import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#Read the input image
#img = cv2.imread('test.png')
cap = cv2.VideoCapture('20180423_182625.mp4') #zero for webcam
while cap.isOpened():
_, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for(x, y, w, h) in faces:
cv2.rectangle(img, (x,y), (x+w, y+h), (255, 0, 0), 3)
#Display the output
cv2.imshow('img', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#Read the input image
#img = cv2.imread('test.png')
cap = cv2.VideoCapture('20180423_182625.mp4') #zero for webcam
while cap.isOpened():
_, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for(x, y, w, h) in faces:
cv2.rectangle(img, (x,y), (x+w, y+h), (255, 0, 0), 3)
#Display the output
cv2.imshow('img', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
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