anomaly_eval op• 数据种类:video × video → table
• 调用: import fullseye as fs; fs.ledger.anomaly_pixel_f1_max(scores, masks)(要直接调用实现,import anomeval; anomeval.anomaly_pixel_f1_max(scores, masks);从台账取用则 opsspc.get("anomaly_pixel_f1_max"))
由异常得分图与缺陷掩膜,求遍历所有阈值的像素级 F1 最大值(table)。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
scores and masks are (n, H, W) (or lists / single 2-D maps); a pixel is predicted defective when its score is >= the threshold. The F1 = 2TP / (2TP + FP + FN) is evaluated exactly at every distinct score (sorted cumulative sums, no threshold grid); the highest threshold wins a tie. Returns f1, threshold, precision and recall at the maximum, n_pos and n_neg (pixels). It counts pixels, like the pixel AUROC, not regions (see anomaly_pro): a small defect weighs little however well it is found.
Raises ValueError on empty / mismatched / non-finite input, non-binary masks, or when the masks contain no defect pixel or no good pixel.
• 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。
• 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_region_overlap · 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.