GstInference

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GstInference

A GStreamer deep learning inference framework.

GstInference is an open-source project from RidgeRun Engineering that provides a framework for integrating deep learning inference into GStreamer. Either use one of the included elements to do out of the box inference using the most popular deep learning architectures or leverage the base classes and utilities to support your own custom architecture.

Checkout the GstInference proposal presentation that RidgeRun gave at the GStreamer 2018 conference, at Edinburgh, Scotland, UK.

GstInference Benchmarks Overview

There are two versions of GstInference: a CPU-based non-accelerated version that you can download for free from the below mentioned links :

A GPU-based hardware-accelerated version uses the GPU to pump up the performance of the algorithms and provides a dramatic improvement in the system as depicted in the figure below. You can download this accelerated version (supports GPU and CPU both) for free from the below mentioned links:

or you can contact us if you have any questions.

For further information you can check: Benchmarks page.


FPS Measurements

CPU Load Measurements

GstInference Videos

Promo video:

Get started with GstInference by clicking the button below!

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Visit our Main Website for the RidgeRun Products and Online Store. RidgeRun Engineering informations are available in RidgeRun Professional Services, RidgeRun Subscription Model and Client Engagement Process wiki pages. Please email to support@ridgerun.com for technical questions and contactus@ridgerun.com for other queries. Contact details for sponsoring the RidgeRun GStreamer projects are available in Sponsor Projects page. Ridgerun-logo.svg
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