emmi.pipeline.sample_processors.point_sampling¶

Classes¶

Randomly subsamples points from a pointcloud.

class emmi.pipeline.sample_processors.point_sampling.PointSamplingSampleProcessor(items, num_points, seed=None)¶

Bases: ksuit.data.SampleProcessor

Randomly subsamples points from a pointcloud.

Parameters:

items (set[str]) – Which pointcloud items should be subsampled (e.g., input_position, output_position, …). If multiple
present (items are)
(e.g. (the subsampling will use identical indices for all items)
downsample (to)
subsampling). (output_position and output_pressure with the same)
num_points (int) – Number of points to sample.
seed (int | None) – Random seed for deterministic sampling for evaluation. Default None (i.e., no seed). If not None, requires sample index to be present in batch.