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| from typing import Any, Tuple
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|
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| from torchvision.datasets import VisionDataset
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| from .decoders import Decoder, ImageDataDecoder, TargetDecoder
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| class ExtendedVisionDataset(VisionDataset):
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| def __init__(
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| self,
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| image_decoder: Decoder = ImageDataDecoder,
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| target_decoder: Decoder = TargetDecoder,
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| *args,
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| **kwargs,
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| ) -> None:
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| super().__init__(*args, **kwargs)
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| self.image_decoder = image_decoder
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| self.target_decoder = target_decoder
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| def get_image_data(self, index: int) -> bytes:
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| raise NotImplementedError
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| def get_target(self, index: int) -> Any:
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| raise NotImplementedError
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| def __getitem__(self, index: int) -> Tuple[Any, Any]:
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| try:
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| image_data = self.get_image_data(index)
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| image = self.image_decoder(image_data).decode()
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| except Exception as e:
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| raise RuntimeError(f"can not read image for sample {index}") from e
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| target = self.get_target(index)
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| target = self.target_decoder(target).decode()
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| if self.transforms is not None:
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| image, target = self.transforms(image, target)
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| return image, target
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| def __len__(self) -> int:
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| raise NotImplementedError
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|
