Files
AI-on-the-edge-device/code/components/jomjol_flowcontroll/ClassFlowAnalog.cpp
2021-07-14 20:00:06 +02:00

488 lines
14 KiB
C++

#include "ClassFlowAnalog.h"
#include <math.h>
#include <iomanip>
#include <sys/types.h>
#include <sstream> // std::stringstream
// #define OHNETFLITE
#ifndef OHNETFLITE
#include "CTfLiteClass.h"
#endif
#include "ClassLogFile.h"
static const char* TAG = "flow_analog";
bool debugdetailanalog = false;
void ClassFlowAnalog::SetInitialParameter(void)
{
string cnnmodelfile = "";
modelxsize = 1;
modelysize = 1;
ListFlowControll = NULL;
previousElement = NULL;
SaveAllFiles = false;
disabled = false;
extendedResolution = false;
}
ClassFlowAnalog::ClassFlowAnalog(std::vector<ClassFlow*>* lfc) : ClassFlowImage(lfc, TAG)
{
SetInitialParameter();
ListFlowControll = lfc;
for (int i = 0; i < ListFlowControll->size(); ++i)
{
if (((*ListFlowControll)[i])->name().compare("ClassFlowAlignment") == 0)
{
flowpostalignment = (ClassFlowAlignment*) (*ListFlowControll)[i];
}
}
}
int ClassFlowAnalog::AnzahlROIs(int _analog = 0)
{
int zw = ANALOG[_analog]->ROI.size();
if (extendedResolution)
zw++;
return zw;
}
string ClassFlowAnalog::getReadout(int _analog = 0)
{
string result = "";
if (ANALOG[_analog]->ROI.size() == 0)
return result;
float zahl = ANALOG[_analog]->ROI[ANALOG[_analog]->ROI.size() - 1]->result;
int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
int prev = -1;
prev = ZeigerEval(ANALOG[_analog]->ROI[ANALOG[_analog]->ROI.size() - 1]->result, prev);
result = std::to_string(prev);
if (extendedResolution)
result = result + std::to_string(ergebnis_nachkomma);
for (int i = ANALOG[_analog]->ROI.size() - 2; i >= 0; --i)
{
prev = ZeigerEval(ANALOG[_analog]->ROI[i]->result, prev);
result = std::to_string(prev) + result;
}
return result;
}
int ClassFlowAnalog::ZeigerEval(float zahl, int ziffer_vorgaenger)
{
int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
int ergebnis, ergebnis_rating;
if (ziffer_vorgaenger == -1)
return ergebnis_vorkomma % 10;
ergebnis_rating = ergebnis_nachkomma - ziffer_vorgaenger;
if (ergebnis_nachkomma >= 5)
ergebnis_rating-=5;
else
ergebnis_rating+=5;
ergebnis = (int) round(zahl);
if (ergebnis_rating < 0)
ergebnis-=1;
if (ergebnis == -1)
ergebnis+=10;
ergebnis = ergebnis % 10;
return ergebnis;
}
bool ClassFlowAnalog::ReadParameter(FILE* pfile, string& aktparamgraph)
{
std::vector<string> zerlegt;
aktparamgraph = trim(aktparamgraph);
if (aktparamgraph.size() == 0)
if (!this->GetNextParagraph(pfile, aktparamgraph))
return false;
if ((aktparamgraph.compare("[Analog]") != 0) && (aktparamgraph.compare(";[Analog]") != 0)) // Paragraph passt nich zu MakeImage
return false;
if (aktparamgraph[0] == ';')
{
disabled = true;
while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
printf("[Analog] is disabled !!!\n");
return true;
}
while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
{
zerlegt = this->ZerlegeZeile(aktparamgraph);
if ((zerlegt[0] == "LogImageLocation") && (zerlegt.size() > 1))
{
this->LogImageLocation = "/sdcard" + zerlegt[1];
this->isLogImage = true;
}
if ((toUpper(zerlegt[0]) == "LOGFILERETENTIONINDAYS") && (zerlegt.size() > 1))
{
this->logfileRetentionInDays = std::stoi(zerlegt[1]);
}
if ((zerlegt[0] == "Model") && (zerlegt.size() > 1))
{
this->cnnmodelfile = zerlegt[1];
}
if ((zerlegt[0] == "ModelInputSize") && (zerlegt.size() > 2))
{
this->modelxsize = std::stoi(zerlegt[1]);
this->modelysize = std::stoi(zerlegt[2]);
}
if (zerlegt.size() >= 5)
{
analog* _analog = GetANALOG(zerlegt[0], true);
roianalog* neuroi = _analog->ROI[_analog->ROI.size()-1];
neuroi->posx = std::stoi(zerlegt[1]);
neuroi->posy = std::stoi(zerlegt[2]);
neuroi->deltax = std::stoi(zerlegt[3]);
neuroi->deltay = std::stoi(zerlegt[4]);
neuroi->result = -1;
neuroi->image = NULL;
neuroi->image_org = NULL;
// ROI.push_back(neuroi);
}
if ((toUpper(zerlegt[0]) == "SAVEALLFILES") && (zerlegt.size() > 1))
{
if (toUpper(zerlegt[1]) == "TRUE")
SaveAllFiles = true;
}
if ((toUpper(zerlegt[0]) == "EXTENDEDRESOLUTION") && (zerlegt.size() > 1))
{
if (toUpper(zerlegt[1]) == "TRUE")
extendedResolution = true;
}
}
for (int _ana = 0; _ana < ANALOG.size(); ++_ana)
for (int i = 0; i < ANALOG[_ana]->ROI.size(); ++i)
{
ANALOG[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, 3);
ANALOG[_ana]->ROI[i]->image_org = new CImageBasis(ANALOG[_ana]->ROI[i]->deltax, ANALOG[_ana]->ROI[i]->deltay, 3);
}
return true;
}
analog* ClassFlowAnalog::FindANALOG(string _name_number)
{
for (int i = 0; i < ANALOG.size(); ++i)
{
if (ANALOG[i]->name == _name_number)
return ANALOG[i];
}
return NULL;
}
analog* ClassFlowAnalog::GetANALOG(string _name, bool _create = true)
{
string _analog, _roi;
int _pospunkt = _name.find_first_of(".");
// printf("Name: %s, Pospunkt: %d\n", _name.c_str(), _pospunkt);
if (_pospunkt > -1)
{
_analog = _name.substr(0, _pospunkt);
_roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
}
else
{
_analog = "default";
_roi = _name;
}
analog *_ret = NULL;
for (int i = 0; i < ANALOG.size(); ++i)
{
if (ANALOG[i]->name == _analog)
_ret = ANALOG[i];
}
if (!_create) // nicht gefunden und soll auch nicht erzeugt werden
return _ret;
if (_ret == NULL)
{
_ret = new analog;
_ret->name = _analog;
ANALOG.push_back(_ret);
}
roianalog* neuroi = new roianalog;
neuroi->name = _roi;
_ret->ROI.push_back(neuroi);
printf("GetANALOG - ANALOG %s - roi %s\n", _analog.c_str(), _roi.c_str());
return _ret;
}
string ClassFlowAnalog::getHTMLSingleStep(string host)
{
string result, zw;
std::vector<HTMLInfo*> htmlinfo;
result = "<p>Found ROIs: </p> <p><img src=\"" + host + "/img_tmp/alg_roi.jpg\"></p>\n";
result = result + "Analog Pointers: <p> ";
htmlinfo = GetHTMLInfo();
for (int i = 0; i < htmlinfo.size(); ++i)
{
std::stringstream stream;
stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
zw = stream.str();
result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
delete htmlinfo[i];
}
htmlinfo.clear();
return result;
}
bool ClassFlowAnalog::doFlow(string time)
{
if (disabled)
return true;
if (!doAlignAndCut(time)){
return false;
};
if (debugdetailanalog) LogFile.WriteToFile("ClassFlowAnalog::doFlow nach Alignment");
doNeuralNetwork(time);
RemoveOldLogs();
return true;
}
bool ClassFlowAnalog::doAlignAndCut(string time)
{
if (disabled)
return true;
CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
for (int _ana = 0; _ana < ANALOG.size(); ++_ana)
for (int i = 0; i < ANALOG[_ana]->ROI.size(); ++i)
{
printf("Analog %d - Align&Cut\n", i);
caic->CutAndSave(ANALOG[_ana]->ROI[i]->posx, ANALOG[_ana]->ROI[i]->posy, ANALOG[_ana]->ROI[i]->deltax, ANALOG[_ana]->ROI[i]->deltay, ANALOG[_ana]->ROI[i]->image_org);
if (SaveAllFiles)
{
if (ANALOG[_ana]->name == "default")
ANALOG[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->ROI[i]->name + ".jpg"));
else
ANALOG[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->name + "_" + ANALOG[_ana]->ROI[i]->name + ".jpg"));
}
ANALOG[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, ANALOG[_ana]->ROI[i]->image);
if (SaveAllFiles)
{
if (ANALOG[_ana]->name == "default")
ANALOG[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->ROI[i]->name + ".bmp"));
else
ANALOG[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->name + "_" + ANALOG[_ana]->ROI[i]->name + ".bmp"));
}
}
return true;
}
void ClassFlowAnalog::DrawROI(CImageBasis *_zw)
{
int r = 0;
int g = 255;
int b = 0;
for (int _ana = 0; _ana < ANALOG.size(); ++_ana)
for (int i = 0; i < ANALOG[_ana]->ROI.size(); ++i)
{
_zw->drawRect(ANALOG[_ana]->ROI[i]->posx, ANALOG[_ana]->ROI[i]->posy, ANALOG[_ana]->ROI[i]->deltax, ANALOG[_ana]->ROI[i]->deltay, r, g, b, 1);
_zw->drawCircle((int) (ANALOG[_ana]->ROI[i]->posx + ANALOG[_ana]->ROI[i]->deltax/2), (int) (ANALOG[_ana]->ROI[i]->posy + ANALOG[_ana]->ROI[i]->deltay/2), (int) (ANALOG[_ana]->ROI[i]->deltax/2), r, g, b, 2);
_zw->drawLine((int) (ANALOG[_ana]->ROI[i]->posx + ANALOG[_ana]->ROI[i]->deltax/2), (int) ANALOG[_ana]->ROI[i]->posy, (int) (ANALOG[_ana]->ROI[i]->posx + ANALOG[_ana]->ROI[i]->deltax/2), (int) (ANALOG[_ana]->ROI[i]->posy + ANALOG[_ana]->ROI[i]->deltay), r, g, b, 2);
_zw->drawLine((int) ANALOG[_ana]->ROI[i]->posx, (int) (ANALOG[_ana]->ROI[i]->posy + ANALOG[_ana]->ROI[i]->deltay/2), (int) ANALOG[_ana]->ROI[i]->posx + ANALOG[_ana]->ROI[i]->deltax, (int) (ANALOG[_ana]->ROI[i]->posy + ANALOG[_ana]->ROI[i]->deltay/2), r, g, b, 2);
}
}
bool ClassFlowAnalog::doNeuralNetwork(string time)
{
if (disabled)
return true;
string logPath = CreateLogFolder(time);
string input = "/sdcard/img_tmp/alg.jpg";
string ioresize = "/sdcard/img_tmp/resize.bmp";
string output;
input = FormatFileName(input);
#ifndef OHNETFLITE
CTfLiteClass *tflite = new CTfLiteClass;
string zwcnn = "/sdcard" + cnnmodelfile;
zwcnn = FormatFileName(zwcnn);
printf(zwcnn.c_str());printf("\n");
if (!tflite->LoadModel(zwcnn)) {
printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
delete tflite;
return false;
}
tflite->MakeAllocate();
#endif
for (int _ana = 0; _ana < ANALOG.size(); ++_ana)
{
for (int i = 0; i < ANALOG[_ana]->ROI.size(); ++i)
{
printf("Analog %d - TfLite\n", i);
float f1, f2;
f1 = 0; f2 = 0;
#ifndef OHNETFLITE
tflite->LoadInputImageBasis(ANALOG[_ana]->ROI[i]->image);
tflite->Invoke();
if (debugdetailanalog) LogFile.WriteToFile("Nach Invoke");
f1 = tflite->GetOutputValue(0);
f2 = tflite->GetOutputValue(1);
#endif
float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
// printf("Result sin, cos, ziffer: %f, %f, %f\n", f1, f2, result);
ANALOG[_ana]->ROI[i]->result = result * 10;
printf("Result Analog%i: %f\n", i, ANALOG[_ana]->ROI[i]->result);
if (isLogImage)
{
LogImage(logPath, ANALOG[_ana]->ROI[i]->name, &ANALOG[_ana]->ROI[i]->result, NULL, time, ANALOG[_ana]->ROI[i]->image_org);
}
}
}
#ifndef OHNETFLITE
delete tflite;
#endif
return true;
}
std::vector<HTMLInfo*> ClassFlowAnalog::GetHTMLInfo()
{
std::vector<HTMLInfo*> result;
for (int _ana = 0; _ana < ANALOG.size(); ++_ana)
for (int i = 0; i < ANALOG[_ana]->ROI.size(); ++i)
{
if (ANALOG[_ana]->name == "default")
ANALOG[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->ROI[i]->name + ".bmp"));
else
ANALOG[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ANALOG[_ana]->name + "_" + ANALOG[_ana]->ROI[i]->name + ".bmp"));
HTMLInfo *zw = new HTMLInfo;
if (ANALOG[_ana]->name == "default")
{
zw->filename = ANALOG[_ana]->ROI[i]->name + ".bmp";
zw->filename_org = ANALOG[_ana]->ROI[i]->name + ".jpg";
}
else
{
zw->filename = ANALOG[_ana]->name + "_" + ANALOG[_ana]->ROI[i]->name + ".bmp";
zw->filename_org = ANALOG[_ana]->name + "_" + ANALOG[_ana]->ROI[i]->name + ".jpg";
}
zw->val = ANALOG[_ana]->ROI[i]->result;
zw->image = ANALOG[_ana]->ROI[i]->image;
zw->image_org = ANALOG[_ana]->ROI[i]->image_org;
result.push_back(zw);
}
return result;
}
int ClassFlowAnalog::getAnzahlANALOG()
{
return ANALOG.size();
}
string ClassFlowAnalog::getNameANALOG(int _analog)
{
if (_analog < ANALOG.size())
return ANALOG[_analog]->name;
return "ANALOG DOES NOT EXIST";
}
analog* ClassFlowAnalog::GetANALOG(int _analog)
{
if (_analog < ANALOG.size())
return ANALOG[_analog];
return NULL;
}
void ClassFlowAnalog::UpdateNameNumbers(std::vector<std::string> *_name_numbers)
{
for (int _dig = 0; _dig < ANALOG.size(); _dig++)
{
std::string _name = ANALOG[_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);
}
}