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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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18
README.md
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@@ -5,7 +5,7 @@
# Introduction
PyTorch3d provides efficient, reusable components for 3D Computer Vision research with [PyTorch](https://pytorch.org).
PyTorch3D provides efficient, reusable components for 3D Computer Vision research with [PyTorch](https://pytorch.org).
Key features include:
@@ -13,15 +13,15 @@ Key features include:
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer
PyTorch3d is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
For this reason, all operators in PyTorch3d:
PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
For this reason, all operators in PyTorch3D:
- Are implemented using PyTorch tensors
- Can handle minibatches of hetereogenous data
- Can be differentiated
- Can utilize GPUs for acceleration
Within FAIR, PyTorch3d has been used to power research projects such as [Mesh R-CNN](https://arxiv.org/abs/1906.02739).
Within FAIR, PyTorch3D has been used to power research projects such as [Mesh R-CNN](https://arxiv.org/abs/1906.02739).
## Installation
@@ -29,11 +29,11 @@ For detailed instructions refer to [INSTALL.md](INSTALL.md).
## License
PyTorch3d is released under the [BSD-3-Clause License](LICENSE).
PyTorch3D is released under the [BSD-3-Clause License](LICENSE).
## Tutorials
Get started with PyTorch3d by trying one of the tutorial notebooks.
Get started with PyTorch3D by trying one of the tutorial notebooks.
|<img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/.github/dolphin_deform.gif" width="310"/>|<img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/.github/bundle_adjust.gif" width="310"/>|
|:-----------------------------------------------------------------------------------------------------------:|:--------------------------------------------------:|
@@ -45,7 +45,7 @@ Get started with PyTorch3d by trying one of the tutorial notebooks.
## Documentation
Learn more about the API by reading the PyTorch3d [documentation](https://pytorch3d.readthedocs.org/).
Learn more about the API by reading the PyTorch3D [documentation](https://pytorch3d.readthedocs.org/).
We also have deep dive notes on several API components:
@@ -60,11 +60,11 @@ We welcome new contributions to Pytorch3d and we will be actively maintaining th
## Contributors
PyTorch3d is written and maintained by the Facebook AI Research Computer Vision Team.
PyTorch3D is written and maintained by the Facebook AI Research Computer Vision Team.
## Citation
If you find PyTorch3d useful in your research, please cite:
If you find PyTorch3D useful in your research, please cite:
```bibtex
@misc{ravi2020pytorch3d,