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rednet.yaml
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rednet.yaml
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name: rednet
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- absl-py=1.3.0=py310h06a4308_0
- aiohttp=3.8.3=py310h5eee18b_0
- aiosignal=1.2.0=pyhd3eb1b0_0
- asttokens=2.2.1=pyhd8ed1ab_0
- async-timeout=4.0.2=py310h06a4308_0
- attrs=22.1.0=py310h06a4308_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=pyhd8ed1ab_3
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- blas=1.0=mkl
- blinker=1.4=py310h06a4308_0
- bottleneck=1.3.5=py310ha9d4c09_0
- brotli=1.0.9=h5eee18b_7
- brotli-bin=1.0.9=h5eee18b_7
- brotlipy=0.7.0=py310h7f8727e_1002
- bzip2=1.0.8=h7b6447c_0
- c-ares=1.19.0=h5eee18b_0
- ca-certificates=2023.01.10=h06a4308_0
- cachetools=4.2.2=pyhd3eb1b0_0
- certifi=2023.5.7=py310h06a4308_0
- cffi=1.15.1=py310h74dc2b5_0
- chardet=4.0.0=py310h06a4308_1003
- click=8.0.4=py310h06a4308_0
- contourpy=1.0.5=py310hdb19cb5_0
- cryptography=39.0.1=py310h9ce1e76_0
- cudatoolkit=11.3.1=h2bc3f7f_2
- cycler=0.11.0=pyhd3eb1b0_0
- dbus=1.13.18=hb2f20db_0
- debugpy=1.5.1=py310h295c915_0
- decorator=5.1.1=pyhd8ed1ab_0
- entrypoints=0.4=pyhd8ed1ab_0
- executing=1.2.0=pyhd8ed1ab_0
- expat=2.4.9=h6a678d5_0
- ffmpeg=4.3=hf484d3e_0
- flit-core=3.8.0=py310h06a4308_0
- fontconfig=2.14.1=h4c34cd2_2
- fonttools=4.25.0=pyhd3eb1b0_0
- freetype=2.12.1=h4a9f257_0
- frozenlist=1.3.3=py310h5eee18b_0
- giflib=5.2.1=h5eee18b_3
- glib=2.69.1=h4ff587b_1
- gmp=6.2.1=h295c915_3
- gnutls=3.6.15=he1e5248_0
- google-auth=2.6.0=pyhd3eb1b0_0
- google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
- grpcio=1.42.0=py310hce63b2e_0
- gst-plugins-base=1.14.1=h6a678d5_1
- gstreamer=1.14.1=h5eee18b_1
- icu=58.2=he6710b0_3
- idna=3.4=py310h06a4308_0
- intel-openmp=2021.4.0=h06a4308_3561
- ipykernel=6.15.0=pyh210e3f2_0
- ipython=8.13.2=pyh41d4057_0
- jedi=0.18.2=pyhd8ed1ab_0
- jpeg=9e=h5eee18b_1
- jupyter_client=7.3.4=pyhd8ed1ab_0
- jupyter_core=4.12.0=py310hff52083_0
- kiwisolver=1.4.4=py310h6a678d5_0
- krb5=1.19.4=h568e23c_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
- libbrotlicommon=1.0.9=h5eee18b_7
- libbrotlidec=1.0.9=h5eee18b_7
- libbrotlienc=1.0.9=h5eee18b_7
- libclang=14.0.6=default_hc6dbbc7_1
- libclang13=14.0.6=default_he11475f_1
- libdeflate=1.17=h5eee18b_0
- libedit=3.1.20221030=h5eee18b_0
- libevent=2.1.12=h8f2d780_0
- libffi=3.3=he6710b0_2
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.2=h7f8727e_0
- libllvm14=14.0.6=hef93074_0
- libpng=1.6.39=h5eee18b_0
- libpq=12.9=h16c4e8d_3
- libprotobuf=3.20.3=he621ea3_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.19.0=h5eee18b_0
- libtiff=4.5.0=h6a678d5_2
- libunistring=0.9.10=h27cfd23_0
- libuuid=1.41.5=h5eee18b_0
- libwebp=1.2.4=h11a3e52_1
- libwebp-base=1.2.4=h5eee18b_1
- libxcb=1.15=h7f8727e_0
- libxkbcommon=1.0.1=h5eee18b_1
- libxml2=2.10.3=hcbfbd50_0
- libxslt=1.1.37=h2085143_0
- lz4-c=1.9.4=h6a678d5_0
- markdown=3.4.1=py310h06a4308_0
- matplotlib=3.7.1=py310h06a4308_1
- matplotlib-base=3.7.1=py310h1128e8f_1
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py310h7f8727e_0
- mkl_fft=1.3.1=py310hd6ae3a3_0
- mkl_random=1.2.2=py310h00e6091_0
- multidict=6.0.2=py310h5eee18b_0
- munkres=1.1.4=py_0
- ncurses=6.4=h6a678d5_0
- nest-asyncio=1.5.6=pyhd8ed1ab_0
- nettle=3.7.3=hbbd107a_1
- nspr=4.33=h295c915_0
- nss=3.74=h0370c37_0
- numexpr=2.8.4=py310h8879344_0
- numpy-base=1.23.5=py310h8e6c178_0
- oauthlib=3.2.2=py310h06a4308_0
- openh264=2.1.1=h4ff587b_0
- openssl=1.1.1t=h7f8727e_0
- pandas=1.5.3=py310h1128e8f_0
- parso=0.8.3=pyhd8ed1ab_0
- pcre=8.45=h295c915_0
- pexpect=4.8.0=pyh1a96a4e_2
- pickleshare=0.7.5=py_1003
- pip=23.0.1=py310h06a4308_0
- ply=3.11=py310h06a4308_0
- prompt-toolkit=3.0.38=pyha770c72_0
- prompt_toolkit=3.0.38=hd8ed1ab_0
- protobuf=3.20.3=py310h6a678d5_0
- psutil=5.9.0=py310h5eee18b_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pyasn1=0.4.8=pyhd3eb1b0_0
- pyasn1-modules=0.2.8=py_0
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.15.1=pyhd8ed1ab_0
- pyjwt=2.4.0=py310h06a4308_0
- pyopenssl=23.0.0=py310h06a4308_0
- pyparsing=3.0.9=py310h06a4308_0
- pyqt=5.15.7=py310h6a678d5_1
- pysocks=1.7.1=py310h06a4308_0
- python=3.10.0=h12debd9_5
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python_abi=3.10=2_cp310
- pytorch=1.12.1=py3.10_cuda11.3_cudnn8.3.2_0
- pytorch-mutex=1.0=cuda
- pytz=2022.7=py310h06a4308_0
- pyzmq=25.0.2=py310h6a678d5_0
- qt-main=5.15.2=h8373d8f_8
- qt-webengine=5.15.9=hbbf29b9_6
- qtwebkit=5.212=h3fafdc1_5
- readline=8.2=h5eee18b_0
- requests-oauthlib=1.3.0=py_0
- rsa=4.7.2=pyhd3eb1b0_1
- setuptools=66.0.0=py310h06a4308_0
- sip=6.6.2=py310h6a678d5_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.41.2=h5eee18b_0
- stack_data=0.6.2=pyhd8ed1ab_0
- tensorboard=2.11.0=py310h06a4308_0
- tensorboard-data-server=0.6.1=py310h52d8a92_0
- tensorboard-plugin-wit=1.8.1=py310h06a4308_0
- tk=8.6.12=h1ccaba5_0
- toml=0.10.2=pyhd3eb1b0_0
- torchaudio=0.12.1=py310_cu113
- tornado=6.1=py310h5764c6d_3
- traitlets=5.9.0=pyhd8ed1ab_0
- typing_extensions=4.4.0=py310h06a4308_0
- tzdata=2023c=h04d1e81_0
- urllib3=1.26.15=py310h06a4308_0
- wcwidth=0.2.6=pyhd8ed1ab_0
- werkzeug=2.2.3=py310h06a4308_0
- wheel=0.38.4=py310h06a4308_0
- xz=5.2.10=h5eee18b_1
- yarl=1.8.1=py310h5eee18b_0
- zeromq=4.3.4=h9c3ff4c_1
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.5=hc292b87_0
- pip:
- albumentations==1.3.0
- charset-normalizer==3.1.0
- cmake==3.26.3
- dataclasses==0.6
- efficientnet-pytorch==0.7.1
- filelock==3.12.0
- huggingface-hub==0.13.4
- ignite==1.1.0
- imageio==2.27.0
- jinja2==3.1.2
- joblib==1.2.0
- lazy-loader==0.2
- lit==16.0.1
- markupsafe==2.1.2
- mpmath==1.3.0
- munch==2.5.0
- networkx==3.1
- numpy==1.24.2
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-cupti-cu11==11.7.101
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- nvidia-cufft-cu11==10.9.0.58
- nvidia-curand-cu11==10.2.10.91
- nvidia-cusolver-cu11==11.4.0.1
- nvidia-cusparse-cu11==11.7.4.91
- nvidia-nccl-cu11==2.14.3
- nvidia-nvtx-cu11==11.7.91
- opencv-python==4.7.0.72
- opencv-python-headless==4.7.0.72
- oyaml==1.0
- packaging==23.1
- pillow==9.5.0
- pretrainedmodels==0.7.4
- pyqt5-sip==12.11.0
- pywavelets==1.4.1
- pyyaml==6.0
- qudida==0.0.4
- requests==2.28.2
- scikit-image==0.20.0
- scikit-learn==1.2.2
- scipy==1.10.1
- segmentation-models-pytorch==0.3.2
- sympy==1.11.1
- threadpoolctl==3.1.0
- tifffile==2023.4.12
- timm==0.6.12
- torch==2.0.0
- torchmetrics==0.11.4
- torchsummary==1.5.1
- torchvision==0.15.1
- tqdm==4.65.0
- triton==2.0.0
- typing-extensions==4.5.0
- wrapt==1.15.0
prefix: /home/sangho/anaconda3/envs/rednet