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2024-11-07 11:25:17 -03:00

62 lines
2.2 KiB
C++

/*
* Created by Marcos Luciano
* https://www.github.com/marcoslucianops
*/
#ifndef CALIBRATOR_H
#define CALIBRATOR_H
#include <vector>
#include <cuda_runtime_api.h>
#include "NvInfer.h"
#include "opencv2/opencv.hpp"
#define CUDA_CHECK(status) { \
if (status != 0) { \
std::cout << "CUDA failure: " << cudaGetErrorString(status) << " in file " << __FILE__ << " at line " << \
__LINE__ << std::endl; \
abort(); \
} \
}
class Int8EntropyCalibrator2 : public nvinfer1::IInt8EntropyCalibrator2 {
public:
Int8EntropyCalibrator2(const int& batchSize, const int& channels, const int& height, const int& width,
const float& scaleFactor, const float* offsets, const int& inputFormat, const std::string& imgPath,
const std::string& calibTablePath);
virtual ~Int8EntropyCalibrator2();
int getBatchSize() const noexcept override;
bool getBatch(void* bindings[], const char* names[], int nbBindings) noexcept override;
const void* readCalibrationCache(std::size_t& length) noexcept override;
void writeCalibrationCache(const void* cache, size_t length) noexcept override;
private:
int batchSize;
int inputC;
int inputH;
int inputW;
int letterBox;
float scaleFactor;
const float* offsets;
int inputFormat;
std::string calibTablePath;
size_t imageIndex;
size_t inputCount;
std::vector<std::string> imgPaths;
float* batchData {nullptr};
void* deviceInput {nullptr};
bool readCache;
std::vector<char> calibrationCache;
};
std::vector<float> prepareImage(cv::Mat& img, int inputC, int inputH, int inputW, float scaleFactor,
const float* offsets, int inputFormat);
#endif //CALIBRATOR_H