MAD-DL

Deep Learning Framework for the Deep Medical Anomaly Segmentation Seminar

Installation guide:

0). Set up wandb. (https://docs.wandb.ai/quickstart)

• Sign up for a free account at https://wandb.ai/site and then login to your wandb account.
• Login to wandb with wandb login
• Paste the API key when prompted. You will find your API key here: https://wandb.ai/authorize.

1). Clone d-mas framework to desired location

• git clone https://github.com/compai-lab/d-mas-framework.git *TARGET_DIR*

2). Create a virtual environment with the needed packages (use conda_environment-osx.yaml for macOS)

cd ${TARGET_DIR}/d-mas-framework
conda env create -f conda_environment.yaml
source activate mas_py308 *or* conda activate mas_py308

3). Install pytorch

• with cuda:

pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 -f https://download.pytorch.org/whl/torch_stable.html

• w/o cuda:

pip3 install torch==1.9.1 torchvision==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html

4). Run the demo script:

python core/Main.py --config_path projects/Autoencoders/d-ae.yaml

5). Optional: Clone the projects folder to your own Github:

cd ${TARGET_DIR}/iml-dl/projects
git init
git remote add origin $URL_TO_YOUR_REPO
git branch -M main
git commit -m "first commit"
git push -u origin main

That's it, enjoy! 🚀