class_docstr: A class to evaluate instance masks using PASCAL metrics.
class_docstr_tok: ["A","class","to","evaluate","instance","masks","using","PASCAL","metrics","."]
code: def __init__(self, categories, matching_iou_threshold=0.5):
      super(PascalInstanceSegmentationEvaluator, self).__init__(
          categories,
          matching_iou_threshold=matching_iou_threshold,
          evaluate_corlocs=False,
          metric_prefix="PascalMasks",
          use_weighted_mean_ap=False,
          evaluate_masks=True,
      )
  
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 1 to create a new PascalInstanceSegmentationEvaluator object from inherited base classes: ObjectDetectionEvaluator with example: obj = PascalInstanceSegmentationEvaluator(categories, matching_iou_threshold)