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'm hoping to modify the code in dbal_pytorch.py to work with images that are bigger than those in MNIST (i.e. bigger than 28x28). However, I keep running into errors because the tensors produced from my larger images do not match the dimensions of the CNN provided as an example. Do you know how to adjust that neural network's parameters to accommodate different image sizes (e.g. 1024x1024 or 512x512)?
For context, this is the current CNN being used:
Thank you so much!! This is an incredible library you're using and implementation of the seminal Gal paper, and I hope to use your work in my undergrad senior thesis! I am just having trouble getting your code to work with my data.
The text was updated successfully, but these errors were encountered:
Hi, I'm hoping to modify the code in dbal_pytorch.py to work with images that are bigger than those in MNIST (i.e. bigger than 28x28). However, I keep running into errors because the tensors produced from my larger images do not match the dimensions of the CNN provided as an example. Do you know how to adjust that neural network's parameters to accommodate different image sizes (e.g. 1024x1024 or 512x512)?
For context, this is the current CNN being used:
Thank you so much!! This is an incredible library you're using and implementation of the seminal Gal paper, and I hope to use your work in my undergrad senior thesis! I am just having trouble getting your code to work with my data.
The text was updated successfully, but these errors were encountered: