| /external/icu/icu4c/source/test/perf/perldriver/ |
| D | Dataset.pm | 19 _mean => 0.0,
28 $self->{_mean} = $stats->mean();
59 return $self->{_mean} * $self->{_scale};
75 my $minratio = ($self->{_mean} - $self->{_error}) /
76 ($rhs->{_mean} + $rhs->{_error});
77 my $maxratio = ($self->{_mean} + $self->{_error}) /
78 ($rhs->{_mean} - $rhs->{_error});
81 $result->{_mean} = ($minratio + $maxratio) / 2;
82 $result->{_error} = $result->{_mean} - $minratio;
94 $result->{_mean} = $self->{_mean} - $rhs->{_mean};
[all …]
|
| /external/icu/icu4j/perf-tests/perldriver/ |
| D | Dataset.pm | 19 _mean => 0.0,
28 $self->{_mean} = $stats->mean();
59 return $self->{_mean} * $self->{_scale};
75 my $minratio = ($self->{_mean} - $self->{_error}) /
76 ($rhs->{_mean} + $rhs->{_error});
77 my $maxratio = ($self->{_mean} + $self->{_error}) /
78 ($rhs->{_mean} - $rhs->{_error});
81 $result->{_mean} = ($minratio + $maxratio) / 2;
82 $result->{_error} = $result->{_mean} - $minratio;
94 $result->{_mean} = $self->{_mean} - $rhs->{_mean};
[all …]
|
| /external/icu/icu4j/perf-tests/ |
| D | Dataset.pm | 18 _mean => 0.0,
27 $self->{_mean} = $stats->mean();
58 return $self->{_mean} * $self->{_scale};
74 my $minratio = ($self->{_mean} - $self->{_error}) /
75 ($rhs->{_mean} + $rhs->{_error});
76 my $maxratio = ($self->{_mean} + $self->{_error}) /
77 ($rhs->{_mean} - $rhs->{_error});
80 $result->{_mean} = ($minratio + $maxratio) / 2;
81 $result->{_error} = $result->{_mean} - $minratio;
|
| /external/opencv3/modules/core/src/ |
| D | pca.cpp | 55 PCA::PCA(InputArray data, InputArray _mean, int flags, int maxComponents) in PCA() argument
57 operator()(data, _mean, flags, maxComponents); in PCA()
60 PCA::PCA(InputArray data, InputArray _mean, int flags, double retainedVariance) in PCA() argument
62 operator()(data, _mean, flags, retainedVariance); in PCA()
67 Mat data = _data.getMat(), _mean = __mean.getMat(); in operator ()() local
102 if( !_mean.empty() ) in operator ()()
104 CV_Assert( _mean.size() == mean_sz ); in operator ()()
105 _mean.convertTo(mean, ctype); in operator ()()
204 Mat data = _data.getMat(), _mean = __mean.getMat(); in operator ()() local
239 if( !_mean.empty() ) in operator ()()
[all …]
|
| D | matmul.cpp | 2360 void cv::calcCovarMatrix( const Mat* data, int nsamples, Mat& covar, Mat& _mean, int flags, int cty… in calcCovarMatrix() argument
2367 ctype = std::max(std::max(CV_MAT_DEPTH(ctype >= 0 ? ctype : type), _mean.depth()), CV_32F); in calcCovarMatrix()
2371 CV_Assert( _mean.size() == size ); in calcCovarMatrix()
2372 if( _mean.isContinuous() && _mean.type() == ctype ) in calcCovarMatrix()
2373 mean = _mean.reshape(1, 1); in calcCovarMatrix()
2376 _mean.convertTo(mean, ctype); in calcCovarMatrix()
2397 _mean = mean.reshape(1, size.height); in calcCovarMatrix()
2400 void cv::calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mean, int flags, i… in calcCovarMatrix() argument
2412 ctype = std::max(std::max(CV_MAT_DEPTH(ctype >= 0 ? ctype : type), _mean.depth()), CV_32F); in calcCovarMatrix()
2427 CV_Assert( _mean.size() == size ); in calcCovarMatrix()
[all …]
|
| D | lda.cpp | 171 Mat LDA::subspaceProject(InputArray _W, InputArray _mean, InputArray _src) { in subspaceProject() argument
174 Mat mean = _mean.getMat(); in subspaceProject()
208 Mat LDA::subspaceReconstruct(InputArray _W, InputArray _mean, InputArray _src) in subspaceReconstruct() argument
212 Mat mean = _mean.getMat(); in subspaceReconstruct()
|
| D | stat.cpp | 1505 static bool ocl_meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, InputArray _mask ) in ocl_meanStdDev() argument
1597 _OutputArray _dst = j == 0 ? _mean : _sdv; in ocl_meanStdDev()
1621 void cv::meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, InputArray _mask ) in meanStdDev() argument
1624 ocl_meanStdDev(_src, _mean, _sdv, _mask)) in meanStdDev()
1644 if( _mean.needed() ) in meanStdDev()
1646 if( !_mean.fixedSize() ) in meanStdDev()
1647 _mean.create(cn, 1, CV_64F, -1, true); in meanStdDev()
1648 mean = _mean.getMat(); in meanStdDev()
1815 _OutputArray _dst = j == 0 ? _mean : _sdv; in meanStdDev()
3836 cvAvgSdv( const CvArr* imgarr, CvScalar* _mean, CvScalar* _sdv, const void* maskarr ) in cvAvgSdv() argument
[all …]
|
| /external/opencv3/modules/video/src/opencl/ |
| D | bgfg_mog2.cl | 76 __global T_MEAN* _mean = (__global T_MEAN*)(mean);
86 T_MEAN c_mean = _mean[mode_idx];
111 _mean[mode_idx] = _mean[prev_idx];
116 _mean[mode_idx] = mean_new;
178 _mean[mode_idx] = _mean[prev_idx];
183 _mean[mode_idx] = pix;
196 T_MEAN c_mean = _mean[mode_idx];
250 __global const T_MEAN* _mean = (__global const T_MEAN*)(mean);
256 T_MEAN c_mean = _mean[mode_idx];
|
| /external/opencv3/modules/ml/src/ |
| D | inner_functions.cpp | 152 void randMVNormal( InputArray _mean, InputArray _cov, int nsamples, OutputArray _samples ) in randMVNormal() argument
154 Mat mean = _mean.getMat(), cov = _cov.getMat(); in randMVNormal()
|
| /external/opencv/ml/src/ |
| D | mlem.cpp | 982 CvMat* cov = covs[k], _mean, _sample; in run_em() local
986 cvGetRow( means, &_mean, k ); in run_em()
993 cvScale( &_mean, &_mean, inv_sum ); in run_em()
1006 cvMulTransposed( &_sample, covs_item, 1, &_mean ); in run_em()
1012 double val = _sample.data.db[j] - _mean.data.db[j]; in run_em()
|
| /external/opencv/cxcore/src/ |
| D | cxmeansdv.cpp | 676 cvAvgSdv( const CvArr* img, CvScalar* _mean, CvScalar* _sdv, const void* mask ) in CV_DEF_INIT_BIG_FUNC_TAB_2D()
791 if( _mean ) in CV_DEF_INIT_BIG_FUNC_TAB_2D()
792 *_mean = mean; in CV_DEF_INIT_BIG_FUNC_TAB_2D()
|
| /external/opencv3/modules/video/src/ |
| D | bgfg_gaussmix2.cpp | 525 GMM* _gmm, float* _mean, in MOG2Invoker() argument
536 mean0 = _mean; in MOG2Invoker()
|
| /external/opencv/cv/include/ |
| D | cvcompat.h | 142 CvScalar _mean, _sdv; variable
143 cvAvgSdv( image, &_mean, &_sdv, mask );
146 *mean = _mean.val[0];
|