def on_predict_batch_end(
        self,
        trainer: Trainer,
        pl_module: LightningModule,
        outputs: Batch,
        *args,
        **kwargs,
    ) -> None:
        """Normalize predicted scores and anomaly maps.

        Args:
            trainer (Trainer): PyTorch Lightning trainer instance.
            pl_module (LightningModule): PyTorch Lightning module instance.
            outputs (Batch): Batch containing model predictions.
            *args: Variable length argument list.
            **kwargs: Arbitrary keyword arguments.
        """
        del trainer, pl_module, args, kwargs
        self.post_process_batch(outputs)
Normalize predicted scores and anomaly maps.

        Args:
            trainer (Trainer): PyTorch Lightning trainer instance.
            pl_module (LightningModule): PyTorch Lightning module instance.
            outputs (Batch): Batch containing model predictions.
            *args: Variable length argument list.
            **kwargs: Arbitrary keyword arguments.
        
src/anomalib/post_processing/one_class.py