# 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=2.3.0=mkl

absl-py=0.9.0=py37_0

astor=0.8.0=py37_0

astunparse=1.6.3=py_0

blas=1.0=mkl

blinker=1.4=py37_0

brotlipy=0.7.0=py37h7b6447c_1000

bzip2=1.0.8=h7b6447c_0

c-ares=1.15.0=h7b6447c_1001

ca-certificates=2020.6.24=0

cachetools=4.1.0=py_1

cairo=1.14.12=h8948797_3

certifi=2020.6.20=py37_0

cffi=1.14.0=py37he30daa8_1

chardet=3.0.4=py37_1003

click=7.1.2=py_0

cloudpickle=1.5.0=py_0

cryptography=2.9.2=py37h1ba5d50_0

cycler=0.10.0=py37_0

cytoolz=0.10.1=py37h7b6447c_0

dask-core=2.20.0=py_0

dbus=1.13.16=hb2f20db_0

decorator=4.4.2=py_0

expat=2.2.9=he6710b0_2

ffmpeg=4.0=hcdf2ecd_0

fontconfig=2.13.0=h9420a91_0

freeglut=3.0.0=hf484d3e_5

freetype=2.10.2=h5ab3b9f_0

gast=0.2.2=py37_0

glib=2.65.0=h3eb4bd4_0

google-auth=1.17.2=py_0

google-auth-oauthlib=0.4.1=py_2

google-pasta=0.2.0=py_0

graphite2=1.3.14=h23475e2_0

grpcio=1.27.2=py37hf8bcb03_0

gst-plugins-base=1.14.0=hbbd80ab_1

gstreamer=1.14.0=hb31296c_0

h5py=2.8.0=py37h989c5e5_3

harfbuzz=1.8.8=hffaf4a1_0

hdf5=1.10.2=hba1933b_1

icu=58.2=he6710b0_3

idna=2.10=py_0

imageio=2.9.0=py_0

intel-openmp=2020.1=217

jasper=2.0.14=h07fcdf6_1

joblib=0.16.0=py_0

jpeg=9b=h024ee3a_2

keras-applications=1.0.8=py_1

keras-preprocessing=1.1.0=py_1

kiwisolver=1.2.0=py37hfd86e86_0

lcms2=2.11=h396b838_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

libglu=9.0.0=hf484d3e_1

libopencv=3.4.2=hb342d67_1

libopus=1.3.1=h7b6447c_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

libvpx=1.7.0=h439df22_0

libxcb=1.14=h7b6447c_0

libxml2=2.9.10=he19cac6_1

lz4-c=1.9.2=he6710b0_1

markdown=3.1.1=py37_0

matplotlib=3.2.2=0

matplotlib-base=3.2.2=py37hef1b27d_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

ncurses=6.2=he6710b0_1

networkx=2.4=py_1

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=3.4.2=py37h6fd60c2_1

openssl=1.1.1g=h7b6447c_0

opt_einsum=3.1.0=py_0

pandas=1.0.5=py37h0573a6f_0

pcre=8.44=he6710b0_0

pillow=7.2.0=py37hb39fc2d_0

pip=20.1.1=py37_1

pixman=0.40.0=h7b6447c_0

protobuf=3.12.3=py37he6710b0_0

py-opencv=3.4.2=py37hb342d67_1

pyasn1=0.4.8=py_0

pyasn1-modules=0.2.7=py_0

pycparser=2.20=py_2

pyjwt=1.7.1=py37_0

pympler=0.7=py_0

pyopenssl=19.1.0=py_1

pyparsing=2.4.7=py_0

pyqt=5.9.2=py37h05f1152_2

pysocks=1.7.1=py37_1

python=3.7.7=hcff3b4d_5

python-dateutil=2.8.1=py_0

pytz=2020.1=py_0

pywavelets=1.1.1=py37h7b6447c_0

pyyaml=5.3.1=py37h7b6447c_1

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=0.16.2=py37h0573a6f_0

scikit-learn=0.23.1=py37h423224d_0

scipy=1.5.0=py37h0b6359f_0

seaborn=0.10.1=py_0

setuptools=49.2.0=py37_0

sip=4.19.8=py37hf484d3e_0

six=1.15.0=py_0

sqlite=3.32.3=h62c20be_0

tensorboard=2.2.1=pyh532a8cf_0

tensorboard-plugin-wit=1.6.0=py_0

tensorflow=2.0.0=mkl_py37h66b46cc_0

tensorflow-base=2.0.0=mkl_py37h9204916_0

tensorflow-estimator=2.0.0=pyh2649769_0

termcolor=1.1.0=py37_1

threadpoolctl=2.1.0=pyh5ca1d4c_0

tk=8.6.10=hbc83047_0

toolz=0.10.0=py_0

tornado=6.0.4=py37h7b6447c_1

urllib3=1.25.9=py_0

werkzeug=0.16.1=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

zlib=1.2.11=h7b6447c_3

zstd=1.4.5=h9ceee32_0