Files
AI-on-the-edge-device/code/components/jomjol_flowcontroll/ClassFlowDigit.cpp
2021-05-01 08:15:11 +02:00

276 lines
6.9 KiB
C++

#include "ClassFlowDigit.h"
//#include "CFindTemplate.h"
//#include "CTfLiteClass.h"
// #define OHNETFLITE
#ifndef OHNETFLITE
#include "CTfLiteClass.h"
#endif
// #include "bitmap_image.hpp"
#include "ClassLogFile.h"
static const char* TAG = "flow_digital";
void ClassFlowDigit::SetInitialParameter(void)
{
string cnnmodelfile = "";
modelxsize = 1;
modelysize = 1;
ListFlowControll = NULL;
previousElement = NULL;
SaveAllFiles = false;
disabled = false;
}
ClassFlowDigit::ClassFlowDigit() : ClassFlowImage(TAG)
{
SetInitialParameter();
}
ClassFlowDigit::ClassFlowDigit(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];
}
}
}
ClassFlowDigit::ClassFlowDigit(std::vector<ClassFlow*>* lfc, ClassFlow *_prev) : ClassFlowImage(lfc, _prev, TAG)
{
SetInitialParameter();
ListFlowControll = lfc;
previousElement = _prev;
for (int i = 0; i < ListFlowControll->size(); ++i)
{
if (((*ListFlowControll)[i])->name().compare("ClassFlowAlignment") == 0)
{
flowpostalignment = (ClassFlowAlignment*) (*ListFlowControll)[i];
}
}
}
string ClassFlowDigit::getReadout()
{
string rst = "";
for (int i = 0; i < ROI.size(); ++i)
{
if (ROI[i]->resultklasse == 10)
rst = rst + "N";
else
rst = rst + std::to_string(ROI[i]->resultklasse);
}
return rst;
}
bool ClassFlowDigit::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("[Digits]") != 0) && (aktparamgraph.compare(";[Digits]") != 0)) // Paragraph passt nich zu MakeImage
return false;
if (aktparamgraph[0] == ';')
{
disabled = true;
while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
printf("[Digits] is disabled !!!\n");
return true;
}
while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph))
{
zerlegt = this->ZerlegeZeile(aktparamgraph);
if ((zerlegt[0] == "LogImageLocation") && (zerlegt.size() > 1))
{
LogImageLocation = "/sdcard" + zerlegt[1];
isLogImage = true;
}
if ((zerlegt[0] == "Model") && (zerlegt.size() > 1))
{
cnnmodelfile = zerlegt[1];
}
if ((zerlegt[0] == "ModelInputSize") && (zerlegt.size() > 2))
{
modelxsize = std::stoi(zerlegt[1]);
modelysize = std::stoi(zerlegt[2]);
}
if (zerlegt.size() >= 5)
{
roi* neuroi = new roi;
neuroi->name = zerlegt[0];
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->resultklasse = -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;
}
}
for (int i = 0; i < ROI.size(); ++i)
{
ROI[i]->image = new CImageBasis(modelxsize, modelysize, 3);
ROI[i]->image_org = new CImageBasis(ROI[i]->deltax, ROI[i]->deltay, 3);
}
return true;
}
string ClassFlowDigit::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 + "Digital Counter: <p> ";
htmlinfo = GetHTMLInfo();
for (int i = 0; i < htmlinfo.size(); ++i)
{
if (htmlinfo[i]->val == 10)
zw = "NaN";
else
{
zw = to_string((int) htmlinfo[i]->val);
}
result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
delete htmlinfo[i];
}
htmlinfo.clear();
return result;
}
bool ClassFlowDigit::doFlow(string time)
{
if (disabled)
return true;
if (!doAlignAndCut(time)){
return false;
};
doNeuralNetwork(time);
RemoveOldLogs();
return true;
}
bool ClassFlowDigit::doAlignAndCut(string time)
{
if (disabled)
return true;
CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
for (int i = 0; i < ROI.size(); ++i)
{
printf("DigitalDigit %d - Align&Cut\n", i);
caic->CutAndSave(ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay, ROI[i]->image_org);
if (SaveAllFiles) ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ROI[i]->name + ".jpg"));
ROI[i]->image_org->Resize(modelxsize, modelysize, ROI[i]->image);
if (SaveAllFiles) ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ROI[i]->name + ".bmp"));
}
return true;
}
bool ClassFlowDigit::doNeuralNetwork(string time)
{
if (disabled)
return true;
string logPath = CreateLogFolder(time);
#ifndef OHNETFLITE
CTfLiteClass *tflite = new CTfLiteClass;
string zwcnn = FormatFileName("/sdcard" + cnnmodelfile);
printf(zwcnn.c_str());printf("\n");
tflite->LoadModel(zwcnn);
tflite->MakeAllocate();
#endif
for (int i = 0; i < ROI.size(); ++i)
{
printf("DigitalDigit %d - TfLite\n", i);
ROI[i]->resultklasse = 0;
#ifndef OHNETFLITE
ROI[i]->resultklasse = tflite->GetClassFromImageBasis(ROI[i]->image);
#endif
printf("Result Digit%i: %d\n", i, ROI[i]->resultklasse);
if (isLogImage)
{
LogImage(logPath, ROI[i]->name, NULL, &ROI[i]->resultklasse, time, ROI[i]->image_org);
}
}
#ifndef OHNETFLITE
delete tflite;
#endif
return true;
}
void ClassFlowDigit::DrawROI(CImageBasis *_zw)
{
for (int i = 0; i < ROI.size(); ++i)
_zw->drawRect(ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay, 0, 0, 255, 2);
}
std::vector<HTMLInfo*> ClassFlowDigit::GetHTMLInfo()
{
std::vector<HTMLInfo*> result;
for (int i = 0; i < ROI.size(); ++i)
{
HTMLInfo *zw = new HTMLInfo;
zw->filename = ROI[i]->name + ".bmp";
zw->filename_org = ROI[i]->name + ".jpg";
zw->val = ROI[i]->resultklasse;
zw->image = ROI[i]->image;
zw->image_org = ROI[i]->image_org;
result.push_back(zw);
}
return result;
}