- Replace hardcoded NUM_DETECTIONS, NUM_CLASSES, NMS_OUTPUT_FEATURES_PER_DETECTION
with runtime extracted values from ONNX model session
- Add extractModelMetadata() method to dynamically determine model properties
- Update parseNMSOutput, matToTensorArray, and postprocessResults to use dynamic variables
- Fallback to constants if runtime extraction fails for safety
- Replace remaining magic numbers with named constants
Related todos: #extract-model-metadata
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Co-Authored-By: Claude <noreply@anthropic.com>
- Created PGHLog utility with "PGH - " prefix for easy log filtering
- Enhanced MLResult with specific error types (MLErrorType enum)
- Updated MLInferenceEngine interface to use MLResult pattern
- Converted all Log.* calls to PGHLog.* in core components
- Added type-specific error recovery strategies with onErrorType()
- Improved error propagation and debugging capabilities
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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
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Co-Authored-By: Claude <noreply@anthropic.com>
ARCH-002: Extract ML Inference Engine
- Created MLInferenceEngine interface with async detection methods
- Implemented YOLOInferenceEngine preserving ALL YOLOOnnxDetector functionality:
* Complete 96-class mapping with exact original class names
* All preprocessing techniques (ultralytics, enhanced, sharpened, original)
* All coordinate transformation modes (HYBRID, LETTERBOX, DIRECT)
* Weighted NMS and cross-class NMS for semantically related classes
* Confidence mapping and mobile optimization
* Debug features (class filtering, confidence logging)
* Letterbox resize with proper aspect ratio preservation
* CLAHE contrast enhancement and sharpening filters
- Created ImagePreprocessor utility for reusable preprocessing operations
* Configurable preprocessing with letterboxing, normalization, color conversion
* Coordinate transformation utilities for model-to-image space conversion
* Support for different preprocessing configurations
- Updated ScreenCaptureService to use new MLInferenceEngine:
* Replaced YOLOOnnxDetector with MLInferenceEngine dependency injection
* Added class name to class ID mapping for compatibility
* Maintained all existing detection pipeline functionality
* Proper async/await integration with coroutines
- Applied preferred code style throughout:
* Opening braces on new lines for functions and statements
* snake_case for local variables to distinguish from members/parameters
* Consistent formatting matching project standards
- Removed obsolete YOLO implementations (YOLODetector, YOLOTFLiteDetector)
- Preserved all sophisticated ML features: TTA, multi-preprocessing, confidence mapping
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Created ScreenCaptureManager interface and ScreenCaptureManagerImpl to separate
screen capture concerns from ScreenCaptureService, improving architecture:
## New Files:
- ScreenCaptureManager.kt: Interface defining screen capture operations
- ScreenCaptureManagerImpl.kt: Implementation handling MediaProjection lifecycle
## Changes to ScreenCaptureService.kt:
- Remove direct MediaProjection/ImageReader/VirtualDisplay handling
- Use ScreenCaptureManager via dependency injection pattern
- Delegate screen capture operations to manager
- Get screen dimensions from manager instead of storing locally
- Proper manager lifecycle with release() in onDestroy()
## Benefits:
- Single Responsibility Principle: Service focuses on orchestration
- Testability: Screen capture logic can be unit tested in isolation
- Maintainability: Clear separation of concerns
- Reusability: Manager can be used by other components
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add proper ocrExecutor lifecycle management in ScreenCaptureService.onDestroy()
- Use awaitTermination() with 5-second timeout before forcing shutdownNow()
- Handle InterruptedException with proper thread interrupt restoration
- Verified temporary executors in YOLOOnnxDetector already have proper cleanup
- Prevents thread pool resource leaks and ensures clean service shutdown
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add proper bitmap cleanup in ScreenCaptureService.processImage()
- Fix bitmap leaks in convertImageToMat() with try-finally blocks
- Ensure bitmap.recycle() called in all exception paths
- Add safe cleanup in EnhancedOCR.performBasicOCR()
- Wrap OCR bitmap operations with proper resource management
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Co-Authored-By: Claude <noreply@anthropic.com>
- Create MatUtils.kt with safe resource management patterns
- Fix major Mat leak in ScreenCaptureService.kt image processing pipeline
- Fix Mat leaks in EnhancedOCR.kt enhanceImageForOCR() and upscaleImage()
- Add Mat.use() extension for automatic cleanup with try-finally
- Add useMats() utility for multi-Mat operations
- Add releaseSafely() for batch Mat cleanup with error handling
Critical stability fix: prevents native memory leaks that cause app crashes
during extended detection use. Mat objects now guaranteed to be released
even in exception paths.
Related: REFACTORING_TASKS.md CRITICAL-001
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Co-Authored-By: Claude <noreply@anthropic.com>
- Delete FloatingActionButtonUI.kt (580 lines) - unused Material 3 FAB
- Delete FloatingOrbUI.kt (270 lines) - unused basic orb implementation
- Delete FloatingComposeOverlay.kt (352 lines) - unused Compose overlay
- Delete FloatingUIActivity.kt (444 lines) - unused activity with dead code
- Remove FloatingUIActivity from AndroidManifest.xml
- Clean up unused imports and functions in MainActivity.kt
- Update comments in ScreenCaptureService.kt
Total cleanup: 1,646 lines of unused code removed
Active UI: EnhancedFloatingFAB.kt remains as the working implementation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Replace broken FloatingComposeOverlay with EnhancedFloatingFAB
- True floating behavior using WindowManager overlay system
- Edge docking: automatic snap to screen edges within 50dp threshold
- Touch-through support: only FAB intercepts touches, rest passes to underlying apps
- Expandable menu with 5 detection options (DETECT, SHINY, POKEBALL, ALL, DEBUG)
- Material Design styling with circular backgrounds and proper elevation
- Haptic feedback with permission checking and graceful fallbacks
- Auto-hide menu after 3 seconds of inactivity
- Smooth animations: 300ms edge snapping, staggered menu expansion
- Added VIBRATE permission to AndroidManifest.xml
- Added Material Design Components dependency
Technical implementation:
- WindowManager overlay with WRAP_CONTENT sizing for precise touch handling
- ImageButton with custom GradientDrawable backgrounds for Material styling
- ValueAnimator for smooth edge snapping with AccelerateDecelerateInterpolator
- ObjectAnimator for menu item animations with staggered delays
- Safe vibration with runtime permission checks and exception handling
Addresses critical requirements from UI_MODERNIZATION_TASKS.md:
✅ Truly floating like CalcIV - not activity-based
✅ Edge docking with smooth animation
✅ Touch-through for underlying Pokemon GO interaction
✅ Professional Material 3 design
✅ No system UI interference
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Co-Authored-By: Claude <noreply@anthropic.com>
- Create FloatingComposeOverlay using WindowManager for true system overlay
- Replace Activity-based approach with proper overlay window
- Add unrestricted drag support with WindowManager position updates
- Use transparent background to show underlying apps
- Integrate overlay directly into ScreenCaptureService
- Remove FloatingUIActivity dependency from MainActivity
Benefits:
- True floating behavior over all apps
- Unrestricted dragging anywhere on screen
- Transparent background shows underlying content
- Proper system overlay like CalcIV
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Co-Authored-By: Claude <noreply@anthropic.com>
- Create FloatingUIActivity with true Material 3 FloatingActionButton
- Implement Binder communication between UI Activity and Service
- Remove UI handling from ScreenCaptureService (now pure background service)
- Add proper Material 3 animations and haptic feedback
- Update MainActivity to launch FloatingUIActivity on capture start
- Register FloatingUIActivity in AndroidManifest with transparent theme
Architecture: FloatingUIActivity (Compose UI) ↔ Binder ↔ ScreenCaptureService (Detection)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixed critical color conversion issue where RGBA2RGB was causing red/blue
channel swap, preventing YOLO model from recognizing shiny icons. Changed
to RGBA2BGR conversion for proper OpenCV compatibility.
Key improvements:
- Fixed screen capture padding/cropping (1088→1080px width)
- Added comprehensive debug logging for capture pipeline
- Created comparative debugging scripts for .pt vs ONNX models
- Resolved color corruption preventing shiny icon detection
- Shiny icons now detected with 0.87+ confidence
Testing confirmed detection working for shiny icons and other UI elements.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Remove class-specific check and apply 5% expansion to all OCR detections
- Improves text extraction accuracy across all Pokemon info fields
- Stat values showed significant improvement, extending to all text classes
- No overlap issues expected due to Pokemon Home UI spacing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add extractPokemonInfoFromYOLOAsync call to triggerManualDetection()
- OCR extraction was missing after MVC refactor - only YOLO detection was running
- Now manual detection triggers both YOLO detection and OCR extraction
- Maintains full Pokemon analysis functionality in new MVC architecture
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add 5% expansion to bounding boxes for hp_value, attack_value, defense_value, sp_atk_value, sp_def_value, speed_value
- Expansion applied before clipping to image boundaries
- Added debug logging to show bbox expansion transformations
- Should improve OCR accuracy for tight stat value detections
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update DetectionController.processDetection() to return Detection objects
- Add Detection import to controller
- Update ScreenCaptureService to show overlay using returned detections
- Improve FloatingOrbUI button text visibility with larger font and padding
The MVC refactor is now complete with fully working detection overlay.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Replace old UI code with FloatingOrbUI component
- Add DetectionController with callback system
- Implement convertImageToMat helper function
- Connect UI events to business logic through controller
- Remove direct YOLO detector calls from UI
Related todos: #24
Quildra