flow op• Data kinds: volseq → volseq
• Call: import fullseye as fs; fs.ledger.volseq_speed(volseq, win: 'int' = 3, pyr_levels: 'int' = 3, iters: 'int' = 5, reg: 'float' = 0.001) -> 'np.ndarray' (to call the implementation directly, import live4d; live4d.volseq_speed(volseq, win: 'int' = 3, pyr_levels: 'int' = 3, iters: 'int' = 5, reg: 'float' = 0.001) -> 'np.ndarray'; from the registry, opslive4d.get("volseq_speed"))
Returns the speed |d| [voxel/frame] between adjacent frames of a volume time series as (T − 1, Z, Y, X) (volseq).
The magnitude of vol_flow_3d applied to each frame pair. A map of where and when things moved; the colour of volseq_render_orbit(mode="speed") is this too. Needs T >= 3 (the result is also a volseq = T − 1 >= 2 volumes).
• 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.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• (none yet)
volseq as input)volseq_mip_video · volseq_cut_video · volseq_pathline_render · volseq_pathline_orbit · volseq_interpolate_flow · volseq_magnify_motion · volseq_render_orbit · focus_sweep_height_video
flow)vol_flow_3d · volseq_pathline_render · volseq_pathline_orbit
*Provenance: live4d.py — LIVE4D 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.