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fddZdddZ ZS )SBUa `SBU Captioned Photo `_ Dataset.
Args:
root (str or ``pathlib.Path``): Root directory of dataset where tarball
``SBUCaptionedPhotoDataset.tar.gz`` exists.
transform (callable, optional): A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader,
and returns a transformed version. E.g, ``transforms.RandomCrop``
target_transform (callable, optional): A function/transform that takes in the
target and transforms it.
download (bool, optional): If True, downloads the dataset from the internet and
puts it in root directory. If dataset is already downloaded, it is not
downloaded again.
loader (callable, optional): A function to load an image given its path.
By default, it uses PIL as its image loader, but users could also pass in
``torchvision.io.decode_image`` for decoding image data into tensors directly.
zHhttps://www.cs.rice.edu/~vo9/sbucaptions/SBUCaptionedPhotoDataset.tar.gzz SBUCaptionedPhotoDataset.tar.gz 9aec147b3488753cf758b4d493422285NTroot transformtarget_transformdownloadloaderreturnc s t j|||d || _|r| | stdg | _g | _tj
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q;d S )N)r r zHDataset not found or corrupted. You can use download=True to download itdataset$SBU_captioned_photo_dataset_urls.txtz(SBU_captioned_photo_dataset_captions.txt)super__init__r r _check_integrity RuntimeErrorphotoscaptionsospathjoinr zipopenrstripbasenameexistsappend)selfr r r r r file1file2line1line2urlphotofilenamecaption __class__ S/var/www/html/RAG/RAG_venv/lib/python3.10/site-packages/torchvision/datasets/sbu.pyr ! s( z SBU.__init__indexc C s\ t j| jd| j| }| |}| jdur| |}| j| }| jdur*| |}||fS )z
Args:
index (int): Index
Returns:
tuple: (image, target) where target is a caption for the photo.
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