423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-08-02 03:42:50 +08:00
Code Issues Packages Projects Releases Wiki Activity
pytorch3d/docs/tutorials
History
Jeremy Reizenstein 928efdd640 fix camera plot for new matplotlib 
Summary: fixes https://github.com/facebookresearch/pytorch3d/issues/1554 , needed for Matplotlib 3.6+

Reviewed By: patricklabatut

Differential Revision: D46438822

fbshipit-source-id: f3c06ad5d8e881a635edd14f96d498dca73c169f
2023-06-07 05:10:10 -07:00
..
data
provide cow dataset
2022-08-01 01:52:12 -07:00
utils
fix camera plot for new matplotlib
2023-06-07 05:10:10 -07:00
bundle_adjustment.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
camera_position_optimization_with_differentiable_rendering.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
dataloaders_ShapeNetCore_R2N2.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
deform_source_mesh_to_target_mesh.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
fit_simple_neural_radiance_field.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
fit_textured_mesh.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
fit_textured_volume.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
implicitron_config_system.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
implicitron_volumes.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
README.md
update notebooks for s3 wheels
2021-02-05 05:52:36 -08:00
render_colored_points.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
render_densepose.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -07:00
render_textured_meshes.ipynb
update notebooks for 0.7.3
2023-04-04 07:48:02 -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 PyTorch3D from pip, which should work 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'.