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requirements.txt
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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: win-64
argon2-cffi=20.1.0=py38h294d835_2
astroid=2.4.2=py38_0
async_generator=1.10=py_0
attrs=20.3.0=pyhd3deb0d_0
backcall=0.2.0=py_0
blas=1.0=mkl
bleach=3.2.1=pyh9f0ad1d_0
brotlipy=0.7.0=py38hab1e662_1001
ca-certificates=2020.10.14=0
certifi=2020.6.20=py38_0
cffi=1.14.4=py38hd8c33c5_0
chardet=3.0.4=py38h9bdc248_1008
colorama=0.4.4=py_0
cryptography=3.2.1=py38hd8c33c5_0
cudatoolkit=11.0.221=h74a9793_0
cycler=0.10.0=py38_0
decorator=4.4.2=py_0
defusedxml=0.6.0=py_0
entrypoints=0.3=pyhd8ed1ab_1003
freetype=2.10.4=hd328e21_0
gitdb=4.0.5=py_0
gitpython=3.1.11=py_0
hdf5=1.10.4=nompi_hcc15c50_1106
icc_rt=2019.0.0=h0cc432a_1
icu=58.2=ha925a31_3
idna=2.10=pyh9f0ad1d_0
importlib-metadata=3.1.0=pyhd8ed1ab_0
importlib_metadata=3.1.0=hd8ed1ab_0
intel-openmp=2020.2=254
ipykernel=5.3.4=py38h7b7c402_1
ipython=7.19.0=py38hd4e2768_0
ipython_genutils=0.2.0=py38_0
isort=5.6.4=py_0
jedi=0.17.2=py38_0
jinja2=2.11.2=pyh9f0ad1d_0
joblib=0.17.0=py_0
jpeg=9b=hb83a4c4_2
json5=0.9.5=pyh9f0ad1d_0
jsonschema=3.2.0=py_2
jupyter_client=6.1.7=py_0
jupyter_core=4.7.0=py38haa244fe_0
jupyterlab=2.2.9=py_0
jupyterlab-git=0.23.1=pyhd8ed1ab_0
jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
jupyterlab_server=1.2.0=py_0
jupyterthemes=0.20.0=py_1
kiwisolver=1.3.0=py38hd77b12b_0
lazy-object-proxy=1.4.3=py38he774522_0
lesscpy=0.13.0=py_1
libopencv=4.0.1=hbb9e17c_0
libpng=1.6.37=h2a8f88b_0
libsodium=1.0.18=h8d14728_1
libtiff=4.1.0=h56a325e_1
libuv=1.40.0=he774522_0
lz4-c=1.9.2=hf4a77e7_3
m2w64-gcc-libgfortran=5.3.0=6
m2w64-gcc-libs=5.3.0=7
m2w64-gcc-libs-core=5.3.0=7
m2w64-gmp=6.1.0=2
m2w64-libwinpthread-git=5.0.0.4634.697f757=2
markupsafe=1.1.1=py38hab1e662_2
matplotlib=3.3.2=0
matplotlib-base=3.3.2=py38hba9282a_0
mccabe=0.6.1=py38_1
mistune=0.8.4=py38h294d835_1002
mkl=2020.2=256
mkl-service=2.3.0=py38hb782905_0
mkl_fft=1.2.0=py38h45dec08_0
mkl_random=1.1.1=py38h47e9c7a_0
msys2-conda-epoch=20160418=1
nbclient=0.5.1=py_0
nbconvert=6.0.7=py38haa244fe_3
nbdime=2.1.0=py_0
nbformat=5.0.8=py_0
nest-asyncio=1.4.3=pyhd8ed1ab_0
ninja=1.10.1=py38h7ef1ec2_0
nodejs=15.2.1=h57928b3_1
notebook=6.1.5=py38haa244fe_0
numpy=1.19.2=py38hadc3359_0
numpy-base=1.19.2=py38ha3acd2a_0
olefile=0.46=py_0
opencv=4.0.1=py38h2a7c758_0
openssl=1.1.1h=he774522_0
packaging=20.4=pyh9f0ad1d_0
pandas=1.1.3=py38ha925a31_0
pandoc=2.11.2=h8ffe710_0
pandocfilters=1.4.2=py_1
parso=0.7.0=py_0
pexpect=4.8.0=pyh9f0ad1d_2
pickleshare=0.7.5=py38_1000
pillow=8.0.0=py38hca74424_0
pip=20.2.4=py38haa95532_0
ply=3.11=py_1
prometheus_client=0.9.0=pyhd3deb0d_0
prompt-toolkit=3.0.8=py_0
ptyprocess=0.6.0=py_1001
py-opencv=4.0.1=py38he44ac1e_0
pycparser=2.20=pyh9f0ad1d_2
pygments=2.7.1=py_0
pylint=2.6.0=py38_0
pyopenssl=19.1.0=py_1
pyparsing=2.4.7=py_0
pyqt=5.9.2=py38ha925a31_4
pyrsistent=0.17.3=py38h294d835_1
pysocks=1.7.1=py38h9bdc248_2
python=3.8.5=h5fd99cc_1
python-dateutil=2.8.1=py_0
python_abi=3.8=1_cp38
pytorch=1.7.0=py3.8_cuda110_cudnn8_0
pytz=2020.1=py_0
pywin32=228=py38h1e8a9f7_0
pywinpty=0.5.7=py38h32f6830_1
pyzmq=20.0.0=py38h7a0e47e_1
qt=5.9.7=vc14h73c81de_0
requests=2.25.0=pyhd3deb0d_0
scikit-learn=0.23.2=py38h47e9c7a_0
scipy=1.5.2=py38h14eb087_0
selenium=3.141.0=py38he774522_1000
send2trash=1.5.0=py_0
setuptools=50.3.1=py38haa95532_1
sip=4.19.13=py38ha925a31_0
six=1.15.0=py38haa95532_0
smmap=3.0.4=pyh9f0ad1d_0
sqlite=3.33.0=h2a8f88b_0
terminado=0.9.1=py38haa244fe_1
testpath=0.4.4=py_0
threadpoolctl=2.1.0=pyh5ca1d4c_0
tk=8.6.10=he774522_0
toml=0.10.1=py_0
torchaudio=0.7.0=py38
torchvision=0.8.1=py38_cu110