avalanche.benchmarks.datasets.OpenLORIS

class avalanche.benchmarks.datasets.OpenLORIS(root: ~pathlib.Path | str | None = None, *, train=True, transform=None, target_transform=None, loader=<function default_loader>, download=True)[source]

OpenLORIS Pytorch Dataset

__init__(root: ~pathlib.Path | str | None = None, *, train=True, transform=None, target_transform=None, loader=<function default_loader>, download=True)[source]

Creates an instance of the OpenLORIS dataset.

Parameters:

root – The directory where the dataset can be found or downloaded. Defaults to None, which means that the default location for ‘openloris’ will be used.
train – If True, the training set will be returned. If False, the test set will be returned.
transform – The transformations to apply to the X values.
target_transform – The transformations to apply to the Y values.
loader – The image loader to use.
download – If True, the dataset will be downloaded if needed.

Methods

__init__([root, train, transform, ...])

Creates an instance of the OpenLORIS dataset.

Attributes

`root`	The path to the dataset.
`download`	If True, the dataset will be downloaded (only if needed).
`verbose`	If True, some info about the download process will be printed.