ubuntu14.04+caffe+cuda-7.5+opencv-3.1.0安装

本版本用的是Ubuntu14.04，cuda-7.5，opencv-3.10

1. 安装NVIDIA

• 禁止Ubuntu自带的驱动，具体方法：
  
  • sudo vim /etc/modprobe.d/nvidia-graphics-drivers.conf添加blacklist nouveau
  • sudo vim /etc/default/grub添加rdblacklist=nouveau nouveau.modeset=0
    
    • 如果还是禁止不了，可以移除此文件（先备份），然后再重新加载一下，步骤如下：
    • mv /lib/modules/3.0.0-12-generic/kernel/drivers/gpu/drm/nouveau/nouveau.ko /lib/modules/3.0.0-12-generic/kernel/drivers/gpu/drm/nouveau/nouveau.ko.org
    • update-initamfs -u
  • 重启电脑
  • Ctrl+Shift+tty1进入终端，关闭图形界面，sudo /etc/init.d/lightdm stop
  • ./NVIDIA-Linux-x86_64-370.28.run，可能要先添加执行权限

2. 安装CUDA

• 执行.run文件，./NVIDIA-Linux-x86_64-367.44.run，中间不需要重新安装驱动
• 添加路径，注意书写格式
  方法一：
  
export CUDA_HOME=/usr/local/cuda-7.5
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
PATH=${CUDA_HOME}/bin:${PATH}
export PATH

  方法二：
  
sudo vim /etc/profile
export PATH=/usr/local/cuda-7.5/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH


3. 安装依赖项

sudo apt-get install build-essential  # basic requirement 
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 #required by caffe
sudo apt-get install python-pip
sudo apt-get install python-numpy
sudo apt-get install python-scipy
sudo pip install Cython
sudo apt-get install python-protobuf
sudo apt-get install python-matplotlib
sudo pip install scikit-image
sudo pip install pyyaml
sudo apt-get install python-opencv
sudo pip insatll easydict

4. 安装OPENCV

解压opencv-3.1.0.zip

cd opencv-3.1.0
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j8
sudo make install -j8

5. 安装CAFFE

• 安装Python依赖库，可通过如下命令（第三步骤中如果执行了，可以不用此步骤）：
  
  • for req in $(cat requirements.txt); do pip install $req; done
• 编译caffe

cd caffe-master
cp Makefile.config.example Makefile.config
vim Makefile.config (去掉`OPENCV_VESION=3`和`WITH_PYTHON_LAYER := 1`前的注释)
make all -j8
make test -j8
make runtest -j8
make pycaffe