Merge pull request #1974 from ilya-lavrenov:tapi_equalizehist
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commit
172a5d42a9
@ -38,7 +38,9 @@
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include "opencl_kernels.hpp"
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namespace cv
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{
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@ -3129,17 +3131,80 @@ CV_IMPL void cvEqualizeHist( const CvArr* srcarr, CvArr* dstarr )
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cv::equalizeHist(cv::cvarrToMat(srcarr), cv::cvarrToMat(dstarr));
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}
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namespace cv {
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enum
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{
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BINS = 256
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};
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static bool ocl_calcHist(InputArray _src, OutputArray _hist)
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{
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int compunits = ocl::Device::getDefault().maxComputeUnits();
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size_t wgs = ocl::Device::getDefault().maxWorkGroupSize();
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ocl::Kernel k1("calculate_histogram", ocl::imgproc::histogram_oclsrc,
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format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, wgs));
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if (k1.empty())
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return false;
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_hist.create(1, BINS, CV_32SC1);
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UMat src = _src.getUMat(), hist = _hist.getUMat(), ghist(1, BINS * compunits, CV_32SC1);
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k1.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::PtrWriteOnly(ghist),
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(int)src.total());
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size_t globalsize = compunits * wgs;
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if (!k1.run(1, &globalsize, &wgs, false))
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return false;
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ocl::Kernel k2("merge_histogram", ocl::imgproc::histogram_oclsrc,
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format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, (int)wgs));
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if (k2.empty())
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return false;
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k2.args(ocl::KernelArg::PtrReadOnly(ghist), ocl::KernelArg::PtrWriteOnly(hist));
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return k2.run(1, &wgs, &wgs, false);
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}
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static bool ocl_equalizeHist(InputArray _src, OutputArray _dst)
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{
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size_t wgs = ocl::Device::getDefault().maxWorkGroupSize();
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// calculation of histogram
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UMat hist;
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if (!ocl_calcHist(_src, hist))
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return false;
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UMat lut(1, 256, CV_8UC1);
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ocl::Kernel k("calcLUT", ocl::imgproc::histogram_oclsrc, format("-D BINS=%d -D HISTS_COUNT=1 -D WGS=%d", BINS, (int)wgs));
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k.args(ocl::KernelArg::PtrWriteOnly(lut), ocl::KernelArg::PtrReadOnly(hist), (int)_src.total());
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// calculation of LUT
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if (!k.run(1, &wgs, &wgs, false))
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return false;
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// execute LUT transparently
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LUT(_src, lut, _dst);
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return true;
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}
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}
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void cv::equalizeHist( InputArray _src, OutputArray _dst )
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{
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Mat src = _src.getMat();
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CV_Assert( src.type() == CV_8UC1 );
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CV_Assert( _src.type() == CV_8UC1 );
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if (_src.empty())
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return;
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if (ocl::useOpenCL() && _dst.isUMat() && ocl_equalizeHist(_src, _dst))
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return;
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Mat src = _src.getMat();
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_dst.create( src.size(), src.type() );
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Mat dst = _dst.getMat();
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if(src.empty())
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return;
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Mutex histogramLockInstance;
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const int hist_sz = EqualizeHistCalcHist_Invoker::HIST_SZ;
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120
modules/imgproc/src/opencl/histogram.cl
Normal file
120
modules/imgproc/src/opencl/histogram.cl
Normal file
@ -0,0 +1,120 @@
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Niko Li, newlife20080214@gmail.com
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// Jia Haipeng, jiahaipeng95@gmail.com
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// Xu Pang, pangxu010@163.com
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// Wenju He, wenju@multicorewareinc.com
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//
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__kernel void calculate_histogram(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols,
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__global uchar * hist, int total)
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{
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int lid = get_local_id(0);
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int id = get_global_id(0);
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int gid = get_group_id(0);
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__local int localhist[BINS];
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for (int i = lid; i < BINS; i += WGS)
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localhist[i] = 0;
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barrier(CLK_LOCAL_MEM_FENCE);
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for (int grain = HISTS_COUNT * WGS; id < total; id += grain)
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{
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int src_index = mad24(id / src_cols, src_step, src_offset + id % src_cols);
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atomic_inc(localhist + (int)src[src_index]);
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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for (int i = lid; i < BINS; i += WGS)
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*(__global int *)(hist + mad24(gid, BINS * (int)sizeof(int), i * (int)sizeof(int))) = localhist[i];
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}
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__kernel void merge_histogram(__global const int * ghist, __global int * hist)
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{
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int lid = get_local_id(0);
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#pragma unroll
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for (int i = lid; i < BINS; i += WGS)
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hist[i] = 0;
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barrier(CLK_LOCAL_MEM_FENCE);
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#pragma unroll
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for (int i = 0; i < HISTS_COUNT; ++i)
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{
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#pragma unroll
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for (int j = lid; j < BINS; j += WGS)
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hist[j] += ghist[mad24(i, BINS, j)];
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barrier(CLK_LOCAL_MEM_FENCE);
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}
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}
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__kernel void calcLUT(__global uchar * dst, __constant int * hist, int total)
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{
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int lid = get_local_id(0);
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__local int sumhist[BINS];
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__local float scale;
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sumhist[lid] = hist[lid];
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barrier(CLK_LOCAL_MEM_FENCE);
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if (lid == 0)
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{
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int sum = 0, i = 0;
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while (!sumhist[i])
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++i;
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if (total == sumhist[i])
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{
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scale = 1;
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for (int j = 0; j < BINS; ++j)
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sumhist[i] = i;
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}
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else
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{
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scale = 255.f / (total - sumhist[i]);
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for (sumhist[i++] = 0; i < BINS; i++)
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{
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sum += sumhist[i];
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sumhist[i] = sum;
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}
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}
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}
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barrier(CLK_LOCAL_MEM_FENCE);
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#pragma unroll
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for (int i = lid; i < BINS; i += WGS)
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dst[i]= convert_uchar_sat_rte(convert_float(sumhist[i]) * scale);
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}
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@ -184,7 +184,7 @@ OCL_TEST_P(EqualizeHist, Mat)
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OCL_OFF(cv::equalizeHist(src_roi, dst_roi));
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OCL_ON(cv::equalizeHist(usrc_roi, udst_roi));
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Near(1.1);
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Near(1);
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}
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}
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destroyWindow("equalized gray");
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#endif
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ts->set_failed_test_info(cvtest::TS::OK);
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(void)uresult.getMat(ACCESS_READ);
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}
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};
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