added perf test for cv::Moments
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@ -43,6 +43,7 @@
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// the use of this software, even if advised of the possibility of such damage.
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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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//M*/
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//M*/
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#include "perf_precomp.hpp"
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#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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78
modules/imgproc/perf/opencl/perf_moments.cpp
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78
modules/imgproc/perf/opencl/perf_moments.cpp
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/*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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///////////// Moments ////////////////////////
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typedef tuple<Size, bool> MomentsParams;
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typedef TestBaseWithParam<MomentsParams> MomentsFixture;
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OCL_PERF_TEST_P(MomentsFixture, Moments,
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::testing::Combine(OCL_TEST_SIZES, ::testing::Bool()))
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{
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const MomentsParams params = GetParam();
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const Size srcSize = get<0>(params);
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const bool binaryImage = get<1>(params);
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cv::Moments m;
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UMat src(srcSize, CV_8UC1);
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declare.in(src, WARMUP_RNG);
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OCL_TEST_CYCLE() m = cv::moments(src, binaryImage);
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SANITY_CHECK_MOMENTS(m, 1e-6, ERROR_RELATIVE);
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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@ -43,6 +43,7 @@
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// the use of this software, even if advised of the possibility of such damage.
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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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//M*/
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//M*/
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#include "perf_precomp.hpp"
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#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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@ -164,6 +164,7 @@ class CV_EXPORTS Regression
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{
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{
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public:
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public:
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static Regression& add(TestBase* test, const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& add(TestBase* test, const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& addMoments(TestBase* test, const std::string& name, const cv::Moments & array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& addMatches(TestBase* test, const std::string& name, const std::vector<cv::DMatch>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static Regression& addMatches(TestBase* test, const std::string& name, const std::vector<cv::DMatch>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
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static void Init(const std::string& testSuitName, const std::string& ext = ".xml");
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static void Init(const std::string& testSuitName, const std::string& ext = ".xml");
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@ -201,6 +202,7 @@ private:
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};
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};
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#define SANITY_CHECK(array, ...) ::perf::Regression::add(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK(array, ...) ::perf::Regression::add(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_MOMENTS(array, ...) ::perf::Regression::addMoments(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_KEYPOINTS(array, ...) ::perf::Regression::addKeypoints(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_KEYPOINTS(array, ...) ::perf::Regression::addKeypoints(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_NOTHING() this->setVerified();
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#define SANITY_CHECK_NOTHING() this->setVerified();
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@ -115,6 +115,14 @@ Regression& Regression::add(TestBase* test, const std::string& name, cv::InputAr
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return instance()(name, array, eps, err);
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return instance()(name, array, eps, err);
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}
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}
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Regression& Regression::addMoments(TestBase* test, const std::string& name, const cv::Moments& array, double eps, ERROR_TYPE err)
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{
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int len = (int)sizeof(cv::Moments) / sizeof(double);
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cv::Mat m(1, len, CV_64F, (void*)&array);
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return Regression::add(test, name, m, eps, err);
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}
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Regression& Regression::addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps, ERROR_TYPE err)
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Regression& Regression::addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps, ERROR_TYPE err)
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{
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{
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int len = (int)array.size();
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int len = (int)array.size();
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