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Open Source Computer Vision Library
https://opencv.org/
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120 lines
4.1 KiB
120 lines
4.1 KiB
#include "opencv2/core/core.hpp" |
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#include "opencv2/core/internal.hpp" |
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#include "cv.h" |
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#include "cascadeclassifier.h" |
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using namespace std; |
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using namespace cv; |
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int main( int argc, char* argv[] ) |
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{ |
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CvCascadeClassifier classifier; |
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string cascadeDirName, vecName, bgName; |
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int numPos = 2000; |
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int numNeg = 1000; |
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int numStages = 20; |
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int precalcValBufSize = 1024, |
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precalcIdxBufSize = 1024; |
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bool baseFormatSave = false; |
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double acceptanceRatioBreakValue = -1.0; |
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CvCascadeParams cascadeParams; |
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CvCascadeBoostParams stageParams; |
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Ptr<CvFeatureParams> featureParams[] = { Ptr<CvFeatureParams>(new CvHaarFeatureParams), |
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Ptr<CvFeatureParams>(new CvLBPFeatureParams), |
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Ptr<CvFeatureParams>(new CvHOGFeatureParams) |
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}; |
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int fc = sizeof(featureParams)/sizeof(featureParams[0]); |
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if( argc == 1 ) |
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{ |
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cout << "Usage: " << argv[0] << endl; |
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cout << " -data <cascade_dir_name>" << endl; |
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cout << " -vec <vec_file_name>" << endl; |
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cout << " -bg <background_file_name>" << endl; |
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cout << " [-numPos <number_of_positive_samples = " << numPos << ">]" << endl; |
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cout << " [-numNeg <number_of_negative_samples = " << numNeg << ">]" << endl; |
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cout << " [-numStages <number_of_stages = " << numStages << ">]" << endl; |
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cout << " [-precalcValBufSize <precalculated_vals_buffer_size_in_Mb = " << precalcValBufSize << ">]" << endl; |
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cout << " [-precalcIdxBufSize <precalculated_idxs_buffer_size_in_Mb = " << precalcIdxBufSize << ">]" << endl; |
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cout << " [-baseFormatSave]" << endl; |
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cout << " [-acceptanceRatioBreakValue <value> = " << acceptanceRatioBreakValue << ">]" << endl; |
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cascadeParams.printDefaults(); |
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stageParams.printDefaults(); |
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for( int fi = 0; fi < fc; fi++ ) |
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featureParams[fi]->printDefaults(); |
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return 0; |
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} |
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for( int i = 1; i < argc; i++ ) |
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{ |
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bool set = false; |
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if( !strcmp( argv[i], "-data" ) ) |
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{ |
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cascadeDirName = argv[++i]; |
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} |
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else if( !strcmp( argv[i], "-vec" ) ) |
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{ |
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vecName = argv[++i]; |
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} |
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else if( !strcmp( argv[i], "-bg" ) ) |
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{ |
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bgName = argv[++i]; |
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} |
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else if( !strcmp( argv[i], "-numPos" ) ) |
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{ |
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numPos = atoi( argv[++i] ); |
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} |
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else if( !strcmp( argv[i], "-numNeg" ) ) |
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{ |
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numNeg = atoi( argv[++i] ); |
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} |
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else if( !strcmp( argv[i], "-numStages" ) ) |
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{ |
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numStages = atoi( argv[++i] ); |
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} |
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else if( !strcmp( argv[i], "-precalcValBufSize" ) ) |
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{ |
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precalcValBufSize = atoi( argv[++i] ); |
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} |
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else if( !strcmp( argv[i], "-precalcIdxBufSize" ) ) |
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{ |
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precalcIdxBufSize = atoi( argv[++i] ); |
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} |
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else if( !strcmp( argv[i], "-baseFormatSave" ) ) |
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{ |
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baseFormatSave = true; |
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} |
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else if( !strcmp( argv[i], "-acceptanceRatioBreakValue" ) ) |
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{ |
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acceptanceRatioBreakValue = atof(argv[++i]); |
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} |
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else if ( cascadeParams.scanAttr( argv[i], argv[i+1] ) ) { i++; } |
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else if ( stageParams.scanAttr( argv[i], argv[i+1] ) ) { i++; } |
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else if ( !set ) |
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{ |
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for( int fi = 0; fi < fc; fi++ ) |
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{ |
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set = featureParams[fi]->scanAttr(argv[i], argv[i+1]); |
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if ( !set ) |
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{ |
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i++; |
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break; |
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} |
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} |
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} |
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} |
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classifier.train( cascadeDirName, |
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vecName, |
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bgName, |
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numPos, numNeg, |
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precalcValBufSize, precalcIdxBufSize, |
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numStages, |
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cascadeParams, |
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*featureParams[cascadeParams.featureType], |
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stageParams, |
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baseFormatSave, |
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acceptanceRatioBreakValue ); |
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return 0; |
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}
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