medpy.graphcut.wrapper.graphcut_subprocesses#

medpy.graphcut.wrapper.graphcut_subprocesses(graphcut_function, graphcut_arguments, processes=None)[source]#

Executes multiple graph cuts in parallel. This can result in a significant speed-up.

Parameters:
graphcut_functionfunction

The graph cut to use (e.g. graphcut_stawiaski).

graphcut_argumentstuple

List of arguments to pass to the respective subprocesses resp. the graphcut_function.

processesinteger or None

The number of processes to run simultaneously, if not supplied, will be the same as the number of processors.

Returns:
segmentationstuple of ndarray

The graph-cut segmentation results as list of boolean arraya.