在安装完opencv-python的部署后（# pip install -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn opencv-python）
1.安装numpy,scipy,pandas,matplotlib,sklearn:
sudo apt-get install python-numpy
sudo apt-get install python-scipy
sudo apt-get install python-pandas
sudo apt-get install python-matplotlib
sudo apt-get install python-sklearn
2.安装python版本
sudo apt-get python-pip
sudo apt-get python3-pip
*pip升级后报错处理
wget https://bootstrap.pypa.io/pip/3.5/get-pip.py
python3 get pip.py
sudo python -rm pip install --upgrade --force pip
sudo pip install setuptools==40.8.0
*如果升级后提示pip3：No such file or..
hash -r
pip3 -V
pip install virtualenv
sudo easy_install virtualenvwrapper
*解决3.5.2与virtualenv版本兼容
pip3 uninstall virtualenv
pip3 install virtualenv==16.6.0
*创建python虚拟环境
mkdir ~/vir
cd vir
*创建python3虚拟环境
virtualenv -p /usr/bin/python3.5 test1
cd ~/vir
source ./test1/bin/activate
decactivate
*配置环境变量
mkdir $HOME/.local/virtualenvs
vim ~/.bashrc
最后一行添加
export VIRTUALENV_USE_DISTRIBUTE=1
export WORKON_HOME=$HOME/.localirtualenvs
if [ -e $HOME/.local/binirtualenvwrapper.sh ];then
source $HOME/.local/binirtualenvwrapper.sh
else if [ -e /usr/local/binirtualenvwrapper.sh ];then
source /usr/local/binirtualenvwrapper.sh
fi
fi
export PIP_VIRTUALENV_BASE=$WORKON_HOME
export PIP_RESPECT_VIRTUALENV=true
*保存退出脚本后，再输入一下命令
source ~/.bashrc
source /usr/local/bin/virtualenvwrapper.sh
以上是经过操作总结出来的，感谢借鉴。
