      def Decoder_shaoanlu(self):       
          decoder_shape = self.IMAGE_SHAPE[0]//8        
          inpt = Input(shape=(decoder_shape, decoder_shape, 512))
          
          x = self.upscale_sep3(512)(inpt)
          x = self.upscale_sep3(256)(x)
          x = self.upscale_sep3(self.IMAGE_SHAPE[0])(x)
          
          x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
          
          return KerasModel(inpt, x)    
  
 
</s> remove             x = Conv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=RandomNormal(0, 0.02), padding='same', **kwargs)(x)         
 </s> add             x = Conv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=_kern_init, padding='same', **kwargs)(x)          </s> remove             x = SeparableConv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=RandomNormal(0, 0.02), padding='same', **kwargs)(x)
 </s> add             x = SeparableConv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=_kern_init, padding='same', **kwargs)(x) </s> remove                        kernel_initializer=RandomNormal(0, 0.02), padding='same', **kwargs)(x)
 </s> add                        kernel_initializer=_kern_init, padding='same', **kwargs)(x) </s> remove         x = self.conv_sep3(in_conv_filters+32, use_instance_norm=False)(x)
        x = self.conv_sep3(256)(x)        
        x = self.conv_sep3(512)(x)
        x = self.conv_sep3(1024)(x)        
 </s> add         x = self.conv_inst_norm(in_conv_filters+32, use_instance_norm=False)(x)
        x = self.conv_inst_norm(256)(x)        
        x = self.conv_inst_norm(512)(x)
        x = self.conv_inst_norm(1024)(x)         </s> remove             x = SeparableConv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=RandomNormal(0, 0.02), padding='same', **kwargs)(x)        
 </s> add             x = SeparableConv2D(filters, kernel_size=kernel_size, strides=strides, kernel_initializer=_kern_init, padding='same', **kwargs)(x)        
        x = self.upscale_inst_norm(512)(inpt)
        x = self.upscale_inst_norm(256)(x)
        x = self.upscale_inst_norm(self.IMAGE_SHAPE[0])(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)
        x = self.upscale_inst_norm(512)(inpt)
        x = self.upscale_inst_norm(256)(x)
        x = self.upscale_inst_norm(self.IMAGE_SHAPE[0])(x)
        x = self.upscale_inst_norm(512)(inpt)
        x = self.upscale_inst_norm(256)(x)
        x = self.upscale_inst_norm(self.IMAGE_SHAPE[0])(x)
          
          x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
          
          return KerasModel(inpt, x)    
  
keep keep keep keep replace replace replace keep keep keep keep keep
 Merge staging to Master (#470)

* DLib scaling amends (#461)

* Scaling area fix and rework of frames and bounding boxes

* Update DLib scaling and initialization

* Extract - Detector reinitialization bugfix

* Slight OriginaHightRes Model re-factoring (#464)

* Model re-factoring, might fix red screen of death on multi-gpu configurations

* Limited trainer support for various INPUT_SIZE

* Auto Extraction multiprocess bugfix

* Sort tool bugfixes and linting 
plugins/Model_OriginalHighRes/Model.py