# Clone the github project (the latest version of main branch only)
git clone --branch main --depth 1 https://github.com/Project-MONAI/monai-deploy-app-sdk.git
cd monai-deploy-app-sdk
# Install monai-deploy-app-sdk package
pip install monai-deploy-app-sdk
# Download/Extract ai_spleen_bundle_data zip file from https://drive.google.com/file/d/1cJq0iQh_yzYIxVElSlVa141aEmHZADJh/view?usp=sharing
# Download ai_spleen_bundle_data.zip
pip install gdown
gdown https://drive.google.com/uc?id=1cJq0iQh_yzYIxVElSlVa141aEmHZADJh
# After downloading ai_spleen_bundle_data.zip from the web browser or using gdown,
unzip -o ai_spleen_bundle_data.zip
# Install necessary packages from the app; note that numpy-stl and trimesh are only
# needed if the application uses the STL Conversion Operator
pip install monai pydicom SimpleITK Pillow nibabel scikit-image numpy-stl trimesh
# Local execution of the app directly or using MONAI Deploy CLI
python examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.ts
# or alternatively,
monai-deploy exec ../examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.ts
# Package app (creating MAP docker image) using `-l DEBUG` option to see progress.
# This assumes that nvidia docker is installed in the local machine.
# Please see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker to install nvidia-docker2.
monai-deploy package examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
# Run the app with docker image and input file locally
monai-deploy run seg_app:latest dcm/ output