1224 Commits

Author SHA1 Message Date
Georgia Gkioxari
03f441e7ca run lint
Summary: Run `/dev/linter.sh` to fix linting

Reviewed By: nikhilaravi

Differential Revision: D20584037

fbshipit-source-id: 69e45b33d22e3d54b6d37c3c35580bb3e9dc50a5
2020-03-21 17:58:15 -07:00
Nikhila Ravi
6d34e1c60d Tutorial updates
Summary:
Add a note about the difference between naive and coarse-to-fine rasterization to all the rendering tutorials.

Update the render pointclouds tutorial to wget the data file.

Reviewed By: gkioxari

Differential Revision: D20575257

fbshipit-source-id: a2806b9452438f97cb754f87e011c6e32e2545e4
2020-03-20 18:26:49 -07:00
Georgia Gkioxari
6c48ff6ad9 replace view with reshape, check for nans
Summary: Replace view with reshape, add check for nans before mesh sampling

Reviewed By: nikhilaravi

Differential Revision: D20548456

fbshipit-source-id: c4e1b88e033ecb8f0f3a8f3a33a04ce13a5b5043
2020-03-19 19:31:41 -07:00
Olivia
53599770dd Accumulate points (#4)
Summary:
Code for accumulating points in the z-buffer in three ways:
1. weighted sum
2. normalised weighted sum
3. alpha compositing

Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/4

Reviewed By: nikhilaravi

Differential Revision: D20522422

Pulled By: gkioxari

fbshipit-source-id: 5023baa05f15e338f3821ef08f5552c2dcbfc06c
2020-03-19 11:23:12 -07:00
Patrick Labatut
5218f45c2c Add pattern linter for project names
Summary: Add pattern linter for PyTorch3D and SlowFast, this will suggest typo fixes whenever the wrong case is accidentally used.

Reviewed By: wanyenlo

Differential Revision: D20498696

fbshipit-source-id: 1a3f4702bd0dbe06e81d0f301b3ea38ea62e7885
2020-03-18 11:39:31 -07:00
Georgia Gkioxari
eeb6bd3b09
Merge pull request #114 from nikhilaravi/fixup-T64213310-master
Re-sync with internal repository
2020-03-18 10:39:17 -07:00
Nikhila Ravi
3d3b2fdc46 Re-sync with internal repository 2020-03-18 10:35:27 -07:00
Dave Greenwood
2480723adf create extrinsic from eye point (#65)
Summary:
Create extrinsic parameters from eye point.
Create the rotation and translation from an eye point, look-at point and up vector.
see:
https://www.khronos.org/registry/OpenGL-Refpages/gl2.1/xhtml/gluLookAt.xml

It is arguably easier to initialise a camera position as a point in the world rather than an angle.
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/65

Reviewed By: bottler

Differential Revision: D20419652

Pulled By: nikhilaravi

fbshipit-source-id: 9caa1330860bb8bde1fb5c3864ed4cde836a5d19
2020-03-17 17:04:19 -07:00
Patrick Labatut
c9742d00b0 Enable spelling linter for Markdown, reStructuredText and IPython notebooks
Summary: Enable spelling linter for Markdown, reStructuredText and IPython notebooks under `fbcode/vision/fair`. Apply suggested fixes.

Reviewed By: ppwwyyxx

Differential Revision: D20495298

fbshipit-source-id: 95310c7b51f9fa68ba2aa34ecc39a874da36a75c
2020-03-17 16:33:20 -07:00
Nikhila Ravi
3901dbe4de website updates
Summary:
A few small website updates:

- changed the tutorials to point to the `stable` tag on github so we don't have to update the website each time we want to run them!
- changed the colab button
- re ran notebook cells to update the images for textured meshes

Once these fixes are landed I can build and publish the website.

Reviewed By: bottler

Differential Revision: D20484836

fbshipit-source-id: 603a05e752f631c60d1a3abb9adeb1b9b451ab98
2020-03-17 13:08:21 -07:00
Patrick Labatut
25d2e2c8b7 Use a consistent case for PyTorch3D
Summary: Use a consistent case for PyTorch3D (matching the logo...): replace all occurrences of PyTorch3d with PyTorch3D across the codebase (including documentation and notebooks)

Reviewed By: wanyenlo, gkioxari

Differential Revision: D20427546

fbshipit-source-id: 8c7697f51434c51e99b7fe271935932c72a1d9b9
2020-03-17 12:48:43 -07:00
Nikhila Ravi
5d3cc3569a Rendering texturing fixes
Summary:
Fix errors raised by issue on GitHub - extending mesh textures + rendering with Gourad and Phong shaders.

https://github.com/facebookresearch/pytorch3d/issues/97

Reviewed By: gkioxari

Differential Revision: D20319610

fbshipit-source-id: d1c692ff0b9397a77a9b829c5c731790de70c09f
2020-03-17 08:58:40 -07:00
Jeremy Reizenstein
f580ce1385 Fix BUILD_VERSION for conda
Summary: D20426113 made a mistake, in that it added a dev tag to all conda builds. This makes the simplest fix, which is to never have the dev tag.

Reviewed By: nikhilaravi

Differential Revision: D20468541

fbshipit-source-id: adc71b58d59356834d33f65a75cf8ba84359bc74
2020-03-16 11:43:37 -07:00
Jeremy Reizenstein
fa81953380 test_build
Summary: Ensure copyright header consistency and translation unit name uniqueness.

Reviewed By: nikhilaravi

Differential Revision: D20438802

fbshipit-source-id: 9820cfe4c6efab016a0a8589dfa24bb526692f83
2020-03-16 07:54:56 -07:00
Nikhila Ravi
20e457ca0e [pytorch3d[ padded to packed function in struct utils
Summary: Added a padded to packed utils function which takes either split sizes or a padding value to remove padded elements from a tensor.

Reviewed By: gkioxari

Differential Revision: D20454238

fbshipit-source-id: 180b807ff44c74c4ee9d5c1ac3b5c4a9b4be57c7
2020-03-15 09:35:58 -07:00
Jeremy Reizenstein
4d3c886677 Version number in one place in the code.
Summary:
This isn't the whole task, but it gets the version number into far fewer places.

The doc / website are separate.

Reviewed By: nikhilaravi

Differential Revision: D20426113

fbshipit-source-id: 5810d1eca58b443fcd5f46991dc2f0f26adedbd8
2020-03-13 04:40:20 -07:00
Jeremy Reizenstein
2361845548 squared distance in comments
Summary: Comments were describing squared distance as absolute distance in a few places.

Reviewed By: nikhilaravi

Differential Revision: D20426020

fbshipit-source-id: 009946867c4a98f61f5ce7158542d41e22bf8346
2020-03-13 04:35:25 -07:00
Patrick Labatut
d91c1d365b Add more complex mesh I/O benchmarks
Summary: Add more complex mesh I/O benchmarks: simple yet non-trivial procedural donut mesh

Reviewed By: nikhilaravi

Differential Revision: D20390726

fbshipit-source-id: b28b7e3a7f1720823c6bd24faabf688bb0127b7d
2020-03-13 04:31:25 -07:00
Patrick Labatut
327868b86e Add utility function to tesselate a torus
Summary: Add utility function to tesselate a torus, to be used in more complex mesh I/O benchmarks

Reviewed By: bottler

Differential Revision: D20390724

fbshipit-source-id: 882bbbe9cac81cf340a34495b9aa66e3c1ddeebc
2020-03-13 04:31:25 -07:00
Patrick Labatut
098554d323 Use more realistic number of vertices / faces in benchmarks
Summary: Use more realistic number of vertices / faces in benchmarks: in typical meshes, |F| ~ 2 |V| (follows from Euler formula + triangles as faces)

Reviewed By: nikhilaravi

Differential Revision: D20390722

fbshipit-source-id: d615e5810d6f4521391963b2573497c08a58db80
2020-03-12 10:39:45 -07:00
Patrick Labatut
94fc862ff7 Simplify mesh I/O benchmarking methods
Summary: Rename mesh I/O benchmarking methods: always (re-)create file-like object and directly return a lambda

Reviewed By: nikhilaravi

Differential Revision: D20390723

fbshipit-source-id: b45236360869cccdf3d5458a0aafb3ebe269babe
2020-03-12 10:39:45 -07:00
Patrick Labatut
797e468e45 Rename mesh I/O benchmarks and associated methods
Summary:
Rename mesh I/O benchmarks and associated methods:
- add `simple` qualifier (benchmark on more realistic mesh data to be added later)
- align naming between OBJ and PLY
- prefix with `bm_` to make the benchmarking purpose clear(er)

Reviewed By: nikhilaravi

Differential Revision: D20390764

fbshipit-source-id: 7714520abfcfe1125067f3c52f7ce19bca359574
2020-03-12 10:39:45 -07:00
Patrick Labatut
3c71ab64cc Remove shebang line when not strictly required
Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase.

Reviewed By: nikhilaravi

Differential Revision: D20095778

fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a
2020-03-12 10:39:44 -07:00
Nikhila Ravi
d01e722849 Fix coordinate system conventions in point cloud renderer
Summary:
Applying the changes added for mesh rasterization to ensure that +Y is up and +X is left so that the coordinate system is right handed.

Also updated the diagram in the docs to indicate that (0,0) is in the top left hand corner.

Reviewed By: gkioxari

Differential Revision: D20394849

fbshipit-source-id: cfb7c79090eb1f55ad38b92327a74a70a8dc541e
2020-03-12 07:48:29 -07:00
Nikhila Ravi
32ad869dea Update point cloud rasterizer to support heterogeneous point clouds
Summary:
Update the point cloud rasterizer to:
- use the pointcloud datastructure (rebased on top of D19791851.)
- support rasterization of heterogeneous point clouds in the same way as with Meshes.

The main changes to the API will be as follows:
- The input to `rasterize_points` will be a `Pointclouds` object instead of a tensor. This will be easy to update e.g.
```
points = torch.randn(N, P, 3)
idx2, zbuf2, dists2 = rasterize_points(points, image_size, radius, points_per_pixel)

points = torch.randn(N, P, 3)
pointclouds = Pointclouds(points=points)
idx2, zbuf2, dists2 = rasterize_points(pointclouds, image_size, radius, points_per_pixel)
```

- The indices output from rasterization will now refer to points in `poinclouds.points_packed()`.
This may require some changes to the functions which consume the outputs of rasterization if they were previously
assuming that the indices ranged from 0 to P where P is the number of points in each pointcloud.

Making this change now so that Olivia can update her PR accordingly.

Reviewed By: gkioxari

Differential Revision: D20088651

fbshipit-source-id: 833ed659909712bcbbb6a50e2ec0189839f0413a
2020-03-12 07:48:29 -07:00
Roman Shapovalov
cae325718e Old-style string formatting fails when passed a tuple.
Summary: When the error occurs, another exception is thrown when tensor shape is passed to the % formatting. I have found all entries for `msg %` and fixed potential failures

Reviewed By: nikhilaravi

Differential Revision: D20386511

fbshipit-source-id: c05413eb4867cab1ddc9615dffbd0ebd3adfcaf9
2020-03-11 11:17:58 -07:00
Jeremy Reizenstein
fb97ab104e getitem for textures
Summary: Make Meshes.__getitem__ carry texture information to the new mesh.

Reviewed By: gkioxari

Differential Revision: D20283976

fbshipit-source-id: d9ee0580c11ac5b4384df9d8158a07e6eb8d00fe
2020-03-11 07:45:44 -07:00
Jeremy Reizenstein
5a1d7143d8 post-release v0.1.1 updates.
Reviewed By: nikhilaravi

Differential Revision: D20218481

fbshipit-source-id: b153282cc30ad75de970c89ae64526b6be62ee95
2020-03-09 06:37:50 -07:00
Georgia Gkioxari
112d32eaf0 Add more DR citations
Summary: Add more DR citations

Reviewed By: nikhilaravi

Differential Revision: D20330205

fbshipit-source-id: 4fb95d422371ae9ff5cdc2693736e36799201477
2020-03-08 14:53:22 -07:00
Jeremy Reizenstein
cf8e667b61 version 0.1.1
Summary: Bumping the version number to 0.1.1 and thereby documenting all the places where the version number currently appears in the code.

Reviewed By: nikhilaravi

Differential Revision: D20067382

fbshipit-source-id: 76a25ed1d4036f51357e4ae3e0f07de32ad114ae
v0.1.1
2020-03-07 12:42:43 -08:00
Nikhila Ravi
15c72be444 Fix coordinate system conventions in renderer
Summary:
## Updates

- Defined the world and camera coordinates according to this figure. The world coordinates are defined as having +Y up, +X left and +Z in.

{F230888499}

- Removed all flipping from blending functions.
- Updated the rasterizer to return images with +Y up and +X left.
- Updated all the mesh rasterizer tests
    - The expected values are now defined in terms of the default +Y up, +X left
    - Added tests where the triangles in the meshes are non symmetrical so that it is clear which direction +X and +Y are

## Questions:
- Should we have **scene settings** instead of raster settings?
    - To be more correct we should be [z clipping in the rasterizer based on the far/near clipping planes](https://github.com/ShichenLiu/SoftRas/blob/master/soft_renderer/cuda/soft_rasterize_cuda_kernel.cu#L400) - these values are also required in the blending functions so should we make these scene level parameters and have a scene settings tuple which is available to the rasterizer and shader?

Reviewed By: gkioxari

Differential Revision: D20208604

fbshipit-source-id: 55787301b1bffa0afa9618f0a0886cc681da51f3
2020-03-06 06:51:05 -08:00
Georgia Gkioxari
767d68a3af pointcloud structure
Summary:
Revisions to Poincloud data structure with added normals

The biggest changes form the previous version include:
a) If the user provides tensor inputs, we make no assumption about padding. Padding is only for internal use for us to convert from list to padded
b) If features are not provided or if the poincloud is empty, all forms of features are None. This is so that we don't waste memory on holding dummy tensors.

Reviewed By: nikhilaravi

Differential Revision: D19791851

fbshipit-source-id: 7e182f7bb14395cb966531653f6dd6b328fd999c
2020-03-04 13:16:43 -08:00
Nikhila Ravi
ba11c0b59c Blending fixes and test updates
Summary:
Changed `torch.cumprod` to `torch.prod` in blending functions and added more tests and benchmark tests.

This should fix the issue raised on GitHub.

Reviewed By: gkioxari

Differential Revision: D20163073

fbshipit-source-id: 4569fd37be11aa4435a3ce8736b55622c00ec718
2020-02-29 17:52:05 -08:00
Nikhila Ravi
ff19c642cb Barycentric clipping in the renderer and flat shading
Summary:
Updates to the Renderer to enable barycentric clipping. This is important when there is blurring in the rasterization step.

Also added support for flat shading.

Reviewed By: jcjohnson

Differential Revision: D19934259

fbshipit-source-id: 036e48636cd80d28a04405d7a29fcc71a2982904
2020-02-28 21:30:33 -08:00
takiyu
f358b9b14d Fix squared distance for CPU impl. (#83)
Summary:
`PointLineDistanceForward()` should return squared distance. However, it seems that it returned non-squared distance when `v0` was near by `v1` in CPU implementation.
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/83

Reviewed By: bottler

Differential Revision: D20097181

Pulled By: nikhilaravi

fbshipit-source-id: 7ea851c0837ab89364e42d283c999df21ff5ff02
2020-02-25 14:00:00 -08:00
Dave Greenwood
a0f3dc2d63 allow changes to background_color in BlendParams (#64)
Summary:
BlendParams background_color is immutable , type hint as a sequence allows setting new values in constructor.
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/64

Reviewed By: bottler

Differential Revision: D20068911

Pulled By: nikhilaravi

fbshipit-source-id: c580a7654dca25629218513841aa16d9d1055588
2020-02-24 13:44:02 -08:00
Jeremy Reizenstein
4233c32887 cpu wheel builds for linux and mac
Reviewed By: nikhilaravi

Differential Revision: D20073426

fbshipit-source-id: fce83c9b63d630de1e6ebe2ff4790f29d11b65cc
2020-02-24 13:38:09 -08:00
Tyler Barron
40be4cf78b Update bundle_adjustment.ipynb (#81)
Summary:
*: Fixed references to colors in the diagram
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/81

Reviewed By: bottler

Differential Revision: D20064048

Pulled By: nikhilaravi

fbshipit-source-id: a70ee446f1223ec900072a2380c75ed95fb4431d
2020-02-24 12:13:55 -08:00
Jeremy Reizenstein
dab7f61a12 CI updates
Summary: Document existence of nightly build. Fix some mistakes in windows-related CI code (not running yet).

Reviewed By: nikhilaravi

Differential Revision: D20030293

fbshipit-source-id: 2199ea7c6d34e881aa5641726feb6bfc20337ce3
2020-02-24 09:13:31 -08:00
Georgia Gkioxari
c2a0a3e3ba fix docstring of mesh edge loss
Summary: Fix docstring for mesh edge loss

Reviewed By: jcjohnson

Differential Revision: D20040560

fbshipit-source-id: 01a3ee9473c7d11583684bf4cd200caa1d3f0260
2020-02-21 15:55:37 -08:00
Jeremy Reizenstein
e491efb81f lint things
Summary:
Lint related fixes: Improve internal/OSS consistency. Fix the fight between black and certain pyre-ignore markers by moving them to the line before.
Use clang-format-8 automatically if present. Small number of pyre fixes.

arc doesn't run pyre at the moment, so I put back the explicit call to pyre. I don't know if there's an option somewhere to change this.

Reviewed By: nikhilaravi

Differential Revision: D19780518

fbshipit-source-id: ef1c243392322fa074130f6cff2dd8a6f7738a7f
2020-02-21 05:05:06 -08:00
merayxu
9e21659fc5 Fixed windows MSVC build compatibility (#9)
Summary:
Fixed a few MSVC compiler (visual studio 2019, MSVC 19.16.27034) compatibility issues
1. Replaced long with int64_t. aten::data_ptr\<long\> is not supported in MSVC
2. pytorch3d/csrc/rasterize_points/rasterize_points_cpu.cpp, inline function is not correctly recognized by MSVC.
3. pytorch3d/csrc/rasterize_meshes/geometry_utils.cuh
const auto kEpsilon = 1e-30;
MSVC does not compile this const into both host and device, change to a MACRO.
4. pytorch3d/csrc/rasterize_meshes/geometry_utils.cuh,
const float area2 = pow(area, 2.0);
2.0 is considered as double by MSVC and raised an error
5. pytorch3d/csrc/rasterize_points/rasterize_points_cpu.cpp
std::tuple<torch::Tensor, torch::Tensor> RasterizePointsCoarseCpu() return type does not match the declaration in rasterize_points_cpu.h.
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/9

Reviewed By: nikhilaravi

Differential Revision: D19986567

Pulled By: yuanluxu

fbshipit-source-id: f4d98525d088c99c513b85193db6f0fc69c7f017
2020-02-20 18:43:19 -08:00
Georgia Gkioxari
a3baa367e3 face areas backward
Summary:
Added backward for mesh face areas & normals. Exposed it as a layer. Replaced the computation with the new op in Meshes and in Sample Points.

Current issue: Circular imports. I moved the import of the op in meshes inside the function scope.

Reviewed By: jcjohnson

Differential Revision: D19920082

fbshipit-source-id: d213226d5e1d19a0c8452f4d32771d07e8b91c0a
2020-02-20 11:11:33 -08:00
Patrick Labatut
9ca5489107 Fix spelling of "Gouraud"
Summary: Fix spelling of *Gouraud* in [Gouraud shading](https://en.wikipedia.org/wiki/Gouraud_shading).

Reviewed By: nikhilaravi

Differential Revision: D19943547

fbshipit-source-id: 5c016b7b051a7b33a7b68ed5303b642d9e834bbd
2020-02-20 01:11:56 -08:00
Nikhila Ravi
f0dc65110a Shader API more consistent naming
Summary:
Renamed shaders to be prefixed with Hard/Soft depending on if they use a probabalistic blending (Soft) or use the closest face (Hard).

There is some code duplication but I thought it would be cleaner to have separate shaders for each task rather than:
- inheritance (which we discussed previously that we want to avoid)
- boolean (hard/soft) or a string (hard/soft) - new blending functions other than the ones provided would need if statements in the current shaders which might get messy.

Also added a `flat_shading` function and a `FlatShader` - I could make this into a tutorial as it was really easy to add a new shader and it might be a nice showcase.

NOTE: There are a few more places where the naming will need to change (e.g the tutorials) but I wanted to reach a consensus on this before changing it everywhere.

Reviewed By: jcjohnson

Differential Revision: D19761036

fbshipit-source-id: f972f6530c7f66dc5550b0284c191abc4a7f6fc4
2020-02-19 23:16:50 -08:00
Georgia Gkioxari
60f3c4e7d2 cpp support for packed to padded
Summary:
Cpu implementation for packed to padded and added gradients
```
Benchmark                                     Avg Time(μs)      Peak Time(μs) Iterations
--------------------------------------------------------------------------------
PACKED_TO_PADDED_2_100_300_1_cpu                    138             221           3625
PACKED_TO_PADDED_2_100_300_1_cuda:0                 184             261           2716
PACKED_TO_PADDED_2_100_300_16_cpu                   555             726            901
PACKED_TO_PADDED_2_100_300_16_cuda:0                179             260           2794
PACKED_TO_PADDED_2_100_3000_1_cpu                   396             519           1262
PACKED_TO_PADDED_2_100_3000_1_cuda:0                181             274           2764
PACKED_TO_PADDED_2_100_3000_16_cpu                 4517            5003            111
PACKED_TO_PADDED_2_100_3000_16_cuda:0               224             397           2235
PACKED_TO_PADDED_2_1000_300_1_cpu                   138             212           3616
PACKED_TO_PADDED_2_1000_300_1_cuda:0                180             282           2775
PACKED_TO_PADDED_2_1000_300_16_cpu                  565             711            885
PACKED_TO_PADDED_2_1000_300_16_cuda:0               179             264           2797
PACKED_TO_PADDED_2_1000_3000_1_cpu                  389             494           1287
PACKED_TO_PADDED_2_1000_3000_1_cuda:0               180             271           2777
PACKED_TO_PADDED_2_1000_3000_16_cpu                4522            5170            111
PACKED_TO_PADDED_2_1000_3000_16_cuda:0              216             286           2313
PACKED_TO_PADDED_10_100_300_1_cpu                   251             345           1995
PACKED_TO_PADDED_10_100_300_1_cuda:0                178             262           2806
PACKED_TO_PADDED_10_100_300_16_cpu                 2354            2750            213
PACKED_TO_PADDED_10_100_300_16_cuda:0               178             291           2814
PACKED_TO_PADDED_10_100_3000_1_cpu                 1519            1786            330
PACKED_TO_PADDED_10_100_3000_1_cuda:0               179             237           2791
PACKED_TO_PADDED_10_100_3000_16_cpu               24705           25879             21
PACKED_TO_PADDED_10_100_3000_16_cuda:0              228             316           2191
PACKED_TO_PADDED_10_1000_300_1_cpu                  261             432           1919
PACKED_TO_PADDED_10_1000_300_1_cuda:0               181             261           2756
PACKED_TO_PADDED_10_1000_300_16_cpu                2349            2770            213
PACKED_TO_PADDED_10_1000_300_16_cuda:0              180             256           2782
PACKED_TO_PADDED_10_1000_3000_1_cpu                1613            1929            310
PACKED_TO_PADDED_10_1000_3000_1_cuda:0              183             253           2739
PACKED_TO_PADDED_10_1000_3000_16_cpu              22041           23653             23
PACKED_TO_PADDED_10_1000_3000_16_cuda:0             220             343           2270
PACKED_TO_PADDED_32_100_300_1_cpu                   555             750            901
PACKED_TO_PADDED_32_100_300_1_cuda:0                188             282           2661
PACKED_TO_PADDED_32_100_300_16_cpu                 7550            8131             67
PACKED_TO_PADDED_32_100_300_16_cuda:0               181             272           2770
PACKED_TO_PADDED_32_100_3000_1_cpu                 4574            6327            110
PACKED_TO_PADDED_32_100_3000_1_cuda:0               173             254           2884
PACKED_TO_PADDED_32_100_3000_16_cpu               70366           72563              8
PACKED_TO_PADDED_32_100_3000_16_cuda:0              349             654           1433
PACKED_TO_PADDED_32_1000_300_1_cpu                  612             728            818
PACKED_TO_PADDED_32_1000_300_1_cuda:0               189             295           2647
PACKED_TO_PADDED_32_1000_300_16_cpu                7699            8254             65
PACKED_TO_PADDED_32_1000_300_16_cuda:0              189             311           2646
PACKED_TO_PADDED_32_1000_3000_1_cpu                5105            5261             98
PACKED_TO_PADDED_32_1000_3000_1_cuda:0              191             260           2625
PACKED_TO_PADDED_32_1000_3000_16_cpu              87073           92708              6
PACKED_TO_PADDED_32_1000_3000_16_cuda:0             344             425           1455
--------------------------------------------------------------------------------

Benchmark                                           Avg Time(μs)      Peak Time(μs) Iterations
--------------------------------------------------------------------------------
PACKED_TO_PADDED_TORCH_2_100_300_1_cpu                    492             627           1016
PACKED_TO_PADDED_TORCH_2_100_300_1_cuda:0                 768             975            652
PACKED_TO_PADDED_TORCH_2_100_300_16_cpu                   659             804            760
PACKED_TO_PADDED_TORCH_2_100_300_16_cuda:0                781             918            641
PACKED_TO_PADDED_TORCH_2_100_3000_1_cpu                   624             734            802
PACKED_TO_PADDED_TORCH_2_100_3000_1_cuda:0                778             929            643
PACKED_TO_PADDED_TORCH_2_100_3000_16_cpu                 2609            2850            192
PACKED_TO_PADDED_TORCH_2_100_3000_16_cuda:0               758             901            660
PACKED_TO_PADDED_TORCH_2_1000_300_1_cpu                   467             612           1072
PACKED_TO_PADDED_TORCH_2_1000_300_1_cuda:0                772             905            648
PACKED_TO_PADDED_TORCH_2_1000_300_16_cpu                  689             839            726
PACKED_TO_PADDED_TORCH_2_1000_300_16_cuda:0               789            1143            635
PACKED_TO_PADDED_TORCH_2_1000_3000_1_cpu                  629             735            795
PACKED_TO_PADDED_TORCH_2_1000_3000_1_cuda:0               812             916            616
PACKED_TO_PADDED_TORCH_2_1000_3000_16_cpu                2716            3117            185
PACKED_TO_PADDED_TORCH_2_1000_3000_16_cuda:0              844            1288            593
PACKED_TO_PADDED_TORCH_10_100_300_1_cpu                  2387            2557            210
PACKED_TO_PADDED_TORCH_10_100_300_1_cuda:0               4112            4993            122
PACKED_TO_PADDED_TORCH_10_100_300_16_cpu                 3385            4254            148
PACKED_TO_PADDED_TORCH_10_100_300_16_cuda:0              3959            4902            127
PACKED_TO_PADDED_TORCH_10_100_3000_1_cpu                 2918            3105            172
PACKED_TO_PADDED_TORCH_10_100_3000_1_cuda:0              4054            4450            124
PACKED_TO_PADDED_TORCH_10_100_3000_16_cpu               12748           13623             40
PACKED_TO_PADDED_TORCH_10_100_3000_16_cuda:0             4023            4395            125
PACKED_TO_PADDED_TORCH_10_1000_300_1_cpu                 2258            2492            222
PACKED_TO_PADDED_TORCH_10_1000_300_1_cuda:0              3997            4312            126
PACKED_TO_PADDED_TORCH_10_1000_300_16_cpu                3404            3597            147
PACKED_TO_PADDED_TORCH_10_1000_300_16_cuda:0             3877            4227            129
PACKED_TO_PADDED_TORCH_10_1000_3000_1_cpu                2789            3054            180
PACKED_TO_PADDED_TORCH_10_1000_3000_1_cuda:0             3821            4402            131
PACKED_TO_PADDED_TORCH_10_1000_3000_16_cpu              11967           12963             42
PACKED_TO_PADDED_TORCH_10_1000_3000_16_cuda:0            3729            4290            135
PACKED_TO_PADDED_TORCH_32_100_300_1_cpu                  6933            8152             73
PACKED_TO_PADDED_TORCH_32_100_300_1_cuda:0              11856           12287             43
PACKED_TO_PADDED_TORCH_32_100_300_16_cpu                 9895           11205             51
PACKED_TO_PADDED_TORCH_32_100_300_16_cuda:0             12354           13596             41
PACKED_TO_PADDED_TORCH_32_100_3000_1_cpu                 9516           10128             53
PACKED_TO_PADDED_TORCH_32_100_3000_1_cuda:0             12917           13597             39
PACKED_TO_PADDED_TORCH_32_100_3000_16_cpu               41209           43783             13
PACKED_TO_PADDED_TORCH_32_100_3000_16_cuda:0            12210           13288             41
PACKED_TO_PADDED_TORCH_32_1000_300_1_cpu                 7179            7689             70
PACKED_TO_PADDED_TORCH_32_1000_300_1_cuda:0             11896           12381             43
PACKED_TO_PADDED_TORCH_32_1000_300_16_cpu               10127           15494             50
PACKED_TO_PADDED_TORCH_32_1000_300_16_cuda:0            12034           12817             42
PACKED_TO_PADDED_TORCH_32_1000_3000_1_cpu                8743           10251             58
PACKED_TO_PADDED_TORCH_32_1000_3000_1_cuda:0            12023           12908             42
PACKED_TO_PADDED_TORCH_32_1000_3000_16_cpu              39071           41777             13
PACKED_TO_PADDED_TORCH_32_1000_3000_16_cuda:0           11999           13690             42
--------------------------------------------------------------------------------
```

Reviewed By: bottler, nikhilaravi, jcjohnson

Differential Revision: D19870575

fbshipit-source-id: 23a2477b73373c411899633386c87ab034c3702a
2020-02-19 10:48:54 -08:00
Nikhila Ravi
8301163d24 transforms 3d convention fix
Summary: Fixed the rotation matrices generated by the RotateAxisAngle class and updated the tests. Added documentation for Transforms3d to clarify the conventions.

Reviewed By: gkioxari

Differential Revision: D19912903

fbshipit-source-id: c64926ce4e1381b145811557c32b73663d6d92d1
2020-02-19 10:32:44 -08:00
Jeremy Reizenstein
bdc2bb578c MACOSX_DEPLOYMENT_TARGET=10.14
Summary:
pybind now seems to need C++17 on a mac, so advise people to use it. (Also delete an unused variable to silence a warning I got on a mac build.)

Reported in github issue #68.

Reviewed By: nikhilaravi

Differential Revision: D19970512

fbshipit-source-id: f9be20c8ed425bd6ba8d009a7d62dad658dccdb1
2020-02-19 08:43:50 -08:00
Chr1k0
234658901a Update obj_io.py: Make PyTorch3D work with ShapeNetCore.v2 (#49)
Summary:
Making PyTorch3D work with ShapeNetCore.v2 models from http://shapenet.cs.stanford.edu/shapenet/obj-zip/ShapeNetCore.v2/
The face identifier of the ShapeNetCore.v2 models is followed by two not one blank - example:
"f  1/1/1 2/2/2 3/3/3" instead of
"f 1/1/1 2/2/2 3/3/3"
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/49

Differential Revision: D19951828

Pulled By: gkioxari

fbshipit-source-id: 5695df0fca2059e75eeb73edf4cfe9d9f008e841
2020-02-18 11:11:58 -08:00
Junior Rojas
3ba4398095 Fix typo (#54)
Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/54

Differential Revision: D19951851

Pulled By: gkioxari

fbshipit-source-id: cf41d5806c761639d1efa42a633404b248486c30
2020-02-18 10:15:16 -08:00