Problem about retraining
yaorz97 opened this issue · 0 comments
Amazing work! I tried to retrain the dataset, but the loss function did not converge. Have you ever encountered such a situation ? The log file is shown as follows :
#parameters 37.549191 M
train Epoch: 1 [ 101/9204]focal_coarse: 3.13 recall_coarse: 0.00 precision_coarse: 0.02 loss: 3.13
train Epoch: 1 [ 202/9204]focal_coarse: 2.97 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.97
train Epoch: 1 [ 303/9204]focal_coarse: 2.81 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.81
train Epoch: 1 [ 404/9204]focal_coarse: 2.72 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.72
train Epoch: 1 [ 505/9204]focal_coarse: 2.65 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.65
train Epoch: 1 [ 606/9204]focal_coarse: 2.62 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.62
train Epoch: 1 [ 707/9204]focal_coarse: 2.60 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.60
train Epoch: 1 [ 808/9204]focal_coarse: 2.56 recall_coarse: 0.00 precision_coarse: 0.02 loss: 2.56
train Epoch: 1 [ 909/9204]focal_coarse: 2.53 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.53
train Epoch: 1 [1010/9204]focal_coarse: 2.50 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.50
train Epoch: 1 [1111/9204]focal_coarse: 2.48 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.48
train Epoch: 1 [1212/9204]focal_coarse: 2.46 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.46
train Epoch: 1 [1313/9204]focal_coarse: 2.44 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.44
train Epoch: 1 [1414/9204]focal_coarse: 2.43 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.43
train Epoch: 1 [1515/9204]focal_coarse: 2.42 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.42
train Epoch: 1 [1616/9204]focal_coarse: 2.41 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.41
train Epoch: 1 [1717/9204]focal_coarse: 2.39 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.39
train Epoch: 1 [1818/9204]focal_coarse: 2.38 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.38
train Epoch: 1 [1919/9204]focal_coarse: 2.37 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.37
train Epoch: 1 [2020/9204]focal_coarse: 2.36 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.36
train Epoch: 1 [2121/9204]focal_coarse: 2.35 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.35
train Epoch: 1 [2222/9204]focal_coarse: 2.34 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.34
train Epoch: 1 [2323/9204]focal_coarse: 2.33 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.33
train Epoch: 1 [2424/9204]focal_coarse: 2.32 recall_coarse: 0.00 precision_coarse: 0.03 loss: 2.32
train Epoch: 1 [2525/9204]focal_coarse: 2.31 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.31
train Epoch: 1 [2626/9204]focal_coarse: 2.30 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.30
train Epoch: 1 [2727/9204]focal_coarse: 2.29 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.29
train Epoch: 1 [2828/9204]focal_coarse: 2.28 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.28
train Epoch: 1 [2929/9204]focal_coarse: 2.27 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.27
train Epoch: 1 [3030/9204]focal_coarse: 2.26 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.26
train Epoch: 1 [3131/9204]focal_coarse: 2.26 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.26
train Epoch: 1 [3232/9204]focal_coarse: 2.24 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.24
train Epoch: 1 [3333/9204]focal_coarse: 2.24 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.24
train Epoch: 1 [3434/9204]focal_coarse: 2.23 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.23
train Epoch: 1 [3535/9204]focal_coarse: 2.22 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.22
train Epoch: 1 [3636/9204]focal_coarse: 2.21 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.21
train Epoch: 1 [3737/9204]focal_coarse: 2.20 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.20
train Epoch: 1 [3838/9204]focal_coarse: 2.20 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.20
train Epoch: 1 [3939/9204]focal_coarse: 2.19 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.19
train Epoch: 1 [4040/9204]focal_coarse: 2.18 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.18
train Epoch: 1 [4141/9204]focal_coarse: 2.17 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.17
train Epoch: 1 [4242/9204]focal_coarse: 2.16 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.16
train Epoch: 1 [4343/9204]focal_coarse: 2.15 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.15
train Epoch: 1 [4444/9204]focal_coarse: 2.14 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.14
train Epoch: 1 [4545/9204]focal_coarse: 2.13 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.13
train Epoch: 1 [4646/9204]focal_coarse: 2.13 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.13
train Epoch: 1 [4747/9204]focal_coarse: 2.12 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.12
train Epoch: 1 [4848/9204]focal_coarse: 2.11 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.11
train Epoch: 1 [4949/9204]focal_coarse: 2.10 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.10
train Epoch: 1 [5050/9204]focal_coarse: 2.10 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.10
train Epoch: 1 [5151/9204]focal_coarse: 2.09 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.09
train Epoch: 1 [5252/9204]focal_coarse: 2.08 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.08
train Epoch: 1 [5353/9204]focal_coarse: 2.07 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.07
train Epoch: 1 [5454/9204]focal_coarse: 2.06 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.06
train Epoch: 1 [5555/9204]focal_coarse: 2.05 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.05
train Epoch: 1 [5656/9204]focal_coarse: 2.05 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.05
train Epoch: 1 [5757/9204]focal_coarse: 2.04 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.04
train Epoch: 1 [5858/9204]focal_coarse: 2.04 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.04
train Epoch: 1 [5959/9204]focal_coarse: 2.03 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.03
train Epoch: 1 [6060/9204]focal_coarse: 2.03 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.03
train Epoch: 1 [6161/9204]focal_coarse: 2.02 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.02
train Epoch: 1 [6262/9204]focal_coarse: 2.02 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.02
train Epoch: 1 [6363/9204]focal_coarse: 2.01 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.01
train Epoch: 1 [6464/9204]focal_coarse: 2.01 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.01
train Epoch: 1 [6565/9204]focal_coarse: 2.00 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.00
train Epoch: 1 [6666/9204]focal_coarse: 2.00 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.00
train Epoch: 1 [6767/9204]focal_coarse: 1.99 recall_coarse: 0.00 precision_coarse: 0.10 loss: 1.99
train Epoch: 1 [6868/9204]focal_coarse: 1.99 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.99
train Epoch: 1 [6969/9204]focal_coarse: 1.98 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.98
train Epoch: 1 [7070/9204]focal_coarse: 1.98 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.98
train Epoch: 1 [7171/9204]focal_coarse: 1.97 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.97
train Epoch: 1 [7272/9204]focal_coarse: 1.96 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.96
train Epoch: 1 [7373/9204]focal_coarse: 1.96 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.96
train Epoch: 1 [7474/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [7575/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [7676/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [7777/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [7878/9204]focal_coarse: 1.94 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.94
train Epoch: 1 [7979/9204]focal_coarse: 1.94 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.94
train Epoch: 1 [8080/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8181/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8282/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8383/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8484/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8585/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8686/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8787/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8888/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.95
train Epoch: 1 [8989/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.95
train Epoch: 1 [9090/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.95
train Epoch: 1 [9191/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.95
train Epoch: 1focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.95
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_1.pth
val Epoch: 1focal_coarse: 1.81 recall_coarse: 0.00 precision_coarse: 0.09 loss: 1.81
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_best_loss.pth
train Epoch: 2 [ 101/9204]focal_coarse: 2.00 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.00
train Epoch: 2 [ 202/9204]focal_coarse: 2.05 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.05
train Epoch: 2 [ 303/9204]focal_coarse: 2.08 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.08
train Epoch: 2 [ 404/9204]focal_coarse: 2.06 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.06
train Epoch: 2 [ 505/9204]focal_coarse: 2.01 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.01
train Epoch: 2 [ 606/9204]focal_coarse: 1.96 recall_coarse: 0.00 precision_coarse: 0.09 loss: 1.96
train Epoch: 2 [ 707/9204]focal_coarse: 1.94 recall_coarse: 0.00 precision_coarse: 0.10 loss: 1.94
train Epoch: 2 [ 808/9204]focal_coarse: 1.95 recall_coarse: 0.00 precision_coarse: 0.10 loss: 1.95
train Epoch: 2 [ 909/9204]focal_coarse: 1.93 recall_coarse: 0.00 precision_coarse: 0.10 loss: 1.93
train Epoch: 2 [1010/9204]focal_coarse: 1.92 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.92
train Epoch: 2 [1111/9204]focal_coarse: 1.89 recall_coarse: 0.00 precision_coarse: 0.11 loss: 1.89
train Epoch: 2 [1212/9204]focal_coarse: 1.86 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.86
train Epoch: 2 [1313/9204]focal_coarse: 1.86 recall_coarse: 0.00 precision_coarse: 0.12 loss: 1.86
train Epoch: 2 [1414/9204]focal_coarse: 1.84 recall_coarse: 0.00 precision_coarse: 0.13 loss: 1.84
train Epoch: 2 [1515/9204]focal_coarse: 1.82 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.82
train Epoch: 2 [1616/9204]focal_coarse: 1.81 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.81
train Epoch: 2 [1717/9204]focal_coarse: 1.81 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.81
train Epoch: 2 [1818/9204]focal_coarse: 1.80 recall_coarse: 0.00 precision_coarse: 0.15 loss: 1.80
train Epoch: 2 [1919/9204]focal_coarse: 1.81 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.81
train Epoch: 2 [2020/9204]focal_coarse: 1.81 recall_coarse: 0.00 precision_coarse: 0.15 loss: 1.81
train Epoch: 2 [2121/9204]focal_coarse: 1.85 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.85
train Epoch: 2 [2222/9204]focal_coarse: 1.85 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.85
train Epoch: 2 [2323/9204]focal_coarse: 1.92 recall_coarse: 0.00 precision_coarse: 0.14 loss: 1.92
train Epoch: 2 [2424/9204]focal_coarse: 1.98 recall_coarse: 0.00 precision_coarse: 0.13 loss: 1.98
train Epoch: 2 [2525/9204]focal_coarse: 2.04 recall_coarse: 0.00 precision_coarse: 0.13 loss: 2.04
train Epoch: 2 [2626/9204]focal_coarse: 2.09 recall_coarse: 0.00 precision_coarse: 0.12 loss: 2.09
train Epoch: 2 [2727/9204]focal_coarse: 2.14 recall_coarse: 0.00 precision_coarse: 0.12 loss: 2.14
train Epoch: 2 [2828/9204]focal_coarse: 2.19 recall_coarse: 0.00 precision_coarse: 0.11 loss: 2.19
train Epoch: 2 [2929/9204]focal_coarse: 2.23 recall_coarse: 0.00 precision_coarse: 0.11 loss: 2.23
train Epoch: 2 [3030/9204]focal_coarse: 2.27 recall_coarse: 0.00 precision_coarse: 0.11 loss: 2.27
train Epoch: 2 [3131/9204]focal_coarse: 2.31 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.31
train Epoch: 2 [3232/9204]focal_coarse: 2.35 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.35
train Epoch: 2 [3333/9204]focal_coarse: 2.38 recall_coarse: 0.00 precision_coarse: 0.10 loss: 2.38
train Epoch: 2 [3434/9204]focal_coarse: 2.41 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.41
train Epoch: 2 [3535/9204]focal_coarse: 2.44 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.44
train Epoch: 2 [3636/9204]focal_coarse: 2.47 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.47
train Epoch: 2 [3737/9204]focal_coarse: 2.49 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.49
train Epoch: 2 [3838/9204]focal_coarse: 2.52 recall_coarse: 0.00 precision_coarse: 0.09 loss: 2.52
train Epoch: 2 [3939/9204]focal_coarse: 2.54 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.54
train Epoch: 2 [4040/9204]focal_coarse: 2.57 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.57
train Epoch: 2 [4141/9204]focal_coarse: 2.59 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.59
train Epoch: 2 [4242/9204]focal_coarse: 2.61 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.61
train Epoch: 2 [4343/9204]focal_coarse: 2.63 recall_coarse: 0.00 precision_coarse: 0.08 loss: 2.63
train Epoch: 2 [4444/9204]focal_coarse: 2.65 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.65
train Epoch: 2 [4545/9204]focal_coarse: 2.66 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.66
train Epoch: 2 [4646/9204]focal_coarse: 2.68 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.68
train Epoch: 2 [4747/9204]focal_coarse: 2.70 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.70
train Epoch: 2 [4848/9204]focal_coarse: 2.71 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.71
train Epoch: 2 [4949/9204]focal_coarse: 2.73 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.73
train Epoch: 2 [5050/9204]focal_coarse: 2.74 recall_coarse: 0.00 precision_coarse: 0.07 loss: 2.74
train Epoch: 2 [5151/9204]focal_coarse: 2.76 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.76
train Epoch: 2 [5252/9204]focal_coarse: 2.77 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.77
train Epoch: 2 [5353/9204]focal_coarse: 2.78 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.78
train Epoch: 2 [5454/9204]focal_coarse: 2.80 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.80
train Epoch: 2 [5555/9204]focal_coarse: 2.81 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.81
train Epoch: 2 [5656/9204]focal_coarse: 2.82 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.82
train Epoch: 2 [5757/9204]focal_coarse: 2.83 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.83
train Epoch: 2 [5858/9204]focal_coarse: 2.84 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.84
train Epoch: 2 [5959/9204]focal_coarse: 2.85 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.85
train Epoch: 2 [6060/9204]focal_coarse: 2.86 recall_coarse: 0.00 precision_coarse: 0.06 loss: 2.86
train Epoch: 2 [6161/9204]focal_coarse: 2.87 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.87
train Epoch: 2 [6262/9204]focal_coarse: 2.88 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.88
train Epoch: 2 [6363/9204]focal_coarse: 2.89 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.89
train Epoch: 2 [6464/9204]focal_coarse: 2.90 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.90
train Epoch: 2 [6565/9204]focal_coarse: 2.91 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.91
train Epoch: 2 [6666/9204]focal_coarse: 2.91 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.91
train Epoch: 2 [6767/9204]focal_coarse: 2.92 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.92
train Epoch: 2 [6868/9204]focal_coarse: 2.93 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.93
train Epoch: 2 [6969/9204]focal_coarse: 2.94 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.94
train Epoch: 2 [7070/9204]focal_coarse: 2.94 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.94
train Epoch: 2 [7171/9204]focal_coarse: 2.95 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.95
train Epoch: 2 [7272/9204]focal_coarse: 2.96 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.96
train Epoch: 2 [7373/9204]focal_coarse: 2.97 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.97
train Epoch: 2 [7474/9204]focal_coarse: 2.97 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.97
train Epoch: 2 [7575/9204]focal_coarse: 2.98 recall_coarse: 0.00 precision_coarse: 0.05 loss: 2.98
train Epoch: 2 [7676/9204]focal_coarse: 2.98 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.98
train Epoch: 2 [7777/9204]focal_coarse: 2.99 recall_coarse: 0.00 precision_coarse: 0.04 loss: 2.99
train Epoch: 2 [7878/9204]focal_coarse: 3.00 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.00
train Epoch: 2 [7979/9204]focal_coarse: 3.00 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.00
train Epoch: 2 [8080/9204]focal_coarse: 3.01 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.01
train Epoch: 2 [8181/9204]focal_coarse: 3.01 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.01
train Epoch: 2 [8282/9204]focal_coarse: 3.02 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.02
train Epoch: 2 [8383/9204]focal_coarse: 3.02 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.02
train Epoch: 2 [8484/9204]focal_coarse: 3.03 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.03
train Epoch: 2 [8585/9204]focal_coarse: 3.03 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.03
train Epoch: 2 [8686/9204]focal_coarse: 3.04 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.04
train Epoch: 2 [8787/9204]focal_coarse: 3.04 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.04
train Epoch: 2 [8888/9204]focal_coarse: 3.05 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.05
train Epoch: 2 [8989/9204]focal_coarse: 3.05 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.05
train Epoch: 2 [9090/9204]focal_coarse: 3.06 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.06
train Epoch: 2 [9191/9204]focal_coarse: 3.06 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.06
train Epoch: 2focal_coarse: 3.06 recall_coarse: 0.00 precision_coarse: 0.04 loss: 3.06
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_2.pth
val Epoch: 2focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [ 101/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 3 [ 202/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 3 [ 303/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [ 404/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [ 505/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 3 [ 606/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 3 [ 707/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 3 [ 808/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [ 909/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [1010/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [1111/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 3 [1212/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [1313/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [1414/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [1515/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [1616/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [1717/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [1818/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [1919/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2020/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2121/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2222/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2323/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2424/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2525/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2626/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2727/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2828/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [2929/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3030/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3131/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3232/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3333/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3434/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3535/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3636/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3737/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3838/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [3939/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4040/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4141/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4242/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4343/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4444/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4545/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4646/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4747/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4848/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [4949/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [5050/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [5151/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5252/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5353/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [5454/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 3 [5555/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5656/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5757/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5858/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [5959/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6060/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6161/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6262/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6363/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6464/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6565/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6666/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6767/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6868/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [6969/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7070/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7171/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7272/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7373/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7474/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7575/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7676/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7777/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7878/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [7979/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8080/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8181/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8282/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8383/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8484/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8585/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8686/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8787/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8888/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [8989/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [9090/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3 [9191/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 3focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_3.pth
val Epoch: 3focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 101/9204]focal_coarse: 3.42 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.42
train Epoch: 4 [ 202/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [ 303/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [ 404/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 505/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 606/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 707/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 808/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [ 909/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1010/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1111/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1212/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1313/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1414/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1515/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 4 [1616/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1717/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1818/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [1919/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2020/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2121/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2222/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2323/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2424/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2525/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2626/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2727/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2828/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [2929/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3030/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3131/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3232/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3333/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3434/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3535/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3636/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3737/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3838/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [3939/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4040/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4141/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4242/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4343/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4444/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4545/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4646/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4747/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4848/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [4949/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5050/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5151/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5252/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5353/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5454/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5555/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5656/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5757/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5858/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [5959/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6060/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6161/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6262/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6363/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6464/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6565/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6666/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6767/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 4 [6868/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [6969/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7070/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7171/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7272/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7373/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7474/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7575/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7676/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7777/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7878/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [7979/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8080/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8181/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8282/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8383/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8484/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8585/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8686/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8787/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8888/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [8989/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [9090/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4 [9191/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 4focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_4.pth
val Epoch: 4focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 101/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 202/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 303/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 404/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 505/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 606/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 707/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 808/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [ 909/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1010/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1111/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1212/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1313/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1414/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1515/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1616/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1717/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1818/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [1919/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2020/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2121/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2222/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2323/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2424/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 5 [2525/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [2626/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [2727/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [2828/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [2929/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3030/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3131/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [3232/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3333/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3434/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3535/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3636/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3737/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3838/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 5 [3939/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4040/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4141/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4242/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4343/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4444/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4545/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4646/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4747/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4848/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [4949/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5050/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5151/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5252/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5353/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5454/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5555/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5656/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5757/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5858/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [5959/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6060/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6161/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6262/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6363/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6464/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6565/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6666/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6767/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6868/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [6969/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7070/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7171/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7272/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7373/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7474/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7575/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7676/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7777/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7878/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [7979/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8080/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8181/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8282/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8383/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8484/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8585/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8686/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8787/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8888/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [8989/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [9090/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5 [9191/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 5focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
Save model to experiments/3dmatch-last/2D3D_no_circle_dualmatching/checkpoints/model_5.pth
val Epoch: 5focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [ 101/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 202/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 303/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 404/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 505/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 606/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 707/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 808/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [ 909/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [1010/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [1111/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [1212/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [1313/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [1414/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [1515/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [1616/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [1717/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [1818/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [1919/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [2020/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [2121/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 6 [2222/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 6 [2323/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.44
train Epoch: 6 [2424/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [2525/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [2626/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 6 [2727/9204]focal_coarse: 3.44 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.44
train Epoch: 6 [2828/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [2929/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [3030/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [3131/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [3232/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.01 loss: 3.45
train Epoch: 6 [3333/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3434/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3535/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3636/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3737/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3838/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [3939/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [4040/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [4141/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [4242/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45
train Epoch: 6 [4343/9204]focal_coarse: 3.45 recall_coarse: 0.00 precision_coarse: 0.00 loss: 3.45