caffeopencvopenblasAnacondaubuntu14.04配置.docx

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-multilibinstall-gfortrain-multilib 安装Anaconda所需要的依赖包：python-dev python-pip2. 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/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.shsudo ./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exportLD_LIBRARY_PATH=/home/username/anaconda/lib:$LD_LIBRARY_PATH4 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（/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 $mkdiropenblas $cdopenblas 然后编译 $make 这个编译是多线程编译。编译好之后安装之 $sudomakeinstall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.configcp 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makeall-j4maketestmakeruntest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 $CAFFE_ROOT./data/mnist/get_mnist.sh然后执行./examples/mnist/create_mnist.sh将数据格式转换为lmdb格式。并将新生成的2个文件mnist-train-lmdb 和 mnist-test-lmdb放于和create_mnist.sh相同目录下。最后执行测试集，指令如下：./examples/mnist/train_lenet.sh到此为止即把caffe的安装测试工作完成了。7.出现的部分问题及解决方法1.在安装过程中出现：linktest.c:(.text.startup+0x55ab): undefined reference to LAPACKE_clagsylinktest.c:(.text.startup+0x55b1): undefined reference to LAPACKE_clagsy_worklinktest.c:(.text.startup+0x55b6): undefined reference to LAPACKE_dlagsylinktest.c:(.text.startup+0x55bb): undefined reference to LAPACKE_dlagsy_worklinktest.c:(.text.startup+0x55c1): undefined reference to LAPACKE_slagsylinktest.c:(.text.startup+0x55c6): undefined reference to LAPACKE_slagsy_worklinktest.c:(.text.startup+0x55cb): undefined reference to LAPACKE_zlagsylinktest.c:(.text.startup+0x55d1): undefined reference to LAPACKE_zlagsy_workcollect2: error: ld returned 1 exit statusmake1: * ./libopenblas_haswell-r0.2.15.so Error 1make1: Leaving directory /usr/local/OpenBLAS-0.2.15/exportsmake: * shared Error 2lpgubuntu:/usr/local/OpenBLAS-0.2.15$ sudo make installgetarch_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(#define SLOCAL_BUFFER_SIZEt%ldn, (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(#define DLOCAL_BUFFER_SIZEt%ldn, (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(#define CLOCAL_BUFFER_SIZEt%ldn, (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(#define ZLOCAL_BUFFER_SIZEt%ldn, (ZGEMM_DEFAULT_Q * ZGEMM_DEFAULT_UNROLL_N * 2 * 2 * sizeof(double); make -j 1 -f Makefile.install installmake1: Entering directory /usr/local/OpenBLAS-0.2.15Generating openblas_config.h in /opt/OpenBLAS/includeGenerating f77blas.h in /opt/OpenBLAS/includeGenerating cblas.h in /opt/OpenBLAS/includeCopying LAPACKE header files to /opt/OpenBLAS/includeCopying the static library to /opt/OpenBLAS/libCopying the shared library to /opt/OpenBLAS/libGenerating OpenBLASConfig.cmake in /opt/OpenBLAS/lib/cmake/openblasGenerating OpenBLASConfigVersion.cmake in /opt/OpenBLAS/lib/cmake/openblasInstall OK!make1: 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 /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 := 1CPU_ONLY := 1# uncomment to disable IO dependencies and corresponding data layersUSE_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 youre using OpenCV 3OPENCV_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# 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 := atlasBLAS := 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/blasBLAS_INCLUDE := /usr/local/OpenBLAS-0.2.15BLAS_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 its 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# Wh