import cv2
import numpy
class EyerisDetector:

    def __init__(self):
        self.irises = []
        self.blink_in_previous = False
        self.blinks = 0
        self.font=cv2.FONT_HERSHEY_SIMPLEX
        self.eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
    def run(self):
        capture = cv2.VideoCapture(0)
        k = cv2.waitKey(30) & 0xff
        eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
        while k != 27:  # ESC
            ret,frame = capture.read()
            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
            self.irises=[]
            eyes = self.eye_cascade.detectMultiScale(gray, 1.3, 5)
            irises2 = []

            for (ex, ey, ew, eh) in eyes:
                iris_w = int(ex + float(ew / 2))
                iris_h = int(ey + float(eh / 2))
                irises2.append([numpy.float32(iris_w), numpy.float32(iris_h)])
                self.irises=numpy.array(irises2)
            for w, h in self.irises:
                cv2.circle(frame, (w, h), 2, (0, 0, 255), 2)
            cv2.imshow('Eyeris detector', frame)
            k = cv2.waitKey(30) & 0xff
            old_gray = gray.copy()
        cv2.destroyAllWindows()

eyeris_detector = EyerisDetector()
eyeris_detector.run()