| """Quick, Draw! Data Set""" |
|
|
|
|
| import numpy as np |
|
|
| import datasets |
|
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|
| _CITATION = """\ |
| @article{DBLP:journals/corr/HaE17, |
| author = {David Ha and |
| Douglas Eck}, |
| title = {A Neural Representation of Sketch Drawings}, |
| journal = {CoRR}, |
| volume = {abs/1704.03477}, |
| year = {2017}, |
| url = {http://arxiv.org/abs/1704.03477}, |
| archivePrefix = {arXiv}, |
| eprint = {1704.03477}, |
| timestamp = {Mon, 13 Aug 2018 16:48:30 +0200}, |
| biburl = {https://dblp.org/rec/bib/journals/corr/HaE17}, |
| bibsource = {dblp computer science bibliography, https://dblp.org} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. |
| """ |
|
|
| _URL = "https://storage.googleapis.com/quickdraw_dataset/full/numpy_bitmap/" |
| _CLASSES = [ |
| "aircraft carrier", |
| "airplane", |
| "alarm clock", |
| "ambulance", |
| "angel", |
| "animal migration", |
| "ant", |
| "anvil", |
| "apple", |
| "arm", |
| "asparagus", |
| "axe", |
| "backpack", |
| "banana", |
| "bandage", |
| "barn", |
| "baseball", |
| "baseball bat", |
| "basket", |
| "basketball", |
| "bat", |
| "bathtub", |
| "beach", |
| "bear", |
| "beard", |
| "bed", |
| "bee", |
| "belt", |
| "bench", |
| "bicycle", |
| "binoculars", |
| "bird", |
| "birthday cake", |
| "blackberry", |
| "blueberry", |
| "book", |
| "boomerang", |
| "bottlecap", |
| "bowtie", |
| "bracelet", |
| "brain", |
| "bread", |
| "bridge", |
| "broccoli", |
| "broom", |
| "bucket", |
| "bulldozer", |
| "bus", |
| "bush", |
| "butterfly", |
| "cactus", |
| "cake", |
| "calculator", |
| "calendar", |
| "camel", |
| "camera", |
| "camouflage", |
| "campfire", |
| "candle", |
| "cannon", |
| "canoe", |
| "car", |
| "carrot", |
| "castle", |
| "cat", |
| "ceiling fan", |
| "cello", |
| "cell phone", |
| "chair", |
| "chandelier", |
| "church", |
| "circle", |
| "clarinet", |
| "clock", |
| "cloud", |
| "coffee cup", |
| "compass", |
| "computer", |
| "cookie", |
| "cooler", |
| "couch", |
| "cow", |
| "crab", |
| "crayon", |
| "crocodile", |
| "crown", |
| "cruise ship", |
| "cup", |
| "diamond", |
| "dishwasher", |
| "diving board", |
| "dog", |
| "dolphin", |
| "donut", |
| "door", |
| "dragon", |
| "dresser", |
| "drill", |
| "drums", |
| "duck", |
| "dumbbell", |
| "ear", |
| "elbow", |
| "elephant", |
| "envelope", |
| "eraser", |
| "eye", |
| "eyeglasses", |
| "face", |
| "fan", |
| "feather", |
| "fence", |
| "finger", |
| "fire hydrant", |
| "fireplace", |
| "firetruck", |
| "fish", |
| "flamingo", |
| "flashlight", |
| "flip flops", |
| "floor lamp", |
| "flower", |
| "flying saucer", |
| "foot", |
| "fork", |
| "frog", |
| "frying pan", |
| "garden", |
| "garden hose", |
| "giraffe", |
| "goatee", |
| "golf club", |
| "grapes", |
| "grass", |
| "guitar", |
| "hamburger", |
| "hammer", |
| "hand", |
| "harp", |
| "hat", |
| "headphones", |
| "hedgehog", |
| "helicopter", |
| "helmet", |
| "hexagon", |
| "hockey puck", |
| "hockey stick", |
| "horse", |
| "hospital", |
| "hot air balloon", |
| "hot dog", |
| "hot tub", |
| "hourglass", |
| "house", |
| "house plant", |
| "hurricane", |
| "ice cream", |
| "jacket", |
| "jail", |
| "kangaroo", |
| "key", |
| "keyboard", |
| "knee", |
| "knife", |
| "ladder", |
| "lantern", |
| "laptop", |
| "leaf", |
| "leg", |
| "light bulb", |
| "lighter", |
| "lighthouse", |
| "lightning", |
| "line", |
| "lion", |
| "lipstick", |
| "lobster", |
| "lollipop", |
| "mailbox", |
| "map", |
| "marker", |
| "matches", |
| "megaphone", |
| "mermaid", |
| "microphone", |
| "microwave", |
| "monkey", |
| "moon", |
| "mosquito", |
| "motorbike", |
| "mountain", |
| "mouse", |
| "moustache", |
| "mouth", |
| "mug", |
| "mushroom", |
| "nail", |
| "necklace", |
| "nose", |
| "ocean", |
| "octagon", |
| "octopus", |
| "onion", |
| "oven", |
| "owl", |
| "paintbrush", |
| "paint can", |
| "palm tree", |
| "panda", |
| "pants", |
| "paper clip", |
| "parachute", |
| "parrot", |
| "passport", |
| "peanut", |
| "pear", |
| "peas", |
| "pencil", |
| "penguin", |
| "piano", |
| "pickup truck", |
| "picture frame", |
| "pig", |
| "pillow", |
| "pineapple", |
| "pizza", |
| "pliers", |
| "police car", |
| "pond", |
| "pool", |
| "popsicle", |
| "postcard", |
| "potato", |
| "power outlet", |
| "purse", |
| "rabbit", |
| "raccoon", |
| "radio", |
| "rain", |
| "rainbow", |
| "rake", |
| "remote control", |
| "rhinoceros", |
| "rifle", |
| "river", |
| "roller coaster", |
| "rollerskates", |
| "sailboat", |
| "sandwich", |
| "saw", |
| "saxophone", |
| "school bus", |
| "scissors", |
| "scorpion", |
| "screwdriver", |
| "sea turtle", |
| "see saw", |
| "shark", |
| "sheep", |
| "shoe", |
| "shorts", |
| "shovel", |
| "sink", |
| "skateboard", |
| "skull", |
| "skyscraper", |
| "sleeping bag", |
| "smiley face", |
| "snail", |
| "snake", |
| "snorkel", |
| "snowflake", |
| "snowman", |
| "soccer ball", |
| "sock", |
| "speedboat", |
| "spider", |
| "spoon", |
| "spreadsheet", |
| "square", |
| "squiggle", |
| "squirrel", |
| "stairs", |
| "star", |
| "steak", |
| "stereo", |
| "stethoscope", |
| "stitches", |
| "stop sign", |
| "stove", |
| "strawberry", |
| "streetlight", |
| "string bean", |
| "submarine", |
| "suitcase", |
| "sun", |
| "swan", |
| "sweater", |
| "swing set", |
| "sword", |
| "syringe", |
| "table", |
| "teapot", |
| "teddy-bear", |
| "telephone", |
| "television", |
| "tennis racquet", |
| "tent", |
| "The Eiffel Tower", |
| "The Great Wall of China", |
| "The Mona Lisa", |
| "tiger", |
| "toaster", |
| "toe", |
| "toilet", |
| "tooth", |
| "toothbrush", |
| "toothpaste", |
| "tornado", |
| "tractor", |
| "traffic light", |
| "train", |
| "tree", |
| "triangle", |
| "trombone", |
| "truck", |
| "trumpet", |
| "t-shirt", |
| "umbrella", |
| "underwear", |
| "van", |
| "vase", |
| "violin", |
| "washing machine", |
| "watermelon", |
| "waterslide", |
| "whale", |
| "wheel", |
| "windmill", |
| "wine bottle", |
| "wine glass", |
| "wristwatch", |
| "yoga", |
| "zebra", |
| "zigzag", |
| ] |
|
|
|
|
| class QuickDraw(datasets.GeneratorBasedBuilder): |
| """QuickDraw Data Set""" |
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name="quickdraw", |
| version=datasets.Version("1.0.0"), |
| description=_DESCRIPTION, |
| ) |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "image": datasets.Image(), |
| "label": datasets.features.ClassLabel(names=_CLASSES), |
| } |
| ), |
| supervised_keys=("image", "label"), |
| homepage="https://github.com/googlecreativelab/quickdraw-dataset", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| urls_to_download = {c: _URL + c + ".npy" for c in _CLASSES} |
| downloaded_files = dl_manager.download_and_extract(urls_to_download) |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={ |
| "filepaths": [downloaded_files[c] for c in _CLASSES], |
| "labels": _CLASSES |
| } |
| ) |
| ] |
|
|
| def _generate_examples(self, filepaths, labels): |
| """This function returns the examples in the raw form.""" |
|
|
| for filepath, label in zip(filepaths, labels): |
| data = np.load(filepath, mmap_mode='r') |
|
|
| for i, ex in enumerate(data): |
| yield i, {"image": ex.reshape(28, 28), "label": label} |
|
|
