def METHOD_NAME():
    """Parse all the arguments.
    Returns:
      A list of parsed arguments.
    """
    parser = argparse.ArgumentParser(description="TF2 Semantic Segmentation")
    parser.add_argument("--input_size", type=str, default='128,128', help="Input shape: [H, W]")
    #data config
    parser.add_argument("--img_path", type=str, default='./data/nuclei_data',
                        help="Path to the directory containing the cityscapes validation images.")
    parser.add_argument("--num_classes", type=int, default=2,
                        help="Number of classes to predict.")
    parser.add_argument("--thread", type=int, default=1,
                        help="Number of thread.")
    parser.add_argument("--eval_iter", type=int, default=6000, help="images number to run.")
    # model config
    parser.add_argument("--weight_file", type=str, default='quantized_model/quantized.h5',
                        help="Path to the final best weights.")
    parser.add_argument("--save_path", type=str, default='./results_visulization/',
                        help="where to save the vis results.")
    parser.add_argument("--return_seg", type=bool, default=True,
                        help="resturn gray prediction")
    parser.add_argument("--mode", type=str, default="normal",
                        help="select perf or normal.")
    return parser.parse_args()