Reserved memory usage for facial recognition

[Maik Qualmann]

We reserve memory for the DImg cache, depending on the existing one, up to 
200MB. 

https://invent.kde.org/graphics/digikam/-/blob/master/core/libs/threadimageio/
fileio/loadingcache.cpp#L169

So around 200MB for the face engine, if they are still securely in the system, 
I would find okay for current computers with around 8GB of memory.

But SQLite is quite fast, did you set the parameter to activate the SQLite 
cache?

Maik

Am Sonntag, 12. Juli 2020, 08:27:22 CEST schrieb Nghia Duong:
> Hi all,
> 
> I am testing a spatial database implementation on SQLite for facial
> recognition of faces engine. For now, we can perform K-Nearest search on a
> table but I am concerned about its performance. For a table of 16000
> entries, the search time is about 700ms and it's a little bit slow.
> Therefore, I am considering storing a KD-Tree structure directly on memory.
> I estimate that the memory needed for a data node is from 512 bytes to 1500
> bytes, both on memory and on the database.
> 
> I don't know whether it is too much. Could you let me know the amount of
> memory that can be reserved for this part of faces engine, please? Thank
> you in advance.