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Switch between HOG, CNN and Haar cascade face detectors and tune parameters to compare accuracy and speed.
The program demonstrates the three most known face detection algorithms :
- Histogram of Oriented Gradients (HOG) with Support Vector Machine (SVM) model
- Convolutional Neural Network (CNN) based face detection
- Haar Feature based Cascade Classifier
and a Deep Metric Learning based face recognition algorithm.
The project is based on face_recognition library which wraps DLib facial detection/recognition functionality.
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