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@ -178,6 +178,9 @@ class SRGANModel(BaseModel):
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if self.use_corrupted_feature_input:
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if self.use_corrupted_feature_input:
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logger.info("Corrupting inputs into the feature network..")
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logger.info("Corrupting inputs into the feature network..")
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self.feature_corruptor = GaussianBlur()
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self.feature_corruptor = GaussianBlur()
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else:
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logger.info("Using normal inputs into feature network..")
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print(train_opt)
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self.netF = networks.define_F(use_bn=False).to(self.device)
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self.netF = networks.define_F(use_bn=False).to(self.device)
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self.lr_netF = None
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self.lr_netF = None
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if 'lr_fea_path' in train_opt.keys():
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if 'lr_fea_path' in train_opt.keys():
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