Set up Caffe on Ubuntu14.04 64bit+NVIDIA GTX970M+CUDA7.0

Install OpenBLAS

1. download source code from OpenBLAS official website and extract the archive
2. (optional) install gfortran by sudo apt-get install gfortran
3. change directory to the position of extracted folder the and compile make FC=gfortran
4. install by make PREFIX=/your/path install
5. add paths to envrionment: PATH=/your/path/to/openblas/include:$PATH and LD_LIBRARY_PATH=/your/path/to/openblas/lib:$LD_LIBRARY_PATH and export the pathes.

Install Anaconda

1. download the script from http://continuum.io/downloads
2. change mode sudo chmod +x Anaconda*.sh
3. execute the installer by bash Anaconda*.sh

4. in ~/.bashrc add

   LD_LIBRARY_PATH=your_anaconda_path/lib:$LD_LIBRARY_PATHexport LD_LIBRARY_PATH

NEVER put it in /etc !!! Otherwise, one may in danger of unable to get into GUI.

1. config HDF5 version

   cd /usr/lib/x86_64-linux-gnusudo ln -s libhdf5.so.7 libhdf5.so.10sudo ln -s libhdf5_hl.so.7 libhdf5_hl.so.10sudo ldconfig

Install OpenCV

One can conveniently install OpenCV by run a shell script from a Github repository

1. download the script. For me, I use OpenCV 2.4.10.
2. change mode of the shell sudo chmod +x opencv2_4_10.sh
3. run the script sudo ./opencv2_4_10.sh. Note that one may need to modify the cmake settings, such as eliminating QT.

Install a Set of Dpendencies

Following the guideline in Caffe, we can set up the dependencies by commond 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

Compile Caffe

1. get Caffe from github git clone https://github.com/BVLC/caffe.git
2. edit Makefile.config to set correct paths. Firstly create Makefile.config by cp Makefile.config.example Makefile.config. Then modify several paths. For me, I set blas to openblas and set blas path to /opt/OpenBLAS/include and /opt/OpenBLAS/lib where I install OpenBLAS; Python is set to Anaconda as well as its paths.
3. compile Caffe by make -j and make pycaffe
4. In addition, so far Caffe should be able to be compiled without any problem. However, when running exampls such as MNIST, some libs might be missing. My solution is to add libraries to the system library cache. For example, create a file called cuda.conf in /etc/ld.so.conf.d/ and add the path “/usr/local/cuda-7.0/lib64” to this file.