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amc-run-video-calibration

Automate multi-view camera calibration for MP4 datasets via AutoMagicCalib REST API.

Updated Nov 21, 2025
Search Tags:#automation#video#calibration#camera#rest-api#deepstream
One-click install
npx skills add https://github.com/olibartfast/deep-infer --skill amc-run-video-calibration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: amc-run-video-calibration
Source: https://github.com/olibartfast/deep-infer/tree/main/skills/amc-run-video-calibration
Command: npx skills add https://github.com/olibartfast/deep-infer --skill amc-run-video-calibration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

This skill automates the complex, multi-step process of calibrating camera arrays from pre-recorded video files, eliminating the need for manual CLI interaction or complex environment configuration.

Core Features & Use Cases

  • Automated Calibration Pipeline: Orchestrates the entire AutoMagicCalib REST API workflow, from project creation and video upload to final calibration.
  • Intelligent Resolution: Automatically detects configuration files, alignment data, and layout images within your project directory.
  • Use Case: Use this skill when you have a set of synchronized MP4 files from a multi-camera setup and need to generate precise camera parameters for 3D tracking or analytics without manually navigating the calibration UI.

Quick Start

Use the amc-run-video-calibration skill to calibrate the cameras using the video files located in the data videos directory.

Frequently Asked Questions about amc-run-video-calibration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate camera calibration from multi-view MP4 video files?▼

Automate camera calibration by orchestrating the AutoMagicCalib REST API workflow, which handles project creation, video upload, and final calibration execution for pre-recorded MP4 datasets.

What do I need to run automated video camera calibration for my multi-camera setup?▼

Automated video camera calibration requires a running AutoMagicCalib microservice, synchronized MP4 files, and specific directory naming conventions to properly align multi-view camera data.

Can I calibrate a camera array without manually navigating the calibration UI?▼

Yes, you can bypass manual UI interaction by using an automated calibration pipeline that detects configuration files, alignment data, and layout images directly within your project directory.

How does automated file resolution work for multi-view camera calibration datasets?▼

Automated file resolution for camera calibration works by intelligently detecting configuration files, alignment data, and layout images within your project directory to streamline the REST API workflow.

When do I need to use an automated REST API pipeline for camera calibration?▼

Use an automated REST API pipeline for camera calibration when you have synchronized MP4 files from a multi-camera setup and need precise camera parameters for 3D tracking or analytics.

Are there limitations when using AutoMagicCalib for video-based camera calibration?▼

AutoMagicCalib video calibration requires strict directory naming conventions for camera synchronization and supports pre-recorded MP4 footage, meaning live camera feeds are not processed by this workflow.

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