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PyTorch, A case for FPS with cuda, Provided an implementation method for kernel density estimation in PyTorch.

License: MIT License

Python 40.74% C++ 23.17% C 2.77% Cuda 33.32%

pointnet2_ops_lib's Introduction

pointnet2_ops_lib

This mainly involves FPS in point cloud processing, as well as kernel density estimation. This code repository primarily focuses on certain functionalities of the 'pointnet2_ops_lib' operator, providing methods for function calls and implementation within the PyTorch framework.

Added a feature pts_cnt to record the number of neighboring points within the spherical radius of the current query point in 'pointnet2_ops_lib\pointnet2_ops_ext-src\src\ball_query.cpp'.

Usage

Requirements

PyTorch >= 1.7.0
python >= 3.7
CUDA >= 9.0
GCC >= 4.9
torchvision

cd pointnet2_ops_lib/
python setup.py install

python FPS_kde.py

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