1. 准备工作：
yum update
yum groupinstall "Development Tools"
2.安装OpenCV:
yum install cmake python-devel numpy gcc gcc-c++ gtk2-devel libdc1394-devel libv4l-devel ffmpeg-devel gstreamer-plugins-base-devel libpng-devel libjpeg-turbo-devel jasper-devel openexr-devel libtiff-devel libwebp-devel opencv opencv-python opencv-devel
3.查看gcc版本：
g++ --version ----> 如版本大等于4.8.2 可以跳过"步骤4",直接进行"步骤5"
备注：如果不升级gcc,则无法安装dlib库
4.安装C++11（gcc4.8.2）:
4.1 执行如下命令：
wget http://people.centos.org/tru/devtools-2/devtools-2.repo -O /etc/yum.repos.d/devtools-2.repo
sudo yum install devtoolset-2-gcc devtoolset-2-binutils devtoolset-2-gcc-c++
执行成功后，软件将会安装在/opt/rh下
4.2 配置环境变量:
vim /etc/profile
export CC=/opt/rh/devtoolset-2/root/usr/bin/gcc
export CPP=/opt/rh/devtoolset-2/root/usr/bin/cpp
export CXX=/opt/rh/devtoolset-2/root/usr/bin/c++
执行成功后，再次查看gcc版本是否升级：g++ --version
4.3 将安装的目录软链接到local/bin
ln -s /opt/rh/devtoolset-2/root/usr/bin/* /usr/local/bin/
hash -r
5. 安装boost
yum install boost boost-devel boost-doc
6. 安装dlib
pip install dlib
7. 验证dlib安装是否成功
python>>import dlib
如果有报错信息，尝试安装：yum install libXdmcp libXdmcp-devel
8. 安装face_recognition库
pip install face_recognition
9. 安装OpenCV Python API库：cv2
pip install opencv-python
备注：face-recognition要求dlib版本大于等于19.5