GitLab

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: Enhance every texture type with `faces_verts_textures_packed` that allows users to query the texture of each vertex in mesh

Reviewed By: nikhilaravi

Differential Revision: D24058778

fbshipit-source-id: 19d0e3a244fa96aae462c47bf52e07dfd3b7c6f0

Summary:
Enhanced `sample_points_from_meshes` with texture sampling

* This new feature is used to return textures corresponding to the sampled points in `sample_points_from_meshes`

Reviewed By: nikhilaravi

Differential Revision: D24031525

fbshipit-source-id: 8e5d8f784cc38aa391aa8e84e54423bd9fad7ad1

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:
Visualize a pointcloud in plotly.
- customize lighting and light position
- customizable axis arguments
- customizable height and width of plotly figure
- render batches in subplots or the same plot

Reviewed By: nikhilaravi

Differential Revision: D23872391

fbshipit-source-id: 9b1e1fd417500521be9d0eb85d71c77a538fa77c

Summary:
Visualize a mesh in a plotly figure.
- customize lighting and light position
- customizable axis arguments (x, y, z)
- customizable height and width of plotly figure
- render batches of meshes in subplots or in a singular plot

Reviewed By: nikhilaravi

Differential Revision: D22611960

fbshipit-source-id: 5dc5c55e599d5b0d9c38f22e156c662654099e11

Summary: Fix a few linting warnings

Reviewed By: nikhilaravi

Differential Revision: D20720810

fbshipit-source-id: c5b6a25fdd7971cc8743b54bbe162464a874071d

Summary:
…between the projection on the y=0 plane and reference vector (0,0,1).

Fixes https://github.com/facebookresearch/pytorch3d/issues/229

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/251

Reviewed By: gkioxari

Differential Revision: D23967073

Pulled By: nikhilaravi

fbshipit-source-id: fb6f10d4b7f5e319d17e28b4316837205b637f5e

Differential Revision: D23970214

fbshipit-source-id: b6a328f53178304b36556b5cf96584467a7d2ce4

Summary: Small documentation fix for FOVPerspectiveCamera. The error pointed out in the GitHub issue was due to the docs referring to the OpenGL z parameterization from [-1, 1] whereas we use the [0, 1] range.

Reviewed By: gkioxari

Differential Revision: D23857312

fbshipit-source-id: 2d20677ec614c935e76f67e100a41a23df708d59

Summary:
Support for moving all the tensors of the renderer to another device by calling `renderer.to(new_device)`

Currently the `MeshRenderer`, `MeshRasterizer` and `SoftPhongShader` (and other shaders) are all of type `nn.Module` which already supports easily moving tensors of submodules (defined as class attributes) to a different device. However the class attributes of the rasterizer and shader (e.g. cameras, lights, materials), are of type `TensorProperties`, not nn.Module so we need to explicity create a `to` method to move these tensors to device. Note that the `TensorProperties` class already has a `to` method so we only need to call `cameras.to(device)` and don't need to worry about the internal tensors.

The other option is of course making these other classes (cameras, lights etc) also of type nn.Module.

Reviewed By: gkioxari

Differential Revision: D23885107

fbshipit-source-id: d71565c442181f739de4d797076ed5d00fb67f8e

Summary:
I'm constantly encountering 3D models with resources that have spaces in their filenames (especially on Windows) and therefore they can't be loaded in pytorch3d. Let me know what you think.

Thanks

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/358

Reviewed By: bottler

Differential Revision: D23798492

Pulled By: nikhilaravi

fbshipit-source-id: 4d85b7ee05339486d2e5ef53a531f8e6052251c5

Summary: Tidy OBJ / MTL parsing: remove redundant calls to tokenize, factor out parsing and texture loading

Reviewed By: gkioxari

Differential Revision: D20720768

fbshipit-source-id: fb1713106d4ff99a4a9147afcc3da74ae013d8dc

Summary: This addresses #375. Change circleci mac version to 9.4.1 just like torchvision did in https://github.com/pytorch/vision/issues/2629 .

Reviewed By: gkioxari

Differential Revision: D23866112

fbshipit-source-id: c5019618bcb7da8f950123fee201beaad55fecab

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: Fix map size in the comment.

Reviewed By: gkioxari

Differential Revision: D23813431

fbshipit-source-id: e0777beadd7473014c1b79ad9f850d10f3549599

Summary:
Make save_ply save to binary instead of ascii. An option makes the previous functionality available. save_ply's API accepts a stream, but this is undocumented; that stream must now be a binary stream not a text stream.

Avoiding warnings about making tensors from immutable numpy arrays.

Possible performance improvement when reading binary files.

Fix reading zero-length binary lists.

Reviewed By: nikhilaravi

Differential Revision: D22333118

fbshipit-source-id: b423dfd3da46e047bead200255f47a7707306811

Summary:
Support variable size pointclouds in the renderer API to allow compatibility with Pulsar rasterizer.

If radius is provided as a float, it is converted to a tensor of shape (P). Otherwise radius is expected to be an (N, P_padded) dimensional tensor where P_padded is the max number of points in the batch (following the convention from pulsar: https://our.intern.facebook.com/intern/diffusion/FBS/browse/master/fbcode/frl/gemini/pulsar/pulsar/renderer.py?commit=ee0342850210e5df441e14fd97162675c70d147c&lines=50)

Reviewed By: jcjohnson, gkioxari

Differential Revision: D21429400

fbshipit-source-id: 65de7d9cd2472b27fc29f96160c33687e88098a2

Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/362

Reviewed By: bottler

Differential Revision: D23712242

Pulled By: nikhilaravi

fbshipit-source-id: 1c4184c8482049991356be7dbc9755b0c2018a1d

Summary:
fixed small typo in update_padded function docstring.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/322

Reviewed By: gkioxari

Differential Revision: D23712324

Pulled By: nikhilaravi

fbshipit-source-id: fea3b68039644b236897c6f465cbb322c5c48085

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: Support rendering different color backgrounds for pointclouds for both compositors

Reviewed By: nikhilaravi

Differential Revision: D23611043

fbshipit-source-id: ab029650d51349340372c5bd66700e6577d48851

Summary: Fixes a bug that initializes default SfMCameras with a default _R instead of default _T

Reviewed By: gkioxari

Differential Revision: D23654583

fbshipit-source-id: ccfb7235b2fb6df5a2e402b9fb4b194e97d78dc6

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: When the camera is vertically oriented, calculating the look_at x-axis (also known as the "right" vector) does not succeed, resulting in the x-axis being placed at the origin. Adds a check to correctly calculate the x-axis if this case occurs.

Reviewed By: nikhilaravi, sbranson

Differential Revision: D23511859

fbshipit-source-id: ee5145cdbecdbe2f7c7d288588bd0899480cb327

Summary:
This fixes two small issues with blending.py:softmax_rgb_blend():
  1) zfar and znear attributes are propagated from the camera settings instead of just using default settings of znear=1.0 and zfar=100.0
  2) A check is added to prevent arithmetic overflow in softmax_rgb_blend()

This is a fix in response to https://github.com/facebookresearch/pytorch3d/issues/334
where meshes rendererd using a SoftPhongShader with faces_per_pixel=1 appear black.  This only occurs when the scale of the mesh is large (vertex values > 100, where 100 is the default value of zfar).  This fix allows the caller to increase the value of cameras.zfar to match the scale of her/his mesh.

Reviewed By: nikhilaravi

Differential Revision: D23517541

fbshipit-source-id: ab8631ce9e5f2149f140b67b13eff857771b8807

Differential Revision: D23521117

fbshipit-source-id: 8e11e91aaa2a91b7ca1fa4c00a3db86ab8648f7f

Summary:
adds `corresponding_cameras_alignment` function that estimates a similarity transformation between two sets of cameras.

The function is essential for computing camera errors in SfM pipelines.

```
Benchmark                                                   Avg Time(μs)      Peak Time(μs) Iterations
--------------------------------------------------------------------------------
CORRESPONDING_CAMERAS_ALIGNMENT_10_centers_False                32219           36211             16
CORRESPONDING_CAMERAS_ALIGNMENT_10_centers_True                 32429           36063             16
CORRESPONDING_CAMERAS_ALIGNMENT_10_extrinsics_False              5548            8782             91
CORRESPONDING_CAMERAS_ALIGNMENT_10_extrinsics_True               6153            9752             82
CORRESPONDING_CAMERAS_ALIGNMENT_100_centers_False               33344           40398             16
CORRESPONDING_CAMERAS_ALIGNMENT_100_centers_True                34528           37095             15
CORRESPONDING_CAMERAS_ALIGNMENT_100_extrinsics_False             5576            7187             90
CORRESPONDING_CAMERAS_ALIGNMENT_100_extrinsics_True              6256            9166             80
CORRESPONDING_CAMERAS_ALIGNMENT_1000_centers_False              32020           37247             16
CORRESPONDING_CAMERAS_ALIGNMENT_1000_centers_True               32776           37644             16
CORRESPONDING_CAMERAS_ALIGNMENT_1000_extrinsics_False            5336            8795             94
CORRESPONDING_CAMERAS_ALIGNMENT_1000_extrinsics_True             6266            9929             80
--------------------------------------------------------------------------------
```

Reviewed By: shapovalov

Differential Revision: D22946415

fbshipit-source-id: 8caae7ee365b304d8aa1f8133cf0dd92c35bc0dd

Summary: Adding some appropriate methods into pyre typeshed. Removing corresponding pyre-ignore and pyre-fixme messages.

Differential Revision: D22949138

fbshipit-source-id: add8acdd4611ab698954868832594d062cd58f88

Reviewed By: jcjohnson

Differential Revision: D23244140

fbshipit-source-id: 8f95c817637162350b61b1b0fc3d2de66087250e

Summary: We've made some build updates.

Reviewed By: jcjohnson

Differential Revision: D23244111

fbshipit-source-id: dba6e5dc3a9d7dcb2b62094f7f7b8b5abca190d9

Summary: When raster_settings.clip_barycentric_coords is unspecified, clip_barycentric_coords is turned on if blur_radius is greater than 0.  This matches the behavior prior to D21705503 (https://github.com/facebookresearch/pytorch3d/commit/cc70950f4064e3feeb55281b829aa55aa4a7e942).

Reviewed By: gkioxari

Differential Revision: D23375257

fbshipit-source-id: 4b87588aabb69d4d835d4dcceb11153628121d30

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:
Add a join_scene method to all the textures to allow the join_mesh function to include textures. Rename the join_mesh function to join_meshes_as_scene.

For TexturesAtlas, we now interpolate if the user attempts to have the resolution vary across the batch. This doesn't look great if the resolution is already very low.

For TexturesUV, a rectangle packing function is required, this does something simple.

Reviewed By: gkioxari

Differential Revision: D23188773

fbshipit-source-id: c013db061a04076e13e90ccc168a7913e933a9c5

Summary:
Allow, and make default, align_corners=True for texture maps. Allow changing the padding_mode and set the default to be "border" which produces more logical results. Some new documentation.

The previous behavior corresponds to padding_mode="zeros" and align_corners=False.

Reviewed By: gkioxari

Differential Revision: D23268775

fbshipit-source-id: 58d6229baa591baa69705bcf97471c80ba3651de

Summary:
The look_at_view_transform did not give the correct results when the object location `at` was not (0,0,0).

The problem was on computing the cameras' location in world's coordinate `C`. It only took into account the camera position from spherical angles, but ignored the object location in the world's coordinate system. I simply modified the C tensor to take into account the object's location which is not necessarily in the origin.

I ran unit tests and all but 4 failed with the same error message: `RuntimeError: CUDA error: invalid device ordinal`. However the same happens before this patch, so I believe these errors are unrelated.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/230

Reviewed By: gkioxari

Differential Revision: D23278126

Pulled By: nikhilaravi

fbshipit-source-id: c06e891bc46de8222325ee7b37aa43cde44648e8

Summary:
- Add support for loading textures from ShapeNet Obj files as a texture atlas.
- Support textured rendering of shapenet models

Reviewed By: gkioxari

Differential Revision: D23141143

fbshipit-source-id: 26eb81758d4cdbd6d820b072b58f5c6c08cb90bc