robust-laplacians-py
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nmwsharp
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
Hi, thank you for sharing the nice work! I was trying to construct the laplacian from the point clouds. However, it some times raise RuntimeError that `GC_SAFETY_ASSERT FAILURE from /tmp/pip-req-build-hgag1o29/deps/geometry-central/src/surface/surface_mesh.cpp:139...
Hi, Thanks for your wonderful contribution! In your paper: [A Laplacian for Nonmanifold Triangle Meshes], you mentioned the method to build mesh Laplacian with cotangent weights. But I would like...
Hey, I really appreciate your work with that library. I have a small issue (or lack of understanding) however: In the readme of the library there is the following state:...
Hi, I am running the sample, and the error occured: ``` L, M = robust_laplacian.point_cloud_laplacian(points) AttributeError: module 'robust_laplacian' has no attribute 'point_cloud_laplacian' ``` The code is attached: ``` ` import...
robust_laplacian_test.py::TestCore::test_mesh_laplacian Windows fatal exception: access violation Current thread 0x00002a40 (most recent call first): File "D:\app files\pycharmfiles\robust-laplacians-py\src\robust_laplacian\core.py", line 19 in mesh_laplacian File "D:\app files\pycharmfiles\robust-laplacians-py\test\robust_laplacian_test.py", line 48 in test_mesh_laplacian File "D:\application\python\lib\unittest\case.py", line...
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 2 to 4.1.7. Release notes Sourced from actions/download-artifact's releases. v4.1.7 What's Changed Update @actions/artifact dependency by @bethanyj28 in actions/download-artifact#325 Full Changelog: https://github.com/actions/download-artifact/compare/v4.1.6...v4.1.7 v4.1.6 What's Changed updating @actions/artifact...
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Hi, I'm trying to test a `robust_laplacian.point_cloud_laplacian()` function on the Stanford bunny model. However, the Jupyter kernel crashes for some reason. Does anyone know what is a potential cause? My...
> With numpy>=2.0 the seg fault would occur, but downgrading to numpy==1.26.4 resolved the issue.
Previously this precluded the usage of tracked arrays, which are output from trimesh. Just a small convenience for the user to not have to convert it to a numpy array.
