71 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			71 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			C++
		
	
	
| /* ----------------------------------------------------------------------------
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| 
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|  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
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|  * Atlanta, Georgia 30332-0415
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|  * All Rights Reserved
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|  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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| 
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|  * See LICENSE for the license information
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| 
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|  * -------------------------------------------------------------------------- */
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| 
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| /**
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|  * @file testGeneralSFMFactorB.cpp
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|  * @author Frank Dellaert
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|  * @brief test general SFM class, with nonlinear optimization and BAL files
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|  */
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| 
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| #include <gtsam/sfm/SfmData.h>
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| #include <gtsam/slam/dataset.h>
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| #include <gtsam/slam/GeneralSFMFactor.h>
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| #include <gtsam/geometry/Point3.h>
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| #include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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| #include <gtsam/nonlinear/NonlinearFactorGraph.h>
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| #include <gtsam/nonlinear/NonlinearOptimizer.h>
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| #include <gtsam/nonlinear/Values.h>
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| #include <gtsam/inference/Symbol.h>
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| #include <gtsam/linear/NoiseModel.h>
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| 
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| #include <CppUnitLite/Failure.h>
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| #include <CppUnitLite/Test.h>
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| #include <CppUnitLite/TestRegistry.h>
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| #include <CppUnitLite/TestResult.h>
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| #include <stddef.h>
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| #include <stdexcept>
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| #include <string>
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| 
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| using namespace std;
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| using namespace gtsam;
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| 
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| typedef GeneralSFMFactor<PinholeCamera<Cal3Bundler>, Point3> sfmFactor;
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| using symbol_shorthand::P;
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| 
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| /* ************************************************************************* */
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| TEST(PinholeCamera, BAL) {
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|   string filename = findExampleDataFile("dubrovnik-3-7-pre");
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|   SfmData db = SfmData::FromBalFile(filename);
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| 
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|   SharedNoiseModel unit2 = noiseModel::Unit::Create(2);
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|   NonlinearFactorGraph graph;
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| 
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|   for (size_t j = 0; j < db.numberTracks(); j++) {
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|     for (const SfmMeasurement& m: db.tracks[j].measurements)
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|       graph.emplace_shared<sfmFactor>(m.second, unit2, m.first, P(j));
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|   }
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| 
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|   Values initial = initialCamerasAndPointsEstimate(db);
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| 
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|   LevenbergMarquardtOptimizer lm(graph, initial);
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| 
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|   Values actual = lm.optimize();
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|   double actualError = graph.error(actual);
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|   EXPECT_DOUBLES_EQUAL(0.0199833, actualError, 1e-5);
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| }
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| 
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| /* ************************************************************************* */
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| int main() {
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|   TestResult tr;
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|   return TestRegistry::runAllTests(tr);
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| }
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| /* ************************************************************************* */
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