
Vss Deploy Detection Tracking 2d
Deploys and operates NVIDIA's RTVI-CV 2D detection and tracking microservice, the perception layer of the Video Search and Summarization blueprint. You get two workflows in one: stand up the Docker container with the right NGC credentials and GPU config, or drive the REST API on a running instance to add streams, check health, pull metrics, and manage embeddings. Routes by intent (deploy vs. call) and includes 23 helper scripts plus platform detection for x86 dGPU, SBSA, and Jetson. If you're building warehouse or smart city CV pipelines on Metropolis and need programmatic container lifecycle plus API control, this handles both sides.
- skills.sh installs
- 1.8K
- GitHub stars
- 3.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nvidia/skills --skill vss-deploy-detection-tracking-2d --agent claude-codeInstalls into .claude/skills of the current project.
Files
Deploys and operates NVIDIA's RTVI-CV 2D detection and tracking microservice, the perception layer of the Video Search and Summarization blueprint. You get two workflows in one: stand up the Docker container with the right NGC credentials and GPU config, or drive the REST API on a running instance to add streams, check health, pull metrics, and manage embeddings. Routes by intent (deploy vs. call) and includes 23 helper scripts plus platform detection for x86 dGPU, SBSA, and Jetson. If you're building warehouse or smart city CV pipelines on Metropolis and need programmatic container lifecycle plus API control, this handles both sides.
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Details
- Repository
- github.com/nvidia/skills
- Categories
- Backend & APIs, DevOps & CI/CD, AI & Agent Building, Data Science & ML, Release Management, Debugging, Marketing & SEO
- First seen
- Jul 14, 2026
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