      SHAOANLU = "shaoanlu"
      
  ENCODER = EncoderType.ORIGINAL 
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_BH5': 'decoder_B_{version_str}{ENCODER.value}.h5'.format(**vars())}
  >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_BH5': 'decoder_B_{version_str}{ENCODER.value}.h5'.format(**vars())}
  
 
</s> remove <<<<<<< HEAD

=======
>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove <<<<<<< HEAD
 </s> add  </s> remove 
        #generator = TrainingDataGenerator(self.random_transform_args, 160)                
        # make sre to keep zoom=2 or you won't get 128x128 vectors as input
        #generator = TrainingDataGenerator(self.random_transform_args, 220, 5, zoom=2)
        #generator = TrainingDataGenerator(self.random_transform_args, 180, 7, zoom=2)
 </s> add  </s> remove <<<<<<< HEAD
        
        x = Conv2D(3, kernel_size=5, padding='same', activation='sigmoid')(x)
        
        return KerasModel(inpt, x)
    
    
=======
 </s> add  </s> remove >>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add 
      SHAOANLU = "shaoanlu"
      
  ENCODER = EncoderType.ORIGINAL 
  




  
  hdf = {'encoderH5': 'encoder_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_AH5': 'decoder_A_{version_str}{ENCODER.value}.h5'.format(**vars()),
         'decoder_BH5': 'decoder_B_{version_str}{ENCODER.value}.h5'.format(**vars())}
  
keep keep keep keep replace replace replace replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Model.py