Building-segmentation-iquaflow-use-case

In this use case we study the model performance of a building segmentation task using different satellite imagery data products: one processed on the ground and the other processed on board the satellite.

This use case was presented at the 8th International Workshop on On-board Payload Data Compression https://atpi.eventsair.com/obpdc2022/.

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How to execute

Use docker and nvidia-docker as follows:

1. Build the docker image

Check the variables in the Makefile, then

make build

1. Raise a running container

make container

3. As soon as the docker is running in background you can launch the following services whithin it:

   • Launch a jupyter lab server

     make nb

     Then access it from your browser by using this address localhost:8088/?token=commodities

   • Stops the jupyter server

     make nbstop

   • Launch an mlflow server

     make mlf

     Then access it from your browser by using this address localhost:5055

   • To raise an interactive shell from our running container

     make execsh

   • To run tests

     make test

   • Stop the docker container and everything that is running within it

     make stop

4. Run the experiment

Inside the docker run

   python iqf-usecase.py

use the -h option to see the possible options for this script.