filter.cpp

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 * $Id: filter.cpp 35876 2011-02-09 01:04:36Z rusu $
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 */

#include <pcl/io/io.h>
#include "pcl_ros/transforms.h"
#include "pcl_ros/filters/filter.h"

/*//#include <pcl/filters/pixel_grid.h>
//#include <pcl/filters/filter_dimension.h>
*/

/*//typedef pcl::PixelGrid PixelGrid;
//typedef pcl::FilterDimension FilterDimension;
*/

// Include the implementations instead of compiling them separately to speed up compile time
//#include "extract_indices.cpp"
//#include "passthrough.cpp"
//#include "project_inliers.cpp"
//#include "radius_outlier_removal.cpp"
//#include "statistical_outlier_removal.cpp"
//#include "voxel_grid.cpp"

/*//PLUGINLIB_EXPORT_CLASS(PixelGrid,nodelet::Nodelet);
//PLUGINLIB_EXPORT_CLASS(FilterDimension,nodelet::Nodelet);
*/

void
pcl_ros::Filter::computePublish (const PointCloud2::ConstPtr &input, const IndicesPtr &indices)
{
  PointCloud2 output;
  // Call the virtual method in the child
  filter (input, indices, output);

  PointCloud2::Ptr cloud_tf (new PointCloud2 (output));   // set the output by default
  // Check whether the user has given a different output TF frame
  if (!tf_output_frame_.empty () && output.header.frame_id != tf_output_frame_)
  {
    NODELET_DEBUG ("[%s::computePublish] Transforming output dataset from %s to %s.", getName ().c_str (), output.header.frame_id.c_str (), tf_output_frame_.c_str ());
    // Convert the cloud into the different frame
    PointCloud2 cloud_transformed;
    if (!pcl_ros::transformPointCloud (tf_output_frame_, output, cloud_transformed, tf_listener_))
    {
      NODELET_ERROR ("[%s::computePublish] Error converting output dataset from %s to %s.", getName ().c_str (), output.header.frame_id.c_str (), tf_output_frame_.c_str ());
      return;
    }
    cloud_tf.reset (new PointCloud2 (cloud_transformed));
  }
  if (tf_output_frame_.empty () && output.header.frame_id != tf_input_orig_frame_)
  // no tf_output_frame given, transform the dataset to its original frame
  {
    NODELET_DEBUG ("[%s::computePublish] Transforming output dataset from %s back to %s.", getName ().c_str (), output.header.frame_id.c_str (), tf_input_orig_frame_.c_str ());
    // Convert the cloud into the different frame
    PointCloud2 cloud_transformed;
    if (!pcl_ros::transformPointCloud (tf_input_orig_frame_, output, cloud_transformed, tf_listener_))
    {
      NODELET_ERROR ("[%s::computePublish] Error converting output dataset from %s back to %s.", getName ().c_str (), output.header.frame_id.c_str (), tf_input_orig_frame_.c_str ());
      return;
    }
    cloud_tf.reset (new PointCloud2 (cloud_transformed));
  }

  // Copy timestamp to keep it
  cloud_tf->header.stamp = input->header.stamp;

  // Publish a boost shared ptr
  pub_output_.publish (cloud_tf);
}

void
pcl_ros::Filter::subscribe()
{
  // If we're supposed to look for PointIndices (indices)
  if (use_indices_)
  {
    // Subscribe to the input using a filter
    sub_input_filter_.subscribe (*pnh_, "input", max_queue_size_);
    sub_indices_filter_.subscribe (*pnh_, "indices", max_queue_size_);

    if (approximate_sync_)
    {
      sync_input_indices_a_ = boost::make_shared <message_filters::Synchronizer<sync_policies::ApproximateTime<PointCloud2, pcl_msgs::PointIndices> > >(max_queue_size_);
      sync_input_indices_a_->connectInput (sub_input_filter_, sub_indices_filter_);
      sync_input_indices_a_->registerCallback (bind (&Filter::input_indices_callback, this, _1, _2));
    }
    else
    {
      sync_input_indices_e_ = boost::make_shared <message_filters::Synchronizer<sync_policies::ExactTime<PointCloud2, pcl_msgs::PointIndices> > >(max_queue_size_);
      sync_input_indices_e_->connectInput (sub_input_filter_, sub_indices_filter_);
      sync_input_indices_e_->registerCallback (bind (&Filter::input_indices_callback, this, _1, _2));
    }
  }
  else
    // Subscribe in an old fashion to input only (no filters)
    sub_input_ = pnh_->subscribe<sensor_msgs::PointCloud2> ("input", max_queue_size_,  bind (&Filter::input_indices_callback, this, _1, pcl_msgs::PointIndicesConstPtr ()));
}

void
pcl_ros::Filter::unsubscribe()
{
  if (use_indices_)
  {
    sub_input_filter_.unsubscribe();
    sub_indices_filter_.unsubscribe();
  }
  else
    sub_input_.shutdown();
}

void
pcl_ros::Filter::onInit ()
{
  // Call the super onInit ()
  PCLNodelet::onInit ();

  // Call the child's local init
  bool has_service = false;
  if (!child_init (*pnh_, has_service))
  {
    NODELET_ERROR ("[%s::onInit] Initialization failed.", getName ().c_str ());
    return;
  }

  pub_output_ = advertise<PointCloud2> (*pnh_, "output", max_queue_size_);

  // Enable the dynamic reconfigure service
  if (!has_service)
  {
    srv_ = boost::make_shared <dynamic_reconfigure::Server<pcl_ros::FilterConfig> > (*pnh_);
    dynamic_reconfigure::Server<pcl_ros::FilterConfig>::CallbackType f =  boost::bind (&Filter::config_callback, this, _1, _2);
    srv_->setCallback (f);
  }

  NODELET_DEBUG ("[%s::onInit] Nodelet successfully created.", getName ().c_str ());
}

void
pcl_ros::Filter::config_callback (pcl_ros::FilterConfig &config, uint32_t level)
{
  // The following parameters are updated automatically for all PCL_ROS Nodelet Filters as they are inexistent in PCL
  if (tf_input_frame_ != config.input_frame)
  {
    tf_input_frame_ = config.input_frame;
    NODELET_DEBUG ("[%s::config_callback] Setting the input TF frame to: %s.", getName ().c_str (), tf_input_frame_.c_str ());
  }
  if (tf_output_frame_ != config.output_frame)
  {
    tf_output_frame_ = config.output_frame;
    NODELET_DEBUG ("[%s::config_callback] Setting the output TF frame to: %s.", getName ().c_str (), tf_output_frame_.c_str ());
  }
}

void
pcl_ros::Filter::input_indices_callback (const PointCloud2::ConstPtr &cloud, const PointIndicesConstPtr &indices)
{
  // If cloud is given, check if it's valid
  if (!isValid (cloud))
  {
    NODELET_ERROR ("[%s::input_indices_callback] Invalid input!", getName ().c_str ());
    return;
  }
  // If indices are given, check if they are valid
  if (indices && !isValid (indices))
  {
    NODELET_ERROR ("[%s::input_indices_callback] Invalid indices!", getName ().c_str ());
    return;
  }

  if (indices)
    NODELET_DEBUG ("[%s::input_indices_callback]\n"
                   "                                 - PointCloud with %d data points (%s), stamp %f, and frame %s on topic %s received.\n"
                   "                                 - PointIndices with %zu values, stamp %f, and frame %s on topic %s received.",
                   getName ().c_str (), 
                   cloud->width * cloud->height, pcl::getFieldsList (*cloud).c_str (), cloud->header.stamp.toSec (), cloud->header.frame_id.c_str (), pnh_->resolveName ("input").c_str (),
                   indices->indices.size (), indices->header.stamp.toSec (), indices->header.frame_id.c_str (), pnh_->resolveName ("indices").c_str ());
  else
    NODELET_DEBUG ("[%s::input_indices_callback] PointCloud with %d data points and frame %s on topic %s received.", getName ().c_str (), cloud->width * cloud->height, cloud->header.frame_id.c_str (), pnh_->resolveName ("input").c_str ());

  // Check whether the user has given a different input TF frame
  tf_input_orig_frame_ = cloud->header.frame_id;
  PointCloud2::ConstPtr cloud_tf;
  if (!tf_input_frame_.empty () && cloud->header.frame_id != tf_input_frame_)
  {
    NODELET_DEBUG ("[%s::input_indices_callback] Transforming input dataset from %s to %s.", getName ().c_str (), cloud->header.frame_id.c_str (), tf_input_frame_.c_str ());
    // Save the original frame ID
    // Convert the cloud into the different frame
    PointCloud2 cloud_transformed;
    if (!pcl_ros::transformPointCloud (tf_input_frame_, *cloud, cloud_transformed, tf_listener_))
    {
      NODELET_ERROR ("[%s::input_indices_callback] Error converting input dataset from %s to %s.", getName ().c_str (), cloud->header.frame_id.c_str (), tf_input_frame_.c_str ());
      return;
    }
    cloud_tf = boost::make_shared<PointCloud2> (cloud_transformed);
  }
  else
    cloud_tf = cloud;

  // Need setInputCloud () here because we have to extract x/y/z
  IndicesPtr vindices;
  if (indices)
    vindices.reset (new std::vector<int> (indices->indices));

  computePublish (cloud_tf, vindices);
}