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diagnose-alignment

Diagnose Metashape project alignment quality via camera, tie point, and calibration metrics.

31|4|Updated Feb 21, 2026
Search Tags:#diagnostics#calibration#alignment#diagnose#metashape#photogrammetry
One-click install
npx skills add https://github.com/jenkinsm13/metashape-mcp --skill diagnose-alignment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: diagnose-alignment
Source: https://github.com/jenkinsm13/metashape-mcp/tree/main/skills/diagnose-alignment
Command: npx skills add https://github.com/jenkinsm13/metashape-mcp --skill diagnose-alignment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the assessment of camera alignment, tie point density, reprojection accuracy, and sensor calibration to identify issues in a Metashape project.

Core Features & Use Cases

  • Alignment health diagnostics: reports alignment rate and unaligned cameras to guide reprocessing.
  • Tie point and calibration checks: evaluates point density and sensor parameters to surface potential problems.
  • Actionable fixes: provides step-by-step recommendations and parameter presets to improve alignment results.

Quick Start

Run diagnose-alignment on the active Metashape project to receive a diagnostic report and fixes.

Frequently Asked Questions about diagnose-alignment

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

FAQPage Schema
How do I diagnose camera alignment quality in a Metashape project?▼

Diagnosing camera alignment quality in Metashape involves evaluating camera alignment rate, tie point density, reprojection error, and sensor calibration to identify issues and apply actionable fixes.

What causes unaligned cameras or poor tie point density in Metashape?▼

Unaligned cameras and poor tie point density in Metashape stem from insufficient image overlap, low reprojection accuracy, or incorrect sensor calibration parameters during the photogrammetry alignment process.

How do I check and fix sensor calibration for Metashape photogrammetry?▼

Checking and fixing sensor calibration in Metashape requires listing sensors and evaluating calibration parameters against spatial statistics, then applying recommended parameter presets to improve alignment results.

Does this alignment diagnostics approach work with projects with varying image overlap?▼

Yes, this alignment diagnostics approach applies to Metashape projects with varying numbers of cameras and image overlap, providing actionable fixes and recommended tool calls to improve results.

What is the best way to improve reprojection error in Metashape alignment?▼

The best way to improve reprojection error in Metashape alignment is to run health diagnostics to fetch statistics, evaluate sensor parameters, and apply step-by-step parameter presets for reprocessing.

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