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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 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. | ||
* | ||
* $Id: test_filters.cpp 7683 2012-10-23 02:49:03Z rusu $ | ||
* | ||
*/ | ||
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#include <pcl/test/gtest.h> | ||
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#include <random> | ||
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#include <pcl/point_types.h> | ||
#include <pcl/surface/convex_hull.h> | ||
#include <pcl/common/common.h> | ||
#include <pcl/filters/crop_hull.h> | ||
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namespace | ||
{ | ||
template <class PointGenerator1, class PointGenerator2> | ||
void complexTest( | ||
pcl::CropHull<pcl::PointXYZ> cropHullFilter, | ||
PointGenerator1 insidePointGenerator, | ||
PointGenerator2 outsidePointGenerator) | ||
{ | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr emptyCloud(new pcl::PointCloud<pcl::PointXYZ>); | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr insideCubeCloud(new pcl::PointCloud<pcl::PointXYZ>); | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr outsideCubeCloud(new pcl::PointCloud<pcl::PointXYZ>); | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr mixedCubeCloud(new pcl::PointCloud<pcl::PointXYZ>); | ||
size_t const chunkSize = 100; | ||
{ | ||
for (size_t i = 0; i < chunkSize; ++i) | ||
{ | ||
insideCubeCloud->push_back(insidePointGenerator()); | ||
outsideCubeCloud->push_back(outsidePointGenerator()); | ||
} | ||
*mixedCubeCloud = (*insideCubeCloud) + (*outsideCubeCloud); | ||
} | ||
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struct CheckEquals { | ||
pcl::CropHull<pcl::PointXYZ> cropHullFilter; | ||
CheckEquals(pcl::CropHull<pcl::PointXYZ> const & cropHullFilter) | ||
: cropHullFilter(cropHullFilter) | ||
{} | ||
void check( | ||
pcl::PointCloud<pcl::PointXYZ>::ConstPtr expectedCloud, | ||
pcl::PointCloud<pcl::PointXYZ>::ConstPtr inputCloud, | ||
int idxOffset = 0) | ||
{ | ||
cropHullFilter.setInputCloud(inputCloud); | ||
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std::vector<int> filteredIndices; | ||
cropHullFilter.filter(filteredIndices); | ||
ASSERT_EQ (expectedCloud->size(), filteredIndices.size()); | ||
std::sort(filteredIndices.begin(), filteredIndices.end()); | ||
for (int i = 0; i < filteredIndices.size(); ++i) | ||
{ | ||
ASSERT_EQ (idxOffset + i, filteredIndices[i]); | ||
} | ||
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pcl::PointCloud<pcl::PointXYZ> filteredCloud; | ||
cropHullFilter.filter(filteredCloud); | ||
ASSERT_EQ (expectedCloud->size(), filteredCloud.size()); | ||
for (int i = 0; i < expectedCloud->size(); ++i) | ||
{ | ||
Eigen::Vector3f expectedPoint = expectedCloud->at(i).getVector3fMap(); | ||
Eigen::Vector3f actualPoint = filteredCloud.at(i).getVector3fMap(); | ||
EXPECT_NEAR((expectedPoint - actualPoint).norm(), 0.0, 1e-5); | ||
} | ||
} | ||
}; | ||
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{ | ||
CheckEquals checker(cropHullFilter); | ||
checker.check(insideCubeCloud, insideCubeCloud); | ||
checker.check(emptyCloud, outsideCubeCloud); | ||
checker.check(insideCubeCloud, mixedCubeCloud); | ||
} | ||
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{ | ||
cropHullFilter.setCropOutside(false); | ||
CheckEquals checker(cropHullFilter); | ||
checker.check(emptyCloud, insideCubeCloud); | ||
checker.check(outsideCubeCloud, outsideCubeCloud); | ||
checker.check(outsideCubeCloud, mixedCubeCloud, insideCubeCloud->size()); | ||
} | ||
} | ||
} | ||
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////// | ||
TEST (PCL, ConvexHull_2dsquare) | ||
{ | ||
pcl::CropHull<pcl::PointXYZ> cropHullFilter; | ||
{ | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr inputCloud (new pcl::PointCloud<pcl::PointXYZ> ()); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 0.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 1.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 0.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 1.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 0.0f, 0.1f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 1.0f, 0.1f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 0.0f, 0.1f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 1.0f, 0.1f)); | ||
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pcl::ConvexHull<pcl::PointXYZ> convexHull; | ||
convexHull.setDimension(3); | ||
convexHull.setInputCloud(inputCloud); | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr hullCloudPtr(new pcl::PointCloud<pcl::PointXYZ>); | ||
std::vector<pcl::Vertices> hullPolygons; | ||
convexHull.reconstruct(*hullCloudPtr, hullPolygons); | ||
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cropHullFilter.setHullIndices(hullPolygons); | ||
cropHullFilter.setHullCloud(hullCloudPtr); | ||
cropHullFilter.setDim(2); | ||
cropHullFilter.setCropOutside(true); | ||
} | ||
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std::mt19937 gen(12345u); | ||
std::uniform_real_distribution<float> rd (0.0f, 1.0f); | ||
auto insidePointGenerator = [&rd, &gen] () { | ||
return pcl::PointXYZ(rd(gen), rd(gen), 1.0); | ||
}; | ||
auto outsidePointGenerator = [&rd, &gen] () { | ||
return pcl::PointXYZ(rd(gen) + 2., rd(gen) + 2., rd(gen) + 2.); | ||
}; | ||
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complexTest(cropHullFilter, insidePointGenerator, outsidePointGenerator); | ||
} | ||
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////// | ||
TEST (PCL, issue_1657_CropHull3d_not_cropping_inside) | ||
{ | ||
typedef pcl::PointCloud<pcl::PointXYZ> PointCloud; | ||
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pcl::CropHull<pcl::PointXYZ> cropHullFilter; | ||
PointCloud::Ptr hullCloud(new PointCloud()); | ||
PointCloud::Ptr hullPoints(new PointCloud()); | ||
std::vector<pcl::Vertices> hullPolygons; | ||
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hullCloud->clear(); | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = -1; | ||
p.y = -1; | ||
p.z = -1; | ||
hullCloud->push_back(p); | ||
p.z = 1; | ||
hullCloud->push_back(p); | ||
} | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = -1; | ||
p.y = 1; | ||
p.z = -1; | ||
hullCloud->push_back(p); | ||
p.z = 1; | ||
hullCloud->push_back(p); | ||
} | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = 1; | ||
p.y = 1; | ||
p.z = -1; | ||
hullCloud->push_back(p); | ||
p.z = 1; | ||
hullCloud->push_back(p); | ||
} | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = 1; | ||
p.y = -1; | ||
p.z = -1; | ||
hullCloud->push_back(p); | ||
p.z = 1; | ||
hullCloud->push_back(p); | ||
} | ||
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// setup hull filter | ||
pcl::ConvexHull<pcl::PointXYZ> cHull; | ||
cHull.setInputCloud(hullCloud); | ||
cHull.reconstruct(*hullPoints, hullPolygons); | ||
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cropHullFilter.setHullIndices(hullPolygons); | ||
cropHullFilter.setHullCloud(hullPoints); | ||
//cropHullFilter.setDim(2); // if you uncomment this, it will work | ||
cropHullFilter.setCropOutside(false); // this will remove points inside the hull | ||
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// create point cloud | ||
PointCloud::Ptr pc(new PointCloud()); | ||
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// a point inside the hull | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = 0; | ||
p.y = 0; | ||
p.z = 0; | ||
pc->push_back(p); | ||
} | ||
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// and a point outside the hull | ||
{ | ||
pcl::PointXYZ p; | ||
p.x = 10; | ||
p.y = 10; | ||
p.z = 10; | ||
pc->push_back(p); | ||
} | ||
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//filter points | ||
cropHullFilter.setInputCloud(pc); | ||
PointCloud::Ptr filtered(new PointCloud()); | ||
cropHullFilter.filter(*filtered); | ||
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ASSERT_EQ(1, filtered->size()); | ||
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EXPECT_NEAR( | ||
(filtered->front().getVector3fMap() - Eigen::Vector3f(10.0, 10.0, 10.0)).norm(), | ||
0.0, | ||
1e-5); | ||
} | ||
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////// | ||
TEST (PCL, ConvexHull_3dcube) | ||
{ | ||
pcl::CropHull<pcl::PointXYZ> cropHullFilter; | ||
{ | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr inputCloud (new pcl::PointCloud<pcl::PointXYZ> ()); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 0.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 0.0f, 1.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 1.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(0.0f, 1.0f, 1.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 0.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 0.0f, 1.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 1.0f, 0.0f)); | ||
inputCloud->push_back(pcl::PointXYZ(1.0f, 1.0f, 1.0f)); | ||
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pcl::ConvexHull<pcl::PointXYZ> convexHull; | ||
convexHull.setDimension(3); | ||
convexHull.setInputCloud(inputCloud); | ||
pcl::PointCloud<pcl::PointXYZ>::Ptr hullCloudPtr(new pcl::PointCloud<pcl::PointXYZ>); | ||
std::vector<pcl::Vertices> hullPolygons; | ||
convexHull.reconstruct(*hullCloudPtr, hullPolygons); | ||
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cropHullFilter.setHullIndices(hullPolygons); | ||
cropHullFilter.setHullCloud(hullCloudPtr); | ||
cropHullFilter.setDim(3); | ||
cropHullFilter.setCropOutside(true); | ||
} | ||
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std::mt19937 gen(12345u); | ||
std::uniform_real_distribution<float> rd (0.0f, 1.0f); | ||
auto insidePointGenerator = [&rd, &gen] () { | ||
return pcl::PointXYZ(rd(gen), rd(gen), rd(gen)); | ||
}; | ||
auto outsidePointGenerator = [&rd, &gen] () { | ||
return pcl::PointXYZ(rd(gen) + 2., rd(gen) + 2., rd(gen) + 2.); | ||
}; | ||
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complexTest(cropHullFilter, insidePointGenerator, outsidePointGenerator); | ||
} | ||
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/* ---[ */ | ||
int | ||
main (int argc, char** argv) | ||
{ | ||
// Testing | ||
testing::InitGoogleTest (&argc, argv); | ||
return (RUN_ALL_TESTS ()); | ||
} | ||
/* ]--- */ |