fTh+SrSSKrSSKJrJrJr SSKJr SSKJ r SSK J r J r J r JrJrJr SSKJrJr SS KJr S S KJr \R0"\5r"S S \ 5rS /rg)zq Processor class for InstructBLIP. Largely copy of Blip2Processor with addition of a tokenizer for the Q-Former. N)ListOptionalUnion) BatchFeature)ProcessorMixin) AddedToken BatchEncodingPaddingStrategyPreTokenizedInput TextInputTruncationStrategy) TensorTypelogging) VideoInput) AutoTokenizerc$N^\rSrSrSr/SQrS/rSrSrSr S U4Sjjr S!S\ S \ \ \\\ \\4S \S \ \\\4S \ \\\4S \\S\S\\S\\S\S\S\S\S\S\S\\ \\4S\4"SjjrSrSr\S5rU4Sjr\U4Sj5rSr U=r!$)"InstructBlipVideoProcessor(a Constructs an InstructBLIPVideo processor which wraps a InstructBLIP image processor and a LLaMa/T5 tokenizer into a single processor. [`InstructBlipVideoProcessor`] offers all the functionalities of [`InstructBlipVideoImageProcessor`] and [`AutoTokenizer`]. See the docstring of [`~InstructBlipVideoProcessor.__call__`] and [`~InstructBlipVideoProcessor.decode`] for more information. Args: video_processor (`InstructBlipVideoVideoProcessor`): An instance of [`InstructBlipVideoVideoProcessor`]. The video processor is a required input. tokenizer (`AutoTokenizer`): An instance of ['PreTrainedTokenizer`]. The tokenizer is a required input. qformer_tokenizer (`AutoTokenizer`): An instance of ['PreTrainedTokenizer`]. The Q-Former tokenizer is a required input. num_query_tokens (`int`, *optional*): Number of tokens used by the Qformer as queries, should be same as in model's config. )video_processor tokenizerqformer_tokenizernum_query_tokensAutoVideoProcessorrc >[US5(d,[SSSS9UlURUR/SS9 OURUlX@l[ TU]XU5 g)N video_tokenz