| /external/opencv/cv/src/ |
| cvcalcimagehomography.cpp | 90 cvScale( &rz, &rz, 1./cvNorm(&rz,0,CV_L2) );
94 cvScale( &ry, &ry, 1./cvNorm( &ry, 0, CV_L2 ) );
|
| cvcalibration.cpp | 150 prevErrNorm = cvNorm(err, 0, CV_L2);
159 errNorm = cvNorm( err, 0, CV_L2 );
173 (change = cvNorm(param, prevParam, CV_RELATIVE_L2)) < criteria.epsilon )
239 (change = cvNorm(param, prevParam, CV_RELATIVE_L2)) < criteria.epsilon )
[all...] |
| /external/opencv/cvaux/src/ |
| cvlevmar.cpp | 166 valError = cvNorm(observRes,resFunc);
203 valNewError = cvNorm(observRes,resNewFunc);
212 change = cvNorm(vectX, vectNewX, CV_RELATIVE_L2);
283 e = cvNorm(tmp);
|
| cvlevmarprojbandle.cpp | [all...] |
| /external/opencv/ml/src/ |
| mltestset.cpp | 124 CV_CALL( elem.d = cvNorm( &sample, NULL, CV_L2 ));
|
| mlnbayes.cpp | 179 _var_idx && var_idx && cvNorm(_var_idx,var_idx,CV_C) < DBL_EPSILON) )
184 cvNorm(cls_labels, __cls_labels, CV_C) > DBL_EPSILON )
|
| mlcnn.cpp | 272 loss = (float)cvNorm( dE_dX[n_layers], &etalon );
366 loss = (float)cvNorm( X[n_layers], &etalon );
[all...] |
| mltree.cpp | 155 cvNorm( data->var_type, var_type, CV_C ) < FLT_EPSILON &&
156 cvNorm( data->cat_count, cat_count, CV_C ) < FLT_EPSILON &&
157 cvNorm( data->cat_map, cat_map, CV_C ) < FLT_EPSILON) )
[all...] |
| ml_inner_functions.cpp | 357 norm = (float) cvNorm (&sample, 0, CV_L2);
[all...] |
| /external/opencv/cvaux/include/ |
| cvmat.hpp | 1273 { return cvNorm( this, 0, normType ); }
1292 { return cvNorm( this, &mat, normType ); }
[all...] |
| /external/opencv/cv/include/ |
| cvcompat.h | 354 #define cvNormMask(imgA,imgB,mask,normType) cvNorm(imgA,imgB,normType,mask)
[all...] |
| /external/opencv/cxcore/src/ |
| cxutils.cpp | 785 scale = cvNorm( src, 0, norm_type, mask );
[all...] |
| cxnorm.cpp | [all...] |
| /external/opencv/cxcore/include/ |
| cxcore.h | [all...] |
