have built https://github.com/AastaNV/Face-Recognition, which appears to be a little dated these days.
In fact will not compile as is. However with a little bit of surgery it can be built on TX2 running the now older jetpack 3.3 installation. This is based around Ubuntu 16.04. Which is also due to be EOL soon.
So would like to know if anyone has been successful in building on the latest JETPACK 4.2 release for Xavier, TX2 or even nano. The latest JETPACK looks much nicer to upgrade to given the releases of all
the components it contains plus moving to a Ubuntu 18.04 base is more in keeping with other development platforms.
The above software does run well on a TX2, using the pre-built models and the trained data sets.
What I would ideally like to do would be add or only use the classifier to recognise faces that are captured on the TX2. Similar to how a smartphone does face unlock.
I realise that the original training for the detector and classifier were done using very large data sets. I would like to used the current detector model and even the classifier model but only use a limited set of subjects for the actual face recognition.
Is there tooling that can be run on the TX2 that would allow the injection of a number of subjects into the classifier to do the recognition? Don’t really want to run this on a remote host to do this unless I have to. Also would like to know if it would be possible to run such a setup on a Jetson nano.