#pragma once
#include "NvInfer.h"
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <assert.h>
#include <fstream>
#include <string>
#include <opencv2/opencv.hpp>
#include <json/json.h>
#include "../utils.hpp"

using namespace nvinfer1;

class HAT {

public:
	~HAT();
	bool isLoad = false;//是否加载
	bool initConfig(const char* enginefile, double confThreshold = 0.7, double nmsThreshold = 0.45);
	char* detect(unsigned char* bgrImageData, int width, int height);
	void detect(cv::Mat& image, std::vector<Box>& boxes);

private:
	IRuntime* runtime{ nullptr };
	ICudaEngine* engine{ nullptr };
	IExecutionContext* context{ nullptr };

	int input_batch = 1;
	int input_channel = 3;
	int input_height = 640;
	int input_width = 640;
	int input_numel;

	int num_classes = 1;
	int output_numbox;
	int output_numprob;
	int output_numel;

	cudaStream_t stream = nullptr;

	double confThreshold_ = 0.5, nmsThreshold_ = 0.45;

	float* input_data_host = nullptr;
	float* output_data_host = nullptr;

	float* input_data_device = nullptr;
	float* output_data_device = nullptr;

};