amc-run-video-calibration

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Calibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API. Use when user has local MP4s and says 'calibrate my videos', 'run AMC on these videos', or similar. For RTSP/live streams, use amc-run-rtsp-calibration instead.

AI & Automation 3,042 stars 352 forks Updated today Apache-2.0

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Skill Content

# Skill: Calibrate from Video Files ## When to Use This Skill Activate this skill when the user has pre-recorded MP4 files and wants to calibrate them via the AMC REST API. Typical prompts: - "calibrate my videos" / "run AMC on these videos" - "calibrate from video files" Drives calibration through the REST API on user-supplied **pre-recorded MP4 files** — no CLI scripts or Docker bind-mounts required, just a running microservice and your files. Do not use this skill for live RTSP streams or `rtsp://...` URLs; route those requests to `skills/amc-run-rtsp-calibration/SKILL.md`. ## Prerequisites - [ ] AMC microservice **and** UI running (follow `skills/amc-setup-calibration-stack/SKILL.md`) - [ ] You know the microservice URL (e.g. `http://<HOST_IP>:<MS_PORT>`) and UI URL - [ ] Video files locally as `cam_00.mp4`, `cam_01.mp4`, … time-synchronized, ~1920×1080 - [ ] Python 3 with `requests` ## Data Privacy Video files uploaded via this skill are transmitted to the AutoMagicCalib backend (REST endpoint). Only use this skill when the backend is deployed on a trusted platform / network. ## What to Ask the User ### Required (Video-file naming and the microservice URL are specified under Prerequisites above — collect the inputs below.) 1. **Videos directory** — the folder the skill globs for `cam_*.mp4`, uploaded sorted alphabetically. 2. **Microservice URL** 3. **Project name** — short descriptive string ### Auto-Detected (ask only if not found) The script searches the ...

Details

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

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