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The Wayback Machine - https://web.archive.org/web/20200728074553/https://github.com/topics/point-cloud
Here are
561 public repositories
matching this topic...
A resource repository for 3D machine learning
Point Cloud Library (PCL)
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.
Open3D: A Modern Library for 3D Data Processing
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Updated
Dec 16, 2019
Python
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Updated
Jul 27, 2020
Python
The public CGAL repository, see the README below
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Updated
May 16, 2020
Python
The open source mesh processing system
CloudCompare main repository
open Multi-View Stereo reconstruction library
User-friendly, commercial grade software for processing aerial imagery. 🛩
Updated
Jul 27, 2020
JavaScript
📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Updated
May 7, 2020
Python
Frustum PointNets for 3D Object Detection from RGB-D Data
Updated
Mar 24, 2020
Python
Deep Hough Voting for 3D Object Detection in Point Clouds
Updated
Feb 24, 2020
Python
Tools for professional robotic development in C++ and Python with a touch of autonomous driving and aerospace
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Updated
Jul 24, 2020
Python
Specification for streaming massive heterogeneous 3D geospatial datasets 🌎
Updated
Jul 15, 2020
Batchfile
A general 3D object detection codebse.
Updated
Jul 3, 2020
Python
3D LIDAR-based Graph SLAM
Point cloud importer & renderer for Unity
PyTorch implementation of Pointnet2/Pointnet++
Updated
Jun 18, 2020
Python
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Pytorch framework for doing deep learning on point clouds.
Updated
Jul 27, 2020
Python
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Updated
Jul 1, 2020
Python
A lean C++ library for working with point cloud data
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