GitLab

Summary: Add ability to load normals when they are present in a PLY file.

Reviewed By: nikhilaravi

Differential Revision: D26458971

fbshipit-source-id: 658270b611f7624eab4f5f62ff438038e1d25723

Summary: Save existing vertex normals when a mesh is saved to PLY, and existing normals when a point cloud is saved to PLY.

Reviewed By: theschnitz

Differential Revision: D27765257

fbshipit-source-id: fa0aae4c0f100f7e5eb742f48fc3dfc87435deba

Summary: Add ability to ask a Meshes if it already has normals. If it does, then requesting normals will not trigger a calculation. MeshesFormatInterpreters will therefore be able to decide whether to save normals.

Reviewed By: theschnitz, nikhilaravi

Differential Revision: D27765261

fbshipit-source-id: 7c87dbf999d5616d20f5eb2c01039ee5ff65a830

Summary: Add ability to set the vertex normals when creating a Meshes, so that the pluggable loaders can return them from a file.

Reviewed By: nikhilaravi

Differential Revision: D27765258

fbshipit-source-id: b5ddaa00de3707f636f94d9f74d1da12ecce0608

Summary: If offset_verts_ is used to move meshes with a single vector, the normals won't change so don't need to recalculate. I am planning to allow user-specified vertex normals. This change means that user-specified vertex normals won't get overwritten when they don't need to be.

Reviewed By: nikhilaravi

Differential Revision: D27765256

fbshipit-source-id: f6e4d308ac9ac023030325cb75a18d39b966cf88

Summary:
There is no need to recalculate normals when scaling a mesh by a constant. We omit doing this for vertex normals. This will make things less confusing when we allow user-specified vertex normals.

Face normals also don't need recalculating, but they are calculated at the same time as face areas which do, so it is easiest not to change their behavior here. That is convenient because we are not immediately planning to allow user-specified face normals.

Reviewed By: nikhilaravi

Differential Revision: D27793476

fbshipit-source-id: 827f1be4bc78bf0391ce3959cce48c4f3ee326fe

Summary: When a PLY file contains colors in byte format, these are now scaled from 0..255 to [0,1], as they should be

Reviewed By: gkioxari

Differential Revision: D27765254

fbshipit-source-id: 526b5f5149d5e8cbffd7412b411be52c935fa4ad

Summary:
Include TexturesVertex colors when loading and saving Meshes to PLY files.

A couple of other improvements to the internals of ply_io, including using `None` instead of empty tensors for some missing data.

Reviewed By: gkioxari

Differential Revision: D27765260

fbshipit-source-id: b9857dc777c244b9d7d6643b608596d31435ecda

Summary: We don't use gradents of sample_pdf. Here we disable gradient calculation around calling it, instead of calling detach later. There's a theoretical speedup, but mainly this enables using sample_pdf implementations which don't support gradients.

Reviewed By: nikhilaravi

Differential Revision: D28057284

fbshipit-source-id: 8a9d5e73f18b34e1e4291028008e02973023638d

Summary: As remarked in #655, we need to specify the fvcore channel before conda-forge, because there is now an fvcore on conda-forge which we don't aim to use. Compare D27589827

Reviewed By: nikhilaravi

Differential Revision: D27938996

fbshipit-source-id: 8abf7994a26e0ea9e6a19fb1e246aba7af091ddc

Summary: We can check the bounds without using extra memory. This produces a small speedup in NeRF training (like 0.5%).

Reviewed By: nikhilaravi

Differential Revision: D27859691

fbshipit-source-id: d566420c465f51231f4a57438084c98b73253046

Differential Revision: D27934268

fbshipit-source-id: 51185fa493451012a9b2fd37379897d60596f73b

Summary:
When a list of Meshes is `join_batched()`, the `num_verts_per_mesh` in the list would be unexpectedly modified.

Also some cleanup around `_num_verts_per_mesh`.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/623

Test Plan: A modification to an existing test checks this.

Reviewed By: nikhilaravi

Differential Revision: D27682104

Pulled By: bottler

fbshipit-source-id: 9d00913dfb4869bd6c7d3f5cc9156b7b6f1aecc9

Reviewed By: divchenko

Differential Revision: D27835360

fbshipit-source-id: cbb23793ee57382e43bd65bd40cfeb2820c6eec2

Summary: The renderer gets used for visualization only in places. Here we avoid creating an autograd graph during that, which is not needed and can fail because some of the graph which existed earlier might be needed and has not been retained after the optimizer step. See https://github.com/facebookresearch/pytorch3d/issues/624

Reviewed By: gkioxari

Differential Revision: D27593018

fbshipit-source-id: 62ae7a5a790111273aa4c566f172abd36c844bfb

Summary: Internally flake8 sometimes crashes. Stop the rest of the linter being bypassed when this happens.

Reviewed By: theschnitz

Differential Revision: D27765255

fbshipit-source-id: 7ad1fb4630a05f4bc3763cf13370f5e4e00228de

Summary: See title.

Reviewed By: nikhilaravi

Differential Revision: D27658290

fbshipit-source-id: 232550f04df4951f7f3d712047b39e510a2f4209

Summary: Lint after recent changes.

Reviewed By: nikhilaravi

Differential Revision: D27682328

fbshipit-source-id: 285d159010d886e4e97902995adbdff875fd3c19

Summary: Collection of spelling things, mostly in docs / tutorials.

Reviewed By: gkioxari

Differential Revision: D26101323

fbshipit-source-id: 652f62bc9d71a4ff872efa21141225e43191353a

Summary: Test path special case

Reviewed By: bottler

Differential Revision: D27566817

fbshipit-source-id: c7b3ac839908c071f1378a37b7013b91ca4e8b18

Summary: Simplify finding the data directories in the tests.

Reviewed By: nikhilaravi

Differential Revision: D27634293

fbshipit-source-id: dc308a7c86c41e6fae56a2ab58187c9f0335b575

Summary: Make common functions for finding directories where test data is found, instead of lots of tests using their own `__file__`  while trying to get ./tests/data and the tutorials data.

Reviewed By: nikhilaravi

Differential Revision: D27633701

fbshipit-source-id: 1467bb6018cea16eba3cab097d713116d51071e9

Summary: flake8 no longer respects the black fmt:off message, so include specific line-length exclusion.

Reviewed By: nikhilaravi

Differential Revision: D27624641

fbshipit-source-id: adcdb6f55b382fbf252eede3f3ddeda0621da883

Summary: Fixes implicit function doc.

Reviewed By: theschnitz, nikhilaravi

Differential Revision: D26870946

fbshipit-source-id: 5d03ebbc284153c41b9d6695b28c8b4e11bc0a5c

Summary:
Update `main` build to latest CircleCI image - Ubuntu 2020.04.

Avoid torch.logical_or and logical_and for PyTorch 1.4 compatibility.

Also speed up the test run with Pytorch 1.4.0 (which has no ninja) by not setting NVCC_FLAGS for it.

Reviewed By: theschnitz

Differential Revision: D27262327

fbshipit-source-id: ddc359d134b1dc755f8b20bd3f33bb080cb3a0e1

Summary:
As noted in #601, the example notebook was using an internal function _read_image from PyTorch3D, which has changed signature recently. It is not meant to be used externally. Switch to using PIL directly.

Other changes: (1) removed unused skimage import. (2) some small tidyups. We now don't have places where cells modify values set by other cells. (3) removed bad calls to `plt.grid` which have no effect.

Reviewed By: theschnitz, nikhilaravi

Differential Revision: D27080372

fbshipit-source-id: 2fce651b3e5d7a4619f0a2b298c5db18c8fa1e2c

Summary: Make black and isort stop disagreeing by removing some unneeded comments around import statements. pyre ignores are moved.

Reviewed By: theschnitz

Differential Revision: D27118137

fbshipit-source-id: 9926d0f21142adcf9b5cfe1d394754317f6386df

Summary: When viewing two or more pointclouds in a single plot, we should be subsampling each one separately rather than subsampling their union.

Reviewed By: nikhilaravi

Differential Revision: D27010770

fbshipit-source-id: 3c7e04a6049edd39756047f985d5a82c2601b3a2

Summary: Avoid using the newish member function isfinite. We use torch.isfinite instead for torch 1.4.0 compatibility.

Reviewed By: nikhilaravi

Differential Revision: D26946672

fbshipit-source-id: 853c3716f40061152f1ea54a39eb60b565de7c2c

Summary: Small change to swap how height/width are inferred from the image_size setting.

Reviewed By: gkioxari

Differential Revision: D26648340

fbshipit-source-id: 2c657a115c96cadf3ac63be87b0e1bfba10c9315

Differential Revision: D26658196

fbshipit-source-id: f38950ace2ff95ad1170a0d8acd5420bcb6dd4b7

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 (https://github.com/facebookresearch/pytorch3d/commit/3463f418b8a3e3c3e6b6a20007b38eb71938ec7f) / 965c9c
-Add test that all tutorials are valid json.

Reviewed By: nikhilaravi

Differential Revision: D26366466

fbshipit-source-id: c4ab8b7e6647987069f7cb7144aa6ab7c24bcdac

Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/553

Reviewed By: theschnitz

Differential Revision: D26257591

Pulled By: gkioxari

fbshipit-source-id: 899a3f733a77361e8572b0900a34b55764ff08f2

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