一、Openface环境搭建
系统:Ubuntu 14.04 64位桌面操作系统
参考:http://cmusatyalab.github.io/openface/setup/
1、Ubuntu切换root用户
此处不详述,如果要用普通用户,请自行测试。
参考文章:
http://blog.youkuaiyun.com/itas109/article/details/50679251
2、安装前准备工作
安装必要的程序,可以用下面的批处理,也可以一个一个的进行安装。
sudo apt-get install build-essential -y
sudo apt-get install cmake -y
sudo apt-get install curl -y
sudo apt-get install gfortran -y
sudo apt-get install git -y
sudo apt-get install libatlas-dev -y
sudo apt-get install libavcodec-dev -y
sudo apt-get install libavformat-dev -y
sudo apt-get install libboost-all-dev -y
sudo apt-get install libgtk2.0-dev -y
sudo apt-get install libjpeg-dev -y
sudo apt-get install liblapack-dev -y
sudo apt-get install libswscale-dev -y
sudo apt-get install pkg-config -y
sudo apt-get install python-dev -y
sudo apt-get install python-pip -y
sudo apt-get install wget -y
sudo apt-get install zip –y
3、安装必要的库
pip2 install numpy scipy pandas
pip2 install scikit-learn scikit-image
4、安装Torch
a.安装依赖
curl -s https://raw.githubusercontent.com/torch/ezinstall/master/install-deps | bash -e
b.安装
git clone https://github.com/torch/distro.git ~/torch –recursive
cd ~/torch && ./install.sh
c.安装依赖
命令行,按照需要安装:
~/torch/install/bin/luarocks install dpnn
~/torch/install/bin/luarocks install nn
~/torch/install/bin/luarocks install optim
~/torch/install/bin/luarocks install csvigo
~/torch/install/bin/luarocks install cunn
~/torch/install/bin/luarocks install fblualib
~/torch/install/bin/luarocks install torchx
d.验证是否安装依赖成功
用th命令验证
5、安装opencv
opencv版本为2.4.11,下载地址:https://github.com/Itseez/opencv/archive/2.4.11.zip
编译参考:http://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html
a.指令下载:
cd ~
mkdir -p src
cd src
curl -L https://github.com/Itseez/opencv/archive/2.4.11.zip -o ocv.zip
b.解压:
[cpp] view plain copy
unzip ocv.zip
c.编译:
[cpp] view plain copy
cd opencv-2.4.11
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j8
make install
d.验证
import cv2
6、安装dlib
dlib v18.16下载地址:https://github.com/davisking/dlib/releases/download/v18.16/dlib-18.16.tar.bz2
a.安装编译
mkdir -p ~/src
cd ~/src tar xf dlib-18.16.tar.bz2
cd dlib-18.16/python_examples
mkdir build
cd build
cmake ../../tools/python
cmake –build . –config Release
cp dlib.so /usr/local/lib/python2.7/dist-packages
b.确保
在a中最后一条命令中,确保路径在默认的Python路径,可以在Python解释器里面用sys.path查找
For the final command, make sure the directory is in your default Python path, which can be found withsys.path in a Python interpreter.
c.验证
import dlib
7、Git获取openface
a.下载Openface
git clone https://github.com/cmusatyalab/openface.git
git submodule init
git submodule update
b.在Openface根目录执行
sudo python2 setup.py install
python2一定要确保dlib和opencv安装成功
import cv2
import dlib
c.获取模型
models/get-models.sh
8、运行demo
运行demo1:
./demos/compare.py images/examples/{lennon*,clapton*}
运行demo2:
./demos/classifier.py infer models/openface/celeb-classifier.nn4.small2.v1.pkl ./images/examples/carell.jpg
运行demo3:
./demos/web/start-servers.sh