Method preprocess_auto

openrec/preprocess/cmer_label_encode.py:582–590

(self,
                        images: ImageInput,
                        return_tensors: Optional[Union[str,
                                                       TensorType]] = None,
                        trainer=None,
                        **kwargs)

                      input_data_format=ChannelDimension.LAST)

    def preprocess_auto(self,
                        images: ImageInput,
                        return_tensors: Optional[Union[str,
                                                       TensorType]] = None,
                        trainer=None,
                        **kwargs) -> BatchFeature:
        if trainer is not None and getattr(trainer, 'is_in_train', False):
            kwargs.setdefault('do_augment', True)
        return self.preprocess(images, return_tensors=return_tensors, **kwargs)

    @filter_out_non_signature_kwargs()
    def preprocess(