testMatFileIO.cpp 2.8 KB

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  1. /**
  2. * @file testMatFileIO.cpp
  3. * @brief
  4. * @author Paul Bodesheim
  5. * @date 06/01/2012 (dd-mm-yyyy)
  6. */
  7. #include <vector>
  8. #include <iostream>
  9. #include <stdlib.h>
  10. #include <stdarg.h>
  11. #include <stdio.h>
  12. #include <string.h>
  13. #include <math.h>
  14. #ifdef NICE_USELIB_MATIO
  15. #include "core/matlabAccess/MatFileIO.h"
  16. using namespace NICE;
  17. #endif
  18. using namespace std;
  19. int main (int argc, char* argv[])
  20. {
  21. #ifdef NICE_USELIB_MATIO
  22. std::string filenameA = "/home/bodesheim/data/2012-01-09-testMatFileIO/sparse3x3matrixA.mat";
  23. // A
  24. MatFileIO matfileIOA = MatFileIO(filenameA,MAT_ACC_RDONLY);
  25. printf("\n%d \n", matfileIOA.getNumberOfVariables());
  26. sparse_t sparseA;
  27. matfileIOA.getSparseVariableViaName(sparseA,"A");
  28. for (uint i = 0; i < sparseA.nzmax; i++) std::cout << ((double*)sparseA.data)[i]<< " ";
  29. std::cerr << std::endl;
  30. std::cerr << "now start reading imagenet-data" << std::endl;
  31. std::string filename = "/home/dbv/bilder/imagenet/devkit-1.0/demo/demo.train.mat";
  32. std::string variable1 = "training_instance_matrix";
  33. std::string variable2 = "training_label_vector";
  34. //
  35. // test matvar functions
  36. //
  37. mat_t * mat;
  38. matvar_t * matvar;
  39. mat = Mat_Open(filename.c_str(),MAT_ACC_RDONLY);
  40. matvar = Mat_VarReadNext(mat);
  41. while (matvar != NULL) {
  42. printf("dimension of variable: %i : ",matvar->rank);
  43. printf("%i ",*(matvar->dims));
  44. for (int i = 2; i<=matvar->rank; i++) {
  45. matvar->dims++;
  46. printf("x %i ",*(matvar->dims));
  47. }
  48. printf("\n");
  49. matvar = Mat_VarReadNext(mat);
  50. };
  51. //
  52. // test class MatFileIO
  53. //
  54. MatFileIO matfileIO = MatFileIO(filename,MAT_ACC_RDONLY);
  55. printf("\nnumber of variables: %d \n", matfileIO.getNumberOfVariables());
  56. sparse_t *sparse;
  57. matfileIO.getSparseVariableViaName(*sparse,variable1);
  58. printf("\nSparse Matrix \n");
  59. for ( int i = 0; i < 5; i++ ) {
  60. for ( int j = sparse->jc[i]; j < sparse->jc[i+1] && j < sparse->ndata && j < sparse->jc[i]+5; j++ ) {
  61. printf("\t\t(%d,%d)\t%f", sparse->ir[j]+1,i+1,((double*)sparse->data)[j]);
  62. }
  63. printf("\n");
  64. }
  65. // int count = 0;
  66. //
  67. // for ( int i = 0; i < sparse->njc-1; i++ ) {
  68. // for ( int j = sparse->jc[i]; j < sparse->jc[i+1] && j < sparse->ndata; j++ )
  69. //
  70. // if (count < 15) {
  71. //
  72. // printf(" (%d,%d) %f\n", sparse->ir[j]+1,i+1, data[j]);
  73. // count++;
  74. // }
  75. // }
  76. NICE::Vector vec;
  77. matfileIO.getVectorViaName(vec,variable2);
  78. std::cout << std::endl << "Vector" << std::endl << std::endl;
  79. for (size_t k = 0; k < 15; k++) {
  80. std::cout << vec[k] << " ";
  81. }
  82. std::cout << "..." <<std::endl;
  83. #else
  84. std::cout << "The MATIO Library has to be installed to run this program." << endl;
  85. #endif
  86. return 0;
  87. }