          x = Dense(self.ENCODER_DIM, kernel_initializer=_kern_init)(Flatten()(x))
          x = Dense(dense_shape * dense_shape * 512, kernel_initializer=_kern_init)(x)
          x = Reshape((dense_shape, dense_shape, 512))(x)
          x = self.upscale(512)(x)
          
          return KerasModel(impt, x, **kwargs)    
            
      
      def Encoder_shaoanlu(self, **kwargs):
          impt = Input(shape=self.IMAGE_SHAPE)
                  
          in_conv_filters = self.IMAGE_SHAPE[0] if self.IMAGE_SHAPE[0] <= 128 else 128 + (self.IMAGE_SHAPE[0]-128)//4
          
 
</s> remove         
        dense_shape = self.IMAGE_SHAPE[0] // 16         
 </s> add         dense_shape = self.IMAGE_SHAPE[0] // 16 </s> remove         
        return KerasModel(impt, x, **kwargs)    
 </s> add         return KerasModel(impt, x, **kwargs) </s> remove         x = self.conv_inst_norm(1024)(x)        
        
        dense_shape = self.IMAGE_SHAPE[0] // 16         
 </s> add         x = self.conv_inst_norm(1024)(x)

        dense_shape = self.IMAGE_SHAPE[0] // 16 </s> remove     def Decoder_original(self):       
        decoder_shape = self.IMAGE_SHAPE[0]//8        
 </s> add     def Decoder_original(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8 </s> remove             return x    
        return block 
        
 </s> add             return x
        return block

        return KerasModel(impt, x, **kwargs)


          x = Dense(self.ENCODER_DIM, kernel_initializer=_kern_init)(Flatten()(x))
          x = Dense(dense_shape * dense_shape * 512, kernel_initializer=_kern_init)(x)
          x = Reshape((dense_shape, dense_shape, 512))(x)
          x = self.upscale(512)(x)
        return KerasModel(impt, x, **kwargs)


        return KerasModel(impt, x, **kwargs)


        return KerasModel(impt, x, **kwargs)


        return KerasModel(impt, x, **kwargs)


      def Encoder_shaoanlu(self, **kwargs):
          impt = Input(shape=self.IMAGE_SHAPE)
                  
          in_conv_filters = self.IMAGE_SHAPE[0] if self.IMAGE_SHAPE[0] <= 128 else 128 + (self.IMAGE_SHAPE[0]-128)//4
          
keep keep keep keep replace replace replace replace keep keep keep keep keep
 Logging (#541)

* Convert prints to logger. Further logging improvements. Tidy  up

* Fix system verbosity. Allow SystemExit

* Fix reload extract bug

* Child Traceback handling

* Safer shutdown procedure

* Add shutdown event to queue manager

* landmarks_as_xy > property. GUI notes + linting. Aligner bugfix

* fix FaceFilter. Enable nFilter when no Filter is supplied

* Fix blurry face filter

* Continue on IO error. Better error handling

* Explicitly print stack trace tocrash log

* Windows Multiprocessing bugfix

* Add git info and conda version to crash log

* Windows/Anaconda mp bugfix

* Logging fixes for training 
plugins/model/Model_OriginalHighRes/Model.py