requirements.txt

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-64
absl-py=1.0.0=pypi_0
appnope=0.1.2=py38hecd8cb5_1001
astunparse=1.6.3=pypi_0
autopep8=1.6.0=pypi_0
backcall=0.2.0=pyhd3eb1b0_0
bidict=0.21.4=pypi_0
blas=1.0=mkl
brotli=1.0.9=hb1e8313_2
ca-certificates=2021.10.26=hecd8cb5_2
cachetools=4.2.4=pypi_0
certifi=2021.10.8=py38hecd8cb5_0
charset-normalizer=2.0.9=pypi_0
click=8.0.3=pypi_0
cycler=0.11.0=pyhd3eb1b0_0
debugpy=1.5.1=py38he9d5cce_0
decorator=5.1.0=pyhd3eb1b0_0
dnspython=2.1.0=pypi_0
entrypoints=0.3=py38_0
eventlet=0.33.0=pypi_0
flask=2.0.2=pypi_0
flatbuffers=2.0=pypi_0
fonttools=4.25.0=pyhd3eb1b0_0
freetype=2.11.0=hd8bbffd_0
gast=0.4.0=pypi_0
giflib=5.2.1=haf1e3a3_0
google-auth=2.3.3=pypi_0
google-auth-oauthlib=0.4.6=pypi_0
google-pasta=0.2.0=pypi_0
greenlet=1.1.2=pypi_0
grpcio=1.43.0=pypi_0
h5py=3.6.0=pypi_0
idna=3.3=pypi_0
imageio=2.13.5=pypi_0
imgaug=0.4.0=pypi_0
importlib-metadata=4.10.0=pypi_0
intel-openmp=2021.4.0=hecd8cb5_3538
ipykernel=6.6.0=py38h5fd9f69_0
ipython=7.29.0=py38h01d92e1_0
itsdangerous=2.0.1=pypi_0
jedi=0.18.0=py38hecd8cb5_1
jinja2=3.0.3=pypi_0
joblib=1.1.0=pypi_0
jpeg=9d=h9ed2024_0
jupyter_client=7.0.6=pyhd3eb1b0_0
jupyter_core=4.9.1=py38hecd8cb5_0
keras=2.4.3=pypi_0
keras-preprocessing=1.1.2=pypi_0
kiwisolver=1.3.1=py38h23ab428_0
lcms2=2.12=hf1fd2bf_0
libclang=12.0.0=pypi_0
libcxx=12.0.0=h2f01273_0
libffi=3.3=hb1e8313_2
libpng=1.6.37=ha441bb4_0
libsodium=1.0.18=h1de35cc_0
libtiff=4.2.0=h87d7836_0
libwebp=1.2.0=hacca55c_0
libwebp-base=1.2.0=h9ed2024_0
lz4-c=1.9.3=h23ab428_1
markdown=3.3.6=pypi_0
markupsafe=2.0.1=pypi_0
matplotlib=3.5.0=py38hecd8cb5_0
matplotlib-base=3.5.0=py38h4f681db_0
matplotlib-inline=0.1.2=pyhd3eb1b0_2
mkl=2021.4.0=hecd8cb5_637
mkl-service=2.4.0=py38h9ed2024_0
mkl_fft=1.3.1=py38h4ab4a9b_0
mkl_random=1.2.2=py38hb2f4e1b_0
munkres=1.1.4=py_0
ncurses=6.3=hca72f7f_2
nest-asyncio=1.5.1=pyhd3eb1b0_0
netifaces=0.10.6=pypi_0
networkx=2.6.3=pypi_0
numpy=1.21.2=py38h4b4dc7a_0
numpy-base=1.21.2=py38he0bd621_0
oauthlib=3.1.1=pypi_0
olefile=0.46=pyhd3eb1b0_0
opencv-python=4.5.4.60=pypi_0
openssl=1.1.1l=h9ed2024_0
opt-einsum=3.3.0=pypi_0
packaging=21.3=pyhd3eb1b0_0
pandas=1.3.5=pypi_0
parso=0.8.2=pyhd3eb1b0_0
pexpect=4.8.0=pyhd3eb1b0_3
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=8.4.0=py38h98e4679_0
pip=21.2.4=py38hecd8cb5_0
prompt-toolkit=3.0.20=pyhd3eb1b0_0
protobuf=3.19.1=pypi_0
ptyprocess=0.7.0=pyhd3eb1b0_2
pyasn1=0.4.8=pypi_0
pyasn1-modules=0.2.8=pypi_0
pycodestyle=2.8.0=pypi_0
pygments=2.10.0=pyhd3eb1b0_0
pyparsing=3.0.4=pyhd3eb1b0_0
python=3.8.12=h88f2d9e_0
python-dateutil=2.8.2=pyhd3eb1b0_0
python-engineio=3.13.0=pypi_0
python-socketio=4.6.1=pypi_0
python_abi=3.8=2_cp38
pytz=2021.3=pypi_0
pywavelets=1.2.0=pypi_0
pyyaml=6.0=pypi_0
pyzmq=22.3.0=py38he9d5cce_2
readline=8.1=h9ed2024_0
requests=2.26.0=pypi_0
requests-oauthlib=1.3.0=pypi_0
rsa=4.8=pypi_0
scikit-image=0.18.0=pypi_0
scikit-learn=1.0.1=pypi_0
scipy=1.7.3=pypi_0
setuptools=3.3=pypi_0
shapely=1.8.0=pypi_0
six=1.16.0=pyhd3eb1b0_0
sklearn=0.0=pypi_0
socketio=0.2.1=pypi_0
sqlite=3.36.0=hce871da_0
tensorboard=2.7.0=pypi_0
tensorboard-data-server=0.6.1=pypi_0
tensorboard-plugin-wit=1.8.0=pypi_0
tensorflow=2.7.0=pypi_0
tensorflow-estimator=2.7.0=pypi_0
tensorflow-io-gcs-filesystem=0.23.1=pypi_0
termcolor=1.1.0=pypi_0
threadpoolctl=3.0.0=pypi_0
tifffile=2021.11.2=pypi_0
tk=8.6.11=h7bc2e8c_0
toml=0.10.2=pypi_0
tornado=6.1=py38h9ed2024_0
traitlets=5.1.1=pyhd3eb1b0_0
typing-extensions=4.0.1=pypi_0
urllib3=1.26.7=pypi_0
wcwidth=0.2.5=pyhd3eb1b0_0
werkzeug=2.0.2=pypi_0
wheel=0.37.0=pyhd3eb1b0_1
wrapt=1.13.3=pypi_0
xz=5.2.5=h1de35cc_0
zeromq=4.3.4=h23ab428_0
zipp=3.6.0=pypi_0
zlib=1.2.11=h4dc903c_4
zstd=1.4.9=h322a384_0