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

Some questions about code details and abnormal phenomenon #39

Closed
Impuuuuuu opened this issue Dec 3, 2021 · 2 comments
Closed

Some questions about code details and abnormal phenomenon #39

Impuuuuuu opened this issue Dec 3, 2021 · 2 comments

Comments

@Impuuuuuu
Copy link

Impuuuuuu commented Dec 3, 2021

Hi, it's very kind of you for releasing the code of the paper, and there are some questions about code details and abnormal phenomenon:

image
image
As is shown in the first image, I am bit confused of the codes in 140-144 lines of ./data/dtu.py. The reference should be the first element of "view_ids", the in codes in 140-144 lines you have put in the last position. Is something wrong with my understanding?

image
And again in the codes in 233-234 lines of ./train_mvs_nerf_pl.py, here appears two notions, tgt and ref. So may I ask what exactly src, ref, and tgt stands for?

Is the "with_depth" option means that we have got the depth map of dataset and we should not activate it if we do not get the depth map?

image
Last qusetion, when I train with my own dataset, nan appears after a few iterations. Have you ever met with the same problem?

Looking forward to your answers. Thanks for your work again.

@apchenstu
Copy link
Owner

Hi, thanks, 1. we define the 'reference view' (mostly used in other papers) to be target view, so we put it at the last, and randomly select 3 views to the source views. 2. please refer to the figure of our pipeline, 3. that's right, 4. oh, I didn't train this model with other datasets, so I don't have much sense on this issue. I think you can try to overfitting on a single scene, I believe this can help you for debugging.

@Impuuuuuu
Copy link
Author

Hi, thanks, 1. we define the 'reference view' (mostly used in other papers) to be target view, so we put it at the last, and randomly select 3 views to the source views. 2. please refer to the figure of our pipeline, 3. that's right, 4. oh, I didn't train this model with other datasets, so I don't have much sense on this issue. I think you can try to overfitting on a single scene, I believe this can help you for debugging.

Thanks for your reply quite a lot!

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