paper op• Data kinds: image2d → image2d
• Call: import fullseye as fs; fs.ledger.annotate_leader(img, points, labels=None, color='emphasis', width=1.5, cap_size=3.0, font_size=12, pad=4, gap=22, side='auto', box_alpha=0.72, text_color=None, scheme='okabe_ito', font_path=None, min_font_size=9, layout=None) (to call the implementation directly, import annotate; annotate.annotate_leader(img, points, labels=None, color='emphasis', width=1.5, cap_size=3.0, font_size=12, pad=4, gap=22, side='auto', box_alpha=0.72, text_color=None, scheme='okabe_ito', font_path=None, min_font_size=9, layout=None); from the registry, opsannotate.get("annotate_leader"))
• GPU: yes (mechanical GPU path from the allow-list, CuPy). device="auto" chooses the GPU from the measured size (4,194,304 pixels) up
Returns an image (image2d): an elbowed leader line plus text (collision-avoiding across several points).
The layout is determined by annotate_leader_layout (it can be reused by passing it to layout=). Lines are anti-aliased, dots at the target end, and text is text_box.
ValueError
Same as annotate_leader_layout + non-positive thickness, negative cap_size. A cap_size of 0 means no tip.
• 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
image2d as input)text_box · arrow · leader_line · label_points · crosshair · legend_box · color_bar · scale_bar
paper)annotate_leader_layout · annotate_markers · annotate_legend · annotate_dimension_layout · annotate_dimension · annotate_angle_layout · annotate_angle · annotate_scale_bar_layout
*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.