OpenCV for Unity 2.6.3
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.10.0/index.html ) for the details of the argument of the method.
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Classes | |
class | ANN_MLP |
Artificial Neural Networks - Multi-Layer Perceptrons. More... | |
class | Boost |
Boosted tree classifier derived from DTrees. More... | |
class | DTrees |
The class represents a single decision tree or a collection of decision trees. More... | |
class | EM |
The class implements the Expectation Maximization algorithm. More... | |
class | KNearest |
The class implements K-Nearest Neighbors model. More... | |
class | LogisticRegression |
Implements Logistic Regression classifier. More... | |
class | Ml |
class | NormalBayesClassifier |
Bayes classifier for normally distributed data. More... | |
class | ParamGrid |
The structure represents the logarithmic grid range of statmodel parameters. More... | |
class | RTrees |
The class implements the random forest predictor. More... | |
class | StatModel |
Base class for statistical models in OpenCV ML. More... | |
class | SVM |
Support Vector Machines. More... | |
class | SVMSGD |
class | TrainData |
Class encapsulating training data. More... | |