MAC 安裝caffe 教程 排坑
阿新 • • 發佈：2018-12-16
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：
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
這些安裝好了以後呢就可以下載編譯caffe了 隨便找個路徑：
git clone https://github.com/BVLC/caffe然後
cd caffe cp Makefile.config.example Makefile.config make all make test make runtest
幸運的孩子呢 一般到這裡 就已經裝好編譯成功了。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，會預設安裝的是最新版本，可是以我安裝caffe的經驗來看，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
好了 接下來 繼續編譯，
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 裡面瞅瞅，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 重新命名為 libboost_python.a 然後就不報錯了。。。。。。。
繼續編譯,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檔案裡 將openblas加速開啟，
然後就好了。具體原因在Makefile裡面有講，
繼續編譯，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裡面 添加了一行程式碼 #include<hdf5.h>
繼續編譯，沒有錯誤，成功。
在配置Makefile的時候
以下貼出我的Makefile.config檔案 ,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 3
OPENCV_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)/include
BLAS_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/[email protected]/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 ?= @
最後 再一次致敬大神！