-
Install docker (https://www.docker.com/).
-
Open a terminal, run
docker pull ghcr.io/schapirolabor/mcmicrogui:latest
and wait for the download to finish. -
Run
docker images
to see the ID of the pulled image. -
Run
docker run -d -t -v <YOUR PATH TO MCMICRO DATA>:/input -v <PATH TO SAVE THE REPORT>:/output <DOCKER IMAGE ID>
. Replace the text in <> with the appropriate values/paths. -
Run
docker ps
to see the name of the container. -
Run
docker exec -it <CONTAINER NAME> /bin/bash
to open a shell inside the container. -
Run
python mcmicrogui/app.py -i input -o output -m <YOUR MARKER>
YOUR MARKER is the marker you are looking to visualize on the report. -
The report should now generate. If you find any bugs or have suggestions for new features, report them here: https://github.com/SchapiroLabor/mcmicrogui/issues
**
-
Install Python 3.10.
-
Download or clone the repository.
-
Run MCMICRO on the data of your choice. Make sure the output ends up in the data folder in the downloaded repository.
-
Run
pip install -r requirements.txt
to install all required packages -
Run
python app.py
to launch the script. -
If you find any bugs or have suggestions for new features, report them here: https://github.com/SchapiroLabor/mcmicrogui/issues