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Open Source Computer Vision Library
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47 lines
1.3 KiB
47 lines
1.3 KiB
#include "perf_precomp.hpp" |
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#include <opencv2/imgproc.hpp> |
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using cv::Rect; |
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using std::tr1::get; |
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using namespace cv::softcascade; |
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typedef std::tr1::tuple<std::string, std::string> fixture; |
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typedef perf::TestBaseWithParam<fixture> detect; |
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namespace { |
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void extractRacts(std::vector<Detection> objectBoxes, std::vector<Rect>& rects) |
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{ |
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rects.clear(); |
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for (int i = 0; i < (int)objectBoxes.size(); ++i) |
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rects.push_back(objectBoxes[i].bb); |
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} |
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} |
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PERF_TEST_P(detect, SoftCascadeDetector, |
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testing::Combine(testing::Values(std::string("cv/cascadeandhog/cascades/inria_caltech-17.01.2013.xml")), |
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testing::Values(std::string("cv/cascadeandhog/images/image_00000000_0.png")))) |
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{ |
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cv::Mat colored = cv::imread(getDataPath(get<1>(GetParam()))); |
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ASSERT_FALSE(colored.empty()); |
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Detector cascade; |
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cv::FileStorage fs(getDataPath(get<0>(GetParam())), cv::FileStorage::READ); |
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ASSERT_TRUE(fs.isOpened()); |
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode())); |
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std::vector<Detection> objectBoxes; |
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TEST_CYCLE() |
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{ |
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cascade.detect(colored, cv::noArray(), objectBoxes); |
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} |
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std::vector<Rect> rects; |
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extractRacts(objectBoxes, rects); |
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std::sort(rects.begin(), rects.end(), perf::comparators::RectLess()); |
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SANITY_CHECK(rects); |
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} |