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Making python3 work with cmake and the new python wrapper
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philkr committed Feb 24, 2015
1 parent 682d9da commit d8e1007
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Showing 9 changed files with 54 additions and 16 deletions.
1 change: 1 addition & 0 deletions CMakeLists.txt
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Expand Up @@ -17,6 +17,7 @@ caffe_option(CPU_ONLY "Build Caffe wihtout CUDA support" OFF) # TODO: rename to
caffe_option(USE_CUDNN "Build Caffe with cuDNN libary support" ON IF NOT CPU_ONLY)
caffe_option(BUILD_SHARED_LIBS "Build shared libraries" ON)
caffe_option(BUILD_python "Build Python wrapper" ON)
set(python_version "2" CACHE STRING "Specify which python version to use")
caffe_option(BUILD_matlab "Build Matlab wrapper" OFF IF UNIX OR APPLE)
caffe_option(BUILD_docs "Build documentation" ON IF UNIX OR APPLE)

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39 changes: 33 additions & 6 deletions cmake/Dependencies.cmake
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Expand Up @@ -92,12 +92,39 @@ endif()

# ---[ Python
if(BUILD_python)
# disable Python 3 search
find_package(PythonInterp 2.7)
find_package(PythonLibs 2.7)
find_package(NumPy 1.7.1)
find_package(Boost 1.46 COMPONENTS python)

if(NOT "${python_version}" VERSION_LESS "3.0.0")
# use python3
find_package(PythonInterp 3.0)
find_package(PythonLibs 3.0)
find_package(NumPy 1.7.1)
# Find the matching boost python implementation
set(version ${PYTHONLIBS_VERSION_STRING})

STRING( REPLACE "." "" boost_py_version ${version} )
find_package(Boost 1.46 COMPONENTS "python-py${boost_py_version}")
set(Boost_PYTHON_FOUND ${Boost_PYTHON-PY${boost_py_version}_FOUND})

while(NOT "${version}" STREQUAL "" AND NOT Boost_PYTHON_FOUND)
STRING( REGEX REPLACE "([0-9.]+).[0-9]+" "\\1" version ${version} )
STRING( REGEX MATCHALL "([0-9.]+).[0-9]+" has_more_version ${version} )
if("${has_more_version}" STREQUAL "")
break()
endif()

STRING( REPLACE "." "" boost_py_version ${version} )
find_package(Boost 1.46 COMPONENTS "python-py${boost_py_version}")
set(Boost_PYTHON_FOUND ${Boost_PYTHON-PY${boost_py_version}_FOUND})
endwhile()
if(NOT Boost_PYTHON_FOUND)
find_package(Boost 1.46 COMPONENTS python)
endif()
else()
# disable Python 3 search
find_package(PythonInterp 2.7)
find_package(PythonLibs 2.7)
find_package(NumPy 1.7.1)
find_package(Boost 1.46 COMPONENTS python)
endif()
if(PYTHONLIBS_FOUND AND NUMPY_FOUND AND Boost_PYTHON_FOUND)
set(HAVE_PYTHON TRUE)
endif()
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4 changes: 2 additions & 2 deletions docs/installation.md
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Expand Up @@ -30,7 +30,7 @@ Caffe has several dependencies.

Pycaffe and Matcaffe interfaces have their own natural needs.

* For Python Caffe: `Python 2.7`, `numpy (>= 1.7)`, boost-provided `boost.python`
* For Python Caffe: `Python 2.7` or `Python 3.3+`, `numpy (>= 1.7)`, boost-provided `boost.python`
* For MATLAB Caffe: MATLAB with the `mex` compiler.

**cuDNN Caffe**: for fastest operation Caffe is accelerated by drop-in integration of [NVIDIA cuDNN](https://developer.nvidia.com/cudnn). To speed up your Caffe models, install cuDNN then uncomment the `USE_CUDNN := 1` flag in `Makefile.config` when installing Caffe. Acceleration is automatic. For now cuDNN v1 is integrated but see [PR #1731](https://github.com/BVLC/caffe/pull/1731) for v2.
Expand Down Expand Up @@ -69,7 +69,7 @@ but we suggest first installing the [Anaconda](https://store.continuum.io/cshop/

To import the `caffe` Python module after completing the installation, add the module directory to your `$PYTHONPATH` by `export PYTHONPATH=/path/to/caffe/python:$PYTHONPATH` or the like. You should not import the module in the `caffe/python/caffe` directory!

*Caffe's Python interface works with Python 2.7. Python 3 or earlier Pythons are your own adventure.*
*Caffe's Python interface works with Python 2.7. Python 3.3+ should work out of the box without protobuf support. For protobuf support please install protobuf 3.0 alpha (https://developers.google.com/protocol-buffers/). Earlier Pythons are your own adventure.*

#### MATLAB

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2 changes: 1 addition & 1 deletion python/caffe/_caffe.cpp
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Expand Up @@ -275,7 +275,7 @@ BOOST_PYTHON_MODULE(_caffe) {
bp::class_<vector<bool> >("BoolVec")
.def(bp::vector_indexing_suite<vector<bool> >());

import_array();
import_array1();
}

} // namespace caffe
9 changes: 8 additions & 1 deletion python/caffe/io.py
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Expand Up @@ -3,7 +3,14 @@
from scipy.ndimage import zoom
from skimage.transform import resize

from caffe.proto import caffe_pb2
try:
# Python3 will most likely not be able to load protobuf
from caffe.proto import caffe_pb2
except:
if sys.version_info >= (3,0):
print("Failed to include caffe_pb2, things might go wrong!")
else:
raise

## proto / datum / ndarray conversion

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5 changes: 4 additions & 1 deletion python/caffe/pycaffe.py
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Expand Up @@ -4,7 +4,10 @@
"""

from collections import OrderedDict
from itertools import izip_longest
try:
from itertools import izip_longest
except:
from itertools import zip_longest as izip_longest
import numpy as np

from ._caffe import Net, SGDSolver
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6 changes: 3 additions & 3 deletions python/classify.py
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Expand Up @@ -103,7 +103,7 @@ def main(argv):
channel_swap=channel_swap)

if args.gpu:
print 'GPU mode'
print('GPU mode')

# Load numpy array (.npy), directory glob (*.jpg), or image file.
args.input_file = os.path.expanduser(args.input_file)
Expand All @@ -115,12 +115,12 @@ def main(argv):
else:
inputs = [caffe.io.load_image(args.input_file)]

print "Classifying %d inputs." % len(inputs)
print("Classifying %d inputs." % len(inputs))

# Classify.
start = time.time()
predictions = classifier.predict(inputs, not args.center_only)
print "Done in %.2f s." % (time.time() - start)
print("Done in %.2f s." % (time.time() - start))

# Save
np.save(args.output_file, predictions)
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2 changes: 1 addition & 1 deletion python/detect.py
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Expand Up @@ -115,7 +115,7 @@ def main(argv):
context_pad=args.context_pad)

if args.gpu:
print 'GPU mode'
print('GPU mode')

# Load input.
t = time.time()
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2 changes: 1 addition & 1 deletion python/draw_net.py
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Expand Up @@ -36,7 +36,7 @@ def main():
args = parse_args()
net = caffe_pb2.NetParameter()
text_format.Merge(open(args.input_net_proto_file).read(), net)
print 'Drawing net to %s' % args.output_image_file
print('Drawing net to %s' % args.output_image_file)
caffe.draw.draw_net_to_file(net, args.output_image_file, args.rankdir)


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