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Source code for torchgeo.datamodules.ssl4eo

# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.

"""SSL4EO datamodule."""

from typing import Any

import torch

from ..datasets import SSL4EOL, SSL4EOS12
from .geo import NonGeoDataModule


[docs]class SSL4EOLDataModule(NonGeoDataModule): """LightningDataModule implementation for the SSL4EO-L dataset. .. versionadded:: 0.5 """
[docs] def __init__( self, batch_size: int = 64, num_workers: int = 0, **kwargs: Any ) -> None: """Initialize a new SSL4EOLDataModule instance. Args: batch_size: Size of each mini-batch. num_workers: Number of workers for parallel data loading. **kwargs: Additional keyword arguments passed to :class:`~torchgeo.datasets.SSL4EOL`. """ super().__init__(SSL4EOL, batch_size, num_workers, **kwargs)
[docs] def setup(self, stage: str) -> None: """Set up datasets. Args: stage: Either 'fit', 'validate', 'test', or 'predict'. """ self.dataset = SSL4EOL(**self.kwargs)
[docs]class SSL4EOS12DataModule(NonGeoDataModule): """LightningDataModule implementation for the SSL4EO-S12 dataset. .. versionadded:: 0.5 """ # https://github.com/zhu-xlab/SSL4EO-S12/blob/d2868adfada65e40910bfcedfc49bc3b20df2248/src/benchmark/transfer_classification/datasets/EuroSat/eurosat_dataset.py#L97 # noqa: E501 mean = torch.tensor(0) std = torch.tensor(10000)
[docs] def __init__( self, batch_size: int = 64, num_workers: int = 0, **kwargs: Any ) -> None: """Initialize a new SSL4EOS12DataModule instance. Args: batch_size: Size of each mini-batch. num_workers: Number of workers for parallel data loading. **kwargs: Additional keyword arguments passed to :class:`~torchgeo.datasets.SSL4EOS12`. """ super().__init__(SSL4EOS12, batch_size, num_workers, **kwargs)
[docs] def setup(self, stage: str) -> None: """Set up datasets. Args: stage: Either 'fit', 'validate', 'test', or 'predict'. """ self.dataset = SSL4EOS12(**self.kwargs)

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