upd nnlib.py
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@@ -463,7 +463,7 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
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mask = self.mask
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if self.is_mse:
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blur_mask = tf_gaussian_blur(max(1, mask.get_shape().as_list()[1] // 32))(mask)
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return K.mean ( 100*K.square( y_true*blur_mask - y_pred*blur_mask ) )
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return K.mean ( 10*K.square( y_true*blur_mask - y_pred*blur_mask ) )
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else:
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return (1.0 - (tf.image.ssim (y_true*mask, y_pred*mask, 1.0))) / 2.0
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nnlib.DSSIMMSEMaskLoss = DSSIMMSEMaskLoss
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