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CNNThreshold removed for Analog100 and Digital100

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This commit is contained in:
Frank Haverland
2022-07-28 19:43:45 +02:00
parent c124c38e70
commit 4a8d6592ab
2 changed files with 13 additions and 17 deletions
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21
code/components/jomjol_flowcontroll/ClassFlowCNNGeneral.cpp
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@@ -811,34 +811,21 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
case Analogue100:
{
int _num;
float _fit;
float _result_save_file;
tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
tflite->Invoke();
_num = tflite->GetOutClassification();
_fit = tflite->GetOutputValue(_num);
GENERAL[_ana]->ROI[i]->result_float = (float)_num / 10.0;
_result_save_file = GENERAL[_ana]->ROI[i]->result_float;
if (_fit < CNNGoodThreshold)
{
GENERAL[_ana]->ROI[i]->isReject = true;
GENERAL[_ana]->ROI[i]->result_float = -1;
_result_save_file+= 100; // Für den Fall, dass fit nicht ausreichend, soll trotzdem das Ergebnis mit "-10x.y" abgespeichert werden.
string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + "Threshold: " + to_string(CNNGoodThreshold);
printf("Value Rejected due to Threshold (Fit: %f, Threshold: %f\n", _fit, CNNGoodThreshold);
LogFile.WriteToFile(zw);
}
else
{
GENERAL[_ana]->ROI[i]->isReject = false;
}
GENERAL[_ana]->ROI[i]->isReject = false;
printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
if (isLogImage)