milaan9/Python_Computer_Vision_from_Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
This resource helps you understand how computers 'see' and interpret images for practical applications. It takes raw images or videos as input and provides processed images, identified features, or manipulated visuals as output. This is for students, hobbyists, or professionals who want to learn how image analysis techniques work to apply them in fields like medical imaging or photo editing.
243 stars. No commits in the last 6 months.
Use this if you want to learn the fundamental techniques behind computer vision, from basic image manipulation to detecting specific features like edges or faces.
Not ideal if you're looking for a pre-built, production-ready tool for advanced computer vision tasks without understanding the underlying algorithms.
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MIT
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Last pushed
Dec 09, 2022
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