          
          x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
          
          return KerasModel(inpt, x)
      
      
      def Decoder_shaoanlu(self):       
          decoder_shape = self.IMAGE_SHAPE[0]//8        
          inpt = Input(shape=(decoder_shape, decoder_shape, 512))
          
          x = self.upscale_inst_norm(512)(inpt)
          x = self.upscale_inst_norm(256)(x)
          x = self.upscale_inst_norm(self.IMAGE_SHAPE[0])(x)
 
</s> remove         
        return KerasModel(inpt, x)    
 </s> add         return KerasModel(inpt, x) </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 KerasModel(impt, x, **kwargs)    
 </s> add         return KerasModel(impt, x, **kwargs) </s> remove             return x    
        return block 
        
 </s> add             return x
        return block
 </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
    def Decoder_shaoanlu(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8
          
          x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
          
          return KerasModel(inpt, x)
    def Decoder_shaoanlu(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8
    def Decoder_shaoanlu(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8
    def Decoder_shaoanlu(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8
    def Decoder_shaoanlu(self):
        decoder_shape = self.IMAGE_SHAPE[0]//8
          inpt = Input(shape=(decoder_shape, decoder_shape, 512))
          
          x = self.upscale_inst_norm(512)(inpt)
          x = self.upscale_inst_norm(256)(x)
          x = self.upscale_inst_norm(self.IMAGE_SHAPE[0])(x)
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