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https://github.com/opencv/opencv.git
synced 2024-11-30 06:10:02 +08:00
fixed a few bugs in XML/YAML input/output.
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parent
85364ac9b1
commit
5e15557155
@ -2834,29 +2834,26 @@ public:
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{
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int _fmt = DataType<_Tp>::fmt;
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char fmt[] = { (char)((_fmt>>8)+'1'), (char)_fmt, '\0' };
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fs->writeRaw( string(fmt), (uchar*)&vec[0], vec.size()*sizeof(_Tp) );
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fs->writeRaw( string(fmt), !vec.empty() ? (uchar*)&vec[0] : 0, vec.size()*sizeof(_Tp) );
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}
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FileStorage* fs;
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};
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template<typename _Tp> static inline void write( FileStorage& fs, const vector<_Tp>& vec )
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{
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VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs);
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w(vec);
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}
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template<typename _Tp> static inline FileStorage&
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operator << ( FileStorage& fs, const vector<_Tp>& vec )
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template<typename _Tp> static inline void write( FileStorage& fs, const string& name,
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const vector<_Tp>& vec )
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{
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VecWriterProxy<_Tp, DataType<_Tp>::generic_type == 0> w(&fs);
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w(vec);
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return fs;
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}
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WriteStructContext ws(fs, name, CV_NODE_SEQ+(DataType<_Tp>::fmt != 0 ? CV_NODE_FLOW : 0));
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write(fs, vec);
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}
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CV_EXPORTS_W void write( FileStorage& fs, const string& name, const Mat& value );
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CV_EXPORTS void write( FileStorage& fs, const string& name, const SparseMat& value );
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CV_EXPORTS void write( FileStorage& fs, const string& name, const vector<Mat>& value );
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template<typename _Tp> static inline FileStorage& operator << (FileStorage& fs, const _Tp& value)
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{
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@ -2894,7 +2891,7 @@ inline size_t FileNode::size() const
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{
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int t = type();
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return t == MAP ? ((CvSet*)node->data.map)->active_count :
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t == SEQ ? node->data.seq->total : node != 0;
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t == SEQ ? node->data.seq->total : (size_t)!isNone();
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}
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inline CvFileNode* FileNode::operator *() { return (CvFileNode*)node; }
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@ -2958,7 +2955,6 @@ static inline void read(const FileNode& node, string& value, const string& defau
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CV_EXPORTS_W void read(const FileNode& node, Mat& mat, const Mat& default_mat=Mat() );
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CV_EXPORTS void read(const FileNode& node, SparseMat& mat, const SparseMat& default_mat=SparseMat() );
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CV_EXPORTS void read(const FileNode& node, vector<Mat>& mat, const vector<Mat>& default_mat_vector=vector<Mat>() );
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inline FileNode::operator int() const
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{
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@ -3029,9 +3025,10 @@ read( FileNodeIterator& it, vector<_Tp>& vec, size_t maxCount=(size_t)INT_MAX )
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}
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template<typename _Tp> static inline void
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read( FileNode& node, vector<_Tp>& vec, const vector<_Tp>& default_value=vector<_Tp>() )
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read( const FileNode& node, vector<_Tp>& vec, const vector<_Tp>& default_value=vector<_Tp>() )
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{
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read( node.begin(), vec );
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FileNodeIterator it = node.begin();
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read( it, vec );
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}
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inline FileNodeIterator FileNode::begin() const
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@ -2987,9 +2987,6 @@ cvWriteRawData( CvFileStorage* fs, const void* _data, int len, const char* dt )
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CV_CHECK_OUTPUT_FILE_STORAGE( fs );
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if( !data0 )
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CV_Error( CV_StsNullPtr, "Null data pointer" );
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if( len < 0 )
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CV_Error( CV_StsOutOfRange, "Negative number of elements" );
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@ -2997,6 +2994,9 @@ cvWriteRawData( CvFileStorage* fs, const void* _data, int len, const char* dt )
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if( !len )
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return;
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if( !data0 )
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CV_Error( CV_StsNullPtr, "Null data pointer" );
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if( fmt_pair_count == 1 )
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{
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@ -5195,7 +5195,7 @@ FileNodeIterator::FileNodeIterator()
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FileNodeIterator::FileNodeIterator(const CvFileStorage* _fs,
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const CvFileNode* _node, size_t _ofs)
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{
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if( _fs && _node )
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if( _fs && _node && CV_NODE_TYPE(_node->tag) != CV_NODE_NONE )
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{
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int node_type = _node->tag & FileNode::TYPE_MASK;
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fs = _fs;
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@ -5359,12 +5359,6 @@ void write( FileStorage& fs, const string& name, const SparseMat& value )
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cvWrite( *fs, name.size() ? name.c_str() : 0, mat );
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}
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void write( FileStorage& fs, const string& name, const vector<Mat>& value )
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{
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WriteStructContext ws(fs, name, CV_NODE_SEQ);
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for( size_t i = 0; i < value.size(); i++ )
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write(fs, string(), value[i]);
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}
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WriteStructContext::WriteStructContext(FileStorage& _fs, const string& name,
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int flags, const string& typeName) : fs(&_fs)
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@ -5412,24 +5406,6 @@ void read( const FileNode& node, SparseMat& mat, const SparseMat& default_mat )
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CV_Assert(CV_IS_SPARSE_MAT(m));
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SparseMat(m).copyTo(mat);
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}
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void read( const FileNode& node, vector<Mat>& mat_vector, const vector<Mat>& default_mat_vector )
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{
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if( node.empty() )
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{
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mat_vector = default_mat_vector;
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return;
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}
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FileNodeIterator it = node.begin(), it_end = node.end();
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mat_vector.clear();
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for( ; it != it_end; ++it )
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{
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Mat m;
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*it >> m;
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mat_vector.push_back(m);
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}
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}
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}
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@ -377,6 +377,50 @@ protected:
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TEST(Core_InputOutput, write_read_consistency) { Core_IOTest test; test.safe_run(); }
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class CV_MiscIOTest : public cvtest::BaseTest
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{
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public:
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CV_MiscIOTest() {}
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~CV_MiscIOTest() {}
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protected:
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void run(int)
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{
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//try
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{
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FileStorage fs("test.xml", FileStorage::WRITE);
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vector<int> mi, mi2, mi3, mi4;
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vector<Mat> mv, mv2, mv3, mv4;
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Mat m(10, 9, CV_32F);
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randu(m, 0, 1);
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mi3.push_back(5);
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mv3.push_back(m);
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fs << "mi" << mi;
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fs << "mv" << mv;
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fs << "mi3" << mi3;
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fs << "mv3" << mv3;
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fs.release();
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fs.open("test.xml", FileStorage::READ);
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fs["mi"] >> mi2;
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fs["mv"] >> mv2;
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fs["mi3"] >> mi4;
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fs["mv3"] >> mv4;
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CV_Assert( mi2.empty() );
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CV_Assert( mv2.empty() );
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CV_Assert( norm(mi3, mi4, CV_C) == 0 );
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CV_Assert( mv4.size() == 1 );
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double n = norm(mv3[0], mv4[0], CV_C);
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CV_Assert( n == 0 );
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}
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/*catch(...)
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{
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
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}*/
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}
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};
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TEST(Core_InputOutput, misc) { CV_MiscIOTest test; test.safe_run(); }
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/*class CV_BigMatrixIOTest : public cvtest::BaseTest
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{
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public:
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