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