  TRANSFORM_PRC = 115.
  
  
  class Trainer():
  #     
      _random_transform_args = {
          'rotation_range': 10 * (TRANSFORM_PRC * .01),
          'zoom_range': 0.05 * (TRANSFORM_PRC * .01),
          'shift_range': 0.05 * (TRANSFORM_PRC * .01),
          'random_flip': 0.4 * (TRANSFORM_PRC * .01),
 
</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 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 
  TRANSFORM_PRC = 115.
  
  
  class Trainer():
    
      _random_transform_args = {
          'rotation_range': 10 * (TRANSFORM_PRC * .01),
          'zoom_range': 0.05 * (TRANSFORM_PRC * .01),
          'shift_range': 0.05 * (TRANSFORM_PRC * .01),
          'random_flip': 0.4 * (TRANSFORM_PRC * .01),
keep keep keep keep replace keep keep keep keep keep
 added OriginalHighRes model state save 
plugins/Model_OriginalHighRes/Trainer.py