import itertools
import logging
import os.path as osp
import tempfile

import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from mmdet.utils import get_root_logger

from .builder import DATASETS
from .coco import CocoDataset
from pycocotools import mask as maskUtils


@DATASETS.register_module()
class LVISV05Dataset(CocoDataset):

    CLASSES = (
        'acorn', 'aerosol_can', 'air_conditioner', 'airplane', 'alarm_clock',
        'alcohol', 'alligator', 'almond', 'ambulance', 'amplifier', 'anklet',
        'antenna', 'apple', 'apple_juice', 'applesauce', 'apricot', 'apron',
        'aquarium', 'armband', 'armchair', 'armoire', 'armor', 'artichoke',
        'trash_can', 'ashtray', 'asparagus', 'atomizer', 'avocado', 'award',
        'awning', 'ax', 'baby_buggy', 'basketball_backboard', 'backpack',
        'handbag', 'suitcase', 'bagel', 'bagpipe', 'baguet', 'bait', 'ball',
        'ballet_skirt', 'balloon', 'bamboo', 'banana', 'Band_Aid', 'bandage',
        'bandanna', 'banjo', 'banner', 'barbell', 'barge', 'barrel',
        'barrette', 'barrow', 'baseball_base', 'baseball', 'baseball_bat',
        'baseball_cap', 'baseball_glove', 'basket', 'basketball_hoop',
        'basketball', 'bass_horn', 'bat_(animal)', 'bath_mat', 'bath_towel',
        'bathrobe', 'bathtub', 'batter_(food)', 'battery', 'beachball', 'bead',
        'beaker', 'bean_curd', 'beanbag', 'beanie', 'bear', 'bed',
        'bedspread', 'cow', 'beef_(food)', 'beeper', 'beer_bottle', 'beer_can',
        'beetle', 'bell', 'bell_pepper', 'belt', 'belt_buckle', 'bench',
        'beret', 'bib', 'Bible', 'bicycle', 'visor', 'binder', 'binoculars',
        'bird', 'birdfeeder', 'birdbath', 'birdcage', 'birdhouse',
        'birthday_cake', 'birthday_card', 'biscuit_(bread)', 'pirate_flag',
        'black_sheep', 'blackboard', 'blanket', 'blazer', 'blender', 'blimp',
        'blinker', 'blueberry', 'boar', 'gameboard', 'boat', 'bobbin',
        'bobby_pin', 'boiled_egg', 'bolo_tie', 'deadbolt', 'bolt', 'bonnet',
        'book', 'book_bag', 'bookcase', 'booklet', 'bookmark',
        'boom_microphone', 'boot', 'bottle', 'bottle_opener', 'bouquet',
        'bow_(weapon)', 'bow_(decorative_ribbons)', 'bow-tie', 'bowl',
        'pipe_bowl', 'bowler_hat', 'bowling_ball', 'bowling_pin',
        'boxing_glove', 'suspenders', 'bracelet', 'brass_plaque', 'brassiere',
        'bread-bin', 'breechcloth', 'bridal_gown', 'briefcase',
        'bristle_brush', 'broccoli', 'broach', 'broom', 'brownie',
        'brussels_sprouts', 'bubble_gum', 'bucket', 'horse_buggy', 'bull',
        'bulldog', 'bulldozer', 'bullet_train', 'bulletin_board',
        'bulletproof_vest', 'bullhorn', 'corned_beef', 'bun', 'bunk_bed',
        'buoy', 'burrito', 'bus_(vehicle)', 'business_card', 'butcher_knife',
        'butter', 'butterfly', 'button', 'cab_(taxi)', 'cabana', 'cabin_car',
        'cabinet', 'locker', 'cake', 'calculator', 'calendar', 'calf',
        'camcorder', 'camel', 'camera', 'camera_lens', 'camper_(vehicle)',
        'can', 'can_opener', 'candelabrum', 'candle', 'candle_holder',
        'candy_bar', 'candy_cane', 'walking_cane', 'canister', 'cannon',
        'canoe', 'cantaloup', 'canteen', 'cap_(headwear)', 'bottle_cap',
        'cape', 'cappuccino', 'car_(automobile)', 'railcar_(part_of_a_train)',
        'elevator_car', 'car_battery', 'identity_card', 'card', 'cardigan',
        'cargo_ship', 'carnation', 'horse_carriage', 'carrot', 'tote_bag',
        'cart', 'carton', 'cash_register', 'casserole', 'cassette', 'cast',
        'cat', 'cauliflower', 'caviar', 'cayenne_(spice)', 'CD_player',
        'celery', 'cellular_telephone', 'chain_mail', 'chair', 'chaise_longue',
        'champagne', 'chandelier', 'chap', 'checkbook', 'checkerboard',
        'cherry', 'chessboard', 'chest_of_drawers_(furniture)',
        'chicken_(animal)', 'chicken_wire', 'chickpea', 'Chihuahua',
        'chili_(vegetable)', 'chime', 'chinaware', 'crisp_(potato_chip)',
        'poker_chip', 'chocolate_bar', 'chocolate_cake', 'chocolate_milk',
        'chocolate_mousse', 'choker', 'chopping_board', 'chopstick',
        'Christmas_tree', 'slide', 'cider', 'cigar_box', 'cigarette',
        'cigarette_case', 'cistern', 'clarinet', 'clasp', 'cleansing_agent',
        'clementine', 'clip', 'clipboard', 'clock', 'clock_tower',
        'clothes_hamper', 'clothespin', 'clutch_bag', 'coaster', 'coat',
        'coat_hanger', 'coatrack', 'cock', 'coconut', 'coffee_filter',
        'coffee_maker', 'coffee_table', 'coffeepot', 'coil', 'coin',
        'colander', 'coleslaw', 'coloring_material', 'combination_lock',
        'pacifier', 'comic_book', 'computer_keyboard', 'concrete_mixer',
        'cone', 'control', 'convertible_(automobile)', 'sofa_bed', 'cookie',
        'cookie_jar', 'cooking_utensil', 'cooler_(for_food)',
        'cork_(bottle_plug)', 'corkboard', 'corkscrew', 'edible_corn',
        'cornbread', 'cornet', 'cornice', 'cornmeal', 'corset',
        'romaine_lettuce', 'costume', 'cougar', 'coverall', 'cowbell',
        'cowboy_hat', 'crab_(animal)', 'cracker', 'crape', 'crate', 'crayon',
        'cream_pitcher', 'credit_card', 'crescent_roll', 'crib', 'crock_pot',
        'crossbar', 'crouton', 'crow', 'crown', 'crucifix', 'cruise_ship',
        'police_cruiser', 'crumb', 'crutch', 'cub_(animal)', 'cube',
        'cucumber', 'cufflink', 'cup', 'trophy_cup', 'cupcake', 'hair_curler',
        'curling_iron', 'curtain', 'cushion', 'custard', 'cutting_tool',
        'cylinder', 'cymbal', 'dachshund', 'dagger', 'dartboard',
        'date_(fruit)', 'deck_chair', 'deer', 'dental_floss', 'desk',
        'detergent', 'diaper', 'diary', 'die', 'dinghy', 'dining_table', 'tux',
        'dish', 'dish_antenna', 'dishrag', 'dishtowel', 'dishwasher',
        'dishwasher_detergent', 'diskette', 'dispenser', 'Dixie_cup', 'dog',
        'dog_collar', 'doll', 'dollar', 'dolphin', 'domestic_ass', 'eye_mask',
        'doorbell', 'doorknob', 'doormat', 'doughnut', 'dove', 'dragonfly',
        'drawer', 'underdrawers', 'dress', 'dress_hat', 'dress_suit',
        'dresser', 'drill', 'drinking_fountain', 'drone', 'dropper',
        'drum_(musical_instrument)', 'drumstick', 'duck', 'duckling',
        'duct_tape', 'duffel_bag', 'dumbbell', 'dumpster', 'dustpan',
        'Dutch_oven', 'eagle', 'earphone', 'earplug', 'earring', 'easel',
        'eclair', 'eel', 'egg', 'egg_roll', 'egg_yolk', 'eggbeater',
        'eggplant', 'electric_chair', 'refrigerator', 'elephant', 'elk',
        'envelope', 'eraser', 'escargot', 'eyepatch', 'falcon', 'fan',
        'faucet', 'fedora', 'ferret', 'Ferris_wheel', 'ferry', 'fig_(fruit)',
        'fighter_jet', 'figurine', 'file_cabinet', 'file_(tool)', 'fire_alarm',
        'fire_engine', 'fire_extinguisher', 'fire_hose', 'fireplace',
        'fireplug', 'fish', 'fish_(food)', 'fishbowl', 'fishing_boat',
        'fishing_rod', 'flag', 'flagpole', 'flamingo', 'flannel', 'flash',
        'flashlight', 'fleece', 'flip-flop_(sandal)', 'flipper_(footwear)',
        'flower_arrangement', 'flute_glass', 'foal', 'folding_chair',
        'food_processor', 'football_(American)', 'football_helmet',
        'footstool', 'fork', 'forklift', 'freight_car', 'French_toast',
        'freshener', 'frisbee', 'frog', 'fruit_juice', 'fruit_salad',
        'frying_pan', 'fudge', 'funnel', 'futon', 'gag', 'garbage',
        'garbage_truck', 'garden_hose', 'gargle', 'gargoyle', 'garlic',
        'gasmask', 'gazelle', 'gelatin', 'gemstone', 'giant_panda',
        'gift_wrap', 'ginger', 'giraffe', 'cincture',
        'glass_(drink_container)', 'globe', 'glove', 'goat', 'goggles',
        'goldfish', 'golf_club', 'golfcart', 'gondola_(boat)', 'goose',
        'gorilla', 'gourd', 'surgical_gown', 'grape', 'grasshopper', 'grater',
        'gravestone', 'gravy_boat', 'green_bean', 'green_onion', 'griddle',
        'grillroom', 'grinder_(tool)', 'grits', 'grizzly', 'grocery_bag',
        'guacamole', 'guitar', 'gull', 'gun', 'hair_spray', 'hairbrush',
        'hairnet', 'hairpin', 'ham', 'hamburger', 'hammer', 'hammock',
        'hamper', 'hamster', 'hair_dryer', 'hand_glass', 'hand_towel',
        'handcart', 'handcuff', 'handkerchief', 'handle', 'handsaw',
        'hardback_book', 'harmonium', 'hat', 'hatbox', 'hatch', 'veil',
        'headband', 'headboard', 'headlight', 'headscarf', 'headset',
        'headstall_(for_horses)', 'hearing_aid', 'heart', 'heater',
        'helicopter', 'helmet', 'heron', 'highchair', 'hinge', 'hippopotamus',
        'hockey_stick', 'hog', 'home_plate_(baseball)', 'honey', 'fume_hood',
        'hook', 'horse', 'hose', 'hot-air_balloon', 'hotplate', 'hot_sauce',
        'hourglass', 'houseboat', 'hummingbird', 'hummus', 'polar_bear',
        'icecream', 'popsicle', 'ice_maker', 'ice_pack', 'ice_skate',
        'ice_tea', 'igniter', 'incense', 'inhaler', 'iPod',
        'iron_(for_clothing)', 'ironing_board', 'jacket', 'jam', 'jean',
        'jeep', 'jelly_bean', 'jersey', 'jet_plane', 'jewelry', 'joystick',
        'jumpsuit', 'kayak', 'keg', 'kennel', 'kettle', 'key', 'keycard',
        'kilt', 'kimono', 'kitchen_sink', 'kitchen_table', 'kite', 'kitten',
        'kiwi_fruit', 'knee_pad', 'knife', 'knight_(chess_piece)',
        'knitting_needle', 'knob', 'knocker_(on_a_door)', 'koala', 'lab_coat',
        'ladder', 'ladle', 'ladybug', 'lamb_(animal)', 'lamb-chop', 'lamp',
        'lamppost', 'lampshade', 'lantern', 'lanyard', 'laptop_computer',
        'lasagna', 'latch', 'lawn_mower', 'leather', 'legging_(clothing)',
        'Lego', 'lemon', 'lemonade', 'lettuce', 'license_plate', 'life_buoy',
        'life_jacket', 'lightbulb', 'lightning_rod', 'lime', 'limousine',
        'linen_paper', 'lion', 'lip_balm', 'lipstick', 'liquor', 'lizard',
        'Loafer_(type_of_shoe)', 'log', 'lollipop', 'lotion',
        'speaker_(stero_equipment)', 'loveseat', 'machine_gun', 'magazine',
        'magnet', 'mail_slot', 'mailbox_(at_home)', 'mallet', 'mammoth',
        'mandarin_orange', 'manger', 'manhole', 'map', 'marker', 'martini',
        'mascot', 'mashed_potato', 'masher', 'mask', 'mast',
        'mat_(gym_equipment)', 'matchbox', 'mattress', 'measuring_cup',
        'measuring_stick', 'meatball', 'medicine', 'melon', 'microphone',
        'microscope', 'microwave_oven', 'milestone', 'milk', 'minivan',
        'mint_candy', 'mirror', 'mitten', 'mixer_(kitchen_tool)', 'money',
        'monitor_(computer_equipment) computer_monitor', 'monkey', 'motor',
        'motor_scooter', 'motor_vehicle', 'motorboat', 'motorcycle',
        'mound_(baseball)', 'mouse_(animal_rodent)',
        'mouse_(computer_equipment)', 'mousepad', 'muffin', 'mug', 'mushroom',
        'music_stool', 'musical_instrument', 'nailfile', 'nameplate', 'napkin',
        'neckerchief', 'necklace', 'necktie', 'needle', 'nest', 'newsstand',
        'nightshirt', 'nosebag_(for_animals)', 'noseband_(for_animals)',
        'notebook', 'notepad', 'nut', 'nutcracker', 'oar', 'octopus_(food)',
        'octopus_(animal)', 'oil_lamp', 'olive_oil', 'omelet', 'onion',
        'orange_(fruit)', 'orange_juice', 'oregano', 'ostrich', 'ottoman',
        'overalls_(clothing)', 'owl', 'packet', 'inkpad', 'pad', 'paddle',
        'padlock', 'paintbox', 'paintbrush', 'painting', 'pajamas', 'palette',
        'pan_(for_cooking)', 'pan_(metal_container)', 'pancake', 'pantyhose',
        'papaya', 'paperclip', 'paper_plate', 'paper_towel', 'paperback_book',
        'paperweight', 'parachute', 'parakeet', 'parasail_(sports)',
        'parchment', 'parka', 'parking_meter', 'parrot',
        'passenger_car_(part_of_a_train)', 'passenger_ship', 'passport',
        'pastry', 'patty_(food)', 'pea_(food)', 'peach', 'peanut_butter',
        'pear', 'peeler_(tool_for_fruit_and_vegetables)', 'pegboard',
        'pelican', 'pen', 'pencil', 'pencil_box', 'pencil_sharpener',
        'pendulum', 'penguin', 'pennant', 'penny_(coin)', 'pepper',
        'pepper_mill', 'perfume', 'persimmon', 'baby', 'pet', 'petfood',
        'pew_(church_bench)', 'phonebook', 'phonograph_record', 'piano',
        'pickle', 'pickup_truck', 'pie', 'pigeon', 'piggy_bank', 'pillow',
        'pin_(non_jewelry)', 'pineapple', 'pinecone', 'ping-pong_ball',
        'pinwheel', 'tobacco_pipe', 'pipe', 'pistol', 'pita_(bread)',
        'pitcher_(vessel_for_liquid)', 'pitchfork', 'pizza', 'place_mat',
        'plate', 'platter', 'playing_card', 'playpen', 'pliers',
        'plow_(farm_equipment)', 'pocket_watch', 'pocketknife',
        'poker_(fire_stirring_tool)', 'pole', 'police_van', 'polo_shirt',
        'poncho', 'pony', 'pool_table', 'pop_(soda)', 'portrait',
        'postbox_(public)', 'postcard', 'poster', 'pot', 'flowerpot', 'potato',
        'potholder', 'pottery', 'pouch', 'power_shovel', 'prawn', 'printer',
        'projectile_(weapon)', 'projector', 'propeller', 'prune', 'pudding',
        'puffer_(fish)', 'puffin', 'pug-dog', 'pumpkin', 'puncher', 'puppet',
        'puppy', 'quesadilla', 'quiche', 'quilt', 'rabbit', 'race_car',
        'racket', 'radar', 'radiator', 'radio_receiver', 'radish', 'raft',
        'rag_doll', 'raincoat', 'ram_(animal)', 'raspberry', 'rat',
        'razorblade', 'reamer_(juicer)', 'rearview_mirror', 'receipt',
        'recliner', 'record_player', 'red_cabbage', 'reflector',
        'remote_control', 'rhinoceros', 'rib_(food)', 'rifle', 'ring',
        'river_boat', 'road_map', 'robe', 'rocking_chair', 'roller_skate',
        'Rollerblade', 'rolling_pin', 'root_beer',
        'router_(computer_equipment)', 'rubber_band', 'runner_(carpet)',
        'plastic_bag', 'saddle_(on_an_animal)', 'saddle_blanket', 'saddlebag',
        'safety_pin', 'sail', 'salad', 'salad_plate', 'salami',
        'salmon_(fish)', 'salmon_(food)', 'salsa', 'saltshaker',
        'sandal_(type_of_shoe)', 'sandwich', 'satchel', 'saucepan', 'saucer',
        'sausage', 'sawhorse', 'saxophone', 'scale_(measuring_instrument)',
        'scarecrow', 'scarf', 'school_bus', 'scissors', 'scoreboard',
        'scrambled_eggs', 'scraper', 'scratcher', 'screwdriver',
        'scrubbing_brush', 'sculpture', 'seabird', 'seahorse', 'seaplane',
        'seashell', 'seedling', 'serving_dish', 'sewing_machine', 'shaker',
        'shampoo', 'shark', 'sharpener', 'Sharpie', 'shaver_(electric)',
        'shaving_cream', 'shawl', 'shears', 'sheep', 'shepherd_dog',
        'sherbert', 'shield', 'shirt', 'shoe', 'shopping_bag', 'shopping_cart',
        'short_pants', 'shot_glass', 'shoulder_bag', 'shovel', 'shower_head',
        'shower_curtain', 'shredder_(for_paper)', 'sieve', 'signboard', 'silo',
        'sink', 'skateboard', 'skewer', 'ski', 'ski_boot', 'ski_parka',
        'ski_pole', 'skirt', 'sled', 'sleeping_bag', 'sling_(bandage)',
        'slipper_(footwear)', 'smoothie', 'snake', 'snowboard', 'snowman',
        'snowmobile', 'soap', 'soccer_ball', 'sock', 'soda_fountain',
        'carbonated_water', 'sofa', 'softball', 'solar_array', 'sombrero',
        'soup', 'soup_bowl', 'soupspoon', 'sour_cream', 'soya_milk',
        'space_shuttle', 'sparkler_(fireworks)', 'spatula', 'spear',
        'spectacles', 'spice_rack', 'spider', 'sponge', 'spoon', 'sportswear',
        'spotlight', 'squirrel', 'stapler_(stapling_machine)', 'starfish',
        'statue_(sculpture)', 'steak_(food)', 'steak_knife',
        'steamer_(kitchen_appliance)', 'steering_wheel', 'stencil',
        'stepladder', 'step_stool', 'stereo_(sound_system)', 'stew', 'stirrer',
        'stirrup', 'stockings_(leg_wear)', 'stool', 'stop_sign', 'brake_light',
        'stove', 'strainer', 'strap', 'straw_(for_drinking)', 'strawberry',
        'street_sign', 'streetlight', 'string_cheese', 'stylus', 'subwoofer',
        'sugar_bowl', 'sugarcane_(plant)', 'suit_(clothing)', 'sunflower',
        'sunglasses', 'sunhat', 'sunscreen', 'surfboard', 'sushi', 'mop',
        'sweat_pants', 'sweatband', 'sweater', 'sweatshirt', 'sweet_potato',
        'swimsuit', 'sword', 'syringe', 'Tabasco_sauce', 'table-tennis_table',
        'table', 'table_lamp', 'tablecloth', 'tachometer', 'taco', 'tag',
        'taillight', 'tambourine', 'army_tank', 'tank_(storage_vessel)',
        'tank_top_(clothing)', 'tape_(sticky_cloth_or_paper)', 'tape_measure',
        'tapestry', 'tarp', 'tartan', 'tassel', 'tea_bag', 'teacup',
        'teakettle', 'teapot', 'teddy_bear', 'telephone', 'telephone_booth',
        'telephone_pole', 'telephoto_lens', 'television_camera',
        'television_set', 'tennis_ball', 'tennis_racket', 'tequila',
        'thermometer', 'thermos_bottle', 'thermostat', 'thimble', 'thread',
        'thumbtack', 'tiara', 'tiger', 'tights_(clothing)', 'timer', 'tinfoil',
        'tinsel', 'tissue_paper', 'toast_(food)', 'toaster', 'toaster_oven',
        'toilet', 'toilet_tissue', 'tomato', 'tongs', 'toolbox', 'toothbrush',
        'toothpaste', 'toothpick', 'cover', 'tortilla', 'tow_truck', 'towel',
        'towel_rack', 'toy', 'tractor_(farm_equipment)', 'traffic_light',
        'dirt_bike', 'trailer_truck', 'train_(railroad_vehicle)', 'trampoline',
        'tray', 'tree_house', 'trench_coat', 'triangle_(musical_instrument)',
        'tricycle', 'tripod', 'trousers', 'truck', 'truffle_(chocolate)',
        'trunk', 'vat', 'turban', 'turkey_(bird)', 'turkey_(food)', 'turnip',
        'turtle', 'turtleneck_(clothing)', 'typewriter', 'umbrella',
        'underwear', 'unicycle', 'urinal', 'urn', 'vacuum_cleaner', 'valve',
        'vase', 'vending_machine', 'vent', 'videotape', 'vinegar', 'violin',
        'vodka', 'volleyball', 'vulture', 'waffle', 'waffle_iron', 'wagon',
        'wagon_wheel', 'walking_stick', 'wall_clock', 'wall_socket', 'wallet',
        'walrus', 'wardrobe', 'wasabi', 'automatic_washer', 'watch',
        'water_bottle', 'water_cooler', 'water_faucet', 'water_filter',
        'water_heater', 'water_jug', 'water_gun', 'water_scooter', 'water_ski',
        'water_tower', 'watering_can', 'watermelon', 'weathervane', 'webcam',
        'wedding_cake', 'wedding_ring', 'wet_suit', 'wheel', 'wheelchair',
        'whipped_cream', 'whiskey', 'whistle', 'wick', 'wig', 'wind_chime',
        'windmill', 'window_box_(for_plants)', 'windshield_wiper', 'windsock',
        'wine_bottle', 'wine_bucket', 'wineglass', 'wing_chair',
        'blinder_(for_horses)', 'wok', 'wolf', 'wooden_spoon', 'wreath',
        'wrench', 'wristband', 'wristlet', 'yacht', 'yak', 'yogurt',
        'yoke_(animal_equipment)', 'zebra', 'zucchini')

    def load_annotations(self, ann_file):
        """Load annotation from lvis style annotation file.

        Args:
            ann_file (str): Path of annotation file.

        Returns:
            list[dict]: Annotation info from LVIS api.
        """

        try:
            from lvis import LVIS
        except ImportError:
            raise ImportError('Please follow config/lvis/README.md to '
                              'install open-mmlab forked lvis first.')
        self.coco = LVIS(ann_file)
        assert not self.custom_classes, 'LVIS custom classes is not supported'
        self.cat_ids = self.coco.get_cat_ids()
        self.cat2label = {cat_id: i for i, cat_id in enumerate(self.cat_ids)}
        self.img_ids = self.coco.get_img_ids()
        data_infos = []
        for i in self.img_ids:
            info = self.coco.load_imgs([i])[0]
            if info['file_name'].startswith('COCO'):
                # Convert form the COCO 2014 file naming convention of
                # COCO_[train/val/test]2014_000000000000.jpg to the 2017
                # naming convention of 000000000000.jpg
                # (LVIS v1 will fix this naming issue)
                info['filename'] = info['file_name'][-16:]
            else:
                info['filename'] = info['file_name']
            data_infos.append(info)
        return data_infos

    def evaluate(self,
                 results,
                 metric='bbox',
                 logger=None,
                 jsonfile_prefix=None,
                 classwise=False,
                 proposal_nums=(100, 300, 1000),
                 iou_thrs=np.arange(0.5, 0.96, 0.05)):
        """Evaluation in LVIS protocol.

        Args:
            results (list[list | tuple]): Testing results of the dataset.
            metric (str | list[str]): Metrics to be evaluated. Options are
                'bbox', 'segm', 'proposal', 'proposal_fast'.
            logger (logging.Logger | str | None): Logger used for printing
                related information during evaluation. Default: None.
            jsonfile_prefix (str | None):
            classwise (bool): Whether to evaluating the AP for each class.
            proposal_nums (Sequence[int]): Proposal number used for evaluating
                recalls, such as recall@100, recall@1000.
                Default: (100, 300, 1000).
            iou_thrs (Sequence[float]): IoU threshold used for evaluating
                recalls. If set to a list, the average recall of all IoUs will
                also be computed. Default: 0.5.

        Returns:
            dict[str, float]: LVIS style metrics.
        """

        try:
            from lvis import LVISResults, LVISEval
        except ImportError:
            raise ImportError('Please follow config/lvis/README.md to '
                              'install open-mmlab forked lvis first.')
        assert isinstance(results, list), 'results must be a list'
        assert len(results) == len(self), (
            'The length of results is not equal to the dataset len: {} != {}'.
            format(len(results), len(self)))

        metrics = metric if isinstance(metric, list) else [metric]
        allowed_metrics = ['bbox', 'segm', 'proposal', 'proposal_fast']
        for metric in metrics:
            if metric not in allowed_metrics:
                raise KeyError('metric {} is not supported'.format(metric))

        if jsonfile_prefix is None:
            tmp_dir = tempfile.TemporaryDirectory()
            jsonfile_prefix = osp.join(tmp_dir.name, 'results')
        else:
            tmp_dir = None
        result_files = self.results2json(results, jsonfile_prefix)

        eval_results = {}
        # get original api
        lvis_gt = self.coco
        for metric in metrics:
            msg = 'Evaluating {}...'.format(metric)
            if logger is None:
                msg = '\n' + msg
            print_log(msg, logger=logger)

            if metric == 'proposal_fast':
                ar = self.fast_eval_recall(
                    results, proposal_nums, iou_thrs, logger='silent')
                log_msg = []
                for i, num in enumerate(proposal_nums):
                    eval_results['AR@{}'.format(num)] = ar[i]
                    log_msg.append('\nAR@{}\t{:.4f}'.format(num, ar[i]))
                log_msg = ''.join(log_msg)
                print_log(log_msg, logger=logger)
                continue

            if metric not in result_files:
                raise KeyError('{} is not in results'.format(metric))
            try:
                lvis_dt = LVISResults(lvis_gt, result_files[metric])
            except IndexError:
                print_log(
                    'The testing results of the whole dataset is empty.',
                    logger=logger,
                    level=logging.ERROR)
                break

            iou_type = 'bbox' if metric == 'proposal' else metric
            lvis_eval = LVISEval(lvis_gt, lvis_dt, iou_type)
            lvis_eval.params.imgIds = self.img_ids
            if metric == 'proposal':
                lvis_eval.params.useCats = 0
                lvis_eval.params.maxDets = list(proposal_nums)
                lvis_eval.evaluate()
                lvis_eval.accumulate()
                lvis_eval.summarize()
                for k, v in lvis_eval.get_results().items():
                    if k.startswith('AR'):
                        val = float('{:.3f}'.format(float(v)))
                        eval_results[k] = val
            else:
                lvis_eval.evaluate()
                lvis_eval.accumulate()
                lvis_eval.summarize()
                lvis_results = lvis_eval.get_results()
                if classwise:  # Compute per-category AP
                    # Compute per-category AP
                    # from https://github.com/facebookresearch/detectron2/
                    precisions = lvis_eval.eval['precision']
                    # precision: (iou, recall, cls, area range)
                    assert len(self.cat_ids) == precisions.shape[2]

                    results_per_category = []
                    for idx, catId in enumerate(self.cat_ids):
                        # area range index 0: all area ranges
                        # max dets index -1: typically 100 per image
                        nm = self.coco.load_cats([catId])[0]
                        precision = precisions[:, :, idx, 0]
                        precision = precision[precision > -1]
                        if precision.size:
                            ap = np.mean(precision)
                        else:
                            ap = float('nan')
                        results_per_category.append(
                            (f'{nm["name"]}', f'{float(ap):0.3f}'))

                    num_columns = min(6, len(results_per_category) * 2)
                    results_flatten = list(
                        itertools.chain(*results_per_category))
                    headers = ['category', 'AP'] * (num_columns // 2)
                    results_2d = itertools.zip_longest(*[
                        results_flatten[i::num_columns]
                        for i in range(num_columns)
                    ])
                    table_data = [headers]
                    table_data += [result for result in results_2d]
                    table = AsciiTable(table_data)
                    print_log('\n' + table.table, logger=logger)

                    format_summary_result_list = self._get_lvis_format_result(lvis_eval)
                    format_summary_result = "\n".join(format_summary_result_list)

                    with open(f"per-category-ap-{metric}.txt", 'w') as f:
                        f.write(table.table + "\n" + format_summary_result)

                for k, v in lvis_results.items():
                    if k.startswith('AP'):
                        key = '{}_{}'.format(metric, k)
                        val = float('{:.3f}'.format(float(v)))
                        eval_results[key] = val
                ap_summary = ' '.join([
                    '{}:{:.3f}'.format(k, float(v))
                    for k, v in lvis_results.items() if k.startswith('AP')
                ])
                eval_results['{}_mAP_copypaste'.format(metric)] = ap_summary
            lvis_eval.print_results()
        if tmp_dir is not None:
            tmp_dir.cleanup()
        return eval_results

    def _filter_imgs(self, min_size=32):
        """Filter images too small or without ground truths."""
        logger = get_root_logger()
        valid_inds = []
        ids_with_ann = set(_['image_id'] for _ in self.coco.anns.values())
        for i, img_info in enumerate(self.data_infos):
            if self.filter_empty_gt and self.img_ids[i] not in ids_with_ann:
                continue
            filename = img_info['filename']
            ann_info = self.get_ann_info(i)
            bboxes = ann_info['bboxes']
            if len(bboxes) == 0:
                logger.info(f'detected bad img: {filename}, excluded')
                continue
            if min(img_info['width'], img_info['height']) >= min_size:
                valid_inds.append(i)
        return valid_inds

    def _get_lvis_format_result(self, lvis_eval):

        def summarize(lvis_eval):
            result_dict = {}

            max_dets = lvis_eval.params.max_dets
            result_dict["AP"]   = lvis_eval._summarize('ap')

            iou_thrs = np.linspace(0.5, 0.95, int(np.round((0.95 - 0.5) / 0.05)) + 1, endpoint=True)
            for idx, thr in enumerate(iou_thrs):
                result_dict["AP{}".format(int(100 * thr))] = lvis_eval._summarize('ap', iou_thr=thr)

            result_dict["APs"] = lvis_eval._summarize('ap', area_rng="small")
            result_dict["APm"] = lvis_eval._summarize('ap', area_rng="medium")
            result_dict["APl"] = lvis_eval._summarize('ap', area_rng="large")
            result_dict["APr"] = lvis_eval._summarize('ap', freq_group_idx=0)
            result_dict["APc"] = lvis_eval._summarize('ap', freq_group_idx=1)
            result_dict["APf"] = lvis_eval._summarize('ap', freq_group_idx=2)

            key = "AR@{}".format(max_dets)
            result_dict[key] = lvis_eval._summarize('ar')

            for area_rng in ["small", "medium", "large"]:
                key = "AR{}@{}".format(area_rng[0], max_dets)
                result_dict[key] = lvis_eval._summarize('ar', area_rng=area_rng)

            return result_dict

        template = " {:<18} {} @[ IoU={:<9} | area={:>6s} | maxDets={:>3d} catIds={:>3s}] = {:0.3f}"

        result_list = []
        result_dict = summarize(lvis_eval)
        for key, value in result_dict.items():
            max_dets = lvis_eval.params.max_dets
            if "AP" in key:
                title = "Average Precision"
                _type = "(AP)"
            else:
                title = "Average Recall"
                _type = "(AR)"

            if len(key) > 2 and key[2].isdigit():
                iou_thr = (float(key[2:]) / 100)
                iou = "{:0.2f}".format(iou_thr)
            else:
                iou = "{:0.2f}:{:0.2f}".format(
                    lvis_eval.params.iou_thrs[0], lvis_eval.params.iou_thrs[-1]
                )

            if len(key) > 2 and key[2] in ["r", "c", "f"]:
                cat_group_name = key[2]
            else:
                cat_group_name = "all"

            if len(key) > 2 and key[2] in ["s", "m", "l"]:
                area_rng = key[2]
            else:
                area_rng = "all"

            result_list.append(template.format(title, _type, iou, area_rng, max_dets, cat_group_name, value))
        return result_list


LVISDataset = LVISV05Dataset
DATASETS.register_module(name='LVISDataset', module=LVISDataset)


@DATASETS.register_module()
class LVISV1Dataset(LVISDataset):

    CLASSES = (
        'aerosol_can', 'air_conditioner', 'airplane', 'alarm_clock', 'alcohol',
        'alligator', 'almond', 'ambulance', 'amplifier', 'anklet', 'antenna',
        'apple', 'applesauce', 'apricot', 'apron', 'aquarium',
        'arctic_(type_of_shoe)', 'armband', 'armchair', 'armoire', 'armor',
        'artichoke', 'trash_can', 'ashtray', 'asparagus', 'atomizer',
        'avocado', 'award', 'awning', 'ax', 'baboon', 'baby_buggy',
        'basketball_backboard', 'backpack', 'handbag', 'suitcase', 'bagel',
        'bagpipe', 'baguet', 'bait', 'ball', 'ballet_skirt', 'balloon',
        'bamboo', 'banana', 'Band_Aid', 'bandage', 'bandanna', 'banjo',
        'banner', 'barbell', 'barge', 'barrel', 'barrette', 'barrow',
        'baseball_base', 'baseball', 'baseball_bat', 'baseball_cap',
        'baseball_glove', 'basket', 'basketball', 'bass_horn', 'bat_(animal)',
        'bath_mat', 'bath_towel', 'bathrobe', 'bathtub', 'batter_(food)',
        'battery', 'beachball', 'bead', 'bean_curd', 'beanbag', 'beanie',
        'bear', 'bed', 'bedpan', 'bedspread', 'cow', 'beef_(food)', 'beeper',
        'beer_bottle', 'beer_can', 'beetle', 'bell', 'bell_pepper', 'belt',
        'belt_buckle', 'bench', 'beret', 'bib', 'Bible', 'bicycle', 'visor',
        'billboard', 'binder', 'binoculars', 'bird', 'birdfeeder', 'birdbath',
        'birdcage', 'birdhouse', 'birthday_cake', 'birthday_card',
        'pirate_flag', 'black_sheep', 'blackberry', 'blackboard', 'blanket',
        'blazer', 'blender', 'blimp', 'blinker', 'blouse', 'blueberry',
        'gameboard', 'boat', 'bob', 'bobbin', 'bobby_pin', 'boiled_egg',
        'bolo_tie', 'deadbolt', 'bolt', 'bonnet', 'book', 'bookcase',
        'booklet', 'bookmark', 'boom_microphone', 'boot', 'bottle',
        'bottle_opener', 'bouquet', 'bow_(weapon)', 'bow_(decorative_ribbons)',
        'bow-tie', 'bowl', 'pipe_bowl', 'bowler_hat', 'bowling_ball', 'box',
        'boxing_glove', 'suspenders', 'bracelet', 'brass_plaque', 'brassiere',
        'bread-bin', 'bread', 'breechcloth', 'bridal_gown', 'briefcase',
        'broccoli', 'broach', 'broom', 'brownie', 'brussels_sprouts',
        'bubble_gum', 'bucket', 'horse_buggy', 'bull', 'bulldog', 'bulldozer',
        'bullet_train', 'bulletin_board', 'bulletproof_vest', 'bullhorn',
        'bun', 'bunk_bed', 'buoy', 'burrito', 'bus_(vehicle)', 'business_card',
        'butter', 'butterfly', 'button', 'cab_(taxi)', 'cabana', 'cabin_car',
        'cabinet', 'locker', 'cake', 'calculator', 'calendar', 'calf',
        'camcorder', 'camel', 'camera', 'camera_lens', 'camper_(vehicle)',
        'can', 'can_opener', 'candle', 'candle_holder', 'candy_bar',
        'candy_cane', 'walking_cane', 'canister', 'canoe', 'cantaloup',
        'canteen', 'cap_(headwear)', 'bottle_cap', 'cape', 'cappuccino',
        'car_(automobile)', 'railcar_(part_of_a_train)', 'elevator_car',
        'car_battery', 'identity_card', 'card', 'cardigan', 'cargo_ship',
        'carnation', 'horse_carriage', 'carrot', 'tote_bag', 'cart', 'carton',
        'cash_register', 'casserole', 'cassette', 'cast', 'cat', 'cauliflower',
        'cayenne_(spice)', 'CD_player', 'celery', 'cellular_telephone',
        'chain_mail', 'chair', 'chaise_longue', 'chalice', 'chandelier',
        'chap', 'checkbook', 'checkerboard', 'cherry', 'chessboard',
        'chicken_(animal)', 'chickpea', 'chili_(vegetable)', 'chime',
        'chinaware', 'crisp_(potato_chip)', 'poker_chip', 'chocolate_bar',
        'chocolate_cake', 'chocolate_milk', 'chocolate_mousse', 'choker',
        'chopping_board', 'chopstick', 'Christmas_tree', 'slide', 'cider',
        'cigar_box', 'cigarette', 'cigarette_case', 'cistern', 'clarinet',
        'clasp', 'cleansing_agent', 'cleat_(for_securing_rope)', 'clementine',
        'clip', 'clipboard', 'clippers_(for_plants)', 'cloak', 'clock',
        'clock_tower', 'clothes_hamper', 'clothespin', 'clutch_bag', 'coaster',
        'coat', 'coat_hanger', 'coatrack', 'cock', 'cockroach',
        'cocoa_(beverage)', 'coconut', 'coffee_maker', 'coffee_table',
        'coffeepot', 'coil', 'coin', 'colander', 'coleslaw',
        'coloring_material', 'combination_lock', 'pacifier', 'comic_book',
        'compass', 'computer_keyboard', 'condiment', 'cone', 'control',
        'convertible_(automobile)', 'sofa_bed', 'cooker', 'cookie',
        'cooking_utensil', 'cooler_(for_food)', 'cork_(bottle_plug)',
        'corkboard', 'corkscrew', 'edible_corn', 'cornbread', 'cornet',
        'cornice', 'cornmeal', 'corset', 'costume', 'cougar', 'coverall',
        'cowbell', 'cowboy_hat', 'crab_(animal)', 'crabmeat', 'cracker',
        'crape', 'crate', 'crayon', 'cream_pitcher', 'crescent_roll', 'crib',
        'crock_pot', 'crossbar', 'crouton', 'crow', 'crowbar', 'crown',
        'crucifix', 'cruise_ship', 'police_cruiser', 'crumb', 'crutch',
        'cub_(animal)', 'cube', 'cucumber', 'cufflink', 'cup', 'trophy_cup',
        'cupboard', 'cupcake', 'hair_curler', 'curling_iron', 'curtain',
        'cushion', 'cylinder', 'cymbal', 'dagger', 'dalmatian', 'dartboard',
        'date_(fruit)', 'deck_chair', 'deer', 'dental_floss', 'desk',
        'detergent', 'diaper', 'diary', 'die', 'dinghy', 'dining_table', 'tux',
        'dish', 'dish_antenna', 'dishrag', 'dishtowel', 'dishwasher',
        'dishwasher_detergent', 'dispenser', 'diving_board', 'Dixie_cup',
        'dog', 'dog_collar', 'doll', 'dollar', 'dollhouse', 'dolphin',
        'domestic_ass', 'doorknob', 'doormat', 'doughnut', 'dove', 'dragonfly',
        'drawer', 'underdrawers', 'dress', 'dress_hat', 'dress_suit',
        'dresser', 'drill', 'drone', 'dropper', 'drum_(musical_instrument)',
        'drumstick', 'duck', 'duckling', 'duct_tape', 'duffel_bag', 'dumbbell',
        'dumpster', 'dustpan', 'eagle', 'earphone', 'earplug', 'earring',
        'easel', 'eclair', 'eel', 'egg', 'egg_roll', 'egg_yolk', 'eggbeater',
        'eggplant', 'electric_chair', 'refrigerator', 'elephant', 'elk',
        'envelope', 'eraser', 'escargot', 'eyepatch', 'falcon', 'fan',
        'faucet', 'fedora', 'ferret', 'Ferris_wheel', 'ferry', 'fig_(fruit)',
        'fighter_jet', 'figurine', 'file_cabinet', 'file_(tool)', 'fire_alarm',
        'fire_engine', 'fire_extinguisher', 'fire_hose', 'fireplace',
        'fireplug', 'first-aid_kit', 'fish', 'fish_(food)', 'fishbowl',
        'fishing_rod', 'flag', 'flagpole', 'flamingo', 'flannel', 'flap',
        'flash', 'flashlight', 'fleece', 'flip-flop_(sandal)',
        'flipper_(footwear)', 'flower_arrangement', 'flute_glass', 'foal',
        'folding_chair', 'food_processor', 'football_(American)',
        'football_helmet', 'footstool', 'fork', 'forklift', 'freight_car',
        'French_toast', 'freshener', 'frisbee', 'frog', 'fruit_juice',
        'frying_pan', 'fudge', 'funnel', 'futon', 'gag', 'garbage',
        'garbage_truck', 'garden_hose', 'gargle', 'gargoyle', 'garlic',
        'gasmask', 'gazelle', 'gelatin', 'gemstone', 'generator',
        'giant_panda', 'gift_wrap', 'ginger', 'giraffe', 'cincture',
        'glass_(drink_container)', 'globe', 'glove', 'goat', 'goggles',
        'goldfish', 'golf_club', 'golfcart', 'gondola_(boat)', 'goose',
        'gorilla', 'gourd', 'grape', 'grater', 'gravestone', 'gravy_boat',
        'green_bean', 'green_onion', 'griddle', 'grill', 'grits', 'grizzly',
        'grocery_bag', 'guitar', 'gull', 'gun', 'hairbrush', 'hairnet',
        'hairpin', 'halter_top', 'ham', 'hamburger', 'hammer', 'hammock',
        'hamper', 'hamster', 'hair_dryer', 'hand_glass', 'hand_towel',
        'handcart', 'handcuff', 'handkerchief', 'handle', 'handsaw',
        'hardback_book', 'harmonium', 'hat', 'hatbox', 'veil', 'headband',
        'headboard', 'headlight', 'headscarf', 'headset',
        'headstall_(for_horses)', 'heart', 'heater', 'helicopter', 'helmet',
        'heron', 'highchair', 'hinge', 'hippopotamus', 'hockey_stick', 'hog',
        'home_plate_(baseball)', 'honey', 'fume_hood', 'hook', 'hookah',
        'hornet', 'horse', 'hose', 'hot-air_balloon', 'hotplate', 'hot_sauce',
        'hourglass', 'houseboat', 'hummingbird', 'hummus', 'polar_bear',
        'icecream', 'popsicle', 'ice_maker', 'ice_pack', 'ice_skate',
        'igniter', 'inhaler', 'iPod', 'iron_(for_clothing)', 'ironing_board',
        'jacket', 'jam', 'jar', 'jean', 'jeep', 'jelly_bean', 'jersey',
        'jet_plane', 'jewel', 'jewelry', 'joystick', 'jumpsuit', 'kayak',
        'keg', 'kennel', 'kettle', 'key', 'keycard', 'kilt', 'kimono',
        'kitchen_sink', 'kitchen_table', 'kite', 'kitten', 'kiwi_fruit',
        'knee_pad', 'knife', 'knitting_needle', 'knob', 'knocker_(on_a_door)',
        'koala', 'lab_coat', 'ladder', 'ladle', 'ladybug', 'lamb_(animal)',
        'lamb-chop', 'lamp', 'lamppost', 'lampshade', 'lantern', 'lanyard',
        'laptop_computer', 'lasagna', 'latch', 'lawn_mower', 'leather',
        'legging_(clothing)', 'Lego', 'legume', 'lemon', 'lemonade', 'lettuce',
        'license_plate', 'life_buoy', 'life_jacket', 'lightbulb',
        'lightning_rod', 'lime', 'limousine', 'lion', 'lip_balm', 'liquor',
        'lizard', 'log', 'lollipop', 'speaker_(stero_equipment)', 'loveseat',
        'machine_gun', 'magazine', 'magnet', 'mail_slot', 'mailbox_(at_home)',
        'mallard', 'mallet', 'mammoth', 'manatee', 'mandarin_orange', 'manger',
        'manhole', 'map', 'marker', 'martini', 'mascot', 'mashed_potato',
        'masher', 'mask', 'mast', 'mat_(gym_equipment)', 'matchbox',
        'mattress', 'measuring_cup', 'measuring_stick', 'meatball', 'medicine',
        'melon', 'microphone', 'microscope', 'microwave_oven', 'milestone',
        'milk', 'milk_can', 'milkshake', 'minivan', 'mint_candy', 'mirror',
        'mitten', 'mixer_(kitchen_tool)', 'money',
        'monitor_(computer_equipment) computer_monitor', 'monkey', 'motor',
        'motor_scooter', 'motor_vehicle', 'motorcycle', 'mound_(baseball)',
        'mouse_(computer_equipment)', 'mousepad', 'muffin', 'mug', 'mushroom',
        'music_stool', 'musical_instrument', 'nailfile', 'napkin',
        'neckerchief', 'necklace', 'necktie', 'needle', 'nest', 'newspaper',
        'newsstand', 'nightshirt', 'nosebag_(for_animals)',
        'noseband_(for_animals)', 'notebook', 'notepad', 'nut', 'nutcracker',
        'oar', 'octopus_(food)', 'octopus_(animal)', 'oil_lamp', 'olive_oil',
        'omelet', 'onion', 'orange_(fruit)', 'orange_juice', 'ostrich',
        'ottoman', 'oven', 'overalls_(clothing)', 'owl', 'packet', 'inkpad',
        'pad', 'paddle', 'padlock', 'paintbrush', 'painting', 'pajamas',
        'palette', 'pan_(for_cooking)', 'pan_(metal_container)', 'pancake',
        'pantyhose', 'papaya', 'paper_plate', 'paper_towel', 'paperback_book',
        'paperweight', 'parachute', 'parakeet', 'parasail_(sports)', 'parasol',
        'parchment', 'parka', 'parking_meter', 'parrot',
        'passenger_car_(part_of_a_train)', 'passenger_ship', 'passport',
        'pastry', 'patty_(food)', 'pea_(food)', 'peach', 'peanut_butter',
        'pear', 'peeler_(tool_for_fruit_and_vegetables)', 'wooden_leg',
        'pegboard', 'pelican', 'pen', 'pencil', 'pencil_box',
        'pencil_sharpener', 'pendulum', 'penguin', 'pennant', 'penny_(coin)',
        'pepper', 'pepper_mill', 'perfume', 'persimmon', 'person', 'pet',
        'pew_(church_bench)', 'phonebook', 'phonograph_record', 'piano',
        'pickle', 'pickup_truck', 'pie', 'pigeon', 'piggy_bank', 'pillow',
        'pin_(non_jewelry)', 'pineapple', 'pinecone', 'ping-pong_ball',
        'pinwheel', 'tobacco_pipe', 'pipe', 'pistol', 'pita_(bread)',
        'pitcher_(vessel_for_liquid)', 'pitchfork', 'pizza', 'place_mat',
        'plate', 'platter', 'playpen', 'pliers', 'plow_(farm_equipment)',
        'plume', 'pocket_watch', 'pocketknife', 'poker_(fire_stirring_tool)',
        'pole', 'polo_shirt', 'poncho', 'pony', 'pool_table', 'pop_(soda)',
        'postbox_(public)', 'postcard', 'poster', 'pot', 'flowerpot', 'potato',
        'potholder', 'pottery', 'pouch', 'power_shovel', 'prawn', 'pretzel',
        'printer', 'projectile_(weapon)', 'projector', 'propeller', 'prune',
        'pudding', 'puffer_(fish)', 'puffin', 'pug-dog', 'pumpkin', 'puncher',
        'puppet', 'puppy', 'quesadilla', 'quiche', 'quilt', 'rabbit',
        'race_car', 'racket', 'radar', 'radiator', 'radio_receiver', 'radish',
        'raft', 'rag_doll', 'raincoat', 'ram_(animal)', 'raspberry', 'rat',
        'razorblade', 'reamer_(juicer)', 'rearview_mirror', 'receipt',
        'recliner', 'record_player', 'reflector', 'remote_control',
        'rhinoceros', 'rib_(food)', 'rifle', 'ring', 'river_boat', 'road_map',
        'robe', 'rocking_chair', 'rodent', 'roller_skate', 'Rollerblade',
        'rolling_pin', 'root_beer', 'router_(computer_equipment)',
        'rubber_band', 'runner_(carpet)', 'plastic_bag',
        'saddle_(on_an_animal)', 'saddle_blanket', 'saddlebag', 'safety_pin',
        'sail', 'salad', 'salad_plate', 'salami', 'salmon_(fish)',
        'salmon_(food)', 'salsa', 'saltshaker', 'sandal_(type_of_shoe)',
        'sandwich', 'satchel', 'saucepan', 'saucer', 'sausage', 'sawhorse',
        'saxophone', 'scale_(measuring_instrument)', 'scarecrow', 'scarf',
        'school_bus', 'scissors', 'scoreboard', 'scraper', 'screwdriver',
        'scrubbing_brush', 'sculpture', 'seabird', 'seahorse', 'seaplane',
        'seashell', 'sewing_machine', 'shaker', 'shampoo', 'shark',
        'sharpener', 'Sharpie', 'shaver_(electric)', 'shaving_cream', 'shawl',
        'shears', 'sheep', 'shepherd_dog', 'sherbert', 'shield', 'shirt',
        'shoe', 'shopping_bag', 'shopping_cart', 'short_pants', 'shot_glass',
        'shoulder_bag', 'shovel', 'shower_head', 'shower_cap',
        'shower_curtain', 'shredder_(for_paper)', 'signboard', 'silo', 'sink',
        'skateboard', 'skewer', 'ski', 'ski_boot', 'ski_parka', 'ski_pole',
        'skirt', 'skullcap', 'sled', 'sleeping_bag', 'sling_(bandage)',
        'slipper_(footwear)', 'smoothie', 'snake', 'snowboard', 'snowman',
        'snowmobile', 'soap', 'soccer_ball', 'sock', 'sofa', 'softball',
        'solar_array', 'sombrero', 'soup', 'soup_bowl', 'soupspoon',
        'sour_cream', 'soya_milk', 'space_shuttle', 'sparkler_(fireworks)',
        'spatula', 'spear', 'spectacles', 'spice_rack', 'spider', 'crawfish',
        'sponge', 'spoon', 'sportswear', 'spotlight', 'squid_(food)',
        'squirrel', 'stagecoach', 'stapler_(stapling_machine)', 'starfish',
        'statue_(sculpture)', 'steak_(food)', 'steak_knife', 'steering_wheel',
        'stepladder', 'step_stool', 'stereo_(sound_system)', 'stew', 'stirrer',
        'stirrup', 'stool', 'stop_sign', 'brake_light', 'stove', 'strainer',
        'strap', 'straw_(for_drinking)', 'strawberry', 'street_sign',
        'streetlight', 'string_cheese', 'stylus', 'subwoofer', 'sugar_bowl',
        'sugarcane_(plant)', 'suit_(clothing)', 'sunflower', 'sunglasses',
        'sunhat', 'surfboard', 'sushi', 'mop', 'sweat_pants', 'sweatband',
        'sweater', 'sweatshirt', 'sweet_potato', 'swimsuit', 'sword',
        'syringe', 'Tabasco_sauce', 'table-tennis_table', 'table',
        'table_lamp', 'tablecloth', 'tachometer', 'taco', 'tag', 'taillight',
        'tambourine', 'army_tank', 'tank_(storage_vessel)',
        'tank_top_(clothing)', 'tape_(sticky_cloth_or_paper)', 'tape_measure',
        'tapestry', 'tarp', 'tartan', 'tassel', 'tea_bag', 'teacup',
        'teakettle', 'teapot', 'teddy_bear', 'telephone', 'telephone_booth',
        'telephone_pole', 'telephoto_lens', 'television_camera',
        'television_set', 'tennis_ball', 'tennis_racket', 'tequila',
        'thermometer', 'thermos_bottle', 'thermostat', 'thimble', 'thread',
        'thumbtack', 'tiara', 'tiger', 'tights_(clothing)', 'timer', 'tinfoil',
        'tinsel', 'tissue_paper', 'toast_(food)', 'toaster', 'toaster_oven',
        'toilet', 'toilet_tissue', 'tomato', 'tongs', 'toolbox', 'toothbrush',
        'toothpaste', 'toothpick', 'cover', 'tortilla', 'tow_truck', 'towel',
        'towel_rack', 'toy', 'tractor_(farm_equipment)', 'traffic_light',
        'dirt_bike', 'trailer_truck', 'train_(railroad_vehicle)', 'trampoline',
        'tray', 'trench_coat', 'triangle_(musical_instrument)', 'tricycle',
        'tripod', 'trousers', 'truck', 'truffle_(chocolate)', 'trunk', 'vat',
        'turban', 'turkey_(food)', 'turnip', 'turtle', 'turtleneck_(clothing)',
        'typewriter', 'umbrella', 'underwear', 'unicycle', 'urinal', 'urn',
        'vacuum_cleaner', 'vase', 'vending_machine', 'vent', 'vest',
        'videotape', 'vinegar', 'violin', 'vodka', 'volleyball', 'vulture',
        'waffle', 'waffle_iron', 'wagon', 'wagon_wheel', 'walking_stick',
        'wall_clock', 'wall_socket', 'wallet', 'walrus', 'wardrobe',
        'washbasin', 'automatic_washer', 'watch', 'water_bottle',
        'water_cooler', 'water_faucet', 'water_heater', 'water_jug',
        'water_gun', 'water_scooter', 'water_ski', 'water_tower',
        'watering_can', 'watermelon', 'weathervane', 'webcam', 'wedding_cake',
        'wedding_ring', 'wet_suit', 'wheel', 'wheelchair', 'whipped_cream',
        'whistle', 'wig', 'wind_chime', 'windmill', 'window_box_(for_plants)',
        'windshield_wiper', 'windsock', 'wine_bottle', 'wine_bucket',
        'wineglass', 'blinder_(for_horses)', 'wok', 'wolf', 'wooden_spoon',
        'wreath', 'wrench', 'wristband', 'wristlet', 'yacht', 'yogurt',
        'yoke_(animal_equipment)', 'zebra', 'zucchini')

    def load_annotations(self, ann_file):
        try:
            from lvis import LVIS
        except ImportError:
            raise ImportError('Please follow config/lvis/README.md to '
                              'install open-mmlab forked lvis first.')
        self.coco = LVIS(ann_file)
        assert not self.custom_classes, 'LVIS custom classes is not supported'
        self.cat_ids = self.coco.get_cat_ids()
        self.cat2label = {cat_id: i for i, cat_id in enumerate(self.cat_ids)}
        self.img_ids = self.coco.get_img_ids()
        data_infos = []
        for i in self.img_ids:
            info = self.coco.load_imgs([i])[0]
            # coco_url is used in LVISv1 instead of file_name
            # e.g. http://images.cocodataset.org/train2017/000000391895.jpg
            # train/val split in specified in url
            info['filename'] = info['coco_url'].replace(
                'http://images.cocodataset.org/', '')
            data_infos.append(info)
        return data_infos
