testKeyPoint-2.cpp

Test keypoint matching and pose estimation.

/****************************************************************************
 *
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2019 by Inria. All rights reserved.
 *
 * This software is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact Inria about acquiring a ViSP Professional
 * Edition License.
 *
 * See http://visp.inria.fr for more information.
 *
 * This software was developed at:
 * Inria Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 *
 * If you have questions regarding the use of this file, please contact
 * Inria at visp@inria.fr
 *
 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 *
 * Description:
 * Test keypoint matching and pose estimation.
 *
 * Authors:
 * Souriya Trinh
 *
 *****************************************************************************/

#include <iostream>

#include <visp3/core/vpConfig.h>

#if defined(VISP_HAVE_OPENCV) && (VISP_HAVE_OPENCV_VERSION >= 0x020301)

#include <visp3/core/vpImage.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/io/vpParseArgv.h>
#include <visp3/io/vpVideoReader.h>
#include <visp3/mbt/vpMbEdgeTracker.h>
#include <visp3/vision/vpKeyPoint.h>

// List of allowed command line options
#define GETOPTARGS "cdph"

void usage(const char *name, const char *badparam);
bool getOptions(int argc, const char **argv, bool &click_allowed, bool &display);

void usage(const char *name, const char *badparam)
{
  fprintf(stdout, "\n\
Test keypoints matching.\n\
\n\
SYNOPSIS\n\
  %s [-c] [-d] [-p] [-h]\n", name);

  fprintf(stdout, "\n\
OPTIONS:                                               \n\
\n\
  -c\n\
     Disable the mouse click. Useful to automaze the \n\
     execution of this program without humain intervention.\n\
\n\
  -d \n\
     Turn off the display.\n\
\n\
  -p \n\
     Use parallel RANSAC.\n\
\n\
  -h\n\
     Print the help.\n");

  if (badparam)
    fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}

bool getOptions(int argc, const char **argv, bool &click_allowed, bool &display,
                bool &use_parallel_ransac)
{
  const char *optarg_;
  int c;
  while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg_)) > 1) {

    switch (c) {
    case 'c':
      click_allowed = false;
      break;
    case 'd':
      display = false;
      break;
    case 'p':
      use_parallel_ransac = true;
      break;
    case 'h':
      usage(argv[0], NULL);
      return false;
      break;

    default:
      usage(argv[0], optarg_);
      return false;
      break;
    }
  }

  if ((c == 1) || (c == -1)) {
    // standalone param or error
    usage(argv[0], NULL);
    std::cerr << "ERROR: " << std::endl;
    std::cerr << "  Bad argument " << optarg_ << std::endl << std::endl;
    return false;
  }

  return true;
}

template<typename Type>
void run_test(const std::string &env_ipath, bool opt_click_allowed, bool opt_display, bool use_parallel_ransac,
              vpImage<Type> &I, vpImage<Type> &IMatching)
{
  // Set the path location of the image sequence
  std::string dirname = vpIoTools::createFilePath(env_ipath, "mbt/cube");

  // Build the name of the image files
  std::string filenameRef = vpIoTools::createFilePath(dirname, "image0000.pgm");
  vpImageIo::read(I, filenameRef);
  std::string filenameCur = vpIoTools::createFilePath(dirname, "image%04d.pgm");

#if defined VISP_HAVE_X11
  vpDisplayX display;
#elif defined VISP_HAVE_GTK
  vpDisplayGTK display;
#elif defined VISP_HAVE_GDI
  vpDisplayGDI display;
#else
  vpDisplayOpenCV display;
#endif

  if (opt_display) {
    display.setDownScalingFactor(vpDisplay::SCALE_AUTO);
    display.init(I, 0, 0, "ORB keypoints matching and pose estimation");
  }

  vpCameraParameters cam;
  vpMbEdgeTracker tracker;
  // Load config for tracker
  std::string tracker_config_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.xml");

  tracker.loadConfigFile(tracker_config_file);
  tracker.getCameraParameters(cam);
#if 0
  // Corresponding parameters manually set to have an example code
  vpMe me;
  me.setMaskSize(5);
  me.setMaskNumber(180);
  me.setRange(8);
  me.setThreshold(10000);
  me.setMu1(0.5);
  me.setMu2(0.5);
  me.setSampleStep(4);
  me.setNbTotalSample(250);
  tracker.setMovingEdge(me);
  cam.initPersProjWithoutDistortion(547.7367575, 542.0744058, 338.7036994, 234.5083345);
  tracker.setCameraParameters(cam);
  tracker.setNearClippingDistance(0.01);
  tracker.setFarClippingDistance(100.0);
  tracker.setClipping(tracker.getClipping() | vpMbtPolygon::FOV_CLIPPING);
#endif

  tracker.setAngleAppear(vpMath::rad(89));
  tracker.setAngleDisappear(vpMath::rad(89));

  // Load CAO model
  std::string cao_model_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.cao");
  tracker.loadModel(cao_model_file);

  // Initialize the pose
  std::string init_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.init");
  if (opt_display && opt_click_allowed) {
    tracker.initClick(I, init_file);
  } else {
    vpHomogeneousMatrix cMoi(0.02044769891, 0.1101505452, 0.5078963719, 2.063603907, 1.110231561, -0.4392789872);
    tracker.initFromPose(I, cMoi);
  }

  // Get the init pose
  vpHomogeneousMatrix cMo;
  tracker.getPose(cMo);

  // Init keypoints
  vpKeyPoint keypoints("ORB", "ORB", "BruteForce-Hamming");
  keypoints.setRansacParallel(use_parallel_ransac);
#if (VISP_HAVE_OPENCV_VERSION >= 0x020400)
  // Bug when using LSH index with FLANN and OpenCV 2.3.1.
  // see http://code.opencv.org/issues/1741 (Bug #1741)
  keypoints.setMatcher("FlannBased");
#if (VISP_HAVE_OPENCV_VERSION < 0x030000)
  keypoints.setDetectorParameter("ORB", "nLevels", 1);
#else
  cv::Ptr<cv::ORB> orb_detector = keypoints.getDetector("ORB").dynamicCast<cv::ORB>();
  if (orb_detector) {
    orb_detector->setNLevels(1);
  }
#endif
#endif

  // Detect keypoints on the current image
  std::vector<cv::KeyPoint> trainKeyPoints;
  double elapsedTime;
  keypoints.detect(I, trainKeyPoints, elapsedTime);

  // Keep only keypoints on the cube
  std::vector<vpPolygon> polygons;
  std::vector<std::vector<vpPoint> > roisPt;
  std::pair<std::vector<vpPolygon>, std::vector<std::vector<vpPoint> > > pair =
      tracker.getPolygonFaces(true); // To detect an issue with CI
  polygons = pair.first;
  roisPt = pair.second;

  // Compute the 3D coordinates
  std::vector<cv::Point3f> points3f;
  vpKeyPoint::compute3DForPointsInPolygons(cMo, cam, trainKeyPoints, polygons, roisPt, points3f);

  // Build the reference keypoints
  keypoints.buildReference(I, trainKeyPoints, points3f, false, 1);

  // Read image 150
  filenameRef = vpIoTools::createFilePath(dirname, "image0150.pgm");
  vpImageIo::read(I, filenameRef);

  // Init pose at image 150
  cMo.buildFrom(0.02651282185, -0.03713587374, 0.6873765919, 2.314744454, 0.3492296488, -0.1226054828);
  tracker.initFromPose(I, cMo);

  // Detect keypoints on the image 150
  keypoints.detect(I, trainKeyPoints, elapsedTime);

  // Keep only keypoints on the cube
  pair = tracker.getPolygonFaces(true, true,
                                 true); // To detect an issue with CI
  polygons = pair.first;
  roisPt = pair.second;

  // Compute the 3D coordinates
  vpKeyPoint::compute3DForPointsInPolygons(cMo, cam, trainKeyPoints, polygons, roisPt, points3f);

  // Build the reference keypoints
  keypoints.buildReference(I, trainKeyPoints, points3f, true, 2);

  // Read image 200
  filenameRef = vpIoTools::createFilePath(dirname, "image0200.pgm");
  vpImageIo::read(I, filenameRef);

  // Init pose at image 200
  cMo.buildFrom(0.02965448956, -0.07283091786, 0.7253526051, 2.300529617, -0.4286674806, 0.1788761025);
  tracker.initFromPose(I, cMo);

  // Detect keypoints on the image 200
  keypoints.detect(I, trainKeyPoints, elapsedTime);

  // Keep only keypoints on the cube
  pair = tracker.getPolygonFaces(false); // To detect an issue with CI
  polygons = pair.first;
  roisPt = pair.second;

  // Compute the 3D coordinates
  vpKeyPoint::compute3DForPointsInPolygons(cMo, cam, trainKeyPoints, polygons, roisPt, points3f);

  // Build the reference keypoints
  keypoints.buildReference(I, trainKeyPoints, points3f, true, 3);

  // Init reader for getting the input image sequence
  vpVideoReader g;
  g.setFileName(filenameCur);
  g.open(I);
  g.acquire(I);

#if defined VISP_HAVE_X11
  vpDisplayX display2;
#elif defined VISP_HAVE_GTK
  vpDisplayGTK display2;
#elif defined VISP_HAVE_GDI
  vpDisplayGDI display2;
#else
  vpDisplayOpenCV display2;
#endif

  keypoints.createImageMatching(I, IMatching);

  if (opt_display) {
    display2.setDownScalingFactor(vpDisplay::SCALE_AUTO);
    display2.init(IMatching, 0, (int)I.getHeight() / vpDisplay::getDownScalingFactor(I) + 80, "IMatching");
  }

  bool opt_click = false;
  double error;
  vpMouseButton::vpMouseButtonType button;
  std::vector<double> times_vec;
  while ((opt_display && !g.end()) || (!opt_display && g.getFrameIndex() < 30)) {
    g.acquire(I);

    if (opt_display) {
      vpDisplay::display(I);

      // Display image matching
      keypoints.insertImageMatching(I, IMatching);

      vpDisplay::display(IMatching);
    }

    // Match keypoints and estimate the pose
    if (keypoints.matchPoint(I, cam, cMo, error, elapsedTime)) {
      times_vec.push_back(elapsedTime);

      tracker.setCameraParameters(cam);
      tracker.setPose(I, cMo);

      if (opt_display) {
        tracker.display(I, cMo, cam, vpColor::red, 2);
        vpDisplay::displayFrame(I, cMo, cam, 0.025, vpColor::none, 3);

        std::vector<vpImagePoint> ransacInliers = keypoints.getRansacInliers();
        std::vector<vpImagePoint> ransacOutliers = keypoints.getRansacOutliers();

        for (std::vector<vpImagePoint>::const_iterator it = ransacInliers.begin(); it != ransacInliers.end(); ++it) {
          vpDisplay::displayCircle(I, *it, 4, vpColor::green);
          vpImagePoint imPt(*it);
          imPt.set_u(imPt.get_u() + I.getWidth());
          imPt.set_v(imPt.get_v() + I.getHeight());
          vpDisplay::displayCircle(IMatching, imPt, 4, vpColor::green);
        }

        for (std::vector<vpImagePoint>::const_iterator it = ransacOutliers.begin(); it != ransacOutliers.end();
             ++it) {
          vpDisplay::displayCircle(I, *it, 4, vpColor::red);
          vpImagePoint imPt(*it);
          imPt.set_u(imPt.get_u() + I.getWidth());
          imPt.set_v(imPt.get_v() + I.getHeight());
          vpDisplay::displayCircle(IMatching, imPt, 4, vpColor::red);
        }

        keypoints.displayMatching(I, IMatching);

        // Display model in the correct sub-image in IMatching
        vpCameraParameters cam2;
        cam2.initPersProjWithoutDistortion(cam.get_px(), cam.get_py(), cam.get_u0() + I.getWidth(),
                                           cam.get_v0() + I.getHeight());
        tracker.setCameraParameters(cam2);
        tracker.setPose(IMatching, cMo);
        tracker.display(IMatching, cMo, cam2, vpColor::red, 2);
        vpDisplay::displayFrame(IMatching, cMo, cam2, 0.025, vpColor::none, 3);
      }
    }

    if (opt_display) {
      vpDisplay::flush(I);
      vpDisplay::flush(IMatching);
    }

    if (opt_click_allowed && opt_display) {
      // Click requested to process next image
      if (opt_click) {
        vpDisplay::getClick(I, button, true);
        if (button == vpMouseButton::button3) {
          opt_click = false;
        }
      } else {
        // Use right click to enable/disable step by step tracking
        if (vpDisplay::getClick(I, button, false)) {
          if (button == vpMouseButton::button3) {
            opt_click = true;
          } else if (button == vpMouseButton::button1) {
            break;
          }
        }
      }
    }
  }

  if (!times_vec.empty()) {
    std::cout << "Computation time, Mean: " << vpMath::getMean(times_vec)
              << " ms ; Median: " << vpMath::getMedian(times_vec)
              << " ms ; Std: " << vpMath::getStdev(times_vec) << std::endl;
  }
}

int main(int argc, const char **argv)
{
  try {
    std::string env_ipath;
    bool opt_click_allowed = true;
    bool opt_display = true;
    bool use_parallel_ransac = false;

    // Read the command line options
    if (getOptions(argc, argv, opt_click_allowed, opt_display, use_parallel_ransac) == false) {
      exit(-1);
    }

    // Get the visp-images-data package path or VISP_INPUT_IMAGE_PATH
    // environment variable value
    env_ipath = vpIoTools::getViSPImagesDataPath();

    if (env_ipath.empty()) {
      std::cerr << "Please set the VISP_INPUT_IMAGE_PATH environment "
                   "variable value."
                << std::endl;
      return -1;
    }

    {
      vpImage<unsigned char> I, IMatching;

      std::cout << "-- Test on gray level images" << std::endl;

      run_test(env_ipath, opt_click_allowed, opt_display, use_parallel_ransac, I, IMatching);
    }
    {
      vpImage<vpRGBa> I, IMatching;

      std::cout << "-- Test on color images" << std::endl;

      run_test(env_ipath, opt_click_allowed, opt_display, use_parallel_ransac, I, IMatching);
    }

  } catch (const vpException &e) {
    std::cerr << e.what() << std::endl;
    return -1;
  }

  std::cout << "testKeyPoint-2 is ok !" << std::endl;
  return 0;
}
#else
int main()
{
  std::cerr << "You need OpenCV library." << std::endl;

  return 0;
}

#endif