Virtual Machine Ubuntu16,caffe Environment building

Ubuntu16.04+caffe+onlycup under a virtual machine

The official website step is very important, must follow the official website, the step to: http://caffe.berkeleyvision.org/installation.html

Then control: http://blog.csdn.net/firethelife/article/details/51926754

====================== "About attention and error" ===================

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Caffe under make when you encounter some can not find ldhf5 such errors, then to install the LIBHDF5, the following resolution:

sudo apt-get install Libhdf5-dev

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"Http://www.linuxidc.com/Linux/2016-07/132860.htm"

First install the necessary libraries, some rely on the library I have been installed, the specific installation of the relationship has been forgotten. If some dependencies do not meet the error, you can install the library again:

$ 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

Download the OpenCV3.1.0 version according to the link above and unzip it and then go to the installation file directory:

$ 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/* This is the path to install */

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

"Http://www.linuxdiyf.com/linux/15610.html"

You will need to install the following steps:

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

(2) CD Openblas

(3) Make Fc=gfortran (if Gfortran is not installed, execute sudo apt-get install Gfortran)

(4) make install (install Openblas to/opt)

After installation, the corresponding CaffeMakefile.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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Some errors will occur when Caffe,,,make, check Caffe under Makefile.config, modify:

# Whatever Else you find your 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/

Where:/usr/include/hdf5/serial/is the location of HDF5.

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"Http://blog.csdn.net/lanxuecc/article/details/51997919"

Runtest will report a mistake:: Build_release/tools/caffe:error while loading shared libraries:libopenblas.so.0:cannot open shared Object File:no such file or directory, workaround: Create a soft link under/usr/lib/to point libopenblas.so.0 to the/openbls installation directory/lib/libopenblas.so.0

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Create a soft link under/usr/lib/to point libopenblas.so.0 to the/openbls installation directory/lib/libopenblas.so.0
Ln-s/opt/openblas/lib/libopenblas.so.0/usr/lib/libopenblas.so.0

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============= Caffe under Makefile.config最终的样子如下 ==================

# # Refer to Http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system is 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'll be a 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 are 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 is 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's 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'll 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'll compile the Python interface.
# We need to is 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 is 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 (would link against Python libs)
# With_python_layer: = 1

# Whatever Else you find your 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 Depende Ncies
# Include_dirs + = $ (Shell brew--prefix)/include
# Library_dirs + = $ (Shell brew--prefix)/lib

# Uncomment to the use of ' pkg-config ' to specify OpenCV library paths.
# (usually not necessary--OpenCV libraries is normally installed in one of the above $LIBRARY _dirs.)
# Use_pkg_config: = 1

# n.b. Both build and distribute dirs is cleared on ' make clean '
Build_dir: = Build
Distribute_dir: = Distribute

# Uncomment for debugging. Does not work on OS X due to https://github.com/BVLC/caffe/issues/171
# DEBUG: = 1

# The ID of the GPU that's ' make runtest ' would use to run unit tests.
Test_gpuid: = 0

# Enable pretty build (comment to see full commands)
Q? = @

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Impression: In Windows and virtual machine Ubuntu16 under the environment, so I want to shout: Ghosts know what I have experienced this four days .... Fortunately you did not give up!!!

It took 2 days to understand: Cuda is Nvidia's graphics card, and my machine is "computer right button-Properties-adapter-(the last item) display adapter: AMD" AMD, so the Cuda into the Ubuntu not to go to the GUI, here to open a variety of heavy installation bumpy road .... It's been a two-day conversation. Oh my god!!! Fortunately, insisted on down!! :) Come on.

Virtual Machine Ubuntu16,caffe Environment building