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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
absl-py=0.7.1=pypi_0
astor=0.8.0=pypi_0
attrs=19.1.0=py36_1
backcall=0.1.0=py36_0
better-exceptions=0.2.2=pypi_0
blas=1.0=mkl
bleach=1.5.0=pypi_0
bzip2=1.0.6=h14c3975_5
ca-certificates=2019.5.15=0
cairo=1.14.12=h8948797_3
certifi=2019.6.16=py36_0
click=7.0=pypi_0
click-plugins=1.1.1=py_0
cligj=0.5.0=py36_0
curl=7.64.1=hbc83047_0
cycler=0.10.0=pypi_0
dbus=1.13.6=h746ee38_0
decorator=4.4.0=py36_1
descartes=1.1.0=py36_0
expat=2.2.6=he6710b0_0
fiona=1.8.4=py36hc38cc03_0
fontconfig=2.13.0=h9420a91_0
freetype=2.9.1=h8a8886c_1
freexl=1.0.5=h14c3975_0
gdal=2.3.3=py36hbb2a789_0
geojson=2.4.1=pypi_0
geopandas=0.4.1=py_0
geos=3.7.1=he6710b0_0
giflib=5.1.4=h14c3975_1
glib=2.56.2=hd408876_0
google-pasta=0.1.7=pypi_0
grpcio=1.21.1=pypi_0
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
h5py=2.9.0=pypi_0
hdf4=4.2.13=h3ca952b_2
hdf5=1.10.4=hb1b8bf9_0
icu=58.2=h9c2bf20_1
imageio=2.5.0=pypi_0
intel-openmp=2019.4=243
ipykernel=5.1.1=py36h39e3cac_0
ipython=7.5.0=py36h39e3cac_0
ipython_genutils=0.2.0=py36_0
jedi=0.13.3=py36_0
joblib=0.13.2=py36_0
jpeg=9b=h024ee3a_2
json-c=0.13.1=h1bed415_0
jupyter_client=5.2.4=py36_0
jupyter_core=4.4.0=py36_0
kealib=1.4.7=hd0c454d_6
keras-applications=1.0.8=pypi_0
keras-preprocessing=1.1.0=pypi_0
kiwisolver=1.1.0=py36he6710b0_0
krb5=1.16.1=h173b8e3_7
libboost=1.67.0=h46d08c1_4
libcurl=7.64.1=h20c2e04_0
libdap4=3.19.1=h6ec2957_0
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc-ng=8.2.0=hdf63c60_1
libgdal=2.3.3=h2e7e64b_0
libgfortran-ng=7.3.0=hdf63c60_0
libkml=1.3.0=h590aaf7_4
libnetcdf=4.6.1=h11d0813_2
libpng=1.6.37=hbc83047_0
libpq=11.2=h20c2e04_0
libsodium=1.0.16=h1bed415_0
libspatialindex=1.8.5=h20b78c2_2
libspatialite=4.3.0a=hb08deb6_19
libssh2=1.8.2=h1ba5d50_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
mapclassify=2.0.1=py_0
markdown=3.1.1=pypi_0
matplotlib=3.1.0=pypi_0
mkl=2019.4=243
mkl-service=2.0.2=py36h7b6447c_0
mkl_fft=1.0.12=py36ha843d7b_0
mkl_random=1.0.2=py36hd81dba3_0
mock=3.0.5=pypi_0
munch=2.3.2=py36_0
ncurses=6.1=he6710b0_1
networkx=2.3=pypi_0
numpy=1.16.4=pypi_0
numpy-base=1.16.4=py36hde5b4d6_0
opencv-python=3.4.5.20=pypi_0
openjpeg=2.3.0=h05c96fa_1
openssl=1.1.1c=h7b6447c_1
pandas=0.24.2=pypi_0
parso=0.4.0=py_0
pcre=8.43=he6710b0_0
pexpect=4.7.0=py36_0
pickleshare=0.7.5=py36_0
pillow=6.0.0=pypi_0
pip=19.1.1=py36_0
pixman=0.38.0=h7b6447c_0
poppler=0.65.0=h581218d_1
poppler-data=0.4.9=0
proj4=5.2.0=he6710b0_1
prompt_toolkit=2.0.9=py36_0
protobuf=3.8.0=pypi_0
psycopg2=2.7.6.1=py36h1ba5d50_0
ptyprocess=0.6.0=py36_0
py-cpuinfo=5.0.0=pypi_0
pygments=2.4.2=py_0
pyparsing=2.4.0=py_0
pyproj=1.9.6=py36h14380d9_0
pyqt=5.9.2=py36h05f1152_2
python=3.6.8=h0371630_0
python-dateutil=2.8.0=pypi_0
python-levenshtein=0.12.0=pypi_0
pytz=2019.1=pypi_0
pywavelets=1.0.3=pypi_0
pyzmq=18.0.0=py36he6710b0_0
qt=5.9.7=h5867ecd_1
readline=7.0=h7b6447c_5
rtree=0.8.3=py36_0
sacred=0.7.4=pypi_0
scikit-image=0.15.0=pypi_0
scikit-learn=0.21.2=py36hd81dba3_0
scipy=1.3.0=pypi_0
setuptools=41.0.1=py36_0
shapely=1.6.4.post2=pypi_0
sip=4.19.8=py36hf484d3e_0
six=1.12.0=pypi_0
sqlalchemy=1.3.4=py36h7b6447c_0
sqlite=3.28.0=h7b6447c_0
tb-nightly=1.14.0a20190301=pypi_0
tensorboard=1.13.1=pypi_0
tensorflow=1.13.1=pypi_0
tensorflow-estimator=1.13.0=pypi_0
tensorflow-tensorboard=1.5.1=pypi_0
tf-estimator-nightly=1.14.0.dev2019030115=pypi_0
tk=8.6.8=hbc83047_0
tornado=6.0.2=py36h7b6447c_0
tqdm=4.32.1=pypi_0
traitlets=4.3.2=py36_0
wcwidth=0.1.7=py36_0
werkzeug=0.15.4=pypi_0
wheel=0.33.4=py36_0
wrapt=1.11.1=pypi_0
xerces-c=3.2.2=h780794e_0
xz=5.2.4=h14c3975_4
zeromq=4.3.1=he6710b0_3
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0