commit | 72c174d1ac27649c0ac8606f3c1d8b9bc72ec37d | [log] [tgz] |
---|---|---|
author | Shad Ansari <shad69@gmail.com> | Thu Nov 11 19:04:16 2021 +0000 |
committer | Shad Ansari <shad69@gmail.com> | Thu Nov 11 19:04:16 2021 +0000 |
tree | 8af9c81bfeb2778f436aafbe01b291ab0104dc66 | |
parent | f763389c07fbb7c8a70c7027c509fa22e7fbf52d [diff] |
Add script to start camera on Raspberry Pi Change-Id: I7442a96e5c2f94205ed6eb20ef5df9d8470ae17e
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