steren 0.0.1a0

A computer vision package for planetary GIS data and using neural networks

Steren

Steren is an open-source Python package for analyzing planetary surfaces using artificial intelligence. It helps researchers and developers efficiently search, download, slice, and detect features in planetary imagery.

✨ Features

🔎 Search

Discover and scan the web for the latest publicly available planetary datasets.

⬇️ Download

Easily retrieve and manage high-resolution planetary surface imagery.

🧠 Detect

Apply AI-powered object detection to identify features and structures across large planetary images.

🧩 Slice

Divide massive planetary surface images into smaller, manageable tiles for training, testing, and evaluation of AI models.

🌍 Use Cases

• Planetary science research
• Surface feature detection (craters, rocks, anomalies)
• Dataset preparation for machine learning
• Automated analysis of remote sensing imagery

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🛠 Installation

PyPI

pip install steren

From Source (with Conda)

conda env create -f environment.yml
conda activate steren
git clone https://github.com/jbr819/steren.git
cd steren
pip install -e .

💻 CLI

Steren comes with a straightforward command-line interface (CLI).
You can quickly explore all available commands by running:

steren 

Acknowledgements

Developed during a PhD student internship at the Natural History Museum, London through the BBSRC Professional Internships for PhD Students (PIPS).