| commit | 0bee2f8778d8563d9de221e76ff57a3e45df20b8 | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Mon Oct 25 20:07:22 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Mon Oct 25 20:07:22 2021 +0000 |
| tree | 2c7b13f93c58db1c6b27dbe997fbfde8f7ba210e | |
| parent | c9f48d3739fb7b61c804049dd3d2ad968f189be5 [diff] |
Experiment with 640x480 fixed frame Change-Id: Iafcb0002cfdaa5a9db17928c02d65831196dc5c6
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