added possibility to specify number of iterations
parent
e3ec28ebeb
commit
3d06a737bf
|
@ -45,11 +45,21 @@ int main(const int argc, const char *argv[]) {
|
|||
noiseModel::Diagonal::Variances((Vector(3) << 1e-6, 1e-6, 1e-8));
|
||||
graphWithPrior.add(PriorFactor<Pose2>(0, Pose2(), priorModel));
|
||||
|
||||
GaussNewtonParams params;
|
||||
params.setVerbosity("TERMINATION");
|
||||
if (argc == 4) {
|
||||
params.maxIterations = atoi(argv[3]);
|
||||
std::cout << "User required to perform " << params.maxIterations << " iterations "<< std::endl;
|
||||
}
|
||||
|
||||
std::cout << "Optimizing the factor graph" << std::endl;
|
||||
GaussNewtonOptimizer optimizer(graphWithPrior, *initial);
|
||||
GaussNewtonOptimizer optimizer(graphWithPrior, *initial, params);
|
||||
Values result = optimizer.optimize();
|
||||
std::cout << "Optimization complete" << std::endl;
|
||||
|
||||
std::cout << "initial error=" <<graph->error(*initial)<< std::endl;
|
||||
std::cout << "final error=" <<graph->error(result)<< std::endl;
|
||||
|
||||
if (argc < 3) {
|
||||
result.print("result");
|
||||
} else {
|
||||
|
|
|
@ -0,0 +1,73 @@
|
|||
/* ----------------------------------------------------------------------------
|
||||
|
||||
* 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 Pose3SLAMExample_initializePose3.cpp
|
||||
* @brief A 3D Pose SLAM example that reads input from g2o, and initializes the Pose3 using InitializePose3
|
||||
* Syntax for the script is ./Pose3SLAMExample_initializePose3 input.g2o output.g2o rewritted.g2o
|
||||
* @date Aug 25, 2014
|
||||
* @author Luca Carlone
|
||||
*/
|
||||
|
||||
#include <gtsam/slam/InitializePose3.h>
|
||||
#include <gtsam/slam/dataset.h>
|
||||
#include <gtsam/slam/BetweenFactor.h>
|
||||
#include <gtsam/slam/PriorFactor.h>
|
||||
#include <fstream>
|
||||
|
||||
using namespace std;
|
||||
using namespace gtsam;
|
||||
|
||||
int main(const int argc, const char *argv[]) {
|
||||
|
||||
// Read graph from file
|
||||
string g2oFile;
|
||||
if (argc < 2)
|
||||
g2oFile = findExampleDataFile("pose3example.txt");
|
||||
else
|
||||
g2oFile = argv[1];
|
||||
|
||||
NonlinearFactorGraph::shared_ptr graph;
|
||||
Values::shared_ptr initial;
|
||||
bool is3D = true;
|
||||
boost::tie(graph, initial) = readG2o(g2oFile, is3D);
|
||||
|
||||
Key firstKey = 8646911284551352320;
|
||||
|
||||
std::cout << "Using reference key: " << firstKey << std::endl;
|
||||
|
||||
if (argc < 3) {
|
||||
std::cout << "Please provide output file to write " << std::endl;
|
||||
} else {
|
||||
const string inputFileRewritten = argv[2];
|
||||
std::cout << "Rewriting input to file: " << inputFileRewritten << std::endl;
|
||||
// Additional: rewrite input with simplified keys 0,1,...
|
||||
Values simpleInitial;
|
||||
BOOST_FOREACH(const Values::ConstKeyValuePair& key_value, *initial) {
|
||||
Key key = key_value.key + firstKey;
|
||||
simpleInitial.insert(key, initial->at(key_value.key));
|
||||
}
|
||||
NonlinearFactorGraph simpleGraph;
|
||||
BOOST_FOREACH(const boost::shared_ptr<NonlinearFactor>& factor, *graph) {
|
||||
boost::shared_ptr<BetweenFactor<Pose3> > pose3Between =
|
||||
boost::dynamic_pointer_cast<BetweenFactor<Pose3> >(factor);
|
||||
if (pose3Between){
|
||||
Key key1 = pose3Between->key1() + firstKey;
|
||||
Key key2 = pose3Between->key2() + firstKey;
|
||||
NonlinearFactor::shared_ptr simpleFactor(
|
||||
new BetweenFactor<Pose3>(key1, key2, pose3Between->measured(), pose3Between->get_noiseModel()));
|
||||
simpleGraph.add(simpleFactor);
|
||||
}
|
||||
}
|
||||
writeG2o(simpleGraph, simpleInitial, inputFileRewritten);
|
||||
}
|
||||
return 0;
|
||||
}
|
|
@ -334,7 +334,7 @@ Values computePoses(NonlinearFactorGraph& pose3graph, Values& initialRot) {
|
|||
|
||||
// Create optimizer
|
||||
GaussNewtonParams params;
|
||||
bool singleIter = false;
|
||||
bool singleIter = true;
|
||||
if(singleIter){
|
||||
params.maxIterations = 1;
|
||||
}else{
|
||||
|
|
Loading…
Reference in New Issue