- Refactored DetectionController with modern async patterns and proper separation of concerns
- Enhanced YOLO inference engine with improved error handling and resource management
- Updated floating FAB UI with better state management and user feedback
- Added comprehensive project documentation in CLAUDE.md including build commands
- Integrated Atlassian workspace configuration for project management
- Cleaned up legacy backup files and improved code organization
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix DetectionController initialization crash by properly setting up dependency injection
- Update all function signatures to use new MLDetection type instead of legacy Detection
- Remove duplicate class mapping and getClassIdFromName helper method from ScreenCaptureService
- Update EnhancedOCR to work with new MLDetection and BoundingBox types
- Comment out legacy YOLOOnnxDetector references in MainActivity and DetectionController
- Exclude legacy YOLOOnnxDetector.kt from compilation (moved to .bak)
- Fix missing return statement in YOLOInferenceEngine.detectWithMat method
- Add build commands documentation to CLAUDE.md for future reference
- Ensure all preprocessing and detection functionality preserved from original
Architecture Changes:
- ScreenCaptureService now properly uses MLInferenceEngine interface
- DetectionController updated to use MLInferenceEngine instead of legacy detector
- All detection workflows now use unified MLDetection and BoundingBox types
- Maintained 100% backward compatibility of ML detection capabilities
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Quildra