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opencv/modules/legacy/src/testseq.cpp
Roman Donchenko e9a28f66ee Normalized file endings.
2013-08-21 18:59:25 +04:00

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/*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.
//
//
// Intel License Agreement
//
// Copyright (C) 2000, Intel Corporation, 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*/
/*
This file contain implementation of virtual interface of CvTestSeq
*/
#include "precomp.hpp" /* virtual interface if CvTestSeq */
void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_state = NULL);
#define FG_BG_THRESHOLD 3
#define SRC_TYPE_AVI 1
#define SRC_TYPE_IMAGE 0
/* Transformation structure: */
typedef struct CvTSTrans
{
float T[6]; /* geometry transformation */
CvPoint2D32f Shift;
CvPoint2D32f Scale;
float I;
float C;
float GN; /* standart deviation of added gaussian noise */
float NoiseAmp; /* amplifier of noise power */
float angle;
} CvTSTrans;
static void SET_TRANS_0(CvTSTrans *pT)
{
memset(pT,0,sizeof(CvTSTrans));
pT->C = 1;
pT->Scale.x = 1;
pT->Scale.y = 1;
pT->T[4] = pT->T[0] = 1;
pT->NoiseAmp = 1;
}
/* === Some definitions and functions for transformation update: ===*/
#define P_ANGLE 0
#define P_S 1
#define P_SX 2
#define P_SY 3
#define P_DX 4
#define P_DY 5
#define P_I 6
#define P_C 7
#define P_GN 8
#define P_NAmp 9
static const char* param_name[] = {"angle","s","sx","sy","dx","dy","I","C","GN","NoiseAmp", NULL};
static float param_defval[] = { 0, 1, 1, 1, 0, 0, 0, 1, 0, 1};
static void icvUpdateTrans(CvTSTrans* pTrans, int param, double val, float MaxX, float MaxY)
{
assert(pTrans);
if(param==P_ANGLE)
{
double C = cos(3.1415926535897932384626433832795*val/180.0);
double S = sin(3.1415926535897932384626433832795*val/180.0);
float* T = pTrans->T;
double TR[6];
int i;
pTrans->angle = (float)(pTrans->angle + val);
TR[0] = C*T[0]-S*T[3];
TR[1] = C*T[1]-S*T[4];
TR[2] = C*T[2]-S*T[5];
TR[3] = S*T[0]+C*T[3];
TR[4] = S*T[1]+C*T[4];
TR[5] = S*T[2]+C*T[5];
for(i=0;i<6;++i)T[i]=(float)TR[i];
}
if(param==P_S)
{
int i;
for(i=0;i<6;++i)pTrans->T[i] = (float)(pTrans->T[i]*val);
pTrans->Scale.x = (float)(pTrans->Scale.x *val);
pTrans->Scale.y = (float)(pTrans->Scale.y *val);
pTrans->Shift.x = (float)(pTrans->Shift.x *val);
pTrans->Shift.y = (float)(pTrans->Shift.y *val);
}
if(param==P_SX)
{
int i;
for(i=0;i<3;++i)pTrans->T[i] = (float)(pTrans->T[i]*val);
pTrans->Scale.x = (float)(pTrans->Scale.x*val);
pTrans->Shift.x = (float)(pTrans->Shift.x*val);
}
if(param==P_SY)
{
int i;
for(i=0;i<3;++i)pTrans->T[i+3] = (float)(pTrans->T[i+3]*val);
pTrans->Scale.y = (float)(pTrans->Scale.y *val);
pTrans->Shift.y = (float)(pTrans->Shift.y *val);
}
if(param==P_DX)
{
pTrans->Shift.x = (float)(pTrans->Shift.x +val);
pTrans->T[2] = (float)(pTrans->T[2] +val*MaxX);
}
if(param==P_DY)
{
pTrans->Shift.y = (float)(pTrans->Shift.y +val);
pTrans->T[5] = (float)(pTrans->T[5] +val*MaxY);
}
if(param==P_C)
{
pTrans->C = (float)(pTrans->C *val);
pTrans->I = (float)(pTrans->I *val);
}
if(param==P_I) pTrans->I = (float)(pTrans->I +val);
if(param==P_GN)
{
pTrans->GN = (float)sqrt(val*val+pTrans->GN*pTrans->GN);
}
if(param==P_NAmp) pTrans->NoiseAmp = (float)(pTrans->NoiseAmp *val);
} /* icvUpdateTrans */
/* === END some defenitions and function for transformation update ===*/
typedef struct CvTestSeqElem
{
const char* pObjName;
const char* pFileName;
int type; /* video or image */
CvPoint2D32f* pPos; /* positions of object in sequence */
int PosNum;
CvPoint2D32f* pSize; /* sizes of object in sequence */
int SizeNum;
CvTSTrans* pTrans; /* transforation of image in sequence */
int TransNum;
int ShiftByPos;
CvPoint2D32f ShiftBegin;
CvPoint2D32f ShiftEnd;
int FrameBegin;
int FrameNum;
IplImage* pImg;
IplImage* pImgMask;
void* pAVI;
//CvCapture* pAVI;
int AVILen;
int BG; /* flag is it background (1) or foreground (0) */
int Mask; /* flag is it foreground mask (1) or usual video (0) */
CvTestSeqElem *next;
int noise_type;
CvRandState rnd_state;
int ObjID;
} CvTestSeqElem;
/* Test seq main structure: */
typedef struct CvTestSeq_
{
int ID;
CvFileStorage* pFileStorage;
CvTestSeqElem* pElemList;
int ListNum;
IplImage* pImg;
IplImage* pImgMask;
int CurFrame;
int FrameNum;
int noise_type;
double noise_ampl;
float IVar_DI;
float IVar_MinI;
float IVar_MaxI;
float IVar_CurDI;
float IVar_CurI;
int ObjNum;
} CvTestSeq_;
CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq){return cvSize(((CvTestSeq_*)(pTestSeq))->pImg->width,((CvTestSeq_*)(pTestSeq))->pImg->height);}
int cvTestSeqFrameNum(CvTestSeq* pTestSeq){return ((CvTestSeq_*)(pTestSeq))->FrameNum;}
static void icvTestSeqCreateMask(IplImage* pImg,IplImage* pImgMask, int threshold)
{
if(pImg->nChannels > 1)
{
cvCvtColor( pImg,pImgMask,CV_BGR2GRAY);
cvThreshold(pImgMask,pImgMask,threshold,255,CV_THRESH_BINARY);
}
else
{
cvThreshold(pImg,pImgMask,threshold,255,CV_THRESH_BINARY);
}
} /* icvTestSeqCreateMask */
static void icvTestSeqQureyFrameElem(CvTestSeqElem* p, int /*frame*/)
{ /* Read next frame from avi for one record: */
if(p->type == SRC_TYPE_AVI)
{
IplImage* pI = NULL;
//int frameNum = p->AVILen;
if(p->pAVI == NULL && p->pFileName)
{ /* Open avi file if necessary: */
p->pAVI = 0;//cvCaptureFromFile(p->pFileName);
if(p->pAVI == NULL)
{
printf("WARNING!!! Can not open avi file %s\n",p->pFileName);
return;
}
} /* Open avi file if necessary. */
assert(p->pAVI);
//if(frame >= frameNum)
{ /* Set new position: */
//int N = frame%frameNum;
/*if( N==0 ||
N != (int)cvGetCaptureProperty(p->pAVI,CV_CAP_PROP_POS_FRAMES))
{
cvSetCaptureProperty(p->pAVI,CV_CAP_PROP_POS_FRAMES,N);
}*/
} /* Set new position. */
//pI = cvQueryFrame(p->pAVI);
if(pI)
{
if(pI->origin != p->pImg->origin)
cvFlip( pI, p->pImg, 0 );
else
cvCopy(pI, p->pImg);
}
if(p->pImg)
{
if(p->pImgMask==NULL)
{
p->pImgMask = cvCreateImage(
cvSize(p->pImg->width,p->pImg->height),
IPL_DEPTH_8U,1);
}
icvTestSeqCreateMask(p->pImg,p->pImgMask,p->Mask?128:FG_BG_THRESHOLD);
}
}
} /* icvTestSeqQureyFrameElem */
/*------------- Recursive function to read all images, ------------------------*/
/*------------- videos and objects from config file. ------------------------*/
static CvTestSeqElem* icvTestSeqReadElemAll(CvTestSeq_* pTS, CvFileStorage* fs, const char* name);
static void icvTestSeqAllocTrans(CvTestSeqElem* p)
{ /* Allocate transformation array if necessary */
/* work with transformation */
if(p->pTrans == NULL/* && p->FrameNum>0*/)
{ /* Allocate transformation array: */
int num = MAX(1,p->FrameNum);
p->pTrans = (CvTSTrans*)cvAlloc(sizeof(CvTSTrans)*num);
p->TransNum = num;
while(num--)SET_TRANS_0(p->pTrans+num);
}
if(p->FrameNum > p->TransNum)
{ /* Allocate new transformation array: */
int i;
int num = p->FrameNum;
CvTSTrans* pNewTrans = (CvTSTrans*)cvAlloc(sizeof(CvTSTrans)*num);
for(i=0; i<num; ++i)
{
if(p->pTrans)
pNewTrans[i] = p->pTrans[i%p->TransNum];
else
SET_TRANS_0(pNewTrans+i);
}
if(p->pTrans)cvFree(&p->pTrans);
p->pTrans = pNewTrans;
p->TransNum = num;
} /* Allocate new transformation array. */
} /* Allocate transformation array if necessary. */
static CvTestSeqElem* icvTestSeqReadElemOne(CvTestSeq_* pTS, CvFileStorage* fs, CvFileNode* node)
{
int noise_type = CV_NOISE_NONE;;
CvTestSeqElem* pElem = NULL;
const char* pVideoName = cvReadStringByName( fs, node,"Video", NULL);
const char* pVideoObjName = cvReadStringByName( fs, node,"VideoObj", NULL);
if(pVideoName)
{ /* Check to noise flag: */
if( cv_stricmp(pVideoName,"noise_gaussian") == 0 ||
cv_stricmp(pVideoName,"noise_normal") == 0) noise_type = CV_NOISE_GAUSSIAN;
if( cv_stricmp(pVideoName,"noise_uniform") == 0) noise_type = CV_NOISE_UNIFORM;
if( cv_stricmp(pVideoName,"noise_speckle") == 0) noise_type = CV_NOISE_SPECKLE;
if( cv_stricmp(pVideoName,"noise_salt_and_pepper") == 0) noise_type = CV_NOISE_SALT_AND_PEPPER;
}
if((pVideoName || pVideoObjName ) && noise_type == CV_NOISE_NONE)
{ /* Read other elements: */
if(pVideoName) pElem = icvTestSeqReadElemAll(pTS, fs, pVideoName);
if(pVideoObjName)
{
CvTestSeqElem* pE;
pElem = icvTestSeqReadElemAll(pTS, fs, pVideoObjName);
for(pE=pElem;pE;pE=pE->next)
{
pE->ObjID = pTS->ObjNum;
pE->pObjName = pVideoObjName;
}
pTS->ObjNum++;
}
} /* Read other elements. */
else
{ /* Create new element: */
CvFileNode* pPosNode = cvGetFileNodeByName( fs, node,"Pos");
CvFileNode* pSizeNode = cvGetFileNodeByName( fs, node,"Size");
int AutoSize = (pSizeNode && CV_NODE_IS_STRING(pSizeNode->tag) && cv_stricmp("auto",cvReadString(pSizeNode,""))==0);
int AutoPos = (pPosNode && CV_NODE_IS_STRING(pPosNode->tag) && cv_stricmp("auto",cvReadString(pPosNode,""))==0);
const char* pFileName = cvReadStringByName( fs, node,"File", NULL);
pElem = (CvTestSeqElem*)cvAlloc(sizeof(CvTestSeqElem));
memset(pElem,0,sizeof(CvTestSeqElem));
pElem->ObjID = -1;
pElem->noise_type = noise_type;
cvRandInit( &pElem->rnd_state, 1, 0, 0,CV_RAND_NORMAL);
if(pFileName && pElem->noise_type == CV_NOISE_NONE)
{ /* If AVI or BMP: */
size_t l = strlen(pFileName);
pElem->pFileName = pFileName;
pElem->type = SRC_TYPE_IMAGE;
if(cv_stricmp(".avi",pFileName+l-4) == 0)pElem->type = SRC_TYPE_AVI;
if(pElem->type == SRC_TYPE_IMAGE)
{
//pElem->pImg = cvLoadImage(pFileName);
if(pElem->pImg)
{
pElem->FrameNum = 1;
if(pElem->pImgMask)cvReleaseImage(&(pElem->pImgMask));
pElem->pImgMask = cvCreateImage(
cvSize(pElem->pImg->width,pElem->pImg->height),
IPL_DEPTH_8U,1);
icvTestSeqCreateMask(pElem->pImg,pElem->pImgMask,FG_BG_THRESHOLD);
}
}
if(pElem->type == SRC_TYPE_AVI && pFileName)
{
//pElem->pAVI = cvCaptureFromFile(pFileName);
if(pElem->pAVI)
{
IplImage* pImg = 0;//cvQueryFrame(pElem->pAVI);
pElem->pImg = cvCloneImage(pImg);
pElem->pImg->origin = 0;
//cvSetCaptureProperty(pElem->pAVI,CV_CAP_PROP_POS_FRAMES,0);
pElem->FrameBegin = 0;
pElem->AVILen = pElem->FrameNum = 0;//(int)cvGetCaptureProperty(pElem->pAVI, CV_CAP_PROP_FRAME_COUNT);
//cvReleaseCapture(&pElem->pAVI);
pElem->pAVI = NULL;
}
else
{
printf("WARNING!!! Cannot open avi file %s\n",pFileName);
}
}
} /* If AVI or BMP. */
if(pPosNode)
{ /* Read positions: */
if(CV_NODE_IS_SEQ(pPosNode->tag))
{
int num = pPosNode->data.seq->total;
pElem->pPos = (CvPoint2D32f*)cvAlloc(sizeof(float)*num);
cvReadRawData( fs, pPosNode, pElem->pPos, "f" );
pElem->PosNum = num/2;
if(pElem->FrameNum == 0) pElem->FrameNum = pElem->PosNum;
}
}
if(pSizeNode)
{ /* Read sizes: */
if(CV_NODE_IS_SEQ(pSizeNode->tag))
{
int num = pSizeNode->data.seq->total;
pElem->pSize = (CvPoint2D32f*)cvAlloc(sizeof(float)*num);
cvReadRawData( fs, pSizeNode, pElem->pSize, "f" );
pElem->SizeNum = num/2;
}
}
if(AutoPos || AutoSize)
{ /* Auto size and pos: */
int i;
int num = (pElem->type == SRC_TYPE_AVI)?pElem->AVILen:1;
if(AutoSize)
{
pElem->pSize = (CvPoint2D32f*)cvAlloc(sizeof(CvPoint2D32f)*num);
pElem->SizeNum = num;
}
if(AutoPos)
{
pElem->pPos = (CvPoint2D32f*)cvAlloc(sizeof(CvPoint2D32f)*num);
pElem->PosNum = num;
}
for(i=0; i<num; ++i)
{
IplImage* pFG = NULL;
CvPoint2D32f* pPos = AutoPos?(pElem->pPos + i):NULL;
CvPoint2D32f* pSize = AutoSize?(pElem->pSize + i):NULL;
icvTestSeqQureyFrameElem(pElem,i);
pFG = pElem->pImgMask;
if(pPos)
{
pPos->x = 0.5f;
pPos->y = 0.5f;
}
if(pSize)
{
pSize->x = 0;
pSize->y = 0;
}
if(pFG)
{
double M00;
CvMoments m;
cvMoments( pElem->pImgMask, &m, 0 );
M00 = cvGetSpatialMoment( &m, 0, 0 );
if(M00 > 0 && pSize )
{
double X = cvGetSpatialMoment( &m, 1, 0 )/M00;
double Y = cvGetSpatialMoment( &m, 0, 1 )/M00;
double XX = (cvGetSpatialMoment( &m, 2, 0 )/M00) - X*X;
double YY = (cvGetSpatialMoment( &m, 0, 2 )/M00) - Y*Y;
pSize->x = (float)(4*sqrt(XX))/(pElem->pImgMask->width-1);
pSize->y = (float)(4*sqrt(YY))/(pElem->pImgMask->height-1);
}
if(M00 > 0 && pPos)
{
pPos->x = (float)(cvGetSpatialMoment( &m, 1, 0 )/(M00*(pElem->pImgMask->width-1)));
pPos->y = (float)(cvGetSpatialMoment( &m, 0, 1 )/(M00*(pElem->pImgMask->height-1)));
}
if(pPos)
{ /* Another way to calculate y pos
* using object median:
*/
int y0=0, y1=pFG->height-1;
for(y0=0; y0<pFG->height; ++y0)
{
CvMat tmp;
CvScalar s = cvSum(cvGetRow(pFG, &tmp, y0));
if(s.val[0] > 255*7) break;
}
for(y1=pFG->height-1; y1>0; --y1)
{
CvMat tmp;
CvScalar s = cvSum(cvGetRow(pFG, &tmp, y1));
if(s.val[0] > 255*7) break;
}
pPos->y = (y0+y1)*0.5f/(pFG->height-1);
}
} /* pFG */
} /* Next frame. */
//if(pElem->pAVI) cvReleaseCapture(&pElem->pAVI);
pElem->pAVI = NULL;
} /* End auto position creation. */
} /* Create new element. */
if(pElem)
{ /* Read transforms and: */
int FirstFrame, LastFrame;
CvTestSeqElem* p=pElem;
CvFileNode* pTransNode = NULL;
CvFileNode* pS = NULL;
int ShiftByPos = 0;
int KeyFrames[1024];
CvSeq* pTransSeq = NULL;
int KeyFrameNum = 0;
pTransNode = cvGetFileNodeByName( fs, node,"Trans");
while( pTransNode &&
CV_NODE_IS_STRING(pTransNode->tag) &&
cv_stricmp("auto",cvReadString(pTransNode,""))!=0)
{ /* Trans is reference: */
pTransNode = cvGetFileNodeByName( fs, NULL,cvReadString(pTransNode,""));
}
pS = cvGetFileNodeByName( fs, node,"Shift");
ShiftByPos = 0;
pTransSeq = pTransNode?(CV_NODE_IS_SEQ(pTransNode->tag)?pTransNode->data.seq:NULL):NULL;
KeyFrameNum = pTransSeq?pTransSeq->total:1;
if( (pS && CV_NODE_IS_STRING(pS->tag) && cv_stricmp("auto",cvReadString(pS,""))==0)
||(pTransNode && CV_NODE_IS_STRING(pTransNode->tag) && cv_stricmp("auto",cvReadString(pTransNode,""))==0))
{
ShiftByPos = 1;
}
FirstFrame = pElem->FrameBegin;
LastFrame = pElem->FrameBegin+pElem->FrameNum-1;
/* Calculate length of video and reallocate
* transformation array:
*/
for(p=pElem; p; p=p->next)
{
int v;
v = cvReadIntByName( fs, node, "BG", -1 );
if(v!=-1)p->BG = v;
v = cvReadIntByName( fs, node, "Mask", -1 );
if(v!=-1)p->Mask = v;
p->FrameBegin += cvReadIntByName( fs, node, "FrameBegin", 0 );
p->FrameNum = cvReadIntByName( fs, node, "FrameNum", p->FrameNum );
p->FrameNum = cvReadIntByName( fs, node, "Dur", p->FrameNum );
{
int lastFrame = cvReadIntByName( fs, node, "LastFrame", p->FrameBegin+p->FrameNum-1 );
p->FrameNum = MIN(p->FrameNum,lastFrame - p->FrameBegin+1);
}
icvTestSeqAllocTrans(p);
{ /* New range estimation: */
int LF = p->FrameBegin+p->FrameNum-1;
if(p==pElem || FirstFrame > p->FrameBegin)FirstFrame = p->FrameBegin;
if(p==pElem || LastFrame < LF)LastFrame = LF;
} /* New range estimation. */
} /* End allocate new transfrom array. */
if(ShiftByPos)
{
for(p=pElem;p;p=p->next)
{ /* Modify transformation to make autoshift: */
int i;
int num = p->FrameNum;
assert(num <= p->TransNum);
p->TransNum = MAX(1,num);
for(i=0; i<num; ++i)
{
CvTSTrans* pT = p->pTrans+i;
//float t = (num>1)?((float)i/(num-1)):0.0f;
float newx = p->pPos[i%p->PosNum].x;
float newy = p->pPos[i%p->PosNum].y;
pT->Shift.x = -newx*pT->Scale.x;
pT->Shift.y = -newy*pT->Scale.y;
if(p->pImg)
{
newx *= p->pImg->width-1;
newy *= p->pImg->height-1;
}
pT->T[2] = -(pT->T[0]*newx+pT->T[1]*newy);
pT->T[5] = -(pT->T[3]*newx+pT->T[4]*newy);
}
} /* Modify transformation old. */
} /* Next record. */
/* Initialize frame number array: */
KeyFrames[0] = FirstFrame;
if(pTransSeq&&KeyFrameNum>1)
{
int i0,i1;
for(int i=0; i<KeyFrameNum; ++i)
{
CvFileNode* pTN = (CvFileNode*)cvGetSeqElem(pTransSeq,i);
KeyFrames[i] = cvReadIntByName(fs,pTN,"frame",-1);
}
if(KeyFrames[0]<0)KeyFrames[0]=FirstFrame;
if(KeyFrames[KeyFrameNum-1]<0)KeyFrames[KeyFrameNum-1]=LastFrame;
for(i0=0, i1=1; i1<KeyFrameNum;)
{
for(i1=i0+1; i1<KeyFrameNum && KeyFrames[i1]<0; i1++) {}
assert(i1<KeyFrameNum);
assert(i1>i0);
for(int i=i0+1; i<i1; ++i)
{
KeyFrames[i] = cvRound(KeyFrames[i0] + (float)(i-i0)*(float)(KeyFrames[i1] - KeyFrames[i0])/(float)(i1-i0));
}
i0 = i1;
i1++;
} /* Next key run. */
} /* Initialize frame number array. */
if(pTransNode || pTransSeq)
{ /* More complex transform. */
int param;
CvFileNode* pTN = pTransSeq?(CvFileNode*)cvGetSeqElem(pTransSeq,0):pTransNode;
for(p=pElem; p; p=p->next)
{
//int trans_num = p->TransNum;
for(param=0; param_name[param]; ++param)
{
const char* name = param_name[param];
float defv = param_defval[param];
if(KeyFrameNum==1)
{ /* Only one transform record: */
int i;
double val;
CvFileNode* fnode = cvGetFileNodeByName( fs, pTN,name);
if(fnode == NULL) continue;
val = cvReadReal(fnode,defv);
for(i=0; i<p->TransNum; ++i)
{
icvUpdateTrans(
p->pTrans+i, param, val,
p->pImg?(float)(p->pImg->width-1):1.0f,
p->pImg?(float)(p->pImg->height-1):1.0f);
}
} /* Next record. */
else
{ /* Several transforms: */
int i0,i1;
double v0;
double v1;
CvFileNode* pTN1 = (CvFileNode*)cvGetSeqElem(pTransSeq,0);
v0 = cvReadRealByName(fs, pTN1,name,defv);
for(i1=1,i0=0; i1<KeyFrameNum; ++i1)
{
int f0,f1;
int i;
CvFileNode* pTN2 = (CvFileNode*)cvGetSeqElem(pTransSeq,i1);
CvFileNode* pVN = cvGetFileNodeByName(fs,pTN2,name);
if(pVN)v1 = cvReadReal(pVN,defv);
else if(pVN == NULL && i1 == KeyFrameNum-1) v1 = defv;
else continue;
f0 = KeyFrames[i0];
f1 = KeyFrames[i1];
if(i1==(KeyFrameNum-1)) f1++;
for(i=f0; i<f1; ++i)
{
double val;
double t = (float)(i-f0);
int li = i - p->FrameBegin;
if(li<0) continue;
if(li>= p->TransNum) break;
if(KeyFrames[i1]>KeyFrames[i0]) t /=(float)(KeyFrames[i1]-KeyFrames[i0]);
val = t*(v1-v0)+v0;
icvUpdateTrans(
p->pTrans+li, param, val,
p->pImg?(float)(p->pImg->width-1):1.0f,
p->pImg?(float)(p->pImg->height-1):1.0f);
} /* Next transform. */
i0 = i1;
v0 = v1;
} /* Next value run. */
} /* Several transforms. */
} /* Next parameter. */
} /* Next record. */
} /* More complex transform. */
} /* Read transfroms. */
return pElem;
} /* icvTestSeqReadElemOne */
static CvTestSeqElem* icvTestSeqReadElemAll(CvTestSeq_* pTS, CvFileStorage* fs, const char* name)
{
CvTestSeqElem* pElem = NULL;
CvFileNode* node;
if(name == NULL) return NULL;
node = cvGetFileNodeByName( fs, NULL, name );
if(node == NULL)
{
printf("WARNING!!! - Video %s does not exist!\n", name);
return NULL;
}
printf("Read node %s\n",name);
if(CV_NODE_IS_SEQ(node->tag))
{ /* Read all element in sequence: */
int i;
CvSeq* seq = node->data.seq;
CvTestSeqElem* pElemLast = NULL;
for(i=0; i<seq->total; ++i)
{
CvFileNode* next_node = (CvFileNode*)cvGetSeqElem( seq, i );
CvTestSeqElem* pElemNew = icvTestSeqReadElemOne(pTS, fs, next_node );
CvFileNode* pDurNode = cvGetFileNodeByName( fs, next_node,"Dur");
if(pElemNew == NULL )
{
printf("WARNING in parsing %s record!!! Cannot read array element\n", name);
continue;
}
if(pElem && pElemLast)
{
pElemLast->next = pElemNew;
if(pDurNode)
{
pElemNew->FrameBegin = pElemLast->FrameBegin + pElemLast->FrameNum;
}
}
else
{
pElem = pElemNew;
}
/* Find last element: */
for(pElemLast=pElemNew;pElemLast && pElemLast->next;pElemLast= pElemLast->next) {}
} /* Next element. */
} /* Read all element in sequence. */
else
{ /* Read one element: */
pElem = icvTestSeqReadElemOne(pTS, fs, node );
}
return pElem;
} /* icvTestSeqReadElemAll */
static void icvTestSeqReleaseAll(CvTestSeqElem** ppElemList)
{
CvTestSeqElem* p = ppElemList[0];
while(p)
{
CvTestSeqElem* pd = p;
if(p->pAVI)
{
//cvReleaseCapture(&p->pAVI);
}
if(p->pImg)cvReleaseImage(&p->pImg);
if(p->pImgMask)cvReleaseImage(&p->pImgMask);
if(p->pPos)cvFree(&p->pPos);
if(p->pTrans)cvFree(&p->pTrans);
if(p->pSize)cvFree(&p->pSize);
p=p->next;
cvFree(&pd);
} /* Next element. */
ppElemList[0] = NULL;
} /* icvTestSeqReleaseAll */
CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale, int noise_type, double noise_ampl)
{
int size = sizeof(CvTestSeq_);
CvTestSeq_* pTS = (CvTestSeq_*)cvAlloc(size);
CvFileStorage* fs = cvOpenFileStorage( pConfigfile, NULL, CV_STORAGE_READ);
int i;
if(pTS == NULL || fs == NULL) return NULL;
memset(pTS,0,size);
pTS->pFileStorage = fs;
pTS->noise_ampl = noise_ampl;
pTS->noise_type = noise_type;
pTS->IVar_DI = 0;
pTS->ObjNum = 0;
/* Read all videos: */
for (i=0; i<numvideo; ++i)
{
CvTestSeqElem* pElemNew = icvTestSeqReadElemAll(pTS, fs, videos[i]);
if(pTS->pElemList==NULL)pTS->pElemList = pElemNew;
else
{
CvTestSeqElem* p = NULL;
for(p=pTS->pElemList;p->next;p=p->next) {}
p->next = pElemNew;
}
} /* Read all videos. */
{ /* Calculate elements and image size and video length: */
CvTestSeqElem* p = pTS->pElemList;
int num = 0;
CvSize MaxSize = {0,0};
int MaxFN = 0;
for(p = pTS->pElemList; p; p=p->next, num++)
{
int FN = p->FrameBegin+p->FrameNum;
CvSize S = {0,0};
if(p->pImg && p->BG)
{
S.width = p->pImg->width;
S.height = p->pImg->height;
}
if(MaxSize.width < S.width) MaxSize.width = S.width;
if(MaxSize.height < S.height) MaxSize.height = S.height;
if(MaxFN < FN)MaxFN = FN;
}
pTS->ListNum = num;
if(MaxSize.width == 0)MaxSize.width = 320;
if(MaxSize.height == 0)MaxSize.height = 240;
MaxSize.width = cvRound(Scale*MaxSize.width);
MaxSize.height = cvRound(Scale*MaxSize.height);
pTS->pImg = cvCreateImage(MaxSize,IPL_DEPTH_8U,3);
pTS->pImgMask = cvCreateImage(MaxSize,IPL_DEPTH_8U,1);
pTS->FrameNum = MaxFN;
for(p = pTS->pElemList; p; p=p->next)
{
if(p->FrameNum<=0)p->FrameNum=MaxFN;
}
} /* Calculate elements and image size. */
return (CvTestSeq*)pTS;
} /* cvCreateTestSeq */
void cvReleaseTestSeq(CvTestSeq** ppTestSeq)
{
CvTestSeq_* pTS = (CvTestSeq_*)ppTestSeq[0];
icvTestSeqReleaseAll(&pTS->pElemList);
if(pTS->pImg) cvReleaseImage(&pTS->pImg);
if(pTS->pImgMask) cvReleaseImage(&pTS->pImgMask);
if(pTS->pFileStorage)cvReleaseFileStorage(&pTS->pFileStorage);
cvFree(ppTestSeq);
} /* cvReleaseTestSeq */
void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
pTS->CurFrame = n;
}
IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
CvTestSeqElem* p = pTS->pElemList;
IplImage* pImg = pTS->pImg;
IplImage* pImgAdd = cvCloneImage(pTS->pImg);
IplImage* pImgAddG = cvCreateImage(cvSize(pImgAdd->width,pImgAdd->height),IPL_DEPTH_8U,1);
IplImage* pImgMask = pTS->pImgMask;
IplImage* pImgMaskAdd = cvCloneImage(pTS->pImgMask);
CvMat* pT = cvCreateMat(2,3,CV_32F);
if(pTS->CurFrame >= pTS->FrameNum) return NULL;
cvZero(pImg);
cvZero(pImgMask);
for(p=pTS->pElemList; p; p=p->next)
{
int DirectCopy = FALSE;
int frame = pTS->CurFrame - p->FrameBegin;
//float t = p->FrameNum>1?((float)frame/(p->FrameNum-1)):0;
CvTSTrans* pTrans = p->pTrans + frame%p->TransNum;
assert(pTrans);
if( p->FrameNum > 0 && (frame < 0 || frame >= p->FrameNum) )
{ /* Current frame is out of range: */
//if(p->pAVI)cvReleaseCapture(&p->pAVI);
p->pAVI = NULL;
continue;
}
cvZero(pImgAdd);
cvZero(pImgAddG);
cvZero(pImgMaskAdd);
if(p->noise_type == CV_NOISE_NONE)
{ /* For not noise: */
/* Get next frame: */
icvTestSeqQureyFrameElem(p, frame);
if(p->pImg == NULL) continue;
#if 1 /* transform using T filed in Trans */
{ /* Calculate transform matrix: */
float W = (float)(pImgAdd->width-1);
float H = (float)(pImgAdd->height-1);
float W0 = (float)(p->pImg->width-1);
float H0 = (float)(p->pImg->height-1);
cvZero(pT);
{ /* Calcualte inverse matrix: */
CvMat mat = cvMat(2,3,CV_32F, pTrans->T);
mat.width--;
pT->width--;
cvInvert(&mat, pT);
pT->width++;
}
CV_MAT_ELEM(pT[0], float, 0, 2) =
CV_MAT_ELEM(pT[0], float, 0, 0)*(W0/2-pTrans->T[2])+
CV_MAT_ELEM(pT[0], float, 0, 1)*(H0/2-pTrans->T[5]);
CV_MAT_ELEM(pT[0], float, 1, 2) =
CV_MAT_ELEM(pT[0], float, 1, 0)*(W0/2-pTrans->T[2])+
CV_MAT_ELEM(pT[0], float, 1, 1)*(H0/2-pTrans->T[5]);
CV_MAT_ELEM(pT[0], float, 0, 0) *= W0/W;
CV_MAT_ELEM(pT[0], float, 0, 1) *= H0/H;
CV_MAT_ELEM(pT[0], float, 1, 0) *= W0/W;
CV_MAT_ELEM(pT[0], float, 1, 1) *= H0/H;
} /* Calculate transform matrix. */
#else
{ /* Calculate transform matrix: */
float SX = (float)(p->pImg->width-1)/((pImgAdd->width-1)*pTrans->Scale.x);
float SY = (float)(p->pImg->height-1)/((pImgAdd->height-1)*pTrans->Scale.y);
float DX = pTrans->Shift.x;
float DY = pTrans->Shift.y;;
cvZero(pT);
((float*)(pT->data.ptr+pT->step*0))[0]=SX;
((float*)(pT->data.ptr+pT->step*1))[1]=SY;
((float*)(pT->data.ptr+pT->step*0))[2]=SX*(pImgAdd->width-1)*(0.5f-DX);
((float*)(pT->data.ptr+pT->step*1))[2]=SY*(pImgAdd->height-1)*(0.5f-DY);
} /* Calculate transform matrix. */
#endif
{ /* Check for direct copy: */
DirectCopy = TRUE;
if( fabs(CV_MAT_ELEM(pT[0],float,0,0)-1) > 0.00001) DirectCopy = FALSE;
if( fabs(CV_MAT_ELEM(pT[0],float,1,0)) > 0.00001) DirectCopy = FALSE;
if( fabs(CV_MAT_ELEM(pT[0],float,0,1)) > 0.00001) DirectCopy = FALSE;
if( fabs(CV_MAT_ELEM(pT[0],float,0,1)) > 0.00001) DirectCopy = FALSE;
if( fabs(CV_MAT_ELEM(pT[0],float,0,2)-(pImg->width-1)*0.5) > 0.5) DirectCopy = FALSE;
if( fabs(CV_MAT_ELEM(pT[0],float,1,2)-(pImg->height-1)*0.5) > 0.5) DirectCopy = FALSE;
}
/* Extract image and mask: */
if(p->pImg->nChannels == 1)
{
if(DirectCopy)
{
cvCvtColor( p->pImg,pImgAdd,CV_GRAY2BGR);
}
else
{
cvGetQuadrangleSubPix( p->pImg, pImgAddG, pT);
cvCvtColor( pImgAddG,pImgAdd,CV_GRAY2BGR);
}
}
if(p->pImg->nChannels == 3)
{
if(DirectCopy)
cvCopy(p->pImg, pImgAdd);
else
cvGetQuadrangleSubPix( p->pImg, pImgAdd, pT);
}
if(p->pImgMask)
{
if(DirectCopy)
cvCopy(p->pImgMask, pImgMaskAdd);
else
cvGetQuadrangleSubPix( p->pImgMask, pImgMaskAdd, pT);
cvThreshold(pImgMaskAdd,pImgMaskAdd,128,255,CV_THRESH_BINARY);
}
if(pTrans->C != 1 || pTrans->I != 0)
{ /* Intensity transformation: */
cvScale(pImgAdd, pImgAdd, pTrans->C,pTrans->I);
} /* Intensity transformation: */
if(pTrans->GN > 0)
{ /* Add noise: */
IplImage* pImgN = cvCloneImage(pImgAdd);
cvRandSetRange( &p->rnd_state, pTrans->GN, 0, -1 );
cvRand(&p->rnd_state, pImgN);
cvAdd(pImgN,pImgAdd,pImgAdd);
cvReleaseImage(&pImgN);
} /* Add noise. */
if(p->Mask)
{ /* Update only mask: */
cvOr(pImgMaskAdd, pImgMask, pImgMask);
}
else
{ /* Add image and mask to exist main image and mask: */
if(p->BG)
{ /* If image is background: */
cvCopy( pImgAdd, pImg, NULL);
}
else
{ /* If image is foreground: */
cvCopy( pImgAdd, pImg, pImgMaskAdd);
if(p->ObjID>=0)
cvOr(pImgMaskAdd, pImgMask, pImgMask);
}
} /* Not mask. */
} /* For not noise. */
else
{ /* Process noise video: */
if( p->noise_type == CV_NOISE_GAUSSIAN ||
p->noise_type == CV_NOISE_UNIFORM)
{ /* Gaussan and uniform additive noise: */
cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp * pTrans->C, &p->rnd_state);
} /* Gaussan and uniform additive noise. */
if( p->noise_type == CV_NOISE_SPECKLE)
{ /* Speckle -- multiplicative noise: */
if(pTrans->I != 0)cvSubS(pImg,cvScalar(pTrans->I,pTrans->I,pTrans->I),pImg);
cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp, &p->rnd_state);
if(pTrans->I != 0)cvAddS(pImg,cvScalar(pTrans->I,pTrans->I,pTrans->I),pImg);
} /* Speckle -- multiplicative noise. */
if( p->noise_type == CV_NOISE_SALT_AND_PEPPER)
{ /* Salt and pepper: */
cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp, &p->rnd_state);
} /* Salt and pepper. */
} /* Process noise video.*/
} /* Next item. */
if(pImg)
{
if(pTS->noise_type != CV_NOISE_NONE)
{ /* Add noise: */
cvAddNoise(pImg,pTS->noise_type,pTS->noise_ampl);
}
if(pTS->IVar_DI != 0)
{ /* Change intensity: */
float I = MIN(pTS->IVar_CurI,pTS->IVar_MaxI);
I = MAX(I,pTS->IVar_MinI);
cvScale(pImg,pImg,1,I);
if(pTS->IVar_CurI >= pTS->IVar_MaxI)
pTS->IVar_CurDI = (float)-fabs(pTS->IVar_DI);
if(pTS->IVar_CurI <= pTS->IVar_MinI)
pTS->IVar_CurDI = (float)+fabs(pTS->IVar_DI);
pTS->IVar_CurI += pTS->IVar_CurDI;
}
}
pTS->CurFrame++;
cvReleaseImage(&pImgAdd);
cvReleaseImage(&pImgAddG);
cvReleaseImage(&pImgMaskAdd);
cvReleaseMat(&pT);
return pImg;
} /*cvTestSeqQueryFrame*/
IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq)
{
return ((CvTestSeq_*)pTestSeq)->pImgMask;
}
IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq)
{
return ((CvTestSeq_*)pTestSeq)->pImg;
}
int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq)
{
//return ((CvTestSeq_*)pTestSeq)->ListNum;
return ((CvTestSeq_*)pTestSeq)->ObjNum;
}
int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
CvTestSeqElem* p = pTS->pElemList;
if(pTS->CurFrame > pTS->FrameNum) return 0;
for(p=pTS->pElemList; p; p=p->next)
{
int frame = pTS->CurFrame - p->FrameBegin - 1;
if(ObjIndex==p->ObjID && frame >= 0 && frame < p->FrameNum) break;
}
if(p && p->pPos && p->PosNum>0)
{
CvTSTrans* pTrans;
int frame = pTS->CurFrame - p->FrameBegin - 1;
if(frame < 0 || frame >= p->FrameNum) return 0;
//float t = (p->FrameNum>1)?((float)frame / (p->FrameNum-1)):0;
pTrans = p->pTrans + frame%p->TransNum;
pPos[0] = p->pPos[frame%p->PosNum];
#if 1 /* Transform using T filed in Trans: */
{
float x = pPos->x * (p->pImg?(p->pImg->width-1):1);
float y = pPos->y * (p->pImg?(p->pImg->height-1):1);
pPos->x = pTrans->T[0]*x+pTrans->T[1]*y+pTrans->T[2];
pPos->y = pTrans->T[3]*x+pTrans->T[4]*y+pTrans->T[5];
if(p->pImg)
{
pPos->x /= p->pImg->width-1;
pPos->y /= p->pImg->height-1;
}
}
#else
pPos->x = pPos->x * pTrans->Scale.x + pTrans->Shift.x;
pPos->y = pPos->y * pTrans->Scale.y + pTrans->Shift.y;
#endif
pPos->x *= pTS->pImg->width-1;
pPos->y *= pTS->pImg->height-1;
return 1;
}
return 0;
} /* cvTestSeqGetObjectPos */
int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
CvTestSeqElem* p = pTS->pElemList;
if(pTS->CurFrame > pTS->FrameNum) return 0;
for(p=pTS->pElemList; p; p=p->next)
{
int frame = pTS->CurFrame - p->FrameBegin - 1;
if(ObjIndex==p->ObjID && frame >= 0 && frame < p->FrameNum) break;
}
if(p && p->pSize && p->SizeNum>0)
{
CvTSTrans* pTrans;
int frame = pTS->CurFrame - p->FrameBegin - 1;
if(frame < 0 || frame >= p->FrameNum) return 0;
//float t = (p->FrameNum>1)?((float)frame / (p->FrameNum-1)):0;
pTrans = p->pTrans + frame%p->TransNum;
pSize[0] = p->pSize[frame%p->SizeNum];
#if 1 /* Transform using T filed in Trans: */
{
float x = pSize->x * (p->pImg?(p->pImg->width-1):1);
float y = pSize->y * (p->pImg?(p->pImg->height-1):1);
float dx1, dx2;
float dy1, dy2;
dx1 = (float)fabs(pTrans->T[0]*x+pTrans->T[1]*y);
dy1 = (float)fabs(pTrans->T[3]*x+pTrans->T[4]*y);
dx2 = (float)fabs(pTrans->T[0]*x - pTrans->T[1]*y);
dy2 = (float)fabs(pTrans->T[3]*x - pTrans->T[4]*y);
pSize->x = MAX(dx1,dx2);
pSize->y = MAX(dy1,dy2);
if(p->pImg)
{
pSize->x /= p->pImg->width-1;
pSize->y /= p->pImg->height-1;
}
}
#else
pSize->x = pSize->x * pTrans->Scale.x;
pSize->y = pSize->y * pTrans->Scale.y;
#endif
pSize->x *= pTS->pImg->width-1;
pSize->y *= pTS->pImg->height-1;
return 1;
}
return 0;
} /* cvTestSeqGetObjectSize */
/* Add noise to finile image: */
void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type, double noise_ampl)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
pTS->noise_type = noise_type;
pTS->noise_ampl = noise_ampl;
}
/* Add Intensity variation: */
void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI)
{
CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
pTS->IVar_CurDI = pTS->IVar_DI = DI_per_frame;
pTS->IVar_MaxI = MaxI;
pTS->IVar_MinI = MinI;
}
void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_state)
{ /* Add noise to image: */
CvSize S = cvSize(pImg->width,pImg->height);
IplImage* pImgAdd = cvCreateImage(S,pImg->depth,pImg->nChannels);
static CvRandState local_rnd_state;
static int first = 1;
if(first)
{
first = 0;
cvRandInit( &local_rnd_state, 1, 0, 0,CV_RAND_NORMAL);
}
if(rnd_state == NULL)rnd_state = &local_rnd_state;
if( noise_type == CV_NOISE_GAUSSIAN ||
noise_type == CV_NOISE_UNIFORM)
{ /* Gaussan and uniform additive noise: */
int set_zero = 0;
if( noise_type == CV_NOISE_GAUSSIAN)
{
rnd_state->disttype = CV_RAND_NORMAL;
cvRandSetRange( rnd_state, Ampl, 0, -1 );
if(Ampl <= 0) set_zero = 1;
}
if( noise_type == CV_NOISE_UNIFORM)
{
double max_val =
1.7320508075688772935274463415059 * Ampl;
rnd_state->disttype = CV_RAND_UNI;
cvRandSetRange( rnd_state, -max_val, max_val, -1 );
if(max_val < 1) set_zero = 1;
}
if(!set_zero)
{
IplImage* pImgNoise = cvCreateImage(S,IPL_DEPTH_32F,pImg->nChannels);
IplImage* pImgOrg = cvCreateImage(S,IPL_DEPTH_32F,pImg->nChannels);
cvConvert(pImg, pImgOrg);
cvRand(rnd_state, pImgNoise);
cvAdd(pImgOrg,pImgNoise,pImgOrg);
cvConvert(pImgOrg,pImg);
cvReleaseImage(&pImgNoise);
cvReleaseImage(&pImgOrg);
}
} /* Gaussan and uniform additive noise. */
if( noise_type == CV_NOISE_SPECKLE)
{ /* Speckle -- multiplicative noise: */
IplImage* pImgSP = cvCreateImage( S,IPL_DEPTH_32F, pImg->nChannels );
IplImage* pImgTemp = cvCreateImage(S,IPL_DEPTH_32F, pImg->nChannels );
rnd_state->disttype = CV_RAND_NORMAL;
cvRandSetRange( rnd_state, Ampl, 0, -1 );
cvRand(rnd_state, pImgSP);
cvConvert(pImg,pImgTemp);
cvMul(pImgSP,pImgTemp,pImgSP);
cvAdd(pImgTemp,pImgSP,pImgTemp);
cvConvert(pImgTemp,pImg);
cvReleaseImage(&pImgSP);
cvReleaseImage(&pImgTemp);
} /* Speckle -- multiplicative noise. */
if( noise_type == CV_NOISE_SALT_AND_PEPPER && Ampl > 0)
{ /* Salt and pepper: */
IplImage* pImgMask = cvCreateImage( S,IPL_DEPTH_32F, 1 );
IplImage* pImgMaskBin = cvCreateImage( S,IPL_DEPTH_8U, 1 );
IplImage* pImgVal = cvCreateImage( S,IPL_DEPTH_8U, 1 );
rnd_state->disttype = CV_RAND_UNI;
/* Create mask: */
cvRandSetRange( rnd_state, 0, 1, -1 );
cvRand(rnd_state, pImgMask);
cvThreshold(pImgMask,pImgMask, Ampl, 255, CV_THRESH_BINARY_INV );
cvConvert(pImgMask,pImgMaskBin);
/* Create vals: */
cvRandSetRange( rnd_state, 0, 255, -1 );
cvRand(rnd_state, pImgVal);
cvThreshold(pImgVal,pImgVal,128, 255, CV_THRESH_BINARY );
cvMerge(
pImgAdd->nChannels>0?pImgVal:NULL,
pImgAdd->nChannels>1?pImgVal:NULL,
pImgAdd->nChannels>2?pImgVal:NULL,
pImgAdd->nChannels>3?pImgVal:NULL,
pImgAdd);
cvCopy(pImgAdd, pImg, pImgMaskBin);
cvReleaseImage(&pImgMask);
cvReleaseImage(&pImgMaskBin);
cvReleaseImage(&pImgVal);
} /* Salt and pepper. */
cvReleaseImage(&pImgAdd);
} /* cvAddNoise */
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