55 lines
2.1 KiB
C++
55 lines
2.1 KiB
C++
#include "perf_precomp.hpp"
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#include <opencv2/imgproc/imgproc.hpp>
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using namespace std;
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using namespace cv;
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using namespace perf;
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using std::tr1::make_tuple;
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using std::tr1::get;
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typedef std::tr1::tuple<std::string, int> ImageName_MinSize_t;
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typedef perf::TestBaseWithParam<ImageName_MinSize_t> ImageName_MinSize;
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PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
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testing::Combine(testing::Values( std::string("cv/shared/lena.jpg"),
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std::string("cv/shared/1_itseez-0000247.jpg"),
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std::string("cv/shared/1_itseez-0000289.jpg"),
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std::string("cv/shared/1_itseez-0000492.jpg"),
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std::string("cv/shared/1_itseez-0000573.jpg"),
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std::string("cv/shared/1_itseez-0000803.jpg"),
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std::string("cv/shared/1_itseez-0000892.jpg"),
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std::string("cv/shared/1_itseez-0000984.jpg"),
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std::string("cv/shared/1_itseez-0001238.jpg"),
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std::string("cv/shared/1_itseez-0001438.jpg"),
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std::string("cv/shared/1_itseez-0002524.jpg")),
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testing::Values(24, 30, 40, 50, 60, 70, 80, 90)
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)
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)
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{
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const string filename = get<0>(GetParam());
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int min_size = get<1>(GetParam());
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Size minSize(min_size, min_size);
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CascadeClassifier cc(getDataPath("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml"));
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if (cc.empty())
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FAIL() << "Can't load cascade file";
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Mat img=imread(getDataPath(filename), 0);
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if (img.empty())
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FAIL() << "Can't load source image";
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vector<Rect> res;
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equalizeHist(img, img);
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declare.in(img);
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while(next())
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{
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res.clear();
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startTimer();
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cc.detectMultiScale(img, res, 1.1, 3, 0, minSize);
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stopTimer();
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}
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}
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