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/*****************************************************************************************
* Copyright (c) 2006 Hewlett-Packard Development Company, L.P.
* Permission is hereby granted, free of charge, to any person obtaining a copy of
* this software and associated documentation files (the "Software"), to deal in
* the Software without restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the
* Software, and to permit persons to whom the Software is furnished to do so,
* subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
* PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
* CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE
* OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*****************************************************************************************/
/************************************************************************
* SVN MACROS
*
* $LastChangedDate: 2009-04-06 11:55:15 +0530 (Mon, 06 Apr 2009) $
* $Revision: 758 $
* $Author: royva $
*
************************************************************************/
/************************************************************************
* FILE DESCR: Implements ActiveDTWShapeRecognizer::Adapt
*
* CONTENTS:
*
* AUTHOR: S Anand
*
* DATE: 3-MAR-2009
* CHANGE HISTORY:
* Author Date Description
************************************************************************/
#pragma once
#include "ActiveDTWShapeRecognizer.h"
#include "LTKLoggerUtil.h"
#include "LTKConfigFileReader.h"
#include "LTKErrors.h"
#include "LTKErrorsList.h"
#include "LTKPreprocDefaults.h"
#define TRAINSINGLETONFACTOR 2
class ActiveDTWShapeRecognizer;
class LTKAdapt
{
private:
/** @name Constructor */
LTKAdapt(ActiveDTWShapeRecognizer* ptrActiveDTWShapeReco);
static LTKAdapt* adaptInstance;
static int m_count;
/**< @brief
* <p>
* Initially m_count = 0, when adapt is called on first sample
* it checks if m_count = 0, if yes it calls readAdaptConfig and then increments m_count to 1
* Thus readAdaptConfig is called only once
* </p>
*/
public:
static LTKAdapt* getInstance(ActiveDTWShapeRecognizer* ptrActiveDTWShapeReco);
/**
* Adapts the shapeId
*
* Semantics
*
* - Reads the internal classifier config information incase of first sample to be adapted
- Checks if the sample to be adapted was correctly classified or incorrectly classified
- Incase of correct classification
--Check if the shape was closest to the cluster or singletons
--If sample to be adapted was closest to the clusters, and cluster size does not exceed
m_maxClusterSize, then call adaptCluster
--It sample to be adapted was closest to the singleton, call adaptSingleton
-Incase of incorrect classification
--If the sample to be adapted was closest to a cluster, call adaptCluster
--If the sample to be adapted was closest to a singleton, call adaptSingleton
*
* @param shapeId : shape to be adapted
* @return SUCCESS : if the shapeId was adapted successfully
* ErrorCode: if some error occurs
* @exception ENEIGHBOR_INFO_VECTOR_EMPTY : ActiveDTWShapeRecognizer::m_neighbofInfoVec is empty
* @exception ESHAPE_SAMPLE_FEATURES_EMPTY : ActiveDTWShapeRecognizer::m_cachedShapeFeature is empty
*/
int adapt(int shapeId);
/** @name Destructor */
~LTKAdapt();
void deleteInstance();
private:
/**< @brief Pointer to ActiveDTWShapeRecognizer
* <p>
*
* </p>
*/
ActiveDTWShapeRecognizer* m_activedtwShapeRecognizer;
//the maximum number of samples in a cluster
int m_maxClusterSize;
/**< @brief Maximum Cluster Size
* <p>
* Specifies the maximum number of samples that can be present in a cluster
* It must be >= the ActiveDTWShapeRecognizer::m_minClusterSize
* </p>
*/
/**
* This method reads Config variables related to Adapt from CFG
*
* Semantics
*
*
* @param none
*
* @return SUCCESS:
* FAILURE: return ErrorCode
* @exception none
*/
int readAdaptConfig();
/**
* Adapts the cluster with the new shapeFeature
*
* Semantics
*
* - Recomputes the eigen values, eigen vectors and cluster mean,
* using the old values and the new shape feature
*
* @param featureVecToAdapt : shapeFeature
* @param clusterId : cluster to be adapted
* @param shapeId : shape to be adapted
* @return SUCCESS : if the shapeId was adapted successfully
* ErrorCode: if some error occurs
* @exception EINVALID_SHAPEID
* @exception EINVALID_CLUSTER_ID
*/
int adaptCluster(shapeFeature& featureVecToAdapt,int clusterId,int shapeId);
/**
* Adapts the set of singletons with the new shapeFeature
*
* Semantics
*
* - Adds the new shapeFeature to the current set of singletons
*
* - If the number of singletons exceeds a certain threshold train the singletons
*
* @param featureVecToAdapt : shapeFeature
* @param shapeId : shape to be adapted
* @return SUCCESS : if the shapeId was adapted successfully
* ErrorCode: if some error occurs
* @exception EINVALID_SHAPEID
*/
int adaptSingleton(shapeFeature& featureVecToAdapt,int shapeId);
/**
* Performs training on the set of singletons
*
* Semantics
*
* - performs clustering on the singletons, resulting in new clusters and singleton set
*
* - cluster and singleton information are added to the shape model
*
* @param singletons : shapeMatrix
* @param shapeId : shape to be adapted
* @param index : index in ActiveDTWShapeRecognizer::m_prototypeShapes which holds the shapeModel information
* @return SUCCESS : if the shapeId was adapted successfully
* ErrorCode: if some error occurs
* @exception EINVALID_SHAPEID : shapeId specified is Invalid
* @exception EPROTOYPESHAPE_INDEX_OUT_OF_BOUND ; index value specified is Invalid
* @exception EEMPTY_EIGENVECTORS ; eigen vector dimension is < 0
* @exception EINVALID_NUM_OF_EIGENVECTORS : number of eigen vectors < 0
*/
int trainSingletons(const shapeMatrix &singletons,int shapeId,int index);
};
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