| /external/opencv/ml/src/ |
| mlnbayes.cpp | 47 cls_labels = 0;
61 if( cls_labels )
63 for( int cls = 0; cls < cls_labels->cols; cls++ )
74 cvReleaseMat( &cls_labels );
93 cls_labels = 0;
140 cls_labels = __cls_labels;
145 nclasses = cls_labels->cols;
183 if( cls_labels->cols != __cls_labels->cols ||
184 cvNorm(cls_labels, __cls_labels, CV_C) > DBL_EPSILON )
189 nclasses = cls_labels->cols
[all...] |
| mlcnn.cpp | 144 if( params->etalons->rows != cnn_model->cls_labels->cols ) \
186 &cnn_model->cls_labels, 0 ));
338 nclasses = cnn_model->cls_labels->cols;
391 return ((float) ((CvCNNStatModel*)model)->cls_labels->data.i[best_etal_idx]);
403 CvMat* cls_labels = 0;
419 &cls_labels, 0, 0 ));
424 if( !CV_ARE_SIZES_EQ(cls_labels, cnn_model->cls_labels) )
426 for( i = 0; i < cls_labels->cols; i++ )
428 if( cls_labels->data.i[i] != cnn_model->cls_labels->data.i[i]
[all...] |
| /external/opencv3/modules/ml/src/ |
| nbayes.cpp | 91 cls_labels = __cls_labels;
101 cls_labels.size() != __cls_labels.size() ||
102 norm(cls_labels, __cls_labels, NORM_INF) != 0 )
202 cls_labels = &_cls_labels;
214 const Mat* cls_labels; member in class:cv::ml::NormalBayesClassifierImpl::NBPredictBody
226 int nclasses = (int)cls_labels->total();
288 int ival = rawOutput ? cls : cls_labels->at<int>(cls);
309 int nsamples = samples.rows, nclasses = (int)cls_labels.total();
336 var_idx, cls_labels, results, resultsProb, rawOutput));
343 int nclasses = (int)cls_labels.total(), i
350 fs << "cls_labels" << cls_labels; local
392 fn["cls_labels"] >> cls_labels; local
449 Mat var_idx, cls_labels, c; member in class:cv::ml::NormalBayesClassifierImpl
[all...] |
| /external/opencv/ml/include/ |
| ml.h | 259 CvMat* cls_labels; member in class:CvNormalBayesClassifier
[all...] |
| /external/opencv3/apps/traincascade/ |
| old_ml.hpp | 219 CvMat* cls_labels; member in class:CvNormalBayesClassifier
[all...] |
