@@ -63,10 +63,10 @@ def argument_parser():
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parser .add_argument ('--height' , '-ht' , type = int , default = 64 , help = 'height of the image to resize to' )
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parser .add_argument ('--width' , '-wd' , type = int , default = 64 , help = 'width of the image to resize to' )
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parser .add_argument ('--samples' , type = bool , default = False , help = 'See sample training images' )
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- parser .add_argument ('--num_epochs' , type = int , default = 1 , help = 'Number of epochs to train on' )
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+ parser .add_argument ('--num_epochs' , type = int , default = 75 , help = 'Number of epochs to train on' )
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parser .add_argument ('--train' , default = True , type = bool , help = 'train the model' )
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parser .add_argument ('--root' , default = '.' , type = str , help = 'Root Directory for Input and Target images.' )
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- parser .add_argument ('--n_folds' , default = 2 , type = int , help = 'Number of folds in k-fold cross validation.' )
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+ parser .add_argument ('--n_folds' , default = 7 , type = int , help = 'Number of folds in k-fold cross validation.' )
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parser .add_argument ('--save_model' , default = True , type = bool , help = 'Save model after training.' )
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parser .add_argument ('--load_model' , default = None , type = str , help = 'Load existing model.' )
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parser .add_argument ('--predict' , default = None , type = str , help = 'Path of rough sketch to simplify using existing model' )
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