Lu Tao

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**Thank you for your suggestion, it worked for me!** I have another question regarding the application of this method. Is it be able to be used in image to image...

I've just dopuble checked the dataset, it's right. ``` from torch.utils.data import DataLoader import tqdm dataloader = DataLoader(dataset, batch_size=4, shuffle=True, num_workers=2) for i, x in enumerate(dataloader): print(f'Batch {i}:') print(x['image'].shape, x['depth'].shape)...