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():