/*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))); 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