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Thanks for your work!
when I train:
python main.py --train --frames 9 or more
The assertionError is as follows:
“
Traceback (most recent call last):
File "main.py", line 139, in
loss = train(opt, actions, train_dataloader, model, optimizer, epoch)
File "main.py", line 25, in train
return step('train', opt, actions, train_loader, model, optimizer, epoch)
File "main.py", line 48, in step
loss = mpjpe_cal(output_3D, out_target)
File "/root/autodl-tmp/DC-GCT/common/utils.py", line 21, in mpjpe_cal
assert predicted.shape == target.shape
AssertionError
”
How should I handle it?Thanks!
The text was updated successfully, but these errors were encountered:
Sorry, we do not provide multi-frame training for the time being. But for your problem, you can download our latest version again, we are using weighted_mpjpe loss function. You can also comment out the line 'assert predict.shape == target.shape', which might solve your confusion.
Thanks for your work!
when I train:
python main.py --train --frames 9 or more
The assertionError is as follows:
“
Traceback (most recent call last):
File "main.py", line 139, in
loss = train(opt, actions, train_dataloader, model, optimizer, epoch)
File "main.py", line 25, in train
return step('train', opt, actions, train_loader, model, optimizer, epoch)
File "main.py", line 48, in step
loss = mpjpe_cal(output_3D, out_target)
File "/root/autodl-tmp/DC-GCT/common/utils.py", line 21, in mpjpe_cal
assert predicted.shape == target.shape
AssertionError
”
How should I handle it?Thanks!
The text was updated successfully, but these errors were encountered: