import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

face_cascade =cv2.CascadeClassifier(r"C:\Users\erdiozcan.Erdi\Desktop\OpenCv_Ex\cascades\haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier(r"C:\Users\erdiozcan.Erdi\Desktop\OpenCv_Ex\cascades\haarcascade_eye.xml")

for i in range(1,14):
    img = cv2.imread(r"C:\Users\erdiozcan.Erdi\Desktop\OpenCv_Ex\deneme"+os.sep+str(i)+".jpg")
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray,1.3,5)


    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray = gray[y:y+h,x:x+h]
        roi_color = img[y:y+h,x:x+h]

        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
            

    cv2.imshow('deneme',img)
    cv2.waitKey(0)
cv2.destroyAllWindows()
