Real-Time Face Recognition Using OpenCV, Dlib, and Python
SMRTR summary
This project walks through building a real-time face recognition system using Python, OpenCV, Dlib, and the Face Recognition library. The system loads reference images, generates 128-dimensional facial embeddings, then compares live video frames against stored encodings to identify known individuals. Setup requires CMake and Visual Studio Build Tools, with practical optimizations like frame resizing to boost performance on standard hardware.
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