anomaly_eval op• 数据种类:video × video → table
• 调用: import fullseye as fs; fs.ledger.anomaly_region_overlap(predicted, masks, min_overlap=0.5)(要直接调用实现,import anomeval; anomeval.anomaly_region_overlap(predicted, masks, min_overlap=0.5);从台账取用则 opsspc.get("anomaly_region_overlap"))
单一工作点下二值缺陷预测与真值各区域的重叠率(table)。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
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].
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者、年份)与用途见上面的族使用指南。
• 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
table 作为输入)msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo
anomaly_eval)anomaly_image_auroc · anomaly_pixel_auroc · anomaly_pro · anomaly_pixel_f1_max · anomaly_image_f1_max · anomaly_operating_point
*Provenance: anomeval.py — SPC 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.