                  
          in_conv_filters = self.IMAGE_SHAPE[0] if self.IMAGE_SHAPE[0] <= 128 else 128 + (self.IMAGE_SHAPE[0]-128)//4
          
          x = Conv2D(in_conv_filters, kernel_size=5, use_bias=False, padding="same")(impt)
          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)        
          
          dense_shape = self.IMAGE_SHAPE[0] // 16         
          x = Dense(self.ENCODER_DIM)(Flatten()(x))
          x = Dense(dense_shape * dense_shape * 768)(x)
          x = Reshape((dense_shape, dense_shape, 768))(x)
 
</s> remove         x = Dense(self.ENCODER_DIM)(Flatten()(x))
        x = Dense(dense_shape * dense_shape * 768)(x)
 </s> add         x = Dense(self.ENCODER_DIM, kernel_initializer=_kern_init)(Flatten()(x))
        x = Dense(dense_shape * dense_shape * 768, kernel_initializer=_kern_init)(x) </s> remove         x = Dense(self.ENCODER_DIM, kernel_initializer=RandomNormal(0, 0.02))(Flatten()(x))
        x = Dense(dense_shape * dense_shape * 512, kernel_initializer=RandomNormal(0, 0.02))(x)
 </s> add         x = Dense(self.ENCODER_DIM, kernel_initializer=_kern_init)(Flatten()(x))
        x = Dense(dense_shape * dense_shape * 512, kernel_initializer=_kern_init)(x) </s> remove         x = self.upscale_sep3(512)(inpt)
        x = self.upscale_sep3(256)(x)
        x = self.upscale_sep3(self.IMAGE_SHAPE[0])(x)
 </s> add         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                        kernel_initializer=RandomNormal(0, 0.02), padding='same', **kwargs)(x)
 </s> add                        kernel_initializer=_kern_init, padding='same', **kwargs)(x) </s> remove                        kernel_initializer=RandomNormal(0, 0.02))(x)
 </s> add                        kernel_initializer=_kern_init)(x)
        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)        
                  
          in_conv_filters = self.IMAGE_SHAPE[0] if self.IMAGE_SHAPE[0] <= 128 else 128 + (self.IMAGE_SHAPE[0]-128)//4
          
          x = Conv2D(in_conv_filters, kernel_size=5, use_bias=False, padding="same")(impt)
        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)        
        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)        
        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)        
        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)        
          
          dense_shape = self.IMAGE_SHAPE[0] // 16         
          x = Dense(self.ENCODER_DIM)(Flatten()(x))
          x = Dense(dense_shape * dense_shape * 768)(x)
          x = Reshape((dense_shape, dense_shape, 768))(x)
keep keep keep keep replace 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