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:
1brew install -vd snappy leveldb gflags glog szip lmdb
接下来
1brew 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
1brew search science
会出
接下来 安装第一个就可以了
1brew install data-science-studio
接下来安装OpenCV hdf5 boost protobuf
1
2
3brew 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:
1git clone https://github.com/BVLC/caffe
然后
1
2
3
4
5cd 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:
1
2ld: 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
1brew 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。
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125## 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
以上就是轻松橘子最近收集整理的关于MAC 安装caffe 教程 排坑的全部内容,更多相关MAC内容请搜索靠谱客的其他文章。
发表评论 取消回复