def createWidget(self, parent):
red = QColor(255,0,0)
green = QColor(0,255,0)
blue = QColor(0,0,255)
model = LabelListModel([Label("Label 1", red),
Label("Label 2", green),
Label("Label 3", blue)])
a=LabelListView(parent)
a.setModel(model)
return a
def createWidget(self, parent):
red = QColor(255, 0, 0)
green = QColor(0, 255, 0)
blue = QColor(0, 0, 255)
model = LabelListModel([
Label("Label 1", red),
Label("Label 2", green),
Label("Label 3", blue)
])
a = LabelListView(parent)
a.setModel(model)
return a
if __name__ == "__main__":
# ===========================================================================
# Example: of how the dotting interface works
# we generate a random signal a certain position every 200 milliseconds
# in order to simulate a signal of update from the graph.
# ===========================================================================
from ilastik.widgets.labelListModel import LabelListModel, Label
from ilastik.widgets.labelListView import LabelListView
from lazyflow.graph import Graph
app = QApplication([])
labelListModel = LabelListModel()
LV = LabelListView()
LV.setModel(labelListModel)
LV._table.setShowGrid(True)
g = Graph()
cron = QTimer()
cron.start(500 * 3)
op = OpArrayPiper2(graph=g) # Generate random noise
shape = (1, 500, 500, 1, 1)
array = np.random.randint(0, 255, 500 * 500).reshape(shape).astype(np.uint8)
op.Input.setValue(array)
def do():
# Generate
if __name__ == "__main__":
#===========================================================================
# Example: of how the dotting interface works
# we generate a random signal a certain position every 200 milliseconds
# in order to simulate a signal of update from the graph.
#===========================================================================
from ilastik.widgets.labelListModel import LabelListModel, Label
from ilastik.widgets.labelListView import LabelListView
from lazyflow.graph import Graph
app = QApplication([])
labelListModel = LabelListModel()
LV = LabelListView()
LV.setModel(labelListModel)
LV._table.setShowGrid(True)
g = Graph()
cron = QTimer()
cron.start(500 * 3)
op = OpArrayPiper2(graph=g) #Generate random noise
shape = (1, 500, 500, 1, 1)
array = np.random.randint(0, 255,
500 * 500).reshape(shape).astype(np.uint8)
op.Input.setValue(array)
def do():
