423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-08-22 13:52:49 +08:00
Code Issues Packages Projects Releases Wiki Activity
pytorch3d/docs/tutorials
History
Jeremy Reizenstein c49ebad249 tutorial fix: add visdom 
Summary: need to pip install visdom in new volumes tutorial.

Reviewed By: kjchalup

Differential Revision: D38501905

fbshipit-source-id: 534bf097e41f05b3389e9420e6dd2b61a4517861
2022-08-09 20:48:51 -07:00
..
data
provide cow dataset
2022-08-01 01:52:12 -07:00
utils
provide cow dataset
2022-08-01 01:52:12 -07:00
bundle_adjustment.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
camera_position_optimization_with_differentiable_rendering.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
dataloaders_ShapeNetCore_R2N2.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
deform_source_mesh_to_target_mesh.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
fit_simple_neural_radiance_field.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
fit_textured_mesh.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
fit_textured_volume.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
implicitron_config_system.ipynb
config system tutorial
2022-08-04 13:24:15 -07:00
implicitron_volumes.ipynb
tutorial fix: add visdom
2022-08-09 20:48:51 -07:00
README.md
update notebooks for s3 wheels
2021-02-05 05:52:36 -08:00
render_colored_points.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
render_densepose.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -07:00
render_textured_meshes.ipynb
update notebooks for 0.7.0
2022-08-09 17:52:37 -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'.