Savant Framework

Description

Savant is an open-source framework designed for high-performance computer vision and video analytics. Built on NVIDIA DeepStream, it allows developers to create real-time applications that run efficiently on both edge and data center hardware. Savant supports a hybrid edge and cloud model, enabling seamless streaming and processing of video data. It is particularly suited for applications in automotive, robotics, and scalable cloud environments.

The framework is designed to be developer-friendly, offering a Python-based SDK and more than 30 real-life samples to facilitate the transition from concept to production. Savant integrates with popular libraries like OpenCV CUDA, PyTorch, and CuPy, allowing for efficient pipeline development. It also supports advanced features such as OpenTelemetry and Prometheus for monitoring and performance tracking.

Savant's architecture is highly flexible, supporting dynamic source and sink management, and it can be deployed in Docker containers for ease of use. The framework is cloud-ready and can handle low latency and high capacity processing, making it suitable for a wide range of applications. Its robust API and advanced data protocol ensure seamless integration with IoT and third-party systems.

Developed by the In-Sight team at Bitworks Software, Savant aims to democratize NVIDIA DeepStream technology, making it accessible to machine learning and computer vision engineers. It provides a comprehensive solution for building end-to-end video analytics applications, from data labeling and model training to deployment and CI/CD.

Savant Framework's Core Features

• Open-source framework

• Built on NVIDIA DeepStream

• Real-time video analytics

• Hybrid edge and cloud support

• Python-based SDK

• Integration with OpenCV CUDA, PyTorch, CuPy

• OpenTelemetry and Prometheus support

• Docker-based deployment

How to use Savant Framework?

1. 1

   Download: Obtain the Savant framework from GitHub

2. 2

   Install: Set up the framework on your hardware

3. 3

   Configure: Customize the pipeline for your application

4. 4

   Deploy: Run the pipeline on edge or data center devices

5. 5

   Monitor: Use OpenTelemetry and Prometheus for performance tracking

Savant Framework's Use Cases

• Automotive Analytics
• Robotics Integration
• Cloud Video Processing
• Edge Device Deployment
• Real-time Monitoring

FAQ from Savant Framework

• What is the Savant Framework?

  Savant is an open-source framework for high-performance computer vision and video analytics, built on NVIDIA DeepStream.

• What platforms does Savant support?

  Savant supports NVIDIA edge devices like Jetson and data center devices such as Tesla and Quadro.

• Is Savant suitable for cloud deployment?

  Yes, Savant is cloud-ready and can be deployed in Docker containers for ease of use.

• What programming languages does Savant support?

  Savant primarily supports Python, with additional support for C++ and Rust.

• Can Savant handle real-time video processing?

  Yes, Savant is designed for real-time video analytics, capable of handling low latency and high capacity processing.

• Does Savant offer any monitoring tools?

  Savant integrates with OpenTelemetry and Prometheus for comprehensive monitoring and performance tracking.

• What kind of applications can be built with Savant?

  Savant is suitable for applications in automotive, robotics, scalable cloud environments, and more.

• Is there a community or support available for Savant users?

  Yes, users can join the Savant community on Discord for support and idea exchange.