docstr: Returns a dictionary of metric attributes {metric_name: {attribute_name: value}}.
  Required attributes: 'direction': 'higher-better' or 'higher-worse'
                       'type': metric type
code: def get_attributes(self):
      """
      Returns a dictionary of metric attributes {metric_name: {attribute_name: value}}.
      Required attributes: 'direction': 'higher-better' or 'higher-worse'
                           'type': metric type
      """
      return {self._name: {"direction": "higher-better", "type": "mAP"}}
  
imports: import os
  import time
  import json
  import copy
  import cv2
  import numpy
  import torch
  from torchmetrics.detection.mean_ap import MeanAveragePrecision
  import torchvision
  from pycocotools.coco import COCO
  from pycocotools.cocoeval import COCOeval
  from compression.api import DataLoader, Metric
label_desc: Use image node_id 6 for calling the MAPMetric obj's underlying member method code with example usage: obj.get_attributes() and returns: dict