## you have a stop on '''
current = datetime.datetime.now()
new = current.second
if ((current.second) % 4 == 0):
if (prev != new):
sto, direction = st.detect(frame)
if (direction == 0):
vce.stop_right()
elif (direction == 1):
vce.stop_left()
cv2.imshow('stop', sto)
faces, dire = fac.faceDetect(frame)
if (dire == 0):
vce.peopleOnRight()
if (dire == 1):
vce.peopleOnLeft()
cv2.imshow('faces', faces)
frame2 = frame
frame2 = cv2.resize(frame2, (width, height))
frame2 = frame2.astype('float') / 255.0
frame2 = img_to_array(frame2)
frame2 = np.expand_dims(frame2, axis=0)
left, right, center = model.predict(frame2)[0]
if (left > right and left > center):
label = 'left'
prob = left * 100
if (left < right and right > center):
label = 'right'
