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Tegra-optimized minMaxLoc/minMaxIdx
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@ -345,7 +345,9 @@ PERF_TEST_P( Size_MatType, countNonZero, TYPICAL_MATS_C1 )
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/*
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// void minMaxLoc(InputArray src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, InputArray mask=noArray())
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*/
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PERF_TEST_P( Size_MatType, minMaxLoc, TYPICAL_MATS_C1 )
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PERF_TEST_P( Size_MatType, minMaxLoc, testing::Combine(
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testing::Values( TYPICAL_MAT_SIZES ),
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testing::Values( CV_8UC1, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_64FC1 ) ) )
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{
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Size sz = std::tr1::get<0>(GetParam());
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int matType = std::tr1::get<1>(GetParam());
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@ -354,7 +356,15 @@ PERF_TEST_P( Size_MatType, minMaxLoc, TYPICAL_MATS_C1 )
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double minVal, maxVal;
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Point minLoc, maxLoc;
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declare.in(src, WARMUP_RNG);
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// avoid early exit on 1 byte data
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if (matType == CV_8U)
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randu(src, 1, 254);
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else if (matType == CV_8S)
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randu(src, -127, 126);
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else
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warmup(src, WARMUP_RNG);
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declare.in(src);
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TEST_CYCLE(100) { minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc); }
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@ -702,12 +702,21 @@ static void minMaxIdx_64f(const double* src, const uchar* mask, double* minval,
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typedef void (*MinMaxIdxFunc)(const uchar*, const uchar*, int*, int*, size_t*, size_t*, int, size_t);
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#ifdef HAVE_TEGRA_OPTIMIZATION
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static MinMaxIdxFunc minmaxTab[] =
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{
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(MinMaxIdxFunc)tegra::minMaxIdx_8u, (MinMaxIdxFunc)tegra::minMaxIdx_8s, (MinMaxIdxFunc)tegra::minMaxIdx_16u,
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(MinMaxIdxFunc)tegra::minMaxIdx_16s, (MinMaxIdxFunc)tegra::minMaxIdx_32s, (MinMaxIdxFunc)tegra::minMaxIdx_32f,
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(MinMaxIdxFunc)tegra::minMaxIdx_64f, 0
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};
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#else
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static MinMaxIdxFunc minmaxTab[] =
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{
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(MinMaxIdxFunc)minMaxIdx_8u, (MinMaxIdxFunc)minMaxIdx_8s, (MinMaxIdxFunc)minMaxIdx_16u,
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(MinMaxIdxFunc)minMaxIdx_16s, (MinMaxIdxFunc)minMaxIdx_32s, (MinMaxIdxFunc)minMaxIdx_32f,
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(MinMaxIdxFunc)minMaxIdx_16s, (MinMaxIdxFunc)minMaxIdx_32s, (MinMaxIdxFunc)minMaxIdx_32f,
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(MinMaxIdxFunc)minMaxIdx_64f, 0
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};
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#endif
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static void ofs2idx(const Mat& a, size_t ofs, int* idx)
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{
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