| commit | 7f9a451d257405f827fd65f1b63ab8e0ce137d50 | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Tue Oct 12 00:14:58 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Tue Oct 12 00:14:58 2021 +0000 |
| tree | 63e7567a888fba37462ad54141d68ae9a6479d86 | |
| parent | 5aa73460568d0a7e97fe8368e3df2b770ff198a2 [diff] |
H.264 video encoding Change-Id: I5a05b34ee8bd584a0377b2a4582880a3305b82b1
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