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starnet2

Removes stars from astrophotography images using ML models

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StarNet2 is a macOS‑only tool that applies machine‑learning models to remove stellar points from astrophotography photographs, producing images that focus on nebular or galactic structures without the distraction of background stars. It is intended for photographers and hobbyists who need a streamlined way to clean up night‑sky exposures after capture, using automated processing rather than manual masking or stacking techniques.

The software bundles pre‑trained models that identify and subtract star signatures while preserving surrounding detail, allowing users to generate star‑free versions of their raw or processed frames. It runs locally on macOS, offering a stable release that can be downloaded from the project's website.

Documentation is minimal at present, with a simple download page and a brief homepage that notes future content may be added. The current focus is on providing a functional, ready‑to‑use solution for star removal in astrophotography workflows.

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