Basic Deep Learning Streamer Pipeline Server Configuration

DL Streamer Pipeline Server exposes multiple application related fields in the config file. The configuration file is present in [WORKDIR]/edge-ai-libraries/microservices/dlstreamer-pipeline-server/configs/default/config.json on your host machine.

The following table describes the essential attributes that are supported in the config section.

Parameter	Description
pipelines	List of DL Streamer pipelines.

The parameters applicable for each pipeline are described below.

Parameter	Description
name	Name of the pipeline. This is used to differentiate pipeline URL in CURL command e.g. [SERVER-IP]/pipelines/user_defined_pipelines/[NAME]
pipeline	DL Streamer pipeline description.
source	Source of the frames. This should be "gstreamer" or "image-ingestor".
parameters	Optional JSON object specifying pipeline parameters that can be customized when the pipeline is launched
auto_start	The Boolean flag for whether to start the pipeline on DL Streamer Pipeline Server start up.
queue_maxsize	Optional queue size to limit the output buffer from appsink element.
udfs	UDF config parameters

Refer to this tutorial to update the configuration file and deploy DL Streamer Pipeline Server with updated configs.

DL Streamer Pipeline Server pipelines are executed by GStreamer, so users must define their pipelines using GStreamer elements. Refer to the GStreamer Documentation and GStreamer Plugins for detailed guidelines on constructing pipelines.