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https://github.com/opencv/opencv.git
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09bcc061dd
Fix kernel compilation errors on AMD system Fix licanse information in cl file Support CV_64F destination type Change build options of the kernel Optimize sum of square Remove separate kernel for integral square Increase epsilon for perfomance tests Increase epsilon for perfomance tests Test double support on AMD devices Fix some issues Try to fix problems with AMD device Try to solve problem with AMD device Fix error of destination size in kernel Fix warnings
332 lines
10 KiB
C++
332 lines
10 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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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, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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//
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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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//M*/
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#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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///////////// equalizeHist ////////////////////////
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typedef TestBaseWithParam<Size> EqualizeHistFixture;
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OCL_PERF_TEST_P(EqualizeHistFixture, EqualizeHist, OCL_TEST_SIZES)
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{
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const Size srcSize = GetParam();
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const double eps = 1;
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checkDeviceMaxMemoryAllocSize(srcSize, CV_8UC1);
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UMat src(srcSize, CV_8UC1), dst(srcSize, CV_8UC1);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::equalizeHist(src, dst);
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SANITY_CHECK(dst, eps);
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}
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///////////// calcHist ////////////////////////
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typedef TestBaseWithParam<Size> CalcHistFixture;
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OCL_PERF_TEST_P(CalcHistFixture, CalcHist, OCL_TEST_SIZES)
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{
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const Size srcSize = GetParam();
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const std::vector<int> channels(1, 0);
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std::vector<float> ranges(2);
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std::vector<int> histSize(1, 256);
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ranges[0] = 0;
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ranges[1] = 256;
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checkDeviceMaxMemoryAllocSize(srcSize, CV_8UC1);
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UMat src(srcSize, CV_8UC1), hist(256, 1, CV_32FC1);
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declare.in(src, WARMUP_RNG).out(hist);
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OCL_TEST_CYCLE() cv::calcHist(std::vector<UMat>(1, src), channels, noArray(), hist, histSize, ranges, false);
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SANITY_CHECK(hist);
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}
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///////////// calcHist ////////////////////////
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typedef TestBaseWithParam<Size> CalcBackProjFixture;
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OCL_PERF_TEST_P(CalcBackProjFixture, CalcBackProj, OCL_TEST_SIZES)
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{
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const Size srcSize = GetParam();
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const std::vector<int> channels(1, 0);
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std::vector<float> ranges(2);
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std::vector<int> histSize(1, 256);
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ranges[0] = 0;
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ranges[1] = 256;
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checkDeviceMaxMemoryAllocSize(srcSize, CV_8UC1);
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UMat src(srcSize, CV_8UC1), hist(256, 1, CV_32FC1), dst(srcSize, CV_8UC1);
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declare.in(src, WARMUP_RNG).out(hist);
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cv::calcHist(std::vector<UMat>(1, src), channels, noArray(), hist, histSize, ranges, false);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::calcBackProject(std::vector<UMat>(1,src), channels, hist, dst, ranges, 1);
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SANITY_CHECK_NOTHING();
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}
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/////////// CopyMakeBorder //////////////////////
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CV_ENUM(Border, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT, BORDER_WRAP, BORDER_REFLECT_101)
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typedef tuple<Size, MatType, Border> CopyMakeBorderParamType;
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typedef TestBaseWithParam<CopyMakeBorderParamType> CopyMakeBorderFixture;
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OCL_PERF_TEST_P(CopyMakeBorderFixture, CopyMakeBorder,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, Border::all()))
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{
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const CopyMakeBorderParamType params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), borderType = get<2>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst;
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const Size dstSize = srcSize + Size(12, 12);
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dst.create(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::copyMakeBorder(src, dst, 7, 5, 5, 7, borderType, cv::Scalar(1.0));
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SANITY_CHECK(dst);
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}
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///////////// CornerMinEigenVal ////////////////////////
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typedef Size_MatType CornerMinEigenValFixture;
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OCL_PERF_TEST_P(CornerMinEigenValFixture, CornerMinEigenVal,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), borderType = BORDER_REFLECT;
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const int blockSize = 7, apertureSize = 1 + 2 * 3;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, CV_32FC1);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::cornerMinEigenVal(src, dst, blockSize, apertureSize, borderType);
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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}
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///////////// CornerHarris ////////////////////////
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typedef Size_MatType CornerHarrisFixture;
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OCL_PERF_TEST_P(CornerHarrisFixture, CornerHarris,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), borderType = BORDER_REFLECT;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, CV_32FC1);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::cornerHarris(src, dst, 5, 7, 0.1, borderType);
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SANITY_CHECK(dst, 5e-6, ERROR_RELATIVE);
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}
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///////////// PreCornerDetect ////////////////////////
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typedef Size_MatType PreCornerDetectFixture;
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OCL_PERF_TEST_P(PreCornerDetectFixture, PreCornerDetect,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), borderType = BORDER_REFLECT;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, CV_32FC1);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::preCornerDetect(src, dst, 3, borderType);
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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}
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///////////// Integral ////////////////////////
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typedef tuple<Size, MatDepth> IntegralParams;
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typedef TestBaseWithParam<IntegralParams> IntegralFixture;
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OCL_PERF_TEST_P(IntegralFixture, Integral1, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_32S, CV_32F)))
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{
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const IntegralParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int ddepth = get<1>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, ddepth);
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UMat src(srcSize, CV_8UC1), dst(srcSize + Size(1, 1), ddepth);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::integral(src, dst, ddepth);
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SANITY_CHECK(dst, 2e-6, ERROR_RELATIVE);
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}
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OCL_PERF_TEST_P(IntegralFixture, Integral2, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_32S, CV_32F)))
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{
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const IntegralParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int ddepth = get<1>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, ddepth);
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UMat src(srcSize, CV_8UC1), sum(srcSize + Size(1, 1), ddepth), sqsum(srcSize + Size(1, 1), CV_32F);
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declare.in(src, WARMUP_RNG).out(sum, sqsum);
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OCL_TEST_CYCLE() cv::integral(src, sum, sqsum, ddepth, CV_32F);
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SANITY_CHECK(sum, 2e-4, ERROR_RELATIVE);
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SANITY_CHECK(sqsum, 5e-5, ERROR_RELATIVE);
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}
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///////////// Threshold ////////////////////////
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CV_ENUM(ThreshType, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO_INV)
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typedef tuple<Size, MatType, ThreshType> ThreshParams;
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typedef TestBaseWithParam<ThreshParams> ThreshFixture;
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OCL_PERF_TEST_P(ThreshFixture, Threshold,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES, ThreshType::all()))
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{
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const ThreshParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int srcType = get<1>(params);
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const int threshType = get<2>(params);
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const double maxValue = 220.0, threshold = 50;
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checkDeviceMaxMemoryAllocSize(srcSize, srcType);
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UMat src(srcSize, srcType), dst(srcSize, srcType);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::threshold(src, dst, threshold, maxValue, threshType);
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SANITY_CHECK(dst);
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}
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///////////// CLAHE ////////////////////////
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typedef TestBaseWithParam<Size> CLAHEFixture;
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OCL_PERF_TEST_P(CLAHEFixture, CLAHE, OCL_TEST_SIZES)
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{
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const Size srcSize = GetParam();
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checkDeviceMaxMemoryAllocSize(srcSize, CV_8UC1);
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UMat src(srcSize, CV_8UC1), dst(srcSize, CV_8UC1);
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const double clipLimit = 40.0;
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declare.in(src, WARMUP_RNG).out(dst);
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cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(clipLimit);
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OCL_TEST_CYCLE() clahe->apply(src, dst);
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SANITY_CHECK(dst);
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}
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///////////// Canny ////////////////////////
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typedef tuple<int, bool> CannyParams;
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typedef TestBaseWithParam<CannyParams> CannyFixture;
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OCL_PERF_TEST_P(CannyFixture, Canny, ::testing::Combine(OCL_PERF_ENUM(3, 5), Bool()))
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{
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const CannyParams params = GetParam();
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int apertureSize = get<0>(params);
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bool L2Grad = get<1>(params);
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Mat _img = imread(getDataPath("gpu/stereobm/aloe-L.png"), cv::IMREAD_GRAYSCALE);
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ASSERT_TRUE(!_img.empty()) << "can't open aloe-L.png";
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UMat img;
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_img.copyTo(img);
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UMat edges(img.size(), CV_8UC1);
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declare.in(img, WARMUP_RNG).out(edges);
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OCL_TEST_CYCLE() cv::Canny(img, edges, 50.0, 100.0, apertureSize, L2Grad);
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if (apertureSize == 3)
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SANITY_CHECK(edges);
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else
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SANITY_CHECK_NOTHING();
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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