GitLab

Summary:
Support variable size pointclouds in the renderer API to allow compatibility with Pulsar rasterizer.

If radius is provided as a float, it is converted to a tensor of shape (P). Otherwise radius is expected to be an (N, P_padded) dimensional tensor where P_padded is the max number of points in the batch (following the convention from pulsar: https://our.intern.facebook.com/intern/diffusion/FBS/browse/master/fbcode/frl/gemini/pulsar/pulsar/renderer.py?commit=ee0342850210e5df441e14fd97162675c70d147c&lines=50)

Reviewed By: jcjohnson, gkioxari

Differential Revision: D21429400

fbshipit-source-id: 65de7d9cd2472b27fc29f96160c33687e88098a2

Summary:
adds `corresponding_cameras_alignment` function that estimates a similarity transformation between two sets of cameras.

The function is essential for computing camera errors in SfM pipelines.

```
Benchmark                                                   Avg Time(μs)      Peak Time(μs) Iterations
--------------------------------------------------------------------------------
CORRESPONDING_CAMERAS_ALIGNMENT_10_centers_False                32219           36211             16
CORRESPONDING_CAMERAS_ALIGNMENT_10_centers_True                 32429           36063             16
CORRESPONDING_CAMERAS_ALIGNMENT_10_extrinsics_False              5548            8782             91
CORRESPONDING_CAMERAS_ALIGNMENT_10_extrinsics_True               6153            9752             82
CORRESPONDING_CAMERAS_ALIGNMENT_100_centers_False               33344           40398             16
CORRESPONDING_CAMERAS_ALIGNMENT_100_centers_True                34528           37095             15
CORRESPONDING_CAMERAS_ALIGNMENT_100_extrinsics_False             5576            7187             90
CORRESPONDING_CAMERAS_ALIGNMENT_100_extrinsics_True              6256            9166             80
CORRESPONDING_CAMERAS_ALIGNMENT_1000_centers_False              32020           37247             16
CORRESPONDING_CAMERAS_ALIGNMENT_1000_centers_True               32776           37644             16
CORRESPONDING_CAMERAS_ALIGNMENT_1000_extrinsics_False            5336            8795             94
CORRESPONDING_CAMERAS_ALIGNMENT_1000_extrinsics_True             6266            9929             80
--------------------------------------------------------------------------------
```

Reviewed By: shapovalov

Differential Revision: D22946415

fbshipit-source-id: 8caae7ee365b304d8aa1f8133cf0dd92c35bc0dd

Summary:
Efficient PnP algorithm to fit 2D to 3D correspondences under perspective assumption.

Benchmarked both variants of nullspace and pick one; SVD takes 7 times longer in the 100K points case.

Reviewed By: davnov134, gkioxari

Differential Revision: D20095754

fbshipit-source-id: 2b4519729630e6373820880272f674829eaed073