Welcome to TensorFlow3d Transforms’s documentation!

TensorFlow3d Transforms is a library to easily make 3D transformations and work with 3D data. This library originally started as a few functions here and there for my own work which I then turned into a library.

TensorFlow3d Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3d Transforms:

• Are implemented using TensorFlow tensors

• Can handle minibatches of hetereogenous data

• Can be differentiated

• Can utilize GPUs for acceleration

Much inspiration for this project is taken from PyTorch3D

Quick Links

• Source: GitHub

• Issue Tracker

Contents:

• Home
• Quickstart
• API Reference
  • Submodules
  • tensorflow3d_transforms.rotation_conversions module
  • tensorflow3d_transforms.so3_ops module
  • tensorflow3d_transforms.version module
  • Module contents

Indices and tables

• Index

• Module Index

• Search Page