iqa op• Data kinds: any → table
• Call: import fullseye as fs; fs.ledger.tid2013_index(root) -> 'dict' (to call the implementation directly, import iqatid; iqatid.tid2013_index(root) -> 'dict'; from the registry, opsimgmetrics.get("tid2013_index"))
Reads mos_with_names.txt and returns the ledger of pairs.
Returns: names (3000, spelled as in the distribution), mos (3000,), ref / dist_type / level (each an int array, 1-based), ref_files (paths of the 25 references, in number order), dist_files (paths of the 3000 distorted images, in ledger order), root. The author values metrics_values/*.txt have no names and are listed in this ledger order (i01_01_1 … i25_24_5), so this function owns the order. Raises ValueError: row count ≠ 3000, a name not of the form iXX_YY_Z.bmp, the set of names does not match the BMPs in distorted_images/ (case-insensitive), the 25 references are not all present, or MOS is outside [0, 9].
• image_difference_metrics family guide
• 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.
• poc_iqa_fsim_gmsd_vif — py -3.11 examples/poc_iqa_fsim_gmsd_vif.py
• poc_iqa_tid2013 — py -3.11 examples/poc_iqa_tid2013.py
table as input)luma_limited_u8 · rank_data · tid2013_by_distortion
iqa)luma_limited_u8 · rank_data · rank_spearman · rank_kendall_b · tid2013_published · tid2013_root · 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.