OCL: including FAST feature detector.
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@@ -116,6 +116,7 @@ using namespace cv;
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#define OCL_TEST_CYCLE() for(; startTimer(), next(); cv::ocl::finish(), stopTimer())
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#define OCL_TEST_CYCLE_MULTIRUN(runsNum) for(declare.runs(runsNum); startTimer(), next(); stopTimer()) for(int r = 0; r < runsNum; cv::ocl::finish(), ++r)
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// TODO: Move to the ts module
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namespace cvtest {
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namespace ocl {
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inline void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1)
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@@ -133,6 +134,60 @@ inline void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor
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throw perf::TestBase::PerfSkipTestException();
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}
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}
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struct KeypointIdxCompare
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{
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std::vector<cv::KeyPoint>* keypoints;
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explicit KeypointIdxCompare(std::vector<cv::KeyPoint>* _keypoints) : keypoints(_keypoints) {}
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bool operator ()(size_t i1, size_t i2) const
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{
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cv::KeyPoint kp1 = (*keypoints)[i1];
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cv::KeyPoint kp2 = (*keypoints)[i2];
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if (kp1.pt.x != kp2.pt.x)
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return kp1.pt.x < kp2.pt.x;
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if (kp1.pt.y != kp2.pt.y)
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return kp1.pt.y < kp2.pt.y;
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if (kp1.response != kp2.response)
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return kp1.response < kp2.response;
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return kp1.octave < kp2.octave;
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}
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};
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inline void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray())
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{
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std::vector<size_t> indexies(keypoints.size());
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for (size_t i = 0; i < indexies.size(); ++i)
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indexies[i] = i;
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std::sort(indexies.begin(), indexies.end(), KeypointIdxCompare(&keypoints));
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std::vector<cv::KeyPoint> new_keypoints;
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cv::Mat new_descriptors;
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new_keypoints.resize(keypoints.size());
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cv::Mat descriptors;
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if (_descriptors.needed())
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{
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descriptors = _descriptors.getMat();
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new_descriptors.create(descriptors.size(), descriptors.type());
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}
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for (size_t i = 0; i < indexies.size(); ++i)
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{
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size_t new_idx = indexies[i];
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new_keypoints[i] = keypoints[new_idx];
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if (!new_descriptors.empty())
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descriptors.row((int) new_idx).copyTo(new_descriptors.row((int) i));
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}
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keypoints.swap(new_keypoints);
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if (_descriptors.needed())
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new_descriptors.copyTo(_descriptors);
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}
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} // namespace cvtest::ocl
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} // namespace cvtest
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