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- import cv2
- faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
- # grab the reference to the webcam
- vs = cv2.VideoCapture(0)
- # keep looping
- while True:
- # grab the current frame
- ret, frame = vs.read()
-
- # if we are viewing a video and we did not grab a frame,
- # then we have reached the end of the video
- if frame is None:
- break
-
- faces = faceCascade.detectMultiScale(frame)
- for (x, y, w, h) in faces:
- cv2.rectangle(frame, (x, y), (x+w, y+h), (255,0,0), 2)
-
- # show the frame to our screen
- cv2.imshow("Video", frame)
- key = cv2.waitKey(1) & 0xFF
- # if the 'q' or ESC key is pressed, stop the loop
- if key == ord("q") or key == 27:
- break
-
- # close all windows
- cv2.destroyAllWindows()
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