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Python visualization library for 3D scenes

Project description

All platforms have good support for 2D images, with well-recognized formats such as PNG and JPEG that can be viewed out of the box (no installation) and shared trivially.

However, while many formats exist for 3D data, none are well-supported without installation of tools such as MeshLab, Blender, etc.

ScenePic was created for 3D computer vision researchers such as those working on HoloLens and Mesh at Microsoft. It was designed to be a lightweight, reuseable 3D visualization library, with the following desiderata in mind:

  • Make experimentation with 3D data near effortless
  • Incredibly easy to create and share 3D results
    • zero-install sharing of detailed 3D results using HTML
    • based on modern web standards so usable with any modern browser (tested in Edge, FireFox and Chrome)
    • embeddable in other HTML documents
  • Performant
    • based on WebGL
  • High quality visuals
  • Works both offline or interactively in client-server setup
  • Simple, clean API
    • friendly Python front-end
    • basic mesh json file format
    • other language front ends easy to add

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