random_scale — 3D augment op

• Data kinds: points → points

• Call: import pcl_augment; pcl_augment.random_scale(points, lo: 'float', hi: 'float', seed: 'int' = 0) -> 'Tuple[np.ndarray, float]' (or ops3d.get("random_scale"))

Usage

Apply a uniform scale `s ~ U(lo, hi) about the origin and return (scaled, s)`.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• augment_pointcloud — py -3.11 examples_3d/augment_pointcloud.py

Ops the type connects to (they accept points as input)

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

Same category (augment)

jitter · random_rotation · random_dropout · elastic_deform · cutout

*Provenance: pcl_augment.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.