normal_estimation_omp_nodelet.cpp
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00001 // -*- mode: c++ -*-
00002 /*********************************************************************
00003  * Software License Agreement (BSD License)
00004  *
00005  *  Copyright (c) 2015, JSK Lab
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00035 
00036 #define BOOST_PARAMETER_MAX_ARITY 7
00037 #include "jsk_pcl_ros/normal_estimation_omp.h"
00038 #include <pcl/point_types.h>
00039 #include <pcl/features/normal_3d_omp.h>
00040 
00041 namespace jsk_pcl_ros
00042 {
00043   void NormalEstimationOMP::onInit()
00044   {
00045     pcl::console::setVerbosityLevel(pcl::console::L_ERROR);
00046     DiagnosticNodelet::onInit();
00047     pnh_->param("number_of_threads", num_of_threads_, 0);
00048     NODELET_DEBUG_STREAM("num_of_threads: " << num_of_threads_);
00049     srv_ = boost::make_shared <dynamic_reconfigure::Server<Config> > (*pnh_);
00050     typename dynamic_reconfigure::Server<Config>::CallbackType f =
00051       boost::bind (&NormalEstimationOMP::configCallback, this, _1, _2);
00052     srv_->setCallback (f);
00053     pub_ = advertise<sensor_msgs::PointCloud2>(*pnh_, "output", 1);
00054     pub_with_xyz_ = advertise<sensor_msgs::PointCloud2>(*pnh_, "output_with_xyz", 1);
00055     pub_latest_time_ = advertise<std_msgs::Float32>(
00056       *pnh_, "output/latest_time", 1);
00057     pub_average_time_ = advertise<std_msgs::Float32>(
00058       *pnh_, "output/average_time", 1);
00059     onInitPostProcess();
00060   }
00061 
00062   void NormalEstimationOMP::subscribe()
00063   {
00064     sub_ = pnh_->subscribe("input", 1, &NormalEstimationOMP::estimate, this);
00065   }
00066 
00067   void NormalEstimationOMP::unsubscribe()
00068   {
00069     sub_.shutdown();
00070   }
00071 
00072   void NormalEstimationOMP::configCallback(
00073     Config& config, uint32_t level)
00074   {
00075     boost::mutex::scoped_lock lock(mutex_);
00076     k_ = config.k_search;
00077     search_radius_ = config.radius_search;
00078   }
00079 
00080   void NormalEstimationOMP::estimate(
00081     const sensor_msgs::PointCloud2::ConstPtr& cloud_msg)
00082   {
00083     boost::mutex::scoped_lock lock(mutex_);
00084     vital_checker_->poke();
00085     {
00086       jsk_recognition_utils::ScopedWallDurationReporter r
00087         = timer_.reporter(pub_latest_time_, pub_average_time_);
00088       pcl::PointCloud<pcl::PointXYZRGB>::Ptr
00089         cloud(new pcl::PointCloud<pcl::PointXYZRGB>);
00090       pcl::fromROSMsg(*cloud_msg, *cloud);
00091       pcl::NormalEstimationOMP<pcl::PointXYZRGB, pcl::Normal> impl(num_of_threads_);
00092       impl.setInputCloud(cloud);
00093       pcl::search::KdTree<pcl::PointXYZRGB>::Ptr
00094         tree (new pcl::search::KdTree<pcl::PointXYZRGB> ());
00095       impl.setSearchMethod (tree);
00096       impl.setKSearch(k_);
00097       impl.setRadiusSearch(search_radius_);
00098       pcl::PointCloud<pcl::Normal>::Ptr
00099         normal_cloud(new pcl::PointCloud<pcl::Normal>);
00100       impl.compute(*normal_cloud);
00101 
00102       sensor_msgs::PointCloud2 ros_normal_cloud;
00103       pcl::toROSMsg(*normal_cloud, ros_normal_cloud);
00104       ros_normal_cloud.header = cloud_msg->header;
00105       pub_.publish(ros_normal_cloud);
00106 
00107       pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr
00108         normal_xyz(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
00109       normal_xyz->points.resize(cloud->points.size());
00110       for (size_t i = 0; i < normal_xyz->points.size(); i++) {
00111         pcl::PointXYZRGBNormal p;
00112         p.x = cloud->points[i].x;
00113         p.y = cloud->points[i].y;
00114         p.z = cloud->points[i].z;
00115         p.rgb = cloud->points[i].rgb;
00116         p.normal_x = normal_cloud->points[i].normal_x;
00117         p.normal_y = normal_cloud->points[i].normal_y;
00118         p.normal_z = normal_cloud->points[i].normal_z;
00119         normal_xyz->points[i] = p;
00120       }
00121 
00122       sensor_msgs::PointCloud2 ros_normal_xyz_cloud;
00123       pcl::toROSMsg(*normal_xyz, ros_normal_xyz_cloud);
00124       ros_normal_xyz_cloud.header = cloud_msg->header;
00125       pub_with_xyz_.publish(ros_normal_xyz_cloud);
00126     }
00127   }
00128 }
00129 
00130 #include <pluginlib/class_list_macros.h>
00131 PLUGINLIB_EXPORT_CLASS (jsk_pcl_ros::NormalEstimationOMP, nodelet::Nodelet);


jsk_pcl_ros
Author(s): Yohei Kakiuchi
autogenerated on Tue Jul 2 2019 19:41:43