build_object_model.cpp

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#include "object_recognition.h"

#include <string>
#include <sstream>
#include <iostream>
#include <pcl/console/parse.h>
#include <pcl/io/pcd_io.h>
#include <pcl/visualization/pcl_visualizer.h>

int 
main (int argc, char ** argv)
{
  if (argc < 3) 
  {
    pcl::console::print_info ("Syntax is: %s input.pcd output <options>\n", argv[0]);
    pcl::console::print_info ("  where options are:\n");
    pcl::console::print_info ("    --filter parameters.txt ............ Threshold, downsample, and denoise\n");
    pcl::console::print_info ("    --segment parameters.txt  .......... Remove dominant plane and cluster\n");
    pcl::console::print_info ("    --feature parameters.txt ........... Compute normals, keypoints, and descriptors\n");
    pcl::console::print_info ("    --registration parameters.txt ...... Align best fitting model to query\n");
    pcl::console::print_info ("  and where the parameters files must contain the following values (one per line):\n");
    pcl::console::print_info ("    filter parameters:\n");
    pcl::console::print_info ("      * min_depth\n");
    pcl::console::print_info ("      * max_depth\n");
    pcl::console::print_info ("      * downsample_leaf_size\n");
    pcl::console::print_info ("      * outlier_rejection_radius\n");
    pcl::console::print_info ("      * outlier_rejection_min_neighbors\n");
    pcl::console::print_info ("    segmentation parameters:\n");
    pcl::console::print_info ("      * plane_inlier_distance_threshold\n");
    pcl::console::print_info ("      * max_ransac_iterations\n");
    pcl::console::print_info ("      * cluster_tolerance\n");
    pcl::console::print_info ("      * min_cluster_size\n");
    pcl::console::print_info ("      * max_cluster_size\n");
    pcl::console::print_info ("    feature estimation parameters:\n");
    pcl::console::print_info ("      * surface_normal_radius\n");
    pcl::console::print_info ("      * keypoints_min_scale\n");
    pcl::console::print_info ("      * keypoints_nr_octaves\n");
    pcl::console::print_info ("      * keypoints_nr_scales_per_octave\n");
    pcl::console::print_info ("      * keypoints_min_contrast\n");
    pcl::console::print_info ("      * local_descriptor_radius\n");
    pcl::console::print_info ("    registration parameters:\n");
    pcl::console::print_info ("      * initial_alignment_min_sample_distance\n");
    pcl::console::print_info ("      * initial_alignment_max_correspondence_distance\n");
    pcl::console::print_info ("      * initial_alignment_nr_iterations\n");
    pcl::console::print_info ("      * icp_max_correspondence_distance\n");
    pcl::console::print_info ("      * icp_rejection_threshold\n");
    pcl::console::print_info ("      * icp_transformation_epsilon\n");
    pcl::console::print_info ("      * icp_max_iterations\n");
    pcl::console::print_info ("Note: The output's base filename must be specified without the .pcd extension\n");
    pcl::console::print_info ("      Four output files will be created with the following suffixes:\n");
    pcl::console::print_info ("        * '_points.pcd'\n");
    pcl::console::print_info ("        * '_keypoints.pcd'\n");
    pcl::console::print_info ("        * '_localdesc.pcd'\n");
    pcl::console::print_info ("        * '_globaldesc.pcd'\n");

    return (1);
  }

  // Load input file
  PointCloudPtr input (new PointCloud);
  pcl::io::loadPCDFile (argv[1], *input);
  pcl::console::print_info ("Loaded %s (%zu points)\n", argv[1], input->size ());    
  
  ObjectRecognitionParameters params;
  ifstream params_stream;

  //Parse filter parameters
  std::string filter_parameters_file;
  pcl::console::parse_argument (argc, argv, "--filter", filter_parameters_file) > 0;    
  params_stream.open (filter_parameters_file.c_str ());
  if (params_stream.is_open())
  {
    params_stream >> params.min_depth;
    params_stream >> params.max_depth;
    params_stream >> params.downsample_leaf_size;
    params_stream >> params.outlier_rejection_radius;
    params_stream >> params.outlier_rejection_min_neighbors;
    params_stream.close ();
  }
  else
  {
    pcl::console::print_info ("Failed to open the filter parameters file (%s)\n", filter_parameters_file.c_str ());
    return (1);
  }  
  
  // Parse segmentation parameters
  std::string segmentation_parameters_file;
  pcl::console::parse_argument (argc, argv, "--segment", segmentation_parameters_file) > 0;    
  params_stream.open (segmentation_parameters_file.c_str ());
  if (params_stream.is_open())
  {
    params_stream >> params.plane_inlier_distance_threshold;
    params_stream >> params.max_ransac_iterations;
    params_stream >> params.cluster_tolerance;
    params_stream >> params.min_cluster_size;
    params_stream >> params.max_cluster_size;
    params_stream.close ();
  }
  else
  {
    pcl::console::print_info ("Failed to open the segmentation parameters file (%s)\n", 
                              segmentation_parameters_file.c_str ());
    return (1);
  }

  // Parse feature estimation parameters
  std::string feature_estimation_parameters_file;
  pcl::console::parse_argument (argc, argv, "--feature", feature_estimation_parameters_file) > 0;    
  params_stream.open (feature_estimation_parameters_file.c_str ());
  if (params_stream.is_open())
  {
    params_stream >> params.surface_normal_radius;
    params_stream >> params.keypoints_min_scale;
    params_stream >> params.keypoints_nr_octaves;
    params_stream >> params.keypoints_nr_scales_per_octave;
    params_stream >> params.keypoints_min_contrast;
    params_stream >> params.local_descriptor_radius;
    params_stream.close ();
  }
  else
  {
    pcl::console::print_info ("Failed to open the feature estimation parameters file (%s)\n", 
                              feature_estimation_parameters_file.c_str ());
    return (1);
  }

  // Parse the registration parameters
  std::string registration_parameters_file;
  pcl::console::parse_argument (argc, argv, "--registration", registration_parameters_file) > 0;    
  params_stream.open (registration_parameters_file.c_str ());
  if (params_stream.is_open())
  {
    params_stream >> params.initial_alignment_min_sample_distance;
    params_stream >> params.initial_alignment_max_correspondence_distance;
    params_stream >> params.initial_alignment_nr_iterations;
    params_stream >> params.icp_max_correspondence_distance;
    params_stream >> params.icp_outlier_rejection_threshold;
    params_stream >> params.icp_transformation_epsilon;
    params_stream >> params.icp_max_iterations;
    params_stream.close ();
  }
  else
  {
    pcl::console::print_info ("Failed to open the registration parameters file (%s)\n", 
                              registration_parameters_file.c_str ());
    return (1);
  }

  // Construct the object model
  ObjectRecognition obj_rec (params);
  ObjectModel model;
  obj_rec.constructObjectModel (input, model);

  // Save the model files
  std::string base_filename (argv[2]), output_filename;

  output_filename = base_filename;
  output_filename.append ("_points.pcd");
  pcl::io::savePCDFile (output_filename, *(model.points));
  pcl::console::print_info ("Saved points as %s\n", output_filename.c_str ());

  output_filename = base_filename;
  output_filename.append ("_keypoints.pcd");
  pcl::io::savePCDFile (output_filename, *(model.keypoints));
  pcl::console::print_info ("Saved keypoints as %s\n", output_filename.c_str ());
  
  output_filename = base_filename;
  output_filename.append ("_localdesc.pcd");
  pcl::io::savePCDFile (output_filename, *(model.local_descriptors));
  pcl::console::print_info ("Saved local descriptors as %s\n", output_filename.c_str ());
  
  output_filename = base_filename;
  output_filename.append ("_globaldesc.pcd");
  pcl::io::savePCDFile (output_filename, *(model.global_descriptor));
  pcl::console::print_info ("Saved global descriptor as %s\n", output_filename.c_str ());

  return (0); 
}