https://github.com/djsutherland/vlfeat-ctypes

A ctypes interface to a (very small) subset of vlfeat.
https://github.com/djsutherland/vlfeat-ctypes

Last synced: 1 day ago
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A ctypes interface to a (very small) subset of vlfeat.

• Host: GitHub
• URL: https://github.com/djsutherland/vlfeat-ctypes
• Owner: djsutherland
• License: bsd-3-clause
• Created: 2013-03-18T04:53:15.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2019-04-09T12:44:11.000Z (over 5 years ago)
• Last Synced: 2024-11-09T18:19:50.044Z (9 days ago)
• Language: Python
• Size: 38.1 KB
• Stars: 21
• Watchers: 6
• Forks: 9
• Open Issues: 6
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

        
==================================================

vlfeat-ctypes: minimal VLFeat interface for python

==================================================

This is a minimal port of a few components of the matlab interface of

`the vlfeat library `_ for computer vision to Python.

vlfeat's core library is written in C. In practice, though, a significant

amount of the library lies in the MATLAB interface.

This project is a port of a few functions from that interface to python/numpy,

using ctypes. It contains only a few functions

(the ones needed for `py-sdm `_).

The process isn't very hard, it just takes some effort.

Patches adding additional functionality are welcome.

There's also a fork of vlfeat floating around that includes Boost::Python

wrappers. I couldn't get it to work, and didn't try too hard because I saw that

some of the functions I needed had significant amounts of matlab code anyway.

You might be more interested in it, though;

`Andreas Mueller's version `_

appears to be the most recently updated.

Installation

------------

The package can be installed by ``pip`` or ``easy_install`` normally. However,

in order to actually use it, you'll also need to download the vlfeat binary

library. You can either install ``libvl.so`` (or your platform's equivalent)

somewhere where ctypes can find it yourself, or use the included script for

doing so; run it with ``python -m vlfeat.download``. If you add a ``-h``

argument, it'll show you how to do it with a pre-downloaded binary distribution.

If you install Python packages with ``sudo``, you may need to do the same for

the download script.