OpenCV/opencv_contrib/modules/ximgproc/samples/edgeboxes_demo.cpp

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#include "opencv2/ximgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>

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

static void help()
{
    std::cout << std::endl <<
    "This sample demonstrates structured edge detection and edgeboxes." << std::endl <<
    "Usage:" << std::endl <<
    "./edgeboxes_demo [<model>] [<input_image>]" << std::endl;
}

int main(int argc, char **argv)
{

  if (argc < 3)
  {
    help();
    return -1;
  }

  Ptr<StructuredEdgeDetection> pDollar = createStructuredEdgeDetection(argv[1]);

  Mat im;
  im = imread(argv[2]);

  Mat rgb_im;
  cvtColor(im, rgb_im, COLOR_BGR2RGB);
  rgb_im.convertTo(rgb_im, CV_32F, 1.0 / 255.0f);

  Mat edge_im;
  pDollar->detectEdges(rgb_im, edge_im);

  // computes orientation from edge map
  Mat O;
  pDollar->computeOrientation(edge_im, O);

  // apply edge nms
  Mat edge_nms;
  pDollar->edgesNms(edge_im, O, edge_nms, 2, 0, 1, true);

  std::vector<Rect> boxes;
  Ptr<EdgeBoxes> edgeboxes = createEdgeBoxes();
  edgeboxes->setMaxBoxes(30);
  edgeboxes->getBoundingBoxes(edge_nms, O, boxes);

  for(int i = 0; i < (int)boxes.size(); i++)
  {
      Point p1(boxes[i].x, boxes[i].y), p2(boxes[i].x + boxes[i].width, boxes[i].y + boxes[i].height);
      Scalar color(0, 255, 0);
      rectangle(im, p1, p2, color, 1);
  }

  imshow("Edge", edge_im);
  imshow("Nms", edge_nms);
  imshow("Image & boxes", im);
  waitKey(0);

  return 0;
 }