def __init__(self, shell, headless, workflow_cmdline_args,
project_creation_args, *args, **kwargs):
# Create a graph to be shared by all operators
graph = Graph()
super(LayerViewerWorkflow, self).__init__(shell,
headless,
workflow_cmdline_args,
project_creation_args,
graph=graph,
*args,
**kwargs)
self._applets = []
# Create applets
self.dataSelectionApplet = DataSelectionApplet(
self,
"Input Data",
"Input Data",
supportIlastik05Import=True,
forceAxisOrder='tzyxc')
self.viewerApplet = LayerViewerApplet(self)
self.dataExportApplet = DataExportApplet(self, "Data Export")
opDataExport = self.dataExportApplet.topLevelOperator
opDataExport.SelectionNames.setValue(['Raw Data', 'Other Data'])
opDataSelection = self.dataSelectionApplet.topLevelOperator
opDataSelection.DatasetRoles.setValue(["Raw Data", "Other Data"])
self._applets.append(self.dataSelectionApplet)
self._applets.append(self.viewerApplet)
self._applets.append(self.dataExportApplet)
self._workflow_cmdline_args = workflow_cmdline_args
def __init__(self, headless, workflow_cmdline_args, *args, **kwargs):
# Create a graph to be shared by all operators
graph = Graph()
super(LayerViewerWorkflow, self).__init__(headless, graph=graph, *args, **kwargs)
self._applets = []
# Create applets
self.dataSelectionApplet = DataSelectionApplet(self,
"Input Data",
"Input Data",
supportIlastik05Import=True,
batchDataGui=False,
force5d=True)
self.viewerApplet = LayerViewerApplet(self)
self.dataExportApplet = DataExportApplet(self, "Data Export")
opDataSelection = self.dataSelectionApplet.topLevelOperator
opDataSelection.DatasetRoles.setValue( ["Raw Data", "Other Data"] )
self._applets.append( self.dataSelectionApplet )
self._applets.append( self.viewerApplet )
self._applets.append( self.dataExportApplet )
self._workflow_cmdline_args = workflow_cmdline_args
def __init__(self, shell, headless, workflow_cmdline_args,
project_creation_args, *args, **kwargs):
# Create a graph to be shared by all operators
graph = Graph()
super(LayerViewerWorkflow, self).__init__(shell,
headless,
workflow_cmdline_args,
project_creation_args,
graph=graph,
*args,
**kwargs)
self._applets = []
# Roles
# Create applets
self.dataSelectionApplet = DataSelectionApplet(self, "Input Data",
"Input Data")
self.viewerApplet = LayerViewerApplet(self)
self.dataExportApplet = DataExportApplet(self, "Data Export")
opDataExport = self.dataExportApplet.topLevelOperator
opDataExport.SelectionNames.setValue(ROLES)
opDataSelection = self.dataSelectionApplet.topLevelOperator
opDataSelection.DatasetRoles.setValue(ROLES)
self._applets.append(self.dataSelectionApplet)
self._applets.append(self.viewerApplet)
self._applets.append(self.dataExportApplet)
self._workflow_cmdline_args = workflow_cmdline_args
def __init__(self):
super(LayerViewerWorkflow, self).__init__()
self._applets = []
# Create a graph to be shared by all operators
graph = Graph()
# Create applets
self.dataSelectionApplet = DataSelectionApplet(
graph,
"Input Data",
"Input Data",
supportIlastik05Import=True,
batchDataGui=False)
self.viewerApplet = LayerViewerApplet(graph)
self._applets.append(self.dataSelectionApplet)
self._applets.append(self.viewerApplet)
# Connect top-level operators
self.viewerApplet.topLevelOperator.RawInput.connect(
self.dataSelectionApplet.topLevelOperator.Image)