Comments (4)
Hi,
Will it be possible to share the demo search code?
Thanks
from frozen-in-time.
Hi,
Thanks for the request, I'll ask my supervisors what they think. I think currently the code provides scripts on extracting features and creating a FAISS index.
I think the final steps are
(i) running inference on the text queries via the text encoder and finding the NN videos in the FAISS index
(ii) visualising the top-k videos on a webpage (for webvid you can do this by embedding the corresponding video url in the csv file).
from frozen-in-time.
Totally, that's already really helpful (the scripts for extracting features and creating the FAISS index), so thank you for that. As someone with limited web dev experience, having the backbone javascript/html for locally hosting an interactive webpage to query for my own purposes would also be very helpful, but I understand that you may be constrained by the powers that be.
from frozen-in-time.
Mm yeah tbh if its just for local visualisation you can just write a python scripts which takes the top-k NN results in the FAISS and writes a webpage which embeds the list of videos. No need for javascript or anything
<video src="path/to/ith_topk_video.mp4">
(although this isn't as seamless as a live interactive search query). You could look into using Django which is web dev in python and should be fairly quick to make this locally.
from frozen-in-time.
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from frozen-in-time.