lvc-test

Run the Live Video Captioning unit test suite (pytest in app/). Use when asked to test, verify, or check coverage of backend changes.

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Repository: open-edge-platform/edge-ai-suites
Last source activity: July 7, 2026 at 03:41
Detected SKILL.md language: English
Stars: 127
Forks: 155

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Build an end-to-end, vertical-agnostic computer-vision analytics stack on Intel hardware from a single streamlined Docker Compose deployment: DL Streamer Pipeline Server plus MediaMTX/WebRTC, Coturn, Mosquitto, Node-RED, Grafana, and Nginx. It streams live annotated video over WebRTC and flows detection metadata DLSPS->MQTT->Node-RED->Grafana, with an optional SceneScape multi-camera spatial-analysis path. USE FOR standing up an object-detection, classification, counting, or zone-alerting pipeline for any vertical (smart city/ITS, retail, industrial, logistics, healthcare, or a custom OpenVINO/ONNX model) where only the model, class filter, alert rule, and dashboard change. Also USE FOR a lightweight **demo/PoC** single application (no full stack) — a simple DL Streamer pipeline (via the `dlstreamer-coding-agent` skill) or a simple OpenVINO inference app (guided by the OpenVINO 2026 docs) selected via the mode question. DO NOT USE FOR non-Intel or cloud-only deployments, Prometheus/OpenTelemetry metrics stack

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Configure real-time Smart Community monitor alerts for a specified OpenClaw agent. Use when a user asks to bind, route, subscribe, or push one monitor's alerts to an agent session. Requires an agent ID and monitor ID, and always targets session agent:{agent-id}:{monitor-id}.

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lvc-test

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Test Live Video Captioning

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Test Live Video Captioning

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name	lvc-test
description	Run the Live Video Captioning unit test suite (pytest in app/). Use when asked to test, verify, or check coverage of backend changes.

lvc-test

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Review the source files

More from this repository

More from this repository

Test Live Video Captioning

Mandatory

Test Live Video Captioning

Mandatory