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

Question about large memory usage when calculating chamfer distance with KDTree #6

Open
dc3505 opened this issue Dec 15, 2021 · 1 comment

Comments

@dc3505
Copy link

dc3505 commented Dec 15, 2021

When we try to reproduce the experiment result, it seems we have a peak memory usage when trying to calculate chamfer distance with KDTree. We are using a mesh ~2M with ~50k vertices, but get ~250G memory usage for this and cause a out of memory issue. Is this an expected behavior?
WechatIMG454

Thanks again for your help!

@Zvyozdo4ka
Copy link

how did you set conda env ? i don't get why the documentation always lacks of correct information, maybe it is deliberately, to make it fail others. Here is original environment.yml:
image

I changed it to this:

image

and it is already more 3 hours while:
image

when i installed through pip the libraries from environment.yml, i can't run sample:

image

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