kendamaworld op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.kendama_rig(kp: 'dict' = None, *, n: 'int' = 2, distance: 'float' = 1.5, height: 'float' = 1.05, fov_deg: 'float' = 45.0, width: 'int' = 480, height_px: 'int' = 360, target=(0.0, 0.0, 1.0)) -> 'list' (to call the implementation directly, import kendamaworld; kendamaworld.kendama_rig(kp: 'dict' = None, *, n: 'int' = 2, distance: 'float' = 1.5, height: 'float' = 1.05, fov_deg: 'float' = 45.0, width: 'int' = 480, height_px: 'int' = 360, target=(0.0, 0.0, 1.0)) -> 'list'; from the registry, opsdrive.get("kendama_rig"))
Set of cameras viewing the swing-up space (x, y ∈ ±0.4 m, z ∈ 0.55 to 1.45 m: hand 1.0 m, string 0.42 m, lift 0.265 m). n = 2: azimuth 0° and 90°; n = 4: every 90°. All look at target (default (0, 0, 1.0)). Returns [{"pose", "K", "eye", "width", "height"}, …] (same form as ballworld.camera_rig).
• 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.
• poc_kendama — py -3.11 examples/poc_kendama.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
kendamaworld)ken_mesh · add_ken · ken_set_pose · string_mesh · add_string · string_set · kendama_world · ken_truth
*Provenance: kendamaworld.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.