boris-kz/CogAlg
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
This project offers a new way to help computer vision systems understand what they're seeing by finding patterns in images, starting from individual pixels. Instead of just learning from predefined examples, it discovers meaningful relationships and groups in visual data from the ground up. It's designed for researchers and engineers creating advanced image analysis and object recognition systems.
Use this if you are exploring new, unsupervised methods for hierarchical pattern discovery in visual data, aiming for more robust and explainable computer vision systems.
Not ideal if you need a pre-built, production-ready computer vision solution that relies on standard deep learning techniques and large labeled datasets.
Stars
98
Forks
40
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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