270 lines
10 KiB
C++
270 lines
10 KiB
C++
/***********************************************************
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* File generated by the HALCON-Compiler hcomp version 20.11
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* Usage: Interface to C++
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*
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* Software by: MVTec Software GmbH, www.mvtec.com
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***********************************************************/
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#ifndef HCPP_HCLASSTRAINDATA
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#define HCPP_HCLASSTRAINDATA
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namespace HalconCpp
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{
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// Represents an instance of a training data management class.
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class LIntExport HClassTrainData : public HHandle
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{
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public:
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// Create an uninitialized instance
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HClassTrainData():HHandle() {}
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// Copy constructor
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HClassTrainData(const HClassTrainData& source) : HHandle(source) {}
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// Copy constructor
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HClassTrainData(const HHandle& handle);
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bool operator==(const HHandle& obj) const
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{
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return HHandleBase::operator==(obj);
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}
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bool operator!=(const HHandle& obj) const
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{
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return HHandleBase::operator!=(obj);
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}
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protected:
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// Verify matching semantic type ('class_train_data')!
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virtual void AssertType(Hphandle handle) const;
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public:
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// Deep copy of all data represented by this object instance
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HClassTrainData Clone() const;
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/*****************************************************************************
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* Operator-based class constructors
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*****************************************************************************/
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// read_class_train_data: Read the training data for classifiers from a file.
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explicit HClassTrainData(const HString& FileName);
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// read_class_train_data: Read the training data for classifiers from a file.
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explicit HClassTrainData(const char* FileName);
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#ifdef _WIN32
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// read_class_train_data: Read the training data for classifiers from a file.
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explicit HClassTrainData(const wchar_t* FileName);
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#endif
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// create_class_train_data: Create a handle for training data for classifiers.
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explicit HClassTrainData(Hlong NumDim);
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/***************************************************************************
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* Operators *
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***************************************************************************/
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// Deserialize serialized training data for classifiers.
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void DeserializeClassTrainData(const HSerializedItem& SerializedItemHandle);
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// Serialize training data for classifiers.
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HSerializedItem SerializeClassTrainData() const;
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// Read the training data for classifiers from a file.
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void ReadClassTrainData(const HString& FileName);
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// Read the training data for classifiers from a file.
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void ReadClassTrainData(const char* FileName);
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#ifdef _WIN32
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// Read the training data for classifiers from a file.
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void ReadClassTrainData(const wchar_t* FileName);
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#endif
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// Save the training data for classifiers in a file.
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void WriteClassTrainData(const HString& FileName) const;
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// Save the training data for classifiers in a file.
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void WriteClassTrainData(const char* FileName) const;
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#ifdef _WIN32
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// Save the training data for classifiers in a file.
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void WriteClassTrainData(const wchar_t* FileName) const;
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#endif
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// Select certain features from training data to create training data containing less features.
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HClassTrainData SelectSubFeatureClassTrainData(const HTuple& SubFeatureIndices) const;
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// Define subfeatures in training data.
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void SetFeatureLengthsClassTrainData(const HTuple& SubFeatureLength, const HTuple& Names) const;
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// Get the training data of a Gaussian Mixture Model (GMM).
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void GetClassTrainDataGmm(const HClassGmm& GMMHandle);
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// Add training data to a Gaussian Mixture Model (GMM).
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void AddClassTrainDataGmm(const HClassGmm& GMMHandle) const;
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// Get the training data of a multilayer perceptron (MLP).
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void GetClassTrainDataMlp(const HClassMlp& MLPHandle);
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// Add training data to a multilayer perceptron (MLP).
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void AddClassTrainDataMlp(const HClassMlp& MLPHandle) const;
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// Get the training data of a k-nearest neighbors (k-NN) classifier.
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void GetClassTrainDataKnn(const HClassKnn& KNNHandle);
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// Add training data to a k-nearest neighbors (k-NN) classifier.
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void AddClassTrainDataKnn(const HClassKnn& KNNHandle) const;
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// Get the training data of a support vector machine (SVM).
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void GetClassTrainDataSvm(const HClassSvm& SVMHandle);
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// Add training data to a support vector machine (SVM).
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void AddClassTrainDataSvm(const HClassSvm& SVMHandle) const;
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// Return the number of training samples stored in the training data.
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Hlong GetSampleNumClassTrainData() const;
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// Return a training sample from training data.
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HTuple GetSampleClassTrainData(Hlong IndexSample, Hlong* ClassID) const;
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// Clears training data for classifiers.
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void ClearClassTrainData() const;
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// Add a training sample to training data.
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void AddSampleClassTrainData(const HString& Order, const HTuple& Features, const HTuple& ClassID) const;
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// Add a training sample to training data.
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void AddSampleClassTrainData(const char* Order, const HTuple& Features, const HTuple& ClassID) const;
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#ifdef _WIN32
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// Add a training sample to training data.
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void AddSampleClassTrainData(const wchar_t* Order, const HTuple& Features, const HTuple& ClassID) const;
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#endif
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// Create a handle for training data for classifiers.
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void CreateClassTrainData(Hlong NumDim);
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// Selects an optimal combination of features to classify the provided data.
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HClassMlp SelectFeatureSetMlp(const HString& SelectionMethod, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination of features to classify the provided data.
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HClassMlp SelectFeatureSetMlp(const HString& SelectionMethod, const HString& GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination of features to classify the provided data.
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HClassMlp SelectFeatureSetMlp(const char* SelectionMethod, const char* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#ifdef _WIN32
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// Selects an optimal combination of features to classify the provided data.
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HClassMlp SelectFeatureSetMlp(const wchar_t* SelectionMethod, const wchar_t* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#endif
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// Selects an optimal combination of features to classify the provided data.
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HClassSvm SelectFeatureSetSvm(const HString& SelectionMethod, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination of features to classify the provided data.
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HClassSvm SelectFeatureSetSvm(const HString& SelectionMethod, const HString& GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination of features to classify the provided data.
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HClassSvm SelectFeatureSetSvm(const char* SelectionMethod, const char* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#ifdef _WIN32
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// Selects an optimal combination of features to classify the provided data.
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HClassSvm SelectFeatureSetSvm(const wchar_t* SelectionMethod, const wchar_t* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#endif
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// Selects an optimal combination from a set of features to classify the provided data.
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HClassGmm SelectFeatureSetGmm(const HString& SelectionMethod, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination from a set of features to classify the provided data.
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HClassGmm SelectFeatureSetGmm(const HString& SelectionMethod, const HString& GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal combination from a set of features to classify the provided data.
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HClassGmm SelectFeatureSetGmm(const char* SelectionMethod, const char* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#ifdef _WIN32
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// Selects an optimal combination from a set of features to classify the provided data.
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HClassGmm SelectFeatureSetGmm(const wchar_t* SelectionMethod, const wchar_t* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#endif
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// Selects an optimal subset from a set of features to solve a certain classification problem.
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HClassKnn SelectFeatureSetKnn(const HString& SelectionMethod, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal subset from a set of features to solve a certain classification problem.
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HClassKnn SelectFeatureSetKnn(const HString& SelectionMethod, const HString& GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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// Selects an optimal subset from a set of features to solve a certain classification problem.
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HClassKnn SelectFeatureSetKnn(const char* SelectionMethod, const char* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#ifdef _WIN32
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// Selects an optimal subset from a set of features to solve a certain classification problem.
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HClassKnn SelectFeatureSetKnn(const wchar_t* SelectionMethod, const wchar_t* GenParamName, double GenParamValue, HTuple* SelectedFeatureIndices, HTuple* Score) const;
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#endif
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};
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// forward declarations and types for internal array implementation
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template<class T> class HSmartPtr;
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template<class T> class HHandleBaseArrayRef;
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typedef HHandleBaseArrayRef<HClassTrainData> HClassTrainDataArrayRef;
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typedef HSmartPtr< HClassTrainDataArrayRef > HClassTrainDataArrayPtr;
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// Represents multiple tool instances
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class LIntExport HClassTrainDataArray : public HHandleBaseArray
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{
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public:
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// Create empty array
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HClassTrainDataArray();
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// Create array from native array of tool instances
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HClassTrainDataArray(HClassTrainData* classes, Hlong length);
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// Copy constructor
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HClassTrainDataArray(const HClassTrainDataArray &tool_array);
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// Destructor
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virtual ~HClassTrainDataArray();
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// Assignment operator
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HClassTrainDataArray &operator=(const HClassTrainDataArray &tool_array);
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// Clears array and all tool instances
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virtual void Clear();
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// Get array of native tool instances
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const HClassTrainData* Tools() const;
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// Get number of tools
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virtual Hlong Length() const;
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// Create tool array from tuple of handles
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virtual void SetFromTuple(const HTuple& handles);
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// Get tuple of handles for tool array
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virtual HTuple ConvertToTuple() const;
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protected:
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// Smart pointer to internal data container
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HClassTrainDataArrayPtr *mArrayPtr;
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};
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}
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#endif
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