This release is a pre-release and may not be stable for production use.
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 for more install methods and usage
Metadata
Release files for thunderseg 1.0.0.dev26
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| thunderseg-1.0.0.dev26.tar.gz | 32.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| thunderseg-1.0.0.dev26-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 61.3 kB
Release files / thunderseg-1.0.0.dev26.tar.gz
| Download URL | thunderseg-1.0.0.dev26.tar.gz |
|---|---|
| Size | 32.2 kB |
| Tags | Source |
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Release files / thunderseg-1.0.0.dev26-py3-none-any.whl
| Download URL | thunderseg-1.0.0.dev26-py3-none-any.whl |
|---|---|
| Size | 29.0 kB |
| Tags | Python 3 |
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