Thank you for opening the wonderful codes of ENet for us.
When I try to select the "test" mode , the result is like this:
Avg. loss: 13.1708 | Mean IoU: nan
unlabeled: nan
road: nan
sidewalk: nan
building: nan
wall: nan
...
And all the IoUs are nan.
However, when I choose to train the ENet model, the mIoU is normal, but I am sure that the project uses the same iou.py and confusionmatrix.py.
Would you like to explain the reason for me? Thank you very much!
Thank you for opening the wonderful codes of ENet for us. When I try to select the "test" mode , the result is like this:
Avg. loss: 13.1708 | Mean IoU: nan unlabeled: nan road: nan sidewalk: nan building: nan wall: nan ...
And all the IoUs are nan. However, when I choose to train the ENet model, the mIoU is normal, but I am sure that the project uses the same iou.py and confusionmatrix.py. Would you like to explain the reason for me? Thank you very much!