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.