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@ -39,6 +39,7 @@ add_arg('--scales', default=2, type=int, help='How ma
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add_arg('--model', default='medium', type=str, help='Name of the neural network to load/save.')
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add_arg('--model', default='medium', type=str, help='Name of the neural network to load/save.')
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add_arg('--model', default='small', type=str, help='Name of the neural network to load/save.')
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add_arg('--model', default='small', type=str, help='Name of the neural network to load/save.')
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add_arg('--train', default=False, type=str, help='File pattern to load for training.')
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add_arg('--train', default=False, type=str, help='File pattern to load for training.')
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add_arg('--save-every-epoch', default=False, action='store_true', help='Save generator after every training epoch.')
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add_arg('--batch-resolution', default=192, type=int, help='Resolution of images in training batch.')
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add_arg('--batch-resolution', default=192, type=int, help='Resolution of images in training batch.')
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add_arg('--batch-size', default=15, type=int, help='Number of images per training batch.')
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add_arg('--batch-size', default=15, type=int, help='Number of images per training batch.')
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add_arg('--buffer-size', default=1500, type=int, help='Total image fragments kept in cache.')
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add_arg('--buffer-size', default=1500, type=int, help='Total image fragments kept in cache.')
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@ -484,6 +485,8 @@ class NeuralEnhancer(object):
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print(' - adversary mode: generator engaging discriminator.')
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print(' - adversary mode: generator engaging discriminator.')
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self.model.adversary_weight.set_value(args.adversary_weight)
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self.model.adversary_weight.set_value(args.adversary_weight)
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running = None
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running = None
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if args.save_every_epoch:
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self.model.save_generator()
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except KeyboardInterrupt:
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except KeyboardInterrupt:
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pass
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pass
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