| __fromPtr__(IntPtr addr) | OpenCVForUnity.MlModule.EM | static |
| calcError(TrainData data, bool test, Mat resp) | OpenCVForUnity.MlModule.StatModel | |
| clear() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| COMPRESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| COV_MAT_DEFAULT | OpenCVForUnity.MlModule.EM | static |
| COV_MAT_DIAGONAL | OpenCVForUnity.MlModule.EM | static |
| COV_MAT_GENERIC | OpenCVForUnity.MlModule.EM | static |
| COV_MAT_SPHERICAL | OpenCVForUnity.MlModule.EM | static |
| create() | OpenCVForUnity.MlModule.EM | static |
| DEFAULT_MAX_ITERS | OpenCVForUnity.MlModule.EM | static |
| DEFAULT_NCLUSTERS | OpenCVForUnity.MlModule.EM | static |
| DisposableObject() | OpenCVForUnity.DisposableObject | protected |
| DisposableObject(bool isEnabledDispose) | OpenCVForUnity.DisposableObject | protected |
| DisposableOpenCVObject() | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(IntPtr ptr) | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(bool isEnabledDispose) | OpenCVForUnity.DisposableOpenCVObject | protected |
| DisposableOpenCVObject(IntPtr ptr, bool isEnabledDispose) | OpenCVForUnity.DisposableOpenCVObject | protected |
| Dispose(bool disposing) | OpenCVForUnity.MlModule.EM | protectedvirtual |
| OpenCVForUnity::DisposableObject.Dispose() | OpenCVForUnity.DisposableObject | |
| empty() | OpenCVForUnity.MlModule.StatModel | virtual |
| getClustersNumber() | OpenCVForUnity.MlModule.EM | |
| getCovarianceMatrixType() | OpenCVForUnity.MlModule.EM | |
| getCovs(List< Mat > covs) | OpenCVForUnity.MlModule.EM | |
| getDefaultName() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| getMeans() | OpenCVForUnity.MlModule.EM | |
| getNativeObjAddr() | OpenCVForUnity.CoreModule.Algorithm | |
| getTermCriteria() | OpenCVForUnity.MlModule.EM | |
| getTermCriteriaAsValueTuple() | OpenCVForUnity.MlModule.EM | |
| getTermCriteriaAsVec3d() | OpenCVForUnity.MlModule.EM | |
| getVarCount() | OpenCVForUnity.MlModule.StatModel | |
| getWeights() | OpenCVForUnity.MlModule.EM | |
| isClassifier() | OpenCVForUnity.MlModule.StatModel | |
| IsDisposed | OpenCVForUnity.DisposableObject | |
| IsEnabledDispose | OpenCVForUnity.DisposableObject | |
| isTrained() | OpenCVForUnity.MlModule.StatModel | |
| load(string filepath, string nodeName) | OpenCVForUnity.MlModule.EM | static |
| load(string filepath) | OpenCVForUnity.MlModule.EM | static |
| maxCount | OpenCVForUnity.MlModule.EM | |
| predict(Mat samples, Mat results, int flags) | OpenCVForUnity.MlModule.EM | virtual |
| predict(Mat samples, Mat results) | OpenCVForUnity.MlModule.EM | virtual |
| predict(Mat samples) | OpenCVForUnity.MlModule.EM | virtual |
| predict2(Mat sample, Mat probs) | OpenCVForUnity.MlModule.EM | |
| PREPROCESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| RAW_OUTPUT | OpenCVForUnity.MlModule.StatModel | static |
| save(string filename) | OpenCVForUnity.CoreModule.Algorithm | |
| setClustersNumber(int val) | OpenCVForUnity.MlModule.EM | |
| setCovarianceMatrixType(int val) | OpenCVForUnity.MlModule.EM | |
| setTermCriteria(TermCriteria val) | OpenCVForUnity.MlModule.EM | |
| setTermCriteria(in Vec3d val) | OpenCVForUnity.MlModule.EM | |
| setTermCriteria(in(double type, double maxCount, double epsilon) val) | OpenCVForUnity.MlModule.EM | |
| START_AUTO_STEP | OpenCVForUnity.MlModule.EM | static |
| START_E_STEP | OpenCVForUnity.MlModule.EM | static |
| START_M_STEP | OpenCVForUnity.MlModule.EM | static |
| ThrowIfDisposed() | OpenCVForUnity.DisposableObject | |
| ThrowIfNullIntPtr(IntPtr ptr) | OpenCVForUnity.DisposableObject | static |
| train(TrainData trainData, int flags) | OpenCVForUnity.MlModule.StatModel | |
| train(TrainData trainData) | OpenCVForUnity.MlModule.StatModel | |
| train(Mat samples, int layout, Mat responses) | OpenCVForUnity.MlModule.StatModel | |
| trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels, Mat probs) | OpenCVForUnity.MlModule.EM | |
| trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels) | OpenCVForUnity.MlModule.EM | |
| trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods) | OpenCVForUnity.MlModule.EM | |
| trainE(Mat samples, Mat means0, Mat covs0, Mat weights0) | OpenCVForUnity.MlModule.EM | |
| trainE(Mat samples, Mat means0, Mat covs0) | OpenCVForUnity.MlModule.EM | |
| trainE(Mat samples, Mat means0) | OpenCVForUnity.MlModule.EM | |
| trainEM(Mat samples, Mat logLikelihoods, Mat labels, Mat probs) | OpenCVForUnity.MlModule.EM | |
| trainEM(Mat samples, Mat logLikelihoods, Mat labels) | OpenCVForUnity.MlModule.EM | |
| trainEM(Mat samples, Mat logLikelihoods) | OpenCVForUnity.MlModule.EM | |
| trainEM(Mat samples) | OpenCVForUnity.MlModule.EM | |
| trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels, Mat probs) | OpenCVForUnity.MlModule.EM | |
| trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels) | OpenCVForUnity.MlModule.EM | |
| trainM(Mat samples, Mat probs0, Mat logLikelihoods) | OpenCVForUnity.MlModule.EM | |
| trainM(Mat samples, Mat probs0) | OpenCVForUnity.MlModule.EM | |
| type | OpenCVForUnity.MlModule.EM | |
| UPDATE_MODEL | OpenCVForUnity.MlModule.StatModel | static |
1.12.0