krmali / Face-Recognizer

Computer Vision course project

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#Authors

  • Kareem Ali
  • Ahmad Hassan
  • Mina Sokrat

#C++ implementation

In order to overcome the pythons huge run time limitations we implemented the most exhaustive function which is the Lbp in c++ and interfaced it with our python impl- ementation so we call the function lbp from the shared library lbp we wrote for every image. The shared library as will as a makefile you can edit for your machine requirements are available in the same folder make sure you include them.


#Running

Make sure that the folders "negative train", "Positive train" and "test" are all available in the same folder and simpy run FaceRecognizer.py


#Output

  1. The output is total runtime in seconds
  2. Precision
  3. Recall
  4. F1 Measure

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Computer Vision course project


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Language:C++ 47.0%Language:Python 39.9%Language:Makefile 13.1%