# load the class label names
CLASSES = open(args["classes"]).read().strip().split("\n")

# if a colors file was supplied, load it from disk
if args["colors"]:
	COLORS = open(args["colors"]).read().strip().split("\n")
	COLORS = [np.array(c.split(",")).astype("int") for c in COLORS]
	COLORS = np.array(COLORS, dtype="uint8")

# otherwise, we need to randomly generate RGB colors for each class
# label
else:
	# initialize a list of colors to represent each class label in
	# the mask (starting with 'black' for the background/unlabeled
	# regions)
	np.random.seed(42)
	COLORS = np.random.randint(0, 255, size=(len(CLASSES) - 1, 3),
		dtype="uint8")
	COLORS = np.vstack([[0, 0, 0], COLORS]).astype("uint8")