v0.6.1-beta

Video Analytics Serving (VA Serving) is a python package and microservice for deploying hardware optimized media analytics pipelines. It supports pipelines defined in GStreamer* or FFmpeg* media frameworks and provides APIs to discover, start, stop, customize and monitor pipeline execution. Video Analytics Serving is based on Intel® Distribution of OpenVINO™ Toolkit - DL Streamer and FFmpeg Video Analytics.

New and Changed in Release v0.6.1-beta

Title	Description
Documentation updates	Added more examples to extensions developer guide and customizing pipeline requests. Removed LVA references from Edge AI Extension Module README
OpenVINO 2021.4.1 support	Updated DL Streamer base image to OpenVINO 2021.4.1

Issues Resolved by This Release

Description	Issue
Tracking pipeline can drop results if tracking-type parameter is set to “short-term”	#72
Audio inference fails on some platforms	#79
VA Client outputs blank lines if watermarking enabled in spatial analytics pipelines	#80
How to use web camera source	#83
Error when trying to execute object line crossing pipeline	#84
Zone counting pipeline can hang when watermarking is enabled	#86

Known Issues

Known issues can be found as GitHub issues. If you encounter defects in functionality, please submit an issue.

Description	Issue
RTSP re-streaming plays back at frame processing rate, not encoded rate.	#68
Models can be picked up from previous build	#71
Docker build fails if directory name contains spaces	#38
Difficult to get normalized coordinates for spatial analytics parameters	#87
Docker build fails if no_proxy setting contains spaces	TBD
Spatial Analytics pipelines do not generate events with default parameters	TBD
MQTT clientID metadata destination property is not supported	TBD

Tested Base Images

Supported base images are listed in the Building Video Analytics Serving document.

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