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
Can someone help me to understand self.fc = nn.Linear(176, 196) how 176 input feature has been choose in PFLDInference network.
I am trying to train 192x192 image size model but it gave me error while passing image to model (landmarks = pfld_backbone(img)) RuntimeError: mat1 dim 1 must match mat2 dim 0
The text was updated successfully, but these errors were encountered:
Can someone help me to understand
self.fc = nn.Linear(176, 196)
how 176 input feature has been choose in PFLDInference network.I am trying to train 192x192 image size model but it gave me error while passing image to model
(landmarks = pfld_backbone(img))
RuntimeError: mat1 dim 1 must match mat2 dim 0
The text was updated successfully, but these errors were encountered: