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requirements_conda.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
_tflow_select=2.3.0=mkl
absl-py=0.7.1=py37_0
asn1crypto=0.24.0=py37_0
astor=0.7.1=py37_0
attrs=19.1.0=pypi_0
backcall=0.1.0=pypi_0
blas=1.0=mkl
bleach=3.1.0=pypi_0
bzip2=1.0.6=h14c3975_5
c-ares=1.15.0=h7b6447c_1
ca-certificates=2019.5.15=0
certifi=2019.6.16=py37_0
cffi=1.12.2=py37h2e261b9_1
chardet=3.0.4=py37_1
cloudpickle=1.0.0=py_0
conda=4.7.5=py37_0
conda-package-handling=1.3.10=py37_0
cryptography=2.6.1=py37h1ba5d50_0
cycler=0.10.0=py37_0
cytoolz=0.9.0.1=py37h14c3975_1
dask-core=1.2.2=py_0
dbus=1.13.6=h746ee38_0
decorator=4.4.0=py37_1
defusedxml=0.6.0=pypi_0
efficientnet=0.0.3=pypi_0
entrypoints=0.3=pypi_0
expat=2.2.6=he6710b0_0
fontconfig=2.13.0=h9420a91_0
freetype=2.9.1=h8a8886c_1
gast=0.2.2=py37_0
glib=2.56.2=hd408876_0
grpcio=1.16.1=py37hf8bcb03_1
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
h5py=2.9.0=py37h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
icu=58.2=h9c2bf20_1
idna=2.8=py37_0
image-classifiers=0.2.0=pypi_0
imageio=2.5.0=py37_0
intel-openmp=2019.3=199
ipdb=0.12=pypi_0
ipykernel=5.1.1=pypi_0
ipython=7.5.0=pypi_0
ipython-genutils=0.2.0=pypi_0
ipywidgets=7.4.2=pypi_0
jedi=0.13.3=pypi_0
jinja2=2.10.1=pypi_0
joblib=0.13.2=pypi_0
jpeg=9b=h024ee3a_2
jsonschema=3.0.1=pypi_0
jupyter=1.0.0=pypi_0
jupyter-client=5.2.4=pypi_0
jupyter-console=6.0.0=pypi_0
jupyter-core=4.4.0=pypi_0
keract=2.5.6=pypi_0
keras=2.2.4=0
keras-applications=1.0.7=py_0
keras-base=2.2.4=py37_0
keras-preprocessing=1.0.9=py_0
kiwisolver=1.1.0=py37he6710b0_0
libarchive=3.3.3=h5d8350f_5
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc-ng=8.2.0=hdf63c60_1
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=hbc83047_0
libprotobuf=3.7.1=hd408876_0
libstdcxx-ng=8.2.0=hdf63c60_1
libtiff=4.0.10=h2733197_2
libuuid=1.0.3=h1bed415_2
libxcb=1.13=h1bed415_1
libxml2=2.9.9=he19cac6_0
lz4-c=1.8.1.2=h14c3975_0
lzo=2.10=h49e0be7_2
markdown=3.1=py37_0
markupsafe=1.1.1=pypi_0
matplotlib=3.0.3=py37h5429711_0
mistune=0.8.4=pypi_0
mkl=2019.3=199
mkl_fft=1.0.12=py37ha843d7b_0
mkl_random=1.0.2=py37hd81dba3_0
mock=2.0.0=py37_0
nbconvert=5.5.0=pypi_0
nbformat=4.4.0=pypi_0
ncurses=6.1=he6710b0_1
networkx=2.3=py_0
notebook=5.7.8=pypi_0
numpy=1.16.3=py37h7e9f1db_0
numpy-base=1.16.3=py37hde5b4d6_0
olefile=0.46=py37_0
opencv-python=4.1.0.25=pypi_0
openssl=1.1.1c=h7b6447c_1
pandas=0.24.2=py37he6710b0_0
pandocfilters=1.4.2=pypi_0
parso=0.4.0=pypi_0
pbr=5.1.3=py_0
pcre=8.43=he6710b0_0
pexpect=4.7.0=pypi_0
pickleshare=0.7.5=pypi_0
pillow=6.0.0=py37h34e0f95_0
pip=19.0.3=py37_0
prometheus-client=0.7.0=pypi_0
prompt-toolkit=2.0.9=pypi_0
protobuf=3.7.1=py37he6710b0_0
ptyprocess=0.6.0=pypi_0
pycosat=0.6.3=py37h14c3975_0
pycparser=2.19=py37_0
pygments=2.4.2=pypi_0
pyopenssl=19.0.0=py37_0
pyparsing=2.4.0=py_0
pyqt=5.9.2=py37h05f1152_2
pyrsistent=0.15.2=pypi_0
pysocks=1.6.8=py37_0
python=3.7.3=h0371630_0
python-dateutil=2.8.0=py37_0
python-libarchive-c=2.8=py37_6
pytz=2019.1=py_0
pywavelets=1.0.3=py37hdd07704_1
pyyaml=5.1=py37h7b6447c_0
pyzmq=18.0.1=pypi_0
qt=5.9.7=h5867ecd_1
qtconsole=4.5.1=pypi_0
readline=7.0=h7b6447c_5
requests=2.21.0=py37_0
ruamel_yaml=0.15.46=py37h14c3975_0
scikit-image=0.15.0=py37he6710b0_0
scikit-learn=0.21.2=pypi_0
scipy=1.2.1=py37h7c811a0_0
segmentation-models=0.2.1=pypi_0
send2trash=1.5.0=pypi_0
setuptools=41.0.0=py37_0
sip=4.19.8=py37hf484d3e_0
six=1.12.0=py37_0
sklearn=0.0=pypi_0
sqlite=3.27.2=h7b6447c_0
tensorboard=1.13.1=py37hf484d3e_0
tensorflow=1.13.1=mkl_py37h54b294f_0
tensorflow-base=1.13.1=mkl_py37h7ce6ba3_0
tensorflow-estimator=1.13.0=py_0
termcolor=1.1.0=py37_1
terminado=0.8.2=pypi_0
testpath=0.4.2=pypi_0
tk=8.6.8=hbc83047_0
toolz=0.9.0=py37_0
tornado=6.0.2=py37h7b6447c_0
tqdm=4.32.1=py_0
traitlets=4.3.2=pypi_0
urllib3=1.24.1=py37_0
wcwidth=0.1.7=pypi_0
webencodings=0.5.1=pypi_0
werkzeug=0.15.2=py_0
wheel=0.33.1=py37_0
widgetsnbextension=3.4.2=pypi_0
xz=5.2.4=h14c3975_4
yaml=0.1.7=had09818_2
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0