Deep Learning Project.pdf
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This document discusses a deep learning project for face recognition with Python. It explains that the project will use the dlib library and face_recognition API to identify and recognize faces in live video. It is implemented in two parts, with the first part using embedding.py to take images as input and make face embeddings. The second part uses recognition.py to recognize a particular person from the camera frame by comparing new face embeddings to stored ones. The document also provides prerequisites and an overview of dlib's face recognition capabilities and the steps to build the face recognition model with Python.
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