Face_detect_eye_detect1.py

import cv2
import numpy as np 


def main():
	face_cascade = cv2.CascadeClassifier('cascades\\haarcascade_frontalface_default.xml')
	eye_cascade = cv2.CascadeClassifier('cascades\\haarcascade_eye.xml')
	cap = cv2.VideoCapture(0)

	while(True):
		ret,frame = cap.read()
		gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
		faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3,minNeighbors= 5)
		for (x,y,w,h) in faces:
		    
		    roi_gray = gray[y:y+h, x:x+w]
		    roi_color = frame[y:y+h, x:x+w]
		    img_item= "my_image.jpg"
		    cv2.imwrite(img_item,roi_color)
		    cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
		    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('Frame',frame)

		if cv2.waitKey(1)==27:
			break

	cap.release()

	cv2.destroyAllWindows()

if __name__ == '__main__':
	main()