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obj_rec_ransac_result.cpp
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/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2011, Willow Garage, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the copyright holder(s) nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
*/
/*
* 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/console/parse.h>
#include <pcl/io/pcd_io.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 <vector>
#include <list>
using namespace std;
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_;
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");
const int num_params = 3;
float parameters[num_params] = {40.0f/*pair width*/, 5.0f/*voxel size*/, 15.0f/*max co-planarity angle*/};
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 )
cout << " " << parameter_names[i] << " = " << parameters[i] << endl;
cout << 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
list<string> model_names;
model_names.push_back (string ("tum_amicelli_box"));
model_names.push_back (string ("tum_rusk_box"));
model_names.push_back (string ("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 ( list<string>::iterator it = model_names.begin () ; it != model_names.end () ; ++it )
{
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/") + *it + 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, *it, 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));
}
}
//===============================================================================================================================
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 ( list<vtkActor*>::iterator it = params->actors_.begin () ; it != params->actors_.end () ; ++it )
renderer->RemoveActor (*it);
params->actors_.clear ();
// This will be the output of the recognition
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 ( list<ObjRecRANSAC::Output>::iterator it = rec_output.begin () ; it != rec_output.end () ; ++it, ++i )
{
cout << it->object_name_ << " has a confidence value of " << it->match_confidence_ << 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);
#if VTK_MAJOR_VERSION < 6
vtk_transformator->SetInput (vtk_model);
#else
vtk_transformator->SetInputData (vtk_model);
#endif
vtk_transformator->Update ();
// Visualize
vtkSmartPointer<vtkActor> vtk_actor = vtkSmartPointer<vtkActor>::New();
vtkSmartPointer<vtkPolyDataMapper> vtk_mapper = vtkSmartPointer<vtkPolyDataMapper>::New ();
#if VTK_MAJOR_VERSION < 6
vtk_mapper->SetInput(vtk_transformator->GetOutput ());
#else
vtk_mapper->SetInputData (vtk_transformator->GetOutput ());
#endif
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, NULL) )
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.size () == 0)
{
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 ());
size_t i, j, id;
for ( i = 0, j = 0, id = 0 ; i < inliers->indices.size () ; )
{
if ( static_cast<int> (id) == inliers->indices[i] )
{
plane_points.points[i] = all_points->points[id];
++id;
++i;
}
else
{
non_plane_points.points[j] = all_points->points[id];
non_plane_normals.points[j] = all_normals->points[id];
++id;
++j;
}
}
// Just copy the rest of the non-plane points
for ( ; id < all_points->size () ; ++id, ++j )
{
non_plane_points.points[j] = all_points->points[id];
non_plane_normals.points[j] = all_normals->points[id];
}
return true;
}
//===============================================================================================================================
bool
vtk2PointCloud (const char* file_name, PointCloud<PointXYZ>& pcl_points, PointCloud<Normal>& pcl_normals, vtkPolyData* vtk_data)
{
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;
}
//===============================================================================================================================