mask_image_cluster_filter_nodelet.cpp
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00001 // -*- mode: c++ -*-
00002 /*********************************************************************
00003  * Software License Agreement (BSD License)
00004  *
00005  *  Copyright (c) 2015, JSK Lab
00006  *  All rights reserved.
00007  *
00008  *  Redistribution and use in source and binary forms, with or without
00009  *  modification, are permitted provided that the following conditions
00010  *  are met:
00011  *
00012  *   * Redistributions of source code must retain the above copyright
00013  *     notice, this list of conditions and the following disclaimer.
00014  *   * Redistributions in binary form must reproduce the above
00015  *     copyright notice, this list of conditions and the following
00016  *     disclaimer in the documentation and/o2r other materials provided
00017  *     with the distribution.
00018  *   * Neither the name of the JSK Lab nor the names of its
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00022  *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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00035 
00036 #define BOOST_PARAMETER_MAX_ARITY 7
00037 #include "jsk_pcl_ros/mask_image_cluster_filter.h"
00038 #include <cv_bridge/cv_bridge.h>
00039 #include <image_geometry/pinhole_camera_model.h>
00040 #include "jsk_pcl_ros/pcl_conversion_util.h"
00041 #include <sensor_msgs/image_encodings.h>
00042 #include <pcl/filters/extract_indices.h>
00043 
00044 
00045 namespace jsk_pcl_ros
00046 {
00047   void MaskImageClusterFilter::onInit()
00048   {
00049     DiagnosticNodelet::onInit();
00050     pub_ = advertise<PCLIndicesMsg>(
00051       *pnh_, "output", 1);
00052   }
00053 
00054   void MaskImageClusterFilter::subscribe()
00055   {
00056     sub_image_ = pnh_->subscribe("input/mask", 1,
00057                                  &MaskImageClusterFilter::imageCalback, this);
00058     sub_info_ = pnh_->subscribe("input/camera_info", 1,
00059                                 &MaskImageClusterFilter::infoCalback, this);
00060     sub_input_.subscribe(*pnh_, "input", 1);
00061     sub_target_.subscribe(*pnh_, "target", 1); 
00062     sync_ = boost::make_shared<message_filters::Synchronizer<SyncPolicy> >(100);
00063     sync_->connectInput(sub_input_, sub_target_);
00064     sync_->registerCallback(boost::bind(&MaskImageClusterFilter::concat, this, _1, _2));
00065   }
00066   
00067   void MaskImageClusterFilter::unsubscribe()
00068   {
00069     sub_image_.shutdown();
00070     sub_info_.shutdown();
00071     sub_input_.unsubscribe();
00072     sub_target_.unsubscribe();
00073   }
00074   
00075   void MaskImageClusterFilter::infoCalback(
00076     const sensor_msgs::CameraInfo::ConstPtr& info_ms)
00077   {
00078     boost::mutex::scoped_lock lock(mutex_);
00079     camera_info_ = info_ms;
00080   }
00081 
00082   void MaskImageClusterFilter::imageCalback(
00083     const sensor_msgs::Image::ConstPtr& mask_msg)
00084   {
00085     boost::mutex::scoped_lock lock(mutex_);
00086     cv_bridge::CvImagePtr cv_ptr = cv_bridge::toCvCopy(
00087       mask_msg, sensor_msgs::image_encodings::MONO8);
00088     mask_image_ = cv_ptr->image;
00089   }
00090 
00091   void MaskImageClusterFilter::concat(
00092     const sensor_msgs::PointCloud2::ConstPtr& cloud_msg,
00093     const jsk_recognition_msgs::ClusterPointIndicesConstPtr &indices_input)
00094   {
00095     boost::mutex::scoped_lock lock(mutex_);
00096     if (camera_info_ && !mask_image_.empty()) {
00097       image_geometry::PinholeCameraModel model;
00098       model.fromCameraInfo(camera_info_);
00099       pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud
00100         (new pcl::PointCloud<pcl::PointXYZRGB>);
00101       pcl::fromROSMsg(*cloud_msg, *cloud);
00102       PCLIndicesMsg indices;
00103       indices.header = cloud_msg->header;
00104       pcl::ExtractIndices<pcl::PointXYZRGB> extract;
00105       extract.setInputCloud(cloud);
00106       for (size_t i = 0; i < indices_input->cluster_indices.size(); i++) {
00107         pcl::PointCloud<pcl::PointXYZRGB>::Ptr segmented_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
00108         pcl::IndicesPtr vindices;
00109         vindices.reset (new std::vector<int> (indices_input->cluster_indices[i].indices));
00110         extract.setIndices(vindices);
00111         extract.filter(*segmented_cloud);
00112         bool in_mask = false;
00113         for (size_t j = 0; j < segmented_cloud->points.size(); j++) {
00114           pcl::PointXYZRGB p = segmented_cloud->points[j];
00115           cv::Point2d uv = model.project3dToPixel(cv::Point3d(p.x, p.y, p.z));
00116           // check size
00117           if (uv.x > 0 && uv.x < mask_image_.cols &&
00118               uv.y > 0 && uv.y < mask_image_.rows) {
00119             if (mask_image_.at<uchar>(uv.y, uv.x) == 255) {
00120               in_mask = true;
00121               break;
00122             }
00123           }
00124         }
00125         if (in_mask) {
00126           vindices->size();
00127           for(size_t j=0; j < vindices->size(); j++)
00128             {
00129               indices.indices.push_back((*vindices)[j]);
00130             }
00131         }
00132       }
00133       pub_.publish(indices);
00134     }
00135   }
00136 }
00137 
00138 #include <pluginlib/class_list_macros.h>
00139 PLUGINLIB_EXPORT_CLASS (jsk_pcl_ros::MaskImageClusterFilter, nodelet::Nodelet);
00140 
00141 


jsk_pcl_ros
Author(s): Yohei Kakiuchi
autogenerated on Wed Sep 16 2015 04:36:48