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#include "../perf_precomp.hpp"
#include <opencv2/imgproc.hpp>
#include "opencv2/ts/ocl_perf.hpp"
namespace opencv_test
{
using namespace perf;
typedef tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
#ifdef HAVE_OPENCL
OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
testing::Combine(
testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml"),
string("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml") ),
testing::Values( string("cv/shared/lena.png"),
string("cv/cascadeandhog/images/bttf301.png"),
string("cv/cascadeandhog/images/class57.png") ),
testing::Values(30, 64, 90) ) )
{
const string cascadePath = get<0>(GetParam());
const string imagePath = get<1>(GetParam());
int min_size = get<2>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc( getDataPath(cascadePath) );
if (cc.empty())
FAIL() << "Can't load cascade file: " << getDataPath(cascadePath);
Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE);
if (img.empty())
FAIL() << "Can't load source image: " << getDataPath(imagePath);
vector<Rect> faces;
equalizeHist(img, img);
declare.in(img).time(60);
UMat uimg = img.getUMat(ACCESS_READ);
while(next())
{
faces.clear();
cvtest::ocl::perf::safeFinish();
startTimer();
cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize);
stopTimer();
}
sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK(faces, min_size/5);
}
#endif //HAVE_OPENCL
} // namespace
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