1 // This file is part of OpenCV project. 2 // It is subject to the license terms in the LICENSE file found in the top-level directory 3 // of this distribution and at http://opencv.org/license.html. 4 5 // Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved. 6 // Third party copyrights are property of their respective owners. 7 8 #include "../perf_precomp.hpp" 9 #include "opencv2/ts/ocl_perf.hpp" 10 11 #ifdef HAVE_OPENCL 12 13 namespace cvtest { 14 namespace ocl { 15 16 OCL_PERF_TEST(Photo, DenoisingGrayscale) 17 { 18 Mat _original = imread(getDataPath("cv/denoising/lena_noised_gaussian_sigma=10.png"), IMREAD_GRAYSCALE); 19 ASSERT_FALSE(_original.empty()) << "Could not load input image"; 20 21 UMat result(_original.size(), _original.type()), original; 22 _original.copyTo(original); 23 24 declare.in(original).out(result).iterations(10); 25 26 OCL_TEST_CYCLE() 27 cv::fastNlMeansDenoising(original, result, 10); 28 29 SANITY_CHECK(result, 1); 30 } 31 32 OCL_PERF_TEST(Photo, DenoisingColored) 33 { 34 Mat _original = imread(getDataPath("cv/denoising/lena_noised_gaussian_sigma=10.png")); 35 ASSERT_FALSE(_original.empty()) << "Could not load input image"; 36 37 UMat result(_original.size(), _original.type()), original; 38 _original.copyTo(original); 39 40 declare.in(original).out(result).iterations(10); 41 42 OCL_TEST_CYCLE() 43 cv::fastNlMeansDenoisingColored(original, result, 10, 10); 44 45 SANITY_CHECK(result, 2); 46 } 47 48 OCL_PERF_TEST(Photo, DISABLED_DenoisingGrayscaleMulti) 49 { 50 const int imgs_count = 3; 51 52 vector<UMat> original(imgs_count); 53 Mat tmp; 54 for (int i = 0; i < imgs_count; i++) 55 { 56 string original_path = format("cv/denoising/lena_noised_gaussian_sigma=20_multi_%d.png", i); 57 tmp = imread(getDataPath(original_path), IMREAD_GRAYSCALE); 58 ASSERT_FALSE(tmp.empty()) << "Could not load input image " << original_path; 59 tmp.copyTo(original[i]); 60 declare.in(original[i]); 61 } 62 UMat result(tmp.size(), tmp.type()); 63 declare.out(result).iterations(10); 64 65 OCL_TEST_CYCLE() 66 cv::fastNlMeansDenoisingMulti(original, result, imgs_count / 2, imgs_count, 15); 67 68 SANITY_CHECK(result); 69 } 70 71 OCL_PERF_TEST(Photo, DISABLED_DenoisingColoredMulti) 72 { 73 const int imgs_count = 3; 74 75 vector<UMat> original(imgs_count); 76 Mat tmp; 77 for (int i = 0; i < imgs_count; i++) 78 { 79 string original_path = format("cv/denoising/lena_noised_gaussian_sigma=20_multi_%d.png", i); 80 tmp = imread(getDataPath(original_path), IMREAD_COLOR); 81 ASSERT_FALSE(tmp.empty()) << "Could not load input image " << original_path; 82 83 tmp.copyTo(original[i]); 84 declare.in(original[i]); 85 } 86 UMat result(tmp.size(), tmp.type()); 87 declare.out(result).iterations(10); 88 89 OCL_TEST_CYCLE() 90 cv::fastNlMeansDenoisingColoredMulti(original, result, imgs_count / 2, imgs_count, 10, 15); 91 92 SANITY_CHECK(result); 93 } 94 95 } } // namespace cvtest::ocl 96 97 #endif // HAVE_OPENCL 98
