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python - 使用 tensorflow 训练对象检测分类器

问题描述

帮助我摆脱我无法克服的错误

使用以下命令后

python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record

我收到以下错误

Traceback (most recent call last):
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\Users\asus\Anaconda3\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\asus\Anaconda3\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "generate_tfrecord.py", line 18, in <module>
    import tensorflow as tf
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 101, in <module>
    from tensorflow_core import *
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\__init__.py", line 40, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__
    module = self._load()
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "C:\Users\asus\Anaconda3\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\asus\Anaconda3\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\Users\asus\Anaconda3\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\asus\Anaconda3\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions.  
Include the entire stack trace
above this error message when asking for help.

标签： pythontensorflowobject-detection

解决方案

我通过从这里下载和安装 Visual Studio 2017-2019 x86 和 x64 解决了这个问题：

其他解决方案是将 tensorflow 降级到 2.0：

pip install tensorflow==2.0

我有用于 CUDA 10.1 的 Python 3.7.6、CUDA 10.1 和 cuDNN，并且我遵循了以下要求：

如果这对您不起作用，请创建虚拟环境。

conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu

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