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torch.utils.data.Dataloader will use the same random seed in every batch. That means, every batch will use the same augmentation.You can have a look on my test.
visulize_dataloder.pdf
Simply add worker_init_fn=lambda x: np.random.seed() will generate different random numbers for each batch, this might make your Pano Stretch Data Augmentation more powerful.
reference:
pytorch/pytorch#5059
https://pytorch.org/docs/master/data.html#torch.utils.data.DataLoader
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