# This file was autogenerated by uv via the following command:
#    uv export --no-hashes --no-dev --no-emit-package typer-slim --no-emit-package spaces --no-emit-project -o requirements.txt
./wheels/diff_gaussian_rasterization-1.0.0-cp312-cp312-linux_x86_64.whl
    # via gaussian-city
./wheels/grid_encoder-1.0.0-cp312-cp312-linux_x86_64.whl
    # via gaussian-city
./wheels/voxlib_ext-3.0.0-cp312-cp312-linux_x86_64.whl
    # via gaussian-city
addict==2.4.0
    # via gaussian-city
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   gradio
    #   httpx
    #   mcp
    #   sse-starlette
    #   starlette
attrs==26.1.0
    # via
    #   jsonschema
    #   referencing
authlib==1.7.2
    # via gradio
brotli==1.2.0
    # via gradio
ccimport==0.4.4
    # via
    #   pccm
    #   spconv-cu126
certifi==2026.5.20
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0 ; platform_python_implementation != 'PyPy'
    # via cryptography
charset-normalizer==3.4.7
    # via requests
click==8.4.1
    # via
    #   typer
    #   uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   tqdm
cryptography==48.0.0
    # via
    #   authlib
    #   joserfc
    #   pyjwt
cumm-cu126==0.7.11
    # via spconv-cu126
easydict==1.13
    # via gaussian-city
einops==0.8.2
    # via flash-attn
fastapi==0.136.3
    # via gradio
filelock==3.29.0
    # via
    #   huggingface-hub
    #   torch
fire==0.7.1
    # via
    #   cumm-cu126
    #   pccm
    #   spconv-cu126
flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiTRUE-cp312-cp312-linux_x86_64.whl
    # via gaussian-city
fsspec==2026.4.0
    # via
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==6.14.0
    # via
    #   gaussian-city
    #   spaces
gradio-client==2.5.0
    # via
    #   gradio
    #   hf-gradio
groovy==0.1.2
    # via gradio
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-gradio==0.4.1
    # via gradio
hf-xet==1.5.0 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   mcp
    #   safehttpx
    #   spaces
httpx-sse==0.4.3
    # via mcp
huggingface-hub==1.16.1
    # via
    #   gaussian-city
    #   gradio
    #   gradio-client
idna==3.16
    # via
    #   anyio
    #   httpx
    #   requests
itsdangerous==2.2.0
    # via gradio
jinja2==3.1.6
    # via
    #   gradio
    #   torch
joserfc==1.6.7
    # via authlib
jsonschema==4.26.0
    # via mcp
jsonschema-specifications==2025.9.1
    # via jsonschema
lark==1.3.1
    # via pccm
markdown-it-py==4.2.0
    # via rich
markupsafe==3.0.3
    # via
    #   gradio
    #   jinja2
mcp==1.27.1
    # via gradio
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
networkx==3.6.1
    # via torch
ninja==1.13.0
    # via ccimport
numpy==1.26.4
    # via
    #   cumm-cu126
    #   gaussian-city
    #   gradio
    #   opencv-python-headless
    #   pandas
    #   scipy
    #   spconv-cu126
    #   torchvision
nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nccl-cu12==2.27.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
opencv-python-headless==4.11.0.86
    # via gaussian-city
orjson==3.11.9
    # via gradio
packaging==26.2
    # via
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   spaces
pandas==3.0.3
    # via gradio
pccm==0.4.16
    # via
    #   cumm-cu126
    #   spconv-cu126
pillow==12.2.0
    # via
    #   gaussian-city
    #   gradio
    #   torchvision
portalocker==3.2.0
    # via pccm
pybind11==3.0.4
    # via
    #   ccimport
    #   cumm-cu126
    #   pccm
    #   spconv-cu126
pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy'
    # via cffi
pydantic==2.12.5
    # via
    #   fastapi
    #   gradio
    #   mcp
    #   pydantic-settings
    #   spaces
pydantic-core==2.41.5
    # via pydantic
pydantic-settings==2.14.1
    # via mcp
pydub==0.25.1
    # via gradio
pygments==2.20.0
    # via rich
pyjwt==2.13.0
    # via mcp
python-dateutil==2.9.0.post0
    # via pandas
python-dotenv==1.2.2
    # via pydantic-settings
python-multipart==0.0.29
    # via
    #   gradio
    #   mcp
pytz==2026.2
    # via gradio
pywin32==311 ; sys_platform == 'win32'
    # via
    #   mcp
    #   portalocker
pyyaml==6.0.3
    # via
    #   gradio
    #   huggingface-hub
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.34.2
    # via
    #   ccimport
    #   spaces
rich==15.0.0
    # via typer
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
safehttpx==0.1.7
    # via gradio
scipy==1.17.1
    # via gaussian-city
semantic-version==2.10.0
    # via gradio
setuptools==82.0.1
    # via
    #   torch
    #   triton
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
spconv-cu126==2.3.8
    # via gaussian-city
sse-starlette==3.4.4
    # via mcp
starlette==1.1.0
    # via
    #   fastapi
    #   gradio
    #   mcp
    #   sse-starlette
sympy==1.14.0
    # via
    #   cumm-cu126
    #   torch
termcolor==3.3.0
    # via fire
tomlkit==0.14.0
    # via gradio
torch==2.8.0+cu128
    # via
    #   flash-attn
    #   gaussian-city
    #   torchvision
torch-scatter @ https://data.pyg.org/whl/torch-2.8.0+cu128/torch_scatter-2.1.2+pt28cu128-cp312-cp312-linux_x86_64.whl
    # via gaussian-city
torchvision==0.23.0+cu128
    # via gaussian-city
tqdm==4.67.3
    # via
    #   gaussian-city
    #   huggingface-hub
triton==3.4.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
typer==0.25.1
    # via
    #   gradio
    #   hf-gradio
    #   huggingface-hub
typing-extensions==4.15.0
    # via
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   mcp
    #   pydantic
    #   pydantic-core
    #   referencing
    #   spaces
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   mcp
    #   pydantic
    #   pydantic-settings
tzdata==2026.2 ; sys_platform == 'emscripten' or sys_platform == 'win32'
    # via pandas
urllib3==2.7.0
    # via requests
uvicorn==0.48.0
    # via
    #   gradio
    #   mcp