camera_world_to_cv — DRIVE `pegsim` op

• Data kinds: matrix → table

• Call: import fullseye as fs; fs.ledger.camera_world_to_cv(cam_xmat, cam_xpos) -> 'dict' (to call the implementation directly, import pegsim; pegsim.camera_world_to_cv(cam_xmat, cam_xpos) -> 'dict'; from the registry, opsdrive.get("camera_world_to_cv"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

MuJoCo のカメラ姿勢(`d.cam_xmat 3×3 = 世界でのカメラ軸、d.cam_xpos`)を OpenCV / Fullseye の外部パラメータに:

X_cv = R X_w + t、R = diag(1, −1, −1) Rwcᵀ、t = −R p(MuJoCo は −Z を見て +Y が上、OpenCV は +Z 前で +Y 下)。

返り: `R(3×3)、t(3,)、R_cam_to_world = Rᵀ。numpy だけ(mujoco 不要)。**Raises** ValueError`: 形が違う、R が回転でない。

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• poc_pegsim_insertion — py -3.11 examples/poc_pegsim_insertion.py

Ops the type connects to (they accept `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`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).*

camera_world_to_cv — DRIVE pegsim op