detectAndAlignFaces

import cv2
import dlib
import os
import openface
import ntpath

from glob import glob

# load face recognition model
predictor_model = './models/shape_predictor_68_face_landmarks.dat'

# initiate face detection and alignment
face_detector = dlib.get_frontal_face_detector()
face_pose_predictor = dlib.shape_predictor(predictor_model)
face_aligner = openface.AlignDlib(predictor_model)

# locate training directories
dbDir = './face-db/images/'
persons = [x for x in next(os.walk(dbDir))[1]]

## DETECT AND ALIGN LANDMARKS
for person in persons:
    print('----------------')
    print person
    print('----------------')
    files = glob(dbDir + person + '/*.jpg')
    for file in files:
        image = cv2.imread(file)
        detected_faces = face_detector(image, 1)
        print ntpath.basename(file)
        if len(detected_faces) != 1:
            print("None or various faces detected. Ignoring file.")
            continue
        else:
            print("Found {} faces in the image file".format(len(detected_faces)))
        pose_landmarks = face_pose_predictor(image, detected_faces[0])
        alignedFace = face_aligner.align(534, image, detected_faces[0], landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
        cv2.imwrite('./face-db/alignedImages/' + person + '/' + ntpath.basename(file),alignedFace)