Inaccurate Results with PAM Pre-Trained Weights in demo.py

[Keerthana-chinta]

Hello,

I am experiencing issues with the accuracy of the results when using the PAM pre-trained weights while running demo.py. Despite following the instructions and loading the PAM pre-trained weights (pam_net_F.pth and pam_net_A.pth), the output does not seem to reflect the expected performance. Could you please verify whether the pre-trained weights are compatible with the current implementation in demo.py? Are there any known issues or additional steps required to get accurate results with the PAM pre-trained weights? Any guidance on improving the accuracy or resolving this issue would be greatly appreciated.
Thank you for your support and for providing this valuable resource to the community!

[ravmarcinMT]

I tested the pam_net_F.pth and pam_net_A.pth in PAM pre-trained folder, and find out that the scores suggest that they are not pre-trained (or are very early checkpoint). I got the recall 5.6%. I assume that you must retrain the model using instructions from README