Visualize and manually modify semantic clustering

[ikergf]

Hello,

I was wondering if it is possible to visualize the semantic clustering results of the input images (and the attention maps) as in your paper. I have tried it, but I have not been able to visualize them.

Moreover, I was also thinking about modifying the clustering masks with my own ones so the model could learn to focus on the specified parts, but I'm having some problems. Do you think it is feasible?

[cwhgn]

You can modify the following function to implement the visualization.

SOLIDER/utils.py

Line 658 in b8779cc

def get_mask(features,clsnum):