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PHEEEEELLLLLEEEEP t1_j3mirpm wrote

Reply to comment by DanTycoon in Image matching within database? [P] by Clarkmilo

>If you do this approach, I would recommend asking Faiss to retrieve a few more images than you need, then calculating cosine similarity yourself on the images Faiss retrieves to get the 'best' matched images.

Why not just index by cosine distance in the first place?

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DanTycoon t1_j3mlz40 wrote

Well, if you're storing 1 million images in the database, it's going to take a long time to do the cosine distance for all 1 million images. FAISS will give you very roughly the 1000 nearest and you can do the cosine distance from there. My usage was anybody could enter any text phrase and search my dataset. I can't precompute the cosine distance for every query somebody might make.

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PHEEEEELLLLLEEEEP t1_j3mtoyy wrote

What I mean is that faiss can compute knn for a variety of metrics including cosine distance. So you can just directly index by cosine distance instead of L2

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DanTycoon t1_j3mx169 wrote

Ah, I see. I didn’t know. I guess you could do it that way.

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