120 lines
		
	
	
		
			4.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			120 lines
		
	
	
		
			4.5 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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//    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 "test_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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OCL_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
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