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