How To Advanced

This section refers to few advanced features and tutorials provided by DL Streamer Pipeline Server.

• Model Update

• Object tracking

• Enable HTTPS for DL Streamer Pipeline Server

• Performance Analysis

• Get tensor vector data

• Multistream pipelines with shared model instance

• Cross stream batching

• Enable Open Telemetry

• WebRTC Frame Streaming

• Working with other services

Model Update

To update models while a pipeline instance is running, refer this doc

Object tracking

To learn about object tracking refer this doc

DL Streamer Pipeline Server https

To enable secure REST API, refer this doc

Performance Analysis

To learn about performance metrics using GST tracers and logging, refer this doc

Get tensor vector data

To learn how to get tensor data during inference, refer this doc

Multistream pipelines with shared model instance

To learn how to share models with multiple pipelines for performance, refer this doc

Cross stream batching

To learn about cross stream batching feature, refer this doc

Enable Open Telemetry

To enable Open Telemetry and capture various runtime statistics, refer this doc

WebRTC Frame Streaming

To learn how to stream frames over WebRTC protocol, refer this doc

Working with other services

To learn how DL Streamer Pipeline Server interacts with other microservices such as Model Registry, refer this doc