def __init__(self):
config_reader = ConfigReader()
self.__PROTO_FILE = config_reader.get_string_property('ProtoFile')
self.__WEIGHTS_FILE = config_reader.get_string_property('WeightsFile')
quantized_lab_space_path = config_reader.get_string_property('QuantizedLabSpace')
self.__QUANTIZED_LAB_SPACE = np.load(quantized_lab_space_path).transpose().reshape(2, 313, 1, 1)
self.__INPUT_WIDTH = config_reader.get_int_property('Width')
self.__INPUT_HEIGHT = config_reader.get_int_property('Height')
self.__neural_network = cv2.dnn.readNetFromCaffe(self.__PROTO_FILE, self.__WEIGHTS_FILE)
self.__populate_network_layers_with_quantized_lab_space()
