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42 This file contain implementation of virtual interface of CvTestSeq
45 #include "precomp.hpp" /* virtual interface if CvTestSeq */
48 void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_state = NULL);
50 #define FG_BG_THRESHOLD 3
52 #define SRC_TYPE_AVI 1
53 #define SRC_TYPE_IMAGE 0
55 /* Transformation structure: */
56 typedef struct CvTSTrans
58 float T[6]; /* geometry transformation */
63 float GN; /* standart deviation of added gaussian noise */
64 float NoiseAmp; /* amplifier of noise power */
68 static void SET_TRANS_0(CvTSTrans *pT)
70 memset(pT,0,sizeof(CvTSTrans));
74 pT->T[4] = pT->T[0] = 1;
78 /* === Some definitions and functions for transformation update: ===*/
89 static const char* param_name[] = {"angle","s","sx","sy","dx","dy","I","C","GN","NoiseAmp", NULL};
90 static float param_defval[] = { 0, 1, 1, 1, 0, 0, 0, 1, 0, 1};
91 static void icvUpdateTrans(CvTSTrans* pTrans, int param, double val, float MaxX, float MaxY)
97 double C = cos(3.1415926535897932384626433832795*val/180.0);
98 double S = sin(3.1415926535897932384626433832795*val/180.0);
102 pTrans->angle = (float)(pTrans->angle + val);
103 TR[0] = C*T[0]-S*T[3];
104 TR[1] = C*T[1]-S*T[4];
105 TR[2] = C*T[2]-S*T[5];
106 TR[3] = S*T[0]+C*T[3];
107 TR[4] = S*T[1]+C*T[4];
108 TR[5] = S*T[2]+C*T[5];
109 for(i=0;i<6;++i)T[i]=(float)TR[i];
115 for(i=0;i<6;++i)pTrans->T[i] = (float)(pTrans->T[i]*val);
116 pTrans->Scale.x = (float)(pTrans->Scale.x *val);
117 pTrans->Scale.y = (float)(pTrans->Scale.y *val);
118 pTrans->Shift.x = (float)(pTrans->Shift.x *val);
119 pTrans->Shift.y = (float)(pTrans->Shift.y *val);
125 for(i=0;i<3;++i)pTrans->T[i] = (float)(pTrans->T[i]*val);
126 pTrans->Scale.x = (float)(pTrans->Scale.x*val);
127 pTrans->Shift.x = (float)(pTrans->Shift.x*val);
133 for(i=0;i<3;++i)pTrans->T[i+3] = (float)(pTrans->T[i+3]*val);
134 pTrans->Scale.y = (float)(pTrans->Scale.y *val);
135 pTrans->Shift.y = (float)(pTrans->Shift.y *val);
140 pTrans->Shift.x = (float)(pTrans->Shift.x +val);
141 pTrans->T[2] = (float)(pTrans->T[2] +val*MaxX);
146 pTrans->Shift.y = (float)(pTrans->Shift.y +val);
147 pTrans->T[5] = (float)(pTrans->T[5] +val*MaxY);
152 pTrans->C = (float)(pTrans->C *val);
153 pTrans->I = (float)(pTrans->I *val);
156 if(param==P_I) pTrans->I = (float)(pTrans->I +val);
160 pTrans->GN = (float)sqrt(val*val+pTrans->GN*pTrans->GN);
163 if(param==P_NAmp) pTrans->NoiseAmp = (float)(pTrans->NoiseAmp *val);
164 } /* icvUpdateTrans */
166 /* === END some defenitions and function for transformation update ===*/
168 typedef struct CvTestSeqElem
170 const char* pObjName;
171 const char* pFileName;
172 int type; /* video or image */
173 CvPoint2D32f* pPos; /* positions of object in sequence */
175 CvPoint2D32f* pSize; /* sizes of object in sequence */
177 CvTSTrans* pTrans; /* transforation of image in sequence */
180 CvPoint2D32f ShiftBegin;
181 CvPoint2D32f ShiftEnd;
189 int BG; /* flag is it background (1) or foreground (0) */
190 int Mask; /* flag is it foreground mask (1) or usual video (0) */
193 CvRandState rnd_state;
197 /* Test seq main structure: */
198 typedef struct CvTestSeq_
201 CvFileStorage* pFileStorage;
202 CvTestSeqElem* pElemList;
220 CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq){return cvSize(((CvTestSeq_*)(pTestSeq))->pImg->width,((CvTestSeq_*)(pTestSeq))->pImg->height);}
221 int cvTestSeqFrameNum(CvTestSeq* pTestSeq){return ((CvTestSeq_*)(pTestSeq))->FrameNum;}
223 static void icvTestSeqCreateMask(IplImage* pImg,IplImage* pImgMask, int threshold)
225 if(pImg->nChannels > 1)
227 cvCvtColor( pImg,pImgMask,CV_BGR2GRAY);
228 cvThreshold(pImgMask,pImgMask,threshold,255,CV_THRESH_BINARY);
232 cvThreshold(pImg,pImgMask,threshold,255,CV_THRESH_BINARY);
234 } /* icvTestSeqCreateMask */
237 static void icvTestSeqQureyFrameElem(CvTestSeqElem* p, int /*frame*/)
238 { /* Read next frame from avi for one record: */
239 if(p->type == SRC_TYPE_AVI)
242 //int frameNum = p->AVILen;
244 if(p->pAVI == NULL && p->pFileName)
245 { /* Open avi file if necessary: */
246 p->pAVI = 0;//cvCaptureFromFile(p->pFileName);
249 printf("WARNING!!! Can not open avi file %s\n",p->pFileName);
252 } /* Open avi file if necessary. */
255 //if(frame >= frameNum)
256 { /* Set new position: */
257 //int N = frame%frameNum;
260 N != (int)cvGetCaptureProperty(p->pAVI,CV_CAP_PROP_POS_FRAMES))
262 cvSetCaptureProperty(p->pAVI,CV_CAP_PROP_POS_FRAMES,N);
264 } /* Set new position. */
266 //pI = cvQueryFrame(p->pAVI);
269 if(pI->origin != p->pImg->origin)
270 cvFlip( pI, p->pImg, 0 );
277 if(p->pImgMask==NULL)
279 p->pImgMask = cvCreateImage(
280 cvSize(p->pImg->width,p->pImg->height),
283 icvTestSeqCreateMask(p->pImg,p->pImgMask,p->Mask?128:FG_BG_THRESHOLD);
287 } /* icvTestSeqQureyFrameElem */
289 /*------------- Recursive function to read all images, ------------------------*/
290 /*------------- videos and objects from config file. ------------------------*/
292 static CvTestSeqElem* icvTestSeqReadElemAll(CvTestSeq_* pTS, CvFileStorage* fs, const char* name);
294 static void icvTestSeqAllocTrans(CvTestSeqElem* p)
295 { /* Allocate transformation array if necessary */
296 /* work with transformation */
297 if(p->pTrans == NULL/* && p->FrameNum>0*/)
298 { /* Allocate transformation array: */
299 int num = MAX(1,p->FrameNum);
300 p->pTrans = (CvTSTrans*)cvAlloc(sizeof(CvTSTrans)*num);
302 while(num--)SET_TRANS_0(p->pTrans+num);
305 if(p->FrameNum > p->TransNum)
306 { /* Allocate new transformation array: */
308 int num = p->FrameNum;
309 CvTSTrans* pNewTrans = (CvTSTrans*)cvAlloc(sizeof(CvTSTrans)*num);
314 pNewTrans[i] = p->pTrans[i%p->TransNum];
316 SET_TRANS_0(pNewTrans+i);
318 if(p->pTrans)cvFree(&p->pTrans);
319 p->pTrans = pNewTrans;
321 } /* Allocate new transformation array. */
322 } /* Allocate transformation array if necessary. */
324 static CvTestSeqElem* icvTestSeqReadElemOne(CvTestSeq_* pTS, CvFileStorage* fs, CvFileNode* node)
326 int noise_type = CV_NOISE_NONE;;
327 CvTestSeqElem* pElem = NULL;
328 const char* pVideoName = cvReadStringByName( fs, node,"Video", NULL);
329 const char* pVideoObjName = cvReadStringByName( fs, node,"VideoObj", NULL);
332 { /* Check to noise flag: */
333 if( cv_stricmp(pVideoName,"noise_gaussian") == 0 ||
334 cv_stricmp(pVideoName,"noise_normal") == 0) noise_type = CV_NOISE_GAUSSIAN;
335 if( cv_stricmp(pVideoName,"noise_uniform") == 0) noise_type = CV_NOISE_UNIFORM;
336 if( cv_stricmp(pVideoName,"noise_speckle") == 0) noise_type = CV_NOISE_SPECKLE;
337 if( cv_stricmp(pVideoName,"noise_salt_and_pepper") == 0) noise_type = CV_NOISE_SALT_AND_PEPPER;
340 if((pVideoName || pVideoObjName ) && noise_type == CV_NOISE_NONE)
341 { /* Read other elements: */
342 if(pVideoName) pElem = icvTestSeqReadElemAll(pTS, fs, pVideoName);
346 pElem = icvTestSeqReadElemAll(pTS, fs, pVideoObjName);
347 for(pE=pElem;pE;pE=pE->next)
349 pE->ObjID = pTS->ObjNum;
350 pE->pObjName = pVideoObjName;
354 } /* Read other elements. */
356 { /* Create new element: */
357 CvFileNode* pPosNode = cvGetFileNodeByName( fs, node,"Pos");
358 CvFileNode* pSizeNode = cvGetFileNodeByName( fs, node,"Size");
359 int AutoSize = (pSizeNode && CV_NODE_IS_STRING(pSizeNode->tag) && cv_stricmp("auto",cvReadString(pSizeNode,""))==0);
360 int AutoPos = (pPosNode && CV_NODE_IS_STRING(pPosNode->tag) && cv_stricmp("auto",cvReadString(pPosNode,""))==0);
361 const char* pFileName = cvReadStringByName( fs, node,"File", NULL);
362 pElem = (CvTestSeqElem*)cvAlloc(sizeof(CvTestSeqElem));
363 memset(pElem,0,sizeof(CvTestSeqElem));
366 pElem->noise_type = noise_type;
367 cvRandInit( &pElem->rnd_state, 1, 0, 0,CV_RAND_NORMAL);
369 if(pFileName && pElem->noise_type == CV_NOISE_NONE)
370 { /* If AVI or BMP: */
371 size_t l = strlen(pFileName);
372 pElem->pFileName = pFileName;
374 pElem->type = SRC_TYPE_IMAGE;
375 if(cv_stricmp(".avi",pFileName+l-4) == 0)pElem->type = SRC_TYPE_AVI;
377 if(pElem->type == SRC_TYPE_IMAGE)
379 //pElem->pImg = cvLoadImage(pFileName);
383 if(pElem->pImgMask)cvReleaseImage(&(pElem->pImgMask));
385 pElem->pImgMask = cvCreateImage(
386 cvSize(pElem->pImg->width,pElem->pImg->height),
388 icvTestSeqCreateMask(pElem->pImg,pElem->pImgMask,FG_BG_THRESHOLD);
392 if(pElem->type == SRC_TYPE_AVI && pFileName)
394 //pElem->pAVI = cvCaptureFromFile(pFileName);
398 IplImage* pImg = 0;//cvQueryFrame(pElem->pAVI);
399 pElem->pImg = cvCloneImage(pImg);
400 pElem->pImg->origin = 0;
401 //cvSetCaptureProperty(pElem->pAVI,CV_CAP_PROP_POS_FRAMES,0);
402 pElem->FrameBegin = 0;
403 pElem->AVILen = pElem->FrameNum = 0;//(int)cvGetCaptureProperty(pElem->pAVI, CV_CAP_PROP_FRAME_COUNT);
404 //cvReleaseCapture(&pElem->pAVI);
409 printf("WARNING!!! Cannot open avi file %s\n",pFileName);
413 } /* If AVI or BMP. */
416 { /* Read positions: */
417 if(CV_NODE_IS_SEQ(pPosNode->tag))
419 int num = pPosNode->data.seq->total;
420 pElem->pPos = (CvPoint2D32f*)cvAlloc(sizeof(float)*num);
421 cvReadRawData( fs, pPosNode, pElem->pPos, "f" );
422 pElem->PosNum = num/2;
423 if(pElem->FrameNum == 0) pElem->FrameNum = pElem->PosNum;
429 if(CV_NODE_IS_SEQ(pSizeNode->tag))
431 int num = pSizeNode->data.seq->total;
432 pElem->pSize = (CvPoint2D32f*)cvAlloc(sizeof(float)*num);
433 cvReadRawData( fs, pSizeNode, pElem->pSize, "f" );
434 pElem->SizeNum = num/2;
438 if(AutoPos || AutoSize)
439 { /* Auto size and pos: */
441 int num = (pElem->type == SRC_TYPE_AVI)?pElem->AVILen:1;
444 pElem->pSize = (CvPoint2D32f*)cvAlloc(sizeof(CvPoint2D32f)*num);
445 pElem->SizeNum = num;
449 pElem->pPos = (CvPoint2D32f*)cvAlloc(sizeof(CvPoint2D32f)*num);
455 IplImage* pFG = NULL;
456 CvPoint2D32f* pPos = AutoPos?(pElem->pPos + i):NULL;
457 CvPoint2D32f* pSize = AutoSize?(pElem->pSize + i):NULL;
459 icvTestSeqQureyFrameElem(pElem,i);
460 pFG = pElem->pImgMask;
477 cvMoments( pElem->pImgMask, &m, 0 );
478 M00 = cvGetSpatialMoment( &m, 0, 0 );
480 if(M00 > 0 && pSize )
482 double X = cvGetSpatialMoment( &m, 1, 0 )/M00;
483 double Y = cvGetSpatialMoment( &m, 0, 1 )/M00;
484 double XX = (cvGetSpatialMoment( &m, 2, 0 )/M00) - X*X;
485 double YY = (cvGetSpatialMoment( &m, 0, 2 )/M00) - Y*Y;
486 pSize->x = (float)(4*sqrt(XX))/(pElem->pImgMask->width-1);
487 pSize->y = (float)(4*sqrt(YY))/(pElem->pImgMask->height-1);
492 pPos->x = (float)(cvGetSpatialMoment( &m, 1, 0 )/(M00*(pElem->pImgMask->width-1)));
493 pPos->y = (float)(cvGetSpatialMoment( &m, 0, 1 )/(M00*(pElem->pImgMask->height-1)));
497 { /* Another way to calculate y pos
498 * using object median:
500 int y0=0, y1=pFG->height-1;
501 for(y0=0; y0<pFG->height; ++y0)
504 CvScalar s = cvSum(cvGetRow(pFG, &tmp, y0));
505 if(s.val[0] > 255*7) break;
508 for(y1=pFG->height-1; y1>0; --y1)
511 CvScalar s = cvSum(cvGetRow(pFG, &tmp, y1));
512 if(s.val[0] > 255*7) break;
515 pPos->y = (y0+y1)*0.5f/(pFG->height-1);
520 //if(pElem->pAVI) cvReleaseCapture(&pElem->pAVI);
524 } /* End auto position creation. */
525 } /* Create new element. */
528 { /* Read transforms and: */
529 int FirstFrame, LastFrame;
530 CvTestSeqElem* p=pElem;
531 CvFileNode* pTransNode = NULL;
532 CvFileNode* pS = NULL;
535 CvSeq* pTransSeq = NULL;
538 pTransNode = cvGetFileNodeByName( fs, node,"Trans");
541 CV_NODE_IS_STRING(pTransNode->tag) &&
542 cv_stricmp("auto",cvReadString(pTransNode,""))!=0)
543 { /* Trans is reference: */
544 pTransNode = cvGetFileNodeByName( fs, NULL,cvReadString(pTransNode,""));
547 pS = cvGetFileNodeByName( fs, node,"Shift");
549 pTransSeq = pTransNode?(CV_NODE_IS_SEQ(pTransNode->tag)?pTransNode->data.seq:NULL):NULL;
550 KeyFrameNum = pTransSeq?pTransSeq->total:1;
552 if( (pS && CV_NODE_IS_STRING(pS->tag) && cv_stricmp("auto",cvReadString(pS,""))==0)
553 ||(pTransNode && CV_NODE_IS_STRING(pTransNode->tag) && cv_stricmp("auto",cvReadString(pTransNode,""))==0))
558 FirstFrame = pElem->FrameBegin;
559 LastFrame = pElem->FrameBegin+pElem->FrameNum-1;
561 /* Calculate length of video and reallocate
562 * transformation array:
564 for(p=pElem; p; p=p->next)
567 v = cvReadIntByName( fs, node, "BG", -1 );
569 v = cvReadIntByName( fs, node, "Mask", -1 );
570 if(v!=-1)p->Mask = v;
572 p->FrameBegin += cvReadIntByName( fs, node, "FrameBegin", 0 );
573 p->FrameNum = cvReadIntByName( fs, node, "FrameNum", p->FrameNum );
574 p->FrameNum = cvReadIntByName( fs, node, "Dur", p->FrameNum );
576 int lastFrame = cvReadIntByName( fs, node, "LastFrame", p->FrameBegin+p->FrameNum-1 );
577 p->FrameNum = MIN(p->FrameNum,lastFrame - p->FrameBegin+1);
580 icvTestSeqAllocTrans(p);
582 { /* New range estimation: */
583 int LF = p->FrameBegin+p->FrameNum-1;
584 if(p==pElem || FirstFrame > p->FrameBegin)FirstFrame = p->FrameBegin;
585 if(p==pElem || LastFrame < LF)LastFrame = LF;
586 } /* New range estimation. */
587 } /* End allocate new transfrom array. */
591 for(p=pElem;p;p=p->next)
592 { /* Modify transformation to make autoshift: */
594 int num = p->FrameNum;
595 assert(num <= p->TransNum);
596 p->TransNum = MAX(1,num);
600 CvTSTrans* pT = p->pTrans+i;
601 //float t = (num>1)?((float)i/(num-1)):0.0f;
602 float newx = p->pPos[i%p->PosNum].x;
603 float newy = p->pPos[i%p->PosNum].y;
604 pT->Shift.x = -newx*pT->Scale.x;
605 pT->Shift.y = -newy*pT->Scale.y;
609 newx *= p->pImg->width-1;
610 newy *= p->pImg->height-1;
613 pT->T[2] = -(pT->T[0]*newx+pT->T[1]*newy);
614 pT->T[5] = -(pT->T[3]*newx+pT->T[4]*newy);
616 } /* Modify transformation old. */
619 /* Initialize frame number array: */
620 KeyFrames[0] = FirstFrame;
622 if(pTransSeq&&KeyFrameNum>1)
625 for(int i=0; i<KeyFrameNum; ++i)
627 CvFileNode* pTN = (CvFileNode*)cvGetSeqElem(pTransSeq,i);
628 KeyFrames[i] = cvReadIntByName(fs,pTN,"frame",-1);
631 if(KeyFrames[0]<0)KeyFrames[0]=FirstFrame;
632 if(KeyFrames[KeyFrameNum-1]<0)KeyFrames[KeyFrameNum-1]=LastFrame;
634 for(i0=0, i1=1; i1<KeyFrameNum;)
636 for(i1=i0+1; i1<KeyFrameNum && KeyFrames[i1]<0; i1++) {}
638 assert(i1<KeyFrameNum);
641 for(int i=i0+1; i<i1; ++i)
643 KeyFrames[i] = cvRound(KeyFrames[i0] + (float)(i-i0)*(float)(KeyFrames[i1] - KeyFrames[i0])/(float)(i1-i0));
647 } /* Next key run. */
648 } /* Initialize frame number array. */
650 if(pTransNode || pTransSeq)
651 { /* More complex transform. */
653 CvFileNode* pTN = pTransSeq?(CvFileNode*)cvGetSeqElem(pTransSeq,0):pTransNode;
655 for(p=pElem; p; p=p->next)
657 //int trans_num = p->TransNum;
658 for(param=0; param_name[param]; ++param)
660 const char* name = param_name[param];
661 float defv = param_defval[param];
663 { /* Only one transform record: */
666 CvFileNode* fnode = cvGetFileNodeByName( fs, pTN,name);
667 if(fnode == NULL) continue;
668 val = cvReadReal(fnode,defv);
670 for(i=0; i<p->TransNum; ++i)
673 p->pTrans+i, param, val,
674 p->pImg?(float)(p->pImg->width-1):1.0f,
675 p->pImg?(float)(p->pImg->height-1):1.0f);
679 { /* Several transforms: */
684 CvFileNode* pTN1 = (CvFileNode*)cvGetSeqElem(pTransSeq,0);
685 v0 = cvReadRealByName(fs, pTN1,name,defv);
687 for(i1=1,i0=0; i1<KeyFrameNum; ++i1)
691 CvFileNode* pTN2 = (CvFileNode*)cvGetSeqElem(pTransSeq,i1);
692 CvFileNode* pVN = cvGetFileNodeByName(fs,pTN2,name);
694 if(pVN)v1 = cvReadReal(pVN,defv);
695 else if(pVN == NULL && i1 == KeyFrameNum-1) v1 = defv;
701 if(i1==(KeyFrameNum-1)) f1++;
706 double t = (float)(i-f0);
707 int li = i - p->FrameBegin;
709 if(li>= p->TransNum) break;
710 if(KeyFrames[i1]>KeyFrames[i0]) t /=(float)(KeyFrames[i1]-KeyFrames[i0]);
714 p->pTrans+li, param, val,
715 p->pImg?(float)(p->pImg->width-1):1.0f,
716 p->pImg?(float)(p->pImg->height-1):1.0f);
718 } /* Next transform. */
722 } /* Next value run. */
723 } /* Several transforms. */
724 } /* Next parameter. */
726 } /* More complex transform. */
727 } /* Read transfroms. */
731 } /* icvTestSeqReadElemOne */
733 static CvTestSeqElem* icvTestSeqReadElemAll(CvTestSeq_* pTS, CvFileStorage* fs, const char* name)
735 CvTestSeqElem* pElem = NULL;
738 if(name == NULL) return NULL;
740 node = cvGetFileNodeByName( fs, NULL, name );
744 printf("WARNING!!! - Video %s does not exist!\n", name);
748 printf("Read node %s\n",name);
750 if(CV_NODE_IS_SEQ(node->tag))
751 { /* Read all element in sequence: */
753 CvSeq* seq = node->data.seq;
754 CvTestSeqElem* pElemLast = NULL;
756 for(i=0; i<seq->total; ++i)
758 CvFileNode* next_node = (CvFileNode*)cvGetSeqElem( seq, i );
759 CvTestSeqElem* pElemNew = icvTestSeqReadElemOne(pTS, fs, next_node );
760 CvFileNode* pDurNode = cvGetFileNodeByName( fs, next_node,"Dur");
762 if(pElemNew == NULL )
764 printf("WARNING in parsing %s record!!! Cannot read array element\n", name);
768 if(pElem && pElemLast)
770 pElemLast->next = pElemNew;
773 pElemNew->FrameBegin = pElemLast->FrameBegin + pElemLast->FrameNum;
781 /* Find last element: */
782 for(pElemLast=pElemNew;pElemLast && pElemLast->next;pElemLast= pElemLast->next) {}
784 } /* Next element. */
785 } /* Read all element in sequence. */
787 { /* Read one element: */
788 pElem = icvTestSeqReadElemOne(pTS, fs, node );
793 } /* icvTestSeqReadElemAll */
795 static void icvTestSeqReleaseAll(CvTestSeqElem** ppElemList)
797 CvTestSeqElem* p = ppElemList[0];
801 CvTestSeqElem* pd = p;
804 //cvReleaseCapture(&p->pAVI);
806 if(p->pImg)cvReleaseImage(&p->pImg);
807 if(p->pImgMask)cvReleaseImage(&p->pImgMask);
808 if(p->pPos)cvFree(&p->pPos);
809 if(p->pTrans)cvFree(&p->pTrans);
810 if(p->pSize)cvFree(&p->pSize);
814 } /* Next element. */
816 ppElemList[0] = NULL;
818 } /* icvTestSeqReleaseAll */
820 CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale, int noise_type, double noise_ampl)
822 int size = sizeof(CvTestSeq_);
823 CvTestSeq_* pTS = (CvTestSeq_*)cvAlloc(size);
824 CvFileStorage* fs = cvOpenFileStorage( pConfigfile, NULL, CV_STORAGE_READ);
827 if(pTS == NULL || fs == NULL) return NULL;
830 pTS->pFileStorage = fs;
831 pTS->noise_ampl = noise_ampl;
832 pTS->noise_type = noise_type;
836 /* Read all videos: */
837 for (i=0; i<numvideo; ++i)
839 CvTestSeqElem* pElemNew = icvTestSeqReadElemAll(pTS, fs, videos[i]);
841 if(pTS->pElemList==NULL)pTS->pElemList = pElemNew;
844 CvTestSeqElem* p = NULL;
845 for(p=pTS->pElemList;p->next;p=p->next) {}
848 } /* Read all videos. */
850 { /* Calculate elements and image size and video length: */
851 CvTestSeqElem* p = pTS->pElemList;
856 for(p = pTS->pElemList; p; p=p->next, num++)
858 int FN = p->FrameBegin+p->FrameNum;
863 S.width = p->pImg->width;
864 S.height = p->pImg->height;
867 if(MaxSize.width < S.width) MaxSize.width = S.width;
868 if(MaxSize.height < S.height) MaxSize.height = S.height;
869 if(MaxFN < FN)MaxFN = FN;
874 if(MaxSize.width == 0)MaxSize.width = 320;
875 if(MaxSize.height == 0)MaxSize.height = 240;
877 MaxSize.width = cvRound(Scale*MaxSize.width);
878 MaxSize.height = cvRound(Scale*MaxSize.height);
880 pTS->pImg = cvCreateImage(MaxSize,IPL_DEPTH_8U,3);
881 pTS->pImgMask = cvCreateImage(MaxSize,IPL_DEPTH_8U,1);
882 pTS->FrameNum = MaxFN;
884 for(p = pTS->pElemList; p; p=p->next)
886 if(p->FrameNum<=0)p->FrameNum=MaxFN;
888 } /* Calculate elements and image size. */
890 return (CvTestSeq*)pTS;
892 } /* cvCreateTestSeq */
894 void cvReleaseTestSeq(CvTestSeq** ppTestSeq)
896 CvTestSeq_* pTS = (CvTestSeq_*)ppTestSeq[0];
898 icvTestSeqReleaseAll(&pTS->pElemList);
899 if(pTS->pImg) cvReleaseImage(&pTS->pImg);
900 if(pTS->pImgMask) cvReleaseImage(&pTS->pImgMask);
901 if(pTS->pFileStorage)cvReleaseFileStorage(&pTS->pFileStorage);
905 } /* cvReleaseTestSeq */
907 void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n)
909 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
913 IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq)
915 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
916 CvTestSeqElem* p = pTS->pElemList;
917 IplImage* pImg = pTS->pImg;
918 IplImage* pImgAdd = cvCloneImage(pTS->pImg);
919 IplImage* pImgAddG = cvCreateImage(cvSize(pImgAdd->width,pImgAdd->height),IPL_DEPTH_8U,1);
920 IplImage* pImgMask = pTS->pImgMask;
921 IplImage* pImgMaskAdd = cvCloneImage(pTS->pImgMask);
922 CvMat* pT = cvCreateMat(2,3,CV_32F);
924 if(pTS->CurFrame >= pTS->FrameNum) return NULL;
928 for(p=pTS->pElemList; p; p=p->next)
931 int frame = pTS->CurFrame - p->FrameBegin;
932 //float t = p->FrameNum>1?((float)frame/(p->FrameNum-1)):0;
933 CvTSTrans* pTrans = p->pTrans + frame%p->TransNum;
937 if( p->FrameNum > 0 && (frame < 0 || frame >= p->FrameNum) )
938 { /* Current frame is out of range: */
939 //if(p->pAVI)cvReleaseCapture(&p->pAVI);
948 if(p->noise_type == CV_NOISE_NONE)
949 { /* For not noise: */
950 /* Get next frame: */
951 icvTestSeqQureyFrameElem(p, frame);
952 if(p->pImg == NULL) continue;
954 #if 1 /* transform using T filed in Trans */
955 { /* Calculate transform matrix: */
956 float W = (float)(pImgAdd->width-1);
957 float H = (float)(pImgAdd->height-1);
958 float W0 = (float)(p->pImg->width-1);
959 float H0 = (float)(p->pImg->height-1);
961 { /* Calcualte inverse matrix: */
962 CvMat mat = cvMat(2,3,CV_32F, pTrans->T);
969 CV_MAT_ELEM(pT[0], float, 0, 2) =
970 CV_MAT_ELEM(pT[0], float, 0, 0)*(W0/2-pTrans->T[2])+
971 CV_MAT_ELEM(pT[0], float, 0, 1)*(H0/2-pTrans->T[5]);
973 CV_MAT_ELEM(pT[0], float, 1, 2) =
974 CV_MAT_ELEM(pT[0], float, 1, 0)*(W0/2-pTrans->T[2])+
975 CV_MAT_ELEM(pT[0], float, 1, 1)*(H0/2-pTrans->T[5]);
977 CV_MAT_ELEM(pT[0], float, 0, 0) *= W0/W;
978 CV_MAT_ELEM(pT[0], float, 0, 1) *= H0/H;
979 CV_MAT_ELEM(pT[0], float, 1, 0) *= W0/W;
980 CV_MAT_ELEM(pT[0], float, 1, 1) *= H0/H;
982 } /* Calculate transform matrix. */
984 { /* Calculate transform matrix: */
985 float SX = (float)(p->pImg->width-1)/((pImgAdd->width-1)*pTrans->Scale.x);
986 float SY = (float)(p->pImg->height-1)/((pImgAdd->height-1)*pTrans->Scale.y);
987 float DX = pTrans->Shift.x;
988 float DY = pTrans->Shift.y;;
990 ((float*)(pT->data.ptr+pT->step*0))[0]=SX;
991 ((float*)(pT->data.ptr+pT->step*1))[1]=SY;
992 ((float*)(pT->data.ptr+pT->step*0))[2]=SX*(pImgAdd->width-1)*(0.5f-DX);
993 ((float*)(pT->data.ptr+pT->step*1))[2]=SY*(pImgAdd->height-1)*(0.5f-DY);
994 } /* Calculate transform matrix. */
998 { /* Check for direct copy: */
1000 if( fabs(CV_MAT_ELEM(pT[0],float,0,0)-1) > 0.00001) DirectCopy = 0;
1001 if( fabs(CV_MAT_ELEM(pT[0],float,1,0)) > 0.00001) DirectCopy = 0;
1002 if( fabs(CV_MAT_ELEM(pT[0],float,0,1)) > 0.00001) DirectCopy = 0;
1003 if( fabs(CV_MAT_ELEM(pT[0],float,0,1)) > 0.00001) DirectCopy = 0;
1004 if( fabs(CV_MAT_ELEM(pT[0],float,0,2)-(pImg->width-1)*0.5) > 0.5) DirectCopy = 0;
1005 if( fabs(CV_MAT_ELEM(pT[0],float,1,2)-(pImg->height-1)*0.5) > 0.5) DirectCopy = 0;
1008 /* Extract image and mask: */
1009 if(p->pImg->nChannels == 1)
1013 cvCvtColor( p->pImg,pImgAdd,CV_GRAY2BGR);
1017 cvGetQuadrangleSubPix( p->pImg, pImgAddG, pT);
1018 cvCvtColor( pImgAddG,pImgAdd,CV_GRAY2BGR);
1022 if(p->pImg->nChannels == 3)
1025 cvCopy(p->pImg, pImgAdd);
1027 cvGetQuadrangleSubPix( p->pImg, pImgAdd, pT);
1033 cvCopy(p->pImgMask, pImgMaskAdd);
1035 cvGetQuadrangleSubPix( p->pImgMask, pImgMaskAdd, pT);
1037 cvThreshold(pImgMaskAdd,pImgMaskAdd,128,255,CV_THRESH_BINARY);
1040 if(pTrans->C != 1 || pTrans->I != 0)
1041 { /* Intensity transformation: */
1042 cvScale(pImgAdd, pImgAdd, pTrans->C,pTrans->I);
1043 } /* Intensity transformation: */
1047 IplImage* pImgN = cvCloneImage(pImgAdd);
1048 cvRandSetRange( &p->rnd_state, pTrans->GN, 0, -1 );
1049 cvRand(&p->rnd_state, pImgN);
1050 cvAdd(pImgN,pImgAdd,pImgAdd);
1051 cvReleaseImage(&pImgN);
1055 { /* Update only mask: */
1056 cvOr(pImgMaskAdd, pImgMask, pImgMask);
1059 { /* Add image and mask to exist main image and mask: */
1061 { /* If image is background: */
1062 cvCopy( pImgAdd, pImg, NULL);
1065 { /* If image is foreground: */
1066 cvCopy( pImgAdd, pImg, pImgMaskAdd);
1068 cvOr(pImgMaskAdd, pImgMask, pImgMask);
1071 } /* For not noise. */
1073 { /* Process noise video: */
1075 if( p->noise_type == CV_NOISE_GAUSSIAN ||
1076 p->noise_type == CV_NOISE_UNIFORM)
1078 { /* Gaussan and uniform additive noise: */
1079 cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp * pTrans->C, &p->rnd_state);
1080 } /* Gaussan and uniform additive noise. */
1082 if( p->noise_type == CV_NOISE_SPECKLE)
1083 { /* Speckle -- multiplicative noise: */
1084 if(pTrans->I != 0)cvSubS(pImg,cvScalar(pTrans->I,pTrans->I,pTrans->I),pImg);
1085 cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp, &p->rnd_state);
1086 if(pTrans->I != 0)cvAddS(pImg,cvScalar(pTrans->I,pTrans->I,pTrans->I),pImg);
1087 } /* Speckle -- multiplicative noise. */
1089 if( p->noise_type == CV_NOISE_SALT_AND_PEPPER)
1090 { /* Salt and pepper: */
1091 cvAddNoise(pImg,p->noise_type,pTrans->NoiseAmp, &p->rnd_state);
1092 } /* Salt and pepper. */
1093 } /* Process noise video.*/
1098 if(pTS->noise_type != CV_NOISE_NONE)
1100 cvAddNoise(pImg,pTS->noise_type,pTS->noise_ampl);
1103 if(pTS->IVar_DI != 0)
1104 { /* Change intensity: */
1105 float I = MIN(pTS->IVar_CurI,pTS->IVar_MaxI);
1106 I = MAX(I,pTS->IVar_MinI);
1107 cvScale(pImg,pImg,1,I);
1109 if(pTS->IVar_CurI >= pTS->IVar_MaxI)
1110 pTS->IVar_CurDI = (float)-fabs(pTS->IVar_DI);
1112 if(pTS->IVar_CurI <= pTS->IVar_MinI)
1113 pTS->IVar_CurDI = (float)+fabs(pTS->IVar_DI);
1115 pTS->IVar_CurI += pTS->IVar_CurDI;
1121 cvReleaseImage(&pImgAdd);
1122 cvReleaseImage(&pImgAddG);
1123 cvReleaseImage(&pImgMaskAdd);
1127 } /*cvTestSeqQueryFrame*/
1129 IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq)
1131 return ((CvTestSeq_*)pTestSeq)->pImgMask;
1134 IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq)
1136 return ((CvTestSeq_*)pTestSeq)->pImg;
1139 int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq)
1141 //return ((CvTestSeq_*)pTestSeq)->ListNum;
1142 return ((CvTestSeq_*)pTestSeq)->ObjNum;
1145 int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos)
1147 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
1148 CvTestSeqElem* p = pTS->pElemList;
1149 if(pTS->CurFrame > pTS->FrameNum) return 0;
1151 for(p=pTS->pElemList; p; p=p->next)
1153 int frame = pTS->CurFrame - p->FrameBegin - 1;
1154 if(ObjIndex==p->ObjID && frame >= 0 && frame < p->FrameNum) break;
1157 if(p && p->pPos && p->PosNum>0)
1160 int frame = pTS->CurFrame - p->FrameBegin - 1;
1161 if(frame < 0 || frame >= p->FrameNum) return 0;
1162 //float t = (p->FrameNum>1)?((float)frame / (p->FrameNum-1)):0;
1163 pTrans = p->pTrans + frame%p->TransNum;
1164 pPos[0] = p->pPos[frame%p->PosNum];
1166 #if 1 /* Transform using T filed in Trans: */
1168 float x = pPos->x * (p->pImg?(p->pImg->width-1):1);
1169 float y = pPos->y * (p->pImg?(p->pImg->height-1):1);
1171 pPos->x = pTrans->T[0]*x+pTrans->T[1]*y+pTrans->T[2];
1172 pPos->y = pTrans->T[3]*x+pTrans->T[4]*y+pTrans->T[5];
1176 pPos->x /= p->pImg->width-1;
1177 pPos->y /= p->pImg->height-1;
1184 pPos->x = pPos->x * pTrans->Scale.x + pTrans->Shift.x;
1185 pPos->y = pPos->y * pTrans->Scale.y + pTrans->Shift.y;
1187 pPos->x *= pTS->pImg->width-1;
1188 pPos->y *= pTS->pImg->height-1;
1193 } /* cvTestSeqGetObjectPos */
1195 int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize)
1197 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
1198 CvTestSeqElem* p = pTS->pElemList;
1199 if(pTS->CurFrame > pTS->FrameNum) return 0;
1201 for(p=pTS->pElemList; p; p=p->next)
1203 int frame = pTS->CurFrame - p->FrameBegin - 1;
1204 if(ObjIndex==p->ObjID && frame >= 0 && frame < p->FrameNum) break;
1207 if(p && p->pSize && p->SizeNum>0)
1210 int frame = pTS->CurFrame - p->FrameBegin - 1;
1212 if(frame < 0 || frame >= p->FrameNum) return 0;
1214 //float t = (p->FrameNum>1)?((float)frame / (p->FrameNum-1)):0;
1215 pTrans = p->pTrans + frame%p->TransNum;
1216 pSize[0] = p->pSize[frame%p->SizeNum];
1218 #if 1 /* Transform using T filed in Trans: */
1220 float x = pSize->x * (p->pImg?(p->pImg->width-1):1);
1221 float y = pSize->y * (p->pImg?(p->pImg->height-1):1);
1225 dx1 = (float)fabs(pTrans->T[0]*x+pTrans->T[1]*y);
1226 dy1 = (float)fabs(pTrans->T[3]*x+pTrans->T[4]*y);
1228 dx2 = (float)fabs(pTrans->T[0]*x - pTrans->T[1]*y);
1229 dy2 = (float)fabs(pTrans->T[3]*x - pTrans->T[4]*y);
1231 pSize->x = MAX(dx1,dx2);
1232 pSize->y = MAX(dy1,dy2);
1236 pSize->x /= p->pImg->width-1;
1237 pSize->y /= p->pImg->height-1;
1244 pSize->x = pSize->x * pTrans->Scale.x;
1245 pSize->y = pSize->y * pTrans->Scale.y;
1247 pSize->x *= pTS->pImg->width-1;
1248 pSize->y *= pTS->pImg->height-1;
1254 } /* cvTestSeqGetObjectSize */
1256 /* Add noise to finile image: */
1257 void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type, double noise_ampl)
1259 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
1260 pTS->noise_type = noise_type;
1261 pTS->noise_ampl = noise_ampl;
1264 /* Add Intensity variation: */
1265 void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI)
1267 CvTestSeq_* pTS = (CvTestSeq_*)pTestSeq;
1268 pTS->IVar_CurDI = pTS->IVar_DI = DI_per_frame;
1269 pTS->IVar_MaxI = MaxI;
1270 pTS->IVar_MinI = MinI;
1273 void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_state)
1274 { /* Add noise to image: */
1275 CvSize S = cvSize(pImg->width,pImg->height);
1276 IplImage* pImgAdd = cvCreateImage(S,pImg->depth,pImg->nChannels);
1277 static CvRandState local_rnd_state;
1278 static int first = 1;
1283 cvRandInit( &local_rnd_state, 1, 0, 0,CV_RAND_NORMAL);
1286 if(rnd_state == NULL)rnd_state = &local_rnd_state;
1288 if( noise_type == CV_NOISE_GAUSSIAN ||
1289 noise_type == CV_NOISE_UNIFORM)
1290 { /* Gaussan and uniform additive noise: */
1293 if( noise_type == CV_NOISE_GAUSSIAN)
1295 rnd_state->disttype = CV_RAND_NORMAL;
1296 cvRandSetRange( rnd_state, Ampl, 0, -1 );
1297 if(Ampl <= 0) set_zero = 1;
1300 if( noise_type == CV_NOISE_UNIFORM)
1303 1.7320508075688772935274463415059 * Ampl;
1304 rnd_state->disttype = CV_RAND_UNI;
1305 cvRandSetRange( rnd_state, -max_val, max_val, -1 );
1306 if(max_val < 1) set_zero = 1;
1311 IplImage* pImgNoise = cvCreateImage(S,IPL_DEPTH_32F,pImg->nChannels);
1312 IplImage* pImgOrg = cvCreateImage(S,IPL_DEPTH_32F,pImg->nChannels);
1313 cvConvert(pImg, pImgOrg);
1314 cvRand(rnd_state, pImgNoise);
1315 cvAdd(pImgOrg,pImgNoise,pImgOrg);
1316 cvConvert(pImgOrg,pImg);
1317 cvReleaseImage(&pImgNoise);
1318 cvReleaseImage(&pImgOrg);
1320 } /* Gaussan and uniform additive noise. */
1322 if( noise_type == CV_NOISE_SPECKLE)
1323 { /* Speckle -- multiplicative noise: */
1324 IplImage* pImgSP = cvCreateImage( S,IPL_DEPTH_32F, pImg->nChannels );
1325 IplImage* pImgTemp = cvCreateImage(S,IPL_DEPTH_32F, pImg->nChannels );
1326 rnd_state->disttype = CV_RAND_NORMAL;
1327 cvRandSetRange( rnd_state, Ampl, 0, -1 );
1328 cvRand(rnd_state, pImgSP);
1329 cvConvert(pImg,pImgTemp);
1330 cvMul(pImgSP,pImgTemp,pImgSP);
1331 cvAdd(pImgTemp,pImgSP,pImgTemp);
1332 cvConvert(pImgTemp,pImg);
1333 cvReleaseImage(&pImgSP);
1334 cvReleaseImage(&pImgTemp);
1335 } /* Speckle -- multiplicative noise. */
1337 if( noise_type == CV_NOISE_SALT_AND_PEPPER && Ampl > 0)
1338 { /* Salt and pepper: */
1339 IplImage* pImgMask = cvCreateImage( S,IPL_DEPTH_32F, 1 );
1340 IplImage* pImgMaskBin = cvCreateImage( S,IPL_DEPTH_8U, 1 );
1341 IplImage* pImgVal = cvCreateImage( S,IPL_DEPTH_8U, 1 );
1342 rnd_state->disttype = CV_RAND_UNI;
1345 cvRandSetRange( rnd_state, 0, 1, -1 );
1346 cvRand(rnd_state, pImgMask);
1347 cvThreshold(pImgMask,pImgMask, Ampl, 255, CV_THRESH_BINARY_INV );
1348 cvConvert(pImgMask,pImgMaskBin);
1351 cvRandSetRange( rnd_state, 0, 255, -1 );
1352 cvRand(rnd_state, pImgVal);
1353 cvThreshold(pImgVal,pImgVal,128, 255, CV_THRESH_BINARY );
1355 pImgAdd->nChannels>0?pImgVal:NULL,
1356 pImgAdd->nChannels>1?pImgVal:NULL,
1357 pImgAdd->nChannels>2?pImgVal:NULL,
1358 pImgAdd->nChannels>3?pImgVal:NULL,
1360 cvCopy(pImgAdd, pImg, pImgMaskBin);
1361 cvReleaseImage(&pImgMask);
1362 cvReleaseImage(&pImgMaskBin);
1363 cvReleaseImage(&pImgVal);
1365 } /* Salt and pepper. */
1367 cvReleaseImage(&pImgAdd);