69     CV_CALL( fs = cvOpenFileStorage( filename, 0, CV_STORAGE_WRITE ));  in save()
91     CV_CALL( fs = cvOpenFileStorage( filename, 0, CV_STORAGE_READ ));  in load()
286             CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_32FC1));  in icvGenerateRandomClusterCenters()
295             CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_64FC1));  in icvGenerateRandomClusterCenters()
306         CV_CALL(cvGetCol (data, &data_comp, i));  in icvGenerateRandomClusterCenters()
307         CV_CALL(cvMinMaxLoc (&data_comp, &minVal, &maxVal, &minLoc, &maxLoc));  in icvGenerateRandomClusterCenters()
308         CV_CALL(cvGetCol (centers, &centers_comp, i));  in icvGenerateRandomClusterCenters()
309 …   CV_CALL(cvRandArr (&rng, &centers_comp, CV_RAND_UNI, cvScalarAll(minVal), cvScalarAll(maxVal)));  in icvGenerateRandomClusterCenters()
527     CV_CALL( idx = cvCreateMat( 1, idx_selected, CV_32SC1 ));  in cvPreprocessIndexArray()
612     CV_CALL( out_var_type = cvCreateMat( 1, var_count, CV_8UC1 ));  in cvPreprocessVarType()
676     CV_CALL( out_responses = cvCreateMat( 1, sample_count, CV_32FC1 ));  in cvPreprocessOrderedResponses()
760     CV_CALL( out_responses = cvCreateMat( 1, sample_count, CV_32SC1 ));  in cvPreprocessCategoricalResponses()
765     CV_CALL( response_ptr = (int**)cvAlloc( sample_count*sizeof(response_ptr[0])));  in cvPreprocessCategoricalResponses()
801     CV_CALL( *out_response_map = cvCreateMat( 1, cls_count, CV_32SC1 ));  in cvPreprocessCategoricalResponses()
805         CV_CALL( *class_counts = cvCreateMat( 1, cls_count, CV_32SC1 ));  in cvPreprocessCategoricalResponses()
871     CV_CALL( samples = (float**)cvAlloc(sample_count*sizeof(samples[0]) +  in cvGetTrainSamples()
1006     CV_CALL( cvCheckTrainData( train_data, tflag, 0, &var_all, &sample_all ));  in cvPrepareTrainData()
1009         CV_CALL( _sample_idx = cvPreprocessIndexArray( sample_idx, sample_all ));  in cvPrepareTrainData()
1011         CV_CALL( _var_idx = cvPreprocessIndexArray( var_idx, var_all ));  in cvPrepareTrainData()
1020             CV_CALL( _responses = cvPreprocessOrderedResponses( responses,  in cvPrepareTrainData()
1025             CV_CALL( _responses = cvPreprocessCategoricalResponses( responses,  in cvPrepareTrainData()
1030     CV_CALL( *out_train_samples =  in cvPrepareTrainData()
1115     CV_CALL( pairs = (CvSampleResponsePair*)cvAlloc( (sample_count+1)*sizeof(pairs[0])));  in cvSortSamplesByClasses()
1174     CV_CALL( d = cvGetDims( sample, sizes ));  in cvPreparePredictData()
1224             CV_CALL( row_sample = (float*)cvAlloc( vec_size ));  in cvPreparePredictData()
1264         CV_CALL( row_sample = (float*)cvAlloc( vec_size ));  in cvPreparePredictData()
1268             CV_CALL( inverse_comp_idx = (int*)cvAlloc( dims_all*sizeof(int) ));  in cvPreparePredictData()
1464         CV_CALL( icvConvertDataToSparse( labels->data.ptr, labels->step, labels->type,  in cvWritebackLabels()
1487             CV_CALL( icvConvertDataToSparse( centers->data.ptr + i*centers->step, 0, centers->type,  in cvWritebackLabels()
1507         CV_CALL( icvConvertDataToSparse( probs->data.ptr, probs->step, probs->type,  in cvWritebackLabels()
1565     CV_CALL( d = cvGetDims( predict_input, sizes ));
1632             CV_CALL( sample_idx_buffer = cvCreateMat( 1, samples_all, CV_8UC1 ));
1641         CV_CALL( sparse_rows = (CvSparseMat**)cvAlloc( samples_selected*sizeof(sparse_rows[0])));
1646             CV_CALL( sparse_rows[i] = cvCreateSparseMat( 1, &dims_all, type ));
1708         CV_CALL( response = stat_model->predict( stat_model, (CvMat*)sample, probs1 ));
1772     CV_CALL (new_data = (int**)cvAlloc (new_n * sizeof (new_data[0])));  in cvCombineResponseMaps()
1779     CV_CALL (old_data = (int**)cvAlloc (old_n * sizeof (old_data[0])));  in cvCombineResponseMaps()
1800     CV_CALL (*out_response_map = cvCreateMat (1, out_n, CV_32SC1));  in cvCombineResponseMaps()
1907     CV_CALL( counts = cvCreateMat( 1, nclusters + 1, CV_32SC1 ) );  in icvFindClusterLabels()
1908     CV_CALL( cvSetZero( counts ));  in icvFindClusterLabels()