pcb_inspect_client/3rdparty/include22/halcon/halconcpp/HClassKnn.h

/***********************************************************
 * File generated by the HALCON-Compiler hcomp version 20.11
 * Usage: Interface to C++
 *
 * Software by: MVTec Software GmbH, www.mvtec.com
 ***********************************************************/


#ifndef HCPP_HCLASSKNN
#define HCPP_HCLASSKNN

namespace HalconCpp
{

// Represents an instance of a k-NearestNeighbor classifier.
class LIntExport HClassKnn : public HHandle
{

public:

  // Create an uninitialized instance
  HClassKnn():HHandle() {}

  // Copy constructor
  HClassKnn(const HClassKnn& source) : HHandle(source) {}

  // Copy constructor
  HClassKnn(const HHandle& handle);

  // Create HClassKnn from handle, taking ownership
  explicit HClassKnn(Hlong handle);

  bool operator==(const HHandle& obj) const
  {
    return HHandleBase::operator==(obj);
  }

  bool operator!=(const HHandle& obj) const
  {
    return HHandleBase::operator!=(obj);
  }

protected:

  // Verify matching semantic type ('class_knn')!
  virtual void AssertType(Hphandle handle) const;

public:

  // Deep copy of all data represented by this object instance
  HClassKnn Clone() const;



/*****************************************************************************
 * Operator-based class constructors
 *****************************************************************************/

  // read_class_knn: Read the k-NN classifier from a file.
  explicit HClassKnn(const HString& FileName);

  // read_class_knn: Read the k-NN classifier from a file.
  explicit HClassKnn(const char* FileName);

#ifdef _WIN32
  // read_class_knn: Read the k-NN classifier from a file.
  explicit HClassKnn(const wchar_t* FileName);
#endif

  // create_class_knn: Create a k-nearest neighbors (k-NN) classifier.
  explicit HClassKnn(const HTuple& NumDim);




  /***************************************************************************
   * Operators                                                               *
   ***************************************************************************/

  // Classify an image with a k-Nearest-Neighbor classifier.
  HRegion ClassifyImageClassKnn(const HImage& Image, HImage* DistanceImage, double RejectionThreshold) const;

  // Add training samples from an image to the training data of a k-Nearest-Neighbor classifier.
  void AddSamplesImageClassKnn(const HImage& Image, const HRegion& ClassRegions) const;

  // Get the training data of a k-nearest neighbors (k-NN) classifier.
  HClassTrainData GetClassTrainDataKnn() const;

  // Add training data to a k-nearest neighbors (k-NN) classifier.
  void AddClassTrainDataKnn(const HClassTrainData& ClassTrainDataHandle) const;

  // Selects an optimal subset from a set of features to solve a certain  classification problem.
  HTuple SelectFeatureSetKnn(const HClassTrainData& ClassTrainDataHandle, const HString& SelectionMethod, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* Score);

  // Selects an optimal subset from a set of features to solve a certain  classification problem.
  HTuple SelectFeatureSetKnn(const HClassTrainData& ClassTrainDataHandle, const HString& SelectionMethod, const HString& GenParamName, double GenParamValue, HTuple* Score);

  // Selects an optimal subset from a set of features to solve a certain  classification problem.
  HTuple SelectFeatureSetKnn(const HClassTrainData& ClassTrainDataHandle, const char* SelectionMethod, const char* GenParamName, double GenParamValue, HTuple* Score);

#ifdef _WIN32
  // Selects an optimal subset from a set of features to solve a certain  classification problem.
  HTuple SelectFeatureSetKnn(const HClassTrainData& ClassTrainDataHandle, const wchar_t* SelectionMethod, const wchar_t* GenParamName, double GenParamValue, HTuple* Score);
#endif

  // Clear a k-NN classifier.
  void ClearClassKnn() const;

  // Return the number of training samples stored in the training data of a k-nearest neighbors (k-NN) classifier.
  Hlong GetSampleNumClassKnn() const;

  // Return a training sample from the training data of a k-nearest neighbors  (k-NN) classifier.
  HTuple GetSampleClassKnn(Hlong IndexSample, HTuple* ClassID) const;

  // Deserialize a serialized k-NN classifier.
  void DeserializeClassKnn(const HSerializedItem& SerializedItemHandle);

  // Serialize a k-NN classifier.
  HSerializedItem SerializeClassKnn() const;

  // Read the k-NN classifier from a file.
  void ReadClassKnn(const HString& FileName);

  // Read the k-NN classifier from a file.
  void ReadClassKnn(const char* FileName);

#ifdef _WIN32
  // Read the k-NN classifier from a file.
  void ReadClassKnn(const wchar_t* FileName);
#endif

  // Save the k-NN classifier in a file.
  void WriteClassKnn(const HString& FileName) const;

  // Save the k-NN classifier in a file.
  void WriteClassKnn(const char* FileName) const;

#ifdef _WIN32
  // Save the k-NN classifier in a file.
  void WriteClassKnn(const wchar_t* FileName) const;
#endif

  // Get parameters of a k-NN classification.
  HTuple GetParamsClassKnn(const HTuple& GenParamName) const;

  // Set parameters for k-NN classification.
  void SetParamsClassKnn(const HTuple& GenParamName, const HTuple& GenParamValue) const;

  // Search for the next neighbors for a given feature vector.
  HTuple ClassifyClassKnn(const HTuple& Features, HTuple* Rating) const;

  // Creates the search trees for a k-NN classifier.
  void TrainClassKnn(const HTuple& GenParamName, const HTuple& GenParamValue) const;

  // Add a sample to a  k-nearest neighbors (k-NN) classifier.
  void AddSampleClassKnn(const HTuple& Features, const HTuple& ClassID) const;

  // Add a sample to a  k-nearest neighbors (k-NN) classifier.
  void AddSampleClassKnn(double Features, Hlong ClassID) const;

  // Create a k-nearest neighbors (k-NN) classifier.
  void CreateClassKnn(const HTuple& NumDim);

  // Create a look-up table using a k-nearest neighbors classifier (k-NN) to classify byte images.
  HClassLUT CreateClassLutKnn(const HTuple& GenParamName, const HTuple& GenParamValue) const;

};

// forward declarations and types for internal array implementation

template<class T> class HSmartPtr;
template<class T> class HHandleBaseArrayRef;

typedef HHandleBaseArrayRef<HClassKnn> HClassKnnArrayRef;
typedef HSmartPtr< HClassKnnArrayRef > HClassKnnArrayPtr;


// Represents multiple tool instances
class LIntExport HClassKnnArray : public HHandleBaseArray
{

public:

  // Create empty array
  HClassKnnArray();

  // Create array from native array of tool instances
  HClassKnnArray(HClassKnn* classes, Hlong length);

  // Copy constructor
  HClassKnnArray(const HClassKnnArray &tool_array);

  // Destructor
  virtual ~HClassKnnArray();

  // Assignment operator
  HClassKnnArray &operator=(const HClassKnnArray &tool_array);

  // Clears array and all tool instances
  virtual void Clear();

  // Get array of native tool instances
  const HClassKnn* Tools() const;

  // Get number of tools
  virtual Hlong Length() const;

  // Create tool array from tuple of handles
  virtual void SetFromTuple(const HTuple& handles);

  // Get tuple of handles for tool array
  virtual HTuple ConvertToTuple() const;

protected:

// Smart pointer to internal data container
   HClassKnnArrayPtr *mArrayPtr;
};

}

#endif