GitLab

Summary: Implements two basic raymarchers.

Reviewed By: gkioxari

Differential Revision: D24064250

fbshipit-source-id: 18071bd039995336b7410caa403ea29fafb5c66f

Summary:
Conversion from point clouds to volumes

```
Benchmark                                                        Avg Time(μs)      Peak Time(μs) Iterations
--------------------------------------------------------------------------------
ADD_POINTS_TO_VOLUMES_10_trilinear_[25, 25, 25]_1000                 43219           44067             12
ADD_POINTS_TO_VOLUMES_10_trilinear_[25, 25, 25]_10000                43274           45313             12
ADD_POINTS_TO_VOLUMES_10_trilinear_[25, 25, 25]_100000               46281           47100             11
ADD_POINTS_TO_VOLUMES_10_trilinear_[101, 111, 121]_1000              51224           51912             10
ADD_POINTS_TO_VOLUMES_10_trilinear_[101, 111, 121]_10000             52092           54487             10
ADD_POINTS_TO_VOLUMES_10_trilinear_[101, 111, 121]_100000            59262           60514              9
ADD_POINTS_TO_VOLUMES_10_nearest_[25, 25, 25]_1000                   15998           17237             32
ADD_POINTS_TO_VOLUMES_10_nearest_[25, 25, 25]_10000                  15964           16994             32
ADD_POINTS_TO_VOLUMES_10_nearest_[25, 25, 25]_100000                 16881           19286             30
ADD_POINTS_TO_VOLUMES_10_nearest_[101, 111, 121]_1000                19150           25277             27
ADD_POINTS_TO_VOLUMES_10_nearest_[101, 111, 121]_10000               18746           19999             27
ADD_POINTS_TO_VOLUMES_10_nearest_[101, 111, 121]_100000              22321           24568             23
ADD_POINTS_TO_VOLUMES_100_trilinear_[25, 25, 25]_1000                49693           50288             11
ADD_POINTS_TO_VOLUMES_100_trilinear_[25, 25, 25]_10000               51429           52449             10
ADD_POINTS_TO_VOLUMES_100_trilinear_[25, 25, 25]_100000             237076          237377              3
ADD_POINTS_TO_VOLUMES_100_trilinear_[101, 111, 121]_1000             81875           82597              7
ADD_POINTS_TO_VOLUMES_100_trilinear_[101, 111, 121]_10000           106671          107045              5
ADD_POINTS_TO_VOLUMES_100_trilinear_[101, 111, 121]_100000          483740          484607              2
ADD_POINTS_TO_VOLUMES_100_nearest_[25, 25, 25]_1000                  16667           18143             31
ADD_POINTS_TO_VOLUMES_100_nearest_[25, 25, 25]_10000                 17682           18922             29
ADD_POINTS_TO_VOLUMES_100_nearest_[25, 25, 25]_100000                65463           67116              8
ADD_POINTS_TO_VOLUMES_100_nearest_[101, 111, 121]_1000               48058           48826             11
ADD_POINTS_TO_VOLUMES_100_nearest_[101, 111, 121]_10000              53529           53998             10
ADD_POINTS_TO_VOLUMES_100_nearest_[101, 111, 121]_100000            123684          123901              5
--------------------------------------------------------------------------------
```

Output with `DEBUG=True`
{F338561209}

Reviewed By: nikhilaravi

Differential Revision: D22017500

fbshipit-source-id: ed3e8ed13940c593841d93211623dd533974012f

Summary: Implemented a data structure for volumes.

Reviewed By: gkioxari

Differential Revision: D20342920

fbshipit-source-id: ccc23eaa183ed8a4e9cd7674b4dcf31e8a65c3c6

Summary: Implements the `__getitem__` method for `Transform3D`

Reviewed By: nikhilaravi

Differential Revision: D23813975

fbshipit-source-id: 5da752ed8ea029ad0af58bb7a7856f0995519b7a

Differential Revision: D25777275

fbshipit-source-id: ca30fedca118ff22a8be5e29c4c4f21628c94579

Summary: Extends `list_to_padded`/`padded_to_list` to work for tensors with an arbitrary number of input dimensions.

Reviewed By: nikhilaravi, gkioxari

Differential Revision: D23813969

fbshipit-source-id: 52c212a2ecdb3c4dfb6ac47217715e07998f37f1

Summary: Now we use iopath, we need to find it from its own channel.

Reviewed By: nikhilaravi

Differential Revision: D25710499

fbshipit-source-id: 1c67eb6d5b009d35b65a3acd3ebff6e0e45fecc4

Differential Revision: D25702902

fbshipit-source-id: f0d6708ba917df85b575dfc5525c902b2cab7ea0

Summary:
Make no internal functions inside pytorch3d/io interpret str paths except using a PathManager from iopath which they have been given. This means we no longer use any global PathManager object and we no longer use fvcore's deprecated file_io.

To preserve the APIs, various top level functions create their own default-initialized PathManager object if they are not provided one.

Reviewed By: theschnitz

Differential Revision: D25372969

fbshipit-source-id: c176ee31439645fa54a157d6f1aef18b09501569

Summary: Allowing usort, isort and black to coexist without fighting means we can't have imports commented as deprecated from the same module as other imports.

Reviewed By: nikhilaravi

Differential Revision: D25372970

fbshipit-source-id: 637f5a0025c0df9fbec47cba73ce5387f4f8b467

Summary: Add ioPath as a dependency of PyTorch3D in preparation for using the new PathManager.

Reviewed By: nikhilaravi

Differential Revision: D25372971

fbshipit-source-id: d8aa661d2de975e747dd494edc42bf843990cf68

Summary: Use a more recent PyTorch to build the documentation.

Reviewed By: nikhilaravi

Differential Revision: D25679756

fbshipit-source-id: 83d647f709337110d39886eaa6aad2565d740c6d

Summary: This fixes a corner case for multi-radius handling for the pulsar backend. The additional dimensionality check ensures that the batched parsing for radiuses is only performed when appropriate.

Reviewed By: bottler

Differential Revision: D25387708

fbshipit-source-id: c486dcf327f812265b7ca8ca5ef5c6a31e6d4549

Summary:
Defines a function to run marching cubes algorithm on a single or batch of 3D scalar fields. Returns a mesh's faces and vertices.

UPDATES (12/18)
- Input data is now specified as a (B, D, H, W) tensor as opposed to a (B, W, H, D) tensor. This will now be compatible with the Volumes datastructure.
- Add an option to return output vertices in local coordinates instead of world coordinates.
Also added a small fix to remove the dype for device in Transforms3D - if passing in a torch.device instead of str it causes a pyre error.

Reviewed By: jcjohnson

Differential Revision: D24599019

fbshipit-source-id: 90554a200319fed8736a12371cc349e7108aacd0

Summary:
Fixes https://github.com/facebookresearch/pytorch3d/issues/484

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/486

Reviewed By: bottler

Differential Revision: D25620407

Pulled By: nikhilaravi

fbshipit-source-id: 9a29e4e717aebcca46e46ff5e7bb80a183a92836

Summary: Fixes the index out of bound errors for texture sampling from a texture atlas: when barycentric coordinates are 1.0, the integer index into the (R, R) per face texture map is R (max can only be R-1).

Reviewed By: gkioxari

Differential Revision: D25543803

fbshipit-source-id: 82d0935b981352b49c1d95d5a17f9cc88bad0a82

Summary:
Similar to non square image rasterization for meshes, apply the same updates to the pointcloud rasterizer.

Main API Change:
- PointRasterizationSettings now accepts a tuple/list of (H, W) for the image size.

Reviewed By: jcjohnson

Differential Revision: D25465206

fbshipit-source-id: 7370d83c431af1b972158cecae19d82364623380

Add check for verts and faces being on same device and also checks for pointclouds/features/normals being on the same device (#384)

Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/384

Test Plan: `test_meshes` and `test_points`

Reviewed By: gkioxari

Differential Revision: D24730524

Pulled By: nikhilaravi

fbshipit-source-id: acbd35be5d9f1b13b4d56f3db14f6e8c2c0f7596

Summary: Add `return self` to the `to` function for the renderer classes.

Reviewed By: bottler

Differential Revision: D25534487

fbshipit-source-id: e8dbd35524f0bd40e835439e93184b5a1f1532ca

Summary:
As for now, epsilon value is ignored, since `kwargs` are passed to constructor only

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/418

Reviewed By: gkioxari

Differential Revision: D24730500

Pulled By: nikhilaravi

fbshipit-source-id: 7cce820dbe14f8c74d3df4f18c45d50e228c6a45

Summary:
`INSTALL.md` On Windows, pip install from git does not work with single quotes. I replace them with double quote as those should work for any OS.

`camera_position_optimization_with_differentiable_rendering.ipynb` To extract the silhouette from the reference image, we need to reject white values, not black values, because the background of the ref is white:
![ref](https://user-images.githubusercontent.com/5802849/86496925-b72e9100-bd7f-11ea-9f61-72abb3efe1b5.png)

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/254

Reviewed By: gkioxari

Differential Revision: D23798508

Pulled By: nikhilaravi

fbshipit-source-id: 1fbec291c48c367539a8a4fea389a109aab49e3d

Summary: Add nightly linux conda builds with the new pytorch 1.7.1. This supports python 3.9.

Reviewed By: nikhilaravi

Differential Revision: D25532757

fbshipit-source-id: b734637063e148389951899450566275f3cf5831

Differential Revision: D25497975

fbshipit-source-id: 9f7aa8d1dd31fa62a428321394d8c97b2d9d937d

Summary: We have already uploaded a conda package of the cub 1.10.0 sources to our channel on anaconda. Here is the code we used.

Reviewed By: nikhilaravi

Differential Revision: D25395358

fbshipit-source-id: b58fd473fcafd425c98c9d7a7c32574f651383a0

Summary:
There are a couple of options for supporting non square images:
1) NDC stays at [-1, 1] in both directions with the distance calculations all modified by (W/H). There are a lot of distance based calculations (e.g. triangle areas for barycentric coordinates etc) so this requires changes in many places.
2) NDC is scaled by (W/H) so the smallest side has [-1, 1]. In this case none of the distance calculations need to be updated and only the pixel to NDC calculation needs to be modified.

I decided to go with option 2 after trying option 1!

API Changes:
- Image size can now be specified optionally as a tuple

TODO:
- add a benchmark test for the non square case.

Reviewed By: jcjohnson

Differential Revision: D24404975

fbshipit-source-id: 545efb67c822d748ec35999b35762bce58db2cf4

Summary: The "manual" docker pull in the testrun builds has been taking more than 10 minutes recently, and its lack of output causes circleci to timeout. As a quick fix, we enable the output from this operation.

Reviewed By: gkioxari

Differential Revision: D25305127

fbshipit-source-id: 19682bfa0294145457a37df6d6faf7a08dcc63c9

Reviewed By: zertosh

Differential Revision: D25241045

fbshipit-source-id: c3a1e1e02ef557b1e82cb672e987e05016e246fd

Summary: Taubin Smoothing for filtering meshes and making them smoother. Taubin smoothing is an iterative approach.

Reviewed By: nikhilaravi

Differential Revision: D24751149

fbshipit-source-id: fb779e955f1a1f6750e704f1b4c6dfa37aebac1a

Summary: If a pointcloud had less than pointcloud_max_points, the colors would not render. This diff fixes that.

Reviewed By: bottler

Differential Revision: D25099044

fbshipit-source-id: 47c3ddcdb4e06284b0a7966ffca1b973f394921f

Summary: Previously, grids where the columns don't divide the number of plots evenly would error. Now, there'll just be a sparse last row.

Reviewed By: bottler

Differential Revision: D25069236

fbshipit-source-id: 9d2fd62f3d39bfebc07ce0a41718621fa69d6057

Summary: Move icp_data.pth to tests/data

Reviewed By: bottler

Differential Revision: D25012575

fbshipit-source-id: 9252d2eeca9141c82ad3bf9d3e3331a2eab5203b

Summary: Small fix in website generation script.

Reviewed By: bottler

Differential Revision: D24893286

fbshipit-source-id: 5afbe05d749914788917a3834cf32e2f48bb4765

Summary: This fixed #442 by declaring two math functions to be device-only.

Reviewed By: bottler

Differential Revision: D24896992

fbshipit-source-id: a15918d06d2a3e6ee5cf250fec7af5f2f50a6164

Reviewed By: nikhilaravi

Differential Revision: D24390049

fbshipit-source-id: d86ba8dd933bce18e65ae71b3ea42426838b8fc2

Summary: Small updates to the website setup before the website is updated

Reviewed By: bottler

Differential Revision: D24880351

fbshipit-source-id: 5c40664ad1ca3dd9f4fc746b239a82d47ed3a8e6

Reviewed By: zertosh

Differential Revision: D24880203

fbshipit-source-id: 2034cdfc2712209e86d3d05c119c58f979b05c52

Summary: As mentioned in a comment on https://github.com/facebookresearch/pytorch3d/issues/438, curl must be told to follow redirects.

Reviewed By: nikhilaravi

Differential Revision: D24870138

fbshipit-source-id: 0c8aeb5146f8699bcea03d4108276fc24e9eab6b

Summary: Now installation is a bit complicated, remove this instruction from the website and redirect to the notebooks themselves.

Reviewed By: nikhilaravi

Differential Revision: D24860588

fbshipit-source-id: 3bf1af3cdb69b564492fb01a5a5ba40203f3858e

Summary:
We now require CUB for building, here we make the tutorials include it.

Also make the installation cell do nothing if it has already succeeded.

I use curl not wget, and `os.environ` to set the variables not shell methods, because they are more likely to work on Windows.

Reviewed By: nikhilaravi

Differential Revision: D24860574

fbshipit-source-id: 5be86af15e53f8db016ee0e96fb43153bd69adbc

Summary: This fixes issues with `pulsar.test.TestDepth` that we are encountering on CircleCI. The ID equality test is removed, which seems to give different results on different hardware (which is okay, because the exact order of spheres can slightly vary if they're close due to numerical instabilities). The depth map validity test stays in place.

Reviewed By: bottler

Differential Revision: D24840776

fbshipit-source-id: 2f38ea4880abf202c84d2987fdd71a84c5ef3b05