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Open Source Computer Vision Library
https://opencv.org/
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64 lines
1.9 KiB
64 lines
1.9 KiB
#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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// 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_GPU::downloadKeypoints(keypoints1GPU, keypoints1); |
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SURF_GPU::downloadKeypoints(keypoints2GPU, keypoints2); |
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SURF_GPU::downloadDescriptors(descriptors1GPU, descriptors1); |
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SURF_GPU::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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imshow("matches", img_matches); |
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waitKey(0); |
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return 0; |
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}
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