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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
absl-py=1.0.0=pyhd8ed1ab_0
aiohttp=3.8.1=py38h7f8727e_0
aiosignal=1.2.0=pyhd8ed1ab_0
albumentations=0.4.6=pypi_0
albumentations-experimental=0.0.1=pypi_0
argon2-cffi=20.1.0=pypi_0
async-generator=1.10=pypi_0
async-timeout=4.0.1=pyhd8ed1ab_0
attrs=21.2.0=pyhd8ed1ab_0
backcall=0.2.0=pyhd3eb1b0_0
blas=1.0=mkl
bleach=3.3.0=pyh44b312d_0
blinker=1.4=py_1
brotlipy=0.7.0=py38h8df0ef7_1001
bzip2=1.0.8=h516909a_3
c-ares=1.17.1=h27cfd23_0
ca-certificates=2022.9.24=ha878542_0
cachetools=4.2.4=pyhd8ed1ab_0
cairo=1.16.0=h3fc0475_1005
certifi=2022.9.24=pyhd8ed1ab_0
cffi=1.14.5=pypi_0
charset-normalizer=2.0.8=pyhd8ed1ab_0
click=8.0.3=py38h578d9bd_1
cloudpickle=1.6.0=py_0
cmake=3.27.2=pypi_0
contextlib2=21.6.0=pypi_0
cryptography=3.4.8=py38ha5dfef3_0
cudatoolkit=10.1.243=h6bb024c_0
cycler=0.10.0=py_2
cytoolz=0.11.0=py38h25fe258_1
dask-core=2021.5.1=pyhd8ed1ab_0
dataclasses=0.8=pyhc8e2a94_3
dbus=1.13.6=he372182_0
decorator=5.0.9=pyhd8ed1ab_0
defusedxml=0.7.1=pyhd8ed1ab_0
efficientnet-pytorch=0.6.3=pypi_0
einops=0.4.1=pypi_0
entrypoints=0.3=pyhd8ed1ab_1003
enum34=1.1.10=py38h32f6830_2
expat=2.2.9=he1b5a44_2
ffmpeg=4.3.1=h3215721_1
filelock=3.12.2=pypi_0
fontconfig=2.13.1=h7e3eb15_1002
freetype=2.10.4=h5ab3b9f_0
frozenlist=1.2.0=py38h7f8727e_0
fsspec=2021.5.0=pyhd8ed1ab_0
future=0.18.2=pypi_0
gettext=0.19.8.1=hf34092f_1004
glib=2.66.1=h680cd38_0
gmp=6.2.1=h58526e2_0
gnutls=3.6.13=h85f3911_1
google-auth=2.3.3=pyh6c4a22f_0
google-auth-oauthlib=0.4.6=pyhd8ed1ab_0
graphite2=1.3.13=h58526e2_1001
grpcio=1.42.0=py38hce63b2e_0
gst-plugins-base=1.14.5=h0935bb2_2
gstreamer=1.14.5=h36ae1b5_2
gym=0.26.2=pypi_0
gym-notices=0.0.8=pypi_0
h5py=3.2.1=pypi_0
harfbuzz=2.7.2=hee91db6_0
hdf5=1.10.6=nompi_h3c11f04_101
icu=67.1=he1b5a44_0
idna=3.1=pyhd3deb0d_0
imagecodecs-lite=2019.12.3=py38hab2c0dc_3
imageio=2.22.2=pypi_0
imgaug=0.4.0=pypi_0
importlib-metadata=6.8.0=pypi_0
install=1.3.5=pypi_0
intel-openmp=2021.2.0=h06a4308_610
ipykernel=5.3.4=py38h5ca1d4c_0
ipython=7.22.0=py38hb070fc8_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
ipywidgets=7.6.3=pyhd3deb0d_0
jasper=1.900.1=h07fcdf6_1006
jedi=0.17.0=py38_0
jinja2=3.0.1=pypi_0
joblib=1.0.1=pyhd8ed1ab_0
jpeg=9d=h36c2ea0_0
jsonschema=3.2.0=pyhd8ed1ab_3
jupyter=1.0.0=pypi_0
jupyter-client=7.3.1=pypi_0
jupyter-console=6.4.3=pypi_0
jupyter-core=4.10.0=pypi_0
jupyterlab-pygments=0.1.2=pypi_0
jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
kiwisolver=1.3.1=py38h82cb98a_0
krb5=1.17.2=h926e7f8_0
lame=3.100=h14c3975_1001
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.33.1=h53a641e_7
libblas=3.9.0=9_mkl
libcblas=3.9.0=9_mkl
libclang=10.0.1=default_hde54327_1
libedit=3.1.20191231=he28a2e2_2
libevent=2.1.10=hcdb4288_3
libffi=3.2.1=he1b5a44_1007
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.5.0=h14aa051_19
libgfortran4=7.5.0=h14aa051_19
libiconv=1.16=h516909a_0
liblapack=3.9.0=9_mkl
liblapacke=3.9.0=9_mkl
libllvm10=10.0.1=he513fc3_3
libopencv=4.5.0=py38_3
libpng=1.6.37=hbc83047_0
libpq=12.3=h255efa7_3
libprotobuf=3.17.2=h4ff587b_1
libsodium=1.0.18=h7b6447c_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.2.0=h85742a9_0
libuuid=2.32.1=h14c3975_1000
libwebp-base=1.2.0=h27cfd23_0
libxcb=1.13=h14c3975_1002
libxkbcommon=0.10.0=he1b5a44_0
libxml2=2.9.10=h68273f3_2
lit=16.0.6=pypi_0
locket=0.2.0=py_2
lz4-c=1.9.3=h2531618_0
markdown=3.3.6=pyhd8ed1ab_0
markupsafe=2.0.1=pypi_0
matplotlib-base=3.3.3=py38h5c7f4ab_0
medpy=0.4.0=pypi_0
mistune=0.8.4=py38h25fe258_1002
mkl=2021.2.0=h06a4308_296
mkl-service=2.3.0=py38h27cfd23_1
mkl_fft=1.3.0=py38h42c9631_2
mkl_random=1.2.1=py38ha9443f7_2
ml-collections=0.1.1=pypi_0
mpmath=1.3.0=pypi_0
multidict=5.1.0=py38h27cfd23_2
munch=2.5.0=pypi_0
mysql-common=8.0.21=2
mysql-libs=8.0.21=hf3661c5_2
nbclient=0.5.3=pypi_0
nbconvert=6.0.7=pypi_0
nbformat=5.1.3=pyhd8ed1ab_0
ncurses=6.2=he6710b0_1
nest-asyncio=1.5.5=pypi_0
nettle=3.6=he412f7d_0
networkx=2.8.7=pypi_0
ninja=1.10.2=hff7bd54_1
notebook=6.4.0=pypi_0
nspr=4.29=he1b5a44_1
nss=3.59=h2c00c37_0
numpy=1.23.4=pypi_0
nvidia-cublas-cu11=11.10.3.66=pypi_0
nvidia-cuda-cupti-cu11=11.7.101=pypi_0
nvidia-cuda-nvrtc-cu11=11.7.99=pypi_0
nvidia-cuda-runtime-cu11=11.7.99=pypi_0
nvidia-cudnn-cu11=8.5.0.96=pypi_0
nvidia-cufft-cu11=10.9.0.58=pypi_0
nvidia-curand-cu11=10.2.10.91=pypi_0
nvidia-cusolver-cu11=11.4.0.1=pypi_0
nvidia-cusparse-cu11=11.7.4.91=pypi_0
nvidia-nccl-cu11=2.14.3=pypi_0
nvidia-nvtx-cu11=11.7.91=pypi_0
oauthlib=3.1.1=pyhd8ed1ab_0
olefile=0.46=py_0
opencv=4.5.0=py38_3
opencv-python=4.5.2.52=pypi_0
opencv-python-headless=4.5.2.52=pypi_0
openh264=2.1.1=h8b12597_0
openssl=1.1.1q=h7f8727e_0
packaging=21.3=pypi_0
pandas=1.1.4=py38h0ef3d22_0
pandoc=2.14=h7f98852_0
pandocfilters=1.4.3=pypi_0
parso=0.8.2=pyhd3eb1b0_0
partd=1.2.0=pyhd8ed1ab_0
pathlib=1.0.1=py38h578d9bd_4
pcre=8.44=he1b5a44_0
pexpect=4.8.0=pyhd3eb1b0_3
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=9.2.0=pypi_0
pip=21.1.1=py38h06a4308_0
pixman=0.38.0=h516909a_1003
pretrainedmodels=0.7.4=pypi_0
prometheus_client=0.10.1=pyhd8ed1ab_0
prompt-toolkit=3.0.17=pyh06a4308_0
protobuf=3.17.1=pypi_0
pthread-stubs=0.4=h36c2ea0_1001
ptyprocess=0.7.0=pyhd3eb1b0_2
py-opencv=4.5.0=py38h81c977d_3
pyasn1=0.4.8=py_0
pyasn1-modules=0.2.7=py_0
pycparser=2.20=pypi_0
pygments=2.9.0=pyhd3eb1b0_0
pyjwt=2.3.0=pyhd8ed1ab_0
pyopenssl=21.0.0=pyhd8ed1ab_0
pyparsing=3.0.9=pypi_0
pyrsistent=0.17.3=py38h25fe258_1
pysocks=1.7.1=py38h578d9bd_4
python=3.8.3=cpython_he5300dc_0
python-dateutil=2.8.2=pypi_0
python_abi=3.8=1_cp38
pytz=2021.1=pyhd8ed1ab_0
pyu2f=0.1.5=pyhd8ed1ab_0
pywavelets=1.4.1=pypi_0
pyyaml=5.3.1=py38h8df0ef7_1
pyzmq=22.3.0=pypi_0
qt=5.12.9=h1f2b2cb_0
qtconsole=5.3.0=pypi_0
qtpy=2.1.0=pypi_0
qudida=0.0.4=pyhd8ed1ab_0
readline=8.1=h27cfd23_0
requests=2.26.0=pyhd8ed1ab_1
requests-oauthlib=1.3.0=pyh9f0ad1d_0
rsa=4.8=pyhd8ed1ab_0
scikit-image=0.19.3=pypi_0
scikit-learn=0.23.2=py38h5d63f67_3
scipy=1.9.3=pypi_0
seaborn=0.11.1=pypi_0
segmentation-models-pytorch=0.1.3=pypi_0
send2trash=1.5.0=py_0
setuptools=52.0.0=py38h06a4308_0
shapely=1.7.1=pypi_0
simpleitk=2.0.2=pypi_0
six=1.15.0=py38h06a4308_0
sqlite=3.35.4=hdfb4753_0
sympy=1.12=pypi_0
tabulate=0.8.10=pypi_0
tensorboard=2.7.0=pyhd8ed1ab_0
tensorboard-data-server=0.6.0=py38hca6d32c_0
tensorboard-plugin-wit=1.8.0=pyh44b312d_0
tensorboardx=2.2=pypi_0
terminado=0.10.0=py38h578d9bd_0
testpath=0.5.0=pyhd8ed1ab_0
threadpoolctl=2.1.0=pyh5ca1d4c_0
tifffile=2022.10.10=pypi_0
timm=0.3.2=pypi_0
tk=8.6.10=hbc83047_0
toolz=0.11.1=py_0
torch=2.0.1=pypi_0
torch-summary=1.4.5=pypi_0
torch-tb-profiler=0.3.1=pypi_0
torchinfo=1.6.3=pypi_0
torchvision=0.15.2=pypi_0
tornado=6.1=py38h25fe258_0
tqdm=4.61.0=pyhd8ed1ab_0
traitlets=5.0.5=pyhd3eb1b0_0
triton=2.0.0=pypi_0
typing-extensions=4.0.1=hd8ed1ab_0
typing_extensions=4.0.1=pyha770c72_0
urllib3=1.26.7=pyhd8ed1ab_0
wcwidth=0.2.5=py_0
webencodings=0.5.1=pypi_0
werkzeug=2.0.1=pyhd8ed1ab_0
wheel=0.36.2=pyhd3eb1b0_0
widgetsnbextension=3.5.1=py38h578d9bd_4
x264=1!152.20180806=h14c3975_0
xorg-kbproto=1.0.7=h14c3975_1002
xorg-libice=1.0.10=h516909a_0
xorg-libsm=1.2.3=h84519dc_1000
xorg-libx11=1.6.12=h36c2ea0_0
xorg-libxau=1.0.9=h14c3975_0
xorg-libxdmcp=1.1.3=h516909a_0
xorg-libxext=1.3.4=h516909a_0
xorg-libxrender=0.9.10=h516909a_1002
xorg-renderproto=0.11.1=h14c3975_1002
xorg-xextproto=7.3.0=h14c3975_1002
xorg-xproto=7.0.31=h14c3975_1007
xz=5.2.5=h7b6447c_0
yaml=0.2.5=h516909a_0
yarl=1.6.3=py38h25fe258_0
zeromq=4.3.4=h2531618_0
zipp=3.4.1=pyhd8ed1ab_0
zlib=1.2.11=h7b6447c_3
zstd=1.4.9=haebb681_0