Agent skill · nvidia
tao-run-deft-od-aoi
Run a binary industrial-inspection DEFT loop with TAO RT-DETR: measure on frozen KPI/test roles, mine gap-similar real and clean images with SigLIP, accumulate admitted COCO data, retrain from one base checkpoint, and select by KPI AP50. Use for iterative AOI defect detection, not generic multiclass OD.
What it needs
About 9k tokens when loaded.
What this skill does
TAO DEFT OD AOI Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery). This application is a disk-backed RT-DETR loop for one foreground class, defect. Its core is real-data-only; AnomalyGenNext synthesis is an optional route with separate preparation, generation, and admission gates. References Read only the references needed for the current stage: intake and launch: references/defaults.md, references/data-contract.md, references/source-manifest.md, and references/preflight.md; orchestration: references/pipeline.md and references/scripts-and-agents.md; gaps and retrieval: references/gap-routing.md and references/tao-analyze-gaps-od-map.md; training and selection: references/training-policy.md; optional synthesis: references/anomalygen-pool.md. Start Select an installed platform, read its skill, then invoke tao-launch-workflow. The single launch review must include the four normalized COCO roles, trainable RT-DETR base checkpoint, maximum iterations, image and Data Services containers, GPU shape, and expected runtime. After approval, prepare source COCO files when needed: --check-only runs without a container. Materialization must run in the pinned TAO Data Services image because it delegates each role's canonical COCO merge to the existing annotations merge action. The application then validates the merged role contracts before emitting sources.json. Include --gpus when launching the materialization container, as documented in references/source-manifest.md. The user-facing manifest calls the held-out input benchmark. The second command maps it to the existing internal kpi role and emits sources.json with the canonical kpi, test, real, and clean mapping. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/tao-run-deft-od-aoi