# Open3D **Repository Path**: masterChief117/Open3D ## Basic Information - **Project Name**: Open3D - **Description**: Open3D: A Modern Library for 3D Data Processing - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-10-11 - **Last Updated**: 2024-06-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

# Open3D: A Modern Library for 3D Data Processing

open3d.org | Documentation | Quick Start | Build from Source | Python API | C++ API | Contribute | Demo

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization. We welcome contributions from the open-source community. ## Core features * 3D data structures * 3D data processing algorithms * Scene reconstruction * Surface alignment * 3D visualization * Python binding ## Supported OSes and compilers * Ubuntu 16.04 or later: GCC 4.9 or later [![Build Status](https://travis-ci.org/intel-isl/Open3D.svg?branch=master)](https://travis-ci.org/intel-isl/Open3D) * macOS: XCode 8.0 or later [![Build Status](https://travis-ci.org/intel-isl/Open3D.svg?branch=master)](https://travis-ci.org/intel-isl/Open3D) * Windows: Visual Studio 2015 update 3 or later [![Build status](https://ci.appveyor.com/api/projects/status/3hasjo041lv6srsi/branch/master?svg=true)](https://ci.appveyor.com/project/yxlao/open3d/branch/master) ## Citation Please cite [our work](https://arxiv.org/abs/1801.09847) if you use Open3D. ``` @article{Zhou2018, author = {Qian-Yi Zhou and Jaesik Park and Vladlen Koltun}, title = {{Open3D}: {A} Modern Library for {3D} Data Processing}, journal = {arXiv:1801.09847}, year = {2018}, } ``` ## Ecosystem * [Open3D-PointNet:](https://github.com/intel-isl/Open3D-PointNet) A fork of PyTorch PointNet for point cloud classification and semantic segmentation compatible with Open3D. * [Open3D-PointNet++:](https://github.com/intel-isl/Open3D-PointNet2-Semantic3D) A re-implementation of PointNet++ using Open3D to enable real-time semantic segmentation of LIDAR point clouds.