class_docstr: A class to evaluate detections.
class_docstr_tok: ["A","class","to","evaluate","detections","."]
docstr: Clears the state to prepare for a fresh evaluation.
code: def clear(self):
      """Clears the state to prepare for a fresh evaluation."""
      self._evaluation = ObjectDetectionEvaluation(
          num_groundtruth_classes=self._num_classes,
          matching_iou_threshold=self._matching_iou_threshold,
          use_weighted_mean_ap=self._use_weighted_mean_ap,
          label_id_offset=self._label_id_offset,
      )
      self._image_ids.clear()
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import collections
  import logging
  import numpy
  from abc import ABCMeta, abstractmethod
  from .None import label_map_util, metrics, per_image_evaluation, standard_fields
label_desc: Use image node_id 5 for calling the ObjectDetectionEvaluator obj's underlying member method code with example usage: obj.clear() without return types