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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/ts/cuda_test.hpp"
namespace opencv_test { namespace {
#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)
void multiBandBlend(const cv::Mat& im1, const cv::Mat& im2, const cv::Mat& mask1, const cv::Mat& mask2, cv::Mat& result, bool try_cuda)
{
detail::MultiBandBlender blender(try_cuda, 5);
blender.prepare(Rect(0, 0, max(im1.cols, im2.cols), max(im1.rows, im2.rows)));
// If using cuda try blending multiple times without calling prepare inbetween
for (int i = 0; i < (try_cuda ? 10 : 1); ++i) {
blender.feed(im1, mask1, Point(0, 0));
blender.feed(im2, mask2, Point(0, 0));
Mat result_s, result_mask;
blender.blend(result_s, result_mask);
result_s.convertTo(result, CV_8U);
}
}
TEST(CUDA_MultiBandBlender, Accuracy)
{
Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.png");
Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");
ASSERT_EQ(image1.rows, image2.rows); ASSERT_EQ(image1.cols, image2.cols);
Mat image1s, image2s;
image1.convertTo(image1s, CV_16S);
image2.convertTo(image2s, CV_16S);
Mat mask1(image1s.size(), CV_8U);
mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);
mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);
Mat mask2(image2s.size(), CV_8U);
mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);
mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);
cv::Mat result;
multiBandBlend(image1s, image2s, mask1, mask2, result, false);
cv::Mat result_cuda;
multiBandBlend(image1s, image2s, mask1, mask2, result_cuda, true);
EXPECT_MAT_NEAR(result, result_cuda, 3);
}
#endif
}} // namespace
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