custom data normalisation for non-imagenet datasets

Hi, thanks to the authors of this paper and this code for making the effort to share their work with the community.

I am trying to use Dino on a non-imagenet dataset and started to alter the code in this fashion. For details, see main_dino.py and visualize_attention.py in my fork. I am basically trying to get rid of any hard coded magic numbers related to imagenet (if possible).

Drop me a 👍 if you like or need this work. If the feedback is inline with #1, I can send a PR if time permits. Other feedback on this is always welcome - feel free to send PRs to my fork.

[woctezuma]

Maybe create a new issue?

• https://github.com/facebookresearch/dino/issues/80#issuecomment-976028006
• https://github.com/facebookresearch/dino/issues/59#issuecomment-978453417

[Harry-KIT]

Hi @mathildecaron31. Yes i did. You were right. I changed patch_size from 8 to 16. And it works!