carla_scene_check — DRIVE carla op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.carla_scene_check(scene) -> 'dict' (to call the implementation directly, import carlabridge; carlabridge.carla_scene_check(scene) -> 'dict'; from the registry, opsdrive.get("carla_scene_check"))

Usage

Checks the keys, shapes and dtypes of a scene record and returns a summary (ValueError if it does not pass). Return value = {"width", "height", "has_lead", "has_instance", "meta"(dict), "n_tags"}.

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)

• (none yet)

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 (carla)

carla_labels · carla_label_map · carla_label_unmap · carla_depth_decode · carla_depth_encode · carla_intrinsics · intrinsics_to_fullseye · intrinsics_to_carla

*Provenance: carlabridge.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.