          self.model = model
          from timeit import default_timer as clock
          self._clock = clock
          
  
          #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)
          generator = TrainingDataGenerator(self.random_transform_args, 160, 5, zoom=2)        
          
          self.images_A = generator.minibatchAB(fn_A, self.batch_size)
          self.images_B = generator.minibatchAB(fn_B, self.batch_size)
                  
 
</s> remove <<<<<<< HEAD

=======
>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove =======
import os
import sys

from . import __version__
from .instance_normalization import InstanceNormalization

>>>>>>> 721e80dd773c850769ba6af82daa9f5ec95812bb
 </s> add  </s> remove 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
 </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 
          self.model = model
          from timeit import default_timer as clock
          self._clock = clock
          





          generator = TrainingDataGenerator(self.random_transform_args, 160, 5, zoom=2)        
          
          self.images_A = generator.minibatchAB(fn_A, self.batch_size)
          self.images_B = generator.minibatchAB(fn_B, self.batch_size)
                  
keep keep keep keep replace replace replace replace replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Trainer.py