caffe安装和配置基于Ubuntu16.04

本文是在ubuntu16.04安装caffe，由于显卡比较烂，所以采用了CPU-only的安装模式
参考 自caffe

• 1.安装依赖

• 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

• 2.由于是CPU-only，跳过CUDA安装，安装BLAS，CUDA安装见官网

sudo apt-get install libatlas-base-dev

• 3.建立pycaffe接口

sudo apt-get install python-dev

• 4.下载caffe
• 我没有下载git，所以首先下载git:

sudo apt-get install git

• 下载caffe:

git clone https://github.com/BVLC/caffe.git

• 5.切换到caffe下的python目录，安装pip和python依赖库

sudo apt-get install python-pip  for req in $(cat requirements.txt); do pip install $req; done 

• 6.编译Caffe
  切换到caffe目录下，将Makefile.config.example复制并重命名成Makefile.config

cp Makefile.config.example Makefile.config# Adjust Makefile.config (for example, if using Anaconda Python, or if cuDNN is desired)

打开Makefile.config，并找到如下两个地方并修改为下面：

gedit Makefile.config

# Whatever else you find you need goes here.  INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial  LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial 

# NOTE: this is required only if you will compile the python interface.  # We need to be able to find Python.h and numpy/arrayobject.h.  PYTHON_INCLUDE := /usr/include/python2.7 \          /usr/lib/python2.7/dist-packages/numpy/core/include 

之后编译，后面加 -j8会加快编译速度：
make pycaffe
make all
make test
make runtest

• 7.测试
  切换到caffe/python文件目录下，记录下来当前路径(pwd命令)
  并且添加到环境变量：

gedit ~/.bashrc

最后面添加：

export PYTHONPATH=（pwd出来的路径）:$PYTHONPATH  

source ~/.bashrc

生效。
切换到python工作环境：

import caffe

不报错，则成功

---