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- import cv2
- faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
- smileCascade= cv2.CascadeClassifier('haarcascade_smile.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
-
- gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
- gray = cv2.equalizeHist(gray)
-
- faces = faceCascade.detectMultiScale(frame, scaleFactor=1.05, minNeighbors=5, minSize=(45, 45))
- for (x,y,w,h) in faces:
- #cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
- face_gray = gray[y:y+h, x:x+w]
- face_color = frame[y:y+h, x:x+w]
- smiles = smileCascade.detectMultiScale(face_gray, scaleFactor=1.7, minNeighbors=3, minSize=(15, 15))
- for (ex,ey,ew,eh) in smiles:
- cv2.rectangle(face_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),1)
-
- # 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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