single_channel_histogram.cpp

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// -*- mode: c++ -*-
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#include "jsk_perception/single_channel_histogram.h"
#include <boost/assign.hpp>
#include <jsk_topic_tools/log_utils.h>
#include <opencv2/opencv.hpp>
#include <cv_bridge/cv_bridge.h>
 
namespace jsk_perception
{
  void SingleChannelHistogram::onInit()
  {
    DiagnosticNodelet::onInit();
    pnh_->param("use_mask", use_mask_, false);
    srv_ = boost::make_shared <dynamic_reconfigure::Server<Config> > (*pnh_);
    dynamic_reconfigure::Server<Config>::CallbackType f =
      boost::bind (
        &SingleChannelHistogram::configCallback, this, _1, _2);
    srv_->setCallback (f);
    
    pub_ = advertise<jsk_recognition_msgs::ColorHistogram>(
      *pnh_, "output", 1);
    onInitPostProcess();
  }
 
  SingleChannelHistogram::~SingleChannelHistogram() {
    // message_filters::Synchronizer needs to be called reset
    // before message_filters::Subscriber is freed.
    // Calling reset fixes the following error on shutdown of the nodelet:
    // terminate called after throwing an instance of
    // 'boost::exception_detail::clone_impl<boost::exception_detail::error_info_injector<boost::lock_error> >'
    //     what():  boost: mutex lock failed in pthread_mutex_lock: Invalid argument
    // Also see https://github.com/ros/ros_comm/issues/720 .
    sync_.reset();
  }
 
  void SingleChannelHistogram::subscribe()
  {
    ros::V_string names;
    if (use_mask_) {
      sub_image_.subscribe(*pnh_, "input", 1);
      sub_mask_.subscribe(*pnh_, "input/mask", 1);
      names.push_back("~input");
      names.push_back("~input/mask");
      sync_ = boost::make_shared<message_filters::Synchronizer<SyncPolicy> >(100);
      sync_->connectInput(sub_image_, sub_mask_);
      sync_->registerCallback(boost::bind(&SingleChannelHistogram::compute,
                                          this, _1, _2));
    }
    else {
      sub_ = pnh_->subscribe("input", 1,
                             &SingleChannelHistogram::compute,
                             this);
      names.push_back("~input");
    }
    jsk_topic_tools::warnNoRemap(names);
  }
 
  void SingleChannelHistogram::unsubscribe()
  {
    if (use_mask_) {
      sub_image_.unsubscribe();
      sub_mask_.unsubscribe();
    }
    else {
      sub_.shutdown();
    }
  }
 
  void SingleChannelHistogram::compute(
    const sensor_msgs::Image::ConstPtr& msg,
    const sensor_msgs::Image::ConstPtr& mask_msg)
  {
    boost::mutex::scoped_lock lock(mutex_);
    cv::Mat image = cv_bridge::toCvCopy(msg, msg->encoding)->image;
    cv::Mat mask;
    if (mask_msg) {
      mask = cv_bridge::toCvCopy(mask_msg, mask_msg->encoding)->image;
    }
    float range[] = { min_value_, max_value_ } ;
    const float* histRange = { range };
    cv::MatND hist;
    bool uniform = true; bool accumulate = false;
    
    cv::calcHist(&image, 1, 0, mask, hist, 1, &hist_size_,
                 &histRange, uniform, accumulate);
    jsk_recognition_msgs::ColorHistogram histogram;
    histogram.header = msg->header;
    for (int i = 0; i < hist_size_; i++) {
      histogram.histogram.push_back(hist.at<float>(0, i));
    }
    pub_.publish(histogram);
  }
  
  void SingleChannelHistogram::compute(
    const sensor_msgs::Image::ConstPtr& msg)
  {
    compute(msg, sensor_msgs::Image::ConstPtr());
  }
 
  void SingleChannelHistogram::configCallback(
    Config &config, uint32_t level)
  {
    boost::mutex::scoped_lock lock(mutex_);
    hist_size_ = config.hist_size;
    min_value_ = config.min_value;
    max_value_ = config.max_value;
  }
}
 
#include <pluginlib/class_list_macros.h>
PLUGINLIB_EXPORT_CLASS (jsk_perception::SingleChannelHistogram, nodelet::Nodelet);