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add accuracy test CUDA_MultiBandBlender
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/*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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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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 materials provided with the distribution.
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//
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// * The name of Intel Corporation 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 "opencv2/ts/cuda_test.hpp"
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#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)
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using namespace cv;
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using namespace std;
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namespace
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{
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void multiBandBlend(const cv::Mat& im1, const cv::Mat& im2, const cv::Mat& mask1, const cv::Mat& mask2, cv::Mat& result, bool try_cuda)
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{
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detail::MultiBandBlender blender(try_cuda, 5);
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blender.prepare(Rect(0, 0, max(im1.cols, im2.cols), max(im1.rows, im2.rows)));
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blender.feed(im1, mask1, Point(0,0));
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blender.feed(im2, mask2, Point(0,0));
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Mat result_s, result_mask;
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blender.blend(result_s, result_mask);
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result_s.convertTo(result, CV_8U);
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}
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}
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TEST(CUDA_MultiBandBlender, Accuracy)
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{
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Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.png");
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Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");
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ASSERT_EQ(image1.rows, image2.rows); ASSERT_EQ(image1.cols, image2.cols);
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Mat image1s, image2s;
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image1.convertTo(image1s, CV_16S);
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image2.convertTo(image2s, CV_16S);
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Mat mask1(image1s.size(), CV_8U);
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mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);
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mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);
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Mat mask2(image2s.size(), CV_8U);
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mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);
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mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);
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cv::Mat result;
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multiBandBlend(image1s, image2s, mask1, mask2, result, false);
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cv::Mat result_cuda;
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multiBandBlend(image1s, image2s, mask1, mask2, result_cuda, true);
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EXPECT_MAT_NEAR(result, result_cuda, 3);
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}
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#endif

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