| commit | c0726e65858230bba8b0c501dfddfaca3d78488c | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Mon Oct 04 22:38:53 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Mon Oct 04 22:38:53 2021 +0000 |
| tree | 6d2bd6b5c53f0c52d1d39b7e07cc271ca2d13a94 | |
| parent | b5808d71a27c5ddcd1642feb829d003f34fbeee2 [diff] |
Two cameras work Change-Id: Ibd6f0454d5d67c57c4a7735b79a854c0d3a9c59f
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 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
make run
./bin/person_detection.sh -i resources/run.mp4
or
make run-native-test