apps/traincascade/traincascade.cpp

   1 #include "cv.h"
   2 #include "cascadeclassifier.h"
   3
   4 using namespace std;
   5
   6 int main( int argc, char* argv[] )
   7 {
   8     CvCascadeClassifier classifier;
   9     String cascadeDirName, vecName, bgName;
  10     int numPos    = 2000;
  11     int numNeg    = 1000;
  12     int numStages = 20;
  13     int precalcValBufSize = 256,
  14         precalcIdxBufSize = 256;
  15     bool baseFormatSave = false;
  16
  17     CvCascadeParams cascadeParams;
  18     CvCascadeBoostParams stageParams;
  19     Ptr<CvFeatureParams> featureParams[] = { Ptr<CvFeatureParams>(new CvHaarFeatureParams),
  20                                              Ptr<CvFeatureParams>(new CvLBPFeatureParams),
  21                                              Ptr<CvFeatureParams>(new CvHOGFeatureParams)
  22                                            };
  23     int fc = sizeof(featureParams)/sizeof(featureParams[0]);
  24     if( argc == 1 )
  25     {
  26         cout << "Usage: " << argv[0] << endl;
  27         cout << "  -data <cascade_dir_name>" << endl;
  28         cout << "  -vec <vec_file_name>" << endl;
  29         cout << "  -bg <background_file_name>" << endl;
  30         cout << "  [-numPos <number_of_positive_samples = " << numPos << ">]" << endl;
  31         cout << "  [-numNeg <number_of_negative_samples = " << numNeg << ">]" << endl;
  32         cout << "  [-numStages <number_of_stages = " << numStages << ">]" << endl;
  33         cout << "  [-precalcValBufSize <precalculated_vals_buffer_size_in_Mb = " << precalcValBufSize << ">]" << endl;
  34         cout << "  [-precalcIdxBufSize <precalculated_idxs_buffer_size_in_Mb = " << precalcIdxBufSize << ">]" << endl;
  35         cout << "  [-baseFormatSave]" << endl;
  36         cascadeParams.printDefaults();
  37         stageParams.printDefaults();
  38         for( int fi = 0; fi < fc; fi++ )
  39             featureParams[fi]->printDefaults();
  40         return 0;
  41     }
  42
  43     for( int i = 1; i < argc; i++ )
  44     {
  45         bool set = false;
  46         if( !strcmp( argv[i], "-data" ) )
  47         {
  48             cascadeDirName = argv[++i];
  49         }
  50         else if( !strcmp( argv[i], "-vec" ) )
  51         {
  52             vecName = argv[++i];
  53         }
  54         else if( !strcmp( argv[i], "-bg" ) )
  55         {
  56             bgName = argv[++i];
  57         }
  58         else if( !strcmp( argv[i], "-numPos" ) )
  59         {
  60             numPos = atoi( argv[++i] );
  61         }
  62         else if( !strcmp( argv[i], "-numNeg" ) )
  63         {
  64             numNeg = atoi( argv[++i] );
  65         }
  66         else if( !strcmp( argv[i], "-numStages" ) )
  67         {
  68             numStages = atoi( argv[++i] );
  69         }
  70         else if( !strcmp( argv[i], "-precalcValBufSize" ) )
  71         {
  72             precalcValBufSize = atoi( argv[++i] );
  73         }
  74         else if( !strcmp( argv[i], "-precalcIdxBufSize" ) )
  75         {
  76             precalcIdxBufSize = atoi( argv[++i] );
  77         }
  78         else if( !strcmp( argv[i], "-baseFormatSave" ) )
  79         {
  80             baseFormatSave = true;
  81         }
  82         else if ( cascadeParams.scanAttr( argv[i], argv[i+1] ) ) { i++; }
  83         else if ( stageParams.scanAttr( argv[i], argv[i+1] ) ) { i++; }
  84         else if ( !set )
  85         {
  86             for( int fi = 0; fi < fc; fi++ )
  87             {
  88                 set = featureParams[fi]->scanAttr(argv[i], argv[i+1]);
  89                 if ( !set )
  90                 {
  91                     i++;
  92                     break;
  93                 }
  94             }
  95         }
  96     }
  97
  98     classifier.train( cascadeDirName,
  99                       vecName,
 100                       bgName,
 101                       numPos, numNeg,
 102                       precalcValBufSize, precalcIdxBufSize,
 103                       numStages,
 104                       cascadeParams,
 105                       *featureParams[cascadeParams.featureType],
 106                       stageParams,
 107                       baseFormatSave );
 108     return 0;
 109 }