Physical Ai Image Attribute Augmentation
NVIDIA/paidf-orchestration/skills/physical-ai-image-attribute-augmentation
devopsOfficial
Official Provider SkillView repo
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.
Files16 files
BENCHMARK.md113 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the archive and add the files to your project manually.
Skill details
Versionv1.0.0
AuthorNVIDIA
Categorydevops
Skill IDNVIDIA/paidf-orchestration/skills/physical-ai-image-attribute-augmentation
Files16 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 Event Video GenerationRun 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 firNemoclaw Maintainer Cut Release TagPrepare and cut one signed NemoClaw semver release tag, then follow release workflows and draft the Announcement.Nemoclaw Maintainer DayRun a NemoClaw daytime maintainer pass over release-targeted work. Use for the maintainer queue or a requested recurring pass.Nemoclaw Maintainer EveningComplete the NemoClaw end-of-day documentation and release handoff. Cut a release tag only when requested.