一.tensorflow的环境
ubuntu16.04的环境、系统自带pythond的环境
1、进入窗口的模式：
输入Python的命令，发现已经存在python。
2、输入以下命令安装pip@H_403_7@

   
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sudo apt-get install python-pip python-dev

3、安装pip@H_403_7@

   
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sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl

此处的链接为：https://github.com/tensorflow/tensorflow寻找自己需要的软件包

会出现如下的错误：
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4、此处需要更新pip@H_403_7@

   
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sulei@sulei:~$ pip install --upgrade pip

5、继续执行上面的命令@H_403_7@

   
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sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl

结果：

安装成功：
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6、测试
进入python@H_403_7@

   
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>>> import tensorflow as tf
>>> hello = tf.constant('Hello,TensorFlow!')
>>> sess = tf.Session()
2017-06-07 22:31:06.638258: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions,but these are available on your machine and could speed up cpu computations.
2017-06-07 22:31:06.638339: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions,but these are available on your machine and could speed up cpu computations.
2017-06-07 22:31:06.638376: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions,but these are available on your machine and could speed up cpu computations.
>>> print sess.run(hello)
Hello,TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print sess.run(a+b)
42

7、IDEA的安装
好用的IDE有很多，本文介绍的是Komodo IDE的免费版Komodo Edit。在Linux下打开它的官网（点击链接http://komodoide.com/download/edit-linux64/#）
下载解压后，进入解压目录；
在终端的命令下进入目录并进行@H_403_7@

   
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sulei@sulei:~/文档/Komodo$ ./install.sh 
nter directory in which to install Komodo. Leave blank and
press 'Enter' to use the default [~/Komodo-Edit-10].
Install directory: 


==============================================================================
Komodo Edit 10 has been successfully installed to:
    /home/sulei/Komodo-Edit-10

You might want to add 'komodo' to your PATH by adding the 
install dir to you PATH. Bash users can add the following
to their ~/.bashrc file:

    export PATH="/home/sulei/Komodo-Edit-10/bin:$PATH"

Or you could create a symbolic link to 'komodo',e.g.:

    ln -s "/home/sulei/Komodo-Edit-10/bin/komodo" /usr/local/bin/komodo

Documentation is available in Komodo or on the web here:
    http://docs.activestate.com/komodo

Please send us any Feedback you have through one of the
channels below:
    komodo-Feedback@activestate.com
    irc://irc.mozilla.org/komodo
    https://github.com/Komodo/KomodoEdit/issues

Thank you for using Komodo.
==============================================================================

根据路径找到这个文件，并打开

进行设置：
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补充：
1、安装virtualenv@H_403_7@

   
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sulei@sulei:~$ sudo pip install virtualenv

2、安装numpy和matplotlib@H_403_7@

   
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sulei@sulei:~$ sudo pip install numpy
sulei@sulei:~$ sudo pip install matplotlib

此处出现matplotlib的安装错误：

如果matplotlib 装不上需要先安装其依赖的包libpng和freetype
安装libpng:@H_403_7@

   
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sudo apt-get install libpng-dev

安装freetype:@H_403_7@

   
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cd ~/Downloads
wget http://download.savannah.gnu.org/releases/freetype/freetype-2.4.10.tar.gz
tar zxvf freetype-2.4.10.tar.gz
cd freetype-2.4.10/
./congfigure
make
sudo make install

安装matplotlib@H_403_7@

   
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sudo pip install matplotlib

安装成功
3、安装OpenCV
下载opencv的发行版源码：@H_403_7@

   
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https://github.com/opencv/opencv/releases/tag/2.4.13.2
tar -vxzf opencv-2.4.13.2.tar.gz
安装编译源码的依赖：
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

进入源码目录并配置：@H_403_7@

   
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cd opencv-2.4.13.2/
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..

编译安装：@H_403_7@

   
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make
sudo make install

进入Python Console，在Python Console中输入：@H_403_7@

   
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import cv2

如果没有报错，则说明opencv安装好了@H_403_7@

@H_403_7@

第一步：安装pip工具

sudo apt-get install python-pip@H_403_7@

第二步：安装tensorflow-cpu版

sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl@H_403_7@

或：sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl@H_403_7@

第三步：打开sublime-text3 使用SFTP连接Ubuntu系统出现如下错误

The SSH host key has changed. This could indicate a potential security breach,or that the domain you are connecting to recently moved servers.If you are confident this is not a security breach you can delete the old host key and try again.1. Win XP: Start > Run > regedit.exe Win Vista/7: Start > regedit2. Expand to HKEY_CURRENT_USER\Software\SimonTatham\PuTTY\SshHostKeys and delete the entry including @22:10.0.83.202@H_403_7@

打开windows7下按步骤打开并删除相应记录@H_403_7@

第四步：linux上测试tensor测试文件

test.py@H_403_7@

import numpy
import tensorflow as tf
hello = tf.constant("hello,tensorflow")
sess = tf.session()
PRint sess.run(hello)
a = tf.constant(10)
b = tf.constant(20)
print sess.run(a+b)