yolo-fastestv2.h

#ifndef NCNN_H_
#define NCNN_H_

#include "net.h"

#include <vector>
#include <opencv2/opencv.hpp>

class TargetBox
{
private:
    float getWidth() { return (x2 - x1); };
    float getHeight() { return (y2 - y1); };

public:
    int x1;
    int y1;
    int x2;
    int y2;

    int cate;
    float score;

    float area() { return getWidth() * getHeight(); };
};

class yoloFastestv2
{
private:
    ncnn::Net net;
    std::vector<float> anchor;

    int numAnchor;
    int numOutput;
    int numThreads;
    int numCategory;
    int inputWidth, inputHeight;

    float nmsThresh;

    int nmsHandle(std::vector<TargetBox> &tmpBoxes, std::vector<TargetBox> &dstBoxes);
    int getCategory(const float *values, int index, int &category, float &score);
    int predHandle(const ncnn::Mat *out, std::vector<TargetBox> &dstBoxes,
                   const float scaleW, const float scaleH, const float thresh);

public:
    yoloFastestv2();
    ~yoloFastestv2();

    int init(const bool use_vulkan_compute=false);
    int loadModel(const char* paramPath, const char* binPath);
    int detection(const cv::Mat srcImg, std::vector<TargetBox> &dstBoxes,
                  const float thresh = 0.3);
};
#endif