'paidf' 검색 결과

Audit and prepare a GPU Kubernetes cluster for PAIDF Orchestration. Check available GPU capacity, deploy the Airflow workflow controller, choose external or in-cluster model services, and report whether the environment is ready for workflow execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a new GPU cluster before running workflows
• Deploying the Airflow controller
• Choosing external or in-cluster model services

Generate videos from DEFT media samples using PAIDF Cosmos Predict. Prepare configuration, run generation in Docker, avoid repeated processing of duplicate media paths, and produce JSONL records linking each original sample ID to successful or missing video outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating synthetic videos for DEFT media samples
• Avoiding repeated generation for duplicate media paths
• Passing generated video mappings to downstream workflows

Build custom Kubernetes Airflow workflows for PAIDF Orchestration by combining existing processing stages. Produces workflow code, deployment manifests, input validation models, and connecting code, then checks stage connections and model, container, and prompt choices against supplied specifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a workflow that runs augmentation without full auto-labeling
• Combine detection and captioning into a custom processing chain
• Check model, container, and prompt choices against an external spec

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create videos of anomalous events, such as falls or fires, from seed images using Cosmos3. Run a Kubernetes workflow that generates clips, automatically labels them, and builds an anomaly dataset, with progress monitoring and result retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate fall or fire clips from seed images
• Build synthetic datasets for safety and surveillance
• Automatically label generated event videos