This is the source code accompanying the Steep tutorial on semantic segmentation of aerial images:
https://steep-wms.github.io/docs/aerial-image-segmentation/
Contains an aerial image that can be used as input for the workflow from this tutorial.
The image has been downloaded from https://gds.hessen.de. The data is provided by the Hessische Verwaltung für Bodenmanagement und Geoinformation. It is free and can be used for any purpose.
An image segmentation service based on Segment Anything and segment-geospatial.
Usage:
python3 segment.py <input_image> <output_image>
Configuration files needed to run the image segmentation workflow.
A tiling service that splits an image into smaller tiles.
Usage:
node tile.js <input_image> <output_directory> <number_of_cols>
<number_of_cols> specifies the number of columns and rows to split the image into. A value of 5 means the image will be split into 5x5 tiles.
The image segmentation workflow.