caffe+opencv+openblas+Anaconda+ubuntu14.04配置

caffe+opencv+openblas+Anaconda+ubuntu14.04配置

本安装教程主要包含7个部分，包括： 第一部分：安装开发依赖包 第二部分：opencv安装和调试 第三部分：Anaconda安装和调试 第四部分：openblas安装和调试 第五部分：Caffe的安装和测试

第六步分：在minist的数据包上训练测试 第七部分：出现的问题及解决方案

1. 安装开发依赖包

在linux命令行指令中安装开发所需要的一些基本包指令： sudo apt-get install build-essential 安装caffe所需要的一些依赖包：

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler install-gcc-multilib install-gfortrain-multilib 安装Anaconda所需要的依赖包： python-dev python-pip 2. opencv安装和调试

安装opencv时没有手动安装， 采用Github上有人已经写好了完整的安装脚本，选择这个链接https://github.com/jayrambhia/Install-OpenCV，下载后解压，然后进去该目录，选择自己的操作系统，比如我的是Ubuntu，执行 sudo ./dependencies.sh sudo ./open2_4_9.sh

其中第一步是安装依赖项opencv的所有依赖项，该依赖项就在这个dependencies.sh文件中，第二部是安装opencv，包括下载解压存放opencv等操作，这个过程大概一两个小时，慢慢等。 3. Anaconda安装和调试

可以按照官方建议安装anaconda包。 在anaconda官网（https://www.continuum.io/downloads#all）下载.sh文件，切换到文件所在目录，执行.sh文件，最后添加bin目录到环境变量即可。

在/etc/ld.so.conf最后加入以下路径，并没有出现重启不能进入界面的问题/home/username/anaconda/lib 在~/.bashrc最后添加下边路径

export LD_LIBRARY_PATH=\\

4 openblas安装和调试

在官网下载openblas，在这个链接上选择和系统相匹配的版本

（https://launchpad.net/ubuntu/+source/openblas），并解压编译执行，具体步骤如下：

首先建立一个文件夹用来盛放解压后的openblas $mkdir openblas $cd openblas 然后编译 $make

这个编译是多线程编译。编译好之后安装之 $sudo make install 安装后即可。

5. Caffe的安装和测试

将下载后的caffe-master.zip解压，并将解压后的文件放入要存放的目录，进入caffe-master目录， 首先复制一份Makefile.config cp Makefile.config.example Makefile.config 然后修改Makefile.config中的参数： gedit Makefile.config 主要修改的参数如下：

然后编译

make all -j4 make test make runtest

最后看是否能通过编译。

6. 在minist的数据包上训练测试 首先在根目录上获取数据集并解压 cd $CAFFE_ROOT

./data/mnist/get_mnist.sh 然后执行

./examples/mnist/create_mnist.sh

将数据格式转换为lmdb格式。并将新生成的2个文件mnist-train-lmdb 和 mnist-test-lmdb放于和create_mnist.sh相同目录下。 最后执行测试集，指令如下：

./examples/mnist/train_lenet.sh

到此为止即把caffe的安装测试工作完成了。 7.出现的部分问题及解决方法

1.在安装过程中出现：

linktest.c:(.text.startup+0x55ab): undefined reference to `LAPACKE_clagsy'

linktest.c:(.text.startup+0x55b1): undefined reference to `LAPACKE_clagsy_work' linktest.c:(.text.startup+0x55b6): undefined reference to `LAPACKE_dlagsy'

linktest.c:(.text.startup+0x55bb): undefined reference to `LAPACKE_dlagsy_work' linktest.c:(.text.startup+0x55c1): undefined reference to `LAPACKE_slagsy'

linktest.c:(.text.startup+0x55c6): undefined reference to `LAPACKE_slagsy_work' linktest.c:(.text.startup+0x55cb): undefined reference to `LAPACKE_zlagsy'

linktest.c:(.text.startup+0x55d1): undefined reference to `LAPACKE_zlagsy_work' collect2: error: ld returned 1 exit status

make[1]: *** [../libopenblas_haswell-r0.2.15.so] Error 1

make[1]: Leaving directory `/usr/local/OpenBLAS-0.2.15/exports' make: *** [shared] Error 2

lpg@ubuntu:/usr/local/OpenBLAS-0.2.15$ sudo make install getarch_2nd.c: In function ‘main’:

getarch_2nd.c:67:5: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 2 has type ‘unsigned int’ [-Wformat=] printf(\SLOCAL_BUFFER_SIZE\\t%ld\\n\(SGEMM_DEFAULT_Q * SGEMM_DEFAULT_UNROLL_N * 4 * 1 * sizeof(float))); ^

getarch_2nd.c:68:5: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 2 has type ‘unsigned int’ [-Wformat=] printf(\DLOCAL_BUFFER_SIZE\\t%ld\\n\(DGEMM_DEFAULT_Q * DGEMM_DEFAULT_UNROLL_N * 2 * 1 * sizeof(double))); ^

getarch_2nd.c:69:5: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 2 has type ‘unsigned int’ [-Wformat=] printf(\CLOCAL_BUFFER_SIZE\\t%ld\\n\(CGEMM_DEFAULT_Q * CGEMM_DEFAULT_UNROLL_N * 4 * 2 * sizeof(float))); ^

getarch_2nd.c:70:5: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 2 has type ‘unsigned int’ [-Wformat=] printf(\ZLOCAL_BUFFER_SIZE\\t%ld\\n\(ZGEMM_DEFAULT_Q * ZGEMM_DEFAULT_UNROLL_N * 2 * 2 * sizeof(double))); ^

make -j 1 -f Makefile.install install

make[1]: Entering directory `/usr/local/OpenBLAS-0.2.15' Generating openblas_config.h in /opt/OpenBLAS/include Generating f77blas.h in /opt/OpenBLAS/include Generating cblas.h in /opt/OpenBLAS/include

Copying LAPACKE header files to /opt/OpenBLAS/include Copying the static library to /opt/OpenBLAS/lib Copying the shared library to /opt/OpenBLAS/lib

Generating OpenBLASConfig.cmake in /opt/OpenBLAS/lib/cmake/openblas

Generating OpenBLASConfigVersion.cmake in /opt/OpenBLAS/lib/cmake/openblas

Install OK!

make[1]: Leaving directory `/usr/local/OpenBLAS-0.2.15' 这种问题通过以下方法解决：

首先添加依赖库install-gcc-multilib install-gfortran-multilib libopenblas,然后执行make TARGET=BANIS SINARY=32即可解决问题。 2.修改后的gedit Makefile.config的全部文件为

# 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

CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers USE_OPENCV := 1 USE_LEVELDB := 1 USE_LMDB := 1

# 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 := 2.4.9

# 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

# \# 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 := atlas

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 := /path/to/your/blas # BLAS_LIB := /path/to/your/blas

BLAS_INCLUDE := /usr/local/OpenBLAS-0.2.15 BLAS_LIB := /usr/local/OpenBLAS-0.2.15

#export LD_LIBRARY_PATH=/usr/lib/openblas-base/

# 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)/anaconda

# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \\ # $(ANACONDA_HOME)/include/python2.7 \\

# $(ANACONDA_HOME)/lib/python2.7/site-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 LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# 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

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)

百度搜索“77cn”或“免费范文网”即可找到本站免费阅读全部范文。收藏本站方便下次阅读，免费范文网，提供经典小说教育文库caffe+opencv+openblas+Anaconda+ubuntu14.04配置在线全文阅读。