使用Qt Creator GUI来播放video

frame = cvQueryFrame(camera); while(key!='q'){ cvNamedWindow( "main",CV_WINDOW_AUTOSIZE); cvShowImage("main", frame); if(frame!=NULL){ drawSquares( frame, findSquares4( frame, storage ) ); /* wait for key. Also the function cvWaitKey takes care of event processing */ key = cvWaitKey(33); IplImage *img = cvCloneImage(frame); if (img->origin){ cvFlip(img); img->origin= 0; } QImage* qimg = IplImageToQImage(img) // qimg = IplImage2QImage (img); QLabel label; ui->label->setPixmap(QPixmap::fromImage(qimg)); cvReleaseImage(&img); 

我喜欢用Qt Creator播放video。 我使用上面的代码，但它不行。 我收到以下错误：

IplImageToQImage未在此范围内声明

有谁知道如何在同一窗口中使用OpenCV和Qt Creator播放video？

Answer 1

嗯，这是有道理的，因为IplImage2QImage()不是Qt和OpenCV的一部分。

您可能已经看到此function在Internet上的某处使用并复制/粘贴到您的代码中。

通过在Google上进行简单搜索，我发现了此function的实现 ：

 static QImage IplImage2QImage(const IplImage *iplImage) { int height = iplImage->height; int width = iplImage->width; if (iplImage->depth == IPL_DEPTH_8U && iplImage->nChannels == 3) { const uchar *qImageBuffer = (const uchar*)iplImage->imageData; QImage img(qImageBuffer, width, height, QImage::Format_RGB888); return img.rgbSwapped(); } else if (iplImage->depth == IPL_DEPTH_8U && iplImage->nChannels == 1){ const uchar *qImageBuffer = (const uchar*)iplImage->imageData; QImage img(qImageBuffer, width, height, QImage::Format_Indexed8); QVector colorTable; for (int i = 0; i < 256; i++){ colorTable.push_back(qRgb(i, i, i)); } img.setColorTable(colorTable); return img; }else{ qWarning() << "Image cannot be converted."; return QImage(); } } 

希望你知道如何处理它。

我写了这个最小的例子来说明如何成功使用IplImage2QImage() 。 它使用cvLoadImage()从磁盘加载名为test.jpg的文件，然后将其显示在QLabel上。 它很简单，而且很有效！

 #include  #include  #include  #include  #include  static QImage IplImage2QImage(const IplImage *iplImage) { int height = iplImage->height; int width = iplImage->width; if (iplImage->depth == IPL_DEPTH_8U && iplImage->nChannels == 3) { const uchar *qImageBuffer = (const uchar*)iplImage->imageData; QImage img(qImageBuffer, width, height, QImage::Format_RGB888); return img.rgbSwapped(); } else if (iplImage->depth == IPL_DEPTH_8U && iplImage->nChannels == 1) { const uchar *qImageBuffer = (const uchar*)iplImage->imageData; QImage img(qImageBuffer, width, height, QImage::Format_Indexed8); QVector colorTable; for (int i = 0; i < 256; i++) { colorTable.push_back(qRgb(i, i, i)); } img.setColorTable(colorTable); return img; } else { std::cout << "Image cannot be converted."; return QImage(); } } int main(int argc, char** argv) { QApplication app(argc, argv); IplImage* img = cvLoadImage("test.jpg", 1); if (!img) { std::cout << "Failed to load test.jpg"; return -1; } QImage qt_img = IplImage2QImage(img); QLabel label; label.setPixmap(QPixmap::fromImage(qt_img)); label.show(); return app.exec(); } 

在我的Linux机器上，我编译它：

 g++ qimage.cpp -o qimage -I/usr/local/include/opencv -I/usr/local/include -I/opt/qt_47x/include -I/opt/qt_47x/include/QtGui -L/usr/local/lib -L/opt/qt_47x/lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lQtCore -lQtGui