A face interface class implementing different face detection, alignment and recognition algorithms.

• Face Detector (detector_method='dlib')
• Dlib CNN Face Detector (detector_method='cnn')
• OpenCV Face Detector (detector_method='opencv')
• Dlib Face Recognition (recognition_method='dlib')
• Dlib Facial Landmarks (predictor_model='small' for 5 face landmarks)

• dlib
• opencv
• numpy
• cudnn (for gpu supoort for cnn methods)

sudo apt-get install libboost-all-dev libopenblas-dev liblapacke-dev cmake build-essential
sudo apt-get install python-dev python-pip python-opencv python-setuptools #python-opencv

pip install --user git+<https-url>

import face, cv2
facedemo = face.Face(detector_method='dlib')

image_url1 = 'test.png'
image_url2 = 'test2.png'

imgcv1 = cv2.imread(image_url1)
imgcv2 = cv2.imread(image_url2)

if imgcv1 is not None and imgcv2 is not None:
    results = facedemo.compare(imgcv1, imgcv2)
    print results