Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
Tetragramm
GitHub Repository: Tetragramm/opencv
 Path: blob/master/modules/photo/perf/opencl/perf_denoising.cpp
16339 views
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 opencv_test {

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 opencv_test::ocl

96


97
#endif // HAVE_OPENCL

98


99