第一句話 先致敬我的大神，沒有他我可能還會再裝幾天。。。。

Mac 安裝caffe 第一步就是安裝 homebrew??

接下來安裝caffe 依賴?

按照官網(wǎng)：

brew install -vd snappy leveldb gflags glog szip lmdb

接下來

?

brew tap homebrew/science

報錯

Error: homebrew/science was deprecated. This tap is now empty as all its formulae were migrated

?

接下來 brew search 一下

brew search science

?會出

接下來 安裝第一個就可以了

brew install data-science-studio

接下來安裝OpenCV hdf5 boost protobuf?

brew install opencv hdf5 brew install protobuf boost boost-python

這些安裝好了以后呢就可以下載編譯caffe了? 隨便找個路徑：

git clone https://github.com/BVLC/caffe

?然后

cd caffe cp Makefile.config.example Makefile.config make all make test make runtest

幸運的孩子呢 一般到這里 就已經(jīng)裝好編譯成功了。但我不是幸運的孩子 在編譯的時候幾乎把所有的問題都出了。。。。。

以下是排坑。

在brew 安裝protobuf的時候，會默認安裝的是最新版本，可是以我安裝caffe的經(jīng)驗來看，我從來沒有用過最新版本的protobuf成功過。果不其然：

#error incompatible with your Protocol Buffer headers. ?Please update

所以，接下來，是把最新版本的protobuf 降成2.6.1版本。

可以參考下面這一個文章

https://blog.csdn.net/u014001964/article/details/81189710

好了 接下來 繼續(xù)編譯，

ld: library not found for -lboost-python
clang: error: linker command failed with exit code 1 (use -v to see invocation)

這個問題呢其實就是他找不到我們安裝的boost-python在哪,我們要去找一下這個是不是真的有這個libboost_python.a

去 /usr/local/lib 里面瞅瞅，我的是沒有?libboost_python.a 的，所以那他找不到，因為我安裝的是boost-Python27 ，這個時候就把

libboost_python27.a 重命名為?libboost_python.a 然后就不報錯了。。。。。。。

繼續(xù)編譯,報錯：

ld: cannot link directly with /System/Library/Frameworks//vecLib.framework/vecLib for architecture x86_64 clang: error: linker command failed with exit code 1 (use -v to see invocation)

這個時候呢 我安裝了openblas

brew install openblas

在Makefile.config文件里 將openblas加速打開，

然后就好了。具體原因在Makefile里面有講，

繼續(xù)編譯，又出錯：

./include/caffe/util/hdf5.hpp:6:18: fatal error: hdf5.h: No such file or directory

沒有hdf5.h ，所以就跑到hdf5.hpp里面 添加了一行代碼 #include<hdf5.h>
繼續(xù)編譯，沒有錯誤，成功。

在配置Makefile的時候

以下貼出我的Makefile.config文件 ,大家做一下參考。

## Refer to http://caffe.berkeleyvision.org/installation.html # Contributions simplifying and improving our build system are welcome!# cuDNN acceleration switch (uncomment to build with cuDNN). # USE_CUDNN := 1# CPU-only switch (uncomment to build without GPU support). CPU_ONLY := 1# uncomment to disable IO dependencies and corresponding data layers # USE_OPENCV := 0 # USE_LEVELDB := 0 # USE_LMDB := 0 # This code is taken from https://github.com/sh1r0/caffe-android-lib # USE_HDF5 := 0# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary) # You should not set this flag if you will be reading LMDBs with any # possibility of simultaneous read and write # ALLOW_LMDB_NOLOCK := 1# Uncomment if you're using OpenCV 3OPENCV_VERSION := 3# To customize your choice of compiler, uncomment and set the following. # N.B. the default for Linux is g++ and the default for OSX is clang++CUSTOM_CXX := g++# CUDA directory contains bin/ and lib/ directories that we need. #CUDA_DIR := /usr/local/cuda # On Ubuntu 14.04, if cuda tools are installed via # "sudo apt-get install nvidia-cuda-toolkit" then use this instead: # CUDA_DIR := /usr# CUDA architecture setting: going with all of them. # For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility. # For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility. # For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility. #CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \# -gencode arch=compute_20,code=sm_21 \# -gencode arch=compute_30,code=sm_30 \# -gencode arch=compute_35,code=sm_35 \# -gencode arch=compute_50,code=sm_50 \# -gencode arch=compute_52,code=sm_52 \# -gencode arch=compute_60,code=sm_60 \# -gencode arch=compute_61,code=sm_61 \# -gencode arch=compute_61,code=compute_61# BLAS choice: # atlas for ATLAS (default) # mkl for MKL # open for OpenBlas BLAS := open # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. # Leave commented to accept the defaults for your choice of BLAS # (which should work)! # BLAS_INCLUDE := /path/to/your/blas # BLAS_LIB := /path/to/your/blas# Homebrew puts openblas in a directory that is not on the standard search path BLAS_INCLUDE := $(shell brew --prefix openblas)/includeBLAS_LIB := $(shell brew --prefix openblas)/lib# This is required only if you will compile the matlab interface. # MATLAB directory should contain the mex binary in /bin. # MATLAB_DIR := /usr/local # MATLAB_DIR := /Applications/MATLAB_R2012b.app# NOTE: this is required only if you will compile the python interface. # We need to be able to find Python.h and numpy/arrayobject.h. PYTHON_INCLUDE := /usr/include/python2.7 \/usr/lib/python2.7/dist-packages/numpy/core/include \/usr/local/lib/python2.7/site-packages/numpy/core/include # Anaconda Python distribution is quite popular. Include path: # Verify anaconda location, sometimes it's in root. # ANACONDA_HOME := $(HOME)/anaconda # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \# $(ANACONDA_HOME)/include/python2.7 \# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include# Uncomment to use Python 3 (default is Python 2) # PYTHON_LIBRARIES := boost_python3 python3.5m # PYTHON_INCLUDE := /usr/include/python3.5m \ # /usr/lib/python3.5/dist-packages/numpy/core/include# We need to be able to find libpythonX.X.so or .dylib. PYTHON_LIB := /usr/local/Cellar/python@2/2.7.15_1/Frameworks/Python.framework/Versions/2.7/lib # PYTHON_LIB := $(ANACONDA_HOME)/lib# Homebrew installs numpy in a non standard path (keg only) # PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include # PYTHON_LIB += $(shell brew --prefix numpy)/lib# Uncomment to support layers written in Python (will link against Python libs)WITH_PYTHON_LAYER := 1# Whatever else you find you need goes here. INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/local/Cellar/opencv/3.4.3/include LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/local/Cellar/opencv/3.4.3/lib /usr/local/Cellar/boost-python/1.67.0/lib# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies#INCLUDE_DIRS += $(shell brew --prefix)/include#LIBRARY_DIRS += $(shell brew --prefix)/lib# NCCL acceleration switch (uncomment to build with NCCL) # https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0) # USE_NCCL := 1# Uncomment to use `pkg-config` to specify OpenCV library paths. # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)USE_PKG_CONFIG := 1# N.B. both build and distribute dirs are cleared on `make clean` BUILD_DIR := build DISTRIBUTE_DIR := distribute# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171 # DEBUG := 1# The ID of the GPU that 'make runtest' will use to run unit tests. TEST_GPUID := 0# enable pretty build (comment to see full commands) Q ?= @

最后 再一次致敬大神！?

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