Uncertainty estimation for landmark localisation

Warning

This tutorial is a stub. The example in this folder is complete and runnable – see the README and run the command below – but the narrated walkthrough has not been written yet. Tracking issue: the tutorial is marked draft: true in metadata.yml.

Quantile Binning sorts landmark predictions into bins of increasing uncertainty with estimated error bounds, so the least reliable predictions can be filtered out before they are acted on.

To run the full example now:

python main.py --cfg configs/SA_data.yaml

Setup

Placeholder so the gallery builds. Replace this file using source/_shared/templates/plot.py.template.

print("See main.py in this folder for the runnable example.")