macro op• Data kinds: image → image
• Call: fullseye.apply(img, "macro_binarize", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
A fixed pipeline discovered by evolutionary search: `bilateral(a=0.06,b=0.89) → unsharp(a=0.51,b=0.34) → bilateral(a=0.04,b=0.24) → lowpass(a=0.75,b=0.59) → gopen(a=0.38,b=1.00) → unsharp(a=0.78,b=0.68)` (6 stages that alternate smoothing and unsharp masking, clean up with a lowpass and grayscale opening, then sharpen once more).
> 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。binarize 課題（IoU）でロック済みホールドアウト 0.75、手作りベースライン 0.62 を上回るが、train 0.91 / holdout0.95 に対し locked_holdout は 0.75 まで落ちる —— 分割ごとの差を隠さず書く（feedback_benchmark_honest_disclosure）。HALCON に対応する単一オペレータは無い。
• 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
macro_binarize 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
macro)macro_denoise · macro_edge · 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.