如何将cv::mat对象从python模块传递给c++函数，并返回cv::mat类型的对象？

import cv2

image = cv2.imread('image.jpg')

import ctypes
import numpy as np

# 将cv::Mat对象转换为一维数组
data = image.flatten()

# 获取一维数组的指针
data_ptr = data.ctypes.data_as(ctypes.POINTER(ctypes.c_ubyte))

#include <opencv2/opencv.hpp>

cv::Mat convertArrayToMat(unsigned char* data, int rows, int cols, int channels) {
    cv::Mat image(rows, cols, CV_8UC3, data);
    return image.clone();
}

extern "C" {
    cv::Mat* processImage(unsigned char* data, int rows, int cols, int channels) {
        cv::Mat* result = new cv::Mat();
        *result = convertArrayToMat(data, rows, cols, channels);
        return result;
    }
}

g++ -shared -o libimageprocess.so -fPIC imageprocess.cpp `pkg-config --cflags --libs opencv`

import ctypes
import numpy as np

# 加载共享库
lib = ctypes.CDLL('./libimageprocess.so')

# 定义C++函数的参数和返回类型
lib.processImage.restype = ctypes.POINTER(ctypes.c_ubyte)

# 调用C++函数
result_ptr = lib.processImage(data_ptr, image.shape[0], image.shape[1], image.shape[2])

# 将返回的一维数组转换为cv::Mat对象
result_data = np.ctypeslib.as_array(result_ptr, shape=(image.shape[0], image.shape[1], image.shape[2]))
result_image = result_data.copy()