Skip to content

Python library for creating flow networks and computing the maxflow/mincut (aka graph-cuts for Python)

Notifications You must be signed in to change notification settings

Evanzhouwen/PyMaxflow

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

63 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PyMaxflow is a Python library for graph construction and maxflow computation (commonly known as graph cuts). The core of this library is the C++ implementation by Vladimir Kolmogorov, which can be downloaded from his homepage. Besides the wrapper to the C++ library, PyMaxflow offers

  • NumPy integration,
  • methods for fast construction of common graph layouts in computer vision and graphics,
  • implementation of algorithms for fast energy minimization which use the maxflow method: the αβ-swap and the α-expansion.

Take a look at the PyMaxflow documentation.

Requirements

You need the following libraries and tools installed on you system in order to build PyMaxflow:

They should be automatically downloaded and installed if PyMaxflow is installed via PyPI using pip install (see below).

Installation via PyPI

Open a terminal and write:

$ pip install PyMaxflow

Depending on your local configuration, you might need admin privileges. In that case, login as root or use sudo before pip install.

Manual installation

Download the source code or clone the Github repository. Then, open a terminal and write:

$ cd path/to/PyMaxflow
$ python setup.py build
... lots of text ...

If everything went OK, you should be able to install the package with:

$ sudo python setup.py install

Documentation

The documentation of the package is available under the doc directory. To generate the HTML documentation, use:

$ cd doc/
$ make html

About

Python library for creating flow networks and computing the maxflow/mincut (aka graph-cuts for Python)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 54.6%
  • Python 45.0%
  • C 0.4%