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FaceAndSmileDetect.py
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FaceAndSmileDetect.py
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import cv2
face_cascade = cv2.CascadeClassifier('hearcascade_frontalface_default.xml')
smile_cascade = cv2.CascadeClassifier('hearcascade_smile.xml')
def detect(gray, frame):
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), ((x + w), (y + h)), (255, 0, 0), 2)
roi_gray = gray[y:y + h, x:x + w]
roi_color = frame[y:y + h, x:x + w]
smiles = smile_cascade.detectMultiScale(roi_gray, 1.8, 20)
for (sx, sy, sw, sh) in smiles:
cv2.rectangle(roi_color, (sx, sy), ((sx + sw), (sy + sh)), (0, 0, 255), 2)
return frame
video_capture = cv2.VideoCapture(0)
while True:
_, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
canvas = detect(gray, frame)
cv2.imshow('Video', canvas)
if cv2.waitKey(1) & 0xff == ord('q'):
break
#video_capture.release()
#cv2.destroyAllWindows()