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I think this modular design very much and want to stick on it. However, my dataset is not images, it seems that it causes runtime error when not using Image.fromarray(), the dataloader does not work to iteration next batch.
Is it possible to support for non-image data and same modular design to be used ?
i.e. Define a Dataset class inherited from torch.utils.data.Dataset
then define Dataloader with iter(dataloader)
The text was updated successfully, but these errors were encountered:
I think this modular design very much and want to stick on it. However, my dataset is not images, it seems that it causes runtime error when not using
Image.fromarray()
, the dataloader does not work to iteration next batch.Is it possible to support for non-image data and same modular design to be used ?
i.e. Define a Dataset class inherited from
torch.utils.data.Dataset
then define Dataloader with
iter(dataloader)
The text was updated successfully, but these errors were encountered: