ICCV2025 / requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
aiofiles==24.1.0
# via gradio
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.1
# via fsspec
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.11.0
# via
# gradio
# httpx
# mcp
# sse-starlette
# starlette
async-timeout==5.0.1
# via aiohttp
attrs==25.4.0
# via
# aiohttp
# jsonschema
# referencing
brotli==1.1.0
# via gradio
certifi==2025.10.5
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.4
# via requests
click==8.3.0
# via
# typer
# uvicorn
datasets==4.2.0
# via iccv2025 (pyproject.toml)
dill==0.4.0
# via
# datasets
# multiprocess
exceptiongroup==1.3.0
# via anyio
faiss-cpu==1.12.0
# via iccv2025 (pyproject.toml)
fastapi==0.119.0
# via gradio
ffmpy==0.6.3
# via gradio
filelock==3.20.0
# via
# datasets
# huggingface-hub
# torch
# transformers
frozenlist==1.8.0
# via
# aiohttp
# aiosignal
fsspec==2025.9.0
# via
# datasets
# gradio-client
# huggingface-hub
# torch
gradio==5.49.1
# via
# iccv2025 (pyproject.toml)
# gradio-modal
# spaces
gradio-client==1.13.3
# via gradio
gradio-modal==0.0.4
# via iccv2025 (pyproject.toml)
groovy==0.1.2
# via gradio
h11==0.16.0
# via
# httpcore
# uvicorn
hf-xet==1.1.10
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# datasets
# gradio
# gradio-client
# mcp
# safehttpx
# spaces
httpx-sse==0.4.3
# via mcp
huggingface-hub==0.35.3
# via
# datasets
# gradio
# gradio-client
# sentence-transformers
# tokenizers
# transformers
idna==3.11
# via
# anyio
# httpx
# requests
# yarl
jinja2==3.1.6
# via
# gradio
# torch
joblib==1.5.2
# via scikit-learn
jsonschema==4.25.1
# via mcp
jsonschema-specifications==2025.9.1
# via jsonschema
markdown-it-py==4.0.0
# via rich
markupsafe==3.0.3
# via
# gradio
# jinja2
mcp==1.10.1
# via gradio
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.7.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
networkx==3.4.2
# via torch
numpy==2.2.6
# via
# datasets
# faiss-cpu
# gradio
# pandas
# scikit-learn
# scipy
# transformers
nvidia-cublas-cu12==12.8.4.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.8.90
# via torch
nvidia-cuda-nvrtc-cu12==12.8.93
# via torch
nvidia-cuda-runtime-cu12==12.8.90
# via torch
nvidia-cudnn-cu12==9.10.2.21
# via torch
nvidia-cufft-cu12==11.3.3.83
# via torch
nvidia-cufile-cu12==1.13.1.3
# via torch
nvidia-curand-cu12==10.3.9.90
# via torch
nvidia-cusolver-cu12==11.7.3.90
# via torch
nvidia-cusparse-cu12==12.5.8.93
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.7.1
# via torch
nvidia-nccl-cu12==2.27.3
# via torch
nvidia-nvjitlink-cu12==12.8.93
# via
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.8.90
# via torch
orjson==3.11.3
# via gradio
packaging==25.0
# via
# datasets
# faiss-cpu
# gradio
# gradio-client
# huggingface-hub
# spaces
# transformers
pandas==2.3.3
# via
# datasets
# gradio
pillow==11.3.0
# via
# gradio
# sentence-transformers
polars==1.34.0
# via iccv2025 (pyproject.toml)
polars-runtime-32==1.34.0
# via polars
propcache==0.4.1
# via
# aiohttp
# yarl
psutil==5.9.8
# via spaces
pyarrow==21.0.0
# via datasets
pydantic==2.11.10
# via
# fastapi
# gradio
# mcp
# pydantic-settings
# spaces
pydantic-core==2.33.2
# via pydantic
pydantic-settings==2.11.0
# via mcp
pydub==0.25.1
# via gradio
pygments==2.19.2
# via rich
python-dateutil==2.9.0.post0
# via pandas
python-dotenv==1.1.1
# via pydantic-settings
python-multipart==0.0.20
# via
# gradio
# mcp
pytz==2025.2
# via pandas
pyyaml==6.0.3
# via
# datasets
# gradio
# huggingface-hub
# transformers
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
regex==2025.9.18
# via transformers
requests==2.32.5
# via
# datasets
# huggingface-hub
# spaces
# transformers
rich==14.2.0
# via typer
rpds-py==0.27.1
# via
# jsonschema
# referencing
ruff==0.14.1
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.6.2
# via transformers
scikit-learn==1.7.2
# via sentence-transformers
scipy==1.15.3
# via
# scikit-learn
# sentence-transformers
semantic-version==2.10.0
# via gradio
sentence-transformers==5.1.1
# via iccv2025 (pyproject.toml)
setuptools==80.9.0
# via triton
shellingham==1.5.4
# via typer
six==1.17.0
# via python-dateutil
sniffio==1.3.1
# via anyio
spaces==0.42.1
# via iccv2025 (pyproject.toml)
sse-starlette==3.0.2
# via mcp
starlette==0.48.0
# via
# fastapi
# gradio
# mcp
sympy==1.14.0
# via torch
threadpoolctl==3.6.0
# via scikit-learn
tokenizers==0.22.1
# via transformers
tomlkit==0.13.3
# via gradio
torch==2.8.0
# via
# iccv2025 (pyproject.toml)
# sentence-transformers
tqdm==4.67.1
# via
# datasets
# huggingface-hub
# sentence-transformers
# transformers
transformers==4.57.1
# via sentence-transformers
triton==3.4.0
# via torch
typer==0.19.2
# via gradio
typing-extensions==4.15.0
# via
# aiosignal
# anyio
# exceptiongroup
# fastapi
# gradio
# gradio-client
# huggingface-hub
# multidict
# pydantic
# pydantic-core
# referencing
# sentence-transformers
# spaces
# starlette
# torch
# typer
# typing-inspection
# uvicorn
typing-inspection==0.4.2
# via
# pydantic
# pydantic-settings
tzdata==2025.2
# via pandas
urllib3==2.5.0
# via requests
uvicorn==0.38.0
# via
# gradio
# mcp
websockets==15.0.1
# via gradio-client
xxhash==3.6.0
# via datasets
yarl==1.22.0
# via aiohttp