semvec/pypi-packages huggingface dataset:
open3d 0.19.0
Open3D: A Modern Library for 3D Data Processing.
License: MIT
Requires Python: >=3.8
Keywords: 3D reconstruction point cloud mesh RGB-D visualization

.. _introduction:

About This Project
#######################

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
======================

* Website: `www.open3d.org <https://www.open3d.org>`_
* Code: `github.com/isl-org/Open3D <https://github.com/isl-org/Open3D>`_
* Documentation: `www.open3d.org/docs <https://www.open3d.org/docs>`_
* License: `The MIT license <https://opensource.org/licenses/MIT>`_
open3d-cpu 0.19.0
Open3D: A Modern Library for 3D Data Processing.
License: MIT
Requires Python: >=3.8
Keywords: 3D reconstruction point cloud mesh RGB-D visualization

.. _introduction:

About This Project
#######################

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
======================

* Website: `www.open3d.org <https://www.open3d.org>`_
* Code: `github.com/isl-org/Open3D <https://github.com/isl-org/Open3D>`_
* Documentation: `www.open3d.org/docs <https://www.open3d.org/docs>`_
* License: `The MIT license <https://opensource.org/licenses/MIT>`_


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