We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hey, I would like to know how can one adjust the code for different input dimensions.
It is working for (3,W,H) images; I would like to use IBA for inputs of dimension (4,3,W,H).
So the input to my model are 4 different images with 3 color channels.
One obvious thing is to expand batch to input_t.expand(batch_size, -1, -1, -1, -1) instead of (batch_size, -1,-1,-1). What else should be adapted?
Thanks for your help and great interpretability method!
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hey, I would like to know how can one adjust the code for different input dimensions.
It is working for (3,W,H) images; I would like to use IBA for inputs of dimension (4,3,W,H).
So the input to my model are 4 different images with 3 color channels.
One obvious thing is to expand batch to input_t.expand(batch_size, -1, -1, -1, -1) instead of (batch_size, -1,-1,-1). What else should be adapted?
Thanks for your help and great interpretability method!
The text was updated successfully, but these errors were encountered: