humanoid op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.humanoid_impostors(clip: 'dict', *, n_yaw: 'int' = 16, n_phase: 'int' = 12, res: 'int' = 128, distance: 'float' = 30.0, light=(0.3, -0.5, 0.8), ambient: 'float' = 0.35) -> 'dict' (to call the implementation directly, import drivehumanoid; drivehumanoid.humanoid_impostors(clip: 'dict', *, n_yaw: 'int' = 16, n_phase: 'int' = 12, res: 'int' = 128, distance: 'float' = 30.0, light=(0.3, -0.5, 0.8), ambient: 'float' = 0.35) -> 'dict'; from the registry, opsdrive.get("humanoid_impostors"))
Pre-renders the clip (humanoid_walk_clip) from the views of n_yaw azimuths × n_phase phases.
> The detailed description below is the original text — the summary and the headings are translated.
方位 b = 体から見たカメラの向き 2πb / n_yaw(0 = 正面 +x から見る)。カメラは体の高さの中ほどの高さから水平に、距離 distance で見る(ほぼ平行投影)。色は driveworld.world_camera と同じ Lambert(光はカメラ系)。
Returns:
{"color" (n_yaw, n_phase, res, res, 3) uint8, "mask" (...) bool, "dz" (...) float16 (画素の深度 − distance [m]), "f" (事前描画の焦点距離 [px]), "distance", "eye_h" [m], "res", "n_yaw", "n_phase", "cycle_length", "dims", "phase_s" (各位相の歩いた距離 [m])}。
• 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_driving_humanoids — py -3.11 examples/poc_driving_humanoids.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
humanoid)humanoid_clip_mesh · world_pose_humanoid · world_camera_impostors
*Provenance: drivehumanoid.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.