Flickr30k — Torchvision 0.22 documentation (original) (raw)

class torchvision.datasets.Flickr30k(root: str, ann_file: str, transform: ~typing.Optional[~typing.Callable] = None, target_transform: ~typing.Optional[~typing.Callable] = None, loader: ~typing.Callable[[str], ~typing.Any] = <function default_loader>)[source]¶

Flickr30k Entities Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory where images are downloaded to.
• ann_file (string) – Path to annotation file.
• 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.
• 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 intorchvision.io.decode_image for decoding image data into tensors directly.

Special-members:

__getitem__(index: int) → Tuple[Any, Any][source]¶

Parameters:

index (int) – Index

Returns:

Tuple (image, target). target is a list of captions for the image.

Return type:

tuple