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   26 using namespace gtsam;
 
   28 int main(
const int argc, 
const char* argv[]) {
 
   42   auto priorModel = noiseModel::Diagonal::Variances(
 
   43       (
Vector(6) << 1
e-6, 1
e-6, 1
e-6, 1
e-4, 1
e-4, 1
e-4).finished());
 
   46     std::cout << 
"Adding prior to g2o file " << std::endl;
 
   52   std::cout << 
"Optimizing the factor graph" << std::endl;
 
   54   params.setVerbosity(
"TERMINATION");  
 
   57   std::cout << 
"Optimization complete" << std::endl;
 
   66     std::cout << 
"Writing results to file: " << 
outputFile << std::endl;
 
   71     std::cout << 
"done! " << std::endl;
 
  
virtual const Values & optimize()
Array< double, 1, 3 > e(1./3., 0.5, 2.)
GraphAndValues readG2o(const std::string &g2oFile, const bool is3D, KernelFunctionType kernelFunctionType)
This function parses a g2o file and stores the measurements into a NonlinearFactorGraph and the initi...
static const SmartProjectionParams params
double error(const Values &values) const
utility functions for loading datasets
void addPrior(Key key, const T &prior, const SharedNoiseModel &model=nullptr)
int main(const int argc, const char *argv[])
const gtsam::Symbol key('X', 0)
void print(const std::string &str="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const
GTSAM_EXPORT std::string findExampleDataFile(const std::string &name)
NonlinearFactorGraph graph
std::uint64_t Key
Integer nonlinear key type.
Eigen::Matrix< double, Eigen::Dynamic, 1 > Vector
std::shared_ptr< This > shared_ptr
void writeG2o(const NonlinearFactorGraph &graph, const Values &estimate, const std::string &filename)
This function writes a g2o file from NonlinearFactorGraph and a Values structure.
gtsam
Author(s): 
autogenerated on Wed May 28 2025 03:02:35