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name: camera-and-segmentation description: "Guides Waymo Open Dataset camera custom ops, camera-only detection, PVPS, semantic segmentation, E2E driving data, and optional Deeplab2 camera segmentation workflows." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Camera and Segmentation

Use this sub-skill for WOD camera model/custom ops, camera-only 3D detection, 2D panoramic video panoptic segmentation (PVPS), 3D semantic segmentation, camera segmentation metrics, E2E driving data/submission protos, WDL-limited camera code, and deeplab2/compiled-op troubleshooting.

Read:

• references/api-reference.md for camera/segmentation utility surfaces and optional dependency status.
• references/workflows.md for camera-only detection, PVPS, semantic segmentation, and E2E driving outlines.
• references/data-formats.md for camera, segmentation, and E2E proto expectations.
• references/troubleshooting.md for Deeplab2, WDL-limited licenses, camera names, custom op imports, and dataset prerequisites.

Run scripts/check_camera_segmentation_imports.py to report camera op and Deeplab2 availability.

Route v1 camera image extraction to dataset-utils, V2 camera Parquet components to v2-components, and generic metric wrapper mechanics to metrics-evaluation.