def setupInputs(self):
data_instructions = 'Use the "Raw Data" tab on the right to load your intensity image(s).'
self.dataSelectionApplet = DataSelectionApplet( self,
"Input Data",
"Input Data",
batchDataGui=False,
forceAxisOrder=None,
instructionText=data_instructions )
opData = self.dataSelectionApplet.topLevelOperator
opData.DatasetRoles.setValue(['Raw Data'])
self.featureSelectionApplet = FeatureSelectionApplet(
self,
"Feature Selection",
"FeatureSelections",
filter_implementation=self.filter_implementation
)
self.pcApplet = PixelClassificationApplet(
self, "PixelClassification")
self.thresholdingApplet = ThresholdTwoLevelsApplet(
self, "Thresholding", "ThresholdTwoLevels")
self._applets.append(self.dataSelectionApplet)
self._applets.append(self.featureSelectionApplet)
self._applets.append(self.pcApplet)
self._applets.append(self.thresholdingApplet)
def setupInputs(self):
data_instructions = 'Use the "Raw Data" tab on the right to load your intensity image(s).'
self.dataSelectionApplet = DataSelectionApplet( self,
"Input Data",
"Input Data",
batchDataGui=False,
forceAxisOrder=None,
instructionText=data_instructions )
opData = self.dataSelectionApplet.topLevelOperator
opData.DatasetRoles.setValue(['Raw Data'])
self.featureSelectionApplet = FeatureSelectionApplet(
self,
"Feature Selection",
"FeatureSelections",
)
self.pcApplet = PixelClassificationApplet(
self, "PixelClassification")
self.thresholdingApplet = ThresholdTwoLevelsApplet(
self, "Thresholding", "ThresholdTwoLevels")
self._applets.append(self.dataSelectionApplet)
self._applets.append(self.featureSelectionApplet)
self._applets.append(self.pcApplet)
self._applets.append(self.thresholdingApplet)
if not self._headless:
self._shell.currentAppletChanged.connect( self.handle_applet_changed )
def createInputApplets(self):
super().createInputApplets()
self.featureSelectionApplet = FeatureSelectionApplet(self, "Feature Selection", "FeatureSelections")
self.pcApplet = PixelClassificationApplet(self, "PixelClassification")
self.thresholdingApplet = ThresholdTwoLevelsApplet(self, "Thresholding", "ThresholdTwoLevels")
self._applets.append(self.featureSelectionApplet)
self._applets.append(self.pcApplet)
self._applets.append(self.thresholdingApplet)
if not self._headless:
self._shell.currentAppletChanged.connect(self.handle_applet_changed)
def setupInputs(self):
data_instructions = 'Use the "Raw Data" tab to load your intensity image(s).\n\n'\
'Use the "Prediction Maps" tab to load your pixel-wise probability image(s).'
self.dataSelectionApplet = DataSelectionApplet( self,
"Input Data",
"Input Data",
batchDataGui=False,
forceAxisOrder='txyzc',
instructionText=data_instructions )
opData = self.dataSelectionApplet.topLevelOperator
opData.DatasetRoles.setValue(['Raw Data', 'Prediction Maps'])
self._applets.append(self.dataSelectionApplet)
self.thresholdingApplet = ThresholdTwoLevelsApplet(self, "Threshold and Size Filter", "ThresholdTwoLevels")
self._applets.append(self.thresholdingApplet)
def createInputApplets(self):
super().createInputApplets()
self.thresholdingApplet = ThresholdTwoLevelsApplet(
self, "Threshold and Size Filter", "ThresholdTwoLevels")
self._applets.append(self.thresholdingApplet)