annotate_outline_layout — ANNOTATE `paper` op

• Data kinds: mask → table

• Call: import annotate; annotate.annotate_outline_layout(mask) (or opsannotate.get("annotate_outline_layout"))

Usage

Returns a table (dict): the boundary loops of a binary mask (closed polygons along pixel edges) and its centroid.

> The detailed description below is the original text — the summary and the headings are translated.

輪郭は :func:contours_xld._trace_mask_boundaries(外側 + 穴、成分ごと)。

多角形の面積はマスクの画素数と厳密に一致する。

Returns

-------

dict

``{"contours": [(K,2) の (x,y)], "centroid": (x,y), "area": int,

"bbox": (x,y,w,h), "n_loops": int}``。

Raises

------

ValueError

mask が 2-D でない、真の画素が無い、非有限。

Detailed usage guide

• figure_annotation family guide

Background guides (the physics and conventions behind this op)

• dataset_conventions — 学習データセット規約の知識 — COCO / YOLO / VOC と外観検査での落とし穴

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)

• paper_figure — py -3.11 examples/paper_figure.py

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

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Same category (`paper`)

annotate_leader_layout · annotate_leader · annotate_markers · annotate_legend · annotate_dimension_layout · annotate_dimension · annotate_angle_layout · annotate_angle

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

annotate_outline_layout — ANNOTATE paper op