class_docstr: Input processor for object detection.
class_docstr_tok: ["Input","processor","for","object","detection","."]
code: def __init__(self, image, output_size, boxes=None, classes=None):
      InputProcessor.__init__(self, image, output_size)
      self._boxes = boxes
      self._classes = classes
  
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 1 to create a new DetectionInputProcessor object from inherited base classes: InputProcessor with example: obj = DetectionInputProcessor(image, output_size, boxes, classes)