<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nekitmm on Astro Themes &amp; Templates</title><link>https://www.astrothemes.dev/author/nekitmm/</link><description>Recent content in Nekitmm on Astro Themes &amp; Templates</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.astrothemes.dev/author/nekitmm/index.xml" rel="self" type="application/rss+xml"/><item><title>Starnet</title><link>https://www.astrothemes.dev/theme/nekitmm-starnet/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.astrothemes.dev/theme/nekitmm-starnet/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>StarNet is a remarkable neural network specifically designed for astrophotographers, aimed at simplifying the cumbersome task of star removal from images. Unlike traditional methods that require complex, multi-step procedures, StarNet utilizes a convolutional residual net with an encoder-decoder architecture to streamline this process into a single operation. By focusing on background nebulosity enhancement while skillfully leaving behind the most significant stars and intricate details, this tool promises impressive results for those capturing the beauty of the night sky.&lt;/p></description></item></channel></rss>