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Open Source Computer Vision Library
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122 lines
4.4 KiB
122 lines
4.4 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 oclMaterials 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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using namespace perf; |
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///////////// blend //////////////////////// |
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template <typename T> |
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static void blendLinearGold(const cv::Mat &img1, const cv::Mat &img2, |
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const cv::Mat &weights1, const cv::Mat &weights2, |
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cv::Mat &result_gold) |
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{ |
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result_gold.create(img1.size(), img1.type()); |
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int cn = img1.channels(); |
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for (int y = 0; y < img1.rows; ++y) |
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{ |
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const float *weights1_row = weights1.ptr<float>(y); |
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const float *weights2_row = weights2.ptr<float>(y); |
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const T *img1_row = img1.ptr<T>(y); |
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const T *img2_row = img2.ptr<T>(y); |
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T *result_gold_row = result_gold.ptr<T>(y); |
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for (int x = 0; x < img1.cols * cn; ++x) |
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{ |
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int x1 = x * cn; |
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float w1 = weights1_row[x]; |
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float w2 = weights2_row[x]; |
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result_gold_row[x] = static_cast<T>((img1_row[x1] * w1 |
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+ img2_row[x1] * w2) / (w1 + w2 + 1e-5f)); |
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} |
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} |
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} |
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typedef TestBaseWithParam<Size> blendLinearFixture; |
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PERF_TEST_P(blendLinearFixture, blendLinear, OCL_TYPICAL_MAT_SIZES) |
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{ |
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// getting params |
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const Size srcSize = GetParam(); |
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const int type = CV_8UC1; |
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const std::string impl = getSelectedImpl(); |
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// creating src data |
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Mat src1(srcSize, type), src2(srcSize, CV_8UC1), dst; |
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Mat weights1(srcSize, CV_32FC1), weights2(srcSize, CV_32FC1); |
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declare.in(src1, src2, WARMUP_RNG); |
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randu(weights1, 0.0f, 1.0f); |
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randu(weights2, 0.0f, 1.0f); |
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// select implementation |
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if (impl == "ocl") |
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{ |
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ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst; |
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ocl::oclMat oclWeights1(weights1), oclWeights2(weights2); |
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TEST_CYCLE() cv::ocl::blendLinear(oclSrc1, oclSrc2, oclWeights1, oclWeights2, oclDst); |
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oclDst.download(dst); |
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SANITY_CHECK(dst); |
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} |
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else if (impl == "plain") |
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{ |
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TEST_CYCLE() blendLinearGold<uchar>(src1, src2, weights1, weights2, dst); |
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SANITY_CHECK(dst); |
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} |
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#ifdef HAVE_OPENCV_GPU |
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else if (impl == "gpu") |
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CV_TEST_FAIL_NO_IMPL(); |
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#endif |
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else |
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CV_TEST_FAIL_NO_IMPL(); |
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}
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