# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required=True,
	help="path to deep learning segmentation model")
ap.add_argument("-c", "--classes", required=True,
	help="path to .txt file containing class labels")
ap.add_argument("-i", "--image", required=True,
	help="path to input image")
ap.add_argument("-l", "--colors", type=str,
	help="path to .txt file containing colors for labels")
ap.add_argument("-w", "--width", type=int, default=500,
	help="desired width (in pixels) of input image")
args = vars(ap.parse_args())