# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.txt --group dataset
av==15.0.0
    # via colorization-metrics (pyproject.toml)
blosc2==3.5.1
    # via tables
certifi==2025.7.14
    # via requests
charset-normalizer==3.4.2
    # via requests
contourpy==1.3.2
    # via matplotlib
cycler==0.12.1
    # via matplotlib
einops==0.8.1
    # via maniqa
filelock==3.18.0
    # via torch
fonttools==4.59.0
    # via matplotlib
fsspec==2025.7.0
    # via torch
idna==3.10
    # via requests
imageio==2.37.0
    # via scikit-image
jinja2==3.1.6
    # via torch
joblib==1.5.1
    # via scikit-learn
kiwisolver==1.4.8
    # via matplotlib
lazy-loader==0.4
    # via scikit-image
libsvm-official==3.36.0
    # via colorization-metrics (pyproject.toml)
lpips==0.1.4
    # via colorization-metrics (pyproject.toml)
maniqa @ git+https://gitlab.inria.fr/nmaignan/MANIQA@a5f9564705bc146a97e19397d755dfd42448ed02
    # via colorization-metrics (pyproject.toml)
markupsafe==3.0.2
    # via jinja2
matplotlib==3.10.3
    # via colorization-metrics (pyproject.toml:dataset)
matpy @ git+https://gitlab.inria.fr/nmaignan/matpy@609a1b834dd61e8bf723448ae81bf1a606fa02a0
    # via colorization-metrics (pyproject.toml)
mpmath==1.3.0
    # via sympy
msgpack==1.1.1
    # via blosc2
ndindex==1.10.0
    # via blosc2
networkx==3.5
    # via
    #   scikit-image
    #   torch
numexpr==2.11.0
    # via
    #   blosc2
    #   tables
numpy==2.3.1
    # via
    #   colorization-metrics (pyproject.toml)
    #   blosc2
    #   contourpy
    #   imageio
    #   lpips
    #   maniqa
    #   matplotlib
    #   matpy
    #   numexpr
    #   opencv-python
    #   pandas
    #   pytorch-fid
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   tables
    #   tensorboardx
    #   tifffile
    #   torchvision
nvidia-cublas-cu12==12.6.4.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.6.80
    # via torch
nvidia-cuda-nvrtc-cu12==12.6.77
    # via torch
nvidia-cuda-runtime-cu12==12.6.77
    # via torch
nvidia-cudnn-cu12==9.5.1.17
    # via torch
nvidia-cufft-cu12==11.3.0.4
    # via torch
nvidia-cufile-cu12==1.11.1.6
    # via torch
nvidia-curand-cu12==10.3.7.77
    # via torch
nvidia-cusolver-cu12==11.7.1.2
    # via torch
nvidia-cusparse-cu12==12.5.4.2
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.6.3
    # via torch
nvidia-nccl-cu12==2.26.2
    # via torch
nvidia-nvjitlink-cu12==12.6.85
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.6.77
    # via torch
opencv-python==4.11.0.86
    # via maniqa
packaging==25.0
    # via
    #   lazy-loader
    #   matplotlib
    #   scikit-image
    #   tables
    #   tensorboardx
pandas==2.3.1
    # via
    #   colorization-metrics (pyproject.toml:dataset)
    #   maniqa
pillow==11.3.0
    # via
    #   imageio
    #   matplotlib
    #   pytorch-fid
    #   scikit-image
    #   torchvision
platformdirs==4.3.8
    # via
    #   blosc2
    #   maniqa
protobuf==6.31.1
    # via tensorboardx
py-cpuinfo==9.0.0
    # via
    #   blosc2
    #   tables
pyparsing==3.2.3
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytorch-fid==0.3.0
    # via colorization-metrics (pyproject.toml)
pytz==2025.2
    # via pandas
requests==2.32.4
    # via
    #   colorization-metrics (pyproject.toml:dataset)
    #   blosc2
    #   maniqa
scikit-image==0.25.2
    # via
    #   colorization-metrics (pyproject.toml)
    #   maniqa
scikit-learn==1.7.0
    # via colorization-metrics (pyproject.toml)
scipy==1.16.0
    # via
    #   colorization-metrics (pyproject.toml)
    #   libsvm-official
    #   lpips
    #   pytorch-fid
    #   scikit-image
    #   scikit-learn
setuptools==80.9.0
    # via
    #   torch
    #   triton
six==1.17.0
    # via python-dateutil
sympy==1.14.0
    # via torch
tables==3.10.2
    # via colorization-metrics (pyproject.toml:dataset)
tensorboardx==2.6.4
    # via maniqa
threadpoolctl==3.6.0
    # via scikit-learn
tifffile==2025.6.11
    # via scikit-image
torch==2.7.1
    # via
    #   lpips
    #   maniqa
    #   pytorch-fid
    #   torchvision
torchsummary==1.5.1
    # via maniqa
torchvision==0.22.1
    # via
    #   lpips
    #   maniqa
    #   pytorch-fid
tqdm==4.67.1
    # via
    #   colorization-metrics (pyproject.toml)
    #   lpips
    #   maniqa
triton==3.3.1
    # via torch
typing-extensions==4.14.1
    # via
    #   tables
    #   torch
tzdata==2025.2
    # via pandas
urllib3==2.5.0
    # via requests
