Windows下Tensorflow-slim库使用遇到ImportError: No module named 'nets'问题的解决方法
为了使用预训练的TF-slim模型，下载了github上的TensorFlow/models库，随后运行models\research\slim\nets下的inception_resnet_v2_test.py进行测试，提示ImportError: No module named 'nets'
进行搜索后发现一条相关的issue：ImportError: No module named nets，其中提到如下解决方法：
一是添加环境变量PYTHONPATH，值为slim目录：
然而该方法只能用于linux系统，Windows下不适用，即使添加环境变量也没起到效果，于是采用下列方法解决问题。
二是运行setup.py文件，将slim中所有的模块加载。
运行命令:
python setup.py build
python setup.py install提示：
error: could not create 'build': 当文件已存在时，无法创建该文件。原因是git clone下来的代码库中有个BUILD文件，而build和install指令需要新建build文件夹，名字冲突导致问题。暂时不清楚BUILD文件的作用。将该文件移动到其他目录，再运行上述指令，即可成功安装。随后重新运行inception_resnet_v2_test.py文件，结果如下：
PS E:\models\research\slim> python .\nets\inception_v2_test.pyC:\Program Files\Python35\lib\site-packages\tensorflow\python\framework\tensor_util.py:539: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead
return np.fromstring(tensor.tensor_content, dtype=dtype).reshape(shape)
..C:\Program Files\Python35\lib\site-packages\tensorflow\python\util\tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
if d.decorator_argspec is not None), _inspect.getargspec(target))
........2018-02-06 17:00:48.190048: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2018-02-06 17:00:49.245086: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1105] Found device 0 with properties:
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.5315
pciBusID: 0000:01:00.0
totalMemory: 2.00GiB freeMemory: 1.62GiB
2018-02-06 17:00:49.253825: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
.\nets\inception_v2_test.py:323: DeprecationWarning: Please use assertEqual instead.
self.assertEquals(output.shape, (batch_size,))
.2018-02-06 17:00:55.403886: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
WARNING:tensorflow:From C:\Program Files\Python35\lib\site-packages\slim-0.1-py3.5.egg\nets\inception_v2.py:519: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
..2018-02-06 17:01:01.405810: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
...2018-02-06 17:01:06.996933: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
.2018-02-06 17:01:09.490864: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
.2018-02-06 17:01:10.330319: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
..
----------------------------------------------------------------------
Ran 20 tests in 51.844s
OK参考链接：https://stackoverflow.com/questions/45036496/tensorflow-object-detection-importerror-no-module-named-nets