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Open Source Computer Vision Library
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38 lines
1.1 KiB
38 lines
1.1 KiB
#include "perf_precomp.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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CV_ENUM(InpaintingMethod, INPAINT_NS, INPAINT_TELEA) |
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typedef std::tr1::tuple<Size, InpaintingMethod> InpaintArea_InpaintingMethod_t; |
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typedef perf::TestBaseWithParam<InpaintArea_InpaintingMethod_t> InpaintArea_InpaintingMethod; |
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PERF_TEST_P(InpaintArea_InpaintingMethod, inpaint, |
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testing::Combine( |
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testing::Values(::perf::szSmall24, ::perf::szSmall32, ::perf::szSmall64), |
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InpaintingMethod::all() |
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) |
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) |
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{ |
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Mat src = imread(getDataPath("gpu/hog/road.png")); |
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Size sz = get<0>(GetParam()); |
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int inpaintingMethod = get<1>(GetParam()); |
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Mat mask(src.size(), CV_8UC1, Scalar(0)); |
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Mat result(src.size(), src.type()); |
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Rect inpaintArea(src.cols/3, src.rows/3, sz.width, sz.height); |
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mask(inpaintArea).setTo(255); |
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declare.in(src, mask).out(result).time(120); |
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TEST_CYCLE() inpaint(src, mask, result, 10.0, inpaintingMethod); |
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Mat inpaintedArea = result(inpaintArea); |
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SANITY_CHECK(inpaintedArea); |
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}
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