CentOS7下安装caffe（包括ffmpeg\boost\opencv）

因为有项目想采用深度学习，而caffe是深度学习框架中比较理想的一款，并且跨平台，以及可以采用python/matlab的方式进行调用等优势，所以想在服务器上安装，下面就开始了血泪史。。。

服务器是阿里云的centos7.3,安装caffe，需要安装ffmpeg，boost，opencv等等。本文依照ffmpeg3.3.2 版，boost为1.64版，opencv为2.4.13.2，caffe的版本为最新版为例来说。

本文主要采用自行编译安装各大软件。

首先安装一些依赖包

 yum install autoconf automake gcc gcc-c++ git libtool make nasm pkgconfig zlib-devel SDL* yasm* python-devel nasm* cmake* git ncurses* *freetype2*

需要提一下，如果将来要采用python调用caffe的话，必须将numpy提前装好，最新的版本为1.13.2， ipython安装5.0版本(python2.7下)

安装Numpy 1.13.2 以及ipython

 pip install numpy
 pip install pandas
 pip install ipython==5.0

ok，装好就可以往下继续安装其他的的包了，先安装ffmpeg

1、安装x264编码器

因为最新版的x264进行编译的时候要求asm的版本较高，此处分享链接

 mkdir build
 cd build
 wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-20120718-2245-stable.tar.bz2
 tar -jxf x264-snapshot-20120718-2245-stable.tar.bz2 cd x264-snapshot-20120718-2245-stable/
 ./configure --prefix="/usr/local/ffmpeg" --bindir="/usr/local/ffmpeg/bin" --enable-static --enable-shared --enable-pic
 make
 make install

2、安装x265编码器

 cd build
 git clone https://github.com/videolan/x265.git
 cd x265/build/linux
 cmake -G "Unix Makefiles" -DCMAKE_INSTALL_PREFIX="/usr/local/ffmpeg/" -DENABLE_SHARED:bool=off ../../source
 make
 make install

3、安装libfdk_acc

 git clone --depth  git://git.code.sf.net/p/opencore-amr/fdk-aac
 cd fdk-aac
 autoreconf -fiv
 ./configure --prefix="/usr/local/ffmpeg" --enable-shared --enable-static --with-pic make
 make install

4、安装libmp3lame

 wget http://iweb.dl.sourceforge.net/project/lame/lame/3.99/lame-3.99.5.tar.gz
 tar zxf lame-3.99..tar.gz
 cd lame-3.99.
 ./configure --prefix="/usr/local/ffmpeg" --bindir="/usr/local/bin" --enable-shared --enable-nasm --enable-static --with-pic
 make
 make install

5、安装libopus

 git clone git://git.opus-codec.org/opus.git
 cd opus
3 ./autogen.sh
 ./configure --prefix="/usr/local/ffmpeg" --enable-shared --enable-static --with-pic
 make
 make install

6、安装libogg库

 curl -O http://downloads.xiph.org/releases/ogg/libogg-1.3.2.tar.gz
 tar xzvf libogg-1.3..tar.gz
 cd libogg-1.3.
 ./configure --prefix="/usr/local/ffmpeg" --enable-shared --enable-static --with-pic
 make
 make install

7、安装libvorbis库

 curl -O http://downloads.xiph.org/releases/vorbis/libvorbis-1.3.4.tar.gz
 tar xzvf libvorbis-1.3..tar.gz
 cd libvorbis-1.3.
 LDFLAGS="-L/usr/local/ffmpeg/lib"
 CPPFLAGS="-I/usr/local/ffmpeg/include"
  ./configure --prefix="/usr/local/ffmpeg" --with-ogg="/usr/local/ffmpeg" --enable-shared --enable-static --with-pic
 make
 make install

8、安装libvps库

 git clone --depth  http://git.chromium.org/webm/libvpx.git
 cd libvpx
 ./configure --prefix="/usr/local/ffmpeg" --enable-examples --enable-shared --enable-static --enable-pic
 make
 make install

9、编译安装ffmpeg

此处我才用的是2.8.12的代码，需要编辑ffplay.c，加上头文件<SDL/SDL_version.h>

修改 /etc/ld.so.conf 添加/usr/local/ffmpeg/lib

 git clone --depth  git://source.ffmpeg.org/ffmpeg
 cd ffmpeg
 export PKG_CONFIG_PATH=/usr/local/ffmpeg/lib/pkgconfig/:/usr/lib64/pkgconfig/:/usr/share/pkgconfig/$PKG_CONFIG_PATH
 ./configure --prefix="/usr/local/ffmpeg" --extra-cflags="-I/usr/local/ffmpeg/include" --extra-ldflags="-L/usr/local/ffmpeg/lib" --bindir="/usr/local/bin" --pkg-config-flags="--static" --enable-gpl --enable-nonfree --enable-libfdk_aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-avresample --enable-pic --enable-static --enable-shared
 make
 make install

10、编译安装boost

 wget https://dl.bintray.com/boostorg/release/1.64.0/source/boost_1_64_0.tar.gz
 tar -zxf  boost_1_64_0.tar.gz
 cd boost_1_64_0
 ./boostrap.sh
 ./b2 install

11、再次安装一些依赖包

 yum install a52dec* giflib* imlib* lame* libICE* libXdmcp* *dc1394* *raw1394* *avc1394* *raw1394*
 yum groupinstall "Development Tools"
 yum install openssl* sqlite* gtk* *java* gstreamer* *v4l* gmp* gimp*  *java* libpng*

12、安装opencv2.4.13.2

 ln -s /usr/include/libv4l1-videodev.h   /usr/include/linux/videodev.h
 echo "/usr/local/ffmpeg/lib" >> /etc/ld.so.conf
 ldconfig
 export C_INCLUDE_PATH=/usr/local/ffmpeg/include/:/usr/include/:$C_INCLUDE_PATH
 export CPLUS_INCLUDE_PATH=/usr/local/ffmpeg/include/:/usr/include/:$CPLUS_INCLUDE_PATH
 export LD_LIBRARY_PATH=/usr/local/ffmpeg/lib/:/usr/loca/lib/:/usr/lib/:$LD_LIBRARY_PATH
 wget https://github.com/opencv/opencv/archive/2.4.13.2.zip
 unzip 2.4.13.2.zip
 cd opencv-2.4.13.2/
 mkdir build
 cmake –D CMAKE_BUILD_TYPE=RELEASE–D CMAKE_INSTALL_PREFIX=./build/ ../opencv-2.4.13.2
 make
 make install

13、再次安装依赖包

 yum install protobuf* leveldb* snappy* hdf5* lmdb* libunwind*
 wget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/google-glog/glog-0.3.3.tar.gz
 tar -zxf glog-0.3..tar.gz
 cd glog-0.3./
 ./configure --enable-static --enable-shared --with-pic
 make
 make install
 wget https://github.com/schuhschuh/gflags/archive/master.zip
 unzip master.zip
 cd gflags-master/
 mkdir build && cd build
 export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=
 make

14、安装BLAS，CBLAS,OpenBLAS

 wget http://www.netlib.org/blas/blas-3.7.1.tgz
 tar -zxf blas-3.7..tgz
 cd BLAS-3.7./
 gfortran -c  -O3   *.f
 ar rv libblas.a      *.o
 wget http://www.netlib.org/blas/blast-forum/cblas.tgz
 tar -zxf cblas.tgz
 cd CBLAS/
 cp Makefile.LINUX Makefile.in
 cp ../BLAS-3.7./libblas.a testing/
 cp lib/cblas_LINUX.a /usr/local/lib/libcblas.a
 cp testing/libblas.a /usr/local/lib/libblas.a
 cp include/cblas.h /usr/local/include/
 wget http://github.com/xianyi/OpenBLAS/archive/v0.2.19.tar.gz
 tar -zxf v0.2.19.tar.gz
 cd OpenBLAS-0.2./
 make
 make PREFIX=/usr/local install
 git clone https://github.com/BVLC/caffe.git
 cd caffe
 cp Makefile.config.example Makefile.config

15、编辑Makefile.config

 CPU_ONLY := 

 # CUDA_DIR := /usr/local/cuda
 # On Ubuntu 14.04, if cuda tools are installed via
 # "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
 # CUDA_DIR := /usr

 # CUDA architecture setting: going with all of them.
 # For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
 # For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
 #CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
 #               -gencode arch=compute_20,code=sm_21 \
 #               -gencode arch=compute_30,code=sm_30 \
 #               -gencode arch=compute_35,code=sm_35 \
 #               -gencode arch=compute_50,code=sm_50 \
 #               -gencode arch=compute_52,code=sm_52 \
 #               -gencode arch=compute_60,code=sm_60 \
 #               -gencode arch=compute_61,code=sm_61 \
 #               -gencode arch=compute_61,code=compute_61

 BLAS := open
 # Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
 # Leave commented to accept the defaults for your choice of BLAS
 # (which should work)!
 BLAS_INCLUDE := /usr/local/include
 BLAS_LIB := /usr/local/lib

16、安装caffe

 cd python
 for req in $(cat requirements.txt); do pip install $req; done
 cd ..
 make all
 make test
 make runtest
 make pycaffe
 cp -r python/caffe/ /usr/lib64/python2./site-packages/
 echo "/root/build/caffe/.build_release/lib" >> /etc/ld.so.conf
 pip uninstall numpy
 wget https://pypi.python.org/packages/1a/5c/57c6920bf4a1b1c11645b625e5483d778cedb3823ba21a017112730f0a12/numpy-1.11.0.tar.gz#md5=bc56fb9fc2895aa4961802ffbdb31d0b
 tar -zxf  numpy-1.11..tar.gz
 cd numpy-1.11.
 python setup.py build
 python setup.py install