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Being a library or command line app would enable software to automatically use this to find duplicates.
If only a GUI is provided then this require manual work and cannot be fed into e.g a web crawler pipeline.
This is important has there are many use cases @theophanemayaud friendly ping
The CLI interface would be great ! It’s a totally new way to interact with the app so I don’t know where to start, though. I’m not sure I will be able to do something good soon.
The other algorithms for similarity scans are great ideas, I think the current ones are quite old. I’d love to also do some local retraining, with a nn that fine tunes on what the user manually selects as matches. I’m really interested in this, thanks for the starting tips !
Being a library or command line app would enable software to automatically use this to find duplicates.
If only a GUI is provided then this require manual work and cannot be fed into e.g a web crawler pipeline.
This is important has there are many use cases
@theophanemayaud friendly ping
Also note that neural networks can be complementary to an SSIM/metric, e.g. https://paperswithcode.com/sota/image-similarity-detection-on-disc21-dev or https://github.com/facebookresearch/vsc2022
besides neural networks, there are newer image metrics that better capture human perception, such as
https://github.com/google/butteraugli
and the newer
https://github.com/cloudinary/ssimulacra2 which is a superset of SSIM
Both are extensively used for tracking progress of the successor of the JPEG codec, JPEG XL
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