基于docker的caffe环境搭建方法

apt-get install wget
apt-get install unzip
apt-get install python-pip

mkdir /home/crw/Caffe
cd /home/crw/Caffe

#opencv一句一句的运行
arch=$(uname -m)
if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then flag=1; else flag=0; fi
echo "Installing OpenCV 2.4.9"
mkdir OpenCV
cd OpenCV
sudo apt-get -y install libopencv-dev
sudo apt-get -y install build-essential checkinstall cmake pkg-config yasm
sudo apt-get -y install libtiff4-dev libjpeg-dev libjasper-dev
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev
sudo apt-get -y install python-dev python-numpy
sudo apt-get -y install libtbb-dev
sudo apt-get -y install libqt4-dev libgtk2.0-dev
sudo apt-get -y install libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
wget http://archive.ubuntu.com/ubuntu/pool/multiverse/f/faac/faac_1.28-6.debian.tar.gz
vi /etc/hosts
ifconfig
sudo apt-get -y install x264 v4l-utils ffmpeg
wget -O OpenCV-2.4.9.zip http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip/download
unzip OpenCV-2.4.9.zip
cd opencv-2.4.9
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..
make -j4
sudo make install
sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig
cd ..

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
sudo apt-get install libatlas-base-dev

sudo cp cuda_7.5.18_linux.run /var/lib/docker/aufs/mnt/92562f161e51994949dd8496360265e5d54d32fbe301d693300916cd56d4e0a2/home/crw/Caffe

sudo cp cudnn-7.0-linux-x64-v3.0-prod.tgz /var/lib/docker/aufs/mnt/92562f161e51994949dd8496360265e5d54d32fbe301d693300916cd56d4e0a2/home/crw/Caffe

sudo cp caffe-master.zip /var/lib/docker/aufs/mnt/92562f161e51994949dd8496360265e5d54d32fbe301d693300916cd56d4e0a2/home/crw/Caffe

./cuda_*_linux.run -extract=`pwd`
./NVIDIA-Linux-x86_64-*.run -s --no-kernel-module
./cuda-linux64-rel-*.run -noprompt

tar -xvf cudnn-7.0-linux-x64-v3.0-prod.tgz 
cp cuda/include/cudnn.h /usr/local/cuda/include/
cp cuda/lib64/* /usr/local/cuda/lib64/

cd caffe-15.12.07/
cp Makefile.config.example Makefile.config
vi Makefile.config
make all
make test

cd python/

apt-get install python-pip
for req in $(cat requirements.txt); do pip install $req; done

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

apt-get install python-scipy
for req in $(cat requirements.txt); do pip install $req; done
pip install -U scikit-learn
for req in $(cat requirements.txt); do pip install $req; done
pip install scikit-image
for req in $(cat requirements.txt); do pip install $req; done

make pycaffe

mkdir /media/crw/MyBook

docker commit 92562f161e519 my-ubuntu-caffe

sudo docker run -ti \
  --device /dev/nvidia0:/dev/nvidia0 \
  --device /dev/nvidiactl:/dev/nvidiactl \
  --device /dev/nvidia-uvm:/dev/nvidia-uvm \
  -v /media/crw/MyBook:/media/crw/MyBook \
  my-ubuntu-caffe /bin/bash

$ export CUDA_HOME=/usr/local/cuda
$ export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
$ PATH=${CUDA_HOME}/bin:${PATH}
$ export PATH

cd /media/crw/MyBook/Experience/FaceRecognition/Softmax/try3_3
./train.sh