GitLab

Summary: New MultinomialRaysampler succeeds GridRaysampler bringing masking and subsampling. Correspondingly, NDCMultinomialRaysampler succeeds NDCGridRaysampler.

Reviewed By: nikhilaravi, shapovalov

Differential Revision: D33256897

fbshipit-source-id: cd80ec6f35b110d1d20a75c62f4e889ba8fa5d45

Summary: Add --no-cache and --no-index to all commands which try to download wheels from S3, to avoid hitting pypi.

Reviewed By: nikhilaravi

Differential Revision: D33507975

fbshipit-source-id: ee796e43cc1864e475cd73c248e9900487012f25

Summary: Fix https://github.com/facebookresearch/pytorch3d/issues/1021 that cameras_from_opencv_projection always creates on CPU.

Reviewed By: nikhilaravi

Differential Revision: D33508211

fbshipit-source-id: fadebd45cacafd633af6a58094cf6f654529992c

Summary:
Function to join a list of cameras objects into a single batched object.

FB: In the next diff I will remove the `concatenate_cameras` function in implicitron and update the callsites.

Reviewed By: nikhilaravi

Differential Revision: D33198209

fbshipit-source-id: 0c9f5f5df498a0def9dba756c984e6a946618158

Summary:
convert_to_tensors_and_broadcast had a special case for a single input, which is not used anywhere except fails to do the right thing if a TensorProperties has only one kwarg. At the moment AmbientLights may be the only way to hit the problem. Fix by removing the special case.

Fixes https://github.com/facebookresearch/pytorch3d/issues/1043

Reviewed By: nikhilaravi

Differential Revision: D33638345

fbshipit-source-id: 7a6695f44242e650504320f73b6da74254d49ac7

Summary: PyTorch 1.7.0 was in Oct 2020 and 1.7.1 was in Dec 2020. We shouldn't need older than them, maybe not even 1.7.0.

Reviewed By: patricklabatut

Differential Revision: D33507967

fbshipit-source-id: d3de09c20c44870cbe5522705f2293acc0e62af3

Summary: Adds 1.10.1 to the nightly builds

Reviewed By: patricklabatut

Differential Revision: D33507966

fbshipit-source-id: af88b155adbc4e3236107f709323bd46a1819013

Summary:
The following snippet should work in more cases.
     point_cloud = Pointclouds(
         [pcl.points_packed() for pcl in point_clouds],
         features=[pcl.features_packed() for pcl in point_clouds],
     )

We therefore allow features and normals inputs to be lists which contain some (but not all) Nones.

The initialization of a Pointclouds from empty data is also made a bit better now at working out how many feature channels there are.

Reviewed By: davnov134

Differential Revision: D31795089

fbshipit-source-id: 54bf941ba80672d699ffd5ac28927740e830f8ab

Summary: Quick script to list tests to help completion of test command.

Reviewed By: patricklabatut

Differential Revision: D33279584

fbshipit-source-id: acb463106d311498449a14c1daf52434878722bf

Summary: Since coarse rasterization on cuda can overflow bins, we detect when this happens for memory safety. See https://github.com/facebookresearch/pytorch3d/issues/348 . Also try to print a warning.

Reviewed By: patricklabatut

Differential Revision: D33065604

fbshipit-source-id: 99b3c576d01b78e6d77776cf1a3e95984506c93a

Summary: Fix https://github.com/facebookresearch/pytorch3d/issues/1015. Stop relying on the fact that the dtype returned by np.random.choice (int64 on Linux, int32 on Windows) matches the dtype used by pytorch for indexing (int64 everywhere).

Reviewed By: patricklabatut

Differential Revision: D33428680

fbshipit-source-id: 716c857502cd54c563cb256f0eaca7dccd535c10

Summary: Python 3.6 was EOL on 2021-12-23.

Reviewed By: patricklabatut

Differential Revision: D33428708

fbshipit-source-id: 37a73898df49a4a49266839278fc8be56597405d

Summary: Manual adjustments for license changes.

Reviewed By: patricklabatut

Differential Revision: D33405657

fbshipit-source-id: 8a21735726f3aece9f9164da9e3b272b27db8032

Summary: Update all FB license strings to the new format.

Reviewed By: patricklabatut

Differential Revision: D33403538

fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c

Differential Revision: D33338085

fbshipit-source-id: fdb207864718c56dfa0d20530b59349c93af11bd

Summary: Removed harmonic embedding function from projects/nerf and changed import to be from core pytorch3d.

Reviewed By: patricklabatut

Differential Revision: D33142358

fbshipit-source-id: 3004247d50392dbd04ea72e9cd4bace0dc03606b

Summary:
Moved `HarmonicEmbedding` function in core PyTorch3D.
In the next diff will update the NeRF project.

Reviewed By: bottler

Differential Revision: D32833808

fbshipit-source-id: 0a12ccd1627c0ce024463c796544c91eb8d4d122

Summary: Removed `select_cameras.py` from implicitron and updated all callsites to directly index the cameras.

Reviewed By: bottler

Differential Revision: D33187605

fbshipit-source-id: aaf5b36aef9d72db0c7e89dec519f23646f6aa05

Summary:
Added a custom `__getitem__` method to `CamerasBase` which returns an instance of the appropriate camera instead of the `TensorAccessor` class.

Long term we should deprecate the `TensorAccessor` and the `__getitem__` method on `TensorProperties`

FB: In the next diff I will update the uses of `select_cameras` in implicitron.

Reviewed By: bottler

Differential Revision: D33185885

fbshipit-source-id: c31995d0eb126981e91ba61a6151d5404b263f67

Summary:
* Add PyTorch 1.10 + CUDA 11.1 combination.
* Change the CUDA 11.3 builds to happen in a separate docker image.
* Update connection to AWS to use the official `aws` commands instead of the wrapper which is now gone.

Reviewed By: patricklabatut

Differential Revision: D33235489

fbshipit-source-id: 56401f27c002a512ae121b3ec5911d020bfab885

Summary: New sampling mode option in TexturesUV mush match when collating meshes.

Reviewed By: patricklabatut

Differential Revision: D33235901

fbshipit-source-id: f457473d90bf022e65fe122ef45bf5efad134345

Summary: When parsing tutorials for building the website, we fix a few libraries at old versions. They need mistune 0.8.4, not the new version 2+, so this gets added to the list of fixed-version libraries.

Reviewed By: patricklabatut

Differential Revision: D33236031

fbshipit-source-id: 2b152b64043edffc59fa909012eab5794c7e8844

Summary: Function to join a list of pointclouds as a batch similar to the corresponding function for Meshes.

Reviewed By: bottler

Differential Revision: D33145906

fbshipit-source-id: 160639ebb5065e4fae1a1aa43117172719f3871b

Summary: Fix some comments to match the recent change to transform_points_screen.

Reviewed By: patricklabatut

Differential Revision: D33243697

fbshipit-source-id: dc8d182667a9413bca2c2e3657f97b2f7a47c795

Summary: Make code for downloading linux wheels robust to double-digit PyTorch minor version.

Reviewed By: nikhilaravi

Differential Revision: D33170562

fbshipit-source-id: 559a97cc98ff8411e235a9f9e29f84b7a400c716

Differential Revision: D33202801

fbshipit-source-id: d4cb0f4f4a8ad5a6519ce4b8c640e8f96fbeaccb

Summary:
A small numerical fix for IoU for 3D boxes, fixes GH #992

* Adds a check for boxes with zero side areas (invalid boxes)
* Fixes numerical issue when two boxes have coplanar sides

Reviewed By: nikhilaravi

Differential Revision: D33195691

fbshipit-source-id: 8a34b4d1f1e5ec2edb6d54143930da44bdde0906

Summary: Restore compatibility with old C++ after recent torch change. https://github.com/facebookresearch/pytorch3d/issues/995

Reviewed By: patricklabatut

Differential Revision: D33093174

fbshipit-source-id: 841202fb875d601db265e93dcf9cfa4249d02b25

Reviewed By: zertosh

Differential Revision: D33090919

fbshipit-source-id: 78efa486776014a27f280a01a21f9e0af6742e3e

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69041

`TH_CONCAT_{N}` is still being used by THP so I've moved that into
it's own header but all the compiled code is gone.

Test Plan: Imported from OSS

Reviewed By: anjali411

Differential Revision: D32872477

Pulled By: ngimel

fbshipit-source-id: 06c82d8f96dbcee0715be407c61dfc7d7e8be47a

Summary: Although the PyTorch website, which describes the current version 1.10, suggests CUDA 10.2 and 11.3 are supported, it would appear that we need to include builds for CUDA 11.1 to avoid surprises. This is because these builds are on anaconda, and this combination is used on Google Colab.

Reviewed By: nikhilaravi

Differential Revision: D33063932

fbshipit-source-id: 1b22d1f06e22bd18fb53ceecb58e78ac6a5d1693

Summary: Update version number

Reviewed By: patricklabatut

Differential Revision: D33016833

fbshipit-source-id: ee3b0997887ab3bc5779503b13fa2014df41eaed

Summary: Update references to dependencies

Reviewed By: patricklabatut

Differential Revision: D33016832

fbshipit-source-id: aa41c7ccc6acd19654303bc18bfd734dc29d88a3

Summary: Pre 0.6.1 release, make the tutorials expect wheels with PyTorch 1.10.0

Reviewed By: patricklabatut

Differential Revision: D33016834

fbshipit-source-id: b8c5c1c6158f806c3e55ec668117fa762fa4b75f

Summary: Build the wheels with latest PyTorch

Reviewed By: patricklabatut

Differential Revision: D33016835

fbshipit-source-id: 0ec42f31f1e4d4055562f18790f929b34bb13c52

Reviewed By: zertosh

Differential Revision: D32975574

fbshipit-source-id: 66856595c7bc29921f24a2c5c00c72892f262aa1

Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/69039

Test Plan: Imported from OSS

Reviewed By: anjali411

Differential Revision: D32872476

Pulled By: ngimel

fbshipit-source-id: 7972aacc24aef9450fb59b707ed6396c501bcb31

Summary: Demonstrate current behavior of pixels with new tests of all renderers.

Reviewed By: gkioxari

Differential Revision: D32651141

fbshipit-source-id: 3ca30b4274ed2699bc5e1a9c6437eb3f0b738cbf

Summary:
All the renderers in PyTorch3D (pointclouds including pulsar, meshes, raysampling) use align_corners=False style. NDC space goes between the edges of the outer pixels. For a non square image with W>H, the vertical NDC space goes from -1 to 1 and the horizontal from -W/H to W/H.

However it was recently pointed out that functionality which deals with screen space inside the camera classes is inconsistent with this. It unintentionally uses align_corners=True. This fixes that.

This would change behaviour of the following:
- If you create a camera in screen coordinates, i.e. setting in_ndc=False, then anything you do with the camera which touches NDC space may be affected, including trying to use renderers. The transform_points_screen function will not be affected...
- If you call the function “transform_points_screen” on a camera defined in NDC space results will be different. I have illustrated in the diff how to get the old results from the new results but this probably isn’t the right long-term solution..

Reviewed By: gkioxari

Differential Revision: D32536305

fbshipit-source-id: 377325a9137282971dcb7ca11a6cba3fc700c9ce

Summary: Give unproject_points an argument letting it bypass screen space. use it to let the raysampler work for cameras defined in screen space.

Reviewed By: gkioxari

Differential Revision: D32596600

fbshipit-source-id: 2fe585dcd138cdbc65dd1c70e1957fd894512d3d