v0.0.1-rc6

Merge pull request #15 from agfianf/claude/code-quality-review-011CUR…

v0.0.1-rc5

Update Docs

v0.0.1-rc4

Release Candidate with MCCardDetector and Segmentation Support

This release introduces the MCCardDetector for improved color checker card detection, adds segmentation support, and includes minor fixes and dependency updates.

Added

• Implemented MCCardDetector class in color_correction/core/card_detection/mcc_det.py for detecting color checker cards and patches using OpenCV's mcc module.
• Added segmentation support to handle quadrilateral regions via SegmentPoint type and updated DetectionResult schema to include segment field.
• Introduced crop_segment_straighten utility in image_processing.py to straighten and crop quadrilateral regions using perspective transformation.
• Extended DetectionProcessor to process both bounding box and segmentation-based detection results.
• Added draw_segmentation function in yolo_utils.py to visualize segmentation polygons on images.
• Updated ColorCorrection service to support both YOLOv8CardDetector and MCCardDetector based on model name (yolov8 or mcc).

Changed

• Bumped version to 0.0.1-rc4 in __init__.py and pyproject.toml.
• Updated DetectionProcessor.extract_color_patches to handle segmentation results alongside bounding boxes.
• Modified ColorCorrectionAnalyzer to use set_reference_patches instead of set_reference_image for consistency.
• Adjusted dependency versions in pyproject.toml for compatibility:
  • pydantic>=2.10.6
  • pydantic-settings>=2.8.1
  • shapely>=2.0.7
  • matplotlib>=3.10.1
  • onnx==1.17.0
  • onnxruntime==1.20.1
  • pandas==2.2.3
  • opencv-contrib-python>=4.11.0.86
  • Dev dependencies: pytest==8.3.5, ruff==0.11.2, pre-commit==4.2.0, ultralytics==8.3.96
• Changed ruff line-length to 120 in pyproject.toml for better code formatting flexibility.

Fixed

• Ensured DetectionResult schema compatibility with both bounding box and segmentation outputs by making boxes and segment optional.
• Added debug logging in ColorCorrection to track grid image shapes during color difference calculations.

What's Changed

• Feat/fixing reference image setting by @agfianf in #12

Full Changelog: v0.0.1-rc3...v0.0.1-rc4

v0.0.1-rc3

What's Changed

• Docs/service color correction by @agfianf in #11

Full Changelog: v0.0.1-rc2...v0.0.1-rc3

v0.0.1-rc2

What's Changed

• Docs/processor by @agfianf in #10

Full Changelog: v0.0.1-rc1...v0.0.1-rc2

v0.0.1-rc1

Release Candidate with Full Feature Set and Documentation

• Add docs page build with mkdocs-material. Read more https://agfianf.github.io/color-correction/
• Complete docstrings for all classes and methods

What's Changed

• Feat/docs by @agfianf in #8
• Docs/complete docstring by @agfianf in #9

Full Changelog: v0.0.1b3...v0.0.1-rc1

v0.0.1b3

Add Analyzer Report and Bug Fixes

🚀 Features

• Added comprehensive reporting functionality for color correction results
  • New ColorCorrectionAnalyzer class for benchmarking different correction methods
  • HTML report generation with interactive sorting and PDF export
  • Visual comparison of before/after color patches
  • Detailed ΔE metrics for patches and full images
• Enhanced image processing utilities
  • Added base64 image conversion support
  • Improved color difference calculation with rounded metrics
• Added HTML report generation templates and styling
  • Responsive design with Plus Jakarta Sans font
  • Interactive table sorting
  • PDF export functionality
  • Detailed column descriptions

📝 Documentation

• Added new Analyzer section in README
  • Example usage code for ColorCorrectionAnalyzer
  • Sample benchmark output visualization
• Updated version to 0.0.1b3

🔧 Technical Changes

• Renamed benchmark class to report for better clarity
• Added new utility modules:
  • formater.py for value formatting
  • report_generator.py for HTML generation
  • Added new constants and method definitions

Fix Naming Package

Merge pull request #6 from agfianf/fix/naming-package

Fix/naming package

v0.0.1b1

Enhanced Color Correction with Improved Documentation and Evaluation

✨ Features

• Enhanced color correction with improved patch comparison and metrics
• Added polynomial correction model with configurable degrees
• Implemented comprehensive color difference evaluation

📚 Documentation

• Added "How it works" section with visual explanation
• Updated README with polynomial correction details
• Improved section headers for better clarity
• Added sample debug output visualization
• Enhanced usage examples with evaluation results

🔧 Technical

• Added calc_color_diff_patches() method for quality evaluation
• Implemented CIE 2000 color difference calculation
• Enhanced debug visualization capabilities
• Added support for multiple correction models

v0.0.1b0

Enhance Color Correction with Multiple Models and Improved Visualization

🔧 Improvements

• Color Correction Core
  • Added new correction models: polynomial, linear regression, and affine regression
  • Improved patch detection and processing pipeline
  • Added support for debug visualization outputs
  • Enhanced color patch extraction with better error handling

🎨 Features

• Reference Colors
  • Added RGB format reference colors alongside BGR
  • Improved color patch visualization and comparison tools
  • Added support for custom reference images

📝 Documentation

• README Updates
  • Simplified usage documentation with clearer examples
  • Added visual explanation of color correction workflow
  • Updated installation and usage instructions

🛠️ Development

• Project Structure
  • Reorganized core modules for better maintainability
  • Added new utility modules for image processing
  • Updated VSCode settings for better development experience

🔨 Build

• Dependencies
  • Added scikit-learn for advanced correction models
  • Updated ruff to v0.9.4
  • Added pre-commit hooks configuration

🧪 Testing

• Test Coverage
  • Added new test cases for image processing utilities
  • Improved test organization and structure