    def __call__(self, preds, label=None, *args, **kwargs):
        """
        text = self.decode(text)
        if label is None:
            return text
        else:
            label = self.decode(label, is_remove_duplicate=False)
            return text, label
        """
        if isinstance(preds, torch.Tensor):
            preds = preds.cpu().numpy()

        preds_idx = preds.argmax(axis=2)
        preds_prob = preds.max(axis=2)
        text = self.decode(preds_idx, preds_prob, is_remove_duplicate=False)
        if label is None:
            return text
        label = self.decode(label, is_remove_duplicate=False)
        return text, label
text = self.decode(text)
if label is None:
return text
else:
label = self.decode(label, is_remove_duplicate=False)
return text, label
pytorchocr/postprocess/rec_postprocess.py