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C++ cvOpenFileStorage函数代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了C++中cvOpenFileStorage函数的典型用法代码示例。如果您正苦于以下问题：C++ cvOpenFileStorage函数的具体用法？C++ cvOpenFileStorage怎么用？C++ cvOpenFileStorage使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。



在下文中一共展示了cvOpenFileStorage函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。

示例1: main

int main(int argc, const char * argv[]) {
    CvMat *cmatrix = cvCreateMat(5,5,CV_32FC1);
    float element_3_2 = 7.7;
    *((float*)CV_MAT_ELEM_PTR( *cmatrix, 3,2) ) = element_3_2;
    cvmSet(cmatrix,4,4,0.5000);
    cvSetReal2D(cmatrix,3,3,0.5000);
    
    CvFileStorage* fs1 = cvOpenFileStorage("cfg.xml", 0, CV_STORAGE_WRITE);
    cvWriteInt( fs1, "frame_count", 10 );
    cvStartWriteStruct( fs1, "frame_size", CV_NODE_SEQ );
    cvWriteInt( fs1 , 0, 320 );
    cvWriteInt( fs1 , 0, 200 );
    cvEndWriteStruct( fs1 );
    cvWrite( fs1, "color_cvt_matrix", cmatrix );
    cvReleaseFileStorage( &fs1 );
    
    CvFileStorage* fs2 = cvOpenFileStorage("cfg.xml", 0, CV_STORAGE_READ);
    int frame_count = cvReadIntByName( fs2 , 0, "frame_count");
    CvSeq* s = cvGetFileNodeByName( fs2,0,"frame_size" )->data.seq;
    int frame_width = cvReadInt( (CvFileNode*)cvGetSeqElem(s,0) );
    int frame_height = cvReadInt( (CvFileNode*)cvGetSeqElem(s,1) );
    CvMat* color_cvt_matrix = (CvMat*) cvReadByName( fs2, 0 , "color_cvt_matrix");
    
    printf("color_cvt_matrix: width=%d, height=%d\n",color_cvt_matrix->width, color_cvt_matrix->height );
    printf("frame_count=%d, frame_width=%d, frame_height=%d\n",frame_count,frame_width,frame_height);
    
    cvReleaseFileStorage( &fs2 );
    
    return 0;
}
开发者ID:yourtion，项目名称:LearningOpenCV，代码行数:30，代码来源:FileStorage.cpp


示例2: defined

  void PreProcessor::loadConfig()
  {
#if defined(_WIN32)
	//CvFileStorage* fs = cvOpenFileStorage("F:\\Developer\\BGS\\AndrewsSobral\\bgslibrary\\config\\PreProcessor.xml", 0, CV_STORAGE_READ);
	CvFileStorage* fs = cvOpenFileStorage("config\\PreProcessor.xml", 0, CV_STORAGE_READ);
#else
    CvFileStorage* fs = cvOpenFileStorage("./config/PreProcessor.xml", 0, CV_STORAGE_READ);
#endif   

    equalizeHist = cvReadIntByName(fs, 0, "equalizeHist", false);
    gaussianBlur = cvReadIntByName(fs, 0, "gaussianBlur", false);
    enableShow = cvReadIntByName(fs, 0, "enableShow", true);

    cvReleaseFileStorage(&fs);
  }
开发者ID:dudullz，项目名称:ibb，代码行数:15，代码来源:PreProcessor.cpp


示例3: ReadFeature

void ReadFeature(
		char* fileName,
		FEATURE* feature){
	CvFileStorage* fs = cvOpenFileStorage( fileName, 0, CV_STORAGE_READ, NULL);
	if (fs==NULL){
		fprintf(stderr, "can't open feature file!\n");
		return;
	}
	feature->radius 	= cvReadIntByName(fs, NULL, "radius", RADIUS);
	feature->neighbors	= cvReadIntByName(fs, NULL, "neighbors", NEIGHBORS);
	feature->grid_x		= cvReadIntByName(fs, NULL, "grid_x", GRID_X);
	feature->grid_y		= cvReadIntByName(fs, NULL, "grid_y", GRID_Y);
	feature->num_faces	= cvReadIntByName(fs, NULL, "num_faces", 0);

	char faceid[1024];
	char id[20];
	feature->histogram = (CvMat**) malloc(feature->num_faces*sizeof(CvMat*));
	for (int i=0; i<feature->num_faces; i++){
		strcpy(faceid, "face-");
		sprintf(id, "%d", i);
		strcat(faceid, id);
		feature->histogram[i] = cvReadByName(fs, NULL, faceid, NULL);
	}
	if (HUELBP_ON){
		feature->hue_histogram = (CvMat**) malloc(feature->num_faces*sizeof(CvMat*));
		for (int i=0; i<feature->num_faces; i++){
			strcpy(faceid, "hue-face-");
			sprintf(id, "%d", i);
			strcat(faceid, id);
			feature->hue_histogram[i] = cvReadByName(fs, NULL, faceid, NULL);
		}
	}
	cvReleaseFileStorage( &fs );

}
开发者ID:namwkim，项目名称:FaceSearch，代码行数:35，代码来源:face-search.c


示例4: loadTrainingData

//加载保存过的训练结果
int loadTrainingData(CvMat ** pTrainPersonNumMat)
{
	CvFileStorage * fileStorage;
	int i;

	
	fileStorage = cvOpenFileStorage( "facedata.xml", 0, CV_STORAGE_READ );
	if( !fileStorage )
	{
		fprintf(stderr, "Can't open facedata.xml\n");
		return 0;
	}

	nEigens = cvReadIntByName(fileStorage, 0, "nEigens", 0);
	nTrainFaces = cvReadIntByName(fileStorage, 0, "nTrainFaces", 0);
	*pTrainPersonNumMat = (CvMat *)cvReadByName(fileStorage, 0, "trainPersonNumMat", 0);
	eigenValMat  = (CvMat *)cvReadByName(fileStorage, 0, "eigenValMat", 0);
	projectedTrainFaceMat = (CvMat *)cvReadByName(fileStorage, 0, "projectedTrainFaceMat", 0);
	pAvgTrainImg = (IplImage *)cvReadByName(fileStorage, 0, "avgTrainImg", 0);
	eigenVectArr = (IplImage **)cvAlloc(nTrainFaces*sizeof(IplImage *));
	for(i=0; i<nEigens; i++)
	{
		char varname[200];
		sprintf( varname, "eigenVect_%d", i );
		eigenVectArr[i] = (IplImage *)cvReadByName(fileStorage, 0, varname, 0);
	}

	
	cvReleaseFileStorage( &fileStorage );

	return 1;
}
开发者ID:xingren，项目名称:face-recognition，代码行数:33，代码来源:fuction.cpp


示例5: dir

void BlobTrackingNode::loadConfig()
{
    QDir dir(QDir::home());
    if(!dir.exists("NoobaVSS")){
        dir.mkdir("NoobaVSS");
    }
    dir.cd("NoobaVSS");
    if(!dir.exists("config")){
        dir.mkdir("config");
    }
    dir.cd("config");

    CvFileStorage* fs = cvOpenFileStorage(dir.absoluteFilePath("blobtrackingconfig.xml").toLocal8Bit(), 0, CV_STORAGE_READ);
  
    if(fs == NULL){
        std::cout << "Error opening file";
        minArea		= 100;
        maxArea		= 20000;
        debugTrack	= false;
        debugBlob	= false;
        showBlobMask= false;
        showOutput	= false;
        return;
    }
    minArea = cvReadIntByName(fs, 0, "minArea", 100);
    maxArea = cvReadIntByName(fs, 0, "maxArea", 20000);

    debugTrack	= cvReadIntByName(fs, 0, "debugTrack", false);
    debugBlob		= cvReadIntByName(fs, 0, "debugBlob", false);
    showBlobMask	= cvReadIntByName(fs, 0, "showBlobMask", true);
    showOutput	= cvReadIntByName(fs, 0, "showOutput", true);

    cvReleaseFileStorage(&fs);
}
开发者ID:hachat，项目名称:nooba-plugin-tracking-2，代码行数:34，代码来源:BlobTrackingNode.cpp


示例6: main

int main(int argc, char** argv)
{
	if (argc == 1) {
		printf("Usage: %s <input> <config>\n", argv[0]);
		return 0;
	}

	char* filename = (argc > 1 ? argv[1] : (char*)"input.jpg");

	profile_name = (argc > 2 ? argv[2] : (char*)"blue_goal.yml");


	fs = cvOpenFileStorage(profile_name, 0, CV_STORAGE_READ, NULL);
	Hmax = cvReadIntByName(fs, NULL, "m_100", m_100);
	Hmax = cvReadIntByName(fs, NULL, "Hmax", Hmax);
	Smax = cvReadIntByName(fs, NULL, "Smax", Smax);
	Vmax = cvReadIntByName(fs, NULL, "Vmax", Vmax);
	Hmin = cvReadIntByName(fs, NULL, "Hmin", Hmin);
	Smin = cvReadIntByName(fs, NULL, "Smin", Smin);
	Vmin = cvReadIntByName(fs, NULL, "Vmin", Vmin);
	//minH = cvReadIntByName(fs, NULL, "minH", minH);

	printf("%s\n", filename);
	img = cvLoadImage(filename, 1);

	visy_img_alloc(&img, cvGetSize(img), 8, 1);
	imgThreshed = cvCreateImage(cvGetSize(img), 8, 1);

	//cvSmooth( imgHSV, imgHSV, CV_GAUSSIAN, 7, 7 );
	//cvInRangeS(imgHSV, cvScalar(20, 100, 100), cvScalar(30, 255, 255), imgThreshed);

	//cvInRangeS(imgHSV, cvScalar(100, 100, 100), cvScalar(120, 255, 255), imgThreshed);

	//cvInRangeS(imgHSV, cvScalar(0.11*256, 0.60*256, 0.20*256, 0),
	//                cvScalar(0.14*256, 1.00*256, 1.00*256, 0), imgThreshed);

	cvNamedWindow("origin", CV_WINDOW_AUTOSIZE);
	cvNamedWindow("treshed", CV_WINDOW_AUTOSIZE);
	cvNamedWindow("graph", CV_WINDOW_AUTOSIZE);


	cvCreateTrackbar("m_100", "treshed", &m_100, 255, onTrack);
	cvCreateTrackbar("Hmin", "treshed", &Hmin, 180, onTrack);
	cvCreateTrackbar("Smin", "treshed", &Smin, 255, onTrack);
	cvCreateTrackbar("Vmin", "treshed", &Vmin, 255, onTrack);

	cvCreateTrackbar("Hmax", "treshed", &Hmax, 180, onTrack);
	cvCreateTrackbar("Smax", "treshed", &Smax, 255, onTrack);
	cvCreateTrackbar("Vmax", "treshed", &Vmax, 255, onTrack);
	//cvCreateTrackbar("minH", "treshed", &minH, 255, onTrack);


	onTrack(0);

	//cvSaveImage("hsv.jpg", imgHSV);

	while(cvWaitKey(0) != 97);

	return 0;
}
开发者ID:xlcteam，项目名称:visy，代码行数:60，代码来源:ViSyAnalyze.c


示例7: main

int main (int argc, char *argv[]) 
{
	IplImage *img;
	CvFileStorage *fs;
	CvSeq* seq;
	CvMemStorage *str;
	int N,i;
	
	parse_args(argc,argv);

	str = cvCreateMemStorage(0);
	img = cvCreateImage(cvSize(WIDTH,HEIGHT), 8, 3);
	cvZero(img);
	fs = cvOpenFileStorage(infile, str, CV_STORAGE_READ, NULL);
	assert(fs);

	N = cvReadIntByName(fs, NULL, "N", 0);
	seq = cvReadByName(fs, NULL, "seq", 0);

	printf("N=%d\n", N);
	for (i=0; i<seq->total; i++) {
		CvPoint p;

		p = *(CvPoint*)cvGetSeqElem(seq, i);
		cvCircle(img, p, R, CV_RGB(255,0,0), -1, 8, 0);
	}

	cvShowImage("proto", img);
	cvWaitKey(0);
	
	cvReleaseFileStorage(&fs);
	cvReleaseImage(&img);
	
	return 0;
}
开发者ID:ChristianFrisson，项目名称:XKin，代码行数:35，代码来源:viewproto.c


示例8: storeTrainingData

// Save the training data to the file 'facedata.xml'.
void storeTrainingData()
{
    CvFileStorage * fileStorage;
    int i;
    
    // create a file-storage interface

    fileStorage = cvOpenFileStorage( facedata, 0, CV_STORAGE_WRITE );    
    // Store the person names. Added by Shervin.
    cvWriteInt( fileStorage, "nPersons", nPersons );
    for (i=0; i<nPersons; i++) {
        char varname[200];
        sprintf( varname, "personName_%d", (i+1) );
        cvWriteString(fileStorage, varname, personNames[i].c_str(), 0);
    }
    
    // store all the data
    cvWriteInt( fileStorage, "nEigens", nEigens );
    cvWriteInt( fileStorage, "nTrainFaces", nTrainFaces );
    cvWrite(fileStorage, "trainPersonNumMat", personNumTruthMat, cvAttrList(0,0));
    cvWrite(fileStorage, "eigenValMat", eigenValMat, cvAttrList(0,0));
    cvWrite(fileStorage, "projectedTrainFaceMat", projectedTrainFaceMat, cvAttrList(0,0));
    cvWrite(fileStorage, "avgTrainImg", pAvgTrainImg, cvAttrList(0,0));
    for(i=0; i<nEigens; i++)
    {
        char varname[200];
        sprintf( varname, "eigenVect_%d", i );
        cvWrite(fileStorage, varname, eigenVectArr[i], cvAttrList(0,0));
    }
    
    // release the file-storage interface
    cvReleaseFileStorage( &fileStorage );
}
开发者ID:HVisionSensing，项目名称:DesignProjectOpenCV，代码行数:34，代码来源:FaceRec.cpp


示例9: storeTrainingData

//存储训练结果
void storeTrainingData()
{
	CvFileStorage * fileStorage;
	int i;

	
	fileStorage = cvOpenFileStorage( "facedata.xml", 0, CV_STORAGE_WRITE );

	//存储特征值，投影矩阵，平均矩阵等训练结果
	cvWriteInt( fileStorage, "nEigens", nEigens );
	cvWriteInt( fileStorage, "nTrainFaces", nTrainFaces );
	cvWrite(fileStorage, "trainPersonNumMat", personNumTruthMat, cvAttrList(0,0));
	cvWrite(fileStorage, "eigenValMat", eigenValMat, cvAttrList(0,0));
	cvWrite(fileStorage, "projectedTrainFaceMat", projectedTrainFaceMat, cvAttrList(0,0));
	cvWrite(fileStorage, "avgTrainImg", pAvgTrainImg, cvAttrList(0,0));
	for(i=0; i<nEigens; i++)
	{
		char varname[200];
		sprintf( varname, "eigenVect_%d", i );
		cvWrite(fileStorage, varname, eigenVectArr[i], cvAttrList(0,0));
	}


	cvReleaseFileStorage( &fileStorage );
}
开发者ID:xingren，项目名称:face-recognition，代码行数:26，代码来源:fuction.cpp


示例10: cvOpenFileStorage

void GazeTracker::load() {
	CvFileStorage *in = cvOpenFileStorage("calibration.xml", NULL, CV_STORAGE_READ);
	CvFileNode *root = cvGetRootFileNode(in);
	load(in, cvGetFileNodeByName(in, root, "GazeTracker"));
	cvReleaseFileStorage(&in);
	updateGaussianProcesses();
}
开发者ID:MariadeAnton，项目名称:OpenGazer，代码行数:7，代码来源:GazeTracker.cpp


示例11: icvReadSVHNLabels

CvMat * icvReadSVHNLabels(char * filename, const int max_samples)
{
  CvFileStorage * fs = cvOpenFileStorage(filename,0,CV_STORAGE_READ);
  if (!fs){fprintf(stderr,"file loading error: %s\n",filename);return 0;}
  CvFileNode * fnode = cvGetRootFileNode(fs);
  char tagname[20]; int ii;
  const int nparams = 4;
  CvMat * data = cvCreateMat(max_samples,1+nparams*10,CV_32S); cvZero(data);
  for (ii=0;;ii++){
    sprintf(tagname,"img%d",ii+1);
    CvMat * sample = (CvMat*)cvReadByName(fs,fnode,tagname);
    if (!sample || ii==max_samples){break;}
    int nnumbers = sample->rows;
    CV_MAT_ELEM(*data,int,ii,0)=nnumbers;
    for (int jj=0;jj<nnumbers;jj++){
      float xx = CV_MAT_ELEM(*sample,float,jj,0);
      float yy = CV_MAT_ELEM(*sample,float,jj,1);
      float ww = CV_MAT_ELEM(*sample,float,jj,2);
      float hh = CV_MAT_ELEM(*sample,float,jj,3);
      float ll = CV_MAT_ELEM(*sample,float,jj,4);
      CV_MAT_ELEM(*data,int,ii,1+nparams*jj+0)=cvRound(xx+ww*.5f);  // x
      CV_MAT_ELEM(*data,int,ii,1+nparams*jj+1)=cvRound(yy+hh*.5f);  // y
      CV_MAT_ELEM(*data,int,ii,1+nparams*jj+2)=cvRound(MAX(ww,hh));   // scale
      CV_MAT_ELEM(*data,int,ii,1+nparams*jj+3)=cvRound(ll);           // label
    }
    cvReleaseMat(&sample);
  }
  data->rows = ii;
  cvReleaseFileStorage(&fs);
  return data;
}
开发者ID:liangfu，项目名称:dnn，代码行数:31，代码来源:transfer_svhn_dram.cpp


示例12: LOGD

//////////////////////////////////
// loadTrainingData()
//
int EigenFace::loadTrainingData()
{
  LOGD("load from %s", mTrainingDataFile);
	CvFileStorage * fileStorage;
	int i;
  
	// create a file-storage interface
	fileStorage = cvOpenFileStorage( mTrainingDataFile, 0, CV_STORAGE_READ );
	if( !fileStorage )
	{
		LOGE("Can't open facedata.xml\n");
		return 0;
	}
  
	nEigens = cvReadIntByName(fileStorage, 0, "nEigens", 0);
	nTrainFaces = cvReadIntByName(fileStorage, 0, "nTrainFaces", 0);
	trainPersonNumMat = (CvMat *)cvReadByName(fileStorage, 0, "trainPersonNumMat", 0);
	eigenValMat  = (CvMat *)cvReadByName(fileStorage, 0, "eigenValMat", 0);
	projectedTrainFaceMat = (CvMat *)cvReadByName(fileStorage, 0, "projectedTrainFaceMat", 0);
	pAvgTrainImg = (IplImage *)cvReadByName(fileStorage, 0, "avgTrainImg", 0);
	eigenVectArr = (IplImage **)cvAlloc(nTrainFaces*sizeof(IplImage *));
	for(i=0; i<nEigens; i++)
	{
		char varname[200];
		sprintf( varname, "eigenVect_%d", i );
		eigenVectArr[i] = (IplImage *)cvReadByName(fileStorage, 0, varname, 0);
	}
  
	// release the file-storage interface
	cvReleaseFileStorage( &fileStorage );
  
	return 1;
}
开发者ID:moscoper，项目名称:pf-android-robot，代码行数:36，代码来源:EigenFace.cpp


示例13: SaveFeature

void SaveFeature(
		FEATURE* 	feature,
		char* 		fileName){
	CvFileStorage* fs = cvOpenFileStorage( fileName, 0, CV_STORAGE_WRITE, NULL);
	if (fs==NULL){
		fprintf(stderr, "can't open feature file\n");
		return;
	}
	cvWriteInt(fs, "radius", feature->radius);
	cvWriteInt(fs, "neighbors", feature->neighbors);
	cvWriteInt(fs, "grid_x", feature->grid_x);
	cvWriteInt(fs, "grid_y", feature->grid_y);
	cvWriteInt(fs, "num_faces", feature->num_faces);

	char faceid[1024];
	char id[1024];

	for (int i=0; i<feature->num_faces; i++){
		strcpy(faceid, "face-");
		sprintf(id, "%d", i);
		strcat(faceid, id);
		cvWrite( fs, faceid, feature->histogram[i], cvAttrList(0,0) );
	}
	if (HUELBP_ON){
		for (int i=0; i<feature->num_faces; i++){
			strcpy(faceid, "hue-face-");
			sprintf(id, "%d", i);
			strcat(faceid, id);
			cvWrite( fs, faceid, feature->hue_histogram[i], cvAttrList(0,0) );
		}
	}
	cvReleaseFileStorage( &fs );
}
开发者ID:namwkim，项目名称:FaceSearch，代码行数:33，代码来源:face-search.c


示例14: cvOpenFileStorage

void EntropyOfEntropyArea::loadConfig(){
	CvFileStorage* fs1 = cvOpenFileStorage("./Config/ImageResize.xml", 0, CV_STORAGE_READ);
	CvFileStorage* fs2 = cvOpenFileStorage("./Config/EntropyOfEntropyArea.xml", 0, CV_STORAGE_READ);

	entropyAreaSize = cvReadIntByName(fs1, 0, "entropyAreaSize", 3);
	monitorAreaSize = cvReadIntByName(fs1, 0, "monitorAreaSize", 3);

	windowWidth = cvReadIntByName(fs2, 0, "windowWidth", 5);
	grayLevel = cvReadIntByName(fs2, 0, "grayLevel", 6);
	C0 = cvReadRealByName(fs2, 0, "C0", 0.05);
	learningRate = cvReadRealByName(fs2, 0, "learningRate", 0.7);
	deltaENToOldENRatioEntropy = cvReadRealByName(fs2, 0, "deltaENToOldENRatioEntropy", 0.1);
	staticRatioEntropy = cvReadRealByName(fs2, 0, "staticRatioEntropy", 0.7);

	cvReleaseFileStorage(&fs1);
	cvReleaseFileStorage(&fs2);
}
开发者ID:3ClassMrWang，项目名称:BSASD，代码行数:17，代码来源:EntropyOfEntropyArea.cpp


示例15: cvOpenFileStorage

void LbpMrf::loadConfig()
{
  CvFileStorage* fs = cvOpenFileStorage("./config/LbpMrf.xml", 0, CV_STORAGE_READ);

  showOutput = cvReadIntByName(fs, 0, "showOutput", true);

  cvReleaseFileStorage(&fs);
}
开发者ID:2php，项目名称:ShadowDetection，代码行数:8，代码来源:LbpMrf.cpp


示例16: cvOpenFileStorage

void IndependentMultimodalBGS::saveConfig()
{
    CvFileStorage* fs = cvOpenFileStorage("./config/IndependentMultimodalBGS.xml", 0, CV_STORAGE_WRITE);

    cvWriteInt(fs, "showOutput", showOutput);

    cvReleaseFileStorage(&fs);
}
开发者ID:EkanshGupta，项目名称:bgslibrary，代码行数:8，代码来源:IndependentMultimodalBGS.cpp


示例17: cvOpenFileStorage

  void FrameProcessor::saveConfig()
  {
    CvFileStorage* fs = cvOpenFileStorage("./config/FrameProcessor.xml", 0, CV_STORAGE_WRITE);

    cvWriteString(fs, "tictoc", tictoc.c_str());

    cvWriteInt(fs, "enablePreProcessor", enablePreProcessor);

    cvWriteInt(fs, "enableForegroundMaskAnalysis", enableForegroundMaskAnalysis);

    cvWriteInt(fs, "enableFrameDifferenceBGS", enableFrameDifferenceBGS);
    cvWriteInt(fs, "enableStaticFrameDifferenceBGS", enableStaticFrameDifferenceBGS);
    cvWriteInt(fs, "enableWeightedMovingMeanBGS", enableWeightedMovingMeanBGS);
    cvWriteInt(fs, "enableWeightedMovingVarianceBGS", enableWeightedMovingVarianceBGS);
    cvWriteInt(fs, "enableMixtureOfGaussianV1BGS", enableMixtureOfGaussianV1BGS);
    cvWriteInt(fs, "enableMixtureOfGaussianV2BGS", enableMixtureOfGaussianV2BGS);
    cvWriteInt(fs, "enableAdaptiveBackgroundLearning", enableAdaptiveBackgroundLearning);
#if CV_MAJOR_VERSION >= 2 && CV_MINOR_VERSION >= 4 && CV_SUBMINOR_VERSION >= 3
    cvWriteInt(fs, "enableGMG", enableGMG);
#endif

    cvWriteInt(fs, "enableDPAdaptiveMedianBGS", enableDPAdaptiveMedianBGS);
    cvWriteInt(fs, "enableDPGrimsonGMMBGS", enableDPGrimsonGMMBGS);
    cvWriteInt(fs, "enableDPZivkovicAGMMBGS", enableDPZivkovicAGMMBGS);
    cvWriteInt(fs, "enableDPMeanBGS", enableDPMeanBGS);
    cvWriteInt(fs, "enableDPWrenGABGS", enableDPWrenGABGS);
    cvWriteInt(fs, "enableDPPratiMediodBGS", enableDPPratiMediodBGS);
    cvWriteInt(fs, "enableDPEigenbackgroundBGS", enableDPEigenbackgroundBGS);
    cvWriteInt(fs, "enableDPTextureBGS", enableDPTextureBGS);

    cvWriteInt(fs, "enableT2FGMM_UM", enableT2FGMM_UM);
    cvWriteInt(fs, "enableT2FGMM_UV", enableT2FGMM_UV);
    cvWriteInt(fs, "enableT2FMRF_UM", enableT2FMRF_UM);
    cvWriteInt(fs, "enableT2FMRF_UV", enableT2FMRF_UV);
    cvWriteInt(fs, "enableFuzzySugenoIntegral", enableFuzzySugenoIntegral);
    cvWriteInt(fs, "enableFuzzyChoquetIntegral", enableFuzzyChoquetIntegral);

    cvWriteInt(fs, "enableLBSimpleGaussian", enableLBSimpleGaussian);
    cvWriteInt(fs, "enableLBFuzzyGaussian", enableLBFuzzyGaussian);
    cvWriteInt(fs, "enableLBMixtureOfGaussians", enableLBMixtureOfGaussians);
    cvWriteInt(fs, "enableLBAdaptiveSOM", enableLBAdaptiveSOM);
    cvWriteInt(fs, "enableLBFuzzyAdaptiveSOM", enableLBFuzzyAdaptiveSOM);

    cvWriteInt(fs, "enableLbpMrf", enableLbpMrf);

    cvWriteInt(fs, "enableMultiLayerBGS", enableMultiLayerBGS);
    //cvWriteInt(fs, "enablePBAS", enablePBAS);
    cvWriteInt(fs, "enableVuMeter", enableVuMeter);
    cvWriteInt(fs, "enableKDE", enableKDE);
    cvWriteInt(fs, "enableIMBS", enableIMBS);
    cvWriteInt(fs, "enableMultiCueBGS", enableMultiCueBGS);
    cvWriteInt(fs, "enableSigmaDeltaBGS", enableSigmaDeltaBGS);
    cvWriteInt(fs, "enableSuBSENSEBGS", enableSuBSENSEBGS);
    cvWriteInt(fs, "enableLOBSTERBGS", enableLOBSTERBGS);

    cvReleaseFileStorage(&fs);
  }
开发者ID:2php，项目名称:ShadowDetection，代码行数:57，代码来源:FrameProcessor.cpp


示例18: cvOpenFileStorage

  void ForegroundMaskAnalysis::loadConfig()
  {
    CvFileStorage* fs = cvOpenFileStorage("./config/ForegroundMaskAnalysis.xml", 0, CV_STORAGE_READ);

    stopAt = cvReadIntByName(fs, 0, "stopAt", 0);
    img_ref_path = cvReadStringByName(fs, 0, "img_ref_path", "");

    cvReleaseFileStorage(&fs);
  }
开发者ID:Chickyky，项目名称:bgslibrary，代码行数:9，代码来源:ForegroundMaskAnalysis.cpp


示例19: save_sequence

void save_sequence (const char *file, ptseq seq, int N)
{
	CvFileStorage *fs;

	fs = cvOpenFileStorage(file, NULL, CV_STORAGE_WRITE, NULL);
	cvWriteInt(fs, "N", N);
	cvWrite(fs, "seq", seq.ptr, cvAttrList(0,0));
	cvReleaseFileStorage(&fs);
}
开发者ID:ChristianFrisson，项目名称:XKin，代码行数:9，代码来源:genprotolive.c


示例20: loadTrainingData

// Open the training data from the file 'facedata.xml'.
int loadTrainingData(CvMat ** pTrainPersonNumMat)
{
    CvFileStorage * fileStorage;
    int i;
    
    // create a file-storage interface
    fileStorage = cvOpenFileStorage( facedata, 0, CV_STORAGE_READ );
    if( !fileStorage ) {
        printf("Can't open training database file 'facedata.xml'.\n");
        return 0;
    }
    
    // Load the person names. Added by Shervin.
    personNames.clear();	// Make sure it starts as empty.
    nPersons = cvReadIntByName( fileStorage, 0, "nPersons", 0 );
    if (nPersons == 0) {
        printf("No people found in the training database 'facedata.xml'.\n");
        return 0;
    }
    // Load each person's name.
    for (i=0; i<nPersons; i++) {
        string sPersonName;
        char varname[200];
        sprintf( varname, "personName_%d", (i+1) );
        sPersonName = cvReadStringByName(fileStorage, 0, varname );
        personNames.push_back( sPersonName );
    }
    
    // Load the data
    nEigens = cvReadIntByName(fileStorage, 0, "nEigens", 0);
    nTrainFaces = cvReadIntByName(fileStorage, 0, "nTrainFaces", 0);
    *pTrainPersonNumMat = (CvMat *)cvReadByName(fileStorage, 0, "trainPersonNumMat", 0);
    eigenValMat  = (CvMat *)cvReadByName(fileStorage, 0, "eigenValMat", 0);
    projectedTrainFaceMat = (CvMat *)cvReadByName(fileStorage, 0, "projectedTrainFaceMat", 0);
    pAvgTrainImg = (IplImage *)cvReadByName(fileStorage, 0, "avgTrainImg", 0);
    eigenVectArr = (IplImage **)cvAlloc(nTrainFaces*sizeof(IplImage *));
    for(i=0; i<nEigens; i++)
    {
        char varname[200];
        sprintf( varname, "eigenVect_%d", i );
        eigenVectArr[i] = (IplImage *)cvReadByName(fileStorage, 0, varname, 0);
    }
    
    // release the file-storage interface
    cvReleaseFileStorage( &fileStorage );
    
    printf("Training data loaded (%d training images of %d people):\n", nTrainFaces, nPersons);
    printf("People: ");
    if (nPersons > 0)
        printf("<%s>", personNames[0].c_str());
    for (i=1; i<nPersons; i++) {
        printf(", <%s>", personNames[i].c_str());
    }
    printf(".\n");
    
    return 1;
}
开发者ID:HVisionSensing，项目名称:DesignProjectOpenCV，代码行数:58，代码来源:FaceRec.cpp



注：本文中的cvOpenFileStorage函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

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