face_recognition.py 文件源码

def __init__(self):
        cfg = Config()
        # set up face detection models
        opencv_home = cfg.get("face_detection", "opencv_home")
        haarcascade = cfg.get("face_detection", "haarcascade")
        cascadePath = "/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml"
        self.faceCascade = cv2.CascadeClassifier('{0}/{1}'.format(opencv_home, haarcascade))

        self.recognizer = cv2.face.createLBPHFaceRecognizer()
        #self.recognizer = cv2.face.createEigenFaceRecognizer()
        #self.recognizer = cv2.face.createFisherFaceRecognizer()

        # the faces and Raspberry Pi locations we'll use
        self.names = ["james", "juanjo", "sayantan", "vineet"]
        self.rasp_names = ["FrontDoor", "Entrance", "Garage"]
        access = cfg.get("aws", "access_key_id")
        secret = cfg.get("aws", "secret_access_key")

        # connect to dynamo
        self.conn = boto.dynamodb2.connect_to_region('us-west-1', aws_access_key_id=access, aws_secret_access_key=secret)
        self.sc = Table('SMARTCAM', connection=self.conn)


    # read in training set and train the model