general_contours_nodelet.cpp

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// https://github.com/Itseez/opencv/blob/2.4/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
#include <ros/ros.h>
#include "opencv_apps/nodelet.h"
#include <image_transport/image_transport.h>
#include <sensor_msgs/image_encodings.h>
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/image_encodings.h>

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

#include <dynamic_reconfigure/server.h>
#include "opencv_apps/GeneralContoursConfig.h"
#include "opencv_apps/RotatedRect.h"
#include "opencv_apps/RotatedRectArray.h"
#include "opencv_apps/RotatedRectArrayStamped.h"

namespace opencv_apps
{
class GeneralContoursNodelet : public opencv_apps::Nodelet
{
  image_transport::Publisher img_pub_;
  image_transport::Subscriber img_sub_;
  image_transport::CameraSubscriber cam_sub_;
  ros::Publisher rects_pub_, ellipses_pub_;

  boost::shared_ptr<image_transport::ImageTransport> it_;

  typedef opencv_apps::GeneralContoursConfig 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_;

  int threshold_;

  std::string window_name_;
  static bool need_config_update_;

  void reconfigureCallback(Config& new_config, uint32_t level)
  {
    config_ = new_config;
    threshold_ = config_.threshold;
  }

  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::RotatedRectArrayStamped rects_msg, ellipses_msg;
      rects_msg.header = msg->header;
      ellipses_msg.header = msg->header;

      // Do the work
      cv::Mat src_gray;

      if (frame.channels() > 1)
      {
        cv::cvtColor(frame, src_gray, cv::COLOR_RGB2GRAY);
      }
      else
      {
        src_gray = frame;
      }
      cv::blur(src_gray, src_gray, cv::Size(3, 3));

      if (debug_view_)
      {
        cv::namedWindow(window_name_, cv::WINDOW_AUTOSIZE);
      }

      cv::Mat threshold_output;
      int max_thresh = 255;
      std::vector<std::vector<cv::Point> > contours;
      std::vector<cv::Vec4i> hierarchy;
      cv::RNG rng(12345);

      cv::threshold(src_gray, threshold_output, threshold_, 255, cv::THRESH_BINARY);

      cv::findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cv::Point(0, 0));

      std::vector<cv::RotatedRect> min_rect(contours.size());
      std::vector<cv::RotatedRect> min_ellipse(contours.size());

      for (size_t i = 0; i < contours.size(); i++)
      {
        min_rect[i] = cv::minAreaRect(cv::Mat(contours[i]));
        if (contours[i].size() > 5)
        {
          min_ellipse[i] = cv::fitEllipse(cv::Mat(contours[i]));
        }
      }

      cv::Mat drawing = cv::Mat::zeros(threshold_output.size(), CV_8UC3);
      for (size_t i = 0; i < contours.size(); i++)
      {
        cv::Scalar color = cv::Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
        // contour
        cv::drawContours(drawing, contours, (int)i, color, 1, 8, std::vector<cv::Vec4i>(), 0, cv::Point());
        // ellipse
        cv::ellipse(drawing, min_ellipse[i], color, 2, 8);
        // rotated rectangle
        cv::Point2f rect_points[4];
        min_rect[i].points(rect_points);
        for (int j = 0; j < 4; j++)
          cv::line(drawing, rect_points[j], rect_points[(j + 1) % 4], color, 1, 8);

        opencv_apps::RotatedRect rect_msg;
        opencv_apps::Point2D rect_center;
        opencv_apps::Size rect_size;
        rect_center.x = min_rect[i].center.x;
        rect_center.y = min_rect[i].center.y;
        rect_size.width = min_rect[i].size.width;
        rect_size.height = min_rect[i].size.height;
        rect_msg.center = rect_center;
        rect_msg.size = rect_size;
        rect_msg.angle = min_rect[i].angle;
        opencv_apps::RotatedRect ellipse_msg;
        opencv_apps::Point2D ellipse_center;
        opencv_apps::Size ellipse_size;
        ellipse_center.x = min_ellipse[i].center.x;
        ellipse_center.y = min_ellipse[i].center.y;
        ellipse_size.width = min_ellipse[i].size.width;
        ellipse_size.height = min_ellipse[i].size.height;
        ellipse_msg.center = ellipse_center;
        ellipse_msg.size = ellipse_size;
        ellipse_msg.angle = min_ellipse[i].angle;

        rects_msg.rects.push_back(rect_msg);
        ellipses_msg.rects.push_back(ellipse_msg);
      }

      if (debug_view_)
      {
        if (need_config_update_)
        {
          config_.threshold = threshold_;
          reconfigure_server_->updateConfig(config_);
          need_config_update_ = false;
        }
        cv::createTrackbar("Threshold:", window_name_, &threshold_, max_thresh, trackbarCallback);

        cv::imshow(window_name_, drawing);
        int c = cv::waitKey(1);
      }

      // Publish the image.
      sensor_msgs::Image::Ptr out_img =
          cv_bridge::CvImage(msg->header, sensor_msgs::image_encodings::BGR8, drawing).toImageMsg();
      img_pub_.publish(out_img);
      rects_pub_.publish(rects_msg);
      ellipses_pub_.publish(ellipses_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;
  }

  void subscribe()  // NOLINT(modernize-use-override)
  {
    NODELET_DEBUG("Subscribing to image topic.");
    if (config_.use_camera_info)
      cam_sub_ = it_->subscribeCamera("image", queue_size_, &GeneralContoursNodelet::imageCallbackWithInfo, this);
    else
      img_sub_ = it_->subscribe("image", queue_size_, &GeneralContoursNodelet::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_ = "Contours";
    threshold_ = 100;

    reconfigure_server_ = boost::make_shared<dynamic_reconfigure::Server<Config> >(*pnh_);
    dynamic_reconfigure::Server<Config>::CallbackType f =
        boost::bind(&GeneralContoursNodelet::reconfigureCallback, this, _1, _2);
    reconfigure_server_->setCallback(f);

    img_pub_ = advertiseImage(*pnh_, "image", 1);
    rects_pub_ = advertise<opencv_apps::RotatedRectArrayStamped>(*pnh_, "rectangles", 1);
    ellipses_pub_ = advertise<opencv_apps::RotatedRectArrayStamped>(*pnh_, "ellipses", 1);

    onInitPostProcess();
  }
};
bool GeneralContoursNodelet::need_config_update_ = false;
}  // namespace opencv_apps

namespace general_contours
{
class GeneralContoursNodelet : public opencv_apps::GeneralContoursNodelet
{
public:
  virtual void onInit()  // NOLINT(modernize-use-override)
  {
    ROS_WARN("DeprecationWarning: Nodelet general_contours/general_contours is deprecated, "
             "and renamed to opencv_apps/general_contours.");
    opencv_apps::GeneralContoursNodelet::onInit();
  }
};
}  // namespace general_contours

#include <pluginlib/class_list_macros.h>
PLUGINLIB_EXPORT_CLASS(opencv_apps::GeneralContoursNodelet, nodelet::Nodelet);
PLUGINLIB_EXPORT_CLASS(general_contours::GeneralContoursNodelet, nodelet::Nodelet);