mbtGenericTrackingDepth.cpp

/*
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2025 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 https://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:
 * Example of tracking with vpGenericTracker on Castel.
 */

 
#include <cstdlib>
#include <iostream>
#include <visp3/core/vpConfig.h>
 
#if (defined(VISP_HAVE_MODULE_MBT) && defined(VISP_HAVE_DISPLAY)) &&                                                   \
    (defined(VISP_HAVE_LAPACK) || defined(VISP_HAVE_EIGEN3) || defined(VISP_HAVE_OPENCV))
 
#include <visp3/core/vpDebug.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpMath.h>
#include <visp3/gui/vpDisplayD3D.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/vpMbGenericTracker.h>
 
#define GETOPTARGS "x:X:m:M:i:n:dchfolwvpt:T:e:"
 
#define USE_SMALL_DATASET 1 // small depth dataset in ViSP-images
 
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
 
namespace
{
void usage(const char *name, const char *badparam)
{
  fprintf(stdout, "\n\
  Example of tracking with vpGenericTracker.\n\
  \n\
  SYNOPSIS\n\
    %s [-i <test image path>] [-x <config file>] [-X <config file depth>]\n\
    [-m <model name>] [-M <model name depth>] [-n <initialisation file base name>]\n\
    [-f] [-c] [-d] [-h] [-o] [-w] [-l] [-v] [-p]\n\
    [-t <tracker type>] [-T <tracker type>] [-e <last frame index>]\n",
    name);
 
  fprintf(stdout, "\n\
  OPTIONS:                                               \n\
    -i <input image path>                                \n\
       Set image input path.\n\
       These images come from visp-images-x.y.z.tar.gz available \n\
       on the ViSP website.\n\
       Setting the VISP_INPUT_IMAGE_PATH environment\n\
       variable produces the same behavior than using\n\
       this option.\n\
  \n\
    -x <config file>                                     \n\
       Set the config file (the xml file) to use.\n\
       The config file is used to specify the parameters of the tracker.\n\
  \n\
    -X <config file>                                     \n\
       Set the config file (the xml file) to use for the depth sensor.\n\
       The config file is used to specify the parameters of the tracker.\n\
  \n\
    -m <model name>                                 \n\
       Specify the name of the file of the model.\n\
       The model can either be a vrml model (.wrl) or a .cao file.\n\
  \n\
    -M <model name>                                 \n\
       Specify the name of the file of the model for the depth sensor.\n\
       The model can either be a vrml model (.wrl) or a .cao file.\n\
  \n\
    -n <initialisation file base name>                                            \n\
       Base name of the initialisation file. The file will be 'base_name'.init .\n\
       This base name is also used for the optional picture specifying where to \n\
       click (a .ppm picture).\n\
  \n\
    -f \n\
       Turn off the display of the the moving edges and Klt points. \n\
  \n\
    -d \n\
       Turn off the display.\n\
  \n\
    -c\n\
       Disable the mouse click. Useful to automate the \n\
       execution of this program without human intervention.\n\
  \n\
    -o\n\
       Use Ogre3D for visibility tests\n\
  \n\
    -w\n\
       When Ogre3D is enable [-o] show Ogre3D configuration dialog that allows to set the renderer.\n\
  \n\
    -l\n\
       Use the scanline for visibility tests.\n\
  \n\
    -v\n\
       Compute covariance matrix.\n\
  \n\
    -p\n\
       Compute gradient projection error.\n\
  \n\
    -t <tracker type>\n\
       Set tracker type (<1 (Edge)>, <2 (KLT)>, <3 (both)>) for color sensor.\n\
  \n\
    -T <tracker type>\n\
       Set tracker type (<4 (Depth normal)>, <8 (Depth dense)>, <12 (both)>) for depth sensor.\n\
  \n\
    -e <last frame index>\n\
       Specify the index of the last frame. Once reached, the tracking is stopped.\n\
  \n\
    -h \n\
       Print the help.\n\n");
 
  if (badparam)
    fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}
 
bool getOptions(int argc, const char **argv, std::string &ipath, std::string &configFile, std::string &configFile_depth,
  std::string &modelFile, std::string &modelFile_depth, std::string &initFile, bool &displayFeatures,
  bool &click_allowed, bool &display, bool &useOgre, bool &showOgreConfigDialog, bool &useScanline,
  bool &computeCovariance, bool &projectionError, int &trackerType, int &tracker_type_depth,
  int &lastFrame)
{
  const char *optarg_;
  int c;
  while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg_)) > 1) {
 
    switch (c) {
    case 'i':
      ipath = optarg_;
      break;
    case 'x':
      configFile = optarg_;
      break;
    case 'X':
      configFile_depth = optarg_;
      break;
    case 'm':
      modelFile = optarg_;
      break;
    case 'M':
      modelFile_depth = optarg_;
      break;
    case 'n':
      initFile = optarg_;
      break;
    case 'f':
      displayFeatures = false;
      break;
    case 'c':
      click_allowed = false;
      break;
    case 'd':
      display = false;
      break;
    case 'o':
      useOgre = true;
      break;
    case 'l':
      useScanline = true;
      break;
    case 'w':
      showOgreConfigDialog = true;
      break;
    case 'v':
      computeCovariance = true;
      break;
    case 'p':
      projectionError = true;
      break;
    case 't':
      trackerType = atoi(optarg_);
      break;
    case 'T':
      tracker_type_depth = atoi(optarg_);
      break;
    case 'e':
      lastFrame = atoi(optarg_);
      break;
    case 'h':
      usage(argv[0], nullptr);
      return false;
 
    default:
      usage(argv[0], optarg_);
      return false;
    }
  }
 
  if ((c == 1) || (c == -1)) {
    // standalone param or error
    usage(argv[0], nullptr);
    std::cerr << "ERROR: " << std::endl;
    std::cerr << "  Bad argument " << optarg_ << std::endl << std::endl;
    return false;
  }
 
  return true;
}
 
struct vpRealsenseIntrinsics_t
{
  float ppx;       
  float ppy;       
  float fx;        
  float fy;        
  float coeffs[5]; 
};
 
void rs_deproject_pixel_to_point(float point[3], const vpRealsenseIntrinsics_t &intrin, const float pixel[2], float depth)
{
  float x = (pixel[0] - intrin.ppx) / intrin.fx;
  float y = (pixel[1] - intrin.ppy) / intrin.fy;
 
  float r2 = x * x + y * y;
  float f = 1 + intrin.coeffs[0] * r2 + intrin.coeffs[1] * r2 * r2 + intrin.coeffs[4] * r2 * r2 * r2;
  float ux = x * f + 2 * intrin.coeffs[2] * x * y + intrin.coeffs[3] * (r2 + 2 * x * x);
  float uy = y * f + 2 * intrin.coeffs[3] * x * y + intrin.coeffs[2] * (r2 + 2 * y * y);
 
  x = ux;
  y = uy;
 
  point[0] = depth * x;
  point[1] = depth * y;
  point[2] = depth;
}
 
bool read_data(unsigned int cpt, const std::string &input_directory, vpImage<unsigned char> &I,
  vpImage<uint16_t> &I_depth_raw, std::vector<vpColVector> &pointcloud, unsigned int &pointcloud_width,
  unsigned int &pointcloud_height)
{
#if defined(VISP_HAVE_DATASET)
#if VISP_HAVE_DATASET_VERSION >= 0x030600
  std::string ext("png");
#else
  std::string ext("pgm");
#endif
#else
  // We suppose that the user will download a recent dataset
  std::string ext("png");
#endif
  // Read image
  std::string filename_image = vpIoTools::formatString(input_directory + "/image_%04d." + ext, cpt);
  if (!vpIoTools::checkFilename(filename_image)) {
    std::cerr << "Cannot read: " << filename_image << std::endl;
    return false;
  }
  vpImageIo::read(I, filename_image);
  // Read raw depth
  std::string filename_depth = vpIoTools::formatString(input_directory + "/depth_image_%04d.bin", cpt);
 
  std::ifstream file_depth(filename_depth.c_str(), std::ios::in | std::ios::binary);
  if (!file_depth.is_open()) {
    return false;
  }
 
  unsigned int height = 0, width = 0;
  vpIoTools::readBinaryValueLE(file_depth, height);
  vpIoTools::readBinaryValueLE(file_depth, width);
 
  I_depth_raw.resize(height, width);
 
  uint16_t depth_value = 0;
  for (unsigned int i = 0; i < height; i++) {
    for (unsigned int j = 0; j < width; j++) {
      vpIoTools::readBinaryValueLE(file_depth, depth_value);
      I_depth_raw[i][j] = depth_value;
    }
  }
 
  // Transform pointcloud
  pointcloud_width = width;
  pointcloud_height = height;
  pointcloud.resize(static_cast<size_t>(width * height));
 
  // Only for Creative SR300
  const float depth_scale = 0.000124986647f;
  vpRealsenseIntrinsics_t depth_intrinsic;
  depth_intrinsic.ppx = 311.484558f;
  depth_intrinsic.ppy = 246.283234f;
  depth_intrinsic.fx = 476.053619f;
  depth_intrinsic.fy = 476.053497f;
  depth_intrinsic.coeffs[0] = 0.165056542f;
  depth_intrinsic.coeffs[1] = -0.0508309528f;
  depth_intrinsic.coeffs[2] = 0.00435937941f;
  depth_intrinsic.coeffs[3] = 0.00541406544f;
  depth_intrinsic.coeffs[4] = 0.250085592f;
 
  for (unsigned int i = 0; i < height; i++) {
    for (unsigned int j = 0; j < width; j++) {
      float scaled_depth = I_depth_raw[i][j] * depth_scale;
      float point[3];
      float pixel[2] = { static_cast<float>(j), static_cast<float>(i) };
      rs_deproject_pixel_to_point(point, depth_intrinsic, pixel, scaled_depth);
 
      vpColVector data_3D(3);
      data_3D[0] = point[0];
      data_3D[1] = point[1];
      data_3D[2] = point[2];
 
      pointcloud[static_cast<size_t>(i * width + j)] = data_3D;
    }
  }
 
  return true;
}
 
void loadConfiguration(vpMbTracker *const tracker,
  const std::string &
#if defined(VISP_HAVE_PUGIXML)
  configFile
#endif
  ,
  const std::string &
#if defined(VISP_HAVE_PUGIXML)
  configFile_depth
#endif
)
{
#if defined(VISP_HAVE_PUGIXML)
  // From the xml file
  dynamic_cast<vpMbGenericTracker *>(tracker)->loadConfigFile(configFile, configFile_depth);
#else
  // Edge
  vpMe me;
  me.setMaskSize(5);
  me.setMaskNumber(180);
  me.setRange(8);
  me.setLikelihoodThresholdType(vpMe::NORMALIZED_THRESHOLD);
  me.setThreshold(10);
  me.setMu1(0.5);
  me.setMu2(0.5);
  me.setSampleStep(4);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setMovingEdge(me);
 
  // Klt
#if defined(VISP_HAVE_MODULE_KLT) && defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
  vpKltOpencv klt;
  klt.setMaxFeatures(10000);
  klt.setWindowSize(5);
  klt.setQuality(0.01);
  klt.setMinDistance(5);
  klt.setHarrisFreeParameter(0.02);
  klt.setBlockSize(3);
  klt.setPyramidLevels(3);
 
  dynamic_cast<vpMbGenericTracker *>(tracker)->setKltOpencv(klt);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setKltMaskBorder(5);
#endif
 
  // Depth
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthNormalFeatureEstimationMethod(
    vpMbtFaceDepthNormal::ROBUST_FEATURE_ESTIMATION);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthNormalPclPlaneEstimationMethod(2);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthNormalPclPlaneEstimationRansacMaxIter(200);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthNormalPclPlaneEstimationRansacThreshold(0.001);
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthNormalSamplingStep(2, 2);
 
  dynamic_cast<vpMbGenericTracker *>(tracker)->setDepthDenseSamplingStep(4, 4);
 
  vpCameraParameters cam1, cam2;
  cam1.initPersProjWithoutDistortion(615.1674804688, 615.1675415039, 312.1889953613, 243.4373779297);
  cam2.initPersProjWithoutDistortion(476.0536193848, 476.0534973145, 311.4845581055, 246.2832336426);
 
  dynamic_cast<vpMbGenericTracker *>(tracker)->setCameraParameters(cam1, cam2);
 
  tracker->setAngleAppear(vpMath::rad(70));
  tracker->setAngleDisappear(vpMath::rad(80));
 
  // Specify the clipping to
  tracker->setNearClippingDistance(0.01);
  tracker->setFarClippingDistance(2.0);
  tracker->setClipping(tracker->getClipping() | vpMbtPolygon::FOV_CLIPPING);
  //   tracker->setClipping(tracker->getClipping() | vpMbtPolygon::LEFT_CLIPPING
  //   | vpMbtPolygon::RIGHT_CLIPPING | vpMbtPolygon::UP_CLIPPING |
  //   vpMbtPolygon::DOWN_CLIPPING); // Equivalent to FOV_CLIPPING
#endif
}
} // namespace
 
int main(int argc, const char **argv)
{
  try {
    std::string env_ipath;
    std::string opt_ipath;
    std::string ipath;
    std::string opt_configFile;
    std::string opt_configFile_depth;
    std::string opt_modelFile;
    std::string opt_modelFile_depth;
    std::string opt_initFile;
    std::string initFile;
    bool displayFeatures = true;
    bool opt_click_allowed = true;
    bool opt_display = true;
    bool useOgre = false;
    bool showOgreConfigDialog = false;
    bool useScanline = false;
    bool computeCovariance = false;
    bool projectionError = false;
    int trackerType_image = vpMbGenericTracker::EDGE_TRACKER;
    int trackerType_depth = vpMbGenericTracker::DEPTH_DENSE_TRACKER;
#if defined(__mips__) || defined(__mips) || defined(mips) || defined(__MIPS__)
    // To avoid Debian test timeout
    int opt_lastFrame = 5;
#else
    int opt_lastFrame = -1;
#endif
 
    // Get the visp-images-data package path or VISP_INPUT_IMAGE_PATH
    // environment variable value
    env_ipath = vpIoTools::getViSPImagesDataPath();
 
    // Set the default input path
    if (!env_ipath.empty())
      ipath = env_ipath;
 
    // Read the command line options
    if (!getOptions(argc, argv, opt_ipath, opt_configFile, opt_configFile_depth, opt_modelFile, opt_modelFile_depth,
                    opt_initFile, displayFeatures, opt_click_allowed, opt_display, useOgre, showOgreConfigDialog,
                    useScanline, computeCovariance, projectionError, trackerType_image, trackerType_depth,
                    opt_lastFrame)) {
      return EXIT_FAILURE;
    }
 
#if !(defined(VISP_HAVE_MODULE_KLT) && defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO))
    if (trackerType_image == 2 || trackerType_image == 3) { // Use vpMbGenericTracker::KLT_TRACKER
      std::cout << "KLT features cannot be used: ViSP is not built with "
        "KLT module or OpenCV imgproc and video modules are not available."
        << std::endl;
      return EXIT_SUCCESS;
    }
#endif
 
    // Test if an input path is set
    if (opt_ipath.empty() && env_ipath.empty()) {
      usage(argv[0], nullptr);
      std::cerr << std::endl << "ERROR:" << std::endl;
      std::cerr << "  Use -i <visp image path> option or set VISP_INPUT_IMAGE_PATH " << std::endl
        << "  environment variable to specify the location of the " << std::endl
        << "  image path where test images are located." << std::endl
        << std::endl;
 
      return EXIT_FAILURE;
    }
 
    // Get the option values
    ipath = vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/castel");
 
    std::string dir_path = vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth");
    if (!vpIoTools::checkDirectory(dir_path)) {
      std::cerr << "ViSP-images does not contain the folder: " << dir_path << "!" << std::endl;
      return EXIT_SUCCESS;
    }
 
    std::string configFile, configFile_depth;
    if (!opt_configFile.empty())
      configFile = opt_configFile;
    else
      configFile =
      vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau.xml");
 
    if (!opt_configFile_depth.empty())
      configFile_depth = opt_configFile_depth;
    else
      configFile_depth =
      vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau_depth.xml");
 
    std::string modelFile, modelFile_depth;
    if (!opt_modelFile.empty())
      modelFile = opt_modelFile;
    else {
#if defined(VISP_HAVE_COIN3D) && (COIN_MAJOR_VERSION == 2 || COIN_MAJOR_VERSION == 3 || COIN_MAJOR_VERSION == 4)
      modelFile =
        vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau_gantry.wrl");
#else
      modelFile = vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau.cao");
#endif
    }
 
    if (!opt_modelFile_depth.empty())
      modelFile_depth = opt_modelFile_depth;
    else
      modelFile_depth =
      vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau.cao");
 
    std::string vrml_ext = ".wrl";
    bool use_vrml =
      (modelFile.compare(modelFile.length() - vrml_ext.length(), vrml_ext.length(), vrml_ext) == 0) ||
      (modelFile_depth.compare(modelFile_depth.length() - vrml_ext.length(), vrml_ext.length(), vrml_ext) == 0);
 
    if (use_vrml) {
#if defined(VISP_HAVE_COIN3D) && (COIN_MAJOR_VERSION == 2 || COIN_MAJOR_VERSION == 3 || COIN_MAJOR_VERSION == 4)
      std::cout << "use_vrml: " << use_vrml << std::endl;
#else
      std::cerr << "Error: vrml model file is only supported if ViSP is "
        "build with Coin3D 3rd party"
        << std::endl;
      return EXIT_FAILURE;
#endif
    }
 
    if (!opt_initFile.empty())
      initFile = opt_initFile;
    else
      initFile = vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/chateau.init");
 
    vpImage<unsigned char> I, I_depth;
    vpImage<uint16_t> I_depth_raw;
    std::vector<vpColVector> pointcloud;
    unsigned int pointcloud_width, pointcloud_height;
    if (!read_data(0, ipath, I, I_depth_raw, pointcloud, pointcloud_width, pointcloud_height)) {
      std::cerr << "Cannot open sequence: " << ipath << std::endl;
      return EXIT_FAILURE;
    }
 
    vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
 
    // initialise a  display
#if defined(VISP_HAVE_X11)
    vpDisplayX display1, display2;
#elif defined(VISP_HAVE_GDI)
    vpDisplayGDI display1, display2;
#elif defined(HAVE_OPENCV_HIGHGUI)
    vpDisplayOpenCV display1, display2;
#elif defined(VISP_HAVE_D3D9)
    vpDisplayD3D display1, display2;
#elif defined(VISP_HAVE_GTK)
    vpDisplayGTK display1, display2;
#else
    opt_display = false;
#endif
    if (opt_display) {
#if defined(VISP_HAVE_DISPLAY)
      display1.setDownScalingFactor(vpDisplay::SCALE_AUTO);
      display2.setDownScalingFactor(vpDisplay::SCALE_AUTO);
      display1.init(I, 100, 100, "Test tracking (Left)");
      display2.init(I_depth, static_cast<int>(I.getWidth() / vpDisplay::getDownScalingFactor(I)) + 110, 100,
        "Test tracking (Right)");
#endif
      vpDisplay::display(I);
      vpDisplay::display(I_depth);
      vpDisplay::flush(I);
      vpDisplay::flush(I_depth);
    }
 
    std::vector<int> trackerTypes(2);
    trackerTypes[0] = trackerType_image;
    trackerTypes[1] = trackerType_depth;
    // Object pointer to check that inheritance is ok
    vpMbTracker *tracker = new vpMbGenericTracker(trackerTypes);
    vpHomogeneousMatrix c1Mo, c2Mo;
    vpCameraParameters cam1, cam2;
 
    loadConfiguration(tracker, configFile, configFile_depth);
 
    vpHomogeneousMatrix depth_M_color;
    std::string depth_M_color_filename =
      vpIoTools::createFilePath(!opt_ipath.empty() ? opt_ipath : env_ipath, "mbt-depth/castel/depth_M_color.txt");
    {
      std::ifstream depth_M_color_file(depth_M_color_filename.c_str());
      depth_M_color.load(depth_M_color_file);
      std::map<std::string, vpHomogeneousMatrix> mapOfCameraTransformationMatrices;
      mapOfCameraTransformationMatrices["Camera2"] = depth_M_color;
      dynamic_cast<vpMbGenericTracker *>(tracker)->setCameraTransformationMatrix(mapOfCameraTransformationMatrices);
    }
 
    // Display the moving edges, and the Klt points
    tracker->setDisplayFeatures(displayFeatures);
 
    // Tells if the tracker has to use Ogre3D for visibility tests
    tracker->setOgreVisibilityTest(useOgre);
    if (useOgre)
      tracker->setOgreShowConfigDialog(showOgreConfigDialog);
 
    // Tells if the tracker has to use the scanline visibility tests
    tracker->setScanLineVisibilityTest(useScanline);
 
    // Tells if the tracker has to compute the covariance matrix
    tracker->setCovarianceComputation(computeCovariance);
 
    // Tells if the tracker has to compute the projection error
    tracker->setProjectionErrorComputation(projectionError);
 
    // Retrieve the camera parameters from the tracker
    dynamic_cast<vpMbGenericTracker *>(tracker)->getCameraParameters(cam1, cam2);
 
    // Loop to position the cube
    if (opt_display && opt_click_allowed) {
      while (!vpDisplay::getClick(I, false)) {
        vpDisplay::display(I);
        vpDisplay::displayText(I, 15, 10, "click after positioning the object", vpColor::red);
        vpDisplay::flush(I);
      }
    }
 
    // Load the 3D model (either a vrml file or a .cao file)
    dynamic_cast<vpMbGenericTracker *>(tracker)->loadModel(modelFile, modelFile_depth);
 
    if (opt_display && opt_click_allowed) {
      std::map<std::string, const vpImage<unsigned char> *> mapOfImages;
      mapOfImages["Camera1"] = &I;
      mapOfImages["Camera2"] = &I_depth;
      std::map<std::string, std::string> mapOfInitFiles;
      mapOfInitFiles["Camera1"] = initFile;
 
      // Initialise the tracker by clicking on the image
      dynamic_cast<vpMbGenericTracker *>(tracker)->initClick(mapOfImages, mapOfInitFiles, true);
      dynamic_cast<vpMbGenericTracker *>(tracker)->getPose(c1Mo, c2Mo);
      // display the 3D model at the given pose
      dynamic_cast<vpMbGenericTracker *>(tracker)->display(I, I_depth, c1Mo, c2Mo, cam1, cam2, vpColor::red);
    }
    else {
      vpHomogeneousMatrix c1Moi(0.06846423368, 0.09062570884, 0.3401096693, -2.671882598, 0.1174275908, -0.6011935263);
      vpHomogeneousMatrix c2Moi(0.04431452054, 0.09294637757, 0.3357760654, -2.677922443, 0.121297639, -0.6028463357);
      dynamic_cast<vpMbGenericTracker *>(tracker)->initFromPose(I, I_depth, c1Moi, c2Moi);
    }
 
    // track the model
    {
      std::map<std::string, const vpImage<unsigned char> *> mapOfImages;
      mapOfImages["Camera1"] = &I;
      std::map<std::string, const std::vector<vpColVector> *> mapOfPointclouds;
      mapOfPointclouds["Camera2"] = &pointcloud;
      std::map<std::string, unsigned int> mapOfWidths, mapOfHeights;
      mapOfWidths["Camera2"] = pointcloud_width;
      mapOfHeights["Camera2"] = pointcloud_height;
 
      dynamic_cast<vpMbGenericTracker *>(tracker)->track(mapOfImages, mapOfPointclouds, mapOfWidths, mapOfHeights);
    }
    dynamic_cast<vpMbGenericTracker *>(tracker)->getPose(c1Mo, c2Mo);
 
    if (opt_display) {
      vpDisplay::flush(I);
      vpDisplay::flush(I_depth);
    }
 
    bool quit = false, click = false;
    unsigned int frame_index = 0;
    std::vector<double> time_vec;
    while (read_data(frame_index, ipath, I, I_depth_raw, pointcloud, pointcloud_width, pointcloud_height) && !quit &&
      (opt_lastFrame > 0 ? static_cast<int>(frame_index) <= opt_lastFrame : true)) {
      vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
 
      if (opt_display) {
        vpDisplay::display(I);
        vpDisplay::display(I_depth);
 
        std::stringstream ss;
        ss << "Num frame: " << frame_index;
        vpDisplay::displayText(I, 40, 20, ss.str(), vpColor::red);
      }
 
      // Test reset the tracker
      if (frame_index == 10) {
        std::cout << "----------Test reset tracker----------" << std::endl;
        if (opt_display) {
          vpDisplay::display(I);
          vpDisplay::display(I_depth);
        }
 
        tracker->resetTracker();
 
        loadConfiguration(tracker, configFile, configFile_depth);
        dynamic_cast<vpMbGenericTracker *>(tracker)->loadModel(modelFile, modelFile_depth);
        dynamic_cast<vpMbGenericTracker *>(tracker)->setCameraParameters(cam1, cam2);
        tracker->setOgreVisibilityTest(useOgre);
        tracker->setScanLineVisibilityTest(useScanline);
        tracker->setCovarianceComputation(computeCovariance);
        tracker->setProjectionErrorComputation(projectionError);
        dynamic_cast<vpMbGenericTracker *>(tracker)->initFromPose(I, I_depth, c1Mo, c2Mo);
      }
 
      // Test to set an initial pose
#if USE_SMALL_DATASET
      if (frame_index == 20) {
        c1Mo.buildFrom(0.07734634051, 0.08993639906, 0.342344402, -2.708409543, 0.0669276477, -0.3798958303);
        c2Mo.buildFrom(0.05319520317, 0.09223511976, 0.3380095812, -2.71438192, 0.07141055397, -0.3810081638);
#else
      if (frame_index == 50) {
        c1Mo.buildFrom(0.09280663035, 0.09277655672, 0.330415149, -2.724431817, 0.0293932671, 0.02027966377);
        c2Mo.buildFrom(0.06865933578, 0.09494713501, 0.3260555142, -2.730027451, 0.03498390135, 0.01989831338);
#endif
        std::cout << "Test set pose" << std::endl;
        dynamic_cast<vpMbGenericTracker *>(tracker)->setPose(I, I_depth, c1Mo, c2Mo);
      }
 
#if USE_SMALL_DATASET
      // track the object: stop tracking from frame 15 to 20
      if (frame_index < 15 || frame_index >= 20) {
#else
      // track the object: stop tracking from frame 30 to 50
      if (frame_index < 30 || frame_index >= 50) {
#endif
        std::map<std::string, const vpImage<unsigned char> *> mapOfImages;
        mapOfImages["Camera1"] = &I;
        std::map<std::string, const std::vector<vpColVector> *> mapOfPointclouds;
        mapOfPointclouds["Camera2"] = &pointcloud;
        std::map<std::string, unsigned int> mapOfWidths, mapOfHeights;
        mapOfWidths["Camera2"] = pointcloud_width;
        mapOfHeights["Camera2"] = pointcloud_height;
 
        double t = vpTime::measureTimeMs();
        dynamic_cast<vpMbGenericTracker *>(tracker)->track(mapOfImages, mapOfPointclouds, mapOfWidths, mapOfHeights);
        t = vpTime::measureTimeMs() - t;
        time_vec.push_back(t);
 
        dynamic_cast<vpMbGenericTracker *>(tracker)->getPose(c1Mo, c2Mo);
 
        if (opt_display) {
          // display the 3D model
          dynamic_cast<vpMbGenericTracker *>(tracker)->display(I, I_depth, c1Mo, c2Mo, cam1, cam2, vpColor::darkRed);
          // display the frame
          vpDisplay::displayFrame(I, c1Mo, cam1, 0.05);
          vpDisplay::displayFrame(I_depth, c2Mo, cam2, 0.05);
          // computation time
          std::stringstream ss;
          ss << "Computation time: " << t << " ms";
          vpDisplay::displayText(I, 60, 20, ss.str(), vpColor::red);
          // nb features
          ss.str("");
          ss << "nb features: " << tracker->getError().getRows();
          vpDisplay::displayText(I_depth, 80, 20, ss.str(), vpColor::red);
          {
            std::stringstream ss;
            ss << "Features: edges " << dynamic_cast<vpMbGenericTracker *>(tracker)->getNbFeaturesEdge() << ", klt "
              << dynamic_cast<vpMbGenericTracker *>(tracker)->getNbFeaturesKlt() << ", depth "
              << dynamic_cast<vpMbGenericTracker *>(tracker)->getNbFeaturesDepthDense();
            vpDisplay::displayText(I, I.getHeight() - 30, 20, ss.str(), vpColor::red);
          }
        }
      }
 
      if (opt_click_allowed && opt_display) {
        vpDisplay::displayText(I, 10, 10, "Click to quit", vpColor::red);
        vpMouseButton::vpMouseButtonType button;
        if (vpDisplay::getClick(I, button, click)) {
          switch (button) {
          case vpMouseButton::button1:
            quit = !click;
            break;
 
          case vpMouseButton::button3:
            click = !click;
            break;
 
          default:
            break;
          }
        }
      }
 
      if (computeCovariance) {
        std::cout << "Covariance matrix: \n" << tracker->getCovarianceMatrix() << std::endl << std::endl;
      }
 
      if (projectionError) {
        std::cout << "Projection error: " << tracker->getProjectionError() << std::endl << std::endl;
      }
 
      if (opt_display) {
        vpDisplay::flush(I);
        vpDisplay::flush(I_depth);
      }
 
      frame_index++;
      }
 
    std::cout << "\nFinal poses, c1Mo:\n" << c1Mo << "\nc2Mo:\n" << c2Mo << std::endl;
    std::cout << "\nComputation time, Mean: " << vpMath::getMean(time_vec)
      << " ms ; Median: " << vpMath::getMedian(time_vec) << " ms ; Std: " << vpMath::getStdev(time_vec) << " ms"
      << std::endl;
 
    if (opt_click_allowed && !quit) {
      vpDisplay::getClick(I);
    }
 
    delete tracker;
    tracker = nullptr;
 
    return EXIT_SUCCESS;
      }
  catch (const vpException &e) {
    std::cout << "Catch an exception: " << e << std::endl;
    return EXIT_FAILURE;
  }
    }
 
#elif !(defined(VISP_HAVE_MODULE_MBT) && defined(VISP_HAVE_DISPLAY))
int main()
{
  std::cout << "Cannot run this example: visp_mbt, visp_gui modules are required." << std::endl;
  return EXIT_SUCCESS;
}
#else
int main()
{
  std::cout << "Cannot run this example: install Lapack, Eigen3 or OpenCV" << std::endl;
  return EXIT_SUCCESS;
}
#endif