Use a consistent case for PyTorch3D

Summary: Use a consistent case for PyTorch3D (matching the logo...): replace all occurrences of PyTorch3d with PyTorch3D across the codebase (including documentation and notebooks)

Reviewed By: wanyenlo, gkioxari

Differential Revision: D20427546

fbshipit-source-id: 8c7697f51434c51e99b7fe271935932c72a1d9b9
This commit is contained in:
Patrick Labatut
2020-03-17 12:45:38 -07:00
committed by Facebook GitHub Bot
parent 5d3cc3569a
commit 25d2e2c8b7
20 changed files with 54 additions and 54 deletions

View File

@@ -1,10 +1,10 @@
---
hide_title: true
sidebar_label: Why PyTorch3d
sidebar_label: Why PyTorch3D
---
# Why PyTorch3d
# Why PyTorch3D
Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as [Mesh R-CNN](https://github.com/facebookresearch/meshrcnn) and [C3DPO](https://github.com/facebookresearch/c3dpo_nrsfm), we encountered several challenges including 3D data representation, batching, and speed. We have developed many useful operators and abstractions for working on 3D deep learning and want to share this with the community to drive novel research in this area.