Open Source Computer Vision Library https://opencv.org/
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#include "test_precomp.hpp"
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_NONFREE
using namespace cv;
using namespace std;
TEST(SurfFeaturesFinder, CanFindInROIs)
{
Ptr<detail::FeaturesFinder> finder = new detail::SurfFeaturesFinder();
Mat img = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");
vector<Rect> rois;
rois.push_back(Rect(0, 0, img.cols / 2, img.rows / 2));
rois.push_back(Rect(img.cols / 2, img.rows / 2, img.cols - img.cols / 2, img.rows - img.rows / 2));
detail::ImageFeatures roi_features;
(*finder)(img, roi_features, rois);
int tl_rect_count = 0, br_rect_count = 0, bad_count = 0;
for (size_t i = 0; i < roi_features.keypoints.size(); ++i)
{
Point2f pt = roi_features.keypoints[i].pt;
if (pt.x >= rois[0].x && pt.y >= rois[0].y && pt.x <= rois[0].br().x && pt.y <= rois[0].br().y)
tl_rect_count++;
else if (pt.x >= rois[1].x && pt.y >= rois[1].y && pt.x <= rois[1].br().x && pt.y <= rois[1].br().y)
br_rect_count++;
else
bad_count++;
}
ASSERT_GT(tl_rect_count, 0);
ASSERT_GT(br_rect_count, 0);
ASSERT_EQ(bad_count, 0);
}
#endif