def METHOD_NAME():
    usage_msg = "Pass the path to a bag, and we'll crawl through the images in it"
    desc_msg = "A tool for making manual segmentation fun!"
    parser = argparse.ArgumentParser(usage=usage_msg, description=desc_msg)
    parser.add_argument(dest="folder", help="The folder to the images to train on")
    parser.add_argument(
        "--output",
        type=str,
        help="Path to a file to output to (and overwrite)",
        default="boost.cv2",
    )
    args = parser.parse_args(sys.argv[1:])
    observation_list, label_list = load_images(args.folder)
    train_on_data(observation_list, label_list)