安裝和設定
Ubuntu
下面是在 Ubuntu 14.04 x64 或 14.10 x64 上安裝 Caffe,pycaffe 及其依賴項的詳細說明。
執行以下指令碼,例如“bash compile_caffe_ubuntu_14.sh”(在新的 Ubuntu 上大約 30 到 60 分鐘)。
# This script installs Caffe and pycaffe.
# CPU only, multi-threaded Caffe.
# Usage:
# 0. Set up here how many cores you want to use during the installation:
# By default Caffe will use all these cores.
NUMBER_OF_CORES=4
sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev
sudo apt-get install -y libopencv-dev libhdf5-serial-dev
sudo apt-get install -y --no-install-recommends libboost-all-dev
sudo apt-get install -y libatlas-base-dev
sudo apt-get install -y python-dev
sudo apt-get install -y python-pip git
# For Ubuntu 14.04
sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler
# Install LMDB
git clone https://github.com/LMDB/lmdb.git
cd lmdb/libraries/liblmdb
sudo make
sudo make install
# More pre-requisites
sudo apt-get install -y cmake unzip doxygen
sudo apt-get install -y protobuf-compiler
sudo apt-get install -y libffi-dev python-pip python-dev build-essential
sudo pip install lmdb
sudo pip install numpy
sudo apt-get install -y python-numpy
sudo apt-get install -y gfortran # required by scipy
sudo pip install scipy # required by scikit-image
sudo apt-get install -y python-scipy # in case pip failed
sudo apt-get install -y python-nose
sudo pip install scikit-image # to fix https://github.com/BVLC/caffe/issues/50
# Get caffe (http://caffe.berkeleyvision.org/installation.html#compilation)
cd
mkdir caffe
cd caffe
wget https://github.com/BVLC/caffe/archive/master.zip
unzip -o master.zip
cd caffe-master
# Prepare Python binding (pycaffe)
cd python
for req in $(cat requirements.txt); do sudo pip install $req; done
# to be able to call "import caffe" from Python after reboot:
echo "export PYTHONPATH=$(pwd):$PYTHONPATH " >> ~/.bash_profile
source ~/.bash_profile # Update shell
cd ..
# Compile caffe and pycaffe
cp Makefile.config.example Makefile.config
sed -i '8s/.*/CPU_ONLY := 1/' Makefile.config # Line 8: CPU only
sudo apt-get install -y libopenblas-dev
sed -i '33s/.*/BLAS := open/' Makefile.config # Line 33: to use OpenBLAS
# Note that if one day the Makefile.config changes and these line numbers may change
echo "export OPENBLAS_NUM_THREADS=($NUMBER_OF_CORES)" >> ~/.bash_profile
mkdir build
cd build
cmake ..
cd ..
make all -j$NUMBER_OF_CORES # 4 is the number of parallel threads for compilation: typically equal to number of physical cores
make pycaffe -j$NUMBER_OF_CORES
make test
make runtest
#make matcaffe
make distribute
# Afew few more dependencies for pycaffe
sudo pip install pydot
sudo apt-get install -y graphviz
sudo pip install scikit-learn
最後,你需要手動執行“source~ / .bash_profile”或者啟動一個新的 shell 來做’python import caffe’。