annotate_figure_grid — ANNOTATE paper op

Data kinds: imagesimage2d

Call: import annotate; annotate.annotate_figure_grid(panels, captions=None, ncols=2, pad=10, caption_h=32, letters=True, letter_style='paren', title=None, font_size=14, min_font_size=9, background=1.0, border=1, border_color='neutral', text_color=None, scheme='okabe_ito', font_path=None) (or opsannotate.get("annotate_figure_grid"))

Usage

Returns an image (image2d): images plus captions laid out as one figure (constant margins, panel letters).

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

見出しは `"(a) caption"(letters=True)。白地(background=1.0`)が既定

なので文字は自動で暗色になる(:func:text_box のコントラスト規則)。

幾何は :func:annotate_figure_grid_layout(`title があるときの title_h`

は :func:measure_text から同じ式で決まる)。

Raises

------

ValueError

panels が空、captions の数不一致、見出しが帯に収まらない、26 枚超。

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_figurepy -3.11 examples/paper_figure.py

Ops the type connects to (they accept image2d as input)

text_box · arrow · leader_line · label_points · crosshair · legend_box · color_bar · scale_bar

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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.