name: lymphoma_seg

channels:

  - pytorch

  - conda-forge

  - defaults

dependencies:

  - _libgcc_mutex=0.1=main

  - _openmp_mutex=5.1=1_gnu

  - asttokens=2.4.0=pyhd8ed1ab_0

  - backcall=0.2.0=pyh9f0ad1d_0

  - backports=1.0=pyhd8ed1ab_3

  - backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0

  - blas=1.0=mkl

  - brotlipy=0.7.0=py38h27cfd23_1003

  - bzip2=1.0.8=h7b6447c_0

  - ca-certificates=2023.7.22=hbcca054_0

  - certifi=2023.7.22=pyhd8ed1ab_0

  - cffi=1.15.1=py38h74dc2b5_0

  - charset-normalizer=2.0.4=pyhd3eb1b0_0

  - comm=0.1.4=pyhd8ed1ab_0

  - cryptography=41.0.3=py38h130f0dd_0

  - cudatoolkit=11.3.1=h2bc3f7f_2

  - debugpy=1.6.7=py38h6a678d5_0

  - decorator=5.1.1=pyhd8ed1ab_0

  - entrypoints=0.4=pyhd8ed1ab_0

  - executing=1.2.0=pyhd8ed1ab_0

  - ffmpeg=4.3=hf484d3e_0

  - freetype=2.12.1=h4a9f257_0

  - giflib=5.2.1=h5eee18b_3

  - gmp=6.2.1=h295c915_3

  - gnutls=3.6.15=he1e5248_0

  - idna=3.4=py38h06a4308_0

  - intel-openmp=2021.4.0=h06a4308_3561

  - ipykernel=6.25.2=pyh2140261_0

  - ipython=8.12.0=pyh41d4057_0

  - jedi=0.19.1=pyhd8ed1ab_0

  - jpeg=9e=h5eee18b_1

  - jupyter_client=7.3.4=pyhd8ed1ab_0

  - jupyter_core=4.12.0=py38h578d9bd_0

  - lame=3.100=h7b6447c_0

  - lcms2=2.12=h3be6417_0

  - ld_impl_linux-64=2.38=h1181459_1

  - lerc=3.0=h295c915_0

  - libdeflate=1.17=h5eee18b_1

  - libffi=3.3=he6710b0_2

  - libgcc-ng=11.2.0=h1234567_1

  - libgomp=11.2.0=h1234567_1

  - libiconv=1.16=h7f8727e_2

  - libidn2=2.3.4=h5eee18b_0

  - libpng=1.6.39=h5eee18b_0

  - libsodium=1.0.18=h36c2ea0_1

  - libstdcxx-ng=11.2.0=h1234567_1

  - libtasn1=4.19.0=h5eee18b_0

  - libtiff=4.5.1=h6a678d5_0

  - libunistring=0.9.10=h27cfd23_0

  - libuv=1.44.2=h5eee18b_0

  - libwebp=1.3.2=h11a3e52_0

  - libwebp-base=1.3.2=h5eee18b_0

  - 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=py38h7f8727e_0

  - mkl_fft=1.3.1=py38hd3c417c_0

  - mkl_random=1.2.2=py38h51133e4_0

  - ncurses=6.4=h6a678d5_0

  - nest-asyncio=1.5.6=pyhd8ed1ab_0

  - nettle=3.7.3=hbbd107a_1

  - numpy=1.24.3=py38h14f4228_0

  - numpy-base=1.24.3=py38h31eccc5_0

  - openh264=2.1.1=h4ff587b_0

  - openssl=1.1.1w=h7f8727e_0

  - packaging=23.2=pyhd8ed1ab_0

  - parso=0.8.3=pyhd8ed1ab_0

  - pexpect=4.8.0=pyh1a96a4e_2

  - pickleshare=0.7.5=py_1003

  - pillow=9.4.0=py38h6a678d5_1

  - pip=23.2.1=py38h06a4308_0

  - prompt-toolkit=3.0.39=pyha770c72_0

  - prompt_toolkit=3.0.39=hd8ed1ab_0

  - ptyprocess=0.7.0=pyhd3deb0d_0

  - pure_eval=0.2.2=pyhd8ed1ab_0

  - pycparser=2.21=pyhd3eb1b0_0

  - pygments=2.16.1=pyhd8ed1ab_0

  - pyopenssl=23.2.0=py38h06a4308_0

  - pysocks=1.7.1=py38h06a4308_0

  - python=3.8.10=h12debd9_8

  - python-dateutil=2.8.2=pyhd8ed1ab_0

  - python_abi=3.8=2_cp38

  - pytorch=1.11.0=py3.8_cuda11.3_cudnn8.2.0_0

  - pytorch-mutex=1.0=cuda

  - pyzmq=25.1.0=py38h6a678d5_0

  - readline=8.2=h5eee18b_0

  - requests=2.31.0=py38h06a4308_0

  - setuptools=68.0.0=py38h06a4308_0

  - six=1.16.0=pyhd3eb1b0_1

  - sqlite=3.41.2=h5eee18b_0

  - stack_data=0.6.2=pyhd8ed1ab_0

  - tk=8.6.12=h1ccaba5_0

  - torchaudio=0.11.0=py38_cu113

  - torchvision=0.12.0=py38_cu113

  - tornado=6.1=py38h0a891b7_3

  - traitlets=5.10.1=pyhd8ed1ab_0

  - typing_extensions=4.7.1=py38h06a4308_0

  - urllib3=1.26.16=py38h06a4308_0

  - wcwidth=0.2.8=pyhd8ed1ab_0

  - wheel=0.41.2=py38h06a4308_0

  - xz=5.4.2=h5eee18b_0

  - zeromq=4.3.4=h9c3ff4c_1

  - zlib=1.2.13=h5eee18b_0

  - zstd=1.5.5=hc292b87_0

  - pip:

    - absl-py==2.0.0

    - alembic==1.12.0

    - astor==0.8.1

    - attrs==23.1.0

    - beautifulsoup4==4.12.2

    - blinker==1.6.2

    - cachetools==5.3.1

    - clearml==1.13.1

    - click==8.1.7

    - cloudpickle==2.2.1

    - cmaes==0.10.0

    - colorama==0.4.6

    - coloredlogs==15.0.1

    - colorlog==6.7.0

    - connected-components-3d==3.12.3

    - contextlib2==21.6.0

    - contourpy==1.1.1

    - cucim==23.8.0

    - cycler==0.12.0

    - databricks-cli==0.17.8

    - dataclasses==0.6

    - docker==6.1.3

    - einops==0.7.0

    - filelock==3.11.0

    - fire==0.5.0

    - flask==2.3.3

    - flatbuffers==23.5.26

    - fonttools==4.43.0

    - fsspec==2023.9.2

    - furl==2.1.3

    - gdown==4.7.1

    - gitdb==4.0.10

    - gitpython==3.1.37

    - google-auth==2.23.2

    - google-auth-oauthlib==1.0.0

    - greenlet==3.0.0

    - grpcio==1.59.0

    - gunicorn==21.2.0

    - h5py==3.9.0

    - huggingface-hub==0.17.3

    - humanfriendly==10.0

    - imagecodecs==2023.3.16

    - imageio==2.31.5

    - importlib-metadata==6.8.0

    - importlib-resources==6.1.0

    - itk==5.3.0

    - itk-core==5.3.0

    - itk-filtering==5.3.0

    - itk-io==5.3.0

    - itk-numerics==5.3.0

    - itk-registration==5.3.0

    - itk-segmentation==5.3.0

    - itsdangerous==2.1.2

    - jinja2==3.1.2

    - joblib==1.3.2

    - json-tricks==3.17.3

    - jsonschema==4.19.1

    - jsonschema-specifications==2023.7.1

    - kiwisolver==1.4.5

    - lazy-loader==0.3

    - lmdb==1.4.1

    - mako==1.2.4

    - markdown==3.4.4

    - markupsafe==2.1.3

    - matplotlib==3.7.3

    - mlflow==2.7.1

    - monai==1.2.0

    - mpmath==1.3.0

    - networkx==3.1

    - nibabel==5.1.0

    - ninja==1.11.1

    - nni==3.0

    - nptyping==2.5.0

    - nvidia-ml-py==12.535.108

    - oauthlib==3.2.2

    - onnx==1.14.1

    - onnxruntime==1.16.0

    - opencv-python==4.8.1.78

    - openslide-python==1.1.2

    - optuna==3.3.0

    - orderedmultidict==1.0.1

    - pandas==2.0.3

    - pathlib2==2.3.7.post1

    - pkgutil-resolve-name==1.3.10

    - prettytable==3.9.0

    - protobuf==4.24.3

    - psutil==5.9.5

    - pyarrow==13.0.0

    - pyasn1==0.5.0

    - pyasn1-modules==0.3.0

    - pydicom==2.4.3

    - pyjwt==2.4.0

    - pynrrd==1.0.0

    - pyparsing==3.1.1

    - pythonwebhdfs==0.2.3

    - pytorch-ignite==0.4.11

    - pytz==2023.3.post1

    - pywavelets==1.4.1

    - pyyaml==6.0.1

    - querystring-parser==1.2.4

    - referencing==0.30.2

    - regex==2023.10.3

    - requests-oauthlib==1.3.1

    - responses==0.23.3

    - rpds-py==0.10.3

    - rsa==4.9

    - rt-utils==1.2.7

    - schema==0.7.5

    - scikit-image==0.21.0

    - scikit-learn==1.3.1

    - scipy==1.10.1

    - simpleitk==2.3.0

    - simplejson==3.19.1

    - smmap==5.0.1

    - soupsieve==2.5

    - sqlalchemy==2.0.21

    - sqlparse==0.4.4

    - sympy==1.12

    - tabulate==0.9.0

    - tensorboard==2.14.0

    - tensorboard-data-server==0.7.1

    - tensorboardx==2.6.2.2

    - termcolor==2.3.0

    - threadpoolctl==3.2.0

    - tifffile==2023.7.10

    - tokenizers==0.12.1

    - tqdm==4.66.1

    - transformers==4.21.3

    - typeguard==4.1.2

    - types-pyyaml==6.0.12.12

    - tzdata==2023.3

    - websocket-client==1.6.3

    - websockets==11.0.3

    - werkzeug==3.0.0

    - zipp==3.17.0

prefix: /anaconda/envs/lymphoma_seg