illusion_cafe_wall — GENERATIVE `illusion` op

• Data kinds: none → rgb (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.illusion_cafe_wall(size: 'int' = 40, rows: 'int' = 8, cols: 'int' = 10, mortar: 'float' = 2.0, shift: 'float' = 0.5) -> 'np.ndarray' (to call the implementation directly, import illusion; illusion.illusion_cafe_wall(size: 'int' = 40, rows: 'int' = 8, cols: 'int' = 10, mortar: 'float' = 2.0, shift: 'float' = 0.5) -> 'np.ndarray'; from the registry, opsgenerative.get("illusion_cafe_wall"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

カフェウォール錯視。目地は厳密な水平線なのに、傾いて見える。

`shift は 1 行ごとの市松のずれ(size` 比)。ずれが 0 または 0.5 では

錯視は消える —— 0.25 前後が最も強いというのが古典的な観察で、この op は

そのままずらし量を振れるようにしてある(`shift=0.25` が既定ではないのは、

生成器の既定値で「効果が最大」を主張したくないため)。

不変量: 目地の中心 y は `k * size`(k = 1..rows-1)ちょうど。

Detailed usage guide

• generative_art family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• poc_calipers_under_illusion — py -3.11 examples/poc_calipers_under_illusion.py

Ops the type connects to (they accept `rgb` as input)

—

Same category (`illusion`)

illusion_muller_lyer · illusion_ponzo · illusion_zollner · illusion_poggendorff · illusion_fraser_spiral · illusion_ebbinghaus · illusion_kanizsa · illusion_checker_shadow

*Provenance: illusion.py — GENERATIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

illusion_cafe_wall — GENERATIVE illusion op