mirror of
https://github.com/opencv/opencv.git
synced 2024-11-29 22:00:25 +08:00
6f3163f62d
Added the defaultNorm() method to the DescriptorExtractor class. This method returns the default norm type for each descriptor type. The tests and C/C++ samples were updated to get the norm type directly from the DescriptorExtractor inherited classes. This was reported in feature report #2182 (http://code.opencv.org/issues/2182). It will make it possible to get the norm type usually applied matching method for each descriptor, instead of passing it manually.
99 lines
2.6 KiB
C++
99 lines
2.6 KiB
C++
#include <iostream>
|
|
|
|
#include "opencv2/opencv_modules.hpp"
|
|
|
|
#ifdef HAVE_OPENCV_NONFREE
|
|
|
|
#include "opencv2/core/core.hpp"
|
|
#include "opencv2/features2d/features2d.hpp"
|
|
#include "opencv2/highgui/highgui.hpp"
|
|
#include "opencv2/cudafeatures2d.hpp"
|
|
#include "opencv2/nonfree/cuda.hpp"
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
using namespace cv::cuda;
|
|
|
|
static void help()
|
|
{
|
|
cout << "\nThis program demonstrates using SURF_CUDA features detector, descriptor extractor and BruteForceMatcher_CUDA" << endl;
|
|
cout << "\nUsage:\n\tmatcher_simple_gpu --left <image1> --right <image2>" << endl;
|
|
}
|
|
|
|
int main(int argc, char* argv[])
|
|
{
|
|
if (argc != 5)
|
|
{
|
|
help();
|
|
return -1;
|
|
}
|
|
|
|
GpuMat img1, img2;
|
|
for (int i = 1; i < argc; ++i)
|
|
{
|
|
if (string(argv[i]) == "--left")
|
|
{
|
|
img1.upload(imread(argv[++i], IMREAD_GRAYSCALE));
|
|
CV_Assert(!img1.empty());
|
|
}
|
|
else if (string(argv[i]) == "--right")
|
|
{
|
|
img2.upload(imread(argv[++i], IMREAD_GRAYSCALE));
|
|
CV_Assert(!img2.empty());
|
|
}
|
|
else if (string(argv[i]) == "--help")
|
|
{
|
|
help();
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
cv::cuda::printShortCudaDeviceInfo(cv::cuda::getDevice());
|
|
|
|
SURF_CUDA surf;
|
|
|
|
// detecting keypoints & computing descriptors
|
|
GpuMat keypoints1GPU, keypoints2GPU;
|
|
GpuMat descriptors1GPU, descriptors2GPU;
|
|
surf(img1, GpuMat(), keypoints1GPU, descriptors1GPU);
|
|
surf(img2, GpuMat(), keypoints2GPU, descriptors2GPU);
|
|
|
|
cout << "FOUND " << keypoints1GPU.cols << " keypoints on first image" << endl;
|
|
cout << "FOUND " << keypoints2GPU.cols << " keypoints on second image" << endl;
|
|
|
|
// matching descriptors
|
|
BFMatcher_CUDA matcher(surf.defaultNorm());
|
|
GpuMat trainIdx, distance;
|
|
matcher.matchSingle(descriptors1GPU, descriptors2GPU, trainIdx, distance);
|
|
|
|
// downloading results
|
|
vector<KeyPoint> keypoints1, keypoints2;
|
|
vector<float> descriptors1, descriptors2;
|
|
vector<DMatch> matches;
|
|
surf.downloadKeypoints(keypoints1GPU, keypoints1);
|
|
surf.downloadKeypoints(keypoints2GPU, keypoints2);
|
|
surf.downloadDescriptors(descriptors1GPU, descriptors1);
|
|
surf.downloadDescriptors(descriptors2GPU, descriptors2);
|
|
BFMatcher_CUDA::matchDownload(trainIdx, distance, matches);
|
|
|
|
// drawing the results
|
|
Mat img_matches;
|
|
drawMatches(Mat(img1), keypoints1, Mat(img2), keypoints2, matches, img_matches);
|
|
|
|
namedWindow("matches", 0);
|
|
imshow("matches", img_matches);
|
|
waitKey(0);
|
|
|
|
return 0;
|
|
}
|
|
|
|
#else
|
|
|
|
int main()
|
|
{
|
|
std::cerr << "OpenCV was built without nonfree module" << std::endl;
|
|
return 0;
|
|
}
|
|
|
|
#endif
|