/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // 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" namespace opencv_test { namespace { ////////////////////////////////////////////////////////////////////// // HistEvenC1 DEF_PARAM_TEST(Sz_Depth, cv::Size, MatDepth); PERF_TEST_P(Sz_Depth, HistEvenC1, Combine(CUDA_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_16S))) { const cv::Size size = GET_PARAM(0); const int depth = GET_PARAM(1); cv::Mat src(size, depth); declare.in(src, WARMUP_RNG); if (PERF_RUN_CUDA()) { const cv::cuda::GpuMat d_src(src); cv::cuda::GpuMat dst; TEST_CYCLE() cv::cuda::histEven(d_src, dst, 30, 0, 180); CUDA_SANITY_CHECK(dst); } else { const int hbins = 30; const float hranges[] = {0.0f, 180.0f}; const int histSize[] = {hbins}; const float* ranges[] = {hranges}; const int channels[] = {0}; cv::Mat dst; TEST_CYCLE() cv::calcHist(&src, 1, channels, cv::Mat(), dst, 1, histSize, ranges); CPU_SANITY_CHECK(dst); } } ////////////////////////////////////////////////////////////////////// // HistEvenC4 PERF_TEST_P(Sz_Depth, HistEvenC4, Combine(CUDA_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_16S))) { const cv::Size size = GET_PARAM(0); const int depth = GET_PARAM(1); cv::Mat src(size, CV_MAKE_TYPE(depth, 4)); declare.in(src, WARMUP_RNG); int histSize[] = {30, 30, 30, 30}; int lowerLevel[] = {0, 0, 0, 0}; int upperLevel[] = {180, 180, 180, 180}; if (PERF_RUN_CUDA()) { const cv::cuda::GpuMat d_src(src); cv::cuda::GpuMat d_hist[4]; TEST_CYCLE() cv::cuda::histEven(d_src, d_hist, histSize, lowerLevel, upperLevel); cv::Mat cpu_hist0, cpu_hist1, cpu_hist2, cpu_hist3; d_hist[0].download(cpu_hist0); d_hist[1].download(cpu_hist1); d_hist[2].download(cpu_hist2); d_hist[3].download(cpu_hist3); SANITY_CHECK(cpu_hist0); SANITY_CHECK(cpu_hist1); SANITY_CHECK(cpu_hist2); SANITY_CHECK(cpu_hist3); } else { FAIL_NO_CPU(); } } ////////////////////////////////////////////////////////////////////// // CalcHist PERF_TEST_P(Sz, CalcHist, CUDA_TYPICAL_MAT_SIZES) { const cv::Size size = GetParam(); cv::Mat src(size, CV_8UC1); declare.in(src, WARMUP_RNG); if (PERF_RUN_CUDA()) { const cv::cuda::GpuMat d_src(src); cv::cuda::GpuMat dst; TEST_CYCLE() cv::cuda::calcHist(d_src, dst); CUDA_SANITY_CHECK(dst); } else { FAIL_NO_CPU(); } } ////////////////////////////////////////////////////////////////////// // EqualizeHist PERF_TEST_P(Sz, EqualizeHist, CUDA_TYPICAL_MAT_SIZES) { const cv::Size size = GetParam(); cv::Mat src(size, CV_8UC1); declare.in(src, WARMUP_RNG); if (PERF_RUN_CUDA()) { const cv::cuda::GpuMat d_src(src); cv::cuda::GpuMat dst; TEST_CYCLE() cv::cuda::equalizeHist(d_src, dst); CUDA_SANITY_CHECK(dst); } else { cv::Mat dst; TEST_CYCLE() cv::equalizeHist(src, dst); CPU_SANITY_CHECK(dst); } } ////////////////////////////////////////////////////////////////////// // CLAHE DEF_PARAM_TEST(Sz_ClipLimit, cv::Size, double, MatType); PERF_TEST_P(Sz_ClipLimit, CLAHE, Combine(CUDA_TYPICAL_MAT_SIZES, Values(0.0, 40.0), Values(MatType(CV_8UC1), MatType(CV_16UC1)))) { const cv::Size size = GET_PARAM(0); const double clipLimit = GET_PARAM(1); const int type = GET_PARAM(2); cv::Mat src(size, type); declare.in(src, WARMUP_RNG); if (PERF_RUN_CUDA()) { cv::Ptr clahe = cv::cuda::createCLAHE(clipLimit); cv::cuda::GpuMat d_src(src); cv::cuda::GpuMat dst; TEST_CYCLE() clahe->apply(d_src, dst); CUDA_SANITY_CHECK(dst); } else { cv::Ptr clahe = cv::createCLAHE(clipLimit); cv::Mat dst; TEST_CYCLE() clahe->apply(src, dst); CPU_SANITY_CHECK(dst); } } }} // namespace