c/c++语言开发共享使用Qt Creator GUI来播放video

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