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Face Recognition Pipeline

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File structure

  • assets/ - contains resources like images that are used in markdown files
  • database/ - contains the database of faces that are used for a presentation
  • datasets - contains datasets used for training and testing the pipeline
  • models/ - contains our trained models
  • notebooks/ - contains jupyter notebooks for testing and developing the pipeline
  • research/ - contains markdown files with research notes and links to papers or additional resources
  • src/ - contains the main pipeline code
  • utils/ - contains utility functions for the pipeline, that initialy we use for notebooks and then for building python application

About

Modular deep learning real-time pipeline for face detection, photo quality estimation, and one-shot face recognition using Siamese networks.

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