too many things... sorry :D
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@@ -100,7 +100,7 @@ struct Data {
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Floorplan::IndoorMap* MyState::map;
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void run(DataSetup setup, int numFile, std::string folder) {
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void run(DataSetup setup, int numFile, std::string folder, std::vector<int> gtPath) {
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std::vector<double> kld_data;
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@@ -143,7 +143,7 @@ void run(DataSetup setup, int numFile, std::string folder) {
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Offline::FileReader fr(setup.training[numFile]);
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//interpolator for ground truth
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Interpolator<uint64_t, Point3> gtInterpolator = fr.getGroundTruthPath(map, Settings::Paths_IPIN2017::path1);
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Interpolator<uint64_t, Point3> gtInterpolator = fr.getGroundTruthPath(map, gtPath);
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//gnuplot plot
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Plotti plot;
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@@ -165,19 +165,23 @@ void run(DataSetup setup, int numFile, std::string folder) {
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//filter init
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//std::unique_ptr<PFInit> init =
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K::ParticleFilterHistory<MyState, MyControl, MyObs> pf(Settings::numParticles, std::unique_ptr<PFInit>(new PFInit(grid)));
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//K::ParticleFilterHistory<MyState, MyControl, MyObs> pf(Settings::numParticles, std::unique_ptr<PFInitFixed>(new PFInitFixed(grid, GridPoint(1120.0f, 750.0f, 1080.0f), 90.0f)));
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//K::ParticleFilterHistory<MyState, MyControl, MyObs> pf(Settings::numParticles, std::unique_ptr<PFInitFixed>(new PFInitFixed(grid, GridPoint(1120.0f, 750.0f, 740.0f), 90.0f)));
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pf.setTransition(std::unique_ptr<PFTrans>(new PFTrans(grid, &ctrl)));
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pf.setEvaluation(std::unique_ptr<PFEval>(new PFEval(WiFiModel, beaconModel, grid)));
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//resampling
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pf.setResampling(std::unique_ptr<K::ParticleFilterResamplingSimple<MyState>>(new K::ParticleFilterResamplingSimple<MyState>()));
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//pf.setResampling(std::unique_ptr<K::ParticleFilterResamplingSimple<MyState>>(new K::ParticleFilterResamplingSimple<MyState>()));
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//pf.setResampling(std::unique_ptr<K::ParticleFilterResamplingPercent<MyState>>(new K::ParticleFilterResamplingPercent<MyState>(0.4)));
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//pf.setResampling(std::unique_ptr<NodeResampling<MyState, MyNode>>(new NodeResampling<MyState, MyNode>(*grid)););
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pf.setResampling(std::unique_ptr<K::ParticleFilterResamplingDivergence<MyState>>(new K::ParticleFilterResamplingDivergence<MyState>()));
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pf.setNEffThreshold(0.95);
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//estimation
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//pf.setEstimation(std::unique_ptr<K::ParticleFilterEstimationWeightedAverage<MyState>>(new K::ParticleFilterEstimationWeightedAverage<MyState>()));
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//pf.setEstimation(std::unique_ptr<K::ParticleFilterEstimationRegionalWeightedAverage<MyState>>(new K::ParticleFilterEstimationRegionalWeightedAverage<MyState>()));
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pf.setEstimation(std::unique_ptr<K::ParticleFilterEstimationOrderedWeightedAverage<MyState>>(new K::ParticleFilterEstimationOrderedWeightedAverage<MyState>(0.95)));
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pf.setEstimation(std::unique_ptr<K::ParticleFilterEstimationOrderedWeightedAverage<MyState>>(new K::ParticleFilterEstimationOrderedWeightedAverage<MyState>(0.5)));
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//pf.setEstimation(std::unique_ptr<K::ParticleFilterEstimationKernelDensity<MyState, 3>>(new K::ParticleFilterEstimationKernelDensity<MyState, 3>()));
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@@ -191,6 +195,10 @@ void run(DataSetup setup, int numFile, std::string folder) {
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K::Statistics<float> errorStats;
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//calc wi-fi prob for every node and get mean vector
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WiFiObserverFree wiFiProbability(Settings::WiFiModel::sigma, WiFiModel);
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//file writing for error data
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long int t = static_cast<long int>(time(NULL));
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std::ofstream errorFile;
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@@ -241,17 +249,34 @@ void run(DataSetup setup, int numFile, std::string folder) {
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obs.currentTime = ts;
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MyState est = pf.update(&ctrl, obs);
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const WiFiMeasurements wifiObs = Settings::WiFiModel::vg_eval.group(obs.wifi);
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std::vector<MyNode> allNodes = grid.getNodes();
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std::vector<K::Particle<MyState>> particleWifi;
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for(MyNode node : allNodes){
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double prob = wiFiProbability.getProbability(node, ts, wifiObs);
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K::Particle<MyState> tmp (MyState(GridPoint(node.x_cm, node.y_cm, node.z_cm)), prob);
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particleWifi.push_back(tmp);
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}
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if(kld_data.empty()){
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kld_data.push_back(0.0);
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}
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std::function<double(std::vector<K::Particle<MyState>>&, MyState, std::vector<K::Particle<MyState>>&)> kldFunc = getKernelDensityProbability;
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//std::function<double(std::vector<K::Particle<MyState>>&, MyState, std::vector<K::Particle<MyState>>&)> kldFunc = kldFromMultivariatNormal;
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double kld = 0.0;
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MyState est = pf.update(&ctrl, obs, particleWifi, kldFunc, kld);
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Point3 estPos = est.position.inMeter();
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//double kld = getKernelDensityProbability(pf, WiFiModel, obs, grid, ts, plot);
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double kld = kldFromMultivariatNormal(pf, estPos, WiFiModel, obs, grid, ts, plot);
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//double kld = kldFromMultivariatNormal(pf, estPos, particleWifi, plot);
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kld_data.push_back(kld);
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//current ground truth position
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Point3 gtPos = gtInterpolator.get(static_cast<uint64_t>(ts.ms()));
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/** plotting stuff */
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plot.pInterest.clear();
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@@ -289,25 +314,6 @@ void run(DataSetup setup, int numFile, std::string folder) {
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// reset control
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ctrl.resetAfterTransition();
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//plot image files
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// for(int i = 0; i < map->floors.size(); ++i){
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// plot.printSingleFloor("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t++), i);
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// plot.show();
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// usleep(10*10);
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// }
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// plot.printSideView("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t++), 90);
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// plot.show();
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// plot.printSideView("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t++), 0);
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// plot.show();
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// plot.printOverview("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t++));
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// plot.show();
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// //reset to qt window
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// plot.gp << "set terminal qt size 800,600\n";
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}
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}
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@@ -323,20 +329,20 @@ void run(DataSetup setup, int numFile, std::string folder) {
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plot.saveToFile(plotFile);
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plotFile.close();
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// for(int i = 0; i < map->floors.size(); ++i){
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// plot.printSingleFloor("/home/toni/Documents/programme/localization/IPIN2016/competition/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), i);
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// plot.show();
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// usleep(1000*10);
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// }
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for(int i = 0; i < map->floors.size(); ++i){
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plot.printSingleFloor("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), i);
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plot.show();
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usleep(10*10);
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}
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// plot.printSideView("/home/toni/Documents/programme/localization/IPIN2016/competition/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), 90);
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// plot.show();
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plot.printSideView("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), 90);
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plot.show();
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// plot.printSideView("/home/toni/Documents/programme/localization/IPIN2016/competition/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), 0);
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// plot.show();
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plot.printSideView("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t), 0);
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plot.show();
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// plot.printOverview("/home/toni/Documents/programme/localization/IPIN2016/competition/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t));
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// plot.show();
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plot.printOverview("/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t));
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plot.show();
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//draw kld
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@@ -344,6 +350,11 @@ void run(DataSetup setup, int numFile, std::string folder) {
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K::GnuplotPlot plotkld;
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K::GnuplotPlotElementLines lines;
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//save as screenshot
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std::string path = "/home/toni/Documents/programme/localization/IPIN2017/code/eval/"+ folder + "/image" + std::to_string(numFile) + "_" + std::to_string(t);
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gp << "set terminal png size 1280,720\n";
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gp << "set output '" << path << "_shennendistance.png'\n";
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for(int i=0; i < kld_data.size()-1; ++i){
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K::GnuplotPoint2 p1(i, kld_data[i]);
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@@ -353,11 +364,11 @@ void run(DataSetup setup, int numFile, std::string folder) {
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}
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plotkld.add(&lines);
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gp.draw(plotkld);
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gp.flush();
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sleep(1000);
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std::cout << "finished" << std::endl;
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sleep(1);
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}
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@@ -367,7 +378,12 @@ int main(int argc, char** argv) {
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//run(data.BERKWERK, 6, "EVALBERGWERK"); // Nexus vor
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//for(int i = 0; i < 5; ++i){
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run(data.IPIN2017, 0, "ipin2017"); // Nexus Path2
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//run(data.IPIN2017, 0, "ipin2017"); // Nexus Path2
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//run(data.IPIN2017, 1, "ipin2017");
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run(data.IPIN2017, 4, "ipin2017", Settings::Paths_IPIN2017::path3);
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run(data.IPIN2017, 2, "ipin2017", Settings::Paths_IPIN2017::path2);
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run(data.IPIN2017, 5, "ipin2017", Settings::Paths_IPIN2017::path3);
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run(data.IPIN2017, 3, "ipin2017", Settings::Paths_IPIN2017::path2);
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//}
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}
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