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@ -719,6 +719,15 @@ public: |
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Use StatModel::train to train the model. Since %SVM has several parameters, you may want to |
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find the best parameters for your problem, it can be done with SVM::trainAuto. */ |
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CV_WRAP static Ptr<SVM> create(); |
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/** @brief Loads and creates a serialized svm from a file
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* |
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* Use SVM::save to serialize and store an SVM to disk. |
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* Load the SVM from this file again, by calling this function with the path to the file. |
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* |
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* @param filepath path to serialized svm |
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*/ |
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CV_WRAP static Ptr<SVM> load(const String& filepath); |
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}; |
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/****************************************************************************************\
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@ -1389,6 +1398,16 @@ public: |
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Note that the train method has optional flags: ANN_MLP::TrainFlags. |
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*/ |
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CV_WRAP static Ptr<ANN_MLP> create(); |
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/** @brief Loads and creates a serialized ANN from a file
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* |
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* Use ANN::save to serialize and store an ANN to disk. |
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* Load the ANN from this file again, by calling this function with the path to the file. |
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* |
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* @param filepath path to serialized ANN |
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*/ |
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CV_WRAP static Ptr<ANN_MLP> load(const String& filepath); |
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}; |
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/****************************************************************************************\
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