Summary:
Converts the directory specified to use the Ruff formatter in pyfmt
ruff_dog
If this diff causes merge conflicts when rebasing, please run
`hg status -n -0 --change . -I '**/*.{py,pyi}' | xargs -0 arc pyfmt`
on your diff, and amend any changes before rebasing onto latest.
That should help reduce or eliminate any merge conflicts.
allow-large-files
Reviewed By: bottler
Differential Revision: D66472063
fbshipit-source-id: 35841cb397e4f8e066e2159550d2f56b403b1bef
Summary:
Added heterogeneous raysampling to pytorch3d raysampler, different cameras are sampled different number of times.
It now returns RayBundle if heterogeneous raysampling is off and new RayBundleHeterogeneous (with added fields `camera_ids` and `camera_counts`). Heterogeneous raysampling is on if `n_rays_total` is not None.
Reviewed By: bottler
Differential Revision: D39542222
fbshipit-source-id: d3d88d822ec7696e856007c088dc36a1cfa8c625
Summary: Update all FB license strings to the new format.
Reviewed By: patricklabatut
Differential Revision: D33403538
fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
Summary:
- Old NDC convention had xy coords in [-1,1]x[-1,1]
- New NDC convention has xy coords in [-1, 1]x[-u, u] or [-u, u]x[-1, 1]
where u > 1 is the aspect ratio of the image.
This PR fixes the NDC raysampler to use the new convention.
Partial fix for https://github.com/facebookresearch/pytorch3d/issues/868
Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/29
Reviewed By: davnov134
Differential Revision: D31926148
Pulled By: bottler
fbshipit-source-id: c6c42c60d1473b04e60ceb49c8c10951ddf03c74
Summary: In D30349234 (1b8d86a104) we introduced persistent=False to some register_buffer calls, which depend on PyTorch 1.6. We go back to the old behaviour for PyTorch 1.5.
Reviewed By: nikhilaravi
Differential Revision: D30731327
fbshipit-source-id: ab02ef98ee87440ef02479b72f4872b562ab85b5
Summary:
As suggested in #802. By not persisting the _xy_grid buffer, we can allow (in some cases) a model with one image_size to be loaded from a saved model which was trained at a different resolution.
Also avoid persisting _frequencies in HarmonicEmbedding for similar reasons.
BC-break: This will cause load_state_dict, in strict mode, to complain if you try to load an old model with the new code.
Reviewed By: patricklabatut
Differential Revision: D30349234
fbshipit-source-id: d6061d1e51c9f79a78d61a9f732c9a5dfadbbb47
