ddebdfbcd7
Summary: It is common when trying things out to want to move a whole mesh or point cloud by the same amount. Here we allow the offset functions to broadcast. Also add a sanity check to join_meshes_as_scene which it is easy to call wrongly. Reviewed By: nikhilaravi Differential Revision: D25980593 fbshipit-source-id: cdf1568e1317e3b81ad94ed4e608ba7eef81290b
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'.