Point cloud
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
#计算机科学#Open3D: A Modern Library for 3D Data Processing
#计算机科学#A resource repository for 3D machine learning
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代面向3D检测的平台. 它是 OpenMMlab 项目的一部分，这个项目由香港中文大学多媒体实验室和商汤科技联合发起.
#算法刷题#The public CGAL repository, see the README below
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
The open source mesh processing system
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
open Multi-View Stereo reconstruction library
#Awesome#Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
#计算机科学#PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
User-friendly, commercial-grade software for processing aerial imagery. ✈️
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
#数据仓库#Papers and Datasets about Point Cloud.
#计算机科学#Pytorch framework for doing deep learning on point clouds.
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)