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Use a consistent case for PyTorch3D

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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
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4
INSTALL.md
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@@ -5,7 +5,7 @@
### Core library
The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/Pytorch. It is advised to use PyTorch3d with GPU support in order to use all the features.
The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/Pytorch. It is advised to use PyTorch3D with GPU support in order to use all the features.
- Linux or macOS or Windows
- Python ≥ 3.6
@@ -25,7 +25,7 @@ conda install -c conda-forge -c fvcore fvcore
### Tests/Linting and Demos
For developing on top of PyTorch3d or contributing, you will need to run the linter and tests. If you want to run any of the notebook tutorials as `docs/tutorials` you will also need matplotlib.
For developing on top of PyTorch3D or contributing, you will need to run the linter and tests. If you want to run any of the notebook tutorials as `docs/tutorials` you will also need matplotlib.
- scikit-image
- black
- isort