deepstream-services-library
Library of on-demand DeepStream Pipeline Services for AI-based video analytics
GraphCanon updated 3w · GitHub synced 3w
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-librarySimilar 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.
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
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
Masteris always the latest release and is only updated once per release.Developis the next release currently in development. The branch will be named with the next release label.Featureall 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.