carla_label_unmap — DRIVE `carla` op

• Data kinds: image2d → image2d

• Call: import fullseye as fs; fs.ledger.carla_label_unmap(label) -> 'np.ndarray' (to call the implementation directly, import carlabridge; carlabridge.carla_label_unmap(label) -> 'np.ndarray'; from the registry, opsdrive.get("carla_label_unmap"))

Usage

Fullseye label image → CARLA tag image (uint8, representative tag). Inverse of carla_label_map (identity on the label side).

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_carla_bridge — py -3.11 examples/poc_carla_bridge.py

Ops the type connects to (they accept `image2d` as input)

flow_from_depth_motion · ttc_truth · ttc_from_flow · foe_from_flow · perlin2 · fbm_height · fbm_gradient · radial_periodogram

Same category (`carla`)

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

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

carla_label_unmap — DRIVE carla op