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Description
Description
Update from YOLOv8n to YOLOv11 for improved performance and accuracy. Add a user preference system for model size selection (nano, small(default), medium).
Tasks
- Export YOLOv11 models (nano, small, medium) in ONNX format for object and face detection
- Create
user_preferencesproperty in the metadata table of the SQLite database - Refactor
YOLOv8.pyto handle multiple model sizes - Add API endpoint
GET/PUT /user-preferencesfor model selection - Update UI with model selection in onboarding and settings
Expected Outcome
Users can choose between different YOLO model sizes based on their hardware capabilities and performance needs.
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