Metadata-Version: 2.2
Name: thunderseg
Version: 1.0.0.dev26
Summary: A deep learning framwork focus on image segmentation
Author-email: Jiawei Li <Jiaweiliwork@outlook.com>
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

# Welcome to Thunderseg !
## This package is under development stage, you may find bugs and incomplete functions when using this package, feature may change during development. 
Thunderseg is an open-source software package developed on PyTorch and PyTorch Lightning frameworks. It is specifically designed to address deep learning-based image segmentation tasks within the domain of remote sensing.

The primary objective of Thunderseg is to integrate state-of-the-art image segmentation techniques while offering users an intuitive and streamlined workflow for performing image segmentation tasks.

Thunder seg can be install by:
```
conda env create -f https://raw.githubusercontent.com/jldz9/thunderseg/refs/heads/master/environment.yml
pip install thunderseg
```
We also offer docker image and devcontainer 

check [Documentation](https://jldz9.github.io/thunderseg/) for more install methods and usage
