#pragma once #ifndef CLASSFLOWCNNGENERAL_H #define CLASSFLOWCNNGENERAL_H #include"ClassFlowDefineTypes.h" #include "ClassFlowAlignment.h" enum t_CNNType { AutoDetect, Analogue, Analogue100, Digit, DigitHyprid10, DoubleHyprid10, Digit100, None }; class ClassFlowCNNGeneral : public ClassFlowImage { protected: t_CNNType CNNType; std::vector GENERAL; float CNNGoodThreshold; string cnnmodelfile; int modelxsize, modelysize, modelchannel; bool isLogImageSelect; string LogImageSelect; ClassFlowAlignment* flowpostalignment; bool SaveAllFiles; int PointerEvalAnalogNew(float zahl, int numeral_preceder); int PointerEvalAnalogToDigitNew(float zahl, float numeral_preceder, int eval_predecessors, float AnalogToDigitTransitionStart); int PointerEvalHybridNew(float zahl, float number_of_predecessors, int eval_predecessors, bool Analog_Predecessors = false, float AnalogToDigitTransitionStart=9.2); 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 _before_narrow_Analog = -1, float AnalogToDigitTransitionStart=9.2); string getReadoutRawString(int _analog); void DrawROI(CImageBasis *_zw); std::vector GetHTMLInfo(); int getNumberGENERAL(); 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