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obj_rec_ransac_hash_table.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_hash_table.cpp
*
* Created on: Jun 20, 2012
* Author: papazov
*
* Visualizes the hash table cell entries belonging to a model. Since the hash table is a 3D cube structure, each cell
* is a cube in 3D. It is visualized by a cube which is scaled according to the number of entries in the cell -> the more
* entries the bigger the cube.
*/
#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 <vtkPolyDataReader.h>
#include <vtkDoubleArray.h>
#include <vtkDataArray.h>
#include <vtkPointData.h>
#include <vtkGlyph3D.h>
#include <cstdio>
#include <thread>
#include <vector>
using namespace std;
using namespace std::chrono_literals;
using namespace pcl;
using namespace io;
using namespace console;
using namespace recognition;
using namespace visualization;
inline double
my_sqr (double a){ return a*a;}
bool vtk_to_pointcloud (const char* file_name, PointCloud<PointXYZ>& points_in, PointCloud<Normal>& normals_in, double bounds[6]);
void visualize (const ModelLibrary::HashTable& hash_table);
//===========================================================================================================================================
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);
}
//===========================================================================================================================================
bool vtk_to_pointcloud (const char* file_name, PointCloud<PointXYZ>& points_in, PointCloud<Normal>& normals_in, double b[6])
{
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];
vtk_poly->ComputeBounds ();
vtk_poly->GetBounds (b);
points_in.resize (num_points);
// Copy the points
for ( vtkIdType i = 0 ; i < num_points ; ++i )
{
vtk_points->GetPoint (i, p);
points_in[i].x = static_cast<float> (p[0]);
points_in[i].y = static_cast<float> (p[1]);
points_in[i].z = static_cast<float> (p[2]);
}
// Check if we have normals
vtkDataArray *vtk_normals = vtk_poly->GetPointData ()->GetNormals ();
if ( vtk_normals )
{
normals_in.resize (num_points);
// Copy the normals
for ( vtkIdType i = 0 ; i < num_points ; ++i )
{
vtk_normals->GetTuple (i, p);
normals_in[i].normal_x = static_cast<float> (p[0]);
normals_in[i].normal_y = static_cast<float> (p[1]);
normals_in[i].normal_z = static_cast<float> (p[2]);
}
}
return true;
}
//===========================================================================================================================================
void
visualize (const ModelLibrary::HashTable& hash_table)
{
PCLVisualizer vis;
vis.setBackgroundColor (0.1, 0.1, 0.1);
const ModelLibrary::HashTableCell* cells = hash_table.getVoxels ();
size_t max_num_entries = 0;
int id3[3], num_cells = hash_table.getNumberOfVoxels ();
float half_side, b[6], cell_center[3], spacing = hash_table.getVoxelSpacing ()[0];
char cube_id[128];
// Just get the maximal number of entries in the cells
for ( int i = 0 ; i < num_cells ; ++i, ++cells )
{
if (!cells->empty ()) // That's the number of models in the cell (it's maximum one, since we loaded only one model)
{
size_t num_entries = (*cells->begin ()).second.size(); // That's the number of entries in the current cell for the model we loaded
// Get the max number of entries
if ( num_entries > max_num_entries )
max_num_entries = num_entries;
}
}
// Now, that we have the max. number of entries, we can compute the
// right scale factor for the spheres
float s = (0.5f*spacing)/static_cast<float> (max_num_entries);
cout << "s = " << s << ", max_num_entries = " << max_num_entries << endl;
// Now, render a sphere with the right radius at the right place
cells = hash_table.getVoxels ();
for ( int i = 0; i < num_cells ; ++i, ++cells )
{
// Does the cell have any entries?
if (!cells->empty ())
{
hash_table.compute3dId (i, id3);
hash_table.computeVoxelCenter (id3, cell_center);
// That's half of the cube's side length
half_side = s*static_cast<float> ((*cells->begin ()).second.size ());
// Adjust the bounds of the cube
b[0] = cell_center[0] - half_side; b[1] = cell_center[0] + half_side;
b[2] = cell_center[1] - half_side; b[3] = cell_center[1] + half_side;
b[4] = cell_center[2] - half_side; b[5] = cell_center[2] + half_side;
// Set the id
sprintf (cube_id, "cube %i", i);
// Add to the visualizer
vis.addCube (b[0], b[1], b[2], b[3], b[4], b[5], 1.0, 1.0, 0.0, cube_id);
}
}
vis.addCoordinateSystem(1.5, "global");
vis.resetCamera ();
// Enter the main loop
while (!vis.wasStopped ())
{
vis.spinOnce (100);
std::this_thread::sleep_for(100ms);
}
}