class_docstr: Metric util function mixin.
class_docstr_tok: ["Metric","util","function","mixin","."]
docstr: Get detection object of single image and should return area for each detection.
docstr_tok: ["Get","detection","object","of","single","image","and","should","return","area","for","each","detection","."]
code: def get_detection_areas(self, detections) -> t.List[int]:
      """Get detection object of single image and should return area for each detection."""
      pass
  
file_path: deepchecks/deepchecks/vision/metrics_utils/metric_mixin.py
imports: import typing
  from abc import abstractmethod
  import numpy
  from deepchecks.vision.metrics_utils.iou_utils import compute_pairwise_ious, group_class_detection_label, jaccard_iou
label_desc: Use image node_id 4 for calling the MetricMixin obj's underlying member method code with example usage: obj.get_detection_areas(detections) without return types