def voc_labels():
return [
'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat',
'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person',
'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor'
]
def det_labels():
return [
'accordion', 'airplane', 'ant', 'antelope', 'apple', 'armadillo',
'artichoke', 'axe', 'baby_bed', 'backpack', 'bagel', 'balance_beam',
'banana', 'band_aid', 'banjo', 'baseball', 'basketball', 'bathing_cap',
'beaker', 'bear', 'bee', 'bell_pepper', 'bench', 'bicycle', 'binder',
'bird', 'bookshelf', 'bow_tie', 'bow', 'bowl', 'brassiere', 'burrito',
'bus', 'butterfly', 'camel', 'can_opener', 'car', 'cart', 'cattle',
'cello', 'centipede', 'chain_saw', 'chair', 'chime', 'cocktail_shaker',
'coffee_maker', 'computer_keyboard', 'computer_mouse', 'corkscrew',
'cream', 'croquet_ball', 'crutch', 'cucumber', 'cup_or_mug', 'diaper',
'digital_clock', 'dishwasher', 'dog', 'domestic_cat', 'dragonfly',
'drum', 'dumbbell', 'electric_fan', 'elephant', 'face_powder', 'fig',
'filing_cabinet', 'flower_pot', 'flute', 'fox', 'french_horn', 'frog',
'frying_pan', 'giant_panda', 'goldfish', 'golf_ball', 'golfcart',
'guacamole', 'guitar', 'hair_dryer', 'hair_spray', 'hamburger',
'hammer', 'hamster', 'harmonica', 'harp', 'hat_with_a_wide_brim',
'head_cabbage', 'helmet', 'hippopotamus', 'horizontal_bar', 'horse',
'hotdog', 'iPod', 'isopod', 'jellyfish', 'koala_bear', 'ladle',
'ladybug', 'lamp', 'laptop', 'lemon', 'lion', 'lipstick', 'lizard',
'lobster', 'maillot', 'maraca', 'microphone', 'microwave', 'milk_can',
'miniskirt', 'monkey', 'motorcycle', 'mushroom', 'nail', 'neck_brace',
'oboe', 'orange', 'otter', 'pencil_box', 'pencil_sharpener', 'perfume',
'person', 'piano', 'pineapple', 'ping-pong_ball', 'pitcher', 'pizza',
'plastic_bag', 'plate_rack', 'pomegranate', 'popsicle', 'porcupine',
'power_drill', 'pretzel', 'printer', 'puck', 'punching_bag', 'purse',
'rabbit', 'racket', 'ray', 'red_panda', 'refrigerator',
'remote_control', 'rubber_eraser', 'rugby_ball', 'ruler',
'salt_or_pepper_shaker', 'saxophone', 'scorpion', 'screwdriver',
'seal', 'sheep', 'ski', 'skunk', 'snail', 'snake', 'snowmobile',
'snowplow', 'soap_dispenser', 'soccer_ball', 'sofa', 'spatula',
'squirrel', 'starfish', 'stethoscope', 'stove', 'strainer',
'strawberry', 'stretcher', 'sunglasses', 'swimming_trunks', 'swine',
'syringe', 'table', 'tape_player', 'tennis_ball', 'tick', 'tie',
'tiger', 'toaster', 'traffic_light', 'train', 'trombone', 'trumpet',
'turtle', 'tv_or_monitor', 'unicycle', 'vacuum', 'violin',
'volleyball', 'waffle_iron', 'washer', 'water_bottle', 'watercraft',
'whale', 'wine_bottle', 'zebra'
]
def vid_labels():
return [
'airplane', 'antelope', 'bear', 'bicycle', 'bird', 'bus', 'car',
'cattle', 'dog', 'domestic_cat', 'elephant', 'fox', 'giant_panda',
'hamster', 'horse', 'lion', 'lizard', 'monkey', 'motorcycle', 'rabbit',
'red_panda', 'sheep', 'snake', 'squirrel', 'tiger', 'train', 'turtle',
'watercraft', 'whale', 'zebra'
]
def coco_labels():
return [
'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'
]
[docs]def read_labels(dataset_or_file):
"""Read labels from file or list"""
dataset_aliases = {
'voc': ['voc', 'pascal_voc', 'voc07', 'voc12'],
'det': ['det', 'imagenet_det', 'ilsvrc_det'],
'vid': ['vid', 'imagenet_vid', 'ilsvrc_vid'],
'coco': ['coco', 'ms_coco']
}
name_map = {}
for name, aliases in dataset_aliases.items():
for alias in aliases:
name_map[alias] = name
if isinstance(dataset_or_file, str):
if dataset_or_file in name_map:
labels = eval(name_map[dataset_or_file] + '_labels()')
else:
try:
with open(dataset_or_file, 'r') as fin:
labels = [line.rstrip('\n') for line in fin]
except:
raise ValueError(
'Unrecognized dataset: "{}", it is neither a dataset name'
' or filename'.format(dataset_or_file))
elif isinstance(dataset_or_file, list):
labels = dataset_or_file
else:
raise TypeError('"dataset_or_file" should be a str or list, not "{}"'.
format(type(dataset_or_file)))
return labels