pegsim op• Data kinds: image2d × image2d × image2d → matrix
• Call: import fullseye as fs; fs.ledger.coverage_edge_points(gray, inside, outside, min_contrast: 'float' = 25.0, exclude=None) -> 'np.ndarray' (to call the implementation directly, import pegsim; pegsim.coverage_edge_points(gray, inside, outside, min_contrast: 'float' = 25.0, exclude=None) -> 'np.ndarray'; from the registry, opsdrive.get("coverage_edge_points"))
Returns subpixel edge points (u, v) from the brightness (coverage) of an anti-aliased boundary: for a pair where pixel p is on the inside side and the pixel 2 steps ahead is outside, edge position = (−0.5 + f_p + f_q) pixels from p (f = inside coverage of that pixel = (I − I_out) / (I_in − I_out)).
All pairs along the 4 axis directions (up, down, left, right) are used. inside / outside are bool masks (same shape), gray is brightness (float). Pairs below min_contrast are discarded, as are pairs touching the exclude mask. Returns (N, 2) (u, v) (column, row). Raises ValueError: shapes differ, no pairs at all.
• 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.
• gallery_drive_peg — py -3.11 examples/gallery_drive_peg.py
matrix as input)world_camera · lidar_scan · relative_motion · foe_from_motion · flow_from_depth_motion · ttc_truth · world_materials · mesh_signed_volume
pegsim)peg_params · whitney_clearance · two_point_depth · wedging_check · jamming_diagram · chamfer_capture · contact_state_predict · circle_fit_known_radius
*Provenance: pegsim.py — DRIVE 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.