paper 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.annotate_figure_grid_layout(shapes, ncols=2, pad=10, caption_h=32, title_h=0, letter_style='paren') (to call the implementation directly, import annotate; annotate.annotate_figure_grid_layout(shapes, ncols=2, pad=10, caption_h=32, title_h=0, letter_style='paren'); from the registry, opsannotate.get("annotate_figure_grid_layout"))
Returns a table (dict): the typesetting of a multi-panel figure (cell, panel and caption-band rectangles) in closed form.
The same formulas as panel_grid: cw/ch is the largest panel size, W = 2*pad + ncols*cw + (ncols-1)*pad, H = title_h + 2*pad + nrows*(ch+caption_h) + (nrows-1)*pad. Panels are not enlarged; they are centred in their cells.
dict
{"size":(H,W), "cells":[(x,y,cw,ch)], "panels":[(x,y,w,h)], "captions":[(x,y,cw,caption_h)], "letters":[str], "ncols", "nrows"}.
ValueError
shapes is empty, ncols < 1, negative padding, or more than 26 panels.
• figure_annotation family guide
• dataset_conventions — Training-dataset conventions — COCO / YOLO / VOC and pitfalls in visual inspection
• 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.
• paper_figure — py -3.11 examples/paper_figure.py
table as input)—
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.