Speaker
Mr
Klaus Zimmermann
(Freiburger Materialforschungszentrum, Universität Freiburg)
Description
We present the Open Source framework Pyphant for the creation and application of
data flow models. The central idea of this approach is to encapsulate each data
processing step in one unit which we call a worker. A worker receives input via
sockets and provides the results of its data processing via plugs. These can be
inserted into other worker's sockets. The resulting directed graph is called a
recipe. Classes for these objects comprise the Pyphant core. To implement
actual processing steps Pyphant relies on third party plug-ins which extend the
basic worker class and can be distributed in so-called Pyphant-worker-archives
(PWA).
On top of the core, Pyphant offers a data exchange layer based on scipy
arrays and PIL images which facilitates the interoperability of the workers. A
third layer comprises textual and graphical user interfaces. The latter allows
for the interactive construction of recipes, the former for the batch processing
of data.
Our contribution discusses the Pyphant framework and presents example recipes
for certain scientific data analysis tasks taken from image processing and the
solution of ill-posed problems.
Primary author
Mr
Klaus Zimmermann
(Freiburger Materialforschungszentrum, Universität Freiburg)
Co-authors
Dr
Andreas W. Liehr
(Freiburger Materialforschungszentrum, Universität Freiburg)
Mr
Lorenz Quack
(Freiburger Materialforschungszentrum, Universität Freiburg)
