Add files
Browse files- .DS_Store +0 -0
- app.py +50 -0
- imagenet_labels.json +1000 -0
- images/breach_hump.jpeg +0 -0
- images/bull_shark.jpeg +0 -0
- images/dolphin.jpeg +0 -0
- images/fish.jpeg +0 -0
- images/hotdog.jpeg +0 -0
- images/humpback.jpeg +0 -0
- images/killer_whale.jpeg +0 -0
- images/tuna.jpeg +0 -0
- requirements.txt +432 -0
.DS_Store
ADDED
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Binary file (6.15 kB). View file
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app.py
ADDED
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@@ -0,0 +1,50 @@
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import gradio as gr
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import torch
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import torchvision
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import numpy as np
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import json
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import re
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from PIL import Image
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with open('imagenet_labels.json') as labels_file:
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labels = json.load(labels_file)
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from torchvision import transforms as T
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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squeezenet = torchvision.models.squeezenet1_0(pretrained=True).to(device)
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transform = T.Compose([T.Resize(256),
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T.CenterCrop(224),
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T.ToTensor(),
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T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])
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def image_classifier(img_arr):
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squeezenet.eval()
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img = Image.fromarray(img_arr)
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img = transform(img).float().to(device)
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img = torch.autograd.Variable(img, requires_grad=True)
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img = img.unsqueeze(0)
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preds = squeezenet(img).cpu()
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pred_label_index = preds.argmax(1).cpu()
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label = labels[pred_label_index]
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if bool(re.search('whale', label)):
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return "whale"
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return "not whale"
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images = [
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'breach_hump.jpeg',
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'bull_shark.jpeg',
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'dolphin.jpeg',
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'fish.jpeg',
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'hotdog.jpeg',
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'humpback.jpeg',
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'killer_whale.jpeg',
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'tuna.jpeg'
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]
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app = gr.Interface(
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image_classifier,
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gr.inputs.Image(shape=(224, 224)),
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"text",
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capture_session=True,
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interpretation='default',
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examples=[f'images/{image}' for image in images])
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imagenet_labels.json
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|
|
| 1 |
+
["tench",
|
| 2 |
+
"goldfish",
|
| 3 |
+
"great white shark",
|
| 4 |
+
"tiger shark",
|
| 5 |
+
"hammerhead shark",
|
| 6 |
+
"electric ray",
|
| 7 |
+
"stingray",
|
| 8 |
+
"cock",
|
| 9 |
+
"hen",
|
| 10 |
+
"ostrich",
|
| 11 |
+
"brambling",
|
| 12 |
+
"goldfinch",
|
| 13 |
+
"house finch",
|
| 14 |
+
"junco",
|
| 15 |
+
"indigo bunting",
|
| 16 |
+
"American robin",
|
| 17 |
+
"bulbul",
|
| 18 |
+
"jay",
|
| 19 |
+
"magpie",
|
| 20 |
+
"chickadee",
|
| 21 |
+
"American dipper",
|
| 22 |
+
"kite",
|
| 23 |
+
"bald eagle",
|
| 24 |
+
"vulture",
|
| 25 |
+
"great grey owl",
|
| 26 |
+
"fire salamander",
|
| 27 |
+
"smooth newt",
|
| 28 |
+
"newt",
|
| 29 |
+
"spotted salamander",
|
| 30 |
+
"axolotl",
|
| 31 |
+
"American bullfrog",
|
| 32 |
+
"tree frog",
|
| 33 |
+
"tailed frog",
|
| 34 |
+
"loggerhead sea turtle",
|
| 35 |
+
"leatherback sea turtle",
|
| 36 |
+
"mud turtle",
|
| 37 |
+
"terrapin",
|
| 38 |
+
"box turtle",
|
| 39 |
+
"banded gecko",
|
| 40 |
+
"green iguana",
|
| 41 |
+
"Carolina anole",
|
| 42 |
+
"desert grassland whiptail lizard",
|
| 43 |
+
"agama",
|
| 44 |
+
"frilled-necked lizard",
|
| 45 |
+
"alligator lizard",
|
| 46 |
+
"Gila monster",
|
| 47 |
+
"European green lizard",
|
| 48 |
+
"chameleon",
|
| 49 |
+
"Komodo dragon",
|
| 50 |
+
"Nile crocodile",
|
| 51 |
+
"American alligator",
|
| 52 |
+
"triceratops",
|
| 53 |
+
"worm snake",
|
| 54 |
+
"ring-necked snake",
|
| 55 |
+
"eastern hog-nosed snake",
|
| 56 |
+
"smooth green snake",
|
| 57 |
+
"kingsnake",
|
| 58 |
+
"garter snake",
|
| 59 |
+
"water snake",
|
| 60 |
+
"vine snake",
|
| 61 |
+
"night snake",
|
| 62 |
+
"boa constrictor",
|
| 63 |
+
"African rock python",
|
| 64 |
+
"Indian cobra",
|
| 65 |
+
"green mamba",
|
| 66 |
+
"sea snake",
|
| 67 |
+
"Saharan horned viper",
|
| 68 |
+
"eastern diamondback rattlesnake",
|
| 69 |
+
"sidewinder",
|
| 70 |
+
"trilobite",
|
| 71 |
+
"harvestman",
|
| 72 |
+
"scorpion",
|
| 73 |
+
"yellow garden spider",
|
| 74 |
+
"barn spider",
|
| 75 |
+
"European garden spider",
|
| 76 |
+
"southern black widow",
|
| 77 |
+
"tarantula",
|
| 78 |
+
"wolf spider",
|
| 79 |
+
"tick",
|
| 80 |
+
"centipede",
|
| 81 |
+
"black grouse",
|
| 82 |
+
"ptarmigan",
|
| 83 |
+
"ruffed grouse",
|
| 84 |
+
"prairie grouse",
|
| 85 |
+
"peacock",
|
| 86 |
+
"quail",
|
| 87 |
+
"partridge",
|
| 88 |
+
"grey parrot",
|
| 89 |
+
"macaw",
|
| 90 |
+
"sulphur-crested cockatoo",
|
| 91 |
+
"lorikeet",
|
| 92 |
+
"coucal",
|
| 93 |
+
"bee eater",
|
| 94 |
+
"hornbill",
|
| 95 |
+
"hummingbird",
|
| 96 |
+
"jacamar",
|
| 97 |
+
"toucan",
|
| 98 |
+
"duck",
|
| 99 |
+
"red-breasted merganser",
|
| 100 |
+
"goose",
|
| 101 |
+
"black swan",
|
| 102 |
+
"tusker",
|
| 103 |
+
"echidna",
|
| 104 |
+
"platypus",
|
| 105 |
+
"wallaby",
|
| 106 |
+
"koala",
|
| 107 |
+
"wombat",
|
| 108 |
+
"jellyfish",
|
| 109 |
+
"sea anemone",
|
| 110 |
+
"brain coral",
|
| 111 |
+
"flatworm",
|
| 112 |
+
"nematode",
|
| 113 |
+
"conch",
|
| 114 |
+
"snail",
|
| 115 |
+
"slug",
|
| 116 |
+
"sea slug",
|
| 117 |
+
"chiton",
|
| 118 |
+
"chambered nautilus",
|
| 119 |
+
"Dungeness crab",
|
| 120 |
+
"rock crab",
|
| 121 |
+
"fiddler crab",
|
| 122 |
+
"red king crab",
|
| 123 |
+
"American lobster",
|
| 124 |
+
"spiny lobster",
|
| 125 |
+
"crayfish",
|
| 126 |
+
"hermit crab",
|
| 127 |
+
"isopod",
|
| 128 |
+
"white stork",
|
| 129 |
+
"black stork",
|
| 130 |
+
"spoonbill",
|
| 131 |
+
"flamingo",
|
| 132 |
+
"little blue heron",
|
| 133 |
+
"great egret",
|
| 134 |
+
"bittern",
|
| 135 |
+
"crane (bird)",
|
| 136 |
+
"limpkin",
|
| 137 |
+
"common gallinule",
|
| 138 |
+
"American coot",
|
| 139 |
+
"bustard",
|
| 140 |
+
"ruddy turnstone",
|
| 141 |
+
"dunlin",
|
| 142 |
+
"common redshank",
|
| 143 |
+
"dowitcher",
|
| 144 |
+
"oystercatcher",
|
| 145 |
+
"pelican",
|
| 146 |
+
"king penguin",
|
| 147 |
+
"albatross",
|
| 148 |
+
"grey whale",
|
| 149 |
+
"killer whale",
|
| 150 |
+
"dugong",
|
| 151 |
+
"sea lion",
|
| 152 |
+
"Chihuahua",
|
| 153 |
+
"Japanese Chin",
|
| 154 |
+
"Maltese",
|
| 155 |
+
"Pekingese",
|
| 156 |
+
"Shih Tzu",
|
| 157 |
+
"King Charles Spaniel",
|
| 158 |
+
"Papillon",
|
| 159 |
+
"toy terrier",
|
| 160 |
+
"Rhodesian Ridgeback",
|
| 161 |
+
"Afghan Hound",
|
| 162 |
+
"Basset Hound",
|
| 163 |
+
"Beagle",
|
| 164 |
+
"Bloodhound",
|
| 165 |
+
"Bluetick Coonhound",
|
| 166 |
+
"Black and Tan Coonhound",
|
| 167 |
+
"Treeing Walker Coonhound",
|
| 168 |
+
"English foxhound",
|
| 169 |
+
"Redbone Coonhound",
|
| 170 |
+
"borzoi",
|
| 171 |
+
"Irish Wolfhound",
|
| 172 |
+
"Italian Greyhound",
|
| 173 |
+
"Whippet",
|
| 174 |
+
"Ibizan Hound",
|
| 175 |
+
"Norwegian Elkhound",
|
| 176 |
+
"Otterhound",
|
| 177 |
+
"Saluki",
|
| 178 |
+
"Scottish Deerhound",
|
| 179 |
+
"Weimaraner",
|
| 180 |
+
"Staffordshire Bull Terrier",
|
| 181 |
+
"American Staffordshire Terrier",
|
| 182 |
+
"Bedlington Terrier",
|
| 183 |
+
"Border Terrier",
|
| 184 |
+
"Kerry Blue Terrier",
|
| 185 |
+
"Irish Terrier",
|
| 186 |
+
"Norfolk Terrier",
|
| 187 |
+
"Norwich Terrier",
|
| 188 |
+
"Yorkshire Terrier",
|
| 189 |
+
"Wire Fox Terrier",
|
| 190 |
+
"Lakeland Terrier",
|
| 191 |
+
"Sealyham Terrier",
|
| 192 |
+
"Airedale Terrier",
|
| 193 |
+
"Cairn Terrier",
|
| 194 |
+
"Australian Terrier",
|
| 195 |
+
"Dandie Dinmont Terrier",
|
| 196 |
+
"Boston Terrier",
|
| 197 |
+
"Miniature Schnauzer",
|
| 198 |
+
"Giant Schnauzer",
|
| 199 |
+
"Standard Schnauzer",
|
| 200 |
+
"Scottish Terrier",
|
| 201 |
+
"Tibetan Terrier",
|
| 202 |
+
"Australian Silky Terrier",
|
| 203 |
+
"Soft-coated Wheaten Terrier",
|
| 204 |
+
"West Highland White Terrier",
|
| 205 |
+
"Lhasa Apso",
|
| 206 |
+
"Flat-Coated Retriever",
|
| 207 |
+
"Curly-coated Retriever",
|
| 208 |
+
"Golden Retriever",
|
| 209 |
+
"Labrador Retriever",
|
| 210 |
+
"Chesapeake Bay Retriever",
|
| 211 |
+
"German Shorthaired Pointer",
|
| 212 |
+
"Vizsla",
|
| 213 |
+
"English Setter",
|
| 214 |
+
"Irish Setter",
|
| 215 |
+
"Gordon Setter",
|
| 216 |
+
"Brittany",
|
| 217 |
+
"Clumber Spaniel",
|
| 218 |
+
"English Springer Spaniel",
|
| 219 |
+
"Welsh Springer Spaniel",
|
| 220 |
+
"Cocker Spaniels",
|
| 221 |
+
"Sussex Spaniel",
|
| 222 |
+
"Irish Water Spaniel",
|
| 223 |
+
"Kuvasz",
|
| 224 |
+
"Schipperke",
|
| 225 |
+
"Groenendael",
|
| 226 |
+
"Malinois",
|
| 227 |
+
"Briard",
|
| 228 |
+
"Australian Kelpie",
|
| 229 |
+
"Komondor",
|
| 230 |
+
"Old English Sheepdog",
|
| 231 |
+
"Shetland Sheepdog",
|
| 232 |
+
"collie",
|
| 233 |
+
"Border Collie",
|
| 234 |
+
"Bouvier des Flandres",
|
| 235 |
+
"Rottweiler",
|
| 236 |
+
"German Shepherd Dog",
|
| 237 |
+
"Dobermann",
|
| 238 |
+
"Miniature Pinscher",
|
| 239 |
+
"Greater Swiss Mountain Dog",
|
| 240 |
+
"Bernese Mountain Dog",
|
| 241 |
+
"Appenzeller Sennenhund",
|
| 242 |
+
"Entlebucher Sennenhund",
|
| 243 |
+
"Boxer",
|
| 244 |
+
"Bullmastiff",
|
| 245 |
+
"Tibetan Mastiff",
|
| 246 |
+
"French Bulldog",
|
| 247 |
+
"Great Dane",
|
| 248 |
+
"St. Bernard",
|
| 249 |
+
"husky",
|
| 250 |
+
"Alaskan Malamute",
|
| 251 |
+
"Siberian Husky",
|
| 252 |
+
"Dalmatian",
|
| 253 |
+
"Affenpinscher",
|
| 254 |
+
"Basenji",
|
| 255 |
+
"pug",
|
| 256 |
+
"Leonberger",
|
| 257 |
+
"Newfoundland",
|
| 258 |
+
"Pyrenean Mountain Dog",
|
| 259 |
+
"Samoyed",
|
| 260 |
+
"Pomeranian",
|
| 261 |
+
"Chow Chow",
|
| 262 |
+
"Keeshond",
|
| 263 |
+
"Griffon Bruxellois",
|
| 264 |
+
"Pembroke Welsh Corgi",
|
| 265 |
+
"Cardigan Welsh Corgi",
|
| 266 |
+
"Toy Poodle",
|
| 267 |
+
"Miniature Poodle",
|
| 268 |
+
"Standard Poodle",
|
| 269 |
+
"Mexican hairless dog",
|
| 270 |
+
"grey wolf",
|
| 271 |
+
"Alaskan tundra wolf",
|
| 272 |
+
"red wolf",
|
| 273 |
+
"coyote",
|
| 274 |
+
"dingo",
|
| 275 |
+
"dhole",
|
| 276 |
+
"African wild dog",
|
| 277 |
+
"hyena",
|
| 278 |
+
"red fox",
|
| 279 |
+
"kit fox",
|
| 280 |
+
"Arctic fox",
|
| 281 |
+
"grey fox",
|
| 282 |
+
"tabby cat",
|
| 283 |
+
"tiger cat",
|
| 284 |
+
"Persian cat",
|
| 285 |
+
"Siamese cat",
|
| 286 |
+
"Egyptian Mau",
|
| 287 |
+
"cougar",
|
| 288 |
+
"lynx",
|
| 289 |
+
"leopard",
|
| 290 |
+
"snow leopard",
|
| 291 |
+
"jaguar",
|
| 292 |
+
"lion",
|
| 293 |
+
"tiger",
|
| 294 |
+
"cheetah",
|
| 295 |
+
"brown bear",
|
| 296 |
+
"American black bear",
|
| 297 |
+
"polar bear",
|
| 298 |
+
"sloth bear",
|
| 299 |
+
"mongoose",
|
| 300 |
+
"meerkat",
|
| 301 |
+
"tiger beetle",
|
| 302 |
+
"ladybug",
|
| 303 |
+
"ground beetle",
|
| 304 |
+
"longhorn beetle",
|
| 305 |
+
"leaf beetle",
|
| 306 |
+
"dung beetle",
|
| 307 |
+
"rhinoceros beetle",
|
| 308 |
+
"weevil",
|
| 309 |
+
"fly",
|
| 310 |
+
"bee",
|
| 311 |
+
"ant",
|
| 312 |
+
"grasshopper",
|
| 313 |
+
"cricket",
|
| 314 |
+
"stick insect",
|
| 315 |
+
"cockroach",
|
| 316 |
+
"mantis",
|
| 317 |
+
"cicada",
|
| 318 |
+
"leafhopper",
|
| 319 |
+
"lacewing",
|
| 320 |
+
"dragonfly",
|
| 321 |
+
"damselfly",
|
| 322 |
+
"red admiral",
|
| 323 |
+
"ringlet",
|
| 324 |
+
"monarch butterfly",
|
| 325 |
+
"small white",
|
| 326 |
+
"sulphur butterfly",
|
| 327 |
+
"gossamer-winged butterfly",
|
| 328 |
+
"starfish",
|
| 329 |
+
"sea urchin",
|
| 330 |
+
"sea cucumber",
|
| 331 |
+
"cottontail rabbit",
|
| 332 |
+
"hare",
|
| 333 |
+
"Angora rabbit",
|
| 334 |
+
"hamster",
|
| 335 |
+
"porcupine",
|
| 336 |
+
"fox squirrel",
|
| 337 |
+
"marmot",
|
| 338 |
+
"beaver",
|
| 339 |
+
"guinea pig",
|
| 340 |
+
"common sorrel",
|
| 341 |
+
"zebra",
|
| 342 |
+
"pig",
|
| 343 |
+
"wild boar",
|
| 344 |
+
"warthog",
|
| 345 |
+
"hippopotamus",
|
| 346 |
+
"ox",
|
| 347 |
+
"water buffalo",
|
| 348 |
+
"bison",
|
| 349 |
+
"ram",
|
| 350 |
+
"bighorn sheep",
|
| 351 |
+
"Alpine ibex",
|
| 352 |
+
"hartebeest",
|
| 353 |
+
"impala",
|
| 354 |
+
"gazelle",
|
| 355 |
+
"dromedary",
|
| 356 |
+
"llama",
|
| 357 |
+
"weasel",
|
| 358 |
+
"mink",
|
| 359 |
+
"European polecat",
|
| 360 |
+
"black-footed ferret",
|
| 361 |
+
"otter",
|
| 362 |
+
"skunk",
|
| 363 |
+
"badger",
|
| 364 |
+
"armadillo",
|
| 365 |
+
"three-toed sloth",
|
| 366 |
+
"orangutan",
|
| 367 |
+
"gorilla",
|
| 368 |
+
"chimpanzee",
|
| 369 |
+
"gibbon",
|
| 370 |
+
"siamang",
|
| 371 |
+
"guenon",
|
| 372 |
+
"patas monkey",
|
| 373 |
+
"baboon",
|
| 374 |
+
"macaque",
|
| 375 |
+
"langur",
|
| 376 |
+
"black-and-white colobus",
|
| 377 |
+
"proboscis monkey",
|
| 378 |
+
"marmoset",
|
| 379 |
+
"white-headed capuchin",
|
| 380 |
+
"howler monkey",
|
| 381 |
+
"titi",
|
| 382 |
+
"Geoffroy's spider monkey",
|
| 383 |
+
"common squirrel monkey",
|
| 384 |
+
"ring-tailed lemur",
|
| 385 |
+
"indri",
|
| 386 |
+
"Asian elephant",
|
| 387 |
+
"African bush elephant",
|
| 388 |
+
"red panda",
|
| 389 |
+
"giant panda",
|
| 390 |
+
"snoek",
|
| 391 |
+
"eel",
|
| 392 |
+
"coho salmon",
|
| 393 |
+
"rock beauty",
|
| 394 |
+
"clownfish",
|
| 395 |
+
"sturgeon",
|
| 396 |
+
"garfish",
|
| 397 |
+
"lionfish",
|
| 398 |
+
"pufferfish",
|
| 399 |
+
"abacus",
|
| 400 |
+
"abaya",
|
| 401 |
+
"academic gown",
|
| 402 |
+
"accordion",
|
| 403 |
+
"acoustic guitar",
|
| 404 |
+
"aircraft carrier",
|
| 405 |
+
"airliner",
|
| 406 |
+
"airship",
|
| 407 |
+
"altar",
|
| 408 |
+
"ambulance",
|
| 409 |
+
"amphibious vehicle",
|
| 410 |
+
"analog clock",
|
| 411 |
+
"apiary",
|
| 412 |
+
"apron",
|
| 413 |
+
"waste container",
|
| 414 |
+
"assault rifle",
|
| 415 |
+
"backpack",
|
| 416 |
+
"bakery",
|
| 417 |
+
"balance beam",
|
| 418 |
+
"balloon",
|
| 419 |
+
"ballpoint pen",
|
| 420 |
+
"Band-Aid",
|
| 421 |
+
"banjo",
|
| 422 |
+
"baluster",
|
| 423 |
+
"barbell",
|
| 424 |
+
"barber chair",
|
| 425 |
+
"barbershop",
|
| 426 |
+
"barn",
|
| 427 |
+
"barometer",
|
| 428 |
+
"barrel",
|
| 429 |
+
"wheelbarrow",
|
| 430 |
+
"baseball",
|
| 431 |
+
"basketball",
|
| 432 |
+
"bassinet",
|
| 433 |
+
"bassoon",
|
| 434 |
+
"swimming cap",
|
| 435 |
+
"bath towel",
|
| 436 |
+
"bathtub",
|
| 437 |
+
"station wagon",
|
| 438 |
+
"lighthouse",
|
| 439 |
+
"beaker",
|
| 440 |
+
"military cap",
|
| 441 |
+
"beer bottle",
|
| 442 |
+
"beer glass",
|
| 443 |
+
"bell-cot",
|
| 444 |
+
"bib",
|
| 445 |
+
"tandem bicycle",
|
| 446 |
+
"bikini",
|
| 447 |
+
"ring binder",
|
| 448 |
+
"binoculars",
|
| 449 |
+
"birdhouse",
|
| 450 |
+
"boathouse",
|
| 451 |
+
"bobsleigh",
|
| 452 |
+
"bolo tie",
|
| 453 |
+
"poke bonnet",
|
| 454 |
+
"bookcase",
|
| 455 |
+
"bookstore",
|
| 456 |
+
"bottle cap",
|
| 457 |
+
"bow",
|
| 458 |
+
"bow tie",
|
| 459 |
+
"brass",
|
| 460 |
+
"bra",
|
| 461 |
+
"breakwater",
|
| 462 |
+
"breastplate",
|
| 463 |
+
"broom",
|
| 464 |
+
"bucket",
|
| 465 |
+
"buckle",
|
| 466 |
+
"bulletproof vest",
|
| 467 |
+
"high-speed train",
|
| 468 |
+
"butcher shop",
|
| 469 |
+
"taxicab",
|
| 470 |
+
"cauldron",
|
| 471 |
+
"candle",
|
| 472 |
+
"cannon",
|
| 473 |
+
"canoe",
|
| 474 |
+
"can opener",
|
| 475 |
+
"cardigan",
|
| 476 |
+
"car mirror",
|
| 477 |
+
"carousel",
|
| 478 |
+
"tool kit",
|
| 479 |
+
"carton",
|
| 480 |
+
"car wheel",
|
| 481 |
+
"automated teller machine",
|
| 482 |
+
"cassette",
|
| 483 |
+
"cassette player",
|
| 484 |
+
"castle",
|
| 485 |
+
"catamaran",
|
| 486 |
+
"CD player",
|
| 487 |
+
"cello",
|
| 488 |
+
"mobile phone",
|
| 489 |
+
"chain",
|
| 490 |
+
"chain-link fence",
|
| 491 |
+
"chain mail",
|
| 492 |
+
"chainsaw",
|
| 493 |
+
"chest",
|
| 494 |
+
"chiffonier",
|
| 495 |
+
"chime",
|
| 496 |
+
"china cabinet",
|
| 497 |
+
"Christmas stocking",
|
| 498 |
+
"church",
|
| 499 |
+
"movie theater",
|
| 500 |
+
"cleaver",
|
| 501 |
+
"cliff dwelling",
|
| 502 |
+
"cloak",
|
| 503 |
+
"clogs",
|
| 504 |
+
"cocktail shaker",
|
| 505 |
+
"coffee mug",
|
| 506 |
+
"coffeemaker",
|
| 507 |
+
"coil",
|
| 508 |
+
"combination lock",
|
| 509 |
+
"computer keyboard",
|
| 510 |
+
"confectionery store",
|
| 511 |
+
"container ship",
|
| 512 |
+
"convertible",
|
| 513 |
+
"corkscrew",
|
| 514 |
+
"cornet",
|
| 515 |
+
"cowboy boot",
|
| 516 |
+
"cowboy hat",
|
| 517 |
+
"cradle",
|
| 518 |
+
"crane (machine)",
|
| 519 |
+
"crash helmet",
|
| 520 |
+
"crate",
|
| 521 |
+
"infant bed",
|
| 522 |
+
"Crock Pot",
|
| 523 |
+
"croquet ball",
|
| 524 |
+
"crutch",
|
| 525 |
+
"cuirass",
|
| 526 |
+
"dam",
|
| 527 |
+
"desk",
|
| 528 |
+
"desktop computer",
|
| 529 |
+
"rotary dial telephone",
|
| 530 |
+
"diaper",
|
| 531 |
+
"digital clock",
|
| 532 |
+
"digital watch",
|
| 533 |
+
"dining table",
|
| 534 |
+
"dishcloth",
|
| 535 |
+
"dishwasher",
|
| 536 |
+
"disc brake",
|
| 537 |
+
"dock",
|
| 538 |
+
"dog sled",
|
| 539 |
+
"dome",
|
| 540 |
+
"doormat",
|
| 541 |
+
"drilling rig",
|
| 542 |
+
"drum",
|
| 543 |
+
"drumstick",
|
| 544 |
+
"dumbbell",
|
| 545 |
+
"Dutch oven",
|
| 546 |
+
"electric fan",
|
| 547 |
+
"electric guitar",
|
| 548 |
+
"electric locomotive",
|
| 549 |
+
"entertainment center",
|
| 550 |
+
"envelope",
|
| 551 |
+
"espresso machine",
|
| 552 |
+
"face powder",
|
| 553 |
+
"feather boa",
|
| 554 |
+
"filing cabinet",
|
| 555 |
+
"fireboat",
|
| 556 |
+
"fire engine",
|
| 557 |
+
"fire screen sheet",
|
| 558 |
+
"flagpole",
|
| 559 |
+
"flute",
|
| 560 |
+
"folding chair",
|
| 561 |
+
"football helmet",
|
| 562 |
+
"forklift",
|
| 563 |
+
"fountain",
|
| 564 |
+
"fountain pen",
|
| 565 |
+
"four-poster bed",
|
| 566 |
+
"freight car",
|
| 567 |
+
"French horn",
|
| 568 |
+
"frying pan",
|
| 569 |
+
"fur coat",
|
| 570 |
+
"garbage truck",
|
| 571 |
+
"gas mask",
|
| 572 |
+
"gas pump",
|
| 573 |
+
"goblet",
|
| 574 |
+
"go-kart",
|
| 575 |
+
"golf ball",
|
| 576 |
+
"golf cart",
|
| 577 |
+
"gondola",
|
| 578 |
+
"gong",
|
| 579 |
+
"gown",
|
| 580 |
+
"grand piano",
|
| 581 |
+
"greenhouse",
|
| 582 |
+
"grille",
|
| 583 |
+
"grocery store",
|
| 584 |
+
"guillotine",
|
| 585 |
+
"barrette",
|
| 586 |
+
"hair spray",
|
| 587 |
+
"half-track",
|
| 588 |
+
"hammer",
|
| 589 |
+
"hamper",
|
| 590 |
+
"hair dryer",
|
| 591 |
+
"hand-held computer",
|
| 592 |
+
"handkerchief",
|
| 593 |
+
"hard disk drive",
|
| 594 |
+
"harmonica",
|
| 595 |
+
"harp",
|
| 596 |
+
"harvester",
|
| 597 |
+
"hatchet",
|
| 598 |
+
"holster",
|
| 599 |
+
"home theater",
|
| 600 |
+
"honeycomb",
|
| 601 |
+
"hook",
|
| 602 |
+
"hoop skirt",
|
| 603 |
+
"horizontal bar",
|
| 604 |
+
"horse-drawn vehicle",
|
| 605 |
+
"hourglass",
|
| 606 |
+
"iPod",
|
| 607 |
+
"clothes iron",
|
| 608 |
+
"jack-o'-lantern",
|
| 609 |
+
"jeans",
|
| 610 |
+
"jeep",
|
| 611 |
+
"T-shirt",
|
| 612 |
+
"jigsaw puzzle",
|
| 613 |
+
"pulled rickshaw",
|
| 614 |
+
"joystick",
|
| 615 |
+
"kimono",
|
| 616 |
+
"knee pad",
|
| 617 |
+
"knot",
|
| 618 |
+
"lab coat",
|
| 619 |
+
"ladle",
|
| 620 |
+
"lampshade",
|
| 621 |
+
"laptop computer",
|
| 622 |
+
"lawn mower",
|
| 623 |
+
"lens cap",
|
| 624 |
+
"paper knife",
|
| 625 |
+
"library",
|
| 626 |
+
"lifeboat",
|
| 627 |
+
"lighter",
|
| 628 |
+
"limousine",
|
| 629 |
+
"ocean liner",
|
| 630 |
+
"lipstick",
|
| 631 |
+
"slip-on shoe",
|
| 632 |
+
"lotion",
|
| 633 |
+
"speaker",
|
| 634 |
+
"loupe",
|
| 635 |
+
"sawmill",
|
| 636 |
+
"magnetic compass",
|
| 637 |
+
"mail bag",
|
| 638 |
+
"mailbox",
|
| 639 |
+
"tights",
|
| 640 |
+
"tank suit",
|
| 641 |
+
"manhole cover",
|
| 642 |
+
"maraca",
|
| 643 |
+
"marimba",
|
| 644 |
+
"mask",
|
| 645 |
+
"match",
|
| 646 |
+
"maypole",
|
| 647 |
+
"maze",
|
| 648 |
+
"measuring cup",
|
| 649 |
+
"medicine chest",
|
| 650 |
+
"megalith",
|
| 651 |
+
"microphone",
|
| 652 |
+
"microwave oven",
|
| 653 |
+
"military uniform",
|
| 654 |
+
"milk can",
|
| 655 |
+
"minibus",
|
| 656 |
+
"miniskirt",
|
| 657 |
+
"minivan",
|
| 658 |
+
"missile",
|
| 659 |
+
"mitten",
|
| 660 |
+
"mixing bowl",
|
| 661 |
+
"mobile home",
|
| 662 |
+
"Model T",
|
| 663 |
+
"modem",
|
| 664 |
+
"monastery",
|
| 665 |
+
"monitor",
|
| 666 |
+
"moped",
|
| 667 |
+
"mortar",
|
| 668 |
+
"square academic cap",
|
| 669 |
+
"mosque",
|
| 670 |
+
"mosquito net",
|
| 671 |
+
"scooter",
|
| 672 |
+
"mountain bike",
|
| 673 |
+
"tent",
|
| 674 |
+
"computer mouse",
|
| 675 |
+
"mousetrap",
|
| 676 |
+
"moving van",
|
| 677 |
+
"muzzle",
|
| 678 |
+
"nail",
|
| 679 |
+
"neck brace",
|
| 680 |
+
"necklace",
|
| 681 |
+
"nipple",
|
| 682 |
+
"notebook computer",
|
| 683 |
+
"obelisk",
|
| 684 |
+
"oboe",
|
| 685 |
+
"ocarina",
|
| 686 |
+
"odometer",
|
| 687 |
+
"oil filter",
|
| 688 |
+
"organ",
|
| 689 |
+
"oscilloscope",
|
| 690 |
+
"overskirt",
|
| 691 |
+
"bullock cart",
|
| 692 |
+
"oxygen mask",
|
| 693 |
+
"packet",
|
| 694 |
+
"paddle",
|
| 695 |
+
"paddle wheel",
|
| 696 |
+
"padlock",
|
| 697 |
+
"paintbrush",
|
| 698 |
+
"pajamas",
|
| 699 |
+
"palace",
|
| 700 |
+
"pan flute",
|
| 701 |
+
"paper towel",
|
| 702 |
+
"parachute",
|
| 703 |
+
"parallel bars",
|
| 704 |
+
"park bench",
|
| 705 |
+
"parking meter",
|
| 706 |
+
"passenger car",
|
| 707 |
+
"patio",
|
| 708 |
+
"payphone",
|
| 709 |
+
"pedestal",
|
| 710 |
+
"pencil case",
|
| 711 |
+
"pencil sharpener",
|
| 712 |
+
"perfume",
|
| 713 |
+
"Petri dish",
|
| 714 |
+
"photocopier",
|
| 715 |
+
"plectrum",
|
| 716 |
+
"Pickelhaube",
|
| 717 |
+
"picket fence",
|
| 718 |
+
"pickup truck",
|
| 719 |
+
"pier",
|
| 720 |
+
"piggy bank",
|
| 721 |
+
"pill bottle",
|
| 722 |
+
"pillow",
|
| 723 |
+
"ping-pong ball",
|
| 724 |
+
"pinwheel",
|
| 725 |
+
"pirate ship",
|
| 726 |
+
"pitcher",
|
| 727 |
+
"hand plane",
|
| 728 |
+
"planetarium",
|
| 729 |
+
"plastic bag",
|
| 730 |
+
"plate rack",
|
| 731 |
+
"plow",
|
| 732 |
+
"plunger",
|
| 733 |
+
"Polaroid camera",
|
| 734 |
+
"pole",
|
| 735 |
+
"police van",
|
| 736 |
+
"poncho",
|
| 737 |
+
"billiard table",
|
| 738 |
+
"soda bottle",
|
| 739 |
+
"pot",
|
| 740 |
+
"potter's wheel",
|
| 741 |
+
"power drill",
|
| 742 |
+
"prayer rug",
|
| 743 |
+
"printer",
|
| 744 |
+
"prison",
|
| 745 |
+
"projectile",
|
| 746 |
+
"projector",
|
| 747 |
+
"hockey puck",
|
| 748 |
+
"punching bag",
|
| 749 |
+
"purse",
|
| 750 |
+
"quill",
|
| 751 |
+
"quilt",
|
| 752 |
+
"race car",
|
| 753 |
+
"racket",
|
| 754 |
+
"radiator",
|
| 755 |
+
"radio",
|
| 756 |
+
"radio telescope",
|
| 757 |
+
"rain barrel",
|
| 758 |
+
"recreational vehicle",
|
| 759 |
+
"reel",
|
| 760 |
+
"reflex camera",
|
| 761 |
+
"refrigerator",
|
| 762 |
+
"remote control",
|
| 763 |
+
"restaurant",
|
| 764 |
+
"revolver",
|
| 765 |
+
"rifle",
|
| 766 |
+
"rocking chair",
|
| 767 |
+
"rotisserie",
|
| 768 |
+
"eraser",
|
| 769 |
+
"rugby ball",
|
| 770 |
+
"ruler",
|
| 771 |
+
"running shoe",
|
| 772 |
+
"safe",
|
| 773 |
+
"safety pin",
|
| 774 |
+
"salt shaker",
|
| 775 |
+
"sandal",
|
| 776 |
+
"sarong",
|
| 777 |
+
"saxophone",
|
| 778 |
+
"scabbard",
|
| 779 |
+
"weighing scale",
|
| 780 |
+
"school bus",
|
| 781 |
+
"schooner",
|
| 782 |
+
"scoreboard",
|
| 783 |
+
"CRT screen",
|
| 784 |
+
"screw",
|
| 785 |
+
"screwdriver",
|
| 786 |
+
"seat belt",
|
| 787 |
+
"sewing machine",
|
| 788 |
+
"shield",
|
| 789 |
+
"shoe store",
|
| 790 |
+
"shoji",
|
| 791 |
+
"shopping basket",
|
| 792 |
+
"shopping cart",
|
| 793 |
+
"shovel",
|
| 794 |
+
"shower cap",
|
| 795 |
+
"shower curtain",
|
| 796 |
+
"ski",
|
| 797 |
+
"ski mask",
|
| 798 |
+
"sleeping bag",
|
| 799 |
+
"slide rule",
|
| 800 |
+
"sliding door",
|
| 801 |
+
"slot machine",
|
| 802 |
+
"snorkel",
|
| 803 |
+
"snowmobile",
|
| 804 |
+
"snowplow",
|
| 805 |
+
"soap dispenser",
|
| 806 |
+
"soccer ball",
|
| 807 |
+
"sock",
|
| 808 |
+
"solar thermal collector",
|
| 809 |
+
"sombrero",
|
| 810 |
+
"soup bowl",
|
| 811 |
+
"space bar",
|
| 812 |
+
"space heater",
|
| 813 |
+
"space shuttle",
|
| 814 |
+
"spatula",
|
| 815 |
+
"motorboat",
|
| 816 |
+
"spider web",
|
| 817 |
+
"spindle",
|
| 818 |
+
"sports car",
|
| 819 |
+
"spotlight",
|
| 820 |
+
"stage",
|
| 821 |
+
"steam locomotive",
|
| 822 |
+
"through arch bridge",
|
| 823 |
+
"steel drum",
|
| 824 |
+
"stethoscope",
|
| 825 |
+
"scarf",
|
| 826 |
+
"stone wall",
|
| 827 |
+
"stopwatch",
|
| 828 |
+
"stove",
|
| 829 |
+
"strainer",
|
| 830 |
+
"tram",
|
| 831 |
+
"stretcher",
|
| 832 |
+
"couch",
|
| 833 |
+
"stupa",
|
| 834 |
+
"submarine",
|
| 835 |
+
"suit",
|
| 836 |
+
"sundial",
|
| 837 |
+
"sunglass",
|
| 838 |
+
"sunglasses",
|
| 839 |
+
"sunscreen",
|
| 840 |
+
"suspension bridge",
|
| 841 |
+
"mop",
|
| 842 |
+
"sweatshirt",
|
| 843 |
+
"swimsuit",
|
| 844 |
+
"swing",
|
| 845 |
+
"switch",
|
| 846 |
+
"syringe",
|
| 847 |
+
"table lamp",
|
| 848 |
+
"tank",
|
| 849 |
+
"tape player",
|
| 850 |
+
"teapot",
|
| 851 |
+
"teddy bear",
|
| 852 |
+
"television",
|
| 853 |
+
"tennis ball",
|
| 854 |
+
"thatched roof",
|
| 855 |
+
"front curtain",
|
| 856 |
+
"thimble",
|
| 857 |
+
"threshing machine",
|
| 858 |
+
"throne",
|
| 859 |
+
"tile roof",
|
| 860 |
+
"toaster",
|
| 861 |
+
"tobacco shop",
|
| 862 |
+
"toilet seat",
|
| 863 |
+
"torch",
|
| 864 |
+
"totem pole",
|
| 865 |
+
"tow truck",
|
| 866 |
+
"toy store",
|
| 867 |
+
"tractor",
|
| 868 |
+
"semi-trailer truck",
|
| 869 |
+
"tray",
|
| 870 |
+
"trench coat",
|
| 871 |
+
"tricycle",
|
| 872 |
+
"trimaran",
|
| 873 |
+
"tripod",
|
| 874 |
+
"triumphal arch",
|
| 875 |
+
"trolleybus",
|
| 876 |
+
"trombone",
|
| 877 |
+
"tub",
|
| 878 |
+
"turnstile",
|
| 879 |
+
"typewriter keyboard",
|
| 880 |
+
"umbrella",
|
| 881 |
+
"unicycle",
|
| 882 |
+
"upright piano",
|
| 883 |
+
"vacuum cleaner",
|
| 884 |
+
"vase",
|
| 885 |
+
"vault",
|
| 886 |
+
"velvet",
|
| 887 |
+
"vending machine",
|
| 888 |
+
"vestment",
|
| 889 |
+
"viaduct",
|
| 890 |
+
"violin",
|
| 891 |
+
"volleyball",
|
| 892 |
+
"waffle iron",
|
| 893 |
+
"wall clock",
|
| 894 |
+
"wallet",
|
| 895 |
+
"wardrobe",
|
| 896 |
+
"military aircraft",
|
| 897 |
+
"sink",
|
| 898 |
+
"washing machine",
|
| 899 |
+
"water bottle",
|
| 900 |
+
"water jug",
|
| 901 |
+
"water tower",
|
| 902 |
+
"whiskey jug",
|
| 903 |
+
"whistle",
|
| 904 |
+
"wig",
|
| 905 |
+
"window screen",
|
| 906 |
+
"window shade",
|
| 907 |
+
"Windsor tie",
|
| 908 |
+
"wine bottle",
|
| 909 |
+
"wing",
|
| 910 |
+
"wok",
|
| 911 |
+
"wooden spoon",
|
| 912 |
+
"wool",
|
| 913 |
+
"split-rail fence",
|
| 914 |
+
"shipwreck",
|
| 915 |
+
"yawl",
|
| 916 |
+
"yurt",
|
| 917 |
+
"website",
|
| 918 |
+
"comic book",
|
| 919 |
+
"crossword",
|
| 920 |
+
"traffic sign",
|
| 921 |
+
"traffic light",
|
| 922 |
+
"dust jacket",
|
| 923 |
+
"menu",
|
| 924 |
+
"plate",
|
| 925 |
+
"guacamole",
|
| 926 |
+
"consomme",
|
| 927 |
+
"hot pot",
|
| 928 |
+
"trifle",
|
| 929 |
+
"ice cream",
|
| 930 |
+
"ice pop",
|
| 931 |
+
"baguette",
|
| 932 |
+
"bagel",
|
| 933 |
+
"pretzel",
|
| 934 |
+
"cheeseburger",
|
| 935 |
+
"hot dog",
|
| 936 |
+
"mashed potato",
|
| 937 |
+
"cabbage",
|
| 938 |
+
"broccoli",
|
| 939 |
+
"cauliflower",
|
| 940 |
+
"zucchini",
|
| 941 |
+
"spaghetti squash",
|
| 942 |
+
"acorn squash",
|
| 943 |
+
"butternut squash",
|
| 944 |
+
"cucumber",
|
| 945 |
+
"artichoke",
|
| 946 |
+
"bell pepper",
|
| 947 |
+
"cardoon",
|
| 948 |
+
"mushroom",
|
| 949 |
+
"Granny Smith",
|
| 950 |
+
"strawberry",
|
| 951 |
+
"orange",
|
| 952 |
+
"lemon",
|
| 953 |
+
"fig",
|
| 954 |
+
"pineapple",
|
| 955 |
+
"banana",
|
| 956 |
+
"jackfruit",
|
| 957 |
+
"custard apple",
|
| 958 |
+
"pomegranate",
|
| 959 |
+
"hay",
|
| 960 |
+
"carbonara",
|
| 961 |
+
"chocolate syrup",
|
| 962 |
+
"dough",
|
| 963 |
+
"meatloaf",
|
| 964 |
+
"pizza",
|
| 965 |
+
"pot pie",
|
| 966 |
+
"burrito",
|
| 967 |
+
"red wine",
|
| 968 |
+
"espresso",
|
| 969 |
+
"cup",
|
| 970 |
+
"eggnog",
|
| 971 |
+
"alp",
|
| 972 |
+
"bubble",
|
| 973 |
+
"cliff",
|
| 974 |
+
"coral reef",
|
| 975 |
+
"geyser",
|
| 976 |
+
"lakeshore",
|
| 977 |
+
"promontory",
|
| 978 |
+
"shoal",
|
| 979 |
+
"seashore",
|
| 980 |
+
"valley",
|
| 981 |
+
"volcano",
|
| 982 |
+
"baseball player",
|
| 983 |
+
"bridegroom",
|
| 984 |
+
"scuba diver",
|
| 985 |
+
"rapeseed",
|
| 986 |
+
"daisy",
|
| 987 |
+
"yellow lady's slipper",
|
| 988 |
+
"corn",
|
| 989 |
+
"acorn",
|
| 990 |
+
"rose hip",
|
| 991 |
+
"horse chestnut seed",
|
| 992 |
+
"coral fungus",
|
| 993 |
+
"agaric",
|
| 994 |
+
"gyromitra",
|
| 995 |
+
"stinkhorn mushroom",
|
| 996 |
+
"earth star",
|
| 997 |
+
"hen-of-the-woods",
|
| 998 |
+
"bolete",
|
| 999 |
+
"ear",
|
| 1000 |
+
"toilet paper"]
|
images/breach_hump.jpeg
ADDED
|
images/bull_shark.jpeg
ADDED
|
images/dolphin.jpeg
ADDED
|
images/fish.jpeg
ADDED
|
images/hotdog.jpeg
ADDED
|
images/humpback.jpeg
ADDED
|
images/killer_whale.jpeg
ADDED
|
images/tuna.jpeg
ADDED
|
requirements.txt
ADDED
|
@@ -0,0 +1,432 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
absl-py==1.0.0
|
| 2 |
+
aiohttp==3.8.1
|
| 3 |
+
aiosignal==1.2.0
|
| 4 |
+
alabaster==0.7.12
|
| 5 |
+
albumentations==0.1.12
|
| 6 |
+
altair==4.2.0
|
| 7 |
+
analytics-python==1.4.0
|
| 8 |
+
anyio==3.5.0
|
| 9 |
+
appdirs==1.4.4
|
| 10 |
+
argon2-cffi==21.3.0
|
| 11 |
+
argon2-cffi-bindings==21.2.0
|
| 12 |
+
arviz==0.12.0
|
| 13 |
+
asgiref==3.5.0
|
| 14 |
+
astor==0.8.1
|
| 15 |
+
astropy==4.3.1
|
| 16 |
+
astunparse==1.6.3
|
| 17 |
+
async-timeout==4.0.2
|
| 18 |
+
asynctest==0.13.0
|
| 19 |
+
atari-py==0.2.9
|
| 20 |
+
atomicwrites==1.4.0
|
| 21 |
+
attrs==21.4.0
|
| 22 |
+
audioread==2.1.9
|
| 23 |
+
autograd==1.4
|
| 24 |
+
Babel==2.9.1
|
| 25 |
+
backcall==0.2.0
|
| 26 |
+
backoff==1.10.0
|
| 27 |
+
bcrypt==3.2.0
|
| 28 |
+
beautifulsoup4==4.6.3
|
| 29 |
+
bleach==5.0.0
|
| 30 |
+
blinker==1.4
|
| 31 |
+
blis==0.4.1
|
| 32 |
+
bokeh==2.3.3
|
| 33 |
+
Bottleneck==1.3.4
|
| 34 |
+
branca==0.4.2
|
| 35 |
+
bs4==0.0.1
|
| 36 |
+
CacheControl==0.12.10
|
| 37 |
+
cached-property==1.5.2
|
| 38 |
+
cachetools==4.2.4
|
| 39 |
+
catalogue==1.0.0
|
| 40 |
+
certifi==2021.10.8
|
| 41 |
+
cffi==1.15.0
|
| 42 |
+
cftime==1.6.0
|
| 43 |
+
chardet==3.0.4
|
| 44 |
+
charset-normalizer==2.0.12
|
| 45 |
+
click==7.1.2
|
| 46 |
+
cloudpickle==1.3.0
|
| 47 |
+
cmake==3.12.0
|
| 48 |
+
cmdstanpy==0.9.5
|
| 49 |
+
colorcet==3.0.0
|
| 50 |
+
colorlover==0.3.0
|
| 51 |
+
community==1.0.0b1
|
| 52 |
+
contextlib2==0.5.5
|
| 53 |
+
convertdate==2.4.0
|
| 54 |
+
coverage==3.7.1
|
| 55 |
+
coveralls==0.5
|
| 56 |
+
crcmod==1.7
|
| 57 |
+
cryptography==36.0.2
|
| 58 |
+
cufflinks==0.17.3
|
| 59 |
+
cupy-cuda111==9.4.0
|
| 60 |
+
cvxopt==1.2.7
|
| 61 |
+
cvxpy==1.0.31
|
| 62 |
+
cycler==0.11.0
|
| 63 |
+
cymem==2.0.6
|
| 64 |
+
Cython==0.29.28
|
| 65 |
+
daft==0.0.4
|
| 66 |
+
dask==2.12.0
|
| 67 |
+
datascience==0.10.6
|
| 68 |
+
debugpy==1.0.0
|
| 69 |
+
decorator==4.4.2
|
| 70 |
+
defusedxml==0.7.1
|
| 71 |
+
descartes==1.1.0
|
| 72 |
+
dill==0.3.4
|
| 73 |
+
distributed==1.25.3
|
| 74 |
+
dlib @ file:///dlib-19.18.0-cp37-cp37m-linux_x86_64.whl
|
| 75 |
+
dm-tree==0.1.7
|
| 76 |
+
docopt==0.6.2
|
| 77 |
+
docutils==0.17.1
|
| 78 |
+
dopamine-rl==1.0.5
|
| 79 |
+
earthengine-api==0.1.306
|
| 80 |
+
easydict==1.9
|
| 81 |
+
ecos==2.0.10
|
| 82 |
+
editdistance==0.5.3
|
| 83 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.5/en_core_web_sm-2.2.5.tar.gz
|
| 84 |
+
entrypoints==0.4
|
| 85 |
+
ephem==4.1.3
|
| 86 |
+
et-xmlfile==1.1.0
|
| 87 |
+
fa2==0.3.5
|
| 88 |
+
fastai==1.0.61
|
| 89 |
+
fastapi==0.75.2
|
| 90 |
+
fastdtw==0.3.4
|
| 91 |
+
fastjsonschema==2.15.3
|
| 92 |
+
fastprogress==1.0.2
|
| 93 |
+
fastrlock==0.8
|
| 94 |
+
fbprophet==0.7.1
|
| 95 |
+
feather-format==0.4.1
|
| 96 |
+
ffmpy==0.3.0
|
| 97 |
+
filelock==3.6.0
|
| 98 |
+
firebase-admin==4.4.0
|
| 99 |
+
fix-yahoo-finance==0.0.22
|
| 100 |
+
Flask==1.1.4
|
| 101 |
+
flatbuffers==2.0
|
| 102 |
+
folium==0.8.3
|
| 103 |
+
frozenlist==1.3.0
|
| 104 |
+
future==0.16.0
|
| 105 |
+
gast==0.5.3
|
| 106 |
+
GDAL==2.2.2
|
| 107 |
+
gdown==4.4.0
|
| 108 |
+
gensim==3.6.0
|
| 109 |
+
geographiclib==1.52
|
| 110 |
+
geopy==1.17.0
|
| 111 |
+
gin-config==0.5.0
|
| 112 |
+
gitdb==4.0.9
|
| 113 |
+
GitPython==3.1.27
|
| 114 |
+
glob2==0.7
|
| 115 |
+
google==2.0.3
|
| 116 |
+
google-api-core==1.31.5
|
| 117 |
+
google-api-python-client==1.12.11
|
| 118 |
+
google-auth==1.35.0
|
| 119 |
+
google-auth-httplib2==0.0.4
|
| 120 |
+
google-auth-oauthlib==0.4.6
|
| 121 |
+
google-cloud-bigquery==1.21.0
|
| 122 |
+
google-cloud-bigquery-storage==1.1.1
|
| 123 |
+
google-cloud-core==1.0.3
|
| 124 |
+
google-cloud-datastore==1.8.0
|
| 125 |
+
google-cloud-firestore==1.7.0
|
| 126 |
+
google-cloud-language==1.2.0
|
| 127 |
+
google-cloud-storage==1.18.1
|
| 128 |
+
google-cloud-translate==1.5.0
|
| 129 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz
|
| 130 |
+
google-pasta==0.2.0
|
| 131 |
+
google-resumable-media==0.4.1
|
| 132 |
+
googleapis-common-protos==1.56.0
|
| 133 |
+
googledrivedownloader==0.4
|
| 134 |
+
gradio==2.9.4
|
| 135 |
+
graphviz==0.10.1
|
| 136 |
+
greenlet==1.1.2
|
| 137 |
+
grpcio==1.44.0
|
| 138 |
+
gspread==3.4.2
|
| 139 |
+
gspread-dataframe==3.0.8
|
| 140 |
+
gym==0.17.3
|
| 141 |
+
h11==0.13.0
|
| 142 |
+
h5py==3.1.0
|
| 143 |
+
HeapDict==1.0.1
|
| 144 |
+
hijri-converter==2.2.3
|
| 145 |
+
holidays==0.10.5.2
|
| 146 |
+
holoviews==1.14.8
|
| 147 |
+
html5lib==1.0.1
|
| 148 |
+
httpimport==0.5.18
|
| 149 |
+
httplib2==0.17.4
|
| 150 |
+
httplib2shim==0.0.3
|
| 151 |
+
humanize==0.5.1
|
| 152 |
+
hyperopt==0.1.2
|
| 153 |
+
ideep4py==2.0.0.post3
|
| 154 |
+
idna==2.10
|
| 155 |
+
imageio==2.4.1
|
| 156 |
+
imagesize==1.3.0
|
| 157 |
+
imbalanced-learn==0.8.1
|
| 158 |
+
imblearn==0.0
|
| 159 |
+
imgaug==0.2.9
|
| 160 |
+
importlib-metadata==4.11.3
|
| 161 |
+
importlib-resources==5.7.0
|
| 162 |
+
imutils==0.5.4
|
| 163 |
+
inflect==2.1.0
|
| 164 |
+
iniconfig==1.1.1
|
| 165 |
+
intel-openmp==2022.0.2
|
| 166 |
+
intervaltree==2.1.0
|
| 167 |
+
ipykernel==6.13.0
|
| 168 |
+
ipython==7.32.0
|
| 169 |
+
ipython-genutils==0.2.0
|
| 170 |
+
ipython-sql==0.3.9
|
| 171 |
+
ipywidgets==7.7.0
|
| 172 |
+
itsdangerous==1.1.0
|
| 173 |
+
jax==0.3.4
|
| 174 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.3.2+cuda11.cudnn805-cp37-none-manylinux2010_x86_64.whl
|
| 175 |
+
jedi==0.18.1
|
| 176 |
+
jieba==0.42.1
|
| 177 |
+
Jinja2==2.11.3
|
| 178 |
+
joblib==1.1.0
|
| 179 |
+
jpeg4py==0.1.4
|
| 180 |
+
jsonschema==4.3.3
|
| 181 |
+
jupyter==1.0.0
|
| 182 |
+
jupyter-client==7.2.2
|
| 183 |
+
jupyter-console==5.2.0
|
| 184 |
+
jupyter-core==4.9.2
|
| 185 |
+
jupyterlab-pygments==0.2.2
|
| 186 |
+
jupyterlab-widgets==1.1.0
|
| 187 |
+
kaggle==1.5.12
|
| 188 |
+
kapre==0.3.7
|
| 189 |
+
keras==2.8.0
|
| 190 |
+
Keras-Preprocessing==1.1.2
|
| 191 |
+
keras-vis==0.4.1
|
| 192 |
+
kiwisolver==1.4.2
|
| 193 |
+
korean-lunar-calendar==0.2.1
|
| 194 |
+
libclang==13.0.0
|
| 195 |
+
librosa==0.8.1
|
| 196 |
+
lightgbm==2.2.3
|
| 197 |
+
linkify-it-py==1.0.3
|
| 198 |
+
llvmlite==0.34.0
|
| 199 |
+
lmdb==0.99
|
| 200 |
+
LunarCalendar==0.0.9
|
| 201 |
+
lxml==4.2.6
|
| 202 |
+
Markdown==3.3.6
|
| 203 |
+
markdown-it-py==2.1.0
|
| 204 |
+
MarkupSafe==2.0.1
|
| 205 |
+
matplotlib==3.2.2
|
| 206 |
+
matplotlib-inline==0.1.3
|
| 207 |
+
matplotlib-venn==0.11.7
|
| 208 |
+
mdit-py-plugins==0.3.0
|
| 209 |
+
mdurl==0.1.1
|
| 210 |
+
missingno==0.5.1
|
| 211 |
+
mistune==0.8.4
|
| 212 |
+
mizani==0.6.0
|
| 213 |
+
mkl==2019.0
|
| 214 |
+
mlxtend==0.14.0
|
| 215 |
+
monotonic==1.6
|
| 216 |
+
more-itertools==8.12.0
|
| 217 |
+
moviepy==0.2.3.5
|
| 218 |
+
mpmath==1.2.1
|
| 219 |
+
msgpack==1.0.3
|
| 220 |
+
multidict==6.0.2
|
| 221 |
+
multiprocess==0.70.12.2
|
| 222 |
+
multitasking==0.0.10
|
| 223 |
+
murmurhash==1.0.6
|
| 224 |
+
music21==5.5.0
|
| 225 |
+
natsort==5.5.0
|
| 226 |
+
nbclient==0.6.0
|
| 227 |
+
nbconvert==5.6.1
|
| 228 |
+
nbformat==5.3.0
|
| 229 |
+
nest-asyncio==1.5.5
|
| 230 |
+
netCDF4==1.5.8
|
| 231 |
+
networkx==2.6.3
|
| 232 |
+
nibabel==3.0.2
|
| 233 |
+
nltk==3.2.5
|
| 234 |
+
notebook==5.3.1
|
| 235 |
+
numba==0.51.2
|
| 236 |
+
numexpr==2.8.1
|
| 237 |
+
numpy==1.21.6
|
| 238 |
+
nvidia-ml-py3==7.352.0
|
| 239 |
+
oauth2client==4.1.3
|
| 240 |
+
oauthlib==3.2.0
|
| 241 |
+
okgrade==0.4.3
|
| 242 |
+
opencv-contrib-python==4.1.2.30
|
| 243 |
+
opencv-python==4.1.2.30
|
| 244 |
+
openpyxl==3.0.9
|
| 245 |
+
opt-einsum==3.3.0
|
| 246 |
+
orjson==3.6.8
|
| 247 |
+
osqp==0.6.2.post0
|
| 248 |
+
packaging==21.3
|
| 249 |
+
palettable==3.3.0
|
| 250 |
+
pandas==1.3.5
|
| 251 |
+
pandas-datareader==0.9.0
|
| 252 |
+
pandas-gbq==0.13.3
|
| 253 |
+
pandas-profiling==1.4.1
|
| 254 |
+
pandocfilters==1.5.0
|
| 255 |
+
panel==0.12.1
|
| 256 |
+
param==1.12.1
|
| 257 |
+
paramiko==2.10.3
|
| 258 |
+
parso==0.8.3
|
| 259 |
+
pathlib==1.0.1
|
| 260 |
+
patsy==0.5.2
|
| 261 |
+
pep517==0.12.0
|
| 262 |
+
pexpect==4.8.0
|
| 263 |
+
pickleshare==0.7.5
|
| 264 |
+
Pillow==7.1.2
|
| 265 |
+
pip-tools==6.2.0
|
| 266 |
+
plac==1.1.3
|
| 267 |
+
plotly==5.5.0
|
| 268 |
+
plotnine==0.6.0
|
| 269 |
+
pluggy==0.7.1
|
| 270 |
+
pooch==1.6.0
|
| 271 |
+
portpicker==1.3.9
|
| 272 |
+
prefetch-generator==1.0.1
|
| 273 |
+
preshed==3.0.6
|
| 274 |
+
prettytable==3.2.0
|
| 275 |
+
progressbar2==3.38.0
|
| 276 |
+
prometheus-client==0.14.1
|
| 277 |
+
promise==2.3
|
| 278 |
+
prompt-toolkit==3.0.29
|
| 279 |
+
protobuf==3.17.3
|
| 280 |
+
psutil==5.4.8
|
| 281 |
+
psycopg2==2.7.6.1
|
| 282 |
+
ptyprocess==0.7.0
|
| 283 |
+
py==1.11.0
|
| 284 |
+
pyarrow==6.0.1
|
| 285 |
+
pyasn1==0.4.8
|
| 286 |
+
pyasn1-modules==0.2.8
|
| 287 |
+
pycocotools==2.0.4
|
| 288 |
+
pycparser==2.21
|
| 289 |
+
pycryptodome==3.14.1
|
| 290 |
+
pyct==0.4.8
|
| 291 |
+
pydantic==1.9.0
|
| 292 |
+
pydata-google-auth==1.4.0
|
| 293 |
+
pydeck==0.7.1
|
| 294 |
+
pydot==1.3.0
|
| 295 |
+
pydot-ng==2.0.0
|
| 296 |
+
pydotplus==2.0.2
|
| 297 |
+
PyDrive==1.3.1
|
| 298 |
+
pydub==0.25.1
|
| 299 |
+
pyemd==0.5.1
|
| 300 |
+
pyerfa==2.0.0.1
|
| 301 |
+
pyglet==1.5.0
|
| 302 |
+
Pygments==2.6.1
|
| 303 |
+
pygobject==3.26.1
|
| 304 |
+
pymc3==3.11.4
|
| 305 |
+
PyMeeus==0.5.11
|
| 306 |
+
pymongo==4.1.1
|
| 307 |
+
Pympler==1.0.1
|
| 308 |
+
pymystem3==0.2.0
|
| 309 |
+
PyNaCl==1.5.0
|
| 310 |
+
PyOpenGL==3.1.6
|
| 311 |
+
pyparsing==3.0.8
|
| 312 |
+
pyrsistent==0.18.1
|
| 313 |
+
pysndfile==1.3.8
|
| 314 |
+
PySocks==1.7.1
|
| 315 |
+
pystan==2.19.1.1
|
| 316 |
+
pytest==3.6.4
|
| 317 |
+
python-apt==0.0.0
|
| 318 |
+
python-chess==0.23.11
|
| 319 |
+
python-dateutil==2.8.2
|
| 320 |
+
python-louvain==0.16
|
| 321 |
+
python-multipart==0.0.5
|
| 322 |
+
python-slugify==6.1.1
|
| 323 |
+
python-utils==3.1.0
|
| 324 |
+
pytz==2022.1
|
| 325 |
+
pyviz-comms==2.2.0
|
| 326 |
+
PyWavelets==1.3.0
|
| 327 |
+
PyYAML==3.13
|
| 328 |
+
pyzmq==22.3.0
|
| 329 |
+
qdldl==0.1.5.post2
|
| 330 |
+
qtconsole==5.3.0
|
| 331 |
+
QtPy==2.0.1
|
| 332 |
+
regex==2019.12.20
|
| 333 |
+
requests==2.23.0
|
| 334 |
+
requests-oauthlib==1.3.1
|
| 335 |
+
resampy==0.2.2
|
| 336 |
+
rpy2==3.4.5
|
| 337 |
+
rsa==4.8
|
| 338 |
+
scikit-image==0.18.3
|
| 339 |
+
scikit-learn==1.0.2
|
| 340 |
+
scipy==1.4.1
|
| 341 |
+
screen-resolution-extra==0.0.0
|
| 342 |
+
scs==3.2.0
|
| 343 |
+
seaborn==0.11.2
|
| 344 |
+
semver==2.13.0
|
| 345 |
+
Send2Trash==1.8.0
|
| 346 |
+
setuptools-git==1.2
|
| 347 |
+
Shapely==1.8.1.post1
|
| 348 |
+
simplegeneric==0.8.1
|
| 349 |
+
six==1.15.0
|
| 350 |
+
sklearn==0.0
|
| 351 |
+
sklearn-pandas==1.8.0
|
| 352 |
+
smart-open==5.2.1
|
| 353 |
+
smmap==5.0.0
|
| 354 |
+
sniffio==1.2.0
|
| 355 |
+
snowballstemmer==2.2.0
|
| 356 |
+
sortedcontainers==2.4.0
|
| 357 |
+
SoundFile==0.10.3.post1
|
| 358 |
+
soupsieve==2.3.2.post1
|
| 359 |
+
spacy==2.2.4
|
| 360 |
+
Sphinx==1.8.6
|
| 361 |
+
sphinxcontrib-serializinghtml==1.1.5
|
| 362 |
+
sphinxcontrib-websupport==1.2.4
|
| 363 |
+
SQLAlchemy==1.4.35
|
| 364 |
+
sqlparse==0.4.2
|
| 365 |
+
srsly==1.0.5
|
| 366 |
+
starlette==0.17.1
|
| 367 |
+
statsmodels==0.10.2
|
| 368 |
+
streamlit==1.8.1
|
| 369 |
+
sympy==1.7.1
|
| 370 |
+
tables==3.7.0
|
| 371 |
+
tabulate==0.8.9
|
| 372 |
+
tblib==1.7.0
|
| 373 |
+
tenacity==8.0.1
|
| 374 |
+
tensorboard==2.8.0
|
| 375 |
+
tensorboard-data-server==0.6.1
|
| 376 |
+
tensorboard-plugin-wit==1.8.1
|
| 377 |
+
tensorflow @ file:///tensorflow-2.8.0-cp37-cp37m-linux_x86_64.whl
|
| 378 |
+
tensorflow-datasets==4.0.1
|
| 379 |
+
tensorflow-estimator==2.8.0
|
| 380 |
+
tensorflow-gcs-config==2.8.0
|
| 381 |
+
tensorflow-hub==0.12.0
|
| 382 |
+
tensorflow-io-gcs-filesystem==0.24.0
|
| 383 |
+
tensorflow-metadata==1.7.0
|
| 384 |
+
tensorflow-probability==0.16.0
|
| 385 |
+
termcolor==1.1.0
|
| 386 |
+
terminado==0.13.3
|
| 387 |
+
testpath==0.6.0
|
| 388 |
+
text-unidecode==1.3
|
| 389 |
+
textblob==0.15.3
|
| 390 |
+
Theano-PyMC==1.1.2
|
| 391 |
+
thinc==7.4.0
|
| 392 |
+
threadpoolctl==3.1.0
|
| 393 |
+
tifffile==2021.11.2
|
| 394 |
+
tinycss2==1.1.1
|
| 395 |
+
toml==0.10.2
|
| 396 |
+
tomli==2.0.1
|
| 397 |
+
toolz==0.11.2
|
| 398 |
+
torch @ https://download.pytorch.org/whl/cu111/torch-1.10.0%2Bcu111-cp37-cp37m-linux_x86_64.whl
|
| 399 |
+
torchaudio @ https://download.pytorch.org/whl/cu111/torchaudio-0.10.0%2Bcu111-cp37-cp37m-linux_x86_64.whl
|
| 400 |
+
torchsummary==1.5.1
|
| 401 |
+
torchtext==0.11.0
|
| 402 |
+
torchvision @ https://download.pytorch.org/whl/cu111/torchvision-0.11.1%2Bcu111-cp37-cp37m-linux_x86_64.whl
|
| 403 |
+
tornado==6.1
|
| 404 |
+
tqdm==4.64.0
|
| 405 |
+
traitlets==5.1.1
|
| 406 |
+
tweepy==3.10.0
|
| 407 |
+
typeguard==2.7.1
|
| 408 |
+
typing-extensions==4.1.1
|
| 409 |
+
tzlocal==1.5.1
|
| 410 |
+
uc-micro-py==1.0.1
|
| 411 |
+
uritemplate==3.0.1
|
| 412 |
+
urllib3==1.24.3
|
| 413 |
+
uvicorn==0.17.6
|
| 414 |
+
validators==0.18.2
|
| 415 |
+
vega-datasets==0.9.0
|
| 416 |
+
wasabi==0.9.1
|
| 417 |
+
watchdog==2.1.7
|
| 418 |
+
wcwidth==0.2.5
|
| 419 |
+
webencodings==0.5.1
|
| 420 |
+
Werkzeug==1.0.1
|
| 421 |
+
widgetsnbextension==3.6.0
|
| 422 |
+
wordcloud==1.5.0
|
| 423 |
+
wrapt==1.14.0
|
| 424 |
+
xarray==0.18.2
|
| 425 |
+
xgboost==0.90
|
| 426 |
+
xkit==0.0.0
|
| 427 |
+
xlrd==1.1.0
|
| 428 |
+
xlwt==1.3.0
|
| 429 |
+
yarl==1.7.2
|
| 430 |
+
yellowbrick==1.4
|
| 431 |
+
zict==2.1.0
|
| 432 |
+
zipp==3.8.0
|