class_docstr: Input processor for object detection.
class_docstr_tok: ["Input","processor","for","object","detection","."]
docstr: Randomly flip input image and bounding boxes.
docstr_tok: ["Randomly","flip","input","image","and","bounding","boxes","."]
code: def random_horizontal_flip(self):
      """Randomly flip input image and bounding boxes."""
      self._image, self._boxes = preprocessor.random_horizontal_flip(
          self._image, boxes=self._boxes
      )
  
imports: from absl import logging
  import tensorflow
  import utils
  from pipeline import anchors
  from .None import preprocessor
  from .None import tf_example_decoder
label_desc: Use image node_id 2 for calling the DetectionInputProcessor obj's underlying member method code with example usage: obj.random_horizontal_flip() without return types