parameters: (self, keys_to_tensors)
return_statement: return array_ops.transpose(bounding_box)
docstring: Maps the given dictionary of tensors to a concatenated list of bboxes.
  
      Args:
        keys_to_tensors: a mapping of TF-Example keys to parsed tensors.
  
      Returns:
        [num_boxes, 4] tensor of bounding box coordinates,
          i.e. 1 bounding box per row, in order [y_min, x_min, y_max, x_max].
docstring_summary: Maps the given dictionary of tensors to a concatenated list of bboxes.
docstring_tokens: Maps the given dictionary of tensors to a concatenated list of bboxes .
function: def tensors_to_item(self, keys_to_tensors):
      """Maps the given dictionary of tensors to a concatenated list of bboxes.
  
      Args:
        keys_to_tensors: a mapping of TF-Example keys to parsed tensors.
  
      Returns:
        [num_boxes, 4] tensor of bounding box coordinates,
          i.e. 1 bounding box per row, in order [y_min, x_min, y_max, x_max].
      """
      sides = []
      for key in self._full_keys:
        side = keys_to_tensors[key]
        if isinstance(side, sparse_tensor.SparseTensor):
          side = side.values
        side = array_ops.expand_dims(side, 0)
        sides.append(side)
  
      bounding_box = array_ops.concat(sides, 0)
      return array_ops.transpose(bounding_box)
function_tokens: def tensors_to_item ( self , keys_to_tensors ) : sides = [ ] for key in self . _full_keys : side = keys_to_tensors [ key ] if isinstance ( side , sparse_tensor . SparseTensor ) : side = side . values side = array_ops . expand_dims ( side , 0 ) sides . append ( side ) bounding_box = array_ops . concat ( sides , 0 ) return array_ops . transpose ( bounding_box )