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='resnest50', 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_resnest50_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='resnest50', 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_resnest50_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: 20.321 samples/sec, RPN_Conf=0.353,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.543,RCNN_SmoothL1=0.145,RPNAcc=0.875,RPNL1Loss=0.573,RCNNAcc=0.944,RCNNL1Loss=1.954
[Epoch 0 Iteration 100] Set learning rate to 0.0093328
[Epoch 0][Batch 199], Speed: 26.102 samples/sec, RPN_Conf=0.266,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.516,RCNN_SmoothL1=0.209,RPNAcc=0.879,RPNL1Loss=0.558,RCNNAcc=0.934,RCNNL1Loss=2.138
[Epoch 0 Iteration 200] Set learning rate to 0.0119996
[Epoch 0][Batch 299], Speed: 26.492 samples/sec, RPN_Conf=0.228,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.495,RCNN_SmoothL1=0.229,RPNAcc=0.889,RPNL1Loss=0.552,RCNNAcc=0.931,RCNNL1Loss=2.176
[Epoch 0 Iteration 300] Set learning rate to 0.0146664
[Epoch 0][Batch 399], Speed: 26.509 samples/sec, RPN_Conf=0.202,RPN_SmoothL1=0.083,RCNN_CrossEntropy=0.463,RCNN_SmoothL1=0.230,RPNAcc=0.905,RPNL1Loss=0.544,RCNNAcc=0.932,RCNNL1Loss=2.159
[Epoch 0 Iteration 400] Set learning rate to 0.0173332
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='resnest50', 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_resnest50_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: 21.567 samples/sec, RPN_Conf=0.352,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.548,RCNN_SmoothL1=0.154,RPNAcc=0.868,RPNL1Loss=0.568,RCNNAcc=0.942,RCNNL1Loss=1.987
[Epoch 0 Iteration 100] Set learning rate to 0.0093328
[Epoch 0][Batch 199], Speed: 27.453 samples/sec, RPN_Conf=0.262,RPN_SmoothL1=0.084,RCNN_CrossEntropy=0.515,RCNN_SmoothL1=0.212,RPNAcc=0.877,RPNL1Loss=0.557,RCNNAcc=0.934,RCNNL1Loss=2.147
[Epoch 0 Iteration 200] Set learning rate to 0.0119996
[Epoch 0][Batch 299], Speed: 27.740 samples/sec, RPN_Conf=0.226,RPN_SmoothL1=0.083,RCNN_CrossEntropy=0.496,RCNN_SmoothL1=0.234,RPNAcc=0.883,RPNL1Loss=0.554,RCNNAcc=0.930,RCNNL1Loss=2.187
[Epoch 0 Iteration 300] Set learning rate to 0.0146664
[Epoch 0][Batch 399], Speed: 27.390 samples/sec, RPN_Conf=0.205,RPN_SmoothL1=0.083,RCNN_CrossEntropy=0.476,RCNN_SmoothL1=0.242,RPNAcc=0.898,RPNL1Loss=0.546,RCNNAcc=0.929,RCNNL1Loss=2.183
[Epoch 0 Iteration 400] Set learning rate to 0.0173332
[Epoch 0][Batch 499], Speed: 27.457 samples/sec, RPN_Conf=0.188,RPN_SmoothL1=0.083,RCNN_CrossEntropy=0.450,RCNN_SmoothL1=0.239,RPNAcc=0.910,RPNL1Loss=0.538,RCNNAcc=0.930,RCNNL1Loss=2.150
[Epoch 0 Iteration 500] Set learning rate to 0.02
[Epoch 0][Batch 599], Speed: 27.841 samples/sec, RPN_Conf=0.172,RPN_SmoothL1=0.081,RCNN_CrossEntropy=0.434,RCNN_SmoothL1=0.242,RPNAcc=0.919,RPNL1Loss=0.531,RCNNAcc=0.930,RCNNL1Loss=2.129
[Epoch 0][Batch 699], Speed: 27.530 samples/sec, RPN_Conf=0.160,RPN_SmoothL1=0.080,RCNN_CrossEntropy=0.425,RCNN_SmoothL1=0.248,RPNAcc=0.926,RPNL1Loss=0.521,RCNNAcc=0.930,RCNNL1Loss=2.103
[Epoch 0][Batch 799], Speed: 27.773 samples/sec, RPN_Conf=0.151,RPN_SmoothL1=0.079,RCNN_CrossEntropy=0.417,RCNN_SmoothL1=0.251,RPNAcc=0.931,RPNL1Loss=0.512,RCNNAcc=0.929,RCNNL1Loss=2.075
[Epoch 0][Batch 899], Speed: 27.826 samples/sec, RPN_Conf=0.143,RPN_SmoothL1=0.078,RCNN_CrossEntropy=0.410,RCNN_SmoothL1=0.256,RPNAcc=0.935,RPNL1Loss=0.505,RCNNAcc=0.928,RCNNL1Loss=2.041
[Epoch 0][Batch 999], Speed: 27.941 samples/sec, RPN_Conf=0.137,RPN_SmoothL1=0.078,RCNN_CrossEntropy=0.405,RCNN_SmoothL1=0.261,RPNAcc=0.938,RPNL1Loss=0.498,RCNNAcc=0.927,RCNNL1Loss=2.006
[Epoch 0][Batch 1099], Speed: 27.685 samples/sec, RPN_Conf=0.131,RPN_SmoothL1=0.077,RCNN_CrossEntropy=0.398,RCNN_SmoothL1=0.263,RPNAcc=0.941,RPNL1Loss=0.492,RCNNAcc=0.927,RCNNL1Loss=1.974
[Epoch 0][Batch 1199], Speed: 27.726 samples/sec, RPN_Conf=0.127,RPN_SmoothL1=0.076,RCNN_CrossEntropy=0.393,RCNN_SmoothL1=0.265,RPNAcc=0.944,RPNL1Loss=0.486,RCNNAcc=0.926,RCNNL1Loss=1.944
[Epoch 0][Batch 1299], Speed: 27.777 samples/sec, RPN_Conf=0.123,RPN_SmoothL1=0.076,RCNN_CrossEntropy=0.388,RCNN_SmoothL1=0.268,RPNAcc=0.946,RPNL1Loss=0.481,RCNNAcc=0.926,RCNNL1Loss=1.914
[Epoch 0][Batch 1399], Speed: 27.744 samples/sec, RPN_Conf=0.119,RPN_SmoothL1=0.075,RCNN_CrossEntropy=0.383,RCNN_SmoothL1=0.269,RPNAcc=0.948,RPNL1Loss=0.476,RCNNAcc=0.925,RCNNL1Loss=1.886
[Epoch 0][Batch 1499], Speed: 27.803 samples/sec, RPN_Conf=0.116,RPN_SmoothL1=0.075,RCNN_CrossEntropy=0.379,RCNN_SmoothL1=0.271,RPNAcc=0.949,RPNL1Loss=0.471,RCNNAcc=0.925,RCNNL1Loss=1.859
[Epoch 0][Batch 1599], Speed: 27.796 samples/sec, RPN_Conf=0.113,RPN_SmoothL1=0.074,RCNN_CrossEntropy=0.375,RCNN_SmoothL1=0.272,RPNAcc=0.951,RPNL1Loss=0.467,RCNNAcc=0.924,RCNNL1Loss=1.833
[Epoch 0][Batch 1699], Speed: 27.676 samples/sec, RPN_Conf=0.110,RPN_SmoothL1=0.074,RCNN_CrossEntropy=0.371,RCNN_SmoothL1=0.274,RPNAcc=0.952,RPNL1Loss=0.463,RCNNAcc=0.924,RCNNL1Loss=1.807
[Epoch 0][Batch 1799], Speed: 27.044 samples/sec, RPN_Conf=0.108,RPN_SmoothL1=0.073,RCNN_CrossEntropy=0.367,RCNN_SmoothL1=0.275,RPNAcc=0.953,RPNL1Loss=0.459,RCNNAcc=0.924,RCNNL1Loss=1.783
[Epoch 0][Batch 1899], Speed: 24.317 samples/sec, RPN_Conf=0.106,RPN_SmoothL1=0.073,RCNN_CrossEntropy=0.363,RCNN_SmoothL1=0.276,RPNAcc=0.954,RPNL1Loss=0.456,RCNNAcc=0.924,RCNNL1Loss=1.761
[Epoch 0][Batch 1999], Speed: 27.829 samples/sec, RPN_Conf=0.104,RPN_SmoothL1=0.072,RCNN_CrossEntropy=0.359,RCNN_SmoothL1=0.277,RPNAcc=0.955,RPNL1Loss=0.452,RCNNAcc=0.923,RCNNL1Loss=1.739
[Epoch 0][Batch 2099], Speed: 27.675 samples/sec, RPN_Conf=0.102,RPN_SmoothL1=0.072,RCNN_CrossEntropy=0.356,RCNN_SmoothL1=0.277,RPNAcc=0.956,RPNL1Loss=0.450,RCNNAcc=0.923,RCNNL1Loss=1.720
[Epoch 0][Batch 2199], Speed: 27.916 samples/sec, RPN_Conf=0.100,RPN_SmoothL1=0.072,RCNN_CrossEntropy=0.352,RCNN_SmoothL1=0.277,RPNAcc=0.957,RPNL1Loss=0.447,RCNNAcc=0.923,RCNNL1Loss=1.701
[Epoch 0][Batch 2299], Speed: 27.751 samples/sec, RPN_Conf=0.099,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.350,RCNN_SmoothL1=0.278,RPNAcc=0.958,RPNL1Loss=0.444,RCNNAcc=0.923,RCNNL1Loss=1.683
[Epoch 0][Batch 2399], Speed: 27.725 samples/sec, RPN_Conf=0.097,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.347,RCNN_SmoothL1=0.278,RPNAcc=0.959,RPNL1Loss=0.442,RCNNAcc=0.923,RCNNL1Loss=1.667
[Epoch 0][Batch 2499], Speed: 27.667 samples/sec, RPN_Conf=0.096,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.344,RCNN_SmoothL1=0.279,RPNAcc=0.959,RPNL1Loss=0.439,RCNNAcc=0.923,RCNNL1Loss=1.651
[Epoch 0][Batch 2599], Speed: 27.730 samples/sec, RPN_Conf=0.094,RPN_SmoothL1=0.071,RCNN_CrossEntropy=0.342,RCNN_SmoothL1=0.280,RPNAcc=0.960,RPNL1Loss=0.437,RCNNAcc=0.923,RCNNL1Loss=1.635
[Epoch 0][Batch 2699], Speed: 27.573 samples/sec, RPN_Conf=0.093,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.339,RCNN_SmoothL1=0.280,RPNAcc=0.961,RPNL1Loss=0.435,RCNNAcc=0.923,RCNNL1Loss=1.620
[Epoch 0][Batch 2799], Speed: 27.829 samples/sec, RPN_Conf=0.092,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.337,RCNN_SmoothL1=0.280,RPNAcc=0.961,RPNL1Loss=0.433,RCNNAcc=0.923,RCNNL1Loss=1.606
[Epoch 0][Batch 2899], Speed: 27.740 samples/sec, RPN_Conf=0.091,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.334,RCNN_SmoothL1=0.280,RPNAcc=0.962,RPNL1Loss=0.431,RCNNAcc=0.923,RCNNL1Loss=1.593
[Epoch 0][Batch 2999], Speed: 27.717 samples/sec, RPN_Conf=0.090,RPN_SmoothL1=0.070,RCNN_CrossEntropy=0.332,RCNN_SmoothL1=0.280,RPNAcc=0.962,RPNL1Loss=0.429,RCNNAcc=0.923,RCNNL1Loss=1.581
[Epoch 0][Batch 3099], Speed: 27.599 samples/sec, RPN_Conf=0.089,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.330,RCNN_SmoothL1=0.280,RPNAcc=0.963,RPNL1Loss=0.427,RCNNAcc=0.923,RCNNL1Loss=1.569
[Epoch 0][Batch 3199], Speed: 27.656 samples/sec, RPN_Conf=0.088,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.327,RCNN_SmoothL1=0.279,RPNAcc=0.963,RPNL1Loss=0.426,RCNNAcc=0.923,RCNNL1Loss=1.558
[Epoch 0][Batch 3299], Speed: 27.737 samples/sec, RPN_Conf=0.087,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.325,RCNN_SmoothL1=0.279,RPNAcc=0.964,RPNL1Loss=0.424,RCNNAcc=0.923,RCNNL1Loss=1.548
[Epoch 0][Batch 3399], Speed: 27.918 samples/sec, RPN_Conf=0.086,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.323,RCNN_SmoothL1=0.279,RPNAcc=0.964,RPNL1Loss=0.422,RCNNAcc=0.923,RCNNL1Loss=1.537
[Epoch 0][Batch 3499], Speed: 27.891 samples/sec, RPN_Conf=0.085,RPN_SmoothL1=0.069,RCNN_CrossEntropy=0.321,RCNN_SmoothL1=0.280,RPNAcc=0.964,RPNL1Loss=0.421,RCNNAcc=0.923,RCNNL1Loss=1.526
[Epoch 0][Batch 3599], Speed: 27.633 samples/sec, RPN_Conf=0.085,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.320,RCNN_SmoothL1=0.280,RPNAcc=0.965,RPNL1Loss=0.419,RCNNAcc=0.923,RCNNL1Loss=1.516
[Epoch 0][Batch 3699], Speed: 27.792 samples/sec, RPN_Conf=0.084,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.318,RCNN_SmoothL1=0.280,RPNAcc=0.965,RPNL1Loss=0.418,RCNNAcc=0.923,RCNNL1Loss=1.507
[Epoch 0][Batch 3799], Speed: 27.515 samples/sec, RPN_Conf=0.083,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.316,RCNN_SmoothL1=0.280,RPNAcc=0.965,RPNL1Loss=0.416,RCNNAcc=0.923,RCNNL1Loss=1.498
[Epoch 0][Batch 3899], Speed: 27.828 samples/sec, RPN_Conf=0.083,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.315,RCNN_SmoothL1=0.280,RPNAcc=0.966,RPNL1Loss=0.415,RCNNAcc=0.923,RCNNL1Loss=1.489
[Epoch 0][Batch 3999], Speed: 27.877 samples/sec, RPN_Conf=0.082,RPN_SmoothL1=0.068,RCNN_CrossEntropy=0.313,RCNN_SmoothL1=0.280,RPNAcc=0.966,RPNL1Loss=0.414,RCNNAcc=0.923,RCNNL1Loss=1.481
[Epoch 0][Batch 4099], Speed: 27.546 samples/sec, RPN_Conf=0.081,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.311,RCNN_SmoothL1=0.280,RPNAcc=0.966,RPNL1Loss=0.412,RCNNAcc=0.923,RCNNL1Loss=1.473
[Epoch 0][Batch 4199], Speed: 27.740 samples/sec, RPN_Conf=0.081,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.310,RCNN_SmoothL1=0.280,RPNAcc=0.967,RPNL1Loss=0.411,RCNNAcc=0.923,RCNNL1Loss=1.465
[Epoch 0][Batch 4299], Speed: 27.824 samples/sec, RPN_Conf=0.080,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.308,RCNN_SmoothL1=0.280,RPNAcc=0.967,RPNL1Loss=0.410,RCNNAcc=0.923,RCNNL1Loss=1.457
[Epoch 0][Batch 4399], Speed: 27.420 samples/sec, RPN_Conf=0.080,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.307,RCNN_SmoothL1=0.280,RPNAcc=0.967,RPNL1Loss=0.409,RCNNAcc=0.923,RCNNL1Loss=1.450
[Epoch 0][Batch 4499], Speed: 27.989 samples/sec, RPN_Conf=0.079,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.306,RCNN_SmoothL1=0.280,RPNAcc=0.967,RPNL1Loss=0.407,RCNNAcc=0.923,RCNNL1Loss=1.443
[Epoch 0][Batch 4599], Speed: 27.679 samples/sec, RPN_Conf=0.079,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.304,RCNN_SmoothL1=0.280,RPNAcc=0.968,RPNL1Loss=0.406,RCNNAcc=0.923,RCNNL1Loss=1.436
[Epoch 0][Batch 4699], Speed: 26.596 samples/sec, RPN_Conf=0.078,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.303,RCNN_SmoothL1=0.279,RPNAcc=0.968,RPNL1Loss=0.405,RCNNAcc=0.923,RCNNL1Loss=1.429
[Epoch 0][Batch 4799], Speed: 27.698 samples/sec, RPN_Conf=0.078,RPN_SmoothL1=0.067,RCNN_CrossEntropy=0.302,RCNN_SmoothL1=0.280,RPNAcc=0.968,RPNL1Loss=0.404,RCNNAcc=0.923,RCNNL1Loss=1.422
[Epoch 0][Batch 4899], Speed: 27.698 samples/sec, RPN_Conf=0.077,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.301,RCNN_SmoothL1=0.279,RPNAcc=0.968,RPNL1Loss=0.403,RCNNAcc=0.924,RCNNL1Loss=1.416
[Epoch 0][Batch 4999], Speed: 27.594 samples/sec, RPN_Conf=0.077,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.299,RCNN_SmoothL1=0.279,RPNAcc=0.969,RPNL1Loss=0.402,RCNNAcc=0.924,RCNNL1Loss=1.409
[Epoch 0][Batch 5099], Speed: 27.987 samples/sec, RPN_Conf=0.076,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.298,RCNN_SmoothL1=0.279,RPNAcc=0.969,RPNL1Loss=0.401,RCNNAcc=0.924,RCNNL1Loss=1.404
[Epoch 0][Batch 5199], Speed: 27.648 samples/sec, RPN_Conf=0.076,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.296,RCNN_SmoothL1=0.279,RPNAcc=0.969,RPNL1Loss=0.400,RCNNAcc=0.924,RCNNL1Loss=1.398
[Epoch 0][Batch 5299], Speed: 27.724 samples/sec, RPN_Conf=0.076,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.295,RCNN_SmoothL1=0.278,RPNAcc=0.969,RPNL1Loss=0.399,RCNNAcc=0.924,RCNNL1Loss=1.392
[Epoch 0][Batch 5399], Speed: 27.822 samples/sec, RPN_Conf=0.075,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.294,RCNN_SmoothL1=0.278,RPNAcc=0.969,RPNL1Loss=0.398,RCNNAcc=0.924,RCNNL1Loss=1.387
[Epoch 0][Batch 5499], Speed: 27.753 samples/sec, RPN_Conf=0.075,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.293,RCNN_SmoothL1=0.278,RPNAcc=0.970,RPNL1Loss=0.397,RCNNAcc=0.924,RCNNL1Loss=1.382
[Epoch 0][Batch 5599], Speed: 27.811 samples/sec, RPN_Conf=0.075,RPN_SmoothL1=0.066,RCNN_CrossEntropy=0.292,RCNN_SmoothL1=0.278,RPNAcc=0.970,RPNL1Loss=0.396,RCNNAcc=0.924,RCNNL1Loss=1.376
[Epoch 0][Batch 5699], Speed: 27.880 samples/sec, RPN_Conf=0.074,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.291,RCNN_SmoothL1=0.277,RPNAcc=0.970,RPNL1Loss=0.395,RCNNAcc=0.924,RCNNL1Loss=1.371
[Epoch 0][Batch 5799], Speed: 27.830 samples/sec, RPN_Conf=0.074,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.290,RCNN_SmoothL1=0.277,RPNAcc=0.970,RPNL1Loss=0.394,RCNNAcc=0.924,RCNNL1Loss=1.366
[Epoch 0][Batch 5899], Speed: 27.818 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.289,RCNN_SmoothL1=0.277,RPNAcc=0.970,RPNL1Loss=0.393,RCNNAcc=0.924,RCNNL1Loss=1.361
[Epoch 0][Batch 5999], Speed: 27.900 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.288,RCNN_SmoothL1=0.277,RPNAcc=0.970,RPNL1Loss=0.392,RCNNAcc=0.925,RCNNL1Loss=1.356
[Epoch 0][Batch 6099], Speed: 28.070 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.287,RCNN_SmoothL1=0.277,RPNAcc=0.970,RPNL1Loss=0.392,RCNNAcc=0.925,RCNNL1Loss=1.351
[Epoch 0][Batch 6199], Speed: 28.138 samples/sec, RPN_Conf=0.073,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.286,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.391,RCNNAcc=0.925,RCNNL1Loss=1.346
[Epoch 0][Batch 6299], Speed: 27.826 samples/sec, RPN_Conf=0.072,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.285,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.390,RCNNAcc=0.925,RCNNL1Loss=1.342
[Epoch 0][Batch 6399], Speed: 27.780 samples/sec, RPN_Conf=0.072,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.284,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.389,RCNNAcc=0.925,RCNNL1Loss=1.337
[Epoch 0][Batch 6499], Speed: 28.008 samples/sec, RPN_Conf=0.072,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.284,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.388,RCNNAcc=0.925,RCNNL1Loss=1.332
[Epoch 0][Batch 6599], Speed: 27.806 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.065,RCNN_CrossEntropy=0.283,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.387,RCNNAcc=0.925,RCNNL1Loss=1.328
[Epoch 0][Batch 6699], Speed: 27.877 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.282,RCNN_SmoothL1=0.277,RPNAcc=0.971,RPNL1Loss=0.387,RCNNAcc=0.925,RCNNL1Loss=1.324
[Epoch 0][Batch 6799], Speed: 27.643 samples/sec, RPN_Conf=0.071,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.281,RCNN_SmoothL1=0.276,RPNAcc=0.971,RPNL1Loss=0.386,RCNNAcc=0.925,RCNNL1Loss=1.320
[Epoch 0][Batch 6899], Speed: 27.860 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.280,RCNN_SmoothL1=0.276,RPNAcc=0.972,RPNL1Loss=0.385,RCNNAcc=0.925,RCNNL1Loss=1.316
[Epoch 0][Batch 6999], Speed: 27.813 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.279,RCNN_SmoothL1=0.276,RPNAcc=0.972,RPNL1Loss=0.384,RCNNAcc=0.925,RCNNL1Loss=1.312
[Epoch 0][Batch 7099], Speed: 27.975 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.278,RCNN_SmoothL1=0.276,RPNAcc=0.972,RPNL1Loss=0.384,RCNNAcc=0.925,RCNNL1Loss=1.308
[Epoch 0][Batch 7199], Speed: 27.921 samples/sec, RPN_Conf=0.070,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.277,RCNN_SmoothL1=0.276,RPNAcc=0.972,RPNL1Loss=0.383,RCNNAcc=0.925,RCNNL1Loss=1.305
[Epoch 0][Batch 7299], Speed: 27.965 samples/sec, RPN_Conf=0.069,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.277,RCNN_SmoothL1=0.275,RPNAcc=0.972,RPNL1Loss=0.382,RCNNAcc=0.925,RCNNL1Loss=1.301
[Epoch 0] Training cost: 4252.914, RPN_Conf=0.069,RPN_SmoothL1=0.064,RCNN_CrossEntropy=0.276,RCNN_SmoothL1=0.275
[Epoch 0] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.210
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.418
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.188
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.127
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.238
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.251
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.203
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.357
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.389
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.238
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.425
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.467
person=39.3
bicycle=14.7
car=29.2
motorcycle=22.3
airplane=29.3
bus=42.1
train=36.8
truck=15.3
boat=10.9
traffic light=17.8
fire hydrant=36.2
stop sign=48.7
parking meter=16.3
bench=9.8
bird=19.4
cat=37.0
dog=34.1
horse=29.8
sheep=30.3
cow=32.9
elephant=42.4
bear=46.5
zebra=41.8
giraffe=38.0
backpack=5.3
umbrella=17.5
handbag=3.6
tie=12.5
suitcase=12.2
frisbee=49.5
skis=6.3
snowboard=8.7
sports ball=34.1
kite=18.0
baseball bat=13.8
baseball glove=19.2
skateboard=21.3
surfboard=17.4
tennis racket=26.4
bottle=25.5
wine glass=21.1
cup=27.5
fork=7.6
knife=4.3
spoon=2.8
bowl=24.5
banana=9.3
apple=8.1
sandwich=15.3
orange=20.9
broccoli=11.3
carrot=11.0
hot dog=7.6
pizza=30.0
donut=23.5
cake=15.2
chair=12.7
couch=20.3
potted plant=12.9
bed=21.8
dining table=11.7
toilet=34.7
tv=31.2
laptop=32.4
mouse=38.6
remote=7.1
keyboard=15.5
cell phone=12.8
microwave=31.1
oven=11.8
toaster=0.0
sink=18.3
refrigerator=22.4
book=7.7
clock=40.1
vase=18.5
scissors=7.1
teddy bear=20.1
hair drier=0.0
toothbrush=0.7
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=21.0
[Epoch 0] mAP 21.0 higher than current best [0] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 0] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0000_21.0000.params
[Epoch 1][Batch 99], Speed: 25.492 samples/sec, RPN_Conf=0.048,RPN_SmoothL1=0.059,RCNN_CrossEntropy=0.218,RCNN_SmoothL1=0.264,RPNAcc=0.972,RPNL1Loss=0.381,RCNNAcc=0.926,RCNNL1Loss=1.296
[Epoch 1][Batch 199], Speed: 27.832 samples/sec, RPN_Conf=0.049,RPN_SmoothL1=0.059,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.972,RPNL1Loss=0.380,RCNNAcc=0.926,RCNNL1Loss=1.292
[Epoch 1][Batch 299], Speed: 28.031 samples/sec, RPN_Conf=0.049,RPN_SmoothL1=0.058,RCNN_CrossEntropy=0.220,RCNN_SmoothL1=0.266,RPNAcc=0.972,RPNL1Loss=0.380,RCNNAcc=0.926,RCNNL1Loss=1.289
[Epoch 1][Batch 399], Speed: 27.911 samples/sec, RPN_Conf=0.048,RPN_SmoothL1=0.058,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.264,RPNAcc=0.973,RPNL1Loss=0.379,RCNNAcc=0.926,RCNNL1Loss=1.285
[Epoch 1][Batch 499], Speed: 28.047 samples/sec, RPN_Conf=0.048,RPN_SmoothL1=0.058,RCNN_CrossEntropy=0.218,RCNN_SmoothL1=0.261,RPNAcc=0.973,RPNL1Loss=0.378,RCNNAcc=0.926,RCNNL1Loss=1.282
[Epoch 1][Batch 599], Speed: 28.045 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.259,RPNAcc=0.973,RPNL1Loss=0.378,RCNNAcc=0.926,RCNNL1Loss=1.279
[Epoch 1][Batch 699], Speed: 27.936 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.259,RPNAcc=0.973,RPNL1Loss=0.377,RCNNAcc=0.926,RCNNL1Loss=1.275
[Epoch 1][Batch 799], Speed: 27.851 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.260,RPNAcc=0.973,RPNL1Loss=0.377,RCNNAcc=0.926,RCNNL1Loss=1.272
[Epoch 1][Batch 899], Speed: 28.011 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.262,RPNAcc=0.973,RPNL1Loss=0.376,RCNNAcc=0.926,RCNNL1Loss=1.269
[Epoch 1][Batch 999], Speed: 28.071 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.217,RCNN_SmoothL1=0.264,RPNAcc=0.973,RPNL1Loss=0.375,RCNNAcc=0.926,RCNNL1Loss=1.265
[Epoch 1][Batch 1099], Speed: 27.950 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.057,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.973,RPNL1Loss=0.375,RCNNAcc=0.926,RCNNL1Loss=1.262
[Epoch 1][Batch 1199], Speed: 27.797 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.374,RCNNAcc=0.926,RCNNL1Loss=1.259
[Epoch 1][Batch 1299], Speed: 28.002 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.374,RCNNAcc=0.926,RCNNL1Loss=1.256
[Epoch 1][Batch 1399], Speed: 27.743 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.373,RCNNAcc=0.926,RCNNL1Loss=1.254
[Epoch 1][Batch 1499], Speed: 27.738 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.220,RCNN_SmoothL1=0.266,RPNAcc=0.974,RPNL1Loss=0.372,RCNNAcc=0.926,RCNNL1Loss=1.251
[Epoch 1][Batch 1599], Speed: 27.891 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.266,RPNAcc=0.974,RPNL1Loss=0.372,RCNNAcc=0.926,RCNNL1Loss=1.247
[Epoch 1][Batch 1699], Speed: 27.898 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.266,RPNAcc=0.974,RPNL1Loss=0.371,RCNNAcc=0.926,RCNNL1Loss=1.245
[Epoch 1][Batch 1799], Speed: 27.900 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.371,RCNNAcc=0.926,RCNNL1Loss=1.242
[Epoch 1][Batch 1899], Speed: 27.833 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.219,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.370,RCNNAcc=0.926,RCNNL1Loss=1.239
[Epoch 1][Batch 1999], Speed: 27.977 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.218,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.370,RCNNAcc=0.927,RCNNL1Loss=1.236
[Epoch 1][Batch 2099], Speed: 27.777 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.218,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.369,RCNNAcc=0.927,RCNNL1Loss=1.233
[Epoch 1][Batch 2199], Speed: 27.867 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.218,RCNN_SmoothL1=0.265,RPNAcc=0.974,RPNL1Loss=0.369,RCNNAcc=0.927,RCNNL1Loss=1.231
[Epoch 1][Batch 2299], Speed: 27.950 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.217,RCNN_SmoothL1=0.264,RPNAcc=0.974,RPNL1Loss=0.368,RCNNAcc=0.927,RCNNL1Loss=1.228
[Epoch 1][Batch 2399], Speed: 27.974 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.217,RCNN_SmoothL1=0.264,RPNAcc=0.975,RPNL1Loss=0.368,RCNNAcc=0.927,RCNNL1Loss=1.226
[Epoch 1][Batch 2499], Speed: 27.909 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.217,RCNN_SmoothL1=0.264,RPNAcc=0.975,RPNL1Loss=0.367,RCNNAcc=0.927,RCNNL1Loss=1.224
[Epoch 1][Batch 2599], Speed: 27.942 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.217,RCNN_SmoothL1=0.264,RPNAcc=0.975,RPNL1Loss=0.367,RCNNAcc=0.927,RCNNL1Loss=1.221
[Epoch 1][Batch 2699], Speed: 27.960 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.366,RCNNAcc=0.927,RCNNL1Loss=1.219
[Epoch 1][Batch 2799], Speed: 27.950 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.366,RCNNAcc=0.927,RCNNL1Loss=1.216
[Epoch 1][Batch 2899], Speed: 27.815 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.365,RCNNAcc=0.927,RCNNL1Loss=1.214
[Epoch 1][Batch 2999], Speed: 27.773 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.365,RCNNAcc=0.927,RCNNL1Loss=1.211
[Epoch 1][Batch 3099], Speed: 28.025 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.364,RCNNAcc=0.927,RCNNL1Loss=1.209
[Epoch 1][Batch 3199], Speed: 27.803 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.364,RCNNAcc=0.927,RCNNL1Loss=1.207
[Epoch 1][Batch 3299], Speed: 27.991 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.363,RCNNAcc=0.927,RCNNL1Loss=1.204
[Epoch 1][Batch 3399], Speed: 28.183 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.363,RCNNAcc=0.927,RCNNL1Loss=1.202
[Epoch 1][Batch 3499], Speed: 28.042 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.362,RCNNAcc=0.927,RCNNL1Loss=1.200
[Epoch 1][Batch 3599], Speed: 27.924 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.362,RCNNAcc=0.927,RCNNL1Loss=1.198
[Epoch 1][Batch 3699], Speed: 27.847 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.263,RPNAcc=0.975,RPNL1Loss=0.362,RCNNAcc=0.927,RCNNL1Loss=1.196
[Epoch 1][Batch 3799], Speed: 28.028 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.264,RPNAcc=0.975,RPNL1Loss=0.361,RCNNAcc=0.927,RCNNL1Loss=1.194
[Epoch 1][Batch 3899], Speed: 27.801 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.264,RPNAcc=0.976,RPNL1Loss=0.361,RCNNAcc=0.927,RCNNL1Loss=1.191
[Epoch 1][Batch 3999], Speed: 27.838 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.216,RCNN_SmoothL1=0.264,RPNAcc=0.976,RPNL1Loss=0.360,RCNNAcc=0.927,RCNNL1Loss=1.189
[Epoch 1][Batch 4099], Speed: 27.936 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.360,RCNNAcc=0.927,RCNNL1Loss=1.187
[Epoch 1][Batch 4199], Speed: 27.880 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.359,RCNNAcc=0.928,RCNNL1Loss=1.185
[Epoch 1][Batch 4299], Speed: 27.839 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.359,RCNNAcc=0.928,RCNNL1Loss=1.183
[Epoch 1][Batch 4399], Speed: 27.890 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.359,RCNNAcc=0.928,RCNNL1Loss=1.182
[Epoch 1][Batch 4499], Speed: 27.872 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.358,RCNNAcc=0.928,RCNNL1Loss=1.180
[Epoch 1][Batch 4599], Speed: 27.854 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.358,RCNNAcc=0.928,RCNNL1Loss=1.178
[Epoch 1][Batch 4699], Speed: 27.952 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.215,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.357,RCNNAcc=0.928,RCNNL1Loss=1.176
[Epoch 1][Batch 4799], Speed: 28.004 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.357,RCNNAcc=0.928,RCNNL1Loss=1.174
[Epoch 1][Batch 4899], Speed: 27.853 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.357,RCNNAcc=0.928,RCNNL1Loss=1.172
[Epoch 1][Batch 4999], Speed: 27.932 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.356,RCNNAcc=0.928,RCNNL1Loss=1.171
[Epoch 1][Batch 5099], Speed: 28.065 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.356,RCNNAcc=0.928,RCNNL1Loss=1.169
[Epoch 1][Batch 5199], Speed: 28.118 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.356,RCNNAcc=0.928,RCNNL1Loss=1.167
[Epoch 1][Batch 5299], Speed: 27.694 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.355,RCNNAcc=0.928,RCNNL1Loss=1.165
[Epoch 1][Batch 5399], Speed: 27.885 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.355,RCNNAcc=0.928,RCNNL1Loss=1.164
[Epoch 1][Batch 5499], Speed: 27.905 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.355,RCNNAcc=0.928,RCNNL1Loss=1.162
[Epoch 1][Batch 5599], Speed: 27.874 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.976,RPNL1Loss=0.354,RCNNAcc=0.928,RCNNL1Loss=1.160
[Epoch 1][Batch 5699], Speed: 26.530 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.056,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.977,RPNL1Loss=0.354,RCNNAcc=0.928,RCNNL1Loss=1.158
[Epoch 1][Batch 5799], Speed: 27.883 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.214,RCNN_SmoothL1=0.263,RPNAcc=0.977,RPNL1Loss=0.353,RCNNAcc=0.928,RCNNL1Loss=1.157
[Epoch 1][Batch 5899], Speed: 28.056 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.263,RPNAcc=0.977,RPNL1Loss=0.353,RCNNAcc=0.928,RCNNL1Loss=1.155
[Epoch 1][Batch 5999], Speed: 27.958 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.263,RPNAcc=0.977,RPNL1Loss=0.353,RCNNAcc=0.928,RCNNL1Loss=1.153
[Epoch 1][Batch 6099], Speed: 27.927 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.352,RCNNAcc=0.928,RCNNL1Loss=1.151
[Epoch 1][Batch 6199], Speed: 27.877 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.352,RCNNAcc=0.928,RCNNL1Loss=1.150
[Epoch 1][Batch 6299], Speed: 27.846 samples/sec, RPN_Conf=0.047,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.263,RPNAcc=0.977,RPNL1Loss=0.352,RCNNAcc=0.928,RCNNL1Loss=1.148
[Epoch 1][Batch 6399], Speed: 27.887 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.351,RCNNAcc=0.928,RCNNL1Loss=1.147
[Epoch 1][Batch 6499], Speed: 27.893 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.351,RCNNAcc=0.928,RCNNL1Loss=1.145
[Epoch 1][Batch 6599], Speed: 28.118 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.351,RCNNAcc=0.928,RCNNL1Loss=1.144
[Epoch 1][Batch 6699], Speed: 27.719 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.351,RCNNAcc=0.928,RCNNL1Loss=1.142
[Epoch 1][Batch 6799], Speed: 27.872 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.350,RCNNAcc=0.928,RCNNL1Loss=1.141
[Epoch 1][Batch 6899], Speed: 27.821 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.350,RCNNAcc=0.928,RCNNL1Loss=1.139
[Epoch 1][Batch 6999], Speed: 27.848 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.350,RCNNAcc=0.928,RCNNL1Loss=1.138
[Epoch 1][Batch 7099], Speed: 27.815 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.349,RCNNAcc=0.928,RCNNL1Loss=1.136
[Epoch 1][Batch 7199], Speed: 27.856 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.349,RCNNAcc=0.929,RCNNL1Loss=1.135
[Epoch 1][Batch 7299], Speed: 27.913 samples/sec, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262,RPNAcc=0.977,RPNL1Loss=0.349,RCNNAcc=0.929,RCNNL1Loss=1.134
[Epoch 1] Training cost: 4210.134, RPN_Conf=0.046,RPN_SmoothL1=0.055,RCNN_CrossEntropy=0.213,RCNN_SmoothL1=0.262
[Epoch 1] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.260
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.470
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.260
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.154
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.292
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.318
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.237
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.399
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.431
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.280
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.464
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.517
person=43.8
bicycle=19.5
car=30.4
motorcycle=27.5
airplane=39.1
bus=49.0
train=42.8
truck=19.8
boat=13.7
traffic light=19.3
fire hydrant=49.4
stop sign=54.3
parking meter=33.3
bench=12.8
bird=22.9
cat=38.1
dog=33.7
horse=30.7
sheep=33.9
cow=41.2
elephant=46.7
bear=50.6
zebra=50.9
giraffe=52.9
backpack=5.8
umbrella=25.0
handbag=5.5
tie=18.5
suitcase=15.5
frisbee=54.7
skis=10.0
snowboard=14.2
sports ball=36.1
kite=30.5
baseball bat=18.0
baseball glove=28.5
skateboard=33.1
surfboard=21.4
tennis racket=30.7
bottle=29.1
wine glass=22.9
cup=30.2
fork=11.9
knife=7.2
spoon=4.3
bowl=30.2
banana=13.5
apple=14.3
sandwich=21.4
orange=23.1
broccoli=14.4
carrot=12.3
hot dog=14.0
pizza=36.4
donut=32.7
cake=17.0
chair=14.5
couch=22.4
potted plant=16.8
bed=24.5
dining table=15.8
toilet=41.2
tv=40.7
laptop=34.4
mouse=46.5
remote=13.5
keyboard=31.0
cell phone=19.2
microwave=30.0
oven=20.9
toaster=0.0
sink=23.4
refrigerator=29.0
book=7.5
clock=43.0
vase=28.8
scissors=8.7
teddy bear=22.7
hair drier=0.0
toothbrush=5.4
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=26.0
[Epoch 1] mAP 26.0 higher than current best [21.0] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 1] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0001_26.0000.params
[Epoch 2][Batch 99], Speed: 25.615 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.249,RPNAcc=0.977,RPNL1Loss=0.348,RCNNAcc=0.929,RCNNL1Loss=1.132
[Epoch 2][Batch 199], Speed: 27.990 samples/sec, RPN_Conf=0.040,RPN_SmoothL1=0.052,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.977,RPNL1Loss=0.348,RCNNAcc=0.929,RCNNL1Loss=1.130
[Epoch 2][Batch 299], Speed: 27.912 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.197,RCNN_SmoothL1=0.254,RPNAcc=0.977,RPNL1Loss=0.348,RCNNAcc=0.929,RCNNL1Loss=1.129
[Epoch 2][Batch 399], Speed: 28.001 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.198,RCNN_SmoothL1=0.255,RPNAcc=0.977,RPNL1Loss=0.347,RCNNAcc=0.929,RCNNL1Loss=1.127
[Epoch 2][Batch 499], Speed: 27.826 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.197,RCNN_SmoothL1=0.254,RPNAcc=0.977,RPNL1Loss=0.347,RCNNAcc=0.929,RCNNL1Loss=1.126
[Epoch 2][Batch 599], Speed: 27.789 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.196,RCNN_SmoothL1=0.253,RPNAcc=0.977,RPNL1Loss=0.347,RCNNAcc=0.929,RCNNL1Loss=1.124
[Epoch 2][Batch 699], Speed: 27.778 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.346,RCNNAcc=0.929,RCNNL1Loss=1.123
[Epoch 2][Batch 799], Speed: 27.966 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.346,RCNNAcc=0.929,RCNNL1Loss=1.121
[Epoch 2][Batch 899], Speed: 27.844 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.346,RCNNAcc=0.929,RCNNL1Loss=1.120
[Epoch 2][Batch 999], Speed: 27.829 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.345,RCNNAcc=0.929,RCNNL1Loss=1.119
[Epoch 2][Batch 1099], Speed: 27.850 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.345,RCNNAcc=0.929,RCNNL1Loss=1.117
[Epoch 2][Batch 1199], Speed: 27.928 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.345,RCNNAcc=0.929,RCNNL1Loss=1.116
[Epoch 2][Batch 1299], Speed: 27.894 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.929,RCNNL1Loss=1.115
[Epoch 2][Batch 1399], Speed: 27.687 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.929,RCNNL1Loss=1.113
[Epoch 2][Batch 1499], Speed: 27.961 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.929,RCNNL1Loss=1.112
[Epoch 2][Batch 1599], Speed: 27.820 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.344,RCNNAcc=0.929,RCNNL1Loss=1.110
[Epoch 2][Batch 1699], Speed: 28.033 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.929,RCNNL1Loss=1.109
[Epoch 2][Batch 1799], Speed: 27.857 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.929,RCNNL1Loss=1.108
[Epoch 2][Batch 1899], Speed: 27.716 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.196,RCNN_SmoothL1=0.253,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.929,RCNNL1Loss=1.106
[Epoch 2][Batch 1999], Speed: 27.742 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.343,RCNNAcc=0.929,RCNNL1Loss=1.105
[Epoch 2][Batch 2099], Speed: 27.812 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.342,RCNNAcc=0.929,RCNNL1Loss=1.104
[Epoch 2][Batch 2199], Speed: 27.695 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.342,RCNNAcc=0.929,RCNNL1Loss=1.103
[Epoch 2][Batch 2299], Speed: 27.829 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.342,RCNNAcc=0.929,RCNNL1Loss=1.102
[Epoch 2][Batch 2399], Speed: 27.924 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.252,RPNAcc=0.978,RPNL1Loss=0.341,RCNNAcc=0.930,RCNNL1Loss=1.100
[Epoch 2][Batch 2499], Speed: 27.852 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.251,RPNAcc=0.978,RPNL1Loss=0.341,RCNNAcc=0.930,RCNNL1Loss=1.099
[Epoch 2][Batch 2599], Speed: 27.777 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.251,RPNAcc=0.978,RPNL1Loss=0.341,RCNNAcc=0.930,RCNNL1Loss=1.098
[Epoch 2][Batch 2699], Speed: 26.507 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.251,RPNAcc=0.978,RPNL1Loss=0.341,RCNNAcc=0.930,RCNNL1Loss=1.097
[Epoch 2][Batch 2799], Speed: 27.907 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.251,RPNAcc=0.978,RPNL1Loss=0.340,RCNNAcc=0.930,RCNNL1Loss=1.095
[Epoch 2][Batch 2899], Speed: 27.961 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.251,RPNAcc=0.978,RPNL1Loss=0.340,RCNNAcc=0.930,RCNNL1Loss=1.094
[Epoch 2][Batch 2999], Speed: 27.917 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.250,RPNAcc=0.978,RPNL1Loss=0.340,RCNNAcc=0.930,RCNNL1Loss=1.093
[Epoch 2][Batch 3099], Speed: 27.875 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.978,RPNL1Loss=0.340,RCNNAcc=0.930,RCNNL1Loss=1.092
[Epoch 2][Batch 3199], Speed: 27.850 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.978,RPNL1Loss=0.339,RCNNAcc=0.930,RCNNL1Loss=1.091
[Epoch 2][Batch 3299], Speed: 27.931 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.978,RPNL1Loss=0.339,RCNNAcc=0.930,RCNNL1Loss=1.090
[Epoch 2][Batch 3399], Speed: 27.852 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.339,RCNNAcc=0.930,RCNNL1Loss=1.089
[Epoch 2][Batch 3499], Speed: 27.867 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.339,RCNNAcc=0.930,RCNNL1Loss=1.088
[Epoch 2][Batch 3599], Speed: 27.829 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.930,RCNNL1Loss=1.086
[Epoch 2][Batch 3699], Speed: 28.144 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.930,RCNNL1Loss=1.085
[Epoch 2][Batch 3799], Speed: 27.833 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.930,RCNNL1Loss=1.084
[Epoch 2][Batch 3899], Speed: 27.837 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.930,RCNNL1Loss=1.083
[Epoch 2][Batch 3999], Speed: 27.854 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.338,RCNNAcc=0.930,RCNNL1Loss=1.082
[Epoch 2][Batch 4099], Speed: 27.761 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.930,RCNNL1Loss=1.081
[Epoch 2][Batch 4199], Speed: 27.718 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.930,RCNNL1Loss=1.080
[Epoch 2][Batch 4299], Speed: 27.736 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.930,RCNNL1Loss=1.079
[Epoch 2][Batch 4399], Speed: 27.678 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.337,RCNNAcc=0.930,RCNNL1Loss=1.078
[Epoch 2][Batch 4499], Speed: 27.709 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.930,RCNNL1Loss=1.077
[Epoch 2][Batch 4599], Speed: 27.805 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.930,RCNNL1Loss=1.076
[Epoch 2][Batch 4699], Speed: 27.905 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.193,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.930,RCNNL1Loss=1.075
[Epoch 2][Batch 4799], Speed: 27.797 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.336,RCNNAcc=0.930,RCNNL1Loss=1.074
[Epoch 2][Batch 4899], Speed: 27.944 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.930,RCNNL1Loss=1.073
[Epoch 2][Batch 4999], Speed: 27.911 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.930,RCNNL1Loss=1.072
[Epoch 2][Batch 5099], Speed: 27.762 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.930,RCNNL1Loss=1.071
[Epoch 2][Batch 5199], Speed: 27.773 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.335,RCNNAcc=0.930,RCNNL1Loss=1.070
[Epoch 2][Batch 5299], Speed: 28.162 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.930,RCNNL1Loss=1.069
[Epoch 2][Batch 5399], Speed: 27.720 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.930,RCNNL1Loss=1.068
[Epoch 2][Batch 5499], Speed: 27.910 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.930,RCNNL1Loss=1.067
[Epoch 2][Batch 5599], Speed: 27.635 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.931,RCNNL1Loss=1.066
[Epoch 2][Batch 5699], Speed: 27.911 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.334,RCNNAcc=0.931,RCNNL1Loss=1.065
[Epoch 2][Batch 5799], Speed: 27.847 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.931,RCNNL1Loss=1.064
[Epoch 2][Batch 5899], Speed: 27.730 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.931,RCNNL1Loss=1.063
[Epoch 2][Batch 5999], Speed: 27.757 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.931,RCNNL1Loss=1.062
[Epoch 2][Batch 6099], Speed: 27.930 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.931,RCNNL1Loss=1.061
[Epoch 2][Batch 6199], Speed: 27.750 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.333,RCNNAcc=0.931,RCNNL1Loss=1.060
[Epoch 2][Batch 6299], Speed: 27.848 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.332,RCNNAcc=0.931,RCNNL1Loss=1.059
[Epoch 2][Batch 6399], Speed: 27.774 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.332,RCNNAcc=0.931,RCNNL1Loss=1.059
[Epoch 2][Batch 6499], Speed: 27.890 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.332,RCNNAcc=0.931,RCNNL1Loss=1.058
[Epoch 2][Batch 6599], Speed: 27.793 samples/sec, RPN_Conf=0.041,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.332,RCNNAcc=0.931,RCNNL1Loss=1.057
[Epoch 2][Batch 6699], Speed: 27.732 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.332,RCNNAcc=0.931,RCNNL1Loss=1.056
[Epoch 2][Batch 6799], Speed: 27.863 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.331,RCNNAcc=0.931,RCNNL1Loss=1.055
[Epoch 2][Batch 6899], Speed: 27.884 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.331,RCNNAcc=0.931,RCNNL1Loss=1.054
[Epoch 2][Batch 6999], Speed: 27.722 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.331,RCNNAcc=0.931,RCNNL1Loss=1.053
[Epoch 2][Batch 7099], Speed: 27.869 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.195,RCNN_SmoothL1=0.250,RPNAcc=0.979,RPNL1Loss=0.331,RCNNAcc=0.931,RCNNL1Loss=1.052
[Epoch 2][Batch 7199], Speed: 27.845 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.980,RPNL1Loss=0.331,RCNNAcc=0.931,RCNNL1Loss=1.051
[Epoch 2][Batch 7299], Speed: 27.780 samples/sec, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.931,RCNNL1Loss=1.051
[Epoch 2] Training cost: 4220.147, RPN_Conf=0.042,RPN_SmoothL1=0.053,RCNN_CrossEntropy=0.194,RCNN_SmoothL1=0.249
[Epoch 2] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.282
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.491
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.289
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.172
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.316
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.355
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.256
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.424
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.454
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.288
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.492
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.548
person=45.5
bicycle=15.6
car=33.9
motorcycle=30.0
airplane=41.2
bus=49.4
train=47.1
truck=22.3
boat=16.6
traffic light=21.7
fire hydrant=54.0
stop sign=51.8
parking meter=30.3
bench=15.2
bird=24.3
cat=46.7
dog=34.3
horse=39.7
sheep=32.7
cow=37.8
elephant=48.7
bear=49.2
zebra=50.8
giraffe=55.1
backpack=6.9
umbrella=26.4
handbag=6.2
tie=21.3
suitcase=15.8
frisbee=53.6
skis=13.1
snowboard=15.3
sports ball=33.1
kite=29.7
baseball bat=16.3
baseball glove=28.9
skateboard=38.3
surfboard=21.7
tennis racket=30.5
bottle=30.2
wine glass=27.1
cup=33.3
fork=20.2
knife=8.5
spoon=7.1
bowl=31.5
banana=14.9
apple=12.4
sandwich=23.3
orange=23.8
broccoli=8.9
carrot=13.6
hot dog=13.0
pizza=40.4
donut=37.4
cake=26.3
chair=16.1
couch=25.3
potted plant=18.2
bed=29.6
dining table=18.6
toilet=45.1
tv=43.6
laptop=35.5
mouse=49.0
remote=19.2
keyboard=39.1
cell phone=24.2
microwave=43.4
oven=21.3
toaster=14.0
sink=24.9
refrigerator=35.7
book=9.1
clock=43.0
vase=26.8
scissors=15.3
teddy bear=27.5
hair drier=0.0
toothbrush=5.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=28.2
[Epoch 2] mAP 28.2 higher than current best [26.0] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 2] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0002_28.2000.params
[Epoch 3][Batch 99], Speed: 25.625 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.054,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.246,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.931,RCNNL1Loss=1.049
[Epoch 3][Batch 199], Speed: 27.900 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.239,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.931,RCNNL1Loss=1.048
[Epoch 3][Batch 299], Speed: 27.742 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.239,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.931,RCNNL1Loss=1.048
[Epoch 3][Batch 399], Speed: 27.975 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.052,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.241,RPNAcc=0.980,RPNL1Loss=0.330,RCNNAcc=0.931,RCNNL1Loss=1.047
[Epoch 3][Batch 499], Speed: 27.932 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.052,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.241,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.931,RCNNL1Loss=1.046
[Epoch 3][Batch 599], Speed: 27.886 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.052,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.931,RCNNL1Loss=1.045
[Epoch 3][Batch 699], Speed: 27.716 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.052,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.931,RCNNL1Loss=1.044
[Epoch 3][Batch 799], Speed: 27.875 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.931,RCNNL1Loss=1.043
[Epoch 3][Batch 899], Speed: 27.795 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.329,RCNNAcc=0.931,RCNNL1Loss=1.042
[Epoch 3][Batch 999], Speed: 27.749 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.931,RCNNL1Loss=1.041
[Epoch 3][Batch 1099], Speed: 27.830 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.931,RCNNL1Loss=1.040
[Epoch 3][Batch 1199], Speed: 27.792 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.931,RCNNL1Loss=1.040
[Epoch 3][Batch 1299], Speed: 28.001 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.931,RCNNL1Loss=1.039
[Epoch 3][Batch 1399], Speed: 27.718 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.328,RCNNAcc=0.931,RCNNL1Loss=1.038
[Epoch 3][Batch 1499], Speed: 27.967 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.931,RCNNL1Loss=1.037
[Epoch 3][Batch 1599], Speed: 27.973 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.931,RCNNL1Loss=1.036
[Epoch 3][Batch 1699], Speed: 27.872 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.931,RCNNL1Loss=1.036
[Epoch 3][Batch 1799], Speed: 27.784 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.931,RCNNL1Loss=1.035
[Epoch 3][Batch 1899], Speed: 27.855 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.931,RCNNL1Loss=1.034
[Epoch 3][Batch 1999], Speed: 27.920 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.327,RCNNAcc=0.932,RCNNL1Loss=1.033
[Epoch 3][Batch 2099], Speed: 27.801 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.032
[Epoch 3][Batch 2199], Speed: 27.698 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.031
[Epoch 3][Batch 2299], Speed: 27.705 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.031
[Epoch 3][Batch 2399], Speed: 27.957 samples/sec, RPN_Conf=0.038,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.030
[Epoch 3][Batch 2499], Speed: 28.016 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.029
[Epoch 3][Batch 2599], Speed: 27.946 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.326,RCNNAcc=0.932,RCNNL1Loss=1.028
[Epoch 3][Batch 2699], Speed: 27.694 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.028
[Epoch 3][Batch 2799], Speed: 27.810 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.027
[Epoch 3][Batch 2899], Speed: 28.050 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.184,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.026
[Epoch 3][Batch 2999], Speed: 27.786 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.025
[Epoch 3][Batch 3099], Speed: 28.049 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.025
[Epoch 3][Batch 3199], Speed: 27.891 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.325,RCNNAcc=0.932,RCNNL1Loss=1.024
[Epoch 3][Batch 3299], Speed: 27.949 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.023
[Epoch 3][Batch 3399], Speed: 27.786 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.242,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.023
[Epoch 3][Batch 3499], Speed: 28.027 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.185,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.022
[Epoch 3][Batch 3599], Speed: 28.049 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.021
[Epoch 3][Batch 3699], Speed: 27.699 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.020
[Epoch 3][Batch 3799], Speed: 27.820 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.324,RCNNAcc=0.932,RCNNL1Loss=1.020
[Epoch 3][Batch 3899], Speed: 27.975 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.019
[Epoch 3][Batch 3999], Speed: 27.916 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.018
[Epoch 3][Batch 4099], Speed: 27.873 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.018
[Epoch 3][Batch 4199], Speed: 27.786 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.017
[Epoch 3][Batch 4299], Speed: 27.900 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.016
[Epoch 3][Batch 4399], Speed: 27.884 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.980,RPNL1Loss=0.323,RCNNAcc=0.932,RCNNL1Loss=1.015
[Epoch 3][Batch 4499], Speed: 27.962 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.015
[Epoch 3][Batch 4599], Speed: 27.912 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.014
[Epoch 3][Batch 4699], Speed: 28.070 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.013
[Epoch 3][Batch 4799], Speed: 27.808 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.013
[Epoch 3][Batch 4899], Speed: 27.930 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.012
[Epoch 3][Batch 4999], Speed: 27.849 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.011
[Epoch 3][Batch 5099], Speed: 27.995 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.322,RCNNAcc=0.932,RCNNL1Loss=1.011
[Epoch 3][Batch 5199], Speed: 27.598 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.010
[Epoch 3][Batch 5299], Speed: 27.835 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.009
[Epoch 3][Batch 5399], Speed: 28.048 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.009
[Epoch 3][Batch 5499], Speed: 27.931 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.008
[Epoch 3][Batch 5599], Speed: 27.909 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.007
[Epoch 3][Batch 5699], Speed: 28.016 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.007
[Epoch 3][Batch 5799], Speed: 27.870 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.321,RCNNAcc=0.932,RCNNL1Loss=1.006
[Epoch 3][Batch 5899], Speed: 28.049 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.006
[Epoch 3][Batch 5999], Speed: 27.834 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.005
[Epoch 3][Batch 6099], Speed: 27.932 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.004
[Epoch 3][Batch 6199], Speed: 27.933 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.186,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.004
[Epoch 3][Batch 6299], Speed: 27.855 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.003
[Epoch 3][Batch 6399], Speed: 27.735 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.003
[Epoch 3][Batch 6499], Speed: 27.929 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.320,RCNNAcc=0.932,RCNNL1Loss=1.002
[Epoch 3][Batch 6599], Speed: 27.872 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=1.001
[Epoch 3][Batch 6699], Speed: 28.018 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=1.001
[Epoch 3][Batch 6799], Speed: 27.781 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=1.000
[Epoch 3][Batch 6899], Speed: 27.929 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=1.000
[Epoch 3][Batch 6999], Speed: 27.825 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=0.999
[Epoch 3][Batch 7099], Speed: 27.925 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=0.998
[Epoch 3][Batch 7199], Speed: 27.675 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.319,RCNNAcc=0.932,RCNNL1Loss=0.998
[Epoch 3][Batch 7299], Speed: 27.849 samples/sec, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.997
[Epoch 3] Training cost: 4212.161, RPN_Conf=0.039,RPN_SmoothL1=0.051,RCNN_CrossEntropy=0.187,RCNN_SmoothL1=0.243
[Epoch 3] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.290
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.495
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.302
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.170
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.326
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.352
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.261
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.441
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.473
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.306
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.516
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.559
person=47.0
bicycle=19.5
car=36.4
motorcycle=34.0
airplane=43.8
bus=45.8
train=44.4
truck=22.1
boat=17.8
traffic light=21.4
fire hydrant=49.8
stop sign=60.2
parking meter=34.1
bench=15.6
bird=25.9
cat=47.0
dog=44.8
horse=45.4
sheep=32.3
cow=36.8
elephant=51.0
bear=48.9
zebra=57.5
giraffe=58.1
backpack=7.5
umbrella=27.0
handbag=5.3
tie=23.1
suitcase=19.5
frisbee=51.3
skis=10.9
snowboard=20.7
sports ball=36.5
kite=28.9
baseball bat=22.4
baseball glove=29.7
skateboard=38.5
surfboard=23.7
tennis racket=35.4
bottle=33.3
wine glass=28.8
cup=33.6
fork=20.4
knife=8.7
spoon=7.4
bowl=30.1
banana=12.8
apple=12.9
sandwich=22.9
orange=24.8
broccoli=16.7
carrot=12.7
hot dog=15.8
pizza=35.9
donut=29.5
cake=21.3
chair=17.7
couch=25.0
potted plant=19.9
bed=27.0
dining table=18.0
toilet=41.7
tv=35.5
laptop=40.2
mouse=51.1
remote=17.2
keyboard=35.0
cell phone=24.1
microwave=44.4
oven=21.0
toaster=14.7
sink=19.6
refrigerator=35.5
book=10.4
clock=43.5
vase=30.2
scissors=15.3
teddy bear=30.9
hair drier=0.0
toothbrush=12.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=29.0
[Epoch 3] mAP 29.0 higher than current best [28.2] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 3] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0003_29.0000.params
[Epoch 4][Batch 99], Speed: 25.595 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.996
[Epoch 4][Batch 199], Speed: 27.819 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.240,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.996
[Epoch 4][Batch 299], Speed: 27.785 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.240,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.995
[Epoch 4][Batch 399], Speed: 27.948 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.994
[Epoch 4][Batch 499], Speed: 27.477 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.318,RCNNAcc=0.933,RCNNL1Loss=0.994
[Epoch 4][Batch 599], Speed: 27.807 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.240,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.993
[Epoch 4][Batch 699], Speed: 27.705 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.992
[Epoch 4][Batch 799], Speed: 27.977 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.992
[Epoch 4][Batch 899], Speed: 27.811 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.991
[Epoch 4][Batch 999], Speed: 27.923 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.991
[Epoch 4][Batch 1099], Speed: 27.922 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.990
[Epoch 4][Batch 1199], Speed: 28.046 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.317,RCNNAcc=0.933,RCNNL1Loss=0.989
[Epoch 4][Batch 1299], Speed: 27.882 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.989
[Epoch 4][Batch 1399], Speed: 27.859 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.988
[Epoch 4][Batch 1499], Speed: 27.752 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.988
[Epoch 4][Batch 1599], Speed: 27.802 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.987
[Epoch 4][Batch 1699], Speed: 27.733 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.240,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.986
[Epoch 4][Batch 1799], Speed: 27.764 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.986
[Epoch 4][Batch 1899], Speed: 27.698 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.316,RCNNAcc=0.933,RCNNL1Loss=0.985
[Epoch 4][Batch 1999], Speed: 27.992 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.985
[Epoch 4][Batch 2099], Speed: 27.634 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.984
[Epoch 4][Batch 2199], Speed: 27.869 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.984
[Epoch 4][Batch 2299], Speed: 27.896 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.983
[Epoch 4][Batch 2399], Speed: 27.802 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.982
[Epoch 4][Batch 2499], Speed: 27.954 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.982
[Epoch 4][Batch 2599], Speed: 27.868 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.981
[Epoch 4][Batch 2699], Speed: 27.724 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.981,RPNL1Loss=0.315,RCNNAcc=0.933,RCNNL1Loss=0.981
[Epoch 4][Batch 2799], Speed: 27.951 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.980
[Epoch 4][Batch 2899], Speed: 27.869 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.980
[Epoch 4][Batch 2999], Speed: 28.018 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.979
[Epoch 4][Batch 3099], Speed: 27.839 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.979
[Epoch 4][Batch 3199], Speed: 27.857 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.978
[Epoch 4][Batch 3299], Speed: 27.825 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.978
[Epoch 4][Batch 3399], Speed: 28.062 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.981,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.977
[Epoch 4][Batch 3499], Speed: 27.872 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.314,RCNNAcc=0.933,RCNNL1Loss=0.977
[Epoch 4][Batch 3599], Speed: 28.060 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.976
[Epoch 4][Batch 3699], Speed: 27.727 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.975
[Epoch 4][Batch 3799], Speed: 27.963 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.975
[Epoch 4][Batch 3899], Speed: 27.793 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.974
[Epoch 4][Batch 3999], Speed: 27.756 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.974
[Epoch 4][Batch 4099], Speed: 27.781 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.973
[Epoch 4][Batch 4199], Speed: 27.790 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.973
[Epoch 4][Batch 4299], Speed: 27.658 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.313,RCNNAcc=0.933,RCNNL1Loss=0.972
[Epoch 4][Batch 4399], Speed: 27.675 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.972
[Epoch 4][Batch 4499], Speed: 27.707 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.971
[Epoch 4][Batch 4599], Speed: 26.175 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.971
[Epoch 4][Batch 4699], Speed: 27.604 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.970
[Epoch 4][Batch 4799], Speed: 27.670 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.970
[Epoch 4][Batch 4899], Speed: 27.749 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.969
[Epoch 4][Batch 4999], Speed: 27.407 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.969
[Epoch 4][Batch 5099], Speed: 27.699 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.968
[Epoch 4][Batch 5199], Speed: 27.537 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.312,RCNNAcc=0.933,RCNNL1Loss=0.968
[Epoch 4][Batch 5299], Speed: 27.589 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.967
[Epoch 4][Batch 5399], Speed: 27.644 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.967
[Epoch 4][Batch 5499], Speed: 27.492 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.966
[Epoch 4][Batch 5599], Speed: 27.659 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.966
[Epoch 4][Batch 5699], Speed: 27.454 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.966
[Epoch 4][Batch 5799], Speed: 27.637 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.965
[Epoch 4][Batch 5899], Speed: 27.710 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.965
[Epoch 4][Batch 5999], Speed: 27.743 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.964
[Epoch 4][Batch 6099], Speed: 27.658 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.311,RCNNAcc=0.933,RCNNL1Loss=0.964
[Epoch 4][Batch 6199], Speed: 27.805 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.963
[Epoch 4][Batch 6299], Speed: 27.697 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.963
[Epoch 4][Batch 6399], Speed: 27.712 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.962
[Epoch 4][Batch 6499], Speed: 27.640 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.962
[Epoch 4][Batch 6599], Speed: 27.642 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.961
[Epoch 4][Batch 6699], Speed: 27.676 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.961
[Epoch 4][Batch 6799], Speed: 27.654 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.961
[Epoch 4][Batch 6899], Speed: 27.650 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.960
[Epoch 4][Batch 6999], Speed: 27.679 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.240,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.960
[Epoch 4][Batch 7099], Speed: 27.918 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.310,RCNNAcc=0.934,RCNNL1Loss=0.959
[Epoch 4][Batch 7199], Speed: 27.506 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.959
[Epoch 4][Batch 7299], Speed: 27.731 samples/sec, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.958
[Epoch 4] Training cost: 4232.703, RPN_Conf=0.037,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.183,RCNN_SmoothL1=0.240
[Epoch 4] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.307
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.516
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.320
 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 ] = 0.339
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.378
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.273
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.453
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.487
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.330
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.522
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.579
person=47.7
bicycle=21.4
car=37.9
motorcycle=32.8
airplane=48.2
bus=54.3
train=50.8
truck=20.6
boat=16.5
traffic light=21.7
fire hydrant=56.3
stop sign=54.8
parking meter=31.2
bench=16.7
bird=22.6
cat=52.7
dog=43.6
horse=43.3
sheep=40.3
cow=42.8
elephant=52.0
bear=53.9
zebra=56.7
giraffe=55.0
backpack=6.9
umbrella=28.0
handbag=8.2
tie=24.0
suitcase=24.4
frisbee=55.5
skis=16.0
snowboard=26.2
sports ball=37.1
kite=30.7
baseball bat=21.3
baseball glove=29.9
skateboard=39.3
surfboard=25.8
tennis racket=35.4
bottle=31.4
wine glass=30.1
cup=35.0
fork=20.6
knife=7.4
spoon=9.2
bowl=32.6
banana=11.7
apple=14.3
sandwich=22.6
orange=23.5
broccoli=17.7
carrot=15.8
hot dog=16.8
pizza=37.9
donut=36.1
cake=25.0
chair=19.7
couch=28.2
potted plant=18.1
bed=27.5
dining table=18.3
toilet=47.8
tv=45.9
laptop=45.0
mouse=50.2
remote=21.8
keyboard=39.5
cell phone=23.3
microwave=48.5
oven=25.7
toaster=16.0
sink=28.8
refrigerator=42.3
book=9.3
clock=45.1
vase=29.9
scissors=17.7
teddy bear=31.4
hair drier=0.0
toothbrush=8.8
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=30.7
[Epoch 4] mAP 30.7 higher than current best [29.0] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 4] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0004_30.7000.params
[Epoch 5][Batch 99], Speed: 25.674 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.958
[Epoch 5][Batch 199], Speed: 27.787 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.235,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.957
[Epoch 5][Batch 299], Speed: 27.889 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.957
[Epoch 5][Batch 399], Speed: 27.872 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.956
[Epoch 5][Batch 499], Speed: 27.656 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.239,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.956
[Epoch 5][Batch 599], Speed: 27.690 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.956
[Epoch 5][Batch 699], Speed: 27.970 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.309,RCNNAcc=0.934,RCNNL1Loss=0.955
[Epoch 5][Batch 799], Speed: 27.832 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.955
[Epoch 5][Batch 899], Speed: 27.807 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.954
[Epoch 5][Batch 999], Speed: 27.774 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.954
[Epoch 5][Batch 1099], Speed: 27.735 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.953
[Epoch 5][Batch 1199], Speed: 27.791 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.953
[Epoch 5][Batch 1299], Speed: 27.939 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.952
[Epoch 5][Batch 1399], Speed: 27.778 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.952
[Epoch 5][Batch 1499], Speed: 27.954 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.951
[Epoch 5][Batch 1599], Speed: 27.919 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.308,RCNNAcc=0.934,RCNNL1Loss=0.951
[Epoch 5][Batch 1699], Speed: 27.924 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.951
[Epoch 5][Batch 1799], Speed: 28.048 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.950
[Epoch 5][Batch 1899], Speed: 28.003 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.950
[Epoch 5][Batch 1999], Speed: 27.906 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.949
[Epoch 5][Batch 2099], Speed: 27.943 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.949
[Epoch 5][Batch 2199], Speed: 27.872 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.180,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.948
[Epoch 5][Batch 2299], Speed: 27.820 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.948
[Epoch 5][Batch 2399], Speed: 27.685 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.948
[Epoch 5][Batch 2499], Speed: 27.843 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.947
[Epoch 5][Batch 2599], Speed: 27.923 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.307,RCNNAcc=0.934,RCNNL1Loss=0.947
[Epoch 5][Batch 2699], Speed: 27.948 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.946
[Epoch 5][Batch 2799], Speed: 27.550 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.946
[Epoch 5][Batch 2899], Speed: 27.828 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.945
[Epoch 5][Batch 2999], Speed: 27.813 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.945
[Epoch 5][Batch 3099], Speed: 27.866 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.945
[Epoch 5][Batch 3199], Speed: 27.845 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.944
[Epoch 5][Batch 3299], Speed: 27.743 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.944
[Epoch 5][Batch 3399], Speed: 27.933 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.943
[Epoch 5][Batch 3499], Speed: 27.565 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.943
[Epoch 5][Batch 3599], Speed: 27.754 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.306,RCNNAcc=0.934,RCNNL1Loss=0.942
[Epoch 5][Batch 3699], Speed: 27.897 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.942
[Epoch 5][Batch 3799], Speed: 27.784 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.238,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.942
[Epoch 5][Batch 3899], Speed: 28.027 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.941
[Epoch 5][Batch 3999], Speed: 27.825 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.941
[Epoch 5][Batch 4099], Speed: 27.772 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.940
[Epoch 5][Batch 4199], Speed: 27.704 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.940
[Epoch 5][Batch 4299], Speed: 27.903 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.940
[Epoch 5][Batch 4399], Speed: 27.764 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.939
[Epoch 5][Batch 4499], Speed: 28.088 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.939
[Epoch 5][Batch 4599], Speed: 27.756 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.938
[Epoch 5][Batch 4699], Speed: 27.910 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.938
[Epoch 5][Batch 4799], Speed: 27.858 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.305,RCNNAcc=0.934,RCNNL1Loss=0.938
[Epoch 5][Batch 4899], Speed: 27.790 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.937
[Epoch 5][Batch 4999], Speed: 27.916 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.982,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.937
[Epoch 5][Batch 5099], Speed: 27.841 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.937
[Epoch 5][Batch 5199], Speed: 28.037 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.936
[Epoch 5][Batch 5299], Speed: 27.966 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.936
[Epoch 5][Batch 5399], Speed: 28.049 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.935
[Epoch 5][Batch 5499], Speed: 28.008 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.935
[Epoch 5][Batch 5599], Speed: 27.680 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.935
[Epoch 5][Batch 5699], Speed: 27.807 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.934
[Epoch 5][Batch 5799], Speed: 27.994 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.934
[Epoch 5][Batch 5899], Speed: 27.795 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.304,RCNNAcc=0.934,RCNNL1Loss=0.934
[Epoch 5][Batch 5999], Speed: 27.936 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.933
[Epoch 5][Batch 6099], Speed: 27.830 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.933
[Epoch 5][Batch 6199], Speed: 28.076 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.932
[Epoch 5][Batch 6299], Speed: 27.871 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.932
[Epoch 5][Batch 6399], Speed: 27.859 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.932
[Epoch 5][Batch 6499], Speed: 27.745 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.931
[Epoch 5][Batch 6599], Speed: 27.826 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.931
[Epoch 5][Batch 6699], Speed: 27.754 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.931
[Epoch 5][Batch 6799], Speed: 27.964 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.930
[Epoch 5][Batch 6899], Speed: 27.773 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.930
[Epoch 5][Batch 6999], Speed: 27.938 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.930
[Epoch 5][Batch 7099], Speed: 27.634 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.929
[Epoch 5][Batch 7199], Speed: 27.857 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.303,RCNNAcc=0.934,RCNNL1Loss=0.929
[Epoch 5][Batch 7299], Speed: 27.789 samples/sec, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.929
[Epoch 5] Training cost: 4215.966, RPN_Conf=0.036,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.237
[Epoch 5] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.335
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.547
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.360
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.212
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.368
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.415
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.287
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.470
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.500
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.332
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.537
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.606
person=49.2
bicycle=23.6
car=36.9
motorcycle=35.3
airplane=51.0
bus=56.6
train=49.1
truck=24.8
boat=19.0
traffic light=24.6
fire hydrant=60.5
stop sign=57.8
parking meter=38.9
bench=19.8
bird=29.1
cat=54.2
dog=50.2
horse=46.7
sheep=40.3
cow=44.9
elephant=55.1
bear=61.0
zebra=58.3
giraffe=57.7
backpack=8.8
umbrella=30.5
handbag=10.1
tie=26.7
suitcase=28.3
frisbee=59.9
skis=15.3
snowboard=23.1
sports ball=38.9
kite=36.9
baseball bat=24.5
baseball glove=30.5
skateboard=42.1
surfboard=28.9
tennis racket=38.0
bottle=35.7
wine glass=30.9
cup=35.6
fork=25.0
knife=12.3
spoon=10.8
bowl=32.3
banana=15.3
apple=14.3
sandwich=23.1
orange=22.7
broccoli=16.8
carrot=17.0
hot dog=25.7
pizza=47.3
donut=39.1
cake=25.1
chair=20.6
couch=31.0
potted plant=21.6
bed=31.7
dining table=21.9
toilet=47.2
tv=46.7
laptop=51.5
mouse=56.1
remote=25.8
keyboard=42.0
cell phone=28.6
microwave=47.6
oven=27.8
toaster=26.6
sink=31.4
refrigerator=44.3
book=11.9
clock=42.3
vase=31.7
scissors=19.0
teddy bear=35.8
hair drier=0.0
toothbrush=16.4
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.5
[Epoch 5] mAP 33.5 higher than current best [30.7] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 5] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0005_33.5000.params
[Epoch 6][Batch 99], Speed: 25.309 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.241,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.928
[Epoch 6][Batch 199], Speed: 27.633 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.240,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.928
[Epoch 6][Batch 299], Speed: 27.802 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.181,RCNN_SmoothL1=0.241,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.927
[Epoch 6][Batch 399], Speed: 27.739 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.239,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.927
[Epoch 6][Batch 499], Speed: 27.864 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.240,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.927
[Epoch 6][Batch 599], Speed: 27.645 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.240,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.926
[Epoch 6][Batch 699], Speed: 27.871 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.241,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.926
[Epoch 6][Batch 799], Speed: 27.688 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.239,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.925
[Epoch 6][Batch 899], Speed: 27.672 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.239,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.925
[Epoch 6][Batch 999], Speed: 27.746 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.302,RCNNAcc=0.934,RCNNL1Loss=0.925
[Epoch 6][Batch 1099], Speed: 27.919 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.924
[Epoch 6][Batch 1199], Speed: 27.843 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.924
[Epoch 6][Batch 1299], Speed: 27.696 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.924
[Epoch 6][Batch 1399], Speed: 27.937 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.923
[Epoch 6][Batch 1499], Speed: 27.736 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.923
[Epoch 6][Batch 1599], Speed: 27.808 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.923
[Epoch 6][Batch 1699], Speed: 27.845 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.922
[Epoch 6][Batch 1799], Speed: 27.896 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.922
[Epoch 6][Batch 1899], Speed: 27.774 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.921
[Epoch 6][Batch 1999], Speed: 27.824 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.921
[Epoch 6][Batch 2099], Speed: 28.025 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.301,RCNNAcc=0.935,RCNNL1Loss=0.921
[Epoch 6][Batch 2199], Speed: 27.797 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.920
[Epoch 6][Batch 2299], Speed: 27.899 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.920
[Epoch 6][Batch 2399], Speed: 27.893 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.920
[Epoch 6][Batch 2499], Speed: 27.821 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.919
[Epoch 6][Batch 2599], Speed: 27.800 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.919
[Epoch 6][Batch 2699], Speed: 27.600 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.919
[Epoch 6][Batch 2799], Speed: 27.750 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.918
[Epoch 6][Batch 2899], Speed: 27.892 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.918
[Epoch 6][Batch 2999], Speed: 27.877 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.918
[Epoch 6][Batch 3099], Speed: 27.910 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.917
[Epoch 6][Batch 3199], Speed: 27.726 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.917
[Epoch 6][Batch 3299], Speed: 27.769 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.917
[Epoch 6][Batch 3399], Speed: 27.977 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.300,RCNNAcc=0.935,RCNNL1Loss=0.916
[Epoch 6][Batch 3499], Speed: 27.768 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.916
[Epoch 6][Batch 3599], Speed: 27.900 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.916
[Epoch 6][Batch 3699], Speed: 27.849 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.915
[Epoch 6][Batch 3799], Speed: 27.859 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.915
[Epoch 6][Batch 3899], Speed: 27.757 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.915
[Epoch 6][Batch 3999], Speed: 27.924 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.914
[Epoch 6][Batch 4099], Speed: 27.905 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.914
[Epoch 6][Batch 4199], Speed: 27.836 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.914
[Epoch 6][Batch 4299], Speed: 27.809 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.913
[Epoch 6][Batch 4399], Speed: 28.045 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.913
[Epoch 6][Batch 4499], Speed: 27.764 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.913
[Epoch 6][Batch 4599], Speed: 27.859 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.913
[Epoch 6][Batch 4699], Speed: 27.812 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.299,RCNNAcc=0.935,RCNNL1Loss=0.912
[Epoch 6][Batch 4799], Speed: 27.780 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.912
[Epoch 6][Batch 4899], Speed: 27.828 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.912
[Epoch 6][Batch 4999], Speed: 27.832 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.911
[Epoch 6][Batch 5099], Speed: 27.703 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.911
[Epoch 6][Batch 5199], Speed: 27.959 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.911
[Epoch 6][Batch 5299], Speed: 27.728 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.910
[Epoch 6][Batch 5399], Speed: 27.738 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.910
[Epoch 6][Batch 5499], Speed: 27.601 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.910
[Epoch 6][Batch 5599], Speed: 27.644 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.909
[Epoch 6][Batch 5699], Speed: 27.516 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.909
[Epoch 6][Batch 5799], Speed: 27.840 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.909
[Epoch 6][Batch 5899], Speed: 27.497 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.909
[Epoch 6][Batch 5999], Speed: 27.829 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.908
[Epoch 6][Batch 6099], Speed: 27.527 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.908
[Epoch 6][Batch 6199], Speed: 27.753 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.298,RCNNAcc=0.935,RCNNL1Loss=0.908
[Epoch 6][Batch 6299], Speed: 27.648 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.907
[Epoch 6][Batch 6399], Speed: 27.592 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.907
[Epoch 6][Batch 6499], Speed: 27.792 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.907
[Epoch 6][Batch 6599], Speed: 28.026 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.907
[Epoch 6][Batch 6699], Speed: 27.598 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.906
[Epoch 6][Batch 6799], Speed: 27.821 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.906
[Epoch 6][Batch 6899], Speed: 27.868 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.906
[Epoch 6][Batch 6999], Speed: 27.725 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.905
[Epoch 6][Batch 7099], Speed: 27.771 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.905
[Epoch 6][Batch 7199], Speed: 27.862 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.905
[Epoch 6][Batch 7299], Speed: 27.685 samples/sec, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.905
[Epoch 6] Training cost: 4226.026, RPN_Conf=0.035,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.234
[Epoch 6] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.323
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.525
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.345
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.188
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.356
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.404
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.281
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.463
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.497
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.325
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.533
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.594
person=49.1
bicycle=26.1
car=38.3
motorcycle=34.5
airplane=54.2
bus=53.9
train=51.4
truck=25.8
boat=18.3
traffic light=22.5
fire hydrant=56.1
stop sign=59.0
parking meter=37.8
bench=19.1
bird=26.8
cat=53.0
dog=46.5
horse=47.8
sheep=41.3
cow=46.7
elephant=54.8
bear=48.3
zebra=58.2
giraffe=59.3
backpack=10.0
umbrella=31.6
handbag=9.3
tie=24.0
suitcase=26.2
frisbee=56.7
skis=16.5
snowboard=22.7
sports ball=35.2
kite=32.7
baseball bat=23.9
baseball glove=34.0
skateboard=42.0
surfboard=27.6
tennis racket=39.4
bottle=33.5
wine glass=31.5
cup=34.1
fork=24.7
knife=11.4
spoon=9.6
bowl=33.8
banana=16.8
apple=16.5
sandwich=17.7
orange=26.7
broccoli=18.6
carrot=16.1
hot dog=18.9
pizza=44.5
donut=40.4
cake=21.7
chair=19.1
couch=30.3
potted plant=22.1
bed=30.0
dining table=19.6
toilet=49.7
tv=47.1
laptop=48.6
mouse=50.0
remote=25.3
keyboard=41.2
cell phone=27.7
microwave=46.2
oven=28.7
toaster=9.0
sink=30.5
refrigerator=40.8
book=10.8
clock=44.2
vase=33.7
scissors=17.4
teddy bear=29.7
hair drier=0.0
toothbrush=8.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=32.3
[Epoch 6] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0006_32.3000.params
[Epoch 7][Batch 99], Speed: 25.560 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.050,RCNN_CrossEntropy=0.182,RCNN_SmoothL1=0.239,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.904
[Epoch 7][Batch 199], Speed: 28.073 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.904
[Epoch 7][Batch 299], Speed: 27.651 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.297,RCNNAcc=0.935,RCNNL1Loss=0.904
[Epoch 7][Batch 399], Speed: 28.114 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.903
[Epoch 7][Batch 499], Speed: 27.846 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.903
[Epoch 7][Batch 599], Speed: 27.667 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.903
[Epoch 7][Batch 699], Speed: 27.924 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.902
[Epoch 7][Batch 799], Speed: 27.677 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.237,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.902
[Epoch 7][Batch 899], Speed: 27.623 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.902
[Epoch 7][Batch 999], Speed: 27.995 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.901
[Epoch 7][Batch 1099], Speed: 27.785 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.236,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.901
[Epoch 7][Batch 1199], Speed: 27.912 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.901
[Epoch 7][Batch 1299], Speed: 27.992 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.900
[Epoch 7][Batch 1399], Speed: 27.903 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.235,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.900
[Epoch 7][Batch 1499], Speed: 27.866 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.900
[Epoch 7][Batch 1599], Speed: 27.920 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.900
[Epoch 7][Batch 1699], Speed: 27.866 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.296,RCNNAcc=0.935,RCNNL1Loss=0.899
[Epoch 7][Batch 1799], Speed: 27.667 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.234,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.899
[Epoch 7][Batch 1899], Speed: 27.856 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.899
[Epoch 7][Batch 1999], Speed: 27.975 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.898
[Epoch 7][Batch 2099], Speed: 27.898 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.898
[Epoch 7][Batch 2199], Speed: 27.762 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.898
[Epoch 7][Batch 2299], Speed: 27.824 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.897
[Epoch 7][Batch 2399], Speed: 27.867 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.897
[Epoch 7][Batch 2499], Speed: 27.698 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.897
[Epoch 7][Batch 2599], Speed: 27.883 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.897
[Epoch 7][Batch 2699], Speed: 28.005 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.896
[Epoch 7][Batch 2799], Speed: 27.926 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.896
[Epoch 7][Batch 2899], Speed: 27.770 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.896
[Epoch 7][Batch 2999], Speed: 27.984 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.895
[Epoch 7][Batch 3099], Speed: 27.851 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.295,RCNNAcc=0.935,RCNNL1Loss=0.895
[Epoch 7][Batch 3199], Speed: 27.966 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.895
[Epoch 7][Batch 3299], Speed: 27.803 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.983,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.895
[Epoch 7][Batch 3399], Speed: 27.904 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.894
[Epoch 7][Batch 3499], Speed: 27.902 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.894
[Epoch 7][Batch 3599], Speed: 27.983 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.894
[Epoch 7][Batch 3699], Speed: 27.990 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.894
[Epoch 7][Batch 3799], Speed: 27.957 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.893
[Epoch 7][Batch 3899], Speed: 27.697 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.893
[Epoch 7][Batch 3999], Speed: 27.867 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.893
[Epoch 7][Batch 4099], Speed: 27.988 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.892
[Epoch 7][Batch 4199], Speed: 27.766 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.892
[Epoch 7][Batch 4299], Speed: 27.933 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.892
[Epoch 7][Batch 4399], Speed: 27.971 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.892
[Epoch 7][Batch 4499], Speed: 27.885 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.891
[Epoch 7][Batch 4599], Speed: 27.843 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.891
[Epoch 7][Batch 4699], Speed: 27.866 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.294,RCNNAcc=0.935,RCNNL1Loss=0.891
[Epoch 7][Batch 4799], Speed: 27.769 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.891
[Epoch 7][Batch 4899], Speed: 27.841 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.890
[Epoch 7][Batch 4999], Speed: 27.886 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.890
[Epoch 7][Batch 5099], Speed: 27.775 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.890
[Epoch 7][Batch 5199], Speed: 27.644 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.890
[Epoch 7][Batch 5299], Speed: 27.879 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.889
[Epoch 7][Batch 5399], Speed: 27.699 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.889
[Epoch 7][Batch 5499], Speed: 27.782 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.889
[Epoch 7][Batch 5599], Speed: 27.927 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.889
[Epoch 7][Batch 5699], Speed: 27.853 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.888
[Epoch 7][Batch 5799], Speed: 28.056 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.888
[Epoch 7][Batch 5899], Speed: 27.831 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.888
[Epoch 7][Batch 5999], Speed: 27.809 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.888
[Epoch 7][Batch 6099], Speed: 27.869 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.887
[Epoch 7][Batch 6199], Speed: 27.709 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.887
[Epoch 7][Batch 6299], Speed: 27.777 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.887
[Epoch 7][Batch 6399], Speed: 27.990 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.887
[Epoch 7][Batch 6499], Speed: 26.453 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.293,RCNNAcc=0.935,RCNNL1Loss=0.887
[Epoch 7][Batch 6599], Speed: 27.750 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.935,RCNNL1Loss=0.886
[Epoch 7][Batch 6699], Speed: 27.827 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.935,RCNNL1Loss=0.886
[Epoch 7][Batch 6799], Speed: 27.935 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.935,RCNNL1Loss=0.886
[Epoch 7][Batch 6899], Speed: 27.654 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.886
[Epoch 7][Batch 6999], Speed: 27.813 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.885
[Epoch 7][Batch 7099], Speed: 27.879 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.178,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.885
[Epoch 7][Batch 7199], Speed: 27.864 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.885
[Epoch 7][Batch 7299], Speed: 27.861 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.885
[Epoch 7] Training cost: 4218.553, RPN_Conf=0.034,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.179,RCNN_SmoothL1=0.233
[Epoch 7] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.336
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.546
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.203
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.381
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.431
 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 ] = 0.474
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.504
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.329
 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 ] = 0.619
person=48.7
bicycle=26.1
car=37.8
motorcycle=38.3
airplane=58.7
bus=54.4
train=51.6
truck=29.0
boat=18.4
traffic light=23.2
fire hydrant=60.6
stop sign=58.1
parking meter=39.8
bench=17.6
bird=29.3
cat=54.3
dog=46.2
horse=47.5
sheep=40.8
cow=44.0
elephant=52.3
bear=59.7
zebra=57.0
giraffe=57.0
backpack=11.3
umbrella=33.3
handbag=9.3
tie=28.2
suitcase=26.1
frisbee=56.1
skis=17.4
snowboard=26.7
sports ball=39.4
kite=34.7
baseball bat=22.7
baseball glove=31.9
skateboard=44.6
surfboard=29.4
tennis racket=40.7
bottle=34.4
wine glass=31.8
cup=36.6
fork=22.6
knife=9.1
spoon=11.1
bowl=35.7
banana=19.9
apple=15.1
sandwich=25.1
orange=23.9
broccoli=19.1
carrot=18.4
hot dog=24.8
pizza=40.2
donut=34.1
cake=26.3
chair=22.1
couch=34.5
potted plant=22.7
bed=31.8
dining table=21.4
toilet=50.1
tv=45.4
laptop=50.3
mouse=55.1
remote=24.5
keyboard=43.5
cell phone=31.9
microwave=46.6
oven=24.9
toaster=31.8
sink=28.1
refrigerator=42.4
book=10.2
clock=46.4
vase=32.8
scissors=18.7
teddy bear=32.7
hair drier=0.0
toothbrush=11.2
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.6
[Epoch 7] mAP 33.6 higher than current best [33.5] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 7] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0007_33.6000.params
[Epoch 8][Batch 99], Speed: 25.837 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.177,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.884
[Epoch 8][Batch 199], Speed: 27.929 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.232,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.884
[Epoch 8][Batch 299], Speed: 27.814 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.235,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.884
[Epoch 8][Batch 399], Speed: 27.840 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.883
[Epoch 8][Batch 499], Speed: 27.940 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.883
[Epoch 8][Batch 599], Speed: 27.769 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.233,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.883
[Epoch 8][Batch 699], Speed: 27.887 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.232,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.883
[Epoch 8][Batch 799], Speed: 27.997 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.292,RCNNAcc=0.936,RCNNL1Loss=0.882
[Epoch 8][Batch 899], Speed: 27.971 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.882
[Epoch 8][Batch 999], Speed: 27.879 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.882
[Epoch 8][Batch 1099], Speed: 27.806 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.882
[Epoch 8][Batch 1199], Speed: 27.897 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.881
[Epoch 8][Batch 1299], Speed: 27.948 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.881
[Epoch 8][Batch 1399], Speed: 27.923 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.881
[Epoch 8][Batch 1499], Speed: 27.957 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.881
[Epoch 8][Batch 1599], Speed: 27.970 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.880
[Epoch 8][Batch 1699], Speed: 27.824 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.880
[Epoch 8][Batch 1799], Speed: 27.869 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.880
[Epoch 8][Batch 1899], Speed: 27.776 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.880
[Epoch 8][Batch 1999], Speed: 27.930 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.879
[Epoch 8][Batch 2099], Speed: 27.774 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.879
[Epoch 8][Batch 2199], Speed: 27.834 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.879
[Epoch 8][Batch 2299], Speed: 27.910 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.231,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.879
[Epoch 8][Batch 2399], Speed: 27.764 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.878
[Epoch 8][Batch 2499], Speed: 27.777 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.878
[Epoch 8][Batch 2599], Speed: 27.983 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.878
[Epoch 8][Batch 2699], Speed: 27.836 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.291,RCNNAcc=0.936,RCNNL1Loss=0.878
[Epoch 8][Batch 2799], Speed: 28.074 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.877
[Epoch 8][Batch 2899], Speed: 27.756 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.877
[Epoch 8][Batch 2999], Speed: 27.842 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.877
[Epoch 8][Batch 3099], Speed: 27.784 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.877
[Epoch 8][Batch 3199], Speed: 27.894 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.877
[Epoch 8][Batch 3299], Speed: 27.764 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.876
[Epoch 8][Batch 3399], Speed: 27.785 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.876
[Epoch 8][Batch 3499], Speed: 27.744 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.876
[Epoch 8][Batch 3599], Speed: 27.884 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.876
[Epoch 8][Batch 3699], Speed: 27.815 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.875
[Epoch 8][Batch 3799], Speed: 27.932 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.875
[Epoch 8][Batch 3899], Speed: 26.617 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.875
[Epoch 8][Batch 3999], Speed: 27.713 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.875
[Epoch 8][Batch 4099], Speed: 27.864 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.875
[Epoch 8][Batch 4199], Speed: 27.826 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.874
[Epoch 8][Batch 4299], Speed: 27.964 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.874
[Epoch 8][Batch 4399], Speed: 27.825 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.874
[Epoch 8][Batch 4499], Speed: 27.807 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.290,RCNNAcc=0.936,RCNNL1Loss=0.874
[Epoch 8][Batch 4599], Speed: 27.929 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.873
[Epoch 8][Batch 4699], Speed: 27.979 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.873
[Epoch 8][Batch 4799], Speed: 28.033 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.873
[Epoch 8][Batch 4899], Speed: 27.822 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.873
[Epoch 8][Batch 4999], Speed: 27.790 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.873
[Epoch 8][Batch 5099], Speed: 27.805 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.872
[Epoch 8][Batch 5199], Speed: 27.749 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.872
[Epoch 8][Batch 5299], Speed: 28.052 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.872
[Epoch 8][Batch 5399], Speed: 27.660 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.872
[Epoch 8][Batch 5499], Speed: 27.839 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.871
[Epoch 8][Batch 5599], Speed: 27.881 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.871
[Epoch 8][Batch 5699], Speed: 27.838 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.871
[Epoch 8][Batch 5799], Speed: 27.919 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.871
[Epoch 8][Batch 5899], Speed: 27.777 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.871
[Epoch 8][Batch 5999], Speed: 27.909 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.870
[Epoch 8][Batch 6099], Speed: 28.114 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.870
[Epoch 8][Batch 6199], Speed: 27.548 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.870
[Epoch 8][Batch 6299], Speed: 27.867 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.870
[Epoch 8][Batch 6399], Speed: 27.787 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.870
[Epoch 8][Batch 6499], Speed: 27.898 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.289,RCNNAcc=0.936,RCNNL1Loss=0.869
[Epoch 8][Batch 6599], Speed: 28.033 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.869
[Epoch 8][Batch 6699], Speed: 27.869 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.869
[Epoch 8][Batch 6799], Speed: 27.853 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.869
[Epoch 8][Batch 6899], Speed: 28.149 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.869
[Epoch 8][Batch 6999], Speed: 27.897 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.868
[Epoch 8][Batch 7099], Speed: 27.901 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.868
[Epoch 8][Batch 7199], Speed: 27.965 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.868
[Epoch 8][Batch 7299], Speed: 28.077 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.868
[Epoch 8] Training cost: 4214.889, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.176,RCNN_SmoothL1=0.230
[Epoch 8] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.330
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.533
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.355
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.208
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.367
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.419
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.290
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.474
 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 ] = 0.327
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.548
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.620
person=49.3
bicycle=25.1
car=40.6
motorcycle=35.2
airplane=54.2
bus=53.6
train=51.5
truck=25.2
boat=18.4
traffic light=23.7
fire hydrant=57.8
stop sign=57.1
parking meter=36.4
bench=18.6
bird=29.1
cat=50.0
dog=44.9
horse=46.5
sheep=39.1
cow=44.2
elephant=52.8
bear=54.7
zebra=57.4
giraffe=57.1
backpack=9.9
umbrella=32.0
handbag=10.0
tie=24.2
suitcase=31.3
frisbee=56.2
skis=15.4
snowboard=25.8
sports ball=38.6
kite=35.2
baseball bat=24.4
baseball glove=32.1
skateboard=45.3
surfboard=29.9
tennis racket=39.5
bottle=32.3
wine glass=31.7
cup=36.3
fork=23.7
knife=13.1
spoon=11.2
bowl=33.5
banana=17.7
apple=14.1
sandwich=29.4
orange=22.0
broccoli=17.9
carrot=18.7
hot dog=23.8
pizza=40.2
donut=27.4
cake=28.1
chair=21.4
couch=27.9
potted plant=22.2
bed=35.8
dining table=22.5
toilet=52.8
tv=48.2
laptop=50.0
mouse=54.1
remote=26.2
keyboard=38.0
cell phone=28.2
microwave=50.7
oven=25.6
toaster=11.4
sink=32.7
refrigerator=45.1
book=12.2
clock=43.8
vase=33.0
scissors=15.0
teddy bear=32.4
hair drier=0.0
toothbrush=18.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.0
[Epoch 8] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0008_33.0000.params
[Epoch 9][Batch 99], Speed: 25.880 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.223,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.867
[Epoch 9][Batch 199], Speed: 27.917 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.867
[Epoch 9][Batch 299], Speed: 27.688 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.867
[Epoch 9][Batch 399], Speed: 27.860 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.867
[Epoch 9][Batch 499], Speed: 27.898 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.867
[Epoch 9][Batch 599], Speed: 27.871 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.866
[Epoch 9][Batch 699], Speed: 27.925 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.866
[Epoch 9][Batch 799], Speed: 27.766 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.866
[Epoch 9][Batch 899], Speed: 28.059 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.866
[Epoch 9][Batch 999], Speed: 27.823 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.865
[Epoch 9][Batch 1099], Speed: 27.837 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.865
[Epoch 9][Batch 1199], Speed: 27.756 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.288,RCNNAcc=0.936,RCNNL1Loss=0.865
[Epoch 9][Batch 1299], Speed: 27.946 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.865
[Epoch 9][Batch 1399], Speed: 27.739 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.864
[Epoch 9][Batch 1499], Speed: 28.005 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.864
[Epoch 9][Batch 1599], Speed: 27.881 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.864
[Epoch 9][Batch 1699], Speed: 27.954 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.864
[Epoch 9][Batch 1799], Speed: 27.966 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.864
[Epoch 9][Batch 1899], Speed: 28.045 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.863
[Epoch 9][Batch 1999], Speed: 27.841 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.863
[Epoch 9][Batch 2099], Speed: 28.132 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.863
[Epoch 9][Batch 2199], Speed: 27.885 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.863
[Epoch 9][Batch 2299], Speed: 27.735 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.863
[Epoch 9][Batch 2399], Speed: 27.826 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.862
[Epoch 9][Batch 2499], Speed: 27.796 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.862
[Epoch 9][Batch 2599], Speed: 27.764 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.862
[Epoch 9][Batch 2699], Speed: 27.970 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.862
[Epoch 9][Batch 2799], Speed: 27.838 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.862
[Epoch 9][Batch 2899], Speed: 27.890 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.861
[Epoch 9][Batch 2999], Speed: 27.710 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.861
[Epoch 9][Batch 3099], Speed: 27.903 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.287,RCNNAcc=0.936,RCNNL1Loss=0.861
[Epoch 9][Batch 3199], Speed: 27.905 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.861
[Epoch 9][Batch 3299], Speed: 27.857 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.861
[Epoch 9][Batch 3399], Speed: 27.819 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.860
[Epoch 9][Batch 3499], Speed: 27.930 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.860
[Epoch 9][Batch 3599], Speed: 27.764 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.860
[Epoch 9][Batch 3699], Speed: 27.983 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.860
[Epoch 9][Batch 3799], Speed: 28.021 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.860
[Epoch 9][Batch 3899], Speed: 27.838 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.859
[Epoch 9][Batch 3999], Speed: 28.089 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.859
[Epoch 9][Batch 4099], Speed: 28.252 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.859
[Epoch 9][Batch 4199], Speed: 27.867 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.859
[Epoch 9][Batch 4299], Speed: 28.007 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.859
[Epoch 9][Batch 4399], Speed: 28.209 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4499], Speed: 27.956 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4599], Speed: 27.948 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4699], Speed: 28.133 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4799], Speed: 27.946 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4899], Speed: 27.829 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.858
[Epoch 9][Batch 4999], Speed: 27.947 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.857
[Epoch 9][Batch 5099], Speed: 28.018 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.857
[Epoch 9][Batch 5199], Speed: 27.963 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.857
[Epoch 9][Batch 5299], Speed: 27.949 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.173,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.857
[Epoch 9][Batch 5399], Speed: 27.850 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.286,RCNNAcc=0.936,RCNNL1Loss=0.857
[Epoch 9][Batch 5499], Speed: 27.892 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 5599], Speed: 28.067 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 5699], Speed: 27.912 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 5799], Speed: 27.500 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 5899], Speed: 27.934 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 5999], Speed: 28.017 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.856
[Epoch 9][Batch 6099], Speed: 27.710 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6199], Speed: 27.457 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6299], Speed: 28.011 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6399], Speed: 27.893 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6499], Speed: 27.920 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6599], Speed: 27.930 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.855
[Epoch 9][Batch 6699], Speed: 27.852 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 6799], Speed: 27.570 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 6899], Speed: 27.834 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 6999], Speed: 28.033 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 7099], Speed: 27.707 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.174,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 7199], Speed: 27.795 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.854
[Epoch 9][Batch 7299], Speed: 27.776 samples/sec, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.853
[Epoch 9] Training cost: 4209.723, RPN_Conf=0.034,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.175,RCNN_SmoothL1=0.228
[Epoch 9] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.334
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.539
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.355
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.203
 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 ] = 0.417
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.288
 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 ] = 0.513
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.338
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.556
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.614
person=49.3
bicycle=23.5
car=40.3
motorcycle=37.2
airplane=53.3
bus=56.8
train=51.2
truck=24.2
boat=19.4
traffic light=21.3
fire hydrant=60.7
stop sign=59.1
parking meter=35.9
bench=20.7
bird=28.8
cat=55.5
dog=48.1
horse=47.7
sheep=45.7
cow=40.5
elephant=54.9
bear=60.0
zebra=57.7
giraffe=59.6
backpack=9.5
umbrella=32.0
handbag=11.0
tie=28.1
suitcase=28.6
frisbee=62.7
skis=16.0
snowboard=19.9
sports ball=38.8
kite=35.0
baseball bat=25.9
baseball glove=28.7
skateboard=42.8
surfboard=31.6
tennis racket=38.8
bottle=34.8
wine glass=29.3
cup=36.1
fork=28.9
knife=10.9
spoon=11.6
bowl=34.2
banana=20.2
apple=16.3
sandwich=27.9
orange=21.9
broccoli=19.9
carrot=13.8
hot dog=22.0
pizza=43.2
donut=30.6
cake=27.9
chair=21.8
couch=32.6
potted plant=22.0
bed=31.5
dining table=21.3
toilet=48.6
tv=49.5
laptop=50.5
mouse=56.0
remote=25.9
keyboard=40.1
cell phone=25.3
microwave=44.0
oven=26.2
toaster=23.5
sink=29.9
refrigerator=40.2
book=11.5
clock=44.2
vase=31.4
scissors=14.7
teddy bear=35.1
hair drier=0.0
toothbrush=17.0
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.4
[Epoch 9] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0009_33.4000.params
[Epoch 10][Batch 99], Speed: 25.745 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.217,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.853
[Epoch 10][Batch 199], Speed: 27.561 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.217,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.853
[Epoch 10][Batch 299], Speed: 27.983 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.221,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.853
[Epoch 10][Batch 399], Speed: 28.068 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.223,RPNAcc=0.984,RPNL1Loss=0.285,RCNNAcc=0.936,RCNNL1Loss=0.853
[Epoch 10][Batch 499], Speed: 27.860 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.852
[Epoch 10][Batch 599], Speed: 27.837 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.225,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.852
[Epoch 10][Batch 699], Speed: 27.764 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.852
[Epoch 10][Batch 799], Speed: 27.933 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.852
[Epoch 10][Batch 899], Speed: 27.908 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.852
[Epoch 10][Batch 999], Speed: 27.906 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.851
[Epoch 10][Batch 1099], Speed: 27.759 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.227,RPNAcc=0.984,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.851
[Epoch 10][Batch 1199], Speed: 27.725 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.851
[Epoch 10][Batch 1299], Speed: 27.969 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.851
[Epoch 10][Batch 1399], Speed: 27.707 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.936,RCNNL1Loss=0.851
[Epoch 10][Batch 1499], Speed: 27.945 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 1599], Speed: 27.663 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 1699], Speed: 27.924 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 1799], Speed: 27.851 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 1899], Speed: 27.635 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 1999], Speed: 27.851 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.850
[Epoch 10][Batch 2099], Speed: 27.830 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2199], Speed: 27.830 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2299], Speed: 27.809 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2399], Speed: 27.820 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2499], Speed: 27.878 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2599], Speed: 27.961 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.849
[Epoch 10][Batch 2699], Speed: 27.650 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.284,RCNNAcc=0.937,RCNNL1Loss=0.848
[Epoch 10][Batch 2799], Speed: 27.964 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.848
[Epoch 10][Batch 2899], Speed: 27.679 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.848
[Epoch 10][Batch 2999], Speed: 27.797 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.848
[Epoch 10][Batch 3099], Speed: 27.945 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.848
[Epoch 10][Batch 3199], Speed: 27.898 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3299], Speed: 27.907 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3399], Speed: 27.955 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3499], Speed: 27.893 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3599], Speed: 27.884 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3699], Speed: 27.738 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.847
[Epoch 10][Batch 3799], Speed: 27.849 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 3899], Speed: 27.723 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 3999], Speed: 27.884 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 4099], Speed: 27.882 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 4199], Speed: 28.052 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 4299], Speed: 28.105 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.846
[Epoch 10][Batch 4399], Speed: 27.946 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4499], Speed: 27.867 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4599], Speed: 27.788 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4699], Speed: 27.811 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4799], Speed: 27.912 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4899], Speed: 27.803 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.845
[Epoch 10][Batch 4999], Speed: 27.867 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5099], Speed: 27.857 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5199], Speed: 27.954 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.283,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5299], Speed: 28.175 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5399], Speed: 27.867 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5499], Speed: 27.762 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.844
[Epoch 10][Batch 5599], Speed: 27.939 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 5699], Speed: 27.911 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 5799], Speed: 27.958 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 5899], Speed: 27.948 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 5999], Speed: 27.913 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.171,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 6099], Speed: 27.876 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 6199], Speed: 28.012 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.843
[Epoch 10][Batch 6299], Speed: 27.895 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6399], Speed: 27.919 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6499], Speed: 27.813 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6599], Speed: 28.013 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6699], Speed: 27.901 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6799], Speed: 27.961 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.226,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.842
[Epoch 10][Batch 6899], Speed: 27.869 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 10][Batch 6999], Speed: 27.585 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 10][Batch 7099], Speed: 27.861 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 10][Batch 7199], Speed: 27.734 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 10][Batch 7299], Speed: 27.750 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 10] Training cost: 4213.808, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.172,RCNN_SmoothL1=0.225
[Epoch 10] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.339
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.547
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.363
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.210
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.375
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.417
 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 ] = 0.479
 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 ] = 0.345
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.555
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.615
person=49.3
bicycle=24.8
car=39.7
motorcycle=36.1
airplane=51.3
bus=58.4
train=55.0
truck=28.4
boat=21.6
traffic light=24.4
fire hydrant=58.8
stop sign=61.3
parking meter=39.4
bench=19.4
bird=29.8
cat=54.2
dog=48.7
horse=48.5
sheep=41.5
cow=44.5
elephant=55.2
bear=58.1
zebra=55.8
giraffe=60.3
backpack=10.6
umbrella=31.4
handbag=11.3
tie=28.5
suitcase=28.5
frisbee=60.2
skis=18.2
snowboard=26.7
sports ball=40.3
kite=33.5
baseball bat=25.8
baseball glove=31.2
skateboard=43.6
surfboard=30.6
tennis racket=41.9
bottle=34.2
wine glass=30.4
cup=36.9
fork=27.7
knife=13.3
spoon=10.5
bowl=34.8
banana=19.4
apple=13.3
sandwich=26.4
orange=25.3
broccoli=13.6
carrot=17.1
hot dog=27.2
pizza=40.2
donut=41.0
cake=28.6
chair=20.8
couch=33.6
potted plant=22.9
bed=31.6
dining table=20.5
toilet=52.3
tv=49.4
laptop=51.4
mouse=52.8
remote=25.9
keyboard=39.8
cell phone=30.1
microwave=44.7
oven=27.0
toaster=18.4
sink=29.4
refrigerator=37.5
book=11.1
clock=46.7
vase=31.3
scissors=19.1
teddy bear=35.3
hair drier=0.0
toothbrush=14.0
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.9
[Epoch 10] mAP 33.9 higher than current best [33.6] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 10] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0010_33.9000.params
[Epoch 11][Batch 99], Speed: 25.637 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.841
[Epoch 11][Batch 199], Speed: 27.817 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 299], Speed: 27.602 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 399], Speed: 27.965 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 499], Speed: 27.749 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 599], Speed: 27.653 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.282,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 699], Speed: 27.870 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.840
[Epoch 11][Batch 799], Speed: 27.694 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 899], Speed: 27.972 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 999], Speed: 27.683 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 1099], Speed: 27.923 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 1199], Speed: 27.846 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 1299], Speed: 27.905 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.839
[Epoch 11][Batch 1399], Speed: 27.860 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1499], Speed: 27.877 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1599], Speed: 28.019 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1699], Speed: 27.737 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1799], Speed: 27.928 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1899], Speed: 27.937 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.838
[Epoch 11][Batch 1999], Speed: 27.775 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2099], Speed: 27.785 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2199], Speed: 27.953 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2299], Speed: 27.704 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2399], Speed: 28.037 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2499], Speed: 28.026 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2599], Speed: 27.812 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.837
[Epoch 11][Batch 2699], Speed: 27.864 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 2799], Speed: 27.730 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 2899], Speed: 27.766 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 2999], Speed: 27.952 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 3099], Speed: 28.088 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 3199], Speed: 27.706 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.281,RCNNAcc=0.937,RCNNL1Loss=0.836
[Epoch 11][Batch 3299], Speed: 26.626 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3399], Speed: 28.003 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3499], Speed: 27.748 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3599], Speed: 27.645 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3699], Speed: 27.820 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3799], Speed: 27.968 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3899], Speed: 27.997 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.835
[Epoch 11][Batch 3999], Speed: 27.854 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4099], Speed: 27.845 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4199], Speed: 28.176 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4299], Speed: 27.945 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4399], Speed: 27.924 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4499], Speed: 27.748 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4599], Speed: 27.918 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.834
[Epoch 11][Batch 4699], Speed: 27.897 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 4799], Speed: 27.856 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 4899], Speed: 28.012 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 4999], Speed: 27.947 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 5099], Speed: 28.001 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 5199], Speed: 27.979 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 5299], Speed: 27.717 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.833
[Epoch 11][Batch 5399], Speed: 27.761 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5499], Speed: 28.021 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5599], Speed: 27.916 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5699], Speed: 27.903 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5799], Speed: 28.145 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5899], Speed: 27.894 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 5999], Speed: 27.895 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.832
[Epoch 11][Batch 6099], Speed: 27.704 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.280,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6199], Speed: 27.908 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6299], Speed: 27.807 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6399], Speed: 27.697 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6499], Speed: 27.950 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6599], Speed: 27.918 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6699], Speed: 27.816 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6799], Speed: 28.074 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.831
[Epoch 11][Batch 6899], Speed: 27.879 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 11][Batch 6999], Speed: 28.097 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 11][Batch 7099], Speed: 27.942 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 11][Batch 7199], Speed: 27.875 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 11][Batch 7299], Speed: 28.044 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.223,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 11] Training cost: 4214.336, RPN_Conf=0.033,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.223
[Epoch 11] 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 ] = 0.527
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.353
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.216
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.367
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.399
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.288
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.478
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.509
 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 ] = 0.555
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.610
person=50.4
bicycle=23.8
car=40.2
motorcycle=37.3
airplane=47.7
bus=56.9
train=53.5
truck=25.0
boat=19.9
traffic light=24.5
fire hydrant=59.7
stop sign=58.4
parking meter=38.3
bench=19.5
bird=29.1
cat=52.5
dog=45.1
horse=48.9
sheep=34.6
cow=46.8
elephant=52.9
bear=49.4
zebra=59.8
giraffe=59.6
backpack=10.9
umbrella=29.6
handbag=12.6
tie=25.8
suitcase=24.6
frisbee=58.3
skis=18.9
snowboard=27.0
sports ball=36.8
kite=32.6
baseball bat=24.4
baseball glove=33.1
skateboard=43.3
surfboard=27.5
tennis racket=41.3
bottle=35.3
wine glass=31.0
cup=36.3
fork=24.4
knife=14.4
spoon=13.5
bowl=33.1
banana=16.8
apple=12.6
sandwich=26.2
orange=24.8
broccoli=18.9
carrot=19.4
hot dog=26.6
pizza=45.9
donut=31.1
cake=21.1
chair=22.1
couch=33.6
potted plant=22.0
bed=34.3
dining table=22.8
toilet=47.3
tv=50.7
laptop=50.5
mouse=53.6
remote=25.6
keyboard=39.4
cell phone=26.1
microwave=41.7
oven=27.1
toaster=12.4
sink=24.7
refrigerator=46.0
book=9.8
clock=45.2
vase=30.8
scissors=13.1
teddy bear=29.0
hair drier=0.7
toothbrush=14.7
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=32.9
[Epoch 11] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0011_32.9000.params
[Epoch 12][Batch 99], Speed: 25.750 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.830
[Epoch 12][Batch 199], Speed: 27.710 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 299], Speed: 27.974 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 399], Speed: 28.122 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 499], Speed: 27.878 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 599], Speed: 28.054 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 699], Speed: 27.944 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 799], Speed: 27.875 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.829
[Epoch 12][Batch 899], Speed: 27.663 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 999], Speed: 28.024 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 1099], Speed: 27.838 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 1199], Speed: 27.794 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 1299], Speed: 27.774 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 1399], Speed: 27.889 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.828
[Epoch 12][Batch 1499], Speed: 27.999 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 1599], Speed: 27.863 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 1699], Speed: 27.911 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 1799], Speed: 27.849 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.279,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 1899], Speed: 27.861 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 1999], Speed: 27.820 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 2099], Speed: 27.790 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.827
[Epoch 12][Batch 2199], Speed: 27.760 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2299], Speed: 27.818 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2399], Speed: 27.881 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2499], Speed: 27.783 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2599], Speed: 27.955 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2699], Speed: 28.012 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2799], Speed: 27.853 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.826
[Epoch 12][Batch 2899], Speed: 27.934 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 2999], Speed: 27.950 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3099], Speed: 27.904 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3199], Speed: 27.629 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3299], Speed: 27.733 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3399], Speed: 27.916 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3499], Speed: 27.995 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3599], Speed: 27.879 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.825
[Epoch 12][Batch 3699], Speed: 28.003 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 3799], Speed: 27.968 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 3899], Speed: 28.019 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 3999], Speed: 27.855 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 4099], Speed: 28.018 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 4199], Speed: 27.773 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 4299], Speed: 27.991 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 4399], Speed: 27.638 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.824
[Epoch 12][Batch 4499], Speed: 27.809 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 4599], Speed: 27.844 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 4699], Speed: 27.931 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 4799], Speed: 27.716 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.278,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 4899], Speed: 27.809 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 4999], Speed: 27.862 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 5099], Speed: 27.871 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 5199], Speed: 27.806 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.823
[Epoch 12][Batch 5299], Speed: 27.794 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5399], Speed: 28.015 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5499], Speed: 27.753 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5599], Speed: 27.689 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5699], Speed: 27.750 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5799], Speed: 28.007 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5899], Speed: 27.947 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 5999], Speed: 27.856 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.822
[Epoch 12][Batch 6099], Speed: 27.946 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.821
[Epoch 12][Batch 6199], Speed: 27.864 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.937,RCNNL1Loss=0.821
[Epoch 12][Batch 6299], Speed: 27.829 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6399], Speed: 27.915 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6499], Speed: 27.822 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6599], Speed: 27.749 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6699], Speed: 27.936 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6799], Speed: 27.858 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6899], Speed: 27.701 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.821
[Epoch 12][Batch 6999], Speed: 27.848 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 12][Batch 7099], Speed: 27.894 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 12][Batch 7199], Speed: 27.860 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 12][Batch 7299], Speed: 27.990 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 12] Training cost: 4212.904, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.222
[Epoch 12] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.344
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.549
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.369
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.221
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.417
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.296
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.489
 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 ] = 0.355
 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 ] = 0.624
person=48.9
bicycle=26.0
car=39.8
motorcycle=38.5
airplane=50.5
bus=55.6
train=55.0
truck=29.3
boat=20.9
traffic light=23.3
fire hydrant=57.6
stop sign=56.8
parking meter=37.7
bench=17.2
bird=25.8
cat=53.9
dog=53.4
horse=43.9
sheep=44.7
cow=51.8
elephant=57.3
bear=63.7
zebra=59.2
giraffe=60.8
backpack=11.3
umbrella=33.7
handbag=11.5
tie=26.8
suitcase=31.8
frisbee=57.7
skis=16.2
snowboard=27.0
sports ball=37.2
kite=33.3
baseball bat=24.5
baseball glove=32.9
skateboard=44.8
surfboard=28.6
tennis racket=41.3
bottle=34.2
wine glass=33.1
cup=36.7
fork=25.5
knife=14.9
spoon=15.0
bowl=34.8
banana=18.0
apple=12.1
sandwich=24.0
orange=26.0
broccoli=18.8
carrot=14.7
hot dog=21.7
pizza=44.2
donut=37.8
cake=29.1
chair=21.0
couch=34.1
potted plant=22.0
bed=36.3
dining table=21.4
toilet=51.5
tv=47.7
laptop=49.3
mouse=56.9
remote=22.8
keyboard=41.1
cell phone=29.3
microwave=51.9
oven=28.9
toaster=34.7
sink=31.1
refrigerator=43.5
book=10.6
clock=44.5
vase=35.7
scissors=12.1
teddy bear=39.4
hair drier=0.0
toothbrush=14.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.4
[Epoch 12] mAP 34.4 higher than current best [33.9] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 12] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0012_34.4000.params
[Epoch 13][Batch 99], Speed: 25.503 samples/sec, RPN_Conf=0.033,RPN_SmoothL1=0.049,RCNN_CrossEntropy=0.169,RCNN_SmoothL1=0.227,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 13][Batch 199], Speed: 27.732 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 13][Batch 299], Speed: 27.899 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.218,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.820
[Epoch 13][Batch 399], Speed: 27.693 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 499], Speed: 27.825 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 599], Speed: 27.791 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 699], Speed: 27.913 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 799], Speed: 27.901 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 899], Speed: 27.704 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.277,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 999], Speed: 27.796 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 1099], Speed: 27.659 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.819
[Epoch 13][Batch 1199], Speed: 27.780 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.047,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1299], Speed: 27.825 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1399], Speed: 27.825 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1499], Speed: 28.032 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1599], Speed: 27.824 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1699], Speed: 27.817 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1799], Speed: 27.850 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.818
[Epoch 13][Batch 1899], Speed: 28.002 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 1999], Speed: 27.752 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2099], Speed: 27.832 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2199], Speed: 27.856 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2299], Speed: 27.858 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2399], Speed: 27.860 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2499], Speed: 27.782 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2599], Speed: 27.878 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.817
[Epoch 13][Batch 2699], Speed: 27.969 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 2799], Speed: 27.781 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 2899], Speed: 27.709 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 2999], Speed: 27.796 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 3099], Speed: 27.906 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 3199], Speed: 27.916 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 3299], Speed: 27.982 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 3399], Speed: 27.861 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.816
[Epoch 13][Batch 3499], Speed: 27.925 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 3599], Speed: 28.052 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 3699], Speed: 27.790 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 3799], Speed: 27.869 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 3899], Speed: 27.779 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 3999], Speed: 27.779 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 4099], Speed: 27.795 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 4199], Speed: 27.817 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 4299], Speed: 27.919 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.276,RCNNAcc=0.938,RCNNL1Loss=0.815
[Epoch 13][Batch 4399], Speed: 27.962 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4499], Speed: 27.835 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4599], Speed: 27.918 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4699], Speed: 27.832 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4799], Speed: 27.747 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4899], Speed: 28.039 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 4999], Speed: 27.726 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 5099], Speed: 27.851 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 5199], Speed: 27.956 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.814
[Epoch 13][Batch 5299], Speed: 27.901 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5399], Speed: 27.851 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5499], Speed: 27.894 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5599], Speed: 27.895 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5699], Speed: 27.882 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5799], Speed: 27.908 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5899], Speed: 27.911 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 5999], Speed: 27.808 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 6099], Speed: 27.923 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 6199], Speed: 27.804 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.813
[Epoch 13][Batch 6299], Speed: 27.791 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6399], Speed: 27.938 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6499], Speed: 27.829 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6599], Speed: 27.744 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6699], Speed: 27.734 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6799], Speed: 28.057 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6899], Speed: 27.938 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 6999], Speed: 27.788 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 7099], Speed: 27.984 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.812
[Epoch 13][Batch 7199], Speed: 27.995 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 13][Batch 7299], Speed: 27.854 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 13] Training cost: 4215.592, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.168,RCNN_SmoothL1=0.221
[Epoch 13] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.331
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.534
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.356
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.203
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.358
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.429
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.290
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.480
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.515
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.359
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.551
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.610
person=49.6
bicycle=24.5
car=36.9
motorcycle=39.2
airplane=51.9
bus=52.0
train=53.7
truck=26.2
boat=19.3
traffic light=23.5
fire hydrant=56.8
stop sign=57.7
parking meter=43.8
bench=21.5
bird=27.1
cat=50.0
dog=44.3
horse=45.9
sheep=34.1
cow=44.3
elephant=52.7
bear=54.5
zebra=59.1
giraffe=58.3
backpack=10.6
umbrella=29.6
handbag=9.9
tie=28.0
suitcase=27.1
frisbee=60.6
skis=17.9
snowboard=29.2
sports ball=36.1
kite=32.9
baseball bat=27.2
baseball glove=31.2
skateboard=43.8
surfboard=30.3
tennis racket=42.5
bottle=35.6
wine glass=32.4
cup=38.3
fork=29.0
knife=14.1
spoon=11.8
bowl=32.5
banana=16.2
apple=11.6
sandwich=24.3
orange=25.4
broccoli=14.4
carrot=15.7
hot dog=25.2
pizza=41.8
donut=35.9
cake=28.2
chair=21.0
couch=30.8
potted plant=21.0
bed=27.3
dining table=22.7
toilet=50.9
tv=48.9
laptop=51.8
mouse=54.9
remote=23.5
keyboard=45.9
cell phone=26.8
microwave=45.8
oven=27.0
toaster=13.4
sink=29.3
refrigerator=44.7
book=12.0
clock=44.4
vase=31.3
scissors=17.5
teddy bear=28.8
hair drier=0.0
toothbrush=13.4
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.1
[Epoch 13] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0013_33.1000.params
[Epoch 14][Batch 99], Speed: 25.646 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 199], Speed: 27.813 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.222,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 299], Speed: 28.043 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 399], Speed: 27.887 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 499], Speed: 27.815 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 599], Speed: 27.979 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.811
[Epoch 14][Batch 699], Speed: 27.962 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.275,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 799], Speed: 28.010 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 899], Speed: 27.742 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 999], Speed: 27.713 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.221,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1099], Speed: 28.024 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1199], Speed: 27.802 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1299], Speed: 27.660 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1399], Speed: 28.002 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1499], Speed: 27.856 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.810
[Epoch 14][Batch 1599], Speed: 27.987 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 1699], Speed: 27.831 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 1799], Speed: 27.860 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 1899], Speed: 27.830 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 1999], Speed: 27.765 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 2099], Speed: 27.852 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 2199], Speed: 27.774 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 2299], Speed: 27.766 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 2399], Speed: 27.982 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.809
[Epoch 14][Batch 2499], Speed: 27.849 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 2599], Speed: 27.868 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 2699], Speed: 26.407 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 2799], Speed: 27.866 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 2899], Speed: 27.903 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 2999], Speed: 27.938 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 3099], Speed: 27.693 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 3199], Speed: 27.853 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 3299], Speed: 28.058 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.808
[Epoch 14][Batch 3399], Speed: 28.095 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3499], Speed: 27.970 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3599], Speed: 27.923 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3699], Speed: 27.901 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3799], Speed: 27.762 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3899], Speed: 28.096 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 3999], Speed: 27.711 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 4099], Speed: 27.822 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.985,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 4199], Speed: 27.688 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.807
[Epoch 14][Batch 4299], Speed: 27.973 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.274,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4399], Speed: 27.711 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4499], Speed: 27.929 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4599], Speed: 27.845 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4699], Speed: 27.932 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4799], Speed: 27.775 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4899], Speed: 27.896 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 4999], Speed: 27.599 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 5099], Speed: 27.899 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 5199], Speed: 27.764 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.806
[Epoch 14][Batch 5299], Speed: 28.005 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5399], Speed: 27.822 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5499], Speed: 27.720 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5599], Speed: 27.970 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5699], Speed: 27.654 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5799], Speed: 27.747 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5899], Speed: 27.803 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 5999], Speed: 27.895 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 6099], Speed: 27.830 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 6199], Speed: 27.936 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 6299], Speed: 27.724 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.805
[Epoch 14][Batch 6399], Speed: 27.928 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6499], Speed: 27.662 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6599], Speed: 28.039 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6699], Speed: 27.748 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6799], Speed: 27.862 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6899], Speed: 27.989 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 6999], Speed: 27.922 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 7099], Speed: 27.866 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 7199], Speed: 27.812 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14][Batch 7299], Speed: 27.793 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.804
[Epoch 14] Training cost: 4217.977, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.167,RCNN_SmoothL1=0.220
[Epoch 14] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.344
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.546
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.370
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.217
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.378
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.432
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.296
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.481
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.509
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.333
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.553
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.623
person=50.3
bicycle=25.0
car=39.2
motorcycle=39.7
airplane=51.0
bus=53.7
train=55.9
truck=26.3
boat=18.4
traffic light=23.2
fire hydrant=57.6
stop sign=55.0
parking meter=36.5
bench=20.9
bird=27.0
cat=56.8
dog=48.4
horse=52.1
sheep=36.6
cow=44.4
elephant=53.1
bear=54.9
zebra=59.3
giraffe=59.4
backpack=11.4
umbrella=31.6
handbag=11.9
tie=27.7
suitcase=26.3
frisbee=59.5
skis=18.1
snowboard=28.2
sports ball=38.4
kite=32.3
baseball bat=26.3
baseball glove=33.1
skateboard=46.3
surfboard=30.7
tennis racket=41.2
bottle=35.7
wine glass=33.0
cup=35.5
fork=28.9
knife=12.3
spoon=11.2
bowl=36.3
banana=18.4
apple=15.1
sandwich=25.2
orange=30.3
broccoli=19.6
carrot=17.2
hot dog=22.6
pizza=42.7
donut=35.5
cake=25.7
chair=22.3
couch=35.8
potted plant=22.2
bed=30.8
dining table=23.3
toilet=52.3
tv=48.8
laptop=48.2
mouse=59.7
remote=28.0
keyboard=42.2
cell phone=22.3
microwave=50.5
oven=26.4
toaster=38.5
sink=29.6
refrigerator=46.9
book=11.3
clock=46.2
vase=37.0
scissors=18.6
teddy bear=33.9
hair drier=2.0
toothbrush=19.7
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.4
[Epoch 14] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0014_34.4000.params
[Epoch 15][Batch 99], Speed: 25.686 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.170,RCNN_SmoothL1=0.222,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 199], Speed: 27.820 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 299], Speed: 27.743 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 399], Speed: 28.021 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.219,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 499], Speed: 27.843 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 599], Speed: 26.564 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 699], Speed: 27.777 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 799], Speed: 27.716 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 899], Speed: 28.011 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.803
[Epoch 15][Batch 999], Speed: 27.890 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1099], Speed: 27.798 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1199], Speed: 27.710 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.273,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1299], Speed: 27.987 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1399], Speed: 27.713 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1499], Speed: 27.901 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1599], Speed: 27.927 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1699], Speed: 27.929 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1799], Speed: 27.834 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1899], Speed: 27.703 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.802
[Epoch 15][Batch 1999], Speed: 27.944 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2099], Speed: 28.069 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2199], Speed: 27.640 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2299], Speed: 27.850 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2399], Speed: 27.966 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2499], Speed: 27.933 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2599], Speed: 27.710 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2699], Speed: 27.933 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2799], Speed: 27.767 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2899], Speed: 27.732 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.801
[Epoch 15][Batch 2999], Speed: 28.112 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3099], Speed: 27.690 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3199], Speed: 28.042 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3299], Speed: 27.888 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3399], Speed: 27.809 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3499], Speed: 27.962 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3599], Speed: 27.899 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3699], Speed: 27.842 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3799], Speed: 27.797 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3899], Speed: 27.901 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 3999], Speed: 27.965 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 4099], Speed: 27.837 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.800
[Epoch 15][Batch 4199], Speed: 27.790 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4299], Speed: 27.779 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4399], Speed: 27.969 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4499], Speed: 27.828 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4599], Speed: 27.852 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4699], Speed: 27.820 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4799], Speed: 27.753 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4899], Speed: 27.937 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 4999], Speed: 27.775 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 5099], Speed: 27.771 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.799
[Epoch 15][Batch 5199], Speed: 27.697 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5299], Speed: 27.990 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5399], Speed: 27.833 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.272,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5499], Speed: 27.982 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5599], Speed: 27.938 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5699], Speed: 27.987 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5799], Speed: 27.889 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5899], Speed: 28.039 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 5999], Speed: 27.831 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 6099], Speed: 27.929 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 6199], Speed: 27.864 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 6299], Speed: 28.091 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.798
[Epoch 15][Batch 6399], Speed: 27.794 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6499], Speed: 27.895 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6599], Speed: 27.728 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6699], Speed: 28.113 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6799], Speed: 27.864 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6899], Speed: 27.828 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 6999], Speed: 27.960 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 7099], Speed: 27.936 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 7199], Speed: 27.849 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15][Batch 7299], Speed: 27.672 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.218,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 15] Training cost: 4216.223, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.218
[Epoch 15] 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 ] = 0.368
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.207
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379
 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 ] = 0.294
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.481
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.511
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.343
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.544
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.624
person=50.5
bicycle=24.8
car=40.9
motorcycle=36.7
airplane=54.3
bus=58.8
train=55.2
truck=24.5
boat=20.9
traffic light=26.2
fire hydrant=56.4
stop sign=60.2
parking meter=36.9
bench=20.0
bird=26.6
cat=56.0
dog=50.5
horse=47.1
sheep=43.0
cow=48.6
elephant=53.7
bear=52.2
zebra=57.4
giraffe=59.5
backpack=11.0
umbrella=34.0
handbag=10.5
tie=26.3
suitcase=29.7
frisbee=58.6
skis=16.3
snowboard=30.8
sports ball=35.4
kite=36.6
baseball bat=23.5
baseball glove=29.7
skateboard=43.2
surfboard=29.1
tennis racket=40.2
bottle=35.7
wine glass=31.1
cup=38.9
fork=26.6
knife=16.5
spoon=8.7
bowl=33.5
banana=18.9
apple=12.7
sandwich=31.0
orange=24.8
broccoli=15.9
carrot=18.6
hot dog=26.6
pizza=43.5
donut=33.9
cake=29.7
chair=22.2
couch=30.5
potted plant=21.3
bed=32.0
dining table=23.1
toilet=49.3
tv=48.5
laptop=50.3
mouse=52.2
remote=27.1
keyboard=44.3
cell phone=25.0
microwave=52.1
oven=25.2
toaster=26.4
sink=30.9
refrigerator=46.0
book=11.0
clock=45.0
vase=33.2
scissors=19.5
teddy bear=35.5
hair drier=0.0
toothbrush=17.9
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.1
[Epoch 15] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0015_34.1000.params
[Epoch 16][Batch 99], Speed: 25.677 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 16][Batch 199], Speed: 27.655 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.797
[Epoch 16][Batch 299], Speed: 27.900 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 399], Speed: 27.992 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 499], Speed: 27.724 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 599], Speed: 27.933 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 699], Speed: 27.884 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 799], Speed: 27.893 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 899], Speed: 27.852 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 999], Speed: 27.957 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.938,RCNNL1Loss=0.796
[Epoch 16][Batch 1099], Speed: 27.894 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.796
[Epoch 16][Batch 1199], Speed: 27.893 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.796
[Epoch 16][Batch 1299], Speed: 27.914 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1399], Speed: 28.038 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1499], Speed: 27.711 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1599], Speed: 27.915 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1699], Speed: 28.106 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1799], Speed: 28.028 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1899], Speed: 27.812 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 1999], Speed: 28.151 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 2099], Speed: 27.881 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 2199], Speed: 27.760 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 2299], Speed: 27.690 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.795
[Epoch 16][Batch 2399], Speed: 27.904 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2499], Speed: 27.958 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.271,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2599], Speed: 27.795 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2699], Speed: 27.920 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2799], Speed: 27.863 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2899], Speed: 27.681 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 2999], Speed: 27.812 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 3099], Speed: 27.710 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 3199], Speed: 27.906 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 3299], Speed: 27.957 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 3399], Speed: 27.668 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.794
[Epoch 16][Batch 3499], Speed: 27.971 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 3599], Speed: 27.719 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 3699], Speed: 27.838 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 3799], Speed: 27.939 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 3899], Speed: 28.082 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 3999], Speed: 27.788 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4099], Speed: 27.601 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4199], Speed: 27.822 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4299], Speed: 27.642 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4399], Speed: 27.846 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4499], Speed: 26.475 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4599], Speed: 27.796 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.793
[Epoch 16][Batch 4699], Speed: 27.931 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 4799], Speed: 27.892 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 4899], Speed: 28.050 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 4999], Speed: 27.921 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5099], Speed: 28.008 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5199], Speed: 27.952 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5299], Speed: 27.933 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5399], Speed: 28.011 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5499], Speed: 27.587 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5599], Speed: 27.895 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5699], Speed: 27.988 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5799], Speed: 27.773 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.792
[Epoch 16][Batch 5899], Speed: 27.904 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 5999], Speed: 27.653 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6099], Speed: 27.657 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6199], Speed: 27.606 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6299], Speed: 27.612 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6399], Speed: 27.762 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6499], Speed: 27.707 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6599], Speed: 27.586 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6699], Speed: 27.747 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6799], Speed: 27.802 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6899], Speed: 27.624 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 6999], Speed: 27.841 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 7099], Speed: 27.872 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 7199], Speed: 27.984 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.791
[Epoch 16][Batch 7299], Speed: 27.967 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 16] Training cost: 4219.602, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.217
[Epoch 16] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.327
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.525
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.353
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.188
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.370
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.415
 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 ] = 0.467
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.496
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.307
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.533
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.614
person=49.9
bicycle=24.3
car=39.4
motorcycle=34.4
airplane=48.4
bus=53.9
train=50.0
truck=29.2
boat=21.2
traffic light=23.9
fire hydrant=52.7
stop sign=58.3
parking meter=40.7
bench=17.5
bird=21.4
cat=56.3
dog=42.3
horse=47.5
sheep=32.5
cow=39.4
elephant=51.6
bear=46.2
zebra=58.2
giraffe=56.3
backpack=10.6
umbrella=31.8
handbag=10.3
tie=25.9
suitcase=27.9
frisbee=56.9
skis=17.2
snowboard=23.7
sports ball=37.2
kite=34.6
baseball bat=21.7
baseball glove=29.2
skateboard=42.6
surfboard=30.6
tennis racket=38.8
bottle=33.6
wine glass=34.1
cup=35.4
fork=30.8
knife=12.0
spoon=8.2
bowl=33.2
banana=17.8
apple=13.8
sandwich=23.3
orange=23.5
broccoli=16.8
carrot=18.6
hot dog=21.6
pizza=46.4
donut=34.7
cake=23.5
chair=21.1
couch=31.9
potted plant=20.1
bed=30.8
dining table=21.5
toilet=48.8
tv=48.8
laptop=49.1
mouse=57.2
remote=22.2
keyboard=43.2
cell phone=27.9
microwave=48.8
oven=28.4
toaster=24.3
sink=26.8
refrigerator=42.1
book=10.3
clock=46.0
vase=32.5
scissors=19.9
teddy bear=28.4
hair drier=4.0
toothbrush=19.4
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=32.7
[Epoch 16] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0016_32.7000.params
[Epoch 17][Batch 99], Speed: 25.590 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.048,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.221,RPNAcc=0.986,RPNL1Loss=0.270,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 199], Speed: 27.588 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.217,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 299], Speed: 27.943 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 399], Speed: 27.781 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 499], Speed: 27.841 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 599], Speed: 27.889 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 699], Speed: 28.034 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 799], Speed: 27.767 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 899], Speed: 27.947 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.790
[Epoch 17][Batch 999], Speed: 26.486 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1099], Speed: 27.757 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1199], Speed: 28.092 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1299], Speed: 28.184 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1399], Speed: 27.597 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1499], Speed: 27.993 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1599], Speed: 27.815 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1699], Speed: 28.054 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1799], Speed: 27.954 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1899], Speed: 27.906 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 1999], Speed: 28.059 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.789
[Epoch 17][Batch 2099], Speed: 27.854 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2199], Speed: 27.936 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2299], Speed: 27.895 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2399], Speed: 28.068 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2499], Speed: 28.028 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2599], Speed: 27.869 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2699], Speed: 27.872 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2799], Speed: 27.846 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2899], Speed: 27.896 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 2999], Speed: 28.084 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 3099], Speed: 27.779 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 3199], Speed: 27.958 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 3299], Speed: 27.861 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.788
[Epoch 17][Batch 3399], Speed: 27.980 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3499], Speed: 27.689 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3599], Speed: 27.937 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3699], Speed: 27.910 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3799], Speed: 28.050 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3899], Speed: 27.910 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 3999], Speed: 27.855 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4099], Speed: 27.858 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4199], Speed: 27.729 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4299], Speed: 27.979 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4399], Speed: 27.893 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4499], Speed: 27.928 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.787
[Epoch 17][Batch 4599], Speed: 27.811 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 4699], Speed: 27.788 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 4799], Speed: 28.014 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 4899], Speed: 27.952 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 4999], Speed: 28.024 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.269,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5099], Speed: 28.036 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5199], Speed: 28.021 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5299], Speed: 27.881 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5399], Speed: 27.803 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5499], Speed: 27.764 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5599], Speed: 27.827 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5699], Speed: 27.778 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5799], Speed: 27.940 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5899], Speed: 27.720 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.786
[Epoch 17][Batch 5999], Speed: 27.779 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6099], Speed: 27.820 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6199], Speed: 27.600 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6299], Speed: 27.870 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6399], Speed: 27.671 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6499], Speed: 27.805 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6599], Speed: 27.622 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6699], Speed: 27.758 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6799], Speed: 27.742 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6899], Speed: 27.583 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 6999], Speed: 28.048 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 7099], Speed: 27.826 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 7199], Speed: 27.677 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17][Batch 7299], Speed: 27.832 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.785
[Epoch 17] Training cost: 4216.269, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.216
[Epoch 17] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.335
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.532
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.203
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.367
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.418
 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 ] = 0.487
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.519
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.343
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.556
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.618
person=50.5
bicycle=22.9
car=38.1
motorcycle=34.3
airplane=55.1
bus=57.2
train=50.9
truck=26.8
boat=19.8
traffic light=24.1
fire hydrant=58.6
stop sign=55.9
parking meter=36.9
bench=19.3
bird=27.0
cat=58.7
dog=42.4
horse=47.1
sheep=45.5
cow=48.8
elephant=54.8
bear=54.2
zebra=57.7
giraffe=56.9
backpack=9.7
umbrella=30.5
handbag=8.6
tie=28.9
suitcase=19.8
frisbee=59.3
skis=19.7
snowboard=26.7
sports ball=38.9
kite=36.1
baseball bat=27.3
baseball glove=28.9
skateboard=43.0
surfboard=28.9
tennis racket=42.0
bottle=32.9
wine glass=29.5
cup=36.5
fork=29.7
knife=13.3
spoon=8.4
bowl=33.9
banana=17.7
apple=13.1
sandwich=26.3
orange=23.2
broccoli=18.4
carrot=15.9
hot dog=22.5
pizza=44.9
donut=29.7
cake=24.6
chair=22.6
couch=33.3
potted plant=19.6
bed=35.0
dining table=24.4
toilet=44.4
tv=49.5
laptop=55.6
mouse=52.7
remote=26.6
keyboard=46.1
cell phone=29.1
microwave=42.8
oven=23.1
toaster=27.3
sink=28.1
refrigerator=41.4
book=9.4
clock=46.2
vase=32.1
scissors=22.8
teddy bear=35.5
hair drier=0.5
toothbrush=17.6
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.5
[Epoch 17] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0017_33.5000.params
[Epoch 18][Batch 99], Speed: 25.811 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.155,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 199], Speed: 28.063 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 299], Speed: 27.860 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 399], Speed: 27.788 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 499], Speed: 28.048 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 599], Speed: 27.970 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 699], Speed: 27.885 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 799], Speed: 28.085 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 899], Speed: 27.889 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.210,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 999], Speed: 27.972 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.156,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 1099], Speed: 27.830 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 1199], Speed: 28.010 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.784
[Epoch 18][Batch 1299], Speed: 27.888 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1399], Speed: 28.044 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1499], Speed: 27.865 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.157,RCNN_SmoothL1=0.211,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1599], Speed: 28.009 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1699], Speed: 28.111 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1799], Speed: 27.827 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1899], Speed: 27.978 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 1999], Speed: 28.062 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.158,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2099], Speed: 27.829 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2199], Speed: 27.996 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.212,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2299], Speed: 28.005 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2399], Speed: 27.945 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2499], Speed: 28.012 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.783
[Epoch 18][Batch 2599], Speed: 27.827 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 2699], Speed: 28.021 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 2799], Speed: 27.807 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 2899], Speed: 27.743 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.268,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 2999], Speed: 27.850 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3099], Speed: 27.865 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3199], Speed: 28.001 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3299], Speed: 28.083 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3399], Speed: 27.851 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3499], Speed: 28.108 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3599], Speed: 28.139 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3699], Speed: 28.160 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3799], Speed: 28.027 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3899], Speed: 27.919 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.782
[Epoch 18][Batch 3999], Speed: 28.053 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4099], Speed: 28.031 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4199], Speed: 28.107 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4299], Speed: 28.013 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4399], Speed: 26.568 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4499], Speed: 27.895 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4599], Speed: 27.897 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4699], Speed: 28.071 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4799], Speed: 28.067 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4899], Speed: 28.025 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 4999], Speed: 27.772 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 5099], Speed: 27.760 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 5199], Speed: 27.815 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 5299], Speed: 28.010 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.781
[Epoch 18][Batch 5399], Speed: 28.026 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5499], Speed: 27.973 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5599], Speed: 28.113 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5699], Speed: 28.010 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5799], Speed: 27.909 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5899], Speed: 27.849 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 5999], Speed: 27.987 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6099], Speed: 27.891 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6199], Speed: 27.951 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6299], Speed: 27.886 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6399], Speed: 27.901 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6499], Speed: 27.853 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6599], Speed: 27.932 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6699], Speed: 28.022 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6799], Speed: 27.856 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.780
[Epoch 18][Batch 6899], Speed: 28.132 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 18][Batch 6999], Speed: 27.799 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 18][Batch 7099], Speed: 27.785 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 18][Batch 7199], Speed: 27.913 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.164,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 18][Batch 7299], Speed: 27.963 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 18] Training cost: 4203.314, RPN_Conf=0.032,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.165,RCNN_SmoothL1=0.215
[Epoch 18] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.335
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.533
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.361
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.202
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.371
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.411
 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 ] = 0.484
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.517
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.359
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.554
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.615
person=49.9
bicycle=25.8
car=39.7
motorcycle=38.0
airplane=54.7
bus=57.0
train=55.1
truck=24.5
boat=19.2
traffic light=24.9
fire hydrant=60.2
stop sign=61.2
parking meter=36.2
bench=20.0
bird=26.1
cat=50.2
dog=46.3
horse=50.2
sheep=37.0
cow=37.4
elephant=52.1
bear=53.0
zebra=60.7
giraffe=56.9
backpack=10.8
umbrella=31.5
handbag=11.5
tie=27.8
suitcase=24.5
frisbee=60.9
skis=19.4
snowboard=32.6
sports ball=39.2
kite=36.1
baseball bat=21.1
baseball glove=29.5
skateboard=45.1
surfboard=28.6
tennis racket=40.2
bottle=33.6
wine glass=32.0
cup=39.7
fork=29.5
knife=13.6
spoon=13.1
bowl=32.4
banana=19.3
apple=12.7
sandwich=23.2
orange=27.2
broccoli=20.1
carrot=15.9
hot dog=22.6
pizza=39.0
donut=36.4
cake=28.3
chair=21.3
couch=33.2
potted plant=21.6
bed=30.6
dining table=20.7
toilet=46.5
tv=47.7
laptop=51.1
mouse=53.8
remote=24.4
keyboard=38.1
cell phone=28.0
microwave=49.6
oven=28.4
toaster=27.1
sink=26.2
refrigerator=43.5
book=9.9
clock=44.5
vase=30.5
scissors=19.6
teddy bear=33.2
hair drier=0.4
toothbrush=18.3
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=33.5
[Epoch 18] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0018_33.5000.params
[Epoch 19][Batch 99], Speed: 25.566 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.166,RCNN_SmoothL1=0.220,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 199], Speed: 27.667 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 299], Speed: 27.961 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 399], Speed: 26.477 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 499], Speed: 28.021 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 599], Speed: 27.898 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 699], Speed: 27.986 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 799], Speed: 27.942 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 899], Speed: 27.895 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.779
[Epoch 19][Batch 999], Speed: 28.023 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.046,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1099], Speed: 28.010 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1199], Speed: 28.020 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.160,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1299], Speed: 28.059 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.267,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1399], Speed: 27.783 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1499], Speed: 27.965 samples/sec, RPN_Conf=0.030,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1599], Speed: 27.876 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1699], Speed: 28.016 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1799], Speed: 27.946 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1899], Speed: 27.957 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 1999], Speed: 27.897 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 2099], Speed: 28.008 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 2199], Speed: 27.799 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.215,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 2299], Speed: 27.991 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.778
[Epoch 19][Batch 2399], Speed: 27.200 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2499], Speed: 27.881 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2599], Speed: 27.905 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2699], Speed: 27.907 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2799], Speed: 27.707 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2899], Speed: 27.798 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 2999], Speed: 27.885 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3099], Speed: 27.786 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3199], Speed: 27.798 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3299], Speed: 27.863 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3399], Speed: 28.005 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3499], Speed: 27.977 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3599], Speed: 27.786 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3699], Speed: 27.951 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.777
[Epoch 19][Batch 3799], Speed: 27.799 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 3899], Speed: 27.981 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 3999], Speed: 27.917 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4099], Speed: 27.736 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4199], Speed: 27.730 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4299], Speed: 27.832 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4399], Speed: 27.732 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4499], Speed: 27.936 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4599], Speed: 27.761 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4699], Speed: 27.957 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4799], Speed: 27.713 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4899], Speed: 28.035 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.213,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 4999], Speed: 27.887 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 5099], Speed: 27.821 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.161,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 5199], Speed: 27.901 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 5299], Speed: 27.872 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.776
[Epoch 19][Batch 5399], Speed: 27.731 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5499], Speed: 27.843 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5599], Speed: 28.057 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5699], Speed: 27.834 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5799], Speed: 27.912 samples/sec, RPN_Conf=0.031,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5899], Speed: 27.701 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 5999], Speed: 28.027 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6099], Speed: 28.073 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6199], Speed: 27.804 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6299], Speed: 27.912 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6399], Speed: 27.814 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6499], Speed: 27.718 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6599], Speed: 27.749 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6699], Speed: 27.766 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6799], Speed: 27.922 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.162,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6899], Speed: 27.842 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 6999], Speed: 28.052 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.775
[Epoch 19][Batch 7099], Speed: 27.825 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 19][Batch 7199], Speed: 27.718 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 19][Batch 7299], Speed: 27.883 samples/sec, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.266,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 19] Training cost: 4215.991, RPN_Conf=0.032,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.163,RCNN_SmoothL1=0.214
[Epoch 19] 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 ] = 0.543
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.365
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.206
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.377
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.429
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.296
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.482
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.511
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.336
 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 ] = 0.609
person=50.4
bicycle=24.9
car=40.3
motorcycle=37.6
airplane=54.7
bus=50.8
train=51.9
truck=25.7
boat=20.5
traffic light=23.0
fire hydrant=59.0
stop sign=58.1
parking meter=33.2
bench=20.7
bird=25.5
cat=58.1
dog=46.3
horse=49.9
sheep=38.9
cow=38.3
elephant=52.7
bear=58.3
zebra=55.9
giraffe=55.5
backpack=10.9
umbrella=32.8
handbag=12.9
tie=26.2
suitcase=33.5
frisbee=59.3
skis=16.8
snowboard=29.4
sports ball=36.2
kite=34.2
baseball bat=27.2
baseball glove=30.6
skateboard=47.1
surfboard=32.7
tennis racket=42.1
bottle=32.4
wine glass=34.6
cup=35.9
fork=31.0
knife=12.6
spoon=13.0
bowl=30.4
banana=20.6
apple=14.0
sandwich=29.0
orange=27.1
broccoli=20.9
carrot=16.6
hot dog=24.2
pizza=48.1
donut=38.5
cake=25.7
chair=23.5
couch=36.2
potted plant=22.7
bed=33.9
dining table=24.8
toilet=47.6
tv=50.3
laptop=51.9
mouse=53.0
remote=26.7
keyboard=44.7
cell phone=25.9
microwave=50.3
oven=29.1
toaster=19.2
sink=31.3
refrigerator=47.0
book=10.9
clock=45.7
vase=31.0
scissors=19.1
teddy bear=40.7
hair drier=0.0
toothbrush=11.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=34.2
[Epoch 19] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0019_34.2000.params
[Epoch 20] Set learning rate to 0.002
[Epoch 20][Batch 99], Speed: 25.722 samples/sec, RPN_Conf=0.029,RPN_SmoothL1=0.045,RCNN_CrossEntropy=0.159,RCNN_SmoothL1=0.214,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 199], Speed: 27.885 samples/sec, RPN_Conf=0.028,RPN_SmoothL1=0.044,RCNN_CrossEntropy=0.153,RCNN_SmoothL1=0.209,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 299], Speed: 27.829 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.150,RCNN_SmoothL1=0.208,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 399], Speed: 27.887 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.147,RCNN_SmoothL1=0.207,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 499], Speed: 27.768 samples/sec, RPN_Conf=0.027,RPN_SmoothL1=0.043,RCNN_CrossEntropy=0.144,RCNN_SmoothL1=0.205,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 599], Speed: 27.879 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.143,RCNN_SmoothL1=0.204,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 699], Speed: 27.780 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.142,RCNN_SmoothL1=0.203,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.774
[Epoch 20][Batch 799], Speed: 27.832 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.141,RCNN_SmoothL1=0.202,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 899], Speed: 27.858 samples/sec, RPN_Conf=0.026,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.140,RCNN_SmoothL1=0.202,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 999], Speed: 27.661 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.139,RCNN_SmoothL1=0.201,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 1099], Speed: 27.924 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.138,RCNN_SmoothL1=0.200,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 1199], Speed: 27.873 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.138,RCNN_SmoothL1=0.201,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 1299], Speed: 27.944 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.137,RCNN_SmoothL1=0.200,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.939,RCNNL1Loss=0.773
[Epoch 20][Batch 1399], Speed: 27.882 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.137,RCNN_SmoothL1=0.200,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.773
[Epoch 20][Batch 1499], Speed: 27.932 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.137,RCNN_SmoothL1=0.200,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.773
[Epoch 20][Batch 1599], Speed: 27.851 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.136,RCNN_SmoothL1=0.199,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 1699], Speed: 27.722 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.136,RCNN_SmoothL1=0.199,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 1799], Speed: 27.987 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.135,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 1899], Speed: 27.847 samples/sec, RPN_Conf=0.025,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.135,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 1999], Speed: 27.851 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.135,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 2099], Speed: 28.121 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.135,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 2199], Speed: 27.984 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.134,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 2299], Speed: 27.994 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.134,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.772
[Epoch 20][Batch 2399], Speed: 27.765 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2499], Speed: 27.891 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2599], Speed: 27.783 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.265,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2699], Speed: 27.746 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.198,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2799], Speed: 27.880 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2899], Speed: 27.732 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.133,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 2999], Speed: 27.913 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.771
[Epoch 20][Batch 3099], Speed: 27.911 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3199], Speed: 27.776 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3299], Speed: 28.074 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3399], Speed: 27.755 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3499], Speed: 27.874 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.197,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3599], Speed: 28.130 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.132,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3699], Speed: 27.855 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3799], Speed: 27.975 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.770
[Epoch 20][Batch 3899], Speed: 27.697 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 3999], Speed: 27.889 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4099], Speed: 27.908 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4199], Speed: 27.714 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4299], Speed: 27.942 samples/sec, RPN_Conf=0.024,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4399], Speed: 27.783 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.131,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4499], Speed: 27.840 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.769
[Epoch 20][Batch 4599], Speed: 27.949 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.041,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 4699], Speed: 27.872 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 4799], Speed: 28.024 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 4899], Speed: 28.045 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 4999], Speed: 27.854 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 5099], Speed: 28.016 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.130,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.264,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 5199], Speed: 27.981 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.768
[Epoch 20][Batch 5299], Speed: 27.711 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5399], Speed: 26.354 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5499], Speed: 27.855 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5599], Speed: 27.822 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5699], Speed: 27.938 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5799], Speed: 28.086 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5899], Speed: 27.832 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 5999], Speed: 27.726 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.767
[Epoch 20][Batch 6099], Speed: 27.873 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.129,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6199], Speed: 27.763 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6299], Speed: 28.000 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6399], Speed: 27.747 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.195,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6499], Speed: 27.877 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6599], Speed: 27.909 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6699], Speed: 27.831 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.766
[Epoch 20][Batch 6799], Speed: 27.713 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20][Batch 6899], Speed: 27.854 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20][Batch 6999], Speed: 27.847 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20][Batch 7099], Speed: 27.924 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20][Batch 7199], Speed: 27.882 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20][Batch 7299], Speed: 27.931 samples/sec, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 20] Training cost: 4215.729, RPN_Conf=0.023,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.128,RCNN_SmoothL1=0.194
[Epoch 20] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.416
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.629
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.449
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.259
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.454
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.529
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.332
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.537
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.567
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.392
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.604
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.689
person=54.9
bicycle=32.2
car=45.1
motorcycle=45.2
airplane=61.2
bus=64.8
train=62.5
truck=33.9
boat=27.3
traffic light=26.6
fire hydrant=66.6
stop sign=64.8
parking meter=45.9
bench=25.3
bird=35.1
cat=66.1
dog=61.4
horse=58.3
sheep=49.5
cow=55.2
elephant=63.0
bear=65.6
zebra=63.1
giraffe=64.2
backpack=15.6
umbrella=40.0
handbag=16.6
tie=35.0
suitcase=40.2
frisbee=66.9
skis=24.8
snowboard=40.2
sports ball=41.4
kite=41.5
baseball bat=36.1
baseball glove=36.4
skateboard=53.9
surfboard=40.5
tennis racket=49.4
bottle=39.7
wine glass=38.0
cup=43.5
fork=39.1
knife=20.5
spoon=18.7
bowl=42.3
banana=25.3
apple=19.0
sandwich=32.5
orange=30.9
broccoli=21.2
carrot=22.0
hot dog=29.2
pizza=52.3
donut=46.2
cake=38.8
chair=29.5
couch=40.8
potted plant=26.5
bed=38.0
dining table=27.8
toilet=57.6
tv=56.5
laptop=61.0
mouse=61.0
remote=35.4
keyboard=51.5
cell phone=33.6
microwave=57.6
oven=35.6
toaster=29.6
sink=39.3
refrigerator=57.2
book=15.7
clock=50.1
vase=35.6
scissors=32.5
teddy bear=45.7
hair drier=5.7
toothbrush=26.0
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=41.6
[Epoch 20] mAP 41.6 higher than current best [34.4] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 20] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0020_41.6000.params
[Epoch 21][Batch 99], Speed: 25.495 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.042,RCNN_CrossEntropy=0.124,RCNN_SmoothL1=0.196,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.765
[Epoch 21][Batch 199], Speed: 27.983 samples/sec, RPN_Conf=0.022,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.121,RCNN_SmoothL1=0.193,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 299], Speed: 27.826 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.119,RCNN_SmoothL1=0.190,RPNAcc=0.986,RPNL1Loss=0.263,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 399], Speed: 27.827 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 499], Speed: 27.876 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 599], Speed: 27.949 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 699], Speed: 27.782 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 799], Speed: 27.786 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.764
[Epoch 21][Batch 899], Speed: 27.876 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 999], Speed: 27.910 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1099], Speed: 28.015 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.116,RCNN_SmoothL1=0.186,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1199], Speed: 28.012 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.116,RCNN_SmoothL1=0.186,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1299], Speed: 28.018 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.186,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1399], Speed: 27.986 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.986,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1499], Speed: 27.760 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.763
[Epoch 21][Batch 1599], Speed: 27.965 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 1699], Speed: 27.855 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 1799], Speed: 27.813 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 1899], Speed: 27.792 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 1999], Speed: 27.995 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 2099], Speed: 27.852 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 2199], Speed: 27.817 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 2299], Speed: 27.745 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.762
[Epoch 21][Batch 2399], Speed: 27.434 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2499], Speed: 27.828 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2599], Speed: 27.822 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2699], Speed: 27.934 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.262,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2799], Speed: 27.797 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2899], Speed: 27.844 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 2999], Speed: 27.887 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.761
[Epoch 21][Batch 3099], Speed: 27.875 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3199], Speed: 27.858 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3299], Speed: 27.895 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3399], Speed: 27.700 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3499], Speed: 27.886 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3599], Speed: 27.652 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3699], Speed: 28.039 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.760
[Epoch 21][Batch 3799], Speed: 26.534 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 3899], Speed: 27.910 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 3999], Speed: 27.989 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 4099], Speed: 27.843 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 4199], Speed: 27.853 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 4299], Speed: 27.884 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.940,RCNNL1Loss=0.759
[Epoch 21][Batch 4399], Speed: 27.791 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.759
[Epoch 21][Batch 4499], Speed: 27.786 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.759
[Epoch 21][Batch 4599], Speed: 27.965 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 4699], Speed: 27.841 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 4799], Speed: 27.880 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 4899], Speed: 27.763 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 4999], Speed: 27.715 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 5099], Speed: 27.966 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.261,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 5199], Speed: 27.755 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.758
[Epoch 21][Batch 5299], Speed: 27.846 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5399], Speed: 27.917 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5499], Speed: 27.809 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5599], Speed: 28.143 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5699], Speed: 27.956 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5799], Speed: 27.845 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5899], Speed: 27.846 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 5999], Speed: 27.997 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.757
[Epoch 21][Batch 6099], Speed: 27.928 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6199], Speed: 27.874 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.188,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6299], Speed: 28.056 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6399], Speed: 27.809 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6499], Speed: 27.771 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6599], Speed: 27.783 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6699], Speed: 27.911 samples/sec, RPN_Conf=0.021,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.756
[Epoch 21][Batch 6799], Speed: 27.869 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21][Batch 6899], Speed: 27.842 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21][Batch 6999], Speed: 27.907 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21][Batch 7099], Speed: 27.665 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21][Batch 7199], Speed: 27.810 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21][Batch 7299], Speed: 27.830 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 21] Training cost: 4217.621, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.117,RCNN_SmoothL1=0.187
[Epoch 21] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.419
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.634
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.456
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.267
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.458
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.535
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.337
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.542
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.573
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.394
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.611
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700
person=55.4
bicycle=31.9
car=45.0
motorcycle=45.8
airplane=60.6
bus=66.1
train=63.2
truck=35.7
boat=27.5
traffic light=28.4
fire hydrant=67.4
stop sign=66.3
parking meter=46.3
bench=25.7
bird=34.5
cat=66.1
dog=61.7
horse=58.9
sheep=50.4
cow=53.7
elephant=62.3
bear=68.3
zebra=63.6
giraffe=65.8
backpack=15.2
umbrella=41.0
handbag=17.2
tie=35.3
suitcase=41.4
frisbee=67.5
skis=25.4
snowboard=41.4
sports ball=42.0
kite=41.5
baseball bat=35.5
baseball glove=37.6
skateboard=54.8
surfboard=40.0
tennis racket=50.3
bottle=39.9
wine glass=38.2
cup=44.1
fork=39.7
knife=22.9
spoon=19.2
bowl=41.6
banana=24.2
apple=20.1
sandwich=32.1
orange=30.8
broccoli=21.2
carrot=22.0
hot dog=33.6
pizza=52.7
donut=47.4
cake=39.7
chair=29.6
couch=40.2
potted plant=26.7
bed=40.5
dining table=28.6
toilet=57.7
tv=56.6
laptop=60.5
mouse=61.9
remote=35.7
keyboard=52.5
cell phone=33.6
microwave=57.5
oven=37.1
toaster=29.2
sink=37.4
refrigerator=55.9
book=16.5
clock=49.6
vase=36.4
scissors=32.4
teddy bear=43.9
hair drier=5.0
toothbrush=24.5
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=41.9
[Epoch 21] mAP 41.9 higher than current best [41.6] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 21] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0021_41.9000.params
[Epoch 22][Batch 99], Speed: 25.588 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.110,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.755
[Epoch 22][Batch 199], Speed: 27.631 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 299], Speed: 27.681 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.113,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.260,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 399], Speed: 27.669 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.113,RCNN_SmoothL1=0.186,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 499], Speed: 27.825 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 599], Speed: 27.802 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.186,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 699], Speed: 27.910 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.113,RCNN_SmoothL1=0.187,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 799], Speed: 27.802 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.113,RCNN_SmoothL1=0.186,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 899], Speed: 26.536 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.113,RCNN_SmoothL1=0.186,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.754
[Epoch 22][Batch 999], Speed: 28.034 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.186,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1099], Speed: 27.888 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1199], Speed: 27.970 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1299], Speed: 27.889 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1399], Speed: 27.793 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1499], Speed: 27.849 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1599], Speed: 27.916 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.753
[Epoch 22][Batch 1699], Speed: 27.839 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 1799], Speed: 27.949 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 1899], Speed: 27.730 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 1999], Speed: 27.926 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 2099], Speed: 27.646 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 2199], Speed: 27.858 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.185,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 2299], Speed: 27.951 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.752
[Epoch 22][Batch 2399], Speed: 27.744 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2499], Speed: 27.923 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2599], Speed: 27.760 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2699], Speed: 27.799 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.259,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2799], Speed: 27.847 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2899], Speed: 27.960 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 2999], Speed: 27.830 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 3099], Speed: 27.749 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.751
[Epoch 22][Batch 3199], Speed: 27.832 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3299], Speed: 27.545 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3399], Speed: 27.912 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3499], Speed: 27.723 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3599], Speed: 27.656 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3699], Speed: 27.680 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3799], Speed: 27.721 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.750
[Epoch 22][Batch 3899], Speed: 27.847 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 3999], Speed: 27.758 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4099], Speed: 27.828 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4199], Speed: 28.013 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4299], Speed: 27.846 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4399], Speed: 27.864 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4499], Speed: 27.786 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4599], Speed: 27.798 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.749
[Epoch 22][Batch 4699], Speed: 27.986 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 4799], Speed: 27.736 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 4899], Speed: 27.773 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 4999], Speed: 27.741 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 5099], Speed: 27.654 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 5199], Speed: 27.849 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 5299], Speed: 27.878 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.258,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 5399], Speed: 27.665 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.748
[Epoch 22][Batch 5499], Speed: 27.954 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 5599], Speed: 27.878 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 5699], Speed: 27.724 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 5799], Speed: 27.660 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 5899], Speed: 27.794 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 5999], Speed: 28.003 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 6099], Speed: 27.749 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 6199], Speed: 27.851 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.747
[Epoch 22][Batch 6299], Speed: 27.762 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6399], Speed: 27.760 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6499], Speed: 27.822 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6599], Speed: 27.817 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6699], Speed: 27.615 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.112,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6799], Speed: 27.662 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.941,RCNNL1Loss=0.746
[Epoch 22][Batch 6899], Speed: 27.752 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.746
[Epoch 22][Batch 6999], Speed: 27.619 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 22][Batch 7099], Speed: 27.631 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 22][Batch 7199], Speed: 27.788 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 22][Batch 7299], Speed: 27.719 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 22] Training cost: 4226.384, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.111,RCNN_SmoothL1=0.183
[Epoch 22] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.422
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.635
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.458
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.271
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.458
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.535
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.337
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.542
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.571
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.404
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.609
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.692
person=55.5
bicycle=32.2
car=45.2
motorcycle=47.0
airplane=62.9
bus=65.2
train=62.8
truck=37.2
boat=26.9
traffic light=27.6
fire hydrant=66.6
stop sign=65.3
parking meter=47.4
bench=25.4
bird=34.8
cat=65.7
dog=62.6
horse=59.0
sheep=52.3
cow=57.0
elephant=64.1
bear=68.0
zebra=63.5
giraffe=65.2
backpack=16.7
umbrella=40.6
handbag=16.2
tie=35.6
suitcase=41.6
frisbee=67.0
skis=25.4
snowboard=41.0
sports ball=42.6
kite=41.4
baseball bat=34.7
baseball glove=38.4
skateboard=54.6
surfboard=41.9
tennis racket=51.1
bottle=39.9
wine glass=39.1
cup=44.0
fork=39.7
knife=23.2
spoon=18.8
bowl=41.7
banana=25.3
apple=19.4
sandwich=31.6
orange=30.9
broccoli=20.6
carrot=21.7
hot dog=36.0
pizza=53.3
donut=47.0
cake=39.1
chair=29.8
couch=41.1
potted plant=27.8
bed=41.4
dining table=29.5
toilet=58.3
tv=56.6
laptop=61.9
mouse=59.8
remote=36.6
keyboard=51.8
cell phone=33.4
microwave=55.6
oven=35.1
toaster=29.8
sink=40.4
refrigerator=56.9
book=16.8
clock=49.9
vase=37.9
scissors=32.2
teddy bear=47.3
hair drier=4.5
toothbrush=23.8
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=42.2
[Epoch 22] mAP 42.2 higher than current best [41.9] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 22] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0022_42.2000.params
[Epoch 23][Batch 99], Speed: 25.701 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.040,RCNN_CrossEntropy=0.110,RCNN_SmoothL1=0.184,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 23][Batch 199], Speed: 27.723 samples/sec, RPN_Conf=0.020,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 23][Batch 299], Speed: 27.825 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 23][Batch 399], Speed: 27.905 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.745
[Epoch 23][Batch 499], Speed: 27.701 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.257,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 599], Speed: 27.852 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 699], Speed: 27.914 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.183,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 799], Speed: 27.731 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 899], Speed: 27.751 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 999], Speed: 27.661 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 1099], Speed: 27.748 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.109,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.744
[Epoch 23][Batch 1199], Speed: 27.894 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1299], Speed: 27.972 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1399], Speed: 27.864 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1499], Speed: 27.761 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.182,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1599], Speed: 27.900 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1699], Speed: 27.736 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1799], Speed: 27.849 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1899], Speed: 27.957 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.743
[Epoch 23][Batch 1999], Speed: 27.986 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2099], Speed: 27.937 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2199], Speed: 27.840 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2299], Speed: 28.009 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2399], Speed: 27.930 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2499], Speed: 27.954 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2599], Speed: 27.784 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2699], Speed: 27.770 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.742
[Epoch 23][Batch 2799], Speed: 27.835 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 2899], Speed: 27.754 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 2999], Speed: 27.881 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3099], Speed: 27.925 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.256,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3199], Speed: 27.879 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3299], Speed: 27.779 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3399], Speed: 27.779 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3499], Speed: 27.782 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.741
[Epoch 23][Batch 3599], Speed: 28.004 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 3699], Speed: 27.945 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 3799], Speed: 27.930 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 3899], Speed: 27.988 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 3999], Speed: 28.046 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 4099], Speed: 27.861 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 4199], Speed: 27.891 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 4299], Speed: 27.926 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.740
[Epoch 23][Batch 4399], Speed: 27.983 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4499], Speed: 27.893 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4599], Speed: 27.990 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4699], Speed: 27.926 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4799], Speed: 28.080 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4899], Speed: 27.874 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 4999], Speed: 27.848 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.739
[Epoch 23][Batch 5099], Speed: 27.859 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5199], Speed: 27.853 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5299], Speed: 27.998 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5399], Speed: 27.927 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5499], Speed: 27.799 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5599], Speed: 27.874 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5699], Speed: 27.956 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.255,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5799], Speed: 27.968 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5899], Speed: 27.903 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.738
[Epoch 23][Batch 5999], Speed: 27.929 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6099], Speed: 27.843 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6199], Speed: 28.010 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6299], Speed: 27.798 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6399], Speed: 27.934 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6499], Speed: 28.030 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6599], Speed: 27.671 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6699], Speed: 27.864 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.737
[Epoch 23][Batch 6799], Speed: 26.743 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23][Batch 6899], Speed: 27.756 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23][Batch 6999], Speed: 27.751 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23][Batch 7099], Speed: 27.964 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23][Batch 7199], Speed: 27.948 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23][Batch 7299], Speed: 27.806 samples/sec, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 23] Training cost: 4214.549, RPN_Conf=0.019,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.107,RCNN_SmoothL1=0.180
[Epoch 23] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.423
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.638
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.464
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.272
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.456
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.544
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.338
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.543
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.573
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.407
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.609
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.701
person=55.3
bicycle=32.3
car=45.5
motorcycle=45.3
airplane=62.6
bus=64.4
train=63.5
truck=36.4
boat=27.3
traffic light=28.5
fire hydrant=68.2
stop sign=66.1
parking meter=44.9
bench=26.5
bird=34.3
cat=66.2
dog=62.3
horse=58.2
sheep=50.8
cow=55.5
elephant=62.8
bear=67.7
zebra=63.7
giraffe=65.6
backpack=16.3
umbrella=42.6
handbag=16.2
tie=36.6
suitcase=40.4
frisbee=68.6
skis=25.5
snowboard=41.3
sports ball=42.3
kite=41.5
baseball bat=34.7
baseball glove=39.3
skateboard=54.1
surfboard=40.1
tennis racket=51.0
bottle=40.6
wine glass=37.6
cup=44.7
fork=40.5
knife=23.7
spoon=19.9
bowl=41.7
banana=25.9
apple=20.5
sandwich=32.2
orange=30.2
broccoli=21.7
carrot=22.4
hot dog=34.0
pizza=52.3
donut=45.9
cake=39.8
chair=30.0
couch=40.3
potted plant=28.0
bed=41.1
dining table=29.3
toilet=59.8
tv=56.5
laptop=61.8
mouse=61.1
remote=36.1
keyboard=52.6
cell phone=33.8
microwave=58.6
oven=35.5
toaster=29.1
sink=38.4
refrigerator=57.2
book=17.1
clock=50.6
vase=37.4
scissors=32.0
teddy bear=48.0
hair drier=7.2
toothbrush=27.1
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=42.3
[Epoch 23] mAP 42.3 higher than current best [42.2] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 23] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0023_42.3000.params
[Epoch 24] Set learning rate to 0.0002
[Epoch 24][Batch 99], Speed: 25.995 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.108,RCNN_SmoothL1=0.181,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.736
[Epoch 24][Batch 199], Speed: 27.652 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.039,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.179,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 299], Speed: 27.884 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.105,RCNN_SmoothL1=0.179,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 399], Speed: 27.900 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.104,RCNN_SmoothL1=0.178,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 499], Speed: 27.581 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 599], Speed: 27.801 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 699], Speed: 27.799 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 799], Speed: 27.950 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 899], Speed: 27.608 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.735
[Epoch 24][Batch 999], Speed: 27.811 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.254,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1099], Speed: 27.895 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1199], Speed: 27.883 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1299], Speed: 27.875 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1399], Speed: 27.997 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1499], Speed: 27.950 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1599], Speed: 27.751 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1699], Speed: 27.849 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.734
[Epoch 24][Batch 1799], Speed: 27.913 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.733
[Epoch 24][Batch 1899], Speed: 27.830 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.942,RCNNL1Loss=0.733
[Epoch 24][Batch 1999], Speed: 28.005 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.733
[Epoch 24][Batch 2099], Speed: 27.767 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.103,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.733
[Epoch 24][Batch 2199], Speed: 28.013 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.177,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.733
[Epoch 24][Batch 2299], Speed: 27.694 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.733
[Epoch 24][Batch 2399], Speed: 27.820 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.733
[Epoch 24][Batch 2499], Speed: 27.767 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 2599], Speed: 28.022 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 2699], Speed: 27.857 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.038,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 2799], Speed: 28.068 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 2899], Speed: 28.014 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 2999], Speed: 27.822 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 3099], Speed: 27.957 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 3199], Speed: 27.749 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.732
[Epoch 24][Batch 3299], Speed: 27.979 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3399], Speed: 27.977 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3499], Speed: 27.960 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3599], Speed: 27.912 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.253,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3699], Speed: 27.774 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3799], Speed: 28.005 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3899], Speed: 28.044 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 3999], Speed: 27.799 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.731
[Epoch 24][Batch 4099], Speed: 28.066 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4199], Speed: 27.982 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4299], Speed: 27.925 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4399], Speed: 27.872 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4499], Speed: 27.811 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4599], Speed: 26.698 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4699], Speed: 27.922 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.730
[Epoch 24][Batch 4799], Speed: 28.011 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 4899], Speed: 27.953 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 4999], Speed: 28.118 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5099], Speed: 27.994 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5199], Speed: 27.831 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5299], Speed: 27.788 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5399], Speed: 27.669 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5499], Speed: 27.948 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.729
[Epoch 24][Batch 5599], Speed: 27.825 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 5699], Speed: 27.774 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.102,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 5799], Speed: 28.113 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 5899], Speed: 27.667 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 5999], Speed: 27.948 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 6099], Speed: 28.039 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 6199], Speed: 27.818 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.252,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 6299], Speed: 27.867 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.728
[Epoch 24][Batch 6399], Speed: 27.904 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6499], Speed: 27.794 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6599], Speed: 27.773 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6699], Speed: 28.072 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6799], Speed: 27.615 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6899], Speed: 27.680 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 6999], Speed: 28.068 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 7099], Speed: 27.962 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 7199], Speed: 28.016 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.727
[Epoch 24][Batch 7299], Speed: 27.870 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 24] Training cost: 4213.110, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.175
[Epoch 24] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.427
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.641
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.464
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.275
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.460
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.545
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.340
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.545
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.574
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.406
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.608
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.705
person=55.7
bicycle=33.2
car=45.9
motorcycle=46.4
airplane=62.3
bus=66.1
train=64.6
truck=36.6
boat=27.8
traffic light=28.1
fire hydrant=68.3
stop sign=65.8
parking meter=45.6
bench=27.1
bird=35.4
cat=66.8
dog=62.9
horse=58.4
sheep=51.5
cow=56.1
elephant=63.7
bear=68.3
zebra=63.1
giraffe=65.4
backpack=16.2
umbrella=42.2
handbag=16.9
tie=37.0
suitcase=42.1
frisbee=69.2
skis=26.3
snowboard=40.9
sports ball=42.8
kite=41.7
baseball bat=34.9
baseball glove=38.5
skateboard=54.9
surfboard=41.6
tennis racket=51.2
bottle=40.7
wine glass=38.8
cup=44.8
fork=41.6
knife=23.8
spoon=18.8
bowl=42.0
banana=26.5
apple=20.3
sandwich=31.3
orange=30.5
broccoli=20.8
carrot=22.6
hot dog=35.2
pizza=53.5
donut=46.9
cake=40.0
chair=30.2
couch=41.4
potted plant=28.2
bed=40.0
dining table=29.6
toilet=60.5
tv=56.7
laptop=62.1
mouse=60.9
remote=37.3
keyboard=53.2
cell phone=33.3
microwave=57.2
oven=36.9
toaster=29.0
sink=39.4
refrigerator=57.6
book=17.7
clock=50.7
vase=39.5
scissors=30.3
teddy bear=47.3
hair drier=7.3
toothbrush=25.8
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=42.7
[Epoch 24] mAP 42.7 higher than current best [42.3] saving to faster_rcnn_fpn_syncbn_resnest50_coco_best.params
[Epoch 24] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0024_42.7000.params
[Epoch 25][Batch 99], Speed: 25.686 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.101,RCNN_SmoothL1=0.176,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 199], Speed: 27.785 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.987,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 299], Speed: 27.833 samples/sec, RPN_Conf=0.018,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 399], Speed: 27.754 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 499], Speed: 27.840 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.036,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 599], Speed: 27.728 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.175,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.726
[Epoch 25][Batch 699], Speed: 27.956 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 799], Speed: 27.927 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 899], Speed: 27.815 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 999], Speed: 27.964 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 1099], Speed: 27.709 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 1199], Speed: 28.120 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 1299], Speed: 27.889 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.099,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 1399], Speed: 27.897 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.725
[Epoch 25][Batch 1499], Speed: 27.928 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 1599], Speed: 27.632 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 1699], Speed: 27.980 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.251,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 1799], Speed: 27.960 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 1899], Speed: 27.933 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 1999], Speed: 27.869 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 2099], Speed: 27.674 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 2199], Speed: 27.883 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.724
[Epoch 25][Batch 2299], Speed: 26.604 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2399], Speed: 27.992 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2499], Speed: 27.972 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2599], Speed: 27.845 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2699], Speed: 27.759 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2799], Speed: 27.801 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2899], Speed: 27.875 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 2999], Speed: 28.038 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 3099], Speed: 28.044 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.723
[Epoch 25][Batch 3199], Speed: 27.731 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3299], Speed: 27.964 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3399], Speed: 27.852 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3499], Speed: 27.862 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3599], Speed: 27.903 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3699], Speed: 27.840 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3799], Speed: 27.927 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3899], Speed: 27.712 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.173,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.722
[Epoch 25][Batch 3999], Speed: 27.861 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.721
[Epoch 25][Batch 4099], Speed: 28.065 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.721
[Epoch 25][Batch 4199], Speed: 28.026 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.721
[Epoch 25][Batch 4299], Speed: 27.709 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.943,RCNNL1Loss=0.721
[Epoch 25][Batch 4399], Speed: 27.765 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.250,RCNNAcc=0.944,RCNNL1Loss=0.721
[Epoch 25][Batch 4499], Speed: 27.717 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.721
[Epoch 25][Batch 4599], Speed: 27.803 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.721
[Epoch 25][Batch 4699], Speed: 27.796 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.721
[Epoch 25][Batch 4799], Speed: 27.663 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 4899], Speed: 27.765 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 4999], Speed: 27.989 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5099], Speed: 27.745 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5199], Speed: 27.824 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5299], Speed: 27.692 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5399], Speed: 27.757 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5499], Speed: 27.614 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5599], Speed: 27.614 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.720
[Epoch 25][Batch 5699], Speed: 27.572 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 5799], Speed: 27.719 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 5899], Speed: 27.699 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 5999], Speed: 27.692 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 6099], Speed: 27.913 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 6199], Speed: 27.774 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 6299], Speed: 27.941 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 6399], Speed: 27.768 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.719
[Epoch 25][Batch 6499], Speed: 27.853 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 6599], Speed: 27.777 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 6699], Speed: 27.938 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 6799], Speed: 27.926 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 6899], Speed: 27.696 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 6999], Speed: 27.861 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 7099], Speed: 28.087 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 7199], Speed: 27.865 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25][Batch 7299], Speed: 27.729 samples/sec, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174,RPNAcc=0.988,RPNL1Loss=0.249,RCNNAcc=0.944,RCNNL1Loss=0.718
[Epoch 25] Training cost: 4220.718, RPN_Conf=0.017,RPN_SmoothL1=0.037,RCNN_CrossEntropy=0.100,RCNN_SmoothL1=0.174
[Epoch 25] Validation: 
~~~~ Summary metrics ~~~~
=Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.426
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.641
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.462
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.272
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.461
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.547
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.340
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.544
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.574
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.405
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.608
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.704
person=55.6
bicycle=32.6
car=45.6
motorcycle=46.0
airplane=63.1
bus=66.0
train=64.8
truck=36.8
boat=27.8
traffic light=28.2
fire hydrant=67.3
stop sign=65.4
parking meter=45.4
bench=26.5
bird=35.1
cat=67.1
dog=62.5
horse=59.8
sheep=50.5
cow=55.7
elephant=63.4
bear=69.2
zebra=63.2
giraffe=66.8
backpack=16.3
umbrella=41.9
handbag=16.8
tie=36.2
suitcase=42.2
frisbee=67.6
skis=26.4
snowboard=41.2
sports ball=42.8
kite=41.7
baseball bat=36.2
baseball glove=37.9
skateboard=55.2
surfboard=41.6
tennis racket=50.4
bottle=40.1
wine glass=38.1
cup=44.5
fork=40.6
knife=23.6
spoon=19.0
bowl=42.1
banana=26.0
apple=20.4
sandwich=31.7
orange=30.5
broccoli=21.8
carrot=22.5
hot dog=35.5
pizza=53.1
donut=46.4
cake=39.7
chair=30.2
couch=41.1
potted plant=28.6
bed=40.6
dining table=29.6
toilet=60.4
tv=57.2
laptop=61.6
mouse=61.8
remote=37.9
keyboard=53.2
cell phone=33.0
microwave=58.6
oven=36.3
toaster=24.0
sink=38.8
refrigerator=58.5
book=17.1
clock=50.9
vase=38.8
scissors=31.1
teddy bear=47.0
hair drier=10.8
toothbrush=26.7
~~~~ MeanAP @ IoU=[0.50,0.95] ~~~~
=42.6
[Epoch 25] Saving parameters to faster_rcnn_fpn_syncbn_resnest50_coco_0025_42.6000.params