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Releases: facebookresearch/pytorch3d

Version 0.7.8

13 Sep 14:37
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This version supports PyTorch 2.1 to 2.4

New feature

  • hausdorff distance / Add "max" point reduction for chamfer distance 44702fd
  • limited support for AMD GPUs. Pulsar not included

Improvements

  • allow matrix_to_quaternion onnx export 7edaee7
  • remove dependency on fvcore 4df110b

Fixes

  • obj material loading when some unspecified names but not all 9acdd67
  • Fix: setting FrameData.crop_bbox_xywh for backwards compatibility d0d0e02

Version 0.7.7

27 Jun 11:32
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This version supports PyTorch 2.0 to 2.3

New feature

  • Allow indexing for classes inheriting Transform3d ​​b0462d8
  • ImplicitronRayBundle.float 4ae25bf
  • Multiple maps in TexturesUV 38cf0dc

Improvements

  • Optimize list_to_packed ccf2291
  • Tutorials’ installation of builds made more robust 31e3488

Fixes

  • Fix CUDA Marching cubes bug introduced in previous version 7566530
  • knn error checking 717493c

Version 0.7.6

22 Feb 18:30
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This version supports PyTorch 2.2.0

New features

  • We can now read UV textures from a PLY file #1100
  • Align_corners switch in Volumes 94da884
  • submeshing now supports TexturesUV and TexturesAtlas 8a27590 e46ab49
  • Colors in cubify ae9d878

Improvements

  • PointsRenderer documentation 3b4f8a4
  • Made TexturesUVs more efficient 06cdc31
  • Numerical stability improved in so3_log_map / so3_exp_map 292acc7
  • get_rgbd_point_cloud takes any number of channels, not just RGB 799c1cd

Fixes

  • Fix to C++ marching cubes c292c71
  • Fix to cuda marching cubes (which was broken in 0.7.5) f613682 7606854
  • Remove unused argument mask_points from get_rgbd_point_cloud and fix get_implicitron_sequence_pointcloud, which assumed it was used f4f2209
  • Standardize matrix_to_quaternion output 3087ab7

Version 0.7.5

31 Oct 20:06
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Brings PyTorch 2.1 support

New feature

  • Implicitron: Integral Position Encoding, blurpool; based on MIP-NeRF ccf860f 29b8ebd 5910d81 3d011a9 9446d91
  • Chamfer distance: single-direction option, absolute option 5ffeb4d
  • Chamfer without point reduction d84f274
  • VolumeSampler: expose padding_mode for inside out rendering b7f4ba0

Implicitron improvements

  • Softly deprecate the get_str=False flag in stats.print. d08fe6d
  • FrameDataBuilder is more extensible b046259
  • SQLDataset improvements d2119c2 09a99f2 cd5db07
  • OverfitModel’s fine and coarse implicit functions have the right names 35badc0
  • Read depth maps from OpenXR files using OpenCV d851bc3

Minor

Version 0.7.4

10 May 15:14
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A small release. It also has builds for PyTorch 2.0.1

Minor new features

  • Saving normals to OBJ 092400f
  • Saving TexturesVertex to GLB 178a777
  • Implicitron can now read from a new dataset format which stores metadata in sqlite files. This requires the sqlalchemy library. 32e1992

Fixes

  • Error in example in cameras.md f5a117c
  • Build fix with newer CUB b921efa
  • Warnings when we don’t obey user’s request of torch.use_deterministic_algorithms. Some cuda implementations in pytorch3d are non-deterministic. ef5f620
  • Implicitron evaluation still works when ground truth depth map is not supplied 0e3138e
  • Loading bounding boxes in Co3D-type datasets in implicitron was failing when masks were not requested 7aeedd1

Version 0.7.3

05 Apr 13:04
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A small release. We now support PyTorch 2.0.

Minor new features

  • join_pointclouds_as_scene a123815
  • OverfitModel for NeRF-style training with overfitting to one scene, a specific case of GenericModel 813e941

Improvements

  • No relative imports in GenericModel, making the file easier to copy into a user’s project. d388881
  • Implicitron classes which are both nn.Modules and configurables now have simpler initialization, where user does not need to worry about calling nn.Module’s __init__. 9540c29 c8af1c4
  • Windows compilation fix 3388d3f
  • doc improvements: opencv cameras 18c38ad
  • Camera objects can now be iterated 84851c8
  • Fixes for RayBundle plotting 9dc28f5
  • Fixing bug in rasterizer.py caused by duplicate line (#1421) b95535c
  • Doc and fixes for get_rgbd_point_cloud, including new euclidean option a12612a
  • Implicitron improvements to Co3D-style dataset and evaluation including to render_flyaround: 1de2d0c d561f19 54eb76d 3239594 11959e0 a7256e4
  • Version incrementing for inplace tensor modifications 7d8b029
  • Implicitron’s components now ensure the registry is prefilled using a new extension point pre_expand. This is for compatibility with lazy import systems like cinder. c759fc5
  • Big refactor of Implicitron’s json_index_dataset, with much loading logic moved to a new FrameDataBuilder concept. ebdbfde

Version 0.7.2

19 Dec 23:45
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A small release. Python 3.7 is no longer supported. We support from PyTorch 1.9.0 to PyTorch 1.13.0. [EDIT: post-release, builds for 1.13.1 have also been added.]

New feature

  • Marching cubes now has an efficient CUDA implementation. 8b82918 . Improvements to the cpu code too 1706eb8

Minor new features

  • The experimental glTF support now allows writing meshes to GLB files, including with TexturesUV textures. cc2840e
  • Specification of param groups in implicitron made more flexible 7be49bf
  • Implicitron’s loader for Co3D-style datasets can load multiple categories e4a3298
  • Implicitron can be used without the lpips library being present. 322c8f2

Fixes

  • Implicitron visualization c3a6ab0 94f321f
  • Implicitron’s rasterize_mc 1706eb8
  • Implicitron’s voxel grid, especially its scaffold a1f2ded bea84a6 f711c4b
  • raysampling: The origins in a raybundle (which downstream code typically doesn’t use) were wrong when unit_directions=True eff0aad

Documentation

  • Fixes to readmes and readthedocs

Version 0.7.1

23 Oct 16:13
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This release brings a lot of fixes and improvements to implicitron.

PyTorch 1.8 is no longer supported. We support from PyTorch 1.9.0 to PyTorch 1.12.1.

New features

  • Marching cubes fixes to existing python implementation, and fast C++ implementation for when data is on CPU 0d8608b 850efdf
  • New fisheye camera object. This involves a change to the API to allow such “nonlinear” cameras, i.e. those whose projection is not a projective transformation. In particular, get_projection_transform can now fail. b0515e1 d19e624 84fa966 8a96770

Minor new features

  • get_se3_log function on Transform3D 9a0f9ae
  • get_rotation_to_best_fit_xy in circle_fitting 74bbd6f
  • Saving a mesh via IO to OBJ now includes TexturesUV texture 6ae6ff9
  • Checkerboard mesh utility ce3fce4
  • Camera batches can now be indexed by bool tensors b7c826b
  • Implicitron: You can just use a Configurable class straight away, you no longer need to call expand_args_fields or get_default_args first. d6a197b
  • Implicitron: In the newest pytorch versions, you can now use the faster foreach versions of optimizers 209c160
  • Implicitron: full_image variants of psnr, l1 and lpips losses (ignoring mask). The masked image ones are renamed to make this clear. 7b98570 d35781f
  • Implicitron: Enable additional test-time source views for json dataset provider v2 2ff2c7c
  • Implicitron: Option for filtering outlier input cameras in trajectory estimation d281f8e
  • Implicitron: yaml configs to train selected methods on CO3Dv2 1163eaa
  • Implicitron raymarcher replicate_last_interval option. 611aba9
  • Mixed Frame Raysampling. You can now sample rays iid from a group of cameras, instead of a fixed number from each camera. This needed a new RayBundleHeterogeneous alternative to RayBundle. Implicitron now has its own raybundle object. c311a4c ad8907d 6ae863f

Major bug fix

Bug fixes

  • Cloned camera objects can now be saved with pickle and torch.save efea540
  • Fix implicitron iteration time measurement dd58ded
  • IOU3d fix for numerical stability 1bfe6bf
  • Update SMPL url 5e7707b
  • Implicitron doc fixes fdaaa29 4711d12
  • Implicitron reduction feature aggregation broadcasting fix 73ba66e
  • Implicitron Fix for loading Co3Dv2’s point clouds 95a2acf

Performance improvements

  • Omit _check_valid_rotation_matrix by default 46cb5aa
  • _compute_vertex_normals does less work a65928d
  • Pulsar logging removed for performance gain 7623457
  • VolumeSampler memory saving 4c8338b
  • Implicitron: Avoid extra CPU->GPU communication in raysampling 305cf32
  • Mesh rasterization on CPU now uses multiple threads 6471893

Minor

  • In implicitron, there are components in progress for voxel-grid-based implicit functions: decoders, voxel grids, param groups edee25a e7c609f fe5bdb2 24f5f4a
  • Implicitron config system fixes 4d9215b da7fe28 8339cf2
  • Implicitron error improvements a607dd0
  • Implicitron JsonIndexDataset fix for numpy.split warning 0b5def5
  • Doc fix for IOU a2659e1 6080897
  • Doc fix for Implicitron base renderer 4711d12
  • pytorch3d.ops doc fixes 6653f44
  • Lengths validation in chamfer and farthest_points cb7bd33
  • Implicitron visualize_reconstruction and render_flyaround improvements and fixes 6e25fe8 3b3306f f6d43ea c79c954
  • Implicitron compatibility with hydra 1.2 90b758f
  • Implicitron SimpleDataLoaderMapProvider sample batches without replacement 73ea418
  • Implicitron: visdom is now optional ff933ab

Internal

  • packed_to_padded now accepts all sizes f34da3d
  • test_opengl_utils unfriendly test fixed 9a1213e
  • Implicitron: raybundle input to ImplicitFunctions has been made more consistent 72c3a0e
  • location logic factored out of Volumes into a new VolumeLocator class so it can be reused in other objects. f825f7e
  • Sample_farthest_points uses CUB instead of a handwritten block reduction 8ea4da2
  • Implicitron: MLP and Transformer have moved as they are no-longer only used by nerf. 898ba5c
  • Cameras benchmarking 03562d8
  • Removed wrappers for eigh, solve, lstsq, and qr because we now rely on PyTorch 1.9 or greater d4a1051

Version 0.7.0

10 Aug 11:16
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This release brings Implicitron and MeshRasterizerOpenGL. There are builds for PyTorch 1.12.0, but no longer 1.7.x.

Large New Features

  • Implicitron, a framework for new-view synthesis via modeling neural-network based representations. See its README for an introduction.
  • MeshRasterizerOpenGL, a faster alternative to MeshRasterizer described in Cole et al.. The speedup, which grows with mesh size, is about 20x on a 2M-faces-large mesh. This rasterizer is designed to work with SplatterPhongShader, a new per pixel lighting model. To use it, you must have pycuda with the gl extension enabled, as well as pyopengl.

New features

  • You can now choose to ignore the XY flip in cameras’ transform_points_screen commit
  • Fragments is now a dataclass with docstring and detach() commit
  • SoftDepthShader and HardDepthShader for rendering depth maps commit and commit
  • AmbientLights can now be used to render an arbitrary number of channels (not just RGB) commit

Bug fixes

  • Fix for loading PLY files with heterogenous faces (e.g. mixture of triangles and quadrilaterals commit
  • Pointclouds.num_points_per_cloud now always returns a tensor commit
  • Chamfer fix for empty pointclouds commit

For developers

  • We are now using black 22.3 or later
  • Tests should now be run from the pytorch3d root directory not the tests directory.

Minor

  • In blending, pull common functionality into get_background_color commit
  • raising translated errors with from None so a simpler traceback is printed 8e0c82b
  • PnP test fix commit
  • fix test which had cuda indexes of a cpu tensor commit

Version 0.6.2

28 Apr 16:15
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This release brings new targets and many improvements.

Builds for PyTorch 1.10.1, 1.10.2, 1.11.0, but no longer 1.6.0. Builds for Python 3.10 but no longer 3.6.

New Features

  • MultinomialRaysampler and NDCMultinomialRaysampler replace GridRaysampler and NDCGridRaysampler commit which can sample using the new n_rays input and also bring stratified sampling along rays and direction normalization (also commit
  • Function join_cameras_as_batch commit
  • Function join_pointclouds_as_batch commit
  • Camera batches can be indexed commit and commit
  • Meshes.submesh function to take a set of faces from a mesh. commit and commit
  • L1 support for KNN and chamfer commit

Bug fixes

  • Rasterizer.to broken without cameras commit
  • Joining batches of meshes with TexturesAtlas and TexturesUV broke first input meshes’ texture commit
  • Transform3D.stack was entirely broken. commit which also added typing.
  • The function cameras_from_opencv_projection always created on CPU #1021 commit
  • Batching didn’t work for AmbientLights #1043 commit
  • Pointclouds.subsample failed on windows #1015 commit
  • Fit_textured_meshes tutorial now turns off perspective_correct in the final optimization, to avoid nans. commit

Improvements

  • Points_normals much faster through use of symeig workaround commit
  • A warning is now printed to console on rasterizer bin overflow commit

Small improvements

  • MeshRendererWithFragments and matrix_to_axis_angle made more importable
  • FacePointDistance, FacePointDistance and point_mesh_face_distance get min_triangle_area argument commit - default also changed in commit
  • Fix for small faces in IoU3D commit
  • Lower the epsilon value in the IoU3D commit
  • Flexible background color for point compositing commit and commit
  • In points_to_volumes, the rescaling of features is now optional. commit
  • LinearWithRepeat layer clarified and moved inside PyTorch3D from the NeRF project commit
  • HarmonicEmbedding moved inside pytorch3d from projects/nerf. commit and commit
  • Invalid default values in Meshes.init removed commit
  • Support obj files missing usemtl declarations commit
  • CamerasBase.unproject_points typing commit
  • Fix for Pointclouds.init in certain cases with None in a list commit
  • Consistency validation for sampling_mode in joining TexturesUV commit
  • Doc fix for camera space fix from v0.6.1 commit
  • Doc fix for renderer pictures commit
  • New ndc_grid_sample to handle grid-sampling using our NDC conventions commit
  • Fix scatter_ error in cubify on CPU commit
  • In Transform3D, fix some dtype inconsistencies commit
  • Fixes to make windows builds happier commit

Internal

  • Rename pytorch3d.common.types to pytorch3d.common.datatypes commit
  • Cleanup in ply_io commit
  • A major new feature, a framework for new-view synthesis via modeling neural-network based representations, called implicitron, is work in progress.
  • We now use usort not isort for sorting imports.
  • Future proofing calls to torch.meshgrid commit and symeig commit also commit. Also future proofing tests for a change to autograd behaviour that inplace operations don’t need to return the same object commit
  • Future proofing for the loss of TH headers in pytorch (needed for PyTorch 1.11) commit and commit
  • Base class for shaders introduced commit