python opencv把一张图片嵌入（叠加）到另一张图片上的实现代码

resized1[global_y0:height+global_y0, global_x0:weight+global_x0] = resized0

resized1 = cv.imread('temp0.jpg')#读取最开始读入的图片
    #cv.imshow('resized1-0.jpg', resized1)
    #cv.waitKey(10)
    img = cv.imread('output.jpg')#读取生成的烟雾图

    resized0 = cv.resize(img, (weight, height), interpolation=cv.INTER_AREA)
    #cv.imshow('resized0.jpg', resized0)
    #cv.waitKey(10)

    #嵌入图片，resized1是原图，resized0是烟雾图片，中括号内为嵌入的坐标
    resized1[global_y0:height+global_y0, global_x0:weight+global_x0] = resized0
    #cv.imshow('resized1.jpg', resized1)
    cv.imwrite('temp1.jpg', resized1)
    resized2 = resized1 # 将最终生成的图片复制到全局变量中，在保存按钮中进行保存
    #cv.imwrite('resized2.jpg', resized2)
    global final_picture # 此处声明该图片为全局变量
    final_picture=resized2 #将最终生成的图片复制到全局变量中，在保存按钮中进行保存
    #cv.imwrite('final_picture0.jpg', final_picture)
    #cv.waitKey(10)
    height, width, bytesPerComponent = resized1.shape #取彩色图片的长、宽、通道
    bytesPerLine = 3 * width
    cv.cvtColor(resized1, cv.COLOR_BGR2RGB, resized1)
    QImg = QImage(resized1.data, width, height, bytesPerLine,QImage.Format_RGB888)
    pixmap = QPixmap.fromImage(QImg)

    self.label_ShowPicture.setPixmap(pixmap)
    #self.label_ShowPicture.setPixmap(QPixmap("resized1.jpg"))
    self.label_ShowPicture.setCursor(Qt.CrossCursor)
    print("已经嵌入")