您可以使用 opencv 库来读取目录中的所有图像。
vector<String> filenames; // notice here that we are using the Opencv's embedded "String" class
String folder = "Deri-45x45/"; // again we are using the Opencv's embedded "String" class
float sayi = 0;
glob(folder, filenames); // new function that does the job ;-)
float toplam = 0;
for (size_t i = 0; i < filenames.size(); ++i)
{
Mat img = imread(filenames[i],0);
//Display img in QLabel
QImage imgIn = putImage(img);
imgIn = imgIn.scaled(ui->label_15->width(), ui->label_15->height(),Qt::IgnoreAspectRatio, Qt::SmoothTransformation);
ui->label_15->setPixmap(QPixmap::fromImage(imgIn));
}
为了将 Mat 类型转换为 QImage,我们使用 putImage 函数:
QImage putImage(const Mat& mat)
{
// 8-bits unsigned, NO. OF CHANNELS=1
if (mat.type() == CV_8UC1)
{
// Set the color table (used to translate colour indexes to qRgb values)
QVector<QRgb> colorTable;
for (int i = 0; i < 256; i++)
colorTable.push_back(qRgb(i, i, i));
// Copy input Mat
const uchar *qImageBuffer = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage img(qImageBuffer, mat.cols, mat.rows, mat.step, QImage::Format_Indexed8);
img.setColorTable(colorTable);
return img;
}
// 8-bits unsigned, NO. OF CHANNELS=3
if (mat.type() == CV_8UC3)
{
// Copy input Mat
const uchar *qImageBuffer = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage img(qImageBuffer, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
return img.rgbSwapped();
}
else
{
qDebug() << "ERROR: Mat could not be converted to QImage.";
return QImage();
}
}