GitLab

Summary: Copy code from NeRF for loading LLFF data and blender synthetic data, and create dataset objects for them

Reviewed By: shapovalov

Differential Revision: D35581039

fbshipit-source-id: af7a6f3e9a42499700693381b5b147c991f57e5d

Summary: Make dataset type and args configurable on JsonIndexDatasetMapProvider.

Reviewed By: davnov134

Differential Revision: D36666705

fbshipit-source-id: 4d0a3781d9a956504f51f1c7134c04edf1eb2846

Summary: Allow access to manifold internally by default.

Reviewed By: davnov134

Differential Revision: D36760481

fbshipit-source-id: 2a16bd40e81ef526085ac1b3f4606b63c1841428

Summary: Changes to JsonIndexDataset to make it fit with OmegaConf.structured. Also match some default values to what the provider defaults to.

Reviewed By: davnov134

Differential Revision: D36666704

fbshipit-source-id: 65b059a1dbaa240ce85c3e8762b7c3db3b5a6e75

Summary: Allow a class to modify its subparts in get_default_args by defining the special function provide_config_hook.

Reviewed By: davnov134

Differential Revision: D36671081

fbshipit-source-id: 3e5b73880cb846c494a209c4479835f6352f45cf

Summary: New paths.

Reviewed By: patricklabatut

Differential Revision: D36734929

fbshipit-source-id: c0ce7ee9145ddca07ef3758d31cc3c261b088e7d

Summary: Our tests fail (https://fburl.com/jmoqo9bz) because test_splatter_blend uses torch.tile, which is not supported in earlier torch versions. Replace it with tensor.extend.

Reviewed By: bottler

Differential Revision: D36796098

fbshipit-source-id: 38d5b40667f98f3163b33f44e53e96b858cfeba2

Summary: Fix divide by zero for empty pointcloud in chamfer. Also for empty batches. In process, needed to regularize num_points_per_cloud for empty batches.

Reviewed By: kjchalup

Differential Revision: D36311330

fbshipit-source-id: 3378ab738bee77ecc286f2110a5c8dc445960340

Summary: A few minor additions I didn't fit into the SplatterBlender diffs, as requested by reviewers.

Reviewed By: jcjohnson

Differential Revision: D36682437

fbshipit-source-id: 57af995e766dfd2674b3984a3ba00aef7ca7db80

Summary: Add simple interactive testrunner for experiment.py

Reviewed By: shapovalov

Differential Revision: D35316221

fbshipit-source-id: d424bcba632eef89eefb56e18e536edb58ec6f85

Summary: The ImplicitronDataset class corresponds to JsonIndexDatasetMapProvider

Reviewed By: shapovalov

Differential Revision: D36661396

fbshipit-source-id: 80ca2ff81ef9ecc2e3d1f4e1cd14b6f66a7ec34d

Summary: Move testing targets from pytorch3d/tests/TARGETS to pytorch3d/TARGETS.

Reviewed By: shapovalov

Differential Revision: D36186940

fbshipit-source-id: a4c52c4d99351f885e2b0bf870532d530324039b

Summary: test_viewpool was inactive so missed being fixed in D36547815 (https://github.com/facebookresearch/pytorch3d/commit/2d1c6d5d9382651bbf825f5f1677d576305d1f92)

Reviewed By: kjchalup

Differential Revision: D36625587

fbshipit-source-id: e7224eadfa5581fe61f10f67d2221071783de04a

Summary:
Benchmarking. We only use num_faces=2 for splatter, because as far as I can see one would never need to use more. Pose optimization and mesh optimization experiments (see next two diffs) showed that Splatter with 2 faces beats Softmax with 50 and 100 faces in terms of accuracy.

Results: We're slower at 64px^2. At 128px and 256px, we're slower than Softmax+50faces, but faster than Softmax+100faces. We're also slower at 10 faces/pix, but expectation as well as results show that more then 2 faces shouldn't be necessary. See also more results in .https://fburl.com/gdoc/ttv7u7hp

Reviewed By: jcjohnson

Differential Revision: D36210575

fbshipit-source-id: c8de28c8a59ce5fe21a47263bd43d2757b15d123

Summary: Splatting shader. See code comments for details. Same API as SoftPhongShader.

Reviewed By: jcjohnson

Differential Revision: D36354301

fbshipit-source-id: 71ee37f7ff6bb9ce028ba42a65741424a427a92d

Summary: PLY with mixture of triangle and quadrilateral faces was failing.

Reviewed By: gkioxari

Differential Revision: D36592981

fbshipit-source-id: 5373edb2f38389ac646a75fd2e1fa7300eb8d054

Summary: Use small image size for test_all_gm_configs

Reviewed By: shapovalov

Differential Revision: D36511528

fbshipit-source-id: 2c65f518a4f23626850343a62d103f85abfabd88

Summary: If no view pooling, don't disable image_feature_extractor. Make image_feature_extractor default to absent.

Reviewed By: davnov134

Differential Revision: D36547815

fbshipit-source-id: e51718e1bcbf65b8b365a6e894d4324f136635e9

Summary: Just a rename

Reviewed By: shapovalov

Differential Revision: D36516885

fbshipit-source-id: 2126e3aee26d89a95afdb31e06942d61cbe88d5a

Summary: replace dataloader_zoo with a pluggable DataLoaderMapProvider.

Reviewed By: shapovalov

Differential Revision: D36475441

fbshipit-source-id: d16abb190d876940434329928f2e3f2794a25416

Summary: replace dataset_zoo with a pluggable DatasetMapProvider. The logic is now in annotated_file_dataset_map_provider.

Reviewed By: shapovalov

Differential Revision: D36443965

fbshipit-source-id: 9087649802810055e150b2fbfcc3c197a761f28a

Summary: Separate ImplicitronDatasetBase and FrameData (to be used by all data sources) from ImplicitronDataset (which is specific).

Reviewed By: shapovalov

Differential Revision: D36413111

fbshipit-source-id: 3725744cde2e08baa11aff4048237ba10c7efbc6

Summary: Make ResNetFeatureExtractor be an implementation of FeatureExtractorBase.

Reviewed By: davnov134

Differential Revision: D35433098

fbshipit-source-id: 0664a9166a88e150231cfe2eceba017ae55aed3a

Summary: Allow extra data in a FrameAnnotation. Therefore allow Optional[T] systematically in _dataclass_from_dict

Reviewed By: davnov134

Differential Revision: D36442691

fbshipit-source-id: ba70f6491574c08b0d9c9acb63f35514d29de214

Summary: Fix recently observed case where enable_get_default_args was missing things declared as Optional[something mutable]=None.

Reviewed By: davnov134

Differential Revision: D36440492

fbshipit-source-id: 192ec07564c325b3b24ccc49b003788f67c63a3d

Summary: We'll need non-flipped screen coords in splatter.

Reviewed By: bottler

Differential Revision: D36337027

fbshipit-source-id: 897f88e8854bab215d2d0e502b25d15526ee86f1

Summary: Make create_x delegate to create_x_impl so that users can rely on create_x_impl in their overrides of create_x.

Reviewed By: shapovalov, davnov134

Differential Revision: D35929810

fbshipit-source-id: 80595894ee93346b881729995775876b016fc08e

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: lisroach

Differential Revision: D36402260

fbshipit-source-id: 7cb52f09b740ccc580e61e6d1787d27381a8ce00

Summary: Fixes to reenable test_create_gm_overrides. Followup from D35852367 (https://github.com/facebookresearch/pytorch3d/commit/47d06c89240ce38f8daf5e27b5dbb09c5f54e58b) using logic from D36349361 (https://github.com/facebookresearch/pytorch3d/commit/9e57b994ca27738c019c798294b581fc8fdc8722).

Reviewed By: shapovalov

Differential Revision: D36371762

fbshipit-source-id: ad5fbbb4b5729fac41980d118f17a2589f7e6aba

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: 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: Tests all possible model configs in test_forward_pass.py

Reviewed By: shapovalov

Differential Revision: D35851507

fbshipit-source-id: 4860ee1d37cf17a2faab5fc14d4b2ba0b96c4b8b

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:
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: 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:
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: 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: 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