class_docstr: Box collection.
class_docstr_tok: ["Box","collection","."]
docstr: Transpose the coordinate representation in a boxlist.
  
  Args:
    scope: name scope of the function.
docstr_tok: ["Transpose","the","coordinate","representation","in","a","boxlist",".","Args",":","scope",":","name","scope","of","the","function","."]
code: def transpose_coordinates(self, scope=None):
      """Transpose the coordinate representation in a boxlist.
  
      Args:
        scope: name scope of the function.
      """
      with tf.name_scope(scope, "transpose_coordinates"):
          y_min, x_min, y_max, x_max = tf.split(
              value=self.get(), num_or_size_splits=4, axis=1
          )
          self.set(tf.concat([x_min, y_min, x_max, y_max], 1))
  
file_path: DALI/docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/box_list.py
imports: import tensorflow.compat.v1
label_desc: Use image node_id 13 for calling the BoxList obj's underlying member method code with example usage: obj.transpose_coordinates(scope) without return types