Lung Segmentation with fastapi

This app uses FastAPI as backend.

Usage for app.py

First install required libraries by running:

pip install -r requirements.txt

To run the application run following command in src dir:

uvicorn app:app --reload

or

chmod +x app.sh
./app.sh

Tutorial for app.py

Tutorial

main page

http://localhost:8000/

fastapi documentation

http://localhost:8000/docs

show results

http://localhost:8000/imshow

---

DVC

pip install dvc dvc-gdrive

# pull weights from Google Drive
dvc pull

in weights directory

weights
├── cxr_resunet.tflite
├── cxr_resunet.tflite.dvc
├── cxr_unet.tflite
└── cxr_unet.tflite.dvc

---

Docker

# Build image
docker build -t IMAGE_NAME:TAG_NAME .
docker run -p 8000:8000 -d IMAGE_NAME:TAG_NAME

Or

# for amd64 systems
docker run -d -p 8000:8000 pejmans21/ls-fastapi:0.1.0

#### OR

# for arm64 systems
docker run -d -p 8000:8000 pejmans21/ls-fastapi:aarch64

---

Kubernetes

kubectl apply -f ls-fastapi-k8s-config.yaml

to see output

kubectl port-forward service/lsapi-service 8000

Now check http://127.0.0.1:8000/

Stop process

kubectl delete -f ls-fastapi-k8s-config.yaml