Base datasets module

MNIST_base(root[, transform, ...])	MNIST Dataset.
Omniglot_base(root[, background, transform, ...])	Omniglot Dataset.
CIFAR10_base(root[, transform, ...])	CIFAR10 Dataset.
CIFAR100_base(root[, transform, ...])	CIFAR100 Dataset.
SVHN_base(root[, transform, ...])	SVHN Dataset.

class torchosr.data.base_datasets.CIFAR100_base(root: str, transform: Callable | None = None, target_transform: Callable | None = None, download: bool = False)

Bases: CIFAR10_base

CIFAR100 Dataset.

Base implementation from torch library. No split to train/test data.

class torchosr.data.base_datasets.CIFAR10_base(root: str, transform: Callable | None = None, target_transform: Callable | None = None, download: bool = False)

Bases: VisionDataset

CIFAR10 Dataset.

Base implementation from torch library. No split to train/test data.

class torchosr.data.base_datasets.MNIST_base(root: str, transform: Callable | None = None, target_transform: Callable | None = None, download: bool = False)

Bases: VisionDataset

MNIST Dataset.

Base implementation from torch library. No split to train/test data.

class torchosr.data.base_datasets.Omniglot_base(root: str, background: bool = True, transform: Callable | None = None, target_transform: Callable | None = None, download: bool = True)

Bases: VisionDataset

Omniglot Dataset.

Base implementation from torch library.

class torchosr.data.base_datasets.SVHN_base(root: str, transform: Callable | None = None, target_transform: Callable | None = None, download: bool = False)

Bases: VisionDataset

SVHN Dataset.

Base implementation from torch library. No split to train/test data.