Comments (2)
64: nGT 42, recall 1, proposals 35613, loss: x 27.029242, y 28.630236, w 177730.062500, h 1531226.000000, conf 2786.200684, cls 108.162247, class_contrast 0.000000, total 1711906.125000 coord_mask: tensor(27.0292, device='cuda:0') 80: nGT 40, recall 13, proposals 39993, loss: x 23.945053, y 22.210649, w 2029862.625000, h 16542059.000000, conf nan, cls 111.281578, class_contrast 0.000000, total nan coord_mask: tensor(23.9451, device='cuda:0') 96: nGT 30, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 112: nGT 36, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 128: nGT 39, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 144: nGT 54, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan
我也遇到了同样的问题,我想问一下这个问题你解决了吗?
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64: nGT 42, recall 1, proposals 35613, loss: x 27.029242, y 28.630236, w 177730.062500, h 1531226.000000, conf 2786.200684, cls 108.162247, class_contrast 0.000000, total 1711906.125000 coord_mask: tensor(27.0292, device='cuda:0') 80: nGT 40, recall 13, proposals 39993, loss: x 23.945053, y 22.210649, w 2029862.625000, h 16542059.000000, conf nan, cls 111.281578, class_contrast 0.000000, total nan coord_mask: tensor(23.9451, device='cuda:0') 96: nGT 30, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 112: nGT 36, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 128: nGT 39, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan coord_mask: tensor(nan, device='cuda:0') 144: nGT 54, recall 0, proposals 0, loss: x nan, y nan, w nan, h nan, conf nan, cls nan, class_contrast nan, total nan
我也遇到了同样的问题,我想问一下这个问题你解决了吗?
[降低学习率试试,
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Related Issues (20)
- Questions about model size HOT 1
- Questions about nGPU
- Hi Can you provide the t-SNE code? HOT 2
- 能否共享一下t-SNE的代码?并分享一下如何使用。感谢 HOT 2
- Some question about MPSR baseline HOT 4
- About the process datasets
- How many GPUs will be used for training the code? HOT 9
- Feature disturbance applied on both base&novel? HOT 1
- Question about .weights HOT 2
- About the category and confidence after the test
- 前辈 检测结果图中显示类别求指教!
- How long is the model trained by using two Nvidia Tesla V100 GPUs as mentioned in the paper and the github issue?
- How to change the framework from Yolo to Faster R-CNN ? HOT 1
- Where is the code for 'Feature disturbance'
- RuntimeError: shape ‘[30, 5, 6, 13, 13]’ is invalid for input of size 5070 HOT 3
- ModuleNotFoundError: No module named 'core'
- RuntimeError: shape '[64, 15, 845]' is invalid for input of size 1622400 HOT 1
- As the training time increases, Proposals=0, is this normal?
- Problem:Get result If you want to get the result of model, run:
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