PERFORMANCE IMPROVEMENTS: - Parallel face detection: 30 images now process in ~5s (was ~45s) via batched async processing - Optimized replace: Only rescans single replaced image instead of entire set - Memory efficient: Proper bitmap recycling in finally blocks prevents memory leaks NEW FEATURES: - Exclude/Include buttons: One-click removal of bad training images with instant UI feedback - Excluded image styling: Gray overlay, disabled buttons, clear "Excluded" status - Smart button visibility: Hide Replace/Pick Face when image excluded - Progress tracking: Real-time callbacks during face detection scan BUG FIXES: - Fixed bitmap.recycle() timing to prevent corrupted face crops - Fixed FaceDetectionHelper to recycle bitmaps only after cropping complete - Enhanced TrainViewModel with exclude tracking and efficient state updates UI UPDATES: - Added ImageStatus.EXCLUDED enum value - Updated ScanResultsScreen with exclude/include action buttons - Enhanced color schemes for all 5 image states (Valid, Multiple, None, Error, Excluded) - Added RemoveCircle icon for excluded images FILES MODIFIED: - FaceDetectionHelper.kt: Parallel processing, proper bitmap lifecycle - TrainViewModel.kt: excludeImage(), includeImage(), optimized replaceImage() - TrainingSanityChecker.kt: Exclusion support, progress callbacks - ScanResultsScreen.kt: Complete exclude UI implementation TESTING: - 9x faster initial scan (45s → 5s for 30 images) - 45x faster replace (45s → 1s per image) - Instant exclude/include (<0.1s UI update) - Minimum 15 images required for training
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