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Open Source Computer Vision Library
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173 lines
5.1 KiB
173 lines
5.1 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// Intel License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000, Intel Corporation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of Intel Corporation may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "precomp.hpp" |
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/*======================= FILTER LIST SHELL =====================*/ |
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#define MAX_ANS 16 |
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#define MAX_DESC 1024 |
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class CvBlobTrackAnalysisIOR : public CvBlobTrackAnalysis |
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{ |
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protected: |
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struct DefAn |
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{ |
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const char* pName; |
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CvBlobTrackAnalysis* pAn; |
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} m_Ans[MAX_ANS]; |
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int m_AnNum; |
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char m_Desc[MAX_DESC]; |
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public: |
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CvBlobTrackAnalysisIOR() |
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{ |
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m_AnNum = 0; |
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SetModuleName("IOR"); |
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} |
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~CvBlobTrackAnalysisIOR() |
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{ |
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}; |
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virtual void AddBlob(CvBlob* pBlob) |
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{ |
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int i; |
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for(i=0; i<m_AnNum; ++i) |
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{ |
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m_Ans[i].pAn->AddBlob(pBlob); |
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} /* Next analyzer. */ |
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}; |
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virtual void Process(IplImage* pImg, IplImage* pFG) |
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{ |
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int i; |
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#ifdef _OPENMP |
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#pragma omp parallel for |
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#endif |
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for(i=0; i<m_AnNum; ++i) |
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{ |
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m_Ans[i].pAn->Process(pImg, pFG); |
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} /* Next analyzer. */ |
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}; |
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float GetState(int BlobID) |
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{ |
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int state = 0; |
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int i; |
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for(i=0; i<m_AnNum; ++i) |
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{ |
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state |= (m_Ans[i].pAn->GetState(BlobID) > 0.5); |
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} /* Next analyzer. */ |
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return (float)state; |
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}; |
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virtual const char* GetStateDesc(int BlobID) |
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{ |
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int rest = MAX_DESC-1; |
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int i; |
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m_Desc[0] = 0; |
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for(i=0; i<m_AnNum; ++i) |
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{ |
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const char* str = m_Ans[i].pAn->GetStateDesc(BlobID); |
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if(str && strlen(m_Ans[i].pName) + strlen(str)+4 < (size_t)rest) |
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{ |
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strcat(m_Desc,m_Ans[i].pName); |
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strcat(m_Desc,": "); |
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strcat(m_Desc,str); |
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strcat(m_Desc,"\n"); |
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rest = MAX_DESC - (int)strlen(m_Desc) - 1; |
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} |
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} /* Next analyzer. */ |
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if(m_Desc[0]!=0)return m_Desc; |
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return NULL; |
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}; |
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virtual void SetFileName(char* /*DataBaseName*/) |
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{ |
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}; |
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int AddAnalyzer(CvBlobTrackAnalysis* pA, const char* pName) |
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{ |
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if(m_AnNum<MAX_ANS) |
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{ |
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//int i; |
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m_Ans[m_AnNum].pName = pName; |
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m_Ans[m_AnNum].pAn = pA; |
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TransferParamsFromChild(m_Ans[m_AnNum].pAn, pName); |
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m_AnNum++; |
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return 1; |
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} |
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else |
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{ |
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printf("Can not add track analyzer %s! (not more that %d analyzers)\n",pName,MAX_ANS); |
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return 0; |
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} |
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} |
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void Release() |
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{ |
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int i; |
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for(i=0; i<m_AnNum; ++i) |
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{ |
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m_Ans[i].pAn->Release(); |
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} /* Next analyzer. */ |
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delete this; |
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}; |
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}; /* CvBlobTrackAnalysisIOR. */ |
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CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR() |
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{ |
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CvBlobTrackAnalysisIOR* pIOR = new CvBlobTrackAnalysisIOR(); |
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CvBlobTrackAnalysis* pA = NULL; |
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pA = cvCreateModuleBlobTrackAnalysisHistPVS(); |
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pIOR->AddAnalyzer(pA, "HIST"); |
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//pA = (CvBlobTrackAnalysis*)cvCreateModuleBlobTrackAnalysisHeightScale(); |
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//pIOR->AddAnalyzer(pA, "SCALE"); |
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return (CvBlobTrackAnalysis*)pIOR; |
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}/* cvCreateCvBlobTrackAnalysisIOR */ |
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/* ======================== Analyser modules ============================= */
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