CompreFace VS deepface

# https://github.com/exadel-inc/CompreFace/blob/master/docs/Face-services-and-plugins.md)

I looked at Double Take (UI that lets you do the training of your face recondition easily) and found CompreFace as one of models they support. It looks like what I need but there is a catch... no OpenVino (intel CPUs AI accelerator) support. I really like my low power NVR setup and would like keep it that way. Running AI on CPU without acceleration is both power inefficient and much slower. I have a spare low end GPU but if dump it in the system the current AI acceleration brakes... (I know I can prob fix it but that is a rabbit hole I would prefer to avoid).

This has good UI and also good recognition: https://github.com/exadel-inc/CompreFace

wget -q -O tmp.zip 'https://github.com/exadel-inc/CompreFace/releases/download/v1.1.0/CompreFace_1.1.0.zip' && unzip tmp.zip && rm tmp.zip

https://github.com/exadel-inc/CompreFace/ Is already a good locally-run API for face detection and facial recognition. Thankyou for your suggestion.

If you are looking for open source stuff and are able to self-host it, maybe have a look at CompreFace.

As almost always, on GitHub https://github.com/exadel-inc/CompreFace

Looking into this I found Compreface (https://exadel.com/solutions/compreface/) an open source face recognition software. There are alread some controb scripts, like contrib/photils.lua, who take some images, run them through a tool, then tag them with data coming from the tool. Converting this to use Compreface looks likea promising avenue.

You might also want to categorize using either mediapose's holistic model which includes the face mesh or maybe something that gauges emotion like this: https://github.com/serengil/deepface

This is another one I tried but requires programming knowledge. https://github.com/serengil/deepface

It must be a matter of time before we have this, we have so many library's that can detect a face expression. For example: https://github.com/serengil/deepface

I bought a On1 license, but as you point out, it has no facial recognition nor any plans to add it. That also means it has no concept of face regions as implemented in XMP, so that cannot be retrofitted by running face recognition externally, e.g. using an open-source solution like Deepface.

deepface - newer version which has multiple face detectors in it you can mess with, dlib included. Also does face recognition.

If you're looking for models / planning to write some code yourself: Have a look at ArcFace for recognition and RetinaFace for face detection by Insightface. DeepFace repository might also be worth a try.

DeepFace: https://github.com/serengil/deepface

DeepFace utilizes a collection of different face detection models listed here: models = ["VGG-Face", "Facenet", "Facenet512", "OpenFace", "DeepFace", "DeepID", "ArcFace", "Dlib", "SFace"]