You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 :
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
The text was updated successfully, but these errors were encountered: