Reserved memory usage for facial recognition
minhnghiaduong997 at gmail.com
Sun Jul 12 07:27:22 BST 2020
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.
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