GitLab

Summary: Call expand_args_field when instantiating an object.

Reviewed By: shapovalov

Differential Revision: D39541931

fbshipit-source-id: de8e1038927ff0112463394412d5d8c26c4a1e17

Summary: Allow using the new `foreach` option on optimizers.

Reviewed By: shapovalov

Differential Revision: D39694843

fbshipit-source-id: 97109c245b669bc6edff0f246893f95b7ae71f90

Summary: Add the ability to process arbitrary point shapes `[n_grids, ..., 3]` instead of  only `[n_grids, n_points, 3]`.

Reviewed By: bottler

Differential Revision: D39574373

fbshipit-source-id: 0a9ecafe9ea58cd8f909644de43a1185ecf934f4

Summary:
Added export of UV textures to IO.save_mesh in Pytorch3d
MeshObjFormat now passes verts_uv, faces_uv, and texture_map as input to save_obj

TODO: check if TexturesUV.verts_uv_list or TexturesUV.verts_uv_padded() should be passed to save_obj

IO.save_mesh(obj_file, meshes, decimal_places=2) should be IO().save_mesh(obj_file, meshes, decimal_places=2)

Reviewed By: bottler

Differential Revision: D39617441

fbshipit-source-id: 4628b7f26f70e38c65f235852b990c8edb0ded23

Summary:
A significant speedup (e.g. >2% of a forward pass).

Move NDCMultinomialRaysampler parts of AbstractMaskRaySampler to members instead of living in a dict. The dict was hiding them from the nn.Module system so their _xy_grid members were remaining on the CPU. Therefore they were being copied to the GPU in every forward pass.

(We couldn't easily use a ModuleDict here because the enum keys are not strs.)

Reviewed By: shapovalov

Differential Revision: D39668589

fbshipit-source-id: 719b88e4a08fd7263a284e0ab38189e666bd7e3a

Summary:
- indicate location of OmegaConf.structured failures
- split the data gathering from enable_get_default_args to ease experimenting with it.
- comment fixes.
- nicer error when a_class_type has weird type.

Reviewed By: kjchalup

Differential Revision: D39434447

fbshipit-source-id: b80c7941547ca450e848038ef5be95b7ebbe8f3e

Summary: Fixes #1326

Reviewed By: kjchalup

Differential Revision: D39259697

fbshipit-source-id: 51392f4cc4a956165a62901cb115fcefe0e17277

Summary: Various fixes to get visualize_reconstruction running, and an interactive test for it.

Reviewed By: kjchalup

Differential Revision: D39286691

fbshipit-source-id: 88735034cc01736b24735bcb024577e6ab7ed336

Summary: allow TESTIT to complete properly

Reviewed By: kjchalup

Differential Revision: D39280546

fbshipit-source-id: 38fe69988a736e32dbe78d1d05e6d8421353854a

Summary: Workaround for oddity with new hydra.

Reviewed By: davnov134

Differential Revision: D39280639

fbshipit-source-id: 76e91947f633589945446db93cf2dbc259642f8a

Summary: Followup to D39259775 (https://github.com/facebookresearch/pytorch3d/commit/438c194ec61b34b377727c97d5922897546c581d)

Reviewed By: davnov134

Differential Revision: D39271753

fbshipit-source-id: 5cf11c1210369e1762ef0d5d0c7b60336711b261

Summary: Samples batches without replacement if the number of samples is not specified. This makes sure that we always iterate over the whole dataset in each epoch.

Reviewed By: bottler

Differential Revision: D39270786

fbshipit-source-id: 0c983d1f5e0af711463abfb23939bc0d2b5172a0

Summary: Fixes bugs in render_flyaround

Reviewed By: bottler

Differential Revision: D39271932

fbshipit-source-id: 07e6c9ee07ba91feb437b725af0a8942fd98db0b

Summary:
Move the flyaround rendering function into core implicitron.
The unblocks an example in the facebookresearch/co3d repo.

Reviewed By: bottler

Differential Revision: D39257801

fbshipit-source-id: 6841a88a43d4aa364dd86ba83ca2d4c3cf0435a4

Summary:
The self._stratified_sampling attribute is always overridden unless stratified_sampling is explicitly set to None. However, the desired default behavior is that the value of self._stratified_sampling is used unless the argument stratified_sampling is set to True/False. Changing the default to None achieves this

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1324

Reviewed By: bottler

Differential Revision: D39259775

Pulled By: davnov134

fbshipit-source-id: e01bb747ac80c812eb27bf22e67f5e14f29acadd

Summary: On each call of the stats.update the object calculates current average iteration time by getting time elapsed from the time_start and then dividing it by the current number of steps. It saves the result to AverageMeter object which when queried returns the average of things saved, so the time is averaged twice which biases it towards the start value (which is often larger).

Reviewed By: kjchalup

Differential Revision: D39206989

fbshipit-source-id: ccab5233d7aaca1ac4fd626fb329b83c7c0d6af9

Summary: Currently some implicit functions in implicitron take a raybundle, others take ray_points_world. raybundle is what they really need. However, the raybundle is going to become a bit more flexible later, as it will contain different numbers of rays for each camera.

Reviewed By: bottler

Differential Revision: D39173751

fbshipit-source-id: ebc038e426d22e831e67a18ba64655d8a61e1eb9

Reviewed By: stroxler

Differential Revision: D39230408

fbshipit-source-id: dce7a461507ee7199f588341773096c06051b2dc

Summary: Update the docstring for try_get_projection_transform on the API design.

Reviewed By: kjchalup

Differential Revision: D39227333

fbshipit-source-id: c9d0e625735d4972116d1f71865fb9b763e684de

Summary: Fixed the typing for try_get_projection_transform.

Reviewed By: kjchalup

Differential Revision: D39211811

fbshipit-source-id: ef05c6b545831d1a9f3c754aeb02fb9776e360ed

Reviewed By: kjchalup

Differential Revision: D39198333

fbshipit-source-id: 3f4ebcf625215f21d165073837578ff69b05f72d

Summary:
1) Update rasterizer/point rasterizer to accommodate fisheyecamera. Specifically, transform_points is in placement of explicit transform compositions.

2) In rasterizer unittests, update corresponding tests for rasterizer and point_rasterizer. Address comments to test fisheye against perspective camera when distortions are turned off.

3) Address comments to add end2end test for fisheyecameras. In test_render_meshes, fisheyecameras are added to camera enuerations whenever possible.

4) Test renderings with fisheyecameras of different params on cow mesh.

5) Use compositions for linear cameras whenever possible.

Reviewed By: kjchalup

Differential Revision: D38932736

fbshipit-source-id: 5b7074fc001f2390f4cf43c7267a8b37fd987547

Summary:
Amend FisheyeCamera by adding tests for all
combination of params and for different batch_sizes.

Reviewed By: kjchalup

Differential Revision: D39176747

fbshipit-source-id: 830d30da24beeb2f0df52db0b17a4303ed53b59c

Summary: Remove the compat functions eigh, solve, lstsq, and qr. Migrate callers to use torch.linalg directly.

Reviewed By: bottler

Differential Revision: D39172949

fbshipit-source-id: 484230a553237808f06ee5cdfde64651cba91c4c

Summary: A dummy value in test_opengl_utils seems to be able to break tests in test_mesh_renderer_opengl{,_to}.

Reviewed By: kjchalup

Differential Revision: D39173275

fbshipit-source-id: 83b15159f70135ea575d5085c7b6b37badd6e49e

Summary: D38919607 (https://github.com/facebookresearch/pytorch3d/commit/c4545a7cbc7bea5fce9862ae45fcff171e9204f9) and D38858887 (https://github.com/facebookresearch/pytorch3d/commit/06cbba2628265a7c8a69eec732b4f0145b6a204b) were premature, turns out CUDA 10.2 doesn't support C++17.

Reviewed By: bottler

Differential Revision: D39156205

fbshipit-source-id: 5e2e84cc4a57d1113a915166631651d438540d56

Summary:
torch.symeig is deprecated for a long time and is being removed by https://github.com/pytorch/pytorch/pull/70988.

Created from CodeHub with https://fburl.com/edit-in-codehub

Reviewed By: bottler

Differential Revision: D39153103

fbshipit-source-id: 3a1397b6d86fb3e45e4777e06a4da3ee76591b32

Summary:
Adds yaml configs to train selected methods on CO3Dv2.

Few more updates:
1) moved some fields to base classes so that we can check is_multisequence in experiment.py
2) skip loading all train cameras for multisequence datasets, without this, co3d-fewview is untrainable
3) fix bug in json index dataset provider v2

Reviewed By: kjchalup

Differential Revision: D38952755

fbshipit-source-id: 3edac6fc8e20775aa70400bd73a0e6d52b091e0c

Summary: Address comments to add benchmarkings for cameras and the new fisheye cameras. The dependency functions in test_cameras have been updated in Diff 1. The following two snapshots show benchmarking results.

Reviewed By: kjchalup

Differential Revision: D38991914

fbshipit-source-id: 51fe9bb7237543e4ee112c9f5068a4cf12a9d482

Summary:
1. A Fisheye camera model that generalizes pinhole camera by considering distortions (i.e. radial, tangential and thin-prism distortions).

2. Added tests against perspective cameras when distortions are off and Aria data points when distortions are on.

3. Address comments to test unhandled shapes between points and transforms. Added tests for __FIELDS, shape broadcasts, cuda etc.

4. Address earlier comments for code efficiency (e.g., adopted torch.norm; torch.solve for matrix inverse; removed inplace operations; unnecessary clone; expand in place of repeat etc).

Reviewed By: jcjohnson

Differential Revision: D38407094

fbshipit-source-id: a3ab48c85c496ac87af692d5d461bb3fc2a2db13

Summary: I think there is a typo here could not find any MultiPassEARenderer just MultiPassEmissionAbsorptionRenderer?

Reviewed By: bottler

Differential Revision: D39056641

fbshipit-source-id: 4dd0b123fc795a0083a957786c032e23dc5abac9

Summary: Added replacable decoding functions which will be applied after the voxel grid to get color and density

Reviewed By: bottler

Differential Revision: D38829763

fbshipit-source-id: f21ce206c1c19548206ea2ce97d7ebea3de30a23

Summary: Simple wrapper around voxel grids to make them a module

Reviewed By: bottler

Differential Revision: D38829762

fbshipit-source-id: dfee85088fa3c65e396cc7d3bf7ebaaffaadb646

Summary:
One of the docstrings is a disaster see https://pytorch3d.readthedocs.io/en/latest/modules/ops.html

Also some minor fixes I encountered when browsing the code

Reviewed By: bottler

Differential Revision: D38581595

fbshipit-source-id: 3b6ca97788af380a44df9144a6a4cac782c6eab8

Add structured bindings to iou to prove that we're C++17-friendly. Also other minor improvements to bbox iou

Summary: Recently we removed C++14-only compilation, should work.

Reviewed By: bottler

Differential Revision: D38919607

fbshipit-source-id: 6a26fa7713f7ba2163364ccc673ad774aa3a5adb

Summary: Fix issue #1306

Reviewed By: kjchalup

Differential Revision: D38941342

fbshipit-source-id: 306ea698ab6af22b874df6e2abdaa9021b65e1ef

Summary: https://github.com/facebookresearch/pytorch3d/issues/736

Reviewed By: bottler

Differential Revision: D38881935

fbshipit-source-id: 62aa3575513ab752a5afda4a257a985032bc7f6d

Summary: Moved the MLP and transformer from nerf to a new file to be reused.

Reviewed By: bottler

Differential Revision: D38828150

fbshipit-source-id: 8ff77b18b3aeeda398d90758a7bcb2482edce66f

Summary: Added voxel grid classes from TensoRF, both in their factorized (CP and VM) and full form.

Reviewed By: bottler

Differential Revision: D38465419

fbshipit-source-id: 8b306338af58dc50ef47a682616022a0512c0047

Summary: Stop stale workflow

Reviewed By: kjchalup

Differential Revision: D38858730

fbshipit-source-id: 25a5c00a0295739bac841ca6f0d5ff8230e689d0