add in a COLAMD vs METIS exmaple

release/4.3a0
zhaoyang 2015-02-18 23:36:31 -05:00
parent 8d89529c98
commit 3b1c6b1b1e
1 changed files with 145 additions and 0 deletions

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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 SFMExample.cpp
* @brief This file is to compare the ordering performance for COLAMD vs METIS.
* Example problem is to solve a structure-from-motion problem from a "Bundle Adjustment in the Large" file.
* @author Frank Dellaert, Zhaoyang Lv
*/
// For an explanation of headers, see SFMExample.cpp
#include <gtsam/inference/Symbol.h>
#include <gtsam/nonlinear/NonlinearFactorGraph.h>
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
#include <gtsam/slam/PriorFactor.h>
#include <gtsam/slam/GeneralSFMFactor.h>
#include <gtsam/slam/dataset.h> // for loading BAL datasets !
#include <vector>
using namespace std;
using namespace gtsam;
using symbol_shorthand::C;
using symbol_shorthand::P;
// We will be using a projection factor that ties a SFM_Camera to a 3D point.
// An SFM_Camera is defined in datase.h as a camera with unknown Cal3Bundler calibration
// and has a total of 9 free parameters
typedef GeneralSFMFactor<SfM_Camera,Point3> MyFactor;
/* ************************************************************************* */
int main (int argc, char* argv[]) {
// Find default file, but if an argument is given, try loading a file
string filename = findExampleDataFile("dubrovnik-3-7-pre");
if (argc>1) filename = string(argv[1]);
// Load the SfM data from file
SfM_data mydata;
readBAL(filename, mydata);
cout << boost::format("read %1% tracks on %2% cameras\n") % mydata.number_tracks() % mydata.number_cameras();
// Create a factor graph
NonlinearFactorGraph graph;
// We share *one* noiseModel between all projection factors
noiseModel::Isotropic::shared_ptr noise =
noiseModel::Isotropic::Sigma(2, 1.0); // one pixel in u and v
// Add measurements to the factor graph
size_t j = 0;
BOOST_FOREACH(const SfM_Track& track, mydata.tracks) {
BOOST_FOREACH(const SfM_Measurement& m, track.measurements) {
size_t i = m.first;
Point2 uv = m.second;
graph.push_back(MyFactor(uv, noise, C(i), P(j))); // note use of shorthand symbols C and P
}
j += 1;
}
// Add a prior on pose x1. This indirectly specifies where the origin is.
// and a prior on the position of the first landmark to fix the scale
graph.push_back(PriorFactor<SfM_Camera>(C(0), mydata.cameras[0], noiseModel::Isotropic::Sigma(9, 0.1)));
graph.push_back(PriorFactor<Point3> (P(0), mydata.tracks[0].p, noiseModel::Isotropic::Sigma(3, 0.1)));
// Create initial estimate
Values initial;
size_t i = 0; j = 0;
BOOST_FOREACH(const SfM_Camera& camera, mydata.cameras) initial.insert(C(i++), camera);
BOOST_FOREACH(const SfM_Track& track, mydata.tracks) initial.insert(P(j++), track.p);
/** ---------------------------------------------------**/
/* With COLAMD, optimize the graph and print the results */
cout << "Optimize with COLAMD..." << endl;
Values result_COLAMD;
try {
double tic_t = clock();
LevenbergMarquardtParams params_using_COLAMD;
params_using_COLAMD.setVerbosity("ERROR");
params_using_COLAMD.ordering = Ordering::Create(Ordering::COLAMD, graph);
double toc_t = (clock() - tic_t)/CLOCKS_PER_SEC;
tic_t = clock();
LevenbergMarquardtOptimizer lm(graph, initial, params_using_COLAMD);
result_COLAMD = lm.optimize();
tic_t = clock();
cout << "Ordering: " << toc_t << "seconds" << endl;
cout << "Solving: " << (clock() - tic_t)/CLOCKS_PER_SEC << "seconds" << endl;
} catch (exception& e) {
cout << e.what();
}
// To see the error, check SFMExample_bal.cpp file
//cout << "final error: " << graph.error(result_COLAMD) << endl;
/** ---------------------------------------------------**/
/* with METIS, optimize the graph and print the results */
cout << "Optimize with METIS" << endl;
Values results_METIS;
try {
double tic_t = clock();
LevenbergMarquardtParams params_using_METIS;
params_using_METIS.setVerbosity("ERROR");
params_using_METIS.ordering = Ordering::Create(Ordering::METIS, graph);
double toc_t = (clock() - tic_t)/CLOCKS_PER_SEC;
tic_t = clock();
LevenbergMarquardtOptimizer lm(graph, initial, params_using_METIS);
results_METIS = lm.optimize();
tic_t = clock();
cout << "Ordering: " << toc_t << "seconds" << endl;
cout << "Solving: " << (clock() - tic_t)/CLOCKS_PER_SEC << "seconds" << endl;
} catch (exception& e) {
cout << e.what();
}
return 0;
}
/* ************************************************************************* */