rank_data — IMGMETRICS iqa op

• Data kinds: any → any

• Call: import fullseye as fs; fs.ledger.rank_data(x) -> 'np.ndarray' (to call the implementation directly, import iqatid; iqatid.rank_data(x) -> 'np.ndarray'; from the registry, opsimgmetrics.get("rank_data"))

Usage

Average ranks (starting at 1). Ties get the average of their ranks (same definition as 'average' in scipy.stats.rankdata).

Example: [10, 20, 20, 30] → [1, 2.5, 2.5, 4]. ±inf get the maximum / minimum rank (tied with each other). Raises ValueError: length below 2, nan.

Detailed usage guide

• image_difference_metrics family guide

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)

• poc_iqa_tid2013 — py -3.11 examples/poc_iqa_tid2013.py

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

rgb_to_lab · lab_to_rgb · rgb_to_xyz · xyz_to_lab · delta_e_2000 · delta_e_76 · delta_e_map · mse

Same category (iqa)

luma_limited_u8 · rank_spearman · rank_kendall_b · tid2013_published · tid2013_root · tid2013_index · tid2013_metric_values · tid2013_evaluate

*Provenance: iqatid.py — IMGMETRICS 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.