LFWPairs

class torchvision.datasets.LFWPairs(root: str, split: str = '10fold', image_set: str = 'funneled', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

LFW Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where directory lfw-py exists or will be saved to if download is set to True.

• split (string, optional) – The image split to use. Can be one of train, test, 10fold. Defaults to 10fold.

• image_set (str, optional) – Type of image funneling to use, original, funneled or deepfunneled. Defaults to funneled.

• transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomRotation

• 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.

Special-members:

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

Parameters:

index (int) – Index

Returns:

(image1, image2, target) where target is 0 for different indentities and 1 for same identities.

Return type:

tuple