Error in test_10crop.py while training with C3D features about rtfm HOT 1 CLOSED

I'm training on the UCF Crime dataset based on the C3D features. While running main.py, initially test.py is called and the size of the dataloader.dataset argument that is passed is (266, 32, 4096) and this is resulting in error. I think this is because the code is iterating on the dataloader and each item doesn't have 4 dimensions to permute.

Traceback (most recent call last): File "main.py", line 45, in <module> auc = test(test_loader, model, args, viz, device) File "/home/yggdrasil/WorkingDirectory/FinalYearProject/RTFM/test_10crop.py", line 13, in test input = input.permute(0,2,1,3) RuntimeError: number of dims don't match in permute

BTW all my features are of dimension 1*32*4096 per video. And the batch size argument passed in option.py is 32. What do I need to do to solve this?

Please use the 10 crop I3D features for UCF-Crime. Then you will have something like (266, 10, 32, 4096).

from rtfm.