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- May 27, 2014 · 透视变换的原理和矩阵求解请参见前一篇 《透视变换 Perspective Transformation》 。. 在OpenCV中也实现了透视变换的公式求解和变换函数。. 输入原始图像和变换之后的图像的对应4个点,便可以得到变换矩阵。. 之后用求解得到的矩阵输入perspectiveTransform便可以对一组 ...
- M = cv2.getPerspectiveTransform(input_pts,output_pts) After calculating the transformation matrix, apply the perspective transformation to the entire input image to get the final transformed image. 1 out = cv2.warpPerspective(img,M,(maxWidth, maxHeight),flags=cv2.INTER_LINEAR) Below is the transformed image. That's all for this blog.
- M = cv2.getPerspectiveTransform(input_pts,output_pts) After calculating the transformation matrix, apply the perspective transformation to the entire input image to get the final transformed image. 1 out = cv2.warpPerspective(img,M,(maxWidth, maxHeight),flags=cv2.INTER_LINEAR) Below is the transformed image. That’s all for this blog.
- M = cv2.getPerspectiveTransform(input_pts,output_pts) After calculating the transformation matrix, apply the perspective transformation to the entire input image to get the final transformed image. 1 out = cv2.warpPerspective(img,M,(maxWidth, maxHeight),flags=cv2.INTER_LINEAR) Below is the transformed image. That’s all for this blog.