| __fromPtr__(IntPtr addr) | OpenCVForUnity.MlModule.ANN_MLP | static |
| ANNEAL | OpenCVForUnity.MlModule.ANN_MLP | static |
| BACKPROP | OpenCVForUnity.MlModule.ANN_MLP | static |
| calcError(TrainData data, bool test, Mat resp) | OpenCVForUnity.MlModule.StatModel | |
| clear() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| COMPRESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| create() | OpenCVForUnity.MlModule.ANN_MLP | 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.ANN_MLP | protectedvirtual |
| OpenCVForUnity::DisposableObject.Dispose() | OpenCVForUnity.DisposableObject | |
| empty() | OpenCVForUnity.MlModule.StatModel | virtual |
| GAUSSIAN | OpenCVForUnity.MlModule.ANN_MLP | static |
| getAnnealCoolingRatio() | OpenCVForUnity.MlModule.ANN_MLP | |
| getAnnealFinalT() | OpenCVForUnity.MlModule.ANN_MLP | |
| getAnnealInitialT() | OpenCVForUnity.MlModule.ANN_MLP | |
| getAnnealItePerStep() | OpenCVForUnity.MlModule.ANN_MLP | |
| getBackpropMomentumScale() | OpenCVForUnity.MlModule.ANN_MLP | |
| getBackpropWeightScale() | OpenCVForUnity.MlModule.ANN_MLP | |
| getDefaultName() | OpenCVForUnity.CoreModule.Algorithm | virtual |
| getLayerSizes() | OpenCVForUnity.MlModule.ANN_MLP | |
| getNativeObjAddr() | OpenCVForUnity.CoreModule.Algorithm | |
| getRpropDW0() | OpenCVForUnity.MlModule.ANN_MLP | |
| getRpropDWMax() | OpenCVForUnity.MlModule.ANN_MLP | |
| getRpropDWMin() | OpenCVForUnity.MlModule.ANN_MLP | |
| getRpropDWMinus() | OpenCVForUnity.MlModule.ANN_MLP | |
| getRpropDWPlus() | OpenCVForUnity.MlModule.ANN_MLP | |
| getTermCriteria() | OpenCVForUnity.MlModule.ANN_MLP | |
| getTermCriteriaAsValueTuple() | OpenCVForUnity.MlModule.ANN_MLP | |
| getTermCriteriaAsVec3d() | OpenCVForUnity.MlModule.ANN_MLP | |
| getTrainMethod() | OpenCVForUnity.MlModule.ANN_MLP | |
| getVarCount() | OpenCVForUnity.MlModule.StatModel | |
| getWeights(int layerIdx) | OpenCVForUnity.MlModule.ANN_MLP | |
| IDENTITY | OpenCVForUnity.MlModule.ANN_MLP | static |
| isClassifier() | OpenCVForUnity.MlModule.StatModel | |
| IsDisposed | OpenCVForUnity.DisposableObject | |
| IsEnabledDispose | OpenCVForUnity.DisposableObject | |
| isTrained() | OpenCVForUnity.MlModule.StatModel | |
| LEAKYRELU | OpenCVForUnity.MlModule.ANN_MLP | static |
| load(string filepath) | OpenCVForUnity.MlModule.ANN_MLP | static |
| maxCount | OpenCVForUnity.MlModule.ANN_MLP | |
| NO_INPUT_SCALE | OpenCVForUnity.MlModule.ANN_MLP | static |
| NO_OUTPUT_SCALE | OpenCVForUnity.MlModule.ANN_MLP | static |
| predict(Mat samples, Mat results, int flags) | OpenCVForUnity.MlModule.StatModel | virtual |
| predict(Mat samples, Mat results) | OpenCVForUnity.MlModule.StatModel | virtual |
| predict(Mat samples) | OpenCVForUnity.MlModule.StatModel | virtual |
| PREPROCESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
| RAW_OUTPUT | OpenCVForUnity.MlModule.StatModel | static |
| RELU | OpenCVForUnity.MlModule.ANN_MLP | static |
| RPROP | OpenCVForUnity.MlModule.ANN_MLP | static |
| save(string filename) | OpenCVForUnity.CoreModule.Algorithm | |
| setActivationFunction(int type, double param1, double param2) | OpenCVForUnity.MlModule.ANN_MLP | |
| setActivationFunction(int type, double param1) | OpenCVForUnity.MlModule.ANN_MLP | |
| setActivationFunction(int type) | OpenCVForUnity.MlModule.ANN_MLP | |
| setAnnealCoolingRatio(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setAnnealFinalT(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setAnnealInitialT(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setAnnealItePerStep(int val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setBackpropMomentumScale(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setBackpropWeightScale(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setLayerSizes(Mat _layer_sizes) | OpenCVForUnity.MlModule.ANN_MLP | |
| setRpropDW0(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setRpropDWMax(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setRpropDWMin(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setRpropDWMinus(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setRpropDWPlus(double val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTermCriteria(TermCriteria val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTermCriteria(in Vec3d val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTermCriteria(in(double type, double maxCount, double epsilon) val) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTrainMethod(int method, double param1, double param2) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTrainMethod(int method, double param1) | OpenCVForUnity.MlModule.ANN_MLP | |
| setTrainMethod(int method) | OpenCVForUnity.MlModule.ANN_MLP | |
| SIGMOID_SYM | OpenCVForUnity.MlModule.ANN_MLP | 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 | |
| type | OpenCVForUnity.MlModule.ANN_MLP | |
| UPDATE_MODEL | OpenCVForUnity.MlModule.StatModel | static |
| UPDATE_WEIGHTS | OpenCVForUnity.MlModule.ANN_MLP | static |
1.12.0