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ViTPose-transformers
File size: 5,399 Bytes 
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# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.txt
accelerate==1.2.1
    # via vitpose-transformers (pyproject.toml)
aiofiles==23.2.1
    # via gradio
annotated-types==0.7.0
    # via pydantic
anyio==4.8.0
    # via
    #   gradio
    #   httpx
    #   starlette
certifi==2024.12.14
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via
    #   typer
    #   uvicorn
contourpy==1.3.1
    # via
    #   matplotlib
    #   supervision
cycler==0.12.1
    # via matplotlib
defusedxml==0.7.1
    # via supervision
exceptiongroup==1.2.2
    # via anyio
fastapi==0.115.6
    # via gradio
ffmpy==0.5.0
    # via gradio
filelock==3.16.1
    # via
    #   huggingface-hub
    #   torch
    #   transformers
    #   triton
fonttools==4.55.3
    # via matplotlib
fsspec==2024.12.0
    # via
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==5.11.0
    # via
    #   vitpose-transformers (pyproject.toml)
    #   spaces
gradio-client==1.5.3
    # via gradio
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
hf-transfer==0.1.9
    # via vitpose-transformers (pyproject.toml)
httpcore==1.0.7
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   safehttpx
    #   spaces
huggingface-hub==0.27.1
    # via
    #   accelerate
    #   gradio
    #   gradio-client
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
jinja2==3.1.5
    # via
    #   gradio
    #   torch
kiwisolver==1.4.8
    # via matplotlib
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via
    #   gradio
    #   jinja2
matplotlib==3.10.0
    # via supervision
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
networkx==3.4.2
    # via torch
numpy==2.2.1
    # via
    #   accelerate
    #   contourpy
    #   gradio
    #   matplotlib
    #   opencv-python
    #   opencv-python-headless
    #   pandas
    #   scipy
    #   supervision
    #   transformers
nvidia-cublas-cu12==12.1.3.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.1.105
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105
    # via torch
nvidia-cuda-runtime-cu12==12.1.105
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.0.2.54
    # via torch
nvidia-curand-cu12==10.3.2.106
    # via torch
nvidia-cusolver-cu12==11.4.5.107
    # via torch
nvidia-cusparse-cu12==12.1.0.106
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.6.85
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
opencv-python==4.10.0.84
    # via supervision
opencv-python-headless==4.10.0.84
    # via vitpose-transformers (pyproject.toml)
orjson==3.10.14
    # via gradio
packaging==24.2
    # via
    #   accelerate
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   matplotlib
    #   spaces
    #   transformers
pandas==2.2.3
    # via gradio
pillow==11.1.0
    # via
    #   gradio
    #   matplotlib
    #   supervision
psutil==5.9.8
    # via
    #   accelerate
    #   spaces
pydantic==2.10.4
    # via
    #   fastapi
    #   gradio
    #   spaces
pydantic-core==2.27.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.19.1
    # via rich
pyparsing==3.2.1
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-multipart==0.0.20
    # via gradio
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via
    #   accelerate
    #   gradio
    #   huggingface-hub
    #   supervision
    #   transformers
regex==2024.11.6
    # via transformers
requests==2.32.3
    # via
    #   huggingface-hub
    #   spaces
    #   supervision
    #   transformers
rich==13.9.4
    # via typer
ruff==0.8.6
    # via gradio
safehttpx==0.1.6
    # via gradio
safetensors==0.5.2
    # via
    #   accelerate
    #   transformers
scipy==1.15.0
    # via supervision
semantic-version==2.10.0
    # via gradio
setuptools==75.8.0
    # via vitpose-transformers (pyproject.toml)
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via anyio
spaces==0.32.0
    # via vitpose-transformers (pyproject.toml)
starlette==0.41.3
    # via
    #   fastapi
    #   gradio
supervision==0.25.1
    # via vitpose-transformers (pyproject.toml)
sympy==1.13.3
    # via torch
tokenizers==0.21.0
    # via transformers
tomlkit==0.13.2
    # via gradio
torch==2.4.0
    # via
    #   vitpose-transformers (pyproject.toml)
    #   accelerate
tqdm==4.67.1
    # via
    #   huggingface-hub
    #   supervision
    #   transformers
transformers @ git+https://github.com/huggingface/transformers.git@a6256ec0982fee2c57cc41237bff7e64ed4dcda9
    # via vitpose-transformers (pyproject.toml)
triton==3.0.0
    # via torch
typer==0.15.1
    # via gradio
typing-extensions==4.12.2
    # via
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   rich
    #   spaces
    #   torch
    #   typer
    #   uvicorn
tzdata==2024.2
    # via pandas
urllib3==2.3.0
    # via requests
uvicorn==0.34.0
    # via gradio
websockets==14.1
    # via gradio-client