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Alternative to cv2.warpPerspective

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#549 8 comments 0 reactions 1 assignee View on GitHub

@AleksandrPanov is already working on this.

Since Oct 8, 2021.

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Description

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?

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Python
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