Add method in StatModel class, to load from String
Added a method "loadFromString" which is based on the "load" one. It allow to directly pass the XML string which can be usefull and faster when you have a huge file in a variable.
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@ -827,6 +827,22 @@ public:
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return model->isTrained() ? model : Ptr<_Tp>();
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return model->isTrained() ? model : Ptr<_Tp>();
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}
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}
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/** @brief Loads model from an XML String
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This is static template method of StatModel. It's usage is following (in the case of SVM): :
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Ptr<SVM> svm = StatModel::loadFromString<SVM>(myXMLStringModel);
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@param strModel The string variable containing the model (in an XML format) you want to load.
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*/
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template<typename _Tp> static Ptr<_Tp> loadFromString(const String& strModel)
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{
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FileStorage fs(strModel, FileStorage::READ + FileStorage::MEMORY + FileStorage::FORMAT_XML);
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Ptr<_Tp> model = _Tp::create();
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model->read(fs.getFirstTopLevelNode());
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return model->isTrained() ? model : Ptr<_Tp>();
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}
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template<typename _Tp> static Ptr<_Tp> train(const Ptr<TrainData>& data, const typename _Tp::Params& p, int flags=0)
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template<typename _Tp> static Ptr<_Tp> train(const Ptr<TrainData>& data, const typename _Tp::Params& p, int flags=0)
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{
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{
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Ptr<_Tp> model = _Tp::create(p);
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Ptr<_Tp> model = _Tp::create(p);
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@ -1511,6 +1527,7 @@ public:
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};
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};
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/** @brief The class represents a decision tree node. It has public members:
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/** @brief The class represents a decision tree node. It has public members:
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- member double value
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- member double value
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Value at the node: a class label in case of classification or estimated function value in case
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Value at the node: a class label in case of classification or estimated function value in case
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of regression.
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of regression.
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