虚拟机Ubuntu16，caffe环境搭建
Posted 北海盗
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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 .. ----------------------------------------------------------------------------------
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
-----\
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
------------------------------------------------------------------------------------
============= 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。
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