Summary:
Renamed shaders to be prefixed with Hard/Soft depending on if they use a probabalistic blending (Soft) or use the closest face (Hard).
There is some code duplication but I thought it would be cleaner to have separate shaders for each task rather than:
- inheritance (which we discussed previously that we want to avoid)
- boolean (hard/soft) or a string (hard/soft) - new blending functions other than the ones provided would need if statements in the current shaders which might get messy.
Also added a `flat_shading` function and a `FlatShader` - I could make this into a tutorial as it was really easy to add a new shader and it might be a nice showcase.
NOTE: There are a few more places where the naming will need to change (e.g the tutorials) but I wanted to reach a consensus on this before changing it everywhere.
Reviewed By: jcjohnson
Differential Revision: D19761036
fbshipit-source-id: f972f6530c7f66dc5550b0284c191abc4a7f6fc4
Summary:
Create the textures and the Meshes object from OBJ files in a single call.
There is functionality in OBJ files (like normals) which is ignored by this function.
Reviewed By: gkioxari
Differential Revision: D19691699
fbshipit-source-id: e26442ed80ff231b65b17d6c54c9d41e22b4e4a3
Summary:
Update all colab notebooks to:
- Install pytorch3d using pip install from github.
- Retrieve data using `wget`. I set the wget commands to save the files in the same directory structure as in the PyTorch3d repo so that the rest of the tutorial would work for running locally or on Colab.
This should resolve the issues on GitHub with running the colab notebooks.
Reviewed By: gkioxari
Differential Revision: D19827450
fbshipit-source-id: d7b338597ddfd9a84c24592d4dccd274cae11d05
Summary:
Set up landing page, docs page, and html versions of the ipython notebook tutorials.
Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/11
Reviewed By: gkioxari
Differential Revision: D19730380
Pulled By: nikhilaravi
fbshipit-source-id: 5df8d3f2ac2f8dce4d51f5d14fc336508c2fd0ea
