from torch.utils.data import Dataset from PIL import Image from utils import data_utils class ImagesDataset(Dataset): def __init__(self, source_root, target_root, opts, target_transform=None, source_transform=None): self.source_paths = sorted(data_utils.make_dataset(source_root)) self.target_paths = sorted(data_utils.make_dataset(target_root)) self.source_transform = source_transform self.target_transform = target_transform self.opts = opts def __len__(self): return len(self.source_paths) def __getitem__(self, index): from_path = self.source_paths[index] from_im = Image.open(from_path) from_im = from_im.convert('RGB') to_path = self.target_paths[index] to_im = Image.open(to_path).convert('RGB') if self.target_transform: to_im = self.target_transform(to_im) if self.source_transform: from_im = self.source_transform(from_im) else: from_im = to_im return from_im, to_im