v0.6.0-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 v0.6.0-beta

Title	Description
Spatial Analytics	GVA Python powered pipeline extensions deliver zone counting and line crossing spatial analytics.
Extension Developer Guide	Guide for developing extensions.
Action Recognition	Added GStreamer and Edge AI Extension Module pipelines with a general-purpose action recognition composite model, consisting of encoder and decoder parts, trained on Kinetics-400 dataset.
Frame Record and Retrieve Sample	Added a sample that inserts a frame identifier into metadata allowing an application to retrieve corresponding frame from a frame store.
Edge AI Extension Module Improvements	Added spatial analytics and action recognition pipelines Properties in media stream descriptor can be added to the extensions field in results Removed scaling from topology for improved detection accuracy as DL Streamer will automatically scale to match selected model Added XPU operations file that runs three pipelines executing detection inference on CPU, GPU and VPU (NCS2) respectively.
OpenVINO 2021.4 support	GStreamer version updated to 1.18. Added action recognition models (feature preview)

Issues Resolved by This Release

Description	Issue
Build fails if UID is not 1000	#61
Intermittent error during concurrent pipeline tear-down in Edge AI Extension Module	#69
Tracking pipeline can drop results if tracking-type parameter is set to short-term	#72
vaclient gives misleading error if server not running	#74

Known Issues

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

Description	Issue
VA Client outputs blank lines if watermarking enabled in spatial analytics pipelines	#80
Audio inference fails on some platforms	#79
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

Tested Base Images

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

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