void
run (float pair_width, float voxel_size, float max_coplanarity_angle, int num_hypotheses_to_show)
{
PointCloud<PointXYZ>::Ptr scene_points (new PointCloud<PointXYZ> ()), model_points (new PointCloud<PointXYZ> ());
PointCloud<Normal>::Ptr scene_normals (new PointCloud<Normal> ()), model_normals (new PointCloud<Normal> ());
// Get the points and normals from the scene
if ( !vtk_to_pointcloud ("../../test/tum_table_scene.vtk", *scene_points, *scene_normals) )
return;
vtkPolyData *vtk_model = vtkPolyData::New ();
// Get the points and normals from the scene
if ( !vtk_to_pointcloud ("../../test/tum_amicelli_box.vtk", *model_points, *model_normals, vtk_model) )
return;
// The recognition object
ObjRecRANSAC objrec (pair_width, voxel_size);
objrec.setMaxCoplanarityAngleDegrees (max_coplanarity_angle);
objrec.addModel (*model_points, *model_normals, "amicelli", vtk_model);
// Switch to the test mode in which only oriented point pairs from the scene are sampled
objrec.enterTestModeTestHypotheses ();
// The visualizer
PCLVisualizer viz;
CallbackParameters params(objrec, viz, *scene_points, *scene_normals, num_hypotheses_to_show);
viz.registerKeyboardCallback (keyboardCB, static_cast<void*> (¶ms));
// Run the recognition and update the viewer
update (¶ms);
#ifdef _SHOW_SCENE_POINTS_
viz.addPointCloud (scene_points, "cloud in");
viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 2, "cloud in");
#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, 5, "octree points");
viz.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_COLOR, 1.0, 0.0, 0.0, "octree points");
#endif
#if defined _SHOW_OCTREE_NORMALS_ && defined _SHOW_OCTREE_POINTS_
PointCloud<Normal>::Ptr octree_normals (new PointCloud<Normal> ());
objrec.getSceneOctree ().getNormalsOfFullLeaves (*octree_normals);
viz.addPointCloudNormals<PointXYZ,Normal> (octree_points, octree_normals, 1, 6.0f, "normals out");
#endif
// Enter the main loop
while (!viz.wasStopped ())
{
//main loop of the visualizer
viz.spinOnce (100);
boost::this_thread::sleep (boost::posix_time::microseconds (100000));
}
vtk_model->Delete ();
}
int
main (int argc, char** argv)
{
// Make sure that we have the right number of arguments
if (argc != 2)
{
print_info ("\nVisualizes the hash table after adding the provided mesh to it.\n"
"usage:\n"
"./obj_rec_ransac_hash_table <mesh.vtk>\n");
return (-1);
}
ObjRecRANSAC::PointCloudIn points_in;
ObjRecRANSAC::PointCloudN normals_in;
double b[6];
if ( !vtk_to_pointcloud (argv[1], points_in, normals_in, b) )
return (-1);
// Compute the bounding box diagonal
float diag = static_cast<float> (sqrt (my_sqr (b[1]-b[0]) + my_sqr (b[3]-b[2]) + my_sqr (b[5]-b[4])));
// Create the recognition object (we need it only for its hash table)
ObjRecRANSAC objrec (diag/8.0f, diag/60.0f);
objrec.addModel (points_in, normals_in, "test_model");
// Start visualization (and the main VTK loop)
visualize (objrec.getHashTable ());
return (0);
}
int
main (int argc, char** argv)
{
// Make sure that we have the right number of arguments
if (argc != 2)
{
print_info ("\nVisualizes the hash table after adding the provided mesh to it.\n"
"usage:\n"
"./visualize_obj_rec_ransac_hash_table mesh.vtk\n");
return (-1);
}
// Parse the command line arguments for .vtk files
if ( parse_file_extension_argument (argc, argv, ".vtk").size () != 1 )
{
print_error ("We need a .vtk object.\n");
return (-1);
}
// Load the model
vtkPolyDataReader *vtk_reader = vtkPolyDataReader::New ();
vtk_reader->SetFileName (argv[1]);
vtk_reader->Update ();
vtkPolyData *vtk_mesh = vtk_reader->GetOutput ();
// Get the bounds of the mesh
double mb[6];
vtk_mesh->ComputeBounds ();
vtk_mesh->GetBounds (mb);
// Create a point cloud with normals
ModelLibrary::PointCloudInPtr eigen_points (new ModelLibrary::PointCloudIn ());
ModelLibrary::PointCloudNPtr eigen_normals (new ModelLibrary::PointCloudN ());
if ( !get_points_and_normals (vtk_mesh, *eigen_points.get(), *eigen_normals.get()) )
{
vtk_reader->Delete ();
return (-1);
}
// Compute the bounding box diagonal
double diag = sqrt (my_sqr (mb[1]-mb[0]) + my_sqr (mb[3]-mb[2]) + my_sqr (mb[5]-mb[4]));
// Create the recognition object (we need it only for its hash table)
ObjRecRANSAC objrec (diag/8.0, diag/20.0);
printf("Adding the model to the library ... "); fflush (stdout);
objrec.addModel (eigen_points, eigen_normals, string ("test_model"));
printf("OK\n");
// Start visualization (and the main VTK loop)
visualize (objrec.getHashTable ());
// Cleanup
vtk_reader->Delete ();
return 0;
}
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
list<string> model_names;
model_names.emplace_back("tum_amicelli_box");
model_names.emplace_back("tum_rusk_box");
model_names.emplace_back("tum_soda_bottle");
list<PointCloud<PointXYZ>::Ptr> model_points_list;
list<PointCloud<Normal>::Ptr> model_normals_list;
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
string file_name = string("../../test/") + model_name + 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*> (¶ms));
// 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 (¶ms);
// 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);
boost::this_thread::sleep (boost::posix_time::microseconds (100000));
}
}