Qt实用技巧:使用OpenCV库操作摄像头拍照、调节参数和视频录制

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原博主博客地址:https://blog.csdn.net/qq21497936
本文章博客地址:https://blog.csdn.net/qq21497936/article/details/102993007

目录

需求

原理

注意

相关博客

Demo:cameraTool v1.0.0

运行效果

下载地址

核心代码

打开摄像头代码

调整属性代码

拍照代码

录像代码

开启录像

录像过程

关闭录像

入坑

入坑一:录制视频保存为空

入坑二:录制视频奔溃


 

    Qt实用技巧:使用OpenCV库操作摄像头拍照、调节参数和视频录制

 

需求

       使用OpenCV做功能,播放摄像头(usb和网络),对摄像头设备进行参数调整(亮度、对比度、饱和度、色调、增益、曝光度)调节,拍照和录像。

 

原理

       使用OpenCV打开摄像头(可打开USB和网路哦摄像头),渲染图像显示,可使用OpenCV属性调整摄像头的各项参数,使用拍照可以将当前图片拍照,使用录像可以从当前时间点开始录像直至停止录像。

 

注意

       目前测试,即使PC上有编码器,但是OpenCV存储mat为对应的录像视频文件失败,出现:

  • 录制完视频大小为200多B(基本为0),mp4格式时(查看入坑一
  • 录制完视频大小为6KB,avi格式时
  • 录制avi传入图像mat,源码内部出现错误宕机

相关博客

OpenCV开发专栏

OpenCV开发笔记(四):OpenCV图片和视频数据的读取与存储

OpenCV开发笔记(五):OpenCV读取与操作摄像头

Qt实用技巧:使用OpenCV库操作摄像头拍照、调节参数和视频录制

Qt实用技巧:使用OpenCV库的视频播放器(支持播放器操作,如暂停、恢复、停止、时间、进度条拽托等)

 

Demo:cameraTool v1.0.0

运行效果

下载地址

CSDN地址:https://download.csdn.net/download/qq21497936/11968135

 

核心代码

打开摄像头代码

bool OpenCVManager::startCapture(int usb, int width, int height)
{
    if(!_pVideoCapture->open(usb))
    {
        qDebug() << __FILE__ << __LINE__ << "Failed to start capture :" << usb;
        return false;
    }
    _width = width;
    _height = height;
    _pVideoCapture->set(CV_CAP_PROP_FRAME_WIDTH, _width);
    _pVideoCapture->set(CV_CAP_PROP_FRAME_HEIGHT, _height);
    _width = _pVideoCapture->get(CV_CAP_PROP_FRAME_WIDTH);
    _height = _pVideoCapture->get(CV_CAP_PROP_FRAME_HEIGHT);
    _pVideoCapture->set(CV_CAP_PROP_FPS, 25);
    _brightness  = _pVideoCapture->get(cv::CAP_PROP_BRIGHTNESS);
    _contrast    = _pVideoCapture->get(cv::CAP_PROP_CONTRAST);
    _saturation  = _pVideoCapture->get(cv::CAP_PROP_SATURATION);
    _hue         = _pVideoCapture->get(cv::CAP_PROP_HUE);
    _gain        = _pVideoCapture->get(cv::CAP_PROP_GAIN);
    _exposure    = _pVideoCapture->get(cv::CAP_PROP_EXPOSURE);
    QTimer::singleShot(0, this, SLOT(slot_captrueFrame()));
    return true;
}

调整属性代码

bool OpenCVManager::getShowProperty() const
{
    return _showProperty;
}

void OpenCVManager::setShowProperty(bool value)
{
    _showProperty = value;
}

double OpenCVManager::getBrightness()
{
    return _brightness;
}

void OpenCVManager::setBrightness(double value)
{
    _brightness = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_BRIGHTNESS, _brightness);
    }
}

double OpenCVManager::getContrast() const
{
    return _contrast;
}

void OpenCVManager::setContrast(double value)
{
    _contrast = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_CONTRAST, _contrast);
    }
}

double OpenCVManager::getSaturation() const
{
    return _saturation;
}

void OpenCVManager::setSaturation(double value)
{
    _saturation = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_SATURATION, _saturation);
    }
}

double OpenCVManager::getHue() const
{
    return _hue;
}

void OpenCVManager::setHue(double value)
{
    _hue = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_HUE, _hue);
    }
}

double OpenCVManager::getGain() const
{
    return _gain;
}

void OpenCVManager::setGain(double value)
{
    _gain = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_GAIN, _gain);
    }
}

double OpenCVManager::getExposure() const
{
    return _exposure;
}

void OpenCVManager::setExposure(double value)
{
    _exposure = value;
    if(_pVideoCapture)
    {
        _pVideoCapture->set(cv::CAP_PROP_EXPOSURE, _exposure);
    }
}

拍照代码

void PhotoAndRecordWidget::on_pushButton_photo_clicked()
{
    QString timeStr = QDateTime::currentDateTime().toString("yyyy-MM-hh hh_mm_ss");
    QString dirName = "photos";
    if(!QFile::exists(dirName))
    {
        QDir dir;
        if(!dir.mkdir(dirName))
        {
            ui->label_state->setText("创建文件夹 " + dirName + "失败!!!");
        }
    }
    QString filePath = QString("%1/%2.png").arg(dirName).arg(timeStr);
    if(_image.save(filePath))
    {
        ui->label_state->setText("保存照片至: " + filePath);
    }else{
        ui->label_state->setText("保存照片失败!!!");
    }
}

录像代码

开启录像

void OpenCVManager::startRecord(QString pathFile)
{
    // 多线程处理
    QMetaObject::invokeMethod(this, "slot_startRecord",
                              Qt::DirectConnection, Q_ARG(QString, pathFile));
}
void OpenCVManager::slot_startRecord(QString filePath)
{
    if(_pVideoWrite)
    {
        qDebug() << __FILE__ << __LINE__ << "It's recording!!!";
        return;
    }
    _pVideoWrite = new cv::VideoWriter;
    QString ext = filePath.mid(filePath.lastIndexOf(".") + 1);
    int cvFourcc = 0;
    if(ext == "mpg")
    {
        cvFourcc = CV_FOURCC('D','I','V','X');
        qDebug() << __FILE__ << __LINE__<< ext << "DIVX" << cvFourcc;
    }else if(ext == "avi")
    {
        cvFourcc = CV_FOURCC('M','J','P','G');
        qDebug() << __FILE__ << __LINE__<< ext << "MJPG" << cvFourcc;
    }else if(ext == "mp4")
    {
        // mp4目前录制不成功(可以生成文件,但是打开失败)
//        cvFourcc = CV_FOURCC('M','P','4','2');
        cvFourcc = CV_FOURCC('M','J','P','G');
//        cvFourcc = CV_FOURCC('I', 'Y', 'U', 'V');
        qDebug() << __FILE__ << __LINE__<< ext << "MP42" << cvFourcc;
    }
    _pVideoWrite->open(filePath.toStdString(), cvFourcc, 25, cv::Size(_width, _height));

    _recordFilePath = filePath;
    _recording = true;
}

录像过程

void OpenCVManager::slot_captrueFrame()
{
    if(!_running)
    {
        return;
    }
    if(_pVideoCapture->isOpened())
    {
        cv::Mat mat;
        *_pVideoCapture >> mat;
        if(_showProperty)
        {
            cv::putText(mat, QString("brightness: %1").arg(_brightness).toStdString(),
                        cvPoint(0, 30), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("  contrast: %1").arg(_contrast  ).toStdString(),
                        cvPoint(0, 60), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("saturation: %1").arg(_saturation).toStdString(),
                        cvPoint(0, 90), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("       hue: %1").arg(_hue       ).toStdString(),
                        cvPoint(0, 120), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("      gain: %1").arg(_gain      ).toStdString(),
                        cvPoint(0, 150), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("  exposure: %1").arg(_exposure  ).toStdString(),
                        cvPoint(0, 180), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
            cv::putText(mat, QString("press ESC out").toStdString(),
                        cvPoint(0, 210), cv::FONT_HERSHEY_COMPLEX, 1.0, cv::Scalar(255));
        }
        if(_recording)
        {
            _pVideoWrite->write(mat);
        }
        emit signal_captureOneFrame(mat);
        QTimer::singleShot(10, this, SLOT(slot_captrueFrame()));
    }
}

关闭录像

void OpenCVManager::stopRecord()
{
    // 多线程处理
    QMetaObject::invokeMethod(this, "slot_stopRecord", Qt::DirectConnection);
}

void OpenCVManager::slot_stopRecord()
{
    if(_pVideoWrite)
    {
        _recording = false;
        _pVideoWrite->release();
        delete _pVideoWrite;
        _pVideoWrite = 0;
    }
}

 

入坑

入坑一:录制视频保存为空

解决方法:

       编解码器得问题,cv::VideoWrite查阅相关资料发现其只支持固定的几个格式,其中就包括avi。

入坑二:录制视频奔溃

原因:

       因为初始设置摄像头的宽高(400 x 400),根据测试推断摄像头会默认给最接近初始化设置的分辨率,但是却不是直接是设置的(400 x 400)而是返回了最接近的分辨率(320 x 240),除非设置的分辨率正好是摄像头本身支持。

       所以设置分辨率是需要摄像头硬件支持。

解决方法:

进一步验证同时解决该问题


原博主博客地址:https://blog.csdn.net/qq21497936
本文章博客地址:https://blog.csdn.net/qq21497936/article/details/102993007

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