Affine transformation of very large images

Web: https://www.reddit.com/r/computervision/comments/uiiziu/affine_transformation_of_very_large_images/

I need to do an affine transformation of images that can be several gigapixels in size.
Is there a memory efficient way to do that?
I am looking for solution that could be used in python if possible. So far I've been using this function `warp` in `scikit-image` library.
https://scikit-image.org/docs/dev/api/skimage.transform.html?highlight=warp#skimage.transform.warp
Hower it converts the input image to float64 which consumes too much memory.
I can't use `OpenCV's` `remap` as it works only for images that are up to a gigapixel …

computervision images transformation