依次按照一下命令安装:

    

 1 sudo apt-get install libprotobuf-dev 
 2 sudo apt-get install libleveldb-dev 
 3 sudo apt-get install libsnappy-dev 
 4 sudo apt-get install libopencv-dev 
 5 sudo apt-get install libhdf5-serial-dev 
 6 sudo apt-get install protobuf-compiler
 7 sudo apt-get install --no-install-recommends libboost-all-dev
 8 sudo apt-get install libatlas-base-dev
 9 sudo apt-get install python-dev
10 sudo apt-get install libgflags-dev
11 sudo apt-get install libgoogle-glog-dev 
12 sudo apt-get install liblmdb-dev

2.下载caffe源码

  在github上下载

  

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

 

  接着装caffe要求装的一些依赖库(如requirements.txt【$caffe_root/python】中的内容所示):

Cython>=0.19.2
numpy>=1.7.1
scipy>=0.13.2
scikit-image>=0.9.3
matplotlib>=1.3.1
ipython>=3.0.0
h5py>=2.2.0
leveldb>=0.191
networkx>=1.8.1
nose>=1.3.0
pandas>=0.12.0
python-dateutil>=1.4,<2
protobuf>=2.5.0
python-gflags>=2.0
pyyaml>=3.10
Pillow>=2.3.0
six>=1.1.0

  可以自己一个一个装,也可以通过以下命令:

1 pip install -r requirements.txt

3.编译caffe

  3.1 使用Cmake编译

    进入caffe根目录,创建一个build文件夹并进入

 

1 mkdir build && cd build

 

      进行cmake

cmake -DCPU_ONLY=1 .. 

      接着make

make -j"$(nproc)"

   3.2 使用make编译(我使用的这种)

    首先因为我们需要的是CPU版本的caffe,因此需要对Makefile进行修改,我们先创建一个副本

 

1 cp Makefile.config.example Makefile.config

 

      接着对内容进行修改

     我们去掉CPU_ONLY前面的注释

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

修改为

# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1

 

 

 

 

 

    接着python的文件路径需要我们修改

 

# 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

修改为

PYTHON_INCLUDE := /usr/include/python2.7 \
        /usr/local/lib/python2.7/dist-packages/numpy/core/include

 

      hdf5库的路径也需要添加

 

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

修改为

# 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

 

      同时Makefile中的关于hdf5的内容也需要修改

 

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5

修改为

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial

 

      不然可能会出现以下错误

 

/usr/bin/ld: cannot find -lhdf5_hl
/usr/bin/ld: cannot find -lhdf5
collect2: error: ld returned 1 exit status

 

      接着开始编译过程

 

make pycaffe
make all
make test
make runtest

 

      可在其后加上-j"$(nproc)"以加快速度

     可能在进行make runtest时出现一些错误,但若前三个命令没有错误出现,就不妨碍使用(暂时没发现什么妨碍的地方)

 

4.配置环境变量

  在.bashrc中配置环境变量

  

sudo gedit ~/.bashrc

 

  在后面加上

 

export PYTHONPATH=/your path/caffe/python:$PYTHONPATH

 

  接着

 

source ~/.bashrc

 

5.测试

 

Python 2.7.12 (default, Dec  4 2017, 14:50:18) 
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import caffe
>>> dir(caffe)
['AdaDeltaSolver', 'AdaGradSolver', 'AdamSolver', 'Classifier', 'Detector', 'Layer', 'NCCL', 'NesterovSolver', 'Net', 'NetSpec', 'RMSPropSolver', 'SGDSolver', 'TEST', 'TRAIN', 'Timer', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', '__version__', '_caffe', 'classifier', 'detector', 'get_solver', 'has_nccl', 'init_log', 'io', 'layer_type_list', 'layers', 'log', 'net_spec', 'params', 'proto', 'pycaffe', 'set_device', 'set_mode_cpu', 'set_mode_gpu', 'set_multiprocess', 'set_random_seed', 'set_solver_count', 'set_solver_rank', 'solver_count', 'solver_rank', 'to_proto']
>>> 

 

  没问题,OK~

 

官方github:https://github.com/BVLC/caffe

官方安装文档:http://caffe.berkeleyvision.org/installation.html

参考:https://blog.csdn.net/muzilinxi90/article/details/53673184