virtual CvSVMParams get_params() const { return params; };
CV_WRAP virtual void clear();
+ // return a single vector for HOG detector.
+ virtual void get_svm_detector( std::vector< float > & detector ) const;
+
static CvParamGrid get_default_grid( int param_id );
virtual void write( CvFileStorage* storage, const char* name ) const;
return sv && (unsigned)i < (unsigned)sv_total ? sv[i] : 0;
}
+void CvSVM::get_svm_detector( std::vector< float > & detector ) const
+{
+ CV_Assert( var_all > 0 &&
+ sv_total > 0 &&
+ sv != 0 &&
+ decision_func != 0 &&
+ decision_func->alpha != 0 &&
+ decision_func->sv_count == sv_total );
+ float svi = 0.f;
+
+ detector.clear(); //clear stuff in vector.
+ detector.reserve( var_all + 1 ); //reserve place for memory efficiency.
+
+ /**
+ * detector^i = \sum_j support_vector_j^i * \alpha_j
+ * detector^dim = -\rho
+ */
+ for( int i = 0 ; i < var_all ; ++i )
+ {
+ svi = 0.f;
+ for( int j = 0 ; j < sv_total ; ++j )
+ {
+ if( decision_func->sv_index != NULL ) // sometime the sv_index isn't store on YML/XML.
+ svi += (float)( sv[decision_func->sv_index[j]][i] * decision_func->alpha[ j ] );
+ else
+ svi += (float)( sv[j][i] * decision_func->alpha[ j ] );
+ }
+ detector.push_back( svi );
+ }
+ detector.push_back( -decision_func->rho );
+}
bool CvSVM::set_params( const CvSVMParams& _params )
{