segment_objects_nodelet.cpp

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// https://github.com/Itseez/opencv/blob/2.4/samples/cpp/segment_objects.cpp
#include <ros/ros.h>
#include "opencv_apps/nodelet.h"
#include <image_transport/image_transport.h>
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/image_encodings.h>
 
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/video/background_segm.hpp>
#if CV_MAJOR_VERSION >= 4
#include <opencv2/imgproc/imgproc_c.h>  // incldue CV_FILLED
#endif
 
#include <dynamic_reconfigure/server.h>
#include "opencv_apps/SegmentObjectsConfig.h"
#include "std_srvs/Empty.h"
#include "std_msgs/Float64.h"
#include "opencv_apps/Contour.h"
#include "opencv_apps/ContourArray.h"
#include "opencv_apps/ContourArrayStamped.h"
 
namespace opencv_apps
{
class SegmentObjectsNodelet : public opencv_apps::Nodelet
{
  image_transport::Publisher img_pub_;
  image_transport::Subscriber img_sub_;
  image_transport::CameraSubscriber cam_sub_;
  ros::Publisher msg_pub_, area_pub_;
  ros::ServiceServer update_bg_model_service_;
 
  boost::shared_ptr<image_transport::ImageTransport> it_;
 
  typedef opencv_apps::SegmentObjectsConfig Config;
  typedef dynamic_reconfigure::Server<Config> ReconfigureServer;
  Config config_;
  boost::shared_ptr<ReconfigureServer> reconfigure_server_;
 
  int queue_size_;
  bool debug_view_;
  ros::Time prev_stamp_;
 
  std::string window_name_;
  static bool need_config_update_;
 
#ifndef CV_VERSION_EPOCH
  cv::Ptr<cv::BackgroundSubtractorMOG2> bgsubtractor;
#else
  cv::BackgroundSubtractorMOG bgsubtractor;
#endif
  bool update_bg_model;
 
  void reconfigureCallback(Config& new_config, uint32_t level)
  {
    config_ = new_config;
  }
 
  const std::string& frameWithDefault(const std::string& frame, const std::string& image_frame)
  {
    if (frame.empty())
      return image_frame;
    return frame;
  }
 
  void imageCallbackWithInfo(const sensor_msgs::ImageConstPtr& msg, const sensor_msgs::CameraInfoConstPtr& cam_info)
  {
    doWork(msg, cam_info->header.frame_id);
  }
 
  void imageCallback(const sensor_msgs::ImageConstPtr& msg)
  {
    doWork(msg, msg->header.frame_id);
  }
 
  static void trackbarCallback(int /*unused*/, void* /*unused*/)
  {
    need_config_update_ = true;
  }
 
  void doWork(const sensor_msgs::ImageConstPtr& msg, const std::string& input_frame_from_msg)
  {
    // Work on the image.
    try
    {
      // Convert the image into something opencv can handle.
      cv::Mat frame = cv_bridge::toCvShare(msg, sensor_msgs::image_encodings::BGR8)->image;
 
      // Messages
      opencv_apps::ContourArrayStamped contours_msg;
      contours_msg.header = msg->header;
 
      // Do the work
      cv::Mat bgmask, out_frame;
 
      if (debug_view_)
      {
        cv::namedWindow(window_name_, cv::WINDOW_AUTOSIZE);
        if (need_config_update_)
        {
          reconfigure_server_->updateConfig(config_);
          need_config_update_ = false;
        }
      }
 
#ifndef CV_VERSION_EPOCH
      bgsubtractor->apply(frame, bgmask, update_bg_model ? -1 : 0);
#else
      bgsubtractor(frame, bgmask, update_bg_model ? -1 : 0);
#endif
      // refineSegments(tmp_frame, bgmask, out_frame);
      int niters = 3;
 
      std::vector<std::vector<cv::Point> > contours;
      std::vector<cv::Vec4i> hierarchy;
 
      cv::Mat temp;
 
      cv::dilate(bgmask, temp, cv::Mat(), cv::Point(-1, -1), niters);
      cv::erode(temp, temp, cv::Mat(), cv::Point(-1, -1), niters * 2);
      cv::dilate(temp, temp, cv::Mat(), cv::Point(-1, -1), niters);
 
      cv::findContours(temp, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
 
      out_frame = cv::Mat::zeros(frame.size(), CV_8UC3);
 
      if (contours.empty())
        return;
 
      // iterate through all the top-level contours,
      // draw each connected component with its own random color
      int idx = 0, largest_comp = 0;
      double max_area = 0;
 
      for (; idx >= 0; idx = hierarchy[idx][0])
      {
        const std::vector<cv::Point>& c = contours[idx];
        double area = fabs(cv::contourArea(cv::Mat(c)));
        if (area > max_area)
        {
          max_area = area;
          largest_comp = idx;
        }
      }
      cv::Scalar color(0, 0, 255);
      cv::drawContours(out_frame, contours, largest_comp, color, CV_FILLED, 8, hierarchy);
 
      std_msgs::Float64 area_msg;
      area_msg.data = max_area;
      for (const std::vector<cv::Point>& contour : contours)
      {
        opencv_apps::Contour contour_msg;
        for (const cv::Point& j : contour)
        {
          opencv_apps::Point2D point_msg;
          point_msg.x = j.x;
          point_msg.y = j.y;
          contour_msg.points.push_back(point_msg);
        }
        contours_msg.contours.push_back(contour_msg);
      }
 
      //-- Show what you got
      if (debug_view_)
      {
        cv::imshow(window_name_, out_frame);
        int keycode = cv::waitKey(1);
        // if( keycode == 27 )
        //    break;
        if (keycode == ' ')
        {
          update_bg_model = !update_bg_model;
          NODELET_INFO("Learn background is in state = %d", update_bg_model);
        }
      }
 
      // Publish the image.
      sensor_msgs::Image::Ptr out_img =
          cv_bridge::CvImage(msg->header, sensor_msgs::image_encodings::BGR8, out_frame).toImageMsg();
      img_pub_.publish(out_img);
      msg_pub_.publish(contours_msg);
      area_pub_.publish(area_msg);
    }
    catch (cv::Exception& e)
    {
      NODELET_ERROR("Image processing error: %s %s %s %i", e.err.c_str(), e.func.c_str(), e.file.c_str(), e.line);
    }
 
    prev_stamp_ = msg->header.stamp;
  }
 
  bool updateBgModelCb(std_srvs::Empty::Request& request, std_srvs::Empty::Response& response)
  {
    update_bg_model = !update_bg_model;
    NODELET_INFO("Learn background is in state = %d", update_bg_model);
    return true;
  }
 
  void subscribe()  // NOLINT(modernize-use-override)
  {
    NODELET_DEBUG("Subscribing to image topic.");
    if (config_.use_camera_info)
      cam_sub_ = it_->subscribeCamera("image", queue_size_, &SegmentObjectsNodelet::imageCallbackWithInfo, this);
    else
      img_sub_ = it_->subscribe("image", queue_size_, &SegmentObjectsNodelet::imageCallback, this);
  }
 
  void unsubscribe()  // NOLINT(modernize-use-override)
  {
    NODELET_DEBUG("Unsubscribing from image topic.");
    img_sub_.shutdown();
    cam_sub_.shutdown();
  }
 
public:
  virtual void onInit()  // NOLINT(modernize-use-override)
  {
    Nodelet::onInit();
    it_ = boost::shared_ptr<image_transport::ImageTransport>(new image_transport::ImageTransport(*nh_));
 
    pnh_->param("queue_size", queue_size_, 3);
    pnh_->param("debug_view", debug_view_, false);
    if (debug_view_)
    {
      always_subscribe_ = true;
    }
    prev_stamp_ = ros::Time(0, 0);
 
    window_name_ = "segmented";
    update_bg_model = true;
 
#ifndef CV_VERSION_EPOCH
    bgsubtractor = cv::createBackgroundSubtractorMOG2();
#else
    bgsubtractor.set("noiseSigma", 10);
#endif
 
    reconfigure_server_ = boost::make_shared<dynamic_reconfigure::Server<Config> >(*pnh_);
    dynamic_reconfigure::Server<Config>::CallbackType f = boost::bind(&SegmentObjectsNodelet::reconfigureCallback, this,
                                                                      boost::placeholders::_1, boost::placeholders::_2);
    reconfigure_server_->setCallback(f);
 
    img_pub_ = advertiseImage(*pnh_, "image", 1);
    msg_pub_ = advertise<opencv_apps::ContourArrayStamped>(*pnh_, "contours", 1);
    area_pub_ = advertise<std_msgs::Float64>(*pnh_, "area", 1);
    update_bg_model_service_ = pnh_->advertiseService("update_bg_model", &SegmentObjectsNodelet::updateBgModelCb, this);
 
    onInitPostProcess();
  }
};
bool SegmentObjectsNodelet::need_config_update_ = false;
}  // namespace opencv_apps
 
namespace segment_objects
{
class SegmentObjectsNodelet : public opencv_apps::SegmentObjectsNodelet
{
public:
  virtual void onInit()  // NOLINT(modernize-use-override)
  {
    ROS_WARN("DeprecationWarning: Nodelet segment_objects/segment_objects is deprecated, "
             "and renamed to opencv_apps/segment_objects.");
    opencv_apps::SegmentObjectsNodelet::onInit();
  }
};
}  // namespace segment_objects
 
#ifdef USE_PLUGINLIB_CLASS_LIST_MACROS_H
#include <pluginlib/class_list_macros.h>
#else
#include <pluginlib/class_list_macros.hpp>
#endif
PLUGINLIB_EXPORT_CLASS(opencv_apps::SegmentObjectsNodelet, nodelet::Nodelet);
PLUGINLIB_EXPORT_CLASS(segment_objects::SegmentObjectsNodelet, nodelet::Nodelet);