115 lines
45 KiB
Python
115 lines
45 KiB
Python
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COCO_PANOPTIC_CLASSES = ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged']
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ADE_PANOPTIC_CLASSES = ['wall', 'building', 'sky', 'floor', 'tree', 'ceiling', 'road', 'bed', 'window', 'grass', 'cabinet', 'sidewalk', 'person', 'earth', 'door', 'table', 'mountain', 'plant', 'curtain', 'chair', 'car', 'water', 'painting', 'sofa', 'shelf', 'house', 'sea', 'mirror', 'rug', 'field', 'armchair', 'seat', 'fence', 'desk', 'rock', 'wardrobe', 'lamp', 'tub', 'rail', 'cushion', 'base', 'box', 'column', 'signboard', 'chest of drawers', 'counter', 'sand', 'sink', 'skyscraper', 'fireplace', 'refrigerator', 'grandstand', 'path', 'stairs', 'runway', 'case', 'pool table', 'pillow', 'screen door', 'stairway', 'river', 'bridge', 'bookcase', 'blind', 'coffee table', 'toilet', 'flower', 'book', 'hill', 'bench', 'countertop', 'stove', 'palm', 'kitchen island', 'computer', 'swivel chair', 'boat', 'bar', 'arcade machine', 'hovel', 'bus', 'towel', 'light', 'truck', 'tower', 'chandelier', 'awning', 'street lamp', 'booth', 'tv', 'airplane', 'dirt track', 'clothes', 'pole', 'land', 'bannister', 'escalator', 'ottoman', 'bottle', 'buffet', 'poster', 'stage', 'van', 'ship', 'fountain', 'conveyer belt', 'canopy', 'washer', 'plaything', 'pool', 'stool', 'barrel', 'basket', 'falls', 'tent', 'bag', 'minibike', 'cradle', 'oven', 'ball', 'food', 'step', 'tank', 'trade name', 'microwave', 'pot', 'animal', 'bicycle', 'lake', 'dishwasher', 'screen', 'blanket', 'sculpture', 'hood', 'sconce', 'vase', 'traffic light', 'tray', 'trash can', 'fan', 'pier', 'crt screen', 'plate', 'monitor', 'bulletin board', 'shower', 'radiator', 'glass', 'clock', 'flag']
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ADE20K_847 = ['wall', 'building', 'sky', 'tree', 'road', 'floor', 'ceiling', 'bed', 'sidewalk', 'earth', 'cabinet', 'person', 'grass', 'windowpane', 'car', 'mountain', 'plant', 'table', 'chair', 'curtain', 'door', 'sofa', 'sea', 'painting', 'water', 'mirror', 'house', 'rug', 'shelf', 'armchair', 'fence', 'field', 'lamp', 'rock', 'seat', 'river', 'desk', 'bathtub', 'railing', 'signboard', 'cushion', 'path', 'work surface', 'stairs', 'column', 'sink', 'wardrobe', 'snow', 'refrigerator', 'base', 'bridge', 'blind', 'runway', 'cliff', 'sand', 'fireplace', 'pillow', 'screen door', 'toilet', 'skyscraper', 'grandstand', 'box', 'pool table', 'palm', 'double door', 'coffee table', 'counter', 'countertop', 'chest of drawers', 'kitchen island', 'boat', 'waterfall', 'stove', 'flower', 'bookcase', 'controls', 'book', 'stairway', 'streetlight', 'computer', 'bus', 'swivel chair', 'light', 'bench', 'case', 'towel', 'fountain', 'embankment', 'television receiver', 'van', 'hill', 'awning', 'poster', 'truck', 'airplane', 'pole', 'tower', 'court', 'ball', 'aircraft carrier', 'buffet', 'hovel', 'apparel', 'minibike', 'animal', 'chandelier', 'step', 'booth', 'bicycle', 'doorframe', 'sconce', 'pond', 'trade name', 'bannister', 'bag', 'traffic light', 'gazebo', 'escalator', 'land', 'board', 'arcade machine', 'eiderdown', 'bar', 'stall', 'playground', 'ship', 'ottoman', 'ashcan', 'bottle', 'cradle', 'pot', 'conveyer belt', 'train', 'stool', 'lake', 'tank', 'ice', 'basket', 'manhole', 'tent', 'canopy', 'microwave', 'barrel', 'dirt track', 'beam', 'dishwasher', 'plate', 'screen', 'ruins', 'washer', 'blanket', 'plaything', 'food', 'screen', 'oven', 'stage', 'beacon', 'umbrella', 'sculpture', 'aqueduct', 'container', 'scaffolding', 'hood', 'curb', 'roller coaster', 'horse', 'catwalk', 'glass', 'vase', 'central reservation', 'carousel', 'radiator', 'closet', 'machine', 'pier', 'fan', 'inflatable bounce game', 'pitch', 'paper', 'arcade', 'hot tub', 'helicopter', 'tray', 'partition', 'vineyard', 'bowl', 'bullring', 'flag', 'pot', 'footbridge', 'shower', 'bag', 'bulletin board', 'confessional booth', 'trunk', 'forest', 'elevator door', 'laptop', 'instrument panel', 'bucket', 'tapestry', 'platform', 'jacket', 'gate', 'monitor', 'telephone booth', 'spotlight', 'ring', 'control panel', 'blackboard', 'air conditioner', 'chest', 'clock', 'sand dune', 'pipe', 'vault', 'table football', 'cannon', 'swimming pool', 'fluorescent', 'statue', 'loudspeaker', 'exhibitor', 'ladder', 'carport', 'dam', 'pulpit', 'skylight', 'water tower', 'grill', 'display board', 'pane', 'rubbish', 'ice rink', 'fruit', 'patio', 'vending machine', 'telephone', 'net', 'backpack', 'jar', 'track', 'magazine', 'shutter', 'roof', 'banner', 'landfill', 'post', 'altarpiece', 'hat', 'arch', 'table game', 'bag', 'document', 'dome', 'pier', 'shanties', 'forecourt', 'crane', 'dog', 'piano', 'drawing', 'cabin', 'ad', 'amphitheater', 'monument', 'henhouse', 'cockpit', 'heater', 'windmill', 'pool', 'elevator', 'decoration', 'labyrinth', 'text', 'printer', 'mezzanine', 'mattress', 'straw', 'stalls', 'patio', 'billboard', 'bus stop', 'trouser', 'console table', 'rack', 'notebook', 'shrine', 'pantry', 'cart', 'steam shovel', 'porch', 'postbox', 'figurine', 'recycling bin', 'folding screen', 'telescope', 'deck chair', 'kennel', 'coffee maker', 'altar', 'fish', 'easel', 'artificial golf green', 'iceberg', 'candlestick', 'shower stall', 'television stand', 'wall socket', 'skeleton', 'grand piano', 'candy', 'grille door', 'pedestal', 'jersey', 'shoe', 'gravestone', 'shanty', 'structure', 'rocking chair', 'bird', 'place mat', 'tomb', 'big top', 'gas pump', 'lockers', 'cage', 'finger', 'bleachers', 'ferris wheel', 'hairdresser chair', 'mat', 'stands', 'aquarium', 'streetcar', 'napkin', 'dummy', 'booklet', 'sand trap', 'shop', 'table cloth', 'service station', 'coffin', 'drawer', 'cages', 'slot machine', 'balcony', 'volleyball court', 'table tennis', 'control table', 'shirt', 'merchandise', 'railway', 'parterre', 'chimney', 'can', 'tanks', 'fabric', 'alga', 'system', 'map', 'greenhouse', 'mug', 'barbecue', 'tr
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SUN_RGBD_37 = ['wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', 'bookshelf', 'picture', 'counter', 'blinds', 'desk', 'shelves', 'curtain', 'dresser', 'pillow', 'mirror', 'floor mat', 'clothes', 'ceiling', 'books', 'refridgerator', 'television', 'paper', 'towel', 'shower curtain', 'box', 'whiteboard', 'person', 'night stand', 'toilet', 'sink', 'lamp', 'bathtub', 'bag']
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SCAN_37 = ['wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', 'bookshelf', 'picture', 'counter', 'blinds', 'desk', 'shelves', 'curtain', 'dresser', 'pillow', 'mirror', 'floor mat', 'clothes', 'ceiling', 'books', 'refridgerator', 'television', 'paper', 'towel', 'shower curtain', 'box', 'whiteboard', 'person', 'night stand', 'toilet', 'sink', 'lamp', 'bathtub', 'bag']
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SCAN_40 = ['wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', 'bookshelf', 'picture', 'counter', 'blinds', 'desk', 'shelves', 'curtain', 'dresser', 'pillow', 'mirror', 'floor mat', 'clothes', 'ceiling', 'books', 'refridgerator', 'television', 'paper', 'towel', 'shower curtain', 'box', 'whiteboard', 'person', 'night stand', 'toilet', 'sink', 'lamp', 'bathtub', 'bag', 'otherstructure', 'otherfurniture', 'otherprop']
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SCAN_20 = ["wall", "floor", "cabinet", "bed", "chair", "sofa", "table", "door", "window", "bookshelf", "picture", "counter", "desk", "curtain", "refrigerator", "shower curtain", "toilet", "sink", "bathtub", "otherfurniture"]
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CITYSCAPES = ['road', 'sidewalk', 'building', 'wall', 'fence', 'pole', 'traffic light', 'traffic sign', 'vegetation', 'terrain', 'sky', 'person', 'rider', 'car', 'truck', 'bus', 'train', 'motorcycle', 'bicycle']
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CITYSCAPES_THING = ["person", "rider", "car", "truck", "bus", "train", "motorcycle", "bicycle"]
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BDD_SEM = ["road", "sidewalk", "building", "wall", "fence", "pole", "traffic light", "traffic sign", "vegetation", "terrain", "sky", "person", "rider", "car", "truck", "bus", "train", "motorcycle", "bicycle"]
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BDD_PANO = ['dynamic', 'ego vehicle', 'ground', 'static', 'parking', 'rail track', 'road', 'sidewalk', 'bridge', 'building', 'fence', 'garage', 'guard rail', 'tunnel', 'wall', 'banner', 'billboard', 'lane divider', 'parking sign', 'pole', 'polegroup', 'street light', 'traffic cone', 'traffic device', 'traffic light', 'traffic sign', 'traffic sign frame', 'terrain', 'vegetation', 'sky', 'person', 'rider', 'bicycle', 'bus', 'car', 'caravan', 'motorcycle', 'trailer', 'train', 'truck']
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IMAGENET_CLASSES = ["tench", "goldfish", "great white shark", "tiger shark", "hammerhead shark", "electric ray", "stingray", "rooster", "hen", "ostrich", "brambling", "goldfinch", "house finch", "junco", "indigo bunting", "American robin", "bulbul", "jay", "magpie", "chickadee", "American dipper", "kite (bird of prey)", "bald eagle", "vulture", "great grey owl", "fire salamander", "smooth newt", "newt", "spotted salamander", "axolotl", "American bullfrog", "tree frog", "tailed frog", "loggerhead sea turtle", "leatherback sea turtle", "mud turtle", "terrapin", "box turtle", "banded gecko", "green iguana", "Carolina anole", "desert grassland whiptail lizard", "agama", "frilled-necked lizard", "alligator lizard", "Gila monster", "European green lizard", "chameleon", "Komodo dragon", "Nile crocodile", "American alligator", "triceratops", "worm snake", "ring-necked snake", "eastern hog-nosed snake", "smooth green snake", "kingsnake", "garter snake", "water snake", "vine snake", "night snake", "boa constrictor", "African rock python", "Indian cobra", "green mamba", "sea snake", "Saharan horned viper", "eastern diamondback rattlesnake", "sidewinder rattlesnake", "trilobite", "harvestman", "scorpion", "yellow garden spider", "barn spider", "European garden spider", "southern black widow", "tarantula", "wolf spider", "tick", "centipede", "black grouse", "ptarmigan", "ruffed grouse", "prairie grouse", "peafowl", "quail", "partridge", "african grey parrot", "macaw", "sulphur-crested cockatoo", "lorikeet", "coucal", "bee eater", "hornbill", "hummingbird", "jacamar", "toucan", "duck", "red-breasted merganser", "goose", "black swan", "tusker", "echidna", "platypus", "wallaby", "koala", "wombat", "jellyfish", "sea anemone", "brain coral", "flatworm", "nematode", "conch", "snail", "slug", "sea slug", "chiton", "chambered nautilus", "Dungeness crab", "rock crab", "fiddler crab", "red king crab", "American lobster", "spiny lobster", "crayfish", "hermit crab", "isopod", "white stork", "black stork", "spoonbill", "flamingo", "little blue heron", "great egret", "bittern bird", "crane bird", "limpkin", "common gallinule", "American coot", "bustard", "ruddy turnstone", "dunlin", "common redshank", "dowitcher", "oystercatcher", "pelican", "king penguin", "albatross", "grey whale", "killer whale", "dugong", "sea lion", "Chihuahua", "Japanese Chin", "Maltese", "Pekingese", "Shih Tzu", "King Charles Spaniel", "Papillon", "toy terrier", "Rhodesian Ridgeback", "Afghan Hound", "Basset Hound", "Beagle", "Bloodhound", "Bluetick Coonhound", "Black and Tan Coonhound", "Treeing Walker Coonhound", "English foxhound", "Redbone Coonhound", "borzoi", "Irish Wolfhound", "Italian Greyhound", "Whippet", "Ibizan Hound", "Norwegian Elkhound", "Otterhound", "Saluki", "Scottish Deerhound", "Weimaraner", "Staffordshire Bull Terrier", "American Staffordshire Terrier", "Bedlington Terrier", "Border Terrier", "Kerry Blue Terrier", "Irish Terrier", "Norfolk Terrier", "Norwich Terrier", "Yorkshire Terrier", "Wire Fox Terrier", "Lakeland Terrier", "Sealyham Terrier", "Airedale Terrier", "Cairn Terrier", "Australian Terrier", "Dandie Dinmont Terrier", "Boston Terrier", "Miniature Schnauzer", "Giant Schnauzer", "Standard Schnauzer", "Scottish Terrier", "Tibetan Terrier", "Australian Silky Terrier", "Soft-coated Wheaten Terrier", "West Highland White Terrier", "Lhasa Apso", "Flat-Coated Retriever", "Curly-coated Retriever", "Golden Retriever", "Labrador Retriever", "Chesapeake Bay Retriever", "German Shorthaired Pointer", "Vizsla", "English Setter", "Irish Setter", "Gordon Setter", "Brittany dog", "Clumber Spaniel", "English Springer Spaniel", "Welsh Springer Spaniel", "Cocker Spaniel", "Sussex Spaniel", "Irish Water Spaniel", "Kuvasz", "Schipperke", "Groenendael dog", "Malinois", "Briard", "Australian Kelpie", "Komondor", "Old English Sheepdog", "Shetland Sheepdog", "collie", "Border Collie", "Bouvier des Flandres dog", "Rottweiler", "German Shepherd Dog", "Dobermann", "Miniature Pinscher", "Greater Swiss Mountain Dog", "Bernese Mountain Dog", "Appenzeller Sennenhund", "Ent
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IMAGENET_FOLDER_NAMES = ['n01440764', 'n01443537', 'n01484850', 'n01491361', 'n01494475', 'n01496331', 'n01498041', 'n01514668', 'n01514859', 'n01518878', 'n01530575', 'n01531178', 'n01532829', 'n01534433', 'n01537544', 'n01558993', 'n01560419', 'n01580077', 'n01582220', 'n01592084', 'n01601694', 'n01608432', 'n01614925', 'n01616318', 'n01622779', 'n01629819', 'n01630670', 'n01631663', 'n01632458', 'n01632777', 'n01641577', 'n01644373', 'n01644900', 'n01664065', 'n01665541', 'n01667114', 'n01667778', 'n01669191', 'n01675722', 'n01677366', 'n01682714', 'n01685808', 'n01687978', 'n01688243', 'n01689811', 'n01692333', 'n01693334', 'n01694178', 'n01695060', 'n01697457', 'n01698640', 'n01704323', 'n01728572', 'n01728920', 'n01729322', 'n01729977', 'n01734418', 'n01735189', 'n01737021', 'n01739381', 'n01740131', 'n01742172', 'n01744401', 'n01748264', 'n01749939', 'n01751748', 'n01753488', 'n01755581', 'n01756291', 'n01768244', 'n01770081', 'n01770393', 'n01773157', 'n01773549', 'n01773797', 'n01774384', 'n01774750', 'n01775062', 'n01776313', 'n01784675', 'n01795545', 'n01796340', 'n01797886', 'n01798484', 'n01806143', 'n01806567', 'n01807496', 'n01817953', 'n01818515', 'n01819313', 'n01820546', 'n01824575', 'n01828970', 'n01829413', 'n01833805', 'n01843065', 'n01843383', 'n01847000', 'n01855032', 'n01855672', 'n01860187', 'n01871265', 'n01872401', 'n01873310', 'n01877812', 'n01882714', 'n01883070', 'n01910747', 'n01914609', 'n01917289', 'n01924916', 'n01930112', 'n01943899', 'n01944390', 'n01945685', 'n01950731', 'n01955084', 'n01968897', 'n01978287', 'n01978455', 'n01980166', 'n01981276', 'n01983481', 'n01984695', 'n01985128', 'n01986214', 'n01990800', 'n02002556', 'n02002724', 'n02006656', 'n02007558', 'n02009229', 'n02009912', 'n02011460', 'n02012849', 'n02013706', 'n02017213', 'n02018207', 'n02018795', 'n02025239', 'n02027492', 'n02028035', 'n02033041', 'n02037110', 'n02051845', 'n02056570', 'n02058221', 'n02066245', 'n02071294', 'n02074367', 'n02077923', 'n02085620', 'n02085782', 'n02085936', 'n02086079', 'n02086240', 'n02086646', 'n02086910', 'n02087046', 'n02087394', 'n02088094', 'n02088238', 'n02088364', 'n02088466', 'n02088632', 'n02089078', 'n02089867', 'n02089973', 'n02090379', 'n02090622', 'n02090721', 'n02091032', 'n02091134', 'n02091244', 'n02091467', 'n02091635', 'n02091831', 'n02092002', 'n02092339', 'n02093256', 'n02093428', 'n02093647', 'n02093754', 'n02093859', 'n02093991', 'n02094114', 'n02094258', 'n02094433', 'n02095314', 'n02095570', 'n02095889', 'n02096051', 'n02096177', 'n02096294', 'n02096437', 'n02096585', 'n02097047', 'n02097130', 'n02097209', 'n02097298', 'n02097474', 'n02097658', 'n02098105', 'n02098286', 'n02098413', 'n02099267', 'n02099429', 'n02099601', 'n02099712', 'n02099849', 'n02100236', 'n02100583', 'n02100735', 'n02100877', 'n02101006', 'n02101388', 'n02101556', 'n02102040', 'n02102177', 'n02102318', 'n02102480', 'n02102973', 'n02104029', 'n02104365', 'n02105056', 'n02105162', 'n02105251', 'n02105412', 'n02105505', 'n02105641', 'n02105855', 'n02106030', 'n02106166', 'n02106382', 'n02106550', 'n02106662', 'n02107142', 'n02107312', 'n02107574', 'n02107683', 'n02107908', 'n02108000', 'n02108089', 'n02108422', 'n02108551', 'n02108915', 'n02109047', 'n02109525', 'n02109961', 'n02110063', 'n02110185', 'n02110341', 'n02110627', 'n02110806', 'n02110958', 'n02111129', 'n02111277', 'n02111500', 'n02111889', 'n02112018', 'n02112137', 'n02112350', 'n02112706', 'n02113023', 'n02113186', 'n02113624', 'n02113712', 'n02113799', 'n02113978', 'n02114367', 'n02114548', 'n02114712', 'n02114855', 'n02115641', 'n02115913', 'n02116738', 'n02117135', 'n02119022', 'n02119789', 'n02120079', 'n02120505', 'n02123045', 'n02123159', 'n02123394', 'n02123597', 'n02124075', 'n02125311', 'n02127052', 'n02128385', 'n02128757', 'n02128925', 'n02129165', 'n02129604', 'n02130308', 'n02132136', 'n02133161', 'n02134084', 'n02134418', 'n02137549', 'n02138441', 'n02165105', 'n02165456', 'n02167151', 'n02168699', 'n02169497', 'n02172182', 'n02174001', 'n02177972', 'n02190166', 'n02206856', 'n02219486', 'n02226429', 'n02229544', '
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IMAGENET_DEFAULT_TEMPLATES = [
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'{}.',
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'a bad photo of a {}.',
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'a photo of many {}.',
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'a sculpture of a {}.',
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'a photo of the hard to see {}.',
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'a low resolution photo of the {}.',
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'a rendering of a {}.',
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'graffiti of a {}.',
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'a bad photo of the {}.',
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'a cropped photo of the {}.',
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'a tattoo of a {}.',
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'the embroidered {}.',
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'a photo of a hard to see {}.',
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'a bright photo of a {}.',
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'a photo of a clean {}.',
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'a photo of a dirty {}.',
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'a dark photo of the {}.',
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'a drawing of a {}.',
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'a photo of my {}.',
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'the plastic {}.',
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'a photo of the cool {}.',
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'a close-up photo of a {}.',
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'a black and white photo of the {}.',
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'a painting of the {}.',
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'a painting of a {}.',
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'a pixelated photo of the {}.',
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'a sculpture of the {}.',
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'a bright photo of the {}.',
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'a cropped photo of a {}.',
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'a plastic {}.',
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'a photo of the dirty {}.',
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'a jpeg corrupted photo of a {}.',
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'a blurry photo of the {}.',
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'a photo of the {}.',
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'a good photo of the {}.',
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'a rendering of the {}.',
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'a {} in a video game.',
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'a photo of one {}.',
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'a doodle of a {}.',
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'a close-up photo of the {}.',
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'a photo of a {}.',
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'the origami {}.',
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|
'the {} in a video game.',
|
||
|
|
'a sketch of a {}.',
|
||
|
|
'a doodle of the {}.',
|
||
|
|
'a origami {}.',
|
||
|
|
'a low resolution photo of a {}.',
|
||
|
|
'the toy {}.',
|
||
|
|
'a rendition of the {}.',
|
||
|
|
'a photo of the clean {}.',
|
||
|
|
'a photo of a large {}.',
|
||
|
|
'a rendition of a {}.',
|
||
|
|
'a photo of a nice {}.',
|
||
|
|
'a photo of a weird {}.',
|
||
|
|
'a blurry photo of a {}.',
|
||
|
|
'a cartoon {}.',
|
||
|
|
'art of a {}.',
|
||
|
|
'a sketch of the {}.',
|
||
|
|
'a embroidered {}.',
|
||
|
|
'a pixelated photo of a {}.',
|
||
|
|
'itap of the {}.',
|
||
|
|
'a jpeg corrupted photo of the {}.',
|
||
|
|
'a good photo of a {}.',
|
||
|
|
'a plushie {}.',
|
||
|
|
'a photo of the nice {}.',
|
||
|
|
'a photo of the small {}.',
|
||
|
|
'a photo of the weird {}.',
|
||
|
|
'the cartoon {}.',
|
||
|
|
'art of the {}.',
|
||
|
|
'a drawing of the {}.',
|
||
|
|
'a photo of the large {}.',
|
||
|
|
'a black and white photo of a {}.',
|
||
|
|
'the plushie {}.',
|
||
|
|
'a dark photo of a {}.',
|
||
|
|
'itap of a {}.',
|
||
|
|
'graffiti of the {}.',
|
||
|
|
'a toy {}.',
|
||
|
|
'itap of my {}.',
|
||
|
|
'a photo of a cool {}.',
|
||
|
|
'a photo of a small {}.',
|
||
|
|
'a tattoo of the {}.',
|
||
|
|
]
|
||
|
|
|
||
|
|
IMAGENET_SIMPLE_TEMPLATES = [
|
||
|
|
'a photo of {}.',
|
||
|
|
]
|
||
|
|
|
||
|
|
PASCAL_CLASSES = [
|
||
|
|
"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat",
|
||
|
|
"chair", "cow", "diningtable", "dog", "horse", "motorbike", "person",
|
||
|
|
"pottedplant", "sheep", "sofa", "train", "tvmonitor"
|
||
|
|
]
|