• Easy to use demo to demonstrate GPU accelerated Inference
• Based on the NGC DeepStream container (https://ngc.nvidia.com/catalog/containers/nvidia:deepstream)
• Leverages Kubernetes, Helm, NGC, DeepStream
• Best deployed via Helm to deploy the application
• Does not require a Video Management System (VMS)
• Requires an IP camera
DeepStream SDK delivers a complete streaming analytics toolkit for real-time AI based video and image understanding and multi-sensor processing. DeepStream SDK features hardware-accelerated building blocks, called plugins that bring deep neural networks and other complex processing tasks into a stream processing pipeline. The SDK allows you to focus on building core deep learning networks and IP rather than designing end-to-end solutions from scratch.
More information on the DeepStream container here: (https://ngc.nvidia.com/catalog/containers/nvidia:deepstream)
Execute the below command to deploy the Intelligent Video Analytics Demo.
helm install video-analytics-demo
Download VLC Player from: https://www.videolan.org/vlc/ on the client machine where the user intends to view the video stream.We can view the video stream by entering the following URL in the VLC player.
rtsp://IPAddress of Node:31113/ds-test
IPAddress of the node can be viewed by executing ifconfig on the server node
The DeepStream SDK license is available within the container at the location /root/deepstream_sdk_v4.0.1_x86_64/LicenseAgreement.pdf. By pulling and using the DeepStream SDK (deepstream) container in NGC, you accept the terms and conditions of this license.
For more information on DeepStream documentation containing Development guide, Plug-ins manual, API reference manual, migration guide, FAQ and release notes can be found here https://docs.nvidia.com/metropolis/index.html
If you have any questions or feedback, please refer to the discussions on DeepStream SDK Forum.
For more information, including blogs and webinars, see the DeepStream SDK website.