gtsam/tests/timeSequentialOnDataset.cpp

82 lines
2.2 KiB
C++

/* ----------------------------------------------------------------------------
* 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 timeSequentialOnDataset.cpp
* @author Richard Roberts
* @date Oct 7, 2010
*/
#include <gtsam/base/timing.h>
#include <gtsam/slam/dataset.h>
#include <gtsam/linear/GaussianFactorGraph.h>
#include <gtsam/linear/GaussianSequentialSolver.h>
using namespace std;
using namespace gtsam;
using namespace boost;
int main(int argc, char *argv[]) {
string datasetname;
bool soft_prior = true;
if(argc > 1)
datasetname = argv[1];
else
datasetname = "intel";
// check if there should be a constraint
if (argc == 3 && string(argv[2]).compare("-c") == 0)
soft_prior = false;
// find the number of trials - default is 10
size_t nrTrials = 10;
if (argc == 3 && string(argv[2]).compare("-c") != 0)
nrTrials = strtoul(argv[2], NULL, 10);
else if (argc == 4)
nrTrials = strtoul(argv[3], NULL, 10);
pair<boost::shared_ptr<pose2SLAM::Graph>, boost::shared_ptr<Values> > data = load2D(dataset(datasetname));
// Add a prior on the first pose
if (soft_prior)
data.first->addPrior(0, Pose2(), noiseModel::Isotropic::Sigma(Pose2::Dim(), 0.0005));
else
data.first->addPoseConstraint(0, Pose2());
tic_(1, "order");
Ordering::shared_ptr ordering(data.first->orderingCOLAMD(*data.second));
toc_(1, "order");
tictoc_print_();
tic_(2, "linearize");
GaussianFactorGraph::shared_ptr gfg(data.first->linearize(*data.second, *ordering)->dynamicCastFactors<GaussianFactorGraph>());
toc_(2, "linearize");
tictoc_print_();
for(size_t trial = 0; trial < nrTrials; ++trial) {
tic_(3, "solve");
tic(1, "construct solver");
GaussianSequentialSolver solver(*gfg);
toc(1, "construct solver");
tic(2, "optimize");
VectorValues soln(*solver.optimize());
toc(2, "optimize");
toc_(3, "solve");
tictoc_print_();
}
return 0;
}