import numpy as np
import cv2
img = cv2.imread("test_image.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
camera = cv2.VideoCapture(0)
while True:
	ret,img = camera.read()
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
	for (x,y,w,h) in faces:
		img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
		roi_gray = gray[y:y+h, x:x+w]
		roi_color = img[y:y+h, x:x+w]
		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('img',img)
	if cv2.waitKey(1) & 0xFF == ord('q'):
		break
        


# cv2.waitKey(0)
cv2.destroyAllWindows()
import numpy as np
import cv2
img = cv2.imread("test_image.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
camera = cv2.VideoCapture(0)
while True:
	ret,img = camera.read()
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
	for (x,y,w,h) in faces:
		img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
		roi_gray = gray[y:y+h, x:x+w]
		roi_color = img[y:y+h, x:x+w]
		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('img',img)
	if cv2.waitKey(1) & 0xFF == ord('q'):
		break
        


# cv2.waitKey(0)
cv2.destroyAllWindows()
# cv2.waitKey(0)