class_docstr: Abstract base class for box coder.
class_docstr_tok: ["Abstract","base","class","for","box","coder","."]
docstr: Decode boxes that are encoded relative to an anchor collection.
  
  Args:
    rel_codes: a tensor representing N relative-encoded boxes
    anchors: BoxList of anchors
  
  Returns:
    boxlist: BoxList holding N boxes encoded in the ordinary way (i.e.,
      with corners y_min, x_min, y_max, x_max)
docstr_tok: ["Decode","boxes","that","are","encoded","relative","to","an","anchor","collection",".","Args",":","rel_codes",":","a","tensor","representing","N","relative-encoded","boxes","anchors",":","BoxList","of","anchors","Returns",":","boxlist",":","BoxList","holding","N","boxes","encoded","in","the","ordinary","way","(","i.e.",",","with","corners","y_min",",","x_min",",","y_max",",","x_max",")"]
code: def decode(self, rel_codes, anchors):
      """Decode boxes that are encoded relative to an anchor collection.
  
      Args:
        rel_codes: a tensor representing N relative-encoded boxes
        anchors: BoxList of anchors
  
      Returns:
        boxlist: BoxList holding N boxes encoded in the ordinary way (i.e.,
          with corners y_min, x_min, y_max, x_max)
      """
      with tf.name_scope("Decode"):
          return self._decode(rel_codes, anchors)
  
file_path: DALI/docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/box_coder.py
imports: from abc import ABCMeta
  from abc import abstractmethod
  from abc import abstractproperty
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the BoxCoder obj's underlying member method code with example usage: obj.decode(rel_codes, anchors) and returns: self