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imlixinyang 2ee11c7845 Update generate_cow_renders.py (#529) 
Summary:
Typo fixed.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/529

Reviewed By: bottler

Differential Revision: D26008651

Pulled By: nikhilaravi

fbshipit-source-id: 76d5baadba7bcd3577397adb842e964ee4490b7d
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utils
Update generate_cow_renders.py (#529)
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bundle_adjustment.ipynb
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camera_position_optimization_with_differentiable_rendering.ipynb
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fit_simple_neural_radiance_field.ipynb
Tutorial - Fit neural radiance field
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Tutorial - Fit textured volume.
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README.md
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README.md

Tutorial notebooks

For current versions of the tutorials, which correspond to the latest release, please look at this directory at the stable tag, namely at https://github.com/facebookresearch/pytorch3d/tree/stable/docs/tutorials .

There are links at the project homepage for opening these directly in colab.

They install torch, torchvision and PyTorch3D from pip, which should work with the CUDA 10.1 inside a GPU colab notebook. If you need to install PyTorch3D from source inside colab, you can use

import os
!curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
!tar xzf 1.10.0.tar.gz
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
!pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'`

instead.

The versions of these tutorials on the main branch may need to use the latest PyTorch3D from the main branch. You may be able to install this from source with the same commands as above, but replacing the last line with !pip install 'git+https://github.com/facebookresearch/pytorch3d.git'.