71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
import os
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from pathlib import Path
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from typing import Any, Callable, Optional, Union
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from .folder import default_loader, ImageFolder
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from .utils import download_and_extract_archive
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class EuroSAT(ImageFolder):
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"""RGB version of the `EuroSAT <https://github.com/phelber/eurosat>`_ Dataset.
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For the MS version of the dataset, see
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`TorchGeo <https://torchgeo.readthedocs.io/en/stable/api/datasets.html#eurosat>`__.
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Args:
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root (str or ``pathlib.Path``): Root directory of dataset where ``root/eurosat`` exists.
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transform (callable, optional): A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader,
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and returns a transformed version. E.g, ``transforms.RandomCrop``
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target_transform (callable, optional): A function/transform that takes in the
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target and transforms it.
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download (bool, optional): If True, downloads the dataset from the internet and
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puts it in root directory. If dataset is already downloaded, it is not
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downloaded again. Default is False.
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loader (callable, optional): A function to load an image given its path.
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By default, it uses PIL as its image loader, but users could also pass in
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``torchvision.io.decode_image`` for decoding image data into tensors directly.
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"""
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def __init__(
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self,
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root: Union[str, Path],
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transform: Optional[Callable] = None,
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target_transform: Optional[Callable] = None,
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download: bool = False,
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loader: Callable[[str], Any] = default_loader,
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) -> None:
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self.root = os.path.expanduser(root)
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self._base_folder = os.path.join(self.root, "eurosat")
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self._data_folder = os.path.join(self._base_folder, "2750")
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if download:
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self.download()
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if not self._check_exists():
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raise RuntimeError("Dataset not found. You can use download=True to download it")
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super().__init__(
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self._data_folder,
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transform=transform,
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target_transform=target_transform,
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loader=loader,
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)
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self.root = os.path.expanduser(root)
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def __len__(self) -> int:
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return len(self.samples)
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def _check_exists(self) -> bool:
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return os.path.exists(self._data_folder)
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def download(self) -> None:
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if self._check_exists():
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return
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os.makedirs(self._base_folder, exist_ok=True)
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download_and_extract_archive(
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"https://huggingface.co/datasets/torchgeo/eurosat/resolve/c877bcd43f099cd0196738f714544e355477f3fd/EuroSAT.zip",
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download_root=self._base_folder,
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md5="c8fa014336c82ac7804f0398fcb19387",
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)
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