flow_speed — REPRCONV `flow` op

• Data kinds: flow_scattered → signal

• Call: import fullseye as fs; fs.ledger.flow_speed(flow) (to call the implementation directly, import reprconv; reprconv.flow_speed(flow); from the registry, opsreprconv.get("flow_speed"))

Usage

Scattered flow (N,3) → a speed signal (N,). The exit from scattered flow.

One-way (the direction is discarded). Passing a dense flow is fail-closed -- under the same type name flow 2 different things live, so the receiving side must always be made to choose.

Args:

flow: (N, 3) displacement vector field.

Returns:

(N,) float64.

Raises:

ValueError: not a scattered flow / non-finite.

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.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• representation_conversion — py -3.11 examples/representation_conversion.py

• representation_roundtrip — py -3.11 examples/representation_roundtrip.py

Ops the type connects to (they accept `signal` as input)

—

Same category (`flow`)

flow_magnitude · flow_to_rgbimage · flow_apply

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

flow_speed — REPRCONV flow op