illusion op• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.illusion_ground_truth(name: 'str' = '') -> 'dict' (to call the implementation directly, import illusion; illusion.illusion_ground_truth(name: 'str' = '') -> 'dict'; from the registry, opsgenerative.get("illusion_ground_truth"))
> This operator's description has not been translated yet. The original text follows as it is.
錯視が守っている厳密な不変量を表で返す(`name` 空で全件)。
★これがこの族の芯。図だけを配ると「きれいだね」で終わるが、**図と一緒に
真値が出てくる**と、測る側を採点できる。返り値の `value` はすべて
「あるべき値」であって、測った値ではない(測るのは呼んだ側の仕事)。
• 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.
• poc_calipers_under_illusion — py -3.11 examples/poc_calipers_under_illusion.py
table as input)perpetual_step · perpetual_render
illusion)illusion_cafe_wall · illusion_muller_lyer · illusion_ponzo · illusion_zollner · illusion_poggendorff · illusion_fraser_spiral · illusion_ebbinghaus · illusion_kanizsa
*Provenance: illusion.py — GENERATIVE 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.