code: def parse_args():
      parser = argparse.ArgumentParser(
          description="convert efficientdet weight from tensorflow to pytorch"
      )
      parser.add_argument(
          "--backbone",
          type=str,
          help="efficientnet model name, like efficientnet-b0",
      )
      parser.add_argument(
          "--tensorflow_weight",
          type=str,
          help="efficientdet tensorflow weight name, like efficientdet-d0/model",
      )
      parser.add_argument(
          "--out_weight",
          type=str,
          help="efficientdet pytorch weight name like demo.pth",
      )
      args = parser.parse_args()
      return args
  
file_path: mmdetection/projects/EfficientDet/convert_tf_to_pt.py
imports: import argparse
  import numpy
  import torch
  from tensorflow.python.training import py_checkpoint_reader
label_desc: Use image node_id 3 for calling a global function with example usage: parse_args() and returns: args