C++ PCLVisualizer::addLine方法代码示例

int main(int argc,char** argv){
	if (argc < 2){
		std::cout<<"Please enter <input.pcd> file"<<std::endl;
		return 0;
	}
	if (pcl::io::loadPCDFile (argv[1], *model) < 0)
	{
    	std::cout << "Error loading model cloud." << std::endl;
    	return (-1);
  	}
  	model_name = argv[1];
  	model_name = model_name.substr(0,model_name.size()-4);
  	if(pcl::console::find_switch(argc,argv,"-vfh")){
  		vfh = true;
  	}
  	else if(pcl::console::find_switch(argc,argv,"-rv")){
  		std::cout<<"performing Resultant vector feature calculation"<<std::endl;
  		rv = true;
  	}else{
  		std::cout<<"no algorithm specified using default algorithm vfh"<<std::endl;
  		vfh = true;
  	}
  	if (pcl::console::find_switch (argc, argv, "-ds"))
  	{
    	_downsample = true;
    	std::cout<<"performing downsampling on the input file"<<std::endl;
  	}
  	if (pcl::console::find_switch (argc, argv, "-sn"))
  	{
    	show_normals = true;
    	std::cout<<"showing calclated normals"<<std::endl;
  	}
  	if(_downsample){
  		rec.setInputCloud(model,_leaf_size);
  		std::cout<<"saving downsampled file to model_down.pcd"<<std::endl;
  		pcl::io::savePCDFileASCII ("model_down.pcd", *(rec.getCloud()));
  	}
  	else{
  		rec.setInputCloud(model);
  		std::cout<<"setting input model without further downsampling"<<std::endl;
  	}
  	if(pcl::console::find_switch(argc,argv,"--showaxis")){
  		_show_axis = true;
  	}
	if(vfh){
		std::cout<<"estimating VFH features"<<std::endl;
		rec.Estimate_VFH_Features();
	}
	else if(rv){
		std::cout<<"estimating features using the resultant vector"<<std::endl;
		rec.Estimate_RV_Features();
		PointNormalCloudT::Ptr cloud (new PointNormalCloudT);
		pcl::PointCloud<pcl::Normal>::Ptr norm_cloud (new pcl::PointCloud<pcl::Normal>);
		cloud = rec.getPointNormalCloud();
		norm_cloud = rec.getNormalCloud();
		pcl::PointCloud<pcl::PointXYZ>::Ptr plaincloud (new pcl::PointCloud<pcl::PointXYZ>);
		pcl::copyPointCloud(*cloud,*plaincloud);
		//pcl::PointXYZ mass_center(rec.rv_centroid.x,rec.rv_centroid.y,rec.rv_centroid.z);
		pcl::PointXYZ mass_center(0,0,0);
		pcl::PointXYZ kinectZ(0,0,-1);
		pcl::PointXYZ res_vec (rec.rv_resultant.normal_x,rec.rv_resultant.normal_y,rec.rv_resultant.normal_z);
		//pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZ> rgb(plaincloud);
        //viewer.addPointCloud<pcl::PointXYZ> (plaincloud, rgb, "model_cloud");
        
        pcl::visualization::PointCloudColorHandlerCustom<pcl::PointNormal> single_color(cloud, double(0), double(255), double(0));
        viewer.addPointCloud(cloud,single_color,"sample cloud");
        if(_show_axis){
        	viewer.addLine(mass_center,res_vec,1.0f,0.0f,0.0f,"resultantvector");
        	viewer.addLine(mass_center,kinectZ,1.0f,1.0f,0.0f,"KinectZ");
        }
        std::cout<<"resultant vector :"<<res_vec.x<<" i"<<" + "<<res_vec.y<<" j"<<" + "<<res_vec.z<<" k"<<std::endl;
        if(show_normals){
        	std::cout<<"showing 1 in "<<normalsratio<<" normals"<<std::endl;
        	viewer.addPointCloudNormals<pcl::PointNormal,pcl::Normal>(cloud, norm_cloud,normalsratio, 0.05, "normalscloud");
        }
        while(!viewer.wasStopped())
        	viewer.spinOnce();
	}
	std::cout<<"feature calculation complete"<<std::endl;
	
	ofstream myfile;
	
	if (vfh){
		std::stringstream ss;
		ss<<"vfh_"<<model_name<<".txt";
		myfile.open(ss.str().c_str());
		for(size_t k =0 ;k<308;k++){
			if(k != 307)
				myfile << rec._vfh_features->points[0].histogram[k]<<",";
			else 
				myfile << rec._vfh_features->points[0].histogram[k];
		}
		std::cout<<"wrote the histogram to file :" <<ss.str()<<std::endl;
		myfile.close();
	}else if(rv){
		std::stringstream ss;
		ss<<"rv_"<<model_name<<".txt";
		myfile.open(ss.str().c_str());
		for(int k = 0;k<181;k++){
			if(k != 180)
//.........这里部分代码省略.........

    void
    process ()
    {
      std::cout << "threshold: " << threshold_ << std::endl;
      std::cout << "depth dependent: " << (depth_dependent_ ? "true\n" : "false\n");
      unsigned char red [6] = {255,   0,   0, 255, 255,   0};
      unsigned char grn [6] = {  0, 255,   0, 255,   0, 255};
      unsigned char blu [6] = {  0,   0, 255,   0, 255, 255};

      pcl::IntegralImageNormalEstimation<PointT, pcl::Normal> ne;
      ne.setNormalEstimationMethod (ne.COVARIANCE_MATRIX);
      ne.setMaxDepthChangeFactor (0.02f);
      ne.setNormalSmoothingSize (20.0f);
      
      typename pcl::PlaneRefinementComparator<PointT, pcl::Normal, pcl::Label>::Ptr refinement_compare (new pcl::PlaneRefinementComparator<PointT, pcl::Normal, pcl::Label> ());
      refinement_compare->setDistanceThreshold (threshold_, depth_dependent_);
      
      pcl::OrganizedMultiPlaneSegmentation<PointT, pcl::Normal, pcl::Label> mps;
      mps.setMinInliers (5000);
      mps.setAngularThreshold (0.017453 * 3.0); //3 degrees
      mps.setDistanceThreshold (0.03); //2cm
      mps.setRefinementComparator (refinement_compare);
      
      std::vector<pcl::PlanarRegion<PointT>, Eigen::aligned_allocator<pcl::PlanarRegion<PointT> > > regions;
      typename pcl::PointCloud<PointT>::Ptr contour (new pcl::PointCloud<PointT>);
      typename pcl::PointCloud<PointT>::Ptr approx_contour (new pcl::PointCloud<PointT>);
      char name[1024];

      typename pcl::PointCloud<pcl::Normal>::Ptr normal_cloud (new pcl::PointCloud<pcl::Normal>);
      double normal_start = pcl::getTime ();
      ne.setInputCloud (cloud);
      ne.compute (*normal_cloud);
      double normal_end = pcl::getTime ();
      std::cout << "Normal Estimation took " << double (normal_end - normal_start) << std::endl;

      double plane_extract_start = pcl::getTime ();
      mps.setInputNormals (normal_cloud);
      mps.setInputCloud (cloud);
      if (refine_)
        mps.segmentAndRefine (regions);
      else
        mps.segment (regions);
      double plane_extract_end = pcl::getTime ();
      std::cout << "Plane extraction took " << double (plane_extract_end - plane_extract_start) << " with planar regions found: " << regions.size () << std::endl;
      std::cout << "Frame took " << double (plane_extract_end - normal_start) << std::endl;

      typename pcl::PointCloud<PointT>::Ptr cluster (new pcl::PointCloud<PointT>);

      viewer.removeAllPointClouds (0);
      viewer.removeAllShapes (0);
      pcl::visualization::PointCloudColorHandlerCustom<PointT> single_color (cloud, 0, 255, 0);
      viewer.addPointCloud<PointT> (cloud, single_color, "cloud");
      
      pcl::PlanarPolygon<PointT> approx_polygon;
      //Draw Visualization
      for (size_t i = 0; i < regions.size (); i++)
      {
        Eigen::Vector3f centroid = regions[i].getCentroid ();
        Eigen::Vector4f model = regions[i].getCoefficients ();
        pcl::PointXYZ pt1 = pcl::PointXYZ (centroid[0], centroid[1], centroid[2]);
        pcl::PointXYZ pt2 = pcl::PointXYZ (centroid[0] + (0.5f * model[0]),
                                           centroid[1] + (0.5f * model[1]),
                                           centroid[2] + (0.5f * model[2]));
        sprintf (name, "normal_%d", unsigned (i));
        viewer.addArrow (pt2, pt1, 1.0, 0, 0, std::string (name));

        contour->points = regions[i].getContour ();        
        sprintf (name, "plane_%02d", int (i));
        pcl::visualization::PointCloudColorHandlerCustom <PointT> color (contour, red[i], grn[i], blu[i]);
        viewer.addPointCloud (contour, color, name);

        pcl::approximatePolygon (regions[i], approx_polygon, threshold_, polygon_refinement_);
        approx_contour->points = approx_polygon.getContour ();
        std::cout << "polygon: " << contour->size () << " -> " << approx_contour->size () << std::endl;
        typename pcl::PointCloud<PointT>::ConstPtr approx_contour_const = approx_contour;
        
//        sprintf (name, "approx_plane_%02d", int (i));
//        viewer.addPolygon<PointT> (approx_contour_const, 0.5 * red[i], 0.5 * grn[i], 0.5 * blu[i], name);
        for (unsigned idx = 0; idx < approx_contour->points.size (); ++idx)
        {
          sprintf (name, "approx_plane_%02d_%03d", int (i), int(idx));
          viewer.addLine (approx_contour->points [idx], approx_contour->points [(idx+1)%approx_contour->points.size ()], 0.5 * red[i], 0.5 * grn[i], 0.5 * blu[i], name);
        }
      }
    }

void PbMapVisualizer::viz_cb (pcl::visualization::PCLVisualizer& viz)
{
  if (pbmap.globalMapPtr->empty())
  {
    mrpt::system::sleep(10);
    return;
  }

  // Render the data
  {
    viz.removeAllShapes();
    viz.removeAllPointClouds();

    char name[1024];

    if(graphRepresentation)
    {
//      cout << "show graphRepresentation\n";
      for(size_t i=0; i<pbmap.vPlanes.size(); i++)
      {
        pcl::PointXYZ center(2*pbmap.vPlanes[i].v3center[0], 2*pbmap.vPlanes[i].v3center[1], 2*pbmap.vPlanes[i].v3center[2]);
        double radius = 0.1 * sqrt(pbmap.vPlanes[i].areaVoxels);
//        cout << "radius " << radius << endl;
        sprintf (name, "sphere%u", static_cast<unsigned>(i));
        viz.addSphere (center, radius, ared[i%10], agrn[i%10], ablu[i%10], name);

        if( !pbmap.vPlanes[i].label.empty() )
            viz.addText3D (pbmap.vPlanes[i].label, center, 0.1, ared[i%10], agrn[i%10], ablu[i%10], pbmap.vPlanes[i].label);
        else
        {
          sprintf (name, "P%u", static_cast<unsigned>(i));
          viz.addText3D (name, center, 0.1, ared[i%10], agrn[i%10], ablu[i%10], name);
        }

        // Draw edges
//        for(set<unsigned>::iterator it = pbmap.vPlanes[i].nearbyPlanes.begin(); it != pbmap.vPlanes[i].nearbyPlanes.end(); it++)
//        {
//          if(*it > pbmap.vPlanes[i].id)
//            break;
//
//          sprintf (name, "commonObs%u_%u", static_cast<unsigned>(i), static_cast<unsigned>(*it));
//          pcl::PointXYZ center_it(2*pbmap.vPlanes[*it].v3center[0], 2*pbmap.vPlanes[*it].v3center[1], 2*pbmap.vPlanes[*it].v3center[2]);
//          viz.addLine (center, center_it, ared[i%10], agrn[i%10], ablu[i%10], name);
//        }
        for(map<unsigned,unsigned>::iterator it = pbmap.vPlanes[i].neighborPlanes.begin(); it != pbmap.vPlanes[i].neighborPlanes.end(); it++)
        {
          if(it->first > pbmap.vPlanes[i].id)
            break;

          sprintf (name, "commonObs%u_%u", static_cast<unsigned>(i), static_cast<unsigned>(it->first));
          pcl::PointXYZ center_it(2*pbmap.vPlanes[it->first].v3center[0], 2*pbmap.vPlanes[it->first].v3center[1], 2*pbmap.vPlanes[it->first].v3center[2]);
          viz.addLine (center, center_it, ared[i%10], agrn[i%10], ablu[i%10], name);

          sprintf (name, "edge%u_%u", static_cast<unsigned>(i), static_cast<unsigned>(it->first));
          char commonObs[8];
          sprintf (commonObs, "%u", it->second);
          pcl::PointXYZ half_edge( (center_it.x+center.x)/2, (center_it.y+center.y)/2, (center_it.z+center.z)/2 );
          viz.addText3D (commonObs, half_edge, 0.05, 1.0, 1.0, 1.0, name);
        }
      }
    }
    else
    { // Regular representation
      if (!viz.updatePointCloud (pbmap.globalMapPtr, "cloud"))
        viz.addPointCloud (pbmap.globalMapPtr, "cloud");

      sprintf (name, "PointCloud size %u", static_cast<unsigned>( pbmap.globalMapPtr->size() ) );
      viz.addText(name, 10, 20);

      for(size_t i=0; i<pbmap.vPlanes.size(); i++)
      {
        Plane &plane_i = pbmap.vPlanes[i];
//        sprintf (name, "normal_%u", static_cast<unsigned>(i));
        name[0] = *(mrpt::format("normal_%u", static_cast<unsigned>(i)).c_str());
        pcl::PointXYZ pt1, pt2; // Begin and end points of normal's arrow for visualization
        pt1 = pcl::PointXYZ(plane_i.v3center[0], plane_i.v3center[1], plane_i.v3center[2]);
        pt2 = pcl::PointXYZ(plane_i.v3center[0] + (0.5f * plane_i.v3normal[0]),
                            plane_i.v3center[1] + (0.5f * plane_i.v3normal[1]),
                            plane_i.v3center[2] + (0.5f * plane_i.v3normal[2]));
        viz.addArrow (pt2, pt1, ared[i%10], agrn[i%10], ablu[i%10], false, name);

        if( !plane_i.label.empty() )
          viz.addText3D (plane_i.label, pt2, 0.1, ared[i%10], agrn[i%10], ablu[i%10], plane_i.label);
        else
        {
          sprintf (name, "n%u", static_cast<unsigned>(i));
          viz.addText3D (name, pt2, 0.1, ared[i%10], agrn[i%10], ablu[i%10], name);
        }

        sprintf (name, "approx_plane_%02d", int (i));
        viz.addPolygon<PointT> (plane_i.polygonContourPtr, 0.5 * red[i%10], 0.5 * grn[i%10], 0.5 * blu[i%10], name);
      }
    }
  }
}

  void fillVisualizerWithLock(pcl::visualization::PCLVisualizer &visualizer, const bool firstRun)
  {
    const std::string &cloudname = this->name;

    if(firstRun)
    {
      visualizer.addPointCloud(cloud, cloudname);
      visualizer.setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, pointSize, cloudname);
    }
    else
    {
      visualizer.updatePointCloud(cloud, cloudname);
      visualizer.getPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, pointSize, cloudname);
      visualizer.removeAllShapes();
    }

    visualizer.addLine(pcl::PointXYZ(0, 0, 0), pcl::PointXYZ(0.2, 0, 0), 1, 0, 0, "X");
    visualizer.addLine(pcl::PointXYZ(0, 0, 0), pcl::PointXYZ(0, 0.2, 0), 0, 1, 0, "Y");
    visualizer.addLine(pcl::PointXYZ(0, 0, 0), pcl::PointXYZ(0, 0, 0.2), 0, 0, 1, "Z");

    tf::Vector3 origin = worldToCam * tf::Vector3(0, 0, 0);
    tf::Vector3 lineX = worldToCam * tf::Vector3(0.2, 0, 0);
    tf::Vector3 lineY = worldToCam * tf::Vector3(0, 0.2, 0);
    tf::Vector3 lineZ = worldToCam * tf::Vector3(0, 0, 0.2);

    pcl::PointXYZ pclOrigin(origin.x(), origin.y(), origin.z());
    pcl::PointXYZ pclLineX(lineX.x(), lineX.y(), lineX.z());
    pcl::PointXYZ pclLineY(lineY.x(), lineY.y(), lineY.z());
    pcl::PointXYZ pclLineZ(lineZ.x(), lineZ.y(), lineZ.z());

    visualizer.addLine(pcl::PointXYZ(0, 0, 0), pclOrigin, 1, 1, 1, "line");
    visualizer.addLine(pclOrigin, pclLineX, 1, 0, 0, "lineX");
    visualizer.addLine(pclOrigin, pclLineY, 0, 1, 0, "lineY");
    visualizer.addLine(pclOrigin, pclLineZ, 0, 0, 1, "lineZ");

    for(int i = 0; i < regions.size(); ++i)
    {
      const Region &region = regions[i];
      tf::Transform transform = worldToCam * region.transform;

      std::ostringstream oss;
      oss << "region_" << i;

      tf::Vector3 originB = transform * tf::Vector3(0, 0, 0);
      tf::Vector3 lineXB = transform * tf::Vector3(0.2, 0, 0);
      tf::Vector3 lineYB = transform * tf::Vector3(0, 0.2, 0);
      tf::Vector3 lineZB = transform * tf::Vector3(0, 0, 0.2);

      pcl::PointXYZ pclOriginB(originB.x(), originB.y(), originB.z());
      pcl::PointXYZ pclLineXB(lineXB.x(), lineXB.y(), lineXB.z());
      pcl::PointXYZ pclLineYB(lineYB.x(), lineYB.y(), lineYB.z());
      pcl::PointXYZ pclLineZB(lineZB.x(), lineZB.y(), lineZB.z());

      visualizer.addLine(pclOrigin, pclOriginB, 1, 1, 1, "line_" + oss.str());
      visualizer.addLine(pclOriginB, pclLineXB, 1, 0, 0, "lineX_" + oss.str());
      visualizer.addLine(pclOriginB, pclLineYB, 0, 1, 0, "lineY_" + oss.str());
      visualizer.addLine(pclOriginB, pclLineZB, 0, 0, 1, "lineZ_" + oss.str());

      Eigen::Vector3d translation;
      Eigen::Quaterniond rotation;

      tf::vectorTFToEigen(transform.getOrigin(), translation);
      tf::quaternionTFToEigen(transform.getRotation(), rotation);

      visualizer.addCube(translation.cast<float>(), rotation.cast<float>(), region.width, region.height, region.depth, oss.str());
    }
  }