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requirements.txt
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#
# This file is autogenerated by pip-compile with python 3.8
# To update, run:
#
# pip-compile requirements.in
#
absl-py
# via tensorboard
albumentations
# via -r requirements.in
cachetools
# via google-auth
certifi
# via requests
charset-normalizer
# via requests
cycler
# via matplotlib
cython
# via pycocotools
easyprocess
# via pyunpack
entrypoint2
# via pyunpack
fonttools
# via matplotlib
future
# via
# pytorch-lightning
# torch
google-auth
# via
# google-auth-oauthlib
# tensorboard
google-auth-oauthlib
# via tensorboard
grpcio
# via tensorboard
idna
# via requests
imageio
# via
# imgaug
# scikit-image
imgaug
# via albumentations
importlib-metadata
# via markdown
kiwisolver
# via matplotlib
markdown
# via tensorboard
matplotlib
# via
# imgaug
# pycocotools
networkx
# via scikit-image
numpy
# via
# albumentations
# imageio
# imgaug
# matplotlib
# opencv-python
# opencv-python-headless
# pytorch-lightning
# pywavelets
# scikit-image
# scipy
# tensorboard
# tifffile
# torch
# torchvision
oauthlib
# via requests-oauthlib
opencv-python
# via imgaug
opencv-python-headless
# via albumentations
packaging
# via
# matplotlib
# scikit-image
patool
# via -r requirements.in
pillow
# via
# imageio
# imgaug
# matplotlib
# scikit-image
# torchvision
protobuf
# via tensorboard
pyasn1
# via
# pyasn1-modules
# rsa
pyasn1-modules
# via google-auth
pycocotools
# via -r requirements.in
pyparsing
# via
# matplotlib
# packaging
python-dateutil
# via matplotlib
pytorch-lightning
# via -r requirements.in
pyunpack
# via -r requirements.in
pywavelets
# via scikit-image
pyyaml
# via
# albumentations
# pytorch-lightning
requests
# via
# requests-oauthlib
# tensorboard
requests-oauthlib
# via google-auth-oauthlib
rsa
# via google-auth
scikit-image
# via imgaug
scipy
# via
# albumentations
# imgaug
# scikit-image
shapely
# via imgaug
six
# via
# google-auth
# grpcio
# imgaug
# python-dateutil
tensorboard
# via pytorch-lightning
tensorboard-data-server
# via tensorboard
tensorboard-plugin-wit
# via tensorboard
tifffile
# via scikit-image
torch
# via
# -r requirements.in
# pytorch-lightning
# torchvision
torchvision
# via -r requirements.in
tqdm
# via pytorch-lightning
urllib3
# via requests
werkzeug
# via tensorboard
wheel
# via tensorboard
zipp
# via importlib-metadata