# loop over frames from the video file stream
while True:
	# grab the frame from the threaded video stream
	frame = vs.read()
	
	# convert the input frame from BGR to RGB then resize it to have
	# a width of 750px (to speedup processing)
	rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
	rgb = imutils.resize(frame, width=750)
	r = frame.shape[1] / float(rgb.shape[1])

	# detect the (x, y)-coordinates of the bounding boxes
	# corresponding to each face in the input frame, then compute
	# the facial embeddings for each face
	boxes = face_recognition.face_locations(rgb,
		model=args["detection_method"])
	encodings = face_recognition.face_encodings(rgb, boxes)
	names = []