mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2025-12-06 11:36:51 +03:00
662 lines
22 KiB
C++
662 lines
22 KiB
C++
#include "ClassFlowCNNGeneral.h"
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#include <math.h>
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#include <iomanip>
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#include <sys/types.h>
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#include <sstream> // std::stringstream
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#include "CTfLiteClass.h"
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#include "ClassLogFile.h"
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static const char* TAG = "flow_analog";
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bool debugdetailgeneral = true;
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ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG)
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{
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string cnnmodelfile = "";
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modelxsize = 1;
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modelysize = 1;
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ListFlowControll = NULL;
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previousElement = NULL;
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SaveAllFiles = false;
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disabled = false;
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// extendedResolution = false;
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isLogImageSelect = false;
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CNNType = AutoDetect;
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CNNType = _cnntype;
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flowpostalignment = _flowalign;
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}
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/*
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int ClassFlowCNNGeneral::AnzahlROIs(int _analog = 0)
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{
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int zw = GENERAL[_analog]->ROI.size();
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if (extendedResolution && (CNNType != Digital)) zw++; // da letzte Ziffer inkl Nachhkomma, es sei denn, das Nachkomma gibt es nicht (Digital)
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return zw;
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}
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*/
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string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution = false)
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{
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string result = "";
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if (GENERAL[_analog]->ROI.size() == 0)
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return result;
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if (CNNType == Analogue)
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{
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float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
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int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
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int prev = -1;
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prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
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result = std::to_string(prev);
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if (_extendedResolution && (CNNType != Digital))
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result = result + std::to_string(ergebnis_nachkomma);
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for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
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{
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prev = ZeigerEval(GENERAL[_analog]->ROI[i]->result_float, prev);
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result = std::to_string(prev) + result;
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}
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}
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if (CNNType == Digital)
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{
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for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
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{
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if (GENERAL[_analog]->ROI[i]->result_klasse >= 10)
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result = result + "N";
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else
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result = result + std::to_string(GENERAL[_analog]->ROI[i]->result_klasse);
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}
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}
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if (CNNType == DigitalHyprid)
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{
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// int ergebnis_nachkomma = -1;
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int zif_akt = -1;
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float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
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if (zahl >= 0) // NaN?
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{
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if (_extendedResolution)
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{
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int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
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int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
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result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
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}
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else
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{
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zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, -1, -1);
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result = std::to_string(zif_akt);
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}
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}
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else
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{
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result = "N";
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if (_extendedResolution && (CNNType != Digital))
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result = "NN";
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}
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for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
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{
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if (GENERAL[_analog]->ROI[i]->result_float >= 0)
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{
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zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, zif_akt);
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result = std::to_string(zif_akt) + result;
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}
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else
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{
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zif_akt = -1;
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result = "N" + result;
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}
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}
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}
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return result;
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}
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int ClassFlowCNNGeneral::ZeigerEvalHybrid(float zahl, float zahl_vorgaenger, int eval_vorgaenger)
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{
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int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
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// int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
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if (zahl_vorgaenger < 0) // keine Vorzahl vorhanden !!! --> Runde die Zahl
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{
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if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
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return (int) round(zahl);
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else
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return (int) trunc(zahl);
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}
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if (zahl_vorgaenger > 9.2) // Ziffernwechsel beginnt
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{
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if (eval_vorgaenger == 0) // Wechsel hat schon stattgefunden
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{
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return (int) round(zahl); // Annahme, dass die neue Zahl schon in der Nähe des Ziels ist
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}
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else
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{
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if (zahl_vorgaenger <= 9.5) // Wechsel startet gerade, aber beginnt erst
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{
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if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
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return (int) round(zahl);
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else
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return (int) trunc(zahl);
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}
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else
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{
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return (int) trunc(zahl); // Wechsel schon weiter fortgeschritten, d.h. über 2 als Nachkomma
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}
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}
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}
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if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
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return (int) round(zahl);
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return (int) trunc(zahl);
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}
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int ClassFlowCNNGeneral::ZeigerEval(float zahl, int ziffer_vorgaenger)
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{
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int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
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int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
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int ergebnis, ergebnis_rating;
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if (ziffer_vorgaenger == -1)
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return ergebnis_vorkomma % 10;
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ergebnis_rating = ergebnis_nachkomma - ziffer_vorgaenger;
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if (ergebnis_nachkomma >= 5)
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ergebnis_rating-=5;
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else
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ergebnis_rating+=5;
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ergebnis = (int) round(zahl);
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if (ergebnis_rating < 0)
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ergebnis-=1;
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if (ergebnis == -1)
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ergebnis+=10;
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ergebnis = ergebnis % 10;
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return ergebnis;
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}
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bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
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{
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std::vector<string> zerlegt;
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aktparamgraph = trim(aktparamgraph);
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if (aktparamgraph.size() == 0)
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if (!this->GetNextParagraph(pfile, aktparamgraph))
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return false;
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if ((toUpper(aktparamgraph) != "[ANALOG]") && (toUpper(aktparamgraph) != ";[ANALOG]")
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&& (toUpper(aktparamgraph) != "[DIGIT]") && (toUpper(aktparamgraph) != ";[DIGIT]")
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&& (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")
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) // Paragraph passt nicht
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return false;
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/*
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if ((aktparamgraph.compare("[Analog]") != 0) && (aktparamgraph.compare(";[Analog]") != 0)
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&& (aktparamgraph.compare("[Digit]") != 0) && (aktparamgraph.compare(";[Digit]"))) // Paragraph passt nicht
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return false;
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*/
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if (aktparamgraph[0] == ';')
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{
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disabled = true;
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while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
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printf("[Analog/Digit] is disabled !!!\n");
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return true;
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}
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while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
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{
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zerlegt = this->ZerlegeZeile(aktparamgraph);
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if ((zerlegt[0] == "LogImageLocation") && (zerlegt.size() > 1))
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{
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this->LogImageLocation = "/sdcard" + zerlegt[1];
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this->isLogImage = true;
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}
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if ((zerlegt[0] == "LogImageSelect") && (zerlegt.size() > 1))
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{
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LogImageSelect = zerlegt[1];
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isLogImageSelect = true;
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}
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if ((toUpper(zerlegt[0]) == "LOGFILERETENTIONINDAYS") && (zerlegt.size() > 1))
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{
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this->logfileRetentionInDays = std::stoi(zerlegt[1]);
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}
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if ((toUpper(zerlegt[0]) == "MODELTYPE") && (zerlegt.size() > 1))
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{
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if (toUpper(zerlegt[1]) == "DIGITHYPRID")
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CNNType = DigitalHyprid;
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}
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if ((zerlegt[0] == "Model") && (zerlegt.size() > 1))
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{
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this->cnnmodelfile = zerlegt[1];
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}
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if ((zerlegt[0] == "ModelInputSize") && (zerlegt.size() > 2))
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{
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this->modelxsize = std::stoi(zerlegt[1]);
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this->modelysize = std::stoi(zerlegt[2]);
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}
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if (zerlegt.size() >= 5)
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{
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general* _analog = GetGENERAL(zerlegt[0], true);
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roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
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neuroi->posx = std::stoi(zerlegt[1]);
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neuroi->posy = std::stoi(zerlegt[2]);
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neuroi->deltax = std::stoi(zerlegt[3]);
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neuroi->deltay = std::stoi(zerlegt[4]);
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neuroi->result_float = -1;
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neuroi->image = NULL;
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neuroi->image_org = NULL;
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}
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if ((toUpper(zerlegt[0]) == "SAVEALLFILES") && (zerlegt.size() > 1))
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{
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if (toUpper(zerlegt[1]) == "TRUE")
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SaveAllFiles = true;
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}
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/*
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if ((toUpper(zerlegt[0]) == "EXTENDEDRESOLUTION") && (zerlegt.size() > 1))
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{
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if (toUpper(zerlegt[1]) == "TRUE")
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extendedResolution = true;
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}
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*/
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}
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for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
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for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
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{
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GENERAL[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, 3);
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GENERAL[_ana]->ROI[i]->image_org = new CImageBasis(GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, 3);
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}
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return true;
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}
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general* ClassFlowCNNGeneral::FindGENERAL(string _name_number)
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{
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for (int i = 0; i < GENERAL.size(); ++i)
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if (GENERAL[i]->name == _name_number)
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return GENERAL[i];
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return NULL;
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}
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general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
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{
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string _analog, _roi;
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int _pospunkt = _name.find_first_of(".");
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if (_pospunkt > -1)
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{
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_analog = _name.substr(0, _pospunkt);
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_roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
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}
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else
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{
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_analog = "default";
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_roi = _name;
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}
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general *_ret = NULL;
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for (int i = 0; i < GENERAL.size(); ++i)
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if (GENERAL[i]->name == _analog)
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_ret = GENERAL[i];
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if (!_create) // nicht gefunden und soll auch nicht erzeugt werden
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return _ret;
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if (_ret == NULL)
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{
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_ret = new general;
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_ret->name = _analog;
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GENERAL.push_back(_ret);
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}
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roi* neuroi = new roi;
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neuroi->name = _roi;
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_ret->ROI.push_back(neuroi);
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printf("GetGENERAL - GENERAL %s - roi %s\n", _analog.c_str(), _roi.c_str());
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return _ret;
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}
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string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
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{
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string result, zw;
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std::vector<HTMLInfo*> htmlinfo;
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result = "<p>Found ROIs: </p> <p><img src=\"" + host + "/img_tmp/alg_roi.jpg\"></p>\n";
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result = result + "Analog Pointers: <p> ";
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htmlinfo = GetHTMLInfo();
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for (int i = 0; i < htmlinfo.size(); ++i)
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{
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std::stringstream stream;
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stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
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zw = stream.str();
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result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
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delete htmlinfo[i];
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}
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htmlinfo.clear();
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return result;
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}
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bool ClassFlowCNNGeneral::doFlow(string time)
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{
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if (disabled)
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return true;
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if (!doAlignAndCut(time)){
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return false;
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};
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if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::doFlow nach Alignment");
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doNeuralNetwork(time);
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RemoveOldLogs();
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return true;
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}
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bool ClassFlowCNNGeneral::doAlignAndCut(string time)
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{
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if (disabled)
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return true;
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CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
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for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
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for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
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{
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printf("General %d - Align&Cut\n", i);
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caic->CutAndSave(GENERAL[_ana]->ROI[i]->posx, GENERAL[_ana]->ROI[i]->posy, GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, GENERAL[_ana]->ROI[i]->image_org);
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if (SaveAllFiles)
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{
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if (GENERAL[_ana]->name == "default")
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GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
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else
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GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
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}
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GENERAL[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, GENERAL[_ana]->ROI[i]->image);
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if (SaveAllFiles)
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{
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if (GENERAL[_ana]->name == "default")
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GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
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else
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GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
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}
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}
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return true;
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}
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void ClassFlowCNNGeneral::DrawROI(CImageBasis *_zw)
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{
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if (CNNType == Analogue)
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{
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int r = 0;
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int g = 255;
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int b = 0;
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for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
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for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
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{
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_zw->drawRect(GENERAL[_ana]->ROI[i]->posx, GENERAL[_ana]->ROI[i]->posy, GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, r, g, b, 1);
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_zw->drawCircle((int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), (int) (GENERAL[_ana]->ROI[i]->deltax/2), r, g, b, 2);
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_zw->drawLine((int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) GENERAL[_ana]->ROI[i]->posy, (int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay), r, g, b, 2);
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_zw->drawLine((int) GENERAL[_ana]->ROI[i]->posx, (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), (int) GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax, (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), r, g, b, 2);
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}
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}
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else
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{
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for (int _dig = 0; _dig < GENERAL.size(); ++_dig)
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for (int i = 0; i < GENERAL[_dig]->ROI.size(); ++i)
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_zw->drawRect(GENERAL[_dig]->ROI[i]->posx, GENERAL[_dig]->ROI[i]->posy, GENERAL[_dig]->ROI[i]->deltax, GENERAL[_dig]->ROI[i]->deltay, 0, 0, (255 - _dig*100), 2);
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}
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}
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bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
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{
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if (disabled)
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return true;
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string logPath = CreateLogFolder(time);
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CTfLiteClass *tflite = new CTfLiteClass;
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string zwcnn = "/sdcard" + cnnmodelfile;
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zwcnn = FormatFileName(zwcnn);
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printf(zwcnn.c_str());printf("\n");
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if (!tflite->LoadModel(zwcnn)) {
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printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
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LogFile.WriteToFile("Cannot load model");
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delete tflite;
|
|
return false;
|
|
}
|
|
tflite->MakeAllocate();
|
|
|
|
if (CNNType == AutoDetect)
|
|
{
|
|
int _anzoutputdimensions = tflite->GetAnzOutPut();
|
|
switch (_anzoutputdimensions)
|
|
{
|
|
case 2:
|
|
CNNType = Analogue;
|
|
printf("TFlite-Type set to Analogue\n");
|
|
break;
|
|
case 11:
|
|
CNNType = Digital;
|
|
printf("TFlite-Type set to Digital\n");
|
|
break;
|
|
case 22:
|
|
CNNType = DigitalHyprid;
|
|
printf("TFlite-Type set to DigitalHyprid\n");
|
|
break;
|
|
default:
|
|
printf("ERROR ERROR ERROR - tflite passt nicht zur Firmware - ERROR ERROR ERROR\n");
|
|
}
|
|
// flowpostprocessing->UpdateNachkommaDecimalShift();
|
|
}
|
|
|
|
for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
|
|
{
|
|
for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
|
|
{
|
|
printf("General %d - TfLite\n", i);
|
|
|
|
switch (CNNType) {
|
|
case Analogue:
|
|
{
|
|
float f1, f2;
|
|
f1 = 0; f2 = 0;
|
|
|
|
tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
|
|
tflite->Invoke();
|
|
if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
|
|
|
|
f1 = tflite->GetOutputValue(0);
|
|
f2 = tflite->GetOutputValue(1);
|
|
float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
|
|
GENERAL[_ana]->ROI[i]->result_float = result * 10;
|
|
printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
|
|
if (isLogImage)
|
|
LogImage(logPath, GENERAL[_ana]->ROI[i]->name, &GENERAL[_ana]->ROI[i]->result_float, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
|
|
} break;
|
|
case Digital:
|
|
{
|
|
GENERAL[_ana]->ROI[i]->result_klasse = 0;
|
|
GENERAL[_ana]->ROI[i]->result_klasse = tflite->GetClassFromImageBasis(GENERAL[_ana]->ROI[i]->image);
|
|
printf("Result General(Digit)%i: %d\n", i, GENERAL[_ana]->ROI[i]->result_klasse);
|
|
|
|
if (isLogImage)
|
|
{
|
|
if (isLogImageSelect)
|
|
{
|
|
if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
|
|
LogImage(logPath, GENERAL[_ana]->ROI[i]->name, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
|
|
}
|
|
else
|
|
{
|
|
LogImage(logPath, GENERAL[_ana]->ROI[i]->name, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
|
|
}
|
|
}
|
|
} break;
|
|
case DigitalHyprid:
|
|
{
|
|
int _num, _nachkomma;
|
|
|
|
tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
|
|
tflite->Invoke();
|
|
if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
|
|
|
|
_num = tflite->GetOutClassification(0, 10);
|
|
_nachkomma = tflite->GetOutClassification(11, 22);
|
|
|
|
|
|
string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
|
|
if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
|
|
|
|
if ((_num == 10) || (_nachkomma == 10)) // NaN detektiert
|
|
GENERAL[_ana]->ROI[i]->result_float = -1;
|
|
else
|
|
GENERAL[_ana]->ROI[i]->result_float = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
|
|
|
|
printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
|
|
_zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result_float);
|
|
if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
|
|
|
|
if (isLogImage)
|
|
LogImage(logPath, GENERAL[_ana]->ROI[i]->name, &GENERAL[_ana]->ROI[i]->result_float, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
|
|
} break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
delete tflite;
|
|
|
|
return true;
|
|
}
|
|
|
|
bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
|
|
{
|
|
// if (extendedResolution && !(CNNType == Digital))
|
|
if (!(CNNType == Digital))
|
|
return true;
|
|
|
|
return false;
|
|
}
|
|
|
|
|
|
|
|
std::vector<HTMLInfo*> ClassFlowCNNGeneral::GetHTMLInfo()
|
|
{
|
|
std::vector<HTMLInfo*> result;
|
|
|
|
for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
|
|
for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
|
|
{
|
|
if (GENERAL[_ana]->name == "default")
|
|
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
|
|
else
|
|
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
|
|
|
|
|
|
HTMLInfo *zw = new HTMLInfo;
|
|
if (GENERAL[_ana]->name == "default")
|
|
{
|
|
zw->filename = GENERAL[_ana]->ROI[i]->name + ".bmp";
|
|
zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
|
|
}
|
|
else
|
|
{
|
|
zw->filename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp";
|
|
zw->filename_org = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
|
|
}
|
|
|
|
if (CNNType == Digital)
|
|
zw->val = GENERAL[_ana]->ROI[i]->result_klasse;
|
|
else
|
|
zw->val = GENERAL[_ana]->ROI[i]->result_float;
|
|
zw->image = GENERAL[_ana]->ROI[i]->image;
|
|
zw->image_org = GENERAL[_ana]->ROI[i]->image_org;
|
|
|
|
printf("Push %s\n", zw->filename.c_str());
|
|
|
|
result.push_back(zw);
|
|
}
|
|
|
|
printf("größe: %d\n", result.size());
|
|
|
|
return result;
|
|
}
|
|
|
|
int ClassFlowCNNGeneral::getAnzahlGENERAL()
|
|
{
|
|
return GENERAL.size();
|
|
}
|
|
|
|
string ClassFlowCNNGeneral::getNameGENERAL(int _analog)
|
|
{
|
|
if (_analog < GENERAL.size())
|
|
return GENERAL[_analog]->name;
|
|
|
|
return "GENERAL DOES NOT EXIST";
|
|
}
|
|
|
|
general* ClassFlowCNNGeneral::GetGENERAL(int _analog)
|
|
{
|
|
if (_analog < GENERAL.size())
|
|
return GENERAL[_analog];
|
|
|
|
return NULL;
|
|
}
|
|
|
|
|
|
|
|
void ClassFlowCNNGeneral::UpdateNameNumbers(std::vector<std::string> *_name_numbers)
|
|
{
|
|
for (int _dig = 0; _dig < GENERAL.size(); _dig++)
|
|
{
|
|
std::string _name = GENERAL[_dig]->name;
|
|
bool found = false;
|
|
for (int i = 0; i < (*_name_numbers).size(); ++i)
|
|
{
|
|
if ((*_name_numbers)[i] == _name)
|
|
found = true;
|
|
}
|
|
if (!found)
|
|
(*_name_numbers).push_back(_name);
|
|
}
|
|
}
|