tutorial-mb-generic-tracker-rgbd.cpp

#include <iostream>
 
#include <visp3/core/vpDisplay.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/mbt/vpMbGenericTracker.h>
 
#if defined(VISP_HAVE_PCL)
#include <pcl/common/common.h>
#include <pcl/io/pcd_io.h>
 
namespace
{
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<vpRGBa> &I_color,
               vpImage<uint16_t> &I_depth_raw, pcl::PointCloud<pcl::PointXYZ>::Ptr &pointcloud)
{
  char buffer[FILENAME_MAX];
  // Read color
  std::stringstream ss;
  ss << input_directory << "/color_image_%04d.jpg";
  snprintf(buffer, FILENAME_MAX, ss.str().c_str(), cpt);
  std::string filename_color = buffer;
 
  if (!vpIoTools::checkFilename(filename_color)) {
    std::cerr << "Cannot read: " << filename_color << std::endl;
    return false;
  }
  vpImageIo::read(I_color, filename_color);
 
  // Read raw depth
  ss.str("");
  ss << input_directory << "/depth_image_%04d.bin";
  snprintf(buffer, FILENAME_MAX, ss.str().c_str(), cpt);
  std::string filename_depth = buffer;
 
  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((size_t)width * height);
 
  // Only for Creative SR300
  const float depth_scale = 0.00100000005f;
  vpRealsenseIntrinsics_t depth_intrinsic;
  depth_intrinsic.ppx = 320.503509521484f;
  depth_intrinsic.ppy = 235.602951049805f;
  depth_intrinsic.fx = 383.970001220703f;
  depth_intrinsic.fy = 383.970001220703f;
  depth_intrinsic.coeffs[0] = 0.0f;
  depth_intrinsic.coeffs[1] = 0.0f;
  depth_intrinsic.coeffs[2] = 0.0f;
  depth_intrinsic.coeffs[3] = 0.0f;
  depth_intrinsic.coeffs[4] = 0.0f;
 
  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] = { (float)j, (float)i };
      rs_deproject_pixel_to_point(point, depth_intrinsic, pixel, scaled_depth);
      pointcloud->points[(size_t)(i * width + j)].x = point[0];
      pointcloud->points[(size_t)(i * width + j)].y = point[1];
      pointcloud->points[(size_t)(i * width + j)].z = point[2];
    }
  }
 
  return true;
}
} // namespace
 
int main(int argc, char *argv[])
{
  std::string input_directory = "data"; // location of the data (images, depth_map, point_cloud)
  std::string config_color = "model/cube/cube.xml", config_depth = "model/cube/cube_depth.xml";
  std::string model_color = "model/cube/cube.cao", model_depth = "model/cube/cube.cao";
  std::string init_file = "model/cube/cube.init";
  unsigned int frame_cpt = 0;
  bool disable_depth = false;
 
  for (int i = 1; i < argc; i++) {
    if (std::string(argv[i]) == "--input_directory" && i + 1 < argc) {
      input_directory = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--config_color" && i + 1 < argc) {
      config_color = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--config_depth" && i + 1 < argc) {
      config_depth = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--model_color" && i + 1 < argc) {
      model_color = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--model_depth" && i + 1 < argc) {
      model_depth = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--init_file" && i + 1 < argc) {
      init_file = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--disable_depth") {
      disable_depth = true;
    }
    else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
      std::cout << "Usage: \n"
        << argv[0]
        << " --input_directory <data directory> --config_color <object.xml> --config_depth <object.xml>"
        " --model_color <object.cao> --model_depth <object.cao> --init_file <object.init> --disable_depth"
        << std::endl;
      std::cout
        << "\nExample:\n"
        << argv[0]
        << " --config_color model/cube/cube.xml --config_depth model/cube/cube.xml"
        " --model_color model/cube/cube.cao --model_depth model/cube/cube.cao --init_file model/cube/cube.init\n"
        << std::endl;
      return EXIT_SUCCESS;
    }
  }
 
  std::cout << "Tracked features: " << std::endl;
#if defined(VISP_HAVE_OPENCV)
  std::cout << "  Use edges   : 1" << std::endl;
#if defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
  std::cout << "  Use klt     : 1" << std::endl;
#else
  std::cout << "  Use klt     : 0" << std::endl;
#endif
  std::cout << "  Use depth   : " << !disable_depth << std::endl;
#else
  std::cout << "  Use edges   : 1" << std::endl;
  std::cout << "  Use klt     : 0" << std::endl;
  std::cout << "  Use depth   : 0" << std::endl;
#endif
  std::cout << "Config files: " << std::endl;
  std::cout << "  Input directory: "
    << "\"" << input_directory << "\"" << std::endl;
  std::cout << "  Config color: "
    << "\"" << config_color << "\"" << std::endl;
  std::cout << "  Config depth: "
    << "\"" << config_depth << "\"" << std::endl;
  std::cout << "  Model color : "
    << "\"" << model_color << "\"" << std::endl;
  std::cout << "  Model depth : "
    << "\"" << model_depth << "\"" << std::endl;
  std::cout << "  Init file   : "
    << "\"" << init_file << "\"" << std::endl;
 
  vpImage<vpRGBa> I_color;
  vpImage<unsigned char> I_gray, I_depth;
  vpImage<uint16_t> I_depth_raw;
  pcl::PointCloud<pcl::PointXYZ>::Ptr pointcloud(new pcl::PointCloud<pcl::PointXYZ>());
  vpCameraParameters cam_color, cam_depth;
 
  read_data(frame_cpt, input_directory, I_color, I_depth_raw, pointcloud);
  vpImageConvert::convert(I_color, I_gray);
  vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
 
#if defined(VISP_HAVE_X11)
  vpDisplayX d1, d2;
#elif defined(VISP_HAVE_GDI)
  vpDisplayGDI d1, d2;
#endif
 
#if defined(VISP_HAVE_X11) || defined(VISP_HAVE_GDI)
  unsigned int _posx = 100, _posy = 50, _posdx = 10;
  d1.init(I_gray, _posx, _posy, "Color stream");
  d2.init(I_depth, _posx + I_gray.getWidth() + _posdx, _posy, "Depth stream");
#endif
 
  vpDisplay::display(I_gray);
  vpDisplay::display(I_depth);
  vpDisplay::flush(I_gray);
  vpDisplay::flush(I_depth);
 
  std::vector<int> trackerTypes;
#if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
  trackerTypes.push_back(vpMbGenericTracker::EDGE_TRACKER | vpMbGenericTracker::KLT_TRACKER);
#else
  trackerTypes.push_back(vpMbGenericTracker::EDGE_TRACKER);
#endif
  trackerTypes.push_back(vpMbGenericTracker::DEPTH_DENSE_TRACKER);
  vpMbGenericTracker tracker(trackerTypes);
#if defined(VISP_HAVE_PUGIXML)
  tracker.loadConfigFile(config_color, config_depth);
#else
  {
    vpCameraParameters cam_color, cam_depth;
    cam_color.initPersProjWithoutDistortion(614.9, 614.9, 320.2, 241.5);
    cam_depth.initPersProjWithoutDistortion(384.0, 384.0, 320.5, 235.6);
    tracker.setCameraParameters(cam_color, cam_depth);
  }
 
  // Edge
  vpMe me;
  me.setMaskSize(5);
  me.setMaskNumber(180);
  me.setRange(7);
  me.setLikelihoodThresholdType(vpMe::NORMALIZED_THRESHOLD);
  me.setThreshold(10);
  me.setMu1(0.5);
  me.setMu2(0.5);
  me.setSampleStep(4);
  tracker.setMovingEdge(me);
 
  // Klt
#if defined(VISP_HAVE_MODULE_KLT) && defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
  vpKltOpencv klt;
  tracker.setKltMaskBorder(5);
  klt.setMaxFeatures(300);
  klt.setWindowSize(5);
  klt.setQuality(0.01);
  klt.setMinDistance(5);
  klt.setHarrisFreeParameter(0.01);
  klt.setBlockSize(3);
  klt.setPyramidLevels(3);
 
  tracker.setKltOpencv(klt);
#endif
 
  // Depth
  tracker.setDepthNormalFeatureEstimationMethod(vpMbtFaceDepthNormal::ROBUST_FEATURE_ESTIMATION);
  tracker.setDepthNormalPclPlaneEstimationMethod(2);
  tracker.setDepthNormalPclPlaneEstimationRansacMaxIter(200);
  tracker.setDepthNormalPclPlaneEstimationRansacThreshold(0.001);
  tracker.setDepthNormalSamplingStep(2, 2);
 
  tracker.setDepthDenseSamplingStep(4, 4);
 
  tracker.setAngleAppear(vpMath::rad(80.0));
  tracker.setAngleDisappear(vpMath::rad(85.0));
  tracker.setNearClippingDistance(0.001);
  tracker.setFarClippingDistance(5.0);
  tracker.setClipping(tracker.getClipping() | vpMbtPolygon::FOV_CLIPPING);
#endif
  tracker.loadModel(model_color, model_depth);
 
  tracker.getCameraParameters(cam_color, cam_depth);
 
  std::cout << "Camera parameters for color camera (from XML file): " << cam_color << std::endl;
  std::cout << "Camera parameters for depth camera (from XML file): " << cam_depth << std::endl;
 
  tracker.setDisplayFeatures(true);
 
  vpHomogeneousMatrix depth_M_color;
  {
    std::ifstream file((std::string(input_directory + "/depth_M_color.txt")).c_str());
    depth_M_color.load(file);
    file.close();
  }
  std::map<std::string, vpHomogeneousMatrix> mapOfCameraTransformations;
  mapOfCameraTransformations["Camera1"] = vpHomogeneousMatrix();
  mapOfCameraTransformations["Camera2"] = depth_M_color;
  tracker.setCameraTransformationMatrix(mapOfCameraTransformations);
  std::cout << "depth_M_color: \n" << depth_M_color << std::endl;
 
  std::map<std::string, const vpImage<unsigned char> *> mapOfImages;
  mapOfImages["Camera1"] = &I_gray;
  mapOfImages["Camera2"] = &I_depth;
 
  std::map<std::string, std::string> mapOfInitFiles;
  mapOfInitFiles["Camera1"] = init_file;
  tracker.initClick(mapOfImages, mapOfInitFiles, true);
 
  mapOfImages.clear();
  pcl::PointCloud<pcl::PointXYZ>::Ptr empty_pointcloud(new pcl::PointCloud<pcl::PointXYZ>);
  std::vector<double> times_vec;
 
  try {
    bool quit = false;
    while (!quit) {
      double t = vpTime::measureTimeMs();
      quit = !read_data(frame_cpt, input_directory, I_color, I_depth_raw, pointcloud);
      vpImageConvert::convert(I_color, I_gray);
      vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
 
      vpDisplay::display(I_gray);
      vpDisplay::display(I_depth);
 
      mapOfImages["Camera1"] = &I_gray;
      std::map<std::string, pcl::PointCloud<pcl::PointXYZ>::ConstPtr> mapOfPointclouds;
      if (disable_depth)
        mapOfPointclouds["Camera2"] = empty_pointcloud;
      else
        mapOfPointclouds["Camera2"] = pointcloud;
 
      tracker.track(mapOfImages, mapOfPointclouds);
 
      vpHomogeneousMatrix cMo = tracker.getPose();
 
      std::cout << "iter: " << frame_cpt << " cMo:\n" << cMo << std::endl;
 
      tracker.display(I_gray, I_depth, cMo, depth_M_color * cMo, cam_color, cam_depth, vpColor::red, 3);
      vpDisplay::displayFrame(I_gray, cMo, cam_color, 0.05, vpColor::none, 3);
      vpDisplay::displayFrame(I_depth, depth_M_color * cMo, cam_depth, 0.05, vpColor::none, 3);
 
      t = vpTime::measureTimeMs() - t;
      times_vec.push_back(t);
 
      std::stringstream ss;
      ss << "Computation time: " << t << " ms";
      vpDisplay::displayText(I_gray, 20, 20, ss.str(), vpColor::red);
      {
        std::stringstream ss;
        ss << "Nb features: " << tracker.getError().size();
        vpDisplay::displayText(I_gray, I_gray.getHeight() - 50, 20, ss.str(), vpColor::red);
      }
      {
        std::stringstream ss;
        ss << "Features: edges " << tracker.getNbFeaturesEdge() << ", klt " << tracker.getNbFeaturesKlt() << ", depth "
          << tracker.getNbFeaturesDepthDense();
        vpDisplay::displayText(I_gray, I_gray.getHeight() - 30, 20, ss.str(), vpColor::red);
      }
 
      vpDisplay::flush(I_gray);
      vpDisplay::flush(I_depth);
 
      vpMouseButton::vpMouseButtonType button;
      if (vpDisplay::getClick(I_gray, button, false)) {
        quit = true;
      }
 
      frame_cpt++;
    }
  }
  catch (const vpException &e) {
    std::cout << "Catch exception: " << e.getStringMessage() << std::endl;
  }
 
  std::cout << "\nProcessing time, Mean: " << vpMath::getMean(times_vec)
    << " ms ; Median: " << vpMath::getMedian(times_vec) << " ; Std: " << vpMath::getStdev(times_vec) << " ms"
    << std::endl;
 
  vpDisplay::displayText(I_gray, 60, 20, "Click to quit", vpColor::red);
  vpDisplay::flush(I_gray);
  vpDisplay::getClick(I_gray);
 
  return EXIT_SUCCESS;
}
#else
int main()
{
  std::cout << "To run this tutorial, ViSP should be build with PCL library."
    " Install libpcl, configure and build again ViSP..."
    << std::endl;
  return EXIT_SUCCESS;
}
#endif