requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    pip-compile --no-emit-index-url
#
absl-py==1.4.0
    # via tensorboard
albumentations==1.3.0
    # via -r requirements.in
appnope==0.1.3
    # via ipython
astroid==2.15.5
    # via pylint
asttokens==2.2.1
    # via stack-data
backcall==0.2.0
    # via ipython
build==0.10.0
    # via pip-tools
cachetools==5.3.1
    # via google-auth
certifi==2023.5.7
    # via
    #   kaggle
    #   requests
cfgv==3.3.1
    # via pre-commit
charset-normalizer==3.1.0
    # via requests
click==8.1.3
    # via pip-tools
contourpy==1.0.7
    # via matplotlib
cycler==0.11.0
    # via matplotlib
decorator==5.1.1
    # via ipython
dill==0.3.6
    # via pylint
distlib==0.3.6
    # via virtualenv
executing==1.2.0
    # via stack-data
filelock==3.12.0
    # via
    #   torch
    #   virtualenv
fonttools==4.39.4
    # via matplotlib
gif-your-nifti @ git+https://github.com/miykael/gif_your_nifti.git
    # via -r requirements.in
google-auth==2.19.1
    # via
    #   google-auth-oauthlib
    #   tensorboard
google-auth-oauthlib==1.0.0
    # via tensorboard
grpcio==1.54.2
    # via tensorboard
h5py==3.8.0
    # via -r requirements.in
identify==2.5.24
    # via pre-commit
idna==3.4
    # via requests
imageio==2.27.0
    # via
    #   -r requirements.in
    #   gif-your-nifti
    #   scikit-image
ipython==8.14.0
    # via -r requirements.in
isort==5.12.0
    # via pylint
jedi==0.18.2
    # via ipython
jinja2==3.1.2
    # via torch
joblib==1.2.0
    # via
    #   nilearn
    #   scikit-learn
kaggle==1.5.13
    # via -r requirements.in
kiwisolver==1.4.4
    # via matplotlib
lazy-loader==0.2
    # via scikit-image
lazy-object-proxy==1.9.0
    # via astroid
lxml==4.9.2
    # via nilearn
markdown==3.4.3
    # via tensorboard
markdown-it-py==2.2.0
    # via rich
markupsafe==2.1.3
    # via
    #   jinja2
    #   werkzeug
matplotlib==3.7.1
    # via
    #   -r requirements.in
    #   gif-your-nifti
    #   seaborn
matplotlib-inline==0.1.6
    # via ipython
mccabe==0.7.0
    # via pylint
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
mypy==1.3.0
    # via -r requirements.in
mypy-extensions==1.0.0
    # via mypy
networkx==3.1
    # via
    #   scikit-image
    #   torch
nibabel==5.1.0
    # via
    #   -r requirements.in
    #   gif-your-nifti
    #   nilearn
nilearn==0.10.1
    # via -r requirements.in
nodeenv==1.8.0
    # via pre-commit
numpy==1.24.3
    # via
    #   -r requirements.in
    #   albumentations
    #   contourpy
    #   gif-your-nifti
    #   h5py
    #   imageio
    #   matplotlib
    #   nibabel
    #   nilearn
    #   opencv-python-headless
    #   pandas
    #   pywavelets
    #   qudida
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   seaborn
    #   tensorboard
    #   tifffile
oauthlib==3.2.2
    # via requests-oauthlib
opencv-python-headless==4.7.0.72
    # via
    #   albumentations
    #   qudida
packaging==23.1
    # via
    #   build
    #   matplotlib
    #   nibabel
    #   nilearn
    #   scikit-image
pandas==2.0.2
    # via
    #   nilearn
    #   seaborn
parso==0.8.3
    # via jedi
pexpect==4.8.0
    # via ipython
pickleshare==0.7.5
    # via ipython
pillow==9.5.0
    # via
    #   imageio
    #   matplotlib
    #   scikit-image
pip-tools==6.13.0
    # via -r requirements.in
platformdirs==3.5.1
    # via
    #   pylint
    #   virtualenv
pre-commit==3.3.2
    # via -r requirements.in
prompt-toolkit==3.0.38
    # via ipython
protobuf==4.23.2
    # via tensorboard
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.2
    # via stack-data
pyasn1==0.5.0
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.3.0
    # via google-auth
pydicom==2.3.1
    # via -r requirements.in
pyenchant==3.2.2
    # via pylint
pygments==2.15.1
    # via
    #   ipython
    #   rich
pylint[spelling]==2.17.4
    # via -r requirements.in
pyparsing==3.0.9
    # via matplotlib
pyproject-hooks==1.0.0
    # via build
python-dateutil==2.8.2
    # via
    #   kaggle
    #   matplotlib
    #   pandas
python-slugify==8.0.1
    # via kaggle
pytorch3dunet @ git+https://github.com/wolny/pytorch-3dunet.git@1.5.1
    # via -r requirements.in
pytz==2023.3
    # via pandas
pywavelets==1.4.1
    # via scikit-image
pyyaml==6.0
    # via
    #   albumentations
    #   pre-commit
qudida==0.0.4
    # via albumentations
requests==2.31.0
    # via
    #   kaggle
    #   nilearn
    #   requests-oauthlib
    #   tensorboard
requests-oauthlib==1.3.1
    # via google-auth-oauthlib
rich==13.4.1
    # via -r requirements.in
rsa==4.9
    # via google-auth
ruff==0.0.270
    # via -r requirements.in
scikit-image==0.21.0
    # via
    #   -r requirements.in
    #   albumentations
scikit-learn==1.2.2
    # via
    #   -r requirements.in
    #   nilearn
    #   qudida
scipy==1.10.1
    # via
    #   albumentations
    #   nilearn
    #   scikit-image
    #   scikit-learn
seaborn==0.12.2
    # via -r requirements.in
six==1.16.0
    # via
    #   asttokens
    #   google-auth
    #   kaggle
    #   python-dateutil
stack-data==0.6.2
    # via ipython
sympy==1.12
    # via torch
tensorboard==2.13.0
    # via -r requirements.in
tensorboard-data-server==0.7.0
    # via tensorboard
text-unidecode==1.3
    # via python-slugify
threadpoolctl==3.1.0
    # via scikit-learn
tifffile==2023.4.12
    # via scikit-image
tomlkit==0.11.8
    # via pylint
torch==2.0.1
    # via -r requirements.in
torchinfo==1.8.0
    # via -r requirements.in
tqdm==4.65.0
    # via
    #   -r requirements.in
    #   kaggle
traitlets==5.9.0
    # via
    #   ipython
    #   matplotlib-inline
typing-extensions==4.6.3
    # via
    #   mypy
    #   qudida
    #   torch
tzdata==2023.3
    # via pandas
urllib3==1.26.16
    # via
    #   google-auth
    #   kaggle
    #   requests
virtualenv==20.23.0
    # via pre-commit
wcwidth==0.2.6
    # via prompt-toolkit
werkzeug==2.3.4
    # via tensorboard
wheel==0.40.0
    # via
    #   pip-tools
    #   tensorboard
wrapt==1.15.0
    # via astroid

# The following packages are considered to be unsafe in a requirements file:
# pip
# setuptools