this repo contains a few scripts used to assess/review Totalsegmentator.
view wasserth/TotalSegmentator dataset* with rii-mongo/Papaya**
* https://github.com/wasserth/TotalSegmentator
** https://github.com/rii-mango/Papaya
tunnel `$myserver:80` as `localhost:5000`
ssh -L 5000:127.0.0.1:80 $myserver
# build container
cd view
docker compose build
# prepare single segmentation (nii.gz) and png files.
export DATADIR=/mnt/scratch/data/Totalsegmentator_dataset
docker run -it -u $(id -u):$(id -g) -e DATADIR --init \
-w ${PWD} -v /mnt:/mnt totalsegmentator-dataset-viewer-flask bash
python prepare.py
#
#
# create `.env` and `volume.yml`, see examples: `.env.SAMPLE` and `volume.yml.SAMPLE`
#
docker compose -f docker-compose.yml -f volume.yml up
-
for assessment on how it compares to manual contours in other datasets, see:
There are only two hard things in Computer Science: cache invalidation and naming things.
-- Phil Karlton
Hence this repo name, the alternative would be totalsegmentator-misc-$(openssl rand -hex 4)