void PeopleDetector::addNewCloudToViewer(PointCloudT::Ptr cloud, pcl::visualization::PCLVisualizer::Ptr viewer_obj)
{
        viewer_obj->removeAllPointClouds();
        viewer_obj->removeAllShapes();
        pcl::visualization::PointCloudColorHandlerRGBField<PointT> rgb(cloud);
        viewer_obj->addPointCloud<PointT> (cloud, rgb, "input_cloud");
}
Exemplo n.º 2
0
void callback(const sensor_msgs::PointCloud2 &pc) {

  double t1, t2, avg_t;

  ROS_INFO("Received point cloud! Applying method %d",method_id);

  pcl::PointCloud<PointT>::Ptr scene_pc(new pcl::PointCloud<PointT>());

  pcl::PCLPointCloud2 pcl_pc;
  pcl_conversions::toPCL(pc, pcl_pc);

  pcl::fromPCLPointCloud2(pcl_pc, *scene_pc);

  if( scene_pc->empty() == true ) {
    ROS_ERROR("Recieved empty point cloud message!");
    return;
  }

  pcl::PointCloud<myPointXYZ>::Ptr scene_xyz(new pcl::PointCloud<myPointXYZ>());
  pcl::copyPointCloud(*scene_pc, *scene_xyz);

  if( view_flag == true )
  {
    viewer->removeAllPointClouds();
    viewer->addPointCloud(scene_xyz, "whole_scene");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_COLOR, 0.5, 0.5, 0.5, "whole_scene");
  }
  std::vector<poseT> all_poses;
  std::vector<poseT> link_poses, node_poses;

  std::cout << " ... processing:" << std::endl;
  switch(method_id)
  {
    case 0:
      t1 = get_wall_time();
      objrec->StandardRecognize(scene_xyz, all_poses);
      t2 = get_wall_time();
      break;
    case 1:
      {
        t1 = get_wall_time();
        int pose_num = 0;
        int iter = 0;
        pcl::PointCloud<myPointXYZ>::Ptr filtered_cloud(new pcl::PointCloud<myPointXYZ>());
        filtered_cloud = scene_xyz;
        while(true)
        {
          //std::cerr<< "Recognizing Attempt --- " << iter << std::endl;
          objrec->StandardRecognize(filtered_cloud, all_poses);
          if( all_poses.size() <= pose_num )
            break;
          else
            pose_num = all_poses.size();

          pcl::PointCloud<myPointXYZ>::Ptr model_cloud = objrec->FillModelCloud(all_poses);
          filtered_cloud = FilterCloud(filtered_cloud, model_cloud);

          iter++;
        }
        t2 = get_wall_time();
        //std::cerr<< "Recognizing Done!!!" << std::endl;
        break;
      }
    case 2:
      {
        //std::vector<poseT> tmp_poses;
        t1 = get_wall_time();
        objrec->GreedyRecognize(scene_xyz, all_poses);
        t2 = get_wall_time();
        //all_poses = RefinePoses(scene_xyz, mesh_set, tmp_poses);
        break;
      }
    case 3:
      {
        pcl::PointCloud<myPointXYZ>::Ptr link_cloud(new pcl::PointCloud<myPointXYZ>());
        pcl::PointCloud<myPointXYZ>::Ptr node_cloud(new pcl::PointCloud<myPointXYZ>());
        splitCloud(scene_pc, link_cloud, node_cloud);

        t1 = get_wall_time();
        std::cout << " ... starting at " << t1 << std::endl;
        //std::vector<poseT> link_poses, node_poses;
        linkrec->StandardRecognize(link_cloud, link_poses);
        noderec->StandardRecognize(node_cloud, node_poses);
        t2 = get_wall_time();
        std::cout << " ... done at " << t2 << std::endl;

        all_poses.insert(all_poses.end(), link_poses.begin(), link_poses.end());
        all_poses.insert(all_poses.end(), node_poses.begin(), node_poses.end());
        break;
      }
    case 4:
      {
        pcl::PointCloud<myPointXYZ>::Ptr link_cloud(new pcl::PointCloud<myPointXYZ>());
        pcl::PointCloud<myPointXYZ>::Ptr node_cloud(new pcl::PointCloud<myPointXYZ>());
        splitCloud(scene_pc, link_cloud, node_cloud);

        t1 = get_wall_time();
        std::cout << " ... starting at " << t1 << std::endl;
        int pose_num = 0;
        std::vector<poseT> tmp_poses;
        int iter = 0;
        while(true)
        {
          //std::cerr<< "Recognizing Attempt --- " << iter << std::endl;
          list<AcceptedHypothesis> acc_hypotheses;

          
          std::cout << " ... generating" << std::endl;
          linkrec->genHypotheses(link_cloud, acc_hypotheses);
          noderec->genHypotheses(node_cloud, acc_hypotheses);

          std::cout << " ... merging" << std::endl;
          linkrec->mergeHypotheses(scene_xyz, acc_hypotheses, tmp_poses);

          if( tmp_poses.size() <= pose_num ) {
            break;
          } else {
            pose_num = tmp_poses.size();
            std::cout << "Number of merged hypotheses: " << tmp_poses.size() << std::endl;
          }

          pcl::PointCloud<myPointXYZ>::Ptr link_model = linkrec->FillModelCloud(tmp_poses);
          pcl::PointCloud<myPointXYZ>::Ptr node_model = noderec->FillModelCloud(tmp_poses);

          std::cout << " ... filtering" << std::endl;
          if( link_model->empty() == false ) {
            link_cloud = FilterCloud(link_cloud, link_model);
          }
          if( node_model->empty() == false) {
            node_cloud = FilterCloud(node_cloud, node_model);
          }
          iter++;
        }
        t2 = get_wall_time();
        std::cout << " ... done at " << t2 << std::endl;
        //std::cerr<< "Recognizing Done!!!" << std::endl;
        all_poses = RefinePoses(scene_xyz, mesh_set, tmp_poses);
        break;
      }
    case 5:
      {
        pcl::PointCloud<myPointXYZ>::Ptr link_cloud(new pcl::PointCloud<myPointXYZ>());
        pcl::PointCloud<myPointXYZ>::Ptr node_cloud(new pcl::PointCloud<myPointXYZ>());
        splitCloud(scene_pc, link_cloud, node_cloud);

        t1 = get_wall_time();
        linkrec->GreedyRecognize(link_cloud, link_poses);
        noderec->GreedyRecognize(node_cloud, node_poses);
        t2 = get_wall_time();

        std::vector<poseT> tmp_poses;
        tmp_poses.insert(tmp_poses.end(), link_poses.begin(), link_poses.end());
        tmp_poses.insert(tmp_poses.end(), node_poses.begin(), node_poses.end());

        //all_poses = tmp_poses;
        all_poses = RefinePoses(scene_xyz, mesh_set, tmp_poses);
        break;
      }
    default:
      ROS_ERROR("Code %d not recognized!",method_id);
      return;
  }

  if( view_flag == true )
  {
    switch(method_id)
    {
      case 0:
      case 1:
      case 2:
        objrec->visualize(viewer, all_poses);
        break;
      case 3:
      case 4:
      case 5:
        linkrec->visualize(viewer, all_poses);
        noderec->visualize(viewer, all_poses);
        break;
    }
    viewer->spin();
  }

  geometry_msgs::PoseArray links;
  geometry_msgs::PoseArray nodes;
  links.header.frame_id = pc.header.frame_id;
  nodes.header.frame_id = pc.header.frame_id;

  // publish poses as TF
  if (method_id < 3) {
    for (poseT &p: all_poses) {
      geometry_msgs::Pose pose;
      pose.position.x = p.shift[0];
      pose.position.y = p.shift[1];
      pose.position.z = p.shift[2];
      pose.orientation.x = p.rotation.x();
      pose.orientation.y = p.rotation.y();
      pose.orientation.z = p.rotation.z();
      pose.orientation.w = p.rotation.w();
      links.poses.push_back(pose);
    }
    pub_link.publish(links);
  } else {
    for (poseT &p: all_poses) {
      geometry_msgs::Pose pose;
      pose.position.x = p.shift[0];
      pose.position.y = p.shift[1];
      pose.position.z = p.shift[2];
      pose.orientation.x = p.rotation.x();
      pose.orientation.y = p.rotation.y();
      pose.orientation.z = p.rotation.z();
      pose.orientation.w = p.rotation.w();
      links.poses.push_back(pose);
    }
    for (poseT &p: all_poses) {
      geometry_msgs::Pose pose;
      pose.position.x = p.shift[0];
      pose.position.y = p.shift[1];
      pose.position.z = p.shift[2];
      pose.orientation.x = p.rotation.x();
      pose.orientation.y = p.rotation.y();
      pose.orientation.z = p.rotation.z();
      pose.orientation.w = p.rotation.w();
      nodes.poses.push_back(pose);
    }
    pub_link.publish(links);
    pub_link.publish(nodes);
  }

  std::cout << "Time 1 = " << t1 << std::endl;
  std::cout << "Time 2 = " << t2 << std::endl;
  ROS_INFO("... done.");

}