XML/YAML Persistence

Classes
class	cv::FileNode
	File Storage Node class. More...
class	cv::FileNodeIterator
	used to iterate through sequences and mappings. More...
class	cv::FileStorage
	XML/YAML file storage class that encapsulates all the information necessary for writing or reading data to/from a file. More...
struct	cv::FileNodeIterator::SeqReader

Enumerations
enum	{   cv::FileStorage::UNDEFINED = 0,   cv::FileStorage::VALUE_EXPECTED = 1,   cv::FileStorage::NAME_EXPECTED = 2,   cv::FileStorage::INSIDE_MAP = 4 }
enum	cv::FileStorage::Mode {   cv::FileStorage::READ = 0,   cv::FileStorage::WRITE = 1,   cv::FileStorage::APPEND = 2,   cv::FileStorage::MEMORY = 4,   cv::FileStorage::FORMAT_MASK = (7<<3),   cv::FileStorage::FORMAT_AUTO = 0,   cv::FileStorage::FORMAT_XML = (1<<3),   cv::FileStorage::FORMAT_YAML = (2<<3) }
	file storage mode More...
enum	cv::FileNode::Type {   cv::FileNode::NONE = 0,   cv::FileNode::INT = 1,   cv::FileNode::REAL = 2,   cv::FileNode::FLOAT = REAL,   cv::FileNode::STR = 3,   cv::FileNode::STRING = STR,   cv::FileNode::REF = 4,   cv::FileNode::SEQ = 5,   cv::FileNode::MAP = 6,   cv::FileNode::TYPE_MASK = 7,   cv::FileNode::FLOW = 8,   cv::FileNode::USER = 16,   cv::FileNode::EMPTY = 32,   cv::FileNode::NAMED = 64 }
	type of the file storage node More...

Detailed Description

XML/YAML file storages.

Writing to a file storage.

You can store and then restore various OpenCV data structures to/from XML (http://www.w3c.org/XML) or YAML (http://www.yaml.org) formats. Also, it is possible store and load arbitrarily complex data structures, which include OpenCV data structures, as well as primitive data types (integer and floating-point numbers and text strings) as their elements.

Use the following procedure to write something to XML or YAML:

1. Create new FileStorage and open it for writing. It can be done with a single call to FileStorage::FileStorage constructor that takes a filename, or you can use the default constructor and then call FileStorage::open. Format of the file (XML or YAML) is determined from the filename extension (".xml" and ".yml"/".yaml", respectively)
2. Write all the data you want using the streaming operator <<, just like in the case of STL streams.
3. Close the file using FileStorage::release. FileStorage destructor also closes the file.

Here is an example:

#include "opencv2/opencv.hpp"
#include <time.h>

using namespace cv;

int main(int, char** argv)
{
 FileStorage fs("test.yml", FileStorage::WRITE);

 fs << "frameCount" << 5;
 time_t rawtime; time(&rawtime);
 fs << "calibrationDate" << asctime(localtime(&rawtime));
 Mat cameraMatrix = (Mat_<double>(3,3) << 1000, 0, 320, 0, 1000, 240, 0, 0, 1);
 Mat distCoeffs = (Mat_<double>(5,1) << 0.1, 0.01, -0.001, 0, 0);
 fs << "cameraMatrix" << cameraMatrix << "distCoeffs" << distCoeffs;
 fs << "features" << "[";
 for( int i = 0; i < 3; i++ )
 {
 int x = rand() % 640;
 int y = rand() % 480;
 uchar lbp = rand() % 256;

 fs << "{:" << "x" << x << "y" << y << "lbp" << "[:";
 for( int j = 0; j < 8; j++ )
 fs << ((lbp >> j) & 1);
 fs << "]" << "}";
 }
 fs << "]";
 fs.release();
 return 0;
}

The sample above stores to XML and integer, text string (calibration date), 2 matrices, and a custom structure "feature", which includes feature coordinates and LBP (local binary pattern) value. Here is output of the sample:

%YAML:1.0
frameCount: 5
calibrationDate: "Fri Jun 17 14:09:29 2011\n"
cameraMatrix: !!opencv-matrix
 rows: 3
 cols: 3
 dt: d
 data: [ 1000., 0., 320., 0., 1000., 240., 0., 0., 1. ]
distCoeffs: !!opencv-matrix
 rows: 5
 cols: 1
 dt: d
 data: [ 1.0000000000000001e-01, 1.0000000000000000e-02,
 -1.0000000000000000e-03, 0., 0. ]
features:
 - { x:167, y:49, lbp:[ 1, 0, 0, 1, 1, 0, 1, 1 ] }
 - { x:298, y:130, lbp:[ 0, 0, 0, 1, 0, 0, 1, 1 ] }
 - { x:344, y:158, lbp:[ 1, 1, 0, 0, 0, 0, 1, 0 ] }

As an exercise, you can replace ".yml" with ".xml" in the sample above and see, how the corresponding XML file will look like.

Several things can be noted by looking at the sample code and the output:

• The produced YAML (and XML) consists of heterogeneous collections that can be nested. There are 2 types of collections: named collections (mappings) and unnamed collections (sequences). In mappings each element has a name and is accessed by name. This is similar to structures and std::map in C/C++ and dictionaries in Python. In sequences elements do not have names, they are accessed by indices. This is similar to arrays and std::vector in C/C++ and lists, tuples in Python. "Heterogeneous" means that elements of each single collection can have different types.

  Top-level collection in YAML/XML is a mapping. Each matrix is stored as a mapping, and the matrix elements are stored as a sequence. Then, there is a sequence of features, where each feature is represented a mapping, and lbp value in a nested sequence.

• When you write to a mapping (a structure), you write element name followed by its value. When you write to a sequence, you simply write the elements one by one. OpenCV data structures (such as cv::Mat) are written in absolutely the same way as simple C data structures - using << operator.
• To write a mapping, you first write the special string { to the storage, then write the elements as pairs (fs << <element_name> << <element_value>) and then write the closing }.
• To write a sequence, you first write the special string [, then write the elements, then write the closing ].
• In YAML (but not XML), mappings and sequences can be written in a compact Python-like inline form. In the sample above matrix elements, as well as each feature, including its lbp value, is stored in such inline form. To store a mapping/sequence in a compact form, put : after the opening character, e.g. use {: instead of { and [: instead of [. When the data is written to XML, those extra : are ignored.

Reading data from a file storage.

To read the previously written XML or YAML file, do the following:

1. Open the file storage using FileStorage::FileStorage constructor or FileStorage::open method. In the current implementation the whole file is parsed and the whole representation of file storage is built in memory as a hierarchy of file nodes (see FileNode)
2. Read the data you are interested in. Use FileStorage::operator [], FileNode::operator [] and/or FileNodeIterator.
3. Close the storage using FileStorage::release.

Here is how to read the file created by the code sample above:

FileStorage fs2("test.yml", FileStorage::READ);

// first method: use (type) operator on FileNode.
int frameCount = (int)fs2["frameCount"];

String date;
// second method: use FileNode::operator >>
fs2["calibrationDate"] >> date;

Mat cameraMatrix2, distCoeffs2;
fs2["cameraMatrix"] >> cameraMatrix2;
fs2["distCoeffs"] >> distCoeffs2;

cout << "frameCount: " << frameCount << endl
 << "calibration date: " << date << endl
 << "camera matrix: " << cameraMatrix2 << endl
 << "distortion coeffs: " << distCoeffs2 << endl;

FileNode features = fs2["features"];
FileNodeIterator it = features.begin(), it_end = features.end();
int idx = 0;
std::vector<uchar> lbpval;

// iterate through a sequence using FileNodeIterator
for( ; it != it_end; ++it, idx++ )
{
 cout << "feature #" << idx << ": ";
 cout << "x=" << (int)(*it)["x"] << ", y=" << (int)(*it)["y"] << ", lbp: (";
 // you can also easily read numerical arrays using FileNode >> std::vector operator.
 (*it)["lbp"] >> lbpval;
 for( int i = 0; i < (int)lbpval.size(); i++ )
 cout << " " << (int)lbpval[i];
 cout << ")" << endl;
}
fs2.release();

Format specification

([count]{u|c|w|s|i|f|d})... where the characters correspond to fundamental C++ types:

• u 8-bit unsigned number
• c 8-bit signed number
• w 16-bit unsigned number
• s 16-bit signed number
• i 32-bit signed number
• f single precision floating-point number
• d double precision floating-point number
• r pointer, 32 lower bits of which are written as a signed integer. The type can be used to store structures with links between the elements.

count is the optional counter of values of a given type. For example, 2if means that each array element is a structure of 2 integers, followed by a single-precision floating-point number. The equivalent notations of the above specification are iif, 2i1f and so forth. Other examples: u means that the array consists of bytes, and 2d means the array consists of pairs of doubles.

See also

filestorage.cpp

Enumeration Type Documentation

anonymous enum

Enumerator
UNDEFINED
VALUE_EXPECTED
NAME_EXPECTED
INSIDE_MAP

enum cv::FileStorage::Mode

file storage mode

Enumerator
READ	value, open the file for reading
WRITE	value, open the file for writing
APPEND	value, open the file for appending
MEMORY	flag, read data from source or write data to the internal buffer (which is returned by FileStorage::release)
FORMAT_MASK	mask for format flags
FORMAT_AUTO	flag, auto format
FORMAT_XML	flag, XML format
FORMAT_YAML	flag, YAML format

enum cv::FileNode::Type

type of the file storage node

Enumerator
NONE	empty node
INT	an integer
REAL	floating-point number
FLOAT	synonym or REAL
STR	text string in UTF-8 encoding
STRING	synonym for STR
REF	integer of size size_t. Typically used for storing complex dynamic structures where some elements reference the others
SEQ	sequence
MAP	mapping
TYPE_MASK
FLOW	compact representation of a sequence or mapping. Used only by YAML writer
USER	a registered object (e.g. a matrix)
EMPTY	empty structure (sequence or mapping)
NAMED	the node has a name (i.e. it is element of a mapping)