Table of Contents
This ia an app to run COVID-Net CT models on chest CT images.
python ct_covidnet.py \
[-v <level>] [--verbosity <level>] \
[--version] \
[--man] \
[--meta] \
[--imagefile] \
<inputDir>
<outputDir>
ct_covidnet.py
is a ChRIS-based plugin for the COVIDNet-UI that performs classification of COVID-19 from chest CT images. More details on the implementation can be found on the paper, COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images.
[-v <level>] [--verbosity <level>]
Verbosity level for app. Not used currently.
[--version]
If specified, print version number.
[--man]
If specified, print (this) man page.
[--meta]
If specified, print plugin meta data.
[--imagefile]
required, name of the image file to be analyzed
The COVID-Net CT-1 L model is downloaded from https://github.com/haydengunraj/COVIDNet-CT/blob/master/docs/models.md
DOCKER_BUILDKIT=1 docker build -t local/pl-ct-covidnet .
docker run --rm -v $PWD/in:/incoming -v $PWD/out:/outgoing \
darwinai/covidnet-pl-ct ct-covidnet \
--imagefile ex-covid-ct.jpg /incoming /outgoing