requirements.txt

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_tflow_select=2.1.0=gpu
absl-py=0.10.0=py37_0
astor=0.8.1=py37_0
blas=1.0=mkl
c-ares=1.16.1=h7b6447c_0
ca-certificates=2020.10.14=0
certifi=2020.6.20=py37_0
colorama=0.4.4=pyh9f0ad1d_0
cudatoolkit=10.1.243=h6bb024c_0
cudnn=7.6.5=cuda10.1_0
cupti=10.1.168=0
cycler=0.11.0=pyhd8ed1ab_0
freetype=2.10.4=h7ca028e_0
gast=0.4.0=py_0
google-pasta=0.2.0=py_0
grpcio=1.31.0=py37hf8bcb03_0
h5py=2.10.0=py37hd6299e0_1
hdf5=1.10.6=hb1b8bf9_0
icu=67.1=he1b5a44_0
importlib-metadata=2.0.0=py_1
intel-openmp=2020.2=254
keras-applications=1.0.8=py_1
keras-preprocessing=1.1.0=py_1
kiwisolver=1.3.2=py37h295c915_0
ld_impl_linux-64=2.33.1=h53a641e_7
libedit=3.1.20191231=h14c3975_1
libffi=3.3=he6710b0_2
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=h21135ba_2
libprotobuf=3.13.0.1=hd408876_0
libstdcxx-ng=9.1.0=hdf63c60_0
markdown=3.3.2=py37_0
matplotlib=3.2.2=1
matplotlib-base=3.2.2=py37h1d35a4c_1
mkl=2019.4=243
mkl-service=2.3.0=py37he904b0f_0
mkl_fft=1.2.0=py37h23d657b_0
mkl_random=1.1.0=py37hd6b4f25_0
ncurses=6.2=he6710b0_1
nibabel=3.2.2=pyhd8ed1ab_0
numpy=1.19.1=py37hbc911f0_0
numpy-base=1.19.1=py37hfa32c7d_0
openssl=1.1.1h=h7b6447c_0
packaging=21.3=pyhd8ed1ab_0
pip=20.2.4=py37_0
protobuf=3.13.0.1=py37he6710b0_1
pydicom=2.2.2=pyh6c4a22f_0
pyparsing=3.0.7=pyhd8ed1ab_0
python=3.7.9=h7579374_0
python-dateutil=2.8.2=pyhd8ed1ab_0
python_abi=3.7=2_cp37m
readline=8.0=h7b6447c_0
scipy=1.5.2=py37h0b6359f_0
setuptools=50.3.0=py37hb0f4dca_1
six=1.15.0=py_0
sqlite=3.33.0=h62c20be_0
tensorboard=1.14.0=py37hf484d3e_0
tensorflow=1.14.0=gpu_py37h74c33d7_0
tensorflow-base=1.14.0=gpu_py37he45bfe2_0
tensorflow-estimator=1.14.0=py_0
tensorflow-gpu=1.14.0=h0d30ee6_0
termcolor=1.1.0=py37_1
tk=8.6.10=hbc83047_0
tornado=6.1=py37h4abf009_0
tqdm=4.63.0=pyhd8ed1ab_0
werkzeug=1.0.1=py_0
wheel=0.35.1=py_0
wrapt=1.12.1=py37h7b6447c_1
xz=5.2.5=h7b6447c_0
zipp=3.3.1=py_0
zlib=1.2.11=h7b6447c_3