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- Added GPU support (CUDA) to the YOLOv12 detector if available. - Implemented `blur_faces` method in `YOLOv12FaceDetector` for privacy-conscious detections. - Implemented `get_face_crops` method to extract and gallery detected faces. - Updated `/api/detect-image` to support an optional `blur` parameter and return base64 face crops. - Added a Dark Mode toggle to the web UI with persistent theme settings. - Added a "Privacy Mode (Blur Faces)" toggle and a "Face Gallery" section to the UI. - Cleaned up the repository of temporary test and mock files. Co-authored-by: RevDra <200167038+RevDra@users.noreply.github.com>
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The project was upgraded with several new features and performance enhancements:
YOLOv12FaceDetectornow automatically detects and utilizes CUDA for faster inference when available.localStoragefor improved user experience./api/detect-imageendpoint was updated to support the new blurring parameter and provide extracted crops in the response.Extensive testing was performed using mock environments to verify the backend logic, API responses, and frontend UI changes (including Playwright-based visual verification).
PR created automatically by Jules for task 12065996488473101507 started by @RevDra