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physical-ai-image-attribute-augmentation

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Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re-identification data, clothing augmentation, attribute captions, augmentation payloads, run status, or result retrieval. Runs environment setup first when controller readiness is unknown. Not for video or defect-image generation.

When to use

• **Controller pods** — check that the Airflow controller pods (not DAG task pods) are Running.
• **Airflow API** — reachable only if check 1 passes. First establish `AIRFLOW_URL` from the
• **Pools** — only if check 2 passes. Required pools with open slots: `k8s_gpu_1`,
• **Compute-cluster GPUs** — check the cluster (using the cluster connection established above):
• **Stale failed pods** — before triggering, check for accumulated failed pods in the compute

When not to use

• video generation
• defect-image generation

Skill page

Source