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183 lines
5.9 KiB
C++
183 lines
5.9 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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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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#ifdef HAVE_CUDA
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////////////////////////////////////////////////////////
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// BilateralFilter
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PARAM_TEST_CASE(BilateralFilter, cv::gpu::DeviceInfo, cv::Size, MatType)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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int type;
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int kernel_size;
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float sigma_color;
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float sigma_spatial;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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type = GET_PARAM(2);
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kernel_size = 5;
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sigma_color = 10.f;
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sigma_spatial = 3.5f;
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(BilateralFilter, Accuracy)
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{
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cv::Mat src = randomMat(size, type);
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src.convertTo(src, type);
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cv::gpu::GpuMat dst;
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cv::gpu::bilateralFilter(loadMat(src), dst, kernel_size, sigma_color, sigma_spatial);
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cv::Mat dst_gold;
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cv::bilateralFilter(src, dst_gold, kernel_size, sigma_color, sigma_spatial);
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EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-3 : 1.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Denoising, BilateralFilter, testing::Combine(
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ALL_DEVICES,
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testing::Values(cv::Size(128, 128), cv::Size(113, 113), cv::Size(639, 481)),
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_32FC1), MatType(CV_32FC3))
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));
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////////////////////////////////////////////////////////
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// Brute Force Non local means
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struct BruteForceNonLocalMeans: testing::TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(BruteForceNonLocalMeans, Regression)
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{
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using cv::gpu::GpuMat;
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cv::Mat bgr = readImage("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_BGR2GRAY);
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GpuMat dbgr, dgray;
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cv::gpu::nonLocalMeans(GpuMat(bgr), dbgr, 20);
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cv::gpu::nonLocalMeans(GpuMat(gray), dgray, 20);
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#if 0
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dumpImage("denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr));
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dumpImage("denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray));
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#endif
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cv::Mat bgr_gold = readImage("denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
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cv::Mat gray_gold = readImage("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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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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INSTANTIATE_TEST_CASE_P(GPU_Denoising, BruteForceNonLocalMeans, ALL_DEVICES);
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////////////////////////////////////////////////////////
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// Fast Force Non local means
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struct FastNonLocalMeans: testing::TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(FastNonLocalMeans, Regression)
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{
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using cv::gpu::GpuMat;
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cv::Mat bgr = readImage("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_BGR2GRAY);
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GpuMat dbgr, dgray;
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cv::gpu::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("denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr));
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dumpImage("denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray));
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#endif
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cv::Mat bgr_gold = readImage("denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
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cv::Mat gray_gold = readImage("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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INSTANTIATE_TEST_CASE_P(GPU_Denoising, FastNonLocalMeans, ALL_DEVICES);
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#endif // HAVE_CUDA
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