Basically follow the original tutorial. However, there is a part that is a little thoughtful, so I will write it without omitting that part in this procedure manual.
** Note that it is assumed that anaconda-2.1.0 is included in pyenv. ** **
I strongly recommend that you can use anaconda even at the head family, so I will obediently follow it. If you haven't done so already, please refer to here and install anaconda-2.1.0 first.
2015-08-17。
The procedure for inserting brew and pyenv is here.
What to put is snappy leveldb gflags glog szip lmdb protobuf boost boost-python openblas opencv hdf5 Except for the last two, it's easy to enter. The last two can only be done after editing the settings a little.
You don't have to add OpenBLAS, but it seems to be a little faster in CPU mode, so I'll put it in quickly. Note that you will have to change one line of caffe's build settings later.
1-1. snappy leveldb gflags glog szip lmdb protobuf boost boost-python openblas
First of all, the simple one.
$ brew install -vd snappy leveldb gflags glog szip lmdb
$ brew install --build-from-source --with-python --fresh -vd protobuf
$ brew install --build-from-source --fresh -vd boost boost-python
$ brew tap homebrew/science # need the homebrew science source for OpenCV and hdf5
$ brew install openblas
1-2. opencv
$ brew edit opencv
So, edit -DPYTHON_LIBRARY and -DPYTHON_INCLUDE_DIR as follows.
/usr/local/Library/Taps/homebrew/homebrew-science/opencv.rb#L93-About 94
...
args << "-DPYTHON_LIBRARY=#{py_lib}/libpython2.7.#{dylib}"
args << "-DPYTHON_INCLUDE_DIR=#{py_prefix}/include/python2.7"
...
Fully
$ brew install opencv
1-3. hdf5 It seems that brew install was fine as it was until a while ago, but the latest version hdf5-1.8.14 is not the version used by caffe, and an error occurs when trying to use caffe later. So edit it to install hdf5-1.8.13.
$ brew edit hdf5
So, edit the part in the first few lines as follows.
/usr/local/Library/Taps/homebrew/homebrew-science/opencv.rb
url "http://www.hdfgroup.org/ftp/HDF5/releases/hdf5-1.8.13/src/hdf5-1.8.13.tar.bz2"
sha1 "712955025f03db808f000d8f4976b8df0c0d37b5"
Fully
$ brew install hdf5
This completes the package installation. It's easy up to this point.
$ git clone https://github.com/BVLC/caffe.git
So, because it is convenient and will be used later, define the following environment variables.
.zshrc
...
export CAFFE_ROOT=/path/to/caffe
...
$ cd $CAFFE_ROOT
$ cp Makefile.config.example Makefile.config
Rewrite as follows. (The environment variable PYENV_ROOT should have been written when setting pyenv.)
## 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
# 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++
CUSTOM_CXX := /usr/bin/clang++
# 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 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_50,code=compute_50
# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
# BLAS := atlas
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
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
ANACONDA_HOME := $(PYENV_ROOT)/versions/anaconda-2.1.0
PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
$(ANACONDA_HOME)/include/python2.7 \
$(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \
# We need to be able to find libpythonX.X.so or .dylib.
# PYTHON_LIB := /usr/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
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/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
# 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
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 ?= @
Finally build. -j is the number of parallel processes, so set it to your liking. You don't have to. It's late.
$ cd $CAFFE_ROOT
$ make clean
$ make all -j4
$ make test -j4
$ make runtest
As a result of execution, if there is no particular error, k
Also build caffe wrapped in python so that caffe can be called in python.
$ cd $CAFFE_ROOT/python
$ make pycaffe
$ make distribute
As a result of executing this, if there is no particular error, k
Set the following. If DYLD_FALLBACK_LIBRARY_PATH is not set, import caffe will fail.
# Caffe
export ANACONDA_HOME=$PYENV_ROOT/versions/anaconda-2.1.0
export PYTHONPATH=$CAFFE_ROOT/python:$PYTHONPATH
export DYLD_FALLBACK_LIBRARY_PATH=$ANACONDA_HOME/lib:/usr/local/lib:/usr/lib
Launch the python interpreter and test the operation.
$ python
>>> import caffe
>>>
If you don't get angry, you're successful.
If you get an error saying that google.protobuf does not exist, try inserting protobuf from python with the following command.
$ pip install protobuf
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