Table of Contents
An app to track brain scans with most movement
mediapipe
is a ChRIS ds-type application that takes in ... as ... files
and produces ...
docker run --rm fnndsc/pl-mediapipe mediapipe [-h|--help] [--json] [--man] [--meta] [--savejson <DIR>] [-v|--verbosity <level>] [--version] <inputDir> <outputDir>
[-h] [--help] If specified, show help message and exit. [--json] If specified, show json representation of app and exit. [--man] If specified, print (this) man page and exit. [--meta] If specified, print plugin meta data and exit. [--savejson <DIR>] If specified, save json representation file to DIR and exit. [-v <level>] [--verbosity <level>] Verbosity level for app. Not used currently. [--version] If specified, print version number and exit.
Getting inline help is:
docker run --rm fnndsc/pl-mediapipe mediapipe --man
You need to specify input and output directories using the -v flag to docker run.
docker run --rm -u $(id -u) \
-v $(pwd)/in:/incoming -v $(pwd)/out:/outgoing \
fnndsc/pl-mediapipe mediapipe \
/incoming /outgoing
Build the Docker container:
docker build -t local/pl-mediapipe .
Run unit tests:
docker run --rm local/pl-mediapipe nosetests
Put some examples here!
![https://raw.githubusercontent.com/FNNDSC/cookiecutter-chrisapp/master/doc/assets/badge/light.png](https://raw.githubusercontent.com/FNNDSC/cookiecutter-chrisapp/master/doc/assets/badge/light.png)