amc-run-sample-calibration

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Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.

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Skill Content

# Skill: Calibrate Sample Dataset ## When to Use This Skill Activate this skill when the user wants to sanity-check a running AMC stack with the bundled sample dataset. Typical prompts: - "test the sample dataset" / "run sample calibration" - "verify AMC install" - "launch and test" (chain with `amc-setup-calibration-stack` if the MS isn't already running) **Do NOT use this skill when:** - The user references their own video paths (e.g. `/data/videos/`, `cam_*.mp4` not from the bundled zip) — route to `amc-run-video-calibration`. - The user provides live RTSP streams or `rtsp://...` URLs — route to `amc-run-rtsp-calibration`. - This skill is exclusively for `assets/sdg_08_2_sample_data_010926.zip`. Prerequisite: AMC microservice running on a port in 8000-8009. If no backend is detected, delegate to `amc-setup-calibration-stack` first. If execution cannot proceed in the current environment (no backend, missing sample data, etc.), surface the blocker AND describe the expected workflow + API sequence concisely so the user understands what will run once prerequisites are met. Do not fabricate calibration outputs, evaluation metrics, or trajectories. ## Overview Run a full calibration on the bundled sample dataset (`sdg_08_2_sample_data_010926.zip`, 4 synthetic warehouse cameras with ground truth) against a running AutoMagicCalib microservice. Useful for verifying that a freshly-launched stack works end-to-end before throwing real data at it. The sample includes GT, so t...

Details

Author
NVIDIA
Repository
NVIDIA/skills
Created
5 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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