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switching to CV_HAAR_SCALE_IMAGE mode, enabling test
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@ -92,12 +92,12 @@ PERF_TEST(HaarFixture, Haar)
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typedef std::tr1::tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
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typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
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OCL_PERF_TEST_P(Cascade_Image_MinSize, DISABLED_CascadeClassifier,
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OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
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testing::Combine(testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
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string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml") ),
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testing::Values(string("cv/shared/lena.png"),
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string("cv/cascadeandhog/images/bttf301.png")/*,
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string("cv/cascadeandhog/images/class57.png")*/ ),
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testing::Values( string("cv/shared/lena.png"),
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string("cv/cascadeandhog/images/bttf301.png"),
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string("cv/cascadeandhog/images/class57.png") ),
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testing::Values(30, 64, 90)))
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{
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const string cascasePath = get<0>(GetParam());
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@ -121,7 +121,7 @@ OCL_PERF_TEST_P(Cascade_Image_MinSize, DISABLED_CascadeClassifier,
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faces.clear();
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startTimer();
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cc.detectMultiScale(img, faces, 1.1, 3, 0, minSize);
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cc.detectMultiScale(img, faces, 1.1, 3, CV_HAAR_SCALE_IMAGE, minSize);
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stopTimer();
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}
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}
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@ -137,7 +137,7 @@ OCL_PERF_TEST_P(Cascade_Image_MinSize, DISABLED_CascadeClassifier,
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ocl::finish();
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startTimer();
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cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize);
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cc.detectMultiScale(uimg, faces, 1.1, 3, CV_HAAR_SCALE_IMAGE, minSize);
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stopTimer();
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}
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}
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