Transformed Dataset

class olympus.datasets.transformed.Compose(transforms)

Bases: torchvision.transforms.transforms.Compose

Methods

__call__(img)

Call self as a function.

load_state_dict
state_dict

load_state_dict(state)

state_dict(destination=None, prefix='', keep_vars=False)

class olympus.datasets.transformed.RandomCrop(size, seed=None, padding=None, pad_if_needed=False, fill=0, padding_mode='constant')

Bases: object

Methods

__call__(img)

Call self as a function.

get_params
load_state_dict
state_dict

static get_params(img, output_size)

load_state_dict(state)

state_dict(compressed=True)

class olympus.datasets.transformed.RandomHorizontalFlip(p=0.5, seed=None)

Bases: object

Methods

__call__(img)

Call self as a function.

load_state_dict
state_dict

load_state_dict(state)

state_dict(compressed=True)

class olympus.datasets.transformed.TransformedSubset(dataset, indices, transform=None)

Bases: torch.utils.data.dataset.Subset

Methods

register_datapipe_as_function
register_function