diabolo_camera — DRIVE `diabolo` op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.diabolo_camera(*, position=(1.4, 0.0, 0.75), look_at=(0.0, 0.0, 0.75), shape=(480, 640), fovy_deg: 'float' = 30.0) -> 'dict' (to call the implementation directly, import diabolo; diabolo.diabolo_camera(*, position=(1.4, 0.0, 0.75), look_at=(0.0, 0.0, 0.75), shape=(480, 640), fovy_deg: 'float' = 30.0) -> 'dict'; from the registry, opsdrive.get("diabolo_camera"))

Usage

Perspective camera (default = looking along −x from 1.4 m in front, world z up). Returns {"C", "R"(rows = right, down, forward), "K", "shape", "look_at"}. Raises ValueError: position and look-at point coincide, vertical line of sight, invalid image size or field of view.

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_diabolo_model_and_vision — py -3.11 examples/poc_diabolo_model_and_vision.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 (`diabolo`)

diabolo_params · diabolo_spheroid · spheroid_closest · diabolo_dynamics_step · diabolo_simulate · diabolo_state_sequence · diabolo_throw_catch_truth · string_tension_static

*Provenance: diabolo.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

diabolo_camera — DRIVE diabolo op