 |
OpenCV
2.4.13.3
Open Source Computer Vision
|
|
|
OpenCV
2.4.13.3
Open Source Computer Vision
|
|
This is the complete list of members for cv::EM, including all inherited members.
| _create(const string &name) | cv::Algorithm | static |
| Algorithm() | cv::Algorithm | |
| clear() | cv::EM | virtual |
| clusterTrainSamples() | cv::EM | protected |
| computeLogWeightDivDet() | cv::EM | protected |
| computeProbabilities(const Mat &sample, Mat *probs) const | cv::EM | protected |
| Constructor typedef | cv::Algorithm | |
| COV_MAT_DEFAULT enum value | cv::EM | |
| COV_MAT_DIAGONAL enum value | cv::EM | |
| COV_MAT_GENERIC enum value | cv::EM | |
| COV_MAT_SPHERICAL enum value | cv::EM | |
| covMatType | cv::EM | protected |
| covs | cv::EM | protected |
| covsEigenValues | cv::EM | protected |
| covsRotateMats | cv::EM | protected |
| create(const string &name) | cv::Algorithm | inlinestatic |
| decomposeCovs() | cv::EM | protected |
| DEFAULT_MAX_ITERS enum value | cv::EM | |
| DEFAULT_NCLUSTERS enum value | cv::EM | |
| doTrain(int startStep, OutputArray logLikelihoods, OutputArray labels, OutputArray probs) | cv::EM | protected |
| EM(int nclusters=EM::DEFAULT_NCLUSTERS, int covMatType=EM::COV_MAT_DIAGONAL, const TermCriteria &termCrit=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, EM::DEFAULT_MAX_ITERS, FLT_EPSILON)) | cv::EM | |
| epsilon | cv::EM | protected |
| eStep() | cv::EM | protectedvirtual |
| get(const string &name) const | cv::Algorithm | inline |
| get(const char *name) const | cv::Algorithm | inline |
| getAlgorithm(const string &name) const | cv::Algorithm | |
| getBool(const string &name) const | cv::Algorithm | |
| getDouble(const string &name) const | cv::Algorithm | |
| getInt(const string &name) const | cv::Algorithm | |
| getList(CV_OUT vector< string > &algorithms) | cv::Algorithm | static |
| getMat(const string &name) const | cv::Algorithm | |
| getMatVector(const string &name) const | cv::Algorithm | |
| getParams(CV_OUT vector< string > &names) const | cv::Algorithm | |
| getString(const string &name) const | cv::Algorithm | |
| Getter typedef | cv::Algorithm | |
| info() const | cv::EM | virtual |
| invCovsEigenValues | cv::EM | protected |
| isTrained() const | cv::EM | |
| logWeightDivDet | cv::EM | protected |
| maxIters | cv::EM | protected |
| means | cv::EM | protected |
| mStep() | cv::EM | protectedvirtual |
| name() const | cv::Algorithm | |
| nclusters | cv::EM | protected |
| paramHelp(const string &name) const | cv::Algorithm | |
| paramType(const char *name) const | cv::Algorithm | |
| paramType(const string &name) const | cv::Algorithm | |
| predict(InputArray sample, OutputArray probs=noArray()) const | cv::EM | |
| read(const FileNode &fn) | cv::EM | virtual |
| set(const string &name, int value) | cv::Algorithm | |
| set(const string &name, double value) | cv::Algorithm | |
| set(const string &name, bool value) | cv::Algorithm | |
| set(const string &name, const string &value) | cv::Algorithm | |
| set(const string &name, const Mat &value) | cv::Algorithm | |
| set(const string &name, const vector< Mat > &value) | cv::Algorithm | |
| set(const string &name, const Ptr< Algorithm > &value) | cv::Algorithm | |
| set(const string &name, const Ptr< _Tp > &value) | cv::Algorithm | inline |
| set(const char *name, int value) | cv::Algorithm | |
| set(const char *name, double value) | cv::Algorithm | |
| set(const char *name, bool value) | cv::Algorithm | |
| set(const char *name, const string &value) | cv::Algorithm | |
| set(const char *name, const Mat &value) | cv::Algorithm | |
| set(const char *name, const vector< Mat > &value) | cv::Algorithm | |
| set(const char *name, const Ptr< Algorithm > &value) | cv::Algorithm | |
| set(const char *name, const Ptr< _Tp > &value) | cv::Algorithm | inline |
| setAlgorithm(const string &name, const Ptr< Algorithm > &value) | cv::Algorithm | |
| setAlgorithm(const string &name, const Ptr< _Tp > &value) | cv::Algorithm | inline |
| setAlgorithm(const char *name, const Ptr< Algorithm > &value) | cv::Algorithm | |
| setAlgorithm(const char *name, const Ptr< _Tp > &value) | cv::Algorithm | inline |
| setBool(const string &name, bool value) | cv::Algorithm | |
| setBool(const char *name, bool value) | cv::Algorithm | |
| setDouble(const string &name, double value) | cv::Algorithm | |
| setDouble(const char *name, double value) | cv::Algorithm | |
| setInt(const string &name, int value) | cv::Algorithm | |
| setInt(const char *name, int value) | cv::Algorithm | |
| setMat(const string &name, const Mat &value) | cv::Algorithm | |
| setMat(const char *name, const Mat &value) | cv::Algorithm | |
| setMatVector(const string &name, const vector< Mat > &value) | cv::Algorithm | |
| setMatVector(const char *name, const vector< Mat > &value) | cv::Algorithm | |
| setString(const string &name, const string &value) | cv::Algorithm | |
| setString(const char *name, const string &value) | cv::Algorithm | |
| Setter typedef | cv::Algorithm | |
| setTrainData(int startStep, const Mat &samples, const Mat *probs0, const Mat *means0, const vector< Mat > *covs0, const Mat *weights0) | cv::EM | protectedvirtual |
| START_AUTO_STEP enum value | cv::EM | |
| START_E_STEP enum value | cv::EM | |
| START_M_STEP enum value | cv::EM | |
| train(InputArray samples, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray()) | cv::EM | virtual |
| trainE(InputArray samples, InputArray means0, InputArray covs0=noArray(), InputArray weights0=noArray(), OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray()) | cv::EM | virtual |
| trainLabels | cv::EM | protected |
| trainLogLikelihoods | cv::EM | protected |
| trainM(InputArray samples, InputArray probs0, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray()) | cv::EM | virtual |
| trainProbs | cv::EM | protected |
| trainSamples | cv::EM | protected |
| weights | cv::EM | protected |
| write(FileStorage &fs) const | cv::Algorithm | virtual |
| ~Algorithm() | cv::Algorithm | virtual |
| ~EM() | cv::EM | virtual |
1.8.12