score_to_position — REPRCONV score op

• Data kinds: score → position

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

Usage

A score volume → the location of its maximum, position (z, y, x). The exit from score.

argmax on the integer grid (no subpixel refinement -- that is the job of the existing refine_peak_newton; imitating it here would give different answers in 2 places). One-way (the volume cannot be recovered from 1 position).

Args:

score: (D, H, W).

Returns:

3-tuple of float (z, y, x).

Raises:

ValueError: not 3-D / 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

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

position_to_points

Same category (score)

correlation_score · score_to_image2d

*Provenance: reprconv.py — REPRCONV 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.