edswarthoutnxp/arm64ml repository overview

NXP arm64 OpenCV + ncnn face-recognition + web-server

1. Start a name database server with:

docker run --rm -t --name ncnn_server --net host edswarthoutnxp/arm64ml:ncnn-face fr_server

1. For each camera/web-server machine run:

docker run --rm -t --name ncnn_web --device /dev/video0 --net host edswarthoutnxp/arm64ml:ncnn-face python main.py --dev usb

(for usb camera - check video device with ls -l /dev/video0)

or

docker run --rm -it --name ncnn_web --net host edswarthoutnxp/arm64ml:ncnn-face python main.py --dev rtsp://$ROOT:$PASS@$IPADDR/axis-media/media.amp

(for IP camera - set correct ROOT, PASS, and IPADDR variables, check with vlc rtsp://$ROOT:$PASS@$IPADDR/axis-media/media.amp)

1. open browser to port 5000