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- #pragma once
- #ifndef CTFLITECLASS_H
- #define CTFLITECLASS_H
- #include "tensorflow/lite/micro/all_ops_resolver.h"
- #include "tensorflow/lite/micro/micro_error_reporter.h"
- #include "tensorflow/lite/micro/micro_interpreter.h"
- #include "tensorflow/lite/schema/schema_generated.h"
- #include "tensorflow/lite/micro/kernels/micro_ops.h"
- #include "esp_err.h"
- #include "esp_log.h"
- #include "CImageBasis.h"
- #ifdef SUPRESS_TFLITE_ERRORS
- #include "tensorflow/lite/core/api/error_reporter.h"
- #include "tensorflow/lite/micro/compatibility.h"
- #include "tensorflow/lite/micro/debug_log.h"
- ///// OwnErrorReporter to prevent printing of Errors (especially unavoidable in CalculateActivationRangeQuantized@kerne_util.cc)
- namespace tflite {
- class OwnMicroErrorReporter : public ErrorReporter {
- public:
- int Report(const char* format, va_list args) override;
- };
- } // namespace tflite
- ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
- #endif
- class CTfLiteClass
- {
- protected:
- tflite::ErrorReporter *error_reporter;
- const tflite::Model* model;
- tflite::MicroInterpreter* interpreter;
- TfLiteTensor* output = nullptr;
- static tflite::AllOpsResolver resolver;
- int kTensorArenaSize;
- uint8_t *tensor_arena;
- unsigned char *modelload = NULL;
- float* input;
- int input_i;
- int im_height, im_width, im_channel;
- long GetFileSize(std::string filename);
- unsigned char* ReadFileToCharArray(std::string _fn);
-
- public:
- CTfLiteClass();
- ~CTfLiteClass();
- bool LoadModel(std::string _fn);
- void MakeAllocate();
- void GetInputTensorSize();
- bool LoadInputImageBasis(CImageBasis *rs);
- void Invoke();
- int GetAnzOutPut(bool silent = true);
- int GetOutClassification(int _von = -1, int _bis = -1);
- int GetClassFromImageBasis(CImageBasis *rs);
- std::string GetStatusFlow();
- float GetOutputValue(int nr);
- void GetInputDimension(bool silent);
- int ReadInputDimenstion(int _dim);
- };
- #endif //CTFLITECLASS_H
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