| commit | 6c155c41a1e67db34f48e9324b3302b6d3f205d1 | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Wed Nov 17 19:48:02 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Wed Nov 17 19:48:02 2021 +0000 |
| tree | c8344f3dab90135cf9c0f57df9562f53de606352 | |
| parent | 72c174d1ac27649c0ac8606f3c1d8b9bc72ec37d [diff] |
Camera scripts Change-Id: Idb5a5d8bae420a095906f22874f2bb90f56639e5
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