[10] | 1 | // %flair:license{
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[15] | 2 | // This file is part of the Flair framework distributed under the
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| 3 | // CECILL-C License, Version 1.0.
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[10] | 4 | // %flair:license}
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[7] | 5 | // created: 2013/04/08
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| 6 | // filename: MetaVrpnObject.cpp
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| 7 | //
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| 8 | // author: Guillaume Sanahuja
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| 9 | // Copyright Heudiasyc UMR UTC/CNRS 7253
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| 10 | //
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| 11 | // version: $Id: $
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| 12 | //
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| 13 | // purpose: objet integrant objet vrpn et une dérivée
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| 14 | // d'euler
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| 15 | //
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| 16 | //
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| 17 | /*********************************************************************/
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| 18 |
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| 19 | #include "MetaVrpnObject.h"
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| 20 | #include "VrpnClient.h"
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| 21 | #include <EulerDerivative.h>
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| 22 | #include <LowPassFilter.h>
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| 23 | #include <IODevice.h>
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| 24 | #include <GridLayout.h>
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| 25 | #include <DataPlot1D.h>
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| 26 | #include <DataPlot2D.h>
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| 27 | #include <Tab.h>
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| 28 | #include <TabWidget.h>
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| 29 | #include <cvmatrix.h>
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| 30 |
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[15] | 31 | using std::string;
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[7] | 32 | using namespace flair::core;
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| 33 | using namespace flair::gui;
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| 34 | using namespace flair::sensor;
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| 35 | using namespace flair::filter;
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| 36 |
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[15] | 37 | namespace flair {
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| 38 | namespace meta {
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| 39 |
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[122] | 40 | MetaVrpnObject::MetaVrpnObject(string name)
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| 41 | : VrpnObject( name, GetVrpnClient()->GetTabWidget()) {
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| 42 | ConstructorCommon(name);
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[7] | 43 | }
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| 44 |
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[122] | 45 | MetaVrpnObject::MetaVrpnObject(std::string name,
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[15] | 46 | uint8_t id)
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[122] | 47 | : VrpnObject(name, id, GetVrpnClient()->GetTabWidget()) {
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| 48 | ConstructorCommon( name);
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[7] | 49 | }
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| 50 |
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[122] | 51 | void MetaVrpnObject::ConstructorCommon(string name) {
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[135] | 52 | cvmatrix_descriptor *desc = new cvmatrix_descriptor(7, 1);
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| 53 | for (int i = 0; i < desc->Rows(); i++) {
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[15] | 54 | desc->SetElementName(i, 0, Output()->Name(i, 0));
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| 55 | }
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[167] | 56 | cvmatrix *prev_value = new cvmatrix(this, desc, floatType, name);
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[148] | 57 | delete desc;
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[7] | 58 |
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[122] | 59 | pbas = new LowPassFilter(this, GetVrpnClient()->GetLayout()->NewRow(),
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[15] | 60 | name + " Passe bas", prev_value);
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[147] | 61 | delete prev_value;
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[7] | 62 |
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[135] | 63 | desc = new cvmatrix_descriptor(7, 1);
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| 64 | for (int i = 0; i < desc->Rows(); i++) {
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[15] | 65 | desc->SetElementName(i, 0, "d" + Output()->Name(i, 0));
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| 66 | }
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[167] | 67 | prev_value = new cvmatrix(this, desc, floatType, name);
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[148] | 68 | delete desc;
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[7] | 69 |
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[122] | 70 | euler = new EulerDerivative(pbas, GetVrpnClient()->GetLayout()->NewRow(),
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[15] | 71 | name + "_euler", prev_value);
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[147] | 72 | delete prev_value;
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[7] | 73 |
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[15] | 74 | vx_opti_plot = new DataPlot1D(GetPlotTab()->NewRow(), "vx", -3, 3);
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[135] | 75 | vx_opti_plot->AddCurve(euler->Matrix()->Element(4));
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[15] | 76 | vy_opti_plot = new DataPlot1D(GetPlotTab()->LastRowLastCol(), "vy", -3, 3);
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[135] | 77 | vy_opti_plot->AddCurve(euler->Matrix()->Element(5));
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[15] | 78 | vz_opti_plot = new DataPlot1D(GetPlotTab()->LastRowLastCol(), "vz", -2, 2);
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[135] | 79 | vz_opti_plot->AddCurve(euler->Matrix()->Element(6));
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[7] | 80 |
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[122] | 81 | plot_tab = new Tab(GetVrpnClient()->GetTabWidget(), "Mesures (xy) " + name);
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[15] | 82 | xy_plot = new DataPlot2D(plot_tab->NewRow(), "xy", "y", -5, 5, "x", -5, 5);
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[135] | 83 | xy_plot->AddCurve(Output()->Element(5, 0), Output()->Element(4, 0));
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[7] | 84 | }
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| 85 |
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[15] | 86 | MetaVrpnObject::~MetaVrpnObject() { delete plot_tab; }
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[7] | 87 |
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[15] | 88 | DataPlot1D *MetaVrpnObject::VxPlot(void) const { return vx_opti_plot; }
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[7] | 89 |
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[15] | 90 | DataPlot1D *MetaVrpnObject::VyPlot(void) const { return vy_opti_plot; }
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[7] | 91 |
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[15] | 92 | DataPlot1D *MetaVrpnObject::VzPlot(void) const { return vz_opti_plot; }
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[7] | 93 |
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[15] | 94 | DataPlot2D *MetaVrpnObject::XyPlot(void) const { return xy_plot; }
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[7] | 95 |
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[167] | 96 | void MetaVrpnObject::GetSpeed(Vector3Df &speed) const {
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[135] | 97 | speed.x = euler->Output(4, 0);
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| 98 | speed.y = euler->Output(5, 0);
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| 99 | speed.z = euler->Output(6, 0);
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[7] | 100 | }
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| 101 |
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| 102 | } // end namespace sensor
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[170] | 103 | } // end namespace flair
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