code: def check_input_data(self, args):
      input_data = []
      if args.input_path:
          input_data = [args.input_path]
      elif args.input_file:
          if not os.path.exists(args.input_file):
              raise RuntimeError(
                  "File %s is not exist." % args.input_file
              )
          else:
              input_data = txt_parser.parse(
                  args.input_file, use_strip=True
              )
      return input_data
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import ast
  import argparse
  from math import ceil
  import paddle
  import numpy
  import paddle.jit
  import paddle.static
  from paddlehub.module.module import moduleinfo, runnable, serving
  from paddle.inference import Config, create_predictor
  from paddlehub.utils.parser import txt_parser
  from .processor import load_label_info, postprocess, base64_to_cv2
  from .data_feed import test_reader, padding_minibatch
label_desc: Use image node_id 6 for calling the FasterRCNNResNet50RPN obj's underlying member method code with example usage: obj.check_input_data(args) and returns: input_data