Merge pull request #3081 from akarsakov:small_fixes
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01bd4961e3
@ -75,7 +75,7 @@ OCL_PERF_TEST_P(DftFixture, Dft, ::testing::Combine(Values(C2C, R2R, C2R, R2C),
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const Size srcSize = get<1>(params);
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int flags = get<2>(params);
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int in_cn, out_cn;
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int in_cn = 0, out_cn = 0;
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switch (dft_type)
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{
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case R2R: flags |= cv::DFT_REAL_OUTPUT; in_cn = 1; out_cn = 1; break;
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@ -781,7 +781,8 @@ void cv::gemm( InputArray matA, InputArray matB, double alpha,
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InputArray matC, double beta, OutputArray _matD, int flags )
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{
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#ifdef HAVE_CLAMDBLAS
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CV_OCL_RUN(ocl::haveAmdBlas() && matA.dims() <= 2 && matB.dims() <= 2 && matC.dims() <= 2 && _matD.isUMat(),
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CV_OCL_RUN(ocl::haveAmdBlas() && matA.dims() <= 2 && matB.dims() <= 2 && matC.dims() <= 2 && _matD.isUMat() &&
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matA.cols() > 20 && matA.rows() > 20 && matB.cols() > 20, // since it works incorrect for small sizes
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ocl_gemm(matA, matB, alpha, matC, beta, _matD, flags))
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#endif
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@ -90,14 +90,15 @@ PARAM_TEST_CASE(Gemm,
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void generateTestData()
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{
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Size ARoiSize = randomSize(1, MAX_VALUE);
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// set minimum size to 20, since testing less sizes doesn't make sense
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Size ARoiSize = randomSize(20, MAX_VALUE);
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Border ABorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(A, A_roi, ARoiSize, ABorder, type, -11, 11);
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if (atrans)
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ARoiSize = Size(ARoiSize.height, ARoiSize.width);
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Size BRoiSize = randomSize(1, MAX_VALUE);
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Size BRoiSize = randomSize(20, MAX_VALUE);
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if (btrans)
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BRoiSize.width = ARoiSize.width;
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else
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@ -164,7 +164,7 @@ void Core_EigenTest_32::run(int) { check_full(CV_32FC1); }
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void Core_EigenTest_64::run(int) { check_full(CV_64FC1); }
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Core_EigenTest::Core_EigenTest()
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: eps_val_32(1e-3f), eps_vec_32(1e-2f),
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: eps_val_32(1e-3f), eps_vec_32(12e-3f),
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eps_val_64(1e-4f), eps_vec_64(1e-3f), ntests(100) {}
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Core_EigenTest::~Core_EigenTest() {}
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@ -39,6 +39,9 @@
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#define OUT_OF_RANGE -1
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// for identical rounding after dividing on different platforms
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#define ROUNDING_EPS 0.000001f
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#if histdims == 1
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__kernel void calcLUT(__global const uchar * histptr, int hist_step, int hist_offset, int hist_bins,
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@ -53,7 +56,7 @@ __kernel void calcLUT(__global const uchar * histptr, int hist_step, int hist_of
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{
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float lb = ranges[0], ub = ranges[1], gap = (ub - lb) / hist_bins;
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value -= lb;
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int bin = convert_int_sat_rtn(value / gap);
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int bin = convert_int_sat_rtn(value / gap + ROUNDING_EPS);
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if (bin >= hist_bins)
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lut[x] = OUT_OF_RANGE;
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@ -101,7 +104,7 @@ __kernel void calcLUT(int hist_bins, __global int * lut, int lut_offset,
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{
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float lb = ranges[0], ub = ranges[1], gap = (ub - lb) / hist_bins;
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value -= lb;
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int bin = convert_int_sat_rtn(value / gap);
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int bin = convert_int_sat_rtn(value / gap + ROUNDING_EPS);
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lut[x] = bin >= hist_bins ? OUT_OF_RANGE : bin;
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}
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@ -939,7 +939,8 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
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if (normalize && !src.isSubmatrix() && ddepth == sdepth &&
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(/*ippBorderType == BORDER_REPLICATE ||*/ /* returns ippStsStepErr: Step value is not valid */
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ippBorderType == BORDER_CONSTANT) && ocvAnchor == ippAnchor )
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ippBorderType == BORDER_CONSTANT) && ocvAnchor == ippAnchor &&
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dst.cols != ksize.width && dst.rows != ksize.height) // returns ippStsMaskSizeErr: mask has an illegal value
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{
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Ipp32s bufSize = 0;
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IppiSize roiSize = { dst.cols, dst.rows }, maskSize = { ksize.width, ksize.height };
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