CV_CALL 236 apps/createsamples/utility.cpp CV_CALL( src_img = cvGetImage( src, &src_stub ) ); CV_CALL 237 apps/createsamples/utility.cpp CV_CALL( dst_img = cvGetImage( dst, &dst_stub ) ); CV_CALL 282 apps/createsamples/utility.cpp CV_CALL( cvGetRawData( src, &src_data, &src_step, &src_size ) ); CV_CALL 283 apps/createsamples/utility.cpp CV_CALL( cvGetRawData( dst, &dst_data, &dst_step, &dst_size ) ); CV_CALL 285 apps/createsamples/utility.cpp CV_CALL( cvGetPerspectiveTransform( src_size, quad, c ) ); CV_CALL 182 apps/traincascade/boost.cpp CV_CALL( idx = cvCreateMat( 1, idx_selected, CV_32SC1 )); CV_CALL 1050 apps/traincascade/old_ml_boost.cpp CV_CALL( storage = cvCreateMemStorage() ); CV_CALL 1113 apps/traincascade/old_ml_boost.cpp CV_CALL( result = train( values, CV_ROW_SAMPLE, response, var_idx, CV_CALL 1182 apps/traincascade/old_ml_boost.cpp CV_CALL( orig_response = cvCreateMat( 1, n, CV_32S )); CV_CALL 1183 apps/traincascade/old_ml_boost.cpp CV_CALL( weak_eval = cvCreateMat( 1, n, CV_64F )); CV_CALL 1184 apps/traincascade/old_ml_boost.cpp CV_CALL( subsample_mask = cvCreateMat( 1, n, CV_8U )); CV_CALL 1185 apps/traincascade/old_ml_boost.cpp CV_CALL( weights = cvCreateMat( 1, n, CV_64F )); CV_CALL 1186 apps/traincascade/old_ml_boost.cpp CV_CALL( subtree_weights = cvCreateMat( 1, n + 2, CV_64F )); CV_CALL 1240 apps/traincascade/old_ml_boost.cpp CV_CALL( sum_response = cvCreateMat( 1, n, CV_64F )); CV_CALL 1930 apps/traincascade/old_ml_boost.cpp CV_CALL( data->read_params(fs, fnode)); CV_CALL 2010 apps/traincascade/old_ml_boost.cpp CV_CALL( storage = cvCreateMemStorage() ); CV_CALL 2016 apps/traincascade/old_ml_boost.cpp CV_CALL(tree->read( fs, (CvFileNode*)reader.ptr, this, data )); CV_CALL 69 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( fs = cvOpenFileStorage( filename, 0, CV_STORAGE_WRITE )); CV_CALL 91 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( fs = cvOpenFileStorage( filename, 0, CV_STORAGE_READ )); CV_CALL 286 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_32FC1)); CV_CALL 295 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_64FC1)); CV_CALL 306 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(cvGetCol (data, &data_comp, i)); CV_CALL 307 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(cvMinMaxLoc (&data_comp, &minVal, &maxVal, &minLoc, &maxLoc)); CV_CALL 308 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(cvGetCol (centers, ¢ers_comp, i)); CV_CALL 309 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(cvRandArr (&rng, ¢ers_comp, CV_RAND_UNI, cvScalarAll(minVal), cvScalarAll(maxVal))); CV_CALL 458 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( idx = cvCreateMat( 1, idx_selected, CV_32SC1 )); CV_CALL 542 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( out_var_type = cvCreateMat( 1, var_count, CV_8UC1 )); CV_CALL 606 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( out_responses = cvCreateMat( 1, sample_count, CV_32FC1 )); CV_CALL 690 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( out_responses = cvCreateMat( 1, sample_count, CV_32SC1 )); CV_CALL 695 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( response_ptr = (int**)cvAlloc( sample_count*sizeof(response_ptr[0]))); CV_CALL 731 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( *out_response_map = cvCreateMat( 1, cls_count, CV_32SC1 )); CV_CALL 735 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( *class_counts = cvCreateMat( 1, cls_count, CV_32SC1 )); CV_CALL 801 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( samples = (float**)cvAlloc(sample_count*sizeof(samples[0]) + CV_CALL 936 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( cvCheckTrainData( train_data, tflag, 0, &var_all, &sample_all )); CV_CALL 939 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( _sample_idx = cvPreprocessIndexArray( sample_idx, sample_all )); CV_CALL 941 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( _var_idx = cvPreprocessIndexArray( var_idx, var_all )); CV_CALL 950 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( _responses = cvPreprocessOrderedResponses( responses, CV_CALL 955 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( _responses = cvPreprocessCategoricalResponses( responses, CV_CALL 960 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( *out_train_samples = CV_CALL 1045 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( pairs = (CvSampleResponsePair*)cvAlloc( (sample_count+1)*sizeof(pairs[0]))); CV_CALL 1104 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( d = cvGetDims( sample, sizes )); CV_CALL 1154 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( row_sample = (float*)cvAlloc( vec_size )); CV_CALL 1190 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( row_sample = (float*)cvAlloc( vec_size )); CV_CALL 1194 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( inverse_comp_idx = (int*)cvAlloc( dims_all*sizeof(int) )); CV_CALL 1390 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( icvConvertDataToSparse( labels->data.ptr, labels->step, labels->type, CV_CALL 1413 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( icvConvertDataToSparse( centers->data.ptr + i*centers->step, 0, centers->type, CV_CALL 1433 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( icvConvertDataToSparse( probs->data.ptr, probs->step, probs->type, CV_CALL 1491 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( d = cvGetDims( predict_input, sizes )); CV_CALL 1558 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( sample_idx_buffer = cvCreateMat( 1, samples_all, CV_8UC1 )); CV_CALL 1567 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( sparse_rows = (CvSparseMat**)cvAlloc( samples_selected*sizeof(sparse_rows[0]))); CV_CALL 1572 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( sparse_rows[i] = cvCreateSparseMat( 1, &dims_all, type )); CV_CALL 1634 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( response = stat_model->predict( stat_model, (CvMat*)sample, probs1 )); CV_CALL 1698 apps/traincascade/old_ml_inner_functions.cpp CV_CALL (new_data = (int**)cvAlloc (new_n * sizeof (new_data[0]))); CV_CALL 1705 apps/traincascade/old_ml_inner_functions.cpp CV_CALL (old_data = (int**)cvAlloc (old_n * sizeof (old_data[0]))); CV_CALL 1726 apps/traincascade/old_ml_inner_functions.cpp CV_CALL (*out_response_map = cvCreateMat (1, out_n, CV_32SC1)); CV_CALL 1833 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( counts = cvCreateMat( 1, nclusters + 1, CV_32SC1 ) ); CV_CALL 1834 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( cvSetZero( counts )); CV_CALL 238 apps/traincascade/old_ml_precomp.hpp CV_CALL( cvConvert( &b, &a ) ); \ CV_CALL 217 apps/traincascade/old_ml_tree.cpp CV_CALL( set_params( _params )); CV_CALL 220 apps/traincascade/old_ml_tree.cpp CV_CALL( cvCheckTrainData( _train_data, _tflag, _missing_mask, &var_all, &sample_all )); CV_CALL 246 apps/traincascade/old_ml_tree.cpp CV_CALL( sample_indices = cvPreprocessIndexArray( _sample_idx, sample_all )); CV_CALL 253 apps/traincascade/old_ml_tree.cpp CV_CALL( var_idx = cvPreprocessIndexArray( _var_idx, var_all )); CV_CALL 273 apps/traincascade/old_ml_tree.cpp CV_CALL( var_type0 = cvPreprocessVarType( _var_type, var_idx, var_count, &r_type )); CV_CALL 275 apps/traincascade/old_ml_tree.cpp CV_CALL( var_type = cvCreateMat( 1, var_count+2, CV_32SC1 )); CV_CALL 327 apps/traincascade/old_ml_tree.cpp CV_CALL( buf = cvCreateMat( effective_buf_height, effective_buf_width, CV_16UC1 )); CV_CALL 328 apps/traincascade/old_ml_tree.cpp CV_CALL( pair16u32s_ptr = (CvPair16u32s*)cvAlloc( sample_count*sizeof(pair16u32s_ptr[0]) )); CV_CALL 332 apps/traincascade/old_ml_tree.cpp CV_CALL( buf = cvCreateMat( effective_buf_height, effective_buf_width, CV_32SC1 )); CV_CALL 333 apps/traincascade/old_ml_tree.cpp CV_CALL( int_ptr = (int**)cvAlloc( sample_count*sizeof(int_ptr[0]) )); CV_CALL 338 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_count = cvCreateMat( 1, size, CV_32SC1 )); CV_CALL 339 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_ofs = cvCreateMat( 1, size, CV_32SC1 )); CV_CALL 343 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_map = cvCreateMat( 1, size, CV_32SC1 )); CV_CALL 352 apps/traincascade/old_ml_tree.cpp CV_CALL( tree_storage = cvCreateMemStorage( tree_block_size )); CV_CALL 353 apps/traincascade/old_ml_tree.cpp CV_CALL( node_heap = cvCreateSet( 0, sizeof(*node_heap), sizeof(CvDTreeNode), tree_storage )); CV_CALL 371 apps/traincascade/old_ml_tree.cpp CV_CALL( temp_storage = cvCreateMemStorage( temp_block_size )); CV_CALL 372 apps/traincascade/old_ml_tree.cpp CV_CALL( nv_heap = cvCreateSet( 0, sizeof(*nv_heap), nv_size, temp_storage )); CV_CALL 374 apps/traincascade/old_ml_tree.cpp CV_CALL( cv_heap = cvCreateSet( 0, sizeof(*cv_heap), cv_size, temp_storage )); CV_CALL 376 apps/traincascade/old_ml_tree.cpp CV_CALL( data_root = new_node( 0, sample_count, 0, 0 )); CV_CALL 498 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_map = cvCreateMat( 1, CV_CALL 643 apps/traincascade/old_ml_tree.cpp CV_CALL( split_heap = cvCreateSet( 0, sizeof(*split_heap), max_split_size, tree_storage )); CV_CALL 650 apps/traincascade/old_ml_tree.cpp CV_CALL( priors = cvCreateMat( 1, m, CV_64F )); CV_CALL 664 apps/traincascade/old_ml_tree.cpp CV_CALL( priors_mult = cvCloneMat( priors )); CV_CALL 665 apps/traincascade/old_ml_tree.cpp CV_CALL( counts = cvCreateMat( 1, m, CV_32SC1 )); CV_CALL 669 apps/traincascade/old_ml_tree.cpp CV_CALL( direction = cvCreateMat( 1, sample_count, CV_8UC1 )); CV_CALL 670 apps/traincascade/old_ml_tree.cpp CV_CALL( split_buf = cvCreateMat( 1, sample_count, CV_32SC1 )); CV_CALL 712 apps/traincascade/old_ml_tree.cpp CV_CALL( isubsample_idx = cvPreprocessIndexArray( _subsample_idx, sample_count )); CV_CALL 759 apps/traincascade/old_ml_tree.cpp CV_CALL( subsample_co = cvCreateMat( 1, sample_count*2, CV_32SC1 )); CV_CALL 917 apps/traincascade/old_ml_tree.cpp CV_CALL( subsample_idx = cvPreprocessIndexArray( _subsample_idx, sample_count )); CV_CALL 919 apps/traincascade/old_ml_tree.cpp CV_CALL( subsample_co = cvCreateMat( 1, sample_count*2, CV_32SC1 )); CV_CALL 1404 apps/traincascade/old_ml_tree.cpp CV_CALL( var_idx = (CvMat*)cvReadByName( fs, node, "var_idx" )); CV_CALL 1420 apps/traincascade/old_ml_tree.cpp CV_CALL( var_type = cvCreateMat( 1, var_count + 2, CV_32SC1 )); CV_CALL 1453 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_count = (CvMat*)cvReadByName( fs, node, "cat_count" )); CV_CALL 1454 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_map = (CvMat*)cvReadByName( fs, node, "cat_map" )); CV_CALL 1467 apps/traincascade/old_ml_tree.cpp CV_CALL( cat_ofs = cvCreateMat( 1, ccount + 1, CV_32SC1 )); CV_CALL 1490 apps/traincascade/old_ml_tree.cpp CV_CALL( tree_storage = cvCreateMemStorage( tree_block_size )); CV_CALL 1491 apps/traincascade/old_ml_tree.cpp CV_CALL( node_heap = cvCreateSet( 0, sizeof(node_heap[0]), CV_CALL 1493 apps/traincascade/old_ml_tree.cpp CV_CALL( split_heap = cvCreateSet( 0, sizeof(split_heap[0]), CV_CALL 1583 apps/traincascade/old_ml_tree.cpp CV_CALL( result = do_train(0) ); CV_CALL 1622 apps/traincascade/old_ml_tree.cpp CV_CALL( result = train( values, CV_ROW_SAMPLE, response, var_idx, CV_CALL 1641 apps/traincascade/old_ml_tree.cpp CV_CALL( result = do_train(_subsample_idx)); CV_CALL 1659 apps/traincascade/old_ml_tree.cpp CV_CALL( try_split_node(root)); CV_CALL 1667 apps/traincascade/old_ml_tree.cpp CV_CALL( prune_cv() ); CV_CALL 3396 apps/traincascade/old_ml_tree.cpp CV_CALL( ab = cvCreateMat( 1, 256, CV_64F )); CV_CALL 3407 apps/traincascade/old_ml_tree.cpp CV_CALL( temp = cvCreateMat( 1, ab->cols*3/2, CV_64F )); CV_CALL 3426 apps/traincascade/old_ml_tree.cpp CV_CALL( err_jk = cvCreateMat( cv_n, tree_count, CV_64F )); CV_CALL 4028 apps/traincascade/old_ml_tree.cpp CV_CALL( node = data->new_node( parent, 0, 0, 0 )); CV_CALL 4058 apps/traincascade/old_ml_tree.cpp CV_CALL( split = read_split( fs, (CvFileNode*)reader.ptr )); CV_CALL 4092 apps/traincascade/old_ml_tree.cpp CV_CALL( node = read_node( fs, (CvFileNode*)reader.ptr, parent != &_root ? parent : 0 )); CV_CALL 398 modules/highgui/src/window_carbon.cpp CV_CALL( image = cvGetMat( arr, &stub )); CV_CALL 909 modules/highgui/src/window_carbon.cpp CV_CALL( window = (CvWindow*)cvAlloc(sizeof(CvWindow) + len + 1)); CV_CALL 1021 modules/highgui/src/window_gtk.cpp CV_CALL( window = (CvWindow*)cvAlloc(sizeof(CvWindow) + len + 1)); CV_CALL 776 modules/highgui/src/window_w32.cpp CV_CALL( window = (CvWindow*)cvAlloc(sizeof(CvWindow) + len + 1)); CV_CALL 1117 modules/highgui/src/window_w32.cpp CV_CALL( image = cvGetMat( arr, &stub )); CV_CALL 1194 modules/highgui/src/window_w32.cpp CV_CALL( image = cvGetMat( arr, &stub ) ); CV_CALL 604 modules/imgcodecs/src/utils.cpp CV_CALL( src = cvGetMat( srcarr, &srcstub )); CV_CALL 605 modules/imgcodecs/src/utils.cpp CV_CALL( dst = cvGetMat( dstarr, &dststub )); CV_CALL 679 modules/imgcodecs/src/utils.cpp CV_CALL( cvFlip( src, dst, 0 )); CV_CALL 683 modules/imgcodecs/src/utils.cpp CV_CALL( cvCopy( src, dst )); CV_CALL 1048 modules/ml/src/gbt.cpp CV_CALL( data->read_params(fs, fnode)); CV_CALL 1182 modules/ml/src/gbt.cpp CV_CALL( storage = cvCreateMemStorage() ); CV_CALL 1188 modules/ml/src/gbt.cpp CV_CALL(tree->read( fs, (CvFileNode*)reader.ptr, data ));