getimagenetclasses.py

import xml.etree.ElementTree as ET
#from sets import Set

def get_classes():

  cls={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: 'jellyfish',
   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'}

  return cls

def parsesynsetwords(filen):

  synsetstoclassdescriptions={}
  indicestosynsets={}
  synsetstoindices={}
  ct=-1
  with open(filen) as f:
    for line in f:
      if (len(line)> 5):
        z=line.strip().split()
        descr=''
        for i in range(1,len(z)):
          descr=descr+' '+z[i]
        
        ct+=1
        indicestosynsets[ct]=z[0]
        synsetstoindices[z[0]]=ct
        synsetstoclassdescriptions[z[0]]=descr[1:]
  return indicestosynsets,synsetstoindices,synsetstoclassdescriptions


def test_parsesyn():
  filen='/home/binder/entwurf6/codes/tfplay/ai/imagenetdata/synset_words.txt'
  indicestosynsets,synsetstoindices,synsetstoclassdescr=parsesynsetwords(filen)
  clsdict=get_classes()
  
  '''
  for keyval in indicestosynsets.items():
    print(type(keyval[0]),keyval[0],keyval[1])
  '''
  
  
  
  for i in range(1000):
    n1=synsetstoclassdescr[indicestosynsets[i]]
    n2=clsdict[i]
    
    if(n1!=n2):
      print (i)
      print ('n1', n1,'n2:',n2 )

def testparse():
  nm='/home/binder/entwurf6/codes/tfplay/ai/imagenetdata/val/ILSVRC2012_val_00049999.xml'

  tree = ET.parse(nm)
  root = tree.getroot()
  
  '''
  for child in root:
    #print child.tag,'|'
    if child.tag=='object':
      for el in child:
        if el.tag=='name':
          print el.text
  '''        
  for obj in root.findall('object'):
     for name in obj.findall('name'):
       print (name.text)
  #for         
  
def parseclasslabel(nm,synsetstoindices):  
  tree = ET.parse(nm)
  root = tree.getroot()

  lbset=set()
  
  for obj in root.findall('object'):
     for name in obj.findall('name'):
       #print name.text
       ind=synsetstoindices[name.text]
       firstname=name.text
       lbset.add(ind)
       
  if len(lbset)!=1:
    print     ('ERR: len(lbset)!=1',  len(lbset))
    exit()
    
  for s in lbset:
    label=  s
  return label,firstname
  
  
def test_parseclasslabel():
  filen='/home/binder/entwurf6/codes/tfplay/ai/imagenetdata/synset_words.txt'

  
  nm='/home/binder/entwurf6/codes/tfplay/ai/imagenetdata/val/ILSVRC2012_val_00049999.xml'
  
  indicestosynsets,synsetstoindices,synsetstoclassdescr=parsesynsetwords(filen)
  
  label,firstname=parseclasslabel(nm,synsetstoindices)
  
  print(label,firstname,  synsetstoclassdescr[indicestosynsets[label]] )