Kinect2+QT5+opencv 将深度图显示在QLabel上

有两种方法
第一种是

 Qtemp = QImage((const unsigned char*)(img.data), img.cols, img.rows, img.step, QImage::Format_Indexed8);

第二种是

Qtemp = QImage((const unsigned char*)(img.data), img.cols, img.rows, img.step, QImage::Format_RGB16);

void MainWindow::on_pushButton_clicked()
{
    IKinectSensor * mySensor = nullptr;
    GetDefaultKinectSensor(&mySensor); //获取感应器
    mySensor->Open();//打开感应器

    IDepthFrameSource   * mySource = nullptr;   //取得深度数据
    mySensor->get_DepthFrameSource(&mySource);

    int     height = 0, width = 0;                  //取得宽和高
    IFrameDescription   * myDescription = nullptr;
    mySource->get_FrameDescription(&myDescription);
    myDescription->get_Height(&height);
    myDescription->get_Width(&width);

    IDepthFrameReader   * myReader = nullptr;
    mySource->OpenReader(&myReader);    //打开深度数据的Reader

    IDepthFrame * myFrame = nullptr;
    Mat temp(height, width, CV_16UC1);    //建立临时图像矩阵
    Mat img(height, width, CV_8UC1);
    
    QImage Qtemp;
    namedWindow("test", WINDOW_AUTOSIZE);
    while (1)
    {
        if (myReader->AcquireLatestFrame(&myFrame) == S_OK) //通过Reader尝试获取最新的一帧深度数据，放入深度帧中,并判断是否成功获取
        {
            myFrame->CopyFrameDataToArray(height * width, (UINT16 *)temp.data); //先把数据存入16位的图像矩阵中
            temp.convertTo(img, CV_8UC1);   //再把16位转换为8位
            imshow("test", img);
            
            /*显示图片再在Label上*/
            Qtemp = QImage((const unsigned char*)(img.data), img.cols, img.rows, img.step, QImage::Format_Indexed8);
            //设置图片大小和label的长宽一致
            Qtemp = Qtemp.scaled(ui->label->width(), ui->label->height(), Qt::IgnoreAspectRatio, Qt::SmoothTransformation);
            //将图像显示在label上
            ui->label->setPixmap(QPixmap::fromImage(Qtemp));
            myFrame->Release();
        }

        if (waitKey(30) == VK_ESCAPE){break;}
        //释放资源
    }
    myReader->Release();
    myDescription->Release();
    mySource->Release();
    mySensor->Close();
    mySensor->Release();

}

效果图如下

第二种方式

void MainWindow::on_pushButton_clicked()
{
    IKinectSensor * mySensor = nullptr;
    GetDefaultKinectSensor(&mySensor); //获取感应器
    mySensor->Open();//打开感应器

    IDepthFrameSource   * mySource = nullptr;   //取得深度数据
    mySensor->get_DepthFrameSource(&mySource);

    int     height = 0, width = 0;                  //取得宽和高等下用
    IFrameDescription   * myDescription = nullptr;
    mySource->get_FrameDescription(&myDescription);
    myDescription->get_Height(&height);
    myDescription->get_Width(&width);

    IDepthFrameReader   * myReader = nullptr;
    mySource->OpenReader(&myReader);    //打开深度数据的Reader

    IDepthFrame * myFrame = nullptr;
    Mat img(height, width, CV_16UC1);
    QImage Qtemp;
    namedWindow("test", WINDOW_AUTOSIZE);
    
    while (1)
    {
        if (myReader->AcquireLatestFrame(&myFrame) == S_OK) //通过Reader尝试获取最新的一帧深度数据，放入深度帧中,并判断是否成功获取
        {
            myFrame->CopyFrameDataToArray(height * width, (UINT16 *)img.data); //先把数据存入16位的图像矩阵中
            /*显示图片再QLabel上*/
            Qtemp = QImage((const unsigned char*)(img.data), img.cols, img.rows, img.step, QImage::Format_RGB16);
            //设置图片大小和label的长宽一致
            Qtemp = Qtemp.scaled(ui->label->width(), ui->label->height(), Qt::IgnoreAspectRatio, Qt::SmoothTransformation);
            //将图像显示在label上
            ui->label->setPixmap(QPixmap::fromImage(Qtemp));
            myFrame->Release();
        }

        if (waitKey(30) == VK_ESCAPE){break;}
        //释放资源
    }
    myReader->Release();
    myDescription->Release();
    mySource->Release();
    mySensor->Close();
    mySensor->Release();

}