#ifndef DETECTOR_H
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#define DETECTOR_H
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#include <iostream>
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#include <opencv2/opencv.hpp>
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#include "config.h"
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#include <experimental/filesystem>
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#include <fstream>
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#include <string>
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#include <chrono>
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#include <stdio.h>
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#include "model.h"
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struct Result
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{
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int id = -1;
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float prob = 0.f;
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cv::Rect rect;
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};
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using BatchResult = std::vector<Result>;
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enum ModelType
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{
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COMMON,
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SMALL
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};
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enum Precision
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{
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INT8 = 0,
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FP16,
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FP32
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};
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struct Config
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{
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float detect_thresh = 0.1;
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Precision inference_precison = FP32;
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ModelType net_type = COMMON;
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int gpu_id = 0;
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};
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class Detector
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{
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private:
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Config _config;
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NetworkInfo _info;
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InferParams _infer_param;
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std::vector<std::string> _vec_net_type{ "common","small"};
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std::vector<std::string> _vec_precision{ "kINT8","kHALF","kFLOAT" };
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std::unique_ptr<Detecter> _p_net = nullptr;
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Timer _m_timer;
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public:
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Detector();
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~Detector();
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void init(const Config &config);
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void detect(const std::vector<cv::Mat> &vec_image,
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std::vector<BatchResult> &vec_batch_result);
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private:
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void set_gpu_id(const int id=0);
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void parse_config();
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void build_net();
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// std::vector<BBoxInfo> decodeTensor(const int imageIdx, const int imageH, const int imageW, const TensorInfo& tensor) override;
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};
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#endif
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