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chore: Add conda environment
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yamanadamnor committed Apr 13, 2023
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name: yolov8-sandbox
channels:
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- asttokens=2.2.1=pyhd8ed1ab_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
- brotlipy=0.7.0=py39h27cfd23_1003
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2022.12.7=ha878542_0
- certifi=2022.12.7=pyhd8ed1ab_0
- cffi=1.15.1=py39h5eee18b_3
- cryptography=39.0.1=py39h9ce1e76_0
- cuda-cudart=11.7.99=0
- cuda-cupti=11.7.101=0
- cuda-libraries=11.7.1=0
- cuda-nvrtc=11.7.99=0
- cuda-nvtx=11.7.91=0
- cuda-runtime=11.7.1=0
- cudatoolkit=11.1.74=h6bb024c_0
- cudnn=8.0.4=cuda11.1_0
- debugpy=1.5.1=py39h295c915_0
- decorator=5.1.1=pyhd8ed1ab_0
- entrypoints=0.4=pyhd8ed1ab_0
- executing=1.2.0=pyhd8ed1ab_0
- ffmpeg=4.3=hf484d3e_0
- flit-core=3.8.0=py39h06a4308_0
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h5eee18b_3
- gmp=6.2.1=h295c915_3
- gmpy2=2.1.2=py39heeb90bb_0
- gnutls=3.6.15=he1e5248_0
- intel-openmp=2021.4.0=h06a4308_3561
- ipykernel=6.15.0=pyh210e3f2_0
- ipython=8.11.0=pyh41d4057_0
- jedi=0.18.2=pyhd8ed1ab_0
- jinja2=3.1.2=py39h06a4308_0
- jpeg=9e=h5eee18b_1
- jupyter_client=7.0.6=pyhd8ed1ab_0
- jupyter_core=4.12.0=py39hf3d152e_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
- libcublas=11.10.3.66=0
- libcufft=10.7.2.124=h4fbf590_0
- libcufile=1.6.0.25=0
- libcurand=10.3.2.56=0
- libcusolver=11.4.0.1=0
- libcusparse=11.7.4.91=0
- libdeflate=1.17=h5eee18b_0
- libffi=3.4.2=h6a678d5_6
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.2=h7f8727e_0
- libnpp=11.7.4.75=0
- libnvjpeg=11.8.0.2=0
- libpng=1.6.39=h5eee18b_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.5.0=h6a678d5_2
- libunistring=0.9.10=h27cfd23_0
- libwebp=1.2.4=h11a3e52_1
- libwebp-base=1.2.4=h5eee18b_1
- lz4-c=1.9.4=h6a678d5_0
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py39h7f8727e_0
- mkl_fft=1.3.1=py39hd3c417c_0
- mkl_random=1.2.2=py39h51133e4_0
- mpc=1.1.0=h10f8cd9_1
- mpfr=4.0.2=hb69a4c5_1
- ncurses=6.4=h6a678d5_0
- nest-asyncio=1.5.6=pyhd8ed1ab_0
- nettle=3.7.3=hbbd107a_1
- numpy=1.23.5=py39h14f4228_0
- numpy-base=1.23.5=py39h31eccc5_0
- openh264=2.1.1=h4ff587b_0
- openssl=1.1.1t=h7f8727e_0
- packaging=23.0=pyhd8ed1ab_0
- parso=0.8.3=pyhd8ed1ab_0
- pexpect=4.8.0=pyh1a96a4e_2
- pickleshare=0.7.5=py_1003
- pip=23.0.1=py39h06a4308_0
- prompt-toolkit=3.0.38=pyha770c72_0
- prompt_toolkit=3.0.38=hd8ed1ab_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.14.0=pyhd8ed1ab_0
- pyopenssl=23.0.0=py39h06a4308_0
- pysocks=1.7.1=py39h06a4308_0
- python=3.9.16=h7a1cb2a_2
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.9=2_cp39
- pytorch=2.0.0=py3.9_cuda11.7_cudnn8.5.0_0
- pytorch-cuda=11.7=h778d358_3
- pytorch-mutex=1.0=cuda
- pyzmq=19.0.2=py39hb69f2a1_2
- readline=8.2=h5eee18b_0
- setuptools=65.6.3=py39h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.41.1=h5eee18b_0
- stack_data=0.6.2=pyhd8ed1ab_0
- sympy=1.11.1=py39h06a4308_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=2.0.0=py39_cu117
- torchtriton=2.0.0=py39
- tornado=6.1=py39hb9d737c_3
- traitlets=5.9.0=pyhd8ed1ab_0
- typing_extensions=4.4.0=py39h06a4308_0
- tzdata=2022g=h04d1e81_0
- wcwidth=0.2.6=pyhd8ed1ab_0
- wheel=0.38.4=py39h06a4308_0
- xz=5.2.10=h5eee18b_1
- zeromq=4.3.4=h9c3ff4c_1
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.2=ha4553b6_0
- pip:
- absl-py==1.4.0
- cachetools==5.3.0
- chardet==4.0.0
- charset-normalizer==3.1.0
- cmake==3.26.1
- contourpy==1.0.7
- cycler==0.10.0
- filelock==3.10.6
- fonttools==4.39.2
- gitdb==4.0.10
- gitpython==3.1.31
- google-auth==2.16.3
- google-auth-oauthlib==0.4.6
- grpcio==1.51.3
- idna==2.10
- importlib-metadata==6.1.0
- importlib-resources==5.12.0
- kiwisolver==1.4.4
- lit==16.0.0
- markdown==3.4.3
- markupsafe==2.1.2
- matplotlib==3.7.1
- mpmath==1.3.0
- networkx==3.0
- 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
- oauthlib==3.2.2
- opencv-python==4.7.0.72
- pandas==1.5.3
- pillow==9.4.0
- protobuf==4.22.1
- psutil==5.9.4
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pyparsing==2.4.7
- python-dotenv==1.0.0
- pytz==2023.2
- pyyaml==6.0
- requests==2.28.2
- requests-oauthlib==1.3.1
- requests-toolbelt==0.10.1
- roboflow==1.0.1
- rsa==4.9
- scipy==1.10.1
- seaborn==0.12.2
- sentry-sdk==1.17.0
- smmap==5.0.0
- tensorboard==2.12.0
- tensorboard-data-server==0.7.0
- tensorboard-plugin-wit==1.8.1
- thop==0.1.1-2209072238
- torch==2.0.0
- torchvision==0.15.1
- triton==2.0.0
- ultralytics==8.0.58
- urllib3==1.26.15
- werkzeug==2.2.3
- wget==3.2
- zipp==3.15.0
prefix: /home/yams/miniconda3/envs/yolov8-sandbox

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