class_docstr: Transform to convert 1-D bbox label to 2-D as in shape Nx5.
  
  Parameters
  ----------
  coord_normalized : bool
      Whether the coordinates(x0, y0, x1, y1) are normalized to (0, 1).
code: def __init__(self, coord_normalized=True):
      super(BboxLabelTransform, self).__init__()
      self._coord_normalized = coord_normalized
  
imports: import logging
  import numpy
  from .....None import ndarray
  from .....util import is_np_array
  from .....None import numpy
  from ....nn import HybridSequential, Sequential, HybridBlock, Block
  from ....data.vision import transforms
  from ....data import DataLoader
  from .transforms import bbox
label_desc: Use image node_id 1 to create a new BboxLabelTransform object from inherited base classes: Block with example: obj = BboxLabelTransform(coord_normalized)