77 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			77 lines
		
	
	
		
			2.1 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    timeBatch.cpp
 | 
						|
* @brief   Overall timing tests for batch solving
 | 
						|
* @author  Richard Roberts
 | 
						|
*/
 | 
						|
 | 
						|
#include <gtsam/base/timing.h>
 | 
						|
#include <gtsam/slam/dataset.h>
 | 
						|
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
 | 
						|
#include <gtsam/nonlinear/Marginals.h>
 | 
						|
 | 
						|
using namespace std;
 | 
						|
using namespace gtsam;
 | 
						|
 | 
						|
int main(int argc, char *argv[]) {
 | 
						|
 | 
						|
  try {
 | 
						|
 | 
						|
    cout << "Loading data..." << endl;
 | 
						|
 | 
						|
    string datasetFile = findExampleDataFile("w10000");
 | 
						|
    std::pair<NonlinearFactorGraph::shared_ptr, Values::shared_ptr> data =
 | 
						|
      load2D(datasetFile);
 | 
						|
 | 
						|
    NonlinearFactorGraph graph = *data.first;
 | 
						|
    Values initial = *data.second;
 | 
						|
 | 
						|
    cout << "Optimizing..." << endl;
 | 
						|
 | 
						|
    gttic_(Create_optimizer);
 | 
						|
    LevenbergMarquardtOptimizer optimizer(graph, initial);
 | 
						|
    gttoc_(Create_optimizer);
 | 
						|
    tictoc_print_();
 | 
						|
    double lastError = optimizer.error();
 | 
						|
    do {
 | 
						|
      gttic_(Iterate_optimizer);
 | 
						|
      optimizer.iterate();
 | 
						|
      gttoc_(Iterate_optimizer);
 | 
						|
      tictoc_finishedIteration_();
 | 
						|
      tictoc_print_();
 | 
						|
      cout << "Error: " << optimizer.error() << ", lambda: " << optimizer.lambda() << endl;
 | 
						|
      break;
 | 
						|
    } while(!checkConvergence(optimizer.params().relativeErrorTol,
 | 
						|
      optimizer.params().absoluteErrorTol, optimizer.params().errorTol,
 | 
						|
      lastError, optimizer.error(), optimizer.params().verbosity));
 | 
						|
 | 
						|
    // Compute marginals
 | 
						|
    Marginals marginals(graph, optimizer.values());
 | 
						|
    int i=0;
 | 
						|
    for(Key key: initial.keys()) {
 | 
						|
      gttic_(marginalInformation);
 | 
						|
      Matrix info = marginals.marginalInformation(key);
 | 
						|
      gttoc_(marginalInformation);
 | 
						|
      tictoc_finishedIteration_();
 | 
						|
      if(i % 1000 == 0)
 | 
						|
        tictoc_print_();
 | 
						|
      ++i;
 | 
						|
    }
 | 
						|
 | 
						|
  } catch(std::exception& e) {
 | 
						|
    cout << e.what() << endl;
 | 
						|
    return 1;
 | 
						|
  }
 | 
						|
 | 
						|
  return 0;
 | 
						|
}
 |