/*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 namespace cv; using std::tr1::get; ///////////// blend //////////////////////// template static void blendLinearGold(const Mat &img1, const Mat &img2, const Mat &weights1, const Mat &weights2, Mat &result_gold) { CV_Assert(img1.size() == img2.size() && img1.type() == img2.type()); CV_Assert(weights1.size() == weights2.size() && weights1.size() == img1.size() && weights1.type() == CV_32FC1 && weights2.type() == CV_32FC1); result_gold.create(img1.size(), img1.type()); int cn = img1.channels(); int step1 = img1.cols * img1.channels(); for (int y = 0; y < img1.rows; ++y) { const float * const weights1_row = weights1.ptr(y); const float * const weights2_row = weights2.ptr(y); const T * const img1_row = img1.ptr(y); const T * const img2_row = img2.ptr(y); T * const result_gold_row = result_gold.ptr(y); for (int x = 0; x < step1; ++x) { int x1 = x / cn; float w1 = weights1_row[x1], w2 = weights2_row[x1]; result_gold_row[x] = saturate_cast(((float)img1_row[x] * w1 + (float)img2_row[x] * w2) / (w1 + w2 + 1e-5f)); } } } typedef void (*blendFunction)(const Mat &img1, const Mat &img2, const Mat &weights1, const Mat &weights2, Mat &result_gold); typedef Size_MatType BlendLinearFixture; OCL_PERF_TEST_P(BlendLinearFixture, BlendLinear, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_32FC1, CV_32FC4))) { Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params); const int srcType = get<1>(params); const double eps = CV_MAT_DEPTH(srcType) <= CV_32S ? 1.0 : 0.2; Mat src1(srcSize, srcType), src2(srcSize, srcType), dst(srcSize, srcType); Mat weights1(srcSize, CV_32FC1), weights2(srcSize, CV_32FC1); declare.in(src1, src2, WARMUP_RNG).out(dst); randu(weights1, 0.0f, 1.0f); randu(weights2, 0.0f, 1.0f); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst; ocl::oclMat oclWeights1(weights1), oclWeights2(weights2); OCL_TEST_CYCLE() ocl::blendLinear(oclSrc1, oclSrc2, oclWeights1, oclWeights2, oclDst); oclDst.download(dst); SANITY_CHECK(dst, eps); } else if (RUN_PLAIN_IMPL) { blendFunction funcs[] = { (blendFunction)blendLinearGold, (blendFunction)blendLinearGold }; int funcIdx = CV_MAT_DEPTH(srcType) == CV_8UC1 ? 0 : 1; TEST_CYCLE() (funcs[funcIdx])(src1, src2, weights1, weights2, dst); SANITY_CHECK(dst, eps); } else OCL_PERF_ELSE }