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
Add Analyzer Report and Bug Fixes
- Added comprehensive reporting functionality for color correction results
- New
ColorCorrectionAnalyzerclass 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
- New
- 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
- Added new Analyzer section in README
- Example usage code for ColorCorrectionAnalyzer
- Sample benchmark output visualization
- Updated version to 0.0.1b3
- 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 from color-correction-asdfghjkl to color-correction
Enhanced Color Correction with Improved Documentation and Evaluation
- Enhanced color correction with improved patch comparison and metrics
- Added polynomial correction model with configurable degrees
- Implemented comprehensive color difference evaluation
- 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
- 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
- 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
- Reference Colors
- Added RGB format reference colors alongside BGR
- Improved color patch visualization and comparison tools
- Added support for custom reference images
- README Updates
- Simplified usage documentation with clearer examples
- Added visual explanation of color correction workflow
- Updated installation and usage instructions
- Project Structure
- Reorganized core modules for better maintainability
- Added new utility modules for image processing
- Updated VSCode settings for better development experience
- Dependencies
- Added scikit-learn for advanced correction models
- Updated ruff to v0.9.4
- Added pre-commit hooks configuration
- Test Coverage
- Added new test cases for image processing utilities
- Improved test organization and structure
- feat: add GitHub Actions workflow for publishing package to PyPI and update README with installation and usage instructions (3d07d2c)
- feat: update versioning scheme and enhance project metadata for clarity (6f0fab4)
- feat: update model folder path in downloader utility for improved file management (b8bf5d9)
- feat: initialize color correction module and update project metadata (c42ca92)
- feat(dependencies): add shapely and colour-science dependencies for enhanced image processing (15cb63b)
- feat: add image and geometry processing utilities for patch extraction and analysis (77769ed)
- feat: add color checker reference and enhance YOLOv8 detection with patch extraction (2458ce5)
- feat: implement base class and least squares regression for image correction (f2f8443)
- feat(core/card_detection/yolov8): add auto download model onnx based on spec - add device specifications schema and detection utilities (954d631)
- feat(build): add Makefile target for exporting YOLO model to ONNX format (b8b86bf)
- refactor: remove debug print statement from nms function (b369046)
- refactor: YOLOv8CardDetector class to improve documentation and add half-precision support; adjust font size in draw_detections function (10fd6c2)
- fix(core): fixing drop model performance by: - Update YOLOv8CardDetector to enhance input preparation and adjust IoU threshold; - improve image scaling and tensor conversion (9bd9fd9)
- docs(yolo_utils): enhance NMS function documentation for clarity and detail (c23287c)
- docs(README): update links and remove outdated content (5c58cc3)
- docs(yolo_utils): enhance function documentation for clarity and completeness (863c459)
- chore: update .gitignore to exclude pytest and ruff cache directories (4584073)
- chore: update .gitignore to exclude coverage files (1fa5c9d)
- chore(deps): update dependencies and add new packages (80b9e22)
- test: add return type annotation to test_detector_init function (0fdd5c4)
- test: add unit tests for YOLOv8 detector and NMS functions (e92ad54)
- build: update dependencies and enhance testing workflow with coverage (e45a9f2)
- build: add test command to Makefile for running pytest (b958500)
- ci: remove push trigger from tests workflow (4f0f9e9)
- ci: update workflow to use ruff for linting and formatting checks (cfdd7cd)
- ci: enhance GitHub Actions workflow with caching and pre-commit checks (e8fa935)
- ci: add GitHub Actions workflow for automated testing (70f649c)
- Merge pull request #2 from agfianf/feat/add-least-squares-correction (d69c03e)
- Merge pull request #1 from agfianf/feat/add-yolov8-detector (3bb33f9)
- Initialize project with Python version, .gitignore, VSCode settings, pre-commit configuration, and pyproject.toml (71a8c74)
- Add README.md for Color Correction package documentation (2b35650)