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Version 0.6.2

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@bottler bottler released this 28 Apr 16:15
· 447 commits to main since this release

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