8
keyboard=53.2
cell phone=38.2
microwave=59.2
oven=37.6
toaster=31.5
sink=38.9
refrigerator=58.4
book=18.6
clock=51.9
vase=38.7
scissors=30.7
teddy bear=50.1
hair drier=12.7
toothbrush=32.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.5
[Epoch 22] mAP 44.5 higher than current best [44.4] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 22] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0022_44.5000.params
[Epoch 23][Batch 99], Speed: 19.185 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 23][Batch 199], Speed: 20.560 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.705
[Epoch 23][Batch 299], Speed: 20.783 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.237,RCNNAcc=0.947,RCNNL1Loss=0.704
[Epoch 23][Batch 399], Speed: 20.424 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.947,RCNNL1Loss=0.704
[Epoch 23][Batch 499], Speed: 19.981 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.947,RCNNL1Loss=0.704
[Epoch 23][Batch 599], Speed: 20.151 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.947,RCNNL1Loss=0.704
[Epoch 23][Batch 699], Speed: 20.675 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.947,RCNNL1Loss=0.704
[Epoch 23][Batch 799], Speed: 19.789 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.704
[Epoch 23][Batch 899], Speed: 20.716 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.704
[Epoch 23][Batch 999], Speed: 20.807 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.704
[Epoch 23][Batch 1099], Speed: 20.204 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.171,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1199], Speed: 20.391 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1299], Speed: 20.394 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1399], Speed: 20.142 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1499], Speed: 20.216 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1599], Speed: 20.447 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1699], Speed: 20.524 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.703
[Epoch 23][Batch 1799], Speed: 20.634 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 1899], Speed: 20.632 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 1999], Speed: 20.934 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2099], Speed: 19.789 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2199], Speed: 19.935 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2299], Speed: 19.947 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2399], Speed: 20.711 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2499], Speed: 20.017 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.702
[Epoch 23][Batch 2599], Speed: 20.787 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 2699], Speed: 20.293 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 2799], Speed: 20.938 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.236,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 2899], Speed: 20.030 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 2999], Speed: 20.230 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 3099], Speed: 19.846 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 3199], Speed: 20.483 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.701
[Epoch 23][Batch 3299], Speed: 20.577 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.988,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3399], Speed: 20.258 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.170,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3499], Speed: 20.092 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3599], Speed: 20.847 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3699], Speed: 20.160 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3799], Speed: 20.759 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3899], Speed: 20.831 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 3999], Speed: 20.675 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.700
[Epoch 23][Batch 4099], Speed: 20.046 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4199], Speed: 20.808 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4299], Speed: 20.324 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4399], Speed: 20.775 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4499], Speed: 20.736 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4599], Speed: 19.920 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4699], Speed: 20.663 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.699
[Epoch 23][Batch 4799], Speed: 20.321 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 4899], Speed: 20.321 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 4999], Speed: 20.651 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5099], Speed: 20.633 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5199], Speed: 20.255 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5299], Speed: 20.758 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5399], Speed: 20.854 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.235,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5499], Speed: 20.834 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.698
[Epoch 23][Batch 5599], Speed: 20.517 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 5699], Speed: 20.891 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 5799], Speed: 20.534 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 5899], Speed: 20.758 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 5999], Speed: 20.706 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 6099], Speed: 20.183 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 6199], Speed: 20.874 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 6299], Speed: 19.979 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.697
[Epoch 23][Batch 6399], Speed: 20.479 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6499], Speed: 20.494 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6599], Speed: 20.285 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6699], Speed: 20.018 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6799], Speed: 20.672 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6899], Speed: 20.697 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 6999], Speed: 19.680 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 7099], Speed: 19.961 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.696
[Epoch 23][Batch 7199], Speed: 20.416 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 23][Batch 7299], Speed: 20.247 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 23] Training cost: 5746.801, RPN_Conf=0.016,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.169
[Epoch 23] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.444
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.661
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.485
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.283
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.481
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.573
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.348
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.558
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.587
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.416
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.629
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.730
person=56.4
bicycle=32.6
car=46.7
motorcycle=46.6
airplane=66.9
bus=68.7
train=66.5
truck=39.7
boat=29.4
traffic light=27.6
fire hydrant=68.8
stop sign=63.6
parking meter=47.4
bench=29.1
bird=36.7
cat=70.9
dog=64.0
horse=60.8
sheep=55.1
cow=58.5
elephant=65.1
bear=70.1
zebra=68.4
giraffe=67.4
backpack=19.2
umbrella=41.4
handbag=19.8
tie=38.7
suitcase=43.7
frisbee=66.8
skis=27.2
snowboard=43.7
sports ball=43.6
kite=41.8
baseball bat=36.4
baseball glove=41.1
skateboard=57.5
surfboard=41.9
tennis racket=53.0
bottle=41.9
wine glass=39.3
cup=46.2
fork=44.9
knife=26.2
spoon=23.2
bowl=42.6
banana=26.9
apple=21.7
sandwich=36.6
orange=31.6
broccoli=24.0
carrot=24.1
hot dog=39.6
pizza=54.1
donut=50.8
cake=39.4
chair=32.0
couch=43.6
potted plant=29.9
bed=42.8
dining table=29.0
toilet=60.5
tv=58.0
laptop=65.0
mouse=60.7
remote=39.1
keyboard=54.7
cell phone=37.8
microwave=58.7
oven=36.9
toaster=37.8
sink=39.0
refrigerator=59.1
book=18.5
clock=50.2
vase=40.2
scissors=33.1
teddy bear=49.2
hair drier=10.2
toothbrush=32.4
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.4
[Epoch 23] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0023_44.4000.params
[Epoch 24] Set learning rate to 0.0002
[Epoch 24][Batch 99], Speed: 19.341 samples/sec, RPN_Conf=0.016,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.171,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 24][Batch 199], Speed: 20.170 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.097,RCNN_SmoothL1=0.168,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 24][Batch 299], Speed: 20.820 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.098,RCNN_SmoothL1=0.168,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 24][Batch 399], Speed: 20.568 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.035,RCNN_CrossEntropy=0.096,RCNN_SmoothL1=0.167,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 24][Batch 499], Speed: 20.650 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.695
[Epoch 24][Batch 599], Speed: 20.722 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 699], Speed: 19.718 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.234,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 799], Speed: 19.942 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 899], Speed: 20.725 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 999], Speed: 20.636 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 1099], Speed: 20.658 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 1199], Speed: 20.608 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 1299], Speed: 20.564 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.694
[Epoch 24][Batch 1399], Speed: 20.353 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1499], Speed: 20.628 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1599], Speed: 20.776 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1699], Speed: 20.002 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1799], Speed: 20.156 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1899], Speed: 20.000 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 1999], Speed: 19.454 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.693
[Epoch 24][Batch 2099], Speed: 20.162 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2199], Speed: 20.110 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2299], Speed: 20.536 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2399], Speed: 19.474 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2499], Speed: 19.944 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2599], Speed: 19.117 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2699], Speed: 20.552 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.166,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.692
[Epoch 24][Batch 2799], Speed: 20.798 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.095,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 2899], Speed: 20.788 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 2999], Speed: 20.062 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3099], Speed: 20.280 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.233,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3199], Speed: 20.758 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3299], Speed: 20.849 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3399], Speed: 20.797 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3499], Speed: 20.778 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.691
[Epoch 24][Batch 3599], Speed: 19.220 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 3699], Speed: 20.624 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 3799], Speed: 20.758 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 3899], Speed: 20.892 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 3999], Speed: 20.469 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 4099], Speed: 20.836 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 4199], Speed: 20.881 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.690
[Epoch 24][Batch 4299], Speed: 20.819 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4399], Speed: 20.509 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4499], Speed: 20.328 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4599], Speed: 20.500 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4699], Speed: 20.824 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4799], Speed: 20.892 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.948,RCNNL1Loss=0.689
[Epoch 24][Batch 4899], Speed: 20.628 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.689
[Epoch 24][Batch 4999], Speed: 20.831 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.689
[Epoch 24][Batch 5099], Speed: 20.454 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5199], Speed: 19.591 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5299], Speed: 20.432 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5399], Speed: 20.558 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5499], Speed: 20.219 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5599], Speed: 20.334 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5699], Speed: 19.867 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.165,RPNAcc=0.989,RPNL1Loss=0.232,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5799], Speed: 20.751 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.688
[Epoch 24][Batch 5899], Speed: 19.948 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 5999], Speed: 20.585 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6099], Speed: 20.368 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6199], Speed: 20.261 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6299], Speed: 20.770 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6399], Speed: 20.571 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6499], Speed: 20.472 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.687
[Epoch 24][Batch 6599], Speed: 20.116 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.093,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 6699], Speed: 20.733 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.093,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 6799], Speed: 20.265 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 6899], Speed: 19.985 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 6999], Speed: 20.308 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 7099], Speed: 20.264 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 7199], Speed: 20.627 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24][Batch 7299], Speed: 20.791 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.686
[Epoch 24] Training cost: 5752.780, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.094,RCNN_SmoothL1=0.164
[Epoch 24] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.449
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.664
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.488
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.290
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.486
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.579
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.352
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.563
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.591
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.420
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.634
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.736
person=57.1
bicycle=33.1
car=47.2
motorcycle=46.4
airplane=68.6
bus=69.0
train=67.6
truck=40.5
boat=29.7
traffic light=28.3
fire hydrant=70.5
stop sign=65.8
parking meter=48.0
bench=29.4
bird=37.3
cat=69.1
dog=65.5
horse=62.2
sheep=54.6
cow=58.9
elephant=66.4
bear=69.6
zebra=68.2
giraffe=66.7
backpack=19.5
umbrella=40.9
handbag=20.0
tie=38.8
suitcase=44.2
frisbee=68.6
skis=26.7
snowboard=45.7
sports ball=44.8
kite=42.5
baseball bat=37.2
baseball glove=40.6
skateboard=57.6
surfboard=41.5
tennis racket=53.1
bottle=42.9
wine glass=39.3
cup=46.1
fork=44.6
knife=26.4
spoon=24.2
bowl=44.0
banana=27.3
apple=22.6
sandwich=36.8
orange=32.7
broccoli=24.0
carrot=23.5
hot dog=40.3
pizza=54.7
donut=51.3
cake=40.7
chair=32.1
couch=43.7
potted plant=30.3
bed=40.9
dining table=29.1
toilet=62.4
tv=58.5
laptop=64.8
mouse=62.1
remote=41.0
keyboard=55.4
cell phone=38.1
microwave=61.1
oven=38.0
toaster=37.8
sink=38.7
refrigerator=60.9
book=18.3
clock=50.7
vase=40.0
scissors=33.5
teddy bear=50.9
hair drier=9.0
toothbrush=33.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.9
[Epoch 24] mAP 44.9 higher than current best [44.5] saving to faster_rcnn_fpn_syncbn_resnest101_coco_best.params
[Epoch 24] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0024_44.9000.params
[Epoch 25][Batch 99], Speed: 19.217 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.093,RCNN_SmoothL1=0.164,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 199], Speed: 20.032 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 299], Speed: 20.263 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 399], Speed: 20.168 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 499], Speed: 20.617 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 599], Speed: 20.399 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 699], Speed: 20.061 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 799], Speed: 20.335 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.685
[Epoch 25][Batch 899], Speed: 20.790 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 999], Speed: 20.163 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.231,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1099], Speed: 20.594 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1199], Speed: 20.788 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1299], Speed: 20.711 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1399], Speed: 20.391 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1499], Speed: 20.734 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1599], Speed: 20.232 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.684
[Epoch 25][Batch 1699], Speed: 20.688 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 1799], Speed: 20.320 samples/sec, RPN_Conf=0.015,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 1899], Speed: 20.873 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 1999], Speed: 19.877 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 2099], Speed: 20.767 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 2199], Speed: 19.986 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 2299], Speed: 20.512 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 2399], Speed: 20.393 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.683
[Epoch 25][Batch 2499], Speed: 20.755 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 2599], Speed: 20.718 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 2699], Speed: 20.767 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 2799], Speed: 20.829 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 2899], Speed: 20.431 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 2999], Speed: 20.789 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 3099], Speed: 20.795 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 3199], Speed: 20.774 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.682
[Epoch 25][Batch 3299], Speed: 20.443 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3399], Speed: 20.371 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3499], Speed: 20.692 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3599], Speed: 20.355 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.033,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3699], Speed: 20.346 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.230,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3799], Speed: 19.871 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3899], Speed: 20.172 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 3999], Speed: 20.733 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.681
[Epoch 25][Batch 4099], Speed: 20.913 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4199], Speed: 20.970 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4299], Speed: 20.761 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.162,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4399], Speed: 20.480 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4499], Speed: 20.600 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4599], Speed: 20.850 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4699], Speed: 20.234 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4799], Speed: 20.350 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.680
[Epoch 25][Batch 4899], Speed: 20.451 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 4999], Speed: 20.243 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5099], Speed: 19.950 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5199], Speed: 19.973 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5299], Speed: 20.226 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5399], Speed: 20.588 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5499], Speed: 20.142 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5599], Speed: 19.964 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.679
[Epoch 25][Batch 5699], Speed: 20.514 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 5799], Speed: 20.403 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 5899], Speed: 20.760 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 5999], Speed: 20.340 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 6099], Speed: 19.694 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 6199], Speed: 20.798 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 6299], Speed: 20.061 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 6399], Speed: 20.319 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.678
[Epoch 25][Batch 6499], Speed: 20.223 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.229,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 6599], Speed: 20.161 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 6699], Speed: 20.266 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 6799], Speed: 20.920 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 6899], Speed: 20.497 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 6999], Speed: 20.059 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 7099], Speed: 20.488 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 7199], Speed: 20.771 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25][Batch 7299], Speed: 20.541 samples/sec, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163,RPNAcc=0.989,RPNL1Loss=0.228,RCNNAcc=0.949,RCNNL1Loss=0.677
[Epoch 25] Training cost: 5745.402, RPN_Conf=0.014,RPN_SmoothL1=0.034,RCNN_CrossEntropy=0.092,RCNN_SmoothL1=0.163
[Epoch 25] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.449
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.664
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.489
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.289
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.486
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.580
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.352
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.562
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.592
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.418
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.631
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.737
person=57.4
bicycle=33.2
car=47.3
motorcycle=47.0
airplane=67.5
bus=68.8
train=67.2
truck=40.8
boat=29.4
traffic light=28.6
fire hydrant=69.6
stop sign=65.1
parking meter=47.8
bench=29.5
bird=37.4
cat=70.5
dog=64.9
horse=62.9
sheep=55.4
cow=59.1
elephant=66.0
bear=69.2
zebra=69.2
giraffe=68.4
backpack=20.0
umbrella=41.8
handbag=20.1
tie=38.8
suitcase=43.4
frisbee=69.3
skis=27.4
snowboard=46.1
sports ball=44.8
kite=42.1
baseball bat=38.3
baseball glove=40.6
skateboard=57.3
surfboard=41.2
tennis racket=52.7
bottle=43.4
wine glass=39.7
cup=45.8
fork=44.2
knife=26.3
spoon=24.6
bowl=43.9
banana=27.2
apple=22.5
sandwich=37.1
orange=33.0
broccoli=23.9
carrot=24.4
hot dog=38.1
pizza=55.2
donut=50.7
cake=40.8
chair=32.3
couch=43.8
potted plant=29.8
bed=41.7
dining table=28.9
toilet=63.2
tv=58.4
laptop=64.8
mouse=62.1
remote=39.9
keyboard=55.2
cell phone=38.1
microwave=59.2
oven=38.1
toaster=35.7
sink=38.2
refrigerator=59.9
book=17.9
clock=51.4
vase=39.9
scissors=31.8
teddy bear=50.8
hair drier=13.6
toothbrush=33.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=44.9
[Epoch 25] Saving parameters to faster_rcnn_fpn_syncbn_resnest101_coco_0025_44.9000.params