def setupLayers(self):
layers = []
opLane = self.topLevelOperatorView
# This code depends on a specific order for the export slots.
# If those change, update this function!
selection_names = opLane.SelectionNames.value
assert selection_names[0:4] == ['Probabilities', 'Simple Segmentation', 'Uncertainty', 'Features'] # see comment above
selection = selection_names[ opLane.InputSelection.value ]
if selection == 'Probabilities':
exportedLayers = self._initPredictionLayers(opLane.ImageOnDisk)
for layer in exportedLayers:
layer.visible = True
layer.name = layer.name + "- Exported"
layers += exportedLayers
previewLayers = self._initPredictionLayers(opLane.ImageToExport)
for layer in previewLayers:
layer.visible = False
layer.name = layer.name + "- Preview"
layers += previewLayers
elif selection == "Simple Segmentation":
exportedLayer = self._initSegmentationlayer(opLane.ImageOnDisk)
if exportedLayer:
exportedLayer.visible = True
exportedLayer.name = exportedLayer.name + " - Exported"
layers.append( exportedLayer )
previewLayer = self._initSegmentationlayer(opLane.ImageToExport)
if previewLayer:
previewLayer.visible = False
previewLayer.name = previewLayer.name + " - Preview"
layers.append( previewLayer )
elif selection == "Uncertainty":
if opLane.ImageToExport.ready():
previewUncertaintySource = LazyflowSource(opLane.ImageToExport)
previewLayer = AlphaModulatedLayer( previewUncertaintySource,
tintColor=QColor(0,255,255), # cyan
range=(0.0, 1.0),
normalize=(0.0,1.0) )
previewLayer.opacity = 0.5
previewLayer.visible = False
previewLayer.name = "Uncertainty - Preview"
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedUncertaintySource = LazyflowSource(opLane.ImageOnDisk)
exportedLayer = AlphaModulatedLayer( exportedUncertaintySource,
tintColor=QColor(0,255,255), # cyan
range=(0.0, 1.0),
normalize=(0.0,1.0) )
exportedLayer.opacity = 0.5
exportedLayer.visible = True
exportedLayer.name = "Uncertainty - Exported"
layers.append(exportedLayer)
else: # Features and all other layers.
if selection != "Features":
warnings.warn("Not sure how to display '{}' result. Showing with default layer settings."
.format(selection))
if opLane.ImageToExport.ready():
previewLayer = self.createStandardLayerFromSlot( opLane.ImageToExport )
previewLayer.visible = False
previewLayer.name = "{} - Preview".format( selection )
previewLayer.set_normalize( 0, None )
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedLayer = self.createStandardLayerFromSlot( opLane.ImageOnDisk )
exportedLayer.visible = True
exportedLayer.name = "{} - Exported".format( selection )
exportedLayer.set_normalize( 0, None )
layers.append(exportedLayer)
# If available, also show the raw data layer
rawSlot = opLane.FormattedRawData
if rawSlot.ready():
rawLayer = self.createStandardLayerFromSlot( rawSlot )
rawLayer.name = "Raw Data"
rawLayer.visible = True
rawLayer.opacity = 1.0
layers.append( rawLayer )
return layers
def setupLayers(self):
layers = []
opLane = self.topLevelOperatorView
# This code depends on a specific order for the export slots.
# If those change, update this function!
selection_names = opLane.SelectionNames.value
# see comment above
for name, expected in zip(selection_names[0:5], [
'Probabilities', 'Simple Segmentation', 'Uncertainty',
'Features', 'Labels'
]):
assert name.startswith(
expected
), "The Selection Names don't match the expected selection names."
selection = selection_names[opLane.InputSelection.value]
if selection.startswith('Probabilities'):
exportedLayers = self._initPredictionLayers(opLane.ImageOnDisk)
for layer in exportedLayers:
layer.visible = True
layer.name = layer.name + "- Exported"
layers += exportedLayers
previewLayers = self._initPredictionLayers(opLane.ImageToExport)
for layer in previewLayers:
layer.visible = False
layer.name = layer.name + "- Preview"
layers += previewLayers
elif selection.startswith(
"Simple Segmentation") or selection.startswith("Labels"):
exportedLayer = self._initColortablelayer(opLane.ImageOnDisk)
if exportedLayer:
exportedLayer.visible = True
exportedLayer.name = selection + " - Exported"
layers.append(exportedLayer)
previewLayer = self._initColortablelayer(opLane.ImageToExport)
if previewLayer:
previewLayer.visible = False
previewLayer.name = selection + " - Preview"
layers.append(previewLayer)
elif selection.startswith("Uncertainty"):
if opLane.ImageToExport.ready():
previewUncertaintySource = LazyflowSource(opLane.ImageToExport)
previewLayer = AlphaModulatedLayer(
previewUncertaintySource,
tintColor=QColor(0, 255, 255), # cyan
range=(0.0, 1.0),
normalize=(0.0, 1.0))
previewLayer.opacity = 0.5
previewLayer.visible = False
previewLayer.name = "Uncertainty - Preview"
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedUncertaintySource = LazyflowSource(opLane.ImageOnDisk)
exportedLayer = AlphaModulatedLayer(
exportedUncertaintySource,
tintColor=QColor(0, 255, 255), # cyan
range=(0.0, 1.0),
normalize=(0.0, 1.0))
exportedLayer.opacity = 0.5
exportedLayer.visible = True
exportedLayer.name = "Uncertainty - Exported"
layers.append(exportedLayer)
else: # Features and all other layers.
if selection.startswith("Features"):
warnings.warn(
"Not sure how to display '{}' result. Showing with default layer settings."
.format(selection))
if opLane.ImageToExport.ready():
previewLayer = self.createStandardLayerFromSlot(
opLane.ImageToExport)
previewLayer.visible = False
previewLayer.name = "{} - Preview".format(selection)
previewLayer.set_normalize(0, None)
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedLayer = self.createStandardLayerFromSlot(
opLane.ImageOnDisk)
exportedLayer.visible = True
exportedLayer.name = "{} - Exported".format(selection)
exportedLayer.set_normalize(0, None)
layers.append(exportedLayer)
# If available, also show the raw data layer
rawSlot = opLane.FormattedRawData
if rawSlot.ready():
rawLayer = self.createStandardLayerFromSlot(rawSlot)
rawLayer.name = "Raw Data"
rawLayer.visible = True
rawLayer.opacity = 1.0
layers.append(rawLayer)
return layers
def setupLayers(self):
layers = []
opLane = self.topLevelOperatorView
# This code depends on a specific order for the export slots.
# If those change, update this function!
selection_names = opLane.SelectionNames.value
assert selection_names == [
'Probabilities', 'Simple Segmentation', 'Uncertainty', 'Features'
] # see comment above
selection = selection_names[opLane.InputSelection.value]
if selection == 'Probabilities':
exportedLayers = self._initPredictionLayers(opLane.ImageOnDisk)
for layer in exportedLayers:
layer.visible = True
layer.name = layer.name + "- Exported"
layers += exportedLayers
previewLayers = self._initPredictionLayers(opLane.ImageToExport)
for layer in previewLayers:
layer.visible = False
layer.name = layer.name + "- Preview"
layers += previewLayers
elif selection == "Simple Segmentation":
exportedLayer = self._initSegmentationlayer(opLane.ImageOnDisk)
if exportedLayer:
exportedLayer.visible = True
exportedLayer.name = exportedLayer.name + " - Exported"
layers.append(exportedLayer)
previewLayer = self._initSegmentationlayer(opLane.ImageToExport)
if previewLayer:
previewLayer.visible = False
previewLayer.name = previewLayer.name + " - Preview"
layers.append(previewLayer)
elif selection == "Uncertainty":
if opLane.ImageToExport.ready():
previewUncertaintySource = LazyflowSource(opLane.ImageToExport)
previewLayer = AlphaModulatedLayer(
previewUncertaintySource,
tintColor=QColor(0, 255, 255), # cyan
range=(0.0, 1.0),
normalize=(0.0, 1.0))
previewLayer.opacity = 0.5
previewLayer.visible = False
previewLayer.name = "Uncertainty - Preview"
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedUncertaintySource = LazyflowSource(opLane.ImageOnDisk)
exportedLayer = AlphaModulatedLayer(
exportedUncertaintySource,
tintColor=QColor(0, 255, 255), # cyan
range=(0.0, 1.0),
normalize=(0.0, 1.0))
exportedLayer.opacity = 0.5
exportedLayer.visible = True
exportedLayer.name = "Uncertainty - Exported"
layers.append(exportedLayer)
elif selection == "Features":
if opLane.ImageToExport.ready():
previewLayer = self.createStandardLayerFromSlot(
opLane.ImageToExport)
previewLayer.visible = False
previewLayer.name = "Features - Preview"
previewLayer.set_normalize(0, None)
layers.append(previewLayer)
if opLane.ImageOnDisk.ready():
exportedLayer = self.createStandardLayerFromSlot(
opLane.ImageOnDisk)
exportedLayer.visible = True
exportedLayer.name = "Features - Exported"
exportedLayer.set_normalize(0, None)
layers.append(exportedLayer)
# If available, also show the raw data layer
rawSlot = opLane.FormattedRawData
if rawSlot.ready():
rawLayer = self.createStandardLayerFromSlot(rawSlot)
rawLayer.name = "Raw Data"
rawLayer.visible = True
rawLayer.opacity = 1.0
layers.append(rawLayer)
return layers
