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121 lines
4.6 KiB
C++
121 lines
4.6 KiB
C++
/*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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namespace opencv_test { namespace {
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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, 1);
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EXPECT_MAT_NEAR(gray_gold, dgray, 1);
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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::fastNlMeansDenoising(GpuMat(gray), dgray, 20);
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cv::cuda::fastNlMeansDenoisingColored(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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}} // namespace
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#endif // HAVE_CUDA
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