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Voyager Face embedding storing #32
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where did you get this? |
it is for adding synthetic data. i wanted to test some ann algorithms on very large data. of course you do not have to have that block. working with just real data is better. |
on your blog
I'm getting this output, and [error]
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And for me 110 face embeddings are taking more than a minute for storing in voyager. but the search was fast though. could you check what went wrong??
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Nothing! Creating index takes time but it offers fast search. |
so this can't be faster than this?? like for mere 100 images it is taking 1 min to store? |
if you have 100 images, then you should not use an index method. deepface's find function performs better. index methods should be adopted if you have 1M+ samples. |
yes, indeed deepface's find function is much faster but for my data, it is not giving accurate results |
Hey @serengil I have one small task to do, would you give me a hand if possible, |
the best way to do that is to use verify function - it will take some time |
Yeah verify gave me better results but taking some time. why can't we get same results with find function as it is very fast? |
we discussed this yesterday, verify and find are doing same, find stores its outcomes in a pickle file to restore later. |
yeah we discussed about it. but for me results are not same. hoping the insight face's buffalo_l model will give better results. thanks for your patience and we appreciate your work. |
Hey just my opinion Vector store like Milvus can give you dynamic indexing and storing,need not build everytime. + they have searching and indexing params you can configure. checkout Milvusdb |
@darkar18 thanks for suggestion i'll look into it. |
what exactly is this piece of code doing
and can i just add my own faces embeddings without creating synthetic data? if so how can i do that?
Thank you.
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