Installation

Prepare Environment

1. Create a conda virtual environment and activate it.

   conda create -n open-mmlab python=3.7 -y
   conda activate open-mmlab
   

2. Install PyTorch and torchvision following the official instructions, e.g.,

   conda install pytorch torchvision -c pytorch
   

   Note: Make sure that your compilation CUDA version and runtime CUDA version match. You can check the supported CUDA version for precompiled packages on the PyTorch website.

Install MIM

• from pypi

  pip install openmim
  

• from source

  git clone https://github.com/open-mmlab/mim.git
  cd mim
  pip install -e .
  # python setup.py develop or python setup.py install
  

Optional Features

1. Auto completion

   In order to activate shell completion, you need to inform your shell that completion is available for your script.

   • For Bash, add this to ~/.bashrc:

     eval "$(_MIM_COMPLETE=source mim)"
     

   • For Zsh, add this to ~/.zshrc:

     eval "$(_MIM_COMPLETE=source_zsh mim)"
     

   • For Fish, add this to ~/.config/fish/completions/mim.fish:

     eval (env _MIM_COMPLETE=source_fish mim)
     

   Open a new shell to enable completion. Or run the eval command directly in your current shell to enable it temporarily.

   The above eval command will invoke your application every time a shell is started. This may slow down shell startup time significantly.

   Alternatively, you can activate the script. Please refer to activation-script.