oom with larger marching cubes resolutions

Question

oom with larger marching cubes resolutions

kampelmuehler opened this issue 3 years ago · 2 comments

kampelmuehler commented 3 years ago

Hi,

with --MC 512 the dense array at

https://github.com/cvlab-epfl/MeshUDF/blob/main/optimize_chamfer_A_to_B.py#L264

needs over 100 GB in memory and causes the execution to fail. Of course it works with `--no_smooth_borders``.

Answer 1 · 2022-02-13T12:10:01.000Z

I also met this problem. How did you resolve it finally ?

Answer 2 · 2022-02-14T09:40:47.000Z

Hello, and thanks for pointing this out. This happens when smoothing border vertices on CPU. As pointed out by @kampelmuehler, a quick way to solve it is to disable border smoothing with --no_smooth_borders.
I've otherwise pushed a version using a sparse array instead, which should be more memory-friendly. Feel free to try it out and comment!