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

    Get class id to category id map and category id
    to category name map of COCO2017 dataset

    
ppdet/data/source/category.py