point_cloud2.cpp

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#include <boost/version.hpp>
#if ((BOOST_VERSION / 100) % 1000) >= 53
#include <boost/thread/lock_guard.hpp>
#endif
 
#include <ros/ros.h>
#include <nodelet/nodelet.h>
#include <image_transport/image_transport.h>
#include <image_transport/subscriber_filter.h>
#include <message_filters/subscriber.h>
#include <message_filters/synchronizer.h>
#include <message_filters/sync_policies/exact_time.h>
#include <message_filters/sync_policies/approximate_time.h>
#include <image_geometry/stereo_camera_model.h>
 
#include <stereo_msgs/DisparityImage.h>
#include <sensor_msgs/PointCloud2.h>
#include <sensor_msgs/image_encodings.h>
#include <sensor_msgs/point_cloud2_iterator.h>
 
namespace stereo_image_proc {
 
using namespace sensor_msgs;
using namespace stereo_msgs;
using namespace message_filters::sync_policies;
 
class PointCloud2Nodelet : public nodelet::Nodelet
{
  boost::shared_ptr<image_transport::ImageTransport> it_;
 
  // Subscriptions
  image_transport::SubscriberFilter sub_l_image_;
  message_filters::Subscriber<CameraInfo> sub_l_info_, sub_r_info_;
  message_filters::Subscriber<DisparityImage> sub_disparity_;
  typedef ExactTime<Image, CameraInfo, CameraInfo, DisparityImage> ExactPolicy;
  typedef ApproximateTime<Image, CameraInfo, CameraInfo, DisparityImage> ApproximatePolicy;
  typedef message_filters::Synchronizer<ExactPolicy> ExactSync;
  typedef message_filters::Synchronizer<ApproximatePolicy> ApproximateSync;
  boost::shared_ptr<ExactSync> exact_sync_;
  boost::shared_ptr<ApproximateSync> approximate_sync_;
 
  // Publications
  boost::mutex connect_mutex_;
  ros::Publisher pub_points2_;
 
  // Processing state (note: only safe because we're single-threaded!)
  image_geometry::StereoCameraModel model_;
  cv::Mat_<cv::Vec3f> points_mat_; // scratch buffer
  
  virtual void onInit();
 
  void connectCb();
 
  void imageCb(const ImageConstPtr& l_image_msg,
               const CameraInfoConstPtr& l_info_msg,
               const CameraInfoConstPtr& r_info_msg,
               const DisparityImageConstPtr& disp_msg);
};
 
void PointCloud2Nodelet::onInit()
{
  ros::NodeHandle &nh = getNodeHandle();
  ros::NodeHandle &private_nh = getPrivateNodeHandle();
  it_.reset(new image_transport::ImageTransport(nh));
 
  // Synchronize inputs. Topic subscriptions happen on demand in the connection
  // callback. Optionally do approximate synchronization.
  int queue_size;
  private_nh.param("queue_size", queue_size, 5);
  bool approx;
  private_nh.param("approximate_sync", approx, false);
  if (approx)
  {
    approximate_sync_.reset( new ApproximateSync(ApproximatePolicy(queue_size),
                                                 sub_l_image_, sub_l_info_,
                                                 sub_r_info_, sub_disparity_) );
    approximate_sync_->registerCallback(boost::bind(&PointCloud2Nodelet::imageCb,
                                                    this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
  }
  else
  {
    exact_sync_.reset( new ExactSync(ExactPolicy(queue_size),
                                     sub_l_image_, sub_l_info_,
                                     sub_r_info_, sub_disparity_) );
    exact_sync_->registerCallback(boost::bind(&PointCloud2Nodelet::imageCb,
                                              this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
  }
 
  // Monitor whether anyone is subscribed to the output
  ros::SubscriberStatusCallback connect_cb = boost::bind(&PointCloud2Nodelet::connectCb, this);
  // Make sure we don't enter connectCb() between advertising and assigning to pub_points2_
  boost::lock_guard<boost::mutex> lock(connect_mutex_);
  pub_points2_  = nh.advertise<PointCloud2>("points2",  1, connect_cb, connect_cb);
}
 
// Handles (un)subscribing when clients (un)subscribe
void PointCloud2Nodelet::connectCb()
{
  boost::lock_guard<boost::mutex> lock(connect_mutex_);
  if (pub_points2_.getNumSubscribers() == 0)
  {
    sub_l_image_  .unsubscribe();
    sub_l_info_   .unsubscribe();
    sub_r_info_   .unsubscribe();
    sub_disparity_.unsubscribe();
  }
  else if (!sub_l_image_.getSubscriber())
  {
    ros::NodeHandle &nh = getNodeHandle();
    // Queue size 1 should be OK; the one that matters is the synchronizer queue size.
    image_transport::TransportHints hints("raw", ros::TransportHints(), getPrivateNodeHandle());
    sub_l_image_  .subscribe(*it_, "left/image_rect_color", 1, hints);
    sub_l_info_   .subscribe(nh,   "left/camera_info", 1);
    sub_r_info_   .subscribe(nh,   "right/camera_info", 1);
    sub_disparity_.subscribe(nh,   "disparity", 1);
  }
}
 
inline bool isValidPoint(const cv::Vec3f& pt)
{
  // Check both for disparities explicitly marked as invalid (where OpenCV maps pt.z to MISSING_Z)
  // and zero disparities (point mapped to infinity).
  return pt[2] != image_geometry::StereoCameraModel::MISSING_Z && !std::isinf(pt[2]);
}
 
void PointCloud2Nodelet::imageCb(const ImageConstPtr& l_image_msg,
                                 const CameraInfoConstPtr& l_info_msg,
                                 const CameraInfoConstPtr& r_info_msg,
                                 const DisparityImageConstPtr& disp_msg)
{
  // Update the camera model
  model_.fromCameraInfo(l_info_msg, r_info_msg);
 
  // Calculate point cloud
  const Image& dimage = disp_msg->image;
  const cv::Mat_<float> dmat(dimage.height, dimage.width, (float*)&dimage.data[0], dimage.step);
  model_.projectDisparityImageTo3d(dmat, points_mat_, true);
  cv::Mat_<cv::Vec3f> mat = points_mat_;
 
  // Fill in new PointCloud2 message (2D image-like layout)
  PointCloud2Ptr points_msg = boost::make_shared<PointCloud2>();
  points_msg->header = disp_msg->header;
  points_msg->height = mat.rows;
  points_msg->width  = mat.cols;
  points_msg->is_bigendian = false;
  points_msg->is_dense = false; // there may be invalid points
 
  sensor_msgs::PointCloud2Modifier pcd_modifier(*points_msg);
  pcd_modifier.setPointCloud2FieldsByString(2, "xyz", "rgb");
 
  sensor_msgs::PointCloud2Iterator<float> iter_x(*points_msg, "x");
  sensor_msgs::PointCloud2Iterator<float> iter_y(*points_msg, "y");
  sensor_msgs::PointCloud2Iterator<float> iter_z(*points_msg, "z");
  sensor_msgs::PointCloud2Iterator<uint8_t> iter_r(*points_msg, "r");
  sensor_msgs::PointCloud2Iterator<uint8_t> iter_g(*points_msg, "g");
  sensor_msgs::PointCloud2Iterator<uint8_t> iter_b(*points_msg, "b");
 
  float bad_point = std::numeric_limits<float>::quiet_NaN ();
  for (int v = 0; v < mat.rows; ++v)
  {
    for (int u = 0; u < mat.cols; ++u, ++iter_x, ++iter_y, ++iter_z)
    {
      if (isValidPoint(mat(v,u)))
      {
        // x,y,z
        *iter_x = mat(v, u)[0];
        *iter_y = mat(v, u)[1];
        *iter_z = mat(v, u)[2];
      }
      else
      {
        *iter_x = *iter_y = *iter_z = bad_point;
      }
    }
  }
 
  // Fill in color
  namespace enc = sensor_msgs::image_encodings;
  const std::string& encoding = l_image_msg->encoding;
  if (encoding == enc::MONO8)
  {
    const cv::Mat_<uint8_t> color(l_image_msg->height, l_image_msg->width,
                                  (uint8_t*)&l_image_msg->data[0],
                                  l_image_msg->step);
    for (int v = 0; v < mat.rows; ++v)
    {
      for (int u = 0; u < mat.cols; ++u, ++iter_r, ++iter_g, ++iter_b)
      {
        uint8_t g = color(v,u);
        *iter_r = *iter_g = *iter_b = g;
      }
    }
  }
  else if (encoding == enc::RGB8)
  {
    const cv::Mat_<cv::Vec3b> color(l_image_msg->height, l_image_msg->width,
                                    (cv::Vec3b*)&l_image_msg->data[0],
                                    l_image_msg->step);
    for (int v = 0; v < mat.rows; ++v)
    {
      for (int u = 0; u < mat.cols; ++u, ++iter_r, ++iter_g, ++iter_b)
      {
        const cv::Vec3b& rgb = color(v,u);
        *iter_r = rgb[0];
        *iter_g = rgb[1];
        *iter_b = rgb[2];
      }
    }
  }
  else if (encoding == enc::RGBA8)
  {
    const cv::Mat_<cv::Vec4b> color(l_image_msg->height, l_image_msg->width,
                                    (cv::Vec4b*)&l_image_msg->data[0],
                                    l_image_msg->step);
    for (int v = 0; v < mat.rows; ++v)
    {
      for (int u = 0; u < mat.cols; ++u, ++iter_r, ++iter_g, ++iter_b)
      {
        const cv::Vec4b& rgba = color(v,u);
        *iter_r = rgba[0];
        *iter_g = rgba[1];
        *iter_b = rgba[2];
      }
    }
  }
  else if (encoding == enc::BGR8)
  {
    const cv::Mat_<cv::Vec3b> color(l_image_msg->height, l_image_msg->width,
                                    (cv::Vec3b*)&l_image_msg->data[0],
                                    l_image_msg->step);
    for (int v = 0; v < mat.rows; ++v)
    {
      for (int u = 0; u < mat.cols; ++u, ++iter_r, ++iter_g, ++iter_b)
      {
        const cv::Vec3b& bgr = color(v,u);
        *iter_r = bgr[2];
        *iter_g = bgr[1];
        *iter_b = bgr[0];
      }
    }
  }
  else if (encoding == enc::BGRA8)
  {
    const cv::Mat_<cv::Vec4b> color(l_image_msg->height, l_image_msg->width,
                                    (cv::Vec4b*)&l_image_msg->data[0],
                                    l_image_msg->step);
    for (int v = 0; v < mat.rows; ++v)
    {
      for (int u = 0; u < mat.cols; ++u, ++iter_r, ++iter_g, ++iter_b)
      {
        const cv::Vec4b& bgra = color(v,u);
        *iter_r = bgra[2];
        *iter_g = bgra[1];
        *iter_b = bgra[0];
      }
    }
  }
  else
  {
    NODELET_WARN_THROTTLE(30, "Could not fill color channel of the point cloud, "
                          "unsupported encoding '%s'", encoding.c_str());
  }
 
  pub_points2_.publish(points_msg);
}
 
} // namespace stereo_image_proc
 
// Register nodelet
#include <pluginlib/class_list_macros.hpp>
PLUGINLIB_EXPORT_CLASS(stereo_image_proc::PointCloud2Nodelet,nodelet::Nodelet)