1. python安裝與測試

系統：windows7-64位

進入網址：www.python.org 下載3.5.3版本，執行安裝選擇新增環境變數的PATH,點選install now.

安裝後測試：在CMD視窗輸入：python –V回車

Python 回車鍵入print(‘hello’)回車如下;

1. 安裝numpy 與pandas庫

使用pip3工具，直接在CMD命令視窗輸入：

pip3 install numpy

將自動下載安裝，安裝後如下：

Pandas安裝同樣依照上述：pip3 install pandas

測試：在IDLE中新建py檔案編寫：

Import numpy

Import pandas

Print(“hello”)

執行沒有錯誤，安裝成功。

3,CUDA與CUDNN安裝

參考連結：

NOTE: 可能會出現影象驅動安裝失敗的情況，可以去英偉達官網下載最新驅動安裝重啟後，再次安裝。

安裝成功介面如下（沒有安裝的，它也給出了原因）：

4,安裝tensorflow-gpu

在cmd中使用：pip3 install tensorflow-gpu

測試：在IDLE中import tensorflow 執行指令碼看是否報錯。

結果報錯：

Python 3.5.3 (v3.5.3:1880cb95a742, Jan 16 2017, 16:02:32) [MSC v.1900 64 bit (AMD64)] on win32

Type "copyright", "credits" or "license()" for more information.

>>>

RESTART: C:\Users\Administrator\AppData\Local\Programs\Python\Python35\test.py

Traceback (most recent call last):

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper

return importlib.import_module(mname)

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module

return _bootstrap._gcd_import(name[level:], package, level)

File "<frozen importlib._bootstrap>", line 986, in _gcd_import

File "<frozen importlib._bootstrap>", line 969, in _find_and_load

File "<frozen importlib._bootstrap>", line 958, in _find_and_load_unlocked

File "<frozen importlib._bootstrap>", line 666, in _load_unlocked

File "<frozen importlib._bootstrap>", line 577, in module_from_spec

File "<frozen importlib._bootstrap_external>", line 914, in create_module

File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed

ImportError: DLL load failed: 找不到指定的模組。

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>

from tensorflow.python.pywrap_tensorflow_internal import *

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>

_pywrap_tensorflow_internal = swig_import_helper()

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper

return importlib.import_module('_pywrap_tensorflow_internal')

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module

return _bootstrap._gcd_import(name[level:], package, level)

ImportError: No module named '_pywrap_tensorflow_internal'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\test.py", line 3, in <module>

import tensorflow as tf

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\__init__.py", line 24, in <module>

from tensorflow.python import *

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\__init__.py", line 51, in <module>

from tensorflow.python import pywrap_tensorflow

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 52, in <module>

raise ImportError(msg)

ImportError: Traceback (most recent call last):

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper

return importlib.import_module(mname)

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module

return _bootstrap._gcd_import(name[level:], package, level)

File "<frozen importlib._bootstrap>", line 986, in _gcd_import

File "<frozen importlib._bootstrap>", line 969, in _find_and_load

File "<frozen importlib._bootstrap>", line 958, in _find_and_load_unlocked

File "<frozen importlib._bootstrap>", line 666, in _load_unlocked

File "<frozen importlib._bootstrap>", line 577, in module_from_spec

File "<frozen importlib._bootstrap_external>", line 914, in create_module

File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed

ImportError: DLL load failed: 找不到指定的模組。

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>

from tensorflow.python.pywrap_tensorflow_internal import *

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>

_pywrap_tensorflow_internal = swig_import_helper()

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper

return importlib.import_module('_pywrap_tensorflow_internal')

File "C:\Users\Administrator\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module

return _bootstrap._gcd_import(name[level:], package, level)

ImportError: No module named '_pywrap_tensorflow_internal'

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation _problems

for some common reasons and solutions. Include the entire stack trace

above this error message when asking for help.

>>>

百度有人建議安裝下面的軟體vc++ 2015 redistributable(x86,x64)，重啟電腦，問題解決。

尷尬的是後面發現本機的英偉達顯示卡計算能力只有2.1並不符合tensorflow的要求（如下圖）。。。。。

果斷解除安裝裝cpu版

測試如下：

5, 在python3.5使用 opencv庫

這裡官方只支援python2.7，所以我們用非官方的庫。

(也可下載完整版：opencv_python-3.2.0+contrib-cp35-cp35m-win_amd64.whl) contrib功能更強大。

拷貝下載的Opencv 3.2模組到Python的安裝目錄C:\Users\Administrator（若不成功根據報錯更改目錄）下，執行  pip install opencv_python-3.2.0-cp35-cp35m-win_amd64.whl

然後程式自動安裝Opencv模組。

測試：

import cv2

img = cv2.imread('1.bmp',0)

cv2.imshow('image',img)

cv2.waitKey(0)

cv2.destroyAllWindows()

6，利用opencv實現人臉檢測

根據官方教程（我進行了一些修改）可以測試如下：

7,Anconda安裝出現問題

>>：python -m pip install --upgrade pip

 “Cannot remove entries from nonexistent file c:\program files\anaconda3\lib\site-packages\easy-install.pth” 的問題。檢視原因是因為setuptools版本太低，tensorflow要求29.0.1，當前版本為27.2.0,在更新setuptools版本的時候又找不到easy-install.pth，導致更新失敗

執行

>>：pip install --upgrade --ignore-installed setuptools，問題解決！

【更改conda安裝源映象】

為了更好安裝包需要制定conda安裝包所使用的映象為中國的映象，目前為止只有一家提供了映象

執行conda命令：

1. conda config  

更換安裝源映象，清華大學有提供映象具體更換方法有如下：

1. conda config --add channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'  

1. conda config --set show_channel_urls yes  

然後你的.condarc 檔案應該是這樣的內容

把defaults那一行刪除就可以了，問題解決！

或 更改pip的預設源

Python開發安裝包時，使用pip進行包安裝非常方便。但pip預設的源伺服器在國外，下載非常慢，而且經常出現下載後安裝出錯問題。因此，有必要更換為國內的pypi源。

對於windows來說，直接在當前使用者目錄下新建一個pip.ini檔案，例如：c:\Users\Luoge\pip.ini

pip.ini的檔案內容如下：

[global] index-url = http://mirrors.aliyun.com/pypi/simple/[install] trusted-host=mirrors.aliyun.com

上面是將源更換為了阿里雲的源（阿里爸爸牛逼！~），輸入完成後，記得儲存。

*******Tip*****************************

安裝特定版本：

pip install tensorflow==1.2.0

升級到最新版本：

pip install --upgrade tensorflow

獲取tensorflow版本號：

在idle命令列中輸入import tensorflow——》回車——》tensorflow.__version__    （注意是雙下劃線）

8,安裝keras

Keras 框架搭建

安裝

在CMD命令列或者Powershell中輸入：

# GPU 版本>>> pip install --upgrade tensorflow-gpu# CPU 版本>>> pip install --upgrade tensorflow# Keras 安裝>>> pip install keras -U --pre

之後可以驗證keras是否安裝成功,在命令列中輸入Python命令進入Python變成命令列環境：

>>> import kerasUsing Tensorflow backend.I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cublas64_80.dll locallyI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cudnn64_5.dll locallyI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cufft64_80.dll locallyI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library nvcuda.dll locallyI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library curand64_80.dll locally>>>

沒有報錯，那麼Keras就已經成功安裝了

• Keras中mnist資料集測試 下載Keras開發包

>>> conda install git>>> git clone https://github.com/fchollet/keras.git>>> cd keras/examples/>>> python mnist_mlp.py

程式無錯進行，至此，keras安裝完成。