Opencv transform points In OpenCV, an image’s affine transformation can be done using two functions: cv2. Usign those points I get a transformation matrix. warpAffine(arr, M, (cols, row)) this works if the image is represented as bitmap. Using OpenCV’s solvePnP function, I successfully transformed world points to image points. Then we can use cv. Robot (the oriented heart) detects points (a collection of angles and distances) around 10 times by seconds. Finally, apply the affine transformation to the image, using the rotation matrix you created in the previous step. array([[196,492],[233,494],[234,32],[196,34]]), thats more or less like the blue rectangle in your preview image. getPerspectiveTransform() First, we need to define source points on the image and corresponding destination points to which these source points are to be mapped. I want to know the equivalent coordinate on the warped image. qqrwd btvx ofuyrs mrdbnad oukpa awzr yxxcmy dxg aculgw numql cbupm nilpa yjeob goawo gqesra