概述
第一句话 先致敬我的大神，没有他我可能还会再装几天。。。。
Mac 安装caffe 第一步就是安装 homebrew
接下来安装caffe 依赖
按照官网：
brew install -vd snappy leveldb gflags glog szip lmdb接下来
brew tap homebrew/science报错
Error: homebrew/science was deprecated. This tap is now empty as all its formulae were migrated
接下来 brew search 一下
brew search science会出
接下来 安装第一个就可以了
brew install data-science-studio接下来安装OpenCV hdf5 boost protobuf
brew install opencv hdf5
brew install protobuf boost boost-python
这些安装好了以后呢就可以下载编译caffe了 随便找个路径：
git clone https://github.com/BVLC/caffe然后
cd caffe
cp Makefile.config.example Makefile.config
make all
make test
make runtest幸运的孩子呢 一般到这里 就已经装好编译成功了。但我不是幸运的孩子 在编译的时候几乎把所有的问题都出了。。。。。
以下是排坑。
在brew 安装protobuf的时候，会默认安装的是最新版本，可是以我安装caffe的经验来看，我从来没有用过最新版本的protobuf成功过。果不其然：
#error incompatible with your Protocol Buffer headers. Please update
所以，接下来，是把最新版本的protobuf 降成2.6.1版本。
可以参考下面这一个文章
https://blog.csdn.net/u014001964/article/details/81189710
好了 接下来 继续编译，
ld: library not found for -lboost-python
clang: error: linker command failed with exit code 1 (use -v to see invocation)
这个问题呢其实就是他找不到我们安装的boost-python在哪,我们要去找一下这个是不是真的有这个libboost_python.a
去 /usr/local/lib 里面瞅瞅，我的是没有 libboost_python.a 的，所以那他找不到，因为我安装的是boost-Python27 ，这个时候就把
libboost_python27.a 重命名为 libboost_python.a 然后就不报错了。。。。。。。
继续编译,报错：
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)这个时候呢 我安装了openblas
brew install openblas在Makefile.config文件里 将openblas加速打开，
然后就好了。具体原因在Makefile里面有讲，
继续编译，又出错：
./include/caffe/util/hdf5.hpp:6:18: fatal error: hdf5.h: No such file or directory
没有hdf5.h ，所以就跑到hdf5.hpp里面 添加了一行代码 #include<hdf5.h>
继续编译，没有错误，成功。
在配置Makefile的时候
以下贴出我的Makefile.config文件 ,大家做一下参考。
## 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/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！
最后
以上就是轻松橘子为你收集整理的MAC 安装caffe 教程 排坑的全部内容，希望文章能够帮你解决MAC 安装caffe 教程 排坑所遇到的程序开发问题。
如果觉得靠谱客网站的内容还不错，欢迎将靠谱客网站推荐给程序员好友。
本图文内容来源于网友提供，作为学习参考使用，或来自网络收集整理，版权属于原作者所有。
发表评论 取消回复