perf_gftt.cpp 4.7 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116
  1. ///////////////////////////////////////////////////////////////////////////////////////
  2. //
  3. // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
  4. //
  5. // By downloading, copying, installing or using the software you agree to this license.
  6. // If you do not agree to this license, do not download, install,
  7. // copy or use the software.
  8. //
  9. //
  10. // License Agreement
  11. // For Open Source Computer Vision Library
  12. // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
  13. // Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
  14. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
  15. // Third party copyrights are property of their respective owners.
  16. //
  17. //
  18. // Redistribution and use in source and binary forms, with or without modification,
  19. // are permitted provided that the following conditions are met:
  20. //
  21. // * Redistribution's of source code must retain the above copyright notice,
  22. // this list of conditions and the following disclaimer.
  23. //
  24. // * Redistribution's in binary form must reproduce the above copyright notice,
  25. // this list of conditions and the following disclaimer in the documentation
  26. // and/or other materials provided with the distribution.
  27. //
  28. // * The name of the copyright holders may not be used to endorse or promote products
  29. // derived from this software without specific prior written permission.
  30. //
  31. // This software is provided by the copyright holders and contributors "as is" and
  32. // any express or implied warranties, including, but not limited to, the implied
  33. // warranties of merchantability and fitness for a particular purpose are disclaimed.
  34. // In no event shall the Intel Corporation or contributors be liable for any direct,
  35. // indirect, incidental, special, exemplary, or consequential damages
  36. // (including, but not limited to, procurement of substitute goods or services;
  37. // loss of use, data, or profits; or business interruption) however caused
  38. // and on any theory of liability, whether in contract, strict liability,
  39. // or tort (including negligence or otherwise) arising in any way out of
  40. // the use of this software, even if advised of the possibility of such damage.
  41. //
  42. //M*/
  43. #include "../perf_precomp.hpp"
  44. #include "opencv2/ts/ocl_perf.hpp"
  45. #include <sstream>
  46. #ifdef HAVE_OPENCL
  47. namespace opencv_test {
  48. namespace ocl {
  49. //////////////////////////// GoodFeaturesToTrack //////////////////////////
  50. typedef tuple<String, double, bool> GoodFeaturesToTrackParams;
  51. typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
  52. OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
  53. ::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
  54. OCL_PERF_ENUM(0.0, 3.0), Bool()))
  55. {
  56. GoodFeaturesToTrackParams params = GetParam();
  57. const String fileName = get<0>(params);
  58. const double minDistance = get<1>(params), qualityLevel = 0.01;
  59. const bool harrisDetector = get<2>(params);
  60. const int maxCorners = 1000;
  61. Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
  62. ASSERT_FALSE(img.empty()) << "could not load " << fileName;
  63. checkDeviceMaxMemoryAllocSize(img.size(), img.type());
  64. UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
  65. img.copyTo(src);
  66. declare.in(src, WARMUP_READ).out(dst);
  67. OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel,
  68. minDistance, noArray(), 3, 3, harrisDetector, 0.04);
  69. SANITY_CHECK(dst);
  70. }
  71. OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrackWithQuality,
  72. ::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
  73. OCL_PERF_ENUM(3.0), Bool()))
  74. {
  75. GoodFeaturesToTrackParams params = GetParam();
  76. const String fileName = get<0>(params);
  77. const double minDistance = get<1>(params), qualityLevel = 0.01;
  78. const bool harrisDetector = get<2>(params);
  79. const int maxCorners = 1000;
  80. Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
  81. ASSERT_FALSE(img.empty()) << "could not load " << fileName;
  82. checkDeviceMaxMemoryAllocSize(img.size(), img.type());
  83. UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
  84. img.copyTo(src);
  85. std::vector<float> cornersQuality;
  86. declare.in(src, WARMUP_READ).out(dst);
  87. OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel, minDistance,
  88. noArray(), cornersQuality, 3, 3, harrisDetector, 0.04);
  89. SANITY_CHECK(dst);
  90. SANITY_CHECK(cornersQuality, 1e-6);
  91. }
  92. } } // namespace opencv_test::ocl
  93. #endif