generatedunixname1417043136753450
0e435c297c
fbcode/vision/fair/pytorch3d/pytorch3d/ops/points_alignment.py
...
Reviewed By: sgrigory
Differential Revision: D93712744
fbshipit-source-id: 660560cdef9ff1d2173ae06de54df31766ee537f
2026-02-23 12:28:37 -08:00
Conner Nilsen
a27755db41
Pyre Configurationless migration for] [batch:85/112] [shard:6/N]
...
Reviewed By: inseokhwang
Differential Revision: D54438157
fbshipit-source-id: a6acfe146ed29fff82123b5e458906d4b4cee6a2
2024-03-04 18:30:37 -08:00
Jeremy Reizenstein
8e0c82b89a
lint fix: raise from None
...
Summary: New linter warning is complaining about `raise` inside `except`.
Reviewed By: kjchalup
Differential Revision: D37819264
fbshipit-source-id: 56ad5d0558ea39e1125f3c76b43b7376aea2bc7c
2022-07-14 04:21:44 -07:00
Pyre Bot Jr
7978ffd1e4
suppress errors in vision/fair/pytorch3d
...
Differential Revision: D37172764
fbshipit-source-id: a2ec367e56de2781a17f5e708eb5832ec9d7e6b4
2022-06-15 06:27:35 -07:00
Tim Hatch
34bbb3ad32
apply import merging for fbcode/vision/fair (2 of 2)
...
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
2022-04-13 06:51:33 -07:00
Jeremy Reizenstein
9eeb456e82
Update license for company name
...
Summary: Update all FB license strings to the new format.
Reviewed By: patricklabatut
Differential Revision: D33403538
fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
2022-01-04 11:43:38 -08:00
Patrick Labatut
af93f34834
License lint codebase
...
Summary: License lint codebase
Reviewed By: theschnitz
Differential Revision: D29001799
fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909
2021-06-22 03:45:27 -07:00
Jeremy Reizenstein
06ad1fb6c4
KNN return order documentation
...
Summary: Fix documentation of KNN, issue #180
Reviewed By: gkioxari
Differential Revision: D21384761
fbshipit-source-id: 2b36ee496f2060d17827d2fd66c490cdfa766866
2020-05-04 13:37:25 -07:00
David Novotny
8abbe22ffb
ICP - point-to-point version
...
Summary:
The iterative closest point algorithm - point-to-point version.
Output of `bm_iterative_closest_point`:
Argument key: `batch_size dim n_points_X n_points_Y use_pointclouds`
```
Benchmark Avg Time(μs) Peak Time(μs) Iterations
--------------------------------------------------------------------------------
IterativeClosestPoint_1_3_100_100_False 107569 111323 5
IterativeClosestPoint_1_3_100_1000_False 118972 122306 5
IterativeClosestPoint_1_3_1000_100_False 108576 110978 5
IterativeClosestPoint_1_3_1000_1000_False 331836 333515 2
IterativeClosestPoint_1_20_100_100_False 134387 137842 4
IterativeClosestPoint_1_20_100_1000_False 149218 153405 4
IterativeClosestPoint_1_20_1000_100_False 414248 416595 2
IterativeClosestPoint_1_20_1000_1000_False 374318 374662 2
IterativeClosestPoint_10_3_100_100_False 539852 539852 1
IterativeClosestPoint_10_3_100_1000_False 752784 752784 1
IterativeClosestPoint_10_3_1000_100_False 1070700 1070700 1
IterativeClosestPoint_10_3_1000_1000_False 1164020 1164020 1
IterativeClosestPoint_10_20_100_100_False 374548 377337 2
IterativeClosestPoint_10_20_100_1000_False 472764 476685 2
IterativeClosestPoint_10_20_1000_100_False 1457175 1457175 1
IterativeClosestPoint_10_20_1000_1000_False 2195820 2195820 1
IterativeClosestPoint_1_3_100_100_True 110084 115824 5
IterativeClosestPoint_1_3_100_1000_True 142728 147696 4
IterativeClosestPoint_1_3_1000_100_True 212966 213966 3
IterativeClosestPoint_1_3_1000_1000_True 369130 375114 2
IterativeClosestPoint_10_3_100_100_True 354615 355179 2
IterativeClosestPoint_10_3_100_1000_True 451815 452704 2
IterativeClosestPoint_10_3_1000_100_True 511833 511833 1
IterativeClosestPoint_10_3_1000_1000_True 798453 798453 1
--------------------------------------------------------------------------------
```
Reviewed By: shapovalov, gkioxari
Differential Revision: D19909952
fbshipit-source-id: f77fadc88fb7c53999909d594114b182ee2a3def
2020-04-16 14:02:16 -07:00
Jeremy Reizenstein
b87058c62a
fix recent lint
...
Summary: lint clean again
Reviewed By: patricklabatut
Differential Revision: D20868775
fbshipit-source-id: ade4301c1012c5c6943186432465215701d635a9
2020-04-06 06:41:00 -07:00
Roman Shapovalov
e37085d999
Weighted Umeyama.
...
Summary:
1. Introduced weights to Umeyama implementation. This will be needed for weighted ePnP but is useful on its own.
2. Refactored to use the same code for the Pointclouds mask and passed weights.
3. Added test cases with random weights.
4. Fixed a bug in tests that calls the function with 0 points (fails randomly in Pytorch 1.3, will be fixed in the next release: https://github.com/pytorch/pytorch/issues/31421 ).
Reviewed By: gkioxari
Differential Revision: D20070293
fbshipit-source-id: e9f549507ef6dcaa0688a0f17342e6d7a9a4336c
2020-04-03 02:59:11 -07:00
David Novotny
e5b1d6d3a3
Umeyama
...
Summary:
Umeyama estimates a rigid motion between two sets of corresponding points.
Benchmark output for `bm_points_alignment`
```
Arguments key: [<allow_reflection>_<batch_size>_<dim>_<estimate_scale>_<n_points>_<use_pointclouds>]
Benchmark Avg Time(μs) Peak Time(μs) Iterations
--------------------------------------------------------------------------------
CorrespodingPointsAlignment_True_1_3_True_100_False 7382 9833 68
CorrespodingPointsAlignment_True_1_3_True_10000_False 8183 10500 62
CorrespodingPointsAlignment_True_1_3_False_100_False 7301 9263 69
CorrespodingPointsAlignment_True_1_3_False_10000_False 7945 9746 64
CorrespodingPointsAlignment_True_1_20_True_100_False 13706 41623 37
CorrespodingPointsAlignment_True_1_20_True_10000_False 11044 33766 46
CorrespodingPointsAlignment_True_1_20_False_100_False 9908 28791 51
CorrespodingPointsAlignment_True_1_20_False_10000_False 9523 18680 53
CorrespodingPointsAlignment_True_10_3_True_100_False 29585 32026 17
CorrespodingPointsAlignment_True_10_3_True_10000_False 29626 36324 18
CorrespodingPointsAlignment_True_10_3_False_100_False 26013 29253 20
CorrespodingPointsAlignment_True_10_3_False_10000_False 25000 33820 20
CorrespodingPointsAlignment_True_10_20_True_100_False 40955 41592 13
CorrespodingPointsAlignment_True_10_20_True_10000_False 42087 42393 12
CorrespodingPointsAlignment_True_10_20_False_100_False 39863 40381 13
CorrespodingPointsAlignment_True_10_20_False_10000_False 40813 41699 13
CorrespodingPointsAlignment_True_100_3_True_100_False 183146 194745 3
CorrespodingPointsAlignment_True_100_3_True_10000_False 213789 231466 3
CorrespodingPointsAlignment_True_100_3_False_100_False 177805 180796 3
CorrespodingPointsAlignment_True_100_3_False_10000_False 184963 185695 3
CorrespodingPointsAlignment_True_100_20_True_100_False 347181 347325 2
CorrespodingPointsAlignment_True_100_20_True_10000_False 363259 363613 2
CorrespodingPointsAlignment_True_100_20_False_100_False 351769 352496 2
CorrespodingPointsAlignment_True_100_20_False_10000_False 375629 379818 2
CorrespodingPointsAlignment_False_1_3_True_100_False 11155 13770 45
CorrespodingPointsAlignment_False_1_3_True_10000_False 10743 13938 47
CorrespodingPointsAlignment_False_1_3_False_100_False 9578 11511 53
CorrespodingPointsAlignment_False_1_3_False_10000_False 9549 11984 53
CorrespodingPointsAlignment_False_1_20_True_100_False 13809 14183 37
CorrespodingPointsAlignment_False_1_20_True_10000_False 14084 15082 36
CorrespodingPointsAlignment_False_1_20_False_100_False 12765 14177 40
CorrespodingPointsAlignment_False_1_20_False_10000_False 12811 13096 40
CorrespodingPointsAlignment_False_10_3_True_100_False 28823 39384 18
CorrespodingPointsAlignment_False_10_3_True_10000_False 27135 27525 19
CorrespodingPointsAlignment_False_10_3_False_100_False 26236 28980 20
CorrespodingPointsAlignment_False_10_3_False_10000_False 42324 45123 12
CorrespodingPointsAlignment_False_10_20_True_100_False 723902 723902 1
CorrespodingPointsAlignment_False_10_20_True_10000_False 220007 252886 3
CorrespodingPointsAlignment_False_10_20_False_100_False 55593 71636 9
CorrespodingPointsAlignment_False_10_20_False_10000_False 44419 71861 12
CorrespodingPointsAlignment_False_100_3_True_100_False 184768 185199 3
CorrespodingPointsAlignment_False_100_3_True_10000_False 198657 213868 3
CorrespodingPointsAlignment_False_100_3_False_100_False 224598 309645 3
CorrespodingPointsAlignment_False_100_3_False_10000_False 197863 202002 3
CorrespodingPointsAlignment_False_100_20_True_100_False 293484 309459 2
CorrespodingPointsAlignment_False_100_20_True_10000_False 327253 366644 2
CorrespodingPointsAlignment_False_100_20_False_100_False 420793 422194 2
CorrespodingPointsAlignment_False_100_20_False_10000_False 462634 485542 2
CorrespodingPointsAlignment_True_1_3_True_100_True 7664 9909 66
CorrespodingPointsAlignment_True_1_3_True_10000_True 7190 8366 70
CorrespodingPointsAlignment_True_1_3_False_100_True 6549 8316 77
CorrespodingPointsAlignment_True_1_3_False_10000_True 6534 7710 77
CorrespodingPointsAlignment_True_10_3_True_100_True 29052 32940 18
CorrespodingPointsAlignment_True_10_3_True_10000_True 30526 33453 17
CorrespodingPointsAlignment_True_10_3_False_100_True 28708 32993 18
CorrespodingPointsAlignment_True_10_3_False_10000_True 30630 35973 17
CorrespodingPointsAlignment_True_100_3_True_100_True 264909 320820 3
CorrespodingPointsAlignment_True_100_3_True_10000_True 310902 322604 2
CorrespodingPointsAlignment_True_100_3_False_100_True 246832 250634 3
CorrespodingPointsAlignment_True_100_3_False_10000_True 276006 289061 2
CorrespodingPointsAlignment_False_1_3_True_100_True 11421 13757 44
CorrespodingPointsAlignment_False_1_3_True_10000_True 11199 12532 45
CorrespodingPointsAlignment_False_1_3_False_100_True 11474 15841 44
CorrespodingPointsAlignment_False_1_3_False_10000_True 10384 13188 49
CorrespodingPointsAlignment_False_10_3_True_100_True 36599 47340 14
CorrespodingPointsAlignment_False_10_3_True_10000_True 40702 50754 13
CorrespodingPointsAlignment_False_10_3_False_100_True 41277 52149 13
CorrespodingPointsAlignment_False_10_3_False_10000_True 34286 37091 15
CorrespodingPointsAlignment_False_100_3_True_100_True 254991 258578 2
CorrespodingPointsAlignment_False_100_3_True_10000_True 257999 261285 2
CorrespodingPointsAlignment_False_100_3_False_100_True 247511 248693 3
CorrespodingPointsAlignment_False_100_3_False_10000_True 251807 263865 3
```
Reviewed By: gkioxari
Differential Revision: D19808389
fbshipit-source-id: 83305a58627d2fc5dcaf3c3015132d8148f28c29
2020-04-02 14:46:51 -07:00
