CV_StsParseError  140 apps/traincascade/imagestorage.cpp         CV_Error_( CV_StsParseError, ("wrong file format for %s\n", _filename.c_str()) );
CV_StsParseError 2001 apps/traincascade/old_ml_boost.cpp         CV_ERROR( CV_StsParseError, "<trees> tag is missing" );
CV_StsParseError 1399 apps/traincascade/old_ml_tree.cpp                 CV_ERROR( CV_StsParseError, "priors must stored as a matrix" );
CV_StsParseError 1411 apps/traincascade/old_ml_tree.cpp             CV_ERROR( CV_StsParseError,
CV_StsParseError 1432 apps/traincascade/old_ml_tree.cpp             CV_ERROR( CV_StsParseError, "var_type must exist and be a sequence of 0's and 1's" );
CV_StsParseError 1440 apps/traincascade/old_ml_tree.cpp                 CV_ERROR( CV_StsParseError, "var_type must exist and be a sequence of 0's and 1's" );
CV_StsParseError 1462 apps/traincascade/old_ml_tree.cpp             CV_ERROR( CV_StsParseError,
CV_StsParseError 3937 apps/traincascade/old_ml_tree.cpp         CV_ERROR( CV_StsParseError, "some of the splits are not stored properly" );
CV_StsParseError 3958 apps/traincascade/old_ml_tree.cpp             CV_ERROR( CV_StsParseError,
CV_StsParseError 4026 apps/traincascade/old_ml_tree.cpp         CV_ERROR( CV_StsParseError, "some of the tree elements are not stored properly" );
CV_StsParseError 4031 apps/traincascade/old_ml_tree.cpp         CV_ERROR( CV_StsParseError, "incorrect node depth" );
CV_StsParseError 4052 apps/traincascade/old_ml_tree.cpp             CV_ERROR( CV_StsParseError, "splits tag must stored as a sequence" );
CV_StsParseError 4138 apps/traincascade/old_ml_tree.cpp         CV_ERROR( CV_StsParseError, "nodes tag is missing" );
CV_StsParseError  434 modules/core/src/command_line_parser.cpp                 throw cv::Exception(CV_StsParseError,
CV_StsParseError  454 modules/core/src/command_line_parser.cpp                 throw cv::Exception(CV_StsParseError,
CV_StsParseError  478 modules/core/src/command_line_parser.cpp         throw cv::Exception(CV_StsParseError,
CV_StsParseError  397 modules/core/src/persistence.cpp     cvError( CV_StsParseError, func_name, buf, source_file, source_line );
CV_StsParseError 3646 modules/core/src/persistence.cpp         CV_Error( CV_StsParseError, "Could not determine the matrix dimensionality" );
CV_StsParseError 3799 modules/core/src/persistence.cpp         CV_Error( CV_StsParseError, "Could not determine sparse matrix dimensionality" );
CV_StsParseError 3821 modules/core/src/persistence.cpp             CV_Error( CV_StsParseError, "Sparse matrix data is corrupted" );
CV_StsParseError 3837 modules/core/src/persistence.cpp                     CV_Error( CV_StsParseError, "Sparse matrix data is corrupted" );
CV_StsParseError 4352 modules/core/src/persistence.cpp         CV_Error( CV_StsParseError,
CV_StsParseError 4367 modules/core/src/persistence.cpp             CV_Error( CV_StsParseError, "All the sequence tree nodes should contain \"level\" field" );
CV_StsParseError  762 modules/core/src/system.cpp     case CV_StsParseError :          return "Parsing error";
CV_StsParseError 1225 modules/ml/src/ann_mlp.cpp                 CV_Error(CV_StsParseError, "Unknown training method (should be BACKPROP or RPROP)");
CV_StsParseError 1085 modules/ml/src/gbt.cpp             CV_ERROR( CV_StsParseError, "class_labels must stored as a matrix");
CV_StsParseError 1173 modules/ml/src/gbt.cpp             CV_ERROR( CV_StsParseError, "<trees_x> tag is missing" );
CV_StsParseError  388 modules/ml/src/nbayes.cpp             CV_Error( CV_StsParseError,
CV_StsParseError  397 modules/ml/src/nbayes.cpp             CV_Error( CV_StsParseError, "No or invalid \"cls_labels\" in NBayes classifier" );
CV_StsParseError 2027 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "SVM model data is invalid, check sv_count, var_* and class_count tags" );
CV_StsParseError 2096 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "Missing of invalid SVM type" );
CV_StsParseError 2100 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "SVM kernel tag is not found" );
CV_StsParseError 2112 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "Invalid SVM kernel type (or custom kernel)" );
CV_StsParseError 2152 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "SVM model data is invalid, check sv_count, var_* and class_count tags" );
CV_StsParseError 2162 modules/ml/src/svm.cpp             CV_Error( CV_StsParseError, "Array of class labels is missing or invalid" );