gr_chalearn.cpp 4.1 KB

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  1. /*M///////////////////////////////////////////////////////////////////////////////////////
  2. //
  3. // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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  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.
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  9. //
  10. // License Agreement
  11. // For Open Source Computer Vision Library
  12. //
  13. // Copyright (C) 2014, Itseez Inc, all rights reserved.
  14. // Third party copyrights are property of their respective owners.
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  16. // Redistribution and use in source and binary forms, with or without modification,
  17. // are permitted provided that the following conditions are met:
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  19. // * Redistribution's of source code must retain the above copyright notice,
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  23. // this list of conditions and the following disclaimer in the documentation
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  26. // * The name of the copyright holders may not be used to endorse or promote products
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  38. // the use of this software, even if advised of the possibility of such damage.
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  40. //M*/
  41. #include "opencv2/datasets/gr_chalearn.hpp"
  42. #include <opencv2/core.hpp>
  43. #include <cstdio>
  44. #include <string>
  45. #include <vector>
  46. using namespace std;
  47. using namespace cv;
  48. using namespace cv::datasets;
  49. int main(int argc, char *argv[])
  50. {
  51. const char *keys =
  52. "{ help h usage ? | | show this message }"
  53. "{ path p |true| path to dataset folder }";
  54. CommandLineParser parser(argc, argv, keys);
  55. string path(parser.get<string>("path"));
  56. if (parser.has("help") || path=="true")
  57. {
  58. parser.printMessage();
  59. return -1;
  60. }
  61. Ptr<GR_chalearn> dataset = GR_chalearn::create();
  62. dataset->load(path);
  63. // ***************
  64. // dataset contains information for each sample.
  65. // For example, let output dataset size and first element.
  66. printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
  67. printf("validation size: %u\n", (unsigned int)dataset->getValidation().size());
  68. GR_chalearnObj *example = static_cast<GR_chalearnObj *>(dataset->getTrain()[0].get());
  69. printf("first dataset sample:\n%s\n", example->name.c_str());
  70. printf("color video:\n%s\n", example->nameColor.c_str());
  71. printf("depth video:\n%s\n", example->nameDepth.c_str());
  72. printf("user video:\n%s\n", example->nameUser.c_str());
  73. printf("video:\nnumber of frames: %u\nfps: %u\nmaximum depth: %u\n", example->numFrames, example->fps, example->depth);
  74. for (vector<groundTruth>::iterator it=example->groundTruths.begin(); it!=example->groundTruths.end(); ++it)
  75. {
  76. printf("gestureID: %u, initial frame: %u, last frame: %u\n", (*it).gestureID, (*it).initialFrame, (*it).lastFrame);
  77. }
  78. printf("skeletons number: %u\n", (unsigned int)example->skeletons.size());
  79. skeleton &last = example->skeletons.back();
  80. printf("last skeleton:\n");
  81. for (unsigned int i=0; i<20; ++i)
  82. {
  83. printf("Wx: %f, Wy: %f, Wz: %f, Rx: %f, Ry: %f, Rz: %f, Rw: %f, Px: %f, Py: %f\n",
  84. last.s[i].Wx, last.s[i].Wy, last.s[i].Wz, last.s[i].Rx,
  85. last.s[i].Ry, last.s[i].Rz, last.s[i].Rw, last.s[i].Px, last.s[i].Py);
  86. }
  87. return 0;
  88. }