Files
AI-on-the-edge-device/code/components/jomjol_flowcontroll/ClassFlowCNNGeneral.cpp
CaCO3 025f4af9f2 V14.1 backport to rolling (#2058)
* Migrate parameters to v14.1 branch (#2023)

* Migrated parameters

* -

* .

* .

* .

* .

* .

* Remove unneeded checkboxes for true/false

* Remove ";"

* Correct MaintTopic

* Added missing parameters to UI: FlipImageSize, InitialMirror
Removed checkbox in UI for ErrorMessage
Added migration of pboolean parameters: enable them if they where disabled, set them to their default value, then enable them
Switch SetRetainFlag internally to a boolean

* .

* CamImages -> RawImages

* CamImages -> RawImages

* catch error on unknown parameter

* fix missing case insensitivity

* fix typo

* fixmissing rename

* fix migration of ExtendedResolution

* Delete ClassFlowMakeImage.cpp

* Delete ClassFlowMakeImage.h

---------

Co-authored-by: CaCO3 <caco@ruinelli.ch>
Co-authored-by: jomjol <30766535+jomjol@users.noreply.github.com>

* Update Changelog.md

---------

Co-authored-by: CaCO3 <caco@ruinelli.ch>
Co-authored-by: jomjol <30766535+jomjol@users.noreply.github.com>
2023-02-21 23:18:24 +01:00

971 lines
40 KiB
C++

#include "ClassFlowCNNGeneral.h"
#include <math.h>
#include <iomanip>
#include <sys/types.h>
#include <sstream> // std::stringstream
#include "CTfLiteClass.h"
#include "ClassLogFile.h"
#include "esp_log.h"
#include "../../include/defines.h"
static const char* TAG = "CNN";
//#ifdef CONFIG_HEAP_TRACING_STANDALONE
#ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
#include <esp_heap_trace.h>
#define NUM_RECORDS 300
static heap_trace_record_t trace_record[NUM_RECORDS]; // This buffer must be in internal RAM
#endif
ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG)
{
string cnnmodelfile = "";
modelxsize = 1;
modelysize = 1;
CNNGoodThreshold = 0.0;
ListFlowControll = NULL;
previousElement = NULL;
SaveAllFiles = false;
disabled = false;
isLogImageSelect = false;
CNNType = AutoDetect;
CNNType = _cnntype;
flowpostalignment = _flowalign;
imagesRetention = 5;
}
string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution, int prev, float _before_narrow_Analog, float analogDigitalTransitionStart)
{
string result = "";
if (GENERAL[_analog]->ROI.size() == 0)
return result;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout _analog=" + std::to_string(_analog) + ", _extendedResolution=" + std::to_string(_extendedResolution) + ", prev=" + std::to_string(prev));
if (CNNType == Analogue || CNNType == Analogue100)
{
float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
int result_after_decimal_point = ((int) floor(number * 10) + 10) % 10;
prev = PointerEvalAnalogNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
// LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(analog) number=" + std::to_string(number) + ", result_after_decimal_point=" + std::to_string(result_after_decimal_point) + ", prev=" + std::to_string(prev));
result = std::to_string(prev);
if (_extendedResolution && (CNNType != Digital))
result = result + std::to_string(result_after_decimal_point);
for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
{
prev = PointerEvalAnalogNew(GENERAL[_analog]->ROI[i]->result_float, prev);
result = std::to_string(prev) + result;
}
return result;
}
if (CNNType == Digital)
{
for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
{
if (GENERAL[_analog]->ROI[i]->result_klasse >= 10)
result = result + "N";
else
result = result + std::to_string(GENERAL[_analog]->ROI[i]->result_klasse);
}
return result;
}
if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
{
float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
if (number >= 0) // NaN?
{
if (_extendedResolution) // is only set if it is the first digit (no analogue before!)
{
int result_after_decimal_point = ((int) floor(number * 10)) % 10;
int result_before_decimal_point = ((int) floor(number)) % 10;
result = std::to_string(result_before_decimal_point) + std::to_string(result_after_decimal_point);
prev = result_before_decimal_point;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(dig100-ext) result_before_decimal_point=" + std::to_string(result_before_decimal_point) + ", result_after_decimal_point=" + std::to_string(result_after_decimal_point) + ", prev=" + std::to_string(prev));
}
else
{
if (_before_narrow_Analog >= 0)
prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, _before_narrow_Analog, prev, true, analogDigitalTransitionStart);
else
prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev, prev);
result = std::to_string(prev);
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(dig100) prev=" + std::to_string(prev));
}
}
else
{
result = "N";
if (_extendedResolution && (CNNType != Digital))
result = "NN";
}
for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
{
if (GENERAL[_analog]->ROI[i]->result_float >= 0)
{
prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, prev);
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#PointerEvalHybridNew()= " + std::to_string(prev));
result = std::to_string(prev) + result;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#result= " + result);
}
else
{
prev = -1;
result = "N" + result;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(result_float<0 /'N') result_float=" + std::to_string(GENERAL[_analog]->ROI[i]->result_float));
}
}
return result;
}
return result;
}
int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_predecessors, int eval_predecessors, bool Analog_Predecessors, float digitalAnalogTransitionStart)
{
int result;
int result_after_decimal_point = ((int) floor(number * 10)) % 10;
int result_before_decimal_point = ((int) floor(number) + 10) % 10;
if (eval_predecessors < 0)
{
if ((result_after_decimal_point <= Digital_Uncertainty * 10) || (result_after_decimal_point >= Digital_Uncertainty * 10)) // Band around the digit --> Rounding, as digit reaches inaccuracy in the frame
result = (int) (round(number) + 10) % 10;
else
result = (int) ((int) trunc(number) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - No predecessor - Result = " + std::to_string(result) +
" number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
return result;
}
if (Analog_Predecessors)
{
result = PointerEvalAnalogToDigitNew(number, number_of_predecessors, eval_predecessors, digitalAnalogTransitionStart);
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - Analog predecessor, evaluation over PointerEvalAnalogNew = " + std::to_string(result) +
" number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
return result;
}
if ((number_of_predecessors >= Digital_Transition_Area_Predecessor ) && (number_of_predecessors <= (10.0 - Digital_Transition_Area_Predecessor)))
{
// no digit change, because predecessor is far enough away (0+/-DigitalTransitionRangePredecessor) --> number is rounded
if ((result_after_decimal_point <= DigitalBand) || (result_after_decimal_point >= (10-DigitalBand))) // Band around the digit --> Round off, as digit reaches inaccuracy in the frame
result = ((int) round(number) + 10) % 10;
else
result = ((int) trunc(number) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - NO analogue predecessor, no change of digits, as pre-decimal point far enough away = " + std::to_string(result) +
" number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
return result;
}
if (eval_predecessors <= 1) // Zero crossing at the predecessor has taken place (! evaluation via Prev_value and not number!) --> round up here (2.8 --> 3, but also 3.1 --> 3)
{
// We simply assume that the current digit after the zero crossing of the predecessor
// has passed through at least half (x.5)
if (result_after_decimal_point > 5)
// The current digit does not yet have a zero crossing, but the predecessor does..
result = (result_before_decimal_point + 1) % 10;
else
// Act. digit and predecessor have zero crossing
result = result_before_decimal_point % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - NO analogue predecessor, zero crossing has taken placen = " + std::to_string(result) +
" number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
return result;
}
// remains only >= 9.x --> no zero crossing yet --> 2.8 --> 2,
// and from 9.7(DigitalTransitionRangeLead) 3.1 --> 2
// everything >=x.4 can be considered as current number in transition. With 9.x predecessor the current
// number can still be x.6 - x.7.
// Preceding (else - branch) does not already happen from 9.
if (Digital_Transition_Area_Forward>=number_of_predecessors || result_after_decimal_point >= 4)
// The current digit, like the previous digit, does not yet have a zero crossing.
result = result_before_decimal_point % 10;
else
// current digit precedes the smaller digit (9.x). So already >=x.0 while the previous digit has not yet
// has no zero crossing. Therefore, it is reduced by 1.
result = (result_before_decimal_point - 1 + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - O analogue predecessor, >= 9.5 --> no zero crossing yet = " + std::to_string(result) +
" number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty) + " result_after_decimal_point = " + std::to_string(result_after_decimal_point));
return result;
}
int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral_preceder, int eval_predecessors, float analogDigitalTransitionStart)
{
int result;
int result_after_decimal_point = ((int) floor(number * 10)) % 10;
int result_before_decimal_point = ((int) floor(number) + 10) % 10;
bool roundedUp = false;
// Within the digital inequalities
if ((result_after_decimal_point >= (10-Digital_Uncertainty * 10)) // Band around the digit --> Round off, as digit reaches inaccuracy in the frame
|| (eval_predecessors <= 4 && result_after_decimal_point>=6)) { // or digit runs after (analogue =0..4, digit >=6)
result = (int) (round(number) + 10) % 10;
roundedUp = true;
// before/ after decimal point, because we adjust the number based on the uncertainty.
result_after_decimal_point = ((int) floor(result * 10)) % 10;
result_before_decimal_point = ((int) floor(result) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - Digital Uncertainty - Result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder: " + std::to_string(numeral_preceder) +
" erg before comma: " + std::to_string(result_before_decimal_point) +
" erg after comma: " + std::to_string(result_after_decimal_point));
} else {
result = (int) ((int) trunc(number) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - NO digital Uncertainty - Result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder));
}
// No zero crossing has taken place.
// Only eval_predecessors used because numeral_preceder could be wrong here.
// numeral_preceder<=0.1 & eval_predecessors=9 corresponds to analogue was reset because of previous analogue that are not yet at 0.
if ((eval_predecessors>=6 && (numeral_preceder>analogDigitalTransitionStart || numeral_preceder<=0.2) && roundedUp))
{
result = ((result_before_decimal_point+10) - 1) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - Nulldurchgang noch nicht stattgefunden = " + std::to_string(result) +
" number: " + std::to_string(number) +
" numeral_preceder = " + std::to_string(numeral_preceder) +
" eerg after comma = " + std::to_string(result_after_decimal_point));
}
return result;
}
int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder)
{
float number_min, number_max;
int result;
if (numeral_preceder == -1)
{
result = (int) floor(number);
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - No predecessor - Result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
return result;
}
number_min = number - Analog_error / 10.0;
number_max = number + Analog_error / 10.0;
if ((int) floor(number_max) - (int) floor(number_min) != 0)
{
if (numeral_preceder <= Analog_error)
{
result = ((int) floor(number_max) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, correction upwards - result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
return result;
}
if (numeral_preceder >= 10 - Analog_error)
{
result = ((int) floor(number_min) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, downward correction - result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
return result;
}
}
result = ((int) floor(number) + 10) % 10;
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number unambiguous, no correction necessary - result = " + std::to_string(result) +
" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
return result;
}
bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
{
std::vector<string> splitted;
aktparamgraph = trim(aktparamgraph);
if (aktparamgraph.size() == 0)
if (!this->GetNextParagraph(pfile, aktparamgraph))
return false;
if ((toUpper(aktparamgraph) != "[ANALOG]") && (toUpper(aktparamgraph) != ";[ANALOG]")
&& (toUpper(aktparamgraph) != "[DIGIT]") && (toUpper(aktparamgraph) != ";[DIGIT]")
&& (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")
) // Paragraph passt nicht
return false;
if (aktparamgraph[0] == ';')
{
disabled = true;
while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
ESP_LOGD(TAG, "[Analog/Digit] is disabled!");
return true;
}
while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
{
splitted = ZerlegeZeile(aktparamgraph);
if ((toUpper(splitted[0]) == "ROIIMAGESLOCATION") && (splitted.size() > 1))
{
this->imagesLocation = "/sdcard" + splitted[1];
this->isLogImage = true;
}
if ((toUpper(splitted[0]) == "LOGIMAGESELECT") && (splitted.size() > 1))
{
LogImageSelect = splitted[1];
isLogImageSelect = true;
}
if ((toUpper(splitted[0]) == "ROIIMAGESRETENTION") && (splitted.size() > 1))
{
this->imagesRetention = std::stoi(splitted[1]);
}
if ((toUpper(splitted[0]) == "MODEL") && (splitted.size() > 1))
{
this->cnnmodelfile = splitted[1];
}
if ((toUpper(splitted[0]) == "CNNGOODTHRESHOLD") && (splitted.size() > 1))
{
CNNGoodThreshold = std::stof(splitted[1]);
}
if (splitted.size() >= 5)
{
general* _analog = GetGENERAL(splitted[0], true);
roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
neuroi->posx = std::stoi(splitted[1]);
neuroi->posy = std::stoi(splitted[2]);
neuroi->deltax = std::stoi(splitted[3]);
neuroi->deltay = std::stoi(splitted[4]);
neuroi->CCW = false;
if (splitted.size() >= 6)
{
neuroi->CCW = toUpper(splitted[5]) == "TRUE";
}
neuroi->result_float = -1;
neuroi->image = NULL;
neuroi->image_org = NULL;
}
if ((toUpper(splitted[0]) == "SAVEALLFILES") && (splitted.size() > 1))
{
if (toUpper(splitted[1]) == "TRUE")
SaveAllFiles = true;
}
}
if (!getNetworkParameter())
return false;
for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
{
GENERAL[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, modelchannel);
GENERAL[_ana]->ROI[i]->image_org = new CImageBasis(GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, 3);
}
return true;
}
general* ClassFlowCNNGeneral::FindGENERAL(string _name_number)
{
for (int i = 0; i < GENERAL.size(); ++i)
if (GENERAL[i]->name == _name_number)
return GENERAL[i];
return NULL;
}
general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
{
string _analog, _roi;
int _pospunkt = _name.find_first_of(".");
if (_pospunkt > -1)
{
_analog = _name.substr(0, _pospunkt);
_roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
}
else
{
_analog = "default";
_roi = _name;
}
general *_ret = NULL;
for (int i = 0; i < GENERAL.size(); ++i)
if (GENERAL[i]->name == _analog)
_ret = GENERAL[i];
if (!_create) // not found and should not be created
return _ret;
if (_ret == NULL)
{
_ret = new general;
_ret->name = _analog;
GENERAL.push_back(_ret);
}
roi* neuroi = new roi;
neuroi->name = _roi;
_ret->ROI.push_back(neuroi);
ESP_LOGD(TAG, "GetGENERAL - GENERAL %s - roi %s - CCW: %d", _analog.c_str(), _roi.c_str(), neuroi->CCW);
return _ret;
}
string ClassFlowCNNGeneral::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 ClassFlowCNNGeneral::doFlow(string time)
{
#ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
//register a buffer to record the memory trace
ESP_ERROR_CHECK( heap_trace_init_standalone(trace_record, NUM_RECORDS) );
// start tracing
ESP_ERROR_CHECK( heap_trace_start(HEAP_TRACE_LEAKS) );
#endif
if (disabled)
return true;
if (!doAlignAndCut(time)){
return false;
};
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "doFlow after alignment");
doNeuralNetwork(time);
RemoveOldLogs();
#ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
ESP_ERROR_CHECK( heap_trace_stop() );
heap_trace_dump();
#endif
return true;
}
bool ClassFlowCNNGeneral::doAlignAndCut(string time)
{
if (disabled)
return true;
CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
{
ESP_LOGD(TAG, "General %d - Align&Cut", i);
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);
if (SaveAllFiles)
{
if (GENERAL[_ana]->name == "default")
GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
else
GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
}
GENERAL[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, GENERAL[_ana]->ROI[i]->image);
if (SaveAllFiles)
{
if (GENERAL[_ana]->name == "default")
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
else
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
}
}
return true;
}
void ClassFlowCNNGeneral::DrawROI(CImageBasis *_zw)
{
if (_zw->ImageOkay())
{
if (CNNType == Analogue || CNNType == Analogue100)
{
int r = 0;
int g = 255;
int b = 0;
for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
{
_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);
_zw->drawEllipse( (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), (int) (GENERAL[_ana]->ROI[i]->deltay/2), r, g, b, 2);
_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);
_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);
}
}
else
{
for (int _dig = 0; _dig < GENERAL.size(); ++_dig)
for (int i = 0; i < GENERAL[_dig]->ROI.size(); ++i)
_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);
}
}
}
bool ClassFlowCNNGeneral::getNetworkParameter()
{
if (disabled)
return true;
CTfLiteClass *tflite = new CTfLiteClass;
string zwcnn = "/sdcard" + cnnmodelfile;
zwcnn = FormatFileName(zwcnn);
ESP_LOGD(TAG, "%s", zwcnn.c_str());
if (!tflite->LoadModel(zwcnn)) {
LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't load tflite model " + cnnmodelfile + " -> Init aborted!");
LogFile.WriteHeapInfo("getNetworkParameter-LoadModel");
delete tflite;
return false;
}
if (!tflite->MakeAllocate()) {
LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't allocate tflite model -> Init aborted!");
LogFile.WriteHeapInfo("getNetworkParameter-MakeAllocate");
delete tflite;
return false;
}
if (CNNType == AutoDetect)
{
tflite->GetInputDimension(false);
modelxsize = tflite->ReadInputDimenstion(0);
modelysize = tflite->ReadInputDimenstion(1);
modelchannel = tflite->ReadInputDimenstion(2);
int _anzoutputdimensions = tflite->GetAnzOutPut();
switch (_anzoutputdimensions)
{
case 2:
CNNType = Analogue;
ESP_LOGD(TAG, "TFlite-Type set to Analogue");
break;
case 10:
CNNType = DoubleHyprid10;
ESP_LOGD(TAG, "TFlite-Type set to DoubleHyprid10");
break;
case 11:
CNNType = Digital;
ESP_LOGD(TAG, "TFlite-Type set to Digital");
break;
/* case 20:
CNNType = DigitalHyprid10;
ESP_LOGD(TAG, "TFlite-Type set to DigitalHyprid10");
break;
*/
// case 22:
// CNNType = DigitalHyprid;
// ESP_LOGD(TAG, "TFlite-Type set to DigitalHyprid");
// break;
case 100:
if (modelxsize==32 && modelysize == 32) {
CNNType = Analogue100;
ESP_LOGD(TAG, "TFlite-Type set to Analogue100");
} else {
CNNType = Digital100;
ESP_LOGD(TAG, "TFlite-Type set to Digital");
}
break;
default:
LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "tflite does not fit the firmware (outout_dimension=" + std::to_string(_anzoutputdimensions) + ")");
}
}
delete tflite;
return true;
}
bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
{
if (disabled)
return true;
string logPath = CreateLogFolder(time);
CTfLiteClass *tflite = new CTfLiteClass;
string zwcnn = "/sdcard" + cnnmodelfile;
zwcnn = FormatFileName(zwcnn);
ESP_LOGD(TAG, "%s", zwcnn.c_str());
if (!tflite->LoadModel(zwcnn)) {
LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't load tflite model " + cnnmodelfile + " -> Exec aborted this round!");
LogFile.WriteHeapInfo("doNeuralNetwork-LoadModel");
delete tflite;
return false;
}
if (!tflite->MakeAllocate()) {
LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't allocate tfilte model -> Exec aborted this round!");
LogFile.WriteHeapInfo("doNeuralNetwork-MakeAllocate");
delete tflite;
return false;
}
for (int n = 0; n < GENERAL.size(); ++n) // For each NUMBER
{
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "Processing Number '" + GENERAL[n]->name + "'");
for (int roi = 0; roi < GENERAL[n]->ROI.size(); ++roi) // For each ROI
{
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "ROI #" + std::to_string(roi) + " - TfLite");
//ESP_LOGD(TAG, "General %d - TfLite", i);
switch (CNNType) {
case Analogue:
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Analogue");
{
float f1, f2;
f1 = 0; f2 = 0;
tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
tflite->Invoke();
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "After Invoke");
f1 = tflite->GetOutputValue(0);
f2 = tflite->GetOutputValue(1);
float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
if(GENERAL[n]->ROI[roi]->CCW)
GENERAL[n]->ROI[roi]->result_float = 10 - (result * 10);
else
GENERAL[n]->ROI[roi]->result_float = result * 10;
ESP_LOGD(TAG, "General result (Analog)%i - CCW: %d - %f", roi, GENERAL[n]->ROI[roi]->CCW, GENERAL[n]->ROI[roi]->result_float);
if (isLogImage)
LogImage(logPath, GENERAL[n]->ROI[roi]->name, &GENERAL[n]->ROI[roi]->result_float, NULL, time, GENERAL[n]->ROI[roi]->image_org);
} break;
case Digital:
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Digital");
{
GENERAL[n]->ROI[roi]->result_klasse = 0;
GENERAL[n]->ROI[roi]->result_klasse = tflite->GetClassFromImageBasis(GENERAL[n]->ROI[roi]->image);
ESP_LOGD(TAG, "General result (Digit)%i: %d", roi, GENERAL[n]->ROI[roi]->result_klasse);
if (isLogImage)
{
string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
if (isLogImageSelect)
{
if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
LogImage(logPath, _imagename, NULL, &GENERAL[n]->ROI[roi]->result_klasse, time, GENERAL[n]->ROI[roi]->image_org);
}
else
{
LogImage(logPath, _imagename, NULL, &GENERAL[n]->ROI[roi]->result_klasse, time, GENERAL[n]->ROI[roi]->image_org);
}
}
} break;
case DoubleHyprid10:
{
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: DoubleHyprid10");
int _num, _numplus, _numminus;
float _val, _valplus, _valminus;
float _fit;
float _result_save_file;
tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
tflite->Invoke();
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "After Invoke");
_num = tflite->GetOutClassification(0, 9);
_numplus = (_num + 1) % 10;
_numminus = (_num - 1 + 10) % 10;
_val = tflite->GetOutputValue(_num);
_valplus = tflite->GetOutputValue(_numplus);
_valminus = tflite->GetOutputValue(_numminus);
float result = _num;
if (_valplus > _valminus)
{
result = result + _valplus / (_valplus + _val);
_fit = _val + _valplus;
}
else
{
result = result - _valminus / (_val + _valminus);
_fit = _val + _valminus;
}
if (result >= 10)
result = result - 10;
if (result < 0)
result = result + 10;
string zw = "_num (p, m): " + to_string(_num) + " " + to_string(_numplus) + " " + to_string(_numminus);
zw = zw + " _val (p, m): " + to_string(_val) + " " + to_string(_valplus) + " " + to_string(_valminus);
zw = zw + " result: " + to_string(result) + " _fit: " + to_string(_fit);
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, zw);
_result_save_file = result;
if (_fit < CNNGoodThreshold)
{
GENERAL[n]->ROI[roi]->isReject = true;
result = -1;
_result_save_file+= 100; // In case fit is not sufficient, the result should still be saved with "-10x.y".
string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + ", Threshold: " + to_string(CNNGoodThreshold) + ")";
LogFile.WriteToFile(ESP_LOG_WARN, TAG, zw);
}
else
{
GENERAL[n]->ROI[roi]->isReject = false;
}
GENERAL[n]->ROI[roi]->result_float = result;
ESP_LOGD(TAG, "Result General(Analog)%i: %f", roi, GENERAL[n]->ROI[roi]->result_float);
if (isLogImage)
{
string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
if (isLogImageSelect)
{
if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
}
else
{
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
}
}
}
break;
case Digital100:
case Analogue100:
{
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Digital100 or Analogue100");
int _num;
float _result_save_file;
tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
tflite->Invoke();
_num = tflite->GetOutClassification();
if(GENERAL[n]->ROI[roi]->CCW)
GENERAL[n]->ROI[roi]->result_float = 10 - ((float)_num / 10.0);
else
GENERAL[n]->ROI[roi]->result_float = (float)_num / 10.0;
_result_save_file = GENERAL[n]->ROI[roi]->result_float;
GENERAL[n]->ROI[roi]->isReject = false;
ESP_LOGD(TAG, "Result General(Analog)%i - CCW: %d - %f", roi, GENERAL[n]->ROI[roi]->CCW, GENERAL[n]->ROI[roi]->result_float);
if (isLogImage)
{
string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
if (isLogImageSelect)
{
if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
}
else
{
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
}
}
} break;
default:
break;
}
}
}
delete tflite;
return true;
}
bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
{
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)
{
ESP_LOGD(TAG, "Image: %d", (int) GENERAL[_ana]->ROI[i]->image);
if (GENERAL[_ana]->ROI[i]->image)
{
if (GENERAL[_ana]->name == "default")
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
else
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
}
HTMLInfo *zw = new HTMLInfo;
if (GENERAL[_ana]->name == "default")
{
zw->filename = GENERAL[_ana]->ROI[i]->name + ".jpg";
zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
}
else
{
zw->filename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
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;
result.push_back(zw);
}
return result;
}
int ClassFlowCNNGeneral::getNumberGENERAL()
{
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);
}
}
string ClassFlowCNNGeneral::getReadoutRawString(int _analog)
{
string rt = "";
if (_analog >= GENERAL.size() || GENERAL[_analog]==NULL || GENERAL[_analog]->ROI.size() == 0)
return rt;
for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
{
if (CNNType == Analogue || CNNType == Analogue100)
{
rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_float, 1);
}
if (CNNType == Digital)
{
if (GENERAL[_analog]->ROI[i]->result_klasse == 10)
rt = rt + ",N";
else
rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_klasse, 0);
}
if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
{
rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_float, 1);
}
}
return rt;
}