| import os | |
| import torch | |
| from torch.utils.data import Dataset | |
| from PIL import Image | |
| class SingleFolderDataset(Dataset): | |
| def __init__(self, directory, transform=None): | |
| super().__init__() | |
| self.directory = directory | |
| self.transform = transform | |
| self.image_paths = [os.path.join(directory, file_name) for file_name in os.listdir(directory) | |
| if os.path.isfile(os.path.join(directory, file_name))] | |
| def __len__(self): | |
| return len(self.image_paths) | |
| def __getitem__(self, idx): | |
| image_path = self.image_paths[idx] | |
| image = Image.open(image_path).convert('RGB') | |
| if self.transform: | |
| image = self.transform(image) | |
| return image, torch.tensor(0) | |
| def build_coco(args, transform): | |
| return SingleFolderDataset(args.data_path, transform=transform) |