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.

Sign up for GitHub

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

Jump to bottom

Question about train and test strategy #79

Closed
yufeng9819 opened this issue Oct 9, 2022 · 2 comments
Closed

Question about train and test strategy #79

yufeng9819 opened this issue Oct 9, 2022 · 2 comments

Comments

@yufeng9819
Copy link

Hi! Sorry for disturb you again.

I want to ask questions about train and test strategy. In your code, you set opt.shapenet13==True. So does it means that you first train your network on all categories and then test on each class to get the experiment metrics data of every single class.

Looking forward to your reply!
@ThibaultGROUEIX
Copy link
Owner

We train on all categories at once for the results in the main paper.
Best regards,
Thibault

@ThibaultGROUEIX
Copy link
Owner

Closing this since the issue is stale, feel free to reopen. Thanks a lot for for playing around with AtlasNet.
Cheers,
Thibault

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@ThibaultGROUEIX @yufeng9819