Nugget post: Installing PyVLFEAT

When attempting to install PyVLFEAT (), a simple pip install pyvlfeat fails. Proceeding to the PyPI website ( we can download the code but again it doesn’t run when attempting the usual

python build

also fails. The trick to get this installed successfully is first of all to make sure you have the python BOOST library installed as specified in the README. For ubuntu, this is accomplished using:

sudo apt-get install build-essential python-dev python-setuptools libboost-python-dev libboost-thread-dev -y

Next, you need to modify on two counts: including numpy arrays, and changing an outdated reference to the BOOST library. The modified file can be seen below:

#!/usr/bin/env python
# -*- coding: utf-8 -*-
Installation script for the vlfeat module
import numpy
import sys, os
from distutils.core import Extension, setup
from distutils.errors import DistutilsFileError
from distutils.command.build_ext import build_ext
__version__ = '0.1.1a3'
vlfeat_src = ['vlfeat/vl/aib.c', 'vlfeat/vl/generic.c',
'vlfeat/vl/hikmeans.c', 'vlfeat/vl/ikmeans.c',
'vlfeat/vl/imopv.c', 'vlfeat/vl/mathop.c',
'vlfeat/vl/mathop_sse2.c', 'vlfeat/vl/pgm.c',
'vlfeat/vl/rodrigues.c', 'vlfeat/vl/stringop.c',
'vlfeat/vl/getopt_long.c', 'vlfeat/vl/host.c',
'vlfeat/vl/imopv_sse2.c', 'vlfeat/vl/mser.c',
'vlfeat/vl/random.c', 'vlfeat/vl/sift.c',
'vlfeat/vl/dsift.c', 'vlfeat/vl/quickshift.c',
'vlfeat/mser/vl_erfill.cpp', 'vlfeat/mser/vl_mser.cpp',
'vlfeat/sift/vl_sift.cpp', 'vlfeat/sift/vl_dsift.cpp',
'vlfeat/sift/vl_siftdescriptor.cpp', 'vlfeat/imop/vl_imsmooth.cpp',
'vlfeat/misc/vl_binsum.cpp', 'vlfeat/kmeans/vl_hikmeans.cpp',
'vlfeat/kmeans/vl_ikmeans.cpp', 'vlfeat/kmeans/vl_hikmeanspush.cpp',
'vlfeat/kmeans/vl_ikmeanspush.cpp', 'vlfeat/quickshift/vl_quickshift.cpp',
vlfeat_dep = ['vlfeat/vl/aib.h', 'vlfeat/vl/generic.h',
'vlfeat/vl/hikmeans.h', 'vlfeat/vl/ikmeans.h',
'vlfeat/vl/imopv.h', 'vlfeat/vl/mathop.h',
'vlfeat/vl/mathop_sse2.h', 'vlfeat/vl/pgm.h',
'vlfeat/vl/rodrigues.h', 'vlfeat/vl/stringop.h',
'vlfeat/vl/getopt_long.h', 'vlfeat/vl/host.h',
'vlfeat/vl/imopv_sse2.h', 'vlfeat/vl/mser.h',
'vlfeat/vl/random.h', 'vlfeat/vl/sift.h',
'vlfeat/vl/dsift.h', 'vlfeat/vl/quickshift.h',
'vlfeat/kmeans/vl_hikmeans.h', 'vlfeat/kmeans/vl_ikmeans.h',
'vlfeat/quickshift/vl_quickshift.h', 'vlfeat/py_vlfeat.h'
IncludeDirs = ['vlfeat/',numpy.get_include()]
LibraryDirs = None
Libraries = None
BuildExtension = build_ext
CompileArgs = ['-msse2', '-O2', '-fPIC', '-w']
LinkArgs = ['-msse', '-shared', '-lboost_python-py27']
def mkExtension(name):
modname = '_' + name.lower()
src = globals()[name.lower() + '_src']
dep = globals()[name.lower() + '_dep']
return Extension(modname, src, libraries=Libraries, depends=dep,
include_dirs=IncludeDirs, library_dirs=LibraryDirs,
extra_compile_args=CompileArgs, extra_link_args=LinkArgs)
setup(name = 'pyvlfeat', version = __version__,
requires = ['numpy', 'matplotlib'],
packages = ['vlfeat'],
package_dir = { 'vlfeat' : 'vlfeat' },
ext_modules = [mkExtension('vlfeat')],
py_modules = ['vlfeat.__init__', 'vlfeat.kmeans.__init__',
'vlfeat.kmeans.vl_hikmeanshist', 'vlfeat.kmeans.vl_ikmeanshist',
'vlfeat.misc.__init__', 'vlfeat.misc.colorspaces',
'vlfeat.mser.__init__', 'vlfeat.mser.vl_ertr',
'vlfeat.plotop.__init__', 'vlfeat.plotop.vl_plotframe',
'vlfeat.quickshift.__init__', 'vlfeat.test.__init__',
'vlfeat.test.vl_test_hikmeans', 'vlfeat.test.vl_test_ikmeans',
cmdclass = { "build_ext" : BuildExtension },
description = 'Python interface to the VLFeat library',
author = 'Andrea Vedaldi, Brian Fulkerson, Mikael Rousson',
author_email = '',
maintainer = 'Peter Le Bek',
maintainer_email = '',
url = '',
license = 'GPL',
platforms = ['Unix', 'Linux'],
long_description = """
* Scale-Invariant Feature Transform (SIFT)
* Dense SIFT (DSIFT)
* Integer k-means (IKM)
* Hierarchical Integer k-means (HIKM)
* Maximally Stable Extremal Regions (MSER)
* Quick shift image segmentation
* Boost.Python (libboost-python-dev on Debian systems)
* NumPy
* Matplotlib
'Operating System :: Unix',
'Programming Language :: C',
'Programming Language :: C++',
'Programming Language :: Python',
'Development Status :: 1 – Planning',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Image Recognition',
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved'

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