Loading model state into FaceRecognizer from memory or string in python opencv

Question

Is it possible to load the model for a FaceRecognizer from memory or a string rather than from a saved file. The API docs do not show a 'FromString or Buffer' version.

The current code loads from file:

model = cv2.createLBPHFaceRecognizer()
model.load('model.xml')

Some more background. The presisted models are stored in S3. I don't want to retrieve from S3 and then save to disk in order to use. I would rather load directly from s3 into the model or load the xml string/document into the model.

berak · Accepted Answer · 2014-01-26 17:37:16Z

4

unfortunately, not possible from python ( cv2 ) atm.

while you can do it from c++ ,

string yml; // the whole schlepp in a string
FileStorage fs;
fs.open(yml,FileStorage::READ|FileStorage::MEMORY);
facereco->load(fs);
fs.release();

sad as it is, you can neither access FileStorage api, nor the FaceReco::load(FileStorage&) methods from python

(sidenote : at least you could resave them once from the facereco as yml.gz, to get the traffic down to 1/5 of the uncompressed xml)

answered Jan 26, 2014 at 17:37

berak

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2 Comments

IUnknown Over a year ago

Thanks for the info. Too bad I can't do it from python yet - this would be a nice feature to add to cv2. Will also look into using yml.

berak Over a year ago

yea, i know, been playing around with heroku and such myself, where ther's no treal filesystem, or only an ephemeral one.

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