preprocess op• Data kinds: voxel → voxel
• Call: import volops; volops.volume_downsample(vol, factor, mode='mean') (or ops3d.get("volume_downsample"))
Block-pool a `(D, H, W)` volume by an integer *factor* per axis (data decimation).
• depth_sensors — 深度センサの知識 — 測距原理・実機の値・欠測の出方
• 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.
• volume_downsampling — py -3.11 examples_3d/volume_downsampling.py
voxel as input)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
preprocess)statistical_outlier_removal · radius_outlier_removal · voxel_grid_downsample · mls_smooth
*Provenance: volops.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.