img = cv2.imread('../data/foreman.bmp')rows, cols, channel = img.shape+定义透视变换前数据点集合ptsl=np.float32([[82,122]，[132,112],[97,170],[138,169]])#定义透视变换后数据点集合pts2= np.float32([[82, 122]，[132, 117]， [95, 168],[136, 163]])#画出透视变换前数据点for point in ptsl:cv2.circle(img，(int(point[0])，int (point[1]))，2,(0， 0, 255), thickness=-1)M = cv2.getPerspectiveTransform(pts1,pts2) #获取透视变换矩阵Mdst = cv2.warpPerspective(img，M，(cols， rows)）#进行透视变换得到结果图像#画出透视变换后的数据点for point in pts2:cv2.circle(dst,(int(point[0]), int(point[1]))，2,(0, 255, 0), thickness=2)cv2.imshow('face3',img)cv2.imshow('warpPerspectivePlate'，dst) # 显示透视变换后的图像cv2.imwrite('../tmp/warpPerspectivePlate.jpg'，dst) #保存透视变换后的图像