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

Use COLMAP depth for additional supervised loss #142

Open
SamPlvs opened this issue Nov 21, 2023 · 0 comments
Open

Use COLMAP depth for additional supervised loss #142

SamPlvs opened this issue Nov 21, 2023 · 0 comments

Comments

@SamPlvs
Copy link

SamPlvs commented Nov 21, 2023

Hi, I want to train your ngp model with an additional supervision loss i.e. just the L1 error between the predicted depth maps and the depth maps generated from COLMAP. Is it possible to do this in your current code? if not would highly appreciate any help on how I can implement this
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
1 participant
@SamPlvs