FileNotFoundError

[zhougoodman]

---

FileNotFoundError Traceback (most recent call last)
in
252
253 if name == 'main':
--> 254 main()

in main()
208 init_seed(options)
209
--> 210 tr_dataloader = init_dataloader(options, 'train')
211 val_dataloader = init_dataloader(options, 'val')
212 # trainval_dataloader = init_dataloader(options, 'trainval')

in init_dataloader(opt, mode)
47
48 def init_dataloader(opt, mode):
---> 49 dataset = init_dataset(opt, mode)
50 sampler = init_sampler(opt, dataset.y, mode)
51 dataloader = torch.utils.data.DataLoader(dataset, batch_sampler=sampler)

in init_dataset(opt, mode)
23
24 def init_dataset(opt, mode):
---> 25 dataset = OmniglotDataset(mode=mode, root=opt.dataset_root)
26 n_classes = len(np.unique(dataset.y))
27 if n_classes < opt.classes_per_it_tr or n_classes < opt.classes_per_it_val:

E:\学习\jupyter\prototypical net\Prototypical-Networks-for-Few-shot-Learning-PyTorch-master\src\omniglot_dataset.py in init(self, mode, root, transform, target_transform, download)
53 raise RuntimeError(
54 'Dataset not found. You can use download=True to download it')
---> 55 self.classes = get_current_classes(os.path.join(
56 self.root, self.splits_folder, mode + '.txt'))
57 self.all_items = find_items(os.path.join(

E:\学习\jupyter\prototypical net\Prototypical-Networks-for-Few-shot-Learning-PyTorch-master\src\omniglot_dataset.py in get_current_classes(fname)
159
160 def get_current_classes(fname):
--> 161 with open(fname) as f:
162 classes = f.read().replace('/', os.sep).splitlines()
163 return classes

FileNotFoundError: [Errno 2] No such file or directory: '..\dataset\splits\vinyals\train.txt'

[whisper0055]

I think something went wrong when you download the dataset

[han-skai]

把需要的文件下载下来（可以直接去代码中给出的url网页上下载，下载4个txt文件和两个zip文件），手动解压后 形成如上文件目录就可以直接运行了。