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Open Source Computer Vision Library
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48 lines
1.4 KiB
48 lines
1.4 KiB
#include "perf_precomp.hpp" |
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#include <opencv2/highgui/highgui.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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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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/* |
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//! restores the damaged image areas using one of the available intpainting algorithms |
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CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, |
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OutputArray dst, double inpaintRange, int flags ); |
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*/ |
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PERF_TEST_P( InpaintArea_InpaintingMethod, inpaint, |
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testing::Combine( |
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SZ_ALL_SMALL, |
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testing::ValuesIn(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 = std::tr1::get<0>(GetParam()); |
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int inpaintingMethod = std::tr1::get<1>(GetParam()); |
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Mat mask(src.size(), CV_8UC1, Scalar(0)); |
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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.time(30); |
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Mat result; |
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TEST_CYCLE(100) |
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{ |
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inpaint(src, mask, result, 10.0, inpaintingMethod); |
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//rectangle(result, inpaintArea, Scalar(255)); |
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//char buf[256]; |
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//sprintf(buf, "frame_%d_%d.jpg", sz.width, inpaintingMethod); |
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//imwrite(buf, result); |
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} |
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}
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