经过2天的努力终于算是大概弄清楚了opencv中的vs框架是大概是如何工作的了，下面贴一下我自己写的代码注释。非常详细。对初学者有帮助。尤其详细分析了RunBlobTrackingAuto（）函数，在看注释之前应该首先大概了解一下
Blob Tracking Tests和Blob Tracking Modules的说明文档。这样比较容易理解。说明文档的位置在 opencv的安装位置的opencvdocvidsurv
代码注释为本人原创，转载请注明原为地址：http://blog.csdn.net/jia_zhengshen/article/details/9499103
程序的大体流程是：首先main函数读取一大堆参数，然后与预定的命令比较，比较完后给相应的参数赋值。然后给param这位二神赋值，然后通过param这个参数把pTRacker初始化，然后程序进入RunBlobTrackingAuto函数这个主循环，循环完后退出程序。流程图如下：
//#include "cvaux.h"
//#include "highgui.h"
#include<opencv/cv.h>//由于使用了source insight来写注释，所以偶尔会有乱码。
#include<opencv/highgui.h>
#include<opencvcvaux.h>
#include <stdio.h>
/* select the correct function for doing case insensitive string comparaison */
#ifdef WIN32
#define MY_STRNICMP strnicmp
#define MY_STRICMP stricmp
#else
#define MY_STRNICMP strncasecmp
#define MY_STRICMP strcasecmp
#endif
/* list of FG DETECTION modules */
static CvFGDetector* cvCreateFGDetector0(){return cvCreateFGDetectorBase(CV_BG_MODEL_FGD, NULL);}
static CvFGDetector* cvCreateFGDetector0Simple(){return cvCreateFGDetectorBase(CV_BG_MODEL_FGD_SIMPLE, NULL);}
static CvFGDetector* cvCreateFGDetector1(){return cvCreateFGDetectorBase(CV_BG_MODEL_MOG, NULL);}
typedef struct DefModule_FGDetector
{
CvFGDetector* (*create)();//指向函数的指针。使用这种写法，可以使c语言具有面向对象的特性。
char* nickname;//这个FGDETECTOR的别名。Nickname相当于小名。
char* description;//这个邋fgDetector的简单描述。
} DefModule_FGDetector;
DefModule_FGDetector FGDetector_Modules[] =//这是个数组。
{
{cvCreateFGDetector0,"FG_0","Foreground Object Detection from Videos Containing Complex Background. ACM MM2003."},
{cvCreateFGDetector0Simple,"FG_0S","Simplyfied version of FG_0"},
{cvCreateFGDetector1,"FG_1","Adaptive background mixture models for real-time tracking. CVPR1999"},
{NULL,NULL,NULL}//全部为空，这里有的null有很大的作用，来指示这是这个数组的最后一个，增加其他的算法。在main函数使用这个数组时会使用到这一点。
};
/* list of BLOB DETECTION modules */
typedef struct DefModule_BlobDetector
{
CvBlobDetector* (*create)();//这个BlobDetector的作用是检验新的blob
char* nickname;
char* description;
} DefModule_BlobDetector;
DefModule_BlobDetector BlobDetector_Modules[] =//这里定义了3个blobDetector 来检验新的blob
{
{cvCreateBlobDetectorCC,"BD_CC","Detect new blob by tracking CC of FG mask"},
{cvCreateBlobDetectorSimple,"BD_Simple","Detect new blob by uniform moving of connected components of FG mask"},
{NULL,NULL,NULL}
};
/* list of BLOB TRACKING modules */
typedef struct DefModule_BlobTracker
{
CvBlobTracker* (*create)();//作用是找到blob的位置，大小，id
char* nickname;
char* description;
} DefModule_BlobTracker;
DefModule_BlobTracker BlobTracker_Modules[] =//定义了5个錌lobtracker
{
{cvCreateBlobTrackerCCMSPF,"CCMSPF","connected component tracking and MSPF resolver for collision"},
{cvCreateBlobTrackerCC,"CC","Simple connected component tracking"},
{cvCreateBlobTrackerMS,"MS","Mean shift algorithm "},
{cvCreateBlobTrackerMSFG,"MSFG","Mean shift algorithm with FG mask using"},
{cvCreateBlobTrackerMSPF,"MSPF","Particle filtering based on MS weight"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY GENERATION modules */
typedef struct DefModule_BlobTrackGen
{
CvBlobTrackGen* (*create)();//轨迹产生器(Trajectory Generator)主要作用是用于把轨迹存到一个文件中。
char* nickname;
char* description;
} DefModule_BlobTrackGen;
DefModule_BlobTrackGen BlobTrackGen_Modules[] =//定义了2个轨迹生成器。
{
{cvCreateModuleBlobTrackGenYML,"YML","Generate track record in YML format as synthetic video data"},
{cvCreateModuleBlobTrackGen1,"RawTracks","Generate raw track record (x,y,sx,sy),()... in each line"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY POST PROCESSING modules */
typedef struct DefModule_BlobTrackPostProc//轨迹的后续处理程序。
{
CvBlobTrackPostProc* (*create)();
char* nickname;
char* description;
} DefModule_BlobTrackPostProc;
DefModule_BlobTrackPostProc BlobTrackPostProc_Modules[] =
{
{cvCreateModuleBlobTrackPostProcKalman,"Kalman","Kalman filtering of blob position and size"},
{NULL,"None","No post processing filter"},
// {cvCreateModuleBlobTrackPostProcTimeAverRect,"TimeAverRect","Average by time using rectangle window"},
// {cvCreateModuleBlobTrackPostProcTimeAverExp,"TimeAverExp","Average by time using exponential window"},
{NULL,NULL,NULL}
};
/* list of BLOB TRAJECTORY ANALYSIS modules */
CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisDetector();
typedef struct DefModule_BlobTrackAnalysis
{
CvBlobTrackAnalysis* (*create)();
char* nickname;
char* description;
} DefModule_BlobTrackAnalysis;
DefModule_BlobTrackAnalysis BlobTrackAnalysis_Modules[] =
{
{cvCreateModuleBlobTrackAnalysisHistPVS,"HistPVS","Histogramm of 5D feture vector analysis (x,y,vx,vy,state)"},
{NULL,"None","No trajectory analiser"},
{cvCreateModuleBlobTrackAnalysisHistP,"HistP","Histogramm of 2D feture vector analysis (x,y)"},
{cvCreateModuleBlobTrackAnalysisHistPV,"HistPV","Histogramm of 4D feture vector analysis (x,y,vx,vy)"},
{cvCreateModuleBlobTrackAnalysisHistSS,"HistSS","Histogramm of 4D feture vector analysis (startpos,endpos)"},
{cvCreateModuleBlobTrackAnalysisTrackDist,"TrackDist","Compare tracks directly"},
{cvCreateModuleBlobTrackAnalysisIOR,"IOR","Integrator (by OR operation) of several analysers "},
{NULL,NULL,NULL}
};
/* list of Blob Trajectory ANALYSIS modules */
/*================= END MODULES DECRIPTION ===================================*/
/* run pipeline on all frames */
static int RunBlobTrackingAuto( CvCapture* pCap, CvBlobTrackerAuto* pTracker,char* fgavi_name = NULL, char* btavi_name = NULL )
{
int OneFrameProcess = 0;
int key;
int FrameNum = 0;
CvVideoWriter* pFGAvi = NULL;
CvVideoWriter* pBTAvi = NULL;
//cvNamedWindow( "FG", 0 );
/* main cicle */
for( FrameNum=0; pCap && (key=cvWaitKey(OneFrameProcess?0:2))!=27;//按下esc键整个程序结束。
FrameNum++)
{/* main cicle */// 整个程序的主循环。这个循环终止，意味着这个程序结束。
IplImage* pImg = NULL;
IplImage* pMask = NULL;
if(key!=-1)//这个我还不知道是什么意思。
{
OneFrameProcess = 1;
if(key=='r')OneFrameProcess = 0;
}
pImg = cvQueryFrame(pCap);///从视频流中得到一帧图像pImg是这帧图像的指针。
if(pImg == NULL) break;
/* Process */
pTracker->Process(pImg, pMask);//处理图像。这个函数应该执行完了所有的处理过程。
if(fgavi_name)//如果fgavi_name不为空。则执行下面的程序，如果传给 RunBlobTrackingAuto是空，则不执行。
if(pTracker->GetFGMask())//前景的图像的mask存在的话，执行下面的程序。
{/* debug FG */
IplImage* pFG = pTracker->GetFGMask();//得到前景的图像的mask，
cvShowImage("贾增申",pFG);//这里显示一下，我自己写的。
CvSize S = cvSize(pFG->width,pFG->height);
static IplImage* pI = NULL;
if(pI==NULL)pI = cvCreateImage(S,pFG->depth,3);//创建一下，防止内存不存在。
cvCvtColor( pFG, pI, CV_GRAY2BGR );//由于创建的mask是一个gray图，所以为了下面显示方便，转换成bgr格式的。、、实际工程中应该可以不用这个功能。，但调试的时候很有用。
if(fgavi_name)//传过来的avi名字不为空，意思就是说，你想存一下。
{/* save fg to avi file */
if(pFGAvi==NULL)//第一次使用这个pFgAvi这个变量应该创建一下。
{
pFGAvi=cvCreateVideoWriter(
fgavi_name,
CV_FOURCC('x','v','i','d'),
25,
S );
}
cvWriteFrame( pFGAvi, pI );//写入video
}
if(pTracker->GetBlobNum()>0)//pTracker找到了blob
{/* draw detected blobs */
int i;
for(i=pTracker->GetBlobNum();i>0;i--)//找到 了GetBlobNum（） 个。
{
CvBlob* pB = pTracker->GetBlob(i-1);//得到第i-1个blob
CvPoint p = cvPointFrom32f(CV_BLOB_CENTER(pB));//通过看源代码，太牛逼了，这个宏竟然是个强制转换得来的。见下行。
//////////////////////////////////////////////////#define CV_BLOB_CENTER(pB) cvPoint2D32f(((CvBlob*)(pB))->x,((CvBlob*)(pB))->y)
CvSize s = cvSize(MAX(1,cvRound(CV_BLOB_RX(pB))), MAX(1,cvRound(CV_BLOB_RY(pB))));
int c = cvRound(255*pTracker->GetState(CV_BLOB_ID(pB)));
cvEllipse( pI,//在那个坐标附近话个椭圆呗 。
p,
s,
0, 0, 360,
CV_RGB(c,255-c,0), cvRound(1+(3*c)/255) );
}/* next blob */;
}
cvNamedWindow( "FG",0);///显示出来。
cvShowImage( "FG",pI);
}/* debug FG*/
/* draw debug info */
if(pImg)//原始的每帧图像。
{/* draw all inforamtion about tets sequence */
char str[1024];
int line_type = CV_AA; // change it to 8 to see non-antialiased graphics
CvFont font;
int i;
IplImage* pI = cvCloneImage(pImg);
cvInitFont( &font, CV_FONT_HERSHEY_PLAIN, 0.7, 0.7, 0, 1, line_type );
for(i=pTracker->GetBlobNum();i>0;i--)//得到了GetBlobNum个blob
{//下面的代码可以参看上十几行的注释，这些代码几乎一样。
CvSize TextSize;
CvBlob* pB = pTracker->GetBlob(i-1);
CvPoint p = cvPoint(cvRound(pB->x*256),cvRound(pB->y*256));
CvSize s = cvSize(MAX(1,cvRound(CV_BLOB_RX(pB)*256)), MAX(1,cvRound(CV_BLOB_RY(pB)*256)));
int c = cvRound(255*pTracker->GetState(CV_BLOB_ID(pB)));
cvEllipse( pI,
p,
s,
0, 0, 360,
CV_RGB(c,255-c,0), cvRound(1+(3*0)/255), CV_AA, 8 );
p.x >>= 8;//下面代码的大概意思就是在找到的blob附近写下id。不再注释。
p.y >>= 8;
s.width >>= 8;
s.height >>= 8;
sprintf(str,"%03d",CV_BLOB_ID(pB));
cvGetTextSize( str, &font, &TextSize, NULL );
p.y -= s.height;
cvPutText( pI, str, p, &font, CV_RGB(0,255,255));
{
const char* pS = pTracker->GetStateDesc(CV_BLOB_ID(pB));
if(pS)
{
char* pStr = strdup(pS);
char* pStrFree = pStr;
for(;pStr && strlen(pStr)>0;)
{
char* str_next = strchr(pStr,'
');
if(str_next)
{
str_next[0] = 0;
str_next++;
}
p.y += TextSize.height+1;
cvPutText( pI, pStr, p, &font, CV_RGB(0,255,255));
pStr = str_next;
}
free(pStrFree);
}
}
}/* next blob */;
cvNamedWindow( "Tracking", 0);//显示出画出椭圆的帧
cvShowImage( "Tracking",pI );
if(btavi_name && pI)//如果这一帧存在且，你想把图像存起来，就是传过来的参数不为空例如 btavi_name=“我日.avi" 就能存起来了。
{/* save to avi file */
CvSize S = cvSize(pI->width,pI->height);//下面的代码类似于fg的图像的存储代码，请参看上面的代码注释。
if(pBTAvi==NULL)
{
pBTAvi=cvCreateVideoWriter(
btavi_name,
CV_FOURCC('x','v','i','d'),
25,
S );
}
cvWriteFrame( pBTAvi, pI );
}
cvReleaseImage(&pI);//释放掉这一帧
}/* draw all inforamtion about tets sequence */
}/* main cicle */
if(pFGAvi)cvReleaseVideoWriter( &pFGAvi );//把fg的图像存到硬盘上。
if(pBTAvi)cvReleaseVideoWriter( &pBTAvi );//把每帧图像存到硬盘上，同时释放资源。
return 0;//执行到这里的时候实际上已经退出了。我想如果不考虑内存泄露的话，可以改为exit（0） ，但是不建议，因为有内存泄露存在。还是返回到main函数比较好。
}/* RunBlobTrackingAuto */
/* read parameters from command line and transfer to specified module */
static void set_params(int argc, char* argv[], CvVSModule* pM, char* prefix, char* module)
{
int prefix_len = strlen(prefix);
int i;
for(i=0;i<argc;++i)
{
int j;
char* ptr_eq = NULL;
int cmd_param_len=0;
char* cmd = argv[i];
if(MY_STRNICMP(prefix,cmd,prefix_len)!=0) continue;
cmd += prefix_len;
if(cmd[0]!=':')continue;
cmd++;
ptr_eq = strchr(cmd,'=');
if(ptr_eq)cmd_param_len = ptr_eq-cmd;
for(j=0;;++j)
{
int param_len;
const char* param = pM->GetParamName(j);
if(param==NULL) break;
param_len = strlen(param);
if(cmd_param_len!=param_len) continue;
if(MY_STRNICMP(param,cmd,param_len)!=0) continue;
cmd+=param_len;
if(cmd[0]!='=')continue;
cmd++;
pM->SetParamStr(param,cmd);
printf("%s:%s param set to %g
",module,param,pM->GetParam(param));
}
}
pM->ParamUpdate();
}/* set_params */
/* print all parameters value for given module */
static void print_params(CvVSModule* pM, char* module, char* log_name)
{
FILE* log = log_name?fopen(log_name,"at"):NULL;
int i;
if(pM->GetParamName(0) == NULL ) return;
printf("%s(%s) module parameters:
",module,pM->GetNickName());
if(log)
fprintf(log,"%s(%s) module parameters:
",module,pM->GetNickName());
for(i=0;;++i)
{
const char* param = pM->GetParamName(i);
const char* str = param?pM->GetParamStr(param):NULL;
if(param == NULL)break;
if(str)
{
printf(" %s: %s
",param,str);
if(log)
fprintf(log," %s: %s
",param,str);
}
else
{
printf(" %s: %g
",param,pM->GetParam(param));
if(log)
fprintf(log," %s: %g
",param,pM->GetParam(param));
}
}
if(log)fclose(log);
}/* print_params */
//本人认为，虽然这种命令行的形式可以使一个程序可以验证多种算法，但是命令行无可否认，太难用了。
int main(int argc, char* argv[])
{/* main function */
CvCapture* pCap = NULL;
CvBlobTrackerAutoParam1 param = {0};
CvBlobTrackerAuto* pTracker = NULL;
float scale = 1;
char* scale_name = NULL;
char* yml_name = NULL;
char** yml_video_names = NULL;
int yml_video_num = 0;
char* avi_name = NULL;
char* fg_name = NULL;
char* fgavi_name = NULL;
char* btavi_name = NULL;
char* bd_name = NULL;
char* bt_name = NULL;
char* btgen_name = NULL;
char* btpp_name = NULL;
char* bta_name = NULL;
char* bta_data_name = NULL;
char* track_name = NULL;
char* comment_name = NULL;
char* FGTrainFrames = NULL;
char* log_name = NULL;
char* savestate_name = NULL;
char* loadstate_name = NULL;
char* bt_corr = NULL;
DefModule_FGDetector* pFGModule = NULL;
DefModule_BlobDetector* pBDModule = NULL;
DefModule_BlobTracker* pBTModule = NULL;
DefModule_BlobTrackPostProc* pBTPostProcModule = NULL;
DefModule_BlobTrackGen* pBTGenModule = NULL;
DefModule_BlobTrackAnalysis* pBTAnalysisModule = NULL;
cvInitSystem(argc, argv);
if(argc < 2)//如果你的参数连2个都没有就打印出帮助来。
{/* print help */
int i;
printf("blobtrack [fg=<fg_name>] [bd=<bd_name>]
"
" [bt=<bt_name>] [btpp=<btpp_name>]
"
" [bta=<bta_name>
"
" [bta_data=<bta_data_name>
"
" [bt_corr=<bt_corr_way>]
"
" [btgen=<btgen_name>]
"
" [track=<track_file_name>]
"
" [scale=<scale val>] [noise=<noise_name>] [IVar=<IVar_name>]
"
" [FGTrainFrames=<FGTrainFrames>]
"
" [btavi=<avi output>] [fgavi=<avi output on FG>]
"
" <avi_file>
");
printf(" <bt_corr_way> is way of blob position corrrection for "Blob Tracking" module
"
" <bt_corr_way>=none,PostProcRes
"
" <FGTrainFrames> is number of frames for FG training
"
" <track_file_name> is file name for save tracked trajectories
"
" <bta_data> is file name for data base of trajectory analysis module
"
" <avi_file> is file name of avi to process by BlobTrackerAuto
");
puts("
Modules:");
#define PR(_name,_m,_mt)
printf("<%s> is "%s" module name and can be:
",_name,_mt);
for(i=0;_m[i].nickname;++i)
{
printf(" %d. %s",i+1,_m[i].nickname);
if(_m[i].description)printf(" - %s",_m[i].description);
printf("
");
}
PR("fg_name",FGDetector_Modules,"FG/BG Detection");
PR("bd_name",BlobDetector_Modules,"Blob Entrance Detection");
PR("bt_name",BlobTracker_Modules,"Blob Tracking");
PR("btpp_name",BlobTrackPostProc_Modules, "Blob Trajectory Post Processing");
PR("btgen_name",BlobTrackGen_Modules, "Blob Trajectory Generation");
PR("bta_name",BlobTrackAnalysis_Modules, "Blob Trajectory Analysis");
#undef PR
getchar();
return 0;
}/* print help */
{/* parse arguments */
int i;
for(i=1;i<argc;++i)//下面的是参数初始化。
{
int bParsed = 0;
size_t len = strlen(argv[i]);
#define RO(_n1,_n2) if(strncmp(argv[i],_n1,strlen(_n1))==0) {_n2 = argv[i]+strlen(_n1);bParsed=1;};
RO("fg=",fg_name);//着重分析这个宏，如果argv【i】等于"fg="这个字符串。
//我们就认为是给邋fg_name这个变量赋值。以下宏相同。
RO("fgavi=",fgavi_name);
RO("btavi=",btavi_name);
RO("bd=",bd_name);
RO("bt=",bt_name);
RO("bt_corr=",bt_corr);
RO("btpp=",btpp_name);
RO("bta=",bta_name);
RO("bta_data=",bta_data_name);
RO("btgen=",btgen_name);
RO("track=",track_name);
RO("comment=",comment_name);
RO("FGTrainFrames=",FGTrainFrames);
RO("log=",log_name);
RO("savestate=",savestate_name);
RO("loadstate=",loadstate_name);
#undef RO
{
char* ext = argv[i] + len-4;
if( strrchr(argv[i],'=') == NULL &&
!bParsed &&
(len>3 && (MY_STRICMP(ext,".avi") == 0 )))
{
avi_name = argv[i];//满足上面的if条件就给avi_name赋值，就是要打开的视频文件名称。
break;
}
}/* next argument */
}
}/* parse arguments */
if(track_name)//如果定义了轨迹存储的文件，就执行下面的程序。
{/* set Trajectory Generator module */
int i;
if(!btgen_name)btgen_name=BlobTrackGen_Modules[0].nickname;
for(i=0;BlobTrackGen_Modules[i].nickname;++i)//从最初这个数组的定义可以看到，最后的一个元素是null，可以根据这个条件来判断是否结束。
{
if(MY_STRICMP(BlobTrackGen_Modules[i].nickname,btgen_name)==0)
pBTGenModule = BlobTrackGen_Modules + i;
}
}/* set Trajectory Generator modulke */
/* init postprocessing module if tracker correction by postporcessing is reqierd *///后续处理，这个我没有使用，没有深究它
if(bt_corr && MY_STRICMP(bt_corr,"PostProcRes")!=0 && !btpp_name)
{
btpp_name = bt_corr;
if(MY_STRICMP(btpp_name,"none")!=0)bt_corr = "PostProcRes";
}
{/* set default parameters for one processing */
if(!bt_corr) bt_corr = "none";
if(!fg_name) fg_name = FGDetector_Modules[0].nickname;//如果从main传过来的参数的邋fg_name为空，则将这个数组的第0个附给邋fg_name。
if(!bd_name) bd_name = BlobDetector_Modules[0].nickname;//同上。
if(!bt_name) bt_name = BlobTracker_Modules[0].nickname;
if(!btpp_name) btpp_name = BlobTrackPostProc_Modules[0].nickname;
if(!bta_name) bta_name = BlobTrackAnalysis_Modules[0].nickname;
if(!scale_name) scale_name = "1";
}
if(scale_name) //scale这个参数在这个程序中没有使用。
scale = (float)atof(scale_name);
for(pFGModule=FGDetector_Modules;pFGModule->nickname;++pFGModule)//给邋邋邋pFGModule赋值。注意到文件最开头的几个数组的最后都是null结尾的。
if( fg_name && MY_STRICMP(fg_name,pFGModule->nickname)==0 ) break;//null是结束的标志。
for(pBDModule=BlobDetector_Modules;pBDModule->nickname;++pBDModule)
if( bd_name && MY_STRICMP(bd_name,pBDModule->nickname)==0 ) break;
for(pBTModule=BlobTracker_Modules;pBTModule->nickname;++pBTModule)
if( bt_name && MY_STRICMP(bt_name,pBTModule->nickname)==0 ) break;
for(pBTPostProcModule=BlobTrackPostProc_Modules;pBTPostProcModule->nickname;++pBTPostProcModule)
if( btpp_name && MY_STRICMP(btpp_name,pBTPostProcModule->nickname)==0 ) break;
for(pBTAnalysisModule=BlobTrackAnalysis_Modules;pBTAnalysisModule->nickname;++pBTAnalysisModule)
if( bta_name && MY_STRICMP(bta_name,pBTAnalysisModule->nickname)==0 ) break;
/* create source video */
if(avi_name) //定义视频的来源。
pCap = cvCaptureFromFile(avi_name);//从邋avi_name的视频中读取数据。
//pCap = cvCreateCameraCapture(-1);//从摄像头中读取数据。
if(pCap==NULL)
{
printf("Can't open %s file
",avi_name);
return -1;
}
{/* display parameters */
int i;
FILE* log = log_name?fopen(log_name,"at"):NULL;
if(log)//rug如果定义了log的name那么就给你输出到一个log文件中。
{/* print to log file *///下面的大概意思是输出log的格式，没有深入分析。有兴趣可以自己分析。
fprintf(log,"
=== Blob Tracking pipline in processing mode===
");
if(avi_name)
{
fprintf(log,"AVIFile: %s
",avi_name);
}
fprintf(log,"FGDetector: %s
", pFGModule->nickname);
fprintf(log,"BlobDetector: %s
", pBDModule->nickname);
fprintf(log,"BlobTracker: %s
", pBTModule->nickname);
fprintf(log,"BlobTrackPostProc: %s
", pBTPostProcModule->nickname);
fprintf(log,"BlobCorrection: %s
", bt_corr);
fprintf(log,"Blob Trajectory Generator: %s (%s)
",
pBTGenModule?pBTGenModule->nickname:"None",
track_name?track_name:"none");
fprintf(log,"BlobTrackAnalysis: %s
", pBTAnalysisModule->nickname);
fclose(log);
}
printf("
=== Blob Tracking pipline in %s mode===
","processing");
if(yml_name)//如果定义了yml_name 那么就读取配置文件。
{
printf("ConfigFile: %s
",yml_name);
printf("BG: %s
",yml_video_names[0]);
printf("FG: ");
for(i=1;i<(yml_video_num);++i){printf(yml_video_names[i]);if((i+1)<yml_video_num)printf("|");};
printf("
");
}
if(avi_name)//这个判断是多余的，前面已经判断了很多遍了。
{
printf("AVIFile: %s
",avi_name);
}
printf("FGDetector: %s
", pFGModule->nickname);//输出各个模块的邋nick_name
printf("BlobDetector: %s
", pBDModule->nickname);
printf("BlobTracker: %s
", pBTModule->nickname);
printf("BlobTrackPostProc: %s
", pBTPostProcModule->nickname);
printf("BlobCorrection: %s
", bt_corr);
printf("Blob Trajectory Generator: %s (%s)
",
pBTGenModule?pBTGenModule->nickname:"None",
track_name?track_name:"none");
printf("BlobTrackAnalysis: %s
", pBTAnalysisModule->nickname);
}/* display parameters */
{ /* create autotracker module and its components*///
param.FGTrainFrames = FGTrainFrames?atoi(FGTrainFrames):0;
//param二神出现了。。。为什么说是二神呢?因为大神还在后面。二神是为大神服务的。
//param的主要作用是param内部的指向各个模块的指针
//上面的FgTrainFrames 是int类型，，指示当前的训练的帧数。
/* Create FG Detection module */
param.pFG = pFGModule->create();//pFg的作用是指向CvFGDetector模块的地址。
if(!param.pFG)//如果没有成功，打印错误向屏幕。一般不会出现这种情况。
puts("Can not create FGDetector module");
param.pFG->SetNickName(pFGModule->nickname);//定义这个模块的昵称，原来写opencv的那群人也很浪漫，什么也得加个Nickname，比方说“小甜甜”，
set_params(argc, argv, param.pFG, "fg", pFGModule->nickname);//不太清楚这个函数是做什么的。
/* Create Blob Entrance Detection module */
param.pBD = pBDModule->create();//指向CvBlobDetector模块。
if(!param.pBD)
puts("Can not create BlobDetector module");
param.pBD->SetNickName(pBDModule->nickname);
set_params(argc, argv, param.pBD, "bd", pBDModule->nickname);
/* Create blob tracker module */
param.pBT = pBTModule->create();//指向CvBlobTracker模块
if(!param.pBT)
puts("Can not create BlobTracker module");
param.pBT->SetNickName(pBTModule->nickname);
set_params(argc, argv, param.pBT, "bt", pBTModule->nickname);
/* create blob trajectory generation module */
param.pBTGen = NULL;//指向CvBlobTrackGen模块
if(pBTGenModule && track_name && pBTGenModule->create)
{
param.pBTGen = pBTGenModule->create();
param.pBTGen->SetFileName(track_name);
}
if(param.pBTGen)
{
param.pBTGen->SetNickName(pBTGenModule->nickname);
set_params(argc, argv, param.pBTGen, "btgen", pBTGenModule->nickname);
}
/* create blob trajectory post processing module *///你应该能看懂这句。
param.pBTPP = NULL;
if(pBTPostProcModule && pBTPostProcModule->create)
{
param.pBTPP = pBTPostProcModule->create();
}
if(param.pBTPP)
{
param.pBTPP->SetNickName(pBTPostProcModule->nickname);
set_params(argc, argv, param.pBTPP, "btpp", pBTPostProcModule->nickname);
}
param.UsePPData = (bt_corr && MY_STRICMP(bt_corr,"PostProcRes")==0);
/* create blob trajectory analysis module *///你应该能看懂这句。
param.pBTA = NULL;
if(pBTAnalysisModule && pBTAnalysisModule->create)
{
param.pBTA = pBTAnalysisModule->create();
param.pBTA->SetFileName(bta_data_name);
}
if(param.pBTA)
{
param.pBTA->SetNickName(pBTAnalysisModule->nickname);
set_params(argc, argv, param.pBTA, "bta", pBTAnalysisModule->nickname);
}
/* create whole pipline *///pTracker大神终于出现了，原来上面全是param的初始化。通过param来初始化pTracker
pTracker = cvCreateBlobTrackerAuto1(¶m);
if(!pTracker)
puts("Can not create BlobTrackerAuto");
}
{ /* load states of each module from state file */
CvFileStorage* fs = NULL;
if(loadstate_name) //如果你想从已有的配置文件中读取数据就定义loadstate_name中读取。
fs=cvOpenFileStorage(loadstate_name,NULL,CV_STORAGE_READ);
if(fs)
{
printf("Load states for modules...
");
if(param.pBT)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTracker");//读取邋BlobTracker的值，
param.pBT->LoadState(fs,fn);//
}
if(param.pBTA)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTrackAnalyser");
param.pBTA->LoadState(fs,fn);
}
if(pTracker)
{
CvFileNode* fn = cvGetFileNodeByName(fs,NULL,"BlobTrackerAuto");
pTracker->LoadState(fs,fn);
}
cvReleaseFileStorage(&fs);
printf("... Modules states loaded
");
}
}/* load states of each module */
{/* print modules parameters */
struct DefMMM
{
CvVSModule* pM;
char* name;
} Modules[] = {
{(CvVSModule*)param.pFG,"FGdetector"},
{(CvVSModule*)param.pBD,"BlobDetector"},
{(CvVSModule*)param.pBT,"BlobTracker"},
{(CvVSModule*)param.pBTGen,"TrackGen"},
{(CvVSModule*)param.pBTPP,"PostProcessing"},
{(CvVSModule*)param.pBTA,"TrackAnalysis"},
{NULL,NULL}
};
int i;
for(i=0;Modules[i].name;++i)//打各个模块的信息，这时候邋nick_name起了作用了。
{
if(Modules[i].pM)
print_params(Modules[i].pM,Modules[i].name,log_name);
}
}/* print modules parameters */
/* run pipeline *///开始流水线。流水线退出，意味着程序结束，
RunBlobTrackingAuto( pCap, pTracker, fgavi_name, btavi_name );
{/* save state and release modules *///释放内存，摄像头句柄，保存文件等。
CvFileStorage* fs = NULL;
if(savestate_name)
{
fs=cvOpenFileStorage(savestate_name,NULL,CV_STORAGE_WRITE);
}
if(fs)
{
cvStartWriteStruct(fs,"BlobTracker",CV_NODE_MAP);
if(param.pBT)param.pBT->SaveState(fs);
cvEndWriteStruct(fs);
cvStartWriteStruct(fs,"BlobTrackerAuto",CV_NODE_MAP);
if(pTracker)pTracker->SaveState(fs);
cvEndWriteStruct(fs);
cvStartWriteStruct(fs,"BlobTrackAnalyser",CV_NODE_MAP);
if(param.pBTA)param.pBTA->SaveState(fs);
cvEndWriteStruct(fs);
cvReleaseFileStorage(&fs);
}
if(param.pBT)cvReleaseBlobTracker(¶m.pBT);
if(param.pBD)cvReleaseBlobDetector(¶m.pBD);
if(param.pBTGen)cvReleaseBlobTrackGen(¶m.pBTGen);
if(param.pBTA)cvReleaseBlobTrackAnalysis(¶m.pBTA);
if(param.pFG)cvReleaseFGDetector(¶m.pFG);
if(pTracker)cvReleaseBlobTrackerAuto(&pTracker);
}/* save state and release modules*/
if(pCap)
cvReleaseCapture(&pCap);
//getchar();
return 0;
}/* main */