bramtoula/vdna
Pytorch implementation of Visual DNA, an approach to represent and compare images.
This project helps you compare sets of images or even individual images by analyzing their 'visual DNA.' You input one or more image collections, and it generates unique numerical representations. This allows you to quantify how similar or different these images are, which is useful for anyone working with large image datasets who needs to understand visual relationships.
No commits in the last 6 months. Available on PyPI.
Use this if you need to objectively compare and group image datasets or find images similar to a reference set, based on subtle visual characteristics.
Not ideal if you're looking for a simple visual duplicate finder or only need to compare images using basic metrics like color histograms.
Stars
40
Forks
4
Language
Python
License
MIT
Last pushed
Feb 14, 2024
Commits (30d)
0
Dependencies
8
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