Filter Labels.ipynb

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      "/home/ambika/INF_project/data/bird/531136.jpg\tbird\t0.86088\tbird\t0.0726302\tbird\t0.0621103\tbird\t0.00127439\tbird\t0.000604131\n",
      "/home/ambika/INF_project/data/bus/449432.jpg\tgolf_equipment\t0.228865\tcar\t0.103154\tbus\t0.0579219\tcar\t0.0578523\t\t\n",
      "/home/ambika/INF_project/data/car/343213.jpg\t\t\tclock\t0.0583524\tmusical_instrument\t0.0226149\t\t\tbuilding\t0.0181635\n",
      "/home/ambika/INF_project/data/cat/44950.jpg\tbed\t0.423965\tfurniture\t0.0677519\tfurniture\t0.0449569\tscreen\t0.040351\tdoor\t0.0397218\n",
      "/home/ambika/INF_project/data/couch/543581.jpg\tpersonal_computer\t0.170729\ttable\t0.0802661\ttable\t0.072943\tcouch\t0.0577619\tlamp\t0.0503046\n",
      "/home/ambika/INF_project/data/dog/478517.jpg\t\t\tdog\t0.169749\tdog\t0.082142\tdog\t0.0756322\tdog\t0.0477272\n",
      "/home/ambika/INF_project/data/horse/463722.jpg\tpost\t0.801092\tdog\t0.0129693\tdog\t0.0105911\tdog\t0.0102677\t\t\n",
      "/home/ambika/INF_project/data/person/205332.jpg\tairplane\t0.492005\t\t\tairplane\t0.0745963\tpower_saw\t0.0143232\tmusical_instrument\t0.0105646\n",
      "/home/ambika/INF_project/data/train/311883.jpg\ttrain\t0.974613\ttrain\t0.0107079\ttrain\t0.00982098\tship\t0.00082615\t\t\n",
      "/home/ambika/INF_project/data/airplane/502347.jpg\tairplane\t0.665915\tastronomical_telescope\t0.0552743\tairplane\t0.036894\tairplane\t0.0283816\tairplane\t0.0259263\n",
      "/home/ambika/INF_project/data/bird/563056.jpg\tboat\t0.148164\tbird\t0.140634\t\t\tshore\t0.10035\tbird\t0.0865801\n",
      "/home/ambika/INF_project/data/bus/143931.jpg\t\t\t\t\tsign\t0.0321598\tbus\t0.0186342\ttruck\t0.0159637\n",
      "/home/ambika/INF_project/data/car/178156.jpg\tlight\t0.790874\tcar\t0.0603889\tcar\t0.0441022\tbus\t0.0418159\t\t\n",
      "/home/ambika/INF_project/data/cat/25123.jpg\tcap\t0.480451\t\t\t\t\t\t\tbird\t0.00392915\n",
      "/home/ambika/INF_project/data/couch/313321.jpg\tbuilding\t0.580501\tentertainment_center\t0.30425\ttelevision\t0.0620201\telectronic_equipment\t0.0183441\tpersonal_computer\t0.00584013\n",
      "/home/ambika/INF_project/data/dog/547062.jpg\t\t\thorse\t0.147851\t\t\tcattle\t0.0669098\tfarm_machine\t0.0402388\n",
      "/home/ambika/INF_project/data/horse/529344.jpg\thorse\t0.378718\thorse\t0.177566\that\t0.0973384\tmusical_instrument\t0.062672\tmusical_instrument\t0.0266889\n",
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      "/home/ambika/INF_project/data/bus/171962.jpg\tbus\t0.172284\ttruck\t0.104633\tbus\t0.101621\tcar\t0.070008\ttruck\t0.0675547\n",
      "/home/ambika/INF_project/data/car/203734.jpg\t\t\tball\t0.09351\tbike\t0.0893151\t\t\t\t\n",
      "/home/ambika/INF_project/data/cat/285421.jpg\tseat\t0.221583\tbaby_bed\t0.0554179\twash_basin\t0.0363486\tfan\t0.0337005\tpan\t0.033613\n",
      "/home/ambika/INF_project/data/couch/36942.jpg\tdog\t0.355525\tdog\t0.227884\tdog\t0.109025\tdog\t0.048838\tdog\t0.0487212\n",
      "/home/ambika/INF_project/data/dog/195437.jpg\t\t\tbike\t0.0526446\t\t\tbike\t0.0285164\t\t\n",
      "home/ambika/INF_project/data/horse/560880.jpg\tcar\t0.182964\tmilitary_vehicle\t0.096247\tfarm_building\t0.0580284\tswine\t0.0417312\tfodder\t0.0386129\n",
      "/home/ambika/INF_project/data/person/314685.jpg\tbike\t0.103338\tcar\t0.0648181\tski\t0.0578972\tsnowmobile\t0.0458631\t\t\n",
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      "/home/ambika/INF_project/data/car/264659.jpg\tbird\t0.592563\tbird\t0.105803\tbird\t0.0235325\tbird\t0.0235155\tbird\t0.0233246\n",
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      "/home/ambika/INF_project/data/bus/562805.jpg\tcar\t0.362759\tcar\t0.205916\thorse\t0.0941497\tbus\t0.0511695\tbus\t0.04124\n",
      "/home/ambika/INF_project/data/car/571657.jpg\t\t\tbike\t0.0488708\tbike\t0.0478247\t\t\t\t\n",
      "/home/ambika/INF_project/data/cat/37470.jpg\twindow_blind\t0.197027\tscreen\t0.0684863\tcurtain\t0.0622096\tape_like_animal\t0.0604468\tape_like_animal\t0.0596812\n",
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      "/home/ambika/INF_project/data/dog/301326.jpg\tbear\t0.0926645\tdog\t0.0880041\tdog\t0.0698017\tape_like_animal\t0.0432917\t\t\n",
      "/home/ambika/INF_project/data/horse/331242.jpg\tcamel\t0.454247\tsandbar\t0.120443\tbuffalo\t0.0517811\tshore\t0.046874\tshore\t0.0302554\n",
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      "/home/ambika/INF_project/data/bus/258291.jpg\tbus\t0.490752\tbus\t0.439382\tcar\t0.0592474\ttrain\t0.00883474\t\t\n",
      "/home/ambika/INF_project/data/car/538690.jpg\tsign\t0.943953\tboard\t0.0208627\tshop\t0.00765589\tcar\t0.00647917\tbuilding\t0.00404881\n",
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      "/home/ambika/INF_project/data/couch/492758.jpg\tbuilding\t0.520095\ttable\t0.238289\tdoor\t0.0417523\t\t\tfurniture\t0.0308059\n",
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      "/home/ambika/INF_project/data/person/28532.jpg\tmilitary_vehicle\t0.137157\ttruck\t0.136725\tcar\t0.113883\ttruck\t0.107945\ttruck\t0.100522\n",
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      "/home/ambika/INF_project/data/bus/431023.jpg\t\t\tcleaning_equipment\t0.0793415\tskirt\t0.0576184\traincoat\t0.0430581\t\t\n",
      "/home/ambika/INF_project/data/car/182874.jpg\tcar\t0.349113\tbus\t0.314875\tbus\t0.170248\ttrain\t0.0403342\t\t\n",
      "/home/ambika/INF_project/data/cat/227218.jpg\tbird\t0.285079\tdog\t0.161726\tdog\t0.104946\tdog\t0.0823992\tdog\t0.0605516\n",
      "/home/ambika/INF_project/data/couch/13729.jpg\tskirt\t0.171251\tweight\t0.0850364\t\t\thome_appliance\t0.05131\tcleaning_equipment\t0.0431927\n",
      "/home/ambika/INF_project/data/dog/354729.jpg\tdog\t0.254001\tdog\t0.187767\tdog\t0.105135\tdog\t0.0727066\tdog\t0.066112\n",
      "/home/ambika/INF_project/data/horse/342322.jpg\tbird\t0.161512\tbird\t0.122622\thorse\t0.0297049\tbird\t0.0268123\thorse\t0.02484\n",
      "/home/ambika/INF_project/data/person/12666.jpg\tbus\t0.266318\tbus\t0.254039\t\t\ttruck\t0.0699082\t\t\n",
      "/home/ambika/INF_project/data/train/332007.jpg\tbridge\t0.528068\t\t\tbuilding\t0.0269631\t\t\t\t\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "import csv\n",
    "import numpy as np\n",
    "from nltk.corpus import wordnet as wn\n",
    "\n",
    "\n",
    "test_labels='/home/ambika/INF_project/alexnet_labels_1000.txt'\n",
    "labels = np.loadtxt(test_labels, str, delimiter='\\t')\n",
    "\n",
    "filename='alexnet_labels_filtered.txt'\n",
    "b = open(filename, 'wb') \n",
    "a = csv.writer(b)\n",
    "for i in range(0,1000):\n",
    "    data=[]\n",
    "    for j in range(2,12,2):\n",
    "        x=labels[i][j][1:10]\n",
    "        s=wn._synset_from_pos_and_offset('n',int(x))\n",
    "        h=s.hypernyms()\n",
    "        y=h[0].name()\n",
    "        if y=='car.n.02':\n",
    "            z='train'\n",
    "        elif y=='car.n.01':\n",
    "            z='car'\n",
    "        else:\n",
    "            z=h[0].lemmas()[0].name()\n",
    "        if (z=='equine' or z=='horse' or z=='even-toed_ungulate' or z=='cart'):\n",
    "            z='horse'\n",
    "        elif (z=='coonhound' or z=='foxhound' or z=='Sennenhunde' or z=='fox_terrier' or z=='spaniel' or z=='mastiff' or z=='hunting_dog' or z=='bullterrier' or z=='working_dog' or z=='poodle' or z=='water_spaniel' or z=='watchdog' or z=='Belgian_sheepdog' or z=='hound' or z=='greyhound' or z=='retriever' or z=='setter' or z=='shepherd_dog' or z=='toy_dog' or z=='pinscher' or z=='wild_dog' or z=='sled_dog' or z=='corgi' or z=='wolfhound' or z=='spitz' or z=='canine' or z=='springer_spaniel' or z=='schnauzer' or z=='bulldog' or z=='terrier' or z=='dog' or z=='toy_spaniel' or z=='English_toy_spaniel'):\n",
    "            z='dog'\n",
    "        elif (z=='purple_gallinule' or z=='owl' or z=='cockatoo' or z=='eagle' or z=='piciform_bird' or z=='egret' or z=='oscine' or z=='heron' or z=='lory' or z=='titmouse' or z=='pelecaniform_seabird' or z=='parrot' or z=='pelagic_bird' or z=='peafowl' or z=='duck' or z=='merganser' or z=='snipe' or z=='swan' or z=='coot' or z=='shorebird' or z=='grouse' or z=='thrush' or z=='finch' or z=='nightingale' or z=='phasianid' or z=='cuckoo' or z=='hawk' or z=='coraciiform_bird' or z=='apodiform_bird' or z=='wading_bird' or z=='corvine_bird' or z=='anseriform_bird' or z=='stork' or z=='ratite' or z=='bird_of_prey'):\n",
    "            z='bird'\n",
    "        elif (z=='chair' or z=='convertible'):\n",
    "            z='couch'\n",
    "        elif (z=='locomotive' or z=='train' or z=='passenger_train'):\n",
    "            z='train'\n",
    "        elif (z=='self-propelled_vehicle' or z=='car'):\n",
    "            z='car'\n",
    "        elif (z=='wildcat' or z=='domestic_cat' or z=='big_cat'):\n",
    "            z='cat'\n",
    "        elif (z=='weapon' or z=='heavier-than-air_craft' or z=='lighter-than-air_craft' or z=='airliner' or z=='rescue_equipment'):\n",
    "            z='airplane'\n",
    "        elif (z=='athlete' or z=='participant'):\n",
    "            z='person'\n",
    "        elif (z=='minibike' or z=='wheeled_vehicle' or z=='bicycle'):\n",
    "            z='bike'\n",
    "        elif (z=='elephant' or z=='mammal'):\n",
    "            z='elephant'\n",
    "        elif (z=='runner'):\n",
    "            z='ski'\n",
    "        elif (z=='cavy'):\n",
    "            z='guinea_pig'\n",
    "        elif (z=='bar'):\n",
    "            z='sandbar'\n",
    "        elif (z=='spring'):\n",
    "            z='water_body'\n",
    "        elif (z=='theater' or z=='correctional_institution'):\n",
    "            z='building'\n",
    "        elif (z=='airfoil'):\n",
    "            z='airplane_wing'\n",
    "        elif (z=='telecommunication_system'):\n",
    "            z='television'\n",
    "        elif (z=='wall_unit'):\n",
    "            z='entertainment_center'\n",
    "        elif (z=='tracked_vehicle'):\n",
    "            z='snowmobile'\n",
    "        elif (z=='Old_World_buffalo'):\n",
    "            z='buffalo'\n",
    "        elif (z=='woodwind' or z=='free-reed_instrument' or z=='stringed_instrument' or z=='bowed_stringed_instrument' or z=='wind_instrument' or z=='double-reed_instrument' or z=='pipe' or z=='single-reed_instrument'):\n",
    "            z='musical_instrument'\n",
    "        elif (z=='sports_implement'):\n",
    "            z='sports_equipment'\n",
    "        elif (z=='leporid'):\n",
    "            z='rabbit'\n",
    "        elif (z=='lesser_ape' or z=='great_ape'):\n",
    "            z='ape_like_animal'\n",
    "        elif (z=='cleaning_implement'):\n",
    "            z='cleaning_equipment'\n",
    "        #elif (z=='canopy'):\n",
    "            #z='trees'\n",
    "        elif (z=='vessel' or z=='basin'):\n",
    "            z='wash_basin'\n",
    "        elif (z=='rack'):\n",
    "            z='tripod'\n",
    "        elif (z=='stew' or z=='entree'):\n",
    "            z='dish'\n",
    "        elif (z=='mountain_sheep'):\n",
    "            z='sheep'\n",
    "        elif (z=='cabinet' or z=='office_furniture'):\n",
    "            z='furniture'\n",
    "        elif (z=='motorboat' or z=='sailboat' or z=='sea_boat' or z=='small_boat' or z=='sailing_vessel'):\n",
    "            z='boat'\n",
    "        elif (z=='cistern'):\n",
    "            z='reservoir'\n",
    "        elif (z=='baleen_whale'):\n",
    "            z='whale'\n",
    "        elif (z=='passenger_ship' or z=='cargo_ship'):\n",
    "            z='ship'\n",
    "        elif (z=='plaything'):\n",
    "            z='toy'\n",
    "        elif (z=='phalanger'):\n",
    "            z='tree_dwelling_animal'\n",
    "        elif (z=='radiotelephone'):\n",
    "            z='cellphone'\n",
    "        elif (z=='decapod_crustacean' or z=='true_lobster'):\n",
    "            z='lobster'\n",
    "        elif (z=='canopy' or z=='trees' or z=='phasmid'):\n",
    "            z=''\n",
    "            labels[i][j-1]=''\n",
    "        elif (z=='fare' or z=='sea_cow' or z=='Old_World_monkey' or z=='lemur' or z=='structure' or z=='griffon' or z=='procyonid' or z=='ligament' or z=='chordophone' or z=='hosiery' or z=='scorpaenid' or z=='arachnid' or z=='homopterous_insect' or z=='top' or z=='edge_tool' or z=='New_World_monkey' or z=='orthopterous_insect' or z=='armor_plate' or z=='turner' or z=='gastropod' or z=='pin' or z=='echinoderm' or z=='stick' or z=='odonate' or z=='food_fish' or z=='cloak' or z=='summer_squash' or z=='salmon' or z=='cyprinid' or z=='natural_depression' or z=='mackerel_shark' or z=='control' or z=='adhesive_bandage' or z=='cream' or z=='restraint' or z=='brace' or z=='duplicator' or z=='automatic_rifle' or z=='arch' or z=='hydraulic_brake' or z=='column' or z=='iguanid' or z=='platform' or z=='viverrine' or z=='winder' or z=='cyprinid' or z=='acarine' or z=='winter_squash' or z=='undergarment' or z=='area' or z=='machine' or z=='colubrid_snake' or z=='danaid' or z=='monotreme' or z=='receptacle' or z=='mechanical_device' or z=='optical_instrument' or z=='spoon' or z=='lock' or z=='ganoid' or z=='boot' or z=='litter' or z=='musteline_mammal' or z=='bunting' or z=='trees' or z=='ray' or z=='sharpener' or z=='cooker' or z=='diver' or z=='marsupial' or z=='wirehair' or z=='converging_lens' or z=='applicator' or z=='kernel' or z=='face_mask'):\n",
    "            z=''\n",
    "            labels[i][j-1]=''\n",
    "        elif (z=='brass' or z=='electro-acoustic_transducer' or z=='shaker' or z=='sandpiper' or z=='turnstone' or z=='oilseed' or z=='punch' or z=='measure' or z=='gymnastic_apparatus' or z=='eared_seal' or z=='concoction' or z=='rocket' or z=='garden_tool' or z=='dictyopterous_insect' or z=='submersible' or z=='housing' or z=='disk' or z=='grate' or z=='handcart' or z=='chair_of_state' or z=='peripheral' or z=='warship' or z=='savings_bank' or z=='box' or z=='hand_tool' or z=='trees' or z=='fungus' or z=='pointer' or z=='safety_belt' or z=='trouser' or z=='gun' or z=='system' or z=='rod' or z=='wheel' or z=='trap' or z=='covering' or z=='arthropod' or z=='fastener' or z=='instrument_of_execution' or z=='spaghetti_sauce' or z=='timer' or z=='globule' or z=='motor_vehicle'or z=='cracker' or z=='drill_rig' or z=='barrier' or z=='bovid' or z=='staff' or z=='tool' or z=='protective_garment' or z=='mechanism' or z=='data_input_device' or z=='landing' or z=='support' or z=='ambystomid' or z=='breathing_device' or z=='oar' or z=='ceratopsian' or z=='van' or z=='percussion_instrument' or z=='white_goods' or z=='sauce' or z=='hymenopterous_insect' or z=='drill'):\n",
    "            z=''\n",
    "            labels[i][j-1]=''\n",
    "        data.append(z)\n",
    "    \n",
    "    var=labels[i][0][1:]+'\\t'+data[0]+'\\t'+labels[i][1]+'\\t'+data[1]+'\\t'+labels[i][3]+'\\t'+data[2]+'\\t'+labels[i][5]+'\\t'+data[3]+'\\t'+labels[i][7]+'\\t'+data[4]+'\\t'+labels[i][9]\n",
    "    print var\n",
    "    a.writerows([[var]])\n",
    "    \n",
    "b.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 685,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bridge\n",
      "0.528068\n",
      "\n",
      "\n",
      "building\n",
      "0.0269631\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f1dd7941790>"
      ]
     },
     "execution_count": 685,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hgiutRBr6JUoMee4RPEXuEWuC8lGHsfGwL7yUCkqxgLGWvOjjnaGVGPpeSIyp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\nbuf2XW7nQX5u5/ZdbudBfm7n9l1u/zfbbTdJWF7uFgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1dd8166050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import csv\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "caffe_root = '/home/ambika/caffe/'  # this file should be run from {caffe_root}/examples (otherwise change this line)\n",
    "sys.path.insert(0, caffe_root + 'python')\n",
    "\n",
    "import caffe\n",
    "%matplotlib inline\n",
    "\n",
    "data_path='/home/ambika/INF_project/alexnet_labels_filtered.txt'\n",
    "data = np.loadtxt(data_path, str, delimiter='\\t')\n",
    "\n",
    "i=0\n",
    "image = plt.imread('/'+data[i][0])\n",
    "    \n",
    "print data[i][1]\n",
    "print data[i][2]\n",
    "print data[i][3]\n",
    "print data[i][4]\n",
    "print data[i][5]\n",
    "print data[i][6]\n",
    "print data[i][7]\n",
    "print data[i][8]\n",
    "print data[i][9]\n",
    "print data[i][10]\n",
    "plt.imshow(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['\"/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg'\n",
      " '0.5036' 'n03598930 jigsaw puzzle' '0.100293' 'n02980441 castle'\n",
      " '0.0852196' 'n06785654 crossword puzzle, crossword' '0.0440295'\n",
      " 'n02793495 barn' '0.0344064' 'n03877845 palace\"']\n",
      "\"/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg\n",
      "0.5036\n",
      "n03598930 jigsaw puzzle\n",
      "02389026 \n",
      "Synset('sorrel.n.05')\n",
      "[Synset('horse.n.01')]\n",
      "horse.n.01\n",
      "no\n",
      "2\n",
      "4\n",
      "6\n",
      "8\n",
      "10\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "import csv\n",
    "import numpy as np\n",
    "from nltk.corpus import wordnet as wn\n",
    "\n",
    "test_labels='/home/ambika/INF_project/test_labels_all.txt'\n",
    "labels = np.loadtxt(test_labels, str, delimiter='\\t')\n",
    "\n",
    "print labels[0]\n",
    "print labels[0][0]\n",
    "print labels[0][1]\n",
    "print labels[0][2]\n",
    "\n",
    "x=labels[1][2][1:10]\n",
    "print x\n",
    "\n",
    "s=wn._synset_from_pos_and_offset('n',int(x))\n",
    "print s\n",
    "h=s.hypernyms()\n",
    "print h\n",
    "y=h[0].name()\n",
    "print y\n",
    "\n",
    "if y=='puzzle.n.02':\n",
    "    print 'yes'\n",
    "else:\n",
    "    print 'no'\n",
    "\n",
    "for i in range(2,12,2):\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 693,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "/home/ambika/INF_project/data/airplane/144114.jpg\tairplane_wing\t0.426471\tairplane\t0.560989\tspacecraft\t0.00393522\n",
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      "['dog', '0.5895072']\n",
      "home/ambika/INF_project/data/dog/443139.jpg\tdog\t0.5895072\n",
      "['bike', '0.9502971']\n",
      "/home/ambika/INF_project/data/horse/262394.jpg\tbike\t0.9502971\n",
      "['shore', '0.129779', 'boat', '0.13459', 'sandbar', '0.527592']\n",
      "/home/ambika/INF_project/data/person/96732.jpg\tshore\t0.129779\tboat\t0.13459\tsandbar\t0.527592\n",
      "['car', '0.0980623', 'train', '0.8679086']\n",
      "/home/ambika/INF_project/data/train/76513.jpg\tcar\t0.0980623\ttrain\t0.8679086\n",
      "['airplane_wing', '0.108446', 'airplane', '0.81690903']\n",
      "/home/ambika/INF_project/data/airplane/196185.jpg\tairplane_wing\t0.108446\tairplane\t0.81690903\n",
      "['shop', '0.134072', 'light', '0.0371165', 'toy', '0.0502785', 'swine', '0.0559529']\n",
      "/home/ambika/INF_project/data/bird/113977.jpg\tshop\t0.134072\tlight\t0.0371165\ttoy\t0.0502785\tswine\t0.0559529\n",
      "['bus', '0.95041683', 'train', '0.00424526', 'truck', '0.000467923', 'car', '0.0441569']\n",
      "/home/ambika/INF_project/data/bus/177893.jpg\tbus\t0.95041683\ttrain\t0.00424526\ttruck\t0.000467923\tcar\t0.0441569\n",
      "['person', '0.234677', 'helmet', '0.0757817', 'necktie', '0.0334276', 'uniform', '0.254701']\n",
      "/home/ambika/INF_project/data/car/146910.jpg\tperson\t0.234677\thelmet\t0.0757817\tnecktie\t0.0334276\tuniform\t0.254701\n",
      "['guinea_pig', '0.0996967', 'dog', '0.4924045']\n",
      "/home/ambika/INF_project/data/cat/318238.jpg\tguinea_pig\t0.0996967\tdog\t0.4924045\n",
      "['puzzle', '0.0210923', 'toy', '0.019447', 'ape_like_animal', '0.0750517']\n",
      "/home/ambika/INF_project/data/couch/235203.jpg\tpuzzle\t0.0210923\ttoy\t0.019447\tape_like_animal\t0.0750517\n",
      "['residence', '0.0813699', 'ship', '0.216628', 'airplane', '0.0446853']\n",
      "/home/ambika/INF_project/data/dog/225670.jpg\tresidence\t0.0813699\tship\t0.216628\tairplane\t0.0446853\n",
      "['horse', '0.0687016', 'cattle', '0.074522', 'dog', '0.2281899', 'elephant', '0.0835173']\n",
      "/home/ambika/INF_project/data/horse/345209.jpg\thorse\t0.0687016\tcattle\t0.074522\tdog\t0.2281899\telephant\t0.0835173\n",
      "['bike', '0.00192649', 'ball', '0.003023982', 'sports_equipment', '0.990711', 'person', '0.00124488']\n",
      "/home/ambika/INF_project/data/person/484575.jpg\tbike\t0.00192649\tball\t0.003023982\tsports_equipment\t0.990711\tperson\t0.00124488\n",
      "['mountain', '0.280586', 'train', '0.0393082', 'bike', '0.129683', 'car', '0.0887215']\n",
      "/home/ambika/INF_project/data/train/14450.jpg\tmountain\t0.280586\ttrain\t0.0393082\tbike\t0.129683\tcar\t0.0887215\n",
      "['building', '0.0368263', 'airplane_wing', '0.0453417', 'airplane', '0.5962171']\n",
      "/home/ambika/INF_project/data/airplane/190676.jpg\tbuilding\t0.0368263\tairplane_wing\t0.0453417\tairplane\t0.5962171\n",
      "['shelter', '0.148645', 'place_of_worship', '0.0897567', 'tower', '0.549958', 'reservoir', '0.072108', 'clock', '0.0619755']\n",
      "/home/ambika/INF_project/data/bird/316031.jpg\tshelter\t0.148645\tplace_of_worship\t0.0897567\ttower\t0.549958\treservoir\t0.072108\tclock\t0.0619755\n",
      "['bus', '0.9654104', 'train', '0.00769052']\n",
      "/home/ambika/INF_project/data/bus/534036.jpg\tbus\t0.9654104\ttrain\t0.00769052\n",
      "['car', '0.4370184', 'bus', '0.4326641']\n",
      "/home/ambika/INF_project/data/car/519784.jpg\tcar\t0.4370184\tbus\t0.4326641\n",
      "['puzzle', '0.68637', 'calculator', '0.0373166', 'electronic_device', '0.0526252']\n",
      "/home/ambika/INF_project/data/cat/248591.jpg\tpuzzle\t0.68637\tcalculator\t0.0373166\telectronic_device\t0.0526252\n",
      "['hat', '0.141186', 'dog', '0.3675528']\n",
      "/home/ambika/INF_project/data/couch/393547.jpg\that\t0.141186\tdog\t0.3675528\n",
      "['dog', '0.079078']\n",
      "home/ambika/INF_project/data/dog/567535.jpg\tdog\t0.079078\n",
      "['horse', '0.4808686', 'dog', '0.0303692', 'cattle', '0.104795']\n",
      "/home/ambika/INF_project/data/horse/394840.jpg\thorse\t0.4808686\tdog\t0.0303692\tcattle\t0.104795\n",
      "['shop', '0.2636802', 'crab', '0.0727466', 'frozen_dessert', '0.0505181']\n",
      "/home/ambika/INF_project/data/person/88913.jpg\tshop\t0.2636802\tcrab\t0.0727466\tfrozen_dessert\t0.0505181\n",
      "['farm_machine', '1.37205e-05', 'train', '0.999880851']\n",
      "/home/ambika/INF_project/data/train/265579.jpg\tfarm_machine\t1.37205e-05\ttrain\t0.999880851\n",
      "['airplane_wing', '0.196001', 'airplane', '0.684064', 'bird', '0.0444937']\n",
      "/home/ambika/INF_project/data/airplane/230232.jpg\tairplane_wing\t0.196001\tairplane\t0.684064\tbird\t0.0444937\n",
      "['ship', '0.03060184', 'boat', '0.02264454']\n",
      "/home/ambika/INF_project/data/bird/315432.jpg\tship\t0.03060184\tboat\t0.02264454\n",
      "['bus', '0.695565', 'train', '0.101559', 'car', '0.1886838']\n",
      "/home/ambika/INF_project/data/bus/405205.jpg\tbus\t0.695565\ttrain\t0.101559\tcar\t0.1886838\n",
      "['light', '0.643458', 'shed', '0.0323905', 'lifting_device', '0.0473995', 'ship', '0.0250455']\n",
      "/home/ambika/INF_project/data/car/437423.jpg\tlight\t0.643458\tshed\t0.0323905\tlifting_device\t0.0473995\tship\t0.0250455\n",
      "['bag', '0.325291', 'dog', '0.0564663', 'bedclothes', '0.140396', 'fabric', '0.0491365']\n",
      "/home/ambika/INF_project/data/cat/195889.jpg\tbag\t0.325291\tdog\t0.0564663\tbedclothes\t0.140396\tfabric\t0.0491365\n",
      "['building', '0.591599', 'shop', '0.0309698', 'game_equipment', '0.0599779', 'furniture', '0.100177']\n",
      "/home/ambika/INF_project/data/couch/435880.jpg\tbuilding\t0.591599\tshop\t0.0309698\tgame_equipment\t0.0599779\tfurniture\t0.100177\n",
      "['person', '0.110704', 'computer', '0.135455', 'board', '0.0273132', 'ball', '0.0668083', 'dog', '0.0208637']\n",
      "/home/ambika/INF_project/data/dog/355183.jpg\tperson\t0.110704\tcomputer\t0.135455\tboard\t0.0273132\tball\t0.0668083\tdog\t0.0208637\n",
      "['sheep', '0.101389', 'antelope', '0.3726362', 'cattle', '0.0513995', 'camel', '0.120269']\n",
      "/home/ambika/INF_project/data/horse/324476.jpg\tsheep\t0.101389\tantelope\t0.3726362\tcattle\t0.0513995\tcamel\t0.120269\n",
      "['helmet', '0.0583131', 'airplane', '0.0937072', 'farm_machine', '0.076075']\n",
      "/home/ambika/INF_project/data/person/345136.jpg\thelmet\t0.0583131\tairplane\t0.0937072\tfarm_machine\t0.076075\n",
      "['car', '0.0323234', 'airplane', '0.0378965', 'train', '0.650239']\n",
      "/home/ambika/INF_project/data/train/543577.jpg\tcar\t0.0323234\tairplane\t0.0378965\ttrain\t0.650239\n",
      "['bag', '0.0507285', 'heater', '0.0462701', 'shoe', '0.0979416', 'electronic_equipment', '0.0508564']\n",
      "/home/ambika/INF_project/data/airplane/1342.jpg\tbag\t0.0507285\theater\t0.0462701\tshoe\t0.0979416\telectronic_equipment\t0.0508564\n",
      "['whale', '0.338775', 'dolphin', '0.0375334', 'shore', '0.161584', 'sandbar', '0.147571']\n",
      "/home/ambika/INF_project/data/bird/101280.jpg\twhale\t0.338775\tdolphin\t0.0375334\tshore\t0.161584\tsandbar\t0.147571\n",
      "['bus', '0.449835', 'train', '0.346376', 'truck', '0.0127228', 'car', '0.175903']\n",
      "/home/ambika/INF_project/data/bus/354027.jpg\tbus\t0.449835\ttrain\t0.346376\ttruck\t0.0127228\tcar\t0.175903\n",
      "[]\n",
      "/home/ambika/INF_project/data/car/405675.jpg\n",
      "['basket', '0.0911256', 'bowl', '0.0554466', 'wash_basin', '0.168505', 'cat', '0.228247']\n",
      "/home/ambika/INF_project/data/cat/97156.jpg\tbasket\t0.0911256\tbowl\t0.0554466\twash_basin\t0.168505\tcat\t0.228247\n",
      "['dog', '0.8857882']\n",
      "/home/ambika/INF_project/data/couch/395550.jpg\tdog\t0.8857882\n",
      "['game_equipment', '0.0740475', 'cushion', '0.0373457', 'bedclothes', '0.235647', 'bed', '0.0599893', 'couch', '0.331782']\n",
      "/home/ambika/INF_project/data/dog/529256.jpg\tgame_equipment\t0.0740475\tcushion\t0.0373457\tbedclothes\t0.235647\tbed\t0.0599893\tcouch\t0.331782\n",
      "['coat', '0.05116', 'dog', '0.0540043', 'shop', '0.0331703', 'gown', '0.0321919']\n",
      "/home/ambika/INF_project/data/horse/297910.jpg\tcoat\t0.05116\tdog\t0.0540043\tshop\t0.0331703\tgown\t0.0321919\n",
      "['building', '0.0364841', 'shop', '0.0356572']\n",
      "/home/ambika/INF_project/data/person/11703.jpg\tbuilding\t0.0364841\tshop\t0.0356572\n",
      "['bridge', '0.95333995']\n",
      "/home/ambika/INF_project/data/train/216695.jpg\tbridge\t0.95333995\n",
      "['airplane_wing', '0.05423', 'airplane', '0.7947439']\n",
      "/home/ambika/INF_project/data/airplane/333365.jpg\tairplane_wing\t0.05423\tairplane\t0.7947439\n",
      "['airplane', '0.0957672', 'bird', '0.81943596']\n",
      "/home/ambika/INF_project/data/bird/310516.jpg\tairplane\t0.0957672\tbird\t0.81943596\n",
      "['place_of_worship', '0.101434', 'lamp', '0.0332672', 'astronomical_telescope', '0.0361855']\n",
      "/home/ambika/INF_project/data/bus/114673.jpg\tplace_of_worship\t0.101434\tlamp\t0.0332672\tastronomical_telescope\t0.0361855\n",
      "['fence', '0.0234739', 'tripod', '0.0379426']\n",
      "/home/ambika/INF_project/data/car/119166.jpg\tfence\t0.0234739\ttripod\t0.0379426\n",
      "['tissue', '0.0275938', 'towel', '0.0355007', 'dog', '0.347196', 'cat', '0.0527595']\n",
      "/home/ambika/INF_project/data/cat/569333.jpg\ttissue\t0.0275938\ttowel\t0.0355007\tdog\t0.347196\tcat\t0.0527595\n",
      "['jar', '0.189628', 'flower', '0.466463', 'container', '0.227754', 'fence', '0.0506693']\n",
      "/home/ambika/INF_project/data/couch/435075.jpg\tjar\t0.189628\tflower\t0.466463\tcontainer\t0.227754\tfence\t0.0506693\n",
      "['dog', '0.1231475']\n",
      "/home/ambika/INF_project/data/dog/171494.jpg\tdog\t0.1231475\n",
      "['memorial', '0.0703708', 'clock', '0.0361734', 'camel', '0.0404746']\n",
      "/home/ambika/INF_project/data/horse/82396.jpg\tmemorial\t0.0703708\tclock\t0.0361734\tcamel\t0.0404746\n",
      "['bike', '0.9502971']\n",
      "/home/ambika/INF_project/data/person/262394.jpg\tbike\t0.9502971\n",
      "['car', '0.48993', 'train', '0.0375519', 'dwelling', '0.0206248', 'farm_building', '0.0280573', 'roof', '0.094897']\n",
      "/home/ambika/INF_project/data/train/279933.jpg\tcar\t0.48993\ttrain\t0.0375519\tdwelling\t0.0206248\tfarm_building\t0.0280573\troof\t0.094897\n",
      "['case', '0.194362', 'piece_of_cloth', '0.0839392', 'bag', '0.0606389']\n",
      "/home/ambika/INF_project/data/airplane/293011.jpg\tcase\t0.194362\tpiece_of_cloth\t0.0839392\tbag\t0.0606389\n",
      "['bird', '0.2937424', 'fence', '0.0354198']\n",
      "/home/ambika/INF_project/data/bird/396252.jpg\tbird\t0.2937424\tfence\t0.0354198\n",
      "['bus', '0.56013', 'train', '0.0675421', 'truck', '0.106566', 'car', '0.0684652']\n",
      "/home/ambika/INF_project/data/bus/577024.jpg\tbus\t0.56013\ttrain\t0.0675421\ttruck\t0.106566\tcar\t0.0684652\n",
      "['light', '0.623705', 'truck', '0.0269801', 'bus', '0.0196352', 'car', '0.2618644']\n",
      "/home/ambika/INF_project/data/car/138768.jpg\tlight\t0.623705\ttruck\t0.0269801\tbus\t0.0196352\tcar\t0.2618644\n",
      "['dog', '0.5912454']\n",
      "/home/ambika/INF_project/data/cat/129139.jpg\tdog\t0.5912454\n",
      "['portable_computer', '0.0305351', 'hairpiece', '0.106591', 'toiletry', '0.0613585', 'blower', '0.0921195']\n",
      "/home/ambika/INF_project/data/couch/186276.jpg\tportable_computer\t0.0305351\thairpiece\t0.106591\ttoiletry\t0.0613585\tblower\t0.0921195\n",
      "['sheep', '0.099959', 'horse', '0.11627', 'buffalo', '0.127925', 'dog', '0.162784', 'cattle', '0.0920765']\n",
      "/home/ambika/INF_project/data/dog/237881.jpg\tsheep\t0.099959\thorse\t0.11627\tbuffalo\t0.127925\tdog\t0.162784\tcattle\t0.0920765\n",
      "['fortification', '0.0662113', 'residence', '0.156412', 'horse', '0.0794806', 'train', '0.205614', 'religious_residence', '0.0504283']\n",
      "/home/ambika/INF_project/data/horse/288633.jpg\tfortification\t0.0662113\tresidence\t0.156412\thorse\t0.0794806\ttrain\t0.205614\treligious_residence\t0.0504283\n",
      "['mountain', '0.00189237', 'ski', '0.975213']\n",
      "home/ambika/INF_project/data/person/95113.jpg\tmountain\t0.00189237\tski\t0.975213\n",
      "['car', '0.157962', 'train', '0.596255', 'truck', '0.0548208']\n",
      "/home/ambika/INF_project/data/train/416827.jpg\tcar\t0.157962\ttrain\t0.596255\ttruck\t0.0548208\n",
      "['bridge', '0.282046', 'door', '0.0311479', 'display', '0.0287369', 'electronic_equipment', '0.0614339']\n",
      "/home/ambika/INF_project/data/airplane/533805.jpg\tbridge\t0.282046\tdoor\t0.0311479\tdisplay\t0.0287369\telectronic_equipment\t0.0614339\n",
      "['astronomical_telescope', '0.622084', 'fodder', '0.08379', 'ball', '0.0212861', 'truck', '0.0236599', 'farm_machine', '0.04211']\n",
      "/home/ambika/INF_project/data/bird/2923.jpg\tastronomical_telescope\t0.622084\tfodder\t0.08379\tball\t0.0212861\ttruck\t0.0236599\tfarm_machine\t0.04211\n",
      "['pump', '0.0384785', 'measuring_instrument', '0.0668578', 'telephone', '0.187588']\n",
      "/home/ambika/INF_project/data/bus/32941.jpg\tpump\t0.0384785\tmeasuring_instrument\t0.0668578\ttelephone\t0.187588\n",
      "['musical_instrument', '0.0159582', 'bike', '0.0786814']\n",
      "/home/ambika/INF_project/data/car/73182.jpg\tmusical_instrument\t0.0159582\tbike\t0.0786814\n",
      "['shop', '0.401301', 'building', '0.1456159', 'slot_machine', '0.0704309', 'furniture', '0.102885']\n",
      "/home/ambika/INF_project/data/cat/427965.jpg\tshop\t0.401301\tbuilding\t0.1456159\tslot_machine\t0.0704309\tfurniture\t0.102885\n",
      "['building', '0.0711994', 'table', '0.2011374', 'television', '0.0593763', 'couch', '0.297484']\n",
      "/home/ambika/INF_project/data/couch/444207.jpg\tbuilding\t0.0711994\ttable\t0.2011374\ttelevision\t0.0593763\tcouch\t0.297484\n",
      "['piano', '0.0285037', 'home_appliance', '0.0484038', 'dog', '0.183069']\n",
      "/home/ambika/INF_project/data/dog/523403.jpg\tpiano\t0.0285037\thome_appliance\t0.0484038\tdog\t0.183069\n",
      "['buffalo', '0.0762592', 'dog', '0.129254', 'cattle', '0.257967']\n",
      "/home/ambika/INF_project/data/horse/507719.jpg\tbuffalo\t0.0762592\tdog\t0.129254\tcattle\t0.257967\n",
      "['coat', '0.544026', 'train', '0.0157469', 'gate', '0.0238183']\n",
      "/home/ambika/INF_project/data/person/260994.jpg\tcoat\t0.544026\ttrain\t0.0157469\tgate\t0.0238183\n",
      "['musical_instrument', '0.0579171', 'shop', '0.0745282', 'piano', '0.1810238']\n",
      "/home/ambika/INF_project/data/train/330316.jpg\tmusical_instrument\t0.0579171\tshop\t0.0745282\tpiano\t0.1810238\n",
      "['building', '0.142524', 'car', '0.242932', 'truck', '0.0748349', 'light', '0.0916766']\n",
      "/home/ambika/INF_project/data/airplane/39484.jpg\tbuilding\t0.142524\tcar\t0.242932\ttruck\t0.0748349\tlight\t0.0916766\n",
      "['truck', '0.0503007', 'horse', '0.0791389', 'military_vehicle', '0.122283', 'farm_machine', '0.0489778']\n",
      "/home/ambika/INF_project/data/bird/511076.jpg\ttruck\t0.0503007\thorse\t0.0791389\tmilitary_vehicle\t0.122283\tfarm_machine\t0.0489778\n",
      "['bus', '0.217193', 'train', '0.0764901', 'truck', '0.3490259', 'car', '0.126377']\n",
      "/home/ambika/INF_project/data/bus/110138.jpg\tbus\t0.217193\ttrain\t0.0764901\ttruck\t0.3490259\tcar\t0.126377\n",
      "['building', '0.00105298', 'light', '0.98705', 'bus', '0.00107365', 'car', '0.00312567']\n",
      "/home/ambika/INF_project/data/car/230915.jpg\tbuilding\t0.00105298\tlight\t0.98705\tbus\t0.00107365\tcar\t0.00312567\n",
      "['horse', '0.148337', 'dog', '0.4019811']\n",
      "/home/ambika/INF_project/data/cat/291257.jpg\thorse\t0.148337\tdog\t0.4019811\n",
      "['portable_computer', '0.1239628', 'calculator', '0.0483549', 'electronic_device', '0.134052']\n",
      "/home/ambika/INF_project/data/couch/546717.jpg\tportable_computer\t0.1239628\tcalculator\t0.0483549\telectronic_device\t0.134052\n",
      "['window_blind', '0.0567984', 'door', '0.239376', 'wash_basin', '0.0785947', 'furniture', '0.3749489']\n",
      "/home/ambika/INF_project/data/dog/475923.jpg\twindow_blind\t0.0567984\tdoor\t0.239376\twash_basin\t0.0785947\tfurniture\t0.3749489\n",
      "['antelope', '0.00511553', 'horse', '0.939912', 'dog', '0.0347255']\n",
      "/home/ambika/INF_project/data/horse/113579.jpg\tantelope\t0.00511553\thorse\t0.939912\tdog\t0.0347255\n",
      "['light', '0.10799', 'memorial', '0.0702968', 'bike', '0.0880215', 'timepiece', '0.0552165']\n",
      "/home/ambika/INF_project/data/person/9274.jpg\tlight\t0.10799\tmemorial\t0.0702968\tbike\t0.0880215\ttimepiece\t0.0552165\n",
      "['car', '0.00209387', 'train', '0.997839073']\n",
      "/home/ambika/INF_project/data/train/138196.jpg\tcar\t0.00209387\ttrain\t0.997839073\n",
      "['airplane_wing', '0.0719098', 'airplane', '0.77553', 'bird', '0.0350611']\n",
      "/home/ambika/INF_project/data/airplane/443450.jpg\tairplane_wing\t0.0719098\tairplane\t0.77553\tbird\t0.0350611\n",
      "['bird', '0.9746379']\n",
      "/home/ambika/INF_project/data/bird/98261.jpg\tbird\t0.9746379\n",
      "['bus', '0.56836', 'train', '0.089947', 'truck', '0.1093', 'car', '0.0835308']\n",
      "/home/ambika/INF_project/data/bus/503667.jpg\tbus\t0.56836\ttrain\t0.089947\ttruck\t0.1093\tcar\t0.0835308\n",
      "['horse', '0.305274', 'train', '0.0737266', 'farm_machine', '0.0808463', 'camel', '0.0714747']\n",
      "/home/ambika/INF_project/data/car/353807.jpg\thorse\t0.305274\ttrain\t0.0737266\tfarm_machine\t0.0808463\tcamel\t0.0714747\n",
      "['dog', '0.5676054']\n",
      "/home/ambika/INF_project/data/cat/406211.jpg\tdog\t0.5676054\n",
      "['home_appliance', '0.05329', 'skirt', '0.059263', 'shoe', '0.0217689']\n",
      "/home/ambika/INF_project/data/couch/180289.jpg\thome_appliance\t0.05329\tskirt\t0.059263\tshoe\t0.0217689\n",
      "['dog', '0.5921146']\n",
      "/home/ambika/INF_project/data/dog/305684.jpg\tdog\t0.5921146\n",
      "['bike', '0.0322904', 'ride', '0.0267695', 'ball', '0.0425299', 'dog', '0.0291027', 'camel', '0.0368353']\n",
      "/home/ambika/INF_project/data/horse/212647.jpg\tbike\t0.0322904\tride\t0.0267695\tball\t0.0425299\tdog\t0.0291027\tcamel\t0.0368353\n",
      "['fortification', '0.219856', 'residence', '0.118436', 'religious_residence', '0.0544232', 'place_of_worship', '0.0926108']\n",
      "/home/ambika/INF_project/data/person/495626.jpg\tfortification\t0.219856\tresidence\t0.118436\treligious_residence\t0.0544232\tplace_of_worship\t0.0926108\n",
      "['bus', '0.0573907', 'shed', '0.0663758', 'train', '0.0930118', 'car', '0.0524834']\n",
      "/home/ambika/INF_project/data/train/483469.jpg\tbus\t0.0573907\tshed\t0.0663758\ttrain\t0.0930118\tcar\t0.0524834\n",
      "['airplane_wing', '0.139742', 'airplane', '0.8293724', 'spacecraft', '0.0143422']\n",
      "/home/ambika/INF_project/data/airplane/422807.jpg\tairplane_wing\t0.139742\tairplane\t0.8293724\tspacecraft\t0.0143422\n",
      "['bird', '0.9597286']\n",
      "/home/ambika/INF_project/data/bird/175774.jpg\tbird\t0.9597286\n",
      "['bus', '0.539475', 'truck', '0.0286887', 'car', '0.35632']\n",
      "/home/ambika/INF_project/data/bus/244344.jpg\tbus\t0.539475\ttruck\t0.0286887\tcar\t0.35632\n",
      "['airplane', '0.06094', 'bike', '0.0620109', 'reservoir', '0.0912767']\n",
      "/home/ambika/INF_project/data/car/571920.jpg\tairplane\t0.06094\tbike\t0.0620109\treservoir\t0.0912767\n",
      "['building', '0.050472', 'door', '0.0348', 'furniture', '0.1731235']\n",
      "/home/ambika/INF_project/data/cat/243344.jpg\tbuilding\t0.050472\tdoor\t0.0348\tfurniture\t0.1731235\n",
      "['heater', '0.0243333', 'towel', '0.0276581', 'dog', '0.2026407']\n",
      "/home/ambika/INF_project/data/couch/508899.jpg\theater\t0.0243333\ttowel\t0.0276581\tdog\t0.2026407\n",
      "['dog', '0.9000235']\n",
      "/home/ambika/INF_project/data/dog/403421.jpg\tdog\t0.9000235\n",
      "['rail_fence', '0.0820866', 'person', '0.0816133', 'elephant', '0.0506224', 'bench', '0.116931']\n",
      "/home/ambika/INF_project/data/horse/263136.jpg\trail_fence\t0.0820866\tperson\t0.0816133\telephant\t0.0506224\tbench\t0.116931\n",
      "['shore', '0.7729722', 'shed', '0.092571']\n",
      "/home/ambika/INF_project/data/person/276254.jpg\tshore\t0.7729722\tshed\t0.092571\n",
      "['shelter', '0.2619712', 'reservoir', '0.064607', 'roof', '0.18661']\n",
      "/home/ambika/INF_project/data/train/5033.jpg\tshelter\t0.2619712\treservoir\t0.064607\troof\t0.18661\n",
      "['car', '0.0719296', 'airplane', '0.4605972', 'boat', '0.0697514']\n",
      "/home/ambika/INF_project/data/airplane/555953.jpg\tcar\t0.0719296\tairplane\t0.4605972\tboat\t0.0697514\n",
      "['place_of_worship', '0.478314', 'shelter', '0.18446', 'religious_residence', '0.145646', 'clock', '0.1660423']\n",
      "/home/ambika/INF_project/data/bird/418297.jpg\tplace_of_worship\t0.478314\tshelter\t0.18446\treligious_residence\t0.145646\tclock\t0.1660423\n",
      "['bridge', '0.0525572', 'shed', '0.0408638']\n",
      "/home/ambika/INF_project/data/bus/236739.jpg\tbridge\t0.0525572\tshed\t0.0408638\n",
      "['gown', '0.00858232', 'dwelling', '0.90573', 'boat', '0.00635726']\n",
      "home/ambika/INF_project/data/car/549299.jpg\tgown\t0.00858232\tdwelling\t0.90573\tboat\t0.00635726\n",
      "['dog', '0.0908683', 'cat', '0.0366074']\n",
      "/home/ambika/INF_project/data/cat/408736.jpg\tdog\t0.0908683\tcat\t0.0366074\n",
      "['dish', '0.540987', 'table', '0.12105', 'building', '0.0739788', 'oven', '0.0651785']\n",
      "/home/ambika/INF_project/data/couch/57878.jpg\tdish\t0.540987\ttable\t0.12105\tbuilding\t0.0739788\toven\t0.0651785\n",
      "['ball', '0.0815894', 'dog', '0.2792272']\n",
      "/home/ambika/INF_project/data/dog/262736.jpg\tball\t0.0815894\tdog\t0.2792272\n",
      "['horse', '0.887451', 'camel', '0.00595612', 'armored_vehicle', '0.00632517', 'cattle', '0.0707651']\n",
      "/home/ambika/INF_project/data/horse/430788.jpg\thorse\t0.887451\tcamel\t0.00595612\tarmored_vehicle\t0.00632517\tcattle\t0.0707651\n",
      "['bike', '0.7283011', 'frozen_dessert', '0.0370605']\n",
      "/home/ambika/INF_project/data/person/271402.jpg\tbike\t0.7283011\tfrozen_dessert\t0.0370605\n",
      "['spacecraft', '0.084889', 'train', '0.0431607', 'ship', '0.0787363']\n",
      "/home/ambika/INF_project/data/train/276886.jpg\tspacecraft\t0.084889\ttrain\t0.0431607\tship\t0.0787363\n",
      "['airplane_wing', '0.932463', 'natural_elevation', '0.00422794', 'airplane', '0.00294166', 'mountain', '0.03503986']\n",
      "/home/ambika/INF_project/data/airplane/51495.jpg\tairplane_wing\t0.932463\tnatural_elevation\t0.00422794\tairplane\t0.00294166\tmountain\t0.03503986\n",
      "['rail_fence', '0.109369', 'memorial', '0.0485455', 'fence', '0.282305']\n",
      "/home/ambika/INF_project/data/bird/164104.jpg\trail_fence\t0.109369\tmemorial\t0.0485455\tfence\t0.282305\n",
      "['helmet', '0.0363458', 'bike', '0.9584885']\n",
      "/home/ambika/INF_project/data/bus/344862.jpg\thelmet\t0.0363458\tbike\t0.9584885\n",
      "['television', '0.102203', 'electronic_equipment', '0.024149', 'kitchen_appliance', '0.0273989', 'mirror', '0.514554']\n",
      "/home/ambika/INF_project/data/car/428116.jpg\ttelevision\t0.102203\telectronic_equipment\t0.024149\tkitchen_appliance\t0.0273989\tmirror\t0.514554\n",
      "['dog', '0.1264714', 'roof', '0.0484472', 'cat', '0.055515']\n",
      "/home/ambika/INF_project/data/cat/14831.jpg\tdog\t0.1264714\troof\t0.0484472\tcat\t0.055515\n",
      "['shop', '0.282507', 'building', '0.0909338', 'furniture', '0.0491049', 'table', '0.0556382', 'electronic_equipment', '0.230997']\n",
      "/home/ambika/INF_project/data/couch/546934.jpg\tshop\t0.282507\tbuilding\t0.0909338\tfurniture\t0.0491049\ttable\t0.0556382\telectronic_equipment\t0.230997\n",
      "[]\n",
      "/home/ambika/INF_project/data/dog/243212.jpg\n",
      "['bench', '0.0417003', 'dog', '0.1477627', 'couch', '0.0500598']\n",
      "/home/ambika/INF_project/data/horse/127576.jpg\tbench\t0.0417003\tdog\t0.1477627\tcouch\t0.0500598\n",
      "['car', '0.0907558', 'train', '0.51549', 'truck', '0.176252']\n",
      "/home/ambika/INF_project/data/person/417217.jpg\tcar\t0.0907558\ttrain\t0.51549\ttruck\t0.176252\n",
      "['farm_machine', '0.2349727', 'train', '0.135383', 'factory', '0.16383']\n",
      "/home/ambika/INF_project/data/train/528595.jpg\tfarm_machine\t0.2349727\ttrain\t0.135383\tfactory\t0.16383\n",
      "['airplane', '0.0497849', 'boat', '0.0494131']\n",
      "/home/ambika/INF_project/data/airplane/129989.jpg\tairplane\t0.0497849\tboat\t0.0494131\n",
      "['bird', '0.99313447']\n",
      "/home/ambika/INF_project/data/bird/436695.jpg\tbird\t0.99313447\n",
      "['light', '0.046048', 'train', '0.163659', 'truck', '0.244966']\n",
      "/home/ambika/INF_project/data/bus/133503.jpg\tlight\t0.046048\ttrain\t0.163659\ttruck\t0.244966\n",
      "['dog', '0.371184']\n",
      "/home/ambika/INF_project/data/car/389410.jpg\tdog\t0.371184\n",
      "['dog', '0.3660609']\n",
      "/home/ambika/INF_project/data/cat/2988.jpg\tdog\t0.3660609\n",
      "['table', '0.0721246', 'furniture', '0.0746107', 'wash_basin', '0.124329', 'bed', '0.0802647', 'couch', '0.0769783']\n",
      "/home/ambika/INF_project/data/couch/568041.jpg\ttable\t0.0721246\tfurniture\t0.0746107\twash_basin\t0.124329\tbed\t0.0802647\tcouch\t0.0769783\n",
      "['shore', '0.136266', 'cap', '0.0919167', 'dog', '0.0742235']\n",
      "/home/ambika/INF_project/data/dog/391463.jpg\tshore\t0.136266\tcap\t0.0919167\tdog\t0.0742235\n",
      "['horse', '0.0763901', 'dog', '0.1221459', 'camel', '0.337708']\n",
      "/home/ambika/INF_project/data/horse/170173.jpg\thorse\t0.0763901\tdog\t0.1221459\tcamel\t0.337708\n",
      "['bin', '0.008255', 'pump', '0.36574', 'telephone', '0.505452']\n",
      "/home/ambika/INF_project/data/person/274852.jpg\tbin\t0.008255\tpump\t0.36574\ttelephone\t0.505452\n",
      "['train', '0.9984507', 'truck', '0.000588094']\n",
      "/home/ambika/INF_project/data/train/365386.jpg\ttrain\t0.9984507\ttruck\t0.000588094\n",
      "['airplane_wing', '0.131812', 'airplane', '0.844184941', 'spacecraft', '0.0210765']\n",
      "/home/ambika/INF_project/data/airplane/393858.jpg\tairplane_wing\t0.131812\tairplane\t0.844184941\tspacecraft\t0.0210765\n",
      "['antelope', '0.0864486', 'buffalo', '0.337618', 'horse', '0.0635295', 'elephant', '0.2037052']\n",
      "/home/ambika/INF_project/data/bird/87581.jpg\tantelope\t0.0864486\tbuffalo\t0.337618\thorse\t0.0635295\telephant\t0.2037052\n",
      "['bus', '0.963648', 'train', '0.0025929', 'truck', '0.00185607', 'car', '0.02138373']\n",
      "/home/ambika/INF_project/data/bus/127520.jpg\tbus\t0.963648\ttrain\t0.0025929\ttruck\t0.00185607\tcar\t0.02138373\n",
      "['ship', '0.0854152', 'truck', '0.0490019', 'airplane', '0.0584397']\n",
      "/home/ambika/INF_project/data/car/495993.jpg\tship\t0.0854152\ttruck\t0.0490019\tairplane\t0.0584397\n",
      "['rodent', '0.0314263', 'dog', '0.0559456', 'rabbit', '0.556432', 'cat', '0.121655']\n",
      "/home/ambika/INF_project/data/cat/75742.jpg\trodent\t0.0314263\tdog\t0.0559456\trabbit\t0.556432\tcat\t0.121655\n",
      "['portable_computer', '0.511932', 'piano', '0.101306', 'calculator', '0.0202708', 'dog', '0.0347722']\n",
      "/home/ambika/INF_project/data/couch/556862.jpg\tportable_computer\t0.511932\tpiano\t0.101306\tcalculator\t0.0202708\tdog\t0.0347722\n",
      "['building', '0.0417057', 'table', '0.224202', 'television', '0.0370684', 'entertainment_center', '0.042335', 'furniture', '0.382979']\n",
      "/home/ambika/INF_project/data/dog/107656.jpg\tbuilding\t0.0417057\ttable\t0.224202\ttelevision\t0.0370684\tentertainment_center\t0.042335\tfurniture\t0.382979\n",
      "['horse', '0.0494177', 'dog', '0.2201141', 'sled', '0.109958']\n",
      "/home/ambika/INF_project/data/horse/189631.jpg\thorse\t0.0494177\tdog\t0.2201141\tsled\t0.109958\n",
      "['bird', '0.6716786', 'sandbar', '0.0375304']\n",
      "/home/ambika/INF_project/data/person/533227.jpg\tbird\t0.6716786\tsandbar\t0.0375304\n",
      "['car', '0.2150495', 'train', '0.0699832', 'truck', '0.189903', 'bus', '0.0327635']\n",
      "/home/ambika/INF_project/data/train/542257.jpg\tcar\t0.2150495\ttrain\t0.0699832\ttruck\t0.189903\tbus\t0.0327635\n",
      "['airplane_wing', '0.0177552', 'airplane', '0.982157643', 'spacecraft', '8.67915e-05']\n",
      "/home/ambika/INF_project/data/airplane/570001.jpg\tairplane_wing\t0.0177552\tairplane\t0.982157643\tspacecraft\t8.67915e-05\n",
      "['sea_turtle', '0.056711', 'bird', '0.5053074']\n",
      "/home/ambika/INF_project/data/bird/152823.jpg\tsea_turtle\t0.056711\tbird\t0.5053074\n",
      "['bus', '0.69533802', 'pump', '0.0146776', 'train', '0.154024', 'car', '0.0972747']\n",
      "/home/ambika/INF_project/data/bus/38817.jpg\tbus\t0.69533802\tpump\t0.0146776\ttrain\t0.154024\tcar\t0.0972747\n",
      "['building', '0.0732319', 'gate', '0.0814749', 'ball', '0.0259829', 'telephone', '0.0638851', 'couch', '0.0260155']\n",
      "/home/ambika/INF_project/data/car/314154.jpg\tbuilding\t0.0732319\tgate\t0.0814749\tball\t0.0259829\ttelephone\t0.0638851\tcouch\t0.0260155\n",
      "['guinea_pig', '0.159163', 'dog', '0.2511457']\n",
      "/home/ambika/INF_project/data/cat/578632.jpg\tguinea_pig\t0.159163\tdog\t0.2511457\n",
      "['bedclothes', '0.714805', 'cushion', '0.0277902', 'dog', '0.0474618']\n",
      "/home/ambika/INF_project/data/couch/490725.jpg\tbedclothes\t0.714805\tcushion\t0.0277902\tdog\t0.0474618\n",
      "['dog', '0.2378724', 'sled', '0.101532']\n",
      "/home/ambika/INF_project/data/dog/424162.jpg\tdog\t0.2378724\tsled\t0.101532\n",
      "['horse', '0.02492576', 'uniform', '0.00381498', 'cattle', '0.0137949']\n",
      "/home/ambika/INF_project/data/horse/44612.jpg\thorse\t0.02492576\tuniform\t0.00381498\tcattle\t0.0137949\n",
      "['fodder', '0.0333636', 'ball', '0.7199005', 'bird', '0.0541902']\n",
      "/home/ambika/INF_project/data/person/46882.jpg\tfodder\t0.0333636\tball\t0.7199005\tbird\t0.0541902\n",
      "['building', '0.0855916', 'car', '0.150134', 'train', '0.1507126', 'electronic_equipment', '0.0624123']\n",
      "/home/ambika/INF_project/data/train/27874.jpg\tbuilding\t0.0855916\tcar\t0.150134\ttrain\t0.1507126\telectronic_equipment\t0.0624123\n",
      "['airplane_wing', '0.0284282', 'airplane', '0.94084971', 'armored_vehicle', '0.00602528', 'bird', '0.00471025']\n",
      "/home/ambika/INF_project/data/airplane/342490.jpg\tairplane_wing\t0.0284282\tairplane\t0.94084971\tarmored_vehicle\t0.00602528\tbird\t0.00471025\n",
      "['horse', '0.712712', 'bird', '0.03494109', 'cat', '0.2351981']\n",
      "/home/ambika/INF_project/data/bird/435569.jpg\thorse\t0.712712\tbird\t0.03494109\tcat\t0.2351981\n",
      "['bus', '0.318061', 'truck', '0.4431573']\n",
      "/home/ambika/INF_project/data/bus/412349.jpg\tbus\t0.318061\ttruck\t0.4431573\n",
      "['shore', '0.047907', 'skirt', '0.0338057', 'fodder', '0.0417118', 'sandbar', '0.0868079', 'swimsuit', '0.0517533']\n",
      "/home/ambika/INF_project/data/car/66485.jpg\tshore\t0.047907\tskirt\t0.0338057\tfodder\t0.0417118\tsandbar\t0.0868079\tswimsuit\t0.0517533\n",
      "['table', '0.238899', 'personal_computer', '0.172217', 'computer', '0.0643477', 'display', '0.050121', 'electronic_equipment', '0.196462']\n",
      "/home/ambika/INF_project/data/cat/108681.jpg\ttable\t0.238899\tpersonal_computer\t0.172217\tcomputer\t0.0643477\tdisplay\t0.050121\telectronic_equipment\t0.196462\n",
      "['bag', '0.0534669', 'couch', '0.322373']\n",
      "/home/ambika/INF_project/data/couch/233236.jpg\tbag\t0.0534669\tcouch\t0.322373\n",
      "['building', '0.183348', 'personal_computer', '0.0654882', 'television', '0.186393', 'entertainment_center', '0.0683173', 'electronic_equipment', '0.114982']\n",
      "/home/ambika/INF_project/data/dog/179441.jpg\tbuilding\t0.183348\tpersonal_computer\t0.0654882\ttelevision\t0.186393\tentertainment_center\t0.0683173\telectronic_equipment\t0.114982\n",
      "['coat', '0.0368591', 'horse', '0.2080801', 'dog', '0.0340249', 'cattle', '0.0379621']\n",
      "/home/ambika/INF_project/data/horse/71284.jpg\tcoat\t0.0368591\thorse\t0.2080801\tdog\t0.0340249\tcattle\t0.0379621\n",
      "['airplane', '0.0264167', 'portable_computer', '0.0247913', 'sports_equipment', '0.0486723', 'bird', '0.0261224']\n",
      "/home/ambika/INF_project/data/person/377385.jpg\tairplane\t0.0264167\tportable_computer\t0.0247913\tsports_equipment\t0.0486723\tbird\t0.0261224\n",
      "['car', '0.145171', 'train', '0.0423654', 'truck', '0.00801733']\n",
      "/home/ambika/INF_project/data/train/463605.jpg\tcar\t0.145171\ttrain\t0.0423654\ttruck\t0.00801733\n",
      "['airplane_wing', '0.839541', 'astronomical_telescope', '0.00383327', 'mountain', '0.1197848']\n",
      "/home/ambika/INF_project/data/airplane/278295.jpg\tairplane_wing\t0.839541\tastronomical_telescope\t0.00383327\tmountain\t0.1197848\n",
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      "/home/ambika/INF_project/data/car/129544.jpg\tmeasuring_instrument\t0.2758309\tclock\t0.672604\n",
      "['turtle', '0.5963814', 'dish', '0.051474']\n",
      "/home/ambika/INF_project/data/cat/483249.jpg\tturtle\t0.5963814\tdish\t0.051474\n",
      "['kitchen_appliance', '0.338384', 'furniture', '0.3861285']\n",
      "/home/ambika/INF_project/data/couch/171936.jpg\tkitchen_appliance\t0.338384\tfurniture\t0.3861285\n",
      "['dog', '0.4221781', 'ape_like_animal', '0.0999592']\n",
      "/home/ambika/INF_project/data/dog/164983.jpg\tdog\t0.4221781\tape_like_animal\t0.0999592\n",
      "['horse', '0.999679954', 'farm_machine', '3.05946e-05', 'cattle', '0.000211046']\n",
      "/home/ambika/INF_project/data/horse/291305.jpg\thorse\t0.999679954\tfarm_machine\t3.05946e-05\tcattle\t0.000211046\n",
      "['dish', '0.7426341']\n",
      "/home/ambika/INF_project/data/person/391891.jpg\tdish\t0.7426341\n",
      "['car', '0.9585326', 'truck', '0.0102701']\n",
      "/home/ambika/INF_project/data/train/227399.jpg\tcar\t0.9585326\ttruck\t0.0102701\n",
      "['airplane_wing', '0.142464', 'airplane', '0.4584095']\n",
      "/home/ambika/INF_project/data/airplane/308316.jpg\tairplane_wing\t0.142464\tairplane\t0.4584095\n",
      "['bird', '0.8820192']\n",
      "/home/ambika/INF_project/data/bird/437240.jpg\tbird\t0.8820192\n",
      "['bus', '0.712654', 'truck', '0.0363272', 'car', '0.135104']\n",
      "/home/ambika/INF_project/data/bus/394535.jpg\tbus\t0.712654\ttruck\t0.0363272\tcar\t0.135104\n",
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      "/home/ambika/INF_project/data/car/376628.jpg\tbuilding\t0.378735\tbike\t0.1918442\n",
      "['home_appliance', '0.0662953', 'dog', '0.0510367']\n",
      "/home/ambika/INF_project/data/cat/435299.jpg\thome_appliance\t0.0662953\tdog\t0.0510367\n",
      "['shop', '0.349573', 'dog', '0.012776', 'bed', '0.0165078']\n",
      "/home/ambika/INF_project/data/couch/439774.jpg\tshop\t0.349573\tdog\t0.012776\tbed\t0.0165078\n",
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      "/home/ambika/INF_project/data/dog/442565.jpg\tglass\t0.0581129\tpiano\t0.0513189\tgame_equipment\t0.0407646\tbottle\t0.0383594\n",
      "['horse', '0.8772424', 'camel', '0.0219118', 'cattle', '0.0482044']\n",
      "/home/ambika/INF_project/data/horse/354657.jpg\thorse\t0.8772424\tcamel\t0.0219118\tcattle\t0.0482044\n",
      "['horse', '0.0253228', 'bike', '0.8882829']\n",
      "/home/ambika/INF_project/data/person/581401.jpg\thorse\t0.0253228\tbike\t0.8882829\n",
      "['car', '0.037482', 'train', '0.962356986']\n",
      "/home/ambika/INF_project/data/train/89861.jpg\tcar\t0.037482\ttrain\t0.962356986\n",
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      "/home/ambika/INF_project/data/airplane/400922.jpg\tshop\t0.0537662\tairplane\t0.0501889\tclock\t0.0741921\tsign\t0.206571\n",
      "['ship', '0.09967217']\n",
      "/home/ambika/INF_project/data/bird/384215.jpg\tship\t0.09967217\n",
      "['bus', '0.9220496', 'car', '0.05059243']\n",
      "/home/ambika/INF_project/data/bus/571584.jpg\tbus\t0.9220496\tcar\t0.05059243\n",
      "['shore', '0.0723564', 'boat', '0.3223201']\n",
      "/home/ambika/INF_project/data/car/205720.jpg\tshore\t0.0723564\tboat\t0.3223201\n",
      "['dog', '0.424662']\n",
      "/home/ambika/INF_project/data/cat/189806.jpg\tdog\t0.424662\n",
      "['shop', '0.0307079', 'table', '0.0315724', 'kitchen_appliance', '0.334238', 'furniture', '0.1017894']\n",
      "/home/ambika/INF_project/data/couch/279265.jpg\tshop\t0.0307079\ttable\t0.0315724\tkitchen_appliance\t0.334238\tfurniture\t0.1017894\n",
      "['dog', '0.8123682']\n",
      "/home/ambika/INF_project/data/dog/142769.jpg\tdog\t0.8123682\n",
      "['place_of_worship', '0.443032', 'fortification', '0.290724', 'religious_residence', '0.0225587', 'residence', '0.023778']\n",
      "/home/ambika/INF_project/data/horse/138246.jpg\tplace_of_worship\t0.443032\tfortification\t0.290724\treligious_residence\t0.0225587\tresidence\t0.023778\n",
      "['boat', '0.8898596']\n",
      "home/ambika/INF_project/data/person/505080.jpg\tboat\t0.8898596\n",
      "['car', '4.35953e-05', 'train', '0.999956339083']\n",
      "/home/ambika/INF_project/data/train/166541.jpg\tcar\t4.35953e-05\ttrain\t0.999956339083\n",
      "['screen', '0.98110263', 'fan', '0.000909808']\n",
      "/home/ambika/INF_project/data/airplane/475710.jpg\tscreen\t0.98110263\tfan\t0.000909808\n",
      "['mountain', '0.310476', 'shore', '0.093155', 'snowmobile', '0.0852195', 'penguin', '0.142787']\n",
      "/home/ambika/INF_project/data/bird/432763.jpg\tmountain\t0.310476\tshore\t0.093155\tsnowmobile\t0.0852195\tpenguin\t0.142787\n",
      "['shop', '0.352263', 'car', '0.0517874', 'train', '0.0656462', 'oven', '0.0331989', 'uniform', '0.0354324']\n",
      "/home/ambika/INF_project/data/bus/463199.jpg\tshop\t0.352263\tcar\t0.0517874\ttrain\t0.0656462\toven\t0.0331989\tuniform\t0.0354324\n",
      "['car', '0.615611', 'light', '0.0160311', 'bus', '0.2610358']\n",
      "/home/ambika/INF_project/data/car/282366.jpg\tcar\t0.615611\tlight\t0.0160311\tbus\t0.2610358\n",
      "['bag', '0.0480048', 'puzzle', '0.0554661', 'cat', '0.637228']\n",
      "/home/ambika/INF_project/data/cat/185030.jpg\tbag\t0.0480048\tpuzzle\t0.0554661\tcat\t0.637228\n",
      "['table', '0.0730133', 'furniture', '0.0653116', 'door', '0.0963901', 'factory', '0.0749487', 'couch', '0.160863']\n",
      "/home/ambika/INF_project/data/couch/192616.jpg\ttable\t0.0730133\tfurniture\t0.0653116\tdoor\t0.0963901\tfactory\t0.0749487\tcouch\t0.160863\n",
      "['bike', '0.1253528', 'dog', '0.1822832']\n",
      "/home/ambika/INF_project/data/dog/210060.jpg\tbike\t0.1253528\tdog\t0.1822832\n",
      "['dog', '0.1965763', 'bear', '0.0400447']\n",
      "/home/ambika/INF_project/data/horse/242906.jpg\tdog\t0.1965763\tbear\t0.0400447\n",
      "['building', '0.0739168', 'person', '0.285641', 'dress', '0.0255138', 'musical_instrument', '0.0268773', 'couch', '0.0236983']\n",
      "/home/ambika/INF_project/data/person/310445.jpg\tbuilding\t0.0739168\tperson\t0.285641\tdress\t0.0255138\tmusical_instrument\t0.0268773\tcouch\t0.0236983\n",
      "['dwelling', '0.131177', 'geological_formation', '0.280245', 'medical_instrument', '0.0719086']\n",
      "/home/ambika/INF_project/data/train/101969.jpg\tdwelling\t0.131177\tgeological_formation\t0.280245\tmedical_instrument\t0.0719086\n",
      "['airplane_wing', '0.278642', 'airplane', '0.71829829']\n",
      "/home/ambika/INF_project/data/airplane/423767.jpg\tairplane_wing\t0.278642\tairplane\t0.71829829\n",
      "['fodder', '0.154629', 'horse', '0.130464', 'farm_machine', '0.138757', 'camel', '0.0557231']\n",
      "/home/ambika/INF_project/data/bird/259858.jpg\tfodder\t0.154629\thorse\t0.130464\tfarm_machine\t0.138757\tcamel\t0.0557231\n",
      "['bus', '0.984341522', 'train', '0.00056904', 'car', '0.014690497']\n",
      "/home/ambika/INF_project/data/bus/150686.jpg\tbus\t0.984341522\ttrain\t0.00056904\tcar\t0.014690497\n",
      "['boat', '0.863251']\n",
      "/home/ambika/INF_project/data/car/448176.jpg\tboat\t0.863251\n",
      "['musical_instrument', '0.00808811', 'tripod', '0.0103428', 'tent', '0.00699792']\n",
      "/home/ambika/INF_project/data/cat/249952.jpg\tmusical_instrument\t0.00808811\ttripod\t0.0103428\ttent\t0.00699792\n",
      "['dog', '0.2992425']\n",
      "/home/ambika/INF_project/data/couch/330037.jpg\tdog\t0.2992425\n",
      "['bus', '0.805871', 'train', '0.018588', 'car', '0.0758941']\n",
      "/home/ambika/INF_project/data/dog/279097.jpg\tbus\t0.805871\ttrain\t0.018588\tcar\t0.0758941\n",
      "['garment', '0.0718428', 'dog', '0.0542809', 'coat', '0.0416854']\n",
      "/home/ambika/INF_project/data/horse/372731.jpg\tgarment\t0.0718428\tdog\t0.0542809\tcoat\t0.0416854\n",
      "['car', '0.0558202', 'train', '0.830528', 'door', '0.00987288', 'gate', '0.0093482']\n",
      "/home/ambika/INF_project/data/person/581899.jpg\tcar\t0.0558202\ttrain\t0.830528\tdoor\t0.00987288\tgate\t0.0093482\n",
      "[]\n",
      "/home/ambika/INF_project/data/train/456638.jpg\n",
      "['airplane_wing', '0.0180579', 'airplane', '0.98165163']\n",
      "/home/ambika/INF_project/data/airplane/407826.jpg\tairplane_wing\t0.0180579\tairplane\t0.98165163\n",
      "['filter', '0.0601555', 'home_appliance', '0.0214619', 'kitchen_appliance', '0.0555451']\n",
      "/home/ambika/INF_project/data/bird/269436.jpg\tfilter\t0.0601555\thome_appliance\t0.0214619\tkitchen_appliance\t0.0555451\n",
      "['car', '0.111222', 'truck', '0.0545123', 'bus', '0.0924071']\n",
      "/home/ambika/INF_project/data/bus/505845.jpg\tcar\t0.111222\ttruck\t0.0545123\tbus\t0.0924071\n",
      "['bridge', '0.00892312', 'train', '0.9302165']\n",
      "/home/ambika/INF_project/data/car/137822.jpg\tbridge\t0.00892312\ttrain\t0.9302165\n",
      "['musical_instrument', '0.032595', 'television', '0.136815', 'portable_computer', '0.0542304', 'dog', '0.0306254']\n",
      "/home/ambika/INF_project/data/cat/422424.jpg\tmusical_instrument\t0.032595\ttelevision\t0.136815\tportable_computer\t0.0542304\tdog\t0.0306254\n",
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      "/home/ambika/INF_project/data/couch/563885.jpg\tdispenser\t0.0478955\tlamp\t0.0558141\tcap\t0.0560243\ttoiletry\t0.0466918\tsandwich\t0.0350395\n",
      "['table', '0.0803624', 'lamp', '0.0589032', 'door', '0.0316033', 'furniture', '0.0249672']\n",
      "/home/ambika/INF_project/data/dog/307048.jpg\ttable\t0.0803624\tlamp\t0.0589032\tdoor\t0.0316033\tfurniture\t0.0249672\n",
      "['sheep', '0.0362034', 'dog', '0.64622']\n",
      "/home/ambika/INF_project/data/horse/260363.jpg\tsheep\t0.0362034\tdog\t0.64622\n",
      "['building', '0.1362417', 'car', '0.0771456', 'ship', '0.147885']\n",
      "/home/ambika/INF_project/data/person/82812.jpg\tbuilding\t0.1362417\tcar\t0.0771456\tship\t0.147885\n",
      "['shop', '0.3218824', 'marketplace', '0.07761']\n",
      "/home/ambika/INF_project/data/train/431257.jpg\tshop\t0.3218824\tmarketplace\t0.07761\n",
      "['airplane', '0.8034834', 'bird', '0.025027']\n",
      "/home/ambika/INF_project/data/airplane/161044.jpg\tairplane\t0.8034834\tbird\t0.025027\n",
      "['sea_turtle', '0.0485666', 'clock', '0.0780137']\n",
      "/home/ambika/INF_project/data/bird/267710.jpg\tsea_turtle\t0.0485666\tclock\t0.0780137\n",
      "['car', '0.5415196', 'truck', '0.0465002', 'light', '0.0666498']\n",
      "/home/ambika/INF_project/data/bus/388316.jpg\tcar\t0.5415196\ttruck\t0.0465002\tlight\t0.0666498\n",
      "['truck', '0.653041']\n",
      "/home/ambika/INF_project/data/car/391415.jpg\ttruck\t0.653041\n",
      "['cat', '0.99656842']\n",
      "/home/ambika/INF_project/data/cat/413650.jpg\tcat\t0.99656842\n",
      "['garment', '0.040081', 'person', '0.0227627', 'knife', '0.0278349', 'necktie', '0.036575', 'pan', '0.0263817']\n",
      "/home/ambika/INF_project/data/couch/219771.jpg\tgarment\t0.040081\tperson\t0.0227627\tknife\t0.0278349\tnecktie\t0.036575\tpan\t0.0263817\n",
      "['dog', '0.9404962']\n",
      "/home/ambika/INF_project/data/dog/553721.jpg\tdog\t0.9404962\n",
      "['bird', '0.0611791', 'sled', '0.0341018', 'dog', '0.1172735']\n",
      "/home/ambika/INF_project/data/horse/268124.jpg\tbird\t0.0611791\tsled\t0.0341018\tdog\t0.1172735\n",
      "['building', '0.282867', 'shop', '0.0824347', 'piano', '0.3730031', 'couch', '0.0387415']\n",
      "/home/ambika/INF_project/data/person/14635.jpg\tbuilding\t0.282867\tshop\t0.0824347\tpiano\t0.3730031\tcouch\t0.0387415\n",
      "['car', '0.00150437', 'train', '0.9984039']\n",
      "/home/ambika/INF_project/data/train/105876.jpg\tcar\t0.00150437\ttrain\t0.9984039\n",
      "['airplane_wing', '0.0457976', 'airplane', '0.81414', 'truck', '0.00841471']\n",
      "/home/ambika/INF_project/data/airplane/534669.jpg\tairplane_wing\t0.0457976\tairplane\t0.81414\ttruck\t0.00841471\n",
      "['bird', '0.99662318']\n",
      "/home/ambika/INF_project/data/bird/209062.jpg\tbird\t0.99662318\n",
      "['bus', '0.958601', 'train', '0.0241566', 'car', '0.00848658']\n",
      "/home/ambika/INF_project/data/bus/3793.jpg\tbus\t0.958601\ttrain\t0.0241566\tcar\t0.00848658\n",
      "['board', '0.0652432', 'sign', '0.682843']\n",
      "/home/ambika/INF_project/data/car/66239.jpg\tboard\t0.0652432\tsign\t0.682843\n",
      "['portable_computer', '0.0554364', 'cat', '0.2299975']\n",
      "/home/ambika/INF_project/data/cat/450247.jpg\tportable_computer\t0.0554364\tcat\t0.2299975\n",
      "['car', '0.1479848', 'shed', '0.149962', 'truck', '0.112198']\n",
      "/home/ambika/INF_project/data/couch/277172.jpg\tcar\t0.1479848\tshed\t0.149962\ttruck\t0.112198\n",
      "['horse', '0.5818409', 'cattle', '0.0640788', 'camel', '0.109574']\n",
      "/home/ambika/INF_project/data/dog/321692.jpg\thorse\t0.5818409\tcattle\t0.0640788\tcamel\t0.109574\n",
      "['antelope', '0.833873', 'wolf', '0.0186609', 'dog', '0.0186806']\n",
      "/home/ambika/INF_project/data/horse/461885.jpg\tantelope\t0.833873\twolf\t0.0186609\tdog\t0.0186806\n",
      "['lobster', '0.078419']\n",
      "/home/ambika/INF_project/data/person/150558.jpg\tlobster\t0.078419\n",
      "['light', '0.107634', 'train', '0.7367858', 'truck', '0.027104', 'factory', '0.0306435']\n",
      "/home/ambika/INF_project/data/train/532580.jpg\tlight\t0.107634\ttrain\t0.7367858\ttruck\t0.027104\tfactory\t0.0306435\n",
      "['airplane_wing', '0.0685569', 'airplane', '0.6160848', 'spacecraft', '0.0272729']\n",
      "/home/ambika/INF_project/data/airplane/109045.jpg\tairplane_wing\t0.0685569\tairplane\t0.6160848\tspacecraft\t0.0272729\n",
      "['sheep', '0.0386166', 'elephant', '0.028973', 'buffalo', '0.0499938', 'cattle', '0.0419851']\n",
      "/home/ambika/INF_project/data/bird/344197.jpg\tsheep\t0.0386166\telephant\t0.028973\tbuffalo\t0.0499938\tcattle\t0.0419851\n",
      "['sheep', '0.457628', 'buffalo', '0.209774', 'cattle', '0.0479561']\n",
      "/home/ambika/INF_project/data/bus/317969.jpg\tsheep\t0.457628\tbuffalo\t0.209774\tcattle\t0.0479561\n",
      "['building', '0.0456465', 'car', '0.289398', 'train', '0.0631017', 'bridge', '0.0427739', 'residence', '0.141802']\n",
      "/home/ambika/INF_project/data/car/376793.jpg\tbuilding\t0.0456465\tcar\t0.289398\ttrain\t0.0631017\tbridge\t0.0427739\tresidence\t0.141802\n",
      "['dog', '0.4567088', 'bear', '0.0461743']\n",
      "/home/ambika/INF_project/data/cat/45208.jpg\tdog\t0.4567088\tbear\t0.0461743\n",
      "['baby_bed', '0.0858462', 'screen', '0.141342', 'couch', '0.0662765', 'door', '0.107051', 'furniture', '0.104531']\n",
      "/home/ambika/INF_project/data/couch/416534.jpg\tbaby_bed\t0.0858462\tscreen\t0.141342\tcouch\t0.0662765\tdoor\t0.107051\tfurniture\t0.104531\n",
      "['dog', '0.7195319']\n",
      "/home/ambika/INF_project/data/dog/457575.jpg\tdog\t0.7195319\n",
      "['helmet', '0.0845004', 'place_of_worship', '0.0301195', 'elephant', '0.2048369']\n",
      "/home/ambika/INF_project/data/horse/41104.jpg\thelmet\t0.0845004\tplace_of_worship\t0.0301195\telephant\t0.2048369\n",
      "['airplane', '0.2624629', 'bird', '0.3848546']\n",
      "/home/ambika/INF_project/data/person/275015.jpg\tairplane\t0.2624629\tbird\t0.3848546\n",
      "['rail_fence', '0.189445', 'bridge', '0.296043', 'ship', '0.0500851', 'fence', '0.0529596']\n",
      "/home/ambika/INF_project/data/train/32673.jpg\trail_fence\t0.189445\tbridge\t0.296043\tship\t0.0500851\tfence\t0.0529596\n",
      "['airplane_wing', '0.727776', 'airplane', '0.24590769', 'spacecraft', '0.0151537']\n",
      "/home/ambika/INF_project/data/airplane/75118.jpg\tairplane_wing\t0.727776\tairplane\t0.24590769\tspacecraft\t0.0151537\n",
      "['shop', '0.0988025', 'hat', '0.0412009', 'telephone', '0.0922258']\n",
      "/home/ambika/INF_project/data/bird/253282.jpg\tshop\t0.0988025\that\t0.0412009\ttelephone\t0.0922258\n",
      "['bike', '0.00583226', 'ball', '0.07961895', 'sports_equipment', '0.889346']\n",
      "/home/ambika/INF_project/data/bus/49194.jpg\tbike\t0.00583226\tball\t0.07961895\tsports_equipment\t0.889346\n",
      "['ball', '0.0348962']\n",
      "/home/ambika/INF_project/data/car/375812.jpg\tball\t0.0348962\n",
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      "['musical_instrument', '0.0657007', 'lifting_device', '0.803383']\n",
      "/home/ambika/INF_project/data/train/299492.jpg\tmusical_instrument\t0.0657007\tlifting_device\t0.803383\n",
      "['airplane_wing', '0.0669145', 'airplane', '0.932906251', 'spacecraft', '0.000109117']\n",
      "/home/ambika/INF_project/data/airplane/105552.jpg\tairplane_wing\t0.0669145\tairplane\t0.932906251\tspacecraft\t0.000109117\n",
      "['shop', '0.147847', 'ball', '0.0335898', 'sled', '0.046194']\n",
      "/home/ambika/INF_project/data/bird/60823.jpg\tshop\t0.147847\tball\t0.0335898\tsled\t0.046194\n",
      "['dispenser', '0.110317', 'frozen_dessert', '0.074094', 'toiletry', '0.0399123', 'bottle', '0.0467076', 'wine', '0.136722']\n",
      "/home/ambika/INF_project/data/bus/125524.jpg\tdispenser\t0.110317\tfrozen_dessert\t0.074094\ttoiletry\t0.0399123\tbottle\t0.0467076\twine\t0.136722\n",
      "['bird', '0.7687386']\n",
      "/home/ambika/INF_project/data/car/264659.jpg\tbird\t0.7687386\n",
      "['towel', '0.332562', 'dog', '0.1309972']\n",
      "/home/ambika/INF_project/data/cat/476856.jpg\ttowel\t0.332562\tdog\t0.1309972\n",
      "['dog', '0.3180904', 'cat', '0.0489329']\n",
      "/home/ambika/INF_project/data/couch/544590.jpg\tdog\t0.3180904\tcat\t0.0489329\n",
      "['bag', '0.084742', 'bedclothes', '0.416241', 'couch', '0.0266886']\n",
      "/home/ambika/INF_project/data/dog/26765.jpg\tbag\t0.084742\tbedclothes\t0.416241\tcouch\t0.0266886\n",
      "['shop', '0.245045', 'building', '0.1803948', 'table', '0.075552']\n",
      "/home/ambika/INF_project/data/horse/113097.jpg\tshop\t0.245045\tbuilding\t0.1803948\ttable\t0.075552\n",
      "['power_saw', '0.179843', 'pot', '0.0518592', 'pan', '0.104252', 'oven', '0.437483']\n",
      "/home/ambika/INF_project/data/person/418292.jpg\tpower_saw\t0.179843\tpot\t0.0518592\tpan\t0.104252\toven\t0.437483\n",
      "['farm_building', '0.0313528', 'fodder', '0.43533', 'memorial', '0.158303', 'fence', '0.0321052']\n",
      "/home/ambika/INF_project/data/train/491683.jpg\tfarm_building\t0.0313528\tfodder\t0.43533\tmemorial\t0.158303\tfence\t0.0321052\n",
      "['airplane_wing', '0.191429', 'airplane', '0.7472678']\n",
      "/home/ambika/INF_project/data/airplane/67608.jpg\tairplane_wing\t0.191429\tairplane\t0.7472678\n",
      "['bird', '0.1018866', 'rabbit', '0.468729', 'wild_goat', '0.0971107']\n",
      "/home/ambika/INF_project/data/bird/58492.jpg\tbird\t0.1018866\trabbit\t0.468729\twild_goat\t0.0971107\n",
      "['car', '0.568675', 'horse', '0.0941497', 'bus', '0.0924095']\n",
      "/home/ambika/INF_project/data/bus/562805.jpg\tcar\t0.568675\thorse\t0.0941497\tbus\t0.0924095\n",
      "['bike', '0.0966955']\n",
      "/home/ambika/INF_project/data/car/571657.jpg\tbike\t0.0966955\n",
      "['curtain', '0.0622096', 'screen', '0.0684863', 'window_blind', '0.197027', 'ape_like_animal', '0.120128']\n",
      "/home/ambika/INF_project/data/cat/37470.jpg\tcurtain\t0.0622096\tscreen\t0.0684863\twindow_blind\t0.197027\tape_like_animal\t0.120128\n",
      "['building', '0.474323', 'table', '0.0241965', 'television', '0.0865011', 'kitchen_appliance', '0.0277041', 'entertainment_center', '0.0924635']\n",
      "/home/ambika/INF_project/data/couch/279524.jpg\tbuilding\t0.474323\ttable\t0.0241965\ttelevision\t0.0865011\tkitchen_appliance\t0.0277041\tentertainment_center\t0.0924635\n",
      "['ape_like_animal', '0.0432917', 'dog', '0.1578058', 'bear', '0.0926645']\n",
      "/home/ambika/INF_project/data/dog/301326.jpg\tape_like_animal\t0.0432917\tdog\t0.1578058\tbear\t0.0926645\n",
      "['shore', '0.0771294', 'buffalo', '0.0517811', 'sandbar', '0.120443', 'camel', '0.454247']\n",
      "/home/ambika/INF_project/data/horse/331242.jpg\tshore\t0.0771294\tbuffalo\t0.0517811\tsandbar\t0.120443\tcamel\t0.454247\n",
      "['medical_instrument', '0.0300713', 'fruit', '0.0348', 'bird', '0.0495664']\n",
      "/home/ambika/INF_project/data/person/398438.jpg\tmedical_instrument\t0.0300713\tfruit\t0.0348\tbird\t0.0495664\n",
      "['cap', '0.220796', 'hat', '0.2026498']\n",
      "/home/ambika/INF_project/data/train/111347.jpg\tcap\t0.220796\that\t0.2026498\n",
      "['astronomical_telescope', '0.0336819', 'shore', '0.185794', 'buffalo', '0.0300349', 'fodder', '0.0438515', 'sandbar', '0.231129']\n",
      "/home/ambika/INF_project/data/airplane/293749.jpg\tastronomical_telescope\t0.0336819\tshore\t0.185794\tbuffalo\t0.0300349\tfodder\t0.0438515\tsandbar\t0.231129\n",
      "['bird', '0.9145464']\n",
      "/home/ambika/INF_project/data/bird/33532.jpg\tbird\t0.9145464\n",
      "['bus', '0.930134', 'train', '0.00883474', 'car', '0.0592474']\n",
      "/home/ambika/INF_project/data/bus/258291.jpg\tbus\t0.930134\ttrain\t0.00883474\tcar\t0.0592474\n",
      "['shop', '0.00765589', 'car', '0.00647917', 'building', '0.00404881', 'board', '0.0208627', 'sign', '0.943953']\n",
      "/home/ambika/INF_project/data/car/538690.jpg\tshop\t0.00765589\tcar\t0.00647917\tbuilding\t0.00404881\tboard\t0.0208627\tsign\t0.943953\n",
      "['dog', '0.593069', 'cat', '0.243241']\n",
      "/home/ambika/INF_project/data/cat/438059.jpg\tdog\t0.593069\tcat\t0.243241\n",
      "['building', '0.520095', 'table', '0.238289', 'door', '0.0417523', 'furniture', '0.0308059']\n",
      "/home/ambika/INF_project/data/couch/492758.jpg\tbuilding\t0.520095\ttable\t0.238289\tdoor\t0.0417523\tfurniture\t0.0308059\n",
      "['mat', '0.321027', 'dog', '0.4533359']\n",
      "/home/ambika/INF_project/data/dog/283940.jpg\tmat\t0.321027\tdog\t0.4533359\n",
      "['horse', '0.350378', 'dog', '0.3516804']\n",
      "/home/ambika/INF_project/data/horse/214241.jpg\thorse\t0.350378\tdog\t0.3516804\n",
      "['truck', '0.345192', 'military_vehicle', '0.137157', 'car', '0.113883']\n",
      "/home/ambika/INF_project/data/person/28532.jpg\ttruck\t0.345192\tmilitary_vehicle\t0.137157\tcar\t0.113883\n",
      "['car', '0.149891', 'train', '0.84807887']\n",
      "/home/ambika/INF_project/data/train/194398.jpg\tcar\t0.149891\ttrain\t0.84807887\n",
      "['airplane_wing', '0.756198', 'airplane', '0.2371783', 'truck', '0.0032246', 'spacecraft', '0.0014898']\n",
      "/home/ambika/INF_project/data/airplane/513580.jpg\tairplane_wing\t0.756198\tairplane\t0.2371783\ttruck\t0.0032246\tspacecraft\t0.0014898\n",
      "['shop', '0.352427', 'lamp', '0.0400931', 'loaf_of_bread', '0.0300068', 'frozen_dessert', '0.0422264']\n",
      "/home/ambika/INF_project/data/bird/527040.jpg\tshop\t0.352427\tlamp\t0.0400931\tloaf_of_bread\t0.0300068\tfrozen_dessert\t0.0422264\n",
      "['bus', '0.7894167', 'truck', '0.0371108', 'car', '0.150927']\n",
      "/home/ambika/INF_project/data/bus/327919.jpg\tbus\t0.7894167\ttruck\t0.0371108\tcar\t0.150927\n",
      "['light', '0.123611', 'telephone', '0.0617311', 'shop', '0.057172', 'sign', '0.289954']\n",
      "/home/ambika/INF_project/data/car/170190.jpg\tlight\t0.123611\ttelephone\t0.0617311\tshop\t0.057172\tsign\t0.289954\n",
      "['tissue', '0.0565348', 'dog', '0.370803', 'electronic_device', '0.0714736']\n",
      "/home/ambika/INF_project/data/cat/371117.jpg\ttissue\t0.0565348\tdog\t0.370803\telectronic_device\t0.0714736\n",
      "['puzzle', '0.36404', 'portable_computer', '0.0595177', 'rug', '0.0512611']\n",
      "/home/ambika/INF_project/data/couch/78701.jpg\tpuzzle\t0.36404\tportable_computer\t0.0595177\trug\t0.0512611\n",
      "['dog', '0.5338327']\n",
      "/home/ambika/INF_project/data/dog/20438.jpg\tdog\t0.5338327\n",
      "['light', '0.114916', 'cap', '0.0431986', 'person', '0.0376298']\n",
      "/home/ambika/INF_project/data/horse/102349.jpg\tlight\t0.114916\tcap\t0.0431986\tperson\t0.0376298\n",
      "['helmet', '0.142137', 'bike', '0.8003325', 'car', '0.0168317']\n",
      "/home/ambika/INF_project/data/person/46077.jpg\thelmet\t0.142137\tbike\t0.8003325\tcar\t0.0168317\n",
      "['car', '0.0978126', 'train', '0.265608', 'truck', '0.155956']\n",
      "/home/ambika/INF_project/data/train/304300.jpg\tcar\t0.0978126\ttrain\t0.265608\ttruck\t0.155956\n",
      "['airplane_wing', '0.172848', 'airplane', '0.6285959', 'bird', '0.0544012']\n",
      "/home/ambika/INF_project/data/airplane/163361.jpg\tairplane_wing\t0.172848\tairplane\t0.6285959\tbird\t0.0544012\n",
      "['car', '0.6204694']\n",
      "/home/ambika/INF_project/data/bird/276971.jpg\tcar\t0.6204694\n",
      "['cleaning_equipment', '0.0793415', 'skirt', '0.0576184', 'raincoat', '0.0430581']\n",
      "/home/ambika/INF_project/data/bus/431023.jpg\tcleaning_equipment\t0.0793415\tskirt\t0.0576184\traincoat\t0.0430581\n",
      "['car', '0.349113', 'train', '0.0403342', 'bus', '0.485123']\n",
      "/home/ambika/INF_project/data/car/182874.jpg\tcar\t0.349113\ttrain\t0.0403342\tbus\t0.485123\n",
      "['bird', '0.285079', 'dog', '0.4096228']\n",
      "/home/ambika/INF_project/data/cat/227218.jpg\tbird\t0.285079\tdog\t0.4096228\n",
      "['cleaning_equipment', '0.0431927', 'home_appliance', '0.05131', 'skirt', '0.171251', 'weight', '0.0850364']\n",
      "/home/ambika/INF_project/data/couch/13729.jpg\tcleaning_equipment\t0.0431927\thome_appliance\t0.05131\tskirt\t0.171251\tweight\t0.0850364\n",
      "['dog', '0.6857216']\n",
      "/home/ambika/INF_project/data/dog/354729.jpg\tdog\t0.6857216\n",
      "['horse', '0.0545449', 'bird', '0.3109463']\n",
      "/home/ambika/INF_project/data/horse/342322.jpg\thorse\t0.0545449\tbird\t0.3109463\n",
      "['bus', '0.520357', 'truck', '0.0699082']\n",
      "/home/ambika/INF_project/data/person/12666.jpg\tbus\t0.520357\ttruck\t0.0699082\n",
      "['bridge', '0.528068', 'building', '0.0269631']\n",
      "/home/ambika/INF_project/data/train/332007.jpg\tbridge\t0.528068\tbuilding\t0.0269631\n"
     ]
    }
   ],
   "source": [
    "data_path='/home/ambika/INF_project/alexnet_labels_filtered.txt'\n",
    "data = np.loadtxt(data_path, str, delimiter='\\t')\n",
    "\n",
    "filename='alexnet_labels_final.txt'\n",
    "b = open(filename, 'wb') \n",
    "a = csv.writer(b)\n",
    "\n",
    "for i in range(0,1000):\n",
    "    d=list(data[i][1:])\n",
    "    #print d\n",
    "    t=[data[i][1],data[i][3],data[i][5],data[i][7],data[i][9]]\n",
    "    #print t\n",
    "    t2=list(set(t))\n",
    "    #print t2\n",
    "    if '' in t2:\n",
    "        t2.remove('')\n",
    "    #print t2\n",
    "    final=[]\n",
    "    for u in range(0,len(t2)):\n",
    "        ind=[]\n",
    "        for v in range(0,len(d)):\n",
    "            if t2[u]==d[v]:\n",
    "                ind.append(v)\n",
    "                #print ind\n",
    "            prob=0\n",
    "            for w in range(0,len(ind)):\n",
    "                prob=prob+float(d[ind[w]+1])\n",
    "        #print prob\n",
    "        final.append(t2[u])\n",
    "        final.append(str(prob))\n",
    "    \n",
    "    print final\n",
    "    var2=data[i][0]\n",
    "    for j in range(len(final)):\n",
    "        var2+='\\t'+final[j]\n",
    "    print var2\n",
    "    a.writerows([[var2]])\n",
    "\n",
    "b.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['airplane', '0.397763', 'airplane wing', '0.0642287', 'airplane', '0.0530834', '', '', '', '']\n",
      "['airplane', 'airplane wing', 'airplane', '', '']\n",
      "['', 'airplane', 'airplane wing']\n",
      "['airplane', 'airplane wing']\n"
     ]
    }
   ],
   "source": [
    "d=list(data[97][1:])\n",
    "print d\n",
    "t=[data[97][1],data[97][3],data[97][5],data[97][7],data[97][9]]\n",
    "print t\n",
    "t2=list(set(t))\n",
    "print t2\n",
    "t2.remove('')\n",
    "print t2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 696,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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'0.242932', 'truck': '0.0748349', 'light': '0.0916766'}, '199610': {'sheep': '0.943367', 'horse': '0.0282801', 'dog': '0.00959915', 'swine': '0.00476815'}, '505845': {'car': '0.111222', 'truck': '0.0545123', 'bus': '0.0924071'}, '488387': {'car': '0.00444602', 'bike': '0.6795261', 'golf_equipment': '0.264912', 'snowmobile': '0.0395162'}, '111448': {'armor': '0.298208', 'helmet': '0.267134', 'ball': '0.0852629'}, '383406': {'portable_computer': '0.0331661', 'dog': '0.0876411', 'cat': '0.1716309'}, '295628': {'person': '0.968984', 'ball': '0.0302453', 'sports_equipment': '3.60843e-05', 'board': '0.000683721', 'helmet': '1.10135e-05'}, '539143': {'car': '0.034475', 'train': '0.965490934'}, '318778': {'shop': '0.414494', 'magazine': '0.0682345', 'puzzle': '0.0784567', 'marketplace': '0.109583'}, '425925': {'shelter': '0.156379', 'fortification': '0.0857719', 'board': '0.0801938', 'sign': '0.0819976'}, '18462': {'car': '0.4800417', 'truck': '0.0279108'}, '431023': {'cleaning_equipment': '0.0793415', 'skirt': '0.0576184', 'raincoat': '0.0430581'}, '43202': {'building': '0.231662', 'car': '0.183351', 'ride': '0.0353435', 'reservoir': '0.0228788', 'residence': '0.0874067'}, '120285': {'building': '0.2101227', 'shop': '0.0452419', 'door': '0.0416729'}, '310516': {'airplane': '0.0957672', 'bird': '0.81943596'}, '282287': {'dog': '0.3734027'}, '483249': {'turtle': '0.5963814', 'dish': '0.051474'}, '442565': {'glass': '0.0581129', 'piano': '0.0513189', 'game_equipment': '0.0407646', 'bottle': '0.0383594'}, '157283': {'window_blind': '0.0659413', 'couch': '0.299171'}, '182176': {'bus': '0.6057376', 'truck': '0.0274922', 'car': '0.330159'}, '128168': {'bus': '0.5558267', 'truck': '0.0699618', 'car': '0.0234836'}, '475923': {'door': '0.239376', 'window_blind': '0.0567984', 'wash_basin': '0.0785947', 'furniture': '0.3749489'}, '545056': {'airplane': '0.4867392', 'ball': '0.0373235', 'fodder': '0.324339'}, '529344': {'musical_instrument': '0.0893609', 'horse': '0.556284', 'hat': '0.0973384'}, '119166': {'tripod': '0.0379426', 'fence': '0.0234739'}, '464181': {'mountain': '0.0448377', 'airplane': '0.239597', 'spacecraft': '0.0994034'}, '279343': {'airplane_wing': '0.0649047', 'airplane': '0.8675268'}, '367818': {'horse': '0.886659', 'dog': '0.07990821'}, '172315': {'cleaning_equipment': '0.286748', 'home_appliance': '0.135489', 'door': '0.048726'}, '283940': {'mat': '0.321027', 'dog': '0.4533359'}, '566576': {'building': '0.3636728', 'shop': '0.4201108'}, '343213': {'musical_instrument': '0.0226149', 'building': '0.0181635', 'clock': '0.0583524'}, '141040': {'guitar': '0.0519299', 'portable_computer': '0.250972', 'couch': '0.0593763', 'piano': '0.0429025', 'lamp': '0.0760636'}, '484575': {'person': '0.00124488', 'bike': '0.00192649', 'sports_equipment': '0.990711', 'ball': '0.003023982'}, '534942': {'dog': '0.6570713', 'cat': '0.0705755'}, '340529': {'vegetable': '0.0213809', 'marketplace': '0.014019', 'fruit': '0.00849085', 'edible_fruit': '0.872454', 'eating_apple': '0.0169028'}, '228467': {'bus': '0.7947043', 'train': '0.0193089', 'truck': '0.000442345', 'car': '0.184043'}, '271820': {'lamp': '0.0648366', 'door': '0.0278103', 'bedclothes': '0.178445', 'bed': '0.131367', 'couch': '0.485039'}, '316031': {'shelter': '0.148645', 'place_of_worship': '0.0897567', 'tower': '0.549958', 'reservoir': '0.072108', 'clock': '0.0619755'}, '437423': {'light': '0.643458', 'shed': '0.0323905', 'lifting_device': '0.0473995', 'ship': '0.0250455'}, '354229': {'car': '0.0542204', 'train': '0.1291452', 'factory': '0.166435', 'game_equipment': '0.0453161'}, '276254': {'shore': '0.7729722', 'shed': '0.092571'}, '2923': {'astronomical_telescope': '0.622084', 'fodder': '0.08379', 'ball': '0.0212861', 'truck': '0.0236599', 'farm_machine': '0.04211'}, '244571': {'table': '0.0656512', 'couch': '0.444718', 'wash_basin': '0.0403299', 'kitchen_appliance': '0.0851737', 'furniture': '0.0597059'}, '55545': {'car': '0.110028', 'train': '0.88711645'}, '185789': {'car': '0.518041', 'train': '0.481517938', 'bus': '0.000366866'}, '279524': {'building': '0.474323', 'table': '0.0241965', 'television': '0.0865011', 'kitchen_appliance': '0.0277041', 'entertainment_center': '0.0924635'}, '244379': {'light': '0.78491', 'truck': '0.0125974', 'car': '0.0293811', 'mirror': '0.0259029'}, '416960': {'farm_machine': '0.0858087', 'truck': '0.111156', 'mat': '0.0694727', 'electronic_equipment': '0.0717953'}, '178072': {'car': '0.0265009', 'train': '0.862764', 'roof': '0.045627'}, '318171': {'person': '0.0425408', 'ball': '0.0777651', 'golf_equipment': '0.0384993'}, '552942': {'dog': '0.9213925'}, '14635': {'building': '0.282867', 'shop': '0.0824347', 'piano': '0.3730031', 'couch': '0.0387415'}, '402000': {'shore': '0.0808296', 'bird': '0.192502'}, '468525': {'farm_machine': '0.147839', 'truck': '0.101208', 'airplane': '0.0621838', 'farm_building': '0.11519', 'spacecraft': '0.131355'}, '371322': {'bridge': '0.492644', 'shore': '0.0414412'}, '246809': {'tower': '0.0604806', 'ship': '0.0332889', 'boat': '0.0282396'}, '569333': {'tissue': '0.0275938', 'towel': '0.0355007', 'dog': '0.347196', 'cat': '0.0527595'}, '279256': {'horse': '0.629088', 'hat': '0.024551', 'dog': '0.1549887', 'cattle': '0.023205'}, '449432': {'car': '0.1610063', 'golf_equipment': '0.228865', 'bus': '0.0579219'}, '228764': {'horse': '0.16875', 'dog': '0.3344891'}, '508962': {'person': '0.342229', 'post': '0.173699', 'scarf': '0.0246146', 'gown': '0.110355'}, '432468': {'portable_computer': '0.0479293', 'piano': '0.0302986', 'weight': '0.0530556'}, '403531': {'car': '0.0140768', 'train': '0.97860856'}, '424776': {'boat': '0.1661067'}, '317969': {'sheep': '0.457628', 'buffalo': '0.209774', 'cattle': '0.0479561'}, '243212': {}, '75344': {'container': '0.0353904', 'bird': '0.0344642'}, '78982': {'bus': '0.9526674', 'truck': '0.0251884', 'car': '0.0191937'}, '260363': {'sheep': '0.0362034', 'dog': '0.64622'}, '499775': {'bus': '0.334413', 'truck': '0.2576054', 'light': '0.114386'}, '242906': {'dog': '0.1965763', 'bear': '0.0400447'}, '42968': {'mountain': '0.116036', 'natural_elevation': '0.220055', 'dwelling': '0.041111', 'shore': '0.054604', 'farm_building': '0.112143'}, '142769': {'dog': '0.8123682'}, '581899': {'car': '0.0558202', 'train': '0.830528', 'door': '0.00987288', 'gate': '0.0093482'}, '533227': {'bird': '0.6716786', 'sandbar': '0.0375304'}, '438059': {'dog': '0.593069', 'cat': '0.243241'}, '230915': {'building': '0.00105298', 'light': '0.98705', 'car': '0.00312567', 'bus': '0.00107365'}, '412339': {'musical_instrument': '0.1211269', 'coat': '0.0676347', 'shop': '0.060825'}, '171936': {'kitchen_appliance': '0.338384', 'furniture': '0.3861285'}, '436551': {'bird': '0.999999324896'}, '106453': {'car': '0.0882838', 'horse': '0.0706077', 'golf_equipment': '0.0361547', 'sandbar': '0.10526'}, '359574': {'dog': '0.2862287', 'cat': '0.407011'}, '483108': {'car': '0.0217395', 'train': '0.97198862'}, '107656': {'building': '0.0417057', 'table': '0.224202', 'television': '0.0370684', 'entertainment_center': '0.042335', 'furniture': '0.382979'}, '46077': {'helmet': '0.142137', 'bike': '0.8003325', 'car': '0.0168317'}, '26201': {'fortification': '0.100293', 'residence': '0.0344064', 'puzzle': '0.5888196', 'farm_building': '0.0440295'}, '507719': {'buffalo': '0.0762592', 'dog': '0.129254', 'cattle': '0.257967'}, '443450': {'airplane_wing': '0.0719098', 'airplane': '0.77553', 'bird': '0.0350611'}, '45208': {'dog': '0.4567088', 'bear': '0.0461743'}, '324710': {'buffalo': '0.0931132', 'swine': '0.172277', 'bench': '0.237682'}, '464248': {'rail_fence': '0.0744776', 'bird': '0.6961197'}, '257382': {'bus': '0.9999538356', 'train': '4.07804e-05', 'car': '1.6549e-06'}, '101280': {'whale': '0.338775', 'dolphin': '0.0375334', 'shore': '0.161584', 'sandbar': '0.147571'}, '326698': {'car': '0.1770805', 'truck': '0.6848359'}, '232121': {'personal_computer': '0.03', 'portable_computer': '0.712094', 'electronic_device': '0.0701124'}, '328430': {'ball': '0.260544', 'sports_equipment': '0.115848', 'swimsuit': '0.0388776'}, '164759': {'building': '0.221677', 'screen': '0.0949092', 'door': '0.0709491', 'lamp': '0.070666', 'couch': '0.0839714'}, '386514': {'car': '0.00844159', 'horse': '0.00261519', 'bike': '0.9689786', 'golf_equipment': '0.00954899'}, '505080': {'boat': '0.8898596'}, '171494': {'dog': '0.1231475'}, '556862': {'portable_computer': '0.511932', 'piano': '0.101306', 'calculator': '0.0202708', 'dog': '0.0347722'}, '78701': {'puzzle': '0.36404', 'portable_computer': '0.0595177', 'rug': '0.0512611'}, '565954': {'cat': '0.717059', 'dog': '0.1111569', 'furniture': '0.0449941'}, '365386': {'train': '0.9984507', 'truck': '0.000588094'}, '156497': {'building': '0.123987', 'table': '0.1319827', 'lamp': '0.0199698', 'couch': '0.322297'}, '463199': {'shop': '0.352263', 'car': '0.0517874', 'train': '0.0656462', 'oven': '0.0331989', 'uniform': '0.0354324'}, '523403': {'piano': '0.0285037', 'home_appliance': '0.0484038', 'dog': '0.183069'}, '300244': {'dog': '0.0947499', 'cat': '0.2605356'}, '453427': {'building': '0.9011506', 'bridge': '0.0406581', 'shop': '0.00796175', 'residence': '0.0102668'}, '167486': {'musical_instrument': '0.5231595', 'bike': '0.2275081'}, '44950': {'screen': '0.040351', 'door': '0.0397218', 'bed': '0.423965', 'furniture': '0.1127088'}, '577932': {'horse': '0.0858597', 'bike': '0.2880139'}, '269436': {'filter': '0.0601555', 'home_appliance': '0.0214619', 'kitchen_appliance': '0.0555451'}, '283163': {'airplane_wing': '0.206667', 'airplane': '0.6212135', 'spacecraft': '0.0928933'}, '281660': {'screen': '0.069605', 'television': '0.225541', 'window_blind': '0.0828156', 'display': '0.0456197', 'mirror': '0.0914718'}, '560675': {'shelter': '0.0234734', 'residence': '0.0258424', 'train': '0.6344363'}, '571657': {'bike': '0.0966955'}, '286507': {'car': '0.219777', 'train': '0.5234348', 'truck': '0.0562836'}, '213728': {'bus': '0.8476635', 'train': '0.102948', 'car': '0.0191928'}, '315432': {'ship': '0.03060184', 'boat': '0.02264454'}, '28273': {'dog': '0.1965672', 'cat': '0.60569'}, '315434': {'fence': '0.0865179', 'sled': '0.0497235', 'bench': '0.0764376'}, '293570': {'shore': '0.17433', 'dog': '0.049449', 'sandbar': '0.317817', 'swimsuit': '0.0187416'}, '412349': {'bus': '0.318061', 'truck': '0.4431573'}, '189806': {'dog': '0.424662'}, '418292': {'power_saw': '0.179843', 'pot': '0.0518592', 'oven': '0.437483', 'pan': '0.104252'}, '547062': {'horse': '0.147851', 'farm_machine': '0.0402388', 'cattle': '0.0669098'}, '388316': {'car': '0.5415196', 'truck': '0.0465002', 'light': '0.0666498'}, '562805': {'car': '0.568675', 'horse': '0.0941497', 'bus': '0.0924095'}, '49151': {'building': '0.125734', 'door': '0.0619479', 'entertainment_center': '0.0928668', 'furniture': '0.391453'}, '252745': {'dog': '0.1665841', 'bench': '0.0544231'}, '23033': {'horse': '0.160899', 'dog': '0.4241738'}, '166995': {'dog': '0.471152'}, '110138': {'bus': '0.217193', 'train': '0.0764901', 'truck': '0.3490259', 'car': '0.126377'}, '267710': {'sea_turtle': '0.0485666', 'clock': '0.0780137'}, '398246': {'person': '0.0798565', 'train': '0.0464882', 'coat': '0.0521481'}, '441695': {'airplane_wing': '0.835188', 'airplane': '0.0886994'}, '556597': {'airplane_wing': '0.12711', 'airplane': '0.8239725'}, '435075': {'container': '0.227754', 'flower': '0.466463', 'jar': '0.189628', 'fence': '0.0506693'}, '454102': {'ball': '0.2178518', 'bird': '0.172944'}, '549410': {'electronic_device': '0.000258151', 'cat': '0.99881517'}, '507330': {'bus': '0.5058282', 'train': '0.00821528', 'truck': '0.00941403', 'car': '0.455774'}, '508899': {'heater': '0.0243333', 'towel': '0.0276581', 'dog': '0.2026407'}, '27946': {'bus': '0.9160131', 'train': '0.00367289', 'car': '0.0673102'}, '327919': {'bus': '0.7894167', 'truck': '0.0371108', 'car': '0.150927'}, '453330': {'bird': '0.9269768'}, '512657': {'scarf': '0.123188', 'weight': '0.0403786'}, '359925': {'car': '0.0001073', 'horse': '0.9970605', 'cattle': '0.00216343'}, '149184': {'kitchen_appliance': '0.881931', 'furniture': '0.054316'}, '27756': {'light': '0.956483', 'lifting_device': '0.00280215', 'truck': '0.00298307', 'bus': '0.010255', 'car': '0.0072069'}, '392650': {'airplane_wing': '0.016183', 'airplane': '0.982829918'}, '256743': {'light': '0.250448', 'shirt': '0.0260688'}, '333365': {'airplane_wing': '0.05423', 'airplane': '0.7947439'}, '513580': {'airplane_wing': '0.756198', 'airplane': '0.2371783', 'truck': '0.0032246', 'spacecraft': '0.0014898'}, '321424': {'airplane_wing': '0.455827', 'airplane': '0.5008535'}, '57424': {'airplane': '0.51636', 'lifting_device': '0.0898096'}, '36765': {'dog': '0.1478064', 'camel': '0.629651'}, '35672': {'ball': '0.0714763', 'dog': '0.5136497'}, '494179': {'airplane_wing': '0.331714', 'airplane': '0.203394', 'golf_equipment': '0.0537883', 'horse': '0.1871642'}, '209071': {'building': '0.358306', 'television': '0.0294169', 'kitchen_appliance': '0.0404284', 'entertainment_center': '0.0323188', 'couch': '0.130539'}, '306395': {'rodent': '0.0434476', 'bag': '0.0604543', 'dog': '0.1148961'}, '562645': {'dog': '0.387557'}, '463730': {'bus': '0.8716999', 'car': '0.0508781'}}\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "data_path='/home/ambika/INF_project/alexnet_labels_final.txt'\n",
    "\n",
    "with open(data_path) as f:\n",
    "    lines = f.readlines()\n",
    "\n",
    "label_dict={}\n",
    "\n",
    "#print lines[0]\n",
    "#print lines[1]\n",
    "#print len(lines[1])\n",
    "\n",
    "for p in range(0,1000):\n",
    "    image_dict={}\n",
    "    x_init=''\n",
    "    for q in range(0,len(lines[p])):\n",
    "        #print q\n",
    "        #print lines[1][q]\n",
    "        if lines[p][q]=='.':\n",
    "            break\n",
    "        elif (lines[p][q]=='1' or lines[p][q]=='2' or lines[p][q]=='3' or lines[p][q]=='4' or lines[p][q]=='5' or lines[p][q]=='6' or lines[p][q]=='7' or lines[p][q]=='8' or lines[p][q]=='9' or lines[p][q]=='0'):\n",
    "            x_init+=lines[p][q]\n",
    "    x_init=x_init\n",
    "    print x_init\n",
    "    \n",
    "    zzz='\"'+lines[p]+'\"'\n",
    "    zzz=zzz[:-3]\n",
    "    val=zzz.split('\\t')\n",
    "    val2=val[1:]\n",
    "    l=len(val2)\n",
    "\n",
    "    #label_init=''\n",
    "    #for q in range(0,len(lines[p])):\n",
    "        #if lines[p][q]=='\\t':\n",
    "            #label_init=lines[p][q+1]\n",
    "            #break\n",
    "    #print label_init\n",
    "    for k in range(0,l,2):\n",
    "        image_dict[val2[k]]=val2[k+1]\n",
    "    label_dict[x_init]=image_dict\n",
    "    \n",
    "print label_dict\n",
    "    \n",
    "json_label = json.dumps(label_dict)\n",
    "\n",
    "with open('/home/ambika/INF_project/label_data_1000.json', 'w') as f:\n",
    "     json.dump(label_dict, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg\tfortification\t0.100293\tresidence\t0.0344064\tpuzzle\t0.5888196\tfarm_building\t0.0440295\r\n",
      "\n",
      "\"/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg\tfortification\t0.100293\tresidence\t0.0344064\tpuzzle\t0.5888196\tfarm_building\t0.0440295\n",
      "['\"/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg', 'fortification', '0.100293', 'residence', '0.0344064', 'puzzle', '0.5888196', 'farm_building', '0.0440295']\n",
      "\"/home/ambika/Downloads/CrowdSourcing-Project-master/samples/26201.jpg\n",
      "['fortification', '0.100293', 'residence', '0.0344064', 'puzzle', '0.5888196', 'farm_building', '0.0440295']\n",
      "8\n"
     ]
    }
   ],
   "source": [
    "print lines[0]\n",
    "zzz='\"'+lines[0]+'\"'\n",
    "zzz=zzz[:-3]\n",
    "print zzz\n",
    "val=zzz.split('\\t')\n",
    "print val\n",
    "print val[0]\n",
    "\n",
    "val2=val[1:]\n",
    "print val2\n",
    "print len(val2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000\n",
      "1000\n"
     ]
    }
   ],
   "source": [
    "final_path='/home/ambika/INF_project/final_image_paths.txt'\n",
    "image_list = np.loadtxt(final_path, str)\n",
    "\n",
    "print(len(image_list))\n",
    "\n",
    "image_list=list(set(image_list))\n",
    "\n",
    "print (len(image_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
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