commit | 9a95c3d70bdec753589a08546425e30107b1c92d | [log] [tgz] |
---|---|---|
author | Shad Ansari <shad69@gmail.com> | Thu Dec 09 04:32:09 2021 +0000 |
committer | Shad Ansari <shad69@gmail.com> | Thu Dec 09 04:32:09 2021 +0000 |
tree | e3cf5d2dbe489b091d2310277f28f0d00783774c | |
parent | 5e8d06967f890b150b71e66f17cd607961163b99 [diff] |
Fancy index.html Change-Id: Id34b142c250b0977c8ec884e335c120f2ff01cc9
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.
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
make docker-build
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
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
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>
./bin/person_detection.sh -i resources/run.mp4
or
make run-native-test