I am creating one facial recognition application using Facenet model. I want to store the face embedding computed by the model into MongoDB database that I have created using python. But I am getting an error while inserting the vector of length 128 into DB. The error is something like this
File "/usr/local/lib/python3.5/dist-packages/pymongo/network.py", line 102, in command None, codec_options, check_keys) bson.errors.InvalidDocument: Cannot encode object: array([-0.05931559, -0.00251597, -0.0259446 , 0.04900783, -0.01918399)
I tried different things like changing the embedding vector into dict as
dict(embedding-vector)
but that also did not work.
Is there any way that it can be done? If yes how?
Or should I switch to another database?