Exemple #1
0
    std::string
    Detector::query(Scene &scene)
    {
      static int i = 0;
      if (detector_vis_) {
        std::stringstream ss;
        std::string s;
        ss << i;
        s = ss.str();
        detector_vis_->addCloud(scene.id + "_test_" + s, scene.cloud);
        i++;
      }

      cout << "detector testing " << scene.id << endl;

      Entry e;
      e.cloud = scene.cloud;
      timer.start();
      e.keypoints = computeKeypoints(e.cloud);
      timer.stop(KEYPOINTS_TESTING);
      timer.start();
      e.features = obtainFeatures(scene, e.keypoints, true);
      timer.stop(COMPUTE_FEATURES_TESTING);
      e.id = scene.id;

      StopWatch s;

      std::vector<std::string> all_ids;
      for (std::map<std::string, Entry>::iterator db_it = database_->begin(); db_it != database_->end(); db_it++)
      {
        all_ids.push_back((*db_it).first);
      }

      std::vector<std::string> current_ids = all_ids;

      for (size_t i = 0; i < proposers_.size(); i++)
      {
        Proposer::Ptr current_proposer = proposers_[i];
        current_proposer->setDatabase(database_);
        current_proposer->getProposed(num_registration, e, current_ids, current_ids);

        cout << "Proposed after stage " << i << ":";
        for (size_t i = 0; i < current_ids.size(); i++) {
          cout << current_ids[i] << " ";
        }
        cout << endl;
      }

      return current_ids[0];
    }
Exemple #2
0
// ######################################################################
VisualObject::VisualObject(const std::string& name,
                           const std::string& imagefname,
                           const Image< PixRGB<byte> >& image,
                           const Point2D<int>& salpt,
                           const std::vector<float>& preattfeatures,
                           const std::vector< rutz::shared_ptr<Keypoint> >&
                           keypoints,
                           const bool useColor,
                           bool computeKP) :

  itsName(name), itsImageFname(imagefname), itsImage(image),
  itsKeypoints(keypoints), itsSalPoint(salpt), itsFeatures(preattfeatures),
  itsIsSorted(false), itsUseColor(useColor),itsImageLoaded(true)
{
  itsObjectSize = image.getDims();
  if(computeKP) computeKeypoints();
}
Exemple #3
0
    /* Trains a single model */
    void
    Detector::train(Scene &scene)
    {
      srand(0);

      PointCloud<PointNormal>::Ptr keypoints = computeKeypoints(scene.cloud);

      if (detector_vis_) {
        detector_vis_->addCloud(scene.id + "keypoints", keypoints);
        detector_vis_->addCloud(scene.id + "original", scene.cloud);
      }
      PointCloud<Signature>::Ptr features = obtainFeatures(scene, keypoints, false, true);

      Entry e;
      e.cloud = scene.cloud;
      e.keypoints = keypoints;
      e.features = features;
      e.tree = KdTreeFLANN<Signature>::Ptr(new KdTreeFLANN<Signature>());
      e.tree->setInputCloud(e.features);
      e.id = scene.id;

      (*database_)[scene.id] = e;
    }