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Open3D: A Modern Library for 3D Data Processing

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Open3D: A Modern Library for 3D Data Processing

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
  • macOS: XCode 8.0 or later Build Status
  • Windows: Visual Studio 2015 update 3 or later Build status

Citation

Please cite our work 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: A fork of PyTorch PointNet for point cloud classification and semantic segmentation compatible with Open3D.
  • Open3D-PointNet++: A re-implementation of PointNet++ using Open3D to enable real-time semantic segmentation of LIDAR point clouds.

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Open3D: A Modern Library for 3D Data Processing

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  • C++ 93.9%
  • C 1.7%
  • CMake 1.6%
  • Shell 1.2%
  • Python 1.0%
  • JavaScript 0.4%
  • Other 0.2%