718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
121 lines
4.6 KiB
C++
121 lines
4.6 KiB
C++
/*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.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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/photo/cuda.hpp"
|
|
#include "opencv2/ts/cuda_test.hpp"
|
|
|
|
#include "opencv2/opencv_modules.hpp"
|
|
#include "cvconfig.h"
|
|
|
|
#if defined (HAVE_CUDA) && defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAIMGPROC)
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
////////////////////////////////////////////////////////
|
|
// Brute Force Non local means
|
|
|
|
TEST(CUDA_BruteForceNonLocalMeans, Regression)
|
|
{
|
|
using cv::cuda::GpuMat;
|
|
|
|
cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
|
|
ASSERT_FALSE(bgr.empty());
|
|
cv::resize(bgr, bgr, cv::Size(256, 256));
|
|
|
|
cv::Mat gray;
|
|
cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
|
|
|
|
GpuMat dbgr, dgray;
|
|
cv::cuda::nonLocalMeans(GpuMat(bgr), dbgr, 20);
|
|
cv::cuda::nonLocalMeans(GpuMat(gray), dgray, 20);
|
|
|
|
#if 0
|
|
dumpImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr));
|
|
dumpImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray));
|
|
#endif
|
|
|
|
cv::Mat bgr_gold = readImage("../gpu/denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
|
|
cv::Mat gray_gold = readImage("../gpu/denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
|
|
cv::resize(bgr_gold, bgr_gold, cv::Size(256, 256));
|
|
cv::resize(gray_gold, gray_gold, cv::Size(256, 256));
|
|
|
|
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1);
|
|
EXPECT_MAT_NEAR(gray_gold, dgray, 1);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////
|
|
// Fast Force Non local means
|
|
|
|
TEST(CUDA_FastNonLocalMeans, Regression)
|
|
{
|
|
using cv::cuda::GpuMat;
|
|
|
|
cv::Mat bgr = readImage("../gpu/denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
|
|
ASSERT_FALSE(bgr.empty());
|
|
|
|
cv::Mat gray;
|
|
cv::cvtColor(bgr, gray, cv::COLOR_BGR2GRAY);
|
|
|
|
GpuMat dbgr, dgray;
|
|
|
|
cv::cuda::fastNlMeansDenoising(GpuMat(gray), dgray, 20);
|
|
cv::cuda::fastNlMeansDenoisingColored(GpuMat(bgr), dbgr, 20, 10);
|
|
|
|
#if 0
|
|
dumpImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr));
|
|
dumpImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray));
|
|
#endif
|
|
|
|
cv::Mat bgr_gold = readImage("../gpu/denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
|
|
cv::Mat gray_gold = readImage("../gpu/denoising/fnlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
|
|
|
|
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1);
|
|
EXPECT_MAT_NEAR(gray_gold, dgray, 1);
|
|
}
|
|
|
|
}} // namespace
|
|
#endif // HAVE_CUDA
|