| commit | ef185d2af3f29de210116b360501f2e6d75bbdcb | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Thu Oct 14 17:49:26 2021 +0000 |
| committer | Shad Ansari <shad69@gmail.com> | Thu Oct 14 17:49:26 2021 +0000 |
| tree | 8b913baf5b6fadf14158cf76f89c7392d602669c | |
| parent | 7f9a451d257405f827fd65f1b63ab8e0ce137d50 [diff] |
Enable async mode Change-Id: Iabb6667850a181333a1c2bd7eeb95ddd592da42c
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
./bin/person_detection.sh -i resources/run.mp4
or
make run-native-test