def add_control_pane(self, fixed_width=220):
# Control pane widget
self.vpane = ZVerticalPane(self, fixed_width)
self.block_size = 11
self.adaptive_method_id = 0;
self.threshold_type_id = 0;
self.methods = {"ADAPTIVE_THRESH_MEAN_C": cv2.ADAPTIVE_THRESH_MEAN_C,
"ADAPTIVE_THRESH_GAUSSIAN_C": cv2.ADAPTIVE_THRESH_GAUSSIAN_C}
self.types = {"THRESH_BINARY": cv2.THRESH_BINARY ,
"THRESH_BINARY_INV": cv2.THRESH_BINARY_INV }
self.adaptive_method = ZLabeledComboBox(self.vpane, "AdaptiveMethod")
self.adaptive_method.add_items(list(self.methods.keys() ))
self.adaptive_method.add_activated_callback(self.adaptive_method_activated)
self.threshold_type = ZLabeledComboBox(self.vpane, "ThresholdType")
self.threshold_type.add_items(list(self.types.keys()) )
self.threshold_type.add_activated_callback(self.threshold_type_activated)
self.labeled_slider = ZLabeledSlider(self.vpane, "BlockSize", take_odd =True,
minimum=3, maximum=43, value=self.block_size, fixed_width=200)
self.labeled_slider.add_value_changed_callback(self.slider_value_changed)
self.vpane.add(self.adaptive_method)
self.vpane.add(self.threshold_type)
self.vpane.add(self.labeled_slider)
self.set_right_dock(self.vpane)
def add_datasets_combobox(self):
self.dataset_id = Iris
self.datasets_combobox = ZLabeledComboBox(self, "Datasets",
Qt.Horizontal)
# We use the following datasets of sklearn to test XGBClassifier.
self.datasets = {
"Iris": Iris,
"Digits": Digits,
"Wine": Wine,
"BreastCancer": BreastCancer
}
title = self.get_title()
self.setWindowTitle("Iris" + " - " + title)
self.datasets_combobox.add_items(self.datasets.keys())
self.datasets_combobox.add_activated_callback(self.datasets_activated)
self.datasets_combobox.set_current_text(self.dataset_id)
self.start_button = ZPushButton("Start", self)
self.clear_button = ZPushButton("Clear", self)
self.start_button.add_activated_callback(self.start_button_activated)
self.clear_button.add_activated_callback(self.clear_button_activated)
self.datasets_combobox.add(self.start_button)
self.datasets_combobox.add(self.clear_button)
self.set_top_dock(self.datasets_combobox)
def add_datasets_combobox(self):
self.dataset_id = Boston
self.datasets_combobox = ZLabeledComboBox(self, "Datasets",
Qt.Horizontal)
self.datasets_combobox.setFont(self.font)
# We use the following datasets of sklearn to test XGBRegressor.
self.datasets = {"Boston": Boston, "Diabetes": Diabetes}
title = self.get_title()
self.setWindowTitle("Boston" + " - " + title)
self.datasets_combobox.add_items(self.datasets.keys())
self.datasets_combobox.add_activated_callback(self.datasets_activated)
self.datasets_combobox.set_current_text(self.dataset_id)
self.start_button = ZPushButton("Start", self)
self.clear_button = ZPushButton("Clear", self)
self.start_button.setFont(self.font)
self.clear_button.setFont(self.font)
self.start_button.add_activated_callback(self.start_button_activated)
self.clear_button.add_activated_callback(self.clear_button_activated)
self.datasets_combobox.add(self.start_button)
self.datasets_combobox.add(self.clear_button)
self.set_top_dock(self.datasets_combobox)
def add_datasets_combobox(self):
datasetkey = list(self.datasets.keys())[0]
self.dataset_id = self.datasets[datasetkey]
print("Current combobox item {} {}".format(datasetkey, self.dataset_id))
self.datasets_combobox = ZLabeledComboBox(self, "Datasets", Qt.Horizontal)
self.datasets_combobox.setFont(self.font)
title = self.get_title()
self.setWindowTitle(self.__class__.__name__ + " - " + title)
self.datasets_combobox.add_items(self.datasets.keys())
self.datasets_combobox.add_activated_callback(self.datasets_activated)
self.datasets_combobox.set_current_text(self.dataset_id)
self.classifier_button = ZPushButton("Classify", self)
self.classifier_button.setEnabled(False)
self.clear_button = ZPushButton("Clear", self)
self.classifier_button.add_activated_callback(self.classifier_button_activated)
self.clear_button.add_activated_callback(self.clear_button_activated)
self.datasets_combobox.add(self.classifier_button)
self.datasets_combobox.add(self.clear_button)
self.set_top_dock(self.datasets_combobox)