GitLab

Summary:
Changes to CI and some minor fixes now that pulsar is part of pytorch3d. Most significantly, add CUB to CI builds.

Make CUB_HOME override the CUB already in cudatoolkit (important for cuda11.0 which uses cub 1.9.9 which pulsar doesn't work well with.
Make imageio available for testing.
Lint fixes.
Fix some test verbosity.
Avoid use of atomicAdd_block on older GPUs.

Reviewed By: nikhilaravi, classner

Differential Revision: D24773716

fbshipit-source-id: 2428356bb2e62735f2bc0c15cbe4cff35b1b24b8

Summary: This commit performs pulsar example and test refinements. The examples are fully adjusted to adhere to PEP style guide and additional comments are added.

Reviewed By: nikhilaravi

Differential Revision: D24723391

fbshipit-source-id: 6d289006f080140159731e7f3a8c98b582164f1a

Summary: This diff updates the documentation and tutorials with information about the new pulsar backend. For more information about the pulsar backend, see the release notes and the paper (https://arxiv.org/abs/2004.07484). For information on how to use the backend, see the point cloud rendering notebook and the examples in the folder docs/examples.

Reviewed By: nikhilaravi

Differential Revision: D24498129

fbshipit-source-id: e312b0169a72b13590df6e4db36bfe6190d742f9

Summary:
This diff integrates the pulsar renderer source code into PyTorch3D as an alternative backend for the PyTorch3D point renderer. This diff is the first of a series of three diffs to complete that migration and focuses on the packaging and integration of the source code.

For more information about the pulsar backend, see the release notes and the paper (https://arxiv.org/abs/2004.07484). For information on how to use the backend, see the point cloud rendering notebook and the examples in the folder `docs/examples`.

Tasks addressed in the following diffs:
* Add the PyTorch3D interface,
* Add notebook examples and documentation (or adapt the existing ones to feature both interfaces).

Reviewed By: nikhilaravi

Differential Revision: D23947736

fbshipit-source-id: a5e77b53e6750334db22aefa89b4c079cda1b443

Summary: We envision `pytorch3d.vis` to contain submodules with different dependencies. Allow (and require) them to be imported independently.

Reviewed By: theschnitz

Differential Revision: D24622519

fbshipit-source-id: 44840f70f5fd2bd410405bf09546024e48238744

Summary: New methods to directly plot a TexturesUV map with its used points, using PIL and matplotlib.

Reviewed By: gkioxari

Differential Revision: D23782968

fbshipit-source-id: 692970857b5be13a35a3175dc82ac03963a73555

Summary: We were importing torch, torchvision, PyTorch3D, and sys twice. This is just removing the duplicate (unneeded) imports

Reviewed By: theschnitz

Differential Revision: D24479270

fbshipit-source-id: 1048732f65242eb776c3eef537cb1ae58815c1eb

Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/409

Reviewed By: bottler

Differential Revision: D24478451

Pulled By: nikhilaravi

fbshipit-source-id: 933d6f7a02a3118ee30ecda045fd9f62a7df1176

Summary: Take in a renderer with camera(s) and render the cameras as wireframes in the corresponding plotly plots

Reviewed By: nikhilaravi

Differential Revision: D24151706

fbshipit-source-id: f8e86d61f3d991500bafc0533738c79b96bda630

Summary: Change the two affected tutorials to use plot_scene and plot_batch_individually.

Reviewed By: nikhilaravi

Differential Revision: D24235480

fbshipit-source-id: ca9d73bfb7ccf733efaf16299c15927406d7f2aa

Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/386

Reviewed By: gkioxari

Differential Revision: D24220501

Pulled By: nikhilaravi

fbshipit-source-id: 5bb0014b46a89fde52c9aaccba0e3ba6d485430f

Summary: Importing from pytorch3d.visualization is wordy, so shortened the path to the vis module and updated the relevant imports.

Reviewed By: nikhilaravi

Differential Revision: D24116527

fbshipit-source-id: e0e4da7d48c5afedec07482d7be43362b6822445

Summary: Add markdown note explaining why PyTorch3D has plotly visualizations, examples, and how to save these visualizations as an image.

Reviewed By: nikhilaravi

Differential Revision: D23976283

fbshipit-source-id: cbbaffd1f0ebe3466841e42fdb454d85773152cd

Summary: Add examples of using the Plotly visualization functions to the corresponding tutorial notebooks.

Reviewed By: nikhilaravi

Differential Revision: D23879109

fbshipit-source-id: ea8c45aa6c828eb2f6ea2ae1c8846adc486f92e0

Summary:
Add a notebook demonstrating how to use Pytorch3D to render a textured mesh with the DensePose textures and the SMPL model

{F336408690}

Reviewed By: nikhilaravi

Differential Revision: D23784314

fbshipit-source-id: c92f32fb9b9468eb7ec26bf58dcabb1f26d92e7b

Summary:
Add cells to the rendering_colored_points tutorial showing how to initialize a renderer and compositor that will render pointclouds with a background color.

{F333731292}
{F334136799}

Reviewed By: nikhilaravi

Differential Revision: D23632503

fbshipit-source-id: e9ce0178b41e74baf912bd82ca1db41b680fc68f

Summary: Previously the tutorial code assumed that the reference image had a black background, resulting in an empty silhouette mask. Since the background is white, this change allows the model to find the correct silhouette mask.

Reviewed By: nikhilaravi, sbranson

Differential Revision: D23502202

fbshipit-source-id: c3a570f93efd480323f27cb081db0a9fb54be219

Summary: Small fixes to website rendering

Reviewed By: jcjohnson

Differential Revision: D23281746

fbshipit-source-id: c9dc8edd5e52f39d4e0e19f10ecc7e035b39feda

Summary:
Update the installation cells to import torch.
Replace use of deprecated Textures in deform tutorial.
Correct the deform tutorial's idea of its own name.
Fix typo in batched part of render_textured_meshes which meant only one mesh was being rendered with a batch of cameras.
Add an error check in the rasterizer to make the error friendly from such a mistake elsewhere.

Reviewed By: gkioxari

Differential Revision: D23345462

fbshipit-source-id: 1d5bd25db052f7ef687b7168d7aee5cc4dce8952

Summary:
Add a document to explain how to run the tutorials.
Fix API of TexturesVertex in fit_textured_mesh.
Prepare cuda 10.1 wheels (not 10.2) for linux to be available on pypi - this matches what colab has.
Change the tutorials to use these new wheels.

Reviewed By: gkioxari

Differential Revision: D23324479

fbshipit-source-id: 60e92a3f46a2d878f811b7703638f8d1dae143d9

Summary:
Found a bug in extending textures with vertex uv coordinates. This was due to the padded -> list conversion of vertex uv coordinates i.e.                 The number of vertices in the mesh and in verts_uvs can differ
e.g. if a vertex is shared between 3 faces, it can
have up to 3 different uv coordinates. Therefore we cannot convert directly from padded to list using _num_verts_per_mesh

Reviewed By: bottler

Differential Revision: D23233595

fbshipit-source-id: 0c66d15baae697ead0bdc384f74c27d4c6539fc9

Summary:
- Added sbranson's fit mesh tutorial to the website
- Updated rendering docs with info about texturing and new shader types.

TODO:
- add pointcloud rendering tutorial to the website as well (https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/render_colored_points.ipynb)
- docs for camera
- update some tutorials which depended on the Textures from structures.

Reviewed By: gkioxari

Differential Revision: D23143977

fbshipit-source-id: 6843c9bf3ce11115c459c64da5b0ad778dc92177

Summary:
Refactor cameras
* CamerasBase was enhanced with `transform_points_screen` that transforms projected points from NDC to screen space
* OpenGLPerspective, OpenGLOrthographic -> FoVPerspective, FoVOrthographic
* SfMPerspective, SfMOrthographic -> Perspective, Orthographic
* PerspectiveCamera can optionally be constructred with screen space parameters
* Note on Cameras and coordinate systems was added

Reviewed By: nikhilaravi

Differential Revision: D23168525

fbshipit-source-id: dd138e2b2cc7e0e0d9f34c45b8251c01266a2063

Summary: Tutorial for ShapeNetCore & R2N2.

Reviewed By: gkioxari

Differential Revision: D22916882

fbshipit-source-id: 752742be87f44919164ec7eafcc9c09c17a0f8a3

Summary:
Because of the way Sphinx was parsing this link in Markdown, the link wasn't working properly. This should fix it.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/330

Test Plan: Tested via local Sphinx.

Reviewed By: nikhilaravi

Differential Revision: D23244163

Pulled By: atroyn

fbshipit-source-id: 019712a841d76391a5210dcd98c77a822947204a

Summary: documentation for datasets

Reviewed By: bottler, gkioxari

Differential Revision: D22992266

fbshipit-source-id: 44aaa8227af04c1baa5ea6c31ba131dea2b9675b

Summary:
A fairly big refactor of the texturing API with some breaking changes to how textures are defined.

Main changes:
- There are now 3 types of texture classes: `TexturesUV`, `TexturesAtlas` and `TexturesVertex`. Each class:
   - has a `sample_textures` function which accepts the `fragments` from rasterization and returns `texels`. This means that the shaders will not need to know the type of the mesh texture which will resolve several issues people were reporting on GitHub.
  -  has a `join_batch` method for joining multiple textures of the same type into a batch

Reviewed By: gkioxari

Differential Revision: D21067427

fbshipit-source-id: 4b346500a60181e72fdd1b0dd89b5505c7a33926

Summary: Remove composite params from tutorial

Reviewed By: nikhilaravi

Differential Revision: D22809242

fbshipit-source-id: e5ed4e93fc892baf74e3a464119f0d11973423c3

Summary: Tutorial showing how to create a synthetic dataset by rendering a cow from multiple views, fit a mesh using a differential silhouette renderer, then fit a mesh using an RGB renderer.

Reviewed By: nikhilaravi

Differential Revision: D22513859

fbshipit-source-id: 24bdaac4ebec6dd01f98e2f5c702065f9335ff33

Summary:
This diff
* removes the unused compositing params
* adds a note describing cubify

Reviewed By: nikhilaravi

Differential Revision: D22426191

fbshipit-source-id: e8aa32040bb594e1dfd7d6d98e29264feefcec7c

Reviewed By: nikhilaravi

Differential Revision: D22357376

fbshipit-source-id: c103f9b0c798d4425d642781b5bfbb1a27310270

Summary: It's easier to understand code changes if we don't store the output in the notebooks. This is just a run of nbstripout on all the notebooks.

Reviewed By: nikhilaravi

Differential Revision: D22357375

fbshipit-source-id: bffdb426af2f676d448630d717658d609c224811

Summary: Adding datasets.rst to modules and update index.rst.

Reviewed By: nikhilaravi

Differential Revision: D22187578

fbshipit-source-id: e70cf49fa276db8a106c67a2edab530b6dba2dee

Summary: Fix to enable a mesh/point rasterizer to be initialized without having to specify the camera.

Reviewed By: jcjohnson, gkioxari

Differential Revision: D21362359

fbshipit-source-id: 4f84ea18ad9f179c7b7c2289ebf9422a2f5e26de

Summary: Update version number for version 0.2.0.

Reviewed By: nikhilaravi

Differential Revision: D21157358

fbshipit-source-id: 32a5b93e5dc65a31a806a5ce7231f8603fe02e85

Summary:
Fix a bug which resulted in a rendering artifacts if the image size was not a multiple of 16.
Fix: Revert coarse rasterization to original implementation and only update fine rasterization to reverse the ordering of Y and X axis. This is much simpler than the previous approach!

Additional changes:
- updated mesh rendering end-end tests to check outputs from both naive and coarse to fine rasterization.
- added pointcloud rendering end-end tests

Reviewed By: gkioxari

Differential Revision: D21102725

fbshipit-source-id: 2e7e1b013dd6dd12b3a00b79eb8167deddb2e89a

Summary: Remove `bin_size` and `max_faces_per_pixel` from being specified. This means the coarse-to-fine rasterization will be used by default and will help avoid confusion with the naive version.

Reviewed By: jcjohnson

Differential Revision: D20908905

fbshipit-source-id: c181c88e844d888aa81a36870918307961dc1175

Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)

Reviewed By: nikhilaravi

Differential Revision: D20558373

fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8

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

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