apply_mask_image.cpp

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// -*- mode: c++ -*-
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#include "jsk_perception/apply_mask_image.h"
#include <boost/assign.hpp>
#include <jsk_topic_tools/log_utils.h>
#include <sensor_msgs/image_encodings.h>
#include <opencv2/opencv.hpp>
#include <cv_bridge/cv_bridge.h>
#include <jsk_recognition_utils/cv_utils.h>

namespace jsk_perception
{
  void ApplyMaskImage::onInit()
  {
    DiagnosticNodelet::onInit();
    pnh_->param("approximate_sync", approximate_sync_, false);
    pnh_->param("clip", clip_, true);
    pnh_->param("negative", negative_, false);
    pnh_->param("negative/before_clip", negative_before_clip_, true);
    pnh_->param("mask_black_to_transparent", mask_black_to_transparent_, false);
    pnh_->param("use_rectified_image", use_rectified_image_, true);
    pnh_->param("queue_size", queue_size_, 100);
    pnh_->param("cval", cval_, 0);
    pub_image_ = advertise<sensor_msgs::Image>(
      *pnh_, "output", 1);
    pub_mask_ = advertise<sensor_msgs::Image>(
      *pnh_, "output/mask", 1);
    pub_camera_info_ = advertise<sensor_msgs::CameraInfo>(
      *pnh_, "output/camera_info", 1);
    onInitPostProcess();
  }

  void ApplyMaskImage::subscribe()
  {
    sub_image_.subscribe(*pnh_, "input", 1);
    sub_mask_.subscribe(*pnh_, "input/mask", 1);
    sub_info_ = pnh_->subscribe("input/camera_info", 1,
                                &ApplyMaskImage::infoCallback, this);
    if (approximate_sync_) {
      async_ = boost::make_shared<message_filters::Synchronizer<ApproximateSyncPolicy> >(queue_size_);
      async_->connectInput(sub_image_, sub_mask_);
      async_->registerCallback(boost::bind(&ApplyMaskImage::apply, this, _1, _2));
    }
    else {
      sync_ = boost::make_shared<message_filters::Synchronizer<SyncPolicy> >(queue_size_);
      sync_->connectInput(sub_image_, sub_mask_);
      sync_->registerCallback(boost::bind(&ApplyMaskImage::apply, this, _1, _2));
    }
    ros::V_string names = boost::assign::list_of("~input")("~input/mask");
    jsk_topic_tools::warnNoRemap(names);
  }

  void ApplyMaskImage::unsubscribe()
  {
    sub_image_.unsubscribe();
    sub_mask_.unsubscribe();
  }

  void ApplyMaskImage::infoCallback(
    const sensor_msgs::CameraInfo::ConstPtr& info_msg)
  {
    boost::mutex::scoped_lock lock(mutex_);
    camera_info_ = info_msg;
  }

  void ApplyMaskImage::apply(
    const sensor_msgs::Image::ConstPtr& image_msg,
    const sensor_msgs::Image::ConstPtr& mask_msg)
  {
    vital_checker_->poke();
    cv::Mat image;
    if (jsk_recognition_utils::isBGRA(image_msg->encoding)) {
      cv::Mat tmp_image = cv_bridge::toCvShare(image_msg, image_msg->encoding)->image;
      cv::cvtColor(tmp_image, image, cv::COLOR_BGRA2BGR);
    }
    else if (jsk_recognition_utils::isRGBA(image_msg->encoding)) {
      cv::Mat tmp_image = cv_bridge::toCvShare(image_msg, image_msg->encoding)->image;
      cv::cvtColor(tmp_image, image, cv::COLOR_RGBA2BGR);
    }
    else {  // BGR, RGB or GRAY
      image = cv_bridge::toCvShare(image_msg, image_msg->encoding)->image;
    }
    cv::Mat mask = cv_bridge::toCvShare(mask_msg, "mono8")->image;
    if (image.cols != mask.cols || image.rows != mask.rows) {
      NODELET_ERROR("size of image and mask is different");
      NODELET_ERROR("image: %dx%dx", image.cols, image.rows);
      NODELET_ERROR("mask: %dx%dx", mask.cols, mask.rows);
      return;
    }

    if (negative_ && negative_before_clip_) {
      cv::bitwise_not(mask, mask);
    }

    cv::Rect region = jsk_recognition_utils::boundingRectOfMaskImage(mask);
    if (camera_info_) {
      sensor_msgs::CameraInfo camera_info(*camera_info_);
      camera_info.header = image_msg->header;
      camera_info.roi.x_offset = region.x;
      camera_info.roi.y_offset = region.y;
      camera_info.roi.width = region.width;
      camera_info.roi.height = region.height;
      camera_info.roi.do_rectify = use_rectified_image_;
      pub_camera_info_.publish(camera_info);
    }
    if (clip_) {
      mask = mask(region);
      image = image(region);
    }

    if (negative_ && !negative_before_clip_) {
      cv::bitwise_not(mask, mask);
    }

    pub_mask_.publish(cv_bridge::CvImage(
                        mask_msg->header,
                        "mono8",
                        mask).toImageMsg());

    cv::Mat masked_image = image.clone();  // should have the same dtype
    masked_image.setTo(cval_);
    image.copyTo(masked_image, mask);

    cv::Mat output_image;
    if (mask_black_to_transparent_) {
      if (sensor_msgs::image_encodings::isMono(image_msg->encoding)) {
        cv::cvtColor(masked_image, output_image, CV_GRAY2BGRA);
      }
      else if (jsk_recognition_utils::isRGB(image_msg->encoding)) {
        cv::cvtColor(masked_image, output_image, CV_RGB2BGRA);
      }
      else {  // BGR, BGRA or RGBA
        cv::cvtColor(masked_image, output_image, CV_BGR2BGRA);
      }
      for (size_t j=0; j < mask.rows; j++) {
        for (int i=0; i < mask.cols; i++) {
          if (mask.at<uchar>(j, i) == 0) {
            cv::Vec4b color = output_image.at<cv::Vec4b>(j, i);
            color[3] = 0;  // mask black -> transparent
            output_image.at<cv::Vec4b>(j, i) = color;
          }
        }
      }
      // publish bgr8 image
      pub_image_.publish(cv_bridge::CvImage(
            image_msg->header,
            sensor_msgs::image_encodings::BGRA8,
            output_image).toImageMsg());
    }
    else {
      if (jsk_recognition_utils::isBGRA(image_msg->encoding)) {
        cv::cvtColor(masked_image, output_image, cv::COLOR_BGR2BGRA);
      }
      else if (jsk_recognition_utils::isRGBA(image_msg->encoding)) {
        cv::cvtColor(masked_image, output_image, cv::COLOR_BGR2RGBA);
      }
      else {  // BGR, RGB or GRAY
        masked_image.copyTo(output_image);
      }
      pub_image_.publish(cv_bridge::CvImage(
            image_msg->header,
            image_msg->encoding,
            output_image).toImageMsg());
    }
  }
}

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