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Open Source Computer Vision Library
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119 lines
4.5 KiB
119 lines
4.5 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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// Nathan, liujun@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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#include <iomanip> |
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using namespace cv; |
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using namespace cv::ocl; |
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using namespace cvtest; |
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using namespace testing; |
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using namespace std; |
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#ifdef HAVE_OPENCL |
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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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PARAM_TEST_CASE(Blend, cv::Size, MatType/*, UseRoi*/) |
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{ |
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cv::Size size; |
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int type; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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size = GET_PARAM(0); |
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type = GET_PARAM(1); |
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} |
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}; |
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TEST_P(Blend, Accuracy) |
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{ |
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int depth = CV_MAT_DEPTH(type); |
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cv::Mat img1 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0); |
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cv::Mat img2 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0); |
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cv::Mat weights1 = randomMat(size, CV_32F, 0, 1); |
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cv::Mat weights2 = randomMat(size, CV_32F, 0, 1); |
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cv::ocl::oclMat gimg1(img1), gimg2(img2), gweights1(weights1), gweights2(weights2); |
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cv::ocl::oclMat dst; |
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cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, dst); |
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cv::Mat result; |
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cv::Mat result_gold; |
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dst.download(result); |
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if (depth == CV_8U) |
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blendLinearGold<uchar>(img1, img2, weights1, weights2, result_gold); |
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else |
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blendLinearGold<float>(img1, img2, weights1, weights2, result_gold); |
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EXPECT_MAT_NEAR(result_gold, result, CV_MAT_DEPTH(type) == CV_8U ? 1.f : 1e-5f); |
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} |
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, Blend, Combine( |
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DIFFERENT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC4)) |
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)); |
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#endif |