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Parent(s):
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first commit
Browse files- app.py +28 -0
- effnetb2_pizza_steak_sushi (1).pt +3 -0
- examples/289822.jpg +0 -0
- examples/2901001.jpg +0 -0
- examples/796922.jpg +0 -0
- model.py +13 -0
- requirements.txt +369 -0
app.py
ADDED
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import gradio as gr
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import os
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import torch
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from model import create_model
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from timeit import default_timer as Timer
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class_names=["Pizza","Steak","Sushi"]
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effnetb2,effnetb2_transform=create_model(num_class=3)
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effnetb2.load_state_dict(torch.load(f="demos\foodvision_mini\effnetb2_pizza_steak_sushi (1).pt",map_location=torch.device('cpu')))
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def predict(img):
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start_time=timer()
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img=effnetb2_transform(img).unsqueeze(0)
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effnetb2.eval()
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with torch.inference_mode():
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predict_logit=effnetb2(img)
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predict_prob=torch.softmax(predict_logit,dim=1)
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predict_label=torch.argmax(predict_prob,dim=1)
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pred_label_prob={class_names[i]:float(predict_prob[0][i]) for i in range(len(class_names))}
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end_time=timer()
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pred_time=round(end_time-start_time,4)
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return pred_label_prob,pred_time
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title="Food Vision Mini 🍕🥩🍣"
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description="An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi."
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example_list=[['examples/'+example] for example in os.listdir("examples")]
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demo=gr.Interface(fn=predict,inputs=gr.Image(type="pil"),outputs=[gr.Label(num_top_classes=3,label="Prediction"),gr.Number(label="Prediction time")],examples=example_list,title=title,description=description)
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demo.launch()
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effnetb2_pizza_steak_sushi (1).pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee17107d6aa14ae47b961ab7b51e0a0a9c9ba04b5e35bf2fa546cca1d15677b5
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size 31284026
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examples/289822.jpg
ADDED
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examples/2901001.jpg
ADDED
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examples/796922.jpg
ADDED
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model.py
ADDED
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import torch
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import torchvision
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from torchvision import transforms
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from torch import nn
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def create_model(num_class:int=3,seed:int=42):
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weights=torchvision.models.EfficientNet_B2_Weights.DEFAULT
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transform=weights.transforms()
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model=torchvision.models.efficientnet_b2(weights=weights)
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for params in model.parameters():
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params.requires_grad=False
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torch.manual_seed(seed)
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model.classifier=nn.Sequential(nn.Dropout(p=0.3, inplace=True),nn.Linear(in_features=1408, out_features=num_class, bias=True))
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return model,transform
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requirements.txt
ADDED
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| 1 |
+
absl-py==2.1.0
|
| 2 |
+
aiobotocore==2.20.0
|
| 3 |
+
aiofiles==24.1.0
|
| 4 |
+
aiohappyeyeballs==2.4.6
|
| 5 |
+
aiohttp==3.11.13
|
| 6 |
+
aioitertools==0.12.0
|
| 7 |
+
aiosignal==1.3.2
|
| 8 |
+
altair==5.4.1
|
| 9 |
+
anndata==0.11.3
|
| 10 |
+
annotated-types==0.7.0
|
| 11 |
+
anyio==4.6.2.post1
|
| 12 |
+
argon2-cffi==23.1.0
|
| 13 |
+
argon2-cffi-bindings==21.2.0
|
| 14 |
+
array_api_compat==1.11
|
| 15 |
+
arrow==1.3.0
|
| 16 |
+
asciitree==0.3.3
|
| 17 |
+
asttokens==2.4.1
|
| 18 |
+
astunparse==1.6.3
|
| 19 |
+
async-lru==2.0.4
|
| 20 |
+
attrs==24.2.0
|
| 21 |
+
babel==2.16.0
|
| 22 |
+
backports.tarfile==1.2.0
|
| 23 |
+
beautifulsoup4==4.12.3
|
| 24 |
+
bleach==6.1.0
|
| 25 |
+
blinker==1.8.2
|
| 26 |
+
blis==1.2.0
|
| 27 |
+
botocore==1.36.23
|
| 28 |
+
cachetools==5.5.0
|
| 29 |
+
catalogue==2.0.10
|
| 30 |
+
certifi==2024.8.30
|
| 31 |
+
cffi==1.17.1
|
| 32 |
+
charset-normalizer==3.4.0
|
| 33 |
+
click==8.1.7
|
| 34 |
+
cloudpathlib==0.20.0
|
| 35 |
+
cloudpickle==3.1.1
|
| 36 |
+
colorama==0.4.6
|
| 37 |
+
colorcet==3.1.0
|
| 38 |
+
coloredlogs==15.0.1
|
| 39 |
+
comm==0.2.2
|
| 40 |
+
confection==0.1.5
|
| 41 |
+
contourpy==1.3.1
|
| 42 |
+
cycler==0.12.1
|
| 43 |
+
cymem==2.0.11
|
| 44 |
+
dask==2024.11.2
|
| 45 |
+
dask-expr==1.1.19
|
| 46 |
+
dask-image==2024.5.3
|
| 47 |
+
dataclasses-json==0.6.7
|
| 48 |
+
datashader==0.17.0
|
| 49 |
+
debugpy==1.8.7
|
| 50 |
+
decorator==5.1.1
|
| 51 |
+
defusedxml==0.7.1
|
| 52 |
+
Deprecated==1.2.18
|
| 53 |
+
distributed==2024.11.2
|
| 54 |
+
distro==1.9.0
|
| 55 |
+
dlib==19.24.6
|
| 56 |
+
docutils==0.21.2
|
| 57 |
+
en_core_web_md @ https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.8.0/en_core_web_md-3.8.0-py3-none-any.whl#sha256=5e6329fe3fecedb1d1a02c3ea2172ee0fede6cea6e4aefb6a02d832dba78a310
|
| 58 |
+
executing==2.1.0
|
| 59 |
+
face-recognition==1.3.0
|
| 60 |
+
face-recognition-models==0.3.0
|
| 61 |
+
fastapi==0.115.12
|
| 62 |
+
fasteners==0.19
|
| 63 |
+
fastjsonschema==2.20.0
|
| 64 |
+
ffmpy==0.5.0
|
| 65 |
+
filelock==3.18.0
|
| 66 |
+
Flask==3.0.3
|
| 67 |
+
Flask-Cors==5.0.0
|
| 68 |
+
flatbuffers==25.1.24
|
| 69 |
+
fonttools==4.55.3
|
| 70 |
+
fqdn==1.5.1
|
| 71 |
+
frozenlist==1.5.0
|
| 72 |
+
fsspec==2025.2.0
|
| 73 |
+
gast==0.6.0
|
| 74 |
+
geopandas==1.0.1
|
| 75 |
+
gitdb==4.0.11
|
| 76 |
+
GitPython==3.1.43
|
| 77 |
+
google-ai-generativelanguage==0.6.15
|
| 78 |
+
google-api-core==2.24.1
|
| 79 |
+
google-api-python-client==2.162.0
|
| 80 |
+
google-auth==2.38.0
|
| 81 |
+
google-auth-httplib2==0.2.0
|
| 82 |
+
google-generativeai==0.8.4
|
| 83 |
+
google-pasta==0.2.0
|
| 84 |
+
googleapis-common-protos==1.68.0
|
| 85 |
+
gradio==5.26.0
|
| 86 |
+
gradio_client==1.9.0
|
| 87 |
+
greenlet==3.1.1
|
| 88 |
+
groovy==0.1.2
|
| 89 |
+
grpcio==1.71.0rc2
|
| 90 |
+
grpcio-status==1.71.0rc2
|
| 91 |
+
h11==0.14.0
|
| 92 |
+
h5py==3.12.1
|
| 93 |
+
httpcore==1.0.6
|
| 94 |
+
httplib2==0.22.0
|
| 95 |
+
httpx==0.27.2
|
| 96 |
+
httpx-sse==0.4.0
|
| 97 |
+
huggingface-hub==0.30.1
|
| 98 |
+
humanfriendly==10.0
|
| 99 |
+
id==1.5.0
|
| 100 |
+
idna==3.10
|
| 101 |
+
imageio==2.37.0
|
| 102 |
+
imbalanced-learn==0.13.0
|
| 103 |
+
imblearn==0.0
|
| 104 |
+
importlib_metadata==8.6.1
|
| 105 |
+
ipykernel==6.29.5
|
| 106 |
+
ipython==8.28.0
|
| 107 |
+
ipywidgets==8.1.5
|
| 108 |
+
isoduration==20.11.0
|
| 109 |
+
itsdangerous==2.2.0
|
| 110 |
+
jaraco.classes==3.4.0
|
| 111 |
+
jaraco.context==6.0.1
|
| 112 |
+
jaraco.functools==4.1.0
|
| 113 |
+
jax==0.5.0
|
| 114 |
+
jaxlib==0.5.0
|
| 115 |
+
jedi==0.19.1
|
| 116 |
+
Jinja2==3.1.4
|
| 117 |
+
jiter==0.9.0
|
| 118 |
+
jmespath==1.0.1
|
| 119 |
+
joblib==1.4.2
|
| 120 |
+
json5==0.9.25
|
| 121 |
+
jsonpatch==1.33
|
| 122 |
+
jsonpointer==3.0.0
|
| 123 |
+
jsonschema==4.23.0
|
| 124 |
+
jsonschema-specifications==2024.10.1
|
| 125 |
+
jupyter==1.1.1
|
| 126 |
+
jupyter-console==6.6.3
|
| 127 |
+
jupyter-events==0.10.0
|
| 128 |
+
jupyter-lsp==2.2.5
|
| 129 |
+
jupyter_client==8.6.3
|
| 130 |
+
jupyter_core==5.7.2
|
| 131 |
+
jupyter_server==2.14.2
|
| 132 |
+
jupyter_server_terminals==0.5.3
|
| 133 |
+
jupyterlab==4.2.5
|
| 134 |
+
jupyterlab_pygments==0.3.0
|
| 135 |
+
jupyterlab_server==2.27.3
|
| 136 |
+
jupyterlab_widgets==3.0.13
|
| 137 |
+
keras==3.8.0
|
| 138 |
+
keyring==25.6.0
|
| 139 |
+
kiwisolver==1.4.8
|
| 140 |
+
langchain==0.3.23
|
| 141 |
+
langchain-community==0.3.21
|
| 142 |
+
langchain-core==0.3.51
|
| 143 |
+
langchain-openai==0.3.12
|
| 144 |
+
langchain-text-splitters==0.3.8
|
| 145 |
+
langcodes==3.5.0
|
| 146 |
+
langgraph==0.3.28
|
| 147 |
+
langgraph-checkpoint==2.0.24
|
| 148 |
+
langgraph-prebuilt==0.1.8
|
| 149 |
+
langgraph-sdk==0.1.61
|
| 150 |
+
langsmith==0.3.30
|
| 151 |
+
language_data==1.3.0
|
| 152 |
+
lazy_loader==0.4
|
| 153 |
+
libclang==18.1.1
|
| 154 |
+
lightning-utilities==0.14.2
|
| 155 |
+
llvmlite==0.44.0
|
| 156 |
+
locket==1.0.0
|
| 157 |
+
marisa-trie==1.2.1
|
| 158 |
+
Markdown==3.7
|
| 159 |
+
markdown-it-py==3.0.0
|
| 160 |
+
MarkupSafe==3.0.1
|
| 161 |
+
marshmallow==3.26.1
|
| 162 |
+
matplot==0.1.9
|
| 163 |
+
matplotlib==3.10.0
|
| 164 |
+
matplotlib-inline==0.1.7
|
| 165 |
+
mdurl==0.1.2
|
| 166 |
+
mediapipe==0.10.21
|
| 167 |
+
mistune==3.0.2
|
| 168 |
+
ml-dtypes==0.4.1
|
| 169 |
+
monai==1.4.0
|
| 170 |
+
more-itertools==10.7.0
|
| 171 |
+
MouseInfo==0.1.3
|
| 172 |
+
mpmath==1.3.0
|
| 173 |
+
msgpack==1.1.0
|
| 174 |
+
multidict==6.1.0
|
| 175 |
+
multipledispatch==1.0.0
|
| 176 |
+
multiscale_spatial_image==2.0.2
|
| 177 |
+
murmurhash==1.0.12
|
| 178 |
+
mypy-extensions==1.0.0
|
| 179 |
+
mysql-connector-python==9.1.0
|
| 180 |
+
namex==0.0.8
|
| 181 |
+
narwhals==1.9.4
|
| 182 |
+
natsort==8.4.0
|
| 183 |
+
nbclient==0.10.0
|
| 184 |
+
nbconvert==7.16.4
|
| 185 |
+
nbformat==5.10.4
|
| 186 |
+
nest-asyncio==1.6.0
|
| 187 |
+
networkx==3.4.2
|
| 188 |
+
nh3==0.2.21
|
| 189 |
+
nltk==3.9.1
|
| 190 |
+
notebook==7.2.2
|
| 191 |
+
notebook_shim==0.2.4
|
| 192 |
+
numba==0.61.0
|
| 193 |
+
numcodecs==0.15.1
|
| 194 |
+
numpy==1.26.4
|
| 195 |
+
ome-zarr==0.10.3
|
| 196 |
+
onnx==1.17.0
|
| 197 |
+
onnxruntime==1.21.1
|
| 198 |
+
onnxscript==0.2.4
|
| 199 |
+
openai==1.72.0
|
| 200 |
+
opencv-contrib-python==4.11.0.86
|
| 201 |
+
opencv-python==4.11.0.86
|
| 202 |
+
opt_einsum==3.4.0
|
| 203 |
+
optree==0.14.0
|
| 204 |
+
orjson==3.10.16
|
| 205 |
+
ormsgpack==1.9.1
|
| 206 |
+
overrides==7.7.0
|
| 207 |
+
packaging==24.1
|
| 208 |
+
pandas==2.2.3
|
| 209 |
+
pandocfilters==1.5.1
|
| 210 |
+
param==2.2.0
|
| 211 |
+
parso==0.8.4
|
| 212 |
+
partd==1.4.2
|
| 213 |
+
pillow==10.4.0
|
| 214 |
+
PIMS==0.7
|
| 215 |
+
platformdirs==4.3.6
|
| 216 |
+
pooch==1.8.2
|
| 217 |
+
preshed==3.0.9
|
| 218 |
+
prometheus_client==0.21.0
|
| 219 |
+
prompt_toolkit==3.0.48
|
| 220 |
+
propcache==0.3.0
|
| 221 |
+
proto-plus==1.26.0
|
| 222 |
+
protobuf==5.29.3
|
| 223 |
+
psutil==6.1.0
|
| 224 |
+
pure_eval==0.2.3
|
| 225 |
+
pyarrow==17.0.0
|
| 226 |
+
pyasn1==0.6.1
|
| 227 |
+
pyasn1_modules==0.4.1
|
| 228 |
+
PyAutoGUI==0.9.54
|
| 229 |
+
pycparser==2.22
|
| 230 |
+
pyct==0.5.0
|
| 231 |
+
pydantic==2.10.6
|
| 232 |
+
pydantic-settings==2.8.1
|
| 233 |
+
pydantic_core==2.27.2
|
| 234 |
+
pydeck==0.9.1
|
| 235 |
+
pydub==0.25.1
|
| 236 |
+
PyGetWindow==0.0.9
|
| 237 |
+
Pygments==2.18.0
|
| 238 |
+
pyloco==0.0.139
|
| 239 |
+
PyMsgBox==1.0.9
|
| 240 |
+
pynput==1.7.7
|
| 241 |
+
pyogrio==0.10.0
|
| 242 |
+
pyopencl==2025.1
|
| 243 |
+
pyparsing==3.2.0
|
| 244 |
+
pypdf==5.4.0
|
| 245 |
+
pyperclip==1.9.0
|
| 246 |
+
pyproj==3.7.1
|
| 247 |
+
pyreadline3==3.5.4
|
| 248 |
+
PyRect==0.2.0
|
| 249 |
+
PyScreeze==1.0.1
|
| 250 |
+
pytesseract==0.3.13
|
| 251 |
+
python-dateutil==2.9.0.post0
|
| 252 |
+
python-dotenv==1.1.0
|
| 253 |
+
python-json-logger==2.0.7
|
| 254 |
+
python-multipart==0.0.20
|
| 255 |
+
pytools==2025.1.2
|
| 256 |
+
pytweening==1.2.0
|
| 257 |
+
pytz==2024.2
|
| 258 |
+
pywin32==308
|
| 259 |
+
pywin32-ctypes==0.2.3
|
| 260 |
+
pywinpty==2.0.14
|
| 261 |
+
PyYAML==6.0.2
|
| 262 |
+
pyzmq==26.2.0
|
| 263 |
+
readme_renderer==44.0
|
| 264 |
+
redis==5.1.1
|
| 265 |
+
referencing==0.35.1
|
| 266 |
+
regex==2024.9.11
|
| 267 |
+
requests==2.32.3
|
| 268 |
+
requests-toolbelt==1.0.0
|
| 269 |
+
rfc3339-validator==0.1.4
|
| 270 |
+
rfc3986==2.0.0
|
| 271 |
+
rfc3986-validator==0.1.1
|
| 272 |
+
rich==13.9.2
|
| 273 |
+
rpds-py==0.20.0
|
| 274 |
+
rsa==4.9
|
| 275 |
+
ruff==0.11.7
|
| 276 |
+
s3fs==2025.2.0
|
| 277 |
+
safehttpx==0.1.6
|
| 278 |
+
safetensors==0.5.3
|
| 279 |
+
scikit-image==0.25.2
|
| 280 |
+
scikit-learn==1.5.2
|
| 281 |
+
scipy==1.14.1
|
| 282 |
+
seaborn==0.13.2
|
| 283 |
+
semantic-version==2.10.0
|
| 284 |
+
Send2Trash==1.8.3
|
| 285 |
+
sentencepiece==0.2.0
|
| 286 |
+
shapely==2.0.7
|
| 287 |
+
shellingham==1.5.4
|
| 288 |
+
SimpleWebSocketServer==0.1.2
|
| 289 |
+
six==1.16.0
|
| 290 |
+
sklearn-compat==0.1.3
|
| 291 |
+
slicerator==1.1.0
|
| 292 |
+
smart-open==7.1.0
|
| 293 |
+
smmap==5.0.1
|
| 294 |
+
sniffio==1.3.1
|
| 295 |
+
some_library==0.0.1
|
| 296 |
+
sortedcontainers==2.4.0
|
| 297 |
+
sounddevice==0.5.1
|
| 298 |
+
soupsieve==2.6
|
| 299 |
+
spacy==3.8.4
|
| 300 |
+
spacy-legacy==3.0.12
|
| 301 |
+
spacy-loggers==1.0.5
|
| 302 |
+
spatial_image==1.2.1
|
| 303 |
+
spatialdata==0.3.0
|
| 304 |
+
spotipy==2.24.0
|
| 305 |
+
SQLAlchemy==2.0.40
|
| 306 |
+
srsly==2.5.1
|
| 307 |
+
stack-data==0.6.3
|
| 308 |
+
starlette==0.46.2
|
| 309 |
+
streamlit==1.39.0
|
| 310 |
+
sympy==1.13.1
|
| 311 |
+
tblib==3.0.0
|
| 312 |
+
tenacity==9.0.0
|
| 313 |
+
tensorboard==2.18.0
|
| 314 |
+
tensorboard-data-server==0.7.2
|
| 315 |
+
tensorflow==2.18.0
|
| 316 |
+
tensorflow-io-gcs-filesystem==0.31.0
|
| 317 |
+
tensorflow_intel==2.18.0
|
| 318 |
+
termcolor==2.5.0
|
| 319 |
+
terminado==0.18.1
|
| 320 |
+
thinc==8.3.4
|
| 321 |
+
threadpoolctl==3.5.0
|
| 322 |
+
tifffile==2025.2.18
|
| 323 |
+
tiktoken==0.9.0
|
| 324 |
+
tinycss2==1.3.0
|
| 325 |
+
tokenizers==0.21.1
|
| 326 |
+
toml==0.10.2
|
| 327 |
+
tomlkit==0.13.2
|
| 328 |
+
toolz==1.0.0
|
| 329 |
+
torch==2.6.0
|
| 330 |
+
torchinfo==1.8.0
|
| 331 |
+
torchmetrics==1.7.0
|
| 332 |
+
torchvision==0.21.0
|
| 333 |
+
tornado==6.4.1
|
| 334 |
+
tqdm==4.66.5
|
| 335 |
+
traitlets==5.14.3
|
| 336 |
+
transformers==4.50.3
|
| 337 |
+
twine==6.1.0
|
| 338 |
+
typer==0.15.2
|
| 339 |
+
types-python-dateutil==2.9.0.20241003
|
| 340 |
+
typing==3.7.4.3
|
| 341 |
+
typing-inspect==0.9.0
|
| 342 |
+
typing_extensions==4.12.2
|
| 343 |
+
tzdata==2024.2
|
| 344 |
+
uri-template==1.3.0
|
| 345 |
+
uritemplate==4.1.1
|
| 346 |
+
urllib3==2.2.3
|
| 347 |
+
ushlex==0.99.1
|
| 348 |
+
uvicorn==0.34.2
|
| 349 |
+
wasabi==1.1.3
|
| 350 |
+
watchdog==5.0.3
|
| 351 |
+
wcwidth==0.2.13
|
| 352 |
+
weasel==0.4.1
|
| 353 |
+
webcolors==24.8.0
|
| 354 |
+
webencodings==0.5.1
|
| 355 |
+
websocket-client==1.8.0
|
| 356 |
+
websockets==15.0.1
|
| 357 |
+
Werkzeug==3.1.0
|
| 358 |
+
widgetsnbextension==4.0.13
|
| 359 |
+
wrapt==1.17.2
|
| 360 |
+
xarray==2024.11.0
|
| 361 |
+
xarray-dataclasses==1.9.1
|
| 362 |
+
xarray-schema==0.0.3
|
| 363 |
+
xarray-spatial==0.4.0
|
| 364 |
+
xxhash==3.5.0
|
| 365 |
+
yarl==1.18.3
|
| 366 |
+
zarr==2.18.4
|
| 367 |
+
zict==3.0.0
|
| 368 |
+
zipp==3.21.0
|
| 369 |
+
zstandard==0.23.0
|