Physical Ai Event Video Generation
NVIDIA/paidf-orchestration/skills/physical-ai-event-video-generation
codingOfficial
Official Provider SkillView repo
Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Cosmos3 image2video, anomaly dataset creation, safety/surveillance SDG, or generating person-falling, person-climbing, person-running, fighting, smoking/vaping, fire/smoke, or shoplifting video clips from a seed image. Runs environment setup fir
Files15 files
BENCHMARK.md113 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorycoding
Skill IDNVIDIA/paidf-orchestration/skills/physical-ai-event-video-generation
Files15 files
Related skills
Paidf Orchestration SetupAudit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. Select for requests to set up, install, deploy, configure, or check a PAIDF Orchestration environment; run a workflow on a new or unverified GPU host; connect via kubeconfig; validate GPU compute; deploy the Airflow controller; or choose external versus in-cluster model services. A plain SSH host is not a supported backend.Paidf Orchestration Write DagUse when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a PAIDF `launchable.md`).Physical Ai Image Attribute AugmentationRun 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.Nemoclaw Contributor Create PrPublish or update a NemoClaw pull request and follow its CI and automated reviews to completion.Nemoclaw Contributor Implement IssueImplement an accepted NemoClaw issue or repair a classified PR finding, with focused validation. Use for requested code or test changes.Nemoclaw Contributor OnboardSet up, repair, or check a NemoClaw contributor checkout. Also handles requested development CLI exposure, runtime onboarding, and pinned-agent launch.