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Amitav Baruah a03fd7320f Add plotly visualization examples 
Summary: Add examples of using the Plotly visualization functions to the corresponding tutorial notebooks.

Reviewed By: nikhilaravi

Differential Revision: D23879109

fbshipit-source-id: ea8c45aa6c828eb2f6ea2ae1c8846adc486f92e0
2020-10-01 16:49:19 -07:00
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data
Initial commit
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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
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
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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
Add plotly visualization examples
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render_densepose.ipynb
Add tutorial notebook for rendering densepose
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render_textured_meshes.ipynb
Add plotly visualization examples
2020-10-01 16:49:19 -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'.