greenhouse/pcl_ros/tools/pcd_to_pointcloud.cpp

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 * $Id: pcd_to_pointcloud.cpp 33238 2010-03-11 00:46:58Z rusu $
 *
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/**

\author Radu Bogdan Rusu

@b pcd_to_pointcloud is a simple node that loads PCD (Point Cloud Data) files from disk and publishes them as ROS messages on the network.

 **/

// ROS core
#include <ros/ros.h>
#include <pcl/io/io.h>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
#include <pcl_conversions/pcl_conversions.h>

#include "pcl_ros/publisher.h"

using namespace std;

class PCDGenerator
{
  protected:
    string tf_frame_;
    ros::NodeHandle nh_;
    ros::NodeHandle private_nh_;
  public:

    // ROS messages
    sensor_msgs::PointCloud2 cloud_;

    string file_name_, cloud_topic_;
    double wait_;

    pcl_ros::Publisher<sensor_msgs::PointCloud2> pub_;

    ////////////////////////////////////////////////////////////////////////////////
    PCDGenerator () : tf_frame_ ("/base_link"), private_nh_("~")
    {
      // Maximum number of outgoing messages to be queued for delivery to subscribers = 1

      cloud_topic_ = "cloud_pcd";
      pub_.advertise (nh_, cloud_topic_.c_str (), 1);
      private_nh_.param("frame_id", tf_frame_, std::string("/base_link"));
      ROS_INFO ("Publishing data on topic %s with frame_id %s.", nh_.resolveName (cloud_topic_).c_str (), tf_frame_.c_str());
    }

    ////////////////////////////////////////////////////////////////////////////////
    // Start
    int
      start ()
    {
      if (file_name_ == "" || pcl::io::loadPCDFile (file_name_, cloud_) == -1)
        return (-1);
      cloud_.header.frame_id = tf_frame_;
      return (0);
    }

    ////////////////////////////////////////////////////////////////////////////////
    // Spin (!)
    bool spin ()
    {
      int nr_points      = cloud_.width * cloud_.height;
      string fields_list = pcl::getFieldsList (cloud_);
      double interval = wait_ * 1e+6;
      while (nh_.ok ())
      {
        ROS_DEBUG_ONCE ("Publishing data with %d points (%s) on topic %s in frame %s.", nr_points, fields_list.c_str (), nh_.resolveName (cloud_topic_).c_str (), cloud_.header.frame_id.c_str ());
        cloud_.header.stamp = ros::Time::now ();

        if (pub_.getNumSubscribers () > 0)
        {
          ROS_DEBUG ("Publishing data to %d subscribers.", pub_.getNumSubscribers ());
          pub_.publish (cloud_);
        }
        else
        {
					// check once a second if there is any subscriber
          ros::Duration (1).sleep ();
          continue;
        }

        usleep (interval);

        if (interval == 0)	// We only publish once if a 0 seconds interval is given
				{
					// Give subscribers 3 seconds until point cloud decays... a little ugly!
		      ros::Duration (3.0).sleep ();
          break;
				}
      }
      return (true);
    }


};

/* ---[ */
int
  main (int argc, char** argv)
{
  if (argc < 2)
  {
    std::cerr << "Syntax is: " << argv[0] << " <file.pcd> [publishing_interval (in seconds)]" << std::endl;
    return (-1);
  }

  ros::init (argc, argv, "pcd_to_pointcloud");

  PCDGenerator c;
  c.file_name_ = string (argv[1]);
  // check if publishing interval is given
  if (argc == 2)
	{
  	c.wait_ = 0;
	}
	else
	{
		c.wait_ = atof (argv[2]);
	}

  if (c.start () == -1)
  {
    ROS_ERROR ("Could not load file %s. Exiting.", argv[1]);
    return (-1);
  }
  ROS_INFO ("Loaded a point cloud with %d points (total size is %zu) and the following channels: %s.",  c.cloud_.width * c.cloud_.height, c.cloud_.data.size (), pcl::getFieldsList (c.cloud_).c_str ());
  c.spin ();

  return (0);
}
/* ]--- */