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@@ -20,8 +20,7 @@ static const char* TAG = "CNN";
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#endif
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-ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG)
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-{
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+ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG) {
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string cnnmodelfile = "";
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modelxsize = 1;
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modelysize = 1;
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@@ -38,16 +37,16 @@ ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNTy
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}
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-string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution, int prev, float _before_narrow_Analog, float analogDigitalTransitionStart)
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-{
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+string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution, int prev, float _before_narrow_Analog, float analogDigitalTransitionStart) {
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string result = "";
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- if (GENERAL[_analog]->ROI.size() == 0)
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+ if (GENERAL[_analog]->ROI.size() == 0) {
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return result;
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+ }
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+
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout _analog=" + std::to_string(_analog) + ", _extendedResolution=" + std::to_string(_extendedResolution) + ", prev=" + std::to_string(prev));
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- if (CNNType == Analogue || CNNType == Analogue100)
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- {
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+ if (CNNType == Analogue || CNNType == Analogue100) {
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float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
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int result_after_decimal_point = ((int) floor(number * 10) + 10) % 10;
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@@ -55,37 +54,35 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution
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// 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));
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result = std::to_string(prev);
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- if (_extendedResolution)
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+ if (_extendedResolution) {
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result = result + std::to_string(result_after_decimal_point);
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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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+ for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i) {
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prev = PointerEvalAnalogNew(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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return result;
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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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+ if (CNNType == Digital) {
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+ for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i) {
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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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+ }
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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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return result;
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}
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- if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
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- {
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-
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+ if ((CNNType == DoubleHyprid10) || (CNNType == Digital100)) {
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float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
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- if (number >= 0) // NaN?
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- {
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- if (_extendedResolution) // is only set if it is the first digit (no analogue before!)
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- {
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+ // NaN?
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+ if (number >= 0) {
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+ // is only set if it is the first digit (no analogue before!)
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+ if (_extendedResolution) {
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int result_after_decimal_point = ((int) floor(number * 10)) % 10;
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int result_before_decimal_point = ((int) floor(number)) % 10;
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@@ -93,36 +90,32 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution
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prev = result_before_decimal_point;
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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));
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}
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- else
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- {
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- if (_before_narrow_Analog >= 0)
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+ else {
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+ if (_before_narrow_Analog >= 0) {
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prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, _before_narrow_Analog, prev, true, analogDigitalTransitionStart);
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- else
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+ }
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+ else {
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prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev, prev);
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+ }
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result = std::to_string(prev);
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(dig100) prev=" + std::to_string(prev));
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-
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}
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}
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- else
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- {
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+ else {
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result = "N";
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- if (_extendedResolution && (CNNType != Digital))
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+ if (_extendedResolution && (CNNType != Digital)) {
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result = "NN";
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+ }
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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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+ for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i) {
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+ if (GENERAL[_analog]->ROI[i]->result_float >= 0) {
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prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, prev);
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#PointerEvalHybridNew()= " + std::to_string(prev));
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result = std::to_string(prev) + result;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#result= " + result);
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-
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}
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- else
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- {
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+ else {
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prev = -1;
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result = "N" + result;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(result_float<0 /'N') result_float=" + std::to_string(GENERAL[_analog]->ROI[i]->result_float));
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@@ -150,14 +143,12 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution
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*
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* @return int the determined number of the current ROI
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*/
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-int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_predecessors, int eval_predecessors, bool Analog_Predecessors, float digitalAnalogTransitionStart)
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-{
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+int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_predecessors, int eval_predecessors, bool Analog_Predecessors, float digitalAnalogTransitionStart) {
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int result;
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int result_after_decimal_point = ((int) floor(number * 10)) % 10;
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int result_before_decimal_point = ((int) floor(number) + 10) % 10;
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- if (eval_predecessors < 0)
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- {
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+ if (eval_predecessors < 0) {
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// on first digit is no spezial logic for transition needed
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// we use the recognition as given. The result is the int value of the recognition
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// add precisition of 2 digits and round before trunc
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@@ -168,37 +159,40 @@ int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_pred
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return result;
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}
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- if (Analog_Predecessors)
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- {
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+ if (Analog_Predecessors) {
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result = PointerEvalAnalogToDigitNew(number, number_of_predecessors, eval_predecessors, digitalAnalogTransitionStart);
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - Analog predecessor, evaluation over PointerEvalAnalogNew = " + std::to_string(result) +
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" 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));
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return result;
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}
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- if ((number_of_predecessors >= Digital_Transition_Area_Predecessor ) && (number_of_predecessors <= (10.0 - Digital_Transition_Area_Predecessor)))
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- {
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+ if ((number_of_predecessors >= Digital_Transition_Area_Predecessor ) && (number_of_predecessors <= (10.0 - Digital_Transition_Area_Predecessor))) {
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// no digit change, because predecessor is far enough away (0+/-DigitalTransitionRangePredecessor) --> number is rounded
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- 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
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+ // Band around the digit --> Round off, as digit reaches inaccuracy in the frame
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+ if ((result_after_decimal_point <= DigitalBand) || (result_after_decimal_point >= (10-DigitalBand))) {
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result = ((int) round(number) + 10) % 10;
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- else
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+ }
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+ else {
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result = ((int) trunc(number) + 10) % 10;
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+ }
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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) +
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" 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));
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return result;
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}
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- 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)
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- {
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+ // 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)
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+ if (eval_predecessors <= 1) {
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// We simply assume that the current digit after the zero crossing of the predecessor
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// has passed through at least half (x.5)
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- if (result_after_decimal_point > 5)
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+ if (result_after_decimal_point > 5) {
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// The current digit does not yet have a zero crossing, but the predecessor does..
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result = (result_before_decimal_point + 1) % 10;
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- else
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+ }
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+ else {
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// Act. digit and predecessor have zero crossing
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result = result_before_decimal_point % 10;
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+ }
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - NO analogue predecessor, zero crossing has taken placen = " + std::to_string(result) +
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" 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));
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return result;
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@@ -210,13 +204,15 @@ int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_pred
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// everything >=x.4 can be considered as current number in transition. With 9.x predecessor the current
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// number can still be x.6 - x.7.
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// Preceding (else - branch) does not already happen from 9.
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- if (Digital_Transition_Area_Forward>=number_of_predecessors || result_after_decimal_point >= 4)
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+ if (Digital_Transition_Area_Forward>=number_of_predecessors || result_after_decimal_point >= 4) {
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// The current digit, like the previous digit, does not yet have a zero crossing.
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result = result_before_decimal_point % 10;
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- else
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+ }
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+ else {
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// current digit precedes the smaller digit (9.x). So already >=x.0 while the previous digit has not yet
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// has no zero crossing. Therefore, it is reduced by 1.
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result = (result_before_decimal_point - 1 + 10) % 10;
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+ }
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - O analogue predecessor, >= 9.5 --> no zero crossing yet = " + std::to_string(result) +
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" 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));
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@@ -224,8 +220,7 @@ int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_pred
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}
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-int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral_preceder, int eval_predecessors, float analogDigitalTransitionStart)
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-{
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+int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral_preceder, int eval_predecessors, float analogDigitalTransitionStart) {
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int result;
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int result_after_decimal_point = ((int) floor(number * 10)) % 10;
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int result_before_decimal_point = ((int) floor(number) + 10) % 10;
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@@ -243,7 +238,8 @@ int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral
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" number: " + std::to_string(number) + " numeral_preceder: " + std::to_string(numeral_preceder) +
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" erg before comma: " + std::to_string(result_before_decimal_point) +
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" erg after comma: " + std::to_string(result_after_decimal_point));
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- } else {
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+ }
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+ else {
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result = (int) ((int) trunc(number) + 10) % 10;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - NO digital Uncertainty - Result = " + std::to_string(result) +
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" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder));
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@@ -252,28 +248,23 @@ int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral
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// No zero crossing has taken place.
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// Only eval_predecessors used because numeral_preceder could be wrong here.
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// numeral_preceder<=0.1 & eval_predecessors=9 corresponds to analogue was reset because of previous analogue that are not yet at 0.
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- if ((eval_predecessors>=6 && (numeral_preceder>analogDigitalTransitionStart || numeral_preceder<=0.2) && roundedUp))
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- {
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+ if ((eval_predecessors>=6 && (numeral_preceder>analogDigitalTransitionStart || numeral_preceder<=0.2) && roundedUp)) {
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result = ((result_before_decimal_point+10) - 1) % 10;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - Nulldurchgang noch nicht stattgefunden = " + std::to_string(result) +
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" number: " + std::to_string(number) +
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" numeral_preceder = " + std::to_string(numeral_preceder) +
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" eerg after comma = " + std::to_string(result_after_decimal_point));
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-
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}
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return result;
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-
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}
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-int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder)
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-{
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+int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder) {
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float number_min, number_max;
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int result;
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- if (numeral_preceder == -1)
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- {
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+ if (numeral_preceder == -1) {
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result = (int) floor(number);
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - No predecessor - Result = " + std::to_string(result) +
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" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
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@@ -283,17 +274,14 @@ int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder
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number_min = number - Analog_error / 10.0;
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number_max = number + Analog_error / 10.0;
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- if ((int) floor(number_max) - (int) floor(number_min) != 0)
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- {
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- if (numeral_preceder <= Analog_error)
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- {
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+ if ((int) floor(number_max) - (int) floor(number_min) != 0) {
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+ if (numeral_preceder <= Analog_error) {
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result = ((int) floor(number_max) + 10) % 10;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, correction upwards - result = " + std::to_string(result) +
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" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
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return result;
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}
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- if (numeral_preceder >= 10 - Analog_error)
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- {
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+ if (numeral_preceder >= 10 - Analog_error) {
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result = ((int) floor(number_min) + 10) % 10;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, downward correction - result = " + std::to_string(result) +
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" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
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@@ -301,7 +289,6 @@ int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder
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}
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}
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-
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result = ((int) floor(number) + 10) % 10;
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LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number unambiguous, no correction necessary - result = " + std::to_string(result) +
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" number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
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@@ -310,25 +297,25 @@ int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder
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}
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-bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
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-{
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+bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph) {
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std::vector<string> splitted;
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aktparamgraph = trim(aktparamgraph);
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- if (aktparamgraph.size() == 0)
|
|
|
- if (!this->GetNextParagraph(pfile, 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
|
|
|
+ && (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")) {
|
|
|
+ // Paragraph passt nicht
|
|
|
return false;
|
|
|
+ }
|
|
|
|
|
|
- if (aktparamgraph[0] == ';')
|
|
|
- {
|
|
|
+ if (aktparamgraph[0] == ';') {
|
|
|
disabled = true;
|
|
|
while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
|
|
|
ESP_LOGD(TAG, "[Analog/Digit] is disabled!");
|
|
|
@@ -336,36 +323,31 @@ bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
|
|
|
}
|
|
|
|
|
|
|
|
|
- while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
|
|
|
- {
|
|
|
+ while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph)) {
|
|
|
splitted = ZerlegeZeile(aktparamgraph);
|
|
|
- if ((toUpper(splitted[0]) == "ROIIMAGESLOCATION") && (splitted.size() > 1))
|
|
|
- {
|
|
|
+ if ((toUpper(splitted[0]) == "ROIIMAGESLOCATION") && (splitted.size() > 1)) {
|
|
|
this->imagesLocation = "/sdcard" + splitted[1];
|
|
|
this->isLogImage = true;
|
|
|
}
|
|
|
- if ((toUpper(splitted[0]) == "LOGIMAGESELECT") && (splitted.size() > 1))
|
|
|
- {
|
|
|
+
|
|
|
+ if ((toUpper(splitted[0]) == "LOGIMAGESELECT") && (splitted.size() > 1)) {
|
|
|
LogImageSelect = splitted[1];
|
|
|
isLogImageSelect = true;
|
|
|
}
|
|
|
|
|
|
- if ((toUpper(splitted[0]) == "ROIIMAGESRETENTION") && (splitted.size() > 1))
|
|
|
- {
|
|
|
+ if ((toUpper(splitted[0]) == "ROIIMAGESRETENTION") && (splitted.size() > 1)) {
|
|
|
this->imagesRetention = std::stoi(splitted[1]);
|
|
|
}
|
|
|
|
|
|
- if ((toUpper(splitted[0]) == "MODEL") && (splitted.size() > 1))
|
|
|
- {
|
|
|
+ if ((toUpper(splitted[0]) == "MODEL") && (splitted.size() > 1)) {
|
|
|
this->cnnmodelfile = splitted[1];
|
|
|
}
|
|
|
|
|
|
- if ((toUpper(splitted[0]) == "CNNGOODTHRESHOLD") && (splitted.size() > 1))
|
|
|
- {
|
|
|
+ if ((toUpper(splitted[0]) == "CNNGOODTHRESHOLD") && (splitted.size() > 1)) {
|
|
|
CNNGoodThreshold = std::stof(splitted[1]);
|
|
|
}
|
|
|
- if (splitted.size() >= 5)
|
|
|
- {
|
|
|
+
|
|
|
+ if (splitted.size() >= 5) {
|
|
|
general* _analog = GetGENERAL(splitted[0], true);
|
|
|
roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
|
|
|
neuroi->posx = std::stoi(splitted[1]);
|
|
|
@@ -373,19 +355,20 @@ bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
|
|
|
neuroi->deltax = std::stoi(splitted[3]);
|
|
|
neuroi->deltay = std::stoi(splitted[4]);
|
|
|
neuroi->CCW = false;
|
|
|
- if (splitted.size() >= 6)
|
|
|
- {
|
|
|
+
|
|
|
+ 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")
|
|
|
+ if ((toUpper(splitted[0]) == "SAVEALLFILES") && (splitted.size() > 1)) {
|
|
|
+ if (toUpper(splitted[1]) == "TRUE") {
|
|
|
SaveAllFiles = true;
|
|
|
+ }
|
|
|
}
|
|
|
}
|
|
|
|
|
|
@@ -396,55 +379,57 @@ bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
|
|
|
}
|
|
|
|
|
|
|
|
|
- for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
|
|
|
- for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
|
|
|
- {
|
|
|
+ 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("ROI " + GENERAL[_ana]->ROI[i]->name,
|
|
|
modelxsize, modelysize, modelchannel);
|
|
|
GENERAL[_ana]->ROI[i]->image_org = new CImageBasis("ROI " + GENERAL[_ana]->ROI[i]->name + " original",
|
|
|
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)
|
|
|
+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)
|
|
|
-{
|
|
|
+general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true) {
|
|
|
string _analog, _roi;
|
|
|
int _pospunkt = _name.find_first_of(".");
|
|
|
|
|
|
- if (_pospunkt > -1)
|
|
|
- {
|
|
|
+ if (_pospunkt > -1) {
|
|
|
_analog = _name.substr(0, _pospunkt);
|
|
|
_roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
|
|
|
}
|
|
|
- else
|
|
|
- {
|
|
|
+ else {
|
|
|
_analog = "default";
|
|
|
_roi = _name;
|
|
|
}
|
|
|
|
|
|
general *_ret = NULL;
|
|
|
|
|
|
- for (int i = 0; i < GENERAL.size(); ++i)
|
|
|
- if (GENERAL[i]->name == _analog)
|
|
|
+ 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
|
|
|
+ // not found and should not be created
|
|
|
+ if (!_create) {
|
|
|
return _ret;
|
|
|
+ }
|
|
|
|
|
|
- if (_ret == NULL)
|
|
|
- {
|
|
|
+ if (_ret == NULL) {
|
|
|
_ret = new general;
|
|
|
_ret->name = _analog;
|
|
|
GENERAL.push_back(_ret);
|
|
|
@@ -461,8 +446,7 @@ general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
|
|
|
}
|
|
|
|
|
|
|
|
|
-string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
|
|
|
-{
|
|
|
+string ClassFlowCNNGeneral::getHTMLSingleStep(string host) {
|
|
|
string result, zw;
|
|
|
std::vector<HTMLInfo*> htmlinfo;
|
|
|
|
|
|
@@ -470,8 +454,8 @@ string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
|
|
|
result = result + "Analog Pointers: <p> ";
|
|
|
|
|
|
htmlinfo = GetHTMLInfo();
|
|
|
- for (int i = 0; i < htmlinfo.size(); ++i)
|
|
|
- {
|
|
|
+
|
|
|
+ for (int i = 0; i < htmlinfo.size(); ++i) {
|
|
|
std::stringstream stream;
|
|
|
stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
|
|
|
zw = stream.str();
|
|
|
@@ -479,15 +463,14 @@ string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
|
|
|
result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
|
|
|
delete htmlinfo[i];
|
|
|
}
|
|
|
+
|
|
|
htmlinfo.clear();
|
|
|
|
|
|
return result;
|
|
|
}
|
|
|
|
|
|
|
|
|
-bool ClassFlowCNNGeneral::doFlow(string time)
|
|
|
-{
|
|
|
-
|
|
|
+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) );
|
|
|
@@ -495,8 +478,9 @@ bool ClassFlowCNNGeneral::doFlow(string time)
|
|
|
ESP_ERROR_CHECK( heap_trace_start(HEAP_TRACE_LEAKS) );
|
|
|
#endif
|
|
|
|
|
|
- if (disabled)
|
|
|
+ if (disabled) {
|
|
|
return true;
|
|
|
+ }
|
|
|
|
|
|
if (!doAlignAndCut(time)){
|
|
|
return false;
|
|
|
@@ -517,79 +501,80 @@ bool ClassFlowCNNGeneral::doFlow(string time)
|
|
|
}
|
|
|
|
|
|
|
|
|
-bool ClassFlowCNNGeneral::doAlignAndCut(string time)
|
|
|
-{
|
|
|
- if (disabled)
|
|
|
+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)
|
|
|
- {
|
|
|
+ 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")
|
|
|
+ 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
|
|
|
+ }
|
|
|
+ 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")
|
|
|
+ if (SaveAllFiles) {
|
|
|
+ if (GENERAL[_ana]->name == "default") {
|
|
|
GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
|
|
|
- else
|
|
|
+ }
|
|
|
+ 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)
|
|
|
- {
|
|
|
+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)
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ 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)
|
|
|
+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");
|
|
|
@@ -604,16 +589,14 @@ bool ClassFlowCNNGeneral::getNetworkParameter()
|
|
|
return false;
|
|
|
}
|
|
|
|
|
|
- if (CNNType == AutoDetect)
|
|
|
- {
|
|
|
+ if (CNNType == AutoDetect) {
|
|
|
tflite->GetInputDimension(false);
|
|
|
modelxsize = tflite->ReadInputDimenstion(0);
|
|
|
modelysize = tflite->ReadInputDimenstion(1);
|
|
|
modelchannel = tflite->ReadInputDimenstion(2);
|
|
|
|
|
|
int _anzoutputdimensions = tflite->GetAnzOutPut();
|
|
|
- switch (_anzoutputdimensions)
|
|
|
- {
|
|
|
+ switch (_anzoutputdimensions) {
|
|
|
case 2:
|
|
|
CNNType = Analogue;
|
|
|
ESP_LOGD(TAG, "TFlite-Type set to Analogue");
|
|
|
@@ -639,7 +622,8 @@ bool ClassFlowCNNGeneral::getNetworkParameter()
|
|
|
if (modelxsize==32 && modelysize == 32) {
|
|
|
CNNType = Analogue100;
|
|
|
ESP_LOGD(TAG, "TFlite-Type set to Analogue100");
|
|
|
- } else {
|
|
|
+ }
|
|
|
+ else {
|
|
|
CNNType = Digital100;
|
|
|
ESP_LOGD(TAG, "TFlite-Type set to Digital");
|
|
|
}
|
|
|
@@ -654,10 +638,10 @@ bool ClassFlowCNNGeneral::getNetworkParameter()
|
|
|
}
|
|
|
|
|
|
|
|
|
-bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
-{
|
|
|
- if (disabled)
|
|
|
+bool ClassFlowCNNGeneral::doNeuralNetwork(string time) {
|
|
|
+ if (disabled) {
|
|
|
return true;
|
|
|
+ }
|
|
|
|
|
|
string logPath = CreateLogFolder(time);
|
|
|
|
|
|
@@ -680,11 +664,11 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
return false;
|
|
|
}
|
|
|
|
|
|
- for (int n = 0; n < GENERAL.size(); ++n) // For each NUMBER
|
|
|
- {
|
|
|
+ // For each NUMBER
|
|
|
+ for (int n = 0; n < GENERAL.size(); ++n) {
|
|
|
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "Processing Number '" + GENERAL[n]->name + "'");
|
|
|
- for (int roi = 0; roi < GENERAL[n]->ROI.size(); ++roi) // For each ROI
|
|
|
- {
|
|
|
+ // For each ROI
|
|
|
+ for (int roi = 0; roi < GENERAL[n]->ROI.size(); ++roi) {
|
|
|
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "ROI #" + std::to_string(roi) + " - TfLite");
|
|
|
//ESP_LOGD(TAG, "General %d - TfLite", i);
|
|
|
|
|
|
@@ -703,14 +687,17 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
f2 = tflite->GetOutputValue(1);
|
|
|
float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
|
|
|
|
|
|
- if(GENERAL[n]->ROI[roi]->CCW)
|
|
|
+ if(GENERAL[n]->ROI[roi]->CCW) {
|
|
|
GENERAL[n]->ROI[roi]->result_float = 10 - (result * 10);
|
|
|
- else
|
|
|
+ }
|
|
|
+ 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)
|
|
|
+ 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:
|
|
|
@@ -720,22 +707,19 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
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)
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ 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
|
|
|
- {
|
|
|
+ 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");
|
|
|
@@ -758,62 +742,56 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
|
|
|
float result = _num;
|
|
|
|
|
|
- if (_valplus > _valminus)
|
|
|
- {
|
|
|
+ if (_valplus > _valminus) {
|
|
|
result = result + _valplus / (_valplus + _val);
|
|
|
_fit = _val + _valplus;
|
|
|
}
|
|
|
- else
|
|
|
- {
|
|
|
+ else {
|
|
|
result = result - _valminus / (_val + _valminus);
|
|
|
_fit = _val + _valminus;
|
|
|
-
|
|
|
}
|
|
|
- if (result >= 10)
|
|
|
+
|
|
|
+ if (result >= 10) {
|
|
|
result = result - 10;
|
|
|
- if (result < 0)
|
|
|
+ }
|
|
|
+
|
|
|
+ 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)
|
|
|
- {
|
|
|
+ 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
|
|
|
- {
|
|
|
+ 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)
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ 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
|
|
|
- {
|
|
|
+ else {
|
|
|
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
|
|
|
}
|
|
|
}
|
|
|
- }
|
|
|
- break;
|
|
|
+ } break;
|
|
|
case Digital100:
|
|
|
case Analogue100:
|
|
|
{
|
|
|
@@ -826,28 +804,27 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
|
|
|
_num = tflite->GetOutClassification();
|
|
|
|
|
|
- if(GENERAL[n]->ROI[roi]->CCW)
|
|
|
- GENERAL[n]->ROI[roi]->result_float = 10 - ((float)_num / 10.0);
|
|
|
- else
|
|
|
+ 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)
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ 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
|
|
|
- {
|
|
|
+ else {
|
|
|
LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
|
|
|
}
|
|
|
}
|
|
|
@@ -866,93 +843,94 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
|
|
}
|
|
|
|
|
|
|
|
|
-bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
|
|
|
-{
|
|
|
- if (CNNType == Digital)
|
|
|
+bool ClassFlowCNNGeneral::isExtendedResolution(int _number) {
|
|
|
+ if (CNNType == Digital) {
|
|
|
return false;
|
|
|
+ }
|
|
|
+
|
|
|
return true;
|
|
|
}
|
|
|
|
|
|
|
|
|
-std::vector<HTMLInfo*> ClassFlowCNNGeneral::GetHTMLInfo()
|
|
|
-{
|
|
|
+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)
|
|
|
- {
|
|
|
+ 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")
|
|
|
+ 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
|
|
|
+ }
|
|
|
+ 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")
|
|
|
- {
|
|
|
+ if (GENERAL[_ana]->name == "default") {
|
|
|
zw->filename = GENERAL[_ana]->ROI[i]->name + ".jpg";
|
|
|
zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
|
|
|
}
|
|
|
- else
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ if (CNNType == Digital) {
|
|
|
zw->val = GENERAL[_ana]->ROI[i]->result_klasse;
|
|
|
- else
|
|
|
+ }
|
|
|
+ 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()
|
|
|
-{
|
|
|
+int ClassFlowCNNGeneral::getNumberGENERAL() {
|
|
|
return GENERAL.size();
|
|
|
}
|
|
|
|
|
|
|
|
|
-string ClassFlowCNNGeneral::getNameGENERAL(int _analog)
|
|
|
-{
|
|
|
- if (_analog < 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())
|
|
|
+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++)
|
|
|
- {
|
|
|
+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)
|
|
|
+
|
|
|
+ for (int i = 0; i < (*_name_numbers).size(); ++i) {
|
|
|
+ if ((*_name_numbers)[i] == _name) {
|
|
|
found = true;
|
|
|
+ }
|
|
|
}
|
|
|
- if (!found)
|
|
|
+ if (!found) {
|
|
|
(*_name_numbers).push_back(_name);
|
|
|
+ }
|
|
|
}
|
|
|
}
|
|
|
|
|
|
@@ -961,26 +939,25 @@ string ClassFlowCNNGeneral::getReadoutRawString(int _analog)
|
|
|
{
|
|
|
string rt = "";
|
|
|
|
|
|
- if (_analog >= GENERAL.size() || GENERAL[_analog]==NULL || GENERAL[_analog]->ROI.size() == 0)
|
|
|
+ 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)
|
|
|
- {
|
|
|
+ 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)
|
|
|
+ if (CNNType == Digital) {
|
|
|
+ if (GENERAL[_analog]->ROI[i]->result_klasse >= 10) {
|
|
|
rt = rt + ",N";
|
|
|
- else
|
|
|
+ }
|
|
|
+ else {
|
|
|
rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_klasse, 0);
|
|
|
+ }
|
|
|
}
|
|
|
|
|
|
- if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
|
|
|
- {
|
|
|
+ if ((CNNType == DoubleHyprid10) || (CNNType == Digital100)) {
|
|
|
rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_float, 1);
|
|
|
}
|
|
|
}
|