def __init__(self,
graph,
title,
projectFileGroupName,
supportIlastik05Import=False,
batchDataGui=False):
super(DataSelectionApplet, self).__init__(title)
# Our top-level operator is wrapped to enable multi-image support.
# All inputs are common to all inputs except for the 'Dataset' input, which is unique for each image.
# Hence, 'Dataset' is the only 'promoted' slot.
self._topLevelOperator = OperatorWrapper(OpDataSelection,
graph=graph,
promotedSlotNames=set(
['Dataset']))
self._serializableItems = [
DataSelectionSerializer(self._topLevelOperator,
projectFileGroupName)
]
if supportIlastik05Import:
self._serializableItems.append(
Ilastik05DataSelectionDeserializer(self._topLevelOperator))
self._gui = None
self.batchDataGui = batchDataGui
self._preferencesManager = DataSelectionPreferencesManager()
def __init__(self,
workflow,
title,
projectFileGroupName,
supportIlastik05Import=False,
batchDataGui=False,
force5d=False,
instructionText=DEFAULT_INSTRUCTIONS,
max_lanes=None,
show_axis_details=False):
self.__topLevelOperator = OpMultiLaneDataSelectionGroup(
parent=workflow, force5d=force5d)
super(DataSelectionApplet, self).__init__(title,
syncWithImageIndex=False)
self._serializableItems = [
DataSelectionSerializer(self.topLevelOperator,
projectFileGroupName)
]
if supportIlastik05Import:
self._serializableItems.append(
Ilastik05DataSelectionDeserializer(self.topLevelOperator))
self._instructionText = instructionText
self._gui = None
self._batchDataGui = batchDataGui
self._title = title
self._max_lanes = max_lanes
self.busy = False
self.show_axis_details = show_axis_details