dense_quantized_multi_mod_template.h

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#ifndef PCL_FEATURES_DENSE_QUANTIZED_MULTI_MOD_TEMPLATE
#define PCL_FEATURES_DENSE_QUANTIZED_MULTI_MOD_TEMPLATE

#include <vector>

#include <pcl/recognition/region_xy.h>

namespace pcl
{

  struct DenseQuantizedSingleModTemplate
  {
    std::vector<unsigned char> features;

    void 
    serialize (std::ostream & stream) const
    {
      const size_t num_of_features = static_cast<size_t> (features.size ());
      write (stream, num_of_features);
      for (size_t feature_index = 0; feature_index < num_of_features; ++feature_index)
      {
        write (stream, features[feature_index]);
      }
    }

    void 
    deserialize (std::istream & stream)
    {
      features.clear ();

      size_t num_of_features;
      read (stream, num_of_features);
      features.resize (num_of_features);
      for (size_t feature_index = 0; feature_index < num_of_features; ++feature_index)
      {
        read (stream, features[feature_index]);
      }
    }
  };

  struct DenseQuantizedMultiModTemplate
  {
    std::vector<DenseQuantizedSingleModTemplate> modalities;
    float response_factor;

    RegionXY region;

    void 
    serialize (std::ostream & stream) const
    {
      const size_t num_of_modalities = static_cast<size_t> (modalities.size ());
      write (stream, num_of_modalities);
      for (size_t modality_index = 0; modality_index < num_of_modalities; ++modality_index)
      {
        modalities[modality_index].serialize (stream);
      }

      region.serialize (stream);
    }

    void 
    deserialize (std::istream & stream)
    {
      modalities.clear ();

      size_t num_of_modalities;
      read (stream, num_of_modalities);
      modalities.resize (num_of_modalities);
      for (size_t modality_index = 0; modality_index < num_of_modalities; ++modality_index)
      {
        modalities[modality_index].deserialize (stream);
      }

      region.deserialize (stream);
    }
  };

}

#endif