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Open Source Computer Vision Library
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326 lines
11 KiB
326 lines
11 KiB
/*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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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<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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