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/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2012-, Open Perception, 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 Willow Garage, Inc. 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.
*
*/
#include <iostream>
#include <fstream>
#include <sstream>
#include <boost/lexical_cast.hpp>
#include <boost/property_tree/ptree.hpp>
#include <boost/property_tree/info_parser.hpp>
#include <boost/foreach.hpp>
#include <pcl/test/gtest.h>
#include <pcl/segmentation/random_walker.h>
std::string TEST_DATA_DIR;
using Weight = float;
using Color = std::uint32_t;
using Graph = boost::adjacency_list
<boost::vecS,
boost::vecS,
boost::undirectedS,
boost::property<boost::vertex_color_t, Color,
boost::property<boost::vertex_degree_t, Weight> >,
boost::property<boost::edge_weight_t, Weight> >;
using GraphTraits = boost::graph_traits<Graph>;
using EdgeDescriptor = GraphTraits::edge_descriptor;
using VertexDescriptor = GraphTraits::vertex_descriptor;
using EdgeIterator = GraphTraits::edge_iterator;
using VertexIterator = GraphTraits::vertex_iterator;
using EdgeWeightMap = boost::property_map<Graph, boost::edge_weight_t>::type;
using VertexColorMap = boost::property_map<Graph, boost::vertex_color_t>::type;
using SparseMatrix = Eigen::SparseMatrix<Weight>;
using Matrix = Eigen::Matrix<Weight, Eigen::Dynamic, Eigen::Dynamic>;
using Vector = Eigen::Matrix<Weight, Eigen::Dynamic, 1>;
using VertexDescriptorBimap = boost::bimap<std::size_t, VertexDescriptor>;
using ColorBimap = boost::bimap<std::size_t, Color>;
using RandomWalker = pcl::segmentation::detail::RandomWalker<Graph, EdgeWeightMap, VertexColorMap>;
struct GraphInfo
{
GraphInfo (const std::string& filename)
{
using boost::property_tree::ptree;
ptree pt;
read_info (filename, pt);
size = pt.get<std::size_t> ("Size");
graph = Graph (size);
segmentation.resize (size);
color_map = boost::get (boost::vertex_color, graph);
// Read graph topology
for (ptree::value_type& v : pt.get_child ("Topology"))
{
std::uint32_t source, target;
float weight;
std::stringstream (v.second.data ()) >> source >> target >> weight;
boost::add_edge (source, target, weight, graph);
}
// Initialize color property map with zeros
VertexIterator vi, v_end;
for (boost::tie (vi, v_end) = boost::vertices (graph); vi != v_end; ++vi)
color_map[*vi] = 0;
// Read seeds
for (ptree::value_type& v : pt.get_child ("Seeds"))
{
std::uint32_t id, color;
std::stringstream (v.second.data ()) >> id >> color;
color_map[id] = color;
colors.insert (color);
}
// Read expected cluster assignment
std::stringstream ss (pt.get<std::string> ("Segmentation"));
for (std::size_t i = 0; i < size; ++i)
ss >> segmentation[i];
// Read expected dimensions of matrices L and B
std::stringstream (pt.get<std::string> ("Dimensions")) >> rows >> cols;
// Read expected potentials
for (ptree::value_type& v : pt.get_child ("Potentials"))
{
Color color = boost::lexical_cast<std::uint32_t> (v.first);
potentials[color] = Vector::Zero (size);
std::stringstream ss (v.second.data ());
for (std::size_t i = 0; i < size; ++i)
ss >> potentials[color] (i);
}
}
Graph graph;
std::vector<Color> segmentation;
VertexColorMap color_map;
std::map<Color, Vector> potentials;
std::set<Color> colors;
std::size_t size; // number of vertices
std::size_t rows; // expected number of rows in matrices L and B
std::size_t cols; // expected number of cols in matrix B
};
class RandomWalkerTest : public ::testing::TestWithParam<const char*>
{
public:
RandomWalkerTest ()
: g (TEST_DATA_DIR + "/" + GetParam ())
{
}
GraphInfo g;
};
TEST_P (RandomWalkerTest, BuildLinearSystem)
{
RandomWalker rw (g.graph,
boost::get (boost::edge_weight, g.graph),
boost::get (boost::vertex_color, g.graph));
rw.computeVertexDegrees ();
rw.buildLinearSystem ();
ASSERT_EQ (g.rows, rw.L.rows ());
ASSERT_EQ (g.rows, rw.L.cols ());
ASSERT_EQ (g.rows, rw.B.rows ());
ASSERT_EQ (g.cols, rw.B.cols ());
std::vector<Weight> degrees (g.rows, 0.0);
std::vector<Weight> L_sums (g.rows, 0.0);
std::vector<Weight> B_sums (g.rows, 0.0);
for (Eigen::Index k = 0; k < rw.L.outerSize (); ++k)
{
for (SparseMatrix::InnerIterator it (rw.L, k); it; ++it)
{
EXPECT_GE (it.row (), it.col ()); // the matrix should be lower triangular
if (it.row () == it.col ())
{
degrees[it.row ()] = it.value ();
}
else
{
L_sums[it.row ()] -= it.value ();
L_sums[it.col ()] -= it.value ();
}
}
}
for (Eigen::Index k = 0; k < rw.B.outerSize (); ++k)
{
for (SparseMatrix::InnerIterator it (rw.B, k); it; ++it)
{
B_sums[it.row ()] += it.value ();
}
}
for (std::size_t i = 0; i < g.rows; ++i)
{
float sum = L_sums[i] + B_sums[i];
EXPECT_FLOAT_EQ (degrees[i], sum);
}
}
TEST_P (RandomWalkerTest, Segment)
{
bool result = pcl::segmentation::randomWalker (g.graph);
ASSERT_TRUE (result);
VertexIterator vi, v_end;
for (boost::tie (vi, v_end) = boost::vertices (g.graph); vi != v_end; ++vi)
EXPECT_EQ (g.segmentation[*vi], g.color_map[*vi]);
}
TEST_P (RandomWalkerTest, GetPotentials)
{
Matrix p;
std::map<Color, std::size_t> map;
pcl::segmentation::randomWalker (g.graph,
boost::get (boost::edge_weight, g.graph),
boost::get (boost::vertex_color, g.graph),
p,
map);
ASSERT_EQ (g.size, p.rows ());
ASSERT_EQ (g.colors.size (), p.cols ());
ASSERT_EQ (g.colors.size (), map.size ());
for (const unsigned int &color : g.colors)
for (std::size_t i = 0; i < g.size; ++i)
if (g.potentials.count (color))
{
EXPECT_NEAR (g.potentials[color] (i), p (i, map[color]), 0.01);
}
}
INSTANTIATE_TEST_SUITE_P (VariousGraphs,
RandomWalkerTest,
::testing::Values ("graph0.info",
"graph1.info",
"graph2.info",
"graph3.info",
"graph4.info",
"graph5.info",
"graph6.info",
"graph7.info",
"graph8.info"));
int
main (int argc, char** argv)
{
if (argc < 2)
{
std::cerr << "Please provide a path to the directory with test graph descriptions." << std::endl;
return (-1);
}
TEST_DATA_DIR = std::string (argv[1]);
try
{
::testing::InitGoogleTest (&argc, argv);
return RUN_ALL_TESTS ();
}
catch (std::exception& e)
{
std::cerr << "Unhandled exception: " << e.what () << "\n";
}
return 1;
}
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