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deepstream-services-library

prominenceai/deepstream-services-library

Library of on-demand DeepStream Pipeline Services for AI-based video analytics

GraphCanon updated 3w · GitHub synced 3w

347 stars69 forksLast push 1y C++ MIT

Decision brief

A library of on-demand DeepStream Pipeline services for Python and C++, supporting computer vision tasks such as object detection through integration with the NVIDIA DeepStream SDK.

Good fit when

  • When developing AI-based video analytics applications that require integration with NVIDIA's GPU-accelerated tools.
  • For projects demanding high-performance inference and real-time video processing, leveraging both Python and C++ interfaces.

Avoid when

  • When the primary development environment is not Linux-based, as DeepStream Services Library has NVIDIA-specific dependencies.
  • For applications needing real-time analytics on platforms that do not support NVIDIA GPUs.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (501d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/prominenceai/deepstream-services-library

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

prominenceai/deepstream-services-library provides on-demand service libraries for Python and C/C++, supporting computer vision tasks such as object detection through integration with the NVIDIA DeepStream SDK

Capability facts

Languages
c++

Source: github.language · Aug 1, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 1, 2026)

"` API, The DeepStream Services Library (DSL) can be called from both C/C++ and Python applications.
Source link
Works with VS CodeVS Code

Source: README excerpt (regex_v1, Aug 1, 2026)

* [Using VS Code](/docs/vscode.md)
Source link

Tags

README

Intelligent Audio and Video Analytics (IAVA)

A library of on-demand DeepStream Pipeline services. Written in C++ 17 with an extern "C" API, The DeepStream Services Library (DSL) can be called from both C/C++ and Python applications.

Examples

C++

#include <DslApi.h>

// New V4L2 Source
uint retval = dsl_source_v4l2_new(L"my-web-cam-1", L"/dev/video0");

Python3

from dsl import *

# New V4L2 Source
retval = dsl_source_v4l2_new('my-web-cam-1', '/dev/video0')

DSL is built on the NVIDIA® DeepStream SDK, "A complete streaming analytics toolkit for AI-based video and image understanding, as well as multi-sensor processing.",

The DeepStream SDK and DSL use the open source GStreamer,  "An extremely powerful and versatile framework for creating streaming media applications".


Contributing

DSL is released under the MIT License. Contributions are welcome and greatly appreciated. Please review our code of conduct.

Please report issues!

DSL Branching Workflow

  1. Master is always the latest release and is only updated once per release.
  2. Develop is the next release currently in development. The branch will be named with the next release label.
  3. Feature all work is done on feature branches, named for the feature under development.

All pull requests should be made against the current Develop branch.

Discord

Come join us on Discord, an informal place to chat, ask questions, discuss ideas, etc.

DSL Users Guide

  • Release Notes
  • Overview
  • Installing Dependencies
  • Building and Importing DSL
  • API Reference
    • Pipeline
    • Player
    • Source
    • Tap
    • Video Dewarper
    • Preprocessor
    • Inference Engines and Servers
    • Multi-Object Tracker
    • Segmentation Visualizer
    • Tiler
    • Demuxer and Splitter
    • Remuxer
    • On-Screen Display
    • Sink
    • Branch
    • Component
    • Custom Component
    • Pad Probe Handler
    • ODE Trigger
    • ODE Accumulator
    • ODE Acton
    • ODE Area
    • ODE Heat-Mapper
    • Display Type
    • Mailer
    • WebSocket Server
    • Message Broker
    • Info API
  • Examples
    • Basic Inference Pipelies
    • Multiple Sources, Tilers, and Demuxers
    • Advanced Inference Pipelies
    • Smart Recording
    • Object Detection Event (ODE) Services
    • Encoding Frames to JPEG
    • Dewarping and Segmentation
    • Dynamic Pipelines
    • Custom Components
    • Working with OpenCV
    • Diagnostics and Utilites
    • Tkinter Reference App
    • HTML WebRTC Client
  • Using VS Code

For agents

This page has a .md twin and JSON over the API.

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