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Refactored performance tests. TEST_CYCLE macro is renamed to TEST_CYCLE_N; SIMPLE_TEST_CYCLE is renamed to TEST_CYCLE; from now 100 iterations are default for performance tests

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This commit is contained in:
Andrey Kamaev
2011-12-29 16:46:16 +00:00
parent 80f422a531
commit 65f5343ed5
39 changed files with 1062 additions and 1039 deletions
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39
modules/objdetect/perf/perf_cascadeclassifier.cpp
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@@ -4,26 +4,30 @@
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, int> ImageName_MinSize_t;
typedef perf::TestBaseWithParam<ImageName_MinSize_t> ImageName_MinSize;
PERF_TEST_P( ImageName_MinSize, CascadeClassifierLBPFrontalFace,
testing::Combine(testing::Values( std::string("cv/shared/lena.jpg"),
std::string("cv/shared/1_itseez-0000247.jpg"),
std::string("cv/shared/1_itseez-0000289.jpg"),
std::string("cv/shared/1_itseez-0000492.jpg"),
std::string("cv/shared/1_itseez-0000573.jpg"),
std::string("cv/shared/1_itseez-0000803.jpg"),
std::string("cv/shared/1_itseez-0000892.jpg"),
std::string("cv/shared/1_itseez-0000984.jpg"),
std::string("cv/shared/1_itseez-0001238.jpg"),
std::string("cv/shared/1_itseez-0001438.jpg"),
std::string("cv/shared/1_itseez-0002524.jpg")),
testing::Values(24, 30, 40, 50, 60, 70, 80, 90) ) )
PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
testing::Combine(testing::Values( std::string("cv/shared/lena.jpg"),
std::string("cv/shared/1_itseez-0000247.jpg"),
std::string("cv/shared/1_itseez-0000289.jpg"),
std::string("cv/shared/1_itseez-0000492.jpg"),
std::string("cv/shared/1_itseez-0000573.jpg"),
std::string("cv/shared/1_itseez-0000803.jpg"),
std::string("cv/shared/1_itseez-0000892.jpg"),
std::string("cv/shared/1_itseez-0000984.jpg"),
std::string("cv/shared/1_itseez-0001238.jpg"),
std::string("cv/shared/1_itseez-0001438.jpg"),
std::string("cv/shared/1_itseez-0002524.jpg")),
testing::Values(24, 30, 40, 50, 60, 70, 80, 90)
)
)
{
const string filename = std::tr1::get<0>(GetParam());
int min_size = std::tr1::get<1>(GetParam());
const string filename = get<0>(GetParam());
int min_size = get<1>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc(getDataPath("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml"));
@@ -36,15 +40,14 @@ PERF_TEST_P( ImageName_MinSize, CascadeClassifierLBPFrontalFace,
vector<Rect> res;
declare.in(img);//.out(res)
equalizeHist(img, img);
declare.in(img);
while(next())
{
res.clear();
startTimer();
equalizeHist(img, img);
cc.detectMultiScale(img, res, 1.1, 3, 0, minSize);
stopTimer();
}