Introduction

Open3D: A Modern Library for 3D Data Processing

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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.

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Core features of Open3D include:

  • 3D data structures

  • 3D data processing algorithms

  • Scene reconstruction

  • Surface alignment

  • 3D visualization

  • Physically based rendering (PBR)

  • Available in C++ and Python

For more, please visit the Open3D documentation.

Open3D viewer app

Open3D now comes with a standalone 3D viewer app available on Ubuntu and macOS. Please stay tuned for Windows.

You can download Open3D viewer from our release page.


Python quick start

Pre-built pip and conda packages support Ubuntu 18.04+, macOS 10.14+ and Windows 10 (64-bit) with Python 3.5, 3.6, 3.7 and 3.8. If you have other Python versions or operating systems, please compile Open3D from source.

  • To install Open3D with pip:

       $ pip install open3d

To test the latest features in Open3D, download and install the `development version <https://www.open3d.org/docs/latest/getting_started.html#development-version-pip>`_

  • To install Open3D with Conda:

    $ conda install -c open3d-admin open3d

  • To compile Open3D from source:

Test your installation with:

$ python -c "import open3d as o3d"

and follow the tutorials to get started.

C++ quick start

Please refer to compiling from source and Open3D C++ interface.

Communication channels

  • GitHub Issue: bug reports, feature requests, etc.

  • Forum: discussion on the usage of Open3D.

  • Discord Chat: online chats, discussions, and collaboration with other users and developers.

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},
}