hdf5.cpp 41.3 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
/*********************************************************************
 * Software License Agreement (BSD License)
 *
 * Copyright (c) 2015
 * Balint Cristian <cristian dot balint at gmail dot com>
 *
 *  Redistribution and use in source and binary forms, with or without
 *  modification, are permitted provided that the following conditions
 *  are met:
 *
 *   * Redistributions of source code must retain the above copyright
 *     notice, this list of conditions and the following disclaimer.
 *   * Redistributions in binary form must reproduce the above
 *     copyright notice, this list of conditions and the following
 *     disclaimer in the documentation and/or other materials provided
 *     with the distribution.
 *   * Neither the name of the copyright holders nor the names of its
 *     contributors may be used to endorse or promote products derived
 *     from this software without specific prior written permission.
 *
 *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 *  "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 *  LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
 *  FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
 *  COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
 *  INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
 *  BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 *  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 *  CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
 *  LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
 *  ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 *  POSSIBILITY OF SUCH DAMAGE.
 *********************************************************************/

#include "precomp.hpp"

37
#include <hdf5.h>
38 39 40 41 42 43 44 45

using namespace std;

namespace cv
{
namespace hdf
{

46
class HDF5Impl CV_FINAL : public HDF5
47 48 49
{
public:

50
    HDF5Impl( const String& HDF5Filename );
51

52
    virtual ~HDF5Impl() CV_OVERRIDE { close(); };
53 54

    // close and release
55
    virtual void close( ) CV_OVERRIDE;
56 57 58 59 60 61

    /*
     * h5 generic
     */

    // check if object / link exists
62
    virtual bool hlexists( const String& label ) const CV_OVERRIDE;
63

64 65
    virtual bool atexists(const String& atlabel) const CV_OVERRIDE;
    virtual void atdelete(const String& atlabel) CV_OVERRIDE;
66

67 68
    virtual void atwrite(const int value, const String& atlabel) CV_OVERRIDE;
    virtual void atread(int* value, const String& atlabel) CV_OVERRIDE;
69

70 71
    virtual void atwrite(const double value, const String& atlabel) CV_OVERRIDE;
    virtual void atread(double* value, const String& atlabel) CV_OVERRIDE;
72

73 74
    virtual void atwrite(const String& value, const String& atlabel) CV_OVERRIDE;
    virtual void atread(String* value, const String& atlabel) CV_OVERRIDE;
75

76 77
    virtual void atwrite(InputArray value, const String& atlabel) CV_OVERRIDE;
    virtual void atread(OutputArray value, const String& atlabel) CV_OVERRIDE;
78

79 80 81 82 83
    /*
     * h5 group
     */

    // create a group
84
    virtual void grcreate( const String& grlabel ) CV_OVERRIDE;
85 86 87 88 89 90

    /*
     *  cv::Mat
     */

    // get sizes of dataset
91
    virtual vector<int> dsgetsize( const String& dslabel, int dims_flag = H5_GETDIMS ) const CV_OVERRIDE;
92

93
    /* get data type of dataset */
94
    virtual int dsgettype( const String& dslabel ) const CV_OVERRIDE;
95

96
    // overload dscreate() #1
97
    virtual void dscreate( const int rows, const int cols, const int type, const String& dslabel ) const CV_OVERRIDE;
98

99
    // overload dscreate() #2
100
    virtual void dscreate( const int rows, const int cols, const int type, const String& dslabel,
101
             const int compresslevel ) const CV_OVERRIDE;
102

103
    // overload dscreate() #3
104
    virtual void dscreate( const int rows, const int cols, const int type, const String& dslabel,
105
             const int compresslevel, const vector<int>& dims_chunks ) const CV_OVERRIDE;
106 107

    /* create two dimensional single or mutichannel dataset */
108
    virtual void dscreate( const int rows, const int cols, const int type, const String& dslabel,
109
             const int compresslevel, const int* dims_chunks ) const CV_OVERRIDE;
110 111 112

    // overload dscreate() #1
    virtual void dscreate( const int n_dims, const int* sizes, const int type,
113
             const String& dslabel ) const CV_OVERRIDE;
114 115 116

    // overload dscreate() #2
    virtual void dscreate( const int n_dims, const int* sizes, const int type,
117
             const String& dslabel, const int compresslevel ) const CV_OVERRIDE;
118 119

    // overload dscreate() #3
120
    virtual void dscreate( const vector<int>& sizes, const int type, const String& dslabel,
121
             const int compresslevel = H5_NONE, const vector<int>& dims_chunks = vector<int>() ) const CV_OVERRIDE;
122

123
    /* create n-dimensional single or mutichannel dataset */
124
    virtual void dscreate( const int n_dims, const int* sizes, const int type,
125
             const String& dslabel, const int compresslevel, const int* dims_chunks ) const CV_OVERRIDE;
126

127
    // overload dswrite() #1
128
    virtual void dswrite( InputArray Array, const String& dslabel ) const CV_OVERRIDE;
129 130

    // overload dswrite() #2
131
    virtual void dswrite( InputArray Array, const String& dslabel, const int* dims_offset ) const CV_OVERRIDE;
132 133

    // overload dswrite() #3
134
    virtual void dswrite( InputArray Array, const String& dslabel, const vector<int>& dims_offset,
135
             const vector<int>& dims_counts = vector<int>() ) const CV_OVERRIDE;
136

137
    /* write into dataset */
138
    virtual void dswrite( InputArray Array, const String& dslabel,
139
             const int* dims_offset, const int* dims_counts ) const CV_OVERRIDE;
140 141

    // overload dsinsert() #1
142
    virtual void dsinsert( InputArray Array, const String& dslabel ) const CV_OVERRIDE;
143

144
    // overload dsinsert() #2
145
    virtual void dsinsert( InputArray Array, const String& dslabel, const int* dims_offset ) const CV_OVERRIDE;
146 147

    // overload dsinsert() #3
148
    virtual void dsinsert( InputArray Array, const String& dslabel,
149
             const vector<int>& dims_offset, const vector<int>& dims_counts = vector<int>() ) const CV_OVERRIDE;
150

151
    /* append / merge into dataset */
152
    virtual void dsinsert( InputArray Array, const String& dslabel,
153
             const int* dims_offset = NULL, const int* dims_counts = NULL ) const CV_OVERRIDE;
154

155
    // overload dsread() #1
156
    virtual void dsread( OutputArray Array, const String& dslabel ) const CV_OVERRIDE;
157 158

    // overload dsread() #2
159
    virtual void dsread( OutputArray Array, const String& dslabel, const int* dims_offset ) const CV_OVERRIDE;
160 161

    // overload dsread() #3
162
    virtual void dsread( OutputArray Array, const String& dslabel,
163
             const vector<int>& dims_offset, const vector<int>& dims_counts = vector<int>() ) const CV_OVERRIDE;
164 165

    // read from dataset
166
    virtual void dsread( OutputArray Array, const String& dslabel,
167
             const int* dims_offset, const int* dims_counts ) const CV_OVERRIDE;
168 169 170 171 172 173

    /*
     *  std::vector<cv::KeyPoint>
     */

    // get size of keypoints dataset
174
    virtual int kpgetsize( const String& kplabel, int dims_flag = H5_GETDIMS ) const CV_OVERRIDE;
175 176

    // create KeyPoint structure
177
    virtual void kpcreate( const int size, const String& kplabel,
178
             const int compresslevel = H5_NONE, const int chunks = H5_NONE ) const CV_OVERRIDE;
179 180

    // write KeyPoint structures
181
    virtual void kpwrite( const vector<KeyPoint> keypoints, const String& kplabel,
182
             const int offset = H5_NONE, const int counts = H5_NONE ) const CV_OVERRIDE;
183 184

    // append / merge KeyPoint structures
185
    virtual void kpinsert( const vector<KeyPoint> keypoints, const String& kplabel,
186
             const int offset = H5_NONE, const int counts = H5_NONE ) const CV_OVERRIDE;
187 188

    // read KeyPoint structure
189
    virtual void kpread( vector<KeyPoint>& keypoints, const String& kplabel,
190
             const int offset = H5_NONE, const int counts = H5_NONE ) const CV_OVERRIDE;
191 192 193

private:

194
    //! store filename
195 196
    String m_hdf5_filename;

197
    //! hdf5 file handler
198 199
    hid_t m_h5_file_id;

200
    //! translate cvType -> h5Type
201 202
    inline hid_t GetH5type( int cvType ) const;

203
    //! translate h5Type -> cvType
204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235
    inline int GetCVtype( hid_t h5Type ) const;

};

inline hid_t HDF5Impl::GetH5type( int cvType ) const
{
    hid_t h5Type = -1;

    switch ( CV_MAT_DEPTH( cvType ) )
    {
      case CV_64F:
        h5Type = H5T_NATIVE_DOUBLE;
        break;
      case CV_32F:
        h5Type = H5T_NATIVE_FLOAT;
        break;
      case CV_8U:
        h5Type = H5T_NATIVE_UCHAR;
        break;
      case CV_8S:
        h5Type = H5T_NATIVE_CHAR;
        break;
      case CV_16U:
        h5Type = H5T_NATIVE_USHORT;
        break;
      case CV_16S:
        h5Type = H5T_NATIVE_SHORT;
        break;
      case CV_32S:
        h5Type = H5T_NATIVE_INT;
        break;
      default:
236
        CV_Error_(Error::StsInternal, ("Unknown cvType: %d.", cvType));
237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259
    }
    return h5Type;
}

inline int HDF5Impl::GetCVtype( hid_t h5Type ) const
{
    int cvType = -1;

    if      ( H5Tequal( h5Type, H5T_NATIVE_DOUBLE ) )
      cvType = CV_64F;
    else if ( H5Tequal( h5Type, H5T_NATIVE_FLOAT  ) )
      cvType = CV_32F;
    else if ( H5Tequal( h5Type, H5T_NATIVE_UCHAR  ) )
      cvType = CV_8U;
    else if ( H5Tequal( h5Type, H5T_NATIVE_CHAR   ) )
      cvType = CV_8S;
    else if ( H5Tequal( h5Type, H5T_NATIVE_USHORT ) )
      cvType = CV_16U;
    else if ( H5Tequal( h5Type, H5T_NATIVE_SHORT  ) )
      cvType = CV_16S;
    else if ( H5Tequal( h5Type, H5T_NATIVE_INT    ) )
      cvType = CV_32S;
    else
260
      CV_Error_(Error::StsInternal, ("Unknown H5Type: %lld.", (long long)h5Type));
261 262 263 264

    return cvType;
}

265
HDF5Impl::HDF5Impl( const String& _hdf5_filename )
266 267 268 269 270 271 272 273 274 275 276 277
                  : m_hdf5_filename( _hdf5_filename )
{
    // save old
    // error handler
    void *errdata;
    H5E_auto2_t errfunc;
    hid_t stackid = H5E_DEFAULT;
    H5Eget_auto( stackid, &errfunc, &errdata );

    // turn off error handling
    H5Eset_auto( stackid, NULL, NULL );

278
    // check HDF5 file presence (err suppressed)
279 280 281 282 283
    htri_t check = H5Fis_hdf5( m_hdf5_filename.c_str() );

    // restore previous error handler
    H5Eset_auto( stackid, errfunc, errdata );

284
    if ( check == 1 || check == 0 )
285 286 287
      // open the HDF5 file
      m_h5_file_id = H5Fopen( m_hdf5_filename.c_str(),
                            H5F_ACC_RDWR, H5P_DEFAULT );
288 289
    else if ( check == -1 )
      // file does not exist
290 291
      m_h5_file_id = H5Fcreate( m_hdf5_filename.c_str(),
                     H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT );
292 293
    else
      CV_Error( Error::StsInternal, "Unknown file state." );
294 295 296 297 298 299 300 301 302 303 304 305 306 307
}

void HDF5Impl::close()
{
    if ( m_h5_file_id != -1 )
      H5Fclose( m_h5_file_id );
    // mark closed
    m_h5_file_id = -1;
}

/*
 * h5 generic
 */

308
bool HDF5Impl::hlexists( const String& label ) const
309 310 311 312 313 314 315 316 317 318 319
{
    bool exists = false;

    hid_t lid = H5Pcreate( H5P_LINK_ACCESS );
    if ( H5Lexists(m_h5_file_id, label.c_str(), lid) == 1 )
      exists = true;

    H5Pclose(lid);
    return exists;
}

320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443
bool HDF5Impl::atexists(const String& atlabel) const
{
    bool res = false;

    // save old error handler
    void *errdata;
    H5E_auto2_t errfunc;
    hid_t stackid = H5E_DEFAULT;
    H5Eget_auto(stackid, &errfunc, &errdata);

    // turn off error handling
    H5Eset_auto(stackid, NULL, NULL);

    hid_t attr = H5Aopen_name(m_h5_file_id, atlabel.c_str());
    if (attr >= 0)
    {
        res = true;
        H5Aclose(attr);
    }

    // restore previous error handler
    H5Eset_auto(stackid, errfunc, errdata);

    return res;
}

void HDF5Impl::atdelete(const String& atlabel)
{
    if (!atexists(atlabel))
        CV_Error_(Error::StsInternal,("The attribute '%s' does not exist!", atlabel.c_str()));

    H5Adelete(m_h5_file_id, atlabel.c_str());
}

void HDF5Impl::atwrite(const int value, const String& atlabel)
{
    if (atexists(atlabel))
        CV_Error_(Error::StsInternal,("The attribute '%s' already exists!", atlabel.c_str()));

    hid_t aid = H5Screate(H5S_SCALAR);;
    hid_t attr = H5Acreate2(m_h5_file_id, atlabel.c_str(), H5T_NATIVE_INT, aid,
                            H5P_DEFAULT, H5P_DEFAULT);
    H5Awrite(attr, H5T_NATIVE_INT, &value);

    H5Sclose(aid);
    H5Aclose(attr);
}

void HDF5Impl::atread(int* value, const String& atlabel)
{
    if (!value)
        CV_Error(Error::StsBadArg, "NULL pointer");

    if (!atexists(atlabel))
        CV_Error_(Error::StsInternal, ("Attribute '%s' does not exist!", atlabel.c_str()));

    hid_t attr = H5Aopen(m_h5_file_id, atlabel.c_str(), H5P_DEFAULT);
    H5Aread(attr, H5T_NATIVE_INT, value);
    H5Aclose(attr);
}

void HDF5Impl::atwrite(const double value, const String& atlabel)
{
    if (atexists(atlabel))
        CV_Error_(Error::StsInternal,("The attribute '%s' already exists!", atlabel.c_str()));

    hid_t aid = H5Screate(H5S_SCALAR);;
    hid_t attr = H5Acreate2(m_h5_file_id, atlabel.c_str(), H5T_NATIVE_DOUBLE, aid,
                            H5P_DEFAULT, H5P_DEFAULT);
    H5Awrite(attr, H5T_NATIVE_DOUBLE, &value);

    H5Sclose(aid);
    H5Aclose(attr);
}

void HDF5Impl::atread(double* value, const String& atlabel)
{
    if (!value)
        CV_Error(Error::StsBadArg, "NULL pointer");

    if (!atexists(atlabel))
        CV_Error_(Error::StsInternal, ("Attribute '%s' does not exist!", atlabel.c_str()));

    hid_t attr = H5Aopen(m_h5_file_id, atlabel.c_str(), H5P_DEFAULT);
    H5Aread(attr, H5T_NATIVE_DOUBLE, value);
    H5Aclose(attr);
}

void HDF5Impl::atwrite(const String& value, const String& atlabel)
{
    if (atexists(atlabel))
        CV_Error_(Error::StsInternal,("The attribute '%s' already exists!", atlabel.c_str()));

    hid_t aid = H5Screate(H5S_SCALAR);
    hid_t atype = H5Tcopy(H5T_C_S1);
    H5Tset_size(atype, value.size()+1);
    H5Tset_strpad(atype, H5T_STR_NULLTERM);

    hid_t attr = H5Acreate2(m_h5_file_id, atlabel.c_str(), atype, aid, H5P_DEFAULT, H5P_DEFAULT);
    H5Awrite(attr, atype, value.c_str());

    H5Sclose(aid);
    H5Tclose(atype);
    H5Aclose(attr);
}

void HDF5Impl::atread(String* value, const String& atlabel)
{
    if (!value)
        CV_Error(Error::StsBadArg, "NULL pointer");

    if (!atexists(atlabel))
        CV_Error_(Error::StsInternal, ("Attribute '%s' does not exist!", atlabel.c_str()));

    hid_t attr = H5Aopen(m_h5_file_id, atlabel.c_str(), H5P_DEFAULT);
    hid_t atype = H5Aget_type(attr);
    H5T_class_t type_class = H5Tget_class(atype);
    if (type_class != H5T_STRING)
    {
        H5Tclose(atype);
        H5Aclose(attr);
        CV_Error_(Error::StsInternal, ("Attribute '%s' is not of string type!", atlabel.c_str()));
    }
    size_t size = H5Tget_size(atype);
444
    AutoBuffer<char> buf(size);
445 446

    hid_t atype_mem = H5Tget_native_type(atype, H5T_DIR_ASCEND);
447 448 449 450
    H5Aread(attr, atype_mem, buf.data());
    if (size > 0 && buf[size - 1] == '\0')
        size--;
    value->assign(buf.data(), size);
451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533

    H5Tclose(atype_mem);
    H5Tclose(atype);
    H5Aclose(attr);
}

void HDF5Impl::atwrite(InputArray value, const String& atlabel)
{
    if (atexists(atlabel))
        CV_Error_(Error::StsInternal,("The attribute '%s' already exists!", atlabel.c_str()));

    Mat value_ = value.getMat();

    if (!value_.isContinuous())
        CV_Error(Error::StsInternal, "Only continuous array are implemented. Current array is not continuous!");

    int ndims = value_.dims;

    vector<hsize_t> dim_vec(ndims);
    for (int i = 0; i < ndims; i++)
        dim_vec[i] = value_.size[i];

    hid_t dtype = GetH5type(value_.type());
    if (value_.channels() > 1)
    {
        hsize_t dims[1] = { (hsize_t)value_.channels()};
        dtype = H5Tarray_create(dtype, 1, dims);
    }

    hid_t aid = H5Screate(H5S_SIMPLE);
    H5Sset_extent_simple(aid, ndims, dim_vec.data(), NULL);

    hid_t attr = H5Acreate2(m_h5_file_id, atlabel.c_str(), dtype,
                            aid, H5P_DEFAULT, H5P_DEFAULT);

    H5Awrite(attr, dtype, value_.data);

    if (value_.channels() > 1)
        H5Tclose(dtype);

    H5Sclose(aid);
    H5Aclose(attr);
}

void HDF5Impl::atread(OutputArray value, const String& atlabel)
{
    if (!atexists(atlabel))
        CV_Error_(Error::StsInternal, ("Attribute '%s' does not exist!", atlabel.c_str()));

    hid_t attr = H5Aopen(m_h5_file_id, atlabel.c_str(), H5P_DEFAULT);
    hid_t atype  = H5Aget_type(attr);
    hid_t aspace = H5Aget_space(attr);
    int rank = H5Sget_simple_extent_ndims(aspace);

    vector<hsize_t> dim_vec_(rank);
    H5Sget_simple_extent_dims(aspace, dim_vec_.data(), NULL);
    vector<int> dim_vec(dim_vec_.begin(), dim_vec_.end());

    int nchannels = 1;
    hid_t h5type;
    if (H5Tget_class(atype) == H5T_ARRAY)
    {
        hsize_t dims;
        H5Tget_array_dims(atype, &dims);
        nchannels = (int) dims;

        hid_t super_type = H5Tget_super(atype);
        h5type = H5Tget_native_type(super_type, H5T_DIR_ASCEND);
        H5Tclose(super_type);
    }
    else
        h5type = H5Tget_native_type(atype, H5T_DIR_ASCEND);

    int dtype = GetCVtype(h5type);

    value.create(rank, dim_vec.data(), CV_MAKETYPE(dtype, nchannels));
    H5Aread(attr, atype, value.getMat().data);

    H5Sclose(aspace);
    H5Tclose(atype);
    H5Aclose(attr);
}

534 535 536 537
/*
 * h5 group
 */

538
void HDF5Impl::grcreate( const String& grlabel )
539
{
540 541 542 543 544 545
    if (hlexists(grlabel))
        CV_Error_(Error::StsInternal, ("Requested group '%s' already exists.", grlabel.c_str()));

    hid_t gid = H5Gcreate(m_h5_file_id, grlabel.c_str(),
                          H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
    H5Gclose(gid);
546 547 548 549 550 551
}

/*
 * cv:Mat
 */

552
vector<int> HDF5Impl::dsgetsize( const String& dslabel, int dims_flag ) const
553 554 555 556 557 558 559 560 561 562
{
    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, dslabel.c_str(), H5P_DEFAULT );

    // get file space
    hid_t fspace = H5Dget_space( dsdata );

    // fetch rank
    int n_dims = H5Sget_simple_extent_ndims( fspace );

563
    // dims storage
564
    hsize_t *dims = new hsize_t[n_dims];
565 566 567 568

    // output storage
    vector<int> SizeVect(0);

569
    // fetch dims
570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591
    if ( dims_flag == H5_GETDIMS ||
         dims_flag == H5_GETMAXDIMS )
    {
      if ( dims_flag == H5_GETDIMS )
        H5Sget_simple_extent_dims( fspace, dims, NULL );
      else
        H5Sget_simple_extent_dims( fspace, NULL, dims );
      SizeVect.resize( n_dims );
    }
    else if ( dims_flag == H5_GETCHUNKDIMS )
    {
      // rank size
      int rank_chunk = -1;
      // fetch chunk size
      hid_t cparms = H5Dget_create_plist( dsdata );
      if ( H5D_CHUNKED == H5Pget_layout ( cparms ) )
      {
         rank_chunk = H5Pget_chunk ( cparms, n_dims, dims );
      }
      if ( rank_chunk > 0 )
        SizeVect.resize( n_dims );
    }
592
    else
593
      CV_Error_(Error::StsInternal, ("Unknown dimension flag: %d", dims_flag));
594 595

    // fill with size data
596 597
    for ( size_t d = 0; d < SizeVect.size(); d++ )
      SizeVect[d] = (int) dims[d];
598 599 600 601

    H5Dclose( dsdata );
    H5Sclose( fspace );

602
    delete [] dims;
603

604 605 606
    return SizeVect;
}

607
int HDF5Impl::dsgettype( const String& dslabel ) const
608 609 610 611 612 613 614 615 616 617 618 619 620 621 622
{
    hid_t h5type;

    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, dslabel.c_str(), H5P_DEFAULT );

    // get data type
    hid_t dstype = H5Dget_type( dsdata );

    int channs = 1;
    if ( H5Tget_class( dstype ) == H5T_ARRAY )
    {
      // fetch channs
      hsize_t ardims[1];
      H5Tget_array_dims( dstype, ardims );
623
      channs = (int)ardims[0];
624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640
      // fetch depth
      hid_t tsuper = H5Tget_super( dstype );
      h5type = H5Tget_native_type( tsuper, H5T_DIR_ASCEND );
      H5Tclose( tsuper );
    }
    else
      h5type = H5Tget_native_type( dstype, H5T_DIR_DESCEND );

    // convert to CVType
    int cvtype = GetCVtype( h5type );

    H5Tclose( dstype );
    H5Dclose( dsdata );

    return CV_MAKETYPE( cvtype, channs );
}

641 642
// overload
void HDF5Impl::dscreate( const int rows, const int cols, const int type,
643
                         const String& dslabel ) const
644 645 646 647 648 649 650 651 652 653
{
    // 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,
654
                         const String& dslabel, const int compresslevel ) const
655 656 657 658 659 660 661 662
{
    // dataset dims
    int dsizes[2] = { rows, cols };

    // create the two dim array
    dscreate( 2, dsizes, type, dslabel, compresslevel, NULL );
}

663 664
// overload
void HDF5Impl::dscreate( const int rows, const int cols, const int type,
665
                 const String& dslabel, const int compresslevel,
666 667
                 const vector<int>& dims_chunks ) const
{
668 669
    CV_Assert( dims_chunks.empty() || dims_chunks.size() == 2 );
    dscreate( rows, cols, type, dslabel, compresslevel, dims_chunks.empty() ? NULL : &(dims_chunks[0]) );
670 671 672
}

void HDF5Impl::dscreate( const int rows, const int cols, const int type,
673
                 const String& dslabel, const int compresslevel, const int* dims_chunks ) const
674 675 676 677 678 679 680 681
{
    // dataset dims
    int dsizes[2] = { rows, cols };

    // create the two dim array
    dscreate( 2, dsizes, type, dslabel, compresslevel, dims_chunks );
}

682 683
// overload
void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
684
                 const String& dslabel ) const
685 686 687 688 689 690
{
    dscreate( n_dims, sizes, type, dslabel, H5_NONE, NULL );
}

// overload
void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
691
                 const String& dslabel, const int compresslevel ) const
692 693 694 695
{
    dscreate( n_dims, sizes, type, dslabel, compresslevel, NULL );
}

696 697
// overload
void HDF5Impl::dscreate( const vector<int>& sizes, const int type,
698
                 const String& dslabel, const int compresslevel,
699 700
                 const vector<int>& dims_chunks ) const
{
701
    CV_Assert( dims_chunks.empty() || dims_chunks.size() == sizes.size() );
702 703

    const int n_dims = (int) sizes.size();
704
    dscreate( n_dims, &sizes[0], type, dslabel, compresslevel, dims_chunks.empty() ? NULL : &(dims_chunks[0]) );
705 706 707
}

void HDF5Impl::dscreate( const int n_dims, const int* sizes, const int type,
708
                 const String& dslabel, const int compresslevel, const int* dims_chunks ) const
709 710 711 712 713
{
    // compress valid H5_NONE, 0-9
    CV_Assert( compresslevel >= H5_NONE && compresslevel <= 9 );

    if ( hlexists( dslabel ) == true )
714
      CV_Error_(Error::StsInternal, ("Requested dataset '%s' already exists.", dslabel.c_str()));
715 716 717

    int channs = CV_MAT_CN( type );

718 719 720
    hsize_t *chunks = new hsize_t[n_dims];
    hsize_t *dsdims = new hsize_t[n_dims];
    hsize_t *maxdim = new hsize_t[n_dims];
721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765

    // dimension space
    for ( int d = 0; d < n_dims; d++ )
    {
      CV_Assert( sizes[d] >= H5_UNLIMITED );

      // dataset dimension
      if ( sizes[d] == H5_UNLIMITED )
      {
        CV_Assert( dims_chunks != NULL );

        dsdims[d] = 0;
        maxdim[d] = H5S_UNLIMITED;
      }
      else
      {
        dsdims[d] = sizes[d];
        maxdim[d] = sizes[d];
      }
      // default chunking
      if ( dims_chunks == NULL )
        chunks[d] = sizes[d];
      else
        chunks[d] = dims_chunks[d];
    }

    // create dataset space
    hid_t dspace = H5Screate_simple( n_dims, dsdims, maxdim );

    // create data property
    hid_t dsdcpl = H5Pcreate( H5P_DATASET_CREATE );

    // set properties
    if ( compresslevel >= 0 )
      H5Pset_deflate( dsdcpl, compresslevel );

    if ( dims_chunks != NULL || compresslevel >= 0 )
      H5Pset_chunk( dsdcpl, n_dims, chunks );

    // convert to h5 type
    hid_t dstype = GetH5type( type );

    // expand channs
    if ( channs > 1 )
    {
766
      hsize_t adims[1] = { (hsize_t)channs };
767 768 769 770
      dstype = H5Tarray_create( dstype, 1, adims );
    }

    // create data
771
    hid_t dsdata = H5Dcreate( m_h5_file_id, dslabel.c_str(), dstype,
772 773 774 775 776
               dspace, H5P_DEFAULT, dsdcpl, H5P_DEFAULT );

    if ( channs > 1 )
      H5Tclose( dstype );

777 778 779
    delete [] chunks;
    delete [] dsdims;
    delete [] maxdim;
780

781 782
    H5Pclose( dsdcpl );
    H5Sclose( dspace );
783
    H5Dclose( dsdata );
784 785
}

786
// overload
787
void HDF5Impl::dsread( OutputArray Array, const String& dslabel ) const
788 789 790 791 792
{
    dsread( Array, dslabel, NULL, NULL );
}

// overload
793
void HDF5Impl::dsread( OutputArray Array, const String& dslabel,
794 795
             const int* dims_offset ) const
{
796
    dsread( Array, dslabel, dims_offset, NULL );
797 798
}

799
// overload
800
void HDF5Impl::dsread( OutputArray Array, const String& dslabel,
801 802 803 804 805 806
             const vector<int>& dims_offset,
             const vector<int>& dims_counts ) const
{
    dsread( Array, dslabel, &dims_offset[0], &dims_counts[0] );
}

807
void HDF5Impl::dsread( OutputArray Array, const String& dslabel,
808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826
             const int* dims_offset, const int* dims_counts ) const
{
    // only Mat support
    CV_Assert( Array.isMat() );

    hid_t h5type;

    // open the HDF5 dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, dslabel.c_str(), H5P_DEFAULT );

    // get data type
    hid_t dstype = H5Dget_type( dsdata );

    int channs = 1;
    if ( H5Tget_class( dstype ) == H5T_ARRAY )
    {
      // fetch channs
      hsize_t ardims[1];
      H5Tget_array_dims( dstype, ardims );
827
      channs = (int) ardims[0];
828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843
      // fetch depth
      hid_t tsuper = H5Tget_super( dstype );
      h5type = H5Tget_native_type( tsuper, H5T_DIR_ASCEND );
      H5Tclose( tsuper );
    } else
      h5type = H5Tget_native_type( dstype, H5T_DIR_ASCEND );

    int dType = GetCVtype( h5type );

    // get file space
    hid_t fspace = H5Dget_space( dsdata );

    // fetch rank
    int n_dims = H5Sget_simple_extent_ndims( fspace );

    // fetch dims
844
    hsize_t *dsdims = new hsize_t[n_dims];
845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861
    H5Sget_simple_extent_dims( fspace, dsdims, NULL );

    // set amount by custom offset
    if ( dims_offset != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        dsdims[d] -= dims_offset[d];
    }

    // set custom amount of data
    if ( dims_counts != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        dsdims[d] = dims_counts[d];
    }

    // get memory write window
862 863
    int *mxdims = new int[n_dims];
    hsize_t *foffset = new hsize_t[n_dims];
864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894
    for ( int d = 0; d < n_dims; d++ )
    {
      foffset[d] = 0;
      mxdims[d] = (int) dsdims[d];
    }

    // allocate persistent Mat
    Array.create( n_dims, mxdims, CV_MAKETYPE(dType, channs) );

    // get blank data space
    hid_t dspace = H5Screate_simple( n_dims, dsdims, NULL );

    // get matrix write window
    H5Sselect_hyperslab( dspace, H5S_SELECT_SET,
                         foffset, NULL, dsdims, NULL );

    // set custom offsets
    if ( dims_offset != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        foffset[d] = dims_offset[d];
    }

    // get a file read window
    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         foffset, NULL, dsdims, NULL );

    // read from DS
    Mat matrix = Array.getMat();
    H5Dread( dsdata, dstype, dspace, fspace, H5P_DEFAULT, matrix.data );

895 896 897
    delete [] dsdims;
    delete [] mxdims;
    delete [] foffset;
898

899
    H5Tclose (h5type );
900 901 902 903 904 905
    H5Tclose( dstype );
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

906
// overload
907
void HDF5Impl::dswrite( InputArray Array, const String& dslabel ) const
908 909 910 911
{
    dswrite( Array, dslabel, NULL, NULL );
}
// overload
912
void HDF5Impl::dswrite( InputArray Array, const String& dslabel,
913 914 915 916
             const int* dims_offset ) const
{
    dswrite( Array, dslabel, dims_offset, NULL );
}
917
// overload
918
void HDF5Impl::dswrite( InputArray Array, const String& dslabel,
919 920 921 922 923 924
             const vector<int>& dims_offset,
             const vector<int>& dims_counts ) const
{
    dswrite( Array, dslabel, &dims_offset[0], &dims_counts[0] );
}

925
void HDF5Impl::dswrite( InputArray Array, const String& dslabel,
926 927 928 929 930 931 932 933 934 935 936 937 938
             const int* dims_offset, const int* dims_counts ) const
{
    // only Mat support
    CV_Assert( Array.isMat() );

    Mat matrix = Array.getMat();

    // memory array should be compact
    CV_Assert( matrix.isContinuous() );

    int n_dims = matrix.dims;
    int channs = matrix.channels();

939 940 941
    int *dsizes = new int[n_dims];
    hsize_t *dsdims = new hsize_t[n_dims];
    hsize_t *offset = new hsize_t[n_dims];
942 943 944 945 946 947 948 949
    // replicate Mat dimensions
    for ( int d = 0; d < n_dims; d++ )
    {
      offset[d] = 0;
      dsizes[d] = matrix.size[d];
      dsdims[d] = matrix.size[d];
    }

950 951 952
    // FixMe: If one of the groups the dataset belongs to does not exist,
    // FixMe: dscreate() will fail!
    // FixMe: It should be an error if the specified dataset has not been created instead of trying to create it
953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987
    // pre-create dataset if needed
    if ( hlexists( dslabel ) == false )
      dscreate( n_dims, dsizes, matrix.type(), dslabel );

    // set custom amount of data
    if ( dims_counts != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        dsdims[d] = dims_counts[d];
    }

    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, dslabel.c_str(), H5P_DEFAULT );

    // create input data space
    hid_t dspace = H5Screate_simple( n_dims, dsdims, NULL );

    // set custom offsets
    if ( dims_offset != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        offset[d] = dims_offset[d];
    }

    // create offset write window space
    hid_t fspace = H5Dget_space( dsdata );
    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         offset, NULL, dsdims, NULL );

    // convert type
    hid_t dstype = GetH5type( matrix.type() );

    // expand channs
    if ( matrix.channels() > 1 )
    {
988
      hsize_t adims[1] = { (hsize_t)channs };
989 990 991 992 993 994 995 996 997 998
      dstype = H5Tarray_create( dstype, 1, adims );
    }

    // write into dataset
    H5Dwrite( dsdata, dstype, dspace, fspace,
              H5P_DEFAULT, matrix.data );

    if ( matrix.channels() > 1 )
      H5Tclose( dstype );

999 1000 1001
    delete [] dsizes;
    delete [] dsdims;
    delete [] offset;
1002

1003 1004 1005 1006 1007
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

1008
// overload
1009
void HDF5Impl::dsinsert( InputArray Array, const String& dslabel ) const
1010 1011 1012 1013 1014
{
    dsinsert( Array, dslabel, NULL, NULL );
}

// overload
1015
void HDF5Impl::dsinsert( InputArray Array, const String& dslabel,
1016 1017 1018 1019 1020
             const int* dims_offset ) const
{
    dsinsert( Array, dslabel, dims_offset, NULL );
}

1021
// overload
1022
void HDF5Impl::dsinsert( InputArray Array, const String& dslabel,
1023 1024 1025 1026 1027 1028
             const vector<int>& dims_offset,
             const vector<int>& dims_counts ) const
{
    dsinsert( Array, dslabel, &dims_offset[0], &dims_counts[0] );
}

1029
void HDF5Impl::dsinsert( InputArray Array, const String& dslabel,
1030 1031 1032 1033 1034 1035 1036
             const int* dims_offset, const int* dims_counts ) const
{
    // only Mat support
    CV_Assert( Array.isMat() );

    // check dataset exists
    if ( hlexists( dslabel ) == false )
1037
      CV_Error_(Error::StsInternal, ("Dataset '%s' does not exist.", dslabel.c_str()));
1038 1039 1040 1041 1042 1043 1044 1045 1046

    Mat matrix = Array.getMat();

    // memory array should be compact
    CV_Assert( matrix.isContinuous() );

    int n_dims = matrix.dims;
    int channs = matrix.channels();

1047 1048
    hsize_t *dsdims = new hsize_t[n_dims];
    hsize_t *offset = new hsize_t[n_dims];
1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081
    // replicate Mat dimensions
    for ( int d = 0; d < n_dims; d++ )
    {
      offset[d] = 0;
      dsdims[d] = matrix.size[d];
    }

    // set custom amount of data
    if ( dims_counts != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
      {
        CV_Assert( dims_counts[d] <= matrix.size[d] );
        dsdims[d] = dims_counts[d];
      }
    }

    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, dslabel.c_str(), H5P_DEFAULT );

    // create input data space
    hid_t dspace = H5Screate_simple( n_dims, dsdims, NULL );

    // set custom offsets
    if ( dims_offset != NULL )
    {
      for ( int d = 0; d < n_dims; d++ )
        offset[d] = dims_offset[d];
    }

    // get actual file space and dims
    hid_t fspace = H5Dget_space( dsdata );
    int f_dims = H5Sget_simple_extent_ndims( fspace );
1082
    hsize_t *fsdims = new hsize_t[f_dims];
1083 1084 1085 1086 1087 1088
    H5Sget_simple_extent_dims( fspace, fsdims, NULL );
    H5Sclose( fspace );

    CV_Assert( f_dims == n_dims );

    // compute new extents
1089
    hsize_t *nwdims = new hsize_t[n_dims];
1090 1091 1092 1093 1094 1095 1096
    for ( int d = 0; d < n_dims; d++ )
    {
      // init
      nwdims[d] = 0;
      // add offset
      if ( dims_offset != NULL )
        nwdims[d] += dims_offset[d];
1097
      // add counts or matrix size
1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122
      if ( dims_counts != NULL )
        nwdims[d] += dims_counts[d];
      else
        nwdims[d] += matrix.size[d];

      // clamp back if smaller
      if ( nwdims[d] < fsdims[d] )
        nwdims[d] = fsdims[d];
    }

    // extend dataset
    H5Dextend( dsdata, nwdims );

    // get the extended data space
    fspace = H5Dget_space( dsdata );

    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         offset, NULL, dsdims, NULL );

    // convert type
    hid_t dstype = GetH5type( matrix.type() );

    // expand channs
    if ( matrix.channels() > 1 )
    {
1123
      hsize_t adims[1] = { (hsize_t)channs };
1124 1125 1126 1127 1128 1129 1130 1131 1132 1133
      dstype = H5Tarray_create( dstype, 1, adims );
    }

    // write into dataset
    H5Dwrite( dsdata, dstype, dspace, fspace,
              H5P_DEFAULT, matrix.data );

    if ( matrix.channels() > 1 )
      H5Tclose( dstype );

1134 1135 1136 1137
    delete [] dsdims;
    delete [] offset;
    delete [] fsdims;
    delete [] nwdims;
1138

1139 1140 1141 1142 1143 1144 1145 1146 1147
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

/*
 *  std::vector<cv::KeyPoint>
 */

1148
int HDF5Impl::kpgetsize( const String& kplabel, int dims_flag ) const
1149 1150 1151 1152 1153 1154 1155 1156
{
    vector<int> sizes = dsgetsize( kplabel, dims_flag );

    CV_Assert( sizes.size() == 1 );

    return sizes[0];
}

1157
void HDF5Impl::kpcreate( const int size, const String& kplabel,
1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169
             const int compresslevel, const int chunks ) const
{
    // size valid
    CV_Assert( size >= H5_UNLIMITED );

    // valid chunks
    CV_Assert( chunks == H5_NONE || chunks > 0 );

    // compress valid -1, 0-9
    CV_Assert( compresslevel >= H5_NONE && compresslevel <= 9 );

    if ( hlexists( kplabel ) == true )
1170
      CV_Error_(Error::StsInternal, ("Requested dataset '%s' already exists.", kplabel.c_str()));
1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229

    hsize_t dchunk[1];
    hsize_t dsdims[1];
    hsize_t maxdim[1];

    // dataset dimension
    if ( size == H5_UNLIMITED )
    {
      dsdims[0] = 0;
      maxdim[0] = H5S_UNLIMITED;
    }
    else
    {
      dsdims[0] = size;
      maxdim[0] = size;
    }

    // default chunking
    if ( chunks == H5_NONE )
      if ( size == H5_UNLIMITED )
        dchunk[0] = 1;
      else
        dchunk[0] = size;
    else
      dchunk[0] = chunks;

    // dataset compound type
    hid_t dstype = H5Tcreate( H5T_COMPOUND, sizeof( KeyPoint ) );
    H5Tinsert( dstype, "xpos",     HOFFSET( KeyPoint, pt.x     ), H5T_NATIVE_FLOAT );
    H5Tinsert( dstype, "ypos",     HOFFSET( KeyPoint, pt.y     ), H5T_NATIVE_FLOAT );
    H5Tinsert( dstype, "size",     HOFFSET( KeyPoint, size     ), H5T_NATIVE_FLOAT );
    H5Tinsert( dstype, "angle",    HOFFSET( KeyPoint, angle    ), H5T_NATIVE_FLOAT );
    H5Tinsert( dstype, "response", HOFFSET( KeyPoint, response ), H5T_NATIVE_FLOAT );
    H5Tinsert( dstype, "octave",   HOFFSET( KeyPoint, octave   ), H5T_NATIVE_INT32 );
    H5Tinsert( dstype, "class_id", HOFFSET( KeyPoint, class_id ), H5T_NATIVE_INT32 );

    // create dataset space
    hid_t dspace = H5Screate_simple( 1, dsdims, maxdim );

    // create data property
    hid_t dsdcpl = H5Pcreate( H5P_DATASET_CREATE );

    // set properties
    if ( compresslevel >= 0 )
      H5Pset_deflate( dsdcpl, compresslevel );

    // if chunking or compression
    if ( dchunk[0] > 0 || compresslevel >= 0 )
      H5Pset_chunk( dsdcpl, 1, dchunk );

    // create data
    H5Dcreate( m_h5_file_id, kplabel.c_str(), dstype,
               dspace, H5P_DEFAULT, dsdcpl, H5P_DEFAULT );

    H5Tclose( dstype );
    H5Pclose( dsdcpl );
    H5Sclose( dspace );
}

1230
void HDF5Impl::kpwrite( const vector<KeyPoint> keypoints, const String& kplabel,
1231 1232 1233 1234
             const int offset, const int counts ) const
{
    CV_Assert( keypoints.size() > 0 );

1235
    int dskdims[1];
1236 1237 1238 1239 1240 1241
    hsize_t dsddims[1];
    hsize_t doffset[1];

    // replicate vector dimension
    doffset[0] = 0;
    dsddims[0] = keypoints.size();
1242
    dskdims[0] = (int)keypoints.size();
1243 1244 1245

    // pre-create dataset if needed
    if ( hlexists( kplabel ) == false )
1246
      kpcreate( dskdims[0], kplabel );
1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285

    // set custom amount of data
    if ( counts != H5_NONE )
      dsddims[0] = counts;

    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, kplabel.c_str(), H5P_DEFAULT );

    // create input data space
    hid_t dspace = H5Screate_simple( 1, dsddims, NULL );

    // set custom offsets
    if ( offset != H5_NONE )
      doffset[0] = offset;

    // create offset write window space
    hid_t fspace = H5Dget_space( dsdata );
    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         doffset, NULL, dsddims, NULL );

    // memory compound type
    hid_t mmtype = H5Tcreate( H5T_COMPOUND, sizeof( KeyPoint ) );
    H5Tinsert( mmtype, "xpos",     HOFFSET( KeyPoint, pt.x     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "ypos",     HOFFSET( KeyPoint, pt.y     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "size",     HOFFSET( KeyPoint, size     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "angle",    HOFFSET( KeyPoint, angle    ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "response", HOFFSET( KeyPoint, response ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "octave",   HOFFSET( KeyPoint, octave   ), H5T_NATIVE_INT32 );
    H5Tinsert( mmtype, "class_id", HOFFSET( KeyPoint, class_id ), H5T_NATIVE_INT32 );

    // write into dataset
    H5Dwrite( dsdata, mmtype, dspace, fspace, H5P_DEFAULT, &keypoints[0] );

    H5Tclose( mmtype );
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

1286
void HDF5Impl::kpinsert( const vector<KeyPoint> keypoints, const String& kplabel,
1287 1288 1289 1290 1291 1292
             const int offset, const int counts ) const
{
    CV_Assert( keypoints.size() > 0 );

    // check dataset exists
    if ( hlexists( kplabel ) == false )
1293
      CV_Error_(Error::StsInternal, ("Dataset '%s' does not exist.", kplabel.c_str()));
1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318

    hsize_t dsddims[1];
    hsize_t doffset[1];

    // replicate vector dimension
    doffset[0] = 0;
    dsddims[0] = keypoints.size();

    // set custom amount of data
    if ( counts != H5_NONE )
      dsddims[0] = counts;

    // open dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, kplabel.c_str(), H5P_DEFAULT );

    // create input data space
    hid_t dspace = H5Screate_simple( 1, dsddims, NULL );

    // set custom offsets
    if ( offset != H5_NONE )
      doffset[0] = offset;

    // get actual file space and dims
    hid_t fspace = H5Dget_space( dsdata );
    int f_dims = H5Sget_simple_extent_ndims( fspace );
1319
    hsize_t *fsdims = new hsize_t[f_dims];
1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361
    H5Sget_simple_extent_dims( fspace, fsdims, NULL );
    H5Sclose( fspace );

    CV_Assert( f_dims == 1 );

    // compute new extents
    hsize_t nwdims[1] = { 0 };
    // add offset
    if ( offset != H5_NONE )
      nwdims[0] += offset;
    // add counts or matrixsize
    if ( counts != H5_NONE )
      nwdims[0] += counts;
    else
      nwdims[0] += keypoints.size();

    // clamp back if smaller
    if ( nwdims[0] < fsdims[0] )
      nwdims[0] = fsdims[0];

    // extend dataset
    H5Dextend( dsdata, nwdims );

    // get the extended data space
    fspace = H5Dget_space( dsdata );

    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         doffset, NULL, dsddims, NULL );

    // memory compound type
    hid_t mmtype = H5Tcreate( H5T_COMPOUND, sizeof( KeyPoint ) );
    H5Tinsert( mmtype, "xpos",     HOFFSET( KeyPoint, pt.x     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "ypos",     HOFFSET( KeyPoint, pt.y     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "size",     HOFFSET( KeyPoint, size     ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "angle",    HOFFSET( KeyPoint, angle    ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "response", HOFFSET( KeyPoint, response ), H5T_NATIVE_FLOAT );
    H5Tinsert( mmtype, "octave",   HOFFSET( KeyPoint, octave   ), H5T_NATIVE_INT32 );
    H5Tinsert( mmtype, "class_id", HOFFSET( KeyPoint, class_id ), H5T_NATIVE_INT32 );

    // write into dataset
    H5Dwrite( dsdata, mmtype, dspace, fspace, H5P_DEFAULT, &keypoints[0] );

1362
    delete [] fsdims;
1363

1364 1365 1366 1367 1368 1369
    H5Tclose( mmtype );
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

1370
void HDF5Impl::kpread( vector<KeyPoint>& keypoints, const String& kplabel,
1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430
             const int offset, const int counts ) const
{
    CV_Assert( keypoints.size() == 0 );

    // open the HDF5 dataset
    hid_t dsdata = H5Dopen( m_h5_file_id, kplabel.c_str(), H5P_DEFAULT );

    // get data type
    hid_t dstype = H5Dget_type( dsdata );

    // get file space
    hid_t fspace = H5Dget_space( dsdata );

    // fetch rank
    int n_dims = H5Sget_simple_extent_ndims( fspace );

    CV_Assert( n_dims == 1 );

    // fetch dims
    hsize_t dsddims[1];
    H5Sget_simple_extent_dims( fspace, dsddims, NULL );

    // set amount by custom offset
    if ( offset != H5_NONE )
      dsddims[0] -= offset;

    // set custom amount of data
    if ( counts != H5_NONE )
      dsddims[0] = counts;

    // get memory write window
    hsize_t foffset[1] = { 0 };

    // allocate keypoints vector
    keypoints.resize( dsddims[0] );

    // get blank data space
    hid_t dspace = H5Screate_simple( 1, dsddims, NULL );

    // get matrix write window
    H5Sselect_hyperslab( dspace, H5S_SELECT_SET,
                         foffset, NULL, dsddims, NULL );

    // set custom offsets
    if ( offset != H5_NONE )
      foffset[0] = offset;

    // get a file read window
    H5Sselect_hyperslab( fspace, H5S_SELECT_SET,
                         foffset, NULL, dsddims, NULL );

    // read from DS
    H5Dread( dsdata, dstype, dspace, fspace, H5P_DEFAULT, &keypoints[0] );

    H5Tclose( dstype );
    H5Sclose( dspace );
    H5Sclose( fspace );
    H5Dclose( dsdata );
}

1431
CV_EXPORTS Ptr<HDF5> open( const String& HDF5Filename )
1432 1433 1434 1435 1436 1437
{
    return makePtr<HDF5Impl>( HDF5Filename );
}

} // end namespace hdf
} // end namespace cv