Summary: Move this simple layer from the NeRF project into pytorch3d.
Reviewed By: shapovalov
Differential Revision: D34126972
fbshipit-source-id: a9c6d6c3c1b662c1b844ea5d1b982007d4df83e6
Summary: Implements a utility function to convert from 2D coordinates in Pytorch3D NDC space to the coordinates in grid_sample.
Reviewed By: shapovalov
Differential Revision: D33741394
fbshipit-source-id: 88981653356588fe646e6dea48fe7f7298738437
Summary: Update all FB license strings to the new format.
Reviewed By: patricklabatut
Differential Revision: D33403538
fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
Summary:
Context: in the code we are releasing with CO3D dataset, we use `cuda()` on TensorProperties like Pointclouds and Cameras where we recursively move batch to a GPU. It would be good to push it to a release so we don’t need to depend on the nightly build.
Additionally, I aligned the logic of `.to("cuda")` without device index to the one of `torch.Tensor` where the current device is populated to index. It should not affect any actual use cases but some tests had to be changed.
Reviewed By: bottler
Differential Revision: D29659529
fbshipit-source-id: abe58aeaca14bacc68da3e6cf5ae07df3353e3ce
Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase.
Reviewed By: nikhilaravi
Differential Revision: D20095778
fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
Summary:
Updates to the Renderer to enable barycentric clipping. This is important when there is blurring in the rasterization step.
Also added support for flat shading.
Reviewed By: jcjohnson
Differential Revision: D19934259
fbshipit-source-id: 036e48636cd80d28a04405d7a29fcc71a2982904
