Spaces:
Sleeping
Sleeping
Kathir
commited on
Commit
·
44d3940
1
Parent(s):
70af5f8
Added Project files
Browse files- ViT_B16_510_classes.pth +3 -0
- app.py +60 -0
- class_names.txt +510 -0
- examples/1.jpg +0 -0
- examples/2.jpg +0 -0
- examples/3.jpg +0 -0
- examples/5.jpg +0 -0
- model.py +27 -0
- requirements.txt +3 -0
ViT_B16_510_classes.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d5bf68b92092a8b3e89d5b02662df0528e3ac84c2216aa2cf4e2482e5efdd96
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size 344825161
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app.py
ADDED
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import torch
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import torchvision
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import gradio as gr
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from model import create_vit_b16
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# loading the classnames
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class_names = []
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with open("/content/Birds_Classification/class_names.txt", "r") as f:
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for cls in f.readlines():
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class_names.append(cls[:-1])
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# creating a ViT model
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vit_b16_model, vit_transforms = create_vit_b16(num_classes=len(class_names))
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vit_b16_model.load_state_dict(
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torch.load(
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f="/content/Birds_Classification/ViT_B16_510_classes.pth",
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map_location=torch.device("cpu")
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)
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)
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# creating a predict function
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def predict(img):
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"""
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Makes prediction on the given image
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"""
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img = vit_transforms(img).unsqueeze(dim=0)
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vit_b16_model.eval()
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with torch.inference_mode():
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pred_logits = vit_b16_model(img)
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preds = torch.softmax(pred_logits, dim=1)
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# Create a prediction label and prediction probability dictionary for each prediction class
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pred_and_prob_labels = {class_names[i]: preds[i]*100 for i in range(len(class_names))}
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return pred_and_prob_labels
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# creating title, description for the webpage
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title = "Birds Classifier 🪶"
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description = "Classifies an Image of a Bird to any one of the 510 species."
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# creating examples list
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examples_list = [["examples/" + img] for img in os.listdir("examples")]
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# Building a gradio app
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bird_classification = gr.Interface(
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fn=predict,
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inputs=gr.Image(type="pil"),
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outputs=gr.Label(num_top_classes=3, label="Prediction"),
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examples = examples_list,
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title=title,
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description=description
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)
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# launching the web app
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bird_classification.launch()
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class_names.txt
ADDED
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+
ABBOTTS BABBLER
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+
ABBOTTS BOOBY
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| 3 |
+
ABYSSINIAN GROUND HORNBILL
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| 4 |
+
AFRICAN CROWNED CRANE
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| 5 |
+
AFRICAN EMERALD CUCKOO
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| 6 |
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AFRICAN FIREFINCH
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| 7 |
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AFRICAN OYSTER CATCHER
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| 8 |
+
AFRICAN PIED HORNBILL
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| 9 |
+
AFRICAN PYGMY GOOSE
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| 10 |
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ALBATROSS
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| 11 |
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ALBERTS TOWHEE
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| 12 |
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ALEXANDRINE PARAKEET
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| 13 |
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ALPINE CHOUGH
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| 14 |
+
ALTAMIRA YELLOWTHROAT
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| 15 |
+
AMERICAN AVOCET
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| 16 |
+
AMERICAN BITTERN
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| 17 |
+
AMERICAN COOT
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| 18 |
+
AMERICAN FLAMINGO
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| 19 |
+
AMERICAN GOLDFINCH
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| 20 |
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AMERICAN KESTREL
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| 21 |
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AMERICAN PIPIT
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| 22 |
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AMERICAN REDSTART
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| 23 |
+
AMERICAN ROBIN
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AMERICAN WIGEON
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AMETHYST WOODSTAR
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ANDEAN GOOSE
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+
ANDEAN LAPWING
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+
ANDEAN SISKIN
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ANHINGA
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ANIANIAU
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ANNAS HUMMINGBIRD
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ANTBIRD
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ANTILLEAN EUPHONIA
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APAPANE
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APOSTLEBIRD
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ARARIPE MANAKIN
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ASHY STORM PETREL
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ASHY THRUSHBIRD
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+
ASIAN CRESTED IBIS
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+
ASIAN DOLLARD BIRD
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+
ASIAN GREEN BEE EATER
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+
AUCKLAND SHAQ
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+
AUSTRAL CANASTERO
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| 44 |
+
AUSTRALASIAN FIGBIRD
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AVADAVAT
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| 46 |
+
AZARAS SPINETAIL
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+
AZURE BREASTED PITTA
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| 48 |
+
AZURE JAY
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| 49 |
+
AZURE TANAGER
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+
AZURE TIT
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| 51 |
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BAIKAL TEAL
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BALD EAGLE
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| 53 |
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BALD IBIS
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BALI STARLING
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BALTIMORE ORIOLE
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BANANAQUIT
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BAND TAILED GUAN
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BANDED BROADBILL
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BANDED PITA
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BANDED STILT
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BAR-TAILED GODWIT
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BARN OWL
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BARN SWALLOW
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| 64 |
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BARRED PUFFBIRD
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| 65 |
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BARROWS GOLDENEYE
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| 66 |
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BAY-BREASTED WARBLER
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| 67 |
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BEARDED BARBET
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| 68 |
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BEARDED BELLBIRD
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| 69 |
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BEARDED REEDLING
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BELTED KINGFISHER
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| 71 |
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BIRD OF PARADISE
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| 72 |
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BLACK AND YELLOW BROADBILL
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BLACK BAZA
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| 74 |
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BLACK COCKATO
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| 75 |
+
BLACK FACED SPOONBILL
|
| 76 |
+
BLACK FRANCOLIN
|
| 77 |
+
BLACK HEADED CAIQUE
|
| 78 |
+
BLACK NECKED STILT
|
| 79 |
+
BLACK SKIMMER
|
| 80 |
+
BLACK SWAN
|
| 81 |
+
BLACK TAIL CRAKE
|
| 82 |
+
BLACK THROATED BUSHTIT
|
| 83 |
+
BLACK THROATED HUET
|
| 84 |
+
BLACK THROATED WARBLER
|
| 85 |
+
BLACK VENTED SHEARWATER
|
| 86 |
+
BLACK VULTURE
|
| 87 |
+
BLACK-CAPPED CHICKADEE
|
| 88 |
+
BLACK-NECKED GREBE
|
| 89 |
+
BLACK-THROATED SPARROW
|
| 90 |
+
BLACKBURNIAM WARBLER
|
| 91 |
+
BLONDE CRESTED WOODPECKER
|
| 92 |
+
BLOOD PHEASANT
|
| 93 |
+
BLUE COAU
|
| 94 |
+
BLUE DACNIS
|
| 95 |
+
BLUE GRAY GNATCATCHER
|
| 96 |
+
BLUE GROSBEAK
|
| 97 |
+
BLUE GROUSE
|
| 98 |
+
BLUE HERON
|
| 99 |
+
BLUE MALKOHA
|
| 100 |
+
BLUE THROATED TOUCANET
|
| 101 |
+
BOBOLINK
|
| 102 |
+
BORNEAN BRISTLEHEAD
|
| 103 |
+
BORNEAN LEAFBIRD
|
| 104 |
+
BORNEAN PHEASANT
|
| 105 |
+
BRANDT CORMARANT
|
| 106 |
+
BREWERS BLACKBIRD
|
| 107 |
+
BROWN CREPPER
|
| 108 |
+
BROWN HEADED COWBIRD
|
| 109 |
+
BROWN NOODY
|
| 110 |
+
BROWN THRASHER
|
| 111 |
+
BUFFLEHEAD
|
| 112 |
+
BULWERS PHEASANT
|
| 113 |
+
BURCHELLS COURSER
|
| 114 |
+
BUSH TURKEY
|
| 115 |
+
CAATINGA CACHOLOTE
|
| 116 |
+
CACTUS WREN
|
| 117 |
+
CALIFORNIA CONDOR
|
| 118 |
+
CALIFORNIA GULL
|
| 119 |
+
CALIFORNIA QUAIL
|
| 120 |
+
CAMPO FLICKER
|
| 121 |
+
CANARY
|
| 122 |
+
CANVASBACK
|
| 123 |
+
CAPE GLOSSY STARLING
|
| 124 |
+
CAPE LONGCLAW
|
| 125 |
+
CAPE MAY WARBLER
|
| 126 |
+
CAPE ROCK THRUSH
|
| 127 |
+
CAPPED HERON
|
| 128 |
+
CAPUCHINBIRD
|
| 129 |
+
CARMINE BEE-EATER
|
| 130 |
+
CASPIAN TERN
|
| 131 |
+
CASSOWARY
|
| 132 |
+
CEDAR WAXWING
|
| 133 |
+
CERULEAN WARBLER
|
| 134 |
+
CHARA DE COLLAR
|
| 135 |
+
CHATTERING LORY
|
| 136 |
+
CHESTNET BELLIED EUPHONIA
|
| 137 |
+
CHINESE BAMBOO PARTRIDGE
|
| 138 |
+
CHINESE POND HERON
|
| 139 |
+
CHIPPING SPARROW
|
| 140 |
+
CHUCAO TAPACULO
|
| 141 |
+
CHUKAR PARTRIDGE
|
| 142 |
+
CINNAMON ATTILA
|
| 143 |
+
CINNAMON FLYCATCHER
|
| 144 |
+
CINNAMON TEAL
|
| 145 |
+
CLARKS GREBE
|
| 146 |
+
CLARKS NUTCRACKER
|
| 147 |
+
COCK OF THE ROCK
|
| 148 |
+
COCKATOO
|
| 149 |
+
COLLARED ARACARI
|
| 150 |
+
COLLARED CRESCENTCHEST
|
| 151 |
+
COMMON FIRECREST
|
| 152 |
+
COMMON GRACKLE
|
| 153 |
+
COMMON HOUSE MARTIN
|
| 154 |
+
COMMON IORA
|
| 155 |
+
COMMON LOON
|
| 156 |
+
COMMON POORWILL
|
| 157 |
+
COMMON STARLING
|
| 158 |
+
COPPERSMITH BARBET
|
| 159 |
+
COPPERY TAILED COUCAL
|
| 160 |
+
CRAB PLOVER
|
| 161 |
+
CRANE HAWK
|
| 162 |
+
CREAM COLORED WOODPECKER
|
| 163 |
+
CRESTED AUKLET
|
| 164 |
+
CRESTED CARACARA
|
| 165 |
+
CRESTED COUA
|
| 166 |
+
CRESTED FIREBACK
|
| 167 |
+
CRESTED KINGFISHER
|
| 168 |
+
CRESTED NUTHATCH
|
| 169 |
+
CRESTED OROPENDOLA
|
| 170 |
+
CRESTED SERPENT EAGLE
|
| 171 |
+
CRESTED SHRIKETIT
|
| 172 |
+
CRESTED WOOD PARTRIDGE
|
| 173 |
+
CRIMSON CHAT
|
| 174 |
+
CRIMSON SUNBIRD
|
| 175 |
+
CROW
|
| 176 |
+
CROWNED PIGEON
|
| 177 |
+
CUBAN TODY
|
| 178 |
+
CUBAN TROGON
|
| 179 |
+
CURL CRESTED ARACURI
|
| 180 |
+
D-ARNAUDS BARBET
|
| 181 |
+
DALMATIAN PELICAN
|
| 182 |
+
DARJEELING WOODPECKER
|
| 183 |
+
DARK EYED JUNCO
|
| 184 |
+
DAURIAN REDSTART
|
| 185 |
+
DEMOISELLE CRANE
|
| 186 |
+
DOUBLE BARRED FINCH
|
| 187 |
+
DOUBLE BRESTED CORMARANT
|
| 188 |
+
DOUBLE EYED FIG PARROT
|
| 189 |
+
DOWNY WOODPECKER
|
| 190 |
+
DUSKY LORY
|
| 191 |
+
DUSKY ROBIN
|
| 192 |
+
EARED PITA
|
| 193 |
+
EASTERN BLUEBIRD
|
| 194 |
+
EASTERN BLUEBONNET
|
| 195 |
+
EASTERN GOLDEN WEAVER
|
| 196 |
+
EASTERN MEADOWLARK
|
| 197 |
+
EASTERN ROSELLA
|
| 198 |
+
EASTERN TOWEE
|
| 199 |
+
EASTERN WIP POOR WILL
|
| 200 |
+
EASTERN YELLOW ROBIN
|
| 201 |
+
ECUADORIAN HILLSTAR
|
| 202 |
+
EGYPTIAN GOOSE
|
| 203 |
+
ELEGANT TROGON
|
| 204 |
+
ELLIOTS PHEASANT
|
| 205 |
+
EMERALD TANAGER
|
| 206 |
+
EMPEROR PENGUIN
|
| 207 |
+
EMU
|
| 208 |
+
ENGGANO MYNA
|
| 209 |
+
EURASIAN BULLFINCH
|
| 210 |
+
EURASIAN GOLDEN ORIOLE
|
| 211 |
+
EURASIAN MAGPIE
|
| 212 |
+
EUROPEAN GOLDFINCH
|
| 213 |
+
EUROPEAN TURTLE DOVE
|
| 214 |
+
EVENING GROSBEAK
|
| 215 |
+
FAIRY BLUEBIRD
|
| 216 |
+
FAIRY PENGUIN
|
| 217 |
+
FAIRY TERN
|
| 218 |
+
FAN TAILED WIDOW
|
| 219 |
+
FASCIATED WREN
|
| 220 |
+
FIERY MINIVET
|
| 221 |
+
FIORDLAND PENGUIN
|
| 222 |
+
FIRE TAILLED MYZORNIS
|
| 223 |
+
FLAME BOWERBIRD
|
| 224 |
+
FLAME TANAGER
|
| 225 |
+
FOREST WAGTAIL
|
| 226 |
+
FRIGATE
|
| 227 |
+
FRILL BACK PIGEON
|
| 228 |
+
GAMBELS QUAIL
|
| 229 |
+
GANG GANG COCKATOO
|
| 230 |
+
GILA WOODPECKER
|
| 231 |
+
GILDED FLICKER
|
| 232 |
+
GLOSSY IBIS
|
| 233 |
+
GO AWAY BIRD
|
| 234 |
+
GOLD WING WARBLER
|
| 235 |
+
GOLDEN BOWER BIRD
|
| 236 |
+
GOLDEN CHEEKED WARBLER
|
| 237 |
+
GOLDEN CHLOROPHONIA
|
| 238 |
+
GOLDEN EAGLE
|
| 239 |
+
GOLDEN PARAKEET
|
| 240 |
+
GOLDEN PHEASANT
|
| 241 |
+
GOLDEN PIPIT
|
| 242 |
+
GOULDIAN FINCH
|
| 243 |
+
GRANDALA
|
| 244 |
+
GRAY CATBIRD
|
| 245 |
+
GRAY KINGBIRD
|
| 246 |
+
GRAY PARTRIDGE
|
| 247 |
+
GREAT ARGUS
|
| 248 |
+
GREAT GRAY OWL
|
| 249 |
+
GREAT JACAMAR
|
| 250 |
+
GREAT KISKADEE
|
| 251 |
+
GREAT POTOO
|
| 252 |
+
GREAT TINAMOU
|
| 253 |
+
GREAT XENOPS
|
| 254 |
+
GREATER PEWEE
|
| 255 |
+
GREATER PRAIRIE CHICKEN
|
| 256 |
+
GREATOR SAGE GROUSE
|
| 257 |
+
GREEN BROADBILL
|
| 258 |
+
GREEN JAY
|
| 259 |
+
GREEN MAGPIE
|
| 260 |
+
GREEN WINGED DOVE
|
| 261 |
+
GREY CUCKOOSHRIKE
|
| 262 |
+
GREY HEADED FISH EAGLE
|
| 263 |
+
GREY PLOVER
|
| 264 |
+
GROVED BILLED ANI
|
| 265 |
+
GUINEA TURACO
|
| 266 |
+
GUINEAFOWL
|
| 267 |
+
GURNEYS PITTA
|
| 268 |
+
GYRFALCON
|
| 269 |
+
HAMERKOP
|
| 270 |
+
HARLEQUIN DUCK
|
| 271 |
+
HARLEQUIN QUAIL
|
| 272 |
+
HARPY EAGLE
|
| 273 |
+
HAWAIIAN GOOSE
|
| 274 |
+
HAWFINCH
|
| 275 |
+
HELMET VANGA
|
| 276 |
+
HEPATIC TANAGER
|
| 277 |
+
HIMALAYAN BLUETAIL
|
| 278 |
+
HIMALAYAN MONAL
|
| 279 |
+
HOATZIN
|
| 280 |
+
HOODED MERGANSER
|
| 281 |
+
HOOPOES
|
| 282 |
+
HORNED GUAN
|
| 283 |
+
HORNED LARK
|
| 284 |
+
HORNED SUNGEM
|
| 285 |
+
HOUSE FINCH
|
| 286 |
+
HOUSE SPARROW
|
| 287 |
+
HYACINTH MACAW
|
| 288 |
+
IBERIAN MAGPIE
|
| 289 |
+
IBISBILL
|
| 290 |
+
IMPERIAL SHAQ
|
| 291 |
+
INCA TERN
|
| 292 |
+
INDIAN BUSTARD
|
| 293 |
+
INDIAN PITTA
|
| 294 |
+
INDIAN ROLLER
|
| 295 |
+
INDIAN VULTURE
|
| 296 |
+
INDIGO BUNTING
|
| 297 |
+
INDIGO FLYCATCHER
|
| 298 |
+
INLAND DOTTEREL
|
| 299 |
+
IVORY BILLED ARACARI
|
| 300 |
+
IVORY GULL
|
| 301 |
+
IWI
|
| 302 |
+
JABIRU
|
| 303 |
+
JACK SNIPE
|
| 304 |
+
JACOBIN PIGEON
|
| 305 |
+
JANDAYA PARAKEET
|
| 306 |
+
JAPANESE ROBIN
|
| 307 |
+
JAVA SPARROW
|
| 308 |
+
JOCOTOCO ANTPITTA
|
| 309 |
+
KAGU
|
| 310 |
+
KAKAPO
|
| 311 |
+
KILLDEAR
|
| 312 |
+
KING EIDER
|
| 313 |
+
KING VULTURE
|
| 314 |
+
KIWI
|
| 315 |
+
KOOKABURRA
|
| 316 |
+
LARK BUNTING
|
| 317 |
+
LAUGHING GULL
|
| 318 |
+
LAZULI BUNTING
|
| 319 |
+
LESSER ADJUTANT
|
| 320 |
+
LILAC ROLLER
|
| 321 |
+
LIMPKIN
|
| 322 |
+
LITTLE AUK
|
| 323 |
+
LOGGERHEAD SHRIKE
|
| 324 |
+
LONG-EARED OWL
|
| 325 |
+
LOONEY BIRDS
|
| 326 |
+
LUCIFER HUMMINGBIRD
|
| 327 |
+
MAGPIE GOOSE
|
| 328 |
+
MALABAR HORNBILL
|
| 329 |
+
MALACHITE KINGFISHER
|
| 330 |
+
MALAGASY WHITE EYE
|
| 331 |
+
MALEO
|
| 332 |
+
MALLARD DUCK
|
| 333 |
+
MANDRIN DUCK
|
| 334 |
+
MANGROVE CUCKOO
|
| 335 |
+
MARABOU STORK
|
| 336 |
+
MASKED BOBWHITE
|
| 337 |
+
MASKED BOOBY
|
| 338 |
+
MASKED LAPWING
|
| 339 |
+
MCKAYS BUNTING
|
| 340 |
+
MERLIN
|
| 341 |
+
MIKADO PHEASANT
|
| 342 |
+
MILITARY MACAW
|
| 343 |
+
MOURNING DOVE
|
| 344 |
+
MYNA
|
| 345 |
+
NICOBAR PIGEON
|
| 346 |
+
NOISY FRIARBIRD
|
| 347 |
+
NORTHERN BEARDLESS TYRANNULET
|
| 348 |
+
NORTHERN CARDINAL
|
| 349 |
+
NORTHERN FLICKER
|
| 350 |
+
NORTHERN FULMAR
|
| 351 |
+
NORTHERN GANNET
|
| 352 |
+
NORTHERN GOSHAWK
|
| 353 |
+
NORTHERN JACANA
|
| 354 |
+
NORTHERN MOCKINGBIRD
|
| 355 |
+
NORTHERN PARULA
|
| 356 |
+
NORTHERN RED BISHOP
|
| 357 |
+
NORTHERN SHOVELER
|
| 358 |
+
OCELLATED TURKEY
|
| 359 |
+
OKINAWA RAIL
|
| 360 |
+
ORANGE BRESTED BUNTING
|
| 361 |
+
ORIENTAL BAY OWL
|
| 362 |
+
ORNATE HAWK EAGLE
|
| 363 |
+
OSPREY
|
| 364 |
+
OSTRICH
|
| 365 |
+
OVENBIRD
|
| 366 |
+
OYSTER CATCHER
|
| 367 |
+
PAINTED BUNTING
|
| 368 |
+
PALILA
|
| 369 |
+
PALM NUT VULTURE
|
| 370 |
+
PARADISE TANAGER
|
| 371 |
+
PARAKETT AKULET
|
| 372 |
+
PARUS MAJOR
|
| 373 |
+
PATAGONIAN SIERRA FINCH
|
| 374 |
+
PEACOCK
|
| 375 |
+
PEREGRINE FALCON
|
| 376 |
+
PHAINOPEPLA
|
| 377 |
+
PHILIPPINE EAGLE
|
| 378 |
+
PINK ROBIN
|
| 379 |
+
PLUSH CRESTED JAY
|
| 380 |
+
POMARINE JAEGER
|
| 381 |
+
PUFFIN
|
| 382 |
+
PUNA TEAL
|
| 383 |
+
PURPLE FINCH
|
| 384 |
+
PURPLE GALLINULE
|
| 385 |
+
PURPLE MARTIN
|
| 386 |
+
PURPLE SWAMPHEN
|
| 387 |
+
PYGMY KINGFISHER
|
| 388 |
+
PYRRHULOXIA
|
| 389 |
+
QUETZAL
|
| 390 |
+
RAINBOW LORIKEET
|
| 391 |
+
RAZORBILL
|
| 392 |
+
RED BEARDED BEE EATER
|
| 393 |
+
RED BELLIED PITTA
|
| 394 |
+
RED BILLED TROPICBIRD
|
| 395 |
+
RED BROWED FINCH
|
| 396 |
+
RED FACED CORMORANT
|
| 397 |
+
RED FACED WARBLER
|
| 398 |
+
RED FODY
|
| 399 |
+
RED HEADED DUCK
|
| 400 |
+
RED HEADED WOODPECKER
|
| 401 |
+
RED KNOT
|
| 402 |
+
RED LEGGED HONEYCREEPER
|
| 403 |
+
RED NAPED TROGON
|
| 404 |
+
RED SHOULDERED HAWK
|
| 405 |
+
RED TAILED HAWK
|
| 406 |
+
RED TAILED THRUSH
|
| 407 |
+
RED WINGED BLACKBIRD
|
| 408 |
+
RED WISKERED BULBUL
|
| 409 |
+
REGENT BOWERBIRD
|
| 410 |
+
RING-NECKED PHEASANT
|
| 411 |
+
ROADRUNNER
|
| 412 |
+
ROCK DOVE
|
| 413 |
+
ROSE BREASTED COCKATOO
|
| 414 |
+
ROSE BREASTED GROSBEAK
|
| 415 |
+
ROSEATE SPOONBILL
|
| 416 |
+
ROSY FACED LOVEBIRD
|
| 417 |
+
ROUGH LEG BUZZARD
|
| 418 |
+
ROYAL FLYCATCHER
|
| 419 |
+
RUBY CROWNED KINGLET
|
| 420 |
+
RUBY THROATED HUMMINGBIRD
|
| 421 |
+
RUDDY SHELDUCK
|
| 422 |
+
RUDY KINGFISHER
|
| 423 |
+
RUFOUS KINGFISHER
|
| 424 |
+
RUFOUS TREPE
|
| 425 |
+
RUFUOS MOTMOT
|
| 426 |
+
SAMATRAN THRUSH
|
| 427 |
+
SAND MARTIN
|
| 428 |
+
SANDHILL CRANE
|
| 429 |
+
SATYR TRAGOPAN
|
| 430 |
+
SAYS PHOEBE
|
| 431 |
+
SCARLET CROWNED FRUIT DOVE
|
| 432 |
+
SCARLET FACED LIOCICHLA
|
| 433 |
+
SCARLET IBIS
|
| 434 |
+
SCARLET MACAW
|
| 435 |
+
SCARLET TANAGER
|
| 436 |
+
SHOEBILL
|
| 437 |
+
SHORT BILLED DOWITCHER
|
| 438 |
+
SMITHS LONGSPUR
|
| 439 |
+
SNOW GOOSE
|
| 440 |
+
SNOWY EGRET
|
| 441 |
+
SNOWY OWL
|
| 442 |
+
SNOWY PLOVER
|
| 443 |
+
SORA
|
| 444 |
+
SPANGLED COTINGA
|
| 445 |
+
SPLENDID WREN
|
| 446 |
+
SPOON BILED SANDPIPER
|
| 447 |
+
SPOTTED CATBIRD
|
| 448 |
+
SPOTTED WHISTLING DUCK
|
| 449 |
+
SQUACCO HERON
|
| 450 |
+
SRI LANKA BLUE MAGPIE
|
| 451 |
+
STEAMER DUCK
|
| 452 |
+
STORK BILLED KINGFISHER
|
| 453 |
+
STRIATED CARACARA
|
| 454 |
+
STRIPED OWL
|
| 455 |
+
STRIPPED MANAKIN
|
| 456 |
+
STRIPPED SWALLOW
|
| 457 |
+
SUNBITTERN
|
| 458 |
+
SUPERB STARLING
|
| 459 |
+
SURF SCOTER
|
| 460 |
+
SWINHOES PHEASANT
|
| 461 |
+
TAILORBIRD
|
| 462 |
+
TAIWAN MAGPIE
|
| 463 |
+
TAKAHE
|
| 464 |
+
TASMANIAN HEN
|
| 465 |
+
TAWNY FROGMOUTH
|
| 466 |
+
TEAL DUCK
|
| 467 |
+
TIT MOUSE
|
| 468 |
+
TOUCHAN
|
| 469 |
+
TOWNSENDS WARBLER
|
| 470 |
+
TREE SWALLOW
|
| 471 |
+
TRICOLORED BLACKBIRD
|
| 472 |
+
TROPICAL KINGBIRD
|
| 473 |
+
TRUMPTER SWAN
|
| 474 |
+
TURKEY VULTURE
|
| 475 |
+
TURQUOISE MOTMOT
|
| 476 |
+
UMBRELLA BIRD
|
| 477 |
+
VARIED THRUSH
|
| 478 |
+
VEERY
|
| 479 |
+
VENEZUELIAN TROUPIAL
|
| 480 |
+
VERDIN
|
| 481 |
+
VERMILION FLYCATHER
|
| 482 |
+
VICTORIA CROWNED PIGEON
|
| 483 |
+
VIOLET BACKED STARLING
|
| 484 |
+
VIOLET GREEN SWALLOW
|
| 485 |
+
VIOLET TURACO
|
| 486 |
+
VISAYAN HORNBILL
|
| 487 |
+
VULTURINE GUINEAFOWL
|
| 488 |
+
WALL CREAPER
|
| 489 |
+
WATTLED CURASSOW
|
| 490 |
+
WATTLED LAPWING
|
| 491 |
+
WHIMBREL
|
| 492 |
+
WHITE BREASTED WATERHEN
|
| 493 |
+
WHITE BROWED CRAKE
|
| 494 |
+
WHITE CHEEKED TURACO
|
| 495 |
+
WHITE CRESTED HORNBILL
|
| 496 |
+
WHITE EARED HUMMINGBIRD
|
| 497 |
+
WHITE NECKED RAVEN
|
| 498 |
+
WHITE TAILED TROPIC
|
| 499 |
+
WHITE THROATED BEE EATER
|
| 500 |
+
WILD TURKEY
|
| 501 |
+
WILLOW PTARMIGAN
|
| 502 |
+
WILSONS BIRD OF PARADISE
|
| 503 |
+
WOOD DUCK
|
| 504 |
+
WOOD THRUSH
|
| 505 |
+
WOODLAND KINGFISHER
|
| 506 |
+
WRENTIT
|
| 507 |
+
YELLOW BELLIED FLOWERPECKER
|
| 508 |
+
YELLOW CACIQUE
|
| 509 |
+
YELLOW HEADED BLACKBIRD
|
| 510 |
+
ZEBRA DOVE
|
examples/1.jpg
ADDED
|
examples/2.jpg
ADDED
|
examples/3.jpg
ADDED
|
examples/5.jpg
ADDED
|
model.py
ADDED
|
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|
| 1 |
+
|
| 2 |
+
import torch
|
| 3 |
+
import torchvision
|
| 4 |
+
|
| 5 |
+
from torch import nn
|
| 6 |
+
|
| 7 |
+
def create_vit_b16(num_classes: int):
|
| 8 |
+
"""
|
| 9 |
+
Creates a ViT model and return the model with its transforms
|
| 10 |
+
"""
|
| 11 |
+
|
| 12 |
+
vit_weights = torchvision.models.ViT_B_16_Weights.DEFAULT
|
| 13 |
+
|
| 14 |
+
vit_b16_model = torchvision.models.vit_b_16(weights=vit_weights)
|
| 15 |
+
|
| 16 |
+
vit_transforms = vit_weights.transforms()
|
| 17 |
+
|
| 18 |
+
# freeze all the layers
|
| 19 |
+
for param in vit_b16_model.parameters():
|
| 20 |
+
param.requires_grad = False
|
| 21 |
+
|
| 22 |
+
# changing the head
|
| 23 |
+
vit_b16_model.heads = nn.Sequential(
|
| 24 |
+
nn.Linear(in_features=768, out_features=num_classes)
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
return vit_b16_model, vit_transforms
|
requirements.txt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
| 1 |
+
torch==1.13.1
|
| 2 |
+
torchvision==0.14.1
|
| 3 |
+
gradio==3.23.0
|