Fetching metadata from the HF Docker repository...
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feat: implement FaceEngine service with Haar Cascade detection, eye-based alignment, and ArcFace embedding extraction
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perf(onnx): optimized threading for multi-worker environments
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feat: implement initial face recognition service with API endpoints for registration, attendance, and anti-spoofing capabilities.
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feat: Initialize face recognition service with FastAPI, MongoDB, Haar Cascade, ArcFace ONNX, and dynamic configuration sync.
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feat: Introduce face recognition service with Haar Cascade and ArcFace ONNX, updating Dockerfile system dependencies and simplifying pip install.
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chore: remove .env from tracking and update configuration
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feat: Add API endpoints for face registration, attendance marking with liveness and lighting analysis, and introduce dynamic configuration.
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chore: silence known opencv assertion logs and refine mediapipe init
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fix: OpenCV detectMultiScale crash in FaceEngine
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feat: upgrade face recognition with anti-spoofing and lighting checks
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modified: app/__pycache__/main.cpython-313.pyc
modified: app/services/__pycache__/face_recognition.cpython-313.pyc
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Fix: Permission denied on model download and improve path detection
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Initial commit - face recognition service
