mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2025-12-08 20:46:52 +03:00
Inital
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@@ -1,5 +1,6 @@
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#include "ClassFlowDigit.h"
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//#include "CFindTemplate.h"
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//#include "CTfLiteClass.h"
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@@ -15,19 +16,49 @@
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static const char* TAG = "flow_digital";
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ClassFlowDigit::ClassFlowDigit() : ClassFlowImage(TAG)
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void ClassFlowDigit::SetInitialParameter(void)
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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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}
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ClassFlowDigit::ClassFlowDigit() : ClassFlowImage(TAG)
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{
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SetInitialParameter();
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}
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ClassFlowDigit::ClassFlowDigit(std::vector<ClassFlow*>* lfc) : ClassFlowImage(lfc, 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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SetInitialParameter();
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ListFlowControll = lfc;
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for (int i = 0; i < ListFlowControll->size(); ++i)
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{
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if (((*ListFlowControll)[i])->name().compare("ClassFlowAlignment") == 0)
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{
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flowpostalignment = (ClassFlowAlignment*) (*ListFlowControll)[i];
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}
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}
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}
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ClassFlowDigit::ClassFlowDigit(std::vector<ClassFlow*>* lfc, ClassFlow *_prev) : ClassFlowImage(lfc, _prev, TAG)
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{
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SetInitialParameter();
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ListFlowControll = lfc;
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previousElement = _prev;
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for (int i = 0; i < ListFlowControll->size(); ++i)
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{
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if (((*ListFlowControll)[i])->name().compare("ClassFlowAlignment") == 0)
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{
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flowpostalignment = (ClassFlowAlignment*) (*ListFlowControll)[i];
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}
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}
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}
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string ClassFlowDigit::getReadout()
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@@ -85,8 +116,17 @@ bool ClassFlowDigit::ReadParameter(FILE* pfile, string& aktparamgraph)
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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->resultklasse = -1;
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neuroi->image = NULL;
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neuroi->image_org = NULL;
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ROI.push_back(neuroi);
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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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return true;
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}
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@@ -133,60 +173,24 @@ bool ClassFlowDigit::doFlow(string time)
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bool ClassFlowDigit::doAlignAndCut(string time)
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{
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string input = "/sdcard/img_tmp/alg.jpg";
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string input_roi = "/sdcard/img_tmp/alg_roi.jpg";
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string ioresize = "/sdcard/img_tmp/resize.bmp";
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string output;
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string nm;
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input = FormatFileName(input);
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input_roi = FormatFileName(input_roi);
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CResizeImage *rs;
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CImageBasis *img_roi = NULL;
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CAlignAndCutImage *caic = new CAlignAndCutImage(input);
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if (!caic->ImageOkay()){
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LogFile.WriteToFile("ClassFlowDigit::doAlignAndCut not okay!");
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delete caic;
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return false;
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}
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if (input_roi.length() > 0){
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img_roi = new CImageBasis(input_roi);
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if (!img_roi->ImageOkay()){
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LogFile.WriteToFile("ClassFlowDigit::doAlignAndCut ImageRoi not okay!");
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delete caic;
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delete img_roi;
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return false;
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}
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}
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CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
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for (int i = 0; i < ROI.size(); ++i)
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{
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printf("DigitalDigit %d - Align&Cut\n", i);
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output = "/sdcard/img_tmp/" + ROI[i]->name + ".jpg";
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output = FormatFileName(output);
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caic->CutAndSave(output, ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay);
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CResizeImage *rs = caic->CutAndSave(ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay);
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if (ROI[i]->image_org)
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free(ROI[i]->image_org);
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ROI[i]->image_org = new CImageBasis((CImageBasis*) rs);
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if (SaveAllFiles) rs->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ROI[i]->name + ".jpg"));
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rs = new CResizeImage(output);
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rs->Resize(modelxsize, modelysize);
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ioresize = "/sdcard/img_tmp/rd" + std::to_string(i) + ".bmp";
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ioresize = FormatFileName(ioresize);
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rs->SaveToFile(ioresize);
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delete rs;
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if (SaveAllFiles) rs->SaveToFile(FormatFileName("/sdcard/img_tmp/" + ROI[i]->name + ".bmp"));
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if (img_roi)
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{
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img_roi->drawRect(ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay, 0, 0, 255, 2);
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}
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}
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delete caic;
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if (img_roi)
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{
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img_roi->SaveToFile(input_roi);
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delete img_roi;
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if (ROI[i]->image)
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free(ROI[i]->image);
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ROI[i]->image = rs;
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}
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return true;
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@@ -196,17 +200,9 @@ bool ClassFlowDigit::doNeuralNetwork(string time)
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{
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string logPath = CreateLogFolder(time);
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string input = "/sdcard/img_tmp/alg.jpg";
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string ioresize = "/sdcard/img_tmp/resize.bmp";
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string output;
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string nm;
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input = FormatFileName(input);
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#ifndef OHNETFLITE
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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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string zwcnn = FormatFileName("/sdcard" + cnnmodelfile);
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printf(zwcnn.c_str());printf("\n");
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tflite->LoadModel(zwcnn);
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tflite->MakeAllocate();
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@@ -215,17 +211,18 @@ bool ClassFlowDigit::doNeuralNetwork(string time)
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for (int i = 0; i < ROI.size(); ++i)
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{
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printf("DigitalDigit %d - TfLite\n", i);
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ioresize = "/sdcard/img_tmp/rd" + std::to_string(i) + ".bmp";
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ioresize = FormatFileName(ioresize);
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// printf("output: %s, ioresize: %s\n", output.c_str(), ioresize.c_str());
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ROI[i]->resultklasse = 0;
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#ifndef OHNETFLITE
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ROI[i]->resultklasse = tflite->GetClassFromImage(ioresize);
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ROI[i]->resultklasse = tflite->GetClassFromImageBasis(ROI[i]->image);
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#endif
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printf("Result Digit%i: %d\n", i, ROI[i]->resultklasse);
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LogImage(logPath, ROI[i]->name, NULL, &ROI[i]->resultklasse, time);
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if (isLogImage)
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{
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LogImage(logPath, ROI[i]->name, NULL, &ROI[i]->resultklasse, time, ROI[i]->image_org);
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}
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}
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#ifndef OHNETFLITE
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delete tflite;
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@@ -233,6 +230,11 @@ bool ClassFlowDigit::doNeuralNetwork(string time)
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return true;
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}
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void ClassFlowDigit::DrawROI(CImageBasis *_zw)
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{
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for (int i = 0; i < ROI.size(); ++i)
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_zw->drawRect(ROI[i]->posx, ROI[i]->posy, ROI[i]->deltax, ROI[i]->deltay, 0, 0, 255, 2);
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}
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std::vector<HTMLInfo*> ClassFlowDigit::GetHTMLInfo()
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{
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@@ -241,10 +243,14 @@ std::vector<HTMLInfo*> ClassFlowDigit::GetHTMLInfo()
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for (int i = 0; i < ROI.size(); ++i)
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{
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HTMLInfo *zw = new HTMLInfo;
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zw->filename = ROI[i]->name + ".jpg";
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zw->filename = ROI[i]->name + ".bmp";
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zw->filename_org = ROI[i]->name + ".jpg";
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zw->val = ROI[i]->resultklasse;
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zw->image = ROI[i]->image;
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zw->image_org = ROI[i]->image_org;
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result.push_back(zw);
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}
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return result;
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}
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}
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