70 lines
2.1 KiB
C++
70 lines
2.1 KiB
C++
#include <iostream>
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#include "opencv2/core/core.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/gpu/gpu.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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void help()
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{
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cout << "\nThis program demonstrates using SURF_GPU features detector, descriptor extractor and BruteForceMatcher_GPU" << endl;
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cout << "\nUsage:\n\tmatcher_simple_gpu <image1> <image2>" << endl;
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}
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int main(int argc, char* argv[])
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{
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if (argc != 3)
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{
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help();
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return -1;
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}
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GpuMat img1(imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE));
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GpuMat img2(imread(argv[2], CV_LOAD_IMAGE_GRAYSCALE));
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if (img1.empty() || img2.empty())
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{
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cout << "Can't read one of the images" << endl;
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return -1;
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}
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SURF_GPU surf;
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// detecting keypoints & computing descriptors
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GpuMat keypoints1GPU, keypoints2GPU;
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GpuMat descriptors1GPU, descriptors2GPU;
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surf(img1, GpuMat(), keypoints1GPU, descriptors1GPU);
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surf(img2, GpuMat(), keypoints2GPU, descriptors2GPU);
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cout << "FOUND " << keypoints1GPU.cols << " keypoints on first image" << endl;
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cout << "FOUND " << keypoints2GPU.cols << " keypoints on second image" << endl;
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// matching descriptors
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BruteForceMatcher_GPU< L2<float> > matcher;
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GpuMat trainIdx, distance;
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matcher.matchSingle(descriptors1GPU, descriptors2GPU, trainIdx, distance);
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// downloading results
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vector<KeyPoint> keypoints1, keypoints2;
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vector<float> descriptors1, descriptors2;
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vector<DMatch> matches;
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surf.downloadKeypoints(keypoints1GPU, keypoints1);
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surf.downloadKeypoints(keypoints2GPU, keypoints2);
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surf.downloadDescriptors(descriptors1GPU, descriptors1);
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surf.downloadDescriptors(descriptors2GPU, descriptors2);
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BruteForceMatcher_GPU< L2<float> >::matchDownload(trainIdx, distance, matches);
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// drawing the results
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Mat img_matches;
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drawMatches(img1, keypoints1, img2, keypoints2, matches, img_matches);
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namedWindow("matches", 0);
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imshow("matches", img_matches);
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waitKey(0);
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return 0;
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}
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