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Deep Learning Streamer Pipeline Server

Deep Learning Streamer Pipeline Server (DL Streamer Pipeline Server) is a Python-based, interoperable containerized microservice for easy development and deployment of video analytics pipelines. It is built on top of GStreamer and Deep Learning Streamer (DL Streamer), providing video ingestion and deep learning inferencing functionalities.

Video analytics involves the conversion of video streams into valuable insights through the application of video processing, inference, and analytics operations. It finds applications in various business sectors including healthcare, retail, entertainment, and industrial domains. The algorithms utilized in video analytics are responsible for performing tasks such as object detection, classification, identification, counting, and tracking on the input video stream.

Deploy using Docker Compose


For more details on deployment, refer to the documentation.

Deploy using Kubernetes Charts


For more details on deployment, refer to the documentation.

Supported versions


2025.2.0

3.1.0

3.0.0

License Agreement


Copyright (C) 2024 Intel Corporation.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Legal Information


Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

GStreamer is an open source framework licensed under LGPL. See GStreamer licensing⁠. You are solely responsible for determining if your use of GStreamer requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of GStreamer.

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