diegochz / iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

IRIS - Intelligently Reinforced Image Segmentation¹

¹Yes, it is a backronym.

Tool for manual image segmentation and classification of satellite imagery (or images in general). It was designed to accelerate the creation of machine learning training datasets for Earth Observation. This application is a flask app which can be run locally. Special highlights:

• Support by AI (gradient boosted decision tree) when doing image segmentation
• Multiple and configurable views for multispectral imagery
• Simple setup with pip and one configuration file
• Platform independent app (runs on Linux, Windows and Mac OS)
• Multi-user support: work in a team on your dataset and merge the results

Installation

Clone the repository, navigate to the directory, and install the package and its dependencies

git clone [email protected]:ESA-PhiLab/iris.git
cd iris
python setup.py install

If you are altering the IRIS source code then you made find it easier to install like below, to avoid having to reinstall it every time a change is made

pip install -e ./

Usage

Once installed, you can run the demo version of IRIS

iris demo

Having run the demo, you can then create a personalised config file, based on demo/cloud-segmentation.json. With your own config file, you can then instantiate your own custom project

iris label <your-config-file>

Visit the official iris Github page: https://github.com/ESA-PhiLab/iris