| commit | 586442018ce3efd548200109d9014a2c4379b658 | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Mon Nov 01 15:04:43 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Mon Nov 01 15:04:43 2021 +0000 |
| tree | d4f8f87b0f77ba048e9326fb609199d30ed50f79 | |
| parent | 51554d84d251d4d8983271bfdd61326f2d096861 [diff] |
Playout video at constant frames per sec Change-Id: Ia81412abe2b2ffb17151d490691625aa784ef4c0
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