I am trying to transform a virtual football/soccer pitch to match a real-world image. I have seen a few solutions and they all seem to be doing the same general thing. Match non collinear points from the virtual pitch to the real-world pitch, input them into cv2.findHomography and then apply transform to the 4 corners of the virtual pitch using cv2.perspectiveTransform. The issue I am having is that my output matrix seems to be very extreme and producing extreme result when translating one of the corners.