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

May 4, 2022, 10:58 p.m. | /u/it_is_not_a_trap

Computer Vision reddit.com

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

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