MONAI Label supports following OS with GPU/CUDA enabled.
Make sure you have python 3.x version environment with PyTorch and CUDA installed.
Install the following Python libraries
python -m pip install --upgrade pip setuptools wheel # Install latest stable version for pytorch pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio===0.9.0 -f https://download.pytorch.org/whl/torch_stable.html # Check if cuda enabled python -c "import torch; print(torch.cuda.is_available())"
Install From PyPI¶
Weekly preview release¶
To install the weekly preview release:
pip install monailabel-weekly
The weekly build is released to PyPI every Sunday with a pre-release build number dev[%y%U].
To install latest from github main branch
pip install git+https://github.com/Project-MONAI/MONAILabel#egg=monailabel
If you have installed the
PyPI release version using
pip install monailabel, please run
monailabel before using the commands from this section. Because
default prefers the milestone release.
The milestone versions are currently planned and released every few months. As the codebase is under active development, you may want to install MONAI from GitHub for the latest features
MONAI Label CLI¶
Simple monailabel command will help user to download sample apps, datasets and run server.
Downloading Sample Apps or Datasets¶
You can download sample apps and datasets from monailabel CLI.
# Download Sample Apps monailabel apps # List sample apps monailabel apps --download --name deepedit_left_atrium --output apps # Download MSD Datasets monailabel datasets # List sample datasets monailabel datasets --download --name Task02_Heart --output datasets
You can start server using monailabel CLI
monailabel start_server --app apps\deepedit_left_atrium --studies datasets\Task02_Heart\imagesTr
Once you start the MONAI Label Server, by default it will be up and serving at http://127.0.0.1:8000/. Open the serving URL in browser. It will provide you the list of Rest APIs available.