README.md

VISAT DATA PIPELINE - A VISUALIZATION OF SATELLITE DETECTED OBJECTS PROGRAM

A python project that reads and writes satellite data, as well as read and process labels

Usage

If you want to process data locally, try the following command

labellize.py <IMAGE-ID> <SAT-IMAGES-FOLDER> <JSON-FILE-LABELS>

Build and run the project on Docker

Inside the project folder, run the following docker command to build an image of the project:

docker image build -t labellize .

To be able to visualize the labels from the container, you need to have XQuartz installed on your machine.

Once running you open XQuartz terminal and run:

xhost +

Next open a new terminal session and set a variable environment called $IP to serve the connection between the container and the x11 GUI. Use the following command:

export IP=$(/usr/sbin/ipconfig getifaddr en0)
echo $IP

Now Execute the docker run command, which also mount the folder where the levels and images exists to the home folder of the container:

docker run -it -e DISPLAY="${IP}:0" -v /tmp/.X11-unix:/tmp/.X11-unix -v <DATA-FOLDER>:/home labellize <IMAGE-ID> <SAT-IMAGES-FOLDER> <JSON-FILE-LABELS>

License

MIT