Vss Deploy Detection Tracking 2d
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST...
Install
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-deploy-detection-tracking-2d -g -a claude-code -y- Category
- Testing
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics, use the matching vss-* skill.
Purpose
Deploy, debug, and operate the RTVI-CV detection / tracking 2D microservice and drive its REST API.
When to Use
- Deploy, tear down, or debug the RTVI-CV 2D microservice ("deploy rtvi-cv", "start warehouse 2d", "stop the perception container", "rtvi-cv won't start")
- Manage streams or call the RTVI-CV REST API on an already-running instance (add/remove/list streams, health checks, metrics, embeddings)
Not for VLM, embedding, or analytics, use the matching vss-* skill.
Prerequisites
- Active VSS deployment reachable on
$HOST_IP(seevss-build-vision-aiandreferences/). - NGC credentials in
$NGC_CLI_API_KEYand$NVIDIA_API_KEYfor any image pulls. curl,jq, and Docker available on the caller.
Instructions
Follow the routing tables and step-by-step workflows below. Each section that ends in workflow, quick start, or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ and helper scripts live in scripts/, call them via run_script when the skill points to a script by name.
Examples
Worked end-to-end examples are kept under evals/ (each *.json manifest contains a runnable scenario) and inline in the per-workflow curl blocks below. Run a Tier-3 evaluation with nv-base validate <this-skill-dir> --agent-eval to replay them.
Limitations
- Requires the matching VSS profile / microservice to be deployed and reachable from the caller.
- NGC-hosted models and NIMs may be subject to rate-limits, GPU memory requirements, and license restrictions.
- Concurrency, GPU memory, and storage limits depend on the host hardware and the profile's compose file.
