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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: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=4.5=1_gnu
anyio=3.3.0=py39hf3d152e_0
argon2-cffi=20.1.0=py39h3811e60_2
async_generator=1.10=py_0
attrs=21.2.0=pyhd8ed1ab_0
babel=2.9.1=pyh44b312d_0
backcall=0.2.0=pyh9f0ad1d_0
backports=1.0=py_2
backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
blas=1.0=mkl
bleach=4.1.0=pyhd8ed1ab_0
blosc=1.21.0=h8c45485_0
brotli=1.0.9=h7f98852_5
brotli-bin=1.0.9=h7f98852_5
brotlipy=0.7.0=py39h3811e60_1001
brunsli=0.1=h2531618_0
byol-pytorch=0.5.7=pypi_0
bzip2=1.0.8=h7b6447c_0
c-ares=1.17.1=h27cfd23_0
ca-certificates=2021.5.30=ha878542_0
cairocffi=1.2.0=pypi_0
cairosvg=2.5.2=pypi_0
certifi=2021.5.30=py39hf3d152e_0
cffi=1.14.6=py39he32792d_0
cfitsio=3.470=hf0d0db6_6
chardet=4.0.0=py39hf3d152e_1
charls=2.2.0=h2531618_0
charset-normalizer=2.0.0=pyhd8ed1ab_0
cloudpickle=1.6.0=pyhd3eb1b0_0
cryptography=3.4.7=py39hbca0aa6_0
cssselect2=0.4.1=pypi_0
cudatoolkit=11.1.74=h6bb024c_0
cycler=0.10.0=py_2
cytoolz=0.11.0=py39h27cfd23_0
dask-core=2021.8.1=pyhd3eb1b0_0
dbus=1.13.6=he372182_0
debugpy=1.4.1=py39he80948d_0
decorator=5.1.0=pyhd8ed1ab_0
defusedxml=0.7.1=pyhd8ed1ab_0
entrypoints=0.3=pyhd8ed1ab_1003
expat=2.4.1=h9c3ff4c_0
ffmpeg=4.3=hf484d3e_0
fontconfig=2.13.1=hba837de_1005
fonttools=4.25.0=pyhd3eb1b0_0
freetype=2.10.4=h5ab3b9f_0
fsspec=2021.7.0=pyhd3eb1b0_0
giflib=5.1.4=h14c3975_1
glib=2.69.1=h5202010_0
gmp=6.2.1=h2531618_2
gnutls=3.6.15=he1e5248_0
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=h28cd5cc_2
icu=58.2=hf484d3e_1000
idna=3.1=pyhd3deb0d_0
imagecodecs=2021.6.8=py39h581e88b_0
imageio=2.9.0=pyhd3eb1b0_0
importlib-metadata=4.8.1=py39hf3d152e_0
intel-openmp=2021.3.0=h06a4308_3350
ipykernel=6.4.1=py39hef51801_0
ipython=7.27.0=py39hef51801_0
ipython_genutils=0.2.0=py_1
jedi=0.18.0=py39hf3d152e_2
jinja2=3.0.1=pyhd8ed1ab_0
joblib=1.0.1=pyhd8ed1ab_0
jpeg=9b=h024ee3a_2
json5=0.9.5=pyh9f0ad1d_0
jsonschema=3.2.0=pyhd8ed1ab_3
jupyter_client=7.0.3=pyhd8ed1ab_0
jupyter_core=4.8.1=py39hf3d152e_0
jupyter_server=1.11.0=pyhd8ed1ab_0
jupyterlab=3.1.13=pyhd8ed1ab_0
jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
jupyterlab_server=2.8.1=pyhd8ed1ab_0
jxrlib=1.1=h7b6447c_2
kiwisolver=1.3.1=py39h2531618_0
krb5=1.19.2=hac12032_0
lame=3.100=h7b6447c_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.35.1=h7274673_9
lerc=2.2.1=h2531618_0
libaec=1.0.4=he6710b0_1
libblas=3.9.0=11_linux64_mkl
libbrotlicommon=1.0.9=h7f98852_5
libbrotlidec=1.0.9=h7f98852_5
libbrotlienc=1.0.9=h7f98852_5
libcblas=3.9.0=11_linux64_mkl
libcurl=7.78.0=h0b77cf5_0
libdeflate=1.7=h27cfd23_5
libedit=3.1.20210714=h7f8727e_0
libev=4.33=h7b6447c_0
libffi=3.3=he6710b0_2
libgcc-ng=9.3.0=h5101ec6_17
libgfortran-ng=7.5.0=ha8ba4b0_17
libgfortran4=7.5.0=ha8ba4b0_17
libgomp=9.3.0=h5101ec6_17
libiconv=1.15=h63c8f33_5
libidn2=2.3.2=h7f8727e_0
liblapack=3.9.0=11_linux64_mkl
libnghttp2=1.41.0=hf8bcb03_2
libpng=1.6.37=hbc83047_0
libsodium=1.0.18=h36c2ea0_1
libssh2=1.9.0=h1ba5d50_1
libstdcxx-ng=9.3.0=hd4cf53a_17
libtasn1=4.16.0=h27cfd23_0
libtiff=4.1.0=h2733197_1
libunistring=0.9.10=h27cfd23_0
libuuid=2.32.1=h7f98852_1000
libuv=1.40.0=h7b6447c_0
libwebp=1.0.1=h8e7db2f_0
libxcb=1.13=h7f98852_1003
libxml2=2.9.12=h03d6c58_0
libzopfli=1.0.3=he6710b0_0
locket=0.2.1=py39h06a4308_1
lz4-c=1.9.3=h295c915_1
markupsafe=2.0.1=py39h3811e60_0
matplotlib=3.4.2=py39hf3d152e_0
matplotlib-base=3.4.2=py39hab158f2_0
matplotlib-inline=0.1.3=pyhd8ed1ab_0
mistune=0.8.4=py39h3811e60_1004
mkl=2021.3.0=h06a4308_520
mkl-service=2.4.0=py39h7f8727e_0
mkl_fft=1.3.0=py39h42c9631_2
mkl_random=1.2.2=py39h51133e4_0
munkres=1.1.4=pyh9f0ad1d_0
nbclassic=0.3.2=pyhd8ed1ab_0
nbclient=0.5.4=pyhd8ed1ab_0
nbconvert=6.1.0=py39hf3d152e_1
nbformat=5.1.3=pyhd8ed1ab_0
ncurses=6.2=he6710b0_1
nest-asyncio=1.5.1=pyhd8ed1ab_0
nettle=3.7.3=hbbd107a_1
networkx=2.6.2=pyhd3eb1b0_0
ninja=1.10.2=hff7bd54_1
notebook=6.4.4=pyha770c72_0
numpy=1.20.3=py39hf144106_0
numpy-base=1.20.3=py39h74d4b33_0
olefile=0.46=pyhd3eb1b0_0
openh264=2.1.0=hd408876_0
openjpeg=2.4.0=h3ad879b_0
openssl=1.1.1l=h7f8727e_0
packaging=21.0=pyhd3eb1b0_0
pandoc=2.14.2=h7f98852_0
pandocfilters=1.5.0=pyhd8ed1ab_0
parso=0.8.2=pyhd8ed1ab_0
partd=1.2.0=pyhd3eb1b0_0
pcre=8.45=h9c3ff4c_0
pexpect=4.8.0=pyh9f0ad1d_2
pickleshare=0.7.5=py_1003
pillow=8.3.1=py39h2c7a002_0
pip=21.2.4=py37h06a4308_0
prometheus_client=0.11.0=pyhd8ed1ab_0
prompt-toolkit=3.0.20=pyha770c72_0
pthread-stubs=0.4=h36c2ea0_1001
ptyprocess=0.7.0=pyhd3deb0d_0
pycparser=2.20=pyh9f0ad1d_2
pygments=2.10.0=pyhd8ed1ab_0
pyopenssl=20.0.1=pyhd8ed1ab_0
pyparsing=2.4.7=pyh9f0ad1d_0
pyqt=5.9.2=py39h2531618_6
pyrsistent=0.17.3=py39h3811e60_2
pysocks=1.7.1=py39hf3d152e_3
python=3.9.7=h12debd9_1
python-dateutil=2.8.2=pyhd8ed1ab_0
python_abi=3.9=2_cp39
pytorch=1.9.1=py3.9_cuda11.1_cudnn8.0.5_0
pytz=2021.1=pyhd8ed1ab_0
pywavelets=1.1.1=py39h6323ea4_4
pyyaml=5.4.1=py39h27cfd23_1
pyzmq=19.0.2=py39hb69f2a1_2
qt=5.9.7=h5867ecd_1
readline=8.1=h27cfd23_0
requests=2.26.0=pyhd8ed1ab_0
requests-unixsocket=0.2.0=py_0
scikit-image=0.18.1=py39ha9443f7_0
scikit-learn=0.24.2=py39h4dfa638_0
scipy=1.7.1=py39h292c36d_2
send2trash=1.8.0=pyhd8ed1ab_0
setuptools=58.0.4=py39h06a4308_0
sip=4.19.13=py39h2531618_0
six=1.16.0=pyhd3eb1b0_0
snappy=1.1.8=he6710b0_0
sniffio=1.2.0=py39hf3d152e_1
sqlite=3.36.0=hc218d9a_0
terminado=0.12.1=py39hf3d152e_0
testpath=0.5.0=pyhd8ed1ab_0
threadpoolctl=2.2.0=pyh8a188c0_0
tifffile=2021.7.2=pyhd3eb1b0_2
tinycss2=1.1.0=pypi_0
tk=8.6.10=hbc83047_0
toolz=0.11.1=pyhd3eb1b0_0
torchaudio=0.9.1=py39
torchvision=0.10.1=py39_cu111
tornado=6.1=py39h3811e60_1
traitlets=5.1.0=pyhd8ed1ab_0
typing_extensions=3.10.0.2=pyh06a4308_0
tzdata=2021a=h5d7bf9c_0
urllib3=1.26.6=pyhd8ed1ab_0
wcwidth=0.2.5=pyh9f0ad1d_2
webencodings=0.5.1=py_1
websocket-client=0.57.0=py39hf3d152e_4
wheel=0.37.0=pyhd3eb1b0_1
xorg-libxau=1.0.9=h7f98852_0
xorg-libxdmcp=1.1.3=h7f98852_0
xz=5.2.5=h7b6447c_0
yaml=0.2.5=h7b6447c_0
zeromq=4.3.4=h9c3ff4c_0
zfp=0.5.5=h2531618_6
zipp=3.5.0=pyhd8ed1ab_0
zlib=1.2.11=h7b6447c_3
zstd=1.4.9=haebb681_0