#include <iostream>
#include <fstream>
#include <opencv2/core/core.hpp>
#include <string>
#include <opencv2/flann/flann.hpp>
#include <opencv2/features2d/features2d.hpp>

cv::Mat Img1, Img2;

//函式的形參和返回值都不能是IO流物件，而應該是IO流引用（且不能為const）。
//注意這裡使用了cv::Mat的引用為形參
//TxtToMat()函式將TXT檔案裡儲存的內容轉換成cv::Mat資料結構
 

void TxtToMat(std::ifstream & infile, cv::Mat & Img);

int main() {
	std::ifstream file("gendercenter1_1.txt");
	TxtToMat(file, Img1);
	Img1.convertTo(Img1, CV_32F);
	std::ifstream file1("agecenter1_1.txt");
	TxtToMat(file1, Img2);
	Img2.convertTo(Img2, CV_32F);
	cv::Ptr<cv::DescriptorMatcher> matchers = cv::DescriptorMatcher::create("FlannBased");
	//cv::BFMatcher matchers;
        //cv::FlannBasedMatcher matchers;
 

        std::vector<cv::DMatch> matches;
        //match(descriptor1, descriptor2, matches)，這裡的descriptor要求是CV_32F,而cv::Mat預設的是CV_8U資料型別
        matchers->match(Img1, Img2, matches);
	for (auto i = matches.begin(); i != matches.end(); i++) {
		std::cout << i->queryIdx << "------" << i->trainIdx << "-------" << i->distance << std::endl;
	}
	return 0;
}

void TxtToMat(std::ifstream & infile, cv::Mat & Img)
{
	std::string line;
	int num = 0;
	while (std::getline(infile, line)) {
		std::istringstream stream(line);
		double x;
		while (stream >> x) {
			Img.push_back(x);
		}
		num++;
	}
	Img = Img.reshape(1, num);
}