#ifndef __CLASSCNNGENERAL__ #define __CLASSCNNGENERAL__ #include"ClassFlowDefineTypes.h" #include "ClassFlowAlignment.h" enum t_CNNType { AutoDetect, Analogue, Analogue100, Digital, DigitalHyprid10, DoubleHyprid10, Digital100, None }; class ClassFlowCNNGeneral : public ClassFlowImage { protected: t_CNNType CNNType; std::vector GENERAL; float CNNGoodThreshold; float AnalogFehler = 3.0; float AnalogToDigtalFehler = 0.8; float DigitalUnschaerfe = 0.2; int DigitalBand = 3; float DigitalAnalogerVorgaengerUebergangsbereich = 2; float DigitalUebergangsbereichVorgaengerAnalogToDigit = 1; // war vorher 2 float DigitalUebergangsbereichVorgaenger = 0.7; // 9.3 - 0.7 string cnnmodelfile; int modelxsize, modelysize, modelchannel; bool isLogImageSelect; string LogImageSelect; ClassFlowAlignment* flowpostalignment; bool SaveAllFiles; int ZeigerEvalAnalogNeu(float zahl, int ziffer_vorgaenger); int ZeigerEvalAnalogToDigitNeu(float zahl, float ziffer_vorgaenger, int eval_vorgaenger); int ZeigerEvalHybridNeu(float zahl, float zahl_vorgaenger, int eval_vorgaenger, bool AnalogerVorgaenger = false); bool doNeuralNetwork(string time); bool doAlignAndCut(string time); bool getNetworkParameter(); public: ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype = AutoDetect); bool ReadParameter(FILE* pfile, string& aktparamgraph); bool doFlow(string time); string getHTMLSingleStep(string host); string getReadout(int _analog, bool _extendedResolution = false, int prev = -1, float _vorgaengerAnalog = -1); void DrawROI(CImageBasis *_zw); std::vector GetHTMLInfo(); int getAnzahlGENERAL(); general* GetGENERAL(int _analog); general* GetGENERAL(string _name, bool _create); general* FindGENERAL(string _name_number); string getNameGENERAL(int _analog); bool isExtendedResolution(int _number = 0); void UpdateNameNumbers(std::vector *_name_numbers); t_CNNType getCNNType(){return CNNType;}; string name(){return "ClassFlowCNNGeneral";}; }; #endif