#pragma once

#include <opencv2/core/hal/interface.h>
#include <opencv2/core/mat.hpp>
#include <opencv2/core/types.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/features2d.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/objdetect.hpp>
#include <cstddef>
#include <filesystem>
#include <iostream>
#include <string>
#include <vector>

class preprocessor
{
public:
// vars
    std::vector<cv::Mat> animeNekoGirls;
    std::vector<cv::Mat> nonAnimeNekoGirls;
// methods
    void loadImg();
    void resizeImg(int size=256); //to 256x256 atm
    void normalizeImg(); //not doing norm anymore since the result is fucked up; no idea how to fix atm
    void convertToGrayscaleImg(); //'cause no colors equals less computational resources required
    void blurImg(int blurType, int kerx, int kery); //0 for gaussian, 1 for ...
    void detectEdgesImg(int algType, int thr1, int thr2); //0 for canny, 1 for ...
    void detectContours();
    void harrisImg(); //apply the Harris detection algo to our two classes
    void SIFTimg(); //I don't think this one will help us much
    bool boolDetectHuman();
    void imwriteToDiskImg();
};