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from src.datasets.common2 import RGBDatasetLoader |
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import torchvision |
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from torch.utils.data import DataLoader |
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from typing import Tuple |
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class Food101Loader(RGBDatasetLoader): |
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"""Loader for Food-101 dataset""" |
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def load_dataset(self) -> Tuple[DataLoader, DataLoader]: |
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train_dataset = torchvision.datasets.Food101( |
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root=self.root_dir, |
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split="train", |
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transform=self.train_transform, |
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download=True, |
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) |
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test_dataset = torchvision.datasets.Food101( |
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root=self.root_dir, |
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split="test", |
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transform=self.test_transform, |
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download=True, |
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) |
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return self._create_dataloaders(train_dataset, test_dataset) |
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