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/*
 * obj_rec_ransac_result.cpp
 *
 *  Created on: Jan 23, 2013
 *      Author: papazov
 *
 *  Visualizes the result of the ObjRecRANSAC class.
 */

#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/recognition/ransac_based/obj_rec_ransac.h>
#include <pcl/visualization/pcl_visualizer.h>
#include <pcl/console/print.h>
#include <pcl/point_cloud.h>
#include <vtkVersion.h>
#include <vtkPolyDataReader.h>
#include <vtkDoubleArray.h>
#include <vtkDataArray.h>
#include <vtkPointData.h>
#include <vtkHedgeHog.h>
#include <vtkTransformPolyDataFilter.h>
#include <vtkRenderer.h>
#include <vtkRenderWindow.h>
#include <vtkTransform.h>
#include <cstdio>
#include <list>
#include <thread>

using namespace std::chrono_literals;
using namespace pcl;
using namespace io;
using namespace console;
using namespace recognition;
using namespace visualization;

class CallbackParameters;

void keyboardCB (const pcl::visualization::KeyboardEvent &event, void* params_void);
void update (CallbackParameters* params);
bool vtk2PointCloud (const char* file_name, PointCloud<PointXYZ>& pcl_points, PointCloud<Normal>& pcl_normals, vtkPolyData* vtk_data);
void run (float pair_width, float voxel_size, float max_coplanarity_angle);
bool loadScene (const char* file_name, PointCloud<PointXYZ>& non_plane_points, PointCloud<Normal>& non_plane_normals,
                PointCloud<PointXYZ>& plane_points);

//#define _SHOW_SCENE_POINTS_
#define _SHOW_OCTREE_POINTS_
//#define _SHOW_OCTREE_NORMALS_
//#define _SHOW_OCTREE_

class CallbackParameters
{
  public:
    CallbackParameters (ObjRecRANSAC& objrec, PCLVisualizer& viz, PointCloud<PointXYZ>& scene_points, PointCloud<Normal>& scene_normals)
    : objrec_ (objrec),
      viz_ (viz),
      scene_points_ (scene_points),
      scene_normals_ (scene_normals)
    {}

    ObjRecRANSAC& objrec_;
    PCLVisualizer& viz_;
    PointCloud<PointXYZ>& scene_points_;
    PointCloud<Normal>& scene_normals_;
    std::list<vtkActor*> actors_;
};

//===========================================================================================================================================

int
main (int argc, char** argv)
{
  printf ("\nUsage: ./pcl_obj_rec_ransac_scene_opps <pair_width> <voxel_size> <max_coplanarity_angle>\n\n");

  constexpr int num_params = 3;
  float parameters[num_params] = {40.0f/*pair width*/, 5.0f/*voxel size*/, 15.0f/*max co-planarity angle*/};
  std::string parameter_names[num_params] = {"pair_width", "voxel_size", "max_coplanarity_angle"};

  // Read the user input if any
  for ( int i = 0 ; i < argc-1 && i < num_params ; ++i )
  {
    parameters[i] = static_cast<float> (atof (argv[i+1]));
    if ( parameters[i] <= 0.0f )
    {
      fprintf(stderr, "ERROR: the %i-th parameter has to be positive and not %f\n", i+1, parameters[i]);
      return (-1);
    }
  }

  printf ("The following parameter values will be used:\n");
  for ( int i = 0 ; i < num_params ; ++i )
    std::cout << "  " << parameter_names[i] << " = " << parameters[i] << std::endl;
  std::cout << std::endl;

  run (parameters[0], parameters[1], parameters[2]);
}

//===========================================================================================================================================

void
run (float pair_width, float voxel_size, float max_coplanarity_angle)
{
  // The object recognizer
  ObjRecRANSAC objrec (pair_width, voxel_size);
  objrec.setMaxCoplanarityAngleDegrees (max_coplanarity_angle);

  // The models to be loaded
  std::list<std::string> model_names;
  model_names.emplace_back("tum_amicelli_box");
  model_names.emplace_back("tum_rusk_box");
  model_names.emplace_back("tum_soda_bottle");

  std::list<PointCloud<PointXYZ>::Ptr> model_points_list;
  std::list<PointCloud<Normal>::Ptr> model_normals_list;
  std::list<vtkSmartPointer<vtkPolyData> > vtk_models_list;

  // Load the models and add them to the recognizer
  for (const auto &model_name : model_names)
  {
    PointCloud<PointXYZ>::Ptr model_points (new PointCloud<PointXYZ> ());
    model_points_list.push_back (model_points);

    PointCloud<Normal>::Ptr model_normals (new PointCloud<Normal> ());
    model_normals_list.push_back (model_normals);

    vtkSmartPointer<vtkPolyData> vtk_model = vtkSmartPointer<vtkPolyData>::New ();
    vtk_models_list.push_back (vtk_model);

    // Compose the file
    std::string file_name = std::string("../../test/") + model_name + std::string (".vtk");

    // Get the points and normals from the input model
    if ( !vtk2PointCloud (file_name.c_str (), *model_points, *model_normals, vtk_model) )
      continue;

    // Add the model
    objrec.addModel (*model_points, *model_normals, model_name, vtk_model);
  }

  // The scene in which the models are supposed to be recognized
  PointCloud<PointXYZ>::Ptr non_plane_points (new PointCloud<PointXYZ> ()), plane_points (new PointCloud<PointXYZ> ());
  PointCloud<Normal>::Ptr non_plane_normals (new PointCloud<Normal> ());

  // Detect the largest plane in the dataset
  if ( !loadScene ("../../test/tum_table_scene.vtk", *non_plane_points, *non_plane_normals, *plane_points) )
    return;

  // The parameters for the callback function and the visualizer
  PCLVisualizer viz;
  CallbackParameters params(objrec, viz, *non_plane_points, *non_plane_normals);
  viz.registerKeyboardCallback (keyboardCB, static_cast<void*> (&params));

  // Run the recognition and update the viewer. Have a look at this method, to see how to start the recognition and use the result!
  update (&params);

  // From this line on: visualization stuff only!
#ifdef _SHOW_OCTREE_
  show_octree(objrec.getSceneOctree (), viz);
#endif

#ifdef _SHOW_SCENE_POINTS_
  viz.addPointCloud (scene_points, "scene points");
  viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 2, "scene points");
#endif

#ifdef _SHOW_OCTREE_POINTS_
  PointCloud<PointXYZ>::Ptr octree_points (new PointCloud<PointXYZ> ());
  objrec.getSceneOctree ().getFullLeavesPoints (*octree_points);
  viz.addPointCloud (octree_points, "octree points");
//  viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "octree points");
  viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_COLOR, 1.0, 0.0, 0.0, "octree points");

  viz.addPointCloud (plane_points, "plane points");
  viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_COLOR, 0.9, 0.9, 0.9, "plane points");
#endif

#if defined _SHOW_OCTREE_NORMALS_ && defined _SHOW_OCTREE_POINTS_
  PointCloud<Normal>::Ptr normals_octree (new PointCloud<Normal> ());
  objrec.getSceneOctree ().getNormalsOfFullLeaves (*normals_octree);
  viz.addPointCloudNormals<PointXYZ,Normal> (points_octree, normals_octree, 1, 6.0f, "normals out");
#endif

  // Enter the main loop
  while (!viz.wasStopped ())
  {
    //main loop of the visualizer
    viz.spinOnce (100);
    std::this_thread::sleep_for(100ms);
  }
}

//===============================================================================================================================

void
keyboardCB (const pcl::visualization::KeyboardEvent &event, void* params_void)
{
  if (event.getKeyCode () == 13 /*enter*/ && event.keyUp ())
    update (static_cast<CallbackParameters*> (params_void));
}

//===============================================================================================================================

void
update (CallbackParameters* params)
{
  // Clear the visualizer from old object instances
  vtkRenderer *renderer = params->viz_.getRenderWindow ()->GetRenderers ()->GetFirstRenderer ();
  for (const auto &actor : params->actors_)
    renderer->RemoveActor (actor);
  params->actors_.clear ();

  // This will be the output of the recognition
  std::list<ObjRecRANSAC::Output> rec_output;

  // For convenience
  ObjRecRANSAC& objrec = params->objrec_;

  // Run the recognition method
  objrec.recognize (params->scene_points_, params->scene_normals_, rec_output);
  int i = 0;

  // Show the hypotheses
  for ( auto it = rec_output.begin () ; it != rec_output.end () ; ++it, ++i )
  {
    std::cout << it->object_name_ << " has a confidence value of " << it->match_confidence_ << std::endl;

    // Make a copy of the VTK model
    vtkSmartPointer<vtkPolyData> vtk_model = vtkSmartPointer<vtkPolyData>::New ();
    vtk_model->DeepCopy (static_cast<vtkPolyData*> (it->user_data_));

    // Setup the matrix
    vtkSmartPointer<vtkMatrix4x4> vtk_mat = vtkSmartPointer<vtkMatrix4x4>::New ();
    vtk_mat->Identity ();
    const float *t = it->rigid_transform_;
    // Setup the rotation
    vtk_mat->SetElement (0, 0, t[0]); vtk_mat->SetElement (0, 1, t[1]); vtk_mat->SetElement (0, 2, t[2]);
    vtk_mat->SetElement (1, 0, t[3]); vtk_mat->SetElement (1, 1, t[4]); vtk_mat->SetElement (1, 2, t[5]);
    vtk_mat->SetElement (2, 0, t[6]); vtk_mat->SetElement (2, 1, t[7]); vtk_mat->SetElement (2, 2, t[8]);
    // Setup the translation
    vtk_mat->SetElement (0, 3, t[9]); vtk_mat->SetElement (1, 3, t[10]); vtk_mat->SetElement (2, 3, t[11]);

    // Setup the transform based on the matrix
    vtkSmartPointer<vtkTransform> vtk_transform = vtkSmartPointer<vtkTransform>::New ();
    vtk_transform->SetMatrix (vtk_mat);

    // Setup the transformator
    vtkSmartPointer<vtkTransformPolyDataFilter> vtk_transformator = vtkSmartPointer<vtkTransformPolyDataFilter>::New ();
    vtk_transformator->SetTransform (vtk_transform);
    vtk_transformator->SetInputData (vtk_model);
    vtk_transformator->Update ();

    // Visualize
    vtkSmartPointer<vtkActor> vtk_actor = vtkSmartPointer<vtkActor>::New();
    vtkSmartPointer<vtkPolyDataMapper> vtk_mapper = vtkSmartPointer<vtkPolyDataMapper>::New ();
    vtk_mapper->SetInputData (vtk_transformator->GetOutput ());
    vtk_actor->SetMapper(vtk_mapper);
    // Set the appearance & add to the renderer
    vtk_actor->GetProperty ()->SetColor (0.6, 0.7, 0.9);
    renderer->AddActor(vtk_actor);
    params->actors_.push_back (vtk_actor);

#ifdef _SHOW_TRANSFORM_SPACE_
    if ( transform_space.getPositionCellBounds ((*acc_hypo)->pos_id_, cb) )
    {
      sprintf (pos_cell_name, "cell [%i, %i, %i]\n", (*acc_hypo)->pos_id_[0], (*acc_hypo)->pos_id_[1], (*acc_hypo)->pos_id_[2]);
      params->viz_.addCube (cb[0], cb[1], cb[2], cb[3], cb[4], cb[5], 1.0, 1.0, 1.0, pos_cell_name);
    }
    else
      printf ("WARNING: no cell at position [%i, %i, %i]\n", (*acc_hypo)->pos_id_[0], (*acc_hypo)->pos_id_[1], (*acc_hypo)->pos_id_[2]);
#endif
  }
}

//===============================================================================================================================

bool
loadScene (const char* file_name, PointCloud<PointXYZ>& non_plane_points, PointCloud<Normal>& non_plane_normals,
    PointCloud<PointXYZ>& plane_points)
{
  PointCloud<PointXYZ>::Ptr all_points (new PointCloud<PointXYZ> ());
  PointCloud<Normal>::Ptr all_normals (new PointCloud<Normal> ());

  // Get the points and normals from the input scene
  if ( !vtk2PointCloud (file_name, *all_points, *all_normals, nullptr) )
    return false;

  // Detect the largest plane and remove it from the sets
  pcl::ModelCoefficients::Ptr coefficients (new pcl::ModelCoefficients ());
  pcl::PointIndices::Ptr inliers (new pcl::PointIndices ());
  // Create the segmentation object
  pcl::SACSegmentation<pcl::PointXYZ> seg;
  // Optional
  seg.setOptimizeCoefficients (true);
  // Mandatory
  seg.setModelType (pcl::SACMODEL_PLANE);
  seg.setMethodType (pcl::SAC_RANSAC);
  seg.setDistanceThreshold (10.0);

  seg.setInputCloud (all_points);
  seg.segment (*inliers, *coefficients);

  if (inliers->indices.empty ())
  {
    PCL_ERROR ("Could not estimate a planar model for the given dataset.");
    return false;
  }

  // Copy the non-planar points
  non_plane_points.resize (all_points->size () - inliers->indices.size ());
  non_plane_normals.resize (all_points->size () - inliers->indices.size ());
  plane_points.resize (inliers->indices.size ());

  // Make sure that the ids are sorted
  sort (inliers->indices.begin (), inliers->indices.end ());
  pcl::uindex_t j = 0, i = 0;
  for ( pcl::index_t id = 0 ; i < inliers->indices.size () ; ++id)
  {
    if ( id == inliers->indices[i] )
    {
      plane_points[i] = (*all_points)[id];
      ++i;
    }
    else
    {
      non_plane_points[j] = (*all_points)[id];
      non_plane_normals[j] = (*all_normals)[id];
      ++j;
    }
  }

  // Just copy the rest of the non-plane points
  for ( std::size_t id = inliers->indices.size (); id < all_points->size () ; ++id, ++j )
  {
    non_plane_points[j] = (*all_points)[id];
    non_plane_normals[j] = (*all_normals)[id];
  }

  return true;
}

//===============================================================================================================================

bool
vtk2PointCloud (const char* file_name, PointCloud<PointXYZ>& pcl_points, PointCloud<Normal>& pcl_normals, vtkPolyData* vtk_data)
{
  std::size_t len = strlen (file_name);
  if ( file_name[len-3] != 'v' || file_name[len-2] != 't' || file_name[len-1] != 'k' )
  {
    fprintf (stderr, "ERROR: we need a .vtk object!\n");
    return false;
  }

  // Load the model
  vtkSmartPointer<vtkPolyDataReader> reader = vtkSmartPointer<vtkPolyDataReader>::New ();
  reader->SetFileName (file_name);
  reader->Update ();

  // Get the points
  vtkPolyData *vtk_poly = reader->GetOutput ();
  vtkPoints *vtk_points = vtk_poly->GetPoints ();
  vtkIdType num_points = vtk_points->GetNumberOfPoints ();
  double p[3];

  // Shall we copy the vtk object
  if ( vtk_data )
    vtk_data->DeepCopy (vtk_poly);

  pcl_points.resize (num_points);

  // Copy the points
  for ( vtkIdType i = 0 ; i < num_points ; ++i )
  {
    vtk_points->GetPoint (i, p);
    pcl_points[i].x = static_cast<float> (p[0]);
    pcl_points[i].y = static_cast<float> (p[1]);
    pcl_points[i].z = static_cast<float> (p[2]);
  }

  // Check if we have normals
  vtkDataArray *vtk_normals = vtk_poly->GetPointData ()->GetNormals ();
  if ( !vtk_normals )
    return false;

  pcl_normals.resize (num_points);
  // Copy the normals
  for ( vtkIdType i = 0 ; i < num_points ; ++i )
  {
    vtk_normals->GetTuple (i, p);
    pcl_normals[i].normal_x = static_cast<float> (p[0]);
    pcl_normals[i].normal_y = static_cast<float> (p[1]);
    pcl_normals[i].normal_z = static_cast<float> (p[2]);
  }

  return true;
}

//===============================================================================================================================
