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requirements.txt
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requirements.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_tflow_select=2.1.0=gpu
absl-py=0.9.0=py37_0
albumentations=0.4.5=pypi_0
astropy=4.0.1.post1=pypi_0
astroquery=0.4=pypi_0
astunparse=1.6.3=py_0
beautifulsoup4=4.9.1=pypi_0
blas=1.0=mkl
blinker=1.4=py37_0
brotlipy=0.7.0=py37h7b6447c_1000
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2021.4.13=h06a4308_1
cachetools=4.1.0=py_1
certifi=2020.12.5=pypi_0
cffi=1.14.0=pypi_0
chardet=3.0.4=py37_1003
click=7.1.2=py_0
cryptography=2.9.2=py37h1ba5d50_0
cudatoolkit=10.1.243=h6bb024c_0
cudnn=7.6.5=cuda10.1_0
cupti=10.1.168=0
cycler=0.10.0=pypi_0
dbus=1.13.18=hb2f20db_0
decorator=4.4.2=pypi_0
efficientnet=1.1.0=pypi_0
expat=2.4.1=h2531618_2
fontconfig=2.13.1=h6c09931_0
freetype=2.10.4=h5ab3b9f_0
gast=0.3.3=py_0
glib=2.68.2=h36276a3_0
google-auth=1.14.1=py_0
google-auth-oauthlib=0.4.1=py_2
google-pasta=0.2.0=py_0
grpcio=1.27.2=py37hf8bcb03_0
gst-plugins-base=1.14.0=h8213a91_2
gstreamer=1.14.0=h28cd5cc_2
h5py=2.10.0=py37hd6299e0_1
hdf5=1.10.6=hb1b8bf9_0
html5lib=1.0.1=pypi_0
icu=58.2=he6710b0_3
idna=2.10=py_0
imageio=2.8.0=pypi_0
imgaug=0.2.6=pypi_0
importlib-metadata=1.6.1=pypi_0
intel-openmp=2020.1=217
jeepney=0.4.3=pypi_0
joblib=0.15.1=py_0
jpeg=9b=h024ee3a_2
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
keyring=21.2.1=pypi_0
kiwisolver=1.2.0=pypi_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.33.1=h53a641e_7
libedit=3.1.20191231=h7b6447c_0
libffi=3.2.1=hd88cf55_4
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=hbc83047_0
libprotobuf=3.12.3=hd408876_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.1.0=h2733197_1
libuuid=1.0.3=h1bed415_2
libxcb=1.14=h7b6447c_0
libxml2=2.9.10=hb55368b_3
llvmlite=0.36.0=pypi_0
lz4-c=1.9.3=h2531618_0
markdown=3.1.1=py37_0
matplotlib=3.2.1=pypi_0
matplotlib-base=3.3.4=py37h62a2d02_0
mkl=2020.1=217
mkl-service=2.3.0=py37he904b0f_0
mkl_fft=1.1.0=py37h23d657b_0
mkl_random=1.1.1=py37h0573a6f_0
multicoretsne=0.1=pypi_0
ncurses=6.2=he6710b0_1
networkx=2.4=pypi_0
numba=0.53.1=pypi_0
numpy=1.18.5=py37ha1c710e_0
numpy-base=1.18.5=py37hde5b4d6_0
oauthlib=3.1.0=py_0
olefile=0.46=py37_0
opencv-python-headless=4.2.0.34=pypi_0
openssl=1.1.1k=h27cfd23_0
opt_einsum=3.1.0=py_0
pandas=1.0.3=py37h0573a6f_0
pcre=8.44=he6710b0_0
pillow=7.1.2=pypi_0
pip=20.1.1=py37_1
protobuf=3.12.3=py37he6710b0_0
pyasn1=0.4.8=py_0
pyasn1-modules=0.2.7=py_0
pycparser=2.20=py_0
pyjwt=1.7.1=py37_0
pynndescent=0.5.2=pypi_0
pyopenssl=19.1.0=py37_0
pyparsing=2.4.7=pyhd3eb1b0_0
pyqt=5.9.2=py37h05f1152_2
pysocks=1.7.1=py37_0
python=3.7.7=hcf32534_0_cpython
python-dateutil=2.8.1=py_0
pytz=2020.1=py_0
pywavelets=1.1.1=pypi_0
pyyaml=5.3.1=pypi_0
qt=5.9.7=h5867ecd_1
readline=8.0=h7b6447c_0
requests=2.24.0=py_0
requests-oauthlib=1.3.0=py_0
rsa=4.0=py_0
scikit-image=0.17.2=pypi_0
scikit-learn=0.22.1=py37hd81dba3_0
scipy=1.5.0=py37h0b6359f_0
seaborn=0.11.1=pyhd3eb1b0_0
secretstorage=3.1.2=pypi_0
setuptools=47.3.1=py37_0
sip=4.19.8=py37hf484d3e_0
six=1.15.0=py_0
soupsieve=2.0.1=pypi_0
sqlite=3.32.3=h62c20be_0
tbb=2020.0.133=pypi_0
tensorboard=2.2.1=pyh532a8cf_0
tensorboard-plugin-wit=1.6.0=py_0
tensorflow=2.2.0=gpu_py37h1a511ff_0
tensorflow-base=2.2.0=gpu_py37h8a81be8_0
tensorflow-estimator=2.2.0=pyh208ff02_0
tensorflow-gpu=2.2.0=h0d30ee6_0
termcolor=1.1.0=py37_1
tifffile=2020.6.3=pypi_0
tk=8.6.10=hbc83047_0
tornado=6.1=py37h27cfd23_0
umap-learn=0.5.1=pypi_0
urllib3=1.25.9=py_0
webencodings=0.5.1=pypi_0
werkzeug=1.0.1=py_0
wheel=0.34.2=py37_0
wrapt=1.12.1=py37h7b6447c_1
xz=5.2.5=h7b6447c_0
yaml=0.2.5=h7b6447c_0
zipp=3.1.0=pypi_0
zlib=1.2.11=h7b6447c_3
zstd=1.4.9=haebb681_0