Skip to content
This repository has been archived by the owner on Jul 10, 2023. It is now read-only.

2022.2.0

Latest
Latest
Compare
Choose a tag to compare
@whbruce whbruce released this 24 Oct 21:41
· 3 commits to main since this release
2022.2.0
552608a
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

Intel® Deep Learning Streamer Pipeline Server Release v1.0

Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Server 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. Intel® DL Streamer Pipeline Server is based on Intel® DL Streamer Pipeline Framework and FFmpeg Video Analytics.

What's Changed

Title Description
Kubernetes Sample Microk8s based sample has been replaced by a "vanilla" Kubernetes equivalent with enhanced features
Action Recognition This preview pipeline has been temporarily removed while we migrate to Pipeline Framework Architecture 2.0
Improved Security By default source and destination data from pipeline requests is removed from metadata and pipeline status. It can be optionally included via server configuration.

What's New

Title Description
OpenVINO™ Toolkit 2022.2 support Now using intel/dlstreamer:2022.2.0-ubuntu20 as base image which includes the latest version of OpenVINO™ Toolkit.
Improved Kubernetes sample Significant refactor of sample to provide the following new features:
  • Helm install and configuration via values.yaml
  • RTSP and WebRTC re-streaming from cluster
  • Access to shared model, pipeline and extension folders through Persistent Volumes
  • REST API support for listing all pipeline instances in cluster
  • Optional https security via HAProxy
  • Controller and sidecar docker images to manage the Pipeline Server routing and deployments for multiple Pipeline Server deployment
  • GPU support for Kubernetes via Intel GPU Plugin
Add message field to REST pipeline status Status now contains details of pipeline error
Improve REST API security Added sample for securing server with Nginx and improve validation of requests
Intel® Data Center GPU Flex Series (preview) Added a sample previewing use of this GPU for AI visual inference

What's Fixed

Description Issue
Pipeline failure in some multi-GPU systems #98
Intermittent 30s delay in pipeline start during multi-stream sessions #104
Kubernetes deployment fails if no_proxy contains * #105
Server crashes after several minutes when using RTSP camera and GPU inference #111
Parameter substitution in pipeline template crashes the server #117

Known Issues

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

Description Issue
Docker build fails if directory name contains spaces #38
Models can be picked up from previous build #71
Difficult to get normalized coordinates for spatial analytics parameters #87
Yolo-v3-tiny-tf model with INT-8 precision gives bad inferences #116

Tested Base Images

Supported base images are listed in the Building Intel® DL Streamer Pipeline Server document.

* Other names and brands may be claimed as the property of others.

Assets 2
Loading