Jeremy Reizenstein 67778caee8 avoid deprecated raysamplers
Summary: Migrate away from NDCGridRaysampler and GridRaysampler to their more flexible replacements.

Reviewed By: patricklabatut

Differential Revision: D33281584

fbshipit-source-id: 65f8702e700a32d38f7cd6bda3924bb1707a0633
2022-01-24 10:52:23 -08:00
..
2021-06-22 03:45:27 -07:00
2022-01-04 11:43:38 -08:00
2021-02-05 05:52:36 -08:00

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 PyTorch3D from pip, which should work 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'.