The iris_image_matching from ekberjan

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Fails in detectPupil

First, I had to convert some constants for newer OpenCV versions.
It doesn't detect the pupil; Basically,
cv::divide(gh, gn, gh, 1, CV_32FC1);
results in a black image.

Testing images are the eyes in the github.

Cannot normalize image because contours are not correctly computed/loaded

[OpenCV 4.4.0, Nvdia Jetson Nano 4GB]

I've tried to implement Your repository, with included test images, but I have encountered significant error that I cannot pass, it is in pirProcessing.cpp -> segment() function where it does not seem to be working, part of the code with debug info:
`

	//Start Processing
	// Locate the pupil
	detectPupil(pSrc, rPupil, minPupilDiameter, maxPupilDiameter);

	// Fill the holes in an area surrounding pupil
	cv::Mat clone_src = pSrc.clone();
	// select a ROI	
	cv::Rect mRoi = cv::Rect(rPupil.getCenter().x - 3.0 / 4.0 * maxIrisDiameter / 2.0,
		rPupil.getCenter().y - 3.0 / 4.0*maxIrisDiameter / 2.0,
		3.0 / 4.0*maxIrisDiameter,
		3.0 / 4.0*maxIrisDiameter);
	std::cout << "mRoi: " << mRoi.size() << std::endl;
	std::cout << "clone_src: " << clone_src.size() << std::endl;

	
	try
	{
	cv::Mat clone_src2 = clone_src(mRoi).clone(); // this is source of error
	fillWhiteHoles(clone_src2, clone_src2);
	clone_src2.copyTo(clone_src(mRoi));
	}
	catch (const std::exception& e)
	{
		std::cout << e.what();
	}`

My output is as follows:


================
Start processing ... 
================

mRoi: 210, [210 x 210]
clone_src: [640 x 480]
OpenCV(4.1.1) /home/nvidia/host/build_opencv/nv_opencv/modules/core/src/matrix.cpp:466: error: (-215:Assertion failed) 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows in function 'Mat'
std::exception
1           0
Cannot normalize image because contours are not correctly computed/loaded

====================
End processing. 
====================```

To clarify - I've been using included images - "1.jpg" and "2.jpg", with default Gabor filter and image points, could you please try to help this? If need I could also upload zip file..

Thanks in advance