code: def _coco17_category():
      """
      Get class id to category id map and category id
      to category name map of COCO2017 dataset
  
      """
      clsid2catid = {
          1: 1,
          2: 2,
          3: 3,
          4: 4,
          5: 5,
          6: 6,
          7: 7,
          8: 8,
          9: 9,
          10: 10,
          11: 11,
          12: 13,
          13: 14,
          14: 15,
          15: 16,
          16: 17,
          17: 18,
          18: 19,
          19: 20,
          20: 21,
          21: 22,
          22: 23,
          23: 24,
          24: 25,
          25: 27,
          26: 28,
          27: 31,
          28: 32,
          29: 33,
          30: 34,
          31: 35,
          32: 36,
          33: 37,
          34: 38,
          35: 39,
          36: 40,
          37: 41,
          38: 42,
          39: 43,
          40: 44,
          41: 46,
          42: 47,
          43: 48,
          44: 49,
          45: 50,
          46: 51,
          47: 52,
          48: 53,
          49: 54,
          50: 55,
          51: 56,
          52: 57,
          53: 58,
          54: 59,
          55: 60,
          56: 61,
          57: 62,
          58: 63,
          59: 64,
          60: 65,
          61: 67,
          62: 70,
          63: 72,
          64: 73,
          65: 74,
          66: 75,
          67: 76,
          68: 77,
          69: 78,
          70: 79,
          71: 80,
          72: 81,
          73: 82,
          74: 84,
          75: 85,
          76: 86,
          77: 87,
          78: 88,
          79: 89,
          80: 90,
      }
  
      catid2name = {
          0: "background",
          1: "person",
          2: "bicycle",
          3: "car",
          4: "motorcycle",
          5: "airplane",
          6: "bus",
          7: "train",
          8: "truck",
          9: "boat",
          10: "traffic light",
          11: "fire hydrant",
          13: "stop sign",
          14: "parking meter",
          15: "bench",
          16: "bird",
          17: "cat",
          18: "dog",
          19: "horse",
          20: "sheep",
          21: "cow",
          22: "elephant",
          23: "bear",
          24: "zebra",
          25: "giraffe",
          27: "backpack",
          28: "umbrella",
          31: "handbag",
          32: "tie",
          33: "suitcase",
          34: "frisbee",
          35: "skis",
          36: "snowboard",
          37: "sports ball",
          38: "kite",
          39: "baseball bat",
          40: "baseball glove",
          41: "skateboard",
          42: "surfboard",
          43: "tennis racket",
          44: "bottle",
          46: "wine glass",
          47: "cup",
          48: "fork",
          49: "knife",
          50: "spoon",
          51: "bowl",
          52: "banana",
          53: "apple",
          54: "sandwich",
          55: "orange",
          56: "broccoli",
          57: "carrot",
          58: "hot dog",
          59: "pizza",
          60: "donut",
          61: "cake",
          62: "chair",
          63: "couch",
          64: "potted plant",
          65: "bed",
          67: "dining table",
          70: "toilet",
          72: "tv",
          73: "laptop",
          74: "mouse",
          75: "remote",
          76: "keyboard",
          77: "cell phone",
          78: "microwave",
          79: "oven",
          80: "toaster",
          81: "sink",
          82: "refrigerator",
          84: "book",
          85: "clock",
          86: "vase",
          87: "scissors",
          88: "teddy bear",
          89: "hair drier",
          90: "toothbrush",
      }
  
      clsid2catid = {k - 1: v for k, v in clsid2catid.items()}
      catid2name.pop(0)
  
      return clsid2catid, catid2name
  
file_path: PaddleDetection/ppdet/data/source/category.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from ppdet.data.source.voc import pascalvoc_label
  from ppdet.data.source.widerface import widerface_label
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling a global function with example usage: _coco17_category() and returns: clsid2catid,  catid2name