Skip to content

Conversation

@debabratabhagat
Copy link
Collaborator

  • 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.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants