This repository contains tutorials for the using the layered surface detection tool. Included is a Jupyter notebook entitled _LayeredSurfaceDetection_tutorial.ipynb_ which contains a short tutorial on applying the tool to a 2D dataset. A Python file containing some helper functions that are used in the tutorial is also included in _helpers.py_.
These tutorials will hopefully give you an understanding of how to apply the Layered Surface tool to image data so that you can use the tool on your own datasets. You can open them at [](https://mybinder.org/v2/git/https%3A%2F%2Flab.compute.dtu.dk%2FQIM%2Ftutorials%2Flayered-surfaces/HEAD).
These tutorials will give you an understanding of how to apply the Layered Surface tool to image data so that you can use the tool on your own datasets. You can open them at [](https://mybinder.org/v2/git/https%3A%2F%2Flab.compute.dtu.dk%2FQIM%2Ftutorials%2Flayered-surfaces/HEAD).
For local installation, you need to be sure to install the slgbuilder Python package using, `pip install slgbuilder`.
