| commit | 925bfe3988dd16e58d29d311d5b9d483f30eddf4 | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Tue Dec 14 21:39:10 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Tue Dec 14 21:39:10 2021 +0000 |
| tree | 14d7839262117bc5369a59fb4f3d65065f4e677c | |
| parent | ec6bbd30f05652343e6608dfb3c7e460263228b8 [diff] |
Remove 4th unknown cam Change-Id: I835ebd15b4d9bdb94c7298a6876954871c3d37d6
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