Caffe Beginner Part II: Detailed procedure for installing Caffe (CPU) +matlab2014a+opencv3 on Ubuntu16.04 (pro-Test success, 20180529 update)

This is the second part of the Caffe Beginner series , designed to help more students who are interested in deep learning! The first section can refer to the following address:

Caffe Beginner First: Detailed procedure for installing Caffe (CPU) +python on Ubuntu14.04 (pro-Test success, 20180524 update)

OK, let's start our tutorial!

Objective:

Before the first tutorial published, very popular, it seems that my efforts have not been wasted, after all, I spent a few hours writing blog, thank the students for their support ^_^

Pro-Test Tutorials:

The files to be prepared for this tutorial are: Ubuntu16.04, Opencv3 (necessary), matlab2014a.

(1) Ubuntu16.04 I downloaded the Kylin version, the installation tutorial can refer to the following blog:

78887768

Ubuntu16.04 Direct copy to Thunderbolt can be downloaded:

Http://cdimage.ubuntu.com/ubuntukylin/releases/16.04/release/ubuntukylin-16.04.4-desktop-amd64.iso

(2) Opencv3 installation (necessary), refer to the following blog:

74857467

(3) matlab2014a installation, refer to the following blog:

Https://www.cnblogs.com/nowornever-L/p/5649078.html

At this point, students you should install the above environment, the next step into our exciting moment!

STEP1: Open terminal, enter:

sudo apt-get update

STEP2: Install the necessary dependencies:

sudo apt-get install git sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev Libopencv-dev libhdf5-serial-d EV protobuf-compiler sudo apt-get install build-essential sudo apt-get install--no-install-recommends Libboost-all-dev s Udo Apt-get Install Libatlas-base-dev sudo apt-get install Libgflags-dev libgoogle-glog-dev Liblmdb-dev

STEP3: The official website pulls the source code:

Cdgit Clone Https://github.com/BVLC/caffe.git

Note The third step if the terminal download is too slow, the URL can be

Https://github.com/BVLC/caffe.git

Copy to the browser address bar, then manually click the download Zip package, "Caffe-master.zip", then extract to the home folder, the extracted folder renamed to "Caffe-matlab".

STEP4: The second part of the installation depends on:

sudo apt-get install Libblas-dev liblapack-dev libatlas-base-dev gfortran python-numpy sudo apt-get install python-pip Sud o apt-get install python-numpy python-scipy python-matplotlib python-sklearn sudo apt-get install python-skimage python-h 5py python-protobuf python-leveldb sudo apt-get install python-networkx python-nose python-pandas sudo apt-get install PYT Hon-gflags cython ipython sudo pip install--upgrade matplotlib sudo apt-get update

STEP5: Modify the Makefile.config configuration file:

CD caffe-matlabcp Makefile.config.example Makefile.configsudo gedit makefile.config

Modified 4:

Open "cpu_only" and change it to:

Cpu_only: = 1

Open "opencv_version" and change it to:

Opencv_version: = 3

The MATLAB path is configured, change to;

Matlab_dir: =/usr/local/matlab/r2014a

To configure the include path, change to:

Include_dirs: = $ (python_include)/usr/local/include/usr/include/hdf5/seriallibrary_dirs: = $ (PYTHON_LIB)/usr/local /lib/usr/lib/usr/lib/x86_64-linux-gnu/hdf5/serial

STEP6: Modify the Makefile file:

sudo gedit Makefile

Under Cxxflags + =-MMP-MP Add:

Cxxflags + =-std=c++11

Will:

Nvccflags +=-ccbin=$ (CXX)-xcompiler-fpic $ (common_flags)

To be replaced by:

Nvccflags + =-d_force_inlines-ccbin=$ (CXX)-xcompiler-fpic $ (common_flags)

STEP7: Manually add the environment variable as follows:

Add at the end:

Export path= $PATH:/usr/local/r2014a/binexport ld_library_path=/usr/local/r2014a/sys/os/glnxa64  Export LD_ Preload=/usr/lib/x86_64-linux-gnu/libstdc++.so.6  Export ld_library_path=/usr/lib/x86_64-linux-gnu/:/usr/ local/cuda-8.0/lib64  Export ld_preload=/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64- linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4:/usr/lib/x86_64-linux-gnu/ Libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libfreetype.so.6  

or terminal input directly:

Export path= $PATH:/usr/local/r2014a/binexport ld_library_path=/usr/local/r2014a/sys/os/glnxa64  Export LD_ Preload=/usr/lib/x86_64-linux-gnu/libstdc++.so.6  Export ld_library_path=/usr/lib/x86_64-linux-gnu/:/usr/ local/cuda-8.0/lib64  Export ld_preload=/usr/lib/x86_64-linux-gnu/libopencv_highgui.so.2.4:/usr/lib/x86_64- linux-gnu/libopencv_imgproc.so.2.4:/usr/lib/x86_64-linux-gnu/libopencv_core.so.2.4:/usr/lib/x86_64-linux-gnu/ Libstdc++.so.6:/usr/lib/x86_64-linux-gnu/libfreetype.so.6  

Restart your computer.

STEP8: Compiling and testing:

Make All-j4make Test-j4
Make Runtest-j4make Matcaffe-j4make Distribute
Make Mattest

　　

　　

Caffe Beginner Part II: Detailed procedure for installing Caffe (CPU) +matlab2014a+opencv3 on Ubuntu16.04 (pro-Test success, 20180529 update)