__fromPtr__(IntPtr addr) | OpenCVForUnity.MlModule.Boost | 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.Boost | static |
DISCRETE | OpenCVForUnity.MlModule.Boost | 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.Boost | protectedvirtual |
OpenCVForUnity::DisposableObject.Dispose() | OpenCVForUnity.DisposableObject | |
empty() | OpenCVForUnity.MlModule.StatModel | virtual |
GENTLE | OpenCVForUnity.MlModule.Boost | static |
getBoostType() | OpenCVForUnity.MlModule.Boost | |
getCVFolds() | OpenCVForUnity.MlModule.DTrees | |
getDefaultName() | OpenCVForUnity.CoreModule.Algorithm | virtual |
getMaxCategories() | OpenCVForUnity.MlModule.DTrees | |
getMaxDepth() | OpenCVForUnity.MlModule.DTrees | |
getMinSampleCount() | OpenCVForUnity.MlModule.DTrees | |
getNativeObjAddr() | OpenCVForUnity.CoreModule.Algorithm | |
getPriors() | OpenCVForUnity.MlModule.DTrees | |
getRegressionAccuracy() | OpenCVForUnity.MlModule.DTrees | |
getTruncatePrunedTree() | OpenCVForUnity.MlModule.DTrees | |
getUse1SERule() | OpenCVForUnity.MlModule.DTrees | |
getUseSurrogates() | OpenCVForUnity.MlModule.DTrees | |
getVarCount() | OpenCVForUnity.MlModule.StatModel | |
getWeakCount() | OpenCVForUnity.MlModule.Boost | |
getWeightTrimRate() | OpenCVForUnity.MlModule.Boost | |
isClassifier() | OpenCVForUnity.MlModule.StatModel | |
IsDisposed | OpenCVForUnity.DisposableObject | |
IsEnabledDispose | OpenCVForUnity.DisposableObject | |
isTrained() | OpenCVForUnity.MlModule.StatModel | |
load(string filepath, string nodeName) | OpenCVForUnity.MlModule.Boost | static |
load(string filepath) | OpenCVForUnity.MlModule.Boost | static |
LOGIT | OpenCVForUnity.MlModule.Boost | 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 |
PREDICT_AUTO | OpenCVForUnity.MlModule.DTrees | static |
PREDICT_MASK | OpenCVForUnity.MlModule.DTrees | static |
PREDICT_MAX_VOTE | OpenCVForUnity.MlModule.DTrees | static |
PREDICT_SUM | OpenCVForUnity.MlModule.DTrees | static |
PREPROCESSED_INPUT | OpenCVForUnity.MlModule.StatModel | static |
RAW_OUTPUT | OpenCVForUnity.MlModule.StatModel | static |
REAL | OpenCVForUnity.MlModule.Boost | static |
save(string filename) | OpenCVForUnity.CoreModule.Algorithm | |
setBoostType(int val) | OpenCVForUnity.MlModule.Boost | |
setCVFolds(int val) | OpenCVForUnity.MlModule.DTrees | |
setMaxCategories(int val) | OpenCVForUnity.MlModule.DTrees | |
setMaxDepth(int val) | OpenCVForUnity.MlModule.DTrees | |
setMinSampleCount(int val) | OpenCVForUnity.MlModule.DTrees | |
setPriors(Mat val) | OpenCVForUnity.MlModule.DTrees | |
setRegressionAccuracy(float val) | OpenCVForUnity.MlModule.DTrees | |
setTruncatePrunedTree(bool val) | OpenCVForUnity.MlModule.DTrees | |
setUse1SERule(bool val) | OpenCVForUnity.MlModule.DTrees | |
setUseSurrogates(bool val) | OpenCVForUnity.MlModule.DTrees | |
setWeakCount(int val) | OpenCVForUnity.MlModule.Boost | |
setWeightTrimRate(double val) | OpenCVForUnity.MlModule.Boost | |
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 | |
UPDATE_MODEL | OpenCVForUnity.MlModule.StatModel | static |