computervision-recipes/environment.yml

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YAML

#
# To create the conda environment:
# $ conda env create -f environment.yml
#
# To update the conda environment:
# $ conda env update -f environment.yml
#
# To register the conda environment in Jupyter:
# $ conda activate cv
# $ python -m ipykernel install --user --name cv
#
name: cv
channels:
- defaults
- conda-forge
- pytorch
- fastai
dependencies:
- python==3.6.8
- pytorch>=1.2.0
- torchvision>=0.3.0
- fastai==1.0.57
- ipykernel>=4.6.1
- jupyter>=1.0.0
- pytest>=3.6.4
- bqplot
- scikit-learn>=0.19.1
- pip>=19.0.3
- cython>=0.29.1
- papermill>=0.15.0
- black>=18.6b4
- ipywebrtc
- lxml>=4.3.2
- pre-commit>=1.14.4
- pyyaml>=5.1.2
- requests>=2.22.0
- cython>=0.29.1
- pip:
- nvidia-ml-py3
- nteract-scrapbook
- azureml-sdk[notebooks,contrib]>=1.0.30
- git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI