虚拟机Ubuntu16，caffe环境搭建

虚拟机下的Ubuntu16.04+caffe+onlycup

官网的step很重要，要跟着官网，的步骤来：http://caffe.berkeleyvision.org/installation.html

然后对照：http://blog.csdn.net/firethelife/article/details/51926754

======================【关于注意和报错】===================

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caffe下make 的时候遇到的一些找不到ldhf5之类的错误，则要安装libhdf5,如下解决：

sudo apt-get install libhdf5-dev

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【http://www.linuxidc.com/Linux/2016-07/132860.htm】

首先安装必要的库，有的依赖库我是已经安装过的，具体安装的先后关系已经忘了。如果出现有些依赖关系不满足的错误，可以再安装库：

$ sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev    # 必要的基本库

根据上面的链接下载OpenCV3.1.0版本，并进行解压，解压之后进入安装文件目录:

$ cd opencv-3.1.0
$ mkdir build          #创建build文件夹
$ cd opencv-3.1.0/build
$ cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..  

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OpenBLAS：

The default directory is /opt/OpenBLAS /*这个是默认安装路径*/

$ git clone https://github.com/xianyi/OpenBLAS.git

【http://www.linuxdiyf.com/linux/15610.html】

则需要安装，安装的步骤如下：

（1）git clone https://github.com/xianyi/OpenBLAS.git

（2）cd OpenBLAS

（3）make FC=gfortran （如果没有安装gfortran,执行sudo apt-get install gfortran）

(4) make install (将OpenBLAS安装到/opt下)

装好后，对应 caffe下Makefile.config修改如下：

# BLAS choice:

# atlas for ATLAS (default)

# mkl for MKL

# open for OpenBlas

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 := /opt/OpenBLAS/include

BLAS_LIB := /opt/OpenBLAS/lib

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caffe，，，make 的时候会发生一些错误，查看caffe下Makefile.config，修改：

# 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/

其中：/usr/include/hdf5/serial/是hdf5的位置。

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【http://blog.csdn.net/lanxuecc/article/details/51997919】

runtest时会报一个错：：build_release/tools/caffe: error while loading shared libraries: libopenblas.so.0: cannot open shared object file: No such file or directory，解决方法：在/usr/lib/下建立一个 软链接将 libopenblas.so.0指向/openbls安装目录/lib/ libopenblas.so.0

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在/usr/lib/下建立一个 软链接将 libopenblas.so.0指向/openbls安装目录/lib/ libopenblas.so.0

ln -s /opt/OpenBLAS/lib/libopenblas.so.0 /usr/lib/libopenblas.so.0

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============= caffe下Makefile.config最终的样子如下==================

## Refer to http://caffe.berkeleyvision.org/installation.html

# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).

# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).

CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

# USE_OPENCV := 0

# USE_LEVELDB := 0

# USE_LMDB := 0

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)

# You should not set this flag if you will be reading LMDBs with any

# possibility of simultaneous read and write

# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3

OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following.

# N.B. the default for Linux is g++ and the default for OSX is clang++

# CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need.

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 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_50,code=compute_50

# BLAS choice:

# atlas for ATLAS (default)

# mkl for MKL

# open for OpenBlas

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 := /opt/OpenBLAS/include

BLAS_LIB := /opt/OpenBLAS/lib

# Homebrew puts openblas in a directory that is not on the standard search path

# BLAS_INCLUDE := $(shell brew --prefix openblas)/include

# BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface.

# MATLAB directory should contain the mex binary in /bin.

# MATLAB_DIR := /usr/local

# MATLAB_DIR := /Applications/MATLAB_R2012b.app

# 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

# Anaconda Python distribution is quite popular. Include path:

# Verify anaconda location, sometimes it's in root.

ANACONDA_HOME := $(HOME)/anaconda2

PYTHON_INCLUDE := $(ANACONDA_HOME)/include \

$(ANACONDA_HOME)/include/python2.7 \

$(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

# Uncomment to use Python 3 (default is Python 2)

# PYTHON_LIBRARIES := boost_python3 python3.5m

# PYTHON_INCLUDE := /usr/include/python3.5m \

# /usr/lib/python3.5/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.

PYTHON_LIB := /usr/lib

#PYTHON_LIB := $(ANACONDA_HOME)/lib

# Homebrew installs numpy in a non standard path (keg only)

# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include

# PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs)

# WITH_PYTHON_LAYER := 1

# 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/

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies

# INCLUDE_DIRS += $(shell brew --prefix)/include

# LIBRARY_DIRS += $(shell brew --prefix)/lib

# Uncomment to use `pkg-config` to specify OpenCV library paths.

# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)

# USE_PKG_CONFIG := 1

# N.B. both build and distribute dirs are cleared on `make clean`

BUILD_DIR := build

DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171

# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.

TEST_GPUID := 0

# enable pretty build (comment to see full commands)

Q ?= @

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感想：在Windows和虚拟机Ubuntu16下都搭好了环境了，好想大声喊一句：鬼知道我这四天经历了什么。。。。幸好你没有放弃！！！

花了2天的时间明白：cuda是英伟达的显卡，而我的机子是【计算机右键-属性-适配器-（最后一项）显示适配器：AMD】AMD的，所以装了cuda进不去Ubuntu的图形界面，在这里开启了各种重装的坎坷路程。。。。整整话了两天啊。。。我的妈呀！！！幸好，坚持了下来！！：）加油。