423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-08-23 22:32:51 +08:00
Code Issues Packages Projects Releases Wiki Activity
pytorch3d/docs/tutorials
History
Amitav Baruah 2084160b16 Remove duplicate imports in DensePose tutorial 
Summary: We were importing torch, torchvision, PyTorch3D, and sys twice. This is just removing the duplicate (unneeded) imports

Reviewed By: theschnitz

Differential Revision: D24479270

fbshipit-source-id: 1048732f65242eb776c3eef537cb1ae58815c1eb
2020-10-22 12:10:40 -07:00
..
data
Initial commit
2020-01-23 11:53:46 -08:00
utils
Render PyTorch3d cameras in plotly
2020-10-20 17:16:17 -07:00
bundle_adjustment.ipynb
tutorial fixes. validate #cameras
2020-08-26 08:27:53 -07:00
camera_position_optimization_with_differentiable_rendering.ipynb
Correctly create reference image silhouette
2020-09-10 12:55:32 -07:00
dataloaders_ShapeNetCore_R2N2.ipynb
tutorial fixes. validate #cameras
2020-08-26 08:27:53 -07:00
deform_source_mesh_to_target_mesh.ipynb
tutorial fixes. validate #cameras
2020-08-26 08:27:53 -07:00
fit_textured_mesh.ipynb
tutorial fixes. validate #cameras
2020-08-26 08:27:53 -07:00
README.md
tutorial fixes from #336. Wheels with cuda10.1.
2020-08-25 13:11:10 -07:00
render_colored_points.ipynb
Update tutorials to reflect plotly refactor
2020-10-20 17:16:17 -07:00
render_densepose.ipynb
Remove duplicate imports in DensePose tutorial
2020-10-22 12:10:40 -07:00
render_textured_meshes.ipynb
Update tutorials to reflect plotly refactor
2020-10-20 17:16:17 -07:00

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 !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'.