o Zh@sdZddlZddlmZddlmZmZddlmZddl m Z ddl m Z m Z mZdd lmZmZGd d d e d d ZGddde ZdgZdS)z Processor class for TrOCR. N)contextmanager)ListUnion) BatchFeature) ImageInput)ProcessingKwargsProcessorMixinUnpack)PreTokenizedInput TextInputc@seZdZiZdS)TrOCRProcessorKwargsN)__name__ __module__ __qualname__ _defaultsrrY/var/www/auris/lib/python3.10/site-packages/transformers/models/trocr/processing_trocr.pyr sr F)totalc seZdZdZddgZdZdZdfdd Z    dd ed e e e e e e e fd e ed efd dZddZddZeddZeddZeddZZS)TrOCRProcessora Constructs a TrOCR processor which wraps a vision image processor and a TrOCR tokenizer into a single processor. [`TrOCRProcessor`] offers all the functionalities of [`ViTImageProcessor`/`DeiTImageProcessor`] and [`RobertaTokenizer`/`XLMRobertaTokenizer`]. See the [`~TrOCRProcessor.__call__`] and [`~TrOCRProcessor.decode`] for more information. Args: image_processor ([`ViTImageProcessor`/`DeiTImageProcessor`], *optional*): An instance of [`ViTImageProcessor`/`DeiTImageProcessor`]. The image processor is a required input. tokenizer ([`RobertaTokenizer`/`XLMRobertaTokenizer`], *optional*): An instance of [`RobertaTokenizer`/`XLMRobertaTokenizer`]. The tokenizer is a required input. image_processor tokenizerZAutoImageProcessorZ AutoTokenizerNc srd}d|vrtdt|d}|dur|n|}|dur!td|dur)tdt|||j|_d|_ dS)Nfeature_extractorzhThe `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor` instead.z)You need to specify an `image_processor`.z"You need to specify a `tokenizer`.F) warningswarn FutureWarningpop ValueErrorsuper__init__rcurrent_processor_in_target_context_manager)selfrrkwargsr __class__rrr4s  zTrOCRProcessor.__init__imagestextr#returnc Ks|jr |j|fi|S|dur|durtd|jtfd|jji|}|dur4|j|fi|d}|durC|j|fi|d}|durI|S|durO|S|d|d<|S)a When used in normal mode, this method forwards all its arguments to AutoImageProcessor's [`~AutoImageProcessor.__call__`] and returns its output. If used in the context [`~TrOCRProcessor.as_target_processor`] this method forwards all its arguments to TrOCRTokenizer's [`~TrOCRTokenizer.__call__`]. Please refer to the docstring of the above two methods for more information. NzBYou need to specify either an `images` or `text` input to process.Ztokenizer_init_kwargsZ images_kwargsZ text_kwargsZ input_idslabels)r!r rZ _merge_kwargsr rZ init_kwargsr) r"r&r'ZaudioZvideosr#Z output_kwargsZinputs encodingsrrr__call__Hs* zTrOCRProcessor.__call__cO|jj|i|S)z This method forwards all its arguments to TrOCRTokenizer's [`~PreTrainedTokenizer.batch_decode`]. Please refer to the docstring of this method for more information. )r batch_decoder"argsr#rrrr-pzTrOCRProcessor.batch_decodecOr,)z This method forwards all its arguments to TrOCRTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )rdecoder.rrrr1wr0zTrOCRProcessor.decodeccs2tdd|_|j|_dV|j|_d|_dS)z Temporarily sets the tokenizer for processing the input. Useful for encoding the labels when fine-tuning TrOCR. z`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your labels by using the argument `text` of the regular `__call__` method (either in the same call as your images inputs, or in a separate call.TNF)rrr!rr rr"rrras_target_processor~s z"TrOCRProcessor.as_target_processorcCtdt|jS)Nzg`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.)rrrimage_processor_classr2rrrfeature_extractor_class z&TrOCRProcessor.feature_extractor_classcCr4)Nz[`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.)rrrrr2rrrrr7z TrOCRProcessor.feature_extractor)NN)NNNN)rrr__doc__ attributesr5Ztokenizer_classrrrr r rr r rr+r-r1rr3propertyr6r __classcell__rrr$rr!s6 (  r)r8r contextlibrtypingrrZimage_processing_utilsrZ image_utilsrZprocessing_utilsrr r Ztokenization_utils_baser r r r__all__rrrrs    ~