walkterrain op• Data kinds: depth → image2d
• Call: import fullseye as fs; fs.ledger.foothold_score(grid, cell: 'float' = 0.05, window: 'int' = 3) (to call the implementation directly, import terrain; terrain.foothold_score(grid, cell: 'float' = 0.05, window: 'int' = 3); from the registry, opsdrive.get("foothold_score"))
• GPU: none (CPU reference implementation only)
Per-cell flatness score in [0, 1] (1 = flat & level = good foothold).
Combines local roughness (height std) and slope into a single score; useful to rank candidate step locations for a legged robot.
• 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.
• walking_ops_tour — py -3.11 examples/walking_ops_tour.py
image2d as input)flow_from_depth_motion · ttc_truth · ttc_from_flow · foe_from_flow · perlin2 · fbm_height · fbm_gradient · radial_periodogram
walkterrain)elevation_map · fill_gaps · elevation_traversability · ground_surface · ground_plane · detect_obstacles · fuse_elevation · roughness_map
*Provenance: terrain.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.