def METHOD_NAME(self):
    classes_file = os.path.join(self.path, CLASS_DESCRIPTIONS_FILE)
    class_data = np.loadtxt(classes_file, delimiter=",", dtype=str)
    # class ID zero is background
    self.machine_to_arg['background'] = 0
    self.machine_to_human_name['background'] = 'background'
    class_names, class_arg = [], 1
    class_names.append('background')
    for machine_name, human_name in class_data:
        if self.class_names == 'all':
            self.machine_to_human_name[machine_name] = human_name
            self.machine_to_arg[machine_name] = class_arg
            class_names.append(human_name)
            class_arg = class_arg + 1
        elif human_name in self.class_names:
            self.machine_to_human_name[machine_name] = human_name
            self.machine_to_arg[machine_name] = class_arg
            class_names.append(human_name)
            class_arg = class_arg + 1
    self._class_names = class_names
    self._num_classes = len(self.machine_to_arg)
    print("Found {} {} classes".format(self.num_classes, self.split))