Chiebot-Mirror
/
opencv_contrib
mirror of https://github.com/opencv/opencv_contrib.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

Merge pull request #480 from cbalint13:hdf

Browse Source
pull/375/head
Alexander Alekhin 9 years ago
parent 5409d5ad56 99b299a207
commit 6b1483ecdb
2 changed files with 170 additions and 41 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 61
      modules/hdf/include/opencv2/hdf/hdf5.hpp
  2. 150
      modules/hdf/src/hdf5.cpp

61
modules/hdf/include/opencv2/hdf/hdf5.hpp
Unescape View File

@ -115,14 +115,19 @@ public:
/* @overload */
CV_WRAP virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel = HDF5::H5_NONE,
const vector<int>& dims_chunks = vector<int>() ) const = 0;
String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel ) const = 0;
/* @overload */
CV_WRAP virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel, const vector<int>& dims_chunks ) const = 0;
/** @brief Create and allocate storage for two dimensional single or multi channel dataset.
@param rows declare amount of rows
@param cols declare amount of cols
@param type type to be used
@param dslabel specify the hdf5 dataset label, any existing dataset with the same label will be overwritten.
@param compresslevel specify the compression level 0-9 to be used, by default H5_NONE means none at all.
@param compresslevel specify the compression level 0-9 to be used, H5_NONE is default and means no compression.
@param dims_chunks each array member specify chunking sizes to be used for block i/o,
by default NULL means none at all.
@ -181,17 +186,24 @@ public:
Multiple datasets inside single hdf5 file is allowed.
*/
CV_WRAP virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel = HDF5::H5_NONE, const int* dims_chunks = NULL ) const = 0;
String dslabel, const int compresslevel, const int* dims_chunks ) const = 0;
/* @overload */
CV_WRAP virtual void dscreate( const vector<int>& sizes, const int type, String dslabel,
const int compresslevel = HDF5::H5_NONE, const vector<int>& dims_chunks = vector<int>() ) const = 0;
CV_WRAP virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel, const int compresslevel ) const = 0;
/* @overload */
CV_WRAP virtual void dscreate( const vector<int>& sizes, const int type,
String dslabel, const int compresslevel = HDF5::H5_NONE,
const vector<int>& dims_chunks = vector<int>() ) const = 0;
/** @brief Create and allocate storage for n-dimensional dataset, single or mutichannel type.
@param n_dims declare number of dimensions
@param sizes array containing sizes for each dimensions
@param type type to be used
@param dslabel specify the hdf5 dataset label, any existing dataset with the same label will be overwritten.
@param compresslevel specify the compression level 0-9 to be used, by default H5_NONE means none at all.
@param compresslevel specify the compression level 0-9 to be used, H5_NONE is default and means no compression.
@param dims_chunks each array member specify chunking sizes to be used for block i/o,
by default NULL means none at all.
@note If the dataset already exists an exception will be thrown. Existence of the dataset can be checked
@ -254,7 +266,7 @@ public:
@endcode
*/
CV_WRAP virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel, const int compresslevel = HDF5::H5_NONE, const int* dims_chunks = NULL ) const = 0;
String dslabel, const int compresslevel, const int* dims_chunks ) const = 0;
/** @brief Fetch dataset sizes
@param dslabel specify the hdf5 dataset label to be measured.
@ -281,9 +293,14 @@ public:
*/
CV_WRAP virtual int dsgettype( String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dswrite( InputArray Array, String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dswrite( InputArray Array, String dslabel,
const int* dims_offset ) const = 0;
/* @overload */
CV_WRAP virtual void dswrite( InputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
const vector<int>& dims_offset,
const vector<int>& dims_counts = vector<int>() ) const = 0;
/** @brief Write or overwrite a Mat object into specified dataset of hdf5 file.
@param Array specify Mat data array to be written.
@ -348,11 +365,16 @@ public:
@endcode
*/
CV_WRAP virtual void dswrite( InputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const = 0;
const int* dims_offset, const int* dims_counts ) const = 0;
/* @overload */
CV_WRAP virtual void dsinsert( InputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
CV_WRAP virtual void dsinsert( InputArray Array, String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dsinsert( InputArray Array,
String dslabel, const int* dims_offset ) const = 0;
/* @overload */
CV_WRAP virtual void dsinsert( InputArray Array,
String dslabel, const vector<int>& dims_offset,
const vector<int>& dims_counts = vector<int>() ) const = 0;
/** @brief Insert or overwrite a Mat object into specified dataset and autoexpand dataset size if **unlimited** property allows.
@param Array specify Mat data array to be written.
@ -402,12 +424,17 @@ public:
@endcode
*/
CV_WRAP virtual void dsinsert( InputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const = 0;
const int* dims_offset, const int* dims_counts ) const = 0;
/* @overload */
CV_WRAP virtual void dsread( OutputArray Array, String dslabel ) const = 0;
/* @overload */
CV_WRAP virtual void dsread( OutputArray Array,
String dslabel, const int* dims_offset ) const = 0;
/* @overload */
CV_WRAP virtual void dsread( OutputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
const vector<int>& dims_offset,
const vector<int>& dims_counts = vector<int>() ) const = 0;
/** @brief Read specific dataset from hdf5 file into Mat object.
@param Array Mat container where data reads will be returned.
@ -449,7 +476,7 @@ public:
@endcode
*/
CV_WRAP virtual void dsread( OutputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const = 0;
const int* dims_offset, const int* dims_counts ) const = 0;
/** @brief Fetch keypoint dataset size
@param kplabel specify the hdf5 dataset label to be measured.
@ -468,9 +495,9 @@ public:
/** @brief Create and allocate special storage for cv::KeyPoint dataset.
@param size declare fixed number of KeyPoints
@param kplabel specify the hdf5 dataset label, any existing dataset with the same label will be overwritten.
@param compresslevel specify the compression level 0-9 to be used, by default H5_NONE means none at all.
@param compresslevel specify the compression level 0-9 to be used, H5_NONE is default and means no compression.
@param chunks each array member specify chunking sizes to be used for block i/o,
by default H5_NONE means none at all.
H5_NONE is default and means no compression.
@note If the dataset already exists an exception will be thrown. Existence of the dataset can be checked
using hlexists().

150
modules/hdf/src/hdf5.cpp
Unescape View File

@ -75,52 +75,81 @@ public:
// get sizes of dataset
virtual vector<int> dsgetsize( String dslabel, int dims_flag = H5_GETDIMS ) const;
// get data type of dataset
/* get data type of dataset */
virtual int dsgettype( String dslabel ) const;
// overload dscreate()
virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel = H5_NONE,
const vector<int>& dims_chunks = vector<int>() ) const;
// overload dscreate() #1
virtual void dscreate( const int rows, const int cols, const int type, String dslabel ) const;
// create two dimensional single or mutichannel dataset
virtual void dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel = H5_NONE, const int* dims_chunks = NULL ) const;
// overload dscreate() #2
virtual void dscreate( const int rows, const int cols, const int type, String dslabel,
const int compresslevel ) const;
// overload dscreate()
// overload dscreate() #3
virtual void dscreate( const int rows, const int cols, const int type, String dslabel,
const int compresslevel, const vector<int>& dims_chunks ) const;
/* create two dimensional single or mutichannel dataset */
virtual void dscreate( const int rows, const int cols, const int type, String dslabel,
const int compresslevel, const int* dims_chunks ) const;
// overload dscreate() #1
virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel ) const;
// overload dscreate() #2
virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel, const int compresslevel ) const;
// overload dscreate() #3
virtual void dscreate( const vector<int>& sizes, const int type, String dslabel,
const int compresslevel = H5_NONE, const vector<int>& dims_chunks = vector<int>() ) const;
// create n-dimensional single or mutichannel dataset
/* create n-dimensional single or mutichannel dataset */
virtual void dscreate( const int n_dims, const int* sizes, const int type,
String dslabel, const int compresslevel = H5_NONE, const int* dims_chunks = NULL ) const;
String dslabel, const int compresslevel, const int* dims_chunks ) const;
// overload dswrite()
virtual void dswrite( InputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
// overload dswrite() #1
virtual void dswrite( InputArray Array, String dslabel ) const;
// overload dswrite() #2
virtual void dswrite( InputArray Array, String dslabel, const int* dims_offset ) const;
// overload dswrite() #3
virtual void dswrite( InputArray Array, String dslabel, const vector<int>& dims_offset,
const vector<int>& dims_counts = vector<int>() ) const;
// write into dataset
/* write into dataset */
virtual void dswrite( InputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const;
const int* dims_offset, const int* dims_counts ) const;
// overload dsinsert() #1
virtual void dsinsert( InputArray Array, String dslabel ) const;
// overload dsinsert()
// overload dsinsert() #2
virtual void dsinsert( InputArray Array, String dslabel, const int* dims_offset ) const;
// overload dsinsert() #3
virtual void dsinsert( InputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
const vector<int>& dims_counts = vector<int>() ) const;
const vector<int>& dims_offset, const vector<int>& dims_counts = vector<int>() ) const;
// append / merge into dataset
/* append / merge into dataset */
virtual void dsinsert( InputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const;
// overload dsread()
// overload dsread() #1
virtual void dsread( OutputArray Array, String dslabel ) const;
// overload dsread() #2
virtual void dsread( OutputArray Array, String dslabel, const int* dims_offset ) const;
// overload dsread() #3
virtual void dsread( OutputArray Array, String dslabel,
const vector<int>& dims_offset = vector<int>(),
const vector<int>& dims_counts = vector<int>() ) const;
const vector<int>& dims_offset, const vector<int>& dims_counts = vector<int>() ) const;
// read from dataset
virtual void dsread( OutputArray Array, String dslabel,
const int* dims_offset = NULL, const int* dims_counts = NULL ) const;
const int* dims_offset, const int* dims_counts ) const;
/*
* std::vector<cv::KeyPoint>
@ -351,6 +380,28 @@ int HDF5Impl::dsgettype( String dslabel ) const
return CV_MAKETYPE( cvtype, channs );
}
// overload
void HDF5Impl::dscreate( const int rows, const int cols, const int type,
String dslabel ) const
{
// dataset dims
int dsizes[2] = { rows, cols };
// create the two dim array
dscreate( 2, dsizes, type, dslabel, HDF5::H5_NONE, NULL );
}
// overload
void HDF5Impl::dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel ) const
{
// dataset dims
int dsizes[2] = { rows, cols };
// create the two dim array
dscreate( 2, dsizes, type, dslabel, compresslevel, NULL );
}
// overload
void HDF5Impl::dscreate( const int rows, const int cols, const int type,
String dslabel, const int compresslevel,
@ -370,6 +421,20 @@ void HDF5Impl::dscreate( const int rows, const int cols, const int type,
dscreate( 2, dsizes, type, dslabel, compresslevel, dims_chunks );
}
// overload
void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
String dslabel ) const
{
dscreate( n_dims, sizes, type, dslabel, H5_NONE, NULL );
}
// overload
void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
String dslabel, const int compresslevel ) const
{
dscreate( n_dims, sizes, type, dslabel, compresslevel, NULL );
}
// overload
void HDF5Impl::dscreate( const vector<int>& sizes, const int type,
String dslabel, const int compresslevel,
@ -455,6 +520,19 @@ void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
H5Sclose( dspace );
}
// overload
void HDF5Impl::dsread( OutputArray Array, String dslabel ) const
{
dsread( Array, dslabel, NULL, NULL );
}
// overload
void HDF5Impl::dsread( OutputArray Array, String dslabel,
const int* dims_offset ) const
{
dsread( Array, dslabel, dims_offset );
}
// overload
void HDF5Impl::dsread( OutputArray Array, String dslabel,
const vector<int>& dims_offset,
@ -557,6 +635,17 @@ void HDF5Impl::dsread( OutputArray Array, String dslabel,
H5Dclose( dsdata );
}
// overload
void HDF5Impl::dswrite( InputArray Array, String dslabel ) const
{
dswrite( Array, dslabel, NULL, NULL );
}
// overload
void HDF5Impl::dswrite( InputArray Array, String dslabel,
const int* dims_offset ) const
{
dswrite( Array, dslabel, dims_offset, NULL );
}
// overload
void HDF5Impl::dswrite( InputArray Array, String dslabel,
const vector<int>& dims_offset,
@ -641,6 +730,19 @@ void HDF5Impl::dswrite( InputArray Array, String dslabel,
H5Dclose( dsdata );
}
// overload
void HDF5Impl::dsinsert( InputArray Array, String dslabel ) const
{
dsinsert( Array, dslabel, NULL, NULL );
}
// overload
void HDF5Impl::dsinsert( InputArray Array, String dslabel,
const int* dims_offset ) const
{
dsinsert( Array, dslabel, dims_offset, NULL );
}
// overload
void HDF5Impl::dsinsert( InputArray Array, String dslabel,
const vector<int>& dims_offset,

Write Preview
Loading…
Cancel
Save