def initFeatureDlg(self):
"""
Initialize the feature selection widget.
"""
self.initFeatureOrder()
self.featureDlg = FeatureDlg()
self.featureDlg.setWindowTitle("Features")
# Map from groups of feature IDs to groups of feature NAMEs
groupedNames = []
for group, featureIds in self.FeatureGroups:
featureEntries = []
for featureId in featureIds:
featureName = self.FeatureNames[featureId]
featureEntries.append(FeatureEntry(featureName))
groupedNames.append((group, featureEntries))
self.featureDlg.createFeatureTable(groupedNames, self.ScalesList)
self.featureDlg.setImageToPreView(None)
# Init with no features
rows = len(self.mainOperator.FeatureIds.value)
cols = len(self.mainOperator.Scales.value)
defaultFeatures = numpy.zeros((rows, cols), dtype=bool)
self.featureDlg.selectedFeatureBoolMatrix = defaultFeatures
self.featureDlg.accepted.connect(self.onNewFeaturesFromFeatureDlg)
def initFeatureDlg(self):
"""
Initialize the feature selection widget.
"""
self.initFeatureOrder()
self.featureDlg = FeatureDlg(parent=self)
self.featureDlg.setWindowTitle("Features")
try:
size = PreferencesManager().get("featureSelection", "dialog size")
self.featureDlg.resize(*size)
except TypeError:
pass
def saveSize():
size = self.featureDlg.size()
s = (size.width(), size.height())
PreferencesManager().set("featureSelection", "dialog size", s)
self.featureDlg.accepted.connect(saveSize)
# Map from groups of feature IDs to groups of feature NAMEs
groupedNames = []
for group, featureIds in self.FeatureGroups:
featureEntries = []
for featureId in featureIds:
featureName = self.FeatureNames[featureId]
featureEntries.append(FeatureEntry(featureName))
groupedNames.append((group, featureEntries))
self.featureDlg.createFeatureTable(
groupedNames, self.ScalesList,
self.topLevelOperatorView.WINDOW_SIZE)
self.featureDlg.setImageToPreView(None)
# Init with no features
rows = len(self.topLevelOperatorView.FeatureIds.value)
cols = len(self.topLevelOperatorView.Scales.value)
defaultFeatures = numpy.zeros((rows, cols), dtype=bool)
self.featureDlg.selectedFeatureBoolMatrix = defaultFeatures
self.featureDlg.accepted.connect(self.onNewFeaturesFromFeatureDlg)
# Disable the first column, except for the first item.
# This is a slightly hacky way of fixing ilastik issue #610.
# Besides color, the features at a sigma of 0.3 are not valid because the
# results are overwhelmed by the inherent sampling noise of the filter.
# (This is a bit hacky because we ASSUME the first feature is Gaussian
# Smoothing. It works for now.)
enabled_item_mask = numpy.ones(defaultFeatures.shape, dtype=bool)
enabled_item_mask[1:, 0] = False # hacky
self.featureDlg.setEnableItemMask(enabled_item_mask)
def initFeatureDlg(self):
"""
Initialize the feature selection widget.
"""
self.featureDlg = FeatureDlg(parent=self)
self.featureDlg.setWindowTitle("Features")
try:
size = preferences.get("featureSelection", "dialog size")
self.featureDlg.resize(*size)
except TypeError:
pass
def saveSize():
size = self.featureDlg.size()
s = (size.width(), size.height())
preferences.set("featureSelection", "dialog size", s)
self.featureDlg.accepted.connect(saveSize)
self.featureDlg.setImageToPreView(None)
self.featureDlg.accepted.connect(self.onNewFeaturesFromFeatureDlg)
def initFeatureDlg(self):
"""
Initialize the feature selection widget.
"""
self.initFeatureOrder()
self.featureDlg = FeatureDlg(parent=self)
self.featureDlg.setWindowTitle("Features")
try:
size = PreferencesManager().get("featureSelection", "dialog size")
self.featureDlg.resize(*size)
except TypeError:
pass
def saveSize():
size = self.featureDlg.size()
s = (size.width(), size.height())
PreferencesManager().set("featureSelection", "dialog size", s)
self.featureDlg.accepted.connect(saveSize)
# Map from groups of feature IDs to groups of feature NAMEs
groupedNames = []
for group, featureIds in self.FeatureGroups:
featureEntries = []
for featureId in featureIds:
featureName = self.FeatureNames[featureId]
featureEntries.append(FeatureEntry(featureName))
groupedNames.append((group, featureEntries))
self.featureDlg.createFeatureTable(groupedNames, self.ScalesList)
self.featureDlg.setImageToPreView(None)
# Init with no features
rows = len(self.topLevelOperatorView.FeatureIds.value)
cols = len(self.topLevelOperatorView.Scales.value)
defaultFeatures = numpy.zeros((rows, cols), dtype=bool)
self.featureDlg.selectedFeatureBoolMatrix = defaultFeatures
self.featureDlg.accepted.connect(self.onNewFeaturesFromFeatureDlg)
