supervoxel_segmentation_nodelet.cpp

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// -*- mode: c++ -*-
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#define BOOST_PARAMETER_MAX_ARITY 7
#include "jsk_pcl_ros/supervoxel_segmentation.h"
#include <pcl/segmentation/supervoxel_clustering.h>
namespace jsk_pcl_ros
{
  void SupervoxelSegmentation::onInit()
  {
    DiagnosticNodelet::onInit();
    srv_ = boost::make_shared <dynamic_reconfigure::Server<Config> > (*pnh_);
    dynamic_reconfigure::Server<Config>::CallbackType f =
      boost::bind (
        &SupervoxelSegmentation::configCallback, this, _1, _2);
    srv_->setCallback (f);
    pub_indices_ = advertise<jsk_recognition_msgs::ClusterPointIndices>(
      *pnh_, "output/indices", 1);
    pub_cloud_ = advertise<sensor_msgs::PointCloud2>(
      *pnh_, "output/cloud", 1);
    onInitPostProcess();
  }

  void SupervoxelSegmentation::subscribe()
  {
    sub_ = pnh_->subscribe("input", 1, &SupervoxelSegmentation::segment, this);
  }

  void SupervoxelSegmentation::unsubscribe()
  {
    sub_.shutdown();
  }

  void SupervoxelSegmentation::updateDiagnostic(
    diagnostic_updater::DiagnosticStatusWrapper &stat)
  {
    if (vital_checker_->isAlive()) {
      stat.summary(diagnostic_msgs::DiagnosticStatus::OK,
                   "SupervoxelSegmentation running");
    }
    else {
      jsk_topic_tools::addDiagnosticErrorSummary(
        "SupervoxelSegmentation", vital_checker_, stat);
    }
  }

  void SupervoxelSegmentation::segment(
    const sensor_msgs::PointCloud2::ConstPtr& cloud_msg)
  {
    boost::mutex::scoped_lock lock(mutex_);
    vital_checker_->poke();
    if (cloud_msg->data.size() > 0) {
      pcl::PointCloud<PointT>::Ptr cloud (new pcl::PointCloud<PointT>);
      pcl::fromROSMsg(*cloud_msg, *cloud);
      pcl::SupervoxelClustering<PointT> super(voxel_resolution_,
                                              seed_resolution_,
                                              use_transform_);
      super.setInputCloud(cloud);
      super.setColorImportance(color_importance_);
      super.setSpatialImportance(spatial_importance_);
      super.setNormalImportance(normal_importance_);
      std::map<uint32_t, pcl::Supervoxel<PointT>::Ptr > supervoxel_clusters;
      super.extract(supervoxel_clusters);
      pcl::PointCloud<PointT>::Ptr output (new pcl::PointCloud<PointT>);
      std::vector<pcl::PointIndices> all_indices;
      for (std::map<uint32_t, pcl::Supervoxel<PointT>::Ptr >::iterator
             it = supervoxel_clusters.begin();
           it != supervoxel_clusters.end();
           ++it) {
        pcl::Supervoxel<PointT>::Ptr super_voxel = it->second;
        pcl::PointCloud<PointT>::Ptr super_voxel_cloud = super_voxel->voxels_;
        pcl::PointIndices indices;
        // add indices...
        for (size_t i = 0; i < super_voxel_cloud->size(); i++) {
          indices.indices.push_back(i + output->points.size());
        }
        all_indices.push_back(indices);
        *output = *output + *super_voxel_cloud; // append
      }
      sensor_msgs::PointCloud2 ros_cloud;
      pcl::toROSMsg(*output, ros_cloud);
      ros_cloud.header = cloud_msg->header;
      jsk_recognition_msgs::ClusterPointIndices ros_indices;
      ros_indices.cluster_indices = pcl_conversions::convertToROSPointIndices(
        all_indices,
        cloud_msg->header);
      ros_indices.header = cloud_msg->header;
      pub_cloud_.publish(ros_cloud);
      pub_indices_.publish(ros_indices);
    }
  }

  void SupervoxelSegmentation::configCallback (Config &config, uint32_t level)
  {
    boost::mutex::scoped_lock lock(mutex_);
    color_importance_ = config.color_importance;
    spatial_importance_ = config.spatial_importance;
    normal_importance_ = config.normal_importance;
    voxel_resolution_ = config.voxel_resolution;
    seed_resolution_ = config.seed_resolution;
    use_transform_ = config.use_transform;
  }
}


#include <pluginlib/class_list_macros.h>
PLUGINLIB_EXPORT_CLASS (jsk_pcl_ros::SupervoxelSegmentation, nodelet::Nodelet);