script.js

MODEL_PATH = 'mobilenetv2.tflite';

async function start() {
  //////////////////////////////////////////////////////////////////////////////
  // Create the model runner with the model.

  const startTs = Date.now();

  // Load WASM module and model.
  const [module, modelArrayBuffer] = await Promise.all([
    tflite_model_runner_ModuleFactory(),
    (await fetch(MODEL_PATH)).arrayBuffer(),
  ]);
  const modelBytes = new Uint8Array(modelArrayBuffer);
  const offset = module._malloc(modelBytes.length);
  module.HEAPU8.set(modelBytes, offset);

  // Create model runner.
  const modelRunnerResult =
      module.TFLiteWebModelRunner.CreateFromBufferAndOptions(
          offset, modelBytes.length, {
            numThreads: Math.min(
                4, Math.max(1, (navigator.hardwareConcurrency || 1) / 2))
          });
  if (!modelRunnerResult.ok()) {
    throw new Error(
        'Failed to create TFLiteWebModelRunner: ' + modelRunner.errorMessage());
  }
  const modelRunner = modelRunnerResult.value();
  const loadFinishedMs = Date.now() - startTs;
  document.querySelector('.loading-stats').textContent =
      `Loaded WASM module and TFLite model ${MODEL_PATH} in ${
          loadFinishedMs}ms`;
  document.querySelector('.content').classList.remove('hide');



  //////////////////////////////////////////////////////////////////////////////
  // Get input and output info.

  const inputs = callAndDelete(
      modelRunner.GetInputs(), results => convertCppVectorToArray(results));
  const input = inputs[0];
  const outputs = callAndDelete(
      modelRunner.GetOutputs(), results => convertCppVectorToArray(results));
  const output = outputs[0];



  //////////////////////////////////////////////////////////////////////////////
  // Set input tensor data from the image (224 x 224 x 3).

  const {vals, width, height} = fromPixels(document.querySelector('img'));
  if (!vals) return;
  const inputBuffer = input.data();
  const inputData = new Float32Array(inputBuffer.length);
  let pixelIndex = 0;
  for (let i = 0; i < width; i++) {
    for (let j = 0; j < height; j++) {
      const valStartIndex = pixelIndex * 4;
      const inputIndex = pixelIndex * 3;
      inputData[inputIndex] = (vals[valStartIndex] - 127.5) / 127.5;
      inputData[inputIndex + 1] = (vals[valStartIndex + 1] - 127.5) / 127.5;
      inputData[inputIndex + 2] = (vals[valStartIndex + 2] - 127.5) / 127.5;
      pixelIndex += 1;
    }
  }
  inputBuffer.set(inputData);



  //////////////////////////////////////////////////////////////////////////////
  // Infer, get output tensor, and sort by logit values in reverse.

  const inferStart = Date.now();
  const success = modelRunner.Infer();
  const inferLatency = Date.now() - inferStart;
  if (!success) return;
  const result = Array.from(output.data());
  result.shift();  // Remove the first logit which is the background noise.
  const sortedResult = result
                           .map((logit, i) => {
                             return {i, logit};
                           })
                           .sort((a, b) => b.logit - a.logit);

  //////////////////////////////////////////////////////////////////////////////
  // Show result.

  const classIndex = sortedResult[0].i;
  const score = sortedResult[0].logit;
  document.querySelector('.result').textContent =
      `${IMAGENET_CLASSES[classIndex]} (score: ${score.toFixed(3)}, latency: ${
          inferLatency}ms)`;
}

start();


////////////////////////////////////////////////////////////////////////////////
// Helper functions.

let fromPixels2DContext;

/** Gets the raw pixel data from the given HTML element. */
function fromPixels(pixels) {
  if (pixels == null) {
    throw new Error('pixels passed to fromPixels() can not be null');
  }
  let isImageData = false;
  let isVideo = false;
  let isImage = false;
  let isCanvasLike = false;
  if (typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {
    isImageData = true;
  } else if (
      typeof (HTMLVideoElement) !== 'undefined' &&
      pixels instanceof HTMLVideoElement) {
    isVideo = true;
  } else if (
      typeof (HTMLImageElement) !== 'undefined' &&
      pixels instanceof HTMLImageElement) {
    isImage = true;
    // tslint:disable-next-line: no-any
  } else if (pixels.getContext != null) {
    isCanvasLike = true;
  } else {
    throw new Error(
        'pixels passed to fromPixels() must be either an ' +
        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +
        `in browser, or OffscreenCanvas, ImageData in webworker` +
        ` or {data: Uint32Array, width: number, height: number}, ` +
        `but was ${pixels.constructor.name}`);
  }
  if (isVideo) {
    const HAVE_CURRENT_DATA_READY_STATE = 2;
    if (isVideo && pixels.readyState < HAVE_CURRENT_DATA_READY_STATE) {
      throw new Error(
          'The video element has not loaded data yet. Please wait for ' +
          '`loadeddata` event on the <video> element.');
    }
  }
  const [width, height] = isVideo ? [pixels.videoWidth, pixels.videoHeight] :
                                    [pixels.width, pixels.height];
  let vals;

  if (isCanvasLike) {
    vals =
        // tslint:disable-next-line:no-any
        pixels.getContext('2d').getImageData(0, 0, width, height).data;
  } else if (isImageData) {
    vals = pixels.data;
  } else if (isImage || isVideo) {
    if (fromPixels2DContext == null) {
      fromPixels2DContext = document.createElement('canvas').getContext('2d');
    }
    fromPixels2DContext.canvas.width = width;
    fromPixels2DContext.canvas.height = height;
    fromPixels2DContext.drawImage(pixels, 0, 0, width, height);
    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;
  }
  return {vals, width, height};
}

/** Converts the given c++ vector to a JS array. */
function convertCppVectorToArray(vector) {
  if (vector == null) return [];

  const result = [];
  for (let i = 0; i < vector.size(); i++) {
    const item = vector.get(i);
    result.push(item);
  }
  return result;
}

/**
 * Calls the given function with the given deletable argument, ensuring that
 * the argument gets deleted afterwards (even if the function throws an error).
 */
function callAndDelete(arg, func) {
  try {
    return func(arg);
  } finally {
    if (arg != null) arg.delete();
  }
}

const IMAGENET_CLASSES = {
  0: 'tench, Tinca tinca',
  1: 'goldfish, Carassius auratus',
  2: 'great white shark, white shark, man-eater, man-eating shark, ' +
      'Carcharodon carcharias',
  3: 'tiger shark, Galeocerdo cuvieri',
  4: 'hammerhead, hammerhead shark',
  5: 'electric ray, crampfish, numbfish, torpedo',
  6: 'stingray',
  7: 'cock',
  8: 'hen',
  9: 'ostrich, Struthio camelus',
  10: 'brambling, Fringilla montifringilla',
  11: 'goldfinch, Carduelis carduelis',
  12: 'house finch, linnet, Carpodacus mexicanus',
  13: 'junco, snowbird',
  14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
  15: 'robin, American robin, Turdus migratorius',
  16: 'bulbul',
  17: 'jay',
  18: 'magpie',
  19: 'chickadee',
  20: 'water ouzel, dipper',
  21: 'kite',
  22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
  23: 'vulture',
  24: 'great grey owl, great gray owl, Strix nebulosa',
  25: 'European fire salamander, Salamandra salamandra',
  26: 'common newt, Triturus vulgaris',
  27: 'eft',
  28: 'spotted salamander, Ambystoma maculatum',
  29: 'axolotl, mud puppy, Ambystoma mexicanum',
  30: 'bullfrog, Rana catesbeiana',
  31: 'tree frog, tree-frog',
  32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
  33: 'loggerhead, loggerhead turtle, Caretta caretta',
  34: 'leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea',
  35: 'mud turtle',
  36: 'terrapin',
  37: 'box turtle, box tortoise',
  38: 'banded gecko',
  39: 'common iguana, iguana, Iguana iguana',
  40: 'American chameleon, anole, Anolis carolinensis',
  41: 'whiptail, whiptail lizard',
  42: 'agama',
  43: 'frilled lizard, Chlamydosaurus kingi',
  44: 'alligator lizard',
  45: 'Gila monster, Heloderma suspectum',
  46: 'green lizard, Lacerta viridis',
  47: 'African chameleon, Chamaeleo chamaeleon',
  48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, ' +
      'Varanus komodoensis',
  49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
  50: 'American alligator, Alligator mississipiensis',
  51: 'triceratops',
  52: 'thunder snake, worm snake, Carphophis amoenus',
  53: 'ringneck snake, ring-necked snake, ring snake',
  54: 'hognose snake, puff adder, sand viper',
  55: 'green snake, grass snake',
  56: 'king snake, kingsnake',
  57: 'garter snake, grass snake',
  58: 'water snake',
  59: 'vine snake',
  60: 'night snake, Hypsiglena torquata',
  61: 'boa constrictor, Constrictor constrictor',
  62: 'rock python, rock snake, Python sebae',
  63: 'Indian cobra, Naja naja',
  64: 'green mamba',
  65: 'sea snake',
  66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
  67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
  68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
  69: 'trilobite',
  70: 'harvestman, daddy longlegs, Phalangium opilio',
  71: 'scorpion',
  72: 'black and gold garden spider, Argiope aurantia',
  73: 'barn spider, Araneus cavaticus',
  74: 'garden spider, Aranea diademata',
  75: 'black widow, Latrodectus mactans',
  76: 'tarantula',
  77: 'wolf spider, hunting spider',
  78: 'tick',
  79: 'centipede',
  80: 'black grouse',
  81: 'ptarmigan',
  82: 'ruffed grouse, partridge, Bonasa umbellus',
  83: 'prairie chicken, prairie grouse, prairie fowl',
  84: 'peacock',
  85: 'quail',
  86: 'partridge',
  87: 'African grey, African gray, Psittacus erithacus',
  88: 'macaw',
  89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
  90: 'lorikeet',
  91: 'coucal',
  92: 'bee eater',
  93: 'hornbill',
  94: 'hummingbird',
  95: 'jacamar',
  96: 'toucan',
  97: 'drake',
  98: 'red-breasted merganser, Mergus serrator',
  99: 'goose',
  100: 'black swan, Cygnus atratus',
  101: 'tusker',
  102: 'echidna, spiny anteater, anteater',
  103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, ' +
      'Ornithorhynchus anatinus',
  104: 'wallaby, brush kangaroo',
  105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
  106: 'wombat',
  107: 'jelly fish',
  108: 'sea anemone, anemone',
  109: 'brain coral',
  110: 'flatworm, platyhelminth',
  111: 'nematode, nematode worm, roundworm',
  112: 'conch',
  113: 'snail',
  114: 'slug',
  115: 'sea slug, nudibranch',
  116: 'chiton, coat-of-mail shell, sea cradle, polyplacophore',
  117: 'chambered nautilus, pearly nautilus, nautilus',
  118: 'Dungeness crab, Cancer magister',
  119: 'rock crab, Cancer irroratus',
  120: 'fiddler crab',
  121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, ' +
      'Paralithodes camtschatica',
  122: 'American lobster, Northern lobster, Maine lobster, Homarus americanus',
  123: 'spiny lobster, langouste, rock lobster, crawfish, crayfish, sea ' +
      'crawfish',
  124: 'crayfish, crawfish, crawdad, crawdaddy',
  125: 'hermit crab',
  126: 'isopod',
  127: 'white stork, Ciconia ciconia',
  128: 'black stork, Ciconia nigra',
  129: 'spoonbill',
  130: 'flamingo',
  131: 'little blue heron, Egretta caerulea',
  132: 'American egret, great white heron, Egretta albus',
  133: 'bittern',
  134: 'crane',
  135: 'limpkin, Aramus pictus',
  136: 'European gallinule, Porphyrio porphyrio',
  137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
  138: 'bustard',
  139: 'ruddy turnstone, Arenaria interpres',
  140: 'red-backed sandpiper, dunlin, Erolia alpina',
  141: 'redshank, Tringa totanus',
  142: 'dowitcher',
  143: 'oystercatcher, oyster catcher',
  144: 'pelican',
  145: 'king penguin, Aptenodytes patagonica',
  146: 'albatross, mollymawk',
  147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, ' +
      'Eschrichtius robustus',
  148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
  149: 'dugong, Dugong dugon',
  150: 'sea lion',
  151: 'Chihuahua',
  152: 'Japanese spaniel',
  153: 'Maltese dog, Maltese terrier, Maltese',
  154: 'Pekinese, Pekingese, Peke',
  155: 'Shih-Tzu',
  156: 'Blenheim spaniel',
  157: 'papillon',
  158: 'toy terrier',
  159: 'Rhodesian ridgeback',
  160: 'Afghan hound, Afghan',
  161: 'basset, basset hound',
  162: 'beagle',
  163: 'bloodhound, sleuthhound',
  164: 'bluetick',
  165: 'black-and-tan coonhound',
  166: 'Walker hound, Walker foxhound',
  167: 'English foxhound',
  168: 'redbone',
  169: 'borzoi, Russian wolfhound',
  170: 'Irish wolfhound',
  171: 'Italian greyhound',
  172: 'whippet',
  173: 'Ibizan hound, Ibizan Podenco',
  174: 'Norwegian elkhound, elkhound',
  175: 'otterhound, otter hound',
  176: 'Saluki, gazelle hound',
  177: 'Scottish deerhound, deerhound',
  178: 'Weimaraner',
  179: 'Staffordshire bullterrier, Staffordshire bull terrier',
  180: 'American Staffordshire terrier, Staffordshire terrier, American pit ' +
      'bull terrier, pit bull terrier',
  181: 'Bedlington terrier',
  182: 'Border terrier',
  183: 'Kerry blue terrier',
  184: 'Irish terrier',
  185: 'Norfolk terrier',
  186: 'Norwich terrier',
  187: 'Yorkshire terrier',
  188: 'wire-haired fox terrier',
  189: 'Lakeland terrier',
  190: 'Sealyham terrier, Sealyham',
  191: 'Airedale, Airedale terrier',
  192: 'cairn, cairn terrier',
  193: 'Australian terrier',
  194: 'Dandie Dinmont, Dandie Dinmont terrier',
  195: 'Boston bull, Boston terrier',
  196: 'miniature schnauzer',
  197: 'giant schnauzer',
  198: 'standard schnauzer',
  199: 'Scotch terrier, Scottish terrier, Scottie',
  200: 'Tibetan terrier, chrysanthemum dog',
  201: 'silky terrier, Sydney silky',
  202: 'soft-coated wheaten terrier',
  203: 'West Highland white terrier',
  204: 'Lhasa, Lhasa apso',
  205: 'flat-coated retriever',
  206: 'curly-coated retriever',
  207: 'golden retriever',
  208: 'Labrador retriever',
  209: 'Chesapeake Bay retriever',
  210: 'German short-haired pointer',
  211: 'vizsla, Hungarian pointer',
  212: 'English setter',
  213: 'Irish setter, red setter',
  214: 'Gordon setter',
  215: 'Brittany spaniel',
  216: 'clumber, clumber spaniel',
  217: 'English springer, English springer spaniel',
  218: 'Welsh springer spaniel',
  219: 'cocker spaniel, English cocker spaniel, cocker',
  220: 'Sussex spaniel',
  221: 'Irish water spaniel',
  222: 'kuvasz',
  223: 'schipperke',
  224: 'groenendael',
  225: 'malinois',
  226: 'briard',
  227: 'kelpie',
  228: 'komondor',
  229: 'Old English sheepdog, bobtail',
  230: 'Shetland sheepdog, Shetland sheep dog, Shetland',
  231: 'collie',
  232: 'Border collie',
  233: 'Bouvier des Flandres, Bouviers des Flandres',
  234: 'Rottweiler',
  235: 'German shepherd, German shepherd dog, German police dog, alsatian',
  236: 'Doberman, Doberman pinscher',
  237: 'miniature pinscher',
  238: 'Greater Swiss Mountain dog',
  239: 'Bernese mountain dog',
  240: 'Appenzeller',
  241: 'EntleBucher',
  242: 'boxer',
  243: 'bull mastiff',
  244: 'Tibetan mastiff',
  245: 'French bulldog',
  246: 'Great Dane',
  247: 'Saint Bernard, St Bernard',
  248: 'Eskimo dog, husky',
  249: 'malamute, malemute, Alaskan malamute',
  250: 'Siberian husky',
  251: 'dalmatian, coach dog, carriage dog',
  252: 'affenpinscher, monkey pinscher, monkey dog',
  253: 'basenji',
  254: 'pug, pug-dog',
  255: 'Leonberg',
  256: 'Newfoundland, Newfoundland dog',
  257: 'Great Pyrenees',
  258: 'Samoyed, Samoyede',
  259: 'Pomeranian',
  260: 'chow, chow chow',
  261: 'keeshond',
  262: 'Brabancon griffon',
  263: 'Pembroke, Pembroke Welsh corgi',
  264: 'Cardigan, Cardigan Welsh corgi',
  265: 'toy poodle',
  266: 'miniature poodle',
  267: 'standard poodle',
  268: 'Mexican hairless',
  269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
  270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
  271: 'red wolf, maned wolf, Canis rufus, Canis niger',
  272: 'coyote, prairie wolf, brush wolf, Canis latrans',
  273: 'dingo, warrigal, warragal, Canis dingo',
  274: 'dhole, Cuon alpinus',
  275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
  276: 'hyena, hyaena',
  277: 'red fox, Vulpes vulpes',
  278: 'kit fox, Vulpes macrotis',
  279: 'Arctic fox, white fox, Alopex lagopus',
  280: 'grey fox, gray fox, Urocyon cinereoargenteus',
  281: 'tabby, tabby cat',
  282: 'tiger cat',
  283: 'Persian cat',
  284: 'Siamese cat, Siamese',
  285: 'Egyptian cat',
  286: 'cougar, puma, catamount, mountain lion, painter, panther, ' +
      'Felis concolor',
  287: 'lynx, catamount',
  288: 'leopard, Panthera pardus',
  289: 'snow leopard, ounce, Panthera uncia',
  290: 'jaguar, panther, Panthera onca, Felis onca',
  291: 'lion, king of beasts, Panthera leo',
  292: 'tiger, Panthera tigris',
  293: 'cheetah, chetah, Acinonyx jubatus',
  294: 'brown bear, bruin, Ursus arctos',
  295: 'American black bear, black bear, Ursus americanus, Euarctos ' +
      'americanus',
  296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
  297: 'sloth bear, Melursus ursinus, Ursus ursinus',
  298: 'mongoose',
  299: 'meerkat, mierkat',
  300: 'tiger beetle',
  301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
  302: 'ground beetle, carabid beetle',
  303: 'long-horned beetle, longicorn, longicorn beetle',
  304: 'leaf beetle, chrysomelid',
  305: 'dung beetle',
  306: 'rhinoceros beetle',
  307: 'weevil',
  308: 'fly',
  309: 'bee',
  310: 'ant, emmet, pismire',
  311: 'grasshopper, hopper',
  312: 'cricket',
  313: 'walking stick, walkingstick, stick insect',
  314: 'cockroach, roach',
  315: 'mantis, mantid',
  316: 'cicada, cicala',
  317: 'leafhopper',
  318: 'lacewing, lacewing fly',
  319: 'dragonfly, darning needle, devil\'s darning needle, sewing needle, ' +
      'snake feeder, snake doctor, mosquito hawk, skeeter hawk',
  320: 'damselfly',
  321: 'admiral',
  322: 'ringlet, ringlet butterfly',
  323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
  324: 'cabbage butterfly',
  325: 'sulphur butterfly, sulfur butterfly',
  326: 'lycaenid, lycaenid butterfly',
  327: 'starfish, sea star',
  328: 'sea urchin',
  329: 'sea cucumber, holothurian',
  330: 'wood rabbit, cottontail, cottontail rabbit',
  331: 'hare',
  332: 'Angora, Angora rabbit',
  333: 'hamster',
  334: 'porcupine, hedgehog',
  335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
  336: 'marmot',
  337: 'beaver',
  338: 'guinea pig, Cavia cobaya',
  339: 'sorrel',
  340: 'zebra',
  341: 'hog, pig, grunter, squealer, Sus scrofa',
  342: 'wild boar, boar, Sus scrofa',
  343: 'warthog',
  344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
  345: 'ox',
  346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
  347: 'bison',
  348: 'ram, tup',
  349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky ' +
      'Mountain sheep, Ovis canadensis',
  350: 'ibex, Capra ibex',
  351: 'hartebeest',
  352: 'impala, Aepyceros melampus',
  353: 'gazelle',
  354: 'Arabian camel, dromedary, Camelus dromedarius',
  355: 'llama',
  356: 'weasel',
  357: 'mink',
  358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
  359: 'black-footed ferret, ferret, Mustela nigripes',
  360: 'otter',
  361: 'skunk, polecat, wood pussy',
  362: 'badger',
  363: 'armadillo',
  364: 'three-toed sloth, ai, Bradypus tridactylus',
  365: 'orangutan, orang, orangutang, Pongo pygmaeus',
  366: 'gorilla, Gorilla gorilla',
  367: 'chimpanzee, chimp, Pan troglodytes',
  368: 'gibbon, Hylobates lar',
  369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
  370: 'guenon, guenon monkey',
  371: 'patas, hussar monkey, Erythrocebus patas',
  372: 'baboon',
  373: 'macaque',
  374: 'langur',
  375: 'colobus, colobus monkey',
  376: 'proboscis monkey, Nasalis larvatus',
  377: 'marmoset',
  378: 'capuchin, ringtail, Cebus capucinus',
  379: 'howler monkey, howler',
  380: 'titi, titi monkey',
  381: 'spider monkey, Ateles geoffroyi',
  382: 'squirrel monkey, Saimiri sciureus',
  383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
  384: 'indri, indris, Indri indri, Indri brevicaudatus',
  385: 'Indian elephant, Elephas maximus',
  386: 'African elephant, Loxodonta africana',
  387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
  388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
  389: 'barracouta, snoek',
  390: 'eel',
  391: 'coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus ' +
      'kisutch',
  392: 'rock beauty, Holocanthus tricolor',
  393: 'anemone fish',
  394: 'sturgeon',
  395: 'gar, garfish, garpike, billfish, Lepisosteus osseus',
  396: 'lionfish',
  397: 'puffer, pufferfish, blowfish, globefish',
  398: 'abacus',
  399: 'abaya',
  400: 'academic gown, academic robe, judge\'s robe',
  401: 'accordion, piano accordion, squeeze box',
  402: 'acoustic guitar',
  403: 'aircraft carrier, carrier, flattop, attack aircraft carrier',
  404: 'airliner',
  405: 'airship, dirigible',
  406: 'altar',
  407: 'ambulance',
  408: 'amphibian, amphibious vehicle',
  409: 'analog clock',
  410: 'apiary, bee house',
  411: 'apron',
  412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, ' +
      'dustbin, trash barrel, trash bin',
  413: 'assault rifle, assault gun',
  414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
  415: 'bakery, bakeshop, bakehouse',
  416: 'balance beam, beam',
  417: 'balloon',
  418: 'ballpoint, ballpoint pen, ballpen, Biro',
  419: 'Band Aid',
  420: 'banjo',
  421: 'bannister, banister, balustrade, balusters, handrail',
  422: 'barbell',
  423: 'barber chair',
  424: 'barbershop',
  425: 'barn',
  426: 'barometer',
  427: 'barrel, cask',
  428: 'barrow, garden cart, lawn cart, wheelbarrow',
  429: 'baseball',
  430: 'basketball',
  431: 'bassinet',
  432: 'bassoon',
  433: 'bathing cap, swimming cap',
  434: 'bath towel',
  435: 'bathtub, bathing tub, bath, tub',
  436: 'beach wagon, station wagon, wagon, estate car, beach waggon, station ' +
      'waggon, waggon',
  437: 'beacon, lighthouse, beacon light, pharos',
  438: 'beaker',
  439: 'bearskin, busby, shako',
  440: 'beer bottle',
  441: 'beer glass',
  442: 'bell cote, bell cot',
  443: 'bib',
  444: 'bicycle-built-for-two, tandem bicycle, tandem',
  445: 'bikini, two-piece',
  446: 'binder, ring-binder',
  447: 'binoculars, field glasses, opera glasses',
  448: 'birdhouse',
  449: 'boathouse',
  450: 'bobsled, bobsleigh, bob',
  451: 'bolo tie, bolo, bola tie, bola',
  452: 'bonnet, poke bonnet',
  453: 'bookcase',
  454: 'bookshop, bookstore, bookstall',
  455: 'bottlecap',
  456: 'bow',
  457: 'bow tie, bow-tie, bowtie',
  458: 'brass, memorial tablet, plaque',
  459: 'brassiere, bra, bandeau',
  460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
  461: 'breastplate, aegis, egis',
  462: 'broom',
  463: 'bucket, pail',
  464: 'buckle',
  465: 'bulletproof vest',
  466: 'bullet train, bullet',
  467: 'butcher shop, meat market',
  468: 'cab, hack, taxi, taxicab',
  469: 'caldron, cauldron',
  470: 'candle, taper, wax light',
  471: 'cannon',
  472: 'canoe',
  473: 'can opener, tin opener',
  474: 'cardigan',
  475: 'car mirror',
  476: 'carousel, carrousel, merry-go-round, roundabout, whirligig',
  477: 'carpenter\'s kit, tool kit',
  478: 'carton',
  479: 'car wheel',
  480: 'cash machine, cash dispenser, automated teller machine, automatic ' +
      'teller machine, automated teller, automatic teller, ATM',
  481: 'cassette',
  482: 'cassette player',
  483: 'castle',
  484: 'catamaran',
  485: 'CD player',
  486: 'cello, violoncello',
  487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
  488: 'chain',
  489: 'chainlink fence',
  490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ' +
      'ring armour',
  491: 'chain saw, chainsaw',
  492: 'chest',
  493: 'chiffonier, commode',
  494: 'chime, bell, gong',
  495: 'china cabinet, china closet',
  496: 'Christmas stocking',
  497: 'church, church building',
  498: 'cinema, movie theater, movie theatre, movie house, picture palace',
  499: 'cleaver, meat cleaver, chopper',
  500: 'cliff dwelling',
  501: 'cloak',
  502: 'clog, geta, patten, sabot',
  503: 'cocktail shaker',
  504: 'coffee mug',
  505: 'coffeepot',
  506: 'coil, spiral, volute, whorl, helix',
  507: 'combination lock',
  508: 'computer keyboard, keypad',
  509: 'confectionery, confectionary, candy store',
  510: 'container ship, containership, container vessel',
  511: 'convertible',
  512: 'corkscrew, bottle screw',
  513: 'cornet, horn, trumpet, trump',
  514: 'cowboy boot',
  515: 'cowboy hat, ten-gallon hat',
  516: 'cradle',
  517: 'crane',
  518: 'crash helmet',
  519: 'crate',
  520: 'crib, cot',
  521: 'Crock Pot',
  522: 'croquet ball',
  523: 'crutch',
  524: 'cuirass',
  525: 'dam, dike, dyke',
  526: 'desk',
  527: 'desktop computer',
  528: 'dial telephone, dial phone',
  529: 'diaper, nappy, napkin',
  530: 'digital clock',
  531: 'digital watch',
  532: 'dining table, board',
  533: 'dishrag, dishcloth',
  534: 'dishwasher, dish washer, dishwashing machine',
  535: 'disk brake, disc brake',
  536: 'dock, dockage, docking facility',
  537: 'dogsled, dog sled, dog sleigh',
  538: 'dome',
  539: 'doormat, welcome mat',
  540: 'drilling platform, offshore rig',
  541: 'drum, membranophone, tympan',
  542: 'drumstick',
  543: 'dumbbell',
  544: 'Dutch oven',
  545: 'electric fan, blower',
  546: 'electric guitar',
  547: 'electric locomotive',
  548: 'entertainment center',
  549: 'envelope',
  550: 'espresso maker',
  551: 'face powder',
  552: 'feather boa, boa',
  553: 'file, file cabinet, filing cabinet',
  554: 'fireboat',
  555: 'fire engine, fire truck',
  556: 'fire screen, fireguard',
  557: 'flagpole, flagstaff',
  558: 'flute, transverse flute',
  559: 'folding chair',
  560: 'football helmet',
  561: 'forklift',
  562: 'fountain',
  563: 'fountain pen',
  564: 'four-poster',
  565: 'freight car',
  566: 'French horn, horn',
  567: 'frying pan, frypan, skillet',
  568: 'fur coat',
  569: 'garbage truck, dustcart',
  570: 'gasmask, respirator, gas helmet',
  571: 'gas pump, gasoline pump, petrol pump, island dispenser',
  572: 'goblet',
  573: 'go-kart',
  574: 'golf ball',
  575: 'golfcart, golf cart',
  576: 'gondola',
  577: 'gong, tam-tam',
  578: 'gown',
  579: 'grand piano, grand',
  580: 'greenhouse, nursery, glasshouse',
  581: 'grille, radiator grille',
  582: 'grocery store, grocery, food market, market',
  583: 'guillotine',
  584: 'hair slide',
  585: 'hair spray',
  586: 'half track',
  587: 'hammer',
  588: 'hamper',
  589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
  590: 'hand-held computer, hand-held microcomputer',
  591: 'handkerchief, hankie, hanky, hankey',
  592: 'hard disc, hard disk, fixed disk',
  593: 'harmonica, mouth organ, harp, mouth harp',
  594: 'harp',
  595: 'harvester, reaper',
  596: 'hatchet',
  597: 'holster',
  598: 'home theater, home theatre',
  599: 'honeycomb',
  600: 'hook, claw',
  601: 'hoopskirt, crinoline',
  602: 'horizontal bar, high bar',
  603: 'horse cart, horse-cart',
  604: 'hourglass',
  605: 'iPod',
  606: 'iron, smoothing iron',
  607: 'jack-o\'-lantern',
  608: 'jean, blue jean, denim',
  609: 'jeep, landrover',
  610: 'jersey, T-shirt, tee shirt',
  611: 'jigsaw puzzle',
  612: 'jinrikisha, ricksha, rickshaw',
  613: 'joystick',
  614: 'kimono',
  615: 'knee pad',
  616: 'knot',
  617: 'lab coat, laboratory coat',
  618: 'ladle',
  619: 'lampshade, lamp shade',
  620: 'laptop, laptop computer',
  621: 'lawn mower, mower',
  622: 'lens cap, lens cover',
  623: 'letter opener, paper knife, paperknife',
  624: 'library',
  625: 'lifeboat',
  626: 'lighter, light, igniter, ignitor',
  627: 'limousine, limo',
  628: 'liner, ocean liner',
  629: 'lipstick, lip rouge',
  630: 'Loafer',
  631: 'lotion',
  632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker ' +
      'system',
  633: 'loupe, jeweler\'s loupe',
  634: 'lumbermill, sawmill',
  635: 'magnetic compass',
  636: 'mailbag, postbag',
  637: 'mailbox, letter box',
  638: 'maillot',
  639: 'maillot, tank suit',
  640: 'manhole cover',
  641: 'maraca',
  642: 'marimba, xylophone',
  643: 'mask',
  644: 'matchstick',
  645: 'maypole',
  646: 'maze, labyrinth',
  647: 'measuring cup',
  648: 'medicine chest, medicine cabinet',
  649: 'megalith, megalithic structure',
  650: 'microphone, mike',
  651: 'microwave, microwave oven',
  652: 'military uniform',
  653: 'milk can',
  654: 'minibus',
  655: 'miniskirt, mini',
  656: 'minivan',
  657: 'missile',
  658: 'mitten',
  659: 'mixing bowl',
  660: 'mobile home, manufactured home',
  661: 'Model T',
  662: 'modem',
  663: 'monastery',
  664: 'monitor',
  665: 'moped',
  666: 'mortar',
  667: 'mortarboard',
  668: 'mosque',
  669: 'mosquito net',
  670: 'motor scooter, scooter',
  671: 'mountain bike, all-terrain bike, off-roader',
  672: 'mountain tent',
  673: 'mouse, computer mouse',
  674: 'mousetrap',
  675: 'moving van',
  676: 'muzzle',
  677: 'nail',
  678: 'neck brace',
  679: 'necklace',
  680: 'nipple',
  681: 'notebook, notebook computer',
  682: 'obelisk',
  683: 'oboe, hautboy, hautbois',
  684: 'ocarina, sweet potato',
  685: 'odometer, hodometer, mileometer, milometer',
  686: 'oil filter',
  687: 'organ, pipe organ',
  688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
  689: 'overskirt',
  690: 'oxcart',
  691: 'oxygen mask',
  692: 'packet',
  693: 'paddle, boat paddle',
  694: 'paddlewheel, paddle wheel',
  695: 'padlock',
  696: 'paintbrush',
  697: 'pajama, pyjama, pj\'s, jammies',
  698: 'palace',
  699: 'panpipe, pandean pipe, syrinx',
  700: 'paper towel',
  701: 'parachute, chute',
  702: 'parallel bars, bars',
  703: 'park bench',
  704: 'parking meter',
  705: 'passenger car, coach, carriage',
  706: 'patio, terrace',
  707: 'pay-phone, pay-station',
  708: 'pedestal, plinth, footstall',
  709: 'pencil box, pencil case',
  710: 'pencil sharpener',
  711: 'perfume, essence',
  712: 'Petri dish',
  713: 'photocopier',
  714: 'pick, plectrum, plectron',
  715: 'pickelhaube',
  716: 'picket fence, paling',
  717: 'pickup, pickup truck',
  718: 'pier',
  719: 'piggy bank, penny bank',
  720: 'pill bottle',
  721: 'pillow',
  722: 'ping-pong ball',
  723: 'pinwheel',
  724: 'pirate, pirate ship',
  725: 'pitcher, ewer',
  726: 'plane, carpenter\'s plane, woodworking plane',
  727: 'planetarium',
  728: 'plastic bag',
  729: 'plate rack',
  730: 'plow, plough',
  731: 'plunger, plumber\'s helper',
  732: 'Polaroid camera, Polaroid Land camera',
  733: 'pole',
  734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black ' +
      'Maria',
  735: 'poncho',
  736: 'pool table, billiard table, snooker table',
  737: 'pop bottle, soda bottle',
  738: 'pot, flowerpot',
  739: 'potter\'s wheel',
  740: 'power drill',
  741: 'prayer rug, prayer mat',
  742: 'printer',
  743: 'prison, prison house',
  744: 'projectile, missile',
  745: 'projector',
  746: 'puck, hockey puck',
  747: 'punching bag, punch bag, punching ball, punchball',
  748: 'purse',
  749: 'quill, quill pen',
  750: 'quilt, comforter, comfort, puff',
  751: 'racer, race car, racing car',
  752: 'racket, racquet',
  753: 'radiator',
  754: 'radio, wireless',
  755: 'radio telescope, radio reflector',
  756: 'rain barrel',
  757: 'recreational vehicle, RV, R.V.',
  758: 'reel',
  759: 'reflex camera',
  760: 'refrigerator, icebox',
  761: 'remote control, remote',
  762: 'restaurant, eating house, eating place, eatery',
  763: 'revolver, six-gun, six-shooter',
  764: 'rifle',
  765: 'rocking chair, rocker',
  766: 'rotisserie',
  767: 'rubber eraser, rubber, pencil eraser',
  768: 'rugby ball',
  769: 'rule, ruler',
  770: 'running shoe',
  771: 'safe',
  772: 'safety pin',
  773: 'saltshaker, salt shaker',
  774: 'sandal',
  775: 'sarong',
  776: 'sax, saxophone',
  777: 'scabbard',
  778: 'scale, weighing machine',
  779: 'school bus',
  780: 'schooner',
  781: 'scoreboard',
  782: 'screen, CRT screen',
  783: 'screw',
  784: 'screwdriver',
  785: 'seat belt, seatbelt',
  786: 'sewing machine',
  787: 'shield, buckler',
  788: 'shoe shop, shoe-shop, shoe store',
  789: 'shoji',
  790: 'shopping basket',
  791: 'shopping cart',
  792: 'shovel',
  793: 'shower cap',
  794: 'shower curtain',
  795: 'ski',
  796: 'ski mask',
  797: 'sleeping bag',
  798: 'slide rule, slipstick',
  799: 'sliding door',
  800: 'slot, one-armed bandit',
  801: 'snorkel',
  802: 'snowmobile',
  803: 'snowplow, snowplough',
  804: 'soap dispenser',
  805: 'soccer ball',
  806: 'sock',
  807: 'solar dish, solar collector, solar furnace',
  808: 'sombrero',
  809: 'soup bowl',
  810: 'space bar',
  811: 'space heater',
  812: 'space shuttle',
  813: 'spatula',
  814: 'speedboat',
  815: 'spider web, spider\'s web',
  816: 'spindle',
  817: 'sports car, sport car',
  818: 'spotlight, spot',
  819: 'stage',
  820: 'steam locomotive',
  821: 'steel arch bridge',
  822: 'steel drum',
  823: 'stethoscope',
  824: 'stole',
  825: 'stone wall',
  826: 'stopwatch, stop watch',
  827: 'stove',
  828: 'strainer',
  829: 'streetcar, tram, tramcar, trolley, trolley car',
  830: 'stretcher',
  831: 'studio couch, day bed',
  832: 'stupa, tope',
  833: 'submarine, pigboat, sub, U-boat',
  834: 'suit, suit of clothes',
  835: 'sundial',
  836: 'sunglass',
  837: 'sunglasses, dark glasses, shades',
  838: 'sunscreen, sunblock, sun blocker',
  839: 'suspension bridge',
  840: 'swab, swob, mop',
  841: 'sweatshirt',
  842: 'swimming trunks, bathing trunks',
  843: 'swing',
  844: 'switch, electric switch, electrical switch',
  845: 'syringe',
  846: 'table lamp',
  847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
  848: 'tape player',
  849: 'teapot',
  850: 'teddy, teddy bear',
  851: 'television, television system',
  852: 'tennis ball',
  853: 'thatch, thatched roof',
  854: 'theater curtain, theatre curtain',
  855: 'thimble',
  856: 'thresher, thrasher, threshing machine',
  857: 'throne',
  858: 'tile roof',
  859: 'toaster',
  860: 'tobacco shop, tobacconist shop, tobacconist',
  861: 'toilet seat',
  862: 'torch',
  863: 'totem pole',
  864: 'tow truck, tow car, wrecker',
  865: 'toyshop',
  866: 'tractor',
  867: 'trailer truck, tractor trailer, trucking rig, rig, articulated ' +
      'lorry, semi',
  868: 'tray',
  869: 'trench coat',
  870: 'tricycle, trike, velocipede',
  871: 'trimaran',
  872: 'tripod',
  873: 'triumphal arch',
  874: 'trolleybus, trolley coach, trackless trolley',
  875: 'trombone',
  876: 'tub, vat',
  877: 'turnstile',
  878: 'typewriter keyboard',
  879: 'umbrella',
  880: 'unicycle, monocycle',
  881: 'upright, upright piano',
  882: 'vacuum, vacuum cleaner',
  883: 'vase',
  884: 'vault',
  885: 'velvet',
  886: 'vending machine',
  887: 'vestment',
  888: 'viaduct',
  889: 'violin, fiddle',
  890: 'volleyball',
  891: 'waffle iron',
  892: 'wall clock',
  893: 'wallet, billfold, notecase, pocketbook',
  894: 'wardrobe, closet, press',
  895: 'warplane, military plane',
  896: 'washbasin, handbasin, washbowl, lavabo, wash-hand basin',
  897: 'washer, automatic washer, washing machine',
  898: 'water bottle',
  899: 'water jug',
  900: 'water tower',
  901: 'whiskey jug',
  902: 'whistle',
  903: 'wig',
  904: 'window screen',
  905: 'window shade',
  906: 'Windsor tie',
  907: 'wine bottle',
  908: 'wing',
  909: 'wok',
  910: 'wooden spoon',
  911: 'wool, woolen, woollen',
  912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
  913: 'wreck',
  914: 'yawl',
  915: 'yurt',
  916: 'web site, website, internet site, site',
  917: 'comic book',
  918: 'crossword puzzle, crossword',
  919: 'street sign',
  920: 'traffic light, traffic signal, stoplight',
  921: 'book jacket, dust cover, dust jacket, dust wrapper',
  922: 'menu',
  923: 'plate',
  924: 'guacamole',
  925: 'consomme',
  926: 'hot pot, hotpot',
  927: 'trifle',
  928: 'ice cream, icecream',
  929: 'ice lolly, lolly, lollipop, popsicle',
  930: 'French loaf',
  931: 'bagel, beigel',
  932: 'pretzel',
  933: 'cheeseburger',
  934: 'hotdog, hot dog, red hot',
  935: 'mashed potato',
  936: 'head cabbage',
  937: 'broccoli',
  938: 'cauliflower',
  939: 'zucchini, courgette',
  940: 'spaghetti squash',
  941: 'acorn squash',
  942: 'butternut squash',
  943: 'cucumber, cuke',
  944: 'artichoke, globe artichoke',
  945: 'bell pepper',
  946: 'cardoon',
  947: 'mushroom',
  948: 'Granny Smith',
  949: 'strawberry',
  950: 'orange',
  951: 'lemon',
  952: 'fig',
  953: 'pineapple, ananas',
  954: 'banana',
  955: 'jackfruit, jak, jack',
  956: 'custard apple',
  957: 'pomegranate',
  958: 'hay',
  959: 'carbonara',
  960: 'chocolate sauce, chocolate syrup',
  961: 'dough',
  962: 'meat loaf, meatloaf',
  963: 'pizza, pizza pie',
  964: 'potpie',
  965: 'burrito',
  966: 'red wine',
  967: 'espresso',
  968: 'cup',
  969: 'eggnog',
  970: 'alp',
  971: 'bubble',
  972: 'cliff, drop, drop-off',
  973: 'coral reef',
  974: 'geyser',
  975: 'lakeside, lakeshore',
  976: 'promontory, headland, head, foreland',
  977: 'sandbar, sand bar',
  978: 'seashore, coast, seacoast, sea-coast',
  979: 'valley, vale',
  980: 'volcano',
  981: 'ballplayer, baseball player',
  982: 'groom, bridegroom',
  983: 'scuba diver',
  984: 'rapeseed',
  985: 'daisy',
  986: 'yellow lady\'s slipper, yellow lady-slipper, Cypripedium calceolus, ' +
      'Cypripedium parviflorum',
  987: 'corn',
  988: 'acorn',
  989: 'hip, rose hip, rosehip',
  990: 'buckeye, horse chestnut, conker',
  991: 'coral fungus',
  992: 'agaric',
  993: 'gyromitra',
  994: 'stinkhorn, carrion fungus',
  995: 'earthstar',
  996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola ' +
      'frondosa',
  997: 'bolete',
  998: 'ear, spike, capitulum',
  999: 'toilet tissue, toilet paper, bathroom tissue'
};