[warangal]

Disclaimer: I work on such a project[0]

I think a combination of CLIP and some face-recognition may solve your issues! It just takes a path to your directory, and can index all the images while preserving your folder hierarchy along with a high quality face-clustering. Each image indexing takes about 100ms on a cpu. Every combination can then be mixed and matched, from a single interface, It doesn't take much to try as dependencies are very minimal . There is a self contained app for windows too. I have been looking for feedback, so just plugging it here in case some one has a use case.

[0] https://github.com/eagledot/hachi

[swyx]

> https://github.com/eagledot/hachi

promising but i want to see more before i try it - could you invest a little in your readme to list out features, maybe do a little loom demo?

[warangal]

for images readme is at: https://github.com/eagledot/hachi/tree/main/images/readme.md with more than enough details! It is supposed to be a search engine for all modalities, for now `images` are supported !

For demo, i don't have much resources to host it, would a video showcasing features help ?

Also for windows there is a portable app at https://github.com/eagledot/hachi/releases/download/v1.3/hac...

[swyx]

yea simple Loom/youtube video works well!