caffe学习笔记（1）安装 - Ubuntu 15.04

官方安装手册

备注：使用系统 - Ubuntu 15.04 64位操作系统（若系统位于虚拟机上，在安装CUDA后，Ubuntu将无法进入图形界面）

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//准备工作：CUDA,OpenBLAS/ATLAS,Boost, protobuf，OpenCV, Python

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方法一：

Ubuntu系统上安装caffe官方手册（第一次安装时竟没看到这个神器。。。）

0. 基本依赖项

$sudo apt-get install libprotobuf-dev  libleveldb-dev  libsnappy-dev  libopencv-dev  libhdf5-serial-dev  protobuf-compiler

$sudo apt-get install --no-install-recommends  libboost-all-dev

1. CUDA（使用方法二安装）

2. BLAS

若选择使用ATLAS:$sudo apt-get install libatlas-base-dev(安装较方便)

若选择使用OpenBLAS 则参考方法二安装；

3. Python（可选）

若需要使用Python，则$sudo apt-get install python-dev 安装pycaffe接口的Python头文件；

+方法二中的Python安装；

4. 剩余依赖项 （14.04及以上）

$sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

方法二：（因为系统空间问题失败。。。）

0. CUDA - 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题

download

0.1 选择操作系统和安装类型

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" 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0.2 deb(network)方式的安装

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alt="" width="440" height="171" />

下载上图所示软件到Ubuntu中；

执行后面3行命令即可；

1. OpenBLAS - 基础线性代数子程序库，里面拥有大量已经编写好的关于线性代数运算的程序

download

1.1 下载.zip / .tar.gz文件，解压；

1.2 安装命令

$sudo make

$sudo make PREFIX=/path/to/your/installation install

[1.3 将生成的.so库文件放入系统/lib文件夹中]（可选步骤）；

2. Boost库-为C++语言提供的扩展的C++程序库

download

方法一：（失败）

2.1 下载boost_1_60_0.tar.gz文件，解压；

2.2 安装命令

执行$sudo ./bootstrap.sh 编译成功；

执行$sudo ./bjam 开始编译，大约十几分钟，编译完成后出现：The Boost C++ Libraries were successfully built!

方法二：

直接执行命令：

$apt-cache search boost ：搜索所有的boost库

$sudo apt-get install libboost-all-dev：安装相应的库

2.3 测试代码：利用boost库将字符串转换成整数

 #include<iostream>
 #include<boost/lexical_cast.hpp>
 int main()
 {
    int a = boost::lexical_cast<int>("");
    std::cout << a <<std::endl;
    return ;
 }

3. protobuf - protocol buffer：google的一种数据交换的格式

方法一：根据源码安装（失败）

download

3.1 下载，并解压；

3.2 安装命令

C++下安装指南

安装编译工具$sudo apt-get install autoconf automake libtool curl

执行$./autogen.sh 生成configure脚本；

失败未解决：

提示 - Google Mock not present.  Fetching gmock-1.7.0 from the web... 未成功

解决：是否需要安装Google Mock？Google Mock安装指南

开始编译：

$./configure

$make

$make check

$sudo make install

$sudo ldconfig # refresh shared library cache.

方法二：（成功）

sudo apt-get install protobuf-compiler

4. OpenCV（安装时间较长）

利用自动脚本安装（脚本地址）

Ubuntu执行：

$cd Ubuntu

$chmod +x *

$./opencv_latest.sh

5. Python（安装时间较长）

Ubuntu中缺省安装了Python;

执行$sudo apt-get install python-pip 安装pip（Python的一个安装和管理扩展库的工具）；

下载caffe,解压，再进入python文件夹下，执行$ for req in $(requirements.txt); do pip install $req; done 操作，安装caffe中对Python的依赖项；

/*****************************/

//安装caffe

/****************************/

download

关键在于正确配置Makefile.config文件：

cp Makefile.config.example Makefile.config

根据情况修改配置：

CUDA_DIR;

BLAS:=open;（使用OpenBLAS）

未使用python接口则将对应的参数注释掉；

INCLUDE_DIRS和LIBRARY_DIRS下需要加入caffe所需要的所有头文件和库目录的文件夹地址；

配置完成后，执行命令：（这部分操作中使用的是cmake）

$make all - 编译生成caffe的库文件_caffe.so