[PYTHON] So installieren Sie caffe unter OS X mit Macports

Installieren Sie Caffe auf AirPort mit Macports. Da es keine GPU gibt, nur CPU-Modus.

Übrigens, wenn Sie Anaconda und Macports gleichzeitig verwenden, können Sie Pycaffe aufgrund von Bibliothekskonflikten nicht verwenden. .. .. Siehe Installieren von Caffe unter OSX 10.11 mit macports + anaconda. Hier wird Macports alleine verwendet.

macports

Paketinstallation

sudo port install gcc5
sudo port install atlas +gcc5
sudo port install OpenBLAS +gcc5 +lapack
sudo port install py27-altgraph py27-appnope py27-backports py27-backports-ssl_match_hostname py27-bottleneck py27-cairo py27-certifi py27-config py27-cython py27-dateutil py27-decorator py27-functools32 py27-gflags py27-gnureadline py27-h5py py27-ipykernel py27-ipyparallel py27-ipython py27-ipython_genutils py27-ipywidgets py27-jinja2 py27-jsonschema py27-jupyter_client py27-jupyter_core py27-leveldb py27-macholib py27-markupsafe py27-matplotlib py27-mistune py27-modulegraph py27-nbconvert py27-nbformat py27-networkx py27-nose py27-notebook py27-numexpr py27-numpy py27-pandas py27-pandas py27-parsing py27-path py27-pexpect py27-pickleshare py27-Pillow py27-pkgconfig py27-powerline py27-protobuf py27-ptyprocess py27-py2app py27-pygments py27-pyobjc py27-pyobjc-cocoa py27-scientific py27-scikit-image py27-scikit-learn py27-scipy py27-setuptools py27-setuptools_scm py27-simplegeneric py27-six py27-tables py27-terminado py27-tkinter py27-tornado py27-traitlets py27-tz py27-vcversioner py27-yaml py27-zmq
sudo port install boost +python27
sudo port install opencv +python27 +eigen +tbb +vtk +contrib
sudo port install protobuf-c protobuf-cpp gflags google-glog hdf5 leveldb snappy lmdb 

Kompiliere caffe selbst mit clang ++ (Wenn du es mit g ++ machst, heißt es, dass du keine Bibliotheken wie protbuf und opencv finden kannst, vielleicht weil du mit clang kompilierst?)

port select

Verwenden wir die Portauswahl

sudo port select --set python python27
sudo port select --set python2 python27
sudo port select --set ipython2 py27-ipython
sudo port select --set nosetests nosetests27

Wenn Sie Caffe mit Python verwenden, ist es unten 2.7. (Wenn es sich um eine neuere Version handelt, scheint 3.3 oder höher in Ordnung zu sein. Sie wird im offiziellen Web beschrieben. Ich habe es nicht ausprobiert.)

caffe

Caffe herunterladen

git clone https://github.com/BVLC/caffe.git
cd caffe
cp Makefile.config.example Makefile.config

Schreiben Sie Makefile.config hier neu.

Makefile.Konfigurationsänderungen

--- Makefile.config.example	2016-07-07 15:42:18.000000000 +0900
+++ Makefile.config	2016-07-07 15:46:08.000000000 +0900
@@ -5,7 +5,7 @@
 # USE_CUDNN := 1
 
 # CPU-only switch (uncomment to build without GPU support).
-# CPU_ONLY := 1
+CPU_ONLY := 1
 
 # uncomment to disable IO dependencies and corresponding data layers
 # USE_OPENCV := 0
@@ -43,7 +43,7 @@
 # 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)!
@@ -61,14 +61,15 @@
 
 # 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
+#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 := $(HOME)/anaconda
-# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
-		# $(ANACONDA_HOME)/include/python2.7 \
-		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \
+ANACONDA_HOME := /opt/local/Library/Frameworks/Python.framework/Versions/2.7/
+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
@@ -76,19 +77,19 @@
 #                 /usr/lib/python3.5/dist-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
+# 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
+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
+INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /opt/local/include
+LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /opt/local/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
@@ -96,7 +97,7 @@
 
 # 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
+USE_PKG_CONFIG := 1
 
 # N.B. both build and distribute dirs are cleared on `make clean`
 BUILD_DIR := build
@@ -109,4 +110,4 @@
 TEST_GPUID := 0
 
 # enable pretty build (comment to see full commands)
-Q ?= @
+#Q ?= @

Mekfile neu schreiben.

• Fügen Sie -mt zur Boost-Bibliothek hinzu.

Makefile-Änderungen

--- Makefile.org	2016-07-07 15:42:18.000000000 +0900
+++ Makefile	2016-07-07 15:58:24.000000000 +0900
@@ -178,7 +178,7 @@
 	LIBRARIES := cudart cublas curand
 endif
 
-LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5
+LIBRARIES += glog gflags protobuf boost_system-mt boost_filesystem-mt m hdf5_hl hdf5
 
 # handle IO dependencies
 USE_LEVELDB ?= 1
@@ -199,7 +199,7 @@
 	endif
 		
 endif
-PYTHON_LIBRARIES ?= boost_python python2.7
+PYTHON_LIBRARIES ?= boost_python-mt python2.7
 WARNINGS := -Wall -Wno-sign-compare
 
 ##############################

Dann mach.

Bauen

make all pycaffe

Prüfung

make all test runtest pytest

Installation

So installieren Sie lokal.

python

make distribute

mkdir -p $HOME/local/usr/local/lib/python2.7/site-packages/

cp -rv distribute/include $HOME/local/usr/local/
cp -rv distribute/lib $HOME/local/usr/local/
cp -rv distribute/python/caffe $HOME/local/usr/local/lib/python2.7/site-packages/

Wenn Sie Pycaffe verwenden

.bash_Einstellungen zum Schreiben in Profil etc.

# caffe
export LD_LIBRARY_PATH=$HOME/local/usr/local/lib/:$LD_LIBRARY_PATH
export PYTHONPATH=$HOME/local/usr/local/lib/python2.7/site-packages/:$PYTHONPATH

mit diesem python2.7 Oder jupyter-notebook-2.7 Sie können Pycaffe mit verwenden.

importieren

import caffe

Wenn kein Fehler auftritt, ist es OK.