          return model_path
  
      def load_model(self, verbose, dummy, ratio):
          """ Load the Keras Model """
          if self.initialized:
              return
  
          self.verbose = verbose
          if self.verbose:
              print("Initializing keras model...")
  
          keras_graph = Graph()
 
</s> remove         if self.initialized:
            return

 </s> add  </s> remove         if self.initialized:
            return

 </s> add  </s> remove         if self.initialized:
            return
        self.initialize_vram(detector)
        self.initialize_keras(detector)
        # VRAM Scaling factor must be set AFTER Keras has loaded
        VRAM.set_scale_to(detector)
 </s> add         if not VRAM.initialized:
            self.initialize_vram(detector) </s> remove         self.initialize_detector(detector, mtcnn_kwargs)
        self.initialized = True
 </s> add         if not self.keras.initialized:
            self.initialize_keras(detector)
            # VRAM Scaling factor must be set AFTER Keras has loaded
            VRAM.set_scale_to(detector)

        if detector == "mtcnn":
            self.detector = MTCNN_DETECTOR
        else:
            self.detector = DLIB_DETECTORS

        if not self.detector.initialized:
            self.initialize_detector(detector, mtcnn_kwargs) </s> remove         if self.output_shown or not self.verbose:
 </s> add         if not self.verbose:
          return model_path
  
      def load_model(self, verbose, dummy, ratio):
          """ Load the Keras Model """



          self.verbose = verbose
          if self.verbose:
              print("Initializing keras model...")
  
          keras_graph = Graph()
keep keep keep keep replace replace replace keep keep keep keep keep
 Extract - Detector reinitialization bugfix 
lib/face_alignment/model.py