Another approach to create and form Tfrecord for training and testing data

Question

I am currently using this command to create a train.record file

!py generate_tfrecord.py -x C:/Users/Desktop/dataset/Workspace/images/train -l C:/User/Desktop/dataset/Workspace/annotations/Annotations/Train/train.record

I get the following error

Traceback (most recent call last):
  File "c:\Users\Desktop\dataset\generate_tfrecord.py", line 62, in <module>
    label_map_dict = label_map_util.get_label_map_dict(label_map)
  File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\object_detection\utils\label_map_util.py", line 164, in get_label_map_dict
    label_map = load_labelmap(label_map_path)
  File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\object_detection\utils\label_map_util.py", line 133, in load_labelmap
    label_map_string = fid.read()
  File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 114, in read
    self._preread_check()
  File "C:\Users\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 76, in _preread_check
    self._read_buf = _pywrap_file_io.BufferedInputStream(
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
    1. tensorflow.python.lib.io._pywrap_file_io.BufferedInputStream(filename: str, buffer_size: int, token: tensorflow.python.lib.io._pywrap_file_io.TransactionToken = None)

Invoked with: , 524288

There is an answer here I did try but still not working for me any thoughts Error when converting xml files to tfrecord files