Alternative to cv2.warpPerspective

Expected behaviour

I use OpenCV to register bio-medical images, but these images are really big.

I'm able to extract features and compute the homography H, and then I use cv2.warpPerspective to compute the final image.

warped_img = cv2.warpPerspective(image, H, (width, height), borderMode=cv2.BORDER_CONSTANT, borderValue=0)

Actual behaviour

But when width or height is bigger than 32767, then I get the following error.

cv2.error: OpenCV(4.5.1) /tmp/pip-req-build-s8zh4qlk/opencv/modules/imgproc/src/imgwarp.cpp:1724: error: (-215:Assertion failed) dst.cols < SHRT_MAX && dst.rows < SHRT_MAX && src.cols < SHRT_MAX && src.rows < SHRT_MAX in function 'remap'

I took a look online, and I found out that is a hard limitation because of the short encoding used to improve warpPerspective .

Is there a workaround to lift such limitation?
If no, is there a solution using another library to replace cv2.warpPerspective?