# Vss Generate Video Calibration

Use this skill when running or tuning AutoMagicCalib on local MP4s, RTSP, or the...

- Repository: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization (1959 stars)
- Category: Data and ML
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-calibration -g -a claude-code -y`
Codex: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-calibration -g -a codex -y`
Cursor: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-calibration -g -a cursor -y`
Gemini CLI: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-calibration -g -a gemini-cli -y`

## Description

Use this skill when running or tuning AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, or when deploying vss-auto-calibration. Do not use for non-AMC calibration or runtime analytics.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# VSS Generate Video Calibration

Run AutoMagicCalib over one of three input sources and drive the calibration through the microservice REST API. For normal single-run calibration, input-resolution work differs per source and shared work from `verify_project` onward lives in this file. Pair selected input-mode reference with [Shared Calibration Tail](#shared-calibration-tail); explicit tuning uses its own routed workflow below.

## When to Use This Skill

Run or tune AutoMagicCalib end-to-end on local files, RTSP streams, or the bundled sample dataset and (when needed) deploy the AMC microservice.

Do not use for non-AMC camera calibration or runtime analytics.

## Workflow

Resolve tuning intent before input mode, then follow the applicable routing table and workflow 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/`; load only the references needed for the selected intent and input mode.

## 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.

The rest: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/blob/HEAD/skills/tools/vss-generate-video-calibration/SKILL.md