用于手动分割多光谱和地理空间图像 的半自动工具_JavaScript_python_代码_下载

# IRIS - Intelligently Reinforced Image Segmentation¹ ¹Yes, it is a <a href="https://en.wikipedia.org/wiki/Backronym">backronym</a>. <img src="preview/segmentation.png" /> 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**