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Open3D: A Modern Library for 3D Data Processing.

Project description

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.

If you use Open3D in an academic project, please cite our paper:

@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},
}

Core features

  • 3D data structures

  • 3D data processing algorithms

  • Scene reconstruction

  • Surface alignment

  • 3D visualization

  • Physically based rendering (PBR)

  • 3D machine learning support with PyTorch and TensorFlow

  • GPU acceleration for core 3D operations

  • Available in C++ and Python

Supported platforms

The package has been tested on:

  • Ubuntu 20.04 and 22.04

  • Windows 10 64-bit

  • macOS High Sierra and above

With Python versions:

  • 3.8

  • 3.9

  • 3.10

  • 3.11

  • 3.12

Resources

This wheel only contains CPU functionality. Use the open3d wheel for full functionality.

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open3d_cpu-0.19.0-cp38-cp38-manylinux_2_31_x86_64.whl (99.6 MB view details)

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