perpetual_loop_seam — GENERATIVE `loop` op

• Data kinds: rgbvideo → table

• Call: import fullseye as fs; fs.ledger.perpetual_loop_seam(video: 'np.ndarray') -> 'dict' (to call the implementation directly, import perpetual; perpetual.perpetual_loop_seam(video: 'np.ndarray') -> 'dict'; from the registry, opsgenerative.get("perpetual_loop_seam"))

Usage

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

循環動画の継ぎ目を数で出す(`table`)。

`seam = 最終コマ → 初コマの差、typical` = コマ間の差の中央値。

継ぎ目の無い動画では `ratio = seam / typical` が 1 に近い(最後の

またぎが、ほかのまたぎと見分けが付かない)。0 ではなく 1 が正解なのが

ここの読みどころ —— 0 は「動きが止まっている」という意味になる。

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_endless_zoom_and_turning_solids — py -3.11 examples/poc_endless_zoom_and_turning_solids.py

• poc_illusions_and_perpetual_drawing — py -3.11 examples/poc_illusions_and_perpetual_drawing.py

• poc_periodic_video_boundary — py -3.11 examples/poc_periodic_video_boundary.py

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

perpetual_step · perpetual_render

Same category (`loop`)

perpetual_loop

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

perpetual_loop_seam — GENERATIVE loop op