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…benefits description
…olor checker constants
…l output details; add pre-commit to dependencies
…nomial, and least squares regression; - add preprocessing and postprocessing utilities
… in pyproject.toml
…wargs support; update image display to RGB format
…update reference image patch generation
…rid image patches
…rid image patches
…lities for image patches
…g and mean color calculation
…evelopment, build, and testing updates
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📝 Description
This PR introduces significant enhancements to the color correction package, focusing on improved accuracy and user experience. Added multiple correction models (polynomial, linear, affine) alongside the existing least squares approach, providing more flexibility for different use cases. Enhanced visualization capabilities help users better understand the correction process.
🔄 Key Changes
🧪 Testing
📋 Notes
This update moves the package from alpha to beta status, reflecting the increased stability and feature completeness. Users should review the updated documentation for new features and improved usage patterns.
📸 Docs