def __init__()

in source/frontend/detector.py [0:0]

• 15 lines of code
• 3 McCabe index (conditional complexity)

    def __init__(self, env):
        try:
            self.FACE_AREA_THRESHOLD = env['FaceAreaThreshold']
            self.FACE_MARGIN_RATIO = env['FaceMarginRatio']
            self.USE_DEEP_LEANING_FOR_DETECTOR = env['UseDeepLeaningForDetector']

        except KeyError:
            print('Invalid config file')
            raise

        if self.USE_DEEP_LEANING_FOR_DETECTOR:
            print('Loading SSD model...')
            self.net = cv2.dnn.readNetFromCaffe(self.PROTOTEXT, self.CAFFEMODEL)
        else:
            print('Loading Haar-cascade classifier...')
            self.face_cascade = cv2.CascadeClassifier(self.HAARLIKE)
        print('Loaded!')