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OpenCV持久化(一)
阅读量:7179 次
发布时间:2019-06-29

本文共 9483 字,大约阅读时间需要 31 分钟。

在OpenCV中,采用FileStorage类进行数据持久化,可以采用XML或YAML格式存储数据。

将数据写入XML或YAML文件,可采用以下步骤:

1、创建FileStorage对象。可以调用构造函数 FileStorage::FileStorage(),并传入文件名参数;或者调用默认构造函数,然后调用 FileStorage::open()。

2、利用重载输出操作符<<,在operations.hpp中,输出操作符<<为模板函数:

template
static inline FileStorage& operator << (FileStorage& fs, const _Tp& value){ if( !fs.isOpened() ) return fs; if( fs.state == FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP ) CV_Error( CV_StsError, "No element name has been given" ); write( fs, fs.elname, value ); if( fs.state & FileStorage::INSIDE_MAP ) fs.state = FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP; return fs;}

3、调用FileStorage::release(),关闭文件,并释放所有内存。

 

FileStorage在core.hpp定义如下:

class CV_EXPORTS_W FileStorage{public:    //! file storage mode    enum    {        READ=0, //! read mode        WRITE=1, //! write mode        APPEND=2, //! append mode        MEMORY=4,        FORMAT_MASK=(7<<3),        FORMAT_AUTO=0,        FORMAT_XML=(1<<3),        FORMAT_YAML=(2<<3)    };    enum    {        UNDEFINED=0,        VALUE_EXPECTED=1,        NAME_EXPECTED=2,        INSIDE_MAP=4    };    //! the default constructor    CV_WRAP FileStorage();    //! the full constructor that opens file storage for reading or writing    CV_WRAP FileStorage(const string& source, int flags, const string& encoding=string());    //! the constructor that takes pointer to the C FileStorage structure    FileStorage(CvFileStorage* fs);    //! the destructor. calls release()    virtual ~FileStorage();    //! opens file storage for reading or writing. The previous storage is closed with release()    CV_WRAP virtual bool open(const string& filename, int flags, const string& encoding=string());    //! returns true if the object is associated with currently opened file.    CV_WRAP virtual bool isOpened() const;    //! closes the file and releases all the memory buffers    CV_WRAP virtual void release();    //! closes the file, releases all the memory buffers and returns the text string    CV_WRAP string releaseAndGetString();    //! returns the first element of the top-level mapping    CV_WRAP FileNode getFirstTopLevelNode() const;    //! returns the top-level mapping. YAML supports multiple streams    CV_WRAP FileNode root(int streamidx=0) const;    //! returns the specified element of the top-level mapping    FileNode operator[](const string& nodename) const;    //! returns the specified element of the top-level mapping    CV_WRAP FileNode operator[](const char* nodename) const;    //! returns pointer to the underlying C FileStorage structure    CvFileStorage* operator *() { return fs; }    //! returns pointer to the underlying C FileStorage structure    const CvFileStorage* operator *() const { return fs; }    //! writes one or more numbers of the specified format to the currently written structure    void writeRaw( const string& fmt, const uchar* vec, size_t len );    //! writes the registered C structure (CvMat, CvMatND, CvSeq). See cvWrite()    void writeObj( const string& name, const void* obj );    //! returns the normalized object name for the specified file name    static string getDefaultObjectName(const string& filename);    Ptr
fs; //!< the underlying C FileStorage structure string elname; //!< the currently written element vector
structs; //!< the stack of written structures int state; //!< the writer state};

从XML或YAML文件中读取数据,可采用以下步骤:

1、利用构造函数 FileStorage::FileStorage()或方法 FileStorage::open()打开文件,这个过程包含解析文件,并将文件节点和数据存入内存中。

2、读取节点数据。利用下标操作符 FileStorage::operator []()FileNode::operator []()或 FileNodeIterator。

3、调用 FileStorage::release() 关闭文件。

OpenCV利用 FileNode 存储XML或YAML文件中的每个节点,并用于读写。FileNode在 core.hpp 文件中定义如下:

class CV_EXPORTS_W_SIMPLE FileNode{public:    //! type of the file storage node    enum    {        NONE=0, //!< empty node        INT=1, //!< an integer        REAL=2, //!< floating-point number        FLOAT=REAL, //!< synonym or REAL        STR=3, //!< text string in UTF-8 encoding        STRING=STR, //!< synonym for STR        REF=4, //!< integer of size size_t. Typically used for storing complex dynamic structures where some elements reference the others        SEQ=5, //!< sequence        MAP=6, //!< mapping        TYPE_MASK=7,        FLOW=8, //!< compact representation of a sequence or mapping. Used only by YAML writer        USER=16, //!< a registered object (e.g. a matrix)        EMPTY=32, //!< empty structure (sequence or mapping)        NAMED=64 //!< the node has a name (i.e. it is element of a mapping)    };    //! the default constructor    CV_WRAP FileNode();    //! the full constructor wrapping CvFileNode structure.    FileNode(const CvFileStorage* fs, const CvFileNode* node);    //! the copy constructor    FileNode(const FileNode& node);    //! returns element of a mapping node    FileNode operator[](const string& nodename) const;    //! returns element of a mapping node    CV_WRAP FileNode operator[](const char* nodename) const;    //! returns element of a sequence node    CV_WRAP FileNode operator[](int i) const;    //! returns type of the node    CV_WRAP int type() const;    //! returns true if the node is empty    CV_WRAP bool empty() const;    //! returns true if the node is a "none" object    CV_WRAP bool isNone() const;    //! returns true if the node is a sequence    CV_WRAP bool isSeq() const;    //! returns true if the node is a mapping    CV_WRAP bool isMap() const;    //! returns true if the node is an integer    CV_WRAP bool isInt() const;    //! returns true if the node is a floating-point number    CV_WRAP bool isReal() const;    //! returns true if the node is a text string    CV_WRAP bool isString() const;    //! returns true if the node has a name    CV_WRAP bool isNamed() const;    //! returns the node name or an empty string if the node is nameless    CV_WRAP string name() const;    //! returns the number of elements in the node, if it is a sequence or mapping, or 1 otherwise.    CV_WRAP size_t size() const;    //! returns the node content as an integer. If the node stores floating-point number, it is rounded.    operator int() const;    //! returns the node content as float    operator float() const;    //! returns the node content as double    operator double() const;    //! returns the node content as text string    operator string() const;    //! returns pointer to the underlying file node    CvFileNode* operator *();    //! returns pointer to the underlying file node    const CvFileNode* operator* () const;    //! returns iterator pointing to the first node element    FileNodeIterator begin() const;    //! returns iterator pointing to the element following the last node element    FileNodeIterator end() const;    //! reads node elements to the buffer with the specified format    void readRaw( const string& fmt, uchar* vec, size_t len ) const;    //! reads the registered object and returns pointer to it    void* readObj() const;    // do not use wrapper pointer classes for better efficiency    const CvFileStorage* fs;    const CvFileNode* node;};

写XML、YAML文件时主要注意的几点:

1、XML和YAML可以嵌套的两种集合类型:映射(mappings)、序列(sequences)。映射集合类似STL中的std::map和Python中的字典,序列集合类似STL中std::vector和 Python的序列;

2、当写入映射结构的数据时,节点的值(value)紧跟着节点的键(key);当写入序列结构的数据时,一个一个写入即可;

3、写入映射结构数据时,格式如下:fs << "{" << element_key << element_value << "}"

4、写入序列结构数据时,格式如下:fs << "[" << element_value << …… << "]"

5、写入映射、序列嵌套的数据时,以"{:"代替"{","[:" 代替 "["。

 

示例代码如下:

#include 
#include
#include
#include
void writeYAML(){ cv::FileStorage fs("../file/test.yml", cv::FileStorage::WRITE); fs << "frameCount" << 5; time_t rawtime; time(&rawtime); fs << "calibrationDate" << asctime(localtime(&rawtime)); cv::Mat cameraMatrix = (cv::Mat_
(3,3) << 1000,0,320,0,1000,240,0,0,1); cv::Mat distCoeffs = (cv::Mat_
(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; unsigned char lbp = rand() % 256; fs << "{:" << "x" << x << "y" << y << "lbp" << "[:"; for(int j=0; j < 8; j++) fs << ((lbp >> j) & 1); fs << "]" << "}"; } fs << "]"; fs.release();}void readYAML(){ cv::FileStorage fs2("../file/test.yml",cv::FileStorage::READ); int frameCount = (int)fs2["frameCount"]; std::string date; fs2["calibrationDate"] >> date; cv::Mat cameraMatrix2, distCoeffs2; fs2["cameraMatrix"] >> cameraMatrix2; fs2["distCoeffs"] >> distCoeffs2; std::cout << "frameCount: " << frameCount << std::endl; std::cout << "calibration date: " << date << std::endl; std::cout << "camera matrix: " << cameraMatrix2 << std::endl; std::cout << "distortion coeffs: " << distCoeffs2 << std::endl; cv::FileNode features = fs2["features"]; cv::FileNodeIterator it = features.begin(), it_end = features.end(); int idx = 0; std::vector
lbpval; for(; it != it_end; ++it, idx++) { std::cout << "features #" << idx << ": "; std::cout << "x=" << (int)(*it)["x"] << ", y=" << (int)(*it)["y"] << ", lbp: ("; (*it)["lbp"] >> lbpval; for(int i = 0; i < (int)lbpval.size(); i++) std::cout << " " << (int)lbpval[i]; std::cout << ")" << std::endl; } fs2.release();}int main(int argc, char *argv[]){// QCoreApplication a(argc, argv);// return a.exec();// writeYAML(); readYAML(); return 0;}

写入的YAML文件如下:

读取YAML文件输出如下:

 

转载于:https://www.cnblogs.com/liu-jun/p/3493063.html

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