#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; }