/*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" using namespace std; using namespace cv; using namespace cv::gpu; TEST(blendLinear, accuracy_on_8U) { Size size(607, 1021); RNG rng(0); for (int cn = 1; cn <= 4; ++cn) { Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false); Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false); Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false); Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false); Mat result_gold(size, CV_MAKE_TYPE(CV_8U, cn)); for (int y = 0; y < size.height; ++y) for (int x = 0; x < size.width * cn; ++x) { float w1 = weights1.at(y, x / cn); float w2 = weights2.at(y, x / cn); result_gold.at(y, x) = static_cast( (img1.at(y, x) * w1 + img2.at(y, x) * w2) / (w1 + w2 + 1e-5f)); } GpuMat d_result; blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result); ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1) << ", cn=" << cn; } } TEST(blendLinear, accuracy_on_32F) { Size size(607, 1021); RNG rng(0); for (int cn = 1; cn <= 4; ++cn) { Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false); Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false); Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false); Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false); Mat result_gold(size, CV_MAKE_TYPE(CV_32F, cn)); for (int y = 0; y < size.height; ++y) for (int x = 0; x < size.width * cn; ++x) { float w1 = weights1.at(y, x / cn); float w2 = weights2.at(y, x / cn); result_gold.at(y, x) = (img1.at(y, x) * w1 + img2.at(y, x) * w2) / (w1 + w2 + 1e-5f); } GpuMat d_result; blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result); ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1e-3) << ", cn=" << cn; } }