IMPORTANT: I fixed the problem. Solution at the end.
What do I try to achieve? Display an image with OpenCV cv::imshow method. (imshow Documentation)
The image which is a 3x3 matrix is created like such:
Mat mask(3, 3, CV_32F, new float[9]{0, 1, 0, 1, -4, 1, 0, 1, 0});
To display the image I call imshow("mask", mask);
What is my problem? Like I mentioned in the title there is an exception thrown while trying to display the image. Complete Error Message:
terminate called after throwing an instance of 'cv::Exception' what():
OpenCV(4.0.0-pre) /home/mrlab/Libraries/opencv_source/modules/highgui
/src/window_gtk.cpp:146: error: (-215:Assertion failed)
dst.data == widget->original_image->data.ptr in function 'cvImageWidgetSetImage'
Link to window_gtk.cpp
What did I already try?
Mat mask(3, 3, CV_32F, new float[9]{0, 1, 0, 1, 0, 1, 0, 1, 0});
same errorimwrite("mask.png", mask)
Looks like
this. Pretty small I know. I scaled the values to be in range of 0 to 255 since that what png needs. works perfectly fineComplete code around my corrupted lines:
void high_pass(){
Mat src_f;
// Fourier transform src_bw
src_f = fourier(src_bw);
// Create Laplace High Pass Kernel
Mat mask(3, 3, CV_32F, new float[9]{0, 1, 0, 1, -4, 1, 0, 1, 0});
// In case of using fp values (0 to 1) initialize like this:
// Mat mask(3, 3, CV_32F, new float[9]{0, 1, 0, 1, 0, 1, 0, 1, 0});
imshow("mask", mask);
// Fourier transform kernel
Mat mask_f = fourier_kernel(mask, src_f.size());
Mat hp_filtered;
// Apply filter
mulSpectrums(src_f, mask_f, hp_filtered, DFT_ROWS);
// Transform it back
dst = fourier_inv(hp_filtered);
// Swap quadrants after applying filter
dst = swap_quadrants(dst);
// Show result
//imshow(WINDOW_NAME + "high pass", dst);
}
FYI: The last line threw the same exception which is why it is commented out. I ask the question with "mask" because it is easier.
After writing the question I had another idea.
Solution: I converted the CV_32F
type matrix to a CV_8U
matrix and scaled all values to be in range of 0 to 255. This solved the problem.
This is something I should have thought of first. For some reason it took me one hour to realize. Just in case someone else is encountering the same error or mental block I still post this here.
Solution: I converted the CV_32F type matrix to a CV_8U matrix and scaled all values to be in range of 0 to 255. This solved the problem.
Edit: As stated by Nikolaj Fogh it is also possible to revert to OpenCV Version 3.4.3. I did not test it myself.