Question

如何解决有关tf.record的以下错误回溯？

(tensorflow1) c:\tensorflow1\models\research\object_detection>python generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record --image_dir=(image directory)
Traceback (most recent call last):
  File "generate_tfrecord.py", line 17, in <module>
    import tensorflow as tf
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\__init__.py", line 52, in <module>
    from tensorflow.core.framework.graph_pb2 import *
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 15, in <module>
    from tensorflow.core.framework import node_def_pb2 as tensorflow_dot_core_dot_framework_dot_node__def__pb2
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\core\framework\node_def_pb2.py", line 15, in <module>
    from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 15, in <module>
    from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\core\framework\tensor_pb2.py", line 15, in <module>
    from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
  File "C:\Users\Dell-Oguz\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 91, in <module>
    __module__ = 'tensorflow.core.framework.resource_handle_pb2'
TypeError: expected bytes, Descriptor found

Answer 1

尝试一下，为我工作

pip install protobuf-py3
pip install --upgrade protobuf

Answer 2

当我在现有的tenforflow上用conda install -c anaconda tensorflow-gpu安装tensorflow时，会遇到相同的错误。

删除现有环境并创建一个新环境。然后运行conda install -c anaconda tensorflow-gpu。

Answer 3

可能是由于tensorflow和tensorboard版本不匹配所致。

为代码创建单独的conda环境后，我解决了该问题。

Answer 4

就我而言，

pip install --ignore-installed --upgrade tensorflow-gpu==1.15.0

完成工作：）。

TypeError：预期的字节，找到描述符

4 个答案: