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OpenCV for Unity 3.0.0
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.12.0/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... | |