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I'm curious whether the data type is limited to uint8, ranging from 0-255. In certain situations, such as medical imaging, the data type might be float32. Converting it to uint8 could result in a loss of information.
When I use import torchvision.transforms, it also only support uint8.
The text was updated successfully, but these errors were encountered:
I think it's because transforms came from 2D images, where 0-255 range is typically used for RGB images. May be volumentations can be updated to work with float32.
Hello,
I'm curious whether the data type is limited to uint8, ranging from 0-255. In certain situations, such as medical imaging, the data type might be float32. Converting it to uint8 could result in a loss of information.
When I use
import torchvision.transforms
, it also only support uint8.The text was updated successfully, but these errors were encountered: