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#include "opencv2/core.hpp"
#include "opencv2/core/ocl.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/img_hash.hpp"
#include <iostream>
using namespace cv;
using namespace cv::img_hash;
using namespace std;
template <typename T>
inline void test_one(const std::string &title, const Mat &a, const Mat &b)
{
cout << "=== " << title << " ===" << endl;
TickMeter tick;
Mat hashA, hashB;
Ptr<ImgHashBase> func;
func = T::create();
tick.reset(); tick.start();
func->compute(a, hashA);
tick.stop();
cout << "compute1: " << tick.getTimeMilli() << " ms" << endl;
tick.reset(); tick.start();
func->compute(b, hashB);
tick.stop();
cout << "compute2: " << tick.getTimeMilli() << " ms" << endl;
cout << "compare: " << func->compare(hashA, hashB) << endl << endl;;
}
int main(int argc, char **argv)
{
if (argc != 3)
{
cerr << "must input the path of input image and target image. ex : hash_samples lena.jpg lena2.jpg" << endl;
return -1;
}
ocl::setUseOpenCL(false);
Mat input = imread(argv[1]);
Mat target = imread(argv[2]);
test_one<AverageHash>("AverageHash", input, target);
test_one<PHash>("PHash", input, target);
test_one<MarrHildrethHash>("MarrHildrethHash", input, target);
test_one<RadialVarianceHash>("RadialVarianceHash", input, target);
test_one<BlockMeanHash>("BlockMeanHash", input, target);
return 0;
}