CV_Assert fail error in ximgproc module

edit

Problem : I have opencv 3.0 configured with extra modules on my system. I want to use the structured edge detector implemented in module ximgproc module. link : http://docs.opencv.org/trunk/d0/da5/t...

But it is giving following assert fail error on every image I tried till now.

512 512
OpenCV Error: Assertion failed (y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0])) in cv::Mat::ptr, file C:\Program Files\OpenCV\opencv3.0\sources\modules\core\include\opencv2/core/mat.inl.hpp, line 750
Press any key to continue . . .

This error is caused by the function

detectEdges(src,dst)

Actual file path on my system is opencv3.0\sources\modules\core\include\opencv2/core/mat.inl.hpp . I am using the model file given in samples ('model.yml.gz')

Thanks

Code used:

#include <algorithm>
#include <vector>
#include <math.h>
#include <stdlib.h>
#include <string.h>
#include <iostream>
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"

#include "opencv2/core/utility.hpp"
#include "ximgproc/include/opencv2/ximgproc.hpp"
#include "ximgproc\include\opencv2\ximgproc\structured_edge_detection.hpp"

using namespace std;
using namespace cv;
using namespace cv::ximgproc;

int main(int argc, const char** argv)
{
    std::string modelFilename = "model.yml.gz";
    std::string inFilename = "01.png"; // "lena.jpg"
    std::string outFilename = "" ;//parser.get<std::string>("o");
    Mat image = imread(inFilename,1);
    if (image.empty())
    {
        printf("Cannot read image file: %s\n", inFilename.c_str());
        return -1;
    }
    Size size = image.size();
    std::cout << size.height << " " << size.width << std::endl;
    if ((size.height < 31) || (size.width < 20)) {
        if (size.height < 31)
            size.height = 31;
        if (size.width < 15)
            size.width = 15;
        resize(image, image, size, 0.0, 0.0, INTER_AREA);
    }
    size.width = 400;
    size.height = 213;
    resize(image, image, size, 0.0, 0.0, INTER_AREA);
    image.convertTo(image, DataType<float>::type, 1.0 / 255.0);

    Mat edges = Mat(image.rows,image.cols , image.type(), float(0.0));
    Ptr<RFFeatureGetter> rfptr = createRFFeatureGetter();

    Ptr<StructuredEdgeDetection> pDollar =
        createStructuredEdgeDetection(modelFilename, rfptr);
    //cerr << "reaching till here " << endl;

    pDollar->detectEdges((const Mat)image , edges);
    //cerr << " unreached " << endl;
    if (outFilename == "")
    {
        namedWindow("edges", 1);
        imshow("edges", edges);
        waitKey(0);
    }
    else
        imwrite(outFilename, 255 * edges);
    return 0;
}