Caffe Installation

以下安装步骤针对将所有依赖软件和caffe都安装在自己的 linux 账户下, 除了cuda/6.5

首先安装 boost,

Boost

1. download boost.tar.gz (google boost library)2. tar -zxvf boost.tar.gz  3. cd boost4. ./bootstrap.sh5. mkdir build6. ./b2 install --prefix=/your/path/boost/build/ 

然后在 ~/.bashrc 中加入

boost (self-built)export PATH=/your/path/boost/:$PATHexport LD_LIBRARY_PATH=/your/path/boost_1_55_0/build/lib/:$LD_LIBRARY_PATHexport LIBRARY_PATH=/your/path/boost_1_55_0/build/lib/:$LIBRARY_PATHexport C_INCLUDE_PATH=/your/path/libs/boost_1_55_0/build/include/:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/boost_1_55_0/build/include/:$CPLUS_INCLUDE_PATH

Path links /bin dir, LD_LIBRARY_PATH, LIBRARY_PATH link /lib dir, C_INCLUDE_PATH and CPLUS_INCLUDE_PATH link /include dir

Cmake

解压好，然后在 ~/.bashrc 里link path就好

#cmakeexport PATH=/your/path/cmake_3_1_3/bin:$PATH

gflags

1. download and tar -zxvf2. cd gflags3. mkdir build & cd build4. cmake .. -DCMAKE_INSTALL_PREFIX=/your/path/gflags/build5. make6. make install

然后在 ~/.bashrc 中加入

#gflagsexport PATH=/your/path/gflags-2.1.1/build/bin:$PATHexport LD_LIBRARY_PATH=/your/path/gflags-2.1.1/build/lib/:$LD_LIBRARY_PATHexport LIBRARY_PATH=/your/path/gflags-2.1.1/build/lib/:$LIBRARY_PATHexport C_INCLUDE_PATH=/your/path/gflags-2.1.1/build/include/:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/gflags-2.1.1/build/include/:$CPLUS_INCLUDE_PATH

在编caffe时，发现它会报错，说需要用 -fPIC 的命令
所以在 gflags 里的CMakelist.txt里加

set(CMAKE_CXX_FLAGS “-fPIC”)

Protobuf-2.6.1

1. download and tar -zxvf3. mkdir build5. ./configure --prefix=/your/path/gflags/build6. make7. make check8. make install

然后在 ~/.bashrc 中加入

#protobufexport PATH=/your/path/protobuf-2.6.1/build/bin:$PATH export LD_LIBRARY_PATH=/your/path/protobuf-2.6.1/build/lib/:$LD_LIBRARY_PATH  export LIBRARY_PATH=/your/path/protobuf-2.6.1/build/lib/:$LIBRARY_PATH export C_INCLUDE_PATH=/your/path/protobuf-2.6.1/build/include/:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/protobuf-2.6.1/build/include/:$CPLUS_INCLUDE_PATH     

glog_0.3.3

snapply

the same as protobuf

pip

[1] cd ${HOME}[2] mkdir pip[3] cd pip/[4] wget https://bootstrap.pypa.io/get-pip.py[5] python get-pip.py --user

.bashrc
export PATH=/home/ywchao/.local/bin:$PATH

Install python libraries[1] pip install --user six[2] pip install --user scikit-image[3] pip install --user scipy[4] pip install --user protobuf[5] pip install --user pyyaml

lmdb

1. download from https://gitorious.org/mdb/mdb/source/3368d1f5e243225cba4d730fba19ff600798ebe3:libraries/liblmdb2.  cd liblmdb3. make

.bashrc

export PATH=/your/path/prerequisites/liblmdb:$PATHexport LD_LIBRARY_PATH=/your/path/prerequisites/liblmdb:$LD_LIBRARY_PATHexport LIBRARY_PATH=/your/path/prerequisites/liblmdb:$LIBRARY_PATHexport C_INCLUDE_PATH=/your/path/prerequisites/libmdb:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/prerequisites/liblmdb:$CPLUS_INCLUDE_PATH

hdf5

1. download from http://www.hdfgroup.org/HDF5/release/obtainsrc.html#conf2. cd hdf53. ./configure --prefix=/home/your/path4. make all5. make check6. make install  

.bashrc

export PATH=/your/path/prerequisites/hdf5-1.8.14/bin:$PATHexport LD_LIBRARY_PATH=/your/path/prerequisites/hdf5-1.8.14/lib:$LD_LIBRARY_PATHexport LIBRARY_PATH=/your/path/prerequisites/hdf5-1.8.14/lib:$LIBRARY_PATHexport C_INCLUDE_PATH=/your/path/prerequisites/hdf5_1.8.14/include:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/prerequisites/hdf5-1.8.14/include:$CPLUS_INCLUDE_PATH

leveldb

1. download 2. cd leveldb4. make all5. make check6. make install  

.bashrc

#leveldbexport PATH=/your/path/prerequisites/leveldb-1.15.0:$PATH    export LD_LIBRARY_PATH=/your/path/prerequisites/leveldb-1.15.0:$LD_LIBRARY_PATH     export LIBRARY_PATH=/your/path/prerequisites/leveldb-1.15.0:$LIBRARY_PATH    export C_INCLUDE_PATH=/your/path/prerequisites/hdf5_1.8.14/include:$C_INCLUDE_PATHexport CPLUS_INCLUDE_PATH=/your/path/prerequisites/leveldb-1.15.0/include:$CPLUS_INCLUDE_PATH

MKL

在 https://software.intel.com/en-us/intel-education-offerings 注册student账号，然后点击收到邮件的链接即可
进去后直接按步骤安装就好，其中需选择不覆盖原文件
mkl 在

opencv ###

download opencv-2.4.10

1. mkdir build2.  cmake .. -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/your/path/prerequisites/opencv-2.4.10/build/ -DBUILD_PYTHON_SUPPORT=ON3. make4. make all

目前会报错

---

---

make matcaffe 报错

在 make matcaffe 的时候，会出现 boost 报错
解决的办法是：
在 Makefile.config 里的 LIBRARY_DIRS 里加入 boost 的 lib, 这样在 Makefile 里也会出现 boost

LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /your/path/prerequisites/boost_1_55_0/build/lib