Summary: Implements the ascii OFF file format. This was discussed in https://github.com/facebookresearch/pytorch3d/issues/216
Reviewed By: theschnitz
Differential Revision: D25788834
fbshipit-source-id: c141d1f4ba3bad24e3c1f280a20aee782bfd74d6
Summary:
This diff integrates the pulsar renderer source code into PyTorch3D as an alternative backend for the PyTorch3D point renderer. This diff is the first of a series of three diffs to complete that migration and focuses on the packaging and integration of the source code.
For more information about the pulsar backend, see the release notes and the paper (https://arxiv.org/abs/2004.07484). For information on how to use the backend, see the point cloud rendering notebook and the examples in the folder `docs/examples`.
Tasks addressed in the following diffs:
* Add the PyTorch3D interface,
* Add notebook examples and documentation (or adapt the existing ones to feature both interfaces).
Reviewed By: nikhilaravi
Differential Revision: D23947736
fbshipit-source-id: a5e77b53e6750334db22aefa89b4c079cda1b443
Summary:
Updated the load obj function to support creating of a per face texture map using the information in an .mtl file. Uses the approach from in SoftRasterizer.
Currently I have ported in the SoftRasterizer code but this is only to help with comparison and will be deleted before landing. The ShapeNet Test data will also be deleted.
Here is the [Design doc](https://docs.google.com/document/d/1AUcLP4QwVSqlfLAUfbjM9ic5vYn9P54Ha8QbcVXW2eI/edit?usp=sharing).
## Added
- texture atlas creation functions in PyTorch based on the SoftRas cuda implementation
- tests to compare SoftRas vs PyTorch3D implementation to verify it matches (using real shapenet data with meshes consisting of multiple textures)
- benchmarks tests
## Remaining todo:
- add more tests for obj io to test the new functions and the two texturing options
- replace the shapenet data with the output from SoftRas saved as a file.
# MAIN FILES TO REVIEW
- `obj_io.py`
- `test_obj_io.py` [still some tests to be added but have comparisons with SoftRas for now]
The reference SoftRas implementations are in `softras_load_obj.py` and `load_textures.cu`.
Reviewed By: gkioxari
Differential Revision: D20754859
fbshipit-source-id: 42ace9dfb73f26e29d800c763f56d5b66c60c5e2
Summary: Use more realistic number of vertices / faces in benchmarks: in typical meshes, |F| ~ 2 |V| (follows from Euler formula + triangles as faces)
Reviewed By: nikhilaravi
Differential Revision: D20390722
fbshipit-source-id: d615e5810d6f4521391963b2573497c08a58db80
Summary:
Rename mesh I/O benchmarks and associated methods:
- add `simple` qualifier (benchmark on more realistic mesh data to be added later)
- align naming between OBJ and PLY
- prefix with `bm_` to make the benchmarking purpose clear(er)
Reviewed By: nikhilaravi
Differential Revision: D20390764
fbshipit-source-id: 7714520abfcfe1125067f3c52f7ce19bca359574
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
