https://github.com/zhaoj9014/install-caffe-on-ubuntu14.04

https://github.com/zhaoj9014/install-caffe-on-ubuntu14.04

Last synced: 8 months ago
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• Host: GitHub
• URL: https://github.com/zhaoj9014/install-caffe-on-ubuntu14.04
• Owner: ZhaoJ9014
• Created: 2017-03-26T02:36:29.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-26T12:58:38.000Z (over 8 years ago)
• Last Synced: 2025-01-03T14:50:34.686Z (9 months ago)
• Size: 4.88 KB
• Stars: 49
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Install-Caffe-on-Ubuntu14.04

The python version is the default version 2.7

1. Install Nvidia driver

sudo add-apt-repository ppa:graphics-drivers/ppa

sudo apt-get update

sudo apt-get install nvidia-378 nvidia-settings nvidia-prime

sudo reboot

prime-select query

cat /proc/driver/nvidia/version

2. Install Cuda8.0

download Cuda8.0 from https://developer.nvidia.com/cuda-downloads

sudo dpkg -i cuda-repo-ubuntu1404-8-0-local-ga2_8.0.61-1_amd64.deb

sudo apt-get update

sudo apt-get install cuda

export PATH=/usr/local/cuda-8.0/bin:$PATH 

export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH 

sudo ln -sf /usr/local/cuda-8.0/lib64 /usr/local/lib

sudo apt-get install nvidia-378

3. Install Cudnn5.1

downnload Cudnn5.1 from https://developer.nvidia.com/rdp/cudnn-download

cd /path/to/cuda/include

sudo cp cudnn.h /usr/local/include

cd /path/to/cuda/lib64

sudo cp libcudnn.so.5.1.10 /usr/local/lib

sudo ln -s /usr/local/lib/libcudnn.so.5.1.10 /usr/local/lib/libcudnn.so.5.1

sudo ln -s /usr/local/lib/libcudnn.so.5.1 /usr/local/lib/libcudnn.so

sudo ldconfig

cd /usr/local/lib

sudo chmod 755 libcudnn.so.5.1.10

4. Install Anaconda2

download https://anaconda.org/

./Anaconda-2.3.0-Linux-x86_64.sh

export PATH=~/anaconda2/bin:$PATH

conda update conda

conda install accelerate

conda install iopro

mv LICENSE.txt ~/.continuum

conda update ipython

conda update ipython-notebook

conda update ipython-qtconsole

5. Install Opencv2.4.11

download https://github.com/Itseez/opencv/archive/2.4.11.zip 

sudo apt-get install build-essential

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

cd ~/opencv-2.4.11

mkdir release 

cd release

$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..

make

sudo make install

cd ..

touch opencv.sh

input the following contents:

echo "compiling $1"

if [[ $1 == *.c ]]

then

    gcc -g `pkg-config --cflags opencv`  -o `dirname $1`/`basename $1 .c` $1 `pkg-config --libs opencv`;

elif [[ $1 == *.cpp ]]

then

    g++ -g `pkg-config --cflags opencv` -std=c++11 -std=gnu++11 -o `dirname $1`/`basename $1 .cpp` $1 `pkg-config --libs opencv`;

else

    echo "Please compile only .c or .cpp files"

fi

echo "Output file => ${1%.*}"

sudo chmod 777 opencv.sh

vim ~/.bashrc

input the following contents:

alias opencv="~/opencv-2.4.11/opencv.sh"

source ~/.bashrc

5. Install Matlab R2015b

download Matlab R2015b from https://pan.baidu.com/s/1gf9IeCN, password: 4gj3

sudo mkdir /media/matlab

sudo mount -o loop R2015b_glnxa64.iso /media/matlab

cd /media/matlab

sudo ./matlab

input the activation key in Crack/readme.txt

import the activation file in Crack/*.lic

sudo unmount /media/matlab

6. Install MKL

download MKL from https://registrationcenter.intel.com/en/products/postregistration/?sn=33RM-2LTPC8PF&EmailID=zhaojian9014%40gmail.com&Sequence=1864378&dnld=r

install

sudo vim /etc/ld.so.conf.d/intel_mkl.conf

input the following contents:

/opt/intel/lib/intel64

/opt/intel/mkl/lib/intel64

sudo ldconfig

7. Install OpenBlas

download OpenBlas from http://www.openblas.net/

make -j 8

make install PREFIX=OpenBlas_directory

export LD_LIBRARY_PATH=OpenBlas_directory/lib

8. Install Atlas

sudo apt-get install libatlas-base-dev

9. Install Boost

sudo apt-get install libboost-all-dev

10. Install other dependencies

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler

sudo apt-get install --no-install-recommends libboost-all-dev

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

11. Custom your Caffe makefile.config

12. Compile Caffe

make all -j 8

make test -j 8

make runtest -j 8

make pycaffe -j 8

make matcaffe -j 8