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
Dear author, Thanks for your work.
When I input the feature maps with sizes of [torch.Size([1, 256, 320, 208]), torch.Size([1, 512, 160, 104]), torch.Size([1, 1024, 80, 52]), torch.Size([1, 2048, 40, 26])] into FPT_a.py, i got the following error:
self.bn_reduction(self.str_conv3x3(x_low)) + x_att)
RuntimeError: The size of tensor a (52) must match the size of tensor b (26) at non-singleton dimension 3"
Could you help me with this problem?
The text was updated successfully, but these errors were encountered:
Same error.The resolution of P3 is four times that of P5,however the str_conv3x3 just downsample two times.The resolution is unmatch.Have you deal with it yet?
Dear author, Thanks for your work.
When I input the feature maps with sizes of [torch.Size([1, 256, 320, 208]), torch.Size([1, 512, 160, 104]), torch.Size([1, 1024, 80, 52]), torch.Size([1, 2048, 40, 26])] into FPT_a.py, i got the following error:
self.bn_reduction(self.str_conv3x3(x_low)) + x_att)
RuntimeError: The size of tensor a (52) must match the size of tensor b (26) at non-singleton dimension 3"
Could you help me with this problem?
The text was updated successfully, but these errors were encountered: