colorize_labels.cpp

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// -*- mode: c++ -*-
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#include "jsk_perception/colorize_labels.h"
#include <jsk_topic_tools/color_utils.h>
#include <cv_bridge/cv_bridge.h>
#include <opencv2/opencv.hpp>
#include <sensor_msgs/image_encodings.h>

namespace jsk_perception
{
  void ColorizeLabels::onInit()
  {
    DiagnosticNodelet::onInit();
    pub_ = advertise<sensor_msgs::Image>(
      *pnh_, "output", 1);
  }

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

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

  void ColorizeLabels::colorize(
    const sensor_msgs::Image::ConstPtr& label_image_msg)
  {
    cv::Mat label_image = cv_bridge::toCvShare(
      label_image_msg, label_image_msg->encoding)->image;
    cv::Mat output_image = cv::Mat::zeros(label_image_msg->height,
                                          label_image_msg->width,
                                          CV_8UC3);
    JSK_ROS_INFO("%dx%d", label_image_msg->width, label_image_msg->height);
    for (size_t j = 0; j < label_image.rows; ++j) {
      for (size_t i = 0; i < label_image.cols; ++i) {
        int label = label_image.at<int>(j, i);
        if (label == 0) {
          output_image.at<cv::Vec3b>(j, i) = cv::Vec3b(0, 0, 0);
        }
        else {
          std_msgs::ColorRGBA rgba = jsk_topic_tools::colorCategory20(label);
          output_image.at<cv::Vec3b>(j, i)
            = cv::Vec3b(int(rgba.b * 255), int(rgba.g * 255), int(rgba.r * 255));
        }
      }
    }
    pub_.publish(
      cv_bridge::CvImage(
        label_image_msg->header,
        sensor_msgs::image_encodings::BGR8,
        output_image).toImageMsg());
  }
}

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