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Delphi-OpenCV/include/legacy/blobtrack.pas
Laex 42c52f1619 Merged branches 
Signed-off-by: Laex <laex@bk.ru>
2013-09-12 14:50:55 +04:00

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// --------------------------------- OpenCV license.txt ---------------------------
(* // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage. *)
(* / **************************************************************************************************
// Project Delphi-OpenCV
// **************************************************************************************************
// Contributor:
// laentir Valetov
// email:laex@bk.ru
// **************************************************************************************************
// You may retrieve the latest version of this file at the GitHub,
// located at git://github.com/Laex/Delphi-OpenCV.git
// **************************************************************************************************
// License:
// The contents of this file are subject to the Mozilla Public License Version 1.1 (the "License");
// you may not use this file except in compliance with the License. You may obtain a copy of the
// License at http://www.mozilla.org/MPL/
//
// Software distributed under the License is distributed on an "AS IS" basis, WITHOUT WARRANTY OF
// ANY KIND, either express or implied. See the License for the specific language governing rights
// and limitations under the License.
//
// Alternatively, the contents of this file may be used under the terms of the
// GNU Lesser General Public License (the "LGPL License"), in which case the
// provisions of the LGPL License are applicable instead of those above.
// If you wish to allow use of your version of this file only under the terms
// of the LGPL License and not to allow others to use your version of this file
// under the MPL, indicate your decision by deleting the provisions above and
// replace them with the notice and other provisions required by the LGPL
// License. If you do not delete the provisions above, a recipient may use
// your version of this file under either the MPL or the LGPL License.
//
// For more information about the LGPL: http://www.gnu.org/copyleft/lesser.html
// **************************************************************************************************
// Warning: Using Delphi XE3 syntax!
// **************************************************************************************************
// The Initial Developer of the Original Code:
// OpenCV: open source computer vision library
// Homepage: http://opencv.org
// Online docs: http://docs.opencv.org
// Q&A forum: http://answers.opencv.org
// Dev zone: http://code.opencv.org
// **************************************************************************************************
// Original file:
// opencv\modules\legacy\include\opencv2\legacy\blobtrack.hpp
// ************************************************************************************************* *)
{$IFDEF DEBUG}
{$A8,B-,C+,D+,E-,F-,G+,H+,I+,J-,K-,L+,M-,N+,O-,P+,Q+,R+,S-,T-,U-,V+,W+,X+,Y+,Z1}
{$ELSE}
{$A8,B-,C-,D-,E-,F-,G+,H+,I+,J-,K-,L-,M-,N+,O+,P+,Q-,R-,S-,T-,U-,V+,W-,X+,Y-,Z1}
{$ENDIF}
{$WARN SYMBOL_DEPRECATED OFF}
{$WARN SYMBOL_PLATFORM OFF}
{$WARN UNIT_PLATFORM OFF}
{$WARN UNSAFE_TYPE OFF}
{$WARN UNSAFE_CODE OFF}
{$WARN UNSAFE_CAST OFF}
{$POINTERMATH ON}
unit blobtrack;
interface
Uses Windows, core_c, core.types_c, imgproc_c;
type
// struct DefParam;
pCvDefParam = ^TCvDefParam;
TCvDefParam = packed record
next: pCvDefParam;
pName: pCvChar;
pComment: pCvChar;
pDouble: pDouble;
Double: Double;
pFloat: pSingle;
Float: Single;
pInt: pInteger;
Int: Integer;
pStr: ppCVChar;
Str: pCvChar;
end;
TCvVSModule = class
private // * Internal data: */
m_pParamList: pCvDefParam;
m_pModuleTypeName: pCvChar;
m_pModuleName: pCvChar;
m_pNickName: pCvChar;
protected
m_Wnd: Integer;
public
// * Constructor and destructor: * /
constructor Create;
destructor Destroy; override;
private
// * Internal functions: * /
procedure FreeParam(var pp: pCvDefParam);
function NewParam(const name: pCvChar): pCvDefParam;
function GetParamPtr(index: Integer): pCvDefParam; overload;
function GetParamPtr(const name: pCvChar): pCvDefParam; overload;
protected
// * Internal INTERFACE * /
function IsParam(const name: pCvChar): Integer;
procedure AddParam(const name: pCvChar; pAddr: pDouble); overload;
procedure AddParam(const name: pCvChar; pAddr: pSingle); overload;
procedure AddParam(const name: pCvChar; pAddr: pInteger); overload;
procedure AddParam(const name: pCvChar; pAddr: pCvChar); overload;
procedure AddParam(const name: pCvChar); overload;
procedure CommentParam(const name: pCvChar; const pComment: pCvChar);
procedure SetTypeName(const name: pCvChar);
procedure SetModuleName(const name: pCvChar);
procedure DelParam(const name: pCvChar);
public
// * EXTERNAL INTERFACE * /
function GetParamName(index: Integer): pCvChar;
function GetParamComment(const name: pCvChar): pCvChar;
function GetParam(const name: pCvChar): Double;
function GetParamStr(const name: pCvChar): pCvChar;
procedure SetParam(const name: pCvChar; val: Double);
procedure SetParamStr(const name: pCvChar; const Str: pCvChar);
procedure TransferParamsFromChild(pM: TCvVSModule; const prefix: pCvChar = nil);
procedure TransferParamsToChild(pM: TCvVSModule; prefix: pCvChar = nil);
procedure ParamUpdate; virtual;
function GetTypeName(): pCvChar;
function IsModuleTypeName(const name: pCvChar): Integer;
function GetModuleName(): pCvChar;
function IsModuleName(const name: pCvChar): Integer;
procedure SetNickName(const pStr: pCvChar);
function GetNickName(): pCvChar;
procedure SaveState(FileStorage: pCvFileStorage); virtual;
procedure LoadState(FileStorage: pCvFileStorage; FileNode: pCvFileNode); virtual;
procedure Release(); virtual; abstract;
end;
// CV_EXPORTS void cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, const char* desc, int num=1);
// CV_EXPORTS void cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, const char* desc);
/// * FOREGROUND DETECTOR INTERFACE */
TCvFGDetector = class(TCvVSModule)
public
constructor Create;
function GetMask: pIplImage; virtual; abstract;
// * Process current image: */
procedure Process(pImg: pIplImage); virtual; abstract;
// * Release foreground detector: */
procedure Release; virtual; abstract;
end;
// * BLOB STRUCTURE*/
pCvBlob = ^TCvBlob;
TCvBlob = packed record
x, y: Single; // * blob position */
w, h: Single; // * blob sizes */
ID: Integer; // * blob ID */
end;
function cvBlob(x, y, w, h: Single): TCvBlob; inline;
const
CV_BLOB_MINW = 5;
CV_BLOB_MINH = 5;
function CV_BLOB_ID(pB: pCvBlob): Integer; inline;
// #define CV_BLOB_CENTER(pB) cvPoint2D32f(((CvBlob*)(pB))->x,((CvBlob*)(pB))->y)
function CV_BLOB_X(pB: pCvBlob): Single; inline;
function CV_BLOB_Y(pB: pCvBlob): Single; inline;
function CV_BLOB_WX(pB: pCvBlob): Single; inline;
function CV_BLOB_WY(pB: pCvBlob): Single; inline;
function CV_BLOB_RX(pB: pCvBlob): Single; inline;
function CV_BLOB_RY(pB: pCvBlob): Single; inline;
// #define CV_BLOB_RECT(pB) cvRect(cvRound(((CvBlob*)(pB))->x-CV_BLOB_RX(pB)),cvRound(((CvBlob*)(pB))->y-CV_BLOB_RY(pB)),cvRound(CV_BLOB_WX(pB)),cvRound(CV_BLOB_WY(pB)))
/// * END BLOB STRUCTURE*/
type
// * simple BLOBLIST */
TCvBlobSeq = class
public
constructor Create(BlobSize: Integer = sizeof(TCvBlob));
destructor Destroy; override;
function GetBlob(BlobIndex: Integer): pCvBlob; virtual;
function GetBlobByID(BlobID: Integer): pCvBlob; virtual;
procedure DelBlob(BlobIndex: Integer); virtual;
procedure DelBlobByID(BlobID: Integer); virtual;
procedure Clear(); virtual;
procedure AddBlob(pB: pCvBlob); virtual;
function GetBlobNum(): Integer; virtual;
procedure Write(fs: pCvFileStorage; const name: pCvChar); virtual;
procedure Load(fs: pCvFileStorage; node: pCvFileNode); virtual;
procedure AddFormat(const Str: pCvChar);
protected
m_pMem: pCvMemStorage;
m_pSeq: pCvSeq;
m_pElemFormat: array [0 .. 1024 - 1] of CvChar;
end;
// * simple BLOBLIST */
//
/// * simple TRACKLIST */
// struct CvBlobTrack
// {
// int TrackID;
// int StartFrame;
// CvBlobSeq* pBlobSeq;
// };
//
// class CV_EXPORTS CvBlobTrackSeq
// {
// public:
// CvBlobTrackSeq(int TrackSize = sizeof(CvBlobTrack));
// virtual ~CvBlobTrackSeq();
// virtual CvBlobTrack* GetBlobTrack(int TrackIndex);
// virtual CvBlobTrack* GetBlobTrackByID(int TrackID);
// virtual void DelBlobTrack(int TrackIndex);
// virtual void DelBlobTrackByID(int TrackID);
// virtual void Clear();
// virtual void AddBlobTrack(int TrackID, int StartFrame = 0);
// virtual int GetBlobTrackNum();
// protected:
// CvMemStorage* m_pMem;
// CvSeq* m_pSeq;
// };
/// * simple TRACKLIST */
Type
// * BLOB DETECTOR INTERFACE */
TCvBlobDetector = class(TCvVSModule)
public
constructor Craete;
// * Try to detect new blob entrance based on foreground mask. */
// * pFGMask - image of foreground mask */
// * pNewBlob - pointer to CvBlob structure which will be filled if new blob entrance detected */
// * pOldBlobList - pointer to blob list which already exist on image */
function DetectNewBlob(pImg: pIplImage; pImgFG: pIplImage; pNewBlobList: TCvBlobSeq; pOldBlobList: TCvBlobSeq)
: Integer; virtual; abstract;
// * release blob detector */
procedure Release(); virtual; abstract;
end;
/// * Release any blob detector: */
// CV_EXPORTS void cvReleaseBlobDetector(CvBlobDetector** ppBD);
//
/// * Declarations of constructors of implemented modules: */
/// * Blob detector creator (sole interface function for this file) */
// CvBlobDetector* cvCreateBlobDetectorSimple()
function cvCreateBlobDetectorSimple(): TCvBlobDetector;
/// * Blob detector creator (sole interface function for this file): */
function cvCreateBlobDetectorCC(): TCvBlobDetector;
Type
TCvDetectedBlob = packed record
x, y: Single; // * blob position */
w, h: Single; // * blob sizes */
ID: Integer; // * blob ID */
response: Single;
end;
// CV_INLINE CvDetectedBlob cvDetectedBlob( float x, float y, float w, float h, int ID = 0, float response = 0.0F )
// {
// CvDetectedBlob b;
// b.x = x; b.y = y; b.w = w; b.h = h; b.ID = ID; b.response = response;
// return b;
// }
type
TCvObjectDetector = class
public
constructor Create(const detector_file_name: pCvChar = nil);
destructor Destroy; override;
// /*
// * Release the current detector and load new detector from file
// * (if detector_file_name is not 0)
// * Return true on success:
// */
function Load(const detector_file_name: pCvChar = nil): boolean;
// /* Return min detector window size: */
function GetMinWindowSize(): TCvSize;
// /* Return max border: */
function GetMaxBorderSize(): Integer;
// /*
// * Detect the object on the image and push the detected
// * blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
// */
procedure Detect(const img: pCvArr; out detected_blob_seq: TCvBlobSeq);
// protected
// impl:TCvObjectDetectorImpl;
end;
// CV_INLINE CvRect cvRectIntersection( const CvRect r1, const CvRect r2 )
// {
// CvRect r = cvRect( MAX(r1.x, r2.x), MAX(r1.y, r2.y), 0, 0 );
//
// r.width = MIN(r1.x + r1.width, r2.x + r2.width) - r.x;
// r.height = MIN(r1.y + r1.height, r2.y + r2.height) - r.y;
//
// return r;
// }
//
//
/// *
// * CvImageDrawer
// *
// * Draw on an image the specified ROIs from the source image and
// * given blobs as ellipses or rectangles:
// */
//
// struct CvDrawShape
// {
// enum {RECT, ELLIPSE} shape;
// CvScalar color;
// };
//
/// *extern const CvDrawShape icv_shape[] =
// {
// { CvDrawShape::ELLIPSE, CV_RGB(255,0,0) },
// { CvDrawShape::ELLIPSE, CV_RGB(0,255,0) },
// { CvDrawShape::ELLIPSE, CV_RGB(0,0,255) },
// { CvDrawShape::ELLIPSE, CV_RGB(255,255,0) },
// { CvDrawShape::ELLIPSE, CV_RGB(0,255,255) },
// { CvDrawShape::ELLIPSE, CV_RGB(255,0,255) }
// };*/
//
// class CV_EXPORTS CvImageDrawer
// {
// public:
// CvImageDrawer() : m_image(0) {}
// ~CvImageDrawer() { cvReleaseImage( &m_image ); }
// void SetShapes( const CvDrawShape* shapes, int num );
// /* <blob_seq> must be the sequence of <CvDetectedBlob>s */
// IplImage* Draw( const CvArr* src, CvBlobSeq* blob_seq = 0, const CvSeq* roi_seq = 0 );
// IplImage* GetImage() { return m_image; }
// protected:
// //static const int MAX_SHAPES = sizeof(icv_shape) / sizeof(icv_shape[0]);;
//
// IplImage* m_image;
// CvDrawShape m_shape[16];
// };
//
//
//
/// * Trajectory generation module: */
// class CV_EXPORTS CvBlobTrackGen: public CvVSModule
// {
// public:
// CvBlobTrackGen(){SetTypeName("BlobTrackGen");};
// virtual void SetFileName(char* pFileName) = 0;
// virtual void AddBlob(CvBlob* pBlob) = 0;
// virtual void Process(IplImage* pImg = NULL, IplImage* pFG = NULL) = 0;
// virtual void Release() = 0;
// };
//
// inline void cvReleaseBlobTrackGen(CvBlobTrackGen** pBTGen)
// {
// if(*pBTGen)(*pBTGen)->Release();
// *pBTGen = 0;
// }
//
/// * Declarations of constructors of implemented modules: */
// CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGen1();
// CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGenYML();
type
/// * BLOB TRACKER INTERFACE */
TCvBlobTracker = class(TCvVSModule)
public
constructor Create;
// /* Add new blob to track it and assign to this blob personal ID */
// /* pBlob - pointer to structure with blob parameters (ID is ignored)*/
// /* pImg - current image */
// /* pImgFG - current foreground mask */
// /* Return pointer to new added blob: */
function AddBlob(pBlob: pCvBlob; pImg: pIplImage; pImgFG: pIplImage = NiL): pCvBlob; virtual; abstract;
// /* Return number of currently tracked blobs: */
function GetBlobNum(): Integer; virtual; abstract;
// /* Return pointer to specified by index blob: */
function GetBlob(BlobIndex: Integer): pCvBlob; virtual; abstract;
// /* Delete blob by its index: */
procedure DelBlob(BlobIndex: Integer); virtual; abstract;
// /* Process current image and track all existed blobs: */
// virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL) = 0;
procedure Process(pImg: pIplImage; pImgFG: pIplImage = NiL); virtual; abstract;
// /* Release blob tracker: */
procedure Release(); virtual; abstract;
// /* Process one blob (for multi hypothesis tracing): */
procedure ProcessBlob(BlobIndex: Integer; pBlob: pCvBlob; pImg: pIplImage; pImgFG: pIplImage = NiL);
virtual; abstract;
// /* Get confidence/wieght/probability (0-1) for blob: */
// virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
function GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL):double; virtual;
// virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL);
//
// virtual void UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
//
// /* Update all blob models: */
// virtual void Update(IplImage* pImg, IplImage* pImgFG = NULL);
//
// /* Return pointer to blob by its unique ID: */
// virtual int GetBlobIndexByID(int BlobID);
//
// /* Return pointer to blob by its unique ID: */
// virtual CvBlob* GetBlobByID(int BlobID);
//
// /* Delete blob by its ID: */
// virtual void DelBlobByID(int BlobID);
//
// /* Set new parameters for specified (by index) blob: */
// virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/);
//
// /* Set new parameters for specified (by ID) blob: */
// virtual void SetBlobByID(int BlobID, CvBlob* pBlob);
//
// /* =============== MULTI HYPOTHESIS INTERFACE ================== */
//
// /* Return number of position hyposetis of currently tracked blob: */
// virtual int GetBlobHypNum(int /*BlobIdx*/);
//
// /* Return pointer to specified blob hypothesis by index blob: */
// virtual CvBlob* GetBlobHyp(int BlobIndex, int /*hypothesis*/);
//
// /* Set new parameters for specified (by index) blob hyp
// * (can be called several times for each hyp ):
// */
// virtual void SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/);
end;
// CV_EXPORTS void cvReleaseBlobTracker(CvBlobTracker**ppT );
/// * BLOB TRACKER INTERFACE */
//
/// *BLOB TRACKER ONE INTERFACE */
// class CV_EXPORTS CvBlobTrackerOne : public CvVSModule
// {
// public:
// virtual void Init(CvBlob* pBlobInit, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
// virtual CvBlob* Process(CvBlob* pBlobPrev, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
// virtual void Release() = 0;
//
// /* Non-required methods: */
// virtual void SkipProcess(CvBlob* /*pBlobPrev*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
// virtual void Update(CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
// virtual void SetCollision(int /*CollisionFlag*/){}; /* call in case of blob collision situation*/
// virtual double GetConfidence(CvBlob* /*pBlob*/, IplImage* /*pImg*/,
// IplImage* /*pImgFG*/ = NULL, IplImage* /*pImgUnusedReg*/ = NULL)
// {
// return 1;
// };
// };
// inline void cvReleaseBlobTrackerOne(CvBlobTrackerOne **ppT )
// {
// ppT[0]->Release();
// ppT[0] = 0;
// }
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerList(CvBlobTrackerOne* (*create)());
/// *BLOB TRACKER ONE INTERFACE */
//
/// * Declarations of constructors of implemented modules: */
//
/// * Some declarations for specific MeanShift tracker: */
// #define PROFILE_EPANECHNIKOV 0
// #define PROFILE_DOG 1
// struct CvBlobTrackerParamMS
// {
// int noOfSigBits;
// int appearance_profile;
// int meanshift_profile;
// float sigma;
// };
//
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1(CvBlobTrackerParamMS* param);
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS2(CvBlobTrackerParamMS* param);
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1ByList();
//
/// * Some declarations for specific Likelihood tracker: */
// struct CvBlobTrackerParamLH
// {
// int HistType; /* see Prob.h */
// int ScaleAfter;
// };
//
/// * Without scale optimization: */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHR(CvBlobTrackerParamLH* /*param*/ = NULL);
//
/// * With scale optimization: */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHRS(CvBlobTrackerParamLH* /*param*/ = NULL);
//
/// * Simple blob tracker based on connected component tracking: */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCC();
//
/// * Connected component tracking and mean-shift particle filter collion-resolver: */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCCMSPF();
//
/// * Blob tracker that integrates meanshift and connected components: */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFG();
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFGS();
//
/// * Meanshift without connected-components */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS();
//
/// * Particle filtering via Bhattacharya coefficient, which */
/// * is roughly the dot-product of two probability densities. */
/// * See: Real-Time Tracking of Non-Rigid Objects using Mean Shift */
/// * Comanicius, Ramesh, Meer, 2000, 8p */
/// * http://citeseer.ist.psu.edu/321441.html */
// CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSPF();
//
/// * =========== tracker integrators trackers =============*/
//
/// * Integrator based on Particle Filtering method: */
/// /CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPF();
//
/// * Rule based integrator: */
/// /CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIRB();
//
/// * Integrator based on data fusion using particle filtering: */
/// /CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPFDF();
//
//
//
//
/// * Trajectory postprocessing module: */
// class CV_EXPORTS CvBlobTrackPostProc: public CvVSModule
// {
// public:
// CvBlobTrackPostProc(){SetTypeName("BlobTrackPostProc");};
// virtual void AddBlob(CvBlob* pBlob) = 0;
// virtual void Process() = 0;
// virtual int GetBlobNum() = 0;
// virtual CvBlob* GetBlob(int index) = 0;
// virtual void Release() = 0;
//
// /* Additional functionality: */
// virtual CvBlob* GetBlobByID(int BlobID)
// {
// int i;
// for(i=GetBlobNum();i>0;i--)
// {
// CvBlob* pB=GetBlob(i-1);
// if(pB->ID==BlobID) return pB;
// }
// return NULL;
// };
// };
//
// inline void cvReleaseBlobTrackPostProc(CvBlobTrackPostProc** pBTPP)
// {
// if(pBTPP == NULL) return;
// if(*pBTPP)(*pBTPP)->Release();
// *pBTPP = 0;
// }
//
/// * Trajectory generation module: */
// class CV_EXPORTS CvBlobTrackPostProcOne: public CvVSModule
// {
// public:
// CvBlobTrackPostProcOne(){SetTypeName("BlobTrackPostOne");};
// virtual CvBlob* Process(CvBlob* pBlob) = 0;
// virtual void Release() = 0;
// };
//
/// * Create blob tracking post processing module based on simle module: */
// CV_EXPORTS CvBlobTrackPostProc* cvCreateBlobTrackPostProcList(CvBlobTrackPostProcOne* (*create)());
//
//
/// * Declarations of constructors of implemented modules: */
// CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcKalman();
// CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverRect();
// CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverExp();
//
//
/// * PREDICTORS */
/// * blob PREDICTOR */
// class CvBlobTrackPredictor: public CvVSModule
// {
// public:
// CvBlobTrackPredictor(){SetTypeName("BlobTrackPredictor");};
// virtual CvBlob* Predict() = 0;
// virtual void Update(CvBlob* pBlob) = 0;
// virtual void Release() = 0;
// };
// CV_EXPORTS CvBlobTrackPredictor* cvCreateModuleBlobTrackPredictKalman();
//
//
//
/// * Trajectory analyser module: */
// class CV_EXPORTS CvBlobTrackAnalysis: public CvVSModule
// {
// public:
// CvBlobTrackAnalysis(){SetTypeName("BlobTrackAnalysis");};
// virtual void AddBlob(CvBlob* pBlob) = 0;
// virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
// virtual float GetState(int BlobID) = 0;
// /* return 0 if trajectory is normal
// return >0 if trajectory abnormal */
// virtual const char* GetStateDesc(int /*BlobID*/){return NULL;};
// virtual void SetFileName(char* /*DataBaseName*/){};
// virtual void Release() = 0;
// };
//
//
// inline void cvReleaseBlobTrackAnalysis(CvBlobTrackAnalysis** pBTPP)
// {
// if(pBTPP == NULL) return;
// if(*pBTPP)(*pBTPP)->Release();
// *pBTPP = 0;
// }
//
/// * Feature-vector generation module: */
// class CV_EXPORTS CvBlobTrackFVGen : public CvVSModule
// {
// public:
// CvBlobTrackFVGen(){SetTypeName("BlobTrackFVGen");};
// virtual void AddBlob(CvBlob* pBlob) = 0;
// virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
// virtual void Release() = 0;
// virtual int GetFVSize() = 0;
// virtual int GetFVNum() = 0;
// virtual float* GetFV(int index, int* pFVID) = 0; /* Returns pointer to FV, if return 0 then FV not created */
// virtual float* GetFVVar(){return NULL;}; /* Returns pointer to array of variation of values of FV, if returns 0 then FVVar does not exist. */
// virtual float* GetFVMin() = 0; /* Returns pointer to array of minimal values of FV, if returns 0 then FVrange does not exist */
// virtual float* GetFVMax() = 0; /* Returns pointer to array of maximal values of FV, if returns 0 then FVrange does not exist */
// };
//
//
/// * Trajectory Analyser module: */
// class CV_EXPORTS CvBlobTrackAnalysisOne
// {
// public:
// virtual ~CvBlobTrackAnalysisOne() {};
// virtual int Process(CvBlob* pBlob, IplImage* pImg, IplImage* pFG) = 0;
// /* return 0 if trajectory is normal
// return >0 if trajectory abnormal */
// virtual void Release() = 0;
// };
//
/// * Create blob tracking post processing module based on simle module: */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateBlobTrackAnalysisList(CvBlobTrackAnalysisOne* (*create)());
//
/// * Declarations of constructors of implemented modules: */
//
/// * Based on histogram analysis of 2D FV (x,y): */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistP();
//
/// * Based on histogram analysis of 4D FV (x,y,vx,vy): */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPV();
//
/// * Based on histogram analysis of 5D FV (x,y,vx,vy,state): */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPVS();
//
/// * Based on histogram analysis of 4D FV (startpos,stoppos): */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistSS();
//
//
//
/// * Based on SVM classifier analysis of 2D FV (x,y): */
/// /CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMP();
//
/// * Based on SVM classifier analysis of 4D FV (x,y,vx,vy): */
/// /CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPV();
//
/// * Based on SVM classifier analysis of 5D FV (x,y,vx,vy,state): */
/// /CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPVS();
//
/// * Based on SVM classifier analysis of 4D FV (startpos,stoppos): */
/// /CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMSS();
//
/// * Track analysis based on distance between tracks: */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisTrackDist();
//
/// * Analyzer based on reation Road and height map: */
/// /CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysis3DRoadMap();
//
/// * Analyzer that makes OR decision using set of analyzers: */
// CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR();
//
/// * Estimator of human height: */
// class CV_EXPORTS CvBlobTrackAnalysisHeight: public CvBlobTrackAnalysis
// {
// public:
// virtual double GetHeight(CvBlob* pB) = 0;
// };
/// /CV_EXPORTS CvBlobTrackAnalysisHeight* cvCreateModuleBlobTrackAnalysisHeightScale();
//
//
//
/// * AUTO BLOB TRACKER INTERFACE -- pipeline of 3 modules: */
// class CV_EXPORTS CvBlobTrackerAuto: public CvVSModule
// {
// public:
// CvBlobTrackerAuto(){SetTypeName("BlobTrackerAuto");};
// virtual void Process(IplImage* pImg, IplImage* pMask = NULL) = 0;
// virtual CvBlob* GetBlob(int index) = 0;
// virtual CvBlob* GetBlobByID(int ID) = 0;
// virtual int GetBlobNum() = 0;
// virtual IplImage* GetFGMask(){return NULL;};
// virtual float GetState(int BlobID) = 0;
// virtual const char* GetStateDesc(int BlobID) = 0;
// /* return 0 if trajectory is normal;
// * return >0 if trajectory abnormal. */
// virtual void Release() = 0;
// };
// inline void cvReleaseBlobTrackerAuto(CvBlobTrackerAuto** ppT)
// {
// ppT[0]->Release();
// ppT[0] = 0;
// }
/// * END AUTO BLOB TRACKER INTERFACE */
//
//
/// * Constructor functions and data for specific BlobTRackerAuto modules: */
//
/// * Parameters of blobtracker auto ver1: */
// struct CvBlobTrackerAutoParam1
// {
// int FGTrainFrames; /* Number of frames needed for FG (foreground) detector to train. */
//
// CvFGDetector* pFG; /* FGDetector module. If this field is NULL the Process FG mask is used. */
//
// CvBlobDetector* pBD; /* Selected blob detector module. */
// /* If this field is NULL default blobdetector module will be created. */
//
// CvBlobTracker* pBT; /* Selected blob tracking module. */
// /* If this field is NULL default blobtracker module will be created. */
//
// CvBlobTrackGen* pBTGen; /* Selected blob trajectory generator. */
// /* If this field is NULL no generator is used. */
//
// CvBlobTrackPostProc* pBTPP; /* Selected blob trajectory postprocessing module. */
// /* If this field is NULL no postprocessing is done. */
//
// int UsePPData;
//
// CvBlobTrackAnalysis* pBTA; /* Selected blob trajectory analysis module. */
// /* If this field is NULL no track analysis is done. */
// };
//
/// * Create blob tracker auto ver1: */
// CV_EXPORTS CvBlobTrackerAuto* cvCreateBlobTrackerAuto1(CvBlobTrackerAutoParam1* param = NULL);
//
/// * Simple loader for many auto trackers by its type : */
// inline CvBlobTrackerAuto* cvCreateBlobTrackerAuto(int type, void* param)
// {
// if(type == 0) return cvCreateBlobTrackerAuto1((CvBlobTrackerAutoParam1*)param);
// return 0;
// }
//
//
//
// struct CvTracksTimePos
// {
// int len1,len2;
// int beg1,beg2;
// int end1,end2;
// int comLen; //common length for two tracks
// int shift1,shift2;
// };
//
/// *CV_EXPORTS int cvCompareTracks( CvBlobTrackSeq *groundTruth,
// CvBlobTrackSeq *result,
// FILE *file);*/
//
//
/// * Constructor functions: */
//
// CV_EXPORTS void cvCreateTracks_One(CvBlobTrackSeq *TS);
// CV_EXPORTS void cvCreateTracks_Same(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2);
// CV_EXPORTS void cvCreateTracks_AreaErr(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2, int addW, int addH);
//
//
/// * HIST API */
// class CV_EXPORTS CvProb
// {
// public:
// virtual ~CvProb() {};
//
// /* Calculate probability value: */
// virtual double Value(int* /*comp*/, int /*x*/ = 0, int /*y*/ = 0){return -1;};
//
// /* Update histograpp Pnew = (1-W)*Pold + W*Padd*/
// /* W weight of new added prob */
// /* comps - matrix of new fetature vectors used to update prob */
// virtual void AddFeature(float W, int* comps, int x =0, int y = 0) = 0;
// virtual void Scale(float factor = 0, int x = -1, int y = -1) = 0;
// virtual void Release() = 0;
// };
// inline void cvReleaseProb(CvProb** ppProb){ppProb[0]->Release();ppProb[0]=NULL;}
/// * HIST API */
//
/// * Some Prob: */
// CV_EXPORTS CvProb* cvCreateProbS(int dim, CvSize size, int sample_num);
// CV_EXPORTS CvProb* cvCreateProbMG(int dim, CvSize size, int sample_num);
// CV_EXPORTS CvProb* cvCreateProbMG2(int dim, CvSize size, int sample_num);
// CV_EXPORTS CvProb* cvCreateProbHist(int dim, CvSize size);
//
// #define CV_BT_HIST_TYPE_S 0
// #define CV_BT_HIST_TYPE_MG 1
// #define CV_BT_HIST_TYPE_MG2 2
// #define CV_BT_HIST_TYPE_H 3
// inline CvProb* cvCreateProb(int type, int dim, CvSize size = cvSize(1,1), void* /*param*/ = NULL)
// {
// if(type == CV_BT_HIST_TYPE_S) return cvCreateProbS(dim, size, -1);
// if(type == CV_BT_HIST_TYPE_MG) return cvCreateProbMG(dim, size, -1);
// if(type == CV_BT_HIST_TYPE_MG2) return cvCreateProbMG2(dim, size, -1);
// if(type == CV_BT_HIST_TYPE_H) return cvCreateProbHist(dim, size);
// return NULL;
// }
//
//
//
/// * Noise type definitions: */
// #define CV_NOISE_NONE 0
// #define CV_NOISE_GAUSSIAN 1
// #define CV_NOISE_UNIFORM 2
// #define CV_NOISE_SPECKLE 3
// #define CV_NOISE_SALT_AND_PEPPER 4
//
/// * Add some noise to image: */
/// * pImg - (input) image without noise */
/// * pImg - (output) image with noise */
/// * noise_type - type of added noise */
/// * CV_NOISE_GAUSSIAN - pImg += n , n - is gaussian noise with Ampl standart deviation */
/// * CV_NOISE_UNIFORM - pImg += n , n - is uniform noise with Ampl standart deviation */
/// * CV_NOISE_SPECKLE - pImg += n*pImg , n - is gaussian noise with Ampl standart deviation */
/// * CV_NOISE_SALT_AND_PAPPER - pImg = pImg with blacked and whited pixels,
// Ampl is density of brocken pixels (0-there are not broken pixels, 1 - all pixels are broken)*/
/// * Ampl - "amplitude" of noise */
/// /CV_EXPORTS void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRNG* rnd_state = NULL);
//
/// *================== GENERATOR OF TEST VIDEO SEQUENCE ===================== */
// typedef void CvTestSeq;
//
/// * pConfigfile - Name of file (yml or xml) with description of test sequence */
/// * videos - array of names of test videos described in "pConfigfile" file */
/// * numvideos - size of "videos" array */
// CV_EXPORTS CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale = 1, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
// CV_EXPORTS void cvReleaseTestSeq(CvTestSeq** ppTestSeq);
//
/// * Generate next frame from test video seq and return pointer to it: */
// CV_EXPORTS IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq);
//
/// * Return pointer to current foreground mask: */
// CV_EXPORTS IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq);
//
/// * Return pointer to current image: */
// CV_EXPORTS IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq);
//
/// * Return frame size of result test video: */
// CV_EXPORTS CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq);
//
/// * Return number of frames result test video: */
// CV_EXPORTS int cvTestSeqFrameNum(CvTestSeq* pTestSeq);
//
/// * Return number of existing objects.
// * This is general number of any objects.
// * For example number of trajectories may be equal or less than returned value:
// */
// CV_EXPORTS int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq);
//
/// * Return 0 if there is not position for current defined on current frame */
/// * Return 1 if there is object position and pPos was filled */
// CV_EXPORTS int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos);
// CV_EXPORTS int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize);
//
/// * Add noise to final image: */
// CV_EXPORTS void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
//
/// * Add Intensity variation: */
// CV_EXPORTS void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI);
// CV_EXPORTS void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n);
//
// #endif
implementation
Uses System.SysUtils, enteringblobdetection;
{ TCvVSModule }
procedure TCvVSModule.AddParam(const name: pCvChar; pAddr: pInteger);
begin
NewParam(name)^.pInt := pAddr;
end;
procedure TCvVSModule.AddParam(const name: pCvChar; pAddr: pCvChar);
var
pp: pCvDefParam;
p: pCvChar;
begin
pp := NewParam(name);
if Assigned(pAddr) then
p := pAddr
else
p := nil;
if Assigned(pAddr) then
pp^.pStr := @pAddr
else
pp^.pStr := @pp^.Str;
if Assigned(p) then
begin
pp^.Str := strdup(p);
pp^.pStr := @pp^.Str;
end;
end;
procedure TCvVSModule.AddParam(const name: pCvChar; pAddr: pSingle);
begin
NewParam(name)^.pFloat := pAddr;
end;
procedure TCvVSModule.AddParam(const name: pCvChar; pAddr: pDouble);
begin
NewParam(name)^.pDouble := pAddr;
end;
procedure TCvVSModule.AddParam(const name: pCvChar);
var
p: pCvDefParam;
begin
p := NewParam(name);
p^.pDouble := @p^.Double;
end;
procedure TCvVSModule.CommentParam(const name, pComment: pCvChar);
var
p: pCvDefParam;
begin
if Assigned(p) then
if Assigned(pComment) then
p^.pComment := strdup(pComment)
else
p^.pComment := nil;
end;
constructor TCvVSModule.Create;
begin
inherited;
m_pNickName := nil;
m_pParamList := nil;
m_pModuleTypeName := nil;
m_pModuleName := nil;
m_Wnd := 0;
AddParam('DebugWnd', pInteger(@m_Wnd));
end;
procedure TCvVSModule.DelParam(const name: pCvChar);
Var
p: pCvDefParam;
pPrev: pCvDefParam;
begin
p := m_pParamList;
pPrev := NiL;
while Assigned(p) do
begin
if cv_stricmp(p^.pName, name) = 0 then
break;
pPrev := p;
p := p^.next;
end;
if Assigned(p) then
begin
if Assigned(pPrev) then
begin
pPrev^.next := p^.next;
end
else
begin
m_pParamList := p^.next;
end;
FreeParam(p);
end;
end;
destructor TCvVSModule.Destroy;
Var
p: pCvDefParam;
pf: pCvDefParam;
begin
p := m_pParamList;
while Assigned(p) do
begin
pf := p;
p := p^.next;
FreeParam(pf);
end;
m_pParamList := Nil;
if Assigned(m_pModuleTypeName) then
freemem(m_pModuleTypeName);
if Assigned(m_pModuleName) then
freemem(m_pModuleName);
inherited;
end;
procedure TCvVSModule.FreeParam(var pp: pCvDefParam);
begin
if Assigned(pp^.pName) then
freemem(pp^.pName);
if Assigned(pp^.pComment) then
freemem(pp^.pComment);
cvFree(pp);
end;
function TCvVSModule.GetModuleName: pCvChar;
begin
Result := m_pModuleName;
end;
function TCvVSModule.GetNickName: pCvChar;
Const
unknown: pCvChar = 'unknown';
begin
Result := iif(Assigned(m_pNickName), m_pNickName, unknown);
end;
function TCvVSModule.GetParam(const name: pCvChar): Double;
Var
p: pCvDefParam;
begin
p := GetParamPtr(name);
if Assigned(p) then
begin
if Assigned(p^.pDouble) then
Exit(p^.pDouble[0]);
if Assigned(p^.pFloat) then
Exit(p^.pFloat[0]);
if Assigned(p^.pInt) then
Exit(p^.pInt[0]);
end
else
Result := 0;
end;
function TCvVSModule.GetParamComment(const name: pCvChar): pCvChar;
Var
p: pCvDefParam;
begin
p := GetParamPtr(name);
if Assigned(p) and Assigned(p^.pComment) then
Exit(p^.pComment)
else
Exit(nil);
end;
function TCvVSModule.GetParamName(index: Integer): pCvChar;
Var
p: pCvDefParam;
begin
p := GetParamPtr(index);
Result := iif(Assigned(p), p^.pName, nil);
end;
function TCvVSModule.GetParamPtr(index: Integer): pCvDefParam;
Var
p: pCvDefParam;
begin
p := m_pParamList;
while (index > 0) and Assigned(p) do
begin
Dec(index);
p := p^.next;
end;
Result := p;
end;
function TCvVSModule.GetParamPtr(const name: pCvChar): pCvDefParam;
Var
p: pCvDefParam;
begin
p := m_pParamList;
while Assigned(p) do
begin
if cv_stricmp(p^.pName, name) = 0 then
break;
p := p^.next;
end;
Result := p;
end;
function TCvVSModule.GetParamStr(const name: pCvChar): pCvChar;
Var
p: pCvDefParam;
begin
p := GetParamPtr(name);
Result := iif(Assigned(p), p^.Str, nil);
end;
function TCvVSModule.GetTypeName: pCvChar;
begin
Result := m_pModuleTypeName;
end;
function TCvVSModule.IsModuleName(const name: pCvChar): Integer;
begin
Result := iif(Assigned(m_pModuleName), (cv_stricmp(m_pModuleName, name) = 0), 0);
end;
function TCvVSModule.IsModuleTypeName(const name: pCvChar): Integer;
begin
Result := iif(Assigned(m_pModuleTypeName), (cv_stricmp(m_pModuleTypeName, name) = 0), 0);
end;
function TCvVSModule.IsParam(const name: pCvChar): Integer;
begin
Result := iif(Assigned(GetParamPtr(name)), 1, 0);
end;
procedure TCvVSModule.LoadState(FileStorage: pCvFileStorage; FileNode: pCvFileNode);
begin
end;
function TCvVSModule.NewParam(const name: pCvChar): pCvDefParam;
Var
pNew: pCvDefParam;
p: pCvDefParam;
begin
pNew := { (CvDefParam*) } cvAlloc(sizeof(TCvDefParam));
ZeroMemory(pNew, sizeof(TCvDefParam));
pNew^.pName := strdup(name);
if (m_pParamList = NiL) then
m_pParamList := pNew
else
begin
p := m_pParamList;
while Assigned(p^.next) do
begin
p^.next := pNew;
p := p^.next;
end;
end;
Result := pNew;
end;
procedure TCvVSModule.ParamUpdate;
begin
end;
procedure TCvVSModule.SaveState(FileStorage: pCvFileStorage);
begin
end;
procedure TCvVSModule.SetModuleName(const name: pCvChar);
begin
m_pModuleName := strdup(name);
end;
procedure TCvVSModule.SetNickName(const pStr: pCvChar);
begin
if Assigned(m_pNickName) then
freemem(m_pNickName);
m_pNickName := NiL;
if Assigned(pStr) then
m_pNickName := strdup(pStr);
end;
procedure TCvVSModule.SetParam(const name: pCvChar; val: Double);
var
p: pCvDefParam;
begin
p := m_pParamList;
while Assigned(p) do
begin
if (cv_stricmp(p^.pName, name) <> 0) then
continue;
if Assigned(p^.pDouble) then
p^.pDouble[0] := val;
if Assigned(p^.pFloat) then
p^.pFloat[0] := val;
if Assigned(p^.pInt) then
p^.pInt[0] := cvRound(val);
p := p^.next
end;
end;
procedure TCvVSModule.SetParamStr(const name, Str: pCvChar);
var
p: pCvDefParam;
begin
p := m_pParamList;
while Assigned(p) do
begin
if (cv_stricmp(p^.pName, name) <> 0) then
continue;
if Assigned(p^.pStr) then
begin
if Assigned(p^.Str) then
freemem(p^.Str);
p^.Str := NiL;
if Assigned(Str) then
p^.Str := strdup(Str);
p^.pStr[0] := p^.Str;
end;
p := p^.next;
end;
// * Convert to double and set: */
if Assigned(Str) then
SetParam(name, StrToFloat(Str));
end;
procedure TCvVSModule.SetTypeName(const name: pCvChar);
begin
m_pModuleTypeName := strdup(name);
end;
procedure TCvVSModule.TransferParamsFromChild(pM: TCvVSModule; const prefix: pCvChar);
Var
tmp: pCvChar;
FN: pCvChar;
i: Integer;
N: pCvChar;
val: pCvChar;
dval: Double;
begin
FN := Nil;
i := 0;
while True do
begin
N := pM.GetParamName(i);
if (N = nil) then
break;
FN := N;
if Assigned(prefix) then
begin
strcpy(tmp, prefix);
strcat(tmp, '_');
FN := strcat(tmp, N);
end;
if IsParam(FN) = 0 then
begin
if Assigned(pM.GetParamStr(N)) then
begin
AddParam(FN, pCvChar(nil));
end
else
begin
AddParam(FN);
end;
end;
if Assigned(pM.GetParamStr(N)) then
begin
val := pM.GetParamStr(N);
SetParamStr(FN, val);
end
else
begin
dval := pM.GetParam(N);
SetParam(FN, dval);
end;
CommentParam(FN, pM.GetParamComment(N));
inc(i);
end; // * transfer next param */
end;
procedure TCvVSModule.TransferParamsToChild(pM: TCvVSModule; prefix: pCvChar);
Var
tmp: pCvChar;
i: Integer;
N: pCvChar;
begin
i := 0;
while True do
begin
N := pM.GetParamName(i);
if (N = nil) then
break;
if Assigned(prefix) then
begin
strcpy(tmp, prefix);
strcat(tmp, '_');
strcat(tmp, N);
end
else
begin
strcpy(tmp, N);
end;
if IsParam(tmp) <> 0 then
begin
if Assigned(GetParamStr(tmp)) then
pM.SetParamStr(N, GetParamStr(tmp))
else
pM.SetParam(N, GetParam(tmp));
end;
inc(i);
end; // * Transfer next parameter */
pM.ParamUpdate();
end;
{ TCvFGDetector }
constructor TCvFGDetector.Create;
begin
inherited;
SetTypeName('FGDetector');
end;
{ TCvBlobDetector }
constructor TCvBlobDetector.Craete;
begin
SetTypeName('BlobDetector');
end;
{ TCvBlobSeq }
procedure TCvBlobSeq.AddBlob(pB: pCvBlob);
begin
cvSeqPush(m_pSeq, pB);
end;
procedure TCvBlobSeq.AddFormat(const Str: pCvChar);
begin
strcat(m_pElemFormat, Str);
end;
procedure TCvBlobSeq.Clear;
begin
cvClearSeq(m_pSeq);
end;
constructor TCvBlobSeq.Create(BlobSize: Integer);
begin
m_pMem := cvCreateMemStorage();
m_pSeq := cvCreateSeq(0, sizeof(TCvSeq), BlobSize, m_pMem);
m_pElemFormat := 'ffffi';
end;
procedure TCvBlobSeq.DelBlob(BlobIndex: Integer);
begin
cvSeqRemove(m_pSeq, BlobIndex);
end;
procedure TCvBlobSeq.DelBlobByID(BlobID: Integer);
Var
i: Integer;
begin
for i := 0 to m_pSeq^.total - 1 do
if (BlobID = CV_BLOB_ID(GetBlob(i))) then
begin
DelBlob(i);
Exit;
end;
end;
destructor TCvBlobSeq.Destroy;
begin
cvReleaseMemStorage(m_pMem);
inherited;
end;
function TCvBlobSeq.GetBlob(BlobIndex: Integer): pCvBlob;
begin
Result := pCvBlob(cvGetSeqElem(m_pSeq, BlobIndex));
end;
function TCvBlobSeq.GetBlobByID(BlobID: Integer): pCvBlob;
Var
i: Integer;
begin
for i := 0 to m_pSeq^.total - 1 do
if (BlobID = CV_BLOB_ID(GetBlob(i))) then
Exit(GetBlob(i));
Result := Nil;
end;
function TCvBlobSeq.GetBlobNum: Integer;
begin
Result := m_pSeq^.total;
end;
procedure TCvBlobSeq.Load(fs: pCvFileStorage; node: pCvFileNode);
Var
pSeq: pCvSeq;
i: Integer;
pB: Pointer;
begin
if (fs = NiL) then
Exit;
pSeq := pCvSeq(cvRead(fs, node));
if Assigned(pSeq) then
begin
cvClearSeq(m_pSeq);
for i := 0 to pSeq^.total - 1 do
begin
pB := cvGetSeqElem(pSeq, i);
cvSeqPush(m_pSeq, pB);
end
end;
end;
procedure TCvBlobSeq.Write(fs: pCvFileStorage; const name: pCvChar);
Var
attr: array [0 .. 2] of pCvChar;
begin
attr[0] := 'dt';
strcpy(attr[1], m_pElemFormat);
attr[2] := nil;
if Assigned(fs) then
cvWrite(fs, name, m_pSeq, cvAttrList(@attr, NiL));
end;
function CV_BLOB_ID(pB: pCvBlob): Integer; inline;
begin
Result := pB^.ID;
end;
{ TCvObjectDetector }
constructor TCvObjectDetector.Create(const detector_file_name: pCvChar);
begin
end;
destructor TCvObjectDetector.Destroy;
begin
inherited;
end;
procedure TCvObjectDetector.Detect(const img: pCvArr; out detected_blob_seq: TCvBlobSeq);
begin
end;
function TCvObjectDetector.GetMaxBorderSize: Integer;
begin
Result := 0;
end;
function TCvObjectDetector.GetMinWindowSize: TCvSize;
begin
Result := cvSize(0, 0);
end;
function TCvObjectDetector.Load(const detector_file_name: pCvChar): boolean;
begin
Result := false;
end;
function cvBlob(x, y, w, h: Single): TCvBlob; inline;
begin
Result.x := x;
Result.y := y;
Result.w := w;
Result.h := h;
end;
function CV_BLOB_RX(pB: pCvBlob): Single; inline;
begin
Result := 0.5 * CV_BLOB_WX(pB);
end;
function CV_BLOB_WX(pB: pCvBlob): Single; inline;
begin
Result := pB^.w;
end;
function CV_BLOB_Y(pB: pCvBlob): Single; inline;
begin
Result := pB^.y;
end;
function CV_BLOB_WY(pB: pCvBlob): Single; inline;
begin
Result := pB^.h;
end;
function CV_BLOB_RY(pB: pCvBlob): Single; inline;
begin
Result := 0.5 * CV_BLOB_WY(pB);
end;
function CV_BLOB_X(pB: pCvBlob): Single; inline;
begin
Result := pB^.x;
end;
function cvCreateBlobDetectorCC(): TCvBlobDetector;
begin
Result := TCvBlobDetectorCC.Create;
end;
function cvCreateBlobDetectorSimple(): TCvBlobDetector;
begin
Result := TCvBlobDetectorSimple.Create;
end;
end.
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