krrish94 / torch-self-intersection

A "minimal" package to compute self-intersections among various faces within a triangle-mesh.

torch-self-intersection

A "minimal" package to compute self-intersections among various faces within a triangle-mesh.

NOTE: Under development

This package currently provides a "CPU-only" version that can be used from PyTorch. Other enhancements, including a CUDA module, are under development.

Also, we currently do NOT implement a backward method, as this module is primarily intended for benchmarking convenience (i.e., to identify the self-intersections in a mesh generated by a neural network, for example).

Installation instructions

Assuming you have a conda/virtual environment with PyTorch (>=1.3.0) installed, run the following command from the base directory of this repo (i.e., the directory containing this readme).

python setup.py build develop

Usage instructions

A minimal example that uses the CPU version of the self-intersection test is shown below

# TODO: Add this