View and filter images based on their important attributes.
Clone the directory and cd into it. Then, in a virtual environment, run
pip install .
or, since there are likely to be updates soon, pip install -e ., since that will keep the package up to date upon pulling new changes.
In the python environment with img_sanity installed, run
python -m img_sanity.app --help
to see the command line arguments needed to run the app on any data set.
To run the included example from the img_sanity repo, use
python -m img_sanity.app example/figure_data.csv --img_path=example/figures