# 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=5.1=1_gnu
absl-py=2.2.2=pypi_0
ace-tools=0.0=pypi_0
art=6.5=pypi_0
beautifulsoup4=4.13.4=pypi_0
blas=1.0=mkl
brotli-python=1.0.9=py311h6a678d5_9
bzip2=1.0.8=h5eee18b_6
ca-certificates=2025.7.15=h06a4308_0
certifi=2025.8.3=py311h06a4308_0
charset-normalizer=3.3.2=pyhd3eb1b0_0
contourpy=1.3.2=pypi_0
cuda-cudart=12.1.105=0
cuda-cupti=12.1.105=0
cuda-libraries=12.1.0=0
cuda-nvrtc=12.1.105=0
cuda-nvtx=12.1.105=0
cuda-opencl=12.9.19=0
cuda-runtime=12.1.0=0
cuda-version=12.9=3
cycler=0.12.1=pypi_0
ffmpeg=4.3=hf484d3e_0
filelock=3.17.0=py311h06a4308_0
fonttools=4.58.0=pypi_0
freetype=2.13.3=h4a9f257_0
fsspec=2025.3.2=pypi_0
gdown=5.2.0=pypi_0
gmp=6.3.0=h6a678d5_0
gmpy2=2.2.1=py311h5eee18b_0
gnutls=3.6.15=he1e5248_0
googledrivedownloader=0.4=pypi_0
grpcio=1.71.0=pypi_0
huggingface-hub=0.23.5=pypi_0
idna=3.7=py311h06a4308_0
intel-openmp=2023.1.0=hdb19cb5_46306
jinja2=3.1.6=py311h06a4308_0
joblib=1.5.0=pypi_0
jpeg=9e=h5eee18b_3
kiwisolver=1.4.8=pypi_0
kornia=0.8.1=pypi_0
kornia-rs=0.1.9=pypi_0
lame=3.100=h7b6447c_0
lcms2=2.16=h92b89f2_1
ld_impl_linux-64=2.40=h12ee557_0
lerc=4.0.0=h6a678d5_0
libcublas=12.1.0.26=0
libcufft=11.0.2.4=0
libcufile=1.14.0.30=4
libcurand=10.3.10.19=0
libcusolver=11.4.4.55=0
libcusparse=12.0.2.55=0
libdeflate=1.22=h5eee18b_0
libffi=3.4.4=h6a678d5_1
libgcc-ng=11.2.0=h1234567_1
libgomp=11.2.0=h1234567_1
libiconv=1.16=h5eee18b_3
libidn2=2.3.4=h5eee18b_0
libjpeg-turbo=2.0.0=h9bf148f_0
libnpp=12.0.2.50=0
libnvjitlink=12.1.105=0
libnvjpeg=12.1.1.14=0
libpng=1.6.39=h5eee18b_0
libstdcxx-ng=11.2.0=h1234567_1
libtasn1=4.19.0=h5eee18b_0
libtiff=4.7.0=hde9077f_0
libunistring=0.9.10=h27cfd23_0
libuuid=1.41.5=h5eee18b_0
libwebp-base=1.3.2=h5eee18b_1
lightning-utilities=0.11.9=py311h06a4308_0
llvm-openmp=14.0.6=h9e868ea_0
lz4-c=1.9.4=h6a678d5_1
markdown=3.8=pypi_0
markupsafe=3.0.2=py311h5eee18b_0
matplotlib=3.8.4=pypi_0
mkl=2023.1.0=h213fc3f_46344
mkl-service=2.4.0=py311h5eee18b_2
mkl_fft=1.3.11=py311h5eee18b_0
mkl_random=1.2.8=py311ha02d727_0
mpc=1.3.1=h5eee18b_0
mpfr=4.2.1=h5eee18b_0
mpmath=1.3.0=py311h06a4308_0
ncurses=6.4=h6a678d5_0
nettle=3.7.3=hbbd107a_1
networkx=3.4.2=py311h06a4308_0
numpy=1.26.4=py311h08b1b3b_0
numpy-base=1.26.4=py311hf175353_0
ocl-icd=2.3.2=h5eee18b_1
opencv-python=4.9.0.80=pypi_0
openh264=2.1.1=h4ff587b_0
openjpeg=2.5.2=h0d4d230_1
openssl=1.1.1w=h7f8727e_0
packaging=25.0=py311h06a4308_0
pandas=2.2.3=pypi_0
pillow=10.2.0=pypi_0
pip=25.1=pyhc872135_2
protobuf=6.31.0=pypi_0
psutil=7.0.0=pypi_0
pycm=4.3=pypi_0
pyparsing=3.2.3=pypi_0
pysocks=1.7.1=py311h06a4308_0
python=3.11.0=h7a1cb2a_3
python-dateutil=2.9.0.post0=pypi_0
pytorch=2.3.1=py3.11_cuda12.1_cudnn8.9.2_0
pytorch-cuda=12.1=ha16c6d3_6
pytorch-mutex=1.0=cuda
pytz=2025.2=pypi_0
pyyaml=6.0.2=py311h5eee18b_0
readline=8.2=h5eee18b_0
requests=2.32.3=py311h06a4308_1
safetensors=0.5.3=pypi_0
scikit-learn=1.4.2=pypi_0
scikit-multilearn=0.2.0=pypi_0
scipy=1.15.3=pypi_0
seaborn=0.13.2=pypi_0
setuptools=78.1.1=py311h06a4308_0
six=1.17.0=pypi_0
soupsieve=2.7=pypi_0
sqlite=3.45.3=h5eee18b_0
sympy=1.13.3=py311h06a4308_1
tbb=2021.8.0=hdb19cb5_0
tensorboard=2.17.1=pypi_0
tensorboard-data-server=0.7.2=pypi_0
threadpoolctl=3.6.0=pypi_0
timm=0.9.16=pypi_0
tk=8.6.14=h39e8969_0
torchaudio=2.3.1=py311_cu121
torchmetrics=1.4.0.post0=py311h06a4308_0
torchtriton=2.3.1=py311
torchvision=0.18.1=py311_cu121
tqdm=4.67.1=pypi_0
typing_extensions=4.12.2=py311h06a4308_0
tzdata=2025.2=pypi_0
urllib3=2.3.0=py311h06a4308_0
werkzeug=3.1.3=pypi_0
wheel=0.45.1=py311h06a4308_0
xz=5.6.4=h5eee18b_1
yaml=0.2.5=h7b6447c_0
zlib=1.2.13=h5eee18b_1
zstd=1.5.6=hc292b87_0
