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: import os
  import ast
  import argparse
  import numpy
  import paddle.fluid
  import paddlehub
  from paddlehub.module.module import moduleinfo, runnable
  from paddle.fluid.core import PaddleTensor, AnalysisConfig, create_paddle_predictor
  from paddlehub.common.paddle_helper import add_vars_prefix
  from paddlehub.io.parser import txt_parser
  from darknet53_imagenet.darknet import DarkNet
  from darknet53_imagenet.processor import load_label_info
  from darknet53_imagenet.data_feed import test_reader
label_desc: Use image node_id 11 for calling the DarkNet53 obj's underlying member method code with example usage: obj.check_input_data(args) and returns: input_data