#pragma once
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#include "NvInfer.h"
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#include <cuda_runtime.h>
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#include <device_launch_parameters.h>
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#include <assert.h>
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#include <fstream>
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#include <string>
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#include <opencv2/opencv.hpp>
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#include <json/json.h>
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#include "../utils.hpp"
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using namespace nvinfer1;
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class HAT {
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public:
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~HAT();
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bool isLoad = false;//是否加载
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bool initConfig(const char* enginefile, double confThreshold = 0.7, double nmsThreshold = 0.45);
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char* detect(unsigned char* bgrImageData, int width, int height);
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void detect(cv::Mat& image, std::vector<Box>& boxes);
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private:
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IRuntime* runtime{ nullptr };
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ICudaEngine* engine{ nullptr };
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IExecutionContext* context{ nullptr };
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int input_batch = 1;
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int input_channel = 3;
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int input_height = 640;
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int input_width = 640;
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int input_numel;
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int num_classes = 1;
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int output_numbox;
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int output_numprob;
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int output_numel;
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cudaStream_t stream = nullptr;
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double confThreshold_ = 0.5, nmsThreshold_ = 0.45;
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float* input_data_host = nullptr;
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float* output_data_host = nullptr;
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float* input_data_device = nullptr;
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float* output_data_device = nullptr;
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};
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