find_contours_nodelet.cpp
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00004 *  Copyright (c) 2014, Kei Okada.
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00034 
00035 // https://github.com/Itseez/opencv/blob/2.4/samples/cpp/tutorial_code/ShapeDescriptors/findContours_Demo.cpp
00042 #include <ros/ros.h>
00043 #include "opencv_apps/nodelet.h"
00044 #include <image_transport/image_transport.h>
00045 #include <sensor_msgs/image_encodings.h>
00046 #include <cv_bridge/cv_bridge.h>
00047 #include <sensor_msgs/image_encodings.h>
00048 
00049 #include <opencv2/highgui/highgui.hpp>
00050 #include <opencv2/imgproc/imgproc.hpp>
00051 
00052 #include <dynamic_reconfigure/server.h>
00053 #include "opencv_apps/FindContoursConfig.h"
00054 #include "opencv_apps/Contour.h"
00055 #include "opencv_apps/ContourArray.h"
00056 #include "opencv_apps/ContourArrayStamped.h"
00057 
00058 namespace find_contours {
00059 class FindContoursNodelet : public opencv_apps::Nodelet
00060 {
00061   image_transport::Publisher img_pub_;
00062   image_transport::Subscriber img_sub_;
00063   image_transport::CameraSubscriber cam_sub_;
00064   ros::Publisher msg_pub_;
00065 
00066   boost::shared_ptr<image_transport::ImageTransport> it_;
00067 
00068   typedef find_contours::FindContoursConfig Config;
00069   typedef dynamic_reconfigure::Server<Config> ReconfigureServer;
00070   Config config_;
00071   boost::shared_ptr<ReconfigureServer> reconfigure_server_;
00072 
00073   bool debug_view_;
00074   ros::Time prev_stamp_;
00075 
00076   int low_threshold_;
00077 
00078   std::string window_name_;
00079   static bool need_config_update_;
00080 
00081   void reconfigureCallback(Config &new_config, uint32_t level)
00082   {
00083     config_ = new_config;
00084     low_threshold_ = config_.canny_low_threshold;
00085   }
00086 
00087   const std::string &frameWithDefault(const std::string &frame, const std::string &image_frame)
00088   {
00089     if (frame.empty())
00090       return image_frame;
00091     return frame;
00092   }
00093 
00094   void imageCallbackWithInfo(const sensor_msgs::ImageConstPtr& msg, const sensor_msgs::CameraInfoConstPtr& cam_info)
00095   {
00096     do_work(msg, cam_info->header.frame_id);
00097   }
00098   
00099   void imageCallback(const sensor_msgs::ImageConstPtr& msg)
00100   {
00101     do_work(msg, msg->header.frame_id);
00102   }
00103 
00104   static void trackbarCallback( int, void* )
00105   {
00106     need_config_update_ = true;
00107   }
00108 
00109   void do_work(const sensor_msgs::ImageConstPtr& msg, const std::string input_frame_from_msg)
00110   {
00111     // Work on the image.
00112     try
00113     {
00114       // Convert the image into something opencv can handle.
00115       cv::Mat frame = cv_bridge::toCvShare(msg, sensor_msgs::image_encodings::BGR8)->image;
00116 
00117       // Messages
00118       opencv_apps::ContourArrayStamped contours_msg;
00119       contours_msg.header = msg->header;
00120 
00121       // Do the work
00122       cv::Mat src_gray;
00123 
00125       if ( frame.channels() > 1 ) {
00126         cv::cvtColor( frame, src_gray, cv::COLOR_RGB2GRAY );
00127       } else {
00128         src_gray = frame;
00129       }
00130       cv::GaussianBlur( src_gray, src_gray, cv::Size(3,3), 0, 0, cv::BORDER_DEFAULT );
00131 
00133       if( debug_view_) {
00134         cv::namedWindow( window_name_, cv::WINDOW_AUTOSIZE );
00135       }
00136       
00137       cv::Mat canny_output;
00138       int max_thresh = 255;
00139       std::vector<std::vector<cv::Point> > contours;
00140       std::vector<cv::Vec4i> hierarchy;
00141       cv::RNG rng(12345);
00142 
00144       cv::blur( src_gray, canny_output, cv::Size(3,3) );
00145 
00147       cv::Canny( canny_output, canny_output, low_threshold_, low_threshold_*2, 3 );
00148 
00150       cv::findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cv::Point(0, 0) );
00151 
00153       cv::Mat drawing = cv::Mat::zeros( canny_output.size(), CV_8UC3 );
00154       for( size_t i = 0; i< contours.size(); i++ )
00155       {
00156         cv::Scalar color = cv::Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
00157         cv::drawContours( drawing, contours, (int)i, color, 2, 8, hierarchy, 0, cv::Point() );
00158         
00159         opencv_apps::Contour contour_msg;
00160         for ( size_t j = 0; j < contours[i].size(); j++ ) {
00161           opencv_apps::Point2D point_msg;
00162           point_msg.x = contours[i][j].x;
00163           point_msg.y = contours[i][j].y;
00164           contour_msg.points.push_back(point_msg);
00165         }
00166         contours_msg.contours.push_back(contour_msg);
00167       }
00168 
00170       if( debug_view_) {
00171         if (need_config_update_) {
00172           config_.canny_low_threshold = low_threshold_;
00173           reconfigure_server_->updateConfig(config_);
00174           need_config_update_ = false;
00175         }
00176         cv::createTrackbar( "Canny thresh:", window_name_, &low_threshold_, max_thresh, trackbarCallback);
00177 
00178         cv::imshow( window_name_, drawing );
00179         int c = cv::waitKey(1);
00180       }
00181 
00182       // Publish the image.
00183       sensor_msgs::Image::Ptr out_img = cv_bridge::CvImage(msg->header, sensor_msgs::image_encodings::BGR8, drawing).toImageMsg();
00184       img_pub_.publish(out_img);
00185       msg_pub_.publish(contours_msg);
00186     }
00187     catch (cv::Exception &e)
00188     {
00189       NODELET_ERROR("Image processing error: %s %s %s %i", e.err.c_str(), e.func.c_str(), e.file.c_str(), e.line);
00190     }
00191 
00192     prev_stamp_ = msg->header.stamp;
00193   }
00194 
00195   void subscribe()
00196   {
00197     NODELET_DEBUG("Subscribing to image topic.");
00198     if (config_.use_camera_info)
00199       cam_sub_ = it_->subscribeCamera("image", 3, &FindContoursNodelet::imageCallbackWithInfo, this);
00200     else
00201       img_sub_ = it_->subscribe("image", 3, &FindContoursNodelet::imageCallback, this);
00202   }
00203 
00204   void unsubscribe()
00205   {
00206     NODELET_DEBUG("Unsubscribing from image topic.");
00207     img_sub_.shutdown();
00208     cam_sub_.shutdown();
00209   }
00210 
00211 public:
00212   virtual void onInit()
00213   {
00214     Nodelet::onInit();
00215     it_ = boost::shared_ptr<image_transport::ImageTransport>(new image_transport::ImageTransport(*nh_));
00216 
00217     pnh_->param("debug_view", debug_view_, false);
00218     if (debug_view_) {
00219       always_subscribe_ = true;
00220     }
00221     prev_stamp_ = ros::Time(0, 0);
00222 
00223     window_name_ = "Demo code to find contours in an image";
00224     low_threshold_ = 100; // only for canny
00225     
00226     reconfigure_server_ = boost::make_shared<dynamic_reconfigure::Server<Config> >(*pnh_);
00227     dynamic_reconfigure::Server<Config>::CallbackType f =
00228       boost::bind(&FindContoursNodelet::reconfigureCallback, this, _1, _2);
00229     reconfigure_server_->setCallback(f);
00230 
00231     img_pub_ = advertiseImage(*pnh_, "image", 1);
00232     msg_pub_ = advertise<opencv_apps::ContourArrayStamped>(*pnh_, "contours", 1);
00233 
00234     onInitPostProcess();
00235   }
00236 };
00237 bool FindContoursNodelet::need_config_update_ = false;
00238 }
00239 
00240 #include <pluginlib/class_list_macros.h>
00241 PLUGINLIB_EXPORT_CLASS(find_contours::FindContoursNodelet, nodelet::Nodelet);


opencv_apps
Author(s): Kei Okada
autogenerated on Tue May 2 2017 02:58:58