Conda environment for reproduction

[sshwy]

This proposal provides a possible conda environment list for reproduction.

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=conda_forge
_openmp_mutex=4.5=2_gnu
absl-py=2.0.0=pyhd8ed1ab_0
addict=2.4.0=pypi_0
ansi2html=1.8.0=pypi_0
astor=0.8.1=pyh9f0ad1d_0
attrs=23.1.0=pypi_0
backcall=0.2.0=pypi_0
c-ares=1.20.1=hd590300_0
ca-certificates=2023.7.22=hbcca054_0
cached-property=1.5.2=hd8ed1ab_1
cached_property=1.5.2=pyha770c72_1
certifi=2023.7.22=pypi_0
charset-normalizer=3.3.0=pypi_0
click=8.1.7=pypi_0
comm=0.1.4=pypi_0
configargparse=1.7=pypi_0
cycler=0.11.0=pypi_0
cython=3.0.4=pypi_0
dash=2.14.0=pypi_0
dash-core-components=2.0.0=pypi_0
dash-html-components=2.0.0=pypi_0
dash-table=5.0.0=pypi_0
decorator=5.1.1=pypi_0
fastjsonschema=2.18.1=pypi_0
flask=2.2.5=pypi_0
fonttools=4.38.0=pypi_0
gast=0.5.4=pyhd8ed1ab_0
google-pasta=0.2.0=pyh8c360ce_0
grpc-cpp=1.48.1=h30feacc_1
grpcio=1.48.1=py37he7b19e7_1
h5py=3.7.0=nompi_py37hf1ce037_101
hdf5=1.12.2=nompi_h4df4325_101
idna=3.4=pypi_0
imageio=2.31.2=pypi_0
importlib-metadata=4.11.4=py37h89c1867_0
importlib-resources=5.12.0=pypi_0
ipdb=0.13.13=pypi_0
ipython=7.34.0=pypi_0
ipywidgets=8.1.1=pypi_0
itsdangerous=2.1.2=pypi_0
jedi=0.19.1=pypi_0
jinja2=3.1.2=pypi_0
joblib=1.3.2=pypi_0
jsonschema=4.17.3=pypi_0
jupyter-core=4.12.0=pypi_0
jupyterlab-widgets=3.0.9=pypi_0
keras=2.3.0=pypi_0
keras-applications=1.0.8=py_1
keras-preprocessing=1.1.2=pyhd8ed1ab_0
keyutils=1.6.1=h166bdaf_0
kiwisolver=1.4.5=pypi_0
krb5=1.21.2=h659d440_0
ld_impl_linux-64=2.40=h41732ed_0
libabseil=20220623.0=cxx17_h05df665_6
libaec=1.1.2=h59595ed_1
libblas=3.9.0=19_linux64_openblas
libcblas=3.9.0=19_linux64_openblas
libcurl=8.4.0=hca28451_0
libedit=3.1.20191231=he28a2e2_2
libev=4.33=h516909a_1
libffi=3.4.2=h7f98852_5
libgcc-ng=13.2.0=h807b86a_2
libgfortran-ng=13.2.0=h69a702a_2
libgfortran5=13.2.0=ha4646dd_2
libgomp=13.2.0=h807b86a_2
liblapack=3.9.0=19_linux64_openblas
libnghttp2=1.52.0=h61bc06f_0
libnsl=2.0.1=hd590300_0
libopenblas=0.3.24=pthreads_h413a1c8_0
libpng=1.6.39=h753d276_0
libprotobuf=3.21.8=h6239696_0
libsqlite=3.43.2=h2797004_0
libssh2=1.11.0=h0841786_0
libstdcxx-ng=13.2.0=h7e041cc_2
libzlib=1.2.13=hd590300_5
markdown=3.5=pyhd8ed1ab_0
markupsafe=2.1.1=py37h540881e_1
matplotlib=3.5.3=pypi_0
matplotlib-inline=0.1.6=pypi_0
nbformat=5.7.0=pypi_0
ncurses=6.4=hcb278e6_0
nest-asyncio=1.5.8=pypi_0
networkx=2.6.3=pypi_0
numpy=1.21.6=py37h976b520_0
open3d=0.17.0=pypi_0
opencv-python=4.8.1.78=pypi_0
openssl=3.1.3=hd590300_0
packaging=23.2=pypi_0
pandas=1.3.5=pypi_0
parso=0.8.3=pypi_0
pexpect=4.8.0=pypi_0
pickleshare=0.7.5=pypi_0
pillow=9.5.0=pypi_0
pip=23.3=pyhd8ed1ab_0
pkgutil-resolve-name=1.3.10=pypi_0
plotly=5.17.0=pypi_0
prompt-toolkit=3.0.39=pypi_0
protobuf=4.21.8=py37hd23a5d3_0
ptyprocess=0.7.0=pypi_0
pygments=2.16.1=pypi_0
pyparsing=3.1.1=pypi_0
pyquaternion=0.9.9=pypi_0
pyrsistent=0.19.3=pypi_0
python=3.7.12=hf930737_100_cpython
python-dateutil=2.8.2=pypi_0
python_abi=3.7=4_cp37m
pytz=2023.3.post1=pypi_0
pywavelets=1.3.0=pypi_0
pyyaml=6.0.1=pypi_0
re2=2022.06.01=h27087fc_1
readline=8.2=h8228510_1
requests=2.31.0=pypi_0
retrying=1.3.4=pypi_0
scikit-image=0.18.3=pypi_0
scikit-learn=1.0.2=pypi_0
scipy=1.2.3=pypi_0
setuptools=68.2.2=pyhd8ed1ab_0
six=1.16.0=pyh6c4a22f_0
sqlite=3.43.2=h2c6b66d_0
tenacity=8.2.3=pypi_0
tensorboard=1.14.0=py37_0
tensorflow=1.14.0=h4531e10_0
tensorflow-base=1.14.0=py37h4531e10_0
tensorflow-estimator=1.14.0=py37h5ca1d4c_0
termcolor=2.3.0=pyhd8ed1ab_0
threadpoolctl=3.1.0=pypi_0
tifffile=2021.11.2=pypi_0
tk=8.6.13=h2797004_0
tomli=2.0.1=pypi_0
tqdm=4.66.1=pypi_0
traitlets=5.9.0=pypi_0
typing_extensions=4.7.1=pyha770c72_0
urllib3=2.0.7=pypi_0
wcwidth=0.2.8=pypi_0
werkzeug=2.2.3=pyhd8ed1ab_0
wheel=0.41.2=pyhd8ed1ab_0
widgetsnbextension=4.0.9=pypi_0
wrapt=1.14.1=py37h540881e_0
xz=5.2.6=h166bdaf_0
zipp=3.15.0=pyhd8ed1ab_0
zlib=1.2.13=hd590300_5
zstd=1.5.5=hfc55251_0