# -*- coding: utf-8 -*-
# Clustering of Pointclouds into Supervoxels - Theoretical primer
# http://pointclouds.org/documentation/tutorials/supervoxel_clustering.php#supervoxel-clustering

import pcl

# //VTK include needed for drawing graph lines
# #include <vtkPolyLine.h>
# 
# // Types
# typedef pcl::PointXYZRGBA PointT;
# typedef pcl::PointCloud<PointT> PointCloudT;
# typedef pcl::PointNormal PointNT;
# typedef pcl::PointCloud<PointNT> PointNCloudT;
# typedef pcl::PointXYZL PointLT;
# typedef pcl::PointCloud<PointLT> PointLCloudT;
# 
# void addSupervoxelConnectionsToViewer (PointT &supervoxel_center,
#                                        PointCloudT &adjacent_supervoxel_centers,
#                                        std::string supervoxel_name,
#                                        boost::shared_ptr<pcl::visualization::PCLVisualizer> & viewer);
# 
# 
# int
# main (int argc, char ** argv)
# {
#   if (argc < 2)
#   {
#     pcl::console::print_error ("Syntax is: %s <pcd-file> \n "
#                                 "--NT Dsables the single cloud transform \n"
#                                 "-v <voxel resolution>\n-s <seed resolution>\n"
#                                 "-c <color weight> \n-z <spatial weight> \n"
#                                 "-n <normal_weight>\n", argv[0]);
#     return (1);
#   }
# 
# 
#   PointCloudT::Ptr cloud = boost::shared_ptr <PointCloudT> (new PointCloudT ());
#   pcl::console::print_highlight ("Loading point cloud...\n");
#   if (pcl::io::loadPCDFile<PointT> (argv[1], *cloud))
#   {
#     pcl::console::print_error ("Error loading cloud file!\n");
#     return (1);
#   }
# 
# 
#   bool disable_transform = pcl::console::find_switch (argc, argv, "--NT");
# 
#   float voxel_resolution = 0.008f;
#   bool voxel_res_specified = pcl::console::find_switch (argc, argv, "-v");
#   if (voxel_res_specified)
#     pcl::console::parse (argc, argv, "-v", voxel_resolution);
# 
#   float seed_resolution = 0.1f;
#   bool seed_res_specified = pcl::console::find_switch (argc, argv, "-s");
#   if (seed_res_specified)
#     pcl::console::parse (argc, argv, "-s", seed_resolution);
# 
#   float color_importance = 0.2f;
#   if (pcl::console::find_switch (argc, argv, "-c"))
#     pcl::console::parse (argc, argv, "-c", color_importance);
# 
#   float spatial_importance = 0.4f;
#   if (pcl::console::find_switch (argc, argv, "-z"))
#     pcl::console::parse (argc, argv, "-z", spatial_importance);
# 
#   float normal_importance = 1.0f;
#   if (pcl::console::find_switch (argc, argv, "-n"))
#     pcl::console::parse (argc, argv, "-n", normal_importance);
# 
#   //////////////////////////////  //////////////////////////////
#   ////// This is how to use supervoxels
#   //////////////////////////////  //////////////////////////////
# 
#   pcl::SupervoxelClustering<PointT> super (voxel_resolution, seed_resolution);
#   if (disable_transform)
#     super.setUseSingleCameraTransform (false);
#   super.setInputCloud (cloud);
#   super.setColorImportance (color_importance);
#   super.setSpatialImportance (spatial_importance);
#   super.setNormalImportance (normal_importance);
# 
#   std::map <uint32_t, pcl::Supervoxel<PointT>::Ptr > supervoxel_clusters;
# 
#   pcl::console::print_highlight ("Extracting supervoxels!\n");
#   super.extract (supervoxel_clusters);
#   pcl::console::print_info ("Found %d supervoxels\n", supervoxel_clusters.size ());
# 
#   boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer (new pcl::visualization::PCLVisualizer ("3D Viewer"));
#   viewer->setBackgroundColor (0, 0, 0);
# 
#   PointCloudT::Ptr voxel_centroid_cloud = super.getVoxelCentroidCloud ();
#   viewer->addPointCloud (voxel_centroid_cloud, "voxel centroids");
#   viewer->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE,2.0, "voxel centroids");
#   viewer->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_OPACITY,0.95, "voxel centroids");
# 
#   PointLCloudT::Ptr labeled_voxel_cloud = super.getLabeledVoxelCloud ();
#   viewer->addPointCloud (labeled_voxel_cloud, "labeled voxels");
#   viewer->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_OPACITY,0.8, "labeled voxels");
# 
#   PointNCloudT::Ptr sv_normal_cloud = super.makeSupervoxelNormalCloud (supervoxel_clusters);
#   //We have this disabled so graph is easy to see, uncomment to see supervoxel normals
#   //viewer->addPointCloudNormals<PointNormal> (sv_normal_cloud,1,0.05f, "supervoxel_normals");
# 
#   pcl::console::print_highlight ("Getting supervoxel adjacency\n");
#   std::multimap<uint32_t, uint32_t> supervoxel_adjacency;
#   super.getSupervoxelAdjacency (supervoxel_adjacency);
#   //To make a graph of the supervoxel adjacency, we need to iterate through the supervoxel adjacency multimap
#   std::multimap<uint32_t,uint32_t>::iterator label_itr = supervoxel_adjacency.begin ();
#   for ( ; label_itr != supervoxel_adjacency.end (); )
#   {
#     //First get the label
#     uint32_t supervoxel_label = label_itr->first;
#     //Now get the supervoxel corresponding to the label
#     pcl::Supervoxel<PointT>::Ptr supervoxel = supervoxel_clusters.at (supervoxel_label);
# 
#     //Now we need to iterate through the adjacent supervoxels and make a point cloud of them
#     PointCloudT adjacent_supervoxel_centers;
#     std::multimap<uint32_t,uint32_t>::iterator adjacent_itr = supervoxel_adjacency.equal_range (supervoxel_label).first;
#     for ( ; adjacent_itr!=supervoxel_adjacency.equal_range (supervoxel_label).second; ++adjacent_itr)
#     {
#       pcl::Supervoxel<PointT>::Ptr neighbor_supervoxel = supervoxel_clusters.at (adjacent_itr->second);
#       adjacent_supervoxel_centers.push_back (neighbor_supervoxel->centroid_);
#     }
#     //Now we make a name for this polygon
#     std::stringstream ss;
#     ss << "supervoxel_" << supervoxel_label;
#     //This function is shown below, but is beyond the scope of this tutorial - basically it just generates a "star" polygon mesh from the points given
#     addSupervoxelConnectionsToViewer (supervoxel->centroid_, adjacent_supervoxel_centers, ss.str (), viewer);
#     //Move iterator forward to next label
#     label_itr = supervoxel_adjacency.upper_bound (supervoxel_label);
#   }
# 
#   while (!viewer->wasStopped ())
#   {
#     viewer->spinOnce (100);
#   }
#   return (0);
# }
# 
# void addSupervoxelConnectionsToViewer (PointT &supervoxel_center,
#                                   PointCloudT &adjacent_supervoxel_centers,
#                                   std::string supervoxel_name,
#                                   boost::shared_ptr<pcl::visualization::PCLVisualizer> & viewer)
# {
#   vtkSmartPointer<vtkPoints> points = vtkSmartPointer<vtkPoints>::New ();
#   vtkSmartPointer<vtkCellArray> cells = vtkSmartPointer<vtkCellArray>::New ();
#   vtkSmartPointer<vtkPolyLine> polyLine = vtkSmartPointer<vtkPolyLine>::New ();
# 
#   //Iterate through all adjacent points, and add a center point to adjacent point pair
#   PointCloudT::iterator adjacent_itr = adjacent_supervoxel_centers.begin ();
#   for ( ; adjacent_itr != adjacent_supervoxel_centers.end (); ++adjacent_itr)
#   {
#     points->InsertNextPoint (supervoxel_center.data);
#     points->InsertNextPoint (adjacent_itr->data);
#   }
#   // Create a polydata to store everything in
#   vtkSmartPointer<vtkPolyData> polyData = vtkSmartPointer<vtkPolyData>::New ();
#   // Add the points to the dataset
#   polyData->SetPoints (points);
#   polyLine->GetPointIds  ()->SetNumberOfIds(points->GetNumberOfPoints ());
#   for(unsigned int i = 0; i < points->GetNumberOfPoints (); i++)
#     polyLine->GetPointIds ()->SetId (i,i);
#   cells->InsertNextCell (polyLine);
#   // Add the lines to the dataset
#   polyData->SetLines (cells);
#   viewer->addModelFromPolyData (polyData,supervoxel_name);
# }


