import cv2
face_cascade = cv2.CascadeClassifier('/home/explorer/PycharmProjects/cv2/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('/home/explorer/PycharmProjects/cv2/haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
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 + w]
roi_color = img[y:y + h, x:x + w]
eyes = eye_cascade.detectMultiScale(roi_color)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 0, 255), 2)
cv2.imshow('img', img)
k = cv2.waitKey(30) & 0xffa
if k == 27:
break
cap.release()
cv2.destroyAllWindows()