GitLab

Summary: Stronger typing for these functions

Reviewed By: shapovalov

Differential Revision: D36170489

fbshipit-source-id: a2104b29dbbbcfcf91ae1d076cd6b0e3d2030c0b

Summary: Fix doc and add a call to expand_args_fields for each implicit function.

Reviewed By: shapovalov

Differential Revision: D35929811

fbshipit-source-id: 8c3cfa56b8d8908fd2165614960e3d34b54717bb

Summary: Like vgg16 for lpips, internally we need resnet34 weights for coming feature extractor tests.

Reviewed By: davnov134

Differential Revision: D36349361

fbshipit-source-id: 1c33009c904766fcc15e7e31cd15d0f820c57354

Summary:
This converts raysamplers to ReplaceableBase so that users can hack their own raysampling impls.

Context: Andrea tried to implement TensoRF within implicitron but could not due to the need to implement his own raysampler.

Reviewed By: shapovalov

Differential Revision: D36016318

fbshipit-source-id: ef746f3365282bdfa9c15f7b371090a5aae7f8da

Summary: Uses the GenericRaymarcher only as an ABC and derives two common implementations - EA raymarcher and Cumsum raymarcher (from neural volumes)

Reviewed By: shapovalov

Differential Revision: D35927653

fbshipit-source-id: f7e6776e71f8a4e99eefc018a47f29ae769895ee

Summary: Implements a ViewPooler that groups ViewSampler and FeatureAggregator.

Reviewed By: shapovalov

Differential Revision: D35852367

fbshipit-source-id: c1bcaf5a1f826ff94efce53aa5836121ad9c50ec

Summary:
Applies the black-fbsource codemod with the new build of pyfmt.

paintitblack

Reviewed By: lisroach

Differential Revision: D36324783

fbshipit-source-id: 280c09e88257e5e569ab729691165d8dedd767bc

Summary: Add a capability to detach all detachable tensors in Fragments.

Reviewed By: bottler

Differential Revision: D35918133

fbshipit-source-id: 03b5d4491a3a6791b0a7bc9119f26c1a7aa43196

Summary:
Resolve https://github.com/facebookresearch/pytorch3d/issues/1186 by fixing the minimal version of CUDA for installing from a wheel

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1194

Reviewed By: patricklabatut

Differential Revision: D36279396

Pulled By: bottler

fbshipit-source-id: 2371256a5451ec33c01d6fa9616c5b24fa83f7f8

Summary: Tests all possible model configs in test_forward_pass.py

Reviewed By: shapovalov

Differential Revision: D35851507

fbshipit-source-id: 4860ee1d37cf17a2faab5fc14d4b2ba0b96c4b8b

Differential Revision: D36269817

fbshipit-source-id: 47b8a77747e8297af3731fd0a388d4c5432dc1ff

Summary:
To avoid model_zoo, we need to make GenericModel pluggable.
I also align creation APIs for convenience.

Reviewed By: bottler, davnov134

Differential Revision: D35933093

fbshipit-source-id: 8228926528eb41a795fbfbe32304b8019197e2b1

Summary: GenericModel crashes in case the `aux` field of any Renderer is populated. This is because the `rendered.aux` is unpacked to  ViewMetrics.forward whose signature does not contain **kwargs. Hence, the contents of `aux` are unknown to forward's signature resulting in a crash.

Reviewed By: bottler

Differential Revision: D36166118

fbshipit-source-id: 906a067ea02a3648a69667422466451bc219ebf6

Reviewed By: bottler

Differential Revision: D36148049

fbshipit-source-id: 87ca3ea8d5b5a315418cc597b36fd0a1dffb1e00

Summary:
Create a test runner for the eval_demo code.  Debugging this is useful for understanding datasets.

Introduces an environment variable INTERACTIVE_TESTING for ignoring tests which are not intended for use in regular test runs.

Reviewed By: shapovalov

Differential Revision: D35964016

fbshipit-source-id: ab0f93aff66b6cfeca942b14466cf81f7feb2224

Summary: the pytorch3d.compat.lstsq function needs a 2D rhs.

Reviewed By: patricklabatut

Differential Revision: D36195826

fbshipit-source-id: 9dbafea2057035cc04973f56729dc97b47dcac83

Summary: pytorch3d/vis has been missing. Reduce prominence of common.

Reviewed By: patricklabatut

Differential Revision: D36008733

fbshipit-source-id: bbc9fbb031c8dc95870087fa48df29410ae69e35

Differential Revision: D36120486

fbshipit-source-id: bddbf47957f4476f826ad20c2d6e146c98ee73e1

Summary: Update PyTorch3D version number

Differential Revision: D35980555

fbshipit-source-id: 637ccd33eef22d909985d2fce3958c78f3d0d551

Summary: Updates for version 0.6.2

Differential Revision: D35980557

fbshipit-source-id: e677a22d4f8a323376310dfb536133bee8045f1f

Summary: colab is now 1.11.0

Differential Revision: D35980556

fbshipit-source-id: 988a06c652518fb61ccbef2e7197e3422a706250

Summary: Updated to FoV cameras and added perspective_correct=False, otherwise it'll nan out.

Reviewed By: bottler

Differential Revision: D35970900

fbshipit-source-id: 569b8de0b124d415f4b841924ddc85585cee2dda

Summary: Most of the shaders copypaste exactly the same code into `__init__` and `to`. I will be adding a new shader in the next diff, so let's make it a bit easier.

Reviewed By: bottler

Differential Revision: D35767884

fbshipit-source-id: 0057e3e2ae3be4eaa49ae7e2bf3e4176953dde9d

Summary: Move from isort to usort now that usort supports sorting within lines.

Reviewed By: patricklabatut

Differential Revision: D35893280

fbshipit-source-id: 621c1cd285199d785408504430ee0bdf8683b21e

Summary: New function to check if a renderer needs the object mask.

Reviewed By: davnov134

Differential Revision: D35254009

fbshipit-source-id: 4c99e8a1c0f6641d910eb32bfd6cfae9d3463d50

Summary: Make method for SDF's use of object mask more general, so that a renderer can be given per-pixel values.

Reviewed By: shapovalov

Differential Revision: D35247412

fbshipit-source-id: 6aeccb1d0b5f1265a3f692a1453407a07e51a33c

Summary: For `pip install` without -e, we need to name the entry point functions in setup.py.

Reviewed By: patricklabatut

Differential Revision: D35933037

fbshipit-source-id: be15ae1a4bb7c5305ea2ba992d07f3279c452250

Summary: Repo has jpgs but docs/website want pngs.

Reviewed By: nikhilaravi

Differential Revision: D35596475

fbshipit-source-id: 4cafd405c06c0eb339001a8db2422dbbd1f8f28a

Summary:
Applies new import merging and sorting from µsort v1.0.

When merging imports, µsort will make a best-effort to move associated
comments to match merged elements, but there are known limitations due to
the diynamic nature of Python and developer tooling. These changes should
not produce any dangerous runtime changes, but may require touch-ups to
satisfy linters and other tooling.

Note that µsort uses case-insensitive, lexicographical sorting, which
results in a different ordering compared to isort. This provides a more
consistent sorting order, matching the case-insensitive order used when
sorting import statements by module name, and ensures that "frog", "FROG",
and "Frog" always sort next to each other.

For details on µsort's sorting and merging semantics, see the user guide:
https://usort.readthedocs.io/en/stable/guide.html#sorting

Reviewed By: bottler

Differential Revision: D35553814

fbshipit-source-id: be49bdb6a4c25264ff8d4db3a601f18736d17be1

Summary: D35513897 (https://github.com/facebookresearch/pytorch3d/commit/4b94649f7b7de4ce3a0597c5a17a7596928ad20b) was a pyre infer job which got some things wrong. Correct by adding the correct types, so these things shouldn't need worrying about again.

Reviewed By: patricklabatut

Differential Revision: D35546144

fbshipit-source-id: 89f6ea2b67be27aa0b0b14afff4347cccf23feb7

Summary: Add option to not rescale the features, giving more control. https://github.com/facebookresearch/pytorch3d/issues/1137

Reviewed By: nikhilaravi

Differential Revision: D35219577

fbshipit-source-id: cbbb643b91b71bc908cedc6dac0f63f6d1355c85

Summary:
Hello, I'm Seungoh from South Korea.

I'm finding typo while I'm learning tutorials.
Wrong numbers are changed to right numbers.

Thank you.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1163

Reviewed By: patricklabatut

Differential Revision: D35546843

Pulled By: bottler

fbshipit-source-id: b6e70cdf821fd4a108dfd416e8f4bcb3ecbeb449

Differential Revision: D35590813

fbshipit-source-id: 0f35d7193f839a41f3cac18bf20236b815368f19

Summary: In order to simplify the interface, we disallow passing None as vertex/face lists to textures.submeshes. This function would only ever get called from within meshes.submeshes where we can provide both arguments, even if they're not necessary for a specific submesh type.

Reviewed By: bottler

Differential Revision: D35581161

fbshipit-source-id: aeab99308a319b144e141ca85ca7515f855116da

Summary: Add submeshing capability for meshes with TexturesVertex.

Reviewed By: bottler

Differential Revision: D35448534

fbshipit-source-id: 6d16a31a5bfb24ce122cf3c300a7616bc58353d1

Summary:
Copypasting the docstring:
```
        Split a mesh into submeshes, defined by face indices of the original Meshes object.

        Args:
          face_indices:
            Let the original mesh have verts_list() of length N.
            Can be either
              - List of length N. The n-th element is a list of length num_submeshes_n
                (empty lists are allowed). Each element of the n-th sublist is a LongTensor
                of length num_faces.
              - List of length N. The n-th element is a possibly empty padded LongTensor of
                shape (num_submeshes_n, max_num_faces).

        Returns:
          Meshes object with selected submeshes. The submesh tensors are cloned.

        Currently submeshing only works with no textures or with the TexturesVertex texture.

        Example:

        Take a Meshes object `cubes` with 4 meshes, each a translated cube. Then:
            * len(cubes) is 4, len(cubes.verts_list()) is 4, len(cubes.faces_list()) is 4,
            * [cube_verts.size for cube_verts in cubes.verts_list()] is [8, 8, 8, 8],
            * [cube_faces.size for cube_faces in cubes.faces_list()] if [6, 6, 6, 6],

        Now let front_facet, top_and_bottom, all_facets be LongTensors of
        sizes (2), (4), and (12), each picking up a number of facets of a cube by specifying
        the appropriate triangular faces.

        Then let `subcubes = cubes.submeshes([[front_facet, top_and_bottom], [], [all_facets], []])`.
            * len(subcubes) is 3.
            * subcubes[0] is the front facet of the cube contained in cubes[0].
            * subcubes[1] is a mesh containing the (disconnected) top and bottom facets of cubes[0].
            * subcubes[2] is a clone of cubes[2].
            * There are no submeshes of cubes[1] and cubes[3] in subcubes.
            * subcubes[0] and subcubes[1] are not watertight. subcubes[2] is.
```

Reviewed By: bottler

Differential Revision: D35440657

fbshipit-source-id: 8a6d2d300ce226b5b9eb440688528b5e795195a1

Summary:
Sort a mesh's vertices in alphabetical order, and resort the face coords accordingly. Textured meshes are not supported yet, but will be added down the stack.

This, togehter with mesh equality, can be used to compare two meshes in a way invariant to vertex permutations, as shown in the unit tests.

We do not want the submeshing mechanism to guarantee any particular vertex order, leaving that up to the implementation, so we need this function for testing.

Reviewed By: bottler

Differential Revision: D35440656

fbshipit-source-id: 5a4dd921fdb00625a33da08b5fea79e20ac6402c

Summary: Adding a mesh equality operator. Two Meshes objects m1, m2 are equal iff their vertex lists, face lists, and normals lists are equal. Textures meshes are not supported yet, but will be added for vertex textures down the stack.

Reviewed By: bottler, nikhilaravi

Differential Revision: D35440655

fbshipit-source-id: 69974a59c091416afdb2892896859a189f5ebf3a

Summary:
The default behavior of Meshes (with verts=None, faces=None) throws an exception:
```
meshes = Meshes()
> ValueError: Verts and Faces must be either a list or a tensor with shape (batch_size, N, 3) where N is either the maximum number of verts or faces respectively.
```

Instead, let's default to an empty mesh, following e.g. PyTorch:
```
empty_tensor = torch.FloatTensor()
> torch.tensor([])
```

this change is backwards-compatible (you can still init with verts=[], faces=[]).

Reviewed By: bottler, nikhilaravi

Differential Revision: D35443453

fbshipit-source-id: d638a8fef49a089bf0da6dd2201727b94ceb21ec

Summary:
Added L1 norm for KNN and chamfer op
* The norm is now specified with a variable `norm` which can only be 1 or 2

Reviewed By: bottler

Differential Revision: D35419637

fbshipit-source-id: 77813fec650b30c28342af90d5ed02c89133e136