Deep Learning Streamer
Deep Learning Streamer is a media analytics framework for building video and audio intelligence pipelines.
Find alternatives to Deep Learning Streamer
What it does
- Video analytics
Features 5
- Pipeline FrameworkFramework for designing, building and running media analytics pipelines with C++ and Python APIs.
- Pipeline ServerDeploys and scales media analytics pipelines as micro-services, with REST APIs for pipeline management.
- Messaging integrationPublishes inference results to MQTT or Kafka with built-in elements.
- Python-first extensibilityCustom logic can be added as Python callbacks or full Python elements without C++.
- VLM and GenAI supportRuns Vision-Language Models such as MiniCPM-V, CLIP and Whisper inside a GStreamer pipeline.
Sources
- Pricing
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Official documentation · 15 Oct 2026
"an open-source media analytics framework"
- Description
-
Official documentation · 15 Oct 2026
"an open-source media analytics framework"
- What it does
-
Official documentation · 15 Oct 2026
"build video and audio intelligence pipelines"
- Sold within
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Official documentation · 15 Oct 2026
"Install DL Streamer Pipeline Framework"
- Name
-
Official documentation · 15 Oct 2026
"Deep Learning Streamer (DL Streamer)"
- URL
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Official documentation · 15 Oct 2026
"Deep Learning Streamer (DL Streamer)"
- Deployment
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Official documentation · 15 Oct 2026
"Install Docker image from Docker Hub and run it"
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'It includes REST APIs for pipelines management'.
- Intended for
-
Official documentation · 18 Oct 2026
Page: 'DL Streamer gives you the building blocks to bring these solutions to production'.
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