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Open Source Computer Vision Library
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120 lines
4.6 KiB
120 lines
4.6 KiB
/*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) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage 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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// 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 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 "opencv2/photo/cuda.hpp" |
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#include "opencv2/ts/cuda_test.hpp" |
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#include "opencv2/opencv_modules.hpp" |
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#include "cvconfig.h" |
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#if defined (HAVE_CUDA) && defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAIMGPROC) |
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using namespace cvtest; |
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//////////////////////////////////////////////////////// |
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// Brute Force Non local means |
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TEST(CUDA_BruteForceNonLocalMeans, Regression) |
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{ |
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using cv::cuda::GpuMat; |
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cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR); |
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ASSERT_FALSE(bgr.empty()); |
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cv::resize(bgr, bgr, cv::Size(256, 256)); |
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cv::Mat gray; |
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cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY); |
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GpuMat dbgr, dgray; |
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cv::cuda::nonLocalMeans(GpuMat(bgr), dbgr, 20); |
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cv::cuda::nonLocalMeans(GpuMat(gray), dgray, 20); |
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#if 0 |
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dumpImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr)); |
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dumpImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray)); |
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#endif |
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cv::Mat bgr_gold = readImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR); |
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cv::Mat gray_gold = readImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty()); |
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cv::resize(bgr_gold, bgr_gold, cv::Size(256, 256)); |
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cv::resize(gray_gold, gray_gold, cv::Size(256, 256)); |
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EXPECT_MAT_NEAR(bgr_gold, dbgr, 1e-4); |
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EXPECT_MAT_NEAR(gray_gold, dgray, 1e-4); |
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} |
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//////////////////////////////////////////////////////// |
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// Fast Force Non local means |
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TEST(CUDA_FastNonLocalMeans, Regression) |
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{ |
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using cv::cuda::GpuMat; |
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cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR); |
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ASSERT_FALSE(bgr.empty()); |
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cv::Mat gray; |
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cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY); |
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GpuMat dbgr, dgray; |
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cv::cuda::FastNonLocalMeansDenoising fnlmd; |
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fnlmd.simpleMethod(GpuMat(gray), dgray, 20); |
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fnlmd.labMethod(GpuMat(bgr), dbgr, 20, 10); |
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#if 0 |
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dumpImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr)); |
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dumpImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray)); |
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#endif |
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cv::Mat bgr_gold = readImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR); |
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cv::Mat gray_gold = readImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty()); |
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EXPECT_MAT_NEAR(bgr_gold, dbgr, 1); |
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EXPECT_MAT_NEAR(gray_gold, dgray, 1); |
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} |
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#endif // HAVE_CUDA
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