parameters: (self, data_path)
docstring: Create meta dataset instance for large scale reconstruction.
  
          :param data_path: Path to directory containing meta dataset
docstring_summary: Create meta dataset instance for large scale reconstruction.
docstring_tokens: Create meta dataset instance for large scale reconstruction .
function: def __init__(self, data_path):
          '''
          Create meta dataset instance for large scale reconstruction.
  
          :param data_path: Path to directory containing meta dataset
          '''
          self.data_path = os.path.abspath(data_path)
  
          config_file = os.path.join(self.data_path, 'config.yaml')
          self.config = config.load_config(config_file)
  
          self._image_list_file_name = 'image_list_with_gps.tsv'
          self._clusters_file_name = 'clusters.npz'
          self._clusters_with_neighbors_file_name = 'clusters_with_neighbors.npz'
          self._clusters_with_neighbors_geojson_file_name = 'clusters_with_neighbors.geojson'
          self._clusters_geojson_file_name = 'clusters.geojson'
  
          io.mkdir_p(self._submodels_path())
function_tokens: def __init__ ( self , data_path ) : self . data_path = os . path . abspath ( data_path ) config_file = os . path . join ( self . data_path , 'config.yaml' ) self . config = config . load_config ( config_file ) self . _image_list_file_name = 'image_list_with_gps.tsv' self . _clusters_file_name = 'clusters.npz' self . _clusters_with_neighbors_file_name = 'clusters_with_neighbors.npz' self . _clusters_with_neighbors_geojson_file_name = 'clusters_with_neighbors.geojson' self . _clusters_geojson_file_name = 'clusters.geojson' io . mkdir_p ( self . _submodels_path ( ) )