AstroCV

screenshot of AstroCV

Computer Vision library for Astronomy

Overview

AstroCV is an innovative package designed for the realm of astronomy, focusing on the integration of cutting-edge computer vision algorithms to tackle scientific challenges. By providing a suite of tools tailored for processing and analyzing astronomical datasets, AstroCV opens up new avenues for researchers and enthusiasts alike to delve into the mysteries of the cosmos. With features aimed at both beginners and seasoned professionals, this toolkit promises to enhance data analysis workflows significantly.

From training custom models to applying specific filters on images, AstroCV is equipped with a user-friendly approach to handling complex tasks. The package's dedication to making computer vision accessible in the field of astronomy marks it as a valuable resource for anyone looking to expand their exploration of the universe.

Features

  • Galaxy Detection: Includes detailed guides for training your own networks to identify galaxies in various image formats, facilitating hands-on learning and experimentation.
  • Diverse Example Images: Offers four distinct examples showcasing how to process images in different formats, enhancing your understanding of the dataset variety.
  • SDSS Integration: Provides scripts for downloading images from the Sloan Digital Sky Survey, making it easier to access high-quality astronomical data.
  • Filter Application: Allows users to apply different image filters (like lupton and sqrt) to RGB matrices, enabling refined visual analysis of astronomical captures.
  • Introductory Tutorials: Comes with introductory materials on computer vision and deep learning, designed to ease newcomers into these complex topics.
  • Data Download Options: Facilitates seamless downloads of both NGFS and AstroCV data, ensuring users can quickly begin their projects without hassle.
  • User Licensing: Licensed under a 3-clause BSD style license, promoting open-source collaboration and use within the scientific community.