gtsam/cpp/dataset.cpp

211 lines
6.5 KiB
C++

/*
* dataset.cpp
*
* Created on: Jan 22, 2010
* Author: nikai
* Description: utility functions for loading datasets
*/
#include <fstream>
#include <sstream>
#include <cstdlib>
#include "graph-inl.h"
#include "dataset.h"
using namespace std;
using namespace gtsam;
#define LINESIZE 81920
typedef boost::shared_ptr<Pose2Graph> sharedPose2Graph;
typedef boost::shared_ptr<Pose2Config> sharedPose2Config;
namespace gtsam {
/* ************************************************************************* */
pair<string, boost::optional<SharedDiagonal> > dataset(const string& dataset, const string& user_path) {
string path = user_path, set = dataset;
boost::optional<SharedDiagonal> null_model;
boost::optional<SharedDiagonal> identity(noiseModel::Unit::Create(3));
boost::optional<SharedDiagonal> small(noiseModel::Diagonal::Variances(
gtsam::Vector_(3, 0.0001, 0.0001, 0.0003)));
if (path.empty()) path = string(getenv("HOME")) + "/";
if (set.empty()) set = string(getenv("DATASET"));
if (set == "intel") return make_pair(path + "data/iSAM/Laser/intel.graph", null_model);
if (set == "intel-gfs") return make_pair(path + "data/iSAM/Laser/intel.gfs.graph", null_model);
if (set == "Killian-gfs") return make_pair(path + "data/iSAM/Laser/Killian.gfs.graph", null_model);
if (set == "Killian") return make_pair(path + "data/iSAM/Laser/Killian.graph", small);
if (set == "Killian-noised") return make_pair(path + "data/iSAM/Laser/Killian-noised.graph", null_model);
if (set == "3") return make_pair(path + "borg/toro/data/2D/w3-odom.graph", identity);
if (set == "100") return make_pair(path + "borg/toro/data/2D/w100-odom.graph", identity);
if (set == "10K") return make_pair(path + "borg/toro/data/2D/w10000-odom.graph", identity);
if (set == "olson") return make_pair(path + "data/iSAM/ISAM2/olson06icra.txt", null_model);
if (set == "victoria") return make_pair(path + "data/iSAM/ISAM2/victoria_park.txt", null_model);
if (set == "beijing") return make_pair(path + "data/BeijingData/beijingData_trips.log", null_model);
if (set == "10K_tree") return make_pair(path + "borg/CitySLAM/data/10k.tree", identity);
if (set == "10K_cnstr") return make_pair(path + "borg/CitySLAM/data/10k.cnstr", identity);
return make_pair("unknown", null_model);
}
/* ************************************************************************* */
pair<sharedPose2Graph, sharedPose2Config> load2D(
pair<string, boost::optional<SharedDiagonal> > dataset,
int maxID, bool addNoise, bool smart) {
return load2D(dataset.first, dataset.second, maxID, addNoise, smart);
}
pair<sharedPose2Graph, sharedPose2Config> load2D(const string& filename,
boost::optional<SharedDiagonal> model, int maxID, bool addNoise, bool smart) {
cout << "Will try to read " << filename << endl;
ifstream is(filename.c_str());
if (!is) {
cout << "load2D: can not find the file!";
exit(-1);
}
sharedPose2Config poses(new Pose2Config);
sharedPose2Graph graph(new Pose2Graph);
string tag;
// load the poses
bool firstPose;
while (is) {
is >> tag;
if ((tag == "VERTEX2") || (tag == "VERTEX")) {
int id;
double x, y, yaw;
is >> id >> x >> y >> yaw;
// optional filter
if (maxID && id >= maxID) continue;
poses->insert(id, Pose2(x, y, yaw));
}
is.ignore(LINESIZE, '\n');
}
is.clear(); /* clears the end-of-file and error flags */
is.seekg(0, ios::beg);
// load the factors
while (is) {
is >> tag;
if ((tag == "EDGE2") || (tag == "EDGE") || (tag == "ODOMETRY")) {
int id1, id2;
double x, y, yaw;
is >> id1 >> id2 >> x >> y >> yaw;
Matrix m = eye(3);
is >> m(0, 0) >> m(0, 1) >> m(1, 1) >> m(2, 2) >> m(0, 2) >> m(1, 2);
m(2, 0) = m(0, 2);
m(2, 1) = m(1, 2);
m(1, 0) = m(0, 1);
// optional filter
if (maxID && (id1 >= maxID || id2 >= maxID)) continue;
Pose2 l1Xl2(x, y, yaw);
// SharedGaussian noise = noiseModel::Gaussian::Covariance(m, smart);
if (!model) {
Vector variances = Vector_(3,m(1,1),m(2,2),m(3,3));
model = noiseModel::Diagonal::Variances(variances, smart);
}
if (addNoise)
l1Xl2 = expmap(l1Xl2,(*model)->sample());
// Insert vertices if pure odometry file
if (!poses->exists(id1)) poses->insert(id1, Pose2());
if (!poses->exists(id2)) poses->insert(id2, poses->at(id1) * l1Xl2);
Pose2Graph::sharedFactor factor(new Pose2Factor(id1, id2, l1Xl2, *model));
graph->push_back(factor);
}
is.ignore(LINESIZE, '\n');
}
cout << "load2D read a graph file with " << poses->size() << " vertices and "
<< graph->nrFactors() << " factors" << endl;
return make_pair(graph, poses);
}
/* ************************************************************************* */
void save2D(const Pose2Graph& graph, const Pose2Config& config, const SharedDiagonal model,
const string& filename) {
typedef Pose2Config::Key Key;
fstream stream(filename.c_str(), fstream::out);
// save poses
Pose2Config::Key key;
Pose2 pose;
BOOST_FOREACH(boost::tie(key, pose), config)
stream << "VERTEX2 " << key.index() << " " << pose.x() << " " << pose.y() << " " << pose.theta() << endl;
// save edges
Matrix R = model->R();
Matrix RR = prod(trans(R),R);
BOOST_FOREACH(boost::shared_ptr<NonlinearFactor<Pose2Config> > factor_, graph) {
boost::shared_ptr<Pose2Factor> factor = boost::dynamic_pointer_cast<Pose2Factor>(factor_);
if (!factor) continue;
pose = inverse(factor->measured());
stream << "EDGE2 " << factor->key2().index() << " " << factor->key1().index()
<< " " << pose.x() << " " << pose.y() << " " << pose.theta()
<< " " << RR(0, 0) << " " << RR(0, 1) << " " << RR(1, 1) << " " << RR(2, 2)
<< " " << RR(0, 2) << " " << RR(1, 2) << endl;
}
stream.close();
}
/* ************************************************************************* */
bool load3D(const string& filename) {
ifstream is(filename.c_str());
if (!is) return false;
while (is) {
char buf[LINESIZE];
is.getline(buf, LINESIZE);
istringstream ls(buf);
string tag;
ls >> tag;
if (tag == "VERTEX3") {
int id;
double x, y, z, roll, pitch, yaw;
ls >> id >> x >> y >> z >> roll >> pitch >> yaw;
}
}
is.clear(); /* clears the end-of-file and error flags */
is.seekg(0, ios::beg);
bool edgesOk = true;
while (is) {
char buf[LINESIZE];
is.getline(buf, LINESIZE);
istringstream ls(buf);
string tag;
ls >> tag;
if (tag == "EDGE3") {
int id1, id2;
double x, y, z, roll, pitch, yaw;
ls >> id1 >> id2 >> x >> y >> z >> roll >> pitch >> yaw;
Matrix m = eye(6);
for (int i = 0; i < 6; i++)
for (int j = i; j < 6; j++)
ls >> m(i, j);
}
}
return true;
}
}