GitLab

Summary:
Introduce methods to approximate the radii of conical frustums along rays as described in [MipNerf](https://arxiv.org/abs/2103.13415):

- Two new attributes are added to ImplicitronRayBundle: bins and radii. Bins is of size n_pts_per_ray + 1. It allows us to manipulate easily and n_pts_per_ray intervals. For example we need the intervals coordinates in the radii computation for \(t_{\mu}, t_{\delta}\). Radii are used to store the radii of the conical frustums.

- Add 3 new methods to compute the radii:
   - approximate_conical_frustum_as_gaussians: It computes the mean along the ray direction, the variance of the
      conical frustum  with respect to t and variance of the conical frustum with respect to its radius. This
      implementation follows the stable computation defined in the paper.
   - compute_3d_diagonal_covariance_gaussian: Will leverage the two previously computed variances to find the
     diagonal covariance of the Gaussian.
   - conical_frustum_to_gaussian: Mix everything together to compute the means and the diagonal covariances along
     the ray of the Gaussians.

- In AbstractMaskRaySampler, introduces the attribute `cast_ray_bundle_as_cone`. If False it won't change the previous behaviour of the RaySampler. However if True, the samplers will sample `n_pts_per_ray +1` instead of `n_pts_per_ray`. This points are then used to set the bins attribute of ImplicitronRayBundle. The support of HeterogeneousRayBundle has not been added since the current code does not allow it. A safeguard has been added to avoid a silent bug in the future.

Reviewed By: shapovalov

Differential Revision: D45269190

fbshipit-source-id: bf22fad12d71d55392f054e3f680013aa0d59b78

Summary:
Changed ray_sampler and metrics to be able to use mixed frame raysampling.

Ray_sampler now has a new member which it passes to the pytorch3d raysampler.
If the raybundle is heterogeneous metrics now samples images by padding xys first. This reduces memory consumption.

Reviewed By: bottler, kjchalup

Differential Revision: D39542221

fbshipit-source-id: a6fec23838d3049ae5c2fd2e1f641c46c7c927e3

Summary: remove n_instances==0 special case, standardise args for GlobalEncoderBase's forward.

Reviewed By: shapovalov

Differential Revision: D37817340

fbshipit-source-id: 0aac5fbc7c336d09be9d412cffff5712bda27290

Summary: continued - avoid duplicate inputs

Reviewed By: davnov134

Differential Revision: D38248827

fbshipit-source-id: 91ed398e304496a936f66e7a70ab3d189eeb5c70

Summary: Don't copy from one part of config to another, rather do the copy within GenericModel.

Reviewed By: davnov134

Differential Revision: D38248828

fbshipit-source-id: ff8af985c37ea1f7df9e0aa0a45a58df34c3f893

Summary:
Stats are logically connected to the training loop, not to the model. Hence, moving to the training loop.

Also removing resume_epoch from OptimizerFactory in favor of a single place - ModelFactory. This removes the need for config consistency checks etc.

Reviewed By: kjchalup

Differential Revision: D38313475

fbshipit-source-id: a1d188a63e28459df381ff98ad8acdcdb14887b7

Summary: Refactors autodecoders. Tests pass.

Reviewed By: bottler

Differential Revision: D37592429

fbshipit-source-id: 8f5c9eac254e1fdf0704d5ec5f69eb42f6225113

Summary:
Make ViewMetrics easy to replace by putting them into an OmegaConf dataclass.

Also, re-word a few variable names and fix minor TODOs.

Reviewed By: bottler

Differential Revision: D37327157

fbshipit-source-id: 78d8e39bbb3548b952f10abbe05688409fb987cc

Summary: Allow specifying a color for non-opaque pixels in LSTMRenderer.

Reviewed By: davnov134

Differential Revision: D37172537

fbshipit-source-id: 6039726678bb7947f7d8cd04035b5023b2d5398c

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: Make ResNetFeatureExtractor be an implementation of FeatureExtractorBase.

Reviewed By: davnov134

Differential Revision: D35433098

fbshipit-source-id: 0664a9166a88e150231cfe2eceba017ae55aed3a

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: Implements a ViewPooler that groups ViewSampler and FeatureAggregator.

Reviewed By: shapovalov

Differential Revision: D35852367

fbshipit-source-id: c1bcaf5a1f826ff94efce53aa5836121ad9c50ec

Co-authored-by: Jeremy Francis Reizenstein <bottler@users.noreply.github.com>