Summary:
- Fix the calculation of the non square NDC range when the H and W are not integer multiples.
- Add test for this case
Reviewed By: gkioxari
Differential Revision: D26613213
fbshipit-source-id: df6763cac602e9f1d516b41b432c4d2cfbaa356d
Summary: Implements the ascii OFF file format. This was discussed in https://github.com/facebookresearch/pytorch3d/issues/216
Reviewed By: theschnitz
Differential Revision: D25788834
fbshipit-source-id: c141d1f4ba3bad24e3c1f280a20aee782bfd74d6
Summary: One step in finding all the pairs of vertices which share faces is a simple calculation but annoying to parallelize. It was implemented in pure Python. We move it to C++. We still pull the data to the CPU and put the answer back on the device.
Reviewed By: nikhilaravi, gkioxari
Differential Revision: D26073475
fbshipit-source-id: ffbf4e2c347a511ab5084bceff600465812b6a52
Summary:
Fixes mostly related to the "main" build on circleci.
-Avoid error to do with tuple copy from initializer_list which is `explicit` on old compiler.
-Add better reporting to copyright test.
-Move to PackedTensorAccessor64 from the deprecated PackedTensorAccessor
-Avoid some warnings about mismatched comparisons.
The "main" build is the only one that runs the test_build stuff. In that area
-Fix my bad copyright fix D26275931 (3463f418b8) / 965c9c
-Add test that all tutorials are valid json.
Reviewed By: nikhilaravi
Differential Revision: D26366466
fbshipit-source-id: c4ab8b7e6647987069f7cb7144aa6ab7c24bcdac
Summary: Add link to v0.4 after it has been tagged.
Reviewed By: bottler
Differential Revision: D26286000
fbshipit-source-id: b75893e668a18122c64aa989b6f4d150c99831be
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:
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: Implements the test script of NeRF.
Reviewed By: nikhilaravi
Differential Revision: D25684450
fbshipit-source-id: 739169d9df706795814912bb9a15e2e65ac92df8
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 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: 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: 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:
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: 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: 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:
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
Summary: Implements a notebook that fits a volume to multiple views of the cow mesh.
Reviewed By: nikhilaravi
Differential Revision: D24553385
fbshipit-source-id: 367ca39e176b40df2c5946c9c05d3be824dc8d1c
