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Browse filesAdded code files
- app.py +53 -0
- classes.txt +1000 -0
- requirements.txt +3 -0
- resnet50_40epoch_imagenet1k.ckpt +3 -0
app.py
ADDED
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import gradio as gr
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import torch
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from torchvision import transforms, models
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from PIL import Image
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# Load your trained ResNet50 model checkpoint
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = models.resnet50(num_classes=1000) # Ensure the model matches your architecture
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checkpoint = torch.load("resnet50_40epoch_imagenet1k.ckpt", map_location=device) # Replace with your checkpoint path
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model.load_state_dict(checkpoint['model_state_dict']) # Load state_dict from your checkpoint
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model = model.to(device)
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model.eval()
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# Load ImageNet class labels
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with open("classes.txt") as f:
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class_labels = [line.strip() for line in f.readlines()]
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# Define the preprocessing pipeline
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preprocess = transforms.Compose([
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transforms.Resize(256),
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transforms.CenterCrop(224),
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transforms.ToTensor(),
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transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
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])
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# Function to predict top-5 classes
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def predict_top5(image):
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# Preprocess the image
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image = preprocess(image).unsqueeze(0).to(device)
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# Get predictions
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with torch.no_grad():
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outputs = model(image)
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probabilities = torch.nn.functional.softmax(outputs[0], dim=0)
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# Get top-5 predictions
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top5_prob, top5_catid = torch.topk(probabilities, 5)
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top5_results = {class_labels[catid]: prob.item() for prob, catid in zip(top5_prob, top5_catid)}
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return top5_results
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# Create the Gradio interface
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interface = gr.Interface(
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fn=predict_top5,
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inputs=gr.inputs.Image(type="pil"),
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outputs=gr.outputs.Label(num_top_classes=5),
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title="ResNet50 Image Classification",
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description="Upload an image to get the top-5 class predictions from the ResNet50 model trained on ImageNet 1k.",
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)
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# Launch the app
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if __name__ == "__main__":
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interface.launch()
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classes.txt
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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 Spaniel"
|
| 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 of corn"
|
| 1000 |
+
"toilet paper"
|
requirements.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
torch
|
| 2 |
+
torchvision
|
| 3 |
+
gradio
|
resnet50_40epoch_imagenet1k.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4c23582384173f1340f3c367175ddabbb1d0da96e4cfb0f4a8c1b979b2ab4a5
|
| 3 |
+
size 204828462
|