fullseye

anomaly_region_overlap — SPC anomaly_eval op

• データ種: video × video → table
• 呼び出し: import fullseye as fs; fs.ledger.anomaly_region_overlap(predicted, masks, min_overlap=0.5) (実装を直接呼ぶなら import anomeval; anomeval.anomaly_region_overlap(predicted, masks, min_overlap=0.5)、台帳から引くなら opsspc.get("anomaly_region_overlap"))

使い方

Per-region overlap of a binary defect prediction with the ground-truth regions at one operating point (table).

predicted and masks are binary (n, H, W) (or 2-D). For every 8-connected ground-truth region C: overlap = |predicted ∩ C| / |C|; a region counts as detected when overlap >= min_overlap. Returns overlap (per region, in mask order), pro (their mean = one point of the PRO curve), detected_fraction, hit_any (fraction of regions touched by at least one predicted pixel), fpr (predicted good pixels / good pixels), n_regions, min_overlap.

Raises ValueError on empty / mismatched / non-binary input, no ground-truth region, or min_overlap outside (0, 1].

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• anomaly_eval_metrics — py -3.11 examples/anomaly_eval_metrics.py
• poc_good_sample_variation_model — py -3.11 examples/poc_good_sample_variation_model.py
• poc_patch_anomaly — py -3.11 examples/poc_patch_anomaly.py

型が繋がる次の op(table を入力に取れる)

msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo

同カテゴリ(anomaly_eval)

anomaly_image_auroc · anomaly_pixel_auroc · anomaly_pro · anomaly_pixel_f1_max · anomaly_image_f1_max · anomaly_operating_point

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Provenance: anomeval.py — SPC operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.

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