langchain.document_loaders.image_captions.ImageCaptionLoader

class langchain.document_loaders.image_captions.ImageCaptionLoader(images: Union[str, bytes, List[Union[str, bytes]]], blip_processor: str = 'Salesforce/blip-image-captioning-base', blip_model: str = 'Salesforce/blip-image-captioning-base')[source]

Load image captions.

By default, the loader utilizes the pre-trained Salesforce BLIP image captioning model. https://huggingface.co/Salesforce/blip-image-captioning-base

Initialize with a list of image data (bytes) or file paths

Parameters
  • images – Either a single image or a list of images. Accepts image data (bytes) or file paths to images.

  • blip_processor – The name of the pre-trained BLIP processor.

  • blip_model – The name of the pre-trained BLIP model.

Methods

__init__(images[, blip_processor, blip_model])

Initialize with a list of image data (bytes) or file paths

lazy_load()

A lazy loader for Documents.

load()

Load from a list of image data or file paths

load_and_split([text_splitter])

Load Documents and split into chunks.

__init__(images: Union[str, bytes, List[Union[str, bytes]]], blip_processor: str = 'Salesforce/blip-image-captioning-base', blip_model: str = 'Salesforce/blip-image-captioning-base')[source]

Initialize with a list of image data (bytes) or file paths

Parameters
  • images – Either a single image or a list of images. Accepts image data (bytes) or file paths to images.

  • blip_processor – The name of the pre-trained BLIP processor.

  • blip_model – The name of the pre-trained BLIP model.

lazy_load() Iterator[Document]

A lazy loader for Documents.

load() List[Document][source]

Load from a list of image data or file paths

load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]

Load Documents and split into chunks. Chunks are returned as Documents.

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Examples using ImageCaptionLoader