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Is your feature request related to a problem? Please describe.
for 2d natural images the current loader is not consistent with the common computer vision conversion:
import numpy as np
import torchvision
import monai
from monai.transforms import LoadImage
monai.apps.utils.download_url("https://monai.io/assets/img/MONAI-logo_color.png")
img = LoadImage(image_only=True, ensure_channel_first=True)("MONAI-logo_color.png") # PILReader
torchvision.utils.save_image(img, "MONAI-logo_color_torchvision.png", normalize=True)
the output MONAI-logo_color_torchvision.png
is transposed compared with MONAI-logo_color.png
would be great to add an option to the PIL-backend reader LoadImage(reader="PILReader")
to support this use case.
see also
cc @holgerroth
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