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

Datasets with vastly varying edge counts #23

Closed
mrmoss opened this issue Sep 9, 2019 · 1 comment
Closed

Datasets with vastly varying edge counts #23

mrmoss opened this issue Sep 9, 2019 · 1 comment
Labels

Comments

@mrmoss
Copy link

mrmoss commented Sep 9, 2019

Some of the larger datasets out there (such as Shapenet and ABC) have edge counts ranging from 100's to 100000's.

Do you have any advice on selecting a pool_res and ncf for datasets with this sort of edge count variation? And/or any thoughts on the effect this would have on your research?

@mrmoss mrmoss changed the title Datasets with vast variation of edge counts Datasets with vastly varying edge counts Sep 9, 2019
@ranahanocka
Copy link
Owner

Hi @mrmoss ,

I responded to a similar question in this issue. Basically, I suggest processing the data first. I just posted a very basic script to do this in blender here.

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

No branches or pull requests

2 participants