2018-08-0521:53:46
以前经常用windows平台，最近换了mac平台。这是一个mac下安装caffe的教程
1 brew install opencv3 --with-contrib --with-ffmpeg --with-tbb --with-qt5 --with-python 2 export OpenCV_DIR=/usr/local/Cellar/opencv3/3.1.0_1/share/OpenCV 3 echo /usr/local/opt/opencv3/lib/python2.7/site-packages >> /usr/local/lib/python2.7/site-packages/opencv3.pth 4 brew link opencv3 --force 5 6 #高性能矩阵计算，数值运算库 7 brew install openblas 8 #不加可能不会在/usr/local/include(bin) 中创建openblas的link,导致查找不到cblas.h的错误 9 brew link openblas --force 10 11 brew install szip 12 13 #谷歌开发的混合语言数据标准,序列化 14 #直接用动态库opencv和caffe链接到同一个动态protocol库会出错 15 git clone https://github.com/google/protobuf.git 16 cd protobuf 17 git clone -b release-1.7.0 https://github.com/google/googlemock.git gmock 18 cd gmock 19 git clone -b release-1.7.0 https://github.com/google/googletest.git gtest 20 cd ../cmake 21 mkdir build 22 cd build 23 cmake -DBUILD_SHARED_LIBS=OFF .. 24 make -j4 25 make install 26 cd ../../python 27 python setup.py build 28 python setup.py test 29 python setuppy install 30 31 #brew install --build-from-source --with-python -vd protobuf 32 33 #谷歌开发的日志系统 34 brew install glog 35 36 #谷歌开源的处理命令行参数的库 37 brew install gflags 38 39 #层次型的数据存储格式,包含了数据定义和支持接口 40 brew install hdf5 41 42 #caffe需要使用的智能指针等来自boost库，还有python调研c++的借口也由boost实现 43 brew install --build-from-source -vd boost boost-python 44 45 #一些nosql的数据库，caffe的数据存储 46 brew install lmdb 47 brew install snappy 48 brew install leveldb <pre name="code" class="plain"> git clone https://github.com/BVLC/caffe.git 49 cd caffe 50 51 #安装python caffe 52 for req in $(cat python/requirements.txt); do pip install $req; done 53 echo "if import caffe failed with segment fault, check the python lib link, you should link local python lib manully" 54 mkdir build 55 cd build 56 #mac dose not support cuda, use cpu only 57 cmake -DCPU_ONLY=ON .. 58 make all 59 make install 60 make runtest