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
Hi, I implement the code, but for the fcn.py on line 145. It says:
"The size of tensor a (44) must match the size of tensor b (45) at non-singleton dimension 2"
I found the score shape is [1, 512, 44, 60] and the x4 shape is [1, 512, 45, 60]
Curious how would that happen?
Thanks
The text was updated successfully, but these errors were encountered:
For some reason, the attribute self.crop of the train dataset instance is reset to False when the validation dataset instance is created. Comment line #44 of init() method of Class CamVidDataset to solve this issue.
For some reason, the attribute self.crop of the train dataset instance is reset to False when the validation dataset instance is created. Comment line #44 of init() method of Class CamVidDataset to solve this issue.
THANKS! after commenting ###self.crop = False,solve this issue. What bad influences will happen to our model?
Hi, I implement the code, but for the fcn.py on line 145. It says:
"The size of tensor a (44) must match the size of tensor b (45) at non-singleton dimension 2"
I found the score shape is [1, 512, 44, 60] and the x4 shape is [1, 512, 45, 60]
Curious how would that happen?
Thanks
The text was updated successfully, but these errors were encountered: