GitLab

Summary: Add link to v0.4 after it has been tagged.

Reviewed By: bottler

Differential Revision: D26286000

fbshipit-source-id: b75893e668a18122c64aa989b6f4d150c99831be

Summary: Update PyTorch3D version number

Reviewed By: nikhilaravi

Differential Revision: D26257778

fbshipit-source-id: 62a37669c51ec56d21f71b5619a1a821ae2a8e98

Summary:
- Updated the C++/CUDA mesh rasterization kernels to handle the clipped faces. In particular this required careful handling of the distance calculation for faces which are cut into a quadrilateral by the image plane and then split into two sub triangles i.e. both sub triangles can't be part of the top K faces.
- Updated `rasterize_meshes.py` to use the utils functions to clip the meshes and convert the fragments back to in terms of the unclipped mesh
- Added end to end tests

Reviewed By: jcjohnson

Differential Revision: D26169685

fbshipit-source-id: d64cd0d656109b965f44a35c301b7c81f451cfa0

Summary: Small update to the cameras and rasterizer to correctly infer the type of camera (perspective vs orthographic).

Reviewed By: jcjohnson

Differential Revision: D26267225

fbshipit-source-id: a58ed3bc2ab25553d2a4307c734204c1d41b5176

Summary:
This diff adds utils functions for converting rasterization fragments of the clipped mesh into fragments expressed in terms of the original unclipped mesh.

The face indices and barycentric coordinates are converted in this step. The pixel to triangle distances are handled in the rasterizer which is updated in the next diff in the stack.

Reviewed By: jcjohnson

Differential Revision: D26169539

fbshipit-source-id: ba451d3facd60ef88a8ffaf25fd04ca07b449ceb

Summary:
Instead of culling faces behind the camera, partially clip them if they intersect with the image plane.

This diff implements the utils functions for clipping.

There are 4 cases for the mesh faces which are all handled:

```
Case 1: the triangle is completely in front of the clipping plane (it is left
        unchanged)
Case 2: the triangle is completely behind the clipping plane (it is culled)
Case 3: the triangle has exactly two vertices behind the clipping plane (it is
        clipped into a smaller triangle)
Case 4: the triangle has exactly one vertex behind the clipping plane (it is clipped
        into a smaller quadrilateral and divided into two triangular faces)
```

Reviewed By: jcjohnson

Differential Revision: D23108673

fbshipit-source-id: 550a8b6a982d06065dff10aba10d47e8b144ae52

Summary: Prepare the tutorial notebooks to use wheels from S3 when run on colab.

Reviewed By: nikhilaravi

Differential Revision: D26226932

fbshipit-source-id: 1f9366c3fb4ba195333a5d5dfa3f6876ea934508

Summary: For Linux, instead of uploading wheels to PyPI which will only work with one particular version of PyTorch and CUDA, from the next release we will store a range of built wheels on S3.

Reviewed By: nikhilaravi

Differential Revision: D26209398

fbshipit-source-id: 945a6907b78807e1eedb25007f87f90bbf59f80e

Summary: Fix missing copyright header in __init__.py file.

Reviewed By: davnov134

Differential Revision: D26275931

fbshipit-source-id: 965c9cf17383aa27d35d549754ebd99ae7c25f47

Summary:
These two tests fail (with non-small differences) when the seed is changed or if certain environmental changes are made. We disable them pending investigation.

A small change to the tolerance at the failing assertion doesn't help. The change in common_testing helps diagnose this.

Reviewed By: shapovalov

Differential Revision: D26233419

fbshipit-source-id: 357afc1786825256c9bade101fb15707e4dea5ed

Summary: Fixes to Readme in NeRF

Reviewed By: nikhilaravi

Differential Revision: D26205882

fbshipit-source-id: 73e4d727f6e6c96fa7af7d2b917acdeaf990091c

Summary: Adds the readme file.

Reviewed By: nikhilaravi

Differential Revision: D25684459

fbshipit-source-id: f1aaa621a2a67c98d5fcfe33fe9bbfea8f95b537

Summary: Implements the test script of NeRF.

Reviewed By: nikhilaravi

Differential Revision: D25684450

fbshipit-source-id: 739169d9df706795814912bb9a15e2e65ac92df8

Summary: Implements methods for generating trajectories of test cameras.

Reviewed By: nikhilaravi

Differential Revision: D26100869

fbshipit-source-id: cf2b61a34d4c749cd8cba881e97f6c388e57d1f8

Summary: Implements the training script of NeRF.

Reviewed By: nikhilaravi

Differential Revision: D25684439

fbshipit-source-id: 8b19b6dc282eb6bf6e46ec4476bb0f13a84c90dd

Summary: Implements the `Stats` class that handles logging of the training statistics.

Reviewed By: nikhilaravi

Differential Revision: D25684430

fbshipit-source-id: 920a1c65917ab5d047988494d92173da60cfd64b

Summary: Implements the dataloader for NeRF.

Reviewed By: nikhilaravi

Differential Revision: D25684424

fbshipit-source-id: 4f7092ce23135bd418186833a087e243433babc7

Summary: Implements the main NeRF model class that controls the radiance field and its renderer

Reviewed By: nikhilaravi

Differential Revision: D25684419

fbshipit-source-id: fae45572daa6748c6234bd212f3e68110f778238

Summary: Implements the radiance field function of NeRF

Reviewed By: nikhilaravi

Differential Revision: D25684413

fbshipit-source-id: 4bf6dd5d22e6134a09f7b9f314536ec16670f737

Summary: Implements the positional embedding of NeRF

Reviewed By: nikhilaravi

Differential Revision: D25684406

fbshipit-source-id: 9f3b657babacff48bd6a0497d7a859607ffa5f89

Summary: Implements the NeRF raysampler.

Reviewed By: nikhilaravi

Differential Revision: D25684403

fbshipit-source-id: 616a60f047c79479f60a6a75d214f87cbfb06d28

Summary: An initial NeRF diff which sets up the folder structure and implements the raymarching algorithm of NeRF.

Reviewed By: nikhilaravi

Differential Revision: D25623990

fbshipit-source-id: ac6b05a9b866358bd4bbf44858f06859d8a6ebd1

Summary:
adds missing spaces in the `estimate_normals` docstrings

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/530

Reviewed By: bottler

Differential Revision: D26008667

Pulled By: nikhilaravi

fbshipit-source-id: 88cccd7e777fa2df0aea15c087db9e7fb634d93f

Summary: Corner case where there's nothing to do in this function.

Reviewed By: nikhilaravi

Differential Revision: D26073476

fbshipit-source-id: eb061683ffe35c1ffa8384c422a1557a636d52cd

Summary: We were double counting some pairs in some cases. Specifically if four or more faces share an edge, then some of them were getting double counted. This is a minimal tweak to avoid that.

Reviewed By: nikhilaravi

Differential Revision: D26073477

fbshipit-source-id: a40032acf3044bb98dd91cb29904614ef64d5599

Summary: See title.

Reviewed By: theschnitz

Differential Revision: D25785775

fbshipit-source-id: 6b2ab6ea8a02a7dd1742a214e48caab35a44528c

Summary: Ensure that `mesh2 = mesh.to(device)` doesn't change the device of `mesh.textures`.

Reviewed By: nikhilaravi

Differential Revision: D25978610

fbshipit-source-id: 0558cd62132965d8693ebeea05e42b8c1d16cfbf

Summary:
Fixes the assertion that `p1` and `p2` have the same last dimension. The issue was that `D` is set to equal `p2.size(2)`, and then `D` is compared to `p2.size(2)`. The fix instead compares `D` to `p1.size(2).

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/524

Reviewed By: bottler

Differential Revision: D26008688

Pulled By: nikhilaravi

fbshipit-source-id: e32afe9da127d81b1a411d3c223b539a7400597b

Summary:
Typo fixed.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/529

Reviewed By: bottler

Differential Revision: D26008651

Pulled By: nikhilaravi

fbshipit-source-id: 76d5baadba7bcd3577397adb842e964ee4490b7d

Summary: We previously did not send an `up` vector in to plotly when visualization_cameras is supplied. This meant the image would have the default orientation instead of the correct one. Now we use the library function `camera_to_eye_at_up` to calculate the plotly position, which includes the `up` vector.

Reviewed By: nikhilaravi

Differential Revision: D25981183

fbshipit-source-id: abec72b349f3a5519209e0e6c0518133c3750807

Summary:
Plotly viewing from a specific camera location requires converting that location in to an (eye, at, up) specification. There may be other reasons to want to do this as well. I create a separate utility function for it.

I envisage more such utility functions for manipulating camera information, so I create a separate camera_utils.py file for such things.

Reviewed By: nikhilaravi

Differential Revision: D25981184

fbshipit-source-id: 0947bf98b212676c021f2fddf775bf436dee3487

Summary:
It is common when trying things out to want to move a whole mesh or point cloud by the same amount. Here we allow the offset functions to broadcast.

Also add a sanity check to join_meshes_as_scene which it is easy to call wrongly.

Reviewed By: nikhilaravi

Differential Revision: D25980593

fbshipit-source-id: cdf1568e1317e3b81ad94ed4e608ba7eef81290b

Summary: Make `to` on Transform3D carry its member _transforms.

Reviewed By: nikhilaravi

Differential Revision: D25978611

fbshipit-source-id: 12b39e7a657f28d59ca60800bf9f4193a2c08197

Summary: Fix recent lint.

Reviewed By: nikhilaravi

Differential Revision: D25900168

fbshipit-source-id: 6b6e8d35b68c8415ef305dc4719f43eda9316c8f

Summary: Gradient calculation flags were not properly routed through the Python interface. This diff fixes this. In particular, gradients for focal length (only if no other camera gradients were calculated) and opacity were not calculated as required.

Reviewed By: gkioxari

Differential Revision: D25921202

fbshipit-source-id: 22cbae3bda886d81bb95878f0be45c2ddd29934c

Summary:
PyTorch versions 1.7.0 and 1.7.1 are between https://github.com/pytorch/pytorch/pull/43931 and https://github.com/pytorch/pytorch/pull/47404. In this gap, PyTorch always copies CC to nvcc_args, like PyTorch3D does. Newer nvcc versions are not happy with `-ccbin` being specified twice, even if it is specified twice the same. We update PyTorch3D so that it doesn't supply `-ccbin` in these cases.

Also tweak the detection of the current ccbin so that it is aware that `-ccbin foo` and `-ccbin=foo` are equivalent.

Reviewed By: theschnitz

Differential Revision: D25825468

fbshipit-source-id: b04e7718cf01820649518eedda99c399c732e8af

Summary: Adds links to notebooks implementing the Volume / NeRF fitting.

Reviewed By: gkioxari

Differential Revision: D25849756

fbshipit-source-id: 05d7d40589a8559c9bcc43e0d2e22c49f5a92dfd

Summary:
Allow PLY files to not contain faces. Allow loading pointclouds with color, at least encoded according to the way of some cloudcompare examples.

TODO: Allow vertex normals to be read, and allow vertex colors to be written. Make the return type of load_ply something more user friendly, like a dict.

Noticed in https://github.com/facebookresearch/pytorch3d/issues/209

Reviewed By: nikhilaravi

Differential Revision: D22573314

fbshipit-source-id: 72ba1f7c6417f5dfc83f2ebf359eff017057635c

Summary:
In the original implementation, I had considered PLY properties where there are mixed types of elements in a property to be rare and basically unimportant, so the implementation is very naive.

If we want to support pointcloud PLY files, we need to handle at least the subcase where there are no lists efficiently because this seems to be very common there.

Reviewed By: nikhilaravi, gkioxari

Differential Revision: D22573315

fbshipit-source-id: db6f29446d4e555a2e2b37d38c8e4450d061465b

Summary: We already have code for obj and ply formats. Here we actually make it available in `IO.load_mesh` and `IO.save_mesh`.

Reviewed By: theschnitz, nikhilaravi

Differential Revision: D25400650

fbshipit-source-id: f26d6d7fc46c48634a948eea4d255afad13b807b