commit	f64b92a01bc07681d044e848a13f5b94438abcde	[log] [tgz]
author	shad <shad@node3.prod1.menlo>	Thu Jan 13 19:06:29 2022 +0000
committer	shad <shad@node3.prod1.menlo>	Thu Jan 13 19:06:29 2022 +0000
tree	3ab5ff5af5429061ef82cdeb34919890cbe6daba
parent	2eddc1ef8a1ebe21ae7f734f078b00c746071a28 [diff]

tree: 3ab5ff5af5429061ef82cdeb34919890cbe6daba

README.md

Person-detection Application

person-detection is a demo application that runs in the Aether edge and showcases Aether's support for for low-latency, AI/ML driven IOT applications that make use of Aether's support for end-to-end slicing.

Build base image

git clone git@github.com:openvinotoolkit/docker_ci.git
cd docker_ci
python3 docker_openvino.py build -d cpu -os ubuntu18 --distribution runtime --product_version 2021.4

Build person-detection

make docker-build

Start RPi camera

M-JPEG

gst-launch-1.0 rpicamsrc bitrate=1000000 ! video/x-raw,width=640,height=480,framerate=25/1,profile=baseline ! jpegenc ! rtpjpegpay ! udpsink host=10.128.99.49 port=5000

H.264

gst-launch-1.0 rpicamsrc bitrate=1000000 ! video/x-h264,width=640,height=480,framerate=15/1 ! h264parse ! rtph264pay config-interval=10 pt=96 ! udpsink host=10.128.99.49 port=5000

Start person-detection-app

make docker-run

docker pull registry.aetherproject.org/aether-apps/person-detection-app:<tag>
docker run -itu root:root --privileged --network host registry.aetherproject.org/aether-apps/person-detection-app:<tag>

Quick test

./bin/person_detection.sh -i resources/run.mp4

make run-native-test