Cloudcompare
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pointnet | 3,907 | 6 months ago | 174 | other | Python | |||||
| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | ||||||||||
| Awesome Point Cloud Analysis | 3,171 | a year ago | 1 | |||||||
| A list of papers and datasets about point cloud analysis (processing) | ||||||||||
| Cloudcompare | 2,632 | a day ago | 177 | other | C++ | |||||
| CloudCompare main repository | ||||||||||
| 3d Pointcloud | 1,374 | 9 days ago | 2 | Python | ||||||
| Papers and Datasets about Point Cloud. | ||||||||||
| Votenet | 1,357 | a year ago | 71 | mit | Python | |||||
| Deep Hough Voting for 3D Object Detection in Point Clouds | ||||||||||
| Polyscope | 1,341 | 13 hours ago | 60 | mit | C++ | |||||
| A C++ & Python viewer for 3D data like meshes and point clouds | ||||||||||
| Pyntcloud | 1,223 |  | 8 | 2 months ago | 11 | May 27, 2022 | 49 | mit | Python | |
| pyntcloud is a Python library for working with 3D point clouds. | ||||||||||
| Pcl Learning | 957 | 12 days ago | 1 | mit | C++ | |||||
| 🔥PCL（Point Cloud Library）点云库学习记录 | ||||||||||
| Easy3d | 938 | 25 days ago | 6 | gpl-3.0 | C++ | |||||
| A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data | ||||||||||
| 3d Shape Analysis Paper List | 824 | 3 days ago | 2 | Python | ||||||
| A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating). | ||||||||||
CloudCompare
Homepage: https://cloudcompare.org
Introduction
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory).
More on CloudCompare here
Installation
Linux:
- Flathub: https://flathub.org/apps/details/org.cloudcompare.CloudCompare
flatpak install flathub org.cloudcompare.CloudCompare - snapcraft: https://snapcraft.io/cloudcompare
sudo snap install cloudcompare
Compilation
Supports: Windows, Linux, and macOS
Refer to the BUILD.md file for up-to-date information.
Basically, you have to:
- clone this repository
- install mandatory dependencies (OpenGL, etc.) and optional ones if you really need them (mainly to support particular file formats, or for some plugins)
- launch CMake (from the trunk root)
- enjoy!
Contributing to CloudCompare
If you want to help us improve CloudCompare or create a new plugin you can start by reading this guide
Supporting the project
If you want to help us in another way, you can make donations via donorbox Thanks!
