Code for Google's ViT and complete example

[Sayak Paul]

Hi @jacobgil!

Thank you for this amazing piece of work. I was wondering if you plan to open-source the code to try out your experiments on Google's ViT (An Image is Worth ...) as well. If it's already there inside the repo, could you point me to it?

Update: I was able to use timm and make use of the ViT model it comes with:

timm_vit_model = timm.create_model('vit_large_patch16_384', pretrained=True)
timm_vit_model.eval()
roller = VITAttentionGradRollout(timm_vit_model, discard_ratio=0.9)
mask = roller(x.unsqueeze(0), label_idx)

However, I am still a bit unsure as to how to actually visualize the mask. Could you help?

[Jacob Gildenblat]

Hi,
In vit_explain.py there is an example.
Once you have the mask you can do
mask = show_mask_on_image(img, mask).

Did it work out?

[Sayak Paul]

It does thanks.