imaging-server-kit 0.0.2

Deploy image processing algorithms in FastAPI servers.

🪐 Imaging Server Kit

Run seamlessly interoperable algorithms on images using FastAPI.

Setup

Build the imaging-server-kit image with docker:

docker build -t imaging-server-kit:3.9 .

or build specific images:

docker build -t imaging-server-kit:3.10 --file Dockerfile-3.10 .
docker build -t imaging-server-kit:gpu --file Dockerfile-GPU .

Run an algorithm server

The server will be running on http://localhost:8000.

docker build -t serverkit/rembg .
docker run -it --rm -p 8000:8000 serverkit/rembg

Run an algorithm server with multiple algorithms

See deployment. The server will be running on http://localhost:7000.

Usage

Python client

Install the imaging-server-kit package with pip:

pip install git+https://gitlab.com/epfl-center-for-imaging/imaging-server-kit.git

Connect to an algorithm server and run algorithms from Python:

from imaging_server_kit import Client

client = Client()

client.connect("http://localhost:7000")

print(client.algorithms)
# [`rembg`, `stardist`, `sam2`]

data_tuple = client.run_algorithm(
    algorithm="rembg",
    image=(...),
    rembg_model_name="silueta",
)

More examples.

Napari client

Coming soon.

Web client

Coming soon.

QuPath client

Coming soon.

Fiji plugin

Coming soon.

Contributing

Contributions are very welcome.

License

This software is distributed under the terms of the BSD-3 license.

Issues

If you encounter any problems, please file an issue along with a detailed description.