122 lines
4.7 KiB
C++
122 lines
4.7 KiB
C++
/*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 "precomp.hpp"
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///////////// blend ////////////////////////
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template <typename T>
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void blendLinearGold(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &weights1, const cv::Mat &weights2, 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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float w1 = weights1_row[x / cn];
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float w2 = weights2_row[x / cn];
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result_gold_row[x] = static_cast<T>((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f));
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}
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}
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}
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PERFTEST(blend)
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{
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Mat src1, src2, weights1, weights2, dst, ocl_dst;
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ocl::oclMat d_src1, d_src2, d_weights1, d_weights2, d_dst;
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int all_type[] = {CV_8UC1, CV_8UC4};
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std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
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for (int size = Min_Size; size <= Max_Size; size *= Multiple)
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{
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for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
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{
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SUBTEST << size << 'x' << size << "; " << type_name[j] << " and CV_32FC1";
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gen(src1, size, size, all_type[j], 0, 256);
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gen(src2, size, size, all_type[j], 0, 256);
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gen(weights1, size, size, CV_32FC1, 0, 1);
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gen(weights2, size, size, CV_32FC1, 0, 1);
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blendLinearGold<uchar>(src1, src2, weights1, weights2, dst);
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CPU_ON;
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blendLinearGold<uchar>(src1, src2, weights1, weights2, dst);
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CPU_OFF;
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d_src1.upload(src1);
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d_src2.upload(src2);
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d_weights1.upload(weights1);
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d_weights2.upload(weights2);
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WARMUP_ON;
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ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
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WARMUP_OFF;
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GPU_ON;
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ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
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GPU_OFF;
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GPU_FULL_ON;
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d_src1.upload(src1);
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d_src2.upload(src2);
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d_weights1.upload(weights1);
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d_weights2.upload(weights2);
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ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
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d_dst.download(ocl_dst);
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GPU_FULL_OFF;
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TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 1.f);
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}
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}
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} |