def OnChangeFeatures(self, event):
#---------------------------------------------------------------------------
from gamera import plugin
from gamera.core import ONEBIT
from gamera.core import ImageBase
from gamera.args import Args, Check
if self.classifier is None:
gui.message("No classifier loaded")
return
allFeatures = [x[0] for x in plugin.methods_flat_category("Features", ONEBIT)]
allFeatures.sort()
existingFeatures = [x[0] for x in ImageBase.get_feature_functions(self.classifier.features)[0]]
featureControls = []
for f in allFeatures:
featureControls.append(Check('', f, default=(f in existingFeatures)))
dialog = Args(featureControls, name = "Feature selection",
title="Select the features you want to use for optimization")
result = dialog.show(self)
if result is None:
gui_util.message("No change applied")
return
selectedFeatures = [name for check, name in zip(result, allFeatures) if check]
self.classifier.change_feature_set(selectedFeatures)
self.UpdatePanels()
def OnChangeFeatures(self, event):
# ---------------------------------------------------------------------------
from gamera import plugin
from gamera.core import ONEBIT
from gamera.core import ImageBase
from gamera.args import Args, Check
if self.classifier == None:
gui.message("No classifier loaded")
return
allFeatures = [x[0] for x in plugin.methods_flat_category("Features", ONEBIT)]
allFeatures.sort()
existingFeatures = [x[0] for x in ImageBase.get_feature_functions(self.classifier.features)[0]]
featureControls = []
for f in allFeatures:
featureControls.append(Check("", f, default=(f in existingFeatures)))
dialog = Args(
featureControls, name="Feature selection", title="Select the features you want to use for optimization"
)
result = dialog.show(self)
if result == None:
gui_util.message("No change applied")
return
selectedFeatures = [name for check, name in zip(result, allFeatures) if check]
self.classifier.change_feature_set(selectedFeatures)
self.UpdatePanels()
def OnOpenClassifier(self, event):
#---------------------------------------------------------------------------
from gamera.args import Args, Class
from gamera.gui import gui
from gamera import knn
dialog = Args(
[Class("Classifier", knn._kNNBase)],
name="Select an existing classifier...")
results = dialog.show(
self, gui.main_win.shell.locals,
docstring="""Choose an already created classifier for optimization.""")
if results is None:
return
self.classifier = results[0]
if isinstance(self.classifier, knn.kNNInteractive):
gui_util.message("Given interactive classifier will be converted"\
" to noninteractive classifier for optimization (internal)")
self.classifier = self.CopyClassifier(self.classifier)
self.SetClassifiers()
self.UpdatePanels()
self.EnableControls(True)
def OnOpenClassifier(self, event):
# ---------------------------------------------------------------------------
from gamera.args import Args, Class
from gamera.gui import gui
from gamera import knn
dialog = Args([Class("Classifier", knn._kNNBase)], name="Select an existing classifier...")
results = dialog.show(
self, gui.main_win.shell.locals, docstring="""Choose an already created classifier for optimization."""
)
if results == None:
return
self.classifier = results[0]
if isinstance(self.classifier, knn.kNNInteractive):
gui_util.message(
"Given interactive classifier will be converted"
" to noninteractive classifier for optimization (internal)"
)
self.classifier = self.CopyClassifier(self.classifier)
self.SetClassifiers()
self.UpdatePanels()
self.EnableControls(True)