macro op• Data kinds: image → image
• Call: fullseye.apply(img, "macro_denoise", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
A fixed pipeline discovered by evolutionary search (`evolve.py / robust.py): bilateral(a=0.10,b=0.76) → bilateral(a=0.12,b=0.27) → bilateral(a=0.73,b=0.11)` (three stages of the existing bilateral filter op chained with different strength parameters).
> The detailed description below is the original text — the summary and the headings are translated.
`a, b は凍結済みで未使用 —— このパイプライン自体が進化で選ばれた1 つの固定構成である。denoise 課題（PSNR）でロック済みホールドアウト26.28dB、手作りベースライン 22.83dB を上回る（train/holdout/locked_holdoutのどれで測っても手作りベースラインに勝っている）。HALCON に対応する単一オペレータは無い（halcon=""`）。
• gallery2d_physics_alife_3d 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.
• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
macro)macro_edge · macro_binarize · macro_vol_denoise
*Provenance: ops.py — 2D 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.