This repository contains the Python code that accompanies the paper
Uncertainty Quantification for Scale-Space Blob Detection.
In particular, it contains the code that was used to produce all figures in the paper.
- Fabian Parzer (University of Vienna)
- Clemens Kirisits (University of Vienna)
- Otmar Scherzer (University of Vienna, RICAM Linz, CD Lab "MaMSi")
This repository is structures as follows:
examples/
: Contains the code for the numerical experiments in section 5 of the paper.src/
: Contains the implementation of the main routines.tests/
: Contains unit tests written inpytest
for the most important modules.
The figures can be reproduced with by running the scripts
run_one_dimensional_deconvolution.py
: For the deconvolution example (section 5.1/5.3 of the paper),run_stellar_recovery.py
: For the stellar-recovery-example (section 5.2/5.3) of the paper.
If you have any questions regarding this repository, feel free to write an email to fabian.kai.parzer@univie.ac.at.