Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
CV_ENUM(InpaintingMethod, INPAINT_NS, INPAINT_TELEA)
typedef std::tr1::tuple<Size, InpaintingMethod> InpaintArea_InpaintingMethod_t;
typedef perf::TestBaseWithParam<InpaintArea_InpaintingMethod_t> InpaintArea_InpaintingMethod;
PERF_TEST_P(InpaintArea_InpaintingMethod, inpaint,
testing::Combine(
SZ_ALL_SMALL,
testing::ValuesIn(InpaintingMethod::all())
)
)
{
Mat src = imread(getDataPath("gpu/hog/road.png"));
Size sz = get<0>(GetParam());
int inpaintingMethod = get<1>(GetParam());
Mat mask(src.size(), CV_8UC1, Scalar(0));
Mat result(src.size(), src.type());
Rect inpaintArea(src.cols/3, src.rows/3, sz.width, sz.height);
mask(inpaintArea).setTo(255);
declare.in(src, mask).out(result).time(120);
TEST_CYCLE() inpaint(src, mask, result, 10.0, inpaintingMethod);
Mat inpaintedArea = result(inpaintArea);
SANITY_CHECK(inpaintedArea);
}