问题
I am wondering how would I convert the OpenCV C++ standard cv::Mat type to Qimage. I have been searching around, but have no luck. I have found some code that converts the IPlimage to Qimage, but that is not what I want. Thanks
回答1:
Michal Kottman's answer is valid and give expected result for some images but it'll fail on some cases. Here is a solution i found to that problem.
QImage imgIn= QImage((uchar*) img.data, img.cols, img.rows, img.step, QImage::Format_RGB888);
Difference is adding img.step part. qt won't complain without it but some images won't show properly without it. Hope this will help.
回答2:
Here is code for 24bit RGB and grayscale floating point. Easily adjustable for other types. It is as efficient as it gets.
QImage Mat2QImage(const cv::Mat3b &src) {
QImage dest(src.cols, src.rows, QImage::Format_ARGB32);
for (int y = 0; y < src.rows; ++y) {
const cv::Vec3b *srcrow = src[y];
QRgb *destrow = (QRgb*)dest.scanLine(y);
for (int x = 0; x < src.cols; ++x) {
destrow[x] = qRgba(srcrow[x][2], srcrow[x][1], srcrow[x][0], 255);
}
}
return dest;
}
QImage Mat2QImage(const cv::Mat_<double> &src)
{
double scale = 255.0;
QImage dest(src.cols, src.rows, QImage::Format_ARGB32);
for (int y = 0; y < src.rows; ++y) {
const double *srcrow = src[y];
QRgb *destrow = (QRgb*)dest.scanLine(y);
for (int x = 0; x < src.cols; ++x) {
unsigned int color = srcrow[x] * scale;
destrow[x] = qRgba(color, color, color, 255);
}
}
return dest;
}
回答3:
To convert from cv::Mat
to QImage
, you could try to use the QImage(uchar * data, int width, int height, Format format)
constructor as follows (mat
is a cv::Mat
) :
QImage img((uchar*)mat.data, mat.cols, mat.rows, QImage::Format_RGB32);
It is more efficient than manually converting the pixels to the QImage
, but you have to keep the original cv::Mat
image in memory. It can be easily converted to a QPixmap
and displayed using a QLabel
:
QPixmap pixmap = QPixmap::fromImage(img);
myLabel.setPixmap(pixmap);
Update
Because OpenCV uses BGR order by default, you should first use cvtColor(src, dst, CV_BGR2RGB)
to get an image layout that Qt understands.
Update 2:
If the image you are trying to show has nonstandard stride (when it is non-continuous, submatrix), the image may appeard distorted. In this case, it is better to explicitly specify the stride using cv::Mat::step1()
:
QImage img((uchar*)mat.data, mat.cols, mat.rows, mat.step1(), QImage::Format_RGB32);
回答4:
OpenCV loads images into a Mat
in Blue-Green-Red (BGR) format by default, while QImage
expects RGB. This means that if you convert a Mat
to QImage
, the blue and red channels will be swapped. To fix this, before constructing the QImage
, you need to change the BRG format of your Mat
to RGB, via the cvtColor
method using argument CV_BGR2RGB
, like so:
Mat mat = imread("path/to/image.jpg");
cvtColor(mat, mat, CV_BGR2RGB);
QImage image(mat.data, mat.cols, mat.rows, QImage::Format_RGB888);
Alternatively, use rgbSwapped()
on the QImage
QImage image = QImage(mat.data, mat.cols, mat.rows, QImage::Format_RGB888).rgbSwapped());
回答5:
Mat opencv_image = imread("fruits.jpg", CV_LOAD_IMAGE_COLOR);
Mat dest;
cvtColor(opencv_image, dest,CV_BGR2RGB);
QImage image((uchar*)dest.data, dest.cols, dest.rows,QImage::Format_RGB888);
This is what worked for me. I modified Michal Kottman's code above.
回答6:
cv::Mat has a conversion operator to IplImage, so if you have something that converts the IplImage to a QImage, just use that (or make the - probably minor - adjustments to take the cv::Mat directly, the memory layout is the same, it's "just" the header that is different.)
回答7:
I have the same problem as you too, so I develop four functions to alleviate my pain, they are
QImage mat_to_qimage_cpy(cv::Mat const &mat, bool swap = true);
QImage mat_to_qimage_ref(cv::Mat &mat, bool swap = true);
cv::Mat qimage_to_mat_cpy(QImage const &img, bool swap = true);
cv::Mat qimage_to_mat_ref(QImage &img, bool swap = true);
These functions can handle the images with 1, 3, 4 channels, every pixel must occupy one byte only(CV_8U->Format_Indexed8, CV_8UC3->QImage::Format_RGB888, CV_8UC4->QImage::Format_ARGB32), I do not deal with other types yet(QImage::Format_RGB16, QImage::Format_RGB666 and so on). The codes are located at github.
The key concepts of **transform mat to Qimage ** are
/**
* @brief copy QImage into cv::Mat
*/
struct mat_to_qimage_cpy_policy
{
static QImage start(cv::Mat const &mat, QImage::Format format)
{
//The fourth parameters--mat.step is crucial, because
//opencv may do padding on every row, you need to tell
//the qimage how many bytes per row
//The last thing is if you want to copy the buffer of cv::Mat
//to the qimage, you need to call copy(), else the qimage
//will share the buffer of cv::Mat
return QImage(mat.data, mat.cols, mat.rows, mat.step, format).copy();
}
};
struct mat_to_qimage_ref_policy
{
static QImage start(cv::Mat &mat, QImage::Format format)
{
//every thing are same as copy policy, but this one share
//the buffer of cv::Mat but not copy
return QImage(mat.data, mat.cols, mat.rows, mat.step, format);
}
};
The key concepts of transform cv::Mat to Qimage
are
/**
* @brief copy QImage into cv::Mat
*/
struct qimage_to_mat_cpy_policy
{
static cv::Mat start(QImage const &img, int format)
{
//same as convert mat to qimage, the fifth parameter bytesPerLine()
//indicate how many bytes per row
//If you want to copy the data you need to call clone(), else QImage
//cv::Mat will share the buffer
return cv::Mat(img.height(), img.width(), format,
const_cast<uchar*>(img.bits()), img.bytesPerLine()).clone();
}
};
/**
* @brief make Qimage and cv::Mat share the same buffer, the resource
* of the cv::Mat must not deleted before the QImage finish
* the jobs.
*/
struct qimage_to_mat_ref_policy
{
static cv::Mat start(QImage &img, int format)
{
//same as copy policy, but this one will share the buffer
return cv::Mat(img.height(), img.width(), format,
img.bits(), img.bytesPerLine());
}
};
If would be good if some one can extend these functions and make them support more types, please inform me if there are any bugs.
回答8:
This post shows how to convert a QImage
to OpenCV's IplImage
and vise-versa.
After that, if you need help to convert between IplImage*
to cv::Mat
:
// Assume data is stored by:
// IplImage* image;
cv::Mat mat(image, true); // Copies the data from image
cv::Mat mat(image, false); // Doesn't copy the data!
It's a hack, but will get the job done.
回答9:
Use the static function convert16uc1 for the depth image:
QPixmap Viewer::convert16uc1(const cv::Mat& source)
{
quint16* pSource = (quint16*) source.data;
int pixelCounts = source.cols * source.rows;
QImage dest(source.cols, source.rows, QImage::Format_RGB32);
char* pDest = (char*) dest.bits();
for (int i = 0; i < pixelCounts; i++)
{
quint8 value = (quint8) ((*(pSource)) >> 8);
*(pDest++) = value; // B
*(pDest++) = value; // G
*(pDest++) = value; // R
*(pDest++) = 0; // Alpha
pSource++;
}
return QPixmap::fromImage(dest);
}
QPixmap Viewer::convert8uc3(const cv::Mat& source)
{
quint8* pSource = source.data;
int pixelCounts = source.cols * source.rows;
QImage dest(source.cols, source.rows, QImage::Format_RGB32);
char* pDest = (char*) dest.bits();
for (int i = 0; i < pixelCounts; i++)
{
*(pDest++) = *(pSource+2); // B
*(pDest++) = *(pSource+1); // G
*(pDest++) = *(pSource+0); // R
*(pDest++) = 0; // Alpha
pSource+=3;
}
return QPixmap::fromImage(dest);
}
QPixmap Viewer::convert16uc3(const cv::Mat& source)
{
quint16* pSource = (quint16*) source.data;
int pixelCounts = source.cols * source.rows;
QImage dest(source.cols, source.rows, QImage::Format_RGB32);
char* pDest = (char*) dest.bits();
for (int i = 0; i < pixelCounts; i++)
{
*(pDest++) = *(pSource+2); // B
*(pDest++) = *(pSource+1); // G
*(pDest++) = *(pSource+0); // R
*(pDest++) = 0; // Alpha
pSource+=3;
}
return QPixmap::fromImage(dest);
}
回答10:
It might seem silly, but saving the image to a folder and then reading into a QImage object seemed to me the quickest way.
Mat x = imread("--.jpg");
imwrite("x.jpg", x);
QImage img("x.jpg");
回答11:
This did the trick for me. It's a little dodgy, has terrible performance (as pointed out in the comments), but works with all color formats I have thrown at it so far, and it is also very simple to do.
The procedure is as follows:
cv::Mat image = //...some image you want to display
// 1. Save the cv::Mat to some temporary file
cv::imwrite("../Images/tmp.jpg",image);
// 2. Load the image you just saved as a QImage
QImage img;
img.load("../Images/tmp.jpg");
Done!
If you, say, want to display it in a QLabel, then continue with:
// Set QImage as content of MyImageQLabel
ui-> MyImageQLabel->setPixmap(QPixmap::fromImage(img, Qt::AutoColor));
I personally use this for a simple image editor.
来源:https://stackoverflow.com/questions/5026965/how-to-convert-an-opencv-cvmat-to-qimage