commit | 79615b99e0521428f87457c49b4c557ef68495f6 | [log] [tgz] |
---|---|---|
author | Shad Ansari <shad69@gmail.com> | Thu Sep 30 11:15:41 2021 -0700 |
committer | Shad Ansari <shad69@gmail.com> | Thu Sep 30 11:15:41 2021 -0700 |
tree | 1a7f52f281b373b770b60c69d472c34e0279557e | |
parent | 30a2373c1d72044cd4a710894b2bca18f136ebcb [diff] |
AETHER-2319 Move VideoCapture to frame() Change-Id: Ic9d266c9455565abc0e9dbf351e5b3cd63bc4774
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