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Amitav Baruah 5d65a0cf8c Rename visualization to vis 
Summary: Importing from pytorch3d.visualization is wordy, so shortened the path to the vis module and updated the relevant imports.

Reviewed By: nikhilaravi

Differential Revision: D24116527

fbshipit-source-id: e0e4da7d48c5afedec07482d7be43362b6822445
2020-10-06 15:55:05 -07:00
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data
Initial commit
2020-01-23 11:53:46 -08:00
utils
Address black + isort fbsource linter warnings
2020-03-29 14:51:02 -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
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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
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fit_textured_mesh.ipynb
tutorial fixes. validate #cameras
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README.md
tutorial fixes from #336. Wheels with cuda10.1.
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render_colored_points.ipynb
Rename visualization to vis
2020-10-06 15:55:05 -07:00
render_densepose.ipynb
Add tutorial notebook for rendering densepose
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render_textured_meshes.ipynb
Rename visualization to vis
2020-10-06 15:55:05 -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'.