'tensorflow.python.lib.io._pywrap_file_io.BufferedInputStream(filename: str, buffer_size: int, token: tensorflow.python.lib.i
I have a problem while converting from xmls to TFrecords. Here the problem with the code
!python {GTFrecords + 'generate_tfrecord.py'} -x {IMAGE_PATH + '/train'} -l {label_map} -o {ANNOTATION_PATH + '/train.record'}
and here is the error
Traceback (most recent call last):
File "C:\Users\itta_\Documents\python_projects\SignLanguage\Tensorflow\scripts\generate_tfrecord.py", line 62, in <module>
label_map_dict = label_map_util.get_label_map_dict(label_map)
File "C:\Nouveau dossier\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:\Nouveau dossier\lib\site-packages\object_detection\utils\label_map_util.py", line 133, in load_labelmap
label_map_string = fid.read()
File "C:\Nouveau dossier\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 117, in read
self._preread_check()
File "C:\Nouveau dossier\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 79, 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: item {
name: "Hello"
id: 1
}
item {
name: "Help"
id: 2
}
item {
name: "I Love You"
id: 3
show more (open the raw output data in a text editor) ...
item {
name: "Yes"
id: 8
}
, 524288
Can anyone help me please ? thank you
Solution 1:[1]
I had a similar issue. But I has solved by changing the line 62 in generate_tfrecord.py from
label_map_dict = label_map_util.get_label_map_dict(label_map)
to
label_map_dict = label_map_util.get_label_map_dict(args.labels_path)
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | haoenlu |