| /external/opencv/ml/src/ |
| mlnbayes.cpp | 122 int cls, nsamples = 0, _var_count = 0, _var_all = 0, nclasses = 0; local
145 nclasses = cls_labels->cols;
146 data_size = nclasses*6*mat_size;
151 sum = count + nclasses;
152 productsum = sum + nclasses;
153 avg = productsum + nclasses;
154 inv_eigen_values= avg + nclasses;
155 cov_rotate_mats = inv_eigen_values + nclasses;
157 CV_CALL( c = cvCreateMat( 1, nclasses, CV_64FC1 ));
159 for( cls = 0; cls < nclasses; cls++
291 int i, j, k, cls = -1, _var_count, nclasses; local
403 int nclasses, i; local
461 int nclasses, i; local
[all...] |
| mlrtrees.cpp | 186 nclasses = 0;
320 nclasses = data->get_num_classes();
327 CV_CALL(oob_sample_votes = cvCreateMat( nsamples, nclasses, CV_32SC1 ));
544 if( nclasses > 0 ) //classification
547 int* votes = (int*)alloca( sizeof(int)*nclasses );
548 memset( votes, 0, sizeof(*votes)*nclasses );
554 CV_ASSERT( 0 <= class_idx && class_idx < nclasses );
591 cvWriteInt( fs, "nclasses", nclasses );
631 nclasses = cvReadIntByName( fs, fnode, "nclasses", -1 )
[all...] |
| mlcnn.cpp | 330 int nclasses, i;
338 nclasses = cnn_model->cls_labels->cols;
345 cvPreparePredictData( _image, img_size, 0, nclasses, probs, &img_data );
364 for( i = 0; i < nclasses; i++, etalon.data.fl += cnn_model->etalons->cols )
[all...] |
| /external/opencv/ml/include/ |
| ml.h | 1004 int nclasses; member in class:CvRTrees
[all...] |
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/pydoc_data/ |
| topics.py | [all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/pydoc_data/ |
| topics.py | [all...] |
