| commit | 30a2373c1d72044cd4a710894b2bca18f136ebcb | [log] [tgz] |
|---|---|---|
| author | Shad Ansari <shad69@gmail.com> | Wed Sep 29 23:07:21 2021 -0700 |
| committer | Shad Ansari <shad69@gmail.com> | Wed Sep 29 23:07:21 2021 -0700 |
| tree | f1b34ae98fc4e8e0c103dde07835381b1763b126 | |
| parent | d36545158c556c3caa21c8e27be76c9068e012a4 [diff] |
Initial commit for web interface Change-Id: I133eaf37221a050eb3c87e245b86ae54c610d446
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