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Currently, torch-dreams works with the commonly used imagenet transforms. But that might not be the case for a lot of custom models.
The text was updated successfully, but these errors were encountered:
torch_dreams.auto now supports custom transforms with:
torch_dreams.auto
my_transforms = transforms.Compose([ ...other stuff... transforms.RandomAffine(degrees = rotate) ]) torch_dreams.auto.dreamer.set_custom_transforms(my_transforms)
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Currently, torch-dreams works with the commonly used imagenet transforms. But that might not be the case for a lot of custom models.
The text was updated successfully, but these errors were encountered: