range_image_visualization.cpp

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/*
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 *     with the distribution.
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 *     contributors may be used to endorse or promote products derived
 *     from this software without specific prior written permission.
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/* \author Bastian Steder */

/* ---[ */


#include <iostream>
using namespace std;

#include "pcl_visualization/range_image_visualizer.h"

#include <Eigen/Geometry>
#include "pcl/point_cloud.h"
#include "pcl/point_types.h"
#include "pcl/io/pcd_io.h"
#include "pcl/range_image/range_image.h"

using namespace pcl;

typedef PointWithViewpoint PointType;

int 
  main (int argc, char** argv) 
{
  pcl::PointCloud<PointType> point_cloud;
  
  bool use_point_cloud_from_file = argc >= 2;
  if (use_point_cloud_from_file) {
    string fileName = argv[1];
    ROS_INFO_STREAM ("Trying to open \""<<fileName<<"\".\n");
    if (pcl::io::loadPCDFile(fileName, point_cloud) == -1) {
      ROS_ERROR_STREAM("Was not able to open file \""<<fileName<<"\".\n");
      use_point_cloud_from_file = false;
    }
  }
  else {
    cout << "\n\nUsage: "<<argv[0]<<" <file.pcl> <angular resolution (default 0.5)> <coordinate frame (default 0)>\n\n";
  }
  
  if (!use_point_cloud_from_file) {
    ROS_INFO_STREAM ("No file given or could not read file => Genarating example point cloud.\n");
    for (float y=-0.5f; y<=0.5f; y+=0.01f) {
      for (float z=-0.5f; z<=0.5f; z+=0.01f) {
        PointType point;
        point.x = 2.0f - y;
        point.y = y;
        point.z = z;
        point_cloud.points.push_back(point);
      }
    }
    point_cloud.width = point_cloud.points.size();
    point_cloud.height = 1;
  }

  float angular_resolution = DEG2RAD(0.5f);
  if (argc >= 3) {
    float tmp_angular_resolution = strtod(argv[2], NULL);
    if (tmp_angular_resolution >= 0.1f)  // Check for too small numbers (or we might get a memory problem)
    {
      cout << "Using angular resolution "<<tmp_angular_resolution<<"deg from command line.\n";
      angular_resolution = DEG2RAD(tmp_angular_resolution);
    }
  }
  
  RangeImage::CoordinateFrame coordinate_frame = RangeImage::CAMERA_FRAME;
  if (argc >= 4) 
  {
    coordinate_frame = (RangeImage::CoordinateFrame)strtol(argv[3], NULL, 0);
    cout << "Using coordinate frame "<<coordinate_frame<<".\n";
  }
  
  // We now want to create a range image from the above point cloud, with a 1° angular resolution
  float max_angle_width  = DEG2RAD(360.0f);  // 360.0 degree in radians
  float max_angle_height = DEG2RAD(180.0f);  // 180.0 degree in radians
  float noise_level=0.0f;
  float min_range = 0.0f;
  int border_size = 2;
  
  RangeImage range_image;
  //Eigen::Transform3f sensor_pose = (Eigen::Transform3f)Eigen::Translation3f(0.0f, 0.0f, 0.0f);
  //range_image.createFromPointCloud(point_cloud, angular_resolution, max_angle_width, max_angle_height, sensor_pose, coordinate_frame,
                                   //noise_level, min_range, border_size);
  range_image.createFromPointCloudWithViewpoints(point_cloud, angular_resolution, max_angle_width, max_angle_height,
                                                 coordinate_frame, noise_level, min_range, border_size);
  
  cout << PVARN(range_image);
  
  pcl_visualization::RangeImageVisualizer range_image_widget ("Range Image");
  range_image_widget.setRangeImage (range_image);
  //range_image_widget.markPoint (range_image.width/2, range_image.height/2, wxRED_PEN);
  //range_image_widget.markLine (0.0f, 0.0f, range_image.width/2, range_image.height/2, wxRED_PEN);
  
  pcl_visualization::RangeImageVisualizer::spin ();  // process GUI events
  
  // OR, if you want your own main loop instead:
  //while(range_imageWidget.isShown()) {
    //RangeImageVisualizer::spinOnce();  // process GUI events
    //usleep(10000);
  //}
  
  wxEntryCleanup();  // Free memory allocated by wxEntryStart
  
  return (0);
}

/* ]--- */

---

pcl_visualization
Author(s): Radu Bogdan Rusu, Bastian Steder, Ethan Rublee
autogenerated on Fri Jan 11 09:59:11 2013