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https://github.com/opencv/opencv.git
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f3f46096d6
Also bring perf_imgproc CornerMinEigenVal accuracy requirements in line with the test_imgproc accuracy requirements on that test and fix indentation on the latter. Partially addresses issue #9821
337 lines
11 KiB
C++
337 lines
11 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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namespace opencv_test {
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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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#ifdef HAVE_OPENCL
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bool strictCheck = !ocl::useOpenCL() || ocl::Device::getDefault().isIntel();
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#else
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bool strictCheck = true;
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#endif
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// using native_* OpenCL functions on non-intel devices may lose accuracy
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if (strictCheck)
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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else
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SANITY_CHECK(dst, 0.1, 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<Size, int, bool> CannyParams;
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typedef TestBaseWithParam<CannyParams> CannyFixture;
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OCL_PERF_TEST_P(CannyFixture, Canny, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(3, 5), Bool()))
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{
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const CannyParams& params = GetParam();
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cv::Size imgSize = get<0>(params);
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int apertureSize = get<1>(params);
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bool L2Grad = get<2>(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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cv::resize(_img, img, imgSize, 0, 0, INTER_LINEAR_EXACT);
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UMat edges(img.size(), CV_8UC1);
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declare.in(img).out(edges);
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PERF_SAMPLE_BEGIN();
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cv::Canny(img, edges, 50.0, 100.0, apertureSize, L2Grad);
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PERF_SAMPLE_END();
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SANITY_CHECK_NOTHING();
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}
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} } // namespace opencv_test::ocl
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