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gtsam/gtsam/slam/tests/testDataset.cpp

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/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @file testDataset.cpp
* @brief Unit test for dataset.cpp
* @author Richard Roberts, Luca Carlone
*/
#include <CppUnitLite/TestHarness.h>
#include <boost/algorithm/string.hpp>
#include <gtsam/inference/Symbol.h>
#include <gtsam/base/TestableAssertions.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/slam/BetweenFactor.h>
#include <gtsam/slam/dataset.h>
using namespace gtsam::symbol_shorthand;
using namespace std;
using namespace gtsam;
/* ************************************************************************* */
TEST(dataSet, findExampleDataFile) {
const string expected_end = "examples/Data/example.graph";
const string actual = findExampleDataFile("example");
string actual_end = actual.substr(actual.size() - expected_end.size(), expected_end.size());
boost::replace_all(actual_end, "\\", "/"); // Convert directory separators to forward-slash
EXPECT(assert_equal(expected_end, actual_end));
}
/* ************************************************************************* */
TEST( dataSet, load2D)
{
///< The structure where we will save the SfM data
const string filename = findExampleDataFile("w100.graph");
NonlinearFactorGraph::shared_ptr graph;
Values::shared_ptr initial;
boost::tie(graph, initial) = load2D(filename);
EXPECT_LONGS_EQUAL(300,graph->size());
EXPECT_LONGS_EQUAL(100,initial->size());
noiseModel::Unit::shared_ptr model = noiseModel::Unit::Create(3);
BetweenFactor<Pose2> expected(1, 0, Pose2(-0.99879,0.0417574,-0.00818381), model);
BetweenFactor<Pose2>::shared_ptr actual = boost::dynamic_pointer_cast<
BetweenFactor<Pose2> >(graph->at(0));
EXPECT(assert_equal(expected, *actual));
}
/* ************************************************************************* */
TEST( dataSet, Balbianello)
{
///< The structure where we will save the SfM data
const string filename = findExampleDataFile("Balbianello");
SfM_data mydata;
CHECK(readBundler(filename, mydata));
// Check number of things
EXPECT_LONGS_EQUAL(5,mydata.number_cameras());
EXPECT_LONGS_EQUAL(544,mydata.number_tracks());
const SfM_Track& track0 = mydata.tracks[0];
EXPECT_LONGS_EQUAL(3,track0.number_measurements());
// Check projection of a given point
EXPECT_LONGS_EQUAL(0,track0.measurements[0].first);
const SfM_Camera& camera0 = mydata.cameras[0];
Point2 expected = camera0.project(track0.p), actual = track0.measurements[0].second;
EXPECT(assert_equal(expected,actual,1));
}
/* ************************************************************************* */
TEST( dataSet, readG2o)
{
const string g2oFile = findExampleDataFile("pose2example");
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
boost::tie(actualGraph, actualValues) = readG2o(g2oFile);
Values expectedValues;
expectedValues.insert(0, Pose2(0.000000, 0.000000, 0.000000));
expectedValues.insert(1, Pose2(1.030390, 0.011350, -0.081596));
expectedValues.insert(2, Pose2(2.036137, -0.129733, -0.301887));
expectedValues.insert(3, Pose2(3.015097, -0.442395, -0.345514));
expectedValues.insert(4, Pose2(3.343949, 0.506678, 1.214715));
expectedValues.insert(5, Pose2(3.684491, 1.464049, 1.183785));
expectedValues.insert(6, Pose2(4.064626, 2.414783, 1.176333));
expectedValues.insert(7, Pose2(4.429778, 3.300180, 1.259169));
expectedValues.insert(8, Pose2(4.128877, 2.321481, -1.825391));
expectedValues.insert(9, Pose2(3.884653, 1.327509, -1.953016));
expectedValues.insert(10, Pose2(3.531067, 0.388263, -2.148934));
EXPECT(assert_equal(expectedValues,*actualValues,1e-5));
noiseModel::Diagonal::shared_ptr model = noiseModel::Diagonal::Precisions((Vector(3) << 44.721360, 44.721360, 30.901699));
NonlinearFactorGraph expectedGraph;
expectedGraph.add(BetweenFactor<Pose2>(0, 1, Pose2(1.030390, 0.011350, -0.081596), model));
expectedGraph.add(BetweenFactor<Pose2>(1, 2, Pose2(1.013900, -0.058639, -0.220291), model));
expectedGraph.add(BetweenFactor<Pose2>(2, 3, Pose2(1.027650, -0.007456, -0.043627), model));
expectedGraph.add(BetweenFactor<Pose2>(3, 4, Pose2(-0.012016, 1.004360, 1.560229), model));
expectedGraph.add(BetweenFactor<Pose2>(4, 5, Pose2(1.016030, 0.014565, -0.030930), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 6, Pose2(1.023890, 0.006808, -0.007452), model));
expectedGraph.add(BetweenFactor<Pose2>(6, 7, Pose2(0.957734, 0.003159, 0.082836), model));
expectedGraph.add(BetweenFactor<Pose2>(7, 8, Pose2(-1.023820, -0.013668, -3.084560), model));
expectedGraph.add(BetweenFactor<Pose2>(8, 9, Pose2(1.023440, 0.013984, -0.127624), model));
expectedGraph.add(BetweenFactor<Pose2>(9,10, Pose2(1.003350, 0.022250, -0.195918), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 9, Pose2(0.033943, 0.032439, 3.073637), model));
expectedGraph.add(BetweenFactor<Pose2>(3,10, Pose2(0.044020, 0.988477, -1.553511), model));
EXPECT(assert_equal(expectedGraph,*actualGraph,1e-5));
}
/* ************************************************************************* */
TEST( dataSet, readG2o3D)
{
const string g2oFile = findExampleDataFile("pose3example");
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
bool is3D = true;
boost::tie(actualGraph, actualValues) = readG2o(g2oFile, is3D);
Values expectedValues;
Rot3 R0 = Rot3::quaternion(1.000000, 0.000000, 0.000000, 0.000000 );
Point3 p0 = Point3(0.000000, 0.000000, 0.000000);
expectedValues.insert(0, Pose3(R0, p0));
Rot3 R1 = Rot3::quaternion(0.854230, 0.190253, 0.283162, -0.392318 );
Point3 p1 = Point3(1.001367, 0.015390, 0.004948);
expectedValues.insert(1, Pose3(R1, p1));
Rot3 R2 = Rot3::quaternion(0.421446, -0.351729, -0.597838, 0.584174 );
Point3 p2 = Point3(1.993500, 0.023275, 0.003793);
expectedValues.insert(2, Pose3(R2, p2));
Rot3 R3 = Rot3::quaternion(0.067024, 0.331798, -0.200659, 0.919323);
Point3 p3 = Point3(2.004291, 1.024305, 0.018047);
expectedValues.insert(3, Pose3(R3, p3));
Rot3 R4 = Rot3::quaternion(0.765488, -0.035697, -0.462490, 0.445933);
Point3 p4 = Point3(0.999908, 1.055073, 0.020212);
expectedValues.insert(4, Pose3(R4, p4));
EXPECT(assert_equal(expectedValues,*actualValues,1e-5));
noiseModel::Diagonal::shared_ptr model = noiseModel::Diagonal::Precisions((Vector(6) << 10000.0,10000.0,10000.0,10000.0,10000.0,10000.0));
NonlinearFactorGraph expectedGraph;
Point3 p01 = Point3(1.001367, 0.015390, 0.004948);
Rot3 R01 = Rot3::quaternion(0.854230, 0.190253, 0.283162, -0.392318 );
expectedGraph.add(BetweenFactor<Pose3>(0, 1, Pose3(R01,p01), model));
Point3 p12 = Point3(0.523923, 0.776654, 0.326659);
Rot3 R12 = Rot3::quaternion(0.105373 , 0.311512, 0.656877, -0.678505 );
expectedGraph.add(BetweenFactor<Pose3>(1, 2, Pose3(R12,p12), model));
Point3 p23 = Point3(0.910927, 0.055169, -0.411761);
Rot3 R23 = Rot3::quaternion(0.568551 , 0.595795, -0.561677, 0.079353 );
expectedGraph.add(BetweenFactor<Pose3>(2, 3, Pose3(R23,p23), model));
Point3 p34 = Point3(0.775288, 0.228798, -0.596923);
Rot3 R34 = Rot3::quaternion(0.542221 , -0.592077, 0.303380, -0.513226 );
expectedGraph.add(BetweenFactor<Pose3>(3, 4, Pose3(R34,p34), model));
Point3 p14 = Point3(-0.577841, 0.628016, -0.543592);
Rot3 R14 = Rot3::quaternion(0.327419 , -0.125250, -0.534379, 0.769122 );
expectedGraph.add(BetweenFactor<Pose3>(1, 4, Pose3(R14,p14), model));
Point3 p30 = Point3(-0.623267, 0.086928, 0.773222);
Rot3 R30 = Rot3::quaternion(0.083672 , 0.104639, 0.627755, 0.766795 );
expectedGraph.add(BetweenFactor<Pose3>(3, 0, Pose3(R30,p30), model));
EXPECT(assert_equal(expectedGraph,*actualGraph,1e-5));
}
/* ************************************************************************* */
TEST( dataSet, readG2o3DNonDiagonalNoise)
{
const string g2oFile = findExampleDataFile("pose3example-offdiagonal.txt");
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
bool is3D = true;
boost::tie(actualGraph, actualValues) = readG2o(g2oFile, is3D);
Values expectedValues;
Rot3 R0 = Rot3::quaternion(1.000000, 0.000000, 0.000000, 0.000000 );
Point3 p0 = Point3(0.000000, 0.000000, 0.000000);
expectedValues.insert(0, Pose3(R0, p0));
Rot3 R1 = Rot3::quaternion(0.854230, 0.190253, 0.283162, -0.392318 );
Point3 p1 = Point3(1.001367, 0.015390, 0.004948);
expectedValues.insert(1, Pose3(R1, p1));
EXPECT(assert_equal(expectedValues,*actualValues,1e-5));
Matrix Info = Matrix(6,6);
for (int i = 0; i < 6; i++){
for (int j = i; j < 6; j++){
if(i==j)
Info(i, j) = 10000;
else{
Info(i, j) = i+1; // arbitrary nonzero number
Info(j, i) = i+1;
}
}
}
noiseModel::Gaussian::shared_ptr model = noiseModel::Gaussian::Covariance(Info.inverse());
NonlinearFactorGraph expectedGraph;
Point3 p01 = Point3(1.001367, 0.015390, 0.004948);
Rot3 R01 = Rot3::quaternion(0.854230, 0.190253, 0.283162, -0.392318 );
expectedGraph.add(BetweenFactor<Pose3>(0, 1, Pose3(R01,p01), model));
EXPECT(assert_equal(expectedGraph,*actualGraph,1e-2));
}
/* ************************************************************************* */
TEST( dataSet, readG2oHuber)
{
const string g2oFile = findExampleDataFile("pose2example");
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
bool is3D = false;
boost::tie(actualGraph, actualValues) = readG2o(g2oFile, is3D, KernelFunctionTypeHUBER);
noiseModel::Diagonal::shared_ptr baseModel = noiseModel::Diagonal::Precisions((Vector(3) << 44.721360, 44.721360, 30.901699));
SharedNoiseModel model = noiseModel::Robust::Create(noiseModel::mEstimator::Huber::Create(1.345), baseModel);
NonlinearFactorGraph expectedGraph;
expectedGraph.add(BetweenFactor<Pose2>(0, 1, Pose2(1.030390, 0.011350, -0.081596), model));
expectedGraph.add(BetweenFactor<Pose2>(1, 2, Pose2(1.013900, -0.058639, -0.220291), model));
expectedGraph.add(BetweenFactor<Pose2>(2, 3, Pose2(1.027650, -0.007456, -0.043627), model));
expectedGraph.add(BetweenFactor<Pose2>(3, 4, Pose2(-0.012016, 1.004360, 1.560229), model));
expectedGraph.add(BetweenFactor<Pose2>(4, 5, Pose2(1.016030, 0.014565, -0.030930), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 6, Pose2(1.023890, 0.006808, -0.007452), model));
expectedGraph.add(BetweenFactor<Pose2>(6, 7, Pose2(0.957734, 0.003159, 0.082836), model));
expectedGraph.add(BetweenFactor<Pose2>(7, 8, Pose2(-1.023820, -0.013668, -3.084560), model));
expectedGraph.add(BetweenFactor<Pose2>(8, 9, Pose2(1.023440, 0.013984, -0.127624), model));
expectedGraph.add(BetweenFactor<Pose2>(9,10, Pose2(1.003350, 0.022250, -0.195918), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 9, Pose2(0.033943, 0.032439, 3.073637), model));
expectedGraph.add(BetweenFactor<Pose2>(3,10, Pose2(0.044020, 0.988477, -1.553511), model));
EXPECT(assert_equal(expectedGraph,*actualGraph,1e-5));
}
/* ************************************************************************* */
TEST( dataSet, readG2oTukey)
{
const string g2oFile = findExampleDataFile("pose2example");
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
bool is3D = false;
boost::tie(actualGraph, actualValues) = readG2o(g2oFile, is3D, KernelFunctionTypeTUKEY);
noiseModel::Diagonal::shared_ptr baseModel = noiseModel::Diagonal::Precisions((Vector(3) << 44.721360, 44.721360, 30.901699));
SharedNoiseModel model = noiseModel::Robust::Create(noiseModel::mEstimator::Tukey::Create(4.6851), baseModel);
NonlinearFactorGraph expectedGraph;
expectedGraph.add(BetweenFactor<Pose2>(0, 1, Pose2(1.030390, 0.011350, -0.081596), model));
expectedGraph.add(BetweenFactor<Pose2>(1, 2, Pose2(1.013900, -0.058639, -0.220291), model));
expectedGraph.add(BetweenFactor<Pose2>(2, 3, Pose2(1.027650, -0.007456, -0.043627), model));
expectedGraph.add(BetweenFactor<Pose2>(3, 4, Pose2(-0.012016, 1.004360, 1.560229), model));
expectedGraph.add(BetweenFactor<Pose2>(4, 5, Pose2(1.016030, 0.014565, -0.030930), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 6, Pose2(1.023890, 0.006808, -0.007452), model));
expectedGraph.add(BetweenFactor<Pose2>(6, 7, Pose2(0.957734, 0.003159, 0.082836), model));
expectedGraph.add(BetweenFactor<Pose2>(7, 8, Pose2(-1.023820, -0.013668, -3.084560), model));
expectedGraph.add(BetweenFactor<Pose2>(8, 9, Pose2(1.023440, 0.013984, -0.127624), model));
expectedGraph.add(BetweenFactor<Pose2>(9,10, Pose2(1.003350, 0.022250, -0.195918), model));
expectedGraph.add(BetweenFactor<Pose2>(5, 9, Pose2(0.033943, 0.032439, 3.073637), model));
expectedGraph.add(BetweenFactor<Pose2>(3,10, Pose2(0.044020, 0.988477, -1.553511), model));
EXPECT(assert_equal(expectedGraph,*actualGraph,1e-5));
}
/* ************************************************************************* */
TEST( dataSet, writeG2o)
{
const string g2oFile = findExampleDataFile("pose2example");
NonlinearFactorGraph::shared_ptr expectedGraph;
Values::shared_ptr expectedValues;
boost::tie(expectedGraph, expectedValues) = readG2o(g2oFile);
const string filenameToWrite = createRewrittenFileName(g2oFile);
writeG2o(*expectedGraph, *expectedValues, filenameToWrite);
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
boost::tie(actualGraph, actualValues) = readG2o(filenameToWrite);
EXPECT(assert_equal(*expectedValues,*actualValues,1e-5));
EXPECT(assert_equal(*expectedGraph,*actualGraph,1e-5));
}
/* ************************************************************************* */
TEST( dataSet, writeG2o3D)
{
const string g2oFile = findExampleDataFile("pose3example");
NonlinearFactorGraph::shared_ptr expectedGraph;
Values::shared_ptr expectedValues;
bool is3D = true;
boost::tie(expectedGraph, expectedValues) = readG2o(g2oFile, is3D);
const string filenameToWrite = createRewrittenFileName(g2oFile);
writeG2o(*expectedGraph, *expectedValues, filenameToWrite);
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
boost::tie(actualGraph, actualValues) = readG2o(filenameToWrite, is3D);
EXPECT(assert_equal(*expectedValues,*actualValues,1e-4));
EXPECT(assert_equal(*expectedGraph,*actualGraph,1e-4));
}
/* ************************************************************************* */
TEST( dataSet, writeG2o3DNonDiagonalNoise)
{
const string g2oFile = findExampleDataFile("pose3example-offdiagonal");
NonlinearFactorGraph::shared_ptr expectedGraph;
Values::shared_ptr expectedValues;
bool is3D = true;
boost::tie(expectedGraph, expectedValues) = readG2o(g2oFile, is3D);
const string filenameToWrite = createRewrittenFileName(g2oFile);
writeG2o(*expectedGraph, *expectedValues, filenameToWrite);
NonlinearFactorGraph::shared_ptr actualGraph;
Values::shared_ptr actualValues;
boost::tie(actualGraph, actualValues) = readG2o(filenameToWrite, is3D);
EXPECT(assert_equal(*expectedValues,*actualValues,1e-4));
EXPECT(assert_equal(*expectedGraph,*actualGraph,1e-4));
}
/* ************************************************************************* */
TEST( dataSet, readBAL_Dubrovnik)
{
///< The structure where we will save the SfM data
const string filename = findExampleDataFile("dubrovnik-3-7-pre");
SfM_data mydata;
CHECK(readBAL(filename, mydata));
// Check number of things
EXPECT_LONGS_EQUAL(3,mydata.number_cameras());
EXPECT_LONGS_EQUAL(7,mydata.number_tracks());
const SfM_Track& track0 = mydata.tracks[0];
EXPECT_LONGS_EQUAL(3,track0.number_measurements());
// Check projection of a given point
EXPECT_LONGS_EQUAL(0,track0.measurements[0].first);
const SfM_Camera& camera0 = mydata.cameras[0];
Point2 expected = camera0.project(track0.p), actual = track0.measurements[0].second;
EXPECT(assert_equal(expected,actual,12));
}
/* ************************************************************************* */
TEST( dataSet, openGL2gtsam)
{
Vector3 rotVec(0.2, 0.7, 1.1);
Rot3 R = Rot3::Expmap(rotVec);
Point3 t = Point3(0.0,0.0,0.0);
Pose3 poseGTSAM = Pose3(R,t);
Pose3 expected = openGL2gtsam(R, t.x(), t.y(), t.z());
Point3 r1 = R.r1(), r2 = R.r2(), r3 = R.r3(); //columns!
Rot3 cRw(
r1.x(), r2.x(), r3.x(),
-r1.y(), -r2.y(), -r3.y(),
-r1.z(), -r2.z(), -r3.z());
Rot3 wRc = cRw.inverse();
Pose3 actual = Pose3(wRc,t);
EXPECT(assert_equal(expected,actual));
}
/* ************************************************************************* */
TEST( dataSet, gtsam2openGL)
{
Vector3 rotVec(0.2, 0.7, 1.1);
Rot3 R = Rot3::Expmap(rotVec);
Point3 t = Point3(1.0,20.0,10.0);
Pose3 actual = Pose3(R,t);
Pose3 poseGTSAM = openGL2gtsam(R, t.x(), t.y(), t.z());
Pose3 expected = gtsam2openGL(poseGTSAM);
EXPECT(assert_equal(expected,actual));
}
/* ************************************************************************* */
TEST( dataSet, writeBAL_Dubrovnik)
{
///< Read a file using the unit tested readBAL
const string filenameToRead = findExampleDataFile("dubrovnik-3-7-pre");
SfM_data readData;
readBAL(filenameToRead, readData);
// Write readData to file filenameToWrite
const string filenameToWrite = createRewrittenFileName(filenameToRead);
CHECK(writeBAL(filenameToWrite, readData));
// Read what we wrote
SfM_data writtenData;
CHECK(readBAL(filenameToWrite, writtenData));
// Check that what we read is the same as what we wrote
EXPECT(assert_equal(readData.number_cameras(),writtenData.number_cameras()));
EXPECT(assert_equal(readData.number_tracks(),writtenData.number_tracks()));
for (size_t i = 0; i < readData.number_cameras(); i++){
PinholeCamera<Cal3Bundler> expectedCamera = writtenData.cameras[i];
PinholeCamera<Cal3Bundler> actualCamera = readData.cameras[i];
EXPECT(assert_equal(expectedCamera,actualCamera));
}
for (size_t j = 0; j < readData.number_tracks(); j++){
// check point
SfM_Track expectedTrack = writtenData.tracks[j];
SfM_Track actualTrack = readData.tracks[j];
Point3 expectedPoint = expectedTrack.p;
Point3 actualPoint = actualTrack.p;
EXPECT(assert_equal(expectedPoint,actualPoint));
// check rgb
Point3 expectedRGB = Point3( expectedTrack.r, expectedTrack.g, expectedTrack.b );
Point3 actualRGB = Point3( actualTrack.r, actualTrack.g, actualTrack.b);
EXPECT(assert_equal(expectedRGB,actualRGB));
// check measurements
for (size_t k = 0; k < actualTrack.number_measurements(); k++){
EXPECT(assert_equal(expectedTrack.measurements[k].first,actualTrack.measurements[k].first));
EXPECT(assert_equal(expectedTrack.measurements[k].second,actualTrack.measurements[k].second));
}
}
}
/* ************************************************************************* */
TEST( dataSet, writeBALfromValues_Dubrovnik){
///< Read a file using the unit tested readBAL
const string filenameToRead = findExampleDataFile("dubrovnik-3-7-pre");
SfM_data readData;
readBAL(filenameToRead, readData);
Pose3 poseChange = Pose3(Rot3::ypr(-M_PI/10, 0., -M_PI/10), gtsam::Point3(0.3,0.1,0.3));
Values value;
for(size_t i=0; i < readData.number_cameras(); i++){ // for each camera
Key poseKey = symbol('x',i);
Pose3 pose = poseChange.compose(readData.cameras[i].pose());
value.insert(poseKey, pose);
}
for(size_t j=0; j < readData.number_tracks(); j++){ // for each point
Key pointKey = P(j);
Point3 point = poseChange.transform_from( readData.tracks[j].p );
value.insert(pointKey, point);
}
// Write values and readData to a file
const string filenameToWrite = createRewrittenFileName(filenameToRead);
writeBALfromValues(filenameToWrite, readData, value);
// Read the file we wrote
SfM_data writtenData;
readBAL(filenameToWrite, writtenData);
// Check that the reprojection errors are the same and the poses are correct
// Check number of things
EXPECT_LONGS_EQUAL(3,writtenData.number_cameras());
EXPECT_LONGS_EQUAL(7,writtenData.number_tracks());
const SfM_Track& track0 = writtenData.tracks[0];
EXPECT_LONGS_EQUAL(3,track0.number_measurements());
// Check projection of a given point
EXPECT_LONGS_EQUAL(0,track0.measurements[0].first);
const SfM_Camera& camera0 = writtenData.cameras[0];
Point2 expected = camera0.project(track0.p), actual = track0.measurements[0].second;
EXPECT(assert_equal(expected,actual,12));
Pose3 expectedPose = camera0.pose();
Key poseKey = symbol('x',0);
Pose3 actualPose = value.at<Pose3>(poseKey);
EXPECT(assert_equal(expectedPose,actualPose, 1e-7));
Point3 expectedPoint = track0.p;
Key pointKey = P(0);
Point3 actualPoint = value.at<Point3>(pointKey);
EXPECT(assert_equal(expectedPoint,actualPoint, 1e-6));
}
/* ************************************************************************* */
int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
/* ************************************************************************* */
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