Skip to content
New issue

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

Mask loss is 0.0 and overall loss doesnt converge && what is relevance of dt_num_classes ? #84

Open
Raj-08 opened this issue Jan 12, 2022 · 2 comments

Comments

@Raj-08
Copy link

Raj-08 commented Jan 12, 2022

Hi ,
I am training segfix model and my mask loss is 0.0 for most of iterations. Also the loss doesnt converge.

Another question i have is what is relevance of dt_num_classes? is it related to the actual total number of classes?

@xiamibudayang
Copy link

hello, I am training segfix model too and I also meet the seem problem as the same as you. Have you find the answer now?
Thanks

@Raj-08
Copy link
Author

Raj-08 commented May 14, 2022

Yes , the problem lies in your creation of direction maps . Visualise them and see if it makes sense as per the direction maps shown in research paper.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants