Python wrappers for VIGRA
Project description
pyVIGRA provides minimalistic Python wrappers for the VIGRA library
(http://hci.iwr.uni-heidelberg.de/vigra/index.html), a fast C++
library for image processing.
Highlights:
* Automated configurable build of the extension and required VIGRA and
boost.python shared libraries with setuptools, tested on Windows, Mac OS-X and
Linux;
* Optional export of VIGRA images and multi_arrays to numpy array (either as
view or as copy);
* A hierarchy of generic image classes that extend the underlying C++ extension
classes in Python using metaclass injection (as described here
http://www.boost.org/doc/libs/1_39_0/libs/python/doc/tutorial/doc/html/python/techniques.html).
(http://hci.iwr.uni-heidelberg.de/vigra/index.html), a fast C++
library for image processing.
Highlights:
* Automated configurable build of the extension and required VIGRA and
boost.python shared libraries with setuptools, tested on Windows, Mac OS-X and
Linux;
* Optional export of VIGRA images and multi_arrays to numpy array (either as
view or as copy);
* A hierarchy of generic image classes that extend the underlying C++ extension
classes in Python using metaclass injection (as described here
http://www.boost.org/doc/libs/1_39_0/libs/python/doc/tutorial/doc/html/python/techniques.html).
