Summary: Add a notebook demonstrating how to use Pytorch3D to render a textured mesh with the DensePose textures and the SMPL model {F336408690} Reviewed By: nikhilaravi Differential Revision: D23784314 fbshipit-source-id: c92f32fb9b9468eb7ec26bf58dcabb1f26d92e7b
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
!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
!pip install 'git+https://github.com/facebookresearch/pytorch3d.git'
.