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moved some old stuff to the legacy module; merge "compat_c.h" headers and moved to the legacy as well. moved implementation of many non-critical/obsolete inline functions and methods to .cpp to improve Opencv build time

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This commit is contained in:
Vadim Pisarevsky 2010-11-26 17:58:20 +00:00
parent fbdb4f4ab5
commit 54ef4c08c2
32 changed files with 1661 additions and 1289 deletions
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2
modules/calib3d/include/opencv2/calib3d/calib3d.hpp
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@ -745,6 +745,4 @@ CV_EXPORTS_W void reprojectImageTo3D( const Mat& disparity,
#endif
#include "opencv2/calib3d/compat_c.h"
#endif

286
modules/calib3d/include/opencv2/calib3d/compat_c.h
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@ -1,286 +0,0 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// 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.
//
//M*/
#ifndef __OPENCV_CALIB3D_COMPAT_C_H__
#define __OPENCV_CALIB3D_COMPAT_C_H__
#include "opencv2/imgproc/imgproc_c.h"
#ifdef __cplusplus
extern "C" {
#endif
#if !defined __cplusplus && defined _MSC_VER && _MSC_VER >= 1400
#pragma warning(push)
#pragma warning(disable: 4100)
#endif
/* Find fundamental matrix */
CV_INLINE void cvFindFundamentalMatrix( int* points1, int* points2,
int numpoints, int CV_UNREFERENCED(method), float* matrix )
{
CvMat* pointsMat1;
CvMat* pointsMat2;
CvMat fundMatr = cvMat(3,3,CV_32F,matrix);
int i, curr = 0;
pointsMat1 = cvCreateMat(3,numpoints,CV_64F);
pointsMat2 = cvCreateMat(3,numpoints,CV_64F);
for( i = 0; i < numpoints; i++ )
{
cvmSet(pointsMat1,0,i,points1[curr]);//x
cvmSet(pointsMat1,1,i,points1[curr+1]);//y
cvmSet(pointsMat1,2,i,1.0);
cvmSet(pointsMat2,0,i,points2[curr]);//x
cvmSet(pointsMat2,1,i,points2[curr+1]);//y
cvmSet(pointsMat2,2,i,1.0);
curr += 2;
}
cvFindFundamentalMat(pointsMat1,pointsMat2,&fundMatr,CV_FM_RANSAC,1,0.99,0);
cvReleaseMat(&pointsMat1);
cvReleaseMat(&pointsMat2);
}
CV_INLINE int
cvFindChessBoardCornerGuesses( const void* arr, void* CV_UNREFERENCED(thresharr),
CvMemStorage * CV_UNREFERENCED(storage),
CvSize pattern_size, CvPoint2D32f * corners,
int *corner_count )
{
return cvFindChessboardCorners( arr, pattern_size, corners,
corner_count, CV_CALIB_CB_ADAPTIVE_THRESH );
}
/* Calibrates camera using multiple views of calibration pattern */
CV_INLINE void cvCalibrateCamera( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D32f* _image_points, CvPoint3D32f* _object_points,
float* _distortion_coeffs, float* _camera_matrix, float* _translation_vectors,
float* _rotation_matrices, int flags )
{
int i, total = 0;
CvMat point_counts = cvMat( image_count, 1, CV_32SC1, _point_counts );
CvMat image_points, object_points;
CvMat dist_coeffs = cvMat( 4, 1, CV_32FC1, _distortion_coeffs );
CvMat camera_matrix = cvMat( 3, 3, CV_32FC1, _camera_matrix );
CvMat rotation_matrices = cvMat( image_count, 9, CV_32FC1, _rotation_matrices );
CvMat translation_vectors = cvMat( image_count, 3, CV_32FC1, _translation_vectors );
for( i = 0; i < image_count; i++ )
total += _point_counts[i];
image_points = cvMat( total, 1, CV_32FC2, _image_points );
object_points = cvMat( total, 1, CV_32FC3, _object_points );
cvCalibrateCamera2( &object_points, &image_points, &point_counts, image_size,
&camera_matrix, &dist_coeffs, &rotation_matrices, &translation_vectors,
flags );
}
CV_INLINE void cvCalibrateCamera_64d( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D64f* _image_points, CvPoint3D64f* _object_points,
double* _distortion_coeffs, double* _camera_matrix, double* _translation_vectors,
double* _rotation_matrices, int flags )
{
int i, total = 0;
CvMat point_counts = cvMat( image_count, 1, CV_32SC1, _point_counts );
CvMat image_points, object_points;
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion_coeffs );
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, _camera_matrix );
CvMat rotation_matrices = cvMat( image_count, 9, CV_64FC1, _rotation_matrices );
CvMat translation_vectors = cvMat( image_count, 3, CV_64FC1, _translation_vectors );
for( i = 0; i < image_count; i++ )
total += _point_counts[i];
image_points = cvMat( total, 1, CV_64FC2, _image_points );
object_points = cvMat( total, 1, CV_64FC3, _object_points );
cvCalibrateCamera2( &object_points, &image_points, &point_counts, image_size,
&camera_matrix, &dist_coeffs, &rotation_matrices, &translation_vectors,
flags );
}
/* Find 3d position of object given intrinsic camera parameters,
3d model of the object and projection of the object into view plane */
CV_INLINE void cvFindExtrinsicCameraParams( int point_count,
CvSize CV_UNREFERENCED(image_size), CvPoint2D32f* _image_points,
CvPoint3D32f* _object_points, float* focal_length,
CvPoint2D32f principal_point, float* _distortion_coeffs,
float* _rotation_vector, float* _translation_vector )
{
CvMat image_points = cvMat( point_count, 1, CV_32FC2, _image_points );
CvMat object_points = cvMat( point_count, 1, CV_32FC3, _object_points );
CvMat dist_coeffs = cvMat( 4, 1, CV_32FC1, _distortion_coeffs );
float a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_32FC1, a );
CvMat rotation_vector = cvMat( 1, 1, CV_32FC3, _rotation_vector );
CvMat translation_vector = cvMat( 1, 1, CV_32FC3, _translation_vector );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.f;
a[8] = 1.f;
cvFindExtrinsicCameraParams2( &object_points, &image_points, &camera_matrix,
&dist_coeffs, &rotation_vector, &translation_vector, 0 );
}
/* Variant of the previous function that takes double-precision parameters */
CV_INLINE void cvFindExtrinsicCameraParams_64d( int point_count,
CvSize CV_UNREFERENCED(image_size), CvPoint2D64f* _image_points,
CvPoint3D64f* _object_points, double* focal_length,
CvPoint2D64f principal_point, double* _distortion_coeffs,
double* _rotation_vector, double* _translation_vector )
{
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion_coeffs );
double a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, a );
CvMat rotation_vector = cvMat( 1, 1, CV_64FC3, _rotation_vector );
CvMat translation_vector = cvMat( 1, 1, CV_64FC3, _translation_vector );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.;
a[8] = 1.;
cvFindExtrinsicCameraParams2( &object_points, &image_points, &camera_matrix,
&dist_coeffs, &rotation_vector, &translation_vector, 0 );
}
/* Rodrigues transform */
#define CV_RODRIGUES_M2V 0
#define CV_RODRIGUES_V2M 1
/* Converts rotation_matrix matrix to rotation_matrix vector or vice versa */
CV_INLINE void cvRodrigues( CvMat* rotation_matrix, CvMat* rotation_vector,
CvMat* jacobian, int conv_type )
{
if( conv_type == CV_RODRIGUES_V2M )
cvRodrigues2( rotation_vector, rotation_matrix, jacobian );
else
cvRodrigues2( rotation_matrix, rotation_vector, jacobian );
}
/* Does reprojection of 3d object points to the view plane */
CV_INLINE void cvProjectPoints( int point_count, CvPoint3D64f* _object_points,
double* _rotation_vector, double* _translation_vector,
double* focal_length, CvPoint2D64f principal_point,
double* _distortion, CvPoint2D64f* _image_points,
double* _deriv_points_rotation_matrix,
double* _deriv_points_translation_vect,
double* _deriv_points_focal,
double* _deriv_points_principal_point,
double* _deriv_points_distortion_coeffs )
{
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat rotation_vector = cvMat( 3, 1, CV_64FC1, _rotation_vector );
CvMat translation_vector = cvMat( 3, 1, CV_64FC1, _translation_vector );
double a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, a );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion );
CvMat dpdr = cvMat( 2*point_count, 3, CV_64FC1, _deriv_points_rotation_matrix );
CvMat dpdt = cvMat( 2*point_count, 3, CV_64FC1, _deriv_points_translation_vect );
CvMat dpdf = cvMat( 2*point_count, 2, CV_64FC1, _deriv_points_focal );
CvMat dpdc = cvMat( 2*point_count, 2, CV_64FC1, _deriv_points_principal_point );
CvMat dpdk = cvMat( 2*point_count, 4, CV_64FC1, _deriv_points_distortion_coeffs );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.;
a[8] = 1.;
cvProjectPoints2( &object_points, &rotation_vector, &translation_vector,
&camera_matrix, &dist_coeffs, &image_points,
&dpdr, &dpdt, &dpdf, &dpdc, &dpdk, 0 );
}
/* Simpler version of the previous function */
CV_INLINE void cvProjectPointsSimple( int point_count, CvPoint3D64f* _object_points,
double* _rotation_matrix, double* _translation_vector,
double* _camera_matrix, double* _distortion, CvPoint2D64f* _image_points )
{
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat rotation_matrix = cvMat( 3, 3, CV_64FC1, _rotation_matrix );
CvMat translation_vector = cvMat( 3, 1, CV_64FC1, _translation_vector );
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, _camera_matrix );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion );
cvProjectPoints2( &object_points, &rotation_matrix, &translation_vector,
&camera_matrix, &dist_coeffs, &image_points,
0, 0, 0, 0, 0, 0 );
}
#define cvMake2DPoints cvConvertPointsHomogeneous
#define cvMake3DPoints cvConvertPointsHomogeneous
#define cvWarpPerspectiveQMatrix cvGetPerspectiveTransform
#define cvConvertPointsHomogenious cvConvertPointsHomogeneous
#if !defined __cplusplus && defined _MSC_VER && _MSC_VER >= 1400
#pragma warning(pop)
#endif
#ifdef __cplusplus
}
#endif
#endif

2
modules/imgproc/include/opencv2/imgproc/imgproc_c.h
View File

@ -780,6 +780,4 @@ CVAPI(void) cvLSHQuery(struct CvLSH* lsh, const CvMat* query_points,
}
#endif
#include "opencv2/imgproc/compat_c.h"
#endif

535
modules/video/include/opencv2/video/blobtrack.hpp → modules/legacy/include/opencv2/legacy/blobtrack.hpp
View File

@ -46,6 +46,7 @@
/* Turn off the functionality until cvaux/src/Makefile.am gets updated: */
//#if _MSC_VER >= 1200
#include "opencv2/core/core_c.h"
#include <stdio.h>
#if _MSC_VER >= 1200 || defined __BORLANDC__
@ -88,343 +89,63 @@ private: /* Internal data: */
protected:
int m_Wnd;
public: /* Constructor and destructor: */
CvVSModule()
{
m_pNickName = NULL;
m_pParamList = NULL;
m_pModuleTypeName = NULL;
m_pModuleName = NULL;
m_Wnd = 0;
AddParam("DebugWnd",&m_Wnd);
}
virtual ~CvVSModule()
{
CvDefParam* p = m_pParamList;
for(;p;)
{
CvDefParam* pf = p;
p=p->next;
FreeParam(&pf);
}
m_pParamList=NULL;
if(m_pModuleTypeName)free(m_pModuleTypeName);
if(m_pModuleName)free(m_pModuleName);
}
CvVSModule();
virtual ~CvVSModule();
private: /* Internal functions: */
void FreeParam(CvDefParam** pp)
{
CvDefParam* p = pp[0];
if(p->Str)free(p->Str);
if(p->pName)free(p->pName);
if(p->pComment)free(p->pComment);
cvFree(pp);
}
CvDefParam* NewParam(const char* name)
{
CvDefParam* pNew = (CvDefParam*)cvAlloc(sizeof(CvDefParam));
memset(pNew,0,sizeof(CvDefParam));
pNew->pName = strdup(name);
if(m_pParamList==NULL)
{
m_pParamList = pNew;
}
else
{
CvDefParam* p = m_pParamList;
for(;p->next;p=p->next) ;
p->next = pNew;
}
return pNew;
};
CvDefParam* GetParamPtr(int index)
{
CvDefParam* p = m_pParamList;
for(;index>0 && p;index--,p=p->next) ;
return p;
}
CvDefParam* GetParamPtr(const char* name)
{
CvDefParam* p = m_pParamList;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name)==0) break;
}
return p;
}
void FreeParam(CvDefParam** pp);
CvDefParam* NewParam(const char* name);
CvDefParam* GetParamPtr(int index);
CvDefParam* GetParamPtr(const char* name);
protected: /* INTERNAL INTERFACE */
int IsParam(const char* name)
{
return GetParamPtr(name)?1:0;
};
void AddParam(const char* name, double* pAddr)
{
NewParam(name)->pDouble = pAddr;
};
void AddParam(const char* name, float* pAddr)
{
NewParam(name)->pFloat=pAddr;
};
void AddParam(const char* name, int* pAddr)
{
NewParam(name)->pInt=pAddr;
};
void AddParam(const char* name, const char** pAddr)
{
CvDefParam* pP = NewParam(name);
const char* p = pAddr?pAddr[0]:NULL;
pP->pStr = pAddr?(char**)pAddr:&(pP->Str);
if(p)
{
pP->Str = strdup(p);
pP->pStr[0] = pP->Str;
}
};
void AddParam(const char* name)
{
CvDefParam* p = NewParam(name);
p->pDouble = &p->Double;
};
void CommentParam(const char* name, const char* pComment)
{
CvDefParam* p = GetParamPtr(name);
if(p)p->pComment = pComment ? strdup(pComment) : 0;
};
void SetTypeName(const char* name){m_pModuleTypeName = strdup(name);}
void SetModuleName(const char* name){m_pModuleName = strdup(name);}
void DelParam(const char* name)
{
CvDefParam* p = m_pParamList;
CvDefParam* pPrev = NULL;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name)==0) break;
pPrev = p;
}
if(p)
{
if(pPrev)
{
pPrev->next = p->next;
}
else
{
m_pParamList = p->next;
}
FreeParam(&p);
}
}/* DelParam */
int IsParam(const char* name);
void AddParam(const char* name, double* pAddr);
void AddParam(const char* name, float* pAddr);
void AddParam(const char* name, int* pAddr);
void AddParam(const char* name, const char** pAddr);
void AddParam(const char* name);
void CommentParam(const char* name, const char* pComment);
void SetTypeName(const char* name);
void SetModuleName(const char* name);
void DelParam(const char* name);
public: /* EXTERNAL INTERFACE */
const char* GetParamName(int index)
{
CvDefParam* p = GetParamPtr(index);
return p?p->pName:NULL;
}
const char* GetParamComment(const char* name)
{
CvDefParam* p = GetParamPtr(name);
if(p && p->pComment) return p->pComment;
return NULL;
}
double GetParam(const char* name)
{
CvDefParam* p = GetParamPtr(name);
if(p)
{
if(p->pDouble) return p->pDouble[0];
if(p->pFloat) return p->pFloat[0];
if(p->pInt) return p->pInt[0];
}
return 0;
};
const char* GetParamStr(const char* name)
{
CvDefParam* p = GetParamPtr(name);
return p?p->Str:NULL;
}
void SetParam(const char* name, double val)
{
CvDefParam* p = m_pParamList;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name) != 0) continue;
if(p->pDouble)p->pDouble[0] = val;
if(p->pFloat)p->pFloat[0] = (float)val;
if(p->pInt)p->pInt[0] = cvRound(val);
}
}
void SetParamStr(const char* name, const char* str)
{
CvDefParam* p = m_pParamList;
for(; p; p=p->next)
{
if(cv_stricmp(p->pName,name) != 0) continue;
if(p->pStr)
{
if(p->Str)free(p->Str);
p->Str = NULL;
if(str)p->Str = strdup(str);
p->pStr[0] = p->Str;
}
}
/* Convert to double and set: */
if(str) SetParam(name,atof(str));
}
void TransferParamsFromChild(CvVSModule* pM, const char* prefix = NULL)
{
char tmp[1024];
const char* FN = NULL;
int i;
for(i=0;;++i)
{
const char* N = pM->GetParamName(i);
if(N == NULL) break;
FN = N;
if(prefix)
{
strcpy(tmp,prefix);
strcat(tmp,"_");
FN = strcat(tmp,N);
}
if(!IsParam(FN))
{
if(pM->GetParamStr(N))
{
AddParam(FN,(const char**)NULL);
}
else
{
AddParam(FN);
}
}
if(pM->GetParamStr(N))
{
const char* val = pM->GetParamStr(N);
SetParamStr(FN,val);
}
else
{
double val = pM->GetParam(N);
SetParam(FN,val);
}
CommentParam(FN, pM->GetParamComment(N));
}/* transfer next param */
}/* Transfer params */
void TransferParamsToChild(CvVSModule* pM, char* prefix = NULL)
{
char tmp[1024];
int i;
for(i=0;;++i)
{
const char* N = pM->GetParamName(i);
if(N == NULL) break;
if(prefix)
{
strcpy(tmp,prefix);
strcat(tmp,"_");
strcat(tmp,N);
}
else
{
strcpy(tmp,N);
}
if(IsParam(tmp))
{
if(GetParamStr(tmp))
pM->SetParamStr(N,GetParamStr(tmp));
else
pM->SetParam(N,GetParam(tmp));
}
}/* Transfer next parameter */
pM->ParamUpdate();
}/* Transfer params */
virtual void ParamUpdate(){};
const char* GetTypeName()
{
return m_pModuleTypeName;
}
int IsModuleTypeName(const char* name)
{
return m_pModuleTypeName?(cv_stricmp(m_pModuleTypeName,name)==0):0;
}
char* GetModuleName()
{
return m_pModuleName;
}
int IsModuleName(const char* name)
{
return m_pModuleName?(cv_stricmp(m_pModuleName,name)==0):0;
}
void SetNickName(const char* pStr)
{
if(m_pNickName)
free(m_pNickName);
m_pNickName = NULL;
if(pStr)
m_pNickName = strdup(pStr);
}
const char* GetNickName()
{
return m_pNickName ? m_pNickName : "unknown";
}
virtual void SaveState(CvFileStorage*){};
virtual void LoadState(CvFileStorage*, CvFileNode*){};
const char* GetParamName(int index);
const char* GetParamComment(const char* name);
double GetParam(const char* name);
const char* GetParamStr(const char* name);
void SetParam(const char* name, double val);
void SetParamStr(const char* name, const char* str);
void TransferParamsFromChild(CvVSModule* pM, const char* prefix = NULL);
void TransferParamsToChild(CvVSModule* pM, char* prefix = NULL);
virtual void ParamUpdate();
const char* GetTypeName();
int IsModuleTypeName(const char* name);
char* GetModuleName();
int IsModuleName(const char* name);
void SetNickName(const char* pStr);
const char* GetNickName();
virtual void SaveState(CvFileStorage*);
virtual void LoadState(CvFileStorage*, CvFileNode*);
virtual void Release() = 0;
};/* CvVMModule */
void inline cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, const char* desc, int num=1)
{
cvStartWriteStruct(fs,name,CV_NODE_SEQ|CV_NODE_FLOW);
cvWriteRawData(fs,addr,num,desc);
cvEndWriteStruct(fs);
}
void inline cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, const char* desc)
{
CvFileNode* pSeqNode = cvGetFileNodeByName(fs, node, name);
if(pSeqNode==NULL)
{
printf("WARNING!!! Can't read structure %s\n",name);
}
else
{
if(CV_NODE_IS_SEQ(pSeqNode->tag))
{
cvReadRawData( fs, pSeqNode, addr, desc );
}
else
{
printf("WARNING!!! Structure %s is not sequence and can not be read\n",name);
}
}
}
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 */
class CV_EXPORTS CvFGDetector: public CvVSModule
class CV_EXPORTS CvFGDetector : public CvVSModule
{
public:
CvFGDetector(){SetTypeName("FGDetector");};
CvFGDetector();
virtual IplImage* GetMask() = 0;
/* Process current image: */
virtual void Process(IplImage* pImg) = 0;
/* Release foreground detector: */
virtual void Release() = 0;
};
inline void cvReleaseFGDetector(CvFGDetector** ppT )
{
ppT[0]->Release();
ppT[0] = 0;
}
/* FOREGROUND DETECTOR INTERFACE */
CV_EXPORTS void cvReleaseFGDetector(CvFGDetector** ppT );
CV_EXPORTS CvFGDetector* cvCreateFGDetectorBase(int type, void *param);
@ -552,71 +273,15 @@ struct CvBlobTrack
class CV_EXPORTS CvBlobTrackSeq
{
public:
CvBlobTrackSeq(int TrackSize = sizeof(CvBlobTrack))
{
m_pMem = cvCreateMemStorage();
m_pSeq = cvCreateSeq(0,sizeof(CvSeq),TrackSize,m_pMem);
}
virtual ~CvBlobTrackSeq()
{
Clear();
cvReleaseMemStorage(&m_pMem);
};
virtual CvBlobTrack* GetBlobTrack(int TrackIndex)
{
return (CvBlobTrack*)cvGetSeqElem(m_pSeq,TrackIndex);
};
virtual CvBlobTrack* GetBlobTrackByID(int TrackID)
{
int i;
for(i=0; i<m_pSeq->total; ++i)
{
CvBlobTrack* pP = GetBlobTrack(i);
if(pP && pP->TrackID == TrackID)
return pP;
}
return NULL;
};
virtual void DelBlobTrack(int TrackIndex)
{
CvBlobTrack* pP = GetBlobTrack(TrackIndex);
if(pP && pP->pBlobSeq) delete pP->pBlobSeq;
cvSeqRemove(m_pSeq,TrackIndex);
};
virtual void DelBlobTrackByID(int TrackID)
{
int i;
for(i=0; i<m_pSeq->total; ++i)
{
CvBlobTrack* pP = GetBlobTrack(i);
if(TrackID == pP->TrackID)
{
DelBlobTrack(i);
return;
}
}
};
virtual void Clear()
{
int i;
for(i=GetBlobTrackNum();i>0;i--)
{
DelBlobTrack(i-1);
}
cvClearSeq(m_pSeq);
};
virtual void AddBlobTrack(int TrackID, int StartFrame = 0)
{
CvBlobTrack N;
N.TrackID = TrackID;
N.StartFrame = StartFrame;
N.pBlobSeq = new CvBlobSeq;
cvSeqPush(m_pSeq,&N);
};
virtual int GetBlobTrackNum()
{
return m_pSeq->total;
};
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;
@ -638,19 +303,14 @@ public:
/* release blob detector */
virtual void Release()=0;
};
/* Release any blob detector: */
inline void cvReleaseBlobDetector(CvBlobDetector** ppBD)
{
ppBD[0]->Release();
ppBD[0] = NULL;
}
/* END BLOB DETECTOR INTERFACE */
CV_EXPORTS void cvReleaseBlobDetector(CvBlobDetector** ppBD);
/* Declarations of constructors of implemented modules: */
CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorSimple();
CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorCC();
struct CV_EXPORTS CvDetectedBlob : public CvBlob
{
float response;
@ -667,28 +327,27 @@ CV_INLINE CvDetectedBlob cvDetectedBlob( float x, float y, float w, float h, int
class CV_EXPORTS CvObjectDetector
{
public:
CvObjectDetector( const char* /*detector_file_name*/ = 0 ) {};
~CvObjectDetector() {};
CvObjectDetector( const char* /*detector_file_name*/ = 0 );
~CvObjectDetector();
/*
* Release the current detector and load new detector from file
* (if detector_file_name is not 0)
* Return true on success:
*/
bool Load( const char* /*detector_file_name*/ = 0 ) { return false; }
bool Load( const char* /*detector_file_name*/ = 0 );
/* Return min detector window size: */
CvSize GetMinWindowSize() const { return cvSize(0,0); }
CvSize GetMinWindowSize() const;
/* Return max border: */
int GetMaxBorderSize() const { return 0; }
int GetMaxBorderSize() const;
/*
* Detect the object on the image and push the detected
* blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
*/
void Detect( const CvArr* /*img*/, /* out */ CvBlobSeq* /*detected_blob_seq*/ = 0 ) {};
void Detect( const CvArr* /*img*/, /* out */ CvBlobSeq* /*detected_blob_seq*/ = 0 );
protected:
class CvObjectDetectorImpl* impl;
@ -774,7 +433,7 @@ CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGenYML();
class CV_EXPORTS CvBlobTracker: public CvVSModule
{
public:
CvBlobTracker(){SetTypeName("BlobTracker");};
CvBlobTracker();
/* Add new blob to track it and assign to this blob personal ID */
/* pBlob - pointer to structure with blob parameters (ID is ignored)*/
@ -800,100 +459,52 @@ public:
/* Process one blob (for multi hypothesis tracing): */
virtual void ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL)
{
CvBlob* pB;
int ID = 0;
assert(pBlob);
//pBlob->ID;
pB = GetBlob(BlobIndex);
if(pB)
pBlob[0] = pB[0];
pBlob->ID = ID;
};
virtual void ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
/* Get confidence/wieght/probability (0-1) for blob: */
virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL)
{
return 1;
};
virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL);
virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL)
{
int b,bN = pBlobList->GetBlobNum();
double W = 1;
for(b=0;b<bN;++b)
{
CvBlob* pB = pBlobList->GetBlob(b);
int BI = GetBlobIndexByID(pB->ID);
W *= GetConfidence(BI,pB,pImg,pImgFG);
}
return W;
};
virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL);
virtual void UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, 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)
{
int i;
for(i=GetBlobNum();i>0;i--)
{
CvBlob* pB=GetBlob(i-1);
UpdateBlob(i-1, pB, pImg, pImgFG);
}
};
virtual void Update(IplImage* pImg, IplImage* pImgFG = NULL);
/* Return pointer to blob by its unique ID: */
virtual int GetBlobIndexByID(int BlobID)
{
int i;
for(i=GetBlobNum();i>0;i--)
{
CvBlob* pB=GetBlob(i-1);
if(CV_BLOB_ID(pB) == BlobID) return i-1;
}
return -1;
};
virtual int GetBlobIndexByID(int BlobID);
/* Return pointer to blob by its unique ID: */
virtual CvBlob* GetBlobByID(int BlobID){return GetBlob(GetBlobIndexByID(BlobID));};
virtual CvBlob* GetBlobByID(int BlobID);
/* Delete blob by its ID: */
virtual void DelBlobByID(int BlobID){DelBlob(GetBlobIndexByID(BlobID));};
virtual void DelBlobByID(int BlobID);
/* Set new parameters for specified (by index) blob: */
virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/){};
virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/);
/* Set new parameters for specified (by ID) blob: */
virtual void SetBlobByID(int BlobID, CvBlob* pBlob)
{
SetBlob(GetBlobIndexByID(BlobID),pBlob);
};
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 1;};
virtual int GetBlobHypNum(int /*BlobIdx*/);
/* Return pointer to specified blob hypothesis by index blob: */
virtual CvBlob* GetBlobHyp(int BlobIndex, int /*hypothesis*/){return GetBlob(BlobIndex);};
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*/){};
virtual void SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/);
};
inline void cvReleaseBlobTracker(CvBlobTracker**ppT )
{
ppT[0]->Release();
ppT[0] = 0;
}
CV_EXPORTS void cvReleaseBlobTracker(CvBlobTracker**ppT );
/* BLOB TRACKER INTERFACE */
/*BLOB TRACKER ONE INTERFACE */
class CV_EXPORTS CvBlobTrackerOne:public CvVSModule
class CV_EXPORTS CvBlobTrackerOne : public CvVSModule
{
public:
virtual void Init(CvBlob* pBlobInit, IplImage* pImg, IplImage* pImgFG = NULL) = 0;

662
modules/imgproc/include/opencv2/imgproc/compat_c.h → modules/legacy/include/opencv2/legacy/compat.hpp
View File

@ -47,8 +47,8 @@
including cv.h.
*/
#ifndef __OPENCV_IMGPROC_COMPAT_C_H__
#define __OPENCV_IMGPROC_COMPAT_C_H__
#ifndef __OPENCV_COMPAT_HPP__
#define __OPENCV_COMPAT_HPP__
#include <math.h>
#include <string.h>
@ -57,51 +57,47 @@
extern "C" {
#endif
#ifdef __cplusplus
#define CV_UNREFERENCED(arg)
#else
#define CV_UNREFERENCED(arg) arg
#endif
#if !defined __cplusplus && defined _MSC_VER && _MSC_VER >= 1400
#pragma warning(push)
#pragma warning(disable: 4100)
#endif
typedef int CvMatType;
typedef int CvDisMaskType;
typedef CvMat CvMatArray;
#define CvThreshType int
#define CvAdaptiveThreshMethod int
#define CvCompareMethod int
#define CvFontFace int
#define CvPolyApproxMethod int
#define CvContoursMatchMethod int
#define CvContourTreesMatchMethod int
#define CvCoeffType int
#define CvRodriguesType int
#define CvElementShape int
#define CvMorphOp int
#define CvTemplMatchMethod int
typedef int CvThreshType;
typedef int CvAdaptiveThreshMethod;
typedef int CvCompareMethod;
typedef int CvFontFace;
typedef int CvPolyApproxMethod;
typedef int CvContoursMatchMethod;
typedef int CvContourTreesMatchMethod;
typedef int CvCoeffType;
typedef int CvRodriguesType;
typedef int CvElementShape;
typedef int CvMorphOp;
typedef int CvTemplMatchMethod;
#define CvPoint2D64d CvPoint2D64f
#define CvPoint3D64d CvPoint3D64f
typedef CvPoint2D64f CvPoint2D64d;
typedef CvPoint3D64f CvPoint3D64d;
#define CV_MAT32F CV_32FC1
#define CV_MAT3x1_32F CV_32FC1
#define CV_MAT4x1_32F CV_32FC1
#define CV_MAT3x3_32F CV_32FC1
#define CV_MAT4x4_32F CV_32FC1
enum
{
CV_MAT32F = CV_32FC1,
CV_MAT3x1_32F = CV_32FC1,
CV_MAT4x1_32F = CV_32FC1,
CV_MAT3x3_32F = CV_32FC1,
CV_MAT4x4_32F = CV_32FC1,
#define CV_MAT64D CV_64FC1
#define CV_MAT3x1_64D CV_64FC1
#define CV_MAT4x1_64D CV_64FC1
#define CV_MAT3x3_64D CV_64FC1
#define CV_MAT4x4_64D CV_64FC1
CV_MAT64D = CV_64FC1,
CV_MAT3x1_64D = CV_64FC1,
CV_MAT4x1_64D = CV_64FC1,
CV_MAT3x3_64D = CV_64FC1,
CV_MAT4x4_64D = CV_64FC1
};
#define IPL_GAUSSIAN_5x5 7
#define CvBox2D32f CvBox2D
enum
{
IPL_GAUSSIAN_5x5 = 7
};
typedef CvBox2D CvBox2D32f;
/* allocation/deallocation macros */
#define cvCreateImageData cvCreateData
@ -117,11 +113,8 @@ typedef CvMat CvMatArray;
#define cvIntegralImage cvIntegral
#define cvMatchContours cvMatchShapes
CV_INLINE CvMat cvMatArray( int rows, int cols, int type,
int count, void* data CV_DEFAULT(0))
{
return cvMat( rows*count, cols, type, data );
}
CV_EXPORTS CvMat cvMatArray( int rows, int cols, int type,
int count, void* data CV_DEFAULT(0));
#define cvUpdateMHIByTime cvUpdateMotionHistory
@ -133,49 +126,13 @@ CV_INLINE CvMat cvMatArray( int rows, int cols, int type,
#define cvSetHistThresh cvSetHistBinRanges
#define cvCalcHistMask(img, mask, hist, doNotClear) cvCalcHist(img, hist, doNotClear, mask)
CV_INLINE double cvMean( const CvArr* image, const CvArr* mask CV_DEFAULT(0))
{
CvScalar mean = cvAvg( image, mask );
return mean.val[0];
}
CV_INLINE double cvSumPixels( const CvArr* image )
{
CvScalar scalar = cvSum( image );
return scalar.val[0];
}
CV_INLINE void cvMean_StdDev( const CvArr* image, double* mean, double* sdv,
const CvArr* mask CV_DEFAULT(0))
{
CvScalar _mean, _sdv;
cvAvgSdv( image, &_mean, &_sdv, mask );
if( mean )
*mean = _mean.val[0];
if( sdv )
*sdv = _sdv.val[0];
}
CV_INLINE void cvmPerspectiveProject( const CvMat* mat, const CvArr* src, CvArr* dst )
{
CvMat tsrc, tdst;
cvReshape( src, &tsrc, 3, 0 );
cvReshape( dst, &tdst, 3, 0 );
cvPerspectiveTransform( &tsrc, &tdst, mat );
}
CV_INLINE void cvFillImage( CvArr* mat, double color )
{
cvSet( mat, cvColorToScalar(color, cvGetElemType(mat)), 0 );
}
CV_EXPORTS double cvMean( const CvArr* image, const CvArr* mask CV_DEFAULT(0));
CV_EXPORTS double cvSumPixels( const CvArr* image );
CV_EXPORTS void cvMean_StdDev( const CvArr* image, double* mean, double* sdv,
const CvArr* mask CV_DEFAULT(0));
CV_EXPORTS void cvmPerspectiveProject( const CvMat* mat, const CvArr* src, CvArr* dst );
CV_EXPORTS void cvFillImage( CvArr* mat, double color );
#define cvCvtPixToPlane cvSplit
#define cvCvtPlaneToPix cvMerge
@ -185,174 +142,38 @@ typedef struct CvRandState
CvRNG state; /* RNG state (the current seed and carry)*/
int disttype; /* distribution type */
CvScalar param[2]; /* parameters of RNG */
}
CvRandState;
} CvRandState;
/* Changes RNG range while preserving RNG state */
CV_INLINE void cvRandSetRange( CvRandState* state, double param1,
double param2, int index CV_DEFAULT(-1))
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRandSetRange", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
CV_EXPORTS void cvRandSetRange( CvRandState* state, double param1,
double param2, int index CV_DEFAULT(-1));
if( (unsigned)(index + 1) > 4 )
{
cvError( CV_StsOutOfRange, "cvRandSetRange", "index is not in -1..3", "cvcompat.h", 0 );
return;
}
if( index < 0 )
{
state->param[0].val[0] = state->param[0].val[1] =
state->param[0].val[2] = state->param[0].val[3] = param1;
state->param[1].val[0] = state->param[1].val[1] =
state->param[1].val[2] = state->param[1].val[3] = param2;
}
else
{
state->param[0].val[index] = param1;
state->param[1].val[index] = param2;
}
}
CV_INLINE void cvRandInit( CvRandState* state, double param1,
CV_EXPORTS void cvRandInit( CvRandState* state, double param1,
double param2, int seed,
int disttype CV_DEFAULT(CV_RAND_UNI))
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRandInit", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
if( disttype != CV_RAND_UNI && disttype != CV_RAND_NORMAL )
{
cvError( CV_StsBadFlag, "cvRandInit", "Unknown distribution type", "cvcompat.h", 0 );
return;
}
state->state = (uint64)(seed ? seed : -1);
state->disttype = disttype;
cvRandSetRange( state, param1, param2, -1 );
}
int disttype CV_DEFAULT(CV_RAND_UNI));
/* Fills array with random numbers */
CV_INLINE void cvRand( CvRandState* state, CvArr* arr )
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRand", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
cvRandArr( &state->state, arr, state->disttype, state->param[0], state->param[1] );
}
CV_EXPORTS void cvRand( CvRandState* state, CvArr* arr );
#define cvRandNext( _state ) cvRandInt( &(_state)->state )
CV_INLINE void cvbRand( CvRandState* state, float* dst, int len )
{
CvMat mat = cvMat( 1, len, CV_32F, (void*)dst );
cvRand( state, &mat );
}
CV_EXPORTS void cvbRand( CvRandState* state, float* dst, int len );
CV_EXPORTS void cvbCartToPolar( const float* y, const float* x,
float* magnitude, float* angle, int len );
CV_EXPORTS void cvbFastArctan( const float* y, const float* x, float* angle, int len );
CV_EXPORTS void cvbSqrt( const float* x, float* y, int len );
CV_EXPORTS void cvbInvSqrt( const float* x, float* y, int len );
CV_EXPORTS void cvbReciprocal( const float* x, float* y, int len );
CV_EXPORTS void cvbFastExp( const float* x, double* y, int len );
CV_EXPORTS void cvbFastLog( const double* x, float* y, int len );
CV_INLINE void cvbCartToPolar( const float* y, const float* x,
float* magnitude, float* angle, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
CvMat mm = mx;
CvMat ma = mx;
my.data.fl = (float*)y;
mm.data.fl = (float*)magnitude;
ma.data.fl = (float*)angle;
cvCartToPolar( &mx, &my, &mm, angle ? &ma : NULL, 1 );
}
CV_INLINE void cvbFastArctan( const float* y, const float* x,
float* angle, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
CvMat ma = mx;
my.data.fl = (float*)y;
ma.data.fl = (float*)angle;
cvCartToPolar( &mx, &my, NULL, &ma, 1 );
}
CV_INLINE void cvbSqrt( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, 0.5 );
}
CV_INLINE void cvbInvSqrt( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, -0.5 );
}
CV_INLINE void cvbReciprocal( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, -1 );
}
CV_INLINE void cvbFastExp( const float* x, double* y, int len )
{
int i;
for( i = 0; i < len; i++ )
y[i] = exp((double)x[i]);
}
CV_INLINE void cvbFastLog( const double* x, float* y, int len )
{
int i;
for( i = 0; i < len; i++ )
y[i] = (float)log(x[i]);
}
CV_INLINE CvRect cvContourBoundingRect( void* point_set, int update CV_DEFAULT(0))
{
return cvBoundingRect( point_set, update );
}
CV_INLINE double cvPseudoInverse( const CvArr* src, CvArr* dst )
{
return cvInvert( src, dst, CV_SVD );
}
CV_EXPORTS CvRect cvContourBoundingRect( void* point_set, int update CV_DEFAULT(0));
CV_EXPORTS double cvPseudoInverse( const CvArr* src, CvArr* dst );
#define cvPseudoInv cvPseudoInverse
#define cvContourMoments( contour, moments ) \
cvMoments( contour, moments, 0 )
#define cvContourMoments( contour, moments ) cvMoments( contour, moments, 0 )
#define cvGetPtrAt cvPtr2D
#define cvGetAt cvGet2D
@ -389,98 +210,37 @@ CV_INLINE double cvPseudoInverse( const CvArr* src, CvArr* dst )
#define cvReleaseMatHeader cvReleaseMat
/* Calculates exact convex hull of 2d point set */
CV_INLINE void cvConvexHull( CvPoint* points, int num_points,
CvRect* CV_UNREFERENCED(bound_rect),
int orientation, int* hull, int* hullsize )
{
CvMat points1 = cvMat( 1, num_points, CV_32SC2, points );
CvMat hull1 = cvMat( 1, num_points, CV_32SC1, hull );
cvConvexHull2( &points1, &hull1, orientation, 0 );
*hullsize = hull1.cols;
}
/* Calculates exact convex hull of 2d point set stored in a sequence */
#define cvContourConvexHull( contour, orientation, storage ) \
cvConvexHull2( contour, storage, orientation )
/* Calculates approximate convex hull of 2d point set */
#define cvConvexHullApprox( points, num_points, bound_rect, bandwidth, \
orientation, hull, hullsize ) \
cvConvexHull( points, num_points, bound_rect, orientation, hull, hullsize )
/* Calculates approximate convex hull of 2d point set stored in a sequence */
#define cvContourConvexHullApprox( contour, bandwidth, orientation, storage ) \
cvConvexHull2( contour, storage, orientation )
CV_EXPORTS void cvConvexHull( CvPoint* points, int num_points,
CvRect* bound_rect,
int orientation, int* hull, int* hullsize );
CV_INLINE void cvMinAreaRect( CvPoint* points, int n,
int CV_UNREFERENCED(left), int CV_UNREFERENCED(bottom),
int CV_UNREFERENCED(right), int CV_UNREFERENCED(top),
CV_EXPORTS void cvMinAreaRect( CvPoint* points, int n,
int left, int bottom,
int right, int top,
CvPoint2D32f* anchor,
CvPoint2D32f* vect1,
CvPoint2D32f* vect2 )
{
CvMat mat = cvMat( 1, n, CV_32SC2, points );
CvBox2D box = cvMinAreaRect2( &mat, 0 );
CvPoint2D32f pt[4];
cvBoxPoints( box, pt );
*anchor = pt[0];
vect1->x = pt[1].x - pt[0].x;
vect1->y = pt[1].y - pt[0].y;
vect2->x = pt[3].x - pt[0].x;
vect2->y = pt[3].y - pt[0].y;
}
CvPoint2D32f* vect2 );
typedef int CvDisType;
typedef int CvChainApproxMethod;
typedef int CvContourRetrievalMode;
CV_INLINE void cvFitLine3D( CvPoint3D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line )
{
CvMat mat = cvMat( 1, count, CV_32FC3, points );
float _param = param != NULL ? *(float*)param : 0.f;
assert( dist != CV_DIST_USER );
cvFitLine( &mat, dist, _param, reps, aeps, line );
}
CV_EXPORTS void cvFitLine3D( CvPoint3D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line );
/* Fits a line into set of 2d points in a robust way (M-estimator technique) */
CV_INLINE void cvFitLine2D( CvPoint2D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line )
{
CvMat mat = cvMat( 1, count, CV_32FC2, points );
float _param = param != NULL ? *(float*)param : 0.f;
assert( dist != CV_DIST_USER );
cvFitLine( &mat, dist, _param, reps, aeps, line );
}
CV_EXPORTS void cvFitLine2D( CvPoint2D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line );
CV_INLINE void cvFitEllipse( const CvPoint2D32f* points, int count, CvBox2D* box )
{
CvMat mat = cvMat( 1, count, CV_32FC2, (void*)points );
*box = cvFitEllipse2( &mat );
}
CV_EXPORTS void cvFitEllipse( const CvPoint2D32f* points, int count, CvBox2D* box );
/* Projects 2d points to one of standard coordinate planes
(i.e. removes one of coordinates) */
CV_INLINE void cvProject3D( CvPoint3D32f* points3D, int count,
CV_EXPORTS void cvProject3D( CvPoint3D32f* points3D, int count,
CvPoint2D32f* points2D,
int xIndx CV_DEFAULT(0),
int yIndx CV_DEFAULT(1))
{
CvMat src = cvMat( 1, count, CV_32FC3, points3D );
CvMat dst = cvMat( 1, count, CV_32FC2, points2D );
float m[6] = {0,0,0,0,0,0};
CvMat M = cvMat( 2, 3, CV_32F, m );
assert( (unsigned)xIndx < 3 && (unsigned)yIndx < 3 );
m[xIndx] = m[yIndx+3] = 1.f;
cvTransform( &src, &dst, &M, NULL );
}
int yIndx CV_DEFAULT(1));
/* Retrieves value of the particular bin
of x-dimensional (x=1,2,3,...) histogram */
@ -508,134 +268,52 @@ CV_INLINE void cvProject3D( CvPoint3D32f* points3D, int count,
#define CV_IS_SET_ELEM_EXISTS CV_IS_SET_ELEM
CV_INLINE int cvHoughLines( CvArr* image, double rho,
CV_EXPORTS int cvHoughLines( CvArr* image, double rho,
double theta, int threshold,
float* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32FC2, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_STANDARD,
rho, theta, threshold, 0, 0 );
float* lines, int linesNumber );
return linesMat.cols;
}
CV_INLINE int cvHoughLinesP( CvArr* image, double rho,
CV_EXPORTS int cvHoughLinesP( CvArr* image, double rho,
double theta, int threshold,
int lineLength, int lineGap,
int* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32SC4, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_PROBABILISTIC,
rho, theta, threshold, lineLength, lineGap );
return linesMat.cols;
}
int* lines, int linesNumber );
CV_INLINE int cvHoughLinesSDiv( CvArr* image, double rho, int srn,
CV_EXPORTS int cvHoughLinesSDiv( CvArr* image, double rho, int srn,
double theta, int stn, int threshold,
float* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32FC2, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_MULTI_SCALE,
rho, theta, threshold, srn, stn );
float* lines, int linesNumber );
return linesMat.cols;
}
CV_INLINE float cvCalcEMD( const float* signature1, int size1,
CV_EXPORTS float cvCalcEMD( const float* signature1, int size1,
const float* signature2, int size2,
int dims, int dist_type CV_DEFAULT(CV_DIST_L2),
CvDistanceFunction dist_func CV_DEFAULT(0),
float* lower_bound CV_DEFAULT(0),
void* user_param CV_DEFAULT(0))
{
CvMat sign1 = cvMat( size1, dims + 1, CV_32FC1, (void*)signature1 );
CvMat sign2 = cvMat( size2, dims + 1, CV_32FC1, (void*)signature2 );
void* user_param CV_DEFAULT(0));
return cvCalcEMD2( &sign1, &sign2, dist_type, dist_func, 0, 0, lower_bound, user_param );
}
CV_INLINE void cvKMeans( int num_clusters, float** samples,
CV_EXPORTS void cvKMeans( int num_clusters, float** samples,
int num_samples, int vec_size,
CvTermCriteria termcrit, int* cluster_idx )
{
CvMat* samples_mat = cvCreateMat( num_samples, vec_size, CV_32FC1 );
CvMat cluster_idx_mat = cvMat( num_samples, 1, CV_32SC1, cluster_idx );
int i;
for( i = 0; i < num_samples; i++ )
memcpy( samples_mat->data.fl + i*vec_size, samples[i], vec_size*sizeof(float));
cvKMeans2( samples_mat, num_clusters, &cluster_idx_mat, termcrit, 1, 0, 0, 0, 0 );
cvReleaseMat( &samples_mat );
}
CvTermCriteria termcrit, int* cluster_idx );
CV_INLINE void cvStartScanGraph( CvGraph* graph, CvGraphScanner* scanner,
CV_EXPORTS void cvStartScanGraph( CvGraph* graph, CvGraphScanner* scanner,
CvGraphVtx* vtx CV_DEFAULT(NULL),
int mask CV_DEFAULT(CV_GRAPH_ALL_ITEMS))
{
CvGraphScanner* temp_scanner;
int mask CV_DEFAULT(CV_GRAPH_ALL_ITEMS));
if( !scanner )
cvError( CV_StsNullPtr, "cvStartScanGraph", "Null scanner pointer", "cvcompat.h", 0 );
temp_scanner = cvCreateGraphScanner( graph, vtx, mask );
*scanner = *temp_scanner;
cvFree( &temp_scanner );
}
CV_INLINE void cvEndScanGraph( CvGraphScanner* scanner )
{
if( !scanner )
cvError( CV_StsNullPtr, "cvEndScanGraph", "Null scanner pointer", "cvcompat.h", 0 );
if( scanner->stack )
{
CvGraphScanner* temp_scanner = (CvGraphScanner*)cvAlloc( sizeof(*temp_scanner) );
*temp_scanner = *scanner;
cvReleaseGraphScanner( &temp_scanner );
memset( scanner, 0, sizeof(*scanner) );
}
}
CV_EXPORTS void cvEndScanGraph( CvGraphScanner* scanner );
/* old drawing functions */
CV_INLINE void cvLineAA( CvArr* img, CvPoint pt1, CvPoint pt2,
double color, int scale CV_DEFAULT(0))
{
cvLine( img, pt1, pt2, cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
CV_EXPORTS void cvLineAA( CvArr* img, CvPoint pt1, CvPoint pt2,
double color, int scale CV_DEFAULT(0));
CV_INLINE void cvCircleAA( CvArr* img, CvPoint center, int radius,
double color, int scale CV_DEFAULT(0) )
{
cvCircle( img, center, radius, cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
CV_EXPORTS void cvCircleAA( CvArr* img, CvPoint center, int radius,
double color, int scale CV_DEFAULT(0) );
CV_INLINE void cvEllipseAA( CvArr* img, CvPoint center, CvSize axes,
CV_EXPORTS void cvEllipseAA( CvArr* img, CvPoint center, CvSize axes,
double angle, double start_angle,
double end_angle, double color,
int scale CV_DEFAULT(0) )
{
cvEllipse( img, center, axes, angle, start_angle, end_angle,
cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
CV_INLINE void cvPolyLineAA( CvArr* img, CvPoint** pts, int* npts, int contours,
int is_closed, double color, int scale CV_DEFAULT(0) )
{
cvPolyLine( img, pts, npts, contours, is_closed,
cvColorToScalar(color, cvGetElemType(img)),
1, CV_AA, scale );
}
int scale CV_DEFAULT(0) );
CV_EXPORTS void cvPolyLineAA( CvArr* img, CvPoint** pts, int* npts, int contours,
int is_closed, double color, int scale CV_DEFAULT(0) );
/****************************************************************************************\
* Pixel Access Macros *
@ -784,19 +462,22 @@ typedef struct _CvPixelPosition32f
#define CV_MOVE_RD_WRAP( pos, cs ) ( CV_MOVE_RIGHT_WRAP(pos, cs), CV_MOVE_DOWN_WRAP(pos, cs))
/* Numeric constants which used for moving in arbitrary direction */
#define CV_SHIFT_NONE 2
#define CV_SHIFT_LEFT 1
#define CV_SHIFT_RIGHT 3
#define CV_SHIFT_UP 6
#define CV_SHIFT_DOWN 10
#define CV_SHIFT_LU 5
#define CV_SHIFT_RU 7
#define CV_SHIFT_LD 9
#define CV_SHIFT_RD 11
enum
{
CV_SHIFT_NONE = 2,
CV_SHIFT_LEFT = 1,
CV_SHIFT_RIGHT = 3,
CV_SHIFT_UP = 6,
CV_SHIFT_DOWN = 10,
CV_SHIFT_LU = 5,
CV_SHIFT_RU = 7,
CV_SHIFT_LD = 9,
CV_SHIFT_RD = 11
};
/* Move by one pixel in specified direction */
/* pos - position structure */
/* shift - direction ( it's value must be one of the CV_SHIFT_… constants ) */
/* shift - direction ( it's value must be one of the CV_SHIFT_Ö constants ) */
/* cs - number of the image channels */
#define CV_MOVE_PARAM( pos, shift, cs ) \
( (pos).currline += (pos).step_arr[(shift)>>2], (pos).x += ((shift)&3)-2, \
@ -806,7 +487,7 @@ typedef struct _CvPixelPosition32f
/* Move by one pixel in specified direction with wrapping when the */
/* position achieves image boundary */
/* pos - position structure */
/* shift - direction ( it's value must be one of the CV_SHIFT_… constants ) */
/* shift - direction ( it's value must be one of the CV_SHIFT_Ö constants ) */
/* cs - number of the image channels */
#define CV_MOVE_PARAM_WRAP( pos, shift, cs ) \
( (pos).currline += (pos).step_arr[(shift)>>2], \
@ -826,59 +507,96 @@ typedef float* CvMatr32f;
typedef double* CvVect64d;
typedef double* CvMatr64d;
typedef struct CvMatrix3
{
float m[3][3];
}
CvMatrix3;
CV_INLINE void cvUnDistortOnce( const CvArr* src, CvArr* dst,
CV_EXPORTS void cvUnDistortOnce( const CvArr* src, CvArr* dst,
const float* intrinsic_matrix,
const float* distortion_coeffs,
int CV_UNREFERENCED(interpolate) )
{
CvMat _a = cvMat( 3, 3, CV_32F, (void*)intrinsic_matrix );
CvMat _k = cvMat( 4, 1, CV_32F, (void*)distortion_coeffs );
cvUndistort2( src, dst, &_a, &_k, 0 );
}
int interpolate );
/* the two functions below have quite hackerish implementations, use with care
(or, which is better, switch to cvUndistortInitMap and cvRemap instead */
CV_INLINE void cvUnDistortInit( const CvArr* CV_UNREFERENCED(src),
CV_EXPORTS void cvUnDistortInit( const CvArr* src,
CvArr* undistortion_map,
const float* A, const float* k,
int CV_UNREFERENCED(interpolate) )
{
union { uchar* ptr; float* fl; } data;
CvSize sz;
cvGetRawData( undistortion_map, &data.ptr, 0, &sz );
assert( sz.width >= 8 );
/* just save the intrinsic parameters to the map */
data.fl[0] = A[0]; data.fl[1] = A[4];
data.fl[2] = A[2]; data.fl[3] = A[5];
data.fl[4] = k[0]; data.fl[5] = k[1];
data.fl[6] = k[2]; data.fl[7] = k[3];
}
int interpolate );
CV_INLINE void cvUnDistort( const CvArr* src, CvArr* dst,
CV_EXPORTS void cvUnDistort( const CvArr* src, CvArr* dst,
const CvArr* undistortion_map,
int CV_UNREFERENCED(interpolate) )
{
union { uchar* ptr; float* fl; } data;
float a[] = {0,0,0,0,0,0,0,0,1};
CvSize sz;
cvGetRawData( undistortion_map, &data.ptr, 0, &sz );
assert( sz.width >= 8 );
a[0] = data.fl[0]; a[4] = data.fl[1];
a[2] = data.fl[2]; a[5] = data.fl[3];
cvUnDistortOnce( src, dst, a, data.fl + 4, 1 );
}
int interpolate );
/* Find fundamental matrix */
CV_EXPORTS void cvFindFundamentalMatrix( int* points1, int* points2,
int numpoints, int method, float* matrix );
CV_EXPORTS int cvFindChessBoardCornerGuesses( const void* arr, void* thresharr,
CvMemStorage* storage,
CvSize pattern_size, CvPoint2D32f * corners,
int *corner_count );
/* Calibrates camera using multiple views of calibration pattern */
CV_EXPORTS void cvCalibrateCamera( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D32f* _image_points, CvPoint3D32f* _object_points,
float* _distortion_coeffs, float* _camera_matrix, float* _translation_vectors,
float* _rotation_matrices, int flags );
CV_EXPORTS void cvCalibrateCamera_64d( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D64f* _image_points, CvPoint3D64f* _object_points,
double* _distortion_coeffs, double* _camera_matrix, double* _translation_vectors,
double* _rotation_matrices, int flags );
/* Find 3d position of object given intrinsic camera parameters,
3d model of the object and projection of the object into view plane */
CV_EXPORTS void cvFindExtrinsicCameraParams( int point_count,
CvSize image_size, CvPoint2D32f* _image_points,
CvPoint3D32f* _object_points, float* focal_length,
CvPoint2D32f principal_point, float* _distortion_coeffs,
float* _rotation_vector, float* _translation_vector );
/* Variant of the previous function that takes double-precision parameters */
CV_EXPORTS void cvFindExtrinsicCameraParams_64d( int point_count,
CvSize image_size, CvPoint2D64f* _image_points,
CvPoint3D64f* _object_points, double* focal_length,
CvPoint2D64f principal_point, double* _distortion_coeffs,
double* _rotation_vector, double* _translation_vector );
/* Rodrigues transform */
enum
{
CV_RODRIGUES_M2V = 0,
CV_RODRIGUES_V2M = 1
};
/* Converts rotation_matrix matrix to rotation_matrix vector or vice versa */
CV_EXPORTS void cvRodrigues( CvMat* rotation_matrix, CvMat* rotation_vector,
CvMat* jacobian, int conv_type );
/* Does reprojection of 3d object points to the view plane */
CV_EXPORTS void cvProjectPoints( int point_count, CvPoint3D64f* _object_points,
double* _rotation_vector, double* _translation_vector,
double* focal_length, CvPoint2D64f principal_point,
double* _distortion, CvPoint2D64f* _image_points,
double* _deriv_points_rotation_matrix,
double* _deriv_points_translation_vect,
double* _deriv_points_focal,
double* _deriv_points_principal_point,
double* _deriv_points_distortion_coeffs );
/* Simpler version of the previous function */
CV_EXPORTS void cvProjectPointsSimple( int point_count, CvPoint3D64f* _object_points,
double* _rotation_matrix, double* _translation_vector,
double* _camera_matrix, double* _distortion, CvPoint2D64f* _image_points );
#define cvMake2DPoints cvConvertPointsHomogeneous
#define cvMake3DPoints cvConvertPointsHomogeneous
#define cvWarpPerspectiveQMatrix cvGetPerspectiveTransform
#define cvConvertPointsHomogenious cvConvertPointsHomogeneous
#if !defined __cplusplus && defined _MSC_VER && _MSC_VER >= 1400
#pragma warning(pop)
#endif
#ifdef __cplusplus
}

93
modules/legacy/include/opencv2/legacy/legacy.hpp
View File

@ -579,17 +579,17 @@ CVAPI(int) icvCompute3DPoint( double alpha,double betta,
CvStereoLineCoeff* coeffs,
CvPoint3D64f* point);
CVAPI(int) icvCreateConvertMatrVect( CvMatr64d rotMatr1,
CvMatr64d transVect1,
CvMatr64d rotMatr2,
CvMatr64d transVect2,
CvMatr64d convRotMatr,
CvMatr64d convTransVect);
CVAPI(int) icvCreateConvertMatrVect( double* rotMatr1,
double* transVect1,
double* rotMatr2,
double* transVect2,
double* convRotMatr,
double* convTransVect);
CVAPI(int) icvConvertPointSystem(CvPoint3D64f M2,
CvPoint3D64f* M1,
CvMatr64d rotMatr,
CvMatr64d transVect
double* rotMatr,
double* transVect
);
CVAPI(int) icvComputeCoeffForStereo( CvStereoCamera* stereoCamera);
@ -615,17 +615,17 @@ CVAPI(int) icvComCoeffForLine( CvPoint2D64f point1,
CvPoint2D64f point2,
CvPoint2D64f point3,
CvPoint2D64f point4,
CvMatr64d camMatr1,
CvMatr64d rotMatr1,
CvMatr64d transVect1,
CvMatr64d camMatr2,
CvMatr64d rotMatr2,
CvMatr64d transVect2,
double* camMatr1,
double* rotMatr1,
double* transVect1,
double* camMatr2,
double* rotMatr2,
double* transVect2,
CvStereoLineCoeff* coeffs,
int* needSwapCameras);
CVAPI(int) icvGetDirectionForPoint( CvPoint2D64f point,
CvMatr64d camMatr,
double* camMatr,
CvPoint3D64f* direct);
CVAPI(int) icvGetCrossLines(CvPoint3D64f point11,CvPoint3D64f point12,
@ -638,15 +638,15 @@ CVAPI(int) icvComputeStereoLineCoeffs( CvPoint3D64f pointA,
double gamma,
CvStereoLineCoeff* coeffs);
/*CVAPI(int) icvComputeFundMatrEpipoles ( CvMatr64d camMatr1,
CvMatr64d rotMatr1,
CvVect64d transVect1,
CvMatr64d camMatr2,
CvMatr64d rotMatr2,
CvVect64d transVect2,
/*CVAPI(int) icvComputeFundMatrEpipoles ( double* camMatr1,
double* rotMatr1,
double* transVect1,
double* camMatr2,
double* rotMatr2,
double* transVect2,
CvPoint2D64f* epipole1,
CvPoint2D64f* epipole2,
CvMatr64d fundMatr);*/
double* fundMatr);*/
CVAPI(int) icvGetAngleLine( CvPoint2D64f startPoint, CvSize imageSize,CvPoint2D64f *point1,CvPoint2D64f *point2);
@ -656,24 +656,24 @@ CVAPI(void) icvGetCoefForPiece( CvPoint2D64f p_start,CvPoint2D64f p_end,
/*CVAPI(void) icvGetCommonArea( CvSize imageSize,
CvPoint2D64f epipole1,CvPoint2D64f epipole2,
CvMatr64d fundMatr,
CvVect64d coeff11,CvVect64d coeff12,
CvVect64d coeff21,CvVect64d coeff22,
double* fundMatr,
double* coeff11,double* coeff12,
double* coeff21,double* coeff22,
int* result);*/
CVAPI(void) icvComputeeInfiniteProject1(CvMatr64d rotMatr,
CvMatr64d camMatr1,
CvMatr64d camMatr2,
CVAPI(void) icvComputeeInfiniteProject1(double* rotMatr,
double* camMatr1,
double* camMatr2,
CvPoint2D32f point1,
CvPoint2D32f *point2);
CVAPI(void) icvComputeeInfiniteProject2(CvMatr64d rotMatr,
CvMatr64d camMatr1,
CvMatr64d camMatr2,
CVAPI(void) icvComputeeInfiniteProject2(double* rotMatr,
double* camMatr1,
double* camMatr2,
CvPoint2D32f* point1,
CvPoint2D32f point2);
CVAPI(void) icvGetCrossDirectDirect( CvVect64d direct1,CvVect64d direct2,
CVAPI(void) icvGetCrossDirectDirect( double* direct1,double* direct2,
CvPoint2D64f *cross,int* result);
CVAPI(void) icvGetCrossPieceDirect( CvPoint2D64f p_start,CvPoint2D64f p_end,
@ -693,20 +693,20 @@ CVAPI(void) icvGetCrossRectDirect( CvSize imageSize,
int* result);
CVAPI(void) icvProjectPointToImage( CvPoint3D64f point,
CvMatr64d camMatr,CvMatr64d rotMatr,CvVect64d transVect,
double* camMatr,double* rotMatr,double* transVect,
CvPoint2D64f* projPoint);
CVAPI(void) icvGetQuadsTransform( CvSize imageSize,
CvMatr64d camMatr1,
CvMatr64d rotMatr1,
CvVect64d transVect1,
CvMatr64d camMatr2,
CvMatr64d rotMatr2,
CvVect64d transVect2,
double* camMatr1,
double* rotMatr1,
double* transVect1,
double* camMatr2,
double* rotMatr2,
double* transVect2,
CvSize* warpSize,
double quad1[4][2],
double quad2[4][2],
CvMatr64d fundMatr,
double* fundMatr,
CvPoint3D64f* epipole1,
CvPoint3D64f* epipole2
);
@ -715,7 +715,7 @@ CVAPI(void) icvGetQuadsTransformStruct( CvStereoCamera* stereoCamera);
CVAPI(void) icvComputeStereoParamsForCameras(CvStereoCamera* stereoCamera);
CVAPI(void) icvGetCutPiece( CvVect64d areaLineCoef1,CvVect64d areaLineCoef2,
CVAPI(void) icvGetCutPiece( double* areaLineCoef1,double* areaLineCoef2,
CvPoint2D64f epipole,
CvSize imageSize,
CvPoint2D64f* point11,CvPoint2D64f* point12,
@ -726,14 +726,14 @@ CVAPI(void) icvGetMiddleAnglePoint( CvPoint2D64f basePoint,
CvPoint2D64f point1,CvPoint2D64f point2,
CvPoint2D64f* midPoint);
CVAPI(void) icvGetNormalDirect(CvVect64d direct,CvPoint2D64f point,CvVect64d normDirect);
CVAPI(void) icvGetNormalDirect(double* direct,CvPoint2D64f point,double* normDirect);
CVAPI(double) icvGetVect(CvPoint2D64f basePoint,CvPoint2D64f point1,CvPoint2D64f point2);
CVAPI(void) icvProjectPointToDirect( CvPoint2D64f point,CvVect64d lineCoeff,
CVAPI(void) icvProjectPointToDirect( CvPoint2D64f point,double* lineCoeff,
CvPoint2D64f* projectPoint);
CVAPI(void) icvGetDistanceFromPointToDirect( CvPoint2D64f point,CvVect64d lineCoef,double*dist);
CVAPI(void) icvGetDistanceFromPointToDirect( CvPoint2D64f point,double* lineCoef,double*dist);
CVAPI(IplImage*) icvCreateIsometricImage( IplImage* src, IplImage* dst,
int desired_depth, int desired_num_channels );
@ -1096,6 +1096,11 @@ CVAPI(void) cvInitPerspectiveTransform( CvSize size, const CvPoint2D32f vertex[4
/*************************** View Morphing Functions ************************/
typedef struct CvMatrix3
{
float m[3][3];
} CvMatrix3;
/* The order of the function corresponds to the order they should appear in
the view morphing pipeline */

22
modules/video/src/bgfg_estimation.cpp → modules/legacy/src/bgfg_estimation.cpp
View File

@ -42,34 +42,20 @@
// Function cvCreateBGStatModel creates and returns initialized BG model.
// Parameters:
// first_frame - frame from video sequence
// model_type – type of BG model (CV_BG_MODEL_MOG, CV_BG_MODEL_FGD,…)
// model_type ñ type of BG model (CV_BG_MODEL_MOG, CV_BG_MODEL_FGD,Ö)
// parameters - (optional) if NULL the default parameters of the algorithm will be used
CvBGStatModel* cvCreateBGStatModel( IplImage* first_frame, int model_type, void* params )
static CvBGStatModel* cvCreateBGStatModel( IplImage* first_frame, int model_type, void* params )
{
CvBGStatModel* bg_model = NULL;
if( model_type == CV_BG_MODEL_FGD || model_type == CV_BG_MODEL_FGD_SIMPLE )
bg_model = cvCreateFGDStatModel( first_frame, (CvFGDStatModelParams*)params );
else if( model_type == CV_BG_MODEL_MOG )
bg_model = cvCreateGaussianBGModel( first_frame, (CvGaussBGStatModelParams*)params );
return bg_model;
}
void cvReleaseBGStatModel( CvBGStatModel** bg_model )
{
if( bg_model && *bg_model && (*bg_model)->release )
(*bg_model)->release( bg_model );
}
int cvUpdateBGStatModel( IplImage* current_frame,
CvBGStatModel* bg_model,
double learningRate )
{
return bg_model && bg_model->update ? bg_model->update( current_frame, bg_model, learningRate ) : 0;
}
/* FOREGROUND DETECTOR INTERFACE */
class CvFGDetectorBase : public CvFGDetector
{

640
modules/legacy/src/blobtrack.cpp Normal file
View File

@ -0,0 +1,640 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// 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) 2009-2010, 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 names 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.
//
//M*/
#include "precomp.hpp"
//////////////////////////// CvVSModule /////////////////////////////
CvVSModule::CvVSModule()
{
m_pNickName = NULL;
m_pParamList = NULL;
m_pModuleTypeName = NULL;
m_pModuleName = NULL;
m_Wnd = 0;
AddParam("DebugWnd",&m_Wnd);
}
CvVSModule::~CvVSModule()
{
CvDefParam* p = m_pParamList;
for(;p;)
{
CvDefParam* pf = p;
p=p->next;
FreeParam(&pf);
}
m_pParamList=NULL;
if(m_pModuleTypeName)free(m_pModuleTypeName);
if(m_pModuleName)free(m_pModuleName);
}
void CvVSModule::FreeParam(CvDefParam** pp)
{
CvDefParam* p = pp[0];
if(p->Str)free(p->Str);
if(p->pName)free(p->pName);
if(p->pComment)free(p->pComment);
cvFree(pp);
}
CvDefParam* CvVSModule::NewParam(const char* name)
{
CvDefParam* pNew = (CvDefParam*)cvAlloc(sizeof(CvDefParam));
memset(pNew,0,sizeof(CvDefParam));
pNew->pName = strdup(name);
if(m_pParamList==NULL)
{
m_pParamList = pNew;
}
else
{
CvDefParam* p = m_pParamList;
for(;p->next;p=p->next) ;
p->next = pNew;
}
return pNew;
}
CvDefParam* CvVSModule::GetParamPtr(int index)
{
CvDefParam* p = m_pParamList;
for(;index>0 && p;index--,p=p->next) ;
return p;
}
CvDefParam* CvVSModule::GetParamPtr(const char* name)
{
CvDefParam* p = m_pParamList;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name)==0) break;
}
return p;
}
int CvVSModule::IsParam(const char* name)
{
return GetParamPtr(name)?1:0;
}
void CvVSModule::AddParam(const char* name, double* pAddr)
{
NewParam(name)->pDouble = pAddr;
}
void CvVSModule::AddParam(const char* name, float* pAddr)
{
NewParam(name)->pFloat=pAddr;
}
void CvVSModule::AddParam(const char* name, int* pAddr)
{
NewParam(name)->pInt=pAddr;
}
void CvVSModule::AddParam(const char* name, const char** pAddr)
{
CvDefParam* pP = NewParam(name);
const char* p = pAddr?pAddr[0]:NULL;
pP->pStr = pAddr?(char**)pAddr:&(pP->Str);
if(p)
{
pP->Str = strdup(p);
pP->pStr[0] = pP->Str;
}
}
void CvVSModule::AddParam(const char* name)
{
CvDefParam* p = NewParam(name);
p->pDouble = &p->Double;
}
void CvVSModule::CommentParam(const char* name, const char* pComment)
{
CvDefParam* p = GetParamPtr(name);
if(p)p->pComment = pComment ? strdup(pComment) : 0;
}
void CvVSModule::SetTypeName(const char* name){m_pModuleTypeName = strdup(name);}
void CvVSModule::SetModuleName(const char* name){m_pModuleName = strdup(name);}
void CvVSModule::DelParam(const char* name)
{
CvDefParam* p = m_pParamList;
CvDefParam* pPrev = NULL;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name)==0) break;
pPrev = p;
}
if(p)
{
if(pPrev)
{
pPrev->next = p->next;
}
else
{
m_pParamList = p->next;
}
FreeParam(&p);
}
}/* DelParam */
const char* CvVSModule::GetParamName(int index)
{
CvDefParam* p = GetParamPtr(index);
return p?p->pName:NULL;
}
const char* CvVSModule::GetParamComment(const char* name)
{
CvDefParam* p = GetParamPtr(name);
if(p && p->pComment) return p->pComment;
return NULL;
}
double CvVSModule::GetParam(const char* name)
{
CvDefParam* p = GetParamPtr(name);
if(p)
{
if(p->pDouble) return p->pDouble[0];
if(p->pFloat) return p->pFloat[0];
if(p->pInt) return p->pInt[0];
}
return 0;
};
const char* CvVSModule::GetParamStr(const char* name)
{
CvDefParam* p = GetParamPtr(name);
return p?p->Str:NULL;
}
void CvVSModule::SetParam(const char* name, double val)
{
CvDefParam* p = m_pParamList;
for(;p;p=p->next)
{
if(cv_stricmp(p->pName,name) != 0) continue;
if(p->pDouble)p->pDouble[0] = val;
if(p->pFloat)p->pFloat[0] = (float)val;
if(p->pInt)p->pInt[0] = cvRound(val);
}
}
void CvVSModule::SetParamStr(const char* name, const char* str)
{
CvDefParam* p = m_pParamList;
for(; p; p=p->next)
{
if(cv_stricmp(p->pName,name) != 0) continue;
if(p->pStr)
{
if(p->Str)free(p->Str);
p->Str = NULL;
if(str)p->Str = strdup(str);
p->pStr[0] = p->Str;
}
}
/* Convert to double and set: */
if(str) SetParam(name,atof(str));
}
void CvVSModule::TransferParamsFromChild(CvVSModule* pM, const char* prefix)
{
char tmp[1024];
const char* FN = NULL;
int i;
for(i=0;;++i)
{
const char* N = pM->GetParamName(i);
if(N == NULL) break;
FN = N;
if(prefix)
{
strcpy(tmp,prefix);
strcat(tmp,"_");
FN = strcat(tmp,N);
}
if(!IsParam(FN))
{
if(pM->GetParamStr(N))
{
AddParam(FN,(const char**)NULL);
}
else
{
AddParam(FN);
}
}
if(pM->GetParamStr(N))
{
const char* val = pM->GetParamStr(N);
SetParamStr(FN,val);
}
else
{
double val = pM->GetParam(N);
SetParam(FN,val);
}
CommentParam(FN, pM->GetParamComment(N));
}/* transfer next param */
}/* Transfer params */
void CvVSModule::TransferParamsToChild(CvVSModule* pM, char* prefix)
{
char tmp[1024];
int i;
for(i=0;;++i)
{
const char* N = pM->GetParamName(i);
if(N == NULL) break;
if(prefix)
{
strcpy(tmp,prefix);
strcat(tmp,"_");
strcat(tmp,N);
}
else
{
strcpy(tmp,N);
}
if(IsParam(tmp))
{
if(GetParamStr(tmp))
pM->SetParamStr(N,GetParamStr(tmp));
else
pM->SetParam(N,GetParam(tmp));
}
}/* Transfer next parameter */
pM->ParamUpdate();
}/* Transfer params */
void CvVSModule::ParamUpdate(){}
const char* CvVSModule::GetTypeName()
{
return m_pModuleTypeName;
}
int CvVSModule::IsModuleTypeName(const char* name)
{
return m_pModuleTypeName?(cv_stricmp(m_pModuleTypeName,name)==0):0;
}
char* CvVSModule::GetModuleName()
{
return m_pModuleName;
}
int CvVSModule::IsModuleName(const char* name)
{
return m_pModuleName?(cv_stricmp(m_pModuleName,name)==0):0;
}
void CvVSModule::SetNickName(const char* pStr)
{
if(m_pNickName)
free(m_pNickName);
m_pNickName = NULL;
if(pStr)
m_pNickName = strdup(pStr);
}
const char* CvVSModule::GetNickName()
{
return m_pNickName ? m_pNickName : "unknown";
}
void CvVSModule::SaveState(CvFileStorage*)
{
}
void CvVSModule::LoadState(CvFileStorage*, CvFileNode*)
{
}
/////////////////////////////////////////////////////////////////////
void cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, const char* desc, int num)
{
cvStartWriteStruct(fs,name,CV_NODE_SEQ|CV_NODE_FLOW);
cvWriteRawData(fs,addr,num,desc);
cvEndWriteStruct(fs);
}
void cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, const char* desc)
{
CvFileNode* pSeqNode = cvGetFileNodeByName(fs, node, name);
if(pSeqNode==NULL)
{
printf("WARNING!!! Can't read structure %s\n",name);
}
else
{
if(CV_NODE_IS_SEQ(pSeqNode->tag))
{
cvReadRawData( fs, pSeqNode, addr, desc );
}
else
{
printf("WARNING!!! Structure %s is not sequence and can not be read\n",name);
}
}
}
////////////////////////////// CvFGDetector ///////////////////////////////////////////
CvFGDetector::CvFGDetector()
{
SetTypeName("FGDetector");
}
void cvReleaseFGDetector(CvFGDetector** ppT )
{
ppT[0]->Release();
ppT[0] = 0;
}
///////////////////////////// CvBlobSeq ///////////////////////////////////////////////
CvBlobTrackSeq::CvBlobTrackSeq(int TrackSize)
{
m_pMem = cvCreateMemStorage();
m_pSeq = cvCreateSeq(0,sizeof(CvSeq),TrackSize,m_pMem);
}
CvBlobTrackSeq::~CvBlobTrackSeq()
{
Clear();
cvReleaseMemStorage(&m_pMem);
}
CvBlobTrack* CvBlobTrackSeq::GetBlobTrack(int TrackIndex)
{
return (CvBlobTrack*)cvGetSeqElem(m_pSeq,TrackIndex);
}
CvBlobTrack* CvBlobTrackSeq::GetBlobTrackByID(int TrackID)
{
int i;
for(i=0; i<m_pSeq->total; ++i)
{
CvBlobTrack* pP = GetBlobTrack(i);
if(pP && pP->TrackID == TrackID)
return pP;
}
return NULL;
}
void CvBlobTrackSeq::DelBlobTrack(int TrackIndex)
{
CvBlobTrack* pP = GetBlobTrack(TrackIndex);
if(pP && pP->pBlobSeq) delete pP->pBlobSeq;
cvSeqRemove(m_pSeq,TrackIndex);
}
void CvBlobTrackSeq::DelBlobTrackByID(int TrackID)
{
int i;
for(i=0; i<m_pSeq->total; ++i)
{
CvBlobTrack* pP = GetBlobTrack(i);
if(TrackID == pP->TrackID)
{
DelBlobTrack(i);
return;
}
}
}
void CvBlobTrackSeq::Clear()
{
int i;
for(i=GetBlobTrackNum();i>0;i--)
{
DelBlobTrack(i-1);
}
cvClearSeq(m_pSeq);
}
void CvBlobTrackSeq::AddBlobTrack(int TrackID, int StartFrame)
{
CvBlobTrack N;
N.TrackID = TrackID;
N.StartFrame = StartFrame;
N.pBlobSeq = new CvBlobSeq;
cvSeqPush(m_pSeq,&N);
}
int CvBlobTrackSeq::GetBlobTrackNum()
{
return m_pSeq->total;
}
void cvReleaseBlobDetector(CvBlobDetector** ppBD)
{
ppBD[0]->Release();
ppBD[0] = NULL;
}
///////////////////////////////////// CvObjectDetector /////////////////////////////////
CvObjectDetector::CvObjectDetector( const char* /*detector_file_name*/ )
{
}
CvObjectDetector::~CvObjectDetector()
{
}
/*
* Release the current detector and load new detector from file
* (if detector_file_name is not 0)
* Return true on success:
*/
bool CvObjectDetector::Load( const char* /*detector_file_name*/ )
{
return false;
}
/* Return min detector window size: */
CvSize CvObjectDetector::GetMinWindowSize() const
{
return cvSize(0,0);
}
/* Return max border: */
int CvObjectDetector::GetMaxBorderSize() const
{
return 0;
}
/*
* Detect the object on the image and push the detected
* blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
*/
void CvObjectDetector::Detect( const CvArr* /*img*/,
/* out */ CvBlobSeq* /*detected_blob_seq*/ )
{
}
//////////////////////////////// CvBlobTracker //////////////////////////////////////
CvBlobTracker::CvBlobTracker(){SetTypeName("BlobTracker");}
/* Process one blob (for multi hypothesis tracing): */
void CvBlobTracker::ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/)
{
CvBlob* pB;
int ID = 0;
assert(pBlob);
//pBlob->ID;
pB = GetBlob(BlobIndex);
if(pB)
pBlob[0] = pB[0];
pBlob->ID = ID;
}
/* Get confidence/wieght/probability (0-1) for blob: */
double CvBlobTracker::GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/)
{
return 1;
}
double CvBlobTracker::GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG)
{
int b,bN = pBlobList->GetBlobNum();
double W = 1;
for(b=0;b<bN;++b)
{
CvBlob* pB = pBlobList->GetBlob(b);
int BI = GetBlobIndexByID(pB->ID);
W *= GetConfidence(BI,pB,pImg,pImgFG);
}
return W;
}
void CvBlobTracker::UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/)
{
}
/* Update all blob models: */
void CvBlobTracker::Update(IplImage* pImg, IplImage* pImgFG)
{
int i;
for(i=GetBlobNum();i>0;i--)
{
CvBlob* pB=GetBlob(i-1);
UpdateBlob(i-1, pB, pImg, pImgFG);
}
}
/* Return pointer to blob by its unique ID: */
int CvBlobTracker::GetBlobIndexByID(int BlobID)
{
int i;
for(i=GetBlobNum();i>0;i--)
{
CvBlob* pB=GetBlob(i-1);
if(CV_BLOB_ID(pB) == BlobID) return i-1;
}
return -1;
}
/* Return pointer to blob by its unique ID: */
CvBlob* CvBlobTracker::GetBlobByID(int BlobID)
{
return GetBlob(GetBlobIndexByID(BlobID));
}
/* Delete blob by its ID: */
void CvBlobTracker::DelBlobByID(int BlobID)
{
DelBlob(GetBlobIndexByID(BlobID));
}
/* Set new parameters for specified (by index) blob: */
void CvBlobTracker::SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/)
{
}
/* Set new parameters for specified (by ID) blob: */
void CvBlobTracker::SetBlobByID(int BlobID, CvBlob* pBlob)
{
SetBlob(GetBlobIndexByID(BlobID),pBlob);
}
/* =============== MULTI HYPOTHESIS INTERFACE ================== */
/* Return number of position hyposetis of currently tracked blob: */
int CvBlobTracker::GetBlobHypNum(int /*BlobIdx*/)
{
return 1;
}
/* Return pointer to specified blob hypothesis by index blob: */
CvBlob* CvBlobTracker::GetBlobHyp(int BlobIndex, int /*hypothesis*/)
{
return GetBlob(BlobIndex);
}
/* Set new parameters for specified (by index) blob hyp
* (can be called several times for each hyp ):
*/
void CvBlobTracker::SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/)
{
}
void cvReleaseBlobTracker(CvBlobTracker**ppT )
{
ppT[0]->Release();
ppT[0] = 0;
}

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modules/video/src/blobtrackanalysis.cpp → modules/legacy/src/blobtrackanalysis.cpp
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modules/video/src/blobtrackanalysistrackdist.cpp → modules/legacy/src/blobtrackanalysistrackdist.cpp
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modules/video/src/blobtrackgen1.cpp → modules/legacy/src/blobtrackgen1.cpp
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modules/video/src/blobtrackgenyml.cpp → modules/legacy/src/blobtrackgenyml.cpp
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modules/video/src/blobtrackingcc.cpp → modules/legacy/src/blobtrackingcc.cpp
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modules/video/src/blobtrackingccwithcr.cpp → modules/legacy/src/blobtrackingccwithcr.cpp
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modules/video/src/blobtrackingkalman.cpp → modules/legacy/src/blobtrackingkalman.cpp
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modules/video/src/blobtrackingmsfg.cpp → modules/legacy/src/blobtrackingmsfg.cpp
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modules/video/src/blobtrackingmsfgs.cpp → modules/legacy/src/blobtrackingmsfgs.cpp
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modules/video/src/blobtrackpostprockalman.cpp → modules/legacy/src/blobtrackpostprockalman.cpp
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@ -0,0 +1,684 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// 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) 2008-2010, 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 Intel Corporation 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.
//
//M*/
#include "precomp.hpp"
CvMat cvMatArray( int rows, int cols, int type,
int count, void* data)
{
return cvMat( rows*count, cols, type, data );
}
double cvMean( const CvArr* image, const CvArr* mask )
{
CvScalar mean = cvAvg( image, mask );
return mean.val[0];
}
double cvSumPixels( const CvArr* image )
{
CvScalar scalar = cvSum( image );
return scalar.val[0];
}
void cvMean_StdDev( const CvArr* image, double* mean, double* sdv, const CvArr* mask)
{
CvScalar _mean, _sdv;
cvAvgSdv( image, &_mean, &_sdv, mask );
if( mean )
*mean = _mean.val[0];
if( sdv )
*sdv = _sdv.val[0];
}
void cvmPerspectiveProject( const CvMat* mat, const CvArr* src, CvArr* dst )
{
CvMat tsrc, tdst;
cvReshape( src, &tsrc, 3, 0 );
cvReshape( dst, &tdst, 3, 0 );
cvPerspectiveTransform( &tsrc, &tdst, mat );
}
void cvFillImage( CvArr* mat, double color )
{
cvSet( mat, cvColorToScalar(color, cvGetElemType(mat)), 0 );
}
/* Changes RNG range while preserving RNG state */
void cvRandSetRange( CvRandState* state, double param1, double param2, int index)
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRandSetRange", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
if( (unsigned)(index + 1) > 4 )
{
cvError( CV_StsOutOfRange, "cvRandSetRange", "index is not in -1..3", "cvcompat.h", 0 );
return;
}
if( index < 0 )
{
state->param[0].val[0] = state->param[0].val[1] =
state->param[0].val[2] = state->param[0].val[3] = param1;
state->param[1].val[0] = state->param[1].val[1] =
state->param[1].val[2] = state->param[1].val[3] = param2;
}
else
{
state->param[0].val[index] = param1;
state->param[1].val[index] = param2;
}
}
void cvRandInit( CvRandState* state, double param1, double param2,
int seed, int disttype)
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRandInit", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
if( disttype != CV_RAND_UNI && disttype != CV_RAND_NORMAL )
{
cvError( CV_StsBadFlag, "cvRandInit", "Unknown distribution type", "cvcompat.h", 0 );
return;
}
state->state = (uint64)(seed ? seed : -1);
state->disttype = disttype;
cvRandSetRange( state, param1, param2, -1 );
}
/* Fills array with random numbers */
void cvRand( CvRandState* state, CvArr* arr )
{
if( !state )
{
cvError( CV_StsNullPtr, "cvRand", "Null pointer to RNG state", "cvcompat.h", 0 );
return;
}
cvRandArr( &state->state, arr, state->disttype, state->param[0], state->param[1] );
}
void cvbRand( CvRandState* state, float* dst, int len )
{
CvMat mat = cvMat( 1, len, CV_32F, (void*)dst );
cvRand( state, &mat );
}
void cvbCartToPolar( const float* y, const float* x, float* magnitude, float* angle, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
CvMat mm = mx;
CvMat ma = mx;
my.data.fl = (float*)y;
mm.data.fl = (float*)magnitude;
ma.data.fl = (float*)angle;
cvCartToPolar( &mx, &my, &mm, angle ? &ma : NULL, 1 );
}
void cvbFastArctan( const float* y, const float* x, float* angle, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
CvMat ma = mx;
my.data.fl = (float*)y;
ma.data.fl = (float*)angle;
cvCartToPolar( &mx, &my, NULL, &ma, 1 );
}
void cvbSqrt( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, 0.5 );
}
void cvbInvSqrt( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, -0.5 );
}
void cvbReciprocal( const float* x, float* y, int len )
{
CvMat mx = cvMat( 1, len, CV_32F, (void*)x );
CvMat my = mx;
my.data.fl = (float*)y;
cvPow( &mx, &my, -1 );
}
void cvbFastExp( const float* x, double* y, int len )
{
int i;
for( i = 0; i < len; i++ )
y[i] = exp((double)x[i]);
}
void cvbFastLog( const double* x, float* y, int len )
{
int i;
for( i = 0; i < len; i++ )
y[i] = (float)log(x[i]);
}
CvRect cvContourBoundingRect( void* point_set, int update)
{
return cvBoundingRect( point_set, update );
}
double cvPseudoInverse( const CvArr* src, CvArr* dst )
{
return cvInvert( src, dst, CV_SVD );
}
/* Calculates exact convex hull of 2d point set */
void cvConvexHull( CvPoint* points, int num_points, CvRect*,
int orientation, int* hull, int* hullsize )
{
CvMat points1 = cvMat( 1, num_points, CV_32SC2, points );
CvMat hull1 = cvMat( 1, num_points, CV_32SC1, hull );
cvConvexHull2( &points1, &hull1, orientation, 0 );
*hullsize = hull1.cols;
}
void cvMinAreaRect( CvPoint* points, int n, int, int, int, int,
CvPoint2D32f* anchor, CvPoint2D32f* vect1, CvPoint2D32f* vect2 )
{
CvMat mat = cvMat( 1, n, CV_32SC2, points );
CvBox2D box = cvMinAreaRect2( &mat, 0 );
CvPoint2D32f pt[4];
cvBoxPoints( box, pt );
*anchor = pt[0];
vect1->x = pt[1].x - pt[0].x;
vect1->y = pt[1].y - pt[0].y;
vect2->x = pt[3].x - pt[0].x;
vect2->y = pt[3].y - pt[0].y;
}
void cvFitLine3D( CvPoint3D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line )
{
CvMat mat = cvMat( 1, count, CV_32FC3, points );
float _param = param != NULL ? *(float*)param : 0.f;
assert( dist != CV_DIST_USER );
cvFitLine( &mat, dist, _param, reps, aeps, line );
}
/* Fits a line into set of 2d points in a robust way (M-estimator technique) */
void cvFitLine2D( CvPoint2D32f* points, int count, int dist,
void *param, float reps, float aeps, float* line )
{
CvMat mat = cvMat( 1, count, CV_32FC2, points );
float _param = param != NULL ? *(float*)param : 0.f;
assert( dist != CV_DIST_USER );
cvFitLine( &mat, dist, _param, reps, aeps, line );
}
void cvFitEllipse( const CvPoint2D32f* points, int count, CvBox2D* box )
{
CvMat mat = cvMat( 1, count, CV_32FC2, (void*)points );
*box = cvFitEllipse2( &mat );
}
/* Projects 2d points to one of standard coordinate planes
(i.e. removes one of coordinates) */
void cvProject3D( CvPoint3D32f* points3D, int count,
CvPoint2D32f* points2D, int xIndx, int yIndx)
{
CvMat src = cvMat( 1, count, CV_32FC3, points3D );
CvMat dst = cvMat( 1, count, CV_32FC2, points2D );
float m[6] = {0,0,0,0,0,0};
CvMat M = cvMat( 2, 3, CV_32F, m );
assert( (unsigned)xIndx < 3 && (unsigned)yIndx < 3 );
m[xIndx] = m[yIndx+3] = 1.f;
cvTransform( &src, &dst, &M, NULL );
}
int cvHoughLines( CvArr* image, double rho,
double theta, int threshold,
float* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32FC2, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_STANDARD,
rho, theta, threshold, 0, 0 );
return linesMat.cols;
}
int cvHoughLinesP( CvArr* image, double rho,
double theta, int threshold,
int lineLength, int lineGap,
int* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32SC4, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_PROBABILISTIC,
rho, theta, threshold, lineLength, lineGap );
return linesMat.cols;
}
int cvHoughLinesSDiv( CvArr* image, double rho, int srn,
double theta, int stn, int threshold,
float* lines, int linesNumber )
{
CvMat linesMat = cvMat( 1, linesNumber, CV_32FC2, lines );
cvHoughLines2( image, &linesMat, CV_HOUGH_MULTI_SCALE,
rho, theta, threshold, srn, stn );
return linesMat.cols;
}
float cvCalcEMD( const float* signature1, int size1, const float* signature2, int size2,
int dims, int dist_type, CvDistanceFunction dist_func,
float* lower_bound, void* user_param)
{
CvMat sign1 = cvMat( size1, dims + 1, CV_32FC1, (void*)signature1 );
CvMat sign2 = cvMat( size2, dims + 1, CV_32FC1, (void*)signature2 );
return cvCalcEMD2( &sign1, &sign2, dist_type, dist_func, 0, 0, lower_bound, user_param );
}
void cvKMeans( int num_clusters, float** samples,
int num_samples, int vec_size,
CvTermCriteria termcrit, int* cluster_idx )
{
CvMat* samples_mat = cvCreateMat( num_samples, vec_size, CV_32FC1 );
CvMat cluster_idx_mat = cvMat( num_samples, 1, CV_32SC1, cluster_idx );
int i;
for( i = 0; i < num_samples; i++ )
memcpy( samples_mat->data.fl + i*vec_size, samples[i], vec_size*sizeof(float));
cvKMeans2( samples_mat, num_clusters, &cluster_idx_mat, termcrit, 1, 0, 0, 0, 0 );
cvReleaseMat( &samples_mat );
}
void cvStartScanGraph( CvGraph* graph, CvGraphScanner* scanner,
CvGraphVtx* vtx, int mask)
{
CvGraphScanner* temp_scanner;
if( !scanner )
cvError( CV_StsNullPtr, "cvStartScanGraph", "Null scanner pointer", "cvcompat.h", 0 );
temp_scanner = cvCreateGraphScanner( graph, vtx, mask );
*scanner = *temp_scanner;
cvFree( &temp_scanner );
}
void cvEndScanGraph( CvGraphScanner* scanner )
{
if( !scanner )
cvError( CV_StsNullPtr, "cvEndScanGraph", "Null scanner pointer", "cvcompat.h", 0 );
if( scanner->stack )
{
CvGraphScanner* temp_scanner = (CvGraphScanner*)cvAlloc( sizeof(*temp_scanner) );
*temp_scanner = *scanner;
cvReleaseGraphScanner( &temp_scanner );
memset( scanner, 0, sizeof(*scanner) );
}
}
/* old drawing functions */
void cvLineAA( CvArr* img, CvPoint pt1, CvPoint pt2, double color, int scale)
{
cvLine( img, pt1, pt2, cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
void cvCircleAA( CvArr* img, CvPoint center, int radius, double color, int scale)
{
cvCircle( img, center, radius, cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
void cvEllipseAA( CvArr* img, CvPoint center, CvSize axes,
double angle, double start_angle,
double end_angle, double color,
int scale)
{
cvEllipse( img, center, axes, angle, start_angle, end_angle,
cvColorToScalar(color, cvGetElemType(img)), 1, CV_AA, scale );
}
void cvPolyLineAA( CvArr* img, CvPoint** pts, int* npts, int contours,
int is_closed, double color, int scale )
{
cvPolyLine( img, pts, npts, contours, is_closed,
cvColorToScalar(color, cvGetElemType(img)),
1, CV_AA, scale );
}
void cvUnDistortOnce( const CvArr* src, CvArr* dst,
const float* intrinsic_matrix,
const float* distortion_coeffs,
int )
{
CvMat _a = cvMat( 3, 3, CV_32F, (void*)intrinsic_matrix );
CvMat _k = cvMat( 4, 1, CV_32F, (void*)distortion_coeffs );
cvUndistort2( src, dst, &_a, &_k, 0 );
}
/* the two functions below have quite hackerish implementations, use with care
(or, which is better, switch to cvUndistortInitMap and cvRemap instead */
void cvUnDistortInit( const CvArr*,
CvArr* undistortion_map,
const float* A, const float* k,
int)
{
union { uchar* ptr; float* fl; } data;
CvSize sz;
cvGetRawData( undistortion_map, &data.ptr, 0, &sz );
assert( sz.width >= 8 );
/* just save the intrinsic parameters to the map */
data.fl[0] = A[0]; data.fl[1] = A[4];
data.fl[2] = A[2]; data.fl[3] = A[5];
data.fl[4] = k[0]; data.fl[5] = k[1];
data.fl[6] = k[2]; data.fl[7] = k[3];
}
void cvUnDistort( const CvArr* src, CvArr* dst,
const CvArr* undistortion_map, int )
{
union { uchar* ptr; float* fl; } data;
float a[] = {0,0,0,0,0,0,0,0,1};
CvSize sz;
cvGetRawData( undistortion_map, &data.ptr, 0, &sz );
assert( sz.width >= 8 );
a[0] = data.fl[0]; a[4] = data.fl[1];
a[2] = data.fl[2]; a[5] = data.fl[3];
cvUnDistortOnce( src, dst, a, data.fl + 4, 1 );
}
/* Find fundamental matrix */
void cvFindFundamentalMatrix( int* points1, int* points2, int numpoints, int, float* matrix )
{
CvMat* pointsMat1;
CvMat* pointsMat2;
CvMat fundMatr = cvMat(3,3,CV_32F,matrix);
int i, curr = 0;
pointsMat1 = cvCreateMat(3,numpoints,CV_64F);
pointsMat2 = cvCreateMat(3,numpoints,CV_64F);
for( i = 0; i < numpoints; i++ )
{
cvmSet(pointsMat1,0,i,points1[curr]);//x
cvmSet(pointsMat1,1,i,points1[curr+1]);//y
cvmSet(pointsMat1,2,i,1.0);
cvmSet(pointsMat2,0,i,points2[curr]);//x
cvmSet(pointsMat2,1,i,points2[curr+1]);//y
cvmSet(pointsMat2,2,i,1.0);
curr += 2;
}
cvFindFundamentalMat(pointsMat1,pointsMat2,&fundMatr,CV_FM_RANSAC,1,0.99,0);
cvReleaseMat(&pointsMat1);
cvReleaseMat(&pointsMat2);
}
int cvFindChessBoardCornerGuesses( const void* arr, void*,
CvMemStorage*, CvSize pattern_size,
CvPoint2D32f* corners, int* corner_count )
{
return cvFindChessboardCorners( arr, pattern_size, corners,
corner_count, CV_CALIB_CB_ADAPTIVE_THRESH );
}
/* Calibrates camera using multiple views of calibration pattern */
void cvCalibrateCamera( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D32f* _image_points, CvPoint3D32f* _object_points,
float* _distortion_coeffs, float* _camera_matrix, float* _translation_vectors,
float* _rotation_matrices, int flags )
{
int i, total = 0;
CvMat point_counts = cvMat( image_count, 1, CV_32SC1, _point_counts );
CvMat image_points, object_points;
CvMat dist_coeffs = cvMat( 4, 1, CV_32FC1, _distortion_coeffs );
CvMat camera_matrix = cvMat( 3, 3, CV_32FC1, _camera_matrix );
CvMat rotation_matrices = cvMat( image_count, 9, CV_32FC1, _rotation_matrices );
CvMat translation_vectors = cvMat( image_count, 3, CV_32FC1, _translation_vectors );
for( i = 0; i < image_count; i++ )
total += _point_counts[i];
image_points = cvMat( total, 1, CV_32FC2, _image_points );
object_points = cvMat( total, 1, CV_32FC3, _object_points );
cvCalibrateCamera2( &object_points, &image_points, &point_counts, image_size,
&camera_matrix, &dist_coeffs, &rotation_matrices, &translation_vectors,
flags );
}
void cvCalibrateCamera_64d( int image_count, int* _point_counts,
CvSize image_size, CvPoint2D64f* _image_points, CvPoint3D64f* _object_points,
double* _distortion_coeffs, double* _camera_matrix, double* _translation_vectors,
double* _rotation_matrices, int flags )
{
int i, total = 0;
CvMat point_counts = cvMat( image_count, 1, CV_32SC1, _point_counts );
CvMat image_points, object_points;
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion_coeffs );
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, _camera_matrix );
CvMat rotation_matrices = cvMat( image_count, 9, CV_64FC1, _rotation_matrices );
CvMat translation_vectors = cvMat( image_count, 3, CV_64FC1, _translation_vectors );
for( i = 0; i < image_count; i++ )
total += _point_counts[i];
image_points = cvMat( total, 1, CV_64FC2, _image_points );
object_points = cvMat( total, 1, CV_64FC3, _object_points );
cvCalibrateCamera2( &object_points, &image_points, &point_counts, image_size,
&camera_matrix, &dist_coeffs, &rotation_matrices, &translation_vectors,
flags );
}
/* Find 3d position of object given intrinsic camera parameters,
3d model of the object and projection of the object into view plane */
void cvFindExtrinsicCameraParams( int point_count,
CvSize image_size, CvPoint2D32f* _image_points,
CvPoint3D32f* _object_points, float* focal_length,
CvPoint2D32f principal_point, float* _distortion_coeffs,
float* _rotation_vector, float* _translation_vector )
{
CvMat image_points = cvMat( point_count, 1, CV_32FC2, _image_points );
CvMat object_points = cvMat( point_count, 1, CV_32FC3, _object_points );
CvMat dist_coeffs = cvMat( 4, 1, CV_32FC1, _distortion_coeffs );
float a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_32FC1, a );
CvMat rotation_vector = cvMat( 1, 1, CV_32FC3, _rotation_vector );
CvMat translation_vector = cvMat( 1, 1, CV_32FC3, _translation_vector );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.f;
a[8] = 1.f;
cvFindExtrinsicCameraParams2( &object_points, &image_points, &camera_matrix,
&dist_coeffs, &rotation_vector, &translation_vector, 0 );
}
/* Variant of the previous function that takes double-precision parameters */
void cvFindExtrinsicCameraParams_64d( int point_count,
CvSize image_size, CvPoint2D64f* _image_points,
CvPoint3D64f* _object_points, double* focal_length,
CvPoint2D64f principal_point, double* _distortion_coeffs,
double* _rotation_vector, double* _translation_vector )
{
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion_coeffs );
double a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, a );
CvMat rotation_vector = cvMat( 1, 1, CV_64FC3, _rotation_vector );
CvMat translation_vector = cvMat( 1, 1, CV_64FC3, _translation_vector );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.;
a[8] = 1.;
cvFindExtrinsicCameraParams2( &object_points, &image_points, &camera_matrix,
&dist_coeffs, &rotation_vector, &translation_vector, 0 );
}
/* Converts rotation_matrix matrix to rotation_matrix vector or vice versa */
void cvRodrigues( CvMat* rotation_matrix, CvMat* rotation_vector,
CvMat* jacobian, int conv_type )
{
if( conv_type == CV_RODRIGUES_V2M )
cvRodrigues2( rotation_vector, rotation_matrix, jacobian );
else
cvRodrigues2( rotation_matrix, rotation_vector, jacobian );
}
/* Does reprojection of 3d object points to the view plane */
void cvProjectPoints( int point_count, CvPoint3D64f* _object_points,
double* _rotation_vector, double* _translation_vector,
double* focal_length, CvPoint2D64f principal_point,
double* _distortion, CvPoint2D64f* _image_points,
double* _deriv_points_rotation_matrix,
double* _deriv_points_translation_vect,
double* _deriv_points_focal,
double* _deriv_points_principal_point,
double* _deriv_points_distortion_coeffs )
{
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat rotation_vector = cvMat( 3, 1, CV_64FC1, _rotation_vector );
CvMat translation_vector = cvMat( 3, 1, CV_64FC1, _translation_vector );
double a[9];
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, a );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion );
CvMat dpdr = cvMat( 2*point_count, 3, CV_64FC1, _deriv_points_rotation_matrix );
CvMat dpdt = cvMat( 2*point_count, 3, CV_64FC1, _deriv_points_translation_vect );
CvMat dpdf = cvMat( 2*point_count, 2, CV_64FC1, _deriv_points_focal );
CvMat dpdc = cvMat( 2*point_count, 2, CV_64FC1, _deriv_points_principal_point );
CvMat dpdk = cvMat( 2*point_count, 4, CV_64FC1, _deriv_points_distortion_coeffs );
a[0] = focal_length[0]; a[4] = focal_length[1];
a[2] = principal_point.x; a[5] = principal_point.y;
a[1] = a[3] = a[6] = a[7] = 0.;
a[8] = 1.;
cvProjectPoints2( &object_points, &rotation_vector, &translation_vector,
&camera_matrix, &dist_coeffs, &image_points,
&dpdr, &dpdt, &dpdf, &dpdc, &dpdk, 0 );
}
/* Simpler version of the previous function */
void cvProjectPointsSimple( int point_count, CvPoint3D64f* _object_points,
double* _rotation_matrix, double* _translation_vector,
double* _camera_matrix, double* _distortion, CvPoint2D64f* _image_points )
{
CvMat object_points = cvMat( point_count, 1, CV_64FC3, _object_points );
CvMat image_points = cvMat( point_count, 1, CV_64FC2, _image_points );
CvMat rotation_matrix = cvMat( 3, 3, CV_64FC1, _rotation_matrix );
CvMat translation_vector = cvMat( 3, 1, CV_64FC1, _translation_vector );
CvMat camera_matrix = cvMat( 3, 3, CV_64FC1, _camera_matrix );
CvMat dist_coeffs = cvMat( 4, 1, CV_64FC1, _distortion );
cvProjectPoints2( &object_points, &rotation_matrix, &translation_vector,
&camera_matrix, &dist_coeffs, &image_points,
0, 0, 0, 0, 0, 0 );
}

0
modules/video/src/enteringblobdetection.cpp → modules/legacy/src/enteringblobdetection.cpp
View File

0
modules/video/src/enteringblobdetectionreal.cpp → modules/legacy/src/enteringblobdetectionreal.cpp
View File

8
modules/legacy/src/precomp.hpp
View File

@ -50,8 +50,14 @@
#endif
#include "opencv2/legacy/legacy.hpp"
#include "opencv2/video/tracking.hpp"
#include "opencv2/core/internal.hpp"
#include "opencv2/video/tracking.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/legacy/blobtrack.hpp"
#include "opencv2/legacy/compat.hpp"
#include "_matrix.h"
typedef unsigned short ushort;

0
modules/video/src/testseq.cpp → modules/legacy/src/testseq.cpp
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1
modules/video/include/opencv2/video/background_segm.hpp
View File

@ -340,7 +340,6 @@ CVAPI(CvSeq*) cvSegmentFGMask( CvArr *fgmask, int poly1Hull0 CV_DEFAULT(1),
CvMemStorage* storage CV_DEFAULT(0),
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
#ifdef __cplusplus
}

14
modules/video/src/bgfg_common.cpp
View File

@ -40,6 +40,20 @@
#include "precomp.hpp"
void cvReleaseBGStatModel( CvBGStatModel** bg_model )
{
if( bg_model && *bg_model && (*bg_model)->release )
(*bg_model)->release( bg_model );
}
int cvUpdateBGStatModel( IplImage* current_frame,
CvBGStatModel* bg_model,
double learningRate )
{
return bg_model && bg_model->update ? bg_model->update( current_frame, bg_model, learningRate ) : 0;
}
// Function cvRefineForegroundMaskBySegm preforms FG post-processing based on segmentation
// (all pixels of the segment will be classified as FG if majority of pixels of the region are FG).
// parameters:

1
modules/video/src/precomp.hpp
View File

@ -52,7 +52,6 @@
#endif
#include "opencv2/video/tracking.hpp"
#include "opencv2/video/blobtrack.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/core/internal.hpp"