perf_match_template.cpp 4.8 KB

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  1. /*M///////////////////////////////////////////////////////////////////////////////////////
  2. //
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  7. // copy or use the software.
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  10. // License Agreement
  11. // For Open Source Computer Vision Library
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  13. // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
  14. // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
  15. // Third party copyrights are property of their respective owners.
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  41. //M*/
  42. #include "perf_precomp.hpp"
  43. namespace opencv_test { namespace {
  44. ////////////////////////////////////////////////////////////////////////////////
  45. // MatchTemplate8U
  46. CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
  47. DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
  48. PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
  49. Combine(CUDA_TYPICAL_MAT_SIZES,
  50. Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
  51. CUDA_CHANNELS_1_3_4,
  52. TemplateMethod::all()))
  53. {
  54. declare.time(300.0);
  55. const cv::Size size = GET_PARAM(0);
  56. const cv::Size templ_size = GET_PARAM(1);
  57. const int cn = GET_PARAM(2);
  58. const int method = GET_PARAM(3);
  59. cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
  60. cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
  61. declare.in(image, templ, WARMUP_RNG);
  62. if (PERF_RUN_CUDA())
  63. {
  64. const cv::cuda::GpuMat d_image(image);
  65. const cv::cuda::GpuMat d_templ(templ);
  66. cv::cuda::GpuMat dst;
  67. cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
  68. TEST_CYCLE() alg->match(d_image, d_templ, dst);
  69. CUDA_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
  70. }
  71. else
  72. {
  73. cv::Mat dst;
  74. TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
  75. CPU_SANITY_CHECK(dst);
  76. }
  77. }
  78. ////////////////////////////////////////////////////////////////////////////////
  79. // MatchTemplate32F
  80. PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
  81. Combine(CUDA_TYPICAL_MAT_SIZES,
  82. Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
  83. CUDA_CHANNELS_1_3_4,
  84. Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
  85. {
  86. declare.time(300.0);
  87. const cv::Size size = GET_PARAM(0);
  88. const cv::Size templ_size = GET_PARAM(1);
  89. const int cn = GET_PARAM(2);
  90. int method = GET_PARAM(3);
  91. cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
  92. cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
  93. declare.in(image, templ, WARMUP_RNG);
  94. if (PERF_RUN_CUDA())
  95. {
  96. const cv::cuda::GpuMat d_image(image);
  97. const cv::cuda::GpuMat d_templ(templ);
  98. cv::cuda::GpuMat dst;
  99. cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
  100. TEST_CYCLE() alg->match(d_image, d_templ, dst);
  101. CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
  102. }
  103. else
  104. {
  105. cv::Mat dst;
  106. TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
  107. CPU_SANITY_CHECK(dst);
  108. }
  109. }
  110. }} // namespace