/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Fangfang Bai, fangfang@multicorewareinc.com // Jin Ma, jin@multicorewareinc.com // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors as is and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "perf_precomp.hpp" using namespace perf; using std::tr1::tuple; using std::tr1::get; ///////////// MinMax //////////////////////// typedef Size_MatType MinMaxFixture; PERF_TEST_P(MinMaxFixture, MinMax, ::testing::Combine(OCL_TYPICAL_MAT_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1))) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); Mat src(srcSize, type); declare.in(src, WARMUP_RNG); double min_val = std::numeric_limits::max(), max_val = std::numeric_limits::min(); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src); OCL_TEST_CYCLE() cv::ocl::minMax(oclSrc, &min_val, &max_val); ASSERT_GE(max_val, min_val); SANITY_CHECK(min_val); SANITY_CHECK(max_val); } else if (RUN_PLAIN_IMPL) { Point min_loc, max_loc; TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc); ASSERT_GE(max_val, min_val); SANITY_CHECK(min_val); SANITY_CHECK(max_val); } else OCL_PERF_ELSE } ///////////// MinMaxLoc //////////////////////// typedef Size_MatType MinMaxLocFixture; OCL_PERF_TEST_P(MinMaxLocFixture, MinMaxLoc, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1))) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); Mat src(srcSize, type); randu(src, 0, 1); declare.in(src); double min_val = 0.0, max_val = 0.0; Point min_loc, max_loc; if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src); OCL_TEST_CYCLE() cv::ocl::minMaxLoc(oclSrc, &min_val, &max_val, &min_loc, &max_loc); ASSERT_GE(max_val, min_val); SANITY_CHECK(min_val); SANITY_CHECK(max_val); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc); ASSERT_GE(max_val, min_val); SANITY_CHECK(min_val); SANITY_CHECK(max_val); } else OCL_PERF_ELSE } ///////////// Sum //////////////////////// typedef Size_MatType SumFixture; OCL_PERF_TEST_P(SumFixture, Sum, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES)) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); Mat src(srcSize, type); Scalar result; randu(src, 0, 60); declare.in(src); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src); OCL_TEST_CYCLE() result = cv::ocl::sum(oclSrc); SANITY_CHECK(result, 1e-6, ERROR_RELATIVE); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() result = cv::sum(src); SANITY_CHECK(result, 1e-6, ERROR_RELATIVE); } else OCL_PERF_ELSE } ///////////// countNonZero //////////////////////// typedef Size_MatType CountNonZeroFixture; OCL_PERF_TEST_P(CountNonZeroFixture, CountNonZero, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1))) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); Mat src(srcSize, type); int result = 0; randu(src, 0, 256); declare.in(src); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src); OCL_TEST_CYCLE() result = cv::ocl::countNonZero(oclSrc); SANITY_CHECK(result); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() result = cv::countNonZero(src); SANITY_CHECK(result); } else OCL_PERF_ELSE } ///////////// meanStdDev //////////////////////// typedef Size_MatType MeanStdDevFixture; OCL_PERF_TEST_P(MeanStdDevFixture, MeanStdDev, ::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES)) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); Mat src(srcSize, type); Scalar mean, stddev; randu(src, 0, 256); declare.in(src); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src); OCL_TEST_CYCLE() cv::ocl::meanStdDev(oclSrc, mean, stddev); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::meanStdDev(src, mean, stddev); } else OCL_PERF_ELSE SANITY_CHECK_NOTHING(); // SANITY_CHECK(mean, 1e-6, ERROR_RELATIVE); // SANITY_CHECK(stddev, 1e-6, ERROR_RELATIVE); } ///////////// norm//////////////////////// CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2) typedef std::tr1::tuple NormParams; typedef TestBaseWithParam NormFixture; OCL_PERF_TEST_P(NormFixture, Norm, ::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), OCL_TEST_TYPES, NormType::all())) { const NormParams params = GetParam(); const Size srcSize = get<0>(params); const int type = get<1>(params); const int normType = get<2>(params); perf::ERROR_TYPE errorType = type != NORM_INF ? ERROR_RELATIVE : ERROR_ABSOLUTE; double eps = 1e-5, value; Mat src1(srcSize, type), src2(srcSize, type); declare.in(src1, src2, WARMUP_RNG); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc1(src1), oclSrc2(src2); OCL_TEST_CYCLE() value = cv::ocl::norm(oclSrc1, oclSrc2, normType); SANITY_CHECK(value, eps, errorType); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() value = cv::norm(src1, src2, normType); SANITY_CHECK(value, eps, errorType); } else OCL_PERF_ELSE }