您可以将代码改为以下形式，使用Qt的QImage来存储图像：
std::string save2DPath = info.imgPath + "/" + info.imgNo.toStdString() + ".jpg";
QElapsedTimer t;
t.start();
// 将 OpenCV 的 Mat 转换为 QImage
cv::Mat matRGB;
cv::cvtColor(info.mat2D, matRGB, cv::COLOR_BGR2RGB);
QImage img(matRGB.data, matRGB.cols, matRGB.rows, static_cast<int>(matRGB.step), QImage::Format_RGB888);
bool success = img.save(QString::fromStdString(save2DPath));
// 检查保存是否成功
if (!success) {
qWarning() << "QImage save failed!";
} else {
qDebug() << __LINE__ << " thread id: " << QThread::currentThreadId()
<< "; QImage save success, save2DPath ="
<< QString::fromStdString(save2DPath) << "t =" << t.elapsed();
info.mat2D.release();
}
上述代码中，首先使用cvtColor函数将OpenCV的BGR格式转换为RGB格式，然后使用QImage构造函数创建一个与Mat数据对应的QImage对象。最后调用save方法将QImage保存为图像文件。请注意，在使用此代码之前，请确保已经包含了相应的头文件和命名空间。
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func detectCycle(head *ListNode) *ListNode {
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for curNode != nil {
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