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A ChRIS plugin to measure Leg Length Discrepancy (LLD)

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pl-lld

https://img.shields.io/docker/v/fnndsc/pl-lld?sort=semver https://img.shields.io/github/license/fnndsc/pl-lld

An inference app to use pre-trained weights to measure length discrepancy in input leg images

lld is a ChRIS ds-type application that takes in ... as ... files and produces ...

docker run --rm fnndsc/pl-lld lld
    [-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-lld lld --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-lld lld                        \
    /incoming /outgoing

Build the Docker container:

docker build -t local/pl-lld .

Run unit tests:

docker run --rm local/pl-lld nosetests

Put some examples here!

https://raw.githubusercontent.com/FNNDSC/cookiecutter-chrisapp/master/doc/assets/badge/light.png

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A ChRIS plugin to measure Leg Length Discrepancy (LLD)

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