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Initial setup #1

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  • Utilizes three detector models: Yunet, MediaPipe, and Haar for facial feature identification.
  • Face recognition is implemented using the Python face-recognition library.
  • Includes a tweaking file for generation of a dataframe.
  • The dataframe includes stored encodings and distances between them for various face recognition metrics evaluation.

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