mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-11-05 10:22:13 +08:00
Summary:
The following snippet should work in more cases.
point_cloud = Pointclouds(
[pcl.points_packed() for pcl in point_clouds],
features=[pcl.features_packed() for pcl in point_clouds],
)
We therefore allow features and normals inputs to be lists which contain some (but not all) Nones.
The initialization of a Pointclouds from empty data is also made a bit better now at working out how many feature channels there are.
Reviewed By: davnov134
Differential Revision: D31795089
fbshipit-source-id: 54bf941ba80672d699ffd5ac28927740e830f8ab